QuantConnect / QuantConnect/Lean

Make RandomDataGeneration parallel for performance gains

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depth performance
Dominant language
C#
Stars
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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

The RandomDataGenerator should support parallel execution to improve performance. Ideally, tick generation for different symbols would run concurrently while maintaining deterministic output.

Actual Behavior

Currently, the generator runs in a single thread, processing each enumerator sequentially. For large datasets (e.g., multiple symbols over several days or months), this results in long execution times

For instance, running the following command:
lean data generate --start 20231004 --end 20231020 --tickers=SPY --resolution=Minute --security-type=Option --verbose

Running this can take quite a long time

Potential Solution
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 at the RandomDataGenerator entry point exercised by the lean data generate command, using the example options in the issue. Trace how tick generation is organized across symbols. Done means symbol work can run concurrently while producing deterministic output and improving performance on large datasets.

Written by the indexing model from the issue text.

Assessment

Tech stack
csharp
Domain
cli, data, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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