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a-stock-prediction-system-with-deep-learning

Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance of predictions.

bookshare

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

gan_bar

use GAN on stock bars

gan_stock_simulation

gans_stockprediction

Stock prediciton using gans

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

leanchat-cloudcode

LeanChat 相关的云代码

leanchat-ios

用 LeanCloud 实时通信组件做的社交应用 LeanChat

mailchimp-email-templates

Responsive email templates for MailChimp

marketgan

Implementing a Generative Adversarial Network on the Stock Market

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

poi

百度以及高德地图POI数据和POI边界坐标数据(目前仅限百度)爬取代码，采用Python编写

quantitative-algo-trading

The proposed system helps the people in the stock market business and make it easy for them to decide where to invest their valuable money and what is the best time to sell the stocks they own. The data will be provided by the Alpha Vantage API which provides current data of any NASDAQ listed company with their stock values and past performances. It also provides years worth of data whenever needed. The system is intended to distributed under the MIT License.

seqgan_tensorflow_stock_predict

Please run python train.py to predict time series.

stock-movement--predict-a-5--rise-in-10-days-with-gan

stock-predection-deeplearning

I've created a method for estimating stock with deep learning use LSTM and GANS with Tensorflow

stockmarketgan

Stock Market Prediction Using Unsupervised Features

stockmarketgan-1

Stock Market Prediction Using Unsupervised Features

thinkcmf

ThinkCMF5 is a content manage framework ,based on ThinkPHP5

time-series-forecasting-of-amazon-stock-prices-using-neural-networks-lstm-and-gan-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

time-series-prediction-with-gan

stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)

vz

微转 iOS客户端，用 LeanCloud 做的数码设备二手交易平台

webstockpredict

基于Web的股票预测系统