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Web based Stock Analysis with Quantopian Zipline and Django
Python 10.29%
HTML 2.75%
Shell 0.07%
CSS 22.23%
JavaScript 29.40%
Jupyter Notebook 35.25%
findmore's Introduction
FindMore - Web based Stock Analysis
1. Mean Reversion Analysis - Augmented Dickey Fuller Test, Hurst exponent, Half Life, Quantile
2. Mean Reversion Analysis with Google Data Studio
- Django의 MySQL 데이터베이스를 Google Data Studio의 데이터 소스로 등록 필요
- findmore 데이터베이스의 Mean Reversion Analysis 앱 테이블(mra_mra_list)의 데이터를 소스로 사용함
- 데이터 소스 등록 후에 보고서 생성 필요
3. Buy(regularly) and Hold - Zipline Backtest
4. Simple Moving Average - Zipline Backtest
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