منابع مشابه
Stock Prediction and Automated Trading System
Stock market decision making is a very challenging and difficult task of financial data prediction. Prediction about stock market with high accuracy movement yield profit for investors of the stocks. Because of the complexity of stock market financial data, development of efficient models for prediction decision is very difficult, and it must be accurate. This study attempted to develop models ...
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Development of semiand fullyautomated trading systems is becoming increasingly popular in the financial market. Our aim is to develop a scalable lightweight distributed trading system that is self-configuring, self-healing, and provides fast execution of trades with high availability. We used a peer-to-peer (P2P) platform which would allow for the flexibility of non-static nodes dispersed acros...
متن کاملA Model of Competitive Stock Trading Volume
A model of competitive stock trading is developed in which investors are heterogeneous in their information and private investment opportunities and rationally trade for both informational and noninformational motives. I examine the link between the nature of heterogeneity among investors and the behavior of trading volume and its relation to price dynamics. It is found that volume is positivel...
متن کاملAn Agent-based Recommending System for Stock-Trading
The recommending system is frequently used nowadays in Electronic Commerce. A lot of commercial transactions are made by recommends from trustable advisors, experts and partners. Many stock traders place their orders after their friends recommends them to do so. This report exams the effectiveness of recommending system in stock markets in the context of the Penn-Lehman Automated Trading (PLAT)...
متن کاملA Fuzzy-Neural Intelligent Trading Model for Stock Price Prediction
In this paper, Fuzzy logic and Neural Network approaches for predicting financial stock price are investigated. A study of a knowledge based system for stock price prediction is carried out. We explore Trapezoidal membership function method and Sugeno-type fuzzy inference engine to optimize the estimated result. Our model utilizes the performance of artificial neural networks trained using back...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2016
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9i48/107998