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UM Premarket Volume DashboardSUMMARY Do you track the largest percent movers in the premarket? Instantly compare current premarket volume to its recent average with built-in trend confirmation. ⸻ DESCRIPTION This indicator is a compact premarket intelligence dashboard that combines live volume analysis with adaptive trend detection. It highlights unusually strong premarket activity while confirming directional bias using either a Nadaraya–Watson Estimator (NWE) or traditional moving averages. The goal is to quickly identify symbols that are both active and aligned with trend before the regular trading session begins. ⸻ HOW IT WORKS • Calculates average daily volume using a 50-day rolling average • Tracks live premarket volume between 04:00–09:30 (exchange time) • Computes a rolling average of prior premarket sessions and blends in the current day’s partial premarket volume in real time • Highlights premarket volume in dark green when it exceeds both a user-defined threshold and the rolling premarket average • Determines bullish or bearish trend status using a selectable method: • Nadaraya–Watson Estimator (NWE) • EMA, WMA, or SMA • Trend status is based on directional slope (current value vs prior bar) • Displays percent gain from the previous regular-session close (4:00pm ET) • Shows total shares outstanding for quick liquidity context (when available) ⸻ DEFAULT SETTINGS • Trend Method: Nadaraya–Watson Estimator (NWE) • NWE Lookback Window (h): 8 • NWE Relative Weighting (r): 8 • Regression Length: 120 bars • Premarket Average Days: 10 • Premarket Green Volume Threshold: 50,000 shares • Average Daily Volume: 50-day SMA • Trend Source: Close ⸻ SUGGESTED SETTINGS AND USES • Use the default NWE settings for smoother, adaptive trend confirmation, especially on lower timeframes (1–5 minute charts) during premarket • Switch to EMA or WMA if you prefer faster trend flips or want behavior consistent with MA-based systems • Increase the Premarket Volume Threshold for large-cap stocks or ETFs to reduce noise • Decrease the threshold for small-cap stocks to surface early momentum names Ideal for: • Premarket gap scanners • Momentum continuation setups • Liquidity confirmation before market open • Building dynamic watchlists for the opening bell This indicator is best used as a filtering and confirmation tool, not as a standalone entry signal.
Indicador Pine Script®
por UnderwearMillionaire
Trend Regime Bands (EMA 50 / 150 / 200)📘 Trend Regime Bands – EMA 50·150·200 Overview Trend Regime Bands is a visual trend-context indicator designed to help users quickly understand whether the market is in a bullish or bearish regime. The indicator uses the alignment of EMA 50, EMA 150, and EMA 200 to determine overall trend direction, while additional EMAs are used only to create color-based bands for visual context. No buy or sell signals are generated. How Trend Direction Is Determined Trend direction is derived exclusively from the relative positioning of: EMA 50 (short-term trend) , EMA 150 (medium-term trend) , EMA 200 (long-term trend) . Bullish regime: EMA 50 ≥ EMA 150 ≥ EMA 200 . Bearish regime: EMA 50 < EMA 150 < EMA 200. These three EMAs act as the decision framework for the indicator. What the Color Bands Represent : The indicator displays two visual bands on the chart: Fast Band (Momentum Context) - Built using faster EMAs, Represents short-term momentum and pullback behavior. Brighter color intensity reflects stronger momentum Slow Band (Regime Context) - Built using slower EMAs. Represents broader trend structure and regime stability.Deeper color intensity reflects stronger trend alignment The color of both bands follows the trend direction determined by EMA 50/150/200: Green shades indicate a bullish regime. Red shades indicate a bearish regime. Color intensity increases or decreases smoothly based on trend strength. How to Use This Indicator Use the bands to understand market context, not as entry or exit signals. Strong, bright bands suggest a well-established trend. Lighter bands indicate weaker or transitioning trends. The indicator works across intraday, swing, and higher timeframes. This tool is best used alongside price action, support/resistance, or other confirmation methods. Important Notes This indicator does not provide buy or sell signals. It does not predict future price movement. It is intended solely as a visual trend-regime and context tool Summary Trend Regime Bands offers a clean, distraction-free way to visualize bullish and bearish market regimes using EMA structure and color intensity, helping traders maintain directional awareness and discipline.
Indicador Pine Script®
por Market_Logic_India
ATR-Normalized VWMA DeviationThis indicator measures how far price deviates from the Volume-Weighted Moving Average ( VWMA ), normalized by market volatility ( ATR ). It identifies significant price reversal points by combining price structure and volatility-adjusted deviation behavior. The core idea is to use VWMA as a dynamic trend anchor, then measure how far price travels away from it relative to recent volatility . This helps highlight when price has stretched too far and may be due for a reversal or pullback. How it works: VWMA deviation is calculated as the difference between price and the VWMA. That deviation is divided by ATR (Average True Range) to normalize for current volatility. The script tracks the highest and lowest normalized deviations over the chosen lookback period. It also tracks price structure (highest/lowest highs/lows) over the same period. A reversal signal is generated when a historical extreme in deviation aligns with a price structure extreme, and a confirmed reversal candle forms. You get visual signals and color highlights where these conditions occur. Settings explained: Lookback period defines how many bars the script uses to find recent extremes. ATR length controls how volatility is measured. VWMA length controls how the volume-weighted moving average is calculated. Signal filters help refine entries based on price vs deviation behavior. Display options let you customize how signals and levels appear on the chart. This indicator is especially useful for spotting potential turning points where price has moved far from VWMA relative to volatility, suggesting possible exhaustion or overextension. Tips for use: Combine with broader trend context (higher timeframe support/resistance). Use with risk management rules (position sizing, stops) — signals are guides, not guaranteed entries. Adjust lookback and ATR settings based on your trading timeframe and asset volatility.
Indicador Pine Script®
por exploretranspose
2
Adaptive ML Trailing Stop [BOSWaves]Adaptive ML Trailing Stop – Regime-Aware Risk Control with KAMA Adaptation and Pattern-Based Intelligence Overview Adaptive ML Trailing Stop is a regime-sensitive trailing stop and risk control system that adjusts stop placement dynamically as market behavior shifts, using efficiency-based smoothing and pattern-informed biasing. Instead of operating with fixed ATR offsets or rigid trailing rules, stop distance, responsiveness, and directional treatment are continuously recalculated using market efficiency, volatility conditions, and historical pattern resemblance. This creates a live trailing structure that responds immediately to regime change - contracting during orderly directional movement, relaxing during rotational conditions, and applying probabilistic refinement when pattern confidence is present. Price is therefore assessed relative to adaptive, condition-aware trailing boundaries rather than static stop levels. Conceptual Framework Adaptive ML Trailing Stop is founded on the idea that effective risk control depends on regime context rather than price location alone. Conventional trailing mechanisms apply constant volatility multipliers, which often results in trend suppression or delayed exits. This framework replaces static logic with adaptive behavior shaped by efficiency state and observed historical outcomes. Three core principles guide the design: Stop distance should adjust in proportion to market efficiency. Smoothing behavior must respond to regime changes. Trailing logic benefits from probabilistic context instead of fixed rules. This shifts trailing stops from rigid exit tools into adaptive, regime-responsive risk boundaries. Theoretical Foundation The indicator combines adaptive averaging techniques, volatility-based distance modeling, and similarity-weighted pattern analysis. Kaufman’s Adaptive Moving Average (KAMA) is used to quantify directional efficiency, allowing smoothing intensity and stop behavior to scale with trend quality. Average True Range (ATR) defines the volatility reference, while a K-Nearest Neighbors (KNN) process evaluates historical price patterns to introduce directional weighting when appropriate. Three internal systems operate in tandem: KAMA Efficiency Engine : Evaluates directional efficiency to distinguish structured trends from range conditions and modulate smoothing and stop behavior. Adaptive ATR Stop Engine : Expands or contracts ATR-derived stop distance based on efficiency, tightening during strong trends and widening in low-efficiency environments. KNN Pattern Influence Layer : Applies distance-weighted historical pattern outcomes to subtly influence stop placement on both sides. This design allows stop behavior to evolve with market context rather than reacting mechanically to price changes. How It Works Adaptive ML Trailing Stop evaluates price through a sequence of adaptive processes: Efficiency-Based Regime Identification : KAMA efficiency determines whether conditions favor trend continuation or rotational movement, influencing stop sensitivity. Volatility-Responsive Scaling : ATR-based stop distance adjusts automatically as efficiency rises or falls. Pattern-Weighted Adjustment : KNN compares recent price sequences to historical analogs, applying confidence-based bias to stop positioning. Adaptive Stop Smoothing : Long and short stop levels are smoothed using KAMA logic to maintain structural stability while remaining responsive. Directional Trailing Enforcement : Stops advance only in the direction of the prevailing regime, preserving invalidation structure. Gradient Distance Visualization : Gradient fills reflect the relative distance between price and the active stop. Controlled Interaction Markers : Diamond markers highlight meaningful stop interactions, filtered through cooldown logic to reduce clustering. Together, these elements form a continuously adapting trailing stop system rather than a fixed exit mechanism. Interpretation Adaptive ML Trailing Stop should be interpreted as a dynamic risk envelope: Long Stop (Green) : Acts as the downside invalidation level during bullish regimes, tightening as efficiency improves. Short Stop (Red) : Serves as the upside invalidation level during bearish regimes, adjusting width based on efficiency and volatility. Trend State Changes : Regime flips occur only after confirmed stop breaches, filtering temporary price spikes. Gradient Depth : Deeper gradient penetration indicates increased extension from the stop rather than imminent reversal. Pattern Influence : KNN weighting affects stop behavior only when historical agreement is strong and remains neutral otherwise. Distance, efficiency, and context outweigh isolated price interactions. Signal Logic & Visual Cues Adaptive ML Trailing Stop presents two primary visual signals: Trend Transition Circles : Display when price crosses the opposing trailing stop, confirming a regime change rather than anticipating one. Stop Interaction Diamonds : Indicate controlled contact with the active stop, subject to cooldown filtering to avoid excessive signals. Alert generation is limited to confirmed trend transitions to maintain clarity. Strategy Integration Adaptive ML Trailing Stop fits within trend-following and risk-managed trading approaches: Dynamic Risk Framing : Use adaptive stops as evolving invalidation levels instead of fixed exits. Directional Alignment : Base execution on confirmed regime state rather than speculative reversals. Efficiency-Based Tolerance : Allow greater price fluctuation during inefficient movement while enforcing tighter control during clean trends. Pattern-Guided Refinement : Let KNN influence adjust sensitivity without overriding core structure. Multi-Timeframe Context : Apply higher-timeframe efficiency states to inform lower-timeframe stop responsiveness. Technical Implementation Details Core Engine : KAMA-based efficiency measurement with adaptive smoothing Volatility Model : ATR-derived stop distance scaled by regime Machine Learning Layer : Distance-weighted KNN with confidence modulation Visualization : Directional trailing stops with layered gradient fills Signal Logic : Regime-based transitions and controlled interaction markers Performance Profile : Optimized for real-time chart execution Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Tight adaptive trailing for short-term momentum control 15 - 60 min : Structured intraday trend supervision 4H - Daily : Higher-timeframe regime monitoring Suggested Baseline Configuration: KAMA Length : 20 Fast/Slow Periods : 15 / 50 ATR Period : 21 Base ATR Multiplier : 2.5 Adaptive Strength : 1.0 KNN Neighbors : 7 KNN Influence : 0.2 These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive chop or overreaction : Increase KAMA Length, Slow Period, and ATR Period to reinforce regime filtering. Stops feel overly permissive : Reduce the Base ATR Multiplier to tighten invalidation boundaries. Frequent false regime shifts : Increase KNN Neighbors to demand stronger historical agreement. Delayed adaptation : Decrease KAMA Length and Fast Period to improve responsiveness during regime change. Adjustments should be incremental and evaluated over multiple market cycles rather than isolated sessions. Performance Characteristics High Effectiveness: Markets exhibiting sustained directional efficiency Instruments with recurring structural behavior Trend-oriented, risk-managed strategies Reduced Effectiveness: Highly erratic or event-driven price action Illiquid markets with unreliable volatility readings Integration Guidelines Confluence : Combine with BOSWaves structure or trend indicators Discipline : Follow adaptive stop behavior rather than forcing exits Risk Framing : Treat stops as adaptive boundaries, not forecasts Regime Awareness : Always interpret stop behavior within efficiency context Disclaimer Adaptive ML Trailing Stop is a professional-grade adaptive risk and regime management tool. It does not forecast price movement and does not guarantee profitability. Results depend on market conditions, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates structure, volatility, and contextual risk management.
Indicador Pine Script®
por BOSWaves
3
TwinSmooth ATR Bands | QuantEdgeBTwinSmooth ATR Bands | QuantEdgeB 🔍 Overview TwinSmooth ATR Bands | QuantEdgeB is a dual-smoothing, ATR-adaptive trend filter that blends two complementary smoothing engines into a single baseline, then builds dynamic ATR bands around it to detect decisive breakouts. When price closes above the upper band it triggers a Long regime; when it closes below the lower band it flips to Short—otherwise it stays neutral. The script enhances clarity with regime-colored candles, an active-band fill, and an optional on-chart backtest table. ✨ Key Features 1. 🧠 Twin-Smooth Baseline (Dual Engine Blend) - Computes two separate smoothed baselines (a slower “smooth” leg + a faster “responsive” leg). - Blends them into a single midpoint baseline for balanced stability + speed. - Applies an extra EMA smoothing pass to produce a clean trend_base. 2. 📏 ATR Volatility Bands - Builds upper/lower bands using ATR × multiplier around the trend_base. - Bands expand in volatile conditions and contract when markets quiet down—auto-adapting without manual tweaks. 3. ⚡ Clear Breakout Regime Logic - Long when close > upperBand. - Short when close < lowerBand. - Neutral otherwise (no forced signals inside the band zone). 4. 🎨 Visual Clarity - Plots only the active band (lower band in long regime, upper band in short regime). - Fills between active band and price for instant regime context. - Colors candles to match the current state (bullish / bearish / neutral). - Multiple color palettes + transparency control. 💼 Use Cases • Trend Confirmation Filter: Use the regime as a higher-confidence trend gate for entries from other indicators. • Breakout/Breakdown Trigger: Trade closes outside ATR bands to catch momentum expansions. • Volatility-Aware Stops/Targets: Bands naturally reflect volatility, making them useful as adaptive reference levels. • Multi-Timeframe Alignment: Confirm higher-timeframe regime before executing on lower timeframes. 🎯 For Who • Trend Traders who want clean regime shifts without constant whipsaw. • Breakout Traders who prefer confirmation via ATR expansion rather than raw MA crossovers. • System Builders needing a simple, robust “state engine” (Long / Short / Neutral) to plug into larger strategies. • Analysts who want quick on-chart validation with a backtest table. ⚙️ Default Settings • SMMA Length (Base Smooth Leg): 24 • TEMA Length (Base Responsive Leg): 8 • EMA Extra Smoothing: 14 • ATR Length: 14 • ATR Multiplier: 1.1 • Color Mode: Alpha • Color Transparency: 30 • Backtest Table: On (toggleable) • Backtest Start Date: 09 Oct 2017 • Labels: Off by default 📌 Conclusion TwinSmooth ATR Bands | QuantEdgeB merges a dual-speed smoothing core into a single trend baseline, then wraps it with ATR-based bands to deliver clean, volatility-adjusted breakout signals. With regime coloring, active-band plotting, and optional backtest stats, it’s a compact, readable tool for spotting momentum shifts and trend continuation across any market and timeframe. 🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading. 🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Indicador Pine Script®
por BaseTrustCapital
4
UVOL Thrust TrackerUVOL Thrust Tracker identifies institutional breadth thrusts using NYSE up-volume as a percentage of total volume (USI:UVOL / USI:TVOL), plotted directly on price. The indicator highlights: TRUE 90% UVOL thrusts (rare, high-conviction breadth events) Surrogate thrust clusters (multi-day 80–89% participation) Cluster failures (momentum that fails to expand) Structural thrust failures (2022-style false starts) A regime filter based on the chart symbol’s moving averages separates bull vs bear environments, dynamically adjusting thresholds and failure logic. This tool is designed for regime confirmation and risk management, not short-term entries. TRUE thrusts typically confirm trend continuation, while failures warn when breadth support breaks down. Note: This indicator is intended for regime and risk assessment, not precise entries or exits.
Indicador Pine Script®
por Trend711
A-Share Broad-Based ETF Dual-Core Timing System1. Strategy Overview The "A-Share Broad-Based ETF Dual-Core Timing System" is a quantitative trading strategy tailored for the Chinese A-share market (specifically for broad-based ETFs like CSI 300, CSI 500, STAR 50). Recognizing the market's characteristic of "short bulls, long bears, and sharp bottoms," this strategy employs a "Left-Side Latency + Right-Side Full Position" dual-core driver. It aims to safely bottom-fish during the late stages of a bear market and maximize profits during the main ascending waves of a bull market. 2. Core Logic A. Left-Side Latency (Rebound/Bottom Fishing) Capital Allocation: Defaults to 50% position. Philosophy: "Buy when others fear." Seeks opportunities in extreme panic or momentum divergence. Entry Signals (Triggered by any of the following): Extreme Panic: RSI Oversold (<30) + Price below Bollinger Lower Band + Bullish Candle Close (Avoid catching falling knives). Oversold Bias: Price deviates more than 15% from the 60-day MA (Life Line), betting on mean reversion. MACD Bullish Divergence: Price makes a new low while MACD histogram does not, accompanied by strengthening momentum. B. Right-Side Full Position (Trend Following) Capital Allocation: Aggressively scales up to Full Position (~99%) upon signal trigger. Philosophy: "Follow the trend." Strike heavily once the trend is confirmed. Entry Signals (All must be met): Upward Trend: MACD Golden Cross + Price above 20-day MA. Breakout Confirmation: CCI indicator breaks above 100, confirming a main ascending wave. Volume Support: Volume MACD Golden Cross, ensuring price increase is backed by volume. C. Smart Risk Control Bear Market Exhaustion Exit: In a bearish trend (MA20 < MA60), the strategy does not "hold and hope." It immediately liquidates left-side positions upon signs of rebound exhaustion (breaking below MA20, touching MA60 resistance, or RSI failure). ATR Trailing Stop: Uses Average True Range (ATR) to calculate a dynamic stop-profit line that rises with the price to lock in profits. Hard Stop Loss: Forces a stop-loss if the left-side bottom fishing fails and losses exceed a set ATR multiple, preventing deep drawdowns. 3. Recommendations Target Assets: High liquidity broad-based ETFs such as CSI 300 ETF (510300), CSI 500 ETF (510500), ChiNext ETF (159915), STAR 50 ETF (588000). Timeframe: Daily Chart.
Estrategia Pine Script®
por RTA-Odysseus
IDAHL | QuantEdgeBIDAHL | QuantEdgeB 🔍 Overview The IDAHL indicator builds adaptive, volatility-aware threshold bands from two separate ALMA lines—one smoothed from recent highs, the other from recent lows—then uses percentiles of those lines to define a dynamic “high/low” channel. Price crossing above or below that channel triggers clear long/short signals, with on-chart candle coloring, fills, optional labels and even a built-in backtest table. ✨ Key Features • 📈 Dual ALMA Bands (with DEMA pre-smoothing) o High ALMA: ALMA applied to DEMA-smoothed highs (high → DEMA(30) → ALMA). o Low ALMA: ALMA applied to DEMA-smoothed lows (low → DEMA(30) → ALMA). • 📊 Percentile Thresholds o Computes a high threshold at the Xth percentile of the High ALMA over a lookback window. o Computes a low threshold at the Yth percentile of the Low ALMA. o Shifts each threshold forward by a small period to reduce repainting. • ⚡ Dynamic Channel Logic o When price closes above the high percentile line, the “final” threshold flips down to the low percentile line (and vice versa), creating an adaptive channel that only moves when the outer bound is violated. o Inside the channel, the threshold holds its last value to avoid whipsaw. • 🎨 Visual & Alerts o Plots the two percentile lines and fills between them with a color that reflects the current regime (green for long, yellow for neutral, orange for short). o Colors your candles to match the active signal. o Optional “Long”/“Short” labels on confirmed flips. o Alert conditions fire on each long/short crossover. • 📊 On-Chart Backtest Metrics o Toggle on a small performance table—complete with win-rate, net P/L, drawdown—from your chosen start date, without any extra code. ⚙️ How It Works 1. Adaptive Smoothing (ALMA) o Uses ALMA (Arnaud Legoux Moving Average) for smooth, low-lag filtering. In this script, the inputs are additionally pre-smoothed with DEMA(30) to reduce noise before ALMA is applied—improving stability on highs/lows. 2. Percentile Lines o The High ALMA series feeds a linear-interpolation percentile function to generate the upper bound; the Low ALMA produces the lower bound. o These lines are offset by a small look-ahead (X bars) to reduce repaint behavior. 3. Channel Logic o Breakout Flip: When the selected source (default: Close) closes above the upper bound, the active threshold “jumps” to the lower bound—locking in a new channel until price next crosses. o Breakdown Flip: Conversely, a close below the lower bound flips the threshold to the upper bound. 4. Signal Generation o Long while the source is above the current “final” threshold. o Short while below. o Neutral inside the channel before any flip. 5. Visualization & Alerts o Dynamic fills between the two percentile lines change hue as the regime flips. o Candles adopt the regime color. o Optional pinned “Long”/“Short” labels at flip bars. o Alerts on every signal crossover of the zero-based regime line. 6. Backtest Table o From your chosen start date, a mini-table displays cumulative P/L, win rate and drawdown for this strategy—handy for quick in-chart validation. 🎯 Who Should Use It • Breakout Traders hunting for adaptive channels that auto-recenter on new highs/lows. • Volatility Traders who want thresholds that expand and contract with market turbulence. • Trend-Chasers seeking a fresh take on high/low channels with built-in smoothing. • Systematic Analysts who appreciate on-chart backtesting without leaving TradingView. ⚙️ Default Settings • ALMA Length: 14 • Percentile Length: 35 bars • Percentile Lookback Period (offset): 4 bars • Upper Percentile: 92% • Lower Percentile: 50% • Threshold Source: Close • Visuals: Candle coloring on, labels off by default, “Strategy” palette • Backtest Table: on by default (toggleable) • Start Date (Backtest): 09 Oct 2017 📌 Conclusion IDAHL blends two smooth, low-lag ALMA filters (fed by DEMA-smoothed highs/lows) with percentile-based channel construction for a self-rewiring high/low envelope. It gives you robust breakout/breakdown signals, immediate visual context via colored fills and candles, optional labels, alerts, and even performance stats—everything you need to spot and confirm regime shifts in one compact script. 🔹 Disclaimer : Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading. 🔹 Strategic Advice : Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Indicador Pine Script®
por BaseTrustCapital
Bens Platypus Dual VWAP_Rolling 7D vs Weekly AnchoredBen’s Platypus Dual VWAP: Rolling 7D vs Weekly Anchored (optional σ bands) Weekly-anchored VWAP resets on Monday (exchange time). That makes sense for assets tied to a traditional weekly “market open,” but BTC trades 24/7 and often doesn’t respect Monday as a real regime boundary—so the Monday reset can create a mechanical jump that looks like signal but is just arithmetic. If you drive entries/exits off that reset, some algos will get spooked into early entries, fake “stretch” readings, or sudden mean shifts that aren’t actually market behaviour. This indicator fixes that by plotting: • Rolling 7D VWAP (thick aqua): a continuous trailing VWAP that does not reset on Mondays, giving you a stable mean for reversion logic. • Weekly Anchored VWAP (thin purple): kept for context, so you can see the reset effect rather than accidentally trade it. Result: you can visually compare the two means and quantify when “weekly structure” is useful versus when it’s just a calendar artifact on a 24/7 market.
Indicador Pine Script®
por popularGnuofls7
WN 5-20-50 SMA Setup (Discrete Lines = SL TP) Multiple Entries Pretty Simple Script as I got this idea from a YouTuber that showed us how to use AI to make TradingView Indicators. When the 5 day Simple Moving Average Goes Above the 20 day Simple Moving Average it issues a BUY Signal when the Trend itself is over the 50 day Simple Moving Average. When the 5 day Simple Moving Average Goes Below the 20 day Simple Moving Average it issues a SELL Signal when the Trend itself is under the 50 day Simple Moving Average. The Green Cloud Represents price over the 50 day Simple Moving Average. BUY signals will only show up in the green cloud. The Red Cloud Represents price under the 50 day Simple Moving Average. SELL signals will only show up in the green cloud. The lines represent Stop Loss and two Take Profit Levels. Take Profit 1 is 1.5x the stop loss and Take Profit 2 is 3x the Stop Loss. This version of the Script has multiple Trend signals for entries so you can scale into a trade when the Trend is being aggressive.
Indicador Pine Script®
por wnoor0304
2
SB A / A++ ALERT ENGINE (Alerts Only)SB A / A++ Alert Engine Session-Based Level Rejection Strategy (Automation-Ready) Overview The SB A / A++ Alert Engine is a rules-based TradingView indicator designed to identify high-probability institutional-style reversal trades using Stacey Burke–inspired concepts such as previous day levels, session structure, opening ranges, and round numbers. This tool is alerts-only by design, making it ideal for: TradingView alerts Webhook automation Telegram / Discord signal delivery External trade execution systems It does not repaint and evaluates signals on confirmed bar close only. --- Core Trading Idea Price frequently reacts at important reference levels during active trading sessions. This script looks for rejection + confirmation at those levels and grades setups based on confluence and candle quality. Only A-grade and A++-grade setups are alerted. --- What the Script Detects 📌 Key Levels (Confluence Engine) Previous Day High / Low Initial Balance (Mon–Tue range, active Wed–Fri) Session Opening Range (first hour of London / NY) Round Numbers (configurable tick spacing) Each level touched contributes to confluence — without double-counting the same zone. --- 🕒 Session Control Signals are only allowed during: London Session New York Session Includes: Session resets Max alerts per session Cooldown between signals --- 🔎 Candle Confirmation Valid signals require clear rejection behavior, such as: Bullish / Bearish Engulfing candle Strong Pin Bar (wick ≥ 2× body) --- 🧠 Trade Grades A Trade Valid session ATR percentile filter passed ≥ 1 level of confluence Directional rejection A++ Trade All A-Trade rules Strong confirmation candle (engulf or pin) ≥ 2 independent confluence zones Grades are displayed visually and included in alert payloads. --- 📊 Volatility Filter (ATR Percentile) Instead of fixed ATR thresholds, the script uses an ATR percentile rank, ensuring trades only trigger when volatility is above normal for that market. This adapts automatically across: Forex Indices Futures Crypto --- Visual Output ▲ Green / Lime triangles → LONG (A / A++) ▼ Orange / Red triangles → SHORT (A / A++) Color intensity reflects trade grade Optional session shading (if enabled) --- Alerts & Automation All alerts are webhook-ready and structured for automation. Each alert includes: Symbol Timeframe Direction (LONG / SHORT) Trade grade (A or A++) Confluence count Entry price (close of signal bar) Designed to integrate with: Telegram bots Trade execution bridges Risk management engines --- What This Script Is (and Is Not) ✅ IS A high-quality signal engine Non-repainting Automation-friendly Institutional level-based logic ❌ IS NOT A scalping indicator A prediction tool A “trade every candle” system This tool favors patience, structure, and quality over frequency. --- Recommended Usage Timeframes: M5 – M15 Best markets: FX majors, indices, liquid crypto Combine with your own execution, risk, and trade management rules --- ⚠️ Disclaimer This script is for educational and informational purposes only. It does not constitute financial advice. Always test on demo or paper trading before using live capital.
Indicador Pine Script®
por Accrue
Multi-Fractal Trading Plan [Gemini] v22Multi-Fractal Trading Plan The Multi-Fractal Trading Plan is a quantitative market structure engine designed to filter noise and generate actionable daily strategies. Unlike standard auto-trendline indicators that clutter charts with irrelevant data, this system utilizes Fractal Geometry to categorize market liquidity into three institutional layers: Minor (Intraday), Medium (Swing), and Major (Institutional). This tool functions as a Strategic Advisor, not just a drawing tool. It calculates the delta between price and structural pivots in real-time, alerting you when price enters high-probability "Hot Zones" and generating a live trading plan on your dashboard. Core Features 1. Three-Tier Fractal Engine The algorithm tracks 15 distinct fractal lengths simultaneously, aggregating them into a clean hierarchy: Minor Structure (Thin Lines): Captures high-frequency volatility for scalping. Medium Structure (Medium Lines): Identifies significant swing points and intermediate targets. Major Structure (Thick Lines): Maps the "Institutional" defense lines where trend reversals and major breakouts occur. 2. The Strategic Dashboard A dynamic data panel in the bottom-right eliminates analysis paralysis: Floor & Ceiling Targets: Displays the precise price levels of the nearest Support and Resistance. AI Logic Output: The script analyzes market conditions to generate a specific command, such as "WATCH FOR BREAKOUT", "Near Lows (Look Long?)", or "WAIT (No Setup)". 3. "Hot Zone" Detection Never miss a critical test of structure. Dynamic Alerting: When price trades within 1% (adjustable) of a Major Trend Line, the indicator’s labels turn Bright Yellow and flash a warning (e.g., "⚠️ WATCH: MAJOR RES"). Focus: This visual cue highlights the exact moment execution is required, reducing screen fatigue. 4. The Quant Web & Markers Pivot Validation: Deep blue fractal markers (▲/▼) identify the exact candles responsible for the structure. Inter-Timeframe Web: Faint dotted lines connect Minor pivots directly to Major pivots, visualizing the "hidden" elasticity between short-term noise and long-term trend anchors. 5. Enterprise Stability Engine Engineered to solve the "Vertical Line" and "1970 Epoch" glitches common in Pine Script trend indicators. This engine is optimized for Futures (NQ/ES), Forex, and Crypto, ensuring stability across all timeframes (including gaps on ETH/RTH charts). Operational Guide Consult the Dashboard: Before executing, check the "Strategy" output. If it says "WAIT", the market is in chop. If it says "WATCH FOR BOUNCE", prepare your entry criteria. Monitor Hot Zones: A Yellow Label indicates price is testing a major liquidity level. This is your signal to watch for a rejection wick or a high-volume breakout. Utilize the Web: Use the faint web lines to find "confluence" where a short-term pullback aligns with a long-term trend line. Configuration Show History: Toggles "Ghost Lines" (Blue) to display historical structure and broken trends. Fractal Points: Toggles the geometric pivot markers. Hot Zone %: Adjusts the sensitivity of the Yellow Warning system (Default: 1%). Max Line Length: A noise filter that removes stale or "spiderweb" lines that are no longer statistically relevant.
Indicador Pine Script®
por CustomQuantLabs
2
Dynamic EMA Trend Table [Customizable]Overview The Dynamic EMA Trend Table is a comprehensive dashboard designed to give traders an instant overview of the market trend across five distinct Exponential Moving Averages (EMAs). Instead of cluttering your chart with multiple lines, this script organizes the data into a clean, customizable table, allowing you to assess trend alignment at a glance. How It Works This indicator calculates five user-defined EMAs (defaulting to the popular 5, 20, 50, 100, and 200 periods). It then compares the Current Price against each EMA value to determine the immediate trend status: Bullish State: When the current price is above the specific EMA, the table cell turns Green (customizable). Bearish State: When the current price is below the specific EMA, the table cell turns Red (customizable). This logic allows swing traders and scalpers to instantly see if the asset is in a strong uptrend (all cells Green), a strong downtrend (all cells Red), or a consolidation phase (mixed colors). Key Features Fully Customizable Periods: Change the length of all 5 EMAs to fit your specific strategy (e.g., Fibonacci numbers or standard Swing Trading settings). Dynamic UI: Position the table anywhere on the screen (Top/Bottom/Left/Right) and adjust the size to fit your screen resolution. Visual Cleanliness: You can choose to show the table only, or toggle the "Show EMAs on Chart" option to plot the actual lines on your chart. Smart Coloring: The lines on the chart (if enabled) inherit the same color logic as the table—turning Green when price is above them and Red when price is below. Settings & Configuration Price Source: Select Close, High, Low, etc. (Default is Close). Table Position & Size: Customize where the dashboard appears. EMA Lengths: Set your 5 preferred lookback periods. Color Theme: Fully adjustable colors for Bullish, Bearish, Neutral, and Background elements to match your chart theme (Dark/Light mode friendly). Use Case Example Trend Confirmation: A trader looking for a "Buy" entry might wait for the short-term EMAs (5 and 20) and the medium-term EMA (50) to all turn Green in the table before entering. Support/Resistance Watch: By quickly glancing at the values in the table, you can see exactly where the 200 EMA sits without needing to scroll back on your chart to find the line.
Indicador Pine Script®
por ungalisetup
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes: Location of each datapoint in corresponding fields (price, time, volume) Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations Innovation in state space (in our case = volatility) The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool. As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD ... Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away. Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting. Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...). Signal weights: encode actuality/importance/relevance of datapoints. Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way! Signal = information. The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time. First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time. Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion. The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page. Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that. When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it. ^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script . Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility. Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns. Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments. Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else. ... It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request. ... ∞
Indicador Pine Script®
por gorx1
5
cd_VW_Cx IMPROVED - Quant VWAP System: Regime, Magnets & Z-ScoQuant VWAP System: Regime, Magnets & Z-Score Matrix This indicator is a comprehensive Quantitative Trading System designed to move beyond simple support and resistance. Instead of static lines, it uses Statistical Probability (Z-Score) and Standard Deviation to define the current market regime, identify institutional value zones, and project high-probability liquidity targets. It is engineered for Day Traders and Scalpers (Crypto & Futures) who need to know if the market is Trending, Ranging, or preparing for a Breakout. 1. The "Regime" System (Standard Deviation Bands) The core engine anchors a VWAP (Volume Weighted Average Price) to your chosen timeframe (Daily, Weekly, or Monthly) and projects volatility bands based on market variance. The Trend Zone (Inner Band / 1.0 SD): This is the "Fair Value" zone. In a healthy trend, price will pull back into this zone and hold. A hold here signals a high-probability continuation (Trend Following). The Reversion Zone (Outer Band / 2.0 SD): This represents a statistical extreme. Price rarely sustains movement beyond 2 Standard Deviations without a reversion. A touch of this band signals "Overbought" or "Oversold" conditions. 2. Liquidity Magnets (Virgin VWAPs) The script automatically tracks "Unvisited VWAPs" from previous sessions. These are price levels where significant volume occurred but have not yet been re-tested. The Logic: Algorithms often target these "open loops." The script visualizes them as Blue Dashed Lines with price tags. Smart Scaling (Anti-Scrunch): Includes a custom "Ghost Engine" that automatically hides or "ghosts" magnets that are too far away. This prevents your chart from being squashed (scrunched) on lower timeframes, keeping your candles perfectly readable while still tracking targets in the background. 3. The Quant Matrix (Dashboard) A real-time Heads-Up Display (HUD) that interprets the data for you: Regime: Detects Volatility Squeezes. If the bands compress, it signals "⚠ SQUEEZE", warning you to stop mean-reversion trading and prepare for an explosive breakout. Bias: Color-coded Trend Direction (Bullish/Bearish) based on VWAP slope. Signal: actionable text prompts such as "BUY DIP" (Trend Following), "FADE EXT" (Mean Reversion), or "PREP BREAK" (Squeeze). 4. Visual Intelligence Bold Day Separators: Clear, vertical dotted dividers with Date Stamps to instantly separate trading sessions. Dynamic Labels: Floating labels on the right axis identify exactly which deviation level is which, preventing chart confusion. How to Use Strategy A: The Trend Pullback (continuation) Check Matrix: Ensure Bias is BULLISH (Green). Wait: Allow price to pull back into the Inner Band (Dark Green Zone). Trigger: If price holds the Center VWAP or the -1.0 SD line, enter Long. Target: The next Liquidity Magnet above or the +2.0 SD band. Strategy B: The Reversion Fade (Counter-Trend) Check Matrix: Ensure price is labeled "EXTREME" or Signal says "FADE EXT". Trigger: Price touches or pierces the Outer Band (2.0 SD). Action: Enter counter-trend (Short) with a target back to the Center VWAP (Mean Reversion). Strategy C: The Magnet Target Identify a "MAGNET" line (Blue Dashed) near current price. These act as high-probability Take Profit levels. Price will often rush to these levels to "close the loop" before reversing. Settings Anchor: Daily (default), Weekly, or Monthly. Magnet Focus Range: Adjusts how aggressively the script hides distant magnets to fix chart scaling (Default: 2%). Visuals: Fully customizable colors, label sizes, and dashboard position.
Indicador Pine Script®
por CustomQuantLabs
2
Witch-Fire ALMA signals: Dynamic Liquidity & Trend GlowThe Witch-Fire ALMA is a high-precision trend bias and liquidity mapping tool designed for price action traders and Smart Money practitioners. Unlike traditional indicators that clutter your chart with lagging signals, this script provides a "clean-yet-powerful" visual anchor to help you stay on the right side of the market while identifying key Points of Interest (POIs). At its core, the script utilizes an optimized Arnaud Legoux Moving Average (ALMA). Known for its superior ability to balance smoothness and responsiveness, the ALMA effectively filters out market noise and "whipsaws" that often plague standard EMAs. Key Features: The Witch-Fire Glow: A neon-styled ALMA line that shifts between Bullish Green and Bearish Red. The white core provides surgical precision for price intersection, while the outer glow visualizes the strength and dominance of the current trend. Scaled Liquidity Levels: Automatically maps Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL). These levels are dynamic—they scale proportionally with your ALMA settings. This ensures that the liquidity zones you see are always relevant to the trend cycle you are analyzing. Strategic Bias Background: A subtle background tint provides an instant psychological filter. Only look for Longs in the green zone and Shorts in the red zone to maintain a high-probability strike rate. How to Trade with Witch-Fire: Identify the Bias: Look at the Fire ALMA. If the "fire" is red and the price is below the line, your bias is strictly bearish. Watch the Sweeps: Wait for the price to "sweep" (pierce with a wick) the horizontal SSL (Green) or BSL (Red) lines. Execution: Look for a strong rejection candle (long wick, small body) at these levels that closes back towards the ALMA line. Best Used On: 15m, 1H, and 4H timeframes. Works exceptionally well for Crypto, Forex, and Indices.
Indicador Pine Script®
por CryptoWitch_NL
Cantillon Clean Moving Averages [Free]Overview Standard Moving Averages are static. The Cantillon Clean MA is dynamic. It automatically changes color based on price interaction, giving you an instant visual read on the trend health of the Short (20), Medium (50), and Long (200) term flows. Features Dynamic Coloring: Green when Bullish, Red when Bearish. Smart Weighting: Uses Exponential Moving Averages (EMA) to react faster than standard SMAs. Crossover Signals: Subtle "X" markers when the short-term trend flips. Want the Real Institutional Trend? Moving averages lag. To track the True Institutional Cost Basis (Anchored VWAP) and statistical reversal points, you need the Cantillon Terminal .
Indicador Pine Script®
por Thecantillonreport
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events. 🔶 Advanced SMA-MAD Band Construction Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations. // Core SMA-MAD Framework SMA_Value = ta.sma(close, SMA_Length) Mean = ta.sma(close, MAD_Length) Abs_Deviation = abs(close - Mean) MAD_Value = ta.sma(Abs_Deviation, MAD_Length) // Adaptive Bands Upper_Band = SMA_Value + MAD_Factor * MAD_Value Lower_Band = SMA_Value - MAD_Factor * MAD_Value 🔶 Intelligent Dual-Filter System Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations. 🔶 Dynamic Trend Strength Engine Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements. 🔶 Super Trend-Style Direction Logic Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility. 🔶 ATR-Based Ribbon Visualization Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions. 🔶 Multi-Dimensional Visual Architecture Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components. 🔶 Slope Strength Validation Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position. 🔶 Signal Generation Framework Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates. This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Indicador Pine Script®
por AlphaExtract
10
HaP MACDHaP MACD - Advanced DEMA Assisted Signal Indicator Overview The HaP MACD is an evolution of the classic MACD, designed for traders who demand faster response times and clearer trend visualisations. By integrating DEMA (Double Exponential Moving Average) logic into the standard MACD framework, this indicator filters out noise and highlights momentum shifts with a unique color-coded dot system. How It Works The indicator calculates two types of MACD: a standard one for the main lines and a DEMA-based one for signal generation. This dual approach ensures you stay in the trend while being alerted the moment the momentum starts to fade. Visual Guide & Color Logic The signal dots are placed directly on the MACD line to guide your decisions: 🔵 Blue Dot: The Entry Signal. Appears when DEMA conditions first align for a bullish move. 🟢 Green Dot: Strong Momentum. The trend is active and the MACD value is increasing. 🟠 Orange Dot: Warning Signal. The bullish trend is still active, but the momentum is slowing down (MACD is lower than the previous bar). 🔴 Red Dot: Exit Signal. The bullish condition has ended. It’s time to consider closing the position or tightening stops. Key Features Reduced Lag: DEMA integration provides earlier signals than standard EMA-based MACDs. Trend Monitoring: Easily distinguish between a healthy trend (Green) and a tiring trend (Orange). Customizable: Choose between EMA and SMA for both the oscillator and signal calculations. Crossover Markers: Optional triangle markers for classic MACD crossovers (can be enabled in settings).
Indicador Pine Script®
por agahakanaga
24
cd_VW_CxOverview The cd_VW_Cx is a sophisticated trend analysis tool designed to quantify market momentum using Multi-Period VWAP (Volume Weighted Average Price). Unlike standard indicators, this script evaluates the current price relationship across multiple historical VWAP anchors to generate a real-time "Confidence Score" ranging from -100 to +100. 💡 Key Features • Dynamic Anchoring: Seamlessly switch between Daily, Weekly, or Monthly open anchors to align with your trading style (Scalping, Day Trading, or Swing). • Algorithmic Scoring (The Score Box): The indicator compares the current VWAP against historical periods. o Score > +70: Strong Bullish Momentum. o Score < -70: Strong Bearish Momentum. • Polyline Rendering: Utilizes Pine Script v6’s advanced polyline architecture for high-performance, sleek visual plotting that doesn't clutter your chart. • Institutional Support/Resistance: Historical VWAP levels are color-coded, often acting as "invisible" magnetic zones where institutional orders are clustered. 🛠 How to Trade with cd_VW_Cx 1. Momentum Confirmation: Look for the Score Box to turn Teal (Bullish) or Red (Bearish). This indicates that the current trend has statistical backing from multiple previous sessions. 2. The Breakout Signal: The script tracks price crossovers of the current VWAP. A "Bullish Breakout" combined with a high score is a high-probability entry signal. 3. Visual Guidance: Use the custom labels to identify which specific day/week/month’s VWAP is currently being tested as support or resistance. ⚙️ Customizable Settings • Anchor Selection: Choose the calculation basis (Daily, Weekly, Monthly). • Thresholds: Adjust the sensitivity of the Bullish/Bearish alerts (Default is +/- 70). • Visuals: Full control over table positioning, font sizes, and color palettes to match your chart theme. 📢 cd_VW_Cx: Multi-Period VWAP Scoring & Analysis Guide 🔍 Overview & Visual Logic The labels next to the VWAP levels dynamically change based on your Anchor selection: • Daily Open: Displays the Day Name (e.g., Monday, Tuesday). • Weekly Open: Displays the Week Number (1 – 52). • Monthly Open: Displays the Month Number (1 – 12). • General View: ________________________________________ 🚦 How to Filter & Track Your Assets You can monitor your favorite assets using two powerful methods: 1. Real-Time Alerts Stay updated with TradingView notifications: • Per Asset: Track a single pair. • Watchlist Basis: Monitor your entire list at once. Alert Setup Guide: 2. Pine Screener Integration Filter the market effortlessly using the Pine Screener. Pine Screener View: ________________________________________ ⚙️ Settings & Configuration • Timeframe Selection: Your chart timeframe must be lower than the selected Anchor timeframe. (e.g., If "Daily Open" is selected, the timeframe should be lower than 1D). • Anchor Choice: Select Daily, Weekly, or Monthly opens. • Source Selection: Default value is set to ohlc4. Source Settings: Filtering Criteria Examples: • Bullish Filtering: Find assets with high momentum scores. • Bullish Breakout (Single Criteria): Filters assets that have closed above the current VWAP level. • Combined Strength (Score + Breakout): Filters assets that have a Score > 70 AND a fresh VWAP Breakout simultaneously. ________________________________________ ⚠️ Important Notes & Warnings • Calculation Logic: The indicator calculates levels and scores on timeframes lower than the anchor. It is best used on timeframes that are close to but lower than the anchor. • Avoid Extreme Gaps: Using a very low timeframe (e.g., 1m) with a very high anchor (e.g., Monthly) increases the risk of erroneous results. • Optimization: The default score threshold of 70 is a starting point; I recommend adjusting it based on your own trading experience. • The Power of Confluence: VWAP levels are naturally strong. Their significance increases when they coincide with institutional levels like PDH (Previous Day High), Session H/L, or HTF FVG. • Experience Matters: A high score alone is not enough for an entry. Always combine this data with your personal strategy. ________________________________________ 💬 Community & Feedback I would love to hear your suggestions regarding the scoring logic or visual improvements! Feel free to share your thoughts in the comments. Happy Trading! 🚀
Indicador Pine Script®
por cdikici71
7