Pylivetrader

Latest version: v0.7.1

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0.5.2

The alpaca-trade-api 0.51.0 version adds support for the alpaca-proxy-agent when using the Polygon stream service.<br>
This minor version is now fully supporting usage of the alpaca-proxy-agent.

0.5.1

In this release we make this project compatible with the alapca-proxy-agent project:
https://github.com/shlomikushchi/alpaca-proxy-agent

What else
* changed can_trade to be more resilient.
* fixed minor issues with the smoke-util

0.5.0

In this release we optimize the bar query from the Alpaca servers for high load algorithms.
Alpaca API supports up to 200 equities per one API query.
This release takes advantage of that feature to make the data query for high loads much faster.

What else
* pyup integration
* change the way the docker image is built. not using pipenv anymore.
* update alpaca-trade-api to v0.50.1

0.4.0

In this release we add a migration tool to the pylivetrader cli
it could be used to take code written for quantopian or zipline and make it compatible to pylivetrader
you could use it as follows:
sh
pylivetrader --help


sh
pylivetrader migrate -i quantopian_example.py -o pylivetrader_compatible.py

0.3.1

In this release we fix minor bugs on top of 0.3.0
* query limit for get_bars() is 1000, make sure we don't pass that
* allow passing the pipeline live index to data.history()
* legacy zipline function call removed(simulation_dt_func())
* shell stopped working - fixed
* smoke test should not use the same state file as the real algo

0.3.0

In this release, we support the Alpaca data API: https://alpaca.markets/docs/api-documentation/api-v2/
* updated the minimum Alpaca SDK to 0.48
* added usePolygon flag to indicate weather the user wants alpaca data or polygon data. default is alpaca
* improvments to the cli:
* can select log timezone
* description for shell and run

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