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ICT Candle Reading PROICT Candle Reading – Visual Clean This indicator is designed to provide a clean and precise price reading, based on ICT and Smart Money Concepts, without cluttering the chart. Its purpose is to help traders identify real institutional zones, understand market intention, and improve entry timing, using pure price action. 🔹 What does this indicator show? 🟢 Fair Value Gaps (FVG / Imbalances) Detects market inefficiencies created by impulsive moves. Displayed as clean and minimal boxes extended into the future. Useful as mitigation, reaction, or continuation zones. 🟠 Liquidity Sweeps Highlights liquidity grabs above recent highs or below recent lows. Drawn using dashed horizontal lines. Helps identify market manipulation before the true move. 🔵 Displacement Candles Identifies candles with dominant bodies, showing institutional momentum. Marked with small symbols to keep the chart clean. Useful to confirm impulse starts or shifts in market intent. 🎯 Indicator Philosophy ❌ No lagging indicators ❌ No chart clutter ✅ Real ICT concepts ✅ Clean candle reading ✅ Suitable for scalping, intraday, and swing trading ⚙️ Customization Each concept can be enabled or disabled individually. Zone extension length is adjustable. Optimized for 15M, 1H, and 4H timeframes. 📈 How to use This indicator does not provide automatic buy/sell signals. It is best used with: Higher timeframe bias Market structure Session timing (London / New York) Proper risk management 🧠 Final Notes ICT Candle Reading – Visual Clean helps you see the market from an institutional perspective, focusing only on what truly matters: price, liquidity, and intent.
Pine Script® 인디케이터
Alxymarketfx의
Magical Thirteen Turns - The Greedy SnakeThe number 9 appears: Meaning: Warning signal. The rise may encounter resistance and a cautious pullback is about to begin. Operation: Consider reducing your holdings (selling a portion) to lock in profits and avoid experiencing wild fluctuations. The number 13 appears: Meaning: Strong sell signal. The upward momentum is likely to be exhausted, which is also known as "bull exhaustion". Operation: It is recommended to liquidate your positions or significantly reduce them. Short sell (if you are trading contracts).
Pine Script® 인디케이터
JZ1999의
VEGA (Velocity of Efficient Gain Adaptation)VEGA (Velocity of Efficient Gain Adaptation) VEGA is a momentum oscillator that measures the velocity of an efficiency-weighted adaptive moving average. Unlike traditional momentum indicators that react uniformly to all price movements, VEGA intelligently adapts its sensitivity based on market conditions—responding quickly during trending periods and filtering noise during consolidation. -------------------------------- What Makes VEGA Different Efficiency-Driven Adaptation At its core, VEGA uses the Efficiency Ratio (ER) to distinguish between trending and choppy markets. When price moves efficiently in one direction, VEGA's underlying adaptive MA speeds up to capture the move. When price chops sideways, it slows down to avoid whipsaws. This creates a momentum reading that's inherently cleaner than fixed-period alternatives. Linear Regression Smoothed Source VEGA offers an optional LinReg-smoothed price source that blends regular candles with linear regression values. This pre-smoothing reduces noise before it ever enters the calculation, resulting in a histogram that's easier to read without sacrificing responsiveness. The mix ratio lets you dial in exactly how much smoothing you want. Z-Score Normalization with Dead Zone Rather than arbitrary oscillator bounds, VEGA normalizes output as standard deviations from the mean. This gives statistically meaningful levels: readings above +2σ or below -2σ represent genuinely extreme momentum. The configurable dead zone (with Snap, Soft Fade, or None modes) filters out insignificant movements near zero, keeping you focused on signals that matter. -------------------------------- How It Works 1. Source Preparation — Price is smoothed via a LinReg/regular candle blend 2. Efficiency Ratio — Measures directional movement vs total movement over the lookback period 3. Adaptive MA — Applies variable smoothing based on efficiency (fast during trends, slow during chop) 4. Velocity — Calculates the rate of change of the adaptive MA 5. Normalization — Converts to Z-Score (standard deviations) or ATR-normalized percentage 6. Dead Zone — Optionally filters near-zero values to reduce noise -------------------------------- How To Read VEGA Signal and Interpretation Histogram above zero | Bullish momentum Histogram below zero | Bearish momentum Bright color | Momentum accelerating Faded color | Momentum decelerating Beyond ±1σ bands | Above-average momentum Beyond ±2σ bands | Extreme momentum (potential reversal zone) Zero line cross*| Momentum shift -------------------------------- Key Settings ER Length — Lookback for efficiency ratio calculation. Higher = smoother, slower adaptation. Fast/Slow Smoothing — Controls the adaptive MA's responsiveness range. The MA blends between these based on efficiency. LinReg Settings — Enable smoothed candles and adjust the blend ratio (0 = regular candles, 1 = full LinReg, 0.5 = 50/50 mix). Z-Score Lookback — Period for calculating mean and standard deviation. Shorter = more reactive normalization. Dead Zone Type — How to handle near-zero values: Snap — Hard cutoff to zero Soft Fade — Gradual reduction toward zero None — No filtering Dead Zone Threshold — Values within this Z-Score range are affected by the dead zone setting. VEGA works on any timeframe and any market. For best results, adjust the ER Length and LinReg settings to match your trading style and the volatility characteristics of your instrument.
Pine Script® 인디케이터
B3AR_Trades의
Volatility Targeting: Single Asset [BackQuant]Volatility Targeting: Single Asset An educational example that demonstrates how volatility targeting can scale exposure up or down on one symbol, then applies a simple EMA cross for long or short direction and a higher timeframe style regime filter to gate risk. It builds a synthetic equity curve and compares it to buy and hold and a benchmark. Important disclaimer This script is a concept and education example only . It is not a complete trading system and it is not meant for live execution. It does not model many real world constraints, and its equity curve is only a simplified simulation. If you want to trade any idea like this, you need a proper strategy() implementation, realistic execution assumptions, and robust backtesting with out of sample validation. Single asset vs the full portfolio concept This indicator is the single asset, long short version of the broader volatility targeted momentum portfolio concept. The original multi asset concept and full portfolio implementation is here: That portfolio script is about allocating across multiple assets with a portfolio view. This script is intentionally simpler and focuses on one symbol so you can clearly see how volatility targeting behaves, how the scaling interacts with trend direction, and what an equity curve comparison looks like. What this indicator is trying to demonstrate Volatility targeting is a risk scaling framework. The core idea is simple: If realized volatility is low relative to a target, you can scale position size up so the strategy behaves like it has a stable risk budget. If realized volatility is high relative to a target, you scale down to avoid getting blown around by the market. Instead of always being 1x long or 1x short, exposure becomes dynamic. This is often used in risk parity style systems, trend following overlays, and volatility controlled products. This script combines that risk scaling with a simple trend direction model: Fast and slow EMA cross determines whether the strategy is long or short. A second, longer EMA cross acts as a regime filter that decides whether the system is ACTIVE or effectively in CASH. An equity curve is built from the scaled returns so you can visualize how the framework behaves across regimes. How the logic works step by step 1) Returns and simple momentum The script uses log returns for the base return stream: ret = log(price / price ) It also computes a simple momentum value: mom = price / price - 1 In this version, momentum is mainly informational since the directional signal is the EMA cross. The lookback input is shared with volatility estimation to keep the concept compact. 2) Realized volatility estimation Realized volatility is estimated as the standard deviation of returns over the lookback window, then annualized: vol = stdev(ret, lookback) * sqrt(tradingdays) The Trading Days/Year input controls annualization: 252 is typical for traditional markets. 365 is typical for crypto since it trades daily. 3) Volatility targeting multiplier Once realized vol is estimated, the script computes a scaling factor that tries to push realized volatility toward the target: volMult = targetVol / vol This is then clamped into a reasonable range: Minimum 0.1 so exposure never goes to zero just because vol spikes. Maximum 5.0 so exposure is not allowed to lever infinitely during ultra low volatility periods. This clamp is one of the most important “sanity rails” in any volatility targeted system. Without it, very low volatility regimes can create unrealistic leverage. 4) Scaled return stream The per bar return used for the equity curve is the raw return multiplied by the volatility multiplier: sr = ret * volMult Think of this as the return you would have earned if you scaled exposure to match the volatility budget. 5) Long short direction via EMA cross Direction is determined by a fast and slow EMA cross on price: If fast EMA is above slow EMA, direction is long. If fast EMA is below slow EMA, direction is short. This produces dir as either +1 or -1. The scaled return stream is then signed by direction: avgRet = dir * sr So the strategy return is volatility targeted and directionally flipped depending on trend. 6) Regime filter: ACTIVE vs CASH A second EMA pair acts as a top level regime filter: If fast regime EMA is above slow regime EMA, the system is ACTIVE. If fast regime EMA is below slow regime EMA, the system is considered CASH, meaning it does not compound equity. This is designed to reduce participation in long bear phases or low quality environments, depending on how you set the regime lengths. By default it is a classic 50 and 200 EMA cross structure. Important detail, the script applies regime_filter when compounding equity, meaning it uses the prior bar regime state to avoid ambiguous same bar updates. 7) Equity curve construction The script builds a synthetic equity curve starting from Initial Capital after Start Date . Each bar: If regime was ACTIVE on the previous bar, equity compounds by (1 + netRet). If regime was CASH, equity stays flat. Fees are modeled very simply as a per bar penalty on returns: netRet = avgRet - (fee_rate * avgRet) This is not realistic execution modeling, it is just a simple turnover penalty knob to show how friction can reduce compounded performance. Real backtesting should model trade based costs, spreads, funding, and slippage. Benchmark and buy and hold comparison The script pulls a benchmark symbol via request.security and builds a buy and hold equity curve starting from the same date and initial capital. The buy and hold curve is based on benchmark price appreciation, not the strategy’s asset price, so you can compare: Strategy equity on the chart symbol. Buy and hold equity for the selected benchmark instrument. By default the benchmark is TVC:SPX, but you can set it to anything, for crypto you might set it to BTC, or a sector index, or a dominance proxy depending on your study. What it plots If enabled, the indicator plots: Strategy Equity as a line, colored by recent direction of equity change, using Positive Equity Color and Negative Equity Color . Buy and Hold Equity for the chosen benchmark as a line. Optional labels that tag each curve on the right side of the chart. This makes it easy to visually see when volatility targeting and regime gating change the shape of the equity curve relative to a simple passive hold. Metrics table explained If Show Metrics Table is enabled, a table is built and populated with common performance statistics based on the simulated daily returns of the strategy equity curve after the start date. These include: Net Profit (%) total return relative to initial capital. Max DD (%) maximum drawdown computed from equity peaks, stored over time. Win Rate percent of positive return bars. Annual Mean Returns (% p/y) mean daily return annualized. Annual Stdev Returns (% p/y) volatility of daily returns annualized. Variance of annualized returns. Sortino Ratio annualized return divided by downside deviation, using negative return stdev. Sharpe Ratio risk adjusted return using the risk free rate input. Omega Ratio positive return sum divided by negative return sum. Gain to Pain total return sum divided by absolute loss sum. CAGR (% p/y) compounded annual growth rate based on time since start date. Portfolio Alpha (% p/y) alpha versus benchmark using beta and the benchmark mean. Portfolio Beta covariance of strategy returns with benchmark returns divided by benchmark variance. Skewness of Returns actually the script computes a conditional value based on the lower 5 percent tail of returns, so it behaves more like a simple CVaR style tail loss estimate than classic skewness. Important note, these are calculated from the synthetic equity stream in an indicator context. They are useful for concept exploration, but they are not a substitute for professional backtesting where trade timing, fills, funding, and leverage constraints are accurately represented. How to interpret the system conceptually Vol targeting effect When volatility rises, volMult falls, so the strategy de risks and the equity curve typically becomes smoother. When volatility compresses, volMult rises, so the system takes more exposure and tries to maintain a stable risk budget. This is why volatility targeting is often used as a “risk equalizer”, it can reduce the “biggest drawdowns happen only because vol expanded” problem, at the cost of potentially under participating in explosive upside if volatility rises during a trend. Long short directional effect Because direction is an EMA cross: In strong trends, the direction stays stable and the scaled return stream compounds in that trend direction. In choppy ranges, the EMA cross can flip and create whipsaws, which is where fees and regime filtering matter most. Regime filter effect The 50 and 200 style filter tries to: Keep the system active in sustained up regimes. Reduce exposure during long down regimes or extended weakness. It will always be late at turning points, by design. It is a slow filter meant to reduce deep participation, not to catch bottoms. Common applications This script is mainly for understanding and research, but conceptually, volatility targeting overlays are used for: Risk budgeting normalize risk so your exposure is not accidentally huge in high vol regimes. System comparison see how a simple trend model behaves with and without vol scaling. Parameter exploration test how target volatility, lookback length, and regime lengths change the shape of equity and drawdowns. Framework building as a reference blueprint before implementing a proper strategy() version with trade based execution logic. Tuning guidance Lookback lower values react faster to vol shifts but can create unstable scaling, higher values smooth scaling but react slower to regime changes. Target volatility higher targets increase exposure and drawdown potential, lower targets reduce exposure and usually lower drawdowns, but can under perform in strong trends. Signal EMAs tighter EMAs increase trade frequency, wider EMAs reduce churn but react slower. Regime EMAs slower regime filters reduce false toggles but will miss early trend transitions. Fees if you crank this up you will see how sensitive higher turnover parameter sets are to friction. Final note This is a compact educational demonstration of a volatility targeted, long short single asset framework with a regime gate and a synthetic equity curve. If you want a production ready implementation, the correct next step is to convert this concept into a strategy() script, add realistic execution and cost modeling, test across multiple timeframes and market regimes, and validate out of sample before making any decision based on the results.
Pine Script® 인디케이터
BackQuant의
1
5-Period Average of Returns (Close)This indicator calculates the 5-period average of returns of the closing price, providing a detrended, zero-centered oscillator ideal for cycle analysis and timing. Key Features: Detrended: Centers around zero to clearly reveal cyclical patterns. Cycle-friendly: Highlights peaks and troughs for measuring dominant cycles. Flexible: Can be applied to multiple timeframes (daily, weekly, intraday). Zero Line Reference: Quickly identify directional shifts in average returns. Foundation for Advanced Analysis: Can be combined with RSI, statistical bands, or multi-timeframe studies. Use this indicator to: Identify dominant cycles and their phase Measure cycle length and rhythm Assist in entry and exit timing based on average-return oscillations Detrend price data for more precise technical and cyclical analysis
Pine Script® 인디케이터
aroramunish1992의
Sideways Zone Breakout 📘 Sideways Zone Breakout – Indicator Description Sideways Zone Breakout is a visual market-structure indicator designed to identify low-volatility consolidation zones and highlight potential breakout opportunities when price exits these zones. This indicator focuses on detecting periods where price trades within a tight range, often referred to as sideways or consolidation phases, and visually marks these zones directly on the chart for clarity. 🔍 Core Concept Markets often spend time moving sideways before making a directional move. This indicator aims to: Detect price compression Visually highlight the sideways zone Signal when price breaks above or below the zone boundaries Instead of predicting direction, it simply reacts to range expansion after consolidation. ⚙️ How the Indicator Works 1️⃣ Sideways Zone Detection The indicator looks back over a user-defined number of candles It calculates the highest high and lowest low within that window If the total price range remains within a defined percentage of the current price, the market is considered sideways This helps filter out trending and highly volatile conditions. 2️⃣ Visual Zone Representation When a sideways condition is detected: A clear price zone is drawn between the recent high and low The zone is displayed using a soft gradient fill for better visibility Outer borders are added to enhance zone clarity without cluttering the chart This makes consolidation areas easy to spot at a glance. 3️⃣ Breakout Identification Once a sideways zone is active: A bullish breakout is marked when price closes above the upper boundary A bearish breakout is marked when price closes below the lower boundary Directional arrows and labels are plotted directly on the chart to indicate these events. 📊 Visual Elements Included Sideways consolidation zones with gradient fill Upper and lower zone boundaries Buy and Sell arrows on breakout Optional text labels for clear interpretation All visuals are designed to remain lightweight and readable on any chart theme. 🔧 User Inputs Sideways Lookback (candles): Controls how many past candles are used to define the range Max Range % (tightness): Determines how tight the range must be to qualify as sideways Adjusting these inputs allows users to adapt the indicator to different instruments and timeframes. 📈 Usage Guidelines Can be applied to any market or timeframe Works well as a context or confirmation tool Best used alongside volume, trend, or risk management tools Signals should be validated with proper trade planning ⚠️ Disclaimer This indicator is provided as open-source for educational and analytical purposes only. It does not generate trade recommendations or guarantee outcomes. Market conditions vary, and users are responsible for their own trading decisions.
Pine Script® 인디케이터
AlgoVisionX의
2
MNQ Quant Oscillator Lab v2.1MNQ Quant Oscillator Lab v2.1 — Clean Namespaces Adaptive LinReg Oscillator + Auto Regime Switching + MTF Confirmation + MOEP Gate + Research Harness MNQ Quant Oscillator Lab is a research-grade oscillator framework designed for MNQ/NQ (and other liquid futures/indices) on 1-minute and intraday timeframes. It combines a linear-regression-based detrended oscillator with quant-style normalization, adaptive parameterization, regime switching, multi-timeframe confirmation, and an optional MOEP (Minimum Optimal Entry Point) gate. The goal is to provide a customizable signal laboratory that is stable in real time, non-repainting by default, and suitable for systematic experimentation. What this indicator does 1) Core oscillator (quant-normalized) The indicator computes a linear regression (LinReg) detrended signal and expresses it as a z-scored oscillator for portability across volatility regimes and assets. You can switch the oscillator “transform family” via Oscillator type: LinReg Residual / Residual Z: detrended residual (mean-reversion sensitive) LinReg Slope Z: regression slope (trend-derivative sensitive) LogReturn Z: log-return oscillator (momentum-style) VolNorm Return Z: volatility-normalized returns (risk-scaled) This yields a single oscillator that is comparable over time, not tied to raw point values. 2) Adaptive length (dynamic calibration) When enabled, the regression length is automatically adapted using a volatility-regime proxy (ATR% z-scored → logistic mapping). High volatility typically shortens the effective lookback; low volatility allows longer lookbacks. This helps the oscillator remain responsive during expansions while staying stable in compressions. Important: the adaptive logic is implemented with safe warmup behavior, so it will not throw NaN errors on early bars. 3) Adaptive thresholds (dynamic bands) Instead of static overbought/oversold levels, the indicator can compute dynamic upper/lower bands from the oscillator’s own distribution (rolling mean + sigma). This creates thresholds that adjust automatically to regime changes. 4) Auto regime switching (Trend vs Mean Reversion) With Auto regime switch enabled, the indicator selects whether to behave as a Trend system or a Mean Reversion system using an interpretable heuristic: Trend regime when EMA-spread is strong relative to ATR and ATR is rising Otherwise defaults to Mean Reversion This prevents running mean-reversion logic in trend breakouts and reduces “mode mismatch.” 5) Multi-timeframe (MTF) confirmation (optional) MTF confirmation can be enabled to require that the higher timeframe oscillator sign aligns with the direction of the signal. This is useful for reducing noise on MNQ 1m by requiring higher-timeframe structure agreement (e.g., 5m or 15m). 6) MOEP Gate (optional “institutional” filter) The MOEP gate is a confluence score filter intended to reduce low-quality signals. It aggregates multiple components into a 0–100 score: BB/KC squeeze condition Expansion proxy Trend proxy Momentum proxy (RSI-based) Volume catalyst (volume z-score) Structure break (highest/lowest break) You can set: Score threshold (minimum score required) Minimum components required (forces diversity of evidence) When enabled, a signal must satisfy both oscillator logic and MOEP confluence conditions. 7) Research harness (NON-CAUSAL, OFF by default) A built-in research mode evaluates signals using future bars to compute basic forward excursion statistics: MFE (max favorable excursion) MAE (max adverse excursion) Simple win-rate proxy based on MFE vs MAE This feature is strictly for offline analysis and tuning. It is disabled by default and should not be considered “live-safe” because it uses future information for evaluation. Signals and interpretation Mean Reversion regime Long: oscillator is below the lower band and turns back upward across it Short: oscillator is above the upper band and turns back downward across it Trend regime Long: oscillator crosses above zero (optionally requires structure break confirmation) Short: oscillator crosses below zero (optionally requires structure break confirmation) Hybrid When Hybrid is selected (manual mode), the indicator allows both trend and mean-reversion triggers, but still respects the filters and gates you enable. Recommended starting configuration (MNQ 1m) If you want stable, high-quality signals first, then expand into research: Use RTH only: ON Auto regime switch: ON Adaptive length: ON Adaptive bands: ON MTF confirmation: OFF initially (turn ON later with 5m) MOEP Gate: OFF initially (turn ON after you confirm base behavior) Research harness: OFF (only enable for tuning studies) Practical notes / transparency The indicator is designed to be stable on live bars (optional confirmed-bar behavior reduces flicker). No repainting logic is used for signals. Any “performance” numbers shown under Research harness are not tradable metrics; they are forward-looking evaluation outputs intended strictly for experimentation. Disclaimer This script is provided for educational and research purposes only and does not constitute financial advice. Futures trading involves substantial risk, including the possibility of loss exceeding initial investment.
Pine Script® 인디케이터
vkoncsek의
Session Highlighter with Kill Zones [Exponential-X]Session Highlighter with Kill Zones Overview This indicator provides comprehensive visualization of major forex trading sessions (Asian, London, and New York) with integrated kill zone detection and real-time session analytics. It helps traders identify optimal trading times by highlighting high-volatility periods and tracking session-specific price ranges. What Makes This Original While session indicators are common, this script uniquely combines several features that work together: Kill Zone Integration: Highlights specific high-volatility windows within sessions (London: 02:00-05:00 EST, NY: 08:30-11:00 EST) when institutional activity typically peaks Session Overlap Detection: Automatically detects and highlights when major sessions overlap (London-NY, Asian-London) with distinct visual cues Real-Time Range Tracking: Calculates and displays percentage-based session ranges as they develop, not just historical data Dynamic Statistics Dashboard: Live table showing current active session, session times, and comparative range percentages Customizable Visual System: Flexible styling options including background shading, box overlays, and configurable line styles for session boundaries How It Works Session Detection Logic The script uses timezone-normalized session detection based on EST/EDT times. It converts the current bar's timestamp to New York time and determines which session(s) are active using minute-based calculations. This approach ensures accurate session detection regardless of your chart's timezone settings. Kill Zones Kill zones represent periods within sessions when institutional traders are most active. The London kill zone (02:00-05:00 EST) captures pre-London open volatility, while the NY kill zone (08:30-11:00 EST) aligns with US economic data releases and market open activity. Range Calculations Session highs, lows, and opens are tracked from the first bar of each session and updated in real-time. Range percentages are calculated as: ((High - Low) / Low) × 100 , providing a volatility measure that's comparable across different instruments and price levels. Visual System Background shading: Color-coded zones for each session Session boxes: Outline entire session ranges H/L lines: Dynamic lines showing current session extremes Open lines: Reference levels from session start Overlap highlighting: Distinct colors when multiple sessions are active simultaneously How to Use Intraday Trading: Use kill zones to time entries during high-liquidity periods Session Breakouts: Monitor for price breaks above/below session highs/lows Range Trading: Trade between session boundaries during consolidation Session Continuity: Observe how price behaves as sessions transition Volatility Assessment: Compare current session ranges to typical values Recommended Timeframes: Works on any timeframe, but most useful on 1m to 1H charts for intraday trading. Settings Explained Sessions Group Toggle each major session on/off independently Customize colors for visual clarity Enable/disable overlap highlighting Levels Group Show/hide session high/low lines Show/hide session open levels Choose line styles (Solid/Dashed/Dotted) Kill Zones Group Toggle kill zone highlighting Select which kill zones to display Customize kill zone color intensity Display Group Show/hide statistics table Show/hide session labels on chart Important Notes All times are displayed in EST/EDT Session ranges reset at the start of each new session Kill zones are session sub-periods, not separate sessions Overlap colors override individual session colors when multiple sessions are active The statistics table updates in real-time and shows percentage-based ranges for cross-instrument comparison Session Times Reference Asian Session: 19:00 - 04:00 EST (Tokyo open through early Sydney close) London Session: 03:00 - 12:00 EST (Full European trading hours) New York Session: 08:00 - 17:00 EST (US market hours) London Kill Zone: 02:00 - 05:00 EST (Pre-London volatility spike) NY Kill Zone: 08:30 - 11:00 EST (US open and news releases) Alerts Available The script includes six pre-configured alert conditions: London Kill Zone start NY Kill Zone start London-NY Overlap start Asian Session open London Session open NY Session open Create alerts through TradingView's alert system to get notified when specific sessions or kill zones begin. Disclaimer: This indicator is for informational purposes only. Session times and kill zones are based on typical market patterns but do not guarantee specific trading outcomes. Always use proper risk management.
Pine Script® 인디케이터
Exponential-X의
Stepped Multi Timeframe MAs with PDH PDL TDH TDL Dynamic Labels Plots stepped (blocky) higher‑timeframe moving averages and VWAP on the current chart (HMA/EMA/VWMA/SMA/VWAP toggles).​ Automatically switches MA source to the chart’s timeframe on Daily/Weekly/Monthly (e.g., Weekly chart shows weekly MAs), while intraday charts can use a user-selected higher timeframe.​ Draws Previous Day High/Low (PDH/PDL) anchored from the exact candle that formed the level, then extends the line across the chart up to the latest bar.​ Draws Today’s High/Low (TDH/TDL) the same way, and updates dynamically as new intraday highs/lows are made (the anchor shifts to the new wick candle).​ Keeps labels readable by placing them above/below each line with no background and a clean grey style, and repositions label X based on the visible chart window (so labels stay at a consistent % from the right edge while you pan/zoom)
Pine Script® 인디케이터
Bholenath420의
Prev TF CLOSE EMA Box (Resets Every TF)⚙️ Key Features ✅ Custom reset timeframe (independent of chart TF) ✅ Uses previous CLOSED EMA (no lookahead) ✅ Box instead of line (clearer structure) ✅ Optional “disrespected → gray” logic ✅ Wick-based or close-based validation ✅ Works on futures, crypto, forex, equities 📈 How to Use Treat the box as a dynamic support / resistance zone Best used for: Trend continuation Mean reversion Bias filtering (above = bullish, below = bearish) When the box turns gray, the EMA level has lost structural validity ❗ Important Notes This is not a signal indicator No entries or exits are generated Designed for context, bias, and structure Combine with price action, liquidity, or session logic 🧩 Inputs Explained Reset / EMA TF → timeframe used for EMA calculation & box reset EMA Length → standard EMA length (default 9) Box Height → thickness of the EMA zone Disrespect Logic → optional invalidation behavior
Pine Script® 인디케이터
EightFigRenko의
Auto Trend [theUltimator5]The Auto Trend indicator was designed to be a unique pattern detection indicator without the use of standard pivot point logic or high/low lines. It is a study in pattern detection by using iterative best-fit logic. The indicator automatically identifies and draws trend channels by analyzing price action across configurable lookback periods. It finds optimal high and low trendlines that contain price movement, with a middle line marking the trend's center. Key Features: Automatic Pattern Detection - Intelligently searches for the best lookback period where price stays within the channel boundaries Dual Pattern Modes - Choose between Short (20-66 bars) for quick patterns or Long (50-500 bars) for extended trends. Note - the long pattern is fully configurable and can be set anywhere up to 5000 bars. Smart Caching - Optimized performance that only recalculates when necessary Customizable Starting Point - Click directly on the chart to set where the trend channel begins Flexible Lookback Range - Set minimum and maximum lookback periods to match your trading style Visual Debugging - Optional label displays the active lookback period and violation count How It Works: The indicator divides the lookback period into thirds, finds the highest and lowest closes in the first and last thirds, then draws trendlines connecting these points. It can automatically search through different lookback periods to find the one with the fewest price violations (closes outside the channel). Settings: Use Auto Lookback - Enable automatic optimal lookback detection Pattern Length - Short (faster, 1-bar increments) or Long (broader, 5-bar increments) Min/Max Lookback - Define the search range for the Long pattern Manual Lookback - Override auto-detection with a fixed period Custom Colors - Personalize the high, low, and middle line colors Starting Point - Select where the trend analysis begins Use Cases: Identify dominant trend channels across different timeframes Spot potential support and resistance levels Determine trend strength and consistency Time entries and exits based on channel position The indicator supports up to 5000 bars of historical data for comprehensive trend analysis.
Pine Script® 인디케이터
TheUltimator5의
MACD Trend Count ScoreThis indicator aims to confirm trends in an asset's price. This confirmation is achieved by counting the MACD bars in a calculation using the chosen timeframe. Positive and negative bars are considered in the calculation of the strength index, which indicates the current trend of that asset. This Delta index summarizes the predominance of positive or negative bars in the MACD histogram over weekly, bi-weekly, monthly, bi-monthly, and quarterly periods, and, depending on the timeframe used, its result allows one to indicate the intensity of the current trend, according to the results it shows within the following ranges: Acima de +60 → Strong Raise. Entre +20 e +60 → Moderate High. Entre -20 e +20 → Neutral. Entre -60 e -20 → Moderate Low. Abaixo de -60 → Strong Low.
Pine Script® 인디케이터
NelsonViannna의
1
Abyss Protocol OneAbyss Protocol One — Momentum Exhaustion Trading System Overview Abyss Protocol One is a momentum exhaustion indicator designed to identify high-probability reversal points by detecting when price momentum has reached extreme levels. It combines Chande Momentum Oscillator (CMO) threshold signals with dynamic volatility-adjusted bands and multiple protective filters to generate buy and sell signals. Core Concept The indicator operates on the principle that extreme momentum readings (CMO reaching ±80) often precede mean reversion. Rather than chasing trends, Abyss Protocol waits for momentum exhaustion before signaling entries and exits. Key Components 1. Dynamic Bands (Money Line ± ATR) Center line uses linear regression (Money Line) for smooth trend representation Bands expand and contract based on Bollinger Band Width Percentile (BBWP) Low volatility (BBWP < 30): Tighter bands using lower multiplier High volatility (BBWP > 70): Wider bands using higher multiplier Bands visually adapt to current market conditions 2. CMO Exhaustion Signals BUY Signal: CMO drops below -80 (oversold/momentum exhaustion to downside) SELL Signal: CMO rises above +80 (overbought/momentum exhaustion to upside) Thresholds are configurable for different assets and timeframes 3. ADX Filter Signals only fire when ADX exceeds minimum threshold (default: 22) Ensures there's enough directional movement to trade Prevents signals during choppy, directionless markets 4. Band Contraction Filter Calculates band width percentile rank over configurable lookback When bands are contracted (below 18th percentile), ALL signals are blocked Prevents trading during low-volatility squeeze periods where breakout direction is uncertain 5. Consecutive Buy Limit Maximum of 3 consecutive buys allowed before a sell is required Prevents overexposure during extended downtrends Counter resets when a sell signal fires 6. Underwater Protection Tracks rolling average of recent entry prices (last 10 entries within 7 days) Blocks sell signals if current price is below average entry price Prevents locking in losses during drawdowns 7. Signal Cooldown Minimum 5-bar cooldown between signals Prevents rapid-fire signals during volatile swings 8. Extreme Move Detection Detects when price penetrates beyond bands by more than 0.6 × ATR Extreme signals can bypass normal cooldown period Fire intra-bar for faster response to capitulation/blow-off moves Still respects max consecutive buys and underwater protection Visual Features Trend State Detection The indicator classifies market conditions into six states based on EMA stack, price position, and directional indicators: STRONG UP: Full bullish alignment (EMA stack + price above trend + bullish DI + ADX > threshold) UP: Moderate bullish conditions NEUTRAL: No clear directional bias DOWN: Moderate bearish conditions STRONG DOWN: Full bearish alignment CONTRACTED: Bands squeezed, volatility low ADX Trend Bar Colored dots at chart bottom provide instant trend state visibility: Lime = Strong Uptrend Blue = Uptrend Orange = Neutral Red = Downtrend Maroon = Strong Downtrend White = Contracted Volume Spike Highlighting Purple background highlights candles where volume exceeds 2x the 20-bar average, helping identify institutional activity or significant market events. Signal Labels Buy labels show consecutive buy count (e.g., "BUY 2/3"), price, and CMO value Sell labels show consecutive sell count, price, and CMO value Extreme signals display in distinct colors (cyan for buys, fuchsia for sells) Signal candles turn bright blue for easy identification Info Panel Real-time dashboard displaying: Current trend state CMO value with threshold status CMO thresholds (buy/sell levels) ADX with directional indicator (▲/▼) and signal eligibility BBWP percentage Buy/Sell counters Average entry price (with underwater shield indicator 🛡 when protected) Price position relative to Money Line Band width percentile rank Extreme move status Signals status (OPEN/BLOCKED) Recommended Use Timeframe: 5-15 minute charts (parameters tuned for this range) Best suited for: Assets with regular oscillations between overbought/oversold extremes Trading style: Mean reversion, momentum exhaustion, scaled entries Parameters Summary Money Line Length: 12 — Smoothing for center line ATR Length: 10 — Volatility measurement Band Multiplier (Low/High Vol): 1.5 / 2.5 — Dynamic band width CMO Length: 9 — Momentum calculation period CMO Buy/Sell Threshold: -80 / +80 — Signal trigger levels ADX Min for Signals: 22 — Minimum trend strength Signal Cooldown: 5 bars — Minimum bars between signals Max Consecutive Buys: 3 — Position scaling limit Band Contraction Threshold: 18th %ile — Low volatility filter Band Contraction Lookback: 188 bars — Percentile calculation period Extreme Penetration: 0.6 × ATR — Threshold for extreme signals
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ralis24의
Trinity Bollinger Bands Pro with BreakoutsTrinity Bollinger Bands Pro Indicator The **Trinity Bollinger Bands Pro + Triple Bands & Expansion** is a highly customized, advanced volatility and breakout indicator built on the classic Bollinger Bands framework. It expands the standard single-pair bands into **three independent deviation levels** (typically 1σ, 2σ, and 3σ) around a user-selectable moving average basis (default EMA 20). This creates clear "zones" of volatility, with dynamic trend-based coloring, layered fills, fixed-style labels, and a statistical volatility expansion detector shown as a directional background highlight in a separate pane. The result is a visually intuitive tool that helps traders identify consolidation, building momentum, confirmed trends, and rare explosive moves with high-probability filtering. ### Why It's Good and Different from Standard Indicators This indicator stands out by addressing common limitations of traditional Bollinger Bands and multi-deviation scripts: - **Layered statistical significance**: Unlike single (2σ) or basic double-band setups, it provides three distinct levels—early momentum (1σ), standard confirmation (2σ), and extreme/rare breakouts (3σ)—making it easier to stage trades progressively rather than relying on one ambiguous cross. - **Trend-aware visuals**: Bands, basis, and fills change color based on price position relative to a separate trend MA, giving immediate bullish/bearish bias without needing additional indicators. - **Clean, fixed labels**: Tiny, arrow-pointing labels ("1/2/3 SD Above/Below", "BB Basis") with consistent colors (purple upper, blue lower, yellow basis) provide instant identification - **Statistical expansion detection**: Uses percentile ranking of band width "bell curve" concept" to identify abnormally high volatility, triggering directional background highlights (green bullish, red bearish) earlier than raw width spikes. - **Reduced noise and fakeouts**: Tiered breakouts + expansion filter focus alerts on high-probability moves, unlike most BB scripts that flood signals on every touch. Compared to popular public scripts (e.g., standard Bollinger Bands, Triple BB variants, or separate BBW Percentile tools), this combines everything into one cohesive indicator with superior visual clarity and statistical rigor. ### Key Features - **Triple customizable bands**: Enable/disable and adjust multipliers for 1σ (early), 2σ (confirmed), 3σ (extreme) deviations. - **Trend-based dynamic coloring**: Separate editable colors for each band set (bullish/bearish). - **Layered zone fills**: Colored between bands with transparency, reflecting current trend. - **Fixed tiny labels**: All left-pointing arrows with purple (upper), blue (lower), yellow (basis) backgrounds for quick reference. - **Statistical expansion overlay**: with directional background (green/red) during extreme volatility expansions (earlier trigger using 2σ width). - **Tiered alerts**: Early (Band 1), Confirmed (Band 2), Extreme (Band 3), High-Probability (Extreme + expansion), and general expansion alerts. - **Fully configurable basis**: Length, type (SMA/EMA/WMA/RMA), and thin fixed lines for minimal clutter. ### How Traders Can Use It - **Spot squeezes and breakouts**: Watch for tight bands (low width) → expansion background → price closing outside Band 1 (early entry), Band 2 (add/confirm), Band 3 (strong trend conviction). - **Filter fakeouts**: Only act on crosses accompanied by expansion background color matching trend direction—dramatically reduces whipsaws. - **Trend riding**: Price "walking" colored bands (e.g., hugging upper purple-label bands in green background = strong bullish momentum). - **Scalping/intraday**: On lower timeframes (e.g., 10min), use early Band 1 signals with expansion for quick moves. - **Swing/position trading**: Wait for Band 3 extreme breakout + colored background for higher-probability, larger moves. - **Risk management**: Place stops near basis or inner band; trail using outer bands during expansions. Overall, this indicator excels at turning volatility into actionable, staged signals with visual simplicity—ideal for traders seeking an edge in identifying real explosive trends over noise. It's particularly powerful on volatile stocks like AMD/INTC or indices during news/events.
Pine Script® 인디케이터
EMA34TRADER의
Session Levels (Daily & Weekly Targets)This indicator provides market structure and contextual reference only. It does not generate trade signals, entries, or trading advice. Plots rolling previous daily and weekly highs/lows as potential target levels. Levels automatically remove once touched (including wicks). Default visibility is NY session with optional toggles for London and Asia. Designed for intraday structure, confluence, and target identification.
Pine Script® 인디케이터
JayGED의