The best indicator for Zscaler
We backtested 382 indicators across daily, weekly and hourly charts on real Zscaler history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Where Zscaler stands
Computed from our own daily OHLCV history, not quoted from a third party. Moving averages use closing prices; "52-week" is the last 252 trading sessions.
Acceleration Bands
On the weekly chart, this is the strongest risk-adjusted edge we found for Zscaler over ~8.3 years — beating buy-and-hold by 2.9% CAGR.
Zscaler on the weekly chart
The timeframe our backtest found best for this asset. The chart is live market data; the results above are hypothetical and historical.
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The winner on each chart
Every indicator, ranked
Ranked by Sharpe (risk-adjusted return). Hypothetical, fees included.
| # | Indicator | TF | CAGR | Sharpe | Max DD | Win | Trades | vs B&H |
|---|---|---|---|---|---|---|---|---|
| 1 | Trade Volume Index | Weekly | 28.7% | 0.89 | -47.0% | 41.2% | 17 | 11.5% |
| 2 | Acceleration Bands ✓ | Weekly | 20.1% | 0.88 | -27.4% | 58.8% | 17 | 2.9% |
| 3 | On-Balance Volume ✓ | Weekly | 28.1% | 0.87 | -43.3% | 47.1% | 17 | 10.9% |
| 4 | Delta Volume Rising (CVD proxy) ✓ | Daily | 31.4% | 0.86 | -41.1% | 48.3% | 209 | 14.1% |
| 5 | WMA 30 Trend | Weekly | 25.3% | 0.84 | -51.6% | 46.7% | 15 | 8.1% |
| 6 | Kaufman Adaptive MA | Daily | 29.0% | 0.82 | -57.7% | 43.0% | 121 | 11.6% |
| 7 | Trend-Gated Asymmetric | Daily | 19.7% | 0.8 | -28.6% | 41.9% | 31 | 2.3% |
| 8 | WMA 200 Trend | Daily | 24.6% | 0.79 | -44.2% | 46.2% | 26 | 7.2% |
| 9 | Supertrend (14,4) | Daily | 25.6% | 0.77 | -45.5% | 47.1% | 17 | 8.2% |
| 10 | Volume-Weighted EMA | Weekly | 24.0% | 0.77 | -49.3% | 30.0% | 20 | 6.8% |
| 11 | EMA 30 Trend | Weekly | 23.1% | 0.77 | -51.0% | 37.5% | 16 | 5.9% |
| 12 | Force Index | Weekly | 23.1% | 0.76 | -48.3% | 36.8% | 19 | 5.9% |
| 13 | Williams %R (28) ✓ | Weekly | 29.9% | 0.95 | -34.7% | 50.0% | 12 | 12.7% |
| 14 | SMA 30 Trend ✓ | Weekly | 23.6% | 0.81 | -38.2% | 57.1% | 14 | 6.4% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
The question doesn't apply here. Buy-and-hold on Zscaler lost money across the out-of-sample window in 417 of 417 tests, so there is no positive benchmark to lever toward — clearing a negative bar is a much weaker claim than beating a real one, and we keep the two apart rather than counting it as a win. How we compute that
For Zscaler, Acceleration Bands on the weekly timeframe gave the best balance of return and risk in our test. It beat buy-and-hold — but remember: this is a hypothetical backtest of a standard rule, not a recommendation. Markets change. See the methodology and disclaimer.
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