Every feature built around one question: is this decision worth the risk?
Zetta Asset combines structured data intake, disciplined scoring, and historical testing into a single workflow — designed for people who want a repeatable process, not a hunch.
A structured toolkit, not a black box
Each module below handles one part of the analysis pipeline. Together they give you a consistent, auditable path from raw data to a documented decision.
Data Aggregation
Pulls together publicly available financial and market datasets into a single, normalized view — removing the manual work of collecting and reconciling sources by hand.
Risk Scoring
Applies a consistent scoring framework to every opportunity, so options are compared on the same terms rather than judged by feel or headline appeal.
Signal Generation
Surfaces candidates that meet your defined criteria, flagging changes in underlying conditions rather than reacting to short-term price noise.
Backtesting Sandbox
Lets you run a strategy against historical data before committing capital, so assumptions are tested against a record rather than intuition alone.
Portfolio Fit Check
Evaluates how a new position interacts with what you already hold, highlighting concentration or overlap that might not be obvious at a glance.
Reporting & Records
Keeps a clear record of the data and reasoning behind each decision, useful for review, comparison, or simply remembering why a call was made.
Features that adapt to your role in the process
Whether you're doing the analysis yourself or reviewing someone else's recommendation, the same underlying data supports both.
For self-directed research
Filter datasets by your own criteria, adjust scoring weights, and export findings. The platform stays a tool you configure, not a system that decides for you. Every parameter is visible and editable.
For decision oversight
Use pre-built scoring templates and historical comparisons to sanity-check a decision before acting on it. Useful when you want a second, data-based perspective alongside your own judgment.
Feature sets by income focus
Different supplemental income approaches need different data emphasis. These groupings show how the same core features get applied.
Dividend & Yield Review
- Payout consistency tracking
- Sector and rate-sensitivity flags
- Historical yield comparison
Rental & Property Income
- Regional demand indicators
- Cost and vacancy modeling
- Long-term trend backtests
Diversified Portfolios
- Cross-asset overlap detection
- Combined risk scoring
- Scenario-based stress checks
Transparent by design
You can see how a score was reached and what data fed into it. Nothing is presented without a visible basis.
Illustrative backtest output — actual results depend on the data range and parameters you select.
Feature-specific FAQs
Yes. Scoring weights and thresholds are configurable, so the output reflects the criteria you consider relevant rather than a fixed default.
Backtests run against historical data over a period you define. It is intended for testing assumptions, not for predicting future performance.
Yes, results and the underlying data used to generate them can be exported for your own review or documentation.
The core modules are shared across income types, with data emphasis adjusted depending on whether you're reviewing dividends, rental income, or a mixed portfolio.
See the full feature set in a guided walkthrough
Request access to explore how Zetta Asset structures data, scoring, and testing into a single workflow.
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