[DIP] Double Bollinger BandClassic Bollinger Bands based off of the SMA. Allowing choice between the 2nd and 3rd standard deviation or showing both. By default it is colored such that the 2nd deviation jumps out more while the 3rd deviation lurks in the background for the sake of clarity. For those who are not just satisfied with 2 OR 3 standard deviations, you can now have both.
All deviations have default cross-over and cross-under alerts for easy access, no more messing with which line is which although that is certainly still possible.
Includes a default for "Any alert() function call" condition, if you enable this alert it will trigger for any of the alert conditions when met, this allows you to use one alert instead of 6. The alert will include a message identifying which alert it is, especially useful for watchlist wide alerts.
Bollinger Bantları (BB)
BB with Heikin Ashi + Reversal CheckThis indicator combines Bollinger Bands (BB) with Heikin Ashi candles to detect potential reversal points after price breaks the BB boundaries. It works on any symbol and timeframe, retrieving Heikin Ashi data via request.security().
Core Features
Heikin Ashi Candle Plot
Smooths price action by using Heikin Ashi candles instead of regular candles.
Candles are plotted directly on the chart with green (bullish) and red (bearish) colors.
Bollinger Bands (BB)
Calculated from Heikin Ashi close price.
Includes Basis (MA), Upper Band, and Lower Band, with customizable MA type, length, and standard deviation multiplier.
Break & Reversal Detection
The indicator tracks whether the price has broken above the Upper Band (p1) or below the Lower Band (p2).
It remembers the last breakout direction until the opposite breakout occurs (mutually exclusive logic).
Signal Logic
Long Signal (▲):
Price was previously below the Lower Band and then reversed upward (BB Lower rising + Heikin Ashi candle rising).
Short Signal (▼):
Price was previously above the Upper Band and then reversed downward (BB Upper falling + Heikin Ashi candle falling).
Alerts
Custom alert conditions trigger when Long or Short signals occur, allowing automated notifications or bot integration.
Use Cases
✅ Swing Trading / Trend Reversal – Identify potential bottom/top reversals after BB breakouts.
✅ Mean Reversion Strategies – Enter trades when the price reverts to the BB mean after an extreme breakout.
✅ Multi-Timeframe Analysis – Works with any timeframe and symbol via request.security().
Customization
MA Type: SMA, EMA, RMA, WMA, VWMA
BB Length & StdDev Multiplier
Timeframe & Symbol Selection
Squeeze with DojiThis script indicates Bollinger band squeeze into Keltner channels to identify the contraction of price and Doji candle formation, potentially leading up to the momentum expansion in price.
Add your preferable volume or price indicators on top of this volatility contraction indicator.
Feel free to use and share your feedback.
Penguin Volatility State StrategyPenguin Volatility State Strategy
This document provides details on the "Penguin Volatility State" trading strategy for the TradingView platform. It is a strategy designed to identify different market conditions and execute trades based on momentum and volatility.
Overview
This strategy uses a combination of several popular indicators, including Bollinger Bands (BB), Keltner Channels (KC), Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI), to classify the market into four main states, represented by different colors on the chart:
Green: Strong uptrend.
Red: Strong downtrend.
Yellow: A pullback or consolidation phase within an uptrend (potential reversal signal).
Blue: A pullback or consolidation phase within a downtrend (potential reversal signal).
The goal of the strategy is to enter trades in the direction of the strong trend (Green and Red states) and allow the user to filter out noise during sideways market conditions (Yellow and Blue states).
How the Indicators Work
Bollinger Bands & Keltner Channels: Used to measure market volatility. The difference between the width of the BB and KC (diff) is used to calculate an RSI to measure the "acceleration" of volatility.
EMAs (Fast & Slow): Used to determine the primary trend direction. If the fast EMA is above the slow EMA, it is considered an uptrend, and vice versa.
RSI of Diff: This is the core component for measuring the momentum of volatility. When this RSI value is above its own moving average, it signifies strong momentum, which is a key condition for entering a trade.
Filters and Strategy Logic
Users can customize the strategy's behavior through three main filters:
Filter Sideways Markets (RULE 1): If enabled, the strategy will only enter trades in the Green state (for Longs) and Red state (for Shorts), avoiding sideways conditions (Yellow and Blue).
Trade Only on Strong Momentum (RULE 2): If enabled, the strategy will only enter trades when there is strong momentum (when the RSI of Diff is above its moving average).
Enter/Exit on Exact Transition (RULE 3): If enabled, the strategy will enter and exit orders only at the exact crossover of the RSI of Diff and its moving average. This can lead to more precise entries/exits but may also cause some opportunities to be missed.
Inputs
BB/KC Length: The number of bars used to calculate Bollinger Bands and Keltner Channels.
BB Multiplier: The standard deviation multiplier for the Bollinger Bands.
KC Multiplier: The ATR multiplier for the Keltner Channels.
Fast EMA Length: The number of bars for the fast EMA.
Slow EMA Length: The number of bars for the slow EMA.
RSI of Diff Length: The number of bars for the RSI of diff.
SMA of RSI Length: The number of bars for the moving average of the RSI of Diff.
Trade Direction: Choose to trade Long Only, Short Only, or Both.
Filters (RULE 1, 2, 3): Enable/disable the filters as described above.
Pine Script Code
Here is the full code for the strategy. You can copy and paste it into the Pine Editor on TradingView.
//@version=5
strategy("Penguin Volatility State Strategy", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_value=0.075)
// ===================================================================
// INPUTS
// ===================================================================
// --- Indicator Settings ---
string group_indicators = "Indicator Settings"
bb_len = input.int(20, "BB/KC Length", group=group_indicators)
bb_mult = input.float(2.0, "BB Multiplier", group=group_indicators)
kc_mult = input.float(2.0, "KC Multiplier", group=group_indicators)
ema_fast_len = input.int(12, "Fast EMA Length", group=group_indicators)
ema_slow_len = input.int(26, "Slow EMA Length", group=group_indicators)
rsi_diff_len = input.int(14, "RSI of Diff Length", group=group_indicators)
rsi_avg_len = input.int(7, "SMA of RSI Length", group=group_indicators)
// --- Strategy Filter Settings ---
string group_filters = "Strategy Filters"
trade_direction = input.string("Both", "Trade Direction", options= , group=group_filters)
use_regime_filter = input.bool(true, "RULE 1: Filter Sideways Markets (Yellow & Blue)?", group=group_filters)
use_strength_filter = input.bool(true, "RULE 2: Trade Only on Strong Momentum (RSI Accel)?", group=group_filters)
use_timing_filter = input.bool(false, "RULE 3: Enter/Exit on Exact Transition?", group=group_filters)
// ===================================================================
// INDICATOR CALCULATIONS
// ===================================================================
// --- Bollinger Bands & Keltner Channel ---
basisBB = ta.sma(close, bb_len)
dev = bb_mult * ta.stdev(close, bb_len)
upperBB = basisBB + dev
lowerBB = basisBB - dev
atr = ta.atr(bb_len)
upperKC = basisBB + kc_mult * atr
lowerKC = basisBB - kc_mult * atr
// --- Diff & RSI of Diff Calculation ---
diff = (upperBB - upperKC) / upperKC * 100
diff_change = ta.change(diff)
up = ta.rma(math.max(diff_change, 0), rsi_diff_len)
down = ta.rma(-math.min(diff_change, 0), rsi_diff_len)
rsi_diff = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsi_diff2 = ta.sma(rsi_diff, rsi_avg_len)
// --- EMAs for Market State ---
fast_ma = ta.ema(close, ema_fast_len)
slow_ma = ta.ema(close, ema_slow_len)
apcdc = ta.ema(ohlc4, 2)
// ===================================================================
// STATE DEFINITIONS
// ===================================================================
isBullishTrend = fast_ma > slow_ma
isBearishTrend = fast_ma < slow_ma
isGreen = isBullishTrend and apcdc > fast_ma
isRed = isBearishTrend and apcdc < fast_ma
isYellow = isBullishTrend and apcdc < fast_ma
isBlue = isBearishTrend and apcdc > fast_ma
isRsiAccel = rsi_diff > rsi_diff2
// ===================================================================
// STRATEGY LOGIC
// ===================================================================
// --- Apply Filters to define tradable conditions ---
can_long_base = use_regime_filter ? isGreen : (isGreen or isYellow)
can_short_base = use_regime_filter ? isRed : (isRed or isBlue)
long_condition = use_strength_filter ? can_long_base and isRsiAccel : can_long_base
short_condition = use_strength_filter ? can_short_base and isRsiAccel : can_short_base
entry_long_timing = ta.crossunder(rsi_diff2, rsi_diff) and can_long_base
exit_long_timing = ta.crossunder(rsi_diff, rsi_diff2)
entry_short_timing = ta.crossunder(rsi_diff2, rsi_diff) and can_short_base
exit_short_timing = ta.crossunder(rsi_diff, rsi_diff2)
// --- Determine Final Entry/Exit Conditions ---
final_entry_long = use_timing_filter ? entry_long_timing : long_condition
final_exit_long = use_timing_filter ? exit_long_timing : not long_condition
final_entry_short = use_timing_filter ? entry_short_timing : short_condition
final_exit_short = use_timing_filter ? exit_short_timing : not short_condition
// --- Check Trade Direction permission ---
allow_long = trade_direction == "Both" or trade_direction == "Long Only"
allow_short = trade_direction == "Both" or trade_direction == "Short Only"
// --- Execute Trades ---
if (final_entry_long and allow_long)
strategy.entry("Long", strategy.long)
if (final_exit_long)
strategy.close("Long")
if (final_entry_short and allow_short)
strategy.entry("Short", strategy.short)
if (final_exit_short)
strategy.close("Short")
// ===================================================================
// VISUALIZATION
// ===================================================================
bgcolor(isGreen ? color.new(color.green, 85) : isRed ? color.new(color.red, 85) : isYellow ? color.new(color.yellow, 85) : isBlue ? color.new(color.blue, 85) : na)
Disclaimer
This strategy is provided for educational and informational purposes only and is not financial advice.
Past performance from backtesting does not guarantee future results.
Trading involves risk. Investors should conduct their own research and exercise due diligence before making any investment decisions and should manage their own risk.
Debit Spread POMDP‑Inspired StrategyComprehensive Strategy for TradingView-Based Call and Put Debit Spread Options Using POMDP for Signal Generation
Debit spreads limit risk to the net premium paid while capping potential profit, ideal for moderate price predictions.
Pine Script in TradingView enables custom indicator integration and strategy automation for options trading.
Partially Observable Markov Decision Processes (POMDPs) optimize decision-making under market uncertainty by modeling states, actions, and observations.
Training a POMDP policy involves defining market states, actions, and observations from technical indicators, then simulating and refining the policy.
Automating the strategy via agents or TradingView alerts can execute trades when conditions align with the POMDP-generated signals.
Volatility Radar + Classic StochVolatility Radar + Classic Stoch
This indicator detects volatility squeezes by measuring Bollinger Bands tightness relative to recent history and confirms potential breakout strength using multiple factors:
Bollinger Bands bandwidth percentile to identify tight and super-tight squeezes
TTM Squeeze confirmation via Keltner Channels
Volume spikes indicating rising market interest
ADX trend strength to gauge directional momentum
Classic Stochastic oscillator to signal overbought/oversold conditions
A composite volatility score ranks the overall setup strength with intuitive color-coded background and a real-time label.
Use this tool to anticipate volatility expansions and improve timing for breakout trades.
BB Squeeze Flash (Overlay)SDC BB Squeeze Indicator - tells you when the BBs are getting super tight - made for GME but can be used anywhere i guess - TV told me i need to write more here to publish the indicator so here i am typing away ok hope this is enough characters
Price Volume Trend [sgbpulse]1. Introduction: What is Price Volume Trend (PVT)?
The Price Volume Trend (PVT) indicator is a powerful technical analysis tool designed to measure buying and selling pressure in the market based on price changes relative to trading volume. Unlike other indicators that focus solely on volume or price, PVT combines both components to provide a more comprehensive picture of trend strength.
How is it Calculated?
The PVT is calculated by adding or subtracting a proportional part of the daily volume from a cumulative total.
When the closing price rises, a proportional part of the daily volume (based on the percentage price change) is added to the previous PVT value.
When the closing price falls, a proportional part of the daily volume is subtracted from the previous PVT value.
If there is no change in price, the PVT value remains unchanged.
The result of this calculation is a cumulative line that rises when buying pressure is strong and falls when selling pressure dominates.
2. Why PVT? Comparison to Similar Indicators
While other indicators measure volume-price pressure, PVT offers a unique advantage:
PVT vs. On-Balance Volume (OBV):
OBV simply adds or subtracts the entire day's volume based on the closing direction (up/down), regardless of the magnitude of the price change. This means a 0.1% price change is treated the same as a 10% change.
PVT, on the other hand, gives proportional weight to volume based on the percentage price change. A trading day with a large price increase and high volume will impact the PVT significantly more than a small price increase with the same volume. This makes PVT more sensitive to trend strength and changes within it.
PVT vs. Accumulation/Distribution Line (A/D Line):
The A/D Line focuses on the relationship between the closing price and the bar's trading range (Close Location Value) and multiplies it by volume. It indicates whether the pressure is buying or selling within a single bar.
PVT focuses on the change between closing prices of consecutive bars, multiplying this by volume. It better reflects the flow of money into or out of an asset over time.
By combining volume with percentage price change, PVT provides deeper insights into trend confirmation, identifying divergences between price and volume, and spotting signs of weakness or strength in the current trend.
3. Indicator Settings (Inputs)
The "Price Volume Trend " indicator offers great flexibility for customization to your specific needs through the following settings:
Moving Average Type: Allows you to select the type of moving average used for the central line on the PVT. Your choice here will affect the line's responsiveness to PVT movements.
- "None" : No moving average will be displayed on the PVT.
- "SMA" (Simple Moving Average): A simple average, smoother, ideal for identifying longer-term trends in PVT.
- "SMA + Bollinger Bands": This unique option not only displays a Simple Moving Average but also activates the Bollinger Bands around the PVT. This is the recommended option for analyzing volatility and ranges using Bollinger Bands.
- "EMA" (Exponential Moving Average): An exponential average, giving more weight to recent data, responding faster to changes in PVT.
- "SMMA (RMA)" (Smoothed Moving Average): A smoothed average, providing extra smoothing, less sensitive to noise.
- "WMA" (Weighted Moving Average): A weighted average, giving progressively more weight to recent data, responding very quickly to changes in PVT.
Moving Average Length: Defines the number of bars used to calculate the moving average (and, if applicable, the standard deviation for the Bollinger Bands). A lower value will make the line more responsive, while a higher value will smooth it out.
PVT BB StdDev (Bollinger Bands Standard Deviation): Determines the width of the Bollinger Bands. A higher value will result in wider bands, making it less likely for the PVT to cross them. The standard value is 2.0.
4. Visual Aid: Current PVT Level Line
This indicator includes a unique and highly useful visual feature: a dynamic horizontal line displayed on the PVT graph.
Purpose: This line marks the exact level of the PVT on the most recent trading bar. It extends across the entire chart, allowing for a quick and intuitive comparison of the current level to past levels.
Why is it Important?
- Identifying Divergences: Often, an asset's price may be lower or higher than past levels, but the PVT level might be different. This auxiliary line makes it easy to spot situations where PVT is at a higher level when the price is lower, or vice-versa, which can signal potential trend changes (e.g., higher PVT than in the past while price is low could indicate strong accumulation).
- Quick Direction Indication: The line's color changes dynamically: it will be green if the PVT value on the last bar has increased (or remained the same) relative to the previous bar (indicating positive buying pressure), and red if the PVT value has decreased relative to the previous bar (indicating selling pressure). This provides an immediate visual cue about the direction of the cumulative momentum.
5. Important Note: Trading Risk
This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever.
Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Institutional Sweep Zone (Range-Based)Institutional Sweep Zone (Range-Based)
This indicator models potential stop sweep zones based on institutional capital ranges, helping traders visualize where high-probability liquidity grabs are likely to occur.
Unlike traditional volatility bands, this tool estimates price movement by calculating how far a specific amount of capital—entered into the market—can push price. By defining a lower and upper capital range (in millions of USD), the indicator dynamically draws bands representing the distance institutions could realistically move price in either direction.
It supports directional control, allowing you to focus on long sweeps, short sweeps, or both simultaneously. The pip cost is auto-calibrated based on the selected currency pair, making it highly adaptive to major FX pairs.
Key Features:
-Capital input range (in millions of USD)
-Directional sweep targeting: Long, Short, or Both
-Auto-detection of pip value based on FX pair
-Visual sweep zone mapped above and below current price
-Designed to highlight areas of institutional stop hunts
Why use it?
-Helps avoid setting stops inside common sweep zones
-Improves trade survivability when paired with higher timeframe strategies
-Offers a unique way to view price through an institutional lens
Created by: The_Forex_Steward
Explore more advanced tools and concepts on my TradingView profile.
Trend Strength Oscillator📌 Trend Strength Oscillator
📄 Description
Trend Strength Oscillator measures the directional strength of price relative to an adaptive dynamic trend band. It evaluates how far the current price is from the midpoint of a trend channel and normalizes this value by recent volatility range, allowing traders to detect trend strength, direction, and potential exhaustion in any market condition.
📌 Features
🔹 Adaptive Trend Band Logic: Uses a modified ATR and time-dependent spread formula to dynamically adjust upper and lower trend bands.
🔹 Trendline Midpoint Calculation: The central trendline is defined as the average between upper and lower bands.
🔹 Relative Positioning: Measures how far the close is from the center of the band as a percentage.
🔹 Range Normalization: Uses a normalized range to account for recent volatility, reducing noise in the oscillator reading.
🔹 Oscillator Output (±100 scale):
+100 indicates strong bullish momentum
-100 indicates strong bearish momentum
0 is the neutral centerline
🛠️ How to Use
✅ Trend Strength > +50: Indicates a strong bullish phase.
✅ Trend Strength < -50: Indicates a strong bearish phase.
⚠️ Crossing above 0: Potential bullish trend initiation.
⚠️ Crossing below 0: Potential bearish trend initiation.
📉 Values near 0: Suggest trend weakness or ranging conditions.
Best suited timeframes: 1H, 4H, Daily
Ideal combination with: RSI, MACD, volume-based oscillators, moving average crosses
✅ TradingView House Rules Compliance
This indicator is written in Pine Script v5 and fully open-source.
The script does not repaint, does not generate false alerts, and does not access external or private data.
It is intended strictly as a technical analysis tool, and not a buy/sell signal generator.
Users are encouraged to combine this tool with other confirmations and independent judgment in trading decisions.
=========================================================
📌 Trend Strength Oscillator
📄 설명 (Description)
Trend Strength Oscillator는 가격이 동적 추세 밴드 내 어디에 위치해 있는지를 정량적으로 분석하여, 추세의 방향성과 강도를 시각적으로 보여주는 오실레이터 지표입니다. 최근 변동성을 반영한 밴드를 기반으로 가격 위치를 정규화하여, 과매수·과매도 상태나 추세의 소멸 가능성까지 탐지할 수 있도록 설계되었습니다.
📌 주요 특징 (Features)
🔹 적응형 추세 밴드 계산: ATR과 시간 경과를 기반으로 상단/하단 밴드를 동적으로 조정
🔹 중심 추세선 산출: 상단과 하단 밴드의 평균값을 중심선으로 활용하여 기준 축 제공
🔹 상대 위치 계산: 현재 종가가 중심선에서 얼마나 떨어져 있는지를 정규화하여 추세 강도 계산
🔹 변동성 기반 정규화: 최근 밴드 범위를 기준으로 상대 거리를 0~100 사이 값으로 변환
🔹 오실레이터 출력 (범위: ±100):
+100에 가까울수록 강한 상승 추세
-100에 가까울수록 강한 하락 추세
0에 가까울수록 횡보 구간 가능성
🛠️ 사용법 (How to Use)
✅ +50 이상: 강한 상승 추세 지속 중
✅ -50 이하: 강한 하락 추세 지속 중
⚠️ 0선 돌파 상향: 상승 추세 시작 가능성
⚠️ 0선 돌파 하향: 하락 추세 시작 가능성
🟡 0 근처 유지: 추세 약화 또는 횡보장 가능성
추천 시간대: 1시간봉, 4시간봉, 일봉
보조 지표로 추천: RSI, MACD, OBV, 이동평균 크로스 등과 함께 활용 시 효과적
✅ 트레이딩뷰 하우스룰 준수사항 (TradingView House Rules Compliance)
본 지표는 Pine Script v5로 작성된 오픈소스 공개용 스크립트입니다.
리페인트(Repaint) 현상이 없으며, **허위 경고(Spam Alerts)**나 성능 저하 요소도 없습니다.
외부 데이터 접근 없이 완전히 자체 계산으로 동작합니다.
이 지표는 투자 판단을 돕기 위한 분석용 도구이며, 직접적인 매수·매도 신호로 사용해서는 안 됩니다.
모든 트레이딩은 사용자의 독립적인 판단과 책임 하에 이루어져야 합니다.
Trend Band Oscillator📌 Trend Band Oscillator
📄 Description
Trend Band Oscillator is a momentum-based trend indicator that calculates the spread between two EMAs and overlays it with a volatility filter using a standard deviation band. It helps traders visualize not only the trend direction but also the strength and stability of the trend.
📌 Features
🔹 EMA Spread Calculation: Measures the difference between a fast and slow EMA to quantify short-term vs mid-term trend dynamics.
🔹 Volatility Band Overlay: Applies an EMA of standard deviation to the spread to filter noise and highlight valid momentum shifts.
🔹 Color-Based Visualization: Positive spread values are shown in lime (bullish), negative values in fuchsia (bearish) for quick directional insight.
🔹 Upper/Lower Bands: Help detect potential overbought/oversold conditions or strong trend continuation.
🔹 Zero Line Reference: A horizontal baseline at zero helps identify trend reversals and neutral zones.
🛠️ How to Use
✅ Spread > 0: Indicates a bullish trend. Consider maintaining or entering long positions.
✅ Spread < 0: Indicates a bearish trend. Consider maintaining or entering short positions.
⚠️ Spread exceeds bands: May signal overextension or strong momentum; consider using with additional confirmation indicators.
🔄 Band convergence: Suggests weakening trend and potential transition to a ranging market.
Recommended timeframes: 1H, 4H, Daily
Suggested complementary indicators: RSI, MACD, OBV, SuperTrend
✅ TradingView House Rules Compliance
This script is open-source and published under Pine Script v5.
It does not repaint, spam alerts, or cause performance issues.
It is designed as an analytical aid only and should not be considered financial advice.
All calculations are transparent, and no external data sources or insecure functions are used.
====================================================================
📌 Trend Band Oscillator
📄 설명 (Description)
Trend Band Oscillator는 두 개의 EMA 간 스프레드(차이)를 기반으로 한 모멘텀 중심의 추세 오실레이터입니다. 여기에 표준편차 기반의 변동성 밴드를 적용하여, 추세의 방향뿐 아니라 강도와 안정성까지 시각적으로 분석할 수 있도록 설계되었습니다.
📌 주요 특징 (Features)
🔹 EMA 기반 스프레드 계산: Fast EMA와 Slow EMA의 차이를 활용해 시장 추세를 정량적으로 표현합니다.
🔹 표준편차 필터링: Spread에 대해 EMA 및 표준편차 기반의 밴드를 적용해 노이즈를 줄이고 유효한 추세를 강조합니다.
🔹 컬러 기반 시각화: 오실레이터 값이 양수일 경우 초록색, 음수일 경우 마젠타 색으로 추세 방향을 직관적으로 파악할 수 있습니다.
🔹 밴드 범위 시각화: 상·하위 밴드를 통해 스프레드의 평균 편차 범위를 보여주며, 추세의 강약과 포화 여부를 진단할 수 있습니다.
🔹 제로 라인 표시: 추세 전환 가능 지점을 시각적으로 확인할 수 있도록 중심선(0선)을 제공합니다.
🛠️ 사용법 (How to Use)
✅ 오실레이터가 0 이상 유지: 상승 추세 구간이며, 롱 포지션 유지 또는 진입 검토
✅ 오실레이터가 0 이하 유지: 하락 추세 구간이며, 숏 포지션 유지 또는 진입 검토
⚠️ 상·하위 밴드를 이탈: 일시적인 과매수/과매도 혹은 강한 추세 발현 가능성 있음 → 다른 보조지표와 함께 필터링 권장
🔄 밴드 수렴: 추세가 약해지고 있음을 나타냄 → 변동성 하락 또는 방향성 상실 가능성 있음
권장 적용 시간대: 1시간봉, 4시간봉, 일봉
보조 적용 지표: RSI, MACD, OBV, SuperTrend 등과 함께 사용 시 신호 필터링에 유리
✅ 트레이딩뷰 하우스룰 준수사항 (TV House Rules Compliance)
이 지표는 **무료 공개용(Open-Source)**이며, Pine Script Version 5로 작성되어 있습니다.
과도한 리페인트, 비정상적 반복 경고(alert spam), 실시간 성능 저하 등의 요소는 포함되어 있지 않습니다.
사용자는 본 지표를 투자 결정의 참고용 보조 도구로 활용해야 하며, 독립적인 매매 판단이 필요합니다.
데이터 소스 및 계산 방식은 완전히 공개되어 있으며, 외부 API나 보안 취약점을 유발하는 구성 요소는 없습니다.
H BollingerBollinger Bands are a widely used technical analysis indicator that helps spot relative price highs and lows. The tool comprises three lines: a central band representing the 20-period simple moving average (SMA), and upper and lower bands usually placed two standard deviations above and below the SMA. These bands adjust with market volatility, offering insights into price fluctuations and trading conditions.
How this indicator works
Bollinger Bands helps traders assess price volatility and potential price reversals. They consist of three bands: the middle band, the upper band, and the lower band. Here's how Bollinger Bands work:
Middle band: This is typically a simple moving average (SMA) of the asset's price over a specified period. The most common period used is 20 days.
Upper band: This is calculated by adding a specified number of standard deviations to the middle band. The standard deviation measures the asset's price volatility. Commonly, two standard deviations are added to the middle band.
Lower band: Similar to the upper band, it is calculated by subtracting a specified number of standard deviations from the middle band.
What do Bollinger Bands tell you?
Bollinger bands primarily indicate the level of market volatility and trading opportunities. Narrow bands indicate low market volatility, while wide bands suggest high market volatility. Bollinger bands indicators can be used by traders to assess potential buy or sell signals. For instance, a sell signal may be interpreted or generated if the asset’s price moves closer or crosses the upper band, as it may indicate that the asset is overbought. Alternatively, a buy signal may be interpreted or generated if the price moves closer to the lower band, as it may signify that the asset is oversold.
However, traders should be cautious when using Bollinger Bands as standalone indicators when making trading decisions. Experienced traders refrain from confirming signals based on one indicator. Instead, they generally combine various technical indicators and fundamental analysis methods to make informed trading decisions. Basing trading decisions on only one indicator can result in misinterpretation of signals and heavy losses.
Bollinger Bands assist in identifying whether prices are relatively high or low. They are applied as a pair—upper and lower bands—alongside a moving average. However, these bands are not designed to be used in isolation. Instead, they should be used to validate signals generated by other technical indicators.
Calculation of Bollinger Band
Faytterro Bands Breakout📌 Faytterro Bands Breakout 📌
This indicator was created as a strategy showcase for another script: Faytterro Bands
It’s meant to demonstrate a simple breakout strategy based on Faytterro Bands logic and includes performance tracking.
❓ What Is It?
This script is a visual breakout strategy based on a custom moving average and dynamic deviation bands, similar in concept to Bollinger Bands but with unique smoothing (centered regression) and performance features.
🔍 What Does It Do?
Detects breakouts above or below the Faytterro Band.
Plots visual trade entries and exits.
Labels each trade with percentage return.
Draws profit/loss lines for every trade.
Shows cumulative performance (compounded return).
Displays key metrics in the top-right corner:
Total Return
Win Rate
Total Trades
Number of Wins / Losses
🛠 How Does It Work?
Bullish Breakout: When price crosses above the upper band and stays above the midline.
Bearish Breakout: When price crosses below the lower band and stays below the midline.
Each trade is held until breakout invalidation, not a fixed TP/SL.
Trades are compounded, i.e., profits stack up realistically over time.
📈 Best Use Cases:
For traders who want to experiment with breakout strategies.
For visual learners who want to study past breakouts with performance metrics.
As a template to develop your own logic on top of Faytterro Bands.
⚠ Notes:
This is a strategy-like visual indicator, not an automated backtest.
It doesn't use strategy.* commands, so you can still use alerts and visuals.
You can tweak the logic to create your own backtest-ready strategy.
Unlike the original Faytterro Bands, this script does not repaint and is fully stable on closed candles.
RSI-BBGun-v6.1RSI BB Gun – Operator's Guide
“Eyes on target. Wait for the right moment. Then strike.”
________________________________________
🎯 Mission Objective
RSI BB Gun identifies extreme market conditions using RSI and Bollinger Bands, then overlays trend and volatility intelligence so you know when the setup is real.
The ❌ is your target acquisition signal—price just moved from an extreme zone back into play. Now you’ve got a clean radar lock.
________________________________________
📡 How to Operate
🟣 Step 1: Watch for the ❌'s (Black X = RSI & Bollinger Band Extremes Encountered)
• The Purple X means price and RSI are both stretched—and just snapped back into range.
• The target is now in the cross hairs and potentially ready for engagement.
🟥 Step 2: Confirm the Trend
• The thick ribbon tells you if the trend is with you:
o 🟢 Green = Uptrend. Focus on long setups.
o 🔴 Red = Downtrend. Focus on puts or short plays.
• Align with trend. Only engage when the field favors your position.
🔺 Step 3: Evaluate Signal Context
• Green Triangles = price just crossed below lower Bollinger Band (oversold).
• Red Triangles = price crossed above upper Band (overbought).
• Horizontal Lines Disappeared = The bar after the green or red horizontal line disappears means its time. We patiently wait for this as it means the momentum may be changing.
• These are your early indicators—they scout the setup on the GO / NO GO DECISION.
• ❌ + triangle + trend = clean shot.
________________________________________
☁️ Avoid These Situations
• ❌ in a choppy/no-trend zone = false alarm. Don’t engage.
• Repeated black ❌s without a purple ❌confirmation = low conviction. Let it go.
________________________________________
________________________________________
🪖 Operator's Mindset
“You don’t chase trades. You stalk them. When the ❌ flashes, the system has found a target. What you do next is up to your discipline, your tools, and your plan.”
________________________________________
Note: This is a free version. Upcoming paid version includes multi-timeframes working together. Multiple strategies. Volatility meter. Make money and master the BB Gun so that you can elevate to the Snipers weapon.
🔒 Want More Firepower?
Upgraded version coming soon. Unlocks next-gen targeting tools:
• Multi-timeframe RSI intelligence in a live dashboard
• Precision-timed combo signals based on layered volatility + RSI logic
• Advanced trend filters, trade zone overlays, and sniper-level entry indicators
• Ideal for swing traders and options strategists who want clarity under pressure
💥 Budget-friendly. No subscription. Upgrade when you're ready to go Pro.
Tip: Make 4+ trades mastering this setup. Then use a small portion of the trades to gain more features. Always be in a position you cannot lose.
🆚 Why This Beats Standard RSI/BB Tools
Mission Feature Basic Indicators RSI Ribbon Lite
Trend Confirmation ❌ ✅ Ribbon Overlay
Multi-Timeframe Awareness ❌ ✅ 5-Timeframe RSI Grid
Volatility Confirmation ❌ ✅ Weighted ATR Scoring
Combo Signal Alerts ❌ ✅ ❌ Reentry Combo Alerts
TradingView Alerts ❌ ✅ Built-In Radar Ping
#rsi #bb #bollingerbands #hull ma #trend
Volatility & Momentum Nexus (VMN)Volatility & Momentum Nexus (VMN)
This indicator was designed to solve a common trader's problem: chart clutter from dozens of indicators that often contradict each other. The Volatility & Momentum Nexus ( VMN ) is not just another indicator; it's a complete analysis system that synthesizes four essential market pillars into a single, clean, and intuitive visual signal.
The goal of VMN is to identify high-probability moments where a period of accumulation (low volatility) is about to erupt into an explosive move, confirmed by trend, momentum, and volume.
VMN analyzes the real-time confluence of four critical elements:
The Trend (The Main Filter): A 100-period Exponential Moving Average (EMA) sets the overall context. The indicator will only look for buy signals above this line (in an uptrend) and sell signals below it (in a downtrend). The line's color changes for quick visualization.
Volatility (Energy Accumulation): Using Bollinger Bands Width (BBW), the indicator identifies "Squeeze" periods—when the price contracts and builds up energy. These zones are marked with a yellow background on the chart, signaling that a major move is imminent.
Momentum (The Trigger): An RSI (Relative Strength Index) acts as the trigger. A signal is only validated if momentum confirms the direction of the breakout (e.g., RSI > 55 for a buy), ensuring we enter the market with force.
Volume (The Final Confirmation): No breakout move is credible without volume. VMN checks if the volume at the time of the signal is significantly higher than its recent average, adding a vital layer of confirmation.
Green Arrow (Buy Signal): Appears ONLY when ALL the following conditions are met simultaneously:
Price is above the 100 EMA (Bullish Trend).
The chart is exiting a Squeeze zone (yellow background on the previous bar).
Price breaks above the upper Bollinger Band.
RSI is above the buy threshold (default 55).
Volume is above average.
Red Arrow (Sell Signal): Appears ONLY when all the opposite conditions are met.
Do not treat signals as blind commands to trade. They are high-probability confirmations.
Look for signals near key Support/Resistance levels for an even higher success rate.
Always set a Stop Loss (e.g., below the low of the signal candle or below the lower Bollinger Band for a buy).
All parameters (EMA, RSI, Bollinger Bands lengths, thresholds, etc.) can be customized from the settings menu to adapt the indicator to any financial asset or timeframe.
Disclaimer: This indicator is a tool for educational and analytical purposes. It does not constitute and should not be interpreted as financial advice. Trading involves significant risk. Always perform your own analysis and backtesting before risking real capital.
[Mad]Triple Bollinger Bands ForecastTriple Bollinger Bands Forecast (BBx3+F)
This open-source indicator is an advanced version of the classic Bollinger Bands, designed to provide a more comprehensive and forward-looking view of market volatility and potential price levels.
It plots three distinct sets of Bollinger Bands and projects them into the future based on statistical calculations.
How It Is Built and Key Features
Triple Bollinger Bands: Instead of a single set of bands, this indicator plots three. All three share the same central basis line (a Simple Moving Average), but each has a different standard deviation multiplier. This creates three distinct volatility zones for analyzing price deviation from its mean.
Multi-Timeframe (MTF) Capability: The indicator can calculate and display Bollinger Bands from a higher timeframe (e.g., showing daily bands on a 4-hour chart). This allows for contextualizing price action within the volatility structure of a more significant trend.
(Lower HTF selection will result in script-crash!)
Future Forecasting: This is the indicator's main feature. It projects the calculated Bollinger Bands up to 8 bars into the future. This forecast is a recalculation of the Simple Moving Average and Standard Deviation based on a projected future source price.
Selectable Forecast Methods: The mathematical model for estimating the future source price can be selected:
Flat: A model that uses the most recent closing price as the price for all future bars in the calculation window.
Linreg (Linear Regression): A model that calculates a linear regression trend on the last few bars and projects it forward to estimate the future source price.
Efficient Drawing with Polylines: The future projections are drawn on the chart using Pine Script's polyline object. This is an efficient method that draws the forecast data only on the last bar, which avoids repainting issues.
Differences from a Classical Bollinger Bands Indicator
Band Count: A classical indicator shows one set of bands. This indicator plots three sets for a multi-layered view of volatility.
Perspective: Classical Bollinger Bands are purely historical. This indicator is both historical and forward-looking .
Forecasting: The classic version has no forecasting capability. This indicator projects the bands into the future .
Timeframe: The classic version works only on the current timeframe. This indicator has full Multi-Timeframe (MTF) support .
The Mathematics Behind the Future Predictions
The core challenge in forecasting Bollinger Bands is that a future band value depends on future prices, which are unknown. This indicator solves this by simulating a future price series. Here is the step-by-step logic:
Forecast the Source Price for the Next Bar
First, the indicator estimates what the price will be on the next bar.
Flat Method: The forecasted price is the current bar's closing price.
Price_forecast = close
Linreg Method: A linear regression is calculated on the last few bars and extrapolated one step forward.
Price_forecast = ta.linreg(close, linreglen, 1)
Calculate the Future SMA (Basis)
To calculate the Simple Moving Average for the next bar, a new data window is simulated. This window includes the new forecasted price and drops the oldest historical price. For a 1-bar forecast, the calculation is:
SMA_future = (Price_forecast + close + close + ... + close ) / length
Calculate the Future Standard Deviation
Similarly, the standard deviation for the next bar is calculated over this same simulated window of prices, using the new SMA_future as its mean.
// 1. Calculate the sum of squared differences from the new mean
d_f = Price_forecast - SMA_future
d_0 = close - SMA_future
// ... and so on for the rest of the window's prices
SumOfSquares = (d_f)^2 + (d_0)^2 + ... + (d_length-2)^2
// 2. Calculate future variance and then the standard deviation
Var_future = SumOfSquares / length
StDev_future = sqrt(Var_future)
Extending the Forecast (2 to 8 Bars)
For forecasts further into the future (e.g., 2 bars), the script uses the same single Price_forecast for all future steps in the calculation. For a 2-bar forecast, the simulated window effectively contains the forecasted price twice, while dropping the two oldest historical prices. This provides a statistically-grounded projection of where the Bollinger Bands are likely to form.
Usage as a Forecast Extension
This indicator's functionality is designed to be modular. It can be used in conjunction with as example Mad Triple Bollinger Bands MTF script to separate the rendering of historical data from the forward-looking forecast.
Configuration for Combined Use:
Add both the Mad Triple Bollinger Bands MTF and this Triple Bollinger Bands Forecast indicator to your chart.
Open the Settings for this indicator (BBx3+F).
In the 'General Settings' tab, disable the Activate Plotting option.
To ensure data consistency, the Bollinger Length, Multipliers, and Higher Timeframe settings should be identical across both indicators.
This configuration prevents the rendering of duplicate historical bands. The Mad Triple Bollinger Bands MTF script will be responsible for visualizing the historical and current bands, while this script will overlay only the forward-projected polyline data.
Bollinger Bands Levels | VTS Pro📊 Bollinger Bands Levels | VTS Pro
by Alireza Mossaheb
This advanced Bollinger Bands indicator takes your technical analysis to the next level by providing dynamic price bands along with customizable horizontal levels and labels. Whether you're a trend trader or a mean reversion strategist, this tool adapts to your workflow.
🔧 Key Features:
Three Modes: Choose between Strong (20, 2), Weak (10, 1.5), or Custom settings for full control.
Multi-Timeframe Support: Plot Bollinger Bands from any higher or lower timeframe.
Multiple MA Types: Select from SMA, EMA, RMA (SMMA), WMA, and VWMA for the basis line.
Visual Enhancements:
Optional background fill between bands
Stylized horizontal lines with labels (Top/Mid/Low)
Customizable line style, width, and color
Smart Labeling: Automatically names levels based on timeframe and mode.
Improved Plot Logic: Line width bug fixed for smoother rendering across presets.
🧠 Ideal For:
Spotting volatility squeezes or expansions
Confirming support/resistance with upper/lower bands
Creating confluence zones using higher timeframe Bollinger levels
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032
This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength.
Features:
OBV-based trend tracking
Optional smoothing: SMA, EMA, RMA, WMA, VWMA
Optional Bollinger Bands with SMA
Potential Combinations and Trading Strategies:
Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend.
Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal.
Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal.
1. On-Balance Volume (OBV):
Purpose: OBV is a momentum indicator that uses volume flow to predict price movements.
Calculation: Volume is added on up days and subtracted on down days.
Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices.
Divergence: Divergence between OBV and price can signal potential trend reversals.
2. Moving Average (MA):
Purpose: Moving Averages smooth price fluctuations and help identify trends.
Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation.
3. Bollinger Bands (BB):
Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals.
Structure: They consist of a moving average (typically 20-period) and two standard deviation bands.
Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal.
Created by: Marius1032
BB Oscillator - Price Relative to Bollinger BandsThis Bollinger Band Oscillator visualizes where the current price sits relative to its Bollinger Bands, scaled between 0 and 100. It helps identify overbought and oversold conditions based on the price’s position within the bands and provides dynamic signals when momentum shifts occur.
Features
Price Relative to Bollinger Bands
The main oscillator plots the price’s relative position within the Bollinger Bands on a scale from 0 (lower band) to 100 (upper band), giving an intuitive view of where price stands.
Customizable Moving Average Overlay
An optional moving average (SMA or EMA) smooths the oscillator for trend analysis, with adjustable length and color options.
Crossover & Crossunder Signals
Alerts and background highlights trigger when the oscillator crosses over or under its moving average, signaling potential momentum shifts or trend changes.
Fully Customizable Colors
Choose your preferred colors for the oscillator line, moving average and crossover signals to match your charting style.
This tool offers a unique oscillator view of Bollinger Bands, combining volatility context with momentum signals for clearer decision-making.
VWAP %BVWAP %B - Volume Weighted Average Price Percent B
The VWAP %B indicator combines the reliability of VWAP (Volume Weighted Average Price) with the analytical power of %B oscillators, similar to Bollinger Bands %B but using volume-weighted statistics.
## How It Works
This indicator calculates where the current price sits relative to VWAP-based standard deviation bands, expressed as a percentage from 0 to 1:
• **VWAP Calculation**: Uses volume-weighted average price as the center line
• **Standard Deviation Bands**: Creates upper and lower bands using standard deviation around VWAP
• **%B Formula**: %B = (Price - Lower Band) / (Upper Band - Lower Band)
## Key Levels & Interpretation
• **Above 1.0**: Price is trading above the upper VWAP band (strong bullish momentum)
• **0.8 - 1.0**: Overbought territory, potential resistance
• **0.5**: Price exactly at VWAP (equilibrium)
• **0.2 - 0.0**: Oversold territory, potential support
• **Below 0.0**: Price is trading below the lower VWAP band (strong bearish momentum)
## Trading Applications
**Trend Following**: During strong trends, breaks above 1.0 or below 0.0 often signal continuation rather than reversal.
**Mean Reversion**: In ranging markets, extreme readings (>0.8 or <0.2) may indicate potential reversal points.
**Volume Context**: Unlike traditional %B, this incorporates volume weighting, making it more reliable during high-volume periods.
## Parameters
• **Length (20)**: Period for standard deviation calculation
• **Standard Deviation Multiplier (2.0)**: Controls band width
• **Source (close)**: Price input for calculations
## Visual Features
• Reference lines at key levels (0, 0.2, 0.5, 0.8, 1.0)
• Background highlighting for extreme breaks
• Real-time values table
• Clean oscillator format below price chart
Perfect for intraday traders and swing traders who want to combine volume analysis with momentum oscillators.
Bands Vision-XBands Vision-X (BB-Vision-X) – Full Description
Description:
Bands Vision-X is an indicator based on dynamic bands constructed from customizable moving averages and standard deviation, allowing you to visualize potential support and resistance zones, volatility, and market conditions. It uses an adjustable moving average (with multiple options such as SMA, EMA, WMA, JMA, LSMA, DEMA, and TEMA) to define the central line, and upper and lower bands calculated by standard deviation multiplied by an adjustable factor. The bands are smoothed by a Hull Moving Average (HMA) to reduce noise and improve clarity.
How to Use
The bands indicate potential support and resistance levels.
The central line serves as a dynamic price reference.
The distance between bands reflects market volatility.
Touches or breakouts of the bands may signal entry or exit opportunities.
Parameters
Parameter Description Default
Standard Error Band Period Period for moving average and standard deviation 20
Moving Average Type Type of moving average (SMA, EMA, etc.) SMA
Standard Deviation Multiplier Multiplier for standard deviation 2.0
Band Lines Smoothing Period Period for smoothing the bands (HMA) 5
Technical Notes
The JMA function used is not the original Jurik version but an approximate and open implementation based on publicly available TradingView community code.
Developed in Pine Script v6 with optimized and clean code.
Recommendations
Ideal for traders seeking a clear view of volatility and dynamic support/resistance levels.
Should not be used in isolation; it is recommended to combine with volume analysis, price action, or other technical indicators.
Adjust the period and multiplier according to the asset and timeframe for better effectiveness.
5EMA_BB_ScalpingWhat?
In this forum we have earlier published a public scanner called 5EMA BollingerBand Nifty Stock Scanner , which is getting appreciated by the community. That works on top-40 stocks of NSE as a scanner.
Whereas this time, we have come up with the similar concept as a stand-alone indicator which can be applied for any chart, for any timeframe to reap the benifit of reversal trading.
How it works?
This is essentially a reversal/divergence trading strategy, based on a widely used strategy of Power-of-Stocks 5EMA.
To know the divergence from 5-EMA we just check if the high of the candle (on closing) is below the 5-EMA. Then we check if the closing is inside the Bollinger Band (BB). That's a Buy signal. SL: low of the candle, T: middle and higher BB.
Just opposite for selling. 5-EMA low should be above 5-EMA and closing should be inside BB (lesser than BB higher level). That's a Sell signal. SL: high of the candle, T: middle and lower BB.
Along with we compare the current bar's volume with the last-20 bar VWMA (volume weighted moving average) to determine if the volume is high or low.
Present bar's volume is compared with the previous bar's volume to know if it's rising or falling.
VWAP is also determined using `ta.vwap` built-in support of TradingView.
The Bolling Band width is also notified, along with whether it is rising or falling (comparing with previous candle).
What's special?
We love this reversal trading, as it offers many benifits over trend following strategies:
Risk to Reward (RR) is superior.
It _Does Hit_ stop losses, but the stop losses are tiny.
Means, althrough the Profit Factor looks Nahh , however due to superior RR, end of day it ended up in green.
When the day is sideways, it's difficult to trade in trending strategies. This sort of volatility, reversal strategies works better.
It's always tempting to go agaist the wind. Whole world is in Put/PE and you went opposite and enter a Call/CE. And turns out profitable! That's an amazing feeling, as a trader :)
How to trade using this?
* Put any chart
* Apply this screener from Indicators (shortcut to launch indicators is just type / in your keyboard).
* It will show you the Green up arrow when buy alert comes or red down arrow when sell comes. * Also on the top right it will show the latest signal with entry, SL and target.
Disclaimer
* This piece of software does not come up with any warrantee or any rights of not changing it over the future course of time.
* We are not responsible for any trading/investment decision you are taking out of the outcome of this indicator.
