The best indicator for Sherwin-Williams (SHW)
We backtested 382 indicators across daily, weekly and hourly charts on real Sherwin-Williams (SHW) history. Here's what actually worked — risk-adjusted over the full backtest, with costs, and checked out-of-sample.
Where Sherwin-Williams (SHW) 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.
Camarilla Pivots
On the weekly chart, this is the strongest risk-adjusted edge we found for Sherwin-Williams (SHW) over ~46.7 years — trailing buy-and-hold by 6.7% CAGR.
Sherwin-Williams (SHW) 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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Best multi-indicator combo
Going long only when all 2 agree was the strongest confluence setup we found for Sherwin-Williams (SHW) — trailing buy-and-hold by 8.6% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.
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 | Camarilla Pivots ✓ | Weekly | 11.4% | 0.69 | -49.6% | 55.3% | 488 | -6.7% |
| 2 | Markov Regime ✓ | Weekly | 15.9% | 0.69 | -51.4% | 77.3% | 22 | -2.2% |
| 3 | Bollinger Mean-Reversion ✓ | Daily | 9.2% | 0.67 | -49.1% | 72.0% | 200 | -8.8% |
| 4 | Fibonacci Bands ✓ | Daily | 9.2% | 0.67 | -49.1% | 72.0% | 200 | -8.8% |
| 5 | Markov Regime ✓ | Daily | 15.7% | 0.66 | -52.0% | 60.0% | 40 | -2.3% |
| 6 | Demand Index ✓ | Weekly | 11.2% | 0.66 | -41.5% | 78.3% | 115 | -6.9% |
| 7 | Murrey Math Lines ✓ | Daily | 10.3% | 0.65 | -37.3% | 77.9% | 136 | -7.7% |
| 8 | Derivative Oscillator ✓ | Weekly | 7.9% | 0.63 | -22.2% | 62.1% | 161 | -10.2% |
| 9 | Bandpass Oscillator ✓ | Weekly | 10.8% | 0.63 | -39.2% | 54.1% | 111 | -7.3% |
| 10 | WaveTrend (8/6/4) ✓ | Weekly | 9.4% | 0.62 | -41.2% | 82.1% | 39 | -8.6% |
| 11 | Connors RSI-2 ✓ | Weekly | 8.1% | 0.62 | -39.2% | 74.0% | 96 | -9.9% |
| 12 | Negative Volume Index ✓ | Weekly | 12.3% | 0.62 | -47.9% | 50.0% | 18 | -5.8% |
| 13 | ROC (60) ✓ | Weekly | 12.3% | 0.62 | -45.4% | 61.4% | 57 | -5.8% |
| 14 | DeMarker (7) ✓ | Weekly | 10.5% | 0.62 | -33.4% | 58.3% | 168 | -7.5% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on Sherwin-Williams (SHW)
0 of 702 tested setups beat buy-and-hold on Sherwin-Williams (SHW) outright. Another 343 could get there with leverage they would survive — but 277 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| Supertrend (20,3) | — | 1.43× | 3.15× |
| WMA 200 Trend | — | 1.73× | 2.22× |
| SMA 10/40 Cross | — | 1.73× | 2.62× |
| QQE | — | 1.74× | 2.31× |
| Zero-Lag MACD | — | 1.74× | 2.91× |
| Vegas Tunnel | — | 1.76× | 2.44× |
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 Sherwin-Williams (SHW), Camarilla Pivots on the weekly timeframe gave the best balance of return and risk in our test. It still trailed buy-and-hold on raw return — 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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