Simple python script for trading currency pair on forex.com

python_trader_for_medium_article_v1.py

from gcapi import GCapiClient # From https://github.com/rickykim93/gcapi-python
from gcapi.gcapi_tools import format_date # From https://github.com/rickykim93/gcapi-python
from datetime import datetime
from time import sleep
import numpy

def check_sell_criteria(prices):
  # TODO: Write your algorithm to detect sell condition here
  return False

def check_buy_criteria(prices):
  # TODO: Write your algorithm to detect buy condition here
  return False

# Current time
now = datetime.now()
dt_string = now.strftime("%Y-%m-%d-%H-%M-%S")
print("Program started at:", dt_string)

print("Authenticating...")
api = GCapiClient(username='YOUR_USERNAME', password='YOUR_PASSWORD',
                  appkey='YOUR_APP_KEY', proxies=None)
print("Authenticated successfully...")

print("Getting account information...")
response = api.get_account_info(get=None)
account_id = response['TradingAccounts'][0]['TradingAccountId']
print(response)

print("Requesting information on currency pair...")
currency_pair = 'USD/CNH'  # Currency pair we are going to trade
market_id = api.get_market_info(currency_pair, get=None)['Markets'][0]['MarketId']
print("Trading %s of id %s" % (currency_pair, market_id))

# Trading loop
while 1:
  # API endpoints may fail every once in a while and it should not stop code from looping again
  try:
    # Period of trading loop. In this case, runs every 10 seconds
    sleep(10)

    now = datetime.now()
    dt_string = now.strftime("%Y-%m-%d-%H-%M-%S")
    print("Starting loop at:", dt_string)

    # We don't trade on Fridays, Saturdays or Sundays
    if now.weekday() not in [0, 1, 2, 3]:
      print("Not a trading day. Restarting loop...")
      continue
      
    # Get a specified number of past price points
    response = api.get_prices(market_id=market_id, num_ticks=50)

    # Extract price points from response
    price_data = list(map(lambda p: p['Price'], response['PriceTicks']))
    price_current = price_data[-1]
    price_mean = numpy.mean(price_data)
    price_std = numpy.std(price_data)

    print('Current price is %s with mean %1.5f and std %1.5f. Timestamp from request %s.' % (
        price_current, price_mean, price_std, response['PriceTicks'][-1]))

    # Check our open positions
    response = api.list_open_positions(trading_acc_id=account_id)
    open_positions = response['OpenPositions']

    # This code is made to work with a single open position at a time.
    # If there is more than one open position, you will need to close it manually.
    if len(open_positions) > 1:
      print("ERROR! We have more than one open position...")
      continue

    elif len(open_positions) == 1:
      price_open_position = open_positions[0]['Price']
      # We should ONLY ever have 1 open position at a time
      print(response['OpenPositions'][0])
      print(
          "Already have open position. Checking if sell criteria has been met...")

      # Place a SELL order if criteria is met
      if check_sell_criteria(price_data):
        response = api.trade_order(1000, price_current, 'sell', trading_acc_id=account_id,
                                   market_id=market_id, market_name=currency_pair)

        print('SELL order has been placed!')
        print(response)

    # Place a BUY order if criteria is met
    elif check_buy_criteria(price_data):
      # Set acceptable bounds for take profit (automatic sell if price exceeds threshold) 
      # and stop loss (automatic sell if price drops below threshold).
      price_stop_loss = price_current * 0.995
      price_take_profit = price_current * 1.005

      response = api.trade_order(1000, price_current, 'buy', trading_acc_id=account_id, market_id=market_id,
                                 market_name=currency_pair, stop_loss=price_stop_loss, take_profit=price_take_profit)

      print('BUY order has been placed!')
      print(response)
  except Exception as e:
      print(e)