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Quant Atlas 📈 builds quantitative market intelligence tools for traders and market researchers.

🔹Our work focuses on algorithmic support and resistance levels, market structure analytics, conviction frameworks, path probability, and decision support indicators for MetaTrader 5.
🔹Our goal is to make market analysis more structured, less subjective, and easier to interpret directly on the chart.

Quant Atlas products are designed as analytical tools:

🟡 Zones: A supply/demand moving zones to detect where markets should react. It has a strong conviction filter to give out the best reactions.
🔴 Vision: A smart aggregation all-in-one indicator that gives directional signals. It has a strong conviction filter to give out the best reactions.
🟠 Yubel: A trend exhaustion indicator that detects fading trends and reversal spots. It has a strong conviction filter to give out the best reactions.
🟢 Freyja: A pattern recognition indicator that detects reversals. It has a strong conviction filter to give out the best reactions.
⚪ Kronos: A topology-based indicator that detects certain hidden patterns and triggers directional signals. It has a strong conviction filter to give out the best reactions.
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Sofien Kaabar
Sofien Kaabar
Quant Atlas products are now coming to MetaTrader 5!

Our indicators will be published on MT5 on a rolling basis, starting with tools focused on structured market analysis, reversal detection, signal conviction, and tactical decision support.

The goal is simple: bring Quant Atlas research and market intelligence into a format traders can use directly on their charts.

More products will be added over time as we expand the MT5 suite.
Sofien Kaabar Produits publiés

Vision : description du produit Vision par Quant Atlas est un indicateur de signaux de retournement multi composants, conçu pour identifier les points d’essoufflement haussiers et baissiers à court terme sur les marchés liquides. Le modèle agrège plusieurs couches indépendantes de preuves techniques, notamment le comportement du momentum, la pression de retour à la moyenne, les conditions fondées sur la volatilité, l’interaction avec la tendance, la structure temporelle et les confirmations