From 6e05b5e72b65bcefaaa27944d722064991b4e211 Mon Sep 17 00:00:00 2001 From: Toh4iem9 Date: Sun, 8 Mar 2026 17:09:08 +0100 Subject: [PATCH] new files added --- .../MyIndicators/Quant/Autocorrelation_Pro.md | 49 +++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 Indicators/MyIndicators/Quant/Autocorrelation_Pro.md diff --git a/Indicators/MyIndicators/Quant/Autocorrelation_Pro.md b/Indicators/MyIndicators/Quant/Autocorrelation_Pro.md new file mode 100644 index 0000000..99aa82b --- /dev/null +++ b/Indicators/MyIndicators/Quant/Autocorrelation_Pro.md @@ -0,0 +1,49 @@ +# Autocorrelation Pro (Indicator) + +## 1. Summary + +**Autocorrelation Pro** measures the "Serial Dependence" of market returns. It answers the question: *"Does yesterday's price move predict today's price move?"* + +Unlike trend indicators that follow price levels, this proprietary statistical tool analyzes the relationship between the *Current Return* ($R_t$) and the *Previous Return* ($R_{t-1}$). It is a powerful filter for distinguishing between Momentum Regimes and Mean Reversion Regimes. + +## 2. Methodology + +The indicator calculates the **Lag-1 Pearson Correlation Coefficient** over a rolling window. + +### The Formula + +$$\rho_1 = \frac{\text{Cov}(R_t, R_{t-1})}{\sigma_{R_t} \sigma_{R_{t-1}}}$$ + +* **Positive Correlation ($\rho > 0$):** **Momentum Effect.** A positive return is likely followed by another positive return. "Winners keep winning." +* **Negative Correlation ($\rho < 0$):** **Reversion Effect.** A positive return is likely followed by a negative return (pullback). The market is "choppy" or "elastic". +* **Zero Correlation ($\rho \approx 0$):** **Random Walk.** The market has no memory; price changes are independent. + +*Note: The calculation uses Logarithmic Returns ($\ln(P_t/P_{t-1})$) for statistical accuracy.* + +## 3. Visualization & Interpretation + +The indicator displays a colored Histogram oscillating between -1.0 and +1.0. + +* **Green Bars (> 0.1):** **Trend Mode.** The market is exhibiting serial persistence. This is the optimal environment for: + * Breakout strategies. + * Moving Average crossovers. + * Adding to winning positions. +* **Red Bars (< -0.1):** **Mean Reversion Mode.** The market is oscillating. Prices are rejecting new highs/lows. This is the optimal environment for: + * Buying Support / Selling Resistance (Range Trading). + * Fading breakouts (False Breakouts are common). + * Bollinger Band / RSI strategies. +* **Gray Bars (-0.1 to 0.1):** **Random Noise.** No clear statistical edge. + +## 4. Parameters + +* `InpPeriod`: The lookback window for the correlation calculation (Default: `20`). + * *Shorter Period (e.g., 10):* Highly reactive, good for scalping. + * *Longer Period (e.g., 50):* Institutional regime filter. +* `InpThreshold`: The significance level for coloring (Default: `0.1`). +* `InpPrice`: The price source to analyze (Default: `PRICE_CLOSE`). + +## 5. Strategic Usage + +1. **Trend Filter:** Before entering a trend trade, check the Autocorrelation. If it is **Red (Negative)**, the probability of a sustained trend run is statistically low, even if other indicators say "Buy". Wait for it to turn Green. +2. **Volatile Breakouts:** If volatility is high but Autocorrelation is **Red**, expect a "V-Top" or "V-Bottom" reversal rather than a clean trend. +3. **Regime Change:** The transition from Red to Green often marks the moment a consolidation turns into a breakout.