指标
Breakout
Signal
Bollinger
[Hamster-Coder] Bollinger Bands
"[Hamster-Coder] Bollinger Bands" 标识
04/08/2025
1
Desktop
注册日期 09/06/2025
交易额
302.55K
盈利点数
614
销售
3
免费安装
53
"[Hamster-Coder] Bollinger Bands" 已上传图片"[Hamster-Coder] Bollinger Bands" 已上传图片"[Hamster-Coder] Bollinger Bands" 已上传图片"[Hamster-Coder] Bollinger Bands" 已上传图片"[Hamster-Coder] Bollinger Bands" 已上传图片

Description
The Bollinger Bands Indicator is a powerful volatility-based tool that helps identify overbought and oversold conditions, price extremes, and periods of market compression and expansion. This enhanced version offers extensive customization and multi-timeframe capabilities, making it ideal for both discretionary and algorithmic strategies.

[Hamster-Coder™ Algo Series]
This indicator is part of a broader series that implements Hamster-Coder™ Timeframe Decoupling — a unique feature that allows assigning individual timeframes to each key parameter. It enables true multi-timeframe analysis within a single chart — one of the most powerful and in-demand capabilities for modern traders.
To explore more indicators from this series, search for the “Hamster-Coder” keyword.

Key Features:

  • Timeframe Decoupling (series feature): Apply custom timeframes to components like the basis (moving average) and deviation source for precise multi-timeframe analysis.
  • Fully Customizable Basis: Select from SMA, EMA, RMA, WMA, and more for the central line calculation.
  • Dynamic Standard Deviation: Choose the price source and deviation multiplier to suit your strategy.
  • Multi-Timeframe Price Inputs: Use Open, Close, High, Low, HL2, HLC3, HLCC4, or OHLC4 from any available timeframe.
  • Volatility Visualization: Clearly highlights price expansions, contractions, and breakout zones.
  • Clean Integration: Works seamlessly in both manual trading and automated strategies.

This advanced Bollinger Bands implementation gives traders greater control over context, signal precision, and adaptive behavior — well beyond the standard version.

P.S. Happy trading and do not hesitate to advise functions to improve indicator in comments.



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