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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® Indikator
von dunk-devs
Weekly False Breakdown ScannerWeekly False Breakdown Scanner Weekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown ScannerWeekly False Breakdown Scanner
Pine Script® Indikator
von muhdhafiz99
SNP420/RSI_GOD_KOMPLEXRSI_GOD_KOMPLEX is a multi–timeframe RSI scanner for TradingView that displays a compact table in the top-right corner of the chart. For each timeframe (1m, 5m, 15m, 30m, 1h, 4h, 1d) it tracks the fast RSI line (not the smoothed/main one) and marks BUY in green when RSI crosses up through 30 (leaving oversold territory) and SELL in red when RSI crosses down through 70 (leaving overbought territory), always using only closed candles for reliable, non-repainting signals. The indicator remembers the last valid signal per timeframe, so the table always shows the most recent directional impulse from RSI across all selected timeframes on the same instrument. author: SNP420 + Jarvis project: FNXS ps: piece and love
Pine Script® Indikator
von SNP_420
HTF FVG + SessionsThis indicator combines multi-timeframe FVG A–C detection with intraday session boxes on a single chart. It automatically finds bullish and bearish Fair Value Gaps on 15m, 30m, 1H, 4H, 1D and 1W timeframes. Fresh FVGs are drawn in a transparent gold color, then dynamically shrink as price trades back into the gap. Once price fully fills the gap, the FVG box and its label are automatically removed from the chart. After the first touch, each FVG changes to a per-timeframe gray shade, making overlapping HTF gaps easy to see. You can toggle each timeframe on/off and also globally enable/disable all FVGs from the settings panel. Session boxes highlight Asia, London, NY AM, NY Lunch and NY PM using soft colored rectangles. Each session box is plotted from the high to the low of that session and labeled with its name in white text. A global “Show all session boxes” switch allows you to quickly hide or display the session structure. This tool is designed for traders who want to combine FVG liquidity maps with clear intraday session context.
Pine Script® Indikator
von Menash100
Adaptive Trend Navigator [ATH Filter & Risk Engine]Description: This strategy implements a systematic Trend Following approach designed to capture major moves while actively protecting capital during severe bear markets. It combines a classic Moving Average "Fan" logic with two advanced risk management layers: a 4-Stage Dynamic Stop Loss and a macro-economic "Circuit Breaker" filter. Core Concepts: 1. Trend Identification (Entry Logic) The script uses a cascade of Simple Moving Averages (SMA 25, 50, 100, 200) to identify the maturity of a trend. Entries are triggered by specific crossovers (e.g., SMA 25 crossing SMA 50) or by breaking above the previous trade's high ("High-Water Mark" Re-Entry). 2. The "Circuit Breaker" (Crash Protection) To prevent trading during historical market collapses (like 2000 or 2008), the strategy monitors the Nasdaq 100 (QQQ) as a global benchmark: Normal Regime: If the market is within 20% of its All-Time High, the strategy operates normally. Crisis Regime: If the QQQ falls more than 20% from its ATH, the "Circuit Breaker" activates (Visualized by a Red Background). Recovery Rule: In a Crisis Regime, new long positions are blocked unless the QQQ reclaims its SMA 200. This filters out "bull traps" in secular bear markets. 3. 4-Stage Risk Engine (Exit Logic) Once in a trade, the risk management adapts to the position's performance: Stage 1: Fixed initial Stop Loss (default 10%) for breathing room. Stage 2: Moves to Break-Even area once the price rises 12%. Stage 3: Tightens to a trailing stop (8%) after 25% profit. Stage 4: Maximizes gains with a tight trailing stop (5%) during parabolic moves (>40% profit). Visual Guide: SMAs: 25/50/100/200 period lines for trend visualization. Red Background: Indicates the "Crisis Regime" where trading is halted due to broad market weakness. Blue Background: Indicates a "Recovery Phase" (Crisis is active, but market is above SMA 200). Red Line: Shows the dynamic Stop Loss level for active positions. Settings: All parameters (SMA lengths, Drawdown threshold, Risk Stages) are fully customizable. The QQQ benchmark ticker can also be changed to SPY or other indices depending on the asset class traded.
Pine Script® Strategie
von oppliger79
Dynamic SMA Trend System [Multi-Stage Risk Engine]Description: This script implements a robust Trend Following strategy based on a multiple Simple Moving Average (SMA) crossover logic (25, 50, 100, 200). What sets this strategy apart is its advanced "4-Stage Risk Engine" and a smart "High-Water Mark" Re-Entry system, designed to protect profits during parabolic moves while filtering out chop during sideways markets. How it works: The strategy operates on three core pillars: Trend Identification, Dynamic Risk Management, and Momentum Re-Entry. 1. Entry Logic (Trend Identification) The script looks for crossovers at different trend stages to capture early reversals as well as established trends: Short-Term: SMA 25 crosses over SMA 50. Mid-Term: SMA 50 crosses over SMA 100. Macro-Trend: SMA 100 crosses over SMA 200. 2. The 4-Stage Risk Engine (Dynamic Stop Loss) Instead of a static Stop Loss, this strategy uses a progressive system that adapts as the price increases: Stage 1 (Protection): Starts with a fixed Stop Loss (default -10%) to give the trade room to breathe. Stage 2 (Break-Even): Once the price rises by 12%, the Stop is moved to trailing mode (10% distance), effectively securing a near break-even state. Stage 3 (Profit Locking): At 25% profit, the trailing stop tightens to 8% to lock in gains. Stage 4 (Parabolic Mode): At 40% profit, the trailing stop tightens further to 5% to capture the peak of parabolic moves. 3. Dual Exit Mechanism The strategy exits a position if EITHER of the following happens: Stop Loss Hit: Price falls below the dynamic red line (Risk Engine). Dead Cross: The trend structure breaks (e.g., SMA 25 crosses under SMA 50), signaling a momentum loss even if the Stop Loss wasn't hit. 4. "High-Water Mark" Re-Entry To avoid "whipsaws" in choppy markets, the script does not re-enter immediately after a stop-out. It marks the highest price of the previous trade (Green Dotted Line). A Re-Entry only occurs if the price breaks above this previous high (showing renewed strength) AND the long-term trend is bullish (Price > SMA 200). Visuals: SMAs: 25 (Yellow), 50 (Orange), 100 (Blue), 200 (White). Red Line: Visualizes the dynamic Stop Loss level. Green Dots: Visualizes the target price needed for a valid re-entry. Settings: All parameters (SMA lengths, Stop Loss percentages, Staging triggers) are fully customizable in the settings menu to fit different assets (Crypto, Stocks, Forex) and timeframes.
Pine Script® Strategie
von oppliger79
Viprasol Elite Flow Pro - Premium Order Flow & Trend System═══════════════════════════════════════════════════════════════ 🔥 VIPRASOL ELITE FLOW PRO Professional Order Flow & Trend Detection System ═══════════════════════════════════════════════════════════════ 📊 WHAT IS THIS INDICATOR? Viprasol Elite Flow Pro is a comprehensive trading system that combines institutional order flow analysis with adaptive trend detection. Unlike basic indicators, this tool identifies high-probability setups by analyzing where smart money is likely positioning, while filtering signals through multiple confirmation layers. This indicator is designed for traders who want to: ✓ Identify premium (supply) and discount (demand) zones automatically ✓ Detect trend direction with adaptive cloud technology ✓ Spot high-volume rejection points before major moves ✓ Filter low-quality signals with intelligent confirmation logic ✓ Track market strength in real-time via elite dashboard ═══════════════════════════════════════════════════════════════ 🎯 CORE FEATURES ═══════════════════════════════════════════════════════════════ 1️⃣ ELITE TREND ENGINE • Adaptive Moving Average system (Fast/Adaptive/Smooth modes) • Dynamic trend cloud that expands/contracts with volatility • Real-time trend state tracking (Bullish/Bearish/Ranging) • Trend strength meter (0-10 scale) • ATR-based volatility adjustments 2️⃣ ORDER FLOW DETECTION • Automatic Premium Zone (Supply) identification • Automatic Discount Zone (Demand) identification • Smart zone extension - zones remain valid until broken • Zone rejection detection with price action confirmation • Customizable zone strength (5-30 bars lookback) 3️⃣ VOLUME INTELLIGENCE • Volume spike detection (configurable threshold) • Climax bar identification (exhaustion signals) • Volume filter for signal validation • Institutional activity detection 4️⃣ SMART SIGNAL SYSTEM • 3 Signal Modes: Aggressive, Balanced, Conservative • Multi-layer confirmation logic • Automatic profit targets (2:1 risk-reward) • Stop loss suggestions based on ATR • Prevents overtrading with bars-since-signal filter 5️⃣ ELITE DASHBOARD (HUD) • Real-time trend direction and strength • Volume status monitoring • Active zones counter • Market volatility gauge • Current signal status • 4 positioning options, compact mode available 6️⃣ PREMIUM STYLING • 4 Professional color themes (Cyber/Gold/Ocean/Fire) • Adjustable transparency and label sizes • Clean, institutional-grade visuals • Optimized for all chart types ═══════════════════════════════════════════════════════════════ 📖 HOW TO USE THIS INDICATOR ═══════════════════════════════════════════════════════════════ STEP 1: TREND IDENTIFICATION → Green Cloud = Bullish trend - look for LONG opportunities → Red Cloud = Bearish trend - look for SHORT opportunities → Purple Cloud = Ranging - wait for breakout or fade extremes STEP 2: ZONE ANALYSIS → PREMIUM (Red) zones = Potential resistance/supply areas → DISCOUNT (Green) zones = Potential support/demand areas → Price rejecting from zones = high-probability setups STEP 3: SIGNAL CONFIRMATION → Wait for "LONG" or "SHORT" labels to appear → Check dashboard for trend strength (Moderate/Strong preferred) → Confirm volume status is "HIGH" or "CLIMAX" → Entry: Enter when label appears → Stop Loss: Use dotted line (1 ATR away) → Take Profit: Use dashed line (2 ATR away) STEP 4: RISK MANAGEMENT → Never risk more than 1-2% per trade → Use the provided stop loss levels → Trail stops as price moves in your favor → Avoid trading during low volatility periods ═══════════════════════════════════════════════════════════════ ⚙️ RECOMMENDED SETTINGS ═══════════════════════════════════════════════════════════════ FOR SCALPING (1M - 5M): - Trend Type: Fast - Sensitivity: 15 - Signal Mode: Aggressive - Zone Strength: 8 FOR DAY TRADING (15M - 1H): - Trend Type: Adaptive - Sensitivity: 21 (default) - Signal Mode: Balanced - Zone Strength: 12 (default) FOR SWING TRADING (4H - Daily): - Trend Type: Smooth - Sensitivity: 34 - Signal Mode: Conservative - Zone Strength: 20 BEST MARKETS: ✓ Crypto (BTC, ETH, major altcoins) ✓ Forex (Major pairs: EUR/USD, GBP/USD) ✓ Indices (S&P 500, NASDAQ, DAX) ✓ High-liquidity stocks ═══════════════════════════════════════════════════════════════ 🎓 UNDERSTANDING THE METHODOLOGY ═══════════════════════════════════════════════════════════════ This indicator is built on three core concepts: 1. ORDER FLOW THEORY Markets move between premium (expensive) and discount (cheap) zones. Smart money accumulates in discount zones and distributes in premium zones. This indicator identifies these zones automatically. 2. ADAPTIVE TREND FOLLOWING Unlike fixed-period moving averages, the Elite Trend Engine adjusts to current market volatility, providing more accurate trend signals in both trending and ranging conditions. 3. CONFLUENCE-BASED ENTRIES Signals only trigger when multiple conditions align: - Price in correct zone (premium for shorts, discount for longs) - Trend confirmation (cloud color matches direction) - Volume validation (spike or climax present) - Price action strength (strong rejection candles) This multi-layer approach dramatically reduces false signals. ═══════════════════════════════════════════════════════════════ 🔔 ALERT SETUP ═══════════════════════════════════════════════════════════════ This indicator includes 5 alert types: 1. Long Signal → Triggers when buy conditions met 2. Short Signal → Triggers when sell conditions met 3. Volume Climax → Warns of pot
Pine Script® Indikator
von viprasol
2
Trendshift [CHE] StrategyTrendshift Strategy — First-Shift Structural Regime Trading Profitfactor 2,603 Summary Trendshift Strategy implements a structural regime-shift trading model built around the earliest confirmed change in directional structure. It identifies major swing highs and lows, validates breakouts through optional ATR-based conviction, and reacts only to the first confirmed shift in each direction. After a regime reversal, the strategy constructs a premium and discount band between the breakout candle and the previous opposite swing. This band is used as contextual bias and may optionally inform stop placement and position sizing. The strategy focuses on clear, interpretable structural events rather than continuous signal generation. By limiting entries to the first valid shift, it reduces false recycles and allows the structural state to stabilize before a new trade occurs. All signals operate on closed-bar logic, and the strategy avoids higher-timeframe calls to stabilize execution behavior. Motivation: Why this design? Many structure-based systems repeatedly trigger as price fluctuates around prior highs and lows. This often leads to multiple flips during volatile or choppy conditions. Trendshift Strategy addresses this problem by restricting execution to the first confirmed structural event in each direction. ATR-based filters help differentiate genuine structural breaks from noise, while the contextual band ensures that the breakout is meaningful in relation to recent volatility. The design aims to represent a minimalistic structural trading framework focused on regime turns rather than continuous trend signaling. This reduces chart noise and clarifies where the market transitions from one regime to another. What’s different vs. standard approaches? Baseline reference Typical swing-based structure indicators report every break above or below recent swing points. Architecture differences First-shift-only regime logic that blocks repeated signals until direction reverses ATR-filtered validation to avoid weak or momentum-less breaks Premium and discount bands derived from breakout structure Optional band-driven stop placement Optional band-dependent position-sizing factor Regime timeout system to neutralize structure after extended inactivity Persistent-state architecture to prevent re-triggering Practical effect Only the earliest actionable structure change is traded Fewer but higher-quality signals Premium/discount tint assists contextual evaluation Stops and sizing can be aligned with structural context rather than arbitrary volatility measures Improved chart interpretability due to reduced marker frequency How it works (technical) The algorithm evaluates symmetric swing points using a fixed bar window. When a swing forms, its value and bar index are stored as persistent state. A structural shift occurs when price closes beyond the most recent major swing on the opposite side. If ATR filtering is enabled, the breakout must exceed a volatility-scaled distance to prevent micro-breaks from firing. Once a valid shift is confirmed, the regime is updated to bullish or bearish. The script records the breakout level, the opposite swing, and derives a band between them. This band is checked for minimum size relative to ATR to avoid unrealistic contexts. The first shift in a new direction generates both the strategy entry and a visual marker. Additional shifts in the same direction are suppressed until a reversal occurs. If a timeout is enabled, the regime resets after a specified number of bars without structural change, optionally clearing the band. Stop placement, if enabled, uses either the opposite or same band edge depending on configuration. Position size is computed from account percentage and may optionally scale with the price-span-to-ATR relationship. Parameter Guide Market Structure Swing length (default 5): Controls swing sensitivity. Lower values increase responsiveness. Use ATR filter (default true): Requires breakouts to show momentum relative to ATR. Reduces false shifts. ATR length (default 14): Volatility estimation for breakout and band validation. Break ATR multiplier (default 1.0): Required breakout strength relative to ATR. Premium/Discount Framework Enable framework (default true): Activates premium/discount evaluation. Persist band on timeout (default true): Keeps structural band after timeout. Min band ATR mult (default 0.5): Rejects narrow bands. Regime timeout bars (default 500): Neutralizes regime after inactivity. Invert colors (default false): Color scheme toggle. Visuals Show zone tint (default true): Background shade in premium or discount region. Show shift markers (default true): Display first-shift markers. Execution and Risk Risk per trade percent (default 1.0): Determines position size as account percentage. Use band for size (default false): Scales size relative to band width behavior. Flat on opposite shift (default true): Forces reversal behavior. Use stop at band (default false): Stop anchored to band edges. Stop band side: Chooses which band edge is used for stop generation. Reading & Interpretation A green background indicates discount conditions within the structural band; red indicates premium conditions. A green triangle below price marks the first bullish structural shift after a bearish regime. A red triangle above price marks the first bearish structural shift after a bullish regime. When stops are active, the opposite band edge typically defines the protective level. Band width relative to ATR indicates how significant a structural change is: wider bands imply stronger volatility structure, while narrow bands may be suppressed by the minimum-size filter. Practical Workflows & Combinations Trend following: Use first-shift entries as initial regime confirmation. Add higher-timeframe trend filters for additional context. Swing trading: Combine with simple liquidity or fair-value-gap concepts to refine entries. Bias mapping: Use higher timeframes for structural regime and lower timeframes for execution within the premium/discount context. Exit management: When using stops, consider ATR-scaling or multi-stage profit targets. When not using stops, reversals become the primary exit. Behavior, Constraints & Performance The strategy uses only confirmed swings and closed-bar logic, avoiding intrabar repaint. Pivot-based swings inherently appear after the pivot window completes, which is standard behavior. No higher-timeframe calls are used, preventing HTF-related repaint issues. Persistent variables track regime and structural levels, minimizing recomputation. The maximum bars back setting is five-thousand. The design avoids loops and arrays, keeping performance stable. Known limitations include limited signal density during consolidations, delayed swing confirmation, and sensitivity to extreme gaps that stretch band logic. ATR filtering mitigates some of these effects but does not eliminate them entirely. Sensible Defaults & Quick Tuning Fewer but stronger entries: Increase swing length or ATR breakout multiplier. More responsive entries: Reduce swing length to capture earlier shifts. More active band behavior: Lower the minimum band ATR threshold. Stricter stop logic: Use the opposite band edge for stop placement. Volatile markets: Increase ATR length slightly to stabilize behavior. What this indicator is—and isn’t Trendshift Strategy is a structural-regime trading engine that evaluates major directional shifts. It is not a complete trading system and does not include take-profit logic or prediction features. It does not attempt to forecast future price movement and should be used alongside broader market structure, volatility context, and disciplined risk management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® Strategie
von chervolino
Trendshift [CHE]Trendshift — First-Shift Regime Turns with Premium/Discount Context Summary Trendshift highlights the first confirmed directional structure shift in price and overlays a premium or discount context based on the most recent structural range. It identifies the major swing levels, detects a regime transition when price closes beyond these levels with optional ATR-based conviction, and marks only the first shift per direction to reduce repetition and noise. The indicator then establishes a premium or discount band around the break and tints the background when price operates in either region. This produces a clean regime-aware view that emphasizes only the earliest actionable turn while maintaining contextual bias information. Motivation: Why this design? Conventional swing-based structure tools often fire repeated signals after each minor break, especially in volatile environments. This leads to cluttered charts and little informational value. Trendshift focuses on the core trading need: isolating the first confirmed change in directional structure and providing a premium or discount context after the break. By limiting signals to the initial flip and suppressing further markers until direction reverses again, the script reduces noise and highlights only the structural event that materially matters. The band logic further addresses the challenge of distinguishing contextual extremes and avoiding trades taken too late after a shift. What’s different vs. standard approaches? Baseline reference: Most structure indicators repeatedly plot every new break of a swing high or swing low. Differences: Only the first confirmed bullish or bearish shift is plotted until the opposite direction occurs. ATR-filtered breakout validation to reduce false breaks during volatility spikes. A reduced premium and discount band derived from the breakout candle and prior swing structure. Tinted background for contextual positioning rather than explicit entry signals. Practical effect: Fewer but more meaningful shift markers. Clear visual context of where price operates relative to the structural band. Cleaner regime transitions and less chart clutter. How it works (technical) The indicator continuously evaluates major swing highs and lows using a symmetric window length. When a swing is confirmed, the script stores its price and bar index. A structure shift occurs when price closes beyond the most recent major swing in the opposite direction. Optional ATR filtering requires the breakout distance to exceed an ATR-scaled threshold. Upon a confirmed shift, the script sets a regime state that remains active until a new shift or an optional timeout. It also establishes a structural band anchored between the breakout candle extremum and the prior opposite swing. The band informs the premium and discount boundaries, each representing a quarter subdivision. Only the first shift event per direction generates a visual triangle marker. The band is validated by comparing its height to ATR to avoid extremely narrow structures. Background tinting activates whenever price resides within the premium or discount zones. Persistent variables maintain previous structural states and prevent re-triggering until direction reverses. Parameter Guide Swing length (default 5): Controls the number of bars used on each side of a swing. Smaller values are more reactive; larger values reduce noise. Use ATR filter (default true): Requires breakout strength beyond the swing to exceed an ATR-scaled threshold. Disabling increases signal frequency. ATR length (default 14): Controls volatility estimation for breakout filtering and band validation. Break ATR multiplier (default 1.0): Higher values require stronger breakouts, reducing false shifts. Enable framework (default true): Activates the premium and discount context logic. Persist band on timeout (default true): Retains the current band after a regime timeout. Min band size ATR mult (default 0.5): Rejects extremely small bands and prevents unrealistic tinting. Regime timeout bars (default 500): Resets the regime after extended inactivity. Invert colors (default false): Swaps premium and discount tint color assignments. Show zone tint (default true): Toggles background shading. Show shift markers (default true): Enables or disables the first-shift triangles. Reading & Interpretation A green or red tint signals that price is operating in the discount or premium region of the most recent structural band. These regions are derived from the breakout event and the prior swing. A green triangle below a bar indicates the first bullish structure shift after a bearish regime. A red triangle above a bar indicates the first bearish shift after a bullish regime. No further markers appear until direction reverses. When tint is active, price location within the band offers simple contextual bias without providing explicit entries. Practical Workflows & Combinations Trend following: Treat the first bullish marker as the earliest confirmation of a potential up-regime and the first bearish marker for a potential down-regime. Use price location relative to the premium and discount zones as context for continuation or mean-reversion setups. Structure-based execution: Combine with simple swing highs and lows to refine entry points within discount after a bullish shift or within premium after a bearish shift. Higher-timeframe overlays: Apply the indicator on higher timeframes to define macro structure, then trade on lower timeframes using the band as a contextual anchor. Risk management: When price stays in premium during a bearish regime or in discount during a bullish regime, consider protective actions or position management adjustments. Behavior, Constraints & Performance The script uses only confirmed swing points and closed-bar conditions, so repainting from future bars does not occur except the inherent delay of pivot confirmation. No higher-timeframe security calls are used, avoiding HTF repaint paths. Performance impact is minimal because the script uses no loops or arrays and relies on persistent variables. The maximum bars back setting is five-thousand, required for swing lookback. Known limitations include quiet behavior during long consolidations, occasional delayed recognition of shifts due to swing confirmation, and limited effectiveness during large market gaps where extremum logic may be distorted. Sensible Defaults & Quick Tunin g Increase the swing length for smoother trend shifts and fewer signals. Decrease the swing length for more sensitivity. Raise the ATR breakout multiplier to reduce noise in volatile markets. Lower the band size requirement to make premium and discount zones more active on slower markets. Extend the regime timeout for slow-moving assets. What this indicator is—and isn’t This tool is a structural regime-shift detector with contextual premium and discount shading. It is not a complete trading system and does not include entries, exits, or risk models. It does not predict future price movement. It should be combined with broader structure analysis, liquidity considerations, and risk management practices. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® Indikator
von chervolino
4
Regime MapRegime Map — Volatility State Detector This indicator is a PineScript friendly approximation of a more advanced Python regime-analysis engine. The original backed identifies market regimes using structural break detection, Hidden-Markov Models, wavelet decomposition, and long-horizon volatility clustering. Since Pine Script cannot execute these statistical models directly, this version implements a lightweight, real-time proxy using realised volatility and statistical thresholds. The purpose is to provide a clear visual map of evolving volatility conditions without requiring any heavy offline computation. ________________________________________ Mathematical Basis: Python vs Pine 1. Volatility Estimation Python (Realised Volatility): RVₜ = √N × stdev( log(Pₜ) − log(Pₜ₋₁) ) Pine Approximation: RVₜ = stdev( log(Pₜ) − log(Pₜ₋₁), lookback ) Rationale: Realised volatility captures volatility clustering — a key characteristic of regime transitions. ________________________________________ 2. Regime Classification Python (HMM Volatility States): Volatility is modelled as belonging to hidden states with different means and variances: State μ₁, σ₁ State μ₂, σ₂ State μ₃, σ₃ with state transitions determined by a probability matrix. Pine Approximation (Z-Score Regimes): Zₜ = ( RVₜ − mean(RV) ) / stdev(RV) Regime assignment: • Regime 0 (Low Vol): Zₜ < Zₗₒw • Regime 1 (Normal): Zₗₒw ≤ Zₜ ≤ Zₕᵢgh • Regime 2 (High Vol): Zₜ > Zₕᵢgh Rationale: Z-scores provide clean statistical boundaries that behave similarly to HMM state separation but are computable in real time. ________________________________________ 3. Structural Break Detection vs Rolling Windows Python (Bai–Perron Structural Breaks): Segments the volatility series into periods with distinct statistical properties by minimising squared error over multiple regimes. Pine Approximation: Rolling mean and rolling standard deviation of volatility over a long window. Rationale: When structural breaks are not available, long-window smoothing approximates slow regime changes effectively. ________________________________________ 4. Multi-Scale Cycles Python (Wavelet Decomposition): Volatility decomposed into long-cycle (A₄) and short-cycle components (D bands). Pine Approximation: Single-scale smoothing using long-horizon averages of RV. Rationale: Wavelets reveal multi-frequency behaviour; Pine captures the dominant low-frequency component. ________________________________________ Indicator Output The background colour reflects the active volatility regime: • Low Volatility (Green): trending behaviour, cleaner directional movement • Normal Volatility (Yellow): balanced environment • High Volatility (Red): sharp swings, traps, mean-reversion phases Regime labels appear on the chart, with a status panel displaying the current regime. ________________________________________ Operational Logic 1. Compute log returns 2. Calculate short-horizon realised volatility 3. Compute long-horizon mean and standard deviation 4. Derive volatility Z-score 5. Assign regime classification 6. Update background colour and labels This provides a stable, real-time map of market state transitions. ________________________________________ Practical Applications Intraday Trading • Low-volatility regimes favour trend and breakout continuation • High-volatility regimes favour mean reversion and wide stop placement Swing Trading • Compression phases often precede multi-day trending moves • Volatility expansions accompany distribution or panic events Risk Management • Enables volatility-adjusted position sizing • Helps avoid leverage during expansion regimes ________________________________________ Notes • Does not repaint • Fully configurable thresholds and lookbacks • Works across indices, stocks, FX, crypto • Designed for real-time volatility regime identification ________________________________________ Disclaimer This script is intended solely for educational and research purposes. It does not constitute financial advice or a recommendation to buy or sell any instrument. Trading involves risk, and past volatility patterns do not guarantee future outcomes. Users are responsible for their own trading decisions, and the author assumes no liability for financial loss.
Pine Script® Indikator
von NeuralMarkets
MA200 Deviation Percentile200-Day MA Deviation with Dynamic Thresholds OVERVIEW This indicator measures price deviation from the 200-day moving average as a percentage, with dynamically calculated overbought/oversold thresholds based on historical percentiles. Best suited for broad market indices (SPY, QQQ, IWM, etc.) where the 200-day MA serves as a reliable long-term trend indicator. Individual stocks may exhibit more erratic behavior around this level. CALCULATION Deviation (%) = (Close - 200MA) / 200MA x 100 Dynamic thresholds are derived from actual historical distribution rather than assuming normal distribution: - Overbought threshold = 97.5th percentile of historical deviations - Oversold threshold = 2.5th percentile of historical deviations SETTINGS MA Length (default: 200) Moving average period. Lookback Period (default: 1260) Historical window for threshold calculation. 1260 bars approximates 5 years of daily data. Threshold Percentile (default: 5%) Two-tailed threshold. 5% places overbought/oversold boundaries at the 97.5th and 2.5th percentiles respectively. INTERPRETATION Deviation Value - Positive: Price trading above 200MA - Negative: Price trading below 200MA - Magnitude indicates extent of deviation Percentile Ranking (0-100%) - Shows where current deviation ranks historically - Above 90%: Historically elevated - Below 10%: Historically depressed Dynamic Threshold Lines - Red line: Upper boundary based on historical distribution - Green line: Lower boundary based on historical distribution - These adapt automatically to each asset's volatility characteristics APPLICATION Mean Reversion Extreme deviations tend to normalize over time. When deviation exceeds dynamic thresholds, probability of mean reversion increases. Trend Assessment Sustained positive/negative deviation confirms trend direction. Zero-line crossovers may signal trend changes. NOTES - Optimized for daily timeframe on market indices - Requires sufficient historical data (minimum equal to lookback period) - Extreme readings do not guarantee immediate reversals - Use in conjunction with other analysis methods
Pine Script® Indikator
von Go3x3
DAILY - 3-Condition Arrows - Buy & SellVersion 1. On the DAILY time frame, this indicator will add a green BUY arrow to a stock price when the following 3 conditions are ALL true: BUY (all 3 conditions are true) 1. Stock price > 50 EMA 2. MACD line above moving average 3. Williams %R (Best_Solve version) is above moving average Conversely, a red SELL arrow will point out when the following 3 conditions are ALL true: SELL (all 3 conditions are true) 1. Stock price < 50 EMA 2. MACD line below moving average 3. Williams %R (Best_Solve version) is below the moving average
Pine Script® Indikator
von rodb_2025
1
Mean-Reversion with CooldownThis strategy requires no indicators or fundamental analysis. It is designed for longer-term positions and works especially well on unleveraged instruments with strong long-term upward trends, such as precious metals. Feel free to experiment with different timeframes — I’ve found that 1-hour charts work particularly well for cryptocurrencies. The idea is to filter out ongoing bear phases as effectively as possible and capitalize on long-term bull runs. The script implements an idea that came to me in a state of complete sleep deprivation: open a random long position with a fixed take-profit (TP) and a tight stop-loss (SL). If the TP is hit — great, we simply try again. If the SL is triggered — too bad, we pause for a while and then try again. ## Cooldown (Waiting) Mechanism The waiting mechanism is simple: the more consecutive SL hits we get, the longer we wait before opening the next trade. The waiting time is measured in closed candles, and thus depends on the timeframe you are using. ## Two cooldown calculation modes are currently supported: ### 1. FIBONACCI The cooldown follows the Fibonacci sequence, based on the number of consecutive losses: 1st loss → wait 1 bar 2nd loss → wait 1 bar 3rd loss → wait 2 or 3 bars (depending on definition) 4th loss → wait 3 or 5 bars etc. ### 2. POWER OF TWO The cooldown increases exponentially: 1st loss → wait 2 bars 2nd loss → wait 4 bars 3rd loss → wait 8 bars 4th loss → wait 16 bars and so on, using the formula 2ⁿ. ## Configurable Parameters ### Cooldown Pause Calculation The settings allow you to define the SL and TP as percentages of the position value. The "Cooldown Pause Calculation" option determines how the next cooldown duration is computed after a losing trade. The system keeps track of how many consecutive losses have occurred since the last profitable trade. That counter is then used to compute how many bars we must wait before opening the next position. ### Maximum Cooldown The "Max Cooldown Candles" setting defines the maximum number of bars we are allowed to wait before placing a new trade. This prevents the strategy from “locking itself out” for too long and mitigates the fear of missing out (FOMO). Once the cooldown duration reaches this maximum, the system essentially wraps around and starts the progression again. In the script, this is handled using a simple modulo operation based on the chosen maximum.
Pine Script® Strategie
von jannisMCMXCV
50, 100 & 200 Week MA (SMA/EMA Switch)Clean, multi-timeframe weekly moving average indicator displaying the classic 50, 100, and 200-week MAs directly on any chart timeframe. Features: True weekly calculations using request.security (accurate, no daily approximation) Switch between SMA and EMA with one click Individually toggle each MA (50w orange, 100w purple, 200w blue) Perfect for long-term trend analysis, golden/death crosses, and institutional-level support/resistance Ideal for swing traders, investors, and anyone tracking major market cycles. Lightweight and repaints-free.
Pine Script® Indikator
von Cryptonologic