Sending order to Forex or Stocks from Python strategy

External question — Quantitative Finance Stack Exchange Author: Don Coder Original post: https://quant.stackexchange.com/questions/42681 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. I have my own strategy developed in Python. But I couldn't find a reliable method to send, close, and modify orders using Python. Are there any tools that help order management using Python? I also would like to ask which brokers provide Python API? I cannot use Oanda as they don't support my country. I mainly focused Forex, CFD and equities.

External answer — Quantitative Finance Stack Exchange Author: Nobody Original post: https://quant.stackexchange.com/a/42682 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. Quantopian uses Python. Or you need to convert to proprietary scripts like Think script

External answer — Quantitative Finance Stack Exchange Author: Theodore Original post: https://quant.stackexchange.com/a/42687 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. The Interactive Brokers API provides functionality for sending, modifying and closing orders for all of the asset classes you have mentioned. It supports Python, as well as Java, C++ and C#. I cannot truly speak for the Python version as I have only used the C++ API which is barely usable with the way the current threading model "works"... however I can recommend github.com/erdewit/ib_insync as it seems to simplify many aspects of the TWS and socket connectivity. Seeing as you're in Turkey, according to IB's Available Countries page, Turkey is supported!

External answer — Quantitative Finance Stack Exchange Author: Jared M Original post: https://quant.stackexchange.com/a/42693 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. I second the use of the Interactive Brokers API. It is what I currently use to manage my orders. Here is a good blog to get started --> https://qoppac.blogspot.com/2017/03/interactive-brokers-native-python-api.html

External answer — Quantitative Finance Stack Exchange Author: ltrd Original post: https://quant.stackexchange.com/a/42700 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. Great Python API is provided by FXCM. It is really intuitive and easy to use. https://www.fxcm.com/uk/algorithmic-trading/forex-python/

External answer — Quantitative Finance Stack Exchange Author: roman Original post: https://quant.stackexchange.com/a/63332 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. We solve this task using this Python package: https://pypi.org/project/metaapi-cloud-sdk/ which is provided by MetaApi SaaS service https://metaapi.cloud . The advantage of using this approach is that you can choose any MetaTrader-enabled broker for trading (there are plenty of these).