Parallelise `backtest()` & `historical_forecasts()`

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6,832 stars (6,832 stars)

PR merge metrics

Avg merge 143d 16h (Avg merge 143d 16h)16 merged PRs in 30d (16 merged PRs in 30d)

Description

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Contributor guide

Research direction

Explore using Python's concurrent.futures or joblib to parallelize the loops in backtest() and historical forecasts(). Focus on ensuring thread safety and proper handling of shared resources.

Tech stack

python

Domain

backend

Issue type

Performance

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

3

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

Half day

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

Active

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

Clear

Prerequisites

PythonParallel processing

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

30