Asymmetrical RSI is an indicator that computes a custom relative strength index from the rate of change of a user-selected source. It plots the resulting ARSI line in a separate pane with color coding that turns green above the overbought level and red below t
Indicator · Pine Script v4 · Own pane
UCS Stochastic Momentum Index
This indicator calculates a Stochastic Momentum Index and is set to draw in a separate pane.
GitHub stars1on the repository
Pine versionv4older, still runs
Lines of code326
Settings20inputs
LicenceNone statedfile: MPL-2.0
Last update2 years ago2 Mar 2024
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
326 lines of Pine Script v4 from 080422/trade.pine, 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/
// © amico5
// # ========================================================================= #
// # script overview
// # ========================================================================= #
// # ========================================================================= #
// 1. simple test case for alerts.
// 2. two alerts: long only basic, long only extended
// 3. further buy, if there is alert on index, fut.
// 4. all alert cond, must be monitored to buy.
// 5. watch not to buy multiple times on the same subscript.
// 6. backtesting needed.
// 7. test on sandbox broker needed.
// 8. test 3 commodities.
// # ========================================================================= #
// # ========================================================================= #
// # script structure
// # ========================================================================= #
// # ========================================================================= #
// 1. version number (should b ver' 4. after tested, will b moved to ver' 5)
// 2. study / inducator (must have only one for all the script)
// 3. indicators numbers, indicator title
// 4. input variables
// 5. CALCULATIONS
// 6. plots Entry
// 7. trade definition (for the specific indicator)
// 8. compounding trade definitions (for the indicators, so far)
// 9. alerts Conditions (for the specific indicator)
// 10. compounding alerts Conditions (for the comulative, so far)
// # ========================================================================= #
// # ========================================================================= #
// # script version
// # ========================================================================= #
//@version=4
// # ========================================================================= #
// # script study or indicator
// # ========================================================================= #
// # ========================================================================= #
// "study" lione should be for all the script. one "study" for all indicators.
// # ========================================================================= #
study("one_indicator_UCS_Stochastic Momentum Index", shorttitle = "oneindicator_UCS_SMI", overlay=false)
// # ========================================================================= #
// 1st indicator
// # ========================================================================= #
// # ========================================================================= #
// input variables
// # ========================================================================= #
one_a = input(5, "Percent K Length")
one_b = input(3, "Percent D Length")
// # ========================================================================= #
// Range Calculation
// # ========================================================================= #
one_ll = lowest (low, one_a)
one_hh = highest (high, one_a)
one_diff = one_hh - one_ll
one_rdiff = close - (one_hh+one_ll)/2
// # ========================================================================= #
// Nested Moving Average for smoother curves
// # ========================================================================= #
one_avgrel = ema(ema(one_rdiff,one_b),one_b)
one_avgdiff = ema(ema(one_diff,one_b),one_b)
// # ========================================================================= #
// SMI calculations
// # ========================================================================= #
one_SMI = one_avgdiff != 0 ? (one_avgrel/(one_avgdiff/2)*100) : 0
one_SMIsignal = ema(one_SMI,one_b)
// # ========================================================================= #
// ob, os, zeroline calc
// # ========================================================================= #
one_ob = 40
one_os = -40
one_zeroline = 0
// # ========================================================================= #
// All PLOTS
// # ========================================================================= #
plot(one_SMI, title = "Stochastic Momentum Index")
plot(one_SMIsignal, color = #FF0000 , title = "SMI Signal Line")
one_ob_plot = plot(40, color = #FFCDD2 , title = "one_Over_Bought_plot")
one_os_plot = plot(-40, color = #008000 , title = "one_Over_Sold_plot")
one_zeroline_plot = plot(0, color = #0094ff , title = "one_Zero_Line_plot")
// # ========================================================================= #
// buy, sell Trade Definition
// # ========================================================================= #
one_Buy = crossover (one_SMI, one_os) // greater (only once)
one_Sell = crossunder(one_SMI, one_ob) // less than (only once)
// # ========================================================================= #
// alerts condition
// # ========================================================================= #
alertcondition(one_Buy, title="one_Buy Signal", message="one_Buy")
alertcondition(one_Sell, title="not_one_Sell Signal", message="not_one_Sell")
// 2nd indicator
// study("Overbought Oversold Indicator")
two_n = input(5, title="Length")
two_Barcolor=input(true,title="Barcolor")
two_ys1 = (high + low + close * 2) / 4
two_rk3 = ema(two_ys1, two_n)
two_rk4 = stdev(two_ys1, two_n)
two_rk5 = (two_ys1 - two_rk3) * 100 / two_rk4
two_rk6 = ema(two_rk5, two_n)
two_up = ema(two_rk6, two_n)
two_down = ema(two_up, two_n)
two_Oo = iff(two_up < two_down, two_up, two_down)
two_Hh = two_Oo
two_Ll = iff(two_up < two_down, two_down, two_up)
two_Cc = two_Ll
two_b_color = iff(two_Oo[1] < two_Oo and two_Cc < two_Cc[1], #FFFF00, iff(two_up > two_down, #008000, #FF0000))
barcolor(two_Barcolor ? two_b_color : na)
hline(0)
plot(two_Oo, style=plot.style_histogram, color=two_b_color)
plot(two_Ll, style=plot.style_histogram, color=two_b_color)
plot(two_up, color=two_b_color,title="Up")
plot(two_down, color=two_b_color,title="Down")
// the actual definition of the alerts to trade
// Buy = crossover(up, down)
// Sell = crossunder(up, down)
two_Buy = two_up > two_down
two_Sell = two_up < two_down
//
plotshape(two_Buy, title="two_Buy", color=#008000, style=shape.triangleup, location=location.bottom, text="Buy",size=size.tiny)
plotshape(two_Sell, title="two_Sell", color=#FF0000, style=shape.triangledown, location=location.top, text="Sell",size=size.tiny)
//
alertcondition(two_Buy, title="two_Buy Signal", message="two_Buy")
alertcondition(two_Sell, title="two_Sell Signal", message="two_Sell")
// 3rd indicator
// study(title="WaveTrend [LazyBear] copy", shorttitle="WT_LB_copy")
n1 = input(10, "Channel Length")
n2 = input(21, "Average Length")
obLevel1 = input(60, "Over Bought Level 1")
obLevel2 = input(53, "Over Bought Level 2")
osLevel1 = input(-60, "Over Sold Level 1")
osLevel2 = input(-53, "Over Sold Level 2")
ap = hlc3
esa = ema(ap, n1)
d = ema(abs(ap - esa), n1)
ci = (ap - esa) / (0.015 * d)
tci = ema(ci, n2)
wt1 = tci
wt2 = sma(wt1,4)
plot(0, color=gray)
p55 = plot(obLevel1, color=red)
p5 = plot(osLevel1, color=green)
p555 = plot(obLevel2, color= orange, style=3)
p7 = plot(osLevel2, color= green, style=3)
shortrig = plot(wt1, color= blue, title="shortrig")
longsig = plot(wt2, color= white, style=3, title = "longsig")
p77 = plot(wt1-wt2, color= orange, style=area, transp=80)
// what is BUY?, SELL ? ("the actual definition of the alerts to trade")
/////////////////////////////////////////////////////////////////
// advanced trade sample
//MA Distance plots the price's distance from a given MA in percent. It's color coded green (positive) or red (negative).
//MA types are:
// 1 - simple
// 2 - exponential
// 3 - Hull
// 4 - weighted
// 5 - volume weighted
// study(title = "Distance from MA", shorttitle="MA_dist")
length = input(50, minval=1, title="Length")
src = input(close, title="Source")
matype = input(1, minval=1, maxval=5, title="AvgType")
simplema = sma(src,length)
exponentialma = ema(src,length)
hullma = wma(2*wma(src, length/2)-wma(src, length), round(sqrt(length)))
weightedma = wma(src, length)
volweightedma = vwma(src, length)
avgval = matype==1 ? simplema : matype==2 ? exponentialma : matype==3 ? hullma : matype==4 ? weightedma : matype==5 ? volweightedma : na
distance=((close/avgval)-1)*100
Pcolor = distance > 0 ? color.green : color.red
// Pcolor = avgval > avgval[1] ? color.green : color.red
plot(distance,title='Color MA', color=Pcolor, linewidth=4)
// what is BUY?, SELL ? ("the actual definition of the alerts to trade")
////////////////////////////////////////////////////////////////////////////////////////////////////////
study(title="Mirror TSI-MACD by Trader Jay", shorttitle="Mirror_TSI_MACD")
// Getting inputs
fast_length = input(title="Fast Length", type=input.integer, defval=8)
slow_length = input(title="Slow Length", type=input.integer, defval=21)
First_R = input(title="First R", type=input.integer, defval = 8)
Second_S = input(title="Second S", type=input.integer, defval=5)
src = input(title="Source", type=input.source, defval=close)
signal_length = input(title="Signal Smoothing", type=input.integer, minval = 1, maxval = 50, defval = 9)
sma_signal = input(title="Simple MA(Signal Line)", type=input.bool, defval=false)
// Plot colors
col_grow_above = #26A69A
col_grow_below = #FFCDD2
col_fall_above = #B2DFDB
col_fall_below = #EF5350
col_macd = #0094ff
col_signal = #00ff00
col_mirror_macd = #ff0000
// Calculating
fast_ma = ema(src, fast_length)
slow_ma = ema(src, slow_length)
macd = fast_ma - slow_ma
/////
MTM = macd - macd[1]
ABSMTM = abs(MTM)
EMA_MTM = ema(MTM, First_R)
EMA_ABSMTM = ema(ABSMTM, First_R)
EMA2_MTM = ema(EMA_MTM, Second_S)
EMA2_ABSMTM = ema(EMA_ABSMTM, Second_S)
TSI = 100.0*EMA2_MTM/EMA2_ABSMTM
Mirror_TSI = -100.0*EMA2_MTM/EMA2_ABSMTM
signal = sma_signal ? sma(TSI, signal_length) : ema(TSI, signal_length)
plotshape(crossover(TSI,Mirror_TSI), color = color.green, style = shape.cross, location = location.top)
plotshape(crossover(Mirror_TSI,TSI), color = color.red, style = shape.cross, location = location.top)
hline(0)
plot(TSI, title="TSI_MACD", color=col_macd, transp=0)
plot(signal, title="Signal", color=col_signal, transp=0)
plot(Mirror_TSI, title="TSI_Mirror", color=col_mirror_macd)
// what is BUY?, SELL ? ("the actual definition of the alerts to trade")
// # ========================================================================= #
// add z-score ?, add two tsi
// # ========================================================================= #
Overview
UCS Stochastic Momentum Index finds the highest high and lowest low over the Percent K length, measures the close against the midpoint of that range, and smooths both the relative distance and the range with a nested exponential moving average. Percent K and Percent D lengths change the lookback and smoothing. Other inputs set overbought and oversold levels, channel and average lengths, and fast and slow periods. The shown code has no entry, exit, or stop rules.
- Stochastic range midpoint calculation
- Nested exponential moving average smoothing
- Percent K and Percent D length inputs
- Overbought and oversold level inputs
- Separate pane oscillator
Details
Published by
amico1234 on GitHub
Code credit
amico5, as written in the script's header
Type
Indicator, Pine Script v4
Draws
Separate pane below the chart
Category
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.
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Percent K Length | int | 5 | one_a |
| Percent D Length | int | 3 | one_b |
| Length | int | 5 | two_n |
| Barcolor | bool | true | two_Barcolor |
| Channel Length | int | 10 | n1 |
| Average Length | int | 21 | n2 |
| Over Bought Level 1 | int | 60 | obLevel1 |
| Over Bought Level 2 | int | 53 | obLevel2 |
| Over Sold Level 1 | int | -60 | osLevel1 |
| Over Sold Level 2 | int | -53 | osLevel2 |
| Length | int | 50 | length |
| Source | source | close | src |
Show all 20 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| AvgType | int | 1 | matype |
| Fast Length | int | 8 | fast_length |
| Slow Length | int | 21 | slow_length |
| First R | int | 8 | First_R |
| Second S | int | 5 | Second_S |
| Source | source | close | src |
| Signal Smoothing | int | 9 | signal_length |
| Simple MA(Signal Line) | bool | false | sma_signal |
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.
Similar Pine Scripts
This indicator calculates momentum setups based on the Relative Strength Index (RSI) and plots in a separate pane. It offers multiple scanning modes such as Continuous Break, Continuous Retracement, Flip Break, Flip Retracement, and both regular and hidden div
This indicator calculates a modified MACD oscillator and signal line alongside a trend EMA filter, plotting the output as a stylized column histogram in a separate pane. Instead of plotting true MACD distance, it quantifies positive and negative histogram mome
This indicator plots the Average Directional Index in a separate pane and colors the line teal or maroon according to whether plus DI is above minus DI. A horizontal key level and a silver background mark periods when ADX exceeds that threshold. With labels en
This indicator demonstrates an experimental graph-style scatter visualization within a separate pane using Pine Script arrays. It tracks two features across recent bars: the single-bar price change and a scaled 14-period Relative Strength Index. Values are loa
This script calculates and plots a Stochastic Oscillator (KD indicator) in a separate chart pane. It determines the fast stochastic value over a 9-period lookback, then applies a 3-period Simple Moving Average (SMA) to create the %K line, and a second 3-period
Trade Your Charts With a Regulated Broker
Compare brokers that connect to TradingView, with spreads, minimum deposits and leverage side by side.
Compare brokers