OPEN-SOURCE SCRIPT

BTCUSDT Daily Chart SQUEEZE Strategy [Cyrano]

Diupdate
This strategy is designed to identify and trade market conditions based on momentum, squeeze setups, ADX, and RSI indicators. Here's a breakdown of its components and how they interact:

Key Indicators Used:

Squeeze Momentum:
Derived from linear regression of price movements.
Momentum is categorized into positive (increasing or decreasing) and negative (increasing or decreasing).
Momentum color coding:
Lime: Positive and increasing momentum.
Green: Positive and decreasing momentum.
Red: Negative and decreasing momentum.
Maroon: Negative and increasing momentum.
Momentum values are plotted for visualization.

Squeeze Setup (BB & KC):
Bollinger Bands (BB) and Keltner Channels (KC) are calculated:
A squeeze occurs when BB is inside KC (low volatility).
A squeeze release occurs when BB breaks outside KC (high volatility).

Squeeze states:
On: BB within KC (indicates potential breakout).
Off: BB outside KC (indicates active breakout).
No Squeeze: Neither condition is met.
The state is plotted as a colored line (e.g., blue for no squeeze).

ADX (Average Directional Index):
Measures trend strength.
Plotted with dynamic scaling.
Optional display of +DI and -DI for directional movement insights.

RSI (Relative Strength Index):
Helps gauge overbought (above 70) and oversold (below 30) conditions.
RSI levels (70, 50, 30) are plotted with a customizable background.

Strengths:
Combines multiple indicators to identify precise entry and exit points.
Visual aids make it easy to interpret market conditions.
Flexible configuration for different market conditions and trading styles.

Limitations:
Does not account for external market factors or news.
Performance may vary across different asset classes and timeframes.
The strategy only supports long trades and avoids short selling.

This strategy is ideal for traders who prefer systematic trading approaches, especially in markets with well-defined trends and volatility shifts. It balances technical insights with robust visual representation for informed decision-making.






Catatan Rilis
This strategy is designed to identify and trade market conditions based on momentum, squeeze setups, ADX, and RSI indicators. Here's a breakdown of its components and how they interact:

Key Indicators Used:

Squeeze Momentum:
Derived from linear regression of price movements.
Momentum is categorized into positive (increasing or decreasing) and negative (increasing or decreasing).
Momentum color coding:
Lime: Positive and increasing momentum.
Green: Positive and decreasing momentum.
Red: Negative and decreasing momentum.
Maroon: Negative and increasing momentum.
Momentum values are plotted for visualization.

Squeeze Setup (BB & KC):
Bollinger Bands (BB) and Keltner Channels (KC) are calculated:
A squeeze occurs when BB is inside KC (low volatility).
A squeeze release occurs when BB breaks outside KC (high volatility).

Squeeze states:
On: BB within KC (indicates potential breakout).
Off: BB outside KC (indicates active breakout).
No Squeeze: Neither condition is met.
The state is plotted as a colored line (e.g., blue for no squeeze).

ADX (Average Directional Index):
Measures trend strength.
Plotted with dynamic scaling.
Optional display of +DI and -DI for directional movement insights.

RSI (Relative Strength Index):
Helps gauge overbought (above 70) and oversold (below 30) conditions.
RSI levels (70, 50, 30) are plotted with a customizable background.

Strengths:
Combines multiple indicators to identify precise entry and exit points.
Visual aids make it easy to interpret market conditions.
Flexible configuration for different market conditions and trading styles.

Limitations:
Does not account for external market factors or news.
Performance may vary across different asset classes and timeframes.
The strategy only supports long trades and avoids short selling.

This strategy is ideal for traders who prefer systematic trading approaches, especially in markets with well-defined trends and volatility shifts. It balances technical insights with robust visual representation for informed decision-making.




Volatility

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