Keen Accrualdom analytical dashboard overlooking a city skyline at dusk
Features

Built for disciplined, data-informed investing

Keen Accrualdom combines backtested AI models, structured research workflows, and clear reporting so you can evaluate opportunities with the same rigor as institutional desks — without the overhead.

Everything you need to move from signal to decision

Each module in Keen Accrualdom is designed to answer a specific question investors ask repeatedly — what changed, why it matters, and how it has performed historically under similar conditions. The result is a toolkit built around evidence, not guesswork.

Backtested model outputs

Every signal is accompanied by historical performance context, so you can see how similar conditions played out before acting on current data.

Structured research briefs

Raw data is distilled into organized briefs that separate observation from interpretation, making it easier to form your own independent view.

Scenario comparison tools

Compare multiple assumptions side by side to understand how sensitive an outcome is to changes in key variables before committing capital.

Portfolio-level tracking

View holdings in aggregate rather than in isolation, with context on concentration, overlap, and how positions relate to one another.

Custom alerting rules

Define the thresholds that matter to your strategy and receive updates only when conditions you've specified are actually met.

Exportable reporting

Generate clean, shareable summaries for internal review, committee discussions, or your own long-term record keeping.

Methodology note: All backtested outputs are based on historical data and modeled assumptions. They are provided for research and evaluation purposes and do not constitute a guarantee of future results.

Keen Accrualdom research team reviewing analysis on screen

Designed around how investors actually make decisions

Most tools present data without context, leaving the interpretation entirely up to you. Keen Accrualdom takes a different approach: every output is paired with historical framing, so you're never evaluating a number in isolation.

  • —Reduce time spent reconciling data from multiple disconnected sources.
  • —Replace ad-hoc spreadsheets with a consistent, repeatable research process.
  • —Keep a clear audit trail of the assumptions behind each decision.

From raw data to a defensible decision

01

Define your criteria

Set the variables, thresholds, and sectors relevant to your strategy so the platform focuses only on what matters to you.

02

Run the backtest

The model evaluates your criteria against historical data to show how comparable setups have behaved over time.

03

Review the research brief

Receive a structured summary separating raw observations from interpretation, ready for independent review.

04

Document and track

Export findings and monitor positions over time, with alerts if your defined conditions shift.


Common ways teams put Keen Accrualdom to work

Due diligence

Pressure-testing an investment thesis

Before committing capital, run your assumptions against historical patterns to see how robust the thesis has been under varying market conditions.

Portfolio review

Quarterly position reassessment

Use portfolio-level tracking to identify concentration risk and overlap across holdings before your next review cycle.

Internal reporting

Preparing committee materials

Generate exportable, structured briefs that present findings consistently across different analysts and reporting periods.

See Keen Accrualdom applied to your own criteria

Request a walkthrough and bring a real scenario — we'll show how the backtesting and reporting tools apply to it directly.

Backtested results reflect historical data and do not guarantee future performance.