The best indicator for Germany (EWG)
We backtested 382 indicators across daily, weekly and hourly charts on real Germany (EWG) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Where Germany (EWG) 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.
Williams Fractals
On the weekly chart, this is the strongest risk-adjusted edge we found for Germany (EWG) over ~30.3 years — beating buy-and-hold by 2.8% CAGR.
Germany (EWG) on the weekly 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 Germany (EWG) — trailing buy-and-hold by 5.4% 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 | Williams Fractals ✓ | Weekly | 9.1% | 0.66 | -27.6% | 62.1% | 29 | 2.8% |
| 2 | Donchian 10 Break ✓ | Weekly | 7.8% | 0.58 | -29.5% | 57.1% | 28 | 1.6% |
| 3 | SMA 20/80 Cross ✓ | Daily | 7.2% | 0.52 | -36.8% | 48.2% | 56 | 0.9% |
| 4 | Trend Intensity Index ✓ | Daily | 7.0% | 0.51 | -35.7% | 47.8% | 46 | 0.7% |
| 5 | LSMA 200 Trend ✓ | Daily | 5.8% | 0.51 | -28.2% | 45.4% | 183 | -0.5% |
| 6 | Aroon ✓ | Weekly | 6.6% | 0.51 | -42.7% | 67.4% | 43 | 0.4% |
| 7 | Aroon Oscillator ✓ | Weekly | 6.6% | 0.51 | -42.7% | 67.4% | 43 | 0.4% |
| 8 | WMA 10/30 Cross ✓ | Weekly | 6.8% | 0.5 | -31.2% | 54.8% | 31 | 0.6% |
| 9 | ZLEMA 200 Trend ✓ | Weekly | 5.4% | 0.5 | -27.8% | 45.8% | 24 | -0.9% |
| 10 | Hull MA 20/80 Cross ✓ | Weekly | 6.6% | 0.5 | -44.1% | 52.9% | 34 | 0.4% |
| 11 | SMA 20/50 Cross ✓ | Daily | 6.8% | 0.49 | -33.4% | 48.8% | 84 | 0.5% |
| 12 | McGinley Dynamic ✓ | Weekly | 7.3% | 0.49 | -49.0% | 40.0% | 65 | 1.0% |
| 13 | Relative Momentum Index ✓ | Weekly | 6.5% | 0.49 | -39.7% | 42.9% | 28 | 0.3% |
| 14 | Gator Oscillator ✓ | Weekly | 3.6% | 0.49 | -13.5% | 57.5% | 106 | -2.6% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
What it would take to beat buy & hold on Germany (EWG)
28 of 659 tested setups beat buy-and-hold on Germany (EWG) outright. Another 345 could get there with leverage they would survive — but 147 would be liquidated by their own drawdown before they caught it.
| Indicator | Beats B&H unlevered | Leverage needed | Leverage survived |
|---|---|---|---|
| McGinley 30 Trend | 1 | 1.03× | 3.5× |
| Premier Stochastic | 1 | 1.09× | 4.52× |
| FRAMA 10/30 Cross | 1 | 1.09× | 3.9× |
| Aroon | 1 | 1.11× | 5.3× |
| Aroon Oscillator | 1 | 1.11× | 5.3× |
| TSI (13,7) | 1 | 1.39× | 3.81× |
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 Germany (EWG), Williams Fractals on the weekly 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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