FTMO US Account MetriX Explained: Read Stats and Improve

Master FTMO US Account MetriX

Turn dashboard data into decisions that pass the Evaluation and grow your Rewards Account.

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Updated: August 27, 2025

What this guide covers: Where to find Account MetriX, what every metric means (in plain English), how to set green/yellow/red thresholds, and step-by-step routines to improve your stats. We’ll add tasteful CTAs and link to official FTMO resources. H2/H3 only—your H1 stays yours.

What is Account MetriX (and why it matters)

Account MetriX is the analytics dashboard inside your FTMO Client Area. It aggregates your trading activity and overlays the Evaluation rules (profit targets, Maximum Daily Loss, Maximum Loss, minimum trading days) so you always know where you stand. In the U.S. product—where everything is simulated and runs on MT5 (netting/FIFO)—MetriX functions like a “mission control”: it’s not just numbers; it’s your early-warning system for breaches and your scoreboard for consistency.

Pro tip: Think of MetriX as your objective partner. Your journal explains why a trade happened; MetriX shows what actually happened to the account. If the two disagree, fix the plan—not the dashboard.

How to access Account MetriX

  1. Log in to your FTMO Client Area.
  2. Open the Evaluation/Rewards account card you want to inspect.
  3. Click Account MetriX to view the dashboard panels (overview → risk → performance → breakdowns).

If you can’t see your latest trades, give the system time to process and check you’re looking at the correct account/order. For symbol issues or platform login tips, see our MT5 setup guide.

Every metric explained (and how to use it)

Metric What it shows How to act on it Target zone
Equity / Balance Account value now vs. start (equity includes open P/L; balance is closed P/L) Make decisions off equity for risk limits; celebrate gains on balance Rising, low variance
Max Daily Loss Largest permitted single-day drawdown including floating P/L Set a hard stop at ~90% of the cap (e.g., 4.5% if the cap is 5%) Never breached
Maximum Loss Total allowable drawdown from starting equity Throttle size when >50% of this buffer is used > 70% buffer intact
Profit Target Objective for the stage (higher in Challenge, lower in Verification) Translate to R-multiples so your plan focuses on process, not dollars Hit with ≤ 2 major swings
Minimum Trading Days Number of days you must place at least one new trade Front-load small trades on “quiet” days to keep flexibility later Met early
Win Rate % of trades closed green Pair with average win / average loss to judge expectancy Consistent by session
Reward/Risk (Payoff) Average win size divided by average loss size Increase take-profit distance only if your winners still hit often ≥ 1.2 for intraday; ≥ 1.5 swing
Expectancy Average R per trade: E = p·W − (1−p)·L Make tiny changes (±0.1R) that compound over many trades Positive and stable
Profit Factor Gross profits / gross losses Use to validate strategy quality across instruments and sessions ≥ 1.3 steady
MAE / MFE Max Adverse/Max Favorable Excursion per trade Place stops outside typical MAE; harvest partials before MFE stalls MAE small, MFE scalable
Streaks Longest win/loss sequences Automate session pause after 2 losses; resume next session Short red streaks

Reading risk limits the right way

  • Daily Loss counts floating P/L. A green morning can turn red if open trades reverse—MetriX reflects that. Flatten earlier if you’re close to your internal daily stop.
  • Maximum Loss is a career guardrail. If you use half the buffer, shift to defense: smaller size, fewer attempts, and stricter A+ filters.

Set practical thresholds (green / yellow / red)

Use these starter bands for common styles. Adjust once MetriX shows your real distribution.

Metric Intraday momentum Swing (multi-day) News trader
Per-trade risk 0.25%–0.5% 0.5%–1.0% 0.25% (halve around major releases)
Daily stop −2R to −2.5R −1.5% to −2.0% −1.5R (tight to control slip)
Total open risk ≤ 1.0% ≤ 1.5% ≤ 0.75%
Payoff (avg win / loss) ≥ 1.2 ≥ 1.5 ≥ 1.1
Win rate 45%–60% 35%–55% 40%–55%
See your own numbers in action? Start the FTMO US Challenge or use the Free Trial to practice with the same dashboard.

Turn MetriX into a daily routine (10-step loop)

  1. Pre-session: check buffer to Daily and Max Loss; if the cushion is thin, cut size by 50%.
  2. Plan two setups: one core, one backup. Write the invalidation level before you click.
  3. Set an internal stop: 4.5% of equity (or −2R), whichever hits first—stop the day.
  4. Cap open risk: do not exceed your style band (e.g., ≤ 1.0% intraday).
  5. After each trade: log thesis in your journal; MetriX logs the result.
  6. Mid-session check: if MAE balloons, reduce size; if MFE stalls, take partials sooner.
  7. Hit daily goal? Stop. Most Evaluation failures happen after a good morning.
  8. End-session: screenshot equity curve and MetriX overview; tag mistakes, not markets.
  9. Weekly: pull session/instrument breakdowns and cut one weak segment.
  10. Monthly: review Payoff × Win Rate matrix; adjust targets or entries, not both.

Session & instrument edges (what to look for)

Time of day

Many intraday strategies print best from London open → NY lunch. If your win rate slips after 2 p.m., make afternoons “maintenance only”: manage runners and journal.

Instrument mix

In MetriX, compare EURUSD vs. XAUUSD vs. US100. Drop the worst of the three for two weeks and re-measure Profit Factor. Fewer instruments often means cleaner discipline.

Expectancy math (simple and actionable)

Expectancy per trade (E) is the lever you actually control. Use R-multiples so everything normalizes to risk:

  • E = p·W − (1−p)·L, where p = win rate, W = average R on wins, L = average R on losses.
  • Small improvements stack: if you raise payoff from 1.2→1.3 or trim average loss from −1.0R→−0.9R, E can cross positive even with the same win rate.
  • Use MetriX to track these three dials weekly: win rate, payoff, and trade frequency. Change one dial at a time.

Diagnose your equity curve

Pattern Likely cause Fix using MetriX
Sawtooth (up, then sharp down) Giving back gains after a win Lock daily gains at +2R; stop new entries after target
Flat, then spike Too few A+ attempts Increase frequency slightly; keep risk constant
Downtrend Negative expectancy or over-trading Cut lowest P/F instrument; tighten rule to 2 attempts/day
Wide variance Size too large for stop distance Reduce per-trade % risk; re-place stops below typical MAE

Use MetriX to pass the Evaluation

  • Front-load minimum trading days. Enter one micro-trade on slower days early in the stage so you aren’t forced to trade later in bad conditions.
  • Defend the Daily Loss cap. “Hard stop” your platform at an internal limit below the official cap; MetriX confirms the cushion.
  • Think in R. Translate the Profit Target into R-multiples (e.g., 10% target ≈ 10R if risking 1% or 20R if risking 0.5%). Now your plan is math, not emotion.
  • Compounding is optional. Once you’re comfortably above target, you can reduce size to protect the pass. MetriX will tell you if variance is creeping up.

Common MetriX questions (quick answers)

Why doesn’t MetriX match my platform P/L to the cent?

Timing, rounding and how open trades are counted can create small temporary differences. Compare like-for-like (equity vs. equity, balance vs. balance) and allow for processing time.

Does Daily Loss include open P/L?

Yes—plan as if open trades count, because they do. A strong open that reverses late can push you into breach if you ignore floating losses.

Do I need to hit a minimum profit before requesting a reward on the U.S. product?

No set minimum beyond covering any transfer costs; the account must be in profit, and you must be flat when you request within the allowed window.

Advanced: simple risk-of-ruin check

You don’t need a PhD for risk of ruin. Use a back-of-envelope guard:

  1. Estimate win rate (p) and payoff (W/L) from MetriX.
  2. Compute expectancy E. If E ≤ 0, lower size or improve entry quality before adding frequency.
  3. Count how many consecutive full-loss trades would reach your Daily Loss or Max Loss. Design so that a typical losing streak doesn’t end the stage.

A sturdy baseline: 0.25%–0.5% risk per trade for intraday, 0.5%–1.0% for swing; total open risk ≤ your style band.

When your MetriX turns consistently green, step up: Start the FTMO US Challenge and aim for the Rewards Account.

U.S.-specific reminders that affect MetriX

  • Platform: MT5 only, netting (one position per symbol), FIFO-style reductions. No hedging.
  • Leverage: Moderate; size based on stop distance, not margin headroom.
  • News & weekends: U.S. account type allows both—great for swing/fundamental styles. Your MetriX will reflect weekend moves the moment markets re-price.
  • Symbols: Simulated instruments are clearly labeled; build a clean watchlist to avoid mixing feeds.

MetriX weekly checklist (copy/paste)

Task What to look for Action if off target
Profit Factor by instrument Underperformers vs. portfolio average Cut the lowest one for 2 weeks
Win rate by session London vs. NY consistency Trade only the stronger session
MAE/MFE ranges Stops too tight/loose; targets realistic Re-place stops, nudge targets by +0.2R
Streaks Long red vs. green streaks Hard stop after 2 losses; day off if 3
Daily Loss cushion Room between equity and cap Cut size 25% for a week if thin

From Evaluation to Rewards: keeping MetriX green

MetriX doesn’t retire after you pass. In the Rewards Account, it becomes your cash-flow guide. You can request a monetary reward only when your account is in profit, you’re flat, and you’re inside the allowed window. The same risk hygiene applies: defend your daily cap, favor A+ setups, and cut weak segments fast.

Ready to put MetriX to work?

Use this dashboard daily, trade your plan, and let the numbers tell you what to improve. When you’re ready, step into the Evaluation.

Start the FTMO US Challenge

Official resources

Disclosure: FTMO US provides a simulated, educational environment. Performance in simulation does not guarantee results in live markets.