Automated Trading can be understood with the concept of computer programming that basically creates orders and finally submits them to a market center or exchange for making profits. It is one of the important trading systems that helps a trader to do an effective business and bring stability in the market by executing it through […]
Automated Trading or Algorithmic Trading in Python: A Comprehensive Blog Read More »
Step 1: Download and install Interactive Broker’s TWS or IB Gateway Go to this webpage to download IB’s TraderWorkstation (TWS) or go to this webpage to download IB Gateway. Both TWS and Gateway can be used to trade. If you are relatively new to trade at IB, then I would recommend TWS as it is more user friendly. However,
Config TWS or Gateway Read More »
Debugging a code is frustrating. We understand it and we are here to help you. When you post debugging questions at community and send email to IBridgePy@gmail.com, please follow this guideline so that we can help you solve the issues quickly. 1. Add this to RUN_ME.py, refer to this API doc. The last few lines are
Raise log level to help debug Read More »
IBridgePy can backtest algo trading strategies using historical data not only from Interactive Brokers but any other data providers. The basic idea is to save historical data from any data providers to local csv files and then supply them to IBridgePy backtester. In this post, we will explain how to backtest a sample algo strategy
Backtest using any historical data Read More »
We are really excited to announce that IBridgePy has collaborated with QuantInsti, a world-leading training institute for algorithm trading, and rolled out a free on-line training course about IBridgePy. The course covers all essential steps from fetching data to sending orders using free demo account on Interactive Brokers trading platform. There is no need to install anything
Additional 22% off coupon on all courses at quantra quantinsti Read More »
We are really excited to announce that IBridgePy has collaborated with QuantInsti, a world-leading training institute for algorithm trading, and rolled out a free on-line training course about IBridgePy. The course covers all essential steps from fetching data to sending orders using free demo account on Interactive Brokers trading platform. There is no need to
Additional 22% off coupon on all courses at quantra quantinsti Read More »
IBridgePy can backtest algo trading strategies using historical data not only from Interactive Brokers but any other data providers. The basic idea is to save historical data from any data providers to local csv files and then supply them to IBridgePy backtester. In this post, we will explain how to backtest a sample algo strategy
Backtest using any historical data Read More »
Debugging a code is frustrating. We understand it and we are here to help you. When you post debugging questions at community and send email to IBridgePy@gmail.com, please follow this guideline so that we can help you solve the issues quickly. 1. Add this to RUN_ME.py, refer to this API doc. The last few lines
Raise log level to help debug Read More »
Starting from V 5.0.8 released on July 8th 2019, IBridgePy supports Python 3.7 and will support other Python versions in the future as needed. Windows: Anaconda Python 2.7 32-bit, Anaconda Python 2.7, Anaconda Python 3.6 and Anaconda Python 3.7 Mac: Python 2.7, Python 3.7 and Anaconda Python 2.7 Ubuntu: Python 2.7 and Python 3.7 Please download them from https://ibridgepy.com//download/
IBridgePy starts to support Python 3.7 ! Read More »
We are very pleased to announce that IBridgePy Backtester is released from V 5.0.1. The main feature of IBridgePy Backtester is to backtest strategies using historical data that are retrieved from Interactive Brokers or other data providers. The backtester supports most of IBridgePy functions and Quantopian functions. In this blog, we are going to introduce
Backtest strategies on IBridgePy Read More »
