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Dual Keltner Channels Strategy [Eastgate3194]This strategy utilised 2 Keltner Channels to perform counter trade. The strategy have 2 steps: Long Position: Step 1. Close price must cross under Outer Lower band of Keltner Channel. Step 2. Close price cross over Inner Lower band of Keltner Channel. Short Position: Step 1. Close price must cross over Outer Upper band of Keltner Channel. Step 2. Close price cross under Inner Upper band of Keltner Channel.
Pine Script® Strategie
von eastgate3194
CRT Strategy at Support and ResistanceSupport and Resistance Detection: Detects support when the current low equals the 4-hour low and the previous low is higher. Detects resistance when the current high equals the 4-hour high and the previous high is lower. Horizontal Lines and Labels: Small horizontal lines are plotted at support and resistance levels using line.new. Labels ("S" for support and "R" for resistance) are added for better visibility. Buy/Sell Signals: Buy signals are generated at support levels. Sell signals are generated at resistance levels. Signals are marked on the chart using plotshape. Alerts: Optional alerts are added for buy and sell signals. You can enable these in TradingView to get notified when a signal is generated.
Pine Script® Indikator
von warrenokumu
Fib BB on VWMA*ATRThis TradingView Pine Script is designed to plot Fibonacci Bollinger Bands on a Volume Weighted Moving Average (VWMA) using the Average True Range (ATR). The script takes a higher timeframe (HTF) approach, allowing traders to analyze price action and volatility from a broader market perspective. 🔹 How It Works Higher Timeframe Data Integration Users can select a specific timeframe to calculate the VWMA and ATR. This allows for a more macro perspective, avoiding the noise of lower timeframes. Volume Weighted Moving Average (VWMA) Unlike the Simple Moving Average (SMA), VWMA gives higher weight to price movements with larger volume. Calculation Formula: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 Since VWMA accounts for volume, it is more reactive to price zones with high buying or selling activity, making it useful for identifying liquidity zones. ATR-Based Fibonacci Bollinger Bands The Average True Range (ATR) is used to measure market volatility. Instead of standard deviation-based Bollinger Bands, Fibonacci multipliers (2.618, 3.0, 3.414) are applied to ATR. These bands adjust dynamically with market volatility. 🔹 Key Findings from Exploration Through testing and analysis, this indicator seems to effectively detect supply and demand zones, particularly at the Fibonacci levels of 2.618 to 3.414. Price frequently reacts at these bands, indicating that they capture key liquidity zones. Potential Order Block Detection: The ends of the Fibonacci Bollinger Bands (especially at 2.618, 3.0, and 3.414) tend to align with order blocks—areas where institutional traders previously accumulated or distributed positions. This is particularly useful for order flow traders who focus on unfilled institutional orders. 🔹 How to Use This Indicator? Identifying Order Blocks When price reaches the upper or lower bands, check if there was a strong reaction (rejection or consolidation). If price rapidly moves away from a band, that level might be an order block. Spotting Liquidity Pools VWMA’s nature enhances liquidity detection since it emphasizes high-volume price action. If a price level repeatedly touches the band without breaking through, it suggests institutional orders may be absorbing liquidity there. Trend Confirmation If VWMA is trending upwards and price keeps rejecting the lower bands, it confirms a strong bullish trend. Conversely, constant rejection from the upper bands suggests a bearish market. This script is designed for open-source publication and offers traders a refined approach to detecting order blocks and liquidity zones using Fibonacci-based volatility bands. 📌 한글 설명 (상세 설명) 이 트레이딩뷰 파인스크립트는 거래량 가중 이동평균(VWMA)과 평균 실제 범위(ATR)를 활용하여 피보나치 볼린저 밴드를 표시하는 지표입니다. 또한, 고차 타임프레임(HTF) 데이터를 활용하여 시장의 큰 흐름을 분석할 수 있도록 설계되었습니다. 🔹 지표 작동 방식 고차 타임프레임(HTF) 데이터 적용 사용자가 원하는 타임프레임을 선택하여 VWMA와 ATR을 계산할 수 있습니다. 이를 통해 더 큰 시장 흐름을 분석할 수 있으며, 저타임프레임의 노이즈를 줄일 수 있습니다. 거래량 가중 이동평균(VWMA) 적용 VWMA는 단순 이동평균(SMA)보다 거래량이 많은 가격 움직임에 더 큰 가중치를 부여합니다. 계산 공식: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 ​ 거래량이 많이 발생한 가격 구간을 강조하는 특성이 있어, 시장의 유동성 구간을 더 정확히 포착할 수 있습니다. ATR 기반 피보나치 볼린저 밴드 생성 ATR(Average True Range)를 활용하여 변동성을 측정합니다. 기존의 표준편차 기반 볼린저 밴드 대신, 피보나치 계수(2.618, 3.0, 3.414)를 ATR에 곱하여 밴드를 생성합니다. 이 밴드는 시장 변동성에 따라 유동적으로 조정됩니다. 🔹 탐구 결과: 매물대 및 오더블록 감지 테스트를 통해 Fibonacci 2.618 ~ 3.414 구간에서 매물대 및 오더블록을 포착하는 경향이 있음을 확인했습니다. 가격이 피보나치 밴드(특히 2.618, 3.0, 3.414)에 닿을 때 반응하는 경우가 많음 VWMA의 특성을 통해 오더블록을 감지할 가능성이 높음 🔹 오더블록(Order Block) 감지 원리 Fibonacci 밴드 끄트머리(2.618 ~ 3.414)에서 가격이 강하게 반응 이 영역에서 가격이 강하게 튀어 오르거나(매수 압력) 급락하는(매도 압력) 경우, → 기관들이 포지션을 청산하거나 추가 매집하는 구간일 가능성이 큼. 과거에 대량 주문이 체결된 가격 구간(= 오더블록)일 수 있음. VWMA를 통한 유동성 감지 VWMA는 거래량이 집중된 가격을 기준으로 이동하기 때문에, 기관 주문이 많이 들어온 가격대를 강조하는 특징이 있음. 따라서 VWMA와 피보나치 밴드가 만나는 지점은 유동성이 높은 핵심 구간이 될 가능성이 큼. 매물대 및 청산 구간 분석 가격이 밴드에 도달했을 때 강한 반등이 나오는지를 확인 → 오더블록 가능성 가격이 밴드를 여러 번 테스트하면서 돌파하지 못한다면, 해당 지점은 강한 매물대일 가능성 🔹 활용 방법 ✅ 오더블록 감지: 가격이 밴드(2.618~3.414)에 닿고 강하게 튕긴다면, 오더블록 가능성 해당 지점에서 거래량 증가 및 강한 반등 발생 시 매수 고려 ✅ 유동성 풀 확인: VWMA와 피보나치 밴드가 만나는 구간에서 반복적으로 거래량이 터진다면, 해당 지점은 기관 유동성 구간일 가능성 ✅ 추세 확인: VWMA가 상승하고 가격이 밴드 하단(지지선)에서 튕긴다면 강한 상승 추세 VWMA가 하락하고 가격이 밴드 상단(저항선)에서 거부당하면 하락 추세 지속
Pine Script® Indikator
von kdhchgo
Custom EMA Color IndicatorCustom EMA Color Indicator Description This indicator plots an Exponential Moving Average (EMA) with a customizable length. The EMA line changes color dynamically based on the price position relative to it: Green: Price is above the EMA (bullish signal). Red: Price is below the EMA (bearish signal). Features ✅ Customizable EMA length ✅ Dynamic color change based on price position ✅ Helps identify trends at a glance How to Use Add the indicator to your TradingView chart. Adjust the EMA length as needed. Observe the color changes: Green → Uptrend (price above EMA) Red → Downtrend (price below EMA) Best Use Cases 🔹 Identifying trends quickly 🔹 Spotting potential entry and exit points 🔹 Combining with other indicators for confirmation Let me know if you need modifications! 🚀
Pine Script® Indikator
von sincoma94
Shelongacopystring COLOR_CANDLES_TOOLTIP = 'Display additional candles with a color reflecting the current trend detected by structure' string SHOW_INTERNAL = 'Display internal market structure' string CONFLUENCE_FILTER = 'Filter non significant internal structure breakouts' string SHOW_SWING = 'Display swing market Structure' string SHOW_SWING_POINTS = 'Display swing point as labels on the chart' string SHOW_SWHL_POINTS = 'Highlight most recent strong and weak high/low points on the chart' string INTERNAL_OB = 'Display internal order blocks on the chart Number of internal order blocks to display on the chart' string SWING_OB = 'Display swing order blocks on the chart Number of internal swing blocks to display on the chart' string FILTER_OB = 'Method used to filter out volatile order blocks It is recommended to use the cumulative mean range method when a low amount of data is available' string SHOW_EQHL = 'Display equal highs and equal lows on the chart' string EQHL_BARS = 'Number of bars used to confirm equal highs and equal lows' string EQHL_THRESHOLD = 'Sensitivity threshold in a range (0, 1) used for the detection of equal highs & lows Lower values will return fewer but more pertinent results' string SHOW_FVG = 'Display fair values gaps on the chart' string AUTO_FVG = 'Filter out non significant fair value gaps' string FVG_TF = 'Fair value gaps timeframe' string EXTEND_FVG = 'Determine how many bars to extend the Fair Value Gap boxes on chart' string PED_ZONES = 'Display premium, discount, and equilibrium zones on chart' //-----------------------------------------------------------------------------{ //Settings //-----------------------------------------------------------------------------{ //General //----------------------------------------{ mode = input.string('Historical' , options = , group = 'Smart Money Concepts' , tooltip = MODE_TOOLTIP) style1 = input.string('Colored' , options = , group = 'Smart Money Concepts' , tooltip = STYLE_TOOLTIP) show_trend = input(false, 'Color Candles' , group = 'Smart Money Concepts' , tooltip = COLOR_CANDLES_TOOLTIP) //----------------------------------------} //Internal Structure //----------------------------------------{ show_internals = input(false, 'Show Internal Structure' , group = 'Real Time Internal Structure' , tooltip = SHOW_INTERNAL) show_ibull = input.string('All', 'Bullish Structure' , options = , inline = 'ibull' , group = 'Real Time Internal Structure') swing_ibull_css = input(#eaefee, '' , inline = 'ibull' , group = 'Real Time Internal Structure') //Bear Structure show_ibear = input.string('All', 'Bearish Structure' , options = , inline = 'ibear' , group = 'Real Time Internal Structure') swing_ibear_css = input(#ffffff, '' , inline = 'ibear' , group = 'Real Time Internal Structure') ifilter_confluence = input(false, 'Confluence Filter' , group = 'Real Time Internal Structure' , tooltip = CONFLUENCE_FILTER) internal_structure_size = input.string('Tiny', 'Internal Label Size' , options = , group = 'Real Time Internal Structure') //----------------------------------------} //Swing Structure //----------------------------------------{ show_Structure = input(true, 'Show Swing Structure' , group = 'Real Time Swing Structure' , tooltip = SHOW_SWING) //Bull Structure show_bull = input.string('All', 'Bullish Structure' , options = , inline = 'bull' , group = 'Real Time Swing Structure') swing_bull_css = input(#ffffff, '' , inline = 'bull' , group = 'Real Time Swing Structure') //Bear Structure
Pine Script® Indikator
von Criptom4N
[NLR] - SweetSpot ZonesThe Sweet Spot Zone helps you find the best spots to enter a trade, inspired by the " Follow Line Indicator " by Dreadblitz (big thanks to him!). It draws a colored zone on your chart to show ideal entry points, with a Base Point to keep you on track. What It Does Blue Zone: Uptrend—buy when the price dips into the zone. Red Zone: Downtrend—sell or short when the price climbs into the zone. Base Point: A gray line showing the key level the zone is built on. How to Use It Look for the colored zone: - Blue: Buy if the price dips into the zone but stays above the Base Point. - Red: Sell/short if the price climbs into the zone but stays below the Base Point. Important: Avoid entering trade beyond base point - you might see low returns and face big drawdowns. Confirm with other signals (like RSI/MACD) before entering. Settings ATR Length (10): How far back it looks to calculate price movement. ATR Multiplier (2.5): How wide the zone is. Error Margin (5.0): Keeps the zone steady during small price wiggles. Uptrend/Downtrend Colors: Change the zone colors if you’d like! Credits Inspired by the "Follow Line Indicator" by Dreadblitz—check out his work for more great ideas!
Pine Script® Indikator
von NonLinearRookie
My script # Hash Ribbons with Buy Signal Forecast ## The Ultimate Bitcoin Mining Cycle Indicator This advanced indicator combines Capriole Investments' proven Hash Ribbons strategy with a predictive algorithm to forecast upcoming buy signals. Perfect for Bitcoin investors looking to capitalize on miner capitulation cycles. ### Key Features: - **Traditional Hash Ribbons Analysis**: Identifies miner capitulation, recovery periods, and the classic "blue dot" buy signals - **Predictive Buy Signal Forecast**: Uses machine learning-inspired pattern recognition to predict when the next buy signal will appear - **Customizable Settings**: Adjust forecast sensitivity, lookback periods, and probability thresholds to match your trading style - **Multiple Display Options**: View as ribbons or oscillator for different analytical perspectives - **Bitcoin Halving Markers**: Visual identification of halving events and their impact on hash rate cycles ### How It Works: The indicator tracks hash rate momentum and price action to identify historically profitable entry points following miner capitulation. The forecast algorithm analyzes convergence patterns between short/long hash rate averages and price MAs to predict high-probability buy signals before they occur. ### Perfect For: - Long-term Bitcoin investors seeking optimal entry points - Cycle analysts tracking miner behavior - Traders wanting advance notice of potential trend reversals - Anyone looking to understand Bitcoin's fundamental supply-side dynamics Based on Capriole Investments' research with enhanced prediction capabilities for proactive rather than reactive trading decisions.
Pine Script® Indikator
von CryptoBitFish
Dynamic Volume Profile Oscillator | AlphaAlgosDynamic Volume Profile Oscillator | AlphaAlgos Overview The Dynamic Volume Profile Oscillator is an advanced technical analysis tool that transforms traditional volume analysis into a responsive oscillator. By creating a dynamic volume profile and measuring price deviation from volume-weighted equilibrium levels, this indicator provides traders with powerful insights into market momentum and potential reversals. Key Features • Volume-weighted price deviation analysis • Adaptive midline that adjusts to changing market conditions • Beautiful gradient visualization with 10-level intensity zones • Fast and slow signal lines for trend confirmation • Mean reversion mode that identifies price extremes relative to volume • Fully customizable sensitivity and smoothing parameters Technical Components 1. Volume Profile Analysis The indicator builds a dynamic volume profile by: • Collecting recent price and volume data within a specified lookback period • Calculating a volume-weighted mean price (similar to VWAP) • Measuring how far current price has deviated from this weighted average • Adjusting this deviation based on historical volatility 2. Oscillator Calculation The oscillator offers two calculation methods: • Mean Reversion Mode (default): Measures deviation from volume-weighted mean price, normalized to reflect potential overbought/oversold conditions • Standard Mode : Normalizes volume activity to identify unusual volume patterns 3. Adaptive Zones The indicator features dynamic zones that: • Center around an adaptive midline that reflects the average oscillator value • Expand and contract based on recent volatility (standard deviation) • Visually represent intensity through multi-level gradient coloring • Provide clear visualization of bullish/bearish extremes 4. Signal Generation Trading signals are generated through: • Main oscillator line position relative to the adaptive midline • Crossovers between fast (5-period) and slow (15-period) signal lines • Color changes that instantly identify trend direction • Distance from the midline indicating trend strength Configuration Options Volume Analysis Settings: • Price Source - Select which price data to analyze • Volume Source - Define volume data source • Lookback Period - Number of bars for main calculations • Profile Calculation Periods - Frequency of profile recalculation Oscillator Settings: • Smoothing Length - Controls oscillator smoothness • Sensitivity - Adjusts responsiveness to price/volume changes • Mean Reversion Mode - Toggles calculation methodology Threshold Settings: • Adaptive Midline - Uses dynamic midline based on historical values • Midline Period - Lookback period for midline calculation • Zone Width Multiplier - Controls width of bullish/bearish zones Display Settings: • Color Bars - Option to color price bars based on trend direction Trading Strategies Trend Following: • Enter long positions when the oscillator crosses above the adaptive midline • Enter short positions when the oscillator crosses below the adaptive midline • Use signal line crossovers for entry timing • Monitor gradient intensity to gauge trend strength Mean Reversion Trading: • Look for oscillator extremes shown by intense gradient colors • Prepare for potential reversals when the oscillator reaches upper/lower zones • Use divergences between price and oscillator for confirmation • Consider scaling positions based on gradient intensity Volume Analysis: • Use Standard Mode to identify unusual volume patterns • Confirm breakouts when accompanied by strong oscillator readings • Watch for divergences between price and volume-based readings • Use extended periods in extreme zones as trend confirmation Best Practices • Adjust sensitivity based on the asset's typical volatility • Use longer smoothing for swing trading, shorter for day trading • Combine with support/resistance levels for optimal entry/exit points • Consider multiple timeframe analysis for comprehensive market view • Test different profile calculation periods to match your trading style This indicator is provided for informational purposes only. Always use proper risk management when trading based on any technical indicator. Not financial advise.
Pine Script® Indikator
von AlphaNatt
4
Dynamic CAGR LineIndicator: Dynamic CAGR Line Overview This Pine Script (version 6) creates a custom indicator called "Dynamic CAGR Moving Line," designed to calculate and display the Compound Annual Growth Rate (CAGR) in percentage terms for a financial instrument, such as a stock or cryptocurrency, based on a user-defined lookback period (default: 5 years). Unlike traditional overlays that plot directly on the price chart, this indicator appears in a separate pane below the chart, providing a clear visual of how the CAGR evolves over time with each new candle. Purpose The indicator helps traders and investors analyze the annualized growth rate of an asset’s price over a specified historical period. By plotting the CAGR as a percentage in a separate pane, users can easily track how the growth rate changes as new price data is added, offering insights into long-term performance trends without cluttering the price chart. How It Works User Input: The script begins with an input parameter, lookback_years, allowing users to define the number of years (e.g., 5) to look back for the CAGR calculation. This is a floating-point value with a minimum of 1 and a step of 0.5, adjustable via the indicator’s settings in TradingView. Timeframe Conversion: Assuming a daily chart, the script converts the lookback years into a number of bars using bars_per_year = 252 (the average number of trading days in a year). The total lookback period in bars is calculated as lookback_bars = math.round(lookback_years * bars_per_year). For example, 5 years equals approximately 1260 bars. Price Data: For each candle, the start_price is fetched from the closing price lookback_bars ago (e.g., the close price from 5 years prior), using close . The end_price is the current candle’s closing price, accessed via close. CAGR Calculation: The total return is computed as (end_price - start_price) / start_price, measuring the percentage change from the start price to the current price. To avoid division-by-zero errors, a conditional check ensures start_price != 0; if it is, the return defaults to 0. The CAGR is then calculated using the formula: math.pow(1 + total_return, 1 / lookback_years) - 1, which annualizes the total return over the lookback period. The result is converted to a percentage by multiplying by 100 (cagr_percent = cagr * 100). Plotting: The CAGR percentage is plotted as a blue line in a separate pane using plot(). The line only appears after enough data exists (bar_index >= lookback_bars), otherwise it plots na (not available). A label is added for each candle, displaying the current CAGR percentage (e.g., "CAGR: 5.23%") near the plotted value, styled with a blue background and white text. Usage Chart Setup: Apply the indicator to a daily chart with sufficient historical data (e.g., more than 5 years for the default setting). It’s designed for daily timeframes but can be adapted for others by adjusting bars_per_year (e.g., 52 for weekly). Interpretation: A positive CAGR (e.g., 5%) indicates annualized growth, while a negative value (e.g., -2%) shows an annualized decline. A flat line at 0% suggests no net change over the lookback period. Customization: Adjust lookback_years in the settings to analyze different periods (e.g., 3 or 10 years). Notes Ensure your chart has enough data to cover the lookback period, or the line won’t appear until sufficient bars are available. For debugging, you can temporarily plot start_price and end_price on the main chart to verify the calculation inputs.
Pine Script® Indikator
von Joy_Mukherjee
Triple SRSI-MFI Ⅲ - Multi TimeframeTriple SRSI-MFI Ⅲ - Multi Timeframe Indicator Description The Triple SRSI-MFI Ⅲ - Multi Timeframe indicator is a powerful tool designed to combine Stochastic RSI (SRSI) and Money Flow Index (MFI) across multiple timeframes (higher, current, and lower). It provides a comprehensive view of market momentum and potential overbought/oversold conditions by calculating a weighted hybrid of SRSI-MFI values from three different timeframes. The indicator also integrates Bollinger Bands to help identify trend direction and volatility. This indicator is ideal for traders who want to analyze market conditions across multiple timeframes without switching charts. It automatically adjusts settings based on the current timeframe and includes a dynamic weighting system optimized for Bitcoin volatility. Additionally, a real-time information panel displays the market state (buy/sell) and signal strength. Key Features Multi-Timeframe Analysis: Combines SRSI-MFI from higher, current, and lower timeframes for a holistic view. Dynamic Weighting: Automatically adjusts weights for each timeframe based on Bitcoin volatility, with an option for manual customization. Bollinger Bands Integration: Visualizes trend direction and volatility using Bollinger Bands, with customizable source selection. Real-Time Info Panel: Displays market state (buy/sell) and signal strength (%) in the top-right corner of the chart. Customizable Settings: Allows users to tweak MFI source, Bollinger Bands parameters, and visibility of individual components. How to Use Add to Chart: Add the "Triple SRSI-MFI Ⅲ - Multi Timeframe" indicator to your chart. Interpret Signals: Market State (Buy/Sell): Shown in the info panel. "Buy" when the average SRSI-MFI is above the Bollinger Bands basis, "Sell" when below. Strength (%): The relative position of the average SRSI-MFI within the Bollinger Bands, scaled from 0% to 100%. Overbought/Oversold Levels: The indicator plots horizontal lines at 80 (overbought) and 20 (oversold). Use these as potential reversal zones. Combine with Price Action: Use the indicator in conjunction with price action or other tools for better decision-making. Adjust Settings: Customize the settings (e.g., Bollinger Bands length, weights, visibility) to match your trading style. Settings MFI Source: Select the source for MFI calculation (default: "hlc3"). Options include "close", "open", "high", "low", "hl2", "hlc3", "ohlc4". Bollinger Bands: Length: Period for Bollinger Bands calculation (default: 20). Multiplier: Standard deviation multiplier for the bands (default: 2.0). Source: Choose which SRSI-MFI value to use for Bollinger Bands ("averageHybrid", "hybrid_higher", "hybrid_current", "hybrid_lower"; default: "hybrid_higher"). Weights: Auto Weight Enabled: Enable/disable automatic weights based on Bitcoin volatility (default: true). Higher/Current/Lower Weights: Manually set weights for each timeframe if auto-weight is disabled (defaults: 1.5, 1.0, 0.5). Indicator On/Off: Toggle visibility for Higher SRSI-MFI, Current SRSI-MFI, Lower SRSI-MFI, Average SRSI-MFI, and Bollinger Bands. How It Works SRSI-MFI Calculation: Stochastic RSI (SRSI) and Money Flow Index (MFI) are calculated for three timeframes: higher, current, and lower. The hybrid value (SRSI * (MFI / 100)) is computed for each timeframe. Weighted Average: The hybrid values are combined into a weighted average (averageHybrid) using dynamic or manual weights. Bollinger Bands: Bollinger Bands are applied to the selected source (e.g., hybrid_higher) to identify trend direction and volatility. Relative Position: The position of averageHybrid within the Bollinger Bands is scaled to a percentage (0% to 100%) for strength assessment. Visualization: Plots individual SRSI-MFI lines, Bollinger Bands, and overbought/oversold levels. A real-time info panel provides market state and signal strength. Notes This indicator is best used as part of a broader trading strategy. It is not a standalone signal generator and should be combined with other forms of analysis. The automatic weights are optimized for Bitcoin (BTC) volatility. For other assets, you may need to adjust the weights manually. The indicator may require sufficient historical data to calculate higher and lower timeframe values accurately.
Pine Script® Indikator
von illbecmo