This strategy overlays a trend moving average and Supertrend bands directly on the price chart while calculating Stochastic RSI values internally. Long positions trigger when price exceeds the moving average, Supertrend signals bullish momentum, and the StochR
Strategy · Pine Script v5 · On the chart
BBW
This strategy combines Bollinger Band Width volatility ratio calculations with a Coppock Curve momentum indicator.
GitHub stars2on the repository
Pine versionv5runs as is
Lines of code32
Settings2inputs
LicenceNone statedfile: MPL-2.0
Last update1 year ago7 Oct 2025
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above, or the copy button on the code below.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
32 lines of Pine Script v5 from 策略/开源分享/bbw估波.txt, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © buoudequkuairiji 原理讲解：https://www.youtube.com/watch?v=kXJmXtfhLmQ
//@version=5
strategy("bbw", overlay=true, max_bars_back=100, margin_long=1, initial_capital=10000, margin_short=1, commission_value=.05)
length = input.int(24, minval=1, title='Length') // 设置计算标准差所用的周期数
src = input(ohlc4, title='Source') // 设置数据源，默认是收盘价
// 计算标准差
standardDeviation = ta.stdev(src, length)
ema = ta.ema(src, length)
bbw = standardDeviation / ema
bbwsma = ta.ema(bbw,length)
// 在图表上绘制标准差
// plot(standardDeviation, title='Standard Deviation', color=color.new(color.blue, 0))
plot(bbwsma, title='ema', color=color.new(color.green, 0))
plot(bbw, title='bbw', color=color.new(color.white, 0))
// 估波曲线
curve = ta.wma(ta.roc(src, 14) + ta.roc(src, 11), 10)
longCondition = ta.crossover(bbw, bbwsma) and curve > 0
if (longCondition)
strategy.entry("buy", strategy.long)
shortCondition = ta.crossover(bbwsma, bbw) and curve < 0
if (shortCondition)
strategy.entry("sell", strategy.short)
// strategy.close("buy")
Overview
BBW calculates the ratio of standard deviation to EMA over a user-defined length, along with an EMA of that ratio. Long positions are entered when the ratio crosses above its EMA while the Coppock Curve is positive. Short positions are entered when the ratio crosses below its EMA while the Coppock Curve is negative. User settings control the source price and lookback length. The strategy operates without defined stop loss or take profit orders, relying on opposite signals to exit.
- Bollinger Band Width calculation relative to EMA
- Coppock Curve momentum filter
- EMA crossover signal generation
- Customizable price source and period length
Details
Published by
wynnforthework on GitHub
Code credit
buoudequkuairiji, as written in the script's header
Type
Draws
On the price chart
Category
Markets
Any symbol
Timeframes
Any timeframe
Risk Notes
- The strategy enters trades without a stop loss
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Length | int | 24 | length |
| Source | source | ohlc4 | src |
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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