Fonctionnalités Avantages Pourquoi nous Contact

D'où proviennent les données de marché traitées ?

Les flux sont agrégés depuis des fournisseurs de données de marché via connexions API, puis normalisés avant d'entrer dans le pipeline d'analyse. La liste des sources utilisées pour un abonnement donné est communiquée dans la documentation technique fournie à l'activation.

Quels protocoles de sécurité encadrent l'accès API ?

L'accès s'effectue par clés d'API dédiées, avec chiffrement du transport et rotation des identifiants selon une politique définie par niveau d'accès. Les journaux de connexion sont conservés pour permettre un audit en cas d'anomalie.

Quelle est la latence réelle entre réception et signal ?

La cible d'architecture est un traitement sous 100 ms entre l'ingestion d'un point de donnée et l'émission éventuelle d'un signal. Ce délai dépend de la charge du flux, du nombre de paires actives sur votre configuration et des conditions réseau côté client.

Le modèle est-il documenté ou s'agit-il d'une boîte noire ?

La méthodologie générale (indicateurs utilisés, logique de pondération, fenêtres temporelles) est documentée dans la documentation technique. Les paramètres fins de calibration, en revanche, ne sont pas publiés, pour des raisons de protection du modèle.

Peut-on connecter Mont Placion directement à un courtier ou une plateforme d'exécution ?

Le signal structuré est transmis via API et peut être relié à une plateforme d'exécution compatible. Mont Placion ne passe pas d'ordres pour le compte de l'utilisateur ; la décision et l'exécution restent sous votre contrôle.

Quantitative analysis platform

Monitoring of more than 500 market pairs, continuously analyzed by artificial intelligence

Mont Placion aggregates real-time market data feeds and applies statistical pattern recognition models to support decision-making, without replacing trader judgment.

Access the Terminal View the API Documentation

Multi-exchange consolidated data feed
Targeted analysis cycle under 100 ms
Infrastructure hosted in the European Union
Calibration on multiple market cycles

Flow overview — illustrative exampleT+0.04s

Pair	Price	Var.	Signal
EUR/USD	1.0842	+0.12%	Monitoring
BTC/USD	61,204	-0.38%	Analysis
XAU/USD	2,318.4	+0.21%	Monitoring
USD/JPY	151.62	-0.05%	Neutral

Non-contractual data, presented as a demonstration of the display format.

Coverage & capacity

A cover designed for volume, not demonstration

The ingestion engine processes feeds from multiple asset classes in parallel. The data density processed per cycle is designed for active market uses, where information depreciates in a few seconds.

500+

Pairs monitored continuously: forex, cryptoassets and main indices.

<100ms

Architectural objective for the ingestion → signal cycle.

24/7

Availability of the feed on the sessions covered by the markets monitored.

Methodology

Calibrated models, not promises

The goal is not to predict a direction with certainty, but to identify statistically significant patterns and quantify the risk associated with each signal.

Multi-window pattern recognition

The models combine indicators of momentum, volatility and order book structure over multiple time horizons. The parameters are recalibrated when the detected market regime changes, in order to limit model drift.

Detection of divergences between momentum and prices over several time units.
Dynamic risk weighting based on recent realized volatility.
Calibration of proposed stops and position sizes, for information only.
Complete logging of signals for a posteriori audit.

<100ms

Target latency, ingestion → signal

Multi-TF

Simultaneous analysis over several time units

Mont Placion — predictive analytics pipeline diagram

Integration

Fits into an existing tool stack

Mont Placion is not designed as an isolated tool. It is positioned upstream of execution, complementing the portfolio and risk management tools already in place.

Step 01 — Ingestion

Connection to market feeds

Aggregation and normalization of raw data: OHLCV, order book depth and transaction flows, via API connection.

Step 02 — Analysis

Pattern recognition

Application of conditional probability models on the selected time windows, with confidence score associated with each signal.

Step 03 — Decision support

Execution support

Transmission of the structured signal to your execution platform or broker, accompanied by the associated risk management parameters.

Risk management

Standard analysis versus AI-assisted analysis

The table below compares the structural characteristics of the two approaches, without assuming a guaranteed performance outcome.

Feature	Manual analysis	Mont Placion — AI
Pairs monitored simultaneously	Limited by human capacity	500+
Reaction time to a change in diet	Variable, operator dependent	Almost continuous
Cognitive biases (anchoring, confirmation)	Present, difficult to measure	Mitigated by objective rules
Decision logging	Often partial	Systematic
Availability	Operator standby schedules	24/7 on sessions covered

Filtering conflicting signals

The crossing of several indicators before issuing a signal aims to reduce the share of contradictory signals generated by a single isolated indicator, without going so far as to eliminate them entirely.

Drawdown optimization

The risk module adjusts the suggested position size based on realized volatility, in order to contain exposure within user-defined bounds.

Access

Access suitable for professional traders and desks

Two levels of access, depending on the volume of pairs tracked and the need for integration with your internal systems. Pricing is communicated on request, after evaluating your intended use.

Professional

For an independent trader or a small team wanting direct access to the terminal.

Access to the analysis terminal in real time
Complete coverage of 500+ pairs tracked
Configurable signal alerts
Searchable signal history
Technical documentation support

Request access

Institutional

For desks and management companies needing direct integration into their infrastructure.

Dedicated API access with extended quotas
Setting up risk models by portfolio
Export of logging for internal audit
Dedicated technical contact
Tailor-made contractual conditions

Consult the access conditions

Technical questions

Data sources, security and latency

The answers below cover points typically raised by technical teams before integration.

Where does the processed market data come from?

Feeds are aggregated from market data providers via API connections, then normalized before entering the analysis pipeline. The list of sources used for a given subscription is communicated in the technical documentation provided upon activation.

What security protocols govern API access?

Access is via dedicated API keys, with transport encryption and rotation of identifiers according to a policy defined by access level. Connection logs are kept to allow an audit in the event of an anomaly.

What is the actual latency between reception and signal?

The architectural target is processing within 100 ms between the ingestion of a data point and the possible emission of a signal. This delay depends on the flow load, the number of active pairs on your configuration, and client-side network conditions.

Is the model documented or is it a black box?

The general methodology (indicators used, weighting logic, time windows) is documented in the technical documentation. The fine calibration parameters, on the other hand, are not published, for reasons of model protection.

Can we connect Mont Placion directly to a broker or execution platform?

The structured signal is transmitted via API and can be linked to a compatible execution platform. Mont Placion does not place orders on behalf of the user; the decision and execution remain under your control.