List of Articles ebrahim abbasi

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  1 - Intelligent System Design to Discovering the Pivot Price Using Candlestick Patterns and Gann Square Technique’s (Insurance Industry and Pension Fund)
  ebrahim abbasi hosein didekhani parviz saeidi mostafa bagheri
  The purpose of this study is design of Intelligent System with using of artificial intelligence techniques to discover and classified the pivot price. The pivot price is a point of price that changes the stock price trend. Use of gann-square and candlestick patterns In More

  The purpose of this study is design of Intelligent System with using of artificial intelligence techniques to discover and classified the pivot price. The pivot price is a point of price that changes the stock price trend. Use of gann-square and candlestick patterns In this research with other variables. The number of data firm used in this study is related to Insurance Industry and Pension Fund during five years from September 2012 to September 2017. Pivot price is recognized with ZigZag indicator and coded in SQLServer. The result of the research indicates the high ability of the system designed to discover and classify pivot price with a focus on the gann-square and candlestick patterns. the significance of the variables gann-square and candlestick patterns in correct classify pivot price was grater than of other variabls. Finally, the future researchers can use new approaches to analysis, including the concept of canslim and commodity markets for discovery of price pivot. Manuscript profile
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  2 - Analysis of Personal Banking Business pattern (Refah.k bank Case Study)
  ebrahim abbasi Mahmood Rezaie bonjar
  Abstractthis study aimed to identify the business model of personal banking in the bank of Refah Kargaran. By identifying the personal business pattern and the main component in implementing these pattern based on Osterwalder and Pigneur business ontology and using desc More

  Abstractthis study aimed to identify the business model of personal banking in the bank of Refah Kargaran. By identifying the personal business pattern and the main component in implementing these pattern based on Osterwalder and Pigneur business ontology and using descriptive-regression method and path analysis model, the result of this research represents employment of unbundling and somewhat the long tail pattern in implementing personal banking. As the results of the research show, confirmation of the use of two distinct business patterns, reflects the concentration Bank Refah Kargaran on branding, customer segmentation and service provision. Also, the rejection of the hypotheses of using the three business pattern of multi-sided platform, open, and FREE, reflects the need to review the business pattern used by the bank for the benefit of the workers to benefit from personal banking. Manuscript profile
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  3 - Designing a hybrid intelligent model for predicting the Financial Richness
  fatemeh shahbazadeh ebrahim abbasi Hosein Didehkhani Ali Khozean
  This study aims to present an intelligent model for predicting financial opulence in the security companies as a system that supports the decisions. For this reason, by investigating background of the seventeen numbers of variables as a predictor variable for predicting More

  This study aims to present an intelligent model for predicting financial opulence in the security companies as a system that supports the decisions. For this reason, by investigating background of the seventeen numbers of variables as a predictor variable for predicting the class of financial opulence from valid sources of central security Site G.A.A during the years 1390- 1395 had been extracted. For conducting this investigation, there had been used of the data of Security Industry, during the years 1390 to 1395. In this investigation, first, we compare the results of applying different models of prediction based on Data Mining and in the second stage, we investigate the ranking of predicting algorithms. The finding results of this investigation showed that the financial opulence with acceptable precision is predictable and the extracted model by using the decision tree has very high precision and capability. Manuscript profile
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  4 - عنوان مقاله / English Daily Stock Price Movement Prediction Using Sentiment text mining of social network and data mining of Technical indicators
  Kamel Ebrahimian ebrahim abbasi Akbar Alam tabriz Amir Mohammadzadeh
  This study predicts the future movement of stock prices in the short term by using the analysis of investors' opinions on the social network. The predictability of stock markets, due to having a complex, dynamic and nonlinear system that it has always been one of the ch More

  This study predicts the future movement of stock prices in the short term by using the analysis of investors' opinions on the social network. The predictability of stock markets, due to having a complex, dynamic and nonlinear system that it has always been one of the challenges for researchers. In this research, for the first time, we developed a model with 72.08%accuracy for predicting stock movement and predicting the trend by analyzing the feelings of users' opinions and combining it with 20 technical indicators and we use three data mining algorithms include decision tree, Naïve Bayes and Support Vector Machine. According to the results, the support vector machine showed better performance than the other algorithms. It was also found that the next day trading volume and the number of comments have a significant correlation and the results of Granger causality test showed can be used to predict stock price and also it took advantage of the aggregation of users' daily emotions. Manuscript profile
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  5 - Designing a Hybrid Intelligent Model for Prediction of Stock Price Golden Points
  Mohammad Moshari Hosein Didehkhani Kaveh Khalili Dameghani Ebrahim Abbasi
  The purpose of this research is to provide an intelligent model for prediction of golden points on stock price chart as a decision support system. For conduction of this research, the data of the automotive and parts manufacturing industry during 2001 through to 2016 we More

  The purpose of this research is to provide an intelligent model for prediction of golden points on stock price chart as a decision support system. For conduction of this research, the data of the automotive and parts manufacturing industry during 2001 through to 2016 were used. First, the obtained results from application of different forecasting models based on data mining were compared with each other. Next, the research variables were optimized by genetic algorithm and remodeling took place. The results indicated that the golden points could be predicted with reasonable accuracy and optimization did not enhanced accuracy in all these models, yet it significantly reduced gross error.     Manuscript profile
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  6 - Review is research affect Tobin q ratio and Revenue growth rate on the level of investment in listed companies in Tehran Stock Exchange
  Ebrahim Abbasi Behrooz Ebrahimzadeh Rahimlou
  The purpose of this paper is research affect Tobin q ratio and Revenue growth rate on the level of investment.The order One handrered companies from Tehran Stock Exchange (1381-7) have selected for they research. Company’s have Tobin q ratio to two groups from Tob More

  The purpose of this paper is research affect Tobin q ratio and Revenue growth rate on the level of investment.The order One handrered companies from Tehran Stock Exchange (1381-7) have selected for they research. Company’s have Tobin q ratio to two groups from Tobin q ratio point of view that are firms with a Tobin q ratio smaller than One and firms with a Tobin q ratio greater than One. The regression test results showed that; for the total of firms, Tobin q ratio has significant affect on the level of investment,but Revenue growth rate has significant affect on the level of investment. Also results showed that; for the of firms with q < 1 , Tobin q ratio has significant affect on the level of investment,but ; for the of firms with q > 1 Tobin q ratio has significant affect on the level of investment. Manuscript profile
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  7 - Measurment of stock liquidity criteria surrounding capital raising decisions
  Ebrahim Abbasi Alireza Rajabpour
  This study investigates the explaining ability of the stock liquidity criteria before and after capital raising decisions by using stock rights and stock dividends.For this purpose liquidity criteria including trading volumes, trading value, number of trading days, trad More

  This study investigates the explaining ability of the stock liquidity criteria before and after capital raising decisions by using stock rights and stock dividends.For this purpose liquidity criteria including trading volumes, trading value, number of trading days, trading frequency and the number of buyers are investigated.This study includes are month before closing  the symbol and one month after opening the symbol following extra ordinary assemblies on stock right and stock dividends issue.This paper investigates 215 capital raising cases during 2005-2010 years in Tehran stock exchange. The results of the pairs t-test demonstrated that the mean liquidity criteria after capital raising in comparasion with before that doesen’t have any significant differences. But there is significant and positive correlation between percent of capital raising with liquidity criteria. Manuscript profile