Sell — Or Buy

Deep academic dives into why humans choose to buy or sell reveal significant psychological biases.

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

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

Research explores how external "noise" dictates trading signals.

A 2023 study found that investors who make "sell or buy" decisions together (with family or friends) are significantly less overconfident and make better choices than those deciding alone. Deep academic dives into why humans choose to

The HRPM Framework (mentioned above) is significant for managing the "commission fee" problem—it learns that simply knowing whether to buy or sell isn't enough; you must also minimize the cost of the trade itself. 2. Behavioral & Decision-Making Research

Recent research focuses on using deep learning to automate "buy/sell/hold" signals, often outperforming traditional methods. AI and Deep Learning Models Studies have found

Interestingly, some research suggests that having less money (leverage constraints) can actually improve outcomes because it forces investors to sell losing assets sooner to fund new opportunities, rather than holding on to them indefinitely. 3. Market Sentiment Influences