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Bollinger Bands Forecast with Signals (Zeiierman)█ Overview Bollinger Bands Forecast with Signals (Zeiierman) extends classic Bollinger Bands into a forward-looking framework. Instead of only showing where volatility has been, it projects where the basis (midline) and band width are likely to drift next, based on recent trend and volatility behavior. The projection is built from the measured slopes of the Bollinger basis, the standard deviation (or ATR, depending on the mode), and a volatility “breathing” component. On top of that, the script includes an optional projected price path that can be blended with a deterministic random walk, plus rejection signals to highlight failed band breaks. █ How It Works ⚪ Bollinger Core The script first computes standard Bollinger Bands using the selected Source, Length, and Multiplier: Basis = SMA(Source, Length) Band width = Multiplier × StDev(Source, Length) Upper/Lower = Basis ± Width This remains the “live” (non-forecast) structure on the chart. ⚪ Trend & Volatility Slope Estimation To project forward, the indicator measures directional drift and volatility drift using linear regression differences: Basis slope from the Bollinger basis StDev slope from the Bollinger deviation ATR slope for ATR-based projection mode These slopes drive the forecast bands forward, reflecting the market’s recent directional and volatility regime. ⚪ Projection Engine (Forecast Bands) At the last bar, the indicator draws projected basis, upper, and lower lines out to Forecast Bars. The projected basis can be: Trend (straight linear projection) Curved (ease-in/out transition toward projected endpoints) Smoothed (extra smoothing on projected basis/width) ⚪ Price Path Projection + Optional Random Walk In addition to projecting the bands, the script can draw a price forecast path made of a small number of zigzag swings. Each swing targets a point offset from the projected basis by a multiple of the projected half-width (“width units”). Decay gradually reduces swing size as the forecast deepens. The Optional Random Walk Blend adds a deterministic drift component to the zigzag path. It’s not true randomness; it’s a stable pseudo-random sequence, so the drawing doesn’t jump around on refresh, while still adding “natural” variation. ⚪ Rejection Signals Signals are based on failed attempts to break a band: Bear Signal (Down): price tries to push above the upper band, then falls back inside, while still closing above the basis. Bull Signal (Up): price tries to push below the lower band, then returns back inside, while still closing below the basis. █ How to Use ⚪ Forward Support/Resistance Corridors Treat the projected upper/lower bands as a future volatility envelope, not a guarantee: The upper projection ≈ is likely a resistance level if the regime persists The lower projection ≈ is likely a support level if the regime persists Best used for trade planning, targets, and “where price could travel” under similar conditions. ⚪ Regime Read: Trend + Volatility The projection shape is informative: Rising basis + expanding width → trend with increasing volatility (needs wider stops / more caution) Flat basis + compressing width → contraction regime (often precedes expansion) ⚪ Signals for Mean-Reversion / Failed Breakouts The rejection markers are useful for fade-style setups: A Down signal near/after upper-band failure can imply rotation back toward the basis. An Up signal near/after lower-band failure can imply snap-back toward the basis. With MA filtering enabled, signals are constrained to align with the broader bias, helping reduce chop-driven noise. █ Related Publications Donchian Predictive Channel (Zeiierman) █ Settings ⚪ Bollinger Band Controls the live Bollinger Bands on the chart. Source – Price used for calculations. Length – Lookback period; higher = smoother, lower = more reactive. Multiplier – Bandwidth; higher = wider bands, lower = tighter bands. ⚪ Forecast Controls the forward projection of the Bollinger Bands. Forecast Bars – How far into the future the bands are projected. Trend Length – Lookback used to estimate trend and volatility slopes. Forecast Band Mode – Defines projection behavior (linear, curved, breathing, ATR-based, or smoothed). ⚪ Price Forecast Controls the projected price path inside the bands. ZigZag Swings – Number of projected oscillations. Amplitude – Distance from basis, measured in bandwidth units. Decay – Shrinks swings further into the forecast. ⚪ Random-Walk Adds controlled randomness to the price path. Enable – Toggle random-walk influence. Blend – Strength of randomness vs. zigzag. Step Size – Size of random steps (band-width units). Decay – Reduces randomness as the forecast deepens. Seed – Changes the (stable) random sequence. ⚪ Signals Controls rejection/mean-reversion signals. Show Signals – Enable/disable signal markers. MA Filter (Type/Length) – Filters signals by trend direction. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
مؤشر Pine Script®
من ‎Zeiierman‎
1
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions Overview ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength. Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions. The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves. Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength. Conceptual Framework ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines. Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes. Three guiding principles define the framework: Volatility must be conditioned on trend strength Extremes occur within zones, not at lines Signals should emerge from completed wave transitions, not instantaneous touches This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation. Theoretical Foundation The indicator fuses directional movement theory with statistical volatility modeling. Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium. From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases. At its core are three interacting systems: ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves. Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions. State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium. This structure ensures that signals reflect completed volatility waves, not transient noise. How It Works ADX Volatility Waves processes price action through layered wave mechanics: Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength. Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions. Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves. Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave. Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals. Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form. Together, these processes create a continuous, adaptive wave map of volatility behavior. Interpretation ADX Volatility Waves reframes market reading around volatility cycles: Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility. Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion. Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals. Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion. Wave progression and completion matter more than single-bar interactions. Signal Logic & Visual Cues ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period. Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger. Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress. All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods. Strategy Integration ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks: Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries. Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion. Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions. Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves. Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior. Technical Implementation Details Core Engine : ADX-normalized volatility expansion Wave System : Smoothed, offset, expanded volatility waves Visualization : Multi-layer gradient wave zones Signal Logic : State-based wave transitions with cooldown enforcement Alerts : Wave entry, wave completion, volatility compression Performance Profile : Lightweight, real-time optimized overlay Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Short-term volatility waves and intraday transitions 15 - 60 min : Structured intraday wave cycles 4H - Daily : Macro volatility regimes and expansion phases Suggested Baseline Configuration: BB Length : 20 BB StdDev : 1.5 ADX Length : 14 ADX Influence : 0.8 Wave Offset : 1.0 Wave Width : 1.0 Neutral Confirmation : 5 bars These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Performance Characteristics High Effectiveness: Markets exhibiting rhythmic volatility expansion and contraction Assets with responsive ADX regime behavior Reduced Effectiveness: Erratic, news-driven price action Illiquid markets with distorted volatility metrics Integration Guidelines Confluence : Combine with BOSWaves structure or trend tools Discipline : Respect wave completion and cooldown logic Risk Framing : Interpret wave depth probabilistically, not predictively Regime Awareness : Always contextualize waves within ADX strength Disclaimer ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
مؤشر Pine Script®
من ‎BOSWaves‎
CT Market Fragility & Systemic Risk Monitor v1.0CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 Systemic Stress & Market Regime Monitor OVERVIEW Wall Street-grade structural monitoring now open-source. CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 is a real-time systemic risk tool designed to detect fragility before it hits price. Built by former institutional traders, it delivers structural insight typically reserved for desks inside hedge funds and global macro desks. This isn’t about finding entries or exits, it’s about understanding the environment you're trading in, and recognizing when it's shifting. WHAT IT DOES • Monitors six key market domains: Equities, Rates/Credit, FX (USD stress), Commodities, Crypto, and Macro • Detects volatility stress, cross-domain coupling, and regime synchronization • Classifies market structure into Normal → Fragile → Critical • Shows a live dashboard with scores, coupling levels, and structural state • Plots event markers (T1, T2, T3) for structural transitions • Implements hysteresis logic to model post-stress 'memory • Supports both single-domain ("Local Mode") and system-wide monitoring HOW IT WORKS This engine does not rely on traditional TA. No moving averages. No MACD. No patterns. No guesswork. Instead, it measures how markets are behaving beneath price detecting when stress is: • Building internally • Spreading across domains • Synchronizing into systemic fragility T1 (🟠) — Early instability: acceleration in market coupling T2 (🔵) — Fragile regime: multiple domains simultaneously stressed T3 (🔴) — Critical regime: synchronized, system-wide stress These are not buy/sell signals. They are structural regime alerts, the same kind used by institutions to cut risk before stress cascades. WHY IT MATTERS Most retail tools are reactive. They interpret surface-level patterns after the move. This tool is different. It’s proactive – measuring pressure before it breaks structure. Institutions have used structural fragility models like this for years. This script helps close that gap, giving everyday traders the same early warnings that pros use to reduce exposure and sidestep systemic blowups. It’s not about finding the edge. It’s about not getting crushed when the system breaks. Whether you trade crypto, stocks, FX, or macro, this engine helps answer: • Is the system stable right now? • Are stress levels rising across markets? • Is it time to tighten risk? Institutions don’t wait for breakouts. They monitor structure. Now, you can too. KEY FEATURES • Works on any asset class and any timeframe • Fully customizable domain selection • Three-tier structural alert system (T1–T3) • Real-time dashboard: stress scores, states, and coupling levels • Hysteresis modeling: post-stress “memory” detection • Supports single-domain (local) or multi-domain (systemic) monitoring • PineScript alerts built-in RECOMMENDED USE Active traders - all asset classes Use the dashboard and T1–T3 alerts to stay aware of structural risk in real time. Track multi-timeframe alignment to detect where risk originates and how it spreads across markets. Crypto trader s Monitor upstream domains (Equities, FX, Rates, Macro) to detect pressure before it reaches crypto. Identify reflexive stress before Bitcoin reacts — and stay ahead of contagion events. Macro & systematic traders Use T1–T3 transitions as volatility filters, exposure governors, or dynamic risk overlays. Build regime-aware models that adapt to shifting systemic conditions. Examples & Visuals Question: Would it have helped to know that at 9:30 on October 9th and again at 10:00 on October 10th that critical states were detected in the structural behavior of Bitcoin? Take a look: 30 min chart BTC shows two distinct T3 (critical) regime detections October 9th and 10:30 October 10th 5m BTC chart reveals high frequency instability for the same period, identifying instability, fragility, criticality The 30minute BTC chart at 16:30 Friday October 10th,, a few hours after first detecting critical systemic risk RISK DISCLAIMER This is a structural analysis tool, not a predictive signal. It does not provide financial advice, trade entries, or forecasts. Use at your own risk. Full disclaimer embedded in the script. Complexity Trading - From Wall St to Main St No patterns. No repainting. No mysticism. Just logic, math, science and market structure - now made accessible to everyone. Developer of LPPL Critical Pulse (LPPLCP), the Temporal Phase Model (TPM) and other other advanced structural and attractor based systems inspired by Sornette’s LPPL framework and other differentiated thinkers. Note on Methodology This tool is not predictive, and not designed for academic publication. It is a real-time structural monitoring system inspired by academically established concepts, including LPPL attractor dynamics, cross-asset coupling, reflexivity, and phase regime transitions, implemented within the real-time constraints of PineScript, and intended for visual, exploratory, and diagnostic use.
مؤشر Pine Script®
من ‎ComplexityTrading‎
12
SMI Trigger System - Lower - NPR21/ChatGPTSMI Trigger System (Lower) — Buy Low / Hrugu (Modified) This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission. The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes. Key Features Smoothed SMI line with dynamic color changes based on momentum direction Raw SMI line for additional reference Zero-line split cloud shading for quick bullish/bearish momentum identification Upper and lower SMI reference levels for overbought/oversold context Exact-bar SMI color-flip triangle markers for immediate visual confirmation Adjustable triangle size and offset so markers do not overlap the SMI line Fully customizable colors for: Zero line Smoothed SMI (up/down) Raw SMI Cloud above and below zero Upper and lower SMI levels How to Use This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias. 1. SMI Line & Color Changes The smoothed SMI line changes color based on momentum direction: Up color → momentum strengthening Down color → momentum weakening A color change often signals a potential momentum shift. 2. SMI Color-Flip Triangles Green ▲ triangle below the SMI Appears when the smoothed SMI turns upward (bearish → bullish momentum). Red ▼ triangle above the SMI Appears when the smoothed SMI turns downward (bullish → bearish momentum). Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line. These markers are intended as visual confirmations, not standalone trade signals. 3. Zero Line & Cloud The zero line separates bullish and bearish momentum regimes. Cloud above zero → bullish momentum bias Cloud below zero → bearish momentum bias Stronger signals often occur when SMI flips in the direction of the cloud. 4. Upper & Lower SMI Levels Upper and lower reference levels help identify extended momentum. Momentum flips near or beyond these levels may indicate: Exhaustion Potential pullbacks Trend continuation setups when aligned with higher-timeframe direction 5. Best Practices Use this indicator as a confirmation tool, not a prediction tool. Combine with: Market structure Support and resistance Trend direction Volume or price action Works well on tick charts, intraday timeframes, and higher-timeframe analysis. Additional Notes Triangles do not repaint All visual elements are user-configurable No ADX or Awesome Oscillator components Designed for clarity, speed, and ease of interpretation This script is intended for analytical and educational purposes only and does not constitute trading advice.
مؤشر Pine Script®
من ‎NPR21‎
SMI Trigger System The SMI Trigger System is a lower-pane momentum indicator based on a Hull-smoothed Stochastic Momentum Index (SMI). It is designed to assist in identifying potential momentum shifts by highlighting signal alignment and level interactions. This indicator is intended to be used as part of a broader analysis framework. Confluence between trend, structure, and higher-timeframe context defines the setup, while SMI signal behavior may be used for confirmation. The script can be applied across multiple timeframes and markets. It does not generate trade signals on its own and should be used alongside additional analysis and risk management techniques. For educational purposes only. Not financial advice.
مؤشر Pine Script®
من ‎NPR21‎
Big Trades Whale Detector [Volume Anomalies] By HKOverview The "Big Trade Detector" helps you spot institutional footprints by identifying volume anomalies that act as outliers compared to recent history. It uses statistical analysis (Standard Deviation) to filter out noise and highlight only significant buying or selling pressure. Features: Volume Decomposition: Approximates buy/sell volume based on price action within the candle (Close vs. Range). 3-Tier Detection: Uses dynamic thresholds to categorize volume spikes into Small, Medium, and Extreme events. Smart Calculation: Compares current volume against the previous average to detect sudden shifts in momentum. Visuals: Green Circles (Below Bar): Unusual Buying Pressure (Support defense or Breakout). Red Circles (Above Bar): Unusual Selling Pressure (Resistance defense or Dump). Size Matters: The larger the circle, the higher the standard deviation (Sigma) of that volume event.
مؤشر Pine Script®
من ‎colacorn‎
Session ATR Progression Tracker📊 Session ATR Progression Tracker - SIYL Regression Trading Tool Track how much of your instrument's 7-day Average True Range (ATR) has been covered during the current trading session. This indicator is specifically designed for regression traders who follow the "Stay In Your Lane" (SIYL) methodology, helping you identify when the probability of mean reversion significantly increases. If you are interested in more on that check out Rod Casselli and tradersdevgroup.com. 🎯 Key Features: • Real-time ATR Coverage Percentage - See at a glance what percentage of the 7-day ATR has been covered in the current session • SIYL-Optimized Thresholds - See at a glance when the instrument has achieved 80% and 100% ATR coverage, the proven thresholds where mean reversion probability increases (customizable) • Flexible Session Modes: - Daily: Resets at calendar day change - Session: Uses exchange-defined trading sessions - Custom Session: Set your exact session start/end times (perfect for futures traders and international markets) • Visual Alerts - Color-coded display (gray → orange → red) and optional background highlighting • Repositionable Display - Choose from 9 screen positions to avoid chart clutter • Session Markers - Green triangles mark the start of each new session • Detailed Stats - View current range, ATR value, session high/low, and session status 💡 Why Use This Indicator? This tool is built around a proven concept: regression trading becomes significantly more effective once a session has achieved at least 80% of its 7-day ATR. At this threshold, the probability of price reverting to mean increases substantially, creating higher-probability trade setups for SIYL practitioners. Benefits for regression traders: - Identify optimal entry points when mean reversion probability is highest (≥80% ATR coverage) - Avoid premature regression entries before adequate range has been established - Recognize when daily moves have "earned their range" and are ripe for reversal - Time fade-the-move and counter-trend strategies with statistical backing - Improve win rates by trading only after proven probability thresholds are met ⚙️ Setup Instructions: 1. Add the indicator to your chart 2. Select your preferred "Reset Mode" (recommend "Custom Session" for futures/international markets) 3. If using Custom Session, enter your session times in 24-hour format (e.g., 0930-1600 for US stocks, 1700-1600 for CME futures) 4. Adjust alert thresholds if desired (default: 80% and 100% - proven SIYL thresholds) 5. Position the display where it's most visible on your chart 📈 Works Across All Markets: Stocks • Futures • Forex • Indices • Crypto • Commodities Perfect for regression traders, mean reversion specialists, and SIYL practitioners who want to trade with probability on their side by entering only after the session has "earned its range." --- Tip: For futures contracts with overnight sessions that span calendar days (like MES, MNQ, MYM), use "Custom Session" mode with your exchange's official session times for accurate tracking.
مؤشر Pine Script®
من ‎jmaybe‎
Manipulation Candle SystemThis indicator is based on One Candle Scalping Strategy by ProRealAlgos ## **Manipulation Candle System – Simple Explanation** This indicator helps traders identify **potential market manipulation** during the **US stock market session (New York)** and highlights **key reversal signals**. --- ### **1. Daily ATR (Average True Range)** * Measures the **average price movement** of the day. * Helps determine if a move is **normal** or **abnormally large**. * The indicator calculates **daily ATR** automatically. * If 15 minute opening candle is more than 25% of Daily ATR, we can call it manipulation is happen . --- ### **2. 15-Minute Opening Candle Box** * Highlights the **first 15-minute candle** of the US session. * The box **extends for 2 hours** after the market opens. * **Color indicates market condition**: * **Red box** → the opening candle range is bigger than 25% of the daily ATR → potential **manipulation**. * **Blue box** → the opening candle range is normal → **neutral session**. * Helps traders visually spot when the market might be trying to **trap traders**. --- ### **3. 5-Minute Reversal Detection** * Looks for **reversal candle patterns** on the 5-minute chart: * Bullish engulfing or strong bullish pin → **buy reversal**. * Bearish engulfing or strong bearish pin → **sell reversal**. * Only checks during the **US session**, after 15 minute opening candle. * Helps traders **time entries** in the direction of potential market reversals. --- ### **4. Buy / Sell Signals** * Shows **triangle markers** on the chart: * **Green triangle below candle** → buy signal. * **Red triangle above candle** → sell signal. * The signal text also indicates: * `"BUY (Trap Reversal)"` → if the reversal occurs during manipulation. * `"BUY (Normal Reversal)"` → if the reversal occurs during a neutral session. * `"SELL (Trap Reversal)"` → if a sell reversal occurs during manipulation. * `"SELL (Normal Reversal)"` → otherwise. --- ### **5. Info Table** * Appears at the **top-right** of the chart. * Shows: 1. Daily ATR value. 2. 15-minute opening candle range. 3. Session condition → `"MANIPULATION"` or `"NEUTRAL"`. 4. Current reversal signal text. --- ### **How a New Trader Can Use It** 1. Look at the **color of the opening box**: * Red → be cautious, price may trap traders. * Blue → normal market behavior. 2. Watch for **reversal signals** on the 5-minute chart. 3. Use the **info table** to confirm ATR, session bias, and signals. 4. Combine this with **risk management** before entering trades.
مؤشر Pine Script®
من ‎tnumar‎
USD Liquidity Regime IndexTrack global risk regimes with this USD Liquidity Composite — It aims to be a daily macro indicator blending normalised DXY (50%), UUP (20%), 10Y Treasury yields (20%), and VIX (10%). How to read: When the blue index is above its red SMA: Strong USD, tightening liquidity → Risk-Off mode (often bearish for Nasdaq, BTC, and risk assets). When the line is below: Weak USD, abundant liquidity → Risk-On (bullish environment). Example: In 2022's bear market, the index stayed high above SMA most of the year, signalling persistent Risk-Off as USD surged. Features on-chart table, regime background colors, and crossover alerts. Great contextual tool for macro traders IMO. Educational only — not financial advice. Use at your own risk. By @frank_vergaram
مؤشر Pine Script®
من ‎frank_vergaram‎
Tailwind.(BTC)Imagine the price of Bitcoin is like a person climbing a staircase. The Steps (Grid): Instead of watching every single price movement, the strategy divides the market into fixed steps. In your configuration, each step measures **3,000 points**. (Examples: 60,000, 63,000, 66,000...). The Signal: We buy only when the price climbs a full step decisively. The "Expensive Price" Filter: If the price jumps the step but lands too far away (the candle closes too high), we do not buy. It is like trying to board a train that has already started moving too fast; the risk is too high. Rigid Exits: The Take Profit (TP) and Stop Loss (SL) are calculated from the edge of the step, not from the specific price where you managed to buy. This preserves the geometric structure of the market. The Code Logic (Step-by-Step) A. The Math of the Grid (`math.floor`) pinescript level_base = math.floor(close / step_size) * step_size This is the most important line. What does it do? It rounds the price down to the nearest multiple of 3,000. Example: If BTC is at 64,500 and the step size is 3,000: 1. Divide: $64,500 / 3,000 = 21.5$ 2. `math.floor` (Floor): Removes the decimals $\rightarrow$ remains $21$. 3. Multiply: $21 * 3,000 = 63,000$. Result: The code knows that the current "floor" is **63,000**, regardless of whether the price is at 63,001 or 65,999. B. The Strict Breakout (`strict_cross`) pinescript strict_cross = (open < level_base) and (close > level_base) Most strategies only check if `close > level`. We do things slightly differently: `open < level_base`: Requires the candle to have "born" *below* the line (e.g., opened at 62,900). `close > level_base`: Requires the candle to have *finished* above the line (e.g., closed at 63,200). Why? This avoids entering on gaps (price jumps where the market opens already very high) and confirms that there was real buying power crossing the line. C. The "Expensive Price" Filter (`max_dist_pct`) pinescript limit_price_entry = level_base + (step_size * (max_dist_pct / 100.0)) price_is_valid = close <= limit_price_entry Here you apply the percentage rule: -If the level is 63,000 and the next is 66,000 (a difference of 3,000). -If `max_dist_pct` is **60%**, the limit is $63,000 + (60\% \text{ of } 3,000) = 64,800$. -If the breakout candle closes at **65,000**, the variable `price_is_valid` will be **false** and it will not enter the trade. This avoids buying at the ceiling. D. TP and SL Calculation (Anchored to the Level) pinescript take_profit = level_base + (step_size * tp_mult) stop_loss = level_base - (step_size * sl_mult) Note that we use `level_base` and not `close`. -If you entered because the price broke 63,000, your SL is calculated starting from 63,000. -If your SL is 1.0x, your stop will be exactly at 60,000. This is crucial: If you bought "expensive" (e.g., at 63,500), your real stop is wider (3,500 points) than if you bought cheap (63,100). Because you filter out expensive entries, you protect your Risk/Reward ratio. E. Visual Management (`var line`) The code uses `var` variables to remember the TP and SL lines and the `line.set_x2` function to stretch them to the right while the operation remains open, providing that visual reference on the chart until the trade ends. Workflow Summary Strategy Parameters: Total Capital: $20,000 We will use 10% of total capital per trade. Commissions: 0.1% per trade. TP: 1.4 SL: 1 Step Size (Grid): 3,000 We use the 200 EMA as a trend filter. Feel free to experiment with the parameters to your liking. Cheers.
استراتيجية Pine Script®
من ‎OldWave96‎
ORB Pressure (Futures) Your TradingView script is an ORB “pressure + confirmation” indicator built for futures that anchors the Opening Range to the NY cash open and then manages the day in three phases. First, it constructs the Opening Range high/low starting at 09:30 NY for a user-selectable duration (3/5/15/30/60 minutes) and draws those levels forward on the chart. Second, once the range is set, it computes a real-time break likelihood score (0–100) plus a directional lean (UP/DOWN/NEUTRAL) using a blend of factors traders care about: proximity to the OR edges, ATR-based compression, repeated “touches” near ORH/ORL, EMA stacking and VWAP positioning/slope, and relative volume vs a baseline. Third, it enforces a clean signal structure: it triggers a one-shot event only when a candle closes outside ORH/ORL, logs the break details (direction, price, ticks beyond the range, and time), and prevents repeat firing; however, if price closes back inside the range within a configurable number of candles, the script treats it as a failed break and resets so it can re-arm. A compact dashboard displays the live state (building/set/armed), score, lean, and it preserves the break statistics after a trigger so you can review the day’s breakout behavior at a glance.
مؤشر Pine Script®
من ‎scottwgarrett‎
Vector Trinity I: Structure [VWAP-DBB] This indicator is **Part 1** of the "Vector Trinity" trading system—a comprehensive, data-driven framework designed to analyze market behavior through three distinct physical dimensions: * **I: Structure (Space):** Defines the battlefield and volatility boundaries (Current Indicator). * **II: Impulse (Time):** Identifies momentum ignition and energy release. * **III: Flow (Energy):** Validates the move via volume and capital flow. **2. Core Logic: Why Rolling VWAP?** Most standard Bollinger Bands use a Simple Moving Average (SMA) as the centerline. The flaw in SMA is that it treats every candle equally, regardless of trading activity. **Vector Trinity I** replaces the SMA with a **Rolling VWAP (Volume-Weighted Average Price)** over a rolling window (default 20). * **Data Logic:** Price combined with Volume represents the true "cost basis" of the market. * **Behavior:** The centerline becomes "sticky" during high-volume nodes and moves faster when real capital enters. It represents the *True Mean* of the market structure. **3. The Dual-Band "Highway" Structure** Instead of a single channel, this system utilizes a Double Bollinger Band (DBB) architecture based on Standard Deviations (StdDev) from the VWAP: * **The Noise Zone (Basis to 1.0 StdDev):** The empty space in the middle. Price action here is often choppy and directionless. * **The Acceleration Zone (1.0 to 2.0 StdDev):** The filled "Cloud." When candles close and stay within this zone, it indicates a strong trend (The Highway). * **The Reversion Zone (> 2.0 StdDev):** Price is statistically extended and may revert to the mean. **4. Volatility Squeeze Detection** The indicator integrates a mechanical "Squeeze" detection based on the relationship between the Bollinger Bands (Variance) and Keltner Channels (ATR). * **Squeeze ON (Orange Cloud & Dots):** Daily variance is at extreme lows. Energy is compressing. Do not trade direction; prepare for a breakout. * **Squeeze OFF (Grey Cloud):** Expansion phase. Volatility is returning to the market. **5. How to Use** * **Step 1:** Observe the **Purple Line (VWAP)**. Its slope dictates the dominant trend structure. * **Step 2:** Look for **Orange Zones**. This indicates a "Squeeze." Wait for the cloud to turn Grey. * **Step 3:** Trade the breakout when price closes inside the "Acceleration Zone" (between the inner and outer bands) accompanied by Volume. **Settings:** * **Rolling Length:** 20 (Standard for swing/day trading). * **Inner/Outer Bands:** 1.0 / 2.0 (The standard trend definition). * **Squeeze Sensitivity:** 1.5 (Standard KC Multiplier). --- ### **中文说明** **1. 简介：矢量三位一体系统 (Vector Trinity)** 本指标是“矢量三位一体”交易系统的 **第一部分**。这是一套基于数据逻辑的综合分析框架，旨在通过三个物理维度解构市场行为： * **I: Structure 结构 (空间)：** 定义价格运行的战场边界与波动率结构（本指标）。 * **II: Impulse 脉冲 (时间)：** 识别动能的点火与能量释放。 * **III: Flow 流向 (能量)：** 通过成交量与资金流验证突破的真伪。 **2. 核心逻辑：为什么要用 Rolling VWAP？** 传统的布林带使用简单移动平均线 (SMA) 作为中轨。SMA 的缺陷在于它平等地对待每一根 K 线，而忽略了成交量的权重。 **Vector Trinity I** 使用 **Rolling VWAP (滚动成交量加权平均价)** 替代了 SMA。 * **数据逻辑：** 只有结合了成交量的价格，才代表市场真实的“平均持仓成本”。 * **表现特征：** 在放量交易区，中轨会表现出更强的支撑/阻力特性；在缩量区则表现平滑。它代表了市场结构的*真实均值*。 **3. 双通道“高速公路”结构** 本系统不使用单条轨道，而是基于 VWAP 的标准差 (StdDev) 构建了双重布林带 (DBB) 架构： * **噪音区 (中轨 到 1.0 标准差)：** 中间的空白区域。在此区域内的价格通常是无方向的震荡。 * **加速区 (1.0 到 2.0 标准差)：** 填充颜色的“云带”。当 K 线收盘并运行于此区域时，代表趋势确立，价格进入了“高速公路”。 * **回归区 (> 2.0 标准差)：** 价格在统计学上过热，可能面临均值回归。 **4. 波动率挤压监测 (Squeeze)** 指标内置了基于布林带（方差）与肯特纳通道（ATR）对比的机械化“挤压”监测。 * **挤压状态 (橙色云带 & 底部圆点)：** 每日方差处于极低值 (Variance at extreme lows)。市场正在积蓄能量。此时不应猜测方向，而应等待爆发。 * **扩张状态 (灰色云带)：** 挤压结束，波动率回归，趋势展开。 **5. 使用方法** * **第一步：** 观察 **紫色中轨 (VWAP)**。它的倾斜方向决定了主要的结构趋势。 * **第二步：** 寻找 **橙色区域**。这代表“挤压”正在发生。耐心等待云带变回灰色。 * **第三步：** 当价格突破并收盘在“加速区”（内轨与外轨之间）时，配合成交量介入交易。 **参数设置：** * **Rolling Length (周期)：** 20 (波段/日内交易的标准设置)。 * **Inner/Outer Bands (内外轨)：** 1.0 / 2.0 (经典的趋势定义范围)。 * **Squeeze Sensitivity (敏感度)：** 1.5 (标准肯特纳通道倍数)。
مؤشر Pine Script®
من ‎AAAAAA2020‎
DMI Direction TableCompact table for Directional Movement Index (DMI) built to stay readable and configurable. What it shows DI+ and DI– from a fixed timeframe via request.security (default 4H), independent of the chart timeframe. Trend text: Bullish/Bearish/Sideways with strength bucket (Mild/Normal/Strong/Very Strong) derived from the absolute gap |DI+ − DI–|, not ADX. Values printed with two decimals, no percent sign. Key controls Fixed Timeframe (for DMI): choose any resolution; the label auto-displays as 1m/5m/1H/4H/1D/1W/1M. Gap thresholds: Sideways, Mild, Normal, Strong, Very Strong. Table Position: top/middle/bottom × left/center/right. Font Size: tiny/small/normal/large/huge. Styling Full manual palette for headers and value cells. Separate background and text colors for Bullish, Bearish, and Sideways trend states. Independent colors for DI+ and DI– cells. Deliberate omissions No RSI. No ADX; strength comes solely from the DI gap. Purpose Quick, at-a-glance DMI state that remains consistent across timeframes while letting you tune thresholds and visuals to your chart.
مؤشر Pine Script®
من ‎acgcapital‎
GARCH Adaptive Volatility & Momentum Predictor 💡 I. Indicator Concept: GARCH Adaptive Volatility & Momentum Predictor ----------------------------------------------------------------------------- The GARCH Adaptive Momentum Speed indicator provides a powerful, forward-looking view on market risk and momentum. Unlike standard moving averages or static volatility indicators (like ATR), GARCH forecasts the Conditional Volatility (σ_t) for the next bar, based on the principle of volatility clustering. The indicator consists of two essential components: 1. GARCH Volatility (Level): The primary forecast of the expected magnitude of price movement (risk). 2. Vol. Speed (Momentum): The first derivative of the GARCH forecast, showing whether market risk is accelerating or decelerating. This component is the main visual signal, displayed as a dynamic histogram. ⚙️ II. Key Features and Adaptive Logic ----------------------------------------------------------------------------- * Dynamic Coefficient Adaptation: The indicator automatically adjusts the GARCH coefficients (α and β) based on the chart's timeframe (TF): - Intraday TFs (M1-H4): Uses higher α and lower β for quicker reaction to recent shocks. - Daily/Weekly TFs (D, W): Uses lower α and higher β for a smoother, more persistent long-term forecast. * Momentum Visualization: The Vol. Speed component is plotted as a dynamic histogram (fill) that automatically changes color based on the direction of acceleration (Green for up, Red for down). 📊 III. Interpretation Guide ----------------------------------------------------------------------------- - GARCH Volatility (Blue Line): The predicted level of market risk. Use this to gauge overall position sizing and stop loss width. - Vol. Speed (Green Histogram): Momentum is ACCELERATING (Risk is increasing rapidly). A strong signal that momentum is building, often preceding a breakout. - Vol. Speed (Red Histogram): Momentum is DECELERATING (Risk is contracting). Indicates momentum is fading, often associated with market consolidation. 🎯 IV. Trading Application ----------------------------------------------------------------------------- - Breakout Timing: Look for a strong, high GREEN histogram bar. This suggests the volatility pressure is increasing rapidly, and a breakout may be imminent. - Consolidation: Small, shrinking RED histogram bars signal that market energy is draining, ideal for tight consolidation patterns.
مؤشر Pine Script®
من ‎s_d_t‎
Session Volume Profile Sniffer: HVN & Rejection ZonesA simple tool built for traders who rely on intraday volume structure. What this script does This script tracks volume distribution inside a selected session and highlights two key price levels: High Volume Nodes (HVNs) — areas where price spent time building heavy participation. Low Volume Nodes (LVNs) — thin zones where price moved quickly with very little interest. Instead of plotting a full profile, this tool gives you the exact rejection-level lines you usually hunt manually. Why these levels matter HVN → price tends to react, stall, or flip direction LVN → price often rejects strongly since liquidity is thin Rejection patterns around these areas give clean entry signals Positioning trades around HVN/LVN helps filter noise in choppy sessions This script removes the trouble of drawing profiles, counting bins, or guessing node levels. Everything is calculated inside the session you choose. How the detection works Inside your session window, the script: 1. Tracks each tick-based price bucket 2. Accumulates raw volume for every bucket Identifies: HVNs = buckets with volume above a tier LVNs = buckets with volume below a tier 3. Prints each level as a single clean line 4. Generates: Long signal → bounce from LVN Short signal → rejection from HVN Built-in exits use ATR-based conditions for quick testing. Features Session-based volume mapping HVN + LVN levels drawn automatically Entry triggers based on rejection ATR exits for experimental backtests Clean, minimal visual output Best use cases Intraday futures Index scalping FX sessions (London / NY) Crypto sessions (user-timed) Anyone who trades around volume structure Adjustable settings Session window Volume bin size HVN multiplier LVN multiplier Enable/disable zone lines This keeps it flexible enough for both scalpers and slow-paced intraday setups. Important note This script is built for study + idea testing. It is not intended as a final system. Once you identify how price behaves around these nodes, you can blend this tool into your own setup.
استراتيجية Pine Script®
من ‎AIScripts‎
Renko Average Bricks This indicator calculates the average RENKO brick streaks. Streaks=consecutive bricks of the same color. EX. G= 1 streak of 1. GGG = 1 streak of 3. RR 1 streak of 2. Single bricks count. There is the option for look back period which can be changed but Defaults to 50. Calculates the last 50 completed green streaks and then averages them. Same with red streaks. Only closed bricks count. Very Simple and can be used for targets, ect. Cheers
مؤشر Pine Script®
من ‎mikey007‎
Session HeatmapIntraday Seasonality Overview Analyzes historical patterns by time of day. Identifies when volatility, volume, and open interest changes tend to be highest or lowest. Features Multiple Metrics: TR (volatility), Volume, and Open Interest changes Flexible Grouping: View patterns by weekday or month to spot day-of-week or seasonal effects Heatmap Visualization: Blue (low) to Red (high) color scale for quick pattern recognition Percentile Mode: Reduces outlier impact by using 5th-95th percentile range Timezone Support: Display in UTC alongside your local time Metrics Explained TR: Volatility - when markets move most Volume: Liquidity - when participation is highest OI Increase: When new positions are opened OI Decrease: When positions are closed OI Net: Net open interest change Usage Set your timezone and preferred slot size (30min/1H) Choose a date range (relative or custom) Select a metric to analyze Use "Group By" to see weekday or monthly patterns Switch to Percentile color scale if outliers dominate Notes Chart timeframe should be equal to or smaller than Slot Size OI metrics require Binance Perpetual symbols DST is not automatically adjusted; consider seasonal shifts for US/EU sessions
مؤشر Pine Script®
من ‎ketan_kee‎
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis. It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade. How it Works The strategy relies on the "Golden Trio" of confluence: 1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as: Price is above the Session VWAP. The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends). 2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session). Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish. Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish. 3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts. Key Features The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H). Trend: Checks if Price > EMA 21. VWAP: Checks if Price > VWAP. ORB: Checks if Price is currently above/below the Opening Range of that session. D H/L: Warns if price is near the Daily High or Low. PD H/L: Warns if price is near the Previous Daily High or Low. Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move). Chart: Draws Green/Red zones extending to the right, showing where price may react. Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning. Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs. Visual Guide (Chart Legend) ⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box. 🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum. 🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum. 🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks. 🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here. 🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here. ⚪ Dots (Trailing Stop): 🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss. 🔴 Red Dots: These appear above price during a Bearish trend. 🏷️ Buy / Sell Labels: BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish. SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish. Settings Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise. Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor. Order Blocks: Adjust the sensitivity and lookback period for Order Block detection. Risk: Customize the ATR multiplier for the trailing stop. Disclaimer This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
مؤشر Pine Script®
من ‎EliasVictor‎
TRV & nTRV - Trimmed Range VolatilityGrid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup.Grid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup. Why We Developed TRV? When a gap or sudden spike occurs in the morning, this extreme movement affects standard ATR calculations for an extended period. Even if the price moves sideways for the rest of the day, ATR remains elevated. This causes grid bots to operate with unnecessarily wide spacing and execute fewer trades. TRV Advantages: ✅ Unaffected by Gaps: Opening gaps don't distort the calculation ✅ Extreme Point Elimination: Filters the largest and smallest outlier candles ✅ Real-Time Accuracy: Shows current market volatility ✅ Grid Bot Optimization: Enables tighter and more efficient grid spacing ✅ Comparison Capability: Compare different stocks and timeframes with nTRV Grid Bot Usage: The TRV value is used directly to calculate the number of grid lines: (Resistance - Support) / TRV = Number of Grid Lines Example: Resistance: $110 Support: $90 TRV: $2 Grid Count: (110-90)/2 = 10 grid lines Features: Two Filtering Modes: Manual (enter number) or Percentage-Based (automatic ratio) Four Indicators in One: nTRV, TRV, ATR, and nATR all displayed on the same panel nTRV: Normalized value (percentage-based, for stock comparison) TRV: Absolute value (currency-based, for grid calculation) ATR & nATR Included: Standard ATR and nATR for direct comparison with TRV Comprehensive Analysis: Compare filtered (TRV) vs unfiltered (ATR) volatility side-by-side Default: 10% top, 10% bottom outlier elimination Conclusion: TRV is an advanced version of ATR specifically designed for grid bot traders. By filtering outlier movements, it provides more stable and reliable volatility measurement. The indicator includes both TRV (filtered) and ATR (unfiltered) on the same chart, giving traders a comprehensive view to make informed decisions. This dual-display approach enables more efficient grid strategies and increased trading frequency.
مؤشر Pine Script®
من ‎ExperiMentalist‎
Jin#10 HMA/OBV Pro Trader System (15m)HMA/OBV Pro Trader System Overview (15m Timeframe) This system is designed to identify high-probability entry and exit points on the 15-minute chart by integrating multiple indicators for confirmation. 1. Trend and Confirmation HMA Lines (Solid Lines): These are two Hull Moving Averages (HMA 8 and HMA 15). Green/Red HMA 8 (Line 1): The faster HMA, showing short-term momentum. Blue/Red HMA 15 (Line 3): The slower HMA, indicating the medium-term trend direction. Trend Alignment: A strong trend requires the fast HMA (8) to be above the slow HMA (15) and both to be sloping favorably. MTF Background Color (Candle Background): This represents the 30-minute trend filter. Light Green/Teal: The 30-minute trend is upward and strong. Light Orange/Red: The 30-minute trend is downward and strong. This acts as a major confirmation filter for entries. 2. Trading Signals (Shapes) 🚀 BUY / 🔻 SELL: These are the Final Confirmation Signals. They appear when all conditions (HMA alignment, Stochastic, MACD, and the 30m MTF filter) are met. ⚠️ Pre-BUY / Pre-SELL: These are Warning/Early Signals indicating that most conditions on the 15m chart are aligned, but the 30m filter has not yet confirmed the trend direction. 🔥 Volatility Spike / 🧊 Volatility Crash (Small Circle): Alerts the user to an unusually large candle (ATR spike), signaling extreme volatility or a potential reversal. 3. Exit and Risk Management ATR Trailing Stop (Dashed Line): This dynamic line serves as a Soft Exit or Stop-Loss Guide. ❌ Exit Long / Exit Short (X-Cross): This shape appears when the price crosses the ATR Trailing Stop, suggesting the existing position (Long or Short) should be closed immediately. Dashed TP/SL Lines (Green/Red): These lines mark a calculated Take Profit (TP) and Stop Loss (SL) based on the entry price and the defined Risk-Reward Ratio (e.g., 1:1.5).
مؤشر Pine Script®
من ‎dwell1999‎