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Quantitative analysis, from data processing and trading signal generation to portfolio management. Using machine learning to generate trading signals.
Alpaca Trading API integrated with backtrader
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
AWS Certified Solutions Architect - Associate
My notes / works on deep learning from Coursera
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
A collection of various deep learning architectures, models, and tips
Notebooks from the Quantinsti EPAT program
EPAT project batch41 on Machine L earning for Trading using Random Forest Regression to predict prices based on a number of price indicators and Twitter sentiment Analysis
This is the final project implemented during EPAT. It backtests a pairs trading strategy for commodities trading on MCX.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
A curated list of practical financial machine learning (FinML) tools and applications in Python.
Collection of notebooks about quantitative finance, with interactive python code.
To learb git
Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
Python Options Pricing Library
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Neural Network Refresher | Natural Language Processing | LSTM
Realtime Data From National Stock Exchange (India)
Python codes used in book 'Option Greeks Strategies & Backtesting in Python'
Deep learning-based quantitative investment
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Implementations of Leading Algorithms in Quantitative Finance
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
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.