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Backtest Any Trading Strategy
in 5 Minutes

No coding required. Upload your data or enter a ticker, pick a strategy, and get professional-grade analysis instantly.

No credit card5 free backtests / day

Everything you need to backtest

Professional-grade quantitative analysis, simplified.

Instant Results

Run backtests in seconds, not hours. Our vectorized engine processes 10 years of daily data in under 1 second.

Professional Metrics

Sharpe ratio, Sortino, max drawdown, win rate, profit factor — every metric institutional quants rely on.

No Code Required

Upload a CSV or enter a ticker symbol. No Python, no SQL, no infrastructure — just results.

Built-in Strategies, Ready to Use

Three battle-tested strategies with configurable parameters. No coding needed to start.

MA Crossover

Trend Following

Buy when the fast moving average crosses above the slow one. Sell when it crosses below. Classic trend-following strategy that captures major market moves.

Parameters

Fast Period10
Slow Period30
MA TypeSMA / EMA

RSI Strategy

Mean Reversion

Buy when RSI indicates oversold conditions (below 30). Sell when overbought (above 70). Mean-reversion strategy for range-bound markets.

Parameters

RSI Period14
Oversold30
Overbought70

Bollinger Bands

Volatility Breakout

Buy when price touches the lower Bollinger Band. Sell at the upper band. Captures mean-reversion within volatility envelopes.

Parameters

Period20
Std Dev2.0
Band WidthAuto

Simple, Transparent Pricing

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$0
  • 5 backtests per day
  • US equities & major ETFs
  • 3 built-in strategies
  • CSV upload support
  • Basic metrics & charts
  • Community support
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$19/month
  • Unlimited backtests
  • Global markets & crypto
  • All strategies + custom params
  • Yahoo Finance integration
  • Advanced metrics (Sortino, VaR)
  • Walk-forward analysis
  • Priority email support
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Quant

$49/month
  • Everything in Pro
  • Custom strategy scripting
  • Multi-asset portfolios
  • API access
  • Data export (CSV, JSON, PDF)
  • Dedicated infrastructure
  • SLA guarantee
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