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Mean reverting VWAP algorithm

Hi, looking to build a mean reverting Algorithm that references intra-day VWAP price. The purpose is to trade across a portfolio of stocks, which ultimately has multiple benchmarks versus Previous Close, Open, and Full-Day VWAP. Given the multiple benchmark aspect of the portfolio, I feel like a a mean reverting VWAP algo would be the logical choice for capturing performance across the multiple benchmarks. However, any other thoughts / suggestions are appreciated more minimizing market impact / transaction costs.

Thanks,
Simon

1 response

Hello Simon. Welcome to Quantopian!

I have only a few thoughts - I think I'd need more information to really help. But to start:

  • Use the history() command to track the previous close and open
  • Use history() as well to track the volume and price so you can do the VWAP over several days
  • You should use minutely mode, not daily, to build your algo. Do backtesting over short time periods (5 days?) while you're building your algo to keep your iterations quick, and then test over longer periods when you have the structure of the algo complete.
  • There are a few mean reversion algos already on Quantopian, but I didn't find one that is using history(). It's something that will be a great addition to our site!
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