Schweizer Nachrichtenagentur AG – Analyst reviews AI-powered market data across multiple screens

AI-powered decision analysis

Well-founded investment decisions based on back-tested models

Schweizer Nachrichtenagentur AG evaluates historical and current market data using statistical models and provides comprehensible signals - suitable for people who need to make decisions regardless of location and trading times.

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Platform at a glance

Asset classes covered: Stocks, ETFs, FX, Commodities
Backtesting history: up to 20 years
Data update: Streaming, near real time
Access: Web-based, anytime

Initial situation

Manual market observation reaches its limits in volatile phases

Those who make decisions without a fixed office rhythm often work with fragmented sources of information and changing time windows. This makes consistent assessments difficult.

Delayed response time

There are often hours between market events and manual evaluation - especially when there is a time difference to the home market.

Fragmented data sources

Prices, news and key figures are available in separate tools and must be brought together individually.

Emotional distortion

Without a fixed process, short-term price movements influence decisions more than the underlying data.

Lack of comparability

Strategies are rarely tested under the same historical conditions, making results difficult to categorize.

How it works

How the analysis engine derives and checks signals

The platform combines statistical pattern recognition with a structured validation process before issuing a signal.

Pattern recognition Identification of recurring price trends across multiple market cycles.
Multi-factor backtesting Testing strategies against historical data under changing market conditions.
Real-time processing Current price data is continuously compared with the trained model.
API connection Direct connection to market data providers without manual data import.

Process of signal generation

Every signal goes through the same multi-step process, regardless of asset class or time horizon.

Data collection→ Normalization→ Model testing→ Validation→ Signal output

Signals that fail the validation level are discarded and not passed to the dashboard.

Metrics that are collected as part of each backtest
Key figure	Definition	Validation procedure
Sharpe Ratio	Ratio of return to risk taken	Rolling window over several periods
Maximum drawdown	Largest loss of value observed in the test period	Out-of-sample testing
Hit rate	Proportion of signals closed profitably	Walk forward analysis
Signal correlation	Consistency between test and live environments	Comparison of backtest vs. real-time data

The specific values for each strategy are individual and are displayed in the customer account after activation.

Use in everyday life

What the technical infrastructure means for the way you work

The functions of the platform translate into concrete facilitation for location-independent decision-makers.

Location-independent monitoring

Signals and reports can be accessed web-based, regardless of time zone or local infrastructure.

Systematic risk reduction

Decisions are based on tested rules rather than on spontaneous assessments of individual price movements.

Less time required

Data preparation and initial evaluation are no longer necessary because the platform carries out these steps automatically.

Comprehensible basis

Every signal can be traced back to the validation level and can therefore be justified in a documented manner.

Access to structured evaluations instead of unsorted raw data.
Uniform evaluation logic across all observed instruments.
Reduced manual reconciliation effort between multiple data sources.

Work surface

Structure of the dashboard: dense but organized

The surface prioritizes information density over decoration. Numbers are in tabular form, filters are directly accessible.

The dashboard is divided into three fixed areas: an overview of all active signals, a detailed view for each instrument with historical data and a report area for periodic summaries. You can switch between views without reloading.

Filterable signal list by asset class, confidence level and time period.
Export function for reports in CSV format for external further processing.
Configurable thresholds for new signal notifications.

Example view of the signal overview (sample data)
instrument	signal	Confidence	Timestamp
EUR/CHF	Long	0.78	09:14:02
ETF Global 100	Neutral	0.54	09:12:47
Commodity Index	Long	0.66	09:09:31
Stock XY (example)	Short	0.61	09:05:18

Values serve to illustrate the form of presentation and do not correspond to real market signals.

Procedure

From access to ongoing use

Instead of references, we disclose the process that each access goes through.

1

Registration and verification

Providing business contact details and identity verification in accordance with applicable regulations.
2

Recording the risk profile

Short questionnaire on investment horizon and risk tolerance as a basis for selecting a suitable strategy.
3

Joint backtesting review

Review of the historical test results of the relevant strategies before activation.
4

Activation of live access

Activation of the dashboard with real-time data connection after completion of the review.
5

Ongoing monitoring

Periodic reports and the ability to adjust strategies as the risk situation changes.

Data protection and access control: Account data is stored encrypted and used exclusively for analysis within your own account. The dashboard is accessed via personalized credentials with a limited session duration.

background

An approach designed for traceability

Schweizer Nachrichtenagentur AG develops the analysis models with a focus on testability instead of short-term metrics. Each model version is tested using historical data before activation, documented and only then released for live signals.

This approach makes it possible to understand model decisions afterwards - an aspect that is particularly relevant for users without a permanent presence at a trading venue.

Schweizer Nachrichtenagentur AG – Workstation with evaluation of backtesting results

Next step

Request access to the analysis platform

Access will be activated after the information has been checked. It is also possible to make a non-binding appointment for a system presentation.

Request system access

Requirements for access

Business or verifiable personal email address
Completed risk profile before activation of live access
Successful proof of identity according to the registration process
Stable internet connection for real-time data retrieval