Universal RPPI Equities [SS Premium]

Introducing the RPPI for Equities indicator.
Like its companion the RPPI for futures and indices, the RPPI for Equities is a compendium indicator of sorts, containing multiple different math based models for various equities tickers.
However, unlike the RPPI for futures and indices, the RPI for equities also has the ability to autogenerate a model that is tailored to the volatility of equities, if a base model does not exist within its compendium.

How Does it work and what does it do?

The RPPI contains multiple models that have been developed and corrected by myself, an example of which can be visualized in the above chart for the DIS ticker. These models aim to forecast intraday, weekly and monthly price movements and help you to ascertain target prices that are realistic and achievable within your desired timeframe.

Which timeframes are availabe?

The indicator supports the following timeframes:
1. Daily
2. Weekly
3. Monthly
4. 3 Hour
5. 3 Month

What are some of the features?

So in addition to forecasting on the various timeframes, there are some innate functionalities and capabilities that have been programmed into the RPPI, in the same way they have been programmed into the futures version. These include:

1. Displaying Range Accumulation Zones & Standard Deviation
2. Performing autoregression assessments to help ascertain likely trajectory
3. Running Probability assessments on all timeframes
4. Displaying model performance via the demographic function.

While these features may not be new to you, I will go over them briefly below.

Displaying Range Accumulation Zones:

In the above example, you can see NVDA on the daily timeframe. The accumulation zones are displayed in blue and as a percentage value. We can see that the majority of the accumulation rested to the upside.
The prevailing theory with price accumulation is a ticker will frequently retrace and revisit areas of high accumulation, as these represent areas of demand and high volume.

Performing Autoregression Assessment

When you toggle on the autoregression assessment, you will get 3, trendlines. These represent the projected trajectory of the high, low and close. You can set your forecast length out as long or as short as you want.
The indicator will auto-select the best length and plot out the hypothesized trajectory based on the strongest identified trend.

Running Probabilities
To run probabilities, it is important to remember to be on the timeframe you wish to run the probabilities for. So, if you wish to run them on the daily timeframe, make sure your chart is on the daily and the indicator is set to "Daily" timeframe.

Once toggled on, you will get an assessment that looks like this:

This will display a breakdown of all previous instances of similar setups, and it will show you how many times each target were hit and give you an overall assessment of the likely sentiment, as well as the backtest results.

There are two types of probability options, "Momentum" and "Z-Score". The momentum is based on the underlying technicals, such as RSI and Stochastics; whereas, z-score is an assessment of standard deviation. If you want to know which one is "Best", you simply need look at the backtest results.

Displaying Model Performance:

To display model performance, go into the settings menu and select "Demographic Data".
As with the probabilities, please make sure you are set to the appropriate chart timeframe. If you are not, you will get an error message telling you to modify your timeframe.

This will break down how many times a ticker closes above or below its range, how many times the retracement target (GT) is hit and how many times, on average, a ticker hits the second high or second low target. This gives you some very useful stats to help you with your assessment (i.e. the TSLA example shows that, on the weekly timeframe, closing the week outside of the range only happens 11% of the time, so if we make a run outside of the range on a Monday or Tuesday, you know a good setup could be to short it and vice versa to the downside).


Warnings and Messages
This is not so much a feature of the indicator but just a reference to be aware of. In the settings menu, there is an option to "Show Warnings". This will prompt you with any warnings that exist on any ticker model. For example, if we look at the warnings for TSLA:

And AAPL:

Not all tickers have warnings, but the ones that you need to be aware of are programmed into the indicator for your reference.

Which models does this contain?

This contains over 30 different stock models, from LMT, BA, CSCO and GE to TSLA, NVDA, AAPL, GOOG, PCAR, META, ADBE and the list goes on.
As stated previously, it does have the ability to autofit.

WARNING
As a general warning, do not use this indicator to autofit to indices or futures. The parameters are set to what I find works best for equities and heightened volatility, it will not work great for indices. Please refer to other resources, such as the Universal Forecaster for such things as the equities RPPI will provide unreliable results if you are trying to cross use between different types of unintended equities (i.e. CFDs, Futures or Indicies)! I

As always, leave your questions and comments below.
Please be sure to read the instructions above the adding to favorites regarding how to access the indicator.

Thanks for reading and safe trades as always!

릴리즈 노트:

Updated some code to improve the stability related to issues a user was having.
Should not impact functionality and should enhance stability.

릴리즈 노트:

Added some logic to help prevent user error.
The indicator will prompt you when you are using functions incorrectly and inform you on how to use them, to avoid confusion.

릴리즈 노트:

Range extension added, as with the Futures version and the universal version:

Functionality remains the same, no settings or additions required to toggle the levels on or off, they will automatically trigger when required.

릴리즈 노트:

AMZN fix.

릴리즈 노트:

Updated NVDA Model,
No functionality change, just revision.