Community version of quantitative backtesting framework
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Updated
Jun 10, 2024 - Python
Community version of quantitative backtesting framework
Professional Backtesting Engine for crypto, stocks and forex
Fast minimalist backtesting, sympathetic to the quant process.
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
Constituent history of the S&P 500 from various data sources
A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
The quickest way to test and improve your trading strategies
Personal python toolkit for backtesting trading strategies on NSE
Open source crypto trading bot
End of Day historical data for NSE stocks in csv format. Updated weekly.
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the stocks which are consolidating and may breakout, or the particular chart patterns that you're looking specifically to make your decisions.
Cryptocurrency trading bot, and backtesting framework in julia
Portfolio balance computation and backtesting
Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]
Python Backtesting library for trading strategies
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.
An Algo-Trading Framework powered by Machine Learning & Data Engineering, TradFi+CeFi+DeFi ready. Supports Vectorized and Event-Driven Backtesting, Paper and Live Trading
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