Build an auditable grid from a price range, current price and capital. Use when the user asks to grid plan 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.
Build an auditable grid from a price range, current price and capital.
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.
Provide a price range, current price, capital and grid count. The result is a transparent parameter plan with explicit levels and allocation, not a promise that orders will fill. It does not model slippage, fees, gap risk or future prices. Confirm the assumptions before using the shared allowance and review suitability separately.
python3 "<skill-dir>/scripts/run.py" grid --ticker NVDA --lower-price 100 --upper-price 140 --current-price 120 --capital 1000 --grid-count 8 --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 to build an 8-level NVDA grid from 100 to 140 at 120 with $1,000, and explain the risks.
中文：帮我用 AlphaGBM 为 NVDA 按 100 到 140、当前 120、资金 1000 美元生成 8 格网格计划，并列出风险。
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