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VWAP Institutional Trading Engine INDICATORVWAP Institutional Trading Engine Adaptive Market Regime & Trading Model Indicator 🔍 Overview The VWAP Institutional Trading Engine is an advanced, rule-based market analysis indicator designed to replicate institutional decision-making logic using VWAP, volatility, and session-based market behavior. This indicator does not predict price. Instead, it answers a more important question: “What type of trading is appropriate right now – if any?” The engine continuously evaluates: Market regime (trend, range, dead market) Volatility conditions VWAP acceptance and deviation Trading session (Asia / London / New York) Based on this, it dynamically activates one of three trading models: TREND MEAN REVERSION OFF (no trading) This makes it ideal for: Discretionary traders Systematic traders Risk-focused trading Educational / portfolio-style trading approaches 🧠 Core Philosophy Professional trading is not about finding more signals. It is about knowing when not to trade. This indicator is built around three institutional principles: VWAP defines fair value Volatility defines opportunity or danger Different sessions require different behavior ⚙️ Indicator Components 1️⃣ VWAP & Statistical Deviation Bands VWAP represents institutional fair price ±1σ bands indicate acceptance zones ±2σ bands represent statistical extremes Used for: Mean reversion zones Trend acceptance confirmation Go Score calculation 2️⃣ Volatility Engine Volatility is measured using ATR relative to price Compared against its own moving average Classifications: Low volatility → dead / untradable market Normal volatility → structured behavior High volatility → trend or liquidation events 3️⃣ Market Regime Detection The engine classifies each moment into one regime: Regime Meaning TREND Price accepts above or below VWAP with volatility RANGE Price rotates near VWAP DEAD Low volatility, no opportunity MIXED Unclear structure 4️⃣ Active Trading Model (Most Important) Displayed in the dashboard as Model: Model Interpretation TREND Trade with momentum and continuation MEAN_REVERT Trade extremes back to VWAP OFF Do not trade The Model tells you HOW you are allowed to trade right now. 5️⃣ Session Awareness (UTC) The indicator adapts behavior based on session logic: Session Preferred Behavior Asia Mean Reversion London Trend New York Selective / adaptive Trades are only allowed when model + session are aligned. 6️⃣ Go Score – Trade Quality Filter Each potential setup receives a Go Score (0–100), based on: Distance from VWAP Market regime quality Volatility penalties Go Score Interpretation ≥ 80 High-quality (A+) 65–79 Acceptable < 65 No trade 7️⃣ Risk Guidance (Informational) The indicator outputs a Risk % suggestion, based on: Go Score Simulated drawdown logic ⚠️ This is guidance only, not position sizing. 📈 Visual Signals The indicator plots contextual signals, not blind entries: Mean Reversion Signals ▲ Long below −2σ ▼ Short above +2σ Trend Signals ↑ Long after acceptance above +1σ ↓ Short after acceptance below −1σ Signals appear only when trading is allowed by: Model Session Go Score 🧩 Dashboard Explanation The top-right dashboard displays real-time engine state: Field Description Session Current UTC session Regime Detected market condition Go Score Trade quality score Risk % Suggested relative risk Drawdown % Virtual defensive metric Model Active trading model If Model = OFF → do nothing. 🧭 Practical Trading Manual (Step-by-Step) Step 1 – Check the Model TREND → look for continuation MEAN_REVERT → look for extremes OFF → do not trade Step 2 – Confirm Session Alignment Asia + Mean Reversion ✔ London + Trend ✔ Misalignment = caution Step 3 – Check Go Score Below 65 → skip 65+ → proceed Step 4 – Use Chart Structure VWAP = anchor σ bands = context Signal = permission, not obligation Step 5 – Manage Risk Manually Use your own SL/TP rules Follow the Risk % as guidance, not law ❌ What This Indicator Is NOT Not a signal spam tool Not a prediction system Not a “holy grail” It is a decision framework. ✅ Best Use Cases Futures Indices Forex Crypto Intraday & swing trading Recommended timeframes: 5m – 1H (intraday) 4H (contextual swing) 🏁 Final Notes This indicator is intentionally transparent and rule-based. It is designed to help traders: Think in regimes Trade with structure Avoid overtrading Protect capital If you trade with the Model, not against it, you will already be ahead of most market participants.
Pine Script®指標
由ypkiss12提供
Session Anchored OIWAP [Arjo]The Session Anchored OIWAP (Open Interest Weighted Average Price) indicator shows you a weighted average price that uses Open Interest (OI) changes during different trading sessions . It divides the day into four clear sessions: Opening Hour , Morning Session , Mid-Day Session , and Closing Session . For each session , it calculates a weighted average price using both market price and open interest data from futures . This line updates as the session progresses and resets when a new session starts . You can also see optional deviation bands that you visually compare to how far the market price is moving away from the session’s weighted average. This indicator also helps you watch how Open Interest changes connect with price movements during specific market hours. Concepts This tool works on a few simple ideas: Session anchoring Each session starts fresh. The indicator resets and begins a new calculation when a new time block begins. This allows users to visually study each session independently. Open-interest weighting Instead of treating all price moves equally, price changes linked to higher open-interest activity have more influence on the OIWAP. This gives a weighted reflection of where the market has been trading during the session. Averaging and smoothing The OIWAP line blends many price data points into one smooth curve, making it easier to follow than raw price movement. Volatility display with bands The upper and lower bands are placed at ±0.5 standard deviation from the OIWAP line. These bands simply help you see when price stretches further away than usual from the session average. Features Four Independent Session Calculations: Shows separate OIWAP lines for Opening Hour (default: 09:15-10:15), Morning (10:15-11:30), Mid-Day (11:30-14:00), and Closing (14:00-15:30) sessions Open Interest Weighting: Uses absolute OI change as the weight instead of traditional volume Customizable Session Times: You can change the time ranges for each session to match your market or what you need Optional Deviation Bands: You can turn ±0.5 standard deviation bands on or off around each OIWAP line Color-Coded Sessions: Each session has its own color so you can tell them apart easily Selective Display: You can turn individual sessions and bands on or off Data Availability Check: Shows you a notification when Open Interest data isn't available for your symbol Adjustable Position Timeframe: You can calculate OI changes on different timeframes (Chart, Daily, 15min, 30min, 60min, 120min) How to use Add this indicator to a chart of any symbol that has Open Interest data ( from futures or derivatives contracts). Once you add it, you'll see colored lines showing the OIWAP for each session you enable, along with optional deviation bands. Adjusting Settings: Turn individual sessions on or off using the checkboxes in the " Sessions " section Change session colors to match your chart or what looks good to you Turn deviation bands on or off using the " Show Bands " option in the Display settings Change session time ranges in the " Session Times " section to match your market hours or what you want to analyze Change the Position Timeframe if you want to see OI changes calculated on a different time period Visual Interpretation: Each OIWAP line shows you the OI-weighted average price for that session The deviation bands show you how much prices spread out, weighted by OI changes You can watch how price interacts with these levels to see where significant OI activity happened Different sessions may show different OIWAP levels, showing you how the OI-price relationship changes throughout the trading day Note: This indicator needs Open Interest data to work. If OI data isn't available for your symbol, you'll see a message in the center of your chart. This indicator works only with derivatives markets like futures and options in the Indian Market where OI data is publicly available. Conclusion The Session Anchored OIWAP indicator is designed to support structured market observation by combining price, open interest, and session anchoring into a clear visual format. It helps users study market behavior during different parts of the day without generating trading instructions or outcomes. Disclaimer This indicator is for educational and visual-analysis purposes only. It does not provide trading signals , financial advice, or guaranteed outcomes . You should perform your own research and consult a licensed financial professional when needed. All trading decisions are solely the responsibility of the user. Happy Trading
Pine Script®指標
由ARJO_2019提供
MADZ - Moving Average Deviation Z-ScoreMADZ - Moving Average Deviation Z-Score MADZ is a powerful valuation oscillator that measures how far the current price has deviated from a user-selected moving average, expressed in statistical terms as a Z-Score. This normalization makes it easier to identify overvalued and undervalued conditions across different assets, timeframes, and market environments. Overview The indicator works by: Calculating the percentage deviation of price from a customizable moving average (SMA, EMA, WMA, VWMA, HMA, or RMA). Applying a Z-Score transformation to this deviation over a chosen lookback period — showing how many standard deviations the current deviation is from its historical average. Smoothing the result for a clean, responsive oscillator centered around zero. Positive values indicate price is trading above the moving average (potentially overvalued), while negative values suggest price is below (potentially undervalued). The further from zero, the greater the relative valuation extreme. Key Features Customizable base moving average (type and length) Z-Score normalization for statistically meaningful readings Final smoothing for reduced noise Static overbought/oversold levels (default ±1.5) — line changes color when crossed (red above, green below) Dynamic extreme bands (±3σ) — optional display of bands calculated from the oscillator’s own volatility over a user-defined period Extreme zone highlighting — background shading activates only during truly rare valuation events Extreme Zone Highlighting Explained The highlighted extreme zones (background shading) are not based on the fixed static levels. Instead, they signal statistically significant outliers using dynamic bands: Overbought extreme zone (red background): Triggered when MADZ rises above the upper dynamic band (+3 standard deviations of the MADZ line itself over the dynamic length period). Oversold extreme zone (green background): Triggered when MADZ falls below the lower dynamic band (-3 standard deviations). These ±3σ bands adapt to the recent behavior of the oscillator. Because they represent three standard deviations from the mean of MADZ, crossings are rare and often precede major reversals or trend accelerations — making them valuable for spotting potential turning points in valuation extremes. How to Use Use zero-line crosses for trend changes or mean-reversion setups. Watch static level crossings (±1.5 default) for early overbought/oversold warnings. Pay special attention to extreme zone shading — these highlight high-conviction valuation dislocations that may offer superior risk/reward opportunities. Designed on the BTC chart, but can be used on other assets. Settings Moving Average Settings: Type, length, source Z-Score & Smoothing: Lookback period and smoothing length Threshold Levels: Static overbought/oversold thresholds Display Options: Toggle dynamic bands and extreme background highlighting This is an educational tool designed to aid in valuation analysis. The information provided is not financial advice. Always conduct your own research and consider multiple factors before making trading decisions. Trade at your own risk.
Pine Script®指標
由MiesOnCharts提供
Box BO signals v1Box Breakout Direction Flip Signals is a smart price‐action tool designed to identify clean directional shifts using consolidation boxes and breakout logic. The indicator draws dynamic high–low range boxes and generates Buy (B) and Sell (S) signals only when direction flips, avoiding repeated noise signals during trending moves. ✔ First breakout after box marks direction (Buy or Sell) ✔ Signals alternate: S → B → S → B, never repeating ✔ No signals while price simply continues in same direction ✔ Labels are spaced away from candles for clean visibility ✔ Works best on lower timeframes (1m, 3m, 5m) for scalping / intraday 🎯 How It Works 1️⃣ A consolidation zone forms automatically using candle high–low 2️⃣ Breakout above the box → Buy label → new box begins 3️⃣ Breakout below the box → Sell label → new box begins 4️⃣ Signals print only on actual directional change (flip) 5️⃣ Boxes extend dynamically until breakout occurs
Pine Script®指標
由Ramesh_G提供
Nifty OI Support Resistance This study is designed for educational purposes to assist traders in analyzing price structure on the Nifty 50 index. It creates visual reference zones based on standard mathematical intervals used in the derivatives market. Purpose of the Tool: In the Nifty 50 index, price action is often analyzed relative to "Round Numbers" or standard strike intervals (e.g., multiples of 50). This script automatically plots these mathematical reference levels relative to the current price to help users observe price behavior. How It Works: This indicator uses a mathematical formula to identify the nearest standard strike price intervals based on the current close price. Strike Logic: It projects levels at standard 50-point intervals (Nifty's standard strike distance). Volatility Buffers: It adds a user-defined buffer (default: 30 points) around these levels to visualize a "zone" rather than a specific price point. Major Levels: It visually distinguishes major round numbers (multiples of 500) which are often significant for technical analysis. Features: Automated Plotting: Adjusts dynamically as price moves to show relevant upper and lower reference bands. Zone Visualization: Helps in identifying potential areas of support or resistance based on technical structure. Customizable: Users can adjust the strike distance and buffer range to suit different volatility conditions. Usage: This tool is intended to be used as a visual aid for Technical Analysis. It allows users to see where the price is located relative to standard Nifty intervals. ⚠️ STANDARD DISCLAIMER & DISCLOSURE: Nature of Content: This script and description are for educational and informational purposes only. No Financial Advice: This tool does not constitute investment advice, buy/sell recommendations, or trading tips. Not SEBI Registered: The author is not a SEBI registered Research Analyst (RA) or Investment Advisor (IA). Methodology: The levels displayed are generated purely via mathematical calculation based on price inputs and do not represent real-time exchange Open Interest data. Risk Warning: Trading in securities market is subject to market risks. Read all the related documents carefully before investing. User discretion is advised.
Pine Script®指標
由rohit2ten2k提供
2
Key Price Levels + Zones"Support and resistance are rarely exact lines; hey are zones where price reacts." This indicator upgrades standard horizontal levels by visualizing Liquidity Zones around the most critical intraday reference points: Pre-Market, Previous Day, and Previous Week Highs/Lows. Unlike basic scripts that just draw thin lines, this tool combines the precision of exact price levels with the reality of market volatility. It offers deep customization, allowing you to separate line colors from zone colors, perfect for keeping your charts clean and professional. Key Features 1. Dual Zone Logic (Dynamic Sizing) • Price Tier Mode (Default): Zones are sized based on the asset price (e.g., higher-priced stocks get wider zones automatically). This mimics "psychological" levels. • ATR Volatility Mode: Switches calculation to use the Average True Range (ATR). Zones expand during high volatility and contract during chop, adapting to the market conditions in real-time. 2. Ultimate Customization • Separate Colors: You can finally set your Line Color (e.g., Bright Green) independently from your Zone Fill (e.g., Faint Grey). • Individual Toggles: Turn the Line, Zone, or Label on/off individually for every single level. • Line Styles: Differentiate daily levels (Solid) from weekly levels (Dashed) instantly. 3. The "Smart" Levels • PM High/Low: Real-time Pre-Market tracking that freezes at the open. • PD High/Low: Previous Day’s range. • PW High/Low: Previous Week’s range (Critical for swing points). --- Settings Guide • Extension Style: - Individual: Keeps history of levels for backtesting. - Most Recent: Keeps the chart minimal by extending only today's levels. • Zone Thickness Mode: Switch between "Price Tier" and "ATR Volatility". • ATR Settings: Fully adjustable Length and Multiplier (when in ATR mode). • Transparency: Global slider to control how subtle or bold the zones appear. How to Trade This • The "Trap": If price breaks a Line but fails to close outside the Zone, it is often a liquidity grab (fakeout). • The Retest: Watch for price to break a level and use the Zone as a cushion for a bounce/retest entry.
Pine Script®指標
由oXXo1提供
1
MAs + Bollinger Bands by @ETERNYWORLDMAs + Bollinger Bands by @ETERNYWORLD is the core trend and volatility layer inside the Trend Mastery Pro ecosystem, engineered by EternityWorld to deliver a clean, structured, and highly customizable market bias reading directly on the chart. What’s Inside the Indicator 5 independent Moving Averages (EMA or SMA) with individual enable/disable toggles, lengths, colors, and widths. Bollinger Bands with professional basis options: SMA, EMA, RMA/SMMA, WMA, VWMA, plus adjustable deviation multiplier and visual band fill. Chart overlay compatibility, making trend and volatility easy to interpret for fast decisions. Fully configurable alerts, enabling traders to stay proactive without missing high-probability expansion triggers. Enhanced by Trend Mastery Pro Workflow This indicator complements the 3-step methodology of Trend Mastery Pro: Bias → defines the dominant trend direction. Trigger → identifies breakout or momentum expansion zones using confluence with volatility. Management → supports consistent risk execution when combined with external strategy rules and trade plans. Key Strengths ✔ Unified trend + volatility envelope on chart ✔ Individual component control (no clutter, no guesswork) ✔ Noise reduction in consolidation environments ✔ Adaptable to crypto, forex, indices, commodities, and equities ✔ Reliable for intraday impulse plays and structured directional setups How to Use It Context: Align your analysis with the broader bias before execution. Signal: Watch for volatility expansion and trend alignment for breakout scenarios. Execution: Apply your risk plan (position size, partials, BE/trailing) based on your trading model. Best Practices 🛡️ Tune sensitivity according to asset volatility and timeframe horizon 🛡️ Avoid trading against dominant bias during compression phases 🛡️ Always validate through backtesting and forward testing before scaling 🛡️ Log performance and refine parameters iteratively Who It's For Traders who want: A repeatable and disciplined process A professional visual structure Less noise, more clarity, better bias alignment A premium indicator suite that supports real decision-making Compatibility Seamlessly works with any asset and timeframe on TradingView supporting chart overlay indicators. Alerts are designed to help monitoring without being glued to the screen. Disclaimer ⚠️ This product is not financial advice and does not guarantee results. Performance varies depending on market conditions, asset behavior, user configuration, and applied risk management. Always trade responsibly and follow your own risk plan.
Pine Script®指標
由ETERNYWORLD提供
Gridbot Ping Pong🏓 Gridbot Ping Pong is a dynamic grid bot indicator that generates buy and sell signals as price oscillates between automatically calculated support and resistance levels. The grid adapts to trending markets through adjustable tilt and anchor parameters, which control the grid slope and shift resistance respectively. Entry signals trigger when price touches grid levels, while take profit and stop signals manage position exits. Unlike traditional grid bots that require horizontal ranges, this indicator maintains its oscillation zone as price trends by tilting and shifting the grid structure to follow momentum. The grid bot approach aims to accumulate gains through frequent touches across multiple grid levels rather than seeking large directional moves. Like a ping pong ball in motion, price oscillates between grid levels — each touch generates a signal. ⚡ THEORY & CONCEPTS ⚡ Grid trading is a systematic approach that places buy and sell orders at predetermined price intervals, creating a grid of orders above and below a set price level. In ranging markets, this method capitalizes on natural price oscillations by buying at lower grid levels and selling at higher ones. Each completed round trip between levels represents a captured opportunity, and the frequency of these oscillations determines the grid's effectiveness. Traditional grid bots excel when price remains within the defined range, methodically accumulating gains as price bounces between levels. However, traditional grid structures face significant challenges when markets begin to trend. Fixed horizontal levels that performed well during consolidation become liabilities during directional moves. An uptrend leaves buy orders unfilled while sell orders trigger prematurely, and a downtrend creates the opposite problem. Extended trends can result in accumulated positions at increasingly unfavorable prices, with no mechanism to adapt to the new market reality. The static nature of traditional grids assumes markets will return to the mean, yet sustained breakouts regularly invalidate this assumption. Gridbot Ping Pong addresses these limitations through dynamic grid adaptation. The tilt parameter angles the grid in the direction of the prevailing trend, aligning support and resistance levels with market momentum rather than fighting against it. The anchor parameter creates buffer zones beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a grid shift. When price breaks through these buffers, the entire grid recenters to the new price level. This combination of tilting grids and controlled shifting allows the indicator to maintain grid trading mechanics while acknowledging that markets trend. The grid adapts through a downtrend and early reversal. Entry signals (▲▼), take profit signals (△▽), and grid shifts demonstrate the ping pong sequence as price oscillates between levels. The grid structure consists of five levels: two potential support levels below, a center base price, and two potential resistance levels above. These levels are calculated as percentage intervals from a dynamic base price, with the spacing parameter determining the distance between each level. Trend direction is derived from consecutive grid shifts, where multiple shifts in the same direction confirm momentum. The grid restricts entries to the trend direction — buy signals in uptrends, sell signals in downtrends — while counter-trend signals convert to exits when appropriate. Full market cycle demonstrating grid adaptation through rally, reversal, decline, and recovery. Buy signals dominate during uptrends, sell signals during downtrends, with take profits at boundaries throughout. Two stop signals mark the trend reversals. Tilt The tilt mechanic introduces slope to the grid structure based on trend direction and momentum. When consecutive shifts occur in the same direction, the tilt increases, creating a steeper grid that tracks with the trend. As the trend progresses, support levels rise with it — buy signals trigger on pullbacks to these rising levels rather than static levels abandoned by price. Similarly, resistance levels fall during downtrends, keeping sell signals relevant to current price action. If the trend reverses and shifts occur in the opposite direction, the tilt resets and begins building in the new direction. The tilt strength parameter controls how aggressively the grid slopes, with higher values producing steeper angles. Negative tilt values invert this relationship, angling the grid against the prevailing momentum rather than with it. This counter-trend configuration positions support levels lower during uptrends and resistance levels higher during downtrends, favoring mean reversion entries that anticipate pullbacks rather than continuation. Negative tilt applied during an uptrend. Despite the bullish price action from late November through December, the grids slope downward, positioning buy signals at deeper support levels. Take profit signals appear at resistance as price reaches the upper grid boundaries before pulling back. The counter-trend configuration captures oscillations within the rising market rather than chasing momentum. Anchor The anchor mechanic provides resistance to grid shifting. Buffer zones extend beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a shift. Higher anchor values create larger buffers, requiring more significant price movement. As consecutive shifts confirm a trend, the pro-trend buffer shrinks, allowing the grid to follow momentum with increasing ease. This lets the indicator commit to established trends while resisting premature shifts during consolidations. Tilt and anchor work in complementary tension: tilt rewards momentum by angling the grid, while anchor resists excessive shifting by requiring price conviction to recenter. When price breaks through these buffers, the entire grid recenters to the new price level and play continues on a fresh table. Steady uptrend with minimal tilt. The flat grid segments demonstrate that shifting alone keeps the grid aligned with price action. Buy signals (▲) and take profit signals (▽) alternate as price bounces between levels, accumulating gains through repetition across the entire move. Sustained uptrend from June through September. The grid follows the trend with increasing ease as consecutive shifts reduce the pro-trend buffer. The October consolidation eventually triggers a downward shift and stop signal, but the system adapts to the renewed uptrend in November with fresh entry signals. Signal Generation The indicator generates three signal types. Entry signals (▲▼) trigger when price reaches a grid level in the direction of the trend, initiating a new position. Take profit signals (△▽) trigger when price reaches a grid level against the trend direction while a position is held, capturing gains as the rally continues. Stop signals (⦿) trigger when a grid shift occurs while holding a position adverse to the new shift direction. The ball goes off the table. Trend reversal from bearish to bullish. The grid follows the downtrend through November with consecutive sell signals. A stop signal (⦿) triggers at the bottom as the grid shifts adversely against the held position. The system resets and adapts to the emerging uptrend in December, generating fresh buy signals as the new direction establishes. Trigger Options The signal trigger determines what price data the indicator uses to detect grid touches, balancing responsiveness against confirmation. Auto : The default setting, using wick-based detection for pro-trend signals and close-based detection for counter-trend signals. This balances responsiveness when entering with the trend against confirmation when signaling against it. Wick Touch : Generates signals in real-time when the high or low touches a grid level, providing the fastest response to price interaction. Wick Reverse : Requires the wick to cross through the grid level from the previous bar, confirming the touch before signaling. SWMA : Uses a Symmetrically Weighted Moving Average as the trigger source, generating signals only when the smoothed price crosses grid levels. Close : Uses the bar's closing price as the trigger source, providing confirmed signals after each bar completes. Symmetrically Weighted Moving Average (SWMA) trigger during a trend reversal. The smoothed price line filters intrabar noise, generating signals only when the SWMA crosses grid levels rather than reacting to wick touches. The grid follows the downtrend through November, resets at the bottom, and adapts to the emerging uptrend in December. Signal Safeguards The indicator includes built-in protections to reduce overtrading and mitigate risk, keeping the ball in play longer: Boundary Protection : New entries are blocked at the outermost grid levels where breakout risk is highest. Exits remain permitted at these boundaries. Signal Spacing : Signals maintain one-level separation from the most recent signal, preventing clusters of entries at similar prices. Trend Alignment : When conflicting conditions arise, signals align with the prevailing trend direction rather than fighting momentum. Automatic Profit Taking : Counter-trend interactions convert to take profit signals when a position is held, capturing gains rather than reversing exposure. Adverse Shift Stops : When the grid shifts against a held position, a stop signal triggers to exit before further adverse movement. Cautious Breakout Entries : On the first shift in a new direction, entries are restricted to favorable grid levels until the trend confirms through consecutive shifts. Shift Resistance : Counter-trend shifts always require full buffer conviction, while pro-trend shifts become easier only after the trend is confirmed. 🛠️ CONFIGURATION & SETTINGS 🛠️ Core Parameters SPACING (%) : Sets the percentage distance between grid levels. Higher values create wider grids with more room between signals, lower values create tighter grids with more frequent signal opportunities. TRIGGER : Selects the price source for signal detection. See Trigger Options above. TILT : Controls the grid slope factor in the trend direction. ANCHOR : Controls resistance to grid shifting. Visual Settings GRIDS : Sets the colors for support (lower) and resistance (upper) grid levels. FILL : Sets the gradient fill colors between the price line and outer grid boundaries. SWMA : Sets the color of the Symmetrically Weighted Moving Average line. 🏓 PLAYING GRIDBOT PING PONG 🏓 ⚪The objective is not to predict where price will go, but to be present at each level when it arrives. ⚪Each touch at a boundary counts. Gains accumulate through repetition, not single swings. ⚪The rally continues until it doesn't. When the ball goes off the table, the game resets. ⚪The grid creates boundaries where price bounces back and forth. The table is set — the ball does the work. ⚪Price oscillates between defined levels. The grid is the table. Everything else is just ping pong. Tennis is a form of ping pong. In fact, tennis is ping pong played while standing on the table. In fact, all racquet games are nothing but derivatives of ping pong. — George Carlin ⚠️ DISCLAIMER ⚠️ The Gridbot Ping Pong indicator is a visual analysis tool designed to illustrate grid trading concepts and serve as a framework for understanding grid bot mechanics. While the indicator generates entry, exit, and stop signals, no guarantee is made regarding the profitability of these signals. Like all technical indicators, the grid levels and signals generated by this tool may appear to align with favorable trading opportunities in hindsight. However, these signals are not intended as standalone recommendations for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis. 🧠 BEYOND THE CODE 🧠 Gridbot Ping Pong is part of the Grid Bot Series, building on the concepts introduced in the Grid Bot Simulator , Grid Bot Auto , and Grid Bot Parabolic indicators. While those tools established the foundation for grid-based analysis, this indicator introduces dynamic tilt and anchor mechanics that adapt to trending market conditions. This indicator shares the same educational philosophy as the Fibonacci Time-Price Zones and the Fibonacci Geometry Series - providing frameworks for understanding market concepts through visualization and experimentation rather than black-box signals. The Gridbot Ping Pong indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Feedback and insights are invaluable to refining and enhancing this tool. We look forward to the creative applications, observations, and discussions this indicator inspires within the trading community.
Pine Script®指標
由xxattaxx提供
5
Velocity Divergence Radar [JOAT] Velocity Divergence Radar - Momentum Physics Edition Overview Velocity Divergence Radar is an open-source oscillator indicator that applies physics concepts to market analysis. It calculates price velocity (rate of change), acceleration (rate of velocity change), and jerk (rate of acceleration change) to provide a multi-dimensional view of momentum. The indicator also includes divergence detection and force vector analysis. What This Indicator Does The indicator calculates and displays: Velocity - Rate of price change over a configurable period, smoothed with EMA Acceleration - Rate of velocity change, showing momentum shifts Jerk (3rd Derivative) - Rate of acceleration change, indicating momentum stability Force Vectors - Volume-weighted acceleration representing market force Kinetic Energy - Calculated as 0.5 * mass (volume ratio) * velocity squared Momentum Conservation - Tracks momentum relative to historical average Divergence Detection - Identifies when price and velocity diverge at pivots How It Works Velocity is calculated as smoothed rate of change: calculateVelocity(series float price, simple int period) => float roc = ta.roc(price, period) float velocity = ta.ema(roc, period / 2) velocity Acceleration is the change in velocity: calculateAcceleration(series float velocity, simple int period) => float accel = ta.change(velocity, period) float smoothAccel = ta.ema(accel, period / 2) smoothAccel Jerk is the change in acceleration: calculateJerk(series float acceleration, simple int period) => float jerk = ta.change(acceleration, period) float smoothJerk = ta.ema(jerk, period / 2) smoothJerk Force is calculated using F = m * a (mass approximated by volume ratio): calculateForceVector(series float mass, series float acceleration) => float force = mass * acceleration float forceDirection = math.sign(force) float forceMagnitude = math.abs(force) Signal Generation Signals are generated based on velocity behavior: Bullish Divergence: Price makes lower low while velocity makes higher low Bearish Divergence: Price makes higher high while velocity makes lower high Velocity Cross: Velocity crosses above/below zero line Extreme Velocity: Velocity exceeds 1.5x the upper/lower zone threshold Jerk Extreme: Jerk exceeds 2x standard deviation Force Extreme: Force magnitude exceeds 2x average Dashboard Panel (Top-Right) Velocity - Current velocity value Acceleration - Current acceleration value Momentum Strength - Combined velocity and acceleration strength Radar Score - Composite score based on velocity and acceleration Direction - STRONG UP/SLOWING UP/STRONG DOWN/SLOWING DOWN/FLAT Jerk - Current jerk value Force Vector - Current force magnitude Kinetic Energy - Current kinetic energy value Physics Score - Overall physics-based momentum score Signal - Current actionable status Visual Elements Velocity Line - Main oscillator line with color based on direction Velocity EMA - Smoothed velocity for trend reference Acceleration Histogram - Bar chart showing acceleration direction Jerk Area - Filled area showing jerk magnitude Vector Magnitude - Line showing combined vector strength Radar Scan - Oscillating pattern for visual effect Zone Lines - Upper and lower threshold lines Divergence Labels - BULL DIV / BEAR DIV markers Extreme Markers - Triangles at velocity extremes Input Parameters Velocity Period (default: 14) - Period for velocity calculation Acceleration Period (default: 7) - Period for acceleration calculation Divergence Lookback (default: 10) - Bars to scan for divergence Radar Sensitivity (default: 1.0) - Zone threshold multiplier Jerk Analysis (default: true) - Enable 3rd derivative calculation Force Vectors (default: true) - Enable force analysis Kinetic Energy (default: true) - Enable energy calculation Momentum Conservation (default: true) - Enable momentum tracking Suggested Use Cases Identify momentum direction using velocity sign and magnitude Watch for divergences as potential reversal warnings Use acceleration to detect momentum shifts before price confirms Monitor jerk for momentum stability assessment Combine force and kinetic energy for conviction analysis Timeframe Recommendations Works on all timeframes. Higher timeframes provide smoother readings; lower timeframes show more granular momentum changes. Limitations Physics analogies are conceptual and not literal market physics Divergence detection uses pivot-based lookback and may lag Force calculation uses volume ratio as mass proxy Kinetic energy is a derived metric, not actual energy Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script®指標
由officialjackofalltrades提供
Liquidity-SAJJATLiquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity Liquidity
Pine Script®指標
由SajjatHossen提供
Mid-term RibbonWhat the indicator is meant to tell you -Mid-term trend direction (bullish vs bearish) -Trend transitions when the ribbon flips color -Trend strength (wider ribbon = stronger momentum) -Helps traders stay in trends longer and avoid chop Typical use cases -Trend-following entries and exits -Filtering trades in the direction of the ribbon -Visual confirmation for other signals -Swing trading and position trading Colors are customizable Only for educational purposes, no recommendation to buy or sell
Pine Script®指標
由Gartav388637提供
Polynomial Regression Channel [ChartPrime]⯁ OVERVIEW The Polynomial Regression Channel fits price action using advanced polynomial regression, extending beyond simple linear or logarithmic models. By leveraging matrix calculations, it builds a curved regression line that adapts to swings more naturally. The channel includes extrapolated forward projections, helping traders visualize where price may gravitate in the near future. Midline color shifts reflect directional bias, while prediction ranges are marked with dashed extensions, labeled prices, and a live table for clarity. ⯁ KEY FEATURES Polynomial Regression Core: Uses matrix algebra to calculate a polynomial fit of customizable degree, adapting to complex, non-linear market structures. polyreg(source, length, degree, extrapolate) => total = length + extrapolate X_all = matrix.new(total, degree + 1, 0.0) for i = 0 to total - 1 for j = 0 to degree matrix.set(X_all, i, j, math.pow(i, j)) // y (length × 1), oldest→newest over the fit window y = matrix.new(length, 1, 0.0) for i = 0 to length - 1 matrix.set(y, i, 0, source ) // X_train (first `length` rows of X_all) X_tr = matrix.new(length, degree + 1, 0.0) for i = 0 to length - 1 for j = 0 to degree matrix.set(X_tr, i, j, matrix.get(X_all, i, j)) // OLS via normal equations: (X'X)^(-1)b = X'y ⇒ b = (X'X)^(-1) X'y Xt = matrix.transpose(X_tr) // X' XtX = matrix.mult(Xt, X_tr) // (X'X) Xty = matrix.mult(Xt, y) // X'y XtX_inv = matrix.inv(XtX) // (X'X)^(-1) b = matrix.mult(XtX_inv, Xty) // b = (X'X)^(-1) X'y // Predictions for all rows (fit + extrap) preds = matrix.mult(X_all, matrix.col(b,0)) preds Extrapolated Future Projections: Forward-looking range (dashed lines + circular markers) shows where the fitted polynomial suggests price may move. Dynamic Midline Coloring: Regression midline shifts green when slope turns upward and magenta when slope turns downward, giving instant directional context. Channel Boundaries: Upper and lower levels expand from the midline using a volatility-based offset, framing potential overbought and oversold conditions. Top-Right Data Table: A live table displays Upper, Middle, and Lower Prediction values, updating in real time for quick reference without scanning the chart. ⯁ USAGE Use the regression midline to gauge underlying market bias; green slopes suggest continuation, magenta slopes caution for weakness. Watch dashed extrapolated ranges as potential targets or reaction zones during upcoming sessions. Price labels and table values act as precise reference levels for planning entries, exits, or stop placement. Increase Degree for more curve-fitting on choppy markets, or keep it low for broader trend approximation. Adjust Period and Extrapolate length to balance stability vs. responsiveness. ⯁ CONCLUSION The Polynomial Regression Channel offers a mathematically advanced way to visualize price trends and anticipate future paths. With matrix-driven polynomial fitting, extrapolated projections, and integrated live labels, it combines statistical rigor with practical trading visuals — a robust upgrade over standard regression channels.
Pine Script®指標
由ChartPrime提供
11
deKoder | VWAP | Volume Weighted Average PriceAn advanced, open-source Volume Weighted Average Price indicator with multi-period anchoring, standard deviation bands, previous period value area extension, comprehensive alerts, and enhanced visual context. This script is a significant upgrade over standard VWAP implementations (including TradingView's built-in VWAP (the basis for this script) and typical community versions). It is designed for experienced intraday, swing, and positional traders who require precise, context-aware mean reference levels with minimal chart clutter. Key Features & Trading Value 1 | Previous Period Value Area Extension Automatically extends the prior anchor period's VWAP and ±1σ bands into the current period as reference lines. Optional translucent fill between the previous ±1σ bands creates a clear "previous value area" zone. Why it matters : The edges of the prior period's value area often act as dynamic support/resistance or mean reversion zones. This visual persistence eliminates manual drawing and provides immediate context for reactions at prior fair value zones. These are especially powerful on intraday charts when using Daily/Weekly/Quarterly anchors. 2 | Comprehensive Approach Alerts Configurable proximity-based alerts trigger when price approaches (from either side) any plotted level: current VWAP, all six deviation bands (±1σ, ±2σ, ±3σ), and previous period VWAP/±1σ value area. Adjustable trigger percentage and minimum bar cooldown prevent alert spam during consolidation. Why it matters : Enables hands-off monitoring of potential mean reversion setups, deviation extremes, or breakout/rejection candidates without constant screen watching. 3 | Additional Professional-Grade Enhancements Flexible Anchor Periods : Daily, Weekly, Monthly, Quarterly (default), Yearly, Decade, Century, plus event-based resets (Earnings, Dividends, Splits). Intelligent Visibility Controls : Hide entire indicator on selected higher timeframes (1H and above). Dynamic distance filter removes off-screen levels (based on % from price). Limit plotting to last X bars for performance and clarity. Real-Time Info Table : Displays current anchor, timeframe, and rounded live values for VWAP and all bands, enabling fast access to precise level values for order placement. Fully customisable position, text size, font (monospace option), and price level decimal rounding. Right-Side Labels with Tooltips : Clean, minimal labels at current levels with hover tooltips allow you to quickly identify the level without cluttering the chart. Customizable Styling : Independently adjustable colours for VWAP and each deviation band pair. Offset support for forward/backward shifting. Recommended Use Cases Intraday Scalping/Mean Reversion : 5m–15m charts with Daily anchor + previous value area as primary reference. Swing Entries : Higher timeframes (1H–4H) using Weekly or Quarterly VWAP for bias, with previous quarter's value area as major confluence. Deviation Trading : Watch for price interaction with ±2σ/±3σ bands combined with approach alerts for potential exhaustion. Institutional Benchmarking : Quarterly/Yearly anchors approximate common institutional VWAP reset periods. Additional Notes Source fixed to hlc3 (industry standard for VWAP). Enjoy cleaner, more contextual VWAP analysis. | | deKoder | | Released December 2025 | Open Source // IF THIS FREE(!) VWAP SCRIPT — OR ANY OF ITS FRIENDS — HAS HELPED YOU BANK SOME COINS... // A COFFEE, LUNCH, OR A FEW SATS GOES A LONG WAY TOWARDS KEEPING THE LIGHTS ON // COFFEE KEEPS THE PINE FLOWING 😉❤️ | FR33FA11 // SOL: 2N8HWPAHSC7Z8SLyneMrZp234UAP9HCtQX7wNXw7LKQC // ETH: 0xE770D254DC579d1db7bA2fe74376b7009527356B // BTC: bc1qd8j3awht5yrjtnvt5dagxldzhaesc83sftype3 // POLYGON: 0xE770D254DC579d1db7bA2fe74376b7009527356B // HYPE: 0xE770D254DC579d1db7bA2fe74376b7009527356B
Pine Script®指標
由FR33FA11提供
ATR Bands (MA Distance)ATR Bands (MA Distance) plots volatility-based bands at a multiple of ATR away from a selected moving average. Unlike percentage envelopes or standard deviation bands, this indicator measures distance from the moving average using ATR, representing the market’s normal “breathing range” rather than statistical probability. Key Features The center line is a selectable moving average (EMA, SMA, RMA/Wilder, or WMA). Upper and lower bands are calculated as: Moving Average ± ATR × Multiplier Band width automatically adapts to changing market volatility. Designed for consistent use across different markets and timeframes without parameter re-optimization. Non-repainting: all values are calculated only from confirmed historical bars. Intended Use ATR Bands (MA Distance) is best used as a context and preparation tool , not as a direct entry or exit signal. Typical use cases include: Identifying areas where price is extended relative to its recent volatility. Visualizing normal vs. stretched price distance from the moving average. Supporting range-based analysis or trade preparation when combined with other indicators (e.g., oscillators). Important Notes / How NOT to Use This indicator does NOT generate buy or sell signals by itself . Touching or crossing a band does not imply an automatic reversal. In strong trending markets, price may stay outside the bands for extended periods. ATR Bands should not be interpreted as overbought/oversold levels on their own. This indicator does NOT repaint. Once a bar is closed, its values will not change. For best results: Use ATR Bands as a preparation zone, then wait for confirmation from your own entry logic. Disable or ignore band-based mean-reversion ideas during strong trend conditions. Concept Summary (Short) ATR Bands (MA Distance) visualize how far price has moved from its moving average in terms of volatility, without repainting and without relying on percentage deviation or statistical assumptions. Optional Short Description (Preview) Volatility-based, non-repainting ATR bands plotted at a distance from a moving average. Designed for market context and trade preparation — not standalone signals.
Pine Script®指標
由SunnySpots提供
Nadaraya-Watson Envelope + EMA Filter (Optimized for BTC)Best Way to Use This Nadaraya-Watson EnvelopeThis indicator is not a standalone "holy grail" system — it's a powerful predictive tool that estimates where price is "likely" to go based on historical patterns.Core Idea:The orange line = predicted "fair value" or mean price path The blue cloud = expected range (dynamic support/resistance) Price tends to mean-revert to the orange line Best Practices:Trade bounces in ranging markets:BUY at lower band (green) when price is below orange line SELL at upper band (red) when price is above orange line Target: the orange line or opposite band Trade breakouts in trending markets:If price breaks and closes strongly outside the cloud → potential trend start Wait for pullback to orange line for entry in trend direction Best timeframes:5m–15m: Scalping bounces 1H–4H: Swing trading mean reversion Add confluence for higher win rate:Only take BUY if price is above EMA 200 (uptrend bias) Combine with volume spike or RSI oversold/overbought Use with support/resistance levels Risk management:Stop loss: just outside the envelope Take profit: at orange line or next band enjoy
Pine Script®指標
由DMC1989提供
Stochastic MAs+ (K Logit Bands)Below is a ready-to-paste **English TradingView publish description** that is detailed enough to satisfy the “Originality & usefulness” and “Description” house-rule expectations. It explains **what is original**, **why the components are combined**, **how they work together**, and **how to use it**, including practical presets and cautions. --- ## Title **Stochastic MAs+ (K Logit Bands) — Extreme-Zone Reversion with Adaptive Percentile Bands** ## Overview This script is a **Stochastic-based extreme-zone tool** designed for traders who want signals that occur **near statistically-defined extremes**, while reducing noise and overtrading. It combines three ideas into one coherent workflow: 1. **Stochastic %K/%D with selectable smoothing MAs** (EMA/ZEMA/SMA/KAMA) 2. **Adaptive Logit Percentile Bands** computed **on %K** (not price) to define “extreme” zones dynamically 3. A **two-step signal workflow** (Touch → Re-entry → First K/D Cross) with **cooldown + invalidation rules** to suppress repeated signals in choppy markets This is not a “mashup for convenience.” The logit-percentile bands and the signal state-machine are explicitly built to **solve a common Stochastic problem**: fixed 20/80 levels are often too generic, and raw K/D crosses can fire repeatedly in ranges. The components here work together to make Stochastic extremes more **context-aware** and signals more **selective**. --- ## What makes it original / useful ### 1) Dynamic extremes based on the oscillator’s own distribution Instead of using fixed 20/80, the script builds **percentile-based bands on transformed %K values**: * **Logit transform** is used to expand sensitivity near 0 and 100 (where Stochastic tends to compress). * A rolling buffer stores recent transformed values. * **Percentiles** (e.g., 15% / 85%) define adaptive low/high bands that respond to changing volatility regimes. Result: “Extreme” zones are **relative to recent market behavior**, which is often more practical than static thresholds. ### 2) A structured signal process to reduce overtrading Classic Stochastic crossovers can spam signals. This script uses a **state-based trigger**: **Long logic** 1. %K drops below the **adaptive low band** (touch/arm) 2. %K re-enters above the low band (re-entry) 3. The first bullish crossover occurs (K crosses above D) while K remains below the mid-band **Short logic** is symmetrical. Then it adds: * **Cooldown**: prevents clustered entries during noisy periods * **Max wait**: invalidates old setups if confirmation takes too long * **Mid-band invalidation**: if K moves too far (crosses mid), the setup is considered late and discarded This turns Stochastic into a **controlled mean-reversion trigger** rather than an always-on crossover machine. --- ## How it works (plain-language) ### A) Stochastic with selectable smoothing (MAK/MAD) * `%K` is computed from the standard Stochastic formula, then smoothed with your chosen MA. * `%D` is computed by smoothing `%K` with a chosen MA. **MA options** * **EMA**: baseline responsive smoothing * **ZEMA**: reduced lag (faster reactions) * **SMA**: heavier smoothing (less noise) * **KAMA**: adaptive smoothing (reacts faster when price moves, slower in noise) ### B) K-based Logit Percentile Bands The script builds bands from **%K**, not from price: * Convert K into logit space → store in rolling buffer * Compute low/high percentiles in logit space * Convert back to 0–100 space with logistic function * Produce: **kLo / kHi / kMid** This keeps the bands stable and meaningful even when volatility changes. ### C) Signal state-machine * **Touch**: K enters extreme zone * **Re-entry**: K exits the extreme zone * **Trigger**: first K/D cross after re-entry, while still in the “early” half of the band (before mid) The idea is to catch reversals **early**, but not on the very first noisy bounce. --- ## How to use ### 1) Baseline setup (recommended starting point) These defaults are already aligned with the script’s intent: * Stoch: **21 / 3 / 7** * Bands: **bandLen 200**, **low/high 0.15/0.85**, **logitGain 1.0** * Signals: **cooldown 8**, **maxWait 24**, **Use D Direction Confirm ON** This typically produces fewer, more selective signals than traditional 14/3/3 style settings. ### 2) Interpreting the plots * **%K (purple)** and **%D (yellow)** are the smoothed oscillator lines. * **kLo / kHi / kMid** are the adaptive bands. * Labels: * **“L”** appears near the low band when a long setup completes * **“S”** appears near the high band when a short setup completes ### 3) Practical trading workflow * Prefer using signals as **timing cues**, not as a complete strategy by themselves. * Many traders combine this with: * a trend filter (e.g., EMA200 direction) * a volatility filter (avoid low-vol chop) * or higher timeframe confirmation The script is designed to give **high-quality entry timing near extremes**, but you still need a trade plan for exits and risk management. --- ## Tuning guide (fast) ### Want signals closer to extremes (more selective)? * Decrease / increase percentiles: * lowPct **0.12** and highPct **0.88** * Increase logitGain slightly: * logitGain **1.1–1.2** * Increase cooldown: * cooldown **10–14** ### Want earlier signals (faster confirmations)? * Use faster MA for %D (or reduce periodD): * maD = **ZEMA** (or EMA) * Reduce cooldown a bit: * cooldown **5–8** ### Getting too many signals in ranges? * Increase periodK to reduce chop: * periodK **34** * Increase cooldown * Keep D confirm enabled --- ## Strengths * **Adaptive extreme zones**: bands adjust to changing regimes (better context than static 20/80) * **Reduced noise**: the Touch→Re-entry→Cross structure avoids many “random” crosses * **Configurable smoothing**: lets you tune response vs stability via MA type * **Risk-friendly by design**: cooldown + invalidation reduce repeated entries during chop ## Limitations * **Not a full strategy**: no position management, take-profit/stop rules, or trend filter included * **Mean-reversion bias**: in strong trends, Stochastic can stay overbought/oversold for long periods * **Band buffer needs history**: percentile bands are more reliable after enough bars have accumulated (bandLen) --- ## Notes on repainting / confirmations * The percentile band buffer uses **confirmed bars** (optional) to avoid unstable band updates during an incomplete candle. * Signal labels are plotted when the full signal conditions are met (you can enforce confirmed-bar signals via settings). --- ## Suggested disclaimer (TradingView-friendly) This indicator is for research and educational purposes and does not constitute financial advice. Always test settings on your market/timeframe and use proper risk management.
Pine Script®指標
由illbecmo提供