Tomorrow Live: Data Bank + Nightly Prep + Confidence/Drift + Advisor (Delta-Only)

[Newcoderorigin]

Summary

• add an offline-first data bank with deterministic synthetic/yfinance providers, parquet ingest CLI, and catalog support for downstream loaders
• implement a nightly preparation pipeline that ingests history, builds features, trains a calibrated classifier, optimises thresholds, and writes briefs/model artifacts while checking drift
• expose confidence scoring utilities, UI widgets, strategy ranking, advisor surfaces, a deterministic bench harness, and CI coverage alongside targeted tests and docs updates

Testing

• ruff check
• black .
• mypy --config-file mypy.ini toptek/databank toptek/pipelines toptek/confidence toptek/rank toptek/advisor tests/test_databank.py tests/test_prep_nightly.py tests/test_confidence.py tests/test_advisor.py tests/test_ranker.py
• pytest

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https://chatgpt.com/codex/tasks/task_e_68e13e02d3e483299d89c6c425ef6da2

[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Remove unsupported indent argument in RankResult JSON writer

The new RankResult.to_json calls pd.DataFrame(...).to_json(orient="records", indent=2). Pandas’ DataFrame.to_json does not accept an indent keyword (it is only available on json.dumps). At runtime this method will raise TypeError: to_json() got an unexpected keyword argument 'indent', so any attempt to persist rankings as JSON fails. Drop the indent argument and let callers pretty‑print if needed.

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