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ad_mania

A system for serving up ads from affiliate platforms.

ad_mania_backend

clicktracker

Tracking mobile client clicks for campaigns

clicktracker-1

django-newsletter

An email newsletter application for the Django web application framework, including an extended admin interface, web (un)subscription, dynamic e-mail templates, an archive and HTML email support.

enshineunionmanager

三级分销APP后台及接口

factor_model

Production ready prototype factor model, alpha factors based on hypothesis proposed in the paper Overnight Returns and Firm-Specific Investor Sentiment by David Aboody et al

finance-python-projects

h2oaffiliateplatform

Simple, Secure and Fast Dating Affiliate Platform using H2O Framework (like H2OGame https://github.com/pH-7/H2OGame) coding on good practice on MVC pattern and with 100% code language seperation (PHP code only in PHP files, SQL only in SQL code, HTML code only in HTML files, CSS only in CSS files, JS code only in JS files)

highfrequencytradingsvms

This project implements a high frequency trading strategy that utilizes Support Vector Machines to capture statistical arbitrage in the pricing of Class A and Class C Google stocks.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

mailing-tool

Phalcon based proprietary newsletter mailing and campaigning tool

mlfinlab

public version of MLFINLAB from Hudson-Thames

mlfinlab-1

models

Models built with TensorFlow

modern-ecommerce

Enterprise Modern E-commerce: Spring Boot, Spring data REST APIs + AngularJS/Bootstrap

mootdx

通达信数据读取的一个简便使用封装

multi-factor-gm-wind-joinquant

基于掘金+万得+聚宽的多因子策略开发框架

phplist3

open source newsletter and permission email-marketing manager

pytdx

Python tdx数据接口

quantitative-analysis

量化研究-券商金工研报复现

quantsplaybook

量化研究-券商金工研报复现

shopizer

Shopizer java e-commerce software

smartqqbot

基于SmartQQ的自动机器人框架

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us

thsauto

同花顺自动下单工具

trading-rules-using-machine-learning

A financial trading method using machine learning.

trading-rules-using-machine-learning-1

A financial trading method using machine learning.

weixinmall