Open Source TypeScript Algorithmic Trading Platforms

TypeScript Algorithmic Trading Platforms

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Browse free open source TypeScript Algorithmic Trading Platforms and projects below. Use the toggles on the left to filter open source TypeScript Algorithmic Trading Platforms by OS, license, language, programming language, and project status.

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    Data management solutions for confident marketing

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  • 1
    Kalshi Trading Bot CLI

    Kalshi Trading Bot CLI

    AI-native CLI for trading Kalshi prediction markets

    Kalshi Trading Bot CLI is an AI-driven command-line tool designed to automate trading strategies on Kalshi prediction markets by combining quantitative modeling with real-time market data. It operates by conducting deep research on events, generating independent probability estimates, and comparing those estimates against current market prices to identify trading opportunities. The system incorporates advanced decision-making logic, including Kelly criterion-based position sizing and a structured multi-step risk evaluation process before executing trades. Built as a CLI application, it allows traders to interact programmatically with markets, making it suitable for automation and integration into larger trading pipelines. The tool emphasizes disciplined trading through its risk engine, ensuring that decisions are filtered through multiple validation layers before capital is committed.
    Downloads: 8 This Week
    Last Update:
    See Project
  • 2
    TradingGoose Studio

    TradingGoose Studio

    Technical analysis + LLM powered trading workflows

    TradingGoose Studio is an open-source AI workflow platform designed to enable advanced financial trading analysis and automation through a visual, modular interface powered by large language models. It combines traditional technical analysis with modern AI-driven decision-making by allowing users to build workflows where multiple specialized agents collaborate to interpret market signals and execute actions. The platform supports end-to-end trading pipelines, starting from ingesting real-time market data and applying custom indicators, to generating insights and triggering automated trades or alerts. Users can connect their own data providers and define personalized strategies using programmable indicators, making the system highly flexible for different trading styles. A key aspect of the platform is its visual workspace, where charts, widgets, and workflow blocks can be arranged and customized to create an interactive trading environment.
    Downloads: 1 This Week
    Last Update:
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