Universal Commodities Trading Plan
Universal template MediumBuilds an energy, metals, or agriculture plan that accounts for instrument structure, futures curve, events, costs, exposure, and risk limits.
Use these Commodities prompts to turn a loosely defined finance task into a clearer, copy-ready AI workflow.
Builds an energy, metals, or agriculture plan that accounts for instrument structure, futures curve, events, costs, exposure, and risk limits.
Explains how futures-curve shape and contract rolling can help or hurt exposure held through futures, ETFs, ETNs, or CFDs.
Turns contract size, tick value, margin, hours, expiration, settlement, daily limits, and rollover into an operational checklist.
Defines controls for inventories, producer meetings, weather, crop reports, geopolitics, and other events that can rapidly change liquidity and volatility.
Uses COT reports as delayed positioning context rather than an automatic entry signal and makes category and methodology limits explicit.
Explains relative trades across maturities or products and how their margin, liquidity, execution, and risk differ from outright direction.
Reviews a commodity idea for weak assumptions, curve and vehicle mismatch, event risk, and conditions that should prevent the trade.
Tests whether a position can withstand an adverse move and margin expansion without putting a disproportionate share of the account at risk.
Summarizes a commodity trade through curve state, catalyst, vehicle, entry, invalidation, risk, holding rules, and exit rules.
Detects concentration across commodities, currencies, and related equities that depend on the same macroeconomic or geopolitical drivers.
Includes subcategory info, prompt IDs, descriptions, difficulty, and prompt text.
Commodity prompts should specify the physical market or exact futures contract because grades, delivery points, seasonality, and curve structure matter. Link the narrative to observable supply, demand, and inventory evidence.