Fryingpannn / WallStreetBets_BigDataAnalysisLinks
Research project aimed to classify the best stock research posts from r/WallStreetBets for you. π
β180Updated 2 years ago
Alternatives and similar repositories for WallStreetBets_BigDataAnalysis
Users that are interested in WallStreetBets_BigDataAnalysis are comparing it to the libraries listed below
Sorting:
- This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.β65Updated 5 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.β313Updated 5 years ago
- Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step timβ¦β330Updated 2 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learningβ78Updated 6 years ago
- Programs for stock prediction and evaluationβ366Updated 2 weeks ago
- This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compounβ¦β280Updated 2 years ago
- A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.β92Updated 2 years ago
- do not take this seriously, please.β193Updated last year
- My computational solution to Jane Street's monthly puzzles.β334Updated 4 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assesβ¦β92Updated 5 years ago
- A program that scrapes for news from MoneyControl, helping traders take informed decision.β41Updated 7 years ago
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided β¦β136Updated 5 years ago
- Using Python and Pushshift.io to Track stocks on the WallStreetBets subredditβ97Updated 4 years ago
- Including packages that frequently used in quantitative finance field and how to implement classic financial model in Quantopian.β48Updated 7 years ago
- Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finβ¦β341Updated 2 years ago
- Stock Price Predictionβ114Updated 2 years ago
- A collection of notebooks I used in my Medium articles.β142Updated 3 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models oβ¦β96Updated last year
- Project on building a web crawler to collect the fundamentals of the stock and review their performance in one goβ78Updated 4 years ago
- Simple to use interfaces for basic technical analysis of stocks.β370Updated last year
- I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have β¦β61Updated 5 years ago
- Attempt to predict future stock prices based on Google Trends data.β117Updated 2 years ago
- A full Python pipeline that allows for the scraping, summarization and sentiment calculation for stock and crypto news.β92Updated 4 years ago
- Jane Street quant interview/testβ118Updated 8 years ago
- Implementations of Leading Algorithms in Quantitative Financeβ62Updated 8 years ago
- Backtesting an RSI Trading Algorithm with Quantopian Zipline and Pyfolio Python Librariesβ20Updated 5 years ago
- Predicting bullish or bearish sentiment of stocks (Apple, Google, Amazon) using analysis of Stocktwits tweets.β36Updated 4 years ago
- Design pattern for critical stages in the development process of an AI Stock Trading Botβ143Updated 5 years ago
- Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.β124Updated 5 years ago
- Getting Stock Pricing Data from the Polygon.io API using Pythonβ57Updated 5 years ago