STUDY OF INVESTOR BEHAVIOR IN THE MARKET CRYPTOCURRENCY WITH AN AGENT MODEL APPROACH
This study focuses on investor behavior in the cryptocurrency market using agent-based modeling and statistical-thermodynamic analysis. We utilized the NetLogo platform to develop an agent-based model that simulates how investors interact with digital assets and adapt to price fluctuations. Throu...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/83193 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | This study focuses on investor behavior in the cryptocurrency market using agent-based
modeling and statistical-thermodynamic analysis. We utilized the NetLogo platform to
develop an agent-based model that simulates how investors interact with digital assets
and adapt to price fluctuations. Through this simulation, we observed the impact of
investor behavior on wealth distribution within the market. Our NetLogo code encompasses decision-making, movement, and interactions with crypto assets, while thermodynamic concepts are employed to measure market uncertainty, reflecting variations
in investor behavior. Our analysis identified two primary phenomena: compression
and expansion of wealth distribution. Compression occurs when wealth distribution
decreases after a certain period, while expansion occurs when wealth increases. The
statistical analysis helps identify trends and patterns in investor behavior, as well as
measure wealth concentration in the cryptocurrency market. The findings of this study
provide deep insights into how investor behavior affects the cryptocurrency market,
highlighting important implications for market understanding and offering guidance for
investors and policymakers.
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