rainiee_decision_engine

• easy to use as most of the data returned are json

Installation

pip install rainiee_decision_engine_test==2.2.0
from rainiee_decision_engine_test.decision_engine_client import DecisionEngineClient
rainiee_client = DecisionEngineClient(username,password)

Upgrade

pip install rainiee_decision_engine_test --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)