Forward-Backward Exponential Oscillator [LuxAlgo]The Forward-Backward Exponential Oscillator is a normalized oscillator able to estimate directional shifts by making use of a unique "Forward-Backward Filtering" calculation method for Exponential Moving Averages (EMAs).
This unique method provides a smooth normalized representation of the price with reduced lag.
🔶 USAGE
The oscillator consists of 2 series of values derived from normalizing the sum of each EMA's change across the selected user lookback window (length), one less reactive computed forward (in grey), and the other re-calculated backward for each bar (in blue).
Given this "Forward-Backwards" calculation method, we are able to produce a more reactive oscillator compared to the same operation done on a simple double-smoothed EMA.
The interaction between these 2 values (Forward Value and Backward Value) can highlight shifts in market momentum over time.
When the Forward Value is above the Backward Value, the price is seen moving up, and likewise, when the Forward EMA is below, the Backward EMA price is seen moving down.
The indicator specifically displays the difference between values through a histogram located at the 50 mark on the oscillator.
🔹 Projection
We project the approximated future values of the forward value in front of the current line. This helps show the data that is being used for the creation of the Forward Value.
🔹 Length & Smoothing
The Smoothing Input controls the length of the EMAs which are analyzed.
The Length Input controls the lookback for the sum of changes from the EMAs.
Displayed below is a comparison of varying input sizes and their results.
As seen above:
A larger length input will result in slower, gradual movement by the oscillator since the summed values are from a larger lookback.
A higher smoothing setting will result in smoother EMAs, leading to a smoother oscillator output that is less contaminated by noisy variations.
Note: The length of the projection is tied to the "length" input, to get a longer projection, a larger length is required.
🔶 DETAILS
Forward-backward filtering is a method applied to LTI (linear time-invariant) filters to provide a filter response with zero-phase shift, this has the visible effect of shifting a regular causal filter response to the right, making it appear has have effectively 0 lag.
The name of this operation indicates that the filter is first calculated forward over a series of values (like regular moving averages), then calculated backward, using the previous output as input for the filter, effectively applying the filter twice.
While this operation effectively allows us to obtain a zero-lag response when applied to an EMA, it is subject to repainting, as this indicator only returns the normalized sum of changes of the forward-backward EMA, which does not introduce any repainting behaviors in the final output of the oscillator.
🔶 SETTINGS
Length: Change the calculation lookback length for the oscillator.
Smoothing: Alter the smoothness of the back-end EMA calculations.
Source: Change the source input used for the indicator.
Indicators and strategies
LEXUS - SCALPER v2Overview:
The LEXUS - SCALPER v2 is a powerful trading indicator designed for scalpers who thrive on making quick, precise trades. By leveraging multiple moving averages and fundamental concepts from the BBMA (Bollinger Bands and Moving Averages) strategy, this indicator helps traders accurately identify trends and take advantage of pullbacks to entry.
Key Features:
Multiple Moving Averages: The indicator uses multiple moving averages to identify the trend direction. also the moving averages work in harmony to provide a clear picture of the market’s current state to entry on pullbacks.
BBMA Concepts: By incorporating BBMA principles, the LEXUS - SCALPER v2 enhances trend identification and ensures that trades are made in alignment with market conditions.
Scalping Focus: This indicator is specifically designed for scalping, allowing traders to capitalize on very short-term market movements for quick profits.
How It Works:
Trend Identification: The moving averages are used to determine the overall trend. When the moving average is ascending, it indicates a bullish trend. Conversely, when the moving average is descending, it indicates a bearish trend.
Entry Points: The LEXUS - SCALPER v2 marks entry points on the pullbacks with an arrow above or below the closing candle. These arrows signal potential trade opportunities based on the trend and pullbacks.
Exit Points: To manage risk and protect profits, the indicator includes a CUTLOSS line. When the price closes below this line, it signals that it's time to exit the position.
Usage Instructions:
Add the Indicator: Add the LEXUS - SCALPER v2 to your TradingView chart.
Identify Entry Points: Look for arrows on the closing candles, which indicate potential trade opportunities based on pullbacks.
Manage Risk: Pay attention to the CUTLOSS line. If the price closes below this line, exit the position to minimize losses.
DataDoodles RSI Screener - ForexDataDoodles RSI Screener - Forex
📌 Overview
The DataDoodles RSI Screener is a powerful multi-symbol RSI analyzer designed for Forex traders. This script provides an intuitive visual representation of the Relative Strength Index (RSI) across multiple Forex pairs, allowing traders to quickly identify overbought/oversold conditions, trends, and momentum shifts.
📌 Key Features
✅ Multi-Symbol RSI Screener – Monitors RSI across 40 major Forex pairs in a single view.
✅ Custom RSI Source – Choose between Price, OBV, or Open Interest as the RSI calculation source.
✅ Multiple Timeframes Support – Customize RSI timeframe for a multi-timeframe analysis.
✅ Gradient Coloring & Heatmap – Dynamic color coding makes it easy to spot strong and weak RSI levels.
✅ RSI Change Lines – Tracks previous RSI values to show historical momentum shifts.
✅ Group Average RSI Mode – Aggregates RSI values to generate a market-wide sentiment index.
✅ Customizable Display Options – Adjust label spacing, offsets, and appearance settings for personalized visualization.
✅ Interactive Table Header – Displays timeframe, RSI length, and source information for quick reference.
✅ Support & Resistance Levels – Plots RSI-based support/resistance zones to highlight potential trading opportunities.
📌 How to Use
1️⃣ Add the script to your chart (select a Forex pair, but the screener will analyze multiple pairs).
2️⃣ Configure settings like RSI length, source, timeframe, and visualization preferences.
3️⃣ Observe RSI trends, heatmap colors, and screener labels to identify market opportunities.
4️⃣ Use the Group Average RSI mode to assess overall market strength.
📌 Ideal For
✔ Forex traders looking for a quick RSI screener across multiple pairs.
✔ Swing & day traders who use RSI-based strategies to time entries and exits.
✔ Anyone who wants a visual & easy-to-read RSI dashboard.
🔥 Upgrade your Forex trading with the DataDoodles RSI Screener! 🚀
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
Pattern Recognition with SignalsGrok Script 1
Grok.AI created indicator for TradingView that automatically identifies bullish and bearish patterns based on the time intervals that will also point out when to buy and when to sell
ind wfp 1.2 with Trendsthis marks the s/r and trends in live market. works well for scalping. also marks probable W and flag and pole pattern.
WAVE시그널(추세)WAVE 시그널(추세) - SuperTrend 기반 트렌드 지표
🔹 개요
WAVE 시그널(추세)은 ATR(평균 진폭)과 SuperTrend 알고리즘을 기반으로 시장의 상승 및 하락 추세를 분석하는 지표입니다.
ATR을 활용한 변동성 조절 기능과 매수/매도 신호를 제공하여 트레이더들이 보다 정확한 진입 및 청산을 결정할 수 있도록 돕습니다.
🔹 주요 기능
✅ SuperTrend 기반 추세 감지: 상승/하락 추세를 ATR을 이용하여 효과적으로 탐지
✅ 매수/매도 신호 표시: 추세 전환 시 매수(초록) 및 매도(빨강) 라벨을 표시하여 진입 타이밍 제공
✅ 변동성 반영 가능: ATR 계산 방식을 선택하여 사용자 맞춤형 조정 가능
✅ 시각적 강조 효과: 상승/하락 추세에 따른 차트 하이라이팅 기능
✅ 알림(Alert) 기능: 추세 전환 및 매수/매도 신호 발생 시 알람 전송
🔹 활용 방법
📌 추세 매매: SuperTrend 선이 상승할 때 매수, 하락할 때 매도 신호로 활용
📌 변동성 매매: ATR 값을 조절하여 변동성이 높은 구간에서도 대응 가능
📌 알림 설정: 매매 신호 또는 추세 변화를 감지하는 자동화된 트레이딩 전략에 적용
💡 본 스크립트는 단독으로 사용하기보다 다른 보조 지표와 함께 활용하면 더욱 효과적입니다.
Flow Optimized Moving AverageOverview
The Flow Optimized Moving Average (Flow OMA) is an advanced adaptive moving average designed to dynamically adjust smoothing factors based on market efficiency and volatility. By integrating the Efficiency Ratio (ER) with an Adaptive Moving Average (AMA) and leveraging ATR-based bands, this indicator provides traders with a refined tool for identifying trend direction, strength, and potential reversal zones.
Key Features
Adaptive Moving Average (AMA)
Adjusts to price action based on the Efficiency Ratio (ER), reducing lag in trending markets while smoothing noise in ranging conditions.
Efficiency Ratio (ER)
Measures the effectiveness of price movement over a defined lookback period.
Helps in dynamically adjusting the smoothing constant of the AMA.
ATR-Based Volatility Bands
Creates upper and lower dynamic bands based on the Average True Range (ATR).
Expands in high volatility and contracts in low volatility, providing traders with a contextual understanding of price action.
Slope-Based Trend Strength
Normalizes the moving average slope relative to ATR.
Generates a trend strength score, which influences band opacity, making strong trends visually distinguishable.
Dynamic Color Coding
Bullish Trends: Cyan/Turquoise (#00e2ff)
Bearish Trends: Blue (#003ff5)
Neutral Trends: Gray
The transparency of the bands dynamically adjusts based on trend strength.
Fill Zone Effect
The area between the ATR bands is filled with a gradient-like effect, giving a clear visual representation of trend strength and transitions.
Indicator Components
Inputs (User Settings)
ER Lookback Period: Defines how many bars are used in the Efficiency Ratio calculation (default: 10).
Fast & Slow Periods: Control the sensitivity of the Adaptive Moving Average (default: 2 & 30).
ATR Period: Defines the lookback for Average True Range (default: 14).
Band Multiplier: Determines the width of ATR-based bands (default: 1.5).
Slope Average Period: Smooths trend slope for more stable trend assessment (default: 5).
Efficiency Ratio Calculation
Measures how effectively price moves in a straight line compared to its total movement.
A higher ER value suggests strong trend momentum, while a lower value implies consolidation.
Adaptive Moving Average (AMA)
Dynamically adjusts its smoothing factor based on ER.
Uses a smoothing constant that ranges between the fastest and slowest specified values.
Volatility-Based Bands
Constructed using the ATR multiplier.
Expand and contract dynamically in response to market volatility.
Trend Strength & Direction
Computed using the normalized slope of AMA against ATR.
Positive slope = Bullish trend, Negative slope = Bearish trend.
Visual Enhancements
Colored Adaptive MA Line: Changes based on trend direction.
ATR Bands with Gradient Fill: Visual representation of market conditions.
Dynamic Opacity: Highlights trend strength through transparency.
How to Use the Flow OMA Indicator
Trend Identification
When the Adaptive MA is rising and colored cyan, a bullish trend is in play.
When the Adaptive MA is falling and colored blue, a bearish trend is present.
Trend Strength Assessment
A stronger trend results in more opaque band fills, indicating a clear directional bias.
Weaker trends or consolidations result in fainter fills, signaling a loss of momentum.
Reversal Signals
If price touches the upper band in a bullish move and starts reversing, it can indicate potential profit-taking areas.
If price approaches the lower band in a bearish move and rebounds, a short-term reversal may be imminent.
Volatility Insights
Narrow bands indicate low volatility and possible breakout conditions.
Wider bands suggest increased volatility, warning traders of potential price swings.
Best Practices
✅ Combine with Other Indicators
Use RSI, MACD, or Volume Profile for confirmation before executing trades.
✅ Apply to Multiple Timeframes
Works effectively in higher timeframes (1H, 4H, Daily) for trend trading.
Can be utilized in lower timeframes (5m, 15m) for scalping setups.
✅ Adjust Parameters Based on Asset Volatility
Increase ATR Period for stocks with high volatility.
Reduce ATR Multiplier for forex pairs to avoid excessive band width.
The Flow Optimized Moving Average (Flow OMA) is a powerful trend-following tool designed for both swing and intraday traders. Its adaptive nature allows it to efficiently track trends while minimizing false signals. By incorporating dynamic volatility bands and trend-sensitive color coding, this indicator enhances traders' ability to read price action effectively. Whether used standalone or in combination with other indicators, Flow OMA provides a significant edge in trend analysis.
VWAP Horizon Suite Optimized - CoffeeKillerVWAP Horizon Suite Optimized - User Guide
Overview
The VWAP Horizon Suite Optimized is a comprehensive technical analysis tool for TradingView designed to enhance your trading strategy with Volume Weighted Average Price (VWAP) analysis, standard deviation bands, and customizable Exponential Moving Averages (EMAs). This indicator provides a robust framework for identifying potential support and resistance levels, price momentum, and market trends.
Key Features
- **Daily VWAP with Session Reset**: Automatically resets at 17:00 (5:00 PM) each day
- **Customizable Standard Deviation/Percentage Bands**: Up to 3 bands above and below VWAP
- **High/Low Point Detection**: Visual markers for significant price levels
- **Multiple Customizable EMAs**: 8 different EMAs that can be individually toggled and styled
- **Visual Customization**: Adjustable colors, fills, and styles for all elements
VWAP Settings
- **Source**: Determines the price data used to calculate VWAP (default: HLC3 - High, Low, Close average)
Bands Settings
- **Bands Calculation Mode**: Choose between "Standard Deviation" or "Percentage" methods
- **Show Band #1, #2, #3**: Toggle visibility for each band
- **Band Multiplier #1, #2, #3**: Adjust the distance from VWAP (in standard deviations or percentage)
- **Show Fills**: Enable colored fills between bands for better visualization
Visualization Settings
- **Show High/Low Markers**: Display diamond markers for local high and low points relative to VWAP, these reset based on the price crossing the VWAP Line.
EMA Settings
The indicator provides 8 customizable EMAs (8, 13, 21, 26, 48, 50, 100, and 200) with individual controls:
- **Show EMA X**: Toggle visibility for each EMA
- **EMA X Period**: Adjust the period length for calculation
- **EMA X Color**: Customize the color of each EMA
- **EMA Line Width**: Set the width for all EMA lines
How to Use
Basic VWAP Analysis
The core VWAP line (blue) represents the average price weighted by volume since the start of the session (17:00 daily reset). This serves as a dynamic support/resistance level and reference point for intraday trading.
1. **Price above VWAP**: Generally bullish short-term sentiment
2. **Price below VWAP**: Generally bearish short-term sentiment
3. **Crosses of VWAP**: Potential shift in short-term momentum
Standard Deviation Bands
The bands surrounding VWAP help identify potential support, resistance, and volatility levels:
- **Band #1 (±1σ)**: Price often reverts to VWAP when reaching these levels
- **Band #2 (±2σ)**: Stronger support/resistance areas, possible reversal zones
- **Band #3 (±3σ)**: Extreme price levels, often indicating overbought/oversold conditions
High/Low Point Detection
Purple and yellow diamond markers identify significant swing highs and lows relative to VWAP, helping you recognize potential reversal points or continuation patterns. (These repaint in a effort to find the max high/low point from the VWAP Line)
EMA Strategy
The customizable EMAs can be used to:
- Find potential support/resistance levels
- Create crossover systems
- Analyze market structure
Common EMA combinations include:
- 8 & 21 for short-term trends
- 50 & 200 for long-term trends and the "Golden Cross/Death Cross"
- 13 & 48 for the "New Golden Cross" - a modern alternative gaining popularity among traders
- 8, 13, 21 for complex short-term momentum analysis
Advanced Usage Tips
For Day Traders
1. **Opening Range Analysis**: Watch how price reacts to VWAP in the first hour of trading
2. **VWAP Reversions**: Look for trades when price touches outer bands and reverses toward VWAP
3. **Band Breakouts**: Strong moves beyond Band #2 may indicate momentum for continuation
For Swing Traders
1. **Use alongside daily/weekly support-resistance levels**
2. **Combine with EMA crossovers for trend confirmation**
3. **Identify potential reversal zones where price reaches Band #3**
Combined Strategies
- **EMA + VWAP Confluence**: Strong signals occur when EMA lines and VWAP/bands align at the same price level
- **High/Low + Band Touch**: When a high/low marker appears near a band, it may indicate a stronger support/resistance level
Conclusion
The VWAP Horizon Suite Optimized provides a comprehensive set of tools for price analysis based on volume-weighted data and exponential averages. By understanding and properly configuring the various components, you can create a powerful visual framework for identifying potential trading opportunities across multiple timeframes.
Remember that no indicator provides perfect signals, and the VWAP Horizon Suite works best when used as part of a complete trading strategy that includes risk management, multiple confirmation tools, and proper analysis of market conditions.
DISCLAIMER
**DISCLAIMER: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.**
TRENDOGRAPH-GenAIIntroduction
Unlock the power of early trend detection with TRENDOGRAPH! This flexible and customizable indicator, developed with unique logic and AI support, leverages advanced prediction methods to provide early buy/sell signals, setting it apart from traditional indicators.
Key Features
MACD Histogram: Measures momentum changes.
MACD Reversal: Detects potential trend reversals.
RSI: Identifies overbought or oversold conditions.
Ichimoku: Analyzes support and resistance levels.
Stochastic: Highlights potential price reversals.
Supertrend: Confirms trend direction.
Customization
Adjust the weights of each indicator to find the most accurate combination for your trading strategy. Experiment with different parameters to optimize performance for various assets.
Warnings!
Each chart has unique characteristics.
Use different parameters for crypto and stocks for maximum accuracy.
Validate parameter weights and threshold levels with historical data for each asset.
This tool is designed to help you create your own unique indicator, not as a standalone solution.
Disclaimer: Use at your own risk. This indicator is for testing and comparison purposes only.
MACD with Holt–Winters Smoothing [AIBitcoinTrend]👽 MACD with Holt–Winters Smoothing (AIBitcoinTrend)
The MACD with Holt–Winters Smoothing is an momentum indicator that enhances traditional MACD analysis by incorporating Holt–Winters exponential smoothing. This adaptation reduces lag while maintaining trend sensitivity, making it more effective for detecting trend reversals and sustained momentum shifts. Additionally, the indicator includes real-time divergence detection and an ATR-based trailing stop system, helping traders manage risk dynamically.
👽 What Makes the MACD with Holt–Winters Smoothing Unique?
Unlike the standard MACD, which relies on simple exponential moving averages, this version applies Holt–Winters smoothing to better capture trends while filtering out market noise. Combined with real-time divergence detection and a trailing stop system, this indicator allows traders to:
✅ Identify trend strength with a dynamically smoothed MACD signal.
✅ Detect bullish and bearish divergences in real time.
✅Implement Crossover/Crossunder signals tied to ATR-based trailing stops for risk management
👽 The Math Behind the Indicator
👾 Holt–Winters Smoothing for MACD
Traditional MACD calculations use exponential moving averages (EMA) to identify momentum. This indicator improves upon it by applying Holt’s linear trend equations, which enhance signal accuracy by reducing lag and smoothing out fluctuations.
Key Features:
Alpha (α) - Controls the weight of the new data in smoothing.
Beta (β) - Determines how fast the trend component adapts to new changes.
The Holt–Winters Signal Line provides a refined MACD crossover system for better trade execution.
👾 Real-Time Divergence Detection
The indicator identifies bullish and bearish divergences between MACD and price action.
Bullish Divergence: Occurs when price makes a lower low, but MACD makes a higher low – signaling potential upward momentum.
Bearish Divergence: Occurs when price makes a higher high, but MACD makes a lower high – signaling potential downward momentum.
👾 Dynamic ATR-Based Trailing Stop
The indicator includes a trailing stop system based on ATR (Average True Range). This allows traders to manage positions dynamically based on volatility.
Bullish Trailing Stop: Triggers when MACD crosses above the Holt–Winters signal, with a stop placed at low - (ATR × Multiplier).
Bearish Trailing Stop: Triggers when MACD crosses below the Holt–Winters signal, with a stop placed at high + (ATR × Multiplier).
Trailing Stop Adjustments: Expands or contracts dynamically with market conditions, reducing premature exits while securing profits.
👽 How Traders Can Use This Indicator
👾 Divergence Trading
Traders can use real-time divergence detection to anticipate trend reversals before they occur.
Bullish Divergence Setup:
Look for MACD making a higher low, while price makes a lower low.
Enter long when MACD confirms upward momentum.
Bearish Divergence Setup:
Look for MACD making a lower high, while price makes a higher high.
Enter short when MACD confirms downward momentum.
👾 Trailing Stop & Signal-Based Trading
Bullish Setup:
✅ MACD crosses above the Holt–Winters signal.
✅ A bullish trailing stop is placed using low - ATR × Multiplier.
✅ Exit if the price crosses below the stop.
Bearish Setup:
✅ MACD crosses below the Holt–Winters signal.
✅ A bearish trailing stop is placed using high + ATR × Multiplier.
✅ Exit if the price crosses above the stop.
This systematic trade management approach helps traders lock in profits while reducing drawdowns.
👽 Why It’s Useful for Traders
Lag Reduction: Holt–Winters smoothing ensures faster and more reliable trend detection.
Real-Time Divergence Alerts: Identify potential reversals before they happen.
Adaptive Risk Management: ATR-based trailing stops adjust to volatility dynamically.
Works Across Markets & Timeframes: Effective for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
MACD Fast & Slow Lengths: Adjust the MACD short- and long-term EMA periods.
Holt–Winters Alpha & Beta: Fine-tune the smoothing sensitivity.
Enable Divergence Detection: Toggle real-time divergence analysis.
Lookback Period for Divergences: Configure how far back pivot points are detected.
ATR Multiplier for Trailing Stops: Adjust stop-loss sensitivity to market volatility.
Trend Filtering: Enable signal filtering based on trend direction.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
FibLines and pivot pointsThis indicator integrates Fibonacci retracements and pivot points to identify potential support and resistance levels for trading decisions. The script calculates pivot points using standard formulas (Classic, Fibonacci, Woodie, or Camarilla) and overlays Fibonacci retracement levels based on recent price swings.
Key Features:
Pivot Points Calculation: Computes support and resistance levels using the chosen pivot formula.
Fibonacci Retracements: Automatically plots retracement levels from recent highs and lows.
Confluence Zones: Highlights areas where Fibonacci levels align with pivot points for stronger signals.
Customization: Allows traders to select different pivot types, timeframes, and Fibonacci settings.
Alerts & Signals: Generates alerts when price approaches a significant confluence zone.
How It Works:
Detects recent highs and lows for Fibonacci retracement calculation.
Computes pivot points and their support/resistance levels.
Identifies key Fibonacci levels (e.g., 23.6%, 38.2%, 50%, 61.8%, 78.6%).
Plots both sets of levels on the chart, highlighting overlapping zones.
Provides visual signals & alerts when price interacts with these levels.
This indicator helps traders spot potential reversal or breakout areas by leveraging the strength of both Fibonacci and pivot points.
[TehThomas] - ICT Volume ImbalanceThis script is a Volume Imbalance (VI) detector and visualizer for use on the TradingView platform. The goal of the script is to automatically identify areas where there are significant imbalances in the volume of trades between consecutive candlesticks and visually highlight these areas. These imbalances can provide traders with valuable insights about the market’s current condition, often signaling potential reversal or continuation points based on price and volume action.
ICT (Inner Circle Trader) Concept of Volume Imbalances
Volume imbalances are a critical concept in the ICT trading methodology. They refer to situations where there is an unusual or significant difference in volume between two consecutive candlesticks, which might indicate institutional or large player activity. According to ICT principles, these imbalances can show us areas of market inefficiency or potential price manipulation. By identifying these imbalances, traders can gain an edge in understanding where the market is likely to move next.
Bullish and Bearish Volume Imbalances:
Bullish Volume Imbalance: This occurs when there is a strong increase in buying pressure, typically indicated by a higher volume on a candle that closes significantly above the previous one, often leaving a gap or larger price movement. The market could be preparing to push higher, and the volume shows a clear shift in buying demand.
Bearish Volume Imbalance:
Conversely, a bearish imbalance occurs when there is a strong increase in selling pressure, typically signaled by a candle that closes significantly lower than the previous one, again with higher volume. This could indicate that large players are offloading positions, and the price is likely to drop further.
Key Features and Functions of the Script
The script automates the process of detecting these volume imbalances and visually marking them on a price chart. Let’s explore its functionality in detail.
1. Inputs Section
The script allows for significant customization through its input options, which help traders adjust the detection and visualization of volume imbalances based on their individual preferences and trading style. Below are the details:
lookback (250 bars): This input specifies the number of bars (or candles) the script should look back when analyzing the volume imbalance. By setting this to 250, the user is looking at the last 250 bars on the chart to detect any significant volume imbalances. This period is adjustable between 50 to 500 bars.
volumeThreshold (1.0 multiplier): This input helps set the sensitivity for identifying volume imbalances. The script compares the volume of the current candle with the previous one, and if the current volume exceeds the previous volume by this threshold multiplier (in this case, 1.0 means at least equal to the previous volume), then it triggers an imbalance. Users can adjust the multiplier to suit different market conditions.
showBoxes (true/false): This toggle determines whether the boxes representing volume imbalances are drawn on the chart. When enabled, the script visually highlights the imbalances with colored boxes.
fillBaseColor (orange with 80% opacity): This is the color setting for the background of the imbalance boxes. A softer color (like orange with opacity) ensures the imbalance is highlighted without obscuring the price action.
borderColor (gray): The color of the border around the imbalance boxes. This adds a visual distinction to make the imbalance areas more visible.
borderWidth (1 pixel): This controls the width of the box's border to adjust how prominent it appears.
rightOffset (30 bars): This input controls how far the imbalance box extends to the right on the chart. It helps users anticipate the potential continuation of the imbalance beyond the current candle.
allowWickOverlap (true/false): This setting allows imbalances to be identified even if the wicks of the two consecutive candlesticks overlap. If set to false, only imbalances where the bodies of the candlesticks don’t overlap are considered.
showBrokenBoxes (true/false): If enabled, once a volume imbalance no longer holds true (i.e., the price breaks through the box), the box is marked as "broken." If disabled, the box is deleted when the imbalance condition no longer applies.
brokenBoxColor (red): This controls the color of the box when it is broken, which can be used as a visual cue that the imbalance was invalidated or no longer valid for analysis.
2. Volume Imbalance Function
This is the core function of the script, where the logic to detect bullish and bearish volume imbalances is implemented.
Bullish Imbalance Condition:
The first condition checks if the low of the current candle is greater than the high of the previous candle. This suggests that the market is moving upward with buying pressure.
The second condition checks whether the volume of the current candle is higher than the previous candle by the volumeThreshold multiplier. If both conditions are satisfied, a bullish imbalance is detected.
Bearish Imbalance Condition:
The first condition checks if the high of the current candle is lower than the low of the previous candle. This suggests downward price action with selling pressure.
The second condition checks whether the current volume exceeds the previous volume by the threshold
Allow Wick Overlap: If allowWickOverlap is set to true, the script will still detect imbalances if the wicks of the two candles overlap (common in volatile markets). If false, imbalances are only considered if the wicks do not overlap.
3. Box Creation and Management
When a volume imbalance is detected, the script creates a box on the chart:
The bullish imbalance box is drawn using the minimum of the open and close of the current bar as the top boundary and the maximum of the open and close of the previous bar as the bottom boundary.
Conversely, the bearish imbalance box is drawn in reverse, using the maximum of the current bar’s open and close as the top boundary and the minimum of the previous bar’s open and close as the bottom boundary.
Once the box is created, it is displayed on the chart with the specified background color, border color, and width.
4. Processing Existing Boxes
After detecting a new imbalance and drawing a box, the script checks whether the box should still remain on the chart:
If the price moves beyond the boundaries of the imbalance box, the box is marked as broken (if showBrokenBoxes is enabled), and its color is changed to red, signifying that the imbalance is no longer valid.
If the box remains intact (i.e., the price has not broken the defined boundaries), the script keeps the box extended to the right as the market continues to evolve.
5. Removing Outdated Boxes
Lastly, the script removes boxes that are older than the specified lookback period. For example, if a box was created 250 bars ago, it will be deleted after that period. This ensures the chart stays clean and only focuses on relevant imbalances.
Why This Script is Useful for Traders
This script is extremely valuable for traders, especially those following the ICT methodology, because it automates the process of detecting market inefficiencies or imbalances that might signal future price action. Here’s why it’s particularly useful:
Identifying Key Areas of Interest: Volume imbalances often point to areas where institutional or large-scale traders have entered the market. These areas could provide clues about the next significant move in the market.
Visualizing Market Structure: By automatically drawing boxes around volume imbalances, the script helps traders visually identify potential areas of support, resistance, or turning points, enabling them to make informed trading decisions.
Time Efficiency: Instead of manually analyzing each candlestick and volume spike, this script does the heavy lifting, saving traders valuable time and allowing them to focus on other aspects of their strategy.
Enhanced Trade Entries and Exits: By understanding where volume imbalances are occurring, traders can time their entries (buying during bullish imbalances and selling during bearish ones) and exits (as imbalances break) more effectively, thus improving their chances of success.
Conclusion
In summary, this script is a powerful tool for traders looking to implement volume imbalance strategies based on the ICT methodology. It automates the identification and visualization of significant imbalances in price and volume, offering traders a clear visual representation of potential market turning points. By customizing the settings, traders can tailor the script to their preferred timeframes and sensitivity, making it a flexible and effective tool for any trading strategy.
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VIX:VIX3M RatioThe VIX/VIX3M Ratio indicator compares the short-term (1-month) volatility index (VIX) to the medium-term (3-month) volatility index (VIX3M). This ratio provides insights into the market's volatility expectations across different time horizons.
Key Interpretations:
Ratio > 1: Short-term volatility expectations are higher than 3-month expectations
Ratio = 1: Short-term and medium-term volatility expectations are aligned
Ratio < 1: Medium-term volatility expectations are higher than short-term expectations
Potential Trading Insights:
A rising ratio may indicate increasing near-term market uncertainty
Significant deviations from 1.0 can signal potential market stress or changing risk perceptions
Traders use this to gauge the term structure of market volatility
Triangle Reversal IndicatorTriangle Reversal Indicator – A Visual Tool for Identifying Reversal Patterns
This indicator is designed to highlight potential trend reversal moments by comparing the current candle with the previous one. It offers a unique approach by focusing on distinct candle patterns rather than generic trend indicators, making it a valuable addition to your trading toolkit.
How It Works:
For a bullish signal, the indicator checks if:
The current candle is bullish (closing higher than it opens) while the previous candle was bearish.
The current candle’s low breaches the previous bearish candle’s low.
The current candle’s close is above the previous bearish candle’s close.
When these conditions are met, a tiny green triangle is plotted below the candle to signal a potential bullish reversal.
Conversely, for a bearish signal, it verifies if:
The current candle is bearish (closing lower than it opens) following a bullish candle.
The current candle’s high exceeds the previous bullish candle’s high.
The current candle’s close falls below the previous bullish candle’s close.
If all conditions are satisfied, a small red triangle appears above the candle to indicate a potential bearish reversal.
How to Use:
Simply apply the indicator on your chart and look for the tiny triangles that appear above or below the candles. These markers can serve as an additional visual cue when confirming entry or exit points, but it’s best used alongside your other analysis techniques.
Customization Options:
Users can further enhance the script by adding inputs for lookback periods, adjusting the triangle size, or modifying colors to match their chart themes.
Fluxz PSY Levels med FVGsThe Fluxz PSY Levels & FVGs indicator is designed for traders who want clear psychological levels and Fair Value Gaps (FVGs) to enhance their technical analysis. It automatically plots key price levels at every 100-point interval within the active price range, while also detecting FVGs to highlight liquidity inefficiencies in the market.
This tool provides a clean and minimalistic visualization of price action, making it ideal for intraday traders, scalpers, and swing traders who rely on psychological price levels and smart money concepts.
⚙️ Features & Functionalities
✅ Automatic Psychological Levels
• Plots 100-point intervals dynamically based on the current price range
• Extends lines left, right, or both (customizable)
• Labels levels clearly for easy identification
✅ Fair Value Gap (FVG) Detection
• Identifies bullish (green) and bearish (red) FVGs in real-time
• Uses historical price action validation to ensure accurate marking
• Automatically deletes outdated FVGs
✅ Customizable Moving Averages
• Includes optional MA20, MA50, and MA200
• Helps traders identify trend direction and key support/resistance
✅ Fully Adjustable & User-Friendly
• Customizable line colors, text sizes, and extensions
• Works across all timeframes and assets (Forex, Stocks, Crypto, Futures)
• Lightweight and optimized for minimal chart clutter
🛠️ How to Use
1️⃣ Psychological Levels
• Identify potential support & resistance areas where price reacts
• Use them for entry/exit zones, stop-loss placements, and TP targets
2️⃣ Fair Value Gaps (FVGs)
• Look for bullish gaps (green) as potential demand zones
• Spot bearish gaps (red) as areas of supply/liquidity voids
3️⃣ Moving Averages (Optional)
• Combine MAs with levels to confirm trend strength and reversals
Bollinger Pivot IndicatorBollinger Pivot Indicator:
There are two components in this indicator.
Moving Averages:
We must confirm the trend and take a small stop loss while executing the trade.
Pivots:
We have used daily and weekly pivots to determine any breakout or breakdown.
The preferred time frame for analysis is hourly.
The trade must be executed in lower time frames.
Also, there is no holy grail in the market.
Disclaimer: We are not responsible in any way for your profit or loss.
Williams Percent Range ShadedThis is a William %R indicator with color gradient applied. This was done so that we can visually understand the Overbought and oversold regions with help of color coding. This makes understanding of topic much easier.
Smart Money ConceptsSpecially designed to work with my other indicators
Purpose is for analyzing the markets for best entries
Akshat_Vix_Fix Finds Market Bottom📌 Akshat VIX Fix Indicator - Explanation
This Pine Script creates a custom volatility indicator inspired by the Williams VIX Fix. It detects potential market tops and bottoms based on price volatility, Bollinger Bands, and custom percentile-based thresholds. The script colors bars dynamically based on consecutive signals, providing a visual intensity gradient.
📌 How It Works
1️⃣ Williams VIX Fix Calculation
The script computes WVFix, which measures how low the current price is compared to the highest price over a lookback period (pd).
The formula:
WVF=( Highest Price (pd) −Low Price )/ (Highest Price (pd))×100
This metric helps identify extreme fear in the market (high WVF values indicate potential reversals).
2️⃣ Bollinger Band Analysis
The script calculates Bollinger Bands (BB) using a moving average (midline) and standard deviation (sDev).
The upper band acts as a volatility threshold.
Formula:
Upper Band
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Upper Band=SMA(WVF,bbl)+(mult×stdev(WVF,bbl))
3️⃣ Percentile-Based High & Low Ranges
The script sets dynamic high and low thresholds (rangeHigh, rangeLow) based on percentiles over a lb lookback period.
These levels highlight unusually high or low volatility values.
4️⃣ Consecutive Signal Tracking
The script tracks how many times in a row WVF crosses the upper band or high range.
If WVF keeps exceeding the threshold, countLime increases.
If it drops below, countLime resets to zero.
5️⃣ Dynamic Color Gradient (Hue Effect)
The histogram bars change color dynamically based on countLime (the number of consecutive signals).
More intense color = stronger volatility.
Gray → No signal
Light Pink → Dark Red → Increasing volatility
Maroon → Extreme volatility
Input Name Type Purpose
pd Integer Lookback period for highest price (used in WVF calculation).
bbl Integer Bollinger Band length.
mult Float Standard deviation multiplier for Bollinger Bands.
lb Integer Lookback period for percentile high calculation.
ph Float Percentile threshold for rangeHigh.
pl Float Percentile threshold for rangeLow.
hp Boolean Toggles display of high/low range levels.
sd Boolean Toggles display of Bollinger Bands.
Williams VIX Fix (Histogram)
-Color intensity changes based on consecutive signals.
Range High & Low Lines
-Orange lines show percentile-based thresholds.
Bollinger Bands (Optional)
-Aqua-colored upper band to track price volatility.
📌 Key Takeaways
✅ Detects volatility spikes and potential market reversals.
✅ Uses Bollinger Bands & percentile-based signals for accuracy.
✅ Dynamic color gradient to visualize increasing intensity.
✅ Customizable lookback & threshold settings for fine-tuning.
By - Akshat Sirohi
Email - sirohi2706 gmail.com
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