Backtest like a fund, on your own machine
Tick-data backtesting, walk-forward validation, genetic strategy evolution and an MQ5 analyzer — in one desktop app that never sends your research anywhere.
7 days, full access · No credit card · Installs locally
Four labs, one binary
Everything below runs on your hardware. Nothing you build leaves the machine.
A library you can actually judge
Every preset ships with its Sharpe, max drawdown, CAGR and win rate, plus the periods it was tested on. Filter by style and level, then load it into the builder and change whatever you like.
Blocks, not code
Thirty-four blocks — indicators, filters, entries, exits, risk — and thirteen templates. Search, drop, connect. If you do write code, the same strategies are reachable from Python.
Let the search do the work
Set a population and a target, and the genetic lab breeds parameter sets across generations, keeping a hall of fame of the best. Every run is stored with its generation count so you can reproduce it.
Real tick-data backtesting
Dukascopy ticks, not OHLC approximations. Six years of history included.
Walk-forward optimization
Rolling and anchored WFA, robustness score, window analysis, out-of-sample validation.
Genetic strategy evolution
Evolve strategies across generations. Hall of fame keeps the best performers.
EA Lab — MQ5 analyzer
Upload any .mq5. Auto-extracts inputs, detects prop-firm compatibility, generates .set files.
Prop-firm ready
Every strategy checked against FTMO, E8 and MyFundedFX rules automatically.
100% local — your data
Runs on your machine. No cloud, no data subscription. Your strategies stay private.
You already have a Strategy Tester
It is free and it works. Here is precisely where this is different, so you can decide whether the difference is worth paying for.
| EV Quant Lab | MT5 Strategy Tester | |
|---|---|---|
| Data | Real ticks, bid and ask | OHLC modelling, 90% quality |
| Validation | Walk-forward, OOS windows | Single in-sample pass |
| Search | Genetic evolution over generations | Grid and genetic on one set |
| Overfitting | Robustness score per window | Not measured |
| Prop-firm rules | Checked automatically | Manual |
| Where it runs | Your machine, offline | Your machine |
Start the free trial
Seven days, everything unlocked. Key in your inbox in seconds.
Pricing
Start free. Upgrade when it earns it.
Yearly is two months free — $490 instead of $588
Monthly
Cancel any time
- Full access to every feature
- 2 devices
- Priority support
- Free updates while subscribed
Lifetime
Pays for itself at 41 months
- Everything in the subscription
- 3 devices
- Lifetime updates
- Early access to new features
Licences are per person, not per seat rental. Cancel a monthly plan any time.
Frequently asked questions
Can’t find what you’re looking for? get in touch.
Why does tick-data backtesting matter?
Because OHLC backtests hide what actually happens inside a bar. EV Quant Lab runs on Dukascopy tick data with 6 years of history included, so intrabar sequence, spread and slippage are modelled instead of assumed. Low-timeframe and news-driven results are where the difference shows up most.
What does walk-forward optimization add over normal optimization?
It tests whether your parameters survive on data they were not fitted to. Rolling and anchored walk-forward both produce out-of-sample results plus a robustness score and per-window breakdown, which is how you separate a real edge from a curve fitted to history.
Does my data or strategy leave my machine?
No. EV Quant Lab runs entirely locally on your Mac — no cloud upload, no data subscription. Your strategies and results stay on your own disk, which is the point for anyone testing an edge they intend to trade.
Can it check whether a strategy fits prop firm rules?
Yes. Strategies are evaluated against FTMO, E8 and MyFundedFX rule sets automatically, and the EA Lab reads any .mq5 file to extract inputs, flag prop firm compatibility issues and generate the matching .set files.
Do I need to code to use it?
No for testing, yes if you want custom logic. You can backtest and optimise existing strategies and .mq5 files without writing code; the genetic evolution module then builds and ranks strategy variants for you across generations.
System requirements
macOS 13 Ventura or later
Apple Silicon (M1–M4). Intel build in progress.
Windows 10 or 11 (x64)
No WSL, no Docker. Plain installer.
Both platforms: 8 GB RAM · 2 GB free disk · no internet required after activation.
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