Swaptere — interface for predictive analysis and monitoring of financial positions

Artificial intelligence that monitors your positions and limits the extent of losses

Swaptere continuously analyzes market signals, filters statistical noise and applies an intelligent stop-loss recalculated in real time, without you having to interpret any technical data.

Dashboard overview

Risk exposure, active stop-loss thresholds and recommendations awaiting validation, continuously updated from monitored market data.

The observation

Market noise makes the decision difficult to make alone

Prices fluctuate under the effect of thousands of simultaneous variables: trading volumes, macroeconomic announcements, algorithmic movements, market sentiment. For an individual without training in data analysis, distinguishing a real signal from a temporary variation requires time and expertise rarely available outside of professional trading rooms.

  • Multiplicity of data sources impossible to track manually
  • Decisions taken urgently during sudden declines
  • Absence of protection thresholds defined in advance
  • Reaction time too long in the face of partly automated markets

Illustration of the complexity of the flows monitored

Volume
Speed
Volatility
Dispersion

Schematic, unencrypted representation of the data dimensions processed by the analysis engine.

Swaptere's response

A predictive engine that translates raw data into decisions

Swaptere leverages statistical learning models trained on historical data series and real-time market feeds. The system identifies recurring patterns in prices, volumes and volatility, then estimates the likelihood that these patterns will recur.

This estimate feeds into a recommendation formulated in everyday language: maintain a position, adjust it, or secure it, without quantitative finance vocabulary.

Smart stop-loss

Rather than a fixed threshold defined once and for all, the system continuously recalculates the level of protection according to the volatility of the moment. The objective is not to avoid any loss, which would be illusory on financial markets, but to limit their scale and duration.

Market data → predictive analysis → protection threshold recalculated → recommendation sent for validation.
Swaptere — overview of how the predictive analytics engine works
The analysis engine processes the data streams ahead of any recommendation addressed to the user.
Concrete benefits

How automation changes for a non-technical investor

Each feature answers a simple question: how does it reduce my exposure to risk.

Framed passive income

Recommendations are generated continuously. You don't need to constantly monitor prices to benefit from active management of your positions.

Reduction of sudden losses

Smart stop-loss recalculates safety thresholds based on volatility, which reduces the magnitude of drawdowns rather than pretending to eliminate them.

Jargon-free decisions

Each recommendation is accompanied by an explanation in everyday language, with no technical indicators to interpret on your end.

Transparency of calculations

You view the thresholds applied and the reasons behind each adjustment, which can be consulted at any time from your space.

On the results measured: Swaptere evaluates its recommendations based on two indicators, the extent of losses avoided and the regularity of decisions over time. No returns are promised; the objective remains controlled growth of capital.
Method

From raw data to recommendation, in three steps

  1. Step 1

    Data collection and cleaning

    Market feeds, volumes and volatility indicators are collected continuously and then cleaned to remove outliers.

  2. Step 2

    Predictive analytics

    Statistical models identify significant configurations and estimate the probability of their evolution in the short term.

  3. Step 3

    Recommendation and active stop-loss

    A recommendation is made, accompanied by a protection threshold that is continuously recalculated to limit exposure to risk.

Note on transparency

Each recommendation is time-stamped and retains the history of the data that motivated it, which can be consulted at any time from your space.

Data security

Flows are encrypted in transit and at rest. No login information to your brokerage accounts is required to view recommendations.

Frequently asked questions

What Novice Investors Ask Most Often

On the risk

Does Swaptere guarantee no losses?

No. No system, no matter how sophisticated, can guarantee the absence of losses on financial markets. Smart stop-loss aims to limit the magnitude and duration of downturns, not to eliminate them.

How is smart stop-loss calculated?

The threshold is recalculated based on the recent volatility of the tracked asset. As volatility increases, the protection threshold becomes tighter, reducing exposure during periods of instability.

On the implementation

Do you need technical knowledge to use Swaptere?

No. The interface translates market signals into recommendations formulated in everyday language. No programming or statistical analysis skills are necessary.

How long does initial setup take?

Setup involves setting your risk preferences and which assets to track. It completes in minutes, without direct connection to your brokerage accounts.

On the logic of AI

What data does the engine rely on?

The engine analyzes historical price series, trading volumes and volatility indicators, updated continuously.

Are recommendations executed automatically?

No, by default they remain subject to your validation. Operation remains advisory, unless you explicitly choose an automated execution mode.

Start by observing, before deciding

View the recommendations generated for a sample portfolio and compare them to your own reading of the market, with no obligation on your part.

Start optimization

No credit card required. No login to your brokerage accounts is required to view the overview.