Showing 3 open source projects for "modules"

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    Qlib

    Qlib

    Qlib is an AI-oriented quantitative investment platform

    ...With Qlib, users can easily try their ideas to create better Quant investment strategies. At the module level, Qlib is a platform that consists of above components. The components are designed as loose-coupled modules and each component could be used stand-alone.
    Downloads: 0 This Week
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  • 2
    Cortex AI Infrastructure

    Cortex AI Infrastructure

    Open-source multi-chain data routing & low-latency scanning framework.

    Cortex AI Infrastructure is an institutional-grade open-source crypto arbitrage bot framework for low-latency multi-chain data routing across TON, Solana, and EVM layers. The engine optimizes high-frequency distributed pipelines to eliminate execution lag and network jitter. Core Technical Modules: 1. Cross-Exchange Telemetry Scanner: Monitors order book depth and spreads across 18 venues concurrently (Binance, ByBit, OKX, HTX) with zero thread-locking. 2. Polymarket Analytics Engine: Tracks open prediction markets and volume anomalies using high-throughput CLOB data streams. 3. Solana & TON Node Routing: An asynchronous broker client optimized for private RPC nodes, tailored for high-frequency solana trading bot execution loops and automated TON/USDT spread environments (sub-28ms processing). 4. ...
    Downloads: 2 This Week
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  • 3
    TradeMaster

    TradeMaster

    TradeMaster is an open-source platform for quantitative trading

    TradeMaster is a first-of-its-kind, best-in-class open-source platform for quantitative trading (QT) empowered by reinforcement learning (RL), which covers the full pipeline for the design, implementation, evaluation and deployment of RL-based algorithms. TradeMaster is composed of 6 key modules: 1) multi-modality market data of different financial assets at multiple granularities; 2) whole data preprocessing pipeline; 3) a series of high-fidelity data-driven market simulators for mainstream QT tasks; 4) efficient implementations of over 13 novel RL-based trading algorithms; 5) systematic evaluation toolkits with 6 axes and 17 measures; 6) different interfaces for interdisciplinary users.
    Downloads: 0 This Week
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