ChatGPT, an artificial intelligence (AI) language model developed by OpenAI, has released a new tool designed to simplify the process of backtesting trading strategies.
In a thread published on their X (formerly Twitter) account, on March 27, Pedma, a library of trading strategies, outlined a 6-step process. They utilized ChatGPT to backtest a simple moving average (MA) crossover strategy for Bitcoin (BTC) rather than a ChatGPT trading bot.
Here’s a breakdown of the key components:
ChatGPT Python
In the first step, the user requests ChatGPT to provide Python code for importing the required libraries for backtesting a trading strategy, with a focus on data handling from Yahoo Finance and visualization.
By providing the necessary tools right away, ChatGPT saves time and makes it easier for traders to turn their ideas into reality.
Data retrieval from Yahoo Finance
After setting up the initial libraries, Pedma asked ChatGPT how to get data. They wanted to know how to
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