The Analysis of Stock Price Forecasting Capability of Technical Indicators-Taking Random Forest as an Example

The Analysis of Stock Price Forecasting Capability of Technical Indicators-Taking Random Forest as an Example

碩士 === 輔仁大學 === 金融與國際企業學系金融碩士班 === 106

Bibliographic Details
Main Authors:	Chen,Han, 陳涵
Other Authors:	Yang,Ya-Wei
Format:	Others
Language:	zh-TW
Published:	2018
Online Access:	http://ndltd.ncl.edu.tw/handle/y8rzx5

Similar Items

Application of Stock Technical Indicators on Resilient Back-Propagation Forecasting Stock Price-Taking Semiconductor Industry as Example
by: Chen, Chien-Hsiang, et al.
Published: (2018)

Application of Stock Price Forecasting in Technical Analysis
by: WU,JIAN-ZHANG, et al.
Published: (2018)

Using Technical Indicator for Stock Price Forecast: Using SVM and Feature Selection Algorithm
by: Jun-Wei Huang, et al.
Published: (2015)

The Performance of Reversing Use of Technical Indicator- Taking Taiwan Stock Market as an example
by: Ching-WeiChang, et al.
Published: (2011)

Computational intelligence techniques for forecasting stock price movements from news articles and technical indicators
by: Shynkevich, Yauheniya
Published: (2016)

An Investment Strategy and Empirical Analysis about Price, Volume, Technical Indicators and Bollinger Bands of Taiwan's Stock Market--Take the Tourism Stocks Jinghua as an Example
by: WANG, SHU-FANG, et al.
Published: (2019)

The Performance Analysis of Technical Indicators of Stock Prices
by: YA-WEN HSIAO, et al.
Published: (2018)

Using Data Mining Technology to Forecast Stock Price-Taking Apple’s Product Suppliers as an Example
by: LIN,HSIEN-MIN, et al.
Published: (2018)

THE INFLUENCE MADE BY THE UPDATE OF FINANCIAL FORECAST UPON STOCK PRICE--TAKE CHEMISTRY INDUSTRY FOR EXAMPLE
by: lee,Fu-Chuan, et al.
Published: (2002)

Feature selection and deep neural networks for stock price direction forecasting using technical analysis indicators
by: Yaohao Peng, et al.
Published: (2021-09-01)

Application of Back-propagation Neural Network Model Based on Stock Price Forecasting Model with Technical Indicators
by: Che-Lun Chang, et al.
Published: (2012)

Stock price forecasting taking into account the popularity of search queries
by: K. Yu. Kononova, et al.
Published: (2018-06-01)

Combining Technical Analysis and Artificial Intelligence Methods for Stock Price Forecasts
by: Shin-Pei Lee, et al.

Combination of Ensemble Algorithms with technical indicators to forecast stock market
by: Chun-Teng Ko, et al.
Published: (2013)

Stock market indicators: Can they forecast the future movements in stock prices?
by: Hyman, Stephen L.
Published: (2018)

Application of Genetic Algorithms to Stock Market Technical Indicator Analysis and Forecasting
by: Tsung-Yu Shen, et al.
Published: (2009)

A hybrid multi-technical indicators model to forecast stock trend
by: Shun-Chang Hsieh, et al.

Stock Price Prediction by Using Convolutional Neural Network and Random Forest
by: Chen, Po-Fan, et al.
Published: (2019)

Two Essays Related to Investments: Performance Evaluation for the Stocks Screened and Stock Price Informativeness in Terms of Technical Indicators
by: Yu-Hsin Chen, et al.
Published: (2018)

Integrated Recognition Model Based on Chart Patterns and Multiple Technical Indicators to Analyze Stock Return for Forecasting Stock Market
by: Feng-Yu Chen, et al.
Published: (2010)

A Study on Price Forecasting Model-Take the House Price of Taiwan Area as an Example
by: Hao-Cheng Chan, et al.
Published: (2017)

A Hybrid Approach Combining Technical and Market Sentimental Indicators for Taiwan Electronics Stocks Price Forecasting Using GA-SVR
by: Pei-Yu Hsieh, et al.

Forecasting Comparison of Crude Oil Price Trends by International Stock Market Index and Technical Indicators of Crude Oil Price with LSTM Neural Network Model
by: KAO,JUNG-KUANG, et al.
Published: (2019)

Forecast of data mining in the stock market- Take advanced countries as an example
by: HUANG,PEI-YU, et al.
Published: (2018)

Cost-Sensitive Prediction of Stock Price Direction: Selection of Technical Indicators
by: Yazeed Alsubaie, et al.
Published: (2019-01-01)

Price Limit and Stock Price Forecast
by: Lin, Tzu Chi, et al.
Published: (2016)

Forecasting Taiwan stock prices
by: CHIU, POH-LIM, et al.
Published: (1998)

Research on the Prediction of Taiwan Stock Price Fluctuation by Applying Different Technical Indicators
by: Hsiao, Chun-Lung, et al.
Published: (2014)

Application of Artificial Neural Network and Technical Indicators to Forecast Stock-A Case study of TW50ETF
by: Chih-Lung Chen, et al.
Published: (2006)

Hybrid SVR model based on EMD and technical indicators feature selection for stock forecasting
by: CHUNG, NIEN-CHUNG, et al.
Published: (2017)

Forecasting Stock Price based on Fuzzy Time-Series
by: Bo-Tsuen Chen, et al.
Published: (2012)

The Effects of changes in price and analyst responses of earnings forecasts to stocks indices adjustments
by: Tu, Chia Jung, et al.
Published: (2009)

A Study on Stock Price Forecasting by Deep Learning
by: CHEN,HAO-WEI, et al.
Published: (2017)

A Study of Applying Mahalanobis-Taguchi System in Stock Price Forecasting – An Example of Taiwan Electronic Stock
by: Johnson Wu, et al.
Published: (2008)

Increase or Decrease the Stock Price? Take Fire Accident in Taiwanese Companies as an Example
by: Chia-Chi Huang, et al.
Published: (2018)

A Random Forests Approach to Predicting Clean Energy Stock Prices
by: Perry Sadorsky
Published: (2021-01-01)

The Application of Technical Analysis in Stock Price Forecasting: Non-linear Probability Models and Artificial Neural Networks
by: Hossein Khanjarpanah, et al.
Published: (2018-10-01)

The Study of Comparison in Trading Decision from Forecasting StockPrice By Artificial Neural Network and Technical Analysis
by: Chi-Ting Lai, et al.
Published: (2011)

A new technical indicator considers the relationship between price and volume of stock market
by: Yi-hsin Wang, et al.
Published: (2012)

A Study on Taiwan Stock Prices Forecasting
by: Chen-Hung Lee, et al.
Published: (2008)

Cannot write session to /tmp/vufind_sessions/sess_glqdf93a29esqtsbdf08rjqqd4