Showing 4 open source projects for "python stock trading"

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  • 1
    KIS Open API

    KIS Open API

    Korea Investment & Securities Open API Github

    The open-trading-api repository from Korea Investment & Securities provides sample code and developer resources for interacting with the KIS Developers Open Trading API, which enables programmatic access to financial market data and automated trading functionality. The project is designed primarily for Python developers and AI automation environments that want to build investment applications, algorithmic trading systems, or financial analytics tools using the brokerage’s infrastructure. ...
    Downloads: 0 This Week
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  • 2
    Tauric TradingAgents

    Tauric TradingAgents

    Multi-Agents LLM Financial Trading Framework

    Tauric TradingAgents is a multi-agent AI framework designed for financial analysis, strategy generation, and automated trading workflows. It coordinates multiple specialized agents that collaborate on tasks such as data analysis, signal generation, and risk evaluation. The system enables complex reasoning by distributing responsibilities across agents, improving decision-making quality. It supports integration with market data sources and trading environments for real-world application. The...
    Downloads: 2 This Week
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  • 3
    LlamaIndex

    LlamaIndex

    Central interface to connect your LLM's with external data

    LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. LlamaIndex is a simple, flexible interface between your external data and LLMs. It provides the following tools in an easy-to-use fashion. Provides indices over your unstructured and structured data for use with LLM's. These indices help to abstract away common boilerplate and pain points for in-context learning. Dealing with prompt limitations (e.g. 4096 tokens for Davinci) when...
    Downloads: 12 This Week
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  • 4
    FinGPT

    FinGPT

    Open-Source Financial Large Language Models

    FinGPT is an open-source, finance-specialized large language model framework that blends the capabilities of general LLMs with real-time financial data feeds, domain-specific knowledge bases, and task-oriented agents to support market analysis, research automation, and decision support. It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions...
    Downloads: 2 This Week
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