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
Bollinger Bantları (BB)
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.
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📌 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.
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📌 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.
AMV Impulse AssistantThe AMV Impulse Assistant is a custom momentum tool designed to assess how aggressively price is moving relative to recent volatility. It combines Bollinger-based range analysis and fast-moving average behavior to generate a dynamic impulse score. This score helps identify when price action is potentially overextended or showing signs of unusual momentum — useful for pullback traders, breakout traders, and anyone managing entries during trending conditions.
What it does:
Tracks the relationship between a short WMA and Bollinger basis to gauge directional strength.
Measures price movement compression/expansion with a normalized Bollinger Width Percentile.
Combines both into a smoothed Impulse Score (from -10 to +10) that reflects how aggressively price is pushing in either direction.
Colors the score line and highlights background zones when momentum enters extreme ranges.
📈 Use case:
This tool is especially effective for day traders who need to quickly identify when price is moving abnormally fast — either as an exhaustion signal or confirmation of an aggressive continuation. It can be used to:
Confirm the end of a pullback.
Spot overly aggressive moves that may revert.
Avoid entries during neutral chop or volatility compression.
It is best used alongside your primary trend filters and execution tools as a supplementary confirmation.
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
Bollinger BandWidth Squeeze BreakoutBollinger BandWidth Squeeze Breakout
Description:
This indicator merges classic Bollinger BandWidth (BBW) with TTM Squeeze Pro-style compression dots. It identifies volatility contractions, very effective at identifying chop or ranging markets, and color-codes the BBW line based on directional breakout bias—helping traders anticipate explosive moves before they happen.
It supports multi-level squeeze detection:
High Compression (Orange) : Tightest squeeze — highly coiled setup
Medium Compression (Red) : Moderate squeeze — building pressure
Low Compression (Black) : Light squeeze — early contraction
(No dot means no squeeze – free expansion)
How It Works
Bollinger BandWidth (BBW):
Calculated as the percent width between Bollinger Bands over a selected moving average (SMA, EMA, etc.). A rising BBW suggests volatility expansion; falling BBW indicates compression.
Directional Bias (BBW Color):
The line is colored green when recent bars show upside breakout pressure, red when downside pressure dominates, and gray when neutral. This is based on cumulative position of price relative to the Bollinger Bands.
TTM Squeeze Pro Dots:
Compression dots plotted on the zero line represent volatility squeeze levels, using up to 3 Keltner Channel thresholds:
Orange Dot : High compression (tightest squeeze zone)
Red Dot : Medium compression
Black Dot : Low compression
(No dot means no squeeze — price is expanding)
Expansion & Contraction Context:
Plots historical highest/lowest BBW values (user-defined period) to help spot extreme conditions.
How to Interpret:
Use squeeze dots to identify when the market is “chop/ranging.” Breakouts from these zones often come with sharp moves.
BBW Line Color = Bias Filter:
Green → Bullish expansion pressure
Red → Bearish expansion pressure
Gray → Neutral or undecided
Use this to filter direction before entering a breakout or momentum trade.
Inputs:
Length : Period for BB and Keltner calculations
MA Type : Choose from SMA, EMA, SMMA, WMA, VWMA, or None
StdDev : Standard deviation for BB
Expansion/Contraction Lengths : Historical window to track BBW extremes
Source : Input source for all calculations (default: Close)
Keltner Multipliers : Customize thresholds for high/mid/low compression
Best For:
Traders looking to anticipate breakout direction
Scalpers and swing traders seeking early volatility cues
Anyone using BB or TTM Squeeze logic in their setups
Pro Tips:
Combine with momentum tools (e.g., RSI, MACD, SMI, CCI) to confirm breakout thrust
Use squeeze dot color shifts (red/orange → no dot) as a breakout timing tool
Use historical BBW highs/lows as context for relative volatility expansion
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.”
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🎯 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.
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📡 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.
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☁️ 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.
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🪖 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.”
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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
Adaptive Momentum Deviation Oscillator | QuantMACAdaptive Momentum Deviation Oscillator | QuantMAC 📊
Overview 🎯
The Adaptive Momentum Deviation Oscillator (AMDO) is an advanced technical analysis indicator that combines the power of Bollinger Bands with adaptive momentum calculations to identify optimal entry and exit points in financial markets. This sophisticated oscillator creates dynamic bands that adapt to market volatility while providing clear visual signals for both trending and ranging market conditions.
How It Works 🔧
Core Methodology
The AMDO employs a sophisticated multi-layered approach to market analysis through four distinct phases:
Bollinger Band Foundation : The indicator begins by establishing a volatility baseline using traditional Bollinger Bands. These bands are calculated using a simple moving average as the center line, with upper and lower bands positioned at a specific number of standard deviations away from this centerline. The distance between these bands expands and contracts based on market volatility, creating a dynamic envelope around price action.
BB% Normalization Process : The raw price data is then transformed into a normalized percentage format that represents where the current price sits within the Bollinger Band envelope. When price is at the lower band, this percentage reads 0%; at the upper band, it reads 100%. This normalization allows for consistent comparison across different timeframes and price levels, creating a standardized oscillator that oscillates between extreme values.
Adaptive Momentum Band Construction : The normalized BB% values undergo a secondary volatility analysis where their own standard deviation is calculated over a specified period. This creates "bands around the bands" - upper and lower boundaries that adapt to the volatility of the normalized price position itself. These adaptive bands expand during periods of high momentum volatility and contract during consolidation phases.
Intelligent Signal Synthesis : The final layer combines the adaptive momentum bands with user-defined threshold levels to create a sophisticated trigger system. The indicator monitors when the dynamic bands cross above or below these thresholds, filtering out noise while capturing significant momentum shifts. This creates a dual-confirmation system where both volatility adaptation and threshold breaches must align for signal generation.
Key Components 🛠️
Adaptive Momentum Bands 📈
Dynamic Volatility Response : These bands automatically widen during periods of high momentum volatility and narrow during consolidation phases. Unlike fixed oscillator boundaries, they continuously recalibrate based on recent price behavior within the Bollinger Band framework.
Dual-Layer Calculation : The bands are derived from the volatility of the normalized price position itself, creating a "volatility of volatility" measurement. This provides early warning signals when momentum characteristics are changing, even before price breakouts occur.
State-Aware Visualization : The bands employ intelligent color coding that transitions between active and neutral states based on their interaction with threshold levels. Active states indicate high-probability momentum conditions, while neutral states suggest consolidation or indecision.
Momentum Persistence Tracking : The bands maintain memory of recent momentum characteristics, allowing them to distinguish between genuine momentum shifts and temporary price spikes or dips.
Threshold Levels 🎚️
Statistical Significance Boundaries : The threshold levels (default 83 for long, 40 for short) are positioned to capture statistically significant momentum events while filtering out market noise. These levels represent points where momentum probability shifts meaningfully in favor of directional moves.
Asymmetric Design Philosophy : The intentional asymmetry between long and short thresholds (83 vs 40) reflects the natural upward bias of many financial markets and the different risk/reward profiles of long versus short positions.
Contextual Sensitivity : The thresholds work in conjunction with the adaptive bands to create context-sensitive triggers. A threshold breach is only meaningful when it occurs in the proper sequence with band interactions.
Risk-Adjusted Positioning : The threshold levels are calibrated to provide favorable risk-adjusted entry points, considering both the probability of success and the potential magnitude of subsequent moves.
Bollinger Bands Overlay 📊
Multi-Timeframe Context : The price chart overlay provides essential context by showing traditional Bollinger Bands alongside the oscillator. This dual perspective allows traders to see both the absolute price position and the momentum characteristics simultaneously.
Support/Resistance Identification : The filled band area creates a visual representation of dynamic support and resistance levels. Price interaction with these bands provides additional confirmation for oscillator signals.
Volatility Environment Assessment : The width and slope of the bands offer immediate visual feedback about the current volatility environment, helping traders adjust their expectations and risk management accordingly.
Confluence Analysis : The overlay enables traders to identify confluence between price action at Bollinger Band levels and oscillator signals, creating higher-probability trade setups.
Signal Generation ⚡
The AMDO generates signals through precise mathematical crossover events:
Long Signals 🟢
Momentum Accumulation Detection : Long signals are generated when the lower adaptive momentum band crosses above the 83 threshold, indicating that downside momentum has exhausted and bullish momentum is beginning to accumulate. This represents a shift from defensive to offensive market posture.
Statistical Edge Confirmation : The crossing event occurs only when momentum characteristics have shifted sufficiently to provide a statistical edge for long positions. The adaptive nature ensures the signal quality remains consistent across different market volatility regimes.
Visual State Synchronization : Upon signal generation, the entire indicator ecosystem shifts to a bullish state - bar colors change, band states update, and the visual hierarchy emphasizes the long bias until conditions change.
Momentum Persistence Validation : The signal incorporates momentum persistence analysis to distinguish between genuine trend starts and false breakouts, reducing whipsaw trades in choppy market conditions.
Short Signals 🔴
Momentum Exhaustion Recognition : Short signals trigger when the upper adaptive momentum band crosses below the 40 threshold, signaling that bullish momentum has peaked and bearish momentum is emerging. This asymmetric threshold reflects the different dynamics of bullish versus bearish market phases.
Volatility-Adjusted Timing : The adaptive band system ensures that short signals are generated with appropriate timing regardless of the underlying volatility environment, maintaining signal quality in both high and low volatility conditions.
Regime-Aware Activation : Short signals are only active in Long/Short trading mode, recognizing that not all trading strategies benefit from short positions. The indicator adapts its behavior based on the selected trading approach.
Risk-Calibrated Thresholds : The 40 threshold is specifically calibrated to capture meaningful bearish momentum shifts while accounting for the higher risk typically associated with short positions.
Cash Signals 💰
Defensive Positioning Logic : In Long/Cash mode, cash signals are generated when short conditions are met, allowing traders to move to a defensive cash position rather than taking on short exposure. This preserves capital during unfavorable market conditions.
Risk Mitigation Strategy : Cash signals represent a risk-off approach that removes market exposure when momentum conditions favor the short side, protecting long-biased portfolios from adverse market movements.
Opportunity Cost Optimization : The cash position allows traders to avoid negative returns while maintaining flexibility to re-enter long positions when momentum conditions improve, optimizing the risk-adjusted return profile.
Features & Customization ⚙️
Color Schemes 🎨
9 pre-built color schemes (Classic through Classic9)
Custom color override option
Dynamic color changes based on signal states
Trading Modes 📈
Long/Short : Full bidirectional trading capability
Long/Cash : Long-only strategy with cash positions
Performance Metrics 📊
The indicator includes a comprehensive suite of advanced performance analytics that provide deep insights into strategy effectiveness:
Risk-Adjusted Return Metrics
Sortino Ratio : Measures returns relative to downside deviation only, providing a more accurate assessment of risk-adjusted performance by focusing on harmful volatility rather than total volatility. This metric is particularly valuable for asymmetric return distributions.
Sharpe Ratio : Calculates excess return per unit of total risk, offering a standardized measure of risk-adjusted performance that allows for comparison across different strategies and timeframes.
Omega Ratio : Employs probability-weighted analysis to compare the likelihood and magnitude of gains versus losses, providing insights into the overall shape of the return distribution and tail risk characteristics.
Drawdown and Risk Analysis
Maximum Drawdown : Tracks the largest peak-to-trough equity decline, providing crucial information about the worst-case scenario and helping traders understand the emotional and financial stress they might encounter.
Dynamic Drawdown Monitoring : Continuously updates drawdown calculations in real-time, allowing traders to monitor current drawdown levels relative to historical maximums.
Trade Statistics and Profitability
Profit Factor Analysis : Compares gross profits to gross losses, revealing the efficiency of the trading approach and the relationship between winning and losing trades.
Win Rate Calculation : Provides the percentage of profitable trades, which must be interpreted in conjunction with profit factor and average trade size for meaningful analysis.
Trade Frequency Tracking : Monitors total trade count to assess strategy turnover and transaction cost implications.
Position Sizing Guidance
Half Kelly Percentage : Calculates optimal position sizing based on Kelly Criterion methodology, then applies a conservative 50% reduction to account for parameter uncertainty and reduce volatility. This provides mathematically-based position sizing guidance that balances growth with risk management.
Parameters & Settings 🔧
BMD Settings
- Base Length : Period for Bollinger Band calculation (default: 10)
- Source : Price data source (default: close)
- Standard Deviation Length : Period for volatility calculation (default: 35)
- SD Multiplier : Bollinger Band width multiplier (default: 1.0)
- BB% Multiplier : Scaling factor for BB% calculation (default: 100)
BMD Settings
Base Length : Period for Bollinger Band calculation (default: 10)
Source : Price data source (default: close)
Standard Deviation Length : Period for volatility calculation (default: 35)
SD Multiplier : Bollinger Band width multiplier (default: 1.0)
BB% Multiplier : Scaling factor for BB% calculation (default: 100)
Signal Thresholds 🎯
Long Threshold : Trigger level for long signals (default: 83)
Short Threshold : Trigger level for short signals (default: 40)
Display Options 🖥️
Toggleable metrics table with 6 position options
Customizable date range limiter
Multiple visual elements for comprehensive analysis
Use Cases & Applications 💡
Trend Following
Identifies momentum shifts in trending markets
Provides early entry signals during trend continuations
Adaptive bands adjust to changing volatility conditions
Mean Reversion
Detects oversold/overbought conditions
Signals potential reversal points
Works effectively in ranging markets
Risk Management
Built-in performance metrics for strategy evaluation
Half Kelly percentage for position sizing guidance
Maximum drawdown monitoring
Advantages ✅
Adaptive Nature : Automatically adjusts to market volatility
Dual Display : Oscillator and price chart components work together
Comprehensive Metrics : Built-in performance analysis
Flexible Trading Modes : Supports different trading strategies
Visual Clarity : Color-coded signals and states
Customizable : Extensive parameter adjustment options
Important Considerations ⚠️
This indicator is designed for educational and analysis purposes
Should be used in conjunction with other technical analysis tools
Proper risk management is essential when trading
Backtest thoroughly before implementing in live trading
Market conditions can change rapidly, affecting indicator performance
Disclaimer ⚠️
Past performance is not indicative of future results. Trading involves substantial risk of loss and is not suitable for all investors. The information provided by this indicator should not be considered as financial advice. Always conduct your own research.
No indicator guarantees profitable trades - Always use proper risk management! 🛡️
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.
4H & 1D Sig_chartbugRohmoohyun is alive
Auxiliary Indicator for Buy/Sell Signals Using Bollinger Bands and Moving Averages.
Recommended for NASDAQ, Gold, Oil, BTC, Stocks on 4-hour or higher timeframes.
For Ethereum, Ripple, and other volatile altcoins, it is advisable to also check the daily chart.
Indicator Idea: This strategy utilizes two types of indicators: Bollinger Bands as a volatility (or momentum) indicator, and Moving Averages as a trend indicator. A triangle signal is generated in zones where the Bollinger Bands converge (squeeze). After a candle closes, a Rocket icon will appear, at which point a trading strategy can be devised based on the prevailing trend indicated by the Moving Averages.
Indicator Feature: When used on timeframes of 4 hours or higher, this indicator is extremely powerful for establishing trading criteria, especially when combined with trend analysis and support/resistance zones.
Basic Trading Method: Enter a position at the Rocket icon + Immediately set a stop-loss (e.g., at the previous low/high, a maximum loss threshold like 2% of capital, or at a level planned for a second entry to average down) + Take partial profit (e.g., 50%) at your desired TP level, then move the stop-loss to your entry price (break-even) and hold the remainder of the position.
Recommended Timeframes: 5-minute, 4-hour, 1-day.
Trading Strategy
Pullback Trading / Trend Reversal Trading.
Instrument Selection (Commodities & Indices, Crypto, NASDAQ-listed Stocks).
Understand Instrument Characteristics (The three categories behave differently, so backtesting before use is essential).
a) Bullish Alignment (Price > 20MA > 200MA)
: Focus primarily on long (buy) positions.
: If attempting a counter-trend (short) trade, do so only with multiple confirmations, such as RSI/Disparity divergence and a major resistance zone. Use a tight stop-loss.
b) Bearish Alignment (Price < 20MA < 200MA)
: The opposite of the above; focus on short (sell) positions.
c) During a Bullish Trend, Price is Between MAs (200MA < Price < 20MA)
: This indicates either a consolidation phase within an uptrend or a potential early sign of a reversal to a downtrend. Consider both possibilities.
: A possible approach is to allocate capital with a 60% bias to long positions and a 40% bias to short positions (unlike in full bullish/bearish alignments where counter-trend trading has a poor risk/reward ratio).
: If it turns out to be a reversal point, you can enter a position at the very beginning of a new trend, allowing for a longer ride.
: It's recommended to take partial profits rather than closing the entire position. For instance, close half and move the stop-loss to your entry price to eliminate risk while keeping profit potential open.
d) During a Bearish Trend, Price is Between MAs (200MA > Price > 20MA)
: The opposite of the above.
Instrument-Specific Characteristics
Commodities & Indices (NASDAQ, Oil, Gold)
: The indicator was primarily developed and tested on NASDAQ and Gold, so it tends to work well with them.
: However, NASDAQ often exhibits strong, one-way trends, so a trend-following approach is highly recommended.
: Gold and Oil tend to have significant reversals from key support/resistance zones.
Crypto
: These assets are extremely volatile, so use this indicator with caution and skill.
: It performs reasonably well with BTC. For anything from Ethereum downwards, the price action can be chaotic, so it's crucial to use the daily chart and other confirming factors.
: Instead of frequent day trading, focus on long-term positions, reduce the number of trades, and aim for entries with a good average price.
NASDAQ-listed Stocks
: Recommended for a long-term, accumulation-style investment approach.
: Use the indicator not as a signal that "it will pump immediately!" but rather as a sign that "this is a decent entry point to build a position."
: Alternatively, it can be used for more active swing trading (buy, sell, repeat).
Important Disclaimers
This is an auxiliary indicator, as the name implies. Do not trust it blindly.
When entering a position, immediately set your stop-loss or have a plan for a single additional entry (max one recommended).
Always use it in conjunction with other forms of analysis.
Track your performance (win rate, risk/reward ratio) based on this strategy.
Continuously refine and improve your approach.
Universal Valuation | QuantMAC🎯 Universal Valuation | QuantMAC
🚀 Professional-Grade Valuation Engine with 14+ Technical Components
The Universal Valuation indicator is a sophisticated composite analysis tool that combines multiple technical indicators, statistical measures, and risk ratios to provide a comprehensive assessment of asset valuation across all market conditions and timeframes.
📊 Core Architecture & Methodology
🔬 Z-Score Normalization System
Each component is normalized using statistical Z-scores, which measure how many standard deviations a value is from its historical mean. This standardization allows different indicators to be combined meaningfully:
Positive Z-scores indicate values above historical average (potentially overvalued)
Negative Z-scores indicate values below historical average (potentially undervalued)
Individual lookback periods for each component ensure optimal sensitivity
Real-time statistical calculations with dynamic standard deviation adjustments
📈 Composite Scoring Algorithm
The final valuation score is calculated as the weighted average of all enabled components, providing a unified view of market conditions while maintaining granular control over individual inputs.
🛠️ Technical Components Breakdown
📊 Momentum & Oscillator Components
🎯 RSI (Relative Strength Index)
Function: Measures price momentum and overbought/oversold conditions
Default Settings: 21-period RSI with 150-period Z-score normalization
Analysis: Values above 70 (traditional) become positive Z-scores, indicating potential overvaluation
Edge: Z-score normalization adapts to changing market volatility unlike fixed thresholds
🌊 CCI (Commodity Channel Index)
Function: Identifies cyclical price patterns and extreme price levels
Default Settings: 30-period CCI with 150-period Z-score normalization
Analysis: Measures price deviation from statistical mean using typical price (HLC/3)
Edge: Excellent for identifying price extremes in trending and ranging markets
🔵 Chande Momentum Oscillator
Function: Advanced momentum indicator using sum of gains vs. sum of losses
Default Settings: 50-period calculation with 50-period Z-score normalization
Analysis: Formula: 100 * (Sum_Gains - Sum_Losses) / (Sum_Gains + Sum_Losses)
Edge: Less prone to whipsaws compared to RSI, better momentum persistence detection
🎭 IMI (Intraday Momentum Index)
Function: Combines RSI concept with intraday price action analysis
Default Settings: 100-period calculation with 150-period Z-score normalization
Analysis: Uses gains/losses based on close vs. open rather than close-to-close
Edge: Captures intraday sentiment and gap behavior effectively
📈 Price Action & Trend Components
📊 Bollinger Bands Position
Function: Measures price position relative to volatility-adjusted bands
Default Settings: 30-period bands with 50-period Z-score normalization
Analysis: (Price - SMA) / (2 * Standard_Deviation) normalized to Z-score
Edge: Adapts to volatility changes, providing context-aware overbought/oversold levels
💹 Price Z-Score
Function: Direct statistical analysis of price deviation from historical mean
Default Settings: 150-period lookback for Z-score calculation
Analysis: Pure price momentum without indicator lag or smoothing
Edge: Unfiltered price analysis, excellent for mean reversion strategies
📊 Disparity Index
Function: Measures percentage deviation of price from its moving average
Default Settings: 10-period SMA with 150-period Z-score normalization
Analysis: 100 * (Price - SMA) / SMA, then normalized to Z-score
Edge: Highly sensitive to short-term price deviations, excellent for timing entries
🎯 TEMA (Triple Exponential Moving Average)
Function: Advanced moving average with reduced lag and improved responsiveness
Default Settings: 10-period TEMA with 150-period Z-score normalization
Analysis: Triple-smoothed EMA that maintains trend-following capability with less noise
Edge: Superior trend identification with minimal lag compared to traditional MAs
📊 Volume & Market Structure Components
📈 VWAP (Volume Weighted Average Price)
Function: Incorporates volume into price analysis for institutional perspective
Default Settings: Standard VWAP with 300-period Z-score normalization
Analysis: Compares current price to volume-weighted institutional benchmark
Edge: Reveals institutional sentiment and identifies fair value zones
⚡ Intraday Momentum
Function: Measures session-based momentum using open-to-close movement
Default Settings: (Close - Open) / Open * 100 with 250-period Z-score normalization
Analysis: Captures daily sentiment and gap behavior in percentage terms
Edge: Excellent for intraday trading and gap analysis strategies
🎲 Advanced Statistical Components
🌊 Hurst Exponent (Optional)
Function: Measures market efficiency and trend persistence characteristics
Default Settings: 100-period calculation with 200-period Z-score normalization
Analysis: Values > 0.5 indicate trending markets, < 0.5 indicate mean-reverting markets
Edge: Identifies market regime changes and optimal strategy selection
Note: Computationally intensive, disabled by default for performance
📊 Risk-Adjusted Performance Ratios
⚡ Sharpe Ratio
Function: Risk-adjusted return measurement using total volatility
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Standard_Deviation of returns
Edge: Identifies periods of superior risk-adjusted performance
🎯 Sortino Ratio
Function: Risk-adjusted return using only downside deviation (superior to Sharpe)
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Downside_Deviation
Edge: More accurate risk assessment as it ignores upside volatility
🌟 Omega Ratio
Function: Advanced risk measure comparing gains above threshold to losses below
Default Settings: 400-period calculation with 200-period Z-score normalization
Analysis: Sum_of_Gains_Above_Threshold / Sum_of_Losses_Below_Threshold
Edge: Captures full return distribution, not just mean and variance
🎨 Visualization & Interface
🌈 Dual Color Schemes
Bright Mode: Vibrant colors for clear daylight visibility
Dark Mode: Muted tones for low-light trading environments
Adaptive Gradients: Color intensity scales with Z-score magnitude
Background Highlighting: Optional panel and chart background coloring for extreme conditions
📊 Comprehensive Data Table
Real-time Z-scores for each enabled component
Composite score with gradient coloring
Valuation phase classification (6 distinct levels)
Toggle individual components on/off for custom analysis
🎯 Valuation Phase Classifications
📈 Systematic Valuation Levels
Extremely Undervalued: Z-score ≤ -2.0 (Exceptional buying opportunity)
Strongly Undervalued: Z-score ≤ -1.3 (Strong buying signal)
Moderately Undervalued: Z-score < -0.65 (Potential buying opportunity)
Fairly Valued: Z-score -0.65 to 0.5 (Neutral zone)
Slightly Overvalued: Z-score 0.5 to 1.2 (Caution zone)
Moderately Overvalued: Z-score 1.2 to 2.0 (Potential selling zone)
Strongly Overvalued: Z-score ≥ 2.0 (Strong selling signal)
🌍 Universal Asset Compatibility
✅ Equity Markets - Individual stocks, ETFs, indices, sector rotation analysis
✅ Cryptocurrency - Bitcoin, altcoins, DeFi tokens, NFT projects
8H
12H
4H
🚀 Key Strategic Advantages
🔬 Scientific Approach
Unlike traditional indicators that use fixed thresholds, the Universal Valuation employs dynamic statistical normalization that adapts to changing market conditions and volatility regimes.
⚡ Multi-Dimensional Analysis
Combines momentum, trend, volume, and risk-adjusted metrics to provide a 360-degree view of market valuation, reducing false signals and improving decision accuracy.
🎯 Customizable Framework
Enable or disable individual components to create custom valuation models tailored to specific assets, strategies, or market conditions.
📊 Institutional-Grade Metrics
Incorporates sophisticated risk ratios (Sharpe, Sortino, Omega) typically used by hedge funds and institutional investors.
💡 Professional Trading Applications
🎯 Mean Reversion Strategies
Identify extreme valuation levels for contrarian entries
Use composite Z-score thresholds for systematic signal generation
Combine with volume analysis for confirmation
📈 Trend Following Enhancement
Avoid trend entries during overvalued conditions
Use undervalued readings to add to existing positions
Time trend continuation trades with valuation support
🔄 Portfolio Management
Asset allocation based on relative valuation scores
Risk management using integrated Sharpe/Sortino ratios
Sector rotation timing using cross-asset comparison
⚡High-Frequency Applications
Intraday momentum component for scalping strategies
VWAP analysis for institutional order flow
Real-time composite scoring for algorithmic systems
🛠️ Configuration Best Practices
📊 Conservative Setup (Long-term)
Enable all components except Hurst Exponent
Use longer Z-score periods (200+) for stability
Focus on -1.3/+2.0 thresholds for major signals
⚡ Aggressive Setup (Short-term)
Emphasize momentum components (RSI, CCI, Chande)
Shorter Z-score periods (50-100) for responsiveness
Use -0.65/+1.2 thresholds for frequent signals
🎯 Risk-Focused Setup
Prioritize Sharpe, Sortino, and Omega ratios
Enable VWAP and price components
Use conservative thresholds with position sizing guidance
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🏆 Professional Multi-Asset Valuation System
The Universal Valuation indicator represents a quantum leap in technical analysis sophistication, combining academic rigor with practical trading applications. By normalizing diverse technical components through statistical Z-scores, it provides objective, data-driven valuation assessments that adapt to any market condition.
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📝 Disclaimer: This indicator is for educational and informational purposes only. The statistical models and risk ratios do not guarantee future performance. Always conduct thorough analysis and implement proper risk management practices.
Bollinger Bands Oscillator | QuantMAC📊 Bollinger Bands Oscillator | QuantMAC
🎯 Overview
The Bollinger Bands Oscillator is a sophisticated technical analysis tool that combines the power of traditional Bollinger Bands with an oscillator-based approach for enhanced signal generation. This indicator transforms the classic Bollinger Bands into a percentage-based oscillator, providing clearer entry and exit signals for both trending and ranging markets.
🔧 Key Features
Dual Trading Modes : Choose between Long/Short or Long/Cash strategies
Advanced BB% Calculation : Enhanced Bollinger Band percentage with customizable multipliers
Comprehensive Metrics : Built-in performance analytics including Sharpe Ratio, Sortino Ratio, and Profit Factor
Visual Color Coding : Dynamic bar coloring and 9 different color schemes for optimal chart visibility
Date Range Filtering : Backtest specific time periods with customizable start dates
Real-time Signal Generation : Clear long and short entry signals with threshold customization
Advanced Risk Management : Half Kelly criterion calculation for optimal position sizing
📈 How It Works
The indicator operates by calculating a modified Bollinger Band percentage that oscillates between values, typically ranging from 0 to 100+. When the BB% crosses above the Long Threshold (default: 83), it generates a bullish signal. Conversely, when it crosses below the Short Threshold (default: 55), it produces a bearish signal.
Core Calculation Process:
Calculate the moving average basis using the specified Base Length (default: 40 periods)
Determine standard deviation using a separate SD Length (default: 27 periods)
Create upper and lower bands using the SD Multiplier (default: 2.6)
Convert to percentage oscillator with BB% Multiplier (default: 100)
Generate signals based on threshold crossovers
⚙️ Customizable Parameters
BMD Settings:
Base Length : Controls the moving average period (default: 40)
Standard Deviation Length : Determines volatility calculation period (default: 27)
SD Multiplier : Adjusts band width sensitivity (default: 2.6)
BB% Multiplier : Scales the oscillator values (default: 100)
Source : Choose price source (close, open, high, low, etc.)
Signal Thresholds:
Long Threshold : Entry level for bullish positions (default: 83)
Short Threshold : Entry level for bearish positions (default: 55)
🎨 Visual Elements
Main Chart Overlay:
Bollinger Bands : Upper and lower bands with customizable colors and transparency
Middle Line : Basis line displayed as subtle dots
Band Fill : Colored area between bands for easy visualization
Bar Coloring : Candles change color based on current signal state
Separate Oscillator Pane:
BB% Line : Main oscillator line with dynamic coloring
Threshold Lines : Horizontal lines marking entry/exit levels
Color Coding : Line colors change based on bullish/bearish state
📊 Performance Metrics
The indicator includes a comprehensive metrics table displaying:
Net Profit % : Total return percentage
Max Drawdown % : Maximum peak-to-trough decline
Win Rate % : Percentage of profitable trades
Profit Factor : Ratio of gross profit to gross loss
Sharpe Ratio : Risk-adjusted return measure
Sortino Ratio : Downside risk-adjusted return
Omega Ratio : Probability-weighted ratio of gains vs losses
Half Kelly % : Optimal position sizing recommendation
Total Trades : Number of completed transactions
🎯 Trading Strategies
Long/Short Mode: 🔄
The indicator alternates between long and short positions based on threshold crossovers. This mode is ideal for traders who can profit from both rising and falling markets.
Long/Cash Mode: 💰
This conservative approach only takes long positions, moving to cash during bearish signals. Perfect for traders in accounts that don't allow short selling or those preferring a buy-and-hold approach with strategic exits.
🚀 Getting Started
Add the indicator to your chart
Choose your preferred Trading Mode (Long/Short or Long/Cash)
Adjust the Base Length and SD Length to match your trading timeframe
Fine-tune the Long Threshold and Short Threshold based on your risk tolerance
Select your preferred color scheme from 9 available options
Enable the metrics table to monitor performance in real-time
💡 Pro Tips
Lower thresholds (e.g., Long: 75, Short: 60) generate more frequent but potentially less reliable signals
Higher thresholds (e.g., Long: 90, Short: 45) produce fewer but potentially higher-quality signals
Shorter base lengths make the indicator more responsive to recent price action
Longer base lengths smooth out noise but may lag market turns
Use the Half Kelly % metric to guide position sizing decisions
⚠️ Important Disclaimers
Past performance is not indicative of future results . This indicator is a technical analysis tool designed to assist in trading decisions but should not be used as the sole basis for investment choices.
Key Risk Considerations:
Market Conditions : No indicator works perfectly in all market environments
Backtesting Bias : Historical performance may not reflect future market behavior
Risk Management : Always use proper position sizing and stop-loss orders
Multiple Confirmations : Consider using additional indicators and analysis methods
📚 Educational Value
This indicator serves as an excellent learning tool for understanding:
Bollinger Band mechanics and interpretation
Oscillator-based trading strategies
Performance metrics and risk assessment
Position sizing using Kelly Criterion principles
The relationship between volatility and price movement
🔔 Updates and Support
The Bollinger Bands Oscillator | QuantMAC is regularly updated to ensure compatibility with TradingView's latest features. The code is thoroughly commented for educational purposes and transparency.
Remember: Trading involves substantial risk of loss and is not suitable for all investors. The value of investments may go down as well as up, and you may not get back the amount you invested. Always conduct your own research and consider seeking advice from a qualified financial advisor.
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.
Mitsos4 RSI + BB + Dispersion + Trendlines + VIX Fix Mitsos4 RSI + BB + Dispersion + Trendlines + VIX Fix
This powerful custom indicator combines two analytical tools into one view:
RSI-based Bollinger Bands with Dispersion and the Vix Fix volatility spike detector.
It is designed for traders who want early volatility signals and precision RSI insights, all in a single pane.
🧩 What's Included:
✅ 1. RSI + BB (EMA) + Dispersion
RSI-Based Bollinger Bands: Tracks the RSI with Bollinger Bands using an EMA as the basis.
Dispersion Zone: A buffer zone around the moving average band for more sensitive overbought/oversold detection.
Dynamic RSI Coloring:
🟢 Green: RSI breaks above the dispersion zone.
🔴 Red: RSI breaks below the dispersion zone.
🟡 Yellow: RSI inside the zone (neutral).
Trendlines at RSI levels: 40 (green), 50 (yellow), 60 (red).
Alerts when RSI crosses dispersion zones.
✅ 2. CM_Williams_Vix_Fix
Designed to simulate VIX-like volatility spikes on non-VIX instruments.
Detects potential market bottoms by measuring price deviation from recent highs.
Includes:
Bollinger Band range on WVF.
Percentile high/low zones to detect significant volatility moves.
Histogram plot of WVF for quick visual alerts.
Color-coded spikes (green when above upper thresholds).
⚙️ User Controls:
Adjustable RSI, Bollinger Band, and dispersion settings.
Toggle options for:
Viewing high/low VIX percentiles.
Showing standard deviation bands for WVF.
Custom trendline display levels at RSI key areas.
📌 Best Use Cases:
Detect early market reversals and volatility spikes.
Combine RSI strength with volatility-based bottom signals.
Layer dispersion-based logic on top of classic RSI strategies.
