backtesting-trading-strategies

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

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

Python Crypto Bot (PyCryptoBot)

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Quantitative analysis, strategies and backtests

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Scalable, event-driven, deep-learning-friendly backtesting library

Algorithmic trading framework for cryptocurrencies.

A nimble options backtesting library for Python

📈 Get real-time stocks from Tradingview

Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more

Crypto trading bot using Binance API (Java)

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.

Backtest and live trading in Python

An API for backtesting trading strategies in JavaScript and TypeScript.

Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.

Open-source Rust framework for building event-driven live-trading & backtesting systems

Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.

Quantitative systematic trading strategy development and backtesting in Julia