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Bull Market Support Band Alert (20W SMA & 21W EMA) - Multi-Alert═══════════════════════════════════════════════════════════════════ 🎯 WHAT THIS INDICATOR DOES: ═══════════════════════════════════════════════════════════════════ This indicator monitors the Bull Market Support Band (BMSB) - a popular trend-following system that uses the 20-week Simple Moving Average (SMA) and 21-week Exponential Moving Average (EMA) to identify major market trends. It alerts you when price crosses either moving average on any stock in your watchlist. ═══════════════════════════════════════════════════════════════════ 📈 THE BULL MARKET SUPPORT BAND STRATEGY: ═══════════════════════════════════════════════════════════════════ - ABOVE both MAs = Bullish trend (consider holding/buying) - BELOW both MAs = Bearish trend (consider caution/selling) - CROSSING ABOVE = Potential trend change to bullish - CROSSING BELOW = Potential trend change to bearish Originally popularized by cryptocurrency analysts, the BMSB has proven effective across all markets for identifying major trend changes. ═══════════════════════════════════════════════════════════════════ ⚡ KEY FEATURES: ═══════════════════════════════════════════════════════════════════ ✅ Single alert monitors your ENTIRE watchlist ✅ Works on ANY timeframe (daily, 4H, 1H) while maintaining weekly MA accuracy ✅ Visual signals when crosses occur (green/red arrows) ✅ Real-time status table showing current values ✅ Background coloring for quick trend identification ✅ Customizable alert settings for crosses above/below ═══════════════════════════════════════════════════════════════════ 🔔 HOW TO SET UP ALERTS: ═══════════════════════════════════════════════════════════════════ 1. Add this indicator to your chart 2. Click Alert (alarm icon) 3. Select "BMSB Watchlist Alert" → "BMSB Cross Alert" 4. Choose your alert frequency: • "Once Per Bar" = Immediate alerts (for active traders) • "Once Per Bar Close" = Confirmed signals (fewer false alarms) 5. CHECK "Apply to all symbols in watchlist" ← IMPORTANT! 6. Select your watchlist and create ═══════════════════════════════════════════════════════════════════ ⚙️ RECOMMENDED SETTINGS: ═══════════════════════════════════════════════════════════════════ 📍 FOR SWING TRADERS: - Chart: Daily timeframe - Alert Trigger: Once Per Bar Close - Both crosses enabled 📍 FOR ACTIVE TRADERS: - Chart: 4H or Daily timeframe - Alert Trigger: Once Per Bar - Both crosses enabled 📍 FOR LONG-TERM INVESTORS: - Chart: Weekly timeframe - Alert Trigger: Once Per Bar Close - Focus on crosses above ═══════════════════════════════════════════════════════════════════ 📊 VISUAL ELEMENTS: ═══════════════════════════════════════════════════════════════════ - BLUE LINE = 20-week Simple Moving Average - RED LINE = 21-week Exponential Moving Average - GREEN ARROWS = Price crossed above BMSB - RED ARROWS = Price crossed below BMSB - GREEN BACKGROUND = Price above both MAs (bullish) - RED BACKGROUND = Price below both MAs (bearish) - STATUS TABLE = Current price position and MA values ═══════════════════════════════════════════════════════════════════ 💡 PRO TIPS: ═══════════════════════════════════════════════════════════════════ 1. The indicator calculates WEEKLY MAs regardless of your chart timeframe 2. Best used with liquid stocks/cryptos with good volume 3. Consider waiting for daily/weekly close for confirmation 4. Crosses are more significant after extended periods above/below 5. Works great with additional confirmation (volume, RSI, etc.) ═══════════════════════════════════════════════════════════════════ ⚠️ IMPORTANT NOTES: ═══════════════════════════════════════════════════════════════════ - FREE accounts limited to 1 active alert - Alerts check based on YOUR selected timeframe, not the weekly MA calculation - False signals possible during ranging/choppy markets - Not financial advice - use as one tool among many ═══════════════════════════════════════════════════════════════════ 👨‍💻 AUTHOR'S NOTE: ═══════════════════════════════════════════════════════════════════ Built for traders who want to monitor multiple stocks efficiently without creating dozens of individual alerts. Perfect for identifying major trend changes across your entire portfolio with a single alert. Tags: #BMSB #BullMarketSupportBand #20WeekSMA #21WeekEMA #TrendFollowing #MovingAverage #WatchlistAlert #MultiTimeframe #SwingTrading #TrendTrading
Wskaźnik Pine Script®
od N1c4
RMBS Smart Detector - Multi-Factor Momentum System # RMBS Smart Detector - Multi-Factor Momentum System ## Overview RMBS (Smart Detector - Multi-Factor Momentum System) is a proprietary scoring method developed by Ario, combining normalized RSI and Bollinger band positioning into a single composite metric. --- ## Core Methodology ### Buy/Sell Logic  Marker (green or red )appear when **all four filters** pass: **1. RMBS Score (Momentum Strength)** From the formula Bellow Combined Range: -10 (extreme bearish) to +10 (extreme bullish) Signal Thresholds: • BUY: Score > +3.0 • SELL: Score < -3.0 2. EMA Trend Filter BUY: EMA(21) > EMA(55) → Uptrend confirmed SELL: EMA(21) < EMA(55) → Downtrend confirmed 3. ADX Strength Filter Minimum ADX: 25 (adjustable 20-30) ADX > 25: Trending market → Signal allowed ADX < 25: Range-bound → Signal blocked 4. Alternating Logic Prevents signal spam by requiring alternation: ✓ BUY → SELL → BUY (allowed) ✗ BUY → BUY → BUY (blocked) ________________________________________ Mathematical Foundation RMBS Formula: scoring method developed by Ario RMBS = (RSI – 50) / 10 + ((BB_pos – 50) / 10) where: • RSI = Relative Strength Index (close, L) • BB_pos = (Close – (SMA – 2 σ)) / ((SMA + 2 σ) – (SMA – 2 σ)) × 100 • σ = standard deviation of close over lookback L • SMA = simple moving average of close over lookback L • L = rmbs_length (period setting) This produces a normalized composite score around zero: • Positive → bullish momentum and upper band dominance • Negative → bearish momentum and lower band pressure • Near 0 → neutral or transitional zone Input Parameters ADX Threshold (default: 25) • Lower (20-23): More signals, less filtering • Higher (28-30): Fewer signals, stronger trends • Recommended: 25 for balanced filtering Signal Thresholds • BUY: +3.0 (adjustable) • SELL: -3.0 (adjustable) Visual Options • Marker colors • Background highlights • Alert settings ________________________________________ Usage Guidelines How to Interpret • 🟢 Green Marker: All conditions met for Bull condition • 🔴 Red Marker: All conditions met for Bear condition • No Marker: Waiting for confirmation ________________________________________ Important Disclaimers ⚠️ Educational Purpose Only • This tool demonstrates multi-factor technical analysis concepts • Not financial advice or trade recommendations • No guarantee of profitability ⚠️ Known Limitations • Less effective in ranging/choppy markets • Requires proper risk management (stop-loss, position sizing) • Should be combined with fundamental analysis ⚠️ Risk Warning Trading involves substantial risk of loss. Past performance does not indicate future results. Always conduct your own research and consult professionals before trading. ________________________________________ Open Source Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome. “All logic is presented for research and educational visualization.” --- **Attribution & Fair Use Notice** The RMBS scoring framework (Multi-Factor Momentum System) was originally designed and formulated by *Ahmadrezarahmati( Ario or Ario_ Pine Lab)*. If you build upon, modify, or republish this logic—please include proper attribution to the original author. This request is made under a spirit of open collaboration and educational fairness.
Wskaźnik Pine Script®
od Ario_pinelab
Donchian Channels + Avg Width % DashboardMeasures the average percentage width between the Donchian Channel’s upper and lower bands over a chosen period. It quantifies how much the market has been moving relative to price — a direct gauge of realized volatility. When the average width is small, price is range-bound and unlikely to reach fixed TP targets; when it expands, volatility is sufficient for trend or breakout trades. Based on how fast your strategy is, set your TP% below the average percentage of the Band Width.
Wskaźnik Pine Script®
od mehrdaddxgpem
Session Breakout Detector (SBD)Overview: The Session Breakout Detector (SBD) is a TradingView indicator designed to identify and visualize breakouts from major trading sessions. It tracks a selected session (Tokyo, London, or New York) and detects price movements beyond the session's high or low, assisting traders in spotting potential breakout opportunities. Key Features: - Session Selection: Choose between Tokyo, London, or New York sessions. - Breakout Detection Modes: - Confirmed Bar: Detects breakouts when a candle closes beyond the session's range. - Intrabar: Detects breakouts as soon as the price exceeds the session's high or low within a candle. - Visual Indicators: - Displays session high, low, and range with a colored box for clear visualization. - Marks breakouts with green (bullish) or red (bearish) triangles. - Optional 50-Period SMA: Adds a 50-period Simple Moving Average to the chart for trend analysis. - Alerts: Configurable alerts for bullish and bearish breakouts. Usage Instructions: 1. Select Session: Choose the desired trading session (Tokyo, London, or New York) from the input settings. 2. Choose Breakout Detection Mode: Select between 'By confirmed bar' or 'By intrabars' based on your trading preference. 3. Enable SMA (Optional): Toggle the 'Use SMA?' option to display the 50-period Simple Moving Average. 4. Set Alerts: Configure alerts for breakout signals as per your trading strategy. ⚠️Note: This indicator is intended for informational purposes only and should not be construed as financial advice. Users are encouraged to conduct their own research and consider their individual risk tolerance before making trading decisions.
Wskaźnik Pine Script®
od TheWaveHunter
SabinaCounter-trend strategy working only in long. Principle of Operation The strategy is based on market extremes, which serve as both the signals for opening a position and for closing it. These extremes possess data such as Open, High, Low, Close, and others. The length and the shift (positive or negative) of the extremes are also configurable. The extreme Ext is used for closing the position, and the extreme Ent is used for opening the position. Base Order A dedicated percentage of the deposit is specified. If the price crosses the Ent extreme, a long position is opened. Take Profit and Stop Loss The Take Profit level is calculated from the average price. A trailing stop order is present by default, which is set by the Ext extreme. When the price crosses this extreme, the position will be closed if the Take Profit has not yet been reached. Grid of Orders (Averaging) This section allows for enabling or disabling the grid of orders. In the order grid, you can specify the percentage below the base order at which the grid's limit orders should be placed. The grid step is also configurable. The leverage for all orders, including the base order, is set here. The order grid consists of 10 orders, and each order can be assigned its own percentage of the deposit. This gives the strategy greater flexibility compared to a standard DCA (Dollar-Cost Averaging) grid. Information Panel A table displays the historical price drop at a given moment, providing some insight into the potential liquidation level based on the selected leverage. The table also shows the deposit utilization (how much of the deposit is currently tied up).
Strategia Pine Script®
od Len-in
Bob Volman + EMA + TP/SL Smart (EZSignals V1)A smart scalping system inspired by Bob Volman’s price action methodology. Combines EMA trend filtering with automatic TP/SL management and precise entry logic. Designed for intraday traders who seek clean, efficient scalps with minimal noise. 🔹 Features: EMA-based trend confirmation Smart TP/SL auto calculation Dynamic signal filtering (avoid false breakouts) Visual entry & exit markers for better clarity 📈 Perfect for scalpers who want Volman-style precision with modern risk control.
Wskaźnik Pine Script®
od EZSignalsteam
Hotzones EssentialsThe Hotzones essentials kit combines key price action principles into a single kit. These features come together to form a unique approach to price action trading. The Killzone Blocks are a precision-engineered market-mapping system designed to identify high-liquidity price regions zones where institutional participants and smart money are most likely to interact. These areas often act as reaction points , where liquidity absorption, reversals, or continuation moves are started. By highlighting these zones, traders can potentially anticipate market intent and position themselves accordingly with greater confidence. Shown above is are Killzone Blocks highlighting their strength and deltas. Killzone Blocks are dynamically generated from significant structural shifts in the market where key areas where order flow and volume imbalance indicate a change in control between buyers and sellers. Each block represents a localized liquidity pocket, allowing users to visualize potential killzones which are regions where price is statistically more likely to bounce, reject, or consolidate before choosing direction. The algorithm continuously tracks structural breaks , pivot reactions , and volume clustering to ensure that every block represents a meaningful, data-driven region rather than random candle overlap. Volume and Delta Analysis Each Killzone Block carries an advanced volume breakdown that quantifies order-flow dynamics within the zone. Volume Data: Displays both bullish and bearish volume as a percentage of the total block volume, quantifying buying vs. selling intensity and helping traders gauge whether the zone was dominated by aggressive buyers or sellers. Gray Text (Order Block Volume Type): Shows metrics specific to the block’s nature. Bearish Blocks: Display only the bear volume (sell pressure) as a percentage of total OB volume. Bullish Blocks: Display only the bull volume (buy pressure) as a percentage of total OB volume. This separation removes noise and helps traders focus on which participant truly dominated the zone. Each block also features a Delta Indicator which is a color-coded circle offering instant insight into which side of the market was in control: 🔴 Red: Strong negative delta (-100% to -20%) = Sellers dominated. 🟡 Yellow: Neutral delta (-10% to +10%) = Market in balance or absorption. 🔵 Blue: Strong positive delta (+20% to +100%) = Buyers dominated. The delta represents the difference between buyer and seller volume within that block. A positive delta indicates aggressive buying absorption , while a negative delta suggests sell-side control . Shown above we see a very small delta with neutral volume. This is a very balanced market zone where we might be less likely to see a reaction. Customization and Inputs Users can tailor the Killzone Blocks to suit their analysis style: * Adjust the displayed block count to view short-term or long-term structures. * Choose whether zones are drawn from wicks or bodies . Wick-based zones are more reactive to intraday liquidity hunts, while body-based zones reflect institutional candle closings and conviction. Killzone Levels Killzone Levels expand on the concept of liquidity mapping by plotting the most influential horizontal levels in the market daily, weekly, and monthly highs and lows . These levels represent major liquidity pools where large clusters of stop orders, breakout triggers, and institutional re-entries often occur. Users can customize every visual aspect of these levels, including color, style, and line thickness if needed. These levels are crucial because markets tend to gravitate toward previous highs and lows to collect liquidity before reversing or extending the trend. Daily levels act as intraday targets, weekly levels provide swing and mid-term context, and monthly levels define macro liquidity boundaries where institutional flows are concentrated. When a Killzone Block aligns with a Killzone Level ; for example, a bullish block forming near a weekly low, it creates strong confluence and raises the probability of a meaningful reaction. Together, these levels transform simple horizontal lines into dynamic zones of opportunity. Open Range Breakout The Open Range Breakout feature identifies the first major liquidity window of each trading session, often referred to as the opening range or killzone window . This range is defined by the high and low formed within a user-defined session time (for example, 08:00–08:45 for the London session). Shown above is a breakout of a range. Once the window closes, the system locks in the session’s high and low, marking the balance point of early order flow. From this moment, price action is monitored in real time: - A break above the high generates a bullish breakout signal , confirming buyer control. - A break below the low generates a bearish breakout signal , confirming seller dominance. To enhance accuracy, the feature includes a Level 2 Confirmation setting. Rather than triggering on a wick or brief spike, this level confirms a breakout only when a full candle closes outside the open range . This ensures signals reflect genuine intent and continuation pressure instead of short-term liquidity sweeps. Seen above is confluence between a retest of a zone and a breakout. Traders use the Open Range Breakout to establish session bias ; whether the market is trending bullish or bearish for that specific session. Combined with Killzone Blocks and Levels, it forms a complete confluence system for identifying direction, gauging strength, and mapping high-probability reaction zones. Overall this toolkit provides 3 unique tools that come together to form powerful confluence and deeper insights into volume and price action.
Wskaźnik Pine Script®
od ChartPrime
17
Support and Resistance LevelsSupport and Resistance Levels Indicator Introducing an indicator that helps automatically identify key support and resistance levels. It analyzes historical data to detect price pivot points and draws horizontal lines based on them. This simplifies chart analysis and allows you to focus on important zones. How the Indicator Works The indicator searches for groups of pivot points (minimum three by default) that lie at the same price level within a specified tolerance (in ATR). If the price has bounced off this level three or more times—up or down—the indicator draws a line. The line displays all the points that formed it (small markers "•"). The line color depends on the type of the last point: green for support (lower pivots) and red for resistance (upper pivots). But remember, this is conditional—any level can act as support or resistance depending on the context. The key is that these are zones of interest where price often reacts. Features The indicator excels at finding strong levels, but on lower timeframes or during prolonged consolidation (sideways movement) due to market noise, it may draw many lines. To avoid accidentally removing useful levels, I didn't add automatic filtering. In such cases, just evaluate the levels manually—look at the context and the strength of the touches. Main Feature: Alerts for Premium Subscription If you have TradingView Premium, the indicator turns into a powerful scanner. Set up an alert for a list of hundreds of instruments: when the price on any of them approaches a level closely (by default within 0.15 ATR), you'll get a push notification. Add filters for trading volume (over 5 minutes or 24 hours) and volatility—and false signals are minimized. For example, you have a list of 100 instruments. Set up the alert—and you'll immediately receive notifications for all where the price is already close to a level: "BTCUSD on 1h: price near resistance level 60,000", "ETHUSD on 4h: price near support 3,000", and so on. And if later the price on any other instrument from the list approaches a level—you'll get a new message with details. All that's left is to open the relevant chart, assess the situation, and decide: enter the trade or skip it. This saves hours of monitoring! Индикатор уровней поддержки и сопротивления Представляю индикатор, который помогает автоматически находить ключевые уровни поддержки и сопротивления. Он анализирует исторические данные, выявляя точки разворота цены, и строит на их основе горизонтальные линии. Это упрощает анализ графика и позволяет фокусироваться на важных зонах. Как работает индикатор Индикатор ищет группы точек разворота (по умолчанию минимум три), которые лежат на одной ценовой отметке в пределах заданной погрешности (в ATR). Если цена трижды (или больше) отскакивала от этого уровня — вверх или вниз, — индикатор рисует линию. На линии отображаются все точки, которые её сформировали (маленькие метки "•"). Цвет линии зависит от типа последней точки: зелёный для поддержки (нижние развороты) и красный для сопротивления (верхние). Но помните, это условно — любой уровень может работать как поддержка или сопротивление в зависимости от контекста. Суть в том, что это зоны интереса, где цена часто реагирует. Особенности Индикатор хорошо справляется с поиском сильных уровней, но на низких таймфреймах или в длительной консолидации (боковике) из-за рыночного шума может появиться много линий. Чтобы не рисковать удалением полезных уровней, я не добавил автоматическую фильтрацию. В таких случаях просто оценивайте уровни вручную — смотрите на контекст и силу касаний. Главная фишка: Алерты для Premium-подписки Если у вас TradingView Premium, индикатор превращается в мощный сканер. Создайте алерт на список из сотен инструментов: когда цена на любом из них подойдёт близко к уровню (по умолчанию в пределах 0.15 ATR), вы получите push-уведомление. Добавьте фильтры по объёму торгов (за 5 минут или 24 часа) и волатильности — и ложные сигналы минимизированы. Например, у вас список из 100 инструментов. Настройте алерт — и сразу придут уведомления по всем, где цена уже близко к уровню: "BTCUSD на 1ч: цена у уровня сопротивления 60 000", "ETHUSD на 4ч: цена у поддержки 3000" и так далее. А если позже на любом другом инструменте из списка цена приблизится к уровню — придет новое сообщение с деталями. Остаётся только открыть нужный график, оценить ситуацию и решить: входить в сделку или пропустить. Это экономит часы мониторинга!
Wskaźnik Pine Script®
od maksimich357
Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial Table of Contents Installation Understanding the Indicator Signal Interpretation Settings Configuration Trading Strategies Best Practices Common Mistakes to Avoid 1. Installation {#installation} Step-by-Step Setup: Step 1: Access TradingView Go to TradingView.com Log in to your account (free account works fine) Step 2: Open Pine Editor Click on "Pine Editor" at the bottom of the chart If you don't see it, go to the top menu and select "Pine Editor" Step 3: Add the Script Click "New" to create a new indicator Delete any default code Copy the entire Institutional Activity Detector code Paste it into the editor Step 4: Save and Apply Click "Save" (give it a name like "Inst Detector") Click "Add to Chart" The indicator will now appear on your chart 2. Understanding the Indicator {#understanding} What It Detects: This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing: Volume Analysis Detects unusual volume spikes that indicate large players entering Compares current volume to 20-period average Institutional trades create volume 2-5x normal levels Order Flow Delta: Difference between buying and selling volume Positive delta = More buying pressure Negative delta = More selling pressure Institutions leave "footprints" in order flow Price Action Patterns Bullish Rejection Wicks: | <- Small upper wick | ███ <- Small body ███ | | | <- Large lower wick (rejection) Indicates institutions bought aggressively at lower prices Bearish Rejection Wicks: | | | <- Large upper wick (rejection) | ███ <- Small body ███ | <- Small lower wick Indicates institutions sold aggressively at higher prices Liquidity Grabs Institutions often: Push price above resistance or below support Trigger stop losses (grab liquidity) Reverse direction and trade the other way Dark Pool Activity Large block trades executed off-exchange: High volume with minimal price movement Indicates institutional accumulation/distribution without moving price 3. Signal Interpretation {#signals} Signal Types: 🟢 INSTITUTIONAL BUY Signal Appears as green triangle below candle with strength number (2-5) What it means: Institutions are actively accumulating (buying) Higher strength = More confirmation factors Strength Levels: 2-3: Moderate confidence - Wait for confirmation 4: High confidence - Strong institutional interest 5: Maximum confidence - Multiple factors aligned 🔴 INSTITUTIONAL SELL Signal Appears as red triangle above candle with strength number (2-5) What it means: Institutions are actively distributing (selling) Higher strength = More confirmation factors 🟠 Dark Pool (DP) Marker Small orange diamond What it means: Large block trade executed Accumulation/distribution happening quietly Often precedes significant moves Liquidity Zones Red boxes above price = Resistance/sell liquidity Green boxes below price = Support/buy liquidity Institutions target these zones to trigger stops 4. Settings Configuration {#settings} Recommended Settings by Asset Type: For Stocks (SPY, AAPL, TSLA): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 1H For Forex (EUR/USD, GBP/USD): Volume Spike Multiplier: 1.5 Volume Average Period: 30 Delta Threshold: 65% Minimum Signal Strength: 3 Timeframe: 15m, 1H, 4H For Crypto (BTC, ETH): Volume Spike Multiplier: 2.5 Volume Average Period: 20 Delta Threshold: 70% Minimum Signal Strength: 4 Timeframe: 15m, 1H, 4H For Futures (ES, NQ): Volume Spike Multiplier: 2.0 Volume Average Period: 20 Delta Threshold: 75% Minimum Signal Strength: 3 Timeframe: 5m, 15m, 30m Parameter Explanations: Volume Spike Multiplier (1.0 - 10.0) Lower = More sensitive (more signals, some false) Higher = Less sensitive (fewer signals, more reliable) Start with 2.0 and adjust based on your asset's volatility Delta Threshold % (50 - 100) Measures buying vs selling pressure 70% = Strong institutional bias required Lower for ranging markets, higher for trending Minimum Signal Strength (2 - 5) Number of factors that must align for a signal 2 = Very sensitive (many signals) 5 = Very conservative (rare signals) Recommended: 3-4 for balance 5. Trading Strategies {#strategies} Strategy 1: Liquidity Grab Reversal Setup: Price approaches a liquidity zone (green/red box) Price penetrates the zone briefly Institutional BUY/SELL signal appears Price reverses away from the zone Entry: Enter on the signal candle close Or wait for next candle confirmation Stop Loss: Below the liquidity grab low (for buys) Above the liquidity grab high (for sells) Take Profit: 2:1 or 3:1 risk/reward ratio Or next opposing liquidity zone Example: Price drops below support → Triggers stops → Institutional BUY signal (4-5 strength) → Enter LONG → Price rallies Strategy 2: Trend Continuation Setup: Identify the trend (higher highs/higher lows for uptrend) Wait for pullback to support in uptrend Institutional BUY signal appears during pullback Confirms institutions are adding to positions Entry: Enter on signal with strength ≥ 4 Or next candle after signal Stop Loss: Below the pullback low + small buffer Take Profit: Previous swing high Or trailing stop using ATR Strategy 3: Dark Pool Accumulation Setup: Dark Pool (DP) markers appear multiple times Price consolidates in tight range Institutional BUY signal with high strength appears Breakout occurs Entry: Enter on breakout candle after signal Or on retest of breakout level Stop Loss: Below consolidation range Take Profit: Measured move (height of consolidation projected) Strategy 4: Divergence Play Setup: Price makes lower low MFI/RSI makes higher low (bullish divergence) Institutional BUY signal appears Volume confirms with spike Entry: Enter on signal candle or next Stop Loss: Below the divergence low Take Profit: Previous swing high or resistance 6. Best Practices {#best-practices} ✅ DO's: 1. Use Multiple Timeframes Check higher timeframe for trend direction Trade signals that align with higher timeframe Example: 15m signals in direction of 1H trend 2. Combine with Key Levels Support/resistance Supply/demand zones Previous day high/low Round numbers (psychological levels) 3. Wait for Confirmation Don't rush into trades Let the signal candle close Watch next candle for follow-through 4. Check the Metrics Table Look at Relative Volume (should be >2.0) Check Delta % (should be strong positive/negative) Verify Order Flow aligns with signal 5. Consider Market Context News events can override signals Low liquidity times (lunch, overnight) less reliable Major economic releases need caution 6. Paper Trade First Test the indicator for 2-4 weeks Learn how it behaves on your chosen assets Develop confidence before using real money Best Times to Trade: Stock Market Hours: 9:30-11:30 AM EST (high volume, strong moves) 2:00-4:00 PM EST (institutional positioning) Avoid: 11:30 AM-2:00 PM (lunch, low volume) Forex: London Open: 3:00-6:00 AM EST New York Open: 8:00-11:00 AM EST London/NY Overlap: 8:00 AM-12:00 PM EST Crypto: 24/7 market, but highest volume during US/European hours Watch for weekend low liquidity 7. Common Mistakes to Avoid {#mistakes} ❌ DON'T: 1. Trade Every Signal Not all signals are equal Focus on strength 4-5 signals Wait for optimal setups 2. Ignore Market Structure Don't buy into strong downtrends (catch falling knife) Don't sell into strong uptrends (fight the tape) Respect major support/resistance 3. Use Too Small Timeframes 1m and 2m charts are too noisy Minimum recommended: 5m for scalping Better: 15m, 30m, 1H for reliability 4. Overtrade Quality over quantity 2-5 good trades per day is excellent Forcing trades leads to losses 5. Ignore Risk Management Always use stop losses Risk only 1-2% per trade Don't revenge trade after losses 6. Trade During Low Volume Signals less reliable with low volume Check Relative Volume metric (should be >1.5) Avoid pre-market/after-hours for stocks 7. Misread Liquidity Grabs Not every wick is a liquidity grab Need volume confirmation Must have institutional signal Advanced Tips: Filtering False Signals: Use Signal Strength Filter: Minimum strength 3 = Balanced Minimum strength 4 = Conservative (recommended) Minimum strength 5 = Ultra conservative Confluence Checklist: Signal strength ≥ 4 Relative volume > 2.0 At key support/resistance Aligns with higher timeframe trend Delta % strongly positive/negative Clean price action setup If 4+ boxes checked = High probability trade Setting Up Alerts: Click the three dots on the indicator Select "Create Alert" Choose condition: "Institutional Buy Signal" "Institutional Sell Signal" "Dark Pool Activity" Set up notification (email, SMS, app) Save alert Alert Strategy: Set minimum strength to 4 for fewer, better alerts Use for assets you can't watch constantly Don't rely solely on alerts - check chart context Practice Exercise: Week 1-2: Observation Add indicator to your favorite assets Watch how signals develop Note which ones lead to profitable moves Don't trade yet - just observe Week 3-4: Paper Trading Use TradingView's paper trading Trade only strength 4-5 signals Record results in a journal Note: entry, exit, profit/loss, what worked/didn't Week 5+: Small Live Positions Start with smallest position size Trade only your best setups Gradually increase size as you gain confidence Keep detailed journal Quick Reference Card: Signal Quality Ranking: 🔥 Best Setups (Take These): Strength 5 + Liquidity grab + Key level Strength 4-5 + Volume >3.0 + Trend alignment Dark Pool markers + Strength 4+ signal ✅ Good Setups: Strength 4 at support/resistance Strength 3-4 with strong delta Liquidity grab + Strength 3+ ⚠️ Caution (Wait for More): Strength 2-3 in middle of nowhere Against higher timeframe trend Low volume (Rel Vol <1.5) ❌ Avoid: Strength 2 only During major news Low liquidity hours Against strong trend Troubleshooting: "Too many signals" → Increase Minimum Signal Strength to 4 → Increase Volume Spike Multiplier to 2.5-3.0 "Too few signals" → Decrease Minimum Signal Strength to 2-3 → Decrease Volume Spike Multiplier to 1.5 "Signals not working" → Check if you're trading during low volume hours → Verify you're using recommended timeframes → Make sure signals align with market structure "Can't see liquidity zones" → Enable "Show Liquidity Zones" in settings → Adjust Swing Detection Length (try 7-15) Resources for Further Learning: Concepts to Study: Order Flow Trading Market Profile / Volume Profile Smart Money Concepts (SMC) Liquidity Sweeps and Stop Hunts Institutional Order Flow Wyckoff Method Volume Spread Analysis (VSA) Recommended Practice: Study past signals on chart Replay market using TradingView's bar replay feature Join trading communities to share setups Keep a detailed trading journal Final Thoughts: This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires: Proper risk management Market context understanding Patience and discipline Continuous learning Success Formula: Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits Start slow, master the basics, and gradually increase complexity as you gain experience. Good luck and trade smart! 📊📈
Wskaźnik Pine Script®
od lohanineeraj
Liq Levels [KoTa]Liq Levels User Guide Overview Liquidation Levels visualizes precomputed long & short liquidation price levels relative to the current market price. For each enabled leverage level (5×, 10×, 20× …), it draws two horizontal lines and small labels: Short liquidation line (above price) = price × short_multiplier Long liquidation line (below price) = price × long_multiplier You can choose which leverage levels to display, control label formatting, choose whether to use the previous bar’s close (no-repaint), change line style & extension, and toggle label size. Inputs / Settings (what they do) Use Previous Close (No Repaint) (useConfirmed) true: the indicator uses close (previous bar close) as reference. Prevents intrabar repainting — recommended for backtesting and stable signals. false: uses close (current price) — updates intrabar and will repaint during the bar. Show Price in Label (showValues) true shows the numeric price next to the x label (e.g., 5x : 42,952.78), false shows only 5x. Line Style (styleType) — "dot", "line", "dashed". Extend Lines (extendType) — "none", "left", "right", "both". Label Size (labelSize) — "normal", "small", "tiny". Show 5x / 10x / 20x ... 200x (show_5x, etc.) — which multipliers are drawn. Other technical details in code: barOffset = 4: label & short segment are placed 4 bars to the right of current bar (so label appears to the right of the bar). Numbers are formatted according to syminfo.mintick so labels display the appropriate decimal precision. The script cleans up previously drawn lines & labels on every bar (deletes old objects, draws fresh ones) — so the chart does not accumulate stale objects. What the lines represent (interpretation) Each multiplier is precomputed and represents a liquidation price factor used to estimate where positions would be forcibly closed for a given leverage (based on some margin model). Short multipliers > 1 → short liquidation prices sit above the reference price. Long multipliers < 1 → long liquidation prices sit below the reference price. Important: These multipliers are instrument- and margin-model-dependent. The indicator uses the hard-coded multipliers present in the script. Validate these against your exchange / contract type before relying on them for live position sizing. Why use this indicator? Use cases: Risk awareness — see where concentrated liquidation levels sit relative to price; helps avoid taking positions dangerously close to likely liquidation clusters. Liquidity / cascade detection — when price approaches a large cluster of liquidation levels, sharp moves and cascades can occur; indicator highlights such zones. Order placement & risk management — place stops or reduce leverage when price nears your liquidation zone. Trade context — helps decide whether to scale into or out of a trade if the current price is close to many leverage-level liquidation points. Quick start — how to use (step-by-step) Load the indicator on the chart. Choose Use Previous Close = true if you want non-repainting historical levels; false if you prefer intrabar updating. (Recommended: true for backtesting and strategy creation.) Enable the leverage levels you care about (e.g., 5×, 10×). Keep the number of enabled levels modest (3–4) to avoid clutter. Choose line style & extension. If you want persistent lines visible across the chart, use extend = left or both. If you only want ephemeral current-level markers, use none. Interpretation: If price is approaching the long liquidation line (below price), it’s a sign long positions could be liquidated if price drops further. Consider tightening stops or reducing leverage for long exposure. If price is approaching the short liquidation line (above price), short positions risk forced closure; similar risk management applies for shorts. Example strategy (practical, step-by-step) This is a risk-aware trend-following example that uses the indicator to avoid entering trades too close to liquidation clusters. Rules Timeframe: 15-minute or higher for clarity. Confirm trend with a 50 EMA: trendUp = price > EMA50 trendDown = price < EMA50 Entry (Long): trendUp is true. Price breaks above a short-term resistance or candle close above EMA20 (confirmation). Distance requirement: current price must be at least X% (example 3%) above the nearest long liquidation line (i.e., price / nearest_long_liquidation >= 1.03). Enter with defined stop loss: set SL below the nearest long liquidation line OR at a separate level (whichever is more conservative). Position sizing: choose leverage & size so distance to liquidation gives you at least Y% equity buffer (e.g., 3–5%). Exit / Take Profit: use risk/reward rule (e.g., 1:2 R:R), or trail stop using EMA or ATR. Concrete numeric example (worked): Suppose Use Previous Close = true and the indicator calculates 5× long liquidation at 95.618967 and 5× short at 110.668360 (example base price = 100). Computation (for clarity): 5× short: 1.10668360333397 × 100 = 110.668360333397 → label shows ~110.668360 20× long: 0.956189674354271 × 100 = 95.61896743542711 → ~95.618967 Entry rule: if price crosses above EMA20 and price / nearest_long_liquidation >= 1.03 (i.e., price ≥ 95.618967 × 1.03 = 98.487536), then entry allowed. If price = 101, condition satisfied (101 / 95.618967 ≈ 1.056). Why this helps: only enter when you have a buffer above your potential liquidation line; avoid entering directly on top of people’s liquidation levels. Advantages Immediate visual risk map — quickly see where liquidations are concentrated (both long & short). Configurable & non-repainting option — Use Previous Close reduces intrabar repainting for robust backtesting. Compact & readable — tiny labels and optional price display minimize chart clutter. Performance-friendly — script deletes and recreates objects each bar, keeping object counts stable and within limits. Precision formatting via syminfo.mintick so label decimals match the instrument. Disadvantages & risks / limitations Multipliers are fixed in the script — they may not reflect the exact margin/liquidation formula of every exchange / contract. Verify with exchange docs before relying on them for trade sizing. Repainting risk if Use Previous Close = false (intrabar updates). For backtests and alerts you should set it true. Not a predictor — liquidation levels are potential pressure zones, not guarantees of price movement. Many other market factors affect price action. Instrument-specific differences — inverse perpetuals, cross margin vs isolated margin, funding rates and insurance funds may change actual liquidation mechanics — the multipliers may be inaccurate for those. Chart object limits — TradingView has object limits. Although your script deletes and recreates objects each bar and uses max_* _count, using too many levels + large extend combinations on very low timeframes could impact platform performance. No automatic per-position calculation — the indicator shows levels relative to current price, not your entry; if you need per-trade liquidation price, you must compute using your entry price and actual margin/leverage settings. Visualizes common long/short liquidation price levels for several leverage multiples. Use the “Use Previous Close” option for stable, non-repainting levels. Verify multipliers vs your exchange before trading. Long description to paste (publish page content): include the “Why use”, “How to use”, and “Strategy example” sections above plus a short disclaimer (see below). Include a safety/legal disclaimer in the description: This indicator is educational and does not constitute financial advice. Multipliers are precomputed and may not precisely match the liquidation mechanics of every exchange or contract. Backtest and verify on your instruments before trading live. Final notes & suggestions for improvement If you want tighter integration with your position data (entry price, leverage, margin type), I can add per-trade liquidation calculation inputs (entry price, leverage, maintenance margin) and draw that liquidation line relative to the instrument.
Wskaźnik Pine Script®
od kointakipnet
Camarilla Pivots + 20 EMA StrategyThis is an intraday volatility and trend-following system for commodities like Natural Gas, combining dynamic pivot levels (Camarilla) with a trend filter (20-period EMA) to improve risk-reward and reduce false breakouts. Core Components 1. Camarilla Pivots: These are special support and resistance levels (H3, H4, L3, L4) calculated each day based on the previous day's high, low, and close. The pivots adapt to daily volatility, giving more relevant breakout and bounce zones than static lines. H4: Aggressive resistance (used for breakout LONG entry) H3: Moderate resistance/support (used for bounce or stoploss) L4: Aggressive support (used for breakout SHORT entry) L3: Moderate support/resistance (used for bounce or stoploss) 2. 20 EMA (Exponential Moving Average): Plotted on the 30-minute chart, this acts as a trend filter. If the price is above 20 EMA: Only look for long trades (bullish bias). If below 20 EMA: Only look for short trades (bearish bias). How the Strategy Works Setup (30-Min Chart): Camarilla pivots for the day are drawn on the chart. 20 EMA is also plotted. Trade Filter: Bullish: Trade ONLY if price is above 20 EMA. Bearish: Trade ONLY if price is below 20 EMA. Entry: LONG: Enter when price breaks and closes above the H4 pivot AND is above 20 EMA. SHORT: Enter when price breaks and closes below the L4 pivot AND is below 20 EMA. Stop Loss: LONG: Place stoploss at H3 (the next lower Camarilla resistance). SHORT: Place stoploss at L3 (the next higher Camarilla support). Target: Always set a profit target at 2x the distance (risk) between entry and stoploss (strict R:R 2). For example, if your entry is at H4 and stoploss at H3, your target is entry + 2*(entry - stoploss). Alerts & Visuals: The strategy plots entry arrows, stoploss and target lines for immediate visual reference. Alerts trigger on breakout signals so you never miss a trade. Why This Works Well for Natural Gas Adapts to volatility: The pivots change daily, handling wide-ranging and choppy price moves better than fixed breakouts. Trend filter: EMA prevents counter-trend whipsaws, only trades with market momentum. Risk control: Every trade must meet strict risk-reward criteria, so losses are contained and winners can outweigh losers.
Strategia Pine Script®
od vinaygaur97
LA - MACD EMA BandsOverview of the "LA - MACD EMA Bands" Indicator For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard" The "LA - MACD EMA Bands" is a custom technical indicator written in Pine Script v6 for TradingView. It builds on the traditional Moving Average Convergence Divergence (MACD) oscillator by incorporating additional smoothing via Exponential Moving Averages (EMAs) and Bollinger Bands (BB) applied directly to the MACD line. This creates a multi-layered momentum and volatility tool displayed in a separate pane below the price chart (not overlaid on the price itself). The indicator allows for customization, such as selecting a different timeframe (for multi-timeframe analysis) and adjusting period lengths. It fetches data from the specified timeframe using request.security with lookahead enabled to avoid repainting issues. The core idea is to provide insights into momentum trends, crossovers, and volatility expansions/contractions in the MACD's behavior, making it suitable for identifying potential trend reversals, continuations, or ranging markets. Unlike a standard MACD, which focuses primarily on momentum via a single line, signal line, and histogram, this version emphasizes longer-term smoothing and volatility boundaries. It uses visual fills between lines to highlight bullish/bearish conditions, aiding quick interpretation. Below, I'll break down each component, its calculation, visual representation, and practical uses. Detailed Breakdown of Each Component and Its Uses MACD Line (Blue Line, Labeled 'MACD Line') Calculation: This is the core MACD value, computed as the difference between a fast EMA (default length 12) and a slow EMA (default length 144) of the input source (default: close price). The EMAs are calculated on data from the selected timeframe. Visuals: Plotted as a solid blue line. Uses: Measures momentum: When above zero, it indicates bullish momentum (prices rising faster in the short term); below zero, bearish momentum. Trend identification: Rising MACD suggests strengthening uptrends; falling suggests downtrends. Divergence spotting: Compare with price action—e.g., if price makes higher highs but MACD makes lower highs, it signals potential bearish reversal (and vice versa for bullish divergence). In trading: Often used for entry/exit signals when crossing the zero line or other lines in the indicator. MACD EMA (Red Line, Labeled 'MACD EMA') Calculation: A 12-period EMA applied to the MACD Line itself. Visuals: Plotted as a solid red line. Uses: Acts as a signal line for the MACD, smoothing out short-term noise. Crossover signals: When the MACD Line crosses above the MACD EMA, it can signal a bullish buy opportunity; crossing below suggests a bearish sell. Trend confirmation: Helps filter false signals in choppy markets by requiring confirmation from this slower-moving average. In trading: Useful for momentum-based strategies, like entering trades on crossovers in alignment with the overall trend. Fill Between MACD Line and MACD EMA (Green/Red Shaded Area, Titled 'MACD Fill') Calculation: The area between the MACD Line and MACD EMA is filled with color based on their relative positions. Color Logic: Green (with 57% transparency) if MACD Line > MACD EMA (bullish); red if MACD Line < MACD EMA (bearish). Visuals: Semi-transparent fill for easy visibility without overwhelming the lines. Uses: Quick visual cue for momentum shifts: Green areas highlight bullish phases; red for bearish. Enhances readability: Makes crossovers more apparent at a glance, especially in fast-moving markets. In trading: Can be used to time entries/exits or as a filter (e.g., only take long trades in green zones). Bollinger Bands on MACD (BB Upper: Black Dotted, BB Basis: Maroon Dotted, BB Lower: Black Dotted) Calculation: Bollinger Bands applied to the MACD Line. BB Basis: 144-period EMA of the MACD Line. BB Standard Deviation: 144-period stdev of the MACD Line. BB Upper: BB Basis + (2.0 * BB Stdev) BB Lower: BB Basis - (2.0 * BB Stdev) Visuals: Upper and lower bands as black dotted lines; basis as maroon dotted Uses: Volatility measurement: Bands expand during high momentum volatility (strong trends) and contract during low volatility (ranging or consolidation). Mean reversion: When MACD Line touches or exceeds the upper band, it may signal overbought conditions (potential sell); lower band for oversold (potential buy). Squeeze detection: Narrow bands (squeeze) often precede big moves—watch for breakouts. In trading: Combines momentum with volatility; e.g., a MACD Line breakout above the upper band could confirm a strong uptrend. BB Basis EMA (Green Line, Labeled 'BB Basis EMA') Calculation: A 72-period EMA applied to the BB Basis (which is already a 144-period EMA of the MACD Line). Visuals: Solid green line. Uses: Further smoothing: Provides a longer-term view of the MACD's average behavior, reducing noise from the BB Basis. Trend direction: Acts as a baseline for the BB system—above it suggests bullish bias in momentum volatility; below, bearish. Crossover with BB Basis: Can signal shifts in volatility trends (e.g., BB Basis crossing above BB Basis EMA indicates increasing bullish volatility). In trading: Useful for confirming longer-term trends or as a filter for BB-based signals. Fill Between BB Basis and BB Basis EMA (Gray Shaded Area, Titled 'BB Basis Fill') Calculation: The area between BB Basis and BB Basis EMA is filled. Color Logic: Currently set to a constant semi-transparent gray regardless of position. Visuals: Semi-transparent gray fill. Uses: Highlights divergence: Shows when the shorter-term BB Basis deviates from its longer-term EMA, indicating potential volatility shifts. Visual aid for crossovers: Makes it easier to spot when BB Basis crosses its EMA. In trading: Could be used to identify overextensions in volatility (e.g., wide gray areas might signal impending mean reversion). Zero Line (Black Horizontal Line) Calculation: A simple horizontal line at y=0. Visuals: Solid black line. Uses: Reference point: Divides bullish (above) from bearish (below) territory for all MACD-related lines. In trading: Crossovers of the zero line by the MACD Line or BB Basis can signal major trend changes. How It Differs from a Normal MACD A standard MACD (e.g., the built-in TradingView MACD with defaults 12/26/9) consists of: MACD Line: EMA(12) - EMA(26). Signal Line: EMA(MACD Line, 9). Histogram: MACD Line - Signal Line (bars showing convergence/divergence). Key differences in "LA - MACD EMA Bands": Periods: Uses a much longer slow EMA (144 vs. 26), making it more sensitive to long-term trends but less reactive to short-term price action. The MACD EMA is 12 periods (vs. 9), further emphasizing smoothing. No Histogram: Replaces the histogram with fills and bands for visual emphasis on crossovers and volatility. Added Bollinger Bands: Applies BB directly to the MACD Line (with a long 144-period basis), introducing volatility analysis absent in standard MACD. This helps detect "squeezes" or expansions in momentum. Additional EMA Layer: The BB Basis EMA (72-period) adds a secondary smoothing level to the BB system, providing a hierarchical view of momentum (short-term MACD → mid-term BB → long-term EMA). Multi-Timeframe Support: Built-in option for higher timeframes, unlike basic MACD. Focus: Standard MACD is purely momentum-focused; this version integrates volatility (via BB) and multi-layer smoothing, making it better for trend-following in volatile markets but potentially overwhelming for beginners. Overall, this indicator transforms the MACD from a simple oscillator into a comprehensive momentum-volatility hybrid, reducing false signals in trending markets but introducing lag. Overall Pros and Cons Pros: Enhanced Visualization: Fills and bands make trends, crossovers, and volatility easier to spot without needing multiple indicators. Reduced Noise: Longer periods (144, 72) smooth out whipsaws, ideal for swing or position trading in trending assets like stocks or forex. Volatility Integration: BB adds a dimension not in standard MACD, helping identify breakouts or consolidations. Customizable: Inputs for timeframes and lengths allow adaptation to different assets/timeframes. Multi-Layered Insights: Combines short-term signals (MACD crossovers) with long-term confirmation (BB EMA), improving signal reliability. Cons: Lagging Nature: Long periods (e.g., 144) delay signals, missing early entries in fast markets or leading to late exits. Complexity: Multiple lines and fills can clutter the pane, requiring experience to interpret; beginners might misread it. Potential Overfitting: Custom periods (12/144/12/144/72) may work well on historical data but underperform in live trading without backtesting. No Built-in Alerts/Signals: Relies on visual interpretation; users must manually set alerts for crossovers. Resource Intensive: On lower timeframes or with lookahead, it might slow chart loading on Trading View. This indicator shines in strategies combining momentum and volatility, like trend-following with BB squeezes, but test it on your assets (e.g., via backtesting) to ensure it fits your style. For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard"
Wskaźnik Pine Script®
od aravindleo_99
LA - EMA Bands with MTF DashboardDetailed Explanation of the LA - EMA Bands with MTF Dashboard Indicator This custom Pine Script v6 indicator, designed for Trading View, overlays EMA-based price channels on the chart while incorporating a multi-timeframe (MTF) dashboard for broader market context. It focuses on visualizing trend direction and momentum through three sets of EMA bands, each representing different time horizons, and extends this with a tabular dashboard that summarizes signals across user-selected timeframes. The bands help identify support, resistance, and trend shifts, while the dashboard provides at-a-glance alignment across multiple periods, aiding in confirming trades or spotting divergences. Unlike volatility-based channels (e.g., Bollinger or Keltner), it relies solely on EMAs for simplicity and lag-reduced responsiveness. Inputs Section The script begins with user-configurable options grouped for ease. A timeframe input allows specifying a resolution for the EMA bands' data fetching, defaulting to the chart's timeframe if left empty—this enables higher-timeframe overlays on lower charts for context. Next, a shared source input defines the price data for all midlines, defaulting to the midpoint of high and low (hl2) but customizable to close, open, or others. The EMA bands have dedicated toggles and length inputs for each of the three sets: the first (long-term) defaults to 144 periods, the second (medium-term) to 72, and the third (short-term) to 12. These are inlined for compact settings panels, with minimum lengths of 1 to prevent errors. A boolean toggle controls the visibility of the MTF dashboard. Following this are nine pairs of inputs for dashboard timeframes: each pair includes a show/hide toggle and an editable timeframe string (e.g., '1' for 1-minute, 'D' for daily). Defaults progress from short (1, 3, 5 minutes) to longer (15, 30, 60 minutes, daily, weekly, monthly), grouped in inlines for organization. Only enabled and non-empty timeframes appear in the dashboard. Helpers Section Two utility functions are defined here. The first computes an EMA on any source series over a specified length using Trading View's built-in function, reused throughout for midlines and bands. The second function generates a signal string ("B" for buy/bullish, "S" for sell/bearish, or "-" for neutral) based on the direction of an EMA applied to high prices. It compares the current EMA value to the previous one, mirroring the band fill logic for consistency in the dashboard. Core Components per Band Set: Midline: An EMA calculated on a user-selectable source price (default: hl2, which is the midpoint between high and low prices). This acts as the central trend line. Upper Band: An EMA applied directly to the high prices of each bar. Lower Band: An EMA applied to the low prices of each bar. These form a channel that captures the smoothed range of price action, highlighting potential support (lower band), resistance (upper band), and overall trend direction (midline). Multiple Band Sets: The indicator includes three independent EMA band sets, each with its own length parameter for customization: EMA1 (default length: 144) – Focuses on long-term trends. EMA2 (default length: 72) – Targets medium-term trends. EMA3 (default length: 12) – Emphasizes short-term momentum. Each set can be toggled on or off via input checkboxes, allowing users to reduce chart clutter if needed. Visual Elements: Midline Plot: Displayed as a line colored based on its direction compared to the previous bar: green for rising (bullish), red for falling (bearish), and black for neutral (flat). Band Fill: The area between the upper and lower bands is filled with a semi-transparent color indicating the trend of the upper band: light green for rising (suggesting expanding highs/upward momentum) and light pink for falling (contracting highs/downward pressure). The bands themselves are plotted in blue with a thin linewidth. Multi-Timeframe Support: Users can input a custom timeframe (e.g., 'D' for daily), and the indicator fetches data from that resolution. This enables higher-timeframe context on lower-timeframe charts, such as viewing daily EMA bands on a 1-hour chart. Calculation Mechanics: All EMAs are computed using Trading View's built-in ta.ema() function. Data is retrieved in a single request.security() call for efficiency, with lookahead enabled to avoid repainting. No multipliers or volatility adjustments are included, making it a simple EMA-based envelope rather than a true volatility channel. In practice, this indicator helps traders identify trend strength, potential breakouts (price crossing bands), or mean-reversion opportunities (price bouncing within bands). It's particularly useful for swing or position trading where multi-period alignment (e.g., all midlines green) signals conviction. Pros Multi-Period Insight: By combining short (12), medium (72), and long (144) periods, it offers a layered view of trends across time horizons, helping confirm alignments or divergences without needing multiple separate indicators. Visual Clarity: Color-coded trends and fills make it easy to spot bullish/bearish shifts at a glance, reducing analysis time. Flexibility: Custom timeframe input allows for multi-timeframe analysis, while shared source and toggles provide user control. Simplicity and Efficiency: Purely EMA-based, it's computationally light and avoids overcomplication, making it accessible for beginners while still useful for spotting channel-based setups like squeezes or expansions. No Repainting: With lookahead, plots are stable once bars close. Cons Lagging Nature: EMAs inherently lag price action, especially longer ones like 144-period, which may cause delayed signals in fast-moving or ranging markets. Lack of Volatility Adjustment: Unlike Keltner Channels or Bollinger Bands, it doesn't incorporate ATR or standard deviation, so bands may not accurately reflect true volatility—potentially leading to false breakouts in high-volatility environments. Chart Clutter: Displaying all three band sets simultaneously can overcrowd the chart, particularly on lower timeframes or volatile assets. Subjective Interpretation: Color changes and band interactions require trader discretion; there's no built-in alerting or quantitative signals, which might lead to inconsistent results. Market Dependency: Defaults may not suit all assets (e.g., stocks vs. crypto); shorter periods like 12 could whipsaw in noisy markets, while 144 might be too slow for intraday trading. Justification for Default Values (12, 72, and 144) The default lengths of 12, 72, and 144 are not arbitrary but draw from established trading principles, particularly W.D. Gann's geometric and numerical theories, as well as Fibonacci sequences, to create a harmonic progression for short-, medium-, and long-term analysis. Here's the rationale: 12 (Short-Term): This is a common period for capturing recent momentum in technical indicators, often seen in setups like the MACD (which uses 12- and 26-day EMAs). It aligns with natural cycles, such as the 12 months in a year, and in Gann theory, 12 serves as a base unit for squaring price and time (e.g., in the "Square of 12" where multiples like 12, 24, etc., measure cycles in days, weeks, or months). At 12 periods, the EMA reacts quickly to price changes without excessive noise, making it ideal for short-term trend detection. 72 (Medium-Term): This acts as an intermediate bridge, derived from Gann's divisions of the 360-degree circle (a key Gann concept representing a full cycle). Specifically, 72 is 360/5 (relating to pentagonal geometry and natural harmonics) and appears in Gann's time cycle measurements (e.g., as a multiple in the Square of 12: 12×6=72). It's roughly half of 144, providing a balanced midpoint for medium-term trends without overlapping too closely with the others. In practice, 72 periods smooth out short-term fluctuations while still responding to developing trends. 144 (Long-Term): This is a powerhouse number in trading lore, being both 12 squared (12×12=144, central to Gann's "Square of 144" for monthly charts and major cycle turns, as there are 12 months in a year) and a Fibonacci sequence value (1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144...). Fibonacci periods are popular in moving averages for their alignment with natural growth patterns in markets, and 144 is often used for long-term regime definition (e.g., confirming trends over 144 bars). It helps identify major support/resistance in extended cycles. Overall, these values form a geometric/harmonic series (12, 72=12×6, 144=12×12), promoting alignment with market cycles as per Gann and Fibonacci principles, rather than generic lengths like 50 or 200. They can be adjusted based on the asset or timeframe, but the defaults provide a starting point rooted in time-tested trading numerology for balanced multi-period analysis. Please use this along with other indicators (eg. Pivot, MACD, etc) for better results.
Wskaźnik Pine Script®
od aravindleo_99
Market Pressure Differential (MPD) [SharpStrat]Market Pressure Differential (MPD) Concept & Purpose The Market Pressure Differential (MPD) is a proprietary indicator designed to measure the internal balance of buying and selling pressure directly on the price chart. Unlike standard momentum or trend indicators, MPD analyzes the structural behavior of each candle—its body, wicks, and overall range—to determine whether the market is dominated by expansion (buying aggression) or contraction (selling absorption). This indicator provides a visual overlay of market pressure that adapts dynamically to volatility, helping traders see real-time shifts in participation intensity without using oscillators. In simple terms: When MPD expands upward → buyer pressure dominates. When MPD contracts downward → seller pressure dominates. Calculation Overview MPD uses a structural candle formula to compute directional pressure: Body Ratio = (Close − Open) / (High − Low) Wick Differential = (Lower Wick − Upper Wick) / (High − Low) Raw Pressure = (Body Ratio × Body Weight) + (Wick Differential × Wick Weight) Then it applies: EMA smoothing (to stabilize short-term noise) Standard deviation normalization (to maintain consistent scaling) ATR projection (to adapt the signal visually to volatility) This produces the MPD projection line and the pressure ribbon, drawn directly on the main chart. Customizable Inputs Users can adjust color schemes, EMA smoothing length, ATR parameters, normalization length, and body/wick weighting to adapt the indicator’s sensitivity and aesthetic to different markets or chart themes. How to Use The Market Pressure Differential (MPD) visualizes the real-time balance between buying and selling pressure. It should be used as a contextual bias tool, not a standalone signal generator. The white line represents the MPD projection, showing how market pressure evolves in real time based on candle structure and volatility. The red line represents the ATR envelope, which defines the market’s expected volatility range. MPD reacts quickly to candle structure, so trend bias is based on how its projection behaves relative to the ATR envelope: Above the ATR band → positive pressure and bullish bias. Below the ATR band → negative pressure and bearish bias. Hovering near the ATR band → neutral or indecisive conditions. The MPD percentage in the label represents the normalized strength of pressure relative to recent volatility. Positive % = buying dominance. Negative % = selling dominance. Higher absolute values = stronger momentum compared to volatility. To trade with MPD: Watch candle colors and the projection line — green or positive % shows buyer control, red or negative % shows seller control. Note transitions above or below the ATR level for early signs of momentum shifts. Combine MPD signals with price structure, key levels, or volume for confirmation. This helps reveal which side controls the market and whether that pressure is strong enough to overcome typical volatility. Disclaimer It introduces a novel structural–pressure approach to visualizing market dynamics. For educational and analytical purposes only; this does not constitute financial advice.
Wskaźnik Pine Script®
od SharpStrat
Gho$t EMA CloudSimple 9/14EMA With Cloud system. Ghost EMA Cloud is a clean, minimal trend-tracking indicator designed to visualize short-term momentum shifts. It plots the 9-EMA (gray) and 14-EMA (white) while shading the area between them with dynamic cloud colors — green when momentum turns bullish, red when it weakens. The smooth cloud instantly highlights crossovers that often precede breakout or reversal moves. Optional 5-EMA and 12-EMA layers can be toggled on for extra precision without cluttering the chart. Ideal for intraday and swing traders, Ghost EMA Cloud helps you confirm entries, spot trend continuations, and time exits with clear visual simplicity and speed.
Wskaźnik Pine Script®
od Ghostmlt