52 strategies. 572 coins. 365 days of data. No cherry-picking.
Scope note: this is a frozen snapshot of our Binance-era run — 52 strategy configs on the 572-coin universe of the time. The platform has since migrated to OKX (current universe 280+), so today’s simulator counts differ; the numbers below are preserved as measured.
The Top 3 (1-Year)
| Rank | Strategy | Direction | Win Rate | Profit Factor | Return | MDD | Sharpe (1yr) |
|---|---|---|---|---|---|---|---|
| 1 | Ichimoku 4H | SHORT | 54.36% | 1.49 | +12.57% | 6.02% | 1.66 |
| 2 | MACD Cross 4H | SHORT | 57.58% | 1.19 | +14.37% | 16.42% | 1.05 |
| 3 | BB Squeeze 1H | SHORT | 52.55% | 1.05 | +2.58% | 10.92% | 0.22 |
Ichimoku 4H wins on risk-adjusted return. Sharpe 1.66, MDD only 6.02%. MACD Cross has a higher raw return (+14.37%) but the drawdown is nearly 3x worse.
The Bottom 3
| Rank | Strategy | Direction | Win Rate | PF | Return | MDD |
|---|---|---|---|---|---|---|
| 1 | BB Squeeze 6H | SHORT | 28.51% | 0.38 | -12.73% | 13.49% |
| 2 | BB Squeeze 4H | SHORT | 40.22% | 0.68 | -6.36% | 7.12% |
| 3 | MA Cross LONG 6H | LONG | 41.13% | 0.70 | -2.63% | 4.27% |
Same strategy (BB Squeeze), different timeframe, opposite result. 1H works. 6H doesn’t. Timeframe matters more than the indicator itself.
The Weekly Consistency Leaders
These stayed in the top 3 for the most days over the past week:
| Strategy | Days in Top | Sharpe (1yr) | MDD |
|---|---|---|---|
| Keltner Squeeze 1H | 5 | 1.02 | 9.29% |
| Keltner Squeeze 4H | 4 | 1.49 | 4.49% |
| Ichimoku 4H | 4 | 1.66 | 6.02% |
The Numbers That Matter
- 15 out of 52 strategies had a win rate above 50% over 1 year. That’s 29%.
- Every strategy in the top 3 is SHORT. The market rewarded shorts over this period.
- The gap between #1 (Sharpe 1.66) and #3 (Sharpe 0.22) is massive. Rank alone doesn’t tell the story.
- MDD range: 4.49% (Keltner 4H) to 16.42% (MACD Cross 4H). Risk profiles vary wildly even among winners.
30-Day Snapshot (Recent Regime)
The market shifted. Over the last 30 days, the top performers flipped to LONG:
(The 1-year table above covers 52 configs; this one covers the 41 still active — configs killed or shelved after the 1-year run dropped out of the roster, so the two tables have different populations.)
| Strategy | Direction | Win Rate | PF | Sharpe (30-day window, annualized) |
|---|---|---|---|---|
| SuperTrend LONG 1H | LONG | 58.10% | 1.95 | 6.48 |
| Keltner Squeeze LONG 1H | LONG | 61.89% | 1.99 | 3.03 |
| BB Squeeze LONG 1H | LONG | 62.08% | 1.93 | 4.60 |
23 of 41 active strategies beat 50% win rate in the last 30 days. The regime changed.
Do not read those Sharpes next to the 1-year table’s. The windows differ by 12x. Our engine annualizes Sharpe with √365 regardless of how many observations there are (
risk_metrics.py,sharpe_sortino), so 3.03–6.48 over 30 days does not mean “better than 0.22–1.66 over a year” — it is a short window stretched to a year. The return side has a GIPS guard that forbids annualizing windows under 1 year; Sharpe has no such guard. The glossary explains the trap.
So What
No single strategy works in all conditions. The 1-year winners are all shorts. The 30-day winners are all longs. Picking the “best strategy” without knowing the current market regime is guessing.
The simulator runs on fresh data every day — but the tables above do not follow that refresh. This article is a frozen snapshot of the Binance-era run (see the scope note at the top). For today’s values, run it yourself on the PRUVIQ Simulator.