Showing 8 open source projects for "analyze"

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  • 1
    BTC Trading Since 2020

    BTC Trading Since 2020

    Public BTC trading context since 2020

    ...It includes backtesting capabilities that enable users to simulate trades over historical Bitcoin price data, helping to identify profitable patterns and risk factors. The project emphasizes data-driven decision-making, providing tools and scripts to analyze trends, generate signals, and evaluate performance metrics. It is structured in a way that allows users to modify or extend strategies, making it suitable for both learning and experimentation. The system is particularly useful for individuals interested in quantitative trading and algorithmic finance.
    Downloads: 2 This Week
    Last Update:
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  • 2
    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: 3 This Week
    Last Update:
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  • 3
    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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  • 4
    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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  • 5
    Truffle

    Truffle

    A tool for developing smart contracts. Crafted with the finest cacaos.

    ...Write tests in Solidity, JavaScript, and TypeScript. Truffle will manage your entire workflow. Get a deeper understanding of transactions with the Truffle debugger. Step in/out, set breakpoints, and analyze variables through the CLI and the native VS Code debugger. Debug mainnet transactions by stepping through verified contract source code. Truffle will give you the best view into what's happening. Bring up a local blockchain with pre-funded accounts for fast testing with Truffle’s Ganache. Fork mainnet with zero-config, impersonate accounts, auto-mine blocks, and use Ganache programmatically with Node.js. ...
    Downloads: 0 This Week
    Last Update:
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  • 6
    BDS

    BDS

    Blockchain data parsing and persisting results

    JD Cloud Blockchain Data Service (BDS) is a real-time data aggregating, analyzing, and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains. Splitter is the key module of Blockchain Data Service (BDS) and provides data analysis capability. Splitter is responsible for consuming blockchain data from message queue (kafka) and inserting data into persistent data storage services (relational database, data warehouse, etc.) for further processing. Before...
    Downloads: 0 This Week
    Last Update:
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  • 7
    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:
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  • 8
    fooltrader

    fooltrader

    Quant framework for stock

    ...Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. You could write the Strategy using an event-driven or time walkway and view and analyze the performance in a uniform way.
    Downloads: 0 This Week
    Last Update:
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