Reliable Signals and Limit Conditions for Automated Trading Systems

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Abstract

Automated trading software is a significant part of the business intelligence system in a modern investment company today. The buy and sell orders are built and sent almost instantly by computers using special trading and computational strategies. The trading decisions are made by automated algorithms. In this paper it will be presented one of these mathematical models which generate trading signals based only on the time price series. The algorithm combines several known computing techniques to build a trading indicator to automate the trades. With this method, buy decisions on oversold intervals and sell decisions on overbought price values can be built. Limit conditions in order to close the long and short trades can be also automatically generated. More trading signal types based on this model will be revealed. Trading results obtained with all these signals will be presented in order to qualify this methodology developed especially for algorithmic trading.

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  • 1. Berbente Corneliu Mitran Sorin ancu Silviu (1997) Metode Numerice Editura Tehnică ISBN 973- 31-1135-X pp. 10-20.

  • 2. Börse Frankfurt (2018) Frankfurt Stock Exchange Deutsche Aktienindex DAX30 Components. Retrieved from http://www.boersefrankfurt.de/index/dax

  • 3. Connors Larry Alvarez Cesar (2009) Short Term Strategies That Work - A Quantitative Guide to Trading Stocks and ETFs TradingMarkets Publishing Group New Jersey US ISBN: 978-0-0919239-0-1 pp. 17-19

  • 4. Cox David Roxbee Sir (1961) Prediction by Exponentially Weighted moving Averages and Related Methods Journal of the royal Statistical Society Series B Vol. 23 No. 2 pp. 414-422

  • 5. Ehlers John F. (2004) Cybernetic Analysis for Stocks and Futures. Cutting- Edge DSP Technology to Improve Your Trading Wiley ISBN: 9780471463078 pp. 4-10

  • 6. Păuna C. (2010) TheDaxTrader automated trading system online software presentation. Retrieved from https://pauna.biz/thedaxtrader

  • 7. Păuna Cristian (2018) Automated Trading Software. Design and Integration in Business Intelligence Systems Database Systems Journal ISSN 2069 - 3230 Vol. VIII Issue 1/2018 pp. 121-128

  • 8. Păuna Cristian (2018) Capital and Risk Management for Automated Trading Systems Proceedings of the 17th International Conference on Informatics in Economy pp 183-188.

  • 9. Reinsch Christian (1967) smoothing by Spline functions Numerische Mathematik Volume 10 Issue 3 pp 177-183 ISSN 0945-3245 DOI https://doi.org/10.1007/BF02162161

  • 10. Wilder Wells Jr. (1986) The Relative Strength Index Journal of Technical Analysis of Stocks and Commodities Seattle US 4 pp. 343-346.

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