Raccourci IA data analysis dashboard representing AI-driven market monitoring
System status: monitoring active

Consistent supplemental income, built on disciplined data analysis

Raccourci IA applies predictive models to real-time market data and protects capital with a Smart Stop-Loss system that limits drawdowns before they compound.

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Raccourci IA analyst reviewing real-time risk signals on a trading workstation

Drawdowns erase the hours you worked to earn supplemental income

Gig income is already unpredictable. Adding speculative trades on top of it, without a system to cap losses, turns a side income into a second source of stress.

Market noise overwhelms most part-time traders. A single bad session can offset a month of gains. Raccourci IA replaces reactive, emotional decisions with algorithmic precision: every position is sized, monitored, and exited according to fixed rules, not sentiment.

The result is a filtering layer between raw market data and your capital. Signals are processed before they reach you, and risk is capped before it reaches your account.

The Smart Stop-Loss system: automated exits, assessed in real time

Every open position is re-evaluated continuously against live volatility, price action, and correlated market signals. When the risk profile of a position shifts beyond a defined threshold, the system triggers an automated exit — without waiting for manual confirmation.

This is not a fixed percentage trailing stop. The exit threshold adjusts to current market conditions, tightening during periods of elevated volatility and relaxing when conditions stabilize. The objective is capital preservation, not prediction accuracy.

  • 01Minimizes drawdowns by closing exposed positions before losses accumulate beyond the defined risk budget.
  • 02Removes manual intervention from the exit decision, reducing hesitation and emotional override.
  • 03Recalculates risk thresholds continuously, adapting to volatility rather than relying on static rules.
Illustrative drawdown containment

Dashed line marks the automated exit threshold applied to active positions. Representative diagram, not live account data.

How the predictive model turns raw data into a recommendation

Transparency in the process matters more than the promise of returns. Here is what happens between a market event and a recommendation reaching your account.

Step 1

Data ingestion

The system pulls real-time price, volume, and volatility signals across tracked instruments, alongside macro indicators relevant to the German market. Data is normalized before it enters the model.

Step 2

Predictive modeling

Incoming signals are filtered through models trained to detect emerging risk and opportunity patterns. Low-confidence signals are discarded rather than forwarded, reducing noise in the output.

Step 3

Execution

Qualified signals are translated into a sized recommendation with a predefined stop-loss level attached. Position and exit rules are delivered together, not as separate decisions.

How the system behaves in different market environments

Consistency does not mean identical returns every week. It means the system adapts its exposure to what the data shows, rather than applying one strategy regardless of conditions.

Stable markets

Maintaining margin in low-volatility conditions

When volatility compresses, position sizing increases modestly within defined limits, and stop-loss thresholds tighten to reflect the reduced range of expected movement.

Volatile markets

Reducing exposure as noise increases

During volatility spikes, the model lowers confidence thresholds for new entries and widens exit buffers temporarily, prioritizing capital preservation over frequency of trades.

Bearish trends

Limiting drawdown exposure in sustained downturns

In persistent downward trends, the system reduces net exposure and relies more heavily on the stop-loss mechanism to contain losses until conditions stabilize.

Risk, data handling, and setup — answered directly

How does the stop-loss actually limit my risk?

Each position carries a predefined exit level calculated at entry and recalculated as market conditions change. The system closes the position automatically when that level is reached, regardless of whether you are actively monitoring the account. This caps the loss on any single position before it affects your broader capital base.

What happens to my data, and is it stored in Germany?

Account and transaction data are processed under data protection standards applicable to users in Germany. Data is used solely to generate recommendations for your account and is not shared with third parties for marketing purposes. Full handling details are outlined in our privacy policy.

How long does setup take before the system is active?

Setup involves connecting a supported account and defining your risk parameters, including maximum exposure per position. Most users complete configuration within a single session. The predictive model begins monitoring signals as soon as parameters are confirmed.

Stop guessing. Start optimizing.

Raccourci IA combines real-time predictive signals with an automated stop-loss system, so your supplemental income depends on consistent process, not on constant attention.