Question 1

How do I set up and run the HFT_Bitcoin notebook?

Accepted Answer

You'll need to download the notebook from GitHub and run it in a Jupyter environment with Python installed. However, specific dependencies aren't listed, so you may need to install packages like pandas, numpy, and matplotlib based on the code.

Question 2

HFT_Bitcoin vs traditional stock market HFT tools: what's different?

Accepted Answer

HFT_Bitcoin is specifically designed for Bitcoin exchanges, which have different market microstructures and data formats compared to traditional stock markets. It focuses on cryptocurrency-specific patterns and arbitrage opportunities.

Question 3

What data sources does HFT_Bitcoin use for analysis?

Accepted Answer

The notebook likely uses trading data from various Bitcoin exchanges, but the exact sources aren't detailed in the README. You might need to adapt it to your own data or public datasets.

Question 4

Can I use HFT_Bitcoin for live trading strategies?

Accepted Answer

No, HFT_Bitcoin is primarily for retrospective analysis and research. It's not designed for real-time data processing or trading execution; you'd need to build additional systems for live trading.

Question 5

How can I extend HFT_Bitcoin to analyze other cryptocurrencies?

Accepted Answer

Since it's a notebook, you can modify the code to handle data from other crypto exchanges. However, without modular design, this requires significant manual adjustments to the analysis logic.

Question 6

Is HFT_Bitcoin actively maintained or updated?

Accepted Answer

Based on the GitHub repository, there are no recent commits or issues, suggesting it might not be actively maintained. Users should verify the code's compatibility with current data formats and libraries.

HFT_Bitcoin

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