Open Source Python Crypto Trading Bots
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Python Crypto Trading Bots
View 168 business solutionsBrowse free open source Python Crypto Trading Bots and projects below. Use the toggles on the left to filter open source Python Crypto Trading Bots by OS, license, language, programming language, and project status.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Algobot
Cryptocurrency trading bot with a graphical user interface
Cryptocurrency trading bot that allows users to create strategies and then backtest, optimize, simulate, or run live bots using them. Telegram integration has been added to support easier and remote trading. Please note that Algobot requires TA-LIB. You can view instructions on how to download TA-LIB. For Windows users, it's best to download the .whl package for your Python install and pip install it. For Linux and MacOS users, there's excellent documentation available. Create graphs with real time data and/or moving averages. Run simulations with parameters configured. Run custom backtests with parameters configured. Run live bots with parameters configured. Telegram integration that allows users to trade or view statistics. Create custom, trailing, or limit stop losses. -
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OctoBot
Cryptocurrency trading bot for TA, arbitrage and social trading
OctoBot is a trading robot that is designed to be easy to use and infinitely customizable. OctoBot is built for people who don't have much time or do not easily trust crypto-world projects. Many trading automation tools exist but most of them are complicated to use, expensive, do not behave as intended, or are meant to be used by professional traders. Moreover, when a favorable trend is spotted, it can be difficult to maximize profit from it: trading takes a lot of time, and when it's done automatically how to be sure that the robot will do what it is supposed to? By using OctoBot, you will be able to automate your trades with the strategy you have chosen and the markets you want. Whether you are a beginner or an expert trader, each strategy is testable easily without any limit. You can use an existing setup or try and customize your own until you identify the perfect settings for your trading goals and proceed with real money trading and make real gains. -
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Freqtrade
Free, open source crypto trading bot
Freqtrade is a free and open-source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram or WebUI. It contains backtesting, plotting, and money management tools as well as strategy optimization by machine learning. Always start by running a trading bot in Dry-run and do not engage money before you understand how it works and what profit/loss you should expect. We strongly recommend you have basic coding skills and Python knowledge. Do not hesitate to read the source code and understand the mechanisms of this bot, algorithms, and techniques implemented in it. Write your strategy in python, using pandas. Example strategies to inspire you are available in the strategy repository. Download historical data of the exchange and the markets you may want to trade with. Find the best parameters for your strategy using hyper optimization which employs machining learning methods. -
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Hummingbot
Build trading bots that run on any exchange or blockchain
Hummingbot is an open-source project that integrates cryptocurrency trading on both centralized exchanges and decentralized protocols. It allows users to run a client that executes customized, automated trading strategies for cryptocurrencies. Hummingbot is software that helps you build and run automated trading strategies or bots. Its codebase is free and publicly available on Github under the Apache 2.0 open source license. Hummingbot Foundation is a not-for-profit foundation that facilitates decentralized maintenance and governance of the Hummingbot codebase, powered by the Hummingbot Governance Token (HBOT). Help us democratize high-frequency trading and give sophisticated algorithms to everyone in the world! We created hummingbot to promote decentralized market-making, enabling members of the community to contribute to the liquidity and trading efficiency in cryptocurrency markets. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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python-binance
Binance Exchange API python implementation for automated trading
This is an unofficial Python wrapper for the Binance exchange REST API v3. I am in no way affiliated with Binance, use at your own risk. Implementation of all General, Market Data and Account endpoints. Asyncio implementation. Testnet Support for Spot, Futures, and Vanilla Options. Simple handling of authentication. No need to generate timestamps yourself, the wrapper does it for you. Response exception handling. Websocket handling with reconnection and multiplexed connections. Symbol Depth Cache. Historical Kline/Candle fetching function. Withdraw functionality. Deposit addresses. Margin Trading. Futures Trading. Vanilla Options. Support other domains (.us, .jp, etc). The breaking changes include the migration from wapi to sapi endpoints which are related to the wallet endpoints detailed in the Binance Docs. -
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OctoBot
Crypto investment, now on autopilot
OctoBot is built for investors to get the best of their investments using the most profitable strategies. - Automate your crypto investment with proven strategies - Test before using your real funds - Enjoy the best trading strategies for free - Follow your investment from your mobile - Turn your best trading ideas into automated strategies with TradingView or python -
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JesseAi
Advanced AI-Powered Python Crypto Trading Bot 2026 - Free Backtesting
Jesse Bot: Advanced AI-Powered Python Best Crypto Trading Bot & Framework (2026) Jesse Bot — free open-source Python crypto trading bot & robust framework for cryptocurrency markets. Build, backtest, AI-optimize, and execute precise automated strategies with zero look-ahead bias. Use JesseGPT — built-in AI assistant — to write, debug, and refine strategies effortlessly, even as a beginner. Secure live trading on Binance, Bybit & major exchanges, full risk management, leverage/futures support, and pro analytics. One of the best open-source alternatives to Freqtrade with genuine AI edge: privacy-first self-hosting (no shared API keys), multi-timeframe/symbol backtesting, custom indicators, ML-enhanced signals. Perfect for Python devs, algorithmic traders, high-frequency, trend-following, mean-reversion & arbitrage enthusiasts seeking the top ai crypto trading bot or best crypto trading bot in 2026. Automate your crypto edge — download now & start winning! Join the future of crypto! -
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crypto scanner v6.0.0
AI‑powered signals, risk analysis, and automated trading bot
Advanced Crypto Scanner v6.0.0 All‑in‑one Windows crypto tool – real‑time data, signals, risk analysis, AI learning, and automated trading bot. Live Data: Prices, volume, market cap (CoinMarketCap/CoinGecko), BTC dominance, market sentiment. Smart Signals: Basic (price/volume) & Advanced (RSI, MACD, Bollinger, Stochastic, ADX) with confirmation gate. Risk Rating: Low/Medium/High based on liquidity, volatility, category, technicals. Filters: Category (DeFi, AI, Gaming, NFT, Meme, L2), signal, risk, search. Indicators: RSI, MACD, BB%, Stochastic, ADX, ATR%, EMA, turnover, on‑chain data. Extras: TradingView charts, notes, Excel export. 🤖 SmartEagle Bot (7‑day trial) Auto/manual trade on Strong Buy/Buy signals. 100+ exchanges (Binance, Toobit, etc.) + simulator. Stop loss, take profit, trailing stop, position sizing, cooldown. Encrypted keys. 🧠 AI Learning Learns from losses, auto‑blocks bad signals. Dashboard with win rate, active rules, AI suggestions. -
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SolanaMevBotGui
Solana Trade Bot is an open-source tool for automated trading on the
This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms. It automates various tasks and accelerates decision-making processes tailored to user needs. With advanced algorithms, it can analyze complex data, learn, and provide intuitive solutions. Developed in popular languages like Python, it is fully customizable and open for community contributions and improvements. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Moliom Solana Bot
Raydium + Pumpfun sniper bot with user-friendly GUI interface. Free
!This bot is completely Free. The open source code available! This bot was developed by me and a friend. Initially we did it for ourselves, but later decided to give in free use to all people. The bot also has a very convenient and understandable for all interface -
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Catalyst
An Algorithmic Trading Library for Crypto-Assets in Python
Catalyst is an algorithmic trading library for crypto-assets written in Python, originally developed to let quants and developers design, backtest, and deploy trading strategies in a unified environment. It builds on top of Zipline, extending that ecosystem to support crypto exchanges and high-resolution historical data (daily and minute bars). Users can express strategies in Python, run backtests against historical price data, and analyze performance through built-in metrics and analytics to evaluate profitability, risk, and behavior under different market conditions. Beyond backtesting, Catalyst was designed to support live trading on multiple crypto exchanges such as Binance, Bitfinex, Bittrex, and Poloniex, bridging simulation and production within the same framework. The library includes a rich set of examples, Docker and conda configurations, and integration points for community resources like forums and Discord for sharing strategies and troubleshooting. -
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MONITOR BINANCE LIQUIDATIONS
Real-time monitoring of futures liquidations on the Binance exchange.
✅ Requirements: WINDOWS 10 🆓 FREEWARE 🟢 REAL-TIME MONITORING OF FUTURES LIQUIDATIONS ON THE BINANCE EXCHANGE. 🟢 МОНИТОРИНГ ЛИКВИДАЦИЙ ФЬЮЧЕРСОВ НА БИРЖЕ BINANCE В РЕЖИМЕ РЕАЛЬНОГО ВРЕМЕНИ. ⚫ Use a FILTER to monitor the coins you need. Input currency pairs from one or more into the filter. To monitor several coins, in the filter field input them one by one with a comma separator. FOR EXAMPLE: BTCUSDT,ETHUSDT,CfxUSdt You can enter both uppercase and lowercase letters. ⚫ The data is saved to a file (binance_liqquidation.csv) located in the same folder as the program. All currency pairs are written to the file. Using a filter does not affect writing to a file. ⚫ Input the amount of liquidations in dollars in the filter under the "F.A.Q" button. If the "ALL" value in the liquidation line exceeds the entered value, the liquidation line will be highlighted in a different color. -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc.
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