Hi Chang,
The best way to upload your own private data is through our My Data feature, which will allow you to access your daily trade list directly in pipeline. First you'll upload your historical data and map the columns to specific types and then you'll have the option to set up the continuous upload of your "live" daily data.
The long short equity algorithm lecture is a good example that leverages a publicly available dataset.
You'll want to replace the following stocktwits import with your specific dataset and then update or replace the sentiment_score with a reference to your dataset column (adjusting the SimpleMovingAverage factor as needed).
from quantopian.pipeline.data.psychsignal import stocktwits
sentiment_score = SimpleMovingAverage(
inputs=[stocktwits.bull_minus_bear],
window_length=3,
)
I know you've been working through this request with the support team, but I wanted to make sure the rest of the community understood how to upload their own data and access it in an algorithm.
If you are interested in joining the alpha, please tell us more about your data and your use case here.
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