@@ -5,8 +5,9 @@ from typing import Any, Dict, List
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import pandas as pd
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from freqtrade.configuration import TimeRange
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from freqtrade.data.btanalysis import (calculate_max_drawdown, combine_dataframes_with_mean,
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create_cum_profit, extract_trades_of_period, load_trades)
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from freqtrade.data.btanalysis import (analyze_trade_parallelism, calculate_max_drawdown,
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combine_dataframes_with_mean, create_cum_profit,
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extract_trades_of_period, load_trades)
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from freqtrade.data.converter import trim_dataframe
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.data.history import get_timerange, load_data
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@@ -185,6 +186,24 @@ def add_max_drawdown(fig, row, trades: pd.DataFrame, df_comb: pd.DataFrame,
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return fig
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def add_parallelism(fig, row, trades: pd.DataFrame, timeframe: str) -> make_subplots:
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"""
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Add Chart showing trade parallelism
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"""
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try:
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result = analyze_trade_parallelism(trades, timeframe)
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drawdown = go.Bar(
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x=result.index,
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y=result['open_trades'],
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name="Parallel trades",
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)
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fig.add_trace(drawdown, row, 1)
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except ValueError:
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logger.warning("No trades found - not plotting Parallelism.")
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return fig
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def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
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"""
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Add trades to "fig"
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@@ -482,20 +501,27 @@ def generate_profit_graph(pairs: str, data: Dict[str, pd.DataFrame],
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name='Avg close price',
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)
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fig = make_subplots(rows=3, cols=1, shared_xaxes=True,
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row_width=[1, 1, 1],
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fig = make_subplots(rows=4, cols=1, shared_xaxes=True,
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row_width=[1, 1, 1, 1],
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vertical_spacing=0.05,
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subplot_titles=["AVG Close Price", "Combined Profit", "Profit per pair"])
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subplot_titles=[
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"AVG Close Price",
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"Combined Profit",
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"Profit per pair",
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"Parallelism"
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])
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fig['layout'].update(title="Freqtrade Profit plot")
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fig['layout']['yaxis1'].update(title='Price')
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fig['layout']['yaxis2'].update(title=f'Profit {stake_currency}')
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fig['layout']['yaxis3'].update(title=f'Profit {stake_currency}')
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fig['layout']['yaxis4'].update(title='Trade count')
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fig['layout']['xaxis']['rangeslider'].update(visible=False)
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fig.update_layout(modebar_add=["v1hovermode", "toggleSpikeLines"])
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fig.add_trace(avgclose, 1, 1)
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fig = add_profit(fig, 2, df_comb, 'cum_profit', 'Profit')
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fig = add_max_drawdown(fig, 2, trades, df_comb, timeframe)
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fig = add_parallelism(fig, 4, trades, timeframe)
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for pair in pairs:
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profit_col = f'cum_profit_{pair}'
|
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|
Reference in New Issue
Block a user