code: def initialize(context):
      # This initialize function sets any data or variables that you'll use in
      # your algorithm.  For instance, you'll want to define the trading pair (or
      # trading pairs) you want to backtest.  You'll also want to define any
      # parameters or values you're going to use.
  
      # In our example, we're looking at Neo in Ether.
      context.market = symbol("eth_btc")
      context.base_price = None
      context.current_day = None
  
      context.RSI_OVERSOLD = 50
      context.RSI_OVERBOUGHT = 60
      context.CANDLE_SIZE = "5T"
  
      context.start_time = time.time()
  
      context.set_commission(maker=0.001, taker=0.002)
  
file_path: catalyst/catalyst/examples/mean_reversion_simple_custom_fees.py
imports: import os
  import tempfile
  import time
  import numpy
  import pandas
  import talib
  from logbook import Logger
  from catalyst import run_algorithm
  from catalyst.api import symbol, record, order_target_percent, get_open_orders
  from catalyst.exchange.utils.stats_utils import extract_transactions
  from catalyst.utils.paths import ensure_directory
label_desc: Use image node_id 1 for calling a global function with example usage: initialize(context) without return types