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חפש סקריפטים עבור "chart"

HTF Candle Volume Thermometer [ChartPrime]The HTF Candle Volume Thermometer is a powerful volume heatmap tool that visualizes higher timeframe candle volume distributions directly on the chart. It helps traders identify key price levels where liquidity is concentrated, allowing for more informed trading decisions. ⯁ KEY FEATURES Higher Timeframe Volume Mapping Uses higher timeframe (HTF) candles to create a heatmap of volume distribution within each candle. Dynamic Volume Heatmap Colors each HTF candle background green for bullish and red for bearish, with a gradient heat overlay highlighting volume concentration. Max Volume Point Identification Marks the level within each HTF candle where the highest volume was recorded, using red for the most significant volume area. Fully Customizable Display Users can adjust the HTF timeframe, color settings, and resolution to tailor the indicator to their trading preferences. Segmented Volume Distribution Each HTF candle is divided into smaller levels, allowing traders to see volume changes within the range of each candle. Key Level Detection Max volume points often act as key support and resistance levels where price is likely to react, helping traders refine their strategies. ⯁ HOW TO USE Identify Liquidity Zones Use the max volume levels to determine areas where price is likely to find support or resistance. Assess Trend Strength Compare volume distribution between bullish and bearish HTF candles to gauge market momentum. Optimize Trade Entries & Exits Look for price reactions at high-volume areas to refine stop-loss and take-profit levels. Adjust Heatmap Resolution Customize the resolution setting to get a more detailed or broader view of volume segmentation within HTF candles. ⯁ CONCLUSION The HTF Candle Volume Thermometer is a must-have tool for traders who want to integrate volume analysis with higher timeframe structures. By visualizing volume heatmaps within each HTF candle, this indicator helps traders pinpoint critical liquidity zones and key price levels.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
23
Swing High/Low (ZigZag) [ChartPrime]Swing High/Low (ZigZag) Indicator The Swing High/Low (ZigZag) Indicator is a versatile tool for identifying and visualizing price swings, swing highs, and swing lows. It dynamically plots levels for significant price points while connecting them with a ZigZag line, enabling traders to analyze market structure and trends with precision. ⯁ KEY FEATURES Swing Highs and Lows Detection Accurately detects and marks swing highs and lows, providing a clear structure of market movements. Real-Time ZigZag Line Connects swing points with a dynamic ZigZag line for a visual representation of price trends. Customizable Swing Sensitivity Swing length input allows traders to adjust the sensitivity of swing detection to match their preferred market conditions. Swing Levels with Shadows Option to display swing levels with extended shadows for better visibility and market analysis. Broken Levels Marking Tracks and visually updates levels as dashed lines when broken, providing insights into shifts in market structure. Swing Direction Display At the top-right corner, the indicator displays the current swing direction (up or down) with a directional arrow for quick reference. Interactive Labels Marks swing levels with labels, showing the price of swing highs and lows for added clarity. Dynamic Market Structure Analysis Automatically adjusts ZigZag lines and levels as the market evolves, ensuring real-time updates for accurate trading decisions. ⯁ HOW TO USE Analyze Market Trends Use the ZigZag line and swing levels to identify the overall direction and structure of the market. Spot Significant Price Points Swing highs and lows act as potential support and resistance levels for trading opportunities. Adjust Swing Sensitivity Modify the swing length setting to match your trading strategy, whether scalping, day trading, or swing trading. Monitor Broken Levels Use the dashed lines of broken levels to identify changes in market dynamics and potential breakout or breakdown zones. Plan Entries and Exits Leverage swing levels and direction to determine optimal entry, stop-loss, and take-profit points. ⯁ CONCLUSION The Swing High/Low (ZigZag) Indicator is a powerful tool for traders seeking to visualize price swings and market structure. Its real-time updates, customizable settings, and dynamic swing direction make it an invaluable resource for technical analysis and decision-making.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
13
Fibonacci Trend [ChartPrime]Fibonacci Trend Indicator This powerful indicator leverages supertrend analysis to detect market direction while overlaying dynamic Fibonacci levels to highlight potential support, resistance, and optimal trend entry zones. With its straightforward design, it is perfect for traders looking to simplify their workflow and enhance decision-making. ⯁ KEY FEATURES AND HOW TO USE ⯌ Supertrend Trend Identification : The indicator uses a supertrend algorithm to identify market direction. It displays purple for downtrends and green for uptrends, ensuring quick and clear trend analysis. ⯌ Fibonacci Levels for Current Swings : Automatically calculates Fibonacci retracement levels (0.236, 0.382, 0.618, 0.786) for the current swing leg. - These levels act as key zones for potential support, resistance, and trend continuation. - The high and low swing points are labeled with exact prices, ensuring clarity. - If the swing range is insufficient (less than five times ATR), Fibonacci levels are not displayed, avoiding irrelevant data. ⯌ Extended Fibonacci Levels : User-defined extensions project Fibonacci levels into the future, aiding traders in planning price targets or projecting key zones. ⯌ Optimal Trend Entry Zone : A filled area between 0.618 and 0.786 levels visually highlights the optimal entry zone for trend continuation. This allows traders to refine their entry points during pullbacks. ⯌ Diagonal Trend Line : A dashed diagonal line connects the swing high and low, visually confirming the range and trend strength of the current swing. ⯌ Visual Labels for Fibonacci Levels : Each Fibonacci level is marked with a label displaying its value for quick reference. ⯁ HOW TRADERS CAN POTENTIALLY USE THIS TOOL Fibonacci Retracements: Use the Fibonacci retracement levels to find key support or resistance zones where the price may pull back before continuing its trend. Example: Enter long trades when the price retraces to 0.618–0.786 levels in an uptrend. Fibonacci Extensions: Use Fibonacci extensions to project future price targets based on the current trend's swing leg. Levels like 127.2% and 161.8% are commonly used as profit-taking zones. Reversal Identification: Spot potential reversals by monitoring price reactions at key Fibonacci retracement levels (e.g., 0.236 or 0.382) or the swing high/low. Optimal Trend Entries: The filled zone between 0.618 and 0.786 is a statistically strong area for entering a position in the direction of the trend. Example: Enter long positions during retracements to this range in an uptrend. Risk Management: Set stop-losses below key Fibonacci levels or the swing low/high, and take profits at extension levels, enhancing your trade management strategies. ⯁ CONCLUSION The Fibonacci Trend Indicator is a straightforward yet effective tool for identifying trends and key Fibonacci levels. It simplifies analysis by integrating supertrend-based trend identification with Fibonacci retracements, extensions, and optimal entry zones. Whether you're a beginner or experienced trader, this indicator is an essential addition to your toolkit for trend trading, reversal spotting, and risk management.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
22
Trend Levels [ChartPrime]The Trend Levels indicator is designed to identify key trend levels (High, Mid, and Low) during market trends, based on real-time calculations of highest, lowest, and mid-level values over a customizable length. Additionally, the indicator calculates trend strength by measuring the ratio of candles closing above or below the midline, providing a clear view of the ongoing trend dynamics and strength. ⯁ KEY FEATURES AND HOW TO USE ⯌ Trend Shift Signals : Trend shifts, based on highest and lowest values during input length. When high is == to highest it will change trend to up when low == lowest value it will be shift to down trend. // Calculate highest and lowest over the specified length h = ta.highest(length) l = ta.lowest(length) // Determine trend direction: if the current high is the highest value, set trend to true if h == high trend := true // If the current low is the lowest value, set trend to false if l == low trend := false Whenever the trend changes direction (from uptrend to downtrend or vice versa), the indicator provides visual cues in the form of arrows. This gives traders clear signals to identify potential trend reversals, enabling them to adjust their strategies accordingly. ⯌ Trend Level Calculation : As soon as a trend is detected (uptrend or downtrend), the indicator starts calculating the highest, lowest, and mid-level values over the defined period. These levels are plotted on the chart as color-coded lines for easy visualization, allowing traders to quickly spot the key levels within a trend. ⯌ Midline Retests : Throughout the trend, the mid-level line is often retested, acting as a potential zone for pullbacks or rejections. Traders can use these retests as opportunities for entering positions or confirming trend continuation. The chart shows how price frequently interacts with the midline, helping to identify important reaction levels. ⯌ Trend Strength Calculation : The indicator measures the trend strength by calculating the delta between the number of candles closing above and below the midline. This percentage-based delta is displayed in real-time, providing a clear indication of whether the trend is gaining or losing momentum. ⯁ USER INPUTS Length : Specifies the lookback period for calculating the highest and lowest values, which determines the key trend levels. Candle Counting : Measures the number of candles closing above and below the midline to calculate the trend strength delta. ⯁ CONCLUSION The Trend Levels indicator provides traders with a powerful tool for visualizing trend dynamics, key levels of support and resistance, and real-time trend strength. By identifying midline retests, tracking candle counts, and providing trend shift signals, this indicator can help traders make well-informed decisions during market trends.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
31
Liquidations Zones [ChartPrime]The Liquidation Zones indicator is designed to detect potential liquidation zones based on common leverage levels such as 10x, 25x, 50x, and 100x. By calculating percentage distances from recent pivot points, the indicator shows where leveraged positions are most likely to get liquidated. It also tracks buy and sell volumes in these zones, helping traders assess market pressure and predict liquidation scenarios. Additionally, the indicator features a heat map mode to highlight areas where orders and stop-losses might be clustered. ⯁ KEY FEATURES AND HOW TO USE ⯌ Leverage Zones Detection : The indicator identifies zones where positions with leverage ratios of 100x, 50x, 25x, and 10x are at risk of liquidation. These zones are based on percentage moves from recent pivots: a 1% move can liquidate 100x positions, a 4% move affects 25x positions, and so on. ⯌ Liquidated Zones and Volume Tracking : The indicator displays liquidated zones by plotting gray areas where the price potentually liquidate positons. It calculates the volume needed to liquidate positions in these zones, showing volume from bullish candles if short positions were liquidated and volume from bearish candles for long positions. This feature helps traders assess the risk of liquidation as the price approaches these zones. ⯌ Buy/Sell Volume Calculation : Buy and sell volumes are calculated from the most recent pivot high or low. For buy volume, only bullish candles are considered, while for sell volume, only bearish candles are summed. This data helps traders gauge the strength of potential liquidation in different zones. Example of buy and sell volume tracking in active zones: ⯌ Liquidity Heat Map : In heat map mode, the indicator visualizes potential liquidity areas where orders and stop-losses may be clustered. This map highlights zones that are likely to experience liquidations based on leverage ratios. Additionally, it tracks the highest and lowest price levels for the past 100 bars, while also displaying buy and sell volumes. This feature is useful for predicting market moves driven by liquidation events. ⯁ USER INPUTS Length : Determines the number of bars used to calculate pivots for liquidation zones. Extend : Controls how far the liquidation zones are extended on the chart. Leverage Options : Toggle options to display zones for different leverage levels: 10x, 25x, 50x, and 100x. Display Heat Map : Enables or disables the liquidity heat map feature. ⯁ CONCLUSION The Liquidation Zones indicator provides a powerful tool for identifying potential liquidation zones, tracking volume pressure, and visualizing liquidity areas on the chart. With its real-time updates and multiple features, this indicator offers valuable insights for managing risk and anticipating market moves driven by leveraged positions.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
10
DSL Trend Analysis [ChartPrime]The DSL Trend Analysis indicator utilizes Discontinued Signal Lines (DSL) deployed directly on price, combined with dynamic bands, to analyze the trend strength and momentum of price movements. By tracking the high and low price values and comparing them to the DSL bands, it provides a visual representation of trend momentum, highlighting both strong and weakening phases of market direction. ⯁ KEY FEATURES AND HOW TO USE ⯌ DSL-Based Trend Detection : This indicator uses Discontinued Signal Lines (DSL) to evaluate price action. When the high stays above the upper DSL band, the line turns lime, indicating strong upward momentum. Similarly, when the low stays below the lower DSL band, the line turns orange, indicating strong downward momentum. Traders can use these visual signals to identify strong trends in either direction. ⯌ Bands for Trend Momentum : The indicator plots dynamic bands around the DSL lines based on ATR (Average True Range). These bands provide a range within which price can fluctuate, helping to distinguish between strong and weakening trends. If the high remains within the upper band, the lime-colored line becomes transparent, showing weakening upward momentum. The same concept applies for the lower band, where the line turns orange with transparency, indicating weakening downward momentum. If high and low stays between bands line has no color to make sure indicator catches only strong momentum of price ⯌ Real-Time Band Price Labels : The indicator places two labels on the chart, one at the upper DSL band and one at the lower DSL band, displaying the real-time price values of these bands. These labels help traders track the current price relative to the key bands, which are essential in determining potential breakout or reversal zones. ⯌ Visual Confirmation of Momentum Shifts : By monitoring the relationship between the high and low values of the price relative to the DSL bands, this indicator provides a reliable way to confirm whether the trend is gaining or losing strength. This allows traders to act accordingly, whether it's to enter or exit positions based on trend strength or weakness. ⯁ USER INPUTS Length : Defines the period used to calculate the DSL lines, influencing the sensitivity of the trend detection. Offset : Adjusts the offset applied to the upper and lower DSL bands, affecting how the thresholds for strong or weak momentum are set. Width (ATR Multiplier) : Determines the width of the DSL bands based on an ATR multiplier, providing a dynamic range around the price for momentum analysis. ⯁ CONCLUSION The DSL Trend Analysis indicator is a powerful tool for assessing price momentum and trend strength. By combining Discontinued Signal Lines with dynamically calculated bands, traders can easily spot key moments when momentum shifts from strong to weak or vice versa. The color-coded lines and real-time price labels provide valuable insights for trading decisions in both trending and ranging markets.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
9
Gaps Trend [ChartPrime]The Gaps Trend - ChartPrime indicator is designed to detect Fair Value Gaps (FVGs) in the market and apply a trailing stop mechanism based on those gaps. It identifies both bullish and bearish gaps and provides traders with a way to manage trades dynamically as gaps appear. The indicator visually highlights gaps and uses the detected momentum to assess trend direction, helping traders identify price imbalances caused by strong buy or sell pressure. ⯁ KEY FEATURES & HOW TO USE ⯌ Fair Value Gap (FVG) Detection : The indicator automatically detects both bullish and bearish FVGs, identifying gaps between candle highs and lows. Bullish gaps are shown in green, and bearish gaps in purple. These gaps indicate price imbalances driven by strong momentum, such as when there is significant buying or selling pressure. Use : Traders can use FVG detection to identify periods of high price momentum, offering insight into potential continuation or exhaustion of trends. ⯌ Trailing Stop Feature Based on FVGs : A core feature of this indicator is the trailing stop mechanism, which adjusts dynamically based on the identified FVGs. When a bullish gap is detected, the trailing stop is placed below the price to capture upward momentum, while bearish gaps result in a trailing stop placed above the price. This feature helps traders stay in trends while protecting profits as the price moves. Use : The trailing stop follows the momentum of the price, ensuring that traders can stay in profitable trades during strong trends and exit when the momentum shifts. bullish set up bearish set up ⯌ Trend Direction Indication : The indicator colors the chart according to the current trend direction based on the position of the price relative to the trailing stop. Green indicates an uptrend (bullish gap), while purple shows a downtrend (bearish gap). This provides traders with a quick visual assessment of trend direction based on the presence of gaps. Use : Traders can monitor the chart's color to stay aligned with the market’s trend, staying long during green phases and short during purple ones. ⯌ Gap Size Filtering : Each detected gap is assigned a numerical ranking based on its size, with larger gaps having higher rankings. The gap size filter allows traders to only display gaps that meet a minimum size threshold, focusing on the most impactful gaps in terms of price movement. Use : Traders can use the filter to focus on gaps of a certain size, filtering out smaller, less significant gaps. The numerical ranking helps identify the largest and most influential gaps for decision-making. ⯌ FVG Level Visualization : The indicator can display dashed lines marking the levels of previously filled FVGs. These levels represent areas where price once experienced a gap and later filled it. Monitoring these levels can provide traders with key reference points for potential reactions in price. Use : Traders can use these gap levels to track where price has filled gaps and potentially use these levels as zones for entry, exit, or assessing market behavior. ⯁ USER INPUTS Filter Gaps : Adjust the size threshold to filter gaps by their size ranking. Show Gap Levels : Toggle the display of dashed lines at filled FVG levels. Enable Trailing Stop : Activate or deactivate the trailing stop feature based on FVGs. Trailing Stop Length : Set the number of bars used to calculate the trailing stop. Bullish/Bearish Colors : Customize the colors representing bullish and bearish gaps. ⯁ CONCLUSION The Gaps Trend indicator combines Fair Value Gap detection with a dynamic trailing stop feature to help traders manage trades during periods of high price momentum. By detecting gaps caused by strong buy or sell pressure and applying adaptive stops, the indicator provides a powerful tool for riding trends and managing risk. The additional ability to filter gaps by size and visualize previously filled gaps enhances its utility for both trend-following and risk management strategies.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
10
Double Ribbon [ChartPrime]The Double Ribbon - ChartPrime indicator is a powerful tool that combines two sets of Simple Moving Averages (SMAs) into a visually intuitive ribbon, which helps traders assess market trends and momentum. This indicator features two distinct ribbons: one with a fixed length but changing offset (displayed in gray) and another with varying lengths (displayed in colors). The relationship between these ribbons forms the basis of a trend score, which is visualized as an oscillator. This comprehensive approach provides traders with a clear view of market direction and strength. ◆ KEY FEATURES Dual Ribbon Visualization : Displays two sets of 11 SMAs—one in a neutral gray color with a fixed length but varying offset, and another in vibrant colors with lengths that increase incrementally. Trend Score Calculation : The trend score is derived from comparing each SMA in the colored ribbon with its corresponding SMA in the gray ribbon. If a colored SMA is above its gray counterpart, a positive score is added; if below, a negative score is assigned. // Loop to calculate SMAs and update the score based on their relationships for i = 0 to length // Calculate SMA with increasing lengths sma = ta.sma(src, len + 1 + i) // Update score based on comparison of primary SMA with current SMA if sma1 < sma score += 1 else score -= 1 // Store calculated SMAs in the arrays sma_array.push(sma) sma_array1.push(sma1 ) Dynamic Trend Analysis : The score oscillator provides a dynamic analysis of the trend, allowing traders to quickly gauge market conditions and potential reversals. Customizable Ribbon Display : Users can toggle the display of the ribbon for a cleaner chart view, focusing solely on the trend score if desired. ◆ USAGE Trend Confirmation : Use the position and color of the ribbon to confirm the current market trend. When the colored ribbon consistently stays above the gray ribbon, it indicates a strong uptrend, and vice versa for a downtrend. Momentum Assessment : The score oscillator provides insight into the strength of the current trend. Higher scores suggest stronger trends, while lower scores may indicate weakening momentum or a potential reversal. Strategic Entry/Exit Points : Consider using crossovers between the ribbons and changes in the score oscillator to identify potential entry or exit points in trades. ⯁ USER INPUTS Length : Sets the base length for the primary SMAs in the ribbons. Source : Determines the price data used for calculating the SMAs (e.g., close, open). Ribbon Display Toggle : Allows users to show or hide the ribbon on the chart, focusing on either the ribbon, the trend score, or both. ⯁ CONCLUSION The Double Ribbon indicator offers traders a comprehensive tool for analyzing market trends and momentum. By combining two ribbons with varying SMA lengths and offsets, it provides a clear visual representation of market conditions. The trend score oscillator enhances this analysis by quantifying trend strength, making it easier for traders to identify potential trading opportunities and manage risk effectively.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
7
Radius Trend [ChartPrime]RADIUS TREND ⯁ OVERVIEW The Radius Trend [ ChartPrime ] indicator is an innovative technical analysis tool designed to visualize market trends using a dynamic, radius-based approach. By incorporating adaptive bands that adjust based on price action and volatility, this indicator provides traders with a unique perspective on trend direction, strength, and potential reversal points. The Radius Trend concept involves creating a dynamic trend line that adjusts its angle and position based on market movements, similar to a radius sweeping across a chart. This approach allows for a more fluid and adaptive trend analysis compared to traditional linear trend lines. ◆ KEY FEATURES Dynamic Trend Band: Calculates and plots a main trend band that adapts to market conditions. Radius-Based Adjustment: Uses a step-based radius approach to adjust the trend band angle. // Apply step angle to trend lines if bar_index % n == 0 and trend multi1 := 0 multi2 += step band += distance1 * multi2 if bar_index % n == 0 and not trend multi1 += step multi2 := 0 band -= distance1 * multi1 Volatility-Adjusted Calculations: Incorporates price range volatility for more accurate band placement. Trend Direction Visualization: Provides clear color-coding to distinguish between uptrends and downtrends. Flexible Parameters: Allows users to adjust the radius step and initial distance for customized analysis. ◆ USAGE Trend Identification: Use the color and direction of the main band to determine the current market trend. Trend Strength Analysis: Observe the angle and consistency of the band for insights into trend strength. Reversal Detection: Watch for price crossing the main band or crossing a dashed band as a potential trend reversal signal. Volatility Assessment: The distance between price and bands can provide insights into market volatility. ⯁ USER INPUTS Radius Step: Controls the rate of angle adjustment for the trend band (default: 0.15, step: 0.001). Start Points Distance: Sets the initial distance multiplier for band calculations (default: 2, step: 0.1). The Radius Trend indicator offers traders a unique and dynamic approach to trend analysis. By combining radius-based trend adjustments with volatility-sensitive calculations, it provides a fluid representation of market trends. This indicator is particularly useful for traders looking to identify trend persistence, potential reversal points, and adaptive support/resistance levels across various market conditions and timeframes.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
37
Polynomial Regression Keltner Channel [ChartPrime]Polynomial Regression Keltner Channel ⯁ OVERVIEW The Polynomial Regression Keltner Channel [ ChartPrime ] indicator is an advanced technical analysis tool that combines polynomial regression with dynamic Keltner Channels. This indicator provides traders with a sophisticated method for trend analysis, volatility assessment, and identifying potential overbought and oversold conditions. ◆ KEY FEATURES Polynomial Regression: Uses polynomial regression for trend analysis and channel basis calculation. Dynamic Keltner Channels: Implements Keltner Channels with adaptive volatility-based bands. Overbought/Oversold Detection: Provides visual cues for potential overbought and oversold market conditions. Trend Identification: Offers clear trend direction signals and change indicators. Multiple Band Levels: Displays four levels of upper and lower bands for detailed market structure analysis. Customizable Visualization: Allows toggling of additional indicator lines and signals for enhanced chart analysis. ◆ FUNCTIONALITY DETAILS ⬥ Polynomial Regression Calculation: Implements a custom polynomial regression function for trend analysis. Serves as the basis for the Keltner Channel, providing a smoothed centerline. //@function Calculates polynomial regression //@param src (series float) Source price series //@param length (int) Lookback period //@returns (float) Polynomial regression value for the current bar polynomial_regression(src, length) => sumX = 0.0 sumY = 0.0 sumXY = 0.0 sumX2 = 0.0 sumX3 = 0.0 sumX4 = 0.0 sumX2Y = 0.0 n = float(length) for i = 0 to n - 1 x = float(i) y = src sumX += x sumY += y sumXY += x * y sumX2 += x * x sumX3 += x * x * x sumX4 += x * x * x * x sumX2Y += x * x * y slope = (n * sumXY - sumX * sumY) / (n * sumX2 - sumX * sumX) intercept = (sumY - slope * sumX) / n n - 1 * slope + intercept ⬥ Dynamic Keltner Channel Bands: Calculates ATR-based volatility for dynamic band width adjustment. Uses a base multiplier and adaptive volatility factor for flexible band calculation. Generates four levels of upper and lower bands for detailed market structure analysis. atr = ta.atr(length) atr_sma = ta.sma(atr, 10) // Calculate Keltner Channel Bands dynamicMultiplier = (1 + (atr / atr_sma)) * baseATRMultiplier volatility_basis = (1 + (atr / atr_sma)) * dynamicMultiplier * atr ⬥ Overbought/Oversold Indicator line and Trend Line: Calculates an OB/OS value based on the price position relative to the innermost bands. Provides visual representation through color gradients and optional signal markers. Determines trend direction based on the polynomial regression line movement. Generates signals for trend changes, overbought/oversold conditions, and band crossovers. ◆ USAGE Trend Analysis: Use the color and direction of the basis line to identify overall trend direction. Volatility Assessment: The width and expansion/contraction of the bands indicate market volatility. Support/Resistance Levels: Multiple band levels can serve as potential support and resistance areas. Overbought/Oversold Trading: Utilize OB/OS signals for potential reversal or pullback trades. Breakout Detection: Monitor price crossovers of the outermost bands for potential breakout trades. ⯁ USER INPUTS Length: Sets the lookback period for calculations (default: 100). Source: Defines the price data used for calculations (default: HLC3). Base ATR Multiplier: Adjusts the base width of the Keltner Channels (default: 0.1). Indicator Lines: Toggle to show additional indicator lines and signals (default: false). ⯁ TECHNICAL NOTES Implements a custom polynomial regression function for efficient trend calculation. Uses dynamic ATR-based volatility adjustment for adaptive channel width. Employs color gradients and opacity levels for intuitive visual representation of market conditions. Utilizes Pine Script's plotchar function for efficient rendering of signals and heatmaps. The Polynomial Regression Keltner Channel indicator offers traders a sophisticated tool for trend analysis, volatility assessment, and trade signal generation. By combining polynomial regression with dynamic Keltner Channels, it provides a comprehensive view of market structure and potential trading opportunities. The indicator's adaptability to different market conditions and its customizable nature make it suitable for various trading styles and timeframes.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
7
LOWESS (Locally Weighted Scatterplot Smoothing) [ChartPrime]LOWESS (Locally Weighted Scatterplot Smoothing) ⯁ OVERVIEW The LOWESS (Locally Weighted Scatterplot Smoothing) [ ChartPrime ] indicator is an advanced technical analysis tool that combines LOWESS smoothing with a Modified Adaptive Gaussian Moving Average. This indicator provides traders with a sophisticated method for trend analysis, pivot point identification, and breakout detection. ◆ KEY FEATURES LOWESS Smoothing: Implements Locally Weighted Scatterplot Smoothing for trend analysis. Modified Adaptive Gaussian Moving Average: Incorporates a volatility-adapted Gaussian MA for enhanced trend detection. Pivot Point Identification: Detects and visualizes significant pivot highs and lows. Breakout Detection: Tracks and optionally displays the count of consecutive breakouts. Gaussian Scatterplot: Offers a unique visualization of price movements using randomly colored points. Customizable Parameters: Allows users to adjust calculation length, pivot detection, and visualization options. ◆ FUNCTIONALITY DETAILS ⬥ LOWESS Calculation: Utilizes a weighted local regression to smooth price data. Adapts to local trends, reducing noise while preserving important price movements. ⬥ Modified Adaptive Gaussian Moving Average: Combines Gaussian weighting with volatility adaptation using ATR and standard deviation. Smooths the Gaussian MA using LOWESS for enhanced trend visualization. ⬥ Pivot Point Detection and Visualization: Identifies pivot highs and lows using customizable left and right bar counts. Draws lines and labels to mark broke pivot points on the chart. ⬥ Breakout Tracking: Monitors price crossovers of pivot lines to detect breakouts. Optionally displays and updates the count of consecutive breakouts. ◆ USAGE Trend Analysis: Use the color and direction of the smoothed Gaussian MA line to identify overall trend direction. Breakout Trading: Monitor breakouts from pivot levels and their persistence using the breakout count feature. Volatility Assessment: The spread of the Gaussian scatterplot can provide insights into market volatility. ⯁ USER INPUTS Length: Sets the lookback period for LOWESS and Gaussian MA calculations (default: 30). Pivot Length: Determines the number of bars to the left for pivot calculation (default: 5). Count Breaks: Toggle to show the count of consecutive breakouts (default: false). Gaussian Scatterplot: Toggle to display the Gaussian MA as a scatterplot (default: true). ⯁ TECHNICAL NOTES Implements a custom LOWESS function for efficient local regression smoothing. Uses a modified Gaussian MA calculation that adapts to market volatility. Employs Pine Script's line and label drawing capabilities for clear pivot point visualization. Utilizes random color generation for the Gaussian scatterplot to enhance visual distinction between different time periods. The LOWESS (Locally Weighted Scatterplot Smoothing) indicator offers traders a sophisticated tool for trend analysis and breakout detection. By combining advanced smoothing techniques with pivot point analysis, it provides a comprehensive view of market dynamics. The indicator's adaptability to different market conditions and its customizable nature make it suitable for various trading styles and timeframes.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
21
Multi Deviation Scaled Moving Average [ChartPrime]Multi Deviation Scaled Moving Average ChartPrime ⯁ OVERVIEW The Multi Deviation Scaled Moving Average is an analysis tool that combines multiple Deviation Scaled Moving Averages (DSMAs) to provide a comprehensive view of market trends. The DSMA, originally created by John Ehlers, is a sophisticated moving average that adapts to market volatility. This indicator offers a unique approach to trend analysis by utilizing a series of DSMAs with different periods and presenting the results through a color-coded line and a visual histogram. ◆ KEY FEATURES Multiple DSMA Calculation: Computes eight DSMAs with incrementally increasing periods for multi-faceted trend analysis. Trend Strength Visualization: Provides a color-coded moving average line indicating trend strength and direction. Trend Percentage Histogram: Displays a visual representation of bullish vs bearish trend percentages. Signal Generation: Identifies potential entry and exit points based on trend strength crossovers. Customizable Parameters: Allows users to adjust the base period and sensitivity of the indicator. ◆ USAGE Trend Direction and Strength: The color and intensity of the main indicator line provide quick insights into the current trend. Trend Percentage Histogram: The histogram value can give you an idea of ​​the market trend ahead Entry and Exit Signals: Diamond-shaped markers indicate potential trade entry and exit points based on trend strength shifts. Trend Bias Assessment: The trend percentage histogram offers a visual representation of the overall market bias. Multi-Timeframe Analysis: By applying the indicator to different timeframes, traders can gain insights into trends across various time horizons. ⯁ USER INPUTS Period: Sets the initial calculation period for the DSMAs (default: 30). Sensitivity: Adjusts the step size between DSMA periods. Lower values increase sensitivity (default: 60, range: 0-100). Source: Uses HLC3 (High, Low, Close average) as the default price source. The Multi Deviation Scaled Moving Average indicator offers traders a sophisticated tool for trend analysis and signal generation. By combining multiple DSMAs and providing clear visual cues, it enables traders to make more informed decisions about market direction and potential entry or exit points. The indicator's customizable parameters allow for fine-tuning to suit various trading styles and market conditions.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
30
Chebyshev Filter Divergences [ChartPrime]The Chebyshev Filter Divergences Oscillator The Chebyshev Filter indicator is a powerful tool designed to identify potential divergences between price and a filtered version of price based on the Chebyshev filter algorithm. It helps to spot mean reversion points by highlighting areas where price and the filtered price exhibit conflicting signals. Chebyshev Filter Background: The Chebyshev filter, named after the Russian mathematician Pafnuty Chebyshev , was invented in the mid-19th century. It's a type of filter used in signal processing and digital signal processing for smoothing or removing unwanted frequency components from a signal. It provides a sharp cutoff between the passband and stopband of a filter while minimizing ripple in the passband or stopband. Chebyshev filters are widely used in various applications, including audio and image processing, telecommunications, and financial analysis, due to their efficiency and effectiveness in filtering out noise and extracting relevant information from signals. ◆ Indicator Calculation: The indicator first applies a Chebyshev filter to the price data, producing a filtered price series. It then normalizes this filtered price series to a range, where it can be used as oscillator with divergences. ◆ Visualization: The filtered price series is plotted on the chart, highlighting areas where it deviates from its smoothed average. Bullish and bearish divergences are marked on the chart with specific lines and colors, indicating potential shifts in market sentiment. Signs of change in direction are also marked on the chart, providing additional insights into possible mean reversals of price. ◆ User Inputs: Ripple (dB): Specifies the desired ripple factor in decibels for the Chebyshev filter. Normalization Length: Sets the length of the normalization period used in the Chebyshev filter. Pivots to Right and Left: Determines the number of pivot points to the right and left of the current point to consider when detecting divergences. Max and Min of Lookback Range: Specifies the maximum and minimum lookback range for identifying divergences. Show Divergences: Enables or disables the display of bullish and bearish divergences. Visual Settings: Allows customization of colors for visual clarity. In conclusion, the Chebyshev Filter Divergences indicator, with its ability to identify potential mean reversion points through divergences between price and a filtered version of price, offers traders a valuable tool for decision-making in the financial markets. By highlighting areas of divergence, traders can potentially capitalize on market inefficiencies and make more informed trading decisions.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
9
Spiral Levels [ChartPrime]SPIRAL LEVELS ⯁ OVERVIEW The Spiral Levels [ ChartPrime ] indicator, designed for use on TradingView and developed with Pine Script™ , leveraging a combination of traditional pivot points and spiral geometry to visualize support and resistance levels on the chart. By plotting spirals from pivot points, the indicator provides a distinctive perspective on potential price movements. It's an experiment inspired from spirals in the Pine documentation and the concept of using spirals to add padding/offsets to SR zones in a market (an idea we plan to expand on in the future). ◆ USAGE ● Identifying Pivot Points: The indicator identifies significant pivot highs and lows based on user-defined criteria. ● Filtered Pivot Points: Pivot points for spirals are filtered using volume and high/low thresholds to ensure they are significant. ● Spiral Visualization: Spirals are plotted from these pivots, indicating potential future support and resistance levels or as liquidity zones. Additionally, the plotted levels can serve as liquidity zones where the price might attempt to grab liquidity, providing a deeper understanding of market behavior at significant volume levels. ● Volume-Based Coloring: Spirals are colored based on volume data, providing additional context about the strength of the price movement. ● Labeling and Line Extensions: Labels display volume information, and lines extend from the end of the spirals to the current bar for clarity. ● Spiral Rotation: By adjusting the "Number of spiral rotations" input, you can control the number of rotations each spiral makes around a pivot point, offering more detailed insights. This also allows you to control the distance of levels from a pivot. More rotations will extend the spiral further from the pivot point, potentially identifying support and resistance levels or liquidity zones at greater distances. This modification emphasizes that the number of rotations not only provides more detailed insights but also affects the spatial distribution of the identified levels relative to the pivot point. ⯁ USER INPUTS ● Pivots Left Bars: Determines the number of bars to the left of the pivot. Right Bars: Determines the number of bars to the right of the pivot. ● Filter Volume Filter: Sets the threshold for volume filtering. High & Low Filter: Sets the threshold for filtering pivot highs and lows. ● Spiral Spirals Shown: Specifies the number of spirals to be displayed on the chart. Number of spiral rotations: Sets the number of rotations for each spiral. X Scale: Adjusts the horizontal scale of the spirals. Y Scale: Adjusts the vertical scale of the spirals, relative to the ATR(200). Reverse Spirals: Option to reverse the direction of the spirals. ⯁ TECHNICAL NOTES The indicator uses Pine Script's polyline feature for smooth spiral rendering. It implements a custom cross detection function to manage line and label visibility. The script is optimized to limit calculations to the last 1000 bars for performance. It automatically manages the number of displayed elements to prevent clutter and ensure smooth performance. The Spiral Levels ChartPrime indicator offers a unique and visually engaging method to identify potential support and resistance levels. By integrating volume data and pivot points with spiral geometry, traders can gain valuable insights into market dynamics and make more informed trading decisions.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
16
Volume Positive & Negative Levels [ChartPrime]Volume Positive & Negative Levels Overview: The Volume Positive & Negative Levels indicator by ChartPrime is designed to provide traders with a clear visualization of volume activity across different price levels. By plotting volume levels as histograms, this tool helps identify significant areas of buying (positive volume) and selling (negative volume) pressure, enhancing the ability to spot potential support and resistance zones. Key Features: ⯁ Lookback Period: - The `lookbackPeriod` parameter, set to 500 bars, determines the range over which the volume analysis is conducted, ensuring a comprehensive view of the market’s volume activity. The maximum lookback period is 500 bars or the bars currently visible on the chart, whichever is smaller. ⯁ Dynamic Volume Calculation: - Volume is calculated dynamically based on the price action, with positive volume indicating buying pressure (close > open) and negative volume indicating selling pressure (close < open). ⯁ Color Coding for Clarity: - Positive Volume: Represented with a distinct color (`#ad9a2c`), making it easy to identify areas of buying interest. - Negative Volume: Highlighted with another color (`#ad2cad`), simplifying the detection of selling pressure. Volume Threshold and Bins: - The indicator allows users to set a volume threshold (`volume_level`) to highlight significant volume levels, with the default set at 70. - The number of bins (`numBins`) defines the granularity of the volume profile, with a higher number providing more detail. ⯁ Volume Profile Visualization: - The volume profile is plotted as a histogram, with the height of each bar proportional to the volume at that price level. This visualization helps in quickly assessing the strength of volume at various price points. ⯁ Interactive Labels and Threshold Indicators: - Labels: The indicator uses labels to mark significant volume levels, providing quick reference points for traders. - Threshold Lines: Lines are drawn at specified volume thresholds, with colors and widths dynamically adjusted based on the volume levels. ⯁ User Inputs: - Volume Threshold (`volume_level`): Sets the minimum volume required to highlight significant levels. - Number of Bins (`numBins`): Determines the resolution of the volume profile. - Line Width (`line_withd`): Specifies the width of the lines used in the visualization. The Volume Positive & Negative Levels indicator is a powerful tool for traders looking to gain deeper insights into market dynamics. By providing a clear visual representation of volume activity across different price levels, it helps traders identify key support and resistance zones, spot trends, and make more informed trading decisions. Whether you are a day trader or a swing trader, this indicator enhances your ability to analyze volume data effectively, improving your overall trading strategy.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
10
Bayesian Trend Indicator [ChartPrime]Bayesian Trend Indicator Overview: In probability theory and statistics, Bayes' theorem (alternatively Bayes' law or Bayes' rule), named after Thomas Bayes, describes the probability of an event, based on prior knowledge of conditions that might be related to the event. The "Bayesian Trend Indicator" is a sophisticated technical analysis tool designed to assess the direction of price trends in financial markets. It combines the principles of Bayesian probability theory with moving average analysis to provide traders with a comprehensive understanding of market sentiment and potential trend reversals. At its core, the indicator utilizes multiple moving averages, including the Exponential Moving Average (EMA), Simple Moving Average (SMA), Double Exponential Moving Average (DEMA), and Volume Weighted Moving Average (VWMA) . These moving averages are calculated based on user-defined parameters such as length and gap length, allowing traders to customize the indicator to suit their trading strategies and preferences. The indicator begins by calculating the trend for both fast and slow moving averages using a Smoothed Gradient Signal Function. This function assigns a numerical value to each data point based on its relationship with historical data, indicating the strength and direction of the trend. // Smoothed Gradient Signal Function sig(float src, gap)=> ta.ema(source >= src ? 1 : source >= src ? 0.9 : source >= src ? 0.8 : source >= src ? 0.7 : source >= src ? 0.6 : source >= src ? 0.5 : source >= src ? 0.4 : source >= src ? 0.3 : source >= src ? 0.2 : source >= src ? 0.1 : 0, 4) Next, the indicator calculates prior probabilities using the trend information from the slow moving averages and likelihood probabilities using the trend information from the fast moving averages . These probabilities represent the likelihood of an uptrend or downtrend based on historical data. // Define prior probabilities using moving averages prior_up = (ema_trend + sma_trend + dema_trend + vwma_trend) / 4 prior_down = 1 - prior_up // Define likelihoods using faster moving averages likelihood_up = (ema_trend_fast + sma_trend_fast + dema_trend_fast + vwma_trend_fast) / 4 likelihood_down = 1 - likelihood_up Using Bayes' theorem , the indicator then combines the prior and likelihood probabilities to calculate posterior probabilities, which reflect the updated probability of an uptrend or downtrend given the current market conditions. These posterior probabilities serve as a key signal for traders, informing them about the prevailing market sentiment and potential trend reversals. // Calculate posterior probabilities using Bayes' theorem posterior_up = prior_up * likelihood_up / (prior_up * likelihood_up + prior_down * likelihood_down) Key Features: ◆ The trend direction: To visually represent the trend direction , the indicator colors the bars on the chart based on the posterior probabilities. Bars are colored green to indicate an uptrend when the posterior probability is greater than 0.5 (>50%), while bars are colored red to indicate a downtrend when the posterior probability is less than 0.5 (<50%). ◆ Dashboard on the chart Additionally, the indicator displays a dashboard on the chart , providing traders with detailed information about the probability of an uptrend , as well as the trends for each type of moving average. This dashboard serves as a valuable reference for traders to monitor trend strength and make informed trading decisions. ◆ Probability labels and signals: Furthermore, the indicator includes probability labels and signals , which are displayed near the corresponding bars on the chart. These labels indicate the posterior probability of a trend, while small diamonds above or below bars indicate crossover or crossunder events when the posterior probability crosses the 0.5 threshold (50%). The posterior probability of a trend Crossover or Crossunder events ◆ User Inputs Source: Description: Defines the price source for the indicator's calculations. Users can select between different price values like close, open, high, low, etc. MA's Length: Description: Sets the length for the moving averages used in the trend calculations. A larger length will smooth out the moving averages, making the indicator less sensitive to short-term fluctuations. Gap Length Between Fast and Slow MA's: Description: Determines the difference in lengths between the slow and fast moving averages. A higher gap length will increase the difference, potentially identifying stronger trend signals. Gap Signals: Description: Defines the gap used for the smoothed gradient signal function. This parameter affects the sensitivity of the trend signals by setting the number of bars used in the signal calculations. In summary, the "Bayesian Trend Indicator" is a powerful tool that leverages Bayesian probability theory and moving average analysis to help traders identify trend direction, assess market sentiment, and make informed trading decisions in various financial markets.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
38
Volume Storm Trend [ChartPrime]The Volume Storm Trend (VST) indicator is a robust tool for traders looking to analyze volume momentum and trend strength in the market. By incorporating key volume-based calculations and dynamic visualizations, VST provides clear insights into market conditions. Components: Calculating the median of the source data. Volume Power Calculation: The indicator calculates the "heat power" and "cold power" by applying an Exponential Moving Average (EMA) to the median of volume data arrays. // ---------------------------------------------------------------------------------------------------------------------} // 𝙄𝙉𝘿𝙄𝘾𝘼𝙏𝙊𝙍 𝘾𝘼𝙇𝘾𝙐𝙇𝘼𝙏𝙄𝙊𝙉𝙎 // ---------------------------------------------------------------------------------------------------------------------{ max_val = 1000 src = close source = ta.median(src, len) heat.push(src > source ? (volume > max_val ? max_val : volume) : 0) heat.remove(0) cold.push(src < source ? (volume > max_val ? max_val : volume) : 0) cold.remove(0) heat_power = ta.ema(heat.median(), 10) cold_power = ta.ema(cold.median(), 10) Visualization: Gradient Colors: The indicator uses gradient colors to visualize bullish volume and bearish volume powers, providing a clear contrast between rising and falling trends. Bars Fill Color: The color fill between high and low prices changes based on whether the heat power is greater than the cold power. Bottom Line: A zero line with changing colors based on the dominance of heat or cold power. Weather Symbols: Visual indicators ("☀" for hot weather and "❄" for cold weather) appear on the chart when the heat and cold powers crossover, helping traders quickly identify trend changes. Inputs: Source: The input data source, typically the closing price. Median Length: The period length for calculating the median of the source. Default is 40. Volume Length: The period length for calculating the average volume. Default is 3. Show Weather: A toggle to display weather symbols on the chart. Default is false. Temperature Type: Allows users to choose between Celsius (°C) and Fahrenheit (°F) for temperature display. Show Weather Function: The `Show Weather?` function enhances the VST indicator by displaying weather symbols ("☀" for hot and "❄" for cold) when there are significant crossovers between heat power and cold power. This feature adds a visual cue for potential market tops and bottoms. When the market heats to a high temperature, it often indicates a potential top, signaling traders to consider exiting long positions or preparing for a reversal. Additional Features: Dynamic Table Display: A table displays the current "temperature" on the chart, indicating market heat based on the calculated heat and cold powers. The Volume Storm Trend indicator is a powerful tool for traders looking to enhance their market analysis with volume and momentum insights, providing a clear and visually appealing representation of key market dynamics.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
7
Liquidations [ChartPrime]Liquidations Indicator: The Liquidations indicator is a powerful tool designed to help traders identify significant liquidation levels in financial markets. By analyzing volume data over a specified lookback period, the indicator highlights potential areas where market participants with high leverage positions may face liquidation, providing valuable insights into market dynamics. Usage: Traders can use the Liquidations indicator to: ◈ Identify liquidity grab opportunities: Liquidation levels often attract price action as market participants with leveraged positions face the risk of forced liquidation. Traders can anticipate price movements as the market aims to trigger these stops, potentially leading to rapid price movements or reversals. ◈ Confirm trend strength: A cluster of liquidation levels in the same direction as the prevailing trend may confirm the strength of the trend, while divergences between liquidation levels and price movements may signal potential trend reversals. Settings: ◈ Previous Value Bars Back: Specifies the number of previous bars used in calculating the liquidation levels. ◈ Show Leverage: Allows users to selectively display liquidation levels for different leverage multiples, including 5x, 10x, 25x, 50x, and 100x. ◈ Liquidation Levels Width: Sets the width of the lines representing liquidation levels on the chart. ◈ Short Liquidations Color: Specifies the color of the lines representing short liquidation levels. ◈ Long Liquidations Color: Specifies the color of the lines representing long liquidation levels. ◈ Bar Color: Sets the color of the background bar when the indicator is active. Visual Representation: ◈ Liquidation levels are plotted as horizontal lines on the chart, with different colors representing short and long liquidation levels. ◈ Each liquidation level is labeled with the corresponding leverage multiple (e.g., 5x, 10x, etc.). A dashboard displays the active liquidation levels for each leverage multiple, allowing traders to quickly assess the current market conditions. ◈ Time Window allows users to cut off unnecessary part of the chart and concentrate on a current active part of the chart to make better trading decisions: Interpretation: Market participants tend to place stop-loss orders near liquidation levels , creating clusters of pending orders. As price approaches these levels, it may trigger a cascade of stop-loss orders, providing liquidity for market orders and potentially leading to rapid price movements in the opposite direction. Traders can anticipate price reversals or accelerations as price interacts with liquidation levels, using them as reference points for identifying potential entry or exit opportunities. Note: While the Liquidations indicator provides valuable insights into market dynamics, traders should use it in conjunction with other technical analysis tools and risk management strategies to make informed trading decisions.
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
7
Relative Average Extrapolation [ChartPrime]Relative Average Extrapolation (ChartPrime) is a new take on session averages, like the famous vwap . This indicator leverages patterns in the market by leveraging average-at-time to get a footprint of the average market conditions for the current time. This allows for a great estimate of market conditions throughout the day allowing for predictive forecasting. If we know what the market conditions are at a given time of day we can use this information to make assumptions about future market conditions. This is what allows us to estimate an entire session with fair accuracy. This indicator works on any intra-day time frame and will not work on time frames less than a minute, or time frames that are a day or greater in length. A unique aspect of this indicator is that it allows for analysis of pre and post market sessions independently from regular hours. This results in a cleaner and more usable vwap for each individual session. One drawback of this is that the indicator utilizes an average for the length of a session. Because of this, some after hour sessions will only have a partial estimation. The average and deviation bands will work past the point where it has been extrapolated to in this instance however. On low time frames due to the limited number of data points, the indicator can appear noisy. Generally crypto doesn't have a consistent footprint making this indicator less suitable in crypto markets. Because of this we have implemented other weighting schemes to allow for more flexibility in the number of use cases for this indicator. Besides volume weighting we have also included time, volatility, and linear (none) weighting. Using any one of these weighting schemes will transform the vwap into a wma, volatility adjusted ma, or a simple moving average. All of the style are still session period and will become longer as the session progresses. Relative Average Extrapolation (ChartPrime) works by storing data for each time step throughout the day by utilizing a custom indexing system. It takes the a key , ie hour/minute, and transforms it into an array index to stor the current data point in its unique array. From there we can take the current time of day and advance it by one step to retrieve the data point for the next bar index. This allows us to utilize the footprint the extrapolate into the future. We use the relative rate of change for the average, the relative deviation, and relative price position to extrapolate from the current point to the end of the session. This process is fast and effective and possibly easier to use than the built in map feature. If you have used vwap before you should be familiar with the general settings for this indicator. We have made a point to make it as intuitive for anyone who is already used to using the standard vwap. You can pick the source for the average and adjust/enable the deviation bands multipliers in the settings group. The average period is what determines the number of days to use for the average-at-time. When it is set to 0 it will use all available data. Under "Extrapolation" you will find the settings for the estimation. "Direction Sensitivity" adjusts how sensitive the indicator is to the direction of the vwap. A higher number will allow it to change directions faster, where a lower number will make it more stable throughout the session. Under the "Style" section you will find all of the color and style adjustments to customize the appearance of this indicator. Relative Average Extrapolation (ChartPrime) is an advanced and customizable session average indicator with the ability to estimate the direction and volatility of intra-day sessions. We hope you will find this script fascinating and useful in your trading and decision making. With its unique take on session weighting and forecasting, we believe it will be a secret weapon for traders for years to come. Enjoy
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
5
Fibonacci Archer Box [ChartPrime]Fibonacci Archer Box (ChartPrime) is a full featured Fibonacci box indicator that automatically plots based on pivot points. This indicator plots retracement levels, time lines, fan lines, and angles. Each one of these features are fully customizable with the ability to disable individual features. A unique aspect to this implementation is the ability to set targets based on retracement levels and time zones. This is set to 0.618 by default but you can pick any Fibonacci zone you like. Also included are markings that show you when Fibonacci levels are met or exceeded. These moments are plotted on the chart as colored dots that can be enabled or disabled. Along with these markings are crosses that can be shown when targets are hit. Both of these markings are colored with the related Fibonacci level colors. When there is a zig-zag, this indicator will test to see if the zig-zag meets the criteria set up by the user before plotting a new Fibonacci box. You can pick from either higher highs or lower highs for bearish patterns, and higher lows or lower lows for bullish patterns. Both patterns can be set to use both when finding new boxes if you want to make it more sensitive. You also have the option to filter based on minimum and maximum size. If the box isn't within the selected size range, it will simply be ignored. The pivot levels can be configured to use either candle wicks or candle bodies. By default this is configured to use candle wick with a lookforward of 5 and lookback of 10. We have included alerts for Fibonacci level crosses, Fibonacci time crosses, and target hits. All alerts are found in the add alert section built into tradingview to make alert creation as easy as possible. Each alert is labeled with their correct names to make navigation simple. W.D. Gann, a renowned figure in the world of trading and market analysis, is often questioned for his use of Fibonacci levels in his strategies. However, evidence points to the fact that Gann did not directly employ Fibonacci price levels in his work. Instead, Gann had his unique approach, dividing price ranges into thirds, eighths, and other fractions, which, although somewhat aligning with Fibonacci levels, are not exact matches. It is clear that Gann was familiar with Fibonacci and the golden ratio, as references to them appear in his recommended reading list and some of his writings. Despite this awareness, Gann chose not to incorporate Fibonacci levels explicitly in his methodologies, preferring instead to use his divisions of price and time. Notably, Gann's emphasis on the 50% level—a marker not associated with Fibonacci numbers—further illustrates his departure from Fibonacci usage. This level, despite its popularity among some Fibonacci enthusiasts, does not stem from Fibonacci's sequence. This is why we opted to call this indicator Fibonacci Archer Box instead of a Gann Box as we didn't feel like it was appropriate. In summary, the Fibonacci Archer Box (ChartPrime) is a tool that incorporates Fibonacci retracements and projections with an automated pivot point-based plotting system. It allows for customization across various features including retracement levels, timelines, fan lines, and angles, and integrates visual cues for level crosses and target hits. While it acknowledges the methodologies of W.D. Gann, it distinctively utilizes Fibonacci techniques, providing a straightforward tool for market analysis. We hope you enjoy using this indicator as much as we enjoyed making it! Enjoy
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
8
Composite Trend Oscillator [ChartPrime]CODE DUELLO: Have you ever stopped to wonder what the underlying filters contained within complex algorithms are actually providing for you? Wouldn't it be nice to actually visually inspect for that? Those would require some kind of wild west styled quick draw duel or some comparison method as a proper 'code duello'. Then it can be determined which filter can 'draw' the quickest from it's computational holster with the least amount of lag and smoothness. In Pine we can do so, discovering how beneficial that would be. This can be accomplished by quickly switching from one filter to another by input() back and forth, requiring visual memory. A better way could be done by placing two indicators added to the chart and then eventually placed into one indicator pane on top of each other. By adding a filter() helper function that calls other moving average functions chosen for comparison, it can put to the test which moving average is the best drawing filter suited to our expected needs. PhiSmoother was formerly debuted and now it is utilized in a more complex environment in a multitude of ways along side other commonly utilized filters. Now, you the reader, get to judge for yourself... FILTER VERSATILITY: Having the capability to adjust between various smoothing methods such as PhiSmoother, TEMA, DEMA, WMA, EMA, and SMA on historical market data within the code provides an advantage. Each of these filter methods offers distinct advantages and hinderances. PhiSmoother stands out often by having superb noise rejection, while also being able to manipulate the fine-tuning of the phase or lag of the indicator, enhancing responsiveness to price movements. The following are more well-known classic filters. TEMA (Triple Exponential Moving Average) and DEMA (Double Exponential Moving Average) offer reduced transient response times to price changes fluctuations. WMA (Weighted Moving Average) assigns more weight to recent data points, making it particularly useful for reduced lag. EMA (Exponential Moving Average) strikes a balance between responsiveness and computational efficiency, making it a popular choice. SMA (Simple Moving Average) provides a straightforward calculation based on the arithmetic mean of the data. VWMA and RMA have both been excluded for varying reasons, both being unworthy of having explanation here. By allowing for adjustment refinements between these filter methods, traders may garner the flexibility to adapt their analysis to different market dynamics, optimizing their algorithms for improved decision-making and performance on demand. INDICATOR INTRODUCTION: ChartPrime's Composite Trend Oscillator operates as an oscillator based on the concept of a moving average ribbon. It utilizes up to 32 filters with progressively longer periods to assess trend direction and strength. Embedded within this indicator is an alternative view that utilizes the separation of the ribbon filaments to assess volatility. Both versions are excellent candidates for trend and momentum, both offering visualization of polarity, directional coloring, and filter crossings. Anyone who has former experience using RSI or stochastics may have ease of understanding applying this to their chart. COMPOSITE CLUSTER MODES EXPLAINED: In Trend Strength mode, the oscillator behavior signifies market direction and movement strength. When the oscillator is rising and above zero, the market is within a bullish phase, and visa versa. If the signal filter crosses the composite trend, this indicates a potential dynamic shift signaling a possible reversal. When the oscillator is teetering on its extremities, the market is more inclined to reverse later. With Volatility mode, the oscillator undergoes a transformation, displaying an unbounded oscillator driven by market volatility. While it still employs the same scoring mechanism, it is now scaled according to the strength of the market move. This can aid with identification of ranging scenarios. However, one side effect is that the oscillator no longer has minimum or maximum boundaries. This can still be advantageous when considering divergences. NOTEWORTHY SETTINGS FEATURES: The following input settings described offer comprehensive control over the indicator's behavior and visualization. Common Controls: Price Source Selection - The indicator offers flexibility in choosing the price source for analysis. Traders can select from multiple options. Composite Cluster Mode - Choose between "Trend Strength" and "Volatility" modes, providing insights into trend directionality or volatility weighting. Cluster Filter and Length - Selects a filter for the cluster composition. This includes a length parameter adjustment. Cluster Options: Cluster Dispersion - Users can adjust the separation between moving averages in the cluster, influencing the sensitivity of the analysis. Cluster Trimming - By modifying upper and lower trim parameters, traders can adjust the sensitivity of the moving averages within the cluster, enhancing its adaptability. PostSmooth Filter and Length - Choose a filter to refine the composite cluster's post-smoothing with a length parameter adjustment. Signal Filter and Length - Users can select a filter for the lagging signal plot, also having a length parameter adjustment. Transition Easing - Sensitivity adjustment to influence the transition between bullish and bearish colors. Enjoy
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
15
Deep Volume [ChartPrime]Deep Volume is an indicator designed to give you high fidelity volume information. It does this by utilizing real time data provided by Tradingview to generate a wide range of metrics. We have included a convenient column chart to visualize the polarity of the volume, and a table to see the real time data. This works by utilizing pine script's varip feature to get information within candles. This is convenient as it allows users to get lower time frame information without the use of ltf functions. The result is seconds level data with out the need to be on a lower time frame chart. As a result, as you increase the time frame of the chart the updates will become slower. This is because Tradingview doesn't update the chart information as frequently on higher time frames as there isn't as much of a need. This indicator works on real time data so to compensate for this we generate a simulated history based on candle structure. This helps in estimating the state of the moving average before the real time data starts. As a result the estimated history isn't as accurate and should be treated as such. That being said it is nice to have an estimation when the indicator is first loaded onto the chart. Finally we have included a cumulative volume comparison that shows you how much volume there is compared to the average cumulative volume for the day. This metric utilizes a gradient to help you interpret the information at a glance. Low daily volume is represented with grays by default, while normal volume and greater is represented with a green color by default. The table is partitioned into two sections; tick data, and average data. On the left you will see color coded information based on the direction of the move. On the left, the information is color coded based on the average movement direction. You can control how much information is displayed in the table within the indicators settings. This is defaulted to 20 but it can be as long or short as you like. Every new candle open the far left of the table you will see a 🗘 symbol and at the start of a new session you will see a 🗓 symbol. The included metrics are as follows: Time: This displays the time of the real time data update. Time Delta: This displays the elapsed time between updates. Order Size: This is the volume times the price change between updates. Volume: This is the volume change for the update. Price Change: This is the change in price since the last update. Price: This is the price of the asset at the time of the update. Speed of Tape: This is the average time delta. Use this to see how quickly the market is moving. Average Order Size: This is the average order size. Average Volume: This is the average volume Volume Ratio: This the the ratio of bullish to bearish volume as expressed by a percent. 100% is all bullish within the window and -100% is all bearish within the window. Average Price Change: This is the average price change within the window. Sensitivity: This is a volatility metric designed to show you the price change per 1 volume unit. Relative Sensitivity: This is a volatility metric designed to show you the average price change per average volume. Enjoy
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
7
Monte Carlo Future Moves [ChartPrime]ORIGINS AND HISTORICAL BACKGROUND: Prior to the the advent of the Monte Carlo method, examining well-understood deterministic problems via simulation generally utilized statistical sampling to gauge uncertainty estimations. The Monte Carlo (MC) approach inverts this paradigm by modeling with probabilistic metaheuristics to address deterministic problems. Addressing Buffon's needle problem, an early form of the Monte Carlo method estimated π (3.14159) by dropping needles on a floor. Later, the modern MC inception primarily began when Stanislaw Ulam was playing solitaire games while experiencing illness and recovery. Ulam further developed, applied, and ascribed "Monte Carlo" as a classified code name to maintain a level of secrecy for the modern method applications during collaborative investigations on neutron diffusion and collision intricacies with John von Neumann. Despite having relevant data, physicist's conventional deterministic mathematical methods were unable to solve mysterious "neutronion problems". Monte Carlo filled in the gaps necessary to resolve this perplexing neutron problem with innovative statistics, and the resilient MC continues onward to have diverse application in many fields of science. MC also extends into the realm of relevance within finance. APPLICATION IN FINANCE: Building on its historical roots, the Monte Carlo method's transition into finance opened new avenues for risk assessment and predictive analysis. In financial markets, characterized by uncertainty and complex variables, this method offers a powerful tool for simulating a wide range of scenarios and assessing probabilities of different outcomes. By employing probabilistic models to predict price movements, the Monte Carlo method helps in creating more resilient and informed trading strategies. This approach is particularly valuable in options pricing, portfolio management, and risk assessment, where understanding the range of potential outcomes is crucial for making sound investment decisions. Our indicator utilizes this methodology, blending traditional financial analysis with advanced statistical techniques. THE INDICATOR: The Monte Carlo Future Moves (ChartPrime) indicator is designed to predict future price movements. It simulates various possible price paths, showing the likelihood of different outcomes. We have designed it to be simple to use and understand by displaying lines indicating the most likely bullish and bearish outcomes. The arrows point to these areas making it intuitive to understand. Also included is extreme price levels shown in blue and yellow. This is the most likely extreme range that the price will move to. The outcome distribution is there to show you the range of outcomes along with a visual representation of the possible future outcomes. To make things more user friendly we have also included a representation of this distribution as a background heatmap. The brighter the price level, the more likely the price will end at that level. Finally, we have also included a market bias indication on the side that shows you the general bullish/bearish probabilities. HOW TO USE: To use this indicator you want to first assess the market bias. From there you want to target the most likely polar outcome. You can use the range of outcomes to assess your risk and set a stop within a reasonable range of the desired target. By default the indicator projects 10 steps into the future, however this can be easily adjusted in the settings. Generally this indicator excels at mid-term estimations and may yield inconclusive results if the prediction period is too short or too long. You can change the granularity of the outcomes to give you a more or less detailed view of the future. That being said, a lower resolution can make the predictions less useful while a higher resolution can give you a less useful picture. If you decide to use a higher resolution we have included an option to smooth the final result. This is intended to reduce the uncertainty and noise in the predicted outcomes. It is advised to use the minimum level of smoothing possible as a high level of smoothing will greatly reduce the accuracy. INPUT SECTION: Derivative Source changes how the indicator sees the price movements. When you set this to Candle it will use the difference between the open and close of each candle. If set to Move, it will use the difference between closing prices. If you are in a market with gaps, you might want to use Candle as this will prevent the indicator from seeing gaps. Number of Simulations is a crucial setting as it is the core of this indicator. This determines the number of simulations the indicator will use to get its final result. By default it is set to 1000 as we feel like that is around the minimum number of simulations required to get a reasonable output while maintaining stability. In tests the maximum number of simulations we have been able to consistently achieve is 2000. Lookback is the number of historical candles to account for. A lookback that is too short will not have enough data to accurately assess the likelihood of a price movement, while a period that is too large can make the data less relevant. By default this is set to 1000 as we feel like this is a reasonable tradeoff between volume of data and relevance. Steps Into Future is the prediction period. By default we have picked a period of 10 steps as this has a good balance between accuracy and usability. The more steps into the future you go, the more uncertain the future outcome will be. Outcome Granularity controls the precision of the simulated outcomes. By default this is set to 40 as its a good balance between resolution and accuracy. Outcome Smoothing allows you to smooth the outcome distribution. By default this is set to 0 as it is generally not needed for lower resolutions. Smoothing levels beyond 2 are not recommended as it will negatively impact the output. Returns Granularity controls the level of definition in the collected price movements. This directly impacts indicator performance and is set to 50 by default because its a good balance between fidelity and usability. When this number is too small, the simulations will be less accurate while numbers too large will negatively impact the probabilities of the movements. Drift is the trend component in the simulation. This adds the directionality of the simulations by biasing the movements in the current direction of the market. We have included both the standard formula for drift and linear regression. Both methods are well suited for simulating future price movements and have their own advantages. The drift period is set to 100 by default as its a good balance between current and historical directionality. You may want to increase or decrease this number depending on the current market conditions but it is advised to use a period that isn't too small. If your period is too small it can skew the outcomes too much resulting in poor performance. When this is set to 0 it will use the same period as your lookback. Volatility Adjust , adjusts the simulation to include current volatility. This makes sure that the price movements in the simulation reflects the current market conditions better by making sure that each price move is at least a minimum size. Returns Style allows you to pick between using percent moves and log returns. We have opted to make percent move the default as it is more intuitive for beginners however both settings yield similar results. Log returns can be less cpu intensive so it might be desirable for longer term predictions. Precision adjusts the rounding of used when collecting the frequency of price movement sizes. By default this is set to 4 as its is fairly accurate without impacting performance too much. A larger number will make the indicator more precise but at the cost of cpu time. Precision levels that are too small can greatly reduce the accuracy of the simulation and even break the indicator all together. Update Every Bar allows you to recalculate the prediction every bar and is there for you if you want to strictly use the market bias. It is not recommended to enable this feature but it is there for flexibility. Side of Chart allows you to pick what side of the price action you want the visuals to be on. When its set to the right everything will be to the right of the starting point and when its set to Left it will position everything to the left of the starting point. Move Visualization is there to give you an arrow to the most likely bullish and bearish moves. It is meant as a visual aid and visualization tool. The color of these arrows use the same colors as the distribution. Most Likely Move is a horizontal line that indicates the most likely move. It is positioned in the same location as the Move Visualization. Standard Deviation is horizontal lines at the extremities of the simulated price action. These represent the most likely range of the future outcomes. You can adjust the multiplier of the standard deviation but by default it is set to 2. Most Likely Direction is a vertical bar that shows you the sum of the up and down probabilities. It is there to show you the bias of the outcomes and guide you in decision making. Max Probability Zone is a horizontal line that highlights the location of the highest probability move. You can think of it almost like the POC in a volume distribution but in this case it is the "most likely" single outcome. Outcome Distribution allows you to toggle the distribution on or off. This is the distribution of all of the simulated outcomes. You can toggle the scale width of the distribution to fit your visual style. Distribution Text toggles the probability text inside of the distribution bars. When you have a large number for the outcome granularity this text may not be visible and you may want to disable this feature. Background is a heatmap of the outcome distribution. This allows you to visualize the underlying distribution without the need for the distribution histogram. The brighter the color, the more likely the outcome is for that level. It can be useful for visualizing the range of possible outcomes. Starting Line is simply a horizontal line indicating the starting point of the simulation. It just the opening price for the starting position. Extend Lines allows you to extend the lines and background past the prediction period. CONCLUSION: With its intuitive visuals and flexible settings, the Monte Carlo Future Moves (ChartPrime) indicator is practice and easy to use. It brings clarity to price movement predictions, helping you to build confidence in your strategies. This indicator not only reflects the evolution of technical analysis but also touches on data-driven insights. Enjoy
אינדיקטור Pine Script®
מאת ‎ChartPrime‎
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