Fryingpannn / WallStreetBets_BigDataAnalysisLinks
Research project aimed to classify the best stock research posts from r/WallStreetBets for you. π
β178Updated 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.β263Updated 4 years ago
- Jane Street quant interview/testβ103Updated 7 years ago
- A program that scrapes for news from MoneyControl, helping traders take informed decision.β40Updated 7 years ago
- Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methβ¦β64Updated 4 years ago
- Submission for the Optiver Challenge as part of the Hex Cambridge Hackathon in January 2021β24Updated 3 years ago
- J.P. Morgan Quant Challenge 2022 Questionsβ45Updated 2 years ago
- This repository is the result of our work for the course CSCI-SHU 360 Machine Learningβ58Updated 4 years ago
- How to create a PostgreSQL stock database using Pythonβ33Updated 4 years ago
- do not take this seriously, please.β192Updated 10 months ago
- Design pattern for critical stages in the development process of an AI Stock Trading Botβ136Updated 5 years ago
- A comprehensive learning roadmap for mastering the core disciplines necessary for successful sole algorithmic trading. This repository seβ¦β25Updated this week
- Implementations of Leading Algorithms in Quantitative Financeβ48Updated 7 years ago
- Preparation material and resources for the ML (including DL) and Quant Research interviewsβ129Updated 4 years ago
- Conjexure is a machine learning web app for forecasting the stock prices of certain companies into the future.β24Updated last year
- All Python Code for World Quant University Master degree.β28Updated 4 years ago
- Black-Scholes Pricing Model: An intuitive and sophisticated tool for accurately calculating European option prices. Leverage the mathematβ¦β45Updated 9 months ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.β311Updated 4 years ago
- Our C++ Programming Interviewβ44Updated 4 years ago
- Machine Learning Project applied to stock market portfolio optimizationβ34Updated 4 years ago
- This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.β65Updated 5 years ago
- Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prβ¦β213Updated 4 months ago
- Curating resources for learning how to tradeβ100Updated 4 months ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learningβ76Updated 5 years ago
- Stock Price Predictionβ117Updated 2 years ago
- Jupyter notebooks and data files of the new EDHEC specialization on quantitative finance (completed Aug 2022)β41Updated 2 years ago
- Notes and exercises for Machine Learning for Trading Specialization Offered by Google Cloud and New York Institute of Finance on Courseraβ38Updated 4 years ago
- A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.β90Updated last year
- Including packages that frequently used in quantitative finance field and how to implement classic financial model in Quantopian.β47Updated 6 years ago
- A C++ stock market algorithmic trading botβ255Updated 6 years ago
- Streamlit dashboard examples - Twitter cashtags, StockTwits, WSB, Charts, SQL Pattern Scannerβ190Updated 3 years ago