A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
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Updated
May 26, 2024 - Jupyter Notebook
A simple lightweight trading framework compatible with Stock, Forex, Crypto... markets
Open source crypto trading bot
Portfolio balance computation and backtesting
A Python-based stock screener for NSE, India. pkscreener is an advanced stock screener to find potential breakout stocks from NSE and tell it's 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.
An Algo-Trading Framework powered by Machine Learning & Data Engineering, TradFi+CeFi+DeFi ready. Supports Vectorized and Event-Driven Backtesting, Paper and Live Trading
Roboquant is a fast, flexible, user-friendly and completely free algorithmic trading platform
End of Day historical data for NSE stocks in csv format. Updated weekly.
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
Professional Backtesting Engine for crypto, stocks and forex
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Constituent history of the S&P 500 from various data sources
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Official pool of Algorithmic Trading Strategies powered by the AlgoBulls Platform
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.
Cryptocurrency trading bot, and backtesting framework in julia
请访问 😄www.jieyu.ai和公众号🫶量化风云
Portfolio Management with R: Backtesting investment and trading strategies, computing profit-and-loss and returns, reporting, and more.
Simple and intuitive Python framework for algorithmic trading. Easily create bots to live and paper trade stocks, crypto, and options!
Better backtest toolkit for Uniswap v3 and Aave.
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