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Trendanalyisis

Bitcoin Statistical Forecaster + Power Law [Gabremoku]Bitcoin Statistical Forecaster + Power Law combines two analytical layers into a single BTC-focused overlay. The first layer is a statistical analog forecaster. It scans historical Bitcoin data and searches for the closest matches to the most recent pattern using a weighted multi-feature distance model based on candle structure, volatility, momentum, trend distance, and structural position relative to the Bitcoin power-law range. The second layer is a long-term Bitcoin power-law framework built from three structural curves: Floor, Mid-Stair, and Fair Value. These curves are plotted directly from the power-law formula and are not altered by the forecasting engine. The script is not a simple mashup of two unrelated tools. The power-law layer is used as structural context inside the forecaster itself: it contributes to analog selection, regime comparison, optional forecast anchoring, and optional probability adjustment. The goal is to make historical pattern matching more aware of where price is located inside Bitcoin’s broader long-term structure. How the forecast works: The script compares the latest pattern against historical BTC windows. It keeps the best analogs according to the selected similarity method. These analogs are separated into Bull, Central, and Bear groups using the final return at the selected forecast horizon. For each step in the projection, each scenario path is built from the weighted average of its own analog group, so the paths remain internally coherent instead of mixing bullish and bearish trajectories. An optional structural bias can softly pull projected prices toward the power-law range over time. This effect fades in progressively across the forecast horizon, so near-term projections are not abruptly distorted. Scenario probabilities are derived from the same percentile thresholds used to build the Bull, Central, and Bear paths. This keeps the displayed percentages aligned with the projected paths shown on the chart. The script is designed for daily Bitcoin charts and works best when enough historical data is available. It is a probabilistic context tool, not a prediction guarantee, and it should be used together with risk management and independent market analysis. Suggested usage: Use the power-law curves to identify long-term structural position. Use the forecast paths to estimate how similar historical BTC conditions evolved. Compare current price location, structural regime, and scenario probabilities before forming a directional bias. Treat the output as a contextual model, not as a standalone trading signal.
Pine Script® インジケーター
Gabremokuの投稿
Gabremoku CloudsGabremoku Clouds is a volume-driven equilibrium cloud built to highlight fair-value zones, directional acceptance, and compression/expansion phases in a cleaner and more forward-looking way than traditional cloud indicators. Instead of using classic Ichimoku spans or standard deviation bands, this script builds its structure around a custom volume-weighted equilibrium line and a surrounding cloud whose width is based on Volume-Weighted Average Spread (VWAS). The result is a cloud that reacts not only to price movement, but also to how price is distributed under volume, making it useful for reading consensus, imbalance, and market acceptance. A key idea behind this indicator is that not all price movement has the same meaning. When volume concentrates inside a tighter range, the cloud compresses and signals balance or consensus. When price expands with broader spread and weaker concentration, the cloud widens and reflects uncertainty or directional transition. This gives the indicator a different purpose from standard volatility envelopes: it is designed less as a generic overbought/oversold tool and more as a market structure and equilibrium map. The script also includes a 26-period forward projection of the equilibrium cloud. This projected area is calculated from current and historical information only, then shifted forward visually to provide a future reference zone without using lookahead logic. Its purpose is not to predict price in an absolute sense, but to suggest where balance may migrate next if the current slope and cloud conditions remain consistent. What it helps identify Trend acceptance when price holds above or below the cloud with supporting volume. Fair-value reclaims when price rotates back into equilibrium after displacement. Squeeze-to-expansion transitions when the cloud compresses and then releases into directional movement. Exhaustion when price reaches a fresh extreme while volume momentum decelerates. How to use it Use the current cloud to judge whether price is trading in balance, in directional acceptance, or in transition. Use the projected cloud as a forward reference area for continuation, reversion, or future balance. Treat the signals as contextual tools, not standalone trade instructions. They work best when combined with price structure, market context, and risk management. What is new Gabremoku Clouds is not a mashup of existing tools. Its core logic is built around a custom equilibrium model that combines volume-weighted price location with volume-weighted spread behavior, then extends that structure into a forward cloud projection. The goal is to give traders a more informative cloud: one that reflects where value is forming now, how stable that value is, and where it may shift next.
Pine Script® インジケーター
Gabremokuの投稿
ZigZag Pro [ZynAlgo]Overview ZynAlgo ZigZag Pro is a structural market analysis indicator designed to help traders visualize market swings, directional transitions, and structural formations through a dynamic ZigZag-based engine. Unlike traditional ZigZag indicators that only connect highs and lows mechanically, ZynAlgo ZigZag Pro focuses on: Market structure recognition Swing transition analysis Real-time wave adaptation Structural labeling using HH, HL, LH, and LL Trend environment visualization The system is designed to simplify chart reading while maintaining a clear view of directional flow and structural momentum. Chart example: Core Purpose The indicator is built to help traders: Detect trend continuation structures Identify possible reversal transitions Visualize bullish and bearish wave cycles Understand higher highs and lower lows clearly Reduce chart noise through structural filtering Support discretionary market analysis ZynAlgo ZigZag Pro is not intended to function as an automatic entry system. It acts as a market structure framework that supports broader trading analysis. Structural Logic The indicator continuously scans price movement and attempts to identify meaningful swing transitions based on: Price deviation Structural depth Swing confirmation Historical anchor comparison The system then classifies new swing points into four major structural categories: Structure example: HH - Higher High A Higher High occurs when price creates a new swing high above the previous structural high. This generally reflects: Bullish continuation Strong upward pressure Expanding bullish momentum HL - Higher Low A Higher Low occurs when price creates a higher swing low relative to the previous structural low. This often reflects: Bullish retracement Trend maintenance Buyer support holding structure LH - Lower High A Lower High occurs when price forms a lower swing high beneath the previous structural high. This may indicate: Weakening bullish momentum Bearish pressure entering the market Potential transition into bearish structure LL - Lower Low A Lower Low occurs when price creates a new swing low beneath the previous structural low. This generally reflects: Bearish continuation Strong downward pressure Expanding bearish momentum System Components The indicator is divided into multiple configurable sections so traders can customize the behavior and appearance of the structural engine. 1. Core Algorithm Engine This section controls how the ZigZag engine interprets market structure. Scanning Depth
Pine Script® インジケーター
ZynAlgoの投稿
1
CVD X-Ray CVD X-Ray See the Participation Behind the Move Most indicators tell you what price is doing. CVD X-Ray is designed to reveal who is participating behind the move. Price can rally on weak participation. Price can decline despite aggressive buying. Price can appear strong while participation quietly deteriorates beneath the surface. CVD X-Ray was built to expose these hidden shifts in market participation by combining cumulative volume delta pressure, momentum acceleration, participation normalization, and multi-timeframe alignment into a single visual framework. Rather than focusing solely on market structure, CVD X-Ray focuses on participation pressure—the intensity and direction of buying and selling activity driving the current move. What Makes CVD X-Ray Different? Traditional volume indicators often struggle with context. A large reading may appear important on one chart while being completely normal on another. CVD X-Ray solves this by normalizing participation pressure and classifying it into intuitive strength categories: Weak Building Moderate Strong Extreme This allows traders to quickly distinguish between routine activity and meaningful participation events. Pressure vs Trend One of the most common mistakes traders make is confusing participation with trend. A market can be trending lower while buyers suddenly begin participating aggressively. Likewise, a market can be trending higher while participation quietly weakens beneath the surface. CVD X-Ray intentionally measures participation pressure rather than market structure trend. This distinction can help identify potential continuation opportunities, weakening moves, failed breakouts, and early signs of accumulation or distribution. Strength and Rarity Each reading is evaluated based on both participation strength and historical context. The optional percentile ranking (PCT) provides additional insight into how unusual the current participation reading is relative to recent market behavior. For example: P80 = Stronger than 80% of recent readings P95 = Stronger than 95% of recent readings This helps traders quickly recognize when participation is becoming statistically significant. Designed for Clarity CVD X-Ray was built around a simple goal: Reduce information overload while increasing informational value. The interface uses a consistent strength scale, visual participation hierarchy, and clean multi-timeframe dashboard to deliver actionable context without cluttering the chart. Whether you're analyzing breakouts, pullbacks, reversals, or trend continuation setups, CVD X-Ray provides a structured view of the participation driving price. Because understanding what price is doing is useful. Understanding who is participating behind the move is often more valuable. Disclaimer CVD X-Ray is an analytical tool designed to assist in evaluating market participation and participation pressure. It does not predict future price movements and should not be used as a standalone basis for trading decisions. All trading involves risk, including the potential loss of capital. Past performance, historical participation readings, and indicator signals are not guarantees of future results. This script is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. Users are solely responsible for their own risk management and trading decisions.
Pine Script® インジケーター
Legacy_Moneyの投稿
XAU Smart Money Bot V10.2 [SMC + EMA Confluence]XAU Smart Money Bot V10.2 XAU Smart Money Bot V10.1 is a Smart Money Concepts (SMC) based trading indicator designed specifically for Gold (XAUUSD). The indicator combines multiple market structure and momentum concepts into a single confluence-based system to identify high-probability BUY and SELL opportunities. Core Components The script combines: • 9 EMA / 21 EMA trend analysis • Higher Timeframe Bias filtering • Fair Value Gaps (FVG) • Order Blocks (OB) • Liquidity Sweeps • Market Structure Shifts (BOS / CHoCH) • Premium and Discount Zones • Displacement Candles • Volume Confirmation using OBV • ATR Volatility Filter The purpose of combining these concepts is to filter out weak setups and only generate signals when trend, liquidity, momentum and market structure align in the same direction. Signals are generated only when several conditions align simultaneously, reducing low-quality entries and helping traders focus on stronger setups. Signal Logic The indicator evaluates multiple bullish and bearish factors and creates a score-based confirmation model. A signal is generated when: Trend direction agrees with higher timeframe bias Market structure supports the trade direction Momentum and displacement are present Liquidity conditions are favorable Volatility requirements are met Entry System Instead of using market execution, the indicator calculates a Smart Money style entry zone based on recent price action. For every signal the script automatically plots: • Entry Level • Stop Loss Level • Take Profit Level The entry is designed to provide better risk-to-reward opportunities compared to chasing price after a signal appears. Visual Features The indicator displays: BUY / SELL labels Entry levels Stop Loss levels Take Profit levels EMA trend structure This allows traders to quickly evaluate potential setups directly on the chart. Recommended Markets Designed primarily for: XAUUSD (Gold) Recommended Timeframes 15 Minute 30 Minute 1 Hour Risk Disclaimer This indicator is intended for educational and analytical purposes only. No indicator can predict market movements with certainty. Always use proper risk management and perform your own analysis before entering any trade.
Pine Script® インジケーター
vankos1416の投稿
[Dark Data] Trend ConvictionObjective Quantifies directional efficiency by means of penalizing adverse price extension. Theory Price movement with little opposition indicates a trend with conviction. High directional efficiency and low adverse pressure typically result in continued directional bias across lower timeframes. How To Use Trend Conviction is best used for directional bias on timeframes higher than your execution timeframe. The output ranges from 1 to -1, where 1 is a perfect uptrend and -1 is a perfect downtrend. Increasing Penalty Power filters out trends with significant opposing price activity. Nuanced Info/Warnings Different assets naturally tolerate varying degrees of counter-trend extension within a healthy trend, so a higher Penalty Power is not always better.
Pine Script® インジケーター
DarkData_Officialの投稿
Multi MA Framework [Gabremoku]Multi MA Framework is a flexible multi-moving-average overlay built for traders who want a clean and fully customizable MA workspace directly on the chart. The indicator lets you plot up to four independent moving averages, each with its own: visibility toggle length MA type color This makes it useful for traders who want to combine fast and slow averages, compare SMA vs EMA behavior, or build a personalized trend framework without loading multiple separate indicators. What it shows 📈 Up to 4 Moving Averages — each line can be configured independently and displayed only when needed. ⚙️ SMA or EMA per line — choose the moving average type separately for each MA. SMA gives equal weight to all values in the period, while EMA gives more weight to recent prices and typically reacts faster to change. 🏷️ End Labels — optional right-side labels show each MA name, type, and length. ☁️ Cloud Fills — optional fills between: MA 1 / MA 2 MA 3 / MA 4 These clouds help visualize alignment and separation between faster and slower averages. Core idea This script is designed as a moving average framework, not a rigid strategy. Moving averages are commonly used to: identify trend direction smooth noisy price action monitor dynamic support and resistance compare short-term and long-term market structure By allowing different lengths and SMA/EMA choices on every line, the script makes it easy to create your own structure, for example: fast trend stack swing trend map long-term bias model crossover-based workflow How to use A practical way to use the framework is to combine shorter and longer averages. For example: a shorter MA can track immediate momentum a medium MA can define swing direction a longer MA can define higher-level trend bias When multiple moving averages align in the same direction, traders often interpret that as stronger trend structure. Crossovers between faster and slower averages are also widely used to monitor possible trend shifts, although they are lagging by nature. Example setups Here are some common ways this framework can be configured: Trend stack: 10 EMA / 20 EMA / 50 EMA / 200 SMA Swing trader view: 20 EMA / 50 SMA / 100 SMA / 200 SMA Minimal structure: show only 2 lines and enable one cloud Cross comparison: use SMA on one line and EMA on another with the same or similar length to compare responsiveness Because EMA reacts faster and SMA is smoother, combining both can help balance responsiveness and stability. Features ✅ Up to 4 fully independent moving averages ✅ SMA or EMA selection for each line ✅ Custom length for each MA ✅ Custom color for each MA ✅ Visibility toggle for every line ✅ Adjustable line width ✅ Optional right-side end labels ✅ Optional MA1/MA2 cloud fill ✅ Optional MA3/MA4 cloud fill ✅ Clean chart overlay design Notes This indicator is best used as a custom trend structure tool rather than a standalone signal engine. Moving averages are inherently lagging indicators, so they are most effective when used to define context and trend bias rather than predict reversals on their own. Author: Gabremoku Pine Script v6
Pine Script® インジケーター
Gabremokuの投稿
Aquila Reale Macro Dashboard PRO v1.7🦅 AQUILA REALE — MACRO DASHBOARD PRO "Born to fly, born to dare" A complete macro overview in a single table, with automatic interpretation of each asset's impact on Gold price and a final ACTIONABLE trade signal that resolves conflicts intelligently between macro tailwinds and price-action reality. ═══════════════════════════════════════════ 📊 WHAT IT SHOWS ═══════════════════════════════════════════ For each of 12 macro assets, the dashboard displays: - Current value (live intraday) - Daily change % - Auto-interpreted status (e.g. "VERY STRONG", "HIGH FEAR", "STAGFLATIONARY") - 🥇 Gold impact (green = pro-Gold, red = anti-Gold, gray = neutral) ═══════════════════════════════════════════ 📋 ASSETS COVERED (12 + 2 derived) ═══════════════════════════════════════════ US MACRO: - DXY (Dollar Index) - US10Y / US20Y / US30Y (Treasury yields) - USIRYY (CPI Inflation YoY) - S5TH (S&P 500 stocks above 200dma — market breadth) ASIA: - USDJPY (Yen strength) - NI225 (Nikkei 225) - HSI (Hang Seng Index) SENTIMENT: - VIX (CBOE Volatility Index — fear gauge) GLOBAL: - URTH (iShares MSCI World ETF) GEOPOLITICAL: - USDCNH (Offshore Chinese Yuan) COMMODITIES: - XAUUSD (Gold spot) - USOIL (WTI Crude Oil spot) DERIVED: - Gold/Oil ratio (with historical valuation reading) - Macro Scenario (synthesis of WTI level + Gold direction + yields) ═══════════════════════════════════════════ 🎯 FINAL SYNTHESIS (3 dedicated rows) ═══════════════════════════════════════════ 💬 SCENARIO — One of 6 macro readings: • STAGFLATIONARY (yield squeeze, no Gold longs) • GOLD HEDGE ACTIVE (inflation trade pro-Gold) • RISK-OFF (cautious flight-to-safety) • REFLATIONARY (broad pro-Gold) • RISK-ON (anti-Gold) • MIXED (no clear regime) 💎 MACRO BIAS — Aggregate score (±13) across all assets 🎯 TRADE SIGNAL — Final actionable verdict combining BIAS + SCENARIO: • 🚀 LONG STRONG / ▲ LONG OK • ⚠️ LONG CAUTIOUS • ⏸️ WAIT (yield squeeze / mixed signals) • 🛑 NO LONG / STAY OUT / SHORT BIAS ═══════════════════════════════════════════ 🧠 KEY LOGIC INNOVATION ═══════════════════════════════════════════ Equity indices (NKY/HSI/URTH) only count as pro-Gold when VIX > 22 (true flight-to-safety). This prevents the dashboard from misreading a "bonds beat all" regime as pro-Gold — a common flaw in naive aggregations. The TRADE SIGNAL row resolves the inevitable conflicts between macro bias (what "should" happen) and price action (what's actually happening), using a priority hierarchy where the SCENARIO has veto power over the BIAS score. ═══════════════════════════════════════════ 📺 3 VIEW MODES ═══════════════════════════════════════════ - FULL: complete 19-row dashboard - MINIMAL: only the 3 synthesis rows (SCENARIO + BIAS + SIGNAL) - COMPACT: only the TRADE SIGNAL (1-line ticker) Switch on-the-fly via settings — all modes use the same underlying calculations. ═══════════════════════════════════════════ ⚙️ CUSTOMIZATION ═══════════════════════════════════════════ - Dark / Light theme - 9 anchor positions + signed offsets (H/V) - 4 text sizes (Tiny / Small / Normal / Large) - Real-time refresh (lookahead_on for intraday) ═══════════════════════════════════════════ ⚠️ IMPORTANT DISCLAIMER ═══════════════════════════════════════════ This indicator is for informational and educational purposes only and does not constitute financial advice. Macro readings are simplified models — always combine with your own analysis, risk management, and price action. NOT suitable for backtesting strategies due to lookahead_on usage (which is intentional for real-time intraday monitoring). Past performance does not guarantee future results. ═══════════════════════════════════════════ 🦅 Born to fly, born to dare.
Pine Script® インジケーター
giua64の投稿
Tension Flow Trend [BigBeluga] - Historical RRTension Flow Trend is a high-performance trend-following framework that treats price action like a reactive elastic system. By moving beyond static averages, this indicator introduces "Price Tension"—a sophisticated measurement of how overstretched a trend is relative to its baseline—now enhanced with a live Historical RR (Risk:Reward) backtesting engine. By combining the ultra-low-lag properties of the Hull Moving Average (HMA) with real-time Z-Score volatility analysis, this indicator visualizes not just the direction of the market, but the mathematical "exhaustion" of every move. 🔵 THE ELASTICITY FRAMEWORK The Ultra-Responsive HMA Baseline: At the heart of the system is a 50-period Hull Moving Average. Specifically engineered to eliminate the lag found in traditional SMAs, the HMA provides a "true north" that reacts instantly to structural shifts without the usual delay. Price Tension (Z-Score Engine): The indicator measures the vertical distance between price and the HMA, normalizing it using standard deviation. This Z-Score represents the "Tension" of the trend—showing you exactly when the market has deviated too far from its mean. Dynamic Transparency Feedback: As price enters an extreme Z-Score range, the trend ribbon’s transparency increases. A bright, solid ribbon indicates compressed, high-probability energy, while a fading ribbon warns that the "elastic band" is stretched to its limit. 🔵 PERFORMANCE & RISK INTELLIGENCE Automated RR Projection: Upon every "START" signal, the script automatically plots dynamic Risk:Reward boxes. It calculates an ATR-based stop loss and projects a take-profit target based on your custom RR ratio, visualizing the trade's path in real-time. Rolling Performance Tracker: The indicator features a built-in backtester that tracks the win/loss history of the most recent trades. It calculates your Win Rate based on a rolling sample size, allowing you to see how the strategy is performing under current market conditions. Signal Cooldown Logic: To eliminate "whipsaw" noise, a configurable cooldown engine ensures that signals only trigger during significant structural shifts. This prevents signal clustering in sideways or choppy markets. 🔵 DUAL-DASHBOARD SYSTEM Energy Monitor (Bottom-Right): Tracks the numerical Z-Score and categorizes the market status. "Strong" indicates healthy momentum, while "Overextended" warns of an imminent mean-reversion risk. RR Performance Table (Top-Right): Provides an institutional-grade breakdown of your strategy performance, including total Wins, Losses, and the current Win Rate percentage for the specified trade window. 🔵 STRATEGIC APPLICATION The Momentum Breakout: Look for "START" labels that appear when the HMA slope aligns with a price crossover. These represent the birth of a new trend cycle where tension is low and expansion is likely. Managing Trend Exhaustion: When the ribbon begins to fade and the Energy Dashboard hits "Overextended," it is time to tighten stops or take partial profits. High tension usually precedes a sharp snap-back to the baseline. Confirming with Win Rate: Use the Performance Dashboard to gauge market regime. If the rolling Win Rate is high, the market is respecting the trend envelopes; if it drops, the market may be entering a consolidation phase where you should wait for better alignment. Mean Reversion Targets: For contrarian traders, the HMA baseline serves as a natural "magnet." When price is significantly overextended, look for price to be pulled back into the HMA "Neutral Zone." Tension Flow Trend transforms your chart into a map of market stress and opportunity. By visualizing the tension behind every candle and providing real-time performance feedback, it ensures you stay on the right side of the trend while trading with professional-grade risk management.
Pine Script® インジケーター
BigBelugaの投稿
16
Liquidity Vacuum Recovery Map [AGPro Series]Liquidity Vacuum Recovery Map 🧠 Core Idea Did price leave a liquidity vacuum, and is the market repairing that vacuum or rejecting the repair attempt? 📌 Overview / What it does Liquidity Vacuum Recovery Map is a price-action visualization tool built to study displacement, imbalance, liquidity void behavior, and repair progress after a strong directional candle. The script identifies high-quality displacement candles, builds an active vacuum zone from the body of that move, tracks how deeply price revisits the zone, measures repair progress, highlights rejection risk, and summarizes the full recovery context inside a compact AG Pro panel. It does not predict future price, automate trades, or claim that every vacuum must be filled. It is a structured map for reading whether a thin participation area is still open, partially repaired, fully repaired, or being rejected. 🎯 Purpose & Design Philosophy Many traders can see a fast displacement move after it happens. The harder question is what comes next: Is the market repairing the move, respecting the void, or rejecting the return into that area? This script was built to answer that question visually. It helps traders read imbalance recovery, repair quality, rejection pressure, and next-context conditions without turning the chart into a generic signal board. ⚡ Why This Script Is Different Most liquidity void tools focus on drawing static gaps, imbalance boxes, or historical void areas. This script does NOT treat a vacuum as a passive rectangle on the chart. Instead, it tracks the life cycle of the vacuum after displacement: creation, first repair, half repair, full repair, and rejection risk. The focus is not only where the vacuum is. The focus is whether the market is actively repairing it or refusing to repair it. ⚙️ Methodology 1. Displacement Detection The script reviews candle range expansion, candle body commitment, close drive, and volume participation to identify a meaningful displacement candle. 2. Vacuum Zone Mapping When the displacement qualifies, the script builds a vacuum zone from the strongest portion of the candle body. Bullish displacement leaves a repair zone below price. Bearish displacement leaves a repair zone above price. 3. Repair Progress Tracking The script tracks how far price penetrates back into the active vacuum zone and converts that movement into a repair progress percentage. 4. Rejection Evaluation If price enters the zone but moves away before full repair, the script evaluates whether the repair attempt is being rejected. 5. Quality Scoring Vacuum quality combines range expansion, body commitment, close drive, and volume participation into a 0-100 score. 6. Visual Output The chart displays the active vacuum zone, repair progress fill, midpoint reference, right-side repair tags, event labels, alerts, and a compact AG Pro decision panel. 🗺️ How to Read the Chart Liquidity Vacuum Zone = the thin participation area left behind by a strong displacement candle. Repair Progress Fill = the portion of the vacuum that price has already revisited. VAC HIGH / VAC LOW = the active upper and lower boundaries of the vacuum zone. REPAIR tag = the current repair progress score on the right side of the chart. VACUUM OPEN = a qualified vacuum exists, but repair has not meaningfully started. REPAIRING = price has started revisiting the vacuum zone. REPAIR COMPLETE = price has repaired most or all of the active vacuum. REJECTION RISK = price entered the vacuum zone but moved away before full repair. Panel = summarizes vacuum state, quality score, vacuum type, repair progress, rejection risk, target zone, and next context. 🚦 Signals & States • BULL VACUUM LEFT → bullish displacement created a vacuum below price. • BEAR VACUUM LEFT → bearish displacement created a vacuum above price. • REPAIR START → price has started entering the active vacuum zone. • REPAIR HALF → price has repaired at least half of the active vacuum zone. • REPAIR COMPLETE → price has repaired most or all of the active vacuum zone. • REPAIR REJECTION → price entered the vacuum zone but rejected away before full repair. 🔔 Alerts Logic Alerts can trigger when a qualified vacuum is created, repair starts, half repair is reached, full repair is reached, or repair rejection appears. These alerts are attention markers only. They are not trade instructions, entry signals, exit signals, or guaranteed outcomes. 🧩 Confluence Logic The context becomes stronger when a high-quality displacement candle creates a clear vacuum, price revisits the zone, repair progress reaches a meaningful threshold, and rejection risk remains low. The context becomes weaker when the vacuum is old, repair progress is incomplete, and price repeatedly rejects away from the zone. 📊 When to Use • After strong displacement candles • During imbalance and liquidity void analysis • Around fast breakout or breakdown moves • When evaluating whether a move is being repaired • When studying continuation versus retracement behavior • On liquid markets where candles and volume are meaningful ⚠️ When NOT to Use • In extremely low-liquidity markets • During highly erratic news candles • On symbols with unreliable volume data • When price is moving in tiny noisy candles without displacement • As a standalone buy or sell system 🎛️ Key Inputs • Minimum Displacement Range → controls how large a candle must be relative to average range. • Minimum Body / Range → controls how committed the displacement candle body must be. • Minimum Close Drive → controls how strongly the candle must close toward its direction. • Vacuum Zone Body Share → controls how deep the vacuum zone is drawn inside the displacement body. • Repair Start / Half / Complete Percent → controls the repair progress thresholds. • Rejection Buffer ATR → controls how far price must move away before rejection risk is detected. • Projection Bars → controls how far the active zone extends to the right. • Label and Panel Font Size → controls chart readability. 🖥️ Interface & Visual Design The visual design is built around one active story: Where is the vacuum, how much of it has been repaired, and what is the current repair state? The zone creates the main map, the repair fill shows progress, right-side tags keep the structure readable, event labels mark important moments, and the AG Pro panel summarizes the decision context. 🧪 Practical Usage Workflow 1. Read the panel first. 2. Check whether the script shows an active vacuum. 3. Review the vacuum quality score. 4. Look at repair progress. 5. Check whether rejection risk is low, medium, or high. 6. Use the vacuum boundaries as context areas, not automatic trade levels. 7. Confirm the broader market structure independently. 🔍 Interpretation Guidelines A vacuum left behind by strong displacement can remain open for a long time. Repair progress means price has revisited part of the zone. Full repair means the active vacuum has mostly been revisited. Rejection risk means the market attempted to repair the zone but moved away before completing the repair. None of these states guarantee what happens next. 🚫 What This Script Is NOT This script is not a prediction engine. It is not a financial advice tool. It is not an automated trading system. It does not guarantee that price will fill a vacuum. It does not guarantee continuation after rejection. It does not replace risk management or independent analysis. ⚠️ Limitations & Transparency Vacuum detection depends on candle behavior, volatility, volume, and timeframe. Different timeframes may show different vacuum structures. Some markets repair quickly, while others leave open void areas for long periods. Volume-based scoring may be less reliable on symbols with incomplete or synthetic volume. High volatility can create visually large zones that should be interpreted with extra caution. 🧠 Market Context Notes Liquidity vacuums are most useful when interpreted as participation gaps rather than guaranteed magnets. A repaired vacuum can signal that the market revisited a prior thin area. A rejected vacuum can signal that the market respected the displacement path and refused deeper repair. The best interpretation comes from combining vacuum context with structure, volatility, liquidity, and higher-timeframe conditions. 🧾 Use Case Examples When price leaves a strong bullish displacement candle and later returns into the vacuum zone, traders can monitor whether repair progress increases smoothly or gets rejected near the upper part of the zone. When price leaves a strong bearish displacement candle and later returns into the vacuum zone, traders can monitor whether the market fully repairs the move or rejects back below the zone. When repair progress reaches half repair but rejection risk rises, the active context may become more fragile. 🧱 System Philosophy Liquidity Vacuum Recovery Map is part of the AGPro Series approach: Build visual tools that explain market context clearly, avoid hype, avoid prediction claims, and support structured decision-making. The goal is not to tell users what to do. The goal is to help users see what the market is doing more clearly. 🔐 Non-Promise Statement No script can remove uncertainty from trading. This tool does not promise accuracy, certainty, profitability, or future performance. 📉 Risk Disclosure Trading involves risk. Market conditions can change quickly. Users are responsible for their own decisions, position sizing, risk management, and interpretation. This script is for educational and analytical purposes only and does not provide financial advice. 📚 Educational Note Use this script as a structured way to study displacement, liquidity vacuum behavior, repair progress, and rejection context. The most valuable output is not a single label. The value is the full map: vacuum, repair, rejection, quality, and next context.
Pine Script® インジケーター
AGProLabsの投稿
Market PressureMarket Pressure — Description & Usage Market Pressure is a normalized oscillator designed to characterize whether buying or selling pressure is dominating the market, and how persistent that pressure is over time. It does not attempt to predict price or generate signals. Instead, it measures the consistency of directional behavior by combining where price closes within each bar, the strength of the candle body, the level of volume participation, and alignment with trend. These components are smoothed and scaled into a range between -100 and +100, allowing the user to quickly assess who is in control and how strong that control is relative to recent conditions. Values above zero indicate net buying pressure, while values below zero indicate net selling pressure. The most important region is the neutral zone around zero, defined by the user, which represents a balanced market where neither side has clear control. When the histogram remains within this neutral range, price action is typically rotational and prone to false moves. When the indicator moves and sustains itself outside of that range, it reflects a shift toward directional control. Strong readings toward the extremes suggest persistent and coordinated pressure, often associated with trend continuation rather than random movement. This indicator is best used as a contextual filter rather than an entry tool. When Market Pressure is positive and holding above the neutral boundary, it suggests focusing only on long opportunities and avoiding shorts. When it is negative and holding below the neutral boundary, the opposite applies. When it is inside the neutral zone, the most effective action is often to stand aside, as the market lacks a dominant participant. The behavior of the histogram also provides insight into the quality of a move. Expanding values indicate strengthening pressure, while contracting values suggest that the dominant side may be losing control. Because the indicator is normalized using a rolling lookback window, all readings are relative to recent history rather than fixed absolute levels. This allows it to adapt across different markets and timeframes, but also means that extremes represent the strongest pressure observed within that window, not an absolute threshold. The result is a flexible tool that highlights when the market is trending with conviction, when it is losing momentum, and when conditions are best avoided altogether.
Pine Script® インジケーター
tgregg75の投稿
Market Structure Trend Matrix [BigBeluga]Market Structure Trend Matrix is a comprehensive technical analysis framework engineered for traders who demand precision in identifying market regimes and trend expansions. By integrating automated Market Structure (MS) detection with volatility-adjusted risk parameters, this indicator provides a systematic roadmap for navigating complex price action. The tool focuses on the Change of Character (ChoCh) —the critical moment when a previous trend structure breaks and a new directional bias begins. 🔵 ARCHITECTURE & CORE LOGIC Automated Structure Mapping: The engine uses a sophisticated pivot-detection algorithm (MS Length) to scan for institutional-grade swing highs and lows. It ignores minor retail noise, drawing structural lines only when significant supply or demand zones are breached. The ChoCh Engine: When price crosses a recent pivot high or low, the indicator prints a "ChoCh" label. This represents a fundamental shift in market sentiment, signaling that the current trend has likely terminated and a new cycle has begun. Infinite Expansion Targets: One of the most advanced features of the Matrix is its ability to project sequential, infinite targets. These levels are not static; they are calculated using Average True Range (ATR) multipliers, meaning they expand and contract based on current market volatility. Volatility-Anchored Trailing Stop: To ensure professional-grade risk management, the indicator plots a dynamic ATR Trailing Stop . This line acts as a "ratchet" mechanism—it moves closer to price during the trend expansion but stays firm during minor pullbacks, providing a clear exit point if the trend truly fails. 🔵 ADVANCED FEATURES & UPDATES Target History Control: This latest version includes a Show History toggle. You can choose to keep the chart clean by only displaying the Active Target , or you can enable history to see a visual record of every target hit during the trend, complete with historical percentage labels. Dynamic Trailing Stop Visibility: The Show Trailing Stop feature allows you to toggle the visibility of the ATR stop line and its associated background fill, giving you full control over the visual "weight" on your workspace. Percentage Profit Labels: Every time price reaches an expansion target, the script automatically plots a label showing the percentage gain from the initial ChoCh entry point. Volatility-Adjusted Spacing: Both the trailing stop and the target steps use ATR-based calculations. This ensures that the indicator remains effective across all asset classes—from volatile Cryptocurrencies to stable Forex pairs. 🔵 HOW TO INTERPRET THE MATRIX Bullish State (Green Matrix): Activated when price breaks above a major Pivot High. The indicator projects upward expansion targets and maintains a trailing stop below the price. Bearish State (Pink Matrix): Activated when price breaks below a major Pivot Low. The indicator projects downward targets and maintains a trailing stop above the price. The Target Cascade: As price hits a target, the indicator instantly projects the next level. If price continues to expand, you will see a "cascade" of dashed lines, each representing a deeper extension into the trend. 🔵 APPLICATION IN TRADING Scalping & Day Trading: Set the Market Structure Length to a lower value (e.g., 5-8) to capture fast intraday pivots and expansion moves on 1m or 5m charts. Swing Trading: Use a higher length (e.g., 15-20) to identify macro structure shifts on Daily or H4 timeframes, allowing the ATR targets to guide your long-term profit-taking. Risk-Reward Management: The distance between the ChoCh Entry and the ATR Trailing Stop provides an objective risk measurement, while the sequential targets provide clear reward milestones. Filtering False Breaks: By using an ATR Multiplier for the trailing stop, the Matrix avoids many of the common "whipsaws" found in standard trend-following systems. 🔵 CONCLUSION Market Structure Trend Matrix is more than a signal tool; it is a visual framework for objective decision-making. By anchoring your trading to structural pivots and volatility-based targets, you remove the guesswork from trend following. Whether you are looking for a clean "ChoCh" entry or a systematic way to trail your profits during a massive expansion, the Trend Matrix provides the data and clarity required to trade like a professional.
Pine Script® インジケーター
BigBelugaの投稿
15
BTC MTF Engulfing Flip Strategy (1H, 2X)BTC Flip Bot V1 — MTF Engulfing + SL-Flip (BTCUSDT 1H 2×) Author: Jagadeesh Manne Version: V1 — first public release (April 2026) A multi-timeframe trend-following strategy with SL-flip extension for BTC perpetual futures. ⚠️ IMPORTANT: This strategy is tested and validated ONLY on BTCUSDT perpetual futures | 1H timeframe | 2× leverage. Do not apply to other pairs, timeframes, or leverage settings without independent testing. ⚠️ TradingView's chart timeframe affects how this strategy calculates. A red banner appears if the chart is not set to 1H — set the top-left TF to "1h" explicitly for results to match the published backtest. ⚠️ TradingView free/basic accounts cache only a limited number of bars (5K–20K). The TV backtest you see will cover only the most recent window of the full 6.5-year test. See the "Full backtest" section below for the authoritative Python numbers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW IT WORKS Three timeframes must align simultaneously on a single 1H bar before a trade is taken: 🔹 DAILY — Trend Regime Close > 50-period EMA for longs (below for shorts). Macro trend safety gate — rejects ~50% of all signals that would trade against the dominant trend. 🔹 4H — Momentum Confirmation RSI(14) > 50 for longs (below for shorts). Medium-term momentum alignment. 🔹 1H — Entry Trigger (all 5 must be true on the same bar) • RSI(14) > 45 for longs / < 55 for shorts • MACD(12,26,9) line above/below signal line • Bullish or Bearish engulfing candle (body > prior body) — the core trigger • ATR(14) above 50-period average (volatility expanding) • Volume above 1.5× 20-period SMA (participation spike) Only ~1% of all engulfing candles pass all 7 filters across a 5-year period. This extreme selectivity is the edge. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ STOP LOSS & PARTIAL TP Main SL: Pattern-based (min of entry bar low + prior bar low, with 0.1% buffer). Capped at 2.5% from entry. Whichever is tighter wins. Partial TP (tuned April 2026): • At +6R favorable move, 15% of position closes • After partial TP, SL moves to entry + 0.1% (break-even + fee buffer) • Remaining 85% continues running with BE stop — captures fat-tail winners while protecting locked-in profit Why 15%@6R (not 30%@5R)? Grid-search on 5yr data showed this variant lifts CAGR +11 percentage points vs the previous 30%@5R partial, because a small partial lets the runner portion capture the full fat-tail move when a trend plays out. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SL-FLIP EXTENSION When main SL hits, the strategy queues an opposite-direction flip trade: • Waits 1 hour after SL hit (lets whipsaw settle) • Opens opposite direction with TIGHT 1.5% SL (vs main 2.5%) • SL placed at swing high/low from last 10 bars OR 1.5% cap from broken SL — whichever is tighter • No flip-on-flip cascade (prevents revenge trading) • 24-hour time-stop on flip positions • Flips respect DD halt + generic post-exit cooldown Flip trades add a meaningful contribution over the non-flip baseline while keeping max drawdown unchanged. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EXIT RULES • Stop Loss hit → close (triggers flip if not already a flip) • Partial TP at +6R → close 15%, SL moves to BE+0.1%, rest runs • Opposite direction signal → close only (no flip-open on signals, only on SL) • Flip time-stop at 24h → close • Drawdown circuit breaker: -25% from peak halts all trading for 7 days ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RISK MANAGEMENT • 2× leverage (tested at this level only) • Position sizing: notional = equity × leverage (deploys full leverage on each trade) • 24h same-direction cooldown after SL hit • 2h generic post-exit cooldown (any direction) • -25% drawdown halt pauses trading for 7 days • Flip trades use tighter SL (1.5%) + 24h time-stop ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FULL BACKTEST (Python, Binance futures historical data) Period: September 2019 — April 2026 (~6.5 years) Starting capital: $5,000 Leverage: 2× Results (V1 with latest tuning: 15%@6R partial + BE+0.1% + SL-flip): Start → Final: $5,000 → $181,943 (+3,539%) CAGR: +105.3% Max DD: -19.7% Profit Factor: 4.63 Win Rate: 41.9% (31W / 43L) Total Trades: 74 (~15/yr) — 38 Long, 36 Short, 9 of which were flips SL hits: 40 DD halts triggered: 0 Tuning history (each change validated on 5yr data): • Baseline V5 (no flip): +89% CAGR, PF 4.24, 43 trades • V6 + SL-flip: +97% CAGR, PF 4.20, 79 trades (flips add more trade opportunities) • V6 + BE-move after partial TP: PF 4.20 → 4.29 (kills runner-giveback) • V6 + 15%@6R partial: CAGR 97% → 105%, PF 4.29 → 4.63 (current) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY TRADINGVIEW RESULTS DIFFER FROM PUBLISHED NUMBERS Two reasons: 1. Bar history limit — TradingView loads a finite number of bars for strategy calculation. Free and basic plans only cover ~6–14 months of 1H data. The chart date header shows the full visible range, but the strategy only computes on the loaded bars. Premium plans load more history but usually still less than 6.5 years. 2. Indicator warmup — the Daily EMA50 filter needs ~50 daily bars (~2 months) of warmup data before producing stable values. Python skips the first 100 bars explicitly; Pine Script does not. For production-accurate numbers, use the Python backtest values above. For a feel of the strategy's pattern, the TV preview is fine as an indication. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT TO EXPECT This is NOT a high-frequency strategy: • ~15 trades per year including flip trades • Median wait between main signals: 7–10 days • Longest historical quiet gap: ~2 months • ~55% of trades stopped out (by design — fat-tail capture) • Average winner >> average loser (each win is ~5–8× an average loss) • Requires patience — extended quiet periods are normal, not a malfunction • Fat tails matter: a few mega-winners (10%+ single trades) drive most of the CAGR ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS (all configurable with tooltips) Risk Management: • Leverage: 2× (tested only at this level) • Risk per trade: 1% (used for dashboard display) • DD halt: -25% for 168 hours (7 days) Stop Loss: • SL max: 2.5% cap • SL buffer: 0.1% Partial Take Profit: • TP trigger: 6R (sweep-verified peak) • TP close: 15% of position • SL-to-BE buffer after partial: 0.1% (kills runner-giveback) Entry Filters: • RSI long/short zones: 45 / 55 • Engulf body multiplier: 1.0× (any-size engulfing) • ATR MA length: 50 • Volume SMA length: 20 • Volume spike ratio: 1.5× Cooldowns: • Same-dir SL cooldown: 24h • Generic post-exit cooldown: 2h SL-Flip: • Enabled by default • Flip wait: 1h • Flip SL cap: 1.5% • Swing lookback: 10 bars • Flip time-stop: 24h Visuals: • Clean view toggle (default ON — hides dashboard for publishing) • Daily EMA50 line toggle • Timeframe advisory banner (red warning if chart TF ≠ 1H) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DISCLAIMER • Past performance does not guarantee future results. Backtests can overfit, especially after extensive parameter tuning. • Live performance will differ from backtest due to real slippage, partial fills, exchange latency, and market regime shifts. • TradingView free/basic accounts show a limited window; the authoritative full backtest is Python + Binance archives. • This strategy is designed for experienced traders who understand leverage, futures trading, stop losses, drawdown risk, and position sizing. • Small sample size (74 trades over 6.5 years) means regime changes could meaningfully degrade performance. A flat 3–6 month period is not a strategy failure. • The strategy depends on fat-tail winners. Missing one or two large trends can halve expected CAGR. • 2× leverage amplifies both gains AND drawdowns. Use capital you can afford to lose entirely. • Not financial advice — use at your own risk. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CHANGELOG V1 (April 2026 — first public release): • Multi-timeframe entry: Daily EMA50 + 4H RSI + 1H (RSI + MACD + Engulfing + ATR + Volume) • Pattern-based SL with 2.5% cap • Partial TP: 15% at +6R (small partial for maximum fat-tail capture) • SL-to-BE move after partial TP (kills runner-giveback) • SL-flip extension: opposite-direction entry after SL hit with tight 1.5% SL • 24h same-direction cooldown + 2h generic cooldown • -25% DD halt for 7 days • Clean-view toggle for minimal chart display • Timeframe-mismatch advisory banner
Pine Script® ストラテジー
jagadeeshmanneの投稿
Descriptive Statistics [Mean + Std Dev Bands]This indicator models market structure using a parametric statistical approach based on the mean and standard deviation. It is designed to measure price volatility and deviation from average market behavior. It does not predict direction; instead, it describes how far price deviates from its statistical or arithmetic mean over a defined sample of data. What it shows? 1. Mean: The average price level, representing the central equilibrium of the dataset. 2. Standard Deviation (σ): Measures how dispersed price is around the mean. 3. ±1σ Bands: Normal market variation zone (typical price movement). 4. ±2σ Bands: Strong deviation zone (extended moves). 5. ±3σ Bands: Extreme statistical events (rare market conditions). 6. You may notice the one of (±1σ Bands) bands deviate more than the other especially during trendy market conditions. It is easy spot can can be good for daily directional bias. How it works The indicator collects price data using either: 1. Reset Mode: Builds a new dataset each session (Daily, Weekly, Monthly, or chart timeframe). 2. Length Mode: Uses a rolling window of the last N candles. It then calculates the mean and standard deviation from the selected dataset to construct dynamic volatility bands. How to use it 1. Price near the Mean → equilibrium / fair value zone. 2. Price within ±1σ → normal market behavior. 3. Price between ±1σ and ±2σ → strong momentum or expansion. 4. Price beyond ±2σ or ±3σ → statistically extreme conditions (overextension or volatility spikes). Key concept This tool does not forecast price direction. It provides a volatility-based distribution model, helping traders understand how stretched or compressed price is relative to its average behavior. ⚠️ Note This indicator is for educational and analytical purposes only and should not be used as standalone trading advice. Author: TUGUME WILLIAM MUTARA
Pine Script® インジケーター
mutaratugumewilliamの投稿
Multi-Asset SuperTrend Map [BigBeluga]🔵 OVERVIEW Multi-Asset SuperTrend Map is a comparative market-structure visualization tool that displays multiple assets side-by-side using a unified SuperTrend framework. Instead of switching charts or stacking indicators, this tool compresses several markets into a single view, allowing traders to instantly assess trend direction, volatility alignment, and volume pressure across assets. Each asset is reconstructed as a scaled synthetic candle stream, aligned to the current chart’s volatility, and overlaid with its own SuperTrend logic. 🔵 CORE CONCEPT SuperTrend as Regime Filter — Each asset uses the same ATR-based SuperTrend logic to determine bullish or bearish state. Volatility Normalization — Assets are scaled using ATR ratios so high-price and low-price symbols can be compared visually on one chart. Synchronized Time Axis — All assets are plotted on the current chart timeframe, enabling true bar-to-bar comparison. Trend + Delta Context — In addition to trend direction, the indicator aggregates directional volume (delta) to reveal participation strength. 🔵 CALCULATION & LOGIC 1. SuperTrend Engine The indicator uses TradingView’s native SuperTrend calculation: = ta.supertrend(factor, atrPeriod) ATR Length controls volatility smoothing. ATR Factor defines band width and trend sensitivity. Trend direction is binary: Bullish when price is above the SuperTrend line. Bearish when price is below the SuperTrend line. 2. Multi-Asset Scaling Logic Each external symbol is fetched using request.security() . ATR is calculated both on the chart symbol and the external symbol. A scaling coefficient is derived: chart ATR ÷ symbol ATR // --- compute scale factor on SAME timeframe atrChart = ta.atr(200) atrSym2 = request.security(sym, timeframe.period, ta.atr(200)) k = atrSym2 != 0.0 ? atrChart / atrSym2 : 1.0 All OHLC values are remapped so different assets share a comparable vertical range. 3. Synthetic Candle Reconstruction Each asset is redrawn using: Vertical lines for wicks Thick lines for candle bodies Candle color logic: Trend-based (SuperTrend direction) if enabled Otherwise standard bullish/bearish candle logic 4. SuperTrend Mapping The SuperTrend line for each asset is remapped and drawn as a polyline. This allows trend curvature and regime shifts to be compared visually across symbols. 5. Delta Volume Aggregation Directional volume is accumulated: Volume added when close > open Volume subtracted when close < open Delta is displayed per asset, showing whether bullish or bearish participation dominates. 🔵 VISUAL STRUCTURE Each asset is wrapped inside a bounding box representing its full recent range. Background color reflects current trend direction (bullish or bearish). Asset label displays: Symbol name Current price Trend direction arrow (▲ / ▼) Delta volume is displayed beneath the asset block for flow context. ⚠️MARKET SESSION BEHAVIOR On lower timeframes (e.g. 1m–12h), traditional stock markets are closed during weekends . During these periods, price data may appear as flat or static candles with minimal or no movement. This is expected behavior and reflects the absence of active trading, not a calculation error. Crypto markets remain unaffected and continue updating normally. 🔵 HOW TO USE Compare trend alignment across correlated markets (e.g., BTC vs ETH). Identify relative strength when one asset trends while others stall. Use delta volume to confirm whether trends are supported by participation. Spot early divergence when price trends align but delta disagrees. Combine with higher-timeframe structure or liquidity tools for execution. 🔵 CONCLUSION Multi-Asset SuperTrend Map transforms SuperTrend from a single-market indicator into a cross-market decision framework . By normalizing volatility, synchronizing time, and adding volume delta context, it enables traders to evaluate trend quality, alignment, and participation across assets — all from one chart. This makes it especially powerful for crypto pairs, index baskets, and correlated markets where relative behavior matters as much as absolute price direction.
Pine Script® インジケーター
BigBelugaの投稿
6
Adaptive Trend ChannelAdaptive Trend Channel is designed to find the most reliable short-term and long-term trend channels automatically, instead of forcing the user to work with one arbitrary lookback length. The script scans a broad range of candidate periods, builds a regression-based channel for each one, and then compares them through a multi-factor selection process. The goal is not just to find a channel that looks clean, but one that is statistically solid and structurally meaningful. To do that, the indicator favors channels with strong linearity, efficient trend behavior, sufficient directional strength, good price containment inside the bands, controlled width, and stable quality across nearby lengths. This helps avoid weak or accidental fits and gives priority to channels that are more robust in practice. For best results, it is strongly recommended to use a logarithmic chart and to enable the option "Enable for logarithmic price scale" in the indicator settings. This is especially important on assets with large percentage moves over time, because the channel geometry then reflects percentage-based price movement more accurately. Color is also important and very simple to read: if a very robust channel is found, it is displayed in blue by default. This means the selected channel passed the eligibility filters and qualified as a strong structure. If no channel is robust enough, the script can still display the best available candidate, but it will appear in gray by default. OVERVIEW Adaptive Trend Channel helps identify the best short-term and long-term trend channels without manually testing many different lengths. Instead of relying on fixed settings, it adapts to the market structure by selecting the channels that best balance fit, strength, consistency, and usability. The indicator can display: - the best short-term channel - the best long-term channel - an optional midline - an optional data table with channel diagnostics HOW IT WORKS For each tested lookback period, the script builds a regression-based trend channel and measures its quality. Two selection modes are available: 1. Pearson r This mode focuses mainly on linear fit quality. 2. Robust Composite This mode uses a broader decision framework and combines several factors to favor channels that are not only well fitted, but also more reliable as usable trend structures. In Robust Composite mode, the selection can include: - Pearson correlation - trend efficiency - ADX trend strength - price containment inside the channel - channel width control - local stability across neighboring tested lengths A channel is considered eligible only if it passes the minimum filters defined by the user, such as: - minimum absolute Pearson r - minimum ADX - minimum containment ratio - maximum allowed channel width If at least one eligible channel is found, the strongest one is selected and displayed in blue by default. If none qualifies, the script still displays the best available fallback channel, but in gray by default. WHY THIS APPROACH A fixed-length channel can work well in one market condition and fail badly in another. This script addresses that problem by testing multiple candidate lengths and ranking them with a more complete selection logic. The method is designed to reduce three common issues: - choosing an arbitrary lookback period - overvaluing channels that only look good visually - accepting channels that fit price poorly or are too unstable By combining fit quality, structure, strength, containment, and stability, the indicator aims to produce channels that are more trustworthy and easier to interpret. HOW TO READ IT - The short-term channel helps track the active market structure. - The long-term channel helps frame the broader trend. - Blue by default means a robust eligible channel was found. - Gray by default means the displayed channel is the best available one, but it did not pass the eligibility filters. - The position of price inside the channel helps show whether price is near the upper band, lower band, or midline. FEATURES - Automatic search for the best short-term and long-term channels - Adaptive selection across multiple lookback lengths - Robust eligibility filtering - Blue default color for robust eligible channels - Gray default color for fallback non-eligible channels - Support for linear and logarithmic mode - Optional midline display - Optional table with channel metrics - Two detection methods: Pearson r or Robust Composite TABLE METRICS Depending on your settings, the table can display: - best length - selection metric - stability - trend efficiency - Pearson r - ADX - annualized channel return - annualized channel price return MAIN INPUTS - Show Best Short-Term Channel - Show Best Long-Term Channel - Enable for logarithmic price scale - Display Deviation Multiplier - Best Channel Detection - minimum eligibility filters for Pearson r, ADX, containment, and width - optional table settings NOTES - For best interpretation, use logarithmic mode on a logarithmic chart. - Blue by default means the channel passed the eligibility filters and was considered robust. - Gray by default means the script is showing the best fallback channel, but it is not eligible. - Annualized return metrics are intended for daily, weekly, and monthly timeframes. Adaptive Trend Channel is built for traders who want a more objective, adaptive, and robust way to identify high-quality trend channels.
Pine Script® インジケーター
Julien_Exeの投稿
7
EMA and Dow Theory Strategies V4━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Overview EMA and Dow Theory Strategies V4 is a refinement of V3, focused on one core problem: protecting profits on trades that moved in your favor but reversed before reaching the take-profit levels. The entry logic is unchanged from V3 — EMA slope direction, Dow Theory swing structure, and ADX trend filter. V4 adds a Break Even Stop mechanism that automatically moves the stop-loss to the entry price once floating profit reaches a defined threshold. This single addition meaningfully improves the risk-adjusted performance without sacrificing the strategy's core edge. The visual interface has also been fully redesigned — gradient Dow Theory zones, a neon EMA glow effect, minimal trade labels, and a real-time status table showing all entry conditions at a glance. ────────────────────────────── What Changed from V3 Added: - Break Even Stop (BE Stop) — When floating profit reaches the BE Trigger % threshold, the stop-loss automatically moves to entry price (+ 0.1% buffer for fees). Trades that previously resulted in a loss after being in profit now exit at breakeven instead. - Real-time Status Table — Displays EMA direction, Dow Theory trend, ADX value, position status, and BE state. Supports Japanese / English toggle. - Per-element display toggles — Each visual element can be shown or hidden independently via checkboxes. - Higher TF swing repainting fix — Rebuilt using lookahead_off and confirmed pivot bars to reduce repainting. Note: the higher timeframe swing lines have always been display-only and were never used in entry conditions, so this change does not affect strategy logic. - Bilingual support — Full Japanese / English language toggle. Redesigned: - EMA line now uses a 3-layer glow effect (neon teal / neon red) - Dow Theory gradient zones simplified from 5 layers to 2 layers - TP lines changed to semi-transparent lines (TP1 faint → TP3 visible) - Trade labels now show only final exit results - Higher TF swing lines thinned and made semi-transparent as reference-only ────────────────────────────── Parameters & Recommended Ranges EMA Period — Default: 58 — Range: 30–100 Shorter for high-volatility assets, longer for stable ones. ATR Factor — Default: 3.8 — Range: 2.5–6.0 Controls TP distance. Higher = wider targets. Stop Loss (%) — Default: -5.0 — Range: -4 to -10 Wider for volatile assets, tighter for BTC/ETH. ADX Threshold — Default: 20.5 — Range: 15–28 Higher = stricter range filter, fewer but higher-quality trades. Swing Length — Default: 13 — Range: 2–20 Larger = less sensitive to minor swings. BE Trigger (%) — Default: 9.0 — Range: 3.0–15.0 Set below TP1 distance for protection before TP1 is reached. ────────────────────────────── Recommended Settings by Asset Type Meme coins (DOGE, SHIB, etc.) EMA: 44–58 / ATR: 3.5–5.0 / SL: -5 to -8% / ADX: 18–22 / Swing: 10–15 / BE: 7–10% Major assets (BTC, ETH) EMA: 55–80 / ATR: 2.5–4.0 / SL: -4 to -6% / ADX: 20–25 / Swing: 8–15 / BE: 5–8% Mid-cap alts (SOL, SUI, etc.) EMA: 35–55 / ATR: 4.0–5.5 / SL: -5 to -7% / ADX: 18–23 / Swing: 8–15 / BE: 6–10% Small-cap alts EMA: 30–50 / ATR: 4.5–6.0 / SL: -7 to -10% / ADX: 18–22 / Swing: 5–12 / BE: 8–12% ────────────────────────────── Recommended Settings by Timeframe 1–5 min: ADX threshold 15–20 15 min – 1 hour: ADX threshold 18–23 2–4 hour: ADX threshold 20–25 (default settings optimized for 2H) ────────────────────────────── Entry Conditions Long: EMA slope rising AND Dow Theory trend up AND ADX > threshold Short: EMA slope falling AND Dow Theory trend down AND ADX > threshold ────────────────────────────── Exit Conditions TP1: Entry + ATR x Factor x 1 → close 30% TP2: Entry + ATR x Factor x 2 → close 30% TP3: Entry + ATR x Factor x 3 → close 30% Stop Loss: Fixed % from entry → full close Break Even Stop: Triggered once profit >= BE Trigger % → full close at entry price Trend Reversal: Dow Theory swing flip → full close ────────────────────────────── Visual Features EMA line: 3-layer neon glow — teal when rising, red when falling Dow Theory zones: 2-layer gradient from swing high/low to current price Swing lines: Horizontal support/resistance at current swing high/low TP lines: Semi-transparent lines, TP1 faint to TP3 visible BE Stop line: Gold line shown when BE is active Higher TF swing: Thin reference lines from the 4H timeframe Gray background: ADX below threshold (range-bound zone, no entries) Status Table: Real-time display of all entry conditions and current state This strategy is designed for trend-following on crypto assets, primarily on the 1H–4H timeframe. Default settings are optimized for DOGE on the 2H chart. Always backtest on your target asset before live trading. Past performance does not guarantee future results. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 概要 EMA and Dow Theory Strategies V4 は、V3をベースに改良したバージョンです。解決した課題は一つ——含み益が出ていたにもかかわらず、TP到達前に相場が反転して損失になるトレードを減らすことです。 エントリーロジックはV3から変わっていません。EMAの傾き、ダウ理論のスイング構造、ADXトレンドフィルターの3条件です。V4ではこれにブレークイーブンストップを追加しました。含み益が設定したしきい値%に達すると、損切りラインが自動的にエントリー価格に移動します。このシンプルな追加一つで、ストラテジーの本質的なエッジを損なわずにリスク調整後のパフォーマンスが改善されています。 また、チャートの視覚表現も全面的に刷新しました。ダウ理論ゾーンのグラデーション、EMAのネオングロー効果、すっきりしたトレードラベル、そしてエントリー条件をひと目で確認できるステータステーブルを追加しています。 ────────────────────────────── V3からの主な変更点 追加したもの： - ブレークイーブンストップ（BE Stop） — 含み益がBE発動しきい値%に達すると、損切りラインがエントリー価格（+手数料分0.1%バッファ）に自動移動。以前は「プラスになったのに最終的にマイナス」で終わっていたトレードがブレークイーブン撤退になります。 - ステータステーブル — EMA方向・ダウ理論トレンド・ADX値・ポジション状態・BEの状態をリアルタイムで一覧表示。日本語・英語の切り替えに対応。 - 描画要素の個別ON/OFF — 各表示要素をチェックボックスで個別に切り替え可能。 - 上位足スイングラインの再描画修正 — lookahead_off と確定済みピボットバーを使用して再描画を低減。なお、上位足スイングラインはもともとエントリー条件には使用しておらず、あくまで参考表示のみです。この修正はストラテジーのロジックに影響しません。 - 日英バイリンガル対応 — ステータステーブルと表示ラベルの日本語・英語切り替えに対応。 刷新したもの： - EMAラインが3層グロー効果（ネオンティール / ネオンレッド）に - ダウ理論グラデーションゾーンを5層→2層に簡略化 - TPラインを半透明ラインに変更（TP1が最も薄く、TP3が最も濃い） - トレードラベルは最終決済時のみ表示（部分利確のラベルは非表示） - 上位足スイングラインを細く・半透明にして参考表示に ────────────────────────────── パラメーターと推奨設定範囲 EMA期間 — デフォルト: 58 — 推奨範囲: 30〜100 ボラが高い銘柄は短め、安定銘柄は長め。 ATR倍率 — デフォルト: 3.8 — 推奨範囲: 2.5〜6.0 TP距離の基準。大きいほど利確ラインが遠くなる。 損切り(%) — デフォルト: -5.0 — 推奨範囲: -4〜-10 ボラが高い銘柄は広め、BTC/ETHはタイトでOK。 ADXしきい値 — デフォルト: 20.5 — 推奨範囲: 15〜28 高いほどレンジ除外が厳しく、トレード数が減り精度が上がる。 スイング検出期間 — デフォルト: 13 — 推奨範囲: 2〜20 大きいほど小さなスイングに反応しにくくなる。 BE発動しきい値(%) — デフォルト: 9.0 — 推奨範囲: 3.0〜15.0 TP1到達距離より低めに設定すると、TP1到達前に元本を守れる。 ────────────────────────────── 銘柄タイプ別おすすめ設定 ミーム系（DOGE・SHIBなど） EMA: 44〜58 / ATR倍率: 3.5〜5.0 / 損切り: -5〜-8% / ADX: 18〜22 / スイング: 10〜15 / BE: 7〜10% 主要銘柄（BTC・ETH） EMA: 55〜80 / ATR倍率: 2.5〜4.0 / 損切り: -4〜-6% / ADX: 20〜25 / スイング: 8〜15 / BE: 5〜8% 中堅アルト（SOL・SUIなど） EMA: 35〜55 / ATR倍率: 4.0〜5.5 / 損切り: -5〜-7% / ADX: 18〜23 / スイング: 8〜15 / BE: 6〜10% 小型アルト EMA: 30〜50 / ATR倍率: 4.5〜6.0 / 損切り: -7〜-10% / ADX: 18〜22 / スイング: 5〜12 / BE: 8〜12% ────────────────────────────── 時間足別おすすめ設定 1〜5分足: ADXしきい値 15〜20 15分〜1時間足: ADXしきい値 18〜23 2〜4時間足: ADXしきい値 20〜25（デフォルト設定は2時間足向けに最適化） ────────────────────────────── エントリー条件 ロング: EMAが上向き AND ダウ理論トレンドが上昇 AND ADX > しきい値 ショート: EMAが下向き AND ダウ理論トレンドが下降 AND ADX > しきい値 ────────────────────────────── イグジット条件 TP1: エントリーから +ATR×倍率×1 → 30%決済 TP2: エントリーから +ATR×倍率×2 → 30%決済 TP3: エントリーから +ATR×倍率×3 → 30%決済 損切り: 設定%を超えたら全決済 BEストップ: 含み益がBE発動しきい値%以上になると自動発動 → エントリー価格で全決済 トレンド反転: ダウ理論のスイングが逆転したら全決済 ────────────────────────────── チャートの見方 EMAライン: 3層グローエフェクト。上向きのときネオンティール、下向きのときネオンレッド ダウ理論ゾーン: スイング高値・安値から現在価格までの2層グラデーション スイングライン: 現在のサポート・レジスタンス水平線 TPライン: 半透明ライン。TP1が最も薄く、TP3が最も濃い BEストップライン: BE発動中にゴールドのラインで表示 上位足スイング: 4時間足のスイングレベルを参考表示（細い半透明ライン） グレー背景: ADXがしきい値以下の横ばいゾーン（このゾーンではエントリーしません） ステータステーブル: 全エントリー条件と現在の状態をリアルタイム表示 このストラテジーは主に1時間〜4時間足の暗号資産トレンドフォローを想定して設計されています。デフォルト設定はDOGEの2時間足で最適化されています。実運用の前に必ずご自身の対象銘柄・時間足でバックテストを行ってください。過去の結果は将来の利益を保証するものではありません。
Pine Script® ストラテジー
mm_mitsuyaの投稿
1
Institutional Trend Bot [Yady-Bot Precision]Ultra-Visual Indicator Author: Yadira / Yady Description: The Ultra-Visual Indicator is an advanced tool designed for intraday and swing traders who want a clear and intuitive visualization of market trends, momentum shifts, and reliable trade signals. Key Features: Key Moving Averages: EMA9 (blue), SMA20 (yellow), SMA200 (purple) for short, medium, and long-term trend analysis. Sentiment Panel: Displays the confirmed market trend (Bullish/Neutral/Bearish) in the top-right corner with intuitive colors. Automatic Alerts: Buy and sell signals based on moving averages, price direction, and trend strength. Dynamic Background: Changes color according to market sentiment — green for bullish, red for bearish, white for indecision. Clear Visuals: All moving averages and essential elements are displayed cleanly on a white background for maximum visibility. Customizable Parameters: Adjust moving average periods, colors, panel location, and alerts to match your trading style. Recommended Use: Ideal for intraday and swing trading in QQQ, SPY, Nasdaq, and other liquid markets. Helps quickly identify trends and potential entry/exit zones. Enables traders to operate with confidence using clear and consistent visual cues. Author’s Note: Created by Yadira (Yady), this indicator combines aesthetics, clarity, and functionality to deliver reliable signals without cluttering your chart — perfect for traders seeking professional visual analysis.
Pine Script® インジケーター
yamengorの投稿
1
EMA and Dow Theory Strategies V3Overview EMA and Dow Theory Strategies V3 is a major refinement of V2, focused on three goals: reducing overfitting, filtering out range-bound markets, and simplifying the parameter set from 13 inputs down to just 5. The core logic remains the same — combining Dow Theory swing structure with EMA trend direction — but V3 replaces the dual-EMA crossover system and OTHERS.D correlation filter with a single EMA slope judgment and an ADX-based range filter. The result is a cleaner, more robust strategy that performs more consistently across different assets and timeframes. What Changed from V2 Removed: Fast EMA / Slow EMA crossover → replaced by single EMA slope direction Index Fast EMA / Index Slow EMA (OTHERS.D correlation) → removed entirely RSI filter (overbought/oversold) → removed (was not functioning effectively) Scale adjustment parameter → removed Added: ADX filter (period fixed at 14) → skips entries during sideways/ranging markets Single EMA slope judgment → trend direction determined by whether EMA is rising or falling Result: Parameters reduced from 13 → 5 Parameters & Recommended Ranges EMA Period | Default: 50 | Range: 30–100 Shorter for high-volatility assets, longer for stable ones. ATR Multiplier | Default: 4.0 | Range: 2.5–6.0 Controls TP distance. Higher = wider targets. Stop Loss (%) | Default: -6.0 | Range: -4 to -10 Wider for volatile assets, tighter for BTC/ETH. ADX Threshold | Default: 18.0 | Range: 15–28 Higher = stricter range filter, fewer but higher-quality trades. Swing Detection Period | Default: 4 | Range: 2–14 Smaller = more sensitive to swing highs/lows. Recommended Settings by Asset Type Meme coins (DOGE, SHIB, etc.) EMA: 44–55 / ATR: 3.5–5.0 / SL: -6 to -8% / ADX: 18–22 / Swing: 3–5 Major assets (BTC, ETH) EMA: 55–80 / ATR: 2.5–4.0 / SL: -4 to -6% / ADX: 20–25 / Swing: 5–10 Mid-cap alts (SOL, SUI, etc.) EMA: 35–55 / ATR: 4.0–5.5 / SL: -5 to -7% / ADX: 18–23 / Swing: 4–7 Small-cap alts EMA: 30–50 / ATR: 4.5–6.0 / SL: -7 to -10% / ADX: 18–22 / Swing: 3–5 Recommended Settings by Timeframe 1–5 min: ADX threshold 15–20 (ADX tends to be lower on short timeframes) 15 min – 1 hour: ADX threshold 18–23 2–4 hour: ADX threshold 20–25 Entry Conditions Long: EMA slope rising AND Dow Theory trend up AND ADX > threshold Short: EMA slope falling AND Dow Theory trend down AND ADX > threshold Exit Conditions TP1: +ATR×1 → close 30% TP2: +ATR×2 → close 30% TP3: +ATR×3 → close 30% Stop Loss: fixed % from entry price → full close Trend reversal: Dow Theory swing flip → full close Visual Features EMA line: green when rising, red when falling Gray background: ADX below threshold (range-bound zone — no entries) Gradient zones: distance from price to swing high/low 4H reference: higher timeframe swing levels displayed This strategy is designed for trend-following on crypto assets, primarily on the 1H–4H timeframe. Always backtest on your target asset before live trading. Past performance does not guarantee future results. 🇯🇵 日本語 EMA and Dow Theory Strategies V3 概要 EMA and Dow Theory Strategies V3 は、V2を大幅に改良したバージョンです。主な改善点は3つ——過学習リスクの低減、横ばい相場のフィルタリング、そしてパラメーター数を13個から5個へのスリム化です。 コアロジックはV2から引き継いでいます。ダウ理論のスイング構造とEMAのトレンド方向を組み合わせてエントリーを判断します。ただしV3では、デュアルEMAクロスとOTHERS.D相関フィルターを廃止し、1本のEMA傾きとADXによるレンジフィルターに置き換えました。結果として、より汎用性が高く、異なる銘柄・時間足でも安定して機能する設計になっています。 V2からの主な変更点 削除したもの： Fast EMA / Slow EMA クロス → EMA1本の傾き判断に統合 Index Fast EMA / Index Slow EMA（OTHERS.D相関）→ 完全削除 RSIフィルター（過熱・売られすぎ判定）→ 削除（実質機能していなかったため） スケール調整パラメーター → 削除 追加したもの： ADXフィルター（期間14固定）→ 横ばい相場でのエントリーをスキップ EMA傾き判断 → EMAが上向きか下向きかでトレンド方向を判定 結果：パラメーター数を 13個 → 5個 に削減 パラメーターと推奨設定範囲 EMA期間 | デフォルト: 50 | 推奨範囲: 30〜100 ボラが高い銘柄は短め、安定銘柄は長め。 ATR倍率 | デフォルト: 4.0 | 推奨範囲: 2.5〜6.0 TP距離の基準。大きいほど利確ラインが遠くなる。 損切り(%) | デフォルト: -6.0 | 推奨範囲: -4〜-10 ボラが高い銘柄は広め、BTC/ETHはタイトでOK。 ADXしきい値 | デフォルト: 18.0 | 推奨範囲: 15〜28 高いほどレンジ除外が厳しく、トレード数が減り精度が上がる。 スイング検出期間 | デフォルト: 4 | 推奨範囲: 2〜14 小さいほどスイング高値・安値への感度が高くなる。 銘柄タイプ別おすすめ設定 ミーム系（DOGE・SHIBなど） EMA: 44〜55 / ATR倍率: 3.5〜5.0 / 損切り: -6〜-8% / ADX: 18〜22 / スイング: 3〜5 主要銘柄（BTC・ETH） EMA: 55〜80 / ATR倍率: 2.5〜4.0 / 損切り: -4〜-6% / ADX: 20〜25 / スイング: 5〜10 中堅アルト（SOL・SUIなど） EMA: 35〜55 / ATR倍率: 4.0〜5.5 / 損切り: -5〜-7% / ADX: 18〜23 / スイング: 4〜7 小型アルト EMA: 30〜50 / ATR倍率: 4.5〜6.0 / 損切り: -7〜-10% / ADX: 18〜22 / スイング: 3〜5 時間足別おすすめ設定 1〜5分足：ADXしきい値 15〜20（短期足はADXが低めになる傾向） 15分〜1時間足：ADXしきい値 18〜23 2〜4時間足：ADXしきい値 20〜25 エントリー条件 ロング：EMAが上向き AND ダウ理論トレンドが上昇 AND ADX > しきい値 ショート：EMAが下向き AND ダウ理論トレンドが下降 AND ADX > しきい値 イグジット条件 TP1：エントリーから +ATR×1 → 30%決済 TP2：エントリーから +ATR×2 → 30%決済 TP3：エントリーから +ATR×3 → 30%決済 損切り：設定%を超えたら全決済 トレンド反転：ダウ理論のスイングが逆転したら決済 チャートの見方 EMAライン：上向きのとき緑、下向きのとき赤に色が変わります グレー背景：ADXがしきい値を下回っている横ばいゾーン（このゾーンではエントリーしません） グラデーションゾーン：現在値からスイング高値・安値までの距離を視覚化 上位足表示：4時間足のスイングレベルを参考表示 このストラテジーは主に1時間〜4時間足の暗号資産トレンドフォローを想定して設計されています。実運用の前に必ずご自身の対象銘柄・時間足でバックテストを行ってください。過去の結果は将来の利益を保証するものではありません。
Pine Script® ストラテジー
mm_mitsuyaの投稿
SuperBands: Smart Pullback StrategyIndicator Name: SuperBands (Smart Pullback Strategy) 1. Core Concept (The Philosophy) This indicator represents a smart fusion of two powerful trading methodologies: Trend Following and Mean Reversion. Instead of trying to predict market tops or bottoms, it focuses on joining an established trend at a "Discount Price." In short: "Buy the dips in an Uptrend, and Sell the rallies in a Downtrend." 2. Technical Components The indicator consists of two main engines working in harmony: First: The Trend Filter (Supertrend): Settings: (ATR 20 / Factor 6.0). Function: Identifies the long-term market direction. The high Factor (6.0) is deliberately used to filter out noise and minor fluctuations, ensuring the trend direction only changes when there is a significant market shift. Rule: If the line is Green, only Long trades are allowed. If Red, only Short trades are allowed. Second: The Sniper (Bollinger Bands): Settings: (Length 20 / StdDev 2.0). Function: Identifies temporary Overbought and Oversold zones within the trend. Rule: The Lower Band acts as a "Value Zone" for buying, while the Upper Band acts as a "Premium Zone" for selling. 3. Signal Logic (How it Works) The indicator scans the market for specific, high-probability conditions: A. Buy Signal (Green Triangle): Appears only when both conditions are met: Trend is Bullish: Supertrend is Green. Price is "Cheap": Price drops to touch or break the Lower Bollinger Band. Logic: The general trend is Up, and the price has pulled back to a dynamic support level. This is a buying opportunity. B. Sell Signal (Red Triangle): Appears only when both conditions are met: Trend is Bearish: Supertrend is Red. Price is "Expensive": Price rises to touch or break the Upper Bollinger Band. Logic: The general trend is Down, and the price has rallied to a dynamic resistance level. This is a selling opportunity. 4. User Guide (How to Trade It) To achieve the best results, consider the following approach when a signal appears: A. Entry: Enter the trade immediately upon the close of the candle where the triangle appears (or place a pending order slightly above/below the signal candle for confirmation). B. Stop Loss (SL): Conservative: Place the SL at the Supertrend line (if this line breaks, the trend is invalid). Aggressive: Place the SL slightly below the signal candle's low or the most recent Swing Low. C. Take Profit (TP): Target 1: The Bollinger Bands Middle Line (Basis/SMA 20). Target 2: The Opposite Band (Upper Band for Buy signals, Lower Band for Sell signals). 5. Key Strengths & Limitations Main Advantage: This indicator prevents a common trader mistake: "FOMO" (Fear Of Missing Out). It stops you from buying at the top or selling at the bottom. It psychologically forces you to wait for the price to come to you. Best Use Case: The wide Supertrend settings make this highly effective for Crypto and Volatile Stocks where trends are strong and pullbacks are deep. Limitation: In tight, ranging markets (choppy markets), the price might not touch the bands often, or it might generate a signal followed by sideways movement. Summary for the Trader: This indicator tells you: "The trend is Up, but don't chase the price... wait for it to drop to the Lower Band, then strike." اسم المؤشر: SuperBands (Smart Pullback Strategy) 1. الفكرة الأساسية (الفلسفة وراء المؤشر) هذا المؤشر هو دمج ذكي بين استراتيجيتين شهيرتين: تتبع الاتجاه (Trend Following) و اقتناص الارتدادات (Mean Reversion). هو لا يحاول التنبؤ بقمة أو قاع السوق، بل يحاول الدخول مع الاتجاه العام القوي ولكن من "نقطة سعرية مخفضة" (Discount Price). باختصار: "اشترِ الانخفاضات في الاتجاه الصاعد، وبع الارتفاعات في الاتجاه الهابط". 2. المكونات التقنية يتكون المؤشر من جزأين رئيسيين يعملان كفريق واحد: أولاً: الحارس (Supertrend): الإعدادات: (ATR 20 / Factor 6.0). الوظيفة: تحديد الاتجاه العام "طويل المدى". استخدام العامل 6.0 (وهو رقم كبير) يجعل المؤشر يتجاهل التذبذبات الصغيرة ولا يغير لونه إلا إذا تغير الاتجاه الحقيقي للسوق بقوة. القاعدة: إذا كان الخط أخضر، يُسمح بالشراء فقط. إذا كان أحمر، يُسمح بالبيع فقط. ثانياً: القناص (Bollinger Bands): الإعدادات: (Length 20 / StdDev 2.0). الوظيفة: تحديد مناطق ذروة البيع والشراء المؤقتة (Overbought/Oversold) داخل الاتجاه. القاعدة: الحد السفلي يعتبر منطقة "رخيصة" للشراء، والحد العلوي منطقة "غالية" للبيع. 3. كيف تتكون الإشارة (آلية العمل) يقوم المؤشر بمسح السوق بحثاً عن شروط محددة بدقة: A. إشارة الشراء (المثلث الأخضر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه صاعد: السوبر تريند لونه أخضر. سعر مغري: السعر هبط ليلامس أو يكسر الحد السفلي للبولنجر باند (Lower Band). المنطق: الاتجاه العام صاعد، والسعر قام بعمل تصحيح (Pullback) لمستوى دعم ديناميكي، إذن هي فرصة للشراء بسعر أفضل. B. إشارة البيع (المثلث الأحمر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه هابط: السوبر تريند لونه أحمر. سعر مرتفع: السعر صعد ليلامس أو يخترق الحد العلوي للبولنجر باند (Upper Band). المنطق: الاتجاه العام هابط، والسعر قام بعمل تصحيح صعودي لمقاومة ديناميكية، إذن هي فرصة للبيع من مكان مرتفع. 4. كيفية الاستفادة منه (دليل المستخدم) لتحقيق أفضل نتائج، يُنصح باتباع الخطوات التالية عند ظهور الإشارة: أ. نقاط الدخول (Entry): ادخل الصفقة بمجرد إغلاق الشمعة التي ظهر عليها المثلث (أو ضع أمر معلق فوق/تحت الشمعة لتأكيد الحركة). ب. وقف الخسارة (Stop Loss): الخيار الآمن: ضع الوقف عند خط السوبر تريند (لأنه إذا كُسر الخط، يعني أن الاتجاه تغير). الخيار المغامر: ضع الوقف أسفل قاع الشمعة السابقة بمسافة بسيطة، أو أسفل آخر قاع (Swing Low). ج. جني الأرباح (Take Profit): الهدف الأول: خط المنتصف للبولنجر باند (الخط البرتقالي الخفي أو متوسط 20). الهدف الثاني: الحد المعاكس للبولنجر باند (الحد العلوي في حالة الشراء، والسفلي في حالة البيع). 5. مميزات وعيوب يجب الانتباه لها الميزة القوية: يمنعك هذا المؤشر من ارتكاب خطأ شائع وهو "الشراء في القمة" أو "البيع في القاع". هو يجبرك نفسياً على انتظار السعر ليأتي إليك في مناطق التصحيح. نقطة القوة: إعدادات السوبر تريند (6.0) تجعل الإشارات قوية جداً في العملات الرقمية (Crypto) والأسهم ذات الاتجاه الواضح (Trending Markets). نقطة الضعف: في الأسواق العرضية المملة (Ranging Markets) ذات النطاق الضيق جداً، قد لا تلمس الأسعار حدود البولنجر كثيراً، أو قد يعطي إشارات دخول والسوق لا يتحرك بعدها بقوة. ملخص للمتداول: هذا المؤشر يقول لك: "السوق صاعد، لكن لا تطارد السعر.. انتظر حتى يهبط السعر إليك عند الخط السفلي ثم اشترِ".
Pine Script® インジケーター
abdelhadi-salahの投稿
1
Future Swing [BigBeluga]🔵 OVERVIEW Future Swing is a swing-based projection tool that estimates the potential size and price target of the next swing move using historical swing behavior. Instead of predicting direction randomly, it analyzes completed swing legs, measures their percentage moves, and projects a statistically derived swing target into the future. The indicator combines swing structure, high/low zones, volume context, and a real-time dashboard to help traders anticipate where price may travel next. 🔵 CONCEPTS Swing Detection — Swing highs and lows are identified using a configurable lookback length. Swing Percentage Tracking — Each completed swing leg is converted into a percentage move and stored. Statistical Projection — Future swing size is estimated using Average, Median, or Mode of past swing percentages. Directional Awareness — Projections adapt automatically based on current swing direction. 🔵 FEATURES Historical Swing Sampling — • Uses a user-defined number of completed swings. • More samples = smoother projection, fewer samples = faster adaptation. Future Swing Projection — • Dashed line projects the estimated swing target forward in time. • Projection distance is visual-only and does not affect calculations. High/Low Swing Zones — • Upper and lower swing zones expand using ATR distance. • Zones visualize potential reaction and rejection areas. Volume Context per Swing — • Buy and sell volume are accumulated during each swing leg. • Delta and total volume are displayed in the dashboard. Smart Dashboard — • Displays each stored swing percentage. • Shows calculated swing projection value. Flexible Projection Method — • Average: smooth and balanced. • Median: filters out extreme outliers. • Mode: focuses on the most common swing size. Extendable Zones — • Swing zones can optionally extend forward indefinitely. 🔵 HOW TO USE Anticipate Swing Targets — Use the projected swing line as a probabilistic price objective. Combine with Structure — Align projections with support, resistance, or liquidity zones. Filter by Volume — Confirm swing quality using delta and total volume metrics. Adjust Sensitivity — Tune swing length and historical sample size to match timeframe and volatility. Context, Not Certainty — Use projections as guidance, not fixed take-profit levels. 🔵 CONCLUSION Future Swing transforms past swing behavior into a forward-looking projection model. By combining swing structure, statistical aggregation, ATR zones, and volume analysis, it offers traders a structured way to estimate where the next meaningful price move may reach — without relying on fixed targets or subjective assumptions.
Pine Script® インジケーター
BigBelugaの投稿
22
Linear Regression Channel with Multi Sigma and Multi Time FrameThis indicator applies multi-sigma linear regression across multiple institutional time horizons to quantify the line of best fit in equities and index markets. By combining multi-timeframe presets with statistically derived deviation bands, it highlights trend structure, volatility expansion, and regime transitions with clarity. Features Auto-Multi-Timeframe presets map directly to institutional trend horizons (daily, weekly, monthly) for accurate regime detection. Multi-Sigma bands (+/-1, +/-2, +/-3) reveal volatility structure, trend strength, and statistical extremes. The regression line uses a true least-squares calculation, recalculated each bar for precise trend alignment. Deviation mode allows switching between standard deviation and max deviation to support different volatility models. A linked PDF on GitHub provides full documentation, derivations, and institutional use-case examples. More Information Can Be Found Here: github.com
Pine Script® インジケーター
followmytradingjournalの投稿
Auction Session Ranges (AMT Edition) [ Alerts] Auction Session Ranges (AMT Edition) ► Overview The Session Ranges ( AMT Edition) is a session-based market structure and auction analysis tool designed to visually reveal acceptance, rejection, imbalance, and continuation across the Asia, London, and New York CME trading sessions. Unlike typical indicators, this script is grounded in Auction Market Theory (AMT) and session-based structure, focusing on how price behaves at session extremes rather than relying on lagging calculations, oscillators, or predictive algorithms. Its purpose is to highlight areas where the market has earned the right to be traded, providing traders with a clear, rules-based framework for high-probability directional trades. Important for backtesting: To properly backtest session extremes, Interaction Lines, and Closest Opposite Extreme Lines, you must use TradingView’s replay mode, as real-time bar-by-bar progression is required to observe how the market interacts with session extremes over time. ► Key Innovations This is not a conventional session high/low indicator. Its originality comes from several unique design elements: Differentiates interaction from true acceptance: Price touching an extreme does not automatically indicate directional intent. Separates directional confirmation from range-bound indecision: Only confirmed crossings beyond the Interaction Line signal actionable bias. Tracks failed auctions and partial acceptance: No volume profile or order book data required. Visual, rule-based trade permission: Signals are objective, minimizing subjective interpretation. Interaction & Closest Opposite Extreme Lines: Together, these lines map how far an auction progresses after an extreme is tested, highlighting continuation, partial acceptance, or failed auctions. ► Core Concepts Explained 1. Session Highs & Lows (Solid Lines) Plotted continuously for each CME session (Asia, London, New York). Represent the current auction boundaries for that session. 2. True Interaction Lines (Thick Dotted Lines) Drawn when price touches or breaks a session extreme: Touching session high → dotted line at the low of that candle Touching session low → dotted line at the high of that candle Auction context: Touching alone ≠ acceptance Acceptance occurs only when price moves beyond the Interaction Line and holds Trading principle: Price has not crossed → no directional bias → do not trade Price crosses and holds → directional bias established 3. Acceptance vs Rejection Accepted direction: Price crosses and holds beyond the Interaction Line Rejected direction: Price crosses the line but immediately reverses Neutral / No-Trade: Price trapped between extreme and Interaction Line Important: Acceptance is conditional and dynamic. Each time price crosses back over the Interaction Line, acceptance is lost. 4. New Extremes = Continuation Once an Interaction Line is crossed, each new session extreme in that direction reinforces the trend. Traders should only look for continuation setups along the established directional bias. AMT interpretation: Repeated new extremes → directional imbalance Failure to make new extremes → potential balance or rotation 5. Closest Opposite Extreme Lines (Thin Dotted Lines) After acceptance, the script tracks price progress toward the opposite session extreme. Plotted only if price reaches a user-defined percentage of the session range. Helps identify: Full acceptance (price reaches opposite extreme) Partial acceptance (price stalls) Failed auctions (price cannot progress meaningfully) Trading guidance once Closest Lines appear: Partial acceptance: Price stalls near the Closest Line but does not fully reach the opposite extreme → bias remains valid, but the move may be weakening; consider scaling out or tightening stops. Full acceptance: Price reaches the opposite extreme → directional auction fully confirmed; bias continues, but expect potential rotation or balance afterward. Failed auction (cannot progress meaningfully): Price reverses before reaching the Closest Line → signals exhaustion; avoid chasing the move and treat as potential trend failure. Note: Only relevant after Interaction Line is crossed; if price never crosses the Interaction Line, Closest Lines have no trading significance. ► Step-by-Step Usage Wait for a session extreme Let price interact with the session high or low. Observe the Interaction Line No cross → do not trade Cross and hold → directional bias established Trade in the direction of new extremes only Ignore counter-trend trades unless the Interaction Line is lost Manage risk using structure Interaction Line acts as a dynamic invalidation level Use Closest Lines for context Partial acceptance → bias valid, watch for weakening Full acceptance → bias strong, continuation likely Failed attempt → potential exhaustion, do not chase Useful for trade management, scaling, and expectation setting ► Price Retests & Pullbacks Scenario: Price crosses above the Interaction Line (e.g., from a low interaction). Over the next 3–4 15-minute bars, price dips back toward the Interaction Line, with wicks touching it but no decisive close below. Interpretation: Initial Acceptance Confirmed: Bias remains valid while price holds above/below the line. Temporary Pullback / Retest: Market is re-evaluating the auction; testing participant agreement. Wicks Touching the Line: Partial probing or liquidity sweep; market still respects original acceptance. Trading Implication: Continuation bias remains intact. Pullbacks near the Interaction Line offer lower-risk entries. Decisive close below → acceptance lost, signaling trend failure or invalidation. Market Psychology: Healthy auction behavior: extreme tested → acceptance confirmed → boundary retested for liquidity → continuation. Failure to hold above signals weak acceptance or exhaustion. ✅ Key Takeaways: Holding above Interaction Line → bias intact, pullback = opportunity Closing below Interaction Line → acceptance lost, bias invalidated Wicks touching only → normal retest, still valid ► No-Trade Conditions Avoid trading when: Price never crosses the Interaction Line Price remains trapped between the extreme and the Interaction Line Market rotates without forming new extremes These indicate balance, not directional opportunity. ► Alerts Optional alerts trigger when price crosses an Interaction Line for: Asia session London session New York session Alerts signal possible acceptance, not automatic trade entries. ► Who This Script Is For Best suited for traders who: Trade session structure in futures, indices, or FX Follow Auction Market Theory principles Prefer objective, rules-based confirmation Want fewer but higher-quality trade opportunities Not intended for: Indicator stacking Predictive trading High-frequency scalping without structure ► Final Notes This script does not tell you when to buy or sell. It shows where the market has earned the right to be traded. Use it as a decision filter, not a prediction engine.
Pine Script® インジケーター
samb817の投稿
4