Tag Archives: Machine learning
A reference to idiosyncratic trading strategies was made in a market commentary by Neal Berger, the President of Eagle’s View Asset Management. In this article we attempt to clarify what these idiosyncratic strategies are.
In the past trading psychology played an important role in controlling the emotional factors that affected profitability. Nowadays, anyone talking about a need for proper trading psychology has fallen behind in the era of algo trading and machine learning. If … Continue reading
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.
This is a state-of-the-art market neutral long/short equity strategy based on the Dow stocks. Signals are generated after the close of each trading day and profit calculations are based on the change from the open and close of the next … Continue reading
We are pleased to announce the release of DLPAL S v2.0. This new version includes a few enhancements and a fully updated manual.
In this article we discuss feature generation for a long/short forex strategy. This strategy can be used in conjunction with long/short equity strategies for diversification purposes.