Swaptairis ingests your financial data streams, analyzes them continuously and produces contextualized recommendations. Each result is recorded in a public log, viewable by the community.
A careful investor can follow a few indicators. Beyond that, judgment weakens and emotion regains control. Swaptairis does not replace your decision: it structures it from data processed continuously, without fatigue or recency bias.
Swaptairis was built on a simple principle: a recommendation is only valuable if its origin can be explained. Each output of the system is linked to the dataset and model parameters that produced it.
You don't need data science skills to use it. The interface translates the model results into clear indications: confidence level, time horizon, risk exposure.
Market flows, macroeconomic indicators and portfolio data are collected continuously and time-stamped.
The data is cleaned and put into comparable format to eliminate source and frequency discrepancies.
Statistical models identify recurring patterns and estimate scenario probability.
The result is translated into a readable recommendation, accompanied by a level of confidence and an application horizon.
The engine continually reevaluates the status of tracked positions as new data enters the system, rather than at a fixed interval. You are notified when a configuration change exceeds the defined threshold.
Each recommendation is accompanied by an assessment of the associated risk: estimated volatility, correlation with the rest of the portfolio, and modeled unfavorable scenario. The objective is not to maximize the return displayed, but to make the risk visible before the decision.
The system adjusts its suggestions according to the size and horizon of the portfolio being monitored, whether one-off savings or regular monitoring. Caution settings remain configurable at any time.
Representative structure of the decision log. The actual log is continuously timestamped and can be viewed from your space once your account is activated.
Each recommendation issued by the system is recorded at the precise moment of its generation, before its outcome is known. This sequencing prevents any subsequent rewriting of the log.
No. The interface translates the model results into plain language: confidence level, horizon, risk exposure. No code reading or technical settings are required.
It is a statistical program trained on historical data to estimate the probability of a future scenario. It does not guarantee a result, it assigns a probability to each observed configuration.
Each decision is time-stamped before its outcome is known, then reconciled with actual market data. Active users can view this log, making the displayed performance controllable and not self-proclaimed.
No. The data you connect is used only to generate your own recommendations. They are encrypted and hosted within the European Union, without transmission to commercial third parties.
Once your account is activated and your data sources are connected, the system produces an initial analysis as soon as the next ingestion cycle, without additional manual configuration.
Connecting your first data takes a few minutes. You retain the final decision at all times: Swaptairis provides the analysis, you remain in control.
Getting started with Swaptairis No artificial intelligence skills required to use the platform.