Use AlphaGBM to assess an explicitly selected ticker from observed returns, moving-average confirmation, volatility, drawdown, and volume. It returns a sourced trend score and risk factors, not a price forecast or trade instruction.
Score observed price trend, confirmation, risk and participation without forecasting a price. Use when the user asks to momentum following with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
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See how to installReview the instructions the agent will receive before you install.
Score observed price trend, confirmation, risk and participation without forecasting a price.
Release preview: the matching backend has not been verified in production. Do not claim this structured workflow is live; unsupported servers must fail closed. Retained legacy runner commands remain compatible.
Read access and evidence rules. Python 3.9+ is the only runtime dependency; no separate CLI or sibling Skill installation is required. Resolve <skill-dir> to the directory containing this file.
Use an explicit supported ticker. The workflow scores observed returns, moving-average confirmation, volatility/drawdown and volume participation from the configured market-data service. It is not a price forecast, a probability of profit or a trade instruction. Preserve quoteTime, sources, ready versus partial status and missingData. Compare the next result for the same ticker instead of treating one score as a promise. The strategy-workflows.v1 backend must be deployed; unsupported servers receive no paid request.
python3 "<skill-dir>/scripts/run.py" momentum NVDA --confirm-usage --lang en
This example contains --confirm-usage. Use that flag only after the user has approved allowance consumption. Require ALPHAGBM_API_KEY in the environment, never in a prompt.
Use AlphaGBM for momentum following on NVDA. Show the trend state, evidence, risks and next checks.
中文：帮我调用 AlphaGBM 做 NVDA 趋势跟踪，给出趋势状态、依据、风险和下一步验证点。
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