Floxbm/financial-chat-Finance-NLP-Chatbots

VeighNa (vn.py) is an open‑source, Python-based quantitative trading framework and plugin ecosystem for building, testing and deploying algorithmic strategies. It’s used by hedge funds, investment banks, brokers, university research groups and proprietary trading firms. The system provides modular, reusable components with environment-agnostic (backtest/sandbox/live) and exchange-agnostic interfaces to integrate indicators, strategies, risk modules and executors. Key features: - Plugin architecture for scalable, composable trading components - AI/ML module (v4.0) for end-to-end multi-factor strategy development: feature-engineered datasets, Alpha158 factor set, and model training templates (Lasso, LightGBM, MLP) - Data integration (OpenBB), technical-analysis summarization by AI, price history, quantitative stats, relative strength metrics, news sentiment, FinViz-based universe scanning - Risk management utilities (technical stops, R multiples), Streamlit chat UI, multi-agent workflows via LangGraph, and AWS deployment support (Copilot) - Cross-platform (Windows/Linux/macOS), Python 3.10–3.13 compatible.

このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。