The best indicator for Netflix (NFLX)
We backtested 382 indicators across daily, weekly and hourly charts on real Netflix (NFLX) history. Here's what actually worked — risk-adjusted over the full backtest, with costs, and checked out-of-sample.
Where Netflix (NFLX) 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.
SMC: Change of Character
On the 1-hour chart, this is the strongest risk-adjusted edge we found for Netflix (NFLX) over ~2.9 years — beating buy-and-hold by 39.7% CAGR.
Netflix (NFLX) on the 1-hour 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 Netflix (NFLX) — trailing buy-and-hold by 22.0% 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 | SMC: Change of Character ✓ | 1-Hour | 58.9% | 1.99 | -22.4% | 60.4% | 48 | 39.7% |
| 2 | Donchian 10 Break ✓ | Weekly | 39.7% | 1.0 | -42.9% | 64.7% | 17 | 9.9% |
| 3 | WMA 10/30 Cross ✓ | Weekly | 38.8% | 0.99 | -55.0% | 60.0% | 20 | 9.0% |
| 4 | MAMA / FAMA ✓ | 4-Hour | 26.0% | 1.25 | -21.1% | 46.4% | 28 | 11.8% |
| 5 | EMA 8/21 Cross ✓ | Weekly | 37.1% | 0.97 | -48.5% | 61.1% | 18 | 7.3% |
| 6 | CCI (30) ✓ | Weekly | 37.1% | 0.97 | -50.5% | 40.0% | 30 | 7.3% |
| 7 | Aroon ✓ | Weekly | 35.7% | 0.96 | -54.6% | 57.6% | 33 | 5.9% |
| 8 | Aroon Oscillator ✓ | Weekly | 35.7% | 0.96 | -54.6% | 57.6% | 33 | 5.9% |
| 9 | CCI (200) ✓ | Daily | 33.9% | 0.94 | -48.0% | 36.4% | 44 | 4.0% |
| 10 | EMA 9/26 Cross ✓ | Weekly | 35.7% | 0.94 | -52.3% | 60.0% | 15 | 5.9% |
| 11 | Hull Suite ✓ | Weekly | 34.2% | 0.93 | -60.9% | 61.9% | 21 | 4.4% |
| 12 | Ehlers TrendFlex ✓ | Weekly | 34.9% | 0.92 | -54.9% | 61.1% | 18 | 5.1% |
| 13 | Inverse Fisher RSI ✓ | Weekly | 34.3% | 0.92 | -49.0% | 62.2% | 37 | 4.5% |
| 14 | Trend Regularity Adaptive MA ✓ | Weekly | 33.4% | 0.92 | -50.9% | 47.4% | 19 | 3.6% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on Netflix (NFLX)
172 of 1271 tested setups beat buy-and-hold on Netflix (NFLX) outright. Another 180 could get there with leverage they would survive — but 150 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| Sine-Weighted MA | 2 | 1.74× | 2.66× |
| Parabolic SAR | 2 | none needed | 3.01× |
| Chande Momentum Osc. | 2 | none needed | 3.71× |
| DMI Direction | 2 | none needed | 2.35× |
| Volume Zone Oscillator | 2 | none needed | 2.5× |
| DEMA 100 Trend | 2 | none needed | 2.87× |
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 Netflix (NFLX), SMC: Change of Character on the 1-hour 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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