C++ DataFrame for statistical, financial, and ML analysis in modern C++

C++ DataFrame for statistical, financial, and ML analysis in modern C++

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

Pipeline Extension for Live Trading

Pipeline Extension for Live Trading

Sample Codes for the Medium Publication "Financial Data Analysis"

Sample Codes for the Medium Publication "Financial Data Analysis"

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

A series of interactive labs we prepared for the Chartered Financial Data Scientist Certification. The content of the series is based on Python, IPython Notebook, and PyTorch.

A Benchmark Dataset for Multimodal Scientific Fact Checking

A Benchmark Dataset for Multimodal Scientific Fact Checking

The Hong Kong University of Science and Technology course "Python and Statistics for Financial Analysis" by Prof. Xuhu Wan on Coursera

The Hong Kong University of Science and Technology course "Python and Statistics for Financial Analysis" by Prof. Xuhu Wan on Coursera

Gathered, cleaned and transformed stock price, balance sheet, income and cash flow statements data for 629 companies. Built a neural network to forecast stock prices based on the companies’ fundamental data for a 1-year investment horizon

This repository contains code and videos related to financial data analysis using python.

This repository contains code and videos related to financial data analysis using python.

Script that downloads intraday (past 5 days), daily (past 5 years) and active calls/puts of publicly traded companies.

Gathered, cleaned and transformed stock price, balance sheet, income and cash flow statements data for 629 companies. Built a neural network to forecast stock prices based on the companies’ fundamental data for a 1-year investment horizon

Script that downloads intraday (past 5 days), daily (past 5 years) and active calls/puts of publicly traded companies.