Accurate 30-Day Price Forecasting with Trend Decomposition

Accurate 30-Day Price Forecasting with Trend DecompositionAccurate 30-Day Price Forecasting with Trend Decomposition

The network for creativity

Join 1.25M professional creatives like you

Connect with clients, get discovered, and run your business 100% commission-free

Creatives on Contra have earned over $150M and we are just getting started

Back to feedPost

Prashant Vishwakarma

• Jul 2

30-day price forecasting using seasonality and trend decomposition. Backtested against real Google Finance data. Metrics: MAPE 4.2%, R² 0.89.

Data Analysis Data Engineering Data Visualization Matplotlib Python seaborn

Sehrish Khalid

• Jul 3

This repository contains a comprehensive data analysis project focused on Time Series Forecasting and Statistical Anomaly Detection. The analysis tracks asset performance (specifically Close prices) over a multi-year period (2015–2021) to capture long-term growth trends, evaluate seasonal variance by month, and isolate periods of extreme market volatility.

By leveraging moving window techniques and statistical thresholds, this project successfully flags 69 key anomaly points where market behavior diverged significantly from historical averages.