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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.
Freunde

Fügen Sie Freunde über ihre Profile oder über die Suche hinzu, und Sie können mit ihnen kommunizieren und ihre Aktivität auf der Webseite verfolgen.

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 Hat ein Produkt angeboten

Vision: Produktbeschreibung Vision von Quant Atlas ist ein Mehrkomponenten Indikator für Umkehrsignale, der entwickelt wurde, um kurzfristige bullische und bärische Erschöpfungspunkte in liquiden Märkten zu identifizieren. Das Modell kombiniert mehrere unabhängige technische Evidenzschichten, darunter Momentum Verhalten, Mean Reversion Druck, volatilitätsbasierte Bedingungen, Trend Interaktion, Timing Struktur sowie Bestätigungen im Zusammenhang mit gleitenden Durchschnitten. Das finale Ergebnis