Code Review
Treat a strong MT5 backtest as a hypothesis, not proof.
A beautiful equity curve can still be fragile. Before trusting an EA result, check whether the result survives out-of-sample data, spread changes, slippage assumptions, and parameter variation.
Search intent
The quant or EA builder has strong backtest results but wants to know whether the result is robust enough to continue.
Paste compiler errors / Generate EA draft / Get risk check
Short opt-in only. We store one source, one intent, and one new lead status. No scraped lists, no purchased contacts, no trading promises.
Choose the workflow you want, then opt in so the CRM source is measurable.
Cluster
Code Review
Tool path
mql5 code review
Reader
quant researcher
Check sample and concentration
A result carried by a tiny number of trades or one favorable year is not robust evidence.
Stress the execution assumptions
Spread, slippage, commission, tick data, and symbol suffix differences can erase a marginal edge.
Use out-of-sample and walk-forward gates
Optimization should produce stable regions, not one magic parameter set. Walk-forward results should not be uniformly negative.
Use the tool
Paste the EA notes or report summary into Workfusion Backtest Estimate to flag credibility and overfitting risks before the next optimization run.
Related guides
Continue the EA build path.
Code Review
MT5 EA backtest failure triage
Classify MT5 backtest failures by compile, data, permission, frequency, execution, risk, or strategy issues.
EA Generation
Prepare an EA for Strategy Tester
A practical checklist before running an MT5 Strategy Tester backtest on a new Expert Advisor draft.
Code Review
Expert Advisor audit trail checklist
What to log in an Expert Advisor so trade decisions, blocked entries, and risk controls are reviewable later.