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startrader

This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm.

startup_press_release_analyzer

Capstone Project for Galvanize Data Science Immersive Program: Startup Press Release Analyzer

stock-analysis-engine

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

stock-prediction-models

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

stock-price-forecasting

stock_predict_with_lstm

Predict stock with LSTM supporting pytorch, keras and tensorflow

stock_prediction_hybrid_model

A hybrid of ANN, RNN and Regressor models to predict stock prices

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 use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stocksharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins and options).

stocksight

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

stocktrading-rl

Exploring actor critic deep reinforcement learning methods for maximizing profits by learning stock trading strategies

stopwords-json

Stopwords for 50 languages in JSON format

stopwords-zh

Chinese stopwords collection

style-swap

code for "Fast Patch-based Style Transfer of Arbitrary Style"

summarize.py

A python script for summarizing articles using nltk

synonyms

中文近义词工具包

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

tbase

Baselines of reinforcement learning trading agents for China stock market

tensorbox

Object detection in TensorFlow

tensorflow-on-raspberry-pi

TensorFlow for Raspberry Pi

tensorflow_object_tracking_video

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

textgrocery

A simple short-text classification tool based on LibLinear

textsum

Preparing a dataset for TensorFlow text summarization (TextSum) model.

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

time-nlp

中文语句中的时间语义识别。即通过分析中文语句，识别出话语中提到的时间。

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.

trading-bot

Stock Trading Bot using Deep Q-Learning

trading-rl

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

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