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 ...
The Australian Dollar made a 2-year low against the US Dollar in May as global central banks jockeyed for position in the fight on inflation. Going into the third quarter, the latest year-on-year headline CPI for the US is 8.6% and 5.1% for Australia. The weekly AUD/USD price is on ranging near and around 200 SMA for the waiting for the direction of the bullish trend to be resumed (by crossing Fibo level at 0.7211 to above) or the primary bearish ...
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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