Python sync/async framework for Interactive Brokers API

Overview

Build Join the user group PyPi Conda Number of downloads Documentation

Introduction

The goal of the IB-insync library is to make working with the Trader Workstation API from Interactive Brokers as easy as possible.

The main features are:

  • An easy to use linear style of programming;
  • An IB component that automatically keeps in sync with the TWS or IB Gateway application;
  • A fully asynchonous framework based on asyncio and eventkit for advanced users;
  • Interactive operation with live data in Jupyter notebooks.

Be sure to take a look at the notebooks, the recipes and the API docs.

Installation

pip install ib_insync

For Python 3.6 install the dataclasses package as well (newer Python versions already have it):

pip install dataclasses

Requirements:

  • Python 3.6 or higher;
  • A running TWS or IB Gateway application (version 972 or higher). Make sure the API port is enabled and 'Download open orders on connection' is checked.

The ibapi package from IB is not needed.

Example

This is a complete script to download historical data:

from ib_insync import *
# util.startLoop()  # uncomment this line when in a notebook

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)

Output:

                   date      open      high       low     close  volume  \
0   2019-11-19 23:15:00  1.107875  1.108050  1.107725  1.107825      -1
1   2019-11-20 00:00:00  1.107825  1.107925  1.107675  1.107825      -1
2   2019-11-20 01:00:00  1.107825  1.107975  1.107675  1.107875      -1
3   2019-11-20 02:00:00  1.107875  1.107975  1.107025  1.107225      -1
4   2019-11-20 03:00:00  1.107225  1.107725  1.107025  1.107525      -1
..                  ...       ...       ...       ...       ...     ...
705 2020-01-02 14:00:00  1.119325  1.119675  1.119075  1.119225      -1

Documentation

The complete API documentation.

Changelog.

Discussion

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

Consultancy & Development

IB-insync offers an easy entry into building automated trading systems for both individual traders and fintech companies. However, to get the most out of it is not a trivial matter and is beyond the reach of most developers.

If you need expert help, you can contact me. This can be for a small project, such as fixing something in your own code, or it can be creating an entire new trading infrastructure. Please provide enough details so that I can assess both the feasibility and the scope. Many folks worry about having to provide their 'secret sauce', but that is never necessary (although you're perfectly welcome to send that as well!)

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 <[email protected]>
Owner
Ewald de Wit
Ewald de Wit
Indicator divergence library for python

Indicator divergence library This module aims to help to find bullish/bearish divergences (regular or hidden) between two indicators using argrelextre

8 Dec 13, 2022
personal finance tracker, written in python 3 and using the wxPython GUI toolkit.

personal finance tracker, written in python 3 and using the wxPython GUI toolkit.

wenbin wu 23 Oct 30, 2022
This repository contains a set of plugins for Volatility 3

volatility_plugins This repository contains a set of plugins for Volatility 3 These plugins are not compatible with Volatility 2 To use these plugins

Immersive-Labs-Sec 10 Nov 30, 2022
bt - flexible backtesting for Python

bt - Flexible Backtesting for Python bt is currently in alpha stage - if you find a bug, please submit an issue. Read the docs here: http://pmorissett

Philippe Morissette 1.6k Jan 05, 2023
High-performance TensorFlow library for quantitative finance.

TF Quant Finance: TensorFlow based Quant Finance Library Table of contents Introduction Installation TensorFlow training Development roadmap Examples

Google 3.5k Jan 01, 2023
This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance

Python for Finance (O'Reilly) This repository provides all Python codes and Jupyter Notebooks of the book Python for Finance -- Analyze Big Financial

Yves Hilpisch 1.6k Jan 03, 2023
Yahoo! Finance market data downloader (+faster Pandas Datareader)

Yahoo! Finance market data downloader Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop work

Ran Aroussi 8.4k Jan 01, 2023
Find big moving stocks before they move using machine learning and anomaly detection

Surpriver - Find High Moving Stocks before they Move Find high moving stocks before they move using anomaly detection and machine learning. Surpriver

Tradytics 1.5k Dec 31, 2022
Fourth and final milestone project

Milestone Project 4: Pound Dog Click link to visit "Pound Dog" Aim of the project The aim of this project is to provide access to a website informing

Jamie Wilson 1 Oct 31, 2021
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

TensorTrade: Trade Efficiently with Reinforcement Learning TensorTrade is still in Beta, meaning it should be used very cautiously if used in producti

4k Dec 30, 2022
A python wrapper for Alpha Vantage API for financial data.

alpha_vantage Python module to get stock data/cryptocurrencies from the Alpha Vantage API Alpha Vantage delivers a free API for real time financial da

Romel Torres 3.8k Jan 07, 2023
A proper portfolio tracker. Featuring historical allocation, cash flows and real returns.

Python Portfolio Analytics A portfolio tracker featuring account transactions, historical allocation, dividends and splits management and endless perf

Simone Precicchiani 13 Aug 13, 2022
Performance analysis of predictive (alpha) stock factors

Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour

Quantopian, Inc. 2.5k Dec 28, 2022
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

finmarketpy (formerly pythalesians) finmarketpy is a Python based library that enables you to analyze market data and also to backtest trading strateg

Cuemacro 3k Dec 30, 2022
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

Backtesting.py Backtest trading strategies with Python. Project website Documentation the project if you use it. Installation $ pip install backtestin

3.1k Dec 31, 2022
'Personal Finance' is a project where people can manage and track their expenses

Personal Finance by Abhiram Rishi Pratitpati 'Personal Finance' is a project where people can manage and track their expenses. It is hard to keep trac

Abhiram Rishi Prattipati 1 Dec 21, 2021
Python Backtesting library for trading strategies

backtrader Yahoo API Note: [2018-11-16] After some testing it would seem that data downloads can be again relied upon over the web interface (or API v

DRo 9.8k Dec 30, 2022
A banking system is a group or network of institutions that provide financial services for us

A banking system is a group or network of institutions that provide financial services for us. These institutions are responsible for operating a payment system, providing loans, taking deposits, and

UTTKARSH PARMAR 1 Oct 24, 2021
Portfolio and risk analytics in Python

pyfolio pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipl

Quantopian, Inc. 4.8k Jan 08, 2023
ffn - a financial function library for Python

ffn - Financial Functions for Python Alpha release - please let me know if you find any bugs! If you are looking for a full backtesting framework, ple

Philippe Morissette 1.4k Jan 01, 2023