Author name: ibridge

Understanding which Quantopian functions IBridgePy supports is essential when migrating your algorithmic trading strategies. We know that migrating from Quantopian to IBridgePy is not an easy task, so we work very hard to support as many Quantopian functions IBridgePy can handle for seamless Python stock trading integration with Interactive Brokers. Understanding which Quantopian functions IBridgePy […]

Dear IBridgePy users, IBridgePy starts to support order_percent(security, amount, style=OrderType) now for version 1.20170920 For details, please check out https://ibridgepy.com//ibridgepy-documentation/ Other updates: The bug related to schedule_function is fixed. Thanks to jakemoilanen for reporting the bug The bug related to handle_calendar is fixed. Thanks to harshnisar for reporting the bug. Regards IBridgePy team  

Dear IBridgePy users, Due to increased number of users who are willing to migrating from Quantopian to IBridgePy, we are glad to offer FREE debug services to make the migration process easier. The scope of this free debug services are the examples with minor changes provided by IBridgePy. Please check out this webpage for more

IBridgePy Release Notes and Version Number We have established a dedicated webpage to track release note version information and IBridgePy updates. This improves transparency for users implementing algorithmic trading strategies with our Python platform. Dear IBridgePy users, We really appreciate thomas2004ch for his/her comments on missing release notes and version number. To address this issue,

Migrating from Quantopian to IBridgePy can be very easy in some cases even without making code changes. This comprehensive guide will help you understand the process of migrating from Quantopian to IBridgePy as smooth as possible using Python stock trading with Interactive Brokers for algorithmic trading. As a short description, in the runMode of run_like_quantopian,

When experiencing broker data source issues, understanding how your trading platform responds is critical. On 8/16/2017 at 9:30 AM EST, stock trading was affected when VIX data paused for 10 minutes due to data source problems. This raised important questions about how algorithmic trading systems handle missing market data and what safeguards traders should implement.

This Spring 2017 academic thesis IBridgePy case study showcases how business school students use algorithmic trading platforms for research. Victor A Barca’s Bachelor thesis demonstrates IBridgePy’s ease of use for developing trading strategies and conducting quantitative finance research. I recently found a Bachelor’s thesis written by Victor A Barca when I was looking for the

IBridgePy Mac and Ubuntu versions bring algorithmic trading to macOS and Linux users. Both platforms use native Python 2.7 64-bit, giving you full access to IBridgePy trading capabilities on your preferred operating system with easy download and setup. Dear IBridgePy users, Thank you very much for your patience. Finally, IBridgePy on Mac and IBridgePy on

The latest IBridgePy update 7272017 features enhance your algorithmic trading capabilities with new order tracking, performance monitoring, and connectivity management. These improvements to IBridgePy help traders manage multiple strategies and maintain reliable connections to Interactive Brokers. The IBridgePy has been updated on 7/27/2017. Major IBridgePy Update Features The major updates include: Added an input parameter