OpenKF
Financial-Models-Numerical-Methods
OpenKF | Financial-Models-Numerical-Methods | |
---|---|---|
1 | 3 | |
86 | 5,274 | |
- | - | |
6.6 | 6.2 | |
12 days ago | 3 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
OpenKF
-
Tutorials for Kalman Filters
GitHub: https://github.com/Al-khwarizmi-780/OpenKF
Financial-Models-Numerical-Methods
-
Pricing models - which do MMs use these days
If you have experience with Python, here is a great repo: https://github.com/cantaro86/Financial-Models-Numerical-Methods If you don't know Python, I suggest you learn. It's one of the easier languages to learn. The course below will teach you everything you need to get started. https://www.youtube.com/watch?v=rfscVS0vtbw
-
Ask HN: Best Resources on (Computational) Finance
I found this collection of Jupyter notebooks really well done. Some basic knowledge in stochastic calculus, financial mathematics and statistics is needed.
https://github.com/cantaro86/Financial-Models-Numerical-Meth...
- Classical portfolio optimization in a Python notebook
What are some alternatives?
dynamax - State Space Models library in JAX
machine_learning_basics - Plain python implementations of basic machine learning algorithms
open-space-toolkit - Collection of versatile software libraries for space engineering applications.
rmi - A learned index structure
AlgoBook - A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
Quantsbin - Quantitative Finance tools
The-Complete-FAANG-Preparation - This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
hca-resources - zipline-broker Examples. Full notebooks plus python code for long term investment strategies using zipline based tools.
SDE - Example codes for the book Applied Stochastic Differential Equations