Files
catalyst/catalyst/exchange/utils/live_chart_utils.py
T
2017-12-29 18:43:22 -05:00

132 lines
2.9 KiB
Python

import matplotlib.dates as mdates
import pandas as pd
from catalyst.exchange.exchange_errors import \
MismatchingBaseCurrenciesExchanges
fmt = mdates.DateFormatter('%Y-%m-%d %H:%M')
def format_ax(ax):
"""
Trying to assign reasonable parameters to the time axis.
Parameters
----------
ax:
"""
# TODO: room for improvement
ax.xaxis.set_major_locator(mdates.DayLocator(interval=1))
ax.xaxis.set_major_formatter(fmt)
locator = mdates.HourLocator(interval=4)
locator.MAXTICKS = 5000
ax.xaxis.set_minor_locator(locator)
datemin = pd.Timestamp.utcnow()
ax.set_xlim(datemin)
ax.grid(True)
def set_legend(ax):
"""
Set legend on the chart.
Parameters
----------
ax
"""
ax.legend(loc='upper left', ncol=1, fontsize=10, numpoints=1)
def draw_pnl(ax, df):
"""
Draw p&l line on the chart.
"""
ax.clear()
ax.set_title('Performance')
index = df.index.unique()
dt = index.get_level_values(level=0)
pnl = index.get_level_values(level=4)
ax.plot(
dt, pnl, '-',
color='green',
linewidth=1.0,
label='Performance'
)
def perc(val):
return '{:2f}'.format(val)
ax.format_ydata = perc
set_legend(ax)
format_ax(ax)
def draw_custom_signals(ax, df):
"""
Draw custom signals on the chart.
"""
colors = ['blue', 'green', 'red', 'black', 'orange', 'yellow', 'pink']
ax.clear()
ax.set_title('Custom Signals')
for index, column in enumerate(df.columns.values.tolist()):
ax.plot(df.index, df[column], '-',
color=colors[index],
linewidth=1.0,
label=column
)
set_legend(ax)
format_ax(ax)
def draw_exposure(ax, df, context):
"""
Draw exposure line on the chart.
"""
# TODO: list exchanges in graph
base_currency = None
positions = []
for exchange_name in context.exchanges:
exchange = context.exchanges[exchange_name]
if not base_currency:
base_currency = exchange.base_currency
elif base_currency != exchange.base_currency:
raise MismatchingBaseCurrenciesExchanges(
base_currency=base_currency,
exchange_name=exchange.name,
exchange_currency=exchange.base_currency
)
positions += exchange.portfolio.positions
ax.clear()
ax.set_title('Exposure')
ax.plot(df.index, df['base_currency'], '-',
color='green',
linewidth=1.0,
label='Base Currency: {}'.format(base_currency.upper())
)
symbols = []
for position in positions:
symbols.append(position.symbol)
ax.plot(df.index, df['long_exposure'], '-',
color='blue',
linewidth=1.0,
label='Long Exposure: {}'.format(', '.join(symbols).upper()))
set_legend(ax)
format_ax(ax)