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The Repository for Financial Data Extraction, Data Analysis and Textual Analysis
π¬ A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Toolbox for the estimation of Bayesian Global Vector Autoregressions in R.
R code for CAViaR model
Another LaTex equation OCR tool based on ConvNeXt and Transformer
Composite Indicators Framework for Business Cycle Analysis
compindexR: An R package to create composite indicators
CoVaR estimation via quantile regression
A quantile dependent method to calculate the correlation between two series.
Cryptocurrency Market Data
A Jupyter notebook I use to analyze my crypto portfolio.
Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.
Streamlit application that leverages ChatGPT and LangChain to analyze tweet sentiment from selected Twitter authors.
Economic Indicators for Switzerland, Austria and Germany, based on Google Trends data
This repo has code to do primary data cleaning for Compustat / Crsp from WRDS
Working through some data camp courses.
This guide aims to be a full instruction on how to download and merge Refinitiv (formerly Thomson Reuters) Datastream Worldscope data into one comprehensive dataset of yearly stock quoted financial statements.
:milky_way: The R easystats-project
"EfficientPortfolioOptimizer" is a sophisticated R script applying Modern Portfolio Theory. It optimizes asset allocation to maximize Sharpe ratio, visualizes the efficient frontier, empowering investors to make informed decisions. Exercise caution, as past performance doesn't guarantee future results.
An open-source toolkit for entropic time-series analysis.
Stock selection and portfolio performance based on ESG Scores
New Fama-French Model Validation
Python package designed to construct and replicate datasets from Ken French's online library by accessing WRDS remotely through its cloud server "wrds-cloud".
Replication of the 5 Fama-French factors as constructed in their 2015 paper.
Quants use factors to target specific drivers of returns and manage risk. Diversification is great until the entire market declines in value. Thatβs because the market influences all stocks. Factors can offset some of these risks by targeting drivers of return not influenced by the market.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.