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
stock data on eink with raspberry

small python skript to display tradegate data on a waveshare e-ink important you need locale "de_AT.UTF-8 UTF-8" installed. do so in raspi-config's Lo

Simon Oberhammer 24 Feb 22, 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
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks

CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks https://github.com/CryptoSignal/Crypto-Signal Development state:

Github.com/Signal - 2,100 + stars, 580 + forks 4.2k Jan 01, 2023
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
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
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
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
Q-Fin: A Python library for mathematical finance.

Q-Fin A Python library for mathematical finance. Installation https://pypi.org/project/QFin/ pip install qfin Bond Pricing Option Pricing Black-Schol

Roman Paolucci 247 Jan 01, 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
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
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
: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
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
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
ARCH models in Python

arch Autoregressive Conditional Heteroskedasticity (ARCH) and other tools for financial econometrics, written in Python (with Cython and/or Numba used

Kevin Sheppard 1k Jan 04, 2023
scrilla: A Financial Optimization Application

A python application that wraps around AlphaVantage, Quandl and IEX APIs, calculates financial statistics and optimizes portfolio allocations.

Grant Moore 6 Dec 17, 2022
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
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
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