Showing 4 open source projects for "analyze"

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  • 1
    Crypto-Pump-Bot-Ai-Powered

    Crypto-Pump-Bot-Ai-Powered

    A cutting-edge AI-driven cryptocurrency trading bot designed to detect

    A cutting-edge AI-driven cryptocurrency trading bot designed to detect and respond to market pump-and-dump activities. This bot leverages advanced machine learning models and sophisticated analysis techniques to identify opportunities, analyze market trends, and execute trades with precision.
    Downloads: 2 This Week
    Last Update:
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  • 2
    DeFi-Yield-Farming-Bot
    Welcome to the DeFi Yield Farming Bot! This tool is designed to automate liquidity provision and optimize returns on various decentralized finance (DeFi) platforms. Whether you're an experienced yield farmer or just getting started, this bot simplifies the process and helps maximize your passive income. The bot supports the following blockchain networks: Ethereum Fuse Telos Meter Moonriver Polygon PoS Avalanche Theta Fantom Harmony Shard-0 Binance Smart Chain Solana
    Downloads: 0 This Week
    Last Update:
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  • 3
    All-in-one-Ton-Trading-Bot
    ...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. TAT (Ton Auto Trade) Bot is an advanced automated trading bot built for Ton. It is designed to employ a range of sophisticated trading strategies to maximize profits and provide hands-off trading automation. ...
    Downloads: 2 This Week
    Last Update:
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  • 4
    Catalyst

    Catalyst

    An Algorithmic Trading Library for Crypto-Assets in Python

    ...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. ...
    Downloads: 0 This Week
    Last Update:
    See Project
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