zoonek / 2025-sharpe-ratioLinks
Code for the paper "How to use the Sharpe ratio"
☆56Updated this week
Alternatives and similar repositories for 2025-sharpe-ratio
Users that are interested in 2025-sharpe-ratio are comparing it to the libraries listed below
Sorting:
- Python implementation of pricing analytics and Monte Carlo simulations for stochastic volatility models including log-normal SV model, He…☆189Updated 2 months ago
- Using Dask, a Python framework, I handle 900 million rows of S&P E-mini futures trade tick data directly on a local machine. Through expl…☆41Updated last year
- Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.☆121Updated last year
- Statistical Jump Models in Python, with scikit-learn-style APIs☆115Updated 10 months ago
- Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.☆269Updated last week
- ☆146Updated last year
- Portfolio Construction and Risk Management book's Python code.☆148Updated last month
- Python library for asset pricing☆122Updated last year
- This repository contains different tools to simulate underlyings under SV dynamics. As well, we have implemented several tools for comput…☆124Updated last month
- Feature Engineering and Feature Importance in Machine Learning for Financial Markets☆191Updated last year
- ☆141Updated 2 years ago
- Entropy Pooling in Python with a BSD 3-Clause license.☆41Updated last year
- Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (includi…☆125Updated 9 months ago
- Algo Trading Research & Documentation☆22Updated 4 months ago
- Macrosynergy Quant Research☆161Updated 2 weeks ago
- Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.☆134Updated last year
- Code to accompany the paper "VolGAN: a generative model for arbitrage-free implied volatility surfaces"☆98Updated 8 months ago
- Implementation of optimisation analytics for constructing and backtesting optimal portfolios in Python☆58Updated last week
- To classify trades into buyer- and seller-initiated.☆154Updated 2 years ago
- Neural network local volatility with dupire formula☆79Updated 4 years ago
- Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fouri…☆88Updated 3 years ago
- Code for the paper Volatility is (mostly) path-dependent☆69Updated last year
- Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. G…☆74Updated 5 years ago
- Implementation of the vanilla Deep Hedging engine☆298Updated 2 years ago
- CS7641 Team project☆97Updated 5 years ago
- Quant Research☆93Updated 2 weeks ago
- A Python implementation of the rough Bergomi model.☆133Updated 7 years ago
- Low Latency Interest Rate Markets – Theory, Pricing and Practice☆243Updated 9 months ago
- Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices☆121Updated last month
- Financial AI with Python☆96Updated last week