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StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options)

  •    CSharp

StockSharp (shortly S#) – are free set of programs for trading at any markets of the world (American, European, Asian, Russian, stocks, futures, options, Bitcoins, forex, etc.). You will be able to trade manually or automated trading (algorithmic trading robots, conventional or HFT).Available connections: FIX/FAST, LMAX, Rithmic, Fusion/Blackwood, Interactive Brokers, OpenECry, Sterling, IQFeed, ITCH, FXCM, QuantHouse, E*Trade, BTCE, BitStamp and many other. Any broker or partner broker (benefits).

gekko - A bitcoin trading bot written in node - https://gekko.wizb.it/

  •    Javascript

The most valuable commodity I know of is information.Gekko is a Bitcoin TA trading and backtesting platform that connects to popular Bitcoin exchanges. It is written in javascript and runs on nodejs.

tribeca - A high frequency, market making cryptocurrency trading platform in node.js

  •    TypeScript

tribeca is a very low latency cryptocurrency market making trading bot with a full featured web client, backtester, and supports direct connectivity to several cryptocoin exchanges. On modern hardware, it can react to market data by placing and canceling orders in under a millisecond. Runs on the latest node.js (v7.8 or greater). Persistence is acheived using mongodb. Installation is recommended via Docker, but manual installation is also supported.

Zipline - A Pythonic Algorithmic Trading Library

  •    Python

Zipline is a Pythonic algorithmic trading library. It is an event-driven system that supports both backtesting and live-trading. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies.Note: Installing Zipline via pip is slightly more involved than the average Python package. Simply running pip install zipline will likely fail if you've never installed any scientific Python packages before.




vnpy - 基于python的开源量化交易平台开发框架

  •    C++

基于python的开源量化交易平台开发框架

catalyst - An Algorithmic Trading Library for Crypto-Assets in Python

  •    Python

Catalyst is an algorithmic trading library for crypto-assets written in Python. It allows trading strategies to be easily expressed and backtested against historical data (with daily and minute resolution), providing analytics and insights regarding a particular strategy's performance. Catalyst also supports live-trading of crypto-assets starting with four exchanges (Binance, Bitfinex, Bittrex, and Poloniex) with more being added over time. Catalyst empowers users to share and curate data and build profitable, data-driven investment strategies. Please visit catalystcrypto.io to learn more about Catalyst. Catalyst builds on top of the well-established Zipline project. We did our best to minimize structural changes to the general API to maximize compatibility with existing trading algorithms, developer knowledge, and tutorials. Join us on the Catalyst Forum for questions around Catalyst, algorithmic trading and technical support. We also have a Discord group with the #catalyst_dev and #catalyst_setup dedicated channels.

CCXT - A JavaScript / Python / PHP cryptocurrency trading library with support for more than 100 bitcoin/altcoin exchanges

  •    Javascript

CCXT – CryptoCurrency eXchange Trading Library. A JavaScript / Python / PHP library for cryptocurrency trading and e-commerce with support for many bitcoin/ether/altcoin exchange markets and merchant APIs. The CCXT library is used to connect and trade with cryptocurrency / altcoin exchanges and payment processing services worldwide. It provides quick access to market data for storage, analysis, visualization, indicator development, algorithmic trading, strategy backtesting, bot programming, webshop integration and related software engineering.

Pyfolio - Portfolio and risk analytics in Python

  •    Python

pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipline open source backtesting library.Also see slides of a talk about pyfolio.


Krypto-trading-bot - Self-hosted crypto trading bot (automated high frequency market making) in node

  •    C++

K.sh is a very low latency market making trading bot with a full featured web interface, it directly connects to several cryptocoin exchanges. On a decent machine reacts to market data by placing and canceling orders in under milliseconds.

crypto-trader - :moneybag: Cryptocurrency trading bot library with a simple example strategy (trading via Gemini)

  •    Python

💰 Python bindings for trading Bitcoin, Ethereum, & USD on the Gemini.com Exchange API. All currency symbols are based on the base type symbols.Currency.

Personae - 📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading

  •    Python

Personae is a repo that implements papers proposed methods in Deep Reinforcement Learning & Supervised Learning and applies them to Financial Market. It will start from 2018-08-24 to 2018-09-01 a timestamp that I successfully found a job.

erc20-ico-onchain-technical-analysis - An tool to analyze any company's ICO

  •    Python

An tool to analyze any company's ICO

Ta4j - Technical Analysis for Java

  •    Java

Ta4j is an open source Java library for technical analysis. It provides the basic components for creation, evaluation and execution of trading strategies. It is a powerful engine for building custom trading strategies. It supports more than 130 technical indicators (Aroon, ATR, moving averages, parabolic SAR, RSI, etc.).

PyAlgoTrade - Python Algorithmic Trading Library

  •    Python

PyAlgoTrade is a Python Algorithmic Trading Library with focus on backtesting and support for paper-trading and live-trading. Let’s say you have an idea for a trading strategy and you’d like to evaluate it with historical data and see how it behaves. PyAlgoTrade allows you to do so with minimal effort.

gdax-python - The unofficial Python client for the GDAX API

  •    Python

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.This README is documentation on the syntax of the python client presented in this repository. See function docstrings for full syntax details. This API attempts to present a clean interface to GDAX, but in order to use it to its full potential, you must familiarize yourself with the official GDAX documentation.

Marketstore - DataFrame Server for Financial Timeseries Data

  •    Go

MarketStore is a database server optimized for financial timeseries data. You can think of it as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability. It is designed from the ground up to address scalability issues around handling large amounts of financial market data used in algorithmic trading backtesting, charting, and analyzing price history with data spanning many years, including tick-level for the all US equities or the exploding crypto currencies space. If you are struggling with managing lots of HDF5 files, this is perfect solution to your problem.

robinhood-node - :chart_with_upwards_trend: NodeJS client for Robinhood Trading

  •    Javascript

NodeJS Framework to make trades with the private Robinhood API. Using this API is not encouraged, since it's not officially available and it has been reverse engineered. See @Sanko's Unofficial Documentation for more information. Tested on the latest versions of Node 6, 7 & 8.

Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.

  •    Javascript

Gekko Trading Bot. Repository of strategies which I found at Git and Google, orginal source is in README or .js file. Strategies was backtested, results are in backtest_database.csv file. I used ForksScraper and Gekko BacktestTool to create content of this repository.

MyOpenTrader - Complex-event based trading engine

  •    Java

MyOpenTrader is (yet another) a complex-event based open-source trading-engine. It is built from ground up as a parallel computing engine, which allows to do large scale parallel backtesting. It really helps if you have an active Interactive Broker Account and want to automate some of your trading.

NowTrade - Algorithmic trading library with a focus on creating powerful strategies

  •    Python

NowTrade is an algorithmic trading library with a focus on creating powerful strategies using easily-readable and simple Python code. With the help of NowTrade, full blown stock/currency trading strategies, harnessing the power of machine learning, can be implemented with few lines of code. NowTrade strategies are not event driven like most other algorithmic trading libraries available. The strategies are implemented in a sequential manner (one line at a time) without worrying about events, callbacks, or object overloading.

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