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btplotting

Library to add extended plotting capabilities to backtrader (https://www.backtrader.com/) using bokeh.

btplotting is based on the awesome backtrader_plotting (https://github.com/verybadsoldier/backtrader_plotting)

btplotting is a complete rework of backtrader_plotting with the live client in focus. 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
  • 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
  • Interactive backtrader optimization result browser (only supported for single-strategy runs)
  • Highly configurable
  • Different skinnable themes
  • Easy to use

Python >= 3.6 is required.

How to use

  • Add to cele as an analyzer:
frombtplottingimportBacktraderPlottingLive
...
...
cerebro=bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(LiveDataStream())
cerebro.addanalyzer(BacktraderPlottingLive)
cerebro.run()
cerebro.plot()
  • If you need to change the default port or share the plotting to public:
cerebro.addanalyzer(BacktraderPlottingLive, address="*", port=8889)

Demos

https://happydasch.github.io/btplotting/

Installation

pip install git+https://github.com/happydasch/btplotting

Sponsoring

If you want to support the development of btplotting, consider to support this project.

About

btplotting provides plotting for backtests, optimization results and live data from backtrader.

Resources

Readme
GPL-3.0 license

Contributing

Contributing
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
btplotting
Library to add extended plotting capabilities to backtrader (https://www.backtrader.com/) using bokeh.
btplotting is based on the awesome backtrader_plotting (https://github.com/verybadsoldier/backtrader_plotting)
btplotting is a complete rework of backtrader_plotting with the live client in focus. 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
  • 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
  • Interactive backtrader optimization result browser (only supported for single-strategy runs)
  • Highly configurable
  • Different skinnable themes
  • Easy to use
Python >= 3.6 is required.
How to use
  • Add to cele as an analyzer:
frombtplottingimportBacktraderPlottingLive
...
...
cerebro=bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(LiveDataStream())
cerebro.addanalyzer(BacktraderPlottingLive)
cerebro.run()
cerebro.plot()
  • If you need to change the default port or share the plotting to public:
cerebro.addanalyzer(BacktraderPlottingLive, address="*", port=8889)
Demos
https://happydasch.github.io/btplotting/
Installation
pip install git+https://github.com/happydasch/btplotting
Sponsoring
If you want to support the development of btplotting, consider to support this project.
About
btplotting provides plotting for backtests, optimization results and live data from backtrader.
Resources
Readme
GPL-3.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
btplotting
Library to add extended plotting capabilities to backtrader (https://www.backtrader.com/) using bokeh.
btplotting is based on the awesome backtrader_plotting (https://github.com/verybadsoldier/backtrader_plotting)
btplotting is a complete rework of backtrader_plotting with the live client in focus. 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
  • 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
  • Interactive backtrader optimization result browser (only supported for single-strategy runs)
  • Highly configurable
  • Different skinnable themes
  • Easy to use
Python >= 3.6 is required.
How to use
  • Add to cele as an analyzer:
frombtplottingimportBacktraderPlottingLive
...
...
cerebro=bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(LiveDataStream())
cerebro.addanalyzer(BacktraderPlottingLive)
cerebro.run()
cerebro.plot()
  • If you need to change the default port or share the plotting to public:
cerebro.addanalyzer(BacktraderPlottingLive, address="*", port=8889)
Demos
https://happydasch.github.io/btplotting/
Installation
pip install git+https://github.com/happydasch/btplotting
Sponsoring
If you want to support the development of btplotting, consider to support this project.
About
btplotting provides plotting for backtests, optimization results and live data from backtrader.
Resources
Readme
GPL-3.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
btplotting
Library to add extended plotting capabilities to backtrader (https://www.backtrader.com/) using bokeh.
btplotting is based on the awesome backtrader_plotting (https://github.com/verybadsoldier/backtrader_plotting)
btplotting is a complete rework of backtrader_plotting with the live client in focus. 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
  • 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
  • Interactive backtrader optimization result browser (only supported for single-strategy runs)
  • Highly configurable
  • Different skinnable themes
  • Easy to use
Python >= 3.6 is required.
How to use
  • Add to cele as an analyzer:
frombtplottingimportBacktraderPlottingLive
...
...
cerebro=bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(LiveDataStream())
cerebro.addanalyzer(BacktraderPlottingLive)
cerebro.run()
cerebro.plot()
  • If you need to change the default port or share the plotting to public:
cerebro.addanalyzer(BacktraderPlottingLive, address="*", port=8889)
Demos
https://happydasch.github.io/btplotting/
Installation
pip install git+https://github.com/happydasch/btplotting
Sponsoring
If you want to support the development of btplotting, consider to support this project.
About
btplotting provides plotting for backtests, optimization results and live data from backtrader.
Resources
Readme
GPL-3.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
btplotting
Library to add extended plotting capabilities to backtrader (https://www.backtrader.com/) using bokeh.
btplotting is based on the awesome backtrader_plotting (https://github.com/verybadsoldier/backtrader_plotting)
btplotting is a complete rework of backtrader_plotting with the live client in focus. 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
  • 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
  • Interactive backtrader optimization result browser (only supported for single-strategy runs)
  • Highly configurable
  • Different skinnable themes
  • Easy to use
Python >= 3.6 is required.
How to use
  • Add to cele as an analyzer:
frombtplottingimportBacktraderPlottingLive
...
...
cerebro=bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(LiveDataStream())
cerebro.addanalyzer(BacktraderPlottingLive)
cerebro.run()
cerebro.plot()
  • If you need to change the default port or share the plotting to public:
cerebro.addanalyzer(BacktraderPlottingLive, address="*", port=8889)
Demos
https://happydasch.github.io/btplotting/
Installation
pip install git+https://github.com/happydasch/btplotting
Sponsoring
If you want to support the development of btplotting, consider to support this project.
About
btplotting provides plotting for backtests, optimization results and live data from backtrader.
Resources
Readme
GPL-3.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
btplotting
Library to add extended plotting capabilities to backtrader (https://www.backtrader.com/) using bokeh.
btplotting is based on the awesome backtrader_plotting (https://github.com/verybadsoldier/backtrader_plotting)
btplotting is a complete rework of backtrader_plotting with the live client in focus. 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
  • 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
  • Interactive backtrader optimization result browser (only supported for single-strategy runs)
  • Highly configurable
  • Different skinnable themes
  • Easy to use
Python >= 3.6 is required.
How to use
  • Add to cele as an analyzer:
frombtplottingimportBacktraderPlottingLive
...
...
cerebro=bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(LiveDataStream())
cerebro.addanalyzer(BacktraderPlottingLive)
cerebro.run()
cerebro.plot()
  • If you need to change the default port or share the plotting to public:
cerebro.addanalyzer(BacktraderPlottingLive, address="*", port=8889)
Demos
https://happydasch.github.io/btplotting/
Installation
pip install git+https://github.com/happydasch/btplotting
Sponsoring
If you want to support the development of btplotting, consider to support this project.
About
btplotting provides plotting for backtests, optimization results and live data from backtrader.
Resources
Readme
GPL-3.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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btplotting
Library to add extended plotting capabilities to backtrader (https://www.backtrader.com/) using bokeh.
btplotting is based on the awesome backtrader_plotting (https://github.com/verybadsoldier/backtrader_plotting)
btplotting is a complete rework of backtrader_plotting with the live client in focus. 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
  • 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
  • Interactive backtrader optimization result browser (only supported for single-strategy runs)
  • Highly configurable
  • Different skinnable themes
  • Easy to use
Python >= 3.6 is required.
How to use
  • Add to cele as an analyzer:
frombtplottingimportBacktraderPlottingLive
...
...
cerebro=bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(LiveDataStream())
cerebro.addanalyzer(BacktraderPlottingLive)
cerebro.run()
cerebro.plot()
  • If you need to change the default port or share the plotting to public:
cerebro.addanalyzer(BacktraderPlottingLive, address="*", port=8889)
Demos
https://happydasch.github.io/btplotting/
Installation
pip install git+https://github.com/happydasch/btplotting
Sponsoring
If you want to support the development of btplotting, consider to support this project.
About
btplotting provides plotting for backtests, optimization results and live data from backtrader.
Resources
Readme
GPL-3.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
btplotting
Library to add extended plotting capabilities to backtrader (https://www.backtrader.com/) using bokeh.
btplotting is based on the awesome backtrader_plotting (https://github.com/verybadsoldier/backtrader_plotting)
btplotting is a complete rework of backtrader_plotting with the live client in focus. 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
  • 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
  • Interactive backtrader optimization result browser (only supported for single-strategy runs)
  • Highly configurable
  • Different skinnable themes
  • Easy to use
Python >= 3.6 is required.
How to use
  • Add to cele as an analyzer:
frombtplottingimportBacktraderPlottingLive
...
...
cerebro=bt.Cerebro()
cerebro.addstrategy(MyStrategy)
cerebro.adddata(LiveDataStream())
cerebro.addanalyzer(BacktraderPlottingLive)
cerebro.run()
cerebro.plot()
  • If you need to change the default port or share the plotting to public:
cerebro.addanalyzer(BacktraderPlottingLive, address="*", port=8889)
Demos
https://happydasch.github.io/btplotting/
Installation
pip install git+https://github.com/happydasch/btplotting
Sponsoring
If you want to support the development of btplotting, consider to support this project.
About
btplotting provides plotting for backtests, optimization results and live data from backtrader.
Resources
Readme
GPL-3.0 license
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages