code: """Create and save random price data"""
  from random import random
  import os
  from datetime import datetime, timedelta
  import pandas as pd  # type: ignore
  
  
  def random_walker(data_length: int):
      """Create a random walk data list"""
      # seed(1)
      random_walk = list()
      random_walk.append(-1 if random() < 0.5 else 1)  # nosec
      for i in range(0, data_length):
          movement = -1 if random() < 0.5 else 1  # nosec
          value = random_walk[i] + movement
          random_walk.append(value)
      return random_walk
  
  
  def load_data(filename: str, offset: float, variance: float):
      """Load the created price curve from file"""
      if not os.path.exists(filename):
          # prob = [0.05, 0.95]
          data_length = 1000
          positions = random_walker(data_length)
  
          date_today = datetime.now()
          minutes = pd.date_range(
              date_today, date_today + timedelta(0, 60 * data_length), freq='min')
          data = pd.DataFrame({'Coin1': positions}, index=minutes)
          data["Coin1"] = offset + data["Coin1"] * variance
          data.to_pickle(filename)
      else:
          data = pd.read_pickle(filename)
  
      return data
  
  
  def load_csv_data(filename: str, offset: float, variance: float):
      """Load the created price curve from csv file"""
      if not os.path.exists(filename):
          # prob = [0.05, 0.95]
          data_length = 1000
          positions = random_walker(data_length)
  
          date_today = datetime.now()
          minutes = pd.date_range(
              date_today, date_today + timedelta(0, 60 * data_length), freq='min')
          data = pd.DataFrame({'Coin1': positions}, index=minutes)
          data["Coin1"] = offset + data["Coin1"] * variance
          data.to_csv(filename)
      else:
          data = pd.read_csv(filename)
  
      return data
  
apis: pandas.read_csv pandas.read_pickle pandas.DataFrame