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Tape Reading is a trading method used by some traders at various stages of trading. This method is very effective and, when used correctly, it provides a stable profit growth in a safer and more consistent way than when using the well-known Price Action, which is pure candlestick observation. However, the use of Tape Reading in its currently presented form is a very complex and tedious process which requires constant concentration of attention. Over time, we inevitably begin to make mistakes ...
There is one type of assets that makes traders' life very difficult for traders — it is the futures contracts. But why do they make life difficult? When a financial instrument contract expires, a new contract is created which we then trade. Actually, upon contract expiration, we need to finish any its analysis, save everything as a template and import this template into a new contract to continue the analysis. This is a common thing for anyone trade this type of asset, but even futures contracts ...
A trading EA can be truly useful only if it can use custom indicators; otherwise, it is just a set of codes and instructions, which can be well designed, assist in managing positions or executing market deals, and that's probably all. more... ------------------- Developing a trading Expert Advisor from scratch (Part 10): Accessing custom indicatorsDeveloping a trading Expert Advisor from scratch (Part 9): A conceptual leap (II) Developing a trading Expert Advisor from scratch (Part 8): A conceptual leap ...
In the previous part, we created a basic system which enables the use of templates within a floating window. Although we have made many changes, the code is not yet finished. This has been done intentionally in order to keep the explanation simple, because while the use of templates in floating widows is rather simple, the use of objects is something much more complicated. So, be ready for a completely new job. more... ------------------- Developing a trading Expert Advisor from scratch (Part 9): A conceptual leap (II) ...
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. ---------------- Data Science and Machine Learning (Part 01): Linear RegressionData Science and Machine Learning (Part 02): Logistic RegressionData Science and Machine Learning part 03: ...
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