Metadata-Version: 2.1
Name: rainiee-decision-engine
Version: 2.1.0
Summary: rainiee decision engine api
Home-page: https://github.com/Rainiee-Technology/rainiee_algorithm
Author: rainiee
Author-email: rainiee@163.com
License: MIT
Platform: UNKNOWN
Requires-Python: >=3
Description-Content-Type: text/markdown

rainiee_decision_engine
===============
* easy to use as most of the data returned are json 

Installation
--------------

    pip install rainiee_decision_engine==2.1.0
    from rainiee_decision_engine.decision_engine_client import DecisionEngineClient
    rainiee_client = DecisionEngineClient(username,password)

Upgrade
---------------

    pip install rainiee_decision_engine==2.0.0 --upgrade

Quick Start
--------------

algorithm 

        1: algorithm_solve_vanilla_mvo
              symbol_list = ['300370.sz','300102.sz','300345.sz']
              rainiee_client.algorithm_solve_vanilla_mvo(symbol_list,2350,2360)
        2: algorithm_solve_maximize_sharpe
              symbol_list = ['300370.sz','300102.sz','300345.sz']
              rainiee_client.algorithm_solve_maximize_sharpe(symbol_list,2350,2360)
        3: algorithm_solve_vanilla_mvo_realtime
              symbol_list = ['300370.sz','300102.sz','300345.sz']
              rainiee_client.algorithm_solve_vanilla_mvo_realtime(symbol_list,2350,2360)
        4: monitoring_baseline
              portf = [{'percentage': 1.0, 'symbol': '300547.sz'}, {'percentage': 0.5, 'symbol': '300647.sz'}]
              hold_index = 2530
              hold_period = 5
              rainiee_client.monitoring_baseline(portf,hold_index,hold_period)
        5: cn_stockstats_returns_matrix
              symbol_list =['300370.sz','300102.sz','300345.sz','300341.sz','300806.sz','300249.sz','300727.sz','300373.sz','300808.sz',
              '300474.sz','300805.sz','300803.sz']
              rainiee_client.cn_stockstats_returns_matrix(symbol_list,2581,2581)

        6: trade_execute_order
              rainiee_client.trade_execute_order('300647.sz',2500,'buy',15)


