Individual skill
alphagbm-dca-plan
Build a contribution schedule and calculate a supplied price-path cost basis without predicting returns. Use when the user asks to dollar-cost averaging with AlphaGBM. Use the bundled Python runner; never silently replace real results with demos.
skills/stocks/alphagbm-dca-plan/SKILL.md
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- Observed behavior
- Local scripts
- Last checked
- Nov 9, 2026
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- Repository last updated
- Oct 6, 2026
- License
- MIT
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SKILL.mdcore · 2,336 bytesSKILL.mdcore · 2,336 bytesagents/openai.yamlasset · 280 bytesreferences/access.mddoc · 2,461 bytesscripts/review_engine.pyruns · 16,028 bytesscripts/run.pyruns · 39,390 bytes
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# Dollar-Cost Averaging
Build a contribution schedule and calculate a supplied price-path cost basis without predicting returns.
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.
## Before running
Read [access and evidence rules](references/access.md). 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.
Provide contribution amount, frequency and number of periods. An optional comma-separated price path is treated as supplied history only; the returned average cost is not a forecast. The result does not predict returns, choose a security or place recurring orders. Confirm the assumptions before using the shared allowance.
## Run