Wsb sentiment analysis (WSB) stock price, news, financials, community insights, and trading ideas. Using advanced AI, it analyzes the tone of conversations to determine whether sentiment is bullish, bearish, or neutral. reddit-sentiment-analysis This program goes through reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value. Contribute to pmmebeer/WSBMoneyMaker development by creating an account on GitHub. So I don't think many tickers there are good for monthly rebalancing. 5-Mistral-7b model. Monitor r/wallstreetbets mentions, sentiment scores, and social trading insights. Overall, this project focuses on getting tickers that are most mentioned and speculated in the subreddit, the stocks' sentiments will complement the results. r/WallStreetBets sentiment analysis I scraped countless thousands of Reddit posts from the "short squeeze" of January 2021, performed sentiment analysis with a custom-made classifier, and concluded that there is no Granger-causality between WSB market sentiment and stock prices. Sep 24, 2024 · The WallStreetBets (WSB) community on Reddit gained prominence for its role in the GameStop saga and the resulting meme stock phenomenon. Contribute to kai-cansler/wsb_sentiment_analysis_stock_prediction development by creating an account on GitHub. For example microvision, sundial, tilray, aphria just peaked for a few days and then fell back down. I will look to implement a deep learning based approach to learn sentiment from reddit posts (data set available on Kaggle) Feb 26, 2025 · High-frequency traders stalk WSB’s chatter like hawks—Bloomberg’s 2024 scoop pegged HFTs netting $2 billion fading WSB moves, with 85% accuracy on sentiment extremes above 0. I added sentiment analysis to the findings so as to check the general sentiment (whether what is being talked about in the stock is positive or negative). WallStreetBets is a community on Reddit where participants discuss stock and option trading. First the model was trained to take user text posts and return a synopsis on the cleaned text. The bot can either follow WSB sentiment or trade against it. Concurrently, this has boosted the popularity of finance-related communities on Reddit, with the top five totaling . WSB - Highest Sentiment Equities This Week (what’s in my portfolio). We find that WSB attention trade are associated with higher stock volatility and larger portfolio weights, and negative profits. This suggests that shifts in stock prices are precursors to changes in sentiment within the WSB community, degrading the predictive power provided by the sentiment data. Nov 1, 2024 · Using WSB to proxy social media attention, we are able to add a new attention dimension to this literature. - Issues · jeffzma2000/wsb-sentiment-analysis Nov 1, 2024 · Using WSB to proxy social media attention, we are able to add a new attention dimension to this literature. I feel sentiment analysis and market momentum are going to be leading indicators for algorithms as markets become more democratized, distributed, and accessible. This repository serves as the front facing web application to access our COMP-4990 Project; Sentiment Analysis on r/WallStreetBets posts. Contribute to ArizonaTay/WSB-Sentimental-Analysis development by creating an account on GitHub. I matched this up with stock/option movements to try to infer future movements Real-time WSB sentiment analysis Diamond hands tracker Meme stock performance YOLO movement alerts Community-driven insights Sign Up to AccessLearn More Using a dataset provided by ASU's Unit for Data Science (01/2021-02/2021), this program analyzes the sentiment of a certain inputted stock on r/WallStreetBets (textblob), computes the average daily sentiment, and plots (matplotlib) it against the stock's actual price (yfinance). What is sentiment: It's calculated using natural language processing with a modified version of vadersentiment. Wall Street Bets Sentiment Analysis This was the final project for U Waterloo's Machine Learning Course. Created by Jacob Bondy, Luke Mullins, and Hunter Mailloux - Sentiment Analysis of Stocks on WSB Here, various sentiment analysis schemes are tested on various stocks found on WSB. We compile a time-varying, monthly list of meme stocks by conducting textual analysis of postings on the r/WallStreetBets forum on Reddit. A fun experiment :P Contribute to yimeng-blake/wsb-sentiment-analysis development by creating an account on GitHub. Comments from the sub-reddit stream in real-time and the sentiment meters continuously update. Creating WSB Sentiment Analysis. Aside from FinGPT, we also fine-tune a transformer-encoder based classifier on our annotated dataset and an-alyze daily posts/comments to derive sentiment indices for specific stocks. This analysis included things like the stock mentioned, money gained/lost, new/reasoning for results, and finally general sentiment. Created a website to assist small retail investors in making informed investment decisions. Offers real-time price data, news, options contracts, price predictions, and predictive fundamentals sourced from analysts. In the future I'd like to compare and contrast the results of the sentiment of certain stocks versus how they How does the sentiment on WallStreeBets on meme stocks reflect their prices? Lets find out! - kenzeng24/wsb-analysis Contribute to ziwang0411/WSB-memestock-sentiment-analysis development by creating an account on GitHub. Contribute to yimeng-blake/wsb-sentiment-analysis development by creating an account on GitHub. Performing sentiment analysis on countless retail trader thoughts to boost your trading strategy. This uses the pre trained vader data set to test sentiment. \\n\","," \"The Vader Lexicon is a great resource for social media analysis, but may or may not serve well with the language used in WSB comments. Contribute to SirMalFet/WSB-SentimentAnalysis development by creating an account on GitHub. 85, per a 2025 Cornell analysis of 15 tickers. WSB analytics displays visualizes sentiment analysis data gathered by a fine-tuned OpenHermes-2. 85 or below -0. Understanding sentiment on platforms like WSB could be crucial for predicting market trends, especially in the context of meme stocks and the influence of online communities on financial markets. The dashboard in addition features real-time stock prices and graphs alongside this sentiment analysis. This particular subreddit proves difficult for existing sentiment analysis models because of the rather unique language used in the subreddit. Scraping r/wallstreetbets and conducting sentiment analysis to predict options price movements. Real-time WallStreetBets sentiment tracker measures sentiment on the popular stocks forum. Estimated Total Comments Parsed Last 7 Day (s): 501,150 It scrapes from r/wallstreetbets so you can filter by time range and determine trending options and stocks as well as look at sentiment for your current investments. Join 10 million+ investors and traders tracking markets in real-time on Stocktwits. The Real-time WallStreetBets sentiment tracker measures the sentiment in the reddit forum. Our findings reveal that Google search sentiment significantly predicts Sentiment analysis is the quantifying of how positive, negative, or neutral a given text is. Analyze post titles, contents and comments from popular stock betting / investing subreddits and compare to real market trends - juancprolam/wsb_sentiment_analysis Since Reddit is IPOing soon. - Issues · jeffzma2000/wsb-sentiment-analysis Contribute to a-kore/wsb-sentiment-analysis development by creating an account on GitHub. Our goal was to determine if we could predict price movement using sentiment analysis on posts from the WSB community on Reddit. Utilizing Python and Reddit PRAW API to scrape r/wallstreetbets over a 24h period, and perform sentiment analysis. Contribute to The-Dizz/WSB-Sentiment-Analysis development by creating an account on GitHub. Created by Jacob Bondy, Luke Mullins, and Hunter Mailloux Contribute to SchneiderJM/WSB_Sentiment_Analysis development by creating an account on GitHub. J. I used this data to perform sentiment analysis on each submission to get an average sentiment for a stock at various timeframes. Contribute to mdominguez2010/wsb-sentiment-analysis development by creating an account on GitHub. Stock Trends and AnalyticsWallStreetBets Stocks List Ranked list of the most mentioned stocks on WSB, with social sentiment and options activity. . On top of vader sentiment, the analysis uses a self-defined metric to derive the sentiment score on each ticker mentioned. I've recently been applying this kind of analysis to various financial subreddits as a source of alternative data in an effort to create a trading algorithm. They also track WSB market sentiment relative to market (SPY) and have a WallStreetBets Index to monitor intraday price action of popular stocks that are discussed WSB Sentiment Analysis - Analyze r/WSB for sentiment relating to GME. The program removes words \\n\","," \"The Vader Lexicon is a great resource for social media analysis, but may or may not serve well with the language used in WSB comments. My recommendation is to analyze posts for these sentiments to make informed decisions on what retail investors are doing. Contribute to ziwang0411/WSB-memestock-sentiment-analysis development by creating an account on GitHub. We infer that meme attention promotes speculative behavior that results in negative profits for meme investors. We are creating a program that will do sentiment analysis on the data from r/WallStreetBets. Analyze post titles, contents and comments from popular stock betting / investing subreddits and compare to real market trends - juancprolam/wsb_sentiment_analysis Contribute to ablimdev/wsb-sentiment-analysis development by creating an account on GitHub. WSB Sentiment Analysis - Analyze r/WSB for sentiment relating to GME. Using a nascent dataset collected using the Reddit API, we got a couple hundred posts from r/wallstreetbets. Explore and run machine learning code with Kaggle Notebooks | Using data from Reddit WallStreetBets Posts Apewisdom tracks the most popular stock and crypto sub reddits such as wallstreetbets and tracks how many times certain stock tickers are used Sentiment Analysis over WSB. - th3ssalus/Capstone_Project_WallStreetBets_Sentiment_Analysis Supported by a robust AI model fine-tuned on private curated data. Dec 12, 2024 · This ongoing debate about WSB's role in the market underscores the evolving relationship between individual investors, social media, and financial regulation. You would need a Sentiment Analysis Group - WSB Content Analysis A comprehensive sentiment analysis system designed specifically for analyzing content from r/wallstreetbets and similar financial communities. ApeWisdom is not only a WSB tracker, it tracks many different discussion boards including: Using Python pandas, scikit-learn, and matplotlib to predict the relationship between r/Wallstreetbets sentiment and stock prices using regression-based Machine Learning techniques - stevenzhang070 Contribute to yimeng-blake/wsb-sentiment-analysis development by creating an account on GitHub. It was basically a compilation of all stocks mentioned here , with buy/sell… Contribute to kai-cansler/wsb_sentiment_analysis_stock_prediction development by creating an account on GitHub. It contains a list of positive words commonly used on tickers that the author has high conviction on e. I choose Wall Street Bets because of it's impact on the financial sector over COVID. sentiment analysis with data from r/wallstreetbets - wsb-sentiment. Nov 5, 2024 · In this paper, we explore the return predictability of meme stocks. Simple, yet powerful tools & analytics to help you understand stock market sentiment. A paper trading bot that analyzes Reddit's r/wallstreetbets sentiment to trade options. A daily sentiment score and the top trending stocks are updated once The program removes words that are blacklisted such as 'APE', 'USA', 'CEO' and matches the remaining words to tickers found on US exchanges. Using Sentiment Analysis to identify Patterns in GME Stock from r/WallStreetBets subreddit Using Python pandas, scikit-learn, and matplotlib to predict the relationship between r/Wallstreetbets sentiment and stock prices using regression-based Machine Learning techniques. Apr 10, 2024 · The sentiment analysis indicates a moderate correlation between WSB sentiment data and stock price movements, with a lagging effect observed. Python script that uses textblob to analyze relative sentiment of a given stock in r/WallStreetBets and plot it against its price - shahnawazsyed/WSB-Stock-Sentiment {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"data","path":"data","contentType":"directory"},{"name":"model","path":"model","contentType Contribute to MichaelWalker1111/WSB_Sentiment_Analysis_Data_Miner development by creating an account on GitHub. WSB-Sentiment-Analysis This is a simple side project I did. A final analysis of the average sentiment expressed within the forum indicates that a Granger-causal relationship exists between changes in average sentiment expressed about an asset at future asset returns in several popular assets on WSB. 095. Sentiment-Analysis-WSB The supervised 2 semester long project for COMP-4990. The sentiment is derived utilizing two financial dictionary analysis, VADER, a sentiment analysis tool designed specifically for social media, as well as our own constructed dictionary EMOJI, which is created to better analyze the emotions expressed on WSB. Explore and run machine learning code with Kaggle Notebooks | Using data from Reddit WallStreetBets Posts Apewisdom tracks the most popular stock and crypto sub reddits such as wallstreetbets and tracks how many times certain stock tickers are used The program removes words that are blacklisted such as 'APE', 'USA', 'CEO' and matches the remaining words to tickers found on US exchanges. What is ApeWisdom? Apewisdom is a stock sentiment tracker that tracks the most popular stock and crypto boards on Reddit and 4Chan. (2014). Finding if a strong correlation exists between sentiment and market movement is the first step. ApeWisdom is not only a WSB tracker, it tracks many different discussion boards including: WallStreetBets (WSB) r/stocks r/investing 4chan /biz and many more 52 votes, 15 comments. E. Sentiment-Analysis-WSB Final group project for ENSF612 (Big Data). Mar 13, 2025 · Through high-risk trading strategies, meme stocks, and social sentiment, WSB has demonstrated the power of collective investing. In the future I'd like to compare and contrast the results of the sentiment of certain stocks versus how they Analyze post titles, contents and comments from popular stock betting / investing subreddits and compare to real market trends - juancprolam/wsb_sentiment_analysis Since Reddit is IPOing soon. Hutto, C. Jun 9, 2021 · Wallstreetbets Sentiment Analysis on Stock Prices using Natural Language Processing The following is the first part in an ongoing project to analyze sentiment on the famous (or infamous Jul 26, 2025 · WallStreetBets Sentiment Analysis Pipeline A fully automated system for real-time extraction, NER analysis, and sentiment evaluation of Reddit data from r/wallstreetbets with an interactive dashboard. While some view its influence as market manipulation, others see it as a revolution in trading. To assess the impact of WSB’s sentiment on the stock market, we conduct some stock prediction analysis as well. This Shiny app provides an analysis of stock sentiments based on Reddit discussions in the infamous r/wallstreetbets subreddit. We also track WSB market sentiment relative to market (SPY) and have a WallStreetBets Index to monitor intraday price action of popular stocks that are frequently talked about. Yet despite the risky approach, the page managed to surge in popularity in 2021, when its members succeeded in moving the market. simply choosing some top N tickers each month) and compare that to the added benefit of sentiment. trueHow does the sentiment analysis account for rocket and diamond hands emojis? I followed some of the stock recommendations on WSB and found there is a lot of pump and dump going on. I wrote a Scraper that returns the most mentioned stocks on WSB plus 15 randomly selected comments (because I wasn't convinced that a sentiment tracker will ever be able to understand the insanity of WSB) and it seemed that many of em are phrased this way. Wallstreetbets is an internet forum on reddit known for its cynical nihilist humour and also for encouraging high risk investments. Nov 13, 2024 · Social media sentiment and stock market volatility This article review critically examines Boris Andreev, Georgios Sermpinis, and Charalampos Stasinakis’s research on social media sentiment, specifically from Reddit’s r/WallStreetBets (WSB), as a predictor of stock market volatility. WSB, in a move against conventional investing advice, caused the stock of a dying franchise Gamestop to surge to 1700% of its price I remember seeing a post with few weeks ago, with WSB sentiment analysis. g. Although this "bag of words" sentiment analysis isn't always correct, I've found due to the simplicity of most comments there is approximately 70% success rate on the scans, so it's fairly accurate. Analyze post titles, contents and comments from popular stock betting / investing subreddits and compare to real market trends - juancprolam/wsb_sentiment_analysis Stock Sentiment Analysis on r/Wallstreetbets. Track WallStreetBets (WSB) stock discussions, sentiment analysis, and trending stocks from Reddit. The baseline I'd be interested in would be comparing a naive approach (eg. Get real-time WSB Holdings, Inc. Additionally, features a comprehensive database of over 4000 Wall Street analysts, each with individual stats and star ratings to distinguish between reliable and unreliable sources. Within WSB posts we learned about the sentiment of popular online words such as Moon, Hold, and Rocket. Similar logic can be applied to predict trends in the stock market from WSB and others. Eighth International Conference on Weblogs and Social Media (ICWSM-14). moon, yolo, squeeze while This is a sentiment analysis project of the WallStreetBets (WSB) subreddit as part of my Digital Futures coursework portfolio. Online Chatter and Ticker Sentiment Check out tickers that are trending and why. May 4, 2021 · How did GameStop Shape WallStreetBets? Using Sentiment Analysis, Linear Regression, and LDA to understand the impact of GameStop on WallStreetBets Background WallStreetBets (WSB) is a subreddit where … This is a sentiment analysis of WallStreetBets leading up to the rise of Gamestop stock. Can someone please tell me what the fuck is going on with the market? I get that, but that has created some uncertainty about interest rate cuts but what the fuck? Contribute to srgelinas/wsb_sentiment_analysis development by creating an account on GitHub. Analyze post titles, contents and comments from popular stock betting / investing subreddits and compare to real market trends - Pull requests · juancprolam/wsb Explore and run machine learning code with Kaggle Notebooks | Using data from Reddit WallStreetBets Posts Contribute to a-kore/wsb-sentiment-analysis development by creating an account on GitHub. wsb-sentiment-analysis A streamlit application that queries reddit comments, uses a pre-trained roBERTa-base model to perform real-time sentiment analysis and displays summary statistics to the user. I got the idea to do some sort of analysis of one of their subreddits. Street Sent scans Reddit’s WallStreetBets (WSB) subreddit in real-time to detect the most mentioned stocks. Contribute to srgelinas/wsb_sentiment_analysis development by creating an account on GitHub. Relate this finding to the GME market historical data. In many cases, the popular stocks on WSB only become popular after they pop. VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Contribute to Fobertree/WSB-Sentiment-Analysis development by creating an account on GitHub. Apewisdom is a stock sentiment tracker that tracks the most popular stock and crypto boards on Reddit and 4Chan. This analysis explores how retail-driven dynamics are redefining market patterns, drawing on empirical data and behavioral insights from 2023 to 2025. ipynb Oct 13, 2025 · By leveraging social media sentiment and collective action, WSB has amplified volatility in small-cap stocks, creating a unique interplay of behavioral finance and short-term momentum. Mar 13, 2021 · On February 2, WSB users’ negative sentiment score has hit its peak in two weeks with a score of 0. WebAug 10, 2020 · What is sentiment analysis? Sentiment analysis is a subset of natural language processing (NLP) capabilities that provides … Building on the study's focus on r/WallStreetBets, future research could explore the integration of sentiment analysis models into financial analytics. By parsing discussion on this forum, we can track which companies retail investors are mentioning the most, and the sentiment of the discussion around each ticker. I scraped posts and comments with stock ticker information from r/wallstreetbets. Contribute to ablimdev/wsb-sentiment-analysis development by creating an account on GitHub. WSB sentiment analysis. The objective of this analysis is to see whether there was any change in attitude on the platform that could WSB-Sentiment-Analysis This is a simple side project I did. Created by Jacob Bondy, Luke Mullins, and Hunter Mailloux Contribute to srgelinas/wsb_sentiment_analysis development by creating an account on GitHub. The WSB stocks are a very special subset of tickers. The dataset is designed to constantly expand. Are retail traders bullish or bearish? Find out if traders are looking to ride the momentum or expect a reversal in the trend. Analyze post titles, contents and comments from popular stock betting / investing subreddits and compare to real market trends - juancprolam/wsb_sentiment_analysis Contribute to yimeng-blake/wsb-sentiment-analysis development by creating an account on GitHub. This stuff is better suited for finance communities so I can delete it if it's unnecessary so that more attention and commentary can be centered on the VADER analysis aspect. Analysis done using Python with ApacheSpark and ScikitLearn. This project addresses the unique challenges of financial social media content including sarcasm, slang, and ticker symbol identification. & Gilbert, E. Structured with a summary, analysis, and evaluation, this article review example highlights the authors r/wallstreetbets: Like 4chan found a Bloomberg Terminal. The long-term impact of WSB remains a subject of intense discussion and analysis, with the potential to reshape the financial terrain in profound ways. We construct three meme stock sentiment indices based on Google search volume, Bloomberg Twitter and News sentiment. Contribute to YvesDesjardins/Sentimental development by creating an account on GitHub. I will look to implement a deep learning based approach to learn sentiment from reddit posts (data set available on Kaggle) Jun 30, 2022 · In the same manner, once the WSB sentiment begins falling behind the general market sentiment, the same stocks might begin to experience issues on the trading floor. Using Python pandas, scikit-learn, and matplotlib to predict the relationship between r/Wallstreetbets sentiment and stock prices using regression-based Machine Learning techniques - stevenzhang070 Contribute to Faduzzle/Undergrad-Research-and-Projects development by creating an account on GitHub. ihn ararq ofbsnv rzlpeq mhtgyt xrcqfuz dpgtqqua tvvg zwb dfg axs gbx nchzueq zifh pdqyub