SUMMARY AI summary by gpt-5-mini
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.
DETECTED Detected AI stack
AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.
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Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 100 / 100
Position among AI repos in the same language
We track 254 C# repos, of which 166 score 40 or above on AI relevance. 8 have more stars than this one (top 3.5%), and 0 score higher (top 0.4%).
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Dates
| Created on GitHub | 2026-04-29 |
| Last push | 2026-08-17 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-08-17 16:13 |
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