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BlackQuant Signal Node

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BlackQuant Signal Node (Institutional Premium)
[English] BlackQuant Signal Node is an advanced quantitative trading framework designed for high-precision trend following and institutional-grade market analysis. It integrates multi-layer momentum filtering with a robust state machine to eliminate market noise and capture significant price movements.

Core Engine Components:

Deep Trend Node (SSL): A primary trend filter identifying the macro direction of the market.

Momentum Pulse (CCMA): An adaptive exponential layer that tracks momentum acceleration.

Pulse Node (HAMA): A Weighted Moving Average pulse engine for micro-entry optimization.

Signal Cooling System: An inbuilt mechanism that prevents over-trading by enforcing a minimum bar distance between contradictory signals.

UI Features:

Institutional Dashboard: Real-time monitoring of Win Rate, Profit Factor, and Volatility Risk.

Monospaced Data Node: Precise signal labels providing entry, target, and shield (Stop Loss) coordinates.

Canvas Translucency: Designed for professional "dark mode" setups with gapless background environment rendering.
เอกสารเผยแพร่
BlackQuant Signal Node V3.2.2
BlackQuant Signal Node is a high-precision quantitative framework designed for institutional-grade trend tracking. Version 3.2.2 introduces a refined "Triple Node" filtering logic to ensure signal stability in volatile markets.

Key Features:

Power Line : Core trend node defining macro market bias.

Market Momentum : Adaptive momentum filter to capture acceleration phases.

Pulse : High-sensitivity pulse engine for precision entries.

Signal Cooling: Default 200-bar anti-noise mechanism to prevent over-trading.

Live Dashboard: Real-time monitoring of Trend State, RSI Momentum, and ATR Volatility Risk.

Projection Lines: Automatic visual mapping of Take Profit and Stop Loss targets upon signal confirmation.

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ข้อมูลและบทความไม่ได้มีวัตถุประสงค์เพื่อก่อให้เกิดกิจกรรมทางการเงิน, การลงทุน, การซื้อขาย, ข้อเสนอแนะ หรือคำแนะนำประเภทอื่น ๆ ที่ให้หรือรับรองโดย TradingView อ่านเพิ่มเติมใน ข้อกำหนดการใช้งาน