Behavioral Finance and Cryptocurrency Investments: Understanding Investor Sentiment and Market Volatility in Developed and Developing Countries

The fast pace of development of cryptocurrency markets challenges classical financial theories, highlighting the importance of investor psychology and sentiment in shaping the dynamics of prices and volatility. In sharp contrast to traditional assets, the cryptoverse is also far more driven by behavioral factors with market action frequently a result of sentiment, cognitive bias and social media than fundamentals. This study examines the intersection of behavioral finance and cryptocurrency investments, and specifically how investor sentiment affects police uncertainty phenomenon, is examined on already established and emerging markets. Using a literature-based integrative review approach, we integrate empirical and theoretical research between 2017 and 2025 from peer-reviewed sources in Scopus, ScienceDirect, JSTOR, SSRN, and Google Scholar. The review also identifies behavioural patterns that are applied again and again, such as overconfidence, herding, anchoring, and loss aversion, and looks at how they manifest in the world of crypto. It is also assessing more sentiment proxies—such as Google Trends, Twitter activity, and Reddit threads—portraying their predictive link to price volatility and trading volume.

The results confirm the inefficient property of the Cryptocurrency market and also justify the relevance of behavioral finance in decentralized sentiment-sensitive markets. The paper makes both theoretical contributions by enabling the application of sentiment analysis to blockchain based assets, and practical proposals to investors, regulators, and fintech developers. Highlighting the importance of hybrids, the study argues that behaviorally driven sentiment analysis, as well as artificial intelligence (AI) driven sentiment models should be integrated into market governance frameworks.

The results confirm the inefficient property of the Cryptocurrency market and also justify the relevance of behavioral finance in decentralized sentiment-sensitive markets. The paper makes both theoretical contributions by enabling the application of sentiment analysis to blockchain based assets, and practical proposals to investors, regulators, and fintech developers. Highlighting the importance of hybrids, the study argues that behaviorally driven sentiment analysis, as well as artificial intelligence (AI) driven sentiment models should be integrated into market governance frameworks.