The best indicator for AppLovin (APP)
We backtested 382 indicators across daily, weekly and hourly charts on real AppLovin (APP) history. Here's what actually worked — risk-adjusted over the full backtest, with costs, and checked out-of-sample.
Where AppLovin (APP) 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.
Historical Volatility Regime
On the daily chart, this is the strongest risk-adjusted edge we found for AppLovin (APP) over ~5.4 years — beating buy-and-hold by 39.1% CAGR.
AppLovin (APP) 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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Best multi-indicator combo
Going long only when all 2 agree was the strongest confluence setup we found for AppLovin (APP) — beating buy-and-hold by 26.6% 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 | Historical Volatility Regime ✓ | Daily | 72.0% | 1.46 | -36.6% | 58.1% | 43 | 39.1% |
| 2 | DEMA 200 Trend ✓ | Daily | 67.2% | 1.32 | -41.1% | 58.8% | 17 | 34.3% |
| 3 | Volatility Regime (VIX-style) ✓ | Daily | 62.3% | 1.32 | -41.5% | 61.9% | 42 | 29.5% |
| 4 | WMA 100 Trend ✓ | Daily | 73.1% | 1.31 | -43.2% | 45.5% | 22 | 40.3% |
| 5 | ALMA 200 Trend ✓ | Daily | 75.5% | 1.39 | -51.1% | 50.0% | 14 | 42.6% |
| 6 | KAMA 100 Trend ✓ | Daily | 73.3% | 1.28 | -49.5% | 38.2% | 34 | 40.5% |
| 7 | Smoothed MA (Wilder) ✓ | Daily | 72.7% | 1.25 | -60.0% | 44.0% | 50 | 39.9% |
| 8 | MA Ribbon ✓ | Daily | 62.6% | 1.24 | -39.7% | 27.3% | 22 | 29.8% |
| 9 | SMA 100 Trend ✓ | Daily | 73.8% | 1.32 | -52.7% | 57.1% | 14 | 40.9% |
| 10 | Trend Regularity Adaptive MA ✓ | Daily | 66.3% | 1.22 | -56.4% | 46.2% | 26 | 33.5% |
| 11 | T3 30 Trend ✓ | Daily | 60.9% | 1.22 | -33.6% | 43.5% | 23 | 28.0% |
| 12 | ZLEMA 200 Trend ✓ | Daily | 57.5% | 1.21 | -36.4% | 34.6% | 26 | 24.6% |
| 13 | ROC (60) ✓ | Daily | 67.3% | 1.21 | -54.7% | 41.2% | 17 | 34.5% |
| 14 | UT Bot (ATR Trailing) ✓ | Weekly | 73.3% | 1.19 | -39.1% | 60.0% | 15 | 40.5% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on AppLovin (APP)
83 of 279 tested setups beat buy-and-hold on AppLovin (APP) outright. Another 94 could get there with leverage they would survive — but 65 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| Heikin-Ashi Trend | 2 | none needed | 2.91× |
| Sine-Weighted MA | 2 | none needed | 2.7× |
| FRAMA 200 Trend | 2 | none needed | 2.7× |
| Accumulation Swing Index | 1 | 1.25× | 3.4× |
| Swing Index | 1 | 1.25× | 3.4× |
| Woodie Pivots | 1 | 1.27× | 3.33× |
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 AppLovin (APP), Historical Volatility Regime 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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