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Also note that we do not limit the version of the websockets library, but we advice using
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Also note that we do not limit the version of the websockets library, but we advise using
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```
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websockets>=9.0
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```
@@ -73,7 +73,7 @@ You now have 2 pythonic ways to retrieve historical data.<br>
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One using the traditional rest module and the other is to use the experimental asyncio module added lately.<br>
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Let's have a look at both:<br>
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First thing to understand is the new data polling mechanism. You could query up to 10000 items, and the API is using a pagination mechanism to provide you with the data.<br>
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The first thing to understand is the new data polling mechanism. You could query up to 10000 items, and the API is using a pagination mechanism to provide you with the data.<br>
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You now have 2 options:
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* Working with data as it is received with a generator. (meaning it's faster but you need to process each item alone)
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* Wait for the entire data to be received, and then work with it as a list or dataframe.
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It provides a much faster way to retrieve the historic data for multiple symbols.<br>
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Under the hood we use the [aiohttp](https://docs.aiohttp.org/en/stable/) library.<br>
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We provide a code sample to get you started with this new approach and it is located [here](examples/historic_async.py).<br>
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Follow along the example code to learn more, and to utilize it to your own needs.<br>
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Follow along with the example code to learn more, and utilize it for your own needs.<br>
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### Live Stream Market Data
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There are 2 streams available as described [here](https://alpaca.markets/docs/market-data/#subscription-plans).
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