Test your strategies, on your own machine
Tick-data backtesting, walk-forward validation, genetic strategy evolution and an MQ5 analyzer in one desktop app. Your research stays on your computer.
7 days, full access · No credit card · Installs locally
Your research, in one app
Run your backtests and build strategies on your own hardware.
A library you can evaluate
Review Sharpe, drawdown, CAGR, win rate and test periods for each preset. Filter by style and level, then load a strategy into the builder and adjust it.
Build with blocks
Combine 34 blocks for indicators, filters, entries, exits and risk, plus 13 templates. Search, drag and connect, or access the strategies from Python.
Explore strategy variants
Set a population and an objective. The genetic lab explores parameter sets over generations and records the best candidates and run details for review.
Real tick-data backtesting
Dukascopy tick data for intrabar analysis.
Walk-forward optimization
Rolling and anchored windows, robustness analysis and out-of-sample validation.
Genetic strategy evolution
Explore strategy parameters over generations and review the best candidates.
EA Lab — MQ5 analyzer
Inspect .mq5 inputs and generate .set parameter files.
Risk-rule checks
Evaluate strategies against the configured prop-firm rule sets. Check current terms with your provider.
Local research
Your strategies and backtest results stay on your computer.
Start the free trial
Seven days of full access. Request your licence key below.
Pricing in USD
Try the app before choosing your licence.
Yearly: $490 instead of $588.00. Save $98.00 per year.
Monthly
Cancel any time
- Full access to every feature
- 2 devices
- Priority support
- Updates while subscribed
Lifetime
One payment, no recurring fee
- Everything in the subscription
- 3 devices
- Lifetime updates
- Early access to new features
Personal licences. Cancel a monthly subscription at 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 or Windows PC — 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 pending.
Windows 10 or 11 (x64)
Standard installer. No WSL or Docker required.
Both platforms: 8 GB RAM · 2 GB free disk space.
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