algorithmic trading platform (backtest + live execution)
AutoTrader is a Python platform for developing, backtesting, optimising and live-deploying automated trading strategies across forex, stocks and crypto brokers.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Pick it for a crypto-first Python stack with TradingView signal ingestion, if you don't need AutoTrader's forex/OANDA coverage.
Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post request to automate trading and order placement. Supports Binance and Okex exchanges.
Python peer with backtesting and live trading over 12 brokers; pick it if you want a maintained GPL alternative with broader asset coverage.
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
Choose it for an async, event-driven Python framework if you want asyncio-style strategy code and are crypto-focused.
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose it when you need tick-level, latency- and queue-aware HFT/market-making simulation with a Rust core instead of AutoTrader's broker-style virtual broker.
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
Use it when your strategies live in JS/TS and you only need a backtest engine, accepting no live broker layer.
An API for backtesting trading strategies in JavaScript and TypeScript.
Choose it for a .NET/C# trading stack with a large broker/exchange connector set, at the cost of leaving the Python ecosystem.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Similar Python backtest-plus-live bot, but unmaintained for ~3 years, so only for users who don't need ongoing fixes.
Trading bot with support for realtime trading, backtesting, custom strategies and much more.
Personal, unlicensed algo-trading project last touched 3 years ago; only useful as a reference implementation, not a maintained platform.
Algo trade project in python
An early OANDA forex framework in JavaScript, dormant for 5+ years; only for legacy JS shops with no maintenance expectations.
Forex algorithmic trading framework using OANDA REST API.
Narrower single-broker (IB) Java/MySQL system with no backtest or optimisation layer; only if you are committed to Java plus IB.
Java/MySQL real-time algorithmic trading using Interactive Brokers API
Python crypto backtest/live library equivalent to AutoTrader's scope, but archived with no updates for ~4 years.
An Algorithmic Trading Library for Crypto-Assets in Python
Pythonic backtesting/live-trading library of the same generation as AutoTrader, archived and unpatched for 5 years.
QTPyLib, Pythonic Algorithmic Trading
Mature Python backtesting/live library that could replace AutoTrader's simulator, but frozen for ~2 years so no dependency patches.
Python Backtesting library for trading strategies
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
A ready-to-run OANDA forex bot rather than a framework; choose it only if you want the finished bot, not to build strategies.
A fully automated Forex trading bot utilizing the OANDA API.
A packaged crypto bot with a UI and fixed DCA/GRID strategies; use it to trade, not to develop and backtest your own strategies.
🤖 Open-source crypto trading bot | 📈 DCA & GRID strategies | ✨ UI | ⭐ Star to support the project!
A single-strategy CCXT arbitrage bot you run as-is; it replaces the trade, not the strategy development platform.
CCXT-based cross-exchange arbitrage bot operating on CEXs, entirely written in Python. Work without any transfer between exchanges.
A prebuilt MT4/MT5 forex robot; choose it to run a bot inside MetaTrader, not to write Python strategies.
🤖📈 EA31337 Lite, Advanced and Rider - Forex multi-strategy trading robot for MT4/MT5 platforms
A JS crypto bot app with its own configured strategies and UI; swap it in only if you want a ready-made bot instead of a framework.
Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance, Bybit ... (public edition)
These projects were analysed and named AutoTrader among their alternatives. The relationship is not symmetric — how AutoTrader rates them is a separate judgement, made when AutoTrader is analysed in its own right.
calls AutoTrader “choose if you need an integrated backtesting and live trading platform with optimization.”
Python Backtesting library for trading strategies
calls AutoTrader “Use it for a Python backtest-to-optimisation-to-live workflow with many broker adapters, if you don't need crypto-specific gateways or TradingView webhooks.”
Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post request to automate trading and order placement. Supports Binance and Okex exchanges.
calls AutoTrader “Choose if you want a non-LLM automated trading platform despite it being archived.”
"Vibe-Trading: Your Personal Trading Agent"