YAS GROUPFOR ALL YAS GROUP MEMBERS
🔥 مؤشر متكامل يجمع بين عدة تقنيات احترافية لتحديد أفضل مناطق الدخول والخروج بدقة عالية:
✅ مناطق الـ Order Blocks القوية (15m, 1H, 4H)
✅ نسب الفيبوناتشي داخل الـ OB لتأكيد نقاط الانعكاس
✅ إشارات شراء وبيع دقيقة مع إمكانية تفعيل فلتر RSI و EMA/SMA
✅ خطوط دعم ومقاومة ديناميكية مبنية على آخر Pivot Highs & Lows
✅ مناسب للسكالبينج، التداول اليومي، وحتى الصفقات المتوسطة والطويلة
🎯 يمكنك التحكم في شروط الفلاتر وتخصيص الفريمات التي تهمك بسهولة من الإعدادات.
💡 هدف المؤشر: مساعدة المتداول في اتخاذ قرارات مدروسة ومبنية على مناطق سيولة وتجمع أوامر حقيقية، وليس فقط إشارات عشوائية.
---
⚠️ ملاحظة:
- لا يعتبر هذا المؤشر نصيحة مالية مباشرة.
- يفضل استخدامه مع إدارة رأس المال ومراعاة الأخبار والتحليل الأساسي.
🔔 لا تنسَ تفعيل التنبيهات للإشارات المهمة!
🔥 A complete all-in-one indicator combining multiple professional techniques to accurately detect the best entry and exit zones:
✅ Strong Order Blocks zones (15m, 1H, 4H)
✅ Fibonacci levels inside OBs to confirm reversal points
✅ Highly precise Buy/Sell signals with optional RSI and EMA/SMA filters
✅ Dynamic Support & Resistance lines based on latest pivot highs & lows
✅ Perfect for scalping, day trading, and swing trading
🎯 Easily customize filters and timeframes directly from the settings.
💡 Goal: Help traders make more confident, well-informed decisions based on real liquidity and order flow zones rather than random signals.
---
⚠️ Disclaimer:
- This indicator is not financial advice.
- Always combine it with proper risk management, fundamental analysis, and market context.
🔔 Don’t forget to set alerts to stay on top of key signals!
مع تحيات محمد الابرزي وقروب ابو سلطان
Полосы и каналы
Мой скрипт//@version=5
indicator("Momentum Reversal Zones Strategy", overlay=true)
// === INPUTS ===
rsiLength = input.int(14, title="RSI Length")
stochK = input.int(14, title="Stochastic %K")
stochD = input.int(3, title="Stochastic %D")
rsiOverbought = input.int(70, title="RSI Overbought Level")
rsiOversold = input.int(30, title="RSI Oversold Level")
// === RSI ===
rsi = ta.rsi(close, rsiLength)
// === Stochastic Oscillator ===
k = ta.stoch(close, high, low, stochK)
d = ta.sma(k, stochD)
// === Buy Signal Conditions ===
rsiBuy = rsi < rsiOversold
stochBuy = ta.crossover(k, d) and k < 20
buySignal = rsiBuy and stochBuy
// === Sell Signal Conditions ===
rsiSell = rsi > rsiOverbought
stochSell = ta.crossunder(k, d) and k > 80
sellSignal = rsiSell and stochSell
// === Plot signals ===
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.small, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.small, text="SELL")
// === Alerts ===
alertcondition(buySignal, title="Buy Alert", message="Buy Signal: RSI < 30 and Stochastic Bullish Crossover")
alertcondition(sellSignal, title="Sell Alert", message="Sell Signal: RSI > 70 and Stochastic Bearish Crossover")
// === Show RSI and Stochastic in separate panel ===
plot(rsi, title="RSI", color=color.blue, linewidth=1, display=display.none)
hline(rsiOverbought, "Overbought", color=color.red, linestyle=hline.style_dotted, display=display.none)
hline(rsiOversold, "Oversold", color=color.green, linestyle=hline.style_dotted, display=display.none)
Auto-AVWAP from Recent High/Low + MidlineAutomatically takes AVWAP from recent high/lows and helps in trading
Market Structure by HorizonAImarket structure with BOS and CHOCH. It has full accuracy. Identify structure and trade accordingly.
YAS GROUP✅ يحدد لك مناطق الـ Order Blocks القوية (على فريمات 15 دقيقة، 1 ساعة، و4 ساعات).
✅ حاطين فيبو داخل الـ OB عشان تأكد نقاط الارتداد بدقة.
✅ يعطيك إشارات شراء وبيع أدق من الصقر، وتقدر تشغل أو تطفي فلاتر الـ RSI والـ EMA/SMA حسب راحتك.
✅ بعد، فيه خطوط دعم ومقاومة ديناميكية، شغّالة ع آخر Pivot Highs & Lows.
✅ ينفع حق السكالبينج، التداول اليومي، وحتى الصفقات الطويلة.
🎯 من الإعدادات، تقدر تتحكم في الفلاتر والفريمات اللي تباها.
⚠️ ترى هالمؤشر مش نصيحة مالية مباشرة، دايم خلك حذر، وطبّق إدارة رأس مالك عدل.
🔔 ولاتنسى تحط التنبيهات، عشان توصلك الإشارات وأنت مرتاح.
بالتوفيق ، ورزقك إن شاء الله فوووق!
Hey brother, this indicator is fully loaded and super accurate! 🙌🔥
✅ Detects strong Order Blocks (15m, 1H, 4H).
✅ Adds Fibonacci levels inside OBs to confirm precise reversal points.
✅ Gives you super sharp Buy & Sell signals, with optional RSI and EMA/SMA filters you can toggle on/off.
✅ Also has dynamic Support & Resistance lines, based on the latest pivot highs & lows.
✅ Suitable for scalping, day trading, and swing trading.
🎯 You can easily customize filters and select the timeframes you want from the settings.
⚠️ Note: This is not financial advice — always use proper risk management and stay cautious.
🔔 Don't forget to set alerts so you never miss an opportunity.
Good luck and smash those profits! 🚀🔥
مع تحيات قروب ابو سلطان
15-Minute King (VWAP + Z-Score + CVD Oscillator)fridrich instituational secret . ( limited time only 4 free )
The Great Anchors: Dual AVWAP Powered by RSI
The Great Anchors
*Dual Anchored Volume Weighted Average Price Powered by RSI*
---
📌 Overview
The Great Anchors is a dual AVWAP-based indicator that resets dynamically using RSI extremes — either from the current asset or a master symbol (e.g., BTCUSDT). It identifies meaningful shifts in price structure and momentum using these "anchored" levels.
It’s designed to help traders spot trend continuations, momentum inflection points, and entry signals aligned with overbought/oversold conditions — but only when the market confirms through volume-weighted price direction.
---
🛠 Core Logic
• AVWAP 1 (favwap): Anchored when RSI reaches overbought levels (top anchor)
• AVWAP 2 (savwap): Anchored when RSI reaches oversold levels (bottom anchor)
• AVWAPs are recalculated each time a new OB/OS condition is triggered — acting like "fresh anchors" at key market turning points.
---
⚙️ Key Features
🔁 Auto or Manual RSI Thresholds
→ Automatically determines dynamic RSI OB/OS levels based on past peaks and troughs, or lets you set fixed levels.
🧠 Master Symbol Control
→ Use the RSI of a separate asset (like BTCUSDT, ETHUSDT, SOLUSDT, BNBUSDT, SUPRAUSDT) or indices (like TOTAL, TOTAL2, BFR) to control resets — ideal for tracking how BTC/major coins impacts altcoins/others.
🔍 Trend-Filtering Signal Logic
→ Signals are filtered for less noise and are triggered when:
- Both AVWAPs are rising (bullish) or falling (bearish)
- Price action confirms the structure
🎯 Visual Markers & Alerts
→ "💥" for bullish signals and "🔥" for bearish ones. Alerts included for automation or push notifications.
---
🎯 How to Use It
1. Add the indicator to your chart.
2. Choose whether to use RSI from the current symbol or a master symbol (e.g., BTC).
3. Select auto-adjusted or manual OB/OS levels.
4. Watch for:
- AVWAP(s) making a significant change (at this point it's one of the AVWAPs resetting)
- Check if price flip it upwards or downwards
- If price goes above both AVWAPs thats a likely bullish trend
- If price can't go above both AVWAPs up and fall bellow both that's a likely bearish trend
- Price retesting upper AVWAP and bounce
- likely bullish continuation
- Price retesting lower AVWAP and dip
- likely bearish continuation
- Signal icons on chart ("💥 - Bullish" or "🔥- Bearish")
Best suited for:
• Swing traders
• Momentum traders
• Traders timing altcoin entries using BTC/Major asset's RSI
---
🔔 Signal Explanation
💥 Bullish Signal =
• Both AVWAPs rising
• Higher lows in price structure
• Bullish candle close
• Triggered from overbought RSI reset
🔥 Bearish Signal =
• Both AVWAPs falling
• Lower highs in price structure
• Bearish candle close
• Triggered from oversold RSI reset
Signals reset by opposite signals to prevent noise or overfitting.
---
⚠️ Tips & Notes
• Use AVWAPs as dynamic support/resistance, even without signal triggers
• Pair with volume or divergence tools for stronger confirmation
---
🧩 Credits & Philosophy
This tool is built with a simple philosophy:
"Anchor your trades to meaningful moments in price — not arbitrary time."
The dual AVWAP concept helps you see how price reacts after momentum peaks, giving you a cleaner bias and more precise trade setups.
---
Regression Channel ExtendedBasic regression channel
Tested on QQQ 5 min interval
Edit fixedDeviationAmount based on ticker
Siyonacci-powerWith this indicator:
Volume momentum volume line filters the trend.
ATR bands control volatility.
You get alerts for volume mismatch.
MSB peak-bottom breakouts are visible.
MACD momentum histogram in the bottom panel confirms the strength of the signal.
trade bang mongIndicator Name:
🔺 Key Swing Zones Based on Breakouts (Line-Based)
Short Description:
This indicator automatically detects and visualizes key swing highs and lows based on the principle of candle close breaking the wick of the previous candle, then classifies the current market trend as uptrend, downtrend, or neutral. It draws horizontal lines representing key zones and adds visual labels to help traders analyze market structure more clearly.
Vùng đỉnh đáy chính theo phá vỡ (dùng line)Indicator Name:
🔺 Key Swing Zones Based on Breakouts (Line-Based)
Short Description:
This indicator automatically detects and visualizes key swing highs and lows based on the principle of candle close breaking the wick of the previous candle, then classifies the current market trend as uptrend, downtrend, or neutral. It draws horizontal lines representing key zones and adds visual labels to help traders analyze market structure more clearly.
How It Works:
🔹 Reversal Signal Logic:
In an uptrend, if a candle closes below the previous candle's low, it marks a swing low.
In a downtrend, if a candle closes above the previous candle's high, it marks a swing high.
🔹 Structure Break Detection:
Price breaking above a key high → confirms an uptrend.
Price breaking below a key low → confirms a downtrend.
If price breaks a zone but doesn't form a new high/low → switches to neutral.
🔹 Visual Display:
Draws two horizontal lines: one at the key high, one at the key low.
Adds labels "Key High" or "Key Low" at the breakout points.
Zone color representation:
🟢 Green = Uptrend
🔴 Red = Downtrend
⚪ White = Neutral
Objective Congestion Zones (Price Density)Automatically calculates congestion zones on multiple timezones and can be modified to add more zones
VWMA + ML RSI StrategyVWMA + ML RSI Strategy
This strategy combines the power of Volume-Weighted Moving Average (VWMA) with a Machine Learning-enhanced RSI to generate high-probability long entries.
✅ Buy Logic:
A buy signal is triggered when:
The candle closes above the VWMA
The ML RSI (smoothed using advanced moving averages) is above 60
If only one of the above conditions is met, the strategy waits for the second to confirm before entering.
❌ Sell Logic:
The position is closed when:
The candle closes below the VWMA, and
The ML RSI falls below 40
🎯 Risk Management:
Take Profit: 1.5% above entry
Stop Loss: 1.5% below entry
🤖 ML RSI Explanation:
The ML RSI is a refined version of the traditional RSI using smoothing techniques (like ALMA, EMA, etc.) to reduce noise and enhance responsiveness to price action. It helps filter out weak signals and improves trend confirmation.
🔧 Customization:
Adjustable VWMA length
Configurable ML RSI smoothing method, length, and ALMA sigma
Thresholds for entry/exit RSI levels
DIP BUYING by HAZEREAL BUY THE DIP - Educational Price Movement Indicator
This technical indicator is designed for educational purposes to help traders identify potential price reversal opportunities in equity markets, particularly focusing on NASDAQ-100 index tracking instruments and technology sector ETFs.
Key Features:
Monitors price movements relative to recent highs over customizable lookback periods
Identifies two distinct price decline thresholds: standard (5%+) and extreme (12.3%+)
Visual signals with triangular markers and background color zones
Real-time data table showing current metrics and status
Customizable alert system with webhook-ready JSON formatting
Clean overlay design that doesn't obstruct price action
How It Works:
The indicator tracks the highest price within a specified lookback period and calculates the percentage decline from that high. When price drops below the minimum threshold, it generates visual buy signals. The extreme threshold triggers enhanced alerts for more significant market movements.
Best Use Cases:
Educational analysis of market volatility patterns
Identifying potential support levels during market corrections
Studying historical price behavior around significant declines
Risk management and position sizing education
Important Note: This is a technical analysis tool for educational purposes only. All trading decisions should be based on comprehensive analysis and appropriate risk management. Past performance does not guarantee future results.
EMAs 60/125/250 + Swing-Struktur + CCI-AlertsEMAs 60/125/250 + Swing-Points + CCI-Alerts / crossover 100 /-100
Sanuja nuwanThe Zero Fear Indicator is a custom-built trading tool designed for confident and precise entries. Powered by real-time market structure, volume pressure, and volatility logic, it filters out noise and shows clear buy/sell signals with zero hesitation. Perfect for both beginners and experienced traders looking to trade without fear.
ETH Mean Reversion Strategy [VWAP + EMA + Bollinger]Mean Reversion Strategy using VWAP, EMA, and Bollinger Bands, with entry signals and target lines:
9 EMA Angle + Price % Filter//@version=5
indicator("9 EMA Angle + Price % Filter", overlay=true)
length = 9
emaLine = ta.ema(close, length)
// === INPUTS ===
angleThreshold = input.float(20, "EMA Angle Threshold (°)")
pricePercentThreshold = input.float(80, "Price % Above/Below EMA")
// === PRICE DISTANCE FROM EMA IN % ===
percentAbove = close >= emaLine ? ((close - emaLine) / emaLine) * 100 : 0
percentBelow = close < emaLine ? ((emaLine - close) / emaLine) * 100 : 0
// === ANGLE CALCULATION ===
lookbackBars = input.int(5, "Bars for Angle Calculation")
p1 = emaLine
p2 = emaLine
deltaY = p1 - p2
deltaX = lookbackBars
angleRadians = math.atan(deltaY / deltaX)
angleDegrees = angleRadians * 180 / math.pi
// === CONDITIONS ===
isFlat = percentAbove < pricePercentThreshold and percentBelow < pricePercentThreshold and angleDegrees > -angleThreshold and angleDegrees < angleThreshold
isPriceAbove = percentAbove >= pricePercentThreshold
isPriceBelow = percentBelow >= pricePercentThreshold
isAngleUp = angleDegrees >= angleThreshold
isAngleDown = angleDegrees <= -angleThreshold
// === EMA COLOR LOGIC ===
emaColor = isFlat ? color.black :
isAngleUp or isPriceAbove ? color.green :
isAngleDown or isPriceBelow ? color.red : color.gray
// === PLOT EMA ===
plot(emaLine, "9 EMA", color=emaColor, linewidth=2)
K Bands v2.2K Bands v2 - Settings Breakdown (Timeframe Agnostic)
K Bands v2 is an adaptive volatility envelope tool designed for flexibility across different trading
styles and timeframes.
The settings below allow complete control over how the bands are constructed, smoothed, and how
they respond to market volatility.
1. Upstream MA Type
Controls the core smoothing applied to price before calculating the bands.
Options:
- EMA: Fast, responsive, reacts quickly to price changes.
- SMA: Classic moving average, slower but provides stability.
- Hull: Ultra smooth, reduces noise significantly but may react differently to choppy conditions.
- GeoMean: Geometric mean smoothing, creates a unique, slightly smoother line.
- SMMA: Wilder-style smoothing, balances noise reduction and responsiveness.
- WMA: Weighted Moving Average, emphasizes recent price action for sharper responsiveness.
2. Smoothing Length
Lookback period for the upstream moving average.
- Lower values: Faster reaction, captures short-term shifts.
- Higher values: Smoother trend depiction, filters out noise.
3. Multiplier
Determines the width of the bands relative to calculated volatility.
- Lower multiplier: Tighter bands, more signals, but increased false breakouts.
- Higher multiplier: Wider bands, fewer false signals, more conservative.
4. Downstream MA Type
Applies final smoothing to the band plots after initial calculation.
Same options as Upstream MA.
5. Downstream Smoothing Length
Lookback period for downstream smoothing.
- Lower: More responsive bands.
- Higher: Smoother, visually cleaner bands.
6. Band Width Source
Selects the method used to calculate band width based on market volatility.
Options:
- ATR (Average True Range): Smooth, stable bands based on price range expansion.
- Stdev (Standard Deviation): More reactive bands highlighting short-term volatility spikes.
7. ATR Smoothing Type
Controls how the ATR or Stdev value is smoothed before applying to band width.
Options:
- Wilder: Classic, stable smoothing.
- SMA: Simple moving average smoothing.
- EMA: Faster, more reactive smoothing.
- Hull: Ultra-smooth, noise-reducing smoothing.
- GeoMean: Geometric mean smoothing.
8. ATR Length
Lookback period for smoothing the volatility measurement (ATR or Stdev).
- Lower: More reactive bands, captures quick shifts.
- Higher: Smoother, more stable bands.
9. Dynamic Multiplier Based on Volatility
Allows the band multiplier to adapt automatically to changes in market volatility.
- ON: Bands expand during high volatility and contract during low volatility.
- OFF: Bands remain fixed based on the set multiplier.
10. Dynamic Multiplier Sensitivity
Controls how aggressively the dynamic multiplier responds to volatility changes.
- Lower values: Subtle adjustments.
- Higher values: More aggressive band expansion/contraction.
K Bands v2 is designed to be adaptable across any market or timeframe, helping visualize price
structure, trend, and volatility behavior.
3.RSI LIJO 45*55//@version=6
indicator(title="3.RSI LIJO 45*55", shorttitle="RSI-LIJO-45-55", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
rsiLengthInput = input.int(9, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display=display.data_window, tooltip="Calculating divergences is needed in order for divergence alerts to fire.")
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
// Change RSI line color based on bands
rsiColor = rsi > 50 ? color.green : rsi < 50 ? color.red : color.white
rsiPlot = plot(rsi, "RSI", color=rsiColor)
rsiUpperBand = hline(55, "RSI Upper Band", color=color.rgb(5, 247, 22))
midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50))
rsiLowerBand = hline(45, "RSI Lower Band", color=color.rgb(225, 18, 14))
fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill")
midLinePlot = plot(50, color=na, editable=false, display=display.none)
fill(rsiPlot, midLinePlot, 100, 55, top_color=color.new(color.green, 0), bottom_color=color.new(color.green, 100), title="Overbought Gradient Fill")
fill(rsiPlot, midLinePlot, 45, 0, top_color=color.new(color.red, 100), bottom_color=color.new(color.red, 0), title="Oversold Gradient Fill")
// Smoothing MA inputs
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("SMA", "Type", options= , group=GRP, display=display.data_window)
maLengthInput = input.int(31, "Length", group=GRP, display=display.data_window)
bbMultInput = input.float(2.0, "BB StdDev", minval=0.001, maxval=50, step=0.5, tooltip=TT_BB, group=GRP, display=display.data_window)
var enableMA = maTypeInput != "None"
var isBB = maTypeInput == "SMA + Bollinger Bands"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na
plot(smoothingMA, "RSI-based MA", color=color.yellow, display=enableMA ? display.all : display.none, editable=enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title="Upper Bollinger Band", color=color.green, display=isBB ? display.all : display.none, editable=isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title="Lower Bollinger Band", color=color.green, display=isBB ? display.all : display.none, editable=isBB)
fill(bbUpperBand, bbLowerBand, color=isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display=isBB ? display.all : display.none, editable=isBB)
// Divergence
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
_inRange(bool cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
rsiLBR = rsi
if calculateDivergence
//------------------------------------------------------------------------------
// Regular Bullish
// rsi: Higher Low
plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))
rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound )
// Price: Lower Low
lowLBR = low
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and rsiHL and plFound
//------------------------------------------------------------------------------
// Regular Bearish
// rsi: Lower High
phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound )
// Price: Higher High
highLBR = high
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and rsiLH and phFound
plot(
plFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish",
linewidth = 2,
color = (bullCond ? bullColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bullCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish Label",
text = " Bull ",
style = shape.labelup,
location = location.absolute,
color = bullColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
plot(
phFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish",
linewidth = 2,
color = (bearCond ? bearColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bearCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish Label",
text = " Bear ",
style = shape.labeldown,
location = location.absolute,
color = bearColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, Pivot Lookback Right number of bars to the left of the current bar.")
alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, Pivot Lookback Right number of bars to the left of the current bar.')
KT Gaussian Bands🎯 Overview
KT Gaussian Bands is an advanced technical indicator that uses Gaussian-weighted smoothing to create dynamic support and resistance bands. This sophisticated algorithm provides high-quality buy and sell signals by filtering market noise and adapting to price volatility.
🔬 How It Works
The indicator employs a Gaussian weighting function to smooth price data, creating more accurate trend detection compared to traditional moving averages. The algorithm calculates:
Dynamic Upper Band (Resistance Level)
Dynamic Lower Band (Support Level)
Adaptive Signal Generation based on price interaction with bands
📊 Key Features
✨ Smart Signal Generation
🔺 BUY Signal: When price crosses below the lower band and bounces back up
🔻 SELL Signal: When price crosses above the upper band and drops back down
Real-time arrows displayed directly on the chart
⚙️ Customizable Parameters
Bandwidth (h): Controls the smoothness of the calculation (Default: 8.0)
Multiplier: Adjusts the sensitivity of the bands (Default: 3.0)
Source: Choose your preferred price source (Default: Close)
Repainting Mode: Toggle between real-time and historical accuracy
🎨 Visual Elements
Color-coded bands (Teal for upper, Red for lower)
Clear arrow signals for entry/exit points
Clean dashboard showing current mode status
📈 Trading Applications
Best Timeframes
Works effectively on all timeframes
Particularly strong on 15M, 1H, and 4H charts
Daily charts for swing trading setups
Trading Strategies
Trend Following: Use signals in the direction of the major trend
Mean Reversion: Trade bounces off the bands in ranging markets
Breakout Confirmation: Validate breakouts with band penetration
Risk Management
Use stop-loss below/above the opposite band
Position size based on band width (wider = higher volatility)
Combine with other indicators for confirmation
⚠️ Important Notes
Repainting Mode
Enabled: Shows the most accurate current analysis (may change on live bars)
Disabled: Historical signals remain fixed (recommended for backtesting)
Best Practices
Don't trade every signal - wait for high-probability setups
Consider market context and overall trend direction
Use proper risk management on every trade
Backtest on your preferred timeframes before live trading
🔧 Settings Guide
Bandwidth (8.0): Lower = More responsive, Higher = Smoother
Multiplier (3.0): Lower = More signals, Higher = Fewer but stronger signals
Repainting: Enable for live analysis, Disable for backtesting
📊 Performance Characteristics
Low Lag: Responds quickly to price changes
Noise Reduction: Filters out false signals effectively
Adaptive: Automatically adjusts to market volatility
Versatile: Works across different market conditions
🎓 Educational Value
This indicator demonstrates advanced mathematical concepts in trading:
Gaussian distribution applications in finance
Dynamic volatility adjustment
Weighted moving average techniques
⭐ Why Choose KT Gaussian Bands?
Mathematically Sound: Based on proven statistical methods
User-Friendly: Clear signals with minimal complexity
Flexible: Adapts to your trading style and timeframe
Reliable: Consistent performance across market conditions
Disclaimer: This indicator is for educational and informational purposes only. Always use proper risk management and never risk more than you can afford to lose. Past performance does not guarantee future results.