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Python Jupyter Notebooks for Financial Portfolio Optimization
Python library for PowerBI
Cython QuantLib wrappers
PyQuant can price bonds, swaps, interest rate, equity and credit derivatives. It is build on top of pandas, numpy and scipy and is relatively fast. Time critical components are written in Cython in order to achieve C-speed. PyQuants aims to build on top of other open source projects in order to benefit from improvements in other projects so that PyQuant can be developed with very few people.
Репозиторий содержит коды программного комплекса "Пиргос" (разработан в при поддержке РФФИ в рамках проекта 15-32-01390), направленного на регистрацию в ФГБУ «Федеральный институт промышленной собственности», заявление № 252062129. The repository contains the code and libraries for Pyrgos solution for market calibration, risk management and option pricing. The code and algorithms provided are invented during the research supported by RFBR grant (project 15-32-01390)
SABR model Python implementation
Launched in 2018 Actively developed and supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom layout GUI's simply. Python 2.7 & 3 Support. 200+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Floating Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers .
A unique time series library in Python that consists of Kalman filters (discrete, extended, and unscented), online ARIMA, and time difference model.
a trading system of STIRs, like Euribor or Eurodollar futures
Framework for algorithmic trading strategy development
Systematic Trading in python
Examples using pysystemtrade for my blog qoppac.blogspot.com
Python library for performing computed technical analysis on stock data statistics. Inspired by TA-Lib.
Technical Analysis Library for CMSC5720
Code Blocks specific to VBA and Excel.
Python Algorithmic Trading Cookbook, published by Packt
Python-Automation-Cookbook-Second-Edition, published by Packt
Analyzing US Economic Data and Building a Dashboard
Short introduction to Python programming for Economics graduate students.
Python solutions to solve practical business problems.
Create and modify Word documents with Python
A collection of example python scripts. All material here is for educational purposes only.
Examples of using Python with Posit Connect
Python - Finance - Investing (Stock-market)
A prototype module for fixed income calculation in Python
Files for Udemy Course on Algorithms and Data Structures
Udemy - Python for Data Science and Machine Learning Bootcamp
Extracting essential data from a dataset and displaying it is a necessary part of data science; therefore individuals can make correct decisions based on the data. In this assignment, you will extract some essential economic indicators from some data, you will then display these economic indicators in a Dashboard. You have the option of hosting the Dashboard in IBM object Storage. Gross domestic product (GDP) is a measure of the market value of all the final goods and services produced in a period. GDP is an indicator of how well the economy is doing. A drop in GDP indicates the economy is producing less; similarly an increase in GDP suggests the economy is performing better.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.