Dynamic Swing Anchored VWAP (Zeiierman)█ Overview
Dynamic Swing Anchored VWAP (Zeiierman) is a price–volume tool that anchors VWAP at fresh swing highs/lows and then adapts its responsiveness as conditions change. Instead of one static VWAP that drifts away over time, this indicator re-anchors at meaningful structure points (swings). It computes a decayed, volume-weighted average that can speed up in volatile markets and slow down during quiet periods.
Blending swing structure with an adaptive VWAP engine creates a fair-value path that stays aligned with current price behavior, making retests, pullbacks, and mean reversion opportunities easier to spot and trade.
█ How It Works
⚪ Swing Anchor Engine
The script scans for swing highs/lows using your Swing Period.
When market direction flips (new pivot confirmed), the indicator anchors a new VWAP at that pivot and starts tracking from there.
⚪ Adaptive VWAP Core
From each anchor , VWAP is computed using a decay model (recent price×volume matters more; older data matters less).
Adaptive Price Tracking lets you set the base responsiveness in “bars.” Lower = more reactive, higher = smoother.
Volatility Adjustment (ATR vs Avg ATR) can automatically speed up the VWAP during spikes and slow it during compression, so the line stays relevant to live conditions.
█ Why This Adaptive Approach Beats a Simple VWAP
Standard VWAP is cumulative from the anchor point. As time passes and volume accumulates, it often drifts far from current price, especially in prolonged trends or multi-session moves. That drift makes retests rare and unreliable.
Dynamic Swing Anchored VWAP solves this in two ways:
⚪ Event-Driven Anchoring (Swings):
By restarting at fresh swing highs/lows, the VWAP reference reflects today’s structure. You get frequent, meaningful retests because the anchor stays near the action.
⚪ Adaptive Responsiveness (Volatility-Aware):
Markets don’t move at one speed. When volatility expands, a fixed VWAP lags; when volatility contracts, it can overreact to noise. Here, the “tracking speed” can auto-adjust using ATR vs its average.
High Volatility → faster tracking: VWAP hugs price more tightly, preserving retest relevance.
Low Volatility → smoother tracking: VWAP filters chop and stays stable.
Result: A VWAP that follows price more accurately, creating plenty of credible retest opportunities and more trustworthy mean-reversion/continuation reads than a simple, ever-growing VWAP.
█ How to Use
⚪ S wing-Aware Fair Value
Use the VWAP as a dynamic fair-value guide that restarts at key structural pivots. Pullbacks to the VWAP after impulsive moves often provide retest entries.
⚪ Trend Trading
In trends, the adaptive VWAP will ride closer to price, offering continuation pullbacks.
█ Settings
Swing Period: Number of bars to confirm swing highs/lows. Larger = bigger, cleaner pivots (slower); smaller = more frequent pivots (noisier).
Adaptive Price Tracking: Sets the base reaction speed (in bars). Lower = faster, tighter to price; higher = smoother, slower.
Adapt APT by ATR ratio: When ON, the tracking speed auto-adjusts with market volatility (ATR vs its own average). High vol → faster; low vol → calmer.
Volatility Bias: Controls how strongly volatility affects the speed. >1 = stronger effect; <1 = lighter touch.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Göstergeler ve stratejiler
TMA Gagaman Indicator//@version=5
//author: mladen
//rebound arrows and TMA angle caution: Ale
//rewritten from MQL5 to Pine: Brylator
indicator("TMA Centered Bands Indicator", "TMA v1.0 Gaga", overlay = true, max_lines_count = 500, max_labels_count = 500)
//INPUTS
var GRP1 = "Parameters"
HalfLength = input.int(44, "Centered TMA half period", group = GRP1)
string PriceType = input.string("Weighted", "Price to use", options = , group = GRP1)
AtrPeriod = input.int(120, "Average true range period", group = GRP1)
AtrMultiplier = input.float(2, "Average true range multiplier", group = GRP1)
TMAangle = input.int(4, "Centered TMA angle caution", group = GRP1)
// APPEARANCE (เพิ่มตัวเลือกขนาดและข้อความ BUY/SELL)
var GRP4 = "Appearance"
arrowSizeOpt = input.string("Large", "Arrow size", options = , group = GRP4)
showBuySellText = input.bool(true, "Show BUY/SELL text on arrows", group = GRP4)
buyText = input.string("BUY", "Buy text", inline = "txt", group = GRP4)
sellText = input.string("SELL", "Sell text", inline = "txt", group = GRP4)
// map ขนาด
arrowSize = switch arrowSizeOpt
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
=> size.huge
//VARIABLES
float tmac = na
float tmau = na
float tmad = na
var float pastTmac = na //from the previous candle
var float pastTmau = na
var float pastTmad = na
float tmau_temp = na //before looping
float tmac_temp = na
float tmad_temp = na
float point = syminfo.pointvalue //NEEDS MORE TESTS
bool last = false //checks if a loop is needed
var string alertSignal = "EMPTY" //needed for alarms to avoid repetition
//COLORS
var GRP2 = "Colors"
var color colorBuffer = na
color colorDOWN = input.color(color.new(color.red, 0), "Bear", inline = "5", group = GRP2)
color colorUP = input.color(color.new(color.green, 0), "Bull", inline = "5", group = GRP2)
color colorBands = input.color(color.new(#b2b5be, 0), "Bands", inline = "5", group = GRP2)
bool cautionInput = input.bool(true, "Caution label", inline = "6", group = GRP2)
//ALERTS
var GRP3 = "Alerts (Needs to create alert manually after every change)"
bool crossUpInput = input.bool(false, "Crossing up", inline = "7", group = GRP3)
bool crossDownInput = input.bool(false, "Crossing down", inline = "7", group = GRP3)
bool comingBackInput = input.bool(false, "Coming back", inline = "7", group = GRP3)
bool onArrowDownInput = input.bool(false, "On arrow down", inline = "8", group = GRP3)
bool onArrowUpInput = input.bool(false, "On arrow up", inline = "8", group = GRP3)
//CLEAR LINES
a_allLines = line.all
if array.size(a_allLines) > 0
for p = 0 to array.size(a_allLines) - 1
line.delete(array.get(a_allLines, p))
//GET PRICE
Price(x) =>
float price = switch PriceType
"Close" => close
"Open" => open
"High" => high
"Low" => low
"Median" => (high + low ) / 2
"Typical" => (high + low + close ) / 3
"Weighted" => (high + low + close + close ) / 4
"Average" => (high + low + close + open )/ 4
price
//MAIN
for i = HalfLength to 0
//ATR
atr = 0.0
for j = 0 to AtrPeriod - 1
atr += math.max(high , close ) - math.min(low , close )
atr /= AtrPeriod
//BANDS
sum = (HalfLength + 1) * Price(i)
sumw = (HalfLength + 1)
k = HalfLength
for j = 1 to HalfLength
sum += k * Price(i + j)
sumw += k
if (j <= i)
sum += k * Price(i - j)
sumw += k
k -= 1
tmac := sum/sumw
tmau := tmac+AtrMultiplier*atr
tmad := tmac-AtrMultiplier*atr
//ALERTS
if i == 0 //Only on a real candle
if (high > tmau and alertSignal != "UP") //crossing up band
if crossUpInput == true //checks if activated
alert("Crossing up Band") //calling alert
alertSignal := "UP" //to avoid repeating
else if (low < tmad and alertSignal != "DOWN") //crossing down band
if crossDownInput == true
alert("Crossing down Band")
alertSignal := "DOWN"
else if (alertSignal == "DOWN" and high >= tmad and alertSignal != "EMPTY") //back from the down band
if comingBackInput == true
alert("Coming back")
alertSignal := "EMPTY"
else if (alertSignal == "UP" and low <= tmau and alertSignal != "EMPTY") //back from the up band
if comingBackInput == true
alert("Coming back")
alertSignal := "EMPTY"
//CHANGE TREND COLOR
if pastTmac != 0.0
if tmac > pastTmac
colorBuffer := colorUP
if tmac < pastTmac
colorBuffer := colorDOWN
//SIGNALS
reboundD = 0.0
reboundU = 0.0
caution = 0.0
if pastTmac != 0.0
if (high > pastTmau and close > open and close < open )
reboundD := high + AtrMultiplier * atr / 2
if (tmac - pastTmac > TMAangle * point)
caution := reboundD + 10 * point
if (low < pastTmad and close < open and close > open )
reboundU := low - AtrMultiplier * atr / 2
if (pastTmac - tmac > TMAangle * point)
caution := reboundU - 10 * point
//LAST REAL
if barstate.islast and i == HalfLength
last := true
tmau_temp := tmau
tmac_temp := tmac
tmad_temp := tmad
//DRAW HANDICAPPED BANDS
if barstate.islast and i < HalfLength
line.new(bar_index - (i + 1), pastTmau, bar_index - (i), tmau, width = 2, style = line.style_dotted, color = colorBands)
line.new(bar_index - (i + 1), pastTmac, bar_index - (i), tmac, width = 2, style = line.style_dotted, color = colorBuffer)
line.new(bar_index - (i + 1), pastTmad, bar_index - (i), tmad, width = 2, style = line.style_dotted, color = colorBands)
//DRAW SIGNALS (ลูกศรใหญ่ขึ้น + มีคำว่า SELL/BUY)
if reboundD != 0
txtDown = showBuySellText ? "▼ " + sellText : "▼"
label.new(bar_index - (i), reboundD, txtDown, color = na, style = label.style_label_center, textcolor = colorDOWN, size = arrowSize, textalign = text.align_center)
if i == 0 and onArrowDownInput == true //alert
alert("Down arrow")
if caution != 0 and cautionInput == true
label.new(bar_index - (i), reboundD, color = colorUP, style = label.style_xcross, size = size.tiny, textcolor = na)
if reboundU != 0
txtUp = showBuySellText ? "▲ " + buyText : "▲"
label.new(bar_index - (i), reboundU, txtUp, color = na, style = label.style_label_center, textcolor = colorUP, size = arrowSize, textalign = text.align_center)
if i == 0 and onArrowUpInput == true //alert
alert("UP arrow")
if caution != 0 and cautionInput == true
label.new(bar_index - (i), reboundU, color = colorDOWN, style = label.style_xcross, size = size.tiny, textcolor = na)
//SAVE HISTORY
pastTmac := tmac
pastTmau := tmau
pastTmad := tmad
//LOOP IS ONLY FOR HANDICAPPED
if barstate.islast != true
break
//DRAW REAL BANDS
plot(last ? tmau_temp : tmau, title = "TMA Up", color = colorBands, linewidth=1, style = plot.style_line, offset = -HalfLength)
plot(last ? tmac_temp : tmac, title = "TMA Mid", color = colorBuffer, linewidth=1, style = plot.style_line, offset = -HalfLength)
plot(last ? tmad_temp : tmad, title = "TMA Down", color = colorBands, linewidth=1, style = plot.style_line, offset = -HalfLength)
Swing Anchored Vwap [BigBeluga]🔵 OVERVIEW
Swing Anchored Vwap tracks the market’s directional behavior by anchoring VWAPs (Volume Weighted Average Price) to dynamically detected swing highs and lows. It visually distinguishes the active swing VWAP from historical ones—offering traders a clean view of trend-aligned value zones with clearly marked inflection points.
🔵 CONCEPTS
Swing Anchored VWAPs: VWAPs are initiated from recent swing highs during downtrends and swing lows during uptrends.
Trend Detection: The indicator identifies trend shifts based on the breaking of recent highest or lowest price value.
Trend-Based Coloring:
• Green VWAPs: are drawn from swing lows in uptrends.
• Blue VWAPs: are drawn from swing highs in downtrends.
Sensitivity Control: The Length input defines how far back the script looks to determine swing points—shorter lengths make it more reactive.
🔵 FEATURES
Real-time VWAP projection from the current swing point, updated live.
Historical VWAP traces with slightly faded color to emphasize the current active one.
Swing markers automatically placed on highs/lows where VWAPs are anchored.
Label with price value at the end of each active VWAP line for clarity.
Adaptive color scheme that visually separates uptrend/downtrend zones.
🔵 HOW TO USE
Use active VWAP as a dynamic support/resistance guide during ongoing trends.
Observe breaks or rejections around these VWAPs for trend continuation or reversal clues .
Compare current price position relative to swing VWAPs to assess trend maturity and extension .
Combine with volume analysis or structure to increase conviction at swing points.
🔵 CONCLUSION
Swing Anchored Vwap merges the logic of anchored VWAPs and swing structure into a responsive visual tool. It helps traders stay aligned with the current trend while offering historical context via previous value anchors—ideal for intraday to swing-level analysis.
Institutional level Indicator V5Smart money concept indicator with added VWAP for better understanding for fair price with relation to movement of price.
TMA Bands V.1 Indicator//@version=5
//author: mladen
//rebound arrows and TMA angle caution: Ale
//rewritten from MQL5 to Pine: Brylator
indicator("TMA Centered Bands Indicator", "TMA v1.0 Gaga", overlay = true, max_lines_count = 500, max_labels_count = 500)
//INPUTS
var GRP1 = "Parameters"
HalfLength = input.int(44, "Centered TMA half period", group = GRP1)
string PriceType = input.string("Weighted", "Price to use", options = , group = GRP1)
AtrPeriod = input.int(120, "Average true range period", group = GRP1)
AtrMultiplier = input.float(2, "Average true range multiplier", group = GRP1)
TMAangle = input.int(4, "Centered TMA angle caution", group = GRP1)
// APPEARANCE (เพิ่มตัวเลือกขนาดและข้อความ BUY/SELL)
var GRP4 = "Appearance"
arrowSizeOpt = input.string("Large", "Arrow size", options = , group = GRP4)
showBuySellText = input.bool(true, "Show BUY/SELL text on arrows", group = GRP4)
buyText = input.string("BUY", "Buy text", inline = "txt", group = GRP4)
sellText = input.string("SELL", "Sell text", inline = "txt", group = GRP4)
// map ขนาด
arrowSize = switch arrowSizeOpt
"Tiny" => size.tiny
"Small" => size.small
"Normal" => size.normal
"Large" => size.large
=> size.huge
//VARIABLES
float tmac = na
float tmau = na
float tmad = na
var float pastTmac = na //from the previous candle
var float pastTmau = na
var float pastTmad = na
float tmau_temp = na //before looping
float tmac_temp = na
float tmad_temp = na
float point = syminfo.pointvalue //NEEDS MORE TESTS
bool last = false //checks if a loop is needed
var string alertSignal = "EMPTY" //needed for alarms to avoid repetition
//COLORS
var GRP2 = "Colors"
var color colorBuffer = na
color colorDOWN = input.color(color.new(color.red, 0), "Bear", inline = "5", group = GRP2)
color colorUP = input.color(color.new(color.green, 0), "Bull", inline = "5", group = GRP2)
color colorBands = input.color(color.new(#b2b5be, 0), "Bands", inline = "5", group = GRP2)
bool cautionInput = input.bool(true, "Caution label", inline = "6", group = GRP2)
//ALERTS
var GRP3 = "Alerts (Needs to create alert manually after every change)"
bool crossUpInput = input.bool(false, "Crossing up", inline = "7", group = GRP3)
bool crossDownInput = input.bool(false, "Crossing down", inline = "7", group = GRP3)
bool comingBackInput = input.bool(false, "Coming back", inline = "7", group = GRP3)
bool onArrowDownInput = input.bool(false, "On arrow down", inline = "8", group = GRP3)
bool onArrowUpInput = input.bool(false, "On arrow up", inline = "8", group = GRP3)
//CLEAR LINES
a_allLines = line.all
if array.size(a_allLines) > 0
for p = 0 to array.size(a_allLines) - 1
line.delete(array.get(a_allLines, p))
//GET PRICE
Price(x) =>
float price = switch PriceType
"Close" => close
"Open" => open
"High" => high
"Low" => low
"Median" => (high + low ) / 2
"Typical" => (high + low + close ) / 3
"Weighted" => (high + low + close + close ) / 4
"Average" => (high + low + close + open )/ 4
price
//MAIN
for i = HalfLength to 0
//ATR
atr = 0.0
for j = 0 to AtrPeriod - 1
atr += math.max(high , close ) - math.min(low , close )
atr /= AtrPeriod
//BANDS
sum = (HalfLength + 1) * Price(i)
sumw = (HalfLength + 1)
k = HalfLength
for j = 1 to HalfLength
sum += k * Price(i + j)
sumw += k
if (j <= i)
sum += k * Price(i - j)
sumw += k
k -= 1
tmac := sum/sumw
tmau := tmac+AtrMultiplier*atr
tmad := tmac-AtrMultiplier*atr
//ALERTS
if i == 0 //Only on a real candle
if (high > tmau and alertSignal != "UP") //crossing up band
if crossUpInput == true //checks if activated
alert("Crossing up Band") //calling alert
alertSignal := "UP" //to avoid repeating
else if (low < tmad and alertSignal != "DOWN") //crossing down band
if crossDownInput == true
alert("Crossing down Band")
alertSignal := "DOWN"
else if (alertSignal == "DOWN" and high >= tmad and alertSignal != "EMPTY") //back from the down band
if comingBackInput == true
alert("Coming back")
alertSignal := "EMPTY"
else if (alertSignal == "UP" and low <= tmau and alertSignal != "EMPTY") //back from the up band
if comingBackInput == true
alert("Coming back")
alertSignal := "EMPTY"
//CHANGE TREND COLOR
if pastTmac != 0.0
if tmac > pastTmac
colorBuffer := colorUP
if tmac < pastTmac
colorBuffer := colorDOWN
//SIGNALS
reboundD = 0.0
reboundU = 0.0
caution = 0.0
if pastTmac != 0.0
if (high > pastTmau and close > open and close < open )
reboundD := high + AtrMultiplier * atr / 2
if (tmac - pastTmac > TMAangle * point)
caution := reboundD + 10 * point
if (low < pastTmad and close < open and close > open )
reboundU := low - AtrMultiplier * atr / 2
if (pastTmac - tmac > TMAangle * point)
caution := reboundU - 10 * point
//LAST REAL
if barstate.islast and i == HalfLength
last := true
tmau_temp := tmau
tmac_temp := tmac
tmad_temp := tmad
//DRAW HANDICAPPED BANDS
if barstate.islast and i < HalfLength
line.new(bar_index - (i + 1), pastTmau, bar_index - (i), tmau, width = 2, style = line.style_dotted, color = colorBands)
line.new(bar_index - (i + 1), pastTmac, bar_index - (i), tmac, width = 2, style = line.style_dotted, color = colorBuffer)
line.new(bar_index - (i + 1), pastTmad, bar_index - (i), tmad, width = 2, style = line.style_dotted, color = colorBands)
//DRAW SIGNALS (ลูกศรใหญ่ขึ้น + มีคำว่า SELL/BUY)
if reboundD != 0
txtDown = showBuySellText ? "▼ " + sellText : "▼"
label.new(bar_index - (i), reboundD, txtDown, color = na, style = label.style_label_center, textcolor = colorDOWN, size = arrowSize, textalign = text.align_center)
if i == 0 and onArrowDownInput == true //alert
alert("Down arrow")
if caution != 0 and cautionInput == true
label.new(bar_index - (i), reboundD, color = colorUP, style = label.style_xcross, size = size.tiny, textcolor = na)
if reboundU != 0
txtUp = showBuySellText ? "▲ " + buyText : "▲"
label.new(bar_index - (i), reboundU, txtUp, color = na, style = label.style_label_center, textcolor = colorUP, size = arrowSize, textalign = text.align_center)
if i == 0 and onArrowUpInput == true //alert
alert("UP arrow")
if caution != 0 and cautionInput == true
label.new(bar_index - (i), reboundU, color = colorDOWN, style = label.style_xcross, size = size.tiny, textcolor = na)
//SAVE HISTORY
pastTmac := tmac
pastTmau := tmau
pastTmad := tmad
//LOOP IS ONLY FOR HANDICAPPED
if barstate.islast != true
break
//DRAW REAL BANDS
plot(last ? tmau_temp : tmau, title = "TMA Up", color = colorBands, linewidth=1, style = plot.style_line, offset = -HalfLength)
plot(last ? tmac_temp : tmac, title = "TMA Mid", color = colorBuffer, linewidth=1, style = plot.style_line, offset = -HalfLength)
plot(last ? tmad_temp : tmad, title = "TMA Down", color = colorBands, linewidth=1, style = plot.style_line, offset = -HalfLength)
ABO LANA-𝑀1. إشارات التداول الرئيسية:
إشارة شراء (BUY):
تظهر عند تحول اتجاه السوق من هابط إلى صاعد، مع إغلاق السعر فوق المتوسط المتحرك (EMA 9).
إشارة بيع (SELL):
تظهر عند تحول الاتجاه من صاعد إلى هابط، مع إغلاق السعر تحت المتوسط المتحرك.
2. مناطق العرض والطلب (Supply/Demand):
مناطق العرض (Supply):
تمثل مستويات مقاومة رئيسية (لون أحمر) تُرسم عند القمم السعرية.
مناطق الطلب (Demand):
تمثل مستويات دعم رئيسية (لون أخضر) تُرسم عند القيعان السعرية.
تحديث تلقائي بناءً على حركة السعر وأطر زمنية متعددة.
3. إدارة المخاطر والأرباح:
وقف الخسارة (SL):
يُحسب باستخدام مضاعف ATR (المدى الحقيقي).
مستويات الأرباح (TP1, TP2, TP3):
مستويات ثلاثية للأرباح مع مضاعفات قابلة للتخصيص.
تنبيهات صوتية عند تحقيق كل هدف.
4. لوحة المعلومات (Dashboard):
اتجاه السوق: صاعد/هابط عبر 6 أطر زمنية (من 1 دقيقة إلى يومي).
مؤشر الزخم (Momentum):
اتجاه حركة السعر خلال 10 شمعات.
RSI مخصص:
يجمع بين RSI قصير المدى (2) ومتوسط متحرك (7).
حجم التداول: صاعد/هابط مقارنة بالمتوسط.
قوة الترند (ADX): قوي/ضعيف.
5. ميزات إضافية:
خطوط اتجاه ديناميكية:
تُرسم تلقائياً بين القمم والقيعان.
مستويات دعم/مقاومة:
مستخرجة من 7 أطر زمنية (H4, H1, M30, ...).
نطاق متوسط (Middle Band):
خط برتقالي يعكس متوسط حركة السعر.
تحليل السيولة:
يعتمد على شموع هايكين أشي وحجم التداول.
Brief Explanation of ABO LANA-M (English):
1. Core Trading Signals:
BUY Signal:
Triggers when market trend shifts from bearish to bullish, with price closing above EMA 9.
SELL Signal:
Activates when trend reverses from bullish to bearish, with price closing below EMA 9.
2. Supply/Demand Zones:
Supply Zones (Red):
Key resistance levels plotted at swing highs.
Demand Zones (Green):
Key support levels plotted at swing lows.
Auto-updated based on price action across multiple timeframes.
3. Risk & Profit Management:
Stop Loss (SL):
Calculated using ATR multiplier.
Take Profit Targets (TP1, TP2, TP3):
Three customizable profit levels.
Audio alerts when each target is hit.
4. Smart Dashboard:
Market Trend: Bullish/Bearish across 6 timeframes (1m to Daily).
Momentum Indicator:
Price movement direction over 10 candles.
Custom RSI:
Combines RSI(2) with SMA(7) for smoother readings.
Volume Analysis:
Compares current volume to 20-period average.
Trend Strength (ADX): Strong/Weak.
5. Advanced Features:
Dynamic Trendlines:
Automatically drawn between swing highs/lows.
Support/Resistance Levels:
Extracted from 7 timeframes (H4, H1, M30, etc.).
Middle Band:
Orange line showing price equilibrium.
Liquidity Analysis:
Based on Heikin Ashi candles and volume confirmation.
WaveMap: Elliott Wave & Fibonacci Targets(Mastersinnifty)Description
WaveMap: Elliott Wave & Fibonacci Targets is a multi-purpose wave analysis tool designed to identify Elliott Wave patterns, draw price projections, and display Fibonacci retracement levels directly on the chart. It combines pivot detection with pattern recognition to highlight potential impulse and corrective phases, along with probable future targets.
How It Works
Uses pivot highs and lows to detect swing points over a user-defined length.
Identifies basic Elliott Wave structures as Impulse Up, Impulse Down, or Corrective.
Calculates price targets based on typical wave relationships (e.g., 1.618× Wave 1 for Wave 3).
Plots Fibonacci retracement levels between the most recent swing high and low.
Displays projections for up to three potential future targets using dashed lines and labels.
Provides an information table showing current wave type, wave count, price, and trend bias.
Generates alerts when new wave highs or lows are detected.
Inputs
Wave Detection Length – Number of bars used for pivot identification.
Future Projection Bars – How far ahead projections are plotted.
Wave Sensitivity – Adjusts detection sensitivity for wave turns.
Show Wave Labels – Toggles the on-chart information table.
Show Future Projections – Enables/disables projection lines and targets.
Show Fibonacci Levels – Enables/disables Fibonacci retracement lines and labels.
Wave Lines Color – Color for wave connection lines.
Projection Color – Color for projected target lines.
Fibonacci Color – Color for Fibonacci retracement levels.
Use Case
Identify and visualize Elliott Wave patterns to assist in market structure analysis.
Plan trade entries and exits using projected wave targets.
Combine wave detection with Fibonacci retracement for confluence zones.
Track trend bias and momentum during live trading sessions.
Disclaimer
This script is for educational and informational purposes only. Elliott Wave and Fibonacci projections are subjective and should be used in conjunction with other forms of technical analysis. Past performance does not guarantee future results. Always perform your own research and manage risk appropriately before trading.
TSI Indicator with Trailing StopAuthor: ProfitGang
Type: Indicator (visual + alerts). No orders are executed.
What it does
This tool combines the True Strength Index (TSI) with a simple tick-based trailing stop visualizer.
It plots buy/sell markers from a TSI cross with momentum confirmation and, if enabled, draws a trailing stop line that “ratchets” in your favor. It also shows a compact info table (position state, entry price, trailing status, and unrealized ticks).
Signal logic (summary)
TSI is computed with double EMA smoothing (user lengths).
Signals:
Buy when TSI crosses above its signal line and momentum (TSI–Signal histogram) improves, with TSI above your Buy Threshold.
Sell when TSI crosses below its signal line and momentum weakens, with TSI below your Sell Threshold.
Confirmation: Optional “Confirm on bar close” setting evaluates signals on closed bars to reduce repaint risk.
Trailing stop (visual only)
Units are ticks (uses the symbol’s min tick).
Start Trailing After (ticks): activates the trail only once price has moved in your favor by the set amount.
Trailing Stop (ticks): distance from price once active.
For longs: stop = close - trail; it never moves down.
For shorts: stop = close + trail; it never moves up.
Exits shown on chart when the trailing line is touched or an opposite signal occurs.
Note: This is a simulation for visualization and does not place, manage, or guarantee broker orders.
Inputs you can tune
TSI Settings: Long Length, Short Length, Signal Length, Buy/Sell thresholds, Confirm on Close.
Trailing Stop: Start Trailing After (ticks), Trailing Stop (ticks), Show/Hide trailing lines.
Display: Toggle chart signals, info table, and (optionally) TSI plots on the price chart.
Alerts included
TSI Buy / TSI Sell
Long/Short Trailing Activated
Long/Short Trail Exit
Tips for use
Timeframes/markets: Works on any symbol/timeframe that reports a valid min tick. If your market has large ticks, adjust the tick inputs accordingly.
TSI view: By default, TSI lines are hidden to avoid rescaling the price chart. Enable “Show TSI plots on price chart” if you want to see the oscillator inline.
Non-repainting note: With Confirm on bar close enabled, signals are evaluated on closed bars. Intrabar previews can change until the bar closes—this is expected behavior in TradingView.
Limitations
This is an indicator for education/research. It does not execute trades, and visuals may differ from actual broker fills.
Performance varies by market conditions; thresholds and trail settings should be tested by the user.
Disclaimer
Nothing here is financial advice. Markets involve risk, including possible loss of capital. Always do your own research and test on a demo before using any tool in live trading.
— ProfitGang
Mutanabby_AI | Fresh Algo V24Mutanabby_AI | Fresh Algo V24: Advanced Multi-Mode Trading System
Overview
The Mutanabby_AI Fresh Algo V24 represents a sophisticated evolution of multi-component trading systems that adapts to various market conditions through advanced operational configurations and enhanced analytical capabilities. This comprehensive indicator provides traders with multiple signal generation approaches, specialized assistant functions, and dynamic risk management tools designed for professional market analysis across diverse trading environments.
Primary Signal Generation Framework
The Fresh Algo V24 operates through two fundamental signal generation approaches that accommodate different market perspectives and trading philosophies. The Trending Signals Mode serves as the primary trend-following mechanism, combining Wave Trend Oscillator analysis with Supertrend directional signals and Squeeze Momentum breakout detection. This mode incorporates ADX filtering that requires values exceeding 20 to ensure sufficient trend strength exists before signal activation, making it particularly effective during sustained directional market movements where momentum persistence creates profitable trading opportunities.
The Contrarian Signals Mode provides an alternative approach targeting reversal opportunities through extreme market condition identification. This mode activates when the Wave Trend Oscillator reaches critical threshold levels, specifically when readings surpass 65 indicating potential bearish reversal conditions or drop below 35 suggesting bullish reversal opportunities. This methodology proves valuable during overextended market phases where mean reversion becomes statistically probable.
Advanced Filtering Mechanisms
The system incorporates multiple sophisticated filtering mechanisms designed to enhance signal quality and reduce false positive occurrences. The High Volume Filter requires volume expansion confirmation before signal activation, utilizing exponential moving average calculations to ensure institutional participation accompanies price movements. This filter substantially improves signal reliability by eliminating low-conviction breakouts that lack adequate volume support from professional market participants.
The Strong Filter provides additional trend confirmation through 200-period exponential moving average analysis. Long position signals require price action above this benchmark level, while short position signals necessitate price action below it. This ensures strategic alignment with longer-term trend direction and reduces the probability of trading against major market movements that could invalidate shorter-term signals.
Cloud Filter Configuration System
The Fresh Algo V24 offers four distinct cloud filter configurations, each optimized for specific trading timeframes and market approaches. The Smooth Cloud Filter utilizes the mathematical relationship between 150-period and 250-period exponential moving averages, providing stable trend identification suitable for position trading strategies. This configuration generates signals exclusively when price action aligns with cloud direction, creating a more deliberate but highly reliable signal generation process.
The Swing Cloud Filter employs modified Supertrend calculations with parameters specifically optimized for swing trading timeframes. This filter achieves optimal balance between responsiveness and stability, adapting effectively to medium-term price movements while filtering excessive market noise that typically affects shorter-term analytical systems.
For active intraday traders, the Scalping Cloud Filter utilizes accelerated Supertrend calculations designed to capture rapid trend changes effectively. This configuration provides enhanced signal generation frequency suitable for compressed timeframe strategies. The advanced Scalping+ Cloud Filter incorporates Hull Moving Average confirmation, delivering maximum responsiveness for ultra-short-term trading while maintaining signal quality through additional momentum validation processes.
Specialized Assistant Functionality
The system includes two distinct assistant modes that provide supplementary market analysis capabilities. The Trend Assistant Mode activates advanced cloud analysis overlays that display dynamic support and resistance zones calculated through adaptive volatility algorithms. These levels automatically adjust to current market conditions, providing visual guidance for identifying trend continuation patterns and potential reversal areas with mathematical precision.
The Trend Tracker Mode concentrates on long-term trend identification by displaying major exponential moving averages with color-coded fill areas that clarify directional bias. This mode maintains visual simplicity while providing comprehensive trend context evaluation, enabling traders to quickly assess broader market direction and align shorter-term strategies accordingly.
Dynamic Risk Management System
The integrated risk management system automatically adapts across all operational modes, calculating stop loss and take profit targets using Average True Range multiples that adjust to current market volatility. This approach ensures consistent risk parameters regardless of selected operational mode while maintaining relevance to prevailing market conditions.
Stop loss placement occurs at dynamically calculated distances from entry points, while three progressive take profit targets establish at customizable ATR multiples respectively. The system automatically updates these levels upon trend direction changes, ensuring current market volatility influences all risk calculations and maintains appropriate risk-reward ratios throughout trade management.
Comprehensive Market Analysis Dashboard
The sophisticated dashboard provides real-time market analysis including volatility measurements, institutional activity assessment, and multi-timeframe trend evaluation across five-minute through four-hour periods. This comprehensive market context assists traders in selecting appropriate operational modes based on current market characteristics rather than relying exclusively on historical performance data.
The multi-timeframe analysis ensures mode selection considers broader market context beyond the primary trading timeframe, improving overall strategic alignment and reducing conflicts between different temporal market perspectives. The dashboard displays market state classification, volatility percentages, institutional activity levels, current trading session information, and trend pressure indicators with professional formatting and clear visual hierarchy.
Enhanced Trading Assistants
The Fresh Algo V24 includes specialized trading assistant features that complement the primary signal generation system. The Reversal Dot functionality identifies potential reversal points through Wave Trend Oscillator analysis, displaying visual indicators when crossover conditions occur at extreme levels. These reversal indicators provide early warning signals for potential trend changes before they appear in the primary signal system.
The Dynamic Take Profit Labels feature automatically identifies optimal profit-taking opportunities through RSI threshold analysis, marking potential exit points at multiple levels for long positions and corresponding levels for short positions. This automated profit management system helps traders optimize exit timing without requiring constant manual monitoring of technical indicators.
Advanced Alert System
The comprehensive alert system accommodates all operational modes while providing granular notification control for various signal types and risk management events. Traders can configure separate alerts for normal buy signals, strong buy signals, normal sell signals, strong sell signals, stop loss triggers, and individual take profit target achievements.
Cloud crossover alerts notify traders when trend direction changes occur, providing early indication of potential strategy adjustments. The alert system includes detailed trade setup information, timeframe data, and relevant entry and exit levels, ensuring traders receive complete context for informed decision-making without requiring constant chart monitoring.
Technical Foundation Architecture
The Fresh Algo V24 combines multiple proven technical analysis components including Wave Trend Oscillator for momentum assessment, Supertrend for directional bias determination, Squeeze Momentum for volatility analysis, and various exponential moving averages for trend confirmation. Each component contributes specific market insights while the unified system provides comprehensive market evaluation through their mathematical integration.
The multi-component approach reduces dependency on individual indicator limitations while leveraging the analytical strengths of each technical tool. This creates a robust analytical framework capable of adapting to diverse market conditions through appropriate mode selection and parameter optimization, ensuring consistent performance across varying market environments.
Market State Classification
The indicator incorporates advanced market state classification through ADX analysis, distinguishing between trending, ranging, and transitional market conditions. This classification system automatically adjusts signal sensitivity and filtering parameters based on current market characteristics, optimizing performance for prevailing conditions rather than applying static analytical approaches.
The volatility measurement system calculates current market activity levels as percentages, providing quantitative assessment of market energy and helping traders select appropriate operational modes. Institutional activity detection through volume analysis ensures signal generation aligns with professional market participation patterns.
Implementation Strategy Considerations
Successful implementation requires careful matching of operational modes to prevailing market conditions and individual trading objectives. Trending modes demonstrate optimal performance during directional markets with sustained momentum characteristics, while contrarian modes excel during range-bound or overextended market conditions where reversal probability increases.
The cloud filter configurations provide varying degrees of confirmation strength, with smoother settings reducing false signal occurrence at the expense of some responsiveness to price changes. Traders must balance signal quality against signal frequency based on their risk tolerance and available trading time, utilizing the comprehensive customization options to optimize performance for their specific requirements.
Multi-Timeframe Integration
The system provides seamless multi-timeframe analysis through the integrated dashboard, displaying trend alignment across multiple time horizons from five-minute through four-hour periods. This analysis helps traders understand broader market context and avoid conflicts between different temporal perspectives that could compromise trade outcomes.
Session analysis identifies current trading session characteristics, providing context for expected market behavior patterns and helping traders adjust their approach based on typical session volatility and participation levels. This geographic market awareness enhances strategic decision-making and improves timing for trade execution.
Advanced Visualization Features
The indicator includes sophisticated visualization capabilities through gradient candle coloring based on MACD analysis, providing immediate visual feedback on momentum strength and direction. This enhancement allows rapid market assessment without requiring detailed indicator analysis, improving efficiency for traders managing multiple instruments simultaneously.
The cloud visualization system uses color-coded fill areas to clearly indicate trend direction and strength, with automatic adaptation to selected operational modes. This visual clarity reduces analytical complexity while maintaining comprehensive market information display through professional chart presentation.
Performance Optimization Framework
The Fresh Algo V24 incorporates performance optimization features including signal strength classification, automatic parameter adjustment based on market conditions, and dynamic filtering that adapts to current volatility levels. These optimizations ensure consistent performance across varying market environments while maintaining signal quality standards.
The system automatically adjusts sensitivity levels based on selected operational modes, ensuring appropriate responsiveness for different trading approaches. This adaptive framework reduces the need for manual parameter adjustments while maintaining optimal performance characteristics for each operational configuration.
Conclusion
The Mutanabby_AI Fresh Algo V24 represents a comprehensive solution for professional trading analysis, combining multiple analytical approaches with advanced visualization and risk management capabilities. The system's strength lies in its adaptive multi-mode design and sophisticated filtering mechanisms, providing traders with versatile tools for various market conditions and trading styles.
Success with this system requires understanding the relationship between different operational modes and their optimal application scenarios. The comprehensive dashboard and alert system provide essential market context and trade management support, enabling systematic approach to market analysis while maintaining flexibility for individual trading preferences.
The indicator's sophisticated architecture and extensive customization options make it suitable for traders at all experience levels, from those seeking systematic signal generation to advanced practitioners requiring comprehensive market analysis tools. The multi-timeframe integration and adaptive filtering ensure consistent performance across diverse market conditions while providing clear guidelines for strategic implementation.
Gann Fan Master – Selectable Base Angle & Fibonacci AnglesGann Fan Master – Selectable Base Angle & Fibonacci Angles
This indicator plots a Gann Fan from point A1 through point B1, with full customization over:
Base angle selection (8/1, 1/1, 1/8)
Main angle set
Fibonacci-based angles
Up to 10 custom user-defined angles
Logarithmic or linear slope calculation
Custom fan color and extended line length
Perfect for manual chart analysis — you select A1 and B1, the script calculates and draws the fan with labeled angles.
How It Works
-Select A1 (time & price) and B1 (time & price).
-The script calculates the base slope depending on the selected base angle:
Linear scale: slope = (B1 − A1) / Δt / base_angle_value
Logarithmic scale: slope = (ln(B1) − ln(A1)) / Δt / base_angle_value
-Each enabled angle is drawn from A1, extended by the chosen number of bars, and labeled with its value.
-Fan color is determined automatically by direction (green for upward, red for downward) or can be overridden.
Quick Start
-Add the indicator to your chart.
-In settings:
A1 Time/Price — starting point.
B1 Time/Price — second point (defines slope).
Base Angle — choose 8/1, 1/1, or 1/8.
Extend Fan (Bars) — number of bars to extend lines into the future.
Logarithmic Fan Calculation — toggle for log-scale mode.
Enable desired angle sets: Main, Fibonacci, or Custom.
-Optionally, enable Use Custom Fan Color and set your own color.
Settings
Enable Fan — master switch.
A1 Time/A1 Price, B1 Time/B1 Price — anchor points.
Base Angle — 8/1, 1/1, 1/8.
Extend Fan (Bars) — extension length.
Use Custom Fan Color / Fan Color — manual color override.
Main Angles — 1/8, 1/4, 1/3, 1/2, 1/1, 2/1, 3/1, 4/1, 6/1, 8/1.
Fibonacci Angles — 0.214, 0.35, 0.382, 0.618, 0.786, 0.886, 0.9335, 1.118, 1.236, 1.382, 1.618.
Custom Angles — up to 10 values (dotted lines), labels from the exact value.
Usage Tips
-Choosing A1 and B1:
A1 — significant starting swing high or low.
B1 — next key swing to define slope.
-Logarithmic scale:
Ideal for long-term exponential trends (crypto, growth stocks).
Prices must be > 0.
-Watch how price reacts to different angles:
1/1 as median trend, fractional for support/resistance, multiples for acceleration/slowdown.
Disclaimer
This is a technical analysis tool. It is not financial advice. Trading decisions are made at your own risk.
Gann Fan Master – Selectable Base Angle & Fibonacci Angles
Индикатор строит веер Ганна от точки A1 через точку B1 с полной кастомизацией:
Выбор базового угла (8/1, 1/1, 1/8)
Набор основных углов
Углы Фибоначчи
До 10 пользовательских углов
Расчёт в логарифмической или линейной шкале
Цвет веера по направлению или заданный вручную
Настройка длины продления линий
Идеально подходит для ручного анализа графика — вы задаёте A1 и B1, а скрипт рассчитывает и строит веер с подписями углов.
Как это работает
-Задайте A1 (время и цена) и B1 (время и цена).
-Скрипт рассчитывает базовый наклон в зависимости от выбранного базового угла:
Линейная шкала: наклон = (B1 − A1) / Δt / base_angle_value
Логарифмическая шкала: наклон = (ln(B1) − ln(A1)) / Δt / base_angle_value
-Каждый включённый угол рисуется из точки A1, продлевается на заданное число баров и подписывается.
-Цвет линий определяется автоматически по направлению (зелёный — вверх, красный — вниз) или задаётся вручную.
Быстрый старт
1)Добавьте индикатор на график.
2)В настройках:
A1 Time/Price — начальная точка.
B1 Time/Price — вторая точка (задаёт наклон).
Base Angle — выберите 8/1, 1/1 или 1/8.
Extend Fan (Bars) — длина продления линий в барах.
Logarithmic Fan Calculation — переключатель логарифмического режима.
Включите нужные блоки углов: Main, Fibonacci, Custom.
3)При желании активируйте Use Custom Fan Color и задайте цвет веера.
Настройки
Enable Fan — общий выключатель.
A1 Time/A1 Price, B1 Time/B1 Price — опорные точки.
Base Angle — 8/1, 1/1, 1/8.
Extend Fan (Bars) — продление линий.
Use Custom Fan Color / Fan Color — цвет вручную.
Main Angles — 1/8, 1/4, 1/3, 1/2, 1/1, 2/1, 3/1, 4/1, 6/1, 8/1.
Fibonacci Angles — 0.214, 0.35, 0.382, 0.618, 0.786, 0.886, 0.9335, 1.118, 1.236, 1.382, 1.618.
Custom Angles — до 10 значений (точечные линии) с подписями.
Советы по применению
Выбор A1 и B1:
A1 — значимый экстремум начала движения.
B1 — следующий важный экстремум для задания наклона.
Логарифмическая шкала:
Подходит для долгосрочных экспоненциальных трендов (крипто, акции роста).
Цена должна быть > 0.
Следите, как цена реагирует на разные углы:
1/1 — медианный тренд.
Дробные углы — потенциальная поддержка/сопротивление.
Кратные — ускорение/замедление движения.
Дисклеймер
Это инструмент технического анализа и не является инвестиционной рекомендацией. Торговые решения вы принимаете на свой страх и риск.
Conferma Rotture by G.I.N.e Trading (Auto/Manual Profile)This indicator is designed to detect Range Expansion Bars (REB) and validate them through multiple filters, including trend alignment, fractal breakouts, volume strength, and VSA logic.
It can be used as a standalone breakout detector or as a confirmation tool for existing strategies.
Main Components
Range Expansion Detection (REB)
A bar is considered a REB when its range (High − Low) exceeds a dynamic threshold based on either:
Average range over N bars, or
ATR over N bars (if enabled).
Thresholds are adjustable and can adapt automatically to the instrument (e.g., DAX, Bund).
Trend Filter — HMA Slope
Calculates the slope of a Hull Moving Average to determine trend direction.
REB signals are only valid when aligned with the current trend (optional filter).
Fractal Breakout Confirmation
Uses Bill Williams fractals to identify the most recent swing high/low.
A REB is confirmed only if it breaks the latest fractal in the signal’s direction (optional).
Volume Filters
Simple Volume Check: Volume must be greater than the moving average × multiplier.
VSA Filter: Requires wide spread + high volume, confirming strong participation.
Armed Trigger Mode (Two-step Confirmation)
Step 1: REB detected → state is “armed” for a set number of bars.
Step 2: Position triggers only if price breaks the REB bar’s high/low within the validity window.
Visual Elements
Green/Red Columns — Confirmed REB signals (Long / Short).
White Line — REB intensity (range / base).
Yellow ±0.5 Line — “Armed” state before trigger activation.
Aqua Circles — VSA confirmation (wide spread + high volume).
Teal Line — Last up fractal level.
Orange Line — Last down fractal level.
Usage Example
Detect breakouts with strong momentum and volume.
Combine with fractal breakout for additional confirmation.
Use in “armed” mode to avoid false entries and require a follow-up trigger.
Especially suited for futures like DAX and Bund, but parameters can be adapted to other assets.
Swing High/Low SignalsSwing High/Low Signals – profit gang
Quickly spot recent market turning points with this clean swing high/low indicator.
Marks swing highs & lows with labels or triangles
Optional connecting lines & background highlights
Alerts when new swings form
Info table showing last swing levels & current price
Fully adjustable lookback period for any timeframe.
Disclaimer: For educational use only. Not financial advice.
BuySell-byALHELWANI🔱 BuySell-byALHELWANI | مؤشر التغيرات الاتجاهية الذكية
BuySell-byALHELWANI هو مؤشر احترافي متقدّم يرصد نقاط الانعكاس الحقيقية في حركة السوق، باستخدام خوارزمية تعتمد على تحليل القمم والقيعان الهيكلية للسعر (Structure-Based Detection) وليس على مؤشرات تقليدية.
المؤشر مبني على مكتبة signalLib_yashgode9 القوية، مع تخصيص كامل لأسلوب العرض والتنبيهات.
⚙️ ما يقدمه المؤشر:
🔹 إشارات واضحة للشراء والبيع تعتمد على كسر هيكل السوق.
🔹 تخصيص مرن للعمق والانحراف وخطوات التراجع (Backstep) لتحديد الدقة المطلوبة.
🔹 علامات ذكية (Labels) تظهر مباشرة على الشارت عند كل نقطة قرار.
🔹 تنبيهات تلقائية فورية عند كل تغير في الاتجاه (Buy / Sell).
🧠 الآلية المستخدمة:
DEPTH_ENGINE: يتحكم في مدى عمق النظر لحركة السعر.
DEVIATION_ENGINE: يحدد المسافة المطلوبة لتأكيد نقطة الانعكاس.
BACKSTEP_ENGINE: يضمن أن كل إشارة تستند إلى تغير هيكلي حقيقي في الاتجاه.
📌 المميزات:
✅ لا يعيد الرسم (No Repaint)
✅ يعمل على كل الأطر الزمنية وكل الأسواق (فوركس، مؤشرات، كريبتو، أسهم)
✅ تصميم بصري مرن (ألوان، حجم، شفافية)
✅ يدعم الاستخدام في السكالبينغ والسوينغ
ملاحظة:
المؤشر لا يعطي إشارات عشوائية، بل يستند إلى منطق السعر الحقيقي عبر تتبع التغيرات الحركية للسوق.
يُفضّل استخدامه مع خطة تداول واضحة وإدارة رأس مال صارمة.
🔱 BuySell-byALHELWANI | Smart Reversal Detection Indicator
BuySell-byALHELWANI is a high-precision, structure-based reversal indicator designed to identify true directional shifts in the market. Unlike traditional indicators, it doesn't rely on lagging oscillators but uses real-time swing analysis to detect institutional-level pivot points.
Powered by the robust signalLib_yashgode9, this tool is optimized for traders who seek clarity, timing, and strategic control.
⚙️ Core Engine Features:
🔹 Accurate Buy/Sell signals generated from structural highs and lows.
🔹 Adjustable sensitivity using:
DEPTH_ENGINE: Defines how deep the algorithm looks into past swings.
DEVIATION_ENGINE: Sets the deviation required to confirm a structural change.
BACKSTEP_ENGINE: Controls how many bars are validated before confirming a pivot.
🧠 What It Does:
🚩 Detects market structure shifts and confirms them visually.
🏷️ Plots clear Buy-point / Sell-point labels directly on the chart.
🔔 Sends real-time alerts when a directional change is confirmed.
🎯 No repainting – what you see is reliable and final.
✅ Key Benefits:
Works on all timeframes and all asset classes (FX, crypto, indices, stocks).
Fully customizable: colors, label size, transparency.
Ideal for scalping, swing trading, and strategy automation.
High visual clarity with minimal noise.
🔐 Note:
This script is designed for serious traders.
It highlights real market intent, especially when used with trendlines, zones, and volume analysis.
Pair it with disciplined risk management for best results.
X σ mirrorX σ Mirror — Volatility Projection & Price Action Guide
The X σ Mirror is a volatility-mapping tool that measures the prior period’s trading range, then mirrors and projects that range onto the current period. Anchored from the current period’s opening price, the indicator divides this projected range into quartiles, creating a structured price map that adapts to the asset’s recent volatility profile.
Core Methodology
Range Measurement – At the close of each user-selected higher timeframe (daily, 4-hour, weekly, etc.), the indicator captures the prior period’s high, low, and midpoint (equilibrium). This defines the “volatility envelope” for the next period.
Projection from the Open – The full prior range is projected above and below the current period’s open. This symmetrical mirroring anchors the volatility measurement to a logical starting point for intraperiod price movement.
Quartile Breakdown – The projected range is segmented into precise increments: 0.25×, 0.50×, 0.75×, 1.0×, 1.25×, 1.5×, and 2.0× of the prior range. These serve as price “checkpoints” that reflect proportional expansions or contractions relative to historical volatility.
How It Guides Price Action
Dynamic Support & Resistance – Quartile levels often act as temporary barriers or accelerators for price movement, highlighting areas where order flow may cluster.
Momentum Tracking – Price acceptance above successive quartiles suggests sustained directional strength, while repeated failures to breach a quartile indicate exhaustion.
Risk Management – The mirrored range and quartile levels help traders size positions, define stop placements, and set profit targets with volatility-adjusted precision.
Market Context – By anchoring the projection from the open, the indicator aligns volatility expectations with the session’s actual market structure, rather than static fixed levels.
Application
The X σ Mirror is adaptable across assets and timeframes, making it suitable for intraday traders tracking the unfolding session, as well as swing traders monitoring multi-day expansion potential. By combining historical range analysis with real-time market positioning, it provides a balanced framework for anticipating price behavior within a probabilistic structure.
FVG Zones detector by ghk//@version=5
indicator("FVG Zones ", overlay=true, max_boxes_count=500, max_labels_count=500)
// --- FVG conditions (3-candle rule)
bullishFVG = low > high // gap below => bullish FVG (top = low , bottom = high )
bearishFVG = high < low // gap above => bearish FVG (top = low , bottom = high )
// --- Arrays to store created objects
var box bullBoxes = array.new_box()
var box bearBoxes = array.new_box()
var label bullLabels = array.new_label()
var label bearLabels = array.new_label()
// --- Create bullish FVG (box top must be > bottom)
if bullishFVG
bBox = box.new(left=bar_index , top=low , right=bar_index, bottom=high , border_color=color.green, bgcolor=color.new(color.green, 85))
array.push(bullBoxes, bBox)
bLabel = label.new(x=bar_index , y=low , text="UNFILLED", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.tiny)
array.push(bullLabels, bLabel)
// --- Create bearish FVG (box top must be > bottom)
if bearishFVG
sBox = box.new(left=bar_index , top=low , right=bar_index, bottom=high , border_color=color.red, bgcolor=color.new(color.red, 85))
array.push(bearBoxes, sBox)
sLabel = label.new(x=bar_index , y=high , text="UNFILLED", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.tiny)
array.push(bearLabels, sLabel)
// --- Extend bullish boxes to the right and remove when filled
if array.size(bullBoxes) > 0
for i = 0 to array.size(bullBoxes) - 1
bx = array.get(bullBoxes, i)
if not na(bx)
box.set_right(bx, bar_index)
if low <= box.get_bottom(bx) // filled when price trades into/below bottom
box.delete(bx)
array.set(bullBoxes, i, na)
lb = array.get(bullLabels, i)
if not na(lb)
label.delete(lb)
array.set(bullLabels, i, na)
// --- Extend bearish boxes to the right and remove when filled
if array.size(bearBoxes) > 0
for i = 0 to array.size(bearBoxes) - 1
bx = array.get(bearBoxes, i)
if not na(bx)
box.set_right(bx, bar_index)
if high >= box.get_top(bx) // filled when price trades into/above top
box.delete(bx)
array.set(bearBoxes, i, na)
lb = array.get(bearLabels, i)
if not na(lb)
label.delete(lb)
array.set(bearLabels, i, na)
STOCH MTF【15M/1H/4H】 EMOJI And Chart TableStochastic Oscillator (MT4/MT5 Function) Numerical Value with Chart Table , Emoji Overlay with Chart OverLay , You Can Find Best way to Trade with New Trend Line Start , i Suggest using with this indicator 【STOCH RSI AND RSI BUY/SELL Signals with MACD】
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Find Signal with 4H and 1H and looking for Entry Point In 5 Min / 15 Min。
Before Trend Start Tell you to Notify
Buy and Sell Signals Based on Price Channel BreakoutsThis indicator generates clear Buy and Sell signals by detecting breakouts from a price channel defined by the highest highs and lowest lows over a user-defined period.
A Buy signal triggers when the price closes above the previous bar’s channel high, indicating potential upward momentum.
A Sell signal triggers when the price closes below the previous bar’s channel low, signaling potential downward momentum.
The indicator maintains the position until an opposite breakout occurs, reducing noise and false signals common in scalping strategies.
Ideal for intraday scalpers using 1-minute or 5-minute charts who want to trade breakout momentum with simple, visual signals.
Includes alert conditions for Buy and Sell signals to keep you notified in real-time.
Multi-Layer Volume Profile [Mark804]Multi‑Layer Volume Profile — Indicator Overview
An advanced multi-resolution volume analysis tool that stacks historical volume profiles to clearly reveal market structure across different time frames. Designed for traders seeking precision, clarity, and context in volume dynamics.
Key Features
Multi-Layer Volume Profiles
Constructs up to four distinct volume profiles:
Full Period
Half-Length
Quarter-Length
One-Eighth-Length
This layered design enables the identification of confluence zones and traction across multiple horizons.
Custom Bin Resolution
Users can control the number of bins to tailor the profile’s granularity—from fine detail (high bins) to smooth broad strokes (low bins).
Precise POC Highlighting
The Price of Control (PoC)—the price level with the most traded volume—appears as a prominent thick blue line, serving as a key anchor for trading decisions.
Total & Delta Volume Labels
Total Volume: Displayed at the top of each profile, reflecting total traded volume within that period.
Delta Volume: Shown at the bottom, indicating the net difference between bullish and bearish volume—positive suggests buyer strength; negative suggests seller dominance.
Range Boundaries
Each profile features horizontal lines marking the high and low of the period—common zones for price reactions, support, and resistance.
How It Works
For each active profile, the script:
Captures the price range (highs/lows) over the chosen lookback period.
Divides the range into equal-size bins.
Assigns candle volume to bins based on the candle’s close price.
Aggregates total and delta volume for profiling.
It highlights the maximum-volume bin (PoC) and overlays auxiliary elements—like range lines and volume labels—to enhance visual clarity and context.
Suggested Uses
Identify Acceptance Zones
Thick areas within profiles represent price levels where the market finds consensus—ideal for building entries or consolidating positions.
Spot Rejection Zones
Thinner volume regions may signal price rejection—valuable for stop placement or break-in entries.
Delta Confirmation
Use positive or negative delta values at the bottom of the profiles to confirm directional bias when considering breakout setups.
Multi-Timeframe Confluence
Watch for overlapping PoCs across profile layers—these often mark strong support/resistance levels worthy of trading attention.
Summary
The Multi‑Layer Volume Profile equips traders with a nuanced, multi-horizon view of market volume and structure. Its layered profiles, precise PoC markers, volume metrics, and profile range lines make it an invaluable analytical companion—whether scalping intraday moves or mapping macro-level support zones.
Volume FlaresVolume Flares – Spotting Abnormal Volume by Time of Day
Most volume tools compare current volume to a moving average of the last X bars. That’s fine for seeing short-term changes, but it ignores how volume naturally ebbs and flows throughout the day.
Volume at 9:35 is not the same as volume at 1:15.
A standard MA will treat them the same.
What Volume Flares does differently:
Breaks the day into exact time slots (based on your chosen timeframe).
Calculates the historical average volume for each slot across past sessions.
Compares the current bar’s volume only to its own slot’s historical average.
Marks when current volume is significantly higher than normal for that exact time of day.
Visuals:
Colored columns = historical average volume for each slot (dark = quiet, bright = busy).
Green stepline = today’s actual current volume.
Dark red background = current volume > 130% of that slot’s historical average.
Volume Behavior table = live % comparison and raw values for quick reference.
How I use it:
Red and green arrows on the price chart are manually drawn where the background turns red in the volume panel.
These often align with liquidity grabs, institutional entries, or areas where the market is “louder” than it should be for that moment in the day.
Helps filter out false urgency — high volume at the open isn’t the same as high volume in the lunch lull.
Key takeaway:
This is not a buy/sell signal.
It’s context.
It’s about spotting when the market is behaving out of character for that specific moment, and using that to read intent behind the move.
Minimal S/R Zones with Volume StrengthHow it works
Pivot Detection
A pivot high is a candle whose high is greater than the highs of a certain number of candles before and after it.
A pivot low is a candle whose low is lower than the lows of a certain number of candles before and after it.
Parameters like Pivot Left Bars and Pivot Right Bars control how sensitive the pivots are.
Zone Creation
Pivot High → creates a Resistance zone.
Pivot Low → creates a Support zone.
Each zone is defined as a price range (top and bottom) and drawn horizontally for a given lookback length.
Volume Strength Filter
Volume Strength (%) = (Volume at Pivot / Volume SMA) × 100.
If the strength is below the minimum threshold (Min Strength %), the zone is ignored.
This ensures only pivots with significant trading activity create zones.
Zone Management
The indicator stores zones in arrays.
Max Zones per side prevents too many zones from being displayed at once.
Older zones are removed when new ones are added beyond the limit.
Visuals
Support zones → green label with Volume Strength %.
Resistance zones → red label with Volume Strength %.
Zones have semi-transparent boxes so price action remains visible.
ICT/SMC Liquidity Map V3 KyroowThe indicator is designed to map liquidity on the chart following the ICT/SMC logic, with the added feature of precise tracking of the Asian session.
It shows you:
PDH / PDL → Previous Day High & Low, automatically removed once taken out.
EQH / EQL → Equal Highs & Equal Lows (double tops/bottoms), with pip tolerance and a check to ensure no candle has already "cleared" the range.
ASH / ASL → Asian Session High & Low (the highs/lows of each closed Asian session).
Asian Session → Displayed as a box or shaded area, with visual history.
Dynamic tolerance management → EQH/EQL can have different tolerances depending on the timeframe.
Automatic removal → Levels are removed once the market takes them (via wick or body, configurable).
💡 In practice:
It helps you quickly identify likely liquidity grab zones, whether they come from the previous day, the Asian session, or equal highs/lows. This allows you to anticipate market reactions around these levels.
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB**
A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context.
* See trend direction at a glance with SMAs.
* Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200).
* Highlight big regime shifts with special Golden/Death tags.
* Read momentum and volatility with the candle heatmap.
* Add Bollinger Bands if you want classic mean-reversion context.
Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes.
# What This Indicator Does (plain English)
* **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead).
* **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint.
* **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out.
* **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient.
* **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them.
* **Includes alert conditions** for Golden and Death Cross so you can automate notifications.
---
# Settings — Simple Explanations
## Source
* **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`.
## SMA 50
* **Show 50**: Turn the SMA(50) line on/off.
* **Length 50**: How many bars to average. Lower = faster but noisier.
* **Color 50** / **Width 50**: Visual style.
* **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe.
## SMA 100
* **Show 100**: Turn the SMA(100) line on/off.
* **Length 100**: Bars used for the mid-term trend.
* **Color 100** / **Width 100**: Visual style.
* **Timeframe 100**: Optional alternate timeframe for SMA(100).
## SMA 200
* **Show 200**: Turn the SMA(200) line on/off.
* **Length 200**: Bars used for the long-term trend.
* **Color 200** / **Width 200**: Visual style.
* **Timeframe 200**: Optional alternate timeframe for SMA(200).
## Signals (crossover labels)
* **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200).
* **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint).
* **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often.
* **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish.
### Label Offset
* **Offset mode**: Choose how to push labels away from price:
* **Percent**: Offset is a % of price.
* **ATR x**: Offset is ATR(14) × multiplier.
* **Percent of price (%)**: Used when mode = Percent.
* **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x.
### Label Colors
* **Bull color** / **Bear color**: Background of triangle labels.
* **Bull label text color** / **Bear label text color**: Text color inside the triangles.
## Golden / Death Cross
* **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200.
* **Golden label color** / **Golden text color**: Styling for Golden label.
* **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200.
* **Death label color** / **Death text color**: Styling for Death label.
## Candle Heatmap
* **Enable heatmap candle colors**: Turns the heatmap on/off.
* **Length**: Lookback for the regression midline and volatility measure.
* **Deviation Multiplier**: Band width around the midline (bigger = wider).
* **Volatility basis**:
* **RMA Range** (smoothed high-low range)
* **Stdev** (standard deviation of close)
* **Upper/Middle/Lower color**: Gradient colors for the heatmap.
* **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible.
* **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring.
## Bollinger Bands (optional)
* **Show Bollinger Bands**: Toggle the overlay on/off.
* **Length**: Basis SMA length.
* **StdDev Multiplier**: Distance of bands from the basis in standard deviations.
* **Basis color** / **Band color**: Line colors for basis and bands.
* **Bands fill transparency**: Opacity of the fill between upper/lower bands.
---
# Features & How It Works
## 1) HTF-Safe SMAs
Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars).
## 2) Crossover Labels (Three Pairs)
* **50↔100**, **50↔200**, **100↔200**:
* **Triangle Up** label when the first SMA crosses **above** the second.
* **Triangle Down** label when it crosses **below**.
* Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish).
* **Debounce** spacing avoids repeated labels for the same pair too close together.
## 3) Golden / Death Cross Highlights
* **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift).
* **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift).
* Separate styling so they stand out from regular cross labels.
## 4) Candle Heatmap
* Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel.
* Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish.
* Helps you see momentum and “where price sits” relative to a dynamic channel.
## 5) Bollinger Bands (Optional)
* Classic **basis SMA** ± **StdDev** bands.
* Light visual context for mean-reversion and volatility expansion.
## 6) Alerts
* **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200`
* **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200`
Add these to your alerts to get notified automatically.
---
# Tips & Notes
* For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes.
* Use the **Trend Filter** to align signals with the broader stack and cut noise.
* For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame.
* Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
ATR+CCI Monetary Risk Tool - TP/SL⚙️ ATR+CCI Monetary Risk Tool — Volatility-aware TP/SL & Position Sizing
Exact prices (no rounding), ATR-percentile dynamic stops, and risk-budget sizing for consistent execution.
🧠 What this indicator is
A risk-first planning tool. It doesn’t generate orders; it gives you clean, objective levels (Entry, SL, TP) and position size derived from your risk budget. It shows only the latest setup to keep charts readable, and a compact on-chart table summarizing the numbers you actually act on.
✨ What makes it different
Dynamic SL by regime (ATR percentile): Instead of a fixed multiple, the SL multiplier adapts to the current volatility percentile (low / medium / high). That helps avoid tight stops in noisy markets and over-wide stops in quiet markets.
Risk budgeting, not guesswork: Size is computed from Account Balance × Max Risk % divided by SL distance × point value. You risk the same dollars across assets/timeframes.
Precision that matches your instrument: Entry, TP, SL, and SL Distance are displayed as exact prices (no rounding), truncated to syminfo.mintick so they align with broker/exchange precision.
Symbol-aware point value: Uses syminfo.pointvalue so you don’t maintain tick tables.
Non-repaint option: Work from closed bars to keep the plan stable.
🔧 How to use (quick start)
Add to chart and pick your timeframe and symbol.
In settings:
Set Account Balance (USD) and Max Risk per Trade (%).
Choose R:R (1:1 … 1:5).
Pick ATR Period and CCI Period (defaults are sensible).
Keep Dynamic ATR ON to adapt SL by regime.
Keep Use closed-bar values ON to avoid repaint when planning.
Read the labels (Entry/TP/SL) and the table (SL Distance, Position Size, Max USD Risk, ATR Percentile, effective SL Mult).
Combine with your entry trigger (price action, levels, momentum, etc.). This indicator handles risk & targets.
📐 How levels are computed
Bias: CCI ≥ 0 ⇒ long, otherwise short.
ATR Percentile: Percent rank of ATR(atrPeriod) over a lookback window.
Effective SL Mult:
If percentile < Low threshold ⇒ use Low SL Mult (tighter).
If between thresholds ⇒ use Base SL Mult.
If percentile > High threshold ⇒ use High SL Mult (wider).
Stop-Loss: SL = Entry ± ATR × SL_Mult (minus for long, plus for short).
Take-Profit: TP = Entry ± (Entry − SL) × R (R from the R:R dropdown).
Position Size:
USD Risk = Balance × Risk%
Contracts = USD Risk ÷ (|Entry − SL| × PointValue)
For futures, quantity is floored to whole contracts.
Exact prices: Entry/TP/SL and SL Distance are not rounded; they’re truncated to mintick so what you see matches valid price increments.
📊 What you’ll see on chart
Latest Entry (blue), TP (green), SL (red) with labels (optional emojis: ➡️ 🎯 🛑).
Info Table with:
Bias, Entry, TP, SL (exact, truncated to mintick)
SL Distance (exact, truncated)
Position Size (contracts/units)
Max USD Risk
Point Value
ATR Percentile and effective SL Mult
🧪 Practical examples
High-volatility session (e.g., XAUUSD, 1H): ATR percentile is high ⇒ wider SL, smaller size. Reduces churn from normal noise during macro events.
Range-bound market (e.g., EURUSD, 4H): ATR percentile low ⇒ tighter SL, better R:R. Helps you avoid carrying unnecessary risk.
Index swing planning (e.g., ES1!, Daily): Non-repaint levels + risk budgeting = consistent sizing across days/weeks, easier to review and journal.
🧭 Why traders should use it
Consistency: Same dollar risk regardless of instrument or volatility regime.
Clarity: One-trade view forces focus; you see the numbers that matter.
Adaptivity: Stops calibrated to the market’s current behavior, not last month’s.
Discipline: A visible checklist (SL distance, size, USD risk) before you hit buy/sell.
🔧 Input guide (practical defaults)
CCI Period: 100 by default; use as a bias filter, not an entry signal.
ATR Period: 14 by default; raise for smoother, lower for more reactive.
ATR Percentile Lookback: 200 by default (stable regime detection).
Percentile thresholds: 33/66 by default; widen the gap to change how often regimes switch.
SL Mults: Start ~1.5 / 2.0 / 2.5 (low/base/high). Tune by asset.
Risk % per trade: Common pro ranges are 0.25–1.0%; adjust to your risk tolerance.
R:R: Start with 1:2 or 1:3 for balanced skew; adapt to strategy edge.
Closed-bar values: Keep ON for planning/live; turn OFF only for exploration.
💡 Best practices
Combine with your entry logic (structure, momentum, liquidity levels).
Review ATR percentile and effective SL Mult across sessions so you understand regime shifts.
For futures, remember size is floored to whole contracts—safer by design.
Journal trades with the table snapshot to improve risk discipline over time.
⚠️ Notes & limitations
This is not a strategy; it does not place orders or alerts.
No slippage/commissions modeled here; build a strategy() version for backtests that mirror your broker/exchange.
Displayed non-price metrics use two decimals; prices and SL Distance are exact (truncated to mintick).
📎 Disclaimer
For educational purposes only. Not financial advice. Markets involve risk. Test thoroughly before trading live.
