Valida tus estrategias con datos históricos antes de arriesgar capital real. Aprende mejores prácticas de backtesting, interpretación de métricas y análisis walk-forward.
Safety orders rescue losing trades, which inflates win rate and hides the real risk. Freya's backtest breaks out how your DCA ladder actually performed, so you can see whether averaging down is earning its danger.
Freya overlays your bot's equity against simply buying and holding the coin. If a strategy cannot beat HODL, the effort and risk are not paying you. Here is how to read the benchmark.
A backtest that ignores slippage and fees is a fantasy. Here is exactly how Freya's engine applies slippage, fill buffers, and maker-taker commissions so your numbers reflect what live trading actually costs.
Your backtest is one ordering of trades out of thousands. Monte Carlo reshuffles it 1000 times to reveal probability of ruin, confidence intervals, and the drawdown a single equity curve hides.
R-multiple measures every trade in units of what you risked, and expectancy turns that into one number: your edge per trade. Read both from a Freya backtest and know if your strategy actually makes money.
Beyond max drawdown: how to read the tail-risk metrics in a Freya backtest. VaR is the loss you should expect on a bad day, CVaR is how bad the worst days get, and Omega weighs every gain against every loss.
The same bot can be a money machine in a calm market and a disaster in a volatile one. Freya's backtest classifies your trades by market volatility using ATR, so you can see the conditions your strategy actually needs.
Qué modela el backtest de Freya (comisiones del exchange, deslizamiento, funding) y las fricciones que solo aparecen en vivo y que no puede modelar — incluyendo la comisión de rendimiento de Freya, la latencia, la liquidez y los cambios de régimen de mercado — para que fijes expectativas realistas.
Un recorrido completo del backtesting en Freya — configurar una prueba, los gráficos y métricas que obtienes, la analítica avanzada, el análisis de Freya AI, comparar backtests y los límites de cada plan.
Domina el ratio de Sharpe, ratio de Sortino, drawdown máximo, factor de beneficio y análisis de curva de equity. Aprende a detectar sobreajuste y evaluar estrategias con números reales.
Domina el análisis walk-forward para validar estrategias de trading cripto. Detección de sobreajuste, ventanas deslizantes, pruebas de robustez y checklist de 10 puntos.
Aprende cómo hacer backtesting de estrategias de trading antes de arriesgar dinero real. Entiende las métricas, evita el ajuste de curva e interpreta resultados como un profesional.
Pon en práctica lo que aprendiste.