Tag Archives: supervised learning
In this article we discuss the steps involved in using DLPAL LS to develop and execute trading strategies based on engineered features with fixed and machine learning models.
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.
Value and institutional investors, market makers, specialists and other savvy professionals profited handsomely in the last three decades from the losses of traders using naive technical analysis, such as chart patterns and simple indicators. The next huge trap is machine … Continue reading