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Abstract
The cryptocurrency market is characterized by having a high price variation, being a developing market and by its uncertainty. Despite this, investors in this market are constantly making transactions which generate large amounts of data. Under these circumstances, whoever invests in this market is subject to high volatility, which allows both significant profits and exposure to high risk that can become big losses, and thus, these investors are looking to create strategies that maximize profits and minimize risks and operating costs. The complexity of the decisions around this problem makes it an attractive on for machine learning techniques. These exploit the amount of data to generate a predictive model, through pattern recognition, to support decision making. This work consists of a model for an investment strategy from both computational intelligence and financial information. The strategy aims for making investments that last 3 days, maximizes profitability and minimizes price volatility related risks, especially in moments with large and fast drops in prices. For this strategy, artificial neural networks were used, along with historical price data, data preprocessing and statistical indexes. The results were positive and showcased the possibility of achieving significant profits through this strategy during the testing period, superior to those achieved by the Buy and Hold market strategy.
Original language | English |
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Title of host publication | Intelligent Sustainable Systems - Selected Papers of WorldS4 2023 |
Subtitle of host publication | Selected Papers of WorldS4 2023 |
Editors | Atulya K. Nagar, Dharm Singh Jat, Durgesh Mishra, Amit Joshi |
Place of Publication | Singapore |
Pages | 221-231 |
Number of pages | 11 |
Volume | 3 |
ISBN (Electronic) | 978-981-99-7569-3 |
DOIs | |
State | Published - 2024 |
Event | World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4 2023). - Londres, Ireland Duration: 21 Aug 2023 → 24 Aug 2023 |
Publication series
Name | Lecture notes in networks and systems |
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Publisher | Springer |
Number | 803 |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Congress
Congress | World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4 2023). |
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Country/Territory | Ireland |
City | Londres |
Period | 21/08/23 → 24/08/23 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Keywords
- Artificial neural networks
- Pattern recognition
- Trading strategy
- Cryptocurrency
- Machine learning
- Algorithmic trading
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Dive into the research topics of 'Machine learning for increased profits in the cryptocurrency market through pattern recognition with artificial neural networks'. Together they form a unique fingerprint.Activities
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World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4 2023).
Lazo Lazo, J. G. (Speaker)
21 Aug 2023 → 24 Aug 2023Activity: Participating in an event