Stock Chart Analysis with GPT4o Omni (Python Tutorial)
TLDRIn this Python tutorial, the presenter introduces GPT 40 Omni, a new model by OpenAI that excels in vision and audio understanding. The model is capable of processing text, audio, and images to generate corresponding outputs. The presenter demonstrates its vision capabilities by integrating it with a Python program that interacts with the Interactive Brokers TWS API to fetch stock data. By taking screenshots of stock charts and using GPT 40 Omni, the presenter receives a technical analysis of the chart in real-time, providing insights into price action, support and resistance levels, and indicators. The tutorial also covers how to encode images for analysis and save the analysis in a markdown file. The presenter speculates on the future of programming and technical analysis, suggesting that as AI capabilities like GPT 40 Omni improve, traditional roles may become obsolete.
Takeaways
- 🚀 OpenAI has released a new model called GPT-4O (Omni), which is particularly adept at understanding and generating text, audio, and images.
- 📈 GPT-4O is notably better at vision and audio compared to previous models, offering enhanced capabilities for technical analysis of stock charts.
- 💡 The speaker demonstrates integrating GPT-4O with a Python program that interacts with the Interactive Brokers TWS API to pull stock data and perform analysis.
- 📱 A desktop application has been mentioned that can analyze the user's screen in real-time, indicating future possibilities for integrated AI analysis tools.
- 📊 The Python program includes a feature to take screenshots of stock charts, which are then automatically analyzed by GPT-4O for technical insights.
- 📈 GPT-4O provides a detailed markdown description of the stock chart after each screenshot, offering insights such as price spikes, volume, support and resistance levels, and indicators.
- 🔍 The analysis by GPT-4O is superior to previous models, as noted by the speaker, who observed a significant improvement in the quality of analysis provided.
- 📱 The speaker speculates on the future of programming and technical analysis, suggesting that with advancements in AI, these skills may become less necessary.
- 📝 The Python code for integrating GPT-4O with the stock chart analysis includes functions for encoding images in base64 and sending them to the GPT-4O model for analysis.
- 📋 The analysis results from GPT-4O are saved as text and can be output to a file, allowing for automated logging of chart analysis without manual effort.
- 🔑 The use of GPT-4O's vision capabilities requires base64 encoding of images, which is demonstrated in the Python code with a specific function for this purpose.
Q & A
What is the name of the new model released by OpenAI?
-The new model released by OpenAI is called GPT-4O, where 'O' stands for Omni.
What capabilities does GPT-4O have that improve upon existing models?
-GPT-4O is especially better at vision and audio understanding compared to existing models, allowing it to input and generate text, audio, and images.
How does the Python program interact with the Interactive Brokers TWS API?
-The Python program interacts with the Interactive Brokers TWS API to pull data on stocks, display charts, and scan for the most popular stocks for the day.
What feature was added to the desktop app to enhance its functionality?
-An AI feature was added to the desktop app to perform technical analysis on stock charts by simply looking at them.
How does the technical analysis feature work in the Python code?
-The technical analysis feature works by taking a screenshot of the stock chart, saving it to a directory, and then using GPT-4O to analyze the image and provide a markdown description of the chart.
What is the process of encoding an image for analysis by GPT-4O?
-The image is base64 encoded, and this encoded image is passed as part of the message to the GPT-4O model for analysis.
How does GPT-4O analyze the charts and what kind of information does it provide?
-GPT-4O analyzes the charts by looking at the price action, support and resistance levels, and any indicators present on the chart. It provides a detailed description including significant spikes, volume, and trends.
What additional feature was demonstrated in the video regarding chart analysis?
-The video demonstrated the ability to draw trend lines on the chart and have GPT-4O interpret and analyze the chart with the drawn elements in real time.
How does GPT-4O handle more complex visualizations like a heat map?
-GPT-4O can analyze heat maps and describe the details, including individual percentage moves of different symbols, even when the details are small and numerous.
What is the potential impact of GPT-4O on the role of technical analysts?
-The advanced analysis capabilities of GPT-4O may render traditional technical analysts' roles obsolete, as it can provide detailed and sophisticated analysis without human intervention.
What future developments are anticipated with GPT-4O?
-The integration of GPT-4O into desktop applications for real-time analysis and the potential for it to watch and analyze everything on a user's computer screen are among the anticipated future developments.
How can the Python code for integrating GPT-4O with a desktop app be shared?
-The presenter mentioned that they would post the code somewhere, implying it would be made available for others to use and learn from.
Outlines
🚀 Introduction to GPT-40: Omni-capability AI Model
The video begins with the presenter discussing the recent release of a new AI model called GPT-40 by OpenAI. The 'O' in GPT-40 stands for 'Omni,' indicating its ability to process and generate outputs across text, audio, and images. The model is noted to have significant improvements in vision and audio understanding compared to previous models. The presenter shares their experience of gaining access to GPT-40 and decides to test its vision capabilities using a Python program that interfaces with the Interactive Brokers TWS API. The program is used for stock data analysis and can pull up popular stocks, as demonstrated with Taiwan Semiconductor and GME (GameStop). The presenter also mentions the integration of a screenshot feature to capture and analyze stock charts.
📈 Real-time Technical Analysis with GPT-40 Vision
The presenter dives into the process of using GPT-40 for technical analysis of stock charts. They explain how they have integrated a feature into their desktop application that allows for real-time analysis of stock charts through screenshots. After taking a screenshot of a stock chart, GPT-40 provides a comprehensive markdown description of the chart's analysis, including price action, volume, support and resistance levels, and indicators. The presenter outlines the Python code involved in this process, emphasizing the use of the GPT-40 model for image analysis and the encoding of images in Base64 format for analysis. They also touch on the potential for GPT-40 to interpret drawings on charts in real-time, as demonstrated with an example of a trend line on an AMC chart. The presenter concludes by reflecting on the implications of such advanced AI capabilities, suggesting that traditional roles like technical analysts might become obsolete as AI models like GPT-40 continue to improve.
Mindmap
Keywords
💡GPT 40 (Omni)
💡Technical Analysis
💡Interactive Brokers TWS API
💡Stock Chart
💡Screenshot Function
💡Base64 Encoding
💡OpenAI Client
💡Data URL
💡Markdown Description
💡Sector Analysis
💡Heat Map
Highlights
OpenAI has released a new model called GPT-4O, with 'O' standing for Omni, capable of processing text, audio, and images.
GPT-4O is particularly adept at vision and audio understanding, offering improved capabilities over previous models.
The model can generate outputs in audio, text, and image formats in response to input.
A Python program is used to interact with the Interactive Brokers TWS API to pull stock data.
The program can scan and display the most popular stocks for the day, such as AMC and GME.
GPT-4O's vision functionality is tested by analyzing stock charts through a screenshot feature.
Technical analysis of stock charts is provided in a markdown description after taking a screenshot.
The Python code includes a function to take a screenshot and save it to a directory.
GPT-4O is used to analyze the chart from the saved screenshot by calling the 'analyze chart' function.
The analysis includes discussion of price action, support and resistance levels, and indicators present on the chart.
The Python code utilizes the OpenAI client to create a chat completion for the analysis.
Images for analysis need to be base64 encoded to be passed to the GPT-4O model.
The analysis results are returned as a chat completion and can be printed or saved to a file.
GPT-4O can analyze and interpret drawn trend lines on stock charts in real time.
The model provides a superior quality of analysis compared to previous versions, as noted by the user.
GPT-4O can also analyze and describe complex heatmaps, such as sector analysis charts.
The user anticipates further integration of GPT-4O into desktop applications for real-time analysis.
The advancements in GPT-4O's capabilities raise questions about the future relevance of traditional technical analysts.