Trading Journal for Prop Firm Traders — Track Drawdown Rules and Stay Funded

You can lose an FTMO challenge while you're up on the day, breaching a 5% intraday drawdown even with a green closed P&L. A trading journal for prop firm traders has to watch that floor in real time, tag the breach, and warn you first. Trader+AI auto-captures every MT4/MT5 trade and layers prop-firm rule tracking plus an AI coach on top.

Why does a trading journal for prop firm traders need different metrics?

Generic journals answer retail questions: did I make money, what's my best setup, what's my profit factor on EUR/USD. Useful, but none of those get you funded — or terminated. A prop trader's survival rides on four numbers a normal journal never tracks.

Those numbers are about proximity, not profit. You can have a green month and still blow the account on one bad intraday swing. The firm isn't grading your edge. It's grading your distance from the floor, tick by tick.

• Daily drawdown headroom. Firms track intraday equity, not closed P&L. You need live distance to the floor.
• Total drawdown floor. Static or trailing — and trailing floors move up with every new high.
• News rule compliance. Most firms block trading within 2–5 minutes of high-impact news. A journal that logs "EUR/USD long at 14:29:58" but ignores NFP at 14:30:00 is useless here.
• Position size vs equity. A trade risking 3% on one position gets flagged on review even when it wins.

What does a prop-firm journal actually need to capture?

It needs continuous, second-level equity — not closed-trade snapshots. Without a live equity curve you can't reconstruct whether you violated a daily or trailing drawdown. Four constraints cover almost every firm.

Constraint	What the journal needs
Daily drawdown	Live equity, start-of-day reference, % to floor
Total drawdown	Starting balance, static vs trailing floor logic
News rule	Entry timestamp to the second, cross-referenced to the news calendar
Position size	Risk per trade as a % of current equity

Daily and total drawdown both depend on capturing equity at every tick. The news rule depends on second-level timestamps. Position size depends on knowing equity at the moment of entry, not at end of day. Miss the continuous data and the whole rule layer collapses.

How does Trader+AI track each rule?

It captures everything from a read-only Expert Advisor, then tags prop-firm mistakes as structured data the analytics layer can query. No broker API keys, no daily CSV upload.

Automatic capture from MT4/MT5

You install the EA once on a chart, paste your webhook URL and secret, and it streams every open, close, partial, SL/TP change, pending order, balance change, and equity change over an HMAC-signed webhook. That continuous equity feed is exactly what the rule layer runs on.

Built-in prop-firm mistake tags

The mistake taxonomy in the journal ships with prop-specific tags: broke daily drawdown, broke total drawdown, breached news rule, oversized position, traded outside session. These are structured, not free-text, so you can ask "how often did I tag 'broke daily drawdown' in the last 30 days?" and get a real answer.

Plan adherence from the coach

The AI coach reads your trades, journal entries, mood logs, and your stated plan, then scores each session. Said max 3 trades and took 7? The coach knows, and it shows up in your evening review.

What does this look like on a real FTMO challenge?

Take a $100K FTMO Phase 1: 5% daily drawdown ($5,000), 10% total ($10,000, floor at $90,000), 8% target ($108,000), 4 minimum days, news restricted within 2 minutes of red events. You open at 08:00 London, take three EUR/USD trades, sit +$1,800 by lunch, then a fourth after NY open swings $2,900 against you. You close at -$1,100 on the day.

Your evening review reads:

• Daily P&L: -$1,100
• Daily DD usage: $2,900 of $5,000 — 58%, flagged amber
• Total DD usage: $1,100 of $10,000 — 11%
• Profit target: -14%
• Trade #4: "took loss after 2 winners" pattern, flagged by the coach
• News check: entered 14:31:42; CPI printed 14:30:00 — flagged as a news-rule edge case
• Plan adherence: 75% — you said max 3 trades, you took 4

That's a sharper review than "lost $1,100, oh well."

How does the AI coach help a prop trader stay funded?

It does three things a static dashboard can't. It flags rule proximity mid-session, catches revenge trades by size and timing, and tracks your adherence trend before it costs you a challenge.

Ask "how am I doing today" mid-session and it answers in context: "You're at 42% of daily DD with 4 hours left in NY. Your last 6 sessions past 50% ended in violation. Consider stopping." Take a 2x-size trade within 3 minutes of a loss and it tags the revenge trade in your review. Watch adherence slide from 92% to 71% over two weeks and it surfaces the conversation before, not after, the next fail.

Plans

The Free plan covers 1 account with CSV-only import and 5 AI queries a day — fine for testing the workflow on historical statements. Live prop trading wants Pro ($19/mo): live EA streaming, 3 accounts, and 50 coach queries daily. Premium ($49/mo) adds 10 accounts and unlimited queries if you're running combined challenge and funded books. Full breakdown on pricing.

Get started

1. Sign up at traderplus.ai — free, no card
2. Add your account and pick the firm template (FTMO, FundedNext, MFF, The5%ers, or generic)
3. Set starting balance, daily DD %, total DD %, and trailing vs static
4. Drop the MT4 .ex4 or MT5 .ex5 EA on any chart in the prop terminal
5. Paste your webhook URL and secret, enable AutoTrading
6. Take your next trade — it lands in the journal in seconds

Connect the account, then spend five minutes writing your trading plan into the journal so the coach can score adherence against it. That single habit is what separates traders who pass on the second attempt from traders who fail the same way five challenges running.