richon0276

alphalens

Performance analysis of predictive (alpha) stock factors

AWSCertifiedSolutionsArchitectUnofficialStudyGuide

비공식 AWS 공인 솔루션스 아키텍트 – 어소시에이트 시험 가이드

bt

bt - flexible backtesting for Python

Data-Analysis

Data Analysis Using Python

deepstock

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

DeepTimeSeries

A Keras-based library for analysis of time series data using deep learning algorithms.

demo-spark-analytics

Demo about realtime analytics of user behavior using elk stack/apache spark streaming+mllib/redis/slamdata

FinanceDataReader

Financial price data reader (an alternative to google finance and yahoo finance in pandas-datareader)

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

first_repository

First Sample

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

kiwoom-2

kw_condition

키움 증권 조건 검색식 사용 Console App

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

PyTrader

파이썬을 이용한 시스템 트레이딩

PyTrader-1

System Trading using Kiwoom OpenAPI+

qstrader

QuantStart.com - Advanced Trading Infrastructure

rltrader

파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문

RocAlphaGo

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

RTS_Practice

Stock-Analysis

Regression, Scrapers, and Visualization

stock-analyzer

주식 정보 분석툴

Stock-Market-Probabilities-Deep-Learning

Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Stock-Selection-a-Framework

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

stock_analysis

My stock analysis tools.

stockdataprocessing

Stock data analysis

TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

trading-with-python

Automatically exported from code.google.com/p/trading-with-python