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  1. Data Science and Machine Learning (Part 05): Decision Trees

    by , 06-30-2022 at 01:35 AM
    A decision tree is a type of supervised Machine Learning technique used to categorize or make predictions based on how a previous set of questions were answered. A model is a form of supervised learning, meaning that the model is trained and tested on a set of data that contains the desired categorization.
  2. Learn how to design a trading system by Ichimoku

    by , 06-28-2022 at 09:34 PM
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    Welcome to a new article in our series which can learn through it how to design a trading system by the most common technical indicators. In this article, we will learn a new technical tool in detail that can be used in our favor to learn how to create a simple trading system based on simple strategies based on the main concept or idea of this indicator.

    We will cover this indicator through the following topics:
  3. Candles without shadows

    by , 06-27-2022 at 01:02 AM
    Candles without shadows - indicator for MetaTrader 5

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    A candlestick chart without shadows is built in the subwindow.
  4. Developing a trading Expert Advisor from scratch (Part 8): A conceptual leap

    by , 06-26-2022 at 01:12 AM
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    Sometimes, when developing some projects, we may find new ideal and new possible features that can come in handy and provide a big improvement to the system we are creating. But the question arises: what is the easiest way to implement the new functionality?


  5. MQL5 Wizard techniques you should know (Part 01): Regression Analysis

    by , 06-25-2022 at 01:40 AM
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    MQL5 Wizard allows the rapid construction and deployment of expert advisors by having most of the menial aspects of trading pre-coded in the MQL5 library. This allows traders to focus on their custom aspects of their trading such as special entry and exit conditions. Included in the library are some entry and exit signal classes like signals of 'Accelerator Oscillator' indicator, or signals of 'Adaptive Moving Average' indicator and many others.
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