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
An Algorithmic Trading Library for Crypto-Assets in Python

Service Master Develop CI Badge Catalyst is an algorithmic trading library for crypto-assets written in Python. It allows trading strategies to be eas

Enigma 2.4k Jan 05, 2023
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
Technical Analysis Library using Pandas and Numpy

Technical Analysis Library in Python It is a Technical Analysis library useful to do feature engineering from financial time series datasets (Open, Cl

Darío López Padial 3.4k Jan 02, 2023
'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
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
: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
Common financial technical indicators implemented in Pandas.

FinTA (Financial Technical Analysis) Common financial technical indicators implemented in Pandas. This is work in progress, bugs are expected and resu

1.8k Dec 31, 2022
rotki is an open source portfolio tracking, analytics, accounting and tax reporting tool that respects your privacy.

rotki is an open source portfolio tracking, analytics, accounting and tax reporting tool that respects your privacy. The mission of rotki is to bring transparency into the crypto and financial sector

Rotki 2k Dec 30, 2022
Beibo is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time.

Beibo is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time.

Santosh 54 Dec 10, 2022
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
Zipline, a Pythonic Algorithmic Trading Library

Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backte

Quantopian, Inc. 15.7k Jan 02, 2023
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
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

Stock Statistics/Indicators Calculation Helper VERSION: 0.3.2 Introduction Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline s

Cedric Zhuang 1.1k Dec 28, 2022
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
Common financial risk and performance metrics. Used by zipline and pyfolio.

empyrical Common financial risk metrics. Table of Contents Installation Usage Support Contributing Testing Installation pip install empyrical Usage S

Quantopian, Inc. 1k Dec 26, 2022
Python Algorithmic Trading Library

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

Gabriel Becedillas 3.9k Jan 01, 2023
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
Python sync/async framework for Interactive Brokers API

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 ma

Ewald de Wit 2k Dec 30, 2022
Software for quick purchase of mystery boxes on Binance.

english | русский язык Software for quick purchase of mystery boxes on Binance. Purpose Installation & setup Motivation Specification Disclaimer Purpo

Ellis 5 Mar 08, 2022