AI agent skill for scanning and validating event-driven arbitrage opportunities in US equities
-
Updated
Mar 2, 2026
AI agent skill for scanning and validating event-driven arbitrage opportunities in US equities
Local-first US-equity quant research workspace — Qlib + LightGBM DoubleEnsemble, factor library, and walk-forward backtesting with a React dashboard.
US-equity quant research that lives inside your AI assistant (Claude/Codex via MCP): explainable ratings, key levels & daily briefs from one command. CLI + MCP, bilingual EN / 中文.
MCP server for US-equity research over SEC EDGAR, Finnhub, and yfinance. Five tools including a deterministic aggregator that flags insider-buy/sell × volume-spike co-occurrence.
Schema-controlled Python research system for equity factor research, synthetic validation, portfolio accounting, backtesting, and empirical-data readiness.
Quill - Deterministic, risk-governed multi-agent trading engine for US equities. A strategy swarm proposes orders; an independent risk guardian has final say. Paper mode by default, gated live Robinhood MCP execution.
A Python research framework that tests whether stock factor models really explain market behavior, or just look accurate because of hidden proxy effects.
Add a description, image, and links to the us-equities topic page so that developers can more easily learn about it.
To associate your repository with the us-equities topic, visit your repo's landing page and select "manage topics."