Swaparity processes market and operational data in real time, flags risk before it compounds, and issues a daily report so you can track accuracy rather than take it on faith.
Built for analytical professionals and gig-based investors across India who need consistent, data-backed decisions rather than one-off predictions.
Most independent analysts and part-time investors in India still rely on spreadsheets and periodic reviews. By the time a trend is confirmed manually, the window to act on it has often narrowed.
Average time to detect a material data shift
Manual review cycle
Continuous model monitoring
Swaparity combines continuous data ingestion with structured validation, so output is a recommendation with a documented basis, not a forecast without context.
Market and operational data streams are ingested continuously and normalised against historical baselines, reducing the lag between an event and its reflected impact in your dashboard.
Each recommendation is paired with a risk classification derived from volatility, correlation, and exposure checks, so you see the downside profile alongside the opportunity.
Outputs are structured to apply whether you manage a single portfolio or evaluate multiple opportunities in parallel, without requiring manual re-analysis for each case.
Performance claims are only useful if they can be checked. Swaparity issues a structured report every day so you can audit accuracy over time rather than rely on a single summary figure.
Inputs are logged at the point of ingestion, including source, timestamp, and the model version applied, so each recommendation can be traced back to its origin.
A report is compiled each trading day, showing recommendations issued, their risk tier, and the actual outcome once data closes, side by side.
You review the comparison directly in your account. Nothing is aggregated or smoothed before it reaches you, including periods of lower accuracy.
Account data and report history are stored with access controls scoped to your login, and platform access is logged. Swaparity does not sell or share your usage data with third parties for marketing purposes.
The same transparent reporting structure supports both portfolio-level oversight and day-to-day supplemental income decisions.
Institutional users apply Swaparity to track exposure across a basket of holdings, with the daily report flagging any position whose risk tier has shifted since the previous session.
Outcome focus: fewer manual cross-checks, earlier risk flags, and a documented audit trail for internal review.
Strategists use the platform to compare the projected impact of operational decisions, such as inventory shifts or pricing changes, against historical data patterns before committing resources.
Outcome focus: decisions backed by a documented data trail rather than a single internal estimate.
Gig-based investors use the daily report to decide where to allocate limited time and capital, without needing to run their own continuous market analysis.
Outcome focus: consistency of process, so results can be evaluated over weeks rather than judged on any single day.
Swaparity was built on the premise that an analytical tool should be judged on its recorded history, not its description. Every screen is designed to surface the data behind a recommendation, including the inputs considered and the risk tier assigned.
Access is structured for individual users managing their own decisions, with no requirement to commit capital through the platform itself.
Learn About Swaparity
No testimonials are used on this page. Instead, here is a direct account of data sources, validation, and limitations.
The model ingests publicly available market data, structured operational datasets provided by users, and historical pricing records. It does not use non-public or insider information.
Each recommendation logged in the daily report is compared against the realised outcome once that period closes. This comparison is retained in your report history and is not edited retroactively.
Incorrect or low-confidence recommendations remain visible in the daily report alongside correct ones. The goal of the report is a complete record, not a curated highlight set.
No. Swaparity provides data-driven recommendations and risk classifications. It does not guarantee financial outcomes, and all decisions based on platform output remain the responsibility of the user.
Each report entry includes the risk tier and the primary data factors considered for that recommendation, so users can assess the basis for a given output rather than treat it as a black box.
Model validation summary: recommendations are scored against realised outcomes on a rolling daily basis. Historical accuracy figures are available within your account report history and are not published as marketing statistics on this page, in order to avoid presenting past performance as a guarantee of future results.
Access the platform to see how a daily report is structured, including risk tiers and the outcome comparison, before committing any ongoing time or capital.
No capital commitment is required to review a sample report. Swaparity does not manage funds on behalf of users.