def plot_profit(config: Dict[str, Any]) -> None:
"""
Plots the total profit for all pairs.
Note, the profit calculation isn't realistic.
But should be somewhat proportional, and therefor useful
in helping out to find a good algorithm.
"""
if 'timeframe' not in config:
raise OperationalException(
'Timeframe must be set in either config or via --timeframe.')
exchange = ExchangeResolver.load_exchange(config['exchange']['name'],
config)
plot_elements = init_plotscript(config, list(exchange.markets))
trades = plot_elements['trades']
# Filter trades to relevant pairs
# Remove open pairs - we don't know the profit yet so can't calculate profit for these.
# Also, If only one open pair is left, then the profit-generation would fail.
trades = trades[(trades['pair'].isin(plot_elements['pairs']))
& (~trades['close_date'].isnull())]
if len(trades) == 0:
raise OperationalException(
"No trades found, cannot generate Profit-plot without "
"trades from either Backtest result or database.")
# Create an average close price of all the pairs that were involved.
# this could be useful to gauge the overall market trend
fig = generate_profit_graph(plot_elements['pairs'], plot_elements['ohlcv'],
trades, config['timeframe'],
config.get('stake_currency', ''))
store_plot_file(fig,
filename='freqtrade-profit-plot.html',
directory=config['user_data_dir'] / 'plot',
auto_open=config.get('plot_auto_open', False))
def __init__(self, config: Dict[str, Any]) -> None:
self.config = config
# Reset keys for backtesting
remove_credentials(self.config)
self.strategylist: List[IStrategy] = []
self.exchange = ExchangeResolver.load_exchange(
self.config['exchange']['name'], self.config)
dataprovider = DataProvider(self.config, self.exchange)
IStrategy.dp = dataprovider
if self.config.get('strategy_list', None):
for strat in list(self.config['strategy_list']):
stratconf = deepcopy(self.config)
stratconf['strategy'] = strat
self.strategylist.append(
StrategyResolver.load_strategy(stratconf))
validate_config_consistency(stratconf)
else:
# No strategy list specified, only one strategy
self.strategylist.append(
StrategyResolver.load_strategy(self.config))
validate_config_consistency(self.config)
if "timeframe" not in self.config:
raise OperationalException(
"Timeframe (ticker interval) needs to be set in either "
"configuration or as cli argument `--timeframe 5m`")
self.timeframe = str(self.config.get('timeframe'))
self.timeframe_min = timeframe_to_minutes(self.timeframe)
self.pairlists = PairListManager(self.exchange, self.config)
if 'VolumePairList' in self.pairlists.name_list:
raise OperationalException(
"VolumePairList not allowed for backtesting.")
if len(self.strategylist
) > 1 and 'PrecisionFilter' in self.pairlists.name_list:
raise OperationalException(
"PrecisionFilter not allowed for backtesting multiple strategies."
)
self.pairlists.refresh_pairlist()
if len(self.pairlists.whitelist) == 0:
raise OperationalException("No pair in whitelist.")
if config.get('fee', None) is not None:
self.fee = config['fee']
else:
self.fee = self.exchange.get_fee(
symbol=self.pairlists.whitelist[0])
# Get maximum required startup period
self.required_startup = max(
[strat.startup_candle_count for strat in self.strategylist])
# Load one (first) strategy
self._set_strategy(self.strategylist[0])
def start_test_pairlist(args: Dict[str, Any]) -> None:
"""
Test Pairlist configuration
"""
from freqtrade.plugins.pairlistmanager import PairListManager
config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
exchange = ExchangeResolver.load_exchange(config['exchange']['name'],
config,
validate=False)
quote_currencies = args.get('quote_currencies')
if not quote_currencies:
quote_currencies = [config.get('stake_currency')]
results = {}
for curr in quote_currencies:
config['stake_currency'] = curr
pairlists = PairListManager(exchange, config)
pairlists.refresh_pairlist()
results[curr] = pairlists.whitelist
for curr, pairlist in results.items():
if not args.get('print_one_column', False) and not args.get(
'list_pairs_print_json', False):
print(f"Pairs for {curr}: ")
if args.get('print_one_column', False):
print('\n'.join(pairlist))
elif args.get('list_pairs_print_json', False):
print(rapidjson.dumps(list(pairlist), default=str))
else:
print(pairlist)
def load_and_plot_trades(config: Dict[str, Any]):
"""
From configuration provided
- Initializes plot-script
- Get candle (OHLCV) data
- Generate Dafaframes populated with indicators and signals based on configured strategy
- Load trades executed during the selected period
- Generate Plotly plot objects
- Generate plot files
:return: None
"""
strategy = StrategyResolver.load_strategy(config)
exchange = ExchangeResolver.load_exchange(config['exchange']['name'],
config)
IStrategy.dp = DataProvider(config, exchange)
plot_elements = init_plotscript(config, list(exchange.markets),
strategy.startup_candle_count)
timerange = plot_elements['timerange']
trades = plot_elements['trades']
pair_counter = 0
for pair, data in plot_elements["ohlcv"].items():
pair_counter += 1
logger.info("analyse pair %s", pair)
df_analyzed = strategy.analyze_ticker(data, {'pair': pair})
df_analyzed = trim_dataframe(df_analyzed, timerange)
if not trades.empty:
trades_pair = trades.loc[trades['pair'] == pair]
trades_pair = extract_trades_of_period(df_analyzed, trades_pair)
else:
trades_pair = trades
fig = generate_candlestick_graph(
pair=pair,
data=df_analyzed,
trades=trades_pair,
indicators1=config.get('indicators1', []),
indicators2=config.get('indicators2', []),
plot_config=strategy.plot_config if hasattr(
strategy, 'plot_config') else {})
store_plot_file(fig,
filename=generate_plot_filename(
pair, config['timeframe']),
directory=config['user_data_dir'] / 'plot')
logger.info('End of plotting process. %s plots generated', pair_counter)
def start_list_timeframes(args: Dict[str, Any]) -> None:
"""
Print ticker intervals (timeframes) available on Exchange
"""
config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
# Do not use ticker_interval set in the config
config['ticker_interval'] = None
# Init exchange
exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config, validate=False)
if args['print_one_column']:
print('\n'.join(exchange.timeframes))
else:
print(f"Timeframes available for the exchange `{exchange.name}`: "
f"{', '.join(exchange.timeframes)}")
def start_download_data(args: Dict[str, Any]) -> None:
"""
Download data (former download_backtest_data.py script)
"""
config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
timerange = TimeRange()
if 'days' in config:
time_since = arrow.utcnow().shift(days=-config['days']).strftime("%Y%m%d")
timerange = TimeRange.parse_timerange(f'{time_since}-')
if 'pairs' not in config:
raise OperationalException(
"Downloading data requires a list of pairs. "
"Please check the documentation on how to configure this.")
logger.info(f'About to download pairs: {config["pairs"]}, '
f'intervals: {config["timeframes"]} to {config["datadir"]}')
pairs_not_available: List[str] = []
# Init exchange
exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config)
try:
if config.get('download_trades'):
pairs_not_available = refresh_backtest_trades_data(
exchange, pairs=config["pairs"], datadir=config['datadir'],
timerange=timerange, erase=config.get("erase"))
# Convert downloaded trade data to different timeframes
convert_trades_to_ohlcv(
pairs=config["pairs"], timeframes=config["timeframes"],
datadir=config['datadir'], timerange=timerange, erase=config.get("erase"))
else:
pairs_not_available = refresh_backtest_ohlcv_data(
exchange, pairs=config["pairs"], timeframes=config["timeframes"],
datadir=config['datadir'], timerange=timerange, erase=config.get("erase"))
except KeyboardInterrupt:
sys.exit("SIGINT received, aborting ...")
finally:
if pairs_not_available:
logger.info(f"Pairs [{','.join(pairs_not_available)}] not available "
f"on exchange {exchange.name}.")
def __init__(self, config: Dict[str, Any]) -> None:
self.config = config
# Reset keys for edge
remove_credentials(self.config)
self.config['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
self.exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'], self.config)
self.strategy = StrategyResolver.load_strategy(self.config)
validate_config_consistency(self.config)
self.edge = Edge(config, self.exchange, self.strategy)
# Set refresh_pairs to false for edge-cli (it must be true for edge)
self.edge._refresh_pairs = False
self.edge._timerange = TimeRange.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
def __init__(self, config: Dict[str, Any]) -> None:
self.config = config
# Reset keys for backtesting
remove_credentials(self.config)
self.strategylist: List[IStrategy] = []
self.exchange = ExchangeResolver.load_exchange(
self.config['exchange']['name'], self.config)
if config.get('fee'):
self.fee = config['fee']
else:
self.fee = self.exchange.get_fee(
symbol=self.config['exchange']['pair_whitelist'][0])
if self.config.get('runmode') != RunMode.HYPEROPT:
self.dataprovider = DataProvider(self.config, self.exchange)
IStrategy.dp = self.dataprovider
if self.config.get('strategy_list', None):
for strat in list(self.config['strategy_list']):
stratconf = deepcopy(self.config)
stratconf['strategy'] = strat
self.strategylist.append(
StrategyResolver.load_strategy(stratconf))
validate_config_consistency(stratconf)
else:
# No strategy list specified, only one strategy
self.strategylist.append(
StrategyResolver.load_strategy(self.config))
validate_config_consistency(self.config)
if "ticker_interval" not in self.config:
raise OperationalException(
"Ticker-interval needs to be set in either configuration "
"or as cli argument `--ticker-interval 5m`")
self.timeframe = str(self.config.get('ticker_interval'))
self.timeframe_min = timeframe_to_minutes(self.timeframe)
# Get maximum required startup period
self.required_startup = max(
[strat.startup_candle_count for strat in self.strategylist])
# Load one (first) strategy
self._set_strategy(self.strategylist[0])
def __init__(self, config: Dict[str, Any]) -> None:
self.config = config
# Ensure using dry-run
self.config['dry_run'] = True
self.config['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
self.exchange = ExchangeResolver.load_exchange(
self.config['exchange']['name'], self.config)
self.strategy = StrategyResolver.load_strategy(self.config)
self.strategy.dp = DataProvider(config, self.exchange)
validate_config_consistency(self.config)
self.edge = Edge(config, self.exchange, self.strategy)
# Set refresh_pairs to false for edge-cli (it must be true for edge)
self.edge._refresh_pairs = False
self.edge._timerange = TimeRange.parse_timerange(
None if self.config.get('timerange') is None else str(
self.config.get('timerange')))
def start_convert_trades(args: Dict[str, Any]) -> None:
config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
timerange = TimeRange()
# Remove stake-currency to skip checks which are not relevant for datadownload
config['stake_currency'] = ''
if 'pairs' not in config:
raise OperationalException(
"Downloading data requires a list of pairs. "
"Please check the documentation on how to configure this.")
# Init exchange
exchange = ExchangeResolver.load_exchange(config['exchange']['name'],
config,
validate=False)
# Manual validations of relevant settings
if not config['exchange'].get('skip_pair_validation', False):
exchange.validate_pairs(config['pairs'])
expanded_pairs = expand_pairlist(config['pairs'], list(exchange.markets))
logger.info(f"About to Convert pairs: {expanded_pairs}, "
f"intervals: {config['timeframes']} to {config['datadir']}")
for timeframe in config['timeframes']:
exchange.validate_timeframes(timeframe)
# Convert downloaded trade data to different timeframes
convert_trades_to_ohlcv(
pairs=expanded_pairs,
timeframes=config['timeframes'],
datadir=config['datadir'],
timerange=timerange,
erase=bool(config.get('erase')),
data_format_ohlcv=config['dataformat_ohlcv'],
data_format_trades=config['dataformat_trades'],
)
def start_download_data(args: Dict[str, Any]) -> None:
"""
Download data (former download_backtest_data.py script)
"""
config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
if 'days' in config and 'timerange' in config:
raise OperationalException(
"--days and --timerange are mutually exclusive. "
"You can only specify one or the other.")
timerange = TimeRange()
if 'days' in config:
time_since = (datetime.now() -
timedelta(days=config['days'])).strftime("%Y%m%d")
timerange = TimeRange.parse_timerange(f'{time_since}-')
if 'timerange' in config:
timerange = timerange.parse_timerange(config['timerange'])
# Remove stake-currency to skip checks which are not relevant for datadownload
config['stake_currency'] = ''
if 'pairs' not in config:
raise OperationalException(
"Downloading data requires a list of pairs. "
"Please check the documentation on how to configure this.")
pairs_not_available: List[str] = []
# Init exchange
exchange = ExchangeResolver.load_exchange(config['exchange']['name'],
config,
validate=False)
markets = [
p for p, m in exchange.markets.items()
if market_is_active(m) or config.get('include_inactive')
]
expanded_pairs = expand_pairlist(config['pairs'], markets)
# Manual validations of relevant settings
if not config['exchange'].get('skip_pair_validation', False):
exchange.validate_pairs(expanded_pairs)
logger.info(f"About to download pairs: {expanded_pairs}, "
f"intervals: {config['timeframes']} to {config['datadir']}")
for timeframe in config['timeframes']:
exchange.validate_timeframes(timeframe)
try:
if config.get('download_trades'):
pairs_not_available = refresh_backtest_trades_data(
exchange,
pairs=expanded_pairs,
datadir=config['datadir'],
timerange=timerange,
new_pairs_days=config['new_pairs_days'],
erase=bool(config.get('erase')),
data_format=config['dataformat_trades'])
# Convert downloaded trade data to different timeframes
convert_trades_to_ohlcv(
pairs=expanded_pairs,
timeframes=config['timeframes'],
datadir=config['datadir'],
timerange=timerange,
erase=bool(config.get('erase')),
data_format_ohlcv=config['dataformat_ohlcv'],
data_format_trades=config['dataformat_trades'],
)
else:
pairs_not_available = refresh_backtest_ohlcv_data(
exchange,
pairs=expanded_pairs,
timeframes=config['timeframes'],
datadir=config['datadir'],
timerange=timerange,
new_pairs_days=config['new_pairs_days'],
erase=bool(config.get('erase')),
data_format=config['dataformat_ohlcv'])
except KeyboardInterrupt:
sys.exit("SIGINT received, aborting ...")
finally:
if pairs_not_available:
logger.info(
f"Pairs [{','.join(pairs_not_available)}] not available "
f"on exchange {exchange.name}.")
def __init__(self, config: Dict[str, Any]) -> None:
LoggingMixin.show_output = False
self.config = config
self.results: Dict[str, Any] = {}
config['dry_run'] = True
self.run_ids: Dict[str, str] = {}
self.strategylist: List[IStrategy] = []
self.all_results: Dict[str, Dict] = {}
self.exchange = ExchangeResolver.load_exchange(
self.config['exchange']['name'], self.config)
self.dataprovider = DataProvider(self.config, self.exchange)
if self.config.get('strategy_list', None):
for strat in list(self.config['strategy_list']):
stratconf = deepcopy(self.config)
stratconf['strategy'] = strat
self.strategylist.append(
StrategyResolver.load_strategy(stratconf))
validate_config_consistency(stratconf)
else:
# No strategy list specified, only one strategy
self.strategylist.append(
StrategyResolver.load_strategy(self.config))
validate_config_consistency(self.config)
if "timeframe" not in self.config:
raise OperationalException(
"Timeframe (ticker interval) needs to be set in either "
"configuration or as cli argument `--timeframe 5m`")
self.timeframe = str(self.config.get('timeframe'))
self.timeframe_min = timeframe_to_minutes(self.timeframe)
self.init_backtest_detail()
self.pairlists = PairListManager(self.exchange, self.config)
if 'VolumePairList' in self.pairlists.name_list:
raise OperationalException(
"VolumePairList not allowed for backtesting. "
"Please use StaticPairlist instead.")
if 'PerformanceFilter' in self.pairlists.name_list:
raise OperationalException(
"PerformanceFilter not allowed for backtesting.")
if len(self.strategylist
) > 1 and 'PrecisionFilter' in self.pairlists.name_list:
raise OperationalException(
"PrecisionFilter not allowed for backtesting multiple strategies."
)
self.dataprovider.add_pairlisthandler(self.pairlists)
self.pairlists.refresh_pairlist()
if len(self.pairlists.whitelist) == 0:
raise OperationalException("No pair in whitelist.")
if config.get('fee', None) is not None:
self.fee = config['fee']
else:
self.fee = self.exchange.get_fee(
symbol=self.pairlists.whitelist[0])
self.timerange = TimeRange.parse_timerange(None if self.config.get(
'timerange') is None else str(self.config.get('timerange')))
# Get maximum required startup period
self.required_startup = max(
[strat.startup_candle_count for strat in self.strategylist])
# Add maximum startup candle count to configuration for informative pairs support
self.config['startup_candle_count'] = self.required_startup
self.exchange.validate_required_startup_candles(
self.required_startup, self.timeframe)
self.init_backtest()
def start_download_data(args: Dict[str, Any]) -> None:
"""
Download data (former download_backtest_data.py script)
"""
config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
if 'days' in config and 'timerange' in config:
raise OperationalException(
"--days and --timerange are mutually exclusive. "
"You can only specify one or the other.")
timerange = TimeRange()
if 'days' in config:
time_since = arrow.utcnow().shift(
days=-config['days']).strftime("%Y%m%d")
timerange = TimeRange.parse_timerange(f'{time_since}-')
if 'timerange' in config:
timerange = timerange.parse_timerange(config['timerange'])
if 'pairs' not in config:
raise OperationalException(
"Downloading data requires a list of pairs. "
"Please check the documentation on how to configure this.")
logger.info(f"About to download pairs: {config['pairs']}, "
f"intervals: {config['timeframes']} to {config['datadir']}")
pairs_not_available: List[str] = []
# Init exchange
exchange = ExchangeResolver.load_exchange(config['exchange']['name'],
config,
validate=False)
# Manual validations of relevant settings
exchange.validate_pairs(config['pairs'])
for timeframe in config['timeframes']:
exchange.validate_timeframes(timeframe)
try:
if config.get('download_trades'):
pairs_not_available = refresh_backtest_trades_data(
exchange,
pairs=config['pairs'],
datadir=config['datadir'],
timerange=timerange,
erase=bool(config.get('erase')),
data_format=config['dataformat_trades'])
# Convert downloaded trade data to different timeframes
convert_trades_to_ohlcv(
pairs=config['pairs'],
timeframes=config['timeframes'],
datadir=config['datadir'],
timerange=timerange,
erase=bool(config.get('erase')),
data_format_ohlcv=config['dataformat_ohlcv'],
data_format_trades=config['dataformat_trades'],
)
else:
pairs_not_available = refresh_backtest_ohlcv_data(
exchange,
pairs=config['pairs'],
timeframes=config['timeframes'],
datadir=config['datadir'],
timerange=timerange,
erase=bool(config.get('erase')),
data_format=config['dataformat_ohlcv'])
except KeyboardInterrupt:
sys.exit("SIGINT received, aborting ...")
finally:
if pairs_not_available:
logger.info(
f"Pairs [{','.join(pairs_not_available)}] not available "
f"on exchange {exchange.name}.")
def get_exchange(config=Depends(get_config)):
if not ApiServer._exchange:
from freqtrade.resolvers import ExchangeResolver
ApiServer._exchange = ExchangeResolver.load_exchange(
config['exchange']['name'], config)
return ApiServer._exchange
def __init__(self, config: Dict[str, Any]) -> None:
"""
Init all variables and objects the bot needs to work
:param config: configuration dict, you can use Configuration.get_config()
to get the config dict.
"""
logger.info('Starting freqtrade %s', __version__)
# Init bot state
self.state = State.STOPPED
# Init objects
self.config = config
self._heartbeat_msg = 0
self.heartbeat_interval = self.config.get('internals', {}).get(
'heartbeat_interval', 60)
self.strategy: IStrategy = StrategyResolver.load_strategy(self.config)
# Check config consistency here since strategies can set certain options
validate_config_consistency(config)
self.exchange = ExchangeResolver.load_exchange(
self.config['exchange']['name'], self.config)
persistence.init(self.config.get('db_url', None),
clean_open_orders=self.config['dry_run'])
self.wallets = Wallets(self.config, self.exchange)
self.dataprovider = DataProvider(self.config, self.exchange)
# Attach Dataprovider to Strategy baseclass
IStrategy.dp = self.dataprovider
# Attach Wallets to Strategy baseclass
IStrategy.wallets = self.wallets
self.pairlists = PairListManager(self.exchange, self.config)
# Initializing Edge only if enabled
self.edge = Edge(self.config, self.exchange, self.strategy) if \
self.config.get('edge', {}).get('enabled', False) else None
self.active_pair_whitelist = self._refresh_whitelist()
# Set initial bot state from config
initial_state = self.config.get('initial_state')
self.state = State[
initial_state.upper()] if initial_state else State.STOPPED
# RPC runs in separate threads, can start handling external commands just after
# initialization, even before Freqtradebot has a chance to start its throttling,
# so anything in the Freqtradebot instance should be ready (initialized), including
# the initial state of the bot.
# Keep this at the end of this initialization method.
self.rpc: RPCManager = RPCManager(self)
# Protect sell-logic from forcesell and viceversa
self._sell_lock = Lock()
config['exchange']['pair_whitelist'] = [
f'.*/{STAKE_CURRENCY}',
]
config['exchange']['pair_blacklist'] = [
'^(.*USD|USDC|AUD|BRZ|CAD|CHF|EUR|GBP|HKD|SGD|TRY|ZAR|TUSD)/.*', 'PAX/.*',
'DAI/.*', 'PAXG/.*', ".*UP/USDT", ".*DOWN/USDT", ".*BEAR/USDT",
".*BULL/USDT"
]
config['pairlists'] = [
{
"method": "StaticPairList",
},
]
exchange = ExchangeResolver.load_exchange(config['exchange']['name'],
config,
validate=False)
pairlists = PairListManager(exchange, config)
pairlists.refresh_pairlist()
pairs = pairlists.whitelist
data_location = Path(config['user_data_dir'], 'data',
config['exchange']['name'])
print(f"found {str(len(pairs))} pairs on {config['exchange']['name']}")
DATE_FORMAT = '%Y%m%d'
DATE_TIME_FORMAT = '%Y%m%d %H:%M:%S'
def get_data_slices_dates(df, start_date_str, end_date_str, interval):
# df_start_date = df.date.min()
def start_list_markets(args: Dict[str, Any], pairs_only: bool = False) -> None:
"""
Print pairs/markets on the exchange
:param args: Cli args from Arguments()
:param pairs_only: if True print only pairs, otherwise print all instruments (markets)
:return: None
"""
config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
# Init exchange
exchange = ExchangeResolver.load_exchange(config['exchange']['name'],
config,
validate=False)
# By default only active pairs/markets are to be shown
active_only = not args.get('list_pairs_all', False)
base_currencies = args.get('base_currencies', [])
quote_currencies = args.get('quote_currencies', [])
try:
pairs = exchange.get_markets(base_currencies=base_currencies,
quote_currencies=quote_currencies,
pairs_only=pairs_only,
active_only=active_only)
# Sort the pairs/markets by symbol
pairs = dict(sorted(pairs.items()))
except Exception as e:
raise OperationalException(f"Cannot get markets. Reason: {e}") from e
else:
summary_str = (
(f"Exchange {exchange.name} has {len(pairs)} ") +
("active " if active_only else "") +
(plural(len(pairs), "pair" if pairs_only else "market")) +
(f" with {', '.join(base_currencies)} as base "
f"{plural(len(base_currencies), 'currency', 'currencies')}"
if base_currencies else "") +
(" and" if base_currencies and quote_currencies else "") +
(f" with {', '.join(quote_currencies)} as quote "
f"{plural(len(quote_currencies), 'currency', 'currencies')}"
if quote_currencies else ""))
headers = [
"Id", "Symbol", "Base", "Quote", "Active",
*(['Is pair'] if not pairs_only else [])
]
tabular_data = []
for _, v in pairs.items():
tabular_data.append({
'Id':
v['id'],
'Symbol':
v['symbol'],
'Base':
v['base'],
'Quote':
v['quote'],
'Active':
market_is_active(v),
**({
'Is pair': exchange.market_is_tradable(v)
} if not pairs_only else {})
})
if (args.get('print_one_column', False)
or args.get('list_pairs_print_json', False)
or args.get('print_csv', False)):
# Print summary string in the log in case of machine-readable
# regular formats.
logger.info(f"{summary_str}.")
else:
# Print empty string separating leading logs and output in case of
# human-readable formats.
print()
if pairs:
if args.get('print_list', False):
# print data as a list, with human-readable summary
print(f"{summary_str}: {', '.join(pairs.keys())}.")
elif args.get('print_one_column', False):
print('\n'.join(pairs.keys()))
elif args.get('list_pairs_print_json', False):
print(rapidjson.dumps(list(pairs.keys()), default=str))
elif args.get('print_csv', False):
writer = csv.DictWriter(sys.stdout, fieldnames=headers)
writer.writeheader()
writer.writerows(tabular_data)
else:
# print data as a table, with the human-readable summary
print(f"{summary_str}:")
print(
tabulate(tabular_data,
headers='keys',
tablefmt='psql',
stralign='right'))
elif not (args.get('print_one_column', False)
or args.get('list_pairs_print_json', False)
or args.get('print_csv', False)):
print(f"{summary_str}.")
