[See Description] Pipeline API Intro - Python for Finance with Quantopian and Zipline 19 | Summary and Q&A

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March 2, 2016
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[See Description] Pipeline API Intro - Python for Finance with Quantopian and Zipline 19

TL;DR

The Pipeline API allows for more advanced filtering and analysis of stocks, improving the selection process for real-time trading.

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Key Insights

  • ⌛ The Pipeline API was released in 2015 to improve the stock selection process for real-time trading.
  • 👻 It allows traders to apply more advanced filtering and logic-based selection criteria.
  • 🧑‍🏭 Factors are used for calculations, while filters are used to narrow down the selection of stocks.
  • 🧑‍🏭 Custom factors can be created if the built-in options are not sufficient.

Transcript

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Questions & Answers

Q: What is the purpose of the Pipeline API?

The Pipeline API allows for more advanced filtering and analysis of stocks, improving the selection process for real-time trading.

Q: How does the Pipeline API work?

The API uses factors to perform calculations on stock data and filters to narrow down the selection of stocks based on certain criteria.

Q: How does the Pipeline API help with selecting stocks?

The API provides more logic-based filtering, allowing traders to apply specific criteria to their selection process.

Q: Can custom factors be created using the Pipeline API?

Yes, if the built-in factors do not meet the trader's requirements, custom factors can be created to perform specific calculations.

Summary & Key Takeaways

  • The Pipeline API was released in October 2015 and is designed to provide more powerful stock analysis for real-time trading.

  • Previously, selecting stocks was limited and arbitrary, but the Pipeline API allows for more logic-based filtering.

  • The API uses factors and filters to perform calculations and narrow down the selection of stocks.

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