Compare commits

..
24 Commits
Author SHA1 Message Date
Kevin Darby e0fdf74a73 fix crash where account name > 12 chars, tested with long account name 2019-07-11 17:51:45 -04:00
Kevin Darby ebedd17129 Merge branch 'master' of bitbucket.org:bluetradesys/spark into excel_algos 2019-07-11 14:59:19 -04:00
Kevin Darby 0f8ed5dacb range to vector mapping 2019-07-11 14:15:06 -04:00
Kevin Darby 14f4452599 . 2019-07-10 23:21:56 -04:00
Kevin Darby 22002c43cf getting there 2019-07-10 18:43:09 -04:00
Kevin Darby 7551e23877 spreadsheet 2019-07-10 00:06:27 -04:00
Kevin Darby 22c92c3e17 ranges... 2019-07-10 00:05:24 -04:00
Kevin Darby 613823e7c5 arrays starting to work 2019-07-09 23:22:18 -04:00
Kevin Darby f0a9a2415d adding notion of bts_parameters 2019-07-09 18:31:05 -04:00
Kevin Darby 708e63e36e almost have C 2019-07-09 14:39:11 -04:00
Kevin Darby 53990297e8 parsing right along 2019-07-08 23:54:55 -04:00
Kevin Darby 9570be8bfa it builds, ship it. 2019-07-08 23:16:31 -04:00
Kevin Darby 0b15570d00 more parser 2019-07-08 18:22:12 -04:00
Kevin Darby 5fbc1397b5 messing with proj 2019-07-08 14:59:12 -04:00
Kevin Darby 38bd2ef321 Merge branch 'master' of bitbucket.org:bluetradesys/spark into excel_algos 2019-07-08 14:29:03 -04:00
Kevin Darby 59c00203a9 Merge branch 'master' of bitbucket.org:bluetradesys/spark into excel_algos 2019-07-08 13:10:23 -04:00
Kevin Darby 706e5bc73b excel 2019-07-08 11:22:53 -04:00
Kevin Darby 6cf395199e working on visitor 2019-07-06 23:25:51 -04:00
Kevin Darby 1707c3268f excel formula grammar, antlr4 integration. Successful parse tree 2019-07-05 18:24:41 -04:00
Kevin Darby 9b73ad2486 playing with excel parsing 2019-07-05 11:06:19 -04:00
Kevin Darby 205eebb7da excel formulae 2019-07-04 23:43:22 -04:00
Kevin Darby ef4dc1fc65 more excel 2019-07-04 23:25:28 -04:00
Kevin Darby 474401cddc new spreadsheet 2019-07-01 17:59:18 -04:00
Kevin Darby 3ebcf9a270 example of join in excel 2019-07-01 16:21:38 -04:00
1316 changed files with 18623 additions and 213377 deletions

No files matched your search

+35 -40
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@@ -1,40 +1,35 @@
nohup.out
build/
cmake-build-debug/
.idea/
.dir-locals.el
*.pyc
.vscode/*
!.vscode/*.json
.vs
obj/
*.csproj.user
*.vspx
*.psess
msbuild.log
*.orig
vcxproj.user
src/client/spark/Properties/launchSettings.json
compile_commands.json
.cquery_cached_index/
src/client/sparkcmd/Properties/launchSettings.json
node_modules
paket-files
project.lock.json
src/server/sparkd/orderman/perf_analysis/data
src/server/sparkd/orderman/perf_analysis/logs/
src/server/sparkd/orderman/perf_analysis/trace_data/
.fake
*.fsx.lock
*.code-workspace
src/lib/orderman/perf_analysis/logs/latency_data/
trace_data/
/src/lib/orderman/perf_analysis/last_pretty_log.csv
/src/lib/orderman/perf_analysis/log.csv
/doc/user/public/*
.ionide/*
/.ignore
*.rej
/build
.clangd/
*CMakeDeps.cmake
nohup.out
build/
cmake-build-debug/
.idea/
.dir-locals.el
*.pyc
.vscode/*
!.vscode/*.json
.vs
obj/
*.csproj.user
*.vspx
*.psess
msbuild.log
*.orig
vcxproj.user
src/client/spark/Properties/launchSettings.json
compile_commands.json
.cquery_cached_index/
src/client/sparkcmd/Properties/launchSettings.json
node_modules
paket-files
project.lock.json
src/server/sparkd/orderman/perf_analysis/data
src/server/sparkd/orderman/perf_analysis/logs/
src/server/sparkd/orderman/perf_analysis/trace_data/
.fake
*.fsx.lock
*.code-workspace
src/lib/orderman/perf_analysis/logs/latency_data/
trace_data/
/src/lib/orderman/perf_analysis/last_pretty_log.csv
/src/lib/orderman/perf_analysis/log.csv
/doc/user/public/*
.ionide/*
+3 -8
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@@ -5,9 +5,7 @@
"includePath": [
"/usr/include",
"/usr/local/include",
"${workspaceRoot}",
"${workspaceFolder}/src",
"${workspaceRoot}/externals/linux/include"
"${workspaceRoot}"
],
"defines": [],
"intelliSenseMode": "clang-x64",
@@ -15,16 +13,13 @@
"path": [
"/usr/include",
"/usr/local/include",
"${workspaceRoot}",
"${workspaceFolder}/src",
"${workspaceRoot}/externals/linux/include"
"${workspaceRoot}"
],
"limitSymbolsToIncludedHeaders": true,
"databaseFilename": ""
},
"cStandard": "c11",
"cppStandard": "c++17",
"compileCommands": "${workspaceFolder}/build/ninja_debug/compile_commands.json"
"cppStandard": "c++17"
},
{
"name": "Windows",
+6 -34
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@@ -1,41 +1,13 @@
{
"version": "0.2.0",
"configurations": [
{
"name": "Spark Local",
"type": "cppdbg",
"request": "launch",
"program": "${workspaceRoot}/build/ninja_debug/server/sparkd",
"args": [
"run",
"test",
"-a",
"OutrightVanillaOrder"
],
"stopAtEntry": false,
"cwd": "${workspaceRoot}/build/ninja_debug/server/",
"environment": [
{ "name": "TZ", "value": "America/Chicago" }
],
"externalConsole": false,
"MIMode": "gdb",
"setupCommands": [
{
"description": "Enable pretty-printing for gdb",
"text": "-enable-pretty-printing",
"ignoreFailures": true
}
]
},
{
"name": "SparkVM Launch",
"type": "cppdbg",
"request": "launch",
"program": "/home/bts/spark/build/ninja_debug/server/sparkd",
"args": [
"test",
"-a",
"[ilink3]"
"run"
],
"stopAtEntry": false,
"cwd": "/home/bts/spark/build/ninja_debug/server/",
@@ -132,7 +104,7 @@
"request": "launch",
"program": "C:/Program Files/Microsoft Office/Office14/EXCEL.EXE",
"args": [
"${workspaceRoot}/build/Debug/bin/net471/spark_excel-addin64-packed.xll"
"${workspaceRoot}/build/Debug/bin/net471/spark_excel-addin64.xll"
],
"cwd": "${workspaceRoot}",
"stopAtEntry": false,
@@ -146,7 +118,7 @@
"program": "${workspaceRoot}/build/Debug/bin/net471/sparkcmd.exe",
"args": [
"test",
"ApiUpdateTests"
"test_filter"
],
"cwd": "${workspaceRoot}",
"stopAtEntry": false,
@@ -163,13 +135,13 @@
"name": "Spreader Tests",
"type": "cppdbg",
"request": "launch",
"program": "/home/bts/spark/build/ninja_debug/server/sparkd",
"program": "/home/bts/spark/build/ninja_debug/src/server/sparkd/sparkd",
"args": [
"test",
"[spreader]"
],
"stopAtEntry": false,
"cwd": "/home/bts/spark/build/ninja_debug/server/",
"cwd": "/home/bts/spark/build/ninja_debug/src/server/sparkd/",
"environment": [],
"externalConsole": true,
"MIMode": "gdb",
@@ -277,7 +249,7 @@
"program": "/home/bts/spark/build/ninja_debug/server/sparkd",
"args": [
"test",
"[algo]"
"SingleWriterConcurrentVector"
],
"stopAtEntry": false,
"cwd": "/home/bts/spark/build/ninja_debug/server/",
+10 -19
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@@ -14,21 +14,24 @@
"focus": false,
"panel": "shared"
},
"group": "build"
"group": {
"kind": "build",
"isDefault": true
}
},
{
"label": "server_build",
"label": "server_build",
"type": "shell",
"command": ".\\tools\\buildsparkd.cmd",
"problemMatcher": {
"base": "$gcc",
"problemMatcher": {
"base": "$gcc",
"owner": "cpp",
"fileLocation": [
"relative",
"${workspaceFolder}"
"${workspaceFolder}"
],
"pattern": {
"regexp": "(.?)(home)(.?)(bts)(.?)(spark)(.?)(.*):(\\d+):(\\d+):\\s+(warning|error):\\s+(.*)",
"regexp": "(.?)(home)(.?)(bts)(.?)(spark)(.?)(.*):(\\d+):(\\d+):\\s+(warning|error):\\s+(.*)",
"file": 8,
"line": 9,
"column": 10,
@@ -46,18 +49,6 @@
"kind": "build",
"isDefault": true
}
},
{
"label": "linux build (Debug)",
"type": "shell",
"command": "cd build/ninja_debug; time ninja",
"group": {
"kind": "build",
"isDefault": true
},
"problemMatcher": [
"$gcc"
]
}
}
]
}
+2 -2
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@@ -41,7 +41,6 @@ else ()
-Wno-missing-braces -Wno-ignored-qualifiers \
--std=c++17 -fdiagnostics-color")
set (CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_DEBUG} -fno-omit-frame-pointer -DNDEBUG -O3")
set (CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -DDEBUG")
set (CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wno-undef")
add_subdirectory(src/server/sparkd)
add_subdirectory(src/lib)
@@ -56,9 +55,10 @@ else ()
COMMAND ln ARGS -sf ${CMAKE_BINARY_DIR}/web ${CMAKE_BINARY_DIR}/server
COMMAND ln ARGS -sf ${CMAKE_BINARY_DIR}/data_files ${CMAKE_BINARY_DIR}/server
COMMAND ln ARGS -sf ${CMAKE_BINARY_DIR}/src/lib/libspark.so ${CMAKE_BINARY_DIR}/server
COMMAND ln ARGS -sf ${EXTERNALS_ROOT}/lib/Release/libOnixS.IceImpactMulticastPriceFeedHandlerCpp.so.3.16.0.0 ${CMAKE_BINARY_DIR}/server
COMMAND ln ARGS -sf ${EXTERNALS_ROOT}/lib/Release/libOnixS.IceImpactMulticastPriceFeedHandlerCpp.so.3.13.0.0 ${CMAKE_BINARY_DIR}/server
COMMAND ln ARGS -sf ${EXTERNALS_ROOT}/lib/Release/libACE-5.7.5.so ${CMAKE_BINARY_DIR}/server
COMMAND mkdir ARGS -p ${CMAKE_BINARY_DIR}/server/plugins
COMMAND ln ARGS -sf ${CMAKE_BINARY_DIR}/sdk/examples/order_plugin_example.so ${CMAKE_BINARY_DIR}/server/plugins/
COMMENT "Creating server runtime layout"
DEPENDS sparkd data_files_dir)
-1
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@@ -1 +0,0 @@
public
-15
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@@ -1,15 +0,0 @@
# The URL the site will be built for
base_url = "https://api.bluetradesys.com"
title = "BTS Spark API"
description = "Documentation for the BTS Spark API"
compile_sass = true
highlight_code = true
highlight_theme = "kronuz"
insert_anchor_links = true
build_search_index = true
[extra]
author = "Blue Trading Systems"
-5
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@@ -1,5 +0,0 @@
+++
title = "BTS Spark API"
+++
This is index
-7
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@@ -1,7 +0,0 @@
+++
title="Client API"
redirect_to = "client/getting-started/overview/"
sort_by="weight"
+++
@@ -1,6 +0,0 @@
+++
title="Getting Started"
sort_by="weight"
weight = 1
+++
@@ -1,25 +0,0 @@
+++
title = "Install Prerequisites"
weight = 10
+++
# C#/.NET
We target [.NET Standard 2.0](https://docs.microsoft.com/en-us/dotnet/standard/net-standard) so you can use .NET Framework 4.6.1+ or .NET Core 2.0+. Simply add a reference to the [Spark Nuget package](https://www.nuget.org/packages/spark_sdk/) to get started.
```
dotnet new console -lang c#
dotnet add package spark_sdk
dotnet build
```
# C++
The easiest way to get started with C++ is to use the Spark Server SDK to develop your application. Follow the instructions to [download and install the Spark Server SDK](/server/getting-started/install) and open the client_sdk sample project. If you want to run your C++ Client SDK application on Windows [contact us](mailto://api@bluetradesys.com) to get the required headers and binaries.
# JavaScript
We use JavaScript internally with the Spark Client API over a websocket connection but the documentation and packaging isn't ready yet. If this is something you're interested in get in touch with us at [api@bluetradesys.com](mailto:api@bluetradesys.com).
@@ -1,31 +0,0 @@
+++
title = "Overview"
weight = 1
+++
The Spark Client SDK is a high level command and control API which can be used to build scripts or integrate Spark into your existing ecosystem. The API is divided into several independent **"services"** responsible for different aspects of the system. A Service can define both [remote procedure call (RPC)](/client/getting-started/services#rpc) and incremental [streaming](/client/getting-started/services#streams) data.
The [Spark Desktop](https://www.bluetradingsystems.com/bts-spark/) is built on top of this API so you can be assured that it is complete and well tested.
Spark uses [Google Protocol Buffers](https://developers.google.com/protocol-buffers/) as an interface definition language similar to [GRPC](https://grpc.io) but backed by our custom high-performance TCP protocol. We currently support C#/.NET and C++ <!--and Javascript--> but the architecture is designed for easy extension so contact us about your specific business needs.
## Orders
Use the [OrderService](/client/services/orderservice) to send and manage orders including native exchange orders, spreader orders, and custom Algo orders created using the [Spark Server SDK](https://api.bluetradesys.com/server/).
## Spreader
Use the [SyntheticSecurityService](/client/services/syntheticsecurityservice) to create and manage synthetic spreads. Once created these spreads show up in the security and market data feeds just like exchange listed spreads.
## Position
Use the [PositionService](/client/services/positionservice) to get your position and P&L reports or add fills manually to keep the Spark system up to date with an external system.
## Administration
Use the [AdminService](/client/services/adminservice) to manage users and control limits.
## Market Data
For .NET subscribe to market data though the high level MarketDataClient interface. From C++ or JavaScript use the MarketDataRelay service directly.
@@ -1,140 +0,0 @@
+++
title = "Services"
weight = 20
+++
The Spark Client SDK uses [Google Protocol Buffers](https://developers.google.com/protocol-buffers/) to define the interface for each service in a language independent manner. Services have both functions which return a single result and streams of data which return values continuously while subscribed. This page describes the mapping from the Protocol Buffer definition to the concrete definition in each supported language.
# ServiceContext
To connect your client to the Spark Server you need to get or create a `ServiceContext` instance. A `ServiceContext` represents a connection to the Spark Server and a background thread for handling messages on that connection. Generally there should be a single `ServiceContext` per process. All of the methods on the `ServiceContext` are safe thread safe.
Construct a ServiceContext by calling the default constructor. The ServiceContext will find the Spark Server by loading the server configuration over an HTTP connection. To determine the URL it will search the following locations and use the first one that is present.
* A command line argument `-configserver <url>`
* An environment variable `BTSCONFIG`
* `%APPDATA%/bts/conf/spark.conf` (Windows)
* /sparkdata/conf/spark.conf (Linux)
* $HOME/sparkdata/conf/spark.conf (Linux)
If your application is running on a system with the BTS Client installed this will probably work without any further configuration. If you plan to run your client application on a separate machine we recommend setting the `BTSCONFIG` environment variable.
<div class="info">
<i class="fa fa-lightbulb-o fa-fw" aria-hidden="true"></i>
If you are using the Spark Server SDK to run a local copy of the Spark server set <p><strong>BTSCONFIG = http://localhost:9000/config/</strong></p>
</div>
To get a proxy for a given service call ServiceContext.locate&lt;T>("qualifier") where T is the type of the service and "qualifier" is an optional qualifier used to disambiguate between 2 instances of the same service. The locate call cannot fail but it may return a disconnected proxy. When you make a call on the proxy you should check the call result to see if the method call succeeded.
# RPC
Here is the OrderService reduced to a single method definition. A RPC method always takes exactly 1 argument and returns 1 value. In this example the `create_order` call takes a `Create` instance and returns a `Response`.
```C
service OrderService {
rpc create_order(Create) returns (Response);
...
}
```
The `Create` and `Response` types are also defined as protocol buffer messages. Each field can either be a primitive type another message or a list or map.
```C
message Create {
OrderDefinition new_order = 1;
double price = 2;
uint32 quantity = 3;
}
message Response {
uint32 order_key = 1;
OrderError error_code = 2;
string msg = 3;
}
```
Each RPC call generates both synchronous (blocking) and asynchronous variants. In C# the asynchronous calls have the `_async` suffix and return a `Task`. In C++ the call is overloaded to either return a value synchronously or accept a callback function to be called on the ServiceContext thread when the call completes. <!-- In Javascript only async methods returning a Promise are generated because it never makes sense to make a blocking call in the browser. -->
To call the resulting service locate a proxy using the [ServiceContext](#servicecontext) and then call `cancel_order` or `cancel_order_async`. If you are calling the Spark API from a GUI application you should always prefer the `_async` version of the calls.
### C# example
```c#
var ctx = new ServiceContext();
var orders = ctx.locate<OrderService>();
var response =
await orders.create_order_async(
new Create { price = 2.25, quantity = 42 });
if (response.success) {
Console.WriteLine($"success: {response.value}");
}
else {
Console.WriteLine($"Error: {response.error_message}");
}
```
### C++ example
```cpp
auto ctx = ServiceContext{};
auto orders = ctx.locate<OrderService>();
Create c;
c.set_price(2.25);
c.set_quantity(42);
// Instead of providing an _async method C++ uses overloading.
// To make a syncronous call simply omit the callback
orders.create_order(c, [=](const Result<Response>& response) {
if(response.success()) {
std::cout << "success.";
}
else {
std::cout << "error: " << response.error_message();
}
});
```
# Streams
Streams allow you to subscribe to live updating data. Each stream represents a changing collection of protocol buffer objects. Similar to a database row each item has an `id` which uniquely identifies it within the collection. Updates from the Spark server can add, remove or replace entries in the collection. Since only the changed items are sent over the wire the stream can remain responsive even when it represents a large collection.
Streams are implemented using the language bindings for [ReativeX](http://reactivex.io/) which provide utility functions to drill down to the specific data your application needs. In C# we provide both mutable and immutable versions of the generated data types (C++ users can rely on `const`).
When defined in a proto file streams use the `stream` keyword on the result type.
```C
service OrderService {
...
rpc fills (FillsSub) returns (stream Fill);
}
```
### C# example
```c#
var sc = new ServiceContext();
var orders = sc.locate<OrderService>();
var fills_observable = orders.subscribei_fills();
var unsub = fills_observable.Subscribe(update => {
Console.WriteLine(
"Added {0} items, Removed {1} items, Updated {2} items. Total items {3}",
update.added.Count(),
update.removed.Count(),
update.changes.Count(),
update.all.Count());
});
Thread.Sleep(TimeSpan.FromMinutes(5));
unsub.Dispose();
```
### C++ Example
```cpp
#include "lib/api/public/ServiceContext.h"
#include "lib/api/services/OrderService.client.pb.h"
using namespace bts::api;
ServiceContext ctx;
auto orders = ctx.locate<orderman::OrderService>();
auto unsub = orders.subscribe_fills().subscribe([](const auto& update) {
std::cout
<< "Added " << update.added().size() << " items, "
<< "Removed " << update.removed().size() << " items, "
<< "Updated " << update.updated().size() << " items, "
<< "Total items " << update.all().size() << std::endl;
});
std::this_thread::sleep_for(std::chrono::minutes(5));
```
-6
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@@ -1,6 +0,0 @@
+++
title="Samples"
sort_by="weight"
weight = 30
+++
@@ -1,3 +0,0 @@
+++
title = "AdminService"
+++
@@ -1,3 +0,0 @@
+++
title = "OrderService"
+++
@@ -1,3 +0,0 @@
+++
title = "PositionService"
+++
@@ -1,3 +0,0 @@
+++
title = "SyntheticService"
+++
@@ -1,6 +0,0 @@
+++
title="Services"
#sort_by="weight"
weight = 10
+++
@@ -1,51 +0,0 @@
+++
title = "Market Data"
+++
Use the MarketDataService to subscribe enumerate all available securities.
```cs
using System;
using System.Threading;
using bts.api;
using bts.api.core;
namespace sample {
class Program {
static void Main(string[] args) {
using var context = new ServiceContext();
var md = context.locate<MarketDataService>();
using var sub = md.subscribe_securities().Subscribe(update => {
foreach (var security in update.added) {
Console.WriteLine($"Added security {security.Id}: {security.Symbol}");
}
});
Thread.Sleep(TimeSpan.FromMinutes(5));
}
}
}
```
```cpp
#include "lib/api/public/ServiceContext.h"
#include "spark/lib/domain_model/Security.h"
#include "lib/api/services/MarketDataService.client.pb.h"
#include <thread>
using namespace bts::api;
int main(int argc, char** argv) {
ServiceContext ctx;
auto md_service = ctx.locate<bts::api::MarketDataService>();
auto sub = md_service.subscribe_securities().subscribe([](const auto& update) {
for (const auto& s : update.added()) {
std::cout << "Added security: " << s->id() << ": " << s->symbol() << std::endl;
}
});
std::this_thread::sleep_for(std::chrono::minutes(5));
return 0;
}
```
-24
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@@ -1,24 +0,0 @@
+++
title="Algo API"
redirect_to = "server/getting-started/overview/"
sort_by="weight"
+++
Getting Started
- Install (docker, editor)
- Downloading
- Write your first algo
- Testing
Reference
- Subscriptions
- Child Orders
- Detaching
- Attaching
- ...
Samples
- Iceberg
- Pro-rata
@@ -1,6 +0,0 @@
+++
title="Getting Started"
sort_by="weight"
weight = 1
+++
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@@ -1,138 +0,0 @@
+++
title = "Development"
weight = 3
+++
# Visual Studio Code
In this section we're going to use the Remote - Containers feature of <a href="https://code.visualstudio.com/" target="_blank">Visual Studio Code<i class="fa fa-fw fa-window-restore" aria-hidden="true"></i></a> to simplify the development experience. If you are using a different editor skip to the <a href="#other-editors">other editor</a> section below.
## Remote - Containers
The Visual Studio Code Remote containers extension allows it to run a complete development environment inside the Spark SDK Docker container. The editor UI runs as a thin client on your desktop and connects to a headless instance running inside the Spark SDK Docker environment. This configuration allows us to ship a pre-configured set of [Tasks](https://code.visualstudio.com/Docs/editor/tasks) for building and testing your code.
Start Visual Studio Code and click on the puzzle piece icon on the left-hand side to open the extensions panel. Use the search box at the top to find the "Remote - Containers" extension and install it.
<img src="../vscode_remote_containers.png" width="640" />
## Into the Code
Open the examples/algo_template directory using the File->Open Folder menu option. If you opted to add it to your path during install, you could run `code .` from your command prompt.
When the workspace opens, you should see a notification offering to let you re-open the workspace inside the container.
<img src="../vscode_notification.png" width="480" />
The first time you open the workspace inside the container it will take a few seconds to configure the spark_sdk docker container. While the workspace is open in Visual Studio Code the docker image will also be running in the background. The container will stop automatically when you close the editor.
Open algo_template.cpp from the file browser on the left or by pressing ctrl-p and typing the name. Each Algo is a standard C++ class which implements **IAlgoOrder**. Placing your cursor on IAlgoOrder and pressing F12 will take you to the IAlgoOrder.h header file where you can browse the API. To learn more about how an Algo is instantiated see the [Algo Initialization](/server/ref/initialization).
## Compiling
To build press "Ctrl+Shift+B". You should see the build output at the bottom of your screen. If the build was successful the resulting algo_template.so will be automatically copied to the plugins directory where it will be loaded by the Spark server process on start.
<img src="../compiled.png" width="640" />
## Debugging
To debug your Algo set a breakpoint (F9) and open the Debug panel (Ctrl+Shift+D) and choose "(gdb) Launch". This will launch the Spark Server inside the container with the debugger attached.
<img src="../gdb_launch.png" width="380" />
With sparkd running you can launch the Spark Client (spark_client.cmd) and it will connect to the running server. Log in with the user "bts" and no password and open a ladder. You can now select your Algo on the order type dropdown and activate it by clicking on a price on the ladder.
<img src="../myalgo.png" width="150" />
While sparkd is running you can also access the Spark Server Admin interface on [http://localhost:9000](http://localhost:9000). Use the same "bts" login to access the admin interface. Here you can manage user and account permissions and risk limits.
## Starting Spark Server
To start the Spark Server without attaching a debugger press "Ctrl+Shift+P" and select "Tasks: Run Task" and then "Start Sparkd" and "Never scan task output" This will open a new terminal where you can see any messages logged with the **Sdk** subsystem as well as any warnings or errors. To stop the Spark server simply kill the terminal (trash can icon) or run the "Stop Sparkd" task.
## Next Steps
If you would like to understand more about how Docker is working behind the scenes continue to the [next section](#other-editors). Otherwise, continue to [Algo Registration](/server/ref/registration) to learn how Algos are registered with the Spark.
<hr>
# Other Editors
In this section you will be more exposed to the details of how Docker works and how to compile and test your Algo using the command line.
## Docker
Spark Server is built and runs only on Linux so you need a Linux development environment to effectively develop plug-ins for it. Docker lets you take the spark_sdk.img disk image and run it inside a virtual Linux machine running on your Windows desktop.
First, some terminology. A Docker "image" is a disk image containing a complete filesystem. The spark_sdk.img file you imported earlier is an image. A Docker "container" is what you get when you get when you attach this image to a running Linux system. You can connect to a running container and use it to run commands like the C++ compiler or the Spark server. Directories from your local filesystem can be mapped into the Docker container when it starts so you can easily share files.
### Start
The first step is to start the spark_sdk Docker container with the examples directory mapped so we can compile the examples inside the container. In your command prompt cd to the *examples* directory that you unzipped from the spark_sdk.zip file. Then run the following command to start the container.
Windows Command Prompt:
{% clipable() %}
docker run --rm -it -v %CD%:/examples -u bts -w /examples --shm-size 2048m --name spark_sdk -h spark_sdk --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -p 9000:9000 -p 9001:9001 spark_sdk bash
{% end %}
**Powershell** / Linux / Mac:
{% clipable() %}
docker run --rm -it -v ${PWD}:/examples -u bts -w /examples --shm-size 2048m --name spark_sdk -h spark_sdk --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -p 9000:9000 -p 9001:9001 spark_sdk bash
{% end %}
### Attach
The container will remain as long as this prompt is open. You can attach an additional to the running container with the following command:
{% clipable() %}
docker exec -it spark_sdk bash
{% end %}
## Compiling
Let's look at the algo_template sample first. All of the samples are laid out similarly with a `build.sh` script for compiling. As long as you are running build.sh inside the spark Docker container, it automatically copies the build output to /sparkbin/plugins/ where it needs to be to get loaded by the Spark server.
```
bts@spark_sdk:/examples$ cd algo_template/
bts@spark_sdk:/examples/algo_template$ ./build.sh
algo_template.so copied to /sparkbin/plugins/
Restart sparkd to see changes.
```
## Starting Spark Server
To start the Spark server `cd /sparkbin/` and run `./sparkd run`. Press Ctrl+C to stop it.
```
bts@spark_sdk:/sparkbin$ ./sparkd run
2019-10-25 16:21:09.383626|262552152803600|Gen|Warn |1 |main|132 |Run.cpp:53 |dev|
------------------------------------ Sparkd launched --------------------------------
```
You will see any Sdk log messages as well as any log messages at or above Warning level from other parts of the system. If you need additional diagnostic information more details logs are stored in /sparkdata/data/logging/log. These logs will be automatically deleted when you stop the Docker container.
With sparkd running you can launch the Spark Client (spark_client.cmd) and it will connect to the running server. Log in with the user "bts" and no password and open a ladder. You can now select your Algo on the order type dropdown and activate it by clicking on a price on the ladder.
<img src="../myalgo.png" width="150" />
While sparkd is running you can also access the Spark Server Admin interface on [http://localhost:9000](http://localhost:9000). Use the same "bts" login to access the admin interface. Here you can manage user and account permissions and risk limits.
## Debugging
You can debug your algo using gdb from the bash command prompt.
```bts@spark_sdk:/sparkbin$ gdb --args ./sparkd run
GNU gdb (Ubuntu 8.1-0ubuntu3) 8.1.0.20180409-git
Copyright (C) 2018 Free Software Foundation, Inc.
...
Reading symbols from ./sparkd...done.
(gdb) break algo_template.cpp:45
No source file named algo_template.cpp.
Make breakpoint pending on future shared library load? (y or [n]) y
Breakpoint 1 (algo_template.cpp:45) pending.
(gdb) run
Starting program: /sparkbin/sparkd run
```
If your editor supports debugging over the ssh protocol you can start sshd from inside the container.
## Next
Continue to [Algo Registration](/server/ref/registration) to learn how Algos are registered with the Spark.
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title = "Download SDK"
weight = 2
+++
## Request Access 🔑
To start using the Server SDK you will need to request access though our sales department. Please email <a href="mailto:api@bluetradesys.com">api@bluetradesys.com</a> or call <a href="tel:919-913-0850">(919) 913-0850</a> and we will provide download credentials.
## Download
Download the latest SDK image here: [spark_sdk.zip](https://api.bluetradesys.com/download/spark_sdk.zip)
Unzip that folder into a working directory. Inside you should see something like this:
```
spark_sdk.img
client/
spark_client.cmd
examples/
```
## Import
Import the spark_sdk image into docker using the `docker load` command.
{% clipable() %}
docker load < spark_sdk.img
{% end %}
<div class="info">
<i class="fa fa-lightbulb-o fa-fw" aria-hidden="true"></i>
<strong>If you see this error it means Docker Desktop is not running:</strong>
error during connect: Get http://%2F%2F.%2Fpipe%2Fdocker_engine/v1.40/images/json: open //./pipe/docker_engine: The system cannot find the file specified. In the default daemon configuration on Windows, the docker client must be run elevated to connect. This error may also indicate that the docker daemon is not running.
</div>
Confirm that the import worked by running `docker images` which should list the new image.
```
c:\bts> docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
bluetradingsystems/spark_sdk latest e2be89436e73 4 hours ago 3.89GB
```
<!--
## Run
Start the docker container by running
```
docker run -d -v %CD%:/work --name spark_sdk --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -p 8000:8000 -p 8001:8001 -p 8008:8008 bluetradingsytems/spark_sdk
```
<div class="linux">
<i class="fa fa-linux fa-fw" aria-hidden="true"></i>
If you are using Linux or Mac replace <strong>%CD%</strong> with <strong>$PWD</strong>.
</div>
The first time you invoke `docker run` you may be prompted to "share" your filesystem with Docker. This usually works fine but if you run into trouble, see <a href="">Docker Desktop for Windows tips</a> on avoiding common problems.
## Success 🎉
Docker is now running the spark SDK image. If you are on Windows or Mac it is running inside a virtual Linux machine. You can see that is is running by typing `docker ps` to list running docker containers. If you restart the Docker Desktop application you will need to start the spark_sdk image again using `docker start spark_sdk`.
You should now be able to access an admin interface at http://localhost:8008/ which will let you stop and start the spark server process.
-->
## Update
To update your Spark SDK simply download an unzip a new [spark_sdk.zip](https://api.bluetradesys.com/download/spark_sdk.zip) and use `docker load < spark_sdk.img` to overwrite the old image with the new one.
To preserve the old image so you can go back to it later run `docker tag spark_sdk spark_sdk:your_custom_tag` before loading the new SDK image.
### Re-build the Dev Container
If you are using Visual Studio Code you also need to rebuild the dev-container so it picks up the new image.
#### Inside VSCode
To re-build from inside Visual Studio Code. Click the 'Remote Explorer' icon on the left hand side.
You should see your spark_sdk project listed under the Containers section. Right click on it and select **rebuild-container**.
#### Command Line
To re-build from the command line run `docker ps -a` and find the row with the spark_sdk image.
```
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
54d96cfa3888 spark_sdk "/bin/sh -c 'echo Co…" About a minute ago Up About a minute 127.0.0.1:9000-9001->9000-9001/tcp quizzical_lichterman
```
Then run `docker rm 54d96cfa3888` (use your container id instead of 54d96cfa3888) or `docker rm quizzical_lichterman` (use your container name).
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title = "Install Prerequisites"
weight = 1
+++
These instructions assume you are using Microsoft Windows but you should be able to follow them on a Linux or Mac with minor modifications.
{% linux() %}
When there is a significant difference on non-Windows platforms it will be called out in a box like this one.
{% end %}
{% info() %}
Tips or solutions to common problems will be highlighted in a box like this.
{% end %}
The minimum hardware requirements for using the SDK are:
- **12 GB** RAM (preferably 16 GB or more)
- 4 CPU cores
- 20 GB free hard disk space
The Spark SDK uses a tool called Docker to distribute all of the tools you need to build and test your trading algorithm ("Algo"). Once you have Docker installed you can download and import the Spark SDK image and be ready to start developing your Algo in a few minutes.
## Docker
Download and install <a href="https://www.docker.com/products/docker-desktop" target="_blank">Docker Desktop for Windows/Mac. <i class="fa fa-fw fa-window-restore" aria-hidden="true"></i></a>
<div class="linux">
<i class="fa fa-linux fa-fw" aria-hidden="true"></i>
If you are using Linux follow the <a href="https://docs.docker.com/install/#supported-platforms">official install instructions for Docker for your distribution.</a>
</div>
During the install Docker may ask you to enable virtualization support and reboot.
Once Docker Desktop is installed and running it will create an icon in your system tray area that looks like the Docker logo.
![](../docker_tray.png)
Right click on the tray icon and choose 'Settings' and choose the 'Advanced' tab.
Ensure that the docker image has 8192 MB of memory and at least 2 cores. Memory that you assign to the docker image will not be available to Windows/Mac while Docker is running. CPU cores are shared with the host OS. Since you are going to use this image to compile your Algo it makes sense to allow Docker to use all available cores.
<img src="../docker_config.png" width="640" >
## Sharing
You need to give Docker access to the Windows drive where your source code is kept.
Open Settings -> Shared Drives and check the drive where you intend to keep your Algo source code.
<div class="info">
<i class="fa fa-lightbulb-o fa-fw" aria-hidden="true"></i>
If you run into trouble with drive sharing, see <a href="https://code.visualstudio.com/docs/remote/troubleshooting#_docker-desktop-for-windows-tips">Docker Desktop for Windows tips</a> on avoiding common problems.
</div>
## Editor
The Server SDK includes a complete configuration for C++ development with the <a href="https://code.visualstudio.com/" target="_blank">Visual Studio Code <i class="fa fa-fw fa-window-restore" aria-hidden="true"></i></a> editor. If you are a new to C++ development on a Linux system we recommend you give this a try as it's the easiest way to get up and running quickly. Of course, If you have a different editor that you prefer we fully support that as well.
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Using the **Spark Server SDK**, users can create new order types ("Algos"). In this case, users implement the new functionality in C++, producing a shared library that is loaded at run time by our Spark Server.
If you are interested in accessing Spark server remotely, please see the [Spark Client SDK](/client/).
## Speed
The Spark platform offers a sub-10 microsecond socket to socket response times for algorithmic trading. With the **Spark Server SDK**, you can create your order types in high-performance C++ and load them into the Spark server.
Since your order is running inside the Spark Server, there is virtually no overhead allowing your algorithm to take full advantage of the speed Spark offers. Hosting a high-performance language like C++ directly in the Spark server process allows it to respond to the market thousands of times faster than an Algo built using a proprietary drag and drop tool.
## Easy to Get Started
If you are not actively developing with C++, it can be time-consuming to set up a complete development environment from scratch. That is why we provide a full development environment out of the box with [Docker](https://docker.io) so you can download and try the Server SDK quickly and easily.
Docker works across Windows, macOS, and Linux, so you don't need to change your development environment to try the Spark API. Docker also ensures that all of the dependencies you need are packaged together in one image, so you know it will work out of the box, no matter the platform.
## Implementation
Creating a new Algo begins with implementing a standard C++ class derived from IAlgoOrder. Start from the [algo_template](/server/samples/template) example to get going quickly.
The first call your new Algo receives is [do_before_launch](/server/ref/initialization#before-launch), which is an opportunity to validate parameters and allocate any long-lived resources needed during execution. Next, it receives either [do_launch](/server/ref/initialization#launch-launch-attached) in the case of a new order or [do_launch_attached](/server/ref/initialization#launch-launch-attached) if the order is attaching to an existing order.
The Algo receives a reference to [IAlgoServices](/server/ref/subscriptions/), which is how it calls out to the Spark system. It will use [IAlgoServices](/server/ref/subscriptions/) to subscribe to market events, launch and control child orders, and communicate its state to the larger Spark system.
## Fully Integrated
When a Spark Server plugin is loaded, it registers its exposed Algos with the Spark Server though the [init_spark_plugin](/server/ref/registration) callback. This callback allows the Algo to describe the parameters it expects so they can be automatically entered in the [Spark Client](https://www.bluetradingsystems.com/bts-spark/).
<img src="../myalgo.png" width="150" />
<img src="../paramsui.png" width="460" />
Compose your Algo with out of the box Algos in the [Spark Algo Studio](https://www.bluetradingsystems.com/news/155-bts-algo-studio-provides-algo-library-with-customization-functionality) to create new functionality on the fly.
<img src="../algostudio.png" width="548" /><br />
<img src="../iced_algo.png" width="460" />
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## I need to make a call that might take a few seconds. What is the best way to do this?
Create a background thread in [do_before_launch](/server/ref/initialization#before-launch) or [do_launch](/server/ref/initialization#launch-launch-attached) to do the work. Use [on_timer](/server/ref/subscriptions#timer) to poll until the result is available.
## I don't see the header files in the .zip file. Where are they?
The SDK headers are baked into the docker image along with the build tools. Once you've loaded the image with `docker load < spark_sdk.img` you can run this command to copy them out to your local file system `docker run --rm -it -v $PWD:/out spark_sdk /bin/tar -cvf /out/headers.tar /sdk/include` This will copy the headers to the current directory in headers.tar. We still recommend doing the actual build inside the docker environment but having a copy of the headers can be useful for setting up your development environment.
@@ -1,97 +0,0 @@
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title = "Initialization"
weight = 10
+++
Each Algo derives from IAlgoOrder and overrides virtual methods to receive callbacks from the Spark system.
## Before Launch
When an order is activated by a user or by another Algo, the first call it receives is do_before_launch. This call happens outside of the latency-sensitive path, so it's the place to validate parameters and set up data structures that the Algo might need.
This call returns an OrderOpResult, which allows it to fail and return an error message to its creator. If a user created this order, this message is displayed in the [Activity Log](https://www.bluetradingsystems.com/docs/bts_spark/Help/#activity-log) and across the bottom of the ladder.
Every SDK Algo is a "Dynamic" Algo since it's parameters are defined during [registration](/server/ref/registration/). Use the `get_if<T>` helper to retrieve a named parameter from the `order_params` collection as a `std::option<T>`. If a parameter has a valid default value you can use `std::option::value_or(...)` to set default values for missing parameters. If a parameter *must* exist or must be within a certain valid range, return an error to the caller.
```cpp
OrderOpResult MyAlgo::do_before_launch(IBeforeLaunchAlgoServices& serv) {
auto& def = serv.definition();
auto& params = def.custom_def().dynamic().order_params();
auto mqi = get_if<uint32_t>(params, "Min Quantity");
if (!mqi || mqi.value() == 0)
return OrderOpResult{
ORDER_ERROR_INVALID_ORDER_DEFINITON,
"Min Quantity parameter must be defined and non zero"};
}
```
<div class="info">
<i class="fa fa-lightbulb-o fa-fw" aria-hidden="true"></i>
The parameters are defined during <a href="/server/ref/registration/">registration</a> by the <a href="/server/ref/registration/#dynamicorderdescriptor">DynamicOrderDescriptor</a>.
</div>
### IBeforeLaunchAlgoServices
IBeforeLaunchAlgoServices is passed to `do_before_launch` and allows the Algo to query its environment.
```cpp
class IBeforeLaunchAlgoServices {
public:
// The OrderDefinition for this algo
virtual api::orderman::OrderDefinition const &definition() const = 0;
// The security this algo is paramterized with (also available from
// definition())
virtual api::Security const &security() const = 0;
// The unique order key for this algo
virtual OrderKey order_key() const = 0;
// The parent key for this algo's parent or null_order_key() if the
// algo does not have a parent
virtual OrderKey parent_order_key() const = 0;
// The security identified by k or nullptr if no such security exists
virtual api::Security const *lookup_security(SecurityKey k) const = 0;
// Wheter this algo is being attached to an existing order.
// If an algo does not support attaching it can return an error
// if is_attaching() == true from do_before_launch.
virtual bool is_attaching() const = 0;
// Build a child template that can later can be used to quickly
// launch child orders. The reserve parameter indicates how many
// orders should be created ahead of time, before they are
// launched. This is usefull to remove the relatively expensive
// order creation operation to a background thread.
virtual ChildTemplate &
make_child_template(api::orderman::OrderDefinition const &child_def,
size_t reserve = 1) = 0;
// Get the current time
virtual TimeStamp get_time() const;
};
```
## Launch / Launch Attached
Depending on the state of `is_attaching()` the next call will either be `do_launch` or `do_launch_attached`. The only difference is that in `do_launch_attached` the existing OrderKey and ChildState are provided.
`do_launch` and `do_launch_attached` are in the latency-sensitive path and should not do more work than needed. These functions get a reference to `IAlgoServices`, which is a superset of the functionality available on `IBeforeLaunchAlgoServices`. Most Algos should store a pointer or reference to this object for managing child orders (it has a stable address).
Now is the time to use `IAlgoServices` to subscribe to market events that are relevant to your Algo and create any child orders that need to exist at the start of your Algo. You can safely call IAlgoServices from any `IAlgoOrder` callback.
To learn more about subscribing to events see [subscriptions](/server/ref/subscriptions).
### Things to do in the launch callback
☑ Store a reference to IAlgoServices
☑ Subscribe to relevant market events
☑ Launch a child order?
## Update
If the user or parent Algo changes the order parameters (price, size, or the custom parameters defined during registration), Spark calls the `do_update` callback with the new parameters. It is up to the Algo to decide how to apply the new parameters to update the running state. It can do this by canceling, changing, or adding new child orders.
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Every Algo must, at some point, launch a child order to be useful. Each child order can be another Algo or regular exchange order. When the child order is updated or filled, those changes are also sent to the parent.
# Templates
Since launching a child order is one of the most latency-sensitive things an Algo can do, the Server SDK enables you to create a child template. An order template prepares an order based on a known OrderDefinition and gets it ready to send on a background thread. When the Algo determines it is time to send the order, it only needs to provide the price and quantity to complete and send the order. If an Algo expects to send multiple child orders, it can reserve more than one. Preparing a child template is typically done in [do_before_launch](http://127.0.0.1:1111/server/ref/initialization/#before-launch) callback.
```cpp
virtual ChildTemplate&
IBeforeLaunchAlgoServices::make_child_template(
api::orderman::OrderDefinition const &child_def,
size_t reserve = 1);
```
# Launch
IAlgoServices provides two overloads for launching child orders. By default, launching a child order automatically subscribes the Algo to its state changes.
Launch a child order from a template if you have one prepared. This is the fastest option.
```cpp
OrderKey IAlgoServices::launch_child(ChildTemplate&, Price, Quantity, bool subscribe = true);
```
Launch a child order by constructing an OrderDefinition as needed.
```cpp
OrderKey launch_child(OrderDefinition const &, Price, Quantity, bool subscribe = true);
```
When a child is launched its `OrderKey` is returned to the caller. This ID can be used to update, cancel, or detach the child order.
## Update
To update an existing child order, call update_child and pass an Update. The Update type lets you change the price, size or the entire OrderDefinition. You only need to specify the fields that you intend to update so only set the price() field if that is what you are changing.
```cpp
void IAlgoServices::update_child(OrderKey child, api::orderman::Update const &);
```
## Cancel
To cancel an existing child order call `cancel_child`. When the order is canceled you will receive an update though the `on_child_change` callback.
```cpp
void IAlgoServices::cancel_child(OrderKey child);
```
## Detach
The lifetime of a child order is tied to its parent. If a parent is canceled or completed child orders are automatically stopped as well. If the Algo needs to launch an order that will continue after the Algo ends use `detach_child` to sever the connection. This order hierarchy can be viewed in the Spark [Order Book](https://www.bluetradingsystems.com/docs/bts_spark/Trading/#order-book).
```cpp
void IAlgoServices::detach_child(OrderKey child);
```
To detach all children at once use `detach_all_children`.
```cpp
void IAlgoServices::detach_all_children();
```
# Child Updated
When a child order is updated the parent receives the `on_child_change` callback with an updated ChildState object.
```cpp
void on_child_change(OrderKey, ChildState const &) override;
struct ChildState {
Price price;
Quantity quantity;
Quantity total_fills;
Price avg_price;
Quantity last_fills;
Price last_price;
ChildStatus status;
Quantity fills_at_attach_time;
};
```
<!--
To talk about:
- updating fills (update_fill_state)
- handling child finished (unexpected cancel)
-->
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weight = 1
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When Spark Server starts, it loads all plugins listed in the /sparkbin/plugins directory and calls an exported function named `init_spark_plugin` which must have the following signature.
```cpp
extern "C" void init_spark_plugin(bts::SparkServices &serv) { }
```
The `init_spark_plugin` function registers the Algo with a DynamicOrderDescriptor. Once registered, the Algo appears in the [Spark ladder](https://www.bluetradingsystems.com/docs/bts_spark/Trading/#ladder) and the [Algo Studio](https://www.bluetradingsystems.com/docs/bts_spark/Trading/#algo-studio).
To register an Algo call `register_dynamic_algo_order` on the provided bts::SparkServices instance. This function takes the DynamicOrderDescriptor and a function that is called to construct the IAlgoOrder. A single init_spark_plugin can call register_dynamic_algo_order multiple times to register multiple Algos.
The DynamicOrderDescriptor must have a dynamic_order_type (name), or the registration will fail.
```cpp
DynamicOrderDescriptor desc;
desc.set_dynamic_order_type("My Algo");
auto result =
serv.register_dynamic_algo_order(
desc, []() { return std::make_unique<MyAlgo>(); });
if (result != bts::AlgoRegistrationResult::SUCCESS) {
// Algo failed to register
}
```
## DynamicOrderDescriptor
The DynamicOrderDescriptor describes the type of parameters that the Algo accepts. These inputs can come either from the user manually entering them or from a parent Algo. Spark Algos are composable, so one Algo can activate another. See [Child Orders](/server/ref/orders) for more on how to activate custom order types as child orders.
Add parameters to the DynamicOrderDescriptor by calling `add_param_desc()` and setting the name and parameter type.
```cpp
*desc.add_param_desc() = param_bool("Enable Feature");
*desc.add_param_desc() = param_uint32("Feature Quantity");
```
The above parameters look like this when rendered in the Spark ladder.
<img src="../paramsui.png" width="460" />
And like this when viewed in the Spark order book.
<img src="../orderbook_truncated.png" width="988" />
Each descriptor can be one of the following types:
```
// Primitive
int32
uint32
double
string
bool
// Complex
Order
Array
Struct
```
**Currently the Spark UI only renders parameters with primitive types.** The complex types can only be provided by a parent order.
### Order
This parameter type indicates that another order type parameterizes this Algo. When the Algo needs to create a child order, it can use this parameter type to create a custom order type instead of defaulting to a limit order.
For example, an Algo might be designed to wait for a specific market condition before putting in an order. Instead of placing a limit order when the condition is met, the user can specify that it should an IceBerg order. The Algo doesn't need special logic to handle different child order types.
### Array
An array parameter is a collection of the same type of parameter. If your Algo needed to behave differently depending on a table of prices, you could send that list in though an array parameter.
```cpp
*desc.add_param_desc() =
param_array("Price Points",
param_double("unused").param_type());
```
### Struct
A struct parameter is a set of named parameter types similar to the entire DynamicOrderDescriptor. The struct parameter type can be combined with the array type to handle tabular data.
```cpp
*desc.add_param_desc() =
param_array("Step Table",
param_struct("", {
param_uint32("Market Quantity"),
param_uint32("Order Quantity")
}).param_type());
```
@@ -1,69 +0,0 @@
+++
title = "Subscriptions"
weight = 20
+++
An Algo exists to observe changes in the market and respond to them. When the Algo is [launched](1/server/ref/initialization/#launch-launch-attached) it uses IAlgoServices to subscribe to the events it needs to operate. Each subscribe call is paired with a matching unsubscribe call, which takes the same argument to unsubscribe.
# Book
Subscribe to book updates for the specified security call use subscribe_book and unsubscribe book.
```cpp
// Subscribe to book updates for the specified security
void IAlgoServices::subscribe_book(SecurityKey);
void IAlgoServices::unsubscribe_book(SecurityKey);
// You implement
virtual void on_book(SecurityKey, Book const &) override;
```
Get the `SecurityKey` of the current security using:
```cpp
services.subscribe_book(SecurityKey(algo_services().security().id()));
```
If your Algo needs to subscribe to other securities, their keys must be passed in as parameters.
To get the details of a security use
```cpp
api::Security const* IBeforeLaunchAlgoServices::lookup_security(SecurityKey k) const = 0;
```
# Timer
To handle time-based logic, an Algo can subscribe to a common timer event that is invoked once every 10 milliseconds. Use the TimeStamp class from `bts_chrono.h` to efficiently handle time calculations.
```cpp
// Subscribe to a periodic 10ms timer
void IAlgoServices::subscribe_timer();
// You implement
virtual void on_timer() override;
```
# Ticker
The status callback is called when the market for this security opens, closes, or has some other state transition.
```cpp
// Subscribe to trade ticker
void IAlgoServices::subscribe_ticker(SecurityKey);
// You implement
void on_ticker(SecurityKey, TradeVector const&) override;
```
# Trading Status
The status callback is called when the market for this security opens, closes, or has some other state transition.
```cpp
// Subscribe to security trading status
void IAlgoServices::subscribe_status(SecurityKey);
// You implement
virtual void on_status(SecurityKey, co2::TradingStatus) override;
```
# Child Orders
When an Algo launches a child order, it is subscribed to the changes on that child automatically. If the Algo unsubscribes from those changes, it can re-subscribe using this method.
```cpp
// Subscribe to child order updates for the specified child order.
void IAlgoServices::subscribe_child_change(OrderKey);
// You implement
virtual void on_child_change(OrderKey, ChildState const &) override;
```
-6
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+++
title="Samples"
sort_by="weight"
weight = 3
+++
-354
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+++
title = "Join"
weight = 10
+++
Join starts working N ticks away from the market (usually) and then watches for the opposite inside to become same side inside market; if there is then enough size on that market, it will join.
<div class="info">
<i class="fa fa-lightbulb-o fa-fw" aria-hidden="true"></i>
This sample is part of the Server SDK examples included in the <a href="/server/getting-started/download/">spark_sdk.zip download</a>.
</div>
```cpp
#include "spark/lib/config/config.h"
#include "spark/lib/config/protos/system.pb.h"
#include "spark/lib/domain_model/Security.h"
#include "spark/lib/orderman/orders/server/IAlgoOrder.h"
#include "spark/lib/orderman/orders/server/IAlgoServices.h"
#include "spark/lib/plugin/SparkServices.h"
#include "spark/lib/orderman/order_factory/IOrderFactory.h"
#include "spark/lib/orderman/orderman_utils/Book.h"
#include "spark/lib/orderman/orderman_utils/orderman_utils.h"
#include "spark/lib/utils/PBUtils.h"
using namespace bts::api::orderman;
using namespace bts::orderman;
namespace bts {
namespace order_example {
// Join starts working N ticks away from the market (usually) and then
// watches for the opposite inside to become same side inside market;
// if there is then enough size on that market, it will join.
class DynamicJoin : public IAlgoOrder {
public:
DynamicJoin();
~DynamicJoin();
OrderOpResult do_before_launch(IBeforeLaunchAlgoServices &) override;
void do_launch(IAlgoServices &) override;
void do_launch_attached(IAlgoServices &, OrderKey, ChildState) override;
void do_update(api::orderman::Update const &) override;
void on_book(SecurityKey, Book const &) override;
void on_child_change(OrderKey, ChildState const &) override;
private:
enum class Status;
struct PImpl;
std::unique_ptr<PImpl> me;
IAlgoServices &algo_services() const;
void try_to_join();
};
// The three stages our algo goes through. We start by waiting to
// observe the book for our security (WAITING_FOR_MD). Once we have a
// book we use it to derive our target price and we continue to
// monitor the book to see if we should join the market
// (WAITING_TO_JOIN). Once the size and price constraints are met we
// jump to the target price (JOINED). We remain in the JOINED state
// until our order is filled or canceled.
enum class DynamicJoin::Status { WAITING_FOR_MD, WAITING_TO_JOIN, JOINED };
// All state information needed for this algo
struct DynamicJoin::PImpl {
IAlgoServices *algo_services;
Quantity min_quantity_to_join;
Status status = Status::WAITING_FOR_MD;
OrderKey child_key = null_order_key();
ChildTemplate *child_template = nullptr;
Book book_at_inception;
Book last_book;
};
DynamicJoin::DynamicJoin() : me(new PImpl()) {}
DynamicJoin::~DynamicJoin() {}
IAlgoServices &DynamicJoin::algo_services() const { return *me->algo_services; }
// This is called outside of the latency sensitive path
// once. Expensive initialization should be done here, rather than
// in do_launch()
OrderOpResult DynamicJoin::do_before_launch(IBeforeLaunchAlgoServices &serv) {
auto &def = serv.definition();
bts_assert(def.has_custom_def());
bts_assert(def.custom_def().has_dynamic());
// Validate our parameters, returning an error if we find a
// problem. If an error is returned here the order will be
// abandoned.
auto &params = def.custom_def().dynamic().order_params();
auto mqi = get_if<uint32_t>(params, "Min Quantity");
if (!mqi || mqi.value() == 0) {
return OrderOpResult{
ORDER_ERROR_INVALID_ORDER_DEFINITON,
"Min Quantity parameter must be defined and non zero"};
}
me->min_quantity_to_join = Quantity(mqi.value());
if (!serv.is_attaching()) {
// If we are not attaching, create a child template so we can
// quickly launch our child when the time comes.
// We will be sending a limit order with the same side,
// security, trader, account, etc, as this algo order, so just
// copy our definition to the child definition to start with.
auto child_def = def;
// Now add a limit order component to mark our child as a limit
// order. Limit orders do not require any extra parameters
// beyond those already inherited from this algo order
// (i.e. beyond what we obtained through serv.definition()) so
// we can just use a default constructed LimitOrderDefinition.
*child_def.mutable_custom_def()->mutable_limit() = LimitOrderDefinition{};
// Now just build the child template and cache it for future use
me->child_template = &(serv.make_child_template(child_def));
} else {
// If we are attaching to an existing order then we do not need
// to spawn a new child, so there is no need to setup a child
// template
}
// All is good, return a default constructed OrderOpResult which
// indicates success.
return {};
}
// Called in the latency sensitive path, once, when the algo is first
// launched.
void DynamicJoin::do_launch(IAlgoServices &services) {
// Cache our algo services
me->algo_services = &services;
LOG(OrderMan, Diag, "Lauching DynamicJoin k: {} ",
algo_services().order_key().value());
// Launch our child order
me->child_key =
services.launch_child(*me->child_template, algo_services().price(),
algo_services().quantity());
// Subscribe to market data
services.subscribe_book(SecurityKey(algo_services().security().id()));
}
// Called in the latency sensitive path, once, when the algo is first
// launched. In this case the algo is provided with an existing order
// it is now responsible for managing.
void DynamicJoin::do_launch_attached(IAlgoServices &services,
OrderKey attached_order, ChildState st) {
// The order was launched and attached to an existing order, with
// key 'attached_order' and current state 'st'
// Cache our algo services
me->algo_services = &services;
LOG(OrderMan, Diag,
"Lauching DynamicJoin k: {} Attached to existing order: {}",
algo_services().order_key().value(), attached_order.value());
// Cache the key of the attached order we will be managing
me->child_key = attached_order;
// Subscribe to market data
services.subscribe_book(SecurityKey(services.security().id()));
// Simulate a child change so we can update our own state to
// reflect that of the child order we attached to. From this point
// forward there is no distinction between an algo instance that
// spawned a new child order and one that attached to an existing
// order.
on_child_change(attached_order, st);
}
// Called when a human (or a supervising algo) updates a parameter for
// this algo. The implementation validates the update and depending on
// the validation outcome either applies the update or terminates the
// algo.
void DynamicJoin::do_update(api::orderman::Update const &update) {
LOG(OrderMan, Diag, "DynamicJoin k: {} receiving update: {}",
algo_services().order_key().value(), utils::pb::to_string(update));
// Validate update
if (update.quantity() == 0) {
// An invalid update has been detected so we terminate the
// algo, signaling an error. Any child orders launched by
// this algo will also be terminated.
algo_services().terminate_error("Invalid update");
return;
}
// Updates have two parts, a standard part consisting of price and
// size and present in all updates, and an optional part that is
// specific to the algo in question. Below we check for the
// existance of this optional part and validate if present.
bool has_new_min_qty = false;
if (update.has_custom()) {
auto &params = update.custom().dynamic().order_params();
auto mqi = params.find("Min Quantity");
if (mqi == params.end() || mqi->second.as_uint32() == 0) {
algo_services().terminate_error(
"Minimum quantity to join must be greater than 0");
return;
}
has_new_min_qty = true;
me->min_quantity_to_join = Quantity(mqi->second.as_uint32());
}
// Update is good, forward it to our child
Update child_update;
child_update.set_price(update.price());
child_update.set_quantity(update.quantity());
algo_services().update_child(me->child_key, child_update);
// Try to join again if conditions changed
if (me->status == Status::WAITING_TO_JOIN && has_new_min_qty)
try_to_join();
}
// Called when the book for the specified security has changed
void DynamicJoin::on_book(SecurityKey, Book const &b) {
// Cache the book, so we can reffer to it in the event of a
// parameter change that might allow us to join
me->last_book = b;
LOG(OrderMan, Diag, "DynamicJoin order {} on book. BID: {}@{} ASK: {}@{}",
algo_services().order_key().value(), b.side(api::SIDE_BUY)[0].size(),
b.side(api::SIDE_BUY)[0].price(), b.side(api::SIDE_SELL)[0].size(),
b.side(api::SIDE_SELL)[0].price());
switch (me->status) {
case Status::WAITING_FOR_MD: {
auto other_side =
securities::other_side(algo_services().definition().side());
auto &other_side_top = me->last_book.side(other_side)[0];
if (other_side_top.size() > 0) {
// First time we get the opposite side market, we will use
// this price as the target price for the join
me->status = Status::WAITING_TO_JOIN;
me->book_at_inception = b;
LOG(OrderMan, Diag,
"JoinOrder order {} receiving first book: {} Target: {}",
algo_services().order_key().value(),
me->min_quantity_to_join.value(), other_side_top.price());
try_to_join();
}
} break;
case Status::JOINED:
// Nothing to do at this point
break;
case Status::WAITING_TO_JOIN:
// Check if we reached the target and join if so
try_to_join();
break;
}
}
// Given the current book, our target price and our min quantity
// parameter, join if appropriate
void DynamicJoin::try_to_join() {
bts_assert(me->status == Status::WAITING_TO_JOIN);
auto my_side = algo_services().definition().side();
auto other_side = securities::other_side(my_side);
auto &my_side_psz = me->last_book.side(my_side)[0];
auto &opposite_at_inception_psz = me->book_at_inception.side(other_side)[0];
if (my_side_psz.size() &&
my_side_psz.size() >= me->min_quantity_to_join.value() &&
securities::is_equal_or_better(
my_side, Price(my_side_psz.price()),
Price(opposite_at_inception_psz.price()))) {
// Time to update our child to join the market
Update child_update;
child_update.set_price(my_side_psz.price());
child_update.set_quantity(algo_services().quantity().value());
algo_services().update_child(me->child_key, child_update);
me->status = Status::JOINED;
LOG(OrderMan, Diag, "DynamicJoin order {} joined: {}@{}",
algo_services().order_key().value(),
algo_services().quantity().value(), my_side_psz.price());
} else {
LOG(OrderMan, Diag,
"JoinOrder order {} still waiting to join. Order: {}@{} Top of "
"the book: {}@{} Target: {}@{}",
algo_services().order_key().value(),
algo_services().quantity().value(), algo_services().price().value(),
my_side_psz.size(), my_side_psz.price(),
me->min_quantity_to_join.value(), opposite_at_inception_psz.price());
}
}
// Our child reported a change:
void DynamicJoin::on_child_change(OrderKey, ChildState const &st) {
// Our fill quantity and price is always a reflection of our
// child's state
algo_services().update_fill_state(st.total_fills, st.last_price);
switch (st.status) {
case ChildStatus::WORKING:
// Child order is still working, nothing to do
return;
case ChildStatus::COMPLETED:
// Child order completed, we should also complete
algo_services().complete();
return;
case ChildStatus::CANCELED:
// Child order unexpectedly canceled, signal an error and
// terminate
algo_services().terminate_error("Unexpected child cancel");
return;
}
}
// This is called by the spark daemon at startup. In this call we
// describe our algo's parameters and register a factory function to
// create an instance of the algo.
extern "C" void init_spark_plugin(bts::SparkServices &serv) {
using namespace bts;
DynamicOrderDescriptor join_desc;
// Start by naming our order type
join_desc.set_dynamic_order_type("dyn join");
// Now add a single unsigned int parameter, Min Quantity, that will
// determine the minimum quantity that must exist in the book in
// order for us to join the market.
*join_desc.add_param_desc() = param_uint32("Min Quantity");
// Associate the descriptor with a builder function and register
// that with the Spark server.
auto result =
serv.register_dynamic_algo_order(
join_desc, []() { return std::make_unique<DynamicJoin>(); });
if (result != bts::AlgoRegistrationResult::SUCCESS) {
// The join_desc has errors
// Check the error log for more details
}
}
} // namespace order_example
} // namespace bts
```
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+++
title = "Template"
weight = 5
+++
A mostly blank Algo template that can be used as a jump-start for developing a new Algo.
<div class="info">
<i class="fa fa-lightbulb-o fa-fw" aria-hidden="true"></i>
This sample is part of the Server SDK examples included in the <a href="/server/getting-started/download/">spark_sdk.zip download</a>.
</div>
```cpp
#include "spark/lib/config/config.h"
#include "spark/lib/config/protos/system.pb.h"
#include "spark/lib/domain_model/Security.h"
#include "spark/lib/orderman/orders/algo/IAlgoOrder.h"
#include "spark/lib/orderman/orders/algo/IAlgoServices.h"
#include "spark/lib/plugin/SparkServices.h"
#include "spark/lib/orderman/order_factory/IOrderFactory.h"
#include "spark/lib/orderman/orderman_utils/Book.h"
#include "spark/lib/orderman/orderman_utils/orderman_utils.h"
#include "spark/lib/utils/PBUtils.h"
using namespace bts::api::orderman;
using namespace bts::orderman;
namespace bts {
namespace order_example {
// MyAlgo is a blank IAlgoOrder which you can copy when starting a new Algo
class MyAlgo : public IAlgoOrder {
public:
MyAlgo();
~MyAlgo();
OrderOpResult do_before_launch(IBeforeLaunchAlgoServices &) override;
void do_launch(IAlgoServices &) override;
void do_launch_attached(IAlgoServices &, OrderKey, ChildState) override;
void do_update(api::orderman::Update const &) override;
void on_book(SecurityKey, Book const &) override;
void on_child_change(OrderKey, ChildState const &) override;
private:
IAlgoServices* algo_services;
ChildTemplate *child_template = nullptr;
OrderKey child_key = null_order_key();
};
MyAlgo::MyAlgo() : algo_services(nullptr) {}
MyAlgo::~MyAlgo() {}
// This is called outside of the latency sensitive path.
// Expensive initialization should be done here, rather than in do_launch()
OrderOpResult MyAlgo::do_before_launch(IBeforeLaunchAlgoServices &serv) {
LOG(Sdk,Info, "MyAlgo: do_before_launch");
// If we are not attaching, create a child template so we can
// quickly launch our child when the time comes.
if (!serv.is_attaching()) {
// We will be sending a limit order with the same side,
// security, trader, account, etc, as this algo order, so just
// copy our definition to the child definition to start with.
auto child_def = serv.definition();
// Now add a limit order component to mark our child as a limit
// order. Limit orders do not require any extra parameters
// beyond those already inherited from this algo order
// (i.e. beyond what we obtained through serv.definition()) so
// we can just use a default constructed LimitOrderDefinition.
*child_def.mutable_custom_def()->mutable_limit() = LimitOrderDefinition{};
// Now just build the child template and cache it for future use
child_template = &(serv.make_child_template(child_def));
}
// Default constructed result is successful
return {};
}
// Called in the latency sensitive path, once, when the algo is first launched.
// If the Algo is attaching to an existing order do_launch_attached is called instead.
void MyAlgo::do_launch(IAlgoServices &services) {
algo_services = &services;
// Subscribe to book updates for this security
services.subscribe_book(SecurityKey(services.security().id()));
// Launch a child limit order
child_key =
services.launch_child(*child_template, services.price(), services.quantity());
LOG(Sdk,Info, "MyAlgo: do_launch");
}
// Called in the latency sensitive path, once, when the algo is first
// launched. In this case the algo is provided with an existing order
// it is now responsible for managing.
void MyAlgo::do_launch_attached(IAlgoServices &services,
OrderKey attached_order, ChildState st) {
algo_services = &services;
// Subscribe to book updates for this security
services.subscribe_book(SecurityKey(services.security().id()));
// Keep track of the child key
child_key = attached_order;
LOG(Sdk,Info, "MyAlgo: do_launch_attached");
}
// Called when a human (or a supervising algo) updates a parameter for
// this algo. The implementation validates the update and depending on
// the validation outcome either applies the update or terminates the algo.
void MyAlgo::do_update(api::orderman::Update const &update) {
}
// Called when the book for the specified security has changed
void MyAlgo::on_book(SecurityKey, Book const &b) {
}
// Our child reported a change
void MyAlgo::on_child_change(OrderKey, ChildState const &st) {
}
// This is called by the spark daemon at startup. In this call we
// describe our algo's parameters and register a factory function to
// create an instance of the algo.
extern "C" void init_spark_plugin(bts::SparkServices &serv) {
using namespace bts;
DynamicOrderDescriptor desc;
// Start by naming our order type
desc.set_dynamic_order_type("My Algo");
*desc.add_param_desc() = param_bool("Enable Feature");
*desc.add_param_desc() = param_uint32("Feature Quantity");
// Associate the descriptor with a builder function and register
// that with the Spark server.
auto result =
serv.register_dynamic_algo_order(
desc, []() { return std::make_unique<MyAlgo>(); });
if (result != bts::AlgoRegistrationResult::SUCCESS) {
// The desc has errors
// Check the error log (/sparkdata/data/logging/log) for more details
}
}
} // namespace order_example
} // namespace bts
```
-9
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#/bin/bash
# ../../externals/linux/bin/zola/zola build
zola.exe build
rsync -avzL public/ bts@api.bluetradesys.com:/data/sdk/public/
rm -rf ./public/
-97
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html, body {
font-size: 16px;
height: 100%;
}
body {
font-family: "Source Sans Pro", "Open Sans","Helvetica Neue",Helvetica,Arial,sans-serif;
line-height: 1.6;
// from http://www.heropatterns.com
background-color: #0072a2;
background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='100' height='100' viewBox='0 0 100 100'%3E%3Cg fill-rule='evenodd'%3E%3Cg fill='%234b4b4b' fill-opacity='0.4'%3E%3Cpath opacity='.5' d='M96 95h4v1h-4v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9zm-1 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-9-10h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm9-10v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-9-10h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm9-10v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-9-10h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm9-10v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-9-10h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9z'/%3E%3Cpath d='M6 5V0H5v5H0v1h5v94h1V6h94V5H6z'/%3E%3C/g%3E%3C/g%3E%3C/svg%3E");
color: $foreground;
// for sticky footer
display: flex;
flex-direction: column;
min-height: 100vh;
}
a {
color: $link-color;
text-decoration: none;
cursor: pointer;
border-bottom: 1px solid rgba(0, 124, 188, 0.25);
&:hover {
border-bottom: 1px solid $link-color;
}
&:visited {
color: $link-color;
}
// totally taken from stripe
&.button {
outline: none;
white-space: nowrap;
display: inline-block;
height: 40px;
line-height: 40px;
padding: 0 14px;
box-shadow: 0 4px 6px rgba(50, 50, 93, 0.11), 0 1px 3px rgba(0, 0, 0, 0.08);
background: #fff;
border-radius: 4px;
font-size: 15px;
font-weight: 600;
text-transform: uppercase;
letter-spacing: .025em;
color: #191919;
text-decoration: none;
transition: all .15s ease;
border-bottom: none;
&:hover {
transform: translateY(-1px);
text-decoration: none;
box-shadow: 0 7px 14px rgba(50, 50, 93, 0.1), 0 3px 6px rgba(0, 0, 0, 0.08);
}
&:active {
background-color: #f6f9fc;
transform: translateY(1px);
}
}
&.white {
color: white;
border-bottom-color: rgba(255, 255, 255, 0.25);
&:hover {
border-bottom-color: white;
}
&:visited {
color: white;
}
}
}
pre {
padding: 1rem;
overflow: auto;
}
p code, li code {
// color: #e6e1dc;
// background-color: #383838;
color: #191919;
background-color: #f5f5f5;
white-space: pre-wrap;
padding: 3px;
border-radius: 3px;
font-size: 0.85rem;
font-family: monospace;
// box-shadow: 0 1px 3px rgba(0,0,0,.1), 0 1px 1px rgba(0,0,0,.1), 0 2px 1px -1px rgba(0,0,0,.12);
}
-96
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@@ -1,96 +0,0 @@
.documentation {
padding: 3rem;
display: flex;
&__sidebar {
margin-right: 2rem;
ul {
padding-left: 0;
list-style: none;
}
> ul {
> li {
margin-bottom: 1rem;
}
.documentation__sidebar__title {
font-size: 1.25rem;
font-weight: bold;
}
ul {
margin-top: 0.25rem;
li {
border-left: 1px solid $background;
padding-left: 0.75rem;
padding-top: 0.25rem;
padding-bottom: 0.25rem;
}
li.active a {
font-weight: bold;
border-bottom: 1px solid $link-color;
}
}
}
}
&__content {
width: 60%;
// Same as the anchor absolute left to not overlap
margin-left: 2rem;
h1, h2, h3, h4, h5, h6 {
.zola-anchor {
font-size: 1.25rem;
visibility: hidden;
margin-left: -2rem;
text-decoration: none;
border-bottom-color: transparent;
cursor: pointer;
}
&:hover {
.zola-anchor {
visibility: visible;
}
}
}
blockquote {
border-left: 10px solid black;
padding: 0.25rem 0.5rem;
margin-left: 0;
font-style: italic;
}
}
iframe {
width: 100%;
min-height: 400px;
}
}
@media only screen and (max-width: 1000px) {
.documentation {
flex-direction: column;
padding: 2rem;
&__content {
width: 100%;
margin-left: 0;
}
&__sidebar {
border-top: 1px solid $background;
order: 1;
margin-right: 0;
margin-top: 1rem;
}
}
}
-33
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@@ -1,33 +0,0 @@
header {
.header__logo {
border-bottom: none;
}
nav a {
margin-right: 2rem;
}
.header__logo {
font-size: 2rem;
font-weight: bold;
&:hover {
text-decoration: none;
}
}
}
@media only screen and (max-width: 1000px) {
header {
padding: 1rem 0;
nav {
text-align: center;
}
.header__logo {
// to force menu links to be on a line below
display: block;
}
}
}
-71
View File
@@ -1,71 +0,0 @@
.inverted-colours {
background: $foreground;
color: $background;
}
.hero {
width: 60%;
margin: 0 auto;
margin-top: 2rem;
margin-bottom: 4rem;
text-align: center;
&__tagline {
margin-bottom: 2rem;
}
}
.disabled {
opacity: 0.5;
}
.selling-points {
padding: 3rem;
&__content {
display: flex;
flex-wrap: wrap;
}
}
.selling-point {
// 2 selling points per row on desktop
width: 50%;
padding: 2rem;
padding-top: 1rem;
}
.selling-header {
width: 100%;
padding: 1rem;
padding-top: 0rem;
display: flex;
align-items: center;
justify-content: center;
img {
align-self: center;
max-width: 70%;
}
}
// and 1 on mobile
@media only screen and (max-width: 1000px) {
.hero {
width: 90%;
margin-top: 2rem;
margin-bottom: 4rem;
}
.selling-points {
padding: 2rem;
}
.selling-point {
width: 100%;
padding: 1rem;
h2 {
text-align: center;
}
}
}
-43
View File
@@ -1,43 +0,0 @@
header {
padding: 2rem 3rem;
}
.container {
max-width: 1000px;
margin: 0 auto;
}
@media only screen and (max-width: 1000px) {
.container {
max-width: 90%;
}
}
.content {
flex-grow: 1;
&--reversed {
background: $foreground;
color: $background;
}
}
.linux {
padding: 25px 15px;
background: #eff0f1;
border-radius: 5px;
border: 1px solid #0072a2;
}
.info {
padding: 25px 15px;
background: #ffffe0;
border-radius: 5px;
border: 1px solid #383838;
}
footer {
text-align: center;
padding: 2rem 3rem;
}
-447
View File
@@ -1,447 +0,0 @@
/*! normalize.css v7.0.0 | MIT License | github.com/necolas/normalize.css */
/* Document
========================================================================== */
/**
* 1. Correct the line height in all browsers.
* 2. Prevent adjustments of font size after orientation changes in
* IE on Windows Phone and in iOS.
*/
html {
line-height: 1.15; /* 1 */
-ms-text-size-adjust: 100%; /* 2 */
-webkit-text-size-adjust: 100%; /* 2 */
}
/* Sections
========================================================================== */
/**
* Remove the margin in all browsers (opinionated).
*/
body {
margin: 0;
}
/**
* Add the correct display in IE 9-.
*/
article,
aside,
footer,
header,
nav,
section {
display: block;
}
/**
* Correct the font size and margin on `h1` elements within `section` and
* `article` contexts in Chrome, Firefox, and Safari.
*/
h1 {
font-size: 2em;
margin: 0.67em 0;
}
/* Grouping content
========================================================================== */
/**
* Add the correct display in IE 9-.
* 1. Add the correct display in IE.
*/
figcaption,
figure,
main { /* 1 */
display: block;
}
/**
* Add the correct margin in IE 8.
*/
figure {
margin: 1em 40px;
}
/**
* 1. Add the correct box sizing in Firefox.
* 2. Show the overflow in Edge and IE.
*/
hr {
box-sizing: content-box; /* 1 */
height: 0; /* 1 */
overflow: visible; /* 2 */
}
/**
* 1. Correct the inheritance and scaling of font size in all browsers.
* 2. Correct the odd `em` font sizing in all browsers.
*/
pre {
font-family: monospace, monospace; /* 1 */
font-size: 1em; /* 2 */
}
/* Text-level semantics
========================================================================== */
/**
* 1. Remove the gray background on active links in IE 10.
* 2. Remove gaps in links underline in iOS 8+ and Safari 8+.
*/
a {
background-color: transparent; /* 1 */
-webkit-text-decoration-skip: objects; /* 2 */
}
/**
* 1. Remove the bottom border in Chrome 57- and Firefox 39-.
* 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.
*/
abbr[title] {
border-bottom: none; /* 1 */
text-decoration: underline; /* 2 */
text-decoration: underline dotted; /* 2 */
}
/**
* Prevent the duplicate application of `bolder` by the next rule in Safari 6.
*/
b,
strong {
font-weight: inherit;
}
/**
* Add the correct font weight in Chrome, Edge, and Safari.
*/
b,
strong {
font-weight: bolder;
}
/**
* 1. Correct the inheritance and scaling of font size in all browsers.
* 2. Correct the odd `em` font sizing in all browsers.
*/
code,
kbd,
samp {
font-family: monospace, monospace; /* 1 */
font-size: 1em; /* 2 */
}
/**
* Add the correct font style in Android 4.3-.
*/
dfn {
font-style: italic;
}
/**
* Add the correct background and color in IE 9-.
*/
mark {
background-color: #ff0;
color: #000;
}
/**
* Add the correct font size in all browsers.
*/
small {
font-size: 80%;
}
/**
* Prevent `sub` and `sup` elements from affecting the line height in
* all browsers.
*/
sub,
sup {
font-size: 75%;
line-height: 0;
position: relative;
vertical-align: baseline;
}
sub {
bottom: -0.25em;
}
sup {
top: -0.5em;
}
/* Embedded content
========================================================================== */
/**
* Add the correct display in IE 9-.
*/
audio,
video {
display: inline-block;
}
/**
* Add the correct display in iOS 4-7.
*/
audio:not([controls]) {
display: none;
height: 0;
}
/**
* Remove the border on images inside links in IE 10-.
*/
img {
border-style: none;
}
/**
* Hide the overflow in IE.
*/
svg:not(:root) {
overflow: hidden;
}
/* Forms
========================================================================== */
/**
* 1. Change the font styles in all browsers (opinionated).
* 2. Remove the margin in Firefox and Safari.
*/
button,
input,
optgroup,
select,
textarea {
font-family: sans-serif; /* 1 */
font-size: 100%; /* 1 */
line-height: 1.15; /* 1 */
margin: 0; /* 2 */
}
/**
* Show the overflow in IE.
* 1. Show the overflow in Edge.
*/
button,
input { /* 1 */
overflow: visible;
}
/**
* Remove the inheritance of text transform in Edge, Firefox, and IE.
* 1. Remove the inheritance of text transform in Firefox.
*/
button,
select { /* 1 */
text-transform: none;
}
/**
* 1. Prevent a WebKit bug where (2) destroys native `audio` and `video`
* controls in Android 4.
* 2. Correct the inability to style clickable types in iOS and Safari.
*/
button,
html [type="button"], /* 1 */
[type="reset"],
[type="submit"] {
-webkit-appearance: button; /* 2 */
}
/**
* Remove the inner border and padding in Firefox.
*/
button::-moz-focus-inner,
[type="button"]::-moz-focus-inner,
[type="reset"]::-moz-focus-inner,
[type="submit"]::-moz-focus-inner {
border-style: none;
padding: 0;
}
/**
* Restore the focus styles unset by the previous rule.
*/
button:-moz-focusring,
[type="button"]:-moz-focusring,
[type="reset"]:-moz-focusring,
[type="submit"]:-moz-focusring {
outline: 1px dotted ButtonText;
}
/**
* Correct the padding in Firefox.
*/
fieldset {
padding: 0.35em 0.75em 0.625em;
}
/**
* 1. Correct the text wrapping in Edge and IE.
* 2. Correct the color inheritance from `fieldset` elements in IE.
* 3. Remove the padding so developers are not caught out when they zero out
* `fieldset` elements in all browsers.
*/
legend {
box-sizing: border-box; /* 1 */
color: inherit; /* 2 */
display: table; /* 1 */
max-width: 100%; /* 1 */
padding: 0; /* 3 */
white-space: normal; /* 1 */
}
/**
* 1. Add the correct display in IE 9-.
* 2. Add the correct vertical alignment in Chrome, Firefox, and Opera.
*/
progress {
display: inline-block; /* 1 */
vertical-align: baseline; /* 2 */
}
/**
* Remove the default vertical scrollbar in IE.
*/
textarea {
overflow: auto;
}
/**
* 1. Add the correct box sizing in IE 10-.
* 2. Remove the padding in IE 10-.
*/
[type="checkbox"],
[type="radio"] {
box-sizing: border-box; /* 1 */
padding: 0; /* 2 */
}
/**
* Correct the cursor style of increment and decrement buttons in Chrome.
*/
[type="number"]::-webkit-inner-spin-button,
[type="number"]::-webkit-outer-spin-button {
height: auto;
}
/**
* 1. Correct the odd appearance in Chrome and Safari.
* 2. Correct the outline style in Safari.
*/
[type="search"] {
-webkit-appearance: textfield; /* 1 */
outline-offset: -2px; /* 2 */
}
/**
* Remove the inner padding and cancel buttons in Chrome and Safari on macOS.
*/
[type="search"]::-webkit-search-cancel-button,
[type="search"]::-webkit-search-decoration {
-webkit-appearance: none;
}
/**
* 1. Correct the inability to style clickable types in iOS and Safari.
* 2. Change font properties to `inherit` in Safari.
*/
::-webkit-file-upload-button {
-webkit-appearance: button; /* 1 */
font: inherit; /* 2 */
}
/* Interactive
========================================================================== */
/*
* Add the correct display in IE 9-.
* 1. Add the correct display in Edge, IE, and Firefox.
*/
details, /* 1 */
menu {
display: block;
}
/*
* Add the correct display in all browsers.
*/
summary {
display: list-item;
}
/* Scripting
========================================================================== */
/**
* Add the correct display in IE 9-.
*/
canvas {
display: inline-block;
}
/**
* Add the correct display in IE.
*/
template {
display: none;
}
/* Hidden
========================================================================== */
/**
* Add the correct display in IE 10-.
*/
[hidden] {
display: none;
}
-47
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@@ -1,47 +0,0 @@
.search-container {
display: inline-block;
position: relative;
width: 300px;
input {
width: 100%;
padding: 0.5rem;
}
}
.search-results {
display: none;
position: absolute;
background: white;
color: black;
padding: 1rem;
box-shadow: 2px 2px 2px 0 rgba(0, 0, 0, 0.5);
max-height: 500px;
overflow: auto;
width: 150%;
right: 0;
&__items {
list-style: none;
}
li {
margin-top: 1rem;
border-bottom: 1px solid #ccc;
font-size: 0.9rem;
&:first-of-type {
margin-top: 0;
}
}
&__item {
margin-bottom: 1rem;
a {
font-size: 1.2rem;
display: inline-block;
margin-bottom: 0.5rem;
}
}
}
-79
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@@ -1,79 +0,0 @@
.themes-container {
padding: 3rem;
width: 80%;
margin: 0 auto;
img {
max-width: 100%;
}
}
@media only screen and (max-width: 1000px) {
.themes-container {
width: 100%;
margin: 0 1rem;
}
}
.themes {
display: flex;
flex-wrap: wrap;
justify-content: space-between;
.theme {
width: 45%;
text-decoration: none;
cursor: pointer;
margin-bottom: 2rem;
border-bottom: none;
box-shadow: 0 1px 2px rgba(0, 0, 0, 0.4);
padding: 10px;
img {
width: 100%;
height: 90%;
}
span {
display: block;
text-align: center;
font-size: 1.1rem;
}
}
}
.theme-info {
display: flex;
align-items: flex-start;
.thumb {
box-shadow: 0 1px 2px rgba(0, 0, 0, 0.07);
width: 400px;
margin-right: 2rem;
}
h1, p {
margin: 0;
}
padding: 1rem;
}
@media only screen and (max-width: 1000px) {
.themes .theme {
width: 100%;
}
}
@media only screen and (max-width: 1000px) {
.theme-info {
flex-direction: column;
align-items: center;
img {
margin-bottom: 1rem;
}
}
}
-19
View File
@@ -1,19 +0,0 @@
@charset "utf-8";
@import "normalize";
*, *:before, *:after {
box-sizing: border-box;
}
$background: #191919;
$foreground: white;
$link-color: #007CBC;
@import "base";
@import "layout";
@import "header";
@import "index";
@import "docs";
@import "themes";
@import "search";
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-2
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@@ -1,2 +0,0 @@
<?xml version="1.0" encoding="UTF-8"?>
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3.29-2.354 7.027 0.043 3.691 1.042 5.592 2.354 6.89 1.338 1.278 3.562 2.338 7.469 2.36h63.388c15.081-7e-3 27.896 3.536 37.065 11.888 9.185 8.367 13.511 20.865 13.455 35.59 0.022 13.078-4.037 25.357-12.824 34.248-8.729 8.882-21.678 13.796-37.497 13.796-0.066 1e-3 -0.135 1e-3 -0.2 1e-3zm-96.246-14.999 96.246-4e-3c13.017-0.037 21.505-3.779 27.018-9.329 5.488-5.576 8.475-13.569 8.494-23.712-0.052-12.118-3.246-19.606-8.572-24.519-5.35-4.923-14.046-7.951-26.939-7.956h-63.388c-6.76 0.022-13.199-2.056-17.858-6.541-4.686-4.459-7.014-10.932-6.972-17.712-0.038-6.729 2.191-13.218 6.88-17.764 4.659-4.564 11.2-6.707 18.14-6.678h91.856v-9.174l-91.856 4e-3c-12.341 0.026-20.88 3.617-26.474 8.971-5.574 5.382-8.632 12.875-8.667 22.358 0.035 9.665 3.317 17.334 9.038 22.85 5.746 5.486 14.244 9.029 25.721 9.049h63.58c7.58 0 14.573 1.767 19.88 6.38 5.34 4.606 7.87 11.665 7.799 19.018 0.048 7.05-2.504 13.916-7.652 18.62-5.117 4.73-12.205 6.982-20.026 6.965l-96.246-6e-3v9.18h-2e-3z" fill="#fff"/><path d="m45.824 145.9v-138.39h101.27c6Line truncated

Before

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function debounce(func, wait) {
var timeout;
return function () {
var context = this;
var args = arguments;
clearTimeout(timeout);
timeout = setTimeout(function () {
timeout = null;
func.apply(context, args);
}, wait);
};
}
// Taken from mdbook
// The strategy is as follows:
// First, assign a value to each word in the document:
// Words that correspond to search terms (stemmer aware): 40
// Normal words: 2
// First word in a sentence: 8
// Then use a sliding window with a constant number of words and count the
// sum of the values of the words within the window. Then use the window that got the
// maximum sum. If there are multiple maximas, then get the last one.
// Enclose the terms in <b>.
function makeTeaser(body, terms) {
var TERM_WEIGHT = 40;
var NORMAL_WORD_WEIGHT = 2;
var FIRST_WORD_WEIGHT = 8;
var TEASER_MAX_WORDS = 30;
var stemmedTerms = terms.map(function (w) {
return elasticlunr.stemmer(w.toLowerCase());
});
var termFound = false;
var index = 0;
var weighted = []; // contains elements of ["word", weight, index_in_document]
// split in sentences, then words
var sentences = body.toLowerCase().split(". ");
for (var i in sentences) {
var words = sentences[i].split(" ");
var value = FIRST_WORD_WEIGHT;
for (var j in words) {
var word = words[j];
if (word.length > 0) {
for (var k in stemmedTerms) {
if (elasticlunr.stemmer(word).startsWith(stemmedTerms[k])) {
value = TERM_WEIGHT;
termFound = true;
}
}
weighted.push([word, value, index]);
value = NORMAL_WORD_WEIGHT;
}
index += word.length;
index += 1; // ' ' or '.' if last word in sentence
}
index += 1; // because we split at a two-char boundary '. '
}
if (weighted.length === 0) {
return body;
}
var windowWeights = [];
var windowSize = Math.min(weighted.length, TEASER_MAX_WORDS);
// We add a window with all the weights first
var curSum = 0;
for (var i = 0; i < windowSize; i++) {
curSum += weighted[i][1];
}
windowWeights.push(curSum);
for (var i = 0; i < weighted.length - windowSize; i++) {
curSum -= weighted[i][1];
curSum += weighted[i + windowSize][1];
windowWeights.push(curSum);
}
// If we didn't find the term, just pick the first window
var maxSumIndex = 0;
if (termFound) {
var maxFound = 0;
// backwards
for (var i = windowWeights.length - 1; i >= 0; i--) {
if (windowWeights[i] > maxFound) {
maxFound = windowWeights[i];
maxSumIndex = i;
}
}
}
var teaser = [];
var startIndex = weighted[maxSumIndex][2];
for (var i = maxSumIndex; i < maxSumIndex + windowSize; i++) {
var word = weighted[i];
if (startIndex < word[2]) {
// missing text from index to start of `word`
teaser.push(body.substring(startIndex, word[2]));
startIndex = word[2];
}
// add <em/> around search terms
if (word[1] === TERM_WEIGHT) {
teaser.push("<b>");
}
startIndex = word[2] + word[0].length;
teaser.push(body.substring(word[2], startIndex));
if (word[1] === TERM_WEIGHT) {
teaser.push("</b>");
}
}
teaser.push("…");
return teaser.join("");
}
function formatSearchResultItem(item, terms) {
return '<div class="search-results__item">'
+ `<a href="${item.ref}">${item.doc.title}</a>`
+ `<div>${makeTeaser(item.doc.body, terms)}</div>`
+ '</div>';
}
function initSearch() {
var $searchInput = document.getElementById("search");
var $searchResults = document.querySelector(".search-results");
var $searchResultsItems = document.querySelector(".search-results__items");
var MAX_ITEMS = 10;
var options = {
bool: "AND",
fields: {
title: {boost: 2},
body: {boost: 1},
}
};
var currentTerm = "";
var index = elasticlunr.Index.load(window.searchIndex);
$searchInput.addEventListener("keyup", debounce(function() {
var term = $searchInput.value.trim();
if (term === currentTerm || !index) {
return;
}
$searchResults.style.display = term === "" ? "none" : "block";
$searchResultsItems.innerHTML = "";
if (term === "") {
return;
}
var results = index.search(term, options);
if (results.length === 0) {
$searchResults.style.display = "none";
return;
}
currentTerm = term;
for (var i = 0; i < Math.min(results.length, MAX_ITEMS); i++) {
var item = document.createElement("li");
item.innerHTML = formatSearchResultItem(results[i], term.split(" "));
$searchResultsItems.appendChild(item);
}
}, 150));
}
if (document.readyState === "complete" ||
(document.readyState !== "loading" && !document.documentElement.doScroll)
) {
initSearch();
} else {
document.addEventListener("DOMContentLoaded", initSearch);
}
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@@ -1,101 +0,0 @@
<!DOCTYPE html>
<html lang="en-us">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="apple-mobile-web-app-capable" content="yes">
<link href="https://fonts.googleapis.com/css?family=Source+Sans+Pro:300,400,600" rel="stylesheet" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="description" content="{% block description %}{{ config.description }}{% endblock description %}">
<meta name="keywords" content="Futures, Options, Derivatives, Trade, Trading, Professional, options trading, futures trading, Software, API, SDK" />
<meta name="rights" content="© Blue Trading Systems" />
<meta name="author" content="{{ config.extra.author }}">
<title>{% block title %}{{ config.title }}{% endblock title %}</title>
<link rel="stylesheet" href="{{ get_url(path="site.css") }}"/>
<link rel="icon" href="{{ get_url(path="favicon.ico") }}">
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css">
<script> dataLayer = [{ 'visitorType': 'geek' }]; </script>
</head>
<body>
<header>
<nav class="{% block extra_nav_class %}container{% endblock extra_nav_class %}">
<a class="header__logo white" href="{{ config.base_url }}">
<img width="100" src="/images/logo.svg">
</a>
<a class="white" href="{{ get_url(path="@/server/_index.md") }}" class="nav-link">Server SDK</a>
<a class="white" href="{{ get_url(path="@/client/_index.md") }}" class="nav-link">Client SDK</a>
<a class="white" href="https://www.bluetradingsystems.com/bts-spark" class="nav-link">About Spark</a>
<div class="search-container">
<input id="search" type="search" placeholder="🔎 Search">
<div class="search-results">
<div class="search-results__items"></div>
</div>
</div>
</nav>
</header>
<div class="content content--reversed">
{% block content %}
<div class="hero">
<h1>Spark SDK</h1>
<p class="hero__tagline">
Spark consists of a client UI
(<a href="https://www.bluetradingsystems.com/bts-spark#ladder-algo-screen">Spark Client</a>),
a high-performance professional futures front end, connected via our proprietary protocol over TCP to our Spark Server, which in turn connects to execution venues via their native protocols.
Use the Spark SDK to extend Spark Server with your custom Algos, then use the Client SDK to launch and control them.
</p>
</div>
<div class="inverted-colours selling-points">
<div class="selling-points__content container">
<div class="selling-header">
<img src="/images/API.png" width="100%" />
</div>
<div class="selling-point">
<h2>
Server SDK
<i class="fa fa-tachometer" aria-hidden="true"></i>
</h2>
<p>
Leverage the ultra-low latency Spark C++ API to develop and run your custom Algo. Have your first sub-10 microsecond trading algorithm running in under an hour.
</p>
<a href="{{ get_url(path="@/server/_index.md") }}" class="button">Get started</a>
</div>
<div class="selling-point">
<h2>
Client SDK
<i class="fa fa-gamepad" aria-hidden="true"></i>
</h2>
<p>
The Spark client SDK allows you to integrate spark with your existing ecosystem. The Spark Client is built entirely on this simple, powerful API.
</p>
<a href="{{ get_url(path="@/client/_index.md") }}" class="button">Get started</a>
</div>
</div>
</div>
{% endblock content %}
</div>
<footer>
© Blue Trading Systems
</footer>
<script>
if (location.hostname == "api.bluetradesys.com") {
(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':
new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],
j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);
})(window,document,'script','dataLayer','GTM-56FHG8R');
}
</script>
<script type="text/javascript" src="{{ get_url(path="elasticlunr.min.js") }}"></script>
<script type="text/javascript" src="{{ get_url(path="search_index.en.js") }}"></script>
<script type="text/javascript" src="{{ get_url(path="search.js") }}"></script>
</body>
</html>
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{% extends "index.html" %}
{# this has access to the "page" variable but documentation.html does not #}
{% block title %}{{ page.title }} | {{ super() }} {% endblock title %}
{% block next_link %}
{% endblock next_link %}
{% block content %}
{% set section = get_section(path=page.ancestors[1]) %}
{#
{#<div>{{ section.title }} </div>#}
<div class="documentation">
<aside class="documentation__sidebar">
<ul>
{% for p in section.subsections %}
{% set subsection = get_section(path=p) %}
<li>
<span class="documentation__sidebar__title">{{ subsection.title }}</span>
<ul>
{% for page in subsection.pages %}
<li class="{% if current_path == page.path %}active{% endif %}">
<a href="{{page.permalink}}">{{page.title}}</a>
</li>
{% endfor %}
</ul>
</li>
{% endfor %}
</ul>
</aside>
<div class="documentation__content">
<h1>{{page.title}}</h1>
{{page.content | safe}}
{# next/pre links #}
<p>
{% if page.lighter %}
<a href="{{ page.lighter.permalink }}">
<i class="fa fa-chevron-left fa-fw" aria-hidden="true"></i>
Previous
</a>
{% endif %}
&nbsp;
{% if page.heavier %}
<a href="{{ page.heavier.permalink }}">
Next
<i class="fa fa-chevron-right fa-fw" aria-hidden="true"></i>
</a>
{% endif %}
</p>
</div>
</div>
{% endblock content %}
@@ -1,15 +0,0 @@
<pre
{% if background %}
style="background-color:{{background}};"
{% else %}
style="background-color:#383838;"
{% endif %}
>
<span
{% if color %}
style="color:{{color}};"
{% else %}
style="color:#e6e1dc;"
{% endif %}
><a onclick="navigator.clipboard.writeText('{{body}}')"><i class="fa fa-clipboard fa-underline" style="color: white; text-decoration: none;"></i></a> {{body}}</span>
</pre>
@@ -1,7 +0,0 @@
{% for asset in page.assets -%}
{%- if asset is matching("[.](jpg|png)$") -%}
<a href="{{ get_url(path=asset) | safe }}" target="_blank">
<img src="{{ resize_image(path=asset, width=240, height=180, op="fill", format="auto") | safe }}" />
</a>
{%- endif %}
{%- endfor %}
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<div class="info">
<i class="fa fa-lightbulb-o fa-fw" aria-hidden="true"></i>
{{body}}
</div>
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@@ -1,4 +0,0 @@
<div class="linux">
<i class="fa fa-linux fa-fw" aria-hidden="true"></i>
{{body}}
</div>
@@ -1 +0,0 @@
<img src="{{ resize_image(path=path, width=width, height=height, op=op) }}" />
+1 -1
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@@ -1 +1 @@
set(sources /home/pfisher/bts/spark/doc/user/build.sh;content/_index.md;content/bts_spark/Glossary/_index.md;content/bts_spark/Help/_index.md;content/bts_spark/Help/about_spark.png;content/bts_spark/Help/image39.png;content/bts_spark/Help/image58.png;content/bts_spark/Launcher/_index.md;content/bts_spark/Launcher/image38.png;content/bts_spark/Launcher/image68.png;content/bts_spark/Logging-In-to-the-System/_index.md;content/bts_spark/Logging-In-to-the-System/image3.png;content/bts_spark/Logging-In-to-the-System/image64.png;content/bts_spark/Market/_index.md;content/bts_spark/Market/change_securities.png;content/bts_spark/Market/image11.png;content/bts_spark/Market/image14.png;content/bts_spark/Market/image20.png;content/bts_spark/Market/image21.png;content/bts_spark/Market/image23.png;content/bts_spark/Market/image24.png;content/bts_spark/Market/image34.png;content/bts_spark/Market/image49.png;content/bts_spark/Market/image53.png;content/bts_spark/Market/image66.png;content/bts_spark/Market/image69.png;content/bts_spark/Market/market_view.png;content/bts_spark/Market/settings_icon.png;content/bts_spark/Market/time_and_sales.png;content/bts_spark/My-Windows/_index.md;content/bts_spark/My-Windows/image15.png;content/bts_spark/My-Windows/image16.png;content/bts_spark/My-Windows/image37.png;content/bts_spark/Settings/_index.md;content/bts_spark/Settings/image51.png;content/bts_spark/Settings/image9.png;content/bts_spark/Spreader/_index.md;content/bts_spark/Spreader/image10.png;content/bts_spark/Spreader/image13.png;content/bts_spark/Spreader/image18.png;content/bts_spark/Spreader/image19.png;content/bts_spark/Spreader/image28.png;content/bts_spark/Spreader/image29.png;content/bts_spark/Spreader/image31.png;content/bts_spark/Spreader/image35.png;content/bts_spark/Spreader/image40.png;content/bts_spark/Spreader/image43.png;content/bts_spark/Spreader/image54.png;content/bts_spark/Spreader/image55.png;content/bts_spark/Spreader/image56.png;content/bts_spark/Spreader/image6.png;content/bts_spark/Spreader/image7.png;content/bts_spark/Spreader/image70.png;content/bts_spark/Spreader/image72.png;content/bts_spark/Spreader/image8.png;content/bts_spark/Trading/OrderTypes/index.md;content/bts_spark/Trading/_index.md;content/bts_spark/Trading/algo_studio.png;content/bts_spark/Trading/collapse_all_icon.png;content/bts_spark/Trading/cover_algo_control.png;content/bts_spark/Trading/expand_all_icon.png;content/bts_spark/Trading/image1.png;content/bts_spark/Trading/image17.png;content/bts_spark/Trading/image2.png;content/bts_spark/Trading/image25.png;content/bts_spark/Trading/image27.png;content/bts_spark/Trading/image33.png;content/bts_spark/Trading/image42.png;content/bts_spark/Trading/image44.png;content/bts_spark/Trading/image47.png;content/bts_spark/Trading/image48.png;content/bts_spark/Trading/image5.png;content/bts_spark/Trading/image50.png;content/bts_spark/Trading/image52.png;content/bts_spark/Trading/image57.png;content/bts_spark/Trading/image59.png;content/bts_spark/Trading/image60.png;content/bts_spark/Trading/image61.png;content/bts_spark/Trading/image62.png;content/bts_spark/Trading/image73.png;content/bts_spark/Trading/image74.png;content/bts_spark/Trading/join_algo_control.png;content/bts_spark/Trading/ladder.png;content/bts_spark/Trading/ladder_badges.png;content/bts_spark/Trading/ladder_main_part.png;content/bts_spark/Trading/lean_algo_control.png;content/bts_spark/Trading/mini_orderbook.png;content/bts_spark/Trading/oco_algo_control.png;content/bts_spark/Trading/offset_algo_control.png;content/bts_spark/Trading/pnl_calculation.png;content/bts_spark/Trading/pnl_window.png;content/bts_spark/Trading/recreate_icon.png;content/bts_spark/Trading/settings_icon.png;content/bts_spark/Trading/spark_menu_order_book.png;content/bts_spark/Trading/top_algo_control.png;content/bts_spark/Trading/trigger_algo_control.png;content/bts_spark/_index.md;content/release_notes/_index.md;content/system_requirements/_index.md;static/book.js;static/favicon.ico;static/image.js;templates/index.html;templates/page.html;templates/section.html;templates/shortcodes/back_button.html)
set(sources /home/ppinto/Dropbox/bts/spark/doc/user/build.sh;content/_index.md;content/bts_spark/Algos/_index.md;content/bts_spark/Glossary/index.md;content/bts_spark/Help/about_spark.png;content/bts_spark/Help/image39.png;content/bts_spark/Help/image58.png;content/bts_spark/Help/index.md;content/bts_spark/Launcher/image38.png;content/bts_spark/Launcher/image68.png;content/bts_spark/Launcher/index.md;content/bts_spark/Logging-In-to-the-System/image3.png;content/bts_spark/Logging-In-to-the-System/image64.png;content/bts_spark/Logging-In-to-the-System/index.md;content/bts_spark/Market/change_securities.png;content/bts_spark/Market/image11.png;content/bts_spark/Market/image14.png;content/bts_spark/Market/image20.png;content/bts_spark/Market/image21.png;content/bts_spark/Market/image23.png;content/bts_spark/Market/image24.png;content/bts_spark/Market/image34.png;content/bts_spark/Market/image49.png;content/bts_spark/Market/image53.png;content/bts_spark/Market/image66.png;content/bts_spark/Market/image69.png;content/bts_spark/Market/index.md;content/bts_spark/Market/market_view.png;content/bts_spark/Market/settings_icon.png;content/bts_spark/Market/time_and_sales.png;content/bts_spark/My-Windows/image15.png;content/bts_spark/My-Windows/image16.png;content/bts_spark/My-Windows/image37.png;content/bts_spark/My-Windows/index.md;content/bts_spark/Settings/image51.png;content/bts_spark/Settings/image9.png;content/bts_spark/Settings/index.md;content/bts_spark/Spreader/image10.png;content/bts_spark/Spreader/image13.png;content/bts_spark/Spreader/image18.png;content/bts_spark/Spreader/image19.png;content/bts_spark/Spreader/image28.png;content/bts_spark/Spreader/image29.png;content/bts_spark/Spreader/image31.png;content/bts_spark/Spreader/image35.png;content/bts_spark/Spreader/image40.png;content/bts_spark/Spreader/image43.png;content/bts_spark/Spreader/image54.png;content/bts_spark/Spreader/image55.png;content/bts_spark/Spreader/image56.png;content/bts_spark/Spreader/image6.png;content/bts_spark/Spreader/image7.png;content/bts_spark/Spreader/image70.png;content/bts_spark/Spreader/image72.png;content/bts_spark/Spreader/image8.png;content/bts_spark/Spreader/index.md;content/bts_spark/Trading/algo_studio.png;content/bts_spark/Trading/collapse_all_icon.png;content/bts_spark/Trading/cover_algo_control.png;content/bts_spark/Trading/expand_all_icon.png;content/bts_spark/Trading/image1.png;content/bts_spark/Trading/image17.png;content/bts_spark/Trading/image2.png;content/bts_spark/Trading/image25.png;content/bts_spark/Trading/image27.png;content/bts_spark/Trading/image33.png;content/bts_spark/Trading/image42.png;content/bts_spark/Trading/image44.png;content/bts_spark/Trading/image47.png;content/bts_spark/Trading/image48.png;content/bts_spark/Trading/image5.png;content/bts_spark/Trading/image50.png;content/bts_spark/Trading/image52.png;content/bts_spark/Trading/image57.png;content/bts_spark/Trading/image59.png;content/bts_spark/Trading/image60.png;content/bts_spark/Trading/image61.png;content/bts_spark/Trading/image62.png;content/bts_spark/Trading/image73.png;content/bts_spark/Trading/image74.png;content/bts_spark/Trading/index.md;content/bts_spark/Trading/join_algo_control.png;content/bts_spark/Trading/ladder.png;content/bts_spark/Trading/ladder_badges.png;content/bts_spark/Trading/ladder_main_part.png;content/bts_spark/Trading/lean_algo_control.png;content/bts_spark/Trading/mini_orderbook.png;content/bts_spark/Trading/oco_algo_control.png;content/bts_spark/Trading/offset_algo_control.png;content/bts_spark/Trading/pnl_calculation.png;content/bts_spark/Trading/pnl_window.png;content/bts_spark/Trading/recreate_icon.png;content/bts_spark/Trading/settings_icon.png;content/bts_spark/Trading/spark_menu_order_book.png;content/bts_spark/Trading/top_algo_control.png;content/bts_spark/Trading/trigger_algo_control.png;content/bts_spark/_index.md;content/release_notes/_index.md;content/system_requirements/_index.md;static/book.js;static/favicon.ico;static/image.js;templates/index.html;templates/page.html;templates/section.html;templates/shortcodes/back_button.html)
@@ -0,0 +1,46 @@
+++
title = "BTS Basic Algos"
weight = 10
sort_by = "weight"
insert_anchor_links = "right"
+++
## Lean
The goal of the lean order is to watch the opposite-inside market size and cross when that size goes below the threshold (this also implies a cross if that size goes to zero and the market trades away from you) If the market trades toward you, you can opt into several different behaviors
##### Parameters
* Cross Thresh - size thresh in absolute or ratio terms
* Max Chase Ticks - max levels to pay up, in ticks
## Join
The goal of the join order is to watch the opposite-inside market and join when the market flips (that is, when the best offer becomes the best bid) and has at least threshold size.
##### Parameters
* Join Thresh - size thresh in absolute or ratio terms
## Top
The goal of the top order is to not trade by yourself, but the intent at the time of order entry is to get filled.If the order is on the market (say current bid price) AND the quantity on that bid price is below top thresh then cancel the order else remain working.
##### Parameters
* Top Thresh - size thresh in absolute or ratio terms
## Cover
A Cover order’s purpose is to fire a hedge order (of any type) in response to fills from it’s child order on the opposite side of the market N ticks away
##### Parameters
* Profit Ticks - ticks above or below fill price to place profit / cover order
## OCO
An OCO order creates a relationship between a child order and a 'stop' or 'other' order such that when one of these is cancelled, both cancel, or when one is filled, the other order's size is debited in the amount of the fill.
Composing this order with Cover simulates scalping functionality
##### Parameters
* Stop Ticks - ticks below or above main order to place stop / other order
@@ -154,7 +154,7 @@ insert_anchor_links = "right"
- Pay Less - If enabled by checking the checkbox, the spreader will
attempt to pay less when the quantity at the level of the calculated
hedge price is less than the threshold defined.  The hedge order is
hedge price is more than the threshold defined.  The hedge order is
paid less by the “Payless Ticks” as defined per leg.
- Pay Up - If enabled by checking the checkbox, the spreader will pay
up when the quantity at the level of the calculated hedge price is
@@ -1,77 +0,0 @@
+++
title = "Basic Algos"
weight = 1
sort_by = "weight"
insert_anchor_links = "right"
aliases = ["./bts_spark/Algos/"]
+++
## Lean
The goal of the lean order is to watch the opposite-inside market size and cross when that size goes below the threshold (this also implies a cross if that size goes to zero and the market trades away from you) If the market trades toward you, you can opt into several different behaviors
##### Parameters
* Cross Thresh - size thresh in absolute or ratio terms
* Max Chase Ticks - max levels to pay up, in ticks
## Join
The goal of the join order is to watch the opposite-inside market and join when the market flips (that is, when the best offer becomes the best bid) and has at least threshold size.
##### Parameters
* Join Thresh - size thresh in absolute or ratio terms
## Top
The goal of the top order is to not trade by yourself, but the intent at the time of order entry is to get filled.If the order is on the market (say current bid price) AND the quantity on that bid price is below top thresh then cancel the order else remain working.
##### Parameters
* Top Thresh - size thresh in absolute or ratio terms
## Cover
A Cover order’s purpose is to fire a hedge order (of any type) in response to fills from it’s child order on the opposite side of the market N ticks away
##### Parameters
* Profit Ticks - ticks above or below fill price to place profit / cover order
## OCO
An OCO order creates a relationship between a child order and a 'stop' or 'other' order such that when one of these is cancelled, both cancel, or when one is filled, the other order's size is debited in the amount of the fill.
Composing this order with Cover simulates scalping functionality
##### Parameters
* Stop Ticks - ticks below or above main order to place stop / other order
## Splitter
The splitter is useful for pro-rata markets where you want to vary your exposure independent of the order quantity that you want to fill. The splitter will complete when the number of fills reaches or exceeds the order quantity but it will put exposed_qty total size on the market. Splitter favors order size over queue position.
If exposed_qty is set to 0 the splitter will continue to exist in the Order Book but will cancel all of its child orders. This makes it a useful building block for custom algos that need to implement a 'paused' state.
##### Parameters
* exposed_qty - The total quantity to expose on the market.
* max_order_qty - The maximum size of a single order.
## Scratch
The scratch algo is similar to Lean, but instead of watching the opposite inside market, it watches the same side market and pays up when this quantity recedes below the scratch_threshold
##### Parameters
* scratch_threshold - The quantity on the same side market below which to scratch
* chase_ticks - The number of ticks through the opposite market to pay up
## ProRata
The prorata algo is a special case hedging algo for pro-rata markets. Users can specify two hedge types-- normal hedge and overfill hedge, the latter is spawned when you receive more fills than your fill_limit. Further, the algo attempts to scratch when in an overfilled state AND optionally the same side size falls below stay_in_threshold
##### Parameters
* hedge_ticks - The amount of ticks better hedges are placed on the opposite side market as the fill
* chase_ticks - How many ticks through the opposite market on a scratch
* fill_limit - The limit after which the algo considers further fills to be 'overfills'
* stay_in_threshold - A same side size threshold that enables the algo to 'stay in' even if overfilled
* enable_scratch_on_overfill - When true, overfills are immediately scratched upon the algo exiting
* enable_stay_in - When true, the algo will 'stay in' so long as the same side size is above stay_in_threshold, when false the algo attempts to 'get out' (and potentially scratch overfills) as soon as it reaches overfill status
* hedge - Child order type to send for normal hedges
* overfill_hedge - Child order type to send for overfill hedges
+32 -238
View File
@@ -1,231 +1,27 @@
+++
+++
title = "Release notes"
weight = 3
sort_by = "weight"
insert_anchor_links = "right"
+++
## 2.16.2
### User Visible Change
- Synthetic creation dialog has a "fractional" checkbox next to the tick settings. Users may uncheck this box to enter integer tick sizes, so the synthetic security's prices will be displayed without decimals, or fractional units.
## 2.16.1
### Bug Fixes
- OrderBook's algo state parameters (in the panel on the right side) are sorted alphabetically
## 2.16.0
### Bug Fixes
- Solved an issue that could result in incorrect ladder levels
- Solved an issue that could lead to incorrect routing of orders in the event of certain MSGW changes
### API Changes
- Add C# client side API samples for order entry, position monitoring and market data observation
## 2.15.10
### Bug Fixes
- Solved an issue that could cause the user interface to fail when playing some alert sounds
### API Changes
- Added settlement and position information to the API
- Added the ability for user algos to report custom state to the user interface
- Added the ability for algos to discover all active securities
## 2.15.3
### Bug Fixes
- Fixed a bug where some CME currency spreads exhibited incorrect tick values
## 2.15.2
### User Visible Changes
- Excel RTD plugin can now receive ICE market data
## 2.15.1
### Bug Fixes
- Fixed a FIX log parsing issue that resulted in exchange gateway logon problems
## 2.15.0
### User Visible Changes
- Added ability to hide Ladder status messages via Ladder Settings -> Left Panel tab -> Show/Hide groupbox -> Status Message
- Synthetic cloning now allows for any parameter to be changed, including tick size and leg contracts
- Added ability to import synthetics from a CSV file; see our manual for further details on this process
- Reduced Iceberg reloading latency
### Bug Fixes
- Fixed a bug where highlighted fills could lose their highlight status
- Fixed a bug where the (Mini) OrderBook PIQ could be displaying an old value
## 2.14.3
### Bug Fixes
- Fixed a bug regarding ICE logon messaging
## 2.14.2
### Bug Fixes
- Fixed a bug regarding ICE messaging
## 2.14.1
### Bug Fixes
- Fixed a bug regarding ICE logon authentication
## 2.14.0
### User Visible Changes
- All ladders can now be recentered by (shift or alt) + double clicking over the Price column in a ladder
- Added a Max Order Quantity setting to the Safety Checks tab on the Ladder settings. This setting allows for a user-defined maximum order quantity.
- Added a Price Display Format setting to the Market Price and Size Display tab on the Ladder settings. This setting allows for price levels in the ladder to be displayed without a decimal separator.
- Synthetic instrument creation with 3 legs no longer defaults to butterfly quantites
### Bug Fixes
- Fixed an issue where market transition were not observed by IAlgoOrder
- Fixed a bug in error reporting
- Fixed a bug in the PnL window where specifying a certain grouping order would lead to a UI failure
## 2.13.0
### User Visible Changes
- Added the name of the spreader to the parent algo badge (for spreader child orders), in the fills, orderbook and floating orderbook windows
- Added support for sounds for new orders
- Added a new quoting throttle parameter for the spreader, that throttles quotes that are moving toward the inside market but are still a configurable number of ticks away
- Enabled the ladder to remember the left panel scroll position across front end restarts
### Bug Fixes
- Fixed the local fills window so that it does not show the admin fills
- Removed the deleted accounts from the ladder accounts dropdown
- Fixed the orderbook price for iceberg of spreaders
## 2.12.0
### User Visible Changes
- Added support for ICE market data and order execution
### Internal Changes
- Lots of permission / admin changes to facilitate ICE
## 2.11.0
### User Visible Changes
- Fixed fills form time filter to also apply to SOD fills
- Addressed an issue that could prevent the web Admin UI from displaying over slow HTTP connections
- Removed the option to enter manual spread fills
- Fixed an issue that could cause erroneous fill account attribution in the event of a crash
### Internal Changes
- Added support for tag 1031. Currently defaults to Y, can it be override through config.
- To facilitate support, allowed the bts user to view and edit algos from all other users
- Improved system tests
- Improved log messages in UI to include dispatcher thread name
- Added support for Windows core dumps in the UI
## 2.10.0
### User Visible Changes
- Fills now include information about the algo that originated the fill
- A new, more powerful PnL form is now available
### API Changes
- Added security state information (pre open, halted, normal, closed, etc)
### Bug Fixes
- Brought back the "select all" check box in the mini order book
- Fixed an issue in the market data subsystem that on rare occasions could result in a startup crash
### Internal Changes
- Fixed an issue that was stopping us from interpreting SOD times as local rather than GMT
## 2.9.3
### Internal Changes
- Fixed system test scripts
## 2.9.2
### Bug Fixes
- Fixed an issue with the exchange simulator that could lead to crossed markets
## 2.9.1
### Bug Fixes
- Fixed an issue with trade sound alerts, where in some cases the use of a "In Between" condition could lead to a UI failure.
- Fixed an issue with the display of the new raw position column in the market view window.
- Fixed the popup label that describes the raw position information in the ladder
### Internal Changes
- Avoided shipping production configuration defaults that lead to trying to download a position file for the development sftp server.
### Api
- C# API sample now uses synchronous calls.
## 2.9.0
### User Visible Changes
- Improved Workspace management User Interface
- Added the ability to change grid background colors
- The Spark UI Window group now has a title in the Windows task bar
- Added sound alerts for trade events, see Launcher -> Settings -> Alerts
- Allowed composite algos that are attached to existing orders to identify fills that were already present prior to attachment
- Added import facilities for GMI position files
- Added the ability for risk managers to enter manual fills
- Added "raw" P&L columns, that is columns that *do not* include spread legs in their accounting
### Bug Fixes
- Fixed the settings action menu (Load/Save/Reset to Factory)
- Fixed the method used to determine if a security is expired to take into account the start of day time
### API Changes
- Fixed an issue in the Client SDK that could lead to occasional failures to connect to the spark server as well as excessive memory usage.
- Added the ability for algo orders to distinguish fills existing prior to launch
### Internal Changes
- Changed how we packaged certain third-party components
- Added logging of entitlement status
- Tagged outgoing orders with sequence number of marketdata or FIX event that triggered them
## 2.8.3
### Bug Fixes
- Fixed a bug that could cause an OrderBook's Security column filter to be blank
- Fixed a bug that could cause a UI failure when clearing a filter selection on a filtering widget
## 2.8.2
### Bug Fixes
- Added proper display factors for SOM spreads
- Fixed a bug that could cause a UI failure when trying to change settings in a synthetic ladder
## 2.8.1
### Bug fixes
- Fixed an error in the UI grids filtering widget
## 2.8.0
### User Visible Changes
- Added ProRata and Scratch algos
- Ladder badge now grows/shrinks to fill the containing cell
- Attached algo parameters are now displayed in the update panel
- Fixed a bug where the update panel would show '-' values when only
1 order was selected
- Fixed a bug that cause cause a failure on startup if the user
loaded a workspace with a Ladder that had a dynamic order type
selected by default
- Increased width of login panel to better show login error messages
- Added optional 'Maker/Taker' pricing to Spreader algo
- Algo buttons in ladder can now be made to deactivate after launching an algo or remain 'sticky'
### Internal changes
- Made it easier to generate simple UI's for new order types
### API Changes
- Dynamic orders can now use QuantityMeasure parameter types
## 2.7.2
### User Visible Changes
- Changed the login dialog to avoid leaking workspace names from other users.
- Added new Splitter algo. From the manual: The splitter is useful
for pro-rata markets where you want to vary your exposure
independent of the order quantity that you want to fill. The
splitter will complete when the number of fills reaches or exceeds
the order quantity but it will put exposed_qty total size on the
market. Splitter favors order size over queue position.
### Internal Changes
- Made spark more resilient to lack of connectivity to the CME web site for downloading of templates.
## 2.7.1
### User Visible Changes
- Fixed some issues with the Cover algo, where in some circumstances
it would erroneously cancel launched hedges on completion.
## 2.7.0
### User Visible Changes
- Allowed algos to process "in-flight" fills while shutting down
- Changed the cover algo to continue to hedge while shutting down
### API Changes
- Changed the API so that algos do not fully terminate until all
their children are terminated. Algos that are in the process of
shutting down in response to a complete or cancel call will still
receive child updates, which they can use to calculate and report
an accurate fill count (during this shutdown stage algos cannot
create, cancel or update children). A new IAlgoServices method,
is_shutting_down(), can be used to determine if an algo is
shutting down.
## 2.6.2
### User Visible Changes
- Fixed an issue in the ladder where in some cases the mini order book could not be brought up from a badge
- Fixed a rare race condition that could lead to erroneous limit enforcement
- Fixed an issue with the margin limits where an error could occur if an account name with more than 12 chars was used
## 2.6.1
### User Visible Changes
- Fixed an issue in the ladder where an error could occur when trying to change ladder settings for the first time
## 2.6.0
### User Visible Changes
- In the ladder made last trade more distinctive when overlayed on the volumn column
- In the ladder, corrected display of volume tool tip
- In the ladder, corrected display of volume tool tip
- In the ladder, changed the consolidation of last trade to consider only the price ignoring aggressor changes
- Added an option for the Top Algo to delete itself if within N ticks from top of book
- Address a rare issue that could lead to an error report on UI exit
- Added margin risk limits
- Added the "Offset" algo. Offset prices a child algo at a parameterizable distance from the top of the book
- Avoided switching the current account and order type on open ladders when limits are changed
- Avoided switching the current account and order type on open ladders when limits are changed
### Internal Changes
- Ensure that admin logins are always allowed to login, regardless of keycode status.
## 2.5.0
### User Visible Changes
- Added loss limit risk check
@@ -255,13 +51,13 @@ insert_anchor_links = "right"
- Made Cover order more independent from its hedging chidren:
- Cover continues to operate even if an hedging child is canceled
- When a cover is canceled it will detach from any running hedging children, instead of canceling them
- Changed Lean, Join and Cover algos to hide themselves in the ladder once they have completed their work
- Changed Lean, Join and Cover algos to hide themselves in the ladder once they have completed their work
- Changed manual fills to appear in day PnL rather than in the SOD records
- Add buy/sell coloring to fill rows in fills window
- Streamlined the mini order book:
- Display of the mini order book popup is quicker
- Only exchange orders are displayed
- Update buttons are only displayed for orders that are under control of an algo with the update applying to the entire algo, not just the exchange order
- Update buttons are only displayed for orders that are under control of an algo with the update applying to the entire algo, not just the exchange order
- We can now select multiple rows to attach, detach, update or cancel multiple orders in a batch
- A checkbox column has been added to make clearer which rows are selected
### API Changes
@@ -271,7 +67,7 @@ insert_anchor_links = "right"
- Added system requirements to Spark documentation
- Implemented keycodes
- Temporarily rejected stop and stop limit orders, pending bug fixes
## 2.2.0
### User Visible Changes
- Made our orders easier to spot in MBO display
@@ -282,30 +78,30 @@ insert_anchor_links = "right"
- Improved handling of orders with undiscovered securities
- Added feedback to the ladder when the user attempts to middle click on bid/ask columns using an order that does not have parameters
- Fixed display of algo studio algo types in order book
- Hid net change setting in synthetic ladders
- Hid net change setting in synthetic ladders
- Fixed a number of problems with filtering on the Fills form
- On the Lean algo, OnToward and Away are now calculated with respect to the opposite inside market at time of the order launch
- Iceberg Spreaders with queue holders are not erroneously cancelled after the first fill
- Added security symbol column to fills window
- Re-organized ladder settings dialog to make it clearer and easier to use
## 2.1.4
### User Visible Changes
- Fixed handling of cancel button in security picker
## 2.1.3
### User Visible Changes
- Fixed a simulator bug in the handling of 0 sized orders
- Fixed a simulator bug in the handling of 0 sized orders
## 2.2.1
### User Visible Changes
- Fixed order book form exception when display a spreader order for whichs the legs were not present yet
## 2.1.1
### User Visible Changes
- Added PIQ to GLBX Iceberg orders
- Corrected handling of stop limit orders
## 2.1.0
### User Visible Changes
- Added support for the GLBX Iceberg order type
@@ -316,7 +112,7 @@ insert_anchor_links = "right"
- Added PIQ to the mini order book
- Fixed a rare bug that could lead to server failure when requesting market data
- Fixed a bug that could cause incorrect price displays for certain types of synthetic securities
## 2.0.5
### User Visible Changes
- Fixed a bug in the handling of rejected QHO orders
@@ -326,19 +122,19 @@ insert_anchor_links = "right"
## 2.0.4
### User Visible Changes
- Fixed performance regression in order manager
### Internal changes
- Improved market data diagnostics for bad configurations
- Changed market data default buffer size
## 2.0.3
### Internal changes
- Improved backwards compatibility in UI settings
## 2.0.2
### User Visible Changes
- Middle click the ladder price column to show the orders for that price level
- Middle click the ladder price column to show the orders for that price level
- Middle click the bid or ask column in the ladder no longer sends an order
### Internal changes
@@ -366,8 +162,8 @@ insert_anchor_links = "right"
- Improved settings manager tool output
- Added diagnostics in the event MD memory corruption is detected
- Added systems tests for join,lean, iceberg and spreader orders
- Made exchange order recovery more resilient in the presence of database loss
- Made exchange order recovery more resilient in the presence of database loss
## 1.6.2
### User Visible Changes
### Exchange simulator
@@ -392,7 +188,7 @@ insert_anchor_links = "right"
- Integrated stunnel into UI to make VPN setup unnecessary in unsecured environments.
## 1.5.7
### User Visible Changes
- New videos have been added to the manual describing the [Algo Studio](./bts_spark/Trading/_index.md#algo-studio) and [Spreader](./bts_spark/Spreader/_index.md)
- New videos have been added to the manual describing the [Algo Studio](./bts_spark/Trading/index.md#algo-studio) and [Spreader](./bts_spark/Spreader/index.md)
- Fixed a bug that occasionally would cause windows to be position outside the visible screen on startup
- Fixed a bug in the order book form that would occasionally cause the Recreate Order option to be unavailable
- Added a confirmation step to Cancel All, Cancel Buys and Cancel Sells commands
@@ -406,21 +202,21 @@ insert_anchor_links = "right"
- These columns can be restored by toggling their visibility within the PnL's Settings form
- A new Traded Today column has been added to the PnL
- Filtering on this column will allow a user to restrict the report to only show today's position
### Internal changes
- Improved organization of the shell notification architecture
### Internal changes
- Improved organization of the shell notification architecture
- Added logging to help troubleshoot shell exit hang
## 1.5.6
### User Visible Changes
- Fixed a bug that could cause limits to be erroneously enforced
- Fixed a bug that could cause limits to be erroneously enforced
- Improved algo documentation
- Changed how the spreader uses net change
- Simplified trigger algo user interface
### Internal changes
### Internal changes
- Defaulted to not recording sim market data
- Improved documentation build
- Improved documentation build
- Added additional performance tracing
## 1.5.5
- Fixed Market View 'stale working orders' bug
@@ -428,11 +224,11 @@ insert_anchor_links = "right"
- Avoided logging when warming up cache
## 1.5.3
- Fixed sounds startup issue
- Fixed sounds startup issue
## 1.5.2
- Added better logging to AlgoDefinitionService
## 1.5.1
- Fixed missing securities in the Fills and P&L windows.
@@ -453,7 +249,7 @@ insert_anchor_links = "right"
#### Bug Fixes
- Fixed the "Since Open" time filter to use the exchange open time rather than 8:30 AM
- Fixed a bug in the order book where sometimes parent orders would not update their last message column.
#### Algos
- Added OCO Algo
- An OCO order creates a relationship between a child order and a 'stop' or 'other' order such that when one of these is cancelled, both cancel, or when one is filled, the other order's size is debited in the amount of the fill. Composing this order with Cover simulates scalping functionality
@@ -461,7 +257,7 @@ insert_anchor_links = "right"
- Improved SDK documentation and usability
- Dynamic orders are now properly identified in the order book
#### Documentation
- Information on the Spark API has been added to the Spark manual
- Information on the Spark API has been added to the Spark manual
- The documentation has been updated and reorganized to make information easier to find
### Internal Changes
- Improved robustness of limit system test
@@ -516,7 +312,6 @@ insert_anchor_links = "right"
- The zoom functionality can also be performed via hotkey and mouse wheel combinations
- Zoom In = CTRL + Mouse wheel up
- Zoom Out = CTRL + Mouse wheel down
- Reset zoom = CTRL + Mouse wheel click or double click on the zoom slider
### Exchange simulator
- Improved the exchange simulator to track real market data more closely
@@ -728,4 +523,3 @@ insert_anchor_links = "right"
- Start, Day and Total PnL columns are painted with a red or green background color based on if the pnl value is negative or positive respectively
- Corrected cash per point values, used in pnl calculations, for a number of products
- PnL report will now remember any customizations you make to filtering and/or sorting criteria
-6
View File
@@ -1,6 +0,0 @@
{
"sdk": {
"version": "2.1.508",
"rollForward": "latestMajor"
}
}
-4
View File
@@ -1,7 +1,3 @@
2.14.0
- Load Algos in libspark.so automatically (no symlink needed)
- Specify commands to run when sparkd starts. These will automatically be killed when sparkd terminates if they are still running.
1.5.7
- Fixed Aggressor coloring and ladder high/low coloring in SIM
-4
View File
@@ -22,10 +22,6 @@
<GenDir>$(BaseOutputPath)\gen\$(MSBuildProjectName)</GenDir>
</PropertyGroup>
<PropertyGroup Condition="'$(VCTargetsPath)'==''">
<VCTargetsPath>C:\Program Files (x86)\Microsoft Visual Studio\2017\Professional\Common7\IDE\VC\VCTargets</VCTargetsPath>
</PropertyGroup>
<Import Project="$(ComputerSpecificConfig)" Condition="Exists($(ComputerSpecificConfig))" />
<ItemGroup>
+62 -53
View File
@@ -1,74 +1,83 @@
using bts;
using bts.api.admin;
using bts.api.core;
using bts.utils;
using System;
using System.Collections.Generic;
using System.ComponentModel.Composition;
using System.Linq;
using System.Reactive.Linq;
using System.Reactive.Subjects;
using bts.api.core;
using mbts.ui.shell;
namespace mbts.spark {
[Export]
class AdminModel : IDisposable {
public readonly UserTuple user;
IDisposable _dispose;
IReadOnlyDictionary<uint, string> _account_map = DictionaryHelper.empty<uint, string>();
readonly BehaviorSubject<IReadOnlyDictionary<uint, string>>
_accounts_subject = new BehaviorSubject<IReadOnlyDictionary<uint, string>>(new Dictionary<uint, string>()),
_users_subject = new BehaviorSubject<IReadOnlyDictionary<uint, string>>(new Dictionary<uint, string>());
IReadOnlyDictionary<uint, string>
_account_map = new Dictionary<uint, string>(),
_user_map = new Dictionary<uint, string>();
readonly BehaviorSubject<AdminModelWrapper> _wrapper_subject = new BehaviorSubject<AdminModelWrapper>(new AdminModelWrapper());
IDisposable _dispose;
[ImportingConstructor]
AdminModel(AdminService service, UserTuple user) {
AdminModel(AdminService service, [Import]UserTuple user) {
this.user = user;
// accounts
on_accounts = service.subscribei_admin_data()
.Select(up => up.all.TryGetFirst(out var ad) && ad.Users.Where(u => u.Name == user.name).TryGetSingle(out var usr) && usr.HasUserData && usr.UserData.HasAccountPermissions ?
usr.UserData.AccountPermissions.AccountPermissions
.Where(kv => (kv.Value.TradingPermission != null && kv.Value.TradingPermission.HasPermissions) || kv.Value.AdminPermission.HasPermissions)
.Select(kv => ad.Accounts.Where(a => a.Id == kv.Key).TryGetSingle(out var acc) ? acc : (BTSAccountImmutable?)null)
.Where(acc => acc.HasValue && acc.Value.IsPresent)
.Select(acc => acc.Value)
.ToDictionary(acc => acc.Id, acc => acc.Name) :
new Dictionary<uint, string>(0))
.Replay(1)
.RefCount();
// users
on_users = Observable.Return(DictionaryHelper.wrap_value(user.id, user.name));
all_user_tuples = user.permissions == UserTuple.Permissions.Admin ?
service.subscribei_admin_data()
.Select(u => u.all.TryFirst())
.Where(ad => ad.HasValue)
.Select(ad => ad.Value.Users
.Where(u => user.can_access_user_data(u.Id))
.Select(u => new UserTuple(u.Id, u.Name))
.ToDictionary(UserTuple.key_fn))
.Table(UserTuple.key_fn)
.Cache() :
Observable.Return(TableUpdate<UserTuple, uint>.mk_empty(UserTuple.key_fn).with_added(new[] { user }));
_dispose = on_accounts.Subscribe(map => _account_map = map);
_dispose = service.subscribei_admin_data().Select(update => {
_wrapper_subject.OnNext(new AdminModelWrapper(update.all.TryFirst(), user.name));
IEnumerable<BTSUserImmutable> active_users =
from admin_data in update.all
from bts_user in admin_data.Users
where bts_user.Name == user.name && bts_user.HasUserData && bts_user.UserData.HasAccountPermissions
select bts_user;
IEnumerable<BTSAccountImmutable> active_accounts =
from admin_data in update.all
from bts_account in admin_data.Accounts
where bts_account.IsPresent && _wrapper_subject.Value.can_view_account(bts_account.Name)
join account_id in (
from bts_user in active_users
from account_id in bts_user.UserData.AccountPermissions.AccountPermissions.Keys
select account_id
) on bts_account.Id equals account_id
select bts_account;
var users = active_users.ToDictionary(u => u.Id, u => u.Name);
var accounts = active_accounts.ToDictionary(a => a.Id, a => a.Name);
return (users, accounts);
}).Subscribe(t => {
_account_map = t.accounts;
_user_map = t.users;
_users_subject.OnNext(_user_map = t.users);
_accounts_subject.OnNext(_account_map = t.accounts);
});
}
public IObservable<IReadOnlyDictionary<uint, string>> on_users { get; }
public IObservable<IReadOnlyDictionary<uint, string>> on_accounts { get; }
public IObservable<TableUpdate<UserTuple, uint>> all_user_tuples { get; }
public IObservable<IReadOnlyList<AccountTuple>> on_account_tuples => on_accounts.Select(d => d.Select(kv => new AccountTuple(kv.Key, kv.Value)).ToListSorted(a => a.name));
public IObservable<IReadOnlyDictionary<uint, string>> on_users => _users_subject.AsObservable();
public IObservable<IReadOnlyDictionary<uint, string>> on_accounts => _accounts_subject.AsObservable();
public IObservable<IReadOnlyList<UserTuple>> on_user_tuples => on_users.Select(d => d.Select(kv => new UserTuple(kv.Key, kv.Value)).ToList());
public IObservable<IReadOnlyList<AccountTuple>> on_account_tuples => on_accounts.Select(d => d.Select(kv => new AccountTuple(kv.Key, kv.Value)).ToList());
public IObservable<AdminModelWrapper> on_admin_data => _wrapper_subject.AsObservable();
public IObservable<Update<T, TKey>> permission_filter<T, TKey>(IObservable<Update<T, TKey>> positions, Func<T, uint> get_account_id) where TKey : IEquatable<TKey> =>
user.permissions == UserTuple.Permissions.Admin ?
positions :
positions.Filter(on_accounts.Select(map => new Func<T, bool>(p => map.ContainsKey(get_account_id(p)))));
public AccountTuple? get_default_account() {
foreach (var kv in _account_map) {
return new AccountTuple(kv.Key, kv.Value);
}
return null;
}
public uint? get_user_id(string user) => _id_for_name(user, _user_map);
public uint? get_account_id(string account) => _id_for_name(account, _account_map);
public void Dispose() => Disposable.dispose(ref _dispose);
public IObservable<Update<T, TKey>> permission_filter<T, TKey>(IObservable<Update<T, TKey>> positions, Func<T, string> get_account_name) where TKey : IEquatable<TKey> =>
user.permissions == UserTuple.Permissions.Admin ?
positions :
positions.Filter(on_accounts.Select(map => {
var hash = new HashSet<string>(map.Values);
return new Func<T, bool>(v => hash.Contains(get_account_name(v)));
}));
public AccountTuple? get_default_account() =>
_account_map.Select(kv => new AccountTuple(kv.Key, kv.Value)).TryFirst();
public void Dispose() =>
Disposable.dispose(ref _dispose);
static uint? _id_for_name(string name, IReadOnlyDictionary<uint, string> map) {
foreach (var kv in map) {
if (kv.Value == name)
return kv.Key;
}
return null;
}
}
}
@@ -1,193 +0,0 @@
using bts;
using bts.api;
using bts.api.core;
using mbts.ui.utility;
using mbts.utils;
using System;
using System.Collections.Generic;
using System.Collections.Immutable;
using System.ComponentModel.Composition;
using System.Linq;
using System.Reactive.Linq;
using System.Text.RegularExpressions;
using AlgoType = bts.api.orderman.CustomOrderDefinition.CustomOneofCase;
namespace mbts.spark {
class AlgoProviderFactory {
[ImportingConstructor]
AlgoProviderFactory(IAlgoStudioModel studio_model, DynamicOrderHelper dynamic_helper, ISecurityAuxiliaryDataModel security_auxiliary_model) {
var from_conf = config.Configuration.get<bts.config.AlgoTypeRuleSet>();
if (from_conf.rules.Count == 0) {
// There seems to be a config race bug, where the returned config values are empty, despite having entries in spark.conf.
// [John]I've only noticed it happen when attached to the debugger,
// but best to have a contingency plan in place anyways, to prevent any chance of regression.
// The fallback sets below mimic the old hardcoded algo type arrays.
var full_algo_set = new AlgoTypeSetImmutable(
ImmutableHashSet.CreateRange(EnumHelper.get_values_except(
// non-factory algos
AlgoType.None,
AlgoType.Dynamic,
AlgoType.Composite,
// obsolete algos
AlgoType.Oco,
AlgoType.TimeBox,
AlgoType.Pricer,
AlgoType.Tick,
AlgoType.Trigger,
AlgoType.QueueHolder)),
ImmutableHashSet.CreateRange(dynamic_helper.dynamic_types));
var rules = new[] {
// Glbx: Futures/Spreads
new SecurityAlgoTypeSetImmutable(
new SecurityCriteriaClause(
exchanges: new[] { Venue.Glbx },
security_types: new[] { SecurityType.Future, SecurityType.Spread }),
new AlgoTypeSetImmutable(
full_algo_set.factory_types.Except(new[] { AlgoType.Spreader }),
full_algo_set.dynamic_types)),
// Gen: Futures/Spreads
new SecurityAlgoTypeSetImmutable(
new SecurityCriteriaClause(
exchanges: EnumHelper.get_values_except(Venue.Glbx, Venue.Unset).ToArray(),
security_types: new[] { SecurityType.Future, SecurityType.Spread }),
new AlgoTypeSetImmutable(
full_algo_set.factory_types.Except(new[] { AlgoType.Spreader, AlgoType.GlbxIceberg }),
full_algo_set.dynamic_types)),
// Gen: Synthetics
new SecurityAlgoTypeSetImmutable(
new SecurityCriteriaClause(
security_types: new[] { SecurityType.Synthetic }),
new AlgoTypeSetImmutable(
ImmutableHashSet.CreateRange(new[] {
AlgoType.Spreader,
AlgoType.Iceberg,
AlgoType.Lean,
AlgoType.Join,
AlgoType.Cover,
AlgoType.Offset,
AlgoType.Top,
AlgoType.Splitter,
AlgoType.Scratch,
AlgoType.Prorata
}),
full_algo_set.dynamic_types))
};
// attachable
var attachable_algos =
ImmutableHashSet.CreateRange(new[] {
AlgoType.Iceberg,
AlgoType.Lean,
AlgoType.Join,
AlgoType.Cover,
AlgoType.Top,
AlgoType.Offset,
AlgoType.Scratch,
AlgoType.Prorata
});
var attachable_rules = Array.ConvertAll(rules,
satsi => new SecurityAlgoTypeSetImmutable(
satsi.security_criteria,
new AlgoTypeSetImmutable(
satsi.algo_type_set.factory_types.Intersect(attachable_algos),
satsi.algo_type_set.dynamic_types)));
Log.Config.warn($"Failed to load AlgoTypes config, falling back to the following algo set rules:" +
"\n\tStandard\n" +
rules.fmt_diagnostic("\n\t\t") +
"\n\n\tAttachable\n" +
attachable_rules.fmt_diagnostic("\n\t\t"));
security_algo_provider = new AlgoProvider(rules, studio_model, dynamic_helper, security_auxiliary_model);
attachable_algo_provider = new AttachableAlgoProvider(attachable_rules, studio_model, dynamic_helper, security_auxiliary_model);
} else {
var algo_type_data =
EnumHelper.get_values_except(AlgoType.Dynamic, AlgoType.Composite, AlgoType.None)
.Select(t => _get_type_data(t))
.Concat(dynamic_helper.dynamic_types.Select(dt => _get_type_data(AlgoType.Dynamic, dt)))
.ToListLazy();
var conf_sets = from_conf.rules.Select(r => _to_security_algo_set(r, dynamic_helper, algo_type_data)).ToList();
security_algo_provider = new AlgoProvider(conf_sets.Select(tup => tup.standard).ToList(), studio_model, dynamic_helper, security_auxiliary_model);
attachable_algo_provider = new AttachableAlgoProvider(conf_sets.Select(tup => tup.attachable).ToList(), studio_model, dynamic_helper, security_auxiliary_model);
}
}
[Export]
public IAlgoProvider security_algo_provider { get; }
[Export]
public IAttachableAlgoProvider attachable_algo_provider { get; }
static (string name, AlgoType factory, string dynamic) _get_type_data(AlgoType type, string dynamic_type = null) {
string type_name = type.ToString();
return (type_name, type, dynamic_type ?? type_name);
}
static SecurityCriteriaClause _to_clause(bts.config.AlgoTypeContext context) =>
context == null ?
new SecurityCriteriaClause() :
new SecurityCriteriaClause(
exchanges: context.exchanges?.Select(EnumHelper.parse<Venue>)?.ToArray(),
security_types: context.security_types?.Select(EnumHelper.parse<Security.ContractOneofCase>)?.Select(t => t.security_type())?.ToArray(),
symbols: context.symbols?.ToArray());
static (SecurityAlgoTypeSetImmutable standard, SecurityAlgoTypeSetImmutable attachable) _to_security_algo_set(
bts.config.AlgoTypeRule rule,
DynamicOrderHelper dynamic_helper,
IEnumerable<(string name, AlgoType factory, string dynamic)> algo_type_data) {
//
var factory_types = ImmutableHashSet<AlgoType>.Empty.ToBuilder();
var dynamic_types = ImmutableHashSet<string>.Empty.ToBuilder();
var attachable_factory_types = ImmutableHashSet<AlgoType>.Empty.ToBuilder();
var attachable_dynamic_types = ImmutableHashSet<string>.Empty.ToBuilder();
foreach (var a in rule.algos) {
if (Enum.TryParse(a.name, out AlgoType sys_algo) && sys_algo != AlgoType.Composite && sys_algo != AlgoType.Dynamic) {
on_sys_match(sys_algo, a.is_attachable);
}
else if (dynamic_helper.try_parse(a.name, out var dyn_type)) {
on_dyn_match(dyn_type, a.is_attachable);
} else {
foreach (var (name, factory, dynamic) in algo_type_data) {
if (Regex.Match(name, a.name).Success) {
switch (factory) {
case AlgoType.None:
case AlgoType.Composite:
// unexpected, but no need to crash
continue;
case AlgoType.Dynamic:
on_dyn_match(dynamic, a.is_attachable);
break;
default:
on_sys_match(factory, a.is_attachable);
break;
}
}
}
}
}
return (
// standard
new SecurityAlgoTypeSetImmutable(
_to_clause(rule.context),
new AlgoTypeSetImmutable(
factory_types.ToImmutable(),
dynamic_types.ToImmutable())),
// attachable
new SecurityAlgoTypeSetImmutable(
_to_clause(rule.context),
new AlgoTypeSetImmutable(
attachable_factory_types.ToImmutable(),
attachable_dynamic_types.ToImmutable())));
// local methods
void on_sys_match(AlgoType sys_algo, bool is_attachable) {
factory_types.Add(sys_algo);
if (is_attachable)
attachable_factory_types.Add(sys_algo);
}
void on_dyn_match(string dyn_algo, bool is_attachable) {
dynamic_types.Add(dyn_algo);
if (is_attachable)
attachable_dynamic_types.Add(dyn_algo);
}
}
}
}
@@ -1,132 +0,0 @@
using bts.api.core;
using bts.api.orderman;
using mbts.spark.utilities;
using mbts.utils;
using System;
using System.Collections.Generic;
using System.Collections.Immutable;
using System.Linq;
using System.Reactive.Linq;
using System.Text;
using AlgoType = bts.api.orderman.CustomOrderDefinition.CustomOneofCase;
namespace mbts.spark {
readonly struct AlgoTypeSetImmutable {
public static readonly AlgoTypeSetImmutable empty = new AlgoTypeSetImmutable(ImmutableHashSet<AlgoType>.Empty, ImmutableHashSet<string>.Empty);
public readonly ImmutableHashSet<AlgoType> factory_types;
public readonly ImmutableHashSet<string> dynamic_types;
public AlgoTypeSetImmutable(
ImmutableHashSet<AlgoType> factory_types,
ImmutableHashSet<string> dynamic_types) {
this.factory_types = factory_types;
this.dynamic_types = dynamic_types;
}
}
readonly struct SecurityAlgoTypeSetImmutable {
public readonly SecurityCriteriaClause security_criteria;
public readonly AlgoTypeSetImmutable algo_type_set;
public SecurityAlgoTypeSetImmutable(SecurityCriteriaClause security_criteria, AlgoTypeSetImmutable algo_type_set, CustomOrderDefinitionImmutable? default_algo = null) {
this.security_criteria = security_criteria;
this.algo_type_set = algo_type_set;
}
}
static class AlgoTypeSetExtensions {
public static string fmt_diagnostic(this IEnumerable<SecurityAlgoTypeSetImmutable> rules, string line_delim = "\n") {
var sb = new StringBuilder();
int rule_count = 1;
using (var en = rules.GetEnumerator()) {
if (en.MoveNext()) {
string line_delim_tab1 = line_delim + "\t";
string line_delim_tab2 = line_delim + "\t\t";
append_rule(en.Current);
while (en.MoveNext()) {
sb.AppendLine();
append_rule(en.Current);
}
//
void append_rule(SecurityAlgoTypeSetImmutable r) {
sb.Append(line_delim + $"**RULE {rule_count++}**");
sb.Append(line_delim_tab1);
sb.Append("Security Criteria: ");
sb.Append(r.security_criteria.is_defined ? string.Join("; ", r.security_criteria.fmt_diagnostic_msgs()) : "(Undefined)");
sb.Append(line_delim_tab1);
// Factory
sb.Append("Factory Types:");
sb.Append(line_delim_tab2);
sb.Append(string.Join(line_delim_tab2, r.algo_type_set.factory_types));
sb.Append(line_delim_tab1);
// Dynamic
sb.Append("Dynamic Types:");
sb.Append(line_delim_tab2);
sb.Append(string.Join(line_delim_tab2, r.algo_type_set.dynamic_types));
}
}
}
return sb.ToString();
}
public static AlgoTypeSetImmutable intersect_with(this AlgoTypeSetImmutable a, AlgoTypeSetImmutable b) =>
new AlgoTypeSetImmutable(a.factory_types.Intersect(b.factory_types), a.dynamic_types.Intersect(b.dynamic_types));
public static AlgoTypeSetImmutable union_with(this AlgoTypeSetImmutable a, AlgoTypeSetImmutable b) =>
new AlgoTypeSetImmutable(a.factory_types.Union(b.factory_types), a.dynamic_types.Union(b.dynamic_types));
public static IEnumerable<AlgoData> define_algos(
this AlgoTypeSetImmutable algo_set,
DynamicOrderHelper dynamic_helper,
Func<CustomOrderDefinitionImmutable, CustomOrderDefinitionImmutable> fit_to_type = null,
uint display_qty_divisor = 1) =>
//
algo_set.factory_types
.Select(algo_type => {
var def = OrderDataHelper.Defaults.CustomOrderDefinitionImmutable(algo_type);
if (fit_to_type != null)
def = fit_to_type(def);
// multiply quantity props by display qty divisor to get appropriate actual value
if (display_qty_divisor > 1) {
switch (def.CustomCase) {
case AlgoType.Iceberg:
var mdef = def.CloneToMutable();
mdef.Iceberg.ShowQuantity *= display_qty_divisor;
def = new CustomOrderDefinitionImmutable(mdef);
break;
}
}
return def;
})
.Concat(algo_set.dynamic_types.Select(dynamic_helper.create_custom_defi))
.Select(AlgoData.from_custom_def);
public static ImmutableDictionary<AlgoKey, AlgoData> match_algos(
this IEnumerable<SecurityAlgoTypeSetImmutable> security_algo_sets,
SecurityCriteriaClause clause,
DynamicOrderHelper dynamic_helper,
Func<CustomOrderDefinitionImmutable, CustomOrderDefinitionImmutable> fit_to_type = null,
uint display_qty_divisor = 1) {
//
ImmutableDictionary<AlgoKey, AlgoData> rv = null;
foreach (var set in security_algo_sets) {
if (!clause.is_subset_of(set.security_criteria)) {
continue;
} else if (rv == null) {
rv = ImmutableDictionary.CreateRange(
set.algo_type_set.define_algos(dynamic_helper, fit_to_type, display_qty_divisor)
.Select(a => new KeyValuePair<AlgoKey, AlgoData>(a.key, a)));
} else {
foreach (var kv in rv) {
if (kv.Value.value.CustomCase == AlgoType.Dynamic) {
if (!set.algo_type_set.dynamic_types.Contains(kv.Value.value.Dynamic.DynamicOrderType))
rv = rv.Remove(kv.Key);
} else if (!set.algo_type_set.factory_types.Contains(kv.Value.value.CustomCase))
rv = rv.Remove(kv.Key);
}
}
}
return rv ?? ImmutableDictionary<AlgoKey, AlgoData>.Empty;
}
}
}
@@ -1,234 +0,0 @@
using bts.api;
using bts.api.core;
using bts.api.orderman;
using bts.utils;
using mbts.spark.utilities;
using mbts.ui.utility;
using mbts.utils;
using System;
using System.Collections.Generic;
using System.Collections.Immutable;
using System.Linq;
using System.Reactive.Linq;
namespace mbts.spark {
interface IAlgoProvider {
AlgoTypeSetImmutable get_permitted_algos(SecurityImmutable security);
AlgoTypeSetImmutable get_permitted_algos(SecurityCriteriaClause clause);
IObservable<TableUpdate<AlgoData, AlgoKey>> subscribe_algos();
IObservable<TableUpdate<AlgoData, AlgoKey>> subscribe_algos(SecurityImmutable security);
IObservable<TableUpdate<AlgoData, AlgoKey>> subscribe_algos(SecurityCriteriaClause clause);
}
// This interface is used to distinguish the attachable algo provider
// from the standard one wrt MEF export/import.
interface IAttachableAlgoProvider : IAlgoProvider { }
class AlgoProvider : IAlgoProvider {
readonly IEnumerable<SecurityAlgoTypeSetImmutable> _security_algo_types;
readonly IAlgoStudioModel _studio_model;
readonly ISecurityAuxiliaryDataModel _security_auxiliary_model;
readonly IObservable<TableUpdate<AlgoData, AlgoKey>> _studio_algos_source;
readonly DynamicOrderHelper _dynamic_helper;
readonly AlgoTypeSetImmutable _full_set;
public AlgoProvider(IEnumerable<SecurityAlgoTypeSetImmutable> algo_sets, IAlgoStudioModel studio_model, DynamicOrderHelper dynamic_helper, ISecurityAuxiliaryDataModel security_auxiliary_model) {
_security_algo_types = algo_sets;
_studio_model = studio_model;
_dynamic_helper = dynamic_helper;
_full_set = new AlgoTypeSetImmutable(
ImmutableHashSet.CreateRange(
EnumHelper.get_values_except(CustomOrderDefinition.CustomOneofCase.None, CustomOrderDefinition.CustomOneofCase.Dynamic, CustomOrderDefinition.CustomOneofCase.Composite)),
ImmutableHashSet.CreateRange(dynamic_helper.dynamic_types));
_security_auxiliary_model = security_auxiliary_model;
/// initialize <see cref="_studio_algos_source"/> with an empty table, so the
/// <see cref="UpdateExtensions.AppendTable{T, TKey}(IObservable{TableUpdate{T, TKey}}, IEnumerable{T})"/>
/// calls made by the 'subscribe_algos' methods will fire at least once, even if the underlying
/// studio algos stream is empty have been created (this would be the case if the user had not yet created any studio algos).
/// <see cref="subscribe_algos"/>,
/// <see cref="subscribe_algos(SecurityCriteriaClause)"/>,
/// <see cref="subscribe_algos(SecurityImmutable)"/>
_studio_algos_source = studio_model.definitions
.StartWith(TableUpdate<AlgoData, AlgoKey>.mk_empty(AlgoData.key_fn))
.Cache();
}
public AlgoTypeSetImmutable get_permitted_algos(SecurityImmutable security) =>
_security_algo_types.Where(p => p.security_criteria.includes(security))
.Select(sec_algos => sec_algos.algo_type_set)
.Aggregate(_full_set, (result, algos) => result.intersect_with(algos));
public AlgoTypeSetImmutable get_permitted_algos(SecurityCriteriaClause clause) =>
_security_algo_types.Where(p => p.security_criteria.is_subset_of(clause))
.Select(sec_algos => sec_algos.algo_type_set)
.Aggregate(_full_set, (result, algos) => result.intersect_with(algos));
public IObservable<TableUpdate<AlgoData, AlgoKey>> subscribe_algos() =>
_studio_algos_source
.AppendTable(_security_algo_types
.Select(s => s.algo_type_set)
.Aggregate(AlgoTypeSetImmutable.empty, (a, b) => a.union_with(b))
.define_algos(_dynamic_helper));
public IObservable<TableUpdate<AlgoData, AlgoKey>> subscribe_algos(SecurityCriteriaClause security_clause) {
var system_algos = _security_algo_types.match_algos(
security_clause,
_dynamic_helper,
def => _fit_to_type(def, security_clause, _security_algo_types));
return _studio_algos_source.Select(
a => (algo: a, fitted_def: _fit_to_type(a.value, security_clause, _security_algo_types)),
tup => tup.algo.key)
.Select(tup => AlgoData.create(tup.fitted_def, tup.algo.name, tup.algo.key), a => a.key)
.AppendTable(system_algos.Values);
}
public IObservable<TableUpdate<AlgoData, AlgoKey>> subscribe_algos(SecurityImmutable security) {
var clause = new SecurityCriteriaClause(
exchanges: new[] { security.Exchange },
security_types: new[] { security.security_type() });
// i.e., non-studio algos
var system_algos = _security_algo_types.match_algos(
clause,
_dynamic_helper,
def => _fit_to_type(def, security, _security_algo_types),
_security_auxiliary_model.get_display_quantity_divisor(security));
return _studio_algos_source.Select(
a => (algo: a, fitted_def: _fit_to_type(a.value, security, _security_algo_types)),
tup => tup.algo.key)
// filter out algos that use an unsupported root, because this would have the effect of duplicating the default algo
// (e.g., GlbxIceberg orders would be converted to Limit/Spreader orders for non-Glbx securities).
.Filter(tup => tup.fitted_def.actual().CustomCase == tup.algo.value.actual().CustomCase, tup => tup.algo.key)
.Select(tup => AlgoData.create(tup.fitted_def, tup.algo.name, tup.algo.key), AlgoData.key_fn)
.AppendTable(system_algos.Values);
}
protected virtual void assign_fallback_algo(CustomOrderDefinition mdef, SecurityCriteriaClause security_clause) {
if (security_clause.security_types.empty_if_null().Contains(Security.ContractOneofCase.Synthetic.security_type())) {
mdef.Spreader = new SpreaderOrderDefinition();
} else {
mdef.Limit = new LimitOrderDefinition();
}
}
protected virtual void assign_fallback_algo(CustomOrderDefinition mdef, SecurityImmutable security) {
if (security.ContractCase == Security.ContractOneofCase.Synthetic) {
mdef.Spreader = new SpreaderOrderDefinition {
Security = security.CloneToMutable()
};
} else {
mdef.Limit = new LimitOrderDefinition();
}
}
CustomOrderDefinitionImmutable _fit_to_type(CustomOrderDefinitionImmutable defi, SecurityCriteriaClause security_clause, IEnumerable<SecurityAlgoTypeSetImmutable> algo_sets) {
var mroot = defi.CloneToMutable();
if (_fit_to_type(mroot, security_clause, algo_sets)) {
defi = new CustomOrderDefinitionImmutable(mroot);
}
return defi;
}
CustomOrderDefinitionImmutable _fit_to_type(CustomOrderDefinitionImmutable defi, SecurityImmutable security, IEnumerable<SecurityAlgoTypeSetImmutable> algo_sets) {
var mroot = defi.CloneToMutable();
if (_fit_to_type(mroot, security, algo_sets)) {
defi = new CustomOrderDefinitionImmutable(mroot);
}
return defi;
}
bool _fit_to_type(CustomOrderDefinition mdef, SecurityCriteriaClause security_clause, IEnumerable<SecurityAlgoTypeSetImmutable> algo_sets) {
while (mdef.CustomCase == CustomOrderDefinition.CustomOneofCase.Composite)
mdef = mdef.Composite.Definition;
var sec_sets = algo_sets.Where(s => security_clause.is_subset_of(s.security_criteria));
if (mdef.CustomCase == CustomOrderDefinition.CustomOneofCase.Dynamic) {
if (!algo_sets.All(s => s.algo_type_set.dynamic_types.Contains(mdef.Dynamic.DynamicOrderType))) {
assign_fallback_algo(mdef, security_clause);
return true;
}
} else if (!sec_sets.All(s => s.algo_type_set.factory_types.Contains(mdef.CustomCase))) {
assign_fallback_algo(mdef, security_clause);
return true;
}
return OrderDataHelper.get_child_algo_data(mdef).Count(cad => _fit_to_type(cad.get_child(mdef), security_clause, algo_sets)) > 0;
}
bool _fit_to_type(CustomOrderDefinition mdef, SecurityImmutable security, IEnumerable<SecurityAlgoTypeSetImmutable> algo_sets) {
while (mdef.CustomCase == CustomOrderDefinition.CustomOneofCase.Composite)
mdef = mdef.Composite.Definition;
var sec_sets = algo_sets.Where(s => s.security_criteria.includes(security));
if (mdef.CustomCase == CustomOrderDefinition.CustomOneofCase.Dynamic) {
if (!sec_sets.All(s => s.algo_type_set.dynamic_types.Contains(mdef.Dynamic.DynamicOrderType))) {
assign_fallback_algo(mdef, security);
return true;
}
} else if (!sec_sets.All(s => s.algo_type_set.factory_types.Contains(mdef.CustomCase))) {
assign_fallback_algo(mdef, security);
return true;
}
return OrderDataHelper.get_child_algo_data(mdef).Count(cad => _fit_to_type(cad.get_child(mdef), security, algo_sets)) > 0;
}
}
class AttachableAlgoProvider : AlgoProvider, IAttachableAlgoProvider {
public AttachableAlgoProvider(IEnumerable<SecurityAlgoTypeSetImmutable> algo_sets, IAlgoStudioModel studio_model, DynamicOrderHelper dynamic_helper, ISecurityAuxiliaryDataModel security_auxiliary_model)
: base(algo_sets, studio_model, dynamic_helper, security_auxiliary_model) { }
// arbitrarily assign LimitOrderDefinition (this is just a placeholder; the real child is the attach target algo).
// Note: although 'None' might seem approrpriate, the server requires a valid definition (perhaps this will change in the future).
protected override void assign_fallback_algo(CustomOrderDefinition mdef, SecurityCriteriaClause security_clause) =>
mdef.Limit = new LimitOrderDefinition();
// arbitrarily assign LimitOrderDefinition (this is just a placeholder; the real child is the attach target algo).
// Note: although 'None' might seem approrpriate, the server requires a valid definition (perhaps this will change in the future).
protected override void assign_fallback_algo(CustomOrderDefinition mdef, SecurityImmutable security) =>
mdef.Limit = new LimitOrderDefinition();
}
static class AlgoProviderExtensions {
// This stream filters out composite algos that are not subsets of the non-composite algo types in the table
// (normally, such composites are 'auto-fit,' meaning the algo nodes that are not part of the set are replaced with ones that are).
// For example, consider a composite algo the following structure: Offset -> GlbxIceberg.
// If an update arrives with these noncomposite types: "Iceberg, Limit, Market," that composite algo is not a subset of the non-composite algo types,
// because GlbxIceberg is not in the table, so it would only be added to the table if/when GlbxIceberg arrives.
public static IObservable<TableUpdate<AlgoData, AlgoKey>> subscribe_complete_algos(this IAlgoProvider algo_provider, bool allow_undefined_child = false) =>
subscribe_complete_algos(algo_provider.subscribe_algos(), allow_undefined_child);
public static IObservable<TableUpdate<AlgoData, AlgoKey>> subscribe_complete_algos(IObservable<TableUpdate<AlgoData, AlgoKey>> source, bool allow_undefined_child = false) =>
Observable.Create<TableUpdate<AlgoData, AlgoKey>>(o => {
var last_out = TableUpdate<AlgoData, AlgoKey>.mk_empty(AlgoData.key_fn);
var incomplete_composites = ImmutableHashSet<AlgoData>.Empty;
return source.Subscribe(table => {
var bd = last_out.to_builder();
foreach (var algo in incomplete_composites.Where(a => _validate_algo_structure(a.value, table.state, allow_undefined_child))) {
incomplete_composites = incomplete_composites.Remove(algo);
bd.add_or_update(algo);
}
foreach (var a in table.removed.Concat(table.changes.Old()))
bd.remove(a.key);
foreach (var a in table.added.Concat(table.changed)) {
if (_validate_algo_structure(a.value, table.state, allow_undefined_child)) {
bd.add_or_update(a);
} else {
incomplete_composites = incomplete_composites.Add(a);
}
}
o.OnNext(last_out = bd.to_table());
});
});
static bool _validate_algo_structure(CustomOrderDefinitionImmutable custom_def, IReadOnlyDictionary<AlgoKey, AlgoData> allowed_algo_parts, bool allow_undefined_child) =>
OrderDataHelper.enumerate_algo_structure(custom_def)
.Select((algo_node, index) =>
// None is an acceptable algo type as long as it's not the root algo (i.e., index > 0)
(index > 0 && allow_undefined_child && algo_node.type == CustomOrderDefinition.CustomOneofCase.None) || _is_part_contained(algo_node, allowed_algo_parts))
.All();
static bool _is_part_contained((CustomOrderDefinition.CustomOneofCase type, string dyn, uint studio_id, uint spreader_sec) structure, IReadOnlyDictionary<AlgoKey, AlgoData> state) =>
structure.type == CustomOrderDefinition.CustomOneofCase.Composite ||
structure.type == CustomOrderDefinition.CustomOneofCase.Dynamic ?
state.ContainsKey(AlgoKey.from_dynamic_type(structure.dyn)) :
state.ContainsKey(AlgoKey.from_known_type(structure.type));
}
}
+4 -15
View File
@@ -70,6 +70,7 @@ namespace mbts.ui.shell
{
Log.Gen.info("Application.OnExit");
if (_runtime != null) _runtime.Dispose();
utils.BTSNativeMethods.finit_spark_lib();
base.OnExit(e);
Environment.Exit(0);
}
@@ -115,7 +116,7 @@ namespace mbts.ui.shell
{
try
{
string path = Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData) + "\\BTS\\stunnel\\";
var path = Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData) + "\\BTS\\stunnel\\";
if (File.Exists(path + "config\\stunnel.conf"))
{
uint job_error = BTSUINativeMethods.setup_process_job_object();
@@ -124,15 +125,6 @@ namespace mbts.ui.shell
kill_stunnel();
start_stunnel(path, job_error);
}
path = AppDomain.CurrentDomain.BaseDirectory + "\\..\\stunnel\\";
if (File.Exists(path + "config\\stunnel.conf"))
{
uint job_error = BTSUINativeMethods.setup_process_job_object();
//if we can't put this process and stunnel into a job, try to stop stunnel then restart
if (job_error != 0)
kill_stunnel();
start_stunnel(path, job_error);
}
}
catch(Exception ex)
{
@@ -145,11 +137,8 @@ namespace mbts.ui.shell
try {
if (argv.Contains("-multiple") || _mutex == null || _mutex.WaitOne(TimeSpan.Zero, true))
{
if(_mutex == null || _mutex.WaitOne(TimeSpan.Zero, true)) {
if (!argv.Contains("-nostunnel")) {
init_stunnel(argv);
}
}
if(_mutex == null || _mutex.WaitOne(TimeSpan.Zero, true))
init_stunnel(argv);
return base.Run();
}
else {
+8 -3
View File
@@ -3,10 +3,15 @@ using mbts;
using mbts.config;
using mbts.spark;
using mbts.ui;
using mbts.ui.shell;
using System;
using System.Collections.Generic;
using System.ComponentModel.Composition;
using System.Diagnostics;
using System.Linq;
using System.Reactive.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows;
using System.Windows.Input;
@@ -18,8 +23,8 @@ namespace bts.ui {
IDisposable _dispose;
[ImportingConstructor]
public AboutDaemon(IBus bus, UserTuple user) {
_user = user.name;
public AboutDaemon(IBus bus, [Import(LoginContainer.Exports.UserName)]string username) {
_user = username;
_bus = bus;
_dispose = bus.subscribe(SparkTags.About).OnDispatcher().Subscribe(_ => show_about());
}
@@ -58,4 +63,4 @@ namespace bts.ui {
Disposable.dispose(ref _dispose);
}
}
}
}
@@ -4,112 +4,43 @@ using mbts;
using mbts.spark;
using mbts.ui;
using System;
using System.Collections.Generic;
using System.Collections.Immutable;
using System.ComponentModel.Composition;
using System.Linq;
using System.Reactive.Linq;
using System.Threading;
using System.Windows;
namespace bts {
[Export, Export(typeof(IShellDaemon))]
class DeleteSyntheticDaemon : IShellDaemon, IDisposable {
// request_id is noted in the series of log messages that occur during a particular delete op.
static int _request_id = 1;
readonly OrdersModel _orders_model;
readonly ErrorReporter _error_reporter;
IReadOnlyDictionary<uint, ExecutionStrategyImmutable> _strategy_map =
DictionaryHelper.empty<uint, ExecutionStrategyImmutable>();
IDisposable _dispose;
[ImportingConstructor]
public DeleteSyntheticDaemon(IBus bus, OrdersModel orders_model, ErrorReporter error_reporter) {
_orders_model = orders_model;
_error_reporter = error_reporter;
_dispose = Disposable.Create(
bus.subscribe(SparkTags.SyntheticDeleteTag).Subscribe(_delete_synthetic),
orders_model.spreader.strategy.Subscribe(map => _strategy_map = map));
_dispose = bus.subscribe(SparkTags.SyntheticDeleteTag)
.OnDispatcher()
.Subscribe(_delete_synthetic);
}
public void Dispose() =>
Disposable.dispose(ref _dispose);
async void _delete_synthetic(IImmutableSet<uint> keys) {
var log = new LoggerContext(Log.Ui, $"Synthetic Delete Req {unchecked(Interlocked.Increment(ref _request_id))} - ", null);
if (keys.is_null_or_empty()) {
log.warn("received empty delete request (no securities specified).");
return;
}
log.info($"received request to delete the following {keys.Count} securities: {string.Join(", ", keys)}");
var (orders, orders_success) = await _orders_model.security_order_groups.FirstAsyncTask(SparkUtils.DefaultTimeOut);
async void _delete_synthetic(uint id) {
var (orders, orders_success) = await _orders_model.on_orders.FirstAsyncTask(SparkUtils.DefaultTimeOut);
if (!orders_success) {
var msg = "Unable to delete synthetic securities: " +
$"timed out waiting for orders table (must verify that a synthetic security does not have any working orders before it can be deleted).";
_error_reporter.report_error(msg);
log.warn(msg);
_error_reporter.report_error($"Unable to delete synthetic security ({id}): unable to determine whether or not security ({id}) has working orders (deletion is not permitted while there are working orders).");
Log.Ui.warn($"Ignoring request to delete synthetic security ({id}) because the orders lookup timed out (must confirm no working orders).");
} else if (orders.state.Values.Any(o => o.order.Def.SecurityKey == id && o.order.is_non_terminal())) {
Log.Ui.warn($"Ignoring request to delete synthetic security ({id}) because non-terminal-orders were detected.");
} else {
var working_orders = new List<uint>();
var missing_strategies = new List<uint>();
var items = new List<(uint key, ExecutionStrategyImmutable strategy)>();
var temp_strats = _strategy_map;
foreach (var k in keys) {
if (orders.state.TryGetValue(k, out var sec_group) && sec_group.table.state.Values.Any(tup => tup.order.is_active())) {
working_orders.Add(k);
} else if (!temp_strats.TryGetValue(k, out var strat)) {
missing_strategies.Add(k);
} else {
items.Add((k, strat.with(deleted: true)));
}
ExecutionStrategyImmutable? strategy = await _orders_model.spreader.lookup_strategy_async(id);
if (strategy.HasValue) {
ExecutionStrategyImmutable deleted_strategy = strategy.Value.with(deleted: true);
await _orders_model.spreader.save_strategy(id, deleted_strategy);
}
var lines = new List<string>();
if (working_orders.Count > 0) {
lines.Add($"skipping {working_orders.Count} securities because they have working orders.");
}
if (missing_strategies.Count > 0) {
lines.Add($"skipping {missing_strategies.Count} securities because their execution strategies were not discovered.");
}
if (lines.Count > 0)
log.warn(string.Join("; ", lines));
var errors = await _orders_model.spreader.save_strategies(items);
int error_count = errors.Count(e => !string.IsNullOrEmpty(e));
log.info($"{items.Count - error_count}/{items.Count} attempted deletes were successful (skipped {working_orders.Count + missing_strategies.Count}).");
// display results to user
const string dialog_title = "Synthetic Deletion";
string display_msg;
MessageBoxImage icon = MessageBoxImage.None;
if (keys.Count > 1) {
if (error_count == 0 && working_orders.Count == 0 && missing_strategies.Count == 0) {
display_msg = $"Synthetic securities have been deleted.";
icon = MessageBoxImage.Information;
} else {
display_msg = $"{keys.Count - error_count - working_orders.Count - missing_strategies.Count}/{keys.Count} securities were successfully deleted.";
icon = MessageBoxImage.Error;
}
} else {
if (error_count == 0 && working_orders.Count == 0 && missing_strategies.Count == 0) {
display_msg = "Synthetic security has been deleted.";
icon = MessageBoxImage.Information;
} else {
string reason;
if (error_count > 0) {
reason = errors[0];
} else if (missing_strategies.Count > 0) {
reason = "did not find execution strategy.";
} else if (working_orders.Count > 0) {
reason = "working orders detected.";
} else {
// unexpected code path
reason = "unknown error.";
}
icon = MessageBoxImage.Error;
display_msg = $"Unable to delete synthetic security: " + reason;
}
}
BTSMessageBox.Show(display_msg, dialog_title, BTSMessageBoxButtons.OK, icon);
}
}
}
}
}
+8 -88
View File
@@ -1,20 +1,19 @@
using bts.api;
using bts.api.core;
using bts.support;
using bts.utils;
using mbts;
using mbts.spark;
using mbts.ui;
using System;
using System.Collections.Generic;
using System.ComponentModel.Composition;
using System.Reactive.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows;
using System.Windows.Threading;
using System.Windows;
using System.Threading.Tasks;
using mbts.ui.shell;
namespace bts.spark {
namespace bts.spark
{
[Export, Export(typeof(IShellDaemon))]
public class ErrorReporter : IShellDaemon, IDisposable {
readonly ErrorReportService _svc;
@@ -22,9 +21,9 @@ namespace bts.spark {
IDisposable _dispose;
[ImportingConstructor]
public ErrorReporter(ErrorReportService svc, IBus bus, UserTuple user) {
public ErrorReporter(ErrorReportService svc, IBus bus, [Import(LoginContainer.Exports.UserName)] string username) {
_svc = svc;
_username = user.name;
_username = username;
_dispose = bus.subscribe(SparkTags.Support).OnDispatcher().Subscribe(msg => show_support_window(msg, "Report a problem"));
}
@@ -49,45 +48,6 @@ namespace bts.spark {
ErrorMessage = message,
});
}
public async Task report_silently(string contact, string description, string userdata) {
var request = append_logs(new ErrorReport {
User = _username,
ErrorMessage = description,
UserDescription = userdata,
Contact = contact
}.immutable());
var reply = await _svc.send_report_async(request);
}
public static ErrorReportImmutable append_logs(ErrorReportImmutable src) {
var result = src.CloneToMutable();
var windows_log = LogUtil.read_windows_event_log();
if (!windows_log.IsEmpty) {
result.Files.Add(new FileData {
Name = "Application.evtx.gz",
Contents = windows_log
});
}
var (data,date) = LogUtil.read_latest_crash_dump();
if (!data.IsEmpty) {
result.Files.Add(new FileData {
Name = $"spark-{date.ToString("s")}.dmp.gz",
Contents = data
});
}
var spark_log = LogUtil.read_logs_compressed();
if (!spark_log.IsEmpty) {
result.Files.Add(new FileData {
Name = "log.gz",
Contents = spark_log
});
}
return result.immutable();
}
}
static class ErrorReporterExtensions {
@@ -167,45 +127,5 @@ namespace bts.spark {
void _report_error(string msg) =>
error_reporter.report_error($"Error {desc}: {msg}", AlgoStudioWindow.NAME, MessageBoxImage.Warning);
}
public static async Task<(TResult result, string error_msg)[]> safe_execute_batch<T, TResult>(
this ErrorReporter error_reporter,
IEnumerable<Task<T>> execute,
Func<T, (TResult result, string error_msg)> result_selector,
string desc,
string title) {
//
try {
var results = await Task.WhenAll(execute as Task<T>[] ?? ArrayHelper.clone_optimized(execute));
var result_values = new (TResult, string)[results.Length];
StringBuilder error_bd = null;
for (int i = 0; i < results.Length; i++) {
var r = results[i];
var (result, error) = result_selector(r);
if (!string.IsNullOrEmpty(error)) {
if (error_bd == null) {
error_bd = new StringBuilder();
} else {
error_bd.AppendLine();
}
error_bd.Append(error);
}
result_values[i] = (result, error);
}
if (error_bd != null) {
var error_msg = error_bd.ToString();
if (!string.IsNullOrEmpty(error_msg))
_report_error(error_msg);
}
return result_values;
}
catch (Exception ex) {
_report_error(ex.ToString());
}
return null;
//
void _report_error(string msg) =>
error_reporter.report_error($"Error {desc}: {msg}", title, MessageBoxImage.Warning);
}
}
}
}
@@ -1,68 +0,0 @@
using bts.api;
using bts.shell;
using mbts;
using mbts.persist;
using mbts.spark;
using mbts.ui;
using mbts.ui.spark;
using mbts.ui.utilities;
using System;
using System.ComponentModel.Composition;
using System.Linq;
using System.Reactive.Disposables;
using System.Reactive.Linq;
using System.Windows;
using Disposable = mbts.Disposable;
namespace bts {
[Export(typeof(IShellDaemon))]
class GlobalAlertsDaemon : IShellDaemon, IDisposable {
const string
// used for logging/diagnostic purposes
_window_name = "Global Alerts Dialog",
// actual window title
_window_title = "Alerts";
readonly ThreadedWindowLauncher _launcher;
readonly UserSettingsHub _hub;
readonly IBus _bus;
readonly INotificationService _notification_service;
IDisposable _dispose;
[ImportingConstructor]
public GlobalAlertsDaemon(IBus bus, UserSettingsHub hub, INotificationService notification_service) {
_bus = bus;
_hub = hub;
_notification_service = notification_service;
_launcher = new ThreadedWindowLauncher(_window_name);
_dispose = Disposable.Create(
bus.subscribe(SparkTags.ShowGlobalAlertsTag)
.Subscribe(_ => _launcher.show(_view_factory)),
_hub.subscribe_default_settings()
.SubscribeEach(s => new CompositeDisposable(
s.alerts.trade_alerts.Where(t => t.is_enabled).Select(
a => _notification_service.link_to_trades(
a.predicate.security_criteria, a.predicate.create(), a.sound)))));
}
Window _view_factory() {
var vm = new GlobalAlertsVM();
vm.load_from(_hub.current.alerts);
vm.request_commit += commit;
var sec_sub = _bus.subscribe(SparkTags.SecuritiesTag).OnDispatcher().Subscribe(m => vm.security_map = m);
var win = new GlobalAlertsDialog {
Title = "Alerts",
DataContext = vm
};
win.Closed += (s, e) => Disposable.dispose(ref sec_sub);
return win;
void commit() {
var s = _hub.current.with(alerts: vm.create());
_hub.save_default(s).ignore();
}
}
public void Dispose() =>
Disposable.dispose(ref _dispose);
}
}
+23 -15
View File
@@ -1,6 +1,5 @@
using bts.api;
using bts.api.synthetic;
using bts.md;
using mbts;
using mbts.co2;
using mbts.spark;
@@ -8,10 +7,15 @@ using mbts.ui;
using System;
using System.Collections.Generic;
using System.ComponentModel.Composition;
using System.Linq;
using System.Reactive.Linq;
using System.Threading.Tasks;
using System.Linq;
using SecurityKey = System.UInt32;
using System.Collections.Concurrent;
using System.Threading;
using bts.api.user;
using bts.md;
using mbts.ui.shell;
namespace bts {
[Export(typeof(IInitializable))]
@@ -21,25 +25,21 @@ namespace bts {
readonly Lazy<SyntheticSecurityService> _ss;
readonly Dictionary<SecurityKey, SecurityMD> _deleted_synthetics = new Dictionary<SecurityKey, SecurityMD>();
static uint get_naggle() => mbts.config.Configuration.get<md.RelayOptions>().naggle_ms;
[ImportingConstructor]
public MDDaemon(Lazy<IBus> bus, Lazy<AuthTokenImmutable> token, Lazy<SyntheticSecurityService> ss, UserTuple user)
: base(mbts.config.Configuration.get<md.RelayOptions>().naggle_ms, MDSourceOptions.DeferInit, user) {
public MDDaemon(Lazy<IBus> bus, Lazy<AuthTokenImmutable> token, Lazy<SyntheticSecurityService> ss, [Import(LoginContainer.Exports.UserID)]uint user_id) :
base(get_naggle(), MDSourceOptions.DeferInit, user_id) {
_bus = bus;
_token = token;
_ss = ss;
_ss = ss;
}
public int priority => 55;
[Export]
MDConsumer consumer => _consumer;
IBus bus => _bus.Value;
public override void initialize() {
override public void initialize() {
_relay.set_token(_token.Value);
_dispose.Add(
_ss.Value.subscribei_metadata()
.Select(upd => upd.all.Where(i => i.HasStrategy).ToDictionary(i => i.SecurityKey, i => i.Strategy))
.Select(upd => upd.all.ToDictionary(i => i.SecurityKey, i => i.Strategy))
.Subscribe(t => {
var deleted_synthetic_keys = new HashSet<uint>(t.Where(kv => kv.Value.Deleted).Select(kv => kv.Key));
// add back 'undeleted' synthetics
@@ -60,8 +60,16 @@ namespace bts {
// Post full dictionary of syntheics here
bus.post(SparkTags.SyntheticstrategiesTag, t);
}));
_dispose.Add(on_securities.Subscribe(md => bus.post(SparkTags.SecuritiesTag, md)));
_dispose.Add( this.on_securities.Subscribe( (md) => {
bus.post(SparkTags.SecuritiesTag, md);
}));
Task.Run(run);
}
[Export]
MDConsumer consumer => _consumer;
public int priority => 55;
IBus bus => _bus.Value;
}
}
}
-55
View File
@@ -1,55 +0,0 @@
using System;
using System.ComponentModel.Composition;
using mbts.ui;
using mbts;
using Newtonsoft.Json;
using System.Threading.Tasks;
namespace bts.spark {
[Export(typeof(IShellDaemon))]
class OopsDaemon : IShellDaemon, IDisposable {
[ImportingConstructor]
public OopsDaemon(ErrorReporter e) {
var pid = get_pid();
if (pid.HasValue) {
handle_unclean_shutdown(e, pid.Value);
}
save_pid();
}
public void Dispose() {
clear_pid();
}
void handle_unclean_shutdown(ErrorReporter e, int oldpid) {
string extra = "";
try {
var conf = mbts.config.Configuration.get<bts.config.System>();
extra = JsonConvert.SerializeObject(conf, Formatting.Indented);
}
catch { }
Task.Run(() => e.report_silently(
$"Host: {Environment.MachineName}",
$"pid: {oldpid}\n{extra}",
"Automated crash report")
);
}
const string _subkey = @"Software\BTS";
private void save_pid() {
using (var key = Microsoft.Win32.Registry.CurrentUser.CreateSubKey(_subkey)) {
key.SetValue("pid", System.Diagnostics.Process.GetCurrentProcess().Id, Microsoft.Win32.RegistryValueKind.DWord);
}
}
private void clear_pid() {
using (var key = Microsoft.Win32.Registry.CurrentUser.CreateSubKey(_subkey)) {
key.DeleteValue("pid",false);
}
}
private int? get_pid() {
using (var key = Microsoft.Win32.Registry.CurrentUser.CreateSubKey(_subkey)) {
return key.GetValue("pid") as int?;
}
}
}
}
+4 -28
View File
@@ -3,13 +3,11 @@ using bts.api.core;
using bts.api.orderman;
using bts.spark;
using mbts;
using mbts.config;
using mbts.spark;
using mbts.ui;
using mbts.ui.spark;
using System;
using System.Collections.Generic;
using System.Collections.Immutable;
using System.ComponentModel.Composition;
using System.Reactive.Linq;
using System.Windows;
@@ -21,26 +19,20 @@ namespace bts.shell {
readonly IBus _bus;
readonly OrdersModel _model;
readonly ErrorReporter _error_reporter;
readonly bool _close_on_send;
IReadOnlyDictionary<uint, SecurityMD> _md_map;
TableUpdate<(SecurityImmutable? sec, OrderRecordImmutable order), uint> _orders;
IDisposable _dispose;
[ImportingConstructor]
public OrderTicketDaemon(IBus bus, OrdersModel model, ErrorReporter error_reporter)
: this(bus, model, error_reporter, Configuration.get<bts.config.OrderTicketOptions>().close_on_send) { }
public OrderTicketDaemon(IBus bus, OrdersModel model, ErrorReporter error_reporter, bool close_on_send) {
public OrderTicketDaemon(IBus bus, OrdersModel model, ErrorReporter error_reporter) {
_bus = bus;
_model = model;
_error_reporter = error_reporter;
_close_on_send = close_on_send;
_dispose = Disposable.Create(
model.on_orders.OnDispatcher().Subscribe(o => _orders = o),
bus.subscribe(SparkTags.SecuritiesTag).OnDispatcher().Subscribe(m =>_md_map = m),
bus.subscribe(SparkTags.ShowOrderTicketFromSecurityTag).OnDispatcher().Subscribe(_show_order_ticket),
bus.subscribe(SparkTags.ShowOrderTicketTag).OnDispatcher().Subscribe(_show_order_ticket),
bus.subscribe(SparkTags.ShowOrderTicketAutoLookupTag).Subscribe(_show_order_tickets),
bus.subscribe(SparkTags.ShowModifyOrderTag).OnDispatcher().Subscribe(_show_modify_order)
);
}
@@ -51,39 +43,23 @@ namespace bts.shell {
void _show_order_window(Window window) {
foreach (var kv in AlgoStudioModelUtils.get_dynamic_resources(_model.algo_model.ui_configuration))
window.Resources[kv.Key] = kv.Value;
// the dynamic algo 'SecurityKey' template has a ContractPickerPopup that expects the security map to be available as a DynamicResource.
var sub = _bus.subscribe(SparkTags.SecuritiesTag)
.OnDispatcher()
.Subscribe(sec_map => window.Resources[ResourceKeys.Securities] = sec_map);
window.Closed += (s, e) => Disposable.dispose(ref sub);
window.Show(-200, -160, true);
}
void _show_order_ticket(SecurityMD smd) =>
_show_order_window(new OrderTicket {
DataContext = new NewOrderTicketVM(_model, smd,
Observable.Return(LadderSettings.Default)) {
close_on_send = _close_on_send
}
Observable.Return(LadderSettings.Default))
});
void _show_order_ticket((OrderDefinitionImmutable def, double price, uint size) ops) {
if (_md_map.TryGetValue(ops.def.SecurityKey, out SecurityMD smd))
_show_order_window(new OrderTicket {
DataContext = new NewOrderTicketVM(_model, smd, ops.def, ops.price, ops.size,
Observable.Return(LadderSettings.Default.calculator_buttons)) {
close_on_send = _close_on_send
}
Observable.Return(LadderSettings.Default.calculator_buttons))
});
}
void _show_order_tickets(IImmutableSet<uint> securities) {
foreach (var id in securities.empty_if_null()) {
if (_md_map.TryGetValue(id, out var smd))
_show_order_ticket(smd);
}
}
void _show_modify_order(uint order_key) {
if (_orders.state.TryGetValue(order_key, out var ori) && ori.sec.HasValue
&& (ori.order.HasDef && ori.order.Def.HasCustomDef && !(ori.order.Def.CustomDef.HasStop || ori.order.Def.CustomDef.HasStopLimit))) {
@@ -97,4 +73,4 @@ namespace bts.shell {
}
}
}
}
}
@@ -3,13 +3,17 @@ using bts.metrics;
using mbts;
using mbts.config;
using mbts.ui;
using mbts.ui.shell;
using System;
using System.Collections.Generic;
using System.ComponentModel.Composition;
using System.Linq;
using System.Net.NetworkInformation;
using System.Text;
using System.Threading.Tasks;
namespace bts.perf {
[Export, Export(typeof(IShellDaemon))]
class ShellLatencyDaemon : IShellDaemon, IDisposable {
readonly ShellLatencyService _service;
@@ -20,10 +24,10 @@ namespace bts.perf {
Ping _pinger = new Ping();
[ImportingConstructor]
public ShellLatencyDaemon(ShellLatencyService service, UserTuple user) {
public ShellLatencyDaemon(ShellLatencyService service, [Import(LoginContainer.Exports.UserName)] string user) {
_service = service;
_version = Configuration.get<bts.config.System>().version;
_username = user.name;
_username = user;
_hostname = Environment.MachineName;
_forever_ping_host(_pinger);
@@ -101,4 +105,4 @@ namespace bts.perf {
Disposable.dispose(ref _subs);
}
}
}
}
+31 -2
View File
@@ -2,7 +2,6 @@
using bts.api.core;
using bts.api.md.auxiliary;
using bts.api.orderman;
using bts.api.orderman.algo;
using bts.api.persistence;
using bts.api.position;
using bts.api.synthetic;
@@ -46,11 +45,41 @@ namespace Spark {
[Export]
public MarketDataRelay md_replay => context.locate<MarketDataRelay>();
//[Export]
//public AlgoService algo_service => context.locate<AlgoService>();
AlgoServiceWrapper _algo_service_wrapper;
[Export]
public AlgoDefinitionService algo_definition_service => context.locate<AlgoDefinitionService>();
public AlgoServiceWrapper algo_service_wrapper => _algo_service_wrapper ?? (_algo_service_wrapper = new AlgoServiceWrapper(context));
[Export]
public MBOService mbo_service => context.locate<MBOService>();
}
class AlgoServiceWrapper {
public enum Mode {
None,
Hierarchical,
Flat
}
public AlgoServiceWrapper(ServiceContext context) {
var flat_model_options = mbts.config.Configuration.get<bts.config.AlgoStudioFlatDefinitionModelOptions>();
if (flat_model_options.enabled) {
flat = context.locate<bts.api.orderman.algo.AlgoDefinitionService>();
} else {
hierarhical = context.locate<AlgoService>();
}
}
public AlgoService hierarhical { get; }
public bts.api.orderman.algo.AlgoDefinitionService flat { get; }
public Mode mode {
get {
if (hierarhical != null) return Mode.Hierarchical;
if (flat != null) return Mode.Flat;
return Mode.None;
}
}
}
}
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