Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
SIPM: Stock Index Prediction Model for Engineering Management
View through CrossRef
In order to accurately predict the future trend of the stock index, a stock index prediction model (SIPM) is provided. SIPM composed by the following modules: data acquisition module, data preprocessing module, learning modules and forecasting modules. The core of SIPM is the last module which adopts ANN as its predicting model. Based on the historical data of a past period, SIPM can forecast next M days trends. The experiments on daily, weekly and monthly data show that the model is feasible. The key conclusion is that SIPM has good prediction results on low-level time granularity.
Trans Tech Publications, Ltd.
Title: SIPM: Stock Index Prediction Model for Engineering Management
Description:
In order to accurately predict the future trend of the stock index, a stock index prediction model (SIPM) is provided.
SIPM composed by the following modules: data acquisition module, data preprocessing module, learning modules and forecasting modules.
The core of SIPM is the last module which adopts ANN as its predicting model.
Based on the historical data of a past period, SIPM can forecast next M days trends.
The experiments on daily, weekly and monthly data show that the model is feasible.
The key conclusion is that SIPM has good prediction results on low-level time granularity.
Related Results
The Effect Of Stock Price, Share Return, Share Trading Volume, And Return Variant On Bid-Ask Spread On Textile And Garment Companies Listed On The Indonesia Stock Exchange, 2019-2020
The Effect Of Stock Price, Share Return, Share Trading Volume, And Return Variant On Bid-Ask Spread On Textile And Garment Companies Listed On The Indonesia Stock Exchange, 2019-2020
This study aims to obtain empirical evidence of the effect of Stock Price, Stock Return, Stock Trading Volume, and Return Variant on the Bid-Ask Spread of Stocks in Textile and Gar...
ANALISIS PERBEDAAN HARGA SAHAM, VOLUME PERDAGANGAN SAHAM DAN RETURN SAHAM SEBELUM DAN SESUDAH STOCK SPLIT
ANALISIS PERBEDAAN HARGA SAHAM, VOLUME PERDAGANGAN SAHAM DAN RETURN SAHAM SEBELUM DAN SESUDAH STOCK SPLIT
This study aims to compare stock prices, stock trading volume and stock returns before and after a stock split. This study uses quantitative secondary data and uses a test conducte...
Stock Prediction Using Machine Learning Algorithms
Stock Prediction Using Machine Learning Algorithms
In the recent times, the stock markets have emerged as one of the top investment destinations for individual and retail investors due to the lure of huge profits that are possible ...
Energy resolution values of GAGG:Ce crystals coupled to various SiPMs
Energy resolution values of GAGG:Ce crystals coupled to various SiPMs
Abstract
GAGG:Ce (Gadolinium Aluminum Gallium Garnet doped with Cerium) crystals coupled with SiPMs (Silicon Photomultipliers) form a scintil...
Stock Splits as a Value Creation Vehicle
Stock Splits as a Value Creation Vehicle
Stock splits have been for a long time a puzzling phenomenon that can bear particular consequences for stock’s liquidity as well as for a stock price. I perform an analysis of stoc...
Analyzing Stock Market Trends with Time Series Analysis
Analyzing Stock Market Trends with Time Series Analysis
The stock market is a vital component of modern economies, serving as a mechanism for companies to raise capital and for investors to participate in the growth of those companies. ...
THE IMPACT OF ASSET STRUCTURE, DIVIDEND POLICY, AND SALES GROWTH ON STOCK PRICES (A STUDY ON PROPERTY AND REAL ESTATE FROM 2020-2023)
THE IMPACT OF ASSET STRUCTURE, DIVIDEND POLICY, AND SALES GROWTH ON STOCK PRICES (A STUDY ON PROPERTY AND REAL ESTATE FROM 2020-2023)
Background: The structure of assets, dividend policies, and sales growth in relation to stock prices is conducted to understand the relationship between several factors that can in...
Stock Trend Prediction Using LSTM with MA, EMA, MACD and RSI Indicators
Stock Trend Prediction Using LSTM with MA, EMA, MACD and RSI Indicators
The stock market that has been known volatile is always an attractive target for the researchers to perform research and experiment on. Stock trend prediction is one of the most fa...