Jack Turner Research Notebook

[jackturner83]

This is where I will be documenting my Senior Project.

[jackturner83]

Project Overview - 9/15/23

This project combines sentiment analysis of financial news headlines with historical stock price prediction to develop a trading strategy that leverages news sentiment for more informed stock trading decisions.

Tasks Completed

• Determined what project I want to focus on
• Looked for libraries I could utilize

TODO

• Data Collection
• Sentiment Analysis
• Feature Engineering (combine sentiment scores with stock features)
• Historical Stock Price Prediction Model
• Model Integration
• Evaluation

[jackturner83]

9-21-2023

Completed

• Added historical model and sentiment analysis into project repository.
• Found a library to make getting historical data easier (yfinance).

TODO

• Continue to research ways to combine both sentiment analysis and historical models.
• Evaluate performance of model/sentiment analysis.

[jackturner83]

9-29-2023

Completed

• Implemented a functioning historical stock prediction model that displays data on a graph
• Removed GUI from my sentiment analysis program

TODO

• Store historical data in a CSV every time I run the program
• Store sentiment analysis data in a CSV every time I run the program

[jackturner83]

Alumni Social 9-29-2023

During the Alumni Social, I met a few different alums while also engaging in conversation with my peers. I learned about many different senior projects from my peers that I hadn't known about previously. For instance, I talked with David regarding his stock trading bot idea which is something very similar to what I am attempting with my project. I also got to meet and talk with President Ron Cole, which was very informative to hear about his plans for the internet.

[jackturner83]

10-6-2023

Completed

• Implemented historical stock prediction model using linear regression algorithm
• Implemented sentiment analysis using nltk

TODO

• Determine a way to combine both sentiment analysis and my historical prediction model
• Utilize ChatGPT API to make predictions based on the data I gathered

[jackturner83]

10-13-2023

Completed

• Added description and Readme section to my repository

TODO

• Start creating my pitch presentation
• Add GitHub actions to my project repository

[jackturner83]

10-20-2023

• Started work on slides and video

TODO

• Finish slides and video to submit on October 22nd.

[jackturner83]

11/15/2023

• Starting to look at possible ways to combine sentiment analysis and historical predictions

TODO

• Read the ChatGPT API to get a better understanding on how to use it with my project.
• Research better ways to store data for both my sentiment analysis and historical prediction model.

[jackturner83]

12/1/2023

Completed

• created a diagram explaining my project

TODO

• Look into better algorithms for both my historical prediction model and my sentiment analysis
• Determine a way to combine these parts of my project
• Look into chatgpt api

[jackturner83]

01/19/2024

TODO

• Revise both chapter 1 and 2
• Start developing an integration module

[jackturner83]

01/26/2024

TODO

• Start drafting Chapter 3
• Continue determining best way to combine my data
• Start integration of Chatgpt api

[jackturner83]

02/01/2024

Completed

• Selected time range of one year
• Tweaking Chatgpt api and training it in relation to my dataset

TODO

• Decide how often I want to update my model with new data
• Select 5-10 ticker symbols for starting data collection
• Work on cleaning/integrating my data

[jackturner83]

02/08/2024

Completed

• Successfully uploaded data to chatgpt api and got output data
• Completed sufficient readme as of now
• Completed a linear regression model on the sentiment data/historical data I gathered

TODO

• determine a way to get better/more in-depth output from chatgpt
• add more ticker symbols, only one at the moment(AAPL)

[jackturner83]

02/16/2024

Completed

• New Issue posted: issue
• Got decent prediction data from chatgpt

TODO

• Figure out a better way to gather sentiment data
• test differeny ways to prompt chatgpt

[jackturner83]

02/22/2024

Completed

• Gathered predictions from the past month
• Performed an MSE on predictions: Folder with predictions/MSE data

TODO

• Refine my prompts to get the exact data requested from ChatGPT
• Find a way to limit requests from Newsapi.org
• Determine what I want my final product to be

[jackturner83]

3/14/2022

Completed

• Completed Chapter 3
• Gathered data on 5 ticker symbols

TODO

• Begin writing on Chapter 4
• Create graphs based on data gathered

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