Step by step tutorial for predicting stock price using Machine Learning algos
-
Updated
Apr 7, 2024 - Jupyter Notebook
#
python-finance
Here are 14 public repositories matching this topic...
This repository deals with simple computational examples of a delta- and a delta-gamma hedge of an option on the underlying apple stock. Included are my presentation and a short handout of the covered topics.
-
Updated
Jul 1, 2022 - Python
Quantum Finance + Quantitative Finance
-
Updated
May 16, 2021 - Jupyter Notebook
Financial data visualization with Python
finance financial-data financial-analysis financial-charting-library stock-charts python-finance financial-charts
-
Updated
Feb 8, 2025 - Jupyter Notebook
Energex is a comprehensive energy derivatives analytics platform that provides data collection, analysis tools, and interactive visualizations for futures trading. Built with Python, it combines efficient data storage using DuckDB with sophisticated analysis capabilities to help traders and analysts make informed decisions.
finance energy data-visualization market-data risk-management quantitative-analysis energy-markets oil-and-gas commodity-trading python-finance futures-trading derivatives-analysis duck-db tradin-tools
-
Updated
Jan 23, 2025 - Python
python-finance
-
Updated
Jun 16, 2022 - Jupyter Notebook
Motor de backtest para estrategias de trading algoritmico utilizando python
-
Updated
Oct 1, 2022 - Jupyter Notebook
Time Series Analysis Intro
visualization seaborn decomposition trends matplotlib arima pyplot moving-average triple-exponential-smoothing single-exponential-smoothing seasonality exponentially-weighted-averages python-finance holt-winters-forecasting double-exponential-smoothing
-
Updated
Jun 8, 2022 - Jupyter Notebook
Volume based Trading Strategy with Crossover of SMA and Current Candle
python finance trading stock-market python-trading option-strategies python-finance python-for-finance quant-developer
-
Updated
Jan 23, 2025 - Python
Automated Stock Scanner analyzes historical stock data to identify lifetime highs, test support levels, and track price appreciation using Python and Yahoo Finance API. Ideal for traders seeking technical insights. 🚀
yahoo-finance-api trading-strategies technical-analysis algorithmic-trading stock-market-prediction stock-market-analysis financial-data-analysis python-finance investment-tools automated-stock-scanner lifetime-high-detection stock-support-levels price-appreciation-tracker data-driven-investing stock-trend-analysis
-
Updated
Dec 15, 2024 - Python
-
Updated
Jan 4, 2020
Study for Financial analysis & Machine Learning with Python
-
Updated
Jun 3, 2024 - Jupyter Notebook
Dynamic Financial Markets is a data-driven project analyzing stock interactions in the Indian cement sector. Using models like GARCH, Johansen Cointegration, and VAR, it explores volatility, long-term relationships, and dynamic dependencies among Shree Cement, UltraTech, and Ambuja Cement.
datascience quantitative-finance financial-analysis garch cointegration financial-markets timeseries-analysis investment-analysis python-finance var-model indian-stock-market market-dynamics stock-volatility econometics cement-sector
-
Updated
Jun 5, 2025 - Jupyter Notebook
Quant Portfolio Backtest using VIX, Sector ETF's, and CAPM Beta
data-analysis volatility capm vix regression-analysis portfolio-management python-finance quant-finance
-
Updated
Jun 7, 2025
Improve this page
Add a description, image, and links to the python-finance topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the python-finance topic, visit your repo's landing page and select "manage topics."