Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

Jupyter Notebooks and Data Sets for Pandas Library

Simple python/streamlit web app for European option pricing using Black-Scholes model, Monte Carlo simulation and Binomial model. Spot prices for the underlying are fetched from Yahoo Finance API.

Artificial Intelligence Complete Course

台灣證券 - 個股技術分析評分框架

Python code for pricing European and American options with examples for individual stock, index, and FX options denominated in USD and Euro. Jupyter notebooks for pricing options using free publicly available datasets.

Yahoo Finance Python Interface

An ETL Orchestration using Apache Airflow to extract CSV files from a Google Drive, validate, transform, and load into a PostgreSQL database.

CSV Graph Generator

Extract data directly from online sources such as Yahoo Finance using Pandas DataReader. Also the plotted graph is then embedded into a Flask web app

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Predict stock trends using visual time windows

A Python program that allows users to predict the stock market based on many data factors

📈 3 charts: Created with Python and displayed with Google Charts JavaScript library.

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Yahoo Finance.

S&P 500 stocks data scrape from yahoo finance then calculate and analysis the Beta value against S&P daily % change. The 10% highest beta will queued for buy and lowest 10% going for sell using a conditional checking of Black Swan identification. Finally plot the resultant graph from Portfolio table.

COVID19 Analysis Tool

Web app designed to compare stocks from Brazilian stock exchange (B3).

Dashboard to track price pressures and inflation

Simple Python Projects