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Bollinger Bands + MA 50/100/200📊 Bollinger Bands + MA 50 / 100 / 200 Indicator This indicator combines Bollinger Bands with key Moving Averages (50, 100, 200) to help you spot trend direction, volatility, and potential reversal zones in one clean view. 🔹 Bollinger Bands * Customizable length & MA type (SMA, EMA, RMA, WMA, VWMA) * Visualizes market volatility * Upper & lower bands help identify overbought / oversold conditions 🔹 Moving Averages * MA 50 → Short-term trend * MA 100 → Medium-term trend * MA 200 → Long-term trend & major support/resistance * Easy toggle on/off for clean charting 💡 How to use * Price near upper band + strong MA trend → possible continuation * Price near lower band → watch for bounce or breakdown * MA alignment (50 > 100 > 200) → bullish trend * MA cross & BB squeeze → potential breakout incoming ⚠️ Best used with price action & risk management 📌 Works on stocks, crypto, forex, indices
Penunjuk Pine Script®
oleh qwyra
Price Contraction / Expansion1. Introduction The Price Contraction / Expansion indicator highlights areas of market compression and volatility release by analyzing candle body size and volume behavior. It provides a fast, color-coded visualization to identify potential breakout zones, accumulation phases, or exhaustion movements. This tool helps traders recognize when price action is tightening before a volatility expansion — a common precursor to strong directional moves. 2. Key Features Dynamic body analysis: Compares each candle’s body size with a moving average to detect contraction (small bodies) and expansion (large bodies). Volume confirmation: Measures whether volume is unusually high or low compared to its recent average, helping filter false breaks. Color-coded system for clarity: Yellow: Contraction with high volume (potential accumulation or strong activity). Blue: Contraction with normal volume or expansion with low volume (neutral/reduced participation). Green: Expansion in bullish candle (buyer dominance). Red: Expansion in bearish candle (seller dominance). Customizable parameters: Adjust body and volume averaging periods and thresholds to fit different market conditions or timeframes. 3. How to Use Identify contraction zones: Look for blue or yellow bars to locate areas of price compression — these often precede breakouts or large movements. Wait for expansion confirmation: A shift to green or red bars with increasing volume indicates that volatility is expanding and momentum is building. Combine with context: Use this indicator alongside trend tools, liquidity zones, or moving averages to confirm directional bias and filter noise. Adapt thresholds: In highly volatile markets, increase the “Threshold multiplier” to reduce false contraction signals. This indicator is most effective for traders who focus on volatility behavior, market structure, and timing potential breakout opportunities.
Penunjuk Pine Script®
oleh destrobr0685
Market Efficiency Ratio [Interakktive]The Market Efficiency Ratio decomposes price movement into two components: net progress vs wasted movement. This tool exposes the underlying math that most traders never see, helping you understand when price is moving efficiently versus chopping sideways. Unlike simple trend indicators, this shows you WHY price movement matters — not just whether it's up or down, but how much of that movement was useful directional progress versus noisy oscillation. █ WHAT IT DOES • Calculates Efficiency Ratio (0–1 or 0–100) measuring directional progress • Exposes Net Displacement (how far price actually moved) • Exposes Path Length (total distance price traveled) • Calculates Chop Cost (wasted movement) • Visual zones for high/mid/low efficiency states █ WHAT IT DOES NOT DO • NO signals, NO entries/exits, NO buy/sell • NO performance claims • NO predictions — purely diagnostic • This is a tool for understanding price behavior █ HOW IT WORKS The efficiency ratio answers one question: "Of all the movement price made, how much was useful progress?" 🔹 THE MATH Over a lookback period of N bars: Net Displacement = |Close - Close | Path Length = Σ |Close - Close | for all bars Efficiency Ratio = Net Displacement / Path Length 🔹 INTERPRETATION • Efficiency = 1.0 (100%): Price moved in a straight line — every tick was progress • Efficiency = 0.5 (50%): Half the movement was wasted in back-and-forth chop • Efficiency = 0.0 (0%): Price ended exactly where it started — all movement was noise 🔹 CHOP COST This is the "wasted movement" — how much price traveled without making progress: Chop Cost = Path Length - Net Displacement Chop % = Chop Cost / Path Length High chop cost means lots of effort for little result — a warning sign for trend traders. █ VISUAL GUIDE Three efficiency zones: • GREEN (≥70): High efficiency — strong directional movement • YELLOW (30-70): Mixed efficiency — some progress, some chop • RED (<30): Low efficiency — mostly noise, little progress █ INPUTS Lookback Length (default: 14) Number of bars to calculate efficiency over. Higher values produce smoother readings but respond slower to changes. Smoothing Length (default: 5) EMA smoothing applied to the output. Reduces noise in the efficiency reading. Apply Smoothing (default: true) Toggle EMA smoothing on/off. Scale Mode (default: 0–100) Display as percentage (0-100) or decimal ratio (0-1). Show Reference Bands (default: true) Display the high/low efficiency threshold lines. Low/High Efficiency Level (default: 30/70) Thresholds for classifying efficiency zones. Overlay Effect (default: None) • None: No overlay • Background Tint: Subtle chart background color in high/low zones • Bar Highlight: Color bars during low efficiency periods Show Data Window Values (default: true) Export all raw values (Net Displacement, Path Length, Efficiency, Chop Cost, Chop %) to the data window for analysis. █ USE CASES This indicator helps traders understand: • Why some trends are "clean" and others are "messy" • When price is consolidating vs trending (without using volume) • The relationship between movement and progress • Why high-chop environments are difficult to trade This is the foundational concept behind more advanced regime detection systems. █ SUITABLE MARKETS Works on: Stocks, Futures, Forex, Crypto Timeframes: All timeframes Note: This is a price-only indicator — no volume required █ DISCLAIMER This indicator is for informational and educational purposes only. It does not constitute financial advice. It does not generate trading signals. Past performance does not guarantee future results. Always conduct your own analysis.
Penunjuk Pine Script®
oleh Interakktive
1
AKILLI ANALIZ TERMINALI (V20-REVIZE)SMART ANALYSIS TERMINAL (V20-ULTIMATE) This indicator is a professional-grade analysis terminal designed for both strategic daily analysis (Swing Trade) and real-time intraday trading (Scalp/Day Trade). It allows you to perform a complete technical X-ray of the market on a single dashboard. CORE FEATURES: - Dual-Mode Hybrid Engine: Choose between "NIGHT (ANALYSIS)" or "IN-DAY (AGGRESSIVE)" modes in settings. Mathematical periods and target levels update automatically. - Smart Scoring System: Blends RSI, MACD, EMA, ADX, and Volume data to produce 5 distinct signals from "VERY POSITIVE" to "VERY NEGATIVE." - Symmetrical Visual Panel: Left panel displays Live Signal, Pivot Balance, Money Flow, and Target/Support; right panel focuses on RSI, Trend, Momentum, and Volume confirmation. - Money Flow Algorithm: Detects institutional accumulation (Entry) or distribution (Exit) by analyzing price-volume correlation. USER GUIDE: 1. NIGHT MODE: Use for evening analysis to plan for the next day. Based on EMA 20/50 and standard MACD values. 2. IN-DAY MODE: Use during live sessions on 5m and 15m charts. Catch instant momentum shifts with EMA 9/21 and aggressive settings.
Penunjuk Pine Script®
oleh metinnitem
Professional 3SD Institutional Rejection This indicator identifies institutional "liquidity grab" and "momentum exhaustion" zones using the statistical extremes of 3 Standard Deviations (3SD) on Bollinger Bands. Unlike standard strategies, it doesn't just look for band touches; it confirms price "wicking" outside the 3SD and closing back inside the 2SD band (rejection), while ensuring the Money Flow Index (MFI) shows signs of exhaustion. It is highly effective on 1H, 4H, and Daily timeframes for mean-reversion setups targeting the median line.
Penunjuk Pine Script®
oleh PipsPilot
GME Warrant Tracker [theUltimator5]The GME Warrant Tracker was designed to be used for GME warrants tracking. The theory behind this indicator is that warrants are priced similarly to options and generally follow the same Greeks. With that assumption, we can break down the price of the warrants by using known Greeks to estimate either the theoretical price, or even estimate Implied Volatility (IV). The base settings for this indicator plot the calculated IV, the theoretical price (there are multiple methods of calculation which I will discuss later) and the current warrant price. You can toggle on or off all of these plots to display only what you want to track. For example, you can simply track the difference between the theoretical price and the current price to see if warrants are trading at a premium or a discount vs what the indicator calculates it to be. Calculating implied volatility is extremely difficult and must be approximated. The theoretical warrant price produced by this indicator depends primarily on the volatility input (σ) used in the Black–Scholes pricing model. This script supports five distinct methods for approximating σ, each extracting different information from the market. 1) Close-to-Close Historical Volatility Close-to-Close computes the standard deviation of daily close-to-close returns and uses a lookback window scaled to time-to-expiry. As the expiration approaches, the lookback window tightens, giving a more responsive volatility approximation relative to time-to-expiry. This option produces conservative approximations for volatility, and may lag actual volatility intraday. 2) Parkinson High-Low Volatility Parkinson High-Low volatility uses daily high and low prices to calculate intraday trading range for a more responsive estimation to volatility. It ignores opening and close gaps, so overnight volatility is not accounted for. This option produces higher theoretical volatility during choppy price action and can over estimate actual volatility. 3) Garman–Klass Volatility Garman–Klass volatility is a way to estimate how much price is fluctuating by using the open, high, low, and close for each period. Because it draws on multiple intraperiod price points (not just the range or close-to-close moves), it typically produces a tighter, more informative volatility estimate than simpler approaches. It’s often most helpful when gaps occur and when the open and close carry meaningful information about the session’s trading. 4)Yang–Zhang Volatility The Yang–Zhang volatility estimator is designed to account for both opening jumps and price drift. It estimates volatility by combining overnight (close-to-open) variance, intraday (open-to-close) variance, and a weighted Rogers–Satchell component using OHLC data, often yielding a more robust measure than simpler close-to-close style estimators. 5) Option price By default, the indicator uses the call option strike dated closest to the warrant expiration date. Since the Greeks for both the warrants and the options are assumed to be equivalent with a minor difference in theta (time-to-expiry), the theoretical price of the warrants closely matches the trade price of the call strike chosen. There is a table that can be enabled (off by default because it is large and fills entire screen on mobile) which shows all the configuration settings and Greeks. You can also manually adjust the "dilution" factor for the warrants, which shifts the number of active warrants and moves the count into the shares outstanding for the underlying (GME). The reason for this is that as warrants get exercised, the total quantity of warrants in circulation decreases and the the total quantity of shares outstanding increases. Since this indicator was built around the single warrant, ticker NYSE: GME/W, it is only meant to be used with NYSE:GME. Any other ticker will not work properly with this indicator.
Penunjuk Pine Script®
oleh TheUltimator5
BK AK-IED💥 Introducing BK AK-IED — Volatility Ignition / Expansion / Detonation 💥 A pressure-to-release weapon system for traders who want timing, not noise. Markets don’t move clean because they “feel like it.” They load, they ignite, and then they detonate into expansion. BK AK-IED is built to expose that sequence in real time—so you stop trading randomness and start trading regime shifts. ⚔️ What BK AK-IED is BK AK-IED is a 3-speed VWMA energy oscillator that blends price movement + volume into a single pressure readout: Fast (5) = ignition energy (range-driven) Medium (21) = core pressure engine Slow (55) = structural volatility backdrop It’s not a “direction oracle.” It’s an energy meter that tells you when the market is coiling, when it’s waking up, and when it’s breaking out with force. 🧠 Core Weapon Systems ✅ Dynamic Scaling Keeps the oscillator readable across symbols (no ridiculous y-axis blowouts). ✅ Volatility State Bar (Bottom Strip) — Your War Room 🟨 CONTRACTION = VWMA convergence / coil / pressure loading 🟩 EXPANSION = energy spike begins 🟥 BREAKOUT = expansion without contraction (release phase) ⬜ NEUTRAL = dead zone, don’t force it ✅ Breakout Peak Icons (Crown markers) Crowns print only when there’s true breakout energy and the move hits major peak territory versus recent extremes. Translation: tighten risk, scale-out, stop getting greedy. These are exhaustion warnings—not automatic reversals. Timeframe-adaptive peak filtering is built in: < 1H: stricter peak requirement ≥ 1H: more realistic swing threshold 🧭 How to use it (execution, not opinions) 1) 🟨 Contraction = don’t bleed. This is the chop factory. You wait. You map levels. You stalk. 2) 🟩 Expansion = prepare. Start aligning with structure: trend framework, VWAP, key levels, HTF bias. 3) 🟥 Breakout = engage. This is where moves pay. Trade the direction your structure supports and manage risk like a professional. 4) 👑 Peak during breakout = harvest / protect. Scale. Tighten stops. Don’t turn winners into donations. 🧱 Inputs that matter (what you’re actually tuning) Amplitude Multiplier = how aggressive the energy read is VWMA Spread Contraction Threshold = how tight “coil” must be to count Scale Lookback = how far back the dynamic scaling references Peak Thresholds = how selective peaks are (auto-switches based on timeframe) The “AK” in the name is an acknowledgment of my mentor A.K. His standards (patience, precision, clarity, and emotional control) are a major reason I build tools with structure instead of hype. And above all: all praise to Gd — the true source of wisdom, restraint, and right timing. 👑 King Solomon Lens — ZENITH Discipline Solomon didn’t build greatness by impulse. He built it by measure, order, and restraint. When the Temple was built, the stones were prepared away from the site—so the structure went up with precision, not chaos. That is the market lesson: the decisive moment is loud, but the preparation is silent. If you only show up for the noise, you will always arrive late. BK AK-IED is that Solomon blueprint on a chart: 🟨 Contraction is the quarry. The market is cutting the stones in silence. This is where the undisciplined burn money “doing something.” The wise do the opposite: they reduce noise, define levels, and wait. 🟩 Expansion is the line being set. Pressure starts to move. This is where you bring structure online—bias, levels, risk plan. Not excitement. 🟥 Breakout is the placement. The stone drops into position. This is the only phase where aggression is righteous—because it’s backed by a real shift, not hope. 👑 Peak icons are ZENITH—crown-of-the-move logic. Zenith is where force and momentum reach their highest point before decay begins. The crown is not “celebrate and add.” The crown is govern yourself: harvest, tighten, protect. Solomon’s edge wasn’t prediction—it was rule over the self. That’s what separates profit from punishment. This is what wisdom looks like in trading: not guessing the future—governing your exposure when the present is telling you the truth. And may Gd bless your restraint as much as your entries, because restraint is where survival becomes power. ✅ Final BK AK-IED is your volatility weapon for market warfare: Load → Ignite → Detonate. Use it with structure. Use it with discipline. And give praise to Gd for every protected loss, every clean entry, and every moment you didn’t force a trade. 🙏
Penunjuk Pine Script®
oleh Ki11a_B
Trading Volatility Clock⏰ TRADING VOLATILITY CLOCK - Know When the Action Happens (Anywhere in the World) A real-time session tracker with multi-timezone support for active traders who need to know when US market volatility strikes - no matter where they are in the world. Perfect for day traders, scalpers, and anyone trading liquid US markets. ══════════════════════════════════════════════════════ 📊 WHAT IT DOES This indicator displays a live clock showing: - Current time in YOUR selected timezone (10 major timezones supported) - Active US market session with color-coded volatility levels - Countdown timer showing time remaining in current session - Preview of the next upcoming session - Optional alerts when entering high-volatility periods ══════════════════════════════════════════════════════ 🌍 MULTI-TIMEZONE SUPPORT SESSIONS ALWAYS TRACK US MARKET HOURS (Eastern Time): No matter which timezone you select, the sessions always trigger at the correct US market times. Perfect for international traders who want to: • See their local time while tracking US market sessions • Know exactly when US volatility hits in their timezone • Plan their trading day around US market hours SUPPORTED TIMEZONES: • America/New_York (ET) - Eastern Time • America/Chicago (CT) - Central Time • America/Los_Angeles (PT) - Pacific Time • Europe/London (GMT) - Greenwich Mean Time • Europe/Berlin (CET) - Central European Time • Asia/Tokyo (JST) - Japan Standard Time • Asia/Shanghai (CST) - China Standard Time • Asia/Hong_Kong (HKT) - Hong Kong Time • Australia/Sydney (AEDT) - Australian Eastern Time • UTC - Coordinated Universal Time EXAMPLE: A trader in Tokyo selects "Asia/Tokyo" • Clock shows: 11:30 PM JST • Session shows: "Opening Drive" 🔥 HIGH • They know: US market just opened (9:30 AM ET in New York) ══════════════════════════════════════════════════════ 🎯 WHY IT'S USEFUL Whether you trade futures, high-volume stocks, or ETFs, volatility isn't constant throughout the day. Knowing WHEN to expect movement is critical: 🔥 HIGH VOLATILITY (Red): • Opening Drive (9:30-10:30 AM ET) - Highest volume of the day • Power Hour (3:00-4:00 PM ET) - Second-highest volume, final push ⚡ MEDIUM VOLATILITY (Yellow): • Pre-Market (8:00-9:30 AM ET) - Building momentum • Lunch Return (1:00-2:00 PM ET) - Traders returning • Afternoon Session (2:00-3:00 PM ET) - Trend continuation • After Hours (4:00-5:00 PM ET) - News reactions 💤 LOW VOLATILITY (Gray): • Overnight Grind (12:00-8:00 AM ET) - Thin volume • Mid-Morning Chop (10:30-11:30 AM ET) - Ranges form • Lunch Hour (11:30 AM-1:00 PM ET) - Dead zone • Evening Fade (5:00-8:00 PM ET) - Volume dropping ══════════════════════════════════════════════════════ ⚙️ CUSTOMIZATION OPTIONS TIMEZONE SETTINGS: • Select from 10 major timezones worldwide • Clock automatically displays in your local time • Sessions remain locked to US market hours SESSION TIME CUSTOMIZATION: • Every session boundary is adjustable (in minutes from midnight ET) • Perfect for traders who define sessions differently • Advanced users can create custom volatility schedules DISPLAY OPTIONS: • Toggle next session preview on/off • Enable/disable high volatility alerts • Clean, unobtrusive table display in top-right corner ══════════════════════════════════════════════════════ 💡 HOW TO USE 1. Add indicator to any chart (works on all timeframes) 2. Select your timezone in Settings → Timezone Settings 3. Set your chart to 1-minute timeframe for real-time updates 4. Customize session times if needed (Settings → Session Time Customization) 5. Watch the top-right corner for live session tracking TRADING APPLICATIONS: • Avoid trading during dead zones (lunch hour, mid-morning chop) • Increase position size during high volatility windows • Set alerts for Opening Drive and Power Hour • Plan your trading day around US market volatility schedule • International traders can track US sessions in their local time ══════════════════════════════════════════════════════ 🎓 EDUCATIONAL VALUE This indicator teaches traders: • Market microstructure and volume patterns • Why certain times produce better opportunities • How institutional flows create intraday patterns • The importance of timing in active trading • How to adapt US market trading to any timezone ══════════════════════════════════════════════════════ ⚠️ IMPORTANT NOTES - Works best on 1-minute charts for frequent updates - Sessions are ALWAYS based on US Eastern Time (ET) - Timezone selection only changes the clock display - Clock updates when new bar closes (not tick-by-tick) - Alerts trigger once per bar when enabled - Perfect for international traders tracking US markets ══════════════════════════════════════════════════════ 📈 BEST USED WITH - High-volume US stocks: TSLA, NVDA, AAPL, AMD, META - Major US ETFs: SPY, QQQ, IWM, DIA - US Futures: ES, NQ, RTY, YM, MES, MNQ - Any liquid US instrument with clear intraday volume patterns ══════════════════════════════════════════════════════ 🌏 FOR INTERNATIONAL TRADERS This tool is specifically designed for traders outside the US who need to: • Track US market sessions in their local timezone • Know when to be at their desk for US volatility • Avoid waking up for low-volatility periods • Maximize trading efficiency around US market hours No more timezone confusion. No more missing the opening bell. Just set your timezone and trade with confidence. ══════════════════════════════════════════════════════ This is an open-source educational tool. Feel free to modify and adapt to your trading style! Happy Trading! 🚀
Penunjuk Pine Script®
oleh daniel_lee7395
FVG Heatmap [Hash Capital Research]FVG Map FVG Map is a visual Fair Value Gap (FVG) mapping tool built to make displacement imbalances easy to see and manage in real time. It detects 3-candle FVG zones, plots them as clean heatmap boxes, tracks partial mitigation (how much of the zone has been filled), and summarizes recent “fill speed” behavior in a small regime dashboard. This is an indicator (not a strategy). It does not place trades and it does not publish performance claims. It is a market-structure visualization tool intended to support discretionary or systematic workflows. What this script detects Bullish FVG (gap below price) A bullish FVG is detected when the candle from two bars ago has a high below the current candle’s low. The zone spans from that prior high up to the current low. Bearish FVG (gap above price) A bearish FVG is detected when the candle from two bars ago has a low above the current candle’s high. The zone spans from the current high up to that prior low. What makes it useful Heatmap zones (clean, readable FVG boxes) Bullish zones plot below price. Bearish zones plot above price. Partial fill tracking (mitigation progress) As price trades back into a zone, the script visually shows how much of the zone has been filled. Mitigation modes (your definition of “filled”) • Full Fill: price fully trades through the zone • 50% Fill: price reaches the midpoint of the zone • First Touch: price touches the zone one time Optional auto-cleanup Optionally remove zones once they’re mitigated to keep the chart clean. Fill-Speed Regime Dashboard When zones get mitigated, the script records how many bars it took to fill and summarizes the recent environment: • Average fill time • Median fill time • % fast fills vs % slow fills • Regime label: choppy/mean-revert, trending/displacement, or mixed How to use Use FVG zones as structure, not guaranteed signals. • Bullish zones are often watched as potential support on pullbacks. • Bearish zones are often watched as potential resistance on rallies. The fill-speed dashboard helps provide context: fast fills tend to appear in more rotational conditions, while slow fills tend to appear in stronger trend/displacement conditions. Alerts Bullish FVG Created Bearish FVG Created Notes FVGs are not guaranteed reversal points. Fill-speed/regime is descriptive of recent behavior and should be treated as context, not prediction. On realtime candles, visuals may update as the bar forms.
Penunjuk Pine Script®
oleh Hash_Capital
QUANT TRADING ENGINE [PointAlgo]Quant Trading Engine is a quantitative market-analysis indicator that combines multiple statistical factors to study trend behavior, mean reversion, volatility, execution efficiency, and market stability. The indicator converts raw price behavior into standardized signals to help evaluate directional bias and risk conditions in a systematic way. This script focuses on factor alignment and regime awareness, not prediction certainty. Design Philosophy Markets move through different regimes such as trending, ranging, volatile expansion, and instability. This indicator attempts to model these regimes by blending: Momentum strength Mean-reversion pressure Volatility risk Trend filtering Execution context (VWAP) Correlation structure Each component is normalized and combined into a single Quant Alpha framework. Factor Construction 1. Momentum Factor Measures directional strength using percentage price change over a rolling window. Standardized using mean and standard deviation. Represents trend continuation pressure. 2. Mean Reversion Factor Measures deviation from a longer moving average. Standardized to identify stretched conditions. Designed to capture counter-trend behavior. Directional Clamping Mean-reversion signals are dynamically restricted: No counter-trend buying during downtrends. No counter-trend selling during uptrends. Allows both sides only in neutral regimes. This prevents conflicting signals in strong trends. 3. Volatility Factor Uses realized volatility derived from price changes. Penalizes environments where volatility deviates significantly from its norm. Acts as a risk adjustment rather than a directional driver. 4. Composite Quant Alpha The final Quant Alpha is a weighted blend of: Momentum Mean reversion (trend-clamped) Volatility risk The composite is standardized into a Z-score, allowing consistent interpretation across instruments and timeframes. Signal Logic Buy signal occurs when Quant Alpha crosses above zero. Sell signal occurs when Quant Alpha crosses below zero. Zero-cross logic is used to represent shifts from negative to positive statistical bias and vice versa. Signals reflect statistical regime change, not trade instructions. Volatility Smile Context Measures price deviation from its statistical distribution. Identifies skewed conditions where upside or downside volatility becomes dominant. Highlights extreme deviations that may imply elevated derivative risk. Exotic Risk Conditions Detects sudden price expansion combined with volatility spikes. Highlights environments where execution and risk become unstable. Visual background cues are used for awareness only. Execution Context (VWAP) Measures price distance from VWAP. Used to assess execution efficiency rather than direction. Helps identify stretched conditions relative to average traded price. Correlation Structure Evaluates short-term return correlations. Detects when price behavior becomes less predictable. Flags structural instability rather than trend direction. Visualization The indicator plots: Quant Alpha (scaled) with directional coloring Volatility smile deviation Price vs VWAP distance Correlation structure Signal markers indicate Quant Alpha zero-cross events and risk conditions. Dashboard A compact dashboard summarizes: Trend filter state Quant Alpha polarity and value Individual factor readings Current action state (Buy / Sell / Wait / Risk) The dashboard provides a real-time snapshot of internal model conditions. Usage Notes Designed for analytical interpretation and research. Best used alongside price action and risk management tools. Factor behavior depends on instrument liquidity and volatility. Not optimized for illiquid or irregular markets. Disclaimer This script is provided for educational and analytical purposes only. It does not provide financial, investment, or trading advice. All outputs should be independently validated before making any trading decisions.
Penunjuk Pine Script®
oleh pointalgo
ORB Fusion🎯 CORE INNOVATION: INSTITUTIONAL ORB FRAMEWORK WITH FAILED BREAKOUT INTELLIGENCE ORB Fusion represents a complete institutional-grade Opening Range Breakout system combining classic Market Profile concepts (Initial Balance, day type classification) with modern algorithmic breakout detection, failed breakout reversal logic, and comprehensive statistical tracking. Rather than simply drawing lines at opening range extremes, this system implements the full trading methodology used by professional floor traders and market makers—including the critical concept that failed breakouts are often higher-probability setups than successful breakouts . The Opening Range Hypothesis: The first 30-60 minutes of trading establishes the day's value area —the price range where the majority of participants agree on fair value. This range is formed during peak information flow (overnight news digestion, gap reactions, early institutional positioning). Breakouts from this range signal directional conviction; failures to hold breakouts signal trapped participants and create exploitable reversals. Why Opening Range Matters: 1. Information Aggregation : Opening range reflects overnight news, pre-market sentiment, and early institutional orders. It's the market's initial "consensus" on value. 2. Liquidity Concentration : Stop losses cluster just outside opening range. Breakouts trigger these stops, creating momentum. Failed breakouts trap traders, forcing reversals. 3. Statistical Persistence : Markets exhibit range expansion tendency —when price accepts above/below opening range with volume, it often extends 1.0-2.0x the opening range size before mean reversion. 4. Institutional Behavior : Large players (market makers, institutions) use opening range as reference for the day's trading plan. They fade extremes in rotation days and follow breakouts in trend days. Historical Context: Opening Range Breakout methodology originated in commodity futures pits (1970s-80s) where floor traders noticed consistent patterns: the first 30-60 minutes established a "fair value zone," and directional moves occurred when this zone was violated with conviction. J. Peter Steidlmayer formalized this observation in Market Profile theory, introducing the "Initial Balance" concept—the first hour (two 30-minute periods) defining market structure. 📊 OPENING RANGE CONSTRUCTION Four ORB Timeframe Options: 1. 5-Minute ORB (0930-0935 ET): Captures immediate market direction during "opening drive"—the explosive first few minutes when overnight orders hit the tape. Use Case: • Scalping strategies • High-frequency breakout trading • Extremely liquid instruments (ES, NQ, SPY) Characteristics: • Very tight range (often 0.2-0.5% of price) • Early breakouts common (7 of 10 days break within first hour) • Higher false breakout rate (50-60%) • Requires sub-minute chart monitoring Psychology: Captures panic buyers/sellers reacting to overnight news. Range is small because sample size is minimal—only 5 minutes of price discovery. Early breakouts often fail because they're driven by retail FOMO rather than institutional conviction. 2. 15-Minute ORB (0930-0945 ET): Balances responsiveness with statistical validity. Captures opening drive plus initial reaction to that drive. Use Case: • Day trading strategies • Balanced scalping/swing hybrid • Most liquid instruments Characteristics: • Moderate range (0.4-0.8% of price typically) • Breakout rate ~60% of days • False breakout rate ~40-45% • Good balance of opportunity and reliability Psychology: Includes opening panic AND the first retest/consolidation. Sophisticated traders (institutions, algos) start expressing directional bias. This is the "Goldilocks" timeframe—not too reactive, not too slow. 3. 30-Minute ORB (0930-1000 ET): Classic ORB timeframe. Default for most professional implementations. Use Case: • Standard intraday trading • Position sizing for full-day trades • All liquid instruments (equities, indices, futures) Characteristics: • Substantial range (0.6-1.2% of price) • Breakout rate ~55% of days • False breakout rate ~35-40% • Statistical sweet spot for extensions Psychology: Full opening auction + first institutional repositioning complete. By 10:00 AM ET, headlines are digested, early stops are hit, and "real" directional players reveal themselves. This is when institutional programs typically finish their opening positioning. Statistical Advantage: 30-minute ORB shows highest correlation with daily range. When price breaks and holds outside 30m ORB, probability of reaching 1.0x extension (doubling the opening range) exceeds 60% historically. 4. 60-Minute ORB (0930-1030 ET) - Initial Balance: Steidlmayer's "Initial Balance"—the foundation of Market Profile theory. Use Case: • Swing trading entries • Day type classification • Low-frequency institutional setups Characteristics: • Wide range (0.8-1.5% of price) • Breakout rate ~45% of days • False breakout rate ~25-30% (lowest) • Best for trend day identification Psychology: Full first hour captures A-period (0930-1000) and B-period (1000-1030). By 10:30 AM ET, all early positioning is complete. Market has "voted" on value. Subsequent price action confirms (trend day) or rejects (rotation day) this value assessment. Initial Balance Theory: IB represents the market's accepted value area . When price extends significantly beyond IB (>1.5x IB range), it signals a Trend Day —strong directional conviction. When price remains within 1.0x IB, it signals a Rotation Day —mean reversion environment. This classification completely changes trading strategy. 🔬 LTF PRECISION TECHNOLOGY The Chart Timeframe Problem: Traditional ORB indicators calculate range using the chart's current timeframe. This creates critical inaccuracies: Example: • You're on a 5-minute chart • ORB period is 30 minutes (0930-1000 ET) • Indicator sees only 6 bars (30min ÷ 5min/bar = 6 bars) • If any 5-minute bar has extreme wick, entire ORB is distorted The Problem Amplifies: • On 15-minute chart with 30-minute ORB: Only 2 bars sampled • On 30-minute chart with 30-minute ORB: Only 1 bar sampled • Opening spike or single large wick defines entire range (invalid) Solution: Lower Timeframe (LTF) Precision: ORB Fusion uses `request.security_lower_tf()` to sample 1-minute bars regardless of chart timeframe: ``` For 30-minute ORB on 15-minute chart: - Traditional method: Uses 2 bars (15min × 2 = 30min) - LTF Precision: Requests thirty 1-minute bars, calculates true high/low ``` Why This Matters: Scenario: ES futures, 15-minute chart, 30-minute ORB • Traditional ORB: High = 5850.00, Low = 5842.00 (range = 8 points) • LTF Precision ORB: High = 5848.50, Low = 5843.25 (range = 5.25 points) Difference: 2.75 points distortion from single 15-minute wick hitting 5850.00 at 9:31 AM then immediately reversing. LTF precision filters this out by seeing it was a fleeting wick, not a sustained high. Impact on Extensions: With inflated range (8 points vs 5.25 points): • 1.5x extension projects +12 points instead of +7.875 points • Difference: 4.125 points (nearly $200 per ES contract) • Breakout signals trigger late; extension targets unreachable Implementation: ```pinescript getLtfHighLow() => float ha = request.security_lower_tf(syminfo.tickerid, "1", high) float la = request.security_lower_tf(syminfo.tickerid, "1", low) ``` Function returns arrays of 1-minute high/low values, then finds true maximum and minimum across all samples. When LTF Precision Activates: Only when chart timeframe exceeds ORB session window: • 5-minute chart + 30-minute ORB: LTF used (chart TF > session bars needed) • 1-minute chart + 30-minute ORB: LTF not needed (direct sampling sufficient) Recommendation: Always enable LTF Precision unless you're on 1-minute charts. The computational overhead is negligible, and accuracy improvement is substantial. ⚖️ INITIAL BALANCE (IB) FRAMEWORK Steidlmayer's Market Profile Innovation: J. Peter Steidlmayer developed Market Profile in the 1980s for the Chicago Board of Trade. His key insight: market structure is best understood through time-at-price (value area) rather than just price-over-time (traditional charts). Initial Balance Definition: IB is the price range established during the first hour of trading, subdivided into: • A-Period : First 30 minutes (0930-1000 ET for US equities) • B-Period : Second 30 minutes (1000-1030 ET) A-Period vs B-Period Comparison: The relationship between A and B periods forecasts the day: B-Period Expansion (Bullish): • B-period high > A-period high • B-period low ≥ A-period low • Interpretation: Buyers stepping in after opening assessed • Implication: Bullish continuation likely • Strategy: Buy pullbacks to A-period high (now support) B-Period Expansion (Bearish): • B-period low < A-period low • B-period high ≤ A-period high • Interpretation: Sellers stepping in after opening assessed • Implication: Bearish continuation likely • Strategy: Sell rallies to A-period low (now resistance) B-Period Contraction: • B-period stays within A-period range • Interpretation: Market indecisive, digesting A-period information • Implication: Rotation day likely, stay range-bound • Strategy: Fade extremes, sell high/buy low within IB IB Extensions: Professional traders use IB as a ruler to project price targets: Extension Levels: • 0.5x IB : Initial probe outside value (minor target) • 1.0x IB : Full extension (major target for normal days) • 1.5x IB : Trend day threshold (classifies as trending) • 2.0x IB : Strong trend day (rare, ~10-15% of days) Calculation: ``` IB Range = IB High - IB Low Bull Extension 1.0x = IB High + (IB Range × 1.0) Bear Extension 1.0x = IB Low - (IB Range × 1.0) ``` Example: ES futures: • IB High: 5850.00 • IB Low: 5842.00 • IB Range: 8.00 points Extensions: • 1.0x Bull Target: 5850 + 8 = 5858.00 • 1.5x Bull Target: 5850 + 12 = 5862.00 • 2.0x Bull Target: 5850 + 16 = 5866.00 If price reaches 5862.00 (1.5x), day is classified as Trend Day —strategy shifts from mean reversion to trend following. 📈 DAY TYPE CLASSIFICATION SYSTEM Four Day Types (Market Profile Framework): 1. TREND DAY: Definition: Price extends ≥1.5x IB range in one direction and stays there. Characteristics: • Opens and never returns to IB • Persistent directional movement • Volume increases as day progresses (conviction building) • News-driven or strong institutional flow Frequency: ~20-25% of trading days Trading Strategy: • DO: Follow the trend, trail stops, let winners run • DON'T: Fade extremes, take early profits • Key: Add to position on pullbacks to previous extension level • Risk: Getting chopped in false trend (see Failed Breakout section) Example: FOMC decision, payroll report, earnings surprise—anything creating one-sided conviction. 2. NORMAL DAY: Definition: Price extends 0.5-1.5x IB, tests both sides, returns to IB. Characteristics: • Two-sided trading • Extensions occur but don't persist • Volume balanced throughout day • Most common day type Frequency: ~45-50% of trading days Trading Strategy: • DO: Take profits at extension levels, expect reversals • DON'T: Hold for massive moves • Key: Treat each extension as a profit-taking opportunity • Risk: Holding too long when momentum shifts Example: Typical day with no major catalysts—market balancing supply and demand. 3. ROTATION DAY: Definition: Price stays within IB all day, rotating between high and low. Characteristics: • Never accepts outside IB • Multiple tests of IB high/low • Decreasing volume (no conviction) • Classic range-bound action Frequency: ~25-30% of trading days Trading Strategy: • DO: Fade extremes (sell IB high, buy IB low) • DON'T: Chase breakouts • Key: Enter at extremes with tight stops just outside IB • Risk: Breakout finally occurs after multiple failures Example: [/b> Pre-holiday trading, summer doldrums, consolidation after big move. 4. DEVELOPING: Definition: Day type not yet determined (early in session). Usage: Classification before 12:00 PM ET when IB extension pattern unclear. ORB Fusion's Classification Algorithm: ```pinescript if close > ibHigh: ibExtension = (close - ibHigh) / ibRange direction = "BULLISH" else if close < ibLow: ibExtension = (ibLow - close) / ibRange direction = "BEARISH" if ibExtension >= 1.5: dayType = "TREND DAY" else if ibExtension >= 0.5: dayType = "NORMAL DAY" else if close within IB: dayType = "ROTATION DAY" ``` Why Classification Matters: Same setup (bullish ORB breakout) has opposite implications: • Trend Day : Hold for 2.0x extension, trail stops aggressively • Normal Day : Take profits at 1.0x extension, watch for reversal • Rotation Day : Fade the breakout immediately (likely false) Knowing day type prevents catastrophic errors like fading a trend day or holding through rotation. 🚀 BREAKOUT DETECTION & CONFIRMATION Three Confirmation Methods: 1. Close Beyond Level (Recommended): Logic: Candle must close above ORB high (bull) or below ORB low (bear). Why: • Filters out wicks (temporary liquidity grabs) • Ensures sustained acceptance above/below range • Reduces false breakout rate by ~20-30% Example: • ORB High: 5850.00 • Bar high touches 5850.50 (wick above) • Bar closes at 5848.00 (inside range) • Result: NO breakout signal vs. • Bar high touches 5850.50 • Bar closes at 5851.00 (outside range) • Result: BREAKOUT signal confirmed Trade-off: Slightly delayed entry (wait for close) but much higher reliability. 2. Wick Beyond Level: Logic: [/b> Any touch of ORB high/low triggers breakout. Why: • Earliest possible entry • Captures aggressive momentum moves Risk: • High false breakout rate (60-70%) • Stop runs trigger signals • Requires very tight stops (difficult to manage) Use Case: Scalping with 1-2 point profit targets where any penetration = trade. 3. Body Beyond Level: Logic: [/b> Candle body (close vs open) must be entirely outside range. Why: • Strictest confirmation • Ensures directional conviction (not just momentum) • Lowest false breakout rate Example: Trade-off: [/b> Very conservative—misses some valid breakouts but rarely triggers on false ones. Volume Confirmation Layer: All confirmation methods can require volume validation: Volume Multiplier Logic: Rationale: [/b> True breakouts are driven by institutional activity (large size). Volume spike confirms real conviction vs. stop-run manipulation. Statistical Impact: [/b> • Breakouts with volume confirmation: ~65% success rate • Breakouts without volume: ~45% success rate • Difference: 20 percentage points edge Implementation Note: [/b> Volume confirmation adds complexity—you'll miss breakouts that work but lack volume. However, when targeting 1.5x+ extensions (ambitious goals), volume confirmation becomes critical because those moves require sustained institutional participation. Recommended Settings by Strategy: [/b> Scalping (1-2 point targets): [/b> • Method: Close • Volume: OFF • Rationale: Quick in/out doesn't need perfection Intraday Swing (5-10 point targets): [/b> • Method: Close • Volume: ON (1.5x multiplier) • Rationale: Balance reliability and opportunity Position Trading (full-day holds): [/b> • Method: Body • Volume: ON (2.0x multiplier) • Rationale: Must be certain—large stops require high win rate 🔥 FAILED BREAKOUT SYSTEM The Core Insight: [/b> Failed breakouts are often more profitable [/b> than successful breakouts because they create trapped traders with predictable behavior. Failed Breakout Definition: [/b> A breakout that: 1. Initially penetrates ORB level with confirmation 2. Attracts participants (volume spike, momentum) 3. Fails to extend (stalls or immediately reverses) 4. Returns inside ORB range within N bars Psychology of Failure: [/b> When breakout fails: • Breakout buyers are trapped [/b>: Bought at ORB high, now underwater • Early longs reduce: Take profit, fearful of reversal • Shorts smell blood: See failed breakout as reversal signal • Result: Cascade of selling as trapped bulls exit + new shorts enter Mirror image for failed bearish breakouts (trapped shorts cover + new longs enter). Failure Detection Parameters: [/b> 1. Failure Confirmation Bars (default: 3): [/b> How many bars after breakout to confirm failure? Logic: Settings: [/b> • 2 bars: Aggressive failure detection (more signals, more false failures) • 3 bars Balanced (default) • 5-10 bars: Conservative (wait for clear reversal) Why This Matters: Too few bars: You call "failed breakout" when price is just consolidating before next leg. Too many bars: You miss the reversal entry (price already back in range). 2. Failure Buffer (default: 0.1 ATR): [/b> How far inside ORB must price return to confirm failure? Formula: Why Buffer Matters: clear rejection [/b> (not just hovering at level). Settings: [/b> • 0.0 ATR: No buffer, immediate failure signal • 0.1 ATR: Small buffer (default) - filters noise • [b>0.2-0.3 ATR: Large buffer - only dramatic failures count Example: Reversal Entry System: [/b> When failure confirmed, system generates complete reversal trade: For Failed Bull Breakout (Short Reversal): [/b> Entry: [/b> Current close when failure confirmed Stop Loss: [/b> Extreme high since breakout + 0.10 ATR padding Target 1: [/b> ORB High - (ORB Range × 0.5) Target 2: Target 3: [/b> ORB High - (ORB Range × 1.5) Example: • ORB High: 5850, ORB Low: 5842, Range: 8 points • Breakout to 5853, fails, reverses to 5848 (entry) • Stop: 5853 + 1 = 5854 (6 point risk) • T1: 5850 - 4 = 5846 (-2 points, 1:3 R:R) • T2: 5850 - 8 = 5842 (-6 points, 1:1 R:R) • T3: 5850 - 12 = 5838 (-10 points, 1.67:1 R:R) [b>Why These Targets? [/b> • T1 (0.5x ORB below high): Trapped bulls start panic • T2 (1.0x ORB = ORB Mid): Major retracement, momentum fully reversed • T3 (1.5x ORB): Reversal extended, now targeting opposite side Historical Performance: [/b> Failed breakout reversals in ORB Fusion's tracking system show: • Win Rate: 65-75% (significantly higher than initial breakouts) • Average Winner: 1.2x ORB range • Average Loser: 0.5x ORB range (protected by stop at extreme) • Expectancy: Strongly positive even with <70% win rate Why Failed Breakouts Outperform: [/b> 1. Information Advantage: You now know what price did (failed to extend). Initial breakout trades are speculative; reversal trades are reactive to confirmed failure. 2. Trapped Participant Pressure: Every trapped bull becomes a seller. This creates sustained pressure. 3. Stop Loss Clarity: Extreme high is obvious stop (just beyond recent high). Breakout trades have ambiguous stops (ORB mid? Recent low? Too wide or too tight). 4. Mean Reversion Edge: Failed breakouts return to value (ORB mid). Initial breakouts try to escape value (harder to sustain). Critical Insight: [/b> "The best trade is often the one that trapped everyone else." Failed breakouts create asymmetric opportunity because you're trading against [/b> trapped participants rather than with [/b> them. When you see a failed breakout signal, you're seeing real-time evidence that the market rejected directional conviction—that's exploitable. 📐 FIBONACCI EXTENSION SYSTEM Six Extension Levels: [/b> Extensions project how far price will travel after ORB breakout. Based on Fibonacci ratios + empirical market behavior. 1. 1.272x (27.2% Extension): [/b> Formula: [/b> ORB High/Low + (ORB Range × 0.272) Psychology: [/b> Initial probe beyond ORB. Early momentum + trapped shorts (on bull side) covering. Probability of Reach: [/b> ~75-80% after confirmed breakout Trading: [/b> • First resistance/support after breakout • Partial profit target (take 30-50% off) • Watch for rejection here (could signal failure in progress) Why 1.272? [/b> Related to harmonic patterns (1.272 is √1.618). Empirically, markets often stall at 25-30% extension before deciding whether to continue or fail. 2. 1.5x (50% Extension): Formula: [/b> ORB High/Low + (ORB Range × 0.5) Psychology: [/b> Breakout gaining conviction. Requires sustained buying/selling (not just momentum spike). Probability of Reach: [/b> ~60-65% after confirmed breakout Trading: [/b> • Major partial profit (take 50-70% off) • Move stops to breakeven • Trail remaining position Why 1.5x? [/b> Classic halfway point to 2.0x. Markets often consolidate here before final push. If day type is "Normal," this is likely the high/low for the day. 3. 1.618x (Golden Ratio Extension): [/b> Formula: [/b> ORB High/Low + (ORB Range × 0.618) Psychology: [/b> Strong directional day. Institutional conviction + retail FOMO. Probability of Reach: [/b> ~45-50% after confirmed breakout Trading: [/b> • Final partial profit (close 80-90%) • Trail remainder with wide stop (allow breathing room) Why 1.618? [/b> Fibonacci golden ratio. Appears consistently in market geometry. When price reaches 1.618x extension, move is "mature" and reversal risk increases. 4. 2.0x (100% Extension): [/b> Formula: ORB High/Low + (ORB Range × 1.0) Psychology: [/b> Trend day confirmed. Opening range completely duplicated. Probability of Reach: [/b> ~30-35% after confirmed breakout Trading: Why 2.0x? [/b> Psychological level—range doubled. Also corresponds to typical daily ATR in many instruments (opening range ~ 0.5 ATR, daily range ~ 1.0 ATR). 5. 2.618x (Super Extension): Formula: [/b> ORB High/Low + (ORB Range × 1.618) Psychology: [/b> Parabolic move. News-driven or squeeze. Probability of Reach: [/b> ~10-15% after confirmed breakout [b>Trading: Why 2.618? [/b> Fibonacci ratio (1.618²). Rare to reach—when it does, move is extreme. Often precedes multi-day consolidation or reversal. 6. 3.0x (Extreme Extension): [/b> Formula: [/b> ORB High/Low + (ORB Range × 2.0) Psychology: [/b> Market melt-up/crash. Only in extreme events. [b>Probability of Reach: [/b> <5% after confirmed breakout Trading: [/b> • Close immediately if reached • These are outlier events (black swans, flash crashes, squeeze-outs) • Holding for more is greed—take windfall profit Why 3.0x? [/b> Triple opening range. So rare it's statistical noise. When it happens, it's headline news. Visual Example: ES futures, ORB 5842-5850 (8 point range), Bullish breakout: • ORB High : 5850.00 (entry zone) • 1.272x : 5850 + 2.18 = 5852.18 (first resistance) • 1.5x : 5850 + 4.00 = 5854.00 (major target) • 1.618x : 5850 + 4.94 = 5854.94 (strong target) • 2.0x : 5850 + 8.00 = 5858.00 (trend day) • 2.618x : 5850 + 12.94 = 5862.94 (extreme) • 3.0x : 5850 + 16.00 = 5866.00 (parabolic) Profit-Taking Strategy: Optimal scaling out at extensions: • Breakout entry at 5850.50 • 30% off at 1.272x (5852.18) → +1.68 points • 40% off at 1.5x (5854.00) → +3.50 points • 20% off at 1.618x (5854.94) → +4.44 points • 10% off at 2.0x (5858.00) → +7.50 points [b>Average Exit: Conclusion: [/b> Scaling out at extensions produces 40% higher expectancy than holding for home runs. 📊 GAP ANALYSIS & FILL PSYCHOLOGY [b>Gap Definition: [/b> Price discontinuity between previous close and current open: • Gap Up : Open > Previous Close + noise threshold (0.1 ATR) • Gap Down : Open < Previous Close - noise threshold Why Gaps Matter: [/b> Gaps represent unfilled orders [/b>. When market gaps up, all limit buy orders between yesterday's close and today's open are never filled. Those buyers are "left behind." Psychology: they wait for price to return ("fill the gap") so they can enter. This creates magnetic pull [/b> toward gap level. Gap Fill Statistics (Empirical): [/b> • Gaps <0.5% [/b>: 85-90% fill within same day • Gaps 0.5-1.0% [/b>: 70-75% fill within same day, 90%+ within week • Gaps >1.0% [/b>: 50-60% fill within same day (major news often prevents fill) Gap Fill Strategy: [/b> Setup 1: Gap-and-Go Gap opens, extends away from gap (doesn't fill). • ORB confirms direction away from gap • Trade WITH ORB breakout direction • Expectation: Gap won't fill today (momentum too strong) Setup 2: Gap-Fill Fade Gap opens, but fails to extend. Price drifts back toward gap. • ORB breakout TOWARD gap (not away) • Trade toward gap fill level • Target: Previous close (gap fill complete) Setup 3: Gap-Fill Rejection Gap fills (touches previous close) then rejects. • ORB breakout AWAY from gap after fill • Trade away from gap direction • Thesis: Gap filled (orders executed), now resume original direction [b>Example: Scenario A (Gap-and-Go): • ORB breaks upward to $454 (away from gap) • Trade: LONG breakout, expect continued rally • Gap becomes support ($452) Scenario B (Gap-Fill): • ORB breaks downward through $452.50 (toward gap) • Trade: SHORT toward gap fill at $450.00 • Target: $450.00 (gap filled), close position Scenario C (Gap-Fill Rejection): • Price drifts to $450.00 (gap filled) early in session • ORB establishes $450-$451 after gap fill • ORB breaks upward to $451.50 • Trade: LONG breakout (gap is filled, now resume rally) ORB Fusion Integration: [/b> Dashboard shows: • Gap type (Up/Down/None) • Gap size (percentage) • Gap fill status (Filled ✓ / Open) This informs setup confidence: • ORB breakout AWAY from unfilled gap: +10% confidence (gap becomes support/resistance) • ORB breakout TOWARD unfilled gap: -10% confidence (gap fill may override ORB) [b>📈 VWAP & INSTITUTIONAL BIAS [/b> [b>Volume-Weighted Average Price (VWAP): [/b> Average price weighted by volume at each price level. Represents true "average" cost for the day. [b>Calculation: Institutional Benchmark [/b>: Institutions (mutual funds, pension funds) use VWAP as performance benchmark. If they buy above VWAP, they underperformed; below VWAP, they outperformed. 2. [b>Algorithmic Target [/b>: Many algos are programmed to buy below VWAP and sell above VWAP to achieve "fair" execution. 3. [b>Support/Resistance [/b>: VWAP acts as dynamic support (price above) or resistance (price below). [b>VWAP Bands (Standard Deviations): [/b> • [b>1σ Band [/b>: VWAP ± 1 standard deviation - Contains ~68% of volume - Normal trading range - Bounces common • [b>2σ Band [/b>: VWAP ± 2 standard deviations - Contains ~95% of volume - Extreme extension - Mean reversion likely ORB + VWAP Confluence: [/b> Highest-probability setups occur when ORB and VWAP align: Bullish Confluence: [/b> • ORB breakout upward (bullish signal) • Price above VWAP (institutional buying) • Confidence boost: +15% Bearish Confluence: [/b> • ORB breakout downward (bearish signal) • Price below VWAP (institutional selling) • Confidence boost: +15% [b>Divergence Warning: • ORB breakout upward BUT price below VWAP • Conflict: Breakout says "buy," VWAP says "sell" • Confidence penalty: -10% • Interpretation: Retail buying but institutions not participating (lower quality breakout) 📊 MOMENTUM CONTEXT SYSTEM [b>Innovation: Candle Coloring by Position Rather than fixed support/resistance lines, ORB Fusion colors candles based on their [b>relationship to ORB : [b>Three Zones: [/b> 1. Inside ORB (Blue Boxes): [/b> [b>Calculation: • Darker blue: Near extremes of ORB (potential breakout imminent) • Lighter blue: Near ORB mid (consolidation) [b>Trading: [/b> Coiled spring—await breakout. [b>2. Above ORB (Green Boxes): [b>Calculation: 3. Below ORB (Red Boxes): Mirror of above ORB logic. [b>Special Contexts: [/b> [b>Breakout Bar (Darkest Green/Red): [/b> The specific bar where breakout occurs gets maximum color intensity regardless of distance. This highlights the pivotal moment. [b>Failed Breakout Bar (Orange/Warning): [/b> When failed breakout is confirmed, that bar gets orange/warning color. Visual alert: "reversal opportunity here." [b>Near Extension (Cyan/Magenta Tint): [/b> When price is within 0.5 ATR of an extension level, candle gets tinted cyan (bull) or magenta (bear). Indicates "target approaching—prepare to take profit." [b>Why Visual Context? [/b> Traditional indicators show lines. ORB Fusion shows [b>context-aware momentum [/b>. Glance at chart: • Lots of blue? Consolidation day (fade extremes). • Progressive green? Trend day (follow). • Green then orange? Failed breakout (reversal setup). This visual language communicates market state instantly—no interpretation needed. 🎯 TRADE SETUP GENERATION & GRADING [/b> [b>Algorithmic Setup Detection: [/b> ORB Fusion continuously evaluates market state and generates current best trade setup with: • Action (LONG / SHORT / FADE HIGH / FADE LOW / WAIT) • Entry price • Stop loss • Three targets • Risk:Reward ratio • Confidence score (0-100) • Grade (A+ to D) [b>Setup Types: [/b> [b>1. ORB LONG (Bullish Breakout): [/b> [b>Trigger: [/b> • Bullish ORB breakout confirmed • Not failed [b>Parameters: • Entry: Current close • Stop: ORB mid (protects against failure) • T1: ORB High + 0.5x range (1.5x extension) • T2: ORB High + 1.0x range (2.0x extension) • T3: ORB High + 1.618x range (2.618x extension) [b>Confidence Scoring: [b>Trigger: [/b> • Bearish breakout occurred • Failed (returned inside ORB) [b>Parameters: [/b> • Entry: Close when failure confirmed • Stop: Extreme low since breakout + 0.10 ATR • T1: ORB Low + 0.5x range • T2: ORB Low + 1.0x range (ORB mid) • T3: ORB Low + 1.5x range [b>Confidence Scoring: [b>Trigger: • Inside ORB • Close > ORB mid (near high) [b>Parameters: [/b> • Entry: ORB High (limit order) • Stop: ORB High + 0.2x range • T1: ORB Mid • T2: ORB Low [b>Confidence Scoring: [/b> Base: 40 points (lower base—range fading is lower probability than breakout/reversal) [b>Use Case: [/b> Rotation days. Not recommended on normal/trend days. [b>6. FADE LOW (Range Trade): Mirror of FADE HIGH. [b>7. WAIT: [b>Trigger: [/b> • ORB not complete yet OR • No clear setup (price in no-man's-land) [b>Action: [/b> Observe, don't trade. [b>Confidence: [/b> 0 points [b>Grading System: ``` Confidence → Grade 85-100 → A+ 75-84 → A 65-74 → B+ 55-64 → B 45-54 → C 0-44 → D ``` [b>Grade Interpretation: [/b> • [b>A+ / A: High probability setup. Take these trades. • [b>B+ / B [/b>: Decent setup. Trade if fits system rules. • [b>C [/b>: Marginal setup. Only if very experienced. • [b>D [/b>: Poor setup or no setup. Don't trade. [b>Example Scenario: [/b> ES futures: • ORB: 5842-5850 (8 point range) • Bullish breakout to 5851 confirmed • Volume: 2.0x average (confirmed) • VWAP: 5845 (price above VWAP ✓) • Day type: Developing (too early, no bonus) • Gap: None [b>Setup: [/b> • Action: LONG • Entry: 5851 • Stop: 5846 (ORB mid, -5 point risk) • T1: 5854 (+3 points, 1:0.6 R:R) • T2: 5858 (+7 points, 1:1.4 R:R) • T3: 5862.94 (+11.94 points, 1:2.4 R:R) [b>Confidence: LONG with 55% confidence. Interpretation: Solid setup, not perfect. Trade it if your system allows B-grade signals. [b>📊 STATISTICS TRACKING & PERFORMANCE ANALYSIS [/b> [b>Real-Time Performance Metrics: [/b> ORB Fusion tracks comprehensive statistics over user-defined lookback (default 50 days): [b>Breakout Performance: [/b> • [b>Bull Breakouts: [/b> Total count, wins, losses, win rate • [b>Bear Breakouts: [/b> Total count, wins, losses, win rate [b>Win Definition: [/b> Breakout reaches ≥1.0x extension (doubles the opening range) before end of day. [b>Example: [/b> • ORB: 5842-5850 (8 points) • Bull breakout at 5851 • Reaches 5858 (1.0x extension) by close • Result: WIN [b>Failed Breakout Performance: [/b> • [b>Total Failed Breakouts [/b>: Count of breakouts that failed • [b>Reversal Wins [/b>: Count where reversal trade reached target • [b>Failed Reversal Win Rate [/b>: Wins / Total Failed [b>Win Definition for Reversals: [/b> • Failed bull → reversal short reaches ORB mid • Failed bear → reversal long reaches ORB mid [b>Extension Tracking: [/b> • [b>Average Extension Reached [/b>: Mean of maximum extension achieved across all breakout days • [b>Max Extension Overall [/b>: Largest extension ever achieved in lookback period [b>Example: 🎨 THREE DISPLAY MODES [b>Design Philosophy: [/b> Not all traders need all features. Beginners want simplicity. Professionals want everything. ORB Fusion adapts. [b>SIMPLE MODE: [/b> [b>Shows: [/b> • Primary ORB levels (High, Mid, Low) • ORB box • Breakout signals (triangles) • Failed breakout signals (crosses) • Basic dashboard (ORB status, breakout status, setup) • VWAP [b>Hides: [/b> • Session ORBs (Asian, London, NY) • IB levels and extensions • ORB extensions beyond basic levels • Gap analysis visuals • Statistics dashboard • Momentum candle coloring • Narrative dashboard [b>Use Case: [/b> • Traders who want clean chart • Focus on core ORB concept only • Mobile trading (less screen space) [b>STANDARD MODE: [b>Shows Everything in Simple Plus: [/b> • Session ORBs (Asian, London, NY) • IB levels (high, low, mid) • IB extensions • ORB extensions (1.272x, 1.5x, 1.618x, 2.0x) • Gap analysis and fill targets • VWAP bands (1σ and 2σ) • Momentum candle coloring • Context section in dashboard • Narrative dashboard [b>Hides: [/b> • Advanced extensions (2.618x, 3.0x) • Detailed statistics dashboard [b>Use Case: [/b> • Most traders • Balance between information and clarity • Covers 90% of use cases [b>ADVANCED MODE: [b>Shows Everything: • All session ORBs • All IB levels and extensions • All ORB extensions (including 2.618x and 3.0x) • Full gap analysis • VWAP with both 1σ and 2σ bands • Momentum candle coloring • Complete statistics dashboard • Narrative dashboard • All context metrics [b>Use Case: [/b> • Professional traders • System developers • Those who want maximum information density [b>Switching Modes: [/b> Single dropdown input: "Display Mode" → Simple / Standard / Advanced Entire indicator adapts instantly. No need to toggle 20 individual settings. 📖 NARRATIVE DASHBOARD [b>Innovation: Plain-English Market State [/b> Most indicators show data. ORB Fusion explains what the data [b>means [/b>. [b>Narrative Components: [/b> [b>1. Phase: [/b> • "📍 Building ORB..." (during ORB session) • "📊 Trading Phase" (after ORB complete) • "⏳ Pre-Market" (before ORB session) [b>2. Status (Current Observation): [/b> • "⚠️ Failed breakout - reversal likely" • "🚀 Bullish momentum in play" • "📉 Bearish momentum in play" • "⚖️ Consolidating in range" • "👀 Monitoring for setup" [b>3. Next Level: Tells you what to watch for: • "🎯 1.5x @ 5854.00" (next extension target) • "Watch ORB levels" (inside range, await breakout) [b>4. Setup: [/b> Current trade setup + grade: • "LONG " (bullish breakout, A-grade) • "🔥 SHORT REVERSAL " (failed bull breakout, A+-grade) • "WAIT " (no setup) [b>5. Reason: [/b> Why this setup exists: • "ORB Bullish Breakout" • "Failed Bear Breakout - High Probability Reversal" • "Range Fade - Near High" [b>6. Tip (Market Insight): Contextual advice: • "🔥 TREND DAY - Trail stops" (day type is trending) • "🔄 ROTATION - Fade extremes" (day type is rotating) • "📊 Gap unfilled - magnet level" (gap creates target) • "📈 Normal conditions" (no special context) [b>Example Narrative: ``` 📖 ORB Narrative ━━━━━━━━━━━━━━━━ Phase | 📊 Trading Phase Status | 🚀 Bullish momentum in play Next | 🎯 1.5x @ 5854.00 📈 Setup | LONG Reason | ORB Bullish Breakout 💡 Tip | 🔥 TREND DAY - Trail stops ``` [b>Glance Interpretation: [/b> "We're in trading phase. Bullish breakout happened (momentum in play). Next target is 1.5x extension at 5854. Current setup is LONG with A-grade. It's a trend day, so trail stops (don't take early profits)." Complete market state communicated in 6 lines. No interpretation needed. [b>Why This Matters: Beginner traders struggle with "So what?" question. Indicators show lines and signals, but what does it mean [/b>? Narrative dashboard bridges this gap. Professional traders benefit too—rapid context assessment during fast-moving markets. No time to analyze; glance at narrative, get action plan. 🔔 INTELLIGENT ALERT SYSTEM [b>Four Alert Types: [/b> [b>1. Breakout Alert: [/b> [b>Trigger: [/b> ORB breakout confirmed (bull or bear) [b>Message: [/b> ``` 🚀 ORB BULLISH BREAKOUT Price: 5851.00 Volume Confirmed Grade: A ``` [b>Frequency: [/b> Once per bar (prevents spam) [b>2. Failed Breakout Alert: [/b> [b>Trigger: [/b> Breakout fails, reversal setup generated [b>Message: [/b> ``` 🔥 FAILED BULLISH BREAKOUT! HIGH PROBABILITY SHORT REVERSAL Entry: 5848.00 Stop: 5854.00 T1: 5846.00 T2: 5842.00 Historical Win Rate: 73% ``` [b>Why Comprehensive? [/b> Failed breakout alerts include complete trade plan. You can execute immediately from alert—no need to check chart. [b>3. Extension Alert: [b>Trigger: [/b> Price reaches extension level for first time [b>Message: [/b> ``` 🎯 Bull Extension 1.5x reached @ 5854.00 ``` [b>Use: [/b> Profit-taking reminder. When extension hit, consider scaling out. [b>4. IB Break Alert: [/b> [b>Trigger: [/b> Price breaks above IB high or below IB low [b>Message: [/b> ``` 📊 IB HIGH BROKEN - Potential Trend Day ``` [b>Use: [/b> Day type classification. IB break suggests trend day developing—adjust strategy to trend-following mode. [b>Alert Management: [/b> Each alert type can be enabled/disabled independently. Prevents notification overload. [b>Cooldown Logic: [/b> Alerts won't fire if same alert type triggered within last bar. Prevents: • "Breakout" alert every tick during choppy breakout • Multiple "extension" alerts if price oscillates at level Ensures: One clean alert per event. ⚙️ KEY PARAMETERS EXPLAINED [b>Opening Range Settings: [/b> • [b>ORB Timeframe [/b> (5/15/30/60 min): Duration of opening range window - 30 min recommended for most traders • [b>Use RTH Only [/b> (ON/OFF): Only trade during regular trading hours - ON recommended (avoids thin overnight markets) • [b>Use LTF Precision [/b> (ON/OFF): Sample 1-minute bars for accuracy - ON recommended (critical for charts >1 minute) • [b>Precision TF [/b> (1/5 min): Timeframe for LTF sampling - 1 min recommended (most accurate) [b>Session ORBs: [/b> • [b>Show Asian/London/NY ORB [/b> (ON/OFF): Display multi-session ranges - OFF in Simple mode - ON in Standard/Advanced if trading 24hr markets • [b>Session Windows [/b>: Time ranges for each session ORB - Defaults align with major session opens [b>Initial Balance: [/b> • [b>Show IB [/b> (ON/OFF): Display Initial Balance levels - ON recommended for day type classification • [b>IB Session Window [/b> (0930-1030): First hour of trading - Default is standard for US equities • [b>Show IB Extensions [/b> (ON/OFF): Project IB extension targets - ON recommended (identifies trend days) • [b>IB Extensions 1-4 [/b> (0.5x, 1.0x, 1.5x, 2.0x): Extension multipliers - Defaults are Market Profile standard [b>ORB Extensions: [/b> • [b>Show Extensions [/b> (ON/OFF): Project ORB extension targets - ON recommended (defines profit targets) • [b>Enable Individual Extensions [/b> (1.272x, 1.5x, 1.618x, 2.0x, 2.618x, 3.0x) - Enable 1.272x, 1.5x, 1.618x, 2.0x minimum - Disable 2.618x and 3.0x unless trading very volatile instruments [b>Breakout Detection: • [b>Confirmation Method [/b> (Close/Wick/Body): - Close recommended (best balance) - Wick for scalping - Body for conservative • [b>Require Volume Confirmation [/b> (ON/OFF): - ON recommended (increases reliability) • [b>Volume Multiplier [/b> (1.0-3.0): - 1.5x recommended - Lower for thin instruments - Higher for heavy volume instruments [b>Failed Breakout System: [/b> • [b>Enable Failed Breakouts [/b> (ON/OFF): - ON strongly recommended (highest edge) • [b>Bars to Confirm Failure [/b> (2-10): - 3 bars recommended - 2 for aggressive (more signals, more false failures) - 5+ for conservative (fewer signals, higher quality) • [b>Failure Buffer [/b> (0.0-0.5 ATR): - 0.1 ATR recommended - Filters noise during consolidation near ORB level • [b>Show Reversal Targets [/b> (ON/OFF): - ON recommended (visualizes trade plan) • [b>Reversal Target Mults [/b> (0.5x, 1.0x, 1.5x): - Defaults are tested values - Adjust based on average daily range [b>Gap Analysis: • [b>Show Gap Analysis [/b> (ON/OFF): - ON if trading instruments that gap frequently - OFF for 24hr markets (forex, crypto—no gaps) • [b>Gap Fill Target [/b> (ON/OFF): - ON to visualize previous close (gap fill level) [b>VWAP: • [b>Show VWAP [/b> (ON/OFF): - ON recommended (key institutional level) • [b>Show VWAP Bands [/b> (ON/OFF): - ON in Standard/Advanced - OFF in Simple • [b>Band Multipliers (1.0σ, 2.0σ): - Defaults are standard - 1σ = normal range, 2σ = extreme [b>Day Type: [/b> • [b>Show Day Type Analysis [/b> (ON/OFF): - ON recommended (critical for strategy adaptation) • [b>Trend Day Threshold [/b> (1.0-2.5 IB mult): - 1.5x recommended - When price extends >1.5x IB, classifies as Trend Day [b>Enhanced Visuals: • [b>Show Momentum Candles [/b> (ON/OFF): - ON for visual context - OFF if chart gets too colorful • [b>Show Gradient Zone Fills [/b> (ON/OFF): - ON for professional look - OFF for minimalist chart • [b>Label Display Mode [/b> (All/Adaptive/Minimal): - Adaptive recommended (shows nearby labels only) - All for information density - Minimal for clean chart • [b>Label Proximity [/b> (1.0-5.0 ATR): - 3.0 ATR recommended - Labels beyond this distance are hidden (Adaptive mode) [b>🎓 PROFESSIONAL USAGE PROTOCOL [/b> [b>Phase 1: Learning the System (Week 1) [/b> [b>Goal: [/b> Understand ORB concepts and dashboard interpretation [b>Setup: [/b> • Display Mode: STANDARD • ORB Timeframe: 30 minutes • Enable ALL features (IB, extensions, failed breakouts, VWAP, gap analysis) • Enable statistics tracking [b>Actions: [/b> • Paper trade ONLY—no real money • Observe ORB formation every day (9:30-10:00 AM ET for US markets) • Note when ORB breakouts occur and if they extend • Note when breakouts fail and reversals happen • Watch day type classification evolve during session • Track statistics—which setups are working? [b>Key Learning: [/b> • How often do breakouts reach 1.5x extension? (typically 50-60% of confirmed breakouts) • How often do breakouts fail? (typically 30-40%) • Which setup grade (A/B/C) actually performs best? (should see A-grade outperforming) • What day type produces best results? (trend days favor breakouts, rotation days favor fades) [b>Phase 2: Parameter Optimization (Week 2) [/b> [b>Goal: [/b> Tune system to your instrument and timeframe [b>ORB Timeframe Selection: • Run 5 days with 15-minute ORB • Run 5 days with 30-minute ORB • Compare: Which captures better breakouts on your instrument? • Typically: 30-minute optimal for most, 15-minute for very liquid (ES, SPY) [b>Volume Confirmation Testing: • Run 5 days WITH volume confirmation • Run 5 days WITHOUT volume confirmation • Compare: Does volume confirmation increase win rate? • If win rate improves by >5%: Keep volume confirmation ON • If no improvement: Turn OFF (avoid missing valid breakouts) [b>Failed Breakout Bars: [b>Goal: [/b> Develop personal trading rules based on system signals [b>Setup Selection Rules: [/b> Define which setups you'll trade: • [b>Conservative: [/b> Only A+ and A grades • [b>Balanced: [/b> A+, A, B+ grades • [b>Aggressive: [/b> All grades B and above Test each approach for 5-10 trades, compare results. [b>Position Sizing by Grade: [/b> Consider risk-weighting by setup quality: • A+ grade: 100% position size • A grade: 75% position size • B+ grade: 50% position size • B grade: 25% position size Example: If max risk is $1000/trade: • A+ setup: Risk $1000 • A setup: Risk $750 • B+ setup: Risk $500 This matches bet sizing to edge. [b>Day Type Adaptation: [/b> Create rules for different day types: Trend Days: • Take ALL breakout signals (A/B/C grades) • Hold for 2.0x extension minimum • Trail stops aggressively (1.0 ATR trail) • DON'T fade—reversals unlikely Rotation Days: • ONLY take failed breakout reversals • Ignore initial breakout signals (likely to fail) • Take profits quickly (0.5x extension) • Focus on fade setups (Fade High/Fade Low) Normal Days: • Take A/A+ breakout signals only • Take ALL failed breakout reversals (high probability) • Target 1.0-1.5x extensions • Partial profit-taking at extensions Time-of-Day Rules: [/b> Breakouts at different times have different probabilities: 10:00-10:30 AM (Early Breakout): • ORB just completed • Fresh breakout • Probability: Moderate (50-55% reach 1.0x) • Strategy: Conservative position sizing 10:30-12:00 PM (Mid-Morning): • Momentum established • Volume still healthy • Probability: High (60-65% reach 1.0x) • Strategy: Standard position sizing 12:00-2:00 PM (Lunch Doldrums): • Volume dries up • Whipsaw risk increases • Probability: Low (40-45% reach 1.0x) • Strategy: Avoid new entries OR reduce size 50% 2:00-4:00 PM (Afternoon Session): • Late-day positioning • EOD squeezes possible • Probability: Moderate-High (55-60%) • Strategy: Watch for IB break—if trending all day, follow [b>Phase 4: Live Micro-Sizing (Month 2) [/b> [b>Goal: [/b> Validate paper trading results with minimal risk [b>Setup: [/b> • 10-20% of intended full position size • Take ONLY A+ and A grade setups • Follow stop loss and targets religiously [b>Execution: [/b> • Execute from alerts OR from dashboard setup box • Entry: Close of signal bar OR next bar market order • Stop: Use exact stop from setup (don't widen) • Targets: Scale out at T1/T2/T3 as indicated [b>Tracking: [/b> • Log every trade: Entry, Exit, Grade, Outcome, Day Type • Calculate: Win rate, Average R-multiple, Max consecutive losses • Compare to paper trading results (should be within 15%) [b>Red Flags: [/b> • Win rate <45%: System not suitable for this instrument/timeframe • Major divergence from paper trading: Execution issues (slippage, late entries, emotional exits) • Max consecutive losses >8: Hitting rough patch OR market regime changed [b>Phase 5: Scaling Up (Months 3-6) [b>Goal: [/b> Gradually increase to full position size [b>Progression: [/b> • Month 3: 25-40% size (if micro-sizing profitable) • Month 4: 40-60% size • Month 5: 60-80% size • Month 6: 80-100% size [b>Milestones Required to Scale Up: [/b> • Minimum 30 trades at current size • Win rate ≥48% • Profit factor ≥1.2 • Max drawdown <20% • Emotional control (no revenge trading, no FOMO) [b>Advanced Techniques: [b>Multi-Timeframe ORB: Assumes first 30-60 minutes establish value. Violation: Market opens after major news, price discovery continues for hours (opening range meaningless). 2. [b>Volume Indicates Conviction: ES, NQ, RTY, SPY, QQQ—high liquidity, clean ORB formation, reliable extensions • [b>Large-Cap Stocks: AAPL, MSFT, TSLA, NVDA (>$5B market cap, >5M daily volume) • [b>Liquid Futures: CL (crude oil), GC (gold), 6E (EUR/USD), ZB (bonds)—24hr markets benefit from session ORBs • [b>Major Forex Pairs: [/b> EUR/USD, GBP/USD, USD/JPY—London/NY session ORBs work well [b>Performs Poorly On: [/b> • [b>Illiquid Stocks: <$1M daily volume, wide spreads, gappy price action • [b>Penny Stocks: [/b> Manipulated, pump-and-dump, no real price discovery • [b>Low-Volume ETFs: Exotic sector ETFs, leveraged products with thin volume • [b>Crypto on Sketchy Exchanges: Wash trading, spoofing invalidates volume analysis • [b>Earnings Days: [/b> ORB completes before earnings release, then completely resets (useless) • Binary Event Days: FDA approvals, court rulings—discontinuous price action [b>Known Weaknesses: [/b> • [b>Slow Starts: ORB doesn't complete until 10:00 AM (30-min ORB). Early morning traders have no signals for 30 minutes. Consider using 15-minute ORB if this is problematic. • [b>Failure Detection Lag: [/b> Failed breakout requires 3+ bars to confirm. By the time system signals reversal, price may have already moved significantly back inside range. Manual traders watching in real-time can enter earlier. • [b>Extension Overshoot: [/b> System projects extensions mathematically (1.5x, 2.0x, etc.). Actual moves may stop short (1.3x) or overshoot (2.2x). Extensions are targets, not magnets. • [b>Day Type Misclassification: [/b> Early in session, day type is "Developing." By the time it's classified definitively (often 11:00 AM+), half the day is over. Strategy adjustments happen late. • [b>Gap Assumptions: [/b> System assumes gaps want to fill. Strong trend days never fill gaps (gap becomes support/resistance forever). Blindly trading toward gaps can backfire on trend days. • [b>Volume Data Quality: Forex doesn't have centralized volume (uses tick volume as proxy—less reliable). Crypto volume is often fake (wash trading). Volume confirmation less effective on these instruments. • [b>Multi-Session Complexity: [/b> When using Asian/London/NY ORBs simultaneously, chart becomes cluttered. Requires discipline to focus on relevant session for current time. [b>Risk Factors: [/b> • [b>Opening Gaps: Large gaps (>2%) can create distorted ORBs. Opening range might be unusually wide or narrow, making extensions unreliable. • [b>Low Volatility Environments:[/b> When VIX <12, opening ranges can be tiny (0.2-0.3%). Extensions are equally tiny. Profit targets don't justify commission/slippage. • [b>High Volatility Environments:[/b> When VIX >30, opening ranges are huge (2-3%+). Extensions project unrealistic targets. Failed breakouts happen faster (volatility whipsaw). • [b>Algorithm Dominance:[/b> In heavily algorithmic markets (ES during overnight session), ORB levels can be manipulated—algos pin price to ORB high/low intentionally. Breakouts become stop-runs rather than genuine directional moves. [b>⚠️ RISK DISCLOSURE[/b> Trading futures, stocks, options, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Opening Range Breakout strategies, while based on sound market structure principles, do not guarantee profits and can result in significant losses. The ORB Fusion indicator implements professional trading concepts including Opening Range theory, Market Profile Initial Balance analysis, Fibonacci extensions, and failed breakout reversal logic. These methodologies have theoretical foundations but past performance—whether backtested or live—is not indicative of future results. Opening Range theory assumes the first 30-60 minutes of trading establish a meaningful value area and that breakouts from this range signal directional conviction. This assumption may not hold during: • Major news events (FOMC, NFP, earnings surprises) • Market structure changes (circuit breakers, trading halts) • Low liquidity periods (holidays, early closures) • Algorithmic manipulation or spoofing Failed breakout detection relies on patterns of trapped participant behavior. While historically these patterns have shown statistical edges, market conditions change. Institutional algorithms, changing market structure, or regime shifts can reduce or eliminate edges that existed historically. Initial Balance classification (trend day vs rotation day vs normal day) is a heuristic framework, not a deterministic prediction. Day type can change mid-session. Early classification may prove incorrect as the day develops. Extension projections (1.272x, 1.5x, 1.618x, 2.0x, etc.) are probabilistic targets derived from Fibonacci ratios and empirical market behavior. They are not "support and resistance levels" that price must reach or respect. Markets can stop short of extensions, overshoot them, or ignore them entirely. Volume confirmation assumes high volume indicates institutional participation and conviction. In algorithmic markets, volume can be artificially high (HFT activity) or artificially low (dark pools, internalization). Volume is a proxy, not a guarantee of conviction. LTF precision sampling improves ORB accuracy by using 1-minute bars but introduces additional data dependencies. If 1-minute data is unavailable, inaccurate, or delayed, ORB calculations will be incorrect. The grading system (A+/A/B+/B/C/D) and confidence scores aggregate multiple factors (volume, VWAP, day type, IB expansion, gap context) into a single assessment. This is a mechanical calculation, not artificial intelligence. The system cannot adapt to unprecedented market conditions or events outside its programmed logic. Real trading involves slippage, commissions, latency, partial fills, and rejected orders not present in indicator calculations. ORB Fusion generates signals at bar close; actual fills occur with delay. Opening range forms during highest volatility (first 30 minutes)—spreads widen, slippage increases. Execution quality significantly impacts realized results. Statistics tracking (win rates, extension levels reached, day type distribution) is based on historical bars in your lookback window. If lookback is small (<50 bars) or market regime changed, statistics may not represent future probabilities. Users must independently validate system performance on their specific instruments, timeframes, and broker execution environment. Paper trade extensively (100+ trades minimum) before risking capital. Start with micro position sizing (5-10% of intended size) for 50+ trades to validate execution quality matches expectations. Never risk more than you can afford to lose completely. Use proper position sizing (0.5-2% risk per trade maximum). Implement stop losses on every single trade without exception. Understand that most retail traders lose money—sophisticated indicators do not change this fundamental reality. They systematize analysis but cannot eliminate risk. The developer makes no warranties regarding profitability, suitability, accuracy, reliability, or fitness for any purpose. Users assume full responsibility for all trading decisions, parameter selections, risk management, and outcomes. By using this indicator, you acknowledge that you have read, understood, and accepted these risk disclosures and limitations, and you accept full responsibility for all trading activity and potential losses. [b>═══════════════════════════════════════════════════════════════════════════════[/b> [b>CLOSING STATEMENT[/b> [b>═══════════════════════════════════════════════════════════════════════════════[/b> Opening Range Breakout is not a trick. It's a framework. The first 30-60 minutes reveal where participants believe value lies. Breakouts signal directional conviction. Failures signal trapped participants. Extensions define profit targets. Day types dictate strategy. Failed breakouts create the highest-probability reversals. ORB Fusion doesn't predict the future—it identifies [b>structure[/b>, detects [b>breakouts[/b>, recognizes [b>failures[/b>, and generates [b>probabilistic trade plans[/b> with defined risk and reward. The edge is not in the opening range itself. The edge is in recognizing when the market respects structure (follow breakouts) versus when it violates structure (fade breakouts). The edge is in detecting failures faster than discretionary traders. The edge is in systematic classification that prevents catastrophic errors—like fading a trend day or holding through rotation. Most indicators draw lines. ORB Fusion implements a complete institutional trading methodology: Opening Range theory, Market Profile classification, failed breakout intelligence, Fibonacci projections, volume confirmation, gap psychology, and real-time performance tracking. Whether you're a beginner learning market structure or a professional seeking systematic ORB implementation, this system provides the framework. "The market's first word is its opening range. Everything after is commentary." — ORB Fusion
Penunjuk Pine Script®
oleh DskyzInvestments
10
USD Liquidity Regime for BTC Perps (Dual) V1USD Liquidity Regime for BTC Perps (Dual) This intents to be a BTC Perps USD Liquidity Regime macro indicator. As it names states it is designed for BTCUSDT perpetual futures traders. It attempts to tracks USD strength (DXY, UUP, yields, VIX composite) as liquidity proxy: Lower index = weak USD = Risk-On (green background/histogram = long tailwind for BTC). Higher = strong USD = Risk-Off (red = caution longs, shorts favor). How to use: Green background/histogram: Favor longs — rallies likely, dips bought. Red: Caution longs — corrections hurt, short bias possible. Blue line (index) vs red SMA: Crosses signal regime shifts. Histogram strength: Bigger bars = stronger bias. This is not intended as financial advise or trigger signal tool. This is a work in progress Its value is limited, if you do not understand any or some of the words above please do not use this indicator. If you did, then you understand you are not supposed to use this alone to make decisions. Feel free to ask any questions, this is a work in progress. Feel free to suggest improvements. Educational macro context tool — not signals/advice. Ok for avoiding going against the USD trend dominance by following liquidity. By @frank_vergaram
Penunjuk Pine Script®
oleh frank_vergaram
Microstructure Participation & Acceptance Indicator📊 Microstructure Participation & Acceptance Indicator An advanced participation-based filter combining VWAP distance analysis, volume delta detection, and real-time acceptance/rejection state identification—designed for smaller timeframe trading. 📊 FEATURES VWAP Distance Normalization Context-aware fair value measurement: Automatically resets based on selected anchor (Session/Week/Month) ATR-normalized distance calculation for universal application Identifies when price is extended or compressed relative to equilibrium Configurable extreme distance threshold (default: 1.5 ATR) Adjustable source input (default: HLC3) Volume Delta Proxy Bull vs Bear participation tracking: Calculates volume imbalance between bullish and bearish candles EMA smoothing for cleaner signal generation (default: 9 periods) Delta ratio measurement to identify dominant side Expansion/compression detection to gauge momentum commitment Configurable expansion threshold (default: 1.3x) Acceptance/Rejection State Machine Real-time market regime identification with six distinct states: 🟢 Accepted Long Price moving away from VWAP with expanding bullish delta Distance from VWAP increasing Volume confirming the move Indicates real buying pressure—trade WITH the move 🟢 Accepted Short Price moving away from VWAP with expanding bearish delta Distance from VWAP increasing Volume confirming the move Indicates real selling pressure—trade WITH the move 🟠 Fade Long Price extended beyond threshold (>1.5 ATR above VWAP) Delta not supporting the extension Volume participation absent or diminishing Potential mean-reversion short setup 🟠 Fade Short Price extended beyond threshold (>1.5 ATR below VWAP) Delta not supporting the extension Volume participation absent or diminishing Potential mean-reversion long setup ⚪ Chop Price compressed near VWAP Bollinger Bands tight (width compressed) Delta neutral—no clear commitment NO TRADE ZONE—wait for expansion ⚪ Neutral Transitional state between regimes Momentum shifting but not yet confirmed Monitor for next acceptance signal Bollinger Bands Standard volatility measurement with TradingView default styling: Adjustable period length (default: 20) Configurable standard deviation multiplier (default: 2.0) Visual fill between bands for volatility context Used internally for chop/compression detection Live Dashboard Real-time metrics display (top-right corner): Current market state with color coding VWAP distance in ATR units Delta ratio (bull/bear volume balance) Delta state (Expanding/Compressing) High-contrast design for instant readability 🎯 HOW TO USE For Trend Trading: Accepted Long/Short backgrounds indicate confirmed participation—stay with the trend Strong moves typically travel 1-1.5 ATR from VWAP with delta support Use VWAP as dynamic support/resistance Combine with momentum indicators (MACD, RSI) for confluence Price above VWAP + Accepted Long state = bullish bias Price below VWAP + Accepted Short state = bearish bias For Mean Reversion: Fade Long/Short states signal overextension without participation Price beyond 1.5 ATR from VWAP with weak delta = potential reversal Look for price return to VWAP when extended Bollinger Band extremes + Fade state = high-probability mean reversion setup VWAP acts as mean reversion anchor during range-bound sessions For Risk Management: Chop state = avoid new entries Bollinger Band compression + Chop = pre-expansion zone (wait for breakout) Delta compression after strong move = early exhaustion warning State transitions (Accepted → Neutral → Fade) = tighten stops Signal Confirmation: Strongest setups occur when multiple factors align: BB breakout + Accepted state + price above/below VWAP Price rejection at BB bands + Fade state VWAP support/resistance hold + state transition Delta expansion + distance increasing + trend direction ⚙️ SETTINGS All components are fully customizable through organized input groups: VWAP Distance Group: VWAP source (default: HLC3) Anchor period (Session/Week/Month) ATR length for normalization (default: 14) Extreme distance threshold in ATR multiples (default: 1.5) Volume Delta Group: Delta EMA length (default: 9) Delta expansion threshold (default: 1.3) Acceptance Logic Group: Acceptance lookback period (default: 5) Chop threshold in VWAP/ATR units (default: 0.3) Bollinger Bands Group: BB length (default: 20) Standard deviation multiplier (default: 2.0) Display Group: Toggle state backgrounds Toggle state change labels Toggle VWAP line Toggle Bollinger Bands 💡 EDUCATIONAL VALUE This indicator teaches important concepts: How institutional money identifies fair value (VWAP) The difference between price movement and market acceptance Why volume participation matters more than price action alone How to distinguish between noise and committed directional moves The relationship between volatility compression and expansion cycles Why distance from equilibrium predicts mean reversion probability ⚠️ IMPORTANT NOTES This indicator is for educational and informational purposes only This is a filter, not a standalone trading system No indicator is perfect—always use proper risk management Past performance does not guarantee future results Combine with your own analysis and risk tolerance Test thoroughly on historical data before live trading This is not financial advice—use at your own risk 🔧 TECHNICAL DETAILS Pine Script Version 6 Overlay indicator (displays on price chart) All calculations use standard, well-documented formulas No repainting—all signals are confirmed on bar close Compatible with all timeframes and instruments Optimized for smaller timeframes (1-5 minute charts) Minimal computational overhead 📝 CHANGELOG Version 1.0 Initial release VWAP distance normalization with ATR scaling Volume delta proxy system (bull/bear EMA) 6-state acceptance/rejection state machine Bollinger Bands integration Real-time dashboard with live metrics State change labels and background coloring Full customization options Developed for traders who need objective participation filters to distinguish high-probability setups from low-quality noise—without cluttering their charts with multiple indicator panels.
Penunjuk Pine Script®
oleh daniel_lee7395
Big Trades Whale Detector [Volume Anomalies] By HKOverview The "Big Trade Detector" helps you spot institutional footprints by identifying volume anomalies that act as outliers compared to recent history. It uses statistical analysis (Standard Deviation) to filter out noise and highlight only significant buying or selling pressure. Features: Volume Decomposition: Approximates buy/sell volume based on price action within the candle (Close vs. Range). 3-Tier Detection: Uses dynamic thresholds to categorize volume spikes into Small, Medium, and Extreme events. Smart Calculation: Compares current volume against the previous average to detect sudden shifts in momentum. Visuals: Green Circles (Below Bar): Unusual Buying Pressure (Support defense or Breakout). Red Circles (Above Bar): Unusual Selling Pressure (Resistance defense or Dump). Size Matters: The larger the circle, the higher the standard deviation (Sigma) of that volume event.
Penunjuk Pine Script®
oleh colacorn
39
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions Overview ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength. Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions. The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves. Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength. Conceptual Framework ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines. Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes. Three guiding principles define the framework: Volatility must be conditioned on trend strength Extremes occur within zones, not at lines Signals should emerge from completed wave transitions, not instantaneous touches This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation. Theoretical Foundation The indicator fuses directional movement theory with statistical volatility modeling. Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium. From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases. At its core are three interacting systems: ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves. Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions. State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium. This structure ensures that signals reflect completed volatility waves, not transient noise. How It Works ADX Volatility Waves processes price action through layered wave mechanics: Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength. Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions. Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves. Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave. Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals. Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form. Together, these processes create a continuous, adaptive wave map of volatility behavior. Interpretation ADX Volatility Waves reframes market reading around volatility cycles: Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility. Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion. Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals. Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion. Wave progression and completion matter more than single-bar interactions. Signal Logic & Visual Cues ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period. Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger. Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress. All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods. Strategy Integration ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks: Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries. Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion. Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions. Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves. Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior. Technical Implementation Details Core Engine : ADX-normalized volatility expansion Wave System : Smoothed, offset, expanded volatility waves Visualization : Multi-layer gradient wave zones Signal Logic : State-based wave transitions with cooldown enforcement Alerts : Wave entry, wave completion, volatility compression Performance Profile : Lightweight, real-time optimized overlay Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Short-term volatility waves and intraday transitions 15 - 60 min : Structured intraday wave cycles 4H - Daily : Macro volatility regimes and expansion phases Suggested Baseline Configuration: BB Length : 20 BB StdDev : 1.5 ADX Length : 14 ADX Influence : 0.8 Wave Offset : 1.0 Wave Width : 1.0 Neutral Confirmation : 5 bars These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Performance Characteristics High Effectiveness: Markets exhibiting rhythmic volatility expansion and contraction Assets with responsive ADX regime behavior Reduced Effectiveness: Erratic, news-driven price action Illiquid markets with distorted volatility metrics Integration Guidelines Confluence : Combine with BOSWaves structure or trend tools Discipline : Respect wave completion and cooldown logic Risk Framing : Interpret wave depth probabilistically, not predictively Regime Awareness : Always contextualize waves within ADX strength Disclaimer ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
Penunjuk Pine Script®
oleh BOSWaves
15
Manipulation Candle SystemThis indicator is based on One Candle Scalping Strategy by ProRealAlgos ## **Manipulation Candle System – Simple Explanation** This indicator helps traders identify **potential market manipulation** during the **US stock market session (New York)** and highlights **key reversal signals**. --- ### **1. Daily ATR (Average True Range)** * Measures the **average price movement** of the day. * Helps determine if a move is **normal** or **abnormally large**. * The indicator calculates **daily ATR** automatically. * If 15 minute opening candle is more than 25% of Daily ATR, we can call it manipulation is happen . --- ### **2. 15-Minute Opening Candle Box** * Highlights the **first 15-minute candle** of the US session. * The box **extends for 2 hours** after the market opens. * **Color indicates market condition**: * **Red box** → the opening candle range is bigger than 25% of the daily ATR → potential **manipulation**. * **Blue box** → the opening candle range is normal → **neutral session**. * Helps traders visually spot when the market might be trying to **trap traders**. --- ### **3. 5-Minute Reversal Detection** * Looks for **reversal candle patterns** on the 5-minute chart: * Bullish engulfing or strong bullish pin → **buy reversal**. * Bearish engulfing or strong bearish pin → **sell reversal**. * Only checks during the **US session**, after 15 minute opening candle. * Helps traders **time entries** in the direction of potential market reversals. --- ### **4. Buy / Sell Signals** * Shows **triangle markers** on the chart: * **Green triangle below candle** → buy signal. * **Red triangle above candle** → sell signal. * The signal text also indicates: * `"BUY (Trap Reversal)"` → if the reversal occurs during manipulation. * `"BUY (Normal Reversal)"` → if the reversal occurs during a neutral session. * `"SELL (Trap Reversal)"` → if a sell reversal occurs during manipulation. * `"SELL (Normal Reversal)"` → otherwise. --- ### **5. Info Table** * Appears at the **top-right** of the chart. * Shows: 1. Daily ATR value. 2. 15-minute opening candle range. 3. Session condition → `"MANIPULATION"` or `"NEUTRAL"`. 4. Current reversal signal text. --- ### **How a New Trader Can Use It** 1. Look at the **color of the opening box**: * Red → be cautious, price may trap traders. * Blue → normal market behavior. 2. Watch for **reversal signals** on the 5-minute chart. 3. Use the **info table** to confirm ATR, session bias, and signals. 4. Combine this with **risk management** before entering trades.
Penunjuk Pine Script®
oleh tnumar
2
GARCH Adaptive Volatility & Momentum Predictor 💡 I. Indicator Concept: GARCH Adaptive Volatility & Momentum Predictor ----------------------------------------------------------------------------- The GARCH Adaptive Momentum Speed indicator provides a powerful, forward-looking view on market risk and momentum. Unlike standard moving averages or static volatility indicators (like ATR), GARCH forecasts the Conditional Volatility (σ_t) for the next bar, based on the principle of volatility clustering. The indicator consists of two essential components: 1. GARCH Volatility (Level): The primary forecast of the expected magnitude of price movement (risk). 2. Vol. Speed (Momentum): The first derivative of the GARCH forecast, showing whether market risk is accelerating or decelerating. This component is the main visual signal, displayed as a dynamic histogram. ⚙️ II. Key Features and Adaptive Logic ----------------------------------------------------------------------------- * Dynamic Coefficient Adaptation: The indicator automatically adjusts the GARCH coefficients (α and β) based on the chart's timeframe (TF): - Intraday TFs (M1-H4): Uses higher α and lower β for quicker reaction to recent shocks. - Daily/Weekly TFs (D, W): Uses lower α and higher β for a smoother, more persistent long-term forecast. * Momentum Visualization: The Vol. Speed component is plotted as a dynamic histogram (fill) that automatically changes color based on the direction of acceleration (Green for up, Red for down). 📊 III. Interpretation Guide ----------------------------------------------------------------------------- - GARCH Volatility (Blue Line): The predicted level of market risk. Use this to gauge overall position sizing and stop loss width. - Vol. Speed (Green Histogram): Momentum is ACCELERATING (Risk is increasing rapidly). A strong signal that momentum is building, often preceding a breakout. - Vol. Speed (Red Histogram): Momentum is DECELERATING (Risk is contracting). Indicates momentum is fading, often associated with market consolidation. 🎯 IV. Trading Application ----------------------------------------------------------------------------- - Breakout Timing: Look for a strong, high GREEN histogram bar. This suggests the volatility pressure is increasing rapidly, and a breakout may be imminent. - Consolidation: Small, shrinking RED histogram bars signal that market energy is draining, ideal for tight consolidation patterns.
Penunjuk Pine Script®
oleh s_d_t
Tailwind.(BTC)Imagine the price of Bitcoin is like a person climbing a staircase. The Steps (Grid): Instead of watching every single price movement, the strategy divides the market into fixed steps. In your configuration, each step measures **3,000 points**. (Examples: 60,000, 63,000, 66,000...). The Signal: We buy only when the price climbs a full step decisively. The "Expensive Price" Filter: If the price jumps the step but lands too far away (the candle closes too high), we do not buy. It is like trying to board a train that has already started moving too fast; the risk is too high. Rigid Exits: The Take Profit (TP) and Stop Loss (SL) are calculated from the edge of the step, not from the specific price where you managed to buy. This preserves the geometric structure of the market. The Code Logic (Step-by-Step) A. The Math of the Grid (`math.floor`) pinescript level_base = math.floor(close / step_size) * step_size This is the most important line. What does it do? It rounds the price down to the nearest multiple of 3,000. Example: If BTC is at 64,500 and the step size is 3,000: 1. Divide: $64,500 / 3,000 = 21.5$ 2. `math.floor` (Floor): Removes the decimals $\rightarrow$ remains $21$. 3. Multiply: $21 * 3,000 = 63,000$. Result: The code knows that the current "floor" is **63,000**, regardless of whether the price is at 63,001 or 65,999. B. The Strict Breakout (`strict_cross`) pinescript strict_cross = (open < level_base) and (close > level_base) Most strategies only check if `close > level`. We do things slightly differently: `open < level_base`: Requires the candle to have "born" *below* the line (e.g., opened at 62,900). `close > level_base`: Requires the candle to have *finished* above the line (e.g., closed at 63,200). Why? This avoids entering on gaps (price jumps where the market opens already very high) and confirms that there was real buying power crossing the line. C. The "Expensive Price" Filter (`max_dist_pct`) pinescript limit_price_entry = level_base + (step_size * (max_dist_pct / 100.0)) price_is_valid = close <= limit_price_entry Here you apply the percentage rule: -If the level is 63,000 and the next is 66,000 (a difference of 3,000). -If `max_dist_pct` is **60%**, the limit is $63,000 + (60\% \text{ of } 3,000) = 64,800$. -If the breakout candle closes at **65,000**, the variable `price_is_valid` will be **false** and it will not enter the trade. This avoids buying at the ceiling. D. TP and SL Calculation (Anchored to the Level) pinescript take_profit = level_base + (step_size * tp_mult) stop_loss = level_base - (step_size * sl_mult) Note that we use `level_base` and not `close`. -If you entered because the price broke 63,000, your SL is calculated starting from 63,000. -If your SL is 1.0x, your stop will be exactly at 60,000. This is crucial: If you bought "expensive" (e.g., at 63,500), your real stop is wider (3,500 points) than if you bought cheap (63,100). Because you filter out expensive entries, you protect your Risk/Reward ratio. E. Visual Management (`var line`) The code uses `var` variables to remember the TP and SL lines and the `line.set_x2` function to stretch them to the right while the operation remains open, providing that visual reference on the chart until the trade ends. Workflow Summary Strategy Parameters: Total Capital: $20,000 We will use 10% of total capital per trade. Commissions: 0.1% per trade. TP: 1.4 SL: 1 Step Size (Grid): 3,000 We use the 200 EMA as a trend filter. Feel free to experiment with the parameters to your liking. Cheers.
Strategi Pine Script®
oleh OldWave96
1
CT Market Fragility & Systemic Risk Monitor v1.0CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 Systemic Stress & Market Regime Monitor OVERVIEW Wall Street-grade structural monitoring now open-source. CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 is a real-time systemic risk tool designed to detect fragility before it hits price. Built by former institutional traders, it delivers structural insight typically reserved for desks inside hedge funds and global macro desks. This isn’t about finding entries or exits, it’s about understanding the environment you're trading in, and recognizing when it's shifting. WHAT IT DOES • Monitors six key market domains: Equities, Rates/Credit, FX (USD stress), Commodities, Crypto, and Macro • Detects volatility stress, cross-domain coupling, and regime synchronization • Classifies market structure into Normal → Fragile → Critical • Shows a live dashboard with scores, coupling levels, and structural state • Plots event markers (T1, T2, T3) for structural transitions • Implements hysteresis logic to model post-stress 'memory • Supports both single-domain ("Local Mode") and system-wide monitoring HOW IT WORKS This engine does not rely on traditional TA. No moving averages. No MACD. No patterns. No guesswork. Instead, it measures how markets are behaving beneath price detecting when stress is: • Building internally • Spreading across domains • Synchronizing into systemic fragility T1 (🟠) — Early instability: acceleration in market coupling T2 (🔵) — Fragile regime: multiple domains simultaneously stressed T3 (🔴) — Critical regime: synchronized, system-wide stress These are not buy/sell signals. They are structural regime alerts, the same kind used by institutions to cut risk before stress cascades. WHY IT MATTERS Most retail tools are reactive. They interpret surface-level patterns after the move. This tool is different. It’s proactive – measuring pressure before it breaks structure. Institutions have used structural fragility models like this for years. This script helps close that gap, giving everyday traders the same early warnings that pros use to reduce exposure and sidestep systemic blowups. It’s not about finding the edge. It’s about not getting crushed when the system breaks. Whether you trade crypto, stocks, FX, or macro, this engine helps answer: • Is the system stable right now? • Are stress levels rising across markets? • Is it time to tighten risk? Institutions don’t wait for breakouts. They monitor structure. Now, you can too. KEY FEATURES • Works on any asset class and any timeframe • Fully customizable domain selection • Three-tier structural alert system (T1–T3) • Real-time dashboard: stress scores, states, and coupling levels • Hysteresis modeling: post-stress “memory” detection • Supports single-domain (local) or multi-domain (systemic) monitoring • PineScript alerts built-in RECOMMENDED USE Active traders - all asset classes Use the dashboard and T1–T3 alerts to stay aware of structural risk in real time. Track multi-timeframe alignment to detect where risk originates and how it spreads across markets. Crypto trader s Monitor upstream domains (Equities, FX, Rates, Macro) to detect pressure before it reaches crypto. Identify reflexive stress before Bitcoin reacts — and stay ahead of contagion events. Macro & systematic traders Use T1–T3 transitions as volatility filters, exposure governors, or dynamic risk overlays. Build regime-aware models that adapt to shifting systemic conditions. Examples & Visuals Question: Would it have helped to know that at 9:30 on October 9th and again at 10:00 on October 10th that critical states were detected in the structural behavior of Bitcoin? Take a look: 30 min chart BTC shows two distinct T3 (critical) regime detections October 9th and 10:30 October 10th 5m BTC chart reveals high frequency instability for the same period, identifying instability, fragility, criticality The 30minute BTC chart at 16:30 Friday October 10th,, a few hours after first detecting critical systemic risk RISK DISCLAIMER This is a structural analysis tool, not a predictive signal. It does not provide financial advice, trade entries, or forecasts. Use at your own risk. Full disclaimer embedded in the script. Complexity Trading - From Wall St to Main St No patterns. No repainting. No mysticism. Just logic, math, science and market structure - now made accessible to everyone. Developer of LPPL Critical Pulse (LPPLCP), the Temporal Phase Model (TPM) and other other advanced structural and attractor based systems inspired by Sornette’s LPPL framework and other differentiated thinkers. Note on Methodology This tool is not predictive, and not designed for academic publication. It is a real-time structural monitoring system inspired by academically established concepts, including LPPL attractor dynamics, cross-asset coupling, reflexivity, and phase regime transitions, implemented within the real-time constraints of PineScript, and intended for visual, exploratory, and diagnostic use.
Penunjuk Pine Script®
oleh ComplexityTrading
14
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis. It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade. How it Works The strategy relies on the "Golden Trio" of confluence: 1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as: Price is above the Session VWAP. The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends). 2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session). Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish. Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish. 3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts. Key Features The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H). Trend: Checks if Price > EMA 21. VWAP: Checks if Price > VWAP. ORB: Checks if Price is currently above/below the Opening Range of that session. D H/L: Warns if price is near the Daily High or Low. PD H/L: Warns if price is near the Previous Daily High or Low. Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move). Chart: Draws Green/Red zones extending to the right, showing where price may react. Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning. Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs. Visual Guide (Chart Legend) ⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box. 🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum. 🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum. 🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks. 🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here. 🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here. ⚪ Dots (Trailing Stop): 🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss. 🔴 Red Dots: These appear above price during a Bearish trend. 🏷️ Buy / Sell Labels: BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish. SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish. Settings Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise. Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor. Order Blocks: Adjust the sensitivity and lookback period for Order Block detection. Risk: Customize the ATR multiplier for the trailing stop. Disclaimer This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
Penunjuk Pine Script®
oleh EliasVictor
Session HeatmapIntraday Seasonality Overview Analyzes historical patterns by time of day. Identifies when volatility, volume, and open interest changes tend to be highest or lowest. Features Multiple Metrics: TR (volatility), Volume, and Open Interest changes Flexible Grouping: View patterns by weekday or month to spot day-of-week or seasonal effects Heatmap Visualization: Blue (low) to Red (high) color scale for quick pattern recognition Percentile Mode: Reduces outlier impact by using 5th-95th percentile range Timezone Support: Display in UTC alongside your local time Metrics Explained TR: Volatility - when markets move most Volume: Liquidity - when participation is highest OI Increase: When new positions are opened OI Decrease: When positions are closed OI Net: Net open interest change Usage Set your timezone and preferred slot size (30min/1H) Choose a date range (relative or custom) Select a metric to analyze Use "Group By" to see weekday or monthly patterns Switch to Percentile color scale if outliers dominate Notes Chart timeframe should be equal to or smaller than Slot Size OI metrics require Binance Perpetual symbols DST is not automatically adjusted; consider seasonal shifts for US/EU sessions
Penunjuk Pine Script®
oleh ketan_kee
Session ATR Progression Tracker📊 Session ATR Progression Tracker - SIYL Regression Trading Tool Track how much of your instrument's 7-day Average True Range (ATR) has been covered during the current trading session. This indicator is specifically designed for regression traders who follow the "Stay In Your Lane" (SIYL) methodology, helping you identify when the probability of mean reversion significantly increases. If you are interested in more on that check out Rod Casselli and tradersdevgroup.com. 🎯 Key Features: • Real-time ATR Coverage Percentage - See at a glance what percentage of the 7-day ATR has been covered in the current session • SIYL-Optimized Thresholds - See at a glance when the instrument has achieved 80% and 100% ATR coverage, the proven thresholds where mean reversion probability increases (customizable) • Flexible Session Modes: - Daily: Resets at calendar day change - Session: Uses exchange-defined trading sessions - Custom Session: Set your exact session start/end times (perfect for futures traders and international markets) • Visual Alerts - Color-coded display (gray → orange → red) and optional background highlighting • Repositionable Display - Choose from 9 screen positions to avoid chart clutter • Session Markers - Green triangles mark the start of each new session • Detailed Stats - View current range, ATR value, session high/low, and session status 💡 Why Use This Indicator? This tool is built around a proven concept: regression trading becomes significantly more effective once a session has achieved at least 80% of its 7-day ATR. At this threshold, the probability of price reverting to mean increases substantially, creating higher-probability trade setups for SIYL practitioners. Benefits for regression traders: - Identify optimal entry points when mean reversion probability is highest (≥80% ATR coverage) - Avoid premature regression entries before adequate range has been established - Recognize when daily moves have "earned their range" and are ripe for reversal - Time fade-the-move and counter-trend strategies with statistical backing - Improve win rates by trading only after proven probability thresholds are met ⚙️ Setup Instructions: 1. Add the indicator to your chart 2. Select your preferred "Reset Mode" (recommend "Custom Session" for futures/international markets) 3. If using Custom Session, enter your session times in 24-hour format (e.g., 0930-1600 for US stocks, 1700-1600 for CME futures) 4. Adjust alert thresholds if desired (default: 80% and 100% - proven SIYL thresholds) 5. Position the display where it's most visible on your chart 📈 Works Across All Markets: Stocks • Futures • Forex • Indices • Crypto • Commodities Perfect for regression traders, mean reversion specialists, and SIYL practitioners who want to trade with probability on their side by entering only after the session has "earned its range." --- Tip: For futures contracts with overnight sessions that span calendar days (like MES, MNQ, MYM), use "Custom Session" mode with your exchange's official session times for accurate tracking.
Penunjuk Pine Script®
oleh jmaybe
1