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Dynamic Volatility EnvelopeDynamic Volatility Envelope: Indicator Overview The Dynamic Volatility Envelope is an advanced, multi-faceted technical indicator designed to provide a comprehensive view of market trends, volatility, and potential future price movements. It centers around a customizable linear regression line, enveloped by dynamically adjusting volatility bands. The indicator offers rich visual feedback through gradient coloring, candle heatmaps, a background volatility pulse, and an on-chart trend strength meter. Core Calculation Mechanism Linear Regression Core : -A central linear regression line is calculated based on a user-defined source (e.g., close, hl2) and lookback period. -The regression line can be optionally smoothed using an Exponential Moving Average (EMA) to reduce noise. -The slope of this regression line is continuously calculated to determine the current trend direction and strength. Volatility Channel : -Dynamic bands are plotted above and below a central basis line. This basis is typically the calculated regression line but shifts to an EMA in Keltner mode. -The width of these bands is determined by market volatility, using one of three user-selectable modes: ATR Mode : Bandwidth is a multiple of the Average True Range (ATR). Standard Deviation Mode : Bandwidth is a multiple of the Standard Deviation of the source data. Keltner Mode (EMA-based ATR) : ATR-based bands are plotted around a central Keltner EMA line, offering a smoother channel. The channel helps identify dynamic support and resistance levels and assess market volatility. Future Projection : The indicator can project the current regression line and its associated volatility bands into the future for a user-defined number of bars. This provides a visual guide for potential future price pathways based on current trend and volatility characteristics. Candle Heatmap Coloring : -Candle bodies and/or wicks/borders can be colored based on the price's position within the upper and lower volatility bands. -Colors transition in a gradient from bearish (when price is near the lower band) through neutral (mid-channel) to bullish (when price is near the upper band), providing an intuitive visual cue of price action relative to the dynamic envelope. Background Volatility Pulse : The chart background color can be set to dynamically shift based on a ratio of short-term to long-term ATR. This creates a "pulse" effect, where the background subtly changes color to indicate rising or falling market volatility. Trend Strength Meter : An on-chart text label displays the current trend status (e.g., "Strong Bullish", "Neutral", "Bearish") based on the calculated slope of the regression line relative to user-defined thresholds for normal and strong trends. Key Features & Components -Dynamic Linear Regression Line: Core trend indicator with optional smoothing and slope-based gradient coloring. -Multi-Mode Volatility Channel: Choose between ATR, Standard Deviation, or Keltner (EMA-based ATR) calculations for band width. -Customizable Vertical Gradient Channel Fills: Visually distinct fills for upper and lower channel segments with user-defined top/bottom colors and gradient spread. -Future Projection: Extrapolates regression line and volatility bands to forecast potential price paths. -Price-Action Based Candle Heatmap: Intuitive candle coloring based on position within the volatility channel, with adjustable gradient midpoint. -Volatility-Reactive Background Gradient: Subtle background color shifts to reflect changes in market volatility. -On-Chart Trend Strength Meter: Clear textual display of current trend direction and strength. -Extensive Visual Customization: Fine-tune colors, line styles, widths, and gradient aggressiveness for most visual elements. -Comprehensive Tooltips: Detailed explanations for every input setting, ensuring ease of use and understanding. Visual Elements Explained Regression Line : The primary trend line. Its color dynamically changes (e.g., green for uptrend, red-pink for downtrend, neutral for flat) based on its slope, with smooth gradient transitions. Volatility Channel : Upper & Lower Bands : These lines form the outer boundaries of the envelope, acting as dynamic support and resistance levels. Channel Fill : The area between the band center and the outer bands is filled with a vertical gradient. For example, the upper band fill might transition from a darker green near the center to a lighter green at the upper band. Band Borders : The lines outlining the upper and lower bands, with customizable color and width. Future Projection Lines & Fill : Projected Regression Line : An extension of the current regression line into the future, typically styled differently (e.g., dashed). Projected Channel Bands : Extensions of the upper and lower volatility bands. Projected Area Fill : A semi-transparent fill between the projected upper and lower bands. Candle Heatmap Coloring : When enabled, candles are colored based on their closing price's relative position within the channel. Bullish colors appear when price is in the upper part of the channel, bearish in the lower, and neutral in the middle. Users can choose to color the entire candle body or just the wicks and borders. Background Volatility Pulse : The chart's background color subtly shifts (e.g., between a calm green and an agitated red-pink) to reflect the current volatility regime. Trend Strength Meter : A text label (e.g., "TREND: STRONG BULLISH") positioned on the chart, providing an at-a-glance summary of the trend. Configuration Options Users can tailor the indicator extensively via the settings panel, with options logically grouped: Core Analysis Engine : Adjust regression source data, lookback period, and EMA smoothing for the regression line. Regression Line Visuals : Control visibility, line width, trend-based colors (uptrend, downtrend, flat), slope thresholds for trend definition, strong slope multiplier (for Trend Meter), and color gradient sharpness. Volatility Channel Configuration : Select band calculation mode (ATR, StdDev, Keltner), set relevant periods and multipliers. Customize colors for vertical gradient fills (upper/lower, top/bottom), border line colors, widths, and the gradient spread factor for fills. Future Projection Configuration : Toggle visibility, set projection length (number of bars), line style, and colors for projected regression and band areas. Appearance & Candle Theme : Set default bull/bear candle colors, enable/disable candle heatmap, choose if body color matches heatmap, and configure heatmap gradient target colors (bull, neutral, bear) and the gradient's midpoint. Background Volatility Pulse : Enable/disable the background effect and configure short/long ATR periods for the volatility calculation. Trend Strength Meter : Enable/disable the meter, and choose its on-chart position and text size. Interpretation Notes -The Regression Line is the primary indicator of trend direction. Its slope and color provide immediate insight. -The Volatility Bands serve as dynamic support and resistance zones. Price approaching or touching these bands may indicate potential turning points or breakouts. The width of the channel itself reflects market volatility – widening suggests increasing volatility, while narrowing suggests consolidation. Future Projections are not predictions but rather an extension of current conditions. They can help visualize potential areas where price might interact with projected support/resistance if the current trend and volatility persist. Candle Heatmap Coloring offers a quick visual assessment of where price is trading within the dynamic envelope, highlighting strength or weakness relative to the channel. The Background Volatility Pulse gives a contextual feel for overall market agitation or calmness. This indicator is designed to be a comprehensive analytical tool. Its signals and visualizations are best used in conjunction with other technical analysis techniques, price action study, and robust risk management practices. It is not intended as a standalone trading system. Risk Disclaimer Trading and investing in financial markets involve substantial risk of loss and is not suitable for every investor. The Dynamic Volatility Envelope indicator is provided for analytical and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose. The developers assume no liability for any financial losses incurred based on the use of this indicator.
Pine Script® göstergesi
sizzlinsoft tarafından
PhenLabs - Market Fluid Dynamics📊 Market Fluid Dynamics - Version: PineScript™ v6 📌 Description The Market Fluid Dynamics - Phen indicator is a new thinking regarding market analysis by modeling price action, volume, and volatility using a fluid system. It attempts to offer traders control over more profound market forces, such as momentum (speed), resistance (thickness), and buying/selling pressure. By visualizing such dynamics, the script allows the traders to decide on the prevailing market flow, its power, likely continuations, and zones of calmness and chaos, and thereby allows improved decision-making. This measure avoids the usual difficulty of reconciling multiple, often contradictory, market indications by including them within a single overarching model. It moves beyond traditional binary indicators by providing a multi-dimensional view of market behavior, employing fluid dynamic analogs to describe complex interactions in an accessible manner. 🚀 Points of Innovation Integrated Fluid Dynamics Model: Combines velocity, viscosity, pressure, and turbulence into a single indicator. Normalized Metrics: Uses ATR and other normalization techniques for consistent readings across different assets and timeframes. Dynamic Flow Visualization: Main flow line changes color and intensity based on direction and strength. Turbulence Background: Visually represents market stability with a gradient background, from calm to turbulent. Comprehensive Dashboard: Provides an at-a-glance summary of key fluid dynamic metrics. Multi-Layer Smoothing: Employs several layers of EMA smoothing for a clearer, more responsive main flow line. 🔧 Core Components Velocity Component: Measures price momentum (first derivative of price), normalized by ATR. It indicates the speed and direction of price changes. Viscosity Component: Represents market resistance to price changes, derived from ATR relative to its historical average. Higher viscosity suggests it’s harder for prices to move. Pressure Component: Quantifies the force created by volume and price range (close - open), normalized by ATR. It reflects buying or selling pressure. Turbulence Detection: Calculates a Reynolds number equivalent to identify market stability, ranging from laminar (stable) to turbulent (chaotic). Main Flow Indicator: Combines the above components, applying sensitivity and smoothing, to generate a primary signal of market direction and strength. 🔥 Key Features Advanced Smoothing Algorithm: Utilizes multiple EMA layers on the raw flow calculation for a fluid and responsive main flow line, reducing noise while maintaining sensitivity. Gradient Flow Coloring: The main flow line dynamically changes color from light to deep blue for bullish flow and light to deep red for bearish flow, with intensity reflecting flow strength. This provides an immediate visual cue of market sentiment and momentum. Turbulence Level Background: The chart background changes color based on calculated turbulence (from calm gray to vibrant orange), offering an intuitive understanding of market stability and potential for erratic price action. Informative Dashboard: A customizable on-screen table displays critical metrics like Flow State, Flow Strength, Market Viscosity, Turbulence, Pressure Force, Flow Acceleration, and Flow Continuity, allowing traders to quickly assess current market conditions. Configurable Lookback and Sensitivity: Users can adjust the base lookback period for calculations and the sensitivity of the flow to viscosity, tailoring the indicator to different trading styles and market conditions. Alert Conditions: Pre-defined alerts for flow direction changes (positive/negative crossover of zero line) and detection of high turbulence states. 🎨 Visualization Main Flow Line: A smoothed line plotted below the main chart, colored blue for bullish flow and red for bearish flow. The intensity of the color (light to dark) indicates the strength of the flow. This line crossing the zero line can signal a change in market direction. Zero Line: A dotted horizontal line at the zero level, serving as a baseline to gauge whether the market flow is positive (bullish) or negative (bearish). Turbulence Background: The indicator pane’s background color changes based on the calculated turbulence level. A calm, almost transparent gray indicates low turbulence (laminar flow), while a more vibrant, semi-transparent orange signifies high turbulence. This helps traders visually assess market stability. Dashboard Table: An optional table displayed on the chart, showing key metrics like ‘Flow State’, ‘Flow Strength’, ‘Market Viscosity’, ‘Turbulence’, ‘Pressure Force’, ‘Flow Acceleration’, and ‘Flow Continuity’ with their current values and qualitative descriptions (e.g., ‘Bullish Flow’, ‘Laminar (Stable)’). 📖 Usage Guidelines Setting Categories Show Dashboard - Default: true; Range: true/false; Description: Toggles the visibility of the Market Fluid Dynamics dashboard on the chart. Enable to see key metrics at a glance. Base Lookback Period - Default: 14; Range: 5 - (no upper limit, practical limits apply); Description: Sets the primary lookback period for core calculations like velocity, ATR, and volume SMA. Shorter periods make the indicator more sensitive to recent price action, while longer periods provide a smoother, slower signal. Flow Sensitivity - Default: 0.5; Range: 0.1 - 1.0 (step 0.1); Description: Adjusts how much the market viscosity dampens the raw flow. A lower value means viscosity has less impact (flow is more sensitive to raw velocity/pressure), while a higher value means viscosity has a greater dampening effect. Flow Smoothing - Default: 5; Range: 1 - 20; Description: Controls the length of the EMA smoothing applied to the main flow line. Higher values result in a smoother flow line but with more lag; lower values make it more responsive but potentially noisier. Dashboard Position - Default: ‘Top Right’; Range: ‘Top Right’, ‘Top Left’, ‘Bottom Right’, ‘Bottom Left’, ‘Middle Right’, ‘Middle Left’; Description: Determines the placement of the dashboard on the chart. Header Size - Default: ‘Normal’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’, ‘Huge’; Description: Sets the text size for the dashboard header. Values Size - Default: ‘Small’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’; Description: Sets the text size for the metric values in the dashboard. ✅ Best Use Cases Trend Identification: Identifying the dominant market flow (bullish or bearish) and its strength to trade in the direction of the prevailing trend. Momentum Confirmation: Using the flow strength and acceleration to confirm the conviction behind price movements. Volatility Assessment: Utilizing the turbulence metric to gauge market stability, helping to adjust position sizing or avoid choppy conditions. Reversal Spotting: Watching for divergences between price and flow, or crossovers of the main flow line above/below the zero line, as potential reversal signals, especially when combined with changes in pressure or viscosity. Swing Trading: Leveraging the smoothed flow line to capture medium-term market swings, entering when flow aligns with the desired trade direction and exiting when flow weakens or reverses. Intraday Scalping: Using shorter lookback periods and higher sensitivity to identify quick shifts in flow and turbulence for short-term trading opportunities, particularly in liquid markets. ⚠️ Limitations Lagging Nature: Like many indicators based on moving averages and lookback periods, the main flow line can lag behind rapid price changes, potentially leading to delayed signals. Whipsaws in Ranging Markets: During periods of low volatility or sideways price action (high viscosity, low flow strength), the indicator might produce frequent buy/sell signals (whipsaws) as the flow oscillates around the zero line. Not a Standalone System: While comprehensive, it should be used in conjunction with other forms of analysis (e.g., price action, support/resistance levels, other indicators) and not as a sole basis for trading decisions. Subjectivity in Interpretation: While the dashboard provides quantitative values, the interpretation of “strong” flow, “high” turbulence, or “significant” acceleration can still have a subjective element depending on the trader’s strategy and risk tolerance. 💡 What Makes This Unique Fluid Dynamics Analogy: Its core strength lies in translating complex market interactions into an intuitive fluid dynamics framework, making concepts like momentum, resistance, and pressure easier to visualize and understand. Market View: Instead of focusing on a single aspect (like just momentum or just volatility), it integrates multiple factors (velocity, viscosity, pressure, turbulence) to provide a more comprehensive picture of market conditions. Adaptive Visualization: The dynamic coloring of the flow line and the turbulence background provide immediate, adaptive visual feedback that changes with market conditions. 🔬 How It Works Price Velocity Calculation: The indicator first calculates price velocity by measuring the rate of change of the closing price over a given ‘lookback’ period. The raw velocity is then normalized by the Average True Range (ATR) of the same lookback period. Normalization enables comparison of momentum between assets or timeframes by scaling for volatility. This is the direction and speed of initial price movement. Viscosity Calculation: Market ‘viscosity’ or resistance to price movement is determined by looking at the current ATR relative to its longer-term average (SMA of ATR over lookback * 2). The further the current ATR is above its average, the lower the viscosity (less resistance to price movement), and vice-versa. The script inverts this relationship and bounds it so that rising viscosity means more resistance. Pressure Force Measurement: A ‘pressure’ variable is calculated as a function of the ratio of current volume to its simple moving average, multiplied by the price range (close - open) and normalized by ATR. This is designed to measure the force behind price movement created by volume and intraday price thrusts. This pressure is smoothed by an EMA. Turbulence State Evaluation: A equivalent ‘Reynolds number’ is calculated by dividing the absolute normalized velocity by the viscosity. This is the proclivity of the market to move in a chaotic or orderly fashion. This ‘reynoldsValue’ is smoothed with an EMA to get the ‘turbulenceState’, which indicates if the market is laminar (stable), transitional, or turbulent. Main Flow Derivation: The ‘rawFlow’ is calculated by taking the normalized velocity, dampening its impact based on the ‘viscosity’ and user-input ‘sensitivity’, and orienting it by the sign of the smoothed ‘pressureSmooth’. The ‘rawFlow’ is then put through multiple layers of exponential moving average (EMA) smoothing (with ‘smoothingLength’ and derived values) to reach the final ‘mainFlow’ line. The extensive smoothing is designed to give a smooth and clear visualization of the overall market direction and magnitude. Dashboard Metrics Compilation: Additional metrics like flow acceleration (derivative of mainFlow), and flow continuity (correlation between close and volume) are calculated. All primary components (Flow State, Strength, Viscosity, Turbulence, Pressure, Acceleration, Continuity) are then presented in a user-configurable dashboard for ease of monitoring. 💡 Note: The “Market Fluid Dynamics - Phen” indicator is designed to offer a unique perspective on market behavior by applying principles from fluid dynamics. It’s most effective when used to understand the underlying forces driving price rather than as a direct buy/sell signal generator in isolation. Experiment with the settings, particularly the ‘Base Lookback Period’, ‘Flow Sensitivity’, and ‘Flow Smoothing’, to find what best suits your trading style and the specific asset you are analyzing. Always combine its insights with robust risk management practices.
Pine Script® göstergesi
PhenLabs tarafından
Volume fightThe Volume fight indicator looks for the predominance of bullish or bearish trading volume on the chart by dividing the trading volume in the bar into 2 parts - "bullish volume" and "bearish volume", and comparing the weighted average values by volume with each other at a given distance. This indicator is suitable for any instrument (cryptocurrency, Forex, stocks) and is able to work on any TF. The Volume fight indicator should be used as an auxiliary indicator that tells you who is currently prevailing in the market - " bulls "or"bears". To configure the indicator, it is necessary to set the range of evaluation of the predominance of bullish or bearish volume (the number of bars, by default-24 bars for TF=1H). The smaller the TF, the higher the range value should be used to filter out false signals. When there is a predominance of "bulls" on the chart, a green triangle appears (relevant at the close of the bar) and the histogram is highlighted in green, when "bears" appear on the chart, a red triangle appears (relevant at the close of the bar) and the histogram is highlighted in red. In the indicator settings, there is smoothing to reduce false signals and highlight the flat zone by specifying a percentage, at least which should be the difference between the forces of the "bullish" and "bearish" volume. If the difference between the volume forces is less than the specified one (by default-15%), the zone is considered flat and is displayed in gray on the histogram. If you set the percentage to zero, the flat zones will not be highlighted, but there will be much more false signals, since the indicator becomes very sensitive when the smoothing percentage decreases. There is a function-to show the color background of the current trading zone. For" bullish "- green, for" bearish " - red. In the settings, you can enable the display and use of each signal in the trading zone, not only the initial one, but also each after the flat zone. By default, only the signal of the beginning of the ascending/descending zone is used. The indicator has alerts for "bullish" and "bearish" movements. Use alerts - "Once per bar close". If you have any questions, you can write to me in private messages or by using the contacts in my signature. ---------------------------------------------------- Индикатор Volume fight ищет на графике преобладание бычьего или медвежьего объёма торгов путём разделения торгового объёма в баре на 2 части - "бычий объём" и "медвежий объём", и сравнения средне-взвешенных значений по объёму между собой на заданной дистанции. Данный индикатор подходит для любого инструмента (криптовалюта, Forex, акции) и способен работать на любом ТФ. Индикатор Volume fight следует использовать как вспомогательный индикатор, который подсказывает Вам кто сейчас преобладает на рынке - "быки" или "медведи". Для настройки индикатора необходимо выставить диапазон оценки преобладания бычьего или медвежьего объема (количество баров, по умолчанию - 24 бара для ТФ=1Ч). Чем меньше ТФ, тем выше следует использовать значение диапазона, чтобы отфильтровать ложные сигналы. При возникновении преобладания на графике "быков" появляется зелёный треугольник (актуален по закрытию бара) и гистограмма подсвечивается зелёным цветом, при возникновении на графике "медведей" появляется красный треугольник (актуален по закрытию бара) и гистограмма подсвечивается красным цветом. В настройках индикатора есть сглаживание для уменьшения ложных сигналов и выделения зоны флета с помощью указания процента, не менее которого, должна быть разница между силами "бычьего" и "медвежьего" объёма. Если разница между силами объёмов меньше заданного (по умолчанию - 15%), то зона считается флетовой и отображается на гистограмме серым цветом. Если выставить процент равным нулю, то зоны флета выделяться не будут, но будет гораздо больше ложных сигналов, так как индикатор становится очень чувствительным при снижении процента сглаживания. Есть функция - показывать цветовой фон текущей торговой зоны. Для "бычьего" - зелёный, для "медвежьего" - красный. В настройках можно включить отображение и использование каждого сигнал в торговой зоне, не только начального, но и каждого после зоны флета. По умолчанию - только сигнал начала восходящей/нисходящей зоны. Индикатор имеет оповещения для "бычьего" и "медвежьего" движения. Используйте оповещения - "на закрытии бара". Этот скрипт мы публикуем заново, он вошел в обзор лучших 3-х скриптов для фильтрации ложных сигналов.
Pine Script® göstergesi
NNT_capitall tarafından
Filt ADR🟠 Script Name: Filtered Average Daily Range (Filt ADR) This script calculates a filtered version of the Average Daily Range (ADR) based on the last 14 daily candles. It's designed to reduce the influence of unusually high or low daily ranges (outliers) by applying a filter before calculating the average. 🔧 How It Works — Step by Step 1. Calculate Daily Ranges (High - Low) It retrieves the daily price ranges (difference between daily high and low) for the last 14 days using request.security() with the "D" (daily) timeframe. pinescript Копировать Редактировать high - low // today's daily range high - low // yesterday's daily range ... These values are stored into individual variables dr0 to dr13. 2. Build an Array of Daily Ranges An array named ranges is used to store the 14 daily ranges, but only if they are not na (missing data). This avoids errors during processing. 3. Calculate the Initial (Unfiltered) Average Range The script sums all values in the ranges array and calculates their average: pinescript Копировать Редактировать avg_all = total sum of ranges / number of valid entries 4. Filter Out Outliers Now it filters the values in ranges: Only keeps the ranges that are between 0.5×avg_all and 2×avg_all. This is to remove abnormally small or large daily ranges that could distort the average. The filtered values are added to a second array called filtered. 5. Calculate the Filtered ADR Finally, it calculates the average of the filtered daily ranges: pinescript Копировать Редактировать avg_filt = sum of filtered ranges / number of filtered values This is the Filtered ADR. 6. Plot the Result The result (avg_filt) is plotted as an orange line on the chart. It updates on each bar (depending on the current timeframe you're viewing) but the underlying data is based on the last 14 daily candles. pinescript Копировать Редактировать plot(avg_filt, title="Filtered ADR", color=color.orange, linewidth=2) ✅ Use Case This script is useful for traders who use the Average Daily Range (ADR) to: Estimate expected price movement during a day Set volatility-based stop-loss or take-profit levels Identify days with unusually high or low volatility By filtering out extreme values, it provides a more stable and reliable estimate of daily volatility.
Pine Script® göstergesi
otdailopatku tarafından
[BMS] - Scalper PRO - 5mLooking for that crucial edge in trading? Imagine an indicator specifically designed for the fast-paced rhythm of scalping on 5-minute charts, a tool that whispers the market's secrets into your ear. It doesn't get sidetracked by the noise of other timeframes; its focus is surgical, capturing quick and precise movements. This isn't an indicator that tries to predict the future, but rather an ally that deciphers the dominant trend, guiding your entries. It identifies when the market is moving with conviction in one direction and positions you to ride that wave. Instead of fighting the current, you'll always be going with it, maximizing the potential of each trade. Whether you're an experienced scalper or looking to optimize your short-term strategies, this tool offers a unique perspective. Its intelligence lies in filtering out the chaos and presenting clear opportunities, always aligned with the main price flow. Get ready for more decisive trades, where speed and precision go hand-in-hand with the strength of the trend.
Pine Script® göstergesi
bms2 tarafından
rsi indicatorRSIBB Strategy Based on Oversold, Overrbuy Bolinger Band Band. In US 30. Time Indicators is set and the timing is in 5 minutes An example of Long. When the green marker appears, our entry point is High High If the price fails to reject our High High, our entry will change to the next candlestick. This process will continue until we enter the position. A marker appears in purple when the green marker appears to us, in which information appears: The first digit related to the strategist code The second digit is that we have a few pips to be sure of the candlestick of our entry point The third digit is our SL that is a coefficient of overall size of yogurt (HIGH - LOW) Charmin is the digit of our tp that is a coefficient of overall size of yogurt (HIGH - LOW) In 6 sets
Pine Script® stratejisi
t32952t2 tarafından
2
Phoenix AI **Phoenix AI — Full System Overview** Phoenix AI is a **non-repainting, trend-confirming, neural signal-based indicator** that blends classical technical analysis, adaptive volatility logic, and machine-learning-style signal weighting. The system is modular yet interconnected, with each part reinforcing the others to minimize false signals and maximize high-probability trade entries. 🧠 1. Neural Signal Engine 🔸 Components: ***Momentum - (based on RSI deviation from 50) ***Trend - (comparison of EMA 20 vs EMA 50) ***Volatility - (normalized ATR relative to price) ***Volume - (positive or negative delta from previous candle) Each of these factors is weighted using user-defined inputs: (momentum * momentumWeight + trend * trendWeight + volatility * volWeight + volume * volumeWeight) 🔸 Role: The output is a **normalized signal strength** between -1 and 1. A value above a dynamic **buy threshold** or below a **sell threshold** is required to validate entries. This engine ensures trades are only taken when multiple market characteristics are aligned. 🔄 2. Adaptive Multiplier Engine This module uses volatility and trend strength to **dynamically scale sensitivity** across: * Signal thresholds * SL/TP levels * Momentum/trend signal weights The `getAdaptiveMultiplier()` function calculates a multiplier that scales with recent market volatility or trend strength, depending on user input (`adaptiveMode`): ***Volatility: Reacts to how stretched current price ranges are vs. historical ***Trend: Measures slope difference between fast and slow EMAs This value feeds into: ***Neural Network input scaling** ***Stop loss and take profit multipliers** **Signal strength thresholds** 📉 3. Higher Timeframe Filters To eliminate noise, Phoenix AI includes **multi-timeframe confirmation: ***HTF EMA Channel: Price must be above or below a higher-timeframe EMA ***HTF RSI Zones: Confirms overbought/oversold alignment ***HTF Ichimoku Displacement: Ensures price is above/below both Senkou A and B clouds These filters ensure the **local signal is aligned with macro trend bias** before triggering a trade. 📊 4. RSI Zones (Volatility-Adjusted) Phoenix dynamically adjusts RSI bounds for entries based on the current volatility ratio: rsiBuyLow = 60 - adjustment rsiBuyHigh = 70 - adjustment rsiSellLow = 30 + adjustment rsiSellHigh = 40 + adjustment This makes the system more **forgiving in low-volatility conditions** and tighter in high-volatility markets — a smart way to avoid overreactions in fast-moving environments. 📈 5. Trend Channel (MA Envelope) An **EMA channel** is plotted using prior candle high/low data: * `upperMA` = EMA of highs * `lowerMA` = EMA of lows This visual aid highlights the **local trend direction and range**, helping filter entries: ***Buy**: Must close above `upperMA` ***Sell**: Must close below `lowerMA` It also works in tandem with the reset logic: trades aren't re-enabled until price crosses back within the trend channel. 🧮 6. Signal Conditions Logic All trade signals must pass **multiple layers of validation**: ✅ Buy Signal: * Neural signal > threshold * Price above trend channel (local trend bullish) * RSI within buy zone * Above both Senkou A & B (local cloud support) * Higher timeframe confirmation * Market volatility stable ✅ Sell Signal: * Neural signal < -threshold * Price below trend channel * RSI in sell zone * Below both Senkou A & B * HTF bearish structure * Market volatility stable This **multi-confluence logic** filters out bad trades and limits overfitting by ensuring **broad agreement across volatility, momentum, trend, and multi-timeframe structure**. 🛡 7. Risk Management Module Phoenix AI automatically **draws and scales SL/TP lines** based on ATR and adaptive volatility logic: * SL = `SL Multiplier × ATR` * TP1/TP2/TP3 = scaled multiples of ATR Each is plotted dynamically using `line.new()` on signal confirmation. These are not fixed points but adjust to market state, making this suitable for real-time execution or alerts. 💡 8. Visualization & Labels * Customizable labels print vital market state info: * Volatility Ratio (VR) * RSI ranges * Neural signal output * Threshold & adaptive values This on-chart display gives traders immediate insight into the **internal decision logic** of the algorithm before committing to a trade. 🔔 9. Alerts and Signal Plotting Phoenix AI issues **TradingView alert conditions** for: * Buy signals (triangle below candle) * Sell signals (triangle above candle) * Each includes price, SL, and all 3 TP targets These alerts are **bar-confirmed** and use `close `, preventing repainting or forward-looking bias. 🧠 Summary: How Everything Connects | Module | Purpose | Connected To | | --------------- | -------------------------------- | ------------------------------------------------ | | Neural Engine | Signal score | Adaptive scaling, RSI, trend, volatility, volume | | Adaptive Logic | Scales thresholds & trade levels | Risk management, neural signals | | RSI Zones | Entry filtering | Volatility ratio | | Trend Channel | Visual filter + reset | Entry conditions | | HTF Filters | Trend alignment | Final confirmation | | Risk Management | SL/TP logic | ATR, volatility ratio, adaptive multiplier | | Alerts & Labels | Execution + insight | All systems combined | --------------------------------------------------------------------------------------------------------------------- The Phoenix AI indicator is a modular but tightly integrated trading tool that combines multiple technical indicators and adaptive algorithms to generate buy and sell signals. At its core, the indicator uses a combination of volatility, trend, and momentum indicators to identify potential trading opportunities. The indicator starts by calculating the current volatility of the market using the Average True Range (ATR) indicator. This value is then compared to the historical volatility to determine the volatility ratio. The volatility ratio is used to adjust the dynamic RSI parameters, which are used to identify overbought and oversold conditions in the market. The indicator also uses a moving average channel to identify the trend direction and potential support and resistance levels. The channel is calculated using the Exponential Moving Average (EMA) of the high and low prices over a specified period. In addition to the moving average channel, the indicator uses the Ichimoku cloud to gauge the trend strength and potential reversals. The Ichimoku cloud is a comprehensive trend trading system that uses multiple indicators to identify the trend direction and potential support and resistance levels. The indicator also incorporates a neural network algorithm to generate buy and sell signals. The neural network uses a combination of momentum, trend, and volatility indicators to generate a signal. The signal is then compared to a dynamic threshold to determine whether a trade should be taken. The dynamic threshold is calculated based on the volatility of the market and the adaptive strength of the indicator. The adaptive strength is a parameter that determines how responsive the indicator is to changes in the market. A higher adaptive strength means that the indicator will be more responsive to changes in the market, while a lower adaptive strength means that the indicator will be less responsive. The indicator also includes a number of other features, such as a market condition filter and a trading logic system. The market condition filter is used to determine whether the market is stable or volatile, and the trading logic system is used to generate buy and sell signals based on the indicator's calculations. Overall, the Phoenix AI indicator is a powerful trading tool that can be used to generate buy and sell signals in a variety of markets. Its combination of technical indicators and adaptive algorithms makes it a versatile and effective tool for traders of all levels. In terms of how each part of the indicator ties into other parts, the volatility ratio is used to adjust the dynamic RSI parameters, which are then used to identify overbought and oversold conditions in the market. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals. The neural network algorithm uses a combination of momentum, trend, and volatility indicators to generate a signal, which is then compared to a dynamic threshold to determine whether a trade should be taken. The logic behind the indicator is to use a combination of technical indicators and adaptive algorithms to generate buy and sell signals. The indicator is designed to be flexible and adaptable to different market conditions, and can be customized using a number of input parameters. The indicator's calculations are based on a combination of technical indicators and market data, and are designed to provide a comprehensive view of the market. Each indicator used in the Phoenix AI indicator is doing a specific job. The ATR indicator is used to calculate the volatility of the market, while the RSI indicator is used to identify overbought and oversold conditions. The moving average channel is used to identify the trend direction and potential support and resistance levels, while the Ichimoku cloud is used to gauge the trend strength and potential reversals. The neural network algorithm is used to generate buy and sell signals based on a combination of momentum, trend, and volatility indicators. Overall, the Phoenix AI indicator is a powerful and flexible trading tool that can be used to generate buy and sell signals in a variety of markets. Its combination of technical indicators and adaptive algorithms makes it a versatile and effective tool for traders of all levels.
Pine Script® göstergesi
samuelknighten tarafından
Golden egg## Golden Egg – Trend Signal & Dynamic Level Visualization **Golden Egg** is a hybrid visual indicator designed to help traders identify directional bias and price reactions with enhanced clarity. It combines a dual-layer logic: a crossover-based signal system and an adaptive volatility range to support trend interpretation. --- ### 🔹 Originality & Value Proposition - **Noise Reduction**: WMA‐smoothed ATR reduces volatility noise by ~30% versus standard ATR channels. - **Lag Minimization**: High/Low EMA crossover + candle‐direction filter cuts signal lag by an average of 2 ticks. - **Chart Efficiency**: Merges trend bias and scalp‐level zones in one indicator, reducing chart clutter by ~50%. --- ### 🔹 Core Structure 1. **EMA Crossover Logic (Golden Chart 2)** - Dual EMAs on high & low prices - BUY/SELL when crossover aligns with candle close direction 2. **ATR‐Based Dynamic Levels (Golden Chart 3)** - WMA‐smoothed ATR for adaptive upper/lower bands - Candles colored **Green** (bullish zone) or **Red** (bearish zone) --- ### 🔹 Usage Example - **Chart Header** must display: ` Golden Egg` e.g. `BTCUSD 5m Golden Egg` - BUY icons (🔔) and SELL icons (⚡) appear at crossover + close confirmation --- ## ⚖️ Disclaimer This script is offered “as is” for educational and informational purposes only. **Not financial advice**. Use at your own risk; the author is **not liable** for any outcome. --- ## 🚫 Restrictions - Redistribution, resale, or copying is strictly prohibited - Invite‐only access is manually granted on request - Commercial integration requires separate agreement with the author
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frontier0703 tarafından
GOYD📊 GOYD (Daily Average Percentage Change) Indicator Created by: Emre Yavuz - @emreyavuz84 This indicator calculates and displays the average daily percentage change for each day of the week. It helps traders identify which days tend to be more volatile, offering valuable insights for timing strategies and market behavior analysis. ================================================================================= 🔧 How It Works Daily Percentage Change Calculation: For each candle, the indicator calculates the percentage change using the formula: Percentage Change = (High - Low) / Low * 100 ================================================================================= Day-Based Data Collection: The script stores the daily percentage changes in separate arrays for each day of the week: Monday → mondayChanges Tuesday → tuesdayChanges ... Sunday → sundayChanges ================================================================================ Average Calculation: For each day, the script calculates the average of all recorded percentage changes. This gives a historical view of how volatile each weekday tends to be. ================================================================================= Visual Table Display: A table is displayed in the top-right corner of the chart, showing: Column 1: Day of the week Column 2: Average percentage change for that day ================================================================================= 🎯 Use Cases This indicator is useful for: Weekly Volatility Analysis: Identify which days are historically more volatile. Timing Strategies: Optimize entry/exit points based on day-specific behavior. Data-Driven Decisions: Make informed choices using historical volatility trends. ================================================================================ 🎨 Customization The table color can be customized via the _tc input parameter. The indicator is set to display directly on the chart (overlay=true). If you find this indicator helpful, feel free to like, comment, or add it to your favorites. Your feedback is always appreciated! 📈
Pine Script® göstergesi
emreyavuz84 tarafından