How to Track Multiple Prop Firm Accounts in One Journal

Running one prop firm account is demanding. Running three or four simultaneously — each with its own drawdown rules, minimum trading days, and profit targets — is a discipline problem as much as a trading problem. Most traders who blow funded accounts don’t lose to the market; they lose to administrative chaos: wrong lot sizes on the wrong account, missing a trading day on one firm while focused on another, or misreading their drawdown cushion because their journal lumps everything together.

This guide is for intermediate traders who are actively funded or in challenge phases across multiple firms and want a single, structured journal that keeps every account clear and every rule trackable.

Step 1: Map Every Account to a Unique Label

Before logging a single trade, build a naming convention and stick to it. A workable format is: [FirmCode]-[Phase]-[AccountNumber]. For example:

• FTMO-EVAL-123456
• FNX-FUNDED-789012
• MFF-EVAL-345678

Apply this label to every trade as a tag or account field. The goal is instant filterability — you should be able to pull up all trades from your FTMO funded account in under five seconds. If your journal requires you to scroll or mentally reconstruct which trades belong where, your tagging is broken.

Consistency matters more than elegance. Pick a format, document it somewhere permanent, and never deviate.

Step 2: Standardize Your Trade Fields Across All Accounts

Cross-account analysis is only valid when the data is comparable. Define your standards once:

• Lot size: always express in standard lots (0.01 = 1 micro lot)
• R:R: always calculate using pips from entry to SL and entry to TP, not dollar values
• Session tags: use fixed labels — London, New York, Asian, overlap — not custom strings
• Setup tags: limit to 5-10 predefined setups and use them consistently

When every account uses the same field definitions, you can run a query like “show me all London session breakout trades across all funded accounts” and trust the result. If one account uses “NY open” and another uses “New York,” the filter fails and you lose insight.

Spend 30 minutes defining your field standards before you log trade one. It saves hours of cleanup later.

Step 3: Separate Evaluation and Funded Phases

Evaluation accounts are not the same as funded accounts. Challenge phases typically demand stricter rules: a 5% daily drawdown limit and a 10% total drawdown limit at FTMO, for instance, versus slightly more flexible terms on some funded accounts. More importantly, the psychological pressure differs — a failed evaluation costs an entry fee; a blown funded account costs real profit share.

Create two distinct account categories in your journal: Evaluation and Funded. Never merge their statistics. Track separately:

• Win rate by phase
• Average R by phase
• Maximum drawdown reached by phase
• Pass rate across evaluation attempts

If your win rate in evaluation is 58% but only 41% on funded accounts, that gap tells you something critical about how real money affects your execution — information you will miss entirely if the accounts are blended.

Step 4: Set Per-Account Risk Benchmarks

Every prop firm has specific rules. Log them as static reference data inside your journal, not just on the firm’s website. For each account, record:

Field	Example Value
Max daily drawdown	5% of starting balance
Max total drawdown	10% of starting balance
Minimum trading days	10 days (FTMO challenge)
Profit target	10% (Phase 1)
Account balance	$100,000

With a $100,000 account and a 5% daily drawdown limit, your hard stop for the day is a $5,000 loss. Convert that to lot sizes at your typical SL width — if you trade 20-pip stops, a $5,000 daily limit means your maximum position size for one trade is roughly 25 standard lots (assuming full loss). Most traders should be well under 50% of that ceiling.

Log your current drawdown status at the start of each trading session. A trade that would be fine in isolation can be account-ending if you forgot you already absorbed a 3% drawdown earlier in the week.

Step 5: Run a Weekly Cross-Account Review

Set aside 45-60 minutes every Sunday (or your week’s end) to review all accounts together. Structure it as:

1. Per-account summary: net pips, net R, drawdown status, days traded
2. Rule compliance check: did any account approach its daily or total drawdown limit?
3. Behavioral pattern scan: are the same setups failing across all accounts, or only one?
4. Correlation check: did you overtrade one account after losing on another?

The cross-account review is where multi-account journaling pays off. A setup that looks marginal on one account might show a clear losing edge when aggregated across all four. Conversely, strong performance on one account while others underperform often points to a specific session, pair, or emotional state worth isolating.

See the weekly trade review process for a full review framework you can adapt to multi-account tracking.

Pro Tips

• Keep a separate running log of each account’s drawdown consumed each day — a simple table with date, starting balance, and ending balance per account. Reviewing this weekly reveals whether you tend to blow drawdown early in the week or late.
• If you trade the same pair on multiple accounts simultaneously, log each trade independently with its own entry. Aggregating them hides execution differences between accounts.
• Track your challenge pass/fail rate as a standalone metric. If you have passed 2 out of 7 evaluations, your evaluation strategy needs work before you add more accounts.
• Use consistent lot sizing formulas across accounts rather than eyeballing. A 1% risk model on a $50,000 account means a maximum $500 loss per trade; on a $200,000 account it means $2,000. Recalculate explicitly for each account every time.
• If a firm changes its rules mid-challenge (some do), update your journal’s benchmark fields immediately and note the change date.

Common Mistakes to Avoid

1. Using the wrong lot size on the wrong account. Placing a position sized for a $200,000 account on a $25,000 evaluation account is one of the most common ways traders blow challenges. Verify account balance and drawdown limits before every session, not just every trade.

2. Blending evaluation and funded metrics. Your evaluation win rate is inflated by survival bias — you only see funded accounts for challenges you passed. Treat them as separate data sets or your edge measurements will be wrong.

3. Ignoring minimum trading day requirements. Several firms require 10-30 minimum trading days in a challenge. Traders who trade infrequently and then rush to hit the day count in the final week take low-quality setups. Log trading days explicitly and pace yourself from day one.

4. No cross-account behavioral review. Traders often detect a losing pattern on one account and adjust, not realizing the same behavior is running on their other accounts. A cross-account view catches this faster.

5. Losing track of active challenge deadlines. Some evaluations have time limits (30 days, 60 days). Log the expiry date in your journal with a visible countdown. Missing a deadline on a near-complete challenge is an avoidable loss.

How PipJournal Helps

PipJournal’s tag and account filtering system is built for exactly this workflow — you can assign each trade to a specific account, add firm-level tags, and switch between per-account and aggregated views in the analytics dashboard. The trade tracking workflow supports custom fields, so you can log firm-specific rule data alongside your trade data. The edge measurement tools let you compare win rate, average R, and expectancy across accounts side by side, making it straightforward to spot where your edge holds and where it breaks down under different account conditions.