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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Applications of Monte Carlo methods to financial engineering projects, in Python.
Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.
High-fidelity synthetic financial data generator using Heston Stochastic Volatility and Jump Diffusion.
A high-performance execution engine utilizing LLVM-based JIT compilation to optimize mission-critical data processing. Engineered to handle high-throughput financial transactions and real-time infrastructure analysis.