Noah Terminal
  • Welcome
    • βš“Noah Ecosystem
  • Introduction
    • πŸ₯Background
    • πŸ‘ΎThe Genesis of the Noah Ecosystem
  • Noah Quant
    • 🎰System Overview
    • πŸ”’Data Collection
    • 🟒AI Decision Core Design
    • πŸ”΄Risk Management
    • πŸ‘©β€πŸ«Data Processing
    • ♾️Execution Layer
    • πŸ’ΈEmpirical Results
  • Resources
    • πŸ”—Official links
    • ℹ️Bibliography
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  1. Resources

Bibliography

PreviousOfficial links

Last updated 5 months ago

  • CryptoCompare. (2024). Exchange Review October 2024.

  • Binance Research. (2024). Global Crypto Trading Report 2024.

  • 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.

ℹ️
https://www.cryptocompare.com/reports/
https://research.binance.com/