doguma/TweetsAndDailyStocks
Daily Stock Price Movement Prediction based on Off-market Twitter Data on Daily Basis (Tweepy, Snscrape, NLP, Vader Sentiment Analysis, ML models / Top Tech Companies)
This tool helps financial analysts or traders predict daily stock price movements by analyzing public sentiment from Twitter. It takes daily stock data and relevant tweets about specific companies as input, then processes them to provide predictions on whether a stock's price will go up or down. Anyone involved in daily stock trading or market analysis for tech companies would find this useful.
No commits in the last 6 months.
Use this if you want to incorporate social media sentiment into your daily stock market prediction strategy, particularly for major technology companies.
Not ideal if you need to predict stock movements for a wide range of companies beyond major tech firms or require real-time, intra-day trading signals.
Stars
8
Forks
6
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 08, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/doguma/TweetsAndDailyStocks"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Shubxam/Nifty-500-Live-Sentiment-Analysis
Live Sentiment Analysis dashboard of NIFTY 500 universe of stocks using plotly and streamlit
lefterisloukas/edgar-crawler
The only open-source toolkit that can download SEC EDGAR financial reports and extract textual...
yya518/FinBERT
A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
shirosaidev/stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python...
louisowen6/SENN
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction...