crypto quant trading framework / algo backtesting and execution
Howtrader is a Python crypto quant framework (forked from VNPY) for writing, backtesting and live-executing trading strategies on Binance and OKX, including TradingView webhook signal automation.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Drop-in Python event-driven crypto framework; pick it for async-first, exchange-agnostic design without VNPY's CTP-era structure.
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
Pick it when you want a Python crypto framework with batteries-included backtesting and live trading, at the cost of adopting its own strategy DSL and data format.
An advanced crypto trading bot written in Python
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose it for tick-level, latency- and queue-aware HFT backtesting in Rust, accepting a heavier setup and no TradingView-webhook or VNPY-style strategy API.
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
Pick it for a .NET/C# shop needing stocks, forex, options and crypto in one platform, at the cost of a much heavier, non-Python runtime.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Choose it when you also need stocks, options, futures and broker integrations, accepting GPL-3.0 and a broader multi-asset API rather than a crypto-tuned one.
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
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.
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
The official VeighNa crypto core, worth choosing for the wider vnpy ecosystem if you accept it is tied to the Evo platform and updates have slowed.
The core module for using VeighNa (vnpy) quant trading platform on the crypto market.
Choose it for Go performance and concurrent multi-account, multi-strategy execution, accepting AGPL-3.0 and a smaller ecosystem.
a high-performance, easy-to-use, multi-symbol, multi-strategy, multi-period, multi-account event-driven trading bot
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
A lightweight JS/TS backtesting-only library; usable if you just need offline strategy evaluation and can live without live trading or recent releases.
An API for backtesting trading strategies in JavaScript and TypeScript.
A JS/TS Binance strategy framework for a Node stack, but Binance-only and without releases since 2023.
💰 Cryptocurrency Trading Strategy & Portfolio Management Development Framework for Binance. 🤖
A vnpy-derived multi-market system only worth considering for legacy CTP/China-market deployments; unmaintained since 2018.
一个基于vnpy，支持多账户，多策略，实盘交易，数据分析，分布式在线回测，风险管理，多交易节点的量化交易系统；支持CTP期货，股票，期权，数字货币等金融产品
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
A ready-made Bybit TradingView-webhook bot you configure and run; it has no backtester or strategy framework and is unmaintained since 2022.
Python based Trading Bot that uses TradingView.com webhook JSON alerts to place orders(buy/sell/close/manage positions/TP/SL/TS etc.) on Bybit.com.
A standalone multi-exchange futures bot with its own fixed strategies; deploy-only, with no library to build your own strategies against.
A trading bot for automated algorithmic trading on Binance Futures, Bybit, BitMEX and FTX written in python.
A prebuilt technical-analysis futures bot you run as-is; single exchange, no development framework, stale since 2023.
A Technical Analysis Bot that trades leveraged USDT futures markets on Binance.
An end-user trading terminal covering 100+ exchanges; you run the app rather than embedding a strategy framework in your code.
Open source, customized, extendable trading platform that supports 100+ crypto exchanges.
A ready-to-run bot with a fixed pair-ratio strategy; no strategy development API and no backtesting engine.
Automated cryptocurrency trading bot
A small experimental Binance bot with a few built-in strategies; run it directly instead of coding strategies into it.
💰 Cryptocurrency Trading Bot for Binance (Experimental)
A single-exchange Java bot deployed as-is; no Python strategy layer and no updates since 2023.
Crypto trading bot using Binance API (Java)
A self-hosted multi-exchange JS bot with a web UI; an application you run, not a library to swap into your codebase.
Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance, Bybit ... (public edition)
An old Go multi-exchange trading daemon run as a standalone bot, with nothing updated since 2019.
A cryptocurrency trader for all famous exchanges
A ready-deployed Binance bot with dashboard and pluggable strategies; an app to run rather than a framework to build against.
Automated Binance trading bot with pluggable strategies, historical backtesting, and a live dashboard
These projects were analysed and named howtrader among their alternatives. The relationship is not symmetric — how howtrader rates them is a separate judgement, made when howtrader is analysed in its own right.
calls howtrader “Pick it for a crypto-first Python stack with TradingView signal ingestion, if you don't need AutoTrader's forex/OANDA coverage.”
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
calls howtrader “choose for a crypto-focused Python framework with backtesting and live trading integration.”
Python Backtesting library for trading strategies