Showing 8 open source projects for "arbitrage"

View related business solutions
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
    Try Free
  • 1
    OctoBot

    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...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2

    Kalshi-Quant-TeleBot

    Kalshi Advanced Quantitative Trading Bot is an enterprise-grade

    ...Built with a modular architecture, the system combines Python-based trading algorithms with a JavaScript Telegram bot interface for dynamic monitoring and interaction. The bot is designed to operate continuously, making data-driven decisions based on news sentiment analysis, statistical arbitrage opportunities
    Downloads: 2 This Week
    Last Update:
    See Project
  • 3
    SolanaMevBotGui

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    JesseAi

    JesseAi

    Advanced AI-Powered Python Crypto Trading Bot 2026 - Free Backtesting

    ...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!
    Downloads: 3 This Week
    Last Update:
    See Project
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Get Started Free
  • 5
    AutoTrader

    AutoTrader

    A Python-based development platform for automated trading systems

    ...The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable of simulating multiple order types, stop-losse,s and take-profits, cross-exchange arbitrage and portfolio strategies, AutoTrader has more than enough to build a profitable trading system.
    Downloads: 5 This Week
    Last Update:
    See Project
  • 6
    QuantResearch

    QuantResearch

    Quantitative analysis, strategies and backtests

    ...The project contains numerous notebooks and research materials demonstrating quantitative analysis techniques used in financial markets. These include implementations of factor models, statistical arbitrage strategies, portfolio optimization methods, and reinforcement learning approaches to trading. The repository also explores financial modeling topics such as vector autoregression, Gaussian mixture models, and option pricing techniques. Many notebooks demonstrate backtesting pipelines that allow users to evaluate trading strategies using historical market data. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    Blankly

    Blankly

    Easily build, backtest and deploy your algo in just a few lines

    ...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. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    A Python program to calculate implied volatility. And Android port is available at https://sourceforge.net/projects/implvoldroid/
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next