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Added suppoort for regex in whitelist

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nas-
2021-01-12 01:13:58 +01:00
parent dbc25f00ac
commit 4d7ffa8c81
9 changed files with 93 additions and 51 deletions
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14
freqtrade/plot/plotting.py
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@@ -13,6 +13,7 @@ from freqtrade.data.history import get_timerange, load_data
from freqtrade.exceptions import OperationalException
from freqtrade.exchange import timeframe_to_prev_date, timeframe_to_seconds
from freqtrade.misc import pair_to_filename
from freqtrade.plugins.pairlist.pairlist_helpers import expand_pairlist
from freqtrade.resolvers import ExchangeResolver, StrategyResolver
from freqtrade.strategy import IStrategy
@@ -29,16 +30,16 @@ except ImportError:
exit(1)
def init_plotscript(config, startup_candles: int = 0):
def init_plotscript(config, markets: List, startup_candles: int = 0):
"""
Initialize objects needed for plotting
:return: Dict with candle (OHLCV) data, trades and pairs
"""
if "pairs" in config:
pairs = config['pairs']
pairs = expand_pairlist(config['pairs'], markets)
else:
pairs = config['exchange']['pair_whitelist']
pairs = expand_pairlist(config['exchange']['pair_whitelist'], markets)
# Set timerange to use
timerange = TimeRange.parse_timerange(config.get('timerange'))
@@ -177,7 +178,7 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
trades['desc'] = trades.apply(lambda row: f"{round(row['profit_percent'] * 100, 1)}%, "
f"{row['sell_reason']}, "
f"{row['trade_duration']} min",
axis=1)
axis=1)
trade_buys = go.Scatter(
x=trades["open_date"],
y=trades["open_rate"],
@@ -527,7 +528,7 @@ def load_and_plot_trades(config: Dict[str, Any]):
exchange = ExchangeResolver.load_exchange(config['exchange']['name'], config)
IStrategy.dp = DataProvider(config, exchange)
plot_elements = init_plotscript(config, strategy.startup_candle_count)
plot_elements = init_plotscript(config, list(exchange.markets), strategy.startup_candle_count)
timerange = plot_elements['timerange']
trades = plot_elements['trades']
pair_counter = 0
@@ -562,7 +563,8 @@ def plot_profit(config: Dict[str, Any]) -> None:
But should be somewhat proportional, and therefor useful
in helping out to find a good algorithm.
"""
plot_elements = init_plotscript(config)
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.