Runtime Terror (kalyan678)

kalyan678

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Location:India, Hyderabad

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Runtime Terror's starred repositories

OpenBB

Investment Research for Everyone, Everywhere.

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awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

machine-learning-zoomcamp

Learn ML engineering for free in 4 months!

Language:Jupyter NotebookStargazers:9374Issues:162Issues:155

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Awesome-LLMOps

An awesome & curated list of best LLMOps tools for developers

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nannyml

nannyml: post-deployment data science in python

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fpp3-python-readalong

Python-centered read-along of Forecasting: Principles and Practice

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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

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Time-Series-Analysis-Statistical-Arbitrage

This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.

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protein-interaction-network

Computes a molecular graph for protein structures.

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Neural-Garch-Hybrid-Model-Implementation

By combining GARCH(1,1) and LSTM model implementing predictions.

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garchmodels

The Tidymodels Extension for GARCH models

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Applied-Econometric-Time-Series

A repository to explore the concepts of applied econometrics in the context of financial time-series.

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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.

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portvine

Portfolio level (un)conditional risk measure estimation for backtesting using Vine Copula and ARMA-GARCH models.

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ARMA-GARCH-Model

A stock price prediction model based on ARMA and GARCH

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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.

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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).

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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.

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stocks-tweets-project

The project to find correlation between tweets and future stock prices

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VBA_Time_Series

Unit root tests, ARIMAX, GARCH models for the time being

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market_linkages_mgarch-bekk

Study on volatility transmission and protuberance among developed and developing stock markets using multivariate GARCH

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Time-Series-Analysis

Learned time series analysis from Quantstart

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NIFTY-Share-Market-Price-Prediction

Time series analysis on NIFTY data ( bank,oil,metal,it ) using GARCH model in R.

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BitcoinGARCH

Project in Statistics: Timeseries analysis (STAH14) at Lund University. The project it about Bitcoin price and returns, modelled using an AR-GARCH model.

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FINSTAT

Applied Regression and Time Series for Financial Research

EPFL-Time-Series

MATH-342 Time Series course taken at EPFL during Spring 17-18.

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Intro-to-ML-with-Tensorflow-ND-Exercises

This repository contains exercises from Udacity's Intro to Machine Learning with Tensorflow Nanodegree.

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