Having been distracted a bit by the risk manager in the last article, let's get back to the main topic — test automation. In one of the previous articles, we outlined several stages that should be completed while optimizing and searching for the best parameters of the final EA. We have already implemented the first stage, at which we optimized the parameters of a single trading strategy instance. Its results were saved in the database.
The next stage is a selection of good
NASA's Curiosity rover has been exploring the Gale Crater on Mars since 2012. That's a long time to weather dust storms, drive along the base of a mountain and crawl over endless pointy rocks. The rover's aluminum wheels have taken a beating. New images show some dramatic gaping holes, but don't be alarmed. NASA has it under control.
The photos are eye-opening. Curiosity has six wheels and some are worse off than others. The right-middle wheel looks rough, but "is still holding up well despite
Gradient Boosted Decision Trees (GBDT) are a powerful machine learning technique used primarily for regression and classification tasks. They combine the predictions of multiple weak learners, usually decision trees, to create a strong predictive model.
The core idea is to build models sequentially, each new model attempting to correct the errors made by the previous ones.
Have gained much popularity in the machine learning community as the algorithms of choice for
In the previous article, we considered the evolution of social groups where they moved freely in the search space. However, here I propose that we change this concept and assume that groups move between sectors, jumping from one to another. All groups have their own centers, which are updated at each iteration of the algorithm. In addition, we introduce the concept of memory both for the group as a whole and for each individual particle in it. Using these changes, our algorithm now allows
Looking at the S&P 500 E-mini Futures chart, the Fibonacci extension has reached its 100% fully measured move. So, where are we going from here? Another leg up, or will a deeper correction take place?
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