Fier Capœuvre processes your data feeds in real time and adjusts its recommendations as your trading behavior evolves. You keep control over each parameter.
Representative visualization of the tracking interface: price feeds, risk-weighted signals and history of model adjustments.
Active traders spend a significant portion of their day watching screens. The resulting fatigue directly influences the quality of decisions.
Monitoring several pairs or assets simultaneously requires you to distribute your attention, to the detriment of responsiveness to the most relevant signals.
A series of rapid losses or gains changes the perception of risk, even among experienced traders, and pushes them to deviate from the initial plan.
Risk management rules defined once do not always take into account changes in volatility or volume in the market.
Fier Capœuvre was built to address what can be automated — continuous monitoring and parameter adjustment — while leaving strategic decisions in your hands.
The predictive engine watches how you adjust your positions, stops and lot sizes, then refines its recommendations accordingly.
We favor the consistency of recommendations over time rather than the multiplication of signals. A model that changes its mind too often loses reliability, even if it appears responsive.
The team that designs Fier Capœuvre prioritizes the quality of input data and the traceability of model decisions, so that you can always trace a recommendation to the source.
Each processing step is designed to remain verifiable, from stream collection to final signal display.
Prices, volumes and order books are ingested continuously, with precise timestamps to avoid synchronization lags.
Aberrant or incomplete data is discarded before entering the model, in order to limit false signals.
The model evaluates several possible trajectories and weights them according to your declared and observed risk profile.
The recommendation is presented with its confidence level, and remains subject to your validation before any automatic execution.
The model does not treat a scalper and a long-term investor with the same analysis windows. Select a profile to see how the settings differ.
The signals are recalculated every minute, with reduced noise tolerance to limit inputs on movements that are too small.
Stop thresholds are adjusted more frequently, consistent with the intraday volatility observed on the asset being monitored.
The recommendations integrate several sessions to distinguish an emerging trend from a simple technical correction.
Position size adjustments are offered in increments, to limit sudden changes in exposure.
The model favors macroeconomic trends and multi-week cycles rather than daily variations.
Recommendations are reviewed at reduced frequency, with alerts limited to significant structural changes.
The most asked questions before implementing automated monitoring of trading decisions.
Connection credentials and parameters are encrypted at rest and in transit. Fier Capœuvre only accesses the data necessary to calculate recommendations, with no automatic execution rights until you explicitly enable it.
Processing occurs in a continuous flow: the delay depends on the latency of your source data stream, with the model only adding additional marginal calculation time.
The integration depends on the interfaces exposed by each broker. We recommend checking compatibility with your supplier before putting it into production.
Yes. Automation can be deactivated at any time, and risk settings return to fully manual without loss of history already recorded.
No. The model provides recommendations based on analysis of historical and real-time data; it does not constitute a guarantee of performance and does not replace your own judgment.
A more specific technical question? Contact our support team.
Configure your risk thresholds, connect your data feed and let the model adjust at your decision pace.
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