Explore MATLAB source code curated for "股票" with clean implementations, documentation, and examples.
Markov Chain Method for Stock Prediction: Building predictive models for the Shanghai Composite Index using Chinese stock market historical data, with model validation and stock index forecasting (stock index refers to stock price index). Implementation includes state transition probability matrix calculation and predictive analytics.
Analyzing and fitting financial data (stocks, futures, bonds) with computation of various technical indicators
This MATLAB-based intelligent stock selection strategy is designed to help investors identify valuable investment opportunities from nearly 2,000 stocks through algorithmic analysis and data-driven screening.
This is a robust stock prediction program utilizing neural networks, featuring high accuracy, powerful predictive capabilities, and excellent curve-fitting performance for identifying market patterns
MATLAB source code for implementing neural network-based rolling prediction of individual stock indicators. Users can adapt this code for their own regression prediction problems. This implementation specifically demonstrates the general usage of ELMAN neural networks for research purposes, but is NOT suitable for investment analysis due to significant prediction errors. Important warning: Use with extreme caution.
A predictive program capable of forecasting diverse time series data: including stock market trends, seismic activity, precipitation patterns, hydrological changes, and more.