Your trading backlog finally becomes testable.
Every trader has a folder of ideas that never became robots. The blocker is not imagination. It is code, time, testing, and feedback.
Now the AI developer does the boring part.
It writes the Expert Advisor, runs the MT4 backtest, reads the result, and proposes the next version. You stay focused on the trading idea.
Describe the setup
Entry, exit, timeframe, symbol, risk, filters, and what a good trade should look like.
Get the EA
The agent writes inspectable MQL4 code with parameters and safety checks.
Run MT4 backtests
Compile, execute, collect trades, equity curve, drawdown, and failure signals.
Get the verdict
See what worked, what broke, and whether the idea deserves another version.
Improve or reject
Change one thing, test again, or kill the idea before it wastes your time.
You do not just get code. You get a decision trail.
The product is the full loop: source, compiled result, backtest, explanation, and a concrete next experiment.
Inspectable source
Receive the `.mq4` Expert Advisor source instead of a black-box file.
Backtest report
Profit, drawdown, trade count, curve behavior, and notes on reliability.
Plain-language verdict
What worked, what broke, and whether the next iteration is worth doing.
Iteration history
Each version has a reason, a change log, and a measurable outcome.
Risk boundaries
Position sizing, daily limits, spread filters, and guardrails can be encoded.
No profit theater
The system does not pretend every idea is good. Weak ideas are surfaced fast.
Before, every idea was a project. Now it is a prompt.
The agent compresses the distance between a trading thought and an evidence-backed decision.
See the magic in concrete artifacts.
A personal MT4 developer, always available.
It writes code, runs tests, explains failures, and suggests the next version without losing context.
It turns hope into evidence.
You still get the excitement of testing ideas, but with numbers, reports, and source code attached.
You keep every artifact.
Source code, settings, reports, and reasoning stay with you, not hidden behind a dashboard.
Sample iteration report
The H1 trend filter reduced trade frequency and cut the deepest loss cluster, but late entries still give back profit during flat sessions.
Example strategy
Buy after EMA20 crosses EMA50, only when ATR is above its 20-period average. Exit on reverse cross or fixed risk.
Example code
if (CrossUp(ema20, ema50) && AtrFilterOk()) {
OpenBuy(CalcLotSize(), stopLoss, takeProfit);
}
Example report
Profit Factor 1.24. Max DD 11.8%. The idea trends well, but flat sessions create loss clusters.
Example next step
Add session filter, cap trades per day, and compare ATR stop against fixed stop in version 005.
Your next trading robot can start as one message.
Send the rule set you already have in your head. The agent will turn it into code, test it, and show whether the idea deserves another version.