The best indicator for Lithium & Battery (LIT)
We backtested 382 indicators across daily, weekly and hourly charts on real Lithium & Battery (LIT) history. Here's what actually worked — risk-adjusted over the full backtest, with costs, and checked out-of-sample.
Where Lithium & Battery (LIT) 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.
Keltner 50 (x2.0)
On the daily chart, this is the strongest risk-adjusted edge we found for Lithium & Battery (LIT) over ~16.2 years — beating buy-and-hold by 5.1% CAGR.
Lithium & Battery (LIT) 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 Lithium & Battery (LIT) — trailing buy-and-hold by 4.2% 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 | Keltner 50 (x2.0) ✓ | Daily | 11.1% | 0.79 | -30.2% | 51.6% | 95 | 5.1% |
| 2 | Std Error Channel ✓ | Daily | 12.5% | 0.76 | -30.8% | 41.3% | 143 | 6.4% |
| 3 | Donchian 55/20 ✓ | Daily | 11.4% | 0.75 | -29.8% | 48.0% | 25 | 5.3% |
| 4 | Chaikin Volatility ✓ | Daily | 9.3% | 0.75 | -23.2% | 43.6% | 218 | 3.2% |
| 5 | LSMA 200 Trend ✓ | Daily | 11.1% | 0.73 | -27.2% | 44.6% | 65 | 5.0% |
| 6 | WMA 10/40 Cross ✓ | Daily | 12.8% | 0.72 | -37.4% | 39.1% | 69 | 6.8% |
| 7 | LSMA 100 Trend ✓ | Weekly | 11.9% | 0.72 | -32.0% | 50.0% | 22 | 5.8% |
| 8 | MAMA / FAMA ✓ | Daily | 12.7% | 0.71 | -39.1% | 40.8% | 76 | 6.6% |
| 9 | RSI (9) ✓ | Daily | 12.4% | 0.71 | -39.1% | 38.8% | 258 | 6.3% |
| 10 | Bollinger %B ✓ | Daily | 12.1% | 0.7 | -45.0% | 38.7% | 222 | 6.0% |
| 11 | QQE MOD ✓ | Daily | 9.7% | 0.7 | -32.2% | 49.4% | 164 | 3.6% |
| 12 | Perfect Trend Line ✓ | Daily | 12.2% | 0.7 | -49.7% | 42.8% | 449 | 6.1% |
| 13 | Cascade Z-Score ✓ | Daily | 11.1% | 0.69 | -39.4% | 40.0% | 115 | 5.0% |
| 14 | TEMA 100 Trend ✓ | Weekly | 12.7% | 0.79 | -32.0% | 53.8% | 13 | 6.6% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
The question doesn't apply here. Buy-and-hold on Lithium & Battery (LIT) lost money across the out-of-sample window in 556 of 556 tests, so there is no positive benchmark to lever toward — clearing a negative bar is a much weaker claim than beating a real one, and we keep the two apart rather than counting it as a win. How we compute that
For Lithium & Battery (LIT), Keltner 50 (x2.0) 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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