More lint fixes (#198)
* autopep fixes * remove unused imports * fix plot_dataframe.py lint warnings * make pep8 error fails the build * two more line breakings * matplotlib.use() must be called before pyplot import
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@ -25,8 +25,9 @@ jobs:
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- script:
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- cp config.json.example config.json
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- python freqtrade/main.py hyperopt -e 5
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- script: flake8 freqtrade
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after_success:
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- flake8 freqtrade && coveralls
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- coveralls
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notifications:
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slack:
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secure: bKLXmOrx8e2aPZl7W8DA5BdPAXWGpI5UzST33oc1G/thegXcDVmHBTJrBs4sZak6bgAclQQrdZIsRd2eFYzHLalJEaw6pk7hoAw8SvLnZO0ZurWboz7qg2+aZZXfK4eKl/VUe4sM9M4e/qxjkK+yWG7Marg69c4v1ypF7ezUi1fPYILYw8u0paaiX0N5UX8XNlXy+PBlga2MxDjUY70MuajSZhPsY2pDUvYnMY1D/7XN3cFW0g+3O8zXjF0IF4q1Z/1ASQe+eYjKwPQacE+O8KDD+ZJYoTOFBAPllrtpO1jnOPFjNGf3JIbVMZw4bFjIL0mSQaiSUaUErbU3sFZ5Or79rF93XZ81V7uEZ55vD8KMfR2CB1cQJcZcj0v50BxLo0InkFqa0Y8Nra3sbpV4fV5Oe8pDmomPJrNFJnX6ULQhQ1gTCe0M5beKgVms5SITEpt4/Y0CmLUr6iHDT0CUiyMIRWAXdIgbGh1jfaWOMksybeRevlgDsIsNBjXmYI1Sw2ZZR2Eo2u4R6zyfyjOMLwYJ3vgq9IrACv2w5nmf0+oguMWHf6iWi2hiOqhlAN1W74+3HsYQcqnuM3LGOmuCnPprV1oGBqkPXjIFGpy21gNx4vHfO1noLUyJnMnlu2L7SSuN1CdLsnjJ1hVjpJjPfqB4nn8g12x87TqM1bOm+3Q=
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@ -168,8 +168,8 @@ def build_subcommands(parser: argparse.ArgumentParser) -> None:
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)
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backtesting_cmd.add_argument(
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'-r', '--refresh-pairs-cached',
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help='refresh the pairs files in tests/testdata with the latest data from Bittrex. Use it if you want to \
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run your backtesting with up-to-date data.',
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help='refresh the pairs files in tests/testdata with the latest data from Bittrex. \
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Use it if you want to run your backtesting with up-to-date data.',
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action='store_true',
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dest='refresh_pairs',
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)
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@ -13,7 +13,8 @@ from freqtrade.analyze import populate_indicators, parse_ticker_dataframe
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logger = logging.getLogger(__name__)
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def load_data(pairs: List[str], ticker_interval: int = 5, refresh_pairs: Optional[bool] = False) -> Dict[str, List]:
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def load_data(pairs: List[str], ticker_interval: int = 5,
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refresh_pairs: Optional[bool] = False) -> Dict[str, List]:
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"""
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Loads ticker history data for the given parameters
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:param ticker_interval: ticker interval in minutes
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@ -61,10 +62,10 @@ def download_pairs(pairs: List[str]) -> bool:
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"""For each pairs passed in parameters, download 1 and 5 ticker intervals"""
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for pair in pairs:
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try:
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for interval in [1,5]:
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for interval in [1, 5]:
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download_backtesting_testdata(pair=pair, interval=interval)
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except BaseException:
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logger.info('Impossible to download the pair: "{pair}", Interval: {interval} min'.format(
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logger.info('Failed to download the pair: "{pair}", Interval: {interval} min'.format(
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pair=pair,
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interval=interval,
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))
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@ -103,7 +104,7 @@ def download_backtesting_testdata(pair: str, interval: int = 5) -> bool:
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logger.debug("Current Start: None")
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logger.debug("Current End: None")
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new_data = get_ticker_history(pair = pair, tick_interval = int(interval))
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new_data = get_ticker_history(pair=pair, tick_interval=int(interval))
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for row in new_data:
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if row not in data:
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data.append(row)
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@ -140,7 +140,8 @@ def start(args):
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data[pair] = exchange.get_ticker_history(pair, args.ticker_interval)
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else:
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logger.info('Using local backtesting data (using whitelist in given config) ...')
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data = load_data(pairs=pairs, ticker_interval=args.ticker_interval, refresh_pairs=args.refresh_pairs)
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data = load_data(pairs=pairs, ticker_interval=args.ticker_interval,
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refresh_pairs=args.refresh_pairs)
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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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@ -150,7 +150,7 @@ def optimizer(params):
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'total_tries': TOTAL_TRIES,
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'result': result,
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'results': results
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}
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}
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# logger.info('{:5d}/{}: {}'.format(_CURRENT_TRIES, TOTAL_TRIES, result))
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log_results(result_data)
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@ -169,7 +169,7 @@ def format_results(results: DataFrame):
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results.profit.mean() * 100.0,
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results.profit.sum(),
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results.duration.mean() * 5,
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)
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)
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def buy_strategy_generator(params):
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@ -232,7 +232,8 @@ def start(args):
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logger.info('Using config: %s ...', args.config)
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config = load_config(args.config)
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pairs = config['exchange']['pair_whitelist']
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PROCESSED = optimize.preprocess(optimize.load_data(pairs=pairs, ticker_interval=args.ticker_interval))
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PROCESSED = optimize.preprocess(optimize.load_data(
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pairs=pairs, ticker_interval=args.ticker_interval))
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if args.mongodb:
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logger.info('Using mongodb ...')
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@ -232,11 +232,11 @@ def _daily(bot: Bot, update: Update) -> None:
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for day in range(0, timescale):
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# need to query between day+1 and day-1
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nextdate = date.fromordinal(today-day+1)
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prevdate = date.fromordinal(today-day-1)
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nextdate = date.fromordinal(today - day + 1)
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prevdate = date.fromordinal(today - day - 1)
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trades = Trade.query.filter(between(Trade.close_date, prevdate, nextdate)).all()
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curdayprofit = sum(trade.close_profit * trade.stake_amount for trade in trades)
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profit_days[date.fromordinal(today-day)] = format(curdayprofit, '.8f')
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profit_days[date.fromordinal(today - day)] = format(curdayprofit, '.8f')
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stats = [[key, str(value) + ' BTC'] for key, value in profit_days.items()]
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stats = tabulate(stats, headers=['Day', 'Profit'], tablefmt='simple')
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@ -128,7 +128,7 @@ def limit_sell_order():
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@pytest.fixture
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def ticker_history():
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return [
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{
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{
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"O": 8.794e-05,
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"H": 8.948e-05,
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"L": 8.794e-05,
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@ -137,7 +137,7 @@ def ticker_history():
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"T": "2017-11-26T08:50:00",
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"BV": 0.0877869
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},
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{
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{
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"O": 8.88e-05,
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"H": 8.942e-05,
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"L": 8.88e-05,
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@ -146,7 +146,7 @@ def ticker_history():
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"T": "2017-11-26T08:55:00",
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"BV": 0.05874751
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},
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{
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{
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"O": 8.891e-05,
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"H": 8.893e-05,
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"L": 8.875e-05,
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@ -155,4 +155,4 @@ def ticker_history():
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"T": "2017-11-26T09:00:00",
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"BV": 0.7039405
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}
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]
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]
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@ -1,15 +1,11 @@
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# pragma pylint: disable=missing-docstring,W0212
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from unittest.mock import MagicMock
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from freqtrade import exchange, optimize
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from freqtrade.exchange import Bittrex
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from freqtrade.optimize.backtesting import backtest
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from freqtrade.optimize.__init__ import testdata_path, download_pairs, download_backtesting_testdata
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import os
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import pytest
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def test_backtest(default_conf, mocker):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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@ -30,6 +26,7 @@ def test_1min_ticker_interval(default_conf, mocker):
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results = backtest(default_conf, optimize.preprocess(data), 1, True)
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assert len(results) > 0
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def test_backtest_with_new_pair(default_conf, ticker_history, mocker):
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mocker.patch('freqtrade.optimize.get_ticker_history', return_value=ticker_history)
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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@ -59,7 +56,7 @@ def test_download_pairs(default_conf, ticker_history, mocker):
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file2_1 = 'freqtrade/tests/testdata/BTC_CFI-1.json'
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file2_5 = 'freqtrade/tests/testdata/BTC_CFI-5.json'
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assert download_pairs(pairs = ['BTC-MEME', 'BTC-CFI']) is True
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assert download_pairs(pairs=['BTC-MEME', 'BTC-CFI']) is True
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assert os.path.isfile(file1_1) is True
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assert os.path.isfile(file1_5) is True
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@ -87,7 +84,7 @@ def test_download_backtesting_testdata(default_conf, ticker_history, mocker):
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# Download a 1 min ticker file
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file1 = 'freqtrade/tests/testdata/BTC_XEL-1.json'
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download_backtesting_testdata(pair = "BTC-XEL", interval = 1)
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download_backtesting_testdata(pair="BTC-XEL", interval=1)
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assert os.path.isfile(file1) is True
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if os.path.isfile(file1):
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@ -95,7 +92,7 @@ def test_download_backtesting_testdata(default_conf, ticker_history, mocker):
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# Download a 5 min ticker file
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file2 = 'freqtrade/tests/testdata/BTC_STORJ-5.json'
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download_backtesting_testdata(pair = "BTC-STORJ", interval = 5)
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download_backtesting_testdata(pair="BTC-STORJ", interval=5)
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assert os.path.isfile(file2) is True
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if os.path.isfile(file2):
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@ -3,7 +3,6 @@
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import matplotlib # Install PYQT5 manually if you want to test this helper function
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matplotlib.use("Qt5Agg")
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import matplotlib.pyplot as plt
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from freqtrade import exchange, analyze
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@ -52,4 +51,3 @@ def plot_analyzed_dataframe(pair: str) -> None:
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if __name__ == '__main__':
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plot_analyzed_dataframe('BTC_ETH')
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