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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

autoalpha

The source code for the paper

black-litterman-model

使用Python复现Black-Litterman模型。Black-Litterman模型创造性地采用贝叶斯方法将投资者对预期收益的主观看法与资产的市场均衡收益相结合，有效地解决了Markowitz均值-方差模型中投资者难以准确估计各个投资品种预期收益率、以及其权重对预期收益率的极度敏感性这两大问题。本项目使用美国市场2009年-2019年十年间的10只股票数据进行回测，证明了合理观点对资产组合收益率具有显著的正面影响效果。

breakout

identify stock breakouts

code_snippets

deep-forecast

Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject

deeplearningbook-chinese

Deep Learning Book Chinese Translation

drl-flappybird

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

efficient_frontier

上证50成分股、马科维茨有效前沿、CML、资本市场线、最高夏普比率、最低风险

event-driven-based-backtesting-framework-

Event Driven based Backtesting Framework

event_driven_framework_for_backtesting

It is suitable for beginners

finml

FinML: A Practical Machine Learning Framework for Dynamic Stock Selection

gan-tensorflow

Implement Generative Adversarial Nets by Tensorflow

grid_trading

Tushare数据源，网格策略，年化轻松10%以上；Grid Trading with Tushare; Annual Percentage Rate >10% tested on Ping An Insurance（Group）Company of China since 2018;

hiddenmarkovmodel

Code for the Hidden Markov Model Tutorial Series

image-style-transfor

照片风格转换 项目主要参考Anish Athalye的Github项目 该项目是基于TensorFlow进行的视频图像转化，参考neural style这篇文章。

intelligent-position-controller-with-web-crawler

1. Get data from websites by using Xpath. 2.Calculate the volatility of the index with ATR indicator. 3 Compute the maximal allowed position in terms of the ATR

models

Models built with TensorFlow

neural-doodle

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

neural-style-tf

TensorFlow (Python API) implementation of Neural Style

proxtv

Matlab and Python toolbox for fast Total Variation proximity operators

py-findpeaks

Overview of the peaks dectection algorithms available in Python

python-conv2d

2D image convolution example in Python

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

scikit-image

Image Processing SciKit (Toolbox for SciPy)

secondlevelthinking

The source data for paper Second Level Thinking

smarttrading

A Novel Reinforcement Learning Framework for Quantitative Trading in Noisy Markets

support_resistance

Small package that helps to find support and resistance levels and plot them on chart

support_resistance_line

A well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线

szy1900.github.io

Great ocean road markt data analysis platform. Data srouce from InsideAirbnb