GpPa Fixed Range VWAP & Standard DeviationsGpPa Fixed Range VWAP & Standard Deviations
Este indicador permite analizar un rango de tiempo específico calculando el VWAP (Precio Promedio Ponderado por Volumen) junto con sus niveles de desviación estándar. Utilizando el precio HLC3 y el volumen, el script determina el VWAP del período seleccionado y traza niveles de volatilidad a 0.5, 1.0, 1.5 y 2.0 desviaciones estándar por encima y por debajo del VWAP. Además, se marcan visualmente el inicio y el fin del rango mediante líneas verticales, facilitando la identificación de zonas de soporte, resistencia y posibles puntos de reversión en función de la volatilidad del precio.
Personaliza fácilmente el rango de análisis y los colores del VWAP, los niveles de desviación y las líneas, adaptándolo a tus necesidades de trading.
Indicators and strategies
4Hour Zone SeparatorThis custom TradingView indicator draws vertical lines on your chart to visually separate the 4-hour trading zones within a single trading day. The indicator helps traders identify key time intervals throughout the day for better market analysis and decision-making.
Features:
• Time-Based Zones: The indicator divides the day into six distinct 4-hour periods, starting from midnight (00:00) and continuing every 4 hours. Each zone is marked by a vertical line on the chart.
• User Customization: You can toggle the visibility of the lines for each 4-hour period (00:00, 04:00, 08:00, 12:00, 16:00, 20:00) based on your preference. This allows you to focus on specific zones that matter most for your analysis.
• Line Styling Options: Choose from three different line styles — Solid, Dashed, or Dotted — and adjust the thickness to your desired preference.
• Dynamic Time Adjustment: The indicator automatically adjusts for the time zone, ensuring that the 00:00 timestamp reflects the correct start of the day based on your chart’s time zone.
How It Works:
1. The indicator starts by calculating the beginning of the day at 00:00, then it sequentially places vertical lines every 4 hours.
2. Each line is color-coded for easy identification, and the lines stretch from the highest to the lowest point on the chart for that range.
3. The lines are drawn only when the chart enters a new 4-hour zone.
This tool is especially useful for day traders who want to track price action during specific times of the day and make informed decisions based on market behavior within each 4-hour period.
Adaptive Resonance Oscillator [AlgoAlpha]Introducing the Adaptive Resonance Oscillator , an advanced momentum-based oscillator designed to dynamically adjust to changing market conditions. This innovative indicator detects market frequency through a Hilbert Transform approach, adapting in real-time to identify overbought and oversold conditions with improved accuracy. With built-in divergence detection, trend analysis, and customizable smoothing, this tool is perfect for traders looking to refine their entries and exits based on adaptive oscillation mechanics.
🚀 Key Features :
🔹 Adaptive Frequency Detection – Uses Hilbert Transform principles to dynamically determine market cycle length for precise oscillator calculation.
⚙️ Customizable Smoothing – Option to apply a Hull Moving Average (HMA) for enhanced signal clarity.
📈 Divergence Detection – Identifies bullish and bearish divergences with visual markers, helping traders spot early trend reversals.
🟢 Overbought & Oversold Signals – Highlights extreme momentum conditions with adjustable thresholds.
🔔 Real-Time Alerts – Get notified for crossovers, divergences, and strong trend shifts directly on your TradingView chart.
🎨 Fully Customizable Appearance – Modify colors, divergence sensitivity, and smoothing options to fit your trading style.
🛠 How to Use :
Add the Adaptive Resonance Oscillator to your TradingView chart by clicking the ★ to favorite it.
Monitor the Charts , switch between smoothed and I smoothed modes to identify trend and price swings, use divergences and reversal signals for potential entry/exits.
Set alerts for bullish/bearish crossovers and divergence signals to stay ahead of market moves.
⚙ How It Works :
The indicator begins by applying a Hilbert Transform frequency estimation to the price series, identifying the dominant market cycle length. This is used to calculate a period for the RSI that matches its resonant frequency with the dominant market frequency, dynamically adjusting the Oscillator. The oscillator then applies an optional Hull Moving Average (HMA) smoothing for signal refinement. Additionally, the indicator scans for bullish and bearish divergences by comparing oscillator movements against price action, plotting signals accordingly. When overbought/oversold conditions or divergence events occur, alerts are triggered to notify the trader in real time.
Bullish Breakout Confirmation ProtovestBreakout Detection:
A candle closes above the defined breakout level.
The next candle must close above the high of the breakout candle without closing back below the breakout level.
Liquidity crypt
//@version=5
indicator(" 💧TFO_LVL_OI_LIQ 💧 ", " 💧TFO_LVL_OI_LIQ 💧", true, max_bars_back=5000, max_lines_count = 500, max_polylines_count = 100, max_labels_count = 500, max_boxes_count = 500)
string userSymbol = 'BINANCE' + ":" + string(syminfo.basecurrency) + 'USDT.P'
string Formula = str.format("{0}_OI", userSymbol)
OI = request.security(Formula, timeframe.period, close)
OI_delta = OI - nz(OI )
maLength = input(60, title="MA Length")
numOfLines = 500
OI_delta_MA = ta.sma(OI_delta, maLength)
OI_delta_abs = math.abs(OI_delta)
OI_delta_abs_MA = ta.sma(OI_delta_abs, maLength)
h3 = input(3.0, title="Large Liquidation Level")
h2 = input(2.0, title="Middle Liquidation Level")
h1 = input(1.2, title="Small Liquidation Level")
OI_delta_open_h3 = (OI_delta_abs >= OI_delta_abs_MA * h3) and OI_delta > 0
OI_delta_open_h2 = (OI_delta_abs >= OI_delta_abs_MA * h2 and OI_delta_abs < OI_delta_abs_MA * h3) and OI_delta > 0
OI_delta_open_h1 = (OI_delta_abs >= OI_delta_abs_MA * h1 and OI_delta_abs < OI_delta_abs_MA * h2) and OI_delta > 0
kline_price = (open + close + high + low) / 4
showLine = input(true, title="Show lines")
showHist = input(true, title="Show histgram")
showLocalOnly = input(true, title="Only show local liquidation levels")
i_5xColor = input.color(#626367a2, '5x Leverage color', group='5x Leverage')
i_10xColor = input.color(#017cff7a, '10x Leverage color', group='10x Leverage')
i_25xColor = input.color(#0dff0064, '25x Leverage color', group='25x Leverage')
i_50xColor = input.color(#f0a02966, '50x Leverage color', group='50x Leverage')
i_100xColor = input.color(color.rgb(218, 55, 101, 44), '100x Leverage color', group='100x Leverage')
var h3Array = array.new_line()
var h2Array = array.new_line()
var h1Array = array.new_line()
// histgram
barColor = input(color.rgb(0, 55, 254, 4), "Bar Color")
numOfBars = input(120, 'Number of bars to lookback')
distLastCandle = input(5, 'Histgram distance from last candle')
local_high = ta.highest(high, numOfBars)
local_low = ta.lowest(low, numOfBars)
rangeHigh = local_high * (1 + local_high / local_low / 10)
rangeLow = local_low * (1 - local_high / local_low / 10)
rangeHeight = rangeHigh - rangeLow
numOfHistograms = input(120, 'Number of histograms (<=120)')
histogramHeight = rangeHeight / numOfHistograms
histogramLowList = array.new_float(numOfHistograms, na)
histogramHighList = array.new_float(numOfHistograms, na)
histogramData = array.new_float()
histogramtargetList = array.new_float(numOfHistograms, 0.0)
var Bars = array.new_box(numOfHistograms, na)
// Clean up drawings every tick
for i=0 to numOfHistograms - 1
box.delete(array.get(Bars, i))
f_drawLine(_x1, _x2, _yValue, _lineColor, _style, _width) =>
line.new(x1=_x1, y1=_yValue, x2=_x2, y2=_yValue, color=_lineColor, style=_style, width=_width)
f_extendArray(_lineArray, _extendLines) =>
if array.size(_lineArray) > 0
for _i = array.size(_lineArray) - 1 to 0 by 1
x2 = line.get_x2(array.get(_lineArray, _i))
yValue = line.get_y1(array.get(_lineArray, _i))
if _extendLines or bar_index - 1 == x2 - 1 and not(high > yValue and low < yValue)
line.set_x2(array.get(_lineArray, _i), bar_index + 1)
if bar_index == last_bar_index
array.push(histogramData, yValue)
f_calculateLeverage100x(_pivotValue, _shortSell) =>
_shortSell ? _pivotValue * (1 - 0.01) : _pivotValue * (1 + 0.01)
f_calculateLeverage50x( _pivotValue, _shortSell) =>
_shortSell ? _pivotValue * (1 - 0.02) : _pivotValue * (1 + 0.02)
f_calculateLeverage25x(_pivotValue, _shortSell) =>
_shortSell ? _pivotValue * (1 - 0.04) : _pivotValue * (1 + 0.04)
f_calculateLeverage10x(_pivotValue, _shortSell) =>
_shortSell ? _pivotValue * (1 - 0.1) : _pivotValue * (1 + 0.1)
f_calculateLeverage5x(_pivotValue, _shortSell) =>
_shortSell ? _pivotValue * (1 - 0.2) : _pivotValue * (1 + 0.2)
float yValue = na
int x1 = na
int x2 = na
line l = na
x1 := bar_index
x2 := bar_index
f_append(Array, l) =>
if array.size(Array) == numOfLines
line.delete(array.shift(Array))
array.push(Array, l)
if OI_delta_open_h3
yValue := f_calculateLeverage5x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_5xColor, line.style_solid, 1)
f_append(h3Array, l)
yValue := f_calculateLeverage5x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_5xColor, line.style_solid, 1)
f_append(h3Array, l)
yValue := f_calculateLeverage10x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_10xColor, line.style_solid, 1)
f_append(h3Array, l)
yValue := f_calculateLeverage10x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_10xColor, line.style_solid, 1)
f_append(h3Array, l)
yValue := f_calculateLeverage25x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_solid, 1)
f_append(h3Array, l)
yValue := f_calculateLeverage25x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_solid, 1)
f_append(h3Array, l)
yValue := f_calculateLeverage50x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_solid, 1)
f_append(h3Array, l)
yValue := f_calculateLeverage50x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_solid, 1)
f_append(h3Array, l)
yValue := f_calculateLeverage100x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_solid, 1)
f_append(h3Array, l)
yValue := f_calculateLeverage100x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_solid, 1)
f_append(h3Array, l)
if OI_delta_open_h2
yValue := f_calculateLeverage10x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_10xColor, line.style_solid, 1)
f_append(h2Array, l)
yValue := f_calculateLeverage10x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_10xColor, line.style_solid, 1)
f_append(h2Array, l)
yValue := f_calculateLeverage25x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_solid, 1)
f_append(h2Array, l)
yValue := f_calculateLeverage25x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_solid, 1)
f_append(h2Array, l)
yValue := f_calculateLeverage50x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_solid, 1)
f_append(h2Array, l)
yValue := f_calculateLeverage50x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_solid, 1)
f_append(h2Array, l)
yValue := f_calculateLeverage100x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_solid, 1)
f_append(h2Array, l)
yValue := f_calculateLeverage100x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_solid, 1)
f_append(h2Array, l)
if OI_delta_open_h1
yValue := f_calculateLeverage25x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_dotted, 1)
f_append(h1Array, l)
yValue := f_calculateLeverage25x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_25xColor, line.style_dotted, 1)
f_append(h1Array, l)
yValue := f_calculateLeverage50x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_dotted, 1)
f_append(h1Array, l)
yValue := f_calculateLeverage50x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_50xColor, line.style_dotted, 1)
f_append(h1Array, l)
yValue := f_calculateLeverage100x(kline_price, true)
l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_dotted, 1)
f_append(h1Array, l)
yValue := f_calculateLeverage100x(kline_price, false)
l := f_drawLine(x1, x2, yValue, i_100xColor, line.style_dotted, 1)
f_append(h1Array, l)
f_extendArray(h3Array, false)
f_extendArray(h2Array, false)
f_extendArray(h1Array, false)
// draw hist
if barstate.islast and showHist
// Define lows and highs of the histograms
for i = 0 to numOfHistograms - 1
histogramLow = rangeLow + histogramHeight * i
histogramHigh = rangeLow + histogramHeight * (i + 1)
array.set(histogramLowList, i, histogramLow)
array.set(histogramHighList, i, histogramHigh)
for i = 0 to array.size(histogramData) - 1
y = array.get(histogramData, i)
for j = 0 to numOfHistograms - 1
histogramLow = array.get(histogramLowList, j)
histogramHigh = array.get(histogramHighList, j)
if y >= histogramLow and y <= histogramHigh
array.set(histogramtargetList, j, array.get(histogramtargetList, j) + 1)
for i = 0 to numOfHistograms - 1
histogramLow = array.get(histogramLowList, i)
histogramHigh = array.get(histogramHighList, i)
histogramtarget = array.get(histogramtargetList, i)
histogramWidth = math.floor((histogramtarget + 0.49) * 2)
// Draw histograms
array.set(Bars, i, box.new(left=bar_index + distLastCandle, top=histogramHigh, right=bar_index + distLastCandle + histogramWidth, bottom=histogramLow, bgcolor=barColor, border_color=barColor))
if barstate.islast and not showLine
for i=0 to array.size(h3Array) - 1
line.delete(array.get(h3Array, i))
for i=0 to array.size(h2Array) - 1
line.delete(array.get(h2Array, i))
for i=0 to array.size(h1Array) - 1
line.delete(array.get(h1Array, i))
else if barstate.islast and showLocalOnly
for i=0 to array.size(h3Array) - 1
if line.get_y1(array.get(h3Array, i)) < rangeLow or line.get_y1(array.get(h3Array, i)) > rangeHigh
line.delete(array.get(h3Array, i))
for i=0 to array.size(h2Array) - 1
if line.get_y1(array.get(h2Array, i)) < rangeLow or line.get_y1(array.get(h2Array, i)) > rangeHigh
line.delete(array.get(h2Array, i))
for i=0 to array.size(h1Array) - 1
if line.get_y1(array.get(h1Array, i)) < rangeLow or line.get_y1(array.get(h1Array, i)) > rangeHigh
line.delete(array.get(h1Array, i))
// Volume Profile Inputs
var g_VP = "Volume Profile"
rows = input.int(200, "Rows", tooltip = "The number of price levels/rows that will be used to approximate the cumulative volume profile", group = g_VP)
tf = input.timeframe("D", "Profile Timeframe", tooltip = "The aggregate timeframe that the volume profile represents", group = g_VP)
ltf = input.timeframe("1", "Resolution Timeframe", tooltip = "The timeframe whose price data will be used to build the volume profile", group = g_VP)
extend = input.int(100, "Profile Extend %", 0, 100, tooltip = "How much the volume profile should extend to the next session", group = g_VP)
vp_color = input.color(color.new(color.blue, 70), "Profile Color", tooltip = "The color of the volume profile", group = g_VP)
// Volume Point of Control Inputs
var g_VPOC = "Volume Point of Control"
show_vpoc = input.bool(true, "Show VPOC", inline = "VPOC", tooltip = "Whether to show the volume point of control (VPOC), or the level with the largest volume in a given volume profile", group = g_VPOC)
vpoc_color = input.color(color.yellow, "", inline = "VPOC", group = g_VPOC)
ext_vpoc = input.bool(true, "Extend Last N VPOCs", inline = "EXT", tooltip = "Whether to extend the last N number of VPOCs to the right of the chart", group = g_VPOC)
ext_n_vpoc = input.int(5, "", 0, 100, inline = "EXT", group = g_VPOC)
vpoc_label_above = input.timeframe("D", "Show Labels Above", tooltip = "With extend last N VPOCs turned on, labels displaying the date of said VPOCs will be shown when the profile timeframe is greater than or equal to this", group = g_VPOC)
vpoc_label_size = input.string('Normal', "Label Size", options = , tooltip = "The size of VPOC date labels", group = g_VPOC)
vpoc_width = input.int(2, "Line Width", tooltip = "The width of VPOC lines", group = g_VPOC)
// High Volume Nodes Inputs
var g_HVN = "High Volume Nodes"
show_hvn = input.bool(true, "Show Previous HVNs", inline = "HVN", tooltip = "Whether to show high volume nodes (HVNs) from the previous session. Using the previous session's close, HVNs above this price will use the first color, and HVNs below this price will use the second color", group = g_HVN)
hvn_color_bull = input.color(color.new(color.teal, 70), "", inline = "HVN", group = g_HVN)
hvn_color_bear = input.color(color.new(color.red, 70), "", inline = "HVN", group = g_HVN)
hvn_strength = input.int(10, "HVN Strength", tooltip = "HVNs are validated when a given level in the volume profile contains more volume than this many rows both above and below it", group = g_HVN)
hvn_type = input.string("Areas", "HVN Type", options = , tooltip = "Whether to display HVNs as levels (lines) or areas (boxes). Levels use a solid line to denote the prior session's VPOC, and dotted lines for all other HVNs", group = g_HVN)
hvn_width = input.int(1, "Line Width", tooltip = "The width of HVN lines, if the HVN type is selected as levels", group = g_HVN)
// Bubbles AcadAlgo Inputs
showBubbles = input.bool(true, "Display Bubbles", group="Bubbles", inline="1")
useHeatMap = input.bool(false, "Enable HeatMap", group="Bubbles")
showLevels = input.bool(false, "Highlight Significant Levels", group="Volume Levels")
levelsCount = input.int(10, "Number of Levels", group="Volume Levels")
mainColor = input.color(color.green, "Main Color", group="Colors")
heatMapColor1 = input.color(color.new(color.aqua, 50), "HeatMap Color 1", group="Colors")
heatMapColor2 = input.color(color.new(color.green, 50), "HeatMap Color 2", group="Colors")
heatMapColor3 = input.color(color.new(color.yellow, 50), "HeatMap Color 3", group="Colors")
heatMapColor4 = input.color(color.new(color.orange, 30), "HeatMap Color 4", group="Colors")
heatMapColor5 = input.color(#d32626, "HeatMap Color 5", group="Colors")
calculateInDollars = input.bool(false, "Calculate Volume in Dollars", group="Volume Options")
volumeFilterOn = input.bool(true, "Enable Volume Filter", group="Volume Filters") // Toggle button for volume filter
minVolumeDollars = input.float(100, "Minimum Volume ($)", minval=1, group="Volume Filters")
maxVolumeDollars = input.float(1000000000000, "Maximum Volume ($)", minval=1, group="Volume Filters")
// SPL Level Inputs
swingSizeR = input.int(10, 'Bars Right-Left', inline='brl')
swingSizeL = input.int(15, '-', inline='brl')
showBoxes = input.bool(true, 'Show Boxes ', inline='aa')
showSwingLines = input.bool(true, 'Show Lines', inline='aa')
showBubblesSPL = input.bool(true, 'Show Labels ', inline='bb')
showVol = input.bool(false, 'Show Volume', inline='bb')
showOId = input.bool(false, 'Show OI Δ ', inline='cc')
extendtilfilled = input.bool(true, 'Extend Until Fill', inline='cc')
hidefilled = input.bool(false, 'Hide Filled', group='Conditions')
voltresh = input.int(0, 'Volume >', group='Conditions')
oitresh = input.int(0, 'OI Δ (abs.) >', group='Conditions')
pnoid = input.string('/', 'Only Swings With', options= , group='Conditions')
showhighs = input.bool(true, '', inline='sh', group='Appearance')
showlows = input.bool(true, '', inline='sl', group='Appearance')
sellcol = input.color(#aa2430, 'Lows (Line - Label - Box)', inline='sh', group='Appearance')
buycol = input.color(#66bb6a, 'Highs (Line - Label - Box)', inline='sl', group='Appearance')
sellcolB = input.color(#aa2430, '', inline='sh', group='Appearance')
buycolB = input.color(#66bb6a, '', inline='sl', group='Appearance')
sellboxCol = input.color(#80192231, '', inline='sh', group='Appearance')
buyboxCol = input.color(#66bb6a31, '', inline='sl', group='Appearance')
lineStyle = input.string('Dotted', 'Line Style + Width', , inline='l', group='Appearance')
lineWid = input.int(1, '', inline='l', group='Appearance')
boxWid = input.float(0.7, 'Box Width + Type ', step=0.1, inline='xx', group='Appearance')
boxStyle = input.string('TYPE 1', '', options= , inline='xx', group='Appearance')
labelsize = input.string('Size: Tiny', 'Text Style ', options= , inline='txt', group='Appearance' )
texthalign = input.string('Right','', options= , inline='txt', group='Appearance')
lookback = input.bool(false, '', inline='lb')
daysBack = input.float(150, 'Lookback (D) ',inline='lb')
binance = input.bool(true, 'Binance USDT.P', inline='src', group='Open Interest')
binance2 = input.bool(true, 'Binance USD.P', inline='src', group='Open Interest')
binance3 = input.bool(true, 'Binance BUSD.P', inline='src2', group='Open Interest')
bitmex = input.bool(true, 'BitMEX USD.P', inline='src2', group='Open Interest')
bitmex2 = input.bool(true, 'BitMEX USDT.P ', inline='src3', group='Open Interest')
kraken = input.bool(true, 'Kraken USD.P', inline='src3', group='Open Interest')
// Calculating inRange, used for lookback in days
MSPD = 24 * 60 * 60 * 1000
lastBarDate = timestamp(year(timenow), month(timenow), dayofmonth(timenow), hour(timenow), minute(timenow), second(timenow))
thisBarDate = timestamp(year, month, dayofmonth, hour, minute, second)
daysLeft = math.abs(math.floor((lastBarDate - thisBarDate) / MSPD))
inRange = lookback ? (daysLeft < daysBack) : true
// Volume Profile Variables
var vpoc = array.new_line()
var dates = array.new_label()
var values = array.new_float()
var x_vol = array.new_int()
var y_vol = array.new_float()
var hvn_lines = array.new_line()
var hvn_boxes = array.new_box()
var hvn_Ly = array.new_float()
var hvn_By = array.new_float()
var PLA = array.new()
var polyline PL = na
var line temp_vpoc = na
var int lb_idx = na
var int lb_time = na
// SPL Level Variables
int prevHighIndex= na, int prevLowIndex= na, bool highActive= false, bool lowActive= false, bool h= false, bool lv= false
pivHi = ta.pivothigh(high, swingSizeL, swingSizeR)
pivLo = ta.pivotlow(low, swingSizeL, swingSizeR)
if not na(pivHi)
h := true
prevHighIndex := bar_index - swingSizeR
if not na(pivLo)
lv := true
prevLowIndex := bar_index - swingSizeR
// Getting OI data
mex = syminfo.basecurrency == 'BTC' ? 'XBT' : string(syminfo.basecurrency)
oid1 = nz(request.security('BINANCE:' + string(syminfo.basecurrency) + 'USDT.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0)
oid2 = nz(request.security('BINANCE:' + string(syminfo.basecurrency) + 'USD.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0)
oid3 = nz(request.security('BINANCE:' + string(syminfo.basecurrency) + 'BUSD.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0)
oid4 = nz(request.security('BITMEX:' + mex + 'USD.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0)
oid5 = nz(request.security('BITMEX:' + mex + 'USDT.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0)
oid6 = nz(request.security('KRAKEN:' + string(syminfo.basecurrency) + 'USD.P_OI', timeframe.period, close - close , ignore_invalid_symbol=true), 0)
deltaOI = (binance ? nz(oid1, 0) : 0) + (binance2 ? nz(oid2, 0) / close : 0) + (binance3 ? nz(oid3, 0) : 0) + (bitmex ? nz(oid4, 0) / close : 0) + (bitmex2 ? nz(oid5, 0) / close : 0) + (kraken ? nz(oid6, 0) / close : 0)
// Volume, OI, box width
vol = volume
oitreshcond = oitresh > 0 ? math.abs(deltaOI ) > oitresh : true
voltreshcond = voltresh > 0 ? vol > voltresh : true
oicond = pnoid == 'Positive OI Delta' ? deltaOI > 0 : pnoid == 'Negative OI Delta' ? deltaOI < 0 : true
CLEAR = color.rgb(0, 0, 0, 100)
boxWid1 = 0.001 * boxWid
// Styles
boxStyle(x) =>
switch x
'TYPE 1' => h ? pivHi : lv ? pivLo : na
'TYPE 2' => h ? pivHi * (1 - boxWid1) : lv ? pivLo * (1 + boxWid1) : na
lineStyle(x) =>
switch x
'Solid' => line.style_solid
'Dashed' => line.style_dashed
'Dotted' => line.style_dotted
switchtextsize(textsize) =>
switch textsize
'Size: Normal' => size.normal
'Size: Small' => size.small
'Size: Tiny' => size.tiny
'Size: Auto' => size.auto
'Size: Large' => size.large
switchhalign(texthalign) =>
switch texthalign
'Middle' => text.align_center
'Right' => text.align_right
'Left' => text.align_left
// Swing level labels
var levelBoxes = array.new_box()
var levelLines = array.new_line()
if h and inRange and showhighs and oitreshcond and voltreshcond and oicond
hBox = box.new(prevHighIndex, pivHi * (1 + boxWid1), bar_index, boxStyle(boxStyle), border_color=na, bgcolor=showBoxes ? sellboxCol : CLEAR, text=(showVol ? str.tostring(vol, format.volume) : na) + ' ' + (showOId ? str.tostring(deltaOI , format.volume) : ''), text_halign=switchhalign(texthalign), text_valign=text.align_center, text_color=chart.fg_color, text_size=switchtextsize(labelsize))
hLine = line.new(prevHighIndex, pivHi, bar_index, pivHi, color=showSwingLines ? sellcol : CLEAR, style=lineStyle(lineStyle), width=lineWid)
array.push(levelBoxes, hBox)
array.push(levelLines, hLine)
if lv and inRange and showlows and oitreshcond and voltreshcond and oicond
lBox = box.new(prevLowIndex, pivLo * (1 - boxWid1), bar_index, boxStyle(boxStyle), border_color=na, bgcolor=showBoxes ? buyboxCol : CLEAR, text=(showVol ? str.tostring(vol, format.volume) : na) + ' ' + (showOId ? str.tostring(deltaOI , format.volume) : ''), text_halign=switchhalign(texthalign), text_valign=text.align_center, text_color=chart.fg_color, text_size=switchtextsize(labelsize))
lLine = line.new(prevLowIndex, pivLo, bar_index, pivLo, color=showSwingLines ? buycol : CLEAR, style=lineStyle(lineStyle), width=lineWid)
array.push(levelBoxes, lBox)
array.push(levelLines, lLine)
// Looping over the full array of lines and updating them, and deleting them if they have been touched
size = array.size(levelBoxes)
if size > 0
for i = 0 to size - 1
j = size - 1 - i
box = array.get(levelBoxes, j)
line = array.get(levelLines, j)
level = line.get_y2(line)
filled = (high >= level and low <= level)
if filled and extendtilfilled and not hidefilled
array.remove(levelLines, j)
array.remove(levelBoxes, j)
continue
box.set_right(box, bar_index + 1)
line.set_x2(line, bar_index + 1)
if filled and hidefilled
array.remove(levelLines, j)
array.remove(levelBoxes, j)
line.delete(line)
box.delete(box)
if not filled and not extendtilfilled
array.remove(levelLines, j)
array.remove(levelBoxes, j)
continue
// Deleting the oldest lines if array is too big
if array.size(levelBoxes) >= 500
int i = 0
while array.size(levelBoxes) >= 500
box = array.get(levelBoxes, i)
line = array.get(levelLines, i)
box.delete(box)
line.delete(line)
array.remove(levelBoxes, i)
array.remove(levelLines, i)
i += 1
// Plotting circle labels for SPL
plotshape(showhighs and showBubblesSPL and h and oitreshcond and voltreshcond and oicond ? high : na, style=shape.triangleup, location=location.absolute, offset=-swingSizeR, color=sellcolB, size=size.tiny)
plotshape(showlows and showBubblesSPL and lv and oitreshcond and voltreshcond and oicond ? low : na, style=shape.triangledown, location=location.absolute, offset=-swingSizeR, color=buycolB, size=size.tiny)
// Calculations for Bubbles AcadAlgo
volumeData = volume
priceSource = hl2
volumeInDollars = volumeData * close
selectedVolume = calculateInDollars ? volumeInDollars : volumeData
normalizedVolume = selectedVolume / ta.stdev(selectedVolume, 200)
gradientColor = not useHeatMap
? color.from_gradient(
normalizedVolume, 0, 8,
chart.bg_color == color.white ? color.new(mainColor, 100) : color.rgb(18, 34, 18, 50),
mainColor
)
:
(
normalizedVolume < 1
? color.from_gradient(normalizedVolume, 0, 1, heatMapColor1, heatMapColor2)
: normalizedVolume >= 1 and normalizedVolume < 4
? color.from_gradient(normalizedVolume, 1, 4, heatMapColor3, heatMapColor4)
: normalizedVolume >= 4
? color.from_gradient(normalizedVolume, 4, 8, heatMapColor4, heatMapColor5) : na
)
volumeCondition = volumeFilterOn ? (selectedVolume >= minVolumeDollars and selectedVolume < maxVolumeDollars) : true
conditionTiny = volumeCondition and normalizedVolume > 0 and normalizedVolume < 1 and showBubbles
conditionSmall = volumeCondition and normalizedVolume >= 1 and normalizedVolume < 2 and showBubbles
conditionNormal= volumeCondition and normalizedVolume >= 2 and normalizedVolume < 3 and showBubbles
conditionLarge = volumeCondition and normalizedVolume >= 3 and normalizedVolume < 4 and showBubbles
conditionHuge = volumeCondition and normalizedVolume >= 4 and showBubbles
// Plotting for Bubbles AcadAlgo
if conditionHuge and (showLevels or showBubbles)
label.new(showBubbles ? bar_index : last_bar_index, priceSource, str.tostring(selectedVolume, format.volume), xloc.bar_index, yloc.price,
#00000000, showBubbles ? label.style_label_center : label.style_label_left, chart.fg_color)
if conditionHuge and showLevels
line.new(bar_index, priceSource, last_bar_index, priceSource, xloc.bar_index, extend.none, gradientColor, width=2)
// figure
plotshape(conditionTiny ? priceSource : na, "", shape.square, location.absolute, gradientColor, 0, "", na, size=size.tiny)
plotshape(conditionSmall ? priceSource : na, "", shape.circle, location.absolute, gradientColor, 0, "", na, size=size.small)
plotshape(conditionNormal? priceSource : na, "", shape.circle, location.absolute, gradientColor, 0, "", na, size=size.normal)
plotshape(conditionLarge ? priceSource : na, "", shape.square, location.absolute, gradientColor, 0, "", na, size=size.normal)
plotshape(conditionHuge ? priceSource : na, "", shape.diamond, location.absolute, gradientColor, 0, "", na, size=size.huge)
// Manage the number of lines and labels on the chart
a_allLines = line.all
if array.size(a_allLines) > levelsCount
line.delete(array.shift(a_allLines))
a_allLabels = label.all
if array.size(a_allLabels) > levelsCount and not showBubbles
label.delete(array.shift(a_allLabels))
// Warning if no Volume data Provided
if ta.cum(volume) <= 0 and barstate.islast
label.new(bar_index, hl2, "No Volume Data Available Use Another Symbol",
style=label.style_label_left,
textcolor=chart.fg_color)
// Volume Profile Functions
get_label_size(x) =>
result = switch x
'Auto' => size.auto
'Tiny' => size.tiny
'Small' => size.small
'Normal' => size.normal
'Large' => size.large
'Huge' => size.huge
get_hvn() =>
if values.size() > hvn_strength
for i = 0 to values.size() - 1
start = values.get(i)
valid = true
for j = -hvn_strength to hvn_strength
k = i + j
if k < 0 or k > values.size() - 1
continue
else
if j != 0 and values.get(k) > start
valid := false
break
if valid
idx = values.indexof(start)
if idx != -1
y1 = y_vol.get(idx)
y2 = y_vol.get(idx)
val = y_vol.get(idx)
if i < values.size() - 1
for m = i to values.size() - 2
if values.get(m + 1) > values.get(m)
y1 := y_vol.get(m)
break
if i > 0
for m = i to 1
if values.get(m - 1) > values.get(m)
y2 := y_vol.get(m)
break
new_color = close > math.avg(y1, y2) ? hvn_color_bull : hvn_color_bear
if hvn_type == "Levels"
if hvn_Ly.indexof(val) == -1
hvn_Ly.unshift(val)
hvn_lines.unshift(line.new(time, val, time + timeframe.in_seconds(tf)*1000, val, xloc = xloc.bar_time, color = color.new(new_color, 0), style = start == values.max() ? line.style_solid : line.style_dotted, width = hvn_width))
else
if hvn_By.indexof(y1) == -1
hvn_By.unshift(y1)
hvn_boxes.unshift(box.new(time, y1, time + timeframe.in_seconds(tf)*1000, y2, xloc = xloc.bar_time, bgcolor = new_color, border_color = na))
ltf := timeframe.in_seconds(ltf) <= timeframe.in_seconds() ? ltf : ""
= request.security_lower_tf(syminfo.tickerid, ltf, )
if not na(lb_idx)
lb = bar_index - lb_idx > 0 ? (bar_index - lb_idx) : 1
y_max = ta.highest(high , lb)
y_min = ta.lowest(low , lb)
if timeframe.change(tf) or barstate.islast
x_vol.clear()
y_vol.clear()
values.clear()
for i = 0 to rows
y = y_min + i * (y_max - y_min) / rows
x_vol.push(lb_time)
y_vol.push(y)
values.push(0)
for i = bar_index - lb_idx to 1
vol = ltf_V ,
if vol.size() > 0
for j = 0 to values.size() - 1
temp = y_vol.get(j)
for k = 0 to vol.size() - 1
H = ltf_H
L = ltf_L
V = ltf_V
if H.get(k) >= temp and L.get(k) <= temp
add = math.floor(V.get(k) / ((H.get(k) - L.get(k)) / (y_max - y_min) / rows))
values.set(j, values.get(j) + add)
max_y = y_vol.get(values.indexof(values.max()))
sf = values.max() / (time - lb_time) / (extend / 100)
for j = 0 to values.size() - 1
set = (lb_time + math.floor(values.get(j) / sf))
x_vol.set(j, set)
PLA.clear()
PLA.push(chart.point.from_time(lb_time, y_min))
for i = 0 to x_vol.size() - 1
PLA.push(chart.point.from_time(x_vol.get(i), y_vol.get(i)))
PLA.push(chart.point.from_time(lb_time, y_max))
PL.delete()
if timeframe.change(tf)
polyline.new(PLA, curved = false, closed = true, line_color = vp_color, fill_color = vp_color, xloc = xloc.bar_time)
temp_vpoc.delete()
vpoc.unshift(line.new(lb_time, max_y, time, max_y, xloc = xloc.bar_time, color = show_vpoc ? vpoc_color : na, extend = ext_vpoc ? extend.right : extend.none, width = vpoc_width))
if ext_vpoc and timeframe.in_seconds(tf) >= timeframe.in_seconds(vpoc_label_above)
dates.unshift(label.new(bar_index, max_y, str.format("{0,date,short}", time("", session = "0000-0000", timezone = "America/New_York")), textcolor = show_vpoc ? vpoc_color : na, color = na, size = get_label_size(vpoc_label_size)))
else
PL := polyline.new(PLA, curved = false, closed = true, line_color = vp_color, fill_color = vp_color, xloc = xloc.bar_time)
if na(temp_vpoc)
temp_vpoc := line.new(lb_time, max_y, time, max_y, xloc = xloc.bar_time, color = show_vpoc ? vpoc_color : na, extend = ext_vpoc ? extend.right : extend.none, width = vpoc_width)
temp_vpoc.set_y1(max_y)
temp_vpoc.set_y2(max_y)
temp_vpoc.set_x2(time)
if timeframe.change(tf)
lb_idx := bar_index
lb_time := time
if show_hvn
hvn_lines.clear()
hvn_boxes.clear()
hvn_Ly.clear()
hvn_By.clear()
get_hvn()
if ext_vpoc and vpoc.size() > ext_n_vpoc
line.set_extend(vpoc.pop(), extend.none)
if timeframe.in_seconds(tf) >= timeframe.in_seconds(vpoc_label_above)
label.delete(dates.pop())
if dates.size() > 0
for i = 0 to dates.size() - 1
dates.get(i).set_x(bar_index + 20)
//@version=5 indicator("Supply and Demand Zones with Reversal Pa//@version=5 indicator("Supply and Demand Zones with Reversal Pa with shahidi
Williams %R with Dual EMAThis script enhances the traditional Williams %R oscillator by adding two exponential moving averages (EMAs) to identify overbought and oversold conditions more effectively
Crt indicator 2This indicator helps you trade crt with the knowledge of ict and key time and key levels
CRT Indicator 1This helps you trade crt with the help of ict and key time with key level from the higher time frame
ICT Dynamic WatermarkA moving watermark anchored to the current candle's closing price. This indicator was specifically created for Michael J. Huddleston (ICT) to help prevent people using his content without authorization.
Support and Resistance all in one The Support and Resistance Indicator (v4) is designed to identify and track key price levels in financial markets. Here's how it works:
Core Functionality
Level Detection
Uses pivot points to identify significant price levels
Looks for swing highs (resistance) and swing lows (support)
Requires price action to pivot over a specified period (default 10 bars)
Dynamic Level Management
Maintains separate arrays for support and resistance levels
Limits maximum displayed levels (default 10) to prevent chart clutter
Removes oldest levels when maximum is reached
Ensures new levels are sufficiently distant from existing ones (minimum 1% separation)
Touch Detection System
Monitors price interaction with established levels
Counts when price comes within 0.1% of any level
Updates touch count and strength classification
Categories: "New" (1 touch), "Moderate" (2 touches), "Strong" (3+ touches)
Visual Representation
Draws horizontal lines at each level
Updates line width based on strength (thicker for stronger levels)
Shows labels with price and strength information
Color coding: Red (new/moderate levels), Green (strong levels)
Displays triangles (▼▲) at pivot points
Trading Applications
Support/Resistance Trading
Strong levels (3+ touches) suggest reliable trading zones
More touches indicate higher probability reversal points
Use for stop loss and target placement
Breakout Trading
Monitor breaks of strong levels
Higher touch count suggests more significant breakouts
Watch for false breakouts at weaker levels
Risk Management
Place stops beyond strong levels
Use level strength to adjust position size
Consider multiple timeframe analysis
Best Practices
Use with other indicators for confirmation
Consider market context and trend
Monitor level strength development
Don't rely solely on touch count
Watch for price reaction at levels
Customization Options
Adjust pivot length for different timeframes
Modify minimum distance between levels
Change required touches for "Strong" classification
Toggle strength labels display
Choose line style (Solid/Dashed/Dotted)
This indicator helps identify key price levels where market participants have shown interest, making it valuable for trade planning and risk management
The CRT Indicator (1/2) @TorioTradesThis helps you trade crt with the help of ict and key levels with key time
8 EMA kevis2//@version=5
indicator("8 EMA Indicator", overlay=true)
// Definir los períodos de las EMAs
ema1_length = input(5, title="EMA 1")
ema2_length = input(10, title="EMA 2")
ema3_length = input(20, title="EMA 3")
ema4_length = input(50, title="EMA 4")
ema5_length = input(100, title="EMA 5")
ema6_length = input(200, title="EMA 6")
ema7_length = input(500, title="EMA 7")
ema8_length = input(1000, title="EMA 8")
// Calcular las EMAs
ema1 = ta.ema(close, ema1_length)
ema2 = ta.ema(close, ema2_length)
ema3 = ta.ema(close, ema3_length)
ema4 = ta.ema(close, ema4_length)
ema5 = ta.ema(close, ema5_length)
ema6 = ta.ema(close, ema6_length)
ema7 = ta.ema(close, ema7_length)
ema8 = ta.ema(close, ema8_length)
// Determinar la tendencia
esAlcista = ema1 > ema2
colorTendencia = esAlcista ? color.green : color.red
// Dibujar las EMAs en el gráfico con colores dinámicos
plot(ema1, title="EMA 1", color=colorTendencia)
plot(ema2, title="EMA 2", color=colorTendencia)
plot(ema3, title="EMA 3", color=colorTendencia)
plot(ema4, title="EMA 4", color=colorTendencia)
plot(ema5, title="EMA 5", color=colorTendencia)
plot(ema6, title="EMA 6", color=colorTendencia)
plot(ema7, title="EMA 7", color=colorTendencia)
plot(ema8, title="EMA 8", color=colorTendencia)
POB RSI Bullish Divergence//@version=5
indicator("RSI Bullish Divergence", overlay=true)
// RSI Settings
rsiLength = input(14, title="RSI Length")
rsiSource = input(close, title="RSI Source")
rsiLevel = input(30, title="RSI Bullish Threshold")
// Calculate RSI
rsiValue = ta.rsi(rsiSource, rsiLength)
// Detecting Bullish Divergence
// We check if the price is making a lower low but the RSI is making a higher low
// Price lows
priceLow = ta.lowest(low, 10)
// RSI lows
rsiLow = ta.lowest(rsiValue, 10)
// Check for Bullish Divergence (price low < previous low, RSI low > previous low)
bullDiv = (priceLow < priceLow ) and (rsiLow > rsiLow )
// Plot the Bullish Divergence signal on the chart
plotshape(bullDiv, title="Bullish Divergence", location=location.belowbar, color=color.green, style=shape.labelup, text="BULL")
// Optional: Plot the RSI line for reference
plot(rsiValue, title="RSI", color=color.blue, linewidth=1, offset=-1)
hline(30, title="RSI Threshold", color=color.red, linestyle=hline.style_dotted)
Volume Zones Internal Visualizer [LuxAlgo]The Volume Zones Internal Visualizer is an alternate candle type intended to reveal lower timeframe volume activity while on a higher timeframe chart.
It displays the candle's range, the highest and lowest zones of accumulated volume throughout the candle, and the Lower Timeframe (LTF) candle close, which contained the most volume in the session (Candle Session).
🔶 USAGE
The indicator is intended to be used as its own independent candle type. It is not a replacement for traditional candlesticks; however, it is recommended that you hide the chart's display when using this indicator. Another option is to display this indicator in an additional pane alongside the normal chart, as displayed above.
The display consists of candle ranges represented by outlined boxes, within the ranges you will notice a transparent-colored zone, a solid-colored zone, and a line.
Each of these displays different points of volume-related information from an analysis of LTF data.
In addition to this analysis, the indicator also locates the LTF candle with the highest volume, and displays its close represented by the line. This line is considered as the "Peak Activity Level" (PAL), since throughout the (HTF) candle session, this candle's close is the outcome of the most volume transacted at the time.
We are further tracking these PALs by continuing to extend them into the future, looking towards them for potential further interaction. Once a PAL is crossed, we are removing it from display as it has been mitigated.
🔶 DETAILS
The indicator aggregates the volume data from each LTF candle and creates a volume profile from it; the number of rows in the profile is determined by the "Row Size" setting.
With this profile, it locates and displays the highest (solid area) and lowest (transparent area) volume zones from the profile created.
🔶 SETTINGS
Row Size: Sets the number of rows used for the calculation of the volume profile based on LTF data.
Intrabar Timeframe: Sets the Lower Timeframe to use for calculations.
Show Last Unmitigated PALs: Choose how many Unmitigated PALs to extend.
Style: Toggle on and off features, as well as adjust colors for each.
Pat EMA StratEMA 21 & 89 Crossover Buy Script.
Using the M30 EMA 21 & M30 EMA 89 to signal a buy signal. From there you can start using the M5 EMA 21 & M5 EMA 89 on the lower time frame for entries.
This EMA script is best to be used with other trading tools and analysis. The EMA buy signal SHOULD NOT be used as an entry point every time.
Time Zone & SessionsDa las sesiones de London, New York, Asia y Austr.
Además un time zone incorporado para marcar días
