The best indicator for Stable (STABLE)
We backtested 382 indicators across daily, weekly and hourly charts on real Stable (STABLE) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Stable (STABLE) stopped updating on 2024-12-29
Our price source has returned nothing for STABLE-USD in 622 days. That usually means the ticker was delisted or renamed — several assets on this page type have been, and the old symbol simply stops. We are not showing key levels, because the last close we hold (0.0000, 2024-12-29) is not a current price and should not be read as one.
The backtest results below are unaffected — they describe the history that does exist, and they are what this page is for.
Pivot Points (Standard)
On the daily chart, this is the strongest risk-adjusted edge we found for Stable (STABLE) over ~1.6 years — beating buy-and-hold by 147.2% CAGR.
Stable (STABLE) 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 Stable (STABLE) — beating buy-and-hold by 104.7% 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 | Pivot Points (Standard) ✓ | Daily | 65.9% | 0.98 | -71.8% | 21.7% | 23 | 147.2% |
| 2 | Fibonacci Pivots ✓ | Daily | 62.3% | 0.96 | -71.8% | 20.8% | 24 | 143.6% |
| 3 | Camarilla Pivots ✓ | Daily | 34.0% | 0.78 | -69.8% | 26.1% | 23 | 115.3% |
| 4 | Williams Alligator | Daily | 28.6% | 0.77 | -14.3% | 11.1% | 9 | 109.9% |
| 5 | Projection Bands ✓ | Daily | -3.0% | 0.45 | -81.5% | 17.6% | 17 | 78.3% |
| 6 | KAMA 10/30 Cross ✓ | Daily | 3.9% | 0.51 | -57.2% | 22.2% | 9 | 85.2% |
| 7 | Markov Regime | Daily | 5.3% | 0.32 | -17.3% | 0.0% | 9 | 86.6% |
| 8 | Markov Regime (Confirmed) | Daily | 5.3% | 0.32 | -17.3% | 0.0% | 9 | 86.6% |
| 9 | Know Sure Thing | Daily | -16.8% | 0.31 | -50.3% | 44.4% | 9 | 64.5% |
| 10 | Hull MA 15/60 Cross | Daily | -16.8% | 0.31 | -64.6% | 33.3% | 9 | 64.5% |
| 11 | Aroon | Daily | -9.9% | 0.24 | -49.1% | 10.0% | 10 | 71.4% |
| 12 | MA Envelope ✓ | Daily | -23.2% | 0.24 | -71.0% | 20.0% | 10 | 58.1% |
| 13 | Aroon Oscillator | Daily | -9.9% | 0.24 | -49.1% | 10.0% | 10 | 71.4% |
| 14 | MACD-V | Daily | -30.2% | 0.17 | -64.6% | 25.0% | 8 | 51.1% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
The question doesn't apply here. Buy-and-hold on Stable (STABLE) lost money across the out-of-sample window in 3 of 3 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 Stable (STABLE), Pivot Points (Standard) 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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