This indicator plots the Schaff Trend Cycle in a separate pane. It subtracts a slow exponential moving average from a fast one, applies a stochastic cycle twice, and smooths each result to form a 0–100 oscillator. Line color follows the slope, or the upper and
Indicator · Pine Script v4 · Own pane
[RS]Standardized Trend Map
Standardized Trend Map calculates series momentum relative to active price range across 40 distinct lookback periods ranging from 2 to 80 bars on an exponential moving average source.
GitHub stars261on the repository
Pine versionv4older, still runs
Lines of code107
Settings0inputs
LicenceNone statedfile: MPL-2.0
Last update4 years ago13 Nov 2021
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 indicator, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.
Source Code
107 lines of Pine Script v4 from [RS]Standardized Trend Map.pinescript, published under MPL-2.0 (file header). Keep the author's credit and licence lines when you reuse it.
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © RicardoSantos
//@version=4
study(title='[RS]Standardized Trend Map', shorttitle='STM')
f_standardize(_src, _length)=>
//| Returns the standardized trend output of series momentum versus its active range.
//| values 1, 0, -1
float _mom = _src - _src[_length - 1]
float _range = highest(_src, _length) - lowest(_src, _length)
float _standard = round(_mom / _range)
[_mom, _range, _standard]
float src = ema(close, input(1))
int length00 = 002, int length10 = 022, int length20 = 042, int length30 = 062
int length01 = 004, int length11 = 024, int length21 = 044, int length31 = 064
int length02 = 006, int length12 = 026, int length22 = 046, int length32 = 066
int length03 = 008, int length13 = 028, int length23 = 048, int length33 = 068
int length04 = 010, int length14 = 030, int length24 = 050, int length34 = 070
int length05 = 012, int length15 = 032, int length25 = 052, int length35 = 072
int length06 = 014, int length16 = 034, int length26 = 054, int length36 = 074
int length07 = 016, int length17 = 036, int length27 = 056, int length37 = 076
int length08 = 018, int length18 = 038, int length28 = 058, int length38 = 078
int length09 = 020, int length19 = 040, int length29 = 060, int length39 = 080
[m00, r00, s00] = f_standardize(src, length00)
[m01, r01, s01] = f_standardize(src, length01)
[m02, r02, s02] = f_standardize(src, length02)
[m03, r03, s03] = f_standardize(src, length03)
[m04, r04, s04] = f_standardize(src, length04)
[m05, r05, s05] = f_standardize(src, length05)
[m06, r06, s06] = f_standardize(src, length06)
[m07, r07, s07] = f_standardize(src, length07)
[m08, r08, s08] = f_standardize(src, length08)
[m09, r09, s09] = f_standardize(src, length09)
[m10, r10, s10] = f_standardize(src, length10)
[m11, r11, s11] = f_standardize(src, length11)
[m12, r12, s12] = f_standardize(src, length12)
[m13, r13, s13] = f_standardize(src, length13)
[m14, r14, s14] = f_standardize(src, length14)
[m15, r15, s15] = f_standardize(src, length15)
[m16, r16, s16] = f_standardize(src, length16)
[m17, r17, s17] = f_standardize(src, length17)
[m18, r18, s18] = f_standardize(src, length18)
[m19, r19, s19] = f_standardize(src, length19)
[m20, r20, s20] = f_standardize(src, length20)
[m21, r21, s21] = f_standardize(src, length21)
[m22, r22, s22] = f_standardize(src, length22)
[m23, r23, s23] = f_standardize(src, length23)
[m24, r24, s24] = f_standardize(src, length24)
[m25, r25, s25] = f_standardize(src, length25)
[m26, r26, s26] = f_standardize(src, length26)
[m27, r27, s27] = f_standardize(src, length27)
[m28, r28, s28] = f_standardize(src, length28)
[m29, r29, s29] = f_standardize(src, length29)
[m30, r30, s30] = f_standardize(src, length30)
[m31, r31, s31] = f_standardize(src, length31)
[m32, r32, s32] = f_standardize(src, length32)
[m33, r33, s33] = f_standardize(src, length33)
[m34, r34, s34] = f_standardize(src, length34)
[m35, r35, s35] = f_standardize(src, length35)
[m36, r36, s36] = f_standardize(src, length36)
[m37, r37, s37] = f_standardize(src, length37)
[m38, r38, s38] = f_standardize(src, length38)
[m39, r39, s39] = f_standardize(src, length39)
f_col(_i)=>(_i<=-1?color.red:(_i>=+1?color.lime:color.silver))
plot(series=000+s00, title='', color=f_col(s00), style=plot.style_columns, transp=50, histbase=000.0)
plot(series=001+s01, title='', color=f_col(s01), style=plot.style_columns, transp=50, histbase=001.0)
plot(series=002+s02, title='', color=f_col(s02), style=plot.style_columns, transp=50, histbase=002.0)
plot(series=003+s03, title='', color=f_col(s03), style=plot.style_columns, transp=50, histbase=003.0)
plot(series=004+s04, title='', color=f_col(s04), style=plot.style_columns, transp=50, histbase=004.0)
plot(series=005+s05, title='', color=f_col(s05), style=plot.style_columns, transp=50, histbase=005.0)
plot(series=005+s05, title='', color=f_col(s05), style=plot.style_columns, transp=50, histbase=005.0)
plot(series=006+s06, title='', color=f_col(s06), style=plot.style_columns, transp=50, histbase=006.0)
plot(series=007+s07, title='', color=f_col(s07), style=plot.style_columns, transp=50, histbase=007.0)
plot(series=008+s08, title='', color=f_col(s08), style=plot.style_columns, transp=50, histbase=008.0)
plot(series=009+s09, title='', color=f_col(s09), style=plot.style_columns, transp=50, histbase=009.0)
plot(series=010+s10, title='', color=f_col(s10), style=plot.style_columns, transp=50, histbase=010.0)
plot(series=011+s11, title='', color=f_col(s11), style=plot.style_columns, transp=50, histbase=011.0)
plot(series=012+s12, title='', color=f_col(s12), style=plot.style_columns, transp=50, histbase=012.0)
plot(series=013+s13, title='', color=f_col(s13), style=plot.style_columns, transp=50, histbase=013.0)
plot(series=014+s14, title='', color=f_col(s14), style=plot.style_columns, transp=50, histbase=014.0)
plot(series=015+s15, title='', color=f_col(s15), style=plot.style_columns, transp=50, histbase=015.0)
plot(series=015+s15, title='', color=f_col(s15), style=plot.style_columns, transp=50, histbase=015.0)
plot(series=016+s16, title='', color=f_col(s16), style=plot.style_columns, transp=50, histbase=016.0)
plot(series=017+s17, title='', color=f_col(s17), style=plot.style_columns, transp=50, histbase=017.0)
plot(series=018+s18, title='', color=f_col(s18), style=plot.style_columns, transp=50, histbase=018.0)
plot(series=019+s19, title='', color=f_col(s19), style=plot.style_columns, transp=50, histbase=019.0)
plot(series=020+s20, title='', color=f_col(s20), style=plot.style_columns, transp=50, histbase=020.0)
plot(series=021+s21, title='', color=f_col(s21), style=plot.style_columns, transp=50, histbase=021.0)
plot(series=022+s22, title='', color=f_col(s22), style=plot.style_columns, transp=50, histbase=022.0)
plot(series=023+s23, title='', color=f_col(s23), style=plot.style_columns, transp=50, histbase=023.0)
plot(series=024+s24, title='', color=f_col(s24), style=plot.style_columns, transp=50, histbase=024.0)
plot(series=025+s25, title='', color=f_col(s25), style=plot.style_columns, transp=50, histbase=025.0)
plot(series=025+s25, title='', color=f_col(s25), style=plot.style_columns, transp=50, histbase=025.0)
plot(series=026+s26, title='', color=f_col(s26), style=plot.style_columns, transp=50, histbase=026.0)
plot(series=027+s27, title='', color=f_col(s27), style=plot.style_columns, transp=50, histbase=027.0)
plot(series=028+s28, title='', color=f_col(s28), style=plot.style_columns, transp=50, histbase=028.0)
Overview
Each standardized calculation rounds to an integer values of -1, 0, or 1 to indicate bearish, neutral, or bullish momentum. The indicator plots these standardized values as dynamic colored columns in a separate pane, visualising multi-horizon trend alignment.
- Multi-period momentum standardization
- 40 lookback length evaluations
- Color-coded histogram column visualization
- Customizable EMA source input
Details
Published by
ricardosantos79 on GitHub
Code credit
RicardoSantos, as written in the script's header
Type
Indicator, Pine Script v4
Draws
Separate pane below the chart
Category
Trend, Oscillators & momentum
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.
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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