The best indicator for Stellar (XLM)
We backtested 382 indicators across daily, weekly and hourly charts on real Stellar (XLM) history. Here's what actually worked — risk-adjusted over the full backtest, with costs, and checked out-of-sample.
Where Stellar (XLM) 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.
Woodies CCI
On the daily chart, this is the strongest risk-adjusted edge we found for Stellar (XLM) over ~12.9 years — beating buy-and-hold by 56.0% CAGR.
Stellar (XLM) 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 Stellar (XLM) — beating buy-and-hold by 26.8% 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 | Woodies CCI ✓ | Daily | 70.4% | 1.11 | -60.5% | 43.7% | 215 | 56.0% |
| 2 | Jurik MA (approx.) ✓ | Daily | 69.5% | 1.1 | -72.5% | 41.3% | 271 | 55.1% |
| 3 | Super Smoother (Ehlers) ✓ | Daily | 68.6% | 1.09 | -58.8% | 36.9% | 168 | 54.3% |
| 4 | Exponential Hull MA ✓ | Daily | 60.9% | 1.03 | -61.1% | 40.5% | 190 | 46.5% |
| 5 | Disparity Index ✓ | Daily | 62.1% | 1.01 | -57.8% | 38.9% | 198 | 47.7% |
| 6 | J_TPO ✓ | Daily | 58.9% | 1.0 | -53.9% | 36.1% | 147 | 44.5% |
| 7 | Chande Forecast Osc. ✓ | Daily | 58.8% | 0.97 | -74.9% | 41.5% | 335 | 44.4% |
| 8 | Impulse MACD ✓ | Daily | 53.0% | 0.97 | -62.2% | 45.0% | 111 | 38.7% |
| 9 | Arnaud Legoux MA ✓ | Daily | 55.4% | 0.96 | -70.2% | 36.9% | 282 | 41.0% |
| 10 | Holt Double-Exp MA ✓ | Daily | 55.0% | 0.96 | -67.7% | 42.8% | 264 | 40.7% |
| 11 | Gaussian Channel ✓ | Daily | 53.9% | 0.94 | -66.2% | 41.3% | 201 | 39.5% |
| 12 | TEMA 30 Trend ✓ | Daily | 48.5% | 0.94 | -56.0% | 41.5% | 217 | 34.1% |
| 13 | LSMA 30 Trend ✓ | Daily | 51.2% | 0.94 | -64.9% | 41.1% | 197 | 36.8% |
| 14 | Chaikin Volatility ✓ | Daily | 49.8% | 0.93 | -61.5% | 45.0% | 120 | 35.5% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on Stellar (XLM)
240 of 445 tested setups beat buy-and-hold on Stellar (XLM) outright. Another 47 could get there with leverage they would survive — but 64 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 | 1.8× |
| Klinger Oscillator | 2 | none needed | 1.61× |
| Least Squares MA | 2 | none needed | 1.82× |
| Sine-Weighted MA | 2 | none needed | 1.61× |
| Ehlers Cyber Cycle | 2 | none needed | 1.43× |
| Derivative Oscillator | 2 | none needed | 2.16× |
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 Stellar (XLM), Woodies CCI 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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