Y-Research-SBU/QuantAgent

Official Repository for QuantAgent

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Established

This system helps high-frequency traders analyze market movements and identify potential trading opportunities. It takes real-time market data for stocks, crypto, commodities, or indices, and outputs actionable trade recommendations (long/short, entry/exit, stop-loss) along with detailed rationale. Professional traders, quantitative analysts, and active individual investors looking to automate parts of their decision-making process would find this useful.

1,354 stars. Actively maintained with 2 commits in the last 30 days.

Use this if you are an active trader who relies on technical indicators, chart patterns, and trend analysis to make rapid, data-driven trading decisions.

Not ideal if you prefer long-term fundamental analysis or do not wish to integrate AI agents into your trading strategy.

high-frequency-trading technical-analysis market-prediction algorithmic-trading quantitative-finance
No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 25 / 25

How are scores calculated?

Stars

1,354

Forks

303

Language

HTML

License

MIT

Last pushed

Feb 03, 2026

Commits (30d)

2

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