Prop Firm Trading Journal: Track the Rules Before They Cost the Account
Product research based on TDLab workflows, hands-on testing and cited source material.
A prop firm trading journal is a record of trades, account rules and decision quality for an evaluation or funded account. A normal trade log shows what happened. A useful prop firm journal also shows how close the account came to its limits, which personal rule failed first and whether the trader's behavior changed under evaluation pressure.
The firm rules are not universal. Definitions, calculations, reset times and account conditions can change. Record the exact current terms from the firm's official material for each account instead of relying on memory or a generic template.
Short answer
Track firm constraints and personal discipline rules in separate fields. Review drawdown, daily results and account status, but also record setup quality, planned risk, rule adherence, post-loss behavior and the decisions that moved the account toward a limit.A product decision behind this guide
TDLab keeps every import, review and simulation tied to its source account. Aggregate views can reveal a repeated behavior, but the underlying account remains visible because evaluation, funded and personal accounts can operate under different limits.Start with an account rule sheet
Create one rule sheet per account and date it. At minimum, capture the fields that determine whether the account remains valid:
- account phase, platform and account identifier;
- profit objective, if the account has one;
- daily loss limit and the reference used to calculate it;
- maximum drawdown and whether its reference moves;
- balance-based or equity-based calculations;
- the timezone and event that resets a daily limit;
- minimum or maximum trading-day conditions, when applicable;
- position, instrument, news or session restrictions;
- consistency or payout conditions, when applicable;
- the official source and the date you verified each rule.
This is operational record-keeping, not legal interpretation. When a definition is unclear, confirm it with the firm before trading.
Separate firm rules from personal rules
Firm limits describe the boundary at which the account may fail or become ineligible. Personal rules should intervene earlier. Mixing them creates a dangerous assumption: that every action is acceptable until the official limit is touched.
Examples of personal guardrails include:
- a lower daily stop than the firm's maximum loss limit;
- a fixed maximum number of trades per session;
- a cooldown or size reduction after a loss;
- playbook-only entries after a drawdown threshold;
- a pause when execution quality or focus deteriorates.
Each personal rule should have a trigger, an action and a review state. Keep operating constraints in the trading plan and reserve the playbook for qualified setups and their execution criteria.
What to record for every prop firm trade
Keep the normal trade data, then add the context needed to audit risk and discipline.
- entry, exit, direction, size, fees and net P&L;
- planned risk and stop before entry;
- setup and playbook match;
- whether the trade followed the plan;
- execution quality and discipline mistakes;
- account state before and after the trade;
- distance from the relevant personal and firm limits;
- whether the trade followed a loss or a rule violation.
For the broader field structure, use the trading journal template. Keep firm-specific constraints on the account sheet so a platform rule is not confused with a property of the trade itself.

Do not merge unlike accounts into one conclusion
Evaluation, funded and personal accounts can have different constraints and incentives. Keep them identifiable in the journal. Aggregate views are useful for spotting a repeated behavior, but account-level review is necessary when the rules or drawdown models differ.
The same applies after a reset or a new evaluation. Preserve the historical account rather than overwriting its rules and results. Otherwise, the journal cannot explain which environment produced the behavior.
Passing is not the only process metric
A passed evaluation can contain oversizing or profitable rule breaks. A failed evaluation can contain valid trades inside a process with poor expectancy. Review the outcome and the decision quality separately.A weekly review for evaluation and funded accounts
- Verify that every trade and fee is present in the correct account.
- Reconcile the account state with the firm's dashboard or statement.
- Review plan adherence, execution quality and repeated mistakes.
- Inspect trades taken near a personal or official limit.
- Compare post-loss trades with the rest of the week.
- Choose one personal guardrail to keep, clarify or test.
The free trading journal spreadsheet keeps the underlying trades, plan states and review notes in one reusable record without copying the firm's full dashboard.
Reduce import friction without losing context
TDLab supports cTrader and MetaTrader sync plus file imports for supported reports and custom mappings. Start with the guide to importing trades from a file. Connected accounts can use the supported MetaTrader or cTrader sync flow, while futures traders can import supported NinjaTrader or Tradovate reports. Always reconcile the result with the source statement before relying on analytics.
Common questions
What should a prop firm trading journal track?
Track normal trade data, planned risk, setup, plan adherence, execution quality and mistakes. Add a dated account rule sheet with the exact current loss, drawdown, reset and trading constraints.
Should evaluation and funded accounts be kept separate?
Keep account identity and rules separate so each result can be interpreted correctly. You can still use an aggregate view to find a behavior repeated across accounts.
Does a journal prevent a prop firm rule violation?
No. A journal supports review and preparation; it does not enforce a firm's live limits or guarantee account eligibility. Verify rules with the firm and use the platform's current risk controls where available.
Keep every account rule in context.
Review evaluation, funded and personal accounts without mixing their constraints, while tracking the behaviors that move each account toward its limits.
