Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
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Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Python toolkit for quantitative finance
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
modular quant framework.
A Java library for technical analysis.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Strategies to Gekko trading bot with backtests results and some useful tools.
Scalable, event-driven, deep-learning-friendly backtesting library
Technical Analysis Library for Golang
Create your Java crypto trading bot in minutes. Our Spring boot starter takes care of exchange connections, accounts, orders, trades, and positions so you can focus on building your strategies.
Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.
PolyTutor overview of Polymarket trading bots: strategy guides (copy trading, market making, dump-hedge, last-seconds, sports), case studies, and engineering notes. Smart trading. Real edge.
Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.
My algorithmic trading strategies with the Gekko cryptocurrency trading bot.