This indicator plots two Hull moving averages on the price chart, one of the selected price and one of close, and optionally smooths both with a Kahlman filter. It fills the space between them and marks buy and sell labels when they cross, provided scaled volu
Indicator · Pine Script v5 · On the chart
Anchored VWAP Pinch & Handoff, Intervals, and Signals
Calculates and plots Anchored VWAP curves on the price chart based on specific user-selected event timestamps or standard periodic intervals such as daily, weekly, and monthly levels.
Repaints
GitHub stars2on the repository
Pine versionv5runs as is
Lines of code331
Settings40inputs
LicenceNone statedfile: MPL-2.0
Last update8 months ago25 Feb 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 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
331 lines of Pine Script v5 from pinescript/editors_picks/anchored-vwap-pinch-handoff-intervals-and-signals.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/
// © allanster on TradingView
//@version=5
indicator("Anchored VWAP Pinch & Handoff, Intervals, and Signals", 'Price', overlay = true, max_lines_count = 500, max_labels_count = 500)
evnHi = timestamp("10 Nov 2021 00:00 +0000") // default event for AVWAP hi
evnLo = timestamp("21 Sep 2021 00:00 +0000") // default event for AVWAP lo
evnHO = timestamp("24 Jan 2022 00:00 +0000") // default event for AVWAP handoff
colHi = #ff00664d // default color for AVWAP event hi
colLo = #ff00ff4d // default color for AVWAP event lo
colHO = #9900ff4d // default color for AVWAP handoff
col1D = #0000ffb3 // default color for AVWAP daily
col2D = #00ffffb3 // default color for AVWAP previous daily
col1W = #00ff00b3 // default color for AVWAP weekly
col1M = #ffff00b3 // default color for AVWAP monthly
col3M = #ff6600b3 // default color for AVWAP quarterly
col1Y = #ff0000b3 // default color for AVWAP yearly
colrd = #1E56DAff // default color for AVWAP dividends
colre = #04806Bff // default color for AVWAP earnings #cc2f3cff
colrs = #fb8c00ff // default color for AVWAP splits
colah = #f23645ff // default color for AVWAP auto1
colal = #089981ff // default color for AVWAP auto2
toolD = "[Event Date] [Event Time]\nSet the desired Date & Time or drag the vertical anchor line to a significant Event on chart."
toolE = "[Source] [Zone Type] [Zone Width] [Color]\nSet the anchored VWAP's desired Source, Zone Type, Zone Width, and Color."
toolI = "[Source] [Interval] [Line Width] [Color]\nSet the periodic VWAP's desired Source, Interval, Line Width, and Color."
toolA = "[Signal] [Source] [Line Width] [Color]\nSet the automatic VWAP's desired Signal, Source, Line Width, and Color."
toolS = "[Length] [Bars Left] [Bars Right]\nSet the desired Length applicable for Highest, Lowest, Highest Volume " +
", and Lowest Volume. Set the desired number of Bars Left & Bars Right applicable for Pivot Hi or Pivot Lo."
// inputs pinch & handoff
dateH = input.time (evnHi, 'Event Hi', tooltip = toolD, confirm = false)
sho_H = input.bool (true, 'Show', inline = 'A')
src_H = input.source (hlc3, '', inline = 'A')
zon_H = input.string ('% Above', '', inline = 'A',
options = ['Off', '% Above', '% Below', '% Dual', 'StDev Above', 'StDev Below', 'StDev Dual'])
fct_H = input.float (3, '', minval = 0, step = 0.1, inline = 'A')
col_H = input.color (colHi, '', tooltip = toolE, inline = 'A')
dateL = input.time (evnLo, 'Event Lo', tooltip = toolD, confirm = false)
sho_L = input.bool (true, 'Show', inline = 'B')
src_L = input.source (hlc3, '', inline = 'B')
zon_L = input.string ('% Below', '', inline = 'B',
options = ['Off', '% Above', '% Below', '% Dual', 'StDev Above', 'StDev Below', 'StDev Dual'])
fct_L = input.float (3, '', minval = 0, step = 0.1, inline = 'B')
col_L = input.color (colLo, '', tooltip = toolE, inline = 'B')
dateC = input.time (evnHO, 'HandOff', tooltip = toolD, confirm = false)
sho_C = input.bool (true, 'Show', inline = 'C')
src_C = input.source (hlc3, '', inline = 'C')
zon_C = input.string ('% Below', '', inline = 'C',
options = ['Off', '% Above', '% Below', '% Dual', 'StDev Above', 'StDev Below', 'StDev Dual'])
fct_C = input.float (3, '', minval = 0, step = 0.1, inline = 'C')
col_C = input.color (colHO, '', tooltip = toolE, inline = 'C')
// inputs intervals
sho_D = input.bool (false, 'Show', inline = 'D', group = 'Intervals')
src_D = input.source (hlc3, '', inline = 'D', group = 'Intervals')
res_D = input.timeframe('D', '', inline = 'D', group = 'Intervals')
wid_D = input.int (2, '', minval = 0, inline = 'D', group = 'Intervals')
col_D = input.color (col1D, '', tooltip = toolI, inline = 'D', group = 'Intervals')
sho_P = input.bool (false, 'Show', inline = 'P', group = 'Intervals')
src_P = input.source (hlc3, '', inline = 'P', group = 'Intervals')
res_P = input.timeframe('2D', '', inline = 'P', group = 'Intervals')
wid_P = input.int (2, '', minval = 0, inline = 'P', group = 'Intervals')
col_P = input.color (col2D, '', tooltip = toolI, inline = 'P', group = 'Intervals')
sho_W = input.bool (false, 'Show', inline = 'W', group = 'Intervals')
src_W = input.source (hlc3, '', inline = 'W', group = 'Intervals')
res_W = input.timeframe('W', '', inline = 'W', group = 'Intervals')
wid_W = input.int (2, '', minval = 0, inline = 'W', group = 'Intervals')
col_W = input.color (col1W, '', tooltip = toolI, inline = 'W', group = 'Intervals')
sho_M = input.bool (false, 'Show', inline = 'M', group = 'Intervals')
src_M = input.source (hlc3, '', inline = 'M', group = 'Intervals')
res_M = input.timeframe('M', '', inline = 'M', group = 'Intervals')
wid_M = input.int (2, '', minval = 0, inline = 'M', group = 'Intervals')
col_M = input.color (col1M, '', tooltip = toolI, inline = 'M', group = 'Intervals')
sho_Q = input.bool (false, 'Show', inline = 'Q', group = 'Intervals')
src_Q = input.source (hlc3, '', inline = 'Q', group = 'Intervals')
res_Q = input.timeframe('3M', '', inline = 'Q', group = 'Intervals')
wid_Q = input.int (2, '', minval = 0, inline = 'Q', group = 'Intervals')
col_Q = input.color (col3M, '', tooltip = toolI, inline = 'Q', group = 'Intervals')
sho_Y = input.bool (false, 'Show', inline = 'Y', group = 'Intervals')
src_Y = input.source (hlc3, '', inline = 'Y', group = 'Intervals')
res_Y = input.timeframe('12M', '', inline = 'Y', group = 'Intervals')
wid_Y = input.int (2, '', minval = 0, inline = 'Y', group = 'Intervals')
col_Y = input.color (col1Y, '', tooltip = toolI, inline = 'Y', group = 'Intervals')
sho_d = input.bool (false, 'Show', inline = 'd', group = 'Intervals')
src_d = input.source (hlc3, '', inline = 'd', group = 'Intervals')
res_d = input.string ('Dividends', '', inline = 'd', group = 'Intervals',
options = ['Dividends'])
wid_d = input.int (2, '', minval = 0, inline = 'd', group = 'Intervals')
col_d = input.color (colrd, '', tooltip = toolI, inline = 'd', group = 'Intervals')
sho_e = input.bool (false, 'Show', inline = 'e', group = 'Intervals')
src_e = input.source (hlc3, '', inline = 'e', group = 'Intervals')
res_e = input.string ('Earnings', '', inline = 'e', group = 'Intervals',
options = ['Earnings'])
wid_e = input.int (2, '', minval = 0, inline = 'e', group = 'Intervals')
col_e = input.color (colre, '', tooltip = toolI, inline = 'e', group = 'Intervals')
shoEO = input.bool (true, 'Show Earnings Offset ', inline = 'E', group = 'Intervals')
adjEO = input.int (0, '', tooltip = '[Show Label] [Offset]', inline = 'E', group = 'Intervals')
sho_s = input.bool (false, 'Show', inline = 's', group = 'Intervals')
src_s = input.source (hlc3, '', inline = 's', group = 'Intervals')
res_s = input.string ('Splits', '', inline = 's', group = 'Intervals',
options = ['Splits'])
wid_s = input.int (2, '', minval = 0, inline = 's', group = 'Intervals')
col_s = input.color (colrs, '', tooltip = toolI, inline = 's', group = 'Intervals')
// inputs auto
shoAH = input.bool (false, 'Show', inline = 'H', group = 'Auto')
typAH = input.string ('Highest', '', tooltip = toolA, inline = 'H', group = 'Auto',
options = ['Highest', 'Lowest', 'Highest Volume', 'Lowest Volume', 'Pivot High', 'Pivot Low'])
srcAH = input.source (high, '', inline = 'H', group = 'Auto')
widAH = input.int (2, '', minval = 1, inline = 'H', group = 'Auto')
colAH = input.color (colah, '', inline = 'H', group = 'Auto')
lenAH = input.int (14, 'SignalBars', minval = 1, inline = 'h', group = 'Auto')
plbAH = input.int (2, '', minval = 0, inline = 'h', group = 'Auto')
prbAH = input.int (2, '', minval = 0, tooltip = toolS, inline = 'h', group = 'Auto')
shoAL = input.bool (false, 'Show', inline = 'L', group = 'Auto')
typAL = input.string ('Lowest', '', tooltip = toolA, inline = 'L', group = 'Auto',
options = ['Highest', 'Lowest', 'Highest Volume', 'Lowest Volume', 'Pivot High', 'Pivot Low'])
srcAL = input.source (low, '', inline = 'L', group = 'Auto')
widAL = input.int (2, '', minval = 1, inline = 'L', group = 'Auto')
colAL = input.color (colal, '', inline = 'L', group = 'Auto')
lenAL = input.int (14, 'SignalBars', minval = 1, inline = 'l', group = 'Auto')
plbAL = input.int (2, '', minval = 0, inline = 'l', group = 'Auto')
prbAL = input.int (2, '', minval = 0, tooltip = toolS, inline = 'l', group = 'Auto')
// returns event avwap tuples with upper/lower specified in percent or standard deviation
avwap(price, anchor, shift, factor) =>
begin = time == anchor
[avwap, stdvU, stdvL] = ta.vwap(price, begin, factor)
zoneA = float(na)
zoneB = float(na)
if shift == '% Above' or shift == '% Dual'
zoneA := ta.vwap((1 + factor / 100) * price, begin)
if shift == '% Below' or shift == '% Dual'
zoneB := ta.vwap((1 - factor / 100) * price, begin)
if shift == 'StDev Above' or shift == 'StDev Dual'
zoneA := stdvU
if shift == 'StDev Below' or shift == 'StDev Dual'
zoneB := stdvL
[avwap, zoneA, zoneB]
[vwapH, zonHA, zonHB] = avwap(src_H, dateH, zon_H, fct_H)
[vwapL, zonLA, zonLB] = avwap(src_L, dateL, zon_L, fct_L)
[vwapC, zonCA, zonCB] = avwap(src_C, dateC, zon_C, fct_C)
// plot event avwap tuples
pltHV = plot(sho_H ? vwapH : na, 'Hi VWAP Line', color.new(col_H, 0), 2)
pltHA = plot(sho_H ? zonHA : na, 'Hi VWAP Uppr', color.new(col_H, 100))
pltHB = plot(sho_H ? zonHB : na, 'Hi VWAP Lowr', color.new(col_H, 100))
fill(pltHV, pltHA, col_H)
fill(pltHV, pltHB, col_H)
pltLV = plot(sho_L ? vwapL : na, 'Lo VWAP Line', color.new(col_L, 0), 2)
pltLA = plot(sho_L ? zonLA : na, 'Lo VWAP Uppr', color.new(col_L, 100))
pltLB = plot(sho_L ? zonLB : na, 'Lo VWAP Lowr', color.new(col_L, 100))
fill(pltLV, pltLA, col_L)
fill(pltLV, pltLB, col_L)
pltCV = plot(sho_C ? vwapC : na, 'HO VWAP Line', color.new(col_C, 0), 2)
pltCA = plot(sho_C ? zonCA : na, 'HO VWAP Uppr', color.new(col_C, 100))
pltCB = plot(sho_C ? zonCB : na, 'HO VWAP Lowr', color.new(col_C, 100))
fill(pltCV, pltCA, col_C)
fill(pltCV, pltCB, col_C)
// returns intervals avwap
shoTF(res) => timeframe.in_seconds(timeframe.period) < timeframe.in_seconds(res)
vwapD = sho_D and shoTF(res_D) ? ta.vwap(src_D, timeframe.change(res_D)) : float(na)
vwapP = sho_P and shoTF(res_P) ? ta.vwap(src_P, timeframe.change(res_P)) : float(na)
vwapW = sho_W and shoTF(res_W) ? ta.vwap(src_W, timeframe.change(res_W)) : float(na)
vwapM = sho_M and shoTF(res_M) ? ta.vwap(src_M, timeframe.change(res_M)) : float(na)
vwapQ = sho_Q and shoTF(res_Q) ? ta.vwap(src_Q, timeframe.change(res_Q)) : float(na)
vwapY = sho_Y and shoTF(res_Y) ? ta.vwap(src_Y, timeframe.change(res_Y)) : float(na)
f_des(_type) => // returns true when _type event occurs
tkrID =
_type == 'Dividends' ? __dividends_tickerid(syminfo.tickerid) :
_type == 'Earnings' ? __earnings_tickerid(syminfo.tickerid) :
_type == 'Splits' ? __splits_tickerid(syminfo.tickerid) :
string(na)
exprn =
_type == 'Dividends' or _type == 'Splits' ? high :
_type == 'Earnings' ? time :
float(na)
event = request.security(tkrID, 'D', exprn, lookahead = barmerge.lookahead_on, ignore_invalid_symbol = true)
shift = _type == 'Earnings' and adjEO != 0 ? adjEO * timeframe.in_seconds(timeframe.period) * 1000 : 0
renew =
_type == 'Dividends' or _type == 'Splits' ? event != event[1] :
_type == 'Earnings' ? time_close[1] <= event + shift and event + shift < time_close :
bool(na)
if _type == 'Earnings' and shoEO and renew
label.new(bar_index, low, 'E', xloc.bar_index, yloc.belowbar, #3f3f3f, textcolor = #ffffff)
renew
vwapd = sho_d ? ta.vwap(src_d, f_des('Dividends')) : float(na)
vwape = sho_e ? ta.vwap(src_e, f_des('Earnings')) : float(na)
vwaps = sho_s ? ta.vwap(src_s, f_des('Splits')) : float(na)
// plot interval avwap
plt1D = plot(vwapD, 'DTD VWAP Line', col_D, wid_D)
plt2D = plot(vwapP, 'PTD VWAP Line', col_P, wid_P)
plt1W = plot(vwapW, 'WTD VWAP Line', col_W, wid_W)
plt1M = plot(vwapM, 'MTD VWAP Line', col_M, wid_M)
plt3M = plot(vwapQ, 'QTD VWAP Line', col_Q, wid_Q)
plt1Y = plot(vwapY, 'YTD VWAP Line', col_Y, wid_Y)
plt_d = plot(vwapd, 'DVD VWAP Line', col_d, wid_d)
plt_e = plot(vwape, 'ERN VWAP Line', col_e, wid_e)
plt_s = plot(vwaps, 'SPL VWAP Line', col_s, wid_s)
// returns auto vwaps from signals within lengths of bars or pivots
svwap(
show1, source1, signal1, length1, barsL1, barsR1, color1, width1,
show2, source2, signal2, length2, barsL2, barsR2, color2, width2) =>
idxCB = bar_index // index current bar
valS1 = float(na) // value signal source1
idxS1 = int(na) // index signal source1
sS1V1 = float(na) // sum of source1 * volume1
sVol1 = float(na) // sum of volume1
valP1 = float(na) // previous value of svwap1
valC1 = float(na) // current value of svwap1
valS2 = float(na) // value signal source2
idxS2 = int(na) // index signal source2
sS2V2 = float(na) // sum of source2 * volume2
sVol2 = float(na) // sum of volume2
valP2 = float(na) // previous value of svwap2
valC2 = float(na) // current value of svwap2
lines = line(na) // lines drawn for each bar of avwap
if not show1 and not show2
valC1 := float(na)
valC2 := float(na)
else
a_allLines = line.all // garbage collection
if array.size(a_allLines) > 0
for i = 0 to array.size(a_allLines) - 1
line.delete(array.get(a_allLines, i))
if show1 // calc auto vwap1
valS1 :=
signal1 == 'Highest' ? ta.highest(source1, length1) :
signal1 == 'Lowest' ? ta.lowest (source1, length1) :
signal1 == 'Highest Volume' ? ta.highest(volume, length1) :
signal1 == 'Lowest Volume' ? ta.lowest (volume, length1) :
signal1 == 'Pivot High' ?
ta.valuewhen(not na(ta.pivothigh(source1, barsL1, barsR1)), source1[barsR1], 0) :
signal1 == 'Pivot Low' ?
ta.valuewhen(not na(ta.pivotlow (source1, barsL1, barsR1)), source1[barsR1], 0) :
float(na)
if signal1 == 'Highest' or signal1 == 'Lowest'
for i = 0 to length1 - 1
if source1[i] == valS1
idxS1 := bar_index[i]
break
if signal1 == 'Highest Volume' or signal1 == 'Lowest Volume'
for i = 0 to length1 - 1
if volume[i] == valS1
idxS1 := bar_index[i]
break
if signal1 == 'Pivot High' or signal1 == 'Pivot Low'
idxS1 :=
signal1 == 'Pivot High' ?
ta.valuewhen(not na(ta.pivothigh(source1, barsL1, barsR1)), bar_index[barsR1], 0) :
signal1 == 'Pivot Low' ?
ta.valuewhen(not na(ta.pivotlow (source1, barsL1, barsR1)), bar_index[barsR1], 0) :
int(na)
nBars = 1 + idxCB - idxS1
for i = nBars - 1 to 0 // draw lines for current event vwap
sS1V1 := nz(sS1V1) + nz(source1[i] * volume[i])
sVol1 := nz(sVol1) + nz(volume[i])
valP1 := nz(valC1, na)
valC1 := sS1V1 / sVol1
lines := line.new(idxCB - i - 1, valP1, idxCB - i, valC1, xloc.bar_index, extend.none, color1, width = width1)
if show2 // calc auto vwap2
valS2 :=
signal2 == 'Highest' ? ta.highest(source2, length2) :
signal2 == 'Lowest' ? ta.lowest (source2, length2) :
signal2 == 'Highest Volume' ? ta.highest(volume, length2) :
signal2 == 'Lowest Volume' ? ta.lowest (volume, length2) :
signal2 == 'Pivot High' ?
ta.valuewhen(not na(ta.pivothigh(source2, barsL2, barsR2)), source1[barsR2], 0) :
signal2 == 'Pivot Low' ?
ta.valuewhen(not na(ta.pivotlow (source2, barsL2, barsR2)), source1[barsR2], 0) :
float(na)
if signal2 == 'Highest' or signal2 == 'Lowest'
for i = 0 to length2 - 1
if source2[i] == valS2
idxS2 := bar_index[i]
break
if signal2 == 'Highest Volume' or signal2 == 'Lowest Volume'
for i = 0 to length2 - 1
if volume[i] == valS2
idxS2 := bar_index[i]
break
if signal2 == 'Pivot High' or signal2 == 'Pivot Low'
idxS2 :=
signal2 == 'Pivot High' ?
ta.valuewhen(not na(ta.pivothigh(source2, barsL2, barsR2)), bar_index[barsR2], 0) :
signal2 == 'Pivot Low' ?
ta.valuewhen(not na(ta.pivotlow (source2, barsL2, barsR2)), bar_index[barsR2], 0) :
int(na)
nBars = 1 + idxCB - idxS2
for i = nBars - 1 to 0 // draw lines for current event vwap
sS2V2 := nz(sS2V2) + nz(source2[i] * volume[i])
sVol2 := nz(sVol2) + nz(volume[i])
valP2 := nz(valC2, na)
valC2 := sS2V2 / sVol2
lines := line.new(idxCB - i - 1, valP2, idxCB - i, valC2, xloc.bar_index, extend.none, color2, width = width2)
[valC1, valC2]
[vwap1, vwap2] = svwap(
shoAH, srcAH, typAH, lenAH, plbAH, prbAH, colAH, widAH,
shoAL, srcAL, typAL, lenAL, plbAL, prbAL, colAL, widAL)
plot(vwap1, 'Auto1 VWAP Line', display = display.data_window)
plot(vwap2, 'Auto2 VWAP Line', display = display.data_window)
Overview
Anchored VWAP Pinch & Handoff, Intervals, and Signals features customizable bands around the VWAP lines, configurable using percentage or standard deviation offsets. The indicator also supports automated anchoring driven by corporate events like earnings, dividends, and splits. Note that higher timeframe data queries in the script utilize lookahead.
- Event-anchored VWAP calculations
- Percentage and standard deviation offset bands
- Multi-timeframe periodic VWAP intervals
- Automated anchoring for earnings, dividends, and splits
Details
Published by
regalouisei on GitHub
Code credit
allanster on TradingView, as written in the script's header
Type
Indicator, Pine Script v5
Draws
On the price chart
Category
Volume, Support & resistance, Trend
Markets
Any symbol
Timeframes
Any timeframe
Risk Notes
- Reads higher-timeframe data with lookahead on, so the history can show signals that were not there in real time
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Event Hi | time | evnHi | dateH |
| Show | bool | true | sho_H |
| src_H | source | hlc3 | src_H |
| zon_H | string | % Above | zon_H |
| fct_H | float | 3 | fct_H |
| col_H | color | colHi | col_H |
| Event Lo | time | evnLo | dateL |
| Show | bool | true | sho_L |
| src_L | source | hlc3 | src_L |
| zon_L | string | % Below | zon_L |
| fct_L | float | 3 | fct_L |
| col_L | color | colLo | col_L |
Show all 40 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| HandOff | time | evnHO | dateC |
| Show | bool | true | sho_C |
| src_C | source | hlc3 | src_C |
| zon_C | string | % Below | zon_C |
| fct_C | float | 3 | fct_C |
| col_C | color | colHO | col_C |
| Show | bool | false | sho_D |
| src_D | source | hlc3 | src_D |
| res_D | timeframe | D | res_D |
| wid_D | int | 2 | wid_D |
| col_D | color | col1D | col_D |
| Show | bool | false | sho_P |
| src_P | source | hlc3 | src_P |
| res_P | timeframe | 2D | res_P |
| wid_P | int | 2 | wid_P |
| col_P | color | col2D | col_P |
| Show | bool | false | sho_W |
| src_W | source | hlc3 | src_W |
| res_W | timeframe | W | res_W |
| wid_W | int | 2 | wid_W |
| col_W | color | col1W | col_W |
| Show | bool | false | sho_M |
| src_M | source | hlc3 | src_M |
| res_M | timeframe | M | res_M |
| wid_M | int | 2 | wid_M |
| col_M | color | col1M | col_M |
| Show | bool | false | sho_Q |
| src_Q | source | hlc3 | src_Q |
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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This indicator plots a fixed lookback Volume Profile alongside 20, 50, and 200 Simple Moving Averages directly on the price chart. It highlights trend changes via moving average crosses and marks Point of Control reactions, High Volume Nodes, and Value Area bo
This indicator overlays multiple technical analysis tools onto the main price chart to establish multi-filter trend confluence. It calculates dual anchored VWAPs, dual Supertrend indicators, moving averages, Kijun-sen Donchian midlines, and weekly pivot points
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