2026 (in-sample)
PASS- Metric observed
- Profit factor 3.97
- Max drawdown
- 7.1%
For MT5 traders building or testing EAs
Build with AI or bring your own EA. Check real ticks, costs, and out-of-sample results before deciding what to run.
PF 3.97
2026 (in-sample)PF 2.25 → 1.36
+$50/trade cost stressPF 0.37
2024 real ticksREJECT
Fails on real spreadsA promising result is a reason to test further, not proof that an EA is ready for live use.
One sequence checks the code, the data, and the assumptions before you decide whether to run an EA.
Paused. Press Play to resume the simulation.
This is an illustrative animation, not a live or recorded Operator run.
Start with your rules or explore a strategy hypothesis.
Turn the written strategy rules into an MQL5 EA.
Test parameter choices against your broker's real ticks.
Check whether results hold up outside the optimization sample.
Stress costs, spreads, and drawdown before a deployment decision.
Review the evidence and decide what, if anything, to run next.
A decision aid, not an auto-trader
Build the idea with AI. Make it earn your confidence through evidence.
Operator helps you review a strategy. You decide whether to deploy it, and no test can promise future results.
Illustrative example
This scenario shows how a strong optimization result can weaken under other years and tougher cost assumptions. It is not a recorded Operator run or performance proof.
| Testing Period / Condition | Metric Observed | Max Drawdown | Result |
|---|---|---|---|
| 2026 (in-sample) | Profit factor 3.97 | 7.1% | PASS |
| 2023 real ticks | Profit factor 0.15 | - | FAIL |
| 2024 real ticks | Profit factor 0.37 | - | FAIL |
| +$50/trade cost stress | Profit factor 2.25 -> 1.36 | - | FAIL |
2026 (in-sample)
PASS2023 real ticks
FAIL2024 real ticks
FAIL+$50/trade cost stress
FAILExample reasoning: in-sample performance can be an artifact of regime overfitting, and real-tick decay can exceed risk thresholds.
This illustrative review attributes losses to slippage on wide spikes and proposes possible follow-up checks; it is not a result claim.
Example: filter trades when ATR exceeds 1.2x baseline.
Example: compare ATR-bar stops with a fixed take-profit.
Example: re-run a Tester check on a revised specification.
The workspace ZIP has not been published or asset-checked, so checkout and delivery remain unavailable.
Describe the rules in plain English or start from a template. Your AI agent drafts the EA; you still review its logic and test results before deciding whether to trade it.
These requirements are part of the buyer acknowledgement at checkout. Read the Operator buyer acknowledgements before purchasing.
Planned One-Time Pricing
The €297 launch price is planned, but the workspace ZIP has not passed release checks. No purchase or delivery is available yet; use the link below to request an email update.
No purchase or delivery is available yet. This opens an email draft to support; your request is sent only if you choose to send it.
Operator is not available for checkout or workspace delivery yet.
The workspace ZIP is not published and verified yet, so there is no Operator checkout to open. The questions below still describe what the product does and does not cover.
Yes. You can ask an AI agent to write MQL5 from your rules without buying Operator.
Operator is for traders who want a repeatable research, build, and testing workflow instead of stitching prompts and checks together themselves.
One workspace for the full EA review, from written rules to a final verdict.
The planned €297 workspace includes 9 skills, 3 templates, and a full example run. Checkout opens only after the delivery ZIP passes release checks.
Email me at launch opens an email draft. It is sent only if you send it.
No Operator purchase, access, or delivery is available until the workspace ZIP passes the release asset check.