The best indicator for Cybersecurity
We backtested 382 indicators across daily, weekly and hourly charts on real Cybersecurity history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Where Cybersecurity 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.
Stochastic (10,3)
On the daily chart, this is the strongest risk-adjusted edge we found for Cybersecurity over ~11.6 years — beating buy-and-hold by 1.5% CAGR.
Cybersecurity on the daily 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 | Stochastic (10,3) ✓ | Daily | 14.2% | 0.89 | -18.2% | 50.2% | 333 | 1.5% |
| 2 | Stochastic ✓ | Daily | 11.2% | 0.78 | -32.5% | 81.0% | 63 | -1.5% |
| 3 | Inside-Bar Breakout ✓ | Daily | 5.3% | 0.75 | -14.2% | 52.9% | 68 | -7.4% |
| 4 | Zero-Lag MACD ✓ | Daily | 10.6% | 0.74 | -20.4% | 51.9% | 231 | -2.2% |
| 5 | Force Index ✓ | Weekly | 10.2% | 0.73 | -18.0% | 48.6% | 35 | -2.1% |
| 6 | WMA 200 Trend ✓ | Daily | 9.9% | 0.71 | -20.5% | 51.4% | 37 | -2.9% |
| 7 | Elastic VW MA ✓ | Weekly | 10.7% | 0.71 | -22.0% | 57.1% | 21 | -1.7% |
| 8 | Adaptive Supertrend ✓ | Weekly | 10.4% | 0.7 | -17.9% | 70.6% | 17 | -2.0% |
| 9 | Disparity (50) ✓ | Weekly | 10.6% | 0.7 | -23.0% | 62.5% | 16 | -1.8% |
| 10 | Fisher Transform ✓ | Daily | 10.0% | 0.69 | -26.1% | 45.6% | 263 | -2.7% |
| 11 | RSI Trend (>50) ✓ | Weekly | 10.0% | 0.69 | -20.7% | 52.2% | 23 | -2.4% |
| 12 | Volatility Stop (ATR) ✓ | Weekly | 10.3% | 0.69 | -36.5% | 64.7% | 17 | -2.1% |
| 13 | McGinley 10/30 Cross ✓ | Daily | 10.6% | 0.68 | -33.6% | 50.0% | 20 | -2.1% |
| 14 | Gann HiLo Activator ✓ | Daily | 9.4% | 0.67 | -24.2% | 43.2% | 222 | -3.3% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on Cybersecurity
1 of 492 tested setups beat buy-and-hold on Cybersecurity outright. Another 314 could get there with leverage they would survive — but 133 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| FRAMA 10/30 Cross | 1 | none needed | 6.35× |
| Markov Regime | — | 1.59× | 4.3× |
| Volume Zone Oscillator | — | 1.61× | 7.75× |
| Force Index | — | 1.8× | 7.52× |
| Chande-Kroll Stop (fast) | — | 1.96× | 3.73× |
| Chande Kroll Stop | — | 1.98× | 3.74× |
Out-of-sample, costs included. A setup is only listed if the leverage it needs is less than the leverage its own worst drawdown survives — when it isn't, no amount of leverage gets there. Volatility drag isn't modelled, so these are the optimistic case. Every indicator, ranked this way
For Cybersecurity, Stochastic (10,3) on the daily 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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