Professional Quant Research · macOS

EV Quant LabStrategy research, perfected.

Backtesting with real tick data, walk-forward optimization, genetic strategy evolution, and EA analyzer — all running locally on your Mac. No cloud. No compromises.

macOS Apple Silicon · 7-day free trial · No credit card

Everything you need to research smarter

Real tick data backtesting

Dukascopy tick data — not OHLC approximations. 6 years of history included.

Walk-Forward optimization

Rolling + anchored WFA. Robustness score, window analysis, OOS validation.

Genetic strategy evolution

Auto-evolve strategies over generations. Hall of fame with best performers.

EA Lab — MQ5 analyzer

Upload any .mq5 file. Auto-extract inputs, detect prop firm compatibility, generate .set files.

Prop firm ready

All strategies tested against FTMO, E8, MyFundedFX rules automatically.

100% local — your data

Runs on your Mac. No cloud, no subscriptions for data. Your strategies stay private.

Start your free trial

7 days full access. License key sent to your email instantly.

No credit card · License key sent to your email

Pricing

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Free Trial

$07 days
  • Full access to all features
  • 1 device
  • Email support
  • No credit card
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Monthly

$49/month
  • Full access to all features
  • 2 devices
  • Priority support
  • Free updates
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Lifetime

$1,999one-time
  • Everything in Monthly
  • 3 devices
  • Lifetime updates
  • Early access to new features
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System requirements: macOS 13+ · Apple Silicon (M1/M2/M3/M4) · 8GB RAM · 2GB free disk

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Frequently asked questions

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.

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