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.

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

Artificial Intelligence Complete Course

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.

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

台灣證券 - 個股技術分析評分框架

Yahoo Finance Python Interface

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

Real-time stock price prediction app using LSTM, Streamlit, and historical data (2010–2023). Forecasts next 10 days & visualizes trends.

CSV Graph Generator

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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

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

Predict stock trends using visual time windows

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.

Dashboard to track price pressures and inflation

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

COVID19 Analysis Tool

A Interactive Visualization of Stocks Information

Simple Python Projects

pandas is a powerful Python library for data analysis and manipulation. It’s like a Swiss Army knife for handling structured data!

Colaboratory notebook that implements several strategic indicators that are commonly used in the financial ecosystem. Enter a ticker symbol for an equity (ETF, cryptocurrency, et. al.), a start date, and an end date for the analysis. Run all and let the analysis begin. Note: This is not financial advise, use at your own risk.

Private project for gathering stock market data and predictions.

PROJECT MIGRATED TO CODEBERG - Archive of Stooq Commodity Prices

This is an in-depth exploratory data analysis of Spotify's stock performance from January 1, 2018, to the present. Utilizing Python and a robust set of libraries, this project examines trends, volatility, and external influences on Spotify's stocks using data from Yahoo Finance. From trend analysis and volatility exploration to predictive modeling.

Phone-Matchup a Phone Prediction Model which uses ETL Pipeline for data extraction.

Know-Genius an AI Chatbot who's a General Knowledge Genius!

Insta-Motion is an Sentiment Analyzer that Analyses Instagram Posts Insights!

Simple CSV parser for huge volumes of data with the use of the library Pandas for Python for getting specific columns of a CSV file and putting the extracted data into one or more files (each column in a separated file or all of them in the same output) in a short amount of time.