Reddit Sentiment Index: Stock Price Movement Prediction with Valence Aware Dictionary Sentiment Reasoner

• Final Year Project - BSc Computer Science @ City University of Hong Kong, 2022
• Liaison with Industry:
  • Finance / Fintech Industry
• End Users:
  • Users who are interested in Trading. Traders with high risk tolerance

Data Collection, Data Pre-Processing, Exploratory Data Analysis, Sentiment Analysis, Topic Modeling Procedures

• https://github.com/Icasso/DataSpell-EAP-Projects

Getting Started

There are two ways to run this web application

1. You can navigate to https://share.streamlit.io/icasso/streamlit-fyp/main.py , perferred on Chrome browser
2. You can clone this Project and run with Streamlit Python

• For Streamlit FAQ - Streamlit

2.1 Install required libaries

pip install -r requirements.txt

2.2 Run it

streamlit run main.py

Skill Sets but not limited to:

• Language: Python 3.10, Python 3.9
• Front-End: Streamlit (Python)
• Back-End: Streamlit (Python)
• Database: PostgreSQL

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Python Libraries included but not limited to

• streamlit
• numpy
• pandas
• plotly
• matplotlib
• psycopg2

Libraries included but not limited to (Juypter Notebook Related)

• pmaw
• sqlalchemy
• sklearn
• nltk
• textblob
• wordcloud

Cloud Technologies

• Microsoft Azure : Azure Database for PostgreSQL flexible server
• Streamlit Cloud

MISC / API

Stock Data / Time Series / End of Date / Real Time Data

• Twelve Data API
• Yahoo Finance

Citation & Worth Mentions

Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.

Research Source

https://ojs.aaai.org/index.php/ICWSM/article/view/14550