Description
Expected Behavior
Crosshair to show across all plots / subplots - You can see for a particular price, the matching crosshair line to the subchart's RSI value.
Actual Behavior
Crosshair does not show across all plots / subplots - crosshair line does not show in subgraph
Steps to Reproduce
1.Execute the following python code:
import warnings
warnings.simplefilter(action='ignore', category=FutureWarning) # Suppress Future Depreciation Warning in ipynb
from backtesting import Backtest, Strategy
from backtesting.test import GOOG
from backtesting.lib import crossover, plot_heatmaps, resample_apply, barssince
import seaborn as sns # seaborn uses matplotlib
import matplotlib.pyplot as plt
import talib
class RsiOscillator(Strategy):
# parameters for optimization:
upper_bound = 70
lower_bound = 30
rsi_window = 14
def init(self):
price = self.data.Close
self.daily_rsi = self.I(talib.RSI, price, self.rsi_window)
def next(self):
# BarsSince:
# - Tell you how many bars ago it was true
if (
# Daily RSI is greater than upper
self.daily_rsi[-1] > self.upper_bound
and
# 3 days ago the RSI is below upper
barssince(self.daily_rsi < self.upper_bound) == 3
):
self.position.close()
elif (
# crossover(self.lower_bound, self.daily_rsi)
self.lower_bound > self.daily_rsi[-1]
):
self.buy(size=1)
bt = Backtest(GOOG, RsiOscillator, cash = 10_000)
stats = bt.run()
bt.plot()Additional info
Python version: 3.10.4
PIP packages:
appnope==0.1.3
asttokens==2.2.1
backcall==0.2.0
Backtesting==0.3.3
bokeh==3.2.1
comm==0.1.4
contourpy==1.1.0
cycler==0.11.0
debugpy==1.6.7
decorator==5.1.1
executing==1.2.0
fonttools==4.42.0
ipykernel==6.25.0
ipython==8.14.0
jedi==0.19.0
Jinja2==3.1.2
jupyter_client==8.3.0
jupyter_core==5.3.1
kiwisolver==1.4.4
MarkupSafe==2.1.3
matplotlib==3.7.2
matplotlib-inline==0.1.6
nest-asyncio==1.5.7
numpy==1.25.2
packaging==23.1
pandas==2.0.3
parso==0.8.3
pexpect==4.8.0
pickleshare==0.7.5
Pillow==10.0.0
platformdirs==3.10.0
prompt-toolkit==3.0.39
psutil==5.9.5
ptyprocess==0.7.0
pure-eval==0.2.2
Pygments==2.16.1
pyparsing==3.0.9
python-dateutil==2.8.2
pytz==2023.3
PyYAML==6.0.1
pyzmq==25.1.0
seaborn==0.12.2
six==1.16.0
stack-data==0.6.2
TA-Lib==0.4.27
tornado==6.3.2
traitlets==5.9.0
tzdata==2023.3
wcwidth==0.2.6
xyzservices==2023.7.0