Néorélise relies on decision-making intelligence to continuously process large volumes of market data and execute a passive strategy, supervised at every moment by an algorithmic stop-loss.
Console overview: real-time data feed, continuously adjusted protection thresholds, allocation driven by an automatically calculated risk score.
Price variations generate emotional reactions which rarely deviate from long-term logic.
Faced with a sudden decline, the temptation to sell in a hurry or, on the contrary, to maintain a losing position in the hope of a rebound, distorts the execution of a coldly defined strategy. This bias is accentuated when the investor follows the markets in parallel with a professional activity, without constant availability.
Néorélise removes the emotional component from execution by applying predefined exit rules. The decision to limit a loss is no longer taken instantly, but calculated in advance and applied without delay by the algorithm.
Each component responds to a specific need: limit losses, anticipate market developments, act without delay.
The exit threshold is not fixed: it adjusts according to the volatility observed on the asset concerned, in order to limit premature withdrawal during normal fluctuations while quickly cutting a position in the event of a proven reversal. This mechanism constitutes the main safeguard against significant losses.
The models analyze price history, volumes and several market indicators to estimate the probability of different development scenarios. This estimate fuels capital allocation, without claiming to predict the market with certainty.
Once a rule is triggered, the order is transmitted immediately, without waiting for manual validation. This speed reduces the gap between the calculated decision and its effective application on the market.
Operation is based on three successive, reproducible and verifiable steps, rather than on a black box.
Prices, volumes and technical indicators are collected continuously on the markets monitored, then normalized to be comparable between assets and periods.
Each position is rated based on its exposure to volatility and its correlation with the rest of the portfolio, which determines the level of stop-loss protection applied.
Algorithmic arbitrage readjusts positions based on measured risk and predictive signals, without manual intervention at each cycle.
The mechanisms described above apply differently depending on the availability and objectives of the user.
An investor carrying out a salaried activity cannot monitor the markets during the day. Stop-loss rules and re-allocation thresholds continue to apply during working or sleeping hours, limiting exposure to an unmonitored decline.
The objective is not to eliminate the risk, but to contain it within limits defined in advance by the user.
A project leader who devotes his time to the development of his main activity delegates the monitoring of his positions to the algorithm. Portfolio adjustments are triggered according to set risk thresholds, without requiring day-to-day manual arbitrage.
The notion of passive income only holds if the risk of major loss is contained. This is the role of the algorithmic stop-loss: it acts as a safety net that operates independently of the user's presence, both during the day and outside traditional market hours.
Néorélise formalizes risk management rules and applies them consistently, at a speed that manual monitoring cannot reproduce. You set the framework, the algorithm executes it.
Data processing complies with the requirements applicable in France. No performance guarantee is associated with the use of the platform; investment decisions remain the responsibility of the user.