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feat: add RRSI (Rocket RSI) — Ehlers TASC May 2018
Algorithm: SuperSmoother-filtered momentum → Ehlers RSI → Fisher Transform - 2-pole Butterworth IIR pre-filter removes noise - Ehlers RSI (raw summation, not Wilder) outputs [-1,1] - arctanh produces Gaussian-distributed zero-mean oscillator Files: Rrsi.cs, Rrsi.Quantower.cs, Rrsi.md, 31+7 tests Integration: sidebar, indices, Python bridge (Exports, _bridge, oscillators, SPEC) Build: 0 warnings, 0 errors | Tests: 15,963 passed, 0 failed
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@@ -42,6 +42,7 @@ Oscillators fluctuate above and below a centerline or within bounded ranges. Use
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| [REFLEX](reflex/Reflex.md) | Ehlers Reflex | Ehlers zero-centered reversal oscillator using super smoother with normalized sum-of-differences. |
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| [REVERSEEMA](reverseema/ReverseEma.md) | Ehlers Reverse EMA | 8-stage cascaded Z-transform inversion subtracts EMA lag, producing zero-centered oscillator signal. |
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| [RVGI](rvgi/Rvgi.md) | Relative Vigor Index | Open-close vs high-low ratio with SMA smoothing. Measures conviction. |
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| [RRSI](rrsi/Rrsi.md) | Rocket RSI | Fisher Transform of Super Smoother–filtered RSI. Sharp cyclic reversal signals. |
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| [SMI](smi/Smi.md) | Stochastic Momentum Index | Distance from range midpoint. More sensitive than classic Stochastic. |
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| [SQUEEZE](squeeze/Squeeze.md) | Squeeze | BB width < KC width indicates consolidation. Breakout imminent. |
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| [SQUEEZE_PRO](squeeze_pro/squeeze_pro.md) | Squeeze Pro | Multi-level BB vs KC squeeze (wide/normal/narrow) with MOM-smoothed momentum. LazyBear. |
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