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Bands and Channels

Physics of PricePhysics of Price is a non-repainting kinematic reversal and volatility overlay. It models price as a physical object with position, velocity, and acceleration, then builds adaptive bands and a short-term predictive “ghost cone” to highlight where reversals are statistically more likely. CONCEPT Instead of using only moving averages, the core engine tracks a smoothed price (position), trend speed (velocity), and change in trend speed (acceleration). Standard deviation of the model error defines probabilistic bands around this kinematic centerline. When price stretches too far away and snaps back, the move is treated as a potential exhaustion event. CORE COMPONENTS – Kinematic centerline (Alpha–Beta–Gamma style filter) that bends with trend instead of lagging like a simple MA. – Inner and outer bands based on the standard deviation of residuals between price and the kinematic model. – Regime filter using R² and band width to avoid signals in chaotic or ultra-wide regimes. – Optional RSI “hook” filter that waits for momentum to actually turn instead of buying into a falling RSI. – Optional divergence add-on using kinematic velocity, so a marginal new price extreme with weaker velocity is recognized as a possible exhaustion pattern. REVERSAL EVENTS AND SCORING Raw events are detected when price wicks through the outer band and closes back inside (band hit with snap). These are plotted as diamonds and treated as candidates, not automatic trades. Each event is then scored from 0 to 100 using several factors: – How far price overshot the outer band. – How strongly it snapped back inside. – Whether an RSI hook is present (if enabled). – Regime quality from the kinematic model. – Basic kinematic safety to avoid the most aggressive “knife-catch” situations. – Optional divergence bonus when price makes a new extreme but velocity does not. Only events with a score above the chosen threshold become confirmed signals (triangles labeled PHYSICS REV). GHOST CONE (PREDICTIVE BAND) On the latest bar, the script projects a short-horizon “ghost cone” into the future using position, velocity, and a damped acceleration term. This creates a curved predictive band that visualizes a plausible short-term path and range, rather than a simple straight line. The cone is meant as context for trade management and risk, not as a hard target. FILTERS AND OPTIONS – Regime filter (R² and band width) can be tightened or relaxed depending on how selective you want the engine to be. – RSI and volume filters can be toggled on for extra confirmation or off to see the raw kinematic behavior. – An optional trend baseline (EMA) can be enabled to bias or restrict reversals relative to a higher-timeframe trend. – Dynamic cooldown scales with volatility so the script does not spam signals in fast environments. HOW TO USE Physics of Price is primarily a mean-reversion and exhaustion tool. It works best in markets that respect ranges, swings, and two-sided order flow. Confirmed PHYSICS REV signals near the outer bands, with decent model health and a clean RSI hook, are the core use case. The bands and ghost cone can also be used as a context overlay alongside your own entries, exits, and risk framework. This is an indicator, not a complete trading system. It does not use lookahead or higher-timeframe security calls and is designed for “once per bar close” alerts. Always combine it with your own risk management and confluence.
Pine Script® indicator
by Finntech1
1
Keltner Hull Suite [QuantAlgo]🟢 Overview The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes. 🟢 How It Works The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness: hullMA = ta.hma(priceSource, hullPeriod) The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process: tr = ta.tr(true) smoothTR = ta.ema(tr, keltnerPeriod) doubleSmooth = ta.ema(smoothTR, keltnerPeriod) deviation = doubleSmooth * keltnerMultiplier Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation: upperBound = hullMA + deviation lowerBound = hullMA - deviation The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction: trendUp = trendLine > trendLine trendDown = trendLine < trendLine longSignal = trendState == 1 and trendState != 1 shortSignal = trendState == -1 and trendState != -1 The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction. 🟢 How to Use This Indicator ▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment. ▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions. ▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration. ▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring. ▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
Pine Script® indicator
by QuantAlgo
10
NIFTY Weekly Option Seller DirectionalHere’s a straight description you can paste into the TradingView “Description” box and tweak if needed: --- ### NIFTY Weekly Option Seller – Regime + Score + Management (Single TF) This indicator is built for **weekly option sellers** (primarily NIFTY) who want a **structured regime + scoring framework** to decide: * Whether to trade **Iron Condor (IC)**, **Put Credit Spread (PCS)** or **Call Credit Spread (CCS)** * How strong that regime is on the current timeframe (score 0–5) * When to **DEFEND** existing positions and when to **HARVEST** profits > **Note:** This is a **single timeframe** tool. The original system uses it on **4H and 1D separately**, then combines scores manually (e.g., using `min(4H, 1D)` for conviction and lot sizing). --- ## Core logic The script classifies the market into 3 regimes: * **IC (Iron Condor)** – range/mean-reversion conditions * **PCS (Put Credit Spread)** – bullish/trend-up conditions * **CCS (Call Credit Spread)** – bearish/trend-down conditions For each regime, it builds a **0–5 score** using: * **EMA stack (8/13/34)** – trend structure * **ADX (custom DMI-based)** – trend strength vs range * **Previous-day CPR** – in CPR vs break above/below * **VWAP (session)** – near/far value * **Camarilla H3/L3** – for IC context * **RSI (14)** – used as a **brake**, not a primary signal * **Daily trend / Daily ADX** – used as **hard gates**, not double-counted as extra points Then: * Scores for PCS / CCS / IC are **cross-penalised** (they pull each other down if conflicting) * Final scores are **smoothed** (current + previous bar) to avoid jumpy signals The **background colour** shows the current regime and conviction: * Blue = IC * Green = PCS * Red = CCS * Stronger tint = higher regime score --- ## Scoring details (per timeframe) **PCS (uptrend, bullish credit spreads)** * +2 if EMA(8) > EMA(13) > EMA(34) * +1 if ADX > ADX_TREND * +1 if close > CPR High * +1 if close > VWAP * RSI brake: * If RSI < 50 → PCS capped at 2 * If RSI > 75 → PCS capped at 3 * Daily gating: * If daily EMA stack is **not** uptrend → PCS capped at 2 **CCS (downtrend, bearish credit spreads)** * +2 if EMA(8) < EMA(13) < EMA(34) * +1 if ADX > ADX_TREND * +1 if close < CPR Low * +1 if close < VWAP * RSI brake: * If RSI > 50 → CCS capped at 2 * If RSI < 25 → CCS capped at 3 * Daily gating: * If daily EMA stack is **not** downtrend → CCS capped at 2 **IC (range / mean-reversion)** * +2 if ADX < ADX_RANGE (low trend) * +1 if close inside CPR * +1 if near VWAP * +0.5 if inside Camarilla H3–L3 * +1 if daily ADX < ADX_RANGE (daily also range-like) * +0.5 if RSI between 45 and 55 (classic balance zone) * Daily gating: * If daily ADX ≥ ADX_TREND → IC capped at 2 (no “strong IC” in strong trends) **Cross-penalty & smoothing** * Each regime’s raw score is reduced by **0.5 × max(other two scores)** * Final IC / PCS / CCS scores are then **smoothed** with previous bar * Scores are always clipped to ** ** --- ## Regime selection * If one regime has the highest score → that regime is selected. * If there is a tie or close scores: * When ADX is high, trend regimes (PCS/CCS) are preferred in the direction of the EMA stack. * When ADX is low, IC is preferred. The selected regime’s score is used for: * Background colour intensity * Minimum score gate for alerts * Display in the info panel --- ## DEFEND / HARVEST / REGIME alerts The script also defines **management signals** using ATR-based buffers and Camarilla breaks: * **DEFEND** * Price moving too close to short strikes (PCS/CCS/IC) relative to ATR, or * Trend breaks through Camarilla with ADX strong → Suggests rolling away / widening / converting to reduce risk. * **HARVEST** * Price has moved far enough from your short strikes (in ATR multiples) and market is still range-compatible → Suggests booking profits / rolling closer / reducing risk. * **REGIME CHANGED** * Regime flips (IC ↔ PCS/CCS) with cooldown and minimum score gate → Suggests switching playbook (range vs trend) for new entries. Each of these has a plotshape label plus an `alertcondition()` for TradingView alerts. --- ## UI / Panel The **top-right panel** (optional) shows: * Strategy + final regime score (IC / PCS / CCS, x/5) * ADX / RSI values * CPR status (Narrow / Normal / Wide + %) * EMA Stack (Up / Down / Mixed) and EMA tightness * VWAP proximity (Near / Away) * Final **IC / PCS / CCS** scores (for this timeframe) * H3/L3, H4/L4, CPR Low/High and VWAP levels (rounded) These values are meant to be **read quickly at the decision time** (e.g. near the close of the 4H bar or daily bar). --- ## Intended workflow 1. Run the script on **4H** and **1D** charts separately. 2. For each timeframe, read the panel’s **IC / PCS / CCS scores** and regime. 3. Decide: * Final regime (IC vs PCS vs CCS) * Combined score (e.g. `AlignScore = min(Score_4H, Score_1D)`) 4. Map that combined score to **your own lot-size buckets** and trade rules. 5. During the life of the position, use **DEFEND / HARVEST / REGIME** alerts to adjust. The script does **not** auto-calculate lot size or P&L. It focuses on giving a structured, consistent **market regime + strength + levels + management** layer for weekly option selling. --- ## Disclaimer This is a discretionary **decision-support tool**, not a guarantee of profit or a replacement for risk management. No performance is implied or promised. Always size positions and manage risk according to your own capital, rules, and regulations.
Pine Script® indicator
by distinctSeahor20287
DH EMA 28/72/200 Unified Ribbon (Scaled HTF)Unified EMA Ribbon (28/72/200) This indicator merges two popular EMA systems — 21/55/200 and 34/89/200 — into a single, smoother trend-tracking ribbon. Each pair of EMAs is averaged to create: EMA 28 (average of 21 & 34) EMA 72 (average of 55 & 89) EMA 200 retained as long-term trend filter The unified ribbon reduces noise, improves trend clarity, and provides clean pullback zones for high-probability entries, especially on the H1 timeframe.
Pine Script® indicator
by mustang2807
My script//@version=6 indicator("ISIN demo") // Define inputs for two symbols to compare. string symbol1Input = input.symbol("NASDAQ:AAPL", "Symbol 1") string symbol2Input = input.symbol("GETTEX:APC", "Symbol 2") if barstate.islastconfirmedhistory // Retrieve ISIN strings for `symbol1Input` and `symbol2Input`. var string isin1 = request.security(symbol1Input, "", syminfo.isin) var string isin2 = request.security(symbol2Input, "", syminfo.isin) // Log the retrieved ISIN codes. log.info("Symbol 1 ISIN: " + isin1) log.info("Symbol 2 ISIN: " + isin2) // Log an error message if one of the symbols does not have ISIN information. if isin1 == "" or isin2 == "" log.error("ISIN information is not available for both symbols.") // If both symbols do have ISIN information, log a message to confirm whether both refer to the same security. else if isin1 == isin2 log.info("Both symbols refer to the same security.") else log.info("The two symbols refer to different securities.")
Pine Script® indicator
by zlavreniukk
Mean Reversion — BB + Z-Score + RSI + EMA200 (TP at Opposite Z)This is a systematic mean-reversion framework for index futures and other liquid assets. This strategy combines Bollinger Bands, Z-Score dislocation, RSI extremes, and a trend-filtering EMA200 to capture short-term mean-reversion inefficiencies in NQ1!. It is designed for high-volatility conditions and uses a precise exit model based on opposite-side Z-Score targets and dynamic mid-band failure detection. 🔍 Entry Logic (Mean Reversion) : The strategy enters trades only when multiple confluence signals align: Long Setup Price at or below the lower Bollinger Band Z-Score ≤ –Threshold (deep statistical deviation) RSI ≤ oversold level Price below the EMA-200 (countertrend mean-reversion only) Cooldown must be completed No open position Short Setup Price at or above the upper Bollinger Band Z-Score ≥ Threshold RSI ≥ overbought level Price above the EMA-200 Cooldown complete No open position This multi-signal gate filters out weak reversions and focuses on mature dislocations. 🎯 Take-Profit Model: Opposite-Side Z-Score Target : Once in a trade, take-profit is set by solving for the price where the Z-Score reaches the opposite side: Long TP = Z = +Threshold Short TP = Z = –Threshold This creates a symmetric statistical exit based on reverting to equilibrium plus overshoot. 🛡️ Stop-Loss System (Volatility-Aware) : Stop losses combine: A fixed base stop (points) A standard-deviation volatility component This adapts the SL to regime changes and avoids being shaken out during rare volatility spikes. ⏳ Half-Life Exit : If a trade has not reverted within a fixed number of bars, it automatically closes. This prevents “mean-reversion traps” during trending periods. 📉 Advanced Mid-Band Exit Logic (BB Basis Failure) : This is the unique feature of the system. After entry: Wait for price to cross the Bollinger Basis (middle band) in the direction of the mean. Start a 5-bar delay timer. After 5 bars, the strategy becomes “armed.” Once armed: If price fails back through the mean, exit immediately. Intrabar exits trigger precisely (with tick-level precision if Bar Magnifier is enabled). This protects profits and exits trades at the first sign of mean-failure. ⏱️ Cooldown System : After each closed trade, a cooldown period prevents immediate re-entry. This avoids clustering and improves statistical independence of trades. 🖥️ What This Strategy Is Best For : High-volatility intraday NQ conditions Statistical mean reversion with structured confluence Traders who want clean, rule-based entries Avoiding trend-day traps using EMA and half-life logic 📊 Included Visual Elements : Bollinger Bands (Upper, Basis, Lower) BUY/SELL markers at signal generation Optional alerts for automated monitoring 🚀 Summary : This is a precision mean-reversion system built around volatility bands, statistical dislocation, and price-behavior confirmation. By combining Z-Score, RSI, EMA200 filtering, and a sophisticated mid-band failure exit, this model captures high-probability reversions while avoiding the common pitfalls of naive band-touch systems.
Pine Script® strategy
by spyqdia
NQ-VIX Expected Move LevelsNQ -VIX Daily Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (NQ Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (NQ Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current NQ price and VIX level Daily Open Expected move
Pine Script® indicator
by alanjeremiebarbe
NQ-VIX Expected Move LTF LevelsNQ -VIX LTF Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current NQ price and VIX level Current input TF Open Expected move
Pine Script® indicator
by alanjeremiebarbe
ES-VIX Expected Move LTF LevelsES-VIX LTF Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current ES price and VIX level Current input TF Open Expected move
Pine Script® indicator
by alanjeremiebarbe
Bitcoin Power Law Zones (Dunk)Introduction When viewed on a standard linear chart, Bitcoin’s long-term price action can appear chaotic and exponential. However, when analyzed through the lens of physics and network growth models, a distinct structure emerges. This indicator implements the Bitcoin Power Law , a mathematical model that suggests Bitcoin’s price evolves in a straight line when plotted against time on a "log-log" scale. By calculating parallel bands around this regression line, we create a "Rainbow" of valuation zones that help investors visualize whether the asset is historically overheated, undervalued, or sitting at fair value. The Math Behind the Model The Power Law dictates that price scales with time according to the formula: Price = A * (days since genesis)^b This script uses the specific parameters popularized by recent physics-based analyses of the network: Slope (b): 5.78 (Representing the scaling law of the network adoption). Amplitude (A): 1.45 x 10^-17 (The intercept coefficient). While simple moving averages react to price, this model is predictive based on time and network growth physics, providing a long-term "gravity" center for the asset. Guide to the Valuation Zones Upper Bands (Red/Orange): Extr. Overvalued, High Premium, Overvalued. Historically, these zones have marked cycle peaks where price moved too far, too fast ahead of the network's steady growth. The Baseline (Black Line): Fair Value. The mathematical mean of the Power Law. Price has historically oscillated around this line, treating it as a center of gravity. Lower Bands (Green/Blue): Undervalued, Discount, Deep Discount. These zones represent periods where the market price has historically lagged behind the network's intrinsic value, often marking accumulation phases. Note: The lowest theoretical tiers ("Bitcoin Dead") have been trimmed from this chart to focus on relevant historical support levels. How to Use Logarithmic Scale: You MUST set your chart to "Log" scale (bottom right of the TradingView window) for this indicator to function correctly. On a linear chart, the bands will appear to curve upwards aggressively; on a Log chart, they will appear as smooth, parallel channels. Timeframe: This is a macro-economic indicator. It is best viewed on Daily or Weekly timeframes. Overlay Labels: The indicator includes dynamic labels on the right-side axis, allowing you to instantly see the current price requirements for each valuation zone without manually tracing lines. Credits This script is based on the Power Law theory popularized by Giovanni Santostasi and the original Corridor concepts by Harold Christopher Burger . Disclaimer This tool is for educational and informational purposes only. It visualizes historical mathematical trends and does not constitute financial advice. Past performance of a model is not indicative of future results. Further Reading www.hcburger.com giovannisantostasi.medium.com
Pine Script® indicator
by dunk-devs
ES-VIX Expected Move - Open basedES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current ES price and VIX level Daily Open Expected move
Pine Script® indicator
by alanjeremiebarbe
FVG + Bollinger + Toggles + Swing H&L (Taken/Close modes)This indicator combines multiple advanced market-structure tools into one unified system. It detects A–C Fair Value Gaps (FVG) and plots them as dynamic boxes projected a fixed number of bars forward. Each bullish or bearish FVG updates in real time and “closes” once price breaks through the opposite boundary. The indicator also includes Bollinger Bands based on EMA-50 with adjustable deviation settings for volatility context. Swing Highs and Swing Lows are identified using pivot logic and are drawn as dynamic lines that change color once taken out. You can choose whether swings end on a close break or on any touch/violation of the level. All visual elements—FVGs, Bollinger Bands, and Swing Lines—can be individually toggled on or off from the settings panel. A time-window session box is included, allowing you to highlight a custom intraday window based on your selected timezone. The session box automatically tracks the high and low of the window and locks the final range once the window closes. Overall, the tool is designed for traders who want a structured, multi-layered view of liquidity, volatility, and intraday timing.
Pine Script® indicator
by Menash100