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Sigmoid RSI | NAL
1. Overview
Sigmoid RSI | NAL is an adaptive momentum-regime indicator built from a transformed RSI engine, sigmoid weighting, and two independently adaptive smoothing layers.
Instead of using raw RSI values directly, the indicator recenters RSI around its midpoint and passes the result through a sigmoid transformation. This reshapes the oscillator into a smoother 0–100 momentum curve while preserving directional pressure around the central regime.
The final signal is refined through volatility-sensitive smoothing and an optional momentum-driven signal line, creating a more adaptive structure than a standard RSI with fixed smoothing.
2. Calculation
The indicator starts by calculating RSI from the selected source and centering it around 50. This converts the standard RSI range into a positive and negative momentum input around the neutral midpoint.
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The centered RSI is then passed through a sigmoid function. The sigmoid transformation compresses extreme values and smoothly maps the momentum input back into a 0–100 range.
Pine Script®
The indicator then builds two separate adaptive feeds.
The volatility feed measures changes in ATR, while the momentum feed measures changes in a separate RSI calculation.
Pine Script®
These feeds are used inside a sigmoid-weighted EMA. The sigmoid output adjusts the smoothing alpha dynamically, allowing the moving average to respond differently as the input environment changes.
Pine Script®
The main Sigmoid RSI is smoothed using the volatility feed. This makes its response sensitive to changes in the volatility environment.
Pine Script®
A second adaptive smoothing layer creates the signal line using the momentum feed. This gives the indicator an internal directional reference that reacts to changes in momentum rather than using a fixed moving average alone.
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The bullish state requires the Sigmoid RSI to rise above the upper threshold. When confluence is enabled, it must also remain above its adaptive signal line.
The bearish state requires the Sigmoid RSI to fall below the lower threshold and, when enabled, remain below the signal line.
Pine Script®
When neither condition is active, the previous directional state is preserved.
3. Key Features
4. Use
Sigmoid RSI is designed to identify when momentum transitions into a more established bullish or bearish regime.
A move above the upper threshold reflects bullish momentum expansion, while a move below the lower threshold reflects bearish momentum deterioration. The adaptive signal line adds another layer of internal structure by measuring whether the transformed RSI remains aligned with its momentum-driven smoothing path.
The indicator’s behavior is shaped by both volatility and momentum changes, allowing its response to shift with the underlying environment rather than remaining mechanically fixed.
Sigmoid RSI is designed as a specialized momentum component within a complete strategy architecture. Its real value lies in how its adaptive regime state is integrated into a broader decision process, where several layers of market behavior are evaluated together.
Sigmoid RSI | NAL is an adaptive momentum-regime indicator built from a transformed RSI engine, sigmoid weighting, and two independently adaptive smoothing layers.
Instead of using raw RSI values directly, the indicator recenters RSI around its midpoint and passes the result through a sigmoid transformation. This reshapes the oscillator into a smoother 0–100 momentum curve while preserving directional pressure around the central regime.
The final signal is refined through volatility-sensitive smoothing and an optional momentum-driven signal line, creating a more adaptive structure than a standard RSI with fixed smoothing.
2. Calculation
The indicator starts by calculating RSI from the selected source and centering it around 50. This converts the standard RSI range into a positive and negative momentum input around the neutral midpoint.
The centered RSI is then passed through a sigmoid function. The sigmoid transformation compresses extreme values and smoothly maps the momentum input back into a 0–100 range.
The indicator then builds two separate adaptive feeds.
The volatility feed measures changes in ATR, while the momentum feed measures changes in a separate RSI calculation.
These feeds are used inside a sigmoid-weighted EMA. The sigmoid output adjusts the smoothing alpha dynamically, allowing the moving average to respond differently as the input environment changes.
The main Sigmoid RSI is smoothed using the volatility feed. This makes its response sensitive to changes in the volatility environment.
A second adaptive smoothing layer creates the signal line using the momentum feed. This gives the indicator an internal directional reference that reacts to changes in momentum rather than using a fixed moving average alone.
The bullish state requires the Sigmoid RSI to rise above the upper threshold. When confluence is enabled, it must also remain above its adaptive signal line.
The bearish state requires the Sigmoid RSI to fall below the lower threshold and, when enabled, remain below the signal line.
When neither condition is active, the previous directional state is preserved.
3. Key Features
- Sigmoid-transformed RSI momentum engine.
- Adaptive volatility-sensitive RSI smoothing.
- Momentum-driven adaptive signal line.
- Dynamic smoothing alpha generated through sigmoid weighting.
- Upper and lower threshold regime detection.
- Optional signal-line confluence.
- Glow plot, threshold fills, candle coloring, bar coloring, and transition labels.
4. Use
Sigmoid RSI is designed to identify when momentum transitions into a more established bullish or bearish regime.
A move above the upper threshold reflects bullish momentum expansion, while a move below the lower threshold reflects bearish momentum deterioration. The adaptive signal line adds another layer of internal structure by measuring whether the transformed RSI remains aligned with its momentum-driven smoothing path.
The indicator’s behavior is shaped by both volatility and momentum changes, allowing its response to shift with the underlying environment rather than remaining mechanically fixed.
Sigmoid RSI is designed as a specialized momentum component within a complete strategy architecture. Its real value lies in how its adaptive regime state is integrated into a broader decision process, where several layers of market behavior are evaluated together.
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
🔵 Access our best trading & investing tools, get a 30-day free trial today: whop.com/nordic-alpha-lab/
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
🔵 Access our best trading & investing tools, get a 30-day free trial today: whop.com/nordic-alpha-lab/
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.