kalyan678's Stars
OpenBB-finance/OpenBB
Investment Research for Everyone, Everywhere.
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
daytonaio/daytona
The Open Source Dev Environment Manager.
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
NirantK/awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
tensorchord/Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers
NannyML/nannyml
nannyml: post-deployment data science in python
zgana/fpp3-python-readalong
Python-centered read-along of Forecasting: Principles and Practice
chibui191/bitcoin_volatility_forecasting
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Blue-Universe/Time-Series-Analysis-Statistical-Arbitrage
This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.
ericmjl/protein-interaction-network
Computes a molecular graph for protein structures.
Bturan19/Neural-Garch-Hybrid-Model-Implementation
By combining GARCH(1,1) and LSTM model implementing predictions.
AlbertoAlmuinha/garchmodels
The Tidymodels Extension for GARCH models
andreachello/Applied-Econometric-Time-Series
A repository to explore the concepts of applied econometrics in the context of financial time-series.
csatzky/forecasting-realized-volatility-using-supervised-learning
Traditionally, volatility is modeled using parametric models. This project focuses on predicting EUR/USD volatility using more flexible, machine-learning methods.
EmanuelSommer/portvine
Portfolio level (un)conditional risk measure estimation for backtesting using Vine Copula and ARMA-GARCH models.
Nyarukotep/ARMA-GARCH-Model
A stock price prediction model based on ARMA and GARCH
zhan656/Consumer-Behavior-Analytics-1
stxupengyu/time-series-analysis
使用经典的AR、MA、ARMA、ARIMA、ARCH、GARCH时间序列模型进行模型的检验和拟合。The classic AR, MA, ARMA, ARIMA, ARCH, GARCH time series models are used to test and predict the model.
fin-algo-lake-ai/stocks-tweets-project
The project to find correlation between tweets and future stock prices
lyx66/Value-at-Risk-VaR-Based-on-Historical-Simulation-in-Conjunction-with-GARCH-Model
Python code for rolling Value at Risk(VaR) of fiancial assets and some of economic time series, based on the procedure proposed by Hull & White(1998).
vincent27hugh/Time_Series_ARIMA-GARCH
In this project, this research generally investigates the financial time series such as the price & return of NASDAQ Composite Index using ARIMA and GARCH methods.
GinIchimaru/VBA_Time_Series
Unit root tests, ARIMAX, GARCH models for the time being
sam14032000/market_linkages_mgarch-bekk
Study on volatility transmission and protuberance among developed and developing stock markets using multivariate GARCH
aakashkh/Time-Series-Analysis
Learned time series analysis from Quantstart
mahendranandi/NIFTY-Share-Market-Price-Prediction
Time series analysis on NIFTY data ( bank,oil,metal,it ) using GARCH model in R.
TheodorEmanuelsson/BitcoinGARCH
Project in Statistics: Timeseries analysis (STAH14) at Lund University. The project it about Bitcoin price and returns, modelled using an AR-GARCH model.
allisterdelrosario/FINSTAT
Applied Regression and Time Series for Financial Research
wywongbd/EPFL-Time-Series
MATH-342 Time Series course taken at EPFL during Spring 17-18.
Varsha-R/Intro-to-ML-with-Tensorflow-ND-Exercises
This repository contains exercises from Udacity's Intro to Machine Learning with Tensorflow Nanodegree.