Quant/Algorithm trading resources with an emphasis on Machine Learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Quant-UX - Prototype, Test and Learn

本仓库面向所有对量化分析或开发感兴趣的量化交易从业者，提供系统性学习量化开发的技术路线，从数据获取、策略开发、回测系统到实盘部署。

:books: Quant 教程整理

This code is for the book

No description available

This is the code for "Quantum Machine Learning" By Siraj Raval on Youtube

learn python ,learn quant

Study resources for learning quantum computing

No description available

No description available

Learn Quantum Computing with Python and IBM Quantum Experience, published by Packt

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

This Repository contains link to all the free resources to learn Quantum Computing, Maths, Physics etc.

A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt

使用Python进行量化投资的学习报告

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boosted tree model.

A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.

This repo is to contain material from the University of Toronto Quantum Machine Learning Course by Prof. Peter Wittek on edX

Learn Quantum Machine Learning

This is the code for "Quantum Machine Learning LIVE" By Siraj Raval on Youtube

Quantum Machine Learning is Quantum Computing + Machine Learning 🧠. There are various benefits associated with using QML: It helps to speed up the training process, working on high dimensional data is possible and more 📊.

聚宽网量化投资策略编写的学习文档

[iewoai]量化投资学习，多因子、三因子、五因子、索罗斯投资策略

This project is one of the Qiskit mentorship programs to replicate two papers arXiv:1905.10876 and arXiv:2003.09887 using the Qiskit environment. We evaluate the parameterized quantum circuit, reproduce the expressibility and entangling capability of the 19 circuits, and the classification accuracy.

Work on Evidential Deep Learning to Quantify Classification Uncertainty

StudyQuant- Quant Finance code and vedios. Help you to learn Quantatitive Trading. 提供学习量化交易的代码和视频，帮助你快速学习量化。

💰Step by steps to explore and analysis the data, build model by utilizing machine learning model or deep learning model, the tools include numpy, pandas,scipy,sklearn,tensorflow etc, or big data analysis with Apache Spark.

Learn Qiskit with Qiskit Textbook