Fryingpannn / WallStreetBets_BigDataAnalysis
Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏
☆176Updated last year
Alternatives and similar repositories for WallStreetBets_BigDataAnalysis
Users that are interested in WallStreetBets_BigDataAnalysis are comparing it to the libraries listed below
Sorting:
- My computational solution to Jane Street's monthly puzzles.☆263Updated 4 years ago
- Preparation material and resources for the ML (including DL) and Quant Research interviews☆128Updated 4 years ago
- Jane Street quant interview/test☆102Updated 7 years ago
- This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.☆65Updated 5 years ago
- Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display meth…☆63Updated 4 years ago
- Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot pr…☆213Updated 4 months ago
- The ultimate guide to landing a job or internship in quantitative finance.☆192Updated last year
- Black-Scholes Pricing Model: An intuitive and sophisticated tool for accurately calculating European option prices. Leverage the mathemat…☆42Updated 9 months ago
- Curating resources for learning how to trade☆98Updated 3 months ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆90Updated 9 months ago
- Study resources for quantitative finance☆139Updated 3 years ago
- This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock☆29Updated 3 years ago
- J.P. Morgan Quant Challenge 2022 Questions☆44Updated 2 years ago
- A GitHub repo for Quant Finance resources☆36Updated 3 years ago
- Record of the Process of Seeking 2023 Summer Quant Internship.☆16Updated 2 years ago
- Official Python SDK for accessing Upstox API☆156Updated last week
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learning☆58Updated 4 years ago
- SheikhRabiul / A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-MarketIllegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acq…☆100Updated 6 years ago
- VaR (Value-at-Risk) Calculator: An elegant tool designed to compute Value-at-Risk using three robust methods - Parametric, Historical, an…☆8Updated 2 months ago
- A Reinforcement Learning based Stock Trader with multiple backends☆30Updated 4 years ago
- Project on building a web crawler to collect the fundamentals of the stock and review their performance in one go☆74Updated 4 years ago
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆122Updated 4 years ago
- Quant prep resources/logs☆346Updated 2 weeks ago
- All Python Code for World Quant University Master degree.☆28Updated 4 years ago
- A comprehensive learning roadmap for mastering the core disciplines necessary for successful algorithmic trading. This repository serves …☆24Updated last week
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Updated last year
- Codes for the concepts related to quantitative finance☆51Updated last week
- Machine learning models to predict realtime financial market data provided by Jane Street☆48Updated 3 years ago
- ☆66Updated last year
- 1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock.…☆64Updated last year