Validasi strategi Anda dengan data historis sebelum mempertaruhkan modal nyata. Pelajari praktik terbaik backtesting, penafsiran metrik, dan walk-forward analysis.
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.
Pahami kenapa hasil backtest dan live Anda berbeda di Freya Finance, dari fee dan slippage hingga perubahan pasar, agar Anda menetapkan ekspektasi yang realistis.
Jalankan backtest di Freya Finance untuk menguji strategi apa pun pada data historis, lalu baca chart, metrik, dan analisis AI sebelum Anda pernah trading live.
Kuasai Sharpe ratio, Sortino ratio, max drawdown, profit factor, dan analisis equity curve. Pelajari cara mendeteksi overfitting dan mengevaluasi strategi dengan angka nyata.
Kuasai walk-forward analysis untuk memvalidasi strategi trading kripto. Membahas deteksi overfitting, sliding window, robustness testing, dan checklist validasi 10 poin.
Pelajari cara backtest strategi trading sebelum mempertaruhkan uang nyata. Pahami metrik, hindari curve fitting, dan interpretasikan hasil seperti profesional.
Terapkan pengetahuanmu dalam praktik.