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Spazz MSi

Diupdate
This innovative adaptation of the Enhanced McClellan Summation Index (MSI) incorporates advanced statistical analysis to refine its market interpretation capabilities. The core enhancement involves the integration of a Z-score calculation, which is applied to a user-selectable price data series (open, high, low, close, or their derivatives).

Key modifications and improvements include:

1. Flexible Data Input: The indicator now allows for the selection of various price points or their combinations (e.g., OHLC4, HLC3) as the basis for the MSI calculation, enhancing its adaptability to different trading strategies and market conditions.

2. Z-Score Integration: By incorporating a Z-score metric, the indicator provides a standardized measure of the price series' deviation from its mean. This statistical approach offers a more nuanced view of market extremes.

3. Dynamic Overbought/Oversold Identification: The Z-score implementation enables a more sophisticated method for identifying overbought and oversold conditions. These states are now determined relative to the asset's own historical volatility, rather than fixed thresholds.

4. Automated Signal Generation: The indicator now features an algorithmic approach to generate buy and sell signals. These signals are triggered when specific Z-score thresholds are breached, offering traders clear, statistically-backed entry and exit points.

5. Visual Enhancements: The addition of graphical elements, such as color-coded plots and shape markers, improves the indicator's visual interpretability, allowing for quicker and more intuitive market analysis.

This enhanced version of the McClellan Summation Index combines the robust trend-following capabilities of the original MSI with the precision of statistical analysis. By doing so, it provides traders with a more refined tool for market timing and trend identification, particularly useful in volatile or transitioning market conditions.
Catatan Rilis
Added a mean revision dotted line at 0 making it easier to see.
Catatan Rilis
1. Added a z-score dotted line on the 1.5 and -1.5 areas to point out possible areas that have an extreme z-score but haven't met the threshold to generate a red or green flag.

2. I changed some of the thresholds, and adjusted some of the settings inside of the indicator and saved them as default as well.

A lot of great trades come from the marked areas as they revert back to the mean and then either bounce, or continue back to previous levels of extremes.
statisticsTrend AnalysisVolatility

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