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Price Probability Predictor. Capital Investments Assisted by a Probability Field

In: Business Revolution in a Digital Era

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  • Cristian Păuna

    (Academy of Economic Studies)

Abstract

Capital investment is a sustained activity nowadays. After the worldwide release of the electronic trading systems, automated decision-making investment software is the new trend in financial speculation. A significant part of capital trading is fully computerized today. The buying and selling orders are made and sent automatically, almost in real-time. The price evolution is analyzed by servers using advanced mathematical algorithms. This chapter will present one of these models named Price Probability Predictor. It is a method to build a probability field based on the price history and the real-time price action. The revealed function will generate the current probability of a price growth in the next time intervals. Automated entry and exit signals and market limit conditions will be built using the new indicator, in order to automate the whole investment process. Capital investment results will also be included in the current paper to qualify the presented trading methodology and to compare it with other similar models. In conclusion, it was found that the Price Probability Predictor is a reliable mathematical algorithm that can assist any trading decisions, in both ways, manual or automatic capital investments.

Suggested Citation

  • Cristian Păuna, 2021. "Price Probability Predictor. Capital Investments Assisted by a Probability Field," Springer Proceedings in Business and Economics, in: Alina Mihaela Dima & Fabrizio D'Ascenzo (ed.), Business Revolution in a Digital Era, pages 303-318, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-59972-0_21
    DOI: 10.1007/978-3-030-59972-0_21
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