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Vantage Liquidity EdgeABOUT Vantage Liquidity Edge is an intraday positioning indicator that integrates dynamic level projections with liquidity sweep detection for a complete market structure overview. It uses kinetic energy, volume entropy, and price cycles to create adaptive support and resistance levels based on golden ratio expansions, overlaid with echo zones from confirmed liquidity sweeps that adjust with retests. A key feature is the resonance amplitude calculation, which combines signed kinetic energy (0.5 * volume * velocity²) with entropy-scaled volatility and dominant cycle rhythm. Levels lock at market open, providing real-time trend and level probabilities alongside decaying liquidity echoes that strengthen visually with market interaction. Bullish Trading Methods: Demand Zone Entry: Enter long on a Vantage "BULL" bias (close above Pivot, Trend Prob >65%) at a LEM bull echo zone retest, confirmed by increasing opacity. Target the next R1/R2 level, with stop below the echo low. Expansion Breakout: Buy breaks above R1 on high R2/R3 Level Prob (e.g., "R3 75%") during early expansion, supported by LEM sweeps below. Trail stops to Pivot. Bearish Trading Methods: Supply Zone Short: Short on a Vantage "BEAR" bias (close below Pivot, low Trend Prob <35%) at a retested LEM bear echo zone rejection, using opacity for confirmation. Target S1/S2, with stop above the echo high. Fade Weakness: Short failures at R levels on "S3 XX%" Level Prob in choppy sessions, aligned with fresh LEM supply echoes. Use ATR targets to S zones, monitoring Pivot bias flips.
Pine Script®指標
由TheRealDrip2Rip提供
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Swing Volume Profile Pro [WillyAlgoTrader]📊 Swing Volume Profile Pro is an overlay indicator that builds a true volume distribution profile for each completed swing leg — distributing each candle's volume across price bins proportionally to how much of the candle's range overlaps each bin (TPO-like allocation), then calculating the Point of Control (highest-volume price), Value Area (70% of volume around POC), buy/sell delta per bin, and swing VWAP. The result is a volume profile that maps exactly to the swing structure, not to arbitrary time intervals. Most volume profile tools on TradingView are session-based or fixed-period — they split time into equal windows (daily, weekly, or N-bar segments) and build a profile for each. This means a single profile can contain parts of two different swing legs going in opposite directions, mixing bullish and bearish volume into one distribution. The POC and Value Area from such profiles reflect the time window, not the price structure. This indicator solves that by anchoring each profile to the actual swing structure: a profile starts at one pivot (swing high or swing low) and ends at the next. Every bar within that swing leg contributes its volume to the bins of that specific leg. The POC tells you where the most trading occurred during that exact directional move. The Value Area shows the 70% concentration zone for that move. The delta profile shows which bins were buy-dominant vs sell-dominant within that leg. This structural anchoring makes the volume data directly relevant to the swing you're analyzing. 🧩 WHY THESE COMPONENTS WORK TOGETHER A volume profile alone tells you where trading concentrated — but without structural context, you don't know whether that concentration happened during an impulse or a correction. A swing detector alone tells you direction changed — but without volume data, you don't know whether the reversal had participation behind it. This indicator connects them into a single analytical unit: Pivot detection → Swing leg identification → Candle-range volume distribution → POC/VA/VWAP/Delta calculation → Structural visualization The swing detector (ta.pivothigh/pivotlow) defines the boundaries of each leg. The volume distribution engine allocates each candle's volume to the correct price bins based on the candle's actual range overlap (not just its close). The POC identifies the price where the market spent the most effort during that specific move. The Value Area defines the consensus price zone. The delta shows whether buyers or sellers dominated at each price level. And the swing VWAP gives the fair value for the entire move. Together, these components answer: "during this specific swing move, where did the market agree on value, and who was in control?" 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Candle-range volume distribution (TPO-like allocation). Standard volume profiles assign each candle's entire volume to a single bin (usually the close price). This creates distortion: a wide-range candle that spans 10 bins puts all its volume in one, leaving 9 bins empty. This indicator distributes volume proportionally: For each candle, for each bin: overlap = max(0, min(candle_high, bin_high) − max(candle_low, bin_low)) portion = overlap / candle_range allocated_volume = candle_volume × portion A candle spanning 5 bins distributes its volume across all 5, weighted by how much of its range falls within each bin. This produces a smooth, accurate volume distribution that reflects where the market actually traded within each candle, not just where it closed. Additionally, each candle is classified as bullish (close ≥ open) or bearish (close < open), and its allocated volume is tracked separately in buy and sell arrays. This enables the delta profile: at every price bin, you can see whether buy or sell volume dominated. 2️⃣ Swing-anchored profiles (not time-anchored). Profiles are built between confirmed pivot highs and pivot lows detected by ta.pivothigh(high, swingLen, swingLen) and ta.pivotlow(low, swingLen, swingLen). Each completed swing leg (from one pivot to the next) becomes its own volume profile with independent POC, Value Area, delta, and VWAP. The bins span the exact swing range (min to max price within the leg), and only bars within the leg contribute volume. A noise filter skips swings smaller than 0.3× ATR(200) — preventing micro-swings from generating meaningless profiles. 3️⃣ Value Area calculation using the CME expansion method. The Value Area is computed using the standard market profile algorithm: starting from the POC bin, expand alternately upward and downward, adding whichever adjacent bin has more volume, until 70% of total swing volume is captured. In code: starting with accumulated = volume , the algorithm compares volume vs volume . If the upper bin has more volume (or equal), it expands upward and adds that volume. Otherwise, it expands downward. This continues until accumulated ≥ totalVolume × 0.70. The result is VA High (top of the uppermost included bin) and VA Low (bottom of the lowermost included bin). This is the same expansion method used by the CME for market profile — it's not a simple percentile calculation. The VA wraps around the POC in the direction of volume concentration, which may be asymmetric. 4️⃣ POC zone with persistent extension. The POC is not just a single line — it includes the full price bin (top and bottom boundaries) displayed as a shaded zone. This zone extends rightward from the end of the swing leg until the next profile appears, providing a forward-looking support/resistance reference. When a new swing completes, the previous POC zone is trimmed to the boundary of the new profile, and the new zone begins extending. This means you always see the most recent POC zone extending into current price action — if price is trading within the POC zone, it's at the highest-volume price of the last completed swing. If price breaks above/below the zone, it's leaving the area of strongest volume consensus. 5️⃣ Buy/sell delta profile. When enabled, each profile bin is colored by its buy/sell imbalance: green if buy volume ≥ sell volume, red if sell volume dominates. A bullish swing with mostly green bins confirms strong demand throughout the move. A bullish swing with red bins at the top suggests sellers are absorbing the advance — potential exhaustion. This buy/sell classification is based on candle direction (close ≥ open = buy candle), applied proportionally through the same distribution mechanism as total volume. 6️⃣ Swing VWAP per leg. A separate VWAP is calculated for each swing leg: sum(typical_price × volume) / sum(volume), where typical_price = (high + low + close) / 3 for each bar within the leg. This gives the volume-weighted fair value for that specific move — distinct from session VWAP or rolling VWAP. If price retests a previous swing VWAP, it's returning to the average traded price of that move. 7️⃣ Dual visualization modes: histogram profile + heatmap. Two display modes for the volume distribution: — Profile mode (default): horizontal histogram bars extending from the swing boundary, with a polyline outline. Width proportional to volume at each bin. The highest-volume bin (POC) is highlighted. — Heatmap mode : fills the entire swing range with color-gradient boxes. Higher volume = more opaque/saturated color. Lower volume = more transparent. This gives a density map of where volume concentrated within the swing. Both modes support delta coloring. The profile mode includes volume text on the POC bin. 8️⃣ Real-time forming swing profile. The indicator doesn't wait for a swing to complete — it continuously builds a profile for the current forming swing leg. As each new bar adds volume, the real-time profile updates: bins are recalculated, POC may shift, Value Area may expand. This profile is drawn in a neutral color (gray) to distinguish it from confirmed profiles. When the swing completes (next pivot confirmed), the real-time profile is replaced by the finalized historical profile in the swing's directional color. 9️⃣ Comprehensive tooltip data on swing labels. Each swing pivot label (▲ for bullish, ▼ for bearish) contains a tooltip with complete swing statistics: total volume, buy volume, sell volume, delta percentage, POC price, Value Area range, and swing VWAP. This compresses all the analytical data into a single hover interaction — you can quickly review any historical swing's volume profile data without cluttering the chart. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Swing detection: ta.pivothigh(high, swingLen, swingLen) and ta.pivotlow(low, swingLen, swingLen) detect confirmed pivots. Pivots are confirmed swingLen bars after they form. Direction flips when a new pivot type appears (swing high → bearish direction, swing low → bullish direction). Step 2 — Swing leg boundaries: When direction flips, the completed leg is defined from the previous pivot index to the current pivot index. The swing range (top − bottom) is divided into N bins (default 20). A noise filter requires swing range > 0.3× ATR(200). Step 3 — Volume distribution: For each bar in the leg, the candle's volume is distributed across bins proportional to range overlap. Buy/sell arrays track bullish vs bearish candle volume separately. Typical price × volume is accumulated for VWAP. Step 4 — POC: The bin with the highest total volume is identified. Its center price becomes POC, and its upper/lower boundaries define the POC zone. Step 5 — Value Area: Starting from the POC bin, expand alternately toward the bin with more volume (up or down) until 70% of total swing volume is accumulated. The top of the upper boundary and bottom of the lower boundary define VA High and VA Low. Step 6 — Visualization: Profile boxes are drawn with width proportional to volume/maxVolume × halfSpan. The polyline outline traces the profile shape. POC zone extends rightward until the next profile. VA lines span the leg. VWAP line marks the fair value. Step 7 — Real-time update: On the last bar, the current forming swing is profiled with the same algorithm. All real-time drawings are deleted and recreated each bar (delete-before-create pattern) for clean updates. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — profiles appear on each completed swing leg 2. The widest bar in each profile = POC (highest volume price) 3. Blue dashed lines = Value Area boundaries (70% of volume) 4. Green/red bin colors = buy vs sell dominance at each price level 5. The POC zone (shaded) extends rightward — watch how price interacts with it 👁️ Reading the chart: — 🟢 Green profile = bullish swing leg (low → high) — 🔴 Red profile = bearish swing leg (high → low) — ⚫ Gray profile = current forming swing (not yet confirmed) — 🔵 Dark blue line + shaded zone = POC (extends rightward as S/R reference) — 🔵 Blue dashed lines = Value Area High / Low — 🟣 Purple solid line = Swing VWAP (fair value for the leg) — 🟢🔴 Bin colors (delta mode) = buy vs sell dominance per price level — ▲/▼ labels at pivots = swing reversals (hover for full volume data) 📊 Key analysis patterns: — POC at swing extreme : heavy volume at the high/low of the swing → potential exhaustion (climax volume) — POC in middle of swing : most volume at fair value → healthy acceptance, trend likely to continue — Wide Value Area : volume distributed broadly → uncertainty, ranging behavior — Narrow Value Area : volume concentrated tightly → strong consensus, potential breakout energy stored — Delta divergence : bullish swing with red bins at top → sellers absorbing the rally → watch for reversal — Price retesting POC zone : if the extended POC zone acts as support/resistance, the volume consensus from the previous swing is holding 📊 Dashboard fields: — Trend: current swing direction (Bullish ▲ / Bearish ▼) — POC: point of control price for the current/last swing — VA 70%: value area range (low — high) — VWAP: swing VWAP price — Volume: total volume in the swing leg — Delta: buy vs sell imbalance percentage (positive = buy dominant) — Timeframe and version ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Swing Detection Length (default 21): pivot lookback — higher = larger swings, lower = more frequent — Profile Bins (default 20): price resolution — higher = finer detail, lower = smoother 🎨 Visual: — Volume Profile (default On): histogram display — Heatmap (default Off): color-gradient fill instead of histogram — Delta Profile (default On): buy/sell coloring per bin — ZigZag (default On): swing connector lines (Dotted/Dashed/Solid) — POC Line (default On): point of control with extending zone — POC Zone Fill (default On): shaded POC bin — Value Area (default On): VA High/Low lines — Swing VWAP (default Off): volume-weighted average per leg — Swing Labels (default On): pivot markers with tooltip data — Reversal Signals (default Off): confirmed swing direction change markers — Auto / Dark / Light theme 🔧 Advanced: — POC Width (default 2): POC line thickness — VA Width (default 1): Value Area line thickness 🔔 Alerts — 🟢 SWING BULLISH — ticker, price, timeframe, POC, delta % — 🔴 SWING BEARISH — same fields Both support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting of confirmed profiles. Historical profiles are built on barstate.isconfirmed when a swing direction flip occurs. Once drawn, they don't change. The real-time forming profile updates each bar (by design — it's a live calculation), but confirmed profiles are final. — 📊 Volume data required. The profile, POC, Value Area, delta, and VWAP calculations all depend on volume data. On instruments without volume (some forex pairs), the profiles will be flat (all bins equal) and the analysis loses its meaning. The indicator works best on instruments with reliable volume: crypto, stocks, futures. — 📐 The candle-range distribution is an approximation of intrabar volume distribution. True tick-level distribution would require tick data, which TradingView doesn't provide. The proportional overlap method is the best approximation available and significantly more accurate than assigning all volume to the close price. — ⚖️ The delta classification (buy vs sell) uses candle direction (close ≥ open), not actual trade-level order flow. A bullish candle's volume is classified as "buy" and a bearish candle's as "sell." This is a standard approximation used by most volume analysis tools on candle data. — 📏 Swing Detection Length controls profile granularity. Length 21 produces medium-term swing profiles. Length 5–10 produces many small profiles (noisy). Length 50–100 produces few large profiles (macro structure). Choose based on your trading timeframe. — 🔄 The POC zone extends rightward until the next profile appears. If no new swing occurs for a long time, the zone keeps extending — this is by design (the last known POC remains relevant until a new volume structure forms). — 🛠️ This is a volume analysis and structural visualization tool , not an automated trading bot. It reveals where volume concentrated within each swing — trade decisions remain yours. — 🌐 Works on all markets with volume data. All timeframes supported.
Pine Script®指標
由WillyAlgoTrader提供
Luminous Pivot S&R Matrix [Pineify]Luminous Pivot S&R Matrix — Dynamic Support & Resistance Zones with ATR-Adaptive Width and Breakout Detection The Luminous Pivot S&R Matrix is a dynamic support and resistance indicator that automatically identifies significant pivot highs and pivot lows, constructs ATR-adaptive zones around them, and monitors each zone in real time for breakout invalidation. Unlike static horizontal line tools that require manual placement, this indicator continuously scans price action for structurally significant turning points using a configurable lookback window, then wraps each pivot in a volatility-scaled zone whose width adapts to current market conditions via the Average True Range (ATR). When price closes beyond a zone's pivot level, the zone is automatically deactivated and visually dimmed, while a breakout signal is plotted — giving traders a fully automated, self-managing support and resistance framework that stays relevant as markets evolve. Key Features Automatic pivot detection using a configurable lookback length to identify both major and minor structural turning points in price ATR-adaptive zone construction that dynamically scales the width of each support and resistance zone based on current market volatility Real-time zone management with automatic extension of active zones to the current bar and visual invalidation when zones are broken Breakout detection system that flags bullish breakouts (close above resistance) and bearish breakouts (close below support) with triangle markers and candle coloring Memory management system that limits the number of displayed zones per side, automatically removing the oldest zones to keep charts clean and readable Built-in alert conditions for both bullish and bearish breakouts, enabling automated notification workflows How It Works The indicator operates through a three-stage pipeline: pivot detection, zone construction, and dynamic zone management. Stage 1: Pivot Detection The indicator uses Pine Script's built-in ta.pivothigh() and ta.pivotlow() functions with a user-defined lookback length (default: 15 bars). A pivot high is confirmed when a bar's high is the highest value within the lookback window on both sides. Similarly, a pivot low is confirmed when a bar's low is the lowest value within that same window. Because confirmation requires bars to the right of the pivot, detected pivots are inherently lagged by the lookback length — this is by design, as it ensures only structurally validated turning points are plotted, filtering out noise and false signals. Stage 2: ATR-Adaptive Zone Construction Once a pivot is confirmed, the indicator constructs a zone around it. Rather than using a fixed-width band, the zone boundaries are calculated using the 14-period ATR value at the pivot bar, scaled by the user's ATR multiplier (default: 0.8). The zone extends from pivot price + (ATR × multiplier) / 2 to pivot price − (ATR × multiplier) / 2 . This means zones are naturally wider during volatile market conditions and narrower during calm periods, providing contextually appropriate support and resistance bands. A horizontal line is drawn at the exact pivot price, and a semi-transparent box fills the zone area. Stage 3: Dynamic Zone Management & Breakout Detection On every bar, the indicator iterates through all active zones. Active zones are extended rightward to the current bar, keeping them visually current. The indicator then checks whether price has closed beyond the zone's pivot level — above for resistance zones, below for support zones. When a breakout occurs, the zone is deactivated (marked inactive), its visual appearance is dimmed to gray with a dashed line style, and a breakout flag is raised. This flag triggers the plotted triangle signal and candle coloring for that bar. Trading Ideas and Insights Zone Bounce Entries — When price approaches an active support zone from above, look for bullish reversal candlestick patterns (hammer, engulfing) within the zone for potential long entries. The zone's ATR-based width provides a natural area for price to find buyers, and the wider the zone, the more volatility the market has been experiencing — suggesting a larger potential reaction. Breakout Continuation Trades — When a bullish breakout signal fires (green triangle), it confirms that price has closed above a resistance pivot. Traders can use this as confirmation to enter long positions, especially when the breakout occurs on above-average volume. The invalidated zone often becomes new support on retests. Zone Density Analysis — Areas where multiple support or resistance zones cluster together represent stronger structural levels. When several pivots form at similar price levels, the overlapping zones create a high-confluence area that is more likely to hold or produce significant breakouts when finally violated. Failed Breakout Recognition — If price triggers a breakout signal but quickly reverses back into the zone on the next bar, this suggests a false breakout or stop hunt. Traders can watch for these failed breakouts as potential reversal signals in the opposite direction. Trend Context — In a strong uptrend, you will observe support zones consistently holding while resistance zones are frequently broken (bullish breakout signals). In a downtrend, the opposite pattern emerges. Tracking the ratio of bullish to bearish breakouts provides a structural view of trend strength. How Multiple Indicators Work Together The Luminous Pivot S&R Matrix integrates three complementary analytical techniques into a unified support and resistance system: Pivot point detection provides the structural price levels, ATR-based zone construction adds volatility context to those levels, and the real-time breakout detection system transforms static levels into dynamic, self-managing trading zones — together forming a complete support and resistance analysis framework. The pivot detection engine serves as the foundation, identifying bars where price has demonstrably reversed direction. The configurable lookback length allows traders to tune the sensitivity — a shorter lookback (5-10) captures minor swing points suitable for intraday trading, while a longer lookback (15-30) identifies major structural levels appropriate for swing and position trading. The ATR-adaptive zone construction addresses a fundamental limitation of traditional pivot-based indicators: a single price line rarely captures the full area where supply or demand exists. By expanding each pivot into a zone scaled by the ATR, the indicator acknowledges that support and resistance are areas , not exact prices. The ATR multiplier gives traders control over how much volatility context to incorporate — a lower multiplier (0.3-0.5) creates precision zones for tight stop placement, while a higher multiplier (1.0-1.5) creates wider zones that capture the full range of potential price reaction. The breakout detection and zone lifecycle management system is what transforms this from a static level-drawing tool into a dynamic analytical framework. By automatically tracking whether each zone remains active or has been invalidated, the indicator eliminates the manual overhead of monitoring multiple levels. The visual differentiation between active zones (solid colored) and broken zones (gray dashed) provides instant context about which levels are still structurally relevant. The memory management system ensures that only the most recent zones remain on the chart, preventing visual clutter that accumulates with traditional pivot indicators. Unique Aspects Volatility-adaptive zone width — Unlike fixed-width pivot zones or percentage-based bands, the ATR scaling ensures zones automatically widen during volatile periods and narrow during calm periods, providing contextually appropriate support and resistance areas across all market conditions. Self-managing zone lifecycle — Zones are not simply drawn and forgotten. Each zone is actively monitored, extended, and eventually invalidated when broken. The visual transition from active (colored, solid) to broken (gray, dashed) creates an intuitive map of which levels remain structurally significant. Structural pivot validation — By requiring confirmation bars on both sides of a pivot, the indicator only plots levels where price has demonstrably reversed. This eliminates the noise of minor fluctuations and focuses attention on levels where genuine supply or demand has been observed. Clean chart design with memory management — The configurable zone limit per side prevents the chart from becoming cluttered with historical levels. The oldest zones are automatically removed when new ones form, ensuring the chart always shows only the most relevant current levels. Dual breakout signaling — Breakouts are communicated through three simultaneous channels: plotted triangle markers, candle color changes, and configurable alert conditions. This multi-channel approach ensures traders never miss a breakout event regardless of how they monitor their charts. How to Use Add the Luminous Pivot S&R Matrix to your chart. It overlays directly on the price chart, displaying colored zones at detected pivot levels. Observe the colored zones — green zones represent support areas (pivot lows), and red zones represent resistance areas (pivot highs). Active zones have solid lines and colored fills; broken zones appear gray with dashed lines. Watch for breakout signals — a green triangle below a bar indicates price has closed above a resistance zone (bullish breakout), while a red triangle above a bar indicates price has closed below a support zone (bearish breakout). Breakout candles are also colored accordingly. Use active zones as potential entry areas — look for price reactions (bounces, rejections) when price approaches an active zone. Combine with candlestick patterns or other confirmation tools for higher-probability entries. Monitor zone invalidation patterns — frequent resistance breakouts suggest bullish momentum, while frequent support breakdowns suggest bearish momentum. This provides a structural view of the prevailing trend. Set up alerts using the built-in alert conditions ("Bullish Breakout" and "Bearish Breakout") to receive notifications when price breaks through an active zone, even when you are not watching the chart. Combine with volume indicators, trend filters, or momentum oscillators for additional confirmation before executing trades based on zone reactions or breakout signals. Customization Pivot Lookback (default: 15) — Controls how many bars on each side are required to confirm a pivot. Increase for major structural levels suitable for higher timeframes (20-30); decrease for more frequent pivot detection on lower timeframes (5-10). Zone ATR Multiplier (default: 0.8) — Scales the 14-period ATR to determine zone width. Increase for wider zones that capture more price reaction area (1.0-1.5); decrease for tighter, more precise zones (0.3-0.5). Max Active Zones per side (default: 5) — Limits how many support and resistance zones are displayed simultaneously. Increase if you want to see more historical context (8-15); decrease for a cleaner chart with only the most recent levels (2-3). Support / Resistance Colors — Customize the zone and signal colors to match your chart theme or personal preference. Zone Transparency (default: 85) — Controls the opacity of zone box fills and borders. Lower values make zones more prominent; higher values keep them subtle and non-distracting. Conclusion The Luminous Pivot S&R Matrix provides a methodologically rigorous approach to automated support and resistance analysis by combining structural pivot detection with volatility-adaptive zone construction and real-time breakout monitoring. By treating support and resistance as dynamic zones rather than static lines, and by automatically managing the lifecycle of each zone from creation through invalidation, this indicator eliminates the manual overhead of traditional S/R analysis while providing richer contextual information. Whether you are a day trader looking for precise intraday bounce zones, a swing trader identifying key structural levels for position entries, or a position trader monitoring major support and resistance breaks for trend confirmation, the Luminous Pivot S&R Matrix delivers a clean, self-managing, and visually intuitive framework for understanding where the market's key structural boundaries lie — and when they are being broken.
Pine Script®指標
由Pineify提供
Stop Loss Cascades (Breakouts) [Kioseff Trading]Hello friends and traders! 🔹Introduction This indicator " Stop-Loss Clustering (Breakouts) " attempts to model trader stop-loss placement logic and identify price areas where a large amount of stop losses might cluster. The idea is, if stop losses are indeed highly concentrated in a specific area, price extending through that area may produce high-velocity breakout conditions via forced order flow . I'll cover this topic more thoroughly throughout the description. For now, just know that stop loss location & size data is not publicly available . Any model of their concentration locations is highly assumptive. However, there's some reasonable academic research we can reference to make worthwhile estimates. Academic references supporting the concepts discussed are listed at the end of this description. To maintain readability, I won't cite individual statements inline. 🔹The Premise 🔸Liquidity, Behavior, and Stop Cascades Markets operate through a continuous limit order book , where two fundamental order types interact: Limit orders , which provide liquidity by resting in the book Market orders , which consume liquidity by exhausting those resting orders This mechanical interaction drives price movement - incoming order flow consuming available liquidity . This begs the question.. Does liquidity distribute evenly across the LOB? If it did : If liquidity were evenly distributed, price impact could be modeled as a relatively smooth function of incoming order flow. But it doesn’t : Liquidity is unevenly distributed. Academic research supports this claim and, regardless, this is an intuitive conclusion most traders arrive at. Liquidity forms localized concentrations and gaps. Liquidity concentrations are commonly referenced as: liquidity shelves , liquidity clusters , liquidity zones . Liquidity gaps are commonly referenced as: liquidity vacuums , thin book zones . As a result, identical order flow can produce very different price movements depending on the state of the order book. Let’s consider an example.. Assume price is trading at $99. The price levels $100, $101, $102 have resting sell limit order concentrations of 100. This is where you come in. You execute a market order buy for 300 size. Your order first exhausts all sell-side resting order concentrations at the $100 level. You still have 200 size that needs to be filled, and the ask price has moved from $100 to $101. Your order will now sequentially exhaust available liquidity at the $101 level, the ask price will increase to $102, and your final 100 size will exhaust the $102 level. To keep the example simple, we’ll say that your order moved price from $99 to $102, and now the ask price is $103. But, you still want to accumulate. The nearest sell-side levels in the LOB are $103, $104, $105. The $103 level has a sell limit order concentration of 500. $104 and $105 both have concentrations of 50. You execute your same market order buy for 300 size. This time, price doesn’t move.. At all.. Instead, you consumed 300 of the 500 size at $103 with your order, and the level remains a barrier. Your order was absorbed by available liquidity. This example demonstrates how price movement depends on available liquidity , not simply the size of incoming orders. In the first scenario, liquidity was thin and the order walked through multiple price levels, causing price to move quickly. In the second scenario, a large concentration of resting liquidity absorbed the same order, preventing price from advancing. 🔸Liquidity Does Not Distribute Evenly Alright, we understand that liquidity doesn’t distribute evenly. And we understand that high concentrations of liquidity can act as price barriers (liquidity shelves) while sparse liquidity can permit rapid price movement - we saw this in our example above. There’s an important question we should ask next before we move on.. If liquidity distributes unevenly, then where does it tend to cluster? And where does it tend to thin? Of course, knowing these tendencies provides multi-purpose advantages. If price approaches a liquidity vacuum - a local block of the order book with thin resting liquidity - rapid price movement can occur without requiring unusually strong aggressive order flow. If price approaches a liquidity shelf - a local block of the order book with thick resting liquidity - price can stall or contract even if the same level of aggressive order flow that previously moved price continues. With this in mind, order flow intensity alone does not determine price movement . The distribution of liquidity across surrounding price levels plays a similarly important role. So, is there any evidence of where liquidity tends to concentrate ? 🔸Empirical Observations Empirical research on limit order books shows that liquidity does not distribute smoothly across the LOB . Instead, depth tends to concentrate at specific price levels, producing irregular profiles with localized peaks in resting liquidity. These concentrations arise because order placement is not random . Traders frequently anchor decisions to widely observed reference prices such as: • prior highs • prior lows • round numbers • widely referenced price extremes Because many traders monitor the same price history, order placement decisions often reference similar price levels. This concept is simpler than it sounds. Let’s use market structure traders for example. Market structure traders frequently reference prior swing highs and swing lows when making decisions about entries, exits, and risk. A trader entering a long position may place their stop-loss below a recent swing low , reasoning that if price breaks that level, the trade idea is invalidated. A trader entering a short position may place their stop-loss above a recent swing high for the same reason. Timeframe price aggregation may differ; however, we’re all looking at roughly the same recent highs and lows when evaluating a chart (structure). When many traders collectively reference the same prices, orders may accumulate near those levels. This produces localized depth concentrations, which traders refer to as liquidity shelves . Liquidity shelves act as temporary barriers where the book contains disproportionately large resting liquidity compared to surrounding prices. 🔸Research documenting liquidity clustering includes : Bourghelle & Cellier (2007) , who find that limit orders cluster at prominent price levels (especially round numbers), creating localized depth concentrations that can act as price barriers. Kavajecz & Odders-White (2004) , who demonstrate that prices identified as support or resistance coincide with higher resting limit order depth These findings suggest that many commonly observed price levels may correspond to real concentrations of liquidity rather than being purely visual artifacts on a chart. Kavajecz & Odders-White (2004) is an important observation for support/resistance traders! Kavajecz & Odders-White (2004) show that levels traders commonly call support and resistance often align with areas where more limit orders are resting in the order book. This suggests a plausible mechanical pathway through which support and resistance levels can emerge! 🔸Liquidity Shelves and Price Interaction When liquidity clusters around a price level, the resulting liquidity shelf can influence how price behaves when it approaches that area. Price interaction with these shelves is state-dependent : If incoming order flow is absorbed, price may stall or reverse If resting liquidity is consumed, price may transition rapidly to the next liquidity zone Once a shelf is depleted, follow-through can accelerate due to thinner liquidity beyond the level Research on order book dynamics supports this mechanical view of price movement. For example: Jean-Philippe Bouchaud, J. Doyne Farmer, and Fabrizio Lillo (2009) demonstrate that price impact emerges from the interaction between order flow and finite liquidity From this perspective, price does not move simply because a level is crossed. Price moves because available liquidity at that level has been consumed. 🔸Latent Liquidity and Stop Clustering In addition to visible liquidity from limit orders, markets also contain latent liquidity . This is where ”Stop-Loss Clustering (Breakouts)” becomes important - we’re almost done! Latent liquidity consists of conditional orders such as stop-losses that are not visible in the order book until triggered . Although these orders aren’t public information, empirical studies show that stop orders tend to cluster near widely referenced price levels . Research by Carol Osler (2001, 2002) using institutional FX order data finds that stop-loss orders frequently accumulate just beyond salient price levels such as prior highs and lows. When these stops trigger, they convert into aggressive market orders and can generate bursts of directional order flow that may accelerate price movement. 🔸Stop-Loss Cascades Stop losses add another layer of latent order flow that isn’t visible in the order book until it triggers. If enough of them sit around the same price area.. Think “hidden pressure” waiting to activate. Nothing happens while price trades nearby, but once that level is traded at, those stops convert into market orders and immediately begin consuming available liquidity. This matters because stop placement is unlikely to be random in most instances. Traders frequently anchor stops to widely observed prices such as prior highs, prior lows, or other prominent structure points, or use volatility methods such as ATR, etc. So when price approaches one of these areas, two things can happen. If the resting liquidity there is large enough, the incoming orders can be absorbed and price may stall or reject. But if that liquidity gets consumed, the stops sitting just beyond the level begin triggering. Those triggered stops add additional market orders, which consume more liquidity and can push price further into the next layer of stops. This creates a cascading effect: price reaches a stop cluster stops trigger and convert into market orders liquidity gets consumed faster price moves further, triggering more stops When this chain reaction starts, price can transition very quickly from a slow battle near the level to rapid expansion through it. This is one of the mechanical reasons why some reference-point breaks barely move, while others accelerate rapidly. 🔹How It Works Now that we understand the why - let’s discuss how the indicator works. 🔸Absorbtion Extremes The image above shows the absorption extremes model. In this model, the indicator treats recent & relevant swing points as plausible stop clustering candidates. You can find similar swing point identification mechanics in other indicators. However, this model assigns subsequent volume to the swing level after its formation. There are limitations and assumptions - let’s go over them. The images above explain how the indicator determines the intensity of a possible stop-cluster around a swing level. There are limitations and assumptions 1: The indicator assigns all “directional volume” to a swing level after it’s formed and while it remains the closest active swing point to the current price. “Buy volume” is assigned to the closest active swing low. “Sell volume” is assigned to the closest active swing high. I say “buy volume” and “sell volume” because there’s assumptions on what constitutes the relevant classification. The indicators follow the traditional two-region tick model for classifying buy volume and sell volume. Higher close = “buy volume” proxy Lower close = “sell volume” proxy Depending on the granularity you select (the indicator is capable of using tick data), this model can be more/less accurate. However, even with tick-level data and bid/ask quotes, trade direction must still be inferred using classification rules. Because some trades occur inside the spread or involve hidden liquidity, perfect classification is not possible without exchange aggressor flags. For assumptions.. The model assigns ALL classified volume to the swing level. In reality, traders use a wide range of risk management methods, and not every position will place a stop loss directly at the most recent swing point. ATR-based stops, percentage-based stops, and other volatility-based methods are also common. Because the true distribution of stop placement is unobservable, the model assumes that positions entered are structurally invalidated at the closest swing level based on their classified direction. As a result, the values displayed by the indicator should be interpreted as relative proxies for potential stop concentration, rather than precise estimates of actual stop-loss size. The displayed magnitudes are intentionally exaggerated and comparative, designed to highlight where stop pressure may accumulate relative to other levels. The images above show how to interpret the indicator when using this model. The image above shows the triggered stop-cluster graph. Each point corresponds to a triggered stop-cluster - assuming it exists. The greater the size attached to that cluster, the further distant the data point is placed. Far away from zero line = large size. Close to zero line = low size. Radiating/glowing points indicate a potentially large cluster trigger. 🔸 Volatility-At-Entry Model (Time Scaled) The Volatility-At-Entry model uses ATR scaled by various timeframes to predict plausible stop loss placements. For this model, the indicator uses the same tick classification model to assign volume directionally. Volume is then dispersed across six common timeframes (1m, 5m, 15m, 30m, 1h, 4h) and 3 common ATR multiples for risk management (1ATR, 1.5ATR, 2ATR). This model assumes traders are entering positions across various timeframes and are scaling risk congruent with those timeframes. For instance, A trader using the 1-minute chart for opportunity is more likely to use a stop loss closer to entry than a trader using the 4-hour chart for opportunity. If this assumption is reasonable to you - great, we can move forward! The image above visualizes the model. Purple-shaded regions indicate a price area with less opportunity for stop loss clustering. Either transaction intensity around eligible price areas was low, or position accumulation wasn’t given sufficient time. Pink-shaded regions indicate a price area with greater opportunity for stop loss clustering. Volume was significant around these regions or price has traded within proximity for extended periods. This model naturally shows more future opportunity than historical outcomes. You can select to show historical outcomes in the settings, this image shows examples of such outcomes. The image above shows the triggered stop loss graph in effect for this model. Stop clustered are distributed across more price areas with this model - from low intensity to high intensity. Therefore, a cluster is almost always “triggering” to some degree. A classification model for what’s typical and what’s unusual is used for the graph in this case. Radiating points always indicate large stop clusters triggered. Anything within the green/pink line indicates usual size. Typical Move The image above explains the nearest cluster information table. The size and location of the nearest buy-stop cluster and sell-stop cluster are recorded. Additionally, the indicator identifies whether clusters of similar size were triggered in the past, and how price behaved following those events. Since all models here are highly assumptive, and similar sized clusters might only have one or two relative neighbors, treat these measurements as a description of history rather than a prediction. The model takes the logarithm of the current stop-volume (buy or sell) to normalize its scale and compare it with a historical dataset of previously observed stop-volume sizes that have also been log-scaled. It then identifies historical observations whose sizes are most similar to the current value, either by selecting all observations within a tolerance range around that value (where the range is based on the typical spacing between historical observations), or by selecting the single closest match. Finally, the model retrieves the historical price moves associated with those matched observations, producing a sample of “typical moves” that occurred when stop-volume magnitude was similar to the current situation. Ratio Meter The stop-cluster ratio meter shows the current sum of active and triggered all buy-side clusters and sell-side clusters. This meter is useful for quick scanning across assets to see if active or recently triggered stop clusters are lopsided. Additional Features The single most important setting outside model selection is the lower timeframe used to retrieve volume from. This setting is set to 1-minute data by default because it works with paid and free plans. If you want better granularity, I strongly suggest changing this setting to either 1-second or 1-tick. This will sacrifice the number of identifiable cluster locations, because better granularity data has less programmatically retrievable values. 🔹Closing Remarks Stop-loss clustering is an appealing concept because it offers a plausible explanation for why some breakouts accelerate so quickly while others stall. When a large number of conditional orders sit near the same price, a breakout through that area can trigger a cascade of market orders that rapidly consume liquidity and push price toward the next available zone. However, it’s important to remember that the models used in this indicator are approximations, not direct measurements. True stop-loss locations and sizes are not publicly observable, and many traders use different risk management techniques that cannot be perfectly inferred from chart data alone. The goal of this indicator is therefore not to identify exact stop locations, but to highlight price areas where stop pressure may plausibly accumulate relative to surrounding levels. Like any model based on behavioral assumptions and historical observations, results should be interpreted probabilistically. Large clusters do not guarantee breakouts, and small clusters do not guarantee quiet price behavior. Instead, the indicator is best used as a tool for context and situational awareness. References General Microstructure and Price Formation Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205–258. O'Hara, M. (1995). Market Microstructure Theory. Blackwell. Biais, B., Glosten, L., & Spatt, C. (2005). Market microstructure: A survey of microfoundations, empirical results, and policy implications. Journal of Financial Markets, 8(2), 217–264. Limit Order Books and Liquidity as Resting Orders Gould, M. D., Porter, M. A., Williams, S., McDonald, M., Fenn, D. J., & Howison, S. D. (2013). Limit order books. Quantitative Finance, 13(11), 1709–1742. Rosu, I. (2009). A dynamic model of the limit order book. Review of Financial Studies, 22(11), 4601–4641. Biais, B., Hillion, P., & Spatt, C. (1995). An empirical analysis of the limit order book and the order flow in the Paris Bourse. Journal of Finance, 50(5), 1655–1689. Liquidity Clustering and Depth Concentration Kavajecz, K. A., & Odders-White, E. R. (2004). Technical analysis and liquidity provision. Review of Financial Studies, 17(4), 1043–1071. Bourghelle, D., & Cellier, A. (2007). Limit order clustering and price barriers on financial markets. Working paper / SSRN. Order Flow and Price Impact Bouchaud, J.-P., Farmer, J. D., & Lillo, F. (2009). How markets slowly digest changes in supply and demand. In Handbook of Financial Markets: Dynamics and Evolution. Stop Orders and Price Cascades Osler, C. L. (2003). Currency orders and exchange-rate dynamics: Explaining the success of technical analysis. Journal of Finance, 58(5), 1791–1819. Osler, C. L. (2005). Stop-loss orders and price cascades in currency markets. Journal of International Money and Finance, 24(2), 219–241. Liquidity Provision and Execution Ho, T., & Stoll, H. (1981). Optimal dealer pricing under transactions and return uncertainty. Journal of Financial Economics, 9(1), 47–73. Almgren, R., & Chriss, N. (2000). Optimal execution of portfolio transactions. Journal of Risk, 3(2), 5–39. Menkveld, A. J. (2013). High frequency trading and the new market makers. Journal of Financial Markets, 16(4), 712–740. Behavioral Anchoring and Attention Kahneman, D., & Tversky, A. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. Barber, B. M., & Odean, T. (2008). All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. Review of Financial Studies, 21(2), 785–818. George, T. J., & Hwang, C. Y. (2004). The 52-week high and momentum investing. Journal of Finance, 59(5), 2145–2176. Mizrach, B., & Weerts, S. (2007). Highs and lows: A behavioral and technical analysis. SSRN working paper.
Pine Script®指標
由KioseffTrading提供
5
OB + Big Trades Signal# OB + Big Trades Signal Indicator ## Overview The **OB + Big Trades Signal** indicator combines three powerful concepts into a single, clean signal layer: **Volume-based Order Blocks**, a **Big Trades (Whale) Detector**, and a **Daily VWAP filter**. A signal is only generated when all three conditions align — significantly reducing noise and increasing the quality of each entry. --- ## How It Works ### 1. Order Blocks with Volume Order Blocks are price zones where a consolidation phase was followed by a strong breakout candle with above-average volume. These zones represent areas where institutional participants placed significant orders, and price tends to react when revisiting them. - **Bullish Order Block** — forms when a consolidation is broken to the upside with high volume. Marks potential support / demand zones. - **Bearish Order Block** — forms when a consolidation is broken to the downside with high volume. Marks potential resistance / supply zones. Order Blocks are automatically removed ("mitigated") when price trades through them, keeping the chart clean and relevant. ### 2. Big Trades Detector The Big Trades component analyzes intrabar volume intensity using a statistical model. It splits each candle's volume into estimated **buy pressure** and **sell pressure** based on the candle's close position within its range. A trade is classified as a "Big Trade" when its volume deviates significantly from the recent average — specifically beyond a configurable multiple of the standard deviation (sigma). - **Big Buy** — abnormally high buying pressure on the current bar - **Big Sell** — abnormally high selling pressure on the current bar Three tiers of intensity are detected (T1, T2, T3), with T3 representing the most extreme whale activity. ### 3. Daily VWAP Filter The Volume Weighted Average Price (VWAP) resets every day at 00:00 UTC. It acts as a directional bias filter: - Price **above** VWAP → bullish bias → only Long signals are allowed - Price **below** VWAP → bearish bias → only Short signals are allowed --- ## Signal Logic | Signal | Conditions Required | |--------|-------------------| | **LONG** | Big Buy detected + Price near/inside a Bullish Order Block + Price above Daily VWAP | | **SHORT** | Big Sell detected + Price near/inside a Bearish Order Block + Price below Daily VWAP | All three conditions must be true simultaneously for a signal to appear. --- ## Settings ### Order Blocks | Parameter | Description | |-----------|-------------| | Consolidation Lookback | Number of bars to evaluate for consolidation detection | | Breakout Threshold % | Minimum breakout strength required to form an Order Block | | Maximum Order Blocks | Maximum number of active Order Blocks shown on the chart | | OB Proximity % | How close (in %) price must be to an Order Block to trigger a signal | ### Volume (Order Blocks) | Parameter | Description | |-----------|-------------| | Volume Calculation Method | Simple, Relative, or Weighted volume comparison | | Volume Lookback Period | Lookback for average volume calculation | | Volume Threshold Multiplier | Minimum volume multiple required to confirm an Order Block | ### Big Trades Detector | Parameter | Description | |-----------|-------------| | Lookback Period | Baseline period for statistical volume analysis | | Sensitivity (Sigma) | Standard deviation multiplier — higher = fewer but more extreme signals | ### VWAP & Display | Parameter | Description | |-----------|-------------| | Show Daily VWAP | Toggle VWAP line visibility | | VWAP Color | Color of the VWAP line | | Show Order Blocks | Toggle Order Block boxes on/off | ### Signal Labels | Parameter | Description | |-----------|-------------| | Long / Short Label Color | Background color of the signal label | | Long / Short Text Color | Text color of the signal label | | Label Size | Tiny / Small / Normal / Large / Huge | | Background Highlight | Tints the bar background when a signal fires | ### Alert Options | Parameter | Description | |-----------|-------------| | Signal Direction | Filter alerts to Long + Short, Only Long, or Only Short | | Push Notification | Sends a push alert via `alert()` directly — no manual alert setup needed | | Enable Time Window | Restricts alerts to a defined time range | | From / To Hour & Minute (UTC) | Start and end of the active alert window in UTC | > **Time zone note:** The time window runs in UTC. Adjust for your local time zone when setting the hours (e.g. CET = UTC+1, so subtract 1 hour). --- ## Alerts Available The indicator provides **9 alert conditions** selectable in the TradingView alert dialog: 1. `LONG – OB + Big Buy + VWAP` — Full Long signal (all filters active) 2. `SHORT – OB + Big Sell + VWAP` — Full Short signal (all filters active) 3. `Signal (Long or Short)` — Either direction 4. `Big Buy detected (unfiltered)` — Big Buy only, no OB/VWAP filter 5. `Big Sell detected (unfiltered)` — Big Sell only, no OB/VWAP filter 6. `Price in Bullish OB Zone (above VWAP)` — Price enters demand zone 7. `Price in Bearish OB Zone (below VWAP)` — Price enters supply zone 8. `Price crosses VWAP upward` — Bullish VWAP crossover 9. `Price crosses VWAP downward` — Bearish VWAP crossover All signal alerts include an **anti-spam filter** — each alert fires only once per bar regardless of how many ticks meet the condition. --- ## Tips & Recommendations - **Timeframe:** Works best on 5m–1h charts. Lower timeframes produce more signals; higher timeframes produce fewer but more significant ones. - **Sensitivity tuning:** Start with Sigma = 3.0. Increase to 3.5–4.0 for stricter, less frequent signals. Decrease to 2.0–2.5 for more activity. - **OB Proximity:** Set tighter (0.05–0.10%) for precise entries, wider (0.20–0.30%) if you want signals slightly ahead of the zone. - **Push alerts:** Enable the Push Notification toggle and set your time window to only receive alerts during your active trading hours — no noise outside your session. - **Combine with trend context:** For best results, trade Long signals during uptrends and Short signals during downtrends on a higher timeframe. --- ## Disclaimer This indicator is a tool to assist analysis and does not constitute financial advice. Past signal performance is not indicative of future results. Always use proper risk management.
Pine Script®指標
由kle1ngeistlich提供
QuantumPips KAMA Trend Continuation ZonesQuantumPips KAMA Zones is a chart overlay for decision-making. Its purpose is to help you answer three questions before you take a trade: What’s the market’s current pressure? (Bias) Where is price most likely to rebalance? (Value) Is the market expanding or compressing? (Regime) What you see on the chart 1) The Main Line (KAMA Slow) = “Pressure Line” This is a manually calculated Kaufman Adaptive Moving Average. It adapts to market behaviour: It becomes more responsive in clean directional movement. It smooths out when price becomes noisy. How to use it If price holds above it and it slopes up → bullish pressure. If price holds below it and it slopes down → bearish pressure. If it’s flat or price is repeatedly crossing it → neutral / messy environment. 2) The Shaded Band (Fast↔Slow KAMA) = “Value Zone” The band between the fast and slow KAMA is your value area. This is where price often “checks back” during directional movement. How to use it When price pulls back into the band, you watch for your own trigger (rejection candle, structure reclaim, etc.). If price cannot respect the band and keeps pushing through it, the market is usually rotating deeper and conditions are less clean. Simple mental model Outside the band = extension Inside the band = rebalance / decision area 3) Volatility Bands + Background = “Market Mode” The outer bands show volatility around the slow KAMA, and the background classifies the environment: Trend Mode = the volatility envelope is expanding relative to its baseline Chop Mode = volatility is compressed or below baseline How to use it Trend Mode → your directional ideas have a better environment to play out. Chop Mode → be selective; markets often fake out and mean-revert more. The Panel (top-right) — what each item means Bias A simple read of directional pressure (Bullish / Bearish / Neutral) based on slow KAMA slope and price location. Regime The script compares current band width to a baseline: Trend Mode = expansion Chop Mode = compression Strength A normalized score showing how strongly the slow KAMA is moving relative to ATR. Think of it as “trend push”. Beginner guide Low Strength = drifting/flat Medium Strength = steady directional flow High Strength = strong directional push (often best for continuation-style moves) Vol Width Volatility envelope width normalized by ATR. Think of it as “how much room the market is giving you.” Beginner guide Low Vol Width = tight conditions / compression Rising Vol Width = expansion phase (often where trends start moving) High Vol Width = active volatility (moves can be fast) How a beginner can use this (step-by-step) Step 1 — Check “Mode” If it’s Chop Mode, avoid forcing trades. If it’s Trend Mode, it’s worth looking for setups. Step 2 — Align with Bias Prefer trade ideas in the direction of the Bias. Step 3 — Use the Value Zone as your “planning area” Watch what happens when price returns into the shaded band. You enter only using your own trigger (price action / structure / session timing).
Pine Script®指標
由QuantumPipsio提供
Volume Momentum Breakout + TP/SL█ OVERVIEW “Volume Momentum Breakout + TP/SL” is an indicator that searches for breakouts with high volume, but only those supported by strong momentum. Instead of classical consolidation structures, it identifies key levels based on the volume momentum oscillator (vwoNorm). Two operating modes are available: • one that takes into account every breakout of the OB/OS level, • the second, which considers only those breakouts that are larger than previous oscillator pivots. █ CONCEPT The indicator was created as a tool to filter truly significant volume breakouts. Candles with higher volume appear frequently, and it is important to know which places are really meaningful. This indicator combines volume breakouts with growing momentum and therefore gives signals that something is happening before the market structure confirms it. It compares the current volume to its average and standard deviation, multiplies the result by the price change (priceChange), and then normalizes the whole into an oscillator (vwoNorm). Thanks to this, a breakout is not just an ordinary volume increase, but a signal of strong, confirmed momentum — only after additional price confirmation (box breakout) does the entry signal appear. █ FEATURES Main Settings - Operation Mode – choice of signal generation mode - Average Volume Window – volume average window for normalization (longer period usually gives fewer signals, but they are of better quality) - Positive OB Level / Negative OS Level – overbought and oversold levels - Pivot Left/Right Length – pivot lengths (only in pivot mode) - Price Level Filter – compares the current closing price with the closing price of the previous pivot and blocks signals inconsistent with the direction (eliminates false breakouts) - Max. Pivot Line Length – maximum pivot line length (0 = no limit) TP/SL Settings - Show TP/SL – enabling target display - SL = ATR × instead of % – choice of Stop Loss calculation method - ATR Period / SL ATR Multiplier / SL % from Entry - RR Tp1 / Tp2 / Tp3 – Risk-to-Reward ratios for three TP levels - Visibility toggles: SL, TP1, TP2, TP3 Colors - Oscillator Color, Zero Line Color, Upper/Lower Band Color, Gradient Color - Bull/Bear Color – colors for bull/bear (lines + boxes + background + triangles) How boxes work On the candle where the signal appeared (pivot breakout or OB/OS crossover), a box is created spanning the entire high-low range of that candle. The box is then automatically extended to the right until the price closes outside its upper or lower boundary. The breakout is not filtered by the color of the candle the box is built on — only closing outside the box counts. Breakout Functions - breakUp: upper box breakout (LONG signal); small green triangles below the bar - breakDown: lower box breakout (SHORT signal); small red triangles above the bar Visualization - oscillator line with gradient fill between OB/OS levels - horizontal pivot lines (bull/bear color, frozen after breakout) - price boxes extending until confirmation - automatic TP/SL lines with risk and reward fill Automatic Take Profit & Stop Loss - two SL calculation modes:   • ATR-based (default 1.5× ATR)   • percentage from entry price - up to 3 Take Profit levels based on RR ratios - independent visibility toggles for SL, TP1, TP2, TP3 Single Active Trade Logic - TP/SL levels lock after hitting SL or the furthest TP - lines end exactly on the exit bar (SL or TP) Alerts - Bull Breakout – bullish box breakout - Bear Breakout – bearish box breakout █ APPLICATIONS - Breakout and momentum trading on all timeframes - Best used as an entry trigger, not as a standalone strategy Example usage: First check the broader market context (trend from higher timeframe), then on the lower interval verify whether momentum is not weakening. Check support and resistance levels to avoid opening positions right under strong resistance and optionally adjust SL and TP levels to the market structure. The indicator does not work on markets where volume data is not provided. █ NOTES The indicator does not interpret market structure — its sole purpose is to identify clean breakouts based on volume momentum with additional confirmation through price breakout. Always test and optimize parameters for the specific instrument and timeframe. It performs best on high-volatility instruments.
Pine Script®指標
由Uncle_the_shooter提供
MyTradeEdge.com Pro Levels & Zones [MTE]MyTradeEdge.com Pro Levels & Zones An all-in-one futures trading overlay that combines supply & demand zones, multi-session key levels, and confluence-scored buy/sell signals on a single chart. Features Supply & Demand Zones Automatically detects institutional supply (red) and demand (green) zones using 60-minute pivot structure. Zones extend in real-time and are removed when invalidated by price or age. Configurable minimum zone size and max zone age. Confluence-Scored Signals Buy and sell signals fire when price enters a fresh zone, rated 1-5 stars based on how many factors align: Volume delta direction VWAP proximity and trend bias Nearby key levels (PDH/PDL, PMH/PML, POC, London session) Higher star ratings = higher conviction setups. A built-in cooldown prevents signal spam. Session Levels London & Asia session highs/lows displayed as live-updating steplines Pre-market (PMH/PML) and overnight (ONH/ONL) ranges Opening Print captured at RTH open Key Levels Toggle any combination of: PDH, PDL, PDC, PMH, PML, PWH, PWL, ONH, ONL, Opening Print — drawn as clean dashed lines with price labels. Additional Tools (off by default) VWAP — standard anchored to session POC — intraday volume Point of Control Fair Value Gaps — bullish/bearish imbalances with configurable minimum size Opening Range (ORB) — 15 or 30 minute RTH opening range box Recommended Use Instruments: NQ, ES, and other futures (zone size defaults tuned for NQ) Timeframes: 1-15 min intraday charts Workflow: Use zones + key level confluence to identify high-probability entries. Look for 4-5 star signals at levels where multiple references converge. Settings All features are independently toggleable. Defaults are optimized for NQ on a 5-minute chart. Adjust "Min Zone Size" for your instrument (NQ: 20-50 pts, ES: 5-15 pts). Adjust the instrument recommendations or workflow section if you want to target a broader audience beyond futures.
Pine Script®指標
由blu3manx提供
TRSI Div+ combines RSI overbought/oversold context, regular + hidden divergence signals, and a trend “ribbon” filter into one clean overlay. Divergences are drawn directly on price: Bullish Divergence (price makes a lower low while RSI makes a higher low) Bearish Divergence (price makes a higher high while RSI makes a lower high) Hidden Bullish / Hidden Bearish divergences (trend-continuation variants) Pivot dots help visualize the swing points used to confirm divergence. Optional OB/OS bar tint highlights potential exhaustion zones. The Ribbon Trend provides a quick visual read on market direction (up / down / neutral) and can be used as a confirmation filter. Multiple themes let you quickly change the look of all plotted elements. Note: This indicator is for educational and informational purposes only and does not constitute financial advice. Always manage risk. 4 Ways to Use It for Trading Bullish #1 | Bullish Divergence + Ribbon Flip (Reversal Entry) Setup Price prints a lower low RSI prints a higher low → Bull Div prints Ribbon transitions to Up (or at least neutral) Trade idea Entry: On the next bullish candle close after the divergence prints, ideally as ribbon turns up. Stop: Below the divergence swing low. Target: Prior swing high / resistance or trail as ribbon stays up. Bullish #2 | Hidden Bullish Divergence (Trend Continuation) Setup Ribbon is Up Price makes a higher low RSI makes a lower low → Hid Bull prints Trade idea Entry: On a break above the candle that forms after the hidden divergence. Stop: Below the higher-low pivot. Target: New high extension, or scale out at prior highs while ribbon remains up. Bearish #1 | Bearish Divergence + Ribbon Down (Reversal Entry) Setup Price prints a higher high RSI prints a lower high → Bear Div prints Ribbon transitions to Down (or at least neutral → down) Trade idea Entry: On the next bearish candle close after divergence, ideally with ribbon turning down. Stop: Above the divergence swing high. Target: Prior swing low / support or trail as ribbon stays down. Bearish #2 | Hidden Bearish Divergence (Trend Continuation) Setup Ribbon is Down Price makes a lower high RSI makes a higher high → Hid Bear prints Trade idea
Pine Script®指標
由sudhirfull提供
Adaptive Bollinger Bands [by Oberlunar]Adaptive Bollinger Bands by Oberlunar extends a classical Bollinger-style framework by building structured envelopes on highs and lows and then interpreting them through flow and regime context rather than through band touches alone. The script combines two moving-average bases, adaptive volume-distribution logic above and below price, a normalized TRIX component, and a multi-timeframe directional filter to distinguish between mean-reversion conditions and breakout conditions in a more organized way. Its original value is not in any single component taken in isolation, but in the way these elements are fused into one coherent visual system. The bands define the price structure, the heatmap and tape show where directional pressure is stronger, the regime engine helps separate quieter rejection environments from more persistent expansion, and the support, resistance, and compression areas help mark zones where market behavior becomes more interpretable. The indicator is designed to be read directly on standard charts. It does not use future-looking logic, and higher-timeframe requests are made with no lookahead. It is meant as a decision-support tool for chart reading, not as a promise of performance or as a substitute for risk management. A common way to use the script is to observe how price behaves when it reaches the outer parts of the envelope and then compare that location with the active regime, the side-specific flow, and the multi-timeframe bias. In quieter conditions, signals near the edge of the channel can be interpreted as possible rejection areas. In stronger directional conditions, the same area can instead be read as part of a continuation or breakout sequence. The heatmap and tape help show whether pressure is building above or below price, while the marked zones can help the user keep track of relevant local structure. Enjoy by Oberlunar ✦👁
Pine Script®指標
由oberlunar_tr提供
RVWAP Mean Reversion StrategyAfter reading "Everyone uses VWAP wrong" by EdgeTools I had to built a quick Rolling VWAP Mean Reversion Strategy. I took the TradingView Rolling VWAP indicator and defined simple long and short entry conditions. The strategy takes long positions if we dip below the lower band of the RVWAP standard deviation and then crossover and close above. For shorts, if we crossunder and close below the upper band, we enter a short trade. For both longs and shorts we exit the position after crossing the RVWAP. The strategy quickly showed its amazing potential. By tweaking the rolling period and the first standard deviation, you can create some amazing backtests. High win rates are usual and expected, as price always returns to the volume weighted mean average. Depending on the configuration, the Sharp and Sortino ratio indicate a real edge. Though fast declines and rises in the underlying asset may result in bigger drawdowns. I built in the possibility to chose which direction you want to trade. So you can go only long or only short. I also included a tool to define your own backtesting range, as the inbuilt tradingview backtester isn't optimized for that in my opinion. I highly encourage you, to take the code, make a copy and add your own ideas. You may want to have different standard deviations for long and short entries, or you want to define entries with simple crosses. The code is easily edited as long as you don't touch the indicator. If you got this far reading you absolutely must look into "Everyone uses VWAP wrong"!
Pine Script®策略
由vvedding提供
VWAP - Multi ---- YONICMulti-Timeframe VWAP Stack (Monthly / Weekly / Daily / 1H) This indicator plots multiple anchored VWAPs across key timeframes in a single script, allowing traders to quickly see higher-timeframe value areas and intraday mean levels without adding several separate indicators. The script calculates custom cumulative VWAPs that reset at the start of each timeframe period, providing clear reference levels for market structure, mean reversion, and trend bias. Included VWAP Levels Monthly VWAP Weekly VWAP Daily VWAP 1 Hour VWAP Each VWAP is calculated independently and resets automatically when its respective timeframe begins. Key Features • All VWAPs in one indicator – reduces chart clutter • Dynamic labels that display the VWAP name and current price level • Adjustable label offset so labels appear clearly on the right side of the chart • Clean visualization of multi-timeframe value levels • Works on any chart timeframe How Traders Commonly Use These Levels VWAP levels often act as dynamic support and resistance where price tends to react. Typical uses include: Identifying mean reversion opportunities Determining trend bias relative to higher timeframe VWAPs Watching for VWAP reclaims or rejections Finding confluence between multiple VWAP levels Using VWAP levels as targets or invalidation points When several VWAPs cluster together, these areas can often become high-interest zones for liquidity and price reactions. Notes This indicator uses a custom VWAP calculation based on cumulative price × volume divided by cumulative volume, resetting at the beginning of each timeframe period.
Pine Script®指標
由jonathanchaston提供
VWAP Rejection + CISD AlertVWAP Rejection + CISD Alert — Full Backtest Table + Entry Time Window This powerful intraday ICT-style indicator automatically detects high-probability VWAP Rejection + CISD setups and gives you everything you need to trade them with precise risk management. Strategy Rules (all must align): VWAP Rejection: Candle body fully above VWAP (bullish) or below VWAP (bearish) with a wick touching VWAP. CISD Confirmation: Strong reversal candle after minimum consecutive opposite candles (default 2), breaking the prior high/low, and occurring within max bars after rejection (default 2). Extra Filters: CISD candle must open above VWAP (longs) or below VWAP (shorts). CISD candle must close above/below your chosen Moving Average (SMA/EMA/WMA/VWMA – fully adjustable). Entry: At the open of the very next candle after CISD confirmation. Stop Loss: Choose between: Open of the CISD candle (original) Extreme wick of the VWAP rejection candle (low for longs / high for shorts) Take Profit: User-defined multiplier (default 2R) from entry. Visuals & Tools: Small REJ↑ / REJ↓ labels on rejection candles Large lime/fuchsia CISD↑ / CISD↓ triangles on confirmation Detailed ENTRY LONG/SHORT labels showing exact Open, SL, and TP prices Horizontal lines (Entry dashed blue, SL red, TP green) starting at the CISD candle and automatically stopping when price hits SL or TP Yellow TP and Blue SL hit triangles marking exact exit candles Live Performance Table (top-right) showing: Total Trades Wins / Losses Win Rate % Current TP Multiplier Key Inputs: CISD Settings: Min consecutive candles, Max bars after rejection Risk Management: TP Multiplier, SL Placement (2 options) Moving Average Filter: Length + Type (SMA/EMA/WMA/VWMA) Time Filter: Entry Time Window (default 8:00–11:00 AM EST) Visual toggles for labels, lines, and CISD shapes Alerts: Set alerts on “CISD Confirmed → LONG Setup” or “SHORT Setup”. Alerts fire the moment the CISD candle closes — perfect timing to enter at the next open. Ideal for 1m–15m charts on indices, forex, and futures. Combines classic VWAP rejection with ICT CISD concepts plus strict filters for cleaner, higher-probability trades.
Pine Script®指標
由Resonant_Trader提供
PRO V7 Smart Money Suite (BTC + GOLD) | NEXOUS_clTechnical Overview Ο δείκτης αποτελείται από πέντε βασικά modules: Core Trend Engine Supertrend για κατεύθυνση αγοράς VWAP για intraday fair value RSI για momentum confirmation Smart Money Structure Break of Structure (BOS) Liquidity Sweeps Market Maker Trap Detection Order Block Engine Institutional Filters Whale Activity Detection μέσω volume spikes Session Engine (Asia, London, New York) Liquidity Analytics Liquidity Heatmap Sweep clusters Order block zones AI Probability Engine Ένα adaptive scoring σύστημα που συνδυάζει: trend momentum liquidity events market structure institutional filters Technical Overview Ο δείκτης αποτελείται από πέντε βασικά modules: Core Trend Engine Supertrend για κατεύθυνση αγοράς VWAP για intraday fair value RSI για momentum confirmation Smart Money Structure Break of Structure (BOS) Liquidity Sweeps Market Maker Trap Detection Order Block Engine Institutional Filters Whale Activity Detection μέσω volume spikes Session Engine (Asia, London, New York) Liquidity Analytics Liquidity Heatmap Sweep clusters Order block zones AI Probability Engine Ένα adaptive scoring σύστημα που συνδυάζει: trend momentum liquidity events market structure institutional filters
Pine Script®指標
由NEXOUS_cl提供
MA with Institutional twist I. How to Trade It (Brief Summary) This indicator is a pure trend-continuation tool. It tells you exactly when a trend is healthy, when it is dying, and exactly where institutions are stepping in to defend the trend. Step 1: Check the Regime (Color). * 🟢 Green Line: The market is in an uptrend. Only look for Buy setups. 🔴 Red Line: The market is in a downtrend. Only look for Sell setups. ⚪ Gray Line: The market is sideways/choppy. Do not trade. Step 2: Wait for the Pullback. Don't chase big green or red candles. Wait for the price to fall back and touch the Moving Average line. Step 3: Enter on the "ADD" Arrow. The script will print an ADD label only if the price touches the line, completely rejects it (stays on the correct side), and displays institutional footprints (volume and wick absorption). Stop Loss: Place your stop loss just past the wick of the signal candle. II. Customization Definitions (What Every Setting Does) When you open the indicator settings (the gear icon), here is exactly what you are controlling: MA Type & Length (e.g., EMA, 40): The core baseline. 40 is a highly respected institutional moving average length. EMA reacts faster to recent prices than SMA. Slope Lookback (Bars): How many candles back the script looks to calculate the angle of the line. A setting of 5 means it compares the current MA value to the MA 5 candles ago. A higher number (like 10) creates a smoother, less jumpy line. Flatness Threshold (%): The most important whipsaw filter! If you set this to 0.05%, the Moving Average must be tilting up or down by more than 0.05% to turn Green or Red. If it's flatter than that, it turns Gray. Require Volume Spike? (Toggle): When checked, it forces the script to check if the volume on the bounce candle is higher than the average volume. (Note: Must be unchecked if trading Spot Nifty, as spot charts have no volume). Volume Spike Multiplier: A setting of 1.2 means the bounce candle must have 20% more volume than the recent average to prove institutions are active. Require Wick Rejection? (Toggle): When checked, forces the script to look for a long wick (tail) piercing the MA, proving that buyers/sellers absorbed the opposite pressure. Wick-to-Body Ratio: A setting of 1.5 means the wick must be one-and-a-half times larger than the colored body of the candle. III. Settings Guide by Timeframe Because a 1% move on a 5-minute chart is huge, but a 1% move on a Monthly chart is tiny, you must adjust your Slope & Flatness settings depending on your timeframe. Here are the optimal starting defaults for Nifty: 1. Intraday Trading (5 Min / 15 Min) You need the indicator to react quickly to intraday momentum, but still filter out the midday sideways chop. MA Length: 40 to 50 Slope Lookback: 3 to 5 (Keeps it highly responsive) Flatness Threshold: 0.02% to 0.05% (Intraday slopes are very subtle) Volume Spike: 1.2x Wick Ratio: 1.2x to 1.5x 2. Swing Trading (Daily Chart) This is exactly what you showed in your screenshot. You want to capture multi-day trends and ignore daily noise. MA Length: 20 or 40 Slope Lookback: 5 to 10 Flatness Threshold: 0.05% to 0.15% (Forces the daily trend to be clearly established before turning Green/Red) Volume Spike: 1.2x Wick Ratio: 1.5x 3. Positional Trading (Weekly Chart) Weekly swings take weeks to develop. You want to ride massive macro trends. MA Length: 20 to 40 Slope Lookback: 3 to 5 Flatness Threshold: 0.20% to 0.40% Volume Spike: 1.1x to 1.2x Wick Ratio: 1.5x to 2.0x (Weekly wicks are massive indicators of macro reversals) 4. Long-Term Investing (Monthly Chart) For holding assets for years. MA Length: 10 to 20 Slope Lookback: 3 Flatness Threshold: 0.50% to 1.00% Volume Spike: Optional (Macro trends are often slow and steady) Wick Ratio: 1.5x
Pine Script®指標
由moodyankit提供
VWAP Volume Analyzer (Wyckoff) | Capitan-TradingMost traders focus only on price. But price shows what happened , not necessarily why it happened . Volume reveals participation. The Anchored VWAP Volume Analyzer (Wyckoff Concept) is designed to help traders visualize market participation and better contextualize price movements using anchored volume analysis and VWAP-based structure. Inspired by Wyckoff principles , this indicator focuses on the relationship between price, effort, and participation , helping traders assess whether a move is supported by real market participation or simply driven by short-term volatility. Instead of relying on traditional volume bars that only color based on the candle close, this tool analyzes the internal structure of each candle to provide a more realistic interpretation of buying and selling pressure. The objective is simple: to offer a clearer and more informative way to read market behavior. --- Key Features Anchored VWAP with Dynamic Value Ribbon At the core of the indicator is a user-anchored VWAP . Around it, the script plots a dynamic ribbon based on standard deviation , representing the value area of the selected range. The ribbon adapts to price positioning relative to VWAP, helping visualize directional bias and potential reaction zones . --- Smart Volume Parsing The script separates dominant buying or selling pressure from minor internal activity using a True Range based proxy calculation . This provides a clearer view of intrabar participation compared to traditional volume indicators. --- Reactivity Engine Beyond historical anchored volume, the indicator measures recent participation momentum using a configurable lookback period . This helps distinguish fresh market activity from older historical volume. --- Quantitative Candle Colorization Chart candles can optionally synchronize with the underlying volume structure, highlighting phases of: • Accumulation • Distribution • Neutral market conditions --- On-Chart Dashboard A compact HUD dashboard displays key metrics directly on the chart: • Net Volume • Smart Net Volume • Buy vs Sell pressure • Distance from the anchored VWAP This allows traders to quickly evaluate market participation without leaving the chart. --- How to Use It Simply anchor the indicator to a meaningful market point, such as: • a significant swing high or swing low • the start of a trading session • the beginning of a structural move • the start of a range or consolidation phase (Wyckoff Phase A) From there, observe how price behaves around the VWAP and how participation evolves within the value ribbon. --- This is the LITE version of the Capitan Trading quantitative suite. Designed to remain clean, fast and practical while offering a professional perspective on volume-based market context and Wyckoff-style analysis . Disclaimer: This indicator is a technical analysis tool and does not constitute financial advice. ________________________________________________________________________ # VERSIONE ITALIANA Descrizione Molti trader osservano soltanto il prezzo. Ma il prezzo mostra cosa è successo , non sempre perché è successo . I volumi rivelano la partecipazione del mercato. L’ Anchored VWAP Volume Analyzer (Wyckoff Concept) è progettato per aiutare i trader a visualizzare la partecipazione del mercato e a contestualizzare meglio i movimenti del prezzo attraverso un’analisi volumetrica ancorata basata sul VWAP. Ispirato ai principi di Wyckoff , questo indicatore si concentra sulla relazione tra prezzo, sforzo e partecipazione , aiutando a capire se un movimento è sostenuto da una reale attività di mercato oppure se è semplicemente guidato da volatilità di breve periodo. Invece di affidarsi alle classiche barre di volume colorate solo in base alla chiusura della candela, questo strumento analizza la struttura interna di ogni candela per fornire una lettura più realistica della pressione di acquisto e vendita. L’obiettivo è semplice: offrire un modo più chiaro e informativo per leggere il comportamento del mercato. --- Caratteristiche principali VWAP ancorato con Value Ribbon dinamico Il cuore dell’indicatore è un VWAP ancorabile dall’utente . Attorno ad esso viene tracciato un ribbon dinamico basato sulla deviazione standard che rappresenta la value area del range selezionato. Il ribbon si adatta alla posizione del prezzo rispetto al VWAP, aiutando a visualizzare bias direzionale e possibili zone di reazione . --- Analisi intelligente dei volumi Lo script separa la pressione dominante di acquisto o vendita dall’attività interna minore utilizzando un proxy basato sul True Range . Questo consente una lettura più chiara della partecipazione intrabar rispetto ai classici indicatori di volume. --- Motore di reattività Oltre al volume storico ancorato, l’indicatore misura anche il momentum recente della partecipazione utilizzando un periodo di lookback configurabile . Questo aiuta a distinguere l’ attività più recente dal volume storico passato. --- Colorazione quantitativa delle candele Le candele del grafico possono essere sincronizzate con la struttura volumetrica sottostante, evidenziando fasi di: • Accumulo • Distribuzione • Neutralità --- Dashboard sul grafico Una dashboard compatta mostra direttamente sul grafico alcune metriche chiave: • Volume netto • Smart Net Volume • Pressione Buy vs Sell • Distanza dal VWAP ancorato Questo permette di valutare rapidamente la partecipazione del mercato senza lasciare il grafico. --- Come utilizzarlo È sufficiente ancorare l’indicatore a un punto rilevante del mercato, ad esempio: • un massimo o minimo significativo • l’ inizio di una sessione di trading • l’ inizio di un movimento strutturale • l’ inizio di una zona di range o consolidamento (Fase A, Wyckoff) Da quel momento è possibile osservare come il prezzo reagisce attorno al VWAP e come evolve la partecipazione all’interno del ribbon. --- Questa è la versione LITE della suite quantitativa Capitan Trading. Pulita, veloce ed essenziale per offrire una lettura professionale del contesto di mercato attraverso analisi dei volumi e logica Wyckoff . Disclaimer: Questo indicatore è uno strumento di analisi tecnica e non costituisce consiglio finanziario.
Pine Script®指標
由capitan-trading提供
2
TLADe Session AVWAP - Anchored VWAP by Market SessionAuto-resetting Anchored VWAP for Asia, Europe, and US sessions + US Previous Day. Zero setup, works out of the box. █ WHAT IT DOES Four Anchored VWAPs that auto-reset daily at each session open: 🟠 ASIA — 00:00 UTC (Globex rollover / Tokyo) 🟢 EUROPE — 08:00 UTC (European cash open) 🔵 USA — 15:30 UTC (US cash open / 9:30 ET) 🔵 USA PD — Previous day US session (anchored from yesterday's 15:30) Each session AVWAP only appears when its session has started today. No stale data from yesterday bleeding into the morning. █ USA PREVIOUS DAY — WHY IT MATTERS The USA PD line is not a static level — it's a live AVWAP anchored from yesterday's 15:30 that keeps digesting volume. It shows where yesterday's US institutional flow is still pulling price. When today's USA AVWAP crosses the previous day's, you're looking at an intraday regime change. █ HOW TO READ IT - Price holding above a session AVWAP → that session's participants are in control - Session AVWAPs stacking (Asia < EU < USA) → trend alignment across sessions - Compression between session AVWAPs → coiling, expansion coming - USA crossing USA PD → regime shift, the new session is taking over from yesterday's flow - Confluence of session AVWAP with key structural levels → high-probability reaction zone █ WORKS BEST WITH Recommended in combination with GEX and Quantum Field indicators to identify significant intra/inter-session confluences. When a session AVWAP aligns with a GEX wall or a quantum density cluster, that's where structure meets flow — and that's where the real trades happen. Check out: → TLADe GEX Dashboard (ES/SPX/SPY) → TLADe GEX Dashboard (NQ/NDX/QQQ) █ SETTINGS Session times are fully configurable (UTC). Default values match standard market hours. All four lines can be toggled independently. Price source selectable (HLC3 default). Alerts included: • Price crosses USA AVWAP • Price crosses USA Previous Day AVWAP • USA crosses USA PD (regime change signal) █ NO SETUP REQUIRED Just add to chart. Sessions auto-detect, auto-reset at midnight. No dates to change, no anchors to drag. It just works.
Pine Script®指標
由TLADe_TradeLikeaDealer提供
2
Precision Supply MonitorPrecision Supply Monitor — Wyckoff-Inspired Supply & Demand Phase Detection Precision Supply Monitor (PSM) analyzes price action and volume behavior to identify supply and demand phases in real time. The script evaluates market conditions using a weighted scoring model and presents the results through a three-meter dashboard table designed to help visualize how supply and demand conditions are evolving. PSM is particularly useful for analyzing nano, micro, and small-cap stocks where float mechanics and supply rotation can strongly influence price behavior. ━━━━━━━━━━━━━━━━━━━━━━━━━━ QUICK START ━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. Start with the Phase row to see the current supply/demand environment. 2. Check Float Rotation to understand how much of the float has traded. 3. Watch Squeeze Pressure for compression that may precede expansion. Strong readings often occur when multiple meters align — for example, elevated Float Rotation combined with rising Squeeze Pressure while price remains stable. ━━━━━━━━━━━━━━━━━━━━━━━━━━ PHASE DETECTION ━━━━━━━━━━━━━━━━━━━━━━━━━━ PSM continuously evaluates price and volume behavior to determine which of five phases best describes the current market environment. Each phase is scored from 0–100% and the highest scoring condition becomes the active phase displayed in the dashboard table. The chart examples below correspond with each phase description. DISTRIBUTION Market behavior may reflect selling pressure, characterized by bear-biased candles, the appearance of new lows within the lookback window, and elevated relative volume. A weighted scoring model prioritizes bear bias and new-low activity while applying penalties during tight consolidations to reduce false readings. Distribution can occur during both declining and advancing price action — selling pressure may be present even as price moves higher, particularly during late-stage momentum moves on low-float stocks where supply begins to overwhelm demand. ABSORPTION Buyers may be absorbing available supply within a compressed range. The primary signal is high volume occurring alongside a small price range — behavior commonly associated with supply being absorbed without significant price decline. Price holding above a short-term average strengthens this phase. FLOAT LOCK Supply availability begins to decline while price remains stable. Volume contracts while turnover remains elevated relative to float or average volume. This behavior can occur when a large portion of tradable shares has already rotated through the market. FLOAT STRESS (requires float input — nano/micro/small tiers) Float rotation has reached extremely elevated levels. When turnover approaches six times the float, supply may become thin and smaller buying pressure can move price more rapidly. PARABOLIC RISK (requires float input — nano/micro/small tiers) Turnover has reached extreme levels (approximately eight times float or higher). These conditions sometimes occur during late-stage momentum moves where exhaustion risk increases. ━━━━━━━━━━━━━━━━━━━━━━━━━━ THREE-METER DASHBOARD ━━━━━━━━━━━━━━━━━━━━━━━━━━ PSM displays three independent meters that measure different aspects of market behavior. The dashboard table updates in real time as new bars print, allowing traders to observe how supply and demand conditions evolve during active trading. PHASE METER Displays the strength of the currently detected phase (0–100%). Higher values indicate stronger alignment between observed market conditions and the detected phase. FLOAT ROTATION Measures how much of the tradable float has rotated through the market during the turnover window. When float shares are entered manually, turnover is calculated relative to float size. If float is not entered, the meter falls back to a volume-based proxy and displays "(no float)". SQUEEZE PRESSURE Measures compression and stability conditions that may precede directional expansion. The score incorporates range compression, price stability, relative volume, absence of new lows, and an optional float-rotation bonus when float data is provided. Reading the meters together can help contextualize market behavior. For example: • High Float Rotation + High Squeeze Pressure — supply rotation with compression • High Float Rotation + Low Squeeze Pressure — heavy trading but unstable price action • Low Float Rotation + High Squeeze Pressure — early compression forming ━━━━━━━━━━━━━━━━━━━━━━━━━━ TIER-AWARE THRESHOLDS ━━━━━━━━━━━━━━━━━━━━━━━━━━ All detection thresholds automatically adjust based on instrument tier. PSM classifies instruments as: Nano • Micro • Small • Mid • Large • Crypto • ETF When market capitalization data is unavailable, the script falls back to average dollar volume. Each tier uses calibrated values for: • Relative volume thresholds • Range compression detection • Turnover requirements • Volume-drop conditions • New-low lookback windows • Bear-bias scoring windows This ensures the detection model adapts to the typical behavior of the instrument being analyzed. ━━━━━━━━━━━━━━━━━━━━━━━━━━ FLOAT OVERRIDE INPUT ━━━━━━━━━━━━━━━━━━━━━━━━━━ Float data on nano, micro, and small-cap stocks can occasionally be outdated or inaccurate — particularly after reverse splits or secondary offerings. PSM allows users to manually enter float shares for Nano, Micro, and Small tier instruments. When provided, turnover calculations use actual float size rather than average volume. This enables Float Rotation, Float Stress, and Parabolic Risk phases to operate more accurately. Mid, Large, Crypto, and ETF instruments ignore this input and automatically use volume-based turnover. ━━━━━━━━━━━━━━━━━━━━━━━━━━ PHASE MARKERS ━━━━━━━━━━━━━━━━━━━━━━━━━━ Optional markers plot above or below candles when all required phase conditions are met simultaneously and persist for two or more consecutive bars. The two-bar requirement reduces noise from single-bar spikes. • Yellow circle (below) — Absorption • Green circle (below) — Float Lock • Red circle (above) — Distribution • Orange circle (above) — Float Stress • Magenta circle (above) — Parabolic Risk Float Stress and Parabolic Risk markers require float shares to be entered manually. Without a float value these markers will not appear. Markers are informational and do not represent trading signals. ━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT MAKES PSM DIFFERENT ━━━━━━━━━━━━━━━━━━━━━━━━━━ Most volume and momentum indicators focus on price direction or volatility expansion. PSM focuses specifically on the supply side of the market — how shares are rotating, whether buyers may be absorbing that supply, and when the available float may be becoming thin enough to influence price movement. Standard indicators are typically calibrated for large and mid-cap markets where float is abundant. On nano and micro-cap stocks, float mechanics behave differently. A relatively small amount of volume can rotate a large percentage of the available float, producing price behavior that standard RVOL or momentum tools may not capture accurately. PSM addresses this by combining Wyckoff-inspired phase scoring with float rotation mechanics and tier-aware thresholds that automatically adjust to the instrument being analyzed. Instrument tier is determined using market capitalization data available within TradingView, falling back to average dollar volume when market cap data is unavailable. The result is a supply and demand framework designed specifically for the behavior of low-float momentum stocks — while remaining functional across all instrument types. ━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━━━━ PSM is designed as an educational and observational tool. The following describes how traders may interpret the information it displays. Start with the Phase row The active phase provides a high-level read on the current supply and demand environment. Distribution may indicate that selling pressure is present. Absorption suggests buyers may be active. Float Lock suggests supply may be thinning. Float Stress and Parabolic Risk indicate elevated float rotation that may influence price behavior. Use the rationale A plain-English rationale at the bottom of the dashboard table identifies the primary factors driving the current phase reading — helping traders understand not just what the phase is, but why it is occurring. Examples include "bear bias + new lows" during Distribution or "vol drying up + high turnover" during Float Lock. Cross-reference the three meters The Phase Meter, Float Rotation, and Squeeze Pressure meters each measure a different dimension of market behavior. Reading them together provides more context than any single meter alone. A phase reading supported by strong meter alignment across all three may carry more observational weight than one where the meters diverge. Float Stress and Parabolic Risk as awareness signals These phases indicate that float rotation has reached elevated levels. They are not entry or exit signals — they are contextual awareness indicators that suggest supply conditions may be changing. Traders should apply their own analysis and risk management when interpreting these readings. Enter the float for nano and micro-cap names TradingView float data can be stale or inaccurate on low-float stocks, particularly after reverse splits or secondary offerings. Entering the known float shares in the settings enables more accurate Float Rotation readings and unlocks Float Stress and Parabolic Risk phase detection. ━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT THIS SCRIPT DOES NOT DO ━━━━━━━━━━━━━━━━━━━━━━━━━━ Precision Supply Monitor does not generate buy/sell signals, execute trades, or manage positions. Phase readings update continuously as new data appears and may change as market conditions evolve. This tool is intended to assist interpretation of supply and demand dynamics and should be used alongside independent analysis and risk management. ━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS OVERVIEW ━━━━━━━━━━━━━━━━━━━━━━━━━━ Display • Show/hide stats table • Table position and size • Show/hide phase markers • Marker offset (ATR) Core • Average volume length • Average range length • Turnover window • Extension lookback • Float Shares Override (0 = auto) — Nano/Micro/Small only. Enter known float (e.g. 7880000). Required for Float Stress, Parabolic Risk, and float-gated Squeeze bonus. Ignored on Mid/Large/Crypto/ETF.
Pine Script®指標
由MohaveTrader提供
RVOL - Relative volumeMost relative volume indicators compare the current bar's volume to a moving average of recent bars. This one is a little different. Here's a relative volume script that compares volume at time of day to past sessions (i.e., 8am RVOL candle compares it to the last n number of sessions 8am candles). This matters because volume has a strong intraday seasonality. This indicator normalizes that away so "high/low" volume is judged RELATIVE to what's typically normal for that time slot. Since volume spikes generally at the opening and tapers off throughout the day, it can be misleading or confusing to read. I generally use the Log ratio or z-score options, and typically find areas of support and resistance, channels, wedges, etc. to spot weak or low RVOL to see if buyers/sellers are dried up and price has a high probability of reversing. Not financial advice.
Pine Script®指標
由Joelthebowl提供
Skill FX Trend Display//@version=5 indicator("Market Position Dashboard (Bullish/Bearish/Sideways) - by You", overlay=true, max_labels_count=500) // ===== Inputs emaFastLen = input.int(50, "Fast EMA", minval=1) emaSlowLen = input.int(200, "Slow EMA", minval=1) adxLen = input.int(14, "ADX Length", minval=1) adxSideMax = input.float(20.0, "Sideways if ADX < ", step=0.5) adxTrendMin= input.float(25.0, "Strong Trend if ADX ≥ ", step=0.5) showEMAs = input.bool(true, "Show EMA lines on chart?") showBadge = input.bool(true, "Show Dashboard Badge?") // ===== Calculations emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) adxVal = ta.adx(adxLen) // Direction logic (EMA-based) bullDir = close > emaSlow and emaFast > emaSlow and emaFast > emaFast and emaSlow > emaSlow bearDir = close < emaSlow and emaFast < emaSlow and emaFast < emaFast and emaSlow < emaSlow // Sideways / Trend strength logic (ADX-based) isSideways = adxVal < adxSideMax isStrong = adxVal >= adxTrendMin // Final market state string state = isSideways ? "SIDEWAYS" : bullDir ? "BULLISH" : bearDir ? "BEARISH" : "MIXED" // Optional: add strength label text string strength = isStrong ? "STRONG" : isSideways ? "WEAK" : "NORMAL" // ===== Plot EMAs plot(showEMAs ? emaFast : na, title="EMA Fast", linewidth=2) plot(showEMAs ? emaSlow : na, title="EMA Slow", linewidth=2) // ===== Color selection (no need to customize chart theme) color bgCol = state == "BULLISH" ? color.new(color.green, 0) : state == "BEARISH" ? color.new(color.red, 0) : state == "SIDEWAYS" ? color.new(color.orange, 0): color.new(color.gray, 0) color txtCol = color.white // ===== Dashboard Table var table dash = table.new(position.top_right, 1, 3, border_width=1) if barstate.islast and showBadge table.cell(dash, 0, 0, "MARKET POSITION", text_color=txtCol, bgcolor=color.new(color.black, 0)) table.cell(dash, 0, 1, state, text_color=txtCol, bgcolor=bgCol) table.cell(dash, 0, 2, "ADX: " + str.tostring(adxVal, "#.0") + " | " + strength, text_color=txtCol, bgcolor=color.new(color.black, 0)) // ===== Alerts (optional but useful) alertcondition(state == "BULLISH" and not isSideways, "Bullish Market", "Market is BULLISH (EMA trend confirmed, ADX not sideways).") alertcondition(state == "BEARISH" and not isSideways, "Bearish Market", "Market is BEARISH (EMA trend confirmed, ADX not sideways).") alertcondition(state == "SIDEWAYS", "Sideways Market", "Market is SIDEWAYS (ADX below threshold).")
Pine Script®指標
由Forex4Profit_提供