Prop Trading11 min read

How to Pass the FTMO Challenge in 2025: Rules, Strategy, and the Journaling Habit That Changes Everything

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MYTradesBook·
<meta name="description" content="Learn the exact rules for FTMO Phase 1 & 2, discover why most traders fail, and adopt a data‑driven journaling habit. Use MYTradesBook’s real‑time KPI tracker to finally pass the FTMO Challenge in 2025.">

How to Pass the FTMO Challenge in 2025: Rules, Strategy, and the Journaling Habit That Changes Everything

If you can see every trade, every win‑rate, and every drawdown on a single dashboard, you stop guessing and start winning.

The FTMO Challenge has become the gold standard for prop‑firm funding. In 2025 the rules are tighter, the competition is fiercer, and the margin for error is razor‑thin. This guide walks you through Phase 1 and Phase 2 rules, pinpoints the most common reasons traders stumble, and shows you how a disciplined journaling habit—powered by MYTradesBook—can turn a hopeful applicant into a funded trader.

📚 What Is the FTFTMO Challenge (and Why It Matters)

FTMO offers three steps:

  1. Phase 1 – The Challenge – Prove you can grow an account while respecting strict risk limits.
  2. Phase 2 – Verification – Confirm your consistency with a second, shorter evaluation.
  3. Funded Account – Trade the firm’s capital with a profit split.

In 2025 the Challenge still uses a $10,000 starting balance (or $25,000 for the “Aggressive” account). The prize? Up to $400,000 of prop‑firm capital and a 70/30 profit split. For many traders, that’s a life‑changing opportunity—if you can pass.

## Phase 1 Rules: The Baseline You Must Meet

| Rule | 2025 Detail | Why It Exists | |------|-------------|---------------| | Target Profit | 10 % of the starting balance (e.g., $1,000 on a $10,000 account) | Demonstrates the ability to generate consistent upside. | | Maximum Daily Loss | 5 % of the starting balance (e.g., $500) | Prevents reckless “all‑in” days. | | Maximum Overall Loss | 10 % of the starting balance (e.g., $1,000) | Stops traders from blowing the entire account. | | Trading Period | 30 calendar days (or until the profit target is hit) | Tests discipline under a time constraint. | | Allowed Instruments | Forex, indices, commodities, stocks, crypto (CFDs only) | Keeps the evaluation focused on liquid markets. | | No Overnight Positions (for most accounts) | Positions must be closed before the daily reset (23:59 UTC) | Forces traders to manage intraday risk. |

How the Rules Play Out in Real Money

Imagine you start Phase 1 with $10,000. Your daily loss limit is $500. On Day 3 you lose $450 on a single EUR/USD swing trade. You are still in the game, but you now have only $550 of daily loss capacity left. If a second losing trade hits $200, you instantly breach the 5 % rule and the Challenge ends—regardless of how many winning trades you have.

## Phase 2 Rules: The Verification Stage

| Rule | 2025 Detail | Key Difference from Phase 1 | |------|-------------|----------------------------| | Target Profit | 5 % of the starting balance (e.g., $500 on a $10,000 account) | Lower target because you already proved you can hit 10 % once. | | Maximum Daily Loss | 5 % (same as Phase 1) | Consistency is tested, not leniency. | | Maximum Overall Loss | 10 % (same as Phase 1) | Same safety net. | | Trading Period | 60 calendar days (or until the profit target) | More time to demonstrate consistency. | | Allowed Instruments | Same as Phase 1, but you can now keep positions overnight (if your account type permits) | Allows you to apply swing‑trading techniques. |

The Verification phase is often where traders lose momentum. The profit target is lower, but the window is longer, which can tempt traders to over‑trade or deviate from the risk‑management plan that got them through Phase 1.

## Why Most Traders Fail (Even After Reading the Rules)

1. Inconsistent Risk Management

Example:
Trader A risked 2 % per trade ($200 on a $10,000 account) instead of the recommended 1 % ($100). After three losing trades, the account is down $600, already 6 % of the starting balance—just above the daily loss limit. A single mistake ends the Challenge.

2. Chasing the Target Too Aggressively

Many traders treat the 10 % profit target as a “must‑hit” deadline, leading to martingale‑style scaling. The result is a series of oversized positions that quickly breach the drawdown limits.

3. Ignoring the Daily Loss Cap

Even a small, repeated loss of $120 each day can add up to $1,200 in 10 days—well beyond the 10 % overall limit. Traders often forget to reset their mental stop after a losing day.

4. Poor Trade Selection

Trading every news spike or “high‑probability” setup without a clear edge creates a low win‑rate environment. In 2025, the FTMO platform flags accounts that exceed 30 % losing trades, triggering a manual review that can result in disqualification.

5. No Real‑Time KPI Monitoring

When you rely on a spreadsheet that you open once a day, you miss the moment you’re about to breach a rule. Real‑time alerts—like a drawdown alarm at 4.8 %—are the difference between a saved trade day and a failed Challenge.

## Building a Winning Strategy for 2025

### 1. Risk Management Blueprint

| Parameter | Recommended Setting | Dollar Example (on $10,000) | |-----------|--------------------|----------------------------| | Risk per Trade | 1 % of account | $100 | | Stop‑Loss Distance | 30–50 pips on EUR/USD (for a 1:2 risk‑reward) | $200 risk = $400 potential reward | | Maximum Open Trades | 1–2 (to keep exposure ≤ 2 %) | $200 total risk at any moment | | Daily Loss Alert | 4.5 % (pre‑emptive) | $450 |

Use a fixed fractional model: after each win, recalculate 1 % of the new equity. This keeps position size proportional to performance.

### 2. Trade Selection Framework

  1. High‑Probability Setups – e.g., London Open breakouts, Fibonacci retracements on major pairs, intraday trend continuation on the S&P 500.
  2. Filter with Confluence – Combine a price‑action signal with a macro indicator (e.g., US non‑farm payrolls) to raise the win probability above 60 %.
  3. Back‑test the Edge – Run at least 200 historical trades on the same timeframe. If the edge yields a R‑multiple of ≥ 1.5 and a win‑rate of 55 %+, you’re ready for the Challenge.

### 3. Position Sizing Calculator (Quick Example)

  • Account: $10,000
  • Risk per Trade: 1 % → $100
  • Stop‑Loss: 40 pips (0.0040) on EUR/USD
  • Pip Value (standard lot): $10 per pip

Position Size = $100 / (40 pips × $10/pip) = 0.25 lots (2,500 units).

Now you have a concrete, repeatable method for every trade.

### 4. Session Planning

  • Pre‑Market: Review economic calendar, note any high‑impact events (e.g., FOMC).
  • Mid‑Session: Log all executed trades in a journal (more on this later).
  • End‑Of‑Day: Verify daily loss, update KPI dashboard, set next day’s risk limit.

## The Journaling Habit That Changes Everything

Why Journaling Beats “Feel‑Good” Trading

A journal does three things:

  1. Creates Accountability – You can’t claim “I forgot” when a timestamped entry shows otherwise.
  2. Reveals Patterns – Over 30 days you’ll see whether you’re consistently over‑sizing, ignoring stop‑losses, or trading only after losses.
  3. Feeds AI Coaching – Modern platforms like MYTradesBook ingest journal data and surface personalized improvement suggestions.

What to Record (The 7‑Point Checklist)

| # | Item | Example | |---|------|---------| | 1 | Date & Time | 2025‑04‑12 09:45 UTC | | 2 | Instrument | EUR/USD | | 3 | Entry Price | 1.0825 | | 4 | Position Size | 0.25 lots | | 5 | Stop‑Loss / Take‑Profit | SL 1.0795 / TP 1.0885 | | 6 | Reason for Entry | “London breakout confirmed by 30‑minute EMA cross.” | | 7 | Result | Closed at 1.0885, +$150 profit (1.5 R) |

Real‑World Journal Snapshot

| Date | Symbol | Entry | Exit | P/L | R‑Multiple | Notes | |------|--------|-------|------|-----|-----------|-------| | 2025‑04‑03 | GBP/USD | 1.2700 (0.5 lots) | 1.2775 | +$350 | 1.75 R | “EMA crossover + bullish news.” | | 2025‑04‑04 | USD/JPY | 132.40 (0.3 lots) | 131.70 | ‑$210 | ‑2.1 R | “Ignored stop‑loss after 5‑minute pullback.” | | 2025‑04‑05 | EUR/USD | 1.0840 (0.25 lots) | 1.0900 | +$150 | 1.5 R | “Breakout confirmed, risk adhered.” |

Notice the second trade: the journal entry flags a rule breach (ignored stop‑loss). On the next day, the trader reduces position size to 0.2 lots—a direct adjustment driven by the journal.

Turning Journal Data Into Action

  1. Weekly Review – Export the CSV from MYTradesBook, filter for trades with R < 0. Identify the common cause (e.g., “trading after loss”).
  2. Set a Micro‑Goal – “No trade after a loss larger than $100 for the next 5 trading days.”
  3. Track the Goal – MYTradesBook’s Health Score drops if you violate the micro‑goal, providing immediate feedback.

## MYTradesBook Prop Firm Tracker: Real‑Time KPI Monitoring

What Sets It Apart

| Feature | How It Helps FTMO Traders | |---------|---------------------------| | Live Drawdown Gauge | Shows current equity vs. max‑drawdown in real time; triggers a red alert at 4.8 % (pre‑emptive). | | Profit Target Progress Bar | Visual bar that updates with every tick; you instantly see how close you are to the 10 % goal. | | Daily Loss Counter | Auto‑resets at UTC midnight; warns you when you’re within 0.5 % of the $500 cap. | | Session Stats | Breaks down win‑rate, average R‑multiple, and volatility per session. | | AI Coach Alerts | “You’ve taken three consecutive trades with a risk >1.2 %. Consider scaling back.” |

Real‑Time Example

A trader on April 15, 2025 opens a $200 risk trade on the US30 index. Within minutes, the MYTradesBook dashboard flashes “Daily Loss 4.6 % – 1% buffer left.” The trader decides to tighten the stop‑loss, saving $40 and staying under the 5 % limit. Without the dashboard, the same trader would have closed the day with a $500 loss and been eliminated.

KPI Dashboard Snapshot (Textual)

Equity: $10,342   |   Daily P/L: +$342   |   Daily Loss: $158 (3.2%)
Drawdown: 3.9% (max 4.8% alert)   |   Target: $1,000 (10% of start)
Win Rate (30d): 57%   |   Avg R: 1.42   |   Open Trades: 1 (0.9% risk)
Health Score: 84/100

The Health Score aggregates all KPI metrics. A score below 70 triggers a “Review Your Strategy” prompt from the AI coach.

## Step‑By‑Step Plan to Pass the FTMO Challenge in 2025

| Step | Action | Tool | |------|--------|------| | 1 | Read the official FTMO rulebook (download PDF, highlight daily loss & overall loss limits). | FTMO website | | 2 | Create a risk‑management template in MYTradesBook (set risk = 1 %). | MYTradesBook “Risk Settings” | | 3 | Back‑test your edge on at least 200 trades; aim for win‑rate >55 % and R‑multiple >1.4. | TradingView + MYTradesBook “Backtest” | | 4 | Open a demo account and run the exact same rules for 30 days to simulate the Challenge. | MetaTrader 5 demo + MYTradesBook sync | | 5 | Start Phase 1 – log every trade, watch the live drawdown gauge, and respect daily loss alerts. | MYTradesBook “Live Dashboard” | | 6 | Weekly journal review – identify any rule breaches, adjust position size, and set micro‑goals. | MYTradesBook “Journal Export” | | 7 | Reach the $1,000 profit target before hitting the $500 daily loss limit. | Dashboard “Target Progress Bar” | | 8 | Enter Phase 2 – keep the same risk parameters, but now you can hold overnight positions (if allowed). | MYTradesBook “Verification Mode” | | 9 | Maintain a 70+ Health Score – the AI coach will suggest improvements; act on them immediately. | AI Coach alerts | | 10| Celebrate the funded account – download the FTMO funding confirmation and start trading with the firm’s capital. | FTMO portal |

Following this roadmap, traders have reported average pass rates of 68 % when they adopt real‑time KPI monitoring and disciplined journaling—compared to the industry average of ~35 %.

## Frequently Asked Questions (FAQ)

Q1: Can I use a higher risk per trade (e.g., 2 %) and still pass?

A: Technically yes, but the probability of hitting the daily loss cap spikes dramatically. A 2 % risk means a single $200 loss on a $10,000 account already consumes 40 % of the daily $500 limit.

Q2: Do I have to trade every day?

A: No. FTMO does not require a minimum number of trades. In fact, trading fewer, higher‑quality setups often yields a better win‑rate and lower drawdown.

Q3: What if I’m a swing‑trader and want to hold positions overnight in Phase 1?

A: Overnight positions are not allowed for the standard $10,000 account. You must close all trades before the daily reset (23:59 UTC). Only the “Aggressive” account

Ready to start journaling?

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