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backtesting-trading-strategies
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🔎 📈 🐍 💰 Backtest trading strategies in Python.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit
Quantitative analysis, strategies and backtests
Software designed to identify and monitor social/historical cues for short term stock movement
📈 Get real-time stocks from TradingView
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Python Crypto Bot (PyCryptoBot)
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Open-source Rust framework for building event-driven live-trading & backtesting systems
Algorithmic trading framework for cryptocurrencies.
A nimble options backtesting library for Python
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Scalable, event-driven, deep-learning-friendly backtesting library
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.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Crypto trading bot using Binance API (Java)
An API for backtesting trading strategies in JavaScript and TypeScript.
Option and stock backtester / live trader