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Article . 2025 . Peer-reviewed
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ANALYSIS OF BIST100 TECHNOLOGY STOCKS AND CRYPTO ASSETS USING TECHNICAL ANALYSIS INDICATORS

Authors: Dogan Kutukiz; Yakup Ulker; Ayse Kizil;

ANALYSIS OF BIST100 TECHNOLOGY STOCKS AND CRYPTO ASSETS USING TECHNICAL ANALYSIS INDICATORS

Abstract

New assets continuously emerging in capital and other markets present opportunities for investors and attract interest. Stocks, which have been traded in capital markets for many years, offer advantages to both the capital-owning company and investors. In recent years, with the emergence of crypto assets, investors have begun investing in these assets, leading to unexpected increases. Cryptocurrencies carry significant risks as they have no legal basis. Investors conduct numerous analyses when investing. Technical analysis, one of these, has been used for many years to identify short- and medium-term price movements. In this study, 5 BIST100 technology stocks and 5 major cryptocurrencies were analyzed using technical analysis indicators for the 2022-2024 period. The analysis identified increases and decreases based on the assumption that purchases and sales were made according to the buy-sell signals generated during the specified time periods. Additionally, an analysis was conducted and compared using a buy-and-hold strategy during the same time periods. According to the analysis results, it was observed that the indicator signals differed between technology stocks and crypto assets, that there was a difference between periodic signals and buy-and-hold, that the momentum indicator yielded the best results, particularly in the buy-hold operation, and that the Bollinger Bands indicator strategy provided the highest profits for technology stocks and all crypto assets in all time frames.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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