FTMO Challenge EA — No Code (2026)
Can you build an EA for an FTMO challenge without coding?
Build a low-frequency, filtered EA in AlfaTactix Strategy Builder: Step 3 — e.g. MA Golden/Death Cross on H1; Step 4 — market session + time range + spread cap (AlfaTactix has no economic-calendar filter — see news filter guide); Step 5 — 0.25%–0.75% risk per trade and stop logic with buffer under firm limits; export → compile → backtest → Demo on challenge server. Official rules: FTMO trading objectives [1] — always verify live terms.
Disclosure: Educational build guide by AlfaTactix. Not affiliated with FTMO. For drawdown formulas and MQL5 guards, see Prop Firm EA Rules — we do not repeat that full rulebook here.
Related guides: News Filter — No Code · Convert Manual Strategy · EA Risk Management · Deploy EA · EA Strategy Library
What an FTMO-Style Challenge EA Must Do
Challenge accounts fail on risk mechanics, not only bad signals. Your exported EA should encode habits you would follow manually:
| Guard | Why firms care | Builder layer |
|---|---|---|
| Daily loss cap | One bad day ends the challenge | Step 5 account protection / conservative sizing |
| Max overall loss | Equity drift over weeks | Step 5 + avoid revenge sizing |
| Volatile-window caution | Rule violations + slippage around news | Step 4 market session, time range and ATR volatility (no economic-calendar filter today) |
| Controlled frequency | “Gambling” flags on few huge days | H1/H4 signals, session filter |
| Symbol & hours | Off-market or illiquid trades | Step 2 timeframe + Step 4 session |
Public examples (verify on FTMO FAQ [1]) often cite ~5% daily and ~10% max loss objectives — program your EA below those thresholds.
Deep dive on AccountInfoDouble guards and Calendar API: Prop Firm EA Rules.
Challenge EA Recipe (Conservative Trend)
Starter recipe many challenge traders test first:
| Component | Setting |
|---|---|
| Symbol | EURUSD or firm-allowed major |
| Timeframe | H1 (Step 2 + Step 3) |
| Entry | SMA Golden Cross buy / Death Cross sell — MA crossover guide |
| Filters | London–NY session, spread max 25–35 points (broker-dependent), ATR volatility filter |
| Risk | 0.5% per trade, SL 20–30 pips or ATR-based, one position at a time |
| Target behavior | Steady small edges, not lottery days |
Swap RSI instead of MA: RSI OB/OS — No Code — keep the same filter stack.
Step by Step in Strategy Builder
Step 1 — Strategy information
Name: FTMO Challenge H1 MA v1 — version when you change rules.
Step 2 — Timeframes
Enable H1 only for v1. Add H4 bias later via Advanced MTF & Filters.
Step 3 — Signals (MA example)
Buy tab — H1:
- Indicator SMA
- Condition Golden Cross, Period 10 (slow 20 auto)
- Confirmation 2
Sell tab — H1:
- Death Cross, same period/confirmation
Step 4 — Session and volatility filters for challenges
Minimum filter stack (AlfaTactix has no economic-calendar filter — see News Filter — No Code for what a calendar gate would need to look like in MQL5):
- Market session — London + New York overlap (align server time with broker)
- Liquidity (spread) — max spread input for your broker's EURUSD
- ATR volatility — a wide gate that also catches some news-driven spikes, without reading a calendar
Step 5 — Risk settings for funded challenges
| Setting | Challenge-oriented value |
|---|---|
| Risk per trade | 0.25% – 0.5% (not 2%+) |
| Stop loss | Fixed pips or ATR — EA Risk Management |
| Max concurrent trades | 1 |
| Daily loss stop (if in plan) | 4% – 4.5% buffer under 5% rule |
Step 6 — Save, export, attach
Save → Code Generator → compile → attach to Demo account that mirrors challenge leverage and symbol list.
Backtest, Demo, and Rule Disclaimer
| Phase | Purpose |
|---|---|
| Strategy Tester | Signal + filter logic; Every tick; realistic spread |
| Demo on challenge broker | Spread, execution, daily reset behavior |
| Challenge | Only after stable Demo weeks |
Limits:
- Tester may not model firm trailing drawdown on closed P/L or compliance dashboards.
- News calendar in Tester ≠ every live broker event mapping.
- Passing backtest does not predict passing FTMO — read Strategy Tester vs Live.
CFTC note: The CFTC advisory on prop firms [2] reminds consumers to read terms carefully — treat challenges as high-risk education, not guaranteed income.
Tactix AI on this workflow
AlfaTactix includes Tactix AI: use Tactix Studio to describe your idea in plain language and draft timeframes, signals, filters, and risk into the same six-step Strategy Builder form — or open Tactix Guide on any step when you only need a field explained. Review every value, then export MQL5 or Pine Script from Code Generator (form-first — not untested prompt-to-code).
Next Steps
| Task | Resource |
|---|---|
| Code-level loss + news guards | Prop Firm EA Rules |
| News filter UI | News Filter — No Code |
| Turn discretionary rules into EA | Convert Manual Strategy |
| Consistency habits (daily trade caps) | Prop Firm Consistency EA — No Code |
| VPS / 24h operation | VPS for Expert Advisor |
| Go live checklist | Deploy and Maintain EA |
Before you buy a challenge seat: In the live demo, set Step 5 Max Daily Drawdown one point below your firm's limit and Max Daily Trades to what you actually follow on a good day — run Demo two weeks. If the EA stops you on the days you would have broken rules anyway, export; if not, tighten filters before paying evaluation fees.