# Bibliography

* CryptoCompare. (2024). *Exchange Review October 2024*. <https://www.cryptocompare.com/reports/>
* Binance Research. (2024). *Global Crypto Trading Report 2024*. <https://research.binance.com/>
* Chu, J., Zhang, Y., & Chan, S. (2024). *Volatility dynamics in cryptocurrency markets*. *Journal of Financial Markets, 45*, 100-115.
* Black, F., & Scholes, M. (1973). *The pricing of options and corporate liabilities*. *Journal of Political Economy, 81*(3), 637-654.
* Chan, E. P. (2023). *Machine Learning for Algorithmic Trading*. Packt Publishing.
* Sharma, R., et al. (2024). *Why Traditional Trading Strategies Fail in Cryptocurrency Markets*. *Journal of Digital Finance, 12*(3), 45-67.
* Lopez-Martin, M., et al. (2024). *Transformer Models for Cryptocurrency Price Prediction*. *IEEE Transactions on Financial Engineering, 15*(4), 234-245.
* Wu, L., et al. (2024). *Graph Neural Networks for Crypto Market Analysis*. International Conference on Machine Learning (ICML).
* Vaswani, A., et al. (2017). *Attention is all you need*. Advances in Neural Information Processing Systems, 30, 5998-6008.
* Schulman, J., et al. (2017). *Proximal policy optimization algorithms*. arXiv:1707.06347.


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