Fryingpannn / WallStreetBets_BigDataAnalysisLinks
Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏
☆180Updated 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.☆65Updated 5 years ago
- My computational solution to Jane Street's monthly puzzles.☆347Updated 4 years ago
- This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compoun…☆280Updated 2 years ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆314Updated 5 years ago
- 1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock.…☆71Updated 2 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆96Updated last year
- Jane Street quant interview/test☆120Updated 8 years ago
- All Python Code for World Quant University Master degree.☆29Updated 4 years ago
- A collection of notebooks I used in my Medium articles.☆142Updated 3 years ago
- Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display meth…☆86Updated 5 years ago
- Implementations of Leading Algorithms in Quantitative Finance☆65Updated 8 years ago
- Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot pr…☆312Updated 11 months ago
- Including packages that frequently used in quantitative finance field and how to implement classic financial model in Quantopian.☆48Updated 7 years ago
- Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Fin…☆350Updated 3 years ago
- Tutorials for SimFin - Simple financial data for Python☆285Updated last year
- Notes and exercises for Machine Learning for Trading Specialization Offered by Google Cloud and New York Institute of Finance on Coursera☆42Updated 5 years ago
- Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the com…☆218Updated 2 years ago
- Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers t…☆103Updated 2 years ago
- Stock Price Prediction☆114Updated 2 years ago
- I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have …☆61Updated 5 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆77Updated 5 years ago
- Curating resources for learning how to trade☆122Updated 11 months ago
- Deep Neural Networks for Options Pricing (Python)☆49Updated 7 years ago
- Attempt to predict future stock prices based on Google Trends data.☆120Updated 2 years ago
- Udacity nanodegree: AI for Trading☆252Updated 2 years ago
- This includes a notebook on how to implement Quantitative Strategies, specifically the Pairs Trading Algorithm.☆191Updated 2 years ago
- Official Python SDK for accessing Upstox API☆181Updated last month
- Collection of algorithm implementations from various sources plus own creations.☆182Updated 4 years ago
- Sentiment analysis of the collected tweets is used for prediction model for finding and analysing correlation between contents of news ar…☆12Updated 4 years ago
- Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to tra…☆57Updated 4 years ago