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PyAlgoTrade

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PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus was on backtesting, paper trading is now possible using:

and live trading is now possible using:

To get started with PyAlgoTrade take a look at the tutorial and the full documentation.

Main Features

  • Event driven.
  • Supports Market, Limit, Stop and StopLimit orders.
  • Supports any type of time-series data in CSV format like Yahoo! Finance, Google Finance, Quandl and NinjaTrader.
  • Bitcoin trading support through Bitstamp.
  • Technical indicators and filters like SMA, WMA, EMA, RSI, Bollinger Bands, Hurst exponent and others.
  • Performance metrics like Sharpe ratio and drawdown analysis.
  • Handling Twitter events in realtime.
  • Event profiler.
  • TA-Lib integration.

Installation

PyAlgoTrade is developed using Python 2.7 and depends on:

You can install PyAlgoTrade using pip like this:

pip install pyalgotrade

About

Python Algorithmic Trading Library

gbeced.github.io/pyalgotrade/

Resources

Readme
License
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1 star

Watchers

1 watching

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0 forks
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, '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" + '

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PyAlgoTrade
Build StatusCoverage Status
PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus
was on backtesting, paper trading is now possible using:
and live trading is now possible using:
To get started with PyAlgoTrade take a look at the tutorial and the full documentation.
Main Features
  • Event driven.
  • Supports Market, Limit, Stop and StopLimit orders.
  • Supports any type of time-series data in CSV format like Yahoo! Finance, Google Finance, Quandl and NinjaTrader.
  • Bitcoin trading support through Bitstamp.
  • Technical indicators and filters like SMA, WMA, EMA, RSI, Bollinger Bands, Hurst exponent and others.
  • Performance metrics like Sharpe ratio and drawdown analysis.
  • Handling Twitter events in realtime.
  • Event profiler.
  • TA-Lib integration.
Installation
PyAlgoTrade is developed using Python 2.7 and depends on:
You can install PyAlgoTrade using pip like this:
pip install pyalgotrade

About
Python Algorithmic Trading Library
gbeced.github.io/pyalgotrade/
Resources
Readme
License
Activity
Stars
1 star
Watchers
1 watching
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0 forks
Report repository
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, '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('^' + ".*" + '

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PyAlgoTrade
Build StatusCoverage Status
PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus
was on backtesting, paper trading is now possible using:
and live trading is now possible using:
To get started with PyAlgoTrade take a look at the tutorial and the full documentation.
Main Features
  • Event driven.
  • Supports Market, Limit, Stop and StopLimit orders.
  • Supports any type of time-series data in CSV format like Yahoo! Finance, Google Finance, Quandl and NinjaTrader.
  • Bitcoin trading support through Bitstamp.
  • Technical indicators and filters like SMA, WMA, EMA, RSI, Bollinger Bands, Hurst exponent and others.
  • Performance metrics like Sharpe ratio and drawdown analysis.
  • Handling Twitter events in realtime.
  • Event profiler.
  • TA-Lib integration.
Installation
PyAlgoTrade is developed using Python 2.7 and depends on:
You can install PyAlgoTrade using pip like this:
pip install pyalgotrade

About
Python Algorithmic Trading Library
gbeced.github.io/pyalgotrade/
Resources
Readme
License
Activity
Stars
1 star
Watchers
1 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
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PyAlgoTrade
Build StatusCoverage Status
PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus
was on backtesting, paper trading is now possible using:
and live trading is now possible using:
To get started with PyAlgoTrade take a look at the tutorial and the full documentation.
Main Features
  • Event driven.
  • Supports Market, Limit, Stop and StopLimit orders.
  • Supports any type of time-series data in CSV format like Yahoo! Finance, Google Finance, Quandl and NinjaTrader.
  • Bitcoin trading support through Bitstamp.
  • Technical indicators and filters like SMA, WMA, EMA, RSI, Bollinger Bands, Hurst exponent and others.
  • Performance metrics like Sharpe ratio and drawdown analysis.
  • Handling Twitter events in realtime.
  • Event profiler.
  • TA-Lib integration.
Installation
PyAlgoTrade is developed using Python 2.7 and depends on:
You can install PyAlgoTrade using pip like this:
pip install pyalgotrade

About
Python Algorithmic Trading Library
gbeced.github.io/pyalgotrade/
Resources
Readme
License
Activity
Stars
1 star
Watchers
1 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
PyAlgoTrade
Build StatusCoverage Status
PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus
was on backtesting, paper trading is now possible using:
and live trading is now possible using:
To get started with PyAlgoTrade take a look at the tutorial and the full documentation.
Main Features
  • Event driven.
  • Supports Market, Limit, Stop and StopLimit orders.
  • Supports any type of time-series data in CSV format like Yahoo! Finance, Google Finance, Quandl and NinjaTrader.
  • Bitcoin trading support through Bitstamp.
  • Technical indicators and filters like SMA, WMA, EMA, RSI, Bollinger Bands, Hurst exponent and others.
  • Performance metrics like Sharpe ratio and drawdown analysis.
  • Handling Twitter events in realtime.
  • Event profiler.
  • TA-Lib integration.
Installation
PyAlgoTrade is developed using Python 2.7 and depends on:
You can install PyAlgoTrade using pip like this:
pip install pyalgotrade

About
Python Algorithmic Trading Library
gbeced.github.io/pyalgotrade/
Resources
Readme
License
Activity
Stars
1 star
Watchers
1 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
PyAlgoTrade
Build StatusCoverage Status
PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus
was on backtesting, paper trading is now possible using:
and live trading is now possible using:
To get started with PyAlgoTrade take a look at the tutorial and the full documentation.
Main Features
  • Event driven.
  • Supports Market, Limit, Stop and StopLimit orders.
  • Supports any type of time-series data in CSV format like Yahoo! Finance, Google Finance, Quandl and NinjaTrader.
  • Bitcoin trading support through Bitstamp.
  • Technical indicators and filters like SMA, WMA, EMA, RSI, Bollinger Bands, Hurst exponent and others.
  • Performance metrics like Sharpe ratio and drawdown analysis.
  • Handling Twitter events in realtime.
  • Event profiler.
  • TA-Lib integration.
Installation
PyAlgoTrade is developed using Python 2.7 and depends on:
You can install PyAlgoTrade using pip like this:
pip install pyalgotrade

About
Python Algorithmic Trading Library
gbeced.github.io/pyalgotrade/
Resources
Readme
License
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, '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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
PyAlgoTrade
Build StatusCoverage Status
PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus
was on backtesting, paper trading is now possible using:
and live trading is now possible using:
To get started with PyAlgoTrade take a look at the tutorial and the full documentation.
Main Features
  • Event driven.
  • Supports Market, Limit, Stop and StopLimit orders.
  • Supports any type of time-series data in CSV format like Yahoo! Finance, Google Finance, Quandl and NinjaTrader.
  • Bitcoin trading support through Bitstamp.
  • Technical indicators and filters like SMA, WMA, EMA, RSI, Bollinger Bands, Hurst exponent and others.
  • Performance metrics like Sharpe ratio and drawdown analysis.
  • Handling Twitter events in realtime.
  • Event profiler.
  • TA-Lib integration.
Installation
PyAlgoTrade is developed using Python 2.7 and depends on:
You can install PyAlgoTrade using pip like this:
pip install pyalgotrade

About
Python Algorithmic Trading Library
gbeced.github.io/pyalgotrade/
Resources
Readme
License
Activity
Stars
1 star
Watchers
1 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
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PyAlgoTrade
Build StatusCoverage Status
PyAlgoTrade is an event driven algorithmic trading Python library. Although the initial focus
was on backtesting, paper trading is now possible using:
and live trading is now possible using:
To get started with PyAlgoTrade take a look at the tutorial and the full documentation.
Main Features
  • Event driven.
  • Supports Market, Limit, Stop and StopLimit orders.
  • Supports any type of time-series data in CSV format like Yahoo! Finance, Google Finance, Quandl and NinjaTrader.
  • Bitcoin trading support through Bitstamp.
  • Technical indicators and filters like SMA, WMA, EMA, RSI, Bollinger Bands, Hurst exponent and others.
  • Performance metrics like Sharpe ratio and drawdown analysis.
  • Handling Twitter events in realtime.
  • Event profiler.
  • TA-Lib integration.
Installation
PyAlgoTrade is developed using Python 2.7 and depends on:
You can install PyAlgoTrade using pip like this:
pip install pyalgotrade

About
Python Algorithmic Trading Library
gbeced.github.io/pyalgotrade/
Resources
Readme
License
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages