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Back to sinall/strategyease-python-sdk

Open-source alternatives to StrategyEase Python SDK

5 open-source projects similar to sinall/strategyease-python-sdk, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best StrategyEase Python SDK alternative.

  • timercrack/tradertimercrack avatar

    timercrack/trader

    8,281View on GitHub↗

    This project is a futures algorithmic trading system designed to execute high-performance trading strategies through direct API integrations and low-latency message routing. It features a strategy execution engine that automates order placement and manages trade flows based on predefined logic and API triggers. The system utilizes a native trading API bridge and a low-latency message bus to interface internal logic with external exchange APIs while minimizing execution delays. Monitoring is handled through a web-based trading dashboard for real-time activity tracking and remote management. B

    Calgorithmctpfutures
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  • futunnopen/futuquantF

    FutunnOpen/futuquant

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  • quantbox/xapi2Q

    QuantBox/XAPI2

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  • shidenggui/easytradershidenggui avatar

    shidenggui/easytrader

    9,878View on GitHub↗

    Easytrader is a quantitative trading automation framework and brokerage API wrapper designed to programmatically execute buy and sell orders across trading terminals. It functions as a system for linking quantitative strategy logic to brokerage clients, providing the necessary infrastructure to automate stock trading and execute strategy-driven signals. The system distinguishes itself by offering a remote trading execution server that decouples strategy logic from trade execution, allowing orders to be triggered on distant machines via a web server or command-line interface. It includes speci

    Python
    View on GitHub↗9,878
  • vnpy/vnpyvnpy avatar

    vnpy/vnpy

    41,676View on GitHub↗

    VeighNa is an event-driven, modular platform designed for the development, backtesting, and execution of automated financial trading strategies. It provides a comprehensive suite of tools that includes a centralized trading terminal for monitoring portfolios and market conditions, alongside a robust algorithmic trading engine that manages real-time data processing and order execution. The platform distinguishes itself through a highly decoupled architecture that isolates algorithmic logic from market connectivity, allowing for independent strategy development and testing. It utilizes a dynami

    Pythonalgotradingfinancefintech
    View on GitHub↗41,676

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