This Python script visualizes the flow of block option trades on Deribit for BTC or ETH using a heatmap. It fetches historical trade data, processes it, and generates a heatmap to analyze trade flows based on maturity and strike prices.

1. Initialization: Create an instance of the HeatMap class.

from option_flows import HeatMap
heatmap = HeatMap(asset='BTC', lookback_hours=24)

• asset: The cryptocurrency asset, either 'BTC' or 'ETH'.
• lookback_hours: The number of hours to look back for trades.

2. Generating the Heatmap:

heatmap.plot_data()

This method fetches the data, cleans it, and plots the heatmap. The heatmap shows option trade flows with maturity dates on the y-axis and strike prices on the x-axis. The blue vertical line represents the strike closest to the current price of the asset. Lastly, the script saves a heatmap image visualizing the trade flows during the specified lookback period.

Example 1: Bitcoin 24-Hour Trade Flow

btc_heatmap = HeatMap(asset='BTC', lookback_hours=24)
btc_heatmap.plot_data()

Generates and saves a heatmap for Bitcoin option block trades over the past 24 hours.

Example 2: Ethereum 48-Hour Trade Flow

eth_heatmap = HeatMap(asset='ETH', lookback_hours=12)
eth_heatmap.plot_data()

Generates and saves a heatmap for Ethereum option block trades over the past 12 hours.

To use the HeatMap class, ensure you have the following Python libraries installed. You can install all required dependencies via pip with this command:

pip install pandas numpy requests matplotlib seaborn

This script provides an insightful visualization of the block option trades on Deribit for BTC and ETH, aiding in the analysis of market trends and trader behavior.