Next Months Model


The 5-Layer Astro-Based Algorithm For Price Trend Predictions

The 5-Layer model is a prediction algorithm for the next coming months with daily resolution. It is designed to answer: 

What is the best week to enter to stock and what is the best week to exist the stock in a period of a year.



5-Layer Model Description

The 5-Layer model provides future price directions in 5 different resolutions:

 --> Yearly model       (Dark Blue),   corresponds to a ~250 moving average

 --> Quarterly model,  (Light Blue),  corresponds to a ~100 moving average around the yearly

 --> Monthly model,    (Green),          corresponds to a  ~50 moving average around the yearly

 --> Weekly model,      (Orange),       corresponds to a  ~20 moving average around the yearly

 --> Daily model,          (Velvet),         corresponds to a  ~10 moving average around the yearly


Forecast Method

The 5-Layer model uses artificial intelligence to find the effect of thousands of astronomy and astrology events in the past on the price movements and creates a correlation that can be prolonged to the future.


Legend for all prediction pictures

Blue side (left) of the picture is the price hisotry.

Pink side (right) of the picture is the prediction.

Black line or Green/Red candlesticks is the price.

Vertical red lines: Dates added manually. 

Yellow circle indicates proabable local inversion of 180 degrees.


Example-1: GOLD


The following picture shows the GOLD price until Jan 2018 with the Yearly Trend Forecast, the 1st layer of the 5-Layer model:


The following picture of GOLD shows the Yearly Trend as shown above, with the real price for 9 months. The price was added without changing the forecast:

This example shows the very good correlation between the forecast and the real GOLD price.

The following picture shows GOLD forecast with an additional layer of the 5-Layer model the Weekly-Trend, the 5th layer of the 5-Layer model:

In this example we can see the finer granularity of dates of trend-changes on weekly basis.  

The combination of coarse and fine forecast trend lines provide a great tool to assist in defining the bet timing for market entry and exit points. 

The two date points (vertical red lines) on the graph mark times when both trend lines, the Yearly and the Weekly change direction. These points indicate high probablility dates of major change of direction.

How can we benefit using the forecast?

Loss Protection - First, by understanding that the up-trend that was valid till Jan-2018 is going to change soon, protecting us from potential loses. 

Gain - In this case, buying short in the first marked date and exiting on the second date would have generated a 13.88% gain in less than 6 months. As shown in the picture below:


The 2nd, 3rd and 4th layers of the model represent Quarterly, Monthly and Bi-weekly trend lines in respect, as shown in the picture below:

These additional trend lines provide additional opportunities for market entry and exit dates when a combination of lines change direction. 

The following picture shows the 5-layer model, all layers on GOLD .



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Example-2: IBM 6 Months


The following picture shows IBM stock 6-months forecast  with the 5-Layer model:

The forecast as was generated and presented on Jan-2017:

The result including the real price, as presented on July-2017, 6 Months later:

How can we benefit using the forecast?

The forecast shows an up trend till March-8 2017 and then a down trend until July 2017. One possible trading option would be to move forward with the following two transactions:


Transaction-1: (9% gain) Buy on Jan 2017 (price=166), Exit on Mar-8 2017 (Price=182)

Transaction-2: (15% gain ) Short on March-8 2017 (Price=182), Exit on July (price=154)

In total, this method should have provided 24% gain


Alternative: buy and hold: 

Buy on Jan 2017 (166), sell at Jul-2017 (154) whould have resulted a 6% loss


Example-3: IBM 1 Year


The following picture shows IBM stock forecast for 1-Year with the 5-Layer model:

The forecast was generated and presented on Jan-2017:


The results including the  real price, as presented on Jan-2018, 12 Months later:

As we can see from the examples above, the 5-Layer model provides mutiple opportunities for high probability trend changes.


Detailed Report Examples for IBM

5-Layer 3 Months IBM Example.pdf

5-Layer 6 Months IBM Example.pdf

5-Layer 12 Months IBM Example.pdf



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Additional Information:


What can be forecast?

The 5-Layer model is agnostic to the price instrument and supports forex, commodities, stocks and indexes.


Accuracy

The most effective way to experience projection lines accuracy is by comparing the results with the forecast visually. Projection lines forecast accuracy depends on the specific price instrument. However, in general,  there is a very high correlation between the projection lines created by the 5-Layer model and  the actual price movements. Past years visual performance of the  5-Layer model are presented within the example for most cases and can easily be generated on demand for others.


5-Layer Model Expected Performance

The 5-Layer model provides price directions probabilities in 5 different resolutions. THe correlation of the finer model is better in shorter forecast horizons. The Yearly model is great if we want to see the general trend for next year and the Daily model will be better to see the exact days for timing in the next 3 months:

 --> Yearly model,        (Dark Blue),   up to +/- 4 weeks range in a year

 --> Quarterly model (Light Blue),  up to +/- 2 weeks range in 6 months

 --> Monthly model   (Green),          up to +/- 2 weeks range in 6 months

 --> Weekly model,      (Orange),       up to +/- 1 weeks range in 3 months

 --> Daily model         (Velvet),         up to +/- 3 days range in 3 months


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Additional Examples


Bitcoin (BTC-USD)

Check the Bitcoin (BTC-USD) results for 7 months here.



Crude-Oil

5-Layer model for Crude-Oil for whole year (2015)



Stocks: Intel, IBM, GE





Index - The Indian NIFTY50, 4 Months Forecast


GOLD - 18 Months Forecast



Additional Examples