QuantConnect / QuantConnect/Lean

Refactor Long-Short Exposure to Online Algorithms

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depth feature refactor
Dominant language
C#
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Forks
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Avg merge
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Merged PRs (30d)
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Description

Expected Behavior

Ideally exposure math is computationally cheaper and calculated online as the portfolio changes. Enabling higher resolution intraday sampling.

Actual Behavior

Daily samples in batch by the result handler.

Potential Solution
  • Bind to Process Fill events in the Portfolio Model
  • Create a Portfolio.ShortExposure, Portfolio.LongExposure properties that hold underlying exposures.
  • On new fill events update the running total of exposure.
  • Process the initial exposure in batch on loading the portfolio holdings.
Checklist
  • I have completely filled out this template
  • I have confirmed that this issue exists on the current master branch
  • I have confirmed that this is not a duplicate issue by searching issues

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by tracing the current exposure calculation in the result handler and the Portfolio Model's Process Fill events, then inspect how initial portfolio holdings are loaded. Define the running long and short exposure state and verify that fill updates and initial loading produce the same values as the existing daily batch calculation, including higher-resolution intraday changes.

Written by the indexing model from the issue text.

Assessment

Tech stack
csharp
Domain
backend
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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