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Dynamic Timeframe Trend AnalyzerPurpose and Core Logic This indicator automatically adjusts its calculations based on the current chart’s timeframe, allowing traders to analyze trends, momentum, and mean reversion opportunities without manually changing indicator settings for each interval. It detects potential long or short setups by combining several techniques: Dynamic Timeframe Factor The script compares the current timeframe to a base (e.g., 5 minutes) and calculates a “factor” to scale certain parameters, such as EMA lengths or ATR settings. This reduces the need to reconfigure indicators when switching timeframes. Regime Detection It uses ADX (Average Directional Index) to classify the market as strongly trending, moderately trending, choppy, or in a potential mean-reversion phase. RSI (Relative Strength Index) is also monitored for extreme levels (e.g., overbought/oversold) to detect potential reversal zones. Volume is compared to a moving average to confirm or refute volatility conditions. Trend & Mean Reversion Signals EMA Alignment (8/21/55) helps identify bullish or bearish phases (strong bull if all EMAs align upward, strong bear if aligned downward). For mean reversion opportunities, the script checks if ADX is sufficiently low (indicating weak or no trend) while price and RSI are at extreme levels—suggesting a snapback or countertrend move may occur. Dynamic Stop Loss & Take Profit Uses ATR (Average True Range) to set initial stop-loss (SL) and take-profit (TP) levels, then adjusts these levels further with “regime multipliers” based on whether the market is in a high-volatility trend or a quieter mean-reversion environment. This approach aims to place stops and targets in a more adaptive way, reflecting current market conditions rather than a one-size-fits-all approach. Visual Aids Color-coded chart backgrounds (e.g., greenish for bullish trend, red for bearish, yellow/orange for mean reversion). Triangles to show recent bullish/bearish signals. A status table in the top-right corner (optional) displaying key metrics like ADX, RSI, dynamic thresholds, current SL/TP levels, and whether a stop loss has been hit. How It Works Internally ADX & Dynamic Thresholds: A moving average (adx_mean) and standard deviation (adx_std) of the ADX are calculated over a lookback period to define “strong” vs. “weak” ADX thresholds. This allows the script to adapt to changing volatility and trend strength in different markets or timeframes. Mean Reversion Criteria: The indicator checks if price deviates significantly from its own moving average, alongside RSI extremes. If ADX suggests no strong directional push (i.e., the market is “quiet”), it may classify conditions as mean-reverting. Regime Multipliers: Once the script identifies the market regime (e.g., strong uptrend, choppy, mean reversion), it applies different multipliers to the user-defined base values for stop-loss and take-profit. For instance, strong trending conditions might allow for wider stops to handle volatility, while mean reversion signals use tighter exits to capture quick reversals. How to Use It Timeframe Agnostic Simply apply it to any timeframe (from 1-minute up to daily or weekly). The “Dynamic Timeframe Factor” will scale the indicator parameters automatically. Look for Buy/Sell Triangles When the script detects a valid bullish trend shift or a mean-reversion long setup, it plots a green triangle under the price bar. Conversely, it plots a red triangle above the price bar for bearish or mean-reversion short setups. Check the Status Table The table in the top-right corner summarizes the indicator’s current readings: ADX, RSI, volume trends, and the market regime classification. The table also shows if a stop loss has been hit (SL Hit) and displays recommended SL/TP levels if a signal is active. Stop Loss & Take Profit The script plots lines for SL and TP on your chart after a new signal. These lines are automatically adjusted based on ATR, volume conditions, and ADX-derived multipliers. Mean Reversion vs. Trend-Following If you see a “Mean Rev” state in the table or the background turning yellow/orange, it suggests potential countertrend trades. Conversely, “STRONG BULL” or “STRONG BEAR” states favor momentum-based entries in the prevailing direction. Originality & Benefits Adaptive to Timeframe: Many indicators require reconfiguration when switching from short to long timeframes. This script automates that process using the “timeframe factor” logic. Regime-Based SL/TP: Instead of fixed risk parameters, the script dynamically tunes stop and target levels depending on whether the market is trending or reverting. Comprehensive Market View: It combines multiple factors—ADX, RSI, volume, moving averages, and volatility measurements—into a single, integrated framework that categorizes the market regime in real time. Best Practices & Notes Timeframes: It typically performs well on intraday timeframes (5m, 15m, 1H) but can also be used for swing trading on 4H or Daily charts. Settings: The defaults are a good starting point, but you can adjust the base ATR multiplier or ADX lookbacks if you prefer a different balance between sensitivity and stability. Risk Management: This indicator is not a guarantee of any specific results. Always use proper risk management (position sizing, stop-losses, and diversified strategies). Alert Conditions: Built-in alert conditions can notify you when a new long or short signal appears, or when a stop loss is triggered.
Pine Script™ indicator
by StonkTrader4
Chaikin Money Flow with EnhancementsThis enhanced version of the Chaikin Money Flow (CMF) indicator is designed to help traders better understand market sentiment by visualizing momentum shifts and trends based on volume-weighted accumulation and distribution. CMF Calculation: The CMF line is calculated using the typical CMF formula, which compares the close price to the high/low range, weighted by volume. Fading Color Zones: Green and red fading zones are added between the CMF line and the zero line. Green represents bullish momentum (CMF above zero), and red represents bearish momentum (CMF below zero). These zones highlight key shifts in market sentiment. Cross Detection: The indicator detects when the CMF crosses above or below the zero line, signaling potential trend changes. The price and CMF values at the time of the cross are stored and can be used for further analysis. Average Line: A configurable moving average of the CMF is plotted to provide a smoothed trendline, helping traders identify the overall direction of market sentiment. This indicator is ideal for traders who want to enhance their technical analysis by incorporating volume-weighted momentum indicators and identifying trend reversals more clearly.
Pine Script™ indicator
by gilamram007
CryptoMoves v3CryptoMoves v3 User Guide This comprehensive guide will help you interpret the various indicators in the CryptoMoves v3 Pine Script. The script combines multiple technical indicators to provide a holistic view of market conditions. Wave Trend Indicator The Wave Trend indicator is the core component of this script, offering insights into trend direction and potential reversals. Interpretation: WT Wave 1 and WT Wave 2: These are plotted as area charts. When WT1 crosses above WT2, it's generally bullish, and when it crosses below, it's bearish1. Overbought/Oversold Levels: The script uses multiple levels (-100, -60, -53, 53, 60, 100) to indicate extreme conditions1. VWAP: This additional wave provides a faster-moving trend indicator1. Key Signals: Buy Signal: Occurs when WT1 crosses above WT2 in oversold territory (below -60) and Stochastic RSI is below 201. Sell Signal: Triggers when WT1 crosses below WT2 in overbought territory (above 60) and Stochastic RSI is above 801. Stochastic RSI This indicator combines the sensitivity of RSI with the ranging capabilities of Stochastic oscillator. Interpretation: K and D Lines: The faster K line (blue) and slower D line (color varies) are plotted1. Overbought/Oversold: Levels are set at 80 (overbought) and 20 (oversold)1. Crossovers: When K crosses above D, it's potentially bullish; when K crosses below D, it's potentially bearish1. RSI + MFI (Money Flow Index) This custom indicator combines Relative Strength Index with Money Flow to gauge buying and selling pressure. Interpretation: Color Coding: Green indicates positive money flow (bullish), while red suggests negative flow (bearish)1. Zero Line: Crossing above zero is bullish, below is bearish1. ADX (Average Directional Index) ADX helps determine the strength of a trend, regardless of its direction. Interpretation: ADX Line: Values above 25 indicate a strong trend, below 25 suggest a weak trend1. +DI and -DI: When +DI is above -DI, the trend is bullish; when -DI is above +DI, the trend is bearish. Background Color: Green background indicates a strong trend, red indicates a ranging market1. RSI Divergence This component identifies potential trend reversals by comparing price action with RSI movements. Types of Divergences: Regular Bullish: Price makes lower lows, but RSI makes higher lows (potential upward reversal)1. Hidden Bullish: Price makes higher lows, but RSI makes lower lows (potential continuation of uptrend)1. Regular Bearish: Price makes higher highs, but RSI makes lower highs (potential downward reversal)1. Hidden Bearish: Price makes lower highs, but RSI makes higher highs (potential continuation of downtrend)1. Woodie CCI (Commodity Channel Index) The Woodie CCI helps identify cyclical trends in price. Interpretation: Overbought/Oversold: Default levels are set at +100 (overbought) and -100 (oversold)1. Trend Direction: CCI above zero suggests an uptrend, below zero suggests a downtrend1. Divergences: Can be used to spot potential reversals when price and CCI move in opposite directions1. Combining Indicators for Decision Making Strong Buy Signal: Occurs when Wave Trend shows a bullish crossover in oversold territory, Stochastic RSI is oversold, RSI shows bullish divergence, and Woodie CCI is oversold. Strong Sell Signal: Triggers when Wave Trend shows a bearish crossover in overbought territory, Stochastic RSI is overbought, RSI shows bearish divergence, and Woodie CCI is overbought. Trend Confirmation: Use ADX to confirm the strength of the trend identified by other indicators To optimize the CryptoMoves v3 indicator for different timeframes, we can adjust the input parameters. Here's a table with suggested optimizations for various timeframes: Optimization Rationale Shorter Timeframes (5-minute, 15-minute): Use shorter lengths for faster-moving indicators to capture quick market movements. Reduce smoothing periods to increase sensitivity. Medium Timeframes (1-hour, 4-hour): Use the default or slightly increased lengths to balance between responsiveness and noise reduction. Moderate smoothing to filter out minor fluctuations. Longer Timeframes (1-day, 1-week, 1-month): Increase lengths and smoothing periods to focus on longer-term trends. Reduce sensitivity to short-term price movements. Additional Considerations Wave Trend Levels: The overbought and oversold levels (53, 60, 100, -53, -60, -100) can remain consistent across timeframes as they represent standard deviation multiples. Stochastic RSI Levels: The overbought (80) and oversold (20) levels are typically kept constant across timeframes. ADX Threshold: The default of 25 is generally applicable across timeframes, but you might consider increasing it slightly (to 30) for longer timeframes to identify stronger trends. Woodie CCI Levels: The overbought (100) and oversold (-100) levels are standard and can remain consistent across timeframes. Remember that these are suggested optimizations based on general principles. It's crucial to backtest these settings on your specific trading instruments and adjust them according to your trading strategy and risk management rules. The optimal settings may vary depending on the specific asset and market conditions
Pine Script™ indicator
by Crypt0Curious
ZEMA Crossover with Volume & ATR FiltersThis indicator uses the crossover of two ZEMAs (Zero-Lag Exponential Moving Averages) with additional filters based on volume and ATR to confirm trading signals. It displays "BUY" and "SELL" entry/exit points on the chart. "BUY" Signal: Appears when ZEMA1 crosses above ZEMA2, volume exceeds the threshold (if filter is enabled), and ATR is above its SMA (if filter is enabled). "SELL" Signal: Appears when ZEMA1 crosses below ZEMA2, with the same filter conditions. ZEMA lines are plotted on the chart: green (ZEMA1) and red (ZEMA2). The area between them is filled with color (green for bullish, red for bearish).
Pine Script™ indicator
by WinTechLab
Median Volume Weighted Standard Deviation | QuantumResearchMedian Volume Weighted Standard Deviation (MVWSD) | QuantumResearch The MVWSD Indicator is a powerful market analysis tool that integrates median-based volume-weighted calculations with standard deviation analysis to help traders identify trend shifts, volatility expansion, and breakout opportunities. This adaptive approach minimizes noise while enhancing the accuracy of support/resistance levels and trade signals. 🚀📊 🔍 Key Features ✅ Volume-Weighted Median Calculation – Uses a VWMA-based median to emphasize price points backed by high trading volume, reducing the impact of erratic price movements. ✅ Standard Deviation & ATR-Based Volatility Bands – Expands or contracts dynamically based on market volatility, providing adaptive support & resistance levels. ✅ Bullish/Bearish Trend Signals – Detects shifts in market momentum by analyzing price movements relative to the deviation bands. ✅ Customizable Visualization & Alerts – Traders can adjust sensitivity, choose color themes, and set alerts for breakout conditions. ✅ Multi-Asset Compatibility – Works across various markets, including Bitcoin, Altcoins, and cross-asset pairs. 📈 How It Works 1️⃣ Volume-Weighted Median Calculation A VWMA-based median is applied to smooth price fluctuations and highlight dominant trends. This method improves accuracy over simple moving averages by factoring in trade volume influence. 2️⃣ Adaptive Volatility Bands Upper & Lower Bands adjust dynamically using standard deviation and ATR multipliers, expanding during high volatility and contracting during stable conditions. These bands act as dynamic support/resistance levels, helping traders gauge potential trend breakouts or reversals. 3️⃣ Trade Signal Generation 🟢 Long Signal (Bullish): When the price breaks above the upper ATR-based band, signaling potential uptrend continuation. 🔴 Short Signal (Bearish): When the price drops below the lower ATR-based band, indicating possible downside movement. ⚪ Neutral (No Signal): When price fluctuates within the bands without a decisive breakout. 4️⃣ Trend Confirmation via Color-Coded Bars Green bars = Bullish conditions 📈 Blue bars = Bearish conditions 📉 📊 Performance Across Different Markets 🔹 Solana (SOL/USD) Analysis: 🔹 Sui (SUI/USD) Analysis: 🔹 PancakeSwap (CAKE/USD) Analysis: 🔹 Solana vs. Bitcoin (SOL/BTC) Pair: 🔹 Solana vs. Ethereum (SOL/ETH) Pair: 🔹 Bitcoin (BTC/USD) Analysis: 🎯 Trading Applications 📌 Trend Identification – Helps traders determine whether the market is trending or ranging based on price interactions with the deviation bands. 📌 Volatility Breakouts – Expanding standard deviation bands indicate an increase in market volatility, often preceding large price movements. 📌 Dynamic Support & Resistance – Unlike static levels, these adaptive bands adjust to real-time market conditions, providing more accurate trading zones. 📌 Risk Management & Confluence – Works well when combined with other indicators to confirm trade setups and risk levels. ⚙️ Customization & Settings 🔧 Volume-Weighted Length – Adjust the VWMA period to emphasize short-term or long-term price movements. 🔧 Median Calculation Length – Fine-tune the median smoothing effect for optimal signal clarity. 🔧 ATR & Standard Deviation Multipliers – Modify sensitivity to capture early trend shifts or more confirmed moves. 🔧 Color Themes & Visibility Settings – Personalize the indicator’s appearance to match your preferred trading style. 🚀 Final Thoughts The MVWSD Indicator provides a unique blend of volume analysis, standard deviation filtering, and trend confirmation, making it a powerful tool for traders. While it effectively highlights volatility shifts and trend momentum, traders should always use additional confluence factors before making trade decisions. Alerts & Visual Cues ensure that users receive real-time notifications when key trade signals emerge. ⚠️ Disclaimer: The content is for informational and educational purposes only. Nothing contained within should be considered financial, investment, legal, or other professional advice. Past performance does not guarantee future results. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor. 📌 TradingView Alerts: Set alerts to get notified when a new long or short condition is detected.
Pine Script™ indicator
by QuantumResearch
2
OBV Trend Bands [Alpha Extract]OBV Trend Bands 📊 The OBV Trend Bands indicator leverages On-Balance Volume (OBV) to assess trend strength and potential reversals by plotting a dynamic median line alongside upper and lower bands based on standard deviation. This tool helps traders identify overbought or oversold conditions and visualize OBV momentum relative to historical trends. 🔶 CALCULATION The indicator calculates OBV, a dynamic median of OBV, and standard deviation bands to measure volume-driven momentum: • OBV: Cumulative volume that adds or subtracts based on price direction. • Aggregate Median: A smoothed median of OBV over a user-defined lookback period, adjusted by a minimum lookback for robustness. • Standard Deviation Bands: Upper and lower bands derived from the scaled aggregate median, adjusted by a multiplier. • Scaled OBV: OBV divided by a customizable scaling factor for better visualization. Formula: • OBV = Cumulative sum of volume (positive if price increases, negative if price decreases) • Aggregate Median = Average of simple medians over a range from minLookbackPeriod to length • Upper Band = Aggregate Median / Scaling Factor + StdMultiplier * StdDev • Lower Band = Aggregate Median / Scaling Factor - StdMultiplier * StdDev 🔶 DETAILS Visual Features: • OBV Line (Dynamic Color): Plotted with a color that shifts based on its position—green above the upper band (bullish), red below the lower band (bearish), and white between bands (neutral). • Upper Band (Green): Represents the overbought threshold, lightly shaded for clarity. • Lower Band (Red): Indicates the oversold threshold, also lightly shaded. • Aggregate Median Line (Gray): Acts as the central trend reference. • Fill Areas: Transparent green fill when OBV exceeds the upper band, transparent red fill when below the lower band, and no fill within the bands. Interpretation: • Bullish Signal: OBV rises above the upper band, suggesting strong buying pressure and potential trend continuation. • Bearish Signal: OBV falls below the lower band, indicating selling pressure and possible trend weakness. • Neutral Zone: OBV between bands reflects consolidation or indecision in the market. 🔶 EXAMPLES The chart demonstrates: • Bullish Momentum: OBV crosses above the upper band with a green line and fill, signaling robust accumulation. • Bearish Momentum: OBV drops below the lower band with a red line and fill, indicating distribution or selling pressure. • Reversal Points: Transitions of OBV from below the lower band to above the upper band (or vice versa) suggest potential trend shifts. Example Snapshots: • A sustained bullish phase where OBV remains above the upper band with consistent green coloring. • A bearish trend change where OBV falls below the upper band hinting at weakening momentum leading to a change in trend. 🔶 SETTINGS Customization Options: • Median Length (Default: 100): Adjusts the period for calculating the aggregate median, tailoring trend sensitivity. • Minimum Lookback Period (Default: 30): Sets the shortest period for median aggregation, refining responsiveness. • Standard Deviation Multiplier (Default: 1.0): Controls the width of the bands—higher values widen them, lower values tighten them. • Scaling Factor (Default: 100,000): Scales OBV for better chart readability, adjustable based on asset volume. The OBV Trend Bands indicator is a versatile tool for traders, blending volume analysis with statistical boundaries to effectively pinpoint market extremes and momentum shifts.
Pine Script™ indicator
by AlphaExtract
Mark Minervini Buy Signal# Mark Minervini Buy Signal Indicator This indicator implements Mark Minervini's "Stage 2 Uptrend" buy criteria from his SEPA (Specific Entry Point Analysis) methodology as described in his books "Trade Like a Stock Market Wizard" and "Think & Trade Like a Champion". The script identifies potential buy setups based on Minervini's technical criteria for stocks showing strong momentum characteristics. ## How It Works The indicator evaluates various technical conditions to identify stocks in a Stage 2 uptrend according to Minervini's methodology: 1. **Moving Average Alignment** - 150-day MA above 200-day MA (confirming overall uptrend) - 200-day MA trending up (compared to 20 days ago) - 50-day MA above both 150-day and 200-day MAs (showing recent strength) - Price above all major moving averages (50, 150, 200-day MAs) 2. **Price Relative to 52-Week Range** - Price at least 25% above 52-week low (showing strong recovery) - Price within 75-95% of 52-week high (room for further upside) 3. **Relative Strength** - Stock ranks in the top 30% based on 100-day price performance - This implements Minervini's emphasis on buying only strong performers 4. **Volume Criteria** - Volume above its 50-day moving average (showing increasing interest) ## How to Use This Indicator When all conditions are met, the indicator displays a green triangle below the price bar and colors the background green. These signals identify potential candidates for further analysis. According to Minervini's methodology, you should: 1. Use this as a screening tool to identify potential candidates 2. Perform additional chart analysis to identify specific entry points 3. Look for decreased volatility and proper bases or consolidation patterns 4. Consider broader market conditions and sector strength before entering ## Sources and Credit This indicator is based on Mark Minervini's trading methodology as outlined in: 1. Minervini, Mark. "Trade Like a Stock Market Wizard: How to Achieve Super Performance in Stocks in Any Market" (2013) 2. Minervini, Mark. "Think & Trade Like a Champion: The Secrets, Rules & Blunt Truths of a Stock Market Wizard" (2016) 3. Minervini, Mark. "Mindset Secrets for Winning: How to Bring Personal Power to Everything You Do" (2019) 4. Interviews and workshops where Minervini has described his SEPA methodology The specific criteria implemented are derived from Minervini's "Stage Analysis" framework, particularly focusing on Stage 2 uptrends which he considers optimal for buying opportunities. ## Disclaimer This indicator is provided for informational purposes only. It attempts to reproduce Minervini's published criteria but should be used as part of a complete trading strategy with proper risk management. Minervini's complete methodology includes additional subjective elements that cannot be fully automated.
Pine Script™ indicator
by Dr_Leong_Yee_Rock
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.
Pine Script™ indicator
by paradoxalgo
Rolling Multi-Day EMA + VR1 DEMABarRolling Multi-Day EMA + VR1 DEMABar Indicator This indicator combines rolling multi-day exponential moving averages (EMAs) with VR1 DEMABar logic to provide insights into price trends, volume dynamics, and potential reversal signals. Section 1: Rolling Multi-Day EMA Logic Purpose: Calculates EMAs based on a rolling trading day length, adapting to different timeframes and instrument types (Futures or Stocks). Trading Day Lengths: Adjusts dynamically based on the chart timeframe: 1-minute, 3-minute, 5-minute, and 15-minute charts have pre-defined lengths for a "trading day." Multi-day EMAs are calculated for Half-Day, 1-Day, 2-Day, 3-Day, 4-Day, and 5-Day periods. The EMAs are color-coded with a gradient from green to purple for clear trend visualization. Section 2: VR1 DEMABar Logic Purpose: Identifies high-volume price movements and engulfing patterns that may signal potential reversals. Volume-to-Range Ratio: Analyzes the ratio of volume to price range and applies two EMAs to detect significant activity. Threshold-Based Bar Coloring: Highlights bars above a threshold in yellow to emphasize high-volume anomalies. Engulfing Pattern Detection: Identifies bullish and bearish engulfing patterns, adjusting the background color: Green Background: Bullish engulfing pattern (potential upward reversal). Red Background: Bearish engulfing pattern (potential downward reversal). This indicator provides a blend of trend-following and volume-based anomaly detection, helping traders spot potential trend shifts and key volume-driven movements efficiently.
Pine Script™ indicator
by PrestigeWorldwideTradingCo
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.**
Pine Script™ indicator
by CoffeeKiller
6
LeapFWOG v2An indicator for those who frequently use VWAPs in their trading strategy. The idea here is to set it and forget it, since Anchored VWAPs are great but time consuming to plot on each asset you trade separately. Set the input date, and it will plot that Anchored VWAP on any asset automatically from the specified date. Based on the indicator by Flopping Groper (FG) - an absolute legend. FEATURES: * 5 Custom Anchored VWAPs - with input dates for the anchors, custom colors / labels * 3 rolling VWAPS for the Daily, Weekly and Monthly timeframes * Use them all or disable what you don't need - 1 stop shop for VWAP based strategies
Pine Script™ indicator
by levski26
WAVE(구름)시그널WAVE(구름) 시그널 - Volumatic VIDYA by BigBeluga 🔹 개요 WAVE(구름) 시그널은 변동성 기반의 VIDYA(Variable Index Dynamic Average) 지표를 활용하여 시장의 트렌드를 시각적으로 표현하는 맞춤형 인디케이터입니다. 변동성과 모멘텀을 고려한 스마트한 필터링을 통해 트렌드 반전, 지지/저항 레벨, 유동성 영역 등을 효과적으로 탐지할 수 있습니다. 🔹 기능 및 특징 ✅ VIDYA 기반 트렌드 분석: 시장의 모멘텀을 반영하여 지속적인 상승/하락 트렌드를 감지 ✅ 유동성 영역 시각화: 주요 지지/저항 구간을 표시하여 고액 거래 구역을 쉽게 식별 가능 ✅ ATR(평균 진폭) 기반 밴드: 변동성을 반영한 상단/하단 밴드를 활용해 트렌드 강도 분석 ✅ 트렌드 변화 감지: 상승/하락 전환 지점에 ▲▼ 마커를 배치하여 매매 타이밍 포착 ✅ 볼륨 기반 필터링: 거래량 변화를 감지하여 매매 신호의 신뢰도를 보완 🔹 활용 방법 📌 트렌드 매매: VIDYA 라인이 상승 전환 시 매수, 하락 전환 시 매도 시그널로 활용 📌 유동성 분석: 주요 저항/지지선에서 거래량 분포를 확인하여 진입 및 청산 전략 수립 📌 과매수/과매도 감지: ATR 기반 상/하단 밴드를 돌파하는 움직임을 통해 변동성 분석
Pine Script™ indicator
by WAVELABS