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Trend Analysis

Seasonality (Prev Month Close Expected)Seasonality Indicator This indicator shows how an asset has historically behaved during each calendar month. It highlights the typical price direction and strength for the current month based on long-term seasonal patterns. The projected zone on the chart represents the average historical outcome for the ongoing month, allowing traders to quickly see whether current price action is developing in line with, above, or below its usual seasonal behavior. A heatmap summarizes monthly performance across years, making recurring strong and weak periods easy to identify. Vladimir Popdimitrov
Pine Script® indicator
by Market_Atlas
Seasonax Pro PopdimitrovThis indicator studies how an asset has historically behaved during each calendar month and uses that information to frame expectations for the current month. When a new month begins, it anchors the analysis to the confirmed closing price of the previous month and compares the current month to all past occurrences of the same month. Based on this long-term seasonal behavior, the indicator projects an expected price zone for the ongoing month, showing where price would typically end if it follows its historical monthly pattern. The projection is visualized directly on the chart, making it easy to see whether current price action is developing above, below, or in line with seasonal norms. The accompanying heatmap highlights monthly tendencies across years, helping traders identify recurring strengths, weaknesses, and consistency in seasonal performance. Vladimir Popdimitrov
Pine Script® indicator
by Market_Atlas
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
Pine Script® indicator
by BOSWaves
PTT Moving Average DeviationPTT Moving Average Deviation Identify statistically significant price extensions with precision. This indicator measures how far price has deviated from its moving average as a percentage, with dynamic standard deviation bands to highlight extreme conditions. 📊 What It Shows Blue Line: Percentage deviation from the moving average (0% = price equals MA) Red Bands: ±1 standard deviation levels - statistically significant extremes Zero Line: The moving average baseline 🔑 Key Features Multi-Timeframe: View daily/weekly deviation even on intraday charts (30m, 1H, 4H, Daily, Weekly options) Standard Deviation Bands: Adapts to each asset's volatility Status Display: Real-time deviation status Built-in Alerts: Get notified when price enters extreme zones Customizable: MA type (SMA/EMA/WMA), length, colors, and std dev multiplier 📈 How To Interpret When price moves beyond the standard deviation bands, it signals a statistically rare event: Mean Reversion: Price is stretched and may snap back toward the average Trend Initiation: A powerful trend may be starting - the "new normal" is forming Context matters. Use with price action and market structure to determine which scenario is playing out. ⚙️ Default Settings 200-period SMA (classic institutional benchmark) Daily timeframe (works on any chart) ±1 standard deviation bands Part of the PTT (Plan Trigger Trade) indicator suite.
Pine Script® indicator
by PlanTriggerTrade
CCT Legend v19.3 CCT Legend v19.3 - Smart Trading Signals What Does This Indicator Do? This indicator automatically finds high-probability BUY and SELL signals on your chart by combining multiple proven trading strategies. It shows you exactly when and where to enter trades. How It Works (Simple) Step 1: Finds Key Price Levels Looks at higher timeframes (like Daily or 4-Hour charts) Identifies untouched wicks (virgin wicks) as important support/resistance Draws green lines (bullish) or red lines (bearish) when these levels activate Step 2: Waits for Confirmation The indicator uses 3 different methods to confirm a trade is valid: Method 1: Price breaks the previous candle's high/low Method 2: Price fills a gap and reverses direction Method 3: Price breaks a key structure level (most accurate) Step 3: Shows You the Signal Green "BUY" label = Go Long Red "SELL" label = Go Short "A+" signals = Multiple methods agree (strongest signals!) Quick Start Guide For Complete Beginners: Add indicator to your chart Wait for a BUY or SELL label to appear Enter the trade when that candle closes Place stop loss just below/above the colored line Exit at 2-3x your risk (if you risk $10, target $20-$30 profit) That's it! The indicator does all the analysis for you. Understanding the Labels 📊 What You'll See: Horizontal Lines: Important price levels (green = support, red = resistance) BUY Label: Buy signal with entry method shown SELL Label: Sell signal with entry method shown Boxes: Show special trading zones (gaps) Table (bottom right): Quick status dashboard Settings Explained (Simplified) Step 1: Setup Setup Timeframe: Which timeframe to use for finding levels (Daily is good for most traders) Show POI Lines: Turn lines on/off Step 2: Filters (Optional) EMA Trend Filter: Only buy above 200 EMA, only sell below it (keeps you with the trend) ADX Filter: Only trades when market is moving (avoids flat, choppy conditions) Step 3: Entry Models Model 1, 2, 3: Which confirmation methods to use (keep all 3 ON to start) A+ Setup: Automatically finds the strongest signals (always keep ON) Step 4: Sessions Choose which trading sessions to trade (London + NY recommended) Or select "Trade 24/7" for crypto Simple Strategy Example Classic Setup: Green line appears on chart (POI activated) Price dips down and touches the green line "BUY" label appears with "A+ (M1 & M3)" Enter trade at candle close
Pine Script® indicator
by Gopiyes1991
SMA IDENTITYShort Description Multi-timeframe SMA indicator with clean end-of-line labels. Supports up to 5 SMAs with custom names. Smart SMA Labels is a clean, multi-SMA indicator that lets you display up to 5 different Simple Moving Averages on the chart — each with its own timeframe, length, color, and end-of-line label. No more guessing which SMA is which by color alone. Each line is clearly identified with labels like 50D, 100W, or custom text of your choice. ✨ Features Up to 5 independent SMAs Multi-timeframe support (D, W, M, intraday, or chart TF) Labels displayed at the end of each SMA line Automatic labels (Length + TF) or custom text Adjustable label size, style, color, opacity, and offset Designed to stay clean and readable even with multiple SMAs Perfect for traders who rely on HTF levels, mean reversion, or long-term structure and want a clear, uncluttered chart.
Pine Script® indicator
by Smpl3Jack
LDEF SENS Loss Dependent Error Filter Dominance Regime SwitchCAPITALCOM:GOLD LDEF SENS stands for Loss Dependent Error Filter. This indicator is a dominance regime filter with an adaptive switch boundary. It separates the market into two main states. Directional tradeable tape (trend and impulse conditions) Balanced noisy tape (higher fakeout probability) It also provides a dominance direction bias (bull vs bear) and an adaptive boundary you can use as a market switch signal. What you see in the indicator pane (bottom panel) Main line (0 to 100): dominance sensitivity score Line color meaning Green: bullish dominance (L greater than R) Red: bearish dominance (R greater than L) Gray: low strength or mixed tape Purple line: adaptive regime boundary (moving threshold) Violet shading: regime ON (tradeable conditions) Key idea: height equals strength, color equals direction, violet shading equals regime state. How to read the three images Image A - Regime ON in a trending environment Where to look Price panel: left to middle shows a clean up move Indicator panel: directly below the same time window Violet band is present for a sustained stretch Main line stays high and mostly green What it means When the violet band stays ON, the tape is directional enough for trend following setups to have higher quality. This is not an entry signal. It is an environment filter. Image B - Switch boundary and state changes Where to look Indicator panel: focus on the purple adaptive line and the main line crossing relative to it Watch the moment the main line moves above the purple line. In the same region, violet shading turns ON. What it means The purple line is the adaptive regime boundary. Cross above: regime switches toward directional tape (state change confirmation) Cross below: regime fades and chop risk returns Image C - Direction semantics inside a regime Where to look Indicator panel: inside violet shaded regions Main line is green during bullish dominance (L greater than R) Main line is red during bearish dominance (R greater than L) What it means Violet answers: is this a tradeable regime Green or red answers: which side is dominating Together, they provide a filter plus bias framework. Practical usage Regime filter Prefer setups only when the violet band is ON Reduce size or tighten criteria when the violet band is OFF Direction bias Prefer longs when the line is green Prefer shorts when the line is red Treat gray as no edge or mixed tape Switch boundary analysis Cross above purple: treat as regime shift confirmation Cross below purple: treat as regime cooling off and higher chop risk Limitations This is a regime and dominance tool, not a standalone entry generator. Regime confirmation can be late by design, especially after shocks. Use it with structure, liquidity, and risk management.
Pine Script® indicator
by TheWannaBeQuant
5
Market Structure & Supply-Demand EngineMarket Structure & Supply-Demand Engine (MSD-Engine) is a professional, non-repainting market structure and supply-demand analysis tool built purely on price action and volatility logic. This indicator is designed for discretionary traders who want a clean, institutional-style view of market structure without lagging indicators or strategy automation. 🔍 What This Indicator Does MSD-Engine identifies major structural reversals, plots price-action based supply & demand zones, and provides multi-timeframe confluence in a single, unified framework. It is visual and analytical only — no strategy orders, no backtesting, and no repainting. 🚀 Core Features • Non-Repainting Market Structure Event-based swing reversal detection ATR-adaptive displacement filtering Confirmed pivots only (no future leaks) • Pure Supply & Demand Zones Candle-structure based zone detection Volume-weighted zone strength Automatic invalidation on breach Configurable zone limits to maintain chart clarity • Multi-Timeframe Context (MTF) Chart timeframe structure Two independent higher-timeframe supply & demand layers Higher-timeframe directional bias visualization HTF zones plotted only on confirmed HTF closes • Volatility-Adaptive Logic ATR normalized across timeframes Dynamic reversal thresholds Stable behavior from scalping to swing charts • Trendline Lifecycle Tracking Automatic major trendline construction Single-fire break detection Break validation / failure logic HTF-aligned vs counter-trend classification 🧠 Designed For • Discretionary price-action traders • Supply & demand traders • Market structure & smart-money style analysis • Multi-timeframe confluence trading • Futures, indices, forex, crypto, and equities ⚠️ Important Notes This is NOT a strategy or auto-trading system No buy/sell signals or performance metrics No repainting (uses barmerge.lookahead_off) Educational & analytical use only 📜 Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice. Trading financial markets involves risk.
Pine Script® indicator
by Market_Logic_India
3
Jurik MA Trend Breakouts [BigBeluga]🔵 OVERVIEW Jurik MA Trend Breakouts is a precision trend-breakout detector built on a custom Jurik-smoothed moving average. It identifies trend direction with ultra-low lag and maps breakout levels using pivot-based swing highs/lows. The indicator plots dynamic breakout lines and confirms trend continuation or reversal when price breaks them — providing clean, minimalistic yet extremely accurate trend signals. 🔵 CONCEPTS Jurik Moving Average (JMA) — A highly smooth and low-lag moving average that reacts quickly to trend shifts without noise. This becomes the core trend baseline. Trend Bias — • JMA rising → bullish trend • JMA falling → bearish trend The JMA color updates instantly based on slope. Swing Pivots — Recent pivot highs/lows are detected to define structural break levels while filtering out weak noise. Trend Breakout Levels — The indicator draws horizontal levels at the last valid pivot in the direction of the trend. These levels act as “confirmation gates” for breakout entries. ATR Validity Filter — Ensures only meaningful pivots within a threshold are used to prevent fake breakouts. 🔵 FEATURES Ultra-Smooth Jurik Trend Line — A visually clean trend baseline changing color based on direction. Automatic Swing High Breakout Setup (Bullish) — • During an uptrend, the indicator tracks the most recent pivot high. • A horizontal breakout line is extended across the chart. • A ✔ marker appears at both pivot points when the breakout structure becomes valid. Automatic Swing Low Breakout Setup (Bearish) — • During a downtrend, pivot lows are tracked. • A horizontal breakout line marks the breakdown level. • ✔ markers confirm valid structure before the breakout triggers. Breakout Detection — • Price closing above the bullish breakout line → “↑” signal printed on the chart. • Price closing below the bearish breakout line → “↓” signal printed on the chart. Automatic Reset on Trend Change — When the JMA trend flips, all breakout structures are cleared and the model starts tracking new pivot levels. Trend-Colored Visualization — Glow + main JMA line give instant clarity of market direction. 🔵 HOW IT WORKS 1. JurikMA defines the main trend — Slope determines bullish or bearish state. 2. The indicator continuously searches for pivots in the direction of the trend. 3. When a valid pivot forms and passes ATR proximity filter, a structural breakout level is drawn. 4. As long as price stays below that level (bullish case), the trend setup remains active. 5. When price finally breaks the level , the indicator prints a directional arrow (↑ or ↓). 6. Trend flip instantly resets all levels and begins tracking pivots on the opposite side. 🔵 HOW TO USE Breakout Trading — Enter long on “↑” and short on “↓” signals when price breaks key pivot structure. Trend Confirmation — Use the JurikMA color to stay aligned with the main trend direction. Reversals — Trend flips often mark major turning points. Structure Mapping — Use the horizontal breakout lines to understand how close price is to confirming a new trend leg. 🔵 CONCLUSION Jurik MA Trend Breakouts combines the speed of a Jurik MA with structural breakout logic to deliver clean, reliable entry signals. Its minimal design, pivot-based confirmation, and trend-aligned logic make it suitable for scalping, swing trading, and intraday trend continuation setups. If you want fast yet filtered breakout recognition with almost zero noise, this tool gives you everything you need.
Pine Script® indicator
by BigBeluga
22
Futures Basis SuiteThe Futures Basis Suite measures the price difference between futures contracts of different expiration months. This difference, called the basis or spread, reveals critical information about supply and demand dynamics, market sentiment, and the cost of carrying a commodity over time. When futures prices for later months are higher than near-term prices, the market is in contango. When near-term prices exceed later month prices, the market is in backwardation. These two states tell very different stories about what is happening in the physical commodity market. HOW IT WORKS The indicator fetches price data from two futures contract months using TradingView continuous contract symbols. For example, GC1 represents the front month gold contract and GC2 represents the second month contract. The indicator calculates the difference between these prices and expresses it in multiple ways: as an absolute dollar value, as a percentage of the front month price, as an annualized rate, and as a statistical z-score. The core calculation is simple. Basis equals Front Month Price minus Back Month Price. A negative result means the back month is more expensive than the front month, which is contango. A positive result means the front month is more expensive, which is backwardation. The indicator automatically detects what commodity you are viewing and selects the appropriate futures symbols. You can also manually select from a dropdown list or enter custom symbols if needed. CONTANGO AND BACKWARDATION EXPLAINED Contango is the normal state for most commodity markets. When a market is in contango, futures prices increase as you look further into the future. This happens because holding a physical commodity costs money. You need to pay for storage, insurance, and financing. These carrying costs get priced into futures contracts. The further out the contract, the more carrying costs accumulate, so the price is higher. Backwardation is the opposite and signals something unusual is happening. When a market is in backwardation, near-term prices are higher than future prices. This occurs when there is immediate demand for the physical commodity that exceeds available supply. Buyers are willing to pay a premium to get delivery now rather than wait. This is often called convenience yield because there is value in having the physical commodity in hand. Backwardation typically occurs during supply disruptions, unexpected demand spikes, low inventory levels, or geopolitical events that threaten supply chains. It is generally considered a bullish signal because it indicates tight physical supply conditions. SPECIAL NOTE FOR PRECIOUS METALS Gold and silver are almost always in contango. This is normal and expected. These metals have very low storage costs relative to their value, they do not spoil or degrade, and massive above-ground stockpiles exist. Backwardation in precious metals is extremely rare and historically significant. For precious metals, the key signal is not whether the market is in contango or backwardation, but how deep the contango is. A flattening contango, where the spread becomes less negative, indicates tightening physical supply and is bullish for prices. A deepening contango indicates ample supply and is neutral to bearish. When precious metals actually flip to backwardation, it signals severe physical stress in the market. This has only happened a handful of times in modern history, including during the Hunt Brothers silver squeeze in 1980, briefly during the 2008 financial crisis, during COVID supply chain disruptions in 2020, and during the silver squeeze of October 2025. SCIENTIFIC BACKGROUND The theory of storage, developed by economists Holbrook Working and Nicholas Kaldor in the 1930s and 1940s, explains the relationship between spot and futures prices. According to this theory, the futures price equals the spot price plus carrying costs minus convenience yield. Carrying costs include storage fees, insurance premiums, and the interest cost of tying up capital in inventory. These costs are relatively stable and predictable. Convenience yield is the benefit of holding physical inventory, which allows a business to maintain operations without disruption. When inventories are high, convenience yield is low because additional inventory provides little marginal benefit. When inventories are low, convenience yield rises sharply because having physical material becomes critical. Academic research has documented profitable trading strategies based on term structure signals. A 2011 study published in the Journal of Banking and Finance found that combining momentum signals with term structure signals generated annualized returns of 21 percent, significantly outperforming strategies using only one signal. The strategy involves buying commodities in backwardation and selling commodities in contango. The term structure also affects the returns of investors holding futures positions over time. This effect is called roll yield. When rolling a futures position from an expiring contract to the next month, investors in contango markets must sell low and buy high, creating negative roll yield. Investors in backwardated markets sell high and buy low, generating positive roll yield. This can significantly impact long-term returns on commodity investments. ANALYSIS MODES Basis Spread mode shows the raw dollar difference between contract months. This is useful for seeing the actual cost in currency terms. For a gold contract, a basis of negative 5 means the second month is 5 dollars more expensive per ounce than the front month. Basis Percentage mode expresses the spread as a percentage of the front month price. This makes it easier to compare across different commodities and time periods. A basis of negative 0.5 percent is a small contango regardless of whether you are looking at gold at 2000 dollars or silver at 30 dollars. Annualized Basis mode extrapolates the current spread to a yearly rate. If the spread between month 1 and month 2 is negative 0.5 percent and there are 30 days between contracts, the annualized basis would be approximately negative 6 percent. This helps compare the cost of carry to interest rates and evaluate whether the spread is normal given current financing costs. Z-Score mode normalizes the current basis against its historical distribution. A z-score of zero means the basis is at its historical average. A z-score of positive 2 means the basis is 2 standard deviations above average, indicating unusually strong backwardation or unusually flat contango. A z-score of negative 2 means unusually deep contango. Extreme z-scores often precede mean reversion. Term Structure mode plots multiple spread comparisons simultaneously, showing the shape of the entire futures curve. This helps visualize whether the curve is uniformly sloped or has kinks and irregularities. Raw Debug mode displays the underlying contract prices and calculation details for troubleshooting data issues. IMPORTANT SETTINGS Symbol Mode determines how the indicator finds the futures contracts to compare. Auto Detect reads the symbol from your chart and constructs the appropriate continuous contract symbols. Dropdown lets you select from a predefined list of common commodities. Manual lets you enter custom ticker symbols directly. Spread Pair selects which contract months to compare. Front versus 2nd Month compares the nearest contract to the next one, which is the most liquid spread. Front versus 3rd Month captures more of the curve shape but may have less liquidity. Other combinations are available for specific spread trading strategies. Days Between Contracts affects the annualized basis calculation. Different commodities have different contract cycles. Gold and silver typically have monthly contracts, so 30 days is appropriate. Agricultural commodities may have contracts every 2 or 3 months. Adjust this setting based on the commodity you are analyzing. Z-Score Length sets the lookback period for calculating the statistical average and standard deviation. A setting of 52 on a daily chart looks back approximately one year. Shorter periods make the z-score more responsive but also more noisy. Longer periods provide more stable readings but may miss regime changes. Contango Threshold and Backwardation Threshold set the percentage levels where the indicator classifies the market as being in contango or backwardation versus flat. The defaults are negative 0.5 percent for contango and positive 0.5 percent for backwardation. Spreads between these thresholds are classified as flat. Extreme Z-Score sets the threshold for highlighting statistical extremes. The default of 2.0 corresponds roughly to the 95th percentile, meaning the current spread is more extreme than 95 percent of historical observations. Invert Spread flips the calculation to show Back Month minus Front Month instead of Front Month minus Back Month. This is useful if you are trading a calendar spread where you are short the front month and long the back month, or if you prefer the convention where positive values indicate contango. INTERPRETING THE DASHBOARD The dashboard displays key metrics at a glance. Basis shows the current absolute spread value. Basis percentage shows the spread relative to the front month price. Regime displays whether the market is currently in contango, backwardation, or flat. Z-Score shows how the current spread compares to history, with labels indicating whether the reading is normal, elevated, or extreme. Front and Back show the actual contract prices being compared. Annualized shows the spread extrapolated to a yearly rate. Max and Min show the highest and lowest basis percentages observed over the lookback period. These help contextualize whether the current reading is near historical extremes. The footer shows the data source status, confirming which symbols are being used and whether valid data is available. HOW TO INTERPRET FOR PRECIOUS METALS For gold and silver, the indicator will almost always show red indicating contango. This is normal. Focus on these signals instead. Flattening contango occurs when the basis percentage moves toward zero, becoming less negative. For example, if the basis moves from negative 1.0 percent to negative 0.3 percent, contango is flattening. This indicates tightening physical supply and is bullish for prices. The Z-score will move higher, toward positive values. Deepening contango occurs when the basis percentage moves further negative. For example, if the basis moves from negative 0.5 percent to negative 1.2 percent, contango is deepening. This indicates ample supply and reduced urgency for physical delivery. It is neutral to bearish. The Z-score will move lower, toward negative values. Backwardation is extremely rare for precious metals. If the indicator turns green showing positive basis, this is a major event indicating severe physical market stress. Historically, this has preceded significant price rallies. TRADING APPLICATIONS Regime flips from contango to backwardation often signal significant shifts in market dynamics. When a commodity that has been in contango for an extended period suddenly flips to backwardation, it may indicate emerging supply tightness or demand strength. This can be an early warning of price rallies. Extreme z-scores suggest the current spread is unsustainable and likely to revert toward normal levels. If a commodity is in extreme backwardation with a z-score above 2, the spread may narrow as supply conditions normalize. If a commodity is in extreme contango with a z-score below negative 2, the spread may narrow as excess supply gets absorbed. Comparing basis behavior during price moves provides insight into what is driving the move. If prices rally sharply but the basis remains in contango or even deepens, the rally may be driven by speculative buying rather than physical demand. If prices rally and the basis flattens or flips to backwardation, physical tightness is likely supporting the move. For investors holding futures positions or commodity ETFs, monitoring the basis helps understand roll yield drag. Deep contango markets impose significant costs on long holders over time. Backwardated markets provide tailwinds to long positions through positive roll yield. ALERTS The indicator provides several alert conditions. Regime Flip alerts trigger when the market crosses from contango to backwardation or vice versa. Extreme Z-Score alerts trigger when the spread reaches statistical extremes. Spread Expanding alerts trigger when the basis is widening rapidly, which may indicate increasing market stress. SUPPORTED COMMODITIES The indicator supports major futures across multiple asset classes. Metals include gold, silver, and copper traded on COMEX. Energy includes crude oil and natural gas traded on NYMEX. Agriculture includes wheat, corn, and soybeans traded on CBOT. Financials include E-mini S&P 500, E-mini Nasdaq, and Treasury futures traded on CME. Currencies include Euro and Yen futures. Cryptocurrency includes CME Bitcoin futures. LIMITATIONS The indicator relies on TradingView continuous contract data, which may have artifacts around contract rollovers. The days between contracts setting is approximate and varies by commodity and market conditions. Very short-term timeframes may show noise in the basis calculation. Some commodities may have limited data history for statistical analysis. The indicator shows the spread between specific contract months, not the full futures curve with all available contracts. VERSION HISTORY Version 1 released with six analysis modes, automatic symbol detection, comprehensive dashboard, statistical regime detection, and configurable alerts. CREDITS Developed by Robinhodl21 as part of the Grandmaster Indicator Suite. Released under Mozilla Public License 2.0.
Pine Script® indicator
by Robinhodl21
EMA & VWAP Crossover SignalsEMA And VWAP Crossover Signals Overview The **EMA & VWAP Crossover Signals** indicator is a comprehensive trading tool that combines the power of Exponential Moving Averages (EMA) and Volume Weighted Average Price (VWAP) to identify high-probability trading opportunities. This indicator automatically detects and classifies bullish and bearish signals based on the relationship between price action, EMAs, and VWAP. Key Features Technical Components - **EMA 9** (Green Line): Fast-moving average for short-term trend identification - **EMA 21** (Red Line): Slower-moving average for medium-term trend confirmation - **VWAP** (Blue Line): Volume-weighted average price calculated using HLC/3 (High, Low, Close average) Signal Types Standard Signals - **Bull Signal**: Small green triangle when EMA 9 crosses above EMA 21 - **Bear Signal**: Small red triangle when EMA 9 crosses below EMA 21 Enhanced Signals - **Big Bull Signal**: Larger green triangle indicating stronger bullish momentum - **Big Bear Signal**: Larger red triangle indicating stronger bearish momentum How It Works Big Bull Conditions (Strong Bullish Signals) The indicator identifies four scenarios for Big Bull signals: 1. **Direct Breakout**: Bullish EMA crossover occurs when both EMAs are already above VWAP 2. **Delayed Confirmation**: After a bullish EMA crossover below VWAP, the candle closes above VWAP 3. **Simultaneous Break (From Below)**: Bullish EMA crossover and candle close above VWAP happen together while EMA 21 is below VWAP 4. **Simultaneous Break (From Above)**: Bullish EMA crossover with candle closing above both EMAs while VWAP is below the crossover point Big Bear Conditions (Strong Bearish Signals) Mirror scenarios for bearish signals: 1. **Direct Breakdown**: Bearish EMA crossover occurs when both EMAs are already below VWAP 2. **Delayed Confirmation**: After a bearish EMA crossover above VWAP, the candle closes below VWAP 3. **Simultaneous Break (From Above)**: Bearish EMA crossover and candle close below VWAP happen together while EMA 21 is above VWAP 4. **Simultaneous Break (From Below)**: Bearish EMA crossover with candle closing below both EMAs while VWAP is above the crossover point Trading Applications - **Trend Identification**: Use EMA crossovers to identify trend direction changes - **Volume Confirmation**: VWAP integration ensures institutional support for moves - **Entry Timing**: Big signals indicate higher-probability entry points with volume and trend alignment - **Risk Management**: Standard signals can be used for early alerts, while Big signals confirm stronger setups Visual Elements - Clean, color-coded plots for easy identification - Triangle shapes for quick signal recognition - Text labels for clarity - Size differentiation between standard and enhanced signals Best Practices - Use Big Bull/Bear signals for higher-confidence trades - Combine with other analysis tools for confirmation - Consider timeframe appropriateness (works on all timeframes) - Watch for signal alignment with overall market structure - Standard signals can provide early warnings, but Big signals offer better risk/reward Unique Advantages - Multi-scenario signal detection captures various market conditions - Volume integration via VWAP filters out weak moves - Smart tracking system prevents duplicate signals - Automatic signal classification saves analysis time **Disclaimer**: This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always practice proper risk management and combine with fundamental analysis and other technical tools.
Pine Script® indicator
by poornachandu5
Promethus █ OVERVIEW HPT Master Suite is an all-in-one institutional trading toolkit combining multi-timeframe analysis, Smart Money Concepts (SMC), and volume-based detection systems. █ FEATURES MTF DASHBOARD - Real-time analysis across 9 timeframes (1M to Monthly) - MA alignment status with trend detection - RSI and squeeze monitoring - Macro data row (VIX, DXY, 10Y, OIL) - 5/20 and 9/21 cross confluence tracking SMART MONEY CONCEPTS - Volumetric Order Blocks with engagement detection - Fair Value Gaps with 50% CE line - Liquidity sweep detection - Unicorn Model (FVG + OB overlap) VOLUME ANALYSIS - Dynamic Volume Profile (POC, VAH, VAL) - High/Low Volume Nodes - Naked POC tracking - Absorption detection with strength gauge INSTITUTIONAL TOOLS - 55 SMA institutional support level - Significant wick levels - Session boxes (Asia, London, NYSE, Lunch, PM) - SMT Divergence detection SIGNALS - Buy/Sell signals with adjustable sensitivity - Golden/Death Cross alerts - OB engagement alerts █ USAGE Enable features as needed - all components are modular and can be toggled independently. Start with the dashboard and add SMC/volume tools based on your trading style. █ SETTINGS Most detection parameters use simplified controls (Low/Medium/High) for ease of use while maintaining effectiveness. █ NOTES Works best on futures (NQ, ES) and indices. Dashboard updates in real-time across all timeframes. For TradingView I am not redirecting, and or soliciting any service. If your interesting in learning more and how I trade with a 98% WR in options and above 80% in futures the links to my FREE site's are listed in my profile.
Pine Script® indicator
by Smalldikenergy
2
Fibonacci Levels by Speed Coding InfotechFibonacci Levels by Speed Coding Infotech is a powerful customizable Fibonacci-based level indicator designed for traders who want precise support and resistance zones on their charts. This indicator plots up to 20 upside levels and 20 downside levels, allowing complete flexibility in defining Fibonacci retracement and extension areas. ⸻ 🔥 Key Features: • Plots 20 Positive (Upside) Fibonacci Levels • Plots 20 Negative (Downside) Fibonacci Levels • Fully customizable level values and colors • Option to display levels only on the last X candles • Multi-timeframe support with custom timeframe input • Clean visual layout for intraday and swing trading ⸻ ⚙️ Inputs Included: • Consider Last N Candles (ignore running candle) • Select custom Timeframe • Customize Fibonacci levels (0, 0.25, 0.5, 0.75 … up to 20+ levels) • Adjustable line colors for each level • Show lines only for the last X candles ⸻ 📌 Best Use Case: This indicator is ideal for: • Support & Resistance mapping • Fibonacci retracement trading • Target and reversal zone identification • Trend-based level projection ⸻ ⚠ Disclaimer: This indicator is created for educational and analysis purposes only. Speed Coding Infotech is not responsible for any trading losses. Please trade responsibly.
Pine Script® indicator
by Speed_Coding_infotech
VPG Multitimeframe TimerHere is a **professional English description** you can use when publishing your indicator on TradingView. --- ### 📌 VPG – Timer (Multi Timeframe Countdown Table) **VPG – Timer** is a professional multi-timeframe candle countdown indicator designed to help traders clearly see how much time remains before each candle closes across multiple timeframes. This indicator displays a clean and customizable table showing countdown timers for: * **15m** * **30m** * **1H** * **4H** * **Daily** * **Weekly** It uses TradingView’s `request.security()` with precise candle close time calculations, ensuring accurate countdown values even when viewing different chart timeframes. --- ### 🔑 Key Features ✅ **Multi-Timeframe Countdown** * View remaining time for several timeframes simultaneously in one table. ✅ **Accurate Candle Close Calculation** * Uses candle close timestamps instead of bar duration approximation. * Daily timeframe is calculated using **New York session close (17:00 NY time)** for consistency. ✅ **Color Warning System** * Background turns: * 🟠 Orange when less than 10 minutes remain * 🔴 Red when less than 5 minutes remain * Helps traders prepare for candle close decisions. ✅ **Customizable Table Position** * Choose vertical position: Top / Center / Bottom * Choose horizontal position: Left / Center / Right ✅ **Font Size & Transparency Control** * Adjustable font size (Tiny, Small, Normal, Large) * Adjustable table background opacity ✅ **Symbol Override** * Option to monitor countdown timers for a different symbol than the current chart. --- ### 🎯 Who Is This Indicator For? * Scalpers and intraday traders who need precise candle timing * Swing traders monitoring higher timeframe candle closes * Traders who rely on candle-close confirmation strategies * Anyone who wants a clean and professional countdown dashboard --- ### ⚙️ How It Works The indicator calculates remaining seconds until the next candle close for each timeframe using: * `request.security()` for intraday, H4, and weekly candles * New York session logic for Daily candles It then formats the time into **MM:SS** or **HH:MM:SS** and displays it in a table with visual warning colors as the candle approaches close. --- ### 🧩 Customization Options * Toggle countdown row on/off * Change table position * Change font size * Adjust background opacity * Override symbol to track another market --- ### ⚠️ Notes * This indicator does not repaint. * Uses dynamic security requests (optimized for multi-timeframe usage). * Designed for informational and timing purposes only (not a trading signal). --- If you want, I can also provide you with: ✅ a **short description (1–2 sentences)** ✅ a **feature bullet list version** ✅ a **marketing-style description** ✅ a **technical description for developers** Just say which one you want: **short / bullet / marketing / technical**
Pine Script® indicator
by nizarmahroussy
LC Candle Size (Avg of Last 5)Candle Size (Avg of Last 5) is a lightweight volatility tool that measures the size of each candle and plots it as a histogram. It also calculates the average candle size of the last 5 bars to help identify expanding or contracting volatility. Users can choose between: • High–Low Range • Candle Body (Open–Close) • True Range Ideal for scalpers and intraday traders who want a quick visual of momentum and candle strength.
Pine Script® indicator
by leswin_trades
PSP ETF 20% Drop BuyScript Description Overview The PSP ETF 20% Drop Buy indicator is a specialized tool designed for long-term ETF investors. It identifies significant price drops (drawdowns) relative to the previous day's closing price, signaling potential "buy-the-dip" opportunities for those following a disciplined accumulation strategy. Key Features Customizable Drop Threshold: Defaulted to 20%, but can be adjusted in the settings to capture smaller or larger swings (e.g., 5%, 10%, or 30%). Visual Signals: Automatically plots a green "BUY" label on the chart when the current low hits the specified percentage drop from the previous day's close. Dashboard Table: Displays a clean on-chart table showing strategy parameters, including timeframes and specific rules for "Silver" and "Gold" entry levels. Built-in Alerts: Includes an alert condition to notify you instantly when the drop criteria are met, so you don't have to stare at the screen. How to Use Apply to Daily Chart: This script is optimized for the daily (D) timeframe. Settings: Adjust the Drop % based on the volatility of the specific ETF or instrument you are trading. Strategy: Use the "Gold" and "Silver" guidelines in the info table to manage position sizing—buying more aggressively as the asset hits deeper discount levels.
Pine Script® indicator
by pushpandrasingh
JB Trader - Scenario B: Visual Pro (Nifty 50)Description: Designed and developed by Jeya Bharathi (JB), Founder of JB Trader. This is a high-precision scalping strategy specifically optimized for Nifty 50 and Bank Nifty. It combines trend-following logic with momentum and volume confirmation to capture quick moves in the intraday market. Key Features: Multi-Indicator Synergy: Integrates SuperTrend for trend direction and VWAP for institutional price alignment. Candle Break Confirmation: Entries are triggered only when a price break occurs (High/Low) on the signal candle, ensuring momentum is on our side. Volume Filter: Built-in volume analysis to filter out "false breakouts" during low-liquidity periods. Visual Dashboard: Real-time on-chart table showing current trend status and decision-making (Buy/Sell/Wait). Time-Restricted Trading: Optimized for Indian market hours (9:15 AM - 2:45 PM) to avoid end-of-day volatility. Best Performance: Timeframe: 3 Minutes or 5 Minutes. Asset: Nifty 50 Index / Futures. Declaration & Disclaimer: Educational Purpose: This script is developed for educational and analytical purposes only. Risk Warning: Trading involves significant risk. JB Trader is not responsible for any financial losses incurred using this strategy. No Financial Advice: The signals generated by this script do not constitute financial advice. Users should consult a certified financial advisor before making any investment decisions. Proprietary Logic: This code is the intellectual property of JB Trader (Jeya Bharathi). Unauthorized reproduction or redistribution is strictly prohibited.
Pine Script® strategy
by jbtraderofficial
Adaptive MTF EMA (auto TF)Adaptive MTF EMA (Auto TF) — Mid & Slow EMA that adjusts with chart timeframe by @theadventuredan This indicator plots two Higher-Timeframe EMAs (a Mid and a Slow EMA) on your current chart — but unlike normal MTF EMA scripts, the higher timeframes adapt automatically when you change the chart timeframe. Instead of having to reconfigure TFs every time you switch from 5m to 15m to 1h, the indicator keeps the same “relationship” by using timeframe multipliers: Mid TF = current chart TF × Mid Multiplier Slow TF = current chart TF × Slow Multiplier Example (default multipliers: 3× and 12×): On 5m: Mid = 15m, Slow = 60m On 15m: Mid = 45m, Slow = 180m (3h) On 1h: Mid = 3h, Slow = 12h This is especially useful if you use MTF EMA alignment as a trend filter (e.g., Mid EMA above Slow EMA = bullish bias). How it works The script reads your current chart timeframe using timeframe.in_seconds(timeframe.period) and converts it into minutes. It calculates the adaptive MTF targets: midMin = curMin × midMult slowMin = curMin × slowMult It requests the EMA from those higher timeframes via request.security() and plots them on your chart. Optional: A label can display the currently calculated Mid and Slow TFs (in minutes). Inputs EMA Length: EMA period (default 50) Mid TF Multiplier: how many times higher the mid timeframe should be (default 3) Slow TF Multiplier: how many times higher the slow timeframe should be (default 12) Use confirmed HTF values (safer): When enabled, the script uses the previous HTF EMA value (EMA ) to reduce behavior caused by partially formed higher-timeframe candles. This may lag slightly but is often preferred for signal consistency. Show TF label: shows a label with the current adaptive TFs Notes / Limitations Because the higher timeframe is derived by multiplication, some results may produce less common timeframes (e.g., 45m or 12h). This is expected. MTF values depend on request.security() and will always reflect higher-timeframe candle logic (especially during an unclosed HTF candle). If you want less “in-progress candle” behavior, enable Use confirmed HTF values. This is an EMA overlay tool — not a standalone buy/sell system. Suggested usage Trend bias filter: Mid EMA > Slow EMA = bullish bias, Mid < Slow = bearish bias Entry alignment: use the adaptive EMAs as “context” while trading lower TF setups Dynamic market structure: switch timeframes while keeping consistent “one step higher / two steps higher” EMA reference
Pine Script® indicator
by d_jaeger
Vegas Triple Tunnel (CGYJ Pro)维加斯三通道（Vegas Tunnel） 指标简介 维加斯三通道是由职业交易员Vegas开发的经典趋势跟踪系统，通过三组EMA均线构建短期、中期、长期三层通道，帮助交易者识别趋势方向和最佳入场时机。 通道结构 通道均线用途短期EMA 21 / 26短线趋势、快速入场中期EMA 144 / 169核心趋势判断、标准入场长期EMA 576 / 676大趋势方向、重要支撑阻力 使用方法 多头排列：短期通道 > 中期通道 > 长期通道，逢回调做多 空头排列：短期通道 < 中期通道 < 长期通道，逢反弹做空 回调入场：价格回踩通道后反弹是最佳入场点 适用范围 适用于所有品种和周期，H1、H4、日线效果最佳。 Vegas Triple Tunnel Overview The Vegas Triple Tunnel is a classic trend-following system developed by professional trader Vegas. It uses three pairs of EMA lines to construct short-term, medium-term, and long-term channels, helping traders identify trend direction and optimal entry points. Channel Structure Short-term Channel: EMA 21 / 26 - For quick trend identification and short-term entries Medium-term Channel: EMA 144 / 169 - Core trend judgment and standard entries Long-term Channel: EMA 576 / 676 - Major trend direction and key support/resistance levels How to Use Bullish Alignment: Short > Medium > Long channel, look for pullback entries to go long Bearish Alignment: Short < Medium < Long channel, look for bounce entries to go short Best Entry: Price pullback to channel and bounce provides optimal entry opportunities Applicable Markets Works on all instruments and timeframes. Best results on H1, H4, and Daily charts.
Pine Script® indicator
by CGYJPro