No coding. The AI researches your idea, codes it and puts it through a phased validation process to check it’s robust. You decide at every phase whether it moves on or gets dropped.
No hype. No shortcuts. Just process.
AI can write an Expert Advisor in minutes. Most of them look great in a backtest and fail in live markets. Faster code doesn’t fix that. A process does.
Thousands of combinations tested until one looks good. With enough attempts, one always does — by chance.
Parameters tuned until the past looks perfect. The future doesn’t cooperate.
One bot with no portfolio behind it and no real validation.
Every system goes through seven phases. Each one ends with a decision backed by a report. Most ideas are dropped early — and that is the point.
Turn an idea into a measurable hypothesis with objective rules.
Your decisionCheck that the idea has a real edge, with real costs, before writing any code.
Your decisionThe AI writes the system on a multi-strategy MQL5 framework and compiles it.
Your decisionRule-by-rule evidence and your own visual test, trade by trade.
Your decisionOne variable at a time, with ranges that make sense.
Your decisionImprove only what clearly holds up. A small gain is not a reason to change.
Your decisionA final test kept untouched until the end. Portfolio-ready, under observation, or discarded.
Your decisionThen the systems that survive go into a portfolio — for a prop firm or for your own capital with Darwinex.
The same systems, combined into a portfolio built for where you want to trade.
The quickest way to trade larger capital — but uncertain in the long run, because of how prop firms make money.
Build an audited track record with your own capital or virtually with Darwinex Zero, and grow it over years.
The validation and portfolio rules this process enforces are the ones behind the DARWINs below, verified by Darwinex and Darwinex Zero. The AI workflow itself is new: I’ll publish the systems built with it as they go live.
ideas I took through this process were discarded before risking a cent. One is ready for a portfolio, one is under observation.
Multi-strategy tactical alpha on liquid global markets
Since June 2026: quantitative short-selling strategy across equities.
Volatility-adjusted alpha on recurrent market behaviors
Systematic equity allocation based on cross-sectional signals
Trend-following strategies in crypto markets with asymmetric risk
S&P500 long-only rule-based strategies that switch to cash to protect capital
Past performance does not guarantee future results. Trading involves risk. Darwinex Zero track records are based on virtual accounts. This content is educational and is not an invitation to invest or investment advice. Data as of September 2026.
8 short lessons, under 2 hours. A clear look at how professional systematic trading is actually built.
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Upload your MT5 Strategy Tester report and replay every real starting point against a prop firm’s rules: probability of passing, expected value per attempt and how long it takes. Your file never leaves your browser.
Open the simulatorFrom idea to system, no coding.
The full process as a Claude Code plugin, the GreaterWaves MQL5 Kit, a step-by-step course and a monthly group session. Join now and get every part as it’s released.
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I’m José Martínez. I operate systematic portfolios under real capital allocation standards, and my results are publicly audited on Darwinex.
I tried manual trading, automated strategies and strategy-mining software. Most of it failed in real markets. What was missing wasn’t a better indicator — it was a process. This is the one I use.
