71 lines
2.5 KiB
Python
Executable File
71 lines
2.5 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
|
|
import sys
|
|
import argparse
|
|
import matplotlib # Install PYQT5 manually if you want to test this helper function
|
|
matplotlib.use("Qt5Agg")
|
|
import matplotlib.pyplot as plt
|
|
from freqtrade import exchange, analyze
|
|
from freqtrade.misc import common_args_parser
|
|
|
|
|
|
def plot_parse_args(args ):
|
|
parser = common_args_parser(description='Graph utility')
|
|
parser.add_argument(
|
|
'-p', '--pair',
|
|
help = 'What currency pair',
|
|
dest = 'pair',
|
|
default = 'BTC_ETH',
|
|
type = str,
|
|
)
|
|
return parser.parse_args(args)
|
|
|
|
|
|
def plot_analyzed_dataframe(args) -> None:
|
|
"""
|
|
Calls analyze() and plots the returned dataframe
|
|
:param pair: pair as str
|
|
:return: None
|
|
"""
|
|
pair = args.pair
|
|
|
|
# Init Bittrex to use public API
|
|
exchange._API = exchange.Bittrex({'key': '', 'secret': ''})
|
|
ticker = exchange.get_ticker_history(pair)
|
|
dataframe = analyze.analyze_ticker(ticker)
|
|
|
|
dataframe.loc[dataframe['buy'] == 1, 'buy_price'] = dataframe['close']
|
|
dataframe.loc[dataframe['sell'] == 1, 'sell_price'] = dataframe['close']
|
|
|
|
# Two subplots sharing x axis
|
|
fig, (ax1, ax2, ax3) = plt.subplots(3, sharex=True)
|
|
fig.suptitle(pair, fontsize=14, fontweight='bold')
|
|
ax1.plot(dataframe.index.values, dataframe['close'], label='close')
|
|
# ax1.plot(dataframe.index.values, dataframe['sell'], 'ro', label='sell')
|
|
ax1.plot(dataframe.index.values, dataframe['sma'], '--', label='SMA')
|
|
ax1.plot(dataframe.index.values, dataframe['tema'], ':', label='TEMA')
|
|
ax1.plot(dataframe.index.values, dataframe['blower'], '-.', label='BB low')
|
|
ax1.plot(dataframe.index.values, dataframe['buy_price'], 'bo', label='buy')
|
|
ax1.legend()
|
|
|
|
ax2.plot(dataframe.index.values, dataframe['adx'], label='ADX')
|
|
ax2.plot(dataframe.index.values, dataframe['mfi'], label='MFI')
|
|
# ax2.plot(dataframe.index.values, [25] * len(dataframe.index.values))
|
|
ax2.legend()
|
|
|
|
ax3.plot(dataframe.index.values, dataframe['fastk'], label='k')
|
|
ax3.plot(dataframe.index.values, dataframe['fastd'], label='d')
|
|
ax3.plot(dataframe.index.values, [20] * len(dataframe.index.values))
|
|
ax3.legend()
|
|
|
|
# Fine-tune figure; make subplots close to each other and hide x ticks for
|
|
# all but bottom plot.
|
|
fig.subplots_adjust(hspace=0)
|
|
plt.setp([a.get_xticklabels() for a in fig.axes[:-1]], visible=False)
|
|
plt.show()
|
|
|
|
|
|
if __name__ == '__main__':
|
|
args = plot_parse_args(sys.argv[1:])
|
|
plot_analyzed_dataframe(args)
|