🔎 📈 🐍 💰 Backtest trading strategies in Python.
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Updated
Aug 6, 2024 - Python
🔎 📈 🐍 💰 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
Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
Python Crypto Bot (PyCryptoBot)
Quantitative analysis, strategies and backtests
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
📈 Get real-time stocks from TradingView
Algorithmic trading framework for cryptocurrencies.
Scalable, event-driven, deep-learning-friendly backtesting library
A nimble options backtesting library for Python
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Open-source Rust framework for building event-driven live-trading & backtesting systems
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
Crypto trading bot using Binance API (Java)
An API for backtesting trading strategies in JavaScript and TypeScript.
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.
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