add mongodb support for hyperopt parallelization
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@ -76,6 +76,7 @@ target/
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config.json
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preprocessor.py
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*.sqlite
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.mongodb
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.env
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.venv
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@ -167,6 +167,13 @@ def build_subcommands(parser: argparse.ArgumentParser) -> None:
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type=int,
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metavar='INT',
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)
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hyperopt_cmd.add_argument(
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'--use-mongodb',
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help='parallelize evaluations with mongodb (requires mongod in PATH)',
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dest='mongodb',
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action='store_true',
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)
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# Required json-schema for user specified config
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CONF_SCHEMA = {
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@ -118,36 +118,38 @@ def backtest(config: Dict, processed: Dict[str, DataFrame],
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def start(args):
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print('')
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# Initialize logger
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logging.basicConfig(
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level=args.loglevel,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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)
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exchange._API = Bittrex({'key': '', 'secret': ''})
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print('Using config: {} ...'.format(args.config))
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logger.info('Using config: %s ...', args.config)
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config = load_config(args.config)
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print('Using ticker_interval: {} ...'.format(args.ticker_interval))
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logger.info('Using ticker_interval: %s ...', args.ticker_interval)
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data = {}
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if args.live:
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print('Downloading data for all pairs in whitelist ...')
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logger.info('Downloading data for all pairs in whitelist ...')
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for pair in config['exchange']['pair_whitelist']:
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data[pair] = exchange.get_ticker_history(pair, args.ticker_interval)
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else:
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print('Using local backtesting data (ignoring whitelist in given config)...')
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logger.info('Using local backtesting data (ignoring whitelist in given config) ...')
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data = load_data(args.ticker_interval)
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print('Using stake_currency: {} ...\nUsing stake_amount: {} ...'.format(
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config['stake_currency'], config['stake_amount']
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))
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logger.info('Using stake_currency: %s ...', config['stake_currency'])
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logger.info('Using stake_amount: %s ...', config['stake_amount'])
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# Print timeframe
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min_date, max_date = get_timeframe(data)
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print('Measuring data from {} up to {} ...'.format(
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min_date.isoformat(), max_date.isoformat()
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))
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logger.info('Measuring data from %s up to %s ...', min_date.isoformat(), max_date.isoformat())
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max_open_trades = 0
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if args.realistic_simulation:
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print('Using max_open_trades: {} ...'.format(config['max_open_trades']))
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logger.info('Using max_open_trades: %s ...', config['max_open_trades'])
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max_open_trades = config['max_open_trades']
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# Monkey patch config
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@ -158,5 +160,7 @@ def start(args):
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results = backtest(
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config, preprocess(data), max_open_trades, args.realistic_simulation
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)
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print('====================== BACKTESTING REPORT ======================================\n\n')
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print(generate_text_table(data, results, config['stake_currency']))
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logger.info(
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'\n====================== BACKTESTING REPORT ======================================\n%s',
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generate_text_table(data, results, config['stake_currency'])
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)
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@ -2,11 +2,13 @@
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import json
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import logging
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from functools import reduce
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from math import exp
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from operator import itemgetter
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from hyperopt import fmin, tpe, hp, Trials, STATUS_OK
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from hyperopt.mongoexp import MongoTrials
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from pandas import DataFrame
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from freqtrade import exchange, optimize
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@ -14,6 +16,9 @@ from freqtrade.exchange import Bittrex
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from freqtrade.optimize.backtesting import backtest
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from freqtrade.vendor.qtpylib.indicators import crossed_above
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logger = logging.getLogger(__name__)
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# set TARGET_TRADES to suit your number concurrent trades so its realistic to 20days of data
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TARGET_TRADES = 1100
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TOTAL_TRIES = 4
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@ -34,6 +39,11 @@ OPTIMIZE_CONFIG = {
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'stoploss': -0.10,
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}
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# Monkey patch config
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from freqtrade import main
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main._CONF = OPTIMIZE_CONFIG
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SPACE = {
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'mfi': hp.choice('mfi', [
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{'enabled': False},
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@ -101,7 +111,7 @@ def optimizer(params):
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profit_loss = max(0, 1 - total_profit / 10000) # max profit 10000
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_CURRENT_TRIES += 1
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print('{:5d}/{}: {}'.format(_CURRENT_TRIES, TOTAL_TRIES, result))
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logger.info('{:5d}/{}: {}'.format(_CURRENT_TRIES, TOTAL_TRIES, result))
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return {
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'loss': trade_loss + profit_loss,
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@ -169,15 +179,27 @@ def start(args):
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global TOTAL_TRIES
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TOTAL_TRIES = args.epochs
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# Monkey patch config
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from freqtrade import main
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main._CONF = OPTIMIZE_CONFIG
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exchange._API = Bittrex({'key': '', 'secret': ''})
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# Initialize logger
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logging.basicConfig(
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level=args.loglevel,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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)
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if args.mongodb:
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logger.info('Using mongodb.')
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logger.info('Start scripts/start-mongodb.sh and start-hyperopt-worker.sh manually')
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db_name = 'freqtrade_hyperopt'
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trials = MongoTrials('mongo://127.0.0.1:1234/{}/jobs'.format(db_name), exp_key='exp1')
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else:
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trials = Trials()
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best = fmin(fn=optimizer, space=SPACE, algo=tpe.suggest, max_evals=TOTAL_TRIES, trials=trials)
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print('\n==================== HYPEROPT BACKTESTING REPORT ==============================\n')
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print('Best parameters: {}'.format(json.dumps(best, indent=4)))
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logger.info(
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'\n==================== HYPEROPT BACKTESTING REPORT ==============================\n'
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)
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logger.info('Best parameters:\n%s', json.dumps(best, indent=4))
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results = sorted(trials.results, key=itemgetter('loss'))
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print('Best Result: {}\n'.format(results[0]['result']))
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logger.info('Best Result:\n%s', results[0]['result'])
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5
scripts/start-hyperopt-worker.sh
Executable file
5
scripts/start-hyperopt-worker.sh
Executable file
@ -0,0 +1,5 @@
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#!/bin/bash
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DB_NAME=freqtrade_hyperopt
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hyperopt-mongo-worker --mongo=127.0.0.1:1234/${DB_NAME} --poll-interval=0.1
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scripts/start-mongodb.sh
Executable file
12
scripts/start-mongodb.sh
Executable file
@ -0,0 +1,12 @@
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#!/bin/bash -e
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DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
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DB_PATH="${DIR}/../.mongodb"
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mkdir -p ${DB_PATH}
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mongod --dbpath ${DB_PATH} \
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--bind_ip 127.0.0.1 \
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--port 1234 \
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--directoryperdb \
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--journal \
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--nohttpinterface
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