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@@ -290,6 +290,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [QuantLibRisks](https://github.com/auto-differentiation/QuantLib-Risks-Py) - `Python` - Fast risks with QuantLib.
 - [XAD](https://github.com/auto-differentiation/xad-py) - `Python` - Automatic Differentation (AAD) Library.
 - [pyfolio](https://github.com/quantopian/pyfolio) - `Python` - Portfolio and risk analytics in Python.
+- [etfray](https://github.com/alwank/etfray) - `Python` - Terminal-based ETF research and portfolio analytics application for holdings, exposure, concentration, margin, and risk workflows.
 - [empyrical](https://github.com/quantopian/empyrical) - `Python` - Common financial risk and performance metrics.
 - [fecon235](https://github.com/rsvp/fecon235) - `Python` - Computational tools for financial economics include: Gaussian Mixture model of leptokurtotic risk, adaptive Boltzmann portfolios.
 - [finance](https://pypi.org/project/finance/) - `Python` - Financial Risk Calculations. Optimized for ease of use through class construction and operator overload.