Use add_profit in script

This commit is contained in:
Matthias 2019-06-30 10:25:48 +02:00
parent 5a11ffcad8
commit 0b517584aa
3 changed files with 10 additions and 22 deletions

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@ -7,7 +7,7 @@ import pandas as pd
from freqtrade.arguments import Arguments
from freqtrade.exchange import Exchange
from freqtrade.data import history
from freqtrade.data.btanalysis import load_trades, create_cum_profit
from freqtrade.data.btanalysis import load_trades
from freqtrade.resolvers import ExchangeResolver, StrategyResolver
logger = logging.getLogger(__name__)

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@ -5,13 +5,13 @@ from unittest.mock import MagicMock
import plotly.graph_objs as go
from plotly import tools
from freqtrade.arguments import TimeRange, Arguments
from freqtrade.arguments import Arguments, TimeRange
from freqtrade.data import history
from freqtrade.data.btanalysis import load_backtest_data, create_cum_profit
from freqtrade.plot.plotting import (generate_candlestick_graph,
store_plot_file, add_profit,
generate_plot_filename, add_indicators,
plot_trades)
from freqtrade.data.btanalysis import create_cum_profit, load_backtest_data
from freqtrade.plot.plotting import (add_indicators, add_profit,
generate_candlestick_graph,
generate_plot_filename, plot_trades,
store_plot_file)
from freqtrade.strategy.default_strategy import DefaultStrategy
from freqtrade.tests.conftest import log_has, log_has_re

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@ -8,14 +8,13 @@ import logging
import sys
from typing import Any, Dict, List
import pandas as pd
import plotly.graph_objs as go
from plotly import tools
from freqtrade.arguments import ARGS_PLOT_PROFIT, Arguments
from freqtrade.data.btanalysis import create_cum_profit, combine_tickers_with_mean
from freqtrade.optimize import setup_configuration
from freqtrade.plot.plotting import FTPlots, store_plot_file
from freqtrade.plot.plotting import FTPlots, store_plot_file, add_profit
from freqtrade.state import RunMode
logger = logging.getLogger(__name__)
@ -48,27 +47,16 @@ def plot_profit(config: Dict[str, Any]) -> None:
name='Avg close price',
)
profit = go.Scattergl(
x=df_comb.index,
y=df_comb['cum_profit'],
name='Profit',
)
fig = tools.make_subplots(rows=3, cols=1, shared_xaxes=True, row_width=[1, 1, 1])
fig.append_trace(avgclose, 1, 1)
fig.append_trace(profit, 2, 1)
fig = add_profit(fig, 2, df_comb, 'cum_profit', 'Profit')
for pair in plot.pairs:
profit_col = f'cum_profit_{pair}'
df_comb = create_cum_profit(df_comb, trades[trades['pair'] == pair], profit_col)
pair_profit = go.Scattergl(
x=df_comb.index,
y=df_comb[profit_col],
name=f"Profit {pair}",
)
fig.append_trace(pair_profit, 3, 1)
fig = add_profit(fig, 3, df_comb, profit_col, f"Profit {pair}")
store_plot_file(fig, filename='freqtrade-profit-plot.html', auto_open=True)