Training ChatGPT to Day Trade with Fine-Tuning: GPT-3.5 Turbo

Опубликовано: 15 Сентябрь 2026
на канале: Eric lundberg
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📝 Resources:

Custome gpt, data structure assistant:
https://chat.openai.com/g/g-WOl7xMdYb...

Access our fine-tuning data structure assistant in the description below.
Data sources and additional materials for those interested in replicating or extending this experiment.


Welcome back to our channel! In today's experimental video, we delve into the fascinating world of stock market prediction using artificial intelligence. We've taken a unique approach by applying large language model techniques, specifically those used in GPT models, to forecast Bitcoin prices.

🔍 What's Inside?

We start by gathering historical Bitcoin data and formatting it for fine-tuning.
We then fine-tune a specialized GPT model (GPT-3 Turbo) with this data, aiming to predict Bitcoin's next-day movement.
The twist? We're using the Relative Strength Index (RSI) of the past 30 days as our primary data point.
Our success criteria? A hit rate above 60% in predictions.
🚀 Our Journey:

We introduce you to our fine-tuning data structure assistant, designed to simplify data formatting for GPT fine-tuning.
We walk you through the process of preparing and structuring the data, focusing on RSI values and their outcomes.
Witness the real-time testing of our fine-tuned model against 30 days of unseen data.
📈 Results:

Did we crack the code for predicting the stock market with AI?
Find out how our model performed against our 60% success rate benchmark.
🎓 Educational Takeaways:

This experiment isn't just about predicting Bitcoin prices. It's an educational journey into the world of AI, technical analysis, and the potential of fine-tuning large language models for specific tasks.
We also demonstrate how our fine-tuning data structure assistant can be utilized for various use cases.


Have any thoughts or questions? Drop them in the comments below!

Need help with automating your business with AI get in touch here: https://www.alicelabs.ai/

👋 Until Next Time:
Bye!

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