backtrader_plotting - GitLite

KO | EN

gitlite — search

#react #ai #typescript #llm #go #android #linux #docker #nodejs #macos #awesome #cli #security #ios

backtrader_plotting

(★ 503)

Plotting addon for backtrader to support Bokeh (and maybe more)

File Explorer

Download Latest Version (.zip)

- - bug_report.md
- - pypi_release.yml
  - run_tests.yml
- - __init__.py
  - annualreturn.py
  - calmar.py
  - drawdown.py
  - leverage.py
  - periodstats.py
  - sharperatio.py
  - sqn.py
  - timereturn.py
  - tradeanalyzers.py
  - transactions.py
  - vwr.py
- - __init__.py
  - bokeh.py
  - bokeh_webapp.py
  - datatable.py
  - figure.py
  - hover_container.py
  - labelizer.py
  - marker.py
  - optbrowser.py
  - utils.py
- - __init__.py
  - metadata.py
- - __init__.py
  - blackly.py
  - btscheme.py
  - scheme.py
  - tradimo.py
- __init__.py
- utils.py
- - orcl-1995-2014.txt
- blackly_single.py
- blackly_tabs.py
- data_live.py
- data_live_multi.py
- data_replay.py
- optimization.py
- optimization_columns.py
- ordered_optimization.py
- tradimo_single.py
- utils.py
- backlog.md
- - __init__.py
  - asserts.py
- - 20170319-20200319-0388.HK.csv
  - NQ.csv
  - nvda-1999-2014.txt
  - orcl-1995-2014.txt
- - __init__.py
  - togglestrategy.py
- test_backtest.py
- test_issue10.py
- test_issue30.py
- test_issue36.py
- test_issue37.py
- test_issue44.py
- test_issue63.py
- test_labelizer.py
- test_plots_lines.py
- testcommon.py
.gitignore
CHANGELOG.md
CONTRIBUTING.md
LICENSE
README.md
requirements-test.txt
requirements.txt
setup.py
tox.ini

# Installation Guide

1. Get the code

git clone https://github.com/verybadsoldier/backtrader_plotting

Downloads the entire project code from GitHub to your computer.

cd backtrader_plotting

Moves into the project folder you just downloaded.

2. Python

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

pip install -r requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요

Runs the Python script (or module).

✅ If it runs without errors and prints output in the terminal, it worked.

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# backtrader_plotting
Library to add extended plotting capabilities to `backtrader` (https://www.backtrader.com/). Currently the only available backend is `Bokeh` (https://bokeh.org/).

## Features
* Interactive plots
* Live trading support (needs custom `backtrader` - refer to the Wiki for further information)
* Data replaying support
* Interactive `backtrader` optimization result browser (only supported for single-strategy runs)
* Customziable tab panels
* Highly configurable
* Different skinnable themes
* Easy to use

Needs Python >= 3.6.

## Demos
Find runnable function demonstrations in folder `demos` or try the live demos here:
https://verybadsoldier.github.io/backtrader_plotting/

## Installation
`pip install backtrader_plotting`

## Quickstart

```python
from backtrader_plotting import Bokeh
from backtrader_plotting.schemes import Tradimo

<your backtrader code>

b = Bokeh(style='bar', plot_mode='single', scheme=Tradimo())
cerebro.plot(b)
```

## Minimal Example
```python
import datetime

import backtrader as bt

from backtrader_plotting import Bokeh

class TestStrategy(bt.Strategy):
    params = (
        ('buydate', 21),
        ('holdtime', 6),
    )

def next(self):
        if len(self.data) == self.p.buydate:
            self.buy(self.datas[0], size=None)

if len(self.data) == self.p.buydate + self.p.holdtime:
            self.sell(self.datas[0], size=None)

if __name__ == '__main__':
    cerebro = bt.Cerebro()

cerebro.addstrategy(TestStrategy, buydate=3)

data = bt.feeds.YahooFinanceCSVData(
        dataname="datas/orcl-1995-2014.txt",
        # Do not pass values before this date
        fromdate=datetime.datetime(2000, 1, 1),
        # Do not pass values after this date
        todate=datetime.datetime(2001, 2, 28),
        reverse=False,
        )
    cerebro.adddata(data)

cerebro.run()

b = Bokeh(style='bar', plot_mode='single')
    cerebro.plot(b)
```

## Plotting Optimization Results
Another way to use this package is to use the `OptBrowser` to browse a `backtrader` optimization result:

```python
...
cerebro.optstrategy(TestStrategy, buydate=range(1, 10, 1))
cerebro.addanalyzer(bt.analyzers.SharpeRatio)
...
res = cerebro.run()
bo = Bokeh()
browser = OptBrowser(bo, result)
browser.start()
```

This will start a Bokeh application (standalone webserver) displaying all optimization results. Different results can be selected and viewed.

It is possible possible to add further user-provided columns.
When dealing with huge amounts of optimization results the number of results can be limited and the remaining results can be sorted by a user-provided function to allow for simple selection of the best results.

## Documentation
Please refert to the Wiki for further documentation: https://github.com/verybadsoldier/backtrader_plotting/wiki