Personal AI developer for MT4

Turn any trading idea into a tested MT4 robot.

Describe the strategy in plain language. Get an Expert Advisor, a backtest report, and a clear next move without learning MQL4 or chasing a freelance developer.

No MQL4 Write the rules. The agent writes the code.
Code + test Get the EA, the run, and the report together.
Decision trail Know why each next version exists.

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.

You do not know MQL4 The strategy is clear in your head, but turning it into an EA is a separate job.
Developers are slow Briefs, revisions, misunderstandings, and waiting kill momentum.
Ready-made robots do not fit They trade someone else's logic, often without a transparent reason.
Manual testing does not scale You cannot check every variation by hand and still stay objective.

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.

01 Input

Describe the setup

Entry, exit, timeframe, symbol, risk, filters, and what a good trade should look like.

02 Build

Get the EA

The agent writes inspectable MQL4 code with parameters and safety checks.

03 Test

Run MT4 backtests

Compile, execute, collect trades, equity curve, drawdown, and failure signals.

04 Analyze

Get the verdict

See what worked, what broke, and whether the idea deserves another version.

05 Iterate

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.

BT

Backtest report

Profit, drawdown, trade count, curve behavior, and notes on reliability.

OK

Plain-language verdict

What worked, what broke, and whether the next iteration is worth doing.

IT

Iteration history

Each version has a reason, a change log, and a measurable outcome.

RL

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.

Before: find a developer Now: write to the agent and get the first EA version.
Before: wait a week Now: check a rough idea while the momentum is still fresh.
Before: learn MQL4 Now: describe rules, filters, and risk in normal language.
Before: receive code Now: receive code, test results, explanation, and next step.
Product proof

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.

EURUSD M1 / RSI + MA filter / version 004 tested

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.

Trades 184
Max DD 11.8%
Verdict Iterate
Next test: add session filter, reduce max trades per day, compare fixed stop versus ATR stop.

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.