Design And Realization Of Stock Analysis System Based On RSI Index

With the sustained and rapid development of my country's market economy,the stock market has also ushered in a period of rapid development.In order to complete the original accumulation of wealthy funds,more and more investors are turning their investment attention to the financial market.As the most active and important financial asset and long-term investment tool in the financial market,stocks have been favored by the majority of investors for their high-yield,short-period,and easy-to-operate investment model.However,the traditional stock trading model is too restricted by time and geographical factors,which has caused great inconvenience to people's investment.And traditional stock analysis methods are increasingly unable to adapt to the current stock market,which has brought great inconvenience to investors.In recent years,with the rapid development of the Internet,it can effectively break through the limitations of time and space,making various industries continue to combine with it.Under the new situation,the opening of the stock exchange market promotes electronic trading,therefore,in order to enable users to query and analyze stock information in a timely,convenient,fast,and effective manner,a system that uses the Android platform as a carrier and can provide effective stock analysis information becomes particularly important.This paper designs and implements a stock analysis system based on the RSI indicator in view of the cumbersome operation of stock software at this stage,single function and lack of intelligent analysis function.First,the overall requirements of the system are analyzed,and the functional requirements of the system and the non-functional requirements involved in the design process are analyzed in the overall requirements.After that,with full consideration of the performance of the system,design schemes were designed for each function.And based on the design plan,using the C/S architecture,using Android as the client,Python combined with the flask framework as the server-side framework,combined with the performance requirements of security,practicability,and real-time,it has realized an Android-based feature function Stock analysis system,and tested the implemented system from two aspects of function and performance.In addition to the basic functions of browsing stock market data,self-selecting stock management,custom stock selection,and user information management,this system innovatively proposes an improved method for RSI indicators based on machine learning.The improved RSI indicator can obtain greater returns in turbulent market conditions and provide users with more effective analysis results.In addition,the system also designed a trend radar function for stock trend prediction,combining similarity and matrix singular value decomposition.This function has a high degree of confidence in the prediction of stock trends and can provide users with stock analysis information and suggestions with reference value.The mobile stock trading software can run efficiently on mobile devices,and investors can conveniently query and analyze stocks through the system.This system provides a reference for the design and development of such application software.