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ALN Sessions Box Breakout — Auto- DSTDevoleper: Sheikh Rakib What it does This indicator draws session range boxes for Asia (Dhaka), London, and New York using each market’s own local time (DST-aware). After a session closes, it watches for the first close above the session high or below the session low and then marks that breakout once per session with clear chart markers and optional alerts. Key features Auto-DST, per-city timezones London session uses Europe/London New York session uses America/New_York Asia session uses Asia/Dhaka Your chart timezone doesn’t matter—the sessions track real local hours. Clean range boxes with adjustable opacity and optional outlines. Session labels that auto-center at the end of each session. One-shot breakout signals per session: Triangle up when price closes above the session high. Triangle down when price closes below the session low. Built-in alerts for: session starts and each breakout direction. Inputs London / New York / Asia (Dhaka) Show Session: toggle each session on/off Time Range: default London 08:00–17:00 (local), New York 08:00–17:00 (local), Asia 06:00–15:00 (Dhaka) Colour: box color for each session Settings Show Session Labels Show Range Outline Opacity Preset: Dark / Medium / Light (UTC Offset input is kept for display, not used in session detection.) Visuals & alerts Boxes extend from session open to close, continually updating the high/low. When the session ends, the final high/low are locked in, the label is centered, and the indicator begins monitoring for a breakout. Alerts Session start: Asia/London/New York Breakouts: “High Breakout” (close > high) and “Low Breakout” (close < low) for each session Create alerts from the TradingView alert dialog and choose the desired alertcondition. Logic notes (how signals fire) While a session is open, its box grows to contain all highs/lows. On the first bar after close, the script starts listening for a breakout: Close > session high → one up signal (fires once) Close < session low → one down signal (fires once) When the next same session begins, internal flags reset and a new box starts—so signals are inherently scoped to the period between that session’s close and its next open. Tips Use on intraday timeframes (e.g., 1m–30m) for clearer box structure. If you only want specific markets, toggle others off for a cleaner chart. For systematic entries, combine with your trend/volatility filters and use the breakout alerts as triggers or confirmations—this script doesn’t place trades. Disclaimer: Market timing and risk management are your responsibility. Past session behavior does not guarantee future performance.
مؤشر Pine Script®
من ‎Greenbd‎
Twiggs Go Money Flow Enhanced [KingThies]█ OVERVIEW The Twiggs Money Flow (TMF) is a volume-weighted momentum oscillator that measures buying and sellistng pressure by analyzing where price closes within each bar's true range. It's an enhanced version of Chaikin Money Flow that uses Wilder's smoothing method, providing better trend persistence and smoother signals. The indicator oscillates around a zero listne: Values above zero indicate accumulation (buying pressure) Values below zero indicate distribution (sellistng pressure) TMF was developed by Colistn Twiggs as an improvement over traditional money flow indicators by incorporating true range calculations and Wilder's exponential moving average. █ CONCEPTS True Range Boundaries TMF calculates a modified true range for each bar by comparing the current bar's high and low with the previous close: True Range High = maximum of (previous close, current high) True Range Low = minimum of (previous close, current low) This accounts for overnight gaps and ensures price continuity between bars. Average Daily Value (ADV) The ADV represents the portion of volume attributable to buying versus sellistng: ADV = Volume × ((Close - TR Low) - (TR High - Close)) / True Range When price closes near the high of the true range, ADV is positive and large. When price closes near the low, ADV is negative and large. A close in the middle produces values near zero. Wilder's Moving Average Unlistke simple moving averages, Wilder's smoothing method gives more weight to recent values while maintaining memory of historical data: WMA = (Previous WMA × (Period - 1) + Current Value) / Period This creates smoother trends that are less prone to whipsaws than standard moving averages. Final Calculation TMF = Wilder's MA(ADV, Period) / Wilder's MA(Volume, Period) By dividing smoothed ADV by smoothed volume, TMF normalistzes the reading and makes it comparable across different securities and timeframes. █ HOW TO USE Zero listne Crossovers The most straightforward trading signals: A cross above zero suggests buyers are gaining control. Consider this a bullistsh signal, especially when confirmed by price action. A cross below zero suggests sellers are gaining control. Consider this a bearish signal. The longer TMF remains above or below zero, the stronger the trend. Extreme Values Strong positive or negative readings indicate intense buying or sellistng pressure: Sustained high positive values (above +0.4) suggest strong accumulation but may also indicate overbought conditions. Sustained low negative values (below -0.4) suggest strong distribution but may also indicate oversold conditions. These extremes work best when used in conjunction with price levels and support/resistance zones. Divergences Divergences between price and TMF often signal potential reversals: Bearish divergence: Price makes a higher high but TMF makes a lower high — suggests buying pressure is weakening despite rising prices. Bullistsh divergence: Price makes a lower low but TMF makes a higher low — suggests sellistng pressure is weakening despite fallistng prices. Trend Confirmation Use TMF to confirm the strength of existing trends: In an uptrend, TMF should remain mostly positive with occasional dips below zero. In a downtrend, TMF should remain mostly negative with occasional rises above zero. If TMF contradicts the price trend, consider the trend weak or potentially ending. █ FEATURES Period (default: 21) The lookback length for Wilder's moving average calculation: Shorter periods (10–15) make TMF more responsive to recent changes but increase noise and false signals. Longer periods (30–50) create smoother readings but lag price action more significantly. The default 21-period setting balances responsiveness with relistabilistty. Consider adjusting the period based on your trading timeframe and the volatilistty of the security you're analyzing. █ LIMITATIONS TMF is a lagging indicator due to its smoothing method. Signals may occur after optimal entry or exit points. In low-volume or illistquid markets, TMF can produce erratic readings that may not reflect true buying or sellistng pressure. Ranging or choppy markets often generate frequent zero-listne crosses that can lead to whipsaws. listke all volume-based indicators, TMF's relistabilistty depends on accurate volume data. For securities with unrelistable volume reporting, consider using price-based momentum indicators instead. █ NOTES This indicator uses area-style plotting in the original version to visualistze the magnitude of buying and sellistng pressure. The filled area makes it easy to see at a glance whether the market is in accumulation or distribution mode. TMF works on any timeframe but tends to be most relistable on daily charts where volume data is most accurate and meaningful. █ CREDITS Original indicator developed by LazyBear . Based on the Twiggs Money Flow concept from Incredible Charts: Incredible Charts – Twiggs Money Flow .
مؤشر Pine Script®
من ‎kingthies‎
RSI ExtremesRSI Extremes — Educational Indicator (Pine v5) Per-Tick Dual-RSI Extremes · Real-Time Visualization · Cooldown Logic Overview RSI Extremes is a real-time educational indicator built to show where the Relative Strength Index (RSI) reaches its most extreme levels during every tick of live price action. Instead of using only the candle close, it continuously tracks both RSI(low) and RSI(high) to reveal how deeply each bar stretches into demand or supply extremes. This tool is meant solely for study and visualization, helping you understand how RSI behaves intrabar when price wicks expand. It produces no signals, no alerts, and no trade suggestions — it’s a microscope for momentum pressure. Core Idea Standard RSI hides a lot of the wick-based stress in price because it calculates from close values only. RSI Extremes solves this by splitting the measurement into two perspectives: RSI of LOW (green) → shows how far momentum falls into potential demand exhaustion. RSI of HIGH (red) → shows how far momentum extends into potential supply exhaustion. Seeing both together exposes the full oscillation envelope — what RSI looks like between candle opens and closes, not just after the fact. What Gets Plotted RSI (Low) — green line representing intrabar downside pressure. RSI (High) — red line representing intrabar upside pressure. RSI Ghost (Smoothed) — gray line for soft context only. Bands: 30 / 50 / 70 visual guides with a shaded 30–70 region. Markers: Enter marker when RSI(low) ≤ levelEnter (default 15). Exit marker when RSI(high) ≥ levelExit (default 85). Markers appear in real time as soon as a touch occurs and are locked per bar to avoid duplicates. Inputs & Educational Purpose Input Description Learning Focus Source (for ghost smoother) Data used for the ghost RSI. Observe RSI smoothing lag. RSI Length Period for both RSI(high) and RSI(low). Shorter = faster reaction; longer = smoother. RSI-based MA Length (ghost) Smoothing for the ghost line. Compare sharp vs smoothed RSI rhythm. levelEnter (touch or below) Default 15. Study how deep RSI(low) falls during market stress. levelExit (touch or above) Default 85. Study how high RSI(high) rises during momentum bursts. Rest period (bars) Cooldown after any event. Encourages post-event observation and prevents overlap. Real-Time Behavior Evaluates conditions per tick, not only at bar close. Uses both real-time detection and bar-close backup for reliability. Employs per-bar locks to prevent duplicate markers. Integrates a cooldown so new markers only appear after the rest period. The result is a clean, stable display of RSI stress points in live price motion — no flicker, no repaint. How to Study with RSI Extremes Watch how Enter markers form during sharp sell wicks — these highlight where intrabar RSI(low) dives into extreme territory. Watch how Exit markers appear during aggressive tops — these show when RSI(high) surges beyond its upper boundary. Compare both lines to the gray ghost: if the ghost is rising while Enter markers print, you’re seeing a temporary overshoot within strengthening momentum; if it’s falling while Exit markers print, you’re seeing supply exhaustion in weakening momentum. Use cooldown spacing to examine how long markets take to recover or consolidate after an extreme tick. Educational Value Learn how RSI behaves inside a candle rather than only at its close. Visualize how volatility affects the amplitude of RSI swings. Understand that extremes don’t mean reversal — they measure intensity, not direction. Build intuition for momentum saturation and liquidity hunts. This indicator turns RSI into a real-time stress monitor rather than a delayed oscillator. Category & Tags Category: Indicator → Momentum (or Indicator → Educational / Research) Tags: indicator, rsi, momentum, extremes, enter-exit, levelenter, levelexit, realtime, educational, research, visualization, pine-v5 Disclaimer This indicator is intended exclusively for educational and research purposes. It does not issue trade signals or financial advice. All market activity carries risk; use this tool to learn, not to predict or execute trades.
مؤشر Pine Script®
من ‎mikeyc747‎
Squeeze Go Momentum Pro [KingThies] █ OVERVIEW The Squeeze Momentum Pro indicator identifies volatility compression phases and breakout opportunities by comparing Bollinger Bands to Keltner Channels. When price consolidates (squeeze), the bands contract inside the channels, signaling an imminent breakout. The momentum histogram shows directional bias, helping traders anticipate which way price will move when the squeeze releases. This indicator displays in a separate panel below the price chart, providing clear visual signals without cluttering price action. █ KEY FEATURES Momentum Histogram The histogram is the primary visual element, displaying momentum strength and direction with four distinct color states: • Dark Green (#00C853) — Strong bullish momentum that is increasing. This signals strengthening upward pressure and potential continuation. • Light Green (#26A69A) — Bullish momentum that is decreasing. Price remains in bullish territory but upward force is weakening. • Dark Red (#D32F2F) — Strong bearish momentum that is increasing. This signals strengthening downward pressure and potential continuation. • Light Red (#EF5350) — Bearish momentum that is decreasing. Price remains in bearish territory but downward force is weakening. The color intensity provides immediate feedback on momentum strength and trend health. Squeeze State Indicator Colored dots on the zero line communicate the current volatility state: • Orange Dots — Squeeze is ON. Bollinger Bands have contracted inside Keltner Channels, indicating consolidation and low volatility. A breakout is building and traders should prepare for directional movement. • Green Dots — Squeeze is OFF. Bollinger Bands have expanded outside Keltner Channels, indicating active momentum and higher volatility. Price is moving with conviction in the current direction. • Gray Dots — Neutral state. The bands are transitioning between squeeze states. Release Triangles Triangle shapes mark the exact bar when a squeeze releases, providing precise entry timing: • Green Triangle Up — Bullish squeeze release. The squeeze has ended with positive momentum, suggesting a long setup opportunity. • Red Triangle Down — Bearish squeeze release. The squeeze has ended with negative momentum, suggesting a short setup opportunity. Information Panel A compact dashboard in the top-right corner displays real-time trading intelligence: • Squeeze Status — Current state: ON, OFF, or NEUTRAL with color coding • Momentum Direction — Current bias: BULL or BEAR • Momentum Value — Precise numerical reading of momentum strength • Trading Signal — Actionable status: LONG SETUP, SHORT SETUP, WAIT, or MONITOR Configurable Parameters All calculation inputs are adjustable to match your trading style and timeframe: • BB Length — Bollinger Bands period (default: 20) • BB StdDev — Bollinger Bands standard deviation multiplier (default: 2.0) • KC Length — Keltner Channels period (default: 20) • KC ATR Multiplier — Keltner Channels range multiplier (default: 1.5) • Momentum Length — Linear regression period for momentum calculation (default: 20) Alert System Four alert conditions notify you of critical trading opportunities: • Bullish Squeeze Release — Squeeze has released with bullish momentum, indicating a potential long entry • Bearish Squeeze Release — Squeeze has released with bearish momentum, indicating a potential short entry • Squeeze Started — Volatility compression detected, prepare for upcoming breakout • Squeeze Ended — Volatility expansion confirmed, breakout is active █ TRADING METHODOLOGY The indicator follows a clear four-step process for identifying and trading squeeze breakouts: 1 - Wait for Orange Dots . When orange dots appear on the zero line, a squeeze is building. This indicates price consolidation and declining volatility. Do not enter trades during this phase. Instead, prepare by identifying key support and resistance levels and potential breakout directions. 2 - Watch for Release Triangle . When a triangle appears, the squeeze has released and a breakout is beginning. This is your entry signal. The triangle color (green up or red down) combined with the histogram direction indicates the breakout direction. 3 - Confirm with Histogram Direction . Check the momentum histogram for directional confirmation: • Green histogram + green triangle up = Go long. Bullish momentum supports upward breakout. • Red histogram + red triangle down = Go short. Bearish momentum supports downward breakout. 4 - Monitor Momentum Intensity . Stay in the trade while histogram bars maintain their dark, intense color. When colors lighten (dark green to light green, or dark red to light red), momentum is weakening and you should consider taking profits or tightening stops. █ INTERPRETATION GUIDE Squeeze Detection Logic A squeeze occurs when Bollinger Bands contract inside Keltner Channels. This happens when: • Standard deviation of price decreases (BB narrows) • Price consolidates within a tight range • Volatility compresses to unsustainable levels The orange dots signal this condition, warning traders that explosive movement is imminent. Squeeze Release Logic A squeeze releases when Bollinger Bands expand outside Keltner Channels. This happens when: • Price volatility increases sharply • Price breaks out of consolidation • Volume typically expands (check volume separately) The green dots and release triangles signal this condition, indicating the direction and timing of the breakout. Momentum Reading The histogram uses linear regression to calculate momentum relative to the midpoint of the recent range: • Above Zero : Price is trading above the range midpoint with bullish pressure • Below Zero : Price is trading below the range midpoint with bearish pressure • Increasing Bars : Momentum is strengthening in the current direction (darker color) • Decreasing Bars : Momentum is weakening in the current direction (lighter color) █ BEST PRACTICES • Timeframe Selection — The indicator works on all timeframes but performs best on 15-minute to daily charts. Lower timeframes may produce more false signals due to noise. • Confluence Trading — Combine squeeze releases with support/resistance levels, trend lines, or other indicators for higher probability setups. • Volume Confirmation — Check that squeeze releases occur with increasing volume. Low volume breakouts are more likely to fail. • Multiple Timeframe Analysis — Check higher timeframes for overall trend direction. Trade squeeze releases that align with the larger trend. • Parameter Adjustment — Increase BB and KC lengths for smoother signals on higher timeframes. Decrease for more sensitive signals on lower timeframes. █ LIMITATIONS • The indicator does not predict breakout direction before the squeeze releases. The momentum histogram provides bias but is not definitive until the breakout occurs. • False breakouts can occur, particularly in choppy or low-volume market conditions. Always use proper risk management and stop losses. • The indicator works best in trending markets. In deeply ranging markets with no clear direction, squeeze signals may be less reliable. • Momentum calculations use linear regression which can lag during extremely fast price movements. Confirm signals with price action. █ NOTES This implementation uses linear regression for momentum calculation rather than simple moving averages, providing more responsive and accurate directional signals. The four-color histogram system gives traders nuanced feedback on momentum strength that binary color schemes cannot provide. The indicator automatically adjusts to any symbol and timeframe without modification, making it suitable for stocks, forex, crypto, and futures markets. █ CREDITS Squeeze methodology inspired by John Carter's TTM Squeeze indicator. Momentum calculation and visual design optimized for modern trading workflows.
مؤشر Pine Script®
من ‎kingthies‎
RastaRasta — Educational Strategy (Pine v5) Momentum · Smoothing · Trend Study Overview The Rasta Strategy is a visual and educational framework designed to help traders study momentum transitions using the interaction between a fast-reacting EMA line and a slower smoothed reference line. It is not a signal generator or profit system; it’s a learning tool for understanding how smoothing, crossovers, and filters interact under different market conditions. The script displays: A primary EMA line (the fast reactive wave). A Smoothed line (using your chosen smoothing method). Optional fog zones between them for quick visual context. Optional DNA rungs connecting both lines to illustrate volatility compression and expansion. Optional EMA 8 / EMA 21 trend filter to observe higher-time-frame alignment. Core Idea The Rasta model focuses on wave interaction. When the fast EMA crosses above the smoothed line, it reflects a shift in short-term momentum relative to background trend pressure. Cross-unders suggest weakening or reversal. Rather than treating this as a trading “signal,” use it to observe structure, study trend alignment, and test how smoothing type affects reaction speed. Smoothing Types Explained The script lets you experiment with multiple smoothing techniques: Type Description Use Case SMA (Simple Moving Average) Arithmetic mean of the last n values. Smooth and steady, but slower. Trend-following studies; filters noise on higher time frames. EMA (Exponential Moving Average) Weights recent data more. Responds faster to new price action. Momentum or reactive strategies; quick shifts and reversals. RMA (Relative Moving Average) Used internally by RSI; smooths exponentially but slower than EMA. Momentum confirmation; balanced response. WMA (Weighted Moving Average) Linear weights emphasizing the most recent data strongly. Intraday scalping; crisp but potentially noisy. None Disables smoothing; uses the EMA line alone. Raw comparison baseline. Each smoothing method changes how early or late the strategy reacts: Faster smoothing (EMA/WMA) = more responsive, good for scalping. Slower smoothing (SMA/RMA) = more stable, good for trend following. Modes of Study 🔹 Scalper Mode Use short EMA lengths (e.g., 3–5) and fast smoothing (EMA or WMA). Focus on 1 min – 15 min charts. Watch how quick crossovers appear near local tops/bottoms. Fog and rung compression reveal volatility contraction before bursts. Goal: study short-term rhythm and liquidity pulses. 🔹 Momentum Mode Use moderate EMA (5–9) and RMA smoothing. Ideal for 1 H–4 H charts. Observe how the fog color aligns with trend shifts. EMA 8 / 21 filter can act as macro bias; “Enter” labels will appear only in its direction when enabled. Goal: study sustained motion between pullbacks and acceleration waves. 🔹 Trend-Follower Mode Use longer EMA (13–21) with SMA smoothing. Great for daily/weekly charts. Focus on periods where fog stays unbroken for long stretches — these illustrate clear trend dominance. Watch rung spacing: tight clusters often precede consolidations; wide rungs signal expanding volatility. Goal: visualize slow-motion trend transitions and filter whipsaw conditions. Components EMA Line (Red): Fast-reacting short-term direction. Smoothed Line (Yellow): Reference trend baseline. Fog Zone: Green when EMA > Smoothed (up-momentum), red when below. DNA Rungs: Thin connectors showing volatility structure. EMA 8 / 21 Filter (optional): When enabled, the strategy will only allow Enter events if EMA 8 > EMA 21. Use this to study higher-trend gating effects. Educational Applications Momentum Visualization: Observe how the fast EMA “breathes” around the smoothed baseline. Trend Transitions: Compare different smoothing types to see how early or late reversals are detected. Noise Filtering: Experiment with fog opacity and smoothing lengths to understand trade-off between responsiveness and stability. Risk Concept Simulation: Includes a simple fixed stop-loss parameter (default 13%) for educational demonstrations of position management in the Strategy Tester. How to Use Add to Chart → “Strategy.” Works on any timeframe and instrument. Adjust Parameters: Length: base EMA speed. Smoothing Type: choose SMA, EMA, RMA, or WMA. Smoothing Length: controls delay and smoothness. EMA 8 / 21 Filter: toggles trend gating. Fog & Rungs: visual study options only. Study Behavior: Use Strategy Tester → List of Trades for entry/exit context. Observe how different smoothing types affect early vs. late “Enter” points. Compare trend periods vs. ranging periods to evaluate efficiency. Combine with External Tools: Overlay RSI, MACD, or Volume for deeper correlation analysis. Use replay mode to visualize crossovers in live sequence. Interpreting the Labels Enter: Marks where fast EMA crosses above the smoothed line (or when filter flips positive). Exit: Marks where fast EMA crosses back below. These are purely analytical markers — they do not represent trade advice. Educational Value The Rasta framework helps learners explore: Reaction time differences between moving-average algorithms. Impact of smoothing on signal clarity. Interaction of local and global trends. Visualization of volatility contraction (tight DNA rungs) and expansion (wide fog zones). It’s a sandbox for studying price structure, not a promise of profit. Disclaimer This script is provided for educational and research purposes only. It does not constitute financial advice, trading signals, or performance guarantees. Past market behavior does not predict future outcomes. Users are encouraged to experiment responsibly, record observations, and develop their own understanding of price behavior. Author: Michael Culpepper (mikeyc747) License: Educational / Open for study and modification with credit. Philosophy: “Learning the rhythm of the market is more valuable than chasing its profits.” — Rasta
استراتيجية Pine Script®
من ‎mikeyc747‎
Trend Meter [MMT]The Trend Meter is a dynamic Pine Script indicator designed to provide traders with a clear, multi-dimensional view of market trends and momentum across different timeframes and metrics. By integrating Exponential Moving Averages (EMAs), Volume-Weighted Average Price (VWAP), higher timeframe (HTF) analysis, and Regular Trading Hours (RTH) breakouts, this indicator offers a comprehensive tool for identifying bullish, bearish, or neutral market conditions. Its customizable visual display and label system make it ideal for traders seeking actionable insights for trend-following, breakout, or reversal strategies. Key Features: 1. Multi-Metric Trend Analysis: - Trend Meter : Compares a Fast EMA (default: 9) and Slow EMA (default: 21) to determine short-term trend direction. - Bias Meter : Uses a longer-term Bias EMA (default: 35) to assess the overall market bias based on the close price. - VWAP Meter : Evaluates price position relative to the VWAP for dynamic support/resistance insights. - HTF Meter : Analyzes higher timeframe (default: 60-minute) price action, detecting breakouts of previous highs/lows and candle direction. - RTH Meter : Tracks price breakouts above/below the US Regular Trading Hours (09:30–16:00 EST) 15m opening range (09:30–09:45 EST). 2. Color-Coded Visuals: - Each metric is displayed as a horizontal line with customizable colors (green for bullish, red for bearish, gray for neutral). - Visual style options (dotted, dashed, or solid lines) allow for personalized chart clarity. 3. Dynamic Labels: - Optional labels for each metric (Trend, Bias, VWAP, HTF, RTH) with customizable text, size (tiny to huge), and color. - Labels update in real-time, providing clear identification of each meter’s role and current state. 4. Flexible Metric Selection: - Toggle individual metrics (EMA, VWAP, HTF, RTH) on/off to focus on relevant indicators for your trading style. - Option to use the previous bar’s close price for calculations, reducing noise in volatile markets. 5. RTH and Opening Range Analysis: - Calculates the high/low of the opening range (09:30–09:45 EST) during RTH sessions. - Signals bullish or bearish conditions when the price breaks above/below the opening range outside the initial 15-minute window. 6. Higher Timeframe Breakout Detection: - Monitors HTF price action to identify breakouts of the previous candle’s high or low, combined with the HTF candle’s direction for trend confirmation. How to Use: - Trend Confirmation : Use the Trend and Bias Meters to confirm short-term and long-term market direction. - Breakout Trading : Leverage the RTH Meter for breakout setups above/below the opening range during US trading hours. - Support/Resistance : Utilize the VWAP Meter to identify dynamic price levels for entries or exits. - Higher Timeframe Context : Monitor the HTF Meter for broader market trend alignment, ideal for swing or position trading. - Customization : Adjust EMA lengths, toggle metrics, and customize visual styles and labels to suit your chart preferences. Settings: - Bias Settings : - Fast EMA (default: 9), Slow EMA (default: 21), Bias EMA (default: 35). - Higher Timeframe (default: 60-minute). - Option to use previous close price for calculations. - Enable/disable individual metrics (EMA, VWAP, HTF, RTH). - Visual Settings : - Bullish (green), bearish (red), and neutral (gray) colors. - Line style (dotted, dashed, solid). - Label Settings : - Enable/disable labels. - Customize label size (tiny, small, normal, large, huge) and text color. - Custom text for each meter’s label (Trend, Bias, VWAP, HTF, RTH). Notes: - Optimized for intraday trading (e.g., 1m, 5m, 15m) but adaptable to any timeframe. - RTH and opening range calculations are tailored for US markets (EST timezone); adjust session times in the code for other markets. - Higher timeframe analysis enhances context for multi-timeframe strategies. Ideal For: - Intraday traders targeting RTH breakout opportunities. - Swing traders aligning with higher timeframe trends. - Traders using VWAP and EMA-based strategies for trend and momentum analysis. - Those seeking a clean, customizable dashboard for multi-metric market analysis.
مؤشر Pine Script®
من ‎isthattyler‎
6
X ATM Option Ladder FlowX ATM Option Ladder Flow is a specialized options-market visualization tool designed for intraday tracking of at-the-money (ATM) option volume flow in index ETFs such as QQQ and SPY. The script dynamically identifies the ATM contract on every bar and plots real-time call-versus-put volume distributions and marker to represent if the volume corresponded with the price of the option going up or down. By analyzing volume and direction data from multiple strikes within an ±8-point range, the indicator produces a real-time histogram that reflects how order flow evolves relative to the underlying price. Complementary status tables display the active strike, ladder position, and warnings when the underlying moves outside the monitored range. Core Features Dynamic ATM selection – Each bar automatically maps to the option contract closest to the underlying’s price. Bidirectional volume comparison – Visual separation of call and put volume, with “up” markers highlighting contracts trading above their prior close. Multi-strike ladder analysis – Samples strikes ±8 points from the defined center to capture flow skew and momentum near the money. Optimized data calls – Uses tuple requests to minimize request.security() load, enabling a deeper ladder within TradingView limits. Session awareness – Restricts processing to the 9:30 AM – 4:15 PM ET option-trading window. Status dashboard – Displays date, active strike, warning flags (“⚠︎ / •outside”), and ladder parameters directly on chart. Use Case The indicator is intended for intraday traders and options-flow analysts who want to visualize how short-term liquidity and sentiment migrate across the ATM region as the underlying moves. Typical applications include: Monitoring real-time call/put volume balance to confirm directional momentum or detect absorption zones. Identifying volatility clustering near the money—where hedging pressure or gamma concentration can influence underlying price stability. Detecting when price exits the monitored ladder (⚠︎ / •outside), signaling a potential shift to a new dominant option band or requiring manual recentering. Integrating option flow into broader futures or ETF bias models (e.g., NQ/ES alignment or QQQ/SPY flow confirmation). Technical Notes Static-center architecture ensures historical consistency: prior bars remain fixed even after re-centering. Ladder depth is hard-coded to ±8, the maximum possible within TradingView’s security-call limits. auto_nudge is enabled to smoothly align the selected lane with the active ATM without requiring user intervention. Indicator is optimized for 1-minute to 5-minute charts; use overlay = false to preserve scale clarity.
مؤشر Pine Script®
من ‎KinetiCapital‎
9
Trend & Strength Detector TSDTrend Strength Detector (TSD) *Objective Trend Quality Measurement for Educational Market Analysis* Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication. ## 🎯 Purpose & Design Philosophy The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"* This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems. ## 🔗 Complementary Research Framework ### Designed to Work With Pattern Detection Systems This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like: - **RMBS Smart Detector - Multi-Factor Momentum System** - Traditional chart pattern analyzers - Any momentum-based pattern identification tools 🔍 **To find RMBS Smart Detector:** - Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"` - Look for: *Multi-Factor Momentum System* - By author: ` ` ### Why This Complementary Approach? **Trend Quality Measurement** (TSD - this tool) provides: - ✅ Structural trend alignment (0-100 score) - ✅ Momentum intensity levels (0-100 score) - ✅ Environment classification (Strong/Moderate/Weak) - 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"* ### Educational Research Value When used together in a research context, these tools enable systematic study of questions like: - How do reversal patterns behave when Strength Score is above 70 vs below 30? - Do continuation patterns in weakening environments (declining scores) show different characteristics? - What is the correlation between high Alignment Scores and pattern "success rates"? - Can environment classification help identify genuine trend initiation vs false starts? ⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent. --- ###Mathematical Foundation ##TSA Formula: scoring method developed by Ario -Trend Model (0 – 100) TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30) EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure. Price Position evaluates if Close is above/below all EMAs. Consistency = 3 × max(bullish,bearish bars within 10 candles). -Strength Model (0 – 100) Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10) ADX measures trend energy; Slope shows EMA momentum %; RSI assesses zone positioning; MACD confirms directional agreement. Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________ 📊 Environment Classification Based on Total Strength Score: 🟢 Strong Environment: Score ≥ 60 → Well-defined momentum, clear directional bias 🟡 Moderate Environment: 40 ≤ Score < 60 → Mixed signals, transitional conditions 🔴 Weak Environment: Score < 40 → Ranging, choppy, low conviction movement Color Coding: • Green background: Strong (≥60) • Yellow background: Moderate (40-59) • Red background: Weak (<40) ________________________________________ 📈 Visual Components Main Chart Display Score Labels (Top-Right Corner): ┌─────────────────────────────────┐ │ 📊 Alignment: 75 | Strength: 82 │ │ Environment: Strong 🟢 │ └─────────────────────────────────┘ Color-Coded Background: • Environment strength visually indicated via background color • Helps quick identification of market regime • Customizable transparency (default: 90%) Reference Lines: • Dotted line at 60: Strong/Moderate threshold • Dotted line at 40: Moderate/Weak threshold • Mid-line at 50: Neutral reference ________________________________________ 🔧 Customization Settings Input Parameters The best setting is the default mode. 🚫 Important Disclaimers & Limitations What This Indicator IS: ✅ Educational measurement tool for trend quality research ✅ Quantitative assessment of current market environment ✅ Complementary analysis tool for pattern-based systems ✅ Historical data analyzer for systematic study ✅ Multi-factor scoring system based on technical calculations What This Indicator IS NOT: ❌ NOT a trading system or signal generator ❌ NOT financial advice or trade recommendations ❌ NOT predictive of future price movements ❌ NOT a guarantee of pattern success/failure ❌ NOT a substitute for comprehensive risk management ________________________________________ Known Limitations 1. Lagging Nature: ⚠️ All components (EMA, ADX, RSI, MACD) are calculated from historical price data → Scores reflect CURRENT and RECENT conditions → Cannot predict sudden reversals or black swan events → Trend measurements lag actual price turning points 2. Whipsaw Risk: ⚠️ In choppy/ranging markets, scores may fluctuate rapidly → Moderate zone (40-60) can see frequent transitions → Low timeframes more susceptible to noise → Consider higher timeframes for stable measurements 3. Component Conflicts: ⚠️ Individual components may disagree → Example: Strong ADX but weak RSI alignment → Scores average these conflicts (may hide nuance) → Check individual components for deeper insight 4. Not Predictive: ⚠️ High scores do NOT guarantee continuation ⚠️ Low scores do NOT guarantee reversal → Measurement ≠ Prediction → Use for CONTEXT, not SIGNALS → Combine with comprehensive analysis ________________________________________ Risk Acknowledgments Market Risk: • All trading involves substantial risk of loss • Past performance (even systematic studies) does not guarantee future results • No indicator, system, or methodology can eliminate market risk Measurement Limitations: • Scores are mathematical calculations, not market predictions • Environmental classification is descriptive, not prescriptive • Strong measurements can deteriorate rapidly without warning Educational Purpose: • This tool is designed for LEARNING about market structure • Not designed, tested, or validated as a standalone trading system • Any trading decisions are user’s sole responsibility No Warranty: • Indicator provided “as-is” for educational purposes • No guarantee of accuracy, reliability, or profitability • Users must verify calculations and apply critical thinking Open Source Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome. “All logic is presented for research and educational visualization.” ---
مؤشر Pine Script®
من ‎Ario_pinelab‎
Trading Blueprint v7 Pro — VWAP-CVD, cPOC Trend MomentumTBv7 Pro is the advanced release of the Trading Blueprint framework — engineered for institutional-style intraday analysis that fuses VWAP location, CVD orderflow, composite profile bias, and momentum curvature into one cohesive system. Core Framework VWAP Structure → Adaptive mean anchored to session VWAP with ±1σ / ±2σ deviation envelopes for dynamic equilibrium detection. vPOC per bar by ruckard () Anchored Volume Profile by DGT () CVD Orderflow Divergence → Smoothed delta histogram with fractal pivots identifying hidden absorption and exhaustion (patterns (Bull / Bear Div). Cumulative Volume Delta by AustrianTradingMachine ) cPOC Integration (2-Day Composite) by poopsnag (me :)→ Confirms true acceptance or rejection zones across sessions for precision bias alignment. TMI (Trend Momentum Indicator by TradingRiot()) → Quantifies slope + mean crossover strength, providing actionable momentum confirmation (bullish / bearish support / divergence). Bias Dashboard → Displays VWAP bias, numerical score, and dynamic color feedback for at-a-glance trade orientation. Usage Context Designed for professionals trading 15 m execution inside 1 h / 4 h context. Ideal for VWAP-cPOC location setups, reversion / continuation scalps, and orderflow confirmation using cumulative delta behavior. 🔧 Modules such as RSI / AO are pre-wired and easily activated for full Trading Blueprint confluence mapping.
مؤشر Pine Script®
من ‎poopsnag‎
BB SPY Mean Reversion Investment StrategySummary Mean reversion first, continuation second. This strategy targets equities and ETFs on daily timeframes. It waits for price to revert from a Bollinger location with candle and EMA agreement, then manages risk with ATR based exits. Uniqueness comes from two elements working together. One, an adaptive band multiplier driven by volatility of volatility that expands or contracts the envelope as conditions change. Two, a bias memory that re arms the same direction after any stop, target, or time exit until a true opposite signal appears. Add it to a clean chart, use the markers and levels, and select on bar close for conservative alerts. Shapes can move while the bar is open and settle on close. Scope and intent • Markets. Currently adapted for SPY, needs to be optimized for other assets • Timeframes. Daily primary. Other frames are possible but not the default • Default demo. SPY on daily • Purpose. Trade mean reversion entries that can chain into a longer swing by splitting holds into ATR or time segments Originality and usefulness • Novelty. Adaptive band width from volatility of volatility plus a persistent bias array that keeps the original direction alive across sequential entries until an opposite setup is confirmed • Failure modes mitigated. False starts in chop are reduced by candle color and EMA location. Missed continuation after a take profit or stop is addressed by the re arm engine. Oversized envelopes during quiet regimes are avoided by the adaptive multiplier • Testability. Every module has Inputs and visible levels so users can see why a suggestion appears • Portable yardstick. All risk and targets are expressed in ATR units Method overview in plain language The engine measures where price sits relative to Bollinger bands, confirms with candle color and EMA location, requires ADX for shorts(in our case long close since we use it currently as long only), and optionally requires a trend or mean reversion regime using band width percent rank and basis slope. Risk uses ATR for stop, target, and optional breakeven. A small array stores the last confirmed direction. While flat, the engine keeps a pending order in that direction. The array flips only when a true opposite setup appears. Base measures • Range basis. True Range smoothed over a user defined ATR Length • Return basis. Not required Components • Bollinger envelope. SMA length and standard deviation multiplier. Entry is based on cross of close through the band with location bias • Candle and EMA filter. Close relative to open and close relative to EMA align direction • ADX gate for shorts. Requires minimum trend strength for short trades • Adaptive multiplier. Band width scales using volatility of volatility so envelopes breathe with conditions • Regime gate optional. Band width percent rank and basis slope identify trend or mean reversion regimes • Risk manager. ATR stop, ATR target, optional breakeven, optional time exit • Bias memory. Array stores last confirmed direction and re arms entries while flat Fusion rule Minimum satisfied gates count style. All required gates must be true. Optional gates are controlled in Inputs. Bias memory never overrides an opposite confirmed setup. Signal rule • Long setup when close crosses up through the lower band, the bar closes green, and close is above the long EMA • Short setup when close crosses down through the upper band, the bar closes red, close is below the short EMA, and ADX is above the minimum • While flat the model keeps a pending order in the stored direction until a true opposite setup appears • IN LONG or IN SHORT describes states between entry and exit What you will see on the chart • Markers for Long and Short setups • Exit markers from ATR or time rules • Reference levels for entry, stop, and target • Bollinger bands and optional adaptive bands Inputs with guidance Setup • Signal timeframe. Uses the chart timeframe • Invert direction optional. Flips long and short Logic • BB Length. Typical 10 to 50. Higher smooths more • BB Mult. Typical 1.0 to 2.5. Higher widens entries • EMA Length long. Typical 10 to 50 • EMA Length short. Typical 5 to 30 • ADX Minimum for short. Typical 15 to 35 Filters • Regime Type. none or trend or mean reversion • Rank Lookback. Typical 100 to 300 • Basis Slope Length and Threshold. Larger values reduce false trends Risk • ATR Length. Typical 10 to 21 • ATR Stop Mult. Typical 1.0 to 3.0 • ATR Take Profit Mult. Typical 2.0 to 5.0 • Breakeven Trigger R. Move stop to entry after the chosen multiple • Time Exit. Minimum bars and extension when profit exceeds a fraction of ATR Bias and rearm • Bias flips kept. Array depth • Keep rearm when flat. Maintain a pending order while flat UI • Show markers and levels. Clean defaults Usage recipes Alerts update in real time and can change while the bar forms. Select on bar close for conservative workflows. Properties visible in this publication • Initial capital 25000 • Base currency USD • If any higher timeframe calls are enabled, request.security uses lookahead off • Commission 0.03 percent • Slippage 3 ticks • Default order size method Percent of equity with value 5 • Pyramiding 0 • Process orders on close On • Bar magnifier Off • Recalculate after order is filled Off • Calc on every tick Off Realism and responsible publication No performance claims. Costs and fills vary by venue. Shapes can move intrabar and settle on close. Strategies use standard candles only. Honest limitations and failure modes High impact releases and thin liquidity can break assumptions. Gap heavy symbols may require larger ATR. Very quiet regimes can reduce contrast in the mean reversion signal. If stop and target can both be touched inside one bar, outcome follows the TradingView order model for that bar path. Regimes with extreme one sided trend and very low volatility can reduce mean reversion edges. Results vary by symbol and venue. Past results never guarantee future outcomes. Open source reuse and credits None. Backtest realism Costs are realistic for liquid equities. Sizing does not exceed five percent per trade by default. Any departure should be justified by the user. If you got any questions please le me know
استراتيجية Pine Script®
من ‎exlux‎
SMC Clean: Structure + LiquidityThis indicator provides Smart Money Concepts (SMC) tools designed to help traders analyze market structure, liquidity pools, and institutional trading zones. It combines several popular SMC methods into one powerful, customizable tool, with a clean and controlled chart display. Features and How it Works: Swing Highs and Lows: The indicator identifies confirmed swing highs and swing lows using a lookback period (default: 15 bars). These points form the basis for market structure analysis. Equal Highs/Equal Lows (EQH/EQL): When price action creates repeated swing highs or lows within a defined tolerance, the tool automatically marks these areas as potential liquidity pools. These are levels where multiple stop orders may accumulate, sometimes leading to significant market moves. Liquidity Lines & Sweeps: Liquidity lines highlight unswept highs and lows, making it easy to see where price may hunt liquidity. When price crosses a swing high/low and closes back, a sweep label is shown (optional). BOS/CHOCH Detection: Break of Structure (BOS): Signals a continuation of the current trend if price closes beyond the previous swing point. Change of Character (CHOCH): Highlights when price reverses and breaks a key swing from the opposite direction, hinting at a potential trend change or shift in market regime. Only confirmed swing points are considered to avoid repainting. Premium & Discount Zones Explained: After a new confirmed swing high and swing low, the area between them forms a “range.” The premium zone is the upper half (from midpoint to swing high): this is typically considered where price is “expensive” or overvalued for the current swing, and is often watched for potential sell setups. The discount zone is the lower half (from swing low to midpoint): this is where price is “cheap” or undervalued for the current swing, commonly monitored for potential buy setups. Colored boxes mark these zones on your chart for instant reference. Dashboard (Movable Position): A visually enhanced dark-themed dashboard shows the current market structure (Bullish/Bearish), liquidity bias (Buy-Side, Sell-Side, or Balanced, based on unswept levels), and last swept side (i.e., which liquidity pool was last taken by price). Dashboard position can be set anywhere on your chart for best visibility. Customization Options: Enable/disable any feature individually for a cleaner chart. Control colors, transparency, and swing sensitivity via user settings. How to Use: Add the indicator to your chart and adjust settings to fit your trading style. Use swing lines and dashboard to determine current market structure and bias. Watch equal highs/lows and liquidity lines for possible sweep events. Use the premium/discount zones to locate optimal areas for trade entries—with institutional logic, buy when price reaches the discount (lower) zone, and look for sales in the premium (upper) zone. Use BOS/CHOCH signals as objective confirmations of trend or regime changes. Always interpret signals in context of broader price action. Important Notes: This indicator is educational and analytical—NO signals are guaranteed. All calculations are non-repainting and use only confirmed price data (no lookahead). No claims of predicting future price movement or performance are made. Disclaimer: This tool is for technical analysis education only. It is not a financial advice nor a guaranteed trading system. Please test all signals and concepts before using in live markets.
مؤشر Pine Script®
من ‎darshakssc‎
Complete DashboardPA+AI PRE/GO Trading Dashboard v0.1.2 - Publication Summary Overview A comprehensive multi-component trading system that combines technical analysis with an intelligent probability scoring framework to identify high-quality trade setups. The indicator features TTM Squeeze integration, volatility regime adaptation, and professional risk management tools—all presented in an intuitive 4-dashboard interface. Key Features 🎯 8-Component Probability Scoring System (0-100%) VWAP Position & Momentum - Price location and directional bias MACD Alignment - Trend confirmation and momentum strength EMA Trend Analysis - Multi-timeframe trend validation Volume Surge Detection - Relative volume analysis (RVOL) Price Extension Analysis - Distance from VWAP in ATR multiples TTM Squeeze Status - Volatility compression/expansion cycles Squeeze Momentum - Directional thrust measurement Confluence Scoring - Multi-indicator alignment bonus 🔥 TTM Squeeze Integration Squeeze Detection - Identifies consolidation phases (BB inside KC) Strength Classification - Distinguishes tight vs. loose squeezes Fire Signals - Premium entry alerts when squeeze releases Building Alerts - Early warnings when tight squeezes are coiling 📊 Volatility Regime Adaptation Dynamic Thresholds - Auto-adjusts based on ATR percentile (100-bar) Three Regimes - LOW VOL, NORMAL, HIGH VOL classification Adaptive Parameters - RVOL requirements and distance limits adjust automatically Context-Aware Scoring - Volume expectations scale with market volatility 💰 Professional Risk Management Position Sizing Calculator - Risk-based share calculation (% of account) ATR Trailing Stops - Dynamic stop-loss that tightens with profits Multiple Entry Strategies - VWAP reversion and pullback entries Complete Trade Info - Entry, stop, target, and size for every signal 📈 Multi-Timeframe Analysis Dashboard 4 Timeframes - Daily, 4H, 15m, 5m (customizable) 6 Metrics per TF - Price change, MACD, RSI, RVOL, EMA trend Alignment Visualization - Color-coded bull/bear indicators HTF Context - Understand broader market structure 🛡️ Reliability Features Confirm-on-Close - Eliminates intrabar repainting Minimum Bars Filter - Prevents premature signals on chart load NA-Safe Calculations - Works reliably on all symbols/timeframes Zero Division Protection - Bulletproof math across all market conditions What Makes This Indicator Unique Intelligent Probability Weighting Unlike binary "buy/sell" indicators, this system quantifies setup quality from 0-100%, allowing traders to: Filter by confidence - Only take 70%+ probability setups Size accordingly - Larger positions on higher probability signals Understand context - Know exactly why a signal fired Squeeze-Enhanced Entries The integration of TTM Squeeze analysis adds a powerful timing dimension: Premium Signals - 🔥 when squeeze fires + high probability (75%+) Regular Signals - Standard entries during trending conditions Avoid Chop - No entries during squeeze consolidation Strength Matters - Tight squeezes (BB width <20th percentile) get bonus points Adaptive Intelligence The volatility regime system ensures the indicator performs across all market conditions: Dead markets - Tighter thresholds prevent false signals Volatile markets - Loosened requirements catch real moves Automatic adjustment - No manual intervention needed Dashboard-Centric Design All critical information visible at a glance: Top-right - Probability breakdown & regime status Middle-right - Multi-timeframe alignment matrix Middle-left - RVOL status (volume confirmation) Bottom-right - Entry strategies with exact prices & sizes Ideal For ✅ Day Traders - Intraday setups with clear entry/exit ✅ Swing Traders - Multi-timeframe confirmation for position trades ✅ Options Traders - Squeeze timing for volatility expansion plays ✅ Systematic Traders - Quantified probabilities for rule-based systems ✅ Risk Managers - Built-in position sizing & stop placement Technical Specifications Indicator Type: Overlay (draws on price chart) Pine Script Version: v6 Calculation Method: Real-time, confirm-on-close option Alerts: 8 different alert types (premium entries, exits, squeeze warnings) Customization: 30+ input parameters Performance: Optimized for real-time updates Entry Strategies Included 1. VWAP Reversion Enter when price bounces off VWAP ± 0.7 ATR Targets mean reversion moves Best for range-bound or choppy markets 2. Pullback to Structure Enter on 50% retracement from swing high/low Targets trend continuation after healthy pullback Best for strong trending markets Both strategies include: Precise entry levels ATR-based stop placement Risk/reward targets Position size calculation Alert System 8 Alert Types: 🔥 Premium Long - Squeeze firing + bullish + high probability 🔥 Premium Short - Squeeze firing + bearish + high probability 🟢 High Probability Long - Standard bullish setup (70%+) 🔴 High Probability Short - Standard bearish setup (70%+) ⚡ Squeeze Coiling Long - Tight squeeze building, bullish bias ⚡ Squeeze Coiling Short - Tight squeeze building, bearish bias Exit Long - Long position exit signal Exit Short - Short position exit signal Settings & Customization Basic Settings ATR Length (default: 14) Confirm on Close (default: ON) Minimum Bars Required (default: 50) Squeeze Settings Bollinger Band Length & Multiplier Keltner Channel Length & Multiplier Momentum Length Squeeze strength classification Probability Settings MACD Parameters (12, 26, 9) Volume Surge Multiplier (1.5x) High/Medium Probability Thresholds (70%/50%) Volatility Regime Adaptation (ON/OFF) Risk Management Account Equity Risk % per Trade (default: 1%) ATR Trailing Stop (ON/OFF) Trail Multiplier (default: 2.0x) Visual Settings RVOL Period (20 bars) Fast/Slow EMA (9/21) Show/Hide each timeframe Dashboard positioning Use Cases Conservative Trading Set High Probability Threshold to 75%+ Enable Confirm-on-Close Only take Premium (🔥) entries Use 0.5% risk per trade Aggressive Trading Set Medium Probability Threshold to 50% Disable Confirm-on-Close (live signals) Take all High Probability entries Use 1.5-2% risk per trade Squeeze Specialist Focus exclusively on Premium entries (squeeze firing) Wait for "TIGHT SQUEEZE" status Monitor squeeze building alerts Enter immediately on fire signal Range Trading Use VWAP reversion entries only Lower probability threshold to 60% Tighter trailing stops (1.5x ATR) Focus on low volatility regime periods Performance Expectations Based on backtesting and design principles: Signal Quality: False signals reduced ~20-30% vs. single-indicator systems Win rate improvement ~5-10% from regime adaptation Average win size +15-20% from trailing stops Execution: Clear entry signals with exact prices Defined risk on every trade (stop loss) Consistent position sizing (% of account) Professional trade management Adaptability: Works across stocks, futures, forex, crypto Performs in trending and ranging markets Adjusts to changing volatility automatically Version History v0.1.2 (Current) Added squeeze momentum scoring (was calculated but unused) Implemented volatility regime adaptation Added confluence scoring (multi-indicator alignment) Enhanced squeeze strength classification (tight vs. loose) Improved reliability (confirm-on-close, NA-safe calculations) Added ATR trailing stops Added position sizing calculator Consolidated alert system v0.1.1 Initial release with 6-component probability system Basic TTM Squeeze integration Multi-timeframe analysis Entry strategy frameworks Limitations & Disclaimers ⚠️ Not a Holy Grail - No indicator is 100% accurate; losses will occur ⚠️ Requires Judgment - Use probability scores to guide, not replace, decision-making ⚠️ Backtesting Recommended - Test on paper/demo before live trading ⚠️ Market Dependent - Performance varies by asset class and market conditions ⚠️ Risk Management Essential - Always use stops; never risk more than you can afford to lose Installation & Setup Copy the Pine Script code Open TradingView chart Pine Editor → Paste code → "Add to Chart" Configure inputs for your trading style Set up alerts via TradingView alert menu Paper trade for 20+ signals before going live Future Development Roadmap Phase 3 (Planned) HTF alignment filter (require Daily + 4H confirmation) Session filters (avoid low-liquidity periods) Probability decay (signals lose value over time) Squeeze pre-alert enhancements Phase 4 (AI Integration) Feature vector export via webhooks ML-based parameter optimization Neural network regime classification Reinforcement learning for exits Support & Documentation Included Documentation: Complete changelog with implementation details Technical guide explaining all components Risk management best practices Alert configuration guide Best Practices: Start with default settings Enable Confirm-on-Close initially Use 1% risk per trade or less Focus on Premium (🔥) entries first Keep a trade journal to track performance Credits & Methodology Indicators Used: TTM Squeeze (John Carter) VWAP (Volume-Weighted Average Price) MACD (Gerald Appel) Exponential Moving Averages Average True Range (Wilder) Relative Volume Original Contributions: Multi-component probability weighting system Volatility regime adaptation framework Confluence scoring methodology Integrated risk management calculator Dashboard-centric visualization License & Terms Usage: Free for personal trading Modification: Open source, modify as needed Distribution: Credit original author if sharing modified versions Commercial Use: Contact author for licensing No Warranty: This indicator is provided "as-is" without guarantees of profitability. Trading involves substantial risk. Past performance does not guarantee future results. Quick Stats 📊 Components: 8 🎯 Probability Range: 0-100% 📈 Timeframes: 4 (customizable) 🔔 Alert Types: 8 ⚙️ Input Parameters: 30+ 📱 Dashboards: 4 💰 Entry Strategies: 2 (VWAP + Pullback) 🛡️ Risk Management: Integrated Status: Production Ready ✅ Version: 0.1.2 Last Updated: November 2025 Pine Script: v6 File Name: PA_AI_PRE_GO_v0.1.2_FIXED.pine One-Line Summary A professional-grade trading dashboard combining 8 technical components with TTM Squeeze analysis, volatility-adaptive thresholds, and integrated risk management—delivering quantified probability scores (0-100%) for every trade setup.
مؤشر Pine Script®
من ‎DayTradingMD1992‎
Quantura - Session High/LowIntroduction “Quantura – Session High/Low” is a professional-grade session mapping indicator that automatically identifies and visualizes the highs, lows, and ranges of key global trading sessions — London, New York, and Asia. It helps traders understand when and where liquidity tends to accumulate, allowing for better market structure analysis and session-based strategy alignment. Originality & Value This indicator unifies the three most influential global sessions into a single, adaptive visualization tool. Unlike typical session indicators, it dynamically updates live session highs and lows in real time while marking session boundaries and transitions. Its multi-session management system allows for immediate recognition of overlapping liquidity zones — a crucial feature for institutional and intraday traders. The value and originality come from: Real-time tracking of session highs, lows, and developing ranges. Simultaneous visualization of multiple global sessions. Optional vertical range lines for clearer visual segmentation. Customizable session times, colors, and time zone offset for global accuracy. Automatically extending and updating lines as each session progresses. Functionality & Core Logic Detects the start and end of each trading session (London, New York, Asia) using built-in time logic and user-defined UTC offsets. Initializes session-specific high and low variables at the start of each new session. Continuously updates session high/low levels as new candles form. Draws color-coded horizontal lines for each session’s high and low. Optionally adds vertical dotted lines to visually connect session range extremes. Locks each session’s range once it ends, preserving historical structure for review. Parameters & Customization New York Session: Enable/disable, customize time (default 15:30–21:30), and set color. London Session: Enable/disable, customize time (default 09:00–16:30), and set color. Asia Session: Enable/disable, customize time (default 02:30–08:00), and set color. Vertical Line: Toggle dotted vertical lines connecting session high and low levels. UTC Offset: Adjust session timing to align with your chart’s local time zone. Visualization & Display Each session is color-coded for quick identification (default: blue for London, red for New York, green for Asia). Horizontal lines track evolving session highs and lows in real time. Once a session closes, the lines remain fixed to mark historical range boundaries. Vertical dotted lines (optional) visually connect the session’s high and low for clarity. Supports full overlay display without interfering with other technical indicators. Use Cases Identify liquidity zones and range extremes formed during active trading sessions. Observe session overlaps (London–New York) to anticipate volatility spikes. Combine with volume or market structure tools for session-based confluence. Track how price interacts with prior session highs/lows to detect potential reversals. Analyze session-specific performance patterns for algorithmic or discretionary systems. Limitations & Recommendations The indicator is designed for intraday analysis and may not provide meaningful output on daily or higher timeframes. Adjust session times and UTC offset based on your broker’s or exchange’s timezone. Does not provide trading signals — it visualizes session structure only. Combine with liquidity and volatility indicators for full contextual understanding. Markets & Timeframes Compatible with all asset classes — including crypto, forex, indices, and commodities — and optimized for intraday timeframes (1m–4h). Particularly useful for traders analyzing session overlaps and volatility transitions. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description fully complies with TradingView’s Script Publishing Rules and House Rules . It provides a detailed explanation of functionality, parameters, and realistic use cases without making any performance or predictive claims.
مؤشر Pine Script®
من ‎Quantura‎
XAUUSD Best Strategy - Buy/Sell SignalsThe best strategy to trade XAUUSD (gold) often depends on your trading style and market conditions, but several high-probability approaches are recommended by top traders and industry experts for both scalping and swing trading.​ Trend-Following Using EMAs Use a combination of 9-period and 21-period Exponential Moving Averages (EMA) on the 5-minute or 15-minute chart. Enter long when the 9 EMA crosses above the 21 EMA, especially when overall trend aligns with higher timeframes (such as H1 or H4). Confirm entries with an RSI value above 50 for buys (or below 50 for sells). Set stop loss just below the latest swing low for long positions. Ideal for fast-moving, trending sessions (London and New York overlap).​
مؤشر Pine Script®
من ‎puzzledBook68692‎