docstr: get_risk_degree
  Return the proportion of your total value you will use in investment.
  Dynamically risk_degree will result in Market timing.
docstr_tok: ["get_risk_degree","Return","the","proportion","of","your","total","value","you","will","use","in","investment",".","Dynamically","risk_degree","will","result","in","Market","timing","."]
code: def get_risk_degree(self, trade_step=None):
      """get_risk_degree
      Return the proportion of your total value you will use in investment.
      Dynamically risk_degree will result in Market timing.
      """
      # It will use 95% amount of your total value by default
      return self.risk_degree
  
imports: import os
  import copy
  import warnings
  import numpy
  import pandas
  from typing import Dict, List, Text, Tuple, Union
  from abc import ABC
  from qlib.data import D
  from qlib.data.dataset import Dataset
  from qlib.model.base import BaseModel
  from qlib.strategy.base import BaseStrategy
  from qlib.backtest.position import Position
  from qlib.backtest.signal import Signal, create_signal_from
  from qlib.backtest.decision import Order, OrderDir, TradeDecisionWO
  from qlib.log import get_module_logger
  from qlib.utils import get_pre_trading_date, load_dataset
  from qlib.contrib.strategy.order_generator import OrderGenerator, OrderGenWOInteract
  from qlib.contrib.strategy.optimizer import EnhancedIndexingOptimizer
label_desc: Use image node_id 2 for calling the BaseSignalStrategy obj's underlying member method code with example usage: obj.get_risk_degree(trade_step) and returns: self