mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-11 02:33:55 +00:00
commit
2a347e4027
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@ -46,6 +46,11 @@ python3 ./freqtrade/main.py backtesting --realistic-simulation --refresh-pairs-c
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python3 ./freqtrade/main.py backtesting --realistic-simulation --live
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python3 ./freqtrade/main.py backtesting --realistic-simulation --live
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```
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```
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**Using a different on-disk ticker-data source**
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```bash
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python3 ./freqtrade/main.py backtesting --datadir freqtrade/tests/testdata-20180101
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```
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For help about backtesting usage, please refer to
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For help about backtesting usage, please refer to
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[Backtesting commands](#backtesting-commands).
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[Backtesting commands](#backtesting-commands).
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@ -26,6 +26,9 @@ optional arguments:
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specify configuration file (default: config.json)
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specify configuration file (default: config.json)
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-v, --verbose be verbose
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-v, --verbose be verbose
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--version show program's version number and exit
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--version show program's version number and exit
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-dd PATH, --datadir PATH
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Path is from where backtesting and hyperopt will load the
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ticker data files (default freqdata/tests/testdata).
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--dynamic-whitelist [INT]
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--dynamic-whitelist [INT]
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dynamically generate and update whitelist based on 24h
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dynamically generate and update whitelist based on 24h
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BaseVolume (Default 20 currencies)
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BaseVolume (Default 20 currencies)
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@ -163,6 +163,11 @@ We strongly recommend to use `screen` to prevent any connection loss.
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python3 ./freqtrade/main.py -c config.json hyperopt
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python3 ./freqtrade/main.py -c config.json hyperopt
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```
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```
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### Execute hyperopt with different ticker-data source
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If you would like to learn parameters using an alternate ticke-data that
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you have on-disk, use the --datadir PATH option. Default hyperopt will
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use data from directory freqtrade/tests/testdata.
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### Hyperopt with MongoDB
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### Hyperopt with MongoDB
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Hyperopt with MongoDB, is like Hyperopt under steroids. As you saw by
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Hyperopt with MongoDB, is like Hyperopt under steroids. As you saw by
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executing the previous command is the execution takes a long time.
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executing the previous command is the execution takes a long time.
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@ -125,6 +125,14 @@ def parse_args(args: List[str], description: str):
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action='store_true',
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action='store_true',
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dest='dry_run_db',
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dest='dry_run_db',
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)
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)
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parser.add_argument(
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'-dd', '--datadir',
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help='path to backtest data (default freqdata/tests/testdata',
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dest='datadir',
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default='freqtrade/tests/testdata',
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type=str,
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metavar='PATH',
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)
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parser.add_argument(
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parser.add_argument(
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'--dynamic-whitelist',
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'--dynamic-whitelist',
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help='dynamically generate and update whitelist based on 24h BaseVolume (Default 20 currencies)', # noqa
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help='dynamically generate and update whitelist based on 24h BaseVolume (Default 20 currencies)', # noqa
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@ -12,12 +12,12 @@ from freqtrade.analyze import populate_indicators, parse_ticker_dataframe
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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def load_tickerdata_file(pair, ticker_interval):
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def load_tickerdata_file(datadir, pair, ticker_interval):
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"""
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"""
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Load a pair from file,
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Load a pair from file,
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:return dict OR empty if unsuccesful
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:return dict OR empty if unsuccesful
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"""
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"""
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path = testdata_path()
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path = make_testdata_path(datadir)
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file = '{abspath}/{pair}-{ticker_interval}.json'.format(
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file = '{abspath}/{pair}-{ticker_interval}.json'.format(
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abspath=path,
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abspath=path,
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pair=pair,
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pair=pair,
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@ -33,7 +33,7 @@ def load_tickerdata_file(pair, ticker_interval):
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return pairdata
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return pairdata
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def load_data(ticker_interval: int = 5, pairs: Optional[List[str]] = None,
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def load_data(datadir: str, ticker_interval: int = 5, pairs: Optional[List[str]] = None,
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refresh_pairs: Optional[bool] = False) -> Dict[str, List]:
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refresh_pairs: Optional[bool] = False) -> Dict[str, List]:
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"""
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"""
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Loads ticker history data for the given parameters
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Loads ticker history data for the given parameters
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@ -47,16 +47,16 @@ def load_data(ticker_interval: int = 5, pairs: Optional[List[str]] = None,
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# If the user force the refresh of pairs
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# If the user force the refresh of pairs
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if refresh_pairs:
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if refresh_pairs:
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logger.info('Download data for all pairs and store them in freqtrade/tests/testsdata')
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logger.info('Download data for all pairs and store them in %s', datadir)
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download_pairs(_pairs)
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download_pairs(datadir, _pairs)
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for pair in _pairs:
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for pair in _pairs:
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pairdata = load_tickerdata_file(pair, ticker_interval)
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pairdata = load_tickerdata_file(datadir, pair, ticker_interval)
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if not pairdata:
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if not pairdata:
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# download the tickerdata from exchange
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# download the tickerdata from exchange
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download_backtesting_testdata(pair=pair, interval=ticker_interval)
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download_backtesting_testdata(datadir, pair=pair, interval=ticker_interval)
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# and retry reading the pair
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# and retry reading the pair
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pairdata = load_tickerdata_file(pair, ticker_interval)
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pairdata = load_tickerdata_file(datadir, pair, ticker_interval)
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result[pair] = pairdata
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result[pair] = pairdata
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return result
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return result
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@ -67,17 +67,18 @@ def preprocess(tickerdata: Dict[str, List]) -> Dict[str, DataFrame]:
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for pair, pair_data in tickerdata.items()}
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for pair, pair_data in tickerdata.items()}
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def testdata_path() -> str:
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def make_testdata_path(datadir: str) -> str:
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"""Return the path where testdata files are stored"""
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"""Return the path where testdata files are stored"""
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return os.path.abspath(os.path.join(os.path.dirname(__file__), '..', 'tests', 'testdata'))
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return datadir or os.path.abspath(os.path.join(os.path.dirname(__file__),
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'..', 'tests', 'testdata'))
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def download_pairs(pairs: List[str]) -> bool:
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def download_pairs(datadir, 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 each pairs passed in parameters, download 1 and 5 ticker intervals"""
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for pair in pairs:
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for pair in pairs:
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try:
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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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download_backtesting_testdata(datadir, pair=pair, interval=interval)
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except BaseException:
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except BaseException:
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logger.info('Failed 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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pair=pair,
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@ -87,7 +88,7 @@ def download_pairs(pairs: List[str]) -> bool:
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return True
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return True
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def download_backtesting_testdata(pair: str, interval: int = 5) -> bool:
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def download_backtesting_testdata(datadir: str, pair: str, interval: int = 5) -> bool:
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"""
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"""
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Download the latest 1 and 5 ticker intervals from Bittrex for the pairs passed in parameters
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Download the latest 1 and 5 ticker intervals from Bittrex for the pairs passed in parameters
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Based on @Rybolov work: https://github.com/rybolov/freqtrade-data
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Based on @Rybolov work: https://github.com/rybolov/freqtrade-data
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@ -95,7 +96,7 @@ def download_backtesting_testdata(pair: str, interval: int = 5) -> bool:
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:return: bool
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:return: bool
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"""
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"""
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path = testdata_path()
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path = make_testdata_path(datadir)
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logger.info('Download the pair: "{pair}", Interval: {interval} min'.format(
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logger.info('Download the pair: "{pair}", Interval: {interval} min'.format(
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pair=pair,
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pair=pair,
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interval=interval,
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interval=interval,
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@ -162,7 +162,7 @@ def start(args):
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data[pair] = exchange.get_ticker_history(pair, args.ticker_interval)
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data[pair] = exchange.get_ticker_history(pair, args.ticker_interval)
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else:
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else:
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logger.info('Using local backtesting data (using whitelist in given config) ...')
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logger.info('Using local backtesting data (using whitelist in given config) ...')
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data = optimize.load_data(pairs=pairs, ticker_interval=args.ticker_interval,
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data = optimize.load_data(args.datadir, pairs=pairs, ticker_interval=args.ticker_interval,
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refresh_pairs=args.refresh_pairs)
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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_currency: %s ...', config['stake_currency'])
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@ -36,7 +36,7 @@ CURRENT_BEST_LOSS = 100
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EXPECTED_MAX_PROFIT = 3.85
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EXPECTED_MAX_PROFIT = 3.85
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# Configuration and data used by hyperopt
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# Configuration and data used by hyperopt
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PROCESSED = optimize.preprocess(optimize.load_data())
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PROCESSED = None # optimize.preprocess(optimize.load_data())
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OPTIMIZE_CONFIG = hyperopt_optimize_conf()
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OPTIMIZE_CONFIG = hyperopt_optimize_conf()
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# Monkey patch config
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# Monkey patch config
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@ -224,7 +224,7 @@ def start(args):
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config = load_config(args.config)
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config = load_config(args.config)
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pairs = config['exchange']['pair_whitelist']
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pairs = config['exchange']['pair_whitelist']
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PROCESSED = optimize.preprocess(optimize.load_data(
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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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args.datadir, pairs=pairs, ticker_interval=args.ticker_interval))
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if args.mongodb:
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if args.mongodb:
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logger.info('Using mongodb ...')
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logger.info('Using mongodb ...')
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@ -32,7 +32,7 @@ def test_generate_text_table():
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def test_get_timeframe():
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def test_get_timeframe():
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data = preprocess(optimize.load_data(
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data = preprocess(optimize.load_data(
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ticker_interval=1, pairs=['BTC_UNITEST']))
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None, ticker_interval=1, pairs=['BTC_UNITEST']))
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min_date, max_date = get_timeframe(data)
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min_date, max_date = get_timeframe(data)
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assert min_date.isoformat() == '2017-11-04T23:02:00+00:00'
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assert min_date.isoformat() == '2017-11-04T23:02:00+00:00'
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assert max_date.isoformat() == '2017-11-14T22:59:00+00:00'
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assert max_date.isoformat() == '2017-11-14T22:59:00+00:00'
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@ -42,7 +42,7 @@ def test_backtest(default_conf, mocker):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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exchange._API = Bittrex({'key': '', 'secret': ''})
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exchange._API = Bittrex({'key': '', 'secret': ''})
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data = optimize.load_data(ticker_interval=5, pairs=['BTC_ETH'])
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data = optimize.load_data(None, ticker_interval=5, pairs=['BTC_ETH'])
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results = backtest(default_conf['stake_amount'],
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results = backtest(default_conf['stake_amount'],
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optimize.preprocess(data), 10, True)
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optimize.preprocess(data), 10, True)
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assert not results.empty
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assert not results.empty
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@ -53,7 +53,7 @@ def test_backtest_1min_ticker_interval(default_conf, mocker):
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exchange._API = Bittrex({'key': '', 'secret': ''})
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exchange._API = Bittrex({'key': '', 'secret': ''})
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# Run a backtesting for an exiting 5min ticker_interval
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# Run a backtesting for an exiting 5min ticker_interval
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data = optimize.load_data(ticker_interval=1, pairs=['BTC_UNITEST'])
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data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'])
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results = backtest(default_conf['stake_amount'],
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results = backtest(default_conf['stake_amount'],
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optimize.preprocess(data), 1, True)
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optimize.preprocess(data), 1, True)
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assert not results.empty
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assert not results.empty
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@ -67,7 +67,7 @@ def trim_dictlist(dl, num):
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def load_data_test(what):
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def load_data_test(what):
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data = optimize.load_data(ticker_interval=1, pairs=['BTC_UNITEST'])
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data = optimize.load_data(None, ticker_interval=1, pairs=['BTC_UNITEST'])
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data = trim_dictlist(data, -100)
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data = trim_dictlist(data, -100)
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pair = data['BTC_UNITEST']
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pair = data['BTC_UNITEST']
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datalen = len(pair)
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datalen = len(pair)
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@ -124,7 +124,7 @@ def simple_backtest(config, contour, num_results):
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def test_backtest2(default_conf, mocker):
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def test_backtest2(default_conf, mocker):
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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mocker.patch.dict('freqtrade.main._CONF', default_conf)
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data = optimize.load_data(ticker_interval=5, pairs=['BTC_ETH'])
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data = optimize.load_data(None, ticker_interval=5, pairs=['BTC_ETH'])
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results = backtest(default_conf['stake_amount'],
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results = backtest(default_conf['stake_amount'],
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optimize.preprocess(data), 10, True)
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optimize.preprocess(data), 10, True)
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assert not results.empty
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assert not results.empty
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@ -149,8 +149,8 @@ def test_backtest_pricecontours(default_conf, mocker):
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simple_backtest(default_conf, contour, numres)
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simple_backtest(default_conf, contour, numres)
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def mocked_load_data(pairs=[], ticker_interval=0, refresh_pairs=False):
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def mocked_load_data(datadir, pairs=[], ticker_interval=0, refresh_pairs=False):
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tickerdata = optimize.load_tickerdata_file('BTC_UNITEST', 1)
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tickerdata = optimize.load_tickerdata_file(datadir, 'BTC_UNITEST', 1)
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pairdata = {'BTC_UNITEST': tickerdata}
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pairdata = {'BTC_UNITEST': tickerdata}
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return trim_dictlist(pairdata, -100)
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return trim_dictlist(pairdata, -100)
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@ -165,6 +165,7 @@ def test_backtest_start(default_conf, mocker, caplog):
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args.ticker_interval = 1
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args.ticker_interval = 1
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args.level = 10
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args.level = 10
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args.live = False
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args.live = False
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args.datadir = None
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backtesting.start(args)
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backtesting.start(args)
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# check the logs, that will contain the backtest result
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# check the logs, that will contain the backtest result
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exists = ['Using max_open_trades: 1 ...',
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exists = ['Using max_open_trades: 1 ...',
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@ -5,7 +5,7 @@ import logging
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from shutil import copyfile
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from shutil import copyfile
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from freqtrade import exchange, optimize
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from freqtrade import exchange, optimize
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from freqtrade.exchange import Bittrex
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from freqtrade.exchange import Bittrex
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from freqtrade.optimize.__init__ import testdata_path, download_pairs,\
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from freqtrade.optimize.__init__ import make_testdata_path, download_pairs,\
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download_backtesting_testdata, load_tickerdata_file
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download_backtesting_testdata, load_tickerdata_file
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|
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# Change this if modifying BTC_UNITEST testdatafile
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# Change this if modifying BTC_UNITEST testdatafile
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@ -51,7 +51,7 @@ def test_load_data_5min_ticker(default_conf, ticker_history, mocker, caplog):
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|
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file = 'freqtrade/tests/testdata/BTC_ETH-5.json'
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file = 'freqtrade/tests/testdata/BTC_ETH-5.json'
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_backup_file(file, copy_file=True)
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_backup_file(file, copy_file=True)
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optimize.load_data(pairs=['BTC_ETH'])
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optimize.load_data(None, pairs=['BTC_ETH'])
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assert os.path.isfile(file) is True
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assert os.path.isfile(file) is True
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assert ('freqtrade.optimize',
|
assert ('freqtrade.optimize',
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logging.INFO,
|
logging.INFO,
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@ -68,7 +68,7 @@ def test_load_data_1min_ticker(default_conf, ticker_history, mocker, caplog):
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|
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file = 'freqtrade/tests/testdata/BTC_ETH-1.json'
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file = 'freqtrade/tests/testdata/BTC_ETH-1.json'
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_backup_file(file, copy_file=True)
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_backup_file(file, copy_file=True)
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optimize.load_data(ticker_interval=1, pairs=['BTC_ETH'])
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optimize.load_data(None, ticker_interval=1, pairs=['BTC_ETH'])
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assert os.path.isfile(file) is True
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assert os.path.isfile(file) is True
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assert ('freqtrade.optimize',
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assert ('freqtrade.optimize',
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logging.INFO,
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logging.INFO,
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@ -85,7 +85,7 @@ def test_load_data_with_new_pair_1min(default_conf, ticker_history, mocker, capl
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|
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file = 'freqtrade/tests/testdata/BTC_MEME-1.json'
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file = 'freqtrade/tests/testdata/BTC_MEME-1.json'
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_backup_file(file)
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_backup_file(file)
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optimize.load_data(ticker_interval=1, pairs=['BTC_MEME'])
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optimize.load_data(None, ticker_interval=1, pairs=['BTC_MEME'])
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assert os.path.isfile(file) is True
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assert os.path.isfile(file) is True
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assert ('freqtrade.optimize',
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assert ('freqtrade.optimize',
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||||||
logging.INFO,
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logging.INFO,
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|
@ -95,7 +95,7 @@ def test_load_data_with_new_pair_1min(default_conf, ticker_history, mocker, capl
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|
|
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|
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def test_testdata_path():
|
def test_testdata_path():
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assert os.path.join('freqtrade', 'tests', 'testdata') in testdata_path()
|
assert os.path.join('freqtrade', 'tests', 'testdata') in make_testdata_path(None)
|
||||||
|
|
||||||
|
|
||||||
def test_download_pairs(default_conf, ticker_history, mocker):
|
def test_download_pairs(default_conf, ticker_history, mocker):
|
||||||
|
@ -113,7 +113,7 @@ def test_download_pairs(default_conf, ticker_history, mocker):
|
||||||
_backup_file(file2_1)
|
_backup_file(file2_1)
|
||||||
_backup_file(file2_5)
|
_backup_file(file2_5)
|
||||||
|
|
||||||
assert download_pairs(pairs=['BTC-MEME', 'BTC-CFI']) is True
|
assert download_pairs(None, pairs=['BTC-MEME', 'BTC-CFI']) is True
|
||||||
|
|
||||||
assert os.path.isfile(file1_1) is True
|
assert os.path.isfile(file1_1) is True
|
||||||
assert os.path.isfile(file1_5) is True
|
assert os.path.isfile(file1_5) is True
|
||||||
|
@ -139,7 +139,7 @@ def test_download_pairs_exception(default_conf, ticker_history, mocker, caplog):
|
||||||
_backup_file(file1_1)
|
_backup_file(file1_1)
|
||||||
_backup_file(file1_5)
|
_backup_file(file1_5)
|
||||||
|
|
||||||
download_pairs(pairs=['BTC-MEME'])
|
download_pairs(None, pairs=['BTC-MEME'])
|
||||||
# clean files freshly downloaded
|
# clean files freshly downloaded
|
||||||
_clean_test_file(file1_1)
|
_clean_test_file(file1_1)
|
||||||
_clean_test_file(file1_5)
|
_clean_test_file(file1_5)
|
||||||
|
@ -157,7 +157,7 @@ def test_download_backtesting_testdata(default_conf, ticker_history, mocker):
|
||||||
# Download a 1 min ticker file
|
# Download a 1 min ticker file
|
||||||
file1 = 'freqtrade/tests/testdata/BTC_XEL-1.json'
|
file1 = 'freqtrade/tests/testdata/BTC_XEL-1.json'
|
||||||
_backup_file(file1)
|
_backup_file(file1)
|
||||||
download_backtesting_testdata(pair="BTC-XEL", interval=1)
|
download_backtesting_testdata(None, pair="BTC-XEL", interval=1)
|
||||||
assert os.path.isfile(file1) is True
|
assert os.path.isfile(file1) is True
|
||||||
_clean_test_file(file1)
|
_clean_test_file(file1)
|
||||||
|
|
||||||
|
@ -165,12 +165,12 @@ def test_download_backtesting_testdata(default_conf, ticker_history, mocker):
|
||||||
file2 = 'freqtrade/tests/testdata/BTC_STORJ-5.json'
|
file2 = 'freqtrade/tests/testdata/BTC_STORJ-5.json'
|
||||||
_backup_file(file2)
|
_backup_file(file2)
|
||||||
|
|
||||||
download_backtesting_testdata(pair="BTC-STORJ", interval=5)
|
download_backtesting_testdata(None, pair="BTC-STORJ", interval=5)
|
||||||
assert os.path.isfile(file2) is True
|
assert os.path.isfile(file2) is True
|
||||||
_clean_test_file(file2)
|
_clean_test_file(file2)
|
||||||
|
|
||||||
|
|
||||||
def test_load_tickerdata_file():
|
def test_load_tickerdata_file():
|
||||||
assert not load_tickerdata_file('BTC_UNITEST', 7)
|
assert not load_tickerdata_file(None, 'BTC_UNITEST', 7)
|
||||||
tickerdata = load_tickerdata_file('BTC_UNITEST', 1)
|
tickerdata = load_tickerdata_file(None, 'BTC_UNITEST', 1)
|
||||||
assert _btc_unittest_length == len(tickerdata)
|
assert _btc_unittest_length == len(tickerdata)
|
||||||
|
|
|
@ -7,7 +7,7 @@ _pairs = ['BTC_ETH']
|
||||||
|
|
||||||
|
|
||||||
def load_dataframe_pair(pairs):
|
def load_dataframe_pair(pairs):
|
||||||
ld = freqtrade.optimize.load_data(ticker_interval=5, pairs=pairs)
|
ld = freqtrade.optimize.load_data(None, ticker_interval=5, pairs=pairs)
|
||||||
assert isinstance(ld, dict)
|
assert isinstance(ld, dict)
|
||||||
assert isinstance(pairs[0], str)
|
assert isinstance(pairs[0], str)
|
||||||
dataframe = ld[pairs[0]]
|
dataframe = ld[pairs[0]]
|
||||||
|
|
Loading…
Reference in New Issue
Block a user