Cedarbrook Financial Services

AI-augmented homelab, trading systems, and the messy reality of building with AI.

View the Project on GitHub mlesnews/lumina

Session S39 — R&D Ticket Blitz and Candlestick Pattern Enrichment

Key Points

  • R&D ticket blitz — 8 tickets resolved in a single session. Paper PnL confidence gap, emergence blind spots, 3Commas signal provider API research, NetworkX dependency graph analysis.
  • Dependency surgery — Replaced torchaudio MFCC with scipy, dropping torch and transformers from requirements. Massive reduction in attack surface and install size.
  • Candlestick patterns — Filled the TA-Lib gap with pure pandas implementations. No more C library dependency for pattern recognition.
  • Docker image audit — Confirmed docker/desktop-storage-provisioner:v3.0 is current. Infrastructure hygiene.
  • Post-commit hook fix — Tickets were getting resolved_by set but status left OPEN. Fixed the lifecycle gap.

Resolutions

  • T-000003633: Paper PnL confidence gap R&D
  • T-000003632: Emergence blind spots R&D
  • T-000003643: 3Commas Signal Provider API research
  • T-000003631: NetworkX dependency graph analysis
  • T-000003630: torchaudio → scipy MFCC replacement
  • T-000003629: Candlestick pattern enrichment (pure pandas)
  • C-000003669: Docker image pull confirmed
  • C-000003670/71: Resolved + counter update

By The Numbers

Metric Value
Commits 10
Tickets resolved 8
Dependencies dropped 2 (torch, transformers)
Candlestick patterns Pure pandas (no TA-Lib)

*Generated by @HISTORIAN Cedarbrook Financial Services LLC 2026-03-24*

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