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Add CI workflow and cross-links to related repos
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.github/workflows/ci.yml

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name: CI
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on:
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push:
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branches: [main]
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pull_request:
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branches: [main]
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jobs:
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test:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ["3.10", "3.11", "3.12", "3.13"]
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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- run: pip install flashalpha responses pytest
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- run: pytest tests/test_unit.py -v

README.md

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# What is Gamma Exposure (GEX) and Why It Moves Markets
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[![CI](https://github.com/FlashAlpha-lab/gex-explained/actions/workflows/ci.yml/badge.svg)](https://github.com/FlashAlpha-lab/gex-explained/actions/workflows/ci.yml)
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This repository explains Gamma Exposure (GEX) from first principles — the math behind it, how it shapes market microstructure, and how to compute it yourself from a raw options chain. All code is runnable with publicly available data.
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```
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The API is at `https://lab.flashalpha.com`. Auth via `X-Api-Key` header. See [code/compare_with_api.py](code/compare_with_api.py) for a raw-requests example.
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---
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## Related Repositories
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- [FlashAlpha Python SDK](https://github.com/FlashAlpha-lab/flashalpha-python)`pip install flashalpha`
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- [0DTE Options Analytics](https://github.com/FlashAlpha-lab/0dte-options-analytics) — 0DTE pin risk, expected move, dealer hedging
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- [Volatility Surface Python](https://github.com/FlashAlpha-lab/volatility-surface-python) — SVI, variance swap, skew analysis
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- [Examples](https://github.com/FlashAlpha-lab/flashalpha-examples) — more tutorials
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- [Awesome Options Analytics](https://github.com/FlashAlpha-lab/awesome-options-analytics) — curated resource list

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