Three checkpoints in this guide
Follow the full walkthrough in order, or jump directly to one of its main sections.
A trading plan is useful only when another person could read it and reach the same yes/no decision you would. It should identify the market and account, define an eligible setup, cap risk before entry, specify order and exit behavior, say when trading stops, and state how the rules will be reviewed. A slogan such as “trade with discipline” is not a rule.
This page provides a complete copy-and-fill trading plan template, a worked example, and a change-control process. No template can make a strategy profitable or make leveraged trading safe. In the headline, “works” means the format is executable, auditable, and versioned—not that it guarantees a return.
Without a written plan, you cannot grade your own execution consistently. A winning trade may have broken the rules and a planned loss may have followed them. The written version supplies the benchmark that lets a later review separate process adherence from outcome.
1. What a Written Trading Plan Must Do
The direct answer: write the decisions that must exist before an order, not a story about the trade afterward. The CFTC advises traders to use risk capital and develop a plan suited to their own situation and risk tolerance. CME’s trade-plan curriculum similarly separates objectives, methodology, risk management, entry and exit strategy, and the trade log. Those sources support the structure; they do not validate any particular setup or percentage.
| Document | Question it answers | When it changes | Failure signal |
|---|---|---|---|
| Trading plan | What am I allowed to trade, how is risk capped, and when must I stop? | Only through a dated review and new version | A live decision requires improvising a missing rule |
| Setup checklist | Is this exact opportunity eligible now? | When the parent setup is revised | Two reviewers can grade the same chart differently |
| Trade journal | What was planned, executed, and observed? | Every trade and review | The log cannot distinguish rule-following from outcome |
| Review note | Does evidence justify keeping, testing, or retiring a rule? | At the pre-committed review gate | A losing day triggers an unplanned rewrite |
A plan should be as short as it can be without hiding a decision. A one-page operating sheet plus a longer setup annex is often easier to use than either an arbitrary page limit or one giant document. Readability is a workflow test, not an industry standard.
2. The Complete Trading Plan Template
Copy the fields below into a document, spreadsheet, or journal. Replace every bracketed prompt. If a field does not apply, write why; do not silently delete it. Values shown later in the worked example are illustrations, not recommended limits.
A — Scope, Account, and Venue
B — Setup and Entry
C — Risk and Position Size
D — Orders, Exits, and Failure Handling
E — Routine, Review, and Change Control
3. How to Fill the Template Step by Step
Choose the exact market, account, and operating window
“I trade forex” or “I trade crypto” is not enough. Record the exact instrument, contract or pair, venue, account mode, permitted direction, session or maintenance boundary, and the data source used for decisions. CME’s methodology lesson asks traders to identify the markets, when they are open, available equity, and willingness to risk. The CFTC separately warns that experience in one market may not transfer to another.
Make the account state explicit. A personal cash account, margin account, simulated evaluation, funded-simulation program, and live exchange-routed account can have different loss mechanics and permissions even when the screen shows the same headline balance. Link the official rule page and add a verified date; memory is not a source.
Turn a setup into a testable decision
Give each setup one stable name and version. Then write context, required conditions, trigger, invalidation, and disqualifiers as observable statements. “Strong momentum” is not reproducible. “The named input is above its pre-defined threshold at the close of the decision bar” can be checked—provided the indicator, timeframe, data source, and threshold are defined elsewhere in the plan.
- The account, instrument, session, and setup version match the plan.
- Every required condition is present and no disqualifier is present.
- Planned entry, invalidation, target logic, estimated costs, and quantity are recorded.
- Existing positions do not breach the combined or correlated-risk cap.
- The account remains inside every broker, exchange, and exact-program rule.
- A pre-entry chart or equivalent evidence is saved before the order.
Define the loss budget before quantity
Do not copy a universal percentage from an article. Start with money you can afford to lose, your account agreement, product leverage, liquidity, and the worst credible execution path. The CFTC’s pre-trade checklist asks whether the trader has identified the amount of risk and loss they can sustain; CME asks for intended leverage, maximum trade loss, maximum day loss, simultaneous positions, and total exposure.
Estimated loss per unit includes the distance from intended entry to invalidation, contract/pip/point value, and a documented allowance for costs and adverse execution. Product rules can make this simple formula incomplete; verify margin, option payoff, liquidation, gap, and venue mechanics before use.
Round quantity down to a valid unit and recalculate total planned loss. If the minimum tradable unit exceeds the budget, the valid size is zero. For prop accounts, size from usable loss room and the exact program phase—not the advertised account label. The prop-firm position-sizing guide shows that distinction in detail.
Calculate the quantity, then copy the inputs into the plan
Use TSB’s free calculator as arithmetic support. Verify contract value, pip value, fees, leverage, and the account’s actual rules independently.
Write order behavior—not just chart levels
An entry price and stop line do not fully specify execution. For securities, Investor.gov explains that a market order seeks immediate execution but does not guarantee the price, while a limit order controls the acceptable price but may not execute. Its August 18, 2026 stop-order bulletin also notes that a stop price is a trigger rather than a guaranteed execution price and that broker trigger standards can differ. Futures, options, forex, and crypto venues may implement different order types, triggers, protections, and liquidation paths, so the plan must point to the rules for the actual venue.
| Decision | Write in the plan | Failure case to model |
|---|---|---|
| Entry | Order type, trigger, limit/stop price logic, time in force, partial-fill handling | No fill, delayed fill, partial fill, price gap, rejected order |
| Protective exit | Invalidation condition, order type, placement timing, modification rights | Gap through trigger, slippage, unavailable order type, liquidation first |
| Profit exit | Target/trail/time/opposing-signal logic and quantity at each step | Partial fill, fast market, target unavailable, remaining quantity error |
| Operational incident | Backup access, broker/venue contact, permitted risk-reducing action | Data freeze, platform outage, lost connection, duplicate order |
Define stop conditions and a review rhythm
A daily stop can be based on loss, rule breach, operational error, trade count, time, or a combination. It should be decided while calm and should never be looser than an account’s hard limits. A break after a particular losing streak or number of minutes is an optional personal control, not a scientifically universal reset.
- Before the session: confirm the current plan version, venue status, event calendar, risk room, and whether any existing position changes exposure.
- Before each order: run the setup gate and save the planned state before the result is known.
- After each execution: reconcile fills, costs, quantity, and whether the action matched the plan.
- After the session: grade adherence separately from P/L; a profitable violation is still a violation.
- At the review gate: compare like-for-like trades, document uncertainty, and decide whether to keep, test, or retire a rule.
4. Filled Trading Plan Example
This is a deliberately generic simulated example. It demonstrates specificity; it is not a strategy recommendation and does not claim an edge. Replace every line with evidence from your own market, venue, and testing.
| Field | Illustrative entry | Why it is auditable |
|---|---|---|
| Environment | Simulation only; one named liquid instrument; one stated time zone and session | Account state and eligible observations are bounded |
| Setup | Setup A v1; context, trigger, and invalidation each use pre-defined fields | The label connects plan, test, and journal records |
| Risk | 1R is the pre-committed maximum planned loss; total open risk cannot exceed 1R | Results can be compared without pretending the account label is risk capital |
| Entry | Submit only after the trigger; cancel after the stated time or if a disqualifier appears | Late and improvised entries become identifiable violations |
| Exit | Protective and profit-exit logic are recorded before entry; actual fill can differ | The journal separates planned levels from execution |
| Session stop | Stop after the first hard-rule breach, operational-control failure, or the chosen R limit | The stop is triggered by observable state, not mood |
| Review | Freeze v1 until the dated gate; compare only eligible Setup A v1 records after costs | The rule is not rewritten to explain yesterday’s outcome |
5. Personal, Prop-Firm, and Crypto-Exchange Variants
The core template stays the same, but the authoritative constraints change. Do not paste one market’s defaults into another.
| Context | Risk base | Extra fields | Source of truth |
|---|---|---|---|
| Personal broker account | Cash/equity and personal loss capacity, subject to margin | Buying power, settlement, borrow, gap risk, tax-lot or account restrictions | Broker agreement, order policy, venue and regulator disclosures |
| Prop program | Usable room to the nearest binding limit in the exact phase | Program ID, account size, region, daily/max loss mechanics, consistency, days, payout and conduct rules | Exact current program dashboard, agreement, and official rules |
| Crypto exchange | Collateral actually at risk under spot, margin, or derivatives mode | Leverage, liquidation/mark price, funding, fee tier, maintenance, custody, API and jurisdiction limits | Exact exchange product specification, fee schedule, status page, and account terms |
The CFTC warns that leverage amplifies virtual-currency trading risk and that customers should understand how settlement or reference prices are determined. A generic “crypto trades 24/7” line is therefore not an operating rule: the plan must state the exact venue, product, maintenance behavior, funding clock, collateral, liquidation reference, and backup procedure.
No firm or exchange card appears on this page because no named provider determines the generic template. When a specific program or exchange is part of a later guide’s decision, that guide should render its exact canonical server-side card instead of copying live terms into prose.
6. Goals, Journal Fields, and Change Control
A profit target can create pressure to manufacture trades when eligible setups do not exist. Keep financial objectives visible as constraints, but grade controllable execution separately: eligible setups taken, disallowed trades avoided, planned risk respected, costs captured, and evidence completed. Do not call plan adherence proof of profitability; it only tells you whether the strategy received a fair test.
CME’s trade-log lesson recommends recording items such as entry and exit points, targets, time, technical inputs, news context, drawdown, and performance by system. Add the plan version, setup version, pre-trade eligibility, planned and actual risk, estimated and realized costs, maximum favorable/adverse excursion where available, and a binary rule-adherence grade. The trade-review workflow shows how to turn those fields into a repeatable post-session audit.
Do not use a universal “50 trades” rule
No fixed sample count makes a strategy statistically significant. Required evidence depends on event frequency, outcome dispersion, dependence between trades, the size of the effect being tested, costs, and the precision needed for a decision. Pre-commit an eligible sample definition and review date; report the count and uncertainty; keep backtest, replay, simulation, and live observations distinct. The sample-size guide explains why a threshold must come from the question and data rather than a slogan.
At a review gate, compute net results after costs, expectancy by setup, distribution of R outcomes, drawdown, and adherence. Use the expectancy formula guide to keep win rate, average win, average loss, and sample size visible instead of compressing the evidence into one headline percentage.
- Freeze: name the current plan and setup versions before collecting the next sample.
- Diagnose: separate execution deviations, data defects, market-regime differences, and strategy outcomes.
- Propose: write one change, its mechanism, expected trade-off, and failure criterion.
- Replay: apply the new rule to chronological data without peeking or selectively excluding losses.
- Forward test: use simulation or the smallest appropriate exposure; never infer safety from a backtest alone.
- Version or roll back: record the decision, date, evidence window, and exact prior version.
7. Use TSB as the Evidence Layer
8. Common Trading Plan Mistakes
- Using inspirational language as a rule. Replace “be patient” with the exact condition that permits or cancels an order.
- Copying somebody else’s risk percentage. A number without loss capacity, account mechanics, liquidity, and leverage is not a risk assessment.
- Treating a stop as a guaranteed fill. Document the actual order, trigger policy, slippage, gap, liquidation, and outage path.
- Changing multiple variables together. The next sample cannot identify which change caused the difference.
- Grading by outcome. A winning rule breach remains a breach; a compliant loss remains evidence about the strategy.
- Leaving emotion rules undefined. If urgency, anger, or fear matters, specify an observable response and log when it fires. The revenge-trading guide provides a bounded review protocol without diagnosing the trader.
- Ignoring source drift. Version the official rule links and verification date whenever the account, program phase, exchange product, or venue changes.
9. Methodology and Primary Sources
This fact cycle used the page’s GSC and GA4 diagnostic snapshot, the production-read-only guide export, local TSB product truth, and current first-party or regulator material. Examples are labeled; no performance threshold is presented as universal. The plan is educational analysis, not individualized financial advice, and no strategy, order, stop, or journal can guarantee execution or profit.
- CFTC — risk capital, market differences, and a personal trading plan
- CFTC — checklist before trading futures or options
- CME — trade-plan objectives and self-assessment
- CME — market, schedule, equity, and risk methodology
- CME — leverage, trade loss, day loss, and exposure
- CME — exact entry, exit, setup, and trigger criteria
- CME — trade-log and daily-review fields
- CME — stop distance, risk budget, and position size
- Investor.gov — market and limit order behavior
- Investor.gov — stop, stop-limit, and trailing-stop risks; updated August 18, 2026
- CFTC — leverage and virtual-currency market risk
- FINRA — day-trading risk disclosure
