stable/freqtrade/plot/plotting.py

229 lines
6.7 KiB
Python

import logging
from typing import List
import pandas as pd
from pathlib import Path
logger = logging.getLogger(__name__)
try:
from plotly import tools
from plotly.offline import plot
import plotly.graph_objs as go
except ImportError:
logger.exception("Module plotly not found \n Please install using `pip install plotly`")
exit(1)
def generate_row(fig, row, indicators: List[str], data: pd.DataFrame) -> tools.make_subplots:
"""
Generator all the indicator selected by the user for a specific row
:param fig: Plot figure to append to
:param row: row number for this plot
:param indicators: List of indicators present in the dataframe
:param data: candlestick DataFrame
"""
for indicator in indicators:
if indicator in data:
# TODO: Figure out why scattergl causes problems
scattergl = go.Scatter(
x=data['date'],
y=data[indicator].values,
mode='lines',
name=indicator
)
fig.append_trace(scattergl, row, 1)
else:
logger.info(
'Indicator "%s" ignored. Reason: This indicator is not found '
'in your strategy.',
indicator
)
return fig
def plot_trades(fig, trades: pd.DataFrame):
"""
Plot trades to "fig"
"""
# Trades can be empty
if trades is not None and len(trades) > 0:
trade_buys = go.Scatter(
x=trades["open_time"],
y=trades["open_rate"],
mode='markers',
name='trade_buy',
marker=dict(
symbol='square-open',
size=11,
line=dict(width=2),
color='green'
)
)
# Create description for sell summarizing the trade
desc = trades.apply(lambda row: f"{round(row['profitperc'], 3)}%, {row['sell_reason']}, "
f"{row['duration']}min",
axis=1)
trade_sells = go.Scatter(
x=trades["close_time"],
y=trades["close_rate"],
text=desc,
mode='markers',
name='trade_sell',
marker=dict(
symbol='square-open',
size=11,
line=dict(width=2),
color='red'
)
)
fig.append_trace(trade_buys, 1, 1)
fig.append_trace(trade_sells, 1, 1)
else:
logger.warning("No trades found.")
return fig
def generate_candlestick_graph(
pair: str,
data: pd.DataFrame,
trades: pd.DataFrame = None,
indicators1: List[str] = [],
indicators2: List[str] = [],
) -> go.Figure:
"""
Generate the graph from the data generated by Backtesting or from DB
Volume will always be ploted in row2, so Row 1 and 3 are to our disposal for custom indicators
:param pair: Pair to Display on the graph
:param data: OHLCV DataFrame containing indicators and buy/sell signals
:param trades: All trades created
:param indicators1: List containing Main plot indicators
:param indicators2: List containing Sub plot indicators
:return: None
"""
# Define the graph
fig = tools.make_subplots(
rows=3,
cols=1,
shared_xaxes=True,
row_width=[1, 1, 4],
vertical_spacing=0.0001,
)
fig['layout'].update(title=pair)
fig['layout']['yaxis1'].update(title='Price')
fig['layout']['yaxis2'].update(title='Volume')
fig['layout']['yaxis3'].update(title='Other')
fig['layout']['xaxis']['rangeslider'].update(visible=False)
# Common information
candles = go.Candlestick(
x=data.date,
open=data.open,
high=data.high,
low=data.low,
close=data.close,
name='Price'
)
fig.append_trace(candles, 1, 1)
if 'buy' in data.columns:
df_buy = data[data['buy'] == 1]
if len(df_buy) > 0:
buys = go.Scatter(
x=df_buy.date,
y=df_buy.close,
mode='markers',
name='buy',
marker=dict(
symbol='triangle-up-dot',
size=9,
line=dict(width=1),
color='green',
)
)
fig.append_trace(buys, 1, 1)
else:
logger.warning("No buy-signals found.")
if 'sell' in data.columns:
df_sell = data[data['sell'] == 1]
if len(df_sell) > 0:
sells = go.Scatter(
x=df_sell.date,
y=df_sell.close,
mode='markers',
name='sell',
marker=dict(
symbol='triangle-down-dot',
size=9,
line=dict(width=1),
color='red',
)
)
fig.append_trace(sells, 1, 1)
else:
logger.warning("No sell-signals found.")
if 'bb_lowerband' in data and 'bb_upperband' in data:
bb_lower = go.Scattergl(
x=data.date,
y=data.bb_lowerband,
name='BB lower',
line={'color': 'rgba(255,255,255,0)'},
)
bb_upper = go.Scattergl(
x=data.date,
y=data.bb_upperband,
name='BB upper',
fill="tonexty",
fillcolor="rgba(0,176,246,0.2)",
line={'color': 'rgba(255,255,255,0)'},
)
fig.append_trace(bb_lower, 1, 1)
fig.append_trace(bb_upper, 1, 1)
# Add indicators to main plot
fig = generate_row(fig=fig, row=1, indicators=indicators1, data=data)
fig = plot_trades(fig, trades)
# Volume goes to row 2
volume = go.Bar(
x=data['date'],
y=data['volume'],
name='Volume'
)
fig.append_trace(volume, 2, 1)
# Add indicators to seperate row
fig = generate_row(fig=fig, row=3, indicators=indicators2, data=data)
return fig
def generate_plot_filename(pair, ticker_interval) -> str:
pair_name = pair.replace("/", "_")
file_name = 'freqtrade-plot-' + pair_name + '-' + ticker_interval + '.html'
logger.info('Generate plot file for %s', pair)
return file_name
def store_plot_file(fig, filename: str, auto_open: bool = False) -> None:
"""
Generate a plot html file from pre populated fig plotly object
:param fig: Plotly Figure to plot
:param pair: Pair to plot (used as filename and Plot title)
:param ticker_interval: Used as part of the filename
:return: None
"""
Path("user_data/plots").mkdir(parents=True, exist_ok=True)
plot(fig, filename=str(Path('user_data/plots').joinpath(filename)),
auto_open=auto_open)