Research in investment finance with Python Notebooks

Demo Notebooks for Quantitative Financee Using AlgoSeek

MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the SQLite data into pandas DataFrames (see Jupyter notebook for examples)

A system for visualizing interesting stocks. Has powerful comparison capabilities and works seamlessly with your jupyter notebook. Written in QT with matplotlib.

Portfolio accounting and analysis using Emacs Org-mode and Jupyter Notebooks.

jupiter notebook

Backup site of my Colab notebooks

Python notebook for simulating algorithmic stock trading

Jupyter notebook for stock and portfolio analysis

A Jupyter Notebook that generates personalized investment portfolios aimed at beating the market, helping you optimize your financial strategy.

Using CAPM to predict stock market performance with Python in Jupyter notebooks

Stock market analysis using SK Learn and examples with Python and Jupyter Notebooks.

This repository contains Jupyter Notebooks with notes on various topics related to time series analysis.

Used Quandl API and Jupyter Notebook to create simple linear regression model to predict stock prices

This is a series of Jupyter Notebooks that wolk through the fundamentals of indepth Stock Analysis.

A Python-based analysis of NVIDIA's stock performance, focusing on price trends, volatility metrics (ATR, Bollinger Bands), and trading volume correlations.

Research Paper Work- Jupyter notebook and data for analyzing retail investor lag during the Russia–Ukraine market shock using Google Trends and stock data.

My personal project consisting of my personally created notebooks to work with time series forecasting and analysis. In these projects, I've used deep learning using tensorflow, xgboost, statsmodels and scipy libraries of python. The series were of weather, energy consumption and that of stocks.