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IVQ - Fundamental Oscillator IVQ – Fundamental Oscillator Aggregates key fundamental and macro inputs into a single oscillator. Combines valuation metrics, COT positioning, yield spreads, liquidity measures, and volatility stress to identify macro regimes, risk-on/risk-off phases, and potential shifts in underlying market conditions directly in TradingView. invoriaquant.onepage.me

Chỉ báo Pine Script®

của jg_fxtrading

IVQ - Pine Screener IVQ – Pine Screener A non-visual screening tool designed exclusively for market scanning. Evaluates hundreds of assets using custom Pine Script logic, combining valuation, supply & demand, price action filters, and optional COT conditions. Delivers a structured list of qualifying markets without plotting charts, enabling efficient and systematic setup identification directly in TradingView. invoriaquant.onepage.me

Chỉ báo Pine Script®

của jg_fxtrading

Cập nhật

IVQ - Valuation Multi-Asset Scanner IVQ – Val Multi-Asset Scanner Analyzes multiple asset classes using a unified quantitative valuation framework. Compares assets across key reference markets (e.g. USD, Gold, Bonds) and ranks them by relative over- and undervaluation using a combined score. Provides a clear, cross-market overview to identify extremes and relative value opportunities directly in TradingView. invoriaquant.onepage.me

Chỉ báo Pine Script®

của jg_fxtrading

IVQ - Valuation Forex Scanner IVQ – Val FX Scanner Scans the Forex market using a quantitative valuation model that compares currencies against key reference assets such as the USD Index, Gold, and US Bonds. Ranks FX pairs by relative over- and undervaluation using a combined score, enabling efficient market selection and contextual analysis directly in TradingView. invoriaquant.onepage.me

Chỉ báo Pine Script®

của jg_fxtrading

IVQ - Valuation | Supply & Demand IVQ – Val | Supply & Demand Identifies supply and demand zones to highlight potential reaction areas in the market. Combines structural S&D analysis with a quantitative valuation filter to visualize over- and undervaluation, helping to contextualize price action and highlight higher-quality setups directly in TradingView. invoriaquant.onepage.me

Chỉ báo Pine Script®

của jg_fxtrading

Institutional Portfolio Timeline Suite [JOAT]Institutional Portfolio Timeline Suite is a Pine Script v6 overlay indicator that brings institutional-grade portfolio analytics, risk metrics, and multi-timeframe price levels directly to your TradingView chart. It combines real-time position tracking, quantitative risk analysis, correlation monitoring, and position sizing into one cohesive dashboard system. Note: This script is published as an invite-only INDICATOR. It does not generate backtesting results or automated trade execution. Access requires authorization through the script's access control settings. ## Why This Script Merits Invite-Only Protection This indicator integrates multiple analytical dimensions that institutional traders typically access through expensive terminal subscriptions or custom-built systems. The value proposition lies in the specific integration methodology and the quantitative calculations that synthesize: Real-time portfolio tracking with up to 8 positions across any asset class Institutional risk metrics including Sharpe Ratio, Portfolio Beta, Value at Risk, and Max Drawdown Pearson correlation matrix showing relationships between your first 4 positions Risk-based position sizing calculator with ATR-derived stop suggestions Multi-timeframe timeline levels showing D/W/M/Y opens and previous highs/lows Period boundary separators for visual timeframe context Session-based volatility statistics for intraday analysis Automatic rebalancing alerts when position weights drift beyond threshold Premium visual design with metallic gradient headers and glowing color themes The proprietary elements include the weighted portfolio return calculation methodology, the correlation matrix implementation using Pearson coefficients, the VaR calculation with configurable confidence levels and horizons, and the visual integration that maintains readability while providing comprehensive data. While individual metrics like Sharpe Ratio exist as concepts, their specific implementation for multi-asset portfolios within Pine Script, combined with the visual dashboard system, represents original development work that justifies source code protection. ## How Components Work Together The indicator's value comes from how its modules interact, not from any single component: Data Flow: Portfolio engine fetches real-time prices for all enabled positions using non-repainting request.security calls Return calculations use confirmed bar data (close with lookahead_on) to prevent repainting Risk metrics engine calculates weighted portfolio returns based on position values Correlation matrix computes Pearson coefficients between position return series Position sizer calculates optimal size based on account risk parameters and current price Timeline engine fetches D/W/M/Y opens and previous highs/lows with taken-level detection Session stats track volatility by time-of-day for intraday charts Integration Logic: Each module feeds into a unified dashboard system: Portfolio returns are weighted by position market value, not equal-weighted Risk metrics use the weighted return series for accurate portfolio-level calculations Correlation uses individual position returns to identify concentration risk Rebalancing alerts compare current weights against target weights you define Timeline levels track whether price has "taken" each level for visual dimming Why This Integration Matters: A standard portfolio tracker shows positions. This indicator shows how those positions interact, what risk they collectively represent, and when you need to rebalance. The multi-dimensional analysis separates this from simple position lists that display data without synthesis. ## Core Functionality This indicator addresses the challenge of managing a portfolio while actively trading. Most traders either use external tools for portfolio analysis or ignore portfolio-level risk entirely. This script brings institutional analytics directly to your chart. What This Script Does: Tracks up to 8 positions with symbol, quantity, average cost, and target weight Calculates real-time PnL in dollars and percentage with color-coded backgrounds Computes Sharpe Ratio using annualized returns and configurable risk-free rate Calculates Portfolio Beta against a configurable benchmark (default: SPY) Estimates Value at Risk at 90%, 95%, or 99% confidence over configurable horizon Tracks Max Drawdown and High Water Mark for portfolio performance monitoring Displays correlation matrix showing relationships between your first 4 positions Provides position sizing calculator based on account size and risk percentage Draws D/W/M/Y opens and previous highs/lows with configurable lookback Shows period boundary separators for visual timeframe context Analyzes session volatility for intraday trading optimization Alerts when position weights drift beyond your rebalancing threshold ## Technical Architecture ### Portfolio Tracking Engine The indicator tracks up to 8 positions with comprehensive data for each: Symbol - Any TradingView symbol (stocks, crypto, forex, futures, indices) Quantity - Number of shares/units held (supports fractional) Average Cost - Your cost basis for PnL calculation Target Weight - Desired portfolio allocation percentage for rebalancing Currency Override - Optional currency for FX conversion to base currency Price data is fetched using non-repainting request.security calls with close and lookahead_on to ensure historical accuracy. The portfolio table displays: Current price with real-time updates Market value (Qty x Price x FX Rate) PnL in dollars and percentage Current weight vs target weight Visual highlighting when weight drift exceeds threshold ### Risk Metrics Engine The risk panel calculates institutional-grade metrics from your weighted portfolio returns: Sharpe Ratio Formula: (Annualized Portfolio Return - Risk-Free Rate) / Annualized Volatility Portfolio return is value-weighted across all positions Annualized by multiplying daily return by 252 and volatility by sqrt(252) Color-coded: Green >= 1.5, Yellow >= 0.5, Red < 0.5 Requires minimum 20 data points for calculation Portfolio Beta Formula: Covariance(Portfolio, Benchmark) / Variance(Benchmark) Configurable benchmark symbol (default: SPY) Measures systematic risk relative to market Color-coded: Green < 0.7 (defensive), Neutral 0.7-1.3, Red > 1.3 (aggressive) Value at Risk (VaR) Formula: Z-score x Portfolio Volatility x sqrt(Horizon Days) Z-scores: 90% = 1.282, 95% = 1.645, 99% = 2.326 Configurable confidence level and time horizon Represents maximum expected loss at confidence level Color-coded: Green < 2.5%, Yellow 2.5-5%, Red > 5% Max Drawdown Formula: (High Water Mark - Current Value) / High Water Mark x 100 Tracks largest peak-to-trough decline since tracking began High Water Mark updates when portfolio reaches new highs Color-coded: Green < 10%, Yellow 10-20%, Red > 20% ### Correlation Matrix The correlation panel displays Pearson correlation coefficients between your first 4 active positions: Uses configurable lookback period (default: 60 bars, capped at risk lookback) Color-coded cells for quick visual interpretation Red for high positive correlation (> 0.7) indicating concentration risk Green for negative correlation (< -0.3) indicating diversification benefit Neutral for low correlation (-0.3 to 0.3) Diagonal shows 1.00 (perfect self-correlation) High positive correlations between positions mean they tend to move together, amplifying both gains and losses. The matrix helps identify when your portfolio is concentrated in correlated assets. ### Position Sizer The position sizing panel calculates optimal position size based on your risk parameters: Account Size - Your total account value Risk Per Trade - Percentage of account to risk (default: 1%) Stop Loss % - Your stop loss percentage from entry Risk Amount - Dollar amount at risk (Account x Risk %) Position Size - Calculated units: Risk Amount / (Price x Stop %) Position Value - Total position value and percentage of account ATR Stop Suggestion - 2x ATR(14) as alternative stop reference Color-coded position size: Green < 15% of account, Yellow 15-25%, Red > 25%. ### Multi-Timeframe Timeline Levels The timeline engine draws institutional price levels across multiple timeframes: Daily Levels - D Open, Previous D High, Previous D Low Weekly Levels - W Open, Previous W High, Previous W Low Monthly Levels - M Open, Previous M High, Previous M Low Yearly Levels - Y Open, Previous Y High, Previous Y Low Each timeframe has configurable: Enable/disable toggle Custom color Lookback period for line extension Taken Level Detection: When price crosses through a level, it becomes "taken" and is visually dimmed with a dotted line style. This resets at the start of each new period. ### MTF Separators Visual period boundary lines mark the start of each timeframe period: Daily separators - Dotted lines at day boundaries Weekly separators - Dashed lines at week boundaries Monthly separators - Thicker dashed lines at month boundaries Yearly separators - Solid lines at year boundaries Each separator type has configurable color, enable toggle, and lookback limit. ### Time-of-Day Statistics For intraday charts, the session stats panel analyzes volatility by time of day: Tracks bar range (High - Low) as percentage of close Groups data into 6 sessions: Asia Late, London Pre, London, NY Open, NY Close, After Hours Displays average volatility percentage for each session Shows bar count for statistical significance Highlights current session with subtle background color Color-coded by relative volatility: Red = highest, Yellow = medium, Green = lowest This helps identify which trading sessions offer the most movement for your instrument. ## Visual Design Theme Presets: Neon Dark - Deep blue-black background with vibrant cyan/pink accents Neon Light - Light background with softer accent colors Calm Dark - Muted dark theme with softer color palette Calm Light - Muted light theme for reduced eye strain Custom - Full control over all colors Visual Features: Metallic gradient headers for premium appearance Color-coded values based on thresholds (green/yellow/red) Smooth color blending for PnL backgrounds Consistent typography across all panels Configurable panel positions (9 positions available) Three text size options: tiny, small, normal ## Complete Configuration Reference ### Core Settings Group Portfolio Table (default: true) - Toggle main portfolio display Timeline Levels (default: true) - Toggle D/W/M/Y price levels MTF Separators (default: true) - Toggle period boundary lines Time-Of-Day Stats (default: false) - Toggle session statistics (intraday only) Risk Metrics Panel (default: true) - Toggle institutional risk analytics Correlation Matrix (default: true) - Toggle position correlation grid Position Sizer (default: true) - Toggle position sizing calculator ### Theme Settings Group Preset (default: Neon Dark) - Theme selection Blend (default: 0.65, range: 0.0-1.0) - Color blending intensity Vividness (default: 0.90, range: 0.0-1.0) - Color saturation level Metallic Headers (default: true) - Gradient header styling Panel Background - Custom background color (Custom theme only) Panel Frame - Custom frame color (Custom theme only) Bull/Bear/Neutral - Custom accent colors (Custom theme only) ### Risk Metrics Settings Group Risk Lookback (default: 252, range: 20-500) - Bars for calculations. 252 = ~1 trading year Risk-Free Rate % (default: 4.5, range: 0-20) - Annual rate for Sharpe calculation VaR Confidence (default: 95%) - Options: 90%, 95%, 99% VaR Horizon (default: 1, range: 1-30) - Days for VaR projection Benchmark Symbol (default: AMEX:SPY) - Reference for Beta calculation Rebalance Alert % (default: 5.0, range: 1-20) - Weight drift threshold ### Position Sizer Settings Group Account Size (default: 100,000, min: 1,000) - Your account value Risk Per Trade % (default: 1.0, range: 0.1-10) - Risk percentage per trade Stop Loss % (default: 2.0, range: 0.1-20) - Stop loss for sizing calculation ### Portfolio Settings Group Slots (default: 8, range: 1-8) - Number of positions to display Pricing Timeframe (default: 1D) - Timeframe for price requests FX Convert (default: false) - Enable currency conversion Base Currency (default: USD) - Target currency for conversion Preload Disabled Slots (default: false) - Pre-fetch disabled position data Position (default: top_right) - Table position on chart Text Size (default: small) - Options: tiny, small, normal Show Weights (default: true) - Display weight percentage column ### Per-Position Settings (8 slots) Enable - Toggle position on/off Symbol - TradingView symbol (e.g., NASDAQ:AAPL, BINANCE:BTCUSDT) Qty - Quantity held (supports decimals) Avg - Average cost basis Ccy - Currency override (optional, hidden by default) Tgt% - Target weight percentage for rebalancing alerts ### Timeline Settings Group Right Offset (default: 20, range: 1-300) - Bars to extend levels right Labels (default: true) - Show level labels Opens (default: true) - Show period open prices Prev High/Low (default: true) - Show previous period highs/lows Dim Taken Levels (default: true) - Fade levels when price crosses through D/W/M/Y Enable - Toggle each timeframe D/W/M/Y Color - Custom color per timeframe D/W/M/Y Lookback - Line extension bars per timeframe ### Separators Settings Group D/W/M/Y Enable - Toggle each separator type D/W/M/Y Color - Custom color per separator D/W/M/Y Lookback - Maximum bars to show separators ### Stats Settings Group Position (default: bottom_center) - Stats table position Lookback (days) (default: 20, range: 5-200) - Days for session averaging ## Alert System The script includes two alert conditions: Rebalance Alert - Fires when any position weight drifts beyond your threshold from its target weight. Message: "Portfolio weights have drifted beyond threshold - rebalancing recommended" Drawdown Alert - Fires when max drawdown exceeds 15%. Message: "Portfolio drawdown exceeds 15%" Alerts fire once per bar at bar close. ## Technical Implementation Notes Pine Script v6 compliant with all latest syntax features All price requests use close with lookahead_on to prevent repainting Risk calculations only update on confirmed bars (barstate.isconfirmed) Arrays manage portfolio returns with automatic size limiting Resource limits respected: max_lines_count=500, max_labels_count=500, max_boxes_count=500 Dynamic requests enabled for multi-symbol data fetching Safe division functions prevent divide-by-zero errors Color mixing functions for smooth gradient transitions Persistent state variables (var) for drawdown and high water mark tracking ## Usage Considerations Asset Class Compatibility: Works with any TradingView symbol including stocks, ETFs, crypto, forex, futures, and indices. FX conversion available for multi-currency portfolios. Timeframe Selection: Portfolio and risk metrics work on any timeframe. Session stats require intraday charts. Timeline levels are most useful on lower timeframes where D/W/M/Y levels provide context. Data Requirements: Risk metrics require minimum 20 bars of data for calculation. Full accuracy achieved at 252 bars (1 trading year). Correlation requires sufficient return data for statistical significance. Performance: The indicator makes multiple request.security calls for portfolio pricing. On slower connections or with many positions enabled, initial load may take a moment. ## Limitations and Compromises Correlation matrix limited to first 4 positions due to Pine Script calculation constraints Risk metrics are backward-looking and do not predict future performance VaR assumes normal distribution of returns which may not hold during market stress Position sizing is a calculation tool, not a recommendation Session stats use simplified time zones and may not align perfectly with all markets FX conversion uses TradingView's currency rate data which may have slight delays The indicator is designed as an analytical and portfolio management aid. It does not guarantee profitable trades, remove risk, or replace your own analysis and risk management process. ## Disclaimer This script is provided for informational and educational purposes only and does not constitute financial advice. Trading involves substantial risk of loss. You are solely responsible for your own trading decisions. Past results shown on any chart do not guarantee future performance. Always conduct your own analysis and use appropriate risk management. -Made with passion by officialjackofalltrades

Chỉ báo Pine Script®

của officialjackofalltrades

Sweeps + FVG + IFVG The ICT stuff in an indicator Shows liquidity sweeps Shows HTF FVG shows IFVG shows entries and take profit

Chỉ báo Pine Script®

của highandlowkai

Yettys Breakout Trading Pro V2 Breakout Trading Pro – Key Levels & Sessions (Indicator Description) Breakout Trading Pro is an all-in-one market structure + session toolkit built for traders who want clean, actionable levels and session context on a single chart. It automatically plots the most important high/low reference levels, highlights key global trading sessions, and includes optional signal modules for EMA pullbacks, opening range breakouts (ORB), 200 EMA bounces, and more. This indicator is designed to help you quickly answer: “Where are the most important levels today?” “Which session created the range?” “Is price breaking out or rotating between key zones?” “Do I have trend alignment for pullbacks / ORB setups?” Key Features 1) Auto Key Levels (High/Low Framework) Toggle on/off the levels you want displayed: Current Day High / Low (RTH only) Important: This script tracks the Current Day High/Low only during Regular Trading Hours (RTH). Pre-market does not inflate today’s range. Previous Day High / Low 2 Days Previous High / Low Pre-Market High / Low (separate from RTH range) Weekly High / Low Monthly High / Low Each level supports: Custom colors Custom line style (solid/dashed/dotted) Custom line width Optional labels with 4 display modes: Labels / Full Text / Prices / None plus adjustable label offset. 2) Session Tools (Asia / London / NY Options) This indicator can track and draw session ranges based on user-defined session windows: Asian Session High/Low London Session High/Low Optional NY Open line Optional London Open line These session levels are useful for range expansion, liquidity runs, and context around transitions between low-volume and high-volume periods. 3) 15-Minute Opening Range (ORB Foundation) A built-in 15-minute Opening Range tool: Builds the OR High/Low during the first 15 minutes of RTH (default 9:30–9:45) Draws an Opening Range box Plots an optional midpoint line This creates a clear visual framework for ORB-style breakouts and intraday rotation. 4) Trend + Mean Tools (EMA + VWAP) Includes optional: EMA 9 EMA 21 EMA 200 VWAP Optional VWAP standard deviation bands: Band 1 / Band 2 / Band 3 multipliers Shaded fill support for cleaner visuals 5) Open Levels (Previous Opens) Optional levels for: Previous Day Open (PDO) Previous Week Open (PWO) Previous Month Open (PMO) These are often used as “magnet” prices and reaction zones, especially on indices and metals. 6) Pivot Points (Daily) Optional daily pivot set calculated from the previous day’s High/Low/Close: Pivot (P) R1 / R2 S1 / S2 7) Fair Value Gaps (Optional) If enabled, the script scans back through recent bars and draws: Bullish FVG zones Bearish FVG zones Includes: Lookback control Minimum gap size filter (%) Adjustable colors Signal Modules (Optional) A) EMA Pullback Signals (Trend Pullback Logic) Buy signal (label up) triggers when: Price crosses above EMA 9 EMA 9 is above EMA 21 (trend alignment) Price was below EMA 9 X bars ago (pullback confirmation) Sell signal (label down) triggers when: Price crosses below EMA 9 EMA 9 is below EMA 21 Price was above EMA 9 X bars ago You can filter signals with: Time Filter (two configurable windows, e.g. morning + afternoon) Higher Timeframe EMA Filter (optional trend bias using HTF EMA) Optional: ATR-based stop reference levels can be displayed at the signal bar using ATR length + multiplier. B) 200 EMA Bounce Signals (Optional) This module looks for reactions at the 200 EMA using: A configurable “touch distance” threshold (%) Confirmation bars Candle direction / momentum confirmation Useful for identifying potential 200 EMA support/resistance reactions without clutter. C) ORB Breakout Signals (Breakout → Pullback → Confirm) This module is built for “breakout and retest” style ORB trading: A buy signal can trigger after: Opening Range completes Price breaks above OR High A pullback occurs within X bars back toward the OR boundary Price holds above the OR boundary Volume confirmation (volume > average volume × multiplier) Bullish candle confirmation (close > open) A sell signal is the inverse below OR Low. Signal triangle size is selectable (Tiny → Huge). Alerts Included Alertconditions are included for: Bullish / Bearish Hammer patterns OR Breakout / Breakdown EMA Pullback Buy / Sell ORB Buy / Sell 200 EMA Support / Resistance bounce (Use TradingView Alerts → choose the condition name.) Recommended Usage Best on intraday timeframes (ex: 1m / 3m / 5m / 15m) for indices and liquid futures/CFDs. Turn on only what you need — this indicator is intentionally modular. For clean charts: start with Key Levels + OR Box + VWAP, then add signal modules as desired. Notes / Disclaimer This is an indicator, not a strategy, and it does not place trades. Signals and plotted levels are informational tools intended to support your decision-making and chart structure. Always validate signals with your own risk plan, market context, and execution rules. Breakout Trading Pro – Key Levels & Sessions (Indicator Description) Breakout Trading Pro is an all-in-one market structure + session toolkit built for traders who want clean, actionable levels and session context on a single chart. It automatically plots the most important high/low reference levels, highlights key global trading sessions, and includes optional signal modules for EMA pullbacks, opening range breakouts (ORB), 200 EMA bounces, and more. This indicator is designed to help you quickly answer: “Where are the most important levels today?” “Which session created the range?” “Is price breaking out or rotating between key zones?” “Do I have trend alignment for pullbacks / ORB setups?” Key Features 1) Auto Key Levels (High/Low Framework) Toggle on/off the levels you want displayed: Current Day High / Low (RTH only) Important: This script tracks the Current Day High/Low only during Regular Trading Hours (RTH). Pre-market does not inflate today’s range. Previous Day High / Low 2 Days Previous High / Low Pre-Market High / Low (separate from RTH range) Weekly High / Low Monthly High / Low Each level supports: Custom colors Custom line style (solid/dashed/dotted) Custom line width Optional labels with 4 display modes: Labels / Full Text / Prices / None plus adjustable label offset. 2) Session Tools (Asia / London / NY Options) This indicator can track and draw session ranges based on user-defined session windows: Asian Session High/Low London Session High/Low Optional NY Open line Optional London Open line These session levels are useful for range expansion, liquidity runs, and context around transitions between low-volume and high-volume periods. 3) 15-Minute Opening Range (ORB Foundation) A built-in 15-minute Opening Range tool: Builds the OR High/Low during the first 15 minutes of RTH (default 9:30–9:45) Draws an Opening Range box Plots an optional midpoint line This creates a clear visual framework for ORB-style breakouts and intraday rotation. 4) Trend + Mean Tools (EMA + VWAP) Includes optional: EMA 9 EMA 21 EMA 200 VWAP Optional VWAP standard deviation bands: Band 1 / Band 2 / Band 3 multipliers Shaded fill support for cleaner visuals 5) Open Levels (Previous Opens) Optional levels for: Previous Day Open (PDO) Previous Week Open (PWO) Previous Month Open (PMO) These are often used as “magnet” prices and reaction zones, especially on indices and metals. 6) Pivot Points (Daily) Optional daily pivot set calculated from the previous day’s High/Low/Close: Pivot (P) R1 / R2 S1 / S2 7) Fair Value Gaps (Optional) If enabled, the script scans back through recent bars and draws: Bullish FVG zones Bearish FVG zones Includes: Lookback control Minimum gap size filter (%) Adjustable colors Signal Modules (Optional) A) EMA Pullback Signals (Trend Pullback Logic) Buy signal (label up) triggers when: Price crosses above EMA 9 EMA 9 is above EMA 21 (trend alignment) Price was below EMA 9 X bars ago (pullback confirmation) Sell signal (label down) triggers when: Price crosses below EMA 9 EMA 9 is below EMA 21 Price was above EMA 9 X bars ago You can filter signals with: Time Filter (two configurable windows, e.g. morning + afternoon) Higher Timeframe EMA Filter (optional trend bias using HTF EMA) Optional: ATR-based stop reference levels can be displayed at the signal bar using ATR length + multiplier. B) 200 EMA Bounce Signals (Optional) This module looks for reactions at the 200 EMA using: A configurable “touch distance” threshold (%) Confirmation bars Candle direction / momentum confirmation Useful for identifying potential 200 EMA support/resistance reactions without clutter. C) ORB Breakout Signals (Breakout → Pullback → Confirm) This module is built for “breakout and retest” style ORB trading: A buy signal can trigger after: Opening Range completes Price breaks above OR High A pullback occurs within X bars back toward the OR boundary Price holds above the OR boundary Volume confirmation (volume > average volume × multiplier) Bullish candle confirmation (close > open) A sell signal is the inverse below OR Low. Signal triangle size is selectable (Tiny → Huge). Alerts Included Alertconditions are included for: Bullish / Bearish Hammer patterns OR Breakout / Breakdown EMA Pullback Buy / Sell ORB Buy / Sell 200 EMA Support / Resistance bounce (Use TradingView Alerts → choose the condition name.) Recommended Usage Best on intraday timeframes (ex: 1m / 3m / 5m / 15m) for indices and liquid futures/CFDs. Turn on only what you need — this indicator is intentionally modular. For clean charts: start with Key Levels + OR Box + VWAP, then add signal modules as desired. Notes / Disclaimer This is an indicator, not a strategy, and it does not place trades. Signals and plotted levels are informational tools intended to support your decision-making and chart structure. Always validate signals with your own risk plan, market context, and execution rules.

Chỉ báo Pine Script®

của yettyfish2018

Cập nhật

Price vs CVD Divergence Zones (All Types)This is an indicator which shows the divergence between the running price and the CVD

Chỉ báo Pine Script®

của shubhhcst_ee11

Sessions + PDH / PDL Tracks the high and low of the NY AM session (8:30–12:00 NY time) and the NY PM session (12:00–16:00 NY time) from the previous day. Draws thin black lines for each high and low, starting at 8:30 AM the next day. Adds labels on the right side of the lines (AM High, AM Low, PM High, PM Low) for easy identification. Works on any timeframe chart. Purpose: Helps you see key previous day session levels at the same starting time (8:30 AM) for intraday reference.

Chỉ báo Pine Script®

SPY Daily Levels (GateKept Trading Subscriber v2)GateKept SPY Market Structure Levels This script plots intraday market structure levels specific to SPY, designed to highlight price areas where broad market risk is more likely to transition during the trading session. The indicator does not generate buy or sell signals. Its purpose is to provide a pre-session structural framework that helps traders evaluate how price behaves when it reaches areas that historically act as decision points. What the Script Plots The script displays a structured set of horizontal price levels for the current session. Each level represents a potential inflection area, where price is more likely to: Pause or consolidate Continue into the next structural range Reject and rotate back toward a prior level All levels are calculated before the session begins and remain fixed throughout the day. How the Levels Are Determined (Conceptual) The calculations are based on market structure and price acceptance principles, rather than traditional retail indicators. At a conceptual level, the script: Analyzes pre-market price behavior and reference ranges specific to SPY Identifies areas of prior agreement and disagreement Organizes these areas into a sequential structure, where interaction with one level often influences the probability of reaching the next This produces a mapped intraday framework, where price movement tends to occur between predefined areas rather than randomly. No moving averages, oscillators, or lagging momentum indicators are used. How to Use the Script The script is intended to be used as a context and decision framework, not as a signal generator. Traders should observe: Whether price accepts a level (holds and stabilizes above or below it) Or rejects a level (fails to hold and rotates away) Acceptance increases the probability of continuation toward the next plotted level. Rejection increases the probability of rotation back toward the previous level. Because SPY represents broad index exposure, these levels are often relevant for traders monitoring related instruments that reflect the same market risk. What This Script Is Not Not a buy/sell indicator Not a trend-following system Not a scalping signal tool Not based on RSI, MACD, Bollinger Bands, pivots, or pattern recognition This script is designed to provide structure, context, and clarity, allowing traders to focus on price behavior at meaningful areas rather than reacting to short-term noise.

Chỉ báo Pine Script®

Cập nhật

QQQ Daily Levels (GateKept Trading Subscriber v2)GateKept Market Structure Levels This script plots intraday market structure levels designed to highlight price areas where directional behavior is statistically more likely to change during the current session. The indicator does not generate buy or sell signals. Instead, it provides a pre-session price framework that allows traders to evaluate how price behaves when it reaches structurally important zones. What the Script Plots The script displays a hierarchical set of horizontal price levels for the current trading session. Each level represents a potential transition point, where price is more likely to: Pause or consolidate Continue toward the next structural area Reject and rotate back toward a prior level Levels are plotted before the session begins and remain fixed throughout the day. How the Levels Are Determined (Conceptual) The calculations are based on market structure and price acceptance concepts, rather than traditional lagging indicators. At a conceptual level, the script: Evaluates pre-market price behavior and reference ranges Identifies areas of prior agreement and disagreement Organizes these areas into a sequential framework, where interaction with one level often determines the probability of reaching the next This creates a roadmap-style structure, where price movement tends to occur between predefined areas rather than randomly. No moving averages, oscillators, or pattern recognition systems are used. How to Use the Script The script is intended to be used as a context and decision framework, not as a signal generator. Traders should observe: Whether price accepts a level (holds and stabilizes) Or rejects a level (fails and rotates away) Acceptance of a level increases the probability of continuation toward the next plotted level. Rejection increases the probability of rotation back toward the previous level. The script is compatible with both ETF and futures charts that represent the same underlying market. What This Script Is Not Not a buy/sell indicator Not a trend-following system Not a scalping signal tool Not based on indicators like RSI, MACD, Bollinger Bands, or pivots The script is designed to provide structure, context, and decision clarity, allowing traders to evaluate price behavior rather than react emotionally.

Chỉ báo Pine Script®

Cập nhật

EPS Tables This is a finincial data analysis of the stock, that shows 6 quater result. Both sales and EPS can show the strength of the stock.

Chỉ báo Pine Script®

của santoshmohapatra77

AV (Fixed)essential market structure tools, BOS/Choc, s/r , swing low/high

Chỉ báo Pine Script®

của anna797979

Cập nhật

Stock Fundamentals Health Map Just another way to look at stock fundamental stats

Chỉ báo Pine Script®

của Alternative_Cerebral

XRay XRay is a comprehensive earnings analysis table for TradingView that displays historical quarterly earnings data, year-over-year growth trends, and future estimates in an easy-to-read format directly on your chart. Column & Description ✅ Date - Earnings report date (MMM-YY format) ✅ EPS ($) - Actual earnings per share in dollars ✅ %Chg (YoY) - EPS year-over-year percentage change ✅ Sales (Mil) - Total revenue in millions ✅ %Chg (YoY) - Sales year-over-year percentage change ✅ Price - Configurable: earnings day close, next trading day close, or current price ✅ %Chg (YoY) - Stock price year-over-year percentage change Benefits: ✅ All-in-one earnings dashboard - No need to leave your chart ✅ Smart visual encoding - Color, bold, symbols make patterns obvious ✅ Flexible configuration - Adapts to your trading style ✅ Future-looking - Includes analyst estimates for next quarter Use Cases: ✅ Quick earnings screening - Instantly see growth trends across multiple quarters ✅ Fundamental analysis - Track sales and earnings consistency ✅ Growth acceleration detection - Spot companies accelerating or decelerating ✅ Earnings quality assessment - Compare actual vs. estimates ✅ Position sizing decisions - Evaluate risk based on earnings volatility ✅ Long-term trend analysis - See up to 20 quarters of historical performance

Chỉ báo Pine Script®

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SOP CYCLE UP (MYX:FCPOH2026)# SOP CYCLE TRAILING STRATEGY (MYX:FCPOH2026) ## Technical Overview This strategy is designed specifically for **FCPO (Crude Palm Oil)** using the "SOP Cycle" algorithm optimized for "Exponential Growth". This technique combines the precision of Scalping with the profit potential of Trend Following. **Timeframe:** 1 Hour (H1) **Asset:** MYX:FCPOH2026 ## How to Use (Trade Rules) ### 1. Indicator (Visual) Add the `indicator.pine` file to your TradingView chart. * **Green Line**: BUY Zone (Cycle Up) * **Red Line**: SELL Zone (Cycle Down) * **Label**: Look for "BUY" or "SELL" signals. ### 2. Strategy (Auto/Manual) Use the `strategy.pine` file for backtesting or automation. **Entry Rules:** * **BUY**: When the Cycle changes from Red to **Green** (Confirmed Bar). * **SELL**: When the Cycle changes from Green to **Red** (Confirmed Bar). **Exit Rules (Trailing Logic):** This strategy does not use a fixed Take Profit target. It uses a smart **Trailing Stop**: 1. Trade runs until profit reaches **3 Points** (Activation). 2. Stop Loss will automatically rise, following the price at a distance of **1 Point** (Offset). * *Advantage*: If price rallies 50 points, we capture huge profits. If price reverses, we lock in a minimum profit. 3. **Trend Change**: If the trend reverses drastically, the system will "Force Close" to prevent large losses. ### 3. Risk Management * **Initial Stop Loss**: 8 Points (To protect account from sudden spikes). * **Leverage**: FCPO requires margin, ensure sufficient equity. --- ## Performance * **Win Rate**: ~High Probability * **Style**: Hybrid Scalp-Trend Good Luck!

Chỉ báo Pine Script®

của QUANTIVESTA

Aggregate Bull & Bear Index Aggregate Bull and Bear Index The Aggregate Bull and Bear Index represents a systematic approach to measuring market sentiment through the aggregation of multiple fundamental market factors. This indicator draws conceptual inspiration from the Bank of America Bull and Bear Indicator, a widely followed institutional sentiment gauge that has demonstrated significant predictive value for market turning points over multiple market cycles (Hartnett, 2019). While the original Bank of America indicator relies on proprietary institutional data flows and internal metrics that remain inaccessible to individual investors, the Aggregate Bull and Bear Index provides a methodologically similar framework using publicly available market data, thereby democratizing access to sentiment analysis previously reserved for institutional participants. The theoretical foundation of sentiment based investing rests on decades of behavioral finance research demonstrating that market participants systematically exhibit predictable psychological biases during periods of extreme optimism and pessimism. Shiller (2000) documented how irrational exuberance manifests in asset prices through feedback loops of investor enthusiasm, while Kahneman and Tversky (1979) established that human decision making under uncertainty deviates substantially from rational expectations. These behavioral patterns create opportunities for contrarian strategies that exploit the tendency of crowds to overreact at market extremes. The Aggregate Bull and Bear Index quantifies these psychological states by synthesizing information from diverse market segments into a unified scale ranging from zero to ten, where readings below two indicate extreme fear and readings above eight signal extreme greed. Methodology and Calculation Framework The methodology underlying the Aggregate Bull and Bear Index incorporates statistical normalization techniques that transform raw market data into comparable standardized scores. Each component factor is processed through a calculation that measures how far current values deviate from historical norms, effectively capturing whether specific market metrics exhibit unusual readings relative to their own history. These normalized components are then aggregated using a weighting scheme designed to balance information from different market segments while minimizing noise and false signals. The final composite undergoes percentile ranking over a trailing lookback period to produce the familiar zero to ten scale that facilitates intuitive interpretation. The indicator incorporates several important features designed to enhance signal quality and reduce the probability of acting on spurious readings. A consensus filter examines whether multiple underlying components align in the same direction, adding weight to signals when broad agreement exists across different market factors and discounting readings that rest on narrow evidence. Dynamic threshold adjustment allows the extreme zones to adapt to changing market volatility regimes, recognizing that the appropriate definition of extreme varies depending on ambient market conditions. These refinements reflect lessons learned from decades of quantitative finance research on signal processing and regime detection. Professional Application and Portfolio Integration Professional portfolio managers have long recognized the value of sentiment indicators as a complementary tool to fundamental and technical analysis. The fundamental insight underlying sentiment based strategies is elegantly simple yet empirically robust. When market participants become uniformly bullish, marginal buyers become exhausted and the probability of price declines increases substantially. Conversely, when pessimism reaches extreme levels, forced selling creates attractive entry points for patient capital. Bank of America research found that their Bull and Bear Indicator generated a remarkable track record when deployed as a contrarian signal, with extreme fear readings historically preceding positive forward returns in equity markets (Bank of America Global Research, 2020). The Aggregate Bull and Bear Index applies this same contrarian logic while adapting the methodology to accommodate the data constraints facing individual investors. For institutional investors operating with fiduciary responsibilities and substantial capital, the Aggregate Bull and Bear Index serves as one input among many in comprehensive risk management frameworks. Large asset managers might use extreme readings to trigger portfolio review processes, stress testing exercises, or adjustments to tactical allocation overlays. The indicator proves particularly valuable when it diverges from consensus expectations, as such divergences often precede meaningful market inflections. Hedge fund managers implementing systematic strategies can incorporate the index as a conditioning variable that adjusts position sizing or strategy weights based on the prevailing sentiment environment. The integration of sentiment analysis into investment practice finds support in the concept of informational efficiency and the limits thereof. While efficient market hypothesis suggests that prices reflect all available information, the behavioral finance literature demonstrates that information processing by market participants exhibits systematic biases that create temporary mispricings (Barberis and Thaler, 2003). Sentiment indicators capture the psychological dimension of this information processing, providing insight into how market participants collectively interpret and react to fundamental developments. Extreme sentiment readings often indicate that psychological factors have pushed prices away from levels justified by fundamentals alone, creating opportunities for those willing to act against prevailing market opinion. Practical Implementation for Individual Investors The practical implementation of the indicator follows straightforward principles that both sophisticated institutions and individual retail traders can apply within their existing investment frameworks. When the index falls into the extreme fear zone below a reading of two, this suggests that market participants have become excessively pessimistic and that risk assets may offer favorable risk reward characteristics. Traders might consider this an opportune moment to increase equity exposure or reduce hedging positions. When the index rises into the extreme greed zone above eight, the opposite dynamic applies and a defensive posture becomes prudent. This could manifest as reducing equity allocations, increasing cash reserves, or implementing protective hedging strategies. The neutral zone between these extremes suggests no strong directional bias from a sentiment perspective, during which time other analytical frameworks should take precedence in decision making. Individual retail investors can derive substantial benefit from the indicator even without sophisticated infrastructure or large capital bases. The most straightforward application involves treating extreme readings as alerts that warrant careful examination of existing portfolio positioning. A reading in the extreme fear zone might prompt consideration of whether recent market declines have created opportunities to deploy excess cash or rebalance toward equities. A reading in the extreme greed zone could trigger review of whether current equity exposure exceeds target allocations and whether risk reduction measures merit consideration. Importantly, the indicator should inform rather than dictate investment decisions, serving as one valuable perspective within a broader analytical framework. Retail investors frequently find themselves at a psychological disadvantage during market extremes because emotional responses to portfolio losses or gains often prompt actions contrary to long term wealth accumulation. The academic literature on investor behavior consistently documents that individual investors tend to buy near market peaks when confidence runs highest and sell near market bottoms when fear dominates (Barber and Odean, 2000). A systematic sentiment indicator provides an objective framework for recognizing these emotional extremes and consciously acting against natural psychological impulses. By externalizing the assessment of market mood into a quantifiable metric, investors create psychological distance from their own emotional state and gain perspective on the collective sentiment environment. The decision to implement a sentiment indicator within an investment process requires thoughtful consideration of how it complements existing analytical approaches. Technical analysts may find that sentiment readings help contextualize chart patterns and momentum signals, with extreme fear adding conviction to bullish technical setups and extreme greed warranting caution even when price trends appear strong. Fundamental investors can use sentiment as a timing tool that helps avoid the common mistake of being right on valuation but wrong on timing. Quantitative investors might incorporate sentiment factors into multi factor models or use them to adjust position sizing across strategies. Trading Behavior and Strategy Characteristics The Aggregate Bull and Bear Index employs a contrarian investment methodology that fundamentally diverges from trend following approaches prevalent in systematic trading. The trading logic rests upon the principle of accumulating positions when collective fear pervades market sentiment and liquidating those positions when greed dominates investor psychology. This approach stands in direct opposition to momentum strategies that amplify existing market movements rather than positioning against them. The observation that the indicator frequently initiates long positions despite subsequent downward price movement represents not a flaw but an inherent characteristic of contrarian strategies. When the indicator signals extreme fear, this indicates that market participants have already engaged in substantial selling and pessimistic expectations have become embedded in asset prices. However, this emphatically does not guarantee that the ultimate trough has been reached. Fear can intensify, panic selling can escalate, and fundamental deterioration can trigger additional price declines before stabilization occurs. The indicator identifies phases where the statistical probability distribution of future returns appears favorable rather than pinpointing exact inflection points. Academic research by De Bondt and Thaler (1985) demonstrated that markets systematically overreact to both positive and negative information, creating opportunities for patient contrarian investors willing to endure interim volatility. Risk Profile and Investment Considerations This characteristic produces a distinctive risk profile that investors must thoroughly comprehend before implementation. The primary danger manifests in what practitioners colloquially term catching a falling knife. Purchasing assets during declining markets exposes capital to potentially severe interim drawdowns even when the ultimate investment thesis proves correct. The backtest evidence reveals numerous instances where positions experienced double digit percentage declines before eventually generating positive returns or triggering exit signals. Investors lacking the psychological fortitude to maintain positions through such adversity will inevitably abandon the strategy at precisely the wrong moment, crystallizing losses that patient adherents would have recovered. Behavioral research by Odean (1998) documented that individual investors exhibit a strong disposition effect, holding losing positions too long in some contexts while selling winners prematurely, yet paradoxically abandoning systematic strategies during drawdowns when discipline matters most. The temporal dimension of contrarian investing demands particular attention. Unlike trend following strategies that can generate returns relatively quickly by riding established momentum, contrarian approaches often require extended holding periods before mean reversion materializes. The indicator may signal fear and initiate positions that subsequently experience weeks or months of continued decline before sentiment shifts and prices recover. This extended timeline conflicts with human psychological preferences for immediate gratification and creates substantial opportunity for doubt and strategy abandonment. Investors must recognize that the strategy optimizes for terminal wealth accumulation over extended horizons rather than minimizing short term discomfort. A critical risk factor involves the possibility of genuine regime changes that invalidate historical relationships. While extreme fear readings have historically preceded favorable forward returns, this pattern assumes that pessimism eventually proves excessive and fundamentals stabilize or improve. In scenarios involving structural economic transformation, permanent impairment of earnings power, or systemic financial crisis, fear may prove entirely justified rather than excessive. The indicator cannot distinguish between irrational panic creating buying opportunities and rational recognition of deteriorating fundamentals. This limitation underscores the importance of using the indicator as one input among many rather than as a standalone decision mechanism. Risk management applications deserve particular attention given the indicator's historical tendency to signal market stress before price declines fully materialize. Portfolio managers charged with protecting capital during drawdowns can use rising greed readings as an early warning system that justifies defensive measures such as reducing beta exposure, increasing cash allocations, or purchasing portfolio protection through options strategies. The contrarian nature of the indicator means that protective action occurs when markets appear strongest rather than weakest, avoiding the common trap of implementing risk reduction after substantial losses have already occurred. Opportunity Set and Compounding Benefits The opportunity set presented by contrarian sentiment investing derives from persistent behavioral biases that academic research has extensively documented. Extrapolation bias leads investors to assume recent trends will continue indefinitely, causing excessive optimism after gains and excessive pessimism after losses (Greenwood and Shleifer, 2014). Herding behavior amplifies these tendencies as investors observe and mimic the actions of others, creating self reinforcing cycles of buying or selling that push prices away from fundamental values. The Aggregate Bull and Bear Index systematically exploits these patterns by positioning against the prevailing emotional consensus. The compounding benefits of buying during fear merit emphasis. When the indicator signals extreme pessimism, asset prices by definition trade at depressed levels relative to recent history. Investors who accumulate positions at these reduced valuations capture not only potential price recovery but also enhanced long term compound returns from reinvesting dividends and earnings at favorable prices. This mathematical advantage compounds over decades, explaining why legendary investors from Benjamin Graham to Warren Buffett have emphasized the importance of purchasing during periods of market distress despite the psychological difficulty such actions entail. Investor Suitability and Implementation Requirements Regarding suitability, the Aggregate Bull and Bear Index aligns most appropriately with investors possessing specific characteristics. First, a genuinely long term investment horizon measured in years rather than months proves essential. The strategy will underperform during extended bull markets when momentum approaches dominate and will experience painful interim drawdowns during crisis periods. Only investors capable of maintaining positions through these challenging phases will capture the strategy's full return potential. Second, psychological resilience to act against consensus and tolerate portfolio volatility represents a prerequisite. Research by Goetzmann and Kumar (2008) demonstrated that most individual investors lack the temperament for contrarian strategies despite their theoretical appeal. Third, sufficient financial reserves to avoid forced liquidation during drawdowns ensures that temporary price declines do not become permanent capital impairment. The indicator proves less suitable for investors seeking steady returns with minimal volatility, those with short investment horizons or imminent liquidity needs, and individuals whose emotional responses to portfolio fluctuations compromise rational decision making. Institutional investors with quarterly performance pressures may find the strategy incompatible with their governance constraints despite its long term merits. Retirees depending on portfolio withdrawals must carefully consider whether interim drawdowns could force disadvantageous liquidations. For appropriate investors, the Aggregate Bull and Bear Index offers a systematic framework for implementing time tested contrarian principles that have generated superior long term returns across multiple market cycles. By externalizing sentiment assessment into an objective metric, the indicator helps investors overcome the natural human tendency to capitulate at market bottoms and chase performance at market tops. The strategy demands patience, discipline, and genuine long term orientation, but rewards those characteristics with the potential for meaningful wealth accumulation over extended investment horizons. Proprietary Elements and Limitations The proprietary aspects of the indicator's construction reflect both practical and theoretical considerations. From a practical standpoint, maintaining certain methodological details as proprietary preserves the informational advantage that the indicator provides and prevents degradation of signal quality that might occur if widespread adoption prompted market participants to trade directly against the underlying components. From a theoretical perspective, the specific parameter choices and weighting schemes represent empirical findings from extensive research that constitute intellectual property developed through substantial effort. Academic research on sentiment indicators provides encouraging evidence regarding their predictive value while appropriately acknowledging limitations. Baker and Wurgler (2006) demonstrated that investor sentiment predicts the cross section of stock returns, with high sentiment periods followed by lower returns for speculative stocks prone to overvaluation during euphoric conditions. Brown and Cliff (2005) found that sentiment measures contain information about near term market returns beyond that captured by traditional risk factors. However, the same literature cautions that sentiment signals exhibit variable lead times and occasional false positives, reinforcing the importance of using such indicators as part of comprehensive analytical frameworks rather than standalone trading systems. The Aggregate Bull and Bear Index ultimately represents an attempt to bridge the gap between institutional grade sentiment analysis and the tools available to broader investor populations. By providing a systematic framework for assessing collective market psychology, the indicator empowers users to recognize emotional extremes and consider contrarian positioning when conditions warrant. The historical tendency of markets to reverse from extreme sentiment readings creates opportunities for those willing to act against crowd psychology, while the indicator's multi factor construction and quality filters help distinguish genuine extremes from temporary fluctuations. Whether deployed by professional money managers seeking to refine risk management practices or individual investors striving to overcome behavioral biases, the Aggregate Bull and Bear Index offers a valuable perspective on the eternal struggle between fear and greed that drives financial markets. References Baker, M. and Wurgler, J. (2006) Investor sentiment and the cross section of stock returns. The Journal of Finance, 61(4), pp. 1645 to 1680. Bank of America Global Research (2020) The Bull and Bear Indicator: A contrarian timing tool. Bank of America Securities Research Report. Barber, B.M. and Odean, T. (2000) Trading is hazardous to your wealth: The common stock investment performance of individual investors. The Journal of Finance, 55(2), pp. 773 to 806. Barberis, N. and Thaler, R. (2003) A survey of behavioral finance. Handbook of the Economics of Finance, 1, pp. 1053 to 1128. Brown, G.W. and Cliff, M.T. (2005) Investor sentiment and asset valuation. The Journal of Business, 78(2), pp. 405 to 440. De Bondt, W.F.M. and Thaler, R. (1985) Does the stock market overreact? The Journal of Finance, 40(3), pp. 793 to 805. Goetzmann, W.N. and Kumar, A. (2008) Equity portfolio diversification. Review of Finance, 12(3), pp. 433 to 463. Greenwood, R. and Shleifer, A. (2014) Expectations of returns and expected returns. The Review of Financial Studies, 27(3), pp. 714 to 746. Hartnett, M. (2019) Flow Show: Bull and Bear Indicator methodology and applications. Bank of America Merrill Lynch Investment Strategy. Kahneman, D. and Tversky, A. (1979) Prospect theory: An analysis of decision under risk. Econometrica, 47(2), pp. 263 to 291. Odean, T. (1998) Are investors reluctant to realize their losses? The Journal of Finance, 53(5), pp. 1775 to 1798. Shiller, R.J. (2000) Irrational Exuberance. Princeton University Press.

Chỉ báo Pine Script®Tập lệnh trả phí

của EdgeTools

Cập nhật

Market State Fear & Greed Bubble Index V1 Market State Fear & Greed Bubble Index V1 📊 Comprehensive Market Sentiment Analyzer This advanced indicator measures market psychology through a multi-dimensional scoring system, combining demand/supply pressure, trend momentum, and statistical extremes to identify fear/greed cycles and trading opportunities. 🎯 Core Features Five-Factor Fear & Greed Score Weighted sentiment analysis: Demand/Supply (25%): Real-time buying/selling pressure RSI (25%): Momentum extremes KDJ (20%): Overbought/oversold detection Bollinger Band % (20%): Statistical positioning ADX Trend (10%): Trend strength confirmation Multi-Layer Market State Detection Extreme Fear/Greed: Statistical bubble identification Trend Bias: Bullish/Bearish/Neutral classification Confidence Scoring: Setup reliability assessment Reversal Alerts: Early trend change signals Visual Dashboard Top-right information panel displays: Fear & Greed Score (0-100) Market State Classification Trend Bias & Confidence Signal Quality & Alerts 📈 Key Components Fear & Greed Gauge 0-30: Extreme Fear (buying opportunities) 30-47: Fear (accumulation zones) 47-70: Neutral (consolidation) 70-90: Greed (caution zones) 90-100: Extreme Greed (selling opportunities) Deviation Zones Red Zone (±17.065): Critical reversal areas Yellow Zone (±34.135): Warning levels Blue Zone (±47.72): Statistical extremes where reversals are highly likely. These occur when asset prices are in a bubble that's about to pop. Signal Types Buy/Sell Labels: Primary entry/exit signals Scalp Signals: Short-term opportunities Bottom/Top Detectors: Extreme reversal zones Whale Indicators: Institutional activity markers 🚀 Trading Applications Extreme Fear Setups Conditions: Fear & Greed Score < 34.135 BB% < 0 or < J-inverted line RSI < 34.135 Confidence score > 68% Bullish divergence present Action: Accumulation positions, scaled entries Extreme Greed Setup Conditions: Fear & Greed Score > 68.2 BB% > 100 or > 80 with divergence RSI > 68.2 ADX showing trend exhaustion Multiple timeframe resistance Action: Profit-taking, protective stops Trend Following Bullish Conditions: Sentiment score rising from fear zones DMI+ above DMI- and rising Confidence > 75% Volume supporting moves Bearish Conditions: Sentiment declining from greed zones DMI- above DMI+ and rising Distribution patterns Multiple resistance failures ⚙️ Customization Options Adjustable Parameters: DMI Settings: DI lengths, ADX smoothing KDJ Periods: Customizable sensitivity BB% Range: Statistical band adjustments Smoothing Options: Demand/Supply filtering Alert Thresholds: Custom signal levels Visual Customization: Color schemes for different market states Line thickness and style preferences Information panel display options Alert sound/visual preferences 📊 Signal Interpretation Primary Signals: Green 'B': Strong buy opportunity Red 'S': Strong sell opportunity White 'Scalp': Short-term trade Trade Area: Accumulation/distribution zones Visual Markers: 🔥: Bullish momentum building 🐻: Bear exhaustion building 🐳: Whale/institutional activity Color-coded fills: Market state visualization Confidence Levels: ≥80%: High reliability setups 60-79%: Moderate confidence <60%: Low confidence, avoid or reduce size ⚠️ Risk Management Guidelines Critical Rules: Never trade against extreme sentiment (Extreme Fear → buy, Extreme Greed → sell) Require multiple confirmation signals Use confidence scores for position sizing Avoid When: Conflicting signals between components Low volume participation Confidence score < 50% Major news events pending Extreme volatility conditions 💡 Advanced Strategies Sentiment Cycle Trading Identify sentiment extremes Wait for confirmation reversals Enter with trend confirmation Exit at opposite sentiment extreme Use confidence scores and fear & greed scores to scale: Fear & greed scores < 30 = buy area Fear & greed score > 60 = sell area Trend Momentum Exit: At extreme greed with divergence Enter: At extreme fear with divergence 📊 Market State Classification Five Primary States: EXTREME FEAR (BB% <0, RSI <34, Score <34) FEAR (Score 34-47, bearish momentum) NEUTRAL (Score 47-70, consolidation) GREED (Score 70-90, bullish momentum) EXTREME GREED (Score >90, BB% >100) State Transitions: Fear → Neutral: Early accumulation Neutral → Greed: Trend development Greed → Extreme Greed: Distribution Extreme → Reversal: Trend change 🔍 Information Panel Guide Real-Time Metrics: FEAR & GREED: Current sentiment score Market State: Classification and bias Trend Bias: Bullish/Bearish/Neutral Confidence: Setup reliability percentage Momentum: Current directional strength Volatility: Market condition assessment Signal Quality: Trade recommendation Reversal Imminent: Early warning alerts 🌟 Unique Advantages Psychological Edge: Quantifies market emotion through multiple indicators Identifies bubbles before they pop Provides statistical confidence for each setup Combines technical extremes with sentiment analysis Offers clear visual cues for decision making Professional Features: Multi-timeframe sentiment analysis Real-time confidence scoring Comprehensive alert system Institutional activity detection Clear risk/reward visualization 📚 Educational Value This indicator teaches: Market psychology cycles Statistical extreme identification Multi-indicator confirmation Risk quantification methods Professional trade management Perfect for traders seeking to understand and profit from market sentiment cycles. Disclaimer: For educational purposes. Trading involves risk. Past performance doesn't guarantee future results.

Chỉ báo Pine Script®

của capableDealer16380

Linear Regression Market State Index Standard Deviation Market Structure Indicator A Comprehensive Multi-Timeframe Market Analysis Tool 🎯 Overview The Standard Deviation Market Structure (SDMS) indicator is a sophisticated technical analysis tool that integrates multiple proven methodologies to identify market structure, trend direction, and potential reversal zones. By combining price action, statistical analysis, and momentum indicators across multiple timeframes, SDMS provides traders with a comprehensive view of market dynamics. ✨ Key Features Multi-Timeframe Integration Primary analysis on current timeframe 1-hour statistical confirmation for support/resistance levels Order block extension across 500 future bars Comprehensive Technical Suite RSI with Deviation Analysis Dynamic Order Block Detection Gaussian Filter Channels Linear Regression with Statistical Bands Standard deviation to detect price outliers Directional Movement Index (DMI/ADX) Bollinger Band % Analysis Support/Resistance Line System Visual Clarity Color-coded signals and zones Automatic level management Clean, intuitive display 📊 Core Components Explained 1. Order Block System What Are Order Blocks? Order blocks are price zones where institutional activity has occurred, creating future support or resistance levels. SDMS automatically detects these critical zones. Detection Logic: Bullish Order Blocks: Form when price breaks above recent highs following bearish candles Bearish Order Blocks: Form when price breaks below recent lows following bullish candles Visual Identification: Green boxes with "BuOB" labels (support zones) Red boxes with "BeOB" labels (resistance zones) Each block shows its boundary price for easy reference Dynamic Management: Automatically extends 300 bars into the future Self-cleaning: removes blocks when price breaches their boundaries Real-time adjustment to changing market structure 2. Statistical Support/Resistance System How It Works: SDMS creates support and resistance lines based on statistical extremes confirmed on the 1-hour timeframe. Trigger Conditions: Support Lines (Green): Trigger when 1H Bollinger Band % crosses above 0 and bearish momentum subsides. Resistance Lines (Red): Trigger when 1H Bollinger Band % crosses below 1 and bullish momentum subsides The Science Behind BB%: BB% = (Price - Lower Band) / (Upper Band - Lower Band) BB% <= 0: Price at statistical oversold extreme; also indicated by white candles. BB% > 1: Price at statistical overbought extreme; also indicated by white candles. Line Management: Maximum of 15 active lines Oldest lines automatically removed Lines extend across chart for ongoing reference 3. Trend Analysis Suite Hull Moving Average (HMA): 55-period smoothed trend indicator Color-coded: Green = bullish, Red = bearish Visual band shows trend acceleration/deceleration Gaussian Channel: Advanced filtering of market noise Dynamic channel based on true range volatility Helps identify mean reversion opportunities Form a yellow band when price is overbought or oversold zones. Linear Regression System: Statistical price modeling Multiple standard deviation bands (up to 3SD) Regression-based candlestick visualization Candles turn white when in overbought zones. Yellow candles indicate extremely overbought zones. Blue candles indicate a bullish trend with high volume. Bearish candles are bluish-purple when volume is high and red when the volume is within normal ranges or low. 4. Momentum & Oscillator Integration RSI with Deviation Tracking: 21-period RSI with 30-period smoothing Tracks deviation from moving average based off linear regression Identifies momentum divergences Directional Movement Index: Multi-period DMI/ADX analysis Used to detect overbought and oversold zones within the indicator calculations. Combines with RSI for enhanced signals Momentum confirmation for all entries/exits 🎯 Trading Signals & Alerts Buy Signals (Yellow "Buy" Labels) Multi-Condition Confirmation Required: RSI Oversold Reversal: RSI crosses above 30 Trend Alignment: HMA showing bullish structure Momentum Confirmation: DMI alignment Statistical Support: Price at or near support zones Risk Management: Multiple confirming indicators Strong Buy Conditions: Confluence of order block support + BB% support line Multiple timeframe alignment Volume confirmation at key levels Sell Signals (Red/Yellow "Sell" Labels) Multi-Condition Confirmation Required: RSI Overbought Reversal: RSI crosses below 70 Trend Exhaustion: HMA showing bearish structure Momentum Divergence: DMI bearish alignment Statistical Resistance: Price at or near resistance zones Timeframe Confirmation: 1H BB% bearish signals Strong Sell Conditions: Confluence of order block resistance + BB% resistance line Multiple timeframe distribution Volume surge at resistance Additional Alerts RSI Divergence Signals: Triangles showing momentum shifts Extreme Price Alerts: Circles at statistical extremes Structure Breaks: Visual cues for order block violations 🎨 Visual System Guide Color Coding System Green: Bullish conditions, support zones, rising trends Red: Bearish conditions, resistance zones, falling trends Blue: Statistical channels, neutral zones Yellow: Alert conditions, extreme signals White: Transition zones, neutral signals Zone Identification Buying Pressure Zones: Green/blue tinted areas below price or white candles with white dots within the moving average center line Selling Pressure Zones: Red tinted areas above price with white dots within the moving average center line Standard Deviation Zones: Gradient colors showing statistical extremes ⚙️ Customization Options Adjustable Parameters RSI Settings: Period, oversold/overbought levels, sensitivity Order Block Detection: Lookback period, ATR multiplier, extension Statistical Settings: Gaussian filter poles, regression periods Support/Resistance: Maximum lines, BB% settings Visual Preferences: Colors, band displays, alert styles Input Groups RSI Trading Strategy Order Block Configuration Gaussian Channel Settings Linear Regression Parameters DMI/ADX Configuration Bollinger Band % Settings 📈 Practical Trading Applications For Swing Traders Identify Key Levels: Use order blocks + BB% lines for entry/exit planning Trend Confirmation: HMA + Gaussian channel for trend direction Risk Management: Standard deviation bands for stop placement Timing Entries: RSI/DMI alignment for optimal entry timing For Day Traders Intraday Levels: Order blocks provide immediate S/R for day trading Momentum Signals: Real-time RSI/DMI signals for quick moves Statistical Edges: Gaussian channel for mean reversion plays Breakout Confirmation: Order block breaks with volume For Position Traders Higher Timeframe Structure: 1H BB% lines for major levels Trend Persistence: HMA for long-term trend identification Accumulation/Distribution Zones: Order blocks show institutional activity Multi-Timeframe Alignment: Confirmation across timeframes 🔍 How to Use SDMS Effectively Step 1: Market Structure Assessment Identify active order blocks (green/red boxes) Note BB% support/resistance lines (horizontal lines) Assess HMA and moving average trend direction (color) Check Gaussian channel position (preferably outside 2SD) Step 2: Signal Confirmation Wait for multiple indicator alignment look for doji candles. Confirm with green (bullish) or red (bearish) candles Confirm with volume if available Check for confluence of levels Assess risk/reward based on nearby levels Step 3: Trade Management Enter at confirmed support/resistance Place stops beyond opposite levels Take profits at next statistical level Monitor for structure changes Step 4: Risk Management Use standard deviation bands for volatility assessment Never risk more than 1-2% per trade Adjust position size based on confluence strength Have predefined exit rules 💡 Advanced Strategies Strategy 1: Confluence Trading Setup: Order block + BB% line at same level Entry: Price tests confluence zone with RSI signal Stop: Beyond the confluence zone Target: Next statistical level Strategy 2: Breakout Trading Setup: Price approaching order block boundary Entry: Break with volume + RSI/DMI confirmation Stop: Re-entry into order block Target: Next BB% line extension Strategy 3: Mean Reversion Setup: Price at Gaussian channel extremes Entry: RSI reversal signal at channel boundary Stop: Beyond channel extreme Target: Channel midline or opposite boundary ⚠️ Important Considerations Best Market Conditions Trending Markets: Excellent performance in clear trends Breakout Scenarios: Strong identification of break levels Range Markets: Works well with defined ranges Limitations Choppy Markets: May give false signals in consolidation News Events: Fundamental shocks can override technical levels Timeframe Specific: Optimal on 15-minute to daily charts Risk Management Rules Always use stops Never rely on single signals Consider market context Adjust for volatility changes Keep position sizes consistent 🔧 Technical Specifications Maximum Lines: 500 Maximum Bars Back: 1000 Maximum Boxes: 500 Calculation Efficiency: Optimized for real-time use 🏆 Why SDMS Stands Out Unique Advantages Integrated Approach: Combines multiple methodologies into one tool Self-Adjusting: Automatically adapts to market changes Multi-Timeframe: Provides both immediate and higher timeframe context Visual Clarity: Clean, intuitive display of complex data Professional Grade: Institutional-level analysis accessible to all traders Educational Value: Learn how different indicators interact Understand market structure development See institutional order flow patterns Develop disciplined trading habits 📚 Learning Resources Recommended Study Approach Start Simple: Focus on order blocks and BB% lines first Add Complexity: Gradually incorporate other indicators Paper Trade: Practice without risk Keep Journal: Document setups and outcomes Review Regularly: Analyze both wins and losses Common Pitfalls to Avoid Overtrading: Wait for high-quality setups Ignoring Context: Consider overall market conditions Chasing Signals: Enter at planned levels, not after moves Risk Mismanagement: Always know your risk before entering Confirmation Bias: Be objective about signals 🤝 Community & Support Getting the Most from SDMS Start with Defaults: Use default settings initially Adjust Gradually: Make small changes as you understand the tool Combine with Fundamentals: Use for timing within fundamental context Stay Disciplined: Follow your trading plan consistently Continuous Improvement SDMS is designed for continuous learning. As you use the indicator, you'll develop insights into: Market microstructure Institutional trading patterns Statistical edge identification Risk management optimization Risk management is more important than signal accuracy Patience is required for high-quality setups Success Factors Discipline: Following your plan consistently Patience: Waiting for proper setups Risk Management: Protecting your capital Continuous Learning: Improving your skills over time 🌟 Final Thoughts The Standard Deviation Market Structure indicator represents a sophisticated approach to technical analysis, combining the best elements of price action, statistical analysis, and momentum indicators. While powerful, remember that no indicator guarantees success. SDMS is a tool – your skill, discipline, and risk management determine your trading results. Use SDMS as part of a comprehensive trading plan, combine it with proper risk management, and continue developing your trading skills. The markets are always teaching – stay humble, stay disciplined, and trade well. Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Trading involves risk of loss. Always consult with a qualified financial professional before making investment decisions.

Chỉ báo Pine Script®

của capableDealer16380

SMC + Dual UT Bot buy and sell Alerts Mise a jour avec un EMA 20/50 et vwap his script is a composite indicator for TradingView (Pine Script v5) that merges Smart Money Concepts (SMC) with a Dual-instance UT Bot. It has been styled with a high-contrast "Neon Cyberpunk" theme (Cyan/Pink) and is fully compliant with the CC BY-NC-SA 4.0 license. Here is a breakdown of its two main components: 1. Smart Money Concepts (SMC) This portion, originally by LuxAlgo, is designed to identify institutional price levels and structural market shifts. It provides a detailed map of market structure rather than simple entry/exit signals. Market Structure (BOS & CHoCH): BOS (Break of Structure): Marks trend continuation (e.g., breaking a higher high in an uptrend). CHoCH (Change of Character): Marks potential trend reversals (e.g., the first time a higher low is broken in an uptrend). Order Blocks (OB): Highlights specific candles where institutional buying or selling likely occurred. These act as high-probability support/resistance zones. Neon Blue/Cyan for Bullish OBs. Neon Pink for Bearish OBs. Fair Value Gaps (FVG): Identifies imbalances (gaps) in price action where the market often returns to "fill" orders. Neon Mint for Bullish FVGs. Neon Red for Bearish FVGs. Premium/Discount Zones: Automatically plots the range equilibrium (50% level) to help you buy in "Discount" (low) and sell in "Premium" (high) areas. Liquidity (EQH/EQL): Automatically detects "Equal Highs" and "Equal Lows," which are magnets for price as they represent liquidity pools (stop losses). 2. Dual UT Bot Alerts This portion provides the actual Entry Signals. It runs two separate instances of the "UT Bot" strategy simultaneously with different sensitivity settings to filter noise. Instance 1 (Buy Only): Settings: Key Value = 4, ATR Period = 10 (Faster, more sensitive). Visual: Plots a Neon Cyan "Buy" label. Function: Looks for bullish reversals earlier to catch the start of a move. Instance 2 (Sell Only): Settings: Key Value = 7, ATR Period = 20 (Slower, smoother). Visual: Plots a Neon Pink "Sell" label. Function: Uses a wider ATR band to avoid getting shaken out of shorts too early, focusing on major downtrends. How to Use It The strength of this script is confluence. Wait for a Signal: Look for a UT Bot "Buy" or "Sell" tag. Confirm with SMC: Check if the signal aligns with SMC concepts. Example Buy: Did the UT Bot give a "Buy" signal while price was bouncing off a Bullish Order Block? Example Buy: Did price just sweep Liquidity (EQL) before the Buy signal? Example Sell: Is the "Sell" signal happening inside a Premium Zone or a Bearish Fair Value Gap? avant-hier Notes de version 1. "Pro" Badge Buy/Sell Labels The standard text signals have been replaced with modern, professional Badge Labels that provide more information at a glance. Visuals: Instead of simple text, the script now uses label.new to create high-visibility badges. BUY: A Neon Cyan badge with a Rocket icon (🚀). SELL: A Neon Pink badge with a Chart icon (📉). Price Details: Each badge displays the exact Entry Price directly on the label. Tooltips: If you hover your mouse over a Buy or Sell badge, a tooltip will appear showing the exact Take Profit (TP) and Stop Loss (SL) prices calculated for that trade. 2. Dynamic Take Profit (TP) The script now automatically calculates a profit target for every trade the moment a signal is generated. Calculation: It measures the distance between your Entry Price and the initial Stop Loss (the ATR Trailing Stop). Risk:Reward: It multiplies that distance by your chosen Risk:Reward Ratio (default is 1.5) to project a TP target. Visual Line: A Green Line is drawn on the chart at the TP level. It remains active until price hits it or the stop loss. 3. Active Trailing Stop Loss (SL) The Stop Loss is no longer static; it is now "alive" and manages the trade for you. Trailing Logic: If Use Trailing SL? is enabled (default), the SL line will automatically move up (for longs) or move down (for shorts) as the trend continues in your favor. It locks in profit by following the UT Bot's ATR trailing band. Visual Line: A Red Line is drawn at the SL level. You can see it physically step up or down on the chart as the trend progresses. 4. Real-Time Trade Simulation The script now simulates the lifecycle of a trade directly on the chart: Active State: When a trade is live, the TP and SL lines extend to the right of the current candle (bar_index + 1), showing you exactly where your exit points are in real-time. Closed State: Once the price hits either the Green TP line or the Red SL line, the script detects the "Exit." The lines stop extending and turn dotted, indicating that the trade is closed and waiting for the next signal. Summary of New Settings You will find a new group in the settings panel called "UT Bot: Trade Management": TP Risk:Reward Ratio: Adjust this to change how far the Green TP line is placed (e.g., set to 2.0 for 2x return). Use Trailing SL?: Uncheck this if you want the Red SL line to stay fixed at the initial entry risk level. avant-hier Notes de version 1. Live Strategy Performance Dashboard (Backtester) Since this is an indicator, TradingView does not automatically calculate PnL (Profit and Loss). I have built a custom Simulation Engine inside the script that tracks every UT Bot signal as if you had taken the trade. Location: Bottom Right of your chart. Win Rate: Displays the percentage of trades that hit the Take Profit target versus the Stop Loss. Trades (W/L): Shows the total number of signals generated, broken down by Wins and Losses. Net Profit (R): Calculates your theoretical profit in "R-Multiples" (Risk Units). Example: If you set your Risk:Reward to 2.0, every win adds +2R, and every loss subtracts -1R. Dynamic Colors: The Win Rate and Profit cells turn Neon Cyan if positive (>50% or >0R) and Neon Pink if negative. 2. Multi-Timeframe Trend Dashboard A new panel at the Top Right gives you an instant "Market Bias" reading so you don't have to scan the whole chart. SMC Trend: Reads the Smart Money structure (Break of Structure/Change of Character) to determine if the high-level timeframe is BULLISH or BEARISH. UT Bot Status: Displays the current active signal state: BUY (Active): You are currently in a Long trade. SELL (Active): You are currently in a Short trade. NEUTRAL: No active signal or the last trade hit TP/SL. 3. Integrated Alert System I have connected the visual lines to the alert system. You can now set a single alert on this indicator, and it will trigger for: Entry Signals: "UT Long Entry" / "UT Short Entry" Exits: "Take Profit Hit" / "Stop Loss Hit" 4. Consolidated Settings To make the script easier to manage, I organized the settings into clear groups: Dashboards: Toggle the visibility of the new panels or move the Performance Panel to a different corner. UT Bot: Trade Management: Quickly adjust your Risk:Reward Ratio (e.g., change from 1.5 to 2.0) to see how it affects your Win Rate in real-time on the dashboard. avant-hier Notes de version 1. Multi-Timeframe (MTF) Trend Scanner I have replaced the basic "Market Bias" panel with a comprehensive MTF Trend Dashboard located at the Top Right of your chart. What it tracks: It simultaneously monitors the trend direction on 5 distinct timeframes: 15 Minute 1 Hour 4 Hour Daily Weekly How it works: It runs a background calculation (using UT Bot settings Key=5, ATR=15) on these higher timeframes without you needing to switch charts. Visuals: BULLISH: Highlighted in Neon Cyan. BEARISH: Highlighted in Neon Pink. 2. Strategic Confluence (How to use it) This new dashboard transforms the script from a simple "signal generator" into a complete trading system by allowing you to filter trades based on the bigger picture. The "All-Green" Rule: If you are scalping on a 5-minute chart and you get a BUY signal, check the dashboard. If the 1H, 4H, and Daily are all Neon Cyan (Bullish), that trade has a significantly higher probability of success. Avoid Counter-Trend Trades: If your main chart says BUY, but the dashboard shows the 4H and Daily are Neon Pink (Bearish), you are trading against the major trend. You might want to skip that trade or reduce your risk size. 3. Summary of Dashboards You now have two professional-grade panels on your screen: Bottom Right (Performance): Shows the past results of the strategy on your current timeframe (Win Rate, Profit Factor). Top Right (Trend): Shows the current state of the market across all timeframes.

Chỉ báo Pine Script®

của stephneguiroa

Cập nhật

Sessions + PL This is a simplified version for the trading sessions and Psychology line

Chỉ báo Pine Script®

của RyanAcademy

Mi script 📝 DESCRIPTION This indicator is based on the WaveTrend oscillator, designed as a momentum and timing filter, not as an automatic trading system. The logic is simple and disciplined: 📊 Mid-range zone → no trades 🔴 Upper zones → look for short opportunities only with confluence 🟢 Lower zones → look for long opportunities only with confluence WaveTrend cross signals are used only as confirmation, never as standalone entries. Features included: Main WaveTrend line + signal line Clear overbought and oversold zones Optional histogram Candle coloring for quick market reading Customizable alerts This indicator is intended to be combined with: RSI Stochastic Market structure Support and resistance levels ⚠️ Not financial advice. For educational purposes only. Use at your own risk

Chỉ báo Pine Script®

của cryptonyoficial

11 22 33 44 55 66 77 88 99 1010 1111 1212 1313 1414 1515 1616 1717 1818 1919 2020 2121 2222 2323 2424 2525 2626 2727 2828 2929 3030 3131 3232 3333 3434 3535 3636 3737 3838 3939 4040 4141 4242

Chọn dữ liệu thị trường do ICE Data Services cung cấp. Chọn dữ liệu tham chiếu do FactSet cung cấp. Bản quyền © 2026 FactSet Research Systems Inc.Bản quyền © 2026, Hiệp hội Ngân hàng Mỹ. Cơ sở dữ liệu CUSIP do FactSet Research Systems Inc. cung cấp. Bảo lưu mọi quyền. Các báo cáo SEC và tài liệu khác do Quartr cung cấp.© 2026 TradingView, Inc.

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