Open Source Python Cryptocurrency Software
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Python Cryptocurrency Software
View 3128 business solutionsBrowse free open source Python Cryptocurrency Software and projects below. Use the toggles on the left to filter open source Python Cryptocurrency Software by OS, license, language, programming language, and project status.
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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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Duino-Coin
A coin that can be mined with almost everything
Duino-Coin is a coin that can be mined with almost everything, including Arduino boards. Duino-Coin is a coin that can be mined with Arduinos, ESP8266/32 boards, Raspberry Pis, computers, and many more (including Wi-Fi routers, smart TVs, smartphones, smartwatches, SBCs, MCUs or even GPUs) The easiest way to get started with Duino-Coin is to download the latest release for your OS. After downloading the release, unzip it and launch the desired program. There are no dependencies required. Duino was founded in 2019 and is a for-fun, fully original crypto coin project developed by a team of young developers that focuses on energy-efficient mining. It's mostly, but not only, dedicated to people who are just starting out in the crypto world as it doesn't require any expensive equipment. To make mining with underpowered devices possible Duino uses the so-called Kolka system that consists of a few stages that test the device performance, assign a difficulty tier and distribute the rewards. -
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LBRY SDK
The LBRY SDK for building decentralized content apps
Join top creators and more than 10,000,000 people on LBRY, an open, free, and fair network for digital content. LBRY is a decentralized peer-to-peer protocol for publishing and accessing digital content. It utilizes the LBRY blockchain as a global namespace and database of digital content. Blockchain entries contain searchable content metadata, identities, rights and access rules. LBRY also provides a data network that consists of peers (seeders) uploading and downloading data from other peers, possibly in exchange for payments, as well as a distributed hash table used by peers to discover other peers. LBRY SDK for Python is currently the most fully featured implementation of the LBRY Network protocols and includes many useful components and tools for building decentralized applications. -
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OpenBB Terminal
Investment research for everyone, anywhere
Fully written in python which is one of the most used programming languages due to its simplified syntax and shallow learning curve. It is the first time in history that users, regardless of their background, can so easily add features to an investment research platform. The MIT Open Source license allows any user to fork the project to either add features to the broader community or create their own customized terminal version. The terminal allows for users to import their own proprietary datasets to use on our econometric menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. This is ideal for finance content creation. Create notebook templates (through papermill) which can be run on different tickers. This level of automation allows to speed up the development of your investment thesis and reduce human error. -
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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. -
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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vyper
Pythonic Smart Contract Language for the EVM
See Installing Vyper to install vyper. See Tools and Resources for an additional list of framework and tools with vyper support. See Documentation for the documentation and overall design goals of the Vyper language. See Learn.Vyperlang.org for learning Vyper by building a Pokémon game. See try.vyperlang.org to use Vyper in a hosted jupyter environment! There is also an online compiler available you can use to experiment with the language and compile to bytecode and/or IR. While the vyper version of the online compiler is updated on a regular basis it might be a bit behind the latest version found in the master branch of this repository. -
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RoboSats
A simple and private bitcoin exchange
RoboSats is a privacy-preserving, peer-to-peer Bitcoin exchange that allows users to buy and sell Bitcoin using Lightning Network payments without requiring identity verification. It uses Tor by default and leverages a simple robot-based user interface to facilitate one-time trades between anonymous users. Each trade session is isolated, and no long-term accounts or KYC are needed, making RoboSats one of the most private Bitcoin P2P tools available. Designed with a strong focus on usability and anonymity, it's especially popular among privacy advocates and Bitcoin maximalists. -
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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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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. -
Earn up to 16% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
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zvt
Modular quant framework
For practical trading, a complex algorithm is fragile, a complex algorithm building on a complex facility is more fragile, complex algorithm building on a complex facility by a complex team is more and more fragile. zvt wants to provide a simple facility for building a straightforward algorithm. Technologies come and technologies go, but market insight is forever. Your world is built by core concepts inside you, so it’s you. zvt world is built by core concepts inside the market, so it’s zvt. The core concept of the system is visual, and the name of the interface corresponds to it one-to-one, so it is also uniform and extensible. You can write and run the strategy in your favorite ide, and then view its related targets, factor, signal and performance on the UI. Once you are familiar with the core concepts of the system, you can apply it to any target in the market. -
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Cryptocheck
Monitors balances of your cryptocurrency addresses
Cryptocheck monitors balances of your cryptocurrency addresses and raises an alert in case of any change detected. It connects to known block explorer API services to verify balances. It is useful for long-term investors with multiple different cryptocurrencies in their portfolio. You no longer need to access all your wallets with passwords to simply just check that your money are still there. Cryptocheck also provides a simple profit calculation and history charts mapping your portfolio history. And there is also a server node available! It continuously monitors balances, records history data and sends all the data to your Cryptocheck desktop application. Supported cryptocurrencies: https://sourceforge.net/p/cryptocheck/wiki/Home/#supported-cryptocurrencies For more details about Cryptocheck and how to use it, see wiki: https://sourceforge.net/p/cryptocheck/wiki I am open to add other cryptocurrencies on your request. -
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CCXT
JavaScript/TypeScript/Python/C#/PHP cryptocurrency trading API
The ccxt library is a collection of available crypto exchanges or exchange classes. Each class implements the public and private API for a particular crypto exchange. All exchanges are derived from the base Exchange class and share a set of common methods. To access a particular exchange from ccxt library you need to create an instance of corresponding exchange class. Supported exchanges are updated frequently and new exchanges are added regularly. -
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Cryptocurrency Exchange Feed Handler
Cryptocurrency Exchange Websocket data feed handler
Handles multiple cryptocurrency exchange data feeds and returns normalized and standardized results to client registered callbacks for events like trades, book updates, ticker updates, etc. Utilizes WebSockets when possible, but can also poll data via REST endpoints if a WebSocket is not provided. Create a FeedHandler object and add subscriptions. For the various data channels that an exchange supports, you can supply callbacks for data events, or use provided backends to handle the data for you. Start the feed handler and you're done! Cryptofeed also provides a synthetic NBBO (National Best Bid/Offer) feed that aggregates the best bids and asks from the user specified feeds. Cryptofeed supports backend callbacks that will write directly to storage or other interfaces. Cryptofeed can be installed from PyPi. (It's recommended that you install in a virtual environment of your choosing). -
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Robin-Stocks API Library
This is a library to use with Robinhood Financial App
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or trading algorithm, and improve your programming skills. The supported APIs are Robinhood, Gemini, and TD Ameritrade. If you are contributing to this project and would like to use automatic testing for your changes, you will need to install pytest and pytest-dotenv. You will also need to fill out all the fields in .test.env. I recommend that you rename the file as .env once you are done adding in all your personal information. -
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ZeroNet
Decentralized websites using Bitcoin crypto and BitTorrent network
Open, free and uncensorable websites, using Bitcoin cryptography and BitTorrent network. Your content distributed directly to other visitors without any central server. Uncensored: It's nowhere because it's everywhere! No hosting costs: Sites are served by visitors. Always accessible: No single point of failure. No configuration needed: Download, unpack and start using it. Decentralized domains using Namecoin cryptocurrency. Your account is protected by the same cryptography as your Bitcoin wallet. Page response time is not limited by your connection speed. Real-time updated, multi-user websites. Supports any modern browser on Windows, Linux or Mac platforms. You can easily hide your IP address using the Tor network. Browse the sites you're seeding even if your internet connection is down. Developed by the community for the community. We believe in open, free, and uncensored network and communication. -
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coinwatch
Coinmarketcap console client to keep track of your crypto trades
A cryptocurrency price monitoring tool providing real-time updates and alerts. -
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rotki
A portfolio tracking, analytics, accounting and tax reporting app
A portfolio tracking, analytics, accounting and tax reporting application that respects your privacy -
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BitcoinExchangeFH
Cryptocurrency exchange market data feed handler
BitcoinExchangeFH is a slim application to record the price depth and trades in various exchanges. You can set it up quickly and record all the exchange data in a few minutes! If the exchange is not supported with the WebSocket API feed, it will automatically fall into using its REST API feed. The subscription section specifies the exchange and instruments to subscribe. After receiving the order book or trade update, each handler is updated. For example, for SQL database handler, it is updated with the corresponding SQl statements. The feed handler acts as a publisher in ZeroMQ. To receive the feed, please follow ZeroMQ instructions to start a subscriber. The application is compatible with version higher or equal to python 3.0. -
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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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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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Blankly
Easily build, backtest and deploy your algo in just a few lines
Blankly is a live trading engine, backtest runner and development framework wrapped into one powerful open-source package. Models can be instantly backtested, paper traded, sandbox tested and run live by simply changing a single line. We built blankly for every type of quant including training & running ML models in the same environment, cross-exchange/cross-symbol arbitrage, and even long/short positions on stocks (all with built-in WebSockets). Blankly is the first framework to enable developers to backtest, paper trade, and go live across exchanges without modifying a single line of trading logic on stocks, crypto, and forex. Every model needs to figure out how to buy and sell. We make it super easy for you so you can focus on building better trading algos. Your models can run on any platform, and on any supported exchange. We make that as easy as just changing one line of code. -
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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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Polymarket Data
Polymarket Data Retriever that fetches, processes, and structures data
Polymarket Data is a comprehensive data engineering pipeline designed to collect, process, and structure trading activity from the Polymarket prediction market ecosystem into analyzable datasets. The system operates as a multi-stage pipeline that integrates data from both off-chain APIs and on-chain event sources, enabling users to reconstruct full trading activity including markets, order events, and executed trades. It begins by fetching market metadata such as questions, outcomes, and trading volumes, then proceeds to scrape order-filled events from a GraphQL-based subgraph, and finally transforms these raw events into structured trade-level records with calculated prices and directions. One of its key strengths is its ability to run incrementally and resume operations automatically, making it suitable for long-running data collection without duplication or data loss. -
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PowerTrader_AI
Fully automated crypto trading powered by a custom price prediction AI
PowerTrader_AI is a fully open-source, automated cryptocurrency trading bot that combines a custom price prediction AI with a structured and tiered dollar-cost averaging (DCA) strategy to make real trading decisions on behalf of users. It continuously analyzes market data to forecast high and low price levels across multiple timeframes, using those predictions to determine when to open, scale into, or close positions automatically, which aims to take emotion out of trading and enforce discipline. The bot integrates with popular exchange APIs so it can execute real buy and sell orders, manage risk, and maintain position sizing without manual intervention, making it suitable for algorithmic traders who want hands-off operations. It also includes configurable settings so users can adjust strategies, risk parameters, and the assets to trade, giving flexibility for different market conditions. -
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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.
