Showing 5 open source projects for "sentiment"

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    Intelligent stock analysis system

    Intelligent stock analysis system

    LLM-driven A/H/US stock intelligent analyzer

    ...It’s designed to produce a daily “decision dashboard” summarizing key insights such as core conclusions, precise entry/exit points, and checklists for potential trades, combining multi-dimensional technical analysis, market sentiment, chip distribution, and real-time price data. The system supports scheduled execution using GitHub Actions, enabling fully automated daily analysis and multi-channel notifications via platforms like Telegram, Enterprise WeChat, Feishu, email, and push services. Under the hood, it integrates multiple AI models (like Gemini and OpenAI-compatible models) and diverse market data sources (including AkShare, Tushare, and YFinance) to synthesize comprehensive reports.
    Downloads: 34 This Week
    Last Update:
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  • 2
    FinGPT

    FinGPT

    Open-Source Financial Large Language Models

    ...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 rather than generic knowledge alone. The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports.
    Downloads: 2 This Week
    Last Update:
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  • 3
    Fincept Terminal

    Fincept Terminal

    FinceptTerminal is a modern finance application

    ...Its architecture integrates Python, TypeScript, Rust, and React, reflecting both a robust data processing backend and a modern desktop UI experience. FinceptTerminal emphasizes AI-powered insights and automation, offering technical and fundamental analysis, sentiment data, and customizable workflows that help traders and analysts make informed decisions efficiently. The platform’s open-source nature encourages contributors to build new data connectors, analytics modules, and documentation.
    Downloads: 9 This Week
    Last Update:
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  • 4

    Kalshi-Quant-TeleBot

    Kalshi Advanced Quantitative Trading Bot is an enterprise-grade

    ...Built with a modular architecture, the system combines Python-based trading algorithms with a JavaScript Telegram bot interface for dynamic monitoring and interaction. The bot is designed to operate continuously, making data-driven decisions based on news sentiment analysis, statistical arbitrage opportunities
    Downloads: 2 This Week
    Last Update:
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  • 5
    Stockhub is an open source intelligence tool for stock investment. It automatically collects FA, TA, rating, sentiment from many web sites/blogs; Track top performers’ portfolios; Find the most commonly rated long/short stocks, without browser and GUI.
    Downloads: 0 This Week
    Last Update:
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