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Whale Liquidity and Absorption Profile [AlgoAlpha]🟠 OVERVIEW The Whale Liquidity and Absorption Profile maps intrabar buying, selling, delta, and absorption activity into stacked horizontal profiles. It samples lower timeframe volume data inside each chart candle, then groups that activity into price bins to show where aggressive participation and absorption occurred across a configurable lookback range. The script separates strong and weak activity using a percentile-based strength filter. It also builds a delta heatmap, absorption profile, historical absorption heatmap, and local absorption zones. Together, these components help traders identify where liquidity entered the market, where imbalance formed, and where price may react again. 🟠 CONCEPTS Intrabar Sampling — Lower timeframe volume and directional data are requested using request.security_lower_tf() to reconstruct buying and selling activity inside each chart candle. Strength Filter — Intrabar volume samples are ranked by percentile. Volumes above the selected percentile threshold are classified as strong activity while lower values are treated as weak activity. Delta Profile — Buy volume minus sell volume calculated per price bin. Positive delta shows aggressive buying while negative delta shows aggressive selling. Absorption Volume — Bullish volume occurring in upper wicks and bearish volume occurring in lower wicks. This is used to estimate where opposing liquidity absorbed incoming pressure. Price Bins — The full price range inside the lookback is divided into vertical bins. All volume, delta, and absorption calculations are aggregated into these bins. Absorption Peaks — Local highs in the absorption profile compared against neighboring bins. These areas are drawn as support and resistance zones. 🟠 FEATURES Multi-Layer Volume Profile — Displays stacked buying and selling activity across price levels. • Separates strong bullish, weak bullish, weak bearish, and strong bearish volume. • Optional strong-only mode hides weak participation and normalizes the profile using only strong activity. Delta Heatmap — Displays signed delta values directly inside each profile cell. • Positive delta highlights dominant buying pressure. • Negative delta highlights dominant selling pressure. Absorption Profile — Aggregates wick-based absorption activity into a separate horizontal profile. (Buys at high wicks, Sells at low wicks) Historical Absorption Heatmap — Creates rolling 5-bar heatmap snapshots to show where historical absorption accumulated over time. Absorption Zones — Detects local absorption peaks and projects them across the chart as potential reaction areas. Strong Activity Bubbles — Marks the strongest intrabar buying and selling events directly on price using percentile-ranked bubble tiers. 🟠 HOW TO USE Load 2 instances of the indicator to bypass box drawing limits and use both the Absorption heatmap and the profiles. Watch for stacked strong bullish volume combined with positive delta — this can show aggressive participation entering a price region. Watch for stacked strong bearish volume combined with negative delta — this can show heavy selling pressure dominating a level. Use absorption zones as areas where price previously encountered opposing liquidity — these zones may act as future reaction points. Compare delta against absorption — strong positive delta with heavy upper-wick absorption can indicate trapped buyers or resistance. Use the historical absorption heatmap to locate repeated liquidity interaction zones that price continues to respect over time. Increase profile resolution for tighter price detail and reduce it for broader structural zones. Enable strong-only mode to isolate high-participation liquidity events and remove weaker intrabar activity from the profile. 🟠 CONCLUSION Whale Liquidity and Absorption Profile combines intrabar volume profiling, delta analysis, and wick-based absorption detection into a single structured framework. The indicator separates strong and weak participation while mapping where liquidity was absorbed across price levels. This gives traders a clearer view of imbalance, participation strength, and potential reaction zones inside the current market structure.
อินดิเคเตอร์ Pine Script®
โดย AlgoAlpha
2
MTF Structure & Bias [BETA] | OMSF This is a professional-grade market structure interface designed for Daytraders and Swingtraders . It provides a high-clarity view of market mechanics by filtering out noise and focusing on validated structural shifts across multiple timeframes. Eliminate Emotional Decision-Making The core mission of the OMSF Framework is to solve the fundamental problem of trading: Emotion. By projecting clear, rules-based logic directly onto your screen , this interface removes the "guesswork" from your process. Key Functionality: Structural Interpretation: The script translates raw price action into defined market trends. It distinguishes between Uptrend, Downtrend, and Sideways ranges based on validated structural levels. Bias Derivation: A rule-based trading bias is derived by aligning higher timeframe structure with a regime filter. Calibration: Optional background colors visualize these internal decision rules. This allows for an objective check of how parameters affect the classification of market phases. Core Logic & Bias Derivation The script follows a systematic hierarchy to determine the market state and trading bias: 1. Structural Raw Bias (HTF) The primary direction is derived from the Higher Timeframe (HTF) market phases. If the structure is in an expansion or correction phase, it is assigned a directional value: • Long (+1): Bullish Expansion or Bullish Correction. • Short (-1): Bearish Expansion or Bearish Correction. • Neutral (0): No clear structural phase. 2. EMA Regime Filter To ensure trend alignment, a "Regime Lock" is applied. A structural bias is only validated as an Uptrend or Downtrend if the price remains on the correct side of the EMA. If the structural bias and EMA alignment contradict each other, the market is classified as Sideways. 3. Trading Bias & Risk Assessment The final trading bias (Long/Short) is then cross-referenced with the current price range: • Trend Continuation: If the HTF is trending and the market is not overextended, the bias follows the trend. • Counter-Trend Awareness: If the HTF is "Extended ⚠️" (overheated) and the Lower Timeframe (LTF) shows a correction, the bias reflects a potential mean reversion or temporary shift. • Sideways Handling: In sideways markets, the bias remains neutral unless specific range conditions are met. Configuration & Visual Feedback The settings menu includes the standard parameters from the OMSF framework . To better understand their impact, it is recommended to use the Background Colors feature: Real-time Calibration: Adjust parameters like ATR thresholds or momentum filters and observe how the background colors shift. Visual Consistency: The background colors correspond directly with the status indicators on the Dashboard, providing a unified view of the current market phase. Logical Mapping: This allows you to see exactly where the framework switches its interpretation based on your specific settings. For a deep dive into the underlying logic of these variables, please refer to the core library documentation: 🔗https://www.tradingview.com/script/g1122Yj2/ Systematic Consistency (Educational Core) The primary goal of this implementation is to demonstrate how a rule-based framework enables a trader to make the same decisions under the same market conditions. Objective Strategy Testing: By using fixed structural definitions, you can test strategies on a foundation that does not change based on intuition or emotion. Repeatability: Once a valid strategy is identified, the framework ensures that the entry and exit conditions remain objective and repeatable over any number of trades. Condition-Based Execution: This approach shows that professional trading is not about predicting the future, but about reacting consistently to predefined market states. Dashboard Logic & Layout The dashboard acts as a real-time monitor for the Multi-Timeframe (MTF) analysis, organized into two primary data columns: Left Column (Higher Timeframe): ◦ Market Stage: Displays the structural trend (Uptrend, Downtrend, or Sideways) derived from the HTF. ◦ Market State: Real-time feedback on the specific OMSF phase (Expansion/Correction). ◦ Price Range: Volatility-based assessment of the current price extension. Right Column (Lower Timeframe & Confluence): ◦ Trading Bias: Shows the final confluence signal. It aligns the HTF structure with the internal regime filter and risk parameters to provide a clear directional bias. ◦ LTF Dynamics: Parallel monitoring of the execution timeframe's state and price range. Visual Indicators: All colors on the dashboard are synchronized with the Visual Calibration (Background Colors). This ensures that the information on the dashboard is always reflected by the logic projected onto the chart. Visual Structure Tools Lines and boxes are rendered using functions from the Visual Structure Tools library: Orange Box: Automatically drawn when compress.htf == true. Logic: This highlights unconfirmed, tight structures (where omsfHigh is not yet a confirmed strHigh), which often mark the starting point of impulsive breakouts. Documentation: For a detailed breakdown of how levels and boxes are calculated, refer to the library documentation: 🔗https://www.tradingview.com/script/RYljd98y/ I release my frameworks to the community to validate the OMSF logic against real-world volatility. This live feedback loop is essential for refining the code and ensuring the framework remains resilient and reliable across all market conditions. Made in Germany 🇩🇪 with a focus on logic and precision. Disclaimer For Educational Purposes Only. The information and tools provided in this script are for educational and demonstration purposes only and do not constitute financial, investment, or trading advice. • No Guarantees: Past performance is not indicative of future results. Trading involves significant risk, and most individual traders lose money. • Not a Signal Service: This script is a technical framework designed to assist in market structure analysis. It is not an automated trading system or a signal provider. • Risk Responsibility: The author (arnipoer) assumes no liability for any financial losses resulting from the use of this script. Always perform your own due diligence and use a demo account before risking real capital. • Beta Software: This is a demo/beta version. Logic and visual representations are subject to change and should be verified against your own analysis.
อินดิเคเตอร์ Pine Script®
โดย arnipoer
2
LWS Cross Structure Levels (CSL)Cross Structure Levels (CSL) Cross Structure Levels (CSL) is a structural tool designed to help visualize moving average crosses in a more practical way. In many trading environments, moving average crosses are used as a confirmation of directional bias. However, these events are often missed in real time, and the subsequent price movement develops after the initial cross. This script transforms those crosses into horizontal levels, allowing traders to track how price interacts with them over time. Concept A cross between a fast and a slow moving average is treated as a structural event The closing price of that cross is plotted as a horizontal level That level extends forward and can act as a reference for price behavior Instead of reacting to the cross itself, CSL helps observe how price behaves around that level afterward. Important Clarification A moving average cross is not a trading signal by itself The plotted level is not an entry or exit signal It is a contextual reference that may help confirm market conditions Key Features Choice between EMA and SMA Customizable lengths (default 9/21) Multi-timeframe cross detection (e.g., using 3m or 5m crosses on a 1m chart) Session filtering (New York session by default) Option to display only current session/day Automatic removal of outdated or broken levels Optional retest labeling How to Use Use levels as contextual references, not as standalone signals Observe reactions when price returns to a level after a cross Combine with other tools such as VWAP, opening ranges, or support/resistance Focus on price behavior rather than the cross itself Notes This script is designed for intraday analysis Different moving average settings may produce different results Best used as part of a broader trading framework Release Notes - CSL Initial release of Cross Structure Levels (CSL) Converts moving average crosses into horizontal levels Supports EMA and SMA with customizable lengths Multi-timeframe cross detection Session filtering and today-only mode Smart cleaning of outdated levels Automatic removal of broken levels Optional retest detection Visual customization options
อินดิเคเตอร์ Pine Script®
โดย mlicero
3
Smart Quant Money Execution Signals [Rehankhanani]The Smart Quant Money Execution Signals indicator is a powerful multi-factor trading system designed to help traders identify high-probability market opportunities using institutional-grade logic. This indicator combines trend, momentum, strength, and price structure into a single unified framework, eliminating the need to rely on multiple separate tools. Built using a 5-factor confirmation model, the system integrates EMA trend analysis, RSI momentum, ADX strength, MACD confirmation, and Smoothed Heiken Ashi (SHA) to filter out low-quality setups and highlight only strong trading conditions. Unlike traditional indicators that rely on a single signal, this system uses a scoring-based probability engine, ensuring that trades are only generated when multiple confirmations align. This significantly improves signal quality and reduces noise in volatile markets. ⚙️ Key Features ✔ Multi-Factor Signal Engine (EMA + RSI + ADX + MACD + SHA) ✔ Smart Probability Scoring System (0% – 100%) ✔ Strong Buy / Sell Signals (80%+ Confidence) ✔ Automatic Entry, Stop Loss, and Take Profit Levels ✔ Dynamic Risk-to-Reward Ratio Calculation ✔ Smoothed Heiken Ashi for Trend Clarity ✔ Real-Time Professional Dashboard ✔ Clean BUY / SELL Labels on Chart ✔ Candle Highlighting for Signal Confirmation 🎯 How It Works The indicator evaluates 5 core market conditions: 📈 Trend Direction (EMA 9/21) 📊 Momentum (RSI) 📉 Trend Strength (ADX) 🔄 Momentum Confirmation (MACD) 🕯️ Price Structure (Smoothed Heiken Ashi) Each condition contributes 20% to the overall score, creating a total probability rating: 80% – 100% → Strong Trade Signal 60% – 80% → Moderate Setup Below 60% → No Trade / Low Probability Signals are only triggered when multiple factors align, ensuring higher reliability. 💡 Advantages of This Indicator 🔹 Reduces False Signals By combining multiple indicators, the system filters out weak setups and focuses only on high-quality trades. 🔹 Institutional-Level Logic This is not a basic crossover system — it mimics how professional traders analyze markets using confluence. 🔹 All-in-One Solution No need to switch between multiple indicators — everything is integrated into one clean system. 🔹 Clear Trade Execution Entry, Stop Loss, and Take Profit levels are automatically calculated, helping traders manage risk effectively. 🔹 Improved Trend Clarity Smoothed Heiken Ashi removes market noise and makes trend direction easier to identify. 🔹 Probability-Based Decision Making Instead of guessing, traders can rely on a structured probability model. 🧠 Best For ✔ Intraday Traders ✔ Swing Traders ✔ Crypto / Forex / Indices / Stocks ✔ Traders looking for high-probability setups ✔ Traders who prefer structured decision-making ⚠️ Important Note This indicator is designed to assist decision-making and does not guarantee profits. Always apply proper risk management and trading discipline. "Trade smarter, not harder — let multi-factor confirmation guide your decisions with precision and confidence."
อินดิเคเตอร์ Pine Script®
โดย rehankhanani
1
Smart Money Concepts [Quantum Algo]Smart Money Concepts is a Pine Script v5 indicator that detects market structure shifts, volumetric order blocks, fair value gaps, liquidity sweeps, equal highs and lows, and premium/discount zones using the Smart Money Concepts methodology. It tracks BOS and CHoCH events on confirmed swing pivots, grades each order block A/B/C by displacement quality, scores overall confluence on a 0–100 scale across chart and higher timeframes, and visualizes institutional buy/sell activity directly inside each order block. The script is open-source. All structural signals are confirmed on bar close and do not repaint. ═══════════════════════════════════════════════════════════════════════ HOW IT WORKS ═══════════════════════════════════════════════════════════════════════ 1. Swing pivot detection. Pivots are identified using a fixed-length lookback (default 50 bars). A swing high confirms when the bar at index n has the highest high in the surrounding window; a swing low confirms symmetrically. Each confirmed pivot is stored as a single mutable reference point and labeled HH/HL/LH/LL based on its relationship to the previous pivot of the same type. The pivot length is configurable from 10 to 200 bars to control structural sensitivity. 2. BOS and CHoCH detection. A break of structure fires on ta.crossover(close, swingHigh) for bullish continuation, and ta.crossunder(close, swingLow) for bearish continuation. A change of character is identified when the break occurs against the prevailing bias (bullish break during bearish trend, or vice versa). Each pivot carries a crossed flag that prevents the same level from re-triggering structural breaks. An optional toggle requires a recent liquidity sweep before validating any structural break — off by default for standard SMC behavior. 3. Liquidity sweep markers. When a candle wick pierces a swing high or swing low but the close returns inside the prior range, a sweep marker (×) is drawn at the wick extreme. This identifies stop-hunts and false breakouts in real time, and feeds the sweep-validation toggle in the structure logic. 4. Volumetric order blocks with quality grades. When a structural break fires, the script scans backward for the most recent opposite-direction candle and scores it 0–100 across three weighted components: body-to-range ratio (30%), ATR-normalized displacement of the breakout leg (45%), and volume relative to the 20-bar volume average (25%). The score maps to a letter grade — A (≥75), B (≥55), or C — displayed inside the order block. A minimum-grade filter excludes lower-quality blocks before they render. 5. Activity split inside order blocks. Each unmitigated order block displays two internal sub-zones: a buy-activity band (upper half) and sell-activity band (lower half), advancing rightward over time. The activity columns visualize the directional pressure since the block formed, scaling proportionally to the bars elapsed since origin. 6. Order block to breaker conversion. When price closes through an order block (configurable: close or wick mitigation source), the block is removed from the active array. This keeps the chart focused on currently-relevant zones rather than accumulating mitigated history. 7. Fair value gap detection with mid-line. A bullish FVG forms when low > high and the gap exceeds the threshold (default 0.5 × ATR). Bearish FVGs are symmetric. Each FVG renders as a transparent box with an optional dotted mid-line marking the 50% retrace level. FVGs are removed from the active array when fully filled. 8. Premium / Discount / Equilibrium zones. Drawn between the two most recent confirmed swing extremes. Premium occupies the upper 5% of the swing range; Discount occupies the lower 5%; Equilibrium spans the middle 5% (47.5%–52.5%). The zones re-anchor on every new swing extreme, staying tight to the current structural leg rather than drifting across the entire chart history. 9. Equal highs and lows (EQH / EQL). Detected when a finer-grained pivot (default 3-bar confirmation) is within an ATR-scaled threshold of the previous same-type pivot. Marks levels where liquidity is likely to accumulate. 10. Composite confluence score (0–100). Computed every bar from five weighted components: chart bias (25%), HTF agreement across three configurable timeframes (25%), proximity to nearest unmitigated order block on the bias side (20%), price position relative to premium/discount equilibrium (15%), and recent sweep activity (15%). Displayed in the dashboard with color-graded background — green ≥70, gold ≥50, amber ≥30, red below. ═══════════════════════════════════════════════════════════════════════ WHAT'S ACTUALLY DIFFERENT ═══════════════════════════════════════════════════════════════════════ ◆ Composite confluence score replaces single-factor signals. Most SMC scripts give one piece of information at a time — bias, OB position, FVG location — and leave the trader to weigh them. This script combines five weighted SMC factors into a single 0–100 score that updates every bar, making it possible to filter trades by confluence threshold rather than reading multiple sub-indicators visually. ◆ Order blocks are graded, not just detected. Standard implementations mark every candle that meets the basic OB criteria, producing chart clutter. Here, every candidate is scored on body ratio, displacement strength, and relative volume. The grade is visible inside the block, the threshold is user-configurable (A / B / C), and only zones with institutional-quality signatures are rendered. ◆ Buy/sell activity columns inside order blocks. Each unmitigated OB displays two internal sub-zones that advance rightward over time, showing directional pressure since the block formed. Standard SMC scripts render OBs as flat shaded boxes. The activity split provides a visual proxy for whether the zone is being absorbed or rejected. ◆ Multi-timeframe agreement scoring built in. Most SMC scripts operate purely on the chart timeframe. This one fetches bias on three configurable higher timeframes and weights their agreement into the confluence score, surfacing HTF-aligned setups without requiring a separate top-down workflow. ◆ Optional sweep-validated structure breaks. A toggle requires a liquidity sweep of the opposing extreme within a configurable window before validating any BOS or CHoCH. Off by default to preserve standard SMC behavior; on for traders who want to filter out weak breaks that fail within 1–3 bars. ═══════════════════════════════════════════════════════════════════════ RECOMMENDED SETTINGS ═══════════════════════════════════════════════════════════════════════ Forex majors (EUR/USD, GBP/USD, USD/JPY) — 1H to 4H: Pivot Length 50, Min OB Grade B, FVG Threshold 0.4 × ATR, Sweep Confirmation off, HTF set to 4H/Daily/Weekly. Optimized for session-driven moves around London and New York opens where structural levels respect institutional liquidity zones. Crypto perpetuals (BTC, ETH, SOL) — 15M to 1H: Pivot Length 30, Min OB Grade B, FVG Threshold 0.5 × ATR, Sweep Confirmation on, HTF set to 1H/4H/Daily. Tuned for 24/7 markets with higher noise floors and frequent stop-hunts on lower timeframes — sweep validation removes the bulk of false breaks. Gold (XAUUSD) — 1H to 4H: Pivot Length 40, Min OB Grade A, FVG Threshold 0.5 × ATR, Sweep Confirmation on, HTF set to 4H/Daily/Weekly. Designed for the elevated wick activity around US session open and the tendency for sharp sweeps before directional moves. Indices (SPX, NDX, DAX) — 5M to 1H: Pivot Length 20, Min OB Grade B, FVG Threshold 0.3 × ATR, Sweep Confirmation off, HTF set to 1H/4H/Daily. Tuned for cash-session structure and the typical post-open reversal patterns where sweeps cluster within the first 90 minutes. Higher-timeframe swing trading (any market) — 4H to Daily: Pivot Length 100, Min OB Grade A, FVG Threshold 0.7 × ATR, Sweep Confirmation off, HTF set to Daily/Weekly/Monthly. Reduces noise to the highest-conviction structural signals only. ═══════════════════════════════════════════════════════════════════════ ALERTS & OUTPUTS ═══════════════════════════════════════════════════════════════════════ Alerts available: Bullish CHoCH confirmed at swing high Bearish CHoCH confirmed at swing low Bullish BOS confirmed (continuation of bullish trend) Bearish BOS confirmed (continuation of bearish trend) Bullish order block mitigated Bearish order block mitigated New bullish fair value gap formed New bearish fair value gap formed Liquidity sweep detected at swing high Liquidity sweep detected at swing low On-chart visuals: Solid lines for BOS, dashed lines for CHoCH, with text labels at the midpoint Volumetric order block boxes with letter grade and volume metric Buy-activity and sell-activity sub-zones inside each unmitigated order block Fair value gap boxes with optional dotted mid-line Premium / Discount / Equilibrium shaded zones bounded by the most recent swing extremes Equal highs and equal lows marked with EQH / EQL labels and dotted connecting lines Strong High / Weak High and Strong Low / Weak Low labels at trailing extremes Liquidity sweep × markers at wicks that pierce and close back inside swing levels Multi-section dashboard with confluence score, chart bias, structural state, current price zone, HTF agreement, and active zone counts Optional candle coloring by current trend bias ═══════════════════════════════════════════════════════════════════════ NOTES ═══════════════════════════════════════════════════════════════════════ Pine Script version: v5. Repainting: All structural signals (BOS, CHoCH, order blocks, sweep markers) are evaluated on confirmed bar close and do not repaint. Swing pivots are confirmed retroactively after the lookback window completes, which is standard behavior for any pivot-based system and is disclosed here for transparency. Compatibility: Works on all symbols and timeframes available in TradingView. Optimized for forex majors, crypto perpetuals, gold, and major indices. Functions on stocks but the volume-grading component may require threshold adjustment for low-volume tickers. Open-source: This script is open-source. Clone, study, and modify it freely under the terms of TradingView's House Rules. Republishing the source under a different name is not permitted. Credits: This indicator's logic is independently developed. The general SMC framework references the broader Smart Money Concepts methodology popularized by ICT and the trading community. The composite confluence scoring, A/B/C order block grading, buy/sell activity split, and dashboard architecture are original implementations. Disclaimer: This indicator is provided for educational and analytical purposes. Trading involves substantial risk of loss. Past performance does not guarantee future results. Position sizing and risk management are the trader's sole responsibility. Nothing in this script or description constitutes financial advice.
อินดิเคเตอร์ Pine Script®
โดย Quantum-Algo
Volume Weighted Median Oscillator [AlgoAlpha]🟠 OVERVIEW This script measures price movement relative to a volume-weighted median instead of a simple average. It builds an oscillator that reflects where price is positioned compared to the level where most trading activity is concentrated. This helps reduce the effect of outliers and highlights more balanced price zones. The output combines a momentum histogram and a smoothed oscillator line, both normalized by recent price range. It also includes a signal line and visual zones to show when price is stretched relative to its volume-based center. 🟠 CONCEPTS Volume-Weighted Median — The price level where half of the traded volume occurred above and half below within the lookback window. Normalized Momentum — The difference between current price and the weighted median, divided by an average price range to keep values comparable across markets. Median Trend Deviation — The distance between the median and its longer-term EMA, used to define the main oscillator direction. Volume Normalization — Current volume divided by its moving average to highlight periods of higher activity. Signal Line — An EMA of the oscillator used to track short-term direction changes. 🟠 FEATURES Dual Output Structure — Combines histogram and oscillator line. • Histogram shows short-term momentum shifts. • Oscillator line reflects broader deviation from median trend. Optional Smoothing — Applies WMA smoothing to reduce noise in both outputs. Dynamic Ribbon — Visual fill between oscillator and signal line. • Changes color based on direction. • Intensity reflects strength of separation. Overbought and Oversold Zones — Gradient fills beyond defined thresholds. • Expands visually as extremes increase. • Helps identify stretched conditions. Volume-Aware Zero Line — Brightness increases when current volume exceeds its average. Volume-Weighted Median Core — Uses sorted price and volume arrays to compute a true weighted median. • Reduces sensitivity to spikes compared to mean-based indicators. • Anchors calculations to where trading activity is concentrated. Built-in Alerts — Includes conditions for crosses, zone entries, and ribbon flips. 🟠 HOW TO USE Watch the histogram crossing above or below zero — shows short-term momentum shifts relative to the median. Use the main oscillator crossing zero — indicates broader directional bias change. Track crosses between the oscillator and its signal line — helps identify early trend shifts. Observe entries into extreme zones — signals that price is stretched relative to its volume center. Pay attention to ribbon color changes — confirms alignment between momentum and trend. Check zero line brightness — higher brightness suggests stronger participation behind moves. 🟠 CONCLUSION Volume Weighted Median Oscillator combines a volume-based median, normalized momentum, and trend deviation into one view. It focuses on where trading activity is concentrated instead of simple averages. This gives a clearer read on price imbalance and helps traders judge when moves are supported or stretched.
อินดิเคเตอร์ Pine Script®
โดย AlgoAlpha
8
Wedge Reversal Detector [AGPro Series]Wedge Reversal Detector 🔷 Overview Wedge Reversal Detector is a focused chart-pattern engine built for one specific structure: the rising wedge and falling wedge. Instead of scanning every possible reversal pattern, drawing broad support and resistance, or behaving like a generic breakout dashboard, this script studies the geometry of a wedge itself: confirmed pivot boundaries, slope convergence, pattern maturity, reversal break quality, projected reaction zone, and invalidation context. The goal is to make wedge analysis cleaner and more objective on a live chart. A valid wedge is not treated as just two random trendlines. The script requires a confirmed pivot structure, a meaningful initial width, a narrowing final width, and the correct slope relationship for either a rising wedge or a falling wedge. Once a qualified structure is active, it draws the converging boundaries directly on the chart and waits for a reversal-side break. The detector also includes two visual preparation layers. The developing-wedge preview layer can draw dashed boundaries before the structure is fully armed. The Wedge Radar layer keeps the latest compression window visible when no confirmed candidate is active. Radar projection is capped so higher-timeframe charts stay clean, and low-compression radar states can remain boundary-only until the structure becomes visually meaningful. Break labels, reaction zones, and invalidation guides remain reserved for stricter confirmed candidates. This keeps the chart visually informative without weakening the actual confirmation logic. The visual layer includes compact boundary tags that label the upper and lower rails directly on the right side of the structure. These tags are designed as chart annotations, not signal spam: they identify whether the rail is acting as a rejection rail, compression rail, reclaim rail, break rail, or invalidation rail. A single optional compression tag can also summarize the current radar or wedge state. 🔶 Why This Is Different Many wedge indicators stop at pattern drawing. Others become broad pattern scanners that mix wedges with channels, double tops, double bottoms, triangles, support and resistance zones, and unrelated reversal signals. Wedge Reversal Detector intentionally stays narrower. Its edge is the sequence: 1. Detect a qualified rising or falling wedge from confirmed pivots. 2. Measure whether the boundaries are genuinely converging. 3. Grade wedge maturity before any break occurs. 4. Confirm the reversal-side break with an optional close-based rule and ATR buffer. 5. Score break quality using maturity, boundary expansion, candle structure, close location, and volume participation. 6. Project a concept-native reaction zone from the wedge width. 7. Display a clean invalidation guide so the structure remains readable after the break. This makes the script a wedge lifecycle tool, not a general reversal scanner. 💎 Unique Edge The most important difference is that the script treats a wedge as a living geometric compression structure. It does not simply connect the latest two highs and lows and call the pattern complete. A candidate must pass span, width, convergence, and slope requirements before it becomes active. For rising wedges, the script looks for rising pivot highs and rising pivot lows where the lower boundary is climbing faster than the upper boundary. This creates upward compression, which is the core geometry behind a rising wedge. For falling wedges, it looks for falling pivot highs and falling pivot lows where the upper boundary is falling faster than the lower boundary. This creates downward compression, which is the core geometry behind a falling wedge. That difference matters because many weak wedge tools confuse ordinary channels with wedge compression. This script separates those structures by requiring the final width to be materially smaller than the starting width. 🔹 Methodology The engine begins with confirmed pivot highs and pivot lows. The user controls the pivot confirmation length, which allows the detector to be tuned for intraday, swing, or higher-timeframe charts. From the latest confirmed swing pair, the script builds two boundary lines: - Upper boundary from confirmed pivot highs - Lower boundary from confirmed pivot lows The detector then evaluates: - Pattern span in bars - Initial boundary width measured against ATR - Final boundary width relative to the starting width - Upper boundary slope - Lower boundary slope - Correct rising-wedge or falling-wedge geometry Only when those requirements align does the pattern become an active wedge. 🔸 Break Quality Model A wedge break is scored only after the reversal-side boundary is broken. The break quality score is built from multiple factors: - Wedge maturity - Distance beyond the broken boundary - Candle body participation - Close location inside the break candle - Volume ratio versus recent average volume The score is translated into a simple grade so the chart stays easy to read. This does not claim that a break must continue. It gives the user a structured read of how strong the confirmed break appears under the script's own rules. 🎯 Projected Reaction Zone After a confirmed wedge reversal break, the script projects a reaction zone using the initial wedge width. This zone is not a generic support/resistance box. It is tied directly to the wedge geometry and appears only after the structure confirms. The goal is to show the next area where price may naturally react after escaping the compression. The zone width and projection length are configurable, so users can keep the chart compact or allow more forward context depending on timeframe and style. 🧭 Invalidation Context The script also draws an invalidation guide after a confirmed break. For a bullish falling-wedge break, invalidation is tracked below the opposite wedge boundary with an ATR buffer. For a bearish rising-wedge break, invalidation is tracked above the opposite wedge boundary with an ATR buffer. This keeps the post-break structure organized without adding trade instructions or turning the script into a strategy. 📊 Panel The compact AGPro panel summarizes the current wedge lifecycle: - Wedge Type - Maturity - Break Quality - Target Zone Panel location, panel theme, and panel font size are adjustable from settings. The first panel row uses the AGPro standard: one merged blue header row containing only the panel title. ⚙️ Key Settings - Pivot Confirmation Length controls how strict the swing structure is. - Minimum Wedge Span filters out tiny patterns. - Maximum Final Width Ratio controls how much convergence is required. - Developing Wedge Preview Ratio controls how early dashed formation boundaries can appear. - Wedge Radar controls the latest-window visual radar that prevents panel-only charts while waiting for confirmed wedge geometry. - Radar Projection Bars limits how far radar boundaries extend into future bars. - Radar Fill Threshold keeps low-compression radar structures from creating oversized filled areas. - Boundary Tags add compact right-side rail annotations so the structure is easier to read without covering candles. - Compression Tag shows one status label for radar compression or armed-wedge maturity. - Boundary Break Buffer ATR adds confirmation distance beyond the wedge boundary. - Volume Confirmation Ratio contributes to break quality scoring. - Projection Length Bars controls how long the reaction zone extends forward. - Label Font Size and Label Offset ATR help maintain a clean chart presentation. 🧩 How It Differs From Other AGPro Tools This script is intentionally separate from AGPro channel, breakout, liquidity, and broad reversal tools. It is not a channel map. Channel tools organize parallel or multi-family structure. Wedge Reversal Detector only studies converging wedge geometry. It is not a double top or double bottom detector. Those patterns are based on repeated horizontal rejection and neckline behavior. This script is based on converging diagonal boundaries. It is not a broad reversal scanner. It does not combine every reversal pattern into one dashboard. It stays focused on wedge compression, wedge maturity, reversal break, projected reaction zone, and invalidation. It is not a generic breakout quality tool. Break quality is evaluated only after a valid rising or falling wedge exists. 🔔 Alerts The script includes alerts for: - Bullish falling wedge break - Bearish rising wedge break - High quality wedge break - Wedge invalidation These alerts are event notifications for the detected structure, not automated trading instructions. ✨ Best Use Case Wedge Reversal Detector is best suited for traders who already watch chart patterns, market structure, compression, and failed trend continuation. It helps reduce manual drawing by highlighting qualified wedge structures, then keeping the chart organized through the confirmation, projection, and invalidation phases. The result is a clean, premium, wedge-specific workflow designed for public chart reading: fewer random lines, fewer noisy labels, and a clearer view of whether the wedge structure is still forming, breaking, projecting, or invalidating.
อินดิเคเตอร์ Pine Script®
โดย AGProLabs
Aegis Quantum Oracle [wjdtks255]Aegis Quantum Oracle: Energy Velocity Forecast ■ OVERVIEW The Aegis Quantum Oracle is a next-generation momentum forecasting framework designed to identify structural market shifts through Energy Velocity Analysis. By calculating the acceleration and deceleration of capital flow, this system predicts potential reversals before they manifest in price action. ■ TECHNICAL ARCHITECTURE Luminous Smoothing Engine: Utilizes an EMA-based pre-filter to eliminate market noise, ensuring that the energy calculation is based on high-conviction price data. Quantum Velocity Vector: The core algorithm calculates histVelocity—the second derivative of momentum—to track the rate of change in market energy. Oracle Thresholding: Signals are normalized against a 50-period historical average (avgEnergy) to maintain statistical significance across different volatility regimes. ■ PREDICTIVE FORECASTING (ORACLE DOTS) Energy Ignition (Green Dots): A leading indicator for bullish reversals, appearing when bearish momentum bottoms out and buy-side velocity begins to accelerate. Energy Freezing (Red Dots): A leading indicator for bearish reversals, appearing when bullish momentum reaches an exhaustion peak and sell-side velocity takes over.
อินดิเคเตอร์ Pine Script®
โดย wjdtks255
MTF Confluence Gauge [JOAT]MTF Confluence Gauge Introduction One of the most persistent challenges in technical analysis is the problem of timeframe conflict. A setup that looks perfectly constructed on a 15-minute chart can be swimming against a powerful current on the 4-hour chart, while simultaneously aligned with the daily trend. Traders who operate on a single timeframe are making decisions without full awareness of the forces acting on the instrument across the full spectrum of market participants — from short-term speculators to institutional position traders whose horizons span weeks or months. The MTF Confluence Gauge addresses this challenge by simultaneously reading the HEMA (Hull-EMA Hybrid) trend state of up to 5 configurable assets across 5 configurable timeframes — producing 25 individual trend readings. Each reading is a directional vote: +1 for bullish HEMA alignment, -1 for bearish alignment, 0 for neutral. These 25 votes are summed into a raw score ranging from -25 to +25, normalized to a -100 to +100 scale, and further refined by local market modifiers including a delta proxy, volume RSI, volatility squeeze state, and local HEMA trend. The result is a composite gauge that represents the aggregate directional consensus across assets and timeframes simultaneously. This multi-asset capability makes the indicator unique even among multi-timeframe tools. Most MTF indicators read a single instrument across multiple timeframes. The MCG reads multiple instruments across multiple timeframes — enabling users to understand whether a bullish signal on their primary instrument is supported by correlated assets (e.g., sector ETFs, index futures, correlated crypto pairs) or is an isolated move that runs counter to the broader market ecosystem. A long signal supported by bullish readings across correlated assets and multiple timeframes is fundamentally different in quality from one that is isolated to a single timeframe of a single instrument. Core Concepts 1. HEMA Trend Function for MTF Reads The HEMA trend function is the foundational building block of every cell in the 5×5 matrix. For each asset-timeframe combination, request.security() retrieves the HEMA values on that timeframe, and the relative alignment of the fast, slow, and macro HEMA layers determines the trend vote. The lookahead parameter is explicitly set to barmerge.lookahead_off to ensure no future data contamination — the trend reading reflects only information that was available at the close of the most recent completed bar of the target timeframe. f_hema(src, len) => ta.ema(2 * ta.ema(src, len / 2) - ta.ema(src, len), math.round(math.sqrt(len))) f_mtfTrend(sym, tf) => h1 = request.security(sym, tf, f_hema(close, hFast), lookahead=barmerge.lookahead_off) h2 = request.security(sym, tf, f_hema(close, hSlow), lookahead=barmerge.lookahead_off) h3 = request.security(sym, tf, f_hema(close, hMacro), lookahead=barmerge.lookahead_off) h1 > h2 and h2 > h3 ? 1 : h1 < h2 and h2 < h3 ? -1 : 0 This function is called 25 times — once per cell in the matrix. The result for each call is stored in a 5×5 array of integers and subsequently used for both the raw score calculation and the table cell coloring. 2. Raw Score and Normalization The 25 individual trend votes are summed to produce a raw score. This sum is then smoothed with a 3-bar EMA to reduce single-bar noise. Normalization to the range is achieved by dividing the smoothed raw score by 25 (the maximum possible absolute value) and multiplying by 100. rawScore = 0 for r = 0 to 4 for c = 0 to 4 rawScore += trendMatrix.get(r * 5 + c) smoothedRaw = ta.ema(rawScore, 3) normalizedScore = smoothedRaw / 25 * 100 The normalized score forms the base for the histogram and is displayed in the dashboard as the "MTF Bias" value. By normalizing against the theoretical maximum, the scale is consistent regardless of how many assets are configured as neutral (0 votes) — the maximum expressible bull consensus is always +100 and the maximum bear consensus is always -100. 3. Local Score Modifiers The raw MTF score represents the multi-asset, multi-timeframe consensus, but it does not account for the specific conditions of the primary chart instrument at the current moment. Four local modifier calculations adjust the score based on immediate market context. The local HEMA trend applies a ±10 point bonus. The delta proxy (bar-range-based buying/selling pressure) applies a ±5 point bonus. Volume RSI above threshold applies a ±5 point bonus in the direction of the local trend. The volatility squeeze state applies a ±5 bonus when the market is not squeezing (i.e., volatility is freely expressing direction). All individual bonuses are summed and the combined total is clamped to the range. localBonus = localTrend * 10 deltaBonus = deltaPos ? 5 : -5 volBonus = highVol ? (localTrend > 0 ? 5 : -5) : 0 sqzBonus = squeezing ? 0 : localTrend * 5 totalScore = math.max(-100, math.min(100, normalizedScore + localBonus + deltaBonus + volBonus + sqzBonus)) displayScore = ta.ema(totalScore, 5) The final display score is a 5-bar EMA of the adjusted total, providing visual smoothness in the histogram while retaining the responsiveness of the underlying calculations. Local modifiers mean the gauge can show strong bull bias from MTF readings while still being dampened by bearish local conditions — a useful warning mechanism. 4. The 5×5 Color-Coded Table The visual centerpiece of this indicator is the 5×5 table rendered in the oscillator pane. Each of the 25 cells represents one asset-timeframe combination. Bullish cells are filled with teal and display an upward arrow (▲). Bearish cells are filled with red and display a downward arrow (▼). Neutral cells are filled with violet and display a dash (—). Row 6 of the table shows the column-sum score for each timeframe column, giving an immediate vertical read of how strongly any given timeframe is leaning across all configured assets. This allows traders to identify whether bias is uniform across timeframes or concentrated in specific horizons. 5. Histogram, Squeeze Background, and Reference Lines The composite score is rendered as a histogram with gradient fill — teal shades above zero transitioning toward deep teal at maximum bull readings, red shades below zero deepening toward maximum bear. Reference lines at ±25 define the "bias threshold" — readings beyond this level indicate a meaningful multi-timeframe lean. Reference lines at ±60 define the "strong conviction threshold" — readings here suggest near-uniform agreement across the majority of configured cells. When the local volatility squeeze is active (detected via ATR compression), the oscillator pane background tints violet, visually indicating that the current score may be elevated or depressed relative to its normal expression due to compressed price action. Features 25-Cell MTF Matrix: 5 configurable assets × 5 configurable timeframes, each independently returning a HEMA trend vote. lookahead_off Security Calls: All request.security() calls use barmerge.lookahead_off to prevent future bar data contamination. Smoothed Normalization: Raw score EMA-smoothed then normalized to for consistent cross-session comparability. Four Local Modifiers: Local HEMA trend, delta proxy, volume RSI, and squeeze state each contribute bonus points to produce a context-aware composite score. 5×5 Color-Coded Table: Teal/red/violet cells with directional arrows and column score totals for immediate visual matrix reading. Gradient Histogram: color.from_gradient fill above and below zero with reference lines at ±25 (bias) and ±60 (strong conviction). Squeeze Background Tint: Violet overlay on oscillator pane background when local volatility compression is detected. Nine-Row Dashboard: MTF bias label (six levels from STRONG BULL to STRONG BEAR), composite score, raw MTF score, squeeze state, Pearson R, delta bias, volume RSI, and local trend. Six Alert Conditions: Cross above +25, cross below -25, cross above +60, cross below -60, cross above 0, cross below 0. Input Parameters Asset Configuration: Asset 1-5 Symbols: Ticker symbols for each of the five configurable assets (defaults: current symbol, SPY, QQQ, GLD, TLT or equivalents) Timeframe Configuration: TF1-TF5: Five timeframe strings for the matrix columns (defaults: "15", "60", "240", "D", "W") HEMA Settings: Fast Length: HEMA fast period for all MTF reads (default: 20) Slow Length: HEMA slow period for all MTF reads (default: 50) Macro Length: HEMA macro period for all MTF reads (default: 100) Local Modifier Settings: Delta Window: Smoothing period for delta proxy calculation (default: 10) Volume RSI Threshold: Level above which volume is considered high (default: 65) ATR Squeeze Length: Period for local volatility compression detection (default: 20) Display Settings: Show Table: Toggle the 5×5 trend matrix table (default: true) Show Histogram: Toggle the composite score histogram (default: true) Show Dashboard: Toggle the nine-row information table (default: true) Show Squeeze Background: Toggle the violet compression tint (default: true) How to Use This Indicator Step 1: Configure Assets for Your Trading Context The indicator's value scales directly with the relevance of the configured assets to your primary instrument. For equity traders, configuring sector ETFs correlated with the primary stock (e.g., XLK for technology stocks, XLF for financials) alongside index instruments (SPY, QQQ, DIA) creates a meaningful consensus gauge. For crypto traders, configuring BTC, ETH, and leading altcoins provides an ecosystem-wide directional read. For forex traders, related currency pairs and safe-haven instruments (gold, bonds) capture macro correlation. Spend time selecting assets whose price behavior is structurally linked to your primary trading instrument. Step 2: Use the Table for Timeframe Structure Analysis Before looking at the composite score, read the table column by column. If the shorter timeframe columns (15m, 1H) are predominantly teal (bullish) but the longer timeframe columns (Daily, Weekly) are predominantly red (bearish), the market is in short-term counter-trend bounce territory — a higher-risk environment for long trades. Conversely, when both short and long timeframe columns are aligned in the same direction, the consensus is clean and structural. The column score row at the bottom of the table quantifies this alignment numerically. Step 3: Interpret the Composite Score Levels The ±25 threshold is the first meaningful level. A score above +25 indicates that more than half of the 25 cells are bullish (adjusted for local modifiers), suggesting a genuine bias rather than random noise. Between +25 and +60, the market has a directional lean but lacks uniform agreement. Above +60, the consensus is strong — the majority of assets across the majority of timeframes are in bullish alignment. The inverse applies below -25 and -60. Cross-zero signals (score moving from negative to positive) indicate a shift in aggregate consensus, which is often a leading indicator of trend changes on the primary instrument. Step 4: Monitor Local Modifier Impact The dashboard displays both the raw MTF score and the composite adjusted score. The difference between these two values reflects the cumulative impact of local modifiers. A large positive difference means local conditions (delta, volume, squeeze, HEMA) are amplifying the MTF signal. A large negative difference means local conditions are dampening it — the MTF matrix shows bulls, but the primary instrument itself is not confirming. In these cases, patience is warranted before entering. Indicator Limitations The indicator makes 25 request.security() calls plus additional local calculations. On crowded chart setups with many other indicators, this computational load may affect chart loading time. TradingView enforces limits on request.security() calls per script; users should be aware of this limit if adding other indicators with security calls. All 25 MTF trend readings update on the chart's native timeframe bars. Readings from higher timeframes update only when a new bar completes on that timeframe — the HEMA reading for a weekly timeframe, for instance, updates only at the weekly close. Between weekly closes, the weekly cell reading remains at the prior week's value. HEMA calculations at very short periods on very high timeframes (e.g., period 20 on a Monthly timeframe) may have insufficient bars to produce statistically stable readings. Users should ensure the target instrument has sufficient history on all configured timeframes. Asset correlation is dynamic — assets that are correlated in one market regime may decouple in another. A gauge configured for normal market correlation may produce misleading readings during crisis events when traditional correlations break down. The local modifier adjustments (±10, ±5, ±5, ±5) are fixed contribution weights. They do not adapt to changing market conditions and may disproportionately influence the composite score during specific regimes. The composite score is a simplified linear aggregation of heterogeneous signals. It treats a weekly HEMA reading as equivalent to a 15-minute HEMA reading in terms of contribution weight, which may not reflect the practical importance of longer timeframe trends. Originality Statement The MTF Confluence Gauge is an original multi-dimensional trend aggregation tool that differs meaningfully from existing multi-timeframe indicators. The 5×5 asset-timeframe matrix — simultaneously reading five user-configurable assets (not just one instrument across five timeframes) across five user-configurable timeframes — is an original architectural choice that enables cross-asset consensus analysis not available in standard MTF indicators. The HEMA-based trend vote function (requiring all three HEMA layers to be in sequence for a definitive +1 or -1 vote, otherwise returning 0) is a more stringent trend classification than simple moving average crossovers typically used in MTF dashboards. The four-component local modifier system — HEMA bonus, delta proxy bonus, volume RSI bonus, and squeeze state bonus — applied as additive adjustments to the normalized MTF score before display is an original composite scoring architecture. The six-level bias label system in the dashboard (STRONG BULL, BULL, SLIGHT BULL, SLIGHT BEAR, BEAR, STRONG BEAR) derived from the composite score threshold ranges provides a human-readable categorical summary not commonly implemented in MTF oscillators. The visual integration of the 5×5 table within the oscillator pane (rather than as a separate overlay) alongside the gradient histogram, squeeze background tint, and reference lines at ±25 and ±60 represents a unified pane design not seen in comparable indicators. Disclaimer The MTF Confluence Gauge is provided for educational and informational purposes only. It is a technical analysis tool and does not constitute financial advice. Multi-timeframe and multi-asset confluence does not guarantee trade success. Correlation between assets changes over time and cannot be relied upon to remain stable. All trading involves risk of loss. Users are solely responsible for their own trading decisions. Please consider your individual risk tolerance and consult a licensed financial professional before engaging in any trading activity. -Made with passion by officialjackofalltrades
อินดิเคเตอร์ Pine Script®
โดย officialjackofalltrades
SNP420_claudos v1.0Indicator Overview (Work in Progress) A technical analysis indicator enhanced with a machine learning model. Feedback is welcome. Chart Elements & Signal Logic BUY (green label up) – Green arrow below the candle: Long entry signal based on EMA bullish crossover + confirmed trend + RSI confirmation. ★ BUY (strong green) – Brighter green: High-confidence long signal, additionally near support → improved risk-to-reward ratio. SELL (red label down) – Red arrow above the candle: Short entry signal based on EMA bearish crossover + confirmed trend + RSI confirmation. ★ SELL (strong red) – Brighter red: High-confidence short signal, additionally near resistance. EXIT (gold ×) – Gold cross: Close position when opposite EMA crossover occurs or RSI reaches extreme levels. Take Profit (TP) – Green dashed line: Target level, typically set at 2× the Stop Loss distance. Stop Loss (SL) – Red dashed line: Risk level, typically set at 1.5× ATR. Entry Line – Solid blue line: Trade entry price. Dashboard (Top Right Panel) Trend – Displays current market direction: UP / DOWN / FLAT. ATR – Shows current volatility in pips. RSI – Indicates momentum strength (Red > 70 = overbought, Green < 30 = oversold). Support – Nearest support level below the current price. Resistance – Nearest resistance level above the current price. Next Action – Suggested action: BUY / SELL / WAIT. TP – Recommended Take Profit level. SL – Recommended Stop Loss level. Summary This indicator combines trend-following logic (EMA crossovers), momentum confirmation (RSI), volatility-based risk management (ATR), support/resistance context, and a machine learning layer for filtering and prioritizing signals. The objective is to provide clear, actionable trade signals with predefined risk parameters and improved trade selection.
อินดิเคเตอร์ Pine Script®
โดย SNP_420
AG Pro Pin Bar Quality Filter [AGPro Series]AG Pro Pin Bar Quality Filter Overview / What it does AG Pro Pin Bar Quality Filter is a price-action overlay built to detect pin bar candles and then separate higher-quality rejection candles from weaker or noisier ones. The script does not treat every long-wick candle as equally meaningful. Instead, it evaluates the internal candle structure first, then applies a compact quality framework around volume, recent momentum, and local support/resistance context. The result is a filtered pin bar workflow designed for traders who want cleaner chart annotation rather than a raw pattern dump. This tool focuses on one specific job: identifying rejection candles with a measurable structure and presenting them with a readable quality label directly on the chart. It is intended to help users inspect potential reaction points, not to replace broader market context or execution rules. The visual design is intentionally simple at the core: pin bar body highlighting, wick emphasis, directional markers, and compact quality labels. This makes the script suitable for traders who want candle-based context without converting the chart into a full market-structure dashboard. Unique Edge The distinctive feature of this script is that it does not stop at pattern detection. A standard pin bar script often marks candles only because they have a long wick. This script goes further by checking whether the wick is large enough relative to the body, whether the body itself is small enough relative to the full candle range, and whether one wick clearly dominates the other. That combination helps reduce ambiguous candles that visually resemble pin bars but do not express clean rejection. After the structural test, the script applies a three-part quality model: - volume confirmation - momentum context - support/resistance proximity This creates a practical quality hierarchy rather than a binary pattern label. In other words, the script is not only asking “Is this a pin bar?” but also “How much contextual support does this pin bar have?” An optional piercing check is also available for users who want stricter validation. This adds another layer of selectivity by requiring the candle body to show stronger positional behavior relative to the prior bar. Methodology The script starts by measuring the current candle: - candle body size - full candle range - upper wick length - lower wick length - dominant wick versus body ratio A raw pin bar candidate requires: - a minimum wick/body ratio - a maximum body percentage of full range - directional wick dominance This helps define whether the candle is a legitimate bullish or bearish rejection structure. Bullish pin logic is based on lower-wick dominance. Bearish pin logic is based on upper-wick dominance. Once a raw pin bar is detected, the script evaluates three contextual filters. 1) Volume filter The current volume can be compared against a moving average of volume. This helps identify candles that form with relatively stronger participation. 2) Momentum confirmation The script can check whether recent candles were moving in the opposite direction of the current pin bar. For example, a bullish pin bar becomes more meaningful when it forms after short-term downward pressure, while a bearish pin bar becomes more meaningful after short-term upward pressure. 3) Support / resistance proximity The script tracks pivot-based reference levels and checks whether the pin bar forms close to a recent local support or resistance area, using an ATR-based distance threshold. Each passed filter contributes to the final quality score. This produces a compact tiered output instead of a single undifferentiated signal stream. Signals & Alerts The script can identify: - bullish pin bars - bearish pin bars - higher-quality pin bars based on the selected minimum score Visual elements may include: - body highlighting on detected pin bars - wick emphasis - directional arrow markers - quality labels with contextual details - an information panel summarizing the active state The quality label can display the signal tier and relevant confirmations such as: - wick/body ratio - volume confirmation - momentum confirmation - support/resistance proximity Alert conditions are available for: - bullish pin bars - bearish pin bars - prime-quality pin bars - any valid pin bar that meets the selected score threshold This allows users to align alerts with their own strictness settings rather than monitoring every possible candle manually. Key Inputs Important user controls include: - minimum wick/body ratio - maximum body percentage of full range - wick dominance threshold - optional piercing requirement - volume filter enable/disable - momentum filter enable/disable - support/resistance filter enable/disable - minimum quality score - label size - panel display - maximum number of displayed signals These settings make the script adaptable across different instruments and chart styles. Users who prefer a broader scan can lower the strictness, while users who want fewer but cleaner signals can raise the thresholds. Limitations & Transparency This script is a rule-based candle-quality filter. It is not a market prediction engine, and it does not attempt to classify broader trend structure, liquidity behavior, or macro regime by itself. A pin bar can still fail even when all filters pass. A visually strong rejection candle is not automatically a durable reversal. Context such as higher-timeframe structure, trend state, volatility regime, session behavior, and instrument-specific character still matters. Support and resistance detection in this script is pivot-based and proximity-based. It is designed as a practical contextual filter, not as a complete structural mapping model. Volume behavior also varies by asset and market type. On some instruments, especially where centralized volume data is limited or interpreted differently, the volume filter should be treated as a supplementary input rather than a universal truth test. The momentum check is intentionally compact and local. It is meant to improve candle context, not to replace broader directional analysis. For these reasons, the script is best used as a chart-reading assistant within a larger process, not as a standalone decision framework. Risk Disclosure This script is provided for technical analysis and chart annotation purposes only. It highlights selected pin bar conditions based on user-defined structural and contextual rules. It does not provide financial advice, investment advice, or guaranteed trade outcomes. Markets can remain irrational, trend continuation can invalidate rejection candles, and false positives can occur in all timeframes and asset classes. Users should validate the script on their own instruments, timeframes, and risk models before relying on it in live conditions. Position sizing, stop placement, execution discipline, and overall trade management remain the responsibility of the user. In summary, AG Pro Pin Bar Quality Filter is designed to help traders study rejection candles with more structure, more selectivity, and cleaner on-chart presentation than a basic pin bar marker, while remaining transparent about what the script does and does not do.
อินดิเคเตอร์ Pine Script®
โดย AGProLabs
2
Source-Aligned Oscillators (for Divergences)A simple tool to visualize oscillators on different price sources — and fix one of the most common divergence mistakes. Many traders look for divergence by comparing: price → using highs and lows oscillators (like RSI) → calculated on close This creates a hidden inconsistency. Oscillators such as Relative Strength Index, momentum, or ROC are typically built using close-to-close data. But when divergence is drawn using wick extremes (highs/lows), you are no longer comparing the same type of information. This becomes especially problematic on large candles: the distance between low and close (or high and close) can be significant price may print a new low via a wick while the close — and therefore the oscillator — shows little real change 👉 This often produces “fake” or misleading divergence signals. The idea behind this script Divergence should ideally be evaluated using aligned data sources: if your oscillator is based on closes → compare it to close-based structure if you want to use highs/lows → then the oscillator should reflect those extremes too This script allows you to do exactly that. What this tool does Displays a single oscillator at a time for clarity Supports multiple oscillators: RSI ROC Momentum MACD Histogram CMO Stochastic RSI Lets you compute them on different sources: Close HL2 HLC3 OHLC4 Candle body split (open/close extremes) High / Low split High / Low split mode (key feature) Instead of forcing one source, this mode shows: oscillator calculated on lows → useful for bullish structure oscillator calculated on highs → useful for bearish structure This helps you clearly see how oscillators behave when aligned with actual price extremes — instead of mixing closes with wicks. How to use it Switch between sources and observe how oscillator structure changes Compare close-based vs wick-based behavior Identify whether a divergence is: structurally meaningful or simply caused by a single candle wick Final note This tool does not generate divergence signals automatically. Its purpose is to help you see divergence correctly, with consistent data. Because sometimes the issue is not the market — it is how we measure it.
อินดิเคเตอร์ Pine Script®
โดย QuantNomad
2
OneDose - MTF Trend Dashboard (FREE V1)This free multi time frame trend dashboard indicator that uses EMA based signals across multiple time frames to quickly identify overall market direction and strength to BUY or SELL. FEATURES Multi-Timeframe Trend Dashboard M5 → Monthly trend alignment 50 / 200 EMA trend detection Real-time directional arrows (▲ ▼) BIAS % showing overall trend strength Clean UI (dark & light mode support) Toggle background visibility Fully optimized for clarity and readability HOW TO USE Use this indicator to align trades with the dominant trend by checking the BIAS and individual timeframe arrows. When most timeframes align (UP or DOWN) the indicator will point a stronger directional conviction bias with a % showing BUY or SELL. Use higher timeframes (Daily, Weekly, Monthly) to confirm the broader market bias. Use lower timeframes (M5–H1) for timing entries in the direction of the trend. Avoid trading against strong multi timeframe alignment for better high probability trading setups.
อินดิเคเตอร์ Pine Script®
โดย JaeBearInvests10
Flag Breakout Forecasts [AlgoAlpha]🟠 OVERVIEW This indicator detects converging price channels — commonly called flags or wedges — directly on the chart using a zigzag-based pivot detection algorithm. It identifies three collinear pivot points on both the highs and the lows to confirm a valid channel, then monitors the channel in real time for a breakout. Beyond just drawing the channel, the script assigns probabilistic forecasts to each active pattern. It uses the historical distribution of past breakout durations and directions to estimate the likelihood of an imminent breakout, whether that breakout will be bullish or bearish, and adjusts those estimates using live volume data accumulated inside the pattern. A supplemental volume table and a net-volume gauge render alongside each detected pattern, giving traders a second lens into the supply-and-demand balance before a move resolves. 🟠 CONCEPTS Zigzag — A filtered sequence of alternating swing highs and swing lows. Pivots are confirmed only after a user defined bars on each side, so shorter user defined values capture minor swings and larger values require more significant price moves. Collinearity check — Given three pivot points, the script projects a straight line from the first to the third and measures how far the middle pivot deviates from it, expressed as a percentage of price. If the deviation falls below the tolerance threshold, the three pivots are treated as lying on the same trendline. Converging channel — A pair of trendlines (one through swing highs, one through swing lows) where the gap between them narrows from left to right. This geometry distinguishes flags and symmetric wedges from parallel channels. Early detection — When one trendline is confirmed but the other lacks a third pivot, the script uses the current running extreme (an unconfirmed potential pivot) as a temporary third point. The resulting line is drawn dashed and upgrades to solid when the pivot is confirmed. Breakout confirmation — A break is logged after the close exits the projected channel boundary for two consecutive bars, or immediately when the breakout candle body extends well beyond the boundary and its body size is at least 3 standard deviations above the 20-bar mean body length. Normal CDF approximation — Breakout duration probabilities are derived using the Abramowitz and Stegun rational approximation to the standard normal cumulative distribution function, applied to z-scores computed from the historical distribution of past breakout durations. Net volume ratio — Bullish volume (up-close bars) minus bearish volume (down-close bars), divided by total volume, mapped to a −100 to +100 scale. Used to tilt the directional probability estimate away from the purely historical base rate. 🟠 FEATURES Automatic channel detection — Channels are drawn the moment three collinear pivots are confirmed on each side with matching alignment and convergence. • Solid lines for fully confirmed channels. • Dashed lines for the side that is still waiting on a third confirmed pivot. Probabilistic overlay label — Displayed above each active channel. • P(break): probability that a breakout will occur soon, based on how the current pattern duration compares to historical durations. • P(bull) / P(bear): directional probabilities derived from historical breakout directions and blended with live net volume. Net volume gauge — A color-gradient vertical bar drawn to the right of the last candle, with a pointer showing whether up-close or down-close volume dominates the current pattern. Volume statistics table — Shows bullish volume, bearish volume, net volume, total volume, ATR, and pattern duration for the most recent active pattern. Cell background intensity scales with volume magnitude. Breakout signals — Arrow labels mark the breakout bar with the direction, total volume absorbed, and the number of bars the pattern lasted. Background highlight — A subtle background color appears on the bar when a new pattern is first detected. To help users know the exact time the pattern was detected 🟠 HOW TO USE Adjust len to match the swings you trade — lower values (3–5) for intraday patterns, higher values (10–20) for swing or position setups. Tighten collinearity tolerance to 0.1–0.2% if you want only very clean trendline alignments; loosen it toward 1% if you want the indicator to catch more approximate formations. Watch the dashed channel side — it signals an early, unconfirmed pattern. Treat it as a warning rather than a confirmed setup, and wait for it to turn solid before acting. Check P(break) in the label — a reading above 70% means the current pattern has already lasted longer than most historical patterns, suggesting a resolution is statistically overdue. Use P(bull) and P(bear) alongside the volume gauge — when P(bull) is elevated and the gauge leans bullish, the two signals agree on direction. Disagreement between them calls for extra caution. Reference the volume table's net row — persistently positive net volume during a bearish-looking wedge can indicate absorption of selling pressure and a possible upside resolution. Set alerts for "Pattern formed," "Bullish breakout," "Bearish breakout," and the strong-break variants to monitor multiple instruments without watching the chart continuously. 🟠 CONCLUSION Flag Breakout Forecasts detects converging price channels using zigzag pivot collinearity and geometric validation, then layers on probabilistic duration and direction estimates derived from each instrument's own historical breakout data. The result is a self-calibrating pattern tool that combines structural chart analysis, volume profiling, and statistical inference in a single overlay.
อินดิเคเตอร์ Pine Script®
โดย AlgoAlpha
7
Weekly & Monthly HLThis indicator automatically plots the current weekly and monthly high and low levels as clean horizontal lines on the chart. These levels are widely used by traders to identify key areas of interest where price may react, reverse, or consolidate. The script is designed with a minimal and distraction-free layout. Labels are positioned on the right side of the chart, keeping the view clean while clearly marking each level. Weekly levels are shown in blue and monthly levels in red, making it easy to distinguish between short-term and higher timeframe zones. This tool can be helpful for understanding market structure, planning entries, and managing risk across different timeframes.
อินดิเคเตอร์ Pine Script®
โดย gradsgold
BullBearXinsights - ATR Projection Levels [Phil Vo]This tool helps you understand how far price has moved during the session based on its average daily range (ATR). Instead of guessing where price might go, it shows you where price currently sits within its expected move for the day. I personally use it to read context: When price is near the lower percentages, the session is still developing and has room to move. Around the middle levels, the move becomes more meaningful and you want to be more selective. As price approaches the higher levels, the move is more stretched and risk starts to increase. This is not a signal indicator. It’s designed to give you a clearer sense of positioning, timing, and expansion during the session. Use it alongside your own strategy to avoid chasing extended moves and to better understand when price still has room to go. So I built this because I didn’t want to guess anymore. Most traders chase moves without knowing how much of the day is already used.
อินดิเคเตอร์ Pine Script®
โดย BullBearInsights
2
Esco Theory V3.1Esco Theory Geometry Model V3 is a structural analysis overlay that maps market geometry, supply and demand, liquidity, fair value gaps, and volatility compression in one framework. The tool combines market structure, liquidity mapping, supply and demand zones, fair value gaps, and volatility squeeze detection into a single structural system. It does not generate buy or sell signals. It shows the structural conditions that often precede large moves so traders can plan trades around them. Built for discretionary traders who read price action and structure. Originally developed for crypto futures but it works on any liquid market. Every feature can be toggled on or off. Every color, lookback period, tolerance, and threshold is adjustable. You can run only rails and support resistance or the full system. It adapts to your trading style and timeframe. WHAT IT SHOWS V3 draws the structural architecture of price directly on the chart. Geometric rails and trend channels from swing pivots Horizontal support and resistance from clustered pivot levels Supply and demand zones validated by displacement Fair value gaps from three candle imbalances Inverse fair value gaps from filled imbalances Equal highs and equal lows that often act as liquidity targets Confluence zones where multiple levels overlap Volatility compression detection with squeeze and expansion signals Each component is independent. Turn on what you use. Turn off what you do not. GEOMETRIC RAILS The indicator connects significant swing highs and lows with diagonal trendlines and projects them forward. Minor rails track recent structure. Major rails map the larger cycle. Cross rails connect highs to lows for diagonal support and resistance. Cycle fans project from cycle extremes through opposing pivots. These rails form structural corridors that price often travels inside. When a rail aligns with a horizontal level or a supply demand zone the reaction tends to be stronger. Rail color, width, extension distance, and cross rail count are adjustable. SUPPORT AND RESISTANCE Nearby pivot points are clustered into horizontal levels. Each level includes a touch count so you can see how many times price has reacted there. More touches usually means a stronger level. Levels automatically flip between support and resistance depending on where price trades relative to the level. You control minimum touch count and clustering tolerance so detection can be tuned for your timeframe or market. SUPPLY AND DEMAND ZONES Zones are detected at pivots where price displaced strongly away from the origin candle. A valid zone requires clear displacement. Supply zones represent potential distribution areas. Demand zones represent potential accumulation areas. Zones are removed when price closes through them. New in V3 zones track retests. Each time price revisits a zone the color fades slightly and the label updates with the retest count. A fresh zone with zero retests is strongest. A zone labeled S x3 has been tested three times and is weaker. Zone count, pivot lookback, mitigation behavior, fade behavior, and colors are configurable. FAIR VALUE GAPS V3 detects fair value gaps using three consecutive candles where a price gap forms around the middle candle. Bullish FVG occurs when candle one high does not overlap with candle three low. Bearish FVG is the inverse. Fair value gaps represent price inefficiency where the market moved too quickly. These areas often get revisited as price rebalances. Minimum gap size, lifespan, and automatic removal after midpoint fill can be configured. INVERSE FAIR VALUE GAPS When a fair value gap is fully mitigated it becomes an inverse fair value gap. A filled bullish FVG becomes resistance. A filled bearish FVG becomes support. The zone remains on the chart with a different color until price closes through it again. This captures the common behavior where filled imbalance zones flip direction. CONFLUENCE The indicator scans all detected levels and highlights areas where several structures cluster together. When rails, horizontals, and supply demand overlap the probability of a reaction increases. Confluence zones show how many levels overlap in the same area. Cluster width and minimum level count can be adjusted. COMPRESSION AND SQUEEZE Volatility compression is detected using ATR ratio, Bollinger Band width, and Keltner Channel containment. When volatility contracts the chart highlights compression. This means price is coiling and energy is building. Optional wedge detection shows converging pivot structure during compression. Compression thresholds and pivot lengths can be tuned. SQUEEZE AND FIRE The squeeze system identifies when Bollinger Bands sit inside Keltner Channels. Red diamonds mark squeeze bars. Volatility is compressed and a move is building. This does not predict direction. Green triangles mark the fire bar where compression releases and volatility expands. Expansion often appears as breakouts or displacement candles. LIQUIDITY The indicator detects equal highs and equal lows. These areas often act as liquidity pools where stops accumulate. Price frequently moves toward these levels before reversing or continuing. Tolerance for equal highs and lows can be adjusted. HOW TO USE IT Strong setups occur when several tools agree. Typical workflow. Read the rails and understand the direction of structure. Identify key levels from support resistance, supply demand, and fair value gaps. Look for confluence where several levels overlap. Watch compression. Squeeze near a key level means energy is building. Wait for fire. Expansion from a confluence area often produces the move. Confluence matters more than any single signal. The indicator is meant to be tuned to your style and timeframe. The default settings are a starting point. MARKETS Originally built for Bitcoin and crypto perpetual futures. It works well on other liquid markets including Ethereum, forex majors, index futures, and high volume equities. Default settings are tuned for crypto on 5 minute to 4 hour charts. Adjust swing lookback and pivot length when switching markets or timeframes. ESCO THEORY Markets move through repeating cycles. Compression Liquidity grab Expansion Most traders only see the breakout. Structural traders map the conditions that lead to it. Esco Theory focuses on identifying those structural conditions. Geometry Model V3 visualizes them on the chart. DISCLAIMER This indicator is for market structure analysis only. It does not provide financial advice or automated trade signals. Always use proper risk management. Trade safe. Esco
อินดิเคเตอร์ Pine Script®
โดย escobrypto
Dynamic Median Momentum Oscillator [AlgoAlpha]🟠 OVERVIEW This script provides a momentum oscillator that uses a median-based approach rather than traditional averages to find the center of price action. By calculating the distance between the current price and a rolling median (HLC3), it identifies how far the market has stretched from its historical equilibrium. The indicator is designed to filter out the noise typical of standard momentum tools, using a standardized range calculation to provide fixed overbought and oversold zones. It helps traders identify trend strength, potential exhaustion, and mean reversion opportunities across different market conditions. 🟠 CONCEPTS The core of this tool is the Dynamic Median basis, which uses a rolling median of the HLC3 price to establish a "fair value" line. Unlike a simple moving average, the median is less sensitive to extreme price spikes, making the resulting oscillator more robust against outliers. To ensure the oscillator remains readable across different assets, the raw difference between price and median is standardized by the average candle range (EMA of High-Low). This normalization allows for the use of fixed thresholds (e.g., +/- 200, 250, 300) regardless of the asset's price. The median sets the context for the baseline, while the smoothed MCD and its signal line provide the timing for entries and exits. 🟠 FEATURES Standardization feature to enable fixed overbought/oversold levels across any asset Multi-component display: Fast (histogram), Slow (lines), and Super Slow (filled zones) Reversion markers (triangles) indicating price returning from extreme levels 🟠 USAGE Setup : Add the script to your chart and choose your preferred Display Mode. Use "All" to see the full picture or "Slow" for a cleaner view of trend direction. Ensure "Standardize" is checked if you want to use the built-in overbought/oversold bands effectively. Read the chart : Look for the Smooth MCD (white line) crossing the Signal (orange line) for momentum shifts. Values above 0 indicate bullish momentum, while values below 0 indicate bearish momentum. Triangles appear at the top or bottom of the oscillator when price reaches extreme levels (300/-300) and begins to revert to the mean. Settings that matter : The Basis Length determines how much historical data defines the "center" of the market; longer lengths are better for higher timeframes. Smoothing Length controls the reactivity of the main white line—increase this if you find the oscillator is giving too many false signals in choppy markets.
อินดิเคเตอร์ Pine Script®
โดย AlgoAlpha
9
15M Candle Overlay v215M Candle Overlay v2 — Enhanced Overlay your 15-minute candles directly onto any lower timeframe chart (1m, 3m, 5m, etc.) without switching tabs. The candle group renders to the right of the current bar, keeping it clean and separate from live price action. What it shows: Up to 6 closed 15m candles + the forming candle, drawn as real candlesticks with wicks and color-coded bodies Volume bars scaled proportionally beneath each candle — the highest-volume candle is highlighted with a gold border A colored trend line connecting consecutive 15m closes (green = rising, red = falling) Dashed Support/Resistance lines marking the high and low of the visible 15m group An info panel anchored to the right of the group showing: current pattern, strength, multi-candle pattern, bias, O/C, H/L, and time remaining in the current 15m candle — panel background tints green/red based on overall bias Pattern Detection: 15+ single-candle patterns: Doji variants, Hammer, Shooting Star, Marubozu, Belt Hold, Spinning Top and more 20+ multi-candle patterns: Engulfing, Harami, Morning/Evening Star, 3 White Soldiers, 3 Black Crows, Kicker, Tweezer, Piercing Line, Rising/Falling 3 Methods and more Each pattern labeled with name, strength rating (Strong/Moderate/Weak), and body percentage All features are individually toggleable in the settings panel. Customizable colors, gap spacing, candle width, and pattern detection sensitivity thresholds.
อินดิเคเตอร์ Pine Script®
โดย Heavyguidance
VisualStructureToolsLibrary "VisualStructureTools" MTF-safe drawing library (Unix-Time). Designed for high visual discrimination and efficient debugging of complex logic without cluttering the main script. Optimized for Pine Script® v6 to prevent runtime errors in multi-timeframe environments. setLine(price, startTime, labelText, labelPos, is_extend, l_width, l_col, l_style)   Draws a horizontal level or a segment with an optional label.   Parameters:      price (float) : Price level for the line.      startTime (int) : UNIX timestamp (ms) for the starting point.      labelText (string) : Text to display on the label. Use "none" to hide.      labelPos (string) : Position of the label relative to the price ('above' or 'below', 'none').      is_extend (bool) : If true, the line extends infinitely (extend.both).      l_width (int) : Width of the line in pixels.      l_col (color) : Color for the line and label text.      l_style (string) : Style of the line ('solid', 'dashed', 'dotted'). setBox(top, bottom, startTime, endTime, boxText, b_col, b_width, b_style, b_transp)   Draws a filled box with an optional synchronized text label.   Parameters:      top (float) : Price of the upper boundary.      bottom (float) : Price of the lower boundary.      startTime (int) : UNIX timestamp (ms) for the left side of the box.      endTime (int) : UNIX timestamp (ms) for the right side (defaults to current 'time').      boxText (string) : Optional text label for the box. Use "" to hide.      b_col (color) : Border and fill color.      b_width (int) : Border width.      b_style (string) : Border style ('solid', 'dashed', 'dotted').      b_transp (int) : Transparency for the background fill (0-100).
ไลบรารี Pine Script®
โดย arnipoer
White Core Trend [wjdtks255]■ Technical Methodology The White Core Trend is a high-fidelity trend-following engine designed to provide institutional-grade market bias. It utilizes a deep-period Hull Moving Average (HMA) to effectively filter out market noise and "whipsaws" that often plague standard moving averages. ■ Execution Logic: Confirmed Price Action The engine triggers execution signals only when a confirmed candle close occurs above or below the White Core Line. This ensures that the trader capitalizes on decisive momentum shifts rather than entering on premature price spikes. ■ Key Functional Features The Core Anchor: A ultra-smooth trend backbone that acts as the primary threshold for bullish or bearish regimes. Directional Shape Markers: Precise Green (Up) and Red (Down) triangles identify the exact candle where a trend shift is validated. Dynamic Entry Anchor: A visual reference line (Box Logic) is plotted at the entry price level to help traders manage their initial position setups effectively. ■ Operational Guide Bullish Regime: Indicated by a Green triangle as price breaks above the core line. Bearish Regime: Indicated by a Red triangle as price breaks below the core line.
อินดิเคเตอร์ Pine Script®
โดย wjdtks255