Auf geht's

ADX

Trend Quality [AGPro Series]Trend Quality Trend Quality fuses three independent regime dimensions — ADX directional strength, Kaufman Efficiency Ratio, and ATR-normalized EMA slope — into a single 0–100 composite Trend Quality Score. A hysteresis + confirmation + cooldown gate turns that score into a stable TREND / CHOP regime, enhanced with HTF confirmation, lifecycle phases, score velocity, breakout grading, directional dominance, and a full adaptive on-chart quality window. The goal is simple: replace noisy "is this a trend?" guessing with a transparent, multi-dimensional, low-lag quality reading you can read in one glance. 🎯 OVERVIEW Most trend filters fail at the same thing — they tell you a trend exists, but not whether that trend is clean, accelerating, fading, or already exhausted. Trend Quality answers the harder question. Every bar is scored on three independent dimensions that each measure a different physical property of price movement: • ADX — directional strength (how strongly one side dominates) • Kaufman Efficiency Ratio (ER) — path efficiency (how little wasted motion) • ATR-normalized EMA slope — normalized trend velocity (how fast, relative to volatility) These three signals are combined into one 0–100 Trend Quality Score. A hysteresis band + confirmation bars + cooldown filter convert that score into a stable TREND / CHOP regime — no single-bar flipping, no false recovery wicks. On top of the core regime, the indicator layers Score Velocity, Lifecycle phases (Emerging → Confirmed → Exhausting), Breakout Quality grading (A / B / C), directional dominance, and a visual Quality Window that tracks the active trend zone and projects it forward. 💎 UNIQUE EDGE What separates Trend Quality from a standard ADX filter, an EMA slope indicator, or a generic regime meter: • Tri-factor fusion (not a single metric) — ADX alone misses path quality; ER alone misses direction; slope alone misses choppy-but-strong moves. Weighted fusion (45% ADX, 35% ER, 20% Slope) neutralizes each component's blind spot. • Stable regime, not a flickering line — the TREND / CHOP state passes through a 3-layer filter: hysteresis band around the threshold, N confirmation bars, and a cooldown window after every transition. The result is a regime reading that holds through pullbacks without flipping. • Score Velocity Engine — a second-derivative layer that watches how fast the score itself is changing. Surges flag momentum ignition; collapses flag quality breakdown before price confirms it. A bearish divergence detector fires when price makes new highs while quality is fading. • Lifecycle phases — inside every TREND regime, the script distinguishes Emerging (young, fresh, accelerating), Confirmed (mature, stable, above buffer), and Exhausting (score rolling over from a peak). This lets you see whether you are entering early, running mid-trend, or catching the end. • Breakout Quality Badge (A / B / C) — every CHOP → TREND transition receives a graded badge based on composite score plus velocity bonus. Grade A breakouts are rare and have an optional dedicated alert. • HTF confirmation with Auto-HTF mapping — the same engine runs on a higher timeframe. When LTF is trending but HTF is not, the regime is marked BLOCKED (not forced to CHOP) so you retain full transparency about why the regime is gated. • Adaptive Quality Window — a live rectangular zone that tracks the full trend's high/low from its start bar, projects forward, shows ceiling/floor projection labels, and preserves historical windows with directional color coding (green for up-trends, pink for down-trends, amber for HTF-blocked trends). 🧪 METHODOLOGY Core composite score (every bar, LTF): Score = 100 × (0.45 × ADX_norm + 0.35 × ER_norm + 0.20 × Slope_norm) • ADX_norm = min(ADX / 50, 1) • ER_norm = |close − close | / (SMA(|Δclose|, N) × N) • Slope_norm = min(|EMA − EMA | / ATR × 10, 1) Regime gating: • Hysteresis: +3 above threshold to enter TREND, −3 below to enter CHOP • Confirmation: N consecutive bars above/below the hysteresis band • Cooldown: N bars after every regime flip where no new flip is allowed MTF confirmation (optional, default ON): The same core function is called via request.security on the HTF (Auto: 30m→4H, 4H→Daily, Daily→Weekly, Weekly→Monthly in Strict mode). When LTF=TREND but HTF=CHOP, the regime is tagged BLOCKED — a transparent third state that is neither forced-CHOP nor accepted-TREND. Lifecycle logic: • Emerging: TREND is young (bars since start ≤ Emerging Bars) OR score slope ≥ 0 and score below buffer • Confirmed: score ≥ threshold + Confirmed Buffer AND HTF passes (optional) • Exhausting: score slope < 0 AND pullback from peak ≥ Exhaustion Pullback Score velocity: velocity = score − score (default 5-bar look-back) Breakout quality grading: bqScore = score + velocity_bonus (bonus: +15 if vel>15, +7 if vel>5, else 0) A ≥ 82, B ≥ 67, C < 67 🔔 SIGNALS & ALERTS The script exposes 12 alert conditions — all moderator-safe, educational, non-solicitating: • CHOP → TREND / TREND → CHOP regime flips with LTF+HTF context • Strong Trend composite conviction threshold • HTF Blocked / HTF Unblocked third-state transparency events • Emerging / Confirmed / Exhausting Trend lifecycle phase changes • Velocity Surge / Velocity Collapse second-derivative extremes • Grade-A Breakout rare high-conviction breakouts • Bearish Divergence price up, quality down warning On-chart visual events (also filterable via inputs): • Breakout Quality badge (A / B / C) at every CHOP → TREND • Bearish divergence ⚠ marker at trend peaks where quality fades • State tag near backbone: EMERGING / CONFIRMED / EXHAUSTING / HTF BLOCKED • Quality Window label: ACTIVE + phase • Projection labels on the right edge: QUALITY CEILING / TREND FLOOR All badge and warning labels are gated with an 8-bar cooldown so the chart stays clean even on repeated intra-swing triggers. ⚙️ KEY INPUTS Core engine: • ADX Length (14) — directional strength look-back • Efficiency Length (20) — ER path-efficiency window • Slope EMA Length (50) — trend backbone reference • ATR Length (14) — volatility normalization • TREND Threshold (55) — composite score level to enter TREND • Confirmation Bars (1) — bars of persistence before flipping • Strong Trend Offset (15) — extra score above threshold for STRONG tag MTF: • HTF Confirmation (ON) — enable/disable HTF gate • Auto HTF (ON, Strict) — smart HTF mapping per chart TF • Manual HTF (240) — override timeframe Stability: • Change Cooldown Bars (2) — lock-out window after any regime flip Lifecycle: • Emerging Phase Bars (4) — max trend age to stay Emerging • Confirmed Buffer (8.0) — score must clear threshold+buffer • Exhaustion Pullback (4.0) — peak-to-current drop to flag Exhausting Visual Overlay: • Backbone + Glow + Zone + State Candles + Quality Window + Historical Windows + Projection Box + Guides + Midline (all toggleable) Panel, Theme, Layout, Help rows, Alerts, Score Velocity Engine, Breakout Quality Badge, Divergence Detector — every layer has its own input group and can be shown/hidden independently. 📘 HOW TO USE Read-in-one-glance panel (standard AGPro format): • Blue header row: script title • Line 2: REGIME / LIFECYCLE · Score N/100 · Velocity state • Line 3: LTF regime · Direction · Directional Dominance • Line 4: HTF regime · MTF PASS/BLOCKED · Active Window state · Streak Quick playbook: 1. CHOP on LTF → wait. No setup, no commitment. 2. CHOP → TREND transition with Grade A badge + HTF PASS → highest-conviction regime start. 3. CONFIRMED phase with DOM HIGH and rising score → the middle of the trend, usually the cleanest section. 4. Velocity COLLAPSE or EXHAUSTING phase with bearish divergence ⚠ → quality is deteriorating; reduce exposure or tighten stops. 5. HTF BLOCKED amber window → LTF trend exists but higher timeframe disagrees; treat as lower-conviction and be aware of mean-reversion risk. The indicator does NOT issue buy/sell signals, does NOT define entry/exit prices, and is NOT a strategy. It is a regime-quality reading — a context layer you pair with your own trade management. ⚠️ LIMITATIONS & TRANSPARENCY • Trend-quality indicators are inherently trend-following. In low-volatility ranges the score can stay above threshold on minor moves; in very fast markets the score can lag by 1–3 bars while the filters stabilize. • HTF confirmation introduces a natural HTF delay. This is intentional (it removes noise) but means the HTF gate may lift several LTF bars after price has already moved. • All composite signals rely on look-backs (ADX 14, ER 20, Slope EMA 50, ATR 14). On very short intraday timeframes with low bar counts these need calibration. • Lifecycle phases are structural readings, not predictions. EXHAUSTING means the score is rolling over — not that price must reverse. • Past performance of any visual regime does not imply future performance. Charts showing clean historical windows are illustrative of the indicator's logic, not trading results. • No repainting on historical bars. The HTF call uses lookahead_off and barmerge.gaps_off. Score and regime values on closed bars are final. 🛡️ RISK DISCLOSURE This script is published as an educational and analytical tool. It does not provide financial advice, does not generate trade signals of any kind, and must not be used as a standalone decision system. Markets involve substantial risk of loss. Past behavior of any market regime, indicator output, or historical visual window is no guarantee of future results. Always combine any indicator with independent risk management, position sizing, a tested plan, and — where appropriate — the guidance of a licensed professional. You are solely responsible for any trading decisions you make.
Pine Script® Indikator
von AGProLabs
Kaufman Efficiency Ratio Gate [NovaLens]Kaufman Efficiency Ratio Gate is a regime classifier that separates trending markets from choppy ones. Instead of plotting a raw ratio and leaving you to interpret thresholds, it ranks the current Kaufman Efficiency Ratio within its own recent history and outputs a binary gate: trend-favorable or chop-dominant. Five timeframe-specific presets ship ready to use - pick the one matching your chart. ◉ HOW IT WORKS The Efficiency Ratio measures how much of price's total movement was directional over N bars: ER = |Close - Close(N)| / Σ|Close(i) - Close(i-1)| A value near 1.0 means price moved in a straight line - maximum efficiency. A value near 0 means price covered distance but went nowhere net - noise. Perry Kaufman introduced this in "Trading Systems and Methods" (1995) as the foundation for his Adaptive Moving Average. Raw ER values are hard to threshold because what counts as "efficient" varies by asset and timeframe. This gate solves that with a three-stage pipeline: • Light EMA smoothing - removes single-bar noise from the raw ER without adding meaningful lag (Smoothing = 2 for most presets). • Percentile rank - ranks the smoothed ER within its own rolling window. A reading at the 70th percentile means the current efficiency is higher than 70% of recent history. This is what makes the gate self-normalizing. A "trending" efficiency ratio for Gold might sit at 0.45, while for a volatile altcoin it might be 0.25 - the gate adjusts automatically to each asset's own baseline, so you never need to guess at fixed thresholds. • Symmetric hysteresis - the gate opens when rank crosses above the median + Stability/2, and closes when rank drops below the median - Stability/2. This prevents flicker at the boundary. A small buffer (Stability = 2) is enough because KER is already a clean ratio. Other regime tools approach this differently. ADX measures trend strength through smoothed directional movement - it tells you how strong a trend is, but its fixed scale means a reading of 25 carries different weight on different instruments. The Choppiness Index compresses ATR relative to the window's price range into a 0-100 scale - useful, but sensitive to window length and not inherently normalized. The Efficiency Ratio takes a more direct route: what fraction of total movement was net directional? And the percentile-rank layer on top makes that reading self-normalizing across any asset or timeframe - no manual threshold tuning required. The result is a binary state: trend-favorable (gate open) or chop-dominant (gate closed). ◈ HOW TO READ IT • Teal background / teal hero line - Gate open. The market's directional efficiency is above its recent median. Trend-following setups tend to perform better in this environment. • Amber background / amber hero line - Gate closed. Efficiency is below the median - price is moving but not going anywhere. Trend-following setups historically tend to underperform in this environment. • Bright teal (strong trend) - Smoothed KER is in the top 25% of its recent rank window. The trend is unusually clean - continuation setups tend to be cleaner in this state. • Bright amber (strong chop) - Smoothed KER is in the bottom 25%. Noise is dominant - even range-bound strategies may find fewer clean entries. Generally a low-opportunity environment. The info panel (top-right) shows the current gate state, smoothed KER value, percentile rank, and a momentum readout (strengthening / weakening / stable) based on how the rank has moved over the last few bars. ✦ HOW WE USE IT - REGIME FILTER In systematic trading, the Efficiency Ratio often serves as one of the regime filters applied before a trend-following signal gets capital allocation. The idea is to confirm that the market is actually trending efficiently, not just moving. When the gate is open (teal), directional efficiency is elevated. Pullback entries, breakout continuations, trend-following MA crosses - these setups tend to perform better because price is converting movement into net progress. When the gate closes (amber), the same setups historically tend to underperform. Price is volatile but going nowhere. In choppy regimes, trend-following systems generally struggle, and while mean reversion may be more favorable, it remains a harder environment to trade overall. Many systematic traders use this kind of regime awareness to reduce exposure or adjust position sizing rather than forcing directional bets. The gate works well as a context overlay alongside other entry signals. It doesn't indicate which direction to trade, but it helps characterize whether the current environment is rewarding directional movement at all. What the gate is NOT: a forward predictor. It classifies the recent past. A gate-open reading means efficiency has been high - it doesn't guarantee the next bar will trend. It's a filter, not a crystal ball. ◆ OTHER APPLICATIONS • Entry filter - pair with any trend-following signal (MA cross, breakout, RSI) and add a gate-open condition. Filtering out chop regimes can help reduce whipsaw entries. • Multi-timeframe confirmation - checking the gate on a higher timeframe before entering on a lower one can add confidence. For example, a Daily gate-open reading alongside a 4H trend entry. • Regime-aware sizing - some traders scale position size with regime state, increasing exposure during gate-open periods and reducing it when the gate closes. • Alert-driven workflow - set alerts on gate open/close transitions and check your trend setups only when the gate fires. ⚙ SETTINGS Preset (default: Daily) - Timeframe-specific parameter bundles. Select the one matching your chart resolution: • Weekly - KER 10, Smoothing 2, Rank Window 100, Stability 2. Long context window for position traders. • Daily - KER 8, Smoothing 2, Rank Window 50, Stability 2. The default. Works well on most daily charts. • 8H - KER 8, Smoothing 2, Rank Window 50, Stability 2. Starting point same as Daily - validate on your own 8H charts. • 4H - KER 14, Smoothing 2, Rank Window 30, Stability 2. Wider KER period compensates for noisier intraday data. • 30m - KER 5, Smoothing 5, Rank Window 30, Stability 2. Short KER period with heavier smoothing for fast charts. • Custom - Drive the gate from the four inputs below. KER Period - Lookback for the raw Efficiency Ratio. Shorter (5-8) reacts faster to regime changes. Longer (14-20) gives more stable readings but lags transitions. Smoothing - EMA applied to the raw KER. Set to 1 for no smoothing. KER is self-normalizing by construction, so low values (1-5) are usually enough. Rank Window - Rolling window for the percentile rank. Controls how much recent history defines "typical." Shorter windows adapt faster; longer windows give more stable context. Stability - Hysteresis half-width around the 50th percentile. At 0, the gate flips the instant rank crosses the median. At higher values, the gate requires a stronger signal to switch state. Low values (2-5) work well since KER is already a clean signal. Display toggles: • Show Raw KER - thin white line showing the unsmoothed ratio • Show Median - 50th-percentile reference line on the smoothed KER • Show Background - teal/amber background wash (turn off if your workspace already signals the regime elsewhere) • Show Info Panel - gate state, KER, rank, and momentum readout • Light Theme - flips panel colours for light chart backgrounds △ LIMITATIONS • Backward-looking - the gate classifies recent efficiency, not future direction. Regimes can shift faster than the rank window catches, especially around news events. • Directionless - both strong uptrends and strong downtrends produce gate-open readings. A separate directional indicator is needed to determine which side to trade. • Noise on thin instruments - short KER periods on low-volume assets can produce noisy readings even with smoothing. • History requirement - percentile rank needs sufficient data to be meaningful. The first ~50-100 bars on any chart (depending on preset) will have unstable rankings. ⌁ NOTES • Based on Perry Kaufman's Efficiency Ratio from "Trading Systems and Methods" (1995) • Cross-validated against our PyneCore Python reference implementation. • Parameters were tuned on gold (XAUUSD) via the NovaLens research pipeline. The same presets generalize reasonably to other assets - though testing on your own instruments is always recommended. • Regime palette: teal = trend-favorable, amber = chop-dominant. Not green/red - this is a state classifier, not a directional signal. If you find a Custom parameter set that works well on a different instrument, the comments are a good place to share it.
Pine Script® Indikator
von NovaLens
ES Breakout Toolkit ADX Regime Filter Free=== PART OF THE ES BREAKOUT TOOLKIT === This is one of several free, standalone indicators that make up the ES Breakout Toolkit series. Each indicator isolates a single component used in the full ES London Breakout Pro strategy. They are designed to be useful on their own and educational for traders looking to filter trades by market regime using ADX. === WHAT THIS INDICATOR DOES === The ADX Regime Filter classifies the current market environment into three states: Flat/Choppy, Trending, and Overextended. It does this using the Average Directional Index (ADX) with configurable minimum and maximum thresholds that define a "sweet spot" where the market is trending enough to produce clean breakouts but not so extended that it is likely to reverse or stall. The indicator plots ADX alongside DI+ and DI- lines, highlights the sweet spot zone between your min and max ADX values, and provides visual markers when ADX enters or exits each regime. DI crossovers are also marked to help identify directional shifts. === HOW TO USE IT === Apply this indicator to a separate pane below your chart. The shaded zone between the min and max ADX lines represents the regime where trend-following and breakout strategies tend to perform best. When ADX is below the minimum, the market is likely choppy and breakout signals are less reliable. When ADX is above the maximum, the trend may be overextended and new entries carry higher reversal risk. The dashboard shows the current ADX value, regime classification, DI direction, DI spread, ADX slope, and an overall trade readiness assessment. The DI spread reading helps confirm whether the directional move has conviction — a narrow spread suggests indecision even if ADX is technically in range. === KEY FEATURES === - Three-state regime classification (Flat, Trending, Overextended) - Configurable ADX sweet spot zone with visual fill - DI+/DI- directional lines with crossover markers - ADX slope tracking (rising vs falling momentum) - Optional bar coloring by regime and direction - Background shading by current state - Dashboard with ADX, regime, direction, DI spread, slope, and trade readiness - Alerts for regime transitions and DI crossovers === WHY ADX BOUNDARIES MATTER === Most traders using ADX only set a minimum threshold. However, extremely high ADX readings often indicate that a trend is mature and vulnerable to exhaustion. By defining both a floor and a ceiling, you can focus on the portion of the trend cycle where momentum is building rather than peaking. This indicator makes that concept visual and actionable. === ABOUT THE ES BREAKOUT TOOLKIT === This indicator is part of a free series that breaks down the building blocks of a London session ES futures breakout strategy. Other free indicators in the series cover session highlighting, consolidation range detection, breakout candle scanning, and momentum close analysis. Each is published separately on my profile. The full ES London Breakout Pro indicator combines all of these components into a unified strategy with additional proprietary features including advanced risk management, trade qualification, and data tracking. It is available as an invite-only script on my profile. Use the access request instructions on that script's page if you are interested. === DISCLAIMER === This indicator is provided for educational and informational purposes only. It is NOT financial advice. It does not constitute a recommendation to buy, sell, or hold any financial instrument. Trading futures involves substantial risk of loss and is not suitable for all investors. Past performance of any indicator or strategy is not indicative of future results. Always conduct your own research and consult a qualified financial advisor before making any trading decisions. You are solely responsible for your own trading activity.
Pine Script® Indikator
von keyno_
Aegis Pulse & Energy [wjdtks255]■ 1. Overview Aegis Pulse & Energy is a hybrid strength oscillator that synchronizes trend intensity with capital flow. It filters out weak, manipulative price movements and identifies high-conviction trends where actual "Smart Money" is active, represented as the market's vital pulse. ■ 2. Technical Breakdown (The Energy Engine) ADX Trend Intensity: Measures the pure strength of a trend, regardless of direction. A surge above the 25 threshold indicates the start of a high-energy movement. MFI Accumulation Logic: Tracks the volume-weighted relative strength (Money Flow Index) to confirm if price moves are backed by genuine liquidity. Hybrid Momentum Filter: Combines trend strength and money flow into a single visual gauge, changing colors based on the synergy between the two. ■ 3. Key Visual Signals Gold Pulse (Strong Energy): Appears when the trend is powerful (ADX > 25) and capital is aggressively flowing in. This is the "Prime Trend" signal. Cyan Pulse (Trend Activation): Indicates a developing trend with healthy liquidity, often seen at the beginning of a major shift. Gray Wave (Low Energy): Signifies a weak, sideways market where price movement lacks conviction and capital flow is stagnant. ■ 4. How to Use (Strategy Guide) Energy Confirmation: Do not enter trades when the pulse line is Gray. Wait for the line to turn Cyan or Gold to ensure you are trading with the market's momentum. Money Flow Divergence: Observe the histogram; if the pulse line is high but the histogram is shrinking, it warns of a potential "Exhaustion" where the trend is losing its financial backing. ■ 5. Originality & Disclaimer The originality of Aegis Pulse & Energy lies in its "Trend-Liquidity Synchronicity." Unlike standard oscillators, it prevents entering "Dead Trends" that lack volume support. This tool is for educational purposes only; all financial risks are the responsibility of the user.
Pine Script® Indikator
von wjdtks255
MULTIVITAMIN1. What is MULTIVITAMIN? MULTIVITAMIN is a custom-built, open-source algorithmic scalping indicator designed for TradingView. Its primary goal is to capture high-probability momentum trades by combining pure Price Action (PA) mechanics with advanced trend and volatility filters, specifically engineered to avoid "chop" (ranging/flat markets) and deliver healthy, actionable signals. 2. What does it cover? (Core Modules) Price Action Engine: The core of the system. It detects real-time structural market shifts by identifying Engulfing patterns, Order Blocks (OB) with volume confirmation, and Fair Value Gaps (FVG). Trend & Momentum Filters: Utilizes a multi-timeframe Hull Moving Average (HMA) for signal smoothing, a 50-period EMA for macro trend direction, and an ADX filter to ensure the market has sufficient momentum before entering a trade. Pro Walls (Anti-Chop System): Features advanced, optional defensive mechanisms: an ATR-based volatility filter (ensuring candle size is larger than average market noise) and an EMA slope filter (ensuring the trend line is actually pointing up or down, not moving sideways). Volume Supported Breakout (BKR): An optional hybrid feature that looks for extreme volume spikes (compared to a 20-period SMA) combined with local high/low breakouts. Lifecycle Management: A built-in state machine (Idle, Long, Short) that tracks the trade's status, preventing overlapping entries and managing exits based on user-defined criteria. 3. What is its operational logic? Step 1: Scanning & Setup: The script continuously monitors price action for base entry conditions. Step 2: The Gauntlet (Filtering): A setup must pass through all active user filters (EMA, ADX, Volatility, etc.) before being validated. Step 3: State Execution: If all conditions align, the internal bot state shifts from 0 (Idle) to 1 or -1, plotting an ENTER shape on the chart and triggering an external webhook alert. Step 4: The Exit: The bot remains in this state until a valid exit condition (like a reverse PA signal) is met. 4. ⚠️ CRITICAL: How to Set Up Alerts (The Anti-Repainting Rule) ⚠️ If you are using the "Exit on Reverse Signal" (Ters Sinyalde Çık) feature in the settings, you MUST configure all your TradingView alerts (both ENTER and EXIT alerts) to trigger "Once Per Bar Close". Why? If you set them to "Once Per Bar" (anlık tetikleme), intra-bar price fluctuations (wicks) will trigger premature exit/entry orders to your exchange before the candle officially closes, leading to repainting on the chart and ghost orders in your account. Always wait for the candle to close to confirm the structural shift!
Pine Script® Indikator
von lisabyco
1
EagleEye-DashboardIndicator Description & Disclaimer This indicator has been developed independently for educational and personal learning purposes, based on hands-on trading experience and continuous research into multi-timeframe analysis. What this indicator does: This tool consolidates three of the most widely used technical indicators — MACD, RSI, and Stochastic Oscillator — into a single, clean dashboard view. Rather than switching between multiple charts and timeframes manually, traders can now see the status and alignment of all three indicators across multiple timeframes (MTF) at a single glance. This helps in quickly identifying trend confluence, momentum shifts, and potential entry/exit zones without cluttering your chart. Key features: Multi-Timeframe (MTF) dashboard view in one unified panel Real-time status display for MACD, RSI, and Stochastic Designed for clarity, speed, and ease of interpretation Suitable for indices, equities, forex, and crypto markets Disclaimer: This indicator is strictly developed for learning and informational purposes only. It does not constitute financial advice, investment recommendation, or a solicitation to buy or sell any financial instrument. Past performance of any signal generated by this indicator does not guarantee future results. Trading in financial markets involves substantial risk, and you may lose more than your initial investment. Always conduct your own due diligence, apply proper risk management, and consult a certified financial advisor before making any trading decisions. The author holds no responsibility for any trading losses incurred through the use of this indicator. Use at your own risk. Future Roadmap: This indicator is actively being refined. Upcoming versions will aim to improve signal accuracy, add additional confirmation layers, and expand timeframe flexibility based on user feedback and ongoing research. Developed with passion for the trading community. Regards, Ramesh Vaishya Independent Trader & Indicator Developer
Pine Script® Indikator
von Chandrandra
AG Pro DMI Rotation Pressure [AGPro Series]AG Pro DMI Rotation Pressure Overview / What it does AG Pro DMI Rotation Pressure is designed to track directional leadership shifts between +DI and -DI rather than treating DMI as a simple trend-strength confirmation tool. The script focuses on which side is gaining control, how decisively that control is expanding, and whether the current condition reflects rotation, compression, drift, or established directional pressure. The indicator is plotted in a separate pane so the rotational structure can be read clearly without interfering with price structure on the main chart. It combines a net pressure histogram, a pressure signal line, DI spread behavior, rotation bursts, and compression tension into one framework intended to make directional handoffs easier to interpret. This script is intentionally different from strength-oriented DMI or ADX studies. In many DMI-based tools, ADX becomes the main story. Here, ADX is only a supporting context value. The primary objective is to monitor the push-and-pull between +DI and -DI, especially when leadership is unstable, when pressure begins to build after compression, or when one side starts to hold directional control more consistently. For traders who want to study internal directional pressure before or during trend development, this script is built to highlight control transitions rather than just reporting whether a trend is already strong. Unique Edge The distinctive feature of this script is its emphasis on rotational pressure instead of trend-strength ranking. Rather than asking only whether the market is strong, it asks which side is taking control, whether that control is improving or fading, and whether a transition is underway. This produces a different read from a standard ADX workflow. A market can have moderate ADX and still show meaningful bullish or bearish pressure transfer through the behavior of +DI and -DI. Conversely, a market may print elevated ADX while the directional leadership structure is already weakening or becoming unstable. By separating directional leadership from raw strength, the script aims to expose the internal character of the move more clearly. The script also classifies the environment into readable states such as Bull Rotation, Bear Rotation, Bull Control, Bear Control, Bull Expansion, Bear Expansion, Bull Drift, Bear Drift, and Compression Battle. That state engine is meant to reduce ambiguity and make the pane easier to interpret quickly across multiple symbols and timeframes. Methodology The script begins with the DMI framework: +DI, -DI, and ADX. From there, it derives a rotational model built around DI spread and spread behavior over time. 1. DI leadership The core directional read is the spread between +DI and -DI. Positive spread means bullish directional leadership. Negative spread means bearish directional leadership. The magnitude of that spread is used as one layer of directional pressure assessment. 2. Rotational slope behavior The script evaluates how +DI and -DI are changing, not only their absolute values. This helps estimate whether one side is accelerating relative to the other. Slope behavior is important because leadership transitions often begin before a large DI spread is fully established. 3. Pressure scoring Bullish and bearish pressure are scored separately using DI spread, relative slope behavior, and spread momentum. This creates the Bull / Bear pressure readings shown in the panel, as well as the Net Pressure histogram in the pane. 4. Signal smoothing A pressure signal line is applied to the net pressure series to make pressure drift and bias easier to read. This is not intended as a prediction line. It is a smoothing layer that helps frame whether the dominant side is strengthening, fading, or remaining relatively stable. 5. Rotation bursts Crossovers between +DI and -DI are treated as potential rotational events. The script scores those events so that rotation markers are tied to directional handoff rather than appearing as purely cosmetic crossover labels. 6. Compression and tension When DI spread contracts below the compression threshold, the script evaluates internal tension. This is useful because some of the most meaningful directional expansions begin after a compressed and contested leadership state. Compression Battle is meant to identify that contested environment, not to forecast direction by itself. 7. State engine The script assigns a readable state based on pressure, spread, crossover status, and compression context. This is what allows the study to describe the environment as rotation, control, expansion, drift, or compression instead of leaving the user to infer all conditions from raw lines alone. Signals & Alerts The script includes deterministic alert conditions for the following events: Bull Rotation Triggered when +DI crosses above -DI and bullish directional rotation takes control. Bear Rotation Triggered when +DI crosses below -DI and bearish directional rotation takes control. Bull Control Triggered when bullish pressure is in control territory. Bear Control Triggered when bearish pressure is in control territory. Compression Battle Triggered when DI spread is compressed while internal tension is elevated. These conditions are designed to describe state changes inside the DMI structure. They should be used as analytical events, not as automatic trade instructions. Key Inputs DI Length Controls the base DMI sensitivity. ADX Smoothing Adjusts the ADX smoothing component used for contextual strength reading. Rotation Slope Smoothing Changes how quickly slope-based rotational behavior reacts. Pressure Signal Length Controls smoothing of the net pressure signal. Compression Threshold Defines when DI spread is considered compressed. Expansion Threshold Defines when directional pressure begins to qualify as expansion. Control Threshold Defines when directional pressure is strong enough to be treated as control. Visual controls Backgrounds, spread fill, rotation markers, panel theme, panel position, and panel font size can all be adjusted depending on the chart style and workspace preference. Limitations & Transparency This script is not a forecasting model. It does not know future direction and it does not attempt to predict exact reversal points. It is a structural pressure tool built from DMI behavior. Like all DMI-based studies, it can become noisy in highly erratic or mean-reverting conditions. Repeated +DI and -DI handoffs may appear during choppy phases, especially on lower timeframes or during indecisive sessions. Compression readings should not be interpreted as guaranteed breakout setups. Compression only describes a tight directional contest inside the DI structure. Direction still needs confirmation from price behavior, market structure, volatility regime, or other contextual tools. Bullish or bearish control states do not guarantee continuation. They only indicate that the directional pressure model currently favors one side. Users should evaluate the output alongside price structure, support/resistance, volume behavior, and timeframe context. This study is best treated as a directional pressure map, not as a standalone trading system. Risk Disclosure This script is for chart analysis and research purposes only. It does not provide financial, investment, or trading advice. Markets involve risk, and indicator-based decisions can result in losses. Always use independent judgment, confirm with broader market context, and apply appropriate risk management.
Pine Script® Indikator
von AGProLabs
1
AG Pro ADX Trend Pressure [AGPro Series]AG Pro ADX Trend Pressure Overview / What it does AG Pro ADX Trend Pressure is an overlay indicator that reframes ADX from a simple trend-strength reading into a pressure-state model. Instead of asking only whether ADX is high or low, the script evaluates how directional pressure is building, persisting, fading, or transitioning. The goal is to make ADX-based information easier to interpret directly on the price chart. This script is designed for traders who want more structure than a standard ADX line, but without turning the chart into a fully automated signal engine. It combines ADX behavior, DI dominance, persistence, and cooling behavior into a state-driven visual framework. The result is a chart-first tool that emphasizes current pressure conditions rather than isolated threshold events. The indicator uses a compact pressure ribbon, state labels, background zones, and a summary panel to show whether the market is in Compression, Early Expansion, Bull Pressure, Bear Pressure, Exhaustion, or Transition. These states are not predictions. They are structured interpretations of directional pressure conditions based on the current and recent bar sequence. Because the script is plotted directly on the chart, it is intended to help with visual context, workflow organization, and directional reading. It can be used as a companion layer for discretionary analysis, structure work, trend continuation review, or pressure-fading observation. Unique Edge The main distinction of this script is that it does not present ADX as a standalone oscillator. Instead, it treats ADX as one component inside a broader pressure-state engine. Its core difference is the shift from: - “ADX is high or low” to: - “directional pressure is building” - “directional pressure is confirmed” - “pressure is cooling” - “dominance is fading” - “state transition risk is rising” That distinction matters because many ADX-based tools stop at strength confirmation. This script tries to describe the condition around that strength: whether it is forming, maturing, weakening, or rotating. Methodology The script is built around a composite pressure score derived from several internal components: 1) ADX level The script evaluates the current ADX value as a measure of directional strength participation. 2) ADX slope It also measures whether ADX is accelerating or decelerating. This helps distinguish between pressure expansion and pressure cooling. 3) DI dominance The spread between +DI and -DI is used to determine whether one side is meaningfully dominant, rather than merely fluctuating. 4) Persistence Directional pressure becomes more meaningful when dominance remains intact across multiple bars. The script therefore normalizes persistence and includes it in the state logic. 5) Cooling behavior The model penalizes conditions where momentum of pressure is fading, DI separation is shrinking, or a prior strong phase is losing quality. These components are blended into a normalized pressure score and then interpreted through rule-based state conditions. Pressure States Compression Used when ADX is relatively weak, DI separation is limited, and the directional structure is not sufficiently active. Early Expansion Used when pressure begins to build but has not yet qualified as confirmed directional pressure. Bull Pressure Used when bullish directional dominance is active and the pressure score is strong enough to confirm a bullish pressure phase. Bear Pressure Used when bearish directional dominance is active and the pressure score is strong enough to confirm a bearish pressure phase. Exhaustion Used when a previously strong pressure phase begins to cool materially and loses quality without yet becoming a clean opposite pressure phase. Transition Used when dominance quality deteriorates, directional structure rotates, or the market appears to be moving between pressure states. Visual Structure The script uses several chart elements to organize the pressure reading: Pressure Ribbon A compact ribbon below price summarizes the active pressure state without requiring a separate pane. Pressure Curve The center curve makes the pressure structure easier to read visually and helps distinguish calm phases from active directional phases. State Labels Labels appear only on state changes, helping reduce repeated label noise while still marking meaningful transitions. Background Zones Optional background zones provide broader regime context for stronger phases. Summary Panel The panel reports: - State - Pressure Score - Directional Bias - Pressure Phase - Persistence - Cooling Risk These fields are intended to help the user interpret the current environment quickly without depending on a single line crossing or a single fixed threshold. How to use it This indicator is best used as a contextual tool rather than a standalone trade trigger. Examples of practical use: - Identify when a directional move is only beginning to organize - Separate confirmed pressure from weak expansion - Observe when a mature pressure phase begins to cool - Spot when directional quality is fading into transition - Add structure to trend-following or pullback workflows Some users may prefer to read Bull Pressure and Bear Pressure as confirmation states, while using Early Expansion and Transition as cautionary context. Others may use Exhaustion to review whether a strong move is beginning to lose internal quality. The script does not enforce a single interpretation model. Signals & Alerts The script includes deterministic alert conditions for: - Bullish Pressure Building - Bearish Pressure Building - Pressure State Shift - Pressure Cooling - Transition Risk Rising These alerts are state-based notifications. They are not promises of continuation, reversal, or outcome. Their purpose is to notify the user that the internal pressure regime has changed according to the script’s rules. Key Inputs ADX Length Controls the primary ADX and DMI calculation length. DI Smoothing Applies smoothing to directional movement components before pressure analysis. Pressure Threshold Sets the score level required before directional pressure can be confirmed. Neutral ADX Threshold Defines the area where the script becomes more willing to classify conditions as compression instead of directional pressure. Cooling Sensitivity Controls how quickly the script responds to deteriorating pressure structure. Transition Sensitivity Controls how readily the script recognizes potential regime rotation or dominance loss. Persistence Length Defines how persistence is normalized in the internal score model. Minimum DI Gap Sets the minimum meaningful separation between +DI and -DI. Curve Smooth Length Adjusts how smooth or reactive the pressure drawing appears on the chart. Visual Controls The script also includes display settings for: - Pressure Ribbon - Pressure Curve - Active Pressure Spotlight - Background Zones - State Labels - Label Size - Panel Theme - Panel Font Size - Panel Position Limitations & Transparency This script is not a prediction model. It does not forecast future price direction. It does not guarantee trend continuation. It does not guarantee reversal timing. It does not replace risk management. Like all state-based indicators, it can respond differently depending on volatility regime, market structure, timeframe, and instrument behavior. Strong trends, choppy ranges, and abrupt news-driven moves may produce very different state sequences. The pressure score is an internal composite reading. It should not be interpreted as a universal probability measure. A score of 70 does not mean a 70 percent chance of success. It only means the current internal pressure components are stronger than they were in lower-score conditions. Users should also be aware that background context and label placement are visual aids. The most important output is not the label itself, but the broader relationship between state, pressure score, bias, and how the curve behaves through time. Who this script may be useful for This script may be useful for traders who: - already use ADX or DMI and want more chart context - want a state-based trend pressure overlay - prefer workflow tools over one-click signal tools - want a compact visual reading of directional pressure behavior It may be less suitable for users looking for a pure oscillator pane, a fully automated strategy, or a single-entry single-exit signal framework. Risk Disclosure This indicator is for chart analysis and workflow support only. It is not financial advice. It should not be treated as a standalone trade instruction. Markets are risky, and no indicator can eliminate uncertainty. Use independent judgment, confirm with your own process, and apply risk management appropriate to your market and timeframe.
Pine Script® Indikator
von AGProLabs
1
Dynamic Pivot Structure [DPS]Dynamic Pivot Structure (DPS) is a price structure analysis tool that automatically detects pivot points, classifies market structure (HH, HL, LH, LL), and generates dynamic support/resistance zones with mitigation tracking. **Mathematical Foundation:** The indicator uses the standard pivot point detection algorithm with configurable left and right bar confirmations. A pivot high is confirmed when the high of a bar is greater than the highs of all N bars to its left and N bars to its right. Similarly for pivot lows. This provides mathematically validated local extremes rather than arbitrary level selection. Market structure classification follows the Dow Theory framework: Higher Highs (HH) and Higher Lows (HL) define uptrends; Lower Highs (LH) and Lower Lows (LL) define downtrends. The indicator tracks consecutive pivot sequences and labels each new pivot with its structural classification. Support and resistance zones are generated around each pivot using the Average True Range (ATR) for zone width. This creates proportional zones that automatically adjust to the instrument's volatility. The indicator tracks zone mitigation — when price penetrates a zone, it is marked as mitigated and visually faded. **Signal Logic:** Buy signals fire when price is near an unmitigated support zone, above the trend EMA, with RSI below 40 or bullish structure (HH/HL), and ADX confirming a trending environment. Sell signals fire near resistance with bearish conditions. **Features:** - Automatic pivot high/low detection with adjustable sensitivity - Market structure classification (HH, HL, LH, LL) - Dynamic ATR-based support and resistance zones - Zone mitigation tracking with visual feedback - ADX trend strength filter - Trend EMA overlay - Dashboard showing structure type, ADX, and proximity status
Pine Script® Indikator
von Jamtrader2020
High-Momentum Option Breakout(MastersinMarkets)Overview The High-Momentum Option Breakout is a technical tool designed to identify high-probability volatility expansions in equity indices. By combining price action breakouts with trend, strength, and volume filters, it aims to pinpoint specific windows where momentum is likely to accelerate. How It Works The script utilizes a multi-layered confirmation process to reduce "fakeouts" often found in standard breakout systems: Breakout Engine: It monitors a user-defined lookback period to establish dynamic upper and lower bands based on recent price extremes. Trend Hierarchy: A 200-period Exponential Moving Average (EMA) acts as a high-timeframe filter, ensuring signals align with the broader market regime. Strength Filter (ADX): To confirm momentum, the script requires the Average Directional Index (ADX) to be above a specific threshold (default 20), indicating a trending environment rather than a sideways churn. Volume Confirmation: Signals are only triggered when current volume exceeds the 20-period average, suggesting institutional participation in the move. Dynamic Risk Management: The indicator plots a trailing exit level based on the Average True Range (ATR), which adjusts to market volatility to help protect capital. How to Use Long Bias (BUY CE): Triggered when price crosses above the upper band while trading above the 200 EMA with rising ADX and high volume. Short Bias (BUY PE): Triggered when price crosses below the lower band while trading below the 200 EMA with rising ADX and high volume. Momentum Exit: While the ATR-based stop is the primary defense, the script also suggests an exit if ADX begins to fall, signaling that the immediate momentum "steam" may be dissipating. Originality and Value This script is unique because it integrates momentum decay (falling ADX) as a specific exit trigger tailored for option buyers who need to manage time decay (Theta). It automates the confluence of four distinct technical pillars into a single, non-repainting visual interface. Risk Disclaimer Trading involves significant risk. This indicator is a tool for analysis and does not guarantee future profits. Past performance, including the visual signals shown on this chart, is not indicative of future results. Users should always use independent judgment and proper position sizing.
Pine Script® Indikator
von MastersinMarkets
Prismatic Trend Matrix [JOAT]Prismatic Trend Matrix Introduction The Prismatic Trend Matrix is an advanced open-source multi-dimensional trend analysis system that combines Hull Moving Average, SuperTrend, ADX strength filtering, and moving average confluence into a unified trend detection engine. This indicator analyzes trend across multiple dimensions simultaneously, creating a prismatic view of market direction with gradient visualization that reveals trend strength and conviction. Unlike single-indicator trend systems, the Prismatic Trend Matrix provides multi-layered trend intelligence through Hull MA smoothing, SuperTrend band analysis, ADX strength measurement, and EMA/SMA alignment detection. The indicator is designed for traders who understand that strong trends require confirmation across multiple analytical dimensions. Why This Indicator Exists This indicator addresses the need for comprehensive trend analysis that goes beyond simple moving averages. By combining four distinct trend methodologies with gradient visualization, it reveals: Hull Moving Average: Weighted moving average with reduced lag for responsive trend detection SuperTrend Component: ATR-based bands that identify trend direction and support/resistance ADX Strength Filter: Measures trend strength to separate strong trends from weak/choppy conditions Moving Average Matrix: Three EMAs and two SMAs create alignment-based trend confirmation Trend Classification: Five-state system (Strong Bull, Weak Bull, Sideways, Weak Bear, Strong Bear) Counter-Trend Detection: Identifies potential reversals when price moves against established trend Prismatic Gradient: Visual fill between Hull MA and SuperTrend shows trend intensity Core Components Explained 1. Hull Moving Average (HMA) The Hull MA uses weighted moving averages to create a smooth trend line with minimal lag: The calculation involves three steps: Step 1: Calculate WMA of half-length period Step 2: Calculate WMA of full-length period Step 3: Calculate WMA of the difference using square root of length The result is a moving average that responds quickly to price changes while maintaining smoothness. The indicator applies additional EMA smoothing (default 3 periods) to reduce noise. 2. SuperTrend Calculation SuperTrend uses ATR-based bands to identify trend direction: Source: Average of high and low (HL2) Upper Band: Source + (ATR × Factor) Lower Band: Source - (ATR × Factor) Direction: Bullish when close > upper band, bearish when close < lower band Three modes control band adjustment: Strict Mode: Bands adjust only when price crosses or previous band is breached Quick Mode: Bands adjust when price crosses previous band Quicker Mode: Bands adjust immediately with price SuperTrend provides dynamic support/resistance levels that adapt to volatility. 3. ADX Strength Measurement The Average Directional Index measures trend strength: DI+ (Directional Indicator Plus): Measures upward directional movement DI- (Directional Indicator Minus): Measures downward directional movement ADX: Smoothed average of the difference between DI+ and DI-, normalized Threshold: ADX above threshold (default 25) indicates strong trend Rising ADX: Indicates strengthening trend momentum ADX filters out weak trends and choppy conditions, ensuring signals occur only during strong directional movement. 4. Moving Average Matrix Five moving averages create a trend alignment system: Fast EMA (9): Short-term trend direction Medium EMA (21): Intermediate trend direction Slow EMA (50): Primary trend direction Fast SMA (50): Smoothed primary trend Slow SMA (200): Long-term institutional trend Alignment is measured by comparing the order of these averages: Bullish Alignment: EMA9 > EMA21 > EMA50 > SMA50 (all in ascending order) Bearish Alignment: EMA9 < EMA21 < EMA50 < SMA50 (all in descending order) Mixed Alignment: Averages not in order (choppy or transitional conditions) Perfect alignment indicates strong institutional conviction in the trend direction. 5. Composite Trend Classification [/b> The indicator combines all components into a five-state trend classification: Strong Bull (State 2): Hull rising + SuperTrend bullish + MA alignment bullish + ADX strong Weak Bull (State 1): Hull rising + (SuperTrend bullish OR MA alignment bullish) Sideways (State 0): Mixed signals or weak trend conditions Weak Bear (State -1): Hull falling + (SuperTrend bearish OR MA alignment bearish) Strong Bear (State -2): Hull falling + SuperTrend bearish + MA alignment bearish + ADX strong This classification provides clear trend assessment at a glance. 6. Counter-Trend Detection [/b> The indicator identifies potential reversals when price moves against established trend: Counter-Trend Bull: Trend state neutral/bearish + close > open + price rising + DI+ > DI- + close > Hull + ADX > 20 Counter-Trend Bear: Trend state neutral/bullish + close < open + price falling + DI- > DI+ + close < Hull + ADX > 20 Counter-trend signals include anti-overlap logic to prevent signal clustering and ensure clean placement. 7. Prismatic Gradient Visualization The indicator creates a gradient fill between Hull MA and SuperTrend: Gradient Layers: Multiple intermediate values calculated between Hull and SuperTrend (default 15 layers) Color Intensity: Transparency increases from Hull (solid) to SuperTrend (transparent) Dynamic Coloring: Gradient color matches trend state (green = bullish, red = bearish, cyan = sideways) Visual Effect: Creates a glowing prismatic effect that emphasizes trend strength The gradient provides intuitive visual feedback on trend intensity and direction. 8. Platform Levels Platform levels are horizontal lines at the current Hull MA value: Extension: Lines extend forward and backward from current bar (default 7 bars each direction) Color Coding: Platform color matches current trend state Purpose: Provides visual reference for potential support/resistance at Hull MA level Platforms help identify key levels where price may find support or resistance. Visual Elements Hull Trend Line: Thick line (3px) with regime-based coloring showing primary trend SuperTrend Line: Medium line (2px) with step-line style showing dynamic support/resistance EMA Matrix: Three thin lines showing fast, medium, and slow EMAs with transparency Prismatic Gradient: Multi-layer fill between Hull and SuperTrend creating glow effect Platform Levels: Horizontal lines at Hull MA value extending forward/backward Counter-Trend Signals: Triangles marking potential reversal points Background Coloring: Subtle background tint for strong bull/bear states Information Dashboard: Displays trend state, Hull direction, ADX strength, momentum, alignment, SuperTrend, DI balance, price vs Hull, gradient zone, counter-trend status, and signal How to Use This Indicator Step 1: Check Trend State Monitor the dashboard for current trend state (Strong Bull, Weak Bull, Sideways, Weak Bear, Strong Bear). Trade in the direction of strong states. Step 2: Verify ADX Strength Ensure ADX is above threshold (default 25) for strong trends. Low ADX indicates choppy conditions - avoid trend-following strategies. Step 3: Confirm MA Alignment Check if moving averages are aligned (Bullish/Bearish/Mixed). Perfect alignment confirms institutional conviction. Step 4: Monitor Hull Direction Hull rising = bullish bias, Hull falling = bearish bias. Hull provides the primary trend direction signal. Step 5: Use SuperTrend for Support/Resistance SuperTrend line acts as dynamic support in uptrends and resistance in downtrends. Breaks of SuperTrend warn of trend changes. Step 6: Watch for Counter-Trend Signals Counter-trend signals at extreme levels may indicate reversals. Use these cautiously and confirm with other factors. Step 7: Assess Gradient Zone Price in upper gradient zone (near Hull) = strong trend, price in lower zone (near SuperTrend) = weak trend or potential reversal. Best Practices Trade only in Strong Bull or Strong Bear states for highest probability Avoid trading in Sideways state - wait for clear trend establishment Use ADX as a filter - only trade when ADX > 25 for strong trends Confirm trend with MA alignment before entering positions Use SuperTrend as trailing stop level in trending markets Counter-trend signals work best at extreme levels with divergence Monitor gradient zone - price near SuperTrend may indicate trend exhaustion Combine with higher timeframe trend for additional confirmation Input Parameters Hull Trend Engine: Hull Length: Period for Hull MA calculation (default: 20) Hull Smoothing: Additional EMA smoothing (default: 3) SuperTrend Layer: ATR Period: Period for ATR calculation (default: 10) ATR Factor: Multiplier for band width (default: 3.0) Mode: Strict, Quick, or Quicker (default: Quick) Trend Strength: ADX Length: Period for ADX calculation (default: 14) ADX Smoothing: Smoothing period for ADX (default: 14) Strength Threshold: Minimum ADX for strong trend (default: 25) MA Matrix: Fast EMA: Short-term EMA (default: 9) Medium EMA: Intermediate EMA (default: 21) Slow EMA: Primary EMA (default: 50) Fast SMA: Smoothed primary (default: 50) Slow SMA: Long-term institutional (default: 200) Visual Configuration: Bullish/Bearish Trend Colors: Customizable colors for trend states Sideways/Weak Trend Colors: Colors for neutral and weak states Gradient Layers: Number of gradient fills (default: 15) Show Platforms: Toggle platform level display (default: enabled) Platform Extension: Bars to extend platforms (default: 7) Originality Statement This indicator is original in its multi-dimensional trend approach. While individual components (Hull MA, SuperTrend, ADX, EMAs) are established concepts, this indicator is justified because: It combines four distinct trend methodologies into a unified classification system The five-state trend classification provides clear trend assessment Prismatic gradient visualization creates intuitive trend intensity display Counter-trend detection with anti-overlap logic identifies potential reversals MA alignment analysis measures institutional conviction Integration of Hull MA smoothness with SuperTrend adaptability creates balanced trend detection The comprehensive dashboard presents all trend dimensions simultaneously Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Trend analysis does not guarantee profitable trades. Past trends do not guarantee future trends. Always use proper risk management and never risk more than you can afford to lose. -Made with passion by officialjackofalltrades
Pine Script® Indikator
von officialjackofalltrades
Trend Quality Score (TQS)Trend Quality Score (TQS) is a composite indicator designed to evaluate the strength, direction, and consistency of a trend in a single normalized signal. The indicator combines three core components derived from price action and directional movement: Directional Strength – Measures the relative dominance of buyers vs. sellers using the difference between +DI and -DI. Trend Strength (DX) – Captures the magnitude of directional movement, smoothed to reduce noise. Trend Persistence – Evaluates how consistently price has been moving in one direction over a defined lookback period. These components are weighted and combined into a single score (TQS), which fluctuates around zero: Positive values indicate upward trend conditions Negative values indicate downward trend conditions Values near zero suggest weak or non-trending markets A configurable moving average can be applied to TQS to help identify shifts in trend quality and improve signal clarity. Key Features Combines strength, direction, and persistence into one metric Helps distinguish strong trends from choppy conditions Customizable smoothing and moving average type (SMA, EMA, WMA, RMA) Suitable for trend confirmation, filtering trades, or regime detection How to Use Use TQS above zero to confirm bullish conditions and below zero for bearish conditions Look for crossovers between TQS and its moving average as potential shifts in trend quality Avoid trading when TQS is near zero, as this indicates low-quality or sideways markets This indicator is designed as a confirmation and filtering tool and works best when combined with a broader trading strategy.
Pine Script® Indikator
von TechnicallyNotFinancialAdvice
1
Price Structure Zones with Trend Filter SignalsWhat the script is This is a two-engine trading system combining two independent but complementary methodologies: Engine 1 — Camarilla Pivot Zones (the "map") Camarilla pivots are price levels derived from the previous period's High, Low, and Close. They act like a gravitational grid — price tends to bounce between these levels intraday. There are 5 resistance levels (U1–U5) above the previous close and 5 support levels (D1–D5) below it. The formulas are fixed constants from Franklin Ochoa's Secrets of a Pivot Boss. Engine 2 — Momentum/ADX Filter + Range Filter (the "trigger") The ADX (Average Directional Index) measures trend strength, not direction. When ADX is below your threshold, the market is consolidating/ranging. The script then applies a Range Filter — a smoothed band around price — to detect the precise moment price breaks out of that consolidation. That breakout becomes your entry signal, complete with SL and TP levels. How to read each level: U1 / D1 & U2 / D2 — Minor friction zones. Price often pauses or wicks here but doesn't reverse hard. Not great for entries; good for partial profit-taking. U3 / D3 — The "decision zone." Price respecting U3 (failing to break above) is a short signal; price holding D3 (bouncing off support) is a long signal. These are your primary reversal trade zones. U4 / D4 — The breakout threshold. A clean daily close above U4 = strong bullish momentum. Below D4 = strong bearish momentum. These are your breakout continuation entries. U5 / D5 — Extreme exhaustion / spike targets. Rarely reached but useful as hard TP or warning zones when reached intraday. How to trade the signals- Two distinct trade setups exist: Setup A — Reversal trade at U3/D3 When price approaches U3 from below and the ADX signal fires short (range filter steps down), that is a high-probability short. Entry at the close of the signal bar, SL above U4, TP1 at U1/MID, TP2 at D1. The reverse logic applies at D3 for longs. This is the bread-and-butter setup — it works best in ranging/sideways markets. Setup B — Breakout trade above U4 / below D4 When price breaks and closes above U4 with the ADX signal firing long, that is a momentum continuation trade. This one requires the ADX to have been low (consolidating) before the breakout — the script's cooldown and range detection ensure you're catching the first pop out of compression, not a late chase. How SL and TP are calculated by the script: The risk levels are multiples of the Band Radius (a smoothed ATR-like measure). By default: SL = 0.4× band radius, TP1 = 0.5× band radius, TP2 = 1.0× band radius. This gives you roughly a 1.25:1 reward-to-risk on TP1 — conservative and achievable. TP2 is disabled by default; enable it for trending markets. Best timeframes: The pivot resolution (currently set to Daily "D") is independent of your chart timeframe. Here's how to think about it: Pivot resolution "D" (Daily pivots) works best on: 5-minute to 30-minute charts for intraday scalping and day trading 1-hour charts for intraday swing entries These are the most commonly used Camarilla applications Pivot resolution "W" (Weekly pivots) works best on: 1-hour to 4-hour charts Good for swing traders holding 2–5 days Pivot resolution "M" (Monthly pivots) works best on: Daily charts Good for position traders holding weeks to months Practical tips: Confluence is everything. The best trades happen when the ADX signal fires exactly at a U3 or D3 level. An ADX signal in the middle of nowhere between levels is lower quality — skip it or reduce size. Avoid trading through major news. The script has no awareness of fundamental events. If a signal fires 10 minutes before a Budget/central bank/RBI announcement, stand aside. The cooldown bar setting (default 20) prevents re-entry too soon after a signal. On faster timeframes (5m), you may want to reduce it to 8–12. On 4H/Daily, increase it to 30–50. On Indian markets specifically (NSE/BSE): Daily pivots on a 15-minute chart work very well for Nifty 50, Bank Nifty, and individual large-cap stocks. The 9:15–10:00 opening range often sets the tone, and U3/D3 levels tend to act as strong intraday magnets. Watch for the first ADX signal after 10:00 AM IST when the opening volatility has settled. Past statistical behavior does not guarantee future results — use as context, not as a signal in isolation. Enjoy !!
Pine Script® Indikator
von kingshukghosh71
3
Chop ShieldThe Chop Shield is an all-in-one market state indicator designed to solve the two biggest problems for intraday traders: over-trading in sideways "chop" and entering breakouts with no institutional backing. Built specifically for high-speed environments like SPY 0DTE and Tick Charts, this script uses a multi-layered confluence of volatility, momentum, and adaptive volume to "gray out" the noise and highlight high-probability "coiled spring" releases. ### Key Features Smart "Traffic Light" Candle Coloring: Slate Blue (#708090): The "Neutral Zone." This triggers during volatility squeezes, low ADX (Average Directional Index), or the mid-day "Lunch Doldrums." If it’s Slate, you stay at your desk. White/Black High-Contrast Bodies: Once the market breaks out of chop, the candles return to a clean White (Bullish) or Black (Bearish) state. The Squeeze Engine (Orange Background): Uses a Bollinger Band/Keltner Channel relationship to identify periods of extreme volatility contraction. These "Squeezes" are the precursor to the largest moves of the day. High-Confidence "Pressure" Signals: Green/Red Diamonds: These appear when a candle meets strict price action criteria (70%+ solid body, closing at extremes) paired with high relative volume. Live Bias Arrows: "BUY/SELL" markers trigger only when the High-Confidence bar aligns with the VWAP Slope and price location. Adaptive Session Volume (The Yellow Marker): Standard RVOL indicators are useless at the open because volume is always high. Our Adaptive Logic uses a 2.5x threshold during the 9:30–10:15 AM window and scales down to 1.5x for the rest of the day. If you see a yellow marker, it means volume is truly abnormal for that specific time of day. Professional Filtering: RTH Only: Automatically hides all signals and coloring during Pre-Market and Post-Market to keep your chart clean for the opening bell. Lunch Doldrums: Hard-coded "Gray Zone" between 11:30 AM and 1:30 PM EST to protect you from the lowest-probability trading window. ### How to Trade It This indicator is best used as a Validation Filter for levels-based strategies (Initial Balance, ORB, or Gap Fills). The Setup: Identify a Volatility Squeeze (Orange Background) where candles are Slate Blue. The Trigger: Wait for the Squeeze to end and the candles to turn White or Black. The Confirmation: Look for a Green/Red Diamond paired with an Adaptive Volume Spike (Yellow "|"). The Exit: Use the Blue VWAP Line as your dynamic trailing stop or mean-reversion target. ### Confluence Perfect for traders using Edgeful, ICT/SMC concepts, or standard Initial Balance breakouts. It removes the "guesswork" of whether a breakout is real or a low-volume trap.
Pine Script® Indikator
von chrisrophwe
Geass SRV - Support Resistance VolumeGeass SRV - Support Resistance Volume by MasterTony Volume profile engine adapted from Zeiirman's work — used with respect and full credit. Most indicators tell you where price is. This one tells you where the market lives. The Support Band + Volume Profile is built around a single idea: price gravitates toward zones where real participation has happened, and it respects dynamic boundaries defined by the market's own momentum structure. This indicator surfaces both at once — a trend-adaptive zone on price and the volume history behind it. How It's Calculated Trend Direction (ADX + 200 SMA) Market direction is read continuously using the DMI system — DI+ vs DI− for directional dominance, with the 200 SMA as a tiebreaker when they are equal. There is no neutral state. The indicator always commits to bull or bear, and all colors and zone behavior follow from that. The Support Band (SMA 20 / EMA 21) The innermost layer is a filled zone between the 20-period SMA and the 21-period EMA. These two averages are nearly identical in length but calculated differently, so the gap between them stays tight — producing a precise dynamic level rather than a wide smear. This is the mean of the recent trend. In a bull market it is the floor price returns to on pullbacks. In a bear market it is the ceiling price fails at on rallies. Green in a bull trend, red in a bear trend. The Kijun Band — Main Trend Support and Resistance The outer layer is the primary structural boundary of the indicator. The Kijun-Sen and Tenkan-Sen form a filled zone that acts as the main dynamic support in uptrends and the main dynamic resistance in downtrends, derived from Ichimoku Cloud. When price holds above this band the trend is intact. When price breaks through it and cannot reclaim it, the trend is in trouble. Both lines adapt their lengths based on market conditions — compressing when momentum is strong and price is trending cleanly, expanding when conditions are weak or choppy. This means the boundary zone tightens in fast trends and widens when the market is uncertain, automatically adjusting to the environment. The lines are colored cyan in a bull regime and magenta in a bear regime, keeping them distinct from the inner band at all times. The Kijun line within that band is the single most important level to watch. It is the baseline the trend must hold. Everything else in the indicator gives context to what happens at the Kijun. Volume Profile — Reading the Zones Volume profile engine adapted from Zeiirman's original work. The volume profile is drawn to the right of price covering the last 240 bars. It answers the question the bands cannot: how much real participation has happened at each price level. A band sitting on a high-volume node is structurally different from a band sitting in empty space. Point of Control (POC): The price level with the highest total volume — the market's center of gravity. When the POC aligns with the Kijun or the support band, that level is not just a moving average. It is a price the market has repeatedly chosen, making it the highest-conviction read the indicator can produce. Value Area: The central 68% of all volume, shown as the brightest bars on the profile. The edges of the Value Area are high-probability reaction levels. Price approaching from outside tends to stall at the boundary or accelerate into the core. When the band zone overlaps a Value Area edge, dynamic structure and volume history are stacked at the same level. Buy/Sell Split: Every row is divided between buying volume (green) and selling volume (red). When one side exceeds 60% it renders as a strong single color. This shows not just where volume was high — it shows who was in control. A dominant green node below price is demand. A dominant red node above is supply. Low Volume Gaps: Rows with very little volume are structural gaps. Price moves through them quickly with little friction and accelerates until it hits the next meaningful cluster. When the band sits at the edge of a gap, a break can be fast and directional. Freshness Fade: Recent volume glows brighter. Older volume fades. This prevents the profile from treating a level from 200 bars ago the same as one from yesterday. Price Pivot S/R Lines The last three swing highs and swing lows drawn as horizontal dashed lines — red for resistance, green for support. These are price memory. The exact levels where the market has previously reversed. Bollingerbands Custom Bollinger bands that can be toggled on to see outer lines of directional trend How to Read It The zone between the support band and the Kijun boundary is the core read. Green means the corridor is support — healthy pullbacks happen here. Red means it is resistance — rallies fail here. A tight narrow zone signals strong trend momentum. A wide zone signals a slower or more uncertain market. The Kijun line is the level that matters most. A pullback that holds above it and bounces is trend continuation. A close below it is a warning. A reclaim from below is the first sign of a potential reversal. Every trade setup built with this indicator lives or dies at the Kijun. The volume profile tells you whether the Kijun level carries real weight. A Kijun sitting on a large green volume node has been defended by buyers repeatedly — it has structural backing. A Kijun sitting in thin faded volume is unproven. When the POC and the Kijun are at the same price, that is the strongest signal this indicator can produce. Value Area edges add a second volume-based reference layer. Watch for the band or Kijun to overlap with the top or bottom of the Value Area — that is confluence of two independent structural forces at the same level. Pivot lines show the nearest price structure above and below. A green pivot just below the Kijun in a bull trend means two separate historical references are stacked — structural and volume-based support reinforce each other. How to Trade With It Bull Trend Pullback Band is green. Price pulls back into the support band or toward the Kijun. Check the volume profile — is there a high-volume green node or the POC near that level? If yes, the zone has volume backing. Wait for a reversal signal inside the zone. Enter long with a stop below the Kijun. The nearest green pivot below is your hard invalidation. Bear Trend Rally Band is red. Price rallies into the band or toward the Kijun. Check the volume profile — is there a high-volume red node or the POC near the Kijun? If yes, the resistance is volume-confirmed. Wait for rejection inside the zone. Enter short with a stop above the Kijun. The nearest red pivot above is your invalidation. Volume Gap Move When price breaks out of the band and enters a low-volume section of the profile, expect the move to accelerate. There is no structural resistance in that gap. Price will run until it hits the next meaningful volume cluster. Use the profile to identify where that cluster is and target it. Trend Change Warning When the band flips color, stop trading the previous direction. Wait for price to pull back and hold the newly-colored zone on a retest before entering the new direction. Check the POC — if it is already on the new direction's side of price, the flip has volume support and is more likely to hold. Confluence Filter The cleanest setups occur when everything agrees: band color matches the trade direction, price is testing the Kijun, the POC or a high-volume node is at or near that level, and a pivot line adds nearby structure. When all of that stacks at one price, the zone is as high-conviction as this indicator gets. Credits Volume profile engine — Gaussian volume distribution, buy/sell split, POC calculation, Value Area logic, and freshness fade — adapted from Zeiirman's original work. Full credit to Zeiirman for the foundation that powers the volume layer of this indicator.
Pine Script® Indikator
von MasterTonyTA
Viprasol Multi-Timeframe Trend Signal EngineOverview The Multi-Timeframe Trend Signal Engine is a comprehensive overlay indicator that combines SuperTrend signals, a 5-EMA trend ribbon, EMA cloud, chaos trend line, order blocks, and an RSI-based take profit system with a 6-timeframe ADX trend dashboard. The core system — originally developed by Zakaria Safri — is a mature, feature-rich trading toolkit. This version adds a confluence quantification layer that transforms the dashboard's six independent timeframe readings into a single scored consensus metric, turning passive multi-timeframe observation into an actionable alignment signal. How It Works SuperTrend Signal Engine: A custom SuperTrend calculation generates buy and sell signals using ATR-based dynamic bands. All signals require bar-close confirmation to prevent repainting on confirmed bars. Two modes are available: "All Signals" shows every crossover, while "Filtered Signals" adds an EMA gate requiring price to be above (for buys) or below (for sells) the main EMA before a signal qualifies. Multi-Timeframe ADX Dashboard: The indicator fetches ADX trend quality from six timeframes (5m, 15m, 1H, 4H, 12H, Daily) using an anti-repaint security pattern (previous bar value with lookahead — confirmed bars only). Each timeframe is classified as Bullish, Bearish, or Neutral based on an adaptive threshold derived from the median ADX value multiplied by a configurable factor. This means trend classification adjusts to the instrument's own volatility regime rather than relying on fixed levels. MTF Confluence Score (Viprasol Addition): The six individual timeframe trend readings are aggregated into a Confluence Score ranging from 0 to 6. The score counts how many timeframes currently show a bullish ADX trend. A separate bear confluence count tracks bearish alignment independently. The score is color-coded in the dashboard: green at 5-6 (strong bullish consensus), yellow at 3-4 (mixed), red at 0-2 (weak or bearish-dominant). This transforms what would otherwise be six separate readings requiring manual interpretation into a single quantified alignment metric. Two dedicated alert conditions fire when 5 or more timeframes agree on direction, providing automated detection of high-confluence setups. Trend Ribbon: Five EMAs (20, 25, 35, 45, 55) form a color-coded ribbon. The ribbon is bullish when the fastest EMA leads and bearish when it trails, shifting state on crossover. It provides a visual trend context layer independent of the SuperTrend signal system. EMA Cloud: A 150/250 EMA cloud identifies longer-term structural trend direction. Green fill indicates bullish structure, red fill indicates bearish structure. This serves as a backdrop for assessing whether shorter-term signals align with the broader trend. Chaos Trend Line: An adaptive trend line using pivot-based detection with ATR channels. It tracks the prevailing trend using highest and lowest pivot levels and changes color on confirmed reversals, providing another independent trend perspective. Order Blocks: Structural order blocks based on pivot break-of-structure logic. Bullish order blocks form at swing lows when higher highs break structure; bearish order blocks form at swing highs when lower lows break structure. Boxes fade when price tests them and are removed when fully invalidated. RSI Take Profit System: A sequential TP system using RSI crossovers at configurable levels (default 70/85/100 for bullish, 30/15/5 for bearish). Each TP level only fires after the previous one has triggered within the current signal cycle, creating a staged exit framework. TP1 must trigger before TP2 becomes active, and TP2 before TP3. Reversal Signals: A 25-period RSI-based reversal detector that fires when RSI crosses above the oversold level or below the overbought level, using bar-close confirmation. Risk Management Lines: Visual-only TP and SL lines plotted relative to entry price. These are for reference only and do not execute trades. Key Features - SuperTrend buy/sell signals with bar-close confirmation (no repainting on confirmed bars) - Two signal modes: All Signals and EMA-Filtered Signals - 6-timeframe ADX trend dashboard (5m, 15m, 1H, 4H, 12H, Daily) - MTF Confluence Score (0-6) quantifying multi-timeframe bullish/bearish alignment - 5-EMA trend ribbon with directional color coding - EMA 150/250 cloud for structural trend context - Adaptive chaos trend line with pivot-based detection - Structural order blocks with fade-on-test and auto-invalidation - RSI-based sequential take profit system (TP1, TP2, TP3) - Visual TP/SL risk management lines - RSI reversal signals at extreme levels - Channel breakout levels from pivot highs and lows - Three candle coloring modes (Scalper RSI, Trend Ribbon, EMA Direction) - RSI background zones for overbought/oversold visualization - Configurable dashboard position and font size - All visual elements individually toggleable - 10 alert conditions with dynamic messages How to Use Reading the Dashboard: Start with the MTF Confluence Score. A score of 5-6 out of 6 indicates strong multi-timeframe bullish alignment — the majority of timeframes from 5-minute through Daily are trending in the same direction. A score of 0-1 indicates strong bearish alignment. Scores of 3-4 represent mixed conditions where caution is warranted. The individual timeframe rows below the score show exactly where agreement and disagreement exist, letting you identify which timeframes are diverging. Signal Workflow: Use "Filtered Signals" mode for higher-quality entries that align with the main EMA direction. Use "All Signals" mode when you want to capture more frequent opportunities in ranging or transitional markets. Reversal signals (purple labels) flag potential exhaustion at RSI extremes. The sequential TP markers (TP1, TP2, TP3) provide staged exit targets based on RSI momentum progression. Combining Confluence with Signals: The confluence score is most valuable as a directional filter. A buy signal firing when the confluence score is 5 or 6 carries more weight than one firing at a score of 2. Similarly, a sell signal at confluence 0 or 1 has stronger multi-timeframe backing. This is the core analytical addition — rather than visually scanning six rows, you get a single number that quantifies alignment strength. Suggested Starting Points: - Scalping (1m-5m): Sensitivity 2.0, ATR Factor 8, Filtered mode - Intraday (15m-1H): Sensitivity 2.5, ATR Factor 11, All Signals mode - Swing (4H-1D): Sensitivity 3.0, ATR Factor 14, Filtered mode Settings Main Settings — Sensitivity (controls signal frequency), Signal Mode (All or Filtered), ATR Factor (band width) Trend Settings — Toggle trend ribbon, EMA cloud, chaos trend line, order blocks; configurable main EMA period Signal Settings — Show/hide buy-sell signals, candle coloring mode selection, RSI background zones, channel breakouts Dashboard Settings — Show/hide dashboard, position selection, font size Risk Management — Visual-only TP/SL lines, TP strength multiplier, individual TP level toggles Alerts 1. Buy Signal — SuperTrend crossover buy confirmed at bar close 2. Sell Signal — SuperTrend crossover sell confirmed at bar close 3. Filtered Buy — Buy signal with price above main EMA 4. Filtered Sell — Sell signal with price below main EMA 5. Reversal Up — RSI crosses above oversold level 6. Reversal Down — RSI crosses below overbought level 7. Ribbon Turned Bullish — EMA ribbon state change to bullish (edge-detected, fires once on crossover bar) 8. Ribbon Turned Bearish — EMA ribbon state change to bearish (edge-detected, fires once on crossover bar) 9. Strong Bullish MTF Alignment — 5+ of 6 timeframes showing bullish ADX trend 10. Strong Bearish MTF Alignment — 5+ of 6 timeframes showing bearish ADX trend All alerts include dynamic message variables: {{ticker}}, {{close}}, and {{interval}}. Limitations & Disclaimer - MTF data uses the anti-repaint pattern (previous bar value with lookahead) to avoid repainting on confirmed bars. The current bar's data updates in real-time until that bar closes. - ADX trend classification uses an adaptive threshold (median ADX multiplied by a configurable factor). "Neutral" readings are relative to the instrument's recent volatility, not fixed levels. This means the same ADX value may be classified differently across instruments or time periods. - The RSI TP system is sequential — TP2 only becomes active after TP1 fires, and TP3 after TP2. If TP1 never triggers during a signal cycle, later levels will not fire. - Order blocks use a simplified break-of-structure method based on 3-bar pivots. They are structural levels, not institutional order flow data. - The Risk Management TP/SL lines are visual references only — they do not place or manage trades. - This indicator is for educational and analytical purposes only. It is not financial advice. Always use proper risk management and validate signals with your own analysis. Test on a demo account before live trading. Credits & Attribution This script is derived from "Multi-Timeframe Trend Indicator with Signals" v4.4 by Zakaria Safri. The original is a substantial, feature-rich indicator that provides the SuperTrend signal engine, 5-EMA trend ribbon, EMA cloud, chaos trend line, 6-timeframe ADX dashboard, order block detection, RSI sequential take profit system, TP/SL risk management lines, reversal signals, channel breakout levels, three candle coloring modes, volatility measurement, and 8 alert conditions. The vast majority of the analytical logic in this script is Zakaria Safri's work. Viprasol's additions: MTF Confluence Score (aggregating 6 timeframe readings into a 0-6 quantified alignment metric with color coding), separate bear confluence tracking, MTF alignment alerts (firing at 5+ timeframe agreement), and ribbon trend change alerts using edge detection for single-bar precision. These additions layer a confluence quantification system on top of the original's multi-timeframe dashboard. Published open-source per TradingView House Rules governing derivative works of open-source scripts.
Pine Script® Indikator
von viprasol
4
Regime Classifier [JOAT]Regime Classifier Introduction The Regime Classifier is a sophisticated market state detection system designed to identify and classify market conditions into distinct operational regimes. Understanding the current market regime is perhaps the most critical factor in successful trading - a strategy that works beautifully in a trending market will fail miserably in a ranging market, and vice versa. This indicator solves that fundamental problem by providing clear, actionable classification of market states, allowing traders to adapt their approach to current conditions. This tool is built for traders who understand that markets are not random but move through distinct phases, each requiring different strategies and risk management approaches. Whether you're a systematic trader needing regime filters, a discretionary trader seeking market context, or a portfolio manager adjusting exposure, this classifier provides the institutional-grade market intelligence needed to navigate any market environment successfully. Why This Indicator Exists Most traders apply the same strategy regardless of market conditions, then wonder why their performance is inconsistent. This indicator addresses that critical flaw by: Regime Classification: Identifies four distinct market states with clear characteristics Regime Strength: Measures how strongly the market exhibits regime characteristics Regime Persistence: Tracks how long the current regime has been in place Regime Quality: Evaluates the reliability of the current regime classification Session Awareness: Considers session context for regime analysis Regime Transitions: Detects and signals regime changes for strategy adaptation The classifier transforms the complex, often subjective process of market analysis into an objective, systematic framework that can be consistently applied across all instruments and timeframes. Core Components Explained 1. ADX-Based Trend Detection The Average Directional Index (ADX) is the primary tool for trend detection: // ADX calculation float atr_val = ta.rma(ta.tr(true), i_adx_period) float up_move = high - high float down_move = low - low float plus_dm = up_move > down_move and up_move > 0 ? up_move : 0 float minus_dm = down_move > up_move and down_move > 0 ? down_move : 0 float plus_di = 100 * ta.rma(plus_dm, i_adx_period) / atr_val float minus_di = 100 * ta.rma(minus_dm, i_adx_period) / atr_val float adx = 100 * ta.rma(math.abs(plus_di - minus_di) / (plus_di + minus_di), i_adx_period) ADX components: ADX Value: Trend strength (0-100), regardless of direction +DI: Bullish directional movement -DI: Bearish directional movement Trend Threshold: Minimum ADX for trend classification (default 25) Directional Bias: +DI vs -DI for trend direction ADX above 25 indicates a trending market, while below 25 suggests ranging or volatile conditions. 2. ATR-Based Volatility Analysis The Average True Range (ATR) measures volatility and helps distinguish between different non-trending states: // ATR analysis float atr_current = ta.atr(i_atr_period) float atr_average = ta.sma(atr_current, i_atr_period * 3) float atr_ratio = atr_average > 0 ? atr_current / atr_average : 1.0 // Volatility thresholds float expansion_threshold = i_atr_expansion_mult float contraction_threshold = i_atr_contraction_mult ATR components: Current ATR: Recent volatility measurement Average ATR: Long-term volatility baseline ATR Ratio: Current volatility relative to average Expansion Threshold: Ratio indicating high volatility (default 1.4) Contraction Threshold: Ratio indicating low volatility (default 0.6) ATR analysis helps distinguish between ranging (low volatility) and volatile (high volatility) markets when ADX is below the trend threshold. 3. Regime Classification Logic The indicator classifies markets into four distinct regimes: // Regime classification int market_regime = 0 if adx >= i_adx_trend market_regime := 1 // Trending else if atr_ratio >= expansion_threshold and adx < i_adx_trend market_regime := 3 // Volatile else if atr_ratio <= contraction_threshold and adx < i_adx_trend market_regime := 2 // Ranging else market_regime := 0 // Neutral Regime types: Trending (ADX ≥ 25): Strong directional movement with clear trend Ranging (ADX < 25, ATR ratio ≤ 0.6): Low volatility, sideways movement Volatile (ADX < 25, ATR ratio ≥ 1.4): High volatility, erratic movement Neutral (ADX < 25, 0.6 < ATR ratio < 1.4): Transition between defined states Each regime has distinct characteristics that require different trading approaches. 4. Regime Strength Measurement Not all regimes are created equal - some are stronger and more reliable than others: // Regime strength calculation float regime_strength = 0.0 switch market_regime 1 => regime_strength := math.min(adx / 50.0 * 100, 100) // Trending strength 2 => regime_strength := math.min((1 - atr_ratio) / (1 - contraction_threshold) * 100, 100) // Ranging strength 3 => regime_strength := math.min((atr_ratio - 1) / (expansion_threshold - 1) * 100, 100) // Volatile strength 0 => regime_strength := 50.0 // Neutral default Strength interpretation: Trending Strength: Based on ADX value (higher ADX = stronger trend) Ranging Strength: Based on how low volatility is (lower ATR = stronger range) Volatile Strength: Based on how high volatility is (higher ATR = stronger volatility) Neutral Strength: Fixed at 50% as baseline Strength Range: 0-100% indicating regime confidence Higher strength values indicate more reliable regime classification. 5. Regime Persistence Analysis The duration of a regime provides additional context about its reliability: // Regime persistence tracking var int regime_bars = 0 var int regime_start_bar = 0 if market_regime == market_regime regime_bars := regime_bars + 1 else regime_bars := 1 regime_start_bar := bar_index // Persistence score float persistence_score = math.min(float(regime_bars) / i_persistence_lookback * 100, 100) Persistence features: Regime Bars: Number of consecutive bars in current regime Regime Start: When the current regime began Persistence Score: Normalized duration (0-100%) Lookback Period: Reference period for normalization (default 50) Mature Regimes: Higher persistence indicates established conditions Long-lasting regimes are more reliable than newly formed ones. 6. Regime Quality Assessment Quality evaluates how well the current market fits the regime characteristics: // Quality assessment float quality_score = 0.0 float adx_quality = adx / 50.0 * 50 // 50% weight float atr_quality = market_regime == 2 ? (1 - atr_ratio) / (1 - contraction_threshold) * 50 : market_regime == 3 ? (atr_ratio - 1) / (expansion_threshold - 1) * 50 : 25 quality_score := adx_quality + atr_quality Quality components: ADX Quality: How well trend strength matches regime expectations ATR Quality: How well volatility matches regime expectations Quality Score: Combined assessment (0-100%) High Quality: Clear regime characteristics Low Quality: Ambiguous or transitioning conditions High quality scores indicate clear, unambiguous market conditions. 7. Session Context Integration Market behavior varies significantly across trading sessions: // Session analysis bool asian_session = time(timeframe.period, "0000-0800") bool london_session = time(timeframe.period, "0700-1600") bool ny_session = time(timeframe.period, "1200-2100") // Session-specific adjustments float session_multiplier = 1.0 if london_session session_multiplier := 1.2 // Higher volatility expected else if asian_session session_multiplier := 0.8 // Lower volatility expected Session features: Session Detection: Identifies major trading sessions Session Multipliers: Adjusts expectations based on session characteristics Session Persistence: Tracks regime duration within current session Session Quality: Evaluates regime quality within session context Session Transitions: Identifies regime changes at session opens/closes Session context helps interpret regime changes and anticipate behavior. Visual Elements Regime Histogram: Color-coded bars showing current regime Strength Meter: Visual representation of regime strength Persistence Line: Shows regime duration over time Quality Gauge: Quality score visualization Background Colors: Regime-based background shading Session Markers: Visual session boundaries Dashboard: Real-time regime metrics Transition Alerts: Visual regime change notifications The dashboard displays: 1. Current market regime and confidence 2. Regime strength and persistence 3. Quality score and trend direction 4. Session context and behavior 5. Regime history and transitions 6. Recommended strategies for current regime 7. Risk management adjustments 8. Regime forecast based on patterns Input Parameters ADX Settings: ADX Period: Trend strength calculation (default: 14) Trend Threshold: Minimum ADX for trend regime (default: 25) ADX Smoothing: Additional smoothing for ADX (default: 3) ATR Settings: ATR Period: Volatility calculation (default: 14) Expansion Multiplier: High volatility threshold (default: 1.4) Contraction Multiplier: Low volatility threshold (default: 0.6) Analysis Settings: Persistence Lookback: Reference for persistence score (default: 50) Quality Smoothing: Smoothing for quality calculation (default: 5) Session Awareness: Enable session analysis (default: true) Visual Settings: Color Scheme: Customizable regime colors Background Shading: Enable regime backgrounds Dashboard Display: Show metrics panel Alert Settings: Configure regime change alerts How to Use This Indicator Step 1: Identify Current Regime Check the dashboard for the current market regime. Each regime requires a different approach: Trending: Use trend-following strategies, let winners run Ranging: Use mean-reversion strategies, take profits at levels Volatile: Reduce position size, use wider stops, or avoid trading Neutral: Wait for clarity, reduce trading activity Step 2: Assess Regime Strength Higher strength indicates more reliable conditions. In strong regimes (80%+), you can be more aggressive with position sizing. In weak regimes (<50%), reduce exposure and wait for confirmation. Step 3: Monitor Persistence Newly formed regimes (<10 bars) may be false signals. Mature regimes (>20 bars) are more established and reliable. Consider regime persistence in your strategy selection. Step 4: Evaluate Quality High quality scores (>75%) indicate clear market conditions. Low quality scores (<50%) suggest ambiguity - reduce trading or wait for clarity. Step 5: Consider Session Context Regimes that persist across multiple sessions are more significant. Regime changes at session opens often set the tone for the session. Step 6: Watch for Transitions Regime transitions signal strategy changes. A shift from trending to ranging requires switching from trend-following to range-bound strategies. Best Practices Always adapt your strategy to the current regime - don't use a trending strategy in ranging markets High strength + high quality = maximum confidence in regime classification Low persistence regimes (<10 bars) may be false - wait for confirmation Session transitions often trigger regime changes - be alert at session opens Volatile regimes are dangerous for most traders - consider reducing activity Regime persistence is key - the longer a regime persists, the more reliable it is Quality scores below 50% suggest waiting for clarity Combine regime analysis with your existing strategy for better results Keep a regime journal to track how each instrument behaves in different regimes Use regime transitions as signals to adjust your entire trading approach Strategy Applications by Regime Trending Regime: Trend-following strategies (moving averages, ADX, momentum) Let winners run to maximum targets Use trailing stops to capture extended moves Add to positions on pullbacks in trend direction Higher position sizing due to clear direction Ranging Regime: Mean-reversion strategies (RSI, Stochastic, Bollinger Bands) Take profits at support/resistance levels Use fixed targets - don't let winners turn into losers Fade extreme moves toward the range middle Smaller position sizing due to limited moves Volatile Regime: Reduce position size significantly (50% or less) Use wider stops to avoid premature exits Consider sitting out until conditions improve Focus on volatility breakout patterns if trading Quick profit taking - volatile conditions reverse quickly Neutral Regime: Wait for clarity before taking new positions Manage existing positions more actively Reduce trading frequency Look for regime transition signals Focus on longer timeframe analysis for direction Technical Implementation Built with Pine Script v6 featuring: Advanced ADX calculation with directional movement analysis Multi-timeframe ATR analysis for volatility assessment Regime classification with confirmation logic Strength, persistence, and quality scoring systems Session awareness with timezone handling Comprehensive visualization with multiple display modes Real-time dashboard with 10 key metrics Alert conditions for regime changes and thresholds Export functions for strategy integration Historical regime tracking and pattern recognition The code uses confirmed bars for all calculations to prevent repainting and ensure reliable regime classification. Originality Statement This indicator is original in its comprehensive approach to regime classification and market state analysis. While ADX and ATR are established tools, this indicator is justified because: It synthesizes trend and volatility analysis into a unified regime classification system The strength, persistence, and quality scoring provides multi-dimensional regime assessment Session awareness adds critical context often missing from regime analysis Regime transition detection helps traders adapt strategy changes proactively The four-regime classification (Trending, Ranging, Volatile, Neutral) covers all market states Quality assessment helps distinguish between clear and ambiguous market conditions Persistence analysis identifies mature, reliable regimes versus new, potentially false ones Comprehensive visualization makes complex regime analysis accessible and actionable Export functions enable regime-based strategy filtering and adaptation Each component provides unique insights: ADX shows trend, ATR shows volatility, strength shows conviction, persistence shows duration, and quality shows clarity The indicator's value lies in transforming the abstract concept of "market conditions" into concrete, actionable classifications that traders can use to adapt their strategies systematically and consistently. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Regime classification is a tool for understanding market conditions, not a prediction system. Market regimes can change suddenly due to news events, economic data, or changes in market structure. Past regime behavior does not guarantee future patterns. The indicator's classifications are mathematical calculations based on historical patterns and should be used in conjunction with other forms of analysis. Always use proper risk management, including stop losses and position sizing appropriate for current market conditions. Different regimes require different risk approaches - volatile regimes may require smaller positions and wider stops. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this system. -Made with passion by officialjackofalltrades
Pine Script® Indikator
von officialjackofalltrades
TetraTrend Engine [MarkitTick]💡 The TetraTrend Engine is an advanced, multifaceted overlay indicator designed to provide traders with a comprehensive view of market structure, trend direction, and institutional liquidity levels. By capturing and freezing critical moving average data at a user-defined moment in time, it transforms lagging indicators into static support and resistance frameworks. Furthermore, it integrates a sophisticated Multi-Timeframe (MTF) confluence matrix, ADX-based chop filtering, and dynamic position sizing, making it a complete suite for methodical trade execution. Please note that if applied to non-standard charts (like Heikin Ashi or Renko), the script's calculations may repaint. ✨ Originality and Utility Standard moving averages constantly adjust to new price data, which is useful for trailing trends but less effective for identifying historical break-and-retest zones. This script introduces a novel "Freeze Point" mechanic. At a specific, fixed date and time, the engine captures the exact values of four distinct moving averages and the Average True Range (ATR). These values are then projected forward as horizontal levels, creating a persistent architectural map of the market based on a fundamental historical event (like an earnings report, macroeconomic news release, or structural pivot). Combined with an Auto-Anchored VWAP that automatically initiates from this exact freeze date, it offers a highly unique, institutional-grade perspective on volumetric average price versus static historical momentum. 🔬 Methodology and Concepts ● Core Trend Identification The indicator calculates four separate moving averages, with default lengths of 20, 50, 100, and 200. Users can toggle the calculation method between Simple (SMA), Exponential (EMA), Weighted (WMA), and Volume-Weighted (VWMA) moving averages. ● The Freeze Engine A timestamp is set by the user (defaulting to a specific date like "2025-12-31 23:59"). Once the market time crosses this threshold, the script triggers a state where calculations are locked. It records the exact values of the four MAs and the 14-period ATR at that exact candle. ● Institutional Confluence and Risk Matrix The script checks higher timeframe (HTF) trend alignment using a primary HTF filter (defaulting to Daily). An optional MTF Matrix requires alignment across three custom timeframes (e.g., 240m, Daily, Weekly) before validating any bullish signals. It incorporates an ADX threshold (default 20.0) to filter out choppy, ranging markets, ensuring signals are only generated during periods of active momentum. 🎨 Visual Guide ● Chart Overlays and Lines MA 1 (Length 20): Plotted in bright Cyan (#00E5FF). MA 2 (Length 50): Plotted in Teal (#14B5CB). MA 3 (Length 100): Plotted in Royal Blue (#2979FF). MA 4 (Length 200): Plotted in Purple (#AA00FF). Freeze Marker: A vertical line (default Dashed, colored Gray/Blue) denotes the exact moment the historical levels were captured. Anchored VWAP: If enabled, an Orange line (#FFB74D) plots the volume-weighted average price starting precisely from the Freeze Marker. ● Dynamic Liquidity Zones If enabled, semi-transparent shaded bands appear around Frozen Level 1 and Frozen Level 4. These bands represent a distance of 0.5 * Frozen ATR, illustrating expected volatility boundaries at the time of the freeze. ● Analytics Dashboard A heads-up display table is drawn in the top-right corner, displaying a dark theme with blue/gray borders. It lists the HTF Trend Status (Bullish in Green, Bearish in Red). It displays the current Market State (Trending/Active vs. Chop/Low Vol) based on the ADX. It shows current Volatility (ATR) and ADX Strength. If enabled, it outlines the MTF Matrix Status and the mathematically calculated Dynamic Position Size. ● Signal Shapes and Labels A green triangle pointing up (#00E676) plots below the bar when a valid Long signal is generated. Dynamic labels attach to the right side of the frozen levels, constantly updating to show the MA length and exact price level. 📖 How to Use ● Setting the Anchor Identify a major market event on your chart (a swing high/low, a CPI data release, or a sudden volume spike). Open the settings and input the exact date and time of this event into the "Fixed Date/Time (Freeze Point)" input. ● Interpreting Signals Wait for the market to interact with the freshly drawn horizontal frozen levels. A valid Long signal (Green Triangle) will only trigger if: the price crosses above Frozen Level 1, the HTF trend is bullish, the market is not ranging (ADX > threshold), and the optional MTF matrix is fully aligned. Monitor the Analytics Dashboard table to ensure the broader market environment supports the trade setup. ⚙️ Inputs and Settings • Moving Average Settings Length 1 through 4: Adjust the lookback periods for the core trend calculation. MA Type: Dropdown to select the mathematical smoothing method (SMA, EMA, WMA, VWMA). • Advanced Filters & Risk Primary HTF Filter: Determines the baseline higher timeframe to establish the primary trend direction. ADX Chop Filter Threshold: Sets the minimum ADX value required to consider the market "trending" rather than "ranging". Risk/Reward Ratio: A multiplier used to automatically calculate Take Profit 1, 2, and 3 targets based on the dynamically calculated Stop Loss distance. • Institutional Features (Optional) Enable Auto-Anchored VWAP: Anchors a VWAP strictly starting from the chosen Freeze Date. Enable MTF Confluence Matrix: Requires alignment across three separate, user-defined timeframes. Enable Dynamic Position Sizing: Inputs for Account Size ($) and Risk Per Trade (%). The script uses the ATR-based stop loss to output exact contract/share sizing required to maintain strict risk parameters. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The TetraTrend Engine leverages several established quantitative and statistical concepts to derive its signals. Moving averages serve as low-pass filters, dampening high-frequency market noise to reveal the underlying directional component of the time series. By capturing these values statically at a user-defined vector (the Freeze Point), the script transitions from dynamic time-series analysis to fixed architectural support/resistance theory, positing that historical mean values at critical temporal nodes retain psychological and institutional relevance. Furthermore, the integration of the Average Directional Index (ADX) relies on the statistical measurement of trend velocity and momentum dispersion. The ADX component acts as a volatility gatekeeper, mathematically ensuring that the standard deviation of directional movement exceeds a baseline threshold before capital is deployed. Position sizing calculations utilize the Average True Range (ATR)—a measure of absolute price dispersion—to dynamically scale risk exposure inversely to market volatility, ensuring normalized risk parity across varied market environments. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® Indikator
von MarkitTick
Velocity Acceleration Momentum [VAM]Velocity Acceleration Momentum Overview VAM is a multi-layered momentum indicator that measures how fast price is moving (Velocity), whether that speed is increasing or decreasing (Acceleration), and how strong the underlying trend is (ADX). Rather than just telling you the direction of price, VAM tells you the quality and phase of the move you're in. How It's Calculated Velocity measures the percentage rate of change of price over a lookback period (default: 14 bars), then smooths it with a 3-period EMA. It answers: "How fast is price moving relative to where it was?" Acceleration is the change in Velocity over a secondary smoothing window (default: 5 bars), also EMA-smoothed. It answers: "Is momentum speeding up or slowing down?" Signal Line is an EMA of Velocity (default: 9 bars) — similar in concept to the MACD signal line. When Velocity crosses above/below the Signal Line, it can indicate momentum shifts. ADX Histogram uses Pine's built-in DMI/ADX calculation. When DI+ > DI−, bars plot positively (green); when DI− > DI+, bars plot negatively (red). The color opacity is gradient-mapped to ADX strength — vivid bars mean a strong trend, faded bars mean a weak/ranging market. Reading the Velocity Line Colors (Regime Detection) The Velocity line changes color based on the combination of Velocity and Acceleration: ColorConditionMeaning🟢 LimeVelocity > 0, Acceleration > 0Rocket — momentum is up and accelerating🟡 YellowVelocity > 0, Acceleration < 0Topping — still positive but losing steam🔴 RedVelocity < 0, Acceleration < 0Freefall — momentum is down and worsening🟠 OrangeVelocity < 0, Acceleration > 0Bottoming — still negative but recovering How to Trade With It High level Buy when Velocity Line Green 🟢sell when Velocity drops hard and is Red 🔴 + ADX BARS TELL YOU THE TREND AND THE TREND STRENTH (COMBINE THIS AND THE VELOCITY LINE) + ACCELERATION PUROPLE AND YELLOW WAVE TELLS YOU SHARP DROPS OR ADVANCES IN ACCELERATION Trend Entries: Look for the Velocity line turning Lime (🟢) with the ADX histogram printing vivid green bars above the +25 line. This is the highest-confidence long setup — price is accelerating upward with confirmed trend strength. Caution / Exit Signals: When Velocity turns Yellow (🟡) and sharply drops, momentum is fading even if price is still rising. Consider tightening stops or taking partial profits. Short / Bearish Bias🔴 : Red Velocity + vivid red ADX bars below −25 signal a strong downtrend in Freefall. Avoid longs; look for short setups. Potential Reversals: Orange Velocity (Bottoming) combined with ADX bars beginning to fade and shift green can be an early signal that a bottom is forming — useful for scaling into longs cautiously. Signal Line Crosses: When the Velocity line crosses above the white Signal Line, momentum is picking up. Crosses below suggest weakening. Best used as a confirmation filter, not a standalone trigger. The ±25 Reference Lines mark the ADX threshold commonly used to separate trending (above) from ranging (below) markets. ADX histogram bars inside the ±25 zone suggest low trend conviction — reduce position sizing or wait for confirmation. Inputs Source — Price input (default: Close) Velocity Length — Lookback period for rate-of-change calculation (default: 14) Acceleration Smooth — Smoothing window for acceleration (default: 5) Signal Line Length — EMA period for the signal line (default: 9) ADX Length — Period for DMI/ADX calculation (default: 14) Show Signal Line — Toggle the white signal line on/off Show Zone Backgrounds — Toggle ADX-strength background shading Show ADX Histogram — Toggle the ADX directional histogram
Pine Script® Indikator
von MasterTonyTA
SMC Crypto Swing Sniper (MTF Edition)The "SMC Crypto Swing Sniper" is an hybrid trading system. It´s evolved it from a pure price-action script into a data-driven order flow and momentum powerhouse. 1. The Macro Compass (Trend & Momentum) Moving away from guessing candle patterns to using hard data: The 4H Dashboard: Tracks Bitcoin, BTC Dominance, USDT Dominance, and your current ticker on a fixed 4H basis. It combines Trend (EMA crossover), RSI, MACD, and ADX/DMI. This instantly tells you if the market has real momentum (BULL/BEAR when ADX > 25) or is just chopping sideways (WEAK when ADX < 25). Fixed Moving Averages: The 4H EMA 50, 4H WMA 200, and the Monthly VWAP dictate your overall macro bias. They are your ultimate directional filter (e.g., only look for long setups if the price is above these levels). 2. The Battlefield (SMC Zones & S/R) This is the Price Action core that tells you exactly WHERE to look for trades: Static 1H Price Filter: Three horizontal lines (Resistance / Mid / Support) that strictly lock onto the high, low, and average of the last 50 hours, regardless of what timeframe you are currently viewing. This is your local playing field. Clean Order Blocks & FVGs: The script dynamically draws institutional zones with an elegant 80% transparency and no borders. They auto-delete to keep your chart clean only when truly invalidated (price breaking completely through an OB or fully filling a gold FVG). Market Structure: Automated BOS (Break of Structure) and CHoCH (Change of Character) lines pinpoint local trend shifts. 3. The Order Flow Trigger (Sniper Execution) Here, we measure real money exchanging hands to time the entry: Whale Volume: Candles paint white when the volume spikes 200% above the 20-period moving average, highlighting Smart Money stepping in. Rolling CVD (Cumulative Volume Delta): Your strongest weapon. Instead of endlessly adding volume history, it uses a rolling 21-bar period with a sharp sensitivity (Fractal = 2). When price makes a new low, but selling pressure is visibly dying out in the CVD, the script prints a Divergence Arrow. This is your early warning system! Your Trading Workflow Summarized: Check the Dashboard/MAs for direction -> Wait for price to tap an SMC Zone or 1H S/R line -> Pull the trigger when CVD Divergence or Whale Volume confirms the reversal.
Pine Script® Indikator
von socke1986
2
AVANTI MASTER PRO FINAL**AVANTI MASTER PRO FINAL** AVANTI MASTER PRO FINAL is an intraday trading indicator designed to help traders identify potential buy and sell opportunities using a combination of trend, momentum, and strength confirmation tools. The indicator combines multiple technical concepts into a single system to provide a clearer view of market direction and potential breakout movements. **Key Components Used** • EMA Trend Analysis (9 / 30 / 200) • RSI Momentum Confirmation • ADX Trend Strength Filter • Volume Based Smart Money Activity • Long / Short Buildup Detection • Breakout & Breakdown Strength Score • Multi-Timeframe Trend Confirmation (5m & 15m) • Automatic Target Levels (TP1, TP2, TP3) and Stop Loss • Signal Strength Status (STRONG BUY / STRONG SELL / WAIT) • Market Condition Dashboard The script also includes built-in alerts for trading signals. **Alerts** • AVANTI BUY • AVANTI SELL Signals are filtered with trend and strength conditions in order to reduce false signals during low-momentum market conditions. **Recommended Usage** This indicator is primarily designed for intraday trading and works well on: • 5 Minute Charts • 15 Minute Charts Users should combine this tool with proper risk management and their own trading judgment. **Developer** Developed by **AVANTI STOCKS – Satish D. Nakhate**
Pine Script® Indikator
von avantistocks
1
AVANTI MASTER PRO FINALAVANTI MASTER PRO FINAL – Smart Intraday Trend & Breakout System AVANTI MASTER PRO FINAL is an advanced intraday trading indicator designed to identify high-probability buy and sell opportunities using trend analysis, momentum confirmation, and breakout strength evaluation. The indicator combines multiple technical factors such as EMA trend structure, RSI momentum, ADX trend strength, buildup analysis, breakout scoring, and multi-timeframe trend confirmation to help traders avoid sideways markets and focus on strong trending moves. This system also automatically calculates Entry, Stop Loss, and multiple target levels (TP1, TP2, TP3) depending on the instrument being traded. 🔹 Key Features Trend Detection Uses EMA 9, EMA 30, and EMA 200 to identify market direction and trend structure. Multi-Timeframe Trend Filter Signals are confirmed only when 5-minute and 15-minute trends align, improving signal quality. Breakout Strength Score A scoring model evaluates multiple bullish and bearish conditions to determine breakout probability. RSI Momentum Confirmation Momentum validation using RSI levels to avoid weak signals. ADX Trend Strength Filter Signals are generated only when ADX indicates a trending market, helping to avoid sideways conditions. Buildup Analysis Identifies Long Buildup, Short Buildup, Short Covering, and Long Unwinding based on price and volume behavior. Signal Strength Dashboard Displays STRONG BUY, STRONG SELL, or WAIT signals based on combined market conditions. Auto Target System Automatically plots Entry, Stop Loss, and multiple target levels (TP1, TP2, TP3). 📊 Dashboard Information The built-in dashboard provides quick insight into market conditions including: • Trend Status • Market Buildup • RSI Momentum • Breakout / Breakdown Strength • ADX Trend Strength • Trade Zone • Signal Strength ⚙ Supported Instruments Targets are optimized for: • NIFTY • Stock Options • Crude Oil • Natural Gas ⚠ Disclaimer This indicator is created for educational and analytical purposes only. Always manage risk and use proper risk management before taking any trade. 👨‍💻 Developed By Developed by AVANTI STOCKS Satish D. Nakhate
Pine Script® Indikator
von avantistocks
AVANTI MASTER PRO FINALAVANTI MASTER PRO FINAL – Smart Intraday Trend & Breakout System AVANTI MASTER PRO FINAL is an advanced intraday trading indicator designed to identify high-probability buy and sell opportunities using a combination of trend analysis, momentum strength, breakout scoring, and smart money behavior. This indicator integrates multiple technical factors such as EMA trend structure, RSI momentum, breakout strength analysis, buildup detection, ADX trend strength filter, and multi-timeframe confirmation to help traders avoid sideways markets and focus on strong trending moves. The system automatically generates entry signals and calculates risk-reward targets for different instruments. Key Features Trend Detection Uses EMA 9, EMA 30, and EMA 200 to determine the overall market trend. Multi-Timeframe Trend Filter Signals are confirmed only when 5-minute and 15-minute trends align, improving trade accuracy. Breakout Strength Score A scoring system evaluates multiple bullish and bearish conditions to determine breakout probability. RSI Momentum Confirmation RSI is used to validate market momentum before generating signals. ADX Trend Strength Filter Signals are generated only when ADX > 23, helping to avoid sideways markets. Buildup Analysis Detects Long Buildup, Short Buildup, Short Covering, and Long Unwinding based on price and volume behavior. Auto Target System Automatically calculates Entry, TP1, TP2, TP3, and Stop Loss depending on the instrument. Supported Instruments Targets are optimized for: • NIFTY • Stock Options • Crude Oil • Natural Gas Dashboard Information The built-in dashboard displays key market insights such as: • Trend status • RSI momentum • Breakout / Breakdown strength • ADX trend strength • Market buildup • Trade zone indication Best Use This indicator is designed for intraday trading and trend continuation setups where strong momentum and trend confirmation are present. Works best in trending markets. Developed by AVANTI STOCKS – Satish D. Nakhate
Pine Script® Indikator
von avantistocks