Showing 4 open source projects for "linux socket thread"

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  • 1
    Barter

    Barter

    Open-source Rust framework for building event-driven systems

    Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data...
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  • 2
    NautilusTrader

    NautilusTrader

    A high-performance algorithmic trading platform

    NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. This helps to address the...
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  • 3
    QwartzNetwork

    QwartzNetwork

    cryptocurrency with own PoW/PoS[Masternode] Blockchain

    QwartzNetwork - OpenSource Blockchain Project You can help Qwartz Network to be listed on any exchange you know ! If you want support QwartzNetwork, you can send 0.0014 BTC to 1CEs9bwRiS8Zx9mZ1s7BZxkyfsumGoSuNT for node Create following file: C:/user/"YourName"/AppData/Roaming/Qwartz/qwartz.conf : rpcuser=rpc_qwartz rpcpassword=31c23561720bf04415ecac27d rpcallowip=127.0.0.1 rpcport=7531 listen=1 server=1 txindex=1 addnode=109.17.195.223 addnode=199.247.8.70 Or type...
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  • 4
    Trad4 is a fully concurrent, thread safe, graph-based programming language that scales linearly on multiple cores. It is initially intended for deployment in the financial industry to model real-time risk.
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