Decision Support Systems Applied to Online Trading By Rosaana Pérez.

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Presentation transcript:

Decision Support Systems Applied to Online Trading By Rosaana Pérez

DSS Applied to Online Trading A DSS aims for the following objectives:  To address the effectiveness of strategic problem solving  To support rather than replace a manager’s judgment  To provide information and models  DSS is the most effective solution to the “semistructure decision problem”

DSS Applied to Online Trading Online Trading  Internet  Individual Investors  Online Brokers  Online Trading

DSS Applied to Online Trading Architecture of a DSS for Online Trading  The goal of DSS Stocks Orders Market data Data Warehouse Decision Models Financial Analysis Portfolio Mgmt. Risk Analysis

DSS Applied to Online Trading Basic Characteristics of a DSS used in online trading  Online trading analyses a lot of securities simultaneously  DSS suggest to divide the capital into several portions  DSS generates buy/sell recommendations  DSS is not an auto-trading system

DSS Applied to Online Trading DSS suggest to divide the capital into several portions  Query lots of securities at the same time  Rely on financial information of companies (financial indicators, revenues, losses, debt, etc…)  Based on the models used, the DSS generate investing suggestions

Financial information of a company extracted by a DSS

DSS Applied to Online Trading DSS generates buy/sell recommendations Technical Analysis indicators

DSS Applied to Online Trading A more clear example:

DSS Applied to Online Trading A DSS is NOT a trading platform, they are used by trading platforms. Trading Platforms  E-Signal, CyberTrader  Act as DSS  Allow investors to create their own trading rules and execute accordingly (buy/sell)

E-Signal

CyberTrader