Finance Report Automation

Daily market intelligence workflows that combine live data checks, source discipline, and polished HTML reporting.

My role: Workflow architecture, market research automation, report generation
Status: Operational workflow

01 · The idea

Research automation that still respects market volatility

The work is less about generating a report once and more about making the daily process reliable: collect context, verify changing values, preserve source trails, and save the output in a consistent format.

02 · How it works

A repeatable report pipeline

The workflow uses a stable report structure, live-data checks for volatile values, and a persistent save path so every run improves the next one instead of starting from scratch.

Market story first, with opportunities and insights near the end.
Source discipline with source links grouped cleanly.
Dark HTML artifact style suited for daily reading.

03 · The hard part

Do not let stale data look authoritative

The key risk is not formatting. It is confidence. The workflow needs explicit verification around indices, prices, news recency, and source credibility before presenting conclusions.

04 · What's next

From report generator to decision cockpit

A future product version could layer alerting, watchlists, chart snapshots, source ranking, and personalized thesis tracking on top of the existing reporting workflow.

~/contributions

What I did

Designed the end-to-end research workflow: collect context, verify changing values, assemble the market narrative, and save a consistent HTML artifact.
Defined explicit verification checkpoints for indices, prices, news recency, and source credibility before publication.
Converted corrections and formatting decisions into reusable workflow instructions so later reports do not restart from zero.

~/outcomes

Results

Structures each run around a repeatable report format with stable artifact conventions.
Verifies volatile values before trusting cached or static sources.
Turns research corrections into compounding workflow memory.

Key decision

Should a daily report optimize first for speed or confidence?

Choice

Use cached and indexed material for discovery, then verify volatile claims live before publishing the final artifact.

Why

A polished report becomes misleading when recency is unclear. Verification is therefore part of generation, not a separate optional review.

Tradeoff

The workflow takes longer than generation-only automation, but produces a more defensible research artifact with an explicit source trail.

~/stack

Built with

Automation
HTML reports
Market data
AI-assisted research
OneDrive workflows

~/verification

Where to check it

Repeatable operating format
The workflow uses a stable report structure, consistent artifact convention, and grouped source trail across daily runs.
Live-data checkpoint
Volatile indices, prices, and time-sensitive news are rechecked against current rendered sources before the report presents them as fact.
Compounding corrections
Source preferences, recurring verification rules, and editorial corrections are retained as workflow guidance for subsequent runs.