financial-data-analysis

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.

Pipeline Extension for Live Trading

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 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

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.

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

Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data. Then used Yahoo Finance to get the related stock data and displayed them in the form of charts.

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.

Utility routines for financial data analysis

The `gofin` package includes functions for calculating compound interest, present value, future value, net present value, internal rate of return, and many other financial calculations. These functions are implemented using industry-standard formulas and algorithms, ensuring accurate and reliable results.

Welcome to Stock Contender – an AI-powered tool designed to assist your market analysis. This tool is not an investment advisor and does not guarantee profits. Invest at your own risk. Stay updated with my latest developments.

gekko-m4-globular-cluster feature-rich [M4 NGC 6121]

Data Visualization with R and Python

CUSUM (Cumulative Sum) filter for detecting structural shifts in financial time series, implemented in Python

Go client for http://www.tsetmc.com/

This repository contains Python code for forecasting stock prices using various time series models. The project utilizes historical stock price data to demonstrate different predictive modeling techniques including Moving Average, ARIMA, and SARIMA.