Describe the strategy in plain English. Test it on history.
Write «buy when RSI is below 30 and price is above SMA 200» and get a working rule set. Backtest it bar by bar with slippage and commissions, optimise with a genetic algorithm, then walk-forward test it so you are not just fitting the past.
- Pro plan
- Genetic optimiser
- Walk-forward testing
Build, test, then try to break it
A strategy that only looks good on the past is a donation. This toolchain stresses the idea before your money touches it.
Visual builder with plain English
Point-and-click conditions, or type "buy when RSI is below 30 and price is above SMA 200" and the parser builds the rule tree. 40 presets from Golden Cross to London Breakout to Divergence Hunter give you a working start.
- Drag-and-drop conditions
- Natural language input
- 40 editable presets
Realistic backtesting
Bar-by-bar execution with slippage, per-side commissions (0.1% crypto, spread-based forex), percent-risk sizing and portfolio tests across symbols. Conditions can reference the economic calendar: skip FOMC days or trade only around CPI.
- Slippage and commissions modeled
- Economic-event conditions
- Multi-symbol portfolio mode
Optimization that fights overfitting
A genetic optimizer with a Pareto front finds parameter sets, walk-forward validates them on unseen windows, and Monte Carlo shuffles, bootstraps and injects slippage to show the confidence interval of your drawdown, not just the best case.
- Genetic optimizer with Pareto front
- Walk-forward windows
- Monte Carlo confidence intervals
start from something that already works
Golden Cross, MACD Momentum, Keltner Squeeze, London Breakout, Crypto Momentum, Divergence Hunter and 34 more. Every preset backtests in one click, every parameter is yours to change.
From idea to live test
Pine Script export
One-click export of your strategy logic to Pine v5 for TradingView.
Alpha Lab
A genetic-programming engine searches for formulas server-side. Publish discoveries, vote and fork what the community finds.
Paper bridge
Forward-test any strategy on the paper account with server-side stops. Same data, zero risk.
Full metrics
Sharpe, Sortino, SQN, Calmar, max drawdown, profit factor, win rate.
Equity curve
PnL over time against a buy-and-hold benchmark, plus monthly heatmap and seasonality.
Versioned strategies
Every edit is a version you can compare and roll back. Trades export to CSV.
Build and test a strategy
- 01
Choose a preset or build
Start from Golden Cross preset or build from scratch with the visual rule editor.
- 02
Set parameters
Define position size, slippage model, commission rate, and test period.
- 03
Run backtest
Click Run. Results appear in seconds with equity curve, metrics, and trade log.
- 04
Optimize
Run genetic optimizer to find best parameters. Walk-forward validates on unseen data.
Do I need to code?
How realistic is the backtest?
Can I export to TradingView?
Which plan do I need?
Test your edge before risking capital
Visual builder, honest backtests, genetic optimization, Monte Carlo. Pro plan, $30 a month.