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Bollinger Bands Forecast with Signals (Zeiierman)█ Overview Bollinger Bands Forecast with Signals (Zeiierman) extends classic Bollinger Bands into a forward-looking framework. Instead of only showing where volatility has been, it projects where the basis (midline) and band width are likely to drift next, based on recent trend and volatility behavior. The projection is built from the measured slopes of the Bollinger basis, the standard deviation (or ATR, depending on the mode), and a volatility “breathing” component. On top of that, the script includes an optional projected price path that can be blended with a deterministic random walk, plus rejection signals to highlight failed band breaks. █ How It Works ⚪ Bollinger Core The script first computes standard Bollinger Bands using the selected Source, Length, and Multiplier: Basis = SMA(Source, Length) Band width = Multiplier × StDev(Source, Length) Upper/Lower = Basis ± Width This remains the “live” (non-forecast) structure on the chart. ⚪ Trend & Volatility Slope Estimation To project forward, the indicator measures directional drift and volatility drift using linear regression differences: Basis slope from the Bollinger basis StDev slope from the Bollinger deviation ATR slope for ATR-based projection mode These slopes drive the forecast bands forward, reflecting the market’s recent directional and volatility regime. ⚪ Projection Engine (Forecast Bands) At the last bar, the indicator draws projected basis, upper, and lower lines out to Forecast Bars. The projected basis can be: Trend (straight linear projection) Curved (ease-in/out transition toward projected endpoints) Smoothed (extra smoothing on projected basis/width) ⚪ Price Path Projection + Optional Random Walk In addition to projecting the bands, the script can draw a price forecast path made of a small number of zigzag swings. Each swing targets a point offset from the projected basis by a multiple of the projected half-width (“width units”). Decay gradually reduces swing size as the forecast deepens. The Optional Random Walk Blend adds a deterministic drift component to the zigzag path. It’s not true randomness; it’s a stable pseudo-random sequence, so the drawing doesn’t jump around on refresh, while still adding “natural” variation. ⚪ Rejection Signals Signals are based on failed attempts to break a band: Bear Signal (Down): price tries to push above the upper band, then falls back inside, while still closing above the basis. Bull Signal (Up): price tries to push below the lower band, then returns back inside, while still closing below the basis. █ How to Use ⚪ Forward Support/Resistance Corridors Treat the projected upper/lower bands as a future volatility envelope, not a guarantee: The upper projection ≈ is likely a resistance level if the regime persists The lower projection ≈ is likely a support level if the regime persists Best used for trade planning, targets, and “where price could travel” under similar conditions. ⚪ Regime Read: Trend + Volatility The projection shape is informative: Rising basis + expanding width → trend with increasing volatility (needs wider stops / more caution) Flat basis + compressing width → contraction regime (often precedes expansion) ⚪ Signals for Mean-Reversion / Failed Breakouts The rejection markers are useful for fade-style setups: A Down signal near/after upper-band failure can imply rotation back toward the basis. An Up signal near/after lower-band failure can imply snap-back toward the basis. With MA filtering enabled, signals are constrained to align with the broader bias, helping reduce chop-driven noise. █ Related Publications Donchian Predictive Channel (Zeiierman) █ Settings ⚪ Bollinger Band Controls the live Bollinger Bands on the chart. Source – Price used for calculations. Length – Lookback period; higher = smoother, lower = more reactive. Multiplier – Bandwidth; higher = wider bands, lower = tighter bands. ⚪ Forecast Controls the forward projection of the Bollinger Bands. Forecast Bars – How far into the future the bands are projected. Trend Length – Lookback used to estimate trend and volatility slopes. Forecast Band Mode – Defines projection behavior (linear, curved, breathing, ATR-based, or smoothed). ⚪ Price Forecast Controls the projected price path inside the bands. ZigZag Swings – Number of projected oscillations. Amplitude – Distance from basis, measured in bandwidth units. Decay – Shrinks swings further into the forecast. ⚪ Random-Walk Adds controlled randomness to the price path. Enable – Toggle random-walk influence. Blend – Strength of randomness vs. zigzag. Step Size – Size of random steps (band-width units). Decay – Reduces randomness as the forecast deepens. Seed – Changes the (stable) random sequence. ⚪ Signals Controls rejection/mean-reversion signals. Show Signals – Enable/disable signal markers. MA Filter (Type/Length) – Filters signals by trend direction. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® indicator
by Zeiierman
10
Momentum Turtle Swing StrategyMomentum Breakout Swing Tool — Overview This indicator is built for traders who like breakout-style swing entries with a simple, disciplined structure. It blends trend context + momentum confirmation to highlight moments when price is more likely to continue rather than chop. Core idea Focus on directional expansion: it looks for points where price starts moving decisively after a period of structure building. Signals are filtered so they appear primarily when the market is showing a clear directional bias, not when it’s indecisive. Confirmation concept Uses a trend context filter to stay aligned with the dominant market direction. Adds a momentum sanity check so signals are less likely to trigger when strength is fading. Position logic (unique signals) Designed to keep signals clean and non-spammy: it produces distinct entry markers instead of repeated triggers in the same direction. The internal flow treats market states as “in-trade / out-of-trade” to keep the chart readable. Exit philosophy Exits are based on a reactive market reference (to adapt when momentum cools or structure shifts), rather than fixed targets. The goal is to stay in the move while it’s healthy and step aside when conditions degrade. Best conditions Works best in markets with clear swings and breakout continuation behavior. Less effective in tight ranges or noisy sideways phases, where breakouts can fail more often. For educational and analytical purposes only. Always forward-test on different markets and timeframes.
Pine Script® indicator
by alblanz
Confluence Signal Intelligence Indicators (CSI Indicators)CSI - Confluence Signal Intelligence is a dual-oscillator analysis tool that combines two specialized indicators in a single pane. It provides visibility into cycle exhaustion and statistical deviation conditions to help identify potential turning points. The Two Oscillators CEI - Cycle Exhaustion Index (Upper Section) CEI measures where price sits within its recent cycle range and detects momentum depletion states. It identifies moments when a move has stretched beyond typical levels, which historically have preceded mean-reversion. Normalized range from -1.0 to +1.0 Configurable exhaustion thresholds Reversal signals (REV) when extreme zones begin turning Cycle wave overlay showing peak/trough phases Stepped confluence indicator between sections PRG - PDF Reversal Gauge (Lower Section) PRG applies statistical transforms across multiple timeframes to measure deviation from price norms. It combines readings from primary and secondary periods to create a confluence assessment. Multi-period analysis for timing and confirmation Strong Confluence (SC) signals at statistical extremes Confluence scoring when multiple periods align Deviation bars showing distance from mean Signal Types CEI Signals: REV - Reversal signal when exhaustion zone begins turning Triangle markers - Entry into exhaustion zones X markers - Extreme exhaustion levels PRG Signals: SC - Strong Confluence signal when threshold met Triangle markers - Standard reversal signals Diamond markers - Multi-period confluence alignment Visual Design The pane is divided into two distinct sections with a separator line: Upper Section (CEI) - Cycle analysis with area fill and confluence stepping Lower Section (PRG) - Statistical gauge with deviation bars Color Coding - Gold for strong confluence, Green/Red for direction, Gray for neutral Zone Backgrounds - Shaded areas marking overbought/oversold regions Information Table - Real-time values, zones, confluence scores, and signals for both oscillators Configuration CEI Settings: Cycle period and exhaustion lookback Signal smoothing and sensitivity Upper/lower exhaustion thresholds Extreme level definition PRG Settings: Primary and secondary periods Smoothing and extreme threshold Confluence sensitivity Strong confluence threshold Multi-period confluence toggle Layout Settings: Adjustable vertical positioning Independent scale factors for each oscillator Separator position control Alert Conditions CEI Alerts - Bull/Bear reversals, extreme exhaustion levels PRG Alerts - Strong confluence buy/sell, standard reversals Combined Alerts - Both oscillators signaling together, strong combined confluence Companion Indicator CSI - Confluence Signal Intelligence is the main chart overlay that generates BUY/SELL signals with confidence classifications (HIGH/MEDIUM/LOW). This oscillator pane is designed to work alongside it, showing the cycle and statistical dynamics that contribute to signal generation. When using both together: Main CSI provides analytical signals directly on the price chart This pane reveals the underlying CEI and PRG oscillator states Aligned readings across both indicate stronger confluence Reading the Pane For potential long setups: CEI in lower exhaustion zone (OS) and rising PRG in oversold territory and turning up REV or SC labels appearing Both oscillators showing elevated confluence scores For potential short setups: CEI in upper exhaustion zone (OB) and falling PRG in overbought territory and turning down REV or SC labels appearing Both oscillators showing elevated confluence scores The oscillators may not signal on the exact same bar. When readings cluster within a few bars, this suggests developing conditions that warrant attention. Risk Disclosure This indicator measures technical conditions—not future price direction. Confluence scores represent analytical assessments based on statistical deviation and cycle position, not guarantees of market movement. All trading involves substantial risk of loss. Use this tool alongside your own analysis and proper risk management. No indicator can predict future price movements with certainty. --- ## AUTHOR'S INSTRUCTIONS: ``` To request access to CSI - Confluence Signal Intelligence , please send a private message or visit frontieralgo.com/tradingview. For best results, use alongside the main CSI overlay on the price chart.
Pine Script® indicator
by FrontierAlgo
Confluence Signal Intelligence (CSI)CSI - Confluence Signal Intelligence is a professional-grade analytical overlay that evaluates market conditions across multiple dimensions simultaneously. Rather than relying on a single indicator, CSI synthesizes multiple evidence factors and classification models into unified BUY/SELL signals with confidence classifications. What It Does CSI identifies potential reversal zones by detecting when multiple independent analytical components align in the same direction. Each signal displays a confidence classification: HIGH - Strong multi-factor alignment (Gold labels) MEDIUM - Moderate factor alignment LOW - Limited factor alignment Important : The confidence level measures analytical consensus—not a prediction of trade outcome. A HIGH reading means multiple components agree on directional bias at that moment, not that the trade will be profitable. Multi-Factor Analysis The classification system evaluates conditions across several categories: Statistical Extremes - Normalized price transforms that identify stretched conditions Momentum Indicators - Multiple oscillators confirming oversold/overbought states Cycle Analysis - Gauges measuring exhaustion and potential turning points Trend Alignment - Multi-timeframe directional agreement Market Structure - Break of Structure events and swing point analysis Pattern Classification - Models comparing current conditions to historical setups Volume Analysis - Confirming directional moves with participation Divergence Detection - Price/momentum disagreements across multiple oscillators Classification Components CSI incorporates multiple classification models (KNN, gradient boosting approximation, perceptron) that analyze current market conditions against historical patterns. These models contribute to the overall confidence assessment by identifying setups with characteristics similar to past formations. Smart Money Concepts The indicator includes institutional trading concepts: Break of Structure (BOS) - Markers when price violates significant swing points Order Blocks - Potential support/resistance zones based on price structure Fair Value Gaps (FVG) - Price imbalances that may act as future reference points Regime Detection - Background coloring distinguishing trending vs. ranging conditions Key Features Non-Repainting Mode - Optional bar-close confirmation prevents signal changes on the current bar Adaptive Thresholds - Automatically adjusts sensitivity based on market volatility Signal Filtering - Option to hide LOW confidence signals to reduce noise Configurable Cooldown - Minimum bars between signals to prevent overtrading Comprehensive Dashboard - Real-time display of key metrics and states Trend EMAs - 20/50/200 period moving averages for context Extensive Alerts - Conditions for signals, structure breaks, divergences, and more Intended Use CSI is designed as a decision-support tool for traders conducting their own analysis. It identifies moments of technical alignment that may warrant further investigation—it does not guarantee profitable outcomes. Market results depend on numerous variables beyond any single analytical tool. The indicator works across all markets and timeframes. Companion Indicator CSI - Confluence Signal Intelligence is published separately and displays the underlying oscillators in their own pane: CEI (Cycle Exhaustion Index) - Cycle position and momentum depletion measurement PRG (PDF Reversal Gauge) - Statistical deviation scoring When used together, the main CSI overlay provides signals on the chart while the oscillator pane offers visibility into the cycle and reversal dynamics contributing to those signals. Risk Disclosure This indicator is an analytical tool—not financial advice. Past performance does not guarantee future results. All trading involves substantial risk of loss. Confidence levels reflect internal model agreement only and should be considered alongside broader market context, your own analysis, and sound risk management practices. No indicator can predict future price movements with certainty. --- ## AUTHOR'S INSTRUCTIONS: ``` To request access to CSI - Confluence Signal Intelligence, please visit frontieralgo.com/tradingview or send a private message.
Pine Script® indicator
by FrontierAlgo
TRV & nTRV - Trimmed Range VolatilityGrid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup.Grid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup. Why We Developed TRV? When a gap or sudden spike occurs in the morning, this extreme movement affects standard ATR calculations for an extended period. Even if the price moves sideways for the rest of the day, ATR remains elevated. This causes grid bots to operate with unnecessarily wide spacing and execute fewer trades. TRV Advantages: ✅ Unaffected by Gaps: Opening gaps don't distort the calculation ✅ Extreme Point Elimination: Filters the largest and smallest outlier candles ✅ Real-Time Accuracy: Shows current market volatility ✅ Grid Bot Optimization: Enables tighter and more efficient grid spacing ✅ Comparison Capability: Compare different stocks and timeframes with nTRV Grid Bot Usage: The TRV value is used directly to calculate the number of grid lines: (Resistance - Support) / TRV = Number of Grid Lines Example: Resistance: $110 Support: $90 TRV: $2 Grid Count: (110-90)/2 = 10 grid lines Features: Two Filtering Modes: Manual (enter number) or Percentage-Based (automatic ratio) Four Indicators in One: nTRV, TRV, ATR, and nATR all displayed on the same panel nTRV: Normalized value (percentage-based, for stock comparison) TRV: Absolute value (currency-based, for grid calculation) ATR & nATR Included: Standard ATR and nATR for direct comparison with TRV Comprehensive Analysis: Compare filtered (TRV) vs unfiltered (ATR) volatility side-by-side Default: 10% top, 10% bottom outlier elimination Conclusion: TRV is an advanced version of ATR specifically designed for grid bot traders. By filtering outlier movements, it provides more stable and reliable volatility measurement. The indicator includes both TRV (filtered) and ATR (unfiltered) on the same chart, giving traders a comprehensive view to make informed decisions. This dual-display approach enables more efficient grid strategies and increased trading frequency.
Pine Script® indicator
by ExperiMentalist
VWAP Market FlowVWAP Flow Model VWAP Flow Model is a VWAP-anchored market context indicator designed to help traders understand how price is behaving relative to fair value. It evaluates the interaction between price, VWAP (Volume-Weighted Average Price), volatility, and momentum to classify prevailing market conditions such as trend continuation, expansion, mean reversion, and momentum decay. Rather than issuing trade signals, the indicator focuses on identifying market state and execution quality. Core framework: -Adaptive VWAP with slope-based colouring -VWAP acts as the central fair-value reference. The VWAP line dynamically changes colour based on its slope: -Rising VWAP → bullish pressure -Falling VWAP → bearish pressure -Flattening VWAP → balance, compression, or rotation This allows traders to quickly assess directional bias and determine whether price movement is supported by underlying flow or occurring in a lower-quality environment. Signal labels: The indicator annotates key behavioural transitions to support visual interpretation of market state: -IGN (Ignition) — Momentum expansion emerging from compression or balance, often marking the start of a directional move. -CON (Continuation) — Price sustaining directional behaviour in alignment with VWAP slope. -REV (Reversion) — Mean-reversion behaviour as price returns toward VWAP after extension. -EXH (Exhaustion) — Loss of momentum or absorption after an extended move, often preceding rotation or regime change. -MON (Displacement) — High-energy expansion bars indicating strong participation and structural shift. These labels describe market behaviour, not trade instructions, and should be interpreted within the broader VWAP context. Market behaviour classification: The model continuously evaluates how price interacts with VWAP to determine whether the market is: -directional and trending -rotating around fair value -accelerating away from value (expansion) -losing momentum or showing signs of exhaustion Classifications are derived from price displacement, volatility conditions, and momentum quality, rather than simple crossovers. Filtering and control logic: -Trend / Volatility Filter Conditions market-state classification on the prevailing volatility and structural regime, helping prevent unstable or low-quality environments from producing misleading context shifts. -Cooldown Filter Enforces a minimum number of bars between classification updates to reduce rapid state-flipping in choppy conditions and keep context stable. -Minimum Bars Between Signals Controls the strictness of the cooldown logic. Lower values increase responsiveness; higher values favour cleaner, more stable context changes. -Tape Dominance Requirement (IGN) Optional confirmation that requires directional signed-volume pressure to align with price behaviour before ignition-style classifications are allowed, helping distinguish genuine impulsive moves from weak or mechanically driven spikes. -Tape Dominance Lookback Defines the evaluation window used by the tape dominance filter. Shorter lookbacks react faster; longer lookbacks require sustained participation. Sensitivity and session controls: Sensitivity modes adjust how responsive the model is to changing conditions: -Aggressive — faster, more reactive (lower timeframes) -Balanced — default intraday calibration -Sniper — stricter thresholds, fewer but higher-quality classifications Optional session filters allow the model to operate only during selected trading sessions, helping traders focus on higher-liquidity periods and avoid low-efficiency hours. How to use it: VWAP Flow Model is used as a context and confirmation layer, not a signal generator: -Trade in the direction of VWAP slope during directional phases -Expect mean reversion when price extends far from VWAP in balanced conditions -Treat strong acceleration away from VWAP as expansion rather than chop -Use flattening VWAP as an early warning of rotation or momentum loss It integrates naturally with price action, structure-based analysis, and volume-aware workflows. Indicator scope: VWAP Flow Model provides objective market context and behavioural classification. It does not generate direct trade signals and is designed to support discretionary decision-making. Important notes: Market classifications are probabilistic, not guarantees Past behaviour does not imply future results This indicator is a decision-support tool, not an automated trading system
Pine Script® indicator
by traderaven91
GARCH Volume Volatility [MarkitTick]Title: GARCH Volume Volatility Description Overview The GARCH Volume Volatility (GV) indicator is a sophisticated quantitative tool designed to analyze the rate of change in market participation. While the vast majority of technical indicators focus on Price Volatility (how much price moves), this script focuses on Volume Volatility (how unstable the participation is). Market volume is rarely distributed evenly; it tends to cluster. Periods of high activity are often followed by more high activity, and periods of calm tend to persist. This behavior is known as "heteroskedasticity." This script utilizes an Exponentially Weighted Moving Average (EWMA) model—a core component of Generalized Autoregressive Conditional Heteroskedasticity (GARCH) frameworks—to model these changing variance regimes. By isolating volume volatility from raw volume data, this tool helps traders distinguish between sustainable liquidity flows and erratic, unsustainable volume shocks that often precede market reversals or breakouts. Methodology and Calculations 1. Logarithmic vs. Percentage Returns The foundation of this indicator is the calculation of "Volume Returns"—the period-over-period change in volume. - The script defaults to Logarithmic Returns. In financial statistics, log returns are preferred because they normalize data that can vary wildly in magnitude (such as cryptocurrency volume spikes), providing a more symmetric view of changes. - Users can opt for standard percentage changes if they prefer a linear approach. 2. Variance Proxy (Squared Returns) To measure volatility, the direction of the volume change (up or down) matters less than the magnitude. The script squares the returns to create a "Variance Proxy." This ensures that a massive drop in volume is treated with the same statistical weight as a massive spike in volume—both represent a significant change in the volatility of participation. 3. GARCH-Style Smoothing (EWMA) Standard Moving Averages (SMA) treat all data points in the lookback period equally. However, volatility is dynamic. This script uses an EWMA model with a tunable "Lambda" (Decay Factor). - The Recursive Formula: The current calculation relies on a weighted average of the current variance and the previous period's smoothed variance. - Memory Effect: This allows the indicator to "remember" recent volatility shocks while gradually letting their influence fade. This mimics the GARCH process of conditional variance. 4. Dynamic Statistical Thresholds The final output is the Volatility (square root of variance). To make this data actionable, the script calculates a dynamic upper and lower limit based on the standard deviation (Z-Score) of the volatility itself over a user-defined lookback period. How to Use The indicator plots a histogram that categorizes the market into four distinct volatility regimes: 1. High Volatility (Red Histogram) Trigger: Volatility > High Band (Upper Standard Deviation). Interpretation: This signals an extreme anomaly in volume stability. This is not just "high volume," but "erratic volume behavior." This often occurs at: - Capitulation bottoms (panic selling). - Euphoric tops (blow-off tops). - Major news events or earnings releases. 2. Elevated Volatility (Maroon Histogram) Trigger: Volatility > Mean Average. Interpretation: The market is in an active state. Participation is changing rapidly, but within statistically normal bounds. This is common during healthy, trending moves where new participants are entering the market steadily. 3. Normal/Low Volatility (Green Histogram) Trigger: Volatility is within the lower bands. Interpretation: The market volume is stable. There are no sudden shocks in participation. This is typical of consolidation phases or "creeping" trends where the price drifts without significant volume conviction. 4. Extremely Low Volatility (Bright Green/Transparent) Trigger: Volatility < Low Band. Interpretation: The "calm before the storm." When volume volatility collapses to near-zero, it implies that the market has reached a state of equilibrium or disinterest. Historically, volatility is cyclical; periods of extreme compression often lead to violent expansion. Settings and Configuration Core Settings - Use EWMA: When checked (Default), uses the recursive GARCH-style calculation. If unchecked, it reverts to a simple SMA of variance, which is less sensitive to recent shocks but more stable. - Log Returns: Uses natural log for calculations. Highly recommended for assets with exponential growth or large volume ranges. - Length: The baseline period for the calculation. - Threshold Lookback: The number of bars used to calculate the Mean and Standard Deviation bands. - EWMA Lambda: The decay factor (0.0 to 1.0). A value of 0.94 is standard for risk metrics. -- Higher Lambda (e.g., 0.98): The indicator reacts slower and is smoother (long memory). -- Lower Lambda (e.g., 0.80): The indicator reacts very fast to new data (short memory). Visuals - Show Thresholds: Toggles the visibility of the statistical bands on the chart. - High Band (StdDev): The multiplier for the upper warning zone. Default is 1.5 deviations. Increasing this to 2.0 or 3.0 will filter for only the most extreme events. Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Pine Script® indicator
by MarkitTick
Volume-Gated Trend Ribbon [QuantAlgo]🟢 Overview The Volume-Gated Trend Ribbon employs a selective price-updating mechanism that filters market noise through volume validation, creating a trend-following system that responds exclusively to significant price movements. The indicator gates price updates to moving average calculations based on volume threshold crossovers, ensuring that only bars with significant participation influence the trend direction. By interpolating between fast and slow moving averages to create a multi-layered visual ribbon, the indicator provides traders and investors with an adaptive trend identification framework that distinguishes between volume-backed directional shifts and low-conviction price fluctuations across multiple timeframes and asset classes. 🟢 How It Works The indicator first establishes a dynamic baseline by calculating the simple moving average of volume over a configurable lookback period, then applies a user-defined multiplier to determine the significance threshold: avgVol = ta.sma(volume, volPeriod) highVol = volume >= avgVol * volMult The gated price mechanism employs conditional updating where the close price is only captured and stored when volume exceeds the threshold. During low-volume periods, the indicator maintains the last qualified price level rather than tracking every minor fluctuation: var float gatedClose = close if highVol gatedClose := close Dual moving averages are calculated using the gated price input, with the indicator supporting various MA types. The fast and slow periods create the outer boundaries of the trend ribbon: fastMA = volMA(gatedClose, close, fastPeriod) slowMA = volMA(gatedClose, close, slowPeriod) Ribbon interpolation creates intermediate layers by blending the fast and slow moving averages using weighted combinations, establishing a gradient effect that visually represents trend strength and momentum distribution: midFastMA = fastMA * 0.67 + slowMA * 0.33 midSlowMA = fastMA * 0.33 + slowMA * 0.67 Trend state determination compares the fast MA against the slow MA, establishing bullish regimes when the faster average trades above the slower average and bearish regimes during the inverse relationship. Signal generation triggers on state transitions, producing alerts when the directional bias shifts: bullish = fastMA > slowMA longSignal = trendState == 1 and trendState != 1 shortSignal = trendState == -1 and trendState != -1 The visualization architecture constructs a three-tiered opacity gradient where the ribbon's core (between mid-slow and slow MAs) displays the highest opacity, the inner layer (between mid-fast and mid-slow) shows medium opacity, and the outer layer (between fast and mid-fast) presents the lightest fill, creating depth perception that emphasizes the trend center while acknowledging edge uncertainty. 🟢 How to Use This Indicator ▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (fast MA crosses above slow MA) and short/sell signals when transitioning to bearish (fast MA crosses below slow MA). Because these crossovers only reflect volume-validated price movements, they represent significant level of participation rather than random noise, providing higher-conviction entry signals that filter out false breakouts occurring on thin volume. ▶ Ribbon Width Dynamics: The spacing between the fast and slow moving averages creates the ribbon width, which serves as a visual proxy for trend strength and volatility. Expanding ribbons indicate accelerating directional movement with increasing separation between short-term and long-term momentum, suggesting robust trend development. Conversely, contracting ribbons signal momentum deceleration, potential trend exhaustion, or impending consolidation as the fast MA converges toward the slow MA. ▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and market conditions. Default provides balanced trend identification suitable for swing trading on daily timeframes with moderate volume filtering and responsiveness. Fast Response delivers aggressive signal generation optimized for intraday scalping on 1-15 minute charts, using lower volume thresholds and shorter moving average periods to capture rapid momentum shifts. Smooth Trend offers conservative trend confirmation ideal for position trading on 4-hour to weekly charts, employing stricter volume requirements and extended periods to filter noise and identify only the most robust directional moves. ▶ Built-in Alerts: Three alert conditions enable automated monitoring: Bullish Trend Signal triggers when the fast MA crosses above the slow MA confirming uptrend initiation, Bearish Trend Signal activates when the fast MA crosses below the slow MA confirming downtrend initiation, and Trend Change alerts on any directional transition regardless of direction. These notifications allow you to respond to volume-validated regime shifts without continuous chart monitoring. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments. The adjustable fill opacity control (0-100%) allows fine-tuning of ribbon prominence, with lower opacity values create subtle background context while higher values produce bold trend emphasis. Optional bar coloring extends the trend indication directly to the price bars, providing immediate directional reference without requiring visual cross-reference to the ribbon itself.
Pine Script® indicator
by QuantAlgo
12
Session Trader - Optimal Hours📊 Overview Never miss the best trading hours again! This indicator provides a comprehensive, real-time session tracker that shows you EXACTLY when to trade crypto and when to stay out of the market. Automatically converts all times to your local timezone, highlights the current active session, and shows what's coming next. Perfect for crypto traders who want to maximize profits by trading during high-liquidity, high-volume sessions while avoiding choppy, low-liquidity periods that lead to losses. ✨ Key Features 🎯 Real-Time Session Tracking LIVE indicator shows which session is currently active with bright highlighting NEXT UP feature highlights the upcoming session when between trading periods Smart header displays current status at a glance Real-time countdown timers for every session (opens/closes) 📍 6 Critical Trading Sessions Covered ✅ BEST TRADING SESSIONS (Green): London Open (07:00-09:00 UTC) - High volatility kickoff, institutional orders London-NY Overlap (13:30-15:30 UTC) - THE BEST period! Maximum liquidity & volume NY Momentum (15:30-18:00 UTC) - Strong trending moves, continuation plays ❌ AVOID TRADING SESSIONS (Red): 4. Pre-Asia Quiet (21:00-00:00 UTC) - Low liquidity, erratic moves, wide spreads 5. Asia Lunch (03:30-05:00 UTC) - Choppy markets, whipsaws, unreliable patterns 6. Post-US Drift (20:00-21:00 UTC) - Market slows, unpredictable behavior 🌍 Automatic Timezone Conversion Times display in YOUR chart timezone - no manual conversion needed! Works in Berlin, New York, Tokyo, Sydney, or anywhere in the world Switch between 12-hour and 24-hour formats 🎨 Visual Clarity Active TRADE sessions = Bright green background, impossible to miss Active AVOID sessions = Bright red background, clear warning NEXT UP session = Orange highlight when between sessions Inactive sessions = Faded gray, stays out of your way Color-coded status column with clear ✓ TRADE or ✗ AVOID indicators ⚙️ Fully Customizable 9 table positions (top-left, top-right, bottom-center, etc.) 6 text sizes (tiny to huge) for any screen size Toggle individual sessions on/off Show/hide descriptions for cleaner view Custom colors for each session type Countdown timer toggle 🔔 Built-In Alerts Automatic alerts when TRADE sessions start Alerts when AVOID sessions begin (so you don't enter bad conditions) Customizable per session 📖 How To Use Basic Setup: Add indicator to any crypto chart (BTC, ETH, etc.) Times automatically convert to your chart's timezone Watch the header - shows current session or next upcoming Look for bright colors: 🟢 Bright green = TRADE NOW 🔴 Bright red = AVOID NOW 🟠 Orange = NEXT UP (coming soon) Trading Strategy: Focus on GREEN sessions (London Open, London-NY Overlap, NY Momentum) Avoid RED sessions (Pre-Asia Quiet, Asia Lunch, Post-US Drift) Prepare for ORANGE sessions (next up - get ready!) Use countdown timers to plan entries/exits perfectly Pro Tips: London-NY Overlap is the BEST - highest volume, tightest spreads, cleanest trends First 30 minutes of London can have quick reversals - use caution NY Momentum is perfect for riding trends with trailing stops NEVER trade during Asia Lunch - choppy, unpredictable, costs you money Post-US Drift looks tempting but often leads to whipsaws 🔧 Indicator Settings Display Options: Table Position: Choose from 9 positions on your chart Text Size: Auto, Tiny, Small, Normal, Large, Huge Time Format: 12-hour (AM/PM) or 24-hour format Show Countdown: Toggle real-time countdown timers Show Description: Toggle detailed session descriptions Highlight Next Session: Orange highlight for upcoming session Session Toggles: Enable/disable any of the 6 sessions individually: London Open London-NY Overlap NY Momentum Pre-Asia Quiet Asia Lunch Post-US Drift Color Customization: Active TRADE session color (default: bright green) Active AVOID session color (default: bright red) NEXT UP session color (default: orange) Inactive session color (default: faded gray) Alerts: Individual alert toggles for each session Alerts fire when sessions start (not every bar) Includes context in alert message 📊 Session Details 🟢 London Open (07:00-09:00 UTC) Status: TRADE ✓ Characteristics: London opens with high volatility as European traders enter Major institutional orders create significant price movements Perfect for breakout and trend-following strategies Watch for quick reversals in first 30 minutes Good liquidity and volume 🟢 London-NY Overlap (13:30-15:30 UTC) Status: TRADE ✓ THE BEST TRADING PERIOD! Maximum liquidity as London & NY markets overlap Institutional volume peaks, creating clean trends Reliable technical setups, tightest spreads Best execution quality Focus on momentum and breakout trades 🟢 NY Momentum (15:30-18:00 UTC) Status: TRADE ✓ Characteristics: Strong directional moves as US market dominates Trending behavior ideal for position trades Continuation patterns highly reliable Major news impact is highest during this period Use trailing stops to ride trends effectively 🔴 Pre-Asia Quiet (21:00-00:00 UTC) Status: AVOID ✗ WARNING: Pre-Asian session with minimal liquidity Thin order books cause erratic price action Fake breakouts and stop-hunting common Wide spreads increase trading costs High risk, low reward - wait for better conditions 🔴 Asia Lunch (03:30-05:00 UTC) Status: AVOID ✗ WARNING: Asian lunch break creates choppy, directionless markets Low volume leads to whipsaws and false signals Market makers widen spreads significantly Technical patterns unreliable Not worth the risk - take a break! 🔴 Post-US Drift (20:00-21:00 UTC) Status: AVOID ✗ WARNING: Post-US session as major markets close Liquidity dries up, causing unpredictable moves High slippage risk Market enters consolidation before Asian open Better to wait for next quality session 🎯 Who Is This For? Perfect for: ✅ Crypto day traders who want to maximize profits by timing the markets ✅ Scalpers who need high liquidity and tight spreads ✅ Swing traders who want to enter during optimal conditions ✅ Beginners who need clear guidance on when to trade ✅ Anyone tired of choppy sessions that eat away profits Ideal Markets: Bitcoin (BTC/USD, BTC/USDT) Ethereum (ETH/USD, ETH/USDT) Major altcoins (SOL, XRP, ADA, etc.) Any 24/7 crypto market 💡 Why Session Timing Matters Trading crypto during low-liquidity sessions is one of the biggest mistakes traders make: ❌ Trading during bad sessions causes: Wider spreads (higher costs per trade) Choppy, unpredictable price action Fake breakouts and stop-hunting Poor trade execution and slippage Emotional frustration and overtrading ✅ Trading during optimal sessions gives you: Tight spreads (lower costs) Clean, trending price action Reliable technical patterns Better execution quality Higher win rates and confidence The difference between a profitable trader and a losing trader is often WHEN they trade, not HOW they trade. 🚀 Technical Details Version: Pine Script v6 Type: Overlay indicator (table display) Repainting: Non-repainting (all times are fixed to session schedules) Updates: Real-time on every bar Performance: Lightweight, no lag Compatibility: Works on any timeframe (1m to 1D+) 📈 Best Practices Plan your trading schedule around GREEN sessions Set alerts for session starts so you never miss opportunities Use the countdown to prepare entries/exits in advance Combine with your strategy - this indicator tells you WHEN, your strategy tells you WHAT Respect the RED sessions - discipline is profit Keep descriptions ON when learning, turn OFF for cleaner charts later 🔄 Updates & Support This indicator is actively maintained. Future updates may include: Session volume statistics Historical session performance tracking Additional regional sessions More customization options
Pine Script® indicator
by Ox3DECAF
Trend Fusion Indicator🎯 Trend Fusion Indicator🎯 Professional trading indicator combining EMA momentum with Supertrend volatility for high-probability signals. 📊KEY FEATURES: • 9 EMA & Supertrend (10,3) crossover signals • Visual trend direction with colored fills • Buy/Sell arrows at crossover points • Real-time trend tracking • Clean, professional interface ⚡SIGNAL LOGIC: ✅ BUY: When EMA crosses ABOVE Supertrend ✅ SELL: When EMA crosses BELOW Supertrend 🎨VISUAL INDICATORS: • Green Zone/Fill: Bullish trend (EMA > Supertrend) • Red Zone/Fill: Bearish trend (EMA < Supertrend) • Triangle Arrows: Entry signals • Background Colors: Trend confirmation ⚙️CUSTOMIZABLE SETTINGS: • EMA Length (Default: 9) • Supertrend ATR Length (Default: 10) • Supertrend Factor (Default: 3.0) 🔔ALERTS INCLUDED: • Buy Alert: EMA crosses above Supertrend • Sell Alert: EMA crosses below Supertrend 📈 BEST FOR: • Swing Trading • Day Trading • Trend Following • Market Reversals ⚠️ DISCLAIMER: This indicator is for educational purposes only. Trading involves risk. Not financial advice. Use at your own risk.
Pine Script® indicator
by ChandraBose2002