Speculative Markets

Commodities: 10 AI prompts for finance workflows

Use these Commodities prompts to turn a loosely defined finance task into a clearer, copy-ready AI workflow.

Edit highlighted fields Copy-ready prompt

Copy-ready Commodities finance prompts

Contango, Backwardation, and Roll Yield

Medium

Explains how futures-curve shape and contract rolling can help or hurt exposure held through futures, ETFs, ETNs, or CFDs.

ID 142
Act as a commodity term-structure educator. I want exposure to commodity through futures/ETFs/ETNs/CFDs. Explain contango, backwardation, convergence, contract rolling, and roll yield for the selected vehicle. For a goal of ETF portfolio basics, compare suitable structures, favorable and unfavorable curve conditions, tracking error, credit or issuer risk, and rules for entry, holding, and exit.

Commodity Futures Specifications and Rollover

Medium

Turns contract size, tick value, margin, hours, expiration, settlement, daily limits, and rollover into an operational checklist.

ID 143
Act as a futures-operations educator. I want to trade the crypto market. Summarize contract size, tick size and value, multiplier, margin, trading hours, liquidity, expiration, settlement, price limits, delivery risk, and rollover. Add a pre-trade checklist and scenarios for gaps, limit moves, illiquid hours, margin changes, and accidentally trading or holding the wrong contract month.

Commodity Event Risk: Inventories, OPEC, Weather, and Crops

Beginner

Defines controls for inventories, producer meetings, weather, crop reports, geopolitics, and other events that can rapidly change liquidity and volatility.

ID 144
Act as a commodity event-risk strategist. I trade energy/metals/agri through instrument with an intraday/swing horizon. Identify relevant scheduled and unscheduled events and how spread, depth, gaps, and volatility may behave. Define position-size and stop rules, whether to hold or close, a no-trade window, and a post-event re-entry process. Require current event times and instrument rules to be verified.

Interpreting Commitments of Traders Data

Medium

Uses COT reports as delayed positioning context rather than an automatic entry signal and makes category and methodology limits explicit.

ID 145
Act as a commodities positioning analyst. I follow commodity and will use COT data for a swing/position horizon. Explain participant categories, report timing and revisions, concentration, net and gross changes, and which shifts may matter. Combine positioning with price trend and term structure, identify three common misreads, and end with a checklist that never treats COT alone as a trade trigger.

Commodity Spreads and Curve Trades

Medium

Explains relative trades across maturities or products and how their margin, liquidity, execution, and risk differ from outright direction.

ID 146
Act as a commodity-spread and risk specialist. I want to study calendar spreads / crack spreads / crush spreads / inter-commodity spreads. Explain the economic drivers, contract ratios, seasonality, curve exposure, margin, liquidity, and execution risk compared with outright positions. Show how to connect a spread to a testable thesis and define entry, exit, invalidation, and two adaptable templates with failure modes.

Commodity Trade Sanity Check

Medium

Reviews a commodity idea for weak assumptions, curve and vehicle mismatch, event risk, and conditions that should prevent the trade.

ID 147
Review my commodity idea in eight points using commodity, vehicle, 15-minute data, trend-following strategy, entry, stop, target, and event risk. Separate facts from assumptions, summarize the three strongest supporting arguments, the three most important failure modes, and two conditions that make it a no-trade. Flag any missing curve, liquidity, contract, or cost information.

Commodity Leverage and Margin Check

Medium

Tests whether a position can withstand an adverse move and margin expansion without putting a disproportionate share of the account at risk.

ID 148
Using $10,000, instrument, position size, and stop distance, calculate expected loss at the stop, notional and effective leverage, margin use, and a scenario with twice the assumed volatility. Explain gap, limit-move, and margin-change risk, assess whether the exposure is consistent with the stated risk limit, and identify which change most improves survival: smaller size, a different stop, or a different vehicle.

Curve and Catalyst Trade Template

Medium

Summarizes a commodity trade through curve state, catalyst, vehicle, entry, invalidation, risk, holding rules, and exit rules.

ID 149
Create a trade plan using only these headings: Curve State, Catalyst, Vehicle Choice, Entry Trigger, Invalidation, Risk Size, Hold Rules, and Exit Rules. Use commodity, curve: contango/backwardation/flat, catalyst, vehicle, and 15-minute data. Distinguish observed curve data from the catalyst hypothesis and include a no-trade condition.

Commodity Portfolio Exposure Map

Pro

Detects concentration across commodities, currencies, and related equities that depend on the same macroeconomic or geopolitical drivers.

ID 150
Act as a commodity portfolio-exposure analyst. Here are my positions or ideas: list vehicles + direction + size. Group exposure by energy, metals, and agriculture; USD sensitivity; growth, inflation, and risk-off drivers; geography; and correlation clusters. Identify repeated bets disguised as diversification, explain unstable correlations, and propose cluster limits and possible hedges with their costs and basis risks.

Copy the full subcategory

Includes subcategory info, prompt IDs, descriptions, difficulty, and prompt text.

How to use AI prompts for commodity research

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.

  • Identify the commodity, grade, geography, contract month, delivery terms, currency, and analysis date.
  • Review production, consumption, inventories, transport constraints, weather, seasonality, substitutions, and the futures curve.
  • Test sensitivity to the dollar, rates, geopolitics, regulation, and position crowding while citing current primary data.