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#

pandas-datareader

Here are 62 public repositories matching this topic...

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.

  • UpdatedJan 17, 2025
  • Python

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.

  • UpdatedDec 9, 2022
  • Jupyter Notebook

Artificial Intelligence Complete Course

  • UpdatedNov 9, 2019
  • Jupyter Notebook

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.

  • UpdatedOct 5, 2025
  • Jupyter Notebook

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

  • UpdatedJun 30, 2024
  • Python

台灣證券 - 個股技術分析評分框架

  • UpdatedJul 20, 2022
  • Python

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

  • UpdatedMay 15, 2024
  • Python

🏆쏠# : [신한은행 기업 연계 프로젝트] 통합형 금융 플랫폼 앱 서비스 - 🥈SSAFY 7기 자율프로젝트 우수상 2등(2022.11.28)

  • UpdatedNov 30, 2022
  • Kotlin

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

  • UpdatedDec 7, 2022
  • Python

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

  • UpdatedJan 25, 2021
  • JavaScript

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

  • UpdatedSep 6, 2019
  • Python

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

  • UpdatedOct 7, 2025
  • Python

To build, train and test LSTM model to forecast next day 'Close' price and to create diverse stock portfolios using k-means clustering to detect patterns in stocks that move similarly with an underlying trend i.e., for a given period, how stocks trend together.To deploy our findings to an app along with an interactive dashboard to predict the ne…

  • UpdatedNov 17, 2021
  • Jupyter Notebook

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.

  • UpdatedMar 31, 2019
  • Python

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

  • UpdatedJan 2, 2023
  • Python

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