Algoritmic Trading System Based on State Model for Moving Average in a Binary-Temporal Representation

Author:

Stasiak Michał DominikORCID

Abstract

One of the most basic methods of technical analysis that is used in the practice of investment is the analysis of moving averages, usually calculated for exchange rates in a candlestick representation. The following paper proposes a new, state model, describing the process of trajectory changes in a binary-temporal representation. This kind of representation carries a significantly higher informative value than the candlestick one. The model is based on a proper definition of the moving average, proposed for a binary-temporal representation. The new model allows for exchange rate trajectory prediction in a short future window and, as a consequence, can be used to construct effective HFT systems. The article provides a concept of this kind of system and its comparison with others based on historical data for AUD/NZD exchange rate from the 2014–2020 period.

Publisher

MDPI AG

Subject

Strategy and Management,Economics, Econometrics and Finance (miscellaneous),Accounting

Reference26 articles.

1. High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems;Aldridge,2013

2. Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators

3. Trading and Investing in the Forex Market Using Chart Techniques;Burgess,2010

4. DRAWDOWN MEASURE IN PORTFOLIO OPTIMIZATION

5. The Point and Figure Method of Anticipating Stock Price Movements Complete Theory & Practice;De Villiers,1933

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