PyAlgoTrade - Python Algorithmic Trading Library

•    Python

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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.

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

•    Python

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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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Zipline - A Pythonic Algorithmic Trading Library

•    Python

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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.

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

•    Javascript

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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.

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

•    Python

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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.

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Lean - Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

•    CSharp

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Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage. It was designed in Mono and operates in Windows, Linux and Mac platforms. Lean drives the web based algorithmic trading platform QuantConnect.Handle all messages from the algorithmic trading engine. Decide what should be sent, and where the messages should go. The result processing system can send messages to a local GUI, or the web interface.

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

•    CSharp

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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).

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

•    Javascript

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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.

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MyOpenTrader - Complex-event based trading engine

•    Java

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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.

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Clairvoyant - Software designed to identify and monitor social/historical cues for short term stock movement

•    Python

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Using stock historical data, train a supervised learning algorithm with any combination of financial indicators. Rapidly backtest your model for accuracy and simulate investment portfolio performance.During the testing period, the model signals to buy or sell based on its prediction for price movement the following day. By putting your trading algorithm aside and testing for signal accuracy alone, you can rapidly build and test more reliable models.

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BitBot - BitBot is a Crypto-Currency trading bot and backtesting platform written in Node.JS

•    Javascript

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BitBot is a Crypto-Currency trading bot and backtesting platform that connects to popular Bitcoin exchanges (Bitstamp, Kraken). It is written in javascript and runs on Node.JS. BitBot is modular and supports multiple trading strategies / exchanges.

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qsforex - QuantStart Forex Backtesting and Live Trading

•    Python

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QSForex is an open-source event-driven backtesting and live trading platform for use in the foreign exchange ("forex") markets, currently in an "alpha" state. It has been created as part of the Forex Trading Diary series on QuantStart.com to provide the systematic trading community with a robust trading engine that allows straightforward forex strategy implementation and testing.

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

•    Javascript

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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.

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

•    C++

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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.

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Ta4j - Technical Analysis for Java

•    Java

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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.).

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

•    TypeScript

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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.

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algo-coin - Algorithmic trading cryptocurrencies across multiple exchanges

•    Javascript

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Algorithmic Trading Bitcoin. Lightweight, extensible program for algorithmically trading cryptocurrencies and derivatives across multiple exchanges.

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qstrader - QuantStart.com - Advanced Trading Infrastructure

•    Python

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We are pleased to announce that the QuantStart software development team are currently in the process of a complete redevelopment of QSTrader. The new version will be an end-to-end quantitative trading simulation and live trading engine, rather than the current version which is limited to event-driven backtesting.

Deep-Trading - Algorithmic trading with deep learning experiments

•    OpenEdge

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Algorithmic trading with deep learning experiments. Now released part one - simple time series forecasting. I plan to implement more sophisticated algorithms and their ensembles with different features, check their performance, train a trading strategy and go live.

Marketstore - DataFrame Server for Financial Timeseries Data

•    Go

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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.

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