The best indicator for Global Payments (GPN)
We backtested 20 indicators across daily, weekly and hourly charts on real Global Payments (GPN) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.
Stochastic
On the daily chart, this is the strongest risk-adjusted edge we found for Global Payments (GPN) over ~25.3 years — trailing buy-and-hold by 2.3% CAGR.
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 | Stochastic ✓ | Daily | 10.1% | 0.56 | -44.1% | 72.8% | 125 | -2.3% |
| 2 | Williams %R ✓ | Daily | 7.5% | 0.44 | -49.2% | 71.6% | 169 | -4.9% |
| 3 | Bollinger Breakout | Weekly | 5.3% | 0.43 | -34.7% | 57.1% | 21 | -6.4% |
| 4 | Money Flow Index ✓ | Daily | 7.7% | 0.42 | -36.9% | 63.6% | 22 | -4.7% |
| 5 | CCI | Daily | 6.8% | 0.41 | -54.9% | 72.6% | 124 | -5.6% |
| 6 | Bollinger Mean-Reversion ✓ | Daily | 5.9% | 0.39 | -40.1% | 70.3% | 111 | -6.6% |
| 7 | RSI Trend (>50) | Weekly | 6.0% | 0.37 | -78.8% | 44.3% | 61 | -5.8% |
| 8 | SMA 50/200 Cross ✓ | Daily | 5.9% | 0.36 | -52.3% | 47.1% | 17 | -6.5% |
| 9 | WaveTrend (8/6/4) | Daily | 5.9% | 0.36 | -56.8% | 69.2% | 91 | -6.5% |
| 10 | WaveTrend (8/6/4) ✓ | Weekly | 5.3% | 0.35 | -54.0% | 89.5% | 19 | -6.5% |
| 11 | Rate of Change | Weekly | 5.3% | 0.35 | -62.5% | 41.6% | 77 | -6.5% |
| 12 | EMA 50/200 Cross | Daily | 6.2% | 0.37 | -58.6% | 28.6% | 14 | -6.2% |
| 13 | RSI Mean-Reversion ✓ | Daily | 4.5% | 0.34 | -42.7% | 65.8% | 38 | -7.9% |
| 14 | Holy Grail Confluence ✓ | Daily | 4.9% | 0.34 | -41.9% | 67.6% | 37 | -7.5% |
✓ = held up out-of-sample. Hypothetical, costs included. See methodology.
For Global Payments (GPN), Stochastic on the daily timeframe gave the best balance of return and risk in our test. It still trailed buy-and-hold on raw return — 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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