Daily Stock Analysis

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name: daily-stock-analysis description: Deterministic daily stock analysis skill for global equities. Use when users need daily analysis, next-trading-day close prediction, prior forecast review, rolling accuracy, and reliable markdown report output.

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Daily Stock Analysis

Perform market-aware, evidence-based daily stock analysis with prediction, next-run review, rolling accuracy tracking, and a structured self-evolution mechanism that updates future assumptions from observed forecast errors.

Hard Rules

1. Read and write files only under working_directory. 2. Save new reports only to:

/daily-stock-analysis/reports/

3. Use filename:

YYYY-MM-DD--analysis.md

4. If same ticker/day file exists, ask user:

overwrite or new_version (-v2, -v3, ...)

For unattended runs, default to new_version

5. Always review history before new prediction. 6. Limit history read count to control token usage:

Script mode: max 5 files (default)

Compatibility mode: max 3 files

Required Scripts (Use First)

1. Plan output path + collect history:

python3 {baseDir}/scripts/report_manager.py plan \
  --workdir  \
  --ticker  \
  --run-date  \
  --versioning auto \
  --history-limit 5

2. Compute rolling accuracy from existing reports:

python3 {baseDir}/scripts/calc_accuracy.py \
  --workdir  \
  --ticker  \
  --windows 1,3,7,30 \
  --history-limit 60

3. Optional: migrate legacy files after explicit user confirmation:

python3 {baseDir}/scripts/report_manager.py migrate \
  --workdir  \
  --file  --file 

Compatibility Mode (No Python / Small Model)

If Python scripts are unavailable or model capability is limited, switch to minimal mode:

1. Read at most 3 recent reports for the same ticker. 2. Use only a minimal source set:

one official disclosure source

one reliable market data source (Yahoo Finance acceptable)

3. Output concise result only:

recommendation

pred_close_t1

prior review (prev_pred_close_t1, prev_actual_close_t1, AE, APE) if available

one improvement_action

4. Save report with same filename rules in canonical reports directory.

See references/minimal_mode.md.

Minimal Run Protocol

1. Resolve ticker/exchange/market (ask if ambiguous). 2. Run report_manager.py plan. 3. Read history_files returned by script. 4. If legacy_files exist, list all absolute paths and ask whether to migrate. 5. Gather data using references/sources.md + references/search_queries.md. 6. Run calc_accuracy.py for consistent metrics. 7. Render report using references/report_template.md. 8. Save to selected_output_file returned by report_manager.py.

Required Output Fields

Must include:

recommendation

pred_close_t1

prev_pred_close_t1

prev_actual_close_t1

AE, APE

rolling strict/loose accuracy fields

improvement_actions

Self-Improvement (Required)

Each run must include 1-3 concrete improvement_actions from recent misses and use them in the next run. Do not skip this step.

Scheduling Recommendation

Recommend users set this as a weekday recurring task (for example 10:00 local time) to keep prediction-review windows continuous.

References

Default:

references/workflow.md

references/report_template.md

references/metrics.md

references/search_queries.md

references/sources.md

references/minimal_mode.md

references/security.md

Deep-dive only (full_report mode):

references/fundamental-analysis.md

references/technical-analysis.md

references/financial-metrics.md

Compliance

Always append:

"This content is for research and informational purposes only and does not constitute investment advice or a return guarantee. Markets are risky; invest with caution."