RSI 50-Line Momentum (14)
Positive risk-adjusted return in 13 of 18 cells — strongest on SPX500 · 4H (Sharpe 1.12); 5 cells lose after the 0.05% per-side fee. Median cell trails buy-and-hold by 70.8pp; 3 of 18 cells beat it.
§ Verdict rationale
Composite Sharpe 0.6 across 18 cells. The edge concentrates in SPX500 4H (Sharpe 1.12); 5 of 18 cells are negative after the 0.05% per-side fee.
§ Alpha score breakdown
alpha = edge (0-40: clamp(compositeSharpe/2,0,1)*40) + stability (0-25: positiveCells/18*25) + flaw penalty (0 to -25: static findings, 0 across v1 catalog) + reproduction (0-10: engine oracle parity vs pine2py, 251/257 scripts = 9)
§ Equity vs buy-and-hold — fee-adjusted, per cell
§ All 18 cells — including the ugly ones
| Market · TF | Sharpe | Return | vs B&H | Max DD | Win | Trades |
|---|---|---|---|---|---|---|
| BTCUSD 1H | -0.36 | -95.0% | -1476.2pp | -97.8% | 22% | 4560 |
| BTCUSD 4H | 0.70 | +1236.4% | -130.8pp | -66.6% | 23% | 973 |
| BTCUSD 1D | 0.91 | +3328.7% | +1939.2pp | -69.1% | 27% | 151 |
| ETHUSD 1H | -0.06 | -86.3% | -614.5pp | -92.4% | 22% | 4578 |
| ETHUSD 4H | 0.67 | +1417.4% | +902.2pp | -65.3% | 24% | 997 |
| ETHUSD 1D | 0.88 | +5848.2% | +5320.9pp | -56.3% | 26% | 151 |
| SPX500 1H | 0.32 | +8.6% | -63.6pp | -18.1% | 33% | 245 |
| SPX500 4H | 1.12 | +32.9% | -38.7pp | -14.0% | 43% | 76 |
| SPX500 1D | 0.37 | +67.4% | -515.9pp | -24.6% | 37% | 221 |
| QQQ 1H | 0.54 | +21.2% | -71.7pp | -15.7% | 33% | 237 |
| QQQ 4H | 1.06 | +46.2% | -45.7pp | -16.4% | 42% | 86 |
| QQQ 1D | 0.67 | +244.1% | -1165.4pp | -30.4% | 37% | 230 |
| GOLD 1H | 0.73 | +36.7% | -92.3pp | -30.3% | 34% | 197 |
| GOLD 4H | 0.84 | +43.9% | -84.5pp | -30.4% | 27% | 73 |
| GOLD 1D | 0.39 | +90.8% | -134.1pp | -31.3% | 33% | 220 |
| EURUSD 1H | -5.18 | -60.9% | -69.9pp | -61.4% | 23% | 944 |
| EURUSD 4H | -1.37 | -20.8% | -29.8pp | -24.7% | 24% | 239 |
| EURUSD 1D | -0.30 | -24.1% | -5.5pp | -29.4% | 41% | 244 |
13 of 18 cells positive · best SPX500 · 4H · cells are not equal length — the composite is a median
§ The exact source that ran — Pine v5
//@version=5strategy("RSI 50-Line Momentum (14)", initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=100)r = ta.rsi(close, 14)longSig = ta.crossover(r, 50)exitSig = ta.crossunder(r, 50)if longSig strategy.entry("L", strategy.long)if exitSig strategy.close("L")plot(strategy.equity, "equity")plot(strategy.position_size, "pos")plot(strategy.closedtrades, "closed")plot(strategy.wintrades, "wins")plot(strategy.grossprofit, "gp")plot(strategy.grossloss, "gl")This source was executed verbatim by the wavealgo JS engine — there is no port step to drift. The engine is oracle-verified bar-by-bar (1e-9 tolerance) against an independent Python implementation on 251/257 corpus scripts.
§ Flaw checklist
Verdict rules: pass: composite Sharpe >= 0.9 and >= 12/18 cells positive · cond: composite Sharpe > 0 and best cell Sharpe >= 0.9 · fail: otherwise · rep: static repaint/look-ahead finding (none in the authored v1 catalog: confirmed-bar signals, next-bar-open fills)
§ What the numbers mean
- Sharpe ratio
- Risk-adjusted return: mean daily return divided by its standard deviation, annualized ×√252. The composite figure is the median of the 18 cell Sharpes, not the mean — cells differ in length by an order of magnitude, and one long cell should not carry the other seventeen.
- Max drawdown
- The worst peak-to-trough equity loss over the window, measured on the fee-adjusted curve. What you would have sat through, not what you would have ended with. The headline figure is the deepest of the 18 cells, not their average.
- Profit factor (PF)
- Gross profit divided by gross loss, with fees charged to the loss side. Above 1.0 means gross gains exceeded gross losses; 1.0–1.2 is usually noise.
- Win rate
- Share of closed trades that closed profitable. A high win rate with a profit factor near 1 means many small wins and a few large losses — common in mean-reversion.
- vs buy-and-hold
- Strategy total return minus the return of simply holding the asset over the same window — the benchmark any active strategy must beat to justify existing. Shown as the median of the 18 cells plus how many cells beat it; a mean would let one long cell stand in for the rest.
- Alpha score
- The desk’s 0–100 composite: out-of-sample edge (0–40; the methodology page defines what out of sample means for the catalog), regime stability across cells (0–25), flaw penalty (0 to −25), reproduction accuracy (0–10). The exact formula ships with the data.
Bring your own. We grade it the same.
Engine: resin 0.2.2 (next-bar-open fills, TV rule) · scored UTC 2026-11-07 10:58 · deterministic rerun — same data, same numbers. Backtested results are measurements of the past, not investment advice; nothing here is a recommendation to trade. wavealgo is operated by Streamize LLC.