布林带计算器

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Calculate Bollinger Bands to identify volatility, potential reversals, and price targets using standard deviation-based bands

价格数据输入

每行输入一个价格,最新数据置顶
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用于计算的价格数据类型

Bollinger Bands Parameters

Period for the middle band MA (standard is 20)
Type of moving average for the middle band
Number of standard deviations for bands (standard is 2)
用于产生交易信号的方法

Understanding Bollinger Bands

Bollinger Bands are a versatile technical analysis tool developed by John Bollinger in the 1980s. They consist of a middle band (typically a 20-period moving average) with upper and lower bands placed at standard deviation levels above and below the middle band.

How Bollinger Bands Work

Bollinger Bands consist of three components:

Middle Band = n-period moving average
Upper Band = Middle Band + (k × n-period standard deviation)
Lower Band = Middle Band - (k × n-period standard deviation)

Where n is typically 20 periods and k is usually 2 standard deviations.

The bands expand and contract based on price volatility, providing dynamic support and resistance levels.

Additional Bollinger Band Indicators

  • Bandwidth: Measures the width of the bands relative to the middle band. Calculated as: (Upper Band - Lower Band) / Middle Band
  • %B (Percent B): Shows where price is in relation to the bands on a scale of 0 to 1, where:
    • %B = 1.0: Price at upper band
    • %B = 0.5: Price at middle band
    • %B = 0.0: Price at lower band
  • BandWidth: Can identify "squeezes" (periods of low volatility) that often precede significant price movements

Bollinger Bands Trading Strategies

Band Touches and Bounces

One of the most common strategies is to look for price touches or tests of the bands followed by reversal moves:

Bullish Signal: Price touches or slightly penetrates the lower band and then begins to move higher

Bearish Signal: Price touches or slightly penetrates the upper band and then begins to move lower

This strategy works best in ranging markets rather than strong trends.

Bollinger Band Squeeze

The "squeeze" occurs when volatility falls to a low level and the bands narrow dramatically:

1. Identify periods where the bands narrow significantly (low BandWidth)

2. Watch for the first significant move out of the narrow bands

3. Trade in the direction of the breakout

This strategy aims to capture the beginning of new trends following periods of consolidation.

Riding the Bands

In strong trends, price can "walk the band" by moving consistently along one band:

Uptrend: Price rides the upper band, with pullbacks typically finding support at the middle band

Downtrend: Price rides the lower band, with rallies typically finding resistance at the middle band

Exit when price crosses the middle band in the opposite direction of the trend.

Bollinger Band Divergence

Look for divergence between price movements and %B or bandwidth:

看涨背离: Price makes a lower low, but %B makes a higher low

看跌背离: Price makes a higher high, but %B makes a lower high

Divergences can signal potential reversals, especially when combined with other indicators or chart patterns.

Tips for Using Bollinger Bands Effectively

  • Don't use bands in isolation - Combine them with other indicators like RSI, MACD, or volume to confirm signals
  • Remember "bands are not boundaries" - Price can and does exceed the bands regularly, especially in trending markets
  • Watch for "W" bottoms and "M" tops - These patterns (double bottoms/tops with the second bottom/top holding above/below the lower/upper band) can be powerful reversal signals
  • Consider multiple timeframes - Using Bollinger Bands across different timeframes can provide more comprehensive analysis
  • Adjust parameters for different markets - While 20-period, 2 standard deviation bands are standard, you may need to adjust these parameters for different markets or timeframes
  • Pay attention to band width - Narrowing bands (decreasing volatility) often precede significant price moves, while widening bands indicate increasing volatility

本工具计算什么

以移动平均线为中轴,上下各加减若干个标准差的通道。

公式
中轨 = SMA(N);上轨 = SMA +(k × σ);下轨 = SMA −(k × σ)。常用 N = 20、k = 2
计算示例
20 期 SMA 为 1.0850、标准差 0.0030,则上下轨分别为 1.0910 及 1.0790。
何时使用
判断现价相对自身近期波动范围是否偏离。
常见错误
触及通道边界并非信号。强势趋势中,价格可长时间贴着上轨运行。