KI-gestützter Handel dashboard visualization of real-time predictive market data

Zero Fees / AI-Driven / Real-Time

Zero Fees, Automated Intelligence

KI-gestützter Handel runs predictive models against live market and macro data around the clock, so recommendations keep arriving no matter which time zone you're working from. No commissions are deducted from any trade.

Start Zero-Fee Trading See how it works

Illustrative model output — not live financial data

EUR/USD 1.0842

BTC/USD 61,240

Risk Index Low

Model Confidence High

Technical Edge

How the model produces a decision

Every recommendation passes through four stages before it reaches you. Each stage is logged and auditable.

Function	Method	Output
Data Ingestion	Multi-asset feeds aggregated and normalized continuously	Optimized
Predictive Modeling	Historical and live patterns synthesized into probability scores	Synthesized
Risk Assessment	Volatility and exposure calculated per open position	Adjusted
Execution Logic	Recommendation ranked by confidence and risk tolerance	Executed

24/7 Model runs continuously across all covered markets

Multi-Asset Coverage spans FX, equities, and major crypto pairs

Per-Position Risk scoring applied individually, not portfolio-wide

Real-time risk assessment

Position sizing is recalculated whenever volatility shifts beyond a set threshold. Recommendations are re-ranked automatically rather than held to a static schedule, which keeps exposure aligned with current conditions instead of yesterday's data.

The Core Difference

Your location changes. Your margins should not.

Traditional brokers charge per trade, per transfer, or per currency conversion. Those costs compound quickly for anyone trading from multiple countries in a single month.

Cost Item	Traditional Broker	KI-gestützter Handel
Trade Commission	Percentage per order	Zero
Currency Conversion	Spread markup	Zero
Inactivity Fee	Charged after dormancy	Zero
Withdrawal Fee	Fixed per transfer	Zero

Where the margin actually goes

Removing per-trade commissions does not change what the model recommends. It changes what you keep after the recommendation is executed. On a strategy with frequent position adjustments, fee drag is often the difference between a profitable month and a break-even one.

KI-gestützter Handel is built on the same premise: profit retention should not depend on which country you traded from, which currency you settled in, or how many trades the strategy required.

About the Platform

Built for decision speed, not dashboards

KI-gestützter Handel was engineered around a single constraint: remote investors need decisions, not raw charts. The system ingests structured and unstructured market data, runs it through predictive models trained on historical price behavior, and converts the output into a ranked recommendation with a stated confidence level.

The interface is deliberately dense rather than decorative. Every number shown is something the model calculated, not a design placeholder.

KI-gestützter Handel data analysis workspace showing model output review

Methodology

From raw data to a recommendation

Three stages, executed in sequence for every asset under coverage.

STEP 01

Data Ingestion

Price feeds, order-book depth, and macro indicators are pulled continuously and normalized into a common schema before any modeling begins.

STEP 02

Predictive Modeling

Historical patterns are matched against current conditions to generate directional probability scores, weighted by recent volatility.

STEP 03

Strategic Recommendation

Scores are ranked by confidence and risk tolerance, then delivered as a single actionable recommendation with no execution fee attached.

Applied Scenarios

Where the model gets used

Three recurring situations for remote investors managing positions across time zones.

Short-Term Volatility Long-Term Growth Risk Mitigation

Short-term volatility

A trader working across three time zones in one month cannot monitor every session in real time. The model flags volatility spikes as they form and pushes a ranked recommendation, so a position can be adjusted between flights or meetings instead of after the move has already happened.

Long-term growth optimization

For a portfolio built around steady accumulation, the model reduces recommendation frequency and instead weights signals toward multi-week trends. This keeps trading activity — and by extension attention required — proportional to the strategy's actual time horizon.

Risk mitigation scenario

When exposure on a single asset grows beyond the set threshold, the risk module flags it independently of the predictive score. The recommendation shifts toward reducing concentration first, even if the underlying model still rates the asset favorably.

Get Started

Keep 100% of what you earn.

No commission is deducted from any trade executed through KI-gestützter Handel. Registration takes a few minutes and does not require a minimum deposit to review the model's output.