slv / What works on SLV
Historical hit rates for every rank-panel rule on SLV, measured on daily bars (2024-08-27 → 2026-08-27, 502 bars, 313 firings). Not a buy or sell list.
What works on SLV
| Rule | Win 5d | Win 1mo | Win 3mo | Count |
|---|---|---|---|---|
| ADX +DI/-DI cross (strong)BUY | 50.0% | 100.0% | 100.0% | 2 |
| SMA 50/200 golden crossBUY | 0.0% | 100.0% | 100.0% | 1 |
| CCI cross -100BUY | 61.1% | 83.3% | 66.7% | 18 |
| Squeeze fire (bullish)BUY | 50.0% | 33.3% | 100.0% | 4 |
| BB lower band bounceBUY | 60.0% | 100.0% | 50.0% | 5 |
| Williams %R cross -80BUY | 58.8% | 61.8% | 58.6% | 34 |
| MACD bullish crossBUY | 47.4% | 47.4% | 66.7% | 19 |
| Stoch %K/%D cross (oversold)BUY | 47.4% | 52.6% | 60.0% | 19 |
| RSI(14) cross 30BUY | 50.0% | 50.0% | 50.0% | 4 |
| EMA 9/21 golden crossBUY | 8.3% | 54.5% | 54.5% | 12 |
| Squeeze fire (bearish)SELL | 66.7% | 33.3% | 50.0% | 3 |
| EMA 9/21 death crossSELL | 58.3% | 33.3% | 41.7% | 12 |
| MFI cross 20BUY | 0.0% | 100.0% | 0.0% | 1 |
| MACD bearish crossSELL | 52.6% | 31.6% | 36.8% | 19 |
| BB upper band rejectSELL | 42.1% | 44.4% | 27.8% | 19 |
| Williams %R cross -20SELL | 43.9% | 38.5% | 30.8% | 42 |
| CCI cross 100SELL | 58.6% | 28.6% | 32.1% | 30 |
| Stoch %K/%D cross (overbought)SELL | 40.0% | 36.8% | 28.9% | 41 |
| RSI(14) cross 70SELL | 27.8% | 38.9% | 33.3% | 18 |
| SMA 50/200 death crossSELL | 0.0% | 0.0% | — | 1 |
| MFI cross 80SELL | 20.0% | 0.0% | 20.0% | 5 |
| ADX -DI/+DI cross (strong)SELL | 25.0% | 0.0% | 0.0% | 4 |
Interactive chart with the same engine: /?symbol=SLV. Fresh triggers across mega-caps: /firing. Rule write-ups: ADX +DI/-DI cross (strong) · SMA 50/200 golden cross · CCI cross -100.
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.