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Sequential Exhaustion 9/13 [Crypto Filter] - PyraTimeConcept: The Exhaustion Meter This indicator is a customized version of the Sequential count, a powerful tool used by institutional traders to measure buyer and seller exhaustion. It looks for a sequence of 9 (Setup) or 13 (Countdown) consecutive candles that satisfy specific price criteria. The purpose is simple: To tell you when a trend has run out of fuel. Key Differentiators (The Value) Due to the high volatility of the crypto market, standard Sequential indicators print too many false signals ("13s") during a strong trend. This custom version solves that problem with two core filters: 1. Trend Filter (EMA 200): If enabled, the indicator will automatically hide all Sell signals when the price is above the 200 EMA, protecting the user from shorting an uptrend (and vice-versa). 2. Color Confirmation: It will not print a signal unless the closing candle color matches the direction (e.g., no Red 13 sell signals on Green Candles). This drastically cleans up the chart. Understanding the Numbers The numbers appearing above and below the candles are your exhaustion meter. * The "9" (Setup): Indicates a short-term trend is nearing exhaustion. * The "13" (Countdown): Indicates the trend is statistically complete and a reversal is highly probable. The Actionable Strategy (The PyraTime Rule) This indicator is designed to be your Exit Tool. Use it to determine when to take profit from an existing trade. * Example: You enter Long at the GPM Time Line. When the PyraTD prints a Red 9 or Red 13, you take profit immediately. Final Note Use the integrated visibility settings to turn off signals (e.g., hide 9s or Sells) to customize the view to your preferred trading style. Disclaimer: This tool measures mathematical exhaustion and is part of the PyraTime system. It is not financial advice.
Pine Script® indicator
by PyraTime
Bitcoin Power Law Deviation Z-ScoreIntroduction While standard price charts show Bitcoin's exponential growth, it can be difficult to gauge exactly how "overheated" or "cheap" the asset is relative to its historical trend. This indicator strips away the price action to visualize pure Deviation. It compares the current price to the Bitcoin Power Law "Fair Value" model and plots the result as a normalized Z-Score. This creates a clean oscillator that makes it easy to identify historical cycle tops and bottoms without the noise of a log-scale chart. How to Read This Indicator The oscillator centers around a zero-line, which represents the mathematical "Fair Value" of the network. 0.0 (Center Line): Price is exactly at the Power Law fair value. Positive Values (+1 to +5): Price is trading at a premium. Historically, values above 4.0 have coincided with cycle peaks (Red Zones). Negative Values (-1 to -3): Price is trading at a discount. Historically, values below -1.0 have been excellent accumulation zones (Green/Blue Zones). The Math Behind the Model This script uses the same physics-based Power Law parameters as the popular overlay charts: Formula: Price = A * (days since genesis)^b Slope (b): 5.78 Amplitude (A): 1.45 x 10^-17 The "Z-Score" is calculated by taking the logarithmic difference between the actual price and the model price, divided by a standard scaling factor (0.18 log steps). How to Use Cycle Analysis: Use this tool to spot macro-extremes. Unlike RSI or MACD which reset frequently, this oscillator provides a multi-year view of market sentiment. Confluence: This tool works best when paired with the main "Power Law Rainbow" chart overlay to confirm whether price is hitting major resistance or support bands. Credits Based on the Power Law theory by Giovanni Santostasi and Corridor concepts by Harold Christopher Burger . Disclaimer This tool is for educational purposes only. Past performance of a model is not indicative of future results. Not financial advice.
Pine Script® indicator
by dunk-devs
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
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® indicator
by 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® indicator
by 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® indicator
by Menash100
1
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® indicator
by viprasol
2
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® indicator
by 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® indicator
by 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® indicator
by 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® indicator
by rodb_2025
2
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® indicator
by Cryptonologic
Cycle Forecast + MACD Divergence (Kombi v6 FULL)This indicator merges two powerful analytical models: 🔮 1. Dominant Cycle Forecasting The script automatically identifies major structural market cycles by detecting significant swing highs and lows. It then fits a sinusoidal wave (amplitude, phase, and period) to the dominant cycle and projects it into the future. Features: Automatically extracts large, dominant cycles (no noise, no small swings) Smooth sinusoidal historical cycle visualization Future cycle projection for 1–2 upcoming cycle periods Dynamic amplitude and phase alignment based on market structure Helps anticipate cycle tops and bottoms for long-term timing 📉 2. MACD Divergence Detection Full divergence detection engine using MACD or MACD Histogram. Detects: Bullish Divergence Price ↓ while MACD (or Histogram) ↑ → Possible trend reversal upward Bearish Divergence Price ↑ while MACD (or Histogram) ↓ → Possible trend reversal downward Features: Pivot-based divergence confirmation (no repaint) Choice of MACD Line or Histogram as divergence source Labels + connecting divergence lines Works across all markets and timeframes ⚙️ Smart Auto-Pivot System The indicator optionally adjusts pivot sensitivity based on timeframe: Weekly → tighter pivots Daily → medium pivots Intraday → wider pivots Ensures stable, meaningful divergence signals even on higher timeframes. 🎯 Use cases Identify upcoming cycle highs/lows Spot major trend reversals early Improve swing entries with MACD divergences near cycle turns Combine forecasting with momentum exhaustion Suitable for crypto, stocks, indices, forex & commodities 🧠 Why this indicator is powerful This tool blends time-based cycle forecasting with momentum-based divergence signals, giving you a unique perspective of where the market is likely to turn. Cycles reveal when a move may occur. Divergences reveal why a move may occur. Combined, they offer highly effective market timing.
Pine Script® indicator
by PythonWay
Z-EMA Fusion BandsDesigned with crypto markets in mind, particularly Bitcoin , it builds on the concept that the 1-Week 50 EMA often serves as a long-term bull/bear market threshold — an area where institutional bias, momentum shifts, and cyclical rotations tend to occur. 🔹 Core Components & Synergies: 1. 1W 50 EMA (Higher Timeframe) - This EMA is calculated on a weekly timeframe, regardless of your current chart. - In crypto, price above the 1W 50 EMA typically aligns with long-term bull market phases, while extended periods below can signify bearish macro structure. - The slope of the EMA is also analyzed to add directional confidence to trend strength. 2. ±1 Standard Deviation Bands - Surrounding the 50 EMA, these bands visualize normal price dispersion relative to trend. - When price consistently hugs or breaks outside these bands, it often reflects market expansion, volatility events, or mean-reversion opportunity. 3. Z-Score Gradient Fill - The area between the bands is filled using a Z-score-based gradient, which dynamically adjusts color based on how far price is from the EMA (in terms of standard deviations). - Color shifts from aqua (near EMA) to fuchsia (far from EMA) help you spot price compression, equilibrium, or overextension at a glance. - The fill also uses transparency scaling, making it fade as price stretches further, emphasizing the core structure. 4. Directional EMA Coloring - The EMA line itself is colored based on: - The slope of the EMA (rising/falling) - Whether the HTF candle is bullish or bearish - This provides intuitive color-coded confirmation of momentum alignment or potential exhaustion. 5. Price/EMA Divergence Detection - The script detects bullish and bearish divergence between price and the EMA (rather than using a traditional oscillator). - Bullish Divergence: Price makes a lower low, EMA makes a higher low. - Bearish Divergence: Price makes a higher high, EMA makes a lower high. - These signals often mark transitional zones where momentum fades before a trend reversal or correction. 📊 Suggested Uses: 🔸 Swing and Position Trading: - Use the 1W 50 EMA as a macro-trend anchor. - Stay long-biased when price is above with positive slope, and short-biased when below. - Consider entries near band edges for mean-reversion plays, especially if confluence forms with divergence signals. 🔸 Volatility-Based Filtering: - Use the Z-score fill to identify volatility compression (near EMA) or expansion (edge of bands). - Combine this with breakout strategies or dynamic position sizing. 🔸 Divergence Confirmation: - Combine divergence markers with HTF EMA slope for high-probability setups. - Bullish div + EMA flattening/rising can signal the start of accumulation after a macro dip. 🔸 Multi-Timeframe Analysis: - Works well as a structural overlay on intraday charts (1H, 4H, 1D). - Use this indicator to track long-term bias while executing lower timeframe trades. ⚠️ Disclaimer: This indicator is designed for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Always use proper risk management, and combine with your own analysis, tools, and strategy. Performance in past market conditions does not guarantee future results.
Pine Script® indicator
by RWCS_LTD
Kaufman Adaptive Moving Average + ART**Kaufman Adaptive Moving Average (fixed TF) + ATR Volatility Bands** This script is a Pine Script v5 extension of the original *Kaufman Adaptive Moving Average* by Alex Orekhov (everget). It adds: * a **fixed timeframe option** for KAMA * a separate **ATR panel under the chart** * **configurable ATR volatility levels** with dynamic coloring. KAMA adapts its smoothing to market conditions: it speeds up in strong trends and slows down in choppy phases. Here, KAMA can be calculated on any timeframe (e.g. 1D) and overlaid on a lower-timeframe chart (e.g. 1H), so you can track higher-TF trend structure while trading intraday. The ATR panel visualizes volatility in the same or a separate timeframe and highlights phases of high/low volatility based on user-defined thresholds. --- ### Features **KAMA (on chart)** * Standard KAMA parameters: `Length`, `Fast EMA Length`, `Slow EMA Length`, `Source` * Input: **KAMA Timeframe** * empty → uses chart timeframe * any value (e.g. `60`, `240`, `D`, `W`) → calculates KAMA on that fixed TF and maps it to the chart * Color-changing KAMA line: * **green** when the selected-TF KAMA is rising * **red** when it is falling * Optional *Await Bar Confirmation* to avoid reacting to still-forming bars * Built-in alert when the KAMA color changes (potential trend shift). **ATR panel (separate window under the chart)** * Own inputs: `Show ATR`, `ATR Length` * **ATR Timeframe** input: * empty → ATR uses the same TF as KAMA * custom value → fully independent ATR timeframe * Two user-defined volatility levels: * `ATR High Vol Level` – threshold for **high volatility** * `ATR Low Vol Level` – threshold for **low volatility** * ATR line coloring: * **red** when ATR > High Vol Level (high volatility regime) * **green** when ATR < Low Vol Level (quiet market) * **blue** in the normal range between the two levels. --- ### How to use 1. Add the script to your chart. 2. Choose a **KAMA Timeframe** (leave empty for chart TF, or set to a higher TF for multi-timeframe trend following). 3. Optionally set a different **ATR Timeframe** to monitor volatility on yet another TF. 4. Adjust `ATR High Vol Level` and `ATR Low Vol Level` to match the instrument and timeframe you trade. 5. Use: * the **KAMA color changes** as trend / regime signals, and * the **ATR colors & levels** to quickly see whether you’re trading in a low-, normal- or high-volatility environment. This combination is designed to keep the chart itself clean (only KAMA on price) while giving you a dedicated volatility dashboard directly underneath.
Pine Script® indicator
by p_zerbst
Session Markers - JDK AnalysisSession Markers is a tool designed to study how markets behave during specific, recurring time windows. Many traders know that price behaves differently depending on the day of the week, the time of the day, or particular market sessions such as the weekly open, the London session, or the New York open. This indicator makes those recurring windows visible on the chart and then analyzes what price typically does inside them. The result is a clear statistical understanding of how a chosen session behaves, both in direction and in strength. The script works by allowing the trader to define any time window using a start day and time and an end day and time. Every time this window occurs on the chart, the indicator highlights it with a full-height vertical band. These visual markers reveal patterns that are otherwise difficult to detect manually, such as whether certain sessions tend to trend, reverse, consolidate, or create large imbalances. They also help the trader quickly scan through historical price action to see how the market has behaved under similar conditions. For every completed session window, the indicator measures how much price changed from the moment the window began to the moment it ended. Instead of using raw price differences, it converts these changes into percentage moves. This makes the measurement consistent across different price ranges and market regimes. A one-percent move always has the same meaning, whether the asset is trading at 100 or 50,000. These percentage moves are collected for a user-selected number of past sessions, creating a dataset of how the market has behaved in the chosen time window. Based on this dataset, the indicator generates several statistics. It counts how many past sessions closed higher and how many closed lower, producing a directional tendency. It also computes the probability of an upward session by dividing the number of positive sessions by the total. More importantly, it calculates the average percentage movement for all sessions in the lookback period. This average move reflects not just the direction but also the magnitude of price changes. A session with frequent small upward moves but occasional large downward moves will show a negative average movement, even if more sessions ended positive. This creates a more realistic representation of true market behavior. Using this average movement, the script determines a “Bias” for the session. If the average percentage move is positive, the bias is considered bullish. If it is negative, the bias is bearish. If the values are very close to zero, the bias is neutral. This way, the indicator takes both frequency and impact into account, producing a magnitude-aware assessment instead of one that only counts wins and losses. A sequence such as +5%, –1% results in a bullish bias because the overall impact is strongly positive. On the other hand, a series of small gains followed by a large drop produces a bearish bias even if more sessions ended positive, because the large move dominates the average. This provides a far more truthful picture of what the market tends to do during the chosen window. All relevant statistics are displayed neatly in a small panel in the top-right corner of the chart. The panel updates in real time as new sessions complete and older ones fall out of the lookback range. It shows how many sessions were analyzed, how many ended up or down, the probability of an upward move, the average percentage change, and the final bias. The background color of the panel instantly reflects that bias, making it easy to interpret at a glance. To use the tool effectively, the trader simply needs to define a time window of interest. This could be something like the weekly opening window from Sunday to Monday, the London open each day, or even a unique custom window. After selecting how many past sessions to analyze, the indicator takes care of the rest. The vertical session markers reveal the structure visually. The statistics summarize the historical behavior objectively. The magnitude-weighted bias provides a realistic indication of whether the window tends to produce upward or downward movement on average. Session Markers is helpful because it translates repeated market timing behavior into measurable data. It exposes hidden tendencies that are easy to feel intuitively but hard to quantify manually. By analyzing both direction and magnitude, it prevents misleading interpretations that can arise from looking only at win rates. It helps traders understand whether a session typically produces meaningful moves or just small noise, whether it tends to trend or reverse, and whether its behavior has recently changed. Whether used for bias building, session filtering, or deeper market research, it offers a structured framework for understanding the market through time-based patterns.
Pine Script® indicator
by JDK-Analysis