Custom AI Strategy for Crude Oil (WTI) Trading

Crude Oil (WTI) averages over 1.2 million contracts traded daily on the NYMEX — more daily dollar volume than most equity indices. That liquidity cuts both ways: the same depth that allows institutional block execution also masks the stop hunts, inventory-driven gaps, and geopolitical spike reversals that consistently destroy retail edge. A generic strategy built on standard momentum or trend inputs will not survive a single EIA report season.

WTI demands a purpose-built approach. Its price action is shaped by a specific set of variables — U.S. inventory builds and draws, OPEC production decisions, refinery utilization rates, and the dollar index relationship — that simply do not apply to equities or crypto. Applying a recycled RSI-crossover system to WTI is the equivalent of using a weather model built for London to forecast Texas summers.

This page shows you exactly how to use Assistly’s Custom Strategy tool to build, articulate, and pressure-test a rules-based AI strategy tailored specifically to WTI Crude Oil. You will leave with a working prompt framework, a session workflow, and a clear understanding of which strategy structures actually fit WTI’s volatility profile.

Why WTI Crude Oil Requires a Dedicated Strategy Architecture

WTI’s correlation structure shifts depending on macro regime. In a risk-off environment, crude tracks the dollar inversely and equities directionally. In a supply-shock environment — think the 2022 Russia-Ukraine escalation — those correlations break entirely and price moves purely on physical supply narratives. A strategy that does not account for regime context will fire entries at exactly the wrong moments.

WTI also has a well-documented intraday pattern tied to the U.S. trading session open and the 10:30 AM ET EIA Petroleum Status Report. Price behavior in the 30 minutes surrounding that release is structurally different from any other commodity. Spreads widen, volume clusters, and false breakouts occur at a measurably higher rate. Your strategy needs explicit rules for this window — either a hard filter to avoid trading it, or a defined setup to exploit the post-report resolution move.

Seasonal patterns add another layer. WTI historically builds pressure into the spring driving season demand buildup and softens post-Labor Day. These are not background noise — they are tradeable regimes. A custom AI strategy gives you a structured way to encode these layers rather than holding them loosely in your head.

• EIA Petroleum Status Report every Wednesday 10:30 AM ET — highest intraday volatility window
• OPEC meeting calendars create multi-day sentiment shifts before and after announcements
• Dollar Index (DXY) inverse relationship — factor into entry confirmation logic
• Contango vs. backwardation in WTI futures curve signals supply/demand balance shifts
• Refinery utilization data (weekly) affects crack spread and downstream demand signals
• Seasonal demand cycles: Q1 heating oil, Q2 driving season buildup, Q4 supply management

Defining Your WTI Edge Before Prompting the AI

Before opening Assistly’s Custom Strategy tool, you need one honest answer: what is the specific market condition in WTI where your read has historically been correct? Not a general bias — a specific condition. Examples: you have an edge reading post-EIA price action when the inventory number deviates more than 2 million barrels from consensus. Or you consistently identify the range boundaries correctly when WTI is in a 10-day compression pattern before a major OPEC announcement.

Specificity is the input that generates useful AI output. If you tell the strategy tool ’I want to trade oil breakouts,’ you will receive a generic framework. If you tell it ’I want to trade WTI breakouts from 5-day ATR compression specifically in the 48-72 hours before an OPEC communiqué, using volume and open interest expansion as confirmation,’ you will receive a structured strategy with actionable logic.

Spend five minutes writing your edge statement before your Assistly session. One paragraph. What setup, what confirmation, what context, what timeframe. That paragraph becomes the foundation of your first prompt.

You are a commodity trading strategy architect specializing in WTI Crude Oil futures.

I trade WTI on the [TIMEFRAME] chart and my edge is [DESCRIBE YOUR SPECIFIC SETUP].
Key filters I want to apply: [e.g., avoid EIA report window / require DXY confirmation / use volume expansion filter].
Risk parameters: max [X]% per trade, daily stop at [Y]%.

Build me a rules-based strategy with: entry conditions, confirmation checklist, position sizing logic,
stop placement methodology relative to WTI's ATR, and explicit trade invalidation rules.
Flag which rules are most sensitive to OPEC and EIA calendar events.

The Assistly Custom Strategy Workflow for WTI

Open the Custom Strategy tool and set your asset context to WTI Crude Oil in the first message. Establishing asset context upfront prevents the AI from defaulting to equity-market assumptions in its logic — WTI’s margin structure, session hours, and volatility profile all differ from stock or crypto inputs.

Run the session in three phases. Phase one: strategy construction — use the prompt block above to generate your core rule set. Phase two: stress testing — ask the AI to identify the three market conditions where this strategy would have produced its largest drawdowns historically, and request rule modifications to address each. Phase three: execution checklist — ask for a pre-trade checklist specific to WTI that includes calendar checks (EIA, OPEC, Fed rate decisions that move DXY), technical confirmation steps, and position sizing verification.

Export your final strategy document and review every rule against your actual trading history. The AI builds logic from your inputs — if your edge statement was accurate, the output will be accurate. If you inflated your edge or left gaps, the review step will surface them.

Position Sizing and Stop Logic Specific to WTI

WTI’s average true range runs between $1.50 and $3.50 per barrel depending on volatility regime — that translates to $1,500 to $3,500 per standard futures contract per day. A fixed dollar stop that works for an equity position will be structurally too tight for WTI and will generate stop-outs on normal intraday noise rather than actual trade invalidation.

ATR-based stop placement is standard practice in commodity futures, but the multiplier matters. A 1x ATR stop on WTI in a normal volatility regime is reasonable for a swing trade. During an OPEC week or active geopolitical event, that multiplier should expand to 1.5x-2x or position size should decrease proportionally. Encode this directly into your custom strategy as a volatility-adjusted position sizing rule.

Ask Assistly to calculate your specific contract size and stop distance for your account equity and risk tolerance. Input your account size, max risk per trade as a percentage, and current WTI ATR. The tool will return exact contract quantities and stop levels — eliminating the mental math that causes sizing errors in fast-moving crude oil markets.

• Standard WTI futures contract: 1,000 barrels — high per-tick dollar value requires precise sizing
• ATR multiplier for stop placement: 1.0x normal conditions, 1.5-2.0x OPEC/EIA event weeks
• Micro WTI contracts (MCL) available at 1/10th size — use for strategy testing at reduced risk
• Never size a WTI position assuming maximum liquidity — spreads widen significantly outside U.S. hours
• Daily loss limit rule: if WTI gaps more than 2x ATR on open, reduce position size by 50% for that session

Refining Your Strategy After Live Market Exposure

No strategy survives first contact with live WTI markets without modification. The value of a custom AI strategy is not that it is perfect at inception — it is that it is documented. When you have a written rule set, a losing trade tells you something specific: either the rule was wrong, or execution deviated from the rule. Without documentation, every loss is ambiguous.

After two weeks of live or paper trading, return to Assistly with your trade log. Paste in your entries, exits, and outcomes alongside your original rule set. Ask the AI to identify which rules were most frequently violated and which setups generated the largest variance from expected outcomes. This creates a feedback loop that tightens strategy logic with real WTI data rather than theoretical assumptions.

WTI strategies that survive six months of iteration — through at least one OPEC cycle, one EIA surprise, and one macro risk-off event — have genuine structural edge. Most do not survive because the review process never happens. Build the review session into your calendar the same way you track the EIA report date.