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AIActivationFunctionsBipolarSigmoid is a Pine Script library that provides mathematical implementations of the bipolar sigmoid activation function and its derivatives for machine learning algorithms. It calculates bipolar sigmoid values bounded between -1 and
Library · Pine Script v6 · Library
Commonlib
Commonlib is a Pine Script v6 library of bar-geometry helpers that draws nothing by itself.
GitHub stars4on the repository
Pine versionv6current
Lines of code55
Settings0inputs
LicenceNone statedfile: MPL-2.0
Last updatetoday28 Oct 2026
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 library, select all of the template text and paste. Press Save and give it a name.
- 4Publish or import itA library draws nothing. Publish it from the editor, then import its functions in your own scripts.
Source Code
55 lines of Pine Script v6 from .innoobwetrust/life_hacks/tradingview/lib/commonlib.pine, 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/
// © InNoobWeTrust
//@version=6
// @description InNoobWeTrust's commonlib
library('commonlib')
// @function calculate percentage of candle's wick which is longer
// @returns the wick's percentage, negative value if wick is lower wick
export bar_wick_percent() =>
spread = high - low
upper_wick = open < close ? high - close : high - open
lower_wick = open < close ? open - low : close - low
max_wick = math.max(upper_wick, lower_wick)
bias = max_wick / spread
bias * (max_wick == lower_wick ? 1.0 : -1.0)
// @function calculate percentage of candle's body
// @returns the body's percentage, negative value if close price is lower than open
export bar_body_percent() =>
spread = high - low
body = (close - open) / spread
body
// @function Calculate the skewness of the bar as length percentage from the longer edge
// @returns the skewness in percentage, negative value means downard
export bar_skewness_percent() =>
wick = bar_wick_percent()
body = bar_body_percent()
bias_sign = math.sign(wick * body)
switch bias_sign
1. => wick + body
-1. => wick
// @function Calculate visible price range
// @returns tuple of [lowest, highest] price within visible range
export visible_price_range() =>
period_ms = timeframe.in_seconds() * 1000
lookback = chart.right_visible_bar_time - chart.left_visible_bar_time
left_bars = math.round(lookback / period_ms)
l = ta.lowest(left_bars)
h = ta.highest(left_bars)
// Return lowest and highest visible price
[l, h]
// @function calculate spread-based power of the bar
// @returns tuple of bar power and bias value, calculated from bar information
export bar_structure() =>
bar_balance = close - open
bull_pwr = math.max(high - open, high - close[1])
bear_pwr = math.max(open - low, close[1] - low)
bar_bias = bar_balance + bull_pwr - bear_pwr
bar_pwr = open + bar_bias
[bar_pwr, bar_bias]
Overview
Commonlib measures the longer wick as a share of the high-low range, signed when the lower wick is longer, and the candle body as a signed share of that range. It combines those readings into a skewness value and returns a bar power and bias from the open, close, and prior close. It also returns the lowest and highest prices across bars currently visible on the chart.
- Longer-wick percentage with direction sign
- Signed candle body share of range
- Bar skewness from wick and body
- Visible chart high and low range
- Spread-based bar power and bias
Details
Published by
InNoobWeTrust on GitHub
Type
Library, Pine Script v6
Draws
Library (no plots)
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
dotfiles
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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