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Category Archives: Machine learning
A stock market correction is underway. Below are two charts with measures of the progression of the correction for five key indexes.
In this article we compare the out-of-sample performance of a trading strategy and a machine learning model that use the exact same features.
In this article we include R code for applying binary logistic regression classification to attribute data generated by DLPAL PRO and scoring a new instance.
We are pleased to announce that a demo version for DLPAL PRO v2.0 is now available for download. Demo users can generate unlimited historical attribute files for unlimited securities to test with machine learning for a full 20 days with … Continue reading
DLPAL PRO’s advanced capabilities are used to implement a long/short ETF strategy. We present the flow and examples of historical attribute, test/train and scoring files. A Binary Logistic Regression classifier is used to obtain the final results.
We are pleased to announce the release of v2.0 of DLPAL PRO. This new version offers generation, updating and creation of train/test and scoring files with just a few mouse clicks. The generated files can be used with machine learning … Continue reading
In this article we show how to prepare historical files with continues features and a discrete target for an ensemble of securities using DLPAL PRO. Then, we apply machine learning on a random sample of half of the data and … Continue reading