Open Source Python Cryptocurrency Software for Mac
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Python Cryptocurrency Software for Mac
View 338 business solutionsBrowse free open source Python Cryptocurrency Software for Mac and projects below. Use the toggles on the left to filter open source Python Cryptocurrency Software for Mac by OS, license, language, programming language, and project status.
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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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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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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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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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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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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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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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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. -
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cryptos
Pure Python from-scratch zero-dependency implementation of Bitcoin
Cryptos is a pure Python implementation of major Bitcoin concepts built from scratch for educational purposes. It deliberately avoids external dependencies so readers can inspect how the underlying cryptography and protocol mechanics work. The project implements SHA-256, finite-field elliptic-curve mathematics, Bitcoin key generation, addresses, and ECDSA digital signatures. It can parse and inspect legacy and SegWit transaction structures, although its transaction validation is intentionally incomplete compared with a full Bitcoin node. Block utilities cover headers, proof-of-work validation, and difficulty calculations. A lightweight network client can connect to Bitcoin peers, perform the protocol handshake, and request block headers. The implementation is intentionally slow and should be treated as learning code rather than production cryptocurrency software. -
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
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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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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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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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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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MetaHash
#MetaHash is a next-generation network based on the Blockchain 4.0
#MetaHash is a next-generation network based on the Blockchain 4.0 technology for sharing digital assets and a platform for creating and managing decentralized apps and services in real-time. The #MetaHash project implements a solution that simultaneously possesses all the qualities of Blockchain new generation, namely: - Decentralization, which ensures absolute trust of users to the network; - Full synchronization, thanks to which each user has instant access to the most relevant data; - А transaction speed of up to 3 seconds, which provides unconditional ease of system using and a guarantee of the full operation of decentralized applications; - High bandwidth, which allows the network to keep transaction prices low due to the fact that a similar amount of resources can confirm more transactions per unit time; - Low commissions, due to which a huge number of potential customers will be interested in using the network for transfer and storage of payment means and technical data -
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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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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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Bitcart
Bitcart is a platform for merchants, users and developers
An open-source platform for managing cryptocurrency payments and stores without intermediaries. -
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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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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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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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CryptoFlouze
This software display the last prices of the top 20 cryptocurencies
This software download and display the last prices of the top 20 cryptocurrencies on the market. All the data are updated at every run. The data is downloaded from : https://coinmarketcap.com/api/ For windows : Download this zip file, unzip everything in the same directory. The data are updated at every run. For other operating systems : Run it from the source. https://github.com/hamdyaea/CryptoFlouze Developer - Author Hamdy Abou El Anein -
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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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Mika Lending Bot
Automated lending on Cryptocurrency exchanges Poloniex and Bitfinex
Mika Lending Bot is written in Python and features automatic lending on exchanges Poloniex and Bitfinex. It will automatically lend all cryptocurrencies found in your lending account. It uses an advanced lending strategy that will spread offers across the lend book to take advantage of possible spikes in lending rates. Inspired by MarginBot and BitfinexLendingBot. Configure your own lending strategy! Be aggressive and hold out for a great rate or be conservative and lend often but at a lower rate, your choice! Withhold lending a percentage of your coins until the going rate reaches a certain threshold to maximize your profits. Automatically transfer any funds you deposit (configurable on a coin-by-coin basis) to your lending account instantly after deposit. View a summary of your bot's activities, status, and reports via an easy-to-set-up webpage that you can access from anywhere! -
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MyTonCtrl
MyTonCtrl is a console application that is used for launching and mana
MyTonCtrl is a console application that is used for launching and managing TON blockchain nodes. The extended documentation can be found at https://docs.ton.org/v3/documentation/nodes/mytonctrl/overview and https://docs.ton.org/v3/guidelines/nodes/overview. -
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Nothing Ever Happens
Focused async Python bot for Polymarket
Nothing Ever Happens is an experimental open-source trading bot designed for the Polymarket platform that implements a deliberately simple and unconventional strategy: automatically buying “No” positions across non-sports binary prediction markets. The project is built in Python using asynchronous architecture, allowing it to monitor markets, evaluate opportunities, and execute trades continuously with minimal latency. Its core concept is based on statistical observations that a majority of prediction market outcomes resolve negatively, and it attempts to exploit this base-rate bias through systematic participation rather than predictive modeling. The bot includes a safety-oriented design with explicit environment variable requirements to enable live trading, ensuring that users consciously opt into real financial risk, along with a paper trading mode for testing without capital exposure.
