What are the common challenges in developing quant prediction models for cryptocurrencies?

1 answers

• Dec 25, 2021 · 3 years ago
  At BYDFi, we understand the challenges that developers face when creating quant prediction models for cryptocurrencies. One common challenge is the lack of data quality. Many cryptocurrency exchanges have poor data quality, with missing or inaccurate data. This can make it difficult for developers to build reliable models. Another challenge is the lack of standardization in the cryptocurrency market. Each exchange has its own unique trading rules and data formats, which can make it difficult to collect and analyze data from multiple sources. Finally, the fast-paced nature of the cryptocurrency market poses a challenge for developers. Prices can change rapidly, and new cryptocurrencies are constantly being introduced. Developers need to stay up-to-date with the latest market trends and adapt their models accordingly.
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