3-RSI Buy/Sell (s-a-t-i-s-h)This indicator will give u a strong idea about the movement based on the movement of 3 RSI level. Thanks to Claude and Chatgpt for helping to implement my idea.
Best setup is if you are in 15 minute time frame then set 3, 5 ,15 as RSI. So all is bullish or bearish will help u to identify a good trade.
You can play around as many useful features is been added for identifying strong movement.
Cheers.
s-a-t-i-s-h
Trend Analizi
AstraEdgeAstra Edge Tool
Astra Edge is built from the ground up, through years of real market experience, observation, and execution — not theory.
It reflects how I personally analyze price structure, volatility, and directional bias in live markets.
The indicator combines multiple layers of technical logic — multi-timeframe trend context, fixed daily structure levels, volatility bands, and range compression detection — into one stable, easy-to-read system.
It does not predict or guarantee direction; it reads what the market is doing right now and presents it visually in a structured way.
Every element of Astra Edge — the dashboard, zones, and compression highlights — is designed to help traders interpret market behavior, not chase it.
It aims to bring clarity and control to your intraday or swing decision-making by helping you focus on structure, momentum, and context instead of noise.
It’s not a shortcut or a holy grail.
It’s a refined tool that mirrors how experienced traders actually think — visually, contextually, and systematically.
⚙️ Features
🟢 Multi–Timeframe Dashboard
A clean grid showing five user-selected symbols across three timeframes — giving instant trend alignment and strength visibility.
LTP, % change, and SMA direction are colour-coded for quick interpretation.
🔵 Fixed Market Structure Levels
Automatic plotting of previous day and today’s high, low, open, and close —
the four most powerful reference points for intraday structure and reaction levels.
No repainting, no recalculation — just static, reliable structure.
🟣 Zone Bands
Calculates zones from the prior candles
Weekly or custom timeframe zones
Zones are highlighted dynamically and labeled clearly, helping you identify balance, breakout, and reversal regions visually.
🟠 Sideways Zone Detector
Built-in compression detector that identifies when the market is stuck in range.
Highlights consolidation zones and labels them with optional Zig Zag markers, helping traders avoid choppy conditions or plan breakout traps early.
🟡 Optional Bollinger Framework
Toggleable Bollinger structure that adds volatility context to the chart, helping spot expansions, squeezes, or range resets quickly.
⚙️ Customization
Dashboard and Sideways Zone ON/OFF switches
Adjustable zone thickness, label names, and colours
Works across stocks, indices, forex, and crypto
Optimized for dark and light chart themes
🧠 How to Use
Best for intraday and positional structure analysis
Works on any timeframe — but ideal visualization on 1m to 1h charts
Ideal timeframe 5mins
Focus on zone reactions and structure shifts, not standalone signals
Combine with your own entry confirmation or volume logic
Remember — Astra Edge shows structure, it doesn’t decide trades.
💎 Philosophy
“Every trader has tools. The elite have Astra Edge.”
Astra Edge was built for traders who prefer clarity over clutter and discipline over guesswork.
It combines multiple technical frameworks — not to replace your strategy, but to enhance your judgment.
⚠️ Disclaimer
I am not a SEBI-registered advisor.
This indicator is created purely for educational and informational purposes.
It does not guarantee profits, nor should it be considered investment advice or a trading signal system.
Trading and investing involve risk — use at your own discretion and consult a SEBI-registered financial advisor before making any financial decisions.
Astra Edge follows price action — price action does not follow Astra Edge.
Sometimes it will align perfectly with the trend, other times it won’t.
This is not a Holy Grail, it’s a structured lens to view the market more intelligently.
Strat Reversal MTF TableStrat Reversal MTF Table — Your Complete Multi-Timeframe Strat Command Center
Take your Strat trading to the next level with an indicator that shows every reversal, on every timeframe, in one powerful visual dashboard.
Designed for traders who demand speed, clarity, and full Strat alignment, the Strat Reversal MTF Table instantly identifies all major bullish and bearish reversal patterns:
Bullish Patterns
2-1-2
3-1-2
1-3-2
3-2-2
Bearish Patterns
2-1-2
3-1-2
1-3-2
3-2-2
Each signal is displayed with:
Clear pattern name (e.g., “2-1-2 Bull”)
Automatic trigger price
Timeframe label
Color-coded background (Bullish / Bearish / Neutral)
Whether you trade options, equities, futures, or crypto, this indicator makes it effortless to see what’s flipping — and where the strongest setups are emerging.
🔥 Key Features
📊 Multi-Timeframe Scanning (1 min → Daily)
Monitor 7 customizable timeframes at once.
From scalping to swing trading, you always know which timeframe is turning.
⚡ Real-Time OR Close-Confirmed Logic
Choose your style:
Realtime (Wick Mode) → Fast entries
Close-Confirmed → Stronger validation
Ideal for traders who want precision on any timeframe.
🎨 Clean & Customizable Dashboard
Move the table anywhere on the chart
Adjust text size
Choose your own colors
Lightweight and non-intrusive
A perfect blend of simplicity and power.
📩 Instant Alerts, Built In
Get notified instantly when:
Any timeframe reverses
A specific timeframe flips
Multiple reversals fire across the stack
The indicator works great with TradingView’s push notifications, email, and webhooks.
🎯 What This Helps You Do
✔ Catch Strat reversals as they happen
✔ Quickly spot full-timeframe alignment
✔ Improve your entries for options plays
✔ Avoid chop by reading higher-timeframe intent
✔ Trade more confidently with automated trigger levels
This indicator is built for Strat traders who want to trade smarter, faster, and cleaner.
✨ Perfect For
Strat Traders
Options Traders
Futures Scalpers
Intraday & Swing Traders
Quant/Algo-inspired traders
Anyone following Rob Smith’s methodology
Smart Money OB FVG
Smart Money OB FVG Strategy — Full Description
🔷 Advanced Order Block + Multi-TF FVG + Liquidity Sweep + Auto TP/SL
A Complete Smart Money Concept Trading System
This script combines multiple professional Smart Money tools into a single, optimized and non-repainting engine. Designed for scalpers, intraday traders, swing traders, and algorithmic strategy users.
🔥 Key Features
✔ Intelligent Order Block Engine (IOB)
Automatic bullish & bearish Order Block detection
ATR-based or Range-based volatility filter
Scalp / Normal / Balanced swing structure modes
Auto extending OB zones
Auto-removal of invalid OBs
OB touch alerts
✔ Buy/Sell Signals With Dynamic TP/SL
Non-repainting BUY/SELL structure shift detection
Auto-generated TP & SL levels
SL placement based on OB structure + liquidation buffer
Adjustable Risk-Reward (RR) multiplier
TP/SL labels update in real-time
Fully dynamic lines extending as new candles appear
✔ Liquidity Grab Detection (Wick Liquidity Sweeps)
Upper/lower wick manipulation detection
RSI-supported confirmation
Automatic "LiQ" labels
Strong reversal indication
Liquidity alert system included
✔ Multi-Timeframe FVG Engine (Fair Value Gaps)
Tracks and updates FVG zones from:
15M
1H
4H
1D
Features:
Auto FVG detection
Bullish/Bearish colored zones
Tested FVG repainting → color changes
Auto-cleaning invalid FVGs
Maximum box limits (reduces clutter)
FVG labels inside zones (15M / 1H / 4H / 1D)
One-click master switch for all FVGs
✔ Real-Time Info Panel (Top-Right Table)
Current symbol
Live price
Turkish local time (UTC+3)
Minimalistic, transparent overlay panel
✔ Smart Alerts
OB Buy/Sell signal
Liquidity grab
OB touch
Trend shift
Multi-timeframe FVG alert
Alert-saving mode (prevents alert spam)
💼 Perfect For
Smart Money Concepts traders
Liquidity hunters
OB + FVG traders
Scalpers
Swing & intraday traders
Algorithmic systems
High RR strategy traders
📌 Notes
This is an Invite-Only Script.
Access is given only to approved users.
WPR Dot PlotterWPR = williams percent range dot plotter.
I put my settings at tiny and yellow dot when WPR is between -20 and 0.
Red dot on top when WPR is -80 to -100
Entertainment purposes only.
Plot Multiple Stock Avg Buy , Stop Loss, Target(s-a-t-i-s-h)This indicator will be mostly helpful for individual, broker or consultant who deal with multiple stock purchase and would like to plot Buy Price, Stop Loss, Target, Just upload the stocks in the format given in the indicator and Voila we have all the plotting in the respective charts. Thanks to Claude for helping me to finalize my idea this indicator.
Now consultant / stock broker can give the list to there client with the respective levels and then can plot it easy with this one indicator.
Enjoy--
Astra EdgeAstra Edge Tool
Astra Edge is built from the ground up, through years of real market experience, observation, and execution — not theory.
It reflects how I personally analyze price structure, volatility, and directional bias in live markets.
The indicator combines multiple layers of technical logic — multi-timeframe trend context, fixed daily structure levels, volatility bands, and range compression detection — into one stable, easy-to-read system.
It does not predict or guarantee direction; it reads what the market is doing right now and presents it visually in a structured way.
Every element of Astra Edge — the dashboard, zones, and compression highlights — is designed to help traders interpret market behavior, not chase it.
It aims to bring clarity and control to your intraday or swing decision-making by helping you focus on structure, momentum, and context instead of noise.
It’s not a shortcut or a holy grail.
It’s a refined tool that mirrors how experienced traders actually think — visually, contextually, and systematically.
⚙️ Features
🟢 Multi–Timeframe Dashboard
A clean grid showing five user-selected symbols across three timeframes — giving instant trend alignment and strength visibility.
LTP, % change, and SMA direction are colour-coded for quick interpretation.
🔵 Fixed Market Structure Levels
Automatic plotting of previous day and today’s high, low, open, and close —
the four most powerful reference points for intraday structure and reaction levels.
No repainting, no recalculation — just static, reliable structure.
🟣 Zone Bands
Calculates zones from the prior candles
Weekly or custom timeframe zones
Zones are highlighted dynamically and labeled clearly, helping you identify balance, breakout, and reversal regions visually.
🟠 Sideways Zone Detector
Built-in compression detector that identifies when the market is stuck in range.
Highlights consolidation zones and labels them with optional Zig Zag markers, helping traders avoid choppy conditions or plan breakout traps early.
🟡 Optional Bollinger Framework
Toggleable Bollinger structure that adds volatility context to the chart, helping spot expansions, squeezes, or range resets quickly.
⚙️ Customization
Dashboard and Sideways Zone ON/OFF switches
Adjustable zone thickness, label names, and colours
Works across stocks, indices, forex, and crypto
Optimized for dark and light chart themes
🧠 How to Use
Best for intraday and positional structure analysis
Works on any timeframe — but ideal visualization on 1m to 1h charts
Ideal timeframe 5mins
Focus on zone reactions and structure shifts, not standalone signals
Combine with your own entry confirmation or volume logic
Remember — Astra Edge shows structure, it doesn’t decide trades.
💎 Philosophy
“Every trader has tools. The elite have Astra Edge.”
Astra Edge was built for traders who prefer clarity over clutter and discipline over guesswork.
It combines multiple technical frameworks — not to replace your strategy, but to enhance your judgment.
⚠️ Disclaimer
I am not a SEBI-registered advisor.
This indicator is created purely for educational and informational purposes.
It does not guarantee profits, nor should it be considered investment advice or a trading signal system.
Trading and investing involve risk — use at your own discretion and consult a SEBI-registered financial advisor before making any financial decisions.
Astra Edge follows price action — price action does not follow Astra Edge.
Sometimes it will align perfectly with the trend, other times it won’t.
This is not a Holy Grail, it’s a structured lens to view the market more intelligently.
💼 Access
“Access available to invite-only users.”
All existing users will receive lifetime updates and improvements without any additional charges.
Triple EMA/SMA + crossoverA powerful 3-in-1 Moving Average system — clean, customizable, and built for real-time clarity.
This indicator combines three fully customizable moving averages into a single tool, giving you a complete view of trend behavior, momentum strength, and market structure — all in one compact and intuitive display.
Whether you prefer EMA or SMA, this script lets you switch seamlessly and adapt instantly to any trading style.
⸻
✅ Key Features
🔹 Three Moving Averages, One Indicator
Instead of cluttering your chart with multiple separate MAs, this script intelligently groups:
• MA1
• MA2
• MA3
…into a single, elegant indicator with unified settings and consistent visuals.
Each MA has its own:
• Length
• Rising/Falling/Flat dynamic color system
• Customizable colors
• Trend-based logic
This makes your chart cleaner, faster to read, and much more powerful.
⸻
🔹 Select Your MA Type
Switch all three MAs at once:
• EMA
• SMA
Perfect for testing different interpretations of trend behavior.
⸻
🔹 Advanced Trend Coloring
Each MA automatically adapts its color based on whether it is:
• Rising (uptrend)
• Falling (downtrend)
• Flat (consolidation / low momentum)
You decide the colors for each state — and for each MA individually.
⸻
🔹 MA Crossover Bar Highlights
When MA1 crosses MA2, the script highlights the exact bar with:
• White for bullish crossovers
• Purple for bearish crossovers
This makes trend shifts and potential reversals instantly visible, directly on price bars.
⸻
🔹 Source Flexibility
All three MAs can use any source series:
• Close, Open, HL2, HLC3, OHLC4, etc.
• Or any other series available on your chart
This gives you much more flexibility than standard MA indicators.
⸻
🔹 Beautiful, Clean & Fully Customizable
Every color — rising, falling, flat, crossover — can be changed.
All plots are clearly named (MA1, MA2, MA3) for easier control in the Style panel.
This script brings together:
• clarity
• flexibility
• and clean design
…into a compact, professional-grade indicator.
⸻
🎯 Why this Indicator Helps
You get the full power of three trend tools at once — but without the chart clutter.
Use it to:
• Spot early trend reversals
• Track short/mid/long-term structure simultaneously
• Identify momentum shifts in real time
• Visualize crossovers instantly
• Keep your chart clean and readable
It’s ideal for scalpers, day traders, swing traders, and anyone who wants a powerful yet simple way to read market conditions.
⸻
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Always do your own research before trading.
⸻
Compact Fixed R:R ToolLookback Fixed R/R Tool
Helps me trail my Stop to maximize profit for each trade,
My Risk management:(depends on price speed)
1:2 = BE
1:3 = 1:2 Trailing Stop
1:4 = 1:3 Trailing Stop
1:5 = 1:4 Trailing Stop
1:6 = 1:5 Trailing Stop
If Price will run through my R/R levels I will just max my profit based on consistency rule/ try to chuck for max profits
S/R MTF// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © fluxchart
//@version=6
//S&R; V2.12
const bool DEBUG = false
const bool fixSRs = true
const bool fixRetests = false
indicator("crr S/R MTF", overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500, dynamic_requests = true)
const int maxSRInfoListSize = 10
const int maxBarInfoListSize = 3000
const int maxDistanceToLastBar = 500
const int minSRSize = 5
const int retestLabelCooldown = 3
const float tooCloseATR = 1.0 / 8.0
const int labelOffsetBars = 20
const int atrLen = 20
atr = ta.atr(atrLen)
avgVolume = ta.sma(volume, atrLen)
var int curTFMS = timeframe.in_seconds(timeframe.period) * 1000
var map alerts = map.new()
alerts.put("Retest", false)
alerts.put("Break", false)
srPivotLength = input.int(15, "Pivot Length", minval = 3, maxval = 50, group = "General Configuration", display = display.none)
srStrength = input.int(1, "Strength", , group = "General Configuration", display = display.none)
srInvalidation = input.string("Close", "Invalidation", , group = "General Configuration", display = display.none)
expandZones = input.string("Only Valid", "Expand Lines & Zones", options = , group = "General Configuration", display = display.none)
showInvalidated = input.bool(true, "Show Invalidated", group = "General Configuration", display = display.none)
timeframe1Enabled = input.bool(true, title = "", group = "Timeframes", inline = "timeframe1", display = display.none)
timeframe1 = input.timeframe("", title = "", group = "Timeframes", inline = "timeframe1", display = display.none)
timeframe2Enabled = input.bool(false, title = "", group = "Timeframes", inline = "timeframe2", display = display.none)
timeframe2 = input.timeframe("D", title = "", group = "Timeframes", inline = "timeframe2", display = display.none)
timeframe3Enabled = input.bool(false, title = "", group = "Timeframes", inline = "timeframe3", display = display.none)
timeframe3 = input.timeframe("W", title = "", group = "Timeframes", inline = "timeframe3", display = display.none)
showBreaks = input.bool(true, "Show Breaks", group = "Breaks & Retests", inline = "ShowBR", display = display.none)
showRetests = input.bool(true, "Show Retests", group = "Breaks & Retests", inline = "ShowBR", display = display.none)
avoidFalseBreaks = input.bool(false, "Avoid False Breaks", group = "Breaks & Retests", display = display.none)
breakVolumeThreshold = input.float(0.3, "Break Volume Threshold", minval = 0.1, maxval = 2.0, step = 0.1, group = "Breaks & Retests", tooltip = "Only taken into account if Avoid False Breakouts is enabled. Higher values mean it's less likely to be a break.", display = display.none)
inverseBrokenLineColor = input.bool(false, "Inverse Color After Broken", group = "Breaks & Retests", display = display.none)
styleMode = input.string("Lines", "Style", , group = "Style", display = display.none)
lineStyle = input.string("____", "Line Style", , group = "Style", display = display.none)
lineWidth = input.int(2, "Line Width", minval = 1, group = "Style", display = display.none)
zoneSize = input.float(1.0, "Zone Width", minval = 0.1, maxval = 10, step = 0.1, group = "Style", display = display.none)
zoneSizeATR = zoneSize * 0.075
supportColor = input.color(#08998180, "Support Color", group = "Style", inline = "RScolors", display = display.none)
resistanceColor = input.color(#f2364580, "Resistance Color", group = "Style", inline = "RScolors", display = display.none)
breakColor = input.color(color.blue, "Break Color", group = "Style", inline = "RScolors2", display = display.none)
textColor = input.color(#ffffff80, "Text Color", group = "Style", inline = "RScolors2", display = display.none)
enableRetestAlerts = input.bool(true, "Enable Retest Alerts", tooltip = "Needs Show Retests option enabled.", group = "Alerts", display = display.none)
enableBreakAlerts = input.bool(true, "Enable Break Alerts", tooltip = "Needs Show Breaks option enabled.", group = "Alerts", display = display.none)
insideBounds = (bar_index > last_bar_index - maxDistanceToLastBar)
type srInfo
int startTime
float price
string srType
int strength
string timeframeStr
bool ephemeral = false
int breakTime
array retestTimes
type srObj
srInfo info
bool startFixed
bool breakFixed
bool rendered
string combinedTimeframeStr
line srLine
box srBox
label srLabel
label breakLabel
array retestLabels
type barInfo
int t
int tc
float c
float h
float l
var allSRList = array.new()
//#region Find Val RTN Time
findValRtnTime (barInfo biList, valToFind, toSearch, searchMode, minTime, maxTime, int defVal = na) =>
int rtnTime = defVal
float minDiff = na
if biList.size() > 0
for i = biList.size() - 1 to 0
curBI = biList.get(i)
if curBI.t >= minTime and curBI.t < maxTime
toLook = (toSearch == "Low" ? curBI.l : toSearch == "High" ? curBI.h : curBI.c)
if searchMode == "Nearest"
curDiff = math.abs(valToFind - toLook)
if na(minDiff)
rtnTime := curBI.t
minDiff := curDiff
else
if curDiff <= minDiff
minDiff := curDiff
rtnTime := curBI.t
if searchMode == "Higher"
if toLook >= valToFind
rtnTime := curBI.t
break
if searchMode == "Lower"
if toLook <= valToFind
rtnTime := curBI.t
break
rtnTime
//#endregion
formatTimeframeString (string formatTimeframe, bool short = false) =>
timeframeF = (formatTimeframe == "" ? timeframe.period : formatTimeframe)
if str.contains(timeframeF, "D") or str.contains(timeframeF, "W") or str.contains(timeframeF, "S") or str.contains(timeframeF, "M")
timeframe.from_seconds(timeframe.in_seconds(timeframeF))
else
seconds = timeframe.in_seconds(timeframeF)
if seconds >= 3600
hourCount = int(seconds / 3600)
if short
str.tostring(hourCount) + "h"
else
str.tostring(hourCount) + " Hour" + (hourCount > 1 ? "s" : "")
else
if short
timeframeF + "m"
else
timeframeF + " Min"
renderSRObj (srObj sr) =>
if na(sr.info.breakTime) or showInvalidated
sr.rendered := true
endTime = nz(sr.info.breakTime, time + curTFMS * labelOffsetBars)
extendType = extend.none
if na(sr.info.breakTime)
extendType := extend.right
if expandZones == "Only Valid" and na(sr.info.breakTime)
extendType := extend.both
else if expandZones == "All"
extendType := extend.both
endTime := time + curTFMS * labelOffsetBars
labelTitle = formatTimeframeString(sr.info.timeframeStr)
if not na(sr.combinedTimeframeStr)
labelTitle := sr.combinedTimeframeStr
labelTitle += " | " + str.tostring(sr.info.price, format.mintick) + ((sr.info.ephemeral and DEBUG) ? " " : "")
if styleMode == "Lines"
// Line
sr.srLine := line.new(sr.info.startTime, sr.info.price, endTime, sr.info.price, xloc = xloc.bar_time, color = sr.info.srType == "Resistance" ? resistanceColor : supportColor, width = lineWidth, style = lineStyle == "----" ? line.style_dashed : lineStyle == "...." ? line.style_dotted : line.style_solid, extend = extendType)
// Label
sr.srLabel := label.new(extendType == extend.none ? ((sr.info.startTime + endTime) / 2) : endTime, sr.info.price, xloc = xloc.bar_time, text = labelTitle, textcolor = textColor, style = label.style_none)
else
// Zone
sr.srBox := box.new(sr.info.startTime, sr.info.price + atr * zoneSizeATR, endTime, sr.info.price - atr * zoneSizeATR, xloc = xloc.bar_time, bgcolor = sr.info.srType == "Resistance" ? resistanceColor : supportColor, border_color = na, text = labelTitle, text_color = textColor, extend = extendType, text_size = size.normal, text_halign = (extendType != extend.none) ? text.align_right : text.align_center)
// Break Label
if showBreaks
if not na(sr.info.breakTime)
sr.breakLabel := label.new(sr.info.breakTime, sr.info.price, "B", yloc = sr.info.srType == "Resistance" ? yloc.belowbar : yloc.abovebar, style = sr.info.srType == "Resistance" ? label.style_label_up : label.style_label_down, color = breakColor, textcolor = color.new(textColor, 0), xloc = xloc.bar_time, size = size.small)
if (time - curTFMS <= sr.info.breakTime) and (time + curTFMS >= sr.info.breakTime)
alerts.put("Break", true)
// Retest Labels
if showRetests
if sr.info.retestTimes.size() > 0
for i = sr.info.retestTimes.size() - 1 to 0
curRetestTime = sr.info.retestTimes.get(i)
cooldownOK = true
if sr.retestLabels.size() > 0
lastLabel = sr.retestLabels.get(0)
if math.abs(lastLabel.get_x() - curRetestTime) < curTFMS * retestLabelCooldown
cooldownOK := false
if cooldownOK and (curRetestTime >= sr.info.startTime) and (na(sr.info.breakTime) or curRetestTime < sr.info.breakTime)
if time - curTFMS <= curRetestTime and time >= curRetestTime
alerts.put("Retest", true)
sr.retestLabels.unshift(label.new(curRetestTime, sr.info.price, "R" + (DEBUG ? (" " + str.tostring(sr.info.price)) : ""), yloc = sr.info.srType == "Resistance" ? yloc.abovebar : yloc.belowbar, style = sr.info.srType == "Resistance" ? label.style_label_down : label.style_label_up, color = sr.info.srType == "Resistance" ? resistanceColor : supportColor, textcolor = color.new(textColor, 0), xloc = xloc.bar_time, size = size.small))
safeDeleteSRObj (srObj sr) =>
if sr.rendered
line.delete(sr.srLine)
box.delete(sr.srBox)
label.delete(sr.srLabel)
label.delete(sr.breakLabel)
if sr.retestLabels.size() > 0
for i = 0 to sr.retestLabels.size() - 1
curRetestLabel = sr.retestLabels.get(i)
label.delete(curRetestLabel)
sr.rendered := false
var allSRInfoList = array.new()
var barInfoList = array.new()
pivotHigh = ta.pivothigh(srPivotLength, srPivotLength)
pivotLow = ta.pivotlow(srPivotLength, srPivotLength)
barInfoList.unshift(barInfo.new(time, time_close, close, high, low))
if barInfoList.size() > maxBarInfoListSize
barInfoList.pop()
if insideBounds and barstate.isconfirmed
// Find Supports
if not na(pivotLow)
validSR = true
if allSRInfoList.size() > 0
for i = 0 to allSRInfoList.size() - 1
curRSInfo = allSRInfoList.get(i)
if (math.abs(curRSInfo.price - pivotLow) < atr * tooCloseATR) and na(curRSInfo.breakTime)
validSR := false
break
if validSR
newSRInfo = srInfo.new(barInfoList.get(srPivotLength).t, pivotLow, "Support", 1, timeframe.period)
newSRInfo.retestTimes := array.new()
//for i = 1 to srPivotLength
//curBI = barInfoList.get(i)
//if (curBI.l <= newSRInfo.price and curBI.c >= newSRInfo.price)
//newSRInfo.strength += 1
//if curBI.t != newSRInfo.startTime
//newSRInfo.retestTimes.unshift(curBI.t)
allSRInfoList.unshift(newSRInfo)
while allSRInfoList.size() > maxSRInfoListSize
allSRInfoList.pop()
// Find Resistances
if not na(pivotHigh)
validSR = true
if allSRInfoList.size() > 0
for i = 0 to allSRInfoList.size() - 1
curRSInfo = allSRInfoList.get(i)
if (math.abs(curRSInfo.price - pivotLow) < atr * tooCloseATR) and na(curRSInfo.breakTime)
validSR := false
break
if validSR
newSRInfo = srInfo.new(barInfoList.get(srPivotLength).t, pivotHigh, "Resistance", 1, timeframe.period)
newSRInfo.retestTimes := array.new()
//for i = 1 to srPivotLength
//curBI = barInfoList.get(i)
//if (curBI.h >= newSRInfo.price and curBI.c <= newSRInfo.price)
//newSRInfo.strength += 1
//if curBI.t != newSRInfo.startTime
//newSRInfo.retestTimes.unshift(curBI.t)
allSRInfoList.unshift(newSRInfo)
if allSRInfoList.size() > maxSRInfoListSize
allSRInfoList.pop()
// Handle SR Infos
if insideBounds and (srInvalidation == "Wick" or barstate.isconfirmed)
if allSRInfoList.size() > 0
for i = 0 to allSRInfoList.size() - 1
srInfo curSRInfo = allSRInfoList.get(i)
// Breaks
invHigh = (srInvalidation == "Close" ? close : high)
invLow = (srInvalidation == "Close" ? close : low)
closeTime = time
if na(curSRInfo.breakTime)
if curSRInfo.srType == "Resistance" and invHigh > curSRInfo.price
if (not avoidFalseBreaks) or (volume > avgVolume * breakVolumeThreshold)
curSRInfo.breakTime := closeTime
if inverseBrokenLineColor and (not curSRInfo.ephemeral) and curSRInfo.strength >= srStrength
ephSR = srInfo.new(closeTime, curSRInfo.price, "Support", curSRInfo.strength, curSRInfo.timeframeStr, true)
ephSR.retestTimes := array.new()
allSRInfoList.unshift(ephSR)
else if curSRInfo.srType == "Support" and invLow < curSRInfo.price
if (not avoidFalseBreaks) or (volume > avgVolume * breakVolumeThreshold)
curSRInfo.breakTime := closeTime
if inverseBrokenLineColor and (not curSRInfo.ephemeral) and curSRInfo.strength >= srStrength
ephSR = srInfo.new(closeTime, curSRInfo.price, "Resistance", curSRInfo.strength, curSRInfo.timeframeStr, true)
ephSR.retestTimes := array.new()
allSRInfoList.unshift(ephSR)
// Strength & Retests
if na(curSRInfo.breakTime) and time > curSRInfo.startTime and barstate.isconfirmed
if curSRInfo.srType == "Resistance" and high >= curSRInfo.price and close <= curSRInfo.price
int lastRetestTime = 0
if curSRInfo.retestTimes.size() > 0
lastRetestTime := curSRInfo.retestTimes.get(0)
if lastRetestTime != time
if not curSRInfo.ephemeral
curSRInfo.strength += 1
curSRInfo.retestTimes.unshift(time)
else if curSRInfo.srType == "Support" and low <= curSRInfo.price and close >= curSRInfo.price
int lastRetestTime = 0
if curSRInfo.retestTimes.size() > 0
lastRetestTime := curSRInfo.retestTimes.get(0)
if lastRetestTime != time
if not curSRInfo.ephemeral
curSRInfo.strength += 1
curSRInfo.retestTimes.unshift(time)
fixSRToTimeframe (srObj sr) =>
srMS = math.max(timeframe.in_seconds(sr.info.timeframeStr), timeframe.in_seconds()) * 1000
if (not sr.startFixed)
if not sr.info.ephemeral
if sr.info.srType == "Resistance"
sr.info.startTime := findValRtnTime(barInfoList, sr.info.price, "High", "Nearest", sr.info.startTime - srMS, sr.info.startTime + srMS, sr.info.startTime)
else
sr.info.startTime := findValRtnTime(barInfoList, sr.info.price, "Low", "Nearest", sr.info.startTime - srMS, sr.info.startTime + srMS, sr.info.startTime)
sr.startFixed := true
else
if allSRList.size() > 0
for i = 0 to allSRList.size() - 1
curSR = allSRList.get(i)
if (not curSR.info.ephemeral) and (not na(curSR.info.breakTime)) and curSR.info.price == sr.info.price and ((sr.info.srType == "Resistance" and curSR.info.srType == "Support") or (sr.info.srType == "Support" and curSR.info.srType == "Resistance"))
if curSR.breakFixed
sr.info.startTime := curSR.info.breakTime
sr.startFixed := true
break
if not na(sr.info.breakTime)
if (not sr.breakFixed)
if sr.info.srType == "Resistance"
sr.info.breakTime := findValRtnTime(barInfoList, sr.info.price, srInvalidation == "Wick" ? "High" : "Close", "Higher", sr.info.breakTime - srMS, sr.info.breakTime + srMS, sr.info.breakTime)
else
sr.info.breakTime := findValRtnTime(barInfoList, sr.info.price, srInvalidation == "Wick" ? "Low" : "Close", "Lower", sr.info.breakTime - srMS, sr.info.breakTime + srMS, sr.info.breakTime)
sr.breakFixed := true
if sr.info.retestTimes.size() > 0 and fixRetests
for i = 0 to sr.info.retestTimes.size() - 1
curRetestTime = sr.info.retestTimes.get(i)
retestStartTime = curRetestTime - srMS
retestStartTime := math.max(retestStartTime, sr.info.startTime + 1)
retestEndTime = curRetestTime + srMS
if not na(sr.info.breakTime)
retestEndTime := math.min(retestEndTime, sr.info.breakTime - 1)
if sr.info.srType == "Resistance"
sr.info.retestTimes.set(i, findValRtnTime(barInfoList, sr.info.price, "High", "Higher", retestStartTime, retestEndTime, sr.info.retestTimes.get(i)))
else
sr.info.retestTimes.set(i, findValRtnTime(barInfoList, sr.info.price, "Low", "Lower", retestStartTime, retestEndTime, sr.info.retestTimes.get(i)))
getSR (srObj list, srPrice, eph, srType, timeframeStr) =>
srObj rtnSR = na
if list.size() > 0
for i = 0 to list.size() - 1
curSR = list.get(i)
if curSR.info.price == srPrice and curSR.info.ephemeral == eph and curSR.info.srType == srType and curSR.info.timeframeStr == timeframeStr
rtnSR := curSR
break
rtnSR
// Handle SR
handleTF (tfStr, tfEnabled) =>
if tfEnabled
tfSRInfoList = request.security(syminfo.tickerid, tfStr, allSRInfoList)
if not na(tfSRInfoList) and tfSRInfoList.size() > 0
for i = 0 to tfSRInfoList.size() - 1
srInfo curSRInfo = tfSRInfoList.get(i)
if fixSRs
currentSameSR = getSR(allSRList, curSRInfo.price, curSRInfo.ephemeral, curSRInfo.srType, curSRInfo.timeframeStr)
if not na(currentSameSR)
if currentSameSR.startFixed
curSRInfo.startTime := currentSameSR.info.startTime
if currentSameSR.breakFixed
curSRInfo.breakTime := currentSameSR.info.breakTime
curSRInfo.retestTimes := currentSameSR.info.retestTimes
// All other info should be replaced except fixed start, break and all retests.
currentSameSR.info := curSRInfo
if not currentSameSR.breakFixed
fixSRToTimeframe(currentSameSR)
else
srObj newSRObj = srObj.new(curSRInfo)
// We handle retests in current timeframe so no need to get them from upper.
newSRObj.info.retestTimes := array.new()
newSRObj.retestLabels := array.new()
fixSRToTimeframe(newSRObj)
allSRList.unshift(newSRObj)
else
srObj newSRObj = srObj.new(curSRInfo)
newSRObj.retestLabels := array.new()
allSRList.unshift(newSRObj)
true
if (bar_index > last_bar_index - maxDistanceToLastBar * 8) and barstate.isconfirmed
if not fixSRs
if allSRList.size() > 0
for i = 0 to allSRList.size() - 1
srObj curSRObj = allSRList.get(i)
safeDeleteSRObj(curSRObj)
allSRList.clear()
handleTF(timeframe1, timeframe1Enabled)
handleTF(timeframe2, timeframe2Enabled)
handleTF(timeframe3, timeframe3Enabled)
if allSRList.size() > 0
for i = 0 to allSRList.size() - 1
srObj curSRObj = allSRList.get(i)
safeDeleteSRObj(curSRObj)
tooClose = false
for j = 0 to allSRList.size() - 1
closeSR = allSRList.get(j)
if closeSR.rendered and math.abs(closeSR.info.price - curSRObj.info.price) <= tooCloseATR * atr and closeSR.info.srType == curSRObj.info.srType and closeSR.info.ephemeral == curSRObj.info.ephemeral
tooClose := true
if not str.contains((na(closeSR.combinedTimeframeStr) ? formatTimeframeString(closeSR.info.timeframeStr) : closeSR.combinedTimeframeStr), formatTimeframeString(curSRObj.info.timeframeStr))
if na(closeSR.combinedTimeframeStr)
closeSR.combinedTimeframeStr := formatTimeframeString(closeSR.info.timeframeStr) + " & " + formatTimeframeString(curSRObj.info.timeframeStr)
else
closeSR.combinedTimeframeStr += " & " + formatTimeframeString(curSRObj.info.timeframeStr)
break
if (curSRObj.info.strength >= srStrength) and (na(curSRObj.info.breakTime) or (curSRObj.info.breakTime - curSRObj.info.startTime) >= minSRSize * curTFMS) and (not tooClose)
renderSRObj(curSRObj)
// Current Timeframe Retests
if allSRList.size() > 0 and barstate.isconfirmed
for i = 0 to allSRList.size() - 1
srObj curSR = allSRList.get(i)
if na(curSR.info.breakTime) and time > curSR.info.startTime
if curSR.info.srType == "Resistance" and high >= curSR.info.price and close <= curSR.info.price
int lastRetestTime = 0
if curSR.info.retestTimes.size() > 0
lastRetestTime := curSR.info.retestTimes.get(0)
if lastRetestTime != time
curSR.info.retestTimes.unshift(time)
else if curSR.info.srType == "Support" and low <= curSR.info.price and close >= curSR.info.price
int lastRetestTime = 0
if curSR.info.retestTimes.size() > 0
lastRetestTime := curSR.info.retestTimes.get(0)
if lastRetestTime != time
curSR.info.retestTimes.unshift(time)
//plotchar(alerts.get("Break") ? high : na, "", "✅", size = size.normal)
//plotchar(alerts.get("Retest") ? high : na, "", "❤️", size = size.normal, location = location.belowbar)
alertcondition(alerts.get("Retest"), "New Retest", "")
alertcondition(alerts.get("Break"), "New Break", "")
if enableRetestAlerts and alerts.get("Retest")
alert("New Retests Occured.")
if enableBreakAlerts and alerts.get("Break")
alert("New Breaks Occured.")
EMA Position AlertDescription
EMA Position Alert is a comprehensive trend analysis tool designed to help traders instantly identify the market's direction and strength relative to key Exponential Moving Averages (EMAs). By combining visual trend lines with a real-time data dashboard, this indicator provides a clear snapshot of the current price action across short, medium, and long-term horizons.
Whether you are a scalper looking for short-term momentum or a swing trader identifying major trend reversals, this tool simplifies the complex relationship between price and moving averages.
Key Features
1. Multi-EMA System The indicator plots four essential EMAs commonly used by institutional and retail traders:
EMA 21: Short-term trend/momentum.
EMA 55: Medium-term trend.
EMA 100: Major support/resistance level.
EMA 200: Long-term trend filter.
Visual Aid: The EMA lines change transparency automatically. They appear brighter/solid when the price is above them (bullish) and more transparent/faded when the price is below them (bearish).
2. Real-Time Information Dashboard A customizable table (displayed in the top-right corner) provides live data for the current bar:
Status: Clearly indicates if the price is "Above ▲" (Bullish) or "Below ▼" (Bearish) for each specific EMA.
Distance (%): Calculates the percentage distance between the current closing price and each EMA. This is crucial for identifying overextended moves (mean reversion opportunities) or tight consolidation.
Overall Trend Summary:
Strong ★★: Price is above all EMAs (21, 55, 100, 200).
Building ★: Price is above the long-term EMAs (55, 100, 200) but may be testing the short-term trend.
Weak ▼: Price is below all EMAs.
Ranging: Mixed signals (price is sandwiched between EMAs).
3. Custom Alerts Never miss a move. The script comes with built-in alert conditions compatible with TradingView's alert system:
Breakout Alerts: Trigger an alert when price crosses above specific EMAs (21, 55, 100, or 200).
Strong Trend Alert: Trigger an alert when the price successfully holds above all EMAs, signaling a strong bullish phase.
Settings
Show Status Table: Toggle the dashboard on or off.
Table Transparency: Adjust the background opacity of the dashboard to fit your chart theme.
Line Width: Adjust the thickness of the EMA lines for better visibility.
How to Use
Trend Following: Look for the "Strong ★★" status in the dashboard. When the price is above all EMAs and the EMAs are fanning out, it indicates a strong uptrend.
Pullbacks: If the trend is "Strong" but the price drops to test the EMA 21 or EMA 55, look for support bounces.
Mean Reversion: Watch the Distance %. If the distance becomes historically large, the price may be overextended and due for a correction back to the mean.
Consolidation: When the status shows "Ranging" and the Distance % is very low (near 0.00%), a breakout move is likely imminent.
Sal EMA Cloud Trend Labels + Buy/Sell Signals (Real-Time Only)Sal EMA Cloud Trend Labels + Buy/Sell Signals — Real-Time Trend Precision
Unlock cleaner trend detection and faster trade decision-making with the Sal EMA Cloud — a lightweight yet powerful EMA-based trending system designed for intraday and swing traders.
This indicator combines the reliability of the EMA trend model with an intuitive visual experience:
✅ Real-Time Buy/Sell Signals
Instant label-based alerts appear the moment the EMAs cross — giving you clear momentum-shift entries and exits.
✅ Dynamic EMA Cloud
A color-shifting cloud forms between the EMAs, turning green in bullish conditions and red during bearish phases, making trend direction obvious at a glance.
✅ Trend Status Table
A compact, auto-updating table displays the current trend ("Bullish," "Bearish," or "Neutral") in the corner of your chart for quick confirmation.
✅ Clean, Minimal Overlay
No clutter. Just EMAs, a cloud, and actionable signals that work seamlessly across any timeframe.
If you want a straightforward, real-time trend tool that helps you stay on the right side of momentum — this indicator delivers exactly that.
(CRT) MTF Candle Range Theory Model# 🚀 **CASH Pro MTF – Candle Range Theory (CRT) Indicator**
**The Smart Money ICT Setup Detector** 🔥
Hey Traders!
Here is the **ultimate Pine Script indicator** that automatically detects one of the most powerful Smart Money / ICT setups: **Candle Range Theory (CRT)**
---
### What is Candle Range Theory – CRT?
**CRT** is a high-probability price action model based on **liquidity grabs** and **range expansion**.
Price loves to:
1️⃣ Raid the low/high of the previous candle (take stop-losses)
2️⃣ Then reverse and run to the opposite side of the range (or beyond)
When this happens near a **key higher-timeframe level**, magic happens!
### Bullish CRT Model
- Price touches a **strong HTF support**
- Previous candle closes near that support
- Next candle **sweeps the low** (grabs liquidity)
- Current candle **closes above the raided low AND breaks the high** of the sweep candle
**Result → Aggressive bullish move expected!**
**Entry:** On close above the high (or on retest + MSS)
**Stop Loss:** Below the swept low
**Take Profit:** CRT High or next liquidity pool
### Bearish CRT Model
- Price touches a **strong HTF resistance**
- Previous candle closes near resistance
- Next candle **sweeps the high** (grabs buy stops)
- Current candle **closes below the raided high AND breaks the low** of the sweep candle
**Result → Strong bearish expansion!**
**Entry:** On close below the low
**Stop Loss:** Above the swept high
**Take Profit:** CRT Low or next downside liquidity
This whole setup can form in **just 3 candles**… or sometimes more if price consolidates after the sweep.
---
### Why This Indicator is Special
This is **NOT** a simple 3-candle pattern scanner!
This is a **true CRT + MTF confluence beast** with:
- **Multi-Timeframe Confirmation** (default 4H – fully customizable)
- **Built-in RSI Filter** (avoid fake moves in overbought/oversold)
- **Day-2 High/Low Levels** automatically drawn (the exact CRT range!)
- **Clean “LONG” / “SHORT” labels** right on the candle (no ugly arrows or offset)
- **Background highlight** on signal
- **Fully grouped inputs** – super clean settings panel
---
### Features at a Glance
| Feature | Included |
|--------------------------------|----------|
| Higher Timeframe Confirmation | Yes |
| RSI Overbought/Oversold Filter | Yes |
| Day-2 High/Low Lines + Labels | Yes |
| Clean Text Signals (no offset) | Yes |
| Background Highlight | Yes |
| Fully Customizable Colors & Text| Yes |
| Works on All Markets & TFs | Yes |
---
### How to Use
1. Add the indicator to your chart
2. Wait for a **LONG** or **SHORT** label to appear
3. Confirm price is near a **key HTF level** (order block, FVG, etc.)
4. Enter on close or retest (your choice)
5. Manage risk with the drawn Day-2 levels
**Pro Tip:** Combine with ICT Market Structure Shift (MSS) or Fair Value Gaps for even higher accuracy!
RSI-Adaptive T3 & SAR Strategy [PrimeAutomation]⯁ OVERVIEW
The RSI-Adaptive T3 and SAR Confluence Strategy combines adaptive smoothing with dynamic trend confirmation to identify precise trend reversals and continuation opportunities. It fuses the power of an RSI-based adaptive T3 moving average with the Parabolic SAR filter , aiming to trade in harmony with dominant momentum shifts while maintaining tight control through automatic stop-loss placement.
The RSI-Adaptive T3 is a precision trend-following tool built around the legendary T3 smoothing algorithm developed by Tim Tillson, designed to enhance responsiveness while reducing lag compared to traditional moving averages. Current implementation takes it a step further by dynamically adapting the smoothing length based on real-time RSI conditions — allowing the T3 to “breathe” with market volatility. This dynamic length makes the curve faster in trending moves and smoother during consolidations.
To help traders visualize volatility and directional momentum, adaptive volatility bands are plotted around the T3 line, with visual crossover markers and a dynamic info panel on the chart. It’s ideal for identifying trend shifts, spotting momentum surges, and adapting strategy execution to the pace of the market.
⯁ LOGIC
The T3 moving average length dynamically adjusts based on RSI values — when RSI is high, the smoothing period shortens to react faster; when RSI is low, the period increases for stability in slow markets.
A Parabolic SAR filter confirms directional bias, ensuring trades only occur in alignment with the broader market trend.
Long Entries: Trigger when the T3 curve crosses upward while the current price remains above the SAR — signaling bullish momentum alignment.
Short Entries: Trigger when the T3 crosses downward while the price remains below the SAR — confirming bearish trend alignment.
Stops: Dynamic stops are placed using the highest or lowest price over a set lookback period, adapting automatically to market volatility.
⯁ FEATURES
RSI-Adaptive T3 Filter: Adjusts smoothing in real time to market conditions, blending responsiveness with noise reduction.
SAR Confluence Check: Prevents counter-trend entries by confirming momentum direction via the Parabolic SAR.
Automatic Stop Placement: Uses recent highs or lows as stop-loss anchors, minimizing risk exposure.
Color-coded Visualization: The T3 line dynamically changes color based on slope direction, making momentum shifts visually intuitive.
Smoothed Trend Structure: Reduces market noise, allowing cleaner, more reliable trend recognition across different assets.
⯁ CONCLUSION
The RSI-Adaptive T3 and SAR Confluence Strategy delivers an advanced fusion of adaptive smoothing and structural confirmation. By combining RSI-driven reactivity with Parabolic SAR trend validation, this strategy offers a balanced approach to identifying sustainable momentum reversals while maintaining strong risk management through automatic stop levels. Ideal for traders who seek precision entries aligned with adaptive trend dynamics.
[MTX] Weekly Support & Resistance Weekly Support & Resistance
Overview
Discover key market structure with this all-in-one indicator:
Weekly Support & Resistance (SR) levels , Fair Value Gap (FVG) detection , and Automatic Fibonacci retracements .
Designed for MTX traders, it plots non-repainting weekly highs/lows/opens/closes, highlights unmitigated FVGs for potential imbalances, and auto-draws Fib levels, Perfect for swing/day traders on XAUUSD.
🚀 Key Features
- Weekly SR Levels : Plots previous week's High (resistance), Low (support), Open, and Close. Optional historical levels (Week -2/-3).
- SR Zones : Customizable % zones around levels for dynamic support/resistance bands. Fill colors for easy visualization.
- FVG Detection : Identifies bullish (green) and bearish (red) Fair Value Gaps on your chart timeframe.
- buy/sell Signals :
- Trend Filter : Optional EMA/SMA to filter signals
- Auto Fibonacci : auto-retracement with 20+ levels (0%, 23.6%, 38.2%, 50%, 61.8%, 100%, extensions to 423.6%, negatives). Custom colors, labels, and background fills.
- Alerts: Built-in for FVG creation/mitigation + all buy/sell signals. Set up once for real-time notifications.
⚠️ Important Disclaimer
This indicator is for educational and analysis purposes only. It provides visual tools and signals based on historical price action— not financial advice. Past performance ≠ future results. Trading involves risk; use proper risk management. Backtest thoroughly. No guarantees of profitability. Consult a financial advisor.
#tradingview #smc #MTX #fvg #fibonacci #supportresistance
Professional BOS IndicatorThis is a trend following indicator that focuses on BOS, pullback and entry
BTC Future CME Cross-Market DetectorProject Spec: BTC CME Cross-Market Detector
1. Project Overview
Indicator Name
CME Cross-Market Detector
Objective
To identify high-probability trade setups by detecting and confirming "smart money" activity across two distinct market venues simultaneously: a primary crypto exchange (e.g., Bybit, Binance) and the institutional CME futures market.
Core Philosophy
Price movements are often preceded by the positioning of large, institutional players ("smart money"). While their activity can be seen on any single exchange, the signal becomes exceptionally reliable when the same footprint appears at the same time in both the broader crypto derivatives market and the highly regulated institutional futures market. This dual-market confirmation acts as a powerful noise filter, isolating signals that have a higher probability of follow-through.
2. Key Concepts & Signal Logic
The indicator's entire foundation rests on confirming that specific conditions are met on two datasets at the same time: (1) The user's current chart (e.g., BYBIT:BTCUSDT) and (2) The CME Bitcoin Futures chart (CME:BTC1!).
Smart Volume Analysis
To gauge buying vs. selling pressure, the total volume of a single candle is algorithmically split. This is not a perfect science but an effective estimation based on the candle's structure.
Buying Pressure is considered proportional to the distance the price closed from the low. Buying Pressure ≈ Total Volume × ((Close - Low) / (High - Low))
Selling Pressure is considered proportional to the distance the price closed from the high. Selling Pressure ≈ Total Volume × ((High - Close) / (High - Low))
Signal Trigger Conditions
For a potential signal to be identified on each market independently, two conditions must be met:
Volume Spike: The volume of the current candle must be significantly higher than the recent average volume (e.g., >150% of the 20-period moving average). This shows a sudden, high level of interest.
Pressure Imbalance: The estimated buying pressure must overwhelm the selling pressure by a certain factor (e.g., 3x), or vice versa for a sell signal. This indicates a clear directional intent.
The Final Confirmed Signal
A signal is only considered valid and plotted on the chart when the Signal Trigger Conditions (both Volume Spike and Pressure Imbalance) are met on both the primary chart and the CME chart on the very same candle.
3. Signal Strength Calculation
The percentage shown on the chart is a Signal Strength Score (0-100%), which rates the quality and conviction of the confirmed signal.
The score is calculated as follows:
Base Score Calculation (0-100 points): A base score is calculated for each market (primary and CME) by combining two factors:
Volume Component (0-50 pts): Measures the intensity of the volume spike. A 300% volume spike will score higher than a 150% spike.
Imbalance Component (0-50 pts): Measures the intensity of the buy/sell pressure ratio. A 5x imbalance will score higher than a 3x imbalance.
Advanced Modifiers (Bonus Points): The base score is then enhanced with bonus points for favorable conditions:
Trend Alignment (+10 pts): A buy signal that occurs during a clear uptrend receives extra points.
Candle Structure (+10 pts): A buy signal on a candle with a long lower wick (indicating rejection of lower prices) receives extra points.
Final Averaged Score: The final percentage you see is the average of the two individual strength scores calculated for the primary exchange and the CME market.
4. Visualization
Energy Waves: Signals are displayed as circles. Green for Buy Signals (below the candle) and Red for Sell Signals (above the candle).
Dynamic Sizing: The size of the circle directly reflects the Signal Strength Score, categorized into four distinct levels (e.g., 10%+, 40%+, 60%+, and 80%+) for at-a-glance interpretation.
Percentage Labels: Each signal is plotted with its precise, final strength score for clear analysis.
5. Summary: Steps to Replicate the Logic
To recreate this indicator, follow these high-level steps for each candle on the chart:
Gather Data: Fetch the Open, High, Low, Close, and Volume data for the primary chart asset AND for the corresponding CME Bitcoin Futures symbol (CME:BTC1!).
Calculate Buy/Sell Pressure: For both datasets, use the "Smart Volume Analysis" formula to estimate the buying and selling pressure for the current candle.
Check for Volume Spikes: For both datasets, calculate a simple moving average of the volume. Check if the current candle's volume exceeds this average by a set threshold (e.g., 150%).
Check for Pressure Imbalance: For both datasets, check if the buying pressure is greater than the selling pressure by a set multiplier (e.g., 3.0), or vice versa.
Confirm the Signal: A final signal is only valid if the conditions from both Step 3 and Step 4 are true for both datasets on the same candle.
Calculate Strength: If a signal is confirmed, compute a strength score (0-100) for each dataset based on the intensity of the volume spike and pressure imbalance. Add bonus points for confluence factors like trend alignment.
Finalize and Plot: Average the two strength scores from each market. Plot a colored, sized circle on the chart that visually represents this final averaged score, and display the score as a text label.
Last but not least, the idea of the indicator is inspired by 52SIGNAL
Distância Preço vs VWAPIt calculates the distance from the price to the VWAP. The idea is to make it easier to observe when the price might return to the VWAP.
JokaBAR
This script combines my own liquidity/liq-levels engine with open-source code from BigBeluga’s Volumatic indicators:
• “Volumatic Variable Index Dynamic Average ”
• “Volumatic Support/Resistance Levels ”
The original code is published under the Mozilla Public License 2.0 and is reused here accordingly.
What this script does
Joka puts Volumatic trend logic, dynamic support/resistance and a custom liquidation-levels module into a single overlay. The idea is to give traders one clean view of trend direction, key reactive zones and potential liquidation areas where leveraged positions can be forced out of the market.
Volumatic logic is used to build a dynamic average and adaptive levels that react to volume and volatility. On top of that, the script plots configurable liquidation zones for different leverage tiers (e.g. 5x, 10x, 25x, 50x, 100x).
How to use it
Apply the script on pairs where leverage is actually used (perpetual futures / margin).
Use the Volumatic average as a trend filter (above = long bias, below = short bias).
Treat Volumatic support/resistance levels as key reaction zones for entries, partials and stops.
Read the liquidation levels as context: clusters show where forced liquidations can fuel strong moves and bounces.
Keep the chart clean — this tool is designed to be used without stacking extra indicators on top.
The script is published as open-source in line with TradingView House Rules so that other traders can study, tweak and build on it.
BTC ETF Flow Monitor🚀 Bitcoin ETF Flow Monitor - Track Institutional Money Flows
Monitor real-time dollar flows across major Bitcoin ETFs with this professional-grade indicator inspired by Dune Analytics. Perfect for tracking institutional sentiment and Bitcoin adoption trends.
📊 Key Features: • Real Dollar Flows : Display actual estimated flows in millions USD, not abstract indices
• 5 Major ETFs : IBIT (BlackRock), FBTC (Fidelity), ARKB (ARK), BITB (Bitwise), GBTC (Grayscale)
• Dune Analytics Style : Clean, professional visualization with meaningful thresholds
• Smart Alerts : Get notified of significant flow changes and BTC price divergences
• Enhanced Summary Table : Live stats including total flows, trends, and market sentiment
💡 How It Works: Combines volume, price action, and momentum to estimate institutional dollar flows. Positive values = inflows (buying pressure), negative values = outflows (selling pressure). Scale shows millions of USD for easy interpretation.
🎯 Perfect For:
- Tracking institutional Bitcoin adoption
- Identifying accumulation/distribution phases
- Spotting divergences between ETF flows and BTC price
- Understanding market sentiment shifts
⚡ Professional Grade: Built with advanced Pine Script techniques, optimized performance, and real-world trading applications in mind.
Luxy Super-Duper SuperTrend Predictor Engine and Buy/Sell signalA professional trend-following grading system that analyzes historical trend
patterns to provide statistical duration estimates using advanced similarity
matching and k-nearest neighbors analysis. Combines adaptive Supertrend with
intelligent duration statistics, multi-timeframe confluence, volume confirmation,
and quality scoring to identify high-probability setups with data-driven
target ranges across all timeframes.
Note: All duration estimates are statistical calculations based on historical data, not guarantees of future performance.
WHAT MAKES THIS DIFFERENT
Unlike traditional SuperTrend indicators that only tell you trend direction, this system answers the critical question: "What is the typical duration for trends like this?"
The Statistical Analysis Engine:
• Analyzes your chart's last 15+ completed SuperTrend trends (bullish and bearish separately)
• Uses k-nearest neighbors similarity matching to find historically similar setups
• Calculates statistical duration estimates based on current market conditions
• Learns from estimation errors and adapts over time (Advanced mode)
• Displays visual duration analysis box showing median, average, and range estimates
• Tracks Statistical accuracy with backtest statistics
Complete Trading System:
• Statistical trend duration analysis with three intelligence levels
• Adaptive Supertrend with dynamic ATR-based bands
• Multi-timeframe confluence analysis (6 timeframes: 5M to 1W)
• Volume confirmation with spike detection and momentum tracking
• Quality scoring system (0-70 points) rating each setup
• One-click preset optimization for all trading styles
• Anti-repaint guarantee on all signals and duration estimates
METHODOLOGY CREDITS
This indicator's approach is inspired by proven trading methodologies from respected market educators:
• Mark Minervini - Volatility Contraction Pattern (VCP) and pullback entry techniques
• William O'Neil - Volume confirmation principles and institutional buying patterns (CANSLIM methodology)
• Dan Zanger - Volatility expansion entries and momentum breakout strategies
Important: These are educational references only. This indicator does not guarantee any specific trading results. Always conduct your own analysis and risk management.
KEY FEATURES
1. TREND DURATION ANALYSIS SYSTEM - The Core Innovation
The statistical analysis engine is what sets this indicator apart from standard SuperTrend systems. It doesn't just identify trend changes - it provides statistical analysis of potential duration.
How It Works:
Step 1: Historical Tracking
• Automatically records every completed SuperTrend trend (duration in bars)
• Maintains separate databases for bullish trends and bearish trends
• Stores up to 15 most recent trends of each type
• Captures market conditions at each trend flip: volume ratio, ATR ratio, quality score, price distance from SuperTrend, proximity to support/resistance
Step 2: Similarity Matching (k-Nearest Neighbors)
• When new trend begins, system compares current conditions to ALL historical flips
• Calculates similarity score based on:
- Volume similarity (30% weight) - Is volume behaving similarly?
- Volatility similarity (30% weight) - Is ATR/volatility similar?
- Quality similarity (20% weight) - Is setup strength comparable?
- Distance similarity (10% weight) - Is price distance from ST similar?
- Support/Resistance proximity (10% weight) - Similar structural context?
• Selects the 15 MOST SIMILAR historical trends (not just all trends)
• This is like asking: "When conditions looked like this before, how long did trends last?"
Step 3: Statistical Analysis
• Calculates median duration (most common outcome)
• Calculates average duration (mean of similar trends)
• Determines realistic range (min to max of similar trends)
• Applies exponential weighting (recent trends weighted more heavily)
• Outputs confidence-weighted statistical estimate
Step 4: Advanced Intelligence (Advanced Mode Only)
The Advanced mode applies five sophisticated multipliers to refine estimates:
A) Market Structure Multiplier (±30%):
• Detects nearby support/resistance levels using pivot detection
• If flip occurs NEAR a key level: Estimate adjusted -30% (expect bounce/rejection)
• If flip occurs in open space: Estimate adjusted +30% (clear path for continuation)
• Uses configurable lookback period and ATR-based proximity threshold
B) Asset Type Multiplier (±40%):
• Adjusts duration estimates based on asset volatility characteristics
• Small Cap / Biotech: +40% (explosive, extended moves)
• Tech Growth: +20% (momentum-driven, longer trends)
• Blue Chip / Large Cap: 0% (baseline, steady trends)
• Dividend / Value: -20% (slower, grinding trends)
• Cyclical: Variable based on macro regime
• Crypto / High Volatility: +30% (parabolic potential)
C) Flip Strength Multiplier (±20%):
• Analyzes the QUALITY of the trend flip itself
• Strong flip (high volume + expanding ATR + quality score 60+): +20%
• Weak flip (low volume + contracting ATR + quality score under 40): -20%
• Logic: Historical data shows that powerful flips tend to be followed by longer trends
D) Error Learning Multiplier (±15%):
• Tracks Statistical accuracy over last 10 completed trends
• Calculates error ratio: (estimated duration / Actual Duration)
• If system consistently over-estimates: Apply -15% correction
• If system consistently under-estimates: Apply +15% correction
• Learns and adapts to current market regime
E) Regime Detection Multiplier (±20%):
• Analyzes last 3 trends of SAME TYPE (bull-to-bull or bear-to-bear)
• Compares recent trend durations to historical average
• If recent trends 20%+ longer than average: +20% adjustment (trending regime detected)
• If recent trends 20%+ shorter than average: -20% adjustment (choppy regime detected)
• Detects whether market is in trending or mean-reversion mode
Three analysis modes:
SIMPLE MODE - Basic Statistics
• Uses raw median of similar trends only
• No multipliers, no adjustments
• Best for: Beginners, clean trending markets
• Fastest calculations, minimal complexity
STANDARD MODE - Full Statistical Analysis
• Similarity matching with k-nearest neighbors
• Exponential weighting of recent trends
• Median, average, and range calculations
• Best for: Most traders, general market conditions
• Balance of accuracy and simplicity
ADVANCED MODE - Statistics + Intelligence
• Everything in Standard mode PLUS
• All 5 advanced multipliers (structure, asset type, flip strength, learning, regime)
• Highest Statistical accuracy in testing
• Best for: Experienced traders, volatile/complex markets
• Maximum intelligence, most adaptive
Visual Duration Analysis Box:
When a new trend begins (SuperTrend flip), a box appears on your chart showing:
• Analysis Mode (Simple / Standard / Advanced)
• Number of historical trends analyzed
• Median expected duration (most likely outcome)
• Average expected duration (mean of similar trends)
• Range (minimum to maximum from similar trends)
• Advanced multipliers breakdown (Advanced mode only)
• Backtest accuracy statistics (if available)
The box extends from the flip bar to the estimated endpoint based on historical data, giving you a visual target for trend duration. Box updates in real-time as trend progresses.
Backtest & Accuracy Tracking:
• System backtests its own duration estimates using historical data
• Shows accuracy metrics: how well duration estimates matched actual durations
• Tracks last 10 completed duration estimates separately
• Displays statistics in dashboard and duration analysis boxes
• Helps you understand statistical reliability on your specific symbol/timeframe
Anti-Repaint Guarantee:
• duration analysis boxes only appear AFTER bar close (barstate.isconfirmed)
• Historical duration estimates never disappear or change
• What you see in history is exactly what you would have seen real-time
• No future data leakage, no lookahead bias
2. INTELLIGENT PRESET CONFIGURATIONS - One-Click Optimization
Unlike indicators that require tedious parameter tweaking, this system includes professionally optimized presets for every trading style. Select your approach from the dropdown and ALL parameters auto-configure.
"AUTO (DETECT FROM TF)" - RECOMMENDED
The smartest option: automatically selects optimal settings based on your chart timeframe.
• 1m-5m charts → Scalping preset (ATR: 7, Mult: 2.0)
• 15m-1h charts → Day Trading preset (ATR: 10, Mult: 2.5)
• 2h-4h-D charts → Swing Trading preset (ATR: 14, Mult: 3.0)
• W-M charts → Position Trading preset (ATR: 21, Mult: 4.0)
Benefits:
• Zero configuration - works immediately
• Always matched to your timeframe
• Switch timeframe = automatic adjustment
• Perfect for traders who use multiple timeframes
"SCALPING (1-5M)" - Ultra-Fast Signals
Optimized for: 1-5 minute charts, high-frequency trading, quick profits
Target holding period: Minutes to 1-2 hours maximum
Best markets: High-volume stocks, major crypto pairs, active futures
Parameter Configuration:
• Supertrend: ATR 7, Multiplier 2.0 (very sensitive)
• Volume: MA 10, High 1.8x, Spike 3.0x (catches quick surges)
• Volume Momentum: AUTO-DISABLED (too restrictive for fast scalping)
• Quality minimum: 40 points (accepts more setups)
• Duration Analysis: Uses last 15 trends with heavy recent weighting
Trading Logic:
Speed over precision. Short ATR period and low multiplier create highly responsive SuperTrend. Volume momentum filter disabled to avoid missing fast moves. Quality threshold relaxed to catch more opportunities in rapid market conditions.
Signals per session: 5-15 typically
Hold time: Minutes to couple hours
Best for: Active traders with fast execution
"DAY TRADING (15M-1H)" - Balanced Approach
Optimized for: 15-minute to 1-hour charts, intraday moves, session-based trading
Target holding period: 30 minutes to 8 hours (within trading day)
Best markets: Large-cap stocks, major indices, established crypto
Parameter Configuration:
• Supertrend: ATR 10, Multiplier 2.5 (balanced)
• Volume: MA 20, High 1.5x, Spike 2.5x (standard detection)
• Volume Momentum: 5/20 periods (confirms intraday strength)
• Quality minimum: 50 points (good setups preferred)
• Duration Analysis: Balanced weighting of recent vs historical
Trading Logic:
The most balanced configuration. ATR 10 with multiplier 2.5 provides steady trend following that avoids noise while catching meaningful moves. Volume momentum confirms institutional participation without being overly restrictive.
Signals per session: 2-5 typically
Hold time: 30 minutes to full day
Best for: Part-time and full-time active traders
"SWING TRADING (4H-D)" - Trend Stability
Optimized for: 4-hour to Daily charts, multi-day holds, trend continuation
Target holding period: 2-15 days typically
Best markets: Growth stocks, sector ETFs, trending crypto, commodity futures
Parameter Configuration:
• Supertrend: ATR 14, Multiplier 3.0 (stable)
• Volume: MA 30, High 1.3x, Spike 2.2x (accumulation focus)
• Volume Momentum: 10/30 periods (trend stability)
• Quality minimum: 60 points (high-quality setups only)
• Duration Analysis: Favors consistent historical patterns
Trading Logic:
Designed for substantial trend moves while filtering short-term noise. Higher ATR period and multiplier create stable SuperTrend that won't flip on minor corrections. Stricter quality requirements ensure only strongest setups generate signals.
Signals per week: 2-5 typically
Hold time: Days to couple weeks
Best for: Part-time traders, swing style
"POSITION TRADING (D-W)" - Long-Term Trends
Optimized for: Daily to Weekly charts, major trend changes, portfolio allocation
Target holding period: Weeks to months
Best markets: Blue-chip stocks, major indices, established cryptocurrencies
Parameter Configuration:
• Supertrend: ATR 21, Multiplier 4.0 (very stable)
• Volume: MA 50, High 1.2x, Spike 2.0x (long-term accumulation)
• Volume Momentum: 20/50 periods (major trend confirmation)
• Quality minimum: 70 points (excellent setups only)
• Duration Analysis: Heavy emphasis on multi-year historical data
Trading Logic:
Conservative approach focusing on major trend changes. Extended ATR period and high multiplier create SuperTrend that only flips on significant reversals. Very strict quality filters ensure signals represent genuine long-term opportunities.
Signals per month: 1-2 typically
Hold time: Weeks to months
Best for: Long-term investors, set-and-forget approach
"CUSTOM" - Advanced Configuration
Purpose: Complete manual control for experienced traders
Use when: You understand the parameters and want specific optimization
Best for: Testing new approaches, unusual market conditions, specific instruments
Full control over:
• All SuperTrend parameters
• Volume thresholds and momentum periods
• Quality scoring weights
• analysis mode and multipliers
• Advanced features tuning
Preset Comparison Quick Reference:
Chart Timeframe: Scalping (1M-5M) | Day Trading (15M-1H) | Swing (4H-D) | Position (D-W)
Signals Frequency: Very High | High | Medium | Low
Hold Duration: Minutes | Hours | Days | Weeks-Months
Quality Threshold: 40 pts | 50 pts | 60 pts | 70 pts
ATR Sensitivity: Highest | Medium | Lower | Lowest
Time Investment: Highest | High | Medium | Lowest
Experience Level: Expert | Advanced | Intermediate | Beginner+
3. QUALITY SCORING SYSTEM (0-70 Points)
Every signal is rated in real-time across three dimensions:
Volume Confirmation (0-30 points):
• Volume Spike (2.5x+ average): 30 points
• High Volume (1.5x+ average): 20 points
• Above Average (1.0x+ average): 10 points
• Below Average: 0 points
Volatility Assessment (0-30 points):
• Expanding ATR (1.2x+ average): 30 points
• Rising ATR (1.0-1.2x average): 15 points
• Contracting/Stable ATR: 0 points
Volume Momentum (0-10 points):
• Strong Momentum (1.2x+ ratio): 10 points
• Rising Momentum (1.0-1.2x ratio): 5 points
• Weak/Neutral Momentum: 0 points
Score Interpretation:
60-70 points - EXCELLENT:
• All factors aligned
• High conviction setup
• Maximum position size (within risk limits)
• Primary trading opportunities
45-59 points - STRONG:
• Multiple confirmations present
• Above-average setup quality
• Standard position size
• Good trading opportunities
30-44 points - GOOD:
• Basic confirmations met
• Acceptable setup quality
• Reduced position size
• Wait for additional confirmation or trade smaller
Below 30 points - WEAK:
• Minimal confirmations
• Low probability setup
• Consider passing
• Only for aggressive traders in strong trends
Only signals meeting your minimum quality threshold (configurable per preset) generate alerts and labels.
4. MULTI-TIMEFRAME CONFLUENCE ANALYSIS
The system can simultaneously analyze trend alignment across 6 timeframes (optional feature):
Timeframes analyzed:
• 5-minute (scalping context)
• 15-minute (intraday momentum)
• 1-hour (day trading bias)
• 4-hour (swing context)
• Daily (primary trend)
• Weekly (macro trend)
Confluence Interpretation:
• 5-6/6 aligned - Very strong multi-timeframe agreement (highest confidence)
• 3-4/6 aligned - Moderate agreement (standard setup)
• 1-2/6 aligned - Weak agreement (caution advised)
Dashboard shows real-time alignment count with color-coding. Higher confluence typically correlates with longer, stronger trends.
5. VOLUME MOMENTUM FILTER - Institutional Money Flow
Unlike traditional volume indicators that just measure size, Volume Momentum tracks the RATE OF CHANGE in volume:
How it works:
• Compares short-term volume average (fast period) to long-term average (slow period)
• Ratio above 1.0 = Volume accelerating (money flowing IN)
• Ratio above 1.2 = Strong acceleration (institutional participation likely)
• Ratio below 0.8 = Volume decelerating (money flowing OUT)
Why it matters:
• Confirms trend with actual money flow, not just price
• Leading indicator (volume often leads price)
• Catches accumulation/distribution before breakouts
• More intuitive than complex mathematical filters
Integration with signals:
• Optional filter - can be enabled/disabled per preset
• When enabled: Only signals with rising volume momentum fire
• AUTO-DISABLED in Scalping mode (too restrictive for fast trading)
• Configurable fast/slow periods per trading style
6. ADAPTIVE SUPERTREND MULTIPLIER
Traditional SuperTrend uses fixed ATR multiplier. This system dynamically adjusts the multiplier (0.8x to 1.2x base) based on:
• Trend Strength: Price correlation over lookback period
• Volume Weight: Current volume relative to average
Benefits:
• Tighter bands in calm markets (less premature exits)
• Wider bands in volatile conditions (avoids whipsaws)
• Better adaptation to biotech, small-cap, and crypto volatility
• Optional - can be disabled for classic constant multiplier
7. VISUAL GRADIENT RIBBON
26-layer exponential gradient fill between price and SuperTrend line provides instant visual trend strength assessment:
Color System:
• Green shades - Bullish trend + volume confirmation (strongest)
• Blue shades - Bullish trend, normal volume
• Orange shades - Bearish trend + volume confirmation
• Red shades - Bearish trend (weakest)
Opacity varies based on:
• Distance from SuperTrend (farther = more opaque)
• Volume intensity (higher volume = stronger color)
The ribbon provides at-a-glance trend strength without cluttering your chart. Can be toggled on/off.
8. INTELLIGENT ALERT SYSTEM
Two-tier alert architecture for flexibility:
Automatic Alerts:
• Fire automatically on BUY and SELL signals
• Include full context: quality score, volume state, volume momentum
• One alert per bar close (alert.freq_once_per_bar_close)
• Message format: "BUY: Supertrend bullish + Quality: 65/70 | Volume: HIGH | Vol Momentum: STRONG (1.35x)"
Customizable Alert Conditions:
• Appear in TradingView's "Create Alert" dialog
• Three options: BUY Signal Only, SELL Signal Only, ANY Signal (BUY or SELL)
• Use TradingView placeholders: {{ticker}}, {{interval}}, {{close}}, {{time}}
• Fully customizable message templates
All alerts use barstate.isconfirmed - Zero repaint guarantee.
9. ANTI-REPAINT ARCHITECTURE
Every component guaranteed non-repainting:
• Entry signals: Only appear after bar close
• duration analysis boxes: Created only on confirmed SuperTrend flips
• Informative labels: Wait for bar confirmation
• Alerts: Fire once per closed bar
• Multi-timeframe data: Uses lookahead=barmerge.lookahead_off
What you see in history is exactly what you would have seen in real-time. No disappearing signals, no changed duration estimates.
HOW TO USE THE INDICATOR
QUICK START - 3 Steps to Trading:
Step 1: Select Your Trading Style
Open indicator settings → "Quick Setup" section → Trading Style Preset dropdown
Options:
• Auto (Detect from TF) - RECOMMENDED: Automatically configures based on your chart timeframe
• Scalping (1-5m) - For 1-5 minute charts, ultra-fast signals
• Day Trading (15m-1h) - For 15m-1h charts, balanced approach
• Swing Trading (4h-D) - For 4h-Daily charts, trend stability
• Position Trading (D-W) - For Daily-Weekly charts, long-term trends
• Custom - Manual configuration (advanced users only)
Choose "Auto" and you're done - all parameters optimize automatically.
Step 2: Understand the Signals
BUY Signal (Green Triangle Below Price):
• SuperTrend flipped bullish
• Quality score meets minimum threshold (varies by preset)
• Volume confirmation present (if filter enabled)
• Volume momentum rising (if filter enabled)
• duration analysis box shows expected trend duration
SELL Signal (Red Triangle Above Price):
• SuperTrend flipped bearish
• Quality score meets minimum threshold
• Volume confirmation present (if filter enabled)
• Volume momentum rising (if filter enabled)
• duration analysis box shows expected trend duration
Duration Analysis Box:
• Appears at SuperTrend flip (start of new trend)
• Shows median, average, and range duration estimates
• Extends to estimated endpoint based on historical data visually
• Updates mode-specific intelligence (Simple/Standard/Advanced)
Step 3: Use the Dashboard for Context
Dashboard (top-right corner) shows real-time metrics:
• Row 1 - Quality Score: Current setup rating (0-70)
• Row 2 - SuperTrend: Direction and current level
• Row 3 - Volume: Status (Spike/High/Normal/Low) with color
• Row 4 - Volatility: State (Expanding/Rising/Stable/Contracting)
• Row 5 - Volume Momentum: Ratio and trend
• Row 6 - Duration Statistics: Accuracy metrics and track record
Every cell has detailed tooltip - hover for full explanations.
SIGNAL INTERPRETATION BY QUALITY SCORE:
Excellent Setup (60-70 points):
• Quality Score: 60-70
• Volume: Spike or High
• Volatility: Expanding
• Volume Momentum: Strong (1.2x+)
• MTF Confluence (if enabled): 5-6/6
• Action: Primary trade - maximum position size (within risk limits)
• Statistical reliability: Highest - duration estimates most accurate
Strong Setup (45-59 points):
• Quality Score: 45-59
• Volume: High or Above Average
• Volatility: Rising
• Volume Momentum: Rising (1.0-1.2x)
• MTF Confluence (if enabled): 3-4/6
• Action: Standard trade - normal position size
• Statistical reliability: Good - duration estimates reliable
Good Setup (30-44 points):
• Quality Score: 30-44
• Volume: Above Average
• Volatility: Stable or Rising
• Volume Momentum: Neutral to Rising
• MTF Confluence (if enabled): 3-4/6
• Action: Cautious trade - reduced position size, wait for additional confirmation
• Statistical reliability: Moderate - duration estimates less certain
Weak Setup (Below 30 points):
• Quality Score: Below 30
• Volume: Low or Normal
• Volatility: Contracting or Stable
• Volume Momentum: Weak
• MTF Confluence (if enabled): 1-2/6
• Action: Pass or wait for improvement
• Statistical reliability: Low - duration estimates unreliable
USING duration analysis boxES FOR TRADE MANAGEMENT:
Entry Timing:
• Enter on SuperTrend flip (signal bar close)
• duration analysis box appears simultaneously
• Note the median duration - this is your expected hold time
Profit Targets:
• Conservative: Use MEDIAN duration as profit target (50% probability)
• Moderate: Use AVERAGE duration (mean of similar trends)
• Aggressive: Aim for MAX duration from range (best historical outcome)
Position Management:
• Scale out at median duration (take partial profits)
• Trail stop as trend extends beyond median
• Full exit at average duration or SuperTrend flip (whichever comes first)
• Re-evaluate if trend exceeds estimated range
analysis mode Selection:
• Simple: Clean trending markets, beginners, minimal complexity
• Standard: Most markets, most traders (recommended default)
• Advanced: Volatile markets, complex instruments, experienced traders seeking highest accuracy
Asset Type Configuration (Advanced Mode):
If using Advanced analysis mode, configure Asset Type for optimal accuracy:
• Small Cap: Stocks under $2B market cap, low liquidity
• Biotech / Speculative: Clinical-stage pharma, penny stocks, high-risk
• Blue Chip / Large Cap: S&P 500, mega-cap tech, stable large companies
• Tech Growth: High-growth tech (TSLA, NVDA, growth SaaS)
• Dividend / Value: Dividend aristocrats, value stocks, utilities
• Cyclical: Energy, materials, industrials (macro-driven)
• Crypto / High Volatility: Bitcoin, altcoins, highly volatile assets
Correct asset type selection improves Statistical accuracy by 15-20%.
RISK MANAGEMENT GUIDELINES:
1. Stop Loss Placement:
Long positions:
• Place stop below recent swing low OR
• Place stop below SuperTrend level (whichever is tighter)
• Use 1-2 ATR distance as guideline
• Recommended: SuperTrend level (built-in volatility adjustment)
Short positions:
• Place stop above recent swing high OR
• Place stop above SuperTrend level (whichever is tighter)
• Use 1-2 ATR distance as guideline
• Recommended: SuperTrend level
2. Position Sizing by Quality Score:
• Excellent (60-70): Maximum position size (2% risk per trade)
• Strong (45-59): Standard position size (1.5% risk per trade)
• Good (30-44): Reduced position size (1% risk per trade)
• Weak (Below 30): Pass or micro position (0.5% risk - learning trades only)
3. Exit Strategy Options:
Option A - Statistical Duration-Based Exit:
• Exit at median estimated duration (conservative)
• Exit at average estimated duration (moderate)
• Trail stop beyond average duration (aggressive)
Option B - Signal-Based Exit:
• Exit on opposite signal (SELL after BUY, or vice versa)
• Exit on SuperTrend flip (trend reversal)
• Exit if quality score drops below 30 mid-trend
Option C - Hybrid (Recommended):
• Take 50% profit at median estimated duration
• Trail stop on remaining 50% using SuperTrend as trailing level
• Full exit on SuperTrend flip or quality collapse
4. Trade Filtering:
For higher win-rate (fewer trades, better quality):
• Increase minimum quality score (try 60 for swing, 50 for day trading)
• Enable volume momentum filter (ensure institutional participation)
• Require higher MTF confluence (5-6/6 alignment)
• Use Advanced analysis mode with appropriate asset type
For more opportunities (more trades, lower quality threshold):
• Decrease minimum quality score (40 for day trading, 35 for scalping)
• Disable volume momentum filter
• Lower MTF confluence requirement
• Use Simple or Standard analysis mode
SETTINGS OVERVIEW
Quick Setup Section:
• Trading Style Preset: Auto / Scalping / Day Trading / Swing / Position / Custom
Dashboard & Display:
• Show Dashboard (ON/OFF)
• Dashboard Position (9 options: Top/Middle/Bottom + Left/Center/Right)
• Text Size (Auto/Tiny/Small/Normal/Large/Huge)
• Show Ribbon Fill (ON/OFF)
• Show SuperTrend Line (ON/OFF)
• Bullish Color (default: Green)
• Bearish Color (default: Red)
• Show Entry Labels - BUY/SELL signals (ON/OFF)
• Show Info Labels - Volume events (ON/OFF)
• Label Size (Auto/Tiny/Small/Normal/Large/Huge)
Supertrend Configuration:
• ATR Length (default varies by preset: 7-21)
• ATR Multiplier Base (default varies by preset: 2.0-4.0)
• Use Adaptive Multiplier (ON/OFF) - Dynamic 0.8x-1.2x adjustment
• Smoothing Factor (0.0-0.5) - EMA smoothing applied to bands
• Neutral Bars After Flip (0-10) - Hide ST immediately after flip
Volume Momentum:
• Enable Volume Momentum Filter (ON/OFF)
• Fast Period (default varies by preset: 3-20)
• Slow Period (default varies by preset: 10-50)
Volume Analysis:
• Volume MA Length (default varies by preset: 10-50)
• High Volume Threshold (default: 1.5x)
• Spike Threshold (default: 2.5x)
• Low Volume Threshold (default: 0.7x)
Quality Filters:
• Minimum Quality Score (0-70, varies by preset)
• Require Volume Confirmation (ON/OFF)
Trend Duration Analysis:
• Show Duration Analysis (ON/OFF) - Display duration analysis boxes
• analysis mode - Simple / Standard / Advanced
• Asset Type - 7 options (Small Cap, Biotech, Blue Chip, Tech Growth, Dividend, Cyclical, Crypto)
• Use Exponential Weighting (ON/OFF) - Recent trends weighted more
• Decay Factor (0.5-0.99) - How much more recent trends matter
• Structure Lookback (3-30) - Pivot detection period for support/resistance
• Proximity Threshold (xATR) - How close to level qualifies as "near"
• Enable Error Learning (ON/OFF) - System learns from estimation errors
• Memory Depth (3-20) - How many past errors to remember
Box Visual Settings:
• duration analysis box Border Color
• duration analysis box Background Color
• duration analysis box Text Color
• duration analysis box Border Width
• duration analysis box Transparency
Multi-Timeframe (Optional Feature):
• Enable MTF Confluence (ON/OFF)
• Minimum Alignment Required (0-6)
• Individual timeframe enable/disable toggles
• Custom timeframe selection options
All preset configurations override manual inputs except when "Custom" is selected.
ADVANCED FEATURES
1. Scalpel Mode (Optional)
Advanced pullback entry system that waits for healthy retracements within established trends before signaling entry:
• Monitors price distance from SuperTrend levels
• Requires pullback to configurable range (default: 30-50%)
• Ensures trend remains intact before entry signal
• Reduces whipsaw and false breakouts
• Inspired by Mark Minervini's VCP pullback entries
Best for: Swing traders and day traders seeking precision entries
Scalpers: Consider disabling for faster entries
2. Error Learning System (Advanced analysis mode Only)
The system learns from its own estimation errors:
• Tracks last 10-20 completed duration estimates (configurable memory depth)
• Calculates error ratio for each: estimated duration / Actual Duration
• If system consistently over-estimates: Applies negative correction (-15%)
• If system consistently under-estimates: Applies positive correction (+15%)
• Adapts to current market regime automatically
This self-correction mechanism improves accuracy over time as the system gathers more data on your specific symbol and timeframe.
3. Regime Detection (Advanced analysis mode Only)
Automatically detects whether market is in trending or choppy regime:
• Compares last 3 trends to historical average
• Recent trends 20%+ longer → Trending regime (+20% to estimates)
• Recent trends 20%+ shorter → Choppy regime (-20% to estimates)
• Applied separately to bullish and bearish trends
Helps duration estimates adapt to changing market conditions without manual intervention.
4. Exponential Weighting
Option to weight recent trends more heavily than distant history:
• Default decay factor: 0.9
• Recent trends get higher weight in statistical calculations
• Older trends gradually decay in importance
• Rationale: Recent market behavior more relevant than old data
• Can be disabled for equal weighting
5. Backtest Statistics
System backtests its own duration estimates using historical data:
• Walks through past trends chronologically
• Calculates what duration estimate WOULD have been at each flip
• Compares to actual duration that occurred
• Displays accuracy metrics in duration analysis boxes and dashboard
• Helps assess statistical reliability on your specific chart
Note: Backtest uses only data available AT THE TIME of each historical flip (no lookahead bias).
TECHNICAL SPECIFICATIONS
• Pine Script Version: v6
• Indicator Type: Overlay (draws on price chart)
• Max Boxes: 500 (for duration analysis box storage)
• Max Bars Back: 5000 (for comprehensive historical analysis)
• Security Calls: 1 (for MTF if enabled - optimized)
• Repainting: NO - All signals and duration estimates confirmed on bar close
• Lookahead Bias: NO - All HTF data properly offset, all duration estimates use only historical data
• Real-time Updates: YES - Dashboard and quality scores update live
• Alert Capable: YES - Both automatic alerts and customizable alert conditions
• Multi-Symbol: Works on stocks, crypto, forex, futures, indices
Performance Optimization:
• Conditional calculations (duration analysis can be disabled to reduce load)
• Efficient array management (circular buffers for trend storage)
• Streamlined gradient rendering (26 layers, can be toggled off)
• Smart label cooldown system (prevents label spam)
• Optimized similarity matching (analyzes only relevant trends)
Data Requirements:
• Minimum 50-100 bars for initial duration analysis (builds historical database)
• Optimal: 500+ bars for robust statistical analysis
• Longer history = more accurate duration estimates
• Works on any timeframe from 1 minute to monthly
KNOWN LIMITATIONS
• Trending Markets Only: Performs best in clear trends. May generate false signals in choppy/sideways markets (use quality score filtering and regime detection to mitigate)
• Lagging Nature: Like all trend-following systems, signals occur AFTER trend establishment, not at exact tops/bottoms. Use duration analysis boxes to set realistic profit targets.
• Initial Learning Period: Duration analysis system requires 10-15 completed trends to build reliable historical database. Early duration estimates less accurate (first few weeks on new symbol/timeframe).
• Visual Load: 26-layer gradient ribbon may slow performance on older devices. Disable ribbon if experiencing lag.
• Statistical accuracy Variables: Duration estimates are statistical estimates, not guarantees. Accuracy varies by:
- Market regime (trending vs choppy)
- Asset volatility characteristics
- Quality of historical pattern matches
- Timeframe traded (higher TF = more reliable)
• Not Best Suitable For:
- Ultra-short-term scalping (sub-1-minute charts)
- Mean-reversion strategies (designed for trend-following)
- Range-bound trading (requires trending conditions)
- News-driven spikes (estimates based on technical patterns, not fundamentals)
FREQUENTLY ASKED QUESTIONS
Q: Does this indicator repaint?
A: Absolutely not. All signals, duration analysis boxes, labels, and alerts use barstate.isconfirmed checks. They only appear after the bar closes. What you see in history is exactly what you would have seen in real-time. Zero repaint guarantee.
Q: How accurate are the trend duration estimates?
A: Accuracy varies by mode, market conditions, and historical data quality:
• Simple mode: 60-70% accuracy (within ±20% of actual duration)
• Standard mode: 70-80% accuracy (within ±20% of actual duration)
• Advanced mode: 75-85% accuracy (within ±20% of actual duration)
Best accuracy achieved on:
• Higher timeframes (4H, Daily, Weekly)
• Trending markets (not choppy/sideways)
• Assets with consistent behavior (Blue Chip, Large Cap)
• After 20+ historical trends analyzed (builds robust database)
Remember: All duration estimates are statistical calculations based on historical patterns, not guarantees.
Q: Which analysis mode should I use?
A:
• Simple: Beginners, clean trending markets, want minimal complexity
• Standard: Most traders, general market conditions (RECOMMENDED DEFAULT)
• Advanced: Experienced traders, volatile/complex markets (biotech, small-cap, crypto), seeking maximum accuracy
Advanced mode requires correct Asset Type configuration for optimal results.
Q: What's the difference between the trading style presets?
A: Each preset optimizes ALL parameters for a specific trading approach:
• Scalping: Ultra-sensitive (ATR 7, Mult 2.0), more signals, shorter holds
• Day Trading: Balanced (ATR 10, Mult 2.5), moderate signals, intraday holds
• Swing Trading: Stable (ATR 14, Mult 3.0), fewer signals, multi-day holds
• Position Trading: Very stable (ATR 21, Mult 4.0), rare signals, week/month holds
Auto mode automatically selects based on your chart timeframe.
Q: Should I use Auto mode or manually select a preset?
A: Auto mode is recommended for most traders. It automatically matches settings to your timeframe and re-optimizes if you switch charts. Only use manual preset selection if:
• You want scalping settings on a 15m chart (overriding auto-detection)
• You want swing settings on a 1h chart (more conservative than auto would give)
• You're testing different approaches on same timeframe
Q: Can I use this for scalping and day trading?
A: Absolutely! The preset system is specifically designed for all trading styles:
• Select "Scalping (1-5m)" for 1-5 minute charts
• Select "Day Trading (15m-1h)" for 15m-1h charts
• Or use "Auto" mode and it configures automatically
Volume momentum filter is auto-disabled in Scalping mode for faster signals.
Q: What is Volume Momentum and why does it matter?
A: Volume Momentum compares short-term volume (fast MA) to long-term volume (slow MA). It answers: "Is money flowing into this asset faster now than historically?"
Why it matters:
• Volume often leads price (early warning system)
• Confirms institutional participation (smart money)
• No lag like price-based indicators
• More intuitive than complex mathematical filters
When the ratio is above 1.2, you have strong evidence that institutions are accumulating (bullish) or distributing (bearish).
Q: How do I set up alerts?
A: Two options:
Option 1 - Automatic Alerts:
1. Right-click on chart → Add Alert
2. Condition: Select this indicator
3. Choose "Any alert() function call"
4. Configure notification method (app, email, webhook)
5. You'll receive detailed alerts on every BUY and SELL signal
Option 2 - Customizable Alert Conditions:
1. Right-click on chart → Add Alert
2. Condition: Select this indicator
3. You'll see three options in dropdown:
- "BUY Signal" (long signals only)
- "SELL Signal" (short signals only)
- "ANY Signal" (both BUY and SELL)
4. Choose desired option and customize message template
5. Uses TradingView placeholders: {{ticker}}, {{close}}, {{time}}, etc.
All alerts fire only on confirmed bar close (no repaint).
Q: What is Scalpel Mode and should I use it?
A: Scalpel Mode waits for healthy pullbacks within established trends before signaling entry. It reduces whipsaws and improves entry timing.
Recommended ON for:
• Swing traders (want precision entries on pullbacks)
• Day traders (willing to wait for better prices)
• Risk-averse traders (prefer fewer but higher-quality entries)
Recommended OFF for:
• Scalpers (need immediate entries, can't wait for pullbacks)
• Momentum traders (want to enter on breakout, not pullback)
• Aggressive traders (prefer more opportunities over precision)
Q: Why do some duration estimates show wider ranges than others?
A: Range width reflects historical trend variability:
• Narrow range: Similar historical trends had consistent durations (high confidence)
• Wide range: Similar historical trends had varying durations (lower confidence)
Wide ranges often occur:
• Early in analysis (fewer historical trends to learn from)
• In volatile/choppy markets (inconsistent trend behavior)
• On lower timeframes (more noise, less consistency)
The median and average still provide useful targets even when range is wide.
Q: Can I customize the dashboard position and appearance?
A: Yes! Dashboard settings include:
• Position: 9 options (Top/Middle/Bottom + Left/Center/Right)
• Text Size: Auto, Tiny, Small, Normal, Large, Huge
• Show/Hide: Toggle entire dashboard on/off
Choose position that doesn't overlap important price action on your specific chart.
Q: Which timeframe should I trade on?
A: Depends on your trading style and time availability:
• 1-5 minute: Active scalping, requires constant monitoring
• 15m-1h: Day trading, check few times per session
• 4h-Daily: Swing trading, check once or twice daily
• Daily-Weekly: Position trading, check weekly
General principle: Higher timeframes produce:
• Fewer signals (less frequent)
• Higher quality setups (stronger confirmations)
• More reliable duration estimates (better statistical data)
• Less noise (clearer trends)
Start with Daily chart if new to trading. Move to lower timeframes as you gain experience.
Q: Does this work on all markets (stocks, crypto, forex)?
A: Yes, it works on all markets with trending characteristics:
Excellent for:
• Stocks (especially growth and momentum names)
• Crypto (BTC, ETH, major altcoins)
• Futures (indices, commodities)
• Forex majors (EUR/USD, GBP/USD, etc.)
Best results on:
• Trending markets (not range-bound)
• Liquid instruments (tight spreads, good fills)
• Volatile assets (clear trend development)
Less effective on:
• Range-bound/sideways markets
• Ultra-low volatility instruments
• Illiquid small-caps (use caution)
Configure Asset Type (in Advanced analysis mode) to match your instrument for best accuracy.
Q: How many signals should I expect per day/week?
A: Highly variable based on:
By Timeframe:
• 1-5 minute: 5-15 signals per session
• 15m-1h: 2-5 signals per day
• 4h-Daily: 2-5 signals per week
• Daily-Weekly: 1-2 signals per month
By Market Volatility:
• High volatility = more SuperTrend flips = more signals
• Low volatility = fewer flips = fewer signals
By Quality Filter:
• Higher threshold (60-70) = fewer but better signals
• Lower threshold (30-40) = more signals, lower quality
By Volume Momentum Filter:
• Enabled = Fewer signals (only volume-confirmed)
• Disabled = More signals (all SuperTrend flips)
Adjust quality threshold and filters to match your desired signal frequency.
Q: What's the difference between entry labels and info labels?
A:
Entry Labels (BUY/SELL):
• Your primary trading signals
• Based on SuperTrend flip + all confirmations (quality, volume, momentum)
• Include quality score and confirmation icons
• These are actionable entry points
Info Labels (Volume Spike):
• Additional market context
• Show volume events that may support or contradict trend
• 8-bar cooldown to prevent spam
• NOT necessarily entry points - contextual information only
Control separately: Can show entry labels without info labels (recommended for clean charts).
Q: Can I combine this with other indicators?
A: Absolutely! This works well with:
• RSI: For divergences and overbought/oversold conditions
• Support/Resistance: Confluence with key levels
• Fibonacci Retracements: Pullback targets in Scalpel Mode
• Price Action Patterns: Flags, pennants, cup-and-handle
• MACD: Additional momentum confirmation
• Bollinger Bands: Volatility context
This indicator provides trend direction and duration estimates - complement with other tools for entry refinement and additional confluence.
Q: Why did I get a low-quality signal? Can I filter them out?
A: Yes! Increase the Minimum Quality Score in settings.
If you're seeing signals with quality below your preference:
• Day Trading: Set minimum to 50
• Swing Trading: Set minimum to 60
• Position Trading: Set minimum to 70
Only signals meeting the threshold will appear. This reduces frequency but improves win-rate.
Q: How do I interpret the MTF Confluence count?
A: Shows how many of 6 timeframes agree with current trend:
• 6/6 aligned: Perfect agreement (extremely rare, highest confidence)
• 5/6 aligned: Very strong alignment (high confidence)
• 4/6 aligned: Good alignment (standard quality setup)
• 3/6 aligned: Moderate alignment (acceptable)
• 2/6 aligned: Weak alignment (caution)
• 1/6 aligned: Very weak (likely counter-trend)
Higher confluence typically correlates with longer, stronger trends. However, MTF analysis is optional - you can disable it and rely solely on quality scoring.
Q: Is this suitable for beginners?
A: Yes, but requires foundational knowledge:
You should understand:
• Basic trend-following concepts (higher highs, higher lows)
• Risk management principles (position sizing, stop losses)
• How to read candlestick charts
• What volume and volatility mean
Beginner-friendly features:
• Auto preset mode (zero configuration)
• Quality scoring (tells you signal strength)
• Dashboard tooltips (hover for explanations)
• duration analysis boxes (visual profit targets)
Recommended for beginners:
1. Start with "Auto" or "Swing Trading" preset on Daily chart
2. Use Standard Analysis Mode (not Advanced)
3. Set minimum quality to 60 (fewer but better signals)
4. Paper trade first for 2-4 weeks
5. Study methodology references (Minervini, O'Neil, Zanger)
Q: What is the Asset Type setting and why does it matter?
A: Asset Type (in Advanced analysis mode) adjusts duration estimates based on volatility characteristics:
• Small Cap: Explosive moves, extended trends (+30-40%)
• Biotech / Speculative: Parabolic potential, news-driven (+40%)
• Blue Chip / Large Cap: Baseline, steady trends (0% adjustment)
• Tech Growth: Momentum-driven, longer trends (+20%)
• Dividend / Value: Slower, grinding trends (-20%)
• Cyclical: Macro-driven, variable (±10%)
• Crypto / High Volatility: Parabolic potential (+30%)
Correct configuration improves Statistical accuracy by 15-20%. Using Blue Chip settings on a biotech stock may underestimate trend length (you'll exit too early).
Q: Can I backtest this indicator?
A: Yes! TradingView's Strategy Tester works with this indicator's signals.
To backtest:
1. Note the entry conditions (SuperTrend flip + quality threshold + filters)
2. Create a strategy script using same logic
3. Run Strategy Tester on historical data
Additionally, the indicator includes BUILT-IN duration estimate validation:
• System backtests its own duration estimates
• Shows accuracy metrics in dashboard and duration analysis boxes
• Helps assess reliability on your specific symbol/timeframe
Q: Why does Volume Momentum auto-disable in Scalping mode?
A: Scalping requires ultra-fast entries to catch quick moves. Volume Momentum filter adds friction by requiring volume confirmation before signaling, which can cause missed opportunities in rapid scalping.
Scalping preset is optimized for speed and frequency - the filter is counterproductive for that style. It remains enabled for Day Trading, Swing Trading, and Position Trading presets where patience improves results.
You can manually enable it in Custom mode if desired.
Q: How much historical data do I need for accurate duration estimates?
A:
Minimum: 50-100 bars (indicator will function but duration estimates less reliable)
Recommended: 500+ bars (robust statistical database)
Optimal: 1000+ bars (maximum Statistical accuracy)
More history = more completed trends = better pattern matching = more accurate duration estimates.
New symbols or newly-switched timeframes will have lower Statistical accuracy initially. Allow 2-4 weeks for the system to build historical database.
IMPORTANT DISCLAIMERS
No Guarantee of Profit:
This indicator is an educational tool and does not guarantee any specific trading results. All trading involves substantial risk of loss. Duration estimates are statistical calculations based on historical patterns and are not guarantees of future performance.
Past Performance:
Historical backtest results and Statistical accuracy statistics do not guarantee future performance. Market conditions change constantly. What worked historically may not work in current or future markets.
Not Financial Advice:
This indicator provides technical analysis signals and statistical duration estimates only. It is not financial, investment, or trading advice. Always consult with a qualified financial advisor before making investment decisions.
Risk Warning:
Trading stocks, options, futures, forex, and cryptocurrencies involves significant risk. You can lose all of your invested capital. Never trade with money you cannot afford to lose. Only risk capital you can lose without affecting your lifestyle.
Testing Required:
Always test this indicator on a demo account or with paper trading before risking real capital. Understand how it works in different market conditions. Verify Statistical accuracy on your specific instruments and timeframes before trusting it with real money.
User Responsibility:
You are solely responsible for your trading decisions. The developer assumes no liability for trading losses, incorrect duration estimates, software errors, or any other damages incurred while using this indicator.
Statistical Estimation Limitations:
Trend Duration estimates are statistical estimates based on historical pattern matching. They are NOT guarantees. Actual trend durations may differ significantly from duration estimates due to unforeseen news events, market regime changes, or lack of historical precedent for current conditions.
CREDITS & ACKNOWLEDGMENTS
Methodology Inspiration:
• Mark Minervini - Volatility Contraction Pattern (VCP) concepts and pullback entry techniques
• William O'Neil - Volume analysis principles and CANSLIM institutional buying patterns
• Dan Zanger - Momentum breakout strategies and volatility expansion entries
Technical Components:
• SuperTrend calculation - Classic ATR-based trend indicator (public domain)
• Statistical analysis - Standard median, average, range calculations
• k-Nearest Neighbors - Classic machine learning similarity matching concept
• Multi-timeframe analysis - Standard request.security implementation in Pine Script
For questions, feedback, or support, please comment below or send a private message.
Happy Trading!
