#54 — MTF/wave/wavelet confluence + Harvester
Hypothesis — what it tests
Whether multi-timeframe/multi-lag agreement (confluence), wavelet-scale decomposition, or an SMA-distance + bar-exhaustion fade can generate an edge that clears OANDA retail spread on S5–M15 bars.
Description
A broad campaign testing whether multi-view agreement clears the OANDA retail spread. The S5 multi-lag momentum confluence was tested trend-following (0/3 pairs WF), then flipped counter-trend on the '78% WR' intuition (also 0/3 — win rate turned out ~22% in BOTH directions, so the signal predicts neither continuation nor reversal). Exit-side variants — a wave-break exit on fast-lag reversal (WR=6%, pure S5 noise) and a strided Haar wavelet exit at S30/M1/M2 effective scales (756 configs x 4 pairs, 0 WF, statistically dead at 9–14 IS trades) — also failed. The Harvester (SMA mean-reversion + bar-exhaustion + ATR gate on M5, then M15, then M15+Markov filter; ~24,000 configs total) revealed the campaign's cleanest lesson, the 'WR gap theorem': the bar-exhaustion fade signal is genuinely directional (70–85% raw WR) but its win rate is invariably ~5% below the break-even WR at every R:R tested — that gap IS the OANDA spread, and no TP/SL geometry can close it. The one v1 'success' (89% WR) survived only because a spread<1p filter reduced it to 55 trades clustered in the 2020–2022 low-spread era.
Key result
Indicators
Algorithms
Code
Interactive version (search, filters, figures): the experiment explorer.