panw / What works on PANW
Historical hit rates for every rank-panel rule on PANW, measured on daily bars (2024-08-29 → 2026-08-28, 501 bars, 320 firings). Not a buy or sell list.
What works on PANW
| Rule | Win 5d | Win 1mo | Win 3mo | Count |
|---|---|---|---|---|
| SMA 50/200 death crossSELL | 100.0% | 100.0% | 100.0% | 1 |
| SMA 50/200 golden crossBUY | 100.0% | 50.0% | 100.0% | 2 |
| MFI cross 20BUY | 80.0% | 60.0% | 100.0% | 5 |
| RSI(14) cross 30BUY | 75.0% | 62.5% | 87.5% | 8 |
| BB lower band bounceBUY | 66.7% | 58.3% | 75.0% | 12 |
| Stoch %K/%D cross (oversold)BUY | 73.7% | 68.4% | 66.7% | 20 |
| CCI cross -100BUY | 66.7% | 53.3% | 71.4% | 16 |
| ADX -DI/+DI cross (strong)SELL | 40.0% | 50.0% | 100.0% | 5 |
| Williams %R cross -80BUY | 63.3% | 53.3% | 62.1% | 31 |
| EMA 9/21 golden crossBUY | 44.4% | 66.7% | 55.6% | 10 |
| BB upper band rejectSELL | 78.6% | 46.2% | 63.6% | 14 |
| MACD bullish crossBUY | 50.0% | 47.6% | 55.0% | 22 |
| ADX +DI/-DI cross (strong)BUY | 60.0% | 60.0% | 25.0% | 5 |
| RSI(14) cross 70SELL | 60.0% | 25.0% | 66.7% | 10 |
| Squeeze fire (bearish)SELL | 62.5% | 37.5% | 50.0% | 8 |
| EMA 9/21 death crossSELL | 75.0% | 75.0% | 25.0% | 9 |
| MACD bearish crossSELL | 27.3% | 47.6% | 47.4% | 22 |
| CCI cross 100SELL | 43.2% | 37.1% | 46.9% | 37 |
| Stoch %K/%D cross (overbought)SELL | 48.5% | 29.0% | 53.6% | 33 |
| Williams %R cross -20SELL | 41.0% | 37.8% | 42.4% | 39 |
| MFI cross 80SELL | 18.2% | 9.1% | 40.0% | 11 |
Interactive chart with the same engine: /?symbol=PANW. Fresh triggers across mega-caps: /firing. Rule write-ups: SMA 50/200 death cross · SMA 50/200 golden cross · MFI cross 20.
Why it moved
TA on this site tells you which classic rule printed and whether it historically paid. It does not say why the stock moved. Options positioning is often why. SpotGamma maps that.
Optional: SpotGamma free tools. Nothing here is trade advice.
Honest caveats
- Past ≠ future. Everything here is a historical measurement on daily bars, not a prediction and not investment advice.
- No costs modeled. Forward returns are close-to-close with no commissions, slippage or borrow.
- Overlap bias. Signals that fire in clusters get credit for the same move more than once.
- Small samples. A row with fewer than 10 firings is anecdote, not evidence.
Full method: help manual. Interactive chart: terminal.