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ATR Volatility and Trend AnalysisATR Volatility and Trend Analysis Unlock the power of the Average True Range (ATR) with the ATR Volatility and Trend Analysis indicator. This comprehensive tool is designed to provide traders with a multi-faceted view of market dynamics, combining volatility analysis, dynamic support and resistance levels, and trend detection into a single, easy-to-use indicator. How It Works The ATR Volatility and Trend Analysis indicator is built upon the core concept of the ATR, a classic measure of market volatility. It expands on this by providing several key features: Dynamic ATR Bands: The indicator plots three sets of upper and lower bands around the price. These bands are calculated by multiplying the current ATR value by user-defined multipliers. They act as dynamic support and resistance levels, widening during volatile periods and contracting during calm markets. Volatility Breakout Signals: Identify potential breakouts with precision. The indicator generates a signal when the current ATR value surges above its own moving average by a specified threshold, indicating a significant increase in volatility that could lead to a strong price move. Trend Detection: The indicator determines the market trend by analyzing both price action and ATR behavior. A bullish trend is signaled when the price is above its moving average and volatility is increasing. Conversely, a bearish trend is signaled when the price is below its moving average and volatility is increasing. How to Use the ATR Multi-Band Indicator Identify Support and Resistance: Use the ATR bands as key levels. Price approaching the outer bands may indicate overbought or oversold conditions, while a break of the bands can signal a strong continuation. Confirm Breakouts: Look for a volatility breakout signal to confirm the strength behind a price move. A breakout from a consolidation range accompanied by a volatility signal is a strong indicator of a new trend. Trade with the Trend: Use the background coloring and trend signals to align your trades with the dominant market direction. Enter long positions during confirmed bullish trends and short positions during bearish trends. Set Up Alerts: The indicator includes alerts for band crosses, trend changes, and volatility breakouts, ensuring you never miss a potential trading opportunity. What makes it different? While many indicators use ATR, the ATR Volatility and Trend Analysis tool is unique in its integration of multiple ATR-based concepts into a single, cohesive system. It doesn't just show volatility; it interprets it in the context of price action to deliver actionable trend and breakout signals, making it a complete solution for ATR-based analysis. Disclaimer This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
مؤشر Pine Script®
من ‎dchunt-stack‎
Tragad00TanTechTrades — Trendilo with Moving Average + Divergences (Tragad00) Inspired by Trendilo, this oscillator reworks the original logic and adds: A selectable Moving Average (SMA/EMA/WMA/SMMA/VWMA) applied to the oscillator itself Adaptive bands for overbought/oversold zones Regular bullish & bearish divergence detection with labels A full set of alert conditions for signals and state changes What it does This indicator transforms price into an ALMA-smoothed percent-change oscillator and compares it to an adaptive volatility band: Oscillator (avpch) Computes % change of your chosen Source, optionally smoothed, then smooths it again with ALMA (length, offset, sigma). Adaptive bands (±rms) Uses a root-mean-square of the oscillator over a band length (Lookback or custom) scaled by Band Multiplier. Values above +rms suggest overbought pressure; below −rms suggest oversold pressure. Trend coloring Line (and optional bars) turn lime when avpch > +rms, red when avpch < −rms, and gray otherwise. Optional fill highlights the dominant side. Overlay MA on the oscillator A selectable MA of the oscillator (maPlot) helps time signals relative to the Trendilo line. Regular Divergences Bullish: price makes a lower low while the oscillator makes a higher low. Bearish: price makes a higher high while the oscillator makes a lower high. Lookback windows are configurable and divergence labels are plotted on the oscillator. Signals & how to read them Trend Bias Bull Zone: avpch above +rms (lime) Bear Zone: avpch below −rms (red) Neutral: between the bands (gray) Cross Signals Long Entry: MA crosses above the Trendilo line (maPlot ↑ over avpch) Short Entry: MA crosses below the Trendilo line (maPlot ↓ under avpch) Midline Cross: avpch crossing 0 flags shifts in momentum regime Divergences Bullish Divergence label (“Bull”) may mark potential bottoms Bearish Divergence label (“Bear”) may mark potential tops Tip: Combine divergence with a subsequent midline cross or MA cross for confirmation. Alerts included (ready to use) Overbought / No Longer Overbought Oversold / No Longer Oversold Long Entry (MA crosses above Trendilo) Short Entry (MA crosses below Trendilo) Midline Cross Up / Midline Cross Down Bullish Divergence / Bearish Divergence Set alerts from the “Conditions” menu using the titles above. Inputs Core Source (default: Close) Smoothing (pre-change smoothing) Lookback (ALMA length) ALMA Offset, ALMA Sigma Band Multiplier Custom Band Length? + Custom Band Length Display: Highlight, Fill, Bar Color Oscillator MA MA Length MA Type: SMA / EMA / WMA / SMMA (RMA) / VWMA Divergences Pivot Lookback Left / Right Max/Min Lookback Range (window for valid pivots) Plot Bullish Divergence / Plot Bearish Divergence Suggested workflow Trend context: Use band color (lime/red) to gauge dominant pressure. Timing: Look for MA ↔ Trendilo crosses in the direction of the current zone. Reversals: Watch for divergence labels; seek confirmation via midline (0) cross or a band exit. Risk: Overbought/oversold alerts can warn of exhaustion—tighten stops or scale out. Notes & credits Built by TanTechTrades. Inspired by the Trendilo concept; this version focuses on an ALMA-smoothed percent-change oscillator with adaptive RMS bands, an oscillator MA, and regular divergence detection. This is a tool, not financial advice. Always combine with price action, structure, and risk management.
مؤشر Pine Script®
من ‎TANTECHTRADES‎
Open Range Breakout (ORB) with Alerts and LabelsThis is a classic 5min ORB indicator that highlights the orb range for your chosen session. This makes it easy to reference the range later in the trading day. In addition to the original orb signals for both buy and sell you can play off that zone for powerful entries later in the session. The signals give TP1 1:1 TP2 2:1 Options You can set the name of the session The color of the range. The buffer for the SL How many entries for the orb
مؤشر Pine Script®
من ‎toksogun‎
SFP + FVG + VWAP Confluence RadarSFP + FVG + VWAP Confluence Radar Author: @darshakssc What this script does This tool is designed to highlight potential institutional-style intraday setups by combining three concepts often used by professional traders: Swing Failure Patterns (SFPs) – detects confirmed stop-runs at key swing highs/lows Fair Value Gaps (FVGs) – identifies recent imbalances in price that may act as magnets VWAP with Bands – session VWAP plus standard deviation bands for intraday structure A signal is only shown when all three align in confluence. How to use BUY setup: downside SFP + a fresh bullish FVG + price near the lower VWAP band SELL setup: upside SFP + a fresh bearish FVG + price near the upper VWAP band These signals are confirmation tools and should always be combined with your own market analysis, risk management, and trade plan. Features Non-repainting (SFPs confirmed only after pivot bars close) Works on intraday charts (1m–1h) across indices, FX, crypto, and equities Optional FVG visualization with auto-expiring boxes Elegant BUY/SELL labels for clarity Alerts available for both long and short confluences Notes & Compliance Signals are calculated on bar close and do not repaint. This script is for educational purposes only. It is not financial advice and does not guarantee performance. Always test responsibly and manage your own risk.
مؤشر Pine Script®
من ‎darshakssc‎
Atlantean Sideways / Range Regime DetectorPurpose When using trend based indicators, you can skip the false signals when there is a sideways action, protecting you from the false signals. Flags likely sideways/range phases using three checks: Weak trend (ADX from DMI) Price compression (Bollinger Band Width, normalized) Low volatility (NATR = ATR/Price%) Logic isSideways = (ADX < adxThresh) AND (bbNorm < 0.25) AND (NATR < natrMax) When true: bars + background turn teal and a provisional Range High/Low (rolling rangeWin) is drawn. Key Inputs DMI: diLen(22) Optimized for 15 mins Bitcoin, could change it to 14 for more general approach ADX: adxSmooth(14), adxThresh(18) Volatility: lenATR(14), natrMax(1.8) Visuals: rangeWin(20), bar/range toggles Quick Tuning More signals: raise adxThresh to 20–25, raise natrMax to 2.5–4.0, increase BB cutoff by editing bbNorm < 0.25 --> 0.35–0.50. Smoother range lines: increase rangeWin to 30–40. Use Cases Mean reversion inside teal ranges. Breakout prep when price closes outside the drawn range after teal ends. Could be used as a signal although not suggested. Filter trend systems: skip trades when sidewaysCond is true. This is the main purpose, for it to be combined with trend based indicators, like Supertrend. Alert “Sideways Detected” triggers when isSideways is true. Script could be expanded upon your requests.
مؤشر Pine Script®
من ‎Atlantean_Trade‎
aaa sibilio 5.5 New 4## **The Fundamental Characteristics of Moving Averages: Theoretical Principles and Strategic Applications** ### **The Non-Parallelism Principle: Mathematical Foundation** The first fundamental principle governing moving averages establishes that **any moving average can never be parallel to its linear regression**. This is not coincidental or anomalous, but a direct consequence of the mathematical nature of moving averages. **Theoretical explanation:** A moving average is a low-pass filter that removes high-frequency components from price data, while a linear regression represents the optimal linear trend over the considered period. Since the moving average maintains trace of oscillations around the trend (albeit attenuated), while the regression completely eliminates these oscillations to provide only the general direction, the two curves can never be identical or parallel. **Crucial implication:** This characteristic certifies that **moving averages always have a curvilinear pattern** relative to their regression. The curvature is not an imperfection in the calculation, but the manifestation of the intrinsic dynamics of market data filtered through the moving average. ### **System Energy: Derivation from Curvature** It is precisely this curvilinear characteristic that allows us to determine fundamental parameters such as **system energy**. **Physical basis:** In physics, the potential energy of a curvilinear system is proportional to the deviation from the equilibrium trajectory (represented by the linear regression). In our context: - **Potential energy** = Distance between moving average and its regression - **Kinetic energy** = Speed of approach or separation between the two curves - **Total system energy** = Sum of potential and kinetic energy **Practical application:** When the moving average moves away from its regression, it accumulates potential energy that must be released. When it approaches rapidly, it manifests kinetic energy that can lead to overshooting the equilibrium point. ### **The Hierarchical Rolling Principle** The second fundamental principle establishes that **curves roll around each other starting from longer periods toward shorter ones**. This phenomenon has deep roots in dynamical systems theory. **Theoretical explanation:** Moving averages with longer periods have greater inertia and resistance to change (analogous to mass in physics). When a trend change occurs, it propagates first in long-period averages (which represent the dominant forces of the system), then progressively diffuses toward shorter-period averages. **Propagation mechanism:** 1. **Macro level** (long averages): Change in direction of principal forces 2. **Medium level** (intermediate averages): Signal transmission 3. **Micro level** (short averages): Final manifestation of the change ### **Derived Strategic Formations** This hierarchical rolling allows us to identify **important formations** for the strategy: **Rolling Confluence:** When multiple averages of different periods simultaneously begin the rolling process, a high-probability reversal zone is created. **Alignment Cascade:** The temporal sequence with which averages roll provides information about the strength and persistence of the imminent movement. **Dynamic Resistance Zones:** Points where rolling encounters resistance indicate critical levels where opposing forces temporarily balance. ### **Strategic Implications** These theoretical principles translate into concrete operational advantages: 1. **Energy predictability:** We can quantify the energy accumulated in the system and predict the strength of future movements 2. **Entry timing:** Hierarchical rolling provides a temporal sequence to optimize entry points 3. **Risk management:** Understanding system energy allows proper position sizing The combination of these two principles - non-parallelism and hierarchical rolling - transforms moving averages from simple trend indicators into sophisticated tools for energetic and dynamic analysis of financial markets.
مؤشر Pine Script®
من ‎Ninocaprini‎
aaa sibilio 5.5 New Tre## **The Fundamental Characteristics of Moving Averages: Theoretical Principles and Strategic Applications** ### **The Non-Parallelism Principle: Mathematical Foundation** The first fundamental principle governing moving averages establishes that **any moving average can never be parallel to its linear regression**. This is not coincidental or anomalous, but a direct consequence of the mathematical nature of moving averages. **Theoretical explanation:** A moving average is a low-pass filter that removes high-frequency components from price data, while a linear regression represents the optimal linear trend over the considered period. Since the moving average maintains trace of oscillations around the trend (albeit attenuated), while the regression completely eliminates these oscillations to provide only the general direction, the two curves can never be identical or parallel. **Crucial implication:** This characteristic certifies that **moving averages always have a curvilinear pattern** relative to their regression. The curvature is not an imperfection in the calculation, but the manifestation of the intrinsic dynamics of market data filtered through the moving average. ### **System Energy: Derivation from Curvature** It is precisely this curvilinear characteristic that allows us to determine fundamental parameters such as **system energy**. **Physical basis:** In physics, the potential energy of a curvilinear system is proportional to the deviation from the equilibrium trajectory (represented by the linear regression). In our context: - **Potential energy** = Distance between moving average and its regression - **Kinetic energy** = Speed of approach or separation between the two curves - **Total system energy** = Sum of potential and kinetic energy **Practical application:** When the moving average moves away from its regression, it accumulates potential energy that must be released. When it approaches rapidly, it manifests kinetic energy that can lead to overshooting the equilibrium point. ### **The Hierarchical Rolling Principle** The second fundamental principle establishes that **curves roll around each other starting from longer periods toward shorter ones**. This phenomenon has deep roots in dynamical systems theory. **Theoretical explanation:** Moving averages with longer periods have greater inertia and resistance to change (analogous to mass in physics). When a trend change occurs, it propagates first in long-period averages (which represent the dominant forces of the system), then progressively diffuses toward shorter-period averages. **Propagation mechanism:** 1. **Macro level** (long averages): Change in direction of principal forces 2. **Medium level** (intermediate averages): Signal transmission 3. **Micro level** (short averages): Final manifestation of the change ### **Derived Strategic Formations** This hierarchical rolling allows us to identify **important formations** for the strategy: **Rolling Confluence:** When multiple averages of different periods simultaneously begin the rolling process, a high-probability reversal zone is created. **Alignment Cascade:** The temporal sequence with which averages roll provides information about the strength and persistence of the imminent movement. **Dynamic Resistance Zones:** Points where rolling encounters resistance indicate critical levels where opposing forces temporarily balance. ### **Strategic Implications** These theoretical principles translate into concrete operational advantages: 1. **Energy predictability:** We can quantify the energy accumulated in the system and predict the strength of future movements 2. **Entry timing:** Hierarchical rolling provides a temporal sequence to optimize entry points 3. **Risk management:** Understanding system energy allows proper position sizing The combination of these two principles - non-parallelism and hierarchical rolling - transforms moving averages from simple trend indicators into sophisticated tools for energetic and dynamic analysis of financial markets.
مؤشر Pine Script®
من ‎Ninocaprini‎
aaa sibilio 5.5 New Due## **Le Caratteristiche Fondamentali delle Medie: Principi Teorici e Applicazioni Strategiche** ### **Il Principio della Non-Parallelità: Fondamento Matematico** Il primo principio fondamentale che governa le medie mobili stabilisce che **qualsiasi media non può mai essere parallela alla sua regressione lineare**. Questo non è un caso o un'anomalia, ma una conseguenza diretta della natura matematica delle medie mobili. **Spiegazione teorica:** Una media mobile è un filtro passa-basso che rimuove le frequenze ad alta velocità dai dati di prezzo, mentre una regressione lineare rappresenta la tendenza lineare ottimale nel periodo considerato. Poiché la media mobile mantiene traccia delle oscillazioni attorno al trend (seppur attenuate), mentre la regressione elimina completamente queste oscillazioni per fornire solo la direzione generale, le due curve non possono mai essere identiche o parallele. **Implicazione cruciale:** Questa caratteristica certifica che **le medie hanno sempre un andamento curvilineo** rispetto alla loro regressione. La curvatura non è un'imperfezione del calcolo, ma la manifestazione della dinamica intrinseca dei dati di mercato filtrati attraverso la media mobile. ### **L'Energia del Sistema: Derivazione dalla Curvatura** È proprio questa caratteristica curvilinea che ci consente di determinare parametri fondamentali come **l'energia del sistema**. **Base fisica:** In fisica, l'energia potenziale di un sistema curvilineo è proporzionale alla deviazione dalla traiettoria di equilibrio (rappresentata dalla regressione lineare). Nel nostro contesto: - **Energia potenziale** = Distanza tra media mobile e sua regressione - **Energia cinetica** = Velocità di avvicinamento o allontanamento tra le due curve - **Energia totale del sistema** = Somma di energia potenziale e cinetica **Applicazione pratica:** Quando la media si allontana dalla sua regressione, accumula energia potenziale che deve essere rilasciata. Quando si avvicina rapidamente, manifesta energia cinetica che può portare a overshooting del punto di equilibrio. ### **Il Principio dell'Arrotolamento Gerarchico** Il secondo principio fondamentale stabilisce che **le curve si arrotolano tra loro partendo dai periodi più lunghi verso quelli più piccoli**. Questo fenomeno ha radici profonde nella teoria dei sistemi dinamici. **Spiegazione teorica:** Le medie con periodi più lunghi hanno maggiore inerzia e resistenza al cambiamento (analogamente alla massa in fisica). Quando si verifica un cambiamento di tendenza, questo si propaga prima nelle medie a periodo lungo (che rappresentano le forze dominanti del sistema), per poi diffondersi progressivamente verso le medie a periodo più breve. **Meccanismo di propagazione:** 1. **Livello macro** (medie lunghe): Cambio di direzione delle forze principali 2. **Livello medio** (medie intermedie): Trasmissione del segnale 3. **Livello micro** (medie brevi): Manifestazione finale del cambiamento ### **Formazioni Strategiche Derivate** Questo arrotolamento gerarchico ci consente di identificare **formazioni importanti** per la strategia: **Confluenza di Arrotolamento:** Quando più medie di diversi periodi iniziano simultaneamente il processo di arrotolamento, si crea una zona di alta probabilità di inversione. **Cascata di Allineamento:** La sequenza temporale con cui le medie si arrotolano fornisce informazioni sulla forza e persistenza del movimento imminente. **Zone di Resistenza Dinamica:** I punti dove l'arrotolamento incontra resistenza indicano livelli critici dove le forze opposte si equilibrano temporaneamente. ### **Implicazioni per la Strategia** Questi principi teorici si traducono in vantaggi operativi concreti: 1. **Prevedibilità dell'energia:** Possiamo quantificare l'energia accumulata nel sistema e prevedere la forza dei movimenti futuri 2. **Timing degli ingressi:** L'arrotolamento gerarchico fornisce una sequenza temporale per ottimizzare i punti di ingresso 3. **Gestione del rischio:** La comprensione dell'energia del sistema permette di dimensionare correttamente le posizioni La combinazione di questi due principi - non-parallelità e arrotolamento gerarchico - trasforma le medie mobili da semplici indicatori di trend in strumenti sofisticati per l'analisi energetica e dinamica dei mercati finanziari. versione inglese ## **The Fundamental Characteristics of Moving Averages: Theoretical Principles and Strategic Applications** ### **The Non-Parallelism Principle: Mathematical Foundation** The first fundamental principle governing moving averages establishes that **any moving average can never be parallel to its linear regression**. This is not coincidental or anomalous, but a direct consequence of the mathematical nature of moving averages. **Theoretical explanation:** A moving average is a low-pass filter that removes high-frequency components from price data, while a linear regression represents the optimal linear trend over the considered period. Since the moving average maintains trace of oscillations around the trend (albeit attenuated), while the regression completely eliminates these oscillations to provide only the general direction, the two curves can never be identical or parallel. **Crucial implication:** This characteristic certifies that **moving averages always have a curvilinear pattern** relative to their regression. The curvature is not an imperfection in the calculation, but the manifestation of the intrinsic dynamics of market data filtered through the moving average. ### **System Energy: Derivation from Curvature** It is precisely this curvilinear characteristic that allows us to determine fundamental parameters such as **system energy**. **Physical basis:** In physics, the potential energy of a curvilinear system is proportional to the deviation from the equilibrium trajectory (represented by the linear regression). In our context: - **Potential energy** = Distance between moving average and its regression - **Kinetic energy** = Speed of approach or separation between the two curves - **Total system energy** = Sum of potential and kinetic energy **Practical application:** When the moving average moves away from its regression, it accumulates potential energy that must be released. When it approaches rapidly, it manifests kinetic energy that can lead to overshooting the equilibrium point. ### **The Hierarchical Rolling Principle** The second fundamental principle establishes that **curves roll around each other starting from longer periods toward shorter ones**. This phenomenon has deep roots in dynamical systems theory. **Theoretical explanation:** Moving averages with longer periods have greater inertia and resistance to change (analogous to mass in physics). When a trend change occurs, it propagates first in long-period averages (which represent the dominant forces of the system), then progressively diffuses toward shorter-period averages. **Propagation mechanism:** 1. **Macro level** (long averages): Change in direction of principal forces 2. **Medium level** (intermediate averages): Signal transmission 3. **Micro level** (short averages): Final manifestation of the change ### **Derived Strategic Formations** This hierarchical rolling allows us to identify **important formations** for the strategy: **Rolling Confluence:** When multiple averages of different periods simultaneously begin the rolling process, a high-probability reversal zone is created. **Alignment Cascade:** The temporal sequence with which averages roll provides information about the strength and persistence of the imminent movement. **Dynamic Resistance Zones:** Points where rolling encounters resistance indicate critical levels where opposing forces temporarily balance. ### **Strategic Implications** These theoretical principles translate into concrete operational advantages: 1. **Energy predictability:** We can quantify the energy accumulated in the system and predict the strength of future movements 2. **Entry timing:** Hierarchical rolling provides a temporal sequence to optimize entry points 3. **Risk management:** Understanding system energy allows proper position sizing The combination of these two principles - non-parallelism and hierarchical rolling - transforms moving averages from simple trend indicators into sophisticated tools for energetic and dynamic analysis of financial markets.
مؤشر Pine Script®
من ‎Ninocaprini‎
8 SMA Bands (Points)The "8 SMA Bands (Points)" indicator creates a set of eight Simple Moving Average (SMA) bands with adjustable offsets, overlaid on a price chart. Here’s a breakdown: Purpose: It tracks price trends using multiple SMAs of varying lengths (default 25, 50, 100, 200, 400, 800, 1600 periods) and adds upper and lower bands around each SMA based on point offsets, helping identify potential support, resistance, and trend strength. Key Components: SMAs: Eight SMAs are calculated using closing prices with lengths ranging from 25 to 1600 periods. Each SMA is plotted with a distinct color and line thickness (e.g., MA 1 is blue, MA 8 is white with thicker lines). Bands: For each SMA, upper and lower bands are created by adding or subtracting a point-based offset (suggestions are to use default Murray Math based numbers e.g., 0.305176 for MA 1, 39.062528 for MA 8) multiplied by a global multiplier (default 1.0). These offsets define the band width and are customizable. Customization: Users can adjust SMA lengths, offset points, colors, and the global multiplier via input settings grouped by each MA. Visuals: SMAs are plotted as solid lines with increasing thickness for longer periods (e.g., MA 6–8 use thicker lines or circles). Bands are plotted as semi-transparent lines matching the SMA color, with longer-term bands (MA 6–7) using a different style for emphasis. Usage: The indicator helps traders visualize trend direction (upward if price is above most SMAs, downward if below) and potential reversal zones where price interacts with band boundaries. The flattening or crossing of bands can signal momentum shifts. The coming together of multiple envelope tops/bottoms can signal reversal zones of various degrees based on how many envelopes come together. More envelopes converging mean a more significant top or bottom. This indicator is particularly useful for identifying multi-timeframe trends and volatility zones on assets like Gold Futures, with flexibility to fine-tune based on market conditions.
مؤشر Pine Script®
من ‎surfchaser‎
Trend Candle CounterComplete Tutorial: Trend Candle Counter Pine ScriptTable of Contents Installation Guide Understanding the Indicator How It Works Customization Options Trading Strategies Setting Up Alerts Troubleshooting 1. Installation Guide {#installation}Step-by-Step Installation:Step 1: Open TradingView Go to www.tradingview.com Log in to your account Step 2: Access Pine Editor Click on "Pine Editor" tab at the bottom of the chart Or press Alt + E (Windows) or Option + E (Mac) Step 3: Create New Indicator Click "Open" → "New blank indicator" Delete any default code Step 4: Paste the Script Copy the entire Trend Candle Counter script Paste it into the editor Step 5: Save and Apply Click "Save" (or Ctrl + S) Give it a name: "Trend Candle Counter" Click "Add to Chart" ✅ Done! The indicator should now appear on your chart.2. Understanding the Indicator {#understanding}What Does It Do?This indicator numbers each candle based on the current trend: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}Trend TypeNumberingVisualUptrend+1, +2, +3, +4...🟢 Green labelsDowntrend-1, -2, -3, -4...🔴 Red labelsTrend ChangeResets to ±1Label color switchesVisual Components: Candle Labels - Numbers above each candle Trend Line (EMA) - Green (up) / Red (down) Background Shading - Light green/red tint Info Table - Top-right corner showing: Current trend direction Current candle number Current price 3. How It Works {#how-it-works}Trend Detection Logic:IF Close > EMA → UPTREND (positive counting) IF Close < EMA → DOWNTREND (negative counting) Counting Mechanism:Example Uptrend:Candle 1: Close > EMA → Label: +1 Candle 2: Close > EMA → Label: +2 Candle 3: Close > EMA → Label: +3 Candle 4: Close < EMA → Label: -1 (trend changed!) Example Downtrend:Candle 1: Close < EMA → Label: -1 Candle 2: Close < EMA → Label: -2 Candle 3: Close < EMA → Label: -3 Candle 4: Close > EMA → Label: +1 (trend changed!) Key Insight:The higher the absolute number, the longer the trend has been running!4. Customization Options {#customization}Accessing Settings: Click the gear icon ⚙️ next to the indicator name Go to "Inputs" tab Available Parameters: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}ParameterDefaultDescriptionRecommendationTrend Detection Length14EMA period for trend5-10: Scalping14-20: Day trading50-200: Swing tradingShow Candle Numbers✅ YesDisplay labelsDisable for cleaner chartLabel SizeSmallSize of numbersTiny: Multi-timeframeLarge: Focus on one chartUptrend ColorGreenPositive number colorCustomize to preferenceDowntrend ColorRedNegative number colorCustomize to preferenceOptimization by Trading Style:For Scalpers (1m - 5m charts):Trend Detection Length: 5-10 Label Size: Tiny Show Labels: Optional (can be cluttered) For Day Traders (15m - 1h charts):Trend Detection Length: 14-20 Label Size: Small Show Labels: Yes For Swing Traders (4h - Daily charts):Trend Detection Length: 50-100 Label Size: Normal Show Labels: Yes 5. Trading Strategies {#strategies}Strategy 1: Trend Reversal TradingEntry Signals: Buy: When counter changes from negative to +1 Sell: When counter changes from positive to -1 Confirmation: Wait for +2 or -2 to confirm trend strength Use additional indicators (RSI, MACD) for validation Example:Candle: -5, -6, -7, -8, +1, +2 ← BUY HERE Stop Loss: Below the -8 candle low Target: When counter reaches +8 to +10 Strategy 2: Trend Continuation TradingEntry Signals: Buy: Enter on pullbacks during uptrend (e.g., at +3, +5, +7) Sell: Enter on bounces during downtrend (e.g., at -3, -5, -7) Risk Management: Avoid entering at high numbers (+15, -15) - trend may be exhausted Example:Candle: +1, +2, +3 ← Small pullback, BUY Continue: +4, +5, +6, +7 Exit: When counter resets to -1 Strategy 3: Trend Exhaustion DetectionWarning Signs: Counter reaches +10 or higher → Uptrend may be overextended Counter reaches -10 or lower → Downtrend may be overextended Action: Tighten stop losses Take partial profits Watch for reversal patterns (doji, engulfing) Strategy 4: Multi-Timeframe AnalysisSetup: Add indicator to 3 timeframes (e.g., 15m, 1h, 4h) Look for alignment Best Trades:15m: +1 (new uptrend) 1h: +5 (established uptrend) 4h: +3 (strong uptrend) → HIGH PROBABILITY BUY 6. Setting Up Alerts {#alerts}Built-in Alert Conditions:The script includes 2 automatic alerts: "Uptrend Started" - Triggers when counter = +1 "Downtrend Started" - Triggers when counter = -1 How to Set Up Alerts:Step 1: Right-click on chart Select "Add Alert" Step 2: Configure Alert Condition: Select "Trend Candle Counter" Choose: "Uptrend Started" or "Downtrend Started" Options: Once per bar close (recommended) Webhook URL (for automation) Step 3: Notification Settings ✅ Popup ✅ Send email ✅ Push notification (mobile app) ✅ Play sound Step 4: Create Alert Click "Create" Custom Alert Ideas:Alert for Specific Candle Numbers: Notify when counter reaches +5 or -5 Notify when counter exceeds +10 or -10 (exhaustion) 7. Troubleshooting {#troubleshooting}Common Issues & Solutions:Issue 1: Labels are too cluttered Solution: Disable "Show Candle Numbers" in settings Use larger timeframe Reduce label size to "tiny" Issue 2: Too many false signals Solution: Increase "Trend Detection Length" (e.g., 20, 50) Wait for +2 or -2 confirmation Combine with other indicators Issue 3: Trend line doesn't match price action Solution: Adjust EMA length to match your trading style Consider using different trend detection (SMA, HMA) Issue 4: Indicator not showing on chart Solution: Check if it's in a separate pane - move to main chart Refresh the page Re-add the indicator Issue 5: Counter seems delayed Solution: This is normal - indicator confirms on candle close For faster signals, use lower timeframe Reduce EMA length (but expect more noise) 8. Advanced Tips 💡Combining with Other Indicators:Best Combinations: RSI + Trend Candle Counter Buy at +1 when RSI > 50 Sell at -1 when RSI < 50 MACD + Trend Candle Counter Confirm +1 with MACD bullish crossover Confirm -1 with MACD bearish crossover Volume + Trend Candle Counter Strong trends (+1) should have increasing volume Low volume at high numbers (+10) = exhaustion Reading Market Psychology: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}Counter ValueMarket Psychology+1 to +3Early adopters entering+4 to +7Momentum building+8 to +12FOMO phase+13+Extreme greed - caution!-1 to -3Early sellers-4 to -7Panic building-8 to -12Capitulation-13+Extreme fear - reversal likely9. Real Trading Example 📊Scenario: BTC/USD 1H ChartTime | Counter | Action --------|---------|---------------------------------- 10:00 | -8 | Downtrend established 11:00 | -9 | Still falling 12:00 | -10 | Exhaustion zone - watch closely 13:00 | +1 | ✅ BUY SIGNAL - Trend reversal! 14:00 | +2 | Confirmation - trend valid 15:00 | +3 | Hold position 16:00 | +4 | Add to position (optional) 17:00 | +5 | Move stop loss to breakeven ... 22:00 | +11 | Take partial profits 23:00 | +12 | Tighten stop loss 00:00 | -1 | ❌ EXIT - Trend reversed
مؤشر Pine Script®
من ‎lohanineeraj‎
AI Agent PRIMEFLOW v1AI Agent PRIMEFLOW v1 — Trend + Breakout + Smart Stops *By AI Agent Community* ## Overview PRIMEFLOW v1 is a clean, rules-based signal tool that fires only when **trend + regime + market structure** align. It combines a **baseline trend**, a **volatility regime filter** (ATR z-score), and **Donchian breakouts**, with **ATR bands** and **Chandelier-style stops** for risk control. Optional **HTF confirmation** keeps entries in sync with higher-timeframe bias. > Built from public trading concepts (EMA/KAMA/HMA baselines, Donchian breakout, ATR trailing). No proprietary code used. --- ## What it does (3-Layer Confirmation) 1. **Trend** – EMA50/200 relationship + user-selectable baseline (EMA/HMA/KAMA). 2. **Regime** – ATR% z-score filter reduces chop; “Conservative/Balanced/Aggressive” modes adjust threshold. 3. **Structure** – Donchian breakout confirms momentum beyond recent range. Only when all three align do BUY/SELL labels appear. ATR bands and dynamic stops are plotted for exits and trailing. --- ## Signals & Risk * **Long**: Trend up (EMA50>EMA200), regime trending, price crosses above baseline **and** breaks the prior Donchian high. * **Short**: Mirror conditions to the downside. * **Stops**: Auto-plotted **Long/Short Stop** (ATR-based, Chandelier-style). * **Targets**: Consider 1.5–2× ATR or ATR bands; keep a runner with trailing stop. --- ## Inputs (key) * **Signal Mode**: Conservative / Balanced / Aggressive (regime threshold). * **Use Heikin Ashi Source** (optional smoothing). * **Structure Lookback (Donchian)**. * **Volatility Lookback** (for ATR z-score). * **Baseline Type & Length**: EMA / HMA / KAMA. * **Trend Filter EMAs**: Fast (default 50) vs Slow (default 200). * **HTF Confirmation**: set a higher TF (blank = off). * **ATR Length & Multiplier** (bands & stops). * **Style toggles**: Bands, regime background, labels. --- ## Recommended Presets **XAUUSD – M15 (scalping/intraday)** * Mode: *Balanced* · Baseline: *EMA 50* · Donchian: *20* · ATR: *10 × 2.5* · HTF: *H1*. **XAUUSD – H1 (intraday)** * Baseline: *KAMA 50* · Donchian: *25* · ATR: *14 × 2.5* · HTF: *H4*. **BTCUSDT – H1 (crypto)** * Baseline: *EMA 100* · Donchian: *30* · ATR: *14 × 2.0* · HTF: *H4* · Mode: *Conservative* in chop. --- ## Alerts (ready) Create alerts **Once Per Bar Close**: * **PRIMEFLOW Long** – long entry condition met. * **PRIMEFLOW Short** – short entry condition met. * **Trail Flip (Long)** – long trailing stop flips (exit/trim). * **Trail Flip (Short)** – short trailing stop flips. Tip: Route alerts to your bot/Telegram/WA webhook. Include placeholders (e.g., `{{ticker}} | {{interval}} | {{close}} | LONG/SHORT | SL: {{plot("Long Stop")}}`). --- ## Best Practices * Avoid taking breakouts that are **>1.5× ATR** away from baseline (overextended). * Re-enter on pullbacks while trend & regime remain valid. * Around high-impact news (NFP/FOMC), wait 15–30 minutes after release. * Use **HTF 4×** your chart TF (e.g., M15→H1, H1→H4). --- ## Who it’s for Swing/scalp traders who want higher-quality trend entries with **built-in structure confirmation** and **clear risk lines**, especially on **XAUUSD** and **BTC**. --- ## Notes * This is an **indicator** (not a strategy). A strategy/backtest version can be provided. * Educational purposes only. Not financial advice. Trading involves risk. **Tags:** trend, breakout, ATR, Donchian, chandelier stop, regime filter, XAUUSD, BTC, scalping, intraday, multi-timeframe, heikin ashi **Changelog** v1.0 – Initial release: 3-Layer Confirmation, ATR bands/stops, HTF bias, 4 alerts.
مؤشر Pine Script®
من ‎aiagentcommunity‎
3Bars [TheAlphaGroup]3Bars Setup (Original by. Larry Williams) The “3Bars” is a classic setup from Larry Williams, designed to capture short-term reversals within a larger trend. It uses very simple ingredients: moving averages of the highs and lows. How It Works Bands Calculation – A short moving average (default = 3) is applied separately to the Highs and to the Lows. – The average of the Lows forms the lower band . – The average of the Highs forms the upper band . Trade Logic – In an uptrend (price above a longer MA, default = 21 EMA or SMA), the system looks for longs.  • Entry: Buy at the lower band.  • Exit: Sell at the upper band. – In a downtrend (price below the 21 EMA/SMA), the system looks for shorts.  • Entry: Sell at the upper band.  • Exit: Cover at the lower band. Safety Net – If the trade doesn’t hit its band exit, it is force-closed after X bars (default = 7). – Users can select SMA or EMA for both the bands and the trend filter. – Direction can be toggled: Long only, Short only, or Both. Why It’s Interesting The method tries to ride the market “channel” between recent highs and lows. It doesn’t chase breakouts, it waits for price to pull back into a band before positioning. It’s rule-based and mechanical, which makes it easy to test and automate. Disclaimer This script is for educational and research purposes only . It is not financial advice and does not guarantee profitability. Always backtest on multiple markets and timeframes, and use proper risk management. About the Yellow Warning Box “Caution! This strategy may use look-ahead bias…” Note: The warning shows because Pine doesn’t “trust” limit orders that are priced with data from completed bars. The current version is already safe (no repaint/look-ahead) , but TradingView cannot automatically confirm that. To silence the warning, you’d need to shift all logic by one more bar ( ) or use market orders. But that sacrifices realism. If you care about accurate band-based fills more than the warning box, it is safe to ignore it.
استراتيجية Pine Script®
من ‎TheAlphaGroup‎