In the previous article entitled "Practical application of neural networks in trading. It's time to practice", we considered the practical application of a neural network module implemented using Matlab neural networks. However, that article did not cover questions related to the preparation of input data and network training related operations. In this article, we will consider these questions using examples and will implement further code using ...
The concepts of trend and flat can be clearly and fully defined. Besides, it is possible to compare the trendiness degree of different instruments as well as of a single instrument on different scales. Such an analysis allows us to evaluate characteristics and features of instruments and construct trading algorithms considering individual behavior of each instrument. Knowing statistical characteristics of an instrument and their change ...
Camarilla Points - indicator for MetaTrader 5 Camarilla Points indicator is based on Stocks & Commodities V. 31:3 (pg. 10-15).
Gradient boosting is a powerful machine learning algorithm. The method produces an ensemble of weak models (for example, decision trees), in which (in contrast to bagging) models are built sequentially, rather than independently (in parallel). This means that the next tree learns from the mistakes of the previous one, then this process is repeated, increasing the number of weak models. This builds a strong model which can generalize using heterogeneous ...
Table of Contents IntroductionGeneral What Are Overbought/Oversold Zones in terms of the Process DynamicsOn Accuracy in Detecting the Overbought/Oversold ZonesConsequences of Entering the Market When in the Overbought/Oversold ZoneEvaluating Losses Related to the Risk of Opening a Position in Overbought/Oversold ZonesConsequences of Exiting the Market When in the Overbought/Oversold Zone Pros and Contras of Using Conventional Indicators to Detect Overbought/Oversold Zones ...
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