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TrendBoxThis indicator is called "TrendBox," designed to help traders analyze daily price ranges using several technical indicators. Below is a breakdown of its functionality, purpose, and key components: Purpose The script overlays indicators on a chart to assess whether the price is above or below key levels and moving in a trend. VIX-based expected range (index fund targeted) - This helps calculate the expected dealers range based on VIX implications. You can expect to see ranges be bought on and sold on. Moving outside this range creates heightened volatility and most of the time a gamma squeeze follows. VWAP (Volume Weighted Average Price) - This allows you to understand the mid point or average pricing of the daily session. If you're paying a premium or getting a discount on the daily session. Daily Market Open - Identifying the market open price is a key level on a daily session and allows you to identify some level of intraday trend. Daily 4-period VWMA - This is a crucial role of our indicator and showing short term time frame bias. Seeing price move over the top of our daily 4 level establishes a short term trend and can be used as a distribution guide, closing positions when we see longer time frame candles close under it. Vice versa for shorting. It also displays a status box (optional) summarizing whether the price is above or below these levels, helping traders quickly evaluate market conditions.
Penunjuk Pine Script®
oleh OptionScalps
TTM Squeeze Value OscillatorThis indicator is specifically designed for use with TradingView's Stock Screener, not for chart analysis. It provides numerical values and binary signals that allow traders to efficiently scan stocks for specific TTM Squeeze conditions, momentum patterns, and EMA alignments. What It Does The TTM Squeeze Value Oscillator converts the popular TTM Squeeze indicator into a screenable format by outputting specific numerical values and binary signals (1 or 0) that can be filtered in TradingView's screener tool. Key Features 1. TTM Squeeze Compression Levels Value 0: Low Compression (Black) - Bollinger Bands inside outer Keltner Channels Value 1: Mid Compression (Red) - Bollinger Bands inside middle Keltner Channels Value 2: High Compression (Orange) - Bollinger Bands inside inner Keltner Channels Value 3: Squeeze Fired (Green) - Bollinger Bands outside Keltner Channels 2. Momentum Analysis Four distinct momentum conditions based on TTM Squeeze methodology: Buy Momentum Increasing - Positive momentum growing stronger Buy Momentum Decreasing - Positive momentum weakening Sell Momentum Increasing - Negative momentum growing stronger Sell Momentum Decreasing - Negative momentum weakening 3. EMA Stacking Analysis Three EMA alignment patterns using 8, 21, and 48 period EMAs: EMA Stacked Bullish - 8 EMA > 21 EMA > 48 EMA (uptrend alignment) EMA Stacked Bearish - 8 EMA < 21 EMA < 48 EMA (downtrend alignment) EMA Mixed - EMAs not in clear bullish or bearish alignment 4. Consecutive Day Counters Tracks how many consecutive days each squeeze condition has persisted: Low Compression Days Mid Compression Days High Compression Days Squeeze Fired Days 5. Combined Signal Analysis Pre-calculated combinations of squeeze conditions with momentum: All squeeze levels combined with all four momentum conditions 16 total combined signals for advanced screening
Penunjuk Pine Script®
oleh codename_trading
VARNI-LINE-CHART//@version=5 indicator("VARNI-LINE-CHART",shorttitle = "VARNI-LINE-CHART", overlay=false) // Input for Index and Expiry Date spot_ = input.string("BANKNIFTY", title = "Spot Symbol", options = , group = "Index") tooltip_day = "Enter the day of the expiry. Add 0 in front if the day is a single digit. For example: 05 instead of 5" tooltip_month = "Enter the month of the expiry. Add 0 in front if the month is a single digit. For example: 06 instead of 6" tooltip_year = "Enter the year of the expiry. Use the last two digits of the year. For example: 24 instead of 2024" _day = input.string("13", title = "Expiry Day", tooltip = tooltip_day, group="Expiry Date") _month = input.string("02", title = "Expiry Month", tooltip = tooltip_month, group="Expiry Date") _year = input.string("25", title = "Expiry Year", tooltip = tooltip_year, group="Expiry Date") // Input for Strikes tooltip_ = "You can select any Strike, and choose to include both strikes or just one" strike_ce = input.int(23500, "Call Strike", tooltip = tooltip_,step = 50, group = "Select Strike") strike_pe = input.int(23500, "Put Strike", tooltip = tooltip_,step = 50, group = "Select Strike") var string spot = na if spot_ == "SENSEX" spot := "BSX" else if spot_ == "BANKEX" spot := "BKX" else spot := spot_ // Option to include both strikes strike_choice = input.string("Combined", title = "Select Strike", options = , group = "Select Strike") // Generate symbols for Call and Put options var string symbol_CE = spot + _year + _month + _day + "C" + str.tostring(strike_ce) var string symbol_PE = spot + _year + _month + _day + "P" + str.tostring(strike_pe) // Request security data for both Call and Put options = request.security(symbol_CE, timeframe.period, ) = request.security(symbol_PE, timeframe.period, ) call_volume = request.security( symbol_CE, timeframe.period , volume ) put_volume = request.security( symbol_PE, timeframe.period , volume ) var float combined_open = 0 var float combined_high = 0 var float combined_low = 0 var float combined_close = 0 var float combined_vol = 0 // Calculate combined premium based on strike choice if strike_choice == "Combined" combined_open := call_open + put_open combined_close := call_close + put_close combined_high := math.max(combined_open, combined_close) combined_low := math.min(combined_open, combined_close) combined_vol := call_volume + put_volume else if strike_choice == "Only Call" combined_open := call_open combined_close := call_close combined_high := call_high combined_low := call_low combined_vol := call_volume else combined_open := put_open combined_close := put_close combined_high := put_high combined_low := put_low combined_vol := put_volume // Plot combined premium as a line chart plot(combined_close, title = "Combined Premium", color = combined_close > combined_open ? color.green : color.red, linewidth = 2) // Indicator selection use_ema_crossover = input.bool(false, title = "Use EMA Crossover", group = "Indicators") use_supertrend = input.bool(false, title = "Use Supertrend", group = "Indicators") use_vwap = input.bool(true, title = "Use VWAP", group = "Indicators") use_rsi = input.bool(false, title = "Use RSI", group = "Indicators") use_sma = input.bool(false, title = "Use SMA", group = "Indicators") pine_supertrend_value(factor, atrPeriod) => src = combined_close atr = ta.atr(atrPeriod) upperBand = src + factor * atr lowerBand = src - factor * atr prevLowerBand = nz(lowerBand ) prevUpperBand = nz(upperBand ) lowerBand := lowerBand > prevLowerBand or combined_close < prevLowerBand ? lowerBand : prevLowerBand upperBand := upperBand < prevUpperBand or combined_close > prevUpperBand ? upperBand : prevUpperBand int _direction = na float superTrend = na prevSuperTrend = superTrend if na(atr ) _direction := 1 else if prevSuperTrend == prevUpperBand _direction := combined_close > upperBand ? -1 : 1 else _direction := combined_close < lowerBand ? 1 : -1 superTrend := _direction == -1 ? lowerBand : upperBand superTrend pine_supertrend_dir(factor, atrPeriod) => src = combined_close atr = ta.atr(atrPeriod) upperBand = src + factor * atr lowerBand = src - factor * atr prevLowerBand = nz(lowerBand ) prevUpperBand = nz(upperBand ) lowerBand := lowerBand > prevLowerBand or combined_close < prevLowerBand ? lowerBand : prevLowerBand upperBand := upperBand < prevUpperBand or combined_close > prevUpperBand ? upperBand : prevUpperBand int _direction = na float superTrend = na prevSuperTrend = superTrend if na(atr ) _direction := 1 else if prevSuperTrend == prevUpperBand _direction := combined_close > upperBand ? -1 : 1 else _direction := combined_close < lowerBand ? 1 : -1 superTrend := _direction == -1 ? lowerBand : upperBand _direction // Input for EMA lengths fastLength = input.int(7, 'Fast EMA Length', group = "EMA") slowLength = input.int(12, 'Slow EMA Length', group = "EMA") // Input for SuperTrend atrLength = input.int(7, 'ATR Length', group = "SuperTrend") fac = input.float(2, 'Factor', group = "SuperTrend") // Input for RSI rsi_length = input.int(7, 'Length', group="RSI") rsi_ob_level = input.int(80, 'Overbought', group="RSI") rsi_os_level = input.int(20, 'Oversold', group="RSI") // Input for SMA sma_length = input.int(7, 'SMA Length', group = "SMA") var float fast_ema = na var float slow_ema = na var float supertrend = na var int direction = na var float rsi_val = na var float sma_val = na var float sumPriceVolume = na var float sumVolume = na var float vwap = na // Fast EMA if use_ema_crossover fast_ema := ta.ema(combined_close, fastLength) slow_ema := ta.ema(combined_close, slowLength) // Supertrend if use_supertrend supertrend := pine_supertrend_value( fac, atrLength) direction := pine_supertrend_dir( fac, atrLength) // VWAP if use_vwap if (dayofweek != dayofweek ) sumPriceVolume := 0.0 sumVolume := 0.0 vwap := 0.0 sumPriceVolume += combined_close * combined_vol sumVolume += combined_vol vwap := sumPriceVolume / sumVolume // RSI if use_rsi rsi_val := ta.rsi(combined_close, rsi_length) // SMA if use_sma sma_val := ta.sma(combined_close, sma_length) plot(fast_ema, title='Fast EMA', color=color.blue, linewidth=2) plot(slow_ema, title='Slow EMA', color=color.yellow, linewidth=2) plot(direction < 0 ? supertrend : na, "Up direction", color = color.green, style=plot.style_linebr) plot(direction > 0 ? supertrend : na, "Down direction", color = color.red, style=plot.style_linebr) plot(vwap, title='VWAP', color=color.purple, linewidth=2) plot(sma_val, title='SMA', color=color.maroon, linewidth=2) // Define buy and sell conditions based on selected indicators var bool buy = false var bool sell = false var int buyC = 0 var int sellC = 0 if dayofweek != dayofweek buyC := 0 sellC := 0 if use_ema_crossover buy := ( ta.crossover(fast_ema, slow_ema) ) and buyC == 0 sell := ( ta.crossunder(fast_ema, slow_ema) ) and sellC == 0 if use_vwap buy := ( buy ? buy and (combined_close > vwap and combined_close <= vwap ) : (combined_close > vwap and combined_close <= vwap )) and buyC == 0 sell := ( sell ? sell and (combined_close < vwap and combined_close >= vwap ) : (combined_close < vwap and combined_close >= vwap )) and sellC == 0 if use_rsi buy := ( buy ? buy and ta.crossover(rsi_val, rsi_ob_level) : ta.crossover(rsi_val, rsi_ob_level) ) and buyC == 0 sell := ( sell ? sell and ta.crossunder(rsi_val, rsi_os_level) : ta.crossunder(rsi_val, rsi_os_level) ) and sellC == 0 if use_sma buy := ( buy ? buy and ta.crossover(combined_close, sma_val) : ta.crossover(combined_close, sma_val) ) and buyC == 0 sell := ( sell ? sell and ta.crossunder(combined_close, sma_val) : ta.crossunder(combined_close, sma_val) ) and sellC == 0 if use_supertrend buy := ( buy ? direction == -1 : direction == -1 and direction == 1 ) and buyC == 0 sell := ( sell ? direction == 1 : direction == 1 and direction == -1 ) and sellC == 0 if buy buyC := 1 sellC := 0 if sell sellC := 1 buyC := 0 // Plot buy and sell signals plotshape(buy, title = "Buy", text = 'Buy', style = shape.labeldown, location = location.top, color= color.green, textcolor = color.white, size = size.small) plotshape(sell, title = "Sell", text = 'Sell', style = shape.labelup, location = location.bottom, color= color.red, textcolor = color.white, size = size.small) // Alert conditions alertcondition(buy, "Buy Alert", "Buy Signal") alertcondition(sell, "Sell Alert", "Sell Signal")
Penunjuk Pine Script®
oleh Mayursrivastav
Order Blocks v2Order Blocks v2 – Smart OB Detection with Time & FVG Filters Order Blocks v2 is an advanced tool designed to identify potential institutional footprints in the market by dynamically plotting bullish and bearish order blocks. This indicator refines classic OB logic by combining: Fractal-based break conditions Time-level filtering (Power of 3) Optional Fair Value Gap (FVG) confirmation Real-time plotting and auto-invalidation Perfect for traders using ICT, Smart Money, or algorithmic timing models like Hopplipka. 🧠 What the indicator does Detects order blocks after break of bullish/bearish fractals Supports 3-bar or 5-bar fractal structures Allows OB detection based on close breaks or high/low breaks Optionally confirms OBs only if followed by a Fair Value Gap within N candles Filters OBs based on specific time levels (3, 7, 11, 14) — core anchors in many algorithmic models Automatically deletes invalidated OBs once price closes through the zone ⚙️ How it works The indicator: Tracks local fractal highs/lows Once a fractal is broken by price, it backtracks to identify the best OB candle (highest bullish or lowest bearish) Validates the level by checking: OB type logic (close or HL break) Time stamp match with algorithmic time anchors (e.g. 3, 7, 11, 14 – known from the Power of 3 concept) Optional FVG confirmation after OB Plots OB zones as lines (body or wick-based) and removes them if invalidated by a candle close This ensures traders see only valid, active levels — removing noise from broken or out-of-context zones. 🔧 Customization Choose 3-bar or 5-bar fractals OB detection type: close break or HL break Enable/disable OBs only on times 3, 7, 11, 14 (Hopplipka style) Optional: require nearby FVG for validation Line style: solid, dashed, or dotted Adjust OB length, width, color, and use body or wick for OB height 🚀 How to use it Add the script to your chart Choose your preferred OB detection mode and filters Use plotted OB zones to: Anticipate price rejections and reversals Validate Smart Money or ICT-based entry zones Align setups with algorithmic time sequences (3, 7, 11, 14) Filter out invalid OBs automatically, keeping your chart clean The tool is useful on any timeframe but performs best when combined with a liquidity-based or time-anchored trading model. 💡 What makes it original Combines fractal logic with OB confirmation and time anchors Implements time-based filtering inspired by Hopplipka’s interpretation of the "Power of 3" Allows OB validation via optional FVG follow-up — rarely available in public indicators Auto-cleans invalidated OBs to reduce clutter Designed to reflect market structure logic used by institutions and algorithms 💬 Why it’s worth using Order Blocks v2 simplifies one of the most nuanced parts of SMC: identifying clean and high-probability OBs. It removes subjectivity, adds clear timing logic, and integrates optional confluence tools — like FVG. For traders serious about algorithmic-level structure and clean setups, this tool delivers both logic and clarity. ⚠️ Important This indicator: Is not a signal generator or financial advice tool Is intended for experienced traders using OB/SMC/time-based logic Does not predict market direction — it provides visual structural levels only
Penunjuk Pine Script®
oleh theunlockedtrading
3
Rolling 250-Day Sharpe RatioThis Pine Script indicator, “Rolling 250-Day Sharpe Ratio”, computes the trailing Sharpe Ratio for any traded asset over a 250-session window, equivalent to approximately one trading year. The script first derives daily log returns and adjusts them by subtracting the daily equivalent of the 3-month US Treasury yield to obtain the excess return. It then calculates the rolling mean and standard deviation of these excess returns to produce the annualized Sharpe Ratio, which is displayed as a continuous time series on the chart. This allows traders and analysts to assess how the asset’s risk-adjusted performance evolves over time relative to a risk-free benchmark. A persistently high Sharpe Ratio can indicate strong risk-adjusted returns, but it is essential to approach extreme values with caution. Elevated Sharpe readings can sometimes reflect unsustainable trends, excessive leverage, or periods of unusually low volatility that may revert abruptly. Conversely, a low or negative Sharpe Ratio does not automatically imply an asset should be avoided; it might signal an opportunity if the risk environment normalizes.
Penunjuk Pine Script®
oleh valentin_au
Market Shift Levels [ChartPrime]Market Shift Levels This indicator detects trend shifts and visualizes key market structure turning points using Hull Moving Average logic. It highlights potential areas of support and resistance where price is likely to react, empowering traders to spot early trend transitions. Market Shift Levels are horizontal zones that mark the moment of a directional change in market behavior. These shifts are based on crossovers between two smoothed Hull Moving Averages (HMA), allowing the indicator to detect potential reversals with minimal lag. Once a shift is detected: A dashed horizontal Market Shift Level is plotted at the low (for bullish shift) or high (for bearish shift) of the candle. These levels often become key reaction points during pullbacks and trend retests. Volume or price labels are added when price wicks into these levels, helping traders gauge the strength of rejection or acceptance. ⯁ KEY FEATURES Uses HMA-based logic to detect when price momentum shifts. Plots clean Market Shift Levels (MSLs) that act as dynamic support and resistance. Automatically colors bars and candles based on the price positioning relative to levels. Labels wick-based retests with either: Volume data of the 3-bar cluster (default). Price level if toggled. ⯁ HOW TO USE Look for trend shifts where the HMA crossover triggers a new level — this marks a possible structural pivot . Use the horizontal level as a dynamic support or resistance zone — especially when price returns with wick rejections. Watch for volume labels near the level — higher values signal stronger rejection and potential continuation. Combine with confluence tools like Smart Money concepts or Fibonacci levels for added edge. ⯁ EXAMPLE SETUPS After a bullish shift, wait for price to return and wick into the level — if volume spikes and candle closes strong, it’s a retest confirmation entry . After a bearish shift, bearish wick rejections with volume may signal short re-entry zones . ⯁ CONCLUSION The Market Shift Levels indicator offers a visual and data-backed approach to spotting trend reversals and critical retest zones. It’s a simple yet powerful tool to structure your trades around objective, repeatable market behavior — all in real-time.
Penunjuk Pine Script®
oleh ChartPrime
17
Session Makers v1 Session Makers v1 - Professional Trading Session Visualizer This advanced indicator highlights key trading sessions and market structure levels, helping traders identify optimal trading times and important price levels. Key Features: Session Time Markers - Vertical dotted lines at major market opens (London/New York) - Appears 30 minutes before each session for early preparation Interactive Session Boxes - Asia Session (22:00-06:00 GMT) - Blue shaded area - London AM (08:00-09:00 GMT) - Gray shaded area - London/New York Overlap (14:00-15:00 GMT) - Gray shaded area Key Reference Levels - Yesterday's high/low (with touch alerts) - Previous week's high/low (with touch alerts) - Asia session high/low/mid lines Smart Visual Design - Clean, non-cluttered visuals that adapt to your chart - Customizable colors and transparency for all elements - Optimized for all timeframes (M1-H4) only use in timeframes <= 15 min
Penunjuk Pine Script®
oleh aedem
Vol > 2×MA20Vol > 2×MA20 – שער-נפח לפריצות אמיתיות הסקריפט מדגיש בר־דקה שבו נפח המסחר הנוכחי גדול פי 2 מהממוצע-נע של 20 נרות (SMA-20). מטרתו לסנן “פריצות דקיקות” ולאמת שתנועה טכנית נתמכת בכסף אמיתי. חישוב – trigger = volume > 2 * sma(volume, 20) תצוגה – עמודות נפח כחולות רגילות קו אדום = ‎2 × SMA20 להצגת הסף נקודת Alert (💠) כאשר התנאי מתקיים AlertCondition – מובנה בשם “VolumeGate” (Once Per Bar Close מומלץ) טיימפריים מומלץ – גרף 1-דקה או 5-דקות; מתאים גם ל-Higher TF אם משנים את המכפיל. שימוש עיקרי – Day-Trading / סקאלפ: כניסה רק כשפריצה במחיר מלוּוָה בנפח כפול. פרמטרים ניתנים לשינוי – len (בר־אורך ממוצע; ברירת-מחדל = 20) mult (מכפיל נפח; ברירת-מחדל = 2) פשוט הוסף בקוד: len = input.int(20, "Length") mult = input.float(2.0, "Multiplier") כתב-ויתור – הסקריפט מספק אינדיקציה כמותית בלבד ואינו המלצה לביצוע עסקה. אשר נתוני Real-Time, חדשות וספרי פקודות לפני כל החלטה. Vol > 2 × MA20 — Volume Gate for Genuine Breakouts This script highlights any bar whose trading volume is at least twice the 20-bar simple moving average (SMA-20). Its goal is to filter out “thin” price spikes and confirm that a breakout is backed by real buying power. Logic – trigger = volume > 2 * sma(volume, 20) Visuals Regular volume columns in blue Red line = 2 × SMA-20 (the threshold) Diamond marker whenever the condition is met AlertCondition – Built-in under the name “VolumeGate” (use Once Per Bar Close for best results) Recommended time-frames – 1-minute or 5-minute charts; works on higher TFs if you adjust the multiplier. Primary use-case – Day-trading / scalping: enter trades only when a price breakout is accompanied by at least double the average volume. Customizable inputs pinescript Copy Edit len = input.int(20, "Length") mult = input.float(2, "Multiplier") Change them to suit different assets or market conditions. Disclaimer – This script provides a quantitative signal only and is not financial advice. Always confirm with real-time data, news, and order-book depth before acting. Ask ChatGPT
Penunjuk Pine Script®
oleh kutai007
Volatility Strategy 01a quantitative volatility strategy (especially effective in trend direction on the 15min chart on the s&p-index) the strategy is a rule-based setup, which dynamically adapts to the implied volatility structure (vx1!–vx2!) context-dependent mean reversion strategy based on multiple timeframes in the vix index a signal is provided under following conditions: 1. the vvix/vix spread has deviated significantly beyond one standard deviation 2. the vix is positioned above or below 3 moving averages on 3 minor timeframes 3. the trade direction is derived from the projected volatility regime, measured via vx1! and vx2! (cboe)
Penunjuk Pine Script®
oleh HerculeHerold
Volumatic Support/Resistance Levels [BigBeluga]🔵 OVERVIEW A smart volume-powered tool for identifying key support and resistance zones—enhanced with real-time volume histogram fills and high-volume markers. Volumatic Support/Resistance Levels detects structural levels from swing highs and lows, and wraps them in dynamic histograms that reflect the relative volume strength around those zones. It highlights the strongest price levels not just by structure—but by the weight of market participation. 🔵 CONCEPTS Price Zones: Support and resistance levels are drawn from recent price pivots, while volume is used to visually enhance these zones with filled histograms and highlight moments of peak activity using markers. Histogram Fill = Activity Zone: The width and intensity of each filled zone adjusts to recent volume bursts. High-Volume Alerts: Circle markers highlight moments of volume dominance directly on the levels—revealing pressure points of support/resistance. Clean Visual Encoding: Red = resistance zones, green = support zones, orange = high-volume bars. 🔵 FEATURES Detects pivot-based resistance (highs) and support (lows) using a customizable range length. Wraps these levels in volume-weighted bands that expand/contract based on percentile volume. Color fill intensity increases with rising volume pressure, creating a live histogram feel. When volume > user-defined threshold , the indicator adds circle markers at the top and bottom of that price level zone. Bar coloring highlights the candles that generated this high-volume behavior (orange by default). Adjustable settings for all thresholds and colors, so traders can dial in volume sensitivity. 🔵 HOW TO USE Identify volume-confirmed resistance and support zones for potential reversal or breakout setups. Focus on levels with intense histogram fill and circle markers —they indicate strong participation. Use bar coloring to track when key activity started and align it with broader market context. Works well in combination with order blocks, trend indicators, or liquidity zones. Ideal for day traders, scalpers, and volume-sensitive setups. 🔵 CONCLUSION Volumatic Support/Resistance Levels elevates traditional support and resistance logic by anchoring it in volume context. Instead of relying solely on price action, it gives traders insight into where real conviction lies—by mapping how aggressively the market defended or rejected key levels. It's a visual, reactive, and volume-conscious upgrade to your structural toolkit.
Penunjuk Pine Script®
oleh BigBeluga
2
MTF Dashboard 9 Timeframes + Signals📊 MTF Dashboard — Multi-Timeframe Market Signal Matrix Overview The MTF Dashboard is an open-source Pine Script tool that enables traders to monitor key trend and momentum indicators across nine timeframes simultaneously—ranging from 1 minute to monthly—within a single unified view. This script is designed to support both discretionary and rules-based traders by improving efficiency in multi-timeframe analysis. ✅ Key Features 🔄 Multi-Timeframe Coverage 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W, 1M supported Toggle individual timeframes on/off as per your trading style 📈 Built-in Technical Indicators Trend Detection: Based on moving average (EMA) crossovers Momentum Evaluation: Using Relative Strength Index (RSI) MACD Status: Displays histogram trend Volume Confirmation: Compares current volume to average Confluence Rating: Optional logic combining indicator signals 🎨 Custom Dashboard Appearance Supports light/dark chart modes Adjustable panel positioning (Top/Bottom/Center Left/Right) Multiple text size options Color settings for bullish, bearish, and neutral signals 🔔 Optional Alerts Alert conditions for confluence setups or trend changes (user must configure manually) Use Cases Identify trend alignment across short, medium, and long timeframes Confirm entry or exit signals with high-confidence confluence Detect early shifts in trend direction using EMA, RSI, MACD divergence Quickly assess overall market sentiment in one glance Limitations: This script does not provide financial advice or guaranteed signals Not intended for automatic trading or strategy backtesting Users should interpret dashboard signals in the context of price structure and risk management How to Use: Add the script to your chart from your favorites Open the settings panel: Enable only the timeframes you want to analyze Customize colors, position, and table layout Optionally, right-click the script to configure alerts based on confluence or indicator changes Technical Notes EMA settings can be adjusted to match your trading system Designed for visual clarity and performance with multiple timeframes enabled Credits This tool was developed to help the TradingView community simplify MTF analysis. Inspired by institutional-grade dashboards and adapted for manual charting use by retail traders. Tags #multi-timeframe #EMA #RSI #MACD #volume #confluence #dashboard #trend #momentum #open-source #pine-script #tradingview License Published as open-source under the TradingView community sharing model. Users are encouraged to modify, improve, and credit respectfully.
Penunjuk Pine Script®
oleh DeltaSpeedEdge
SDR Dashboard v3.1: 结构距离与节奏SDR Dashboard v3.1: User Guide & Trading Strategy 1. Introduction The SDR Dashboard is a comprehensive technical indicator designed to identify high-probability trend-following trade opportunities. It is built on the core principle of "buying the dip in an uptrend" and "selling the rally in a downtrend." To achieve this, the indicator combines three key elements of market analysis: Rhythm (The Long-Term Trend): Determines the overall market direction. Distance (The Pullback Location): Identifies when the price has pulled back to an area of potential value. Momentum (The Entry Trigger): Provides the final confirmation to enter a trade. A signal is only generated when all three conditions align, providing a clear and disciplined approach to trading. 2. Core Components Explained The indicator's logic is visualized through the background color and the oscillator at the bottom of the chart. Rhythm: The Background Color The background color is determined by the 200-period Exponential Moving Average (EMA), which defines the long-term trend. 🟦 Blue Background: The price is above the 200 EMA. The market is in an uptrend. You should ONLY look for BUY signals. 🟥 Red Background: The price is below the 200 EMA. The market is in a downtrend. You should ONLY look for SELL signals. ⬜ Gray Background: The price is hovering around the 200 EMA. The trend is unclear or the market is in a consolidation phase. You should STAY OUT and wait for a clear trend to establish. Distance: The Oscillator & Zones The multi-colored line at the bottom is the "Distance Oscillator." It measures how overbought or oversold the price is relative to its recent range (defaulting to the last 50 bars). Overbought Zone (Red Area > +80): In a downtrend, this indicates the price has rallied to a potential resistance level and may be due for a turn back down. Oversold Zone (Green Area < -80): In an uptrend, this indicates the price has dipped to a potential support level and may be due for a turn back up. Momentum: The Stochastic Cross (The Hidden Trigger) This indicator uses a standard Stochastic Oscillator in the background (not plotted to keep the chart clean) as the final entry trigger. A bullish crossover (K-line crossing above D-line) confirms that downside momentum is fading and buying pressure is returning. A bearish crossunder (K-line crossing below D-line) confirms that upside momentum is fading and selling pressure is returning. 3. How to Use: Trading Rules BUY Signal (Long Entry) Look for a green "▲" arrow below a candle. This signal appears ONLY when the following three conditions are met in order: Rhythm is Bullish: The chart background must be BLUE. Distance is Oversold: The Distance Oscillator must have recently dipped into the green "Support Zone" (below -80) within the last 3 bars. This shows a pullback has occurred. Momentum Confirms: The Stochastic Oscillator has just executed a bullish crossover. This is the trigger. Strategy: In a clear uptrend (blue background), wait for a price dip into the support area. Enter when the green arrow appears, confirming the dip is likely over and the uptrend is resuming. SELL Signal (Short Entry) Look for a red "▼" arrow above a candle. This signal appears ONLY when the following three conditions are met in order: Rhythm is Bearish: The chart background must be RED. Distance is Overbought: The Distance Oscillator must have recently pushed into the red "Resistance Zone" (above +80) within the last 3 bars. This shows a rally has occurred. Momentum Confirms: The Stochastic Oscillator has just executed a bearish crossunder. This is the trigger. Strategy: In a clear downtrend (red background), wait for a price rally into the resistance area. Enter when the red arrow appears, confirming the rally is likely over and the downtrend is resuming. 4. Best Practices & Risk Management No Indicator is Perfect: This tool provides high-probability setups, not guaranteed wins. Always use proper risk management, including setting a stop-loss for every trade. Context is Key: The indicator works best in trending markets. Be cautious during periods of low volatility or sideways chop (gray background). Parameter Tuning: The default settings are a balanced starting point. Feel free to experiment with the lookback periods and thresholds in the indicator's settings to optimize for different assets and timeframes.
Penunjuk Pine Script®
oleh gogptssss
VegaAlgo – Rating ViewVegaAlgo – Rating View is a market condition analysis tool designed to evaluate the current price structure. The indicator calculates a RATING (from 0 to 100) that reflects how clean, directional, and structured the recent price movement is. The rating is based on the number of price direction changes (from bullish to bearish candles and vice versa) within a selected period. Fewer direction changes indicate a clearer trend and result in a higher rating, while a choppy or highly volatile market leads to a lower score. Additionally, the indicator provides directional signals on three key timeframes — 1M, 5M, and 15M, using a comparison of fast and slow moving averages. This allows traders to quickly assess the dominant trend both locally and across higher timeframes. This script is intended for visual market analysis only and should not be considered financial advice.
Penunjuk Pine Script®
oleh VegaAlgo
Options Strategy V1.3📈 Options Strategy V1.3 — EMA Crossover + RSI + ATR + Opening Range Overview: This strategy is designed for short-term directional trades on large-cap stocks or ETFs, especially when trading options. It combines classic trend-following signals with momentum confirmation, volatility-based risk management, and session timing filters to help identify high-probability entries with predefined stop-loss and profit targets. 🔍 Strategy Components: EMA Crossover (Fast/Slow) Entry signals are triggered by the crossover of a short EMA above or below a long EMA — a traditional trend-following method to detect shifts in momentum. RSI Filter RSI confirms the signal by avoiding entries in overbought/oversold zones unless certain momentum conditions are met. Long entry requires RSI ≥ Long Threshold Short entry requires RSI ≤ Short Threshold ATR-Based SL & TP Stop-loss is set dynamically as a multiple of ATR below (long) or above (short) the entry price. Take-profit is placed as a ratio (TP/SL) of the stop distance, ensuring consistent reward/risk structure. Opening Range Filter (Optional) If enabled, the strategy only triggers trades after price breaks out of the 09:30–09:45 EST range, ensuring participation in directional moves. Session Filters No trades from 04:00 to 09:30 and from 16:00 to 20:00 EST, avoiding low-liquidity periods. All open trades are closed at 15:55 EST, to avoid overnight risk or expiration issues for options. ⚙️ Built-in Presets: You can choose one of the built-in ticker-specific presets for optimal conditions: Ticker EMAs RSI (Long/Short) ATR SL×ATR TP/SL SPY 8/28 56 / 26 14 1.4× 4.0× TSLA 23/27 56 / 33 13 1.4× 3.6× AAPL 6/13 61 / 26 23 1.4× 2.1× MSFT 25/32 54 / 26 14 1.2× 2.2× META 25/32 53 / 26 17 1.8× 2.3× AMZN 28/32 55 / 25 16 1.8× 2.3× You can also choose "Custom" to fully configure all parameters to your own market and strategy preferences. 📌 Best Use Case: This strategy is especially suited for intraday options trading, where timing and risk control are critical. It works best on liquid tickers with strong trends or clear breakout behavior.
Strategi Pine Script®
oleh olaszvandor