Indicator
NAS100
XAUUSD
Commodities
Forex
EURUSD
BTCUSD
AI
Indices
Prop
ATR
Stocks
Crypto
USDJPY
Scalping
WHT AIRRA
"WHT AIRRA" logo
21/10/2025
1
Desktop
Since 24/02/2025
Traded volume
1.36B
Pips won
77.19K
Free installs
8
"WHT AIRRA" uploaded image

What it is and what it's for

WHT AIRRA (Adaptive Intelligent Risk/Reward Algorithm) is a professional indicator that automatically calculates stop-loss and take-profit levels based on real market volatility. This adaptive and intelligent algorithm rapidly filters different market regimes (trending, ranging, high/low volatility), continuously adjusting to current conditions. It eliminates the uncertainty of using arbitrary numbers, enabling coherent and professional risk management.

What it is NOT

It does NOT generate automatic buy/sell signals nor is it a complete trading system. It's not a prediction tool for future movements. It's exclusively a risk management solution that answers "where to exit if wrong?", not "where to enter?".

Key features

Offers three operating modes: AIRRA (intelligent adaptive with regime identification), ATR (traditional classic method), and Free (manual control). Includes professional visualization with colored zones, labels with exact prices in pips, and automatic R:R ratios (0.5R, 1.0R). Bilingual ES/EN interface with instant switching. DEMO version limited to 1 single instance and 2 fixed take-profits.

Technical details

Implements three-layer computational architecture: second-order IIR recursive digital filtering for high-frequency noise elimination, volatility estimation via recursive Bayesian inference with probabilistic uncertainty management, and self-calibrating scale factor using recursive least squares with exponential forgetting factor enabling regime-change adaptation. O(1) algorithmic complexity in adaptive mode, O(N) in classic mode. Real-time processing with per-candle updates, efficient memory management through graphic object reuse, coherence validation system, and automatic market regime detection for dynamic internal parameter adjustment.

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