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المؤشرات والاستراتيجيات

GENESIS DHANUS A clean, non-repainting trend-following signal indicator. Buy signals appear when: • Fast EMA (9) crosses above Slow EMA (21) • RSI > 50 (bullish momentum) • Previous bar volume > 1.5× 20-period average • Price is above the current Heikin-Ashi "trend level" Sell signals use the exact opposite conditions. All conditions use confirmed data only (no future leak, no repainting). Perfect for swing trading and alert setups on any timeframe. Features: - Large clear arrows with text - Optional light background coloring - Precise alert conditions - EMA lines can be toggled 100% Pine Script v5 – open source and free.
مؤشر Pine Script®
من ‎Rappleh‎
LJ Parsons Harmonic Time StampsPurpose of the Script This script is designed to divide a specific time period on a market chart (from startDate to endDate) into fractional segments based on mathematically significant ratios. It then plots vertical lines at the first candle that occurs at or after each of these fractional timestamps. Each line is labeled according to an interval scheme, as outlined by LJ Parsons "Structured Multiplicative, Recursive Systems in Financial Markets" papers.ssrn.com Providing a symbolic mapping of time fractions zenodo.org Start (00) and End (00): Marks the beginning and end of the period. Intermediate labels (m2, M2, m3, M3, …): Represent divisions of the time period that correspond to specific fractions of the whole. This creates a visual “resonance map” along the price chart, where the timing of price movements can be compared to mathematically significant points. Parsons Market Resonance Theory proposes that markets move in patterns that are not random but resonate with underlying mathematical structures, analogous to logarithmic relationships. The key ideas reflected in this script are: Temporal Fractional Resonance By marking fractional points of a defined time period, the script highlights potential moments when market activity might “resonate” due to cyclical patterns. These points are analogous to overtones in music—certain times may have stronger market reactions. Mapping Market Movements to "Just Intonation" Intervals Assigning Interval labels to fractional timestamps provides a symbolic framework for understanding market behaviour. For example, the midpoint (P5) may correspond to strong market turning points, while minor or major intervals (m3, M6) might correspond to subtler movements. Identifying Potentially Significant Points in Time The plotted lines do not predict price direction but rather identify temporal markers where price movements may be more likely to display structured behaviour. Traders or researchers can then study price reactions around these lines for correlations with market resonance patterns. In essence, the script turns a period of time into a harmonic structure, with each line and label acting like a “note” in the market’s temporal symphony. It’s a tool to visualize and test whether price behaviour aligns with the resonant fractions hypothesized in MRT.
مؤشر Pine Script®
من ‎wallabimba‎
Traders edge indicator1Trend Confirmation: The primary trend is determined by the alignment of the long-term EMAs (e.g., 100 and 200). The trade direction should align with this overall trend. Entry/Exit Signals: Shorter EMAs (e.g., 9 or 20) are used for high-probability entry points. Pullbacks to these faster EMAs within the context of a strong trend are common entry signals. Dynamic Support and Resistance: The various EMAs and the VWAP line often act as magnetic levels where price tends to pause, reverse, or consolidate. VWAP as Mean Reversion Target: In a volatile market, if the price moves significantly away from the VWAP, it may be considered "overextended," and a mean-reversion move back towards the VWAP is often anticipated.
مؤشر Pine Script®
من ‎rcvemula‎
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
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
CriptoAlert AutoPlot (parser robusto)CriptoAlert AutoPlot is a utility indicator designed for traders who receive structured trading signals and want to automatically plot entry zones, targets, and stop levels on their TradingView chart — without manually drawing horizontal lines. This tool is ideal for users of Cripto.Alert or any trading methodology that outputs price levels in text format. How It Works Paste your full text-based trading signal into the input box, and the indicator automatically: Parses the text Extracts the following price levels: Entry Min Entry Max Target 1 Target 2 Target 3 Stop Draws horizontal dotted lines corresponding to each level Adjusts dynamically whenever you replace the signal text Allows you to hide all lines instantly using the “Clear values” toggle Lines behave exactly like native TradingView horizontal lines — they stay fixed to price regardless of zoom level or time frame. Supported Input Format Paste the full signal in a single line or multi-line format. The parser is flexible and recognizes the standard Cripto.Alert structure: Entrada: 0.882438 até 1.029428 Alvos: 1- 0.560266 (41.39%) 2- 0.362432 (62.09%) 3- 0.164599 (82.78%) Stop: 1.100001 (15.07%) You may also place everything on one line: Entrada: 0.882438 até 1.029428 Alvos: 1- 0.560266 | 2- 0.362432 | 3- 0.164599 Stop: 1.100001 Example of Extracted Values After parsing, the indicator internally produces: Entry Min: 0.882438 Entry Max: 1.029428 Target 1: 0.560266 Target 2: 0.362432 Target 3: 0.164599 Stop: 1.100001 These values are plotted automatically. Features Automatic parsing of trading signal text Horizontal dotted lines with adjustable opacity Layout-friendly design Clear-all option for quick chart cleanup Works on any market and any timeframe Reliable even when zooming or scaling the chart Ideal For Cripto.Alert users Professional and retail traders Swing traders and scalpers using multiple price levels Educators who want clean chart templates for teaching Anyone who frequently plots multiple horizontal levels manually Limitations Only parses numbers in the standard Cripto.Alert signal format Does not calculate risk/reward or validate signal quality Does not provide buy/sell recommendations This indicator is purely a visual aid to speed up your charting workflow.
مؤشر Pine Script®
من ‎FollowTheProfit‎
SNP420/TRCS_MASTERMicro Body Candle Highlighter is a visual tool for TradingView that continuously scans the active timeframe and highlights all candles with an extremely small body. For every bar (including the currently forming one), the indicator compares the absolute distance between Open and Close to a user-defined threshold in ticks (default: 1 tick, based on syminfo.mintick). If the candle’s body size is less than or equal to this threshold, the indicator draws a red frame around the candle – either around the body only or the full high-to-low range, depending on user settings. Optionally, the indicator can also trigger alerts whenever such a “micro body” candle is detected, allowing traders to react immediately to potential indecision, pauses, or micro-reversals in price action. author: SNP_420 project: FNXS ps: Piece and love
مؤشر Pine Script®
من ‎SNP_420‎
Renko ScalperWhat it is- A lightweight Renko Scalper that combines Renko brick direction with an internal EMA trend filter and MACD confirmation to signal high-probability short-term entries. EMAs are used internally (hidden from the chart) so the visual remains uncluttered. Signals- Buy arrow: Renko direction turns bullish AND EMA trend up AND MACD histogram positive. Sell arrow: Renko direction turns bearish AND EMA trend down AND MACD histogram negative. Consecutive same-direction signals are suppressed (only one arrow per direction until opposite signal). Visuals- Buy / Sell arrows (large) above/below bars. Chart background tints green/red after the respective signal for easy glance recognition. Inputs:- Renko Box Size (points) EMA Fast / EMA Slow MACD fast/slow/signal lengths How to use- Add to chart Use smaller Renko box sizes for scalping, larger for swing-like entries. Confirm signal with price action and volume—this indicator is a signal generator, not a full automated system. Use alerts (built in) to receive Buy / Sell arrow notifications. Alerts- Buy Arrow — buySignal Sell Arrow — sellSignal Buy Background / Sell Background — background-color state alerts Recommended settings- Timeframes: 1m–15m for scalping, 5m for balanced intraday. Symbols: liquid futures/currency pairs/major crypto. Disclaimer This script is educational and not financial advice. Backtest and forward test on a demo account before live use. Past performance is not indicative of future results. Use proper risk management.
مؤشر Pine Script®
من ‎ChandraBose2002‎
Grok/Claude Turtle Soup Strategy # 🥣 Turtle Soup Strategy (Enhanced) ## A Mean-Reversion Strategy Based on Failed Breakouts --- ## Historical Origins ### The Original Turtle Traders (1983-1988) The Turtle Trading system is one of the most famous experiments in trading history. In 1983, legendary commodities trader **Richard Dennis** made a bet with his partner **William Eckhardt** about whether great traders were born or made. Dennis believed trading could be taught; Eckhardt believed it was innate. To settle the debate, Dennis recruited 23 ordinary people through newspaper ads—including a professional blackjack player, a fantasy game designer, and an accountant—and taught them his trading system in just two weeks. He called them "Turtles" after turtle farms he had visited in Singapore, saying *"We are going to grow traders just like they grow turtles in Singapore."* The results were extraordinary. Over the next five years, the Turtles reportedly earned over **$175 million in profits**. The experiment proved Dennis right: trading could indeed be taught. #### The Original Turtle Rules: - **Entry:** Buy when price breaks above the 20-day high (System 1) or 55-day high (System 2) - **Exit:** Sell when price breaks below the 10-day low (System 1) or 20-day low (System 2) - **Stop Loss:** 2x ATR (Average True Range) from entry - **Position Sizing:** Based on volatility (ATR) - **Philosophy:** Pure trend-following—catch big moves by riding breakouts The Turtle system was a **trend-following** strategy that assumed breakouts would lead to sustained trends. It worked brilliantly in trending markets but suffered during choppy, range-bound conditions. --- ### The Turtle Soup Strategy (1990s) In the 1990s, renowned trader **Linda Bradford Raschke** (along with Larry Connors) observed something interesting: many of the breakouts that the Turtle system traded actually *failed*. Price would spike above the 20-day high, trigger Turtle buy orders, then immediately reverse—trapping the breakout traders. Raschke realized these failed breakouts were predictable and tradeable. She developed the **Turtle Soup** strategy, which does the *exact opposite* of the original Turtle system: > *"Instead of buying the breakout, we wait for it to fail—then fade it."* The name "Turtle Soup" is a clever play on words: the strategy essentially "eats" the Turtles by trading against them when their breakouts fail. #### Original Turtle Soup Rules: - **Setup:** Price makes a new 20-day high (or low) - **Qualifier:** The previous 20-day high must be at least 3-4 days old (not a fresh breakout) - **Entry Trigger:** Price reverses back inside the channel (failed breakout) - **Entry:** Go SHORT (against the failed breakout above), or LONG (against the failed breakdown below) - **Philosophy:** Mean-reversion—fade false breakouts and profit from trapped traders #### Turtle Soup Plus One Variant: Raschke also developed a more conservative variant called "Turtle Soup Plus One" which waits for the *next bar* after the breakout to confirm the failure before entering. This reduces false signals but may miss some opportunities. --- ## Our Enhanced Turtle Soup Strategy We have taken the classic Turtle Soup concept and enhanced it with modern technical indicators and filters to improve signal quality and adapt to today's markets. ### Core Logic Preserved The fundamental strategy remains true to Raschke's original concept: | Turtle (Original) | Turtle Soup (Our Strategy) | |-------------------|---------------------------| | BUY breakout above 20-day high | SHORT when that breakout FAILS | | SELL breakout below 20-day low | LONG when that breakdown FAILS | | Trend-following | Mean-reversion | | "The trend is your friend" | "Failed breakouts trap traders" | --- ### Enhancements & Improvements #### 1. RSI Exhaustion Filter **Addition:** RSI must confirm exhaustion before entry - **For SHORT entries:** RSI > 60 (buyers exhausted) - **For LONG entries:** RSI < 40 (sellers exhausted) **Why:** The original Turtle Soup had no momentum filter. Adding RSI ensures we only fade breakouts when the market is showing signs of exhaustion, significantly reducing false signals. This enhancement was inspired by later traders who found RSI extremes (originally 90/10, softened to 60/40) dramatically improved win rates. #### 2. ADX Trending Filter **Addition:** ADX must be > 20 for trades to execute **Why:** While the original Turtle Soup was designed for ranging markets, we found that requiring *some* trend strength (ADX > 20) actually improves results. This ensures we're trading in markets with enough directional movement to create meaningful failed breakouts, rather than random noise in dead markets. #### 3. Heikin Ashi Smoothing **Addition:** Optional Heikin Ashi calculations for breakout detection **Why:** Heikin Ashi candles smooth out price noise and make trend reversals more visible. When enabled, the strategy uses HA values to detect breakouts and failures, reducing whipsaws from erratic price spikes. #### 4. Dynamic Donchian Channels with Regime Detection **Addition:** Color-coded channels based on market regime - 🟢 **Green:** Bullish regime (uptrend + DI+ > DI- + OBV bullish) - 🔴 **Red:** Bearish regime (downtrend + DI- > DI+ + OBV bearish) - 🟡 **Yellow:** Neutral regime **Why:** Visual regime detection helps traders understand the broader market context. The original Turtle Soup had no regime awareness—our enhancement lets traders see at a glance whether conditions favor the strategy. #### 5. Volume Spike Detection (Optional) **Addition:** Optional filter requiring volume surge on the breakout bar **Why:** Failed breakouts are more significant when they occur on high volume. A volume spike on the breakout bar (default 1.2x average) indicates more traders got trapped, creating stronger reversal potential. #### 6. ATR-Based Stops and Targets **Addition:** Configurable ATR-based stop losses and profit targets - **Stop Loss:** 1.5x ATR (default) - **Profit Target:** 2.0x ATR (default) **Why:** The original Turtle Soup used fixed stop placement. ATR-based stops adapt to current volatility, providing tighter stops in calm markets and wider stops in volatile conditions. #### 7. Signal Cooldown **Addition:** Minimum bars between trades (default 5) **Why:** Prevents overtrading during choppy conditions where multiple failed breakouts might occur in quick succession. #### 8. Real-Time Info Panel **Addition:** Comprehensive dashboard showing: - Current regime (Bullish/Bearish/Neutral) - RSI value and zone - ADX value and trending status - Breakout status - Bars since last high/low - Current setup status - Position status **Why:** Gives traders instant visibility into all strategy conditions without needing to check multiple indicators. --- ## Entry Rules Summary ### SHORT Entry (Fading Failed Breakout Above) 1. ✅ Price breaks ABOVE the 20-period Donchian high 2. ✅ Previous 20-period high was at least 1 bar ago 3. ✅ Price closes back BELOW the Donchian high (failed breakout) 4. ✅ RSI > 60 (exhausted buyers) 5. ✅ ADX > 20 (trending market) 6. ✅ Cooldown period met → **Enter SHORT**, betting the breakout will fail ### LONG Entry (Fading Failed Breakdown Below) 1. ✅ Price breaks BELOW the 20-period Donchian low 2. ✅ Previous 20-period low was at least 1 bar ago 3. ✅ Price closes back ABOVE the Donchian low (failed breakdown) 4. ✅ RSI < 40 (exhausted sellers) 5. ✅ ADX > 20 (trending market) 6. ✅ Cooldown period met → **Enter LONG**, betting the breakdown will fail --- ## Exit Rules 1. **ATR Stop Loss:** Position closed if price moves 1.5x ATR against entry 2. **ATR Profit Target:** Position closed if price moves 2.0x ATR in favor 3. **Channel Exit:** Position closed if price breaks the exit channel in the opposite direction 4. **Mid-Channel Exit:** Position closed if price returns to channel midpoint --- ## Best Market Conditions The Turtle Soup strategy performs best when: - ✅ Markets are prone to false breakouts - ✅ Volatility is moderate (not too low, not extreme) - ✅ Price is oscillating within a broader range - ✅ There are clear support/resistance levels The strategy may struggle when: - ❌ Strong trends persist (breakouts follow through) - ❌ Volatility is extremely low (no meaningful breakouts) - ❌ Markets are in news-driven directional moves --- ## Default Settings | Parameter | Default | Description | |-----------|---------|-------------| | Lookback Period | 20 | Donchian channel period | | Min Bars Since Extreme | 1 | Bars since last high/low | | RSI Length | 14 | RSI calculation period | | RSI Short Level | 60 | RSI must be above this for shorts | | RSI Long Level | 40 | RSI must be below this for longs | | ADX Length | 14 | ADX calculation period | | ADX Threshold | 20 | Minimum ADX for trades | | ATR Period | 20 | ATR calculation period | | ATR Stop Multiplier | 1.5 | Stop loss distance in ATR | | ATR Target Multiplier | 2.0 | Profit target distance in ATR | | Cooldown Period | 5 | Minimum bars between trades | | Volume Multiplier | 1.2 | Volume spike threshold | --- ## Philosophy > *"The Turtle system made millions by following breakouts. The Turtle Soup strategy makes money when those breakouts fail. In trading, there's always someone on the other side of the trade—this strategy profits by being the smart money that fades the trapped breakout traders."* The beauty of the Turtle Soup strategy is its elegant simplicity: it exploits a known, repeatable pattern (failed breakouts) while using modern filters (RSI, ADX) to improve timing and reduce false signals. --- ## Credits - **Original Turtle System:** Richard Dennis & William Eckhardt (1983) - **Turtle Soup Strategy:** Linda Bradford Raschke & Larry Connors (1990s) - **RSI Enhancement:** Various traders who discovered RSI extremes improve reversal detection - **This Implementation:** Enhanced with Heikin Ashi smoothing, regime detection, ADX filtering, and comprehensive visualization --- *"We're not following the turtles—we're making soup out of them."* 🥣
استراتيجية Pine Script®
من ‎ralis24‎
Daily TQQQ Trend Strategy (Ultra-Discreet Text Signals)✅ TradingView Description (Professional + Clean) Daily TQQQ Trend Strategy (Ultra-Discreet Text Signals) This indicator provides clean, minimalistic trend-following signals designed for traders who want confirmation without cluttering the chart. Instead of using arrows, boxes, or colored shapes, this script prints tiny text labels (“Buy – trend strong” / “Sell – trend weakening”) directly on the price chart. These messages are intentionally discreet so they do not interfere with existing indicators, automated systems, or visually busy setups. 🔍 How It Works The indicator analyzes the market using three well-established components: 1. Trend Direction (EMA 8 & EMA 20) • Buy condition: price above both EMAs • Sell condition: price below both EMAs 2. Momentum Confirmation (MACD) • Buy: MACD line > Signal line • Sell: MACD line < Signal line 3. Strength Filter (RSI 14) • Buy: RSI above 50 (bullish strength) • Sell: RSI below 50 (weakening momentum) Only when all conditions align does the indicator print a discreet buy or sell label. 🧭 Signal Types Buy – trend strong Appears below the candle when overall trend, momentum, and strength all turn bullish. Sell – trend weakening Appears above the candle when trend and momentum show weakness and downside pressure increases.
مؤشر Pine Script®
من ‎basantd‎
Prime-Time × Vortex (3/6/9) — Ace (clean v3)1️⃣ Prime-Time Index (PT) A bar becomes Prime-Time when the count satisfies the formula: 4·n − 3 is a perfect square This generates the sequence: 1, 3, 7, 13, 21, 31, 43, 57, 73, 91, … These are time windows where price is more likely to form: Shifts in market structure Impulses Reversals Liquidity expansions These PT bars are drawn as small circles above the candle. If labels are enabled, the counter value (n) is also shown. 2️⃣ Vortex 3/6/9 Digital-Root Timing Every bar also has a digital root, calculated from the counter: If n → digitalRoot(n) = 3, 6, or 9, the bar is considered a Vortex bar. These moments often align with: Swing highs / swing lows Micro shifts Mini-reversals Minor liquidity grabs When a Prime-Time bar is also a 3/6/9 bar → high-probability timing. These bars are highlighted in green by default. 3️⃣ Filters & Display You can customize: Anchor time → when counting begins Reset daily → restart counter each new trading day Show only 3/6/9 → hides normal PT hits Label offset → distance above the candle Color themes This makes the indicator usable on: 1Min 5Min 15Min 1H Any timeframe you want 4️⃣ How To Apply It in Trading Use it as a time confluence tool, not a signal generator. ✔ Best ways to use: Look for MSS, sweeps, OB retests, FVG reactions when they occur on or near a Prime-Time or 3/6/9 bar Expect volatility increases after PT bars Use 3/6/9 hits to anticipate internal turning points Combine with: Session High/Low Killzones (London, NYO, PM) Purge Protocol MMXM Execution ✔ Example: If price sweeps a level and prints a 3/6/9 vortex bar inside a PT window → you have a very strong timing alignment for reversal. 5️⃣ Simple Summary Feature Meaning Prime-Time Hit (PT) Major time window where price often shifts 3/6/9 Vortex Bar Micro-timing for internal swings PT + 3/6/9 together High-probability timing for entries Reset Daily Perfect for intraday models like NYO & London Anchor Time Defines the entire cycle structure
مؤشر Pine Script®
من ‎TIMEANDPRICEPR‎