426 lines
17 KiB
Python
426 lines
17 KiB
Python
import datetime
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import logging
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import os
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import tempfile
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from base64 import urlsafe_b64encode
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import simplejson as json
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from requests import post
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from freqtrade.optimize.backtesting import Backtesting
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def backtest(event, context):
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"""
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this method is running on the AWS server
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and back tests this application for us
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and stores the back testing results in a local database
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this event can be given as:
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:param event:
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{
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'strategy' : 'url handle where we can find the strategy'
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'stake_currency' : 'our desired stake currency'
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'asset' : '[] asset we are interested in.
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'username' : user who's strategy should be evaluated
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'name' : name of the strategy we want to evaluate
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'exchange' : name of the exchange we should be using
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}
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it should be invoked by SNS only to avoid abuse of the system!
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:param context:
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standard AWS context, so pleaes ignore for now!
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:return:
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no return
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"""
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from boto3.dynamodb.conditions import Key
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from freqtrade.aws.tables import get_strategy_table
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if 'Records' in event:
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for x in event['Records']:
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if 'Sns' in x and 'Message' in x['Sns']:
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event['body'] = json.loads(x['Sns']['Message'])
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name = event['body']['name']
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user = event['body']['user']
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table = get_strategy_table()
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response = table.query(
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KeyConditionExpression=Key('user').eq(user) &
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Key('name').eq(name)
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)
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till = datetime.datetime.today()
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fromDate = till - datetime.timedelta(days=90)
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if 'days' in event['body']:
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fromDate = till - datetime.timedelta(days=event['body']['days'])
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else:
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if 'from' in event['body']:
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fromDate = datetime.datetime.strptime(event['body']['from'], '%Y%m%d')
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if 'till' in event['body']:
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till = datetime.datetime.strptime(event['body']['till'], '%Y%m%d')
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timerange = (till - fromDate).days
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# by default we refresh data
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refresh = True
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if 'refresh' in event['body']:
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refresh = event['body']['refresh']
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print("time range between dates is: {} days".format(timerange))
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try:
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if "Items" in response and len(response['Items']) > 0:
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print("schedule back testing from {} till {} for {} with {} vs {}".format(fromDate, till, name,
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event['body'][
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'stake_currency'],
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event['body'][
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'assets']))
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configuration = _generate_configuration(event, fromDate, name, response, till, refresh)
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ticker = response['Items'][0]['ticker']
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if "ticker" in event['body']:
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ticker = event['body']['ticker']
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print("using ticker of {}".format(ticker))
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if "local" in event['body'] and event['body']['local']:
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print("running in local mode")
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run_backtest(configuration, name, user, ticker, timerange)
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else:
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print("running in remote mode")
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json.dumps(_submit_job(configuration, user, ticker, timerange))
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return {
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"statusCode": 200
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}
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else:
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return {
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"statusCode": 404,
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"body": json.dumps({
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"error": "sorry we did not find any matching strategy for user {} and name {}".format(
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user, name)})
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}
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except ImportError as e:
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return {
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"statusCode": 500,
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"body": json.dumps({"error": e})
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}
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else:
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raise Exception("not a valid event: {}".format(event))
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def _submit_job(configuration, user, interval, timerange):
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"""
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submits a new task to the cluster
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:param configuration:
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:param user:
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:return:
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"""
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import boto3
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configuration = urlsafe_b64encode(json.dumps(configuration).encode('utf-8')).decode('utf-8')
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# fire AWS fargate instance now
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# run_backtest(configuration, name, user)
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# kinda ugly right now and needs more customization
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client = boto3.client('ecs')
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response = client.run_task(
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cluster=os.environ.get('FREQ_CLUSTER_NAME', 'fargate'), # name of the cluster
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launchType='FARGATE',
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taskDefinition=os.environ.get('FREQ_TASK_NAME', 'freqtrade-backtesting:1'),
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count=1,
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platformVersion='LATEST',
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networkConfiguration={
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'awsvpcConfiguration': {
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'subnets': [
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# we need at least 2, to insure network stability
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os.environ.get('FREQ_SUBNET_1', 'subnet-c35bdcab'),
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os.environ.get('FREQ_SUBNET_2', 'subnet-be46b9c4'),
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os.environ.get('FREQ_SUBNET_3', 'subnet-234ab559'),
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os.environ.get('FREQ_SUBNET_4', 'subnet-234ab559')],
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'assignPublicIp': 'ENABLED'
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}
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},
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overrides={"containerOverrides": [{
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"name": "freqtrade-backtest",
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"environment": [
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{
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"name": "FREQ_USER",
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"value": "{}".format(user)
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},
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{
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"name": "FREQ_CONFIG",
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"value": "{}".format(configuration)
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},
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{
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"name": "FREQ_TICKER",
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"value": "{}".format(interval)
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},
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{
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"name": "FREQ_TIMERANGE",
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"value": "{}".format(timerange)
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}
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]
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}]},
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)
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return response
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def run_backtest(configuration, name, user, interval, timerange):
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"""
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this backtests the specified evaluation
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:param configuration:
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:param name:
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:param user:
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:param interval:
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:param timerange:
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:return:
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"""
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configuration['ticker_interval'] = interval
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backtesting = Backtesting(configuration)
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result = backtesting.start()
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# store individual trades
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_store_trade_data(interval, name, result, timerange, user)
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# store aggregated values
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_store_aggregated_data(interval, name, result, timerange, user)
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return result
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def _store_aggregated_data(interval, name, result, timerange, user):
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for row in result[1][2]:
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if row[1] > 0:
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data = {
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"id": "{}.{}:{}:{}:test".format(user, name, interval, timerange),
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"trade": "aggregate:{}".format(row[0].upper()),
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"pair": row[0],
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"trades": row[1],
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"losses": row[6],
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"wins": row[5],
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"duration": row[4],
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"profit_percent": row[2],
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}
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print(data)
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try:
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print(
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post("{}/trade".format(os.environ.get('BASE_URL', 'https://freq.isaac.international/dev')),
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json=data))
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except Exception as e:
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print("submission ignored: {}".format(e))
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def _store_trade_data(interval, name, result, timerange, user):
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for index, row in result[0].iterrows():
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data = {
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"id": "{}.{}:{}:{}:{}:test".format(user, name, interval, timerange, row['currency'].upper()),
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"trade": "{} to {}".format(row['entry'].strftime('%Y-%m-%d %H:%M:%S'),
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row['exit'].strftime('%Y-%m-%d %H:%M:%S')),
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"pair": row['currency'],
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"duration": row['duration'],
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"profit_percent": row['profit_percent'],
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"profit_stake": row['profit_BTC'],
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"entry_date": row['entry'].strftime('%Y-%m-%d %H:%M:%S'),
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"exit_date": row['exit'].strftime('%Y-%m-%d %H:%M:%S')
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}
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print(data)
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try:
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print(
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post("{}/trade".format(os.environ.get('BASE_URL', 'https://freq.isaac.international/dev')),
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json=data))
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except Exception as e:
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print("submission ignored: {}".format(e))
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return data
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def _generate_configuration(event, fromDate, name, response, till, refresh):
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"""
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generates the configuration for us on the fly
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:param event:
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:param fromDate:
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:param name:
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:param response:
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:param till:
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:return:
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"""
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content = response['Items'][0]['content']
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configuration = {
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"max_open_trades": 1,
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"stake_currency": event['body']['stake_currency'].upper(),
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"stake_amount": 1,
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"fiat_display_currency": "USD",
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"unfilledtimeout": 600,
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"trailing_stop": response['Items'][0]['trailing_stop'],
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"bid_strategy": {
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"ask_last_balance": 0.0
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},
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"exchange": {
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"name": response['Items'][0]['exchange'],
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"enabled": True,
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"key": "key",
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"secret": "secret",
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"pair_whitelist": list(
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map(lambda x: "{}/{}".format(x, response['Items'][0]['stake_currency']).upper(),
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response['Items'][0]['assets']))
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},
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"telegram": {
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"enabled": False,
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"token": "token",
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"chat_id": "0"
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},
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"initial_state": "running",
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"datadir": tempfile.gettempdir(),
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"experimental": {
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"use_sell_signal": response['Items'][0]['use_sell'],
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"sell_profit_only": True
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},
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"internals": {
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"process_throttle_secs": 5
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},
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'realistic_simulation': True,
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"loglevel": logging.INFO,
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"strategy": "{}:{}".format(name, content),
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"timerange": "{}-{}".format(fromDate.strftime('%Y%m%d'), till.strftime('%Y%m%d')),
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"refresh_pairs": refresh
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}
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return configuration
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def cron(event, context):
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"""
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this functions submits all strategies to the backtesting queue
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:param event:
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:param context:
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:return:
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"""
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import boto3
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from freqtrade.aws.tables import get_strategy_table
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# if topic exists, we just reuse it
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client = boto3.client('sns')
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topic_arn = client.create_topic(Name=os.environ['topic'])['TopicArn']
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table = get_strategy_table()
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response = table.scan()
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def fetch(response, table):
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"""
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fetches all strategies from the server
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technically code duplications
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TODO refacture
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:param response:
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:param table:
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:return:
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"""
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for i in response['Items']:
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# fire a message to our queue
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# we want to evaluate several time spans for the strategy
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for day in [1, 7, 30, 90]:
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# we want to evaluate several time intervals for each strategy
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for interval in ['5m', '15m', '30m', '1h']:
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message = {
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"user": i['user'],
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"name": i['name'],
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"assets": i['assets'],
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"stake_currency": i['stake_currency'],
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"local": False,
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"refresh": True,
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"ticker": interval,
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"days": day
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}
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serialized = json.dumps(message, use_decimal=True)
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# submit item to queue for routing to the correct persistence
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result = client.publish(
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TopicArn=topic_arn,
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Message=json.dumps({'default': serialized}),
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Subject="schedule",
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MessageStructure='json'
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)
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if 'LastEvaluatedKey' in response:
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return table.scan(
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ExclusiveStartKey=response['LastEvaluatedKey']
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)
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else:
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return {}
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# do/while simulation
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response = fetch(response, table)
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while 'LastEvaluatedKey' in response:
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response = fetch(response, table)
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return {
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"statusCode": 200
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}
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if __name__ == "__main__":
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import boto3
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client = boto3.client('ecs')
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response = client.run_task(
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cluster=os.environ.get('FREQ_CLUSTER_NAME', 'fargate'), # name of the cluster
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launchType='FARGATE',
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taskDefinition=os.environ.get('FREQ_TASK_NAME', 'freqtrade-backtesting:1'),
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count=1,
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platformVersion='LATEST',
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networkConfiguration={
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'awsvpcConfiguration': {
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'subnets': [
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os.environ.get('FREQ_SUBNET_1', 'subnet-c35bdcab'),
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os.environ.get('FREQ_SUBNET_2', 'subnet-be46b9c4'),
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os.environ.get('FREQ_SUBNET_3', 'subnet-234ab559'),
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os.environ.get('FREQ_SUBNET_4', 'subnet-234ab559')
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],
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'assignPublicIp': 'ENABLED'
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}
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},
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overrides={"containerOverrides": [{
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"name": "freqtrade-backtest",
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"environment": [
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{
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"name": "FREQ_USER",
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"value": "12345"
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},
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{
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"name": "FREQ_CONFIG",
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"value": "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"
|
|
},
|
|
{
|
|
"name": "BASE_URL",
|
|
"value": "https://freq.isaac.international/dev"
|
|
}
|
|
|
|
]
|
|
}]},
|
|
)
|
|
print(response)
|