EUR/USD... new positions

EUR/USD... hidden (not so) bearish divergence ???

Done... and dusted. The huge drawdown was a kicker that puts a bit of a pressure on me.


Now, will continue watching the World Cup ; )-


Test continues next week... Have a nice weekend!





Trades taken... All in EUR/USD pair only

Updates...

• In this release, I have made some minor changes to the way the data sources are handled within the system.

• New templates: Once loaded, check/verify the indicator parameter if you prefer a recursive calculation is ON or OFF

dynamic MyNET... SmoothStep implementation... got optimized!



Using this v2v dynamic trading system, a new 10K account was opened to trade EUR/USD only.

Profit Target is 1K USD: Minimum of 5 trading days

Current open & pending positions... EUR/USD



dynamic MyNET: Using RSI with Hann windowing and SmoothStep function
Pivot Fibs: Based on previous NY session's VWAP

nathanvbasko wrote: Sat Dec 10, 2022 4:19 am EUR/USD...

I slept this out... got busy coding as well ; )- A lost cause... I will continue the test with EUR/USD soon enough.

dynamic MyNET: added Non-Linear Regression-adjusted QQE double

TASC magazine August 2022 issue, featured another variant of a moving average called “The Linear Regression-Adjusted Exponential Moving Average." Author Vitali Apirine presents a technique called the linear regression-adjusted exponential moving average (LRAdj EMA) to combine a linear regression indicator with an EMA. The indicator can be used to help define turning points while filtering price movement. The LRAdj EMA can be applied in combination with a traditional exponential moving average of the same length to facilitate trend identification.

By contrast, under the v2v dynamic trading system architecture or inside the dynamic MyNET tool...
The algorithm was applied to Non-Linear Regression-adjusted Quantitative Qualitative Estimation (QQE) double (NLR-adj QQE double). It then inherits all technologies used by the v2v dynamic trading system.

As a form of regression analysis, nonlinear regression involves fitting data to models and expressing the results mathematically. Compared to simple linear regression, which generates a straight line between two variables (X and Y) as if Y was a random variable, nonlinear regression must generate a curve (typically). This model aims to minimize the sum of squares.

An observation's sum of squares measures how far it varies from the data set's mean. It is computed by first finding the difference between the mean and every data point in the set. Then, each of those differences is then squared. Lastly, all of the squared figures are added together. The smaller the sum of these squared figures, the better the function fits the data points in the set. Nonlinear regression uses logarithmic functions, trigonometric functions, exponential functions, and other fitting methods.


To summarize the Difference between Linear and Nonlinear Regression Models...

The difference between linear and nonlinear regression models isn’t as straightforward as it sounds. You’d think that linear equations produce straight lines and nonlinear equations model curvature. Unfortunately, that’s not correct. Both types of models can fit curves to your data—so that’s not the defining characteristic. To know more on how to identify linear and nonlinear regression models >>> visit this URL https://statisticsbyjim.com/regression/ ... on-models/

The difference between nonlinear and linear is the “non.” OK, that sounds like a joke, but, honestly, that’s the easiest way to understand the difference.

MTF mode (e.g. H1 TF)


M30 TF

Here is the current release... with additional optimizations.
New templates:
Once loaded, check/verify the indicator parameter if you prefer a recursive calculation is ON or OFF

dynamic MyNET: Now with Linear Regression-adjusted QQE double


Linear Regression-adjusted QQE double



Non-Linear Regression-adjusted QQE double


New templates:
Once loaded, check/verify the indicator parameter if you prefer a recursive calculation is ON or OFF

nathanvbasko wrote: Thu Dec 15, 2022 8:30 pm dynamic MyNET: Now with Linear Regression-adjusted QQE double

New templates:
Once loaded, check/verify the indicator parameter if you prefer a recursive calculation is ON or OFF

Fixed an issue from recent update.