kernc/backtesting.py

Optimize method fails w/o any error info

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#1,333 opened on Dec 4, 2025

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help wanted

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Description

Expected behavior

Image

I try to optimize a set of args, it fails. But it doesn’t show what the error is. A simple backtest runs, so I know that’s fine. I’ve tried printing to console with try/except in init & super. But nothing. Dunno how to tell what exactly the issue is if I don’t get errors

Code sample

Actual behavior

It just shows a failed bar. Instead of either actually working or showing the error stack

Additional info, steps to reproduce, full crash traceback, screenshots

No response

Software versions

  • backtesting.__version__: 0.6.4
  • pandas.__version__: 2.3.0
  • numpy.__version__: 2.2.0
  • bokeh.__version__: 3.7.3
  • OS: Sequoia 15.6.1

Contributor guide

Research direction
Inspect the `optimize` method in the backtesting.py source to see how it handles errors. Check if exceptions are caught and ignored, and trace the code path to identify where the error might be suppressed.
Tech stack
python
Domain
backend
Issue type
Bug
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.
Mostly clear
Prerequisites
Pythonbacktesting.py
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50