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Introduction

The ib_insync package is build on top of the Python API from Interactive Brokers. The objective is to make it as easy as possible to use the API to its fullest extent.

The main features are:

  • An IB component that automatically keeps in sync;
  • An easy to use linear style of programming (no more callbacks);
  • A fully asynchonous framework based on asyncio for advanced users;
  • Interactive operation with live data in Jupyter notebooks.

Installation

pip3 install -U ib_insync

Requirements:

To install packages needed for the examples and notebooks:

pip3 install -U jupyter numpy pandas

Example

This is a complete script to download historical data:

fromib_insyncimport*ib=IB()
ib.connect('127.0.0.1', 7497, clientId=1)
contract=Forex('EURUSD')
bars=ib.reqHistoricalData(contract, endDateTime='', durationStr='30 D',
barSizeSetting='1 hour', whatToShow='MIDPOINT', useRTH=True)
# convert to pandas dataframe:df=util.df(bars)
print(df[['date', 'open', 'high', 'low', 'close']])

Output:

 date open high low close
0 2017-08-13 23:15:00 1.182850 1.183100 1.182100 1.182400
1 2017-08-14 00:00:00 1.182400 1.182450 1.181875 1.182175
2 2017-08-14 01:00:00 1.182175 1.182675 1.181900 1.182525
...
719 2017-09-22 22:00:00 1.194425 1.195425 1.194225 1.195050

Be sure to take a look at the notebooks and the recipes too.

Documentation

API docs

Discussion

The insync user group is the place to discuss IB-insync and anything related to it.

Disclaimer

The software is provided on the conditions of the simplified BSD license.

This project is not affiliated with Interactive Brokers Group, Inc.'s.

Good luck and enjoy,

author:Ewald de Wit <ewald.de.wit@gmail.com>

About

Python sync/async framework for Interactive Brokers API

Resources

Readme
BSD-2-Clause license
Activity

Stars

0 stars

Watchers

0 watching

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0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} 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
Join the user groupPyPi
Introduction
The ib_insync package is build on top of the Python API
from Interactive Brokers. The objective is to make it as
easy as possible to use the API to its fullest extent.
The main features are:
  • An IB component that automatically keeps in sync;
  • An easy to use linear style of programming (no more callbacks);
  • A fully asynchonous framework based on
asyncio
for advanced users;
  • Interactive operation with live data in Jupyter notebooks.
Installation
pip3 install -U ib_insync

Requirements:
To install packages needed for the examples and notebooks:
pip3 install -U jupyter numpy pandas

Example
This is a complete script to download historical data:
fromib_insyncimport*ib=IB()
ib.connect('127.0.0.1', 7497, clientId=1)
contract=Forex('EURUSD')
bars=ib.reqHistoricalData(contract, endDateTime='', durationStr='30 D',
barSizeSetting='1 hour', whatToShow='MIDPOINT', useRTH=True)
# convert to pandas dataframe:df=util.df(bars)
print(df[['date', 'open', 'high', 'low', 'close']])
Output:
 date open high low close
0 2017-08-13 23:15:00 1.182850 1.183100 1.182100 1.182400
1 2017-08-14 00:00:00 1.182400 1.182450 1.181875 1.182175
2 2017-08-14 01:00:00 1.182175 1.182675 1.181900 1.182525
...
719 2017-09-22 22:00:00 1.194425 1.195425 1.194225 1.195050

Be sure to take a look at the
notebooks
and the
recipes
too.
Documentation
API docs
Discussion
The insync user group is the place to discuss
IB-insync and anything related to it.
Disclaimer
The software is provided on the conditions of the simplified BSD license.
This project is not affiliated with Interactive Brokers Group, Inc.'s.
Good luck and enjoy,
author:Ewald de Wit <ewald.de.wit@gmail.com>
About
Python sync/async framework for Interactive Brokers API
Resources
Readme
BSD-2-Clause license
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
Join the user groupPyPi
Introduction
The ib_insync package is build on top of the Python API
from Interactive Brokers. The objective is to make it as
easy as possible to use the API to its fullest extent.
The main features are:
  • An IB component that automatically keeps in sync;
  • An easy to use linear style of programming (no more callbacks);
  • A fully asynchonous framework based on
asyncio
for advanced users;
  • Interactive operation with live data in Jupyter notebooks.
Installation
pip3 install -U ib_insync

Requirements:
To install packages needed for the examples and notebooks:
pip3 install -U jupyter numpy pandas

Example
This is a complete script to download historical data:
fromib_insyncimport*ib=IB()
ib.connect('127.0.0.1', 7497, clientId=1)
contract=Forex('EURUSD')
bars=ib.reqHistoricalData(contract, endDateTime='', durationStr='30 D',
barSizeSetting='1 hour', whatToShow='MIDPOINT', useRTH=True)
# convert to pandas dataframe:df=util.df(bars)
print(df[['date', 'open', 'high', 'low', 'close']])
Output:
 date open high low close
0 2017-08-13 23:15:00 1.182850 1.183100 1.182100 1.182400
1 2017-08-14 00:00:00 1.182400 1.182450 1.181875 1.182175
2 2017-08-14 01:00:00 1.182175 1.182675 1.181900 1.182525
...
719 2017-09-22 22:00:00 1.194425 1.195425 1.194225 1.195050

Be sure to take a look at the
notebooks
and the
recipes
too.
Documentation
API docs
Discussion
The insync user group is the place to discuss
IB-insync and anything related to it.
Disclaimer
The software is provided on the conditions of the simplified BSD license.
This project is not affiliated with Interactive Brokers Group, Inc.'s.
Good luck and enjoy,
author:Ewald de Wit <ewald.de.wit@gmail.com>
About
Python sync/async framework for Interactive Brokers API
Resources
Readme
BSD-2-Clause license
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
Join the user groupPyPi
Introduction
The ib_insync package is build on top of the Python API
from Interactive Brokers. The objective is to make it as
easy as possible to use the API to its fullest extent.
The main features are:
  • An IB component that automatically keeps in sync;
  • An easy to use linear style of programming (no more callbacks);
  • A fully asynchonous framework based on
asyncio
for advanced users;
  • Interactive operation with live data in Jupyter notebooks.
Installation
pip3 install -U ib_insync

Requirements:
To install packages needed for the examples and notebooks:
pip3 install -U jupyter numpy pandas

Example
This is a complete script to download historical data:
fromib_insyncimport*ib=IB()
ib.connect('127.0.0.1', 7497, clientId=1)
contract=Forex('EURUSD')
bars=ib.reqHistoricalData(contract, endDateTime='', durationStr='30 D',
barSizeSetting='1 hour', whatToShow='MIDPOINT', useRTH=True)
# convert to pandas dataframe:df=util.df(bars)
print(df[['date', 'open', 'high', 'low', 'close']])
Output:
 date open high low close
0 2017-08-13 23:15:00 1.182850 1.183100 1.182100 1.182400
1 2017-08-14 00:00:00 1.182400 1.182450 1.181875 1.182175
2 2017-08-14 01:00:00 1.182175 1.182675 1.181900 1.182525
...
719 2017-09-22 22:00:00 1.194425 1.195425 1.194225 1.195050

Be sure to take a look at the
notebooks
and the
recipes
too.
Documentation
API docs
Discussion
The insync user group is the place to discuss
IB-insync and anything related to it.
Disclaimer
The software is provided on the conditions of the simplified BSD license.
This project is not affiliated with Interactive Brokers Group, Inc.'s.
Good luck and enjoy,
author:Ewald de Wit <ewald.de.wit@gmail.com>
About
Python sync/async framework for Interactive Brokers API
Resources
Readme
BSD-2-Clause license
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
Join the user groupPyPi
Introduction
The ib_insync package is build on top of the Python API
from Interactive Brokers. The objective is to make it as
easy as possible to use the API to its fullest extent.
The main features are:
  • An IB component that automatically keeps in sync;
  • An easy to use linear style of programming (no more callbacks);
  • A fully asynchonous framework based on
asyncio
for advanced users;
  • Interactive operation with live data in Jupyter notebooks.
Installation
pip3 install -U ib_insync

Requirements:
To install packages needed for the examples and notebooks:
pip3 install -U jupyter numpy pandas

Example
This is a complete script to download historical data:
fromib_insyncimport*ib=IB()
ib.connect('127.0.0.1', 7497, clientId=1)
contract=Forex('EURUSD')
bars=ib.reqHistoricalData(contract, endDateTime='', durationStr='30 D',
barSizeSetting='1 hour', whatToShow='MIDPOINT', useRTH=True)
# convert to pandas dataframe:df=util.df(bars)
print(df[['date', 'open', 'high', 'low', 'close']])
Output:
 date open high low close
0 2017-08-13 23:15:00 1.182850 1.183100 1.182100 1.182400
1 2017-08-14 00:00:00 1.182400 1.182450 1.181875 1.182175
2 2017-08-14 01:00:00 1.182175 1.182675 1.181900 1.182525
...
719 2017-09-22 22:00:00 1.194425 1.195425 1.194225 1.195050

Be sure to take a look at the
notebooks
and the
recipes
too.
Documentation
API docs
Discussion
The insync user group is the place to discuss
IB-insync and anything related to it.
Disclaimer
The software is provided on the conditions of the simplified BSD license.
This project is not affiliated with Interactive Brokers Group, Inc.'s.
Good luck and enjoy,
author:Ewald de Wit <ewald.de.wit@gmail.com>
About
Python sync/async framework for Interactive Brokers API
Resources
Readme
BSD-2-Clause license
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
Join the user groupPyPi
Introduction
The ib_insync package is build on top of the Python API
from Interactive Brokers. The objective is to make it as
easy as possible to use the API to its fullest extent.
The main features are:
  • An IB component that automatically keeps in sync;
  • An easy to use linear style of programming (no more callbacks);
  • A fully asynchonous framework based on
asyncio
for advanced users;
  • Interactive operation with live data in Jupyter notebooks.
Installation
pip3 install -U ib_insync

Requirements:
To install packages needed for the examples and notebooks:
pip3 install -U jupyter numpy pandas

Example
This is a complete script to download historical data:
fromib_insyncimport*ib=IB()
ib.connect('127.0.0.1', 7497, clientId=1)
contract=Forex('EURUSD')
bars=ib.reqHistoricalData(contract, endDateTime='', durationStr='30 D',
barSizeSetting='1 hour', whatToShow='MIDPOINT', useRTH=True)
# convert to pandas dataframe:df=util.df(bars)
print(df[['date', 'open', 'high', 'low', 'close']])
Output:
 date open high low close
0 2017-08-13 23:15:00 1.182850 1.183100 1.182100 1.182400
1 2017-08-14 00:00:00 1.182400 1.182450 1.181875 1.182175
2 2017-08-14 01:00:00 1.182175 1.182675 1.181900 1.182525
...
719 2017-09-22 22:00:00 1.194425 1.195425 1.194225 1.195050

Be sure to take a look at the
notebooks
and the
recipes
too.
Documentation
API docs
Discussion
The insync user group is the place to discuss
IB-insync and anything related to it.
Disclaimer
The software is provided on the conditions of the simplified BSD license.
This project is not affiliated with Interactive Brokers Group, Inc.'s.
Good luck and enjoy,
author:Ewald de Wit <ewald.de.wit@gmail.com>
About
Python sync/async framework for Interactive Brokers API
Resources
Readme
BSD-2-Clause license
Activity
Stars
0 stars
Watchers
0 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
Join the user groupPyPi
Introduction
The ib_insync package is build on top of the Python API
from Interactive Brokers. The objective is to make it as
easy as possible to use the API to its fullest extent.
The main features are:
  • An IB component that automatically keeps in sync;
  • An easy to use linear style of programming (no more callbacks);
  • A fully asynchonous framework based on
asyncio
for advanced users;
  • Interactive operation with live data in Jupyter notebooks.
Installation
pip3 install -U ib_insync

Requirements:
To install packages needed for the examples and notebooks:
pip3 install -U jupyter numpy pandas

Example
This is a complete script to download historical data:
fromib_insyncimport*ib=IB()
ib.connect('127.0.0.1', 7497, clientId=1)
contract=Forex('EURUSD')
bars=ib.reqHistoricalData(contract, endDateTime='', durationStr='30 D',
barSizeSetting='1 hour', whatToShow='MIDPOINT', useRTH=True)
# convert to pandas dataframe:df=util.df(bars)
print(df[['date', 'open', 'high', 'low', 'close']])
Output:
 date open high low close
0 2017-08-13 23:15:00 1.182850 1.183100 1.182100 1.182400
1 2017-08-14 00:00:00 1.182400 1.182450 1.181875 1.182175
2 2017-08-14 01:00:00 1.182175 1.182675 1.181900 1.182525
...
719 2017-09-22 22:00:00 1.194425 1.195425 1.194225 1.195050

Be sure to take a look at the
notebooks
and the
recipes
too.
Documentation
API docs
Discussion
The insync user group is the place to discuss
IB-insync and anything related to it.
Disclaimer
The software is provided on the conditions of the simplified BSD license.
This project is not affiliated with Interactive Brokers Group, Inc.'s.
Good luck and enjoy,
author:Ewald de Wit <ewald.de.wit@gmail.com>
About
Python sync/async framework for Interactive Brokers API
Resources
Readme
BSD-2-Clause license
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); }
})();
})();

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Introduction
The ib_insync package is build on top of the Python API
from Interactive Brokers. The objective is to make it as
easy as possible to use the API to its fullest extent.
The main features are:
  • An IB component that automatically keeps in sync;
  • An easy to use linear style of programming (no more callbacks);
  • A fully asynchonous framework based on
asyncio
for advanced users;
  • Interactive operation with live data in Jupyter notebooks.
Installation
pip3 install -U ib_insync

Requirements:
To install packages needed for the examples and notebooks:
pip3 install -U jupyter numpy pandas

Example
This is a complete script to download historical data:
fromib_insyncimport*ib=IB()
ib.connect('127.0.0.1', 7497, clientId=1)
contract=Forex('EURUSD')
bars=ib.reqHistoricalData(contract, endDateTime='', durationStr='30 D',
barSizeSetting='1 hour', whatToShow='MIDPOINT', useRTH=True)
# convert to pandas dataframe:df=util.df(bars)
print(df[['date', 'open', 'high', 'low', 'close']])
Output:
 date open high low close
0 2017-08-13 23:15:00 1.182850 1.183100 1.182100 1.182400
1 2017-08-14 00:00:00 1.182400 1.182450 1.181875 1.182175
2 2017-08-14 01:00:00 1.182175 1.182675 1.181900 1.182525
...
719 2017-09-22 22:00:00 1.194425 1.195425 1.194225 1.195050

Be sure to take a look at the
notebooks
and the
recipes
too.
Documentation
API docs
Discussion
The insync user group is the place to discuss
IB-insync and anything related to it.
Disclaimer
The software is provided on the conditions of the simplified BSD license.
This project is not affiliated with Interactive Brokers Group, Inc.'s.
Good luck and enjoy,
author:Ewald de Wit <ewald.de.wit@gmail.com>
About
Python sync/async framework for Interactive Brokers API
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