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 sl tp signal


Predicting SL/TP Signal Using Machine Learning

#artificialintelligence

The most challenging part of trading is to decide when to exit a position. This EPAT Project could help you predict when to exit a BUY/ SELL position ie. in predicting SL/TP signal without human intervention, by using Machine Learning. This article is the final project submitted by the authors as a part of their coursework in the Executive Programme in Algorithmic Trading (EPAT) at QuantInsti . Do check our Projects page and have a look at what our students are building. Sunanda Balla is a senior data scientist building algorithmic trading models using machine learning.