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KK_Average Directional Index (ADX) Higher TFHey guys, sometimes you just want to plot an Indicator value from a higher Timeframe on your Chart. For most Indicators this is pretty straightforward however there is one Indicator that has been giving me quite a headache while trying to do this: The Average Directional Index . Anyway after going through almost 200 versions of this script I finally found a solution that works and thought I would share this with you, since I'm sure some of you have encountered the same problem. How it works Go to your desired Instrument/Timeframe and add the Script Under Settings in the field for "Higher ADX TF" put the Timeframe-code you want to pull the ADX Values from. - Codes: Monthly - M, Weekly W, Daily - D - Codes Intraday: The amount of hours in minutes, e.g. if you want to pull values from the 4h-Chart the code is 240 (60 for 1h, 15 for 15m ...) In some cases (see below) the calculation might not be correct. So make sure the values are correct: a) Write down the latest ADX of the higher TF while you are on the lower TF b) Switch the Resolution to the higher TF c) Compare the value you have just written down to the next to last value. They should be the same. d) Switch back the Resolution to the lower TF and you're good to go. Limitations You can only pull values from higher Timeframes, e.g. you're on a 4h Chart, so you can only pull values from the Daily, Weekly and Monthly Chart. You can't pull values from the 1h Chart. You can only pull values from Timeframes, where the higher Timeframe Close always has a corresponding Close on the lower Timeframe, e.g. you can't pull values from the 3h Chart when you are on a 2h Chart. This should be pretty rare. The Script needs a certain amount of Data from the Higher TF before the calculated values are correct. I have tested this on several Instruments and the Script usually needs approximately 100 Bars on the higher Timeframe (often less) for the values to be correct (error < 1%). So when the difference between your lower Timeframe and you higher Timeframe is large, e.g. you want to pull the Daily ADX value on a 15m-Chart, the calculation can be wrong. This can lead to errors in 2 Cases: a) Backtesting: When you go over old data and get close to the last available Bar the Data will be wrong. This will limit the amount of data you can backtest. b) Live values: When the difference between the two Timeframes is too large, it is possible that even live values are wrong, e.g. this will be the case when you are trying to pull the Daily ADX value on a 5 minute Chart. Always check if the calculation works with your desired combination of Timeframes before using it (see above). I hope this is useful for you and whish all of you successful trading! Best regards Kurbelklaus
Penunjuk Pine Script®
oleh Kurbelklaus
2
Range Delta Heiken Ashi Bollinger|Buy/Sell |OB & OS CandlesPurpose: Mathematically represent buying and selling zones for Daily/ Weekly Traders Indicator: Calculates moving average of the candle's body with respect to the daily trading range Buy and Sell Signals: Calculates Bollinger Range with Max/Min and Buy/Sell Bollinger signals Overbought and Oversold Signals: Candlesticks show overbought and oversold conditions Level of Difficulty: This indicator was written to make life easier. Follow the Rules and anyone can use it. Rule 1: Buy when candlestick is below "purple" line Rule 2: Sell when candlestick is above "blue" line Rule 3: Add bollinger bands to your currency chart Rule 4: Confirm indicator bollinger bands with currency chart's bollinger bands Rule 5: Trade in direction of trend Rule 6: As with all trading; no indicators are fool proof. Please trade responsibly. ****Full Customization for you**** Suggestion 1: Add bollinger bands to currency chart to improve probability Suggestion 2: Trade the direction of Trend Suggestion 3: This indicator works very well with Ranged Markets (or use Suggestion 2) Disclaimer 1: This Indicator words best on Daily and Weekly time frames Disclaimer 2: Enjoy the Indicator and feel free to ADD COMMENTS; I worked very hard for you and me :)
Penunjuk Pine Script®
oleh TheBulltrader
23
Auto Pivots with S/R LevelsPlots out the pivot point with corresponding Support / Resistance levels. It will automatically determine the time frame to calculate pivots based on the current view resolution. Monthly resolution will pull a yearly pivot Weekly resolution will pull a monthly pivot Daily view will pull a weekly pivot Intraday view will pull a daily pivot. You have the choice of using Standard pivots or Fibonacci pivots You can choose to only display the most recent pivot or all pivots You can chose to extend the most recent pivot across the whole chart as a price line TODO: - Add in the ability to choose how far back historically to display pivots - Add in calculations for smaller resolutions to calculate off lower time frames. EX: minute resolution should pull hour time frame to calculate pivots.
Penunjuk Pine Script®
oleh jasondhadley
10
Herrick Payoff Index for Quandl DataUpdate to my previous Herrick Payoff Index script. This script pulls Quandl futures data with daily open interest. The prior version only used the weekly Commitment of Traders open interest data so could only be used on weekly bars. Note: Must use Quandl Symbol methodology in chart (i.e. enter symbol as QUANDL:CHRIS/CME_FC2, QUANDL:CME/FCX2016, ect.). Unfortunately, I haven't been able to program this to pull from the embedded futures data.
Penunjuk Pine Script®
oleh shardison
1
UCS_S_Stochastic Pop and Drop StrategyMy Contribution to Jake Bernstein Educational Series, Initiated by Chris Moody. The Stochastic Pop was developed by Jake Bernstein and modified by David Steckler. Bernstein's original Stochastic Pop is a trading strategy that identifies price pops when the Stochastic Oscillator surges above 80. Steckler modified this strategy by adding conditional filters using the Average Directional Index (ADX) and the weekly Stochastic Oscillator. Modifications 1. Weekly Stochastic Oscillator for Trading Bias = 5* Daily Stochastic 2. Optional Volume Confirmation, Custom Average Volume Length Future Plans 1. Adding Triggers for Entry, Stops and Target. - This will be release when we have ability to code the complete Strategy. Although it can be done with the current pinescript options, it would be far more easier if we have strategy ability. Link for Educational Purpose stockcharts.com - Good Luck Trading UCSgears
Penunjuk Pine Script®
oleh UDAY_C_Santhakumar
6
Porsched Indicator🔧 Core Components: 1. Moving Averages with Clouds EMA 25, 50, 75, and 150 with standard deviation bands Visual clouds representing volatility around each EMA Customizable colors for each average and its cloud 2. Dual Hull Bands Two separate Hull bands with different periods (20 and 110) Multiple variations: HMA, THMA, EHMA Colored filling between Hull lines Option to use higher timeframes for multi-timeframe analysis 3. Swing High/Low Detector Identifies significant price reversal points Configurable swing strength (default: 5 bars) Solid lines for current swings and dotted for past ones Alerts when swing levels are broken 4. Volume Analysis (PVSRA) Vector Candles that change color based on volume: Red/Green: Volume ≥ 200% of average or highest spread×volume Blue/Violet: Volume ≥ 150% of average Gray: Normal conditions Vector Candle Zones (VCZ): Key areas based on volume candles 5. Daily & Weekly Levels Previous day's high and low Previous week's high and low Stepline display with optional labels 6. UT Bot - Trailing Stop Dynamic ATR-based stop loss Bar coloring based on trend direction Adjustable sensitivity via "Key Value" 7. Session Detector Identifies session highs/lows (Sydney, Asia, Europe, etc.) Visual boxes marking each trading session ⚙️ Customization Features: Individual color schemes for all elements Adjustable line thickness Custom transparency settings Flexible calculation periods Multiple timeframe options 🎯 Trading Applications: Trend Identification (EMAs + Hull) Entry/Exit Points (Swings + Volume) Risk Management (Trailing Stop) Support/Resistance (VCZ + Highs/Lows) Market Timing (Sessions + Volume) 💡 Key Benefits: All-in-One Solution: Eliminates indicator clutter Multi-Timeframe Analysis: Built-in higher timeframe data Visual Clarity: Clean, organized display with color coding Customizable Alerts: Swing break and trend change notifications Professional Grade: Institutional-level volume analysis This indicator is designed for traders who want a comprehensive market analysis tool without the complexity of managing multiple separate indicators, providing holistic market insight through different technical perspectives.
Penunjuk Pine Script®
oleh OctopusTrader2830
💸 Monetary Momentum Oscillator (MMO)Monetary Momentum Oscillator (MMO) The Monetary Momentum Oscillator (MMO) measures the rate of change in the money supply (like M2, Fed Balance Sheet, or similar macro series) and applies a momentum-based RSI calculation to visualize liquidity acceleration and deceleration. 💡 Purpose: MMO is designed for macro-level analysis — it identifies when monetary expansion is overheating (potential inflation or risk-on conditions) and when contraction is cooling off (liquidity tightening or deflationary stress). 📊 How It Works: Calculates the percentage change of the selected data source over a chosen lookback period. Applies an RSI transformation to visualize momentum extremes. Overlays signal smoothing and highlights overheat/cooldown zones. 🔍 Interpretation: Above 70 → Liquidity acceleration / overheating (potential inflationary impulse). Below 30 → Liquidity deceleration / contraction (risk-off, tightening). Crossovers → Momentum shifts that often precede macro trend reversals in risk assets. ⚙️ Best Used On: Macroeconomic series such as M2SL, M2V, WALCL, or custom liquidity indexes. Long-term charts (weekly or monthly) for detecting major monetary regime transitions. 🧩 Core Idea: Liquidity is the real market engine — this oscillator quantifies its pulse.
Penunjuk Pine Script®
oleh LoneWolfDI
ATR Adaptive (auto timeframe)This indicator automatically adjusts the Average True Range (ATR) period based on the current chart timeframe, helping traders define dynamic Stop Loss (SL) and Take Profit (TP) levels that adapt to market volatility. The ATR measures the average range of price movement over a defined number of bars. By using adaptive periods, the indicator ensures that volatility is interpreted consistently across different timeframes — from 1-minute charts to daily or weekly charts. It plots two main levels on the chart: 🔴 Low – ATR × Multiplier → Suggested Stop Loss (below the candle’s low) 🟢 High + ATR × Multiplier → Suggested Take Profit or trailing level (above the candle’s high) Optional additional lines show ATR-based TP levels calculated from the current close. 💡 How to use Select your desired ATR multiplier (e.g., 1.3× for SL, 1.0× for TP). The script automatically detects the chart timeframe and uses an appropriate ATR length (e.g., ATR(30) on M5, ATR(21) on H1, ATR(14) on Daily). Use the plotted levels to: Set Stop Loss just below the red ATR band (for long trades). Set Take Profit near or slightly below the green ATR band (for short trades, reverse logic). ⚙️ Why it helps Maintains consistent volatility-based risk across multiple timeframes. Avoids arbitrary fixed SL/TP values. Makes the trading strategy more responsive in high-volatility markets and more conservative when volatility contracts. Particularly useful for intraday and swing trading, where volatility varies significantly between sessions.
Penunjuk Pine Script®
oleh gianpilot
Advanced Speedometer Gauge [PhenLabs]Advanced Speedometer Gauge Version: PineScript™v6 📌 Description The Advanced Speedometer Gauge is a revolutionary multi-metric visualization tool that consolidates 13 distinct trading indicators into a single, intuitive speedometer display. Instead of cluttering your workspace with multiple oscillators and panels, this gauge provides a unified interface where you can switch between different metrics while maintaining consistent visual interpretation. Built on PineScript™ v6, the indicator transforms complex technical calculations into an easy-to-read semi-circular gauge with color-coded zones and a precision needle indicator. Each of the 13 available metrics has been carefully normalized to a 0-100 scale, ensuring that whether you’re analyzing RSI, volume trends, or volatility extremes, the visual interpretation remains consistent and intuitive. The gauge is designed for traders who value efficiency and clarity. By consolidating multiple analytical perspectives into one compact display, you can quickly assess market conditions without the visual noise of traditional multi-indicator setups. All metrics are non-overlapping, meaning each provides unique insights into different aspects of market behavior. 🚀 Points of Innovation 13 selectable metrics covering momentum, volume, volatility, trend, and statistical analysis, all accessible through a single dropdown menu Universal 0-100 normalization system that standardizes different indicator scales for consistent visual interpretation across all metrics Semi-circular gauge design with 21 arc segments providing smooth precision and clear visual feedback through color-coded zones Non-redundant metric selection ensuring each indicator provides unique market insights without analytical overlap Advanced metrics including MFI (volume-weighted momentum), CCI (statistical deviation), Volatility Rank (extended lookback), Trend Strength (ADX-style), Choppiness Index, Volume Trend, and Price Distance from MA Flexible positioning system with 5 chart locations, 3 size options, and fully customizable color schemes for optimal workspace integration 🔧 Core Components Metric Selection Engine: Dropdown interface allowing instant switching between 13 different technical indicators, each with independent parameter controls Normalization System: All metrics converted to 0-100 scale using indicator-specific algorithms that preserve the statistical significance of each measurement Semi-Circular Gauge: Visual display using 21 arc segments arranged in curved formation with two-row thickness for enhanced visibility Color Zone System: Three distinct zones (0-40 green, 40-70 yellow, 70-100 red) providing instant visual feedback on metric extremes Needle Indicator: Dynamic pointer that positions across the gauge arc based on precise current metric value Table Implementation: Professional table structure ensuring consistent positioning and rendering across different chart configurations 🔥 Key Features RSI (Relative Strength Index): Classic momentum oscillator measuring overbought/oversold conditions with adjustable period length (default 14) Stochastic Oscillator: Compares closing price to price range over specified period with smoothing, ideal for identifying momentum shifts MFI (Money Flow Index): Volume-weighted RSI that combines price movement with volume to measure buying and selling pressure intensity CCI (Commodity Channel Index): Measures statistical deviation from average price, normalized from typical -200 to +200 range to 0-100 scale Williams %R: Alternative overbought/oversold indicator using high-low range analysis, inverted to match 0-100 scale conventions Volume %: Current volume relative to moving average expressed as percentage, capped at 100 for extreme spikes Volume Trend: Cumulative directional volume flow showing whether volume is flowing into up moves or down moves over specified period ATR Percentile: Current Average True Range position within historical range using specified lookback period (default 100 bars) Volatility Rank: Close-to-close volatility measured against extended historical range (default 252 days), differs from ATR in calculation method Momentum: Rate of change calculation showing price movement speed, centered at 50 and normalized to 0-100 range Trend Strength: ADX-style calculation using directional movement to quantify trend intensity regardless of direction Choppiness Index: Measures market choppiness versus trending behavior, where high values indicate ranging markets and low values indicate strong trends Price Distance from MA: Measures current price over-extension from moving average using standard deviation calculations 🎨 Visualization Semi-Circular Arc Display: Curved gauge spanning from 0 (left) to 100 (right) with smooth progression and two-row thickness for visibility Color-Coded Zones: Green zone (0-40) for low/oversold conditions, yellow zone (40-70) for neutral readings, red zone (70-100) for high/overbought conditions Needle Indicator: Downward-pointing triangle (▼) positioned precisely at current metric value along the gauge arc Scale Markers: Vertical line markers at 0, 25, 50, 75, and 100 positions with corresponding numerical labels below Title Display: Merged cell showing “𓄀 PhenLabs” branding plus currently selected metric name in monospace font Large Value Display: Current metric value shown with two decimal precision in large text directly below title Table Structure: Professional table with customizable background color, text color, and transparency for minimal chart obstruction 📖 Usage Guidelines Metric Selection Select Metric: Default: RSI | Options: RSI, Stochastic, Volume %, ATR Percentile, Momentum, MFI (Money Flow), CCI (Commodity Channel), Williams %R, Volatility Rank, Trend Strength, Choppiness Index, Volume Trend, Price Distance | Choose the technical indicator you want to display on the gauge based on your current analytical needs RSI Settings RSI Length: Default: 14 | Range: 1+ | Controls the lookback period for RSI calculation, shorter periods increase sensitivity to recent price changes Stochastic Settings Stochastic Length: Default: 14 | Range: 1+ | Lookback period for stochastic calculation comparing close to high-low range Stochastic Smooth: Default: 3 | Range: 1+ | Smoothing period applied to raw stochastic value to reduce noise and false signals Volume Settings Volume MA Length: Default: 20 | Range: 1+ | Moving average period used to calculate average volume for comparison with current volume Volume Trend Length: Default: 20 | Range: 5+ | Period for calculating cumulative directional volume flow trend ATR and Volatility Settings ATR Length: Default: 14 | Range: 1+ | Period for Average True Range calculation used in ATR Percentile metric ATR Percentile Lookback: Default: 100 | Range: 20+ | Historical range used to determine current ATR position as percentile Volatility Rank Lookback (Days): Default: 252 | Range: 50+ | Extended lookback period for Volatility Rank metric using close-to-close volatility Momentum and Trend Settings Momentum Length: Default: 10 | Range: 1+ | Lookback period for rate of change calculation in Momentum metric Trend Strength Length: Default: 20 | Range: 5+ | Period for directional movement calculations in ADX-style Trend Strength metric Advanced Metric Settings MFI Length: Default: 14 | Range: 1+ | Lookback period for Money Flow Index calculation combining price and volume CCI Length: Default: 20 | Range: 1+ | Period for Commodity Channel Index statistical deviation calculation Williams %R Length: Default: 14 | Range: 1+ | Lookback period for Williams %R high-low range analysis Choppiness Index Length: Default: 14 | Range: 5+ | Period for calculating market choppiness versus trending behavior Price Distance MA Length: Default: 50 | Range: 10+ | Moving average period used for Price Distance standard deviation calculation Visual Customization Position: Default: Top Right | Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Right | Controls gauge placement on chart for optimal workspace organization Size: Default: Normal | Options: Small, Normal, Large | Adjusts overall gauge dimensions and text size for different monitor resolutions and preferences Low Zone Color (0-40): Default: Green (#00FF00) | Customize color for low/oversold zone of gauge arc Medium Zone Color (40-70): Default: Yellow (#FFFF00) | Customize color for neutral/medium zone of gauge arc High Zone Color (70-100): Default: Red (#FF0000) | Customize color for high/overbought zone of gauge arc Background Color: Default: Semi-transparent dark gray | Customize gauge background for contrast and chart integration Text Color: Default: White (#FFFFFF) | Customize all text elements including title, value, and scale labels ✅ Best Use Cases Quick visual assessment of market conditions when you need instant feedback on whether an asset is in extreme territory across multiple analytical dimensions Workspace organization for traders who monitor multiple indicators but want to reduce chart clutter and visual complexity Metric comparison by switching between different indicators while maintaining consistent visual interpretation through the 0-100 normalization Overbought/oversold identification using RSI, Stochastic, Williams %R, or MFI depending on whether you prefer price-only or volume-weighted analysis Volume analysis through Volume %, Volume Trend, or MFI to confirm price movements with corresponding volume characteristics Volatility monitoring using ATR Percentile or Volatility Rank to identify expansion/contraction cycles and adjust position sizing Trend vs range identification by comparing Trend Strength (high values = trending) against Choppiness Index (high values = ranging) Statistical over-extension detection using CCI or Price Distance to identify when price has deviated significantly from normal behavior Multi-timeframe analysis by duplicating the gauge on different timeframe charts to compare metric readings across time horizons Educational purposes for new traders learning to interpret technical indicators through consistent visual representation ⚠️ Limitations The gauge displays only one metric at a time, requiring manual switching to compare different indicators rather than simultaneous multi-metric viewing The 0-100 normalization, while providing consistency, may obscure the raw values and specific nuances of each underlying indicator Table-based visualization cannot be exported or saved as an image separately from the full chart screenshot Optimal parameter settings vary by asset type, timeframe, and market conditions, requiring user experimentation for best results 💡 What Makes This Unique Unified Multi-Metric Interface: The only gauge-style indicator offering 13 distinct metrics through a single interface, eliminating the need for multiple oscillator panels Non-Overlapping Analytics: Each metric provides genuinely unique insights—MFI combines volume with price, CCI measures statistical deviation, Volatility Rank uses extended lookback, Trend Strength quantifies directional movement, and Choppiness Index measures ranging behavior Universal Normalization System: All metrics standardized to 0-100 scale using indicator-appropriate algorithms that preserve statistical meaning while enabling consistent visual interpretation Professional Visual Design: Semi-circular gauge with 21 arc segments, precision needle positioning, color-coded zones, and clean table implementation that maintains clarity across all chart configurations Extensive Customization: Independent parameter controls for each metric, five position options, three size presets, and full color customization for seamless workspace integration 🔬 How It Works 1. Metric Calculation Phase: All 13 metrics are calculated simultaneously on every bar using their respective algorithms with user-defined parameters Each metric applies its own specific calculation method—RSI uses average gains vs losses, Stochastic compares close to high-low range, MFI incorporates typical price and volume, CCI measures deviation from statistical mean, ATR calculates true range, directional indicators measure up/down movement, and statistical metrics analyze price relationships 2. Normalization Process: Each calculated metric is converted to a standardized 0-100 scale using indicator-appropriate transformations Some metrics are naturally 0-100 (RSI, Stochastic, MFI, Williams %R), while others require scaling—CCI transforms from ±200 range, Momentum centers around 50, Volume ratio caps at 2x for 100, ATR and Volatility Rank calculate percentile positions, and Price Distance scales by standard deviations 3. Gauge Rendering: The selected metric’s normalized value determines the needle position across 21 arc segments spanning 0-100 Each arc segment receives its color based on position—segments 0-8 are green zone, segments 9-14 are yellow zone, segments 15-20 are red zone The needle indicator (▼) appears in row 5 at the column corresponding to the current metric value, providing precise visual feedback 4. Table Construction: The gauge uses TradingView’s table system with merged cells for title and value display, ensuring consistent positioning regardless of chart configuration Rows are allocated as follows: Row 0 merged for title, Row 1 merged for large value display, Row 2 for spacing, Rows 3-4 for the semi-circular arc with curved shaping, Row 5 for needle indicator, Row 6 for scale markers, Row 7 for numerical labels at 0/25/50/75/100 All visual elements update on every bar when barstate.islast is true, ensuring real-time accuracy without performance impact 💡 Note: This indicator is designed for visual analysis and market condition assessment, not as a standalone trading system. For best results, combine gauge readings with price action analysis, support and resistance levels, and broader market context. Parameter optimization is recommended based on your specific trading timeframe and asset class. The gauge works on all timeframes but may require different parameter settings for intraday versus daily/weekly analysis. Consider using multiple instances of the gauge set to different metrics for comprehensive market analysis without switching between settings.
Penunjuk Pine Script®
oleh PhenLabs
Candle body break (M_WD4H1H)v5Overview This indicator is a multi-timeframe (MTF) analysis tool specialized in detecting candle body breaks. It overlays the break levels for five timeframes: monthly (M), weekly (W), daily (D), 4-hourly (4H), and 1-hourly (1H) on the current chart. Major Features Feature Description Five timeframes: M/W/D/4H/1H. Data for each timeframe is retrieved and calculated using the request.security() function. Break Detection Logic: A "body break" is defined as when the closing price of the current candlestick exceeds or falls below the body high/low of the previous opposite candlestick. Confirmed Break Line: A solid line extending from the point of the break to the right edge of the chart indicates the price level at which a previous body break occurred. Upward breaks are drawn in blue, and downward breaks are drawn in red. Candidate Break Lines: Green dotted lines indicate the (unbroken) body high and low levels that are the next target for a break. Summary Table: A list of the most recent break direction (upward ⇧ / downward ⇩ / none "") for each time frame (M/W/D/4H/1H) is displayed in the upper right corner of the chart. Display Time Frame Limit: Depending on user settings, the break line itself will only be displayed for the chart's time frame or higher. Candidate lines can also be displayed only for the current chart's time frame. Alert Function: An alert will be issued when a body break occurs on the 1-hour (1H) time frame. Scale Settings: The entire indicator is fixed to the price scale on the right.
Penunjuk Pine Script®
oleh hmp5below
1
Cumulative Volume Delta Z Score [BackQuant]Cumulative Volume Delta Z Score The Cumulative Volume Delta Z Score indicator is a sophisticated tool that combines the cumulative volume delta (CVD) with Z-Score normalization to provide traders with a clearer view of market dynamics. By analyzing volume imbalances and standardizing them through a Z-Score, this tool helps identify significant price movements and market trends while filtering out noise. Core Concept of Cumulative Volume Delta (CVD) Cumulative Volume Delta (CVD) is a popular indicator that tracks the net difference between buying and selling volume over time. CVD helps traders understand whether buying or selling pressure is dominating the market. Positive CVD signals buying pressure, while negative CVD indicates selling pressure. The addition of Z-Score normalization to CVD makes it easier to evaluate whether current volume imbalances are unusual compared to past behavior. Z-Score helps in detecting extreme conditions by showing how far the current CVD is from its historical mean in terms of standard deviations. Key Features Cumulative Volume Delta (CVD): Tracks the net buying vs. selling volume, allowing traders to gauge the overall market sentiment. Z-Score Normalization: Converts CVD into a standardized value to highlight extreme movements in volume that are statistically significant. Divergence Detection: The indicator can spot bullish and bearish divergences between price and CVD, which can signal potential trend reversals. Pivot-Based Divergence: Identifies price and CVD pivots, highlighting divergence patterns that are crucial for predicting price changes. Trend Analysis: Colors bars according to trend direction, providing a visual indication of bullish or bearish conditions based on Z-Score. How It Works Cumulative Volume Delta (CVD): The CVD is calculated by summing the difference between buying and selling volume for each bar. It represents the net buying or selling pressure, giving insights into market sentiment. Z-Score Normalization: The Z-Score is applied to the CVD to normalize its values, making it easier to compare current conditions with historical averages. A Z-Score greater than 0 indicates a bullish market, while a Z-Score less than 0 signals a bearish market. Divergence Detection: The indicator detects regular and hidden bullish and bearish divergences between price and CVD. These divergences often precede trend reversals, offering traders a potential entry point. Pivot-Based Analysis: The indicator uses pivot highs and lows in both price and CVD to identify divergence patterns. A bullish divergence occurs when price makes a lower low, but CVD fails to follow, suggesting weakening selling pressure. Conversely, a bearish divergence happens when price makes a higher high, but CVD doesn't confirm the move, indicating potential selling pressure. Trend Coloring: The bars are colored based on the trend direction. Green bars indicate an uptrend (CVD is positive), and red bars indicate a downtrend (CVD is negative). This provides an easy-to-read visualization of market conditions. Standard Deviation Levels: The indicator plots ±1σ, ±2σ, and ±3σ levels to indicate the degree of deviation from the average CVD. These levels act as thresholds for identifying extreme buying or selling pressure. Customization Options Anchor Timeframe: The user can define an anchor timeframe to aggregate the CVD, which can be customized based on the trader’s needs (e.g., daily, weekly, custom lower timeframes). Z-Score Period: The period for calculating the Z-Score can be adjusted, allowing traders to fine-tune the indicator's sensitivity. Divergence Detection: The tool offers controls to enable or disable divergence detection, with the ability to adjust the lookback periods for pivot detection. Trend Coloring and Visuals: Traders can choose whether to color bars based on trend direction, display standard deviation levels, or visualize the data as a histogram or line plot. Display Options: The indicator also allows for various display options, including showing the Z-Score values and divergence signals, with customizable colors and line widths. Alerts and Signals The Cumulative Volume Delta Z Score comes with pre-configured alert conditions for: Z-Score Crossovers: Alerts are triggered when the Z-Score crosses the 0 line, indicating a potential trend reversal. Shifting Trend: Alerts for when the Z-Score shifts direction, signaling a change in market sentiment. Divergence Detection: Alerts for both regular and hidden bullish and bearish divergences, offering potential reversal signals. Extreme Imbalances: Alerts when the Z-Score reaches extreme positive or negative levels, indicating overbought or oversold market conditions. Applications in Trading Trend Identification: Use the Z-Score to confirm bullish or bearish trends based on cumulative volume data, filtering out noise and false signals. Reversal Signals: Divergences between price and CVD can help identify potential trend reversals, making it a powerful tool for swing traders. Volume-Based Confirmation: The Z-Score allows traders to confirm price movements with volume data, providing more reliable signals compared to price action alone. Divergence Strategy: Use the divergence signals to identify potential points of entry, particularly when regular or hidden divergences appear. Volatility and Market Sentiment: The Z-Score provides insights into market volatility by measuring the deviation of CVD from its historical mean, helping to predict price movement strength. The Cumulative Volume Delta Z Score is a powerful tool that combines volume analysis with statistical normalization. By focusing on volume imbalances and applying Z-Score normalization, this indicator provides clear, reliable signals for trend identification and potential reversals. It is especially useful for filtering out market noise and ensuring that trades are based on significant price movements driven by substantial volume changes. This indicator is perfect for traders looking to add volume-based analysis to their strategy, offering a more robust and accurate way to gauge market sentiment and trend strength.
Penunjuk Pine Script®
oleh BackQuant
1
ATH Levels v4# ATH Levels v4 A powerful indicator for tracking All-Time Highs (ATH) and setting customizable price levels based on percentage drops from the ATH. Perfect for cryptocurrency trading, DCA strategies, and risk management. ## Overview ATH Levels v4 helps traders visualize key support levels calculated as percentage drops from the All-Time High within a configurable lookback period. The indicator also tracks the All-Time Low (ATL) since the last ATH, providing a complete picture of price range dynamics. ## Key Features ### Configurable Percentage Levels - Define up to 8 custom price levels as percentage drops from ATH - No longer limited to fixed 10% intervals - Each level can be set anywhere from 0% to 100% drop - Default levels: 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80% ### ATL Tracking (NEW in v4) - Automatically tracks the All-Time Low since the last ATH was reached - Displays ATL price and percentage drop from ATH - Resets when a new ATH is detected - Can be toggled on/off ### Portfolio Management - Allocate pot size percentages to each level - Visualize dollar amounts for each level based on your total pot size - Plan your DCA (Dollar Cost Averaging) strategy - Only displays levels with allocated pot percentages ### Flexible Display Options - Show/hide level lines - Hide ATH level for zooming into lower levels - Configurable lookback period (default 365 days) - Adjustable right margin positioning for labels - Color-coded labels with transparency gradient ## How to Use ### Basic Setup 1. Add the indicator to your chart 2. Set your total pot size in dollars 3. Configure the percentage drops for each level (where you want to buy/accumulate) 4. Allocate pot size percentages to each level ### Example DCA Strategy ``` Total Pot Size: $10,000 Level 3 (-30%): 10% pot = $1,000 Level 4 (-40%): 20% pot = $2,000 Level 5 (-50%): 25% pot = $2,500 Level 6 (-60%): 30% pot = $3,000 Level 7 (-70%): 10% pot = $1,000 Level 8 (-80%): 5% pot = $500 ``` ## Settings ### Display Options - **Show level lines**: Toggle horizontal lines on/off - **Hide ATH level**: Hide the ATH label for cleaner charts - **Show ATL since last ATH**: Display/hide the All-Time Low indicator - **Days to Lookback**: Period for calculating ATH (default: 365) - **Margin from last bar**: Spacing between chart and labels (default: 10) ### Level Configuration - **Level 1-8 % drop from ATH**: Set custom percentage drops (0-100%) - **Level 1-8 pot %**: Allocate your portfolio percentage to each level (0-100%) **Note**: Levels only display if they have a pot percentage allocated (>0%) ### Pot Size - **Pot size**: Total amount in dollars available for the strategy ## Version History ### V4 (October 2025) - Upgraded to PineScript v6 - Configurable percentage drops from ATH (no longer hardcoded) - ATL tracking and display since last ATH - Updated syntax and functions for v6 compatibility ### V3 (May 2020) - Added option to hide ATH level for better chart zoom ### V2 - Hide/show level lines - Configurable lookback period - Configurable right margin - Only shows levels with pot size % set ### V1 - Initial release with 8 fixed levels ## Use Cases ### Cryptocurrency Trading - Plan accumulation zones during bear markets - Set alerts at key percentage drops from ATH - Track historical ATH and ATL ranges ### Risk Management - Visualize potential support zones - Plan position sizing at different levels - Monitor distance from ATH in real-time ### DCA Strategies - Automate dollar-cost averaging planning - Allocate budget across multiple price levels - Track execution of your DCA plan ## Technical Details - **Version**: PineScript v6 - **Type**: Indicator - **Overlay**: Yes - **Default Timeframe**: Works on all timeframes - **Calculations**: Based on closing prices within lookback period ## Credits Original concept inspired by daytask. Enhanced and maintained by SilvesterScorpion.com ## License This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org --- **Tip**: For best results, use on higher timeframes (4H, Daily, Weekly) to identify major support zones. Combine with volume analysis and other indicators for confirmation.
Penunjuk Pine Script®
oleh SilvesterScorpion
Octopus Indicator 🐙 Octopus Indicator - Technical Analysis Description Overview The Octopus Indicator is a comprehensive TradingView technical analysis tool that combines multiple trading methodologies into a single, powerful script. It provides a complete market analysis framework through seven integrated components. 🔧 Core Components: 1. Moving Averages with Clouds EMA 25, 50, 75, and 150 with standard deviation bands Visual clouds representing volatility around each EMA Customizable colors for each average and its cloud 2. Dual Hull Bands Two separate Hull bands with different periods (20 and 110) Multiple variations: HMA, THMA, EHMA Colored filling between Hull lines Option to use higher timeframes for multi-timeframe analysis 3. Swing High/Low Detector Identifies significant price reversal points Configurable swing strength (default: 5 bars) Solid lines for current swings and dotted for past ones Alerts when swing levels are broken 4. Volume Analysis (PVSRA) Vector Candles that change color based on volume: Red/Green: Volume ≥ 200% of average or highest spread×volume Blue/Violet: Volume ≥ 150% of average Gray: Normal conditions Vector Candle Zones (VCZ): Key areas based on volume candles 5. Daily & Weekly Levels Previous day's high and low Previous week's high and low Stepline display with optional labels 6. UT Bot - Trailing Stop Dynamic ATR-based stop loss Bar coloring based on trend direction Adjustable sensitivity via "Key Value" 7. Session Detector Identifies session highs/lows (Sydney, Asia, Europe, etc.) Visual boxes marking each trading session ⚙️ Customization Features: Individual color schemes for all elements Adjustable line thickness Custom transparency settings Flexible calculation periods Multiple timeframe options 🎯 Trading Applications: Trend Identification (EMAs + Hull) Entry/Exit Points (Swings + Volume) Risk Management (Trailing Stop) Support/Resistance (VCZ + Highs/Lows) Market Timing (Sessions + Volume) 💡 Key Benefits: All-in-One Solution: Eliminates indicator clutter Multi-Timeframe Analysis: Built-in higher timeframe data Visual Clarity: Clean, organized display with color coding Customizable Alerts: Swing break and trend change notifications Professional Grade: Institutional-level volume analysis This indicator is designed for traders who want a comprehensive market analysis tool without the complexity of managing multiple separate indicators, providing holistic market insight through different technical perspectives.
Penunjuk Pine Script®
oleh OctopusTrader2830
Enhanced Holt-Winters RSI [BOSWaves]Enhanced Holt-Winters RSI – Next-Level Momentum Smoothing & Signal Precision Overview The Enhanced Holt-Winters RSI transforms the classic Relative Strength Index into a robust, lag-minimized momentum oscillator through Holt-Winters triple exponential smoothing. By modeling the level, trend, and cyclical behavior of the RSI series, this indicator delivers smoother, more responsive signals that highlight overbought/oversold conditions, momentum shifts, and high-conviction trading setups without cluttering the chart with noise. Unlike traditional RSI, which reacts to historical data and produces frequent whipsaws, the Enhanced Holt-Winters RSI filters transient price fluctuations, enabling traders to detect emerging momentum and potential reversal zones earlier. Theoretical Foundation The traditional RSI measures relative strength by comparing average gains and losses, but suffers from: Lag in trend recognition : Signals often arrive after momentum has shifted. Noise sensitivity : High-frequency price movements generate unreliable crossovers. Limited insight into structural market shifts : Standard RSI cannot contextualize cyclical or momentum patterns. The Enhanced Holt-Winters RSI addresses these limitations by applying triple exponential smoothing directly to the RSI series. This decomposes the series into: Level (Lₜ) : Represents the smoothed central tendency of RSI. Trend (Tₜ) : Captures rate-of-change in smoothed momentum. Seasonal Component (Sₜ) : Models short-term cyclical deviations in momentum. By incorporating these elements, the oscillator produces smoothed RSI values that react faster to emerging trends while suppressing erratic noise. Its internal forecast is mathematical, influencing the smoothed RSI output and signals, rather than being directly plotted. How It Works The Enhanced Holt-Winters RSI builds its signal framework through several layers: 1. Base RSI Calculation Computes standard RSI over the selected period as the primary momentum input. 2. Triple Exponential Smoothing (Holt-Winters) The RSI is smoothed recursively to extract underlying momentum structure: Level, trend, and seasonal components are combined to produce a smoothed RSI. This internal smoothing reduces lag and enhances signal reliability. 3. Momentum Analysis Short-term momentum shifts are tracked via a moving average of the smoothed RSI, highlighting acceleration or deceleration in directional strength. 4. Volume Confirmation (Optional) Buy/sell signals can be filtered through a configurable volume threshold, ensuring only high-conviction moves trigger alerts. 5. Visual Output Colored Candles : Represent overbought (red), oversold (green), or neutral (yellow) conditions. Oscillator Panel : Plots the smoothed RSI with dynamic color coding for immediate trend context. Signals : Triangular markers indicate bullish or bearish setups, with stronger signals flagged in extreme zones. Interpretation The Enhanced Holt-Winters RSI provides a multi-dimensional perspective on price action: Trend Strength : Smoothed RSI slope and color coding reflect the direction and momentum intensity. Momentum Shifts : Rapid changes in the smoothed RSI indicate emerging strength or weakness. Overbought/Oversold Zones : Highlight areas where price is stretched relative to recent momentum. High-Conviction Signals : Combined with volume filtering, markers indicate optimal entries/exits. Cycle Awareness : Smoothing reveals structural patterns, helping traders avoid reacting to noise. By combining these elements, traders gain early insight into market structure and momentum without relying on raw, lag-prone RSI data. Strategy Integration The Enhanced Holt-Winters RSI can be applied across trading styles: Trend Following Enter when RSI is aligned with price momentum and color-coded signals confirm trend direction. Strong slope in the smoothed RSI signals trend continuation. Reversal Trading Look for RSI extremes with momentum shifts and strong signal markers. Compression in oscillator values often precedes reversal setups. Breakout Detection Oscillator flattening in neutral zones followed by directional expansion indicates potential breakout conditions. Multi-Timeframe Confluence Higher timeframes provide directional bias; lower timeframes refine entry timing using smoothed RSI dynamics. Technical Implementation Details Input Source : Close, open, high, low, or price. Smoothing : Holt-Winters triple exponential smoothing applied to RSI. Parameters : Level (α) : Controls smoothing of RSI. Trend (β) : Adjusts responsiveness to momentum changes. Seasonal Length : Defines cycles for short-term adjustments. Delta Smoothing : Reduces choppiness in smoothed RSI difference. Outputs : Smoothed RSI Colored candles and oscillator panel Buy/Sell signal markers (with optional strength filtering) Volume Filtering : Optional threshold to confirm signals. Optimal Application Parameters Asset-Specific Guidance: Forex : Use moderate smoothing (α, β) to capture medium-term momentum swings while filtering minor price noise. Works best when combined with volume or volatility filters. Equities : Balance responsiveness and smoothness to identify sustained sector momentum or rotational shifts; ideal for capturing clean directional transitions. Cryptocurrency : Increase smoothing parameters slightly to stabilize RSI during extreme volatility; optional volume confirmation can help filter false signals. Futures/Indices : Lower smoothing sensitivity emphasizes macro momentum and structural trend durability over short-term fluctuations. Timeframe Optimization: Scalping (1-5m) : Use higher sensitivity (lower smoothing factors) to react quickly to micro-momentum reversals. Intraday (15m-1h) : Balance smoothing and responsiveness for detecting short-term acceleration and exhaustion zones. Swing (4h-Daily) : Apply moderate smoothing to reveal underlying directional persistence and cyclical reversals. Position (Daily-Weekly) : Use stronger smoothing to isolate dominant momentum trends and filter temporary pullbacks. Integration Guidelines Combine with trend filters (EMAs, SuperSmoother MA, ATR-based tools) for confirmation. Use volume and signal strength markers to filter low-conviction trades. Slope, color, and signal alignment can guide entry, stop placement, and scaling. Disclaimer The Enhanced Holt-Winters RSI is a technical analysis tool, not a guaranteed profit system. Effectiveness depends on proper settings, market structure, and disciplined risk management. Always backtest before live trading.
Penunjuk Pine Script®
oleh BOSWaves
Confluence Zone BuilderWhat It Does The Confluence Zone Builder is a technical analysis indicator that identifies high-probability price levels by detecting where multiple technical factors align (converge) at the same price area. These "confluence zones" represent levels where price is statistically more likely to react - either bouncing (support/resistance) or breaking through (breakout targets). How It Works 1. Multi-Factor Analysis The indicator calculates key technical levels from various sources: Fibonacci Retracements (23.6%, 38.2%, 50%, 61.8%, 78.6%) - Support/resistance levels based on recent price swings Fibonacci Extensions (127.2%, 141.4%, 161.8%, 200%, 261.8%) - Breakout targets beyond the current range (both bullish and bearish) Pivot Points (Classic pivots: P, R1-R3, S1-S3) - Daily/weekly reference points traders watch Moving Averages (EMA 20, 50 and SMA 100, 200) - Dynamic support/resistance that institutions track VWAP - Volume-weighted average price, popular among institutional traders Psychological Levels - Round numbers that attract orders Previous Period Levels - Prior day/week high, low, and close 2. Proximity Clustering When multiple factors fall within a defined proximity range (default 0.5%), they're grouped together into a single "confluence zone." This prevents cluttering the chart with dozens of individual lines. 3. Weighted Scoring System Not all technical factors are equal. The indicator assigns importance weights: Key Fibonacci levels (61.8%) and major MAs (200, 50) get higher weights (2.0-2.5x) Pivot points and VWAP get medium weights (1.5x) Minor factors get lower weights (1.0x) The total score reflects both the number of factors and their importance. 4. Historical Validation The indicator analyzes the last 50 bars (customizable) to track: Touches: How many times price reached each zone Rejections: Times price bounced off the zone (✅) Breaks: Times price broke through the zone (❌) Win Rate: Percentage of times the zone held (rejections ÷ touches) 5. Dynamic Adjustment Zones aren't static - they adapt based on how price interacts with them: Strengthens (+0.5 per rejection, +0.2 per touch): Zones that repeatedly hold become more important Weakens (-0.8 per break): Zones that fail to hold lose credibility Visual Indicators: Thick solid lines = Strong zones (more rejections than breaks) Dashed lines = Weak zones (more breaks than rejections) Color-coded by score: Blue (low), Yellow (medium), Red (high) What You Gain From Using It For Support/Resistance Trading: High-probability entries: Enter at zones with high confluence scores and strong historical win rates Better risk management: Place stops beyond strong confluence zones that are likely to hold Reduced false signals: Multi-factor confirmation reduces reliance on single indicators For Breakout Trading: Target identification: Fibonacci extensions provide profit targets beyond current ranges Breakout confirmation: Weak zones (dashed lines, low win rates) are easier to break - ideal for breakout entries False breakout avoidance: Strong zones (thick lines, high win rates) require more confirmation before entering For Position Management: Exit planning: Take profits at high-confluence zones ahead Stop placement: Use strong zones as logical stop-loss levels Trade filtering: Higher probability setups occur at stronger zones Key Advantages: Objective confluence detection - No manual line drawing needed Data-driven validation - Historical performance shows which zones actually matter Adaptive intelligence - Zones strengthen/weaken based on real price action Clean visualization - Top zones only, with compact labels showing score and factors Customizable - Adjust weights, components, and thresholds to your trading style Bottom Line: Instead of guessing which technical level matters most, this indicator does the heavy lifting - analyzing multiple factors, validating them historically, and highlighting only the zones where price is most likely to react. It's like having confluence analysis automated with statistical backing.
Penunjuk Pine Script®
oleh Vagarbete
RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
Penunjuk Pine Script®
oleh DCAUT
Inverse VIX / Custom Inverse Line🎯 Main Idea This indicator creates a line that moves opposite to the VIX (Volatility Index) — or any symbol you choose. When VIX rises (fear increases), → this line goes down. When VIX falls (market calm), → this line goes up. It helps you visually understand market sentiment — calm periods (bullish) vs fear periods (bearish). ⚙️ Input Settings Setting Description Symbol to invert The symbol to invert. Default is CBOE:VIX. Inverse mode The method used to invert the values. There are 3 options: ① Negate Simply flips the sign (multiplies by -1). Very straightforward. ② Reciprocal Uses the mathematical inverse (1 ÷ value). High values become smaller, and vice versa. ③ Inverse Normalized The most useful mode 🔥 — normalizes values between 0–100 and flips them, similar to an RSI. Normalization lookback How many bars to use for normalization (default 252 = roughly one trading year). Smoothing (SMA) Number of bars for smoothing (makes the line smoother). Use log for reciprocal Uses logarithmic scaling to stabilize big swings. Plot color / width Customize the line’s color and thickness. Show original source If enabled, shows the original VIX line for comparison. 📈 How It Works The script fetches the close price of the VIX (or your chosen symbol). It applies the selected inversion method. The inverted line is plotted on the chart. In “Inverse Normalized” mode: The range is 0–100. Values above 75 = high optimism (market often overheated). Values below 25 = high fear (potential buying opportunity). A middle line at 50 marks neutral sentiment. ⚠️ Alerts The indicator includes two default alerts when using “Inverse Normalized” mode: 🔔 Above 75: Market showing strong optimism (potential top or correction zone). 🔔 Below 25: Market showing fear (potential bottom or buy signal). 🧠 How to Use It Use it on daily or weekly charts for clearer signals. Compare it with SPX or NASDAQ: When the Inverse VIX line rises, markets often go up. When it falls, markets usually drop or consolidate. Combine it with other indicators (e.g., RSI, MACD) for confirmation.
Penunjuk Pine Script®
oleh adnan997it