Analyze historical market data using Jupyter Notebooks
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Updated
Jul 3, 2025 - Jupyter Notebook
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Analyze historical market data using Jupyter Notebooks
Three-notebook tutorial on the FFT and seasonality: build the transform by hand, prove it on the Keeling curve, then turn hourly demand into a staffing baseline, an anomaly alarm, and a capacity plan.
This repository contains introductory notebooks for forecasting
Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore various quantitative forecasting methods.This notebook documents contains the methods that can be applied to forecast gold price and model deployment using streamlit, along with a detailed explaination of the diff…
In this project I created a notebook that contains data preparation, analysis, and visualizations for all the time series data that a mock company would need to understand including: Visual depictions of seasonality (as measured by Google Search traffic) that are of interest to the company. An evaluation of how the company stock price correlates…
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