Category: TRADING

Can ChatGPT Predict the Stock Market?

ChatGPT is a large-scale language model developed by OpenAI. It utilizes state-of-the-art deep learning techniques to generate human-like text responses based on the input it receives. Trained on a diverse range of internet text, ChatGPT has a vast knowledge base that allows it to understand and respond to a wide …

Selecting Pairs Using Principal Component Analysis

Pairs trading is a market-neutral strategy that involves identifying two correlated securities and taking positions based on their relative price movements. The concept behind pairs trading is to identify pairs of assets that historically exhibit a high degree of correlation, meaning they tend to move in tandem. However, when a …

Gold and Low-Volatility Stocks as Diversifiers

Gold has long been regarded as a valuable diversification tool in investment portfolios due to its unique characteristics. As an asset class, gold has historically exhibited a low correlation with traditional financial assets such as stocks and bonds. This means that gold often moves independently of other investments, especially during …

Short-Selling Leveraged Exchange-Traded Funds

Leveraged exchange-traded funds (ETFs) are investment vehicles that aim to provide amplified returns for a given index or benchmark. Leveraged ETFs use financial derivatives and debt to enhance their returns, which can be either two or three times the return of the underlying index, on a daily basis. This means …

How Effective Are Stop-Loss Orders?

A stop-loss order is a type of order used in trading to limit an investor’s losses or to take a profit. It is an instruction to sell a security when it reaches a certain price level, known as the stop price. When the stop price is reached, the stop-loss order …

How Reliable Is Out-of-Sample Testing?

Out-of-sample testing is a critical component of designing and evaluating trading systems. Trading systems are often developed and optimized using historical data, which can lead to overfitting – a situation where the system is excessively tuned to past data, resulting in poor performance on new, unseen data. Out-of-sample testing involves …