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FTMO Journal Case Study 2026: -8.7% to +11.2%

This transparent FTMO journal scenario preserves the -8.7% to +11.2% path without inventing a customer or claiming the journal caused it. The first attempt contains 80 trades; the separate 18-day retest contains 52. Three versioned rules change, and every win rate, evidence rate, risk comparison, drawdown and P&L result uses a visible denominator.

Quick Answer

Select the exact program and phase, freeze every trade and exclusion, inspect overlapping grade, risk and session views, version one rule set and test it on later evidence. In this worked path, 80 trades end at -8.7% and 52 later trades end at +11.2%, but a first-stage result is not a funded account or proof of causality.

Exact FTMO programs for the challenge-journal worked scenario

Compare FTMO 1-Step and 2-Step at the same global/default $100K first evaluation stage. Check the current targets, loss rules, minimum days, Best Day coverage, platforms, price context and official sources before using the worked scenario.

GLOBAL · $100K · evaluation 1
Exact program facts for the normalized comparison scope
ProgramPriceTargetDaily lossMax lossMinimum daysPayoutPlatformsRestrictionsActions
1-Step ChallengeFTMOCheck priceSee current checkout price10%3%10% · EOD trailing—Reward request from day 14 after the first funded tradeMT4, MT5, cTrader, TradingViewBest-day limit 50%FTMO
2-Step ChallengeFTMOCheck price€54010%5%10% · Static4 trading daysReward request from day 14 after the first funded tradeMT4, MT5, cTrader, TradingViewNo additional restrictions in this scopeFTMO
Challenge replay · pass/fail evidence
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This reconciled FTMO journal scenario moves from an unsuccessful first attempt stopped at -8.7% to a separate 18-day attempt ending at +11.2%—without claiming that a journal caused the change or that one evaluation phase equals a funded account.

The constructed first attempt contains 80 trades; the second contains 52. Three versioned rules change between them: a smaller personal risk cap, required pre-trade setup evidence, and a daily stop after three consecutive closed losses. Every count, win rate, grade rate, and percentage-point result below uses a visible denominator.

Disclosure: Trader’s Second Brain is our product; FTMO is independent. TSB can preserve reviews and replay owned-account evidence against a selected rule snapshot. FTMO’s current terms and Account MetriX remain controlling. Use the program facts and official links above before applying the worked scenario to a paid attempt.

Quick answer: select the exact program and phase, freeze the attempt evidence, reconcile all trades and exclusions, find one observable execution pattern, version one rule set, and replay or test it on a later window. A better second result supports another test; it does not prove the journal, risk cap, or stop rule was the sole cause.

Choose the Exact FTMO Program Before Reading the Case

This worked path uses the global/default 100K FTMO 2-Step first-evaluation scope. FTMO 1-Step and 2-Step are not interchangeable: their targets, loss rules, minimum-day requirements, Best Day coverage, and later stages can differ. The comparison above keeps the two routes, current fields, official sources and checked dates separate.

The case never copies live program values into prose. Use the exact row that matches the selected program, phase, region, and account size, then preserve that rule snapshot with the attempt. FTMO’s official Trading Objectives remain the final source.

The FTMO journal setup guide shows which program identity, phase, daily state, and rule fields must stay attached to the trade evidence.

Attempt One: 80 Trades Ending at -8.7%

Constructed example—not a customer record or TSB cohort. The scenario covers 19 trading days. “Unsuccessful” means the trader stops under a personal risk policy at a closed-net cumulative result of -8.7%; the article does not relabel that number as a formal FTMO rule breach.

Attempt-one windowReconciled evidence
Days 1–1035 trades · 20 wins · 57.1% win rate · 30/35 A/B evidence · +4.2%
Days 11–1945 trades · 15 wins · 33.3% win rate · 17/45 A/B evidence · -12.9%
Complete attempt80 trades · 35 wins · 43.8% win rate · 47/80 A/B evidence · -8.7%

The P&L path closes: +4.2% − 12.9 percentage points = -8.7%. Counts close at 35 + 45 = 80; wins close at 20 + 15 = 35; A/B-reviewed trades close at 30 + 17 = 47.

The useful event is not simply that the curve fell. The later 45-trade window differs sharply in review evidence, frequency, risk records, and timing. Those dimensions create hypotheses for attempt two; none proves motive or causation by itself.

The Journal Review: Three Overlapping Views

A trustworthy journal does not add overlapping slices as if they were separate losses. The same trade may be C-grade, oversized, and outside the planned session. Each view below starts from the same 45-trade recovery window.

1. Pre-trade evidence grade

Grade sliceEvidence
C-grade / required evidence absent28 trades · 7 wins · 25.0% · -9.8 percentage points
A/B evidence present17 trades · 8 wins · 47.1% · -3.1 percentage points

The two rows reconcile to 45 trades, 15 wins, and -12.9 percentage points. The C-grade row carries 9.8 ÷ 12.9 = 75.97%, rounded to the preserved 76% of the window’s net decline. That is a descriptive contribution, not proof that grade caused the loss.

2. Planned-versus-actual risk

Risk evidence is usable for 41 of 45 trades; four are unavailable and remain visible. In the eligible 41, the stored median plan is 0.75% of the scenario balance and median actual risk is 1.05%: (1.05 − 0.75) ÷ 0.75 = 40% above plan. Median drift does not mean every trade risked 1.05%, and it cannot be multiplied by the loss total.

3. Session membership

Twelve of 45 trades occur outside the predeclared session window; two win, so the slice is 2 ÷ 12 = 16.7%, with a net contribution of -4.0 percentage points. The 33 in-window trades contain 13 wins and -8.9 percentage points. This slice reconciles independently, but it overlaps the grade and risk views.

Open the exact records before choosing a rule. The trade-review workflow separates observable fields from retrospective explanations.

Three Rules for the Second Worked Attempt

These are scenario parameters, not universal FTMO advice. Each must also fit the selected program’s current limits.

  1. Personal risk cap: 0.50% per eligible trade. The value is lower than the first attempt’s stored 0.75% plan and 1.05% median actual risk. Position size is recalculated from stop distance for every trade; the percentage is not copied into a fixed lot size.
  2. Required setup evidence before entry. The trade needs a saved setup/version, planned entry, invalidation, target logic, and planned risk. A missing field is a rule failure, not a C-grade assigned after seeing P&L.
  3. Daily stop after three consecutive closed losses. The stop ends new entries for that trading day. It is a personal operating buffer, not a claim that three losses predict the next trade or that TSB can block broker orders.

The risk-management framework explains how to size from stop distance and available loss buffers without treating a single percentage as portable across strategies.

Attempt Two: 52 Trades and +11.2%

The later constructed attempt covers 18 trading days. It does not reuse the first attempt’s trades.

Attempt-two windowReconciled evidence
Days 1–514 trades · 8 wins · 14 A/B evidence · +1.8%
Days 6–1015 trades · 8 wins · 14 A/B evidence · +1.4%
Days 11–1515 trades · 9 wins · 14 A/B evidence · +4.9%
Days 16–188 trades · 5 wins · 8 A/B evidence · +3.1%
Complete attempt52 trades · 30 wins · 57.7% · 50/52 A/B evidence · +11.2%

Counts close at 14 + 15 + 15 + 8 = 52; wins at 8 + 8 + 9 + 5 = 30; A/B evidence at 14 + 14 + 14 + 8 = 50. P&L closes at 1.8 + 1.4 + 4.9 + 3.1 = 11.2 percentage points.

The five daily closed-net changes for days 6–10 are +0.7%, -1.5%, -1.3%, +1.0%, and +2.5%, which sum to the block’s +1.4%. Starting from +1.8% after day 5, the path reaches a +2.5% peak on day 6 and a -0.3% trough after day 8: a 2.8-percentage-point peak-to-trough drawdown on this daily closed series. It does not certify intraday or unrealized-equity drawdown between closes.

At +11.2%, the scenario has crossed the first-stage profit level represented by its selected snapshot only if every other current rule also passes. A 2-Step first evaluation is not the full two-stage process and is not an FTMO Account or payout.

What Changed—and What Did Not

MetricAttempt one → attempt two
Closed-net result-8.7% → +11.2% · +19.9 percentage points
Trades80 → 52 · 28 fewer · -35.0%
Wins / win rate35/80 = 43.8% → 30/52 = 57.7% · +13.9 pp
A/B evidence47/80 = 58.8% → 50/52 = 96.2% · +37.4 pp
Rule setOriginal plan with observed drift → versioned 0.50% cap, evidence gate, three-loss daily stop

The comparison supports a useful statement: the later window records fewer trades, higher evidence coverage, higher win rate, and a higher closed-net result under the revised rule set. It does not isolate which rule mattered, exclude a market-regime change, or prove that the journal caused 19.9 percentage points of improvement.

A Phase Pass Is Not a Funded Account

The prior article jumped from a first-stage target to a funded account and attached an invented profit-share value. That collapses separate program states. A 2-Step route can include another evaluation stage, identity or compliance checks, account activation, ongoing loss rules, payout eligibility, and current terms that must be checked independently.

Do not reuse unsupported “most funded traders lose within three months” or “average attempts to pass” figures. The personal decision is already hard enough: can the exact program be evaluated from complete evidence, and can the trader follow a rule set with sufficient buffer through a later comparable period?

The prop-firm rules checklist helps keep evaluation, funded-stage, payout, platform, news, overnight, and account-count conditions separate.

How TSB Supports the Journal and Rule Replay

TSB has processed 600K+ imported trades cumulatively. That scale belongs to the product, not to this 80/52-trade scenario. A real attempt must state its account, period, program, phase, filters, included n, exclusions, currency state, rule snapshot, and cutoff.

Journal review can retain setup, grade, plan adherence, and trader-supplied notes beside exact trades. Prop Replay owns program, phase, account size, starting balance, included and excluded counts, conversion state, rule fingerprint, pass/breach/stall state, first blocker, and limitations. When closed-trade data cannot certify an intraday or unrealized-equity rule, the result stays pass-blocked rather than being promoted to a historical pass.

TSB does not infer motive from P&L, claim that an A-grade trade must win, or enforce the broker’s order surface. Its advantage is traceability: the finding opens to exact evidence and the current rule source instead of becoming an uninspectable success score.

Replay the exact program before the next paid attempt

Select program, phase and account size; freeze one owned-account window; inspect first blocker, included/excluded trades, conversion coverage, and every pass-blocking limitation.

Replay my FTMO rules →

The Repeatable Failure-to-Retest Workflow

  1. Select one exact program, phase, region, size, and verified rule snapshot.
  2. Freeze the attempt account, dates, timezone, currency basis, and evidence cutoff.
  3. Reconcile every closed trade, result, review state, and exclusion.
  4. Inspect setup evidence, planned-versus-actual risk, sequence, session, and rule events as overlapping views.
  5. Choose one observable failure pattern; do not diagnose personality from results.
  6. Version a bounded rule set and calculate its room inside current firm limits.
  7. Replay untouched history where valid, then test prospectively on a later comparable window or simulation.
  8. Carry the same buffers into the next program stage; do not relax them because one target was crossed.

If the first attempt failed for reasons the evidence cannot resolve, the prop-firm failure diagnostic separates rule breach, strategy evidence, execution drift, and unavailable-data paths.

When This Case Should Not Drive the Decision

  • Different program or phase: a 2-Step first-stage scenario is not a 1-Step, Verification, funded-stage, or futures rule set.
  • Unstable strategy: changing the entry logic between attempts prevents an execution-only comparison.
  • Missing risk or equity evidence: closed trades may not prove intraday limits or planned-versus-actual exposure.
  • Too many simultaneous changes: three revised rules can improve an operating system but cannot identify one causal driver.
  • Purchase pressure: historical replay does not model the behavior created by a paid deadline or perceived need to recover a fee.

Methodology Note

  • Evidence class: the 80-trade and 52-trade attempts are constructed, fully reconciled examples—not real anonymized journals, customer outcomes, or TSB aggregate statistics.
  • Preserved hooks: -8.7%, +11.2%, 18 days, 76% contribution, 40% risk drift, 16.7% outside-session win rate, and three rule changes remain with visible denominators.
  • Corrected state: -8.7% is a personal-stop closed-net result, not falsely labeled a formal FTMO breach; +11.2% belongs to one first-evaluation scenario, not a funded account.
  • Program check: use the current FTMO facts and official sources shown above; the attempt results remain a constructed scenario.
  • Product boundary: 600K+ is cumulative TSB scale, never the denominator for either attempt.

Use this scenario for the method: freeze the evidence, label every assumption, keep the denominators visible and test the revised rules on later trades. Do not treat the result as a testimonial or pass guarantee.

Final Verdict: A Better Second Attempt Needs Traceable Rules

The scenario remains deliberately compelling: 80 trades end at -8.7%; a separate 52-trade, 18-day attempt ends at +11.2%, with 28 fewer trades, A/B evidence rising from 58.8% to 96.2%, and win rate rising from 43.8% to 57.7%.

The journal’s job is not to claim credit for the improvement. Its job is to make the hypothesis reproducible: exact program, frozen evidence, visible exclusions, three versioned rules, later results, and clear limits on what the data can prove. That turns one failed path into a better controlled retest without turning a worked scenario into a testimonial.

Igor Manuilov
Written and reviewed by
Igor Manuilov
Founder of Trader's Second Brain · Trader since 2014
Editorial accountability

Trader since 2014. Built Trader's Second Brain to make execution review more evidence-based and less dependent on memory, scattered spreadsheets, or vague journaling.

Challenge replay · pass/fail evidence
Rule-fit replay for funded challenges

Test the challenge against your own trades.

Replay closed trades and see the first challenge rule your history would break.

Test my trades vs rules →
Prop firm simulator preview

Frequently Asked Questions

Quick answers to the most common questions about FTMO Journal Case Study.

A journal preserves exact trades, setup evidence, planned-versus-actual risk, timestamps, review state, and rule events. That lets a trader describe where an attempt changed and version a later test. It does not diagnose motive or prove that the journal caused a better result.

Start with program, phase, region, account size, rule snapshot, account, period, timezone, currency state, and exact trade IDs. Then retain setup/version, pre-trade evidence, plan adherence, planned and actual exposure where supported, entry/exit timestamps, session, daily state, P/L, costs, and unavailable reasons. No four fields explain every challenge failure.

This guide does not use an average-attempt claim. Marketing, incomplete populations, changing programs, repeat customers, and different definitions of pass can make public figures incomparable. Plan from your own validated edge, current exact rules, purchase budget, and replay limitations rather than an unsupported average.

The scenario changes three things together: the personal risk cap, required setup evidence, and a daily stop after three consecutive closed losses. Because all three change and the later market window is different, the comparison cannot isolate one biggest causal factor. The exact improvement is observed under the package.

Record plan evidence before entry and keep post-trade outcome and interpretation separate. Monitor current rule buffers from the controlling platform, but do not change definitions mid-attempt to improve the dashboard. A journal supports review; it must not be described as a broker-side hard stop unless an independently verified control exists.

The evidence workflow is portable; the numbers are not. Select the exact firm, program, phase, region, size, market, and verified rule version first. A static personal risk cap or stop rule must be recalculated inside those current constraints, and some futures programs use different loss-floor and payout mechanics from CFD evaluations.