vedant-2001
Undergraduate Student at BITS Pilani | Quantitative Finance Enthusiast
@Quant-Wing-BITS-Goa Mumbai,India
Pinned Repositories
Digital-Signal-Processing-In-Trading
Using Discrete Fourier transform to transform and eliminate noise in asset price time series and identify repeating patterns to exploit and backtest.
Equity-Intraday-Strategy
F_score_stats
machine-learning
notebooks with example for machine learning examples
Pair-Trading-for-NIFTY-50
PEAD
Post Earnings Announcement Drift (PEAD) trading in Python
Predict-Any-Cryptocurrency-Applying-NLP-using-Global-News
In this , I have searched for useful information on news and transform it to a numerical format using NLP to train a Machine Learning model which will predict the rise or fall of any given Cryptocurrency (using Python).
Predicting-Stock-Prices-Using-Facebook-s-Prophet-Model
QuaLib
The one single library for all the quants out there.
quant-jobs
The ultimate guide to landing a job or internship in quantitative finance.
vedant-2001's Repositories
vedant-2001/Digital-Signal-Processing-In-Trading
Using Discrete Fourier transform to transform and eliminate noise in asset price time series and identify repeating patterns to exploit and backtest.
vedant-2001/Equity-Intraday-Strategy
vedant-2001/F_score_stats
vedant-2001/machine-learning
notebooks with example for machine learning examples
vedant-2001/Pair-Trading-for-NIFTY-50
vedant-2001/PEAD
Post Earnings Announcement Drift (PEAD) trading in Python
vedant-2001/Predict-Any-Cryptocurrency-Applying-NLP-using-Global-News
In this , I have searched for useful information on news and transform it to a numerical format using NLP to train a Machine Learning model which will predict the rise or fall of any given Cryptocurrency (using Python).
vedant-2001/Predicting-Stock-Prices-Using-Facebook-s-Prophet-Model
vedant-2001/QuaLib
The one single library for all the quants out there.
vedant-2001/quant-jobs
The ultimate guide to landing a job or internship in quantitative finance.
vedant-2001/quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
vedant-2001/Quant-Wing-2020
vedant-2001/Stock-Market-Prediction
Lusip - 10 , Team_1
vedant-2001/Stock-price-prediction-using-GAN
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
vedant-2001/Stock-Price-Predictor
vedant-2001/Stocks-Price-Prediction-using-Multivariate-Analysis
vedant-2001/WSC-Quant-Division