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backtrader-bokeh-0.8.9
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مشاهده بیشترتوضیحات
Plotting package for Backtrader (Bokeh)
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | backtrader-bokeh-0.8.9 |
| نام | backtrader-bokeh |
| نسخه کتابخانه | 0.8.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Metaer |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://github.com/iniself/backtrader_bokeh |
| آدرس اینترنتی | https://pypi.org/project/backtrader-bokeh/ |
| مجوز | GNU General Public License v3 or later (GPLv3+) |
# Backtrader_Bokeh
**You can visit our wiki homepage for more information: [EN](https://github.com/iniself/backtrader_bokeh/wiki) | [中文](https://github.com/iniself/backtrader_bokeh/wiki/wiki-zh)**
`Backtrader_Bokeh` to add extended plotting capabilities to [Backtrader](https://www.backtrader.com/) using [Bokeh](https://bokeh.org/) based on the awesome [backtrader_plotting](https://github.com/verybadsoldier/backtrader_plotting) and [btplotting](https://github.com/happydasch/btplotting). Besides this, a lot of issues are fixed and new functionality is added. See the list below for differences.
**What is different:**
Basic:
* No need for custom backtrader
* Different naming / structure
* Different data generation which allows to generate data for different data sources.
This is useful when replaying or resampling data, for example to remove gaps.
* Different filtering of plot objects
* Support for replay data
* Every figure has its own ColumnDataSource, so the live client can patch without
having issues with nan values, every figure is updated individually
* Display of plots looks more like backtrader plotting (order, heights, etc.)
* Allows to generate custom columns, which don't have to be hardcoded. This is being used to generate
color for candles, varea values, etc.
* Possibility to fill gaps of higher timeframes with data
Plotting:
* Datas, Indicators, Observer and Volume have own aspect ratios, which can be configured in live client
or scheme
* Different datafeed's plot sytle can be customize separately
* Only one axis for volume will be added when using multiple data sources on one figure
* Volume axis position is configureable in scheme, by default it is being plotted on the right side
* Linked Crosshair across all figures
* fill_gt, fill_lt, fill support
* Plot objects can be filtered by one or more datanames or by plot group
* Custom plot group, which can be configured in app or in live client by providing all
plotids in a comma-seperated list or by selecting the parts of the plot to display
Tabs:
* Default tabs can be completely removed
* New log panel to also include logging information
* Can be extended with custom tabs (for example order execution with live client, custom analysis, etc.)
Live plotting:
* Navigation in live client (Pause, Backward, Forward)
* Live plotting is done using an analyzer, so there is no need to use custom backtrader
* Live plotting data update works in a single thread and is done by a DataHandler
* Data update is being done every n seconds, which is configureable
## Features
* Interactive plots
* Support keyboard operation
* Interactive `backtrader` optimization result browser (only supported for single-strategy runs)
* Highly configurable
* Different skinnable themes
* In addition to OHLC, additional datafeed line can be ploted
* Easy to use
## Bug fixed
Some examples, more detail in CHANGELOG.md
* Many bugs in Backtrader that have not been still fixed, Backtrader_Bokeh fixed those through Monkey Patch
* Because of optbrowser address and port assignment problem, if port 80 is occupied, the web page will not be opened in the optimization mode. *\* live mode is the same way*
* Very imortant, fixed the legend can't be displayed in the observer or indicators's figuer
* And more...
***
Python >= 3.6 is required.
## How to use
Just give **Live Mode** example, about **Normal Mode** and **Optstrategy Mode** pls refer to [wiki-en](https://github.com/iniself/backtrader_bokeh/wiki) | [wiki-中文](https://github.com/iniself/backtrader_bokeh/wiki/wiki-zh)
* Add to cerebro as an analyzer **(Live Mode)**:
```python
from backtrader_bokeh import bt
...
...
cerebro = bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(LiveDataStream()) # Note! Data is must Live Data
cerebro.addanalyzer(bt.analyzers.Live, force_plot_legend=True, autostart=True)
cerebro.run()
# cerebro.plot() # do not run this line unless your data is not real-time
```
* If you need to change the default port or share the plotting to public:
```python
cerebro.addanalyzer(bt.analyzers.Live, address="localhost", port=8889)
```
## Jupyter
In Jupyter you can plut to a single browser tab with iplot=False:
```python
from backtrader_bokeh import bt
plot = bt.Bokeh()
cerebro.plot(plot, iplot=False)
```
You may encounters TypeError: `<class '__main__.YourStrategyClass'>` is a built-in class error.
To remove the source code tab use:
```python
from backtrader_bokeh import bt
plot = bt.Bokeh()
plot.tabs.remove(bt.tabs.SourceTab)
cerebro.plot(plot, iplot=False)
```
## Demos
<https://iniself.github.io/backtrader_bokeh/>
## Contact us
Telegram Channel: [Aui_Say](https://t.me/aui_say)
Discord Server: [Aui and Friends](https://discord.gg/dhp8uzKSfR)
## Installation
`pip install backtrader_bokeh`
or
`pip install git+https://github.com/iniself/backtrader_bokeh`
## Sponsoring
If you want to support the development of backtrader_bokeh, consider to support this project.
* ETH: 0x0275779f70179748C6fCe1Fe5D7638DfA7e3F986
نیازمندی
| مقدار | نام |
|---|---|
| - | backtrader |
| <3.0.0,>=2.4.3 | bokeh |
| - | jinja2 |
| - | pandas |
| ~=3.2.2 | matplotlib |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl backtrader-bokeh-0.8.9:
pip install backtrader-bokeh-0.8.9.whl
نصب پکیج tar.gz backtrader-bokeh-0.8.9:
pip install backtrader-bokeh-0.8.9.tar.gz