How Whisone forms a market view.
Our research workflow combines structured market evidence with transparent rules and AI-assisted explanation. Scores are decision aids, not predictions or instructions to trade.
Evidence inputs
- Price, volume, liquidity, and available price history.
- Company fundamentals, valuation ratios, dividends, and corporate actions.
- News, filings, market events, sector context, and available analyst estimates.
- User-provided portfolio goals and risk preferences where applicable.
Scoring and confidence
Whisone weighs multiple factors rather than treating one metric as a verdict. Confidence reflects the freshness, completeness, and agreement of the available evidence. A high score with weak data coverage should not be interpreted the same way as a high score supported by current, complete inputs.
AI-assisted analysis
Language models may turn structured findings into summaries, research briefs, and natural-language explanations. The underlying data and deterministic checks remain separate from the generated prose. When AI generation is unavailable, some features may return a clearly identified rules-based result.
Freshness and limitations
Markets can move faster than any data pipeline. Each decision should account for the displayed update time, missing values, liquidity, corporate announcements, and the possibility of stale or incorrect third-party information. Forecasts and historical simulations are uncertain and do not guarantee future returns.
Using the output responsibly
Use Whisone to identify questions, compare evidence, and understand risk. Confirm material information against company filings, exchange notices, and qualified professional advice before committing capital.