What problem does it solve? Investors often misread momentum by relying on gut feel or single indicators. This Skill produces a structured, evidence-based momentum score for a stock—covering trend state, moving-average confirmation, volatility/drawdown risk, and volume participation—without forecasting prices or issuing trade instructions. ## Core Features & Use Cases - Momentum Scoring: Runs the AlphaGBM strategy-workflows.v1 backend via a bundled Python 3.9+ runner to score observed returns, trend confirmation, risk, and participation for an explicit ticker. - Evidence-Preserving Output: Returns JSON with quoteTime, sources, ready/partial status, and missingData markers so results can be compared across runs rather than treated as promises. - Safe Access Controls: Requires ALPHAGBM_API_KEY in the environment and explicit --confirm-usage approval before any charged request; fails closed on unsupported servers. - Use Case: Ask your AI to run momentum following on NVDA and receive the trend state, supporting and counter evidence, risk factors, and concrete next verification checks in your language (English or Chinese). ## Quick Start Ask your AI to use AlphaGBM for momentum following on NVDA and show the trend state, evidence, risks, and next checks, approving allowance usage when prompted.
