Indicator · Pine Script v6 · On the chart

Bulls Bears Index (BBI)

by mihakralj

The Bulls Bears Index (BBI) calculates a composite moving average by taking the arithmetic mean of four separate Simple Moving Averages (SMAs) with distinct lookback periods: ultra-short, short, medium, and long.

View on GitHub

GitHub stars99on the repository
Pine versionv6current
Lines of code98
Settings5inputs
LicenceApache-2.0
Last update4 weeks ago27 Sep 2026

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.

Source Code

98 lines of Pine Script v6 from lib/oscillators/bbi/bbi.pine, published under Apache-2.0. Keep the author's credit and licence lines when you reuse it.

bbi.pine
// Licensed under the Apache License, Version 2.0
// © mihakralj
//@version=6
indicator("Bulls Bears Index (BBI)", "BBI", overlay=true)

//@function Calculates Bulls Bears Index as average of four SMAs with different periods
//@param source Series to calculate BBI from
//@param p1 First SMA period (ultra-short trend)
//@param p2 Second SMA period (short trend)
//@param p3 Third SMA period (medium trend)
//@param p4 Fourth SMA period (long trend)
//@returns BBI value (average of four SMAs)
//@optimized O(1) complexity using four independent circular buffers
bbi(series float source, simple int p1, simple int p2, simple int p3, simple int p4) =>
    if p1 <= 0 or p2 <= 0 or p3 <= 0 or p4 <= 0
        runtime.error("All periods must be greater than 0")
    if p1 > 5000 or p2 > 5000 or p3 > 5000 or p4 > 5000
        runtime.error("Periods must not exceed 5000")

    var array<float> buf1 = array.new_float(p1, na)
    var int head1 = 0
    var float sum1 = 0.0
    var int cnt1 = 0

    var array<float> buf2 = array.new_float(p2, na)
    var int head2 = 0
    var float sum2 = 0.0
    var int cnt2 = 0

    var array<float> buf3 = array.new_float(p3, na)
    var int head3 = 0
    var float sum3 = 0.0
    var int cnt3 = 0

    var array<float> buf4 = array.new_float(p4, na)
    var int head4 = 0
    var float sum4 = 0.0
    var int cnt4 = 0

    float val = nz(source)

    float old1 = array.get(buf1, head1)
    if not na(old1)
        sum1 -= old1
    else
        cnt1 += 1
    sum1 += val
    array.set(buf1, head1, val)
    head1 := (head1 + 1) % p1

    float old2 = array.get(buf2, head2)
    if not na(old2)
        sum2 -= old2
    else
        cnt2 += 1
    sum2 += val
    array.set(buf2, head2, val)
    head2 := (head2 + 1) % p2

    float old3 = array.get(buf3, head3)
    if not na(old3)
        sum3 -= old3
    else
        cnt3 += 1
    sum3 += val
    array.set(buf3, head3, val)
    head3 := (head3 + 1) % p3

    float old4 = array.get(buf4, head4)
    if not na(old4)
        sum4 -= old4
    else
        cnt4 += 1
    sum4 += val
    array.set(buf4, head4, val)
    head4 := (head4 + 1) % p4

    float sma1 = sum1 / math.max(1, cnt1)
    float sma2 = sum2 / math.max(1, cnt2)
    float sma3 = sum3 / math.max(1, cnt3)
    float sma4 = sum4 / math.max(1, cnt4)

    (sma1 + sma2 + sma3 + sma4) / 4.0

// ---------- Main loop ----------

// Inputs
i_source = input.source(close, "Source")
i_p1 = input.int(3, "Period 1 (Ultra-Short)", minval=1, maxval=5000)
i_p2 = input.int(6, "Period 2 (Short)", minval=1, maxval=5000)
i_p3 = input.int(12, "Period 3 (Medium)", minval=1, maxval=5000)
i_p4 = input.int(24, "Period 4 (Long)", minval=1, maxval=5000)

// Calculation
bbi_value = bbi(i_source, i_p1, i_p2, i_p3, i_p4)

// Plot
plot(bbi_value, "BBI", color=color.yellow, linewidth=2)

Overview

Optimized for streaming efficiency using circular buffers, it smooths price data to identify broader market trend direction directly on the main price chart. Users can customize the price source and adjust all four SMA lookback periods to tailor the sensitivity to different timeframes.

Details

Published by

mihakralj on GitHub

Type

Indicator, Pine Script v6

Draws

On the price chart

Category

Trend, Moving averages

Markets

Any symbol

Timeframes

Any timeframe

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Topics

algorithmic-tradingcsharpdotnetpinescriptpythonquantitative-financesimdta-libtechnical-analysistechnical-indicators

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
Sourcesourceclosei_source
Period 1 (Ultra-Short)int3i_p1
Period 2 (Short)int6i_p2
Period 3 (Medium)int12i_p3
Period 4 (Long)int24i_p4
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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