Possibility of Profit Gain in Futures Cryptocurrency Trading Plans Using a Patterned Dataset Model under Moon Conditions

Among the various components of cryptocurrency trading are futures (2-way trading based on short or long contracts) and spot schemes (which operate in the same direction as buying and selling crypto assets). The futures scheme transaction was selected for this study's test since it frequently results in trades with comparatively larger swings than spot scheme deals. If these variations are not correctly anticipated, they may result in losses. Real-time position reading for cryptocurrency trading is made possible by the Patterned Dataset Model. Based on observations of the pattern of influence that Bitcoin price changes have on a variety of other cryptocurrency asset values in a trading market, this model was developed. Three types of data are generated by this model, and they are mined nonstop every few seconds. The entire conditions (a mix of moon and crash conditions), price increase conditions (moon), and price fall conditions (crash) make up the patterned dataset. In this study, the topic of discussion is patterned datasets in rising price (moon) environments. It is possible to demonstrate the possibility of reasonably consistent gains from short contract purchase positions using the Patterned Dataset in Moon Conditions.

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Published
2024-11-06
DOI
https://doi.org/10.1109/itis64716.2024.10845659
Primary Topic
Market Dynamics and Volatility
Type
article
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article

Possibility of Profit Gain in Futures Cryptocurrency Trading Plans Using a Patterned Dataset Model under Moon Conditions

Rizky Parlika, Basuki Rahmat, R. Rizal Isnanto
Market Dynamics and Volatility
article

Possibility of Profit Gain in Futures Cryptocurrency Trading Plans Using a Patterned Dataset Model under Moon Conditions

Rizky Parlika, Basuki Rahmat, R. Rizal Isnanto
article en

Abstract

Among the various components of cryptocurrency trading are futures (2-way trading based on short or long contracts) and spot schemes (which operate in the same direction as buying and selling crypto assets). The futures scheme transaction was selected for this study's test since it frequently results in trades with comparatively larger swings than spot scheme deals. If these variations are not correctly anticipated, they may result in losses. Real-time position reading for cryptocurrency trading is made possible by the Patterned Dataset Model. Based on observations of the pattern of influence that Bitcoin price changes have on a variety of other cryptocurrency asset values in a trading market, this model was developed. Three types of data are generated by this model, and they are mined nonstop every few seconds. The entire conditions (a mix of moon and crash conditions), price increase conditions (moon), and price fall conditions (crash) make up the patterned dataset. In this study, the topic of discussion is patterned datasets in rising price (moon) environments. It is possible to demonstrate the possibility of reasonably consistent gains from short contract purchase positions using the Patterned Dataset in Moon Conditions.

Diponegoro University (ID), University of Pembangunan Nasional Veteran Jawa Timur (ID)
Openalex Percentile: Top 69%
Market Dynamics and Volatility
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