The best indicator for Li Auto
We backtested 382 indicators across daily, weekly and hourly charts on real Li Auto history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Inside-Bar Breakout
On the daily chart, this is the strongest risk-adjusted edge we found for Li Auto over ~5.9 years — beating buy-and-hold by 20.0% CAGR.
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 | Inside-Bar Breakout ✓ | Daily | 14.5% | 0.78 | -20.6% | 37.5% | 24 | 20.0% |
| 2 | Supertrend Fast (10,2) ✓ | Daily | 26.0% | 0.71 | -43.2% | 43.2% | 37 | 31.5% |
| 3 | Supertrend (10,2) ✓ | Daily | 26.0% | 0.71 | -43.2% | 43.2% | 37 | 31.5% |
| 4 | Chop Zone (EMA-34 angle) | Daily | 18.7% | 0.7 | -36.2% | 50.0% | 22 | 24.1% |
| 5 | Fisher Center-of-Gravity ✓ | Daily | 21.1% | 0.69 | -56.4% | 46.8% | 173 | 26.6% |
| 6 | Supertrend (7,2) ✓ | Daily | 21.8% | 0.64 | -51.9% | 42.1% | 38 | 27.2% |
| 7 | Deviation-Scaled MA ✓ | Daily | 19.6% | 0.62 | -39.9% | 39.7% | 141 | 25.1% |
| 8 | Range Filter ✓ | Daily | 15.0% | 0.61 | -33.6% | 47.1% | 87 | 20.5% |
| 9 | QQE MOD ✓ | Daily | 18.3% | 0.61 | -44.4% | 43.1% | 58 | 23.8% |
| 10 | Bollinger 10 (x1.5) Break ✓ | Daily | 13.6% | 0.61 | -25.9% | 42.9% | 91 | 19.0% |
| 11 | WMA 10/30 Cross | Daily | 18.3% | 0.59 | -52.9% | 50.0% | 34 | 23.7% |
| 12 | Half Trend ✓ | Daily | 18.1% | 0.58 | -45.9% | 45.7% | 46 | 23.6% |
| 13 | Volatility Stop (ATR) ✓ | Daily | 17.9% | 0.58 | -50.3% | 39.5% | 38 | 23.3% |
| 14 | Delta Volume Rising (CVD proxy) ✓ | Weekly | 17.0% | 0.58 | -43.4% | 39.1% | 23 | 22.0% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
For Li Auto, Inside-Bar Breakout 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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