Sell Or Buy -

A popular approach where a "trader agent" learns to maximize profits through trial and error. Papers in this field often define actions simply as -1 (sell), 0 (hold), and 1 (buy).

Research on "sell or buy" decisions often falls into two categories: using AI and behavioral economics studying human bias. sell or buy

Research from the American Economic Association shows that investors are generally more likely to sell a security when they have a gain rather than a loss, even if holding onto the "loser" is financially detrimental. A popular approach where a "trader agent" learns

One of the most notable "deep" papers in the technical domain is "Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution", which uses complex AI policies to decide both what to trade (the high-level portfolio) and how to execute the buy/sell orders (the low-level timing). 1. AI and Deep Learning Models Research from the American Economic Association shows that

Studies have found that combining Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) models offers higher accuracy than simple time-series methods.