This is stars and forks stats for /jamesmawm/High-Frequency-Trading-Model-with-IB repository. As of 29 Apr, 2024 this repository has 2265 stars and 644 forks.
Purpose A basic trading model on Interactive Brokers' API dealing with high-frequency data studies. Requirements Python 3.7 IB Trader Workstation Build 973.2 IB paper or live trading account (Optional) Docker and docker-compose What's new 19 Jun 2019 Version 3.0 released ibpy library is dropped in favour of the newer ib_insync library. The same code logic is ported over to use the features of ib_insync, compatible with Python 3.7. Includes various code cleanup. Dropped matplotlib charting in favour...
Purpose A basic trading model on Interactive Brokers' API dealing with high-frequency data studies. Requirements Python 3.7 IB Trader Workstation Build 973.2 IB paper or live trading account (Optional) Docker and docker-compose What's new 19 Jun 2019 Version 3.0 released ibpy library is dropped in favour of the newer ib_insync library. The same code logic is ported over to use the features of ib_insync, compatible with Python 3.7. Includes various code cleanup. Dropped matplotlib charting in favour...
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