The best indicator for POL (ex-MATIC) (POL)
We backtested 382 indicators across daily, weekly and hourly charts on real POL (ex-MATIC) (POL) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
POL (ex-MATIC) (POL) stopped updating on 2023-10-31
Our price source has returned nothing for POL-USD in 1,047 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 (0.0082, 2023-10-31) 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.
VWAP Bands
On the daily chart, this is the strongest risk-adjusted edge we found for POL (ex-MATIC) (POL) over ~4.7 years — beating buy-and-hold by 88.2% CAGR.
POL (ex-MATIC) (POL) 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 POL (ex-MATIC) (POL) — beating buy-and-hold by 71.0% 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 | VWAP Bands ✓ | Daily | 69.4% | 0.91 | -57.9% | 56.0% | 25 | 88.2% |
| 2 | MA Envelope ✓ | Daily | 45.4% | 0.76 | -87.6% | 50.9% | 57 | 64.2% |
| 3 | Connors RSI-2 ✓ | Daily | 50.1% | 0.75 | -74.6% | 52.5% | 61 | 68.8% |
| 4 | Projection Bands ✓ | Daily | 26.8% | 0.64 | -84.8% | 38.1% | 42 | 45.6% |
| 5 | Ehlers TrendFlex | Daily | 24.1% | 0.6 | -91.9% | 16.7% | 18 | 42.9% |
| 6 | Ichimoku TK Cross ✓ | Daily | 29.4% | 0.59 | -83.9% | 35.7% | 28 | 48.2% |
| 7 | Williams Alligator | Daily | 27.8% | 0.58 | -78.8% | 39.0% | 41 | 46.6% |
| 8 | ROC (60) | Daily | 21.4% | 0.57 | -93.7% | 27.6% | 29 | 40.2% |
| 9 | Connors RSI ✓ | Daily | 19.0% | 0.56 | -83.6% | 48.3% | 60 | 37.8% |
| 10 | EMA 100 Trend | Daily | 17.9% | 0.55 | -94.1% | 23.8% | 21 | 36.7% |
| 11 | KAMA 200 Trend | Daily | 19.9% | 0.55 | -89.0% | 12.5% | 16 | 38.7% |
| 12 | Disparity (100) | Daily | 17.9% | 0.55 | -94.1% | 23.8% | 21 | 36.7% |
| 13 | Linear Regression Slope | Daily | 14.5% | 0.54 | -93.9% | 26.7% | 30 | 33.3% |
| 14 | Coppock Curve | Daily | 14.3% | 0.54 | -95.1% | 21.4% | 28 | 33.1% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
The question doesn't apply here. Buy-and-hold on POL (ex-MATIC) (POL) lost money across the out-of-sample window in 248 of 248 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 POL (ex-MATIC) (POL), VWAP Bands 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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