The full exposure stack, which includes DEX (Directional Dealer Exposure), VEX (Vanna Exposure), and CHEX (Charm Exposure) in addition to GEX (Gamma Exposure), provides a comprehensive view of the forces driving market dynamics. Here's an overview of each metric along with example Python code snippets for integrating them into your analysis:
1. DEX: Directional Dealer Exposure
Endpoint: /v1/exposure/dex/{symbol}
What It Measures: Shows which direction dealer hedging pushes price.
Why It Matters: Provides insight into the directional bias of market makers, indicating whether they are more likely to push prices up or down through their hedging activities.
python1import finnhub 2 3finnhub_client = finnhub.Client(api_key="YOUR_API_KEY") 4symbol = "SPY" 5 6# Get DEX for SPY 7dex_data = finnhub_client.exposure_dex(symbol) 8print(dex_data)
2. VEX: Vanna Exposure
Endpoint: /v1/exposure/vex/{symbol}
What It Measures: Vanna exposure (delta sensitivity to implied volatility).
Why It Matters: Explains the "
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