This study investigates daily closing stock prices in the Market for Alternative Investment (MAI) of the Stock Exchange of Thailand (SET). The Artificial Neural Network (ANN) is applied to predict daily closing stock prices of the most active stocks in MAI. This paper aims to investigate ...
A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing Prediction of future movement of stock prices has been a subject matter of many research work. There is a gamut of literature of technical analysis of stoc... S Mehtab,J Sen - 《Papers》 ...
Stock market prediction has been identified as a very important practical problem in the economic field. However, the timely prediction of the market is generally regarded as one of the most challenging problems due to the stock market’s characteristics of noise and volatility. To address these ...
Predictivetechnical analysismodules help investors to analyze different prices and returns patterns as well asdiagnose historical swingsto determine the real value of Clearpoint Neuro. We use our internally-developed statistical techniques to arrive atthe intrinsic valueof Clearpoint Neuro based on widely ...
The model is prepared to forecast the daily closing prices of the SPDR S&P 500 ETF Trust (SPY). A moving average filter is used to separate the daily closing prices into a low volatility times series (moving average output) and a high volatility time series (close – moving average). The...
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fonar. We use our internally-developed statistical techniques to arrive at the intrinsic value of Fonar based on widely used predicti...
Jan Palczewski,rnKlaus Reiner Schenk-Hoppe - Journal of Economic Dynamics and Control 被引量: 0发表: 2010年 Going global: Viata software. (Hawaii Stocks).(Viata Software marketing strategy; Hawaiii business stock prices)(Brief Article)(Illustration)(Statistical D... This paper aims to open...
In this paper, we examine the extent to which seller-paid concessions (SPCs) are capitalized into foreclosed and non-foreclosed housing selling prices and days on the market (DOM) from 2004:Q1-2012:Q1. The findings suggest that SPCs are ... DT Winkler,BL Gordon - 《Journal of Real Estate...
This paper proposes a layered LSTM with a dense network layer to effectively predict the closing price of certain stocks in NIFTY. To measure the stock changes in the stock market on one day, the closing price can be compared with the previous day closing price or 30 days earlier or a ...
In particular, favorite stocks such as Dow Jones Industrial Average (DJIA), Tesla Inc (TSLA), and Meta Platforms Inc (META) have attracted many investments in recent years. The volatility of stock prices is very unpredictable, causing many difficulties for investors in this field. Furthermore, ...