The best indicator for Air Products (APD)
We backtested 382 indicators across daily, weekly and hourly charts on real Air Products (APD) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Where Air Products (APD) 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.
Markov Regime
On the weekly chart, this is the strongest risk-adjusted edge we found for Air Products (APD) over ~46.4 years — trailing buy-and-hold by 0.2% CAGR.
Air Products (APD) 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 Air Products (APD) — trailing buy-and-hold by 5.7% 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 | Markov Regime ✓ | Weekly | 11.7% | 0.56 | -56.4% | 51.3% | 39 | -0.2% |
| 2 | CCI ✓ | Weekly | 7.6% | 0.55 | -40.6% | 86.0% | 43 | -4.3% |
| 3 | Intraday Momentum Index ✓ | Daily | 8.6% | 0.54 | -52.1% | 73.0% | 137 | -3.4% |
| 4 | SMC: Liquidity Sweep ✓ | Daily | 9.3% | 0.54 | -60.1% | 76.4% | 148 | -2.7% |
| 5 | McGinley 200 Trend ✓ | Daily | 11.4% | 0.53 | -60.3% | 22.2% | 18 | -0.6% |
| 6 | Markov Regime (Confirmed) ✓ | Weekly | 9.7% | 0.53 | -49.8% | 57.3% | 295 | -2.3% |
| 7 | SMC: Liquidity Sweep ✓ | Weekly | 7.6% | 0.51 | -51.9% | 86.2% | 29 | -4.4% |
| 8 | DeMarker ✓ | Daily | 8.1% | 0.5 | -56.3% | 72.4% | 163 | -3.9% |
| 9 | Schaff Trend Cycle ✓ | Daily | 3.9% | 0.5 | -24.7% | 52.2% | 381 | -8.1% |
| 10 | Williams %R ✓ | Daily | 7.4% | 0.49 | -53.9% | 71.4% | 322 | -4.6% |
| 11 | Holy Grail Confluence ✓ | Daily | 6.9% | 0.49 | -55.3% | 80.0% | 80 | -5.1% |
| 12 | Chaikin Money Flow ✓ | Weekly | 8.5% | 0.49 | -51.2% | 53.3% | 120 | -3.5% |
| 13 | CCI ✓ | Daily | 7.2% | 0.48 | -54.4% | 70.0% | 233 | -4.8% |
| 14 | VIDYA 200 Trend ✓ | Daily | 9.8% | 0.48 | -66.4% | 13.0% | 23 | -2.3% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on Air Products (APD)
0 of 716 tested setups beat buy-and-hold on Air Products (APD) outright. Another 120 could get there with leverage they would survive — but 421 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| Demand Index | — | 1.45× | 3.67× |
| WaveTrend (8/6/4) | — | 1.64× | 4.2× |
| QQE | — | 1.66× | 2.79× |
| CCI | — | 1.77× | 3.61× |
| Projection Bands | — | 1.81× | 3.72× |
| Stochastic | — | 1.88× | 3.71× |
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 Air Products (APD), Markov Regime 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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