Awesome Trading Tools

Open-source libraries, bots, backtesters, data tools and AI agents for trading stocks, futures, forex and crypto. Every entry shows its license.

This list is a software index, not financial advice. Trading can lose all your money.

Rules of this list: every repo exists, is public, is not archived, states a license and has had a commit in the last year. One plain sentence each. Star counts and claims are the authors' own, we did not test every tool. Checked 2026-10-18. See CONTRIBUTING.md.

Contents

• Trading bots and frameworks
• Backtesting and research
• Exchange and broker libraries
• Market data and downloaders
• Technical analysis and indicators
• Portfolio, risk and performance
• Machine learning and AI for trading
• Research platforms and terminals
• Crypto, DeFi and on-chain
• How to choose
• Contributing

Trading bots and frameworks

Run strategies live or on paper, with exchange connections built in.

• coding-kitties/investing-algorithm-framework - Framework for quantitative trading. (Apache-2.0)
• Drakkar-Software/OctoBot - Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges. (GPL-3.0)
• fabston/TradingView-Webhook-Bot - Forward TradingView alerts to Telegram, Discord, Slack and email. (MIT)
• freqtrade/freqtrade - Free, open source crypto trading bot. (GPL-3.0)
• freqtrade/freqtrade-strategies - Sample strategies for Freqtrade. For learning, not a promise of profit. (GPL-3.0)
• Haehnchen/crypto-trading-bot - Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance, Bybit. (MIT)
• hummingbot/hummingbot - Open-source framework for market making and automated trading bots on crypto exchanges. (Apache-2.0)
• iterativv/NostalgiaForInfinity - Large community strategy for the Freqtrade bot. (GPL-3.0)
• jesse-ai/jesse - An advanced crypto trading bot written in Python. (MIT)
• Lumiwealth/lumibot - Python library for backtesting and live trading of stocks, options, crypto and futures with several brokers. (GPL-3.0)
• nautechsystems/nautilus_trader - Production-grade Rust-native trading engine with deterministic event-driven architecture. (LGPL-3.0)
• QuantConnect/Lean - Event-driven trading engine in C# and Python for research, backtesting and live trading. (Apache-2.0)
• Superalgos/Superalgos - Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. (Apache-2.0)
• vnpy/vnpy - Python framework for building quant trading systems, popular in Asian markets. (MIT)

Backtesting and research

Test an idea on past data before you risk money.

• cuemacro/finmarketpy - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians). (Apache-2.0)
• fasiondog/hikyuu - An open-source, high-performance quantitative trading framework in C++/Python focused on strategy analysis. (Apache-2.0)
• fbertram/TuringTrader - The Open-Source Backtesting Engine/ Trading Simulator by Bertram Enterprises. (AGPL-3.0)
• kernc/backtesting.py - Small Python library for backtesting trading strategies with a simple API. (AGPL-3.0)
• nkaz001/hftbacktest - Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders. (MIT)
• pmorissette/bt - Flexible Python backtesting framework for portfolio strategies. (MIT)
• polakowo/vectorbt - Fast Python library for testing many strategies at once with vectorized backtests. (check repo)
• stefan-jansen/zipline-reloaded - Maintained fork of the Zipline backtesting engine. (Apache-2.0)

Exchange and broker libraries

Unified APIs for exchanges and brokers.

• alpacahq/alpaca-py - Official Python SDK for Alpaca stock and crypto trading and market data. (Apache-2.0)
• ccxt/ccxt - Unified API for more than 100 crypto exchanges, in JavaScript, Python, PHP, C# and Go. (MIT)
• ib-api-reloaded/ib_async - Python framework for Interactive Brokers, successor to ib_insync. (BSD-2-Clause)
• JKorf/Binance.Net - C#/.NET client library for the Binance.com cryptocurrency exchange REST and WebSocket APIs, supporting Spot and Futures trading. (MIT)
• JKorf/CryptoExchange.Net - Base library for building clients for crypto exchange APIs in .NET. (MIT)
• pmxt-dev/pmxt - CCXT for prediction markets. PMXT is a unified API for trading on Polymarket, Kalshi, and more. (MIT)
• sammchardy/python-binance - Python wrapper for the Binance exchange REST and WebSocket APIs. (MIT)
• tardis-dev/tardis-node - Convenient access to tick-level real-time and historical cryptocurrency market data via Node.js. (MPL-2.0)

Market data and downloaders

Prices, fundamentals, order books and on-chain data.

• defeat-beta/defeatbeta-api - An open-source alternative to Yahoo Finance's market data APIs with higher reliability. (Apache-2.0)
• JerBouma/FinanceDatabase - Database of financial symbols and categories for equities, ETFs, funds and more. (MIT)
• JerBouma/FinanceToolkit - Transparent and Efficient Financial Analysis. (MIT)
• openbq-org/OpenBB - Open data platform for analysts, quants and AI agents, with many data sources behind one interface. (check repo)
• pydata/pandas-datareader - Pull remote data sources such as FRED into pandas. (check repo)
• questdb/questdb - Fast open-source time-series database, often used for tick and market data. (Apache-2.0)
• ranaroussi/yfinance - Download Yahoo Finance market data in Python. For personal use, check Yahoo's terms. (Apache-2.0)

Technical analysis and indicators

Indicator libraries and charting.

• bukosabino/ta - Technical Analysis Library using Pandas and Numpy. (MIT)
• cinar/indicator - High-performance technical analysis indicators and backtesting framework in Go. (AGPL-3.0)
• TA-Lib/ta-lib - Technical analysis library: indicators and candlestick patterns, batch and streaming, native in C, Rust, Java, C#. (BSD-3-Clause)
• TA-Lib/ta-lib-python - Python wrapper for TA-Lib. (BSD-2-Clause)
• ta4j/ta4j - A Java library for technical analysis. (check repo)
• tradingview/lightweight-charts - Small, fast financial charts for the web from TradingView. (Apache-2.0)

Portfolio, risk and performance

Optimize allocation and measure results.

• cvxgrp/cvxportfolio - Portfolio optimization and back-testing. (GPL-3.0)
• dcajasn/Riskfolio-Lib - Portfolio Optimization in Python. (BSD-3-Clause)
• PyPortfolio/PyPortfolioOpt - Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity. (MIT)
• ranaroussi/quantstats - Portfolio analytics for quants: performance and risk statistics with tear sheets. (Apache-2.0)
• skfolio/skfolio - Python library for portfolio optimization built on top of scikit-learn. (BSD-3-Clause)
• stefan-jansen/pyfolio-reloaded - Maintained fork of Pyfolio for performance and risk analysis of trading strategies. (Apache-2.0)

Machine learning and AI for trading

Research code, models and LLM agents for markets. Results are not a promise of profit.

• AI4Finance-Foundation/FinGPT - Open-source financial large language models and tools. (MIT)
• AI4Finance-Foundation/FinRL - Deep reinforcement learning library for automated trading research. (MIT)
• asavinov/intelligent-trading-bot - Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering. (MIT)
• je-suis-tm/quant-trading - Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo. (Apache-2.0)
• microsoft/qlib - AI-oriented quant research platform from Microsoft, from data to backtests. (MIT)
• stefan-jansen/machine-learning-for-trading - Code for the book Machine Learning for Algorithmic Trading. (MIT)
• TauricResearch/TradingAgents - Multi-agent LLM framework that simulates a trading firm. Research use. (Apache-2.0)
• zvtvz/zvt - Modular quant framework. (MIT)

Research platforms and terminals

Full desktop, web or terminal platforms for analysis.

• AlexWan/OsEngine - Open Source algo trading platform. (check repo)
• Fincept-Corporation/FinceptTerminal - FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools. (check repo)
• StockSharp/StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots. (check repo)

Crypto, DeFi and on-chain

Bots and tools that read or trade on-chain markets.

• BowTiedDevil/degenbot - Building blocks for Uniswap (V2, V3, V4), Curve V1, Solidly V2, Balancer V2 & Aave V3 arbitrage. (MIT)

How to choose

• Paper trade first. Run any bot on a demo account for weeks before you use real money.
• Past results do not predict future results. Backtests are easy to overfit. Check for look-ahead bias and fees.
• Read the code before you give it API keys. Use keys with trading rights only, never withdrawal rights.
• Check the license. Some tools are free for personal use and paid for firms.

Contributing

See CONTRIBUTING.md. One entry per pull request, plain words, real sources only.

About

Maintained by @devanasolver. Listings follow the rules in CONTRIBUTING.

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