This Pine v4 study ports early NostalgiaForInfinity V6 conditions onto the price chart. It computes two Bollinger setups, several EMAs and SMAs, RSI, MFI, a percent SMA spread labeled EWO, a 14-period choppiness value, and short and longer volume medians. Fixe
Indicator · Pine Script v4 · Own pane
PPO ATR Bands
PPO ATR Bands plots a percentage price oscillator in a separate pane.
GitHub stars75on the repository
Pine versionv4older, still runs
Lines of code98
Settings9inputs
LicenceGPL-3.0
Last update3 years ago17 Mar 2023
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
98 lines of Pine Script v4 from ppo_atr_bands.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.
// Copied from Pecker, before he dissappeared from CT
//@version=4
study(title="PPO ATR Bands", overlay=false,resolution="30")
//----MA
t1= input(120,title="Slow Length")
t2= input(60,title="Fast Length")
t3 = input(240, title= "ATR Band Length")
psar = sar(0.02, 0.02, 0.2)
evwma(x, y) =>
ema(x * volume, y) / ema(volume, y)
ma = evwma(psar,t1)
ma1 = hma(hlc3,t2)
//----ATR
mult1 = input(1.50, minval=1, title="Deviation multiplier 1")
mult2 = input(2.25, minval=1, title="Deviation multiplier 2")
mult3 = input(3.00, minval=1, title="Deviation multiplier 3")
range = tr
atR= evwma(range,t3)
up1 = ma + atR * mult1
up2 = ma + atR * mult2
up3 = ma + atR * mult3
dn1 = ma - atR * mult1
dn2 = ma - atR * mult2
dn3 = ma - atR * mult3
//---- PPO
ppo = ((ma1 - ma) / ma) * 100
ppoup1 = ((up1 - dn1) / dn1) * 100
ppoup2 = ((up2 - dn2) / dn2) * 100
ppoup3 = ((up3 - dn3) / dn3) * 100
ppodn1 = ((dn1 - up1) / up1) * 100
ppodn2 = ((dn2 - up2) / up2) * 100
ppodn3 = ((dn3 - up3) / up3) * 100
//---- Percentile (can't remember source)
t4 = input(60, title= "Percentile Length")
pcntAbove = input(90, title="Hi is Above X% of Sample", step=1.0)
pcntBelow = input(90, title="Lo is Below X% of Sample", step=1.0)
smplAbove = percentile_nearest_rank(ppo, t4, pcntAbove)
smplBelow = percentile_nearest_rank(ppo, t4, 100 - pcntBelow)
//---- Colour / Plots / Fills
////---- Odin's Volume and Volatility Composite
// Historical Volume
b = sum(volume,24)
c = 0.0
for i = 24 to 1200 by +24
c := b[i] + c
d = c / 50
vol = b / d
// Historical Volatility
b2 = sum(atr(24),24)
c2 = 0.0
for i2 = 24 to 1200 by +24
c2 := b2[i2] + c2
d2 = c2 / 50
volat = b2 / d2
composite = vol/volat
f_col(composite) => composite > 2.5 ? #FFFFFFff : composite > 2.4 ? #FFFFFFef :composite > 2.3 ? #FFFFFFdf : composite > 2.2 ? #FFFFFFcf : composite > 2.1 ? #FFFFFFbf : composite > 2. ? #FFFFFFaf : composite > 1.9 ? #FFFFFF9f : composite > 1.8 ? #FFFFFF8f : composite > 1.7 ? #FFFFFF7f : composite > 1.6 ? #FFFFFF6f : composite > 1.5 ? #FFFFFF5f : composite > 1.4 ? #FFFFFF4f : composite > 1.3 ? #FFFFFF3f : composite > 1.2 ? #FFFFFF2f : composite > 1.1 ? #FFFFFF1f : #FFFFFF10
vcol1 = iff(ppo > 0,f_col(composite),na)
vcol2 = iff(ppo < 0,f_col(composite),na)
Trend = ppo > 0 ? 1 : -1
col = Trend == 1 ? color.blue : color.red
plot(ppo,title= "Ma", color=col, transp= 75, style=plot.style_area)
aa=plot(ppoup1,title= "ATR top1", color=color.white,transp=70)
bb=plot(ppoup2,title= "ATR top2", color=color.gray,transp=70)
cc=plot(ppoup3,title= "ATR top3", color=color.white,transp=70)
dd=plot(ppodn1,title= "ATR bot1", color=color.white,transp=70)
ee=plot(ppodn2,title= "ATR bot2", color=color.gray,transp=70)
ff=plot(ppodn3,title= "ATR bot3", color=color.white,transp=70)
roof= plot(ppo > smplAbove ? ppo : smplAbove, title="roof", color=na,transp=100)
probOB= plot(smplAbove, title="OB", color=color.blue,transp=100)
probOS= plot(smplBelow, title="OS", color=color.blue,transp=100)
floor= plot(ppo < smplBelow ? ppo : smplBelow, title="floor", color=na,transp=100)
fill(bb,cc,title="Fill Top ATR",color=vcol1)
fill(ee,ff,title="Fill Bottom ATR",color=vcol2)
fill(roof, probOB, color=color.blue, transp=0,title="fill z percentile top")
fill(floor, probOS, color=color.red, transp=0, title="fill z percentile bottom")
hline(0,title="Midline",linestyle=hline.style_solid, color=color.gray)
Overview
PPO ATR Bands compares a Hull average of typical price with a volume-weighted exponential average of Parabolic SAR, then scales three true-range bands around the slow average into matching oscillator levels. Percentile ranks mark high and low extremes and fill those regions. A volume-to-volatility ratio changes the opacity of the outer band fills, while the oscillator area is blue above zero and red below. Lengths, multipliers, and percentile thresholds are adjustable. The study is fixed to a 30-minute resolution and does not generate trade signals.
- PPO of Hull and volume-weighted SAR
- Three ATR deviation bands
- Percentile high and low fills
- Volume-volatility composite coloring
- Fixed 30-minute resolution
Details
Published by
cryptorife on GitHub
Type
Indicator, Pine Script v4
Draws
Separate pane below the chart
Category
Oscillators & momentum, Moving averages, Volatility & bands, Volume
Markets
Any symbol
Timeframes
M15-H1
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 |
|---|---|---|---|
| Slow Length | int | 120 | t1 |
| Fast Length | int | 60 | t2 |
| ATR Band Length | int | 240 | t3 |
| Deviation multiplier 1 | float | 1.50 | mult1 |
| Deviation multiplier 2 | float | 2.25 | mult2 |
| Deviation multiplier 3 | float | 3.00 | mult3 |
| Percentile Length | int | 60 | t4 |
| Hi is Above X% of Sample | int | 90 | pcntAbove |
| Lo is Below X% of Sample | int | 90 | pcntBelow |
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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