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References

  • Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of Exchange or Speculative Asset? Journal of International Financial Markets, Institutions & Money, 54, 177-189.
  • Bianchi, D. (2020). Cryptocurrencies as an Asset Class: An Empirical Assessment. Financial Analysts Journal, 76(4), 52-67.
  • Bogle, J. C. (1999). Common Sense on Mutual Funds: New Imperatives for the Intelligent Investor. Wiley.
  • Buterin, V. (2020). Ethereum 2.0: The Road to Proof-of-Stake. Ethereum Foundation.
  • Carver, R. (2019). Systematic Trading: A Unique New Method for Designing Trading and Investing Systems. Harriman House.
  • Chainalysis. (2023). Crypto Market Trends and Behavioral Insights. Chainalysis Reports.
  • Cont, R. (2001). Empirical Properties of Asset Returns: Stylized Facts and Statistical Issues. Quantitative Finance, 1(2), 223-236.
  • Fidelity Digital Assets. (2023). Institutional Investor Digital Assets Study.
  • Gatev, E., Goetzmann, W. N., & Rouwenhorst, K. G. (2006). Pairs Trading: Performance of a Relative-Value Arbitrage Rule. Review of Financial Studies, 19(3), 797-827.
  • Gupta, R., et al. (2024). Staking Rewards and Portfolio Optimization in Proof-of-Stake Networks. Journal of Digital Finance, 8(1), 45-68.
  • Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), 65-91.
  • Jia, Y. (2023). Optimized Grid Trading in Cryptocurrency Markets. Journal of Algorithmic Finance, 12(2), 33-52.
  • Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263-292.
  • Markowitz, H. (1952). Portfolio Selection. Journal of Finance, 7(1), 77-91.
  • Murphy, J. J. (1999). Technical Analysis of the Financial Markets. New York Institute of Finance.
  • Pardo, R. (2008). The Evaluation and Optimization of Trading Strategies. Wiley.
  • Poterba, J. M., & Summers, L. H. (1988). Mean Reversion in Stock Prices: Evidence and Implications. Journal of Financial Economics, 22(1), 27-59.
  • Taleb, N. N. (2007). The Black Swan: The Impact of the Highly Improbable. Random House.
  • Urquhart, A. (2016). The Inefficiency of Bitcoin. Economics Letters, 148, 80-82.
  • Zhou, L., & Zhang, W. (2022). The Feasibility of Grid Trading Approach for Bitcoin Based on Backtesting. Journal of Quantitative Finance, 14(2), 102-120.