AI Funding Passing EA — FTMO Challenge Passer with 4.11 Profit Factor
AI Funding Passing EA is a MetaTrader 4 automated trading system built specifically to pass prop firm challenges by targeting controlled growth within strict daily loss and maximum loss limits.
The FTMO challenge account hit $10,124.75 profit on a $100,000 account — passing all four objectives — with a 77.27% win rate and 4.11 profit factor across 22 trades.
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Key Benefits
- ✅ Challenge-Specific Design: Built around FTMO’s exact rule structure — max daily loss, max loss, and profit target — not adapted from a generic scalper after the fact. Cost: optimized for rule compliance, not maximum monthly return.
Browse more prop firm EAs - ✅ Verified Pass Record: Completed a $100,000 FTMO Phase 1 in 22 trading days, hitting 10.12% profit while keeping max daily loss at -2.87% against the -5% limit — margin preserved throughout.
- ✅ Favorable Risk-Reward Profile: 1.21 average RRR with $787 average profit against $651 average loss — wins outpace losses structurally, not just numerically.
- ✅ Selective Trade Frequency: 22 trades over the challenge period means the EA waits for high-confidence setups. Cost: low trade count means fewer compounding opportunities and slower growth on calm markets.
AI Funding Passing EA Performance
The FTMO Challenge account (ID: 2090746190) ran from 4 January to 2 February 2021 on a $100,000 account and passed all four evaluation objectives.



| Metric | Value |
|---|---|
| Trades | 22 |
| Win Rate | 77.27% |
| Profit Factor | 4.11 |
| Average RRR | 1.21 |
| Expectancy | $460.22 per trade |
| Max Daily Loss (Challenge) | -$2,877.04 (-2.87%) |
| Max Loss (Challenge) | -$1,369.45 (-1.36%) |
| Profit Achieved | $10,124.75 (10.12%) |
| Starting Deposit | $100,000 |
| Tracking Period | 4 Jan – 2 Feb 2021 (22 days) |
The live signal data shows trade activity clustered on specific days — January 8 ($3,193.68 on 7 trades) and January 11 ($2,078.18 on 4 trades) account for the majority of the challenge profit. Most other days ran minimal lot sizes at near-zero P&L. This is a pattern-dependent strategy: it fires rarely, but when conditions align it deploys meaningful size.
That concentration is the structural characteristic to plan around. If the pattern does not appear frequently during your challenge window, the EA will not force trades to meet a deadline — which protects the account but may leave the profit target short in low-activity periods. Whether this pattern appears consistently across current market conditions is not confirmed by the 2021 data alone.
The weakness is partial: trade frequency is tied to market conditions producing the target pattern, not a setting you can dial up. Running a 90-day demo on current market data before committing a funded challenge is the only way to assess whether the pattern frequency is sufficient for your specific challenge parameters.
This record covers one completed FTMO Phase 1 in January 2021 — it confirms rule compliance under those conditions but does not cover current spread environments or how frequently the entry pattern appears today.
How It Works
Mechanism: The EA targets high-probability momentum bursts on MT4, deploying meaningful lot size only when its internal conditions align — then closing at defined targets. The rest of the time it watches at minimal exposure (0.01 lots), keeping the account within FTMO’s daily loss boundary while waiting for its setup.
Signal Trigger: Entry conditions are not publicly documented in available specifications. The pattern of trade clustering (7 trades on Jan 8, 4 trades on Jan 11) indicates intraday burst conditions rather than time-of-day or session-open rules — but the exact filter is not confirmed.
Position Close: Positions close at a fixed take profit level per trade. The challenge data shows average profit of $787.12 per winning trade against $651.24 average loss — suggesting defined TP and SL levels rather than trailing exits.
Exposure Limits: Maximum daily drawdown stayed at -2.87% against FTMO’s -5% hard limit throughout the challenge — indicating the EA either uses an internal equity stop or lot sizing calibrated to stay inside that boundary under normal conditions.
✅ Optimal conditions: Clear directional momentum days where the entry pattern fires cleanly; markets with sufficient intraday range to reach take profit before reversal.
⚠️ Avoid when: Low-volatility consolidation periods where the entry pattern rarely triggers — the EA will sit at 0.01 lots and make negligible progress toward any profit target.
Recommended Settings
| Specification | Requirement |
|---|---|
| Platform | MT4 |
| Account Size | $100,000 (challenge tested); minimum deposit not separately documented |
| Account Type | FTMO challenge / prop firm evaluation |
| VPS | Required — continuous connection needed for trade execution |
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Who Should Use This EA
- ✅ You are attempting an FTMO Phase 1 or equivalent prop firm challenge with a $100,000 account size — the configuration the EA was verified on.
- ✅ You run MT4 on a VPS with stable connection — the EA requires continuous operation to catch its infrequent high-lot setups.
- ✅ You will demo-test for 90+ days on current market data before attaching it to a live challenge account — the 2021 record does not confirm current pattern frequency.
- ✅ You are not expecting daily trade activity — the EA’s design produces 1–7 active trades per session maximum, with most days at minimal 0.01-lot monitoring size.
Performance verified with: FTMO Phase 1, $100,000 account, MT4, January–February 2021.
Product Download Package Includes
1. Experts:
✅ AI Funding Passing EA.ex4
2. Indicators:
✅ Candle_Timer.ex4
3. Presets:
✅ FTMO-Live.set
✅ FTMO-Fase 1.set
✅ FTMO-Fase 2.set
✅ MFF-Live.set
✅ MFF-Fase 1.set
✅ MFF-Fase 2.set
✅ Exness-Live.set
✅ ICMarkets-Live.set
Frequently Asked Questions
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