Stochastic — ETH Backtest Results (5-Year)

-37.1% Total Return
-8.8% CAGR
-0.23 Sharpe Ratio
63.6% Max Drawdown
34.2% Win Rate
0.93 Profit Factor
225 Total Trades
4 days Avg Trade

Stochastic Crossover — ETH-USD Equity Curve

How the Stochastic Crossover Works

The stochastic crossover is one of the most widely-used signals in trading. It’s simple, mechanical, and removes emotional decision-making from your trading by generating clear entry and exit signals based on the Stochastic indicator.

On ETH, the Stochastic acts as a trend filter. It won’t catch every exact bottom, but it reliably captures the meat of major moves while keeping you out of chop.

5-Year Performance on ETH

Over five years (2021-07-05 → 2026-07-03), the Stochastic Crossover delivered a -37.1% total return on ETH-USD, compounding at -8.8% annually.

At -0.23, the Stochastic earned less than one units of return for every unit of risk taken. For context, anything above 1.0 is considered good; above 1.5 is excellent.

The catch? A 63.6% max drawdown. At some point during this 5-year run, you’d have been down nearly 64% from peak equity. That’s stomach-churning territory for most traders. If you can’t handle that kind of drawdown, this isn’t for you — or you need to size down.

Risk Assessment

MetricValueVerdict
Sharpe Ratio-0.23❌ Weak
Max Drawdown63.6%⚠️ Significant
Win Rate34.2%❌ Low — relies on outsized wins
Profit Factor0.93❌ Unprofitable
Trades/Year~225 totalActive

The profit factor of 0.93 tells the real story: when the Stochastic fires, the winning signals don’t outweigh the losers. Combined with a 34.2% win rate, this requires careful position sizing to be profitable.

Does the Stochastic Crossover Work on ETH?

The stochastic crossover struggled to generate meaningful edge on ETH over this 5-year period. With a -0.23 Sharpe ratio and 0.93 profit factor, the risk-adjusted returns are below what most systematic traders would consider acceptable.

This doesn’t mean the Stochastic is useless — it may work better on different assets, timeframes, or when combined with other filters. But on ETH with default parameters over 5 years, it didn’t produce a compelling standalone edge.

Our take: skip it on ETH unless you’re combining it with other confirmations or using it on different timeframes.

Data source: Yahoo Finance (yfinance). Backtest engine: backtrader. 95% position sizing. 0.1% commission per trade. Last refreshed: July 04, 2026. Not financial advice. Past performance does not guarantee future results.

Stochastic Crossover — Trade Signals on ETH-USD

Year-by-Year Breakdown

YearReturnTradesWin Rate
2021+67.5%2034.2%
2022-68.3%4434.2%
2023+90.0%4534.2%
2024+41.7%5034.2%
2025-11.5%4234.2%
2026-42.1%2434.2%
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