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CQF Ready final Projects solutions guide available in the areas mentioned below : Credit Spread for a Basket Product (CR) coding in Python.

Deep Learning for Financial Time Series (DL) coding in Python.

Pairs Trading Strategy Design & Back test (TS) coding in python.

Portfolio Construction using Black-Litterman Model and Factors (PC) coding in python.

Blending Ensemble for Classification (ML) coding in python.

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1. Credit Spread for a Basket Product (CR)
2. Deep Learning for Financial Time Series (DL)
3. Pairs Trading Strategy Design & Back test (TS)
4. Portfolio Construction using Black-Litterman Model and Factors (PC)
5. Optimal Hedging with Advanced Greeks (DH)
6. Blending Ensemble for Classification (ML)
7. Algorithmic Trading for Reversion and Trend-Following (AL)
8. Deep Neural Networks for Solving High Dimensional PDEs (DN)

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