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Keltner Hull Suite [QuantAlgo]🟢 Overview The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes. 🟢 How It Works The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness: hullMA = ta.hma(priceSource, hullPeriod) The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process: tr = ta.tr(true) smoothTR = ta.ema(tr, keltnerPeriod) doubleSmooth = ta.ema(smoothTR, keltnerPeriod) deviation = doubleSmooth * keltnerMultiplier Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation: upperBound = hullMA + deviation lowerBound = hullMA - deviation The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction: trendUp = trendLine > trendLine trendDown = trendLine < trendLine longSignal = trendState == 1 and trendState != 1 shortSignal = trendState == -1 and trendState != -1 The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction. 🟢 How to Use This Indicator ▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment. ▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions. ▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration. ▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring. ▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
مؤشر Pine Script®
من ‎QuantAlgo‎
7
Ehlers Dominant Cycle Stochastic RSIEhlers Enhanced Cycle Stochastic RSI OVERVIEW The Ehlers Enhanced Cycle Stochastic RSI is a momentum oscillator that automatically adjusts its lookback periods based on the dominant market cycle. Unlike traditional Stochastic RSI which uses fixed periods, this indicator detects the current cycle length and scales its calculations—making it responsive in fast markets and stable in slow ones. The indicator combines John Ehlers' digital signal processing research with the classic Stochastic RSI indicator, then adds a confirmation system to ensure cycle measurements are reliable. THE THEORY Traditional oscillators use fixed lookback periods (ie, 14-bar RSI). This creates a fundamental problem: markets don't move in fixed cycles. A 14-period RSI might capture the rhythm perfectly during one market phase, then completely miss it when conditions change. Ehlers' research demonstrated that price data contains measurable cyclical components. If you can detect the dominant cycle length, you can tune your indicators to match it—like tuning a radio to the right frequency. This indicator takes that concept further by using three independent cycle detection methods and only trusting the measurement when they agree: Hilbert Transform — A mathematical technique from signal processing that extracts cycle period from the phase relationship between price and its derivative. It is fast but can be noisy. Autocorrelation Periodogram — Measures how similar the price series is to lagged versions of itself. The lag with highest correlation reveals the dominant cycle. More stable than Hilbert, but slightly slower to adapt. Goertzel Algorithm (DFT) — A frequency-domain approach that calculates spectral power at each candidate period. Identifies which frequencies contain the most energy. When all three methods converge on similar period estimates, confidence is high. When they disagree, the market may be in a non-cyclical or in transition. HOW IT CHANGES THE STOCHASTIC RSI Standard Stochastic RSI: 1. Calculate RSI with fixed period (14 bars) 2. Apply Stochastic formula over fixed period (14 bars) 3. Smooth with fixed periods Ehlers Enhanced Cycle Stochastic RSI: 1. Detect dominant cycle using three methods 2. Confirm cycle measurement (methods must agree) 3. Calculate RSI with period scaled to the detected cycle 4. Apply Stochastic formula with cycle-scaled lookback 5. Smooth adaptively The result: when the market is cycling quickly (say, 15-bar cycles), the indicator uses shorter periods and responds faster. When the market stretches into longer cycles (such as 40-bar cycles), it automatically extends its lookback to avoid whipsaws. The Period Multipliers let you fine-tune this relationship: • 1.0 = Use the full detected cycle (smoother, fewer signals) • 0.5 = Use half the cycle (more responsive, catches turns earlier) INTERPRETATION Reading the Oscillator: • K Line (Blue) — The main signal line. Moves between 0 and 100. • D Line (Orange) — Smoothed version of K. Use for confirmation. • Above 80 — Overbought. Momentum stretched to upside. • Below 20 — Oversold. Momentum stretched to downside. • Crossovers — K crossing above D suggests bullish momentum shift; K crossing below D suggests bearish. Spectral Dilation (optional): When enabled, applies a bandpass filter before cycle detection. This isolates the frequency band of interest and reduces noise. Useful for: • Very noisy instruments • Lower timeframes • When confidence stays persistently low
مؤشر Pine Script®
من ‎B3AR_Trades‎
NIFTY Weekly Option Seller DirectionalHere’s a straight description you can paste into the TradingView “Description” box and tweak if needed: --- ### NIFTY Weekly Option Seller – Regime + Score + Management (Single TF) This indicator is built for **weekly option sellers** (primarily NIFTY) who want a **structured regime + scoring framework** to decide: * Whether to trade **Iron Condor (IC)**, **Put Credit Spread (PCS)** or **Call Credit Spread (CCS)** * How strong that regime is on the current timeframe (score 0–5) * When to **DEFEND** existing positions and when to **HARVEST** profits > **Note:** This is a **single timeframe** tool. The original system uses it on **4H and 1D separately**, then combines scores manually (e.g., using `min(4H, 1D)` for conviction and lot sizing). --- ## Core logic The script classifies the market into 3 regimes: * **IC (Iron Condor)** – range/mean-reversion conditions * **PCS (Put Credit Spread)** – bullish/trend-up conditions * **CCS (Call Credit Spread)** – bearish/trend-down conditions For each regime, it builds a **0–5 score** using: * **EMA stack (8/13/34)** – trend structure * **ADX (custom DMI-based)** – trend strength vs range * **Previous-day CPR** – in CPR vs break above/below * **VWAP (session)** – near/far value * **Camarilla H3/L3** – for IC context * **RSI (14)** – used as a **brake**, not a primary signal * **Daily trend / Daily ADX** – used as **hard gates**, not double-counted as extra points Then: * Scores for PCS / CCS / IC are **cross-penalised** (they pull each other down if conflicting) * Final scores are **smoothed** (current + previous bar) to avoid jumpy signals The **background colour** shows the current regime and conviction: * Blue = IC * Green = PCS * Red = CCS * Stronger tint = higher regime score --- ## Scoring details (per timeframe) **PCS (uptrend, bullish credit spreads)** * +2 if EMA(8) > EMA(13) > EMA(34) * +1 if ADX > ADX_TREND * +1 if close > CPR High * +1 if close > VWAP * RSI brake: * If RSI < 50 → PCS capped at 2 * If RSI > 75 → PCS capped at 3 * Daily gating: * If daily EMA stack is **not** uptrend → PCS capped at 2 **CCS (downtrend, bearish credit spreads)** * +2 if EMA(8) < EMA(13) < EMA(34) * +1 if ADX > ADX_TREND * +1 if close < CPR Low * +1 if close < VWAP * RSI brake: * If RSI > 50 → CCS capped at 2 * If RSI < 25 → CCS capped at 3 * Daily gating: * If daily EMA stack is **not** downtrend → CCS capped at 2 **IC (range / mean-reversion)** * +2 if ADX < ADX_RANGE (low trend) * +1 if close inside CPR * +1 if near VWAP * +0.5 if inside Camarilla H3–L3 * +1 if daily ADX < ADX_RANGE (daily also range-like) * +0.5 if RSI between 45 and 55 (classic balance zone) * Daily gating: * If daily ADX ≥ ADX_TREND → IC capped at 2 (no “strong IC” in strong trends) **Cross-penalty & smoothing** * Each regime’s raw score is reduced by **0.5 × max(other two scores)** * Final IC / PCS / CCS scores are then **smoothed** with previous bar * Scores are always clipped to ** ** --- ## Regime selection * If one regime has the highest score → that regime is selected. * If there is a tie or close scores: * When ADX is high, trend regimes (PCS/CCS) are preferred in the direction of the EMA stack. * When ADX is low, IC is preferred. The selected regime’s score is used for: * Background colour intensity * Minimum score gate for alerts * Display in the info panel --- ## DEFEND / HARVEST / REGIME alerts The script also defines **management signals** using ATR-based buffers and Camarilla breaks: * **DEFEND** * Price moving too close to short strikes (PCS/CCS/IC) relative to ATR, or * Trend breaks through Camarilla with ADX strong → Suggests rolling away / widening / converting to reduce risk. * **HARVEST** * Price has moved far enough from your short strikes (in ATR multiples) and market is still range-compatible → Suggests booking profits / rolling closer / reducing risk. * **REGIME CHANGED** * Regime flips (IC ↔ PCS/CCS) with cooldown and minimum score gate → Suggests switching playbook (range vs trend) for new entries. Each of these has a plotshape label plus an `alertcondition()` for TradingView alerts. --- ## UI / Panel The **top-right panel** (optional) shows: * Strategy + final regime score (IC / PCS / CCS, x/5) * ADX / RSI values * CPR status (Narrow / Normal / Wide + %) * EMA Stack (Up / Down / Mixed) and EMA tightness * VWAP proximity (Near / Away) * Final **IC / PCS / CCS** scores (for this timeframe) * H3/L3, H4/L4, CPR Low/High and VWAP levels (rounded) These values are meant to be **read quickly at the decision time** (e.g. near the close of the 4H bar or daily bar). --- ## Intended workflow 1. Run the script on **4H** and **1D** charts separately. 2. For each timeframe, read the panel’s **IC / PCS / CCS scores** and regime. 3. Decide: * Final regime (IC vs PCS vs CCS) * Combined score (e.g. `AlignScore = min(Score_4H, Score_1D)`) 4. Map that combined score to **your own lot-size buckets** and trade rules. 5. During the life of the position, use **DEFEND / HARVEST / REGIME** alerts to adjust. The script does **not** auto-calculate lot size or P&L. It focuses on giving a structured, consistent **market regime + strength + levels + management** layer for weekly option selling. --- ## Disclaimer This is a discretionary **decision-support tool**, not a guarantee of profit or a replacement for risk management. No performance is implied or promised. Always size positions and manage risk according to your own capital, rules, and regulations.
مؤشر Pine Script®
من ‎distinctSeahor20287‎
IBIT premium（vs NAV）This Pine Script calculates and plots the real-time trading premium or discount of the IBIT ETF relative to its official Net Asset Value (NAV). It shows whether IBIT is trading above NAV (premium) or below NAV (discount) in percentage terms. This version is accurate because it uses TradingView’s built-in ETF NAV financial data, rather than estimating BTC per share. ⸻ Key Data Sources Used • Market Price: The script pulls the live IBIT market price from NASDAQ:IBIT. • Official NAV: It retrieves the daily Net Asset Value (NAV) using TradingView’s financial data function and expands it across all intraday timeframes so it can be compared with real-time prices. • Platform used: TradingView ⸻ How the Premium Is Calculated The script uses the standard ETF premium formula: \text{Premium (\%)} = \frac{\text{Market Price} - \text{NAV}}{\text{NAV}} \times 100 • Positive value → IBIT is trading at a premium • Negative value → IBIT is trading at a discount • Zero → IBIT is trading exactly at NAV ⸻ What the Chart Displays • A real-time premium (%) line in a separate indicator panel • A 0% reference line showing fair value • ±1% and ±2% guide lines for abnormal deviation detection • A live value label on the latest bar showing the exact current premium ⸻ Why This Script Is Accurate • Uses official ETF NAV, not a BTC-per-share estimate • NAV updates once per day, exactly as reported by the issuer • Works on all timeframes (1-minute to daily) • Shows true market mispricing, not synthetic BTC tracking error ⸻ How Traders Typically Use It • Detect temporary dislocations between IBIT price and NAV • Monitor liquidity stress during high volatility • Validate whether IBIT is trading efficiently versus BTC • Support ETF–BTC–Futures arbitrage analysis ⸻ Important Limitation • NAV is only updated once per trading day • During fast BTC moves, the premium may widen temporarily and normalize later via authorized participant (AP) arbitrage
مؤشر Pine Script®
من ‎luzehuayali‎
DH EMA 28/72/200 Unified Ribbon (Scaled HTF)Unified EMA Ribbon (28/72/200) This indicator merges two popular EMA systems — 21/55/200 and 34/89/200 — into a single, smoother trend-tracking ribbon. Each pair of EMAs is averaged to create: EMA 28 (average of 21 & 34) EMA 72 (average of 55 & 89) EMA 200 retained as long-term trend filter The unified ribbon reduces noise, improves trend clarity, and provides clean pullback zones for high-probability entries, especially on the H1 timeframe.
مؤشر Pine Script®
من ‎mustang2807‎
Daily ATR Dashboard - NIRALADaily ATR Dashboard: Volatility at a Glance What is this? The "Daily ATR Dashboard" is a simple, non-intrusive utility tool designed for intraday traders. It places a clean information table in the top-right corner of your chart, displaying the Daily Average True Range (DATR) for the current session and the previous two days. Why is it useful? Understanding daily volatility is crucial for setting realistic targets and stop-losses. Know the Range: Instantly see how much the instrument typically moves in a day. Context: Compare today's volatility with yesterday's and the day before to gauge if the market is expanding (becoming more volatile) or contracting (consolidating). Clean Charts: Instead of plotting a messy ATR line indicator below your price action, this dashboard gives you the raw data you need without cluttering your workspace. Features: Real-Time Data: The "Today" row updates in real-time as the current daily candle develops. Historical Context: Automatically fetches and displays the final DATR values for the previous two sessions ("Yesterday" and "Day Before"). Highlighted Current Day: The current day's data is highlighted in yellow for immediate visibility. Customizable: You can adjust the ATR length (default is 14) and the text size to fit your screen perfectly. How to Read It: Today: The current volatility of the ongoing daily session. Yesterday / Day Before: The finalized volatility of past sessions. Tip: If "Today's" ATR is significantly lower than the previous days, expect potential expansion or a breakout soon. If it is significantly higher, the market may be overextended. Settings: DATR Length: The lookback period for the ATR calculation (Default: 14). Text Size: Adjust the size of the table text (Tiny, Small, Normal, Large).
مؤشر Pine Script®
من ‎aknoshutters‎
My script//@version=6 indicator("ISIN demo") // Define inputs for two symbols to compare. string symbol1Input = input.symbol("NASDAQ:AAPL", "Symbol 1") string symbol2Input = input.symbol("GETTEX:APC", "Symbol 2") if barstate.islastconfirmedhistory // Retrieve ISIN strings for `symbol1Input` and `symbol2Input`. var string isin1 = request.security(symbol1Input, "", syminfo.isin) var string isin2 = request.security(symbol2Input, "", syminfo.isin) // Log the retrieved ISIN codes. log.info("Symbol 1 ISIN: " + isin1) log.info("Symbol 2 ISIN: " + isin2) // Log an error message if one of the symbols does not have ISIN information. if isin1 == "" or isin2 == "" log.error("ISIN information is not available for both symbols.") // If both symbols do have ISIN information, log a message to confirm whether both refer to the same security. else if isin1 == isin2 log.info("Both symbols refer to the same security.") else log.info("The two symbols refer to different securities.")
مؤشر Pine Script®
من ‎zlavreniukk‎
MTFToolkit-LibraryLibrary "MTFToolkit" Multi-Timeframe Utilities Library: conversions, Fibonacci, TF sorting, MTF helpers, color gradients, demo table timeframeToMinutes(tf)   Converts a timeframe string to minutes   Parameters:      tf (string) : Timeframe string (e.g., "1", "15", "1D", "1W", "1M")   Returns: Number of minutes as float minutesToTimeframe(minutes)   Converts minutes to a timeframe string   Parameters:      minutes (float) : Number of minutes   Returns: Timeframe string timeframeToSeconds(tf)   Converts a timeframe string to seconds   Parameters:      tf (string) : Timeframe string   Returns: Number of seconds secondsToTimeframe(seconds)   Converts seconds to a timeframe string   Parameters:      seconds (float) : Number of seconds   Returns: Timeframe string fiboGenerate(n)   Generates Fibonacci sequence up to n elements   Parameters:      n (int) : Number of elements   Returns: Array of Fibonacci numbers fiboMapToTV(arrFibo)   Maps Fibonacci values to TradingView timeframe strings   Parameters:      arrFibo (array) : Array of Fibonacci numbers   Returns: Array of timeframe strings arrayMergeUnique(arr1, arr2)   Merges two string arrays and keeps unique values   Parameters:      arr1 (array) : First array      arr2 (array) : Second array   Returns: Merged array with unique strings arrayFilterMax(arr, maxMinutes)   Filters TF array by max minutes   Parameters:      arr (array) : Array of timeframe strings      maxMinutes (float) : Maximum allowed minutes   Returns: Filtered array arraySortTF(tf_array, show_array, ascending)   Sorts TF array by minutes, optionally ascending   Parameters:      tf_array (array) : Array of timeframes      show_array (array) : Array of bool flags (for visibility)      ascending (bool) masterTF(arr)   Returns the largest TF from array (master)   Parameters:      arr (array) : Array of TF strings   Returns: Master TF slaveTF(arr)   Returns all TFs except master (slaves)   Parameters:      arr (array) : Array of TF strings   Returns: Array of slave TFs isTFIncreasing(prevTF, nextTF)   Checks if next TF is larger than previous   Parameters:      prevTF (string) : Previous timeframe      nextTF (string) : Next timeframe   Returns: true if nextTF > prevTF TFScore(values)   Computes simple average as score   Parameters:      values (array) : Array of float   Returns: Simple average (na if empty) gradient_triangular(value, mid_point, min_color, mid_color, max_color)   Produces a triangular gradient between 3 colors   Parameters:      value (float) : Current value (0–100 or any scale)      mid_point (float) : Center point of gradient      min_color (color) : Color at low end      mid_color (color) : Color at midpoint      max_color (color) : Color at high end   Returns: A color value TFColorGradient(tf_val, min_val, max_val)   Timeframe color gradient helper Converts a timeframe (in minutes) into a color using a red → yellow → green gradient.   Parameters:      tf_val (float) : Timeframe value in minutes      min_val (float) : Minimum expected minutes      max_val (float) : Maximum expected minutes   Returns: Color based on position between min_val and max_val ------------------------------------------------------------ TFColorGradientEx(tf_val, min_val, mid_val, max_val, low_color, mid_color, high_color)   Extended customizable timeframe gradient   Parameters:      tf_val (float) : Timeframe value in minutes      min_val (float) : Minimum minutes      mid_val (float) : Middle minutes      max_val (float) : Maximum minutes      low_color (color) : Color at min_val      mid_color (color) : Color at mid_val      high_color (color) : Color at max_val   Returns: Color determined by TF position ------------------------------------------------------------ demoTable(tf_arr, show_arr, dashboard_position, horizontal_table, show_header)   Creates a demo table for testing TF arrays   Parameters:      tf_arr (array) : Array of TF strings      show_arr (array) : Array of bools to show TFs      dashboard_position (string) : Position string      horizontal_table (bool) : true=horizontal, false=vertical      show_header (bool) : Show header row
مكتبة Pine Script®
من ‎pGONZO‎
Penny Stock Golden Cross ScannerPenny Stock Golden Cross Scanner Scan and track potential breakout opportunities in penny stocks with this Golden Cross Scanner. Designed for traders looking at low-priced, high-volume stocks, this indicator identifies bullish setups using 50, 100, and 200-period moving averages. Key Features: ✅ Monitors up to 10 user-defined tickers. ✅ Filters penny stocks by maximum price and minimum volume. ✅ Detects proximity to 100 MA and 200 MA for potential golden cross or support/resistance signals. ✅ Assigns signal tiers for each stock (Tier 1 🔥, Tier 2 ⚡, Tier 3 📊) based on price action relative to moving averages. ✅ Customizable scanner table with position options on the chart. ✅ Real-time plotting of 50, 100, and 200 moving averages for context. ✅ Option to display only stocks currently generating signals.
مؤشر Pine Script®
من ‎Timmy741‎
inyerneck Quiet Bottom Hunter v1.5 — VERIFIED SIGNALSQuiet Bottom Hunter v1.5 — 85%+ Rebound Setup Designed for new traders who want the highest-probability, lowest-stress small-cap entries. Triggers only when ALL of these line up: • –20% to –80% from 90-day high (slow bleed, not crash) • Volume ≤80% of 50-day average (dry, no panic selling left) • RSI(14) ≤35 (deep oversold) • 2+ consecutive green or flat days at the low (quiet bottom confirmed) Fires roughly 1–3 times per month on most small caps (<$2B). Backtested 2024–2025: 85% win rate, avg +32% rebound, max DD ~11%. Tiny green “QB” arrow = entry signal. Use 10–20% position size. Works best on daily charts. Public script — code visible. use on 1 day or 4 hr chart. mid term swings, NOT day trades No spam. No chasing. Just big, calm rebounds.
استراتيجية Pine Script®
من ‎oogabooger‎
HTF Bias & Session DashboardHTF Bias Dashboard is a lightweight tool that summarizes higher-timeframe direction and session context on any chart. It is designed for traders who want a quick directional overview directly on their chart. Included components • D1 and H4 Bias Bias is calculated using a configurable EMA. – If price is above the higher-timeframe EMA → bullish bias – If price is below the higher-timeframe EMA → bearish bias This provides a simple directional filter that helps avoid trades against the broader trend. • Session Information The dashboard detects the current UTC session and displays expected volatility conditions: – Asia: low volatility / accumulation – London: expansion – New York: continuation or reversal conditions This helps with timing decisions and understanding market behavior during different periods. • Symbol and Info Row Displays the active symbol along with a small info label for context. How to use This dashboard is intended for directional context only. A common approach is: – Trade in the direction of both D1 and H4 when they agree – Be more cautious when the two biases diverge – Consider session phase before making timing decisions It works on any market and any timeframe. Notes • This tool does not include signals or alerts. • It is meant for context only, not for generating entries or exits. • This script is original, open-source, and provided for educational and research purposes. Feedback and suggestions are welcome.
مؤشر Pine Script®
من ‎dr-mubashir‎
Market Movers TrackerMarket Movers Tracker — Live Big-Move + Volume + Gap Screener (2025) The cleanest, fastest, most beautiful real-time scanner for stocks, crypto, forex — instantly tells you: • Daily / Session / Weekly % change • HUGE moves (5%+) and BIG moves (3%+) with glowing background • Volume spikes (2x+ average) with orange bar highlights • Gap-up / Gap-down detection with arrows • Live stats table (movable to any corner) • “HUGE” / “BIG” / “Normal” status with emoji • Built-in alerts for huge moves, volume spikes & gaps Perfect for: → Day traders hunting momentum → Swing traders catching breakouts → Scalpers riding volume explosions → Anyone who wants to see the hottest movers at a glance Works on ANY symbol, ANY timeframe. Zero lag. Zero repainting. Pure price + volume truth. No complicated settings — turn it on and instantly see what’s moving the market right now. Not financial advice. Just the sharpest scanner on TradingView. Made with love for the degens, apes, and momentum chads & volume junkies.
مؤشر Pine Script®
من ‎Timmy741‎
Average True Range (ATR)Strategy Name: ATR Trend-Following System with Volatility Filter & Dynamic Risk Management Short Name: ATR Pro Trend System Current Version: 2025 Edition (fully tested and optimized)Core ConceptA clean, robust, and highly profitable trend-following strategy that only trades when three strict conditions are met simultaneously:Clear trend direction (price above/below EMA 50) Confirmed trend strength and trailing stop (SuperTrend) Sufficient market volatility (current ATR(14) > its 50-period average) This combination ensures the strategy stays out of choppy, low-volatility ranges and only enters during high-probability, trending moves with real momentum.Key Features & ComponentsComponent Function Default Settings EMA 50 Primary trend filter 50-period exponential SuperTrend Dynamic trailing stop + secondary trend confirmation Period 10, Multiplier 3.0 ATR(14) with RMA True volatility measurement (Wilder’s original method) Length 14 50-period SMA of ATR Volatility filter – only trade when current ATR > average ATR Length 50 Background coloring Visual position status: light green = long, light red = short, white = flat – Entry markers Green/red triangles at the exact entry bar – Dynamic position sizing Fixed-fractional risk: exactly 1% of equity per trade 1.00% risk Stop distance 2.5 × ATR(14) – fully adaptive to current volatility Multiplier 2.5 Entry RulesLong: Close > EMA 50 AND SuperTrend bullish AND ATR(14) > SMA(ATR,50) Short: Close < EMA 50 AND SuperTrend bearish AND ATR(14) > SMA(ATR,50) Exit RulesPosition is closed automatically when SuperTrend flips direction (acts as volatility-adjusted trailing stop). Money ManagementRisk per trade: exactly 1% of current account equity Position size is recalculated on every new entry based on current ATR Automatically scales up in strong trends, scales down in low-volatility regimes Performance Highlights (2015–Nov 2025, real backtests)CAGR: 22–50% depending on market Max Drawdown: 18–28% Profit Factor: 1.89–2.44 Win Rate: 57–62% Average holding time: 10–25 days (daily timeframe) Best Markets & TimeframesExcellent on: Bitcoin, S&P 500, Nasdaq-100, DAX, Gold, major Forex pairs Recommended timeframes: 4H, Daily, Weekly (Daily is the sweet spot)
مؤشر Pine Script®
من ‎Semtex76‎
OK A+ Setup Scanner + Score PanelOK A+ Setup Scanner (0–8 Score with Real-Time Panel) Designed to help swing traders quickly identify leader stocks forming high-probability breakout structures inspired by Oliver Kell’s super-performance methodology. This indicator analyzes trend strength, EMA alignment, volatility behavior, proximity to 52-week highs, volume dry-up, pullback structure, and breakout confirmation to generate a 0–8 “Kell Score” for every chart. Score 5+ = A+ setup candidate Score 7–8 = high-quality super-performance structure Background highlights A+ bars, and a real-time scoring panel displays: Current Kell Score Setup quality grade Trend/EMA alignment pass/fail Leadership (near highs) pass/fail Structure (pullback + volume) pass/fail
مؤشر Pine Script®
من ‎x_discipline_x‎