OPEN-SOURCE SCRIPT
Dual Adaptive Movings

### Dual Adaptive Movings
By Gurjit Singh
A dual-layer adaptive moving average system that adjusts its responsiveness dynamically using market-derived factors (CMO, RSI, Fractal Roughness, or Stochastic Acceleration). It plots:
* Primary Adaptive MA (MA): Fast, reacts to changes in volatility/momentum.
* Following Adaptive MA (FAMA): A smoother, half-alpha version for trend confirmation.
Instead of fixed smoothing, it adapts dynamically using one of four methods:
* ACMO: Adaptive CMO (momentum)
* ARSI: Adaptive RSI (relative strength)
* FRMA: Fractal Roughness (volatility + fractal dimension)
* ASTA: Adaptive Stochastic Acceleration (%K acceleration)
### ⚙️ Inputs & Options
* Source: Price input (default: close).
* Moving (Type): ACMO, ARSI, FRMA, ASTA.
* MA Length (Primary): Core adaptive window.
* Following (FAMA) Length: Optional; can match MA length.
* Use Wilder’s: Toggles Wilder vs EMA-style smoothing.
* Colors & Fill: Bullish/Bearish tones with transparency control.
### 🔑 How to Use
1. Identify Trend:
* When MA > FAMA → Bullish (fills bullish color).
* When MA < FAMA → Bearish (fills bearish color).
2. Crossovers:
* MA crosses above FAMA → Bullish signal 🐂
* MA crosses below FAMA → Bearish signal 🐻
3. Adaptive Edge:
* Select method (ACMO/ARSI/FRMA/ASTA) depending on whether you want sensitivity to momentum, strength, volatility, or acceleration.
4. Alerts:
* Built-in alerts trigger on crossovers.
### 💡 Tips
* Wilder’s smoothing is gentler than EMA, reducing whipsaws in sideways conditions.
* ACMO and ARSI are best for momentum-driven directional markets, but may false-signal in ranges.
* FRMA and ASTA excels in choppy markets where volatility clusters.
👉 In short: Dual Adaptive Movings adapts moving averages to the market’s own behavior, smoothing noise yet staying responsive. Crossovers mark possible trend shifts, while color fills highlight bias.
By Gurjit Singh
A dual-layer adaptive moving average system that adjusts its responsiveness dynamically using market-derived factors (CMO, RSI, Fractal Roughness, or Stochastic Acceleration). It plots:
* Primary Adaptive MA (MA): Fast, reacts to changes in volatility/momentum.
* Following Adaptive MA (FAMA): A smoother, half-alpha version for trend confirmation.
Instead of fixed smoothing, it adapts dynamically using one of four methods:
* ACMO: Adaptive CMO (momentum)
* ARSI: Adaptive RSI (relative strength)
* FRMA: Fractal Roughness (volatility + fractal dimension)
* ASTA: Adaptive Stochastic Acceleration (%K acceleration)
### ⚙️ Inputs & Options
* Source: Price input (default: close).
* Moving (Type): ACMO, ARSI, FRMA, ASTA.
* MA Length (Primary): Core adaptive window.
* Following (FAMA) Length: Optional; can match MA length.
* Use Wilder’s: Toggles Wilder vs EMA-style smoothing.
* Colors & Fill: Bullish/Bearish tones with transparency control.
### 🔑 How to Use
1. Identify Trend:
* When MA > FAMA → Bullish (fills bullish color).
* When MA < FAMA → Bearish (fills bearish color).
2. Crossovers:
* MA crosses above FAMA → Bullish signal 🐂
* MA crosses below FAMA → Bearish signal 🐻
3. Adaptive Edge:
* Select method (ACMO/ARSI/FRMA/ASTA) depending on whether you want sensitivity to momentum, strength, volatility, or acceleration.
4. Alerts:
* Built-in alerts trigger on crossovers.
### 💡 Tips
* Wilder’s smoothing is gentler than EMA, reducing whipsaws in sideways conditions.
* ACMO and ARSI are best for momentum-driven directional markets, but may false-signal in ranges.
* FRMA and ASTA excels in choppy markets where volatility clusters.
👉 In short: Dual Adaptive Movings adapts moving averages to the market’s own behavior, smoothing noise yet staying responsive. Crossovers mark possible trend shifts, while color fills highlight bias.
Script open-source
In pieno spirito TradingView, il creatore di questo script lo ha reso open-source, in modo che i trader possano esaminarlo e verificarne la funzionalità. Complimenti all'autore! Sebbene sia possibile utilizzarlo gratuitamente, ricorda che la ripubblicazione del codice è soggetta al nostro Regolamento.
Declinazione di responsabilità
Le informazioni ed i contenuti pubblicati non costituiscono in alcun modo una sollecitazione ad investire o ad operare nei mercati finanziari. Non sono inoltre fornite o supportate da TradingView. Maggiori dettagli nelle Condizioni d'uso.
Script open-source
In pieno spirito TradingView, il creatore di questo script lo ha reso open-source, in modo che i trader possano esaminarlo e verificarne la funzionalità. Complimenti all'autore! Sebbene sia possibile utilizzarlo gratuitamente, ricorda che la ripubblicazione del codice è soggetta al nostro Regolamento.
Declinazione di responsabilità
Le informazioni ed i contenuti pubblicati non costituiscono in alcun modo una sollecitazione ad investire o ad operare nei mercati finanziari. Non sono inoltre fornite o supportate da TradingView. Maggiori dettagli nelle Condizioni d'uso.