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AG Pro Volume Shelf Reaction Map [AGPro Series]AG Pro Volume Shelf Reaction Map ### Overview AG Pro Volume Shelf Reaction Map detects horizontal price zones where participation has stacked — "volume shelves" — and classifies, in real time, how price actually behaves when it returns to each one. Instead of a dense volume profile, the tool surfaces only the most significant shelves and labels the market's reaction to them: Touched, Held, Rejected, Reclaimed, or Lost. ### Unique Edge Most volume-based tools draw a profile or a single point of control and leave interpretation to the trader. This indicator goes one step further: it builds a lightweight state machine around each shelf so the chart itself communicates whether a level is still being respected, has just been reclaimed after a prior loss, or has been structurally broken. Fresh shelves and reused shelves are visually separated so the trader can immediately tell which levels still have unused participation behind them. ### Methodology The script scans a user-defined lookback window for confirmed pivot highs and lows, filters them by relative volume, and clusters nearby pivots into a single shelf using an ATR-based distance threshold. Each shelf accumulates a strength score from repeated touches, weighted by the volume present at those touches. A per-shelf state machine then evaluates each new bar against every active shelf using close-based thresholds. The state becomes Held when price rejects cleanly off the shelf on the correct side, Rejected when the wick tests and price closes pinned near the level, Lost when price closes meaningfully through, and Reclaimed when a previously lost shelf is regained with buffer. Reaction states are sticky: they persist until a genuinely different state occurs. ### Signals & Alerts Three alert conditions are exposed: - Shelf Touched: price has entered a shelf zone - Shelf Respected: Held, Rejected, or Reclaimed confirmed on close - Shelf Lost: a meaningful close-through has been registered Each alert is debounced per-shelf and fires once per state transition to prevent repetition on consecutive bars that maintain the same state. ### Key Inputs - Lookback Window and Pivot Strength control how far back and how strict shelf candidate detection is. - Cluster Distance (x ATR) sets how close two pivots must be to merge into a single shelf. - Volume Filter requires pivot bars to carry above-average participation. - Reaction Sensitivity (x ATR) tunes how decisive a close must be to register Held, Rejected, Lost, or Reclaimed. - Active Window controls how long a reaction state is displayed in its full color before a shelf fades to a neutral accent. - Tag Cooldown prevents the same shelf from being tagged repeatedly in a short window, keeping historical charts clean. - Max Shelves and Show Fresh Only keep the chart intentionally sparse. - Label and Panel size, panel location, and theme are all configurable for any chart layout. ### How to Use Start on your normal trading timeframe and observe which shelves the tool highlights. Fresh shelves are the ones that have never been structurally broken; these often act as the first line of defense or resistance on a retest. When a shelf transitions into Held or Reclaimed, it signals that participants are actively defending that level; a Lost state indicates that the level no longer holds significance and price has likely moved into the next shelf below or above. The dashboard shows the strongest shelf, its strength score, its latest state, and the fresh-to-reused ratio, giving an at-a-glance read of the structural picture. ### Limitations & Transparency This tool is an analytical aid, not a trading strategy or signal generator. Shelf detection is based on pivot and ATR mechanics; sudden regime shifts, illiquid sessions, or extreme volatility spikes can delay or distort state transitions. Reaction states are computed on closed bars and therefore lag intrabar action by design. Past behavior at a shelf does not guarantee future behavior. The indicator is not a forecast and does not predict price direction. ### Risk Disclosure Trading carries risk of loss. This script is provided for educational and research purposes and must not be interpreted as financial advice. Always use independent risk management and position sizing.
Penunjuk Pine Script®
oleh AGProLabs
Stop Loss Optimizer Engine [AGPro Series]Stop Loss Optimizer Engine 🔹 OVERVIEW Stop Loss Optimizer Engine compares four independent stop-loss methodologies side by side on a single chart, so traders can see at a glance where each approach would place protection and which one has historically held up best on the current symbol and timeframe. Every method is calculated for both LONG and SHORT, giving eight reference levels plus a compact panel with distance-to-price and a historical hold-rate statistic per method. A Risk Zone highlights the area between current price and the method with the strongest historical hold-rate, providing a clean S/R-style visual anchor for position sizing and R-multiple planning. 🔹 UNIQUE EDGE Most stop-loss indicators on the platform commit to a single philosophy — pure ATR, pure Chandelier, or pure structure. Traders who want to compare approaches end up loading multiple scripts and eyeballing the differences. Stop Loss Optimizer Engine is built around a different premise: volatility, structure, trailing and recent-extreme stops each have environments in which they work well, and the trader should decide based on evidence rather than habit. The indicator renders all four on one chart, adds a per-method hold-rate measured on the active instrument, and flags the highest-hold-rate method with a star marker so the comparison is always a single glance away. The Risk Zone is drawn using the current-best method, which means the visual anchor adapts to whichever approach is statistically holding up best on that symbol and timeframe right now. 🔹 METHODOLOGY The four engines are independent and each produces a LONG and a SHORT level: ATR-SL — close minus or plus ATR × multiplier. Volatility-adaptive, widens in turbulent markets, tightens in calm ones. Pivot-SL — the most recent confirmed pivot low or pivot high. Respects market structure, places the stop beyond the last reversal point rather than at an arithmetic distance. Chandelier-SL — highest high minus ATR × multiplier for LONG, lowest low plus ATR × multiplier for SHORT. The classic Le Beau / Elder trailing stop, designed to follow strong trends without premature exits. Swing-SL — the lowest low or highest high over a short lookback. A simple, robust baseline that works well for shorter trades and scalping. Hold Rate — for every historical bar in the lookback window, the indicator records the SL level that each method would have produced at that bar, then checks whether price breached that level within a fixed forward window. Hold Rate is the percentage of evaluated bars in which the SL was not breached. This is a pure historical observation, not a forward performance projection. 🔹 SIGNALS & ALERTS Visual — dotted lines for LONG stops (plotted below price), dashed lines for SHORT stops (plotted above price). Each method uses a distinct color. Labels sit at the right edge of each line with the method name and exact price. A dedicated anti-overlap resolver repositions labels vertically whenever two or more methods produce near-identical levels, so the rightmost chart panel stays readable in tight clusters. Risk Zone — a shaded rectangle between current close and the highest-hold-rate SL on the trend-dominant side, extending forward from the current bar. Color matches the selected best method. Panel — four-column layout showing method, LONG price (and distance %), SHORT price (and distance %), and Hold Rate, with a star marker beside the method currently holding the highest rate. A trend footer reports Bullish or Bearish based on the EMA50 filter. Alerts — four pre-configured conditions for price breaching the ATR and Chandelier SL levels on either side. 🔹 KEY INPUTS Method toggles for each of the four engines. Length and multiplier inputs per method, with balanced defaults (ATR 1.5× / 14, Pivot length 5, Chandelier 2.5× / 22, Swing lookback 7). Hold-rate statistics lookback and forward window, defaulting to 1000 and 10 bars. Visual controls for long-side lines, short-side lines, labels, the Risk Zone and a trend-based dimming of the counter-trend side. Panel location (six positions), panel theme (Dark or Light), and adjustable font sizes for panel and labels, all defaulting to Normal. 🔹 HOW TO USE Open the indicator on any symbol and any timeframe. Read the panel first — the starred method is the one with the best historical hold-rate on the current chart. Pick a method that matches the trade plan: ATR for volatility-aware scalps, Pivot for structural setups, Chandelier for trend-following swings, Swing for simple quick trades. Use the Hold Rate column as secondary evidence, not as a standalone forecast. Read the SL price and the distance percentage next to it to size position accordingly — a 2% stop and a 6% stop are not the same trade, even on the same entry. The Risk Zone is a convenience visual for the trend-dominant side and should be interpreted together with the other levels, not in isolation. 🔹 LIMITATIONS & TRANSPARENCY Hold Rate is a backward-looking statistic computed on historical bars of the active chart. It describes what would have happened under a fixed forward-window assumption on past data and does not guarantee any future behavior. The forward-window length, lookback size and method parameters all influence the resulting numbers; changing inputs changes the statistic. The Pivot-SL method depends on the availability of confirmed pivots in the lookback window and will fall back to a conservative ATR-based placeholder when a pivot is not yet confirmed. Risk Zone selection is based on hold-rate ranking, which can switch between methods as markets evolve. This script is a decision-support tool for discretionary risk management, not a trade-entry signal generator. Always combine with independent analysis and sound position sizing. Past performance of any stop-loss method does not guarantee future results. 🔒 RISK DISCLOSURE This script is provided for educational and informational purposes only. It is not financial, investment or trading advice. Trading involves substantial risk of loss; use at your own discretion and risk.
Penunjuk Pine Script®
oleh AGProLabs
Reversal Probability & SignalsThis indicator is designed to forecast critical market turning points by predicting the formation of TOPs (Pivot Highs) and BOTTOMs (Pivot Lows). To achieve this, the script utilizes a simplified K-Nearest Neighbors (KNN) machine learning algorithm built directly within Pine Script. By analyzing a wide spectrum of Commodity Channel Index (CCI) values, it calculates the real-time probability that the current price action will result in a structural Pivot reversal. How It Works (The Engine) The script functions as a real-time pattern recognition engine. It operates in three main steps: Feature Extraction: It concurrently calculates 8 different lengths of the CCI (from very short to long-term periods like 10 to 200). This acts as the feature set of the current market momentum. Data Collection (Training): Whenever the market makes a significant structural Top or Bottom (based on Pivot points), the script records the specific state of those 8 CCIs at that exact moment. It also collects random "non-target" samples to build a balanced historical database. KNN Classification (Prediction): On every new bar, the algorithm calculates the mathematical Euclidean distance between the current 8 CCI values and the historically saved samples. It looks at the "K" nearest historical neighbors. If the majority of those closest historical neighbors were market bottoms, the indicator outputs a high "Bottom Probability." Key Features Dynamic K-Value Adjustment: To ensure stable and accurate calculations even shortly after applying the indicator (when the historical sample pool is still growing), the "K" value dynamically scales down based on the available data size and automatically adjusts to odd numbers to prevent tie-breaking ambiguity. Two-Step Smart Signal Logic: To prevent premature entries during strong, ongoing trends, this script uses a dual-threshold confirmation system: Standby: The probability must first surge above an Upper Threshold (Default: 80%), indicating extreme conditions. Trigger: The actual signal is only plotted when the probability peaks and subsequently drops below a Lower Threshold (Default: 50%). This confirms that the extreme momentum has broken and the reversal is underway. Target Selection: Easily switch the engine's focus between predicting a "BOTTOM" or a "TOP" via the settings panel. Visual Enhancements & Alerts: Includes intuitive dynamic bar coloring (changing based on probability intensity), a clear histogram, distinct signal shapes on the chart, and fully integrated alert conditions for automation. Settings & Configuration Prediction Target: Toggle between BOTTOM (Pivot Lows) and TOP (Pivot Highs). Feature Parameters (CCI): Customize the 8 periods used for momentum extraction. Default settings range from 10 to 200 to capture micro-fluctuations up to macro-trends. KNN Model Settings: * K-Value: The baseline number of nearest neighbors to compare. Max Samples: The memory limit for historical data points (higher = more stability, but heavier computation). Signal Settings: Customize the Upper and Lower thresholds for the two-step signal generation. How to Trade with It Select your target: Decide if you are looking for long opportunities (BOTTOM) or short opportunities (TOP). Watch the Buildup: Observe the histogram or candlestick colors. When the probability goes above 80%, the market is showing conditions highly similar to historical reversals. Do not enter yet. Wait for the Trigger: Wait for the momentum to break. When the probability drops back below the 50% threshold, a triangle shape will appear on the chart. This is your signal that the reversal pattern is executing. Disclaimer: This script uses historical pattern matching and experimental mathematical models. It does not guarantee future results. Please use it in conjunction with broader market context, other technical indicators, and strict risk management.
Penunjuk Pine Script®
oleh SatohK
AG Pro Value Shift Ladder [AGPro Series]# AG Pro Value Shift Ladder ## Overview AG Pro Value Shift Ladder maps the ladder of accepted-value zones that price has repeatedly visited, showing how the market's notion of "fair value" migrates up, down, or breaks over time. Each rung of the ladder is a shelf anchored to a confirmed pivot, validated by the time price spent inside its band and the volume that traded there. Held, broken, and reclaimed shelves are tracked together, and the resulting sequence is summarized as a single ladder state — Rising, Falling, Mixed, Broken, Reclaiming, Building, or Neutral. The tool is intended as a structural reference for discretionary traders who want to see where price has been accepted, where it has been rejected, and how those anchors are drifting. It does not generate buy/sell signals and is not a trading system. --- ## Unique Edge Most shelf, S/R, or volume-based tools plot every candidate level they can find and leave the user to filter. Value Shift Ladder does three things differently: - **Pivot-anchored hybrid acceptance.** A shelf is only registered when a confirmed swing pivot is surrounded by a configurable time-dwell (bars spent inside its band) AND a volume threshold (cumulative volume inside the band). Both conditions must be met. Single-confirmation noise is filtered out at the source. - **Migration-aware state machine.** Each shelf has a lifecycle: Held → Broken → Reclaimed → Held. Transitions require sustained price behavior (three bars for a break, multiple bars of dwell for a reclaim), preventing oscillation between states on noise. - **Proximity-gated visualization.** Only shelves within a configurable ATR distance from current price are drawn and fed into the ladder state. Distant historical shelves do not clutter the chart or contaminate the panel's metrics. The result is a clean, structural ladder — usually three to five rungs — connected by thin riser lines that visually encode the migration path. --- ## Methodology **Shelf candidate generation.** A swing pivot (high or low) with N bars on each side becomes a candidate shelf anchor. N is user-configurable via Pivot Length. **Hybrid acceptance test.** For each candidate, the script scans the last 80 bars and counts: 1. How many bars closed inside the candidate's acceptance band (ATR × sensitivity multiplier). 2. Cumulative volume of those bars. A shelf is accepted only if both the dwell-bar count meets Min Dwell Bars AND the cumulative volume meets Min Volume Confirmation × (average volume × dwell bars). Candidates failing either test are discarded. **Separation filter.** A newly accepted shelf is rejected if it sits within Min Step Separation (ATR) of an existing active shelf, preventing micro-levels from cluttering the ladder. **Break detection.** A held shelf transitions to Broken when price closes beyond its band by more than Break Distance (ATR) for three consecutive bars. **Reclaim detection.** A broken shelf transitions to Reclaimed when price closes back inside its band for at least Reclaim Dwell Bars. A reclaimed shelf is promoted back to Held after ten additional bars of stability. **Expiry.** Broken shelves older than Broken Expire Bars with no reclaim are purged. **Ladder state.** The chronological sequence of active (held + reclaimed) shelves is evaluated: strictly monotonic rising → Rising; strictly monotonic falling → Falling; otherwise Mixed (with Above/Below context vs. the most recent shelf). Recent break or reclaim events override with Broken or Reclaiming. --- ## Signals & Alerts Four alert conditions are exposed: - **New Ladder Step Formed** — a new accepted-value shelf has been registered. - **Ladder Step Held** — an existing shelf has been re-confirmed by fresh dwell + volume. - **Ladder Step Broken** — a held shelf has been decisively lost. - **Ladder Step Reclaimed** — a previously broken shelf has been reclaimed. All alerts are informational markers of structural change. They do not encode directional trade intent. --- ## Key Inputs **Step Engine** - Step Sensitivity (Tight / Balanced / Wide) — band width around pivot anchors - Pivot Length — bars on each side for swing pivot detection - Min Dwell Bars — time-side of the hybrid acceptance test - Min Volume Confirmation × — volume-side of the hybrid acceptance test - Min Step Separation (ATR) — minimum ATR distance between accepted shelves - Break Distance (ATR) — how far price must close beyond a shelf to flag a break - Reclaim Dwell Bars — bars price must spend back inside the band to reclaim - Broken Expire Bars — age at which unreclaimed broken shelves are purged - Max Visible Distance (ATR) — proximity gate around current price **Ladder Display** - Max Visible Active Steps (3–8) — cap on simultaneously drawn active shelves - Max Visible Broken Steps (0–5) — cap on displayed migration history - Active Ladder Only — minimal mode showing just the dominant shelf - Project Steps Forward — 30-bar forward projection of each shelf - Show Ladder Connectors — thin riser lines between consecutive shelves **Panel & Labels** - Panel / label font size, panel position - Alert master toggle - Full color palette (state-driven, theme-independent) --- ## How to Use - Apply on any timeframe and instrument. Balanced defaults are tuned for 1H–4H crypto; on faster timeframes consider raising Pivot Length, on slower timeframes lower it. - Read the panel's Ladder state first, then the Dominant shelf price. These two values summarize where accepted value currently sits and how it is migrating. - Use the on-chart labels for structural context: Up / Down / Held / Reclaim / Broken describe what each rung is doing. - Integrity shows the percentage of recent shelves still holding. High integrity (green) means the ladder is intact; low integrity (red) means recent migration has broken most anchors. - Treat the output as a structural map, not a signal. Combine with your own directional, volatility, and risk framework. --- ## Limitations & Transparency - All calculations use completed bar data. Shelf registration is delayed by Pivot Length bars (the swing pivot is not confirmed until that many bars have elapsed). - The hybrid acceptance test is lookback-limited to the last 80 bars; very long historical basing periods outside that window are not weighted more heavily than recent ones. - On very low-volatility instruments or during compressed ranges the ATR-scaled thresholds may produce fewer shelves; widening Step Sensitivity is the intended adjustment. - On very high-volatility or thin-volume symbols the volume confirmation may be dominated by outlier bars; raising Min Volume Confirmation × is the intended adjustment. - The script does not repaint confirmed shelves, but state transitions (Held → Broken → Reclaimed) evaluate the last three to five bars, so fresh transitions can flip until those bars close. - Ladder state and Integrity reflect only shelves within the proximity gate. Distant historical shelves exist in memory but are not counted. --- ## Risk Disclosure This script is a structural visualization tool provided for educational and analytical purposes. It is not financial advice, not a trading strategy, and not a signal service. Past market behavior is not indicative of future results. All trading involves risk of loss. Users are responsible for their own decisions and for verifying the tool's behavior on their chosen instruments and timeframes before relying on it.
Penunjuk Pine Script®
oleh AGProLabs
RF Daily LevelsThis Daily Levels plots bullish and bearish horizontal levels from confirmed higher-timeframe fractals. It does not need to be based on daily levels, you can select which high time frame pivots you want to see. Bullish levels are created from confirmed pivot lows and placed at the lower edge of the pivot candle body, while bearish levels are created from confirmed pivot highs and placed at the upper edge of the pivot candle body. Use the fractal timeframe, left/right fractal settings, and consecutive-close requirement to control how selective the levels are. Marker visibility, colors, line width, and the maximum number of stored levels can also be adjusted.
Penunjuk Pine Script®
oleh RF-Trades
AG Pro Fixed Range Control Box [AGPro Series]AG Pro Fixed Range Control Box ═══════════════════════════════════════════════ Overview / What it does ═══════════════════════════════════════════════ AG Pro Fixed Range Control Box identifies a single high-conviction price range and answers one simple question: who is in control inside it — bulls, bears, or neither? Instead of plotting dozens of support and resistance levels, this tool isolates one structural range (automatically detected or manually set), draws a volume-weighted Control Line inside it, and classifies the current state into four clean categories: Inside, Upper (Bull Control), Lower (Bear Control), or Failed. A compact information panel shows the current side, range age, touch count, and hold quality. The design philosophy is minimalist: one hero box, one story, zero visual clutter. ═══════════════════════════════════════════════ Unique Edge ═══════════════════════════════════════════════ Most range tools show many boxes of equal weight, leaving the user to decide which one matters. This script takes the opposite approach — it commits to exactly one active range at a time and stops redrawing it when the structure breaks. Three properties make this distinctive: 1. VWAP-based Control Line (not a static midpoint). The line is the volume-weighted average price inside the range, so it reflects where participants have actually transacted, not geometric averaging. 2. Edge-aware fallback. If the VWAP collapses to the top or bottom 10% of the range (meaning price has spent most time at one edge), the line automatically falls back to the range midpoint. This keeps the Control Line meaningful in trending conditions. 3. Frozen-on-failure state. When price closes beyond the range, the box freezes at the break bar — it does not keep extending into the future pretending the range is still valid. A cooldown period then elapses before a new range is searched, preventing rapid re-triggers. ═══════════════════════════════════════════════ Methodology ═══════════════════════════════════════════════ Range detection offers four modes: - Auto - Pivot: Uses the last confirmed pivot high and pivot low as range boundaries. A new range is built only when the pivot set changes meaningfully (beyond 10 ticks) and width passes the minimum percentage filter. - Auto - Lookback: Uses the highest high and lowest low over a fixed bar window. Rebuilds on a schedule. - Auto - Compression: Monitors the ratio of short-term ATR to long-term ATR. When compression is detected (ratio below threshold), the current compressed zone is locked as the range. - Manual - Date: User defines a start and end timestamp. The range tracks high/low within that window. Control Line = rolling VWAP from range start to current bar, clamped inside the range with edge-fallback to midpoint. State machine: - Inside: price oscillating within the range, control line not decisively reclaimed. - Upper (Bull Control): price has held above the Control Line for N consecutive bars (N = Reclaim Confirmation, default 2). - Lower (Bear Control): same logic, below the Control Line. - Failed: price closed beyond range_high or range_low. Range is frozen. Quality metrics: - Touch Count: bars in which the candle range contained the Control Line (price interacted with it). - Hold Quality: percentage of bars whose close remained inside the range, capped at 100%. ═══════════════════════════════════════════════ Signals & Alerts ═══════════════════════════════════════════════ Three alert conditions are available: - New Control Box formed: a fresh range has been established. - Control Line reclaimed (Bull or Bear): state transition into Upper or Lower control. - Control Box failed: range boundary breached; box is frozen. All alerts fire once per bar close to reduce noise. ═══════════════════════════════════════════════ Key Inputs ═══════════════════════════════════════════════ - Range Mode: Auto-Pivot / Auto-Lookback / Auto-Compression / Manual. - Pivot Length, Lookback Bars, Compression Window & Ratio: tune the detection sensitivity per market and timeframe. - Min Range Lifespan: minimum bars before a new range can replace the current one. - Min Range Width %: filters out micro-ranges below this percentage width. - Failed Cooldown Bars: enforced wait period after a Failed state before a new range is searched. - Strict Control Logic: requires confirmed close past the Control Line; if disabled, wicks are used. - Reclaim Confirmation: consecutive bars required to confirm a reclaim. - Fade Old Boxes, Max Boxes Kept, Future Projection Bars: visual controls. ═══════════════════════════════════════════════ How to use ═══════════════════════════════════════════════ 1. Start with Auto - Pivot mode on your preferred timeframe. This is the most intuitive detection method for most markets. 2. Watch the State field in the panel. Inside means the range is live and being tested. Upper or Lower means one side has taken control of the Control Line. Failed means the range has structurally broken. 3. Touch Count and Hold Quality give context for how respected the range is. High Hold Quality (above 80%) combined with several touches suggests a well-defined structure. 4. For lower-timeframe or choppy markets, try Auto - Compression to lock onto low-volatility consolidations. For specific event studies, use Manual - Date. ═══════════════════════════════════════════════ Limitations & Transparency ═══════════════════════════════════════════════ - This is an indicator, not a strategy. It does not generate buy or sell signals and should not be treated as one. - Range detection is retrospective. Pivot-based ranges rely on confirmed pivots, which require pivotLen bars of hindsight on each side. The range only finalizes after this delay. - VWAP is computed from bar data (not tick data) and uses nz(volume,1) as a fallback on symbols without volume data. - On symbols with extreme trending behavior, Auto detection may produce wide ranges that do not represent true consolidation. Manual mode is recommended in such cases. - Hold Quality above 95% typically indicates a very tight, well-held range — but it is a historical description, not a prediction of future behavior. ═══════════════════════════════════════════════ Risk Disclosure ═══════════════════════════════════════════════ This script is published for educational and analytical purposes only. It is not financial advice, not a trading recommendation, and not a strategy. Past behavior of any range or control structure does not guarantee future outcomes. All trading decisions are the sole responsibility of the user. Always combine any single tool with your own analysis, risk management, and broader market context. Never risk capital you cannot afford to lose.
Penunjuk Pine Script®
oleh AGProLabs
3
Market Pivot LevelsTired of automated support and resistance indicators that clutter your chart with dozens of overlapping, noisy lines? The Market Pivot Levels indicator is designed to map core market structure exactly like a professional technician would—cleanly, precisely, and without the noise. Instead of drawing a line at every single minor fluctuation, this script uses advanced filtering logic to identify true structural zones and spaces them out beautifully across your chart. Key Features: ATR Proximity Filter (No Clutter): Standard pivot scripts often stack lines on top of each other during consolidation. This script uses an Average True Range (ATR) proximity filter. If a new pivot forms too close to an existing major level, it ignores it, ensuring your chart only displays distinct, well-spaced tradeable zones. Psychological Price Snapping: Human traders don't draw lines at random decimals like $196.19—they look for clean, psychological numbers. This script automatically takes the exact wick of a structural swing and snaps it to the nearest whole dollar (e.g., $196.00), mimicking a human hand. Flush Right-Aligned Labels: Forget hovering over lines to see their value. Custom price tags are dynamically magnetized to the far right of your screen, sitting perfectly flush with your standard price axis for immediate readability. Stealth UI: We believe in clean charts and clean interfaces. All underlying parameters (lookbacks, ATR multipliers, line thickness) are hardcoded and hidden from the settings menu to keep your TradingView UI completely minimalist. It is strictly plug-and-play. How it Works Under the Hood: By default, the script looks for highly granular micro-swings (1-bar lookback), but relies on the 1.0 ATR distance multiplier to filter out the noise. The result is a highly responsive, custom price grid that adapts to the specific volatility of whatever ticker you are trading. It keeps a maximum of 20 active levels on the screen, automatically cleaning up old, irrelevant zones as new price action develops. How to Use It: Simply drop it onto any chart timeframe. Use the automatically generated yellow zones for breakout entries, strict stop-loss placements, or profit targets during extended trends.
Penunjuk Pine Script®
oleh iMetaX
Liquidity Thermal Map [JOAT]Liquidity Thermal Map Introduction The Liquidity Thermal Map is an overlay indicator that identifies and visualizes liquidity pockets — price zones where trapped participants are likely clustered — and ranks their significance using a heat-mapped color scale driven by volume and price range data. Rather than treating all swing highs and lows equally, it weights each zone by the liquidity activity present at that pivot bar, then applies power-law contrast stretching so that the most significant zones immediately stand out from background noise. The goal is not to predict where price will go. The goal is to surface which untested zones carry the most liquidity weight, so a trader can make their own informed decisions about potential targets or areas of interest. --- Core Concepts 1. Pivot Detection Zones are seeded at confirmed swing pivots using Pine Script's built-in pivot functions: pivH = ta.pivothigh(high, leftPiv, rightPiv) pivL = ta.pivotlow(low, leftPiv, rightPiv) A pivot high marks a bar where bears may have been trapped above — price reached that level, reversed, and left unfilled orders behind. A pivot low marks the mirror situation for trapped bulls. The left bars and right bars inputs control how many confirming bars are required on each side, balancing sensitivity against noise. 2. Liquidity Metric and Heat Normalization Each pivot is scored using one of three selectable metrics: Vol x Range (default): volume * (high - low) * 100 — rewards bars with both high volume and wide price movement Volume only: raw volume at the pivot bar Range only: the high-low spread at the pivot bar Raw scores are normalized across all active pockets using a rolling min-max calculation: norm = (metric - min) / (max - min) heat = math.pow(norm, heatContrast) The power-law contrast stretch (controlled by the Heat Contrast input) compresses lower-significance pockets toward zero and expands higher-significance ones toward one. A contrast value below 1.0 spreads pockets more evenly; above 1.0, only the highest-scoring pockets register strong color. 3. Zone Construction Each pocket is drawn as a box: Short liquidity pocket (at a pivot HIGH, bears trapped above): top = pivotHigh + ATR * bandWidth, bottom = pivotHigh Long liquidity pocket (at a pivot LOW, bulls trapped below): top = pivotLow, bottom = pivotLow - ATR * bandWidth ATR scaling ensures band width adapts to current volatility rather than using a fixed pip or point value. Short pockets color from yellow (low heat) through deeper yellows. Long pockets color from a faded cyan through solid cyan-blue. Both gradients are computed with color.from_gradient(heat, 0, 1, faded_base, solid_base) , making the heat ranking immediately readable at a glance. 4. Three-State Lifecycle Every pocket passes through a defined state machine: Active: The zone is untested. The box extends rightward each bar by the Extend Bars amount, keeping it visible on the current chart. Hit (Frozen): Triggered when price sweeps through the midpoint of the zone (high >= midpoint AND low <= midpoint on the same bar). The box stops extending, color fades, and the label is removed — signaling that the pocket has been swept and liquidity likely absorbed. Expired: When a pocket's age exceeds the Lookback setting without being hit, it is removed entirely and all associated arrays are cleaned up. This lifecycle gives real-time feedback: solid, bright zones are intact and untested; faded zones have been swept; only the most recent, significant pockets within your lookback window are visible. 5. Scale Legend A 24-cell gradient table is drawn on-chart running from the short liquidity color to the long liquidity color, providing a continuous reference for the heat scale being applied to all visible pockets. --- Features Pivot-anchored liquidity zones for both long and short trapped-participant scenarios Three selectable liquidity metrics: Vol x Range, Volume only, Range only Power-law contrast stretching for visual prioritization of high-significance zones ATR-scaled zone width that adapts to current market volatility Three-state lifecycle (Active → Hit → Expired) per pocket with visual state changes Dual-color gradient system — cyan-blue for long pockets, yellow for short pockets On-chart 24-cell heat scale legend Configurable max pocket count to manage chart performance Visual toggles for boxes, labels, and the legend table --- Input Parameters Pivot Left Bars (default 10): Bars required to the left of a pivot for confirmation. Higher values = fewer, more significant pivots. Pivot Right Bars (default 5): Bars required to the right of a pivot for confirmation. Increasing this delays detection but improves pivot quality. Lookback / Max Age (default 200): Maximum bar age before a pocket expires and is removed. Max Pockets (default 50): Upper limit on simultaneous active pockets. Reducing this improves performance on lower-end charts. ATR Length (default 14): Period for the ATR calculation used in band width scaling. ATR Band Width (default 0.5): Multiplier applied to ATR to set zone height. Higher values create wider zones. Extend Bars (default 50): How many bars ahead each active pocket box extends on each update. Heat Contrast (default 0.5): Power-law exponent for contrast stretching. Values below 1.0 spread pockets more evenly; above 1.0 increases contrast between high and low scoring zones. Metric Mode: Selects the liquidity scoring metric — Vol x Range, Volume, or Range. Show Boxes / Show Labels / Show Legend: Individual visibility toggles for each visual component. --- How to Use Identifying high-priority zones: Bright, fully saturated boxes represent the highest-scoring untested liquidity pockets within your lookback window. These are the zones where the most volume-weighted trapped participants may be present. Tracking swept zones: When a box fades, the pocket has been hit — price moved through its midpoint. Faded zones can serve as reference for areas that have already seen liquidity absorption. Adjusting sensitivity: Increasing the left/right pivot bars reduces the total number of pivots detected, focusing only on more structurally significant swing points. Decreasing them creates a denser map suitable for shorter timeframes. Interpreting the legend: The 24-cell scale legend in the corner maps the full gradient range, from the lowest-heat short pocket color to the highest-heat long pocket color. Timeframe considerations: On higher timeframes (4H, Daily), fewer pivots form and each carries more weight. On lower timeframes, tightening the ATR band width and increasing heat contrast helps reduce visual clutter. --- Limitations Pivot detection is inherently lagging — a pivot is only confirmed after the right-side bars have closed, meaning the zone is plotted some bars after the pivot actually formed. The liquidity metric scores a pocket by activity at the pivot bar itself , not the full swing sequence leading to it. A pivot formed on a single high-volume bar will score higher than one formed over a gradual, multi-bar move. Volume data quality varies by broker and data feed. On instruments with unreliable or synthetic volume (some forex pairs, CFDs), the Vol x Range metric may not reflect true market participation. The indicator does not account for partial fills or iceberg orders. A zone being "hit" means price swept through the midpoint — it does not confirm full liquidity absorption. No indicator, including this one, predicts future price movement. A high-heat untested zone is an area of potential interest, not a guaranteed reversal or reaction point. Performance may degrade on very active charts with high Max Pocket settings. Reduce Max Pockets if chart rendering slows. The heat scale is relative to the current set of visible pockets. Adding more historical data (longer lookback) changes the normalization range and will recolor all currently visible pockets. --- Originality Statement Most liquidity mapping tools mark swing highs and lows with equal visual weight — every pivot gets the same line, box, or label. This indicator departs from that approach in three ways: First , each pocket is scored by the product of volume and price range at its pivot bar (or volume/range alone as alternatives), producing a liquidity significance score rather than a binary present/absent mark. Second , power-law contrast stretching is applied to the normalized scores, which means the visual encoding (color saturation) is non-linear. Minor pockets compress toward the faded end of the gradient; truly significant pockets expand toward the saturated end. This is a deliberate perceptual design choice — not simply coloring zones by value, but stretching the gradient to maximize discriminability at the high end. Third , the three-state lifecycle (Active → Hit → Expired) treats each pocket as a dynamic object that responds to price action in real time. The visual state change on hit provides immediate feedback without requiring the trader to manually track which levels have been tested. The combination of significance scoring, contrast-stretched heat mapping, and lifecycle state management in a single overlay tool is the core contribution of this indicator. --- Disclaimer This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Past behavior of price around liquidity zones does not guarantee future behavior. All trading involves risk. You are solely responsible for your own trading decisions. -Made with passion by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
Futrues Daily Pivot ZonesAutomatically plots Daily Pivot Point levels as clean rectangle zones directly on your futures chart. Levels are calculated from the previous day's High, Low, and Close — the same levels watched by institutions, banks, and algorithms every single session. Levels Included: PP — Main Pivot Point (most watched level of the day) R1, R2, R3 — Resistance zones above PP S1, S2, S3 — Support zones below PP PDH — Previous Day High PDL — Previous Day Low How To Use: Look for price to reject or bounce off a zone in confluence with your EMA bias and VWAP direction. The more factors that agree at a zone — the stronger the trade. Recommended Zone Buffer By Instrument: MES (Micro E-Mini S&P 500) → 4.0 - 5.0 points MNQ (Micro E-Mini Nasdaq) → 8.0 - 10.0 points MGC (Micro Gold) → 15.0 - 20.0 points MCL (Micro Crude Oil) → 0.15 - 0.25 points M2K (Micro Russell 2000) → 3.0 - 4.0 points Recommended Lookback: 750 bars on a 15-min chart covers approximately 3 trading days of price action.
Penunjuk Pine Script®
oleh scottjc77
Statistical Zone Engine [JOAT]Statistical Zone Engine Introduction Statistical Zone Engine is an open-source overlay indicator that builds pivot-cluster support and resistance zones with walk-forward statistical scoring. Each zone is backed by a full expected value computation: the indicator counts historical touches and bounces from the zone's price range over a configurable lookback, computes a win rate, and derives an EV score in units of R. Zones are tiered into four strength categories — Weak, Moderate, Strong, and Institutional — based on their live touch count, with border thickness and fill opacity scaling proportionally to the EV and tier. Labels display R:R, win rate, EV, and touch count, all updated live each bar. The core problem this indicator solves is that conventional support and resistance drawing tools are entirely qualitative — the trader decides what is significant by eye. The SZE replaces that subjective judgment with a quantitative framework: zone strength is computed from actual price behavior over the lookback window, not from the visual prominence of the swing. A zone that has been tested eight times with seven bounces carries an objectively different statistical weight from one that was tested twice with one bounce, and the SZE communicates that difference through its tier system, border rendering, and live EV label. Cluster merging prevents adjacent pivots at nearly the same price from spawning overlapping zones that would misrepresent true strength. Core Concepts 1. Pivot Cluster Zones The indicator uses ta.pivothigh and ta.pivotlow with a configurable swing length. When a new pivot high is confirmed and no existing resistance zone is within ATR * clusterTol of the pivot price, a new zone is created. The cluster merge check prevents nearby pivots from generating duplicate zones at the same structural level — if a zone already exists within the tolerance radius, no new zone is spawned. This means zones represent genuinely distinct price levels, not just the most recent pivot above an existing zone. 2. Walk-Forward Expected Value Computation For each new zone, the indicator scans the prior lookback bars and counts every bar where the high-low range overlapped with the zone. For each touch, it checks whether the close exited the far side of the zone — if so, it counts as a bounce. Win rate = bounces / touches. EV = winRate * tpRR - (1 - winRate) * slRR. A positive EV means the zone has historically resolved in the bounce direction more often than not, weighted by the configured R:R ratio. 3. Four-Tier Strength System Zone tier is determined by live touch count: Weak: 1-2 touches — thin border (width 1), low opacity fill Moderate: 3 touches — medium border (width 1), moderate opacity fill Strong: 4-5 touches — thicker border (width 2), more opaque fill Institutional: 6+ touches — widest border (width 3), most opaque fill Both the border width and the border transparency scale with tier, producing a visual system where the most historically significant zones dominate the chart. The fill opacity also scales with EV — zones with positive EV are more opaque, zones with negative EV are more transparent. 4. Live Label Updates Each zone carries a label at its right edge displaying: type (RES/SUP), tier name, touch count, win rate percentage, and EV in R units. The label is recalculated and updated every bar when price is inside the zone, ensuring the statistics reflect current behavior. The label text color also scales with tier — more significant zones use brighter text. 5. Sweep Detection When price closes fully through a zone boundary — above the top for resistance, below the bottom for support — the zone is marked as mitigated. If volume exceeds 1.4x the SMA(20) at the mitigation bar, a BREAK label fires above or below the zone. The total sweep count accumulates in the dashboard. After a break, zone fill fades to near-transparent, clearly communicating that the level has been closed through. Features Pivot-Cluster Zone Detection: Swing-pivot based zone creation with ATR-cluster merge deduplication — nearby pivots do not spawn overlapping zones Walk-Forward EV Computation: Historical touch/bounce counting over configurable lookback produces win rate and R-unit EV scores for each zone Four-Tier Strength System: Weak / Moderate / Strong / Institutional tiers based on touch count — border width and opacity scale with tier EV-Scaled Fill Opacity: Positive EV zones are more opaque, negative EV zones are more transparent — fill intensity communicates statistical quality Live Label Updates: Type, tier, touch count, win rate %, and EV in R units update every bar when price is inside the zone Sweep Detection with Volume Filter: BREAK label fires on zone close-through when volume exceeds 1.4x SMA(20) Post-Break Zone Fade: Broken zones fade visually, clearly delineating active versus mitigated levels Proximity Markers: Diamond plotchar fires when price first enters a zone neighborhood Min Touches Filter: Only zones with at least the configured minimum historical touches are displayed, eliminating freshly-formed single-touch zones Zone Trim Management: Oldest zones are removed when arrays exceed the maximum zone count, keeping memory bounded 9-Row Dashboard: Active resistance and support zone counts, near-zone states, total sweep count, TP and SL R:R ratios, ATR 4 Alertconditions: Zone entry for resistance and support, new zone creation for both sides Input Parameters Zone Detection: Swing Length: Pivot confirmation lookback period — higher values detect fewer, more significant pivots (default 10) Cluster ATR Tolerance: Pivots within ATR * this of an existing zone are merged rather than spawning a new zone (default 0.4) Zone ATR Width: Half the zone height as an ATR multiple — controls vertical thickness (default 0.35) Max Active Zones: Maximum concurrent zones per direction before oldest are trimmed (default 12) Min Touches To Show: Minimum historical touches required to display a zone (default 2) Statistics: EV Lookback (bars): Historical bar window for touch/bounce counting (default 200) TP R:R Ratio: Take-profit distance in R units used for EV calculation (default 2.0) SL R:R Ratio: Stop-loss distance in R units used for EV calculation (default 1.0) Visuals: Toggles for zone labels, sweep labels, and dashboard Resistance Color (default orange #f97316), Support Color (default sky blue #38bdf8) How to Use This Indicator Primary Setup — Statistical Zone Entry: Look for Institutional or Strong zones with positive EV — these are the levels with the longest bounce history weighted by your R:R parameters. When price enters a zone, the live label shows the current win rate. Enter at the zone edge with a stop beyond the far edge and a target at your TP R:R ratio from entry. EV as a Selection Filter: Multiple zones may be on the chart simultaneously. Prioritize zones with positive EV labels (e.g., EV: 1.25R) over zones with negative EV. A zone with 4 touches and 75% win rate at 2R:1R produces an EV of +1.25R per trade — objectively worth trading. A zone with 3 touches and 33% win rate at the same R:R produces EV of -0.33R — not worth trading regardless of how prominent it looks. Using the Sweep Count: The total sweep count on the dashboard accumulates every time a zone break is detected with high-volume momentum. Rising sweep counts in one direction indicate the market is consistently breaking through levels on that side — a sign of trending pressure rather than range behavior. Adjust bias accordingly. Cluster Merge and Fresh Zones: When a new pivot forms near an existing zone and is merged rather than spawning a new zone, the existing zone's historical statistics remain unchanged. A fresh zone with no historical data will show EV close to 0 — treat these as unproven until more touches accumulate. Indicator Limitations EV computation scans up to the full lookback on every qualifying pivot — on very long lookback settings and active pivot instruments, this can increase calculation time The walk-forward EV uses the same zone size (ATR * width at creation time) for historical counting. If ATR changes significantly between creation time and the historical scan, the touch count may include bars where the equivalent zone boundaries would have been different Cluster merging uses the current ATR at detection time. In periods of sharply rising or falling ATR, two zones that appear to merge at one ATR level may have been distinct at a different level, potentially underrepresenting zone density The touch count displayed on the label is the live count updated each bar. The historical bounce count used for EV is computed at creation time and is not re-scanned dynamically — the label win rate reflects creation-time statistics The minimum touches filter removes zones with fewer historical touches than the threshold. On fresh instruments or small lookbacks, most zones may be filtered out, especially on less-traded timeframes Originality Statement This indicator is original in its walk-forward EV scoring framework, four-tier visual strength system driven by live touch counts, and the cluster merging deduplication approach. The publication is justified because: Walk-forward EV computation in R units provides a quantitative quality signal not found in standard support/resistance tools — each zone is backed by a historically derived expected value, enabling objective zone selection The four-tier visual system (border width and opacity scaling with tier and EV) embeds the statistical quality directly into the zone appearance, eliminating the need to read labels to gauge significance ATR-cluster merge deduplication prevents pivot-dense markets from generating overlapping zones at the same structural level, producing a cleaner, more meaningful map than raw pivot-based zone tools Live label updates during zone interaction show the evolving win rate and EV as each new touch is counted, providing real-time statistical feedback not present in static zone indicators The post-break fade combined with the total sweep count dashboard provides a structural memory of how many levels have been invalidated, enabling a directional bias gauge derived from zone lifecycle data Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument. Past performance of any pattern or signal does not guarantee future results. All trading involves substantial risk. Always use proper risk management and conduct your own independent analysis. — Made with passion by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
Trend Pulse [BigBeluga]🔵 OVERVIEW Trend Pulse is a structure-driven trend detection indicator that identifies bullish and bearish regime shifts using confirmed pivot breaks and an adaptive volatility-aware trend band. Instead of relying on momentum oscillators or fixed moving averages, Trend Pulse focuses on market structure, price expansion, and trend aging to determine when a trend starts, matures, and potentially exhausts. The indicator is designed to visually communicate trend state directly on price using adaptive bands and progressive color transitions. 🔵 CONCEPT Structure First — Trend direction is defined by confirmed pivot lows and their breaks, not by indicators crossing indicators. Adaptive Trend Band — A volatility-adjusted SMA band expands over time during bearish phases, making late trend reversals harder to trigger. Break-Based Trend Shifts — Bullish trends are confirmed only when price breaks above the adaptive band; bearish trends are confirmed by breaking below structural pivots. Trend Aging — Trend strength is visualized by time-based color gradients that reflect how long a trend has been active, not momentum. 🔵 KEY FEATURES Pivot-Based Bearish Detection A bearish trend is triggered only after a confirmed pivot low is broken. This avoids reacting to temporary pullbacks or intrabar noise. Real-time pivot low level tracking During a bullish trend, the indicator displays the most recent pivot low level and extends it to the latest bar. This helps identify a potential level where the bullish trend may reverse into a downtrend. Adaptive Volatility Band The trend band is built from: A dynamically expanding SMA length ATR-based offset for volatility normalization As the bearish trend matures, the band widens, requiring stronger price expansion to flip the trend back bullish. Bullish Trend Confirmation via Band Break A bullish trend is confirmed only when price breaks above the adaptive band, signaling genuine upside expansion rather than a weak bounce. Automatic Band Reset On bullish trend shifts, the adaptive band resets to a shorter length, allowing faster reaction to early trend stages. Time-Based Trend Coloring Trend color transitions from: Fresh → Mature Bullish → Bearish based purely on how long the trend has persisted since the last flip. Clear Structural Markers The indicator plots: - Confirmed pivot lows - Bearish breakdown points - Bullish breakout points directly on the chart for structural clarity. Full Candle Coloring Candles inherit the current trend color, allowing instant visual recognition of market regime without additional indicators. 🔵 HOW TO USE Use bearish trend shifts to identify structural breakdowns, not just momentum pullbacks. Treat bullish breaks as confirmation of real trend reversals, not early counter-trend signals. Use trend color aging to gauge whether a move is early-stage or potentially mature. Avoid fading trends solely based on color maturity — use it as context, not a reversal signal. Combine Trend Pulse with structure tools (order blocks, liquidity zones, volume) for higher-confidence entries. 🔵 CONCLUSION Trend Pulse is a structure-aware trend engine built around confirmed pivots, adaptive volatility logic, and time-based trend visualization. By separating trend direction from trend age , it avoids common indicator pitfalls such as over-sensitivity and late momentum signals. This makes Trend Pulse especially effective for traders who want clear regime definition, disciplined trend confirmation, and visual clarity directly on price — without relying on lagging oscillators or fixed moving average systems.
Penunjuk Pine Script®
oleh BigBeluga
7
AG Pro Stop Hunt Map Engine [AGPro Series]AG Pro Stop Hunt Map Engine Overview / What it does AG Pro Stop Hunt Map Engine is a price-action overlay designed to map potential trap zones after liquidity sweeps. The script focuses on moments where price briefly moves beyond an important reference level, rejects that move, and then closes back through the swept area. In practical terms, this helps traders visualize where a failed breakout or failed breakdown may have left trapped positioning behind. The engine can work with pivot-based liquidity references, previous day high / previous day low references, or both at the same time. This makes it useful for traders who want a structured way to monitor classic stop-hunt behavior without relying on a single interpretation of liquidity. Instead of treating every wick beyond a level as meaningful, the script applies reclaim logic and filtering rules so that only sweeps with stronger reversal characteristics are highlighted. The core goal is not to predict every reversal. The goal is to organize sweep events into a readable map: where the sweep happened, which side may be trapped, which zones remain active, and which levels are still relevant as price moves forward. That is why the script is built as a map engine rather than a simple marker tool. This publication is especially suited to traders who study rejection structure, failed continuation, stop runs, and liquidity-driven reversals. It can be used as a visual context layer inside a broader workflow that may already include structure, trend, momentum, or higher-timeframe bias analysis. Unique Edge Many liquidity-sweep tools only mark a wick beyond a prior level and stop there. This script takes a more selective approach. It requires a reclaim condition, supports wick-to-body quality filtering, allows optional fake-sweep filtering, and maintains the resulting event as an actionable mapped zone rather than a one-bar marker. Its main differentiation is the emphasis on post-sweep structure. Once a sweep qualifies, the script builds and extends a zone so the trader can continue monitoring that area after the original event. This provides a cleaner framework for seeing whether the market is respecting that trap region, moving away from it, or invalidating it. Another important distinction is the visual hierarchy. The script is designed to separate nearest relevant zones from older or weaker context. This helps keep the chart readable while still preserving useful background information. Instead of cluttering the screen with every historical event at equal importance, the engine highlights what is currently closest and most relevant. Methodology The script first defines the liquidity source. Users can choose pivot highs and lows, previous day high and previous day low, or a combined mode that monitors both. For a bullish trap scenario, price must sweep below a valid downside reference and then reclaim it according to the selected conditions. For a bearish trap scenario, price must sweep above a valid upside reference and then reclaim it. This creates two independent directional engines: one for bullish recovery after downside liquidity is taken, and one for bearish rejection after upside liquidity is taken. The detection logic is built around several layers: 1. Sweep source selection The engine checks whether price has moved beyond a chosen pivot or previous-day level. 2. Wick / body filter The script can require a minimum wick-to-body relationship so that weak or low-conviction candles are filtered out. 3. Reclaim close requirement The user can require price to close back through the swept level before the event is accepted. 4. Fake sweep filter An optional penetration filter limits how deep price can move beyond the level before the event is treated as lower quality. 5. Zone persistence Qualified sweep-and-reclaim events are not left as isolated markers. They are stored and extended forward as zones so the trader can monitor their ongoing relevance. 6. Nearest-zone emphasis The display engine highlights the nearest bull and bear trap zones so current context is easier to read. The result is a framework that treats sweep events as evolving market context rather than isolated historical dots. Signals & Alerts The script identifies two primary event types: Bull Trap Reclaim This appears when price sweeps below a valid reference level and then closes back above it, suggesting that downside liquidity may have been taken and rejected. Bear Trap Reclaim This appears when price sweeps above a valid reference level and then closes back below it, suggesting that upside liquidity may have been taken and rejected. Visual elements can include: - Sweep zones - Trap labels - Right-edge state tags - Nearest-zone emphasis - Origin markers on qualifying sweep bars - A summary panel showing current state and nearest bull / bear trap information Alert conditions are included for: - Bullish trap reclaim events - Bearish trap reclaim events These alerts are event-based. They identify when a qualifying reclaim occurs according to the active settings. Key Inputs Sweep Source Choose whether the engine uses pivots, previous day levels, or both. Pivot Strength Controls how strict the pivot reference detection should be. Require Reclaim Close Requires price to close back through the swept level before a zone is created. Min Wick / Body Ratio Filters low-quality sweeps by requiring stronger rejection candles. Use Fake Sweep Filter Enables an additional penetration-depth filter to reduce weaker events. Max Penetration (ATR Multiple) Sets the maximum allowed overshoot beyond the swept level when fake-sweep filtering is enabled. Chart Mode Allows a cleaner publish-style view or a more detailed analysis-style view. Label Mode Controls how aggressively labels are shown on the chart. Highlight Nearest Bull / Bear Zones Emphasizes the closest active zones for faster visual interpretation. Summary Panel Shows the current trap state, active bull and bear zone counts, nearest trap levels, and the last detected events. Limitations & Transparency This script is not a prediction engine and does not guarantee reversals. A sweep-and-reclaim event can still fail, especially in strong directional environments where price continues expanding after a temporary rejection. Reference choice matters. Pivot-based detection and previous-day level detection describe different types of liquidity behavior. Depending on the instrument, timeframe, and volatility regime, one source may be more relevant than the other. Filtering also changes behavior significantly. Tight wick/body requirements or stricter fake-sweep settings will reduce signal frequency. Looser settings will create more events but may also admit weaker structures. Zones are contextual tools, not standalone trade instructions. Many traders may still want to combine the script with higher-timeframe structure, trend bias, volatility context, or execution rules before making decisions. As with any chart overlay, visual cleanliness depends on timeframe, market conditions, and user configuration. Different settings may be appropriate for intraday charts versus higher-timeframe swing charts. Risk Disclosure This script is for chart analysis and market structure visualization only. It does not provide financial advice, trade recommendations, or guaranteed outcomes. Markets can remain irrational longer than a trap setup appears logical, and any liquidity sweep signal can fail. Always apply independent judgment, position sizing discipline, and risk management. No single indicator should be used in isolation for live trading decisions.
Penunjuk Pine Script®
oleh AGProLabs
2
AG Pro Liquidity Heatmap [AGPro Series]AG Pro Liquidity Heatmap Overview / What it does AG Pro Liquidity Heatmap is a visual liquidity-mapping tool designed to project areas where resting stop interest is more likely to be concentrated. Instead of focusing on a single pattern or a one-bar signal, this script builds a forward-looking heatmap from clustered pivot behavior and displays that information as persistent horizontal liquidity bands on the chart. The core idea is simple: repeated reactions around similar price levels often create zones where traders place stops, breakout orders, or defensive exits. When those levels begin to cluster, they can become structurally important. This script converts that clustering behavior into a heat score and renders it as layered Fire / Ice bands so traders can quickly identify where liquidity concentration may be building above or below current price. The script is not built as a prediction engine, and it does not attempt to claim where price must go next. Its purpose is to help traders organize the chart, monitor the nearest active liquidity bands, and understand which nearby levels appear more saturated, more persistent, or already mitigated. In that sense, it is best used as a market-structure context tool rather than as a standalone entry model. This script is also intentionally different from traditional support/resistance overlays, breakout detectors, and liquidity sweep labels. It does not merely mark recent highs and lows. It clusters pivot-derived levels, weights them into a dynamic heat score, extends them cleanly to the right side of the chart, and then updates or extinguishes them as price interacts with those zones. Unique Edge The unique edge of this script is that it treats liquidity as a developing field rather than a static line. A normal horizontal level script may show one prior high or one prior low. AG Pro Liquidity Heatmap instead tracks repeated pivot concentration, merges nearby levels into composite zones, scores those zones, and then visualizes the result as a layered heat structure. A second differentiator is the lifecycle logic. Once a band has been interacted with, the script does not leave every level unchanged forever. Depending on the selected behavior, a zone can fade or be removed after liquidity is taken. This helps reduce visual clutter and keeps the chart focused on currently relevant liquidity structures rather than a permanently accumulating archive of old levels. A third differentiator is presentation. The script is designed to produce a clean forward projection area with right-extending heat bands, readable labels, Fire / Ice theme control, a functional heatmap panel, and an optional EQ Magnet line that tracks the balance area between the nearest active upper and lower liquidity bands. The goal is not only analytical clarity, but also a chart layout that remains readable during live use. Methodology 1) Pivot detection The script first identifies pivot highs and pivot lows using user-defined left and right pivot lengths. These pivots are treated as candidate liquidity reference points. 2) Cluster merging If a new pivot forms close enough to an existing level, based on an ATR-driven merge distance, the script merges that information into the existing zone rather than creating unnecessary duplication. This allows nearby pivots to accumulate into a stronger composite band. 3) Heat scoring Each zone receives a heat score. Repeated clustering increases that score. When volume weighting is enabled, pivots formed with relatively stronger volume can contribute more heavily to the final score. This does not reveal actual order book liquidity, but it can provide a useful proxy for where market attention and stop concentration may be stronger. 4) Layered rendering Each active zone is rendered as a multi-layer horizontal band. The band thickness and saturation scale with heat score, which makes stronger zones visually heavier than weaker ones. This helps the chart communicate intensity without requiring the user to read every value manually. 5) Liquidity lifecycle When price reaches a zone, the script can either fade it or remove it depending on the selected extinguish mode. Optional mitigation tracking can leave a visual reminder of where liquidity was taken. This behavior is important because it keeps the heatmap adaptive rather than static. 6) Balance tracking When both upper and lower active liquidity bands are available, the script can display an EQ Magnet line between the nearest bands. This is not a target call. It is a contextual balance reference that can help visualize the midpoint of the currently nearest active liquidity field. States & Visual Elements - Fire bands represent upper liquidity concentration derived from pivot highs. - Ice bands represent lower liquidity concentration derived from pivot lows. - Stronger zones become visually denser and more prominent as heat score rises. - Zone labels display side, heat score, and price information in either compact or detailed mode. - The Heatmap Panel summarizes active band count, nearest zones, strongest zones, heat balance, last sweep information, and the current extinguish behavior. - The EQ Magnet line highlights the midpoint between the nearest active upper and lower bands when enabled. - Optional mitigation tracks can remain on the chart after liquidity is taken. How to use it This script is generally most useful as a context layer. Many traders may choose to use it in one of three ways: - to map where price may interact with nearby liquidity concentration, - to judge whether the closest active field is above or below current price, - to avoid taking impulsive decisions directly into dense opposing liquidity. The script can also be useful for chart organization. Traders who already use trend tools, structure tools, or trigger models may use the heatmap as a location filter. For example, a setup forming directly into a strong opposing liquidity band may deserve more caution than a setup developing in cleaner space. Key Inputs Pivot Left / Right Bars Controls how pivots are detected. Smaller values can produce more frequent zones; larger values can make the structure more selective. Cluster Merge Distance (ATR) Defines how close pivots must be to merge into the same liquidity band. Lower values keep zones more separated; higher values create broader clustering. Volume-Weighted Mode Allows higher-volume pivots to contribute more strongly to heat score. This is a proxy weighting mechanism, not direct order-flow confirmation. Minimum Heat Score To Show Filters out weaker zones from the visual display. Visual Saturation Score Controls how quickly the visual intensity reaches its maximum appearance. Base Band Height and Horizontal Band Density Shape the visual footprint of each zone and determine how rich or minimal the rendered band structure appears. Label controls Allow the user to choose label mode, font size, theme, label offsets, and label density. Panel controls Allow the user to change panel visibility, location, theme, and font size. Liquidity Taken Behavior Determines whether mitigated zones fade or are removed. Limitations & Transparency This script does not access order book data, exchange liquidation feeds, or hidden liquidity information. The displayed heatmap is derived from chart-based pivot clustering and optional volume weighting. For that reason, the bands should be understood as technical liquidity proxies rather than direct measurements of real resting orders. The heat score is also relative to the script's own internal logic. It is a ranking mechanism inside this model, not an absolute market-wide score. A higher score means a zone has accumulated more structural weight within the selected settings; it does not guarantee a reaction. Like any chart tool based on pivots, the behavior of the script depends on the chosen timeframe, the selected sensitivity inputs, and the structure of the instrument being analyzed. Lower timeframes can create more noise, while higher timeframes can produce fewer but broader zones. The EQ Magnet line is a contextual midpoint reference only. It should not be interpreted as a fixed target, a required destination, or a directional forecast. Risk Disclosure This script is a visual analysis tool for chart study and trade planning. It is not financial advice, not an execution system, and not a promise of future price behavior. Liquidity zones can fail, be overrun, or be ignored by price entirely. No indicator should be used in isolation. Traders should consider market structure, volatility, risk management, execution quality, and their own process before making trading decisions. Always test settings carefully and use position sizing appropriate to your own risk tolerance.
Penunjuk Pine Script®
oleh AGProLabs
3
AG Pro Structure Labels [AGPro Series]AG Pro HH HL LH LL Structure Labels Overview / What it does AG Pro HH HL LH LL Structure Labels is a clean market-structure reader built to simplify price action without turning the chart into a wall of signals. Its core purpose is straightforward: identify confirmed swing highs and swing lows, classify them as HH, HL, LH, or LL, and connect those points in a visually readable structure path so traders can understand the current sequence of price development at a glance. Many market structure tools try to do too much at once. They mix structure, signals, zones, pattern scoring, and trade suggestions into a single publication, which can make the chart heavier and the analytical purpose less clear. This script takes the opposite route. It focuses on one job only: making confirmed swing structure easier to read, follow, and interpret in real time as the chart evolves. That design choice is what gives this script its value. Instead of asking the user to interpret disconnected highs and lows manually, the script builds a visible structure chain from confirmed pivots and labels each important step. The result is a chart that remains visually disciplined while still communicating trend continuation, structural weakening, and flow transitions in a simple and repeatable format. This script is especially useful for traders who want structure clarity before they bring in any other layer of analysis. It can be used as a standalone structure map, or as a first-pass chart-cleaning tool before applying other concepts such as support and resistance, trend continuation logic, pullback analysis, breakout validation, or discretionary execution rules. Unique Edge The unique edge of this script is not that it attempts to predict where price will go next. Its strength is that it organizes confirmed structure in a way that is visually clean, logically consistent, and immediately usable on live charts. Unlike many AG Pro scripts that are built around event detection, confluence scoring, price-zone visualization, setup quality filtering, or breakout logic, this publication is intentionally narrower and more focused. It is not a BOS/CHoCH event detector. It is not a liquidity-sweep model. It is not an order-block or fair-value-gap engine. It is not a breakout-quality, retest-quality, or pattern-quality scorer. It is also not a fixed reference-level tool such as a prior-day or prior-week high/low mapper. This script is a structure readability tool first and foremost. That distinction matters. Previous AG Pro releases often revolve around a specific trading event: a sweep, a break, a retest, a zone reaction, a continuation pattern, or a multi-factor confluence state. This script does not begin from an event. It begins from the swing chain itself. It asks a simpler question: what is the current sequence of confirmed highs and lows, and what does that sequence imply about market flow right now? Because of that, the script fills a different role in the broader AG Pro library. It is closer to a structural map than a setup engine. It helps answer whether the chart is still printing constructive highs and lows, whether the sequence has started to weaken, or whether the structure is now leaning in the opposite direction. That makes it useful both on its own and as a foundation layer beneath other tools. Another important differentiator is presentation discipline. The structure path provides continuity between pivots, while the label set communicates classification without unnecessary chart clutter. The compact floating HUD reinforces the current flow state without dominating screen space. Together, these choices make the script visually premium while keeping the chart readable. Methodology The script uses a confirmed pivot framework. Swing highs and swing lows are identified using left and right lookback parameters selected by the user. Because pivots require confirmation, labels appear only after the structure point is confirmed by the specified number of bars. This helps reduce noise and keeps the structure map grounded in confirmed rather than speculative swing points. Once a new pivot high is confirmed, it is compared with the prior confirmed pivot high. If it exceeds the previous confirmed high, it is classified as HH. If it does not, it is classified as LH. The same logic applies on the low side: if a confirmed pivot low is above or equal to the previous confirmed pivot low, it is classified as HL; if it is lower, it is classified as LL. The script also includes an ATR-based structure filter. This filter is designed to suppress micro-swings that are too small relative to current volatility, which helps maintain visual cleanliness on choppier charts. Instead of drawing every minor fluctuation, the script attempts to keep attention on swings that are more structurally meaningful for the selected sensitivity. A structure path, shown as a clean zigzag line, connects the confirmed pivots that pass the filter. This gives the user an immediate visual map of the sequence rather than a collection of isolated labels. In practice, this is one of the most useful parts of the script because it turns the market’s swing progression into a readable path. The floating HUD summarizes the current market-flow bias in a minimalist format. It is not intended to act as a trade signal. Its job is to provide a quick structural read so the user can see whether the recent chain is leaning bullish, bearish, or transitional according to the internal swing logic. Signals & Alerts This script is not designed as a one-click entry engine. Its alerts are structural, not predictive. The publication includes alerts for newly confirmed HH, HL, LH, and LL prints, which can help users monitor structure development without staring at the chart continuously. It also includes alerts for structure-flow transitions when the internal trend state turns bullish or bearish. These alerts are best understood as workflow alerts. They tell the user that structure has progressed into a new confirmed condition. They do not guarantee continuation, reversal, breakout success, or trade profitability. Their purpose is to improve awareness of structural change, not to replace independent analysis. Key Inputs Pivot sensitivity is controlled through left and right lookback values. Higher values usually produce fewer but more mature structure points, while lower values usually produce a faster and denser structure map. The ATR filter can be enabled to reduce insignificant swings. This can be particularly helpful on lower timeframes or during periods of uneven, noisy price movement. Users can also control whether the structure path is drawn and can adjust the visual typography for labels and HUD elements. These inputs allow the script to stay visually flexible across different chart styles and screen densities. How this script differs from other AG Pro scripts This distinction is central to the publication. Many AG Pro scripts are built to evaluate the quality of a setup. They may score breakouts, retests, continuation patterns, reversal candles, pressure conditions, or confluence states. Others are built around zones and reactions, such as supply-demand mapping, premium-discount logic, fair value gaps, order blocks, or support-resistance behavior. Others focus on structural events such as BOS/CHoCH changes, liquidity sweeps, inducement traps, or session-specific reactions. This script does none of those things. It does not measure the quality of a signal. It does not score a setup. It does not project targets. It does not identify fixed daily or weekly reference levels. It does not try to map every institutional concept on the chart. It does not attempt to be an all-in-one decision engine. Instead, it provides a cleaner foundation: confirmed HH, HL, LH, and LL sequencing with a filtered structural path and a compact market-flow summary. That is precisely why it is different from the previous AG Pro script as well. If the previous release was anchored to fixed price levels, event detection, or context-specific reactions, this script is anchored to swing continuity. If another AG Pro script answers where price reacted, where a sweep occurred, whether a breakout was strong, or whether a setup deserves a quality score, this one answers a more basic but highly important question: what is the confirmed structure chain doing right now? In that sense, this script is less about trading events and more about structural readability. Limitations & Transparency This script uses confirmed pivots, which means it is not attempting to label unconfirmed structure in advance. As a result, there is an intentional delay equal to the confirmation logic chosen by the user. That delay is not a flaw; it is part of the design tradeoff required to avoid premature structure labels. Like any pivot-based structure tool, output will vary depending on sensitivity settings, timeframe, market volatility, and symbol behavior. A lower sensitivity may reveal more swing detail but can also make the map denser. A higher sensitivity may create a cleaner structure path but may respond more slowly to local shifts. The ATR filter is a visual-cleanliness tool, not a universal truth engine. It can help reduce noise, but different traders may prefer different levels of structural compression depending on how aggressively or conservatively they define meaningful swings. This script should also not be interpreted as a complete trading plan. It does not include position sizing, stop placement, target selection, execution logic, or market-specific risk rules. Users should combine it with their own framework, testing process, and judgment. Risk Disclosure This script is for analytical and educational use. It is not financial advice, investment advice, or a recommendation to buy or sell any instrument. Market structure is an interpretive framework, not a guarantee of future price behavior. A bullish sequence can fail, a bearish sequence can reverse, and a clean structural print can still occur inside a broader context that changes the meaning of the move. Always use independent judgment, apply appropriate risk management, and evaluate the script in the context of your own market, timeframe, and process. Summary AG Pro HH HL LH LL Structure Labels is built for traders who value structural clarity over indicator overload. Its role in the AG Pro catalog is distinct: it is not an event hunter, not a zone engine, and not a quality scorer. It is a clean structure reader designed to make confirmed swing progression easier to see, easier to follow, and easier to integrate into a disciplined chart workflow. If your goal is to understand whether price is still producing constructive highs and lows, whether that chain is weakening, or whether the flow has shifted into a different structural condition, this script is designed for exactly that task.
Penunjuk Pine Script®
oleh AGProLabs
4
AG Pro Pivot Cluster Survival Map [AGPro Series]AG Pro Pivot Cluster Survival Map Overview / What it does AG Pro Pivot Cluster Survival Map is an overlay tool that evaluates the durability of nearby pivot clusters rather than focusing on a single pivot reaction. The script groups Daily, Weekly, and Monthly Classic Pivot levels when they compress into the same price neighborhood, then measures how well that cluster has held up under repeated interaction. The goal is not to label every pivot touch as strong or weak. The goal is to show whether a pivot-derived zone has continued to absorb pressure, remain structurally relevant, or lose stability over time. This makes the script suitable for users who want to monitor confluence-based pivot structure instead of isolated one-bar reactions. The visual model is intentionally compact. The script highlights the nearest upper cluster and the nearest lower cluster, assigns a survival score to each side, and displays a pressure readout for the dominant active zone. The result is a map of pivot-cluster durability, not a generic support/resistance overlay and not a simple reaction detector. Unique Edge The distinguishing feature of this script is its focus on pivot-cluster survival. Many pivot tools concentrate on one level at a time. Many reaction tools classify the immediate response after a touch, reclaim, or rejection. This script approaches the problem differently. It asks whether multiple pivot levels from different higher timeframes are compressing into the same zone, and whether that zone is still surviving repeated market interaction. That difference matters. This script does not score a single bounce. It does not try to predict a reversal from one isolated pivot event. It evaluates whether a pivot cluster remains durable after tests, inside-zone pressure, breaches, and time spent without structural failure. Within the AG Pro catalog, this script is materially different from AG Pro Pivot Points Reaction Map. Pivot Points Reaction Map is centered on reaction quality at pivot levels. Pivot Cluster Survival Map is centered on cluster durability, confluence density, and survival under pressure. In other words, one evaluates the response; the other evaluates the staying power of the pivot cluster itself. It is also different from broader level-survival or support/resistance tools because the source engine here is explicitly pivot-derived. The script is built around Daily, Weekly, and Monthly Classic Pivot families, then transformed into a confluence-survival framework. Methodology The current version uses Classic Pivot calculations from higher timeframes. 1. Daily, Weekly, and Monthly pivot levels are collected. 2. Nearby pivot levels are grouped into clusters when they fall within the active cluster width. 3. The script selects the nearest upper cluster and the nearest lower cluster relative to current price. 4. Each selected cluster is evaluated with a survival model. The survival model is based on factors such as: - cluster density - higher-timeframe participation - repeated tests - rejection behavior - inside-zone pressure - breach frequency - time since structural failure A higher survival score suggests that the cluster has remained more durable under recent interaction. A higher pressure reading suggests that the cluster is experiencing more structural stress. The chart display is intentionally selective. Instead of plotting every pivot line independently, the script concentrates on the nearest relevant clusters and presents them as zones with a backbone line and state label. This is designed to keep the structure readable. States / Signals The script uses state-based interpretation rather than directional promises. Typical state classifications include: - Stable - Strengthening - Balanced - Under Stress - Fragile - Failed These states are derived from the relationship between survival and pressure. They are meant to describe the condition of the cluster, not to issue a guaranteed trading outcome. The panel summarizes: - nearest upper cluster - nearest lower cluster - dominant survival side - cluster pressure - pivot mix currently included in the model The script can also generate alert conditions for: - cluster strengthening - cluster failure - cluster reclaim behavior These alerts are deterministic conditions derived from the script logic. They are informational and should be interpreted within a broader market workflow. Key Inputs Pivot Formula This version is intentionally limited to Classic Pivots in order to keep the clustering and scoring model consistent. Include Daily / Weekly / Monthly These settings control which higher-timeframe pivot families are included in the cluster engine. Cluster ATR Width Controls how aggressively nearby pivot levels are merged into the same cluster using ATR-based spacing. Cluster Percent Width Adds a percentage-based width floor so clusters remain practical across different price scales. Minimum Levels Per Cluster Controls how many pivot levels are required before a true cluster is recognized. Survival Lookback Defines the observation window used for the durability calculations. Visual Controls The script includes settings for cluster visibility, labels, backbone lines, panel location, and font sizes. Limitations & Transparency This script is a structural reading tool. It is not a prediction engine. A high survival score does not guarantee that price will reverse, hold, or trend from that area. A low survival score does not guarantee immediate failure. The values should be read as condition metrics for pivot-derived zones. Because the script groups pivot levels into clusters, output can vary depending on volatility, symbol characteristics, and timeframe context. On some symbols, one side may show a stronger cluster than the other. On some charts, one side may temporarily rely on a weaker fallback anchor when cluster density is limited. This script does not attempt to replace market structure analysis, higher-timeframe context, liquidity analysis, or risk management. It is intended to organize pivot confluence into a readable survival framework. What this script is not: - not a buy/sell signal engine - not a guarantee of support or resistance - not a standalone trade system - not a future-price prediction model Risk Disclosure This script is for chart analysis and decision support only. It does not provide financial, investment, or trading advice. Markets can move unpredictably, and no indicator can eliminate risk. Users should evaluate signals, states, and cluster conditions together with their own process, timeframe alignment, and risk controls before making any decision.
Penunjuk Pine Script®
oleh AGProLabs
1
Swing-Level Z-Score Oscillator▶️Overview The Swing-Level Z-Score Oscillator is an innovative indicator that bridges the gap between classic market structure and statistical probability. Instead of relying on traditional moving averages as a baseline, this oscillator evaluates price extremes relative to recent structural pivot levels (Swing Highs and Swing Lows). By transforming these structural deviations into a standardized Z-Score, it provides a highly intuitive, context-aware perspective on Overbought (OB) and Oversold (OS) conditions. ▶️How It Works (The Logic) Traditional oscillators often lag or provide false signals during strong trends. This script tackles that issue through a unique three-step process: Dynamic Baseline : The algorithm constantly scans for recent Pivot Highs and Pivot Lows. It takes the average of the last N pivots to establish a dynamic "horizontal zone" of recent historical interest. This acts as our expected mean. Error & Volatility: It measures the distance (error) between the current Close price and this expected mean. To understand the significance of this distance, it calculates the rolling standard deviation of these errors. Z-Score Normalization: Finally, it divides the current error by the standard deviation. The result is a clean Z-Score that tells you exactly how many standard deviations the current price has stretched away from recent structural levels. ▶️Key Features Actionable Market Context: Because the baseline is built on actual price pivots rather than arbitrary averages, the oscillator respects current market structure (support/resistance). Intelligent Gradient UI: The indicator features a dynamic color-coding system. The histogram and signal line smoothly fade based on the intensity of the momentum. Vivid Extreme Alerts: When the Z-Score stretches beyond the critical ±2.0 Sigma threshold, the histogram flashes vivid Cyan (Overbought) or Neon Pink (Oversold), immediately catching your attention. Plug-and-Play Presets: Don't want to mess with settings? Use the "Operating Mode" dropdown to quickly switch between Short-term, Standard, and Long-term presets tailored to different trading styles. Fully customizable options are also available. ▶️How to Trade with It Mean Reversion (Fade the Extremes): When the histogram hits the vivid ±2.0 zones, the price is statistically overextended relative to recent swing levels. Look for exhaustion price action (like pin bars) combined with a hook back toward the center line to trade reversions. Pullbacks in a Trend: During a clear trend, look for the oscillator to reset back to the Center Line (0) or the ±1 Sigma lines. These often represent optimal, low-risk entry points (buy the dip/sell the rally) before the trend resumes. Momentum Breakouts: A sudden, aggressive spike that blasts through the ±2 Sigma line can indicate a genuine structural breakout with heavy momentum, rather than a mere overextension. ▶️Settings & Customization If you select "Custom" in the Operating Mode, you can fine-tune: Left/Right Bars: Adjusts the sensitivity of the pivot detection. Lower numbers catch micro-swings, while higher numbers catch major structural points. StdDev Length: The lookback period for calculating the variance of the errors. Past Pivots Count (N): Determines how many historical pivots are used to calculate the "Expected Value" baseline. Disclaimer: This script is for educational and analytical purposes only. Always combine oscillator readings with broader price action analysis and proper risk management.
Penunjuk Pine Script®
oleh SatohK
AG Pro Pivot Points Reaction Map [AGPro Series]AG Pro Pivot Points Reaction Map Overview / What it does AG Pro Pivot Points Reaction Map is an overlay indicator designed to analyze how price behaves around classical pivot levels rather than only plotting those levels as static horizontal references. The script builds Daily or Weekly pivot structures from prior period OHLC data and then tracks the currently active pivot in order to highlight nearby price interaction, reaction quality, and short-term context. Instead of treating every pivot line equally at all times, the script uses an active-pivot framework. This allows the chart to stay focused on the level that is currently most relevant to price while still keeping broader pivot structure visible in the background. The goal is to help traders evaluate whether price is reacting constructively, rejecting, reclaiming, compressing, or losing a key pivot area. The visual design is intentionally split into two layers. The first layer is the classical pivot structure itself, including PP, R1, S1, and optional extended levels such as R2 and S2. The second layer is the reaction map built around the active pivot. This layer adds an ATR-based reaction zone, state detection, filtered event labeling, active context tags, and an information panel so the chart can communicate more than a simple “price above” or “price below” condition. This indicator is intended for chart analysis, workflow support, and structured market reading. It does not attempt to predict future prices, and it should not be interpreted as a standalone trade execution system. It is best used as a contextual overlay that helps organize price behavior around widely followed pivot references. Unique Edge The core distinction of this script is that it is not just another pivot plotting tool. Classical pivot indicators usually stop at drawing levels. This script continues one step further by evaluating reaction behavior around the currently active level. Its main differentiator is the active reaction framework. The script identifies a current pivot focus, builds a dynamic reaction zone around that level, and then classifies price interaction into states such as reclaim, loss, holding behavior, rejection behavior, and compression near pivot. This moves the indicator away from passive level display and toward structured price-context mapping. A second differentiator is the sticky active pivot logic. Instead of shifting focus too aggressively whenever price becomes marginally closer to a different level, the script attempts to keep chart attention anchored to the current active pivot until conditions justify a transition. This improves visual continuity and makes the chart easier to read during multi-bar interaction. A third differentiator is signal hygiene. Reaction labels can be filtered through cooldown logic, score thresholds, and event selection rules so that the chart remains readable. Major events can be emphasized while weaker or more repetitive reactions remain in the background. This helps preserve interpretability instead of overwhelming the screen with every minor touch. Finally, the script combines chart-side cues with a compact state panel. The panel reports the active pivot, pivot price, current distance, live state, last score, and directional bias. This allows users to scan the present context without losing the full visual relationship on the chart. Methodology The pivot engine uses prior Daily or Weekly OHLC values to construct standard pivot levels. These levels form the structural base of the indicator. Depending on settings, the script can display the central pivot point together with first and second resistance/support layers. From that structure, the script evaluates which pivot is currently most relevant to price and assigns that level as the active pivot. A sticky selection process is then used so the active focus does not rotate too easily on minor fluctuations. This helps the script behave more like a context map and less like a constantly flickering nearest-line tracker. Around the active pivot, the script builds a reaction zone using ATR. This means the mapped zone adapts to the instrument’s recent volatility rather than using a fixed absolute distance. A wider volatility environment naturally leads to a wider interaction zone, while a calmer environment keeps the zone tighter. Inside that zone, the script studies price behavior using a combination of position relative to the pivot, candle body structure, wick emphasis, and short-term displacement from the level. It also computes a reaction score designed to quantify how constructive or decisive the interaction appears under the script’s logic. Stronger reclaim or rejection characteristics can therefore stand out from weaker, noisier touches. The result is a layered read of market structure: - classical pivot references define the environment, - the active pivot identifies current relevance, - the ATR-based zone frames the interaction area, - event logic classifies notable reactions, - the panel summarizes the current state. Signals & Alerts The script can identify and label several reaction types around the active pivot. Depending on settings and score thresholds, these may include reclaim events, pivot loss events, reaction holding behavior, and reaction rejection behavior. In addition to chart labeling, the script includes alert conditions for major workflow events. These are designed to notify the user when price is showing a notable interaction around the active pivot. Available alert categories include bullish reaction confirmation, bearish reaction confirmation, pivot loss confirmation, compression near pivot, and active pivot changes. Because this is a contextual indicator rather than a complete strategy, alerts should be interpreted as informational events. They are intended to help users monitor evolving price behavior around important pivot areas, not to replace independent analysis, execution rules, or risk management. Key Inputs Pivot Anchor Selects whether the pivot structure is built from Daily or Weekly source data. Show R2 / S2 Allows the extended pivot structure to remain visible for users who want broader context beyond PP, R1, and S1. Base Pivot Line Width / Active Pivot Line Width Controls the visual hierarchy between background pivot references and the currently active pivot. Reaction Zone (ATR Multiplier) Defines the width of the active reaction zone relative to recent volatility. Wick Emphasis Adjusts how strongly wick behavior contributes to reaction interpretation. Signal Cooldown (Bars) Prevents labels and events from clustering too tightly during noisy price interaction. Show Reaction Labels / Label Mode / Minimum Label Score Controls which reaction labels appear on the chart and how selective the script should be. Focus Mode Adjusts how aggressively non-active pivot lines fade into the background. Reaction Label Size Changes the chart label size for reaction events and edge tags. Show Event Markers / Show Active Pivot Halo / Show Right Edge Active Tag Controls optional visual layers that can make the active structure easier to follow. Passive Context Tags Adds simplified right-edge tags for passive pivot references so faded background levels remain interpretable. Show Info Panel / Panel Position / Panel Theme / Panel Font Size Configures the summary panel to match user preference and chart layout. Limitations & Transparency This script is based on classical pivot concepts and volatility-adjusted reaction mapping. It does not know future price direction, and it does not forecast whether any pivot will hold or fail before price interacts with that area. Reaction labels and scores are formula-driven representations of the script’s internal logic. They are not objective truth statements about market intent, and they should not be interpreted as guaranteed support, guaranteed resistance, or guaranteed continuation/reversal behavior. Like all level-based overlays, the script can produce different impressions depending on the selected timeframe, instrument volatility, and chart conditions. Fast-moving instruments, low-liquidity environments, and sudden news-driven candles may reduce the practical value of any fixed structural framework, including pivots. The active pivot model is intentionally selective. That improves chart focus, but it also means the script emphasizes one current pivot context over other simultaneously visible levels. Users who want a broader or more aggressive level-tracking style may prefer different settings than the default configuration. The indicator is also not a backtesting engine and does not provide complete entry, exit, stop, or position sizing logic. It should therefore be used as one analytical component within a broader decision process. Risk Disclosure This indicator is for analytical and educational use only. It does not provide investment advice, trading advice, or financial advice. Markets involve risk. Price can move through pivot levels without respecting them, reaction quality can deteriorate quickly, and conditions that appear constructive on one bar can fail on the next. No indicator can remove uncertainty from live markets. Users should evaluate this script together with their own market framework, timeframe selection, execution process, and risk controls. Decisions involving capital should never rely on a single indicator, label, panel reading, or alert event in isolation.
Penunjuk Pine Script®
oleh AGProLabs
1
Dynamic Pivot Structure [DPS]Dynamic Pivot Structure (DPS) is a price structure analysis tool that automatically detects pivot points, classifies market structure (HH, HL, LH, LL), and generates dynamic support/resistance zones with mitigation tracking. **Mathematical Foundation:** The indicator uses the standard pivot point detection algorithm with configurable left and right bar confirmations. A pivot high is confirmed when the high of a bar is greater than the highs of all N bars to its left and N bars to its right. Similarly for pivot lows. This provides mathematically validated local extremes rather than arbitrary level selection. Market structure classification follows the Dow Theory framework: Higher Highs (HH) and Higher Lows (HL) define uptrends; Lower Highs (LH) and Lower Lows (LL) define downtrends. The indicator tracks consecutive pivot sequences and labels each new pivot with its structural classification. Support and resistance zones are generated around each pivot using the Average True Range (ATR) for zone width. This creates proportional zones that automatically adjust to the instrument's volatility. The indicator tracks zone mitigation — when price penetrates a zone, it is marked as mitigated and visually faded. **Signal Logic:** Buy signals fire when price is near an unmitigated support zone, above the trend EMA, with RSI below 40 or bullish structure (HH/HL), and ADX confirming a trending environment. Sell signals fire near resistance with bearish conditions. **Features:** - Automatic pivot high/low detection with adjustable sensitivity - Market structure classification (HH, HL, LH, LL) - Dynamic ATR-based support and resistance zones - Zone mitigation tracking with visual feedback - ADX trend strength filter - Trend EMA overlay - Dashboard showing structure type, ADX, and proximity status
Penunjuk Pine Script®
oleh Jamtrader2020
Historical IQBy:MasterTonyTA --- **Historical IQ— Track % Bull/Bear to gauge Historical Context of moves** This indicator measures the historical reliability of key percentage levels derived from pivot highs and pivot lows. Rather than simply drawing support and resistance zones, it scores each level based on what price actually did when it arrived there — giving you a data-driven read on whether a level is worth trading or fading. CUSTOM PICK A % MOVE TO SEE HOW PRICE AS REACTED AT THAT % --- **HOW IT'S CALCULATED** The indicator operates in one of two modes — Bear or Bull — never both at once, keeping the chart clean and the analysis focused. **Bear Mode (Pivot High → -N%)** Every confirmed pivot high is identified using a configurable left/right bar lookback. From that pivot, a horizontal band is drawn at your chosen percentage below it — for example, -10% — with an adjustable tolerance creating a band rather than a single line. Once price enters a new pivot's range the previous band is closed off and locked for historical scoring. On the final bar, every historical band is scanned bar by bar across its entire time window. Each band falls into one of three outcomes: price reached the band and closed above it (held as support — painted gold), price reached the band and closed below it (broke through — painted red), or price never reached the band at all (untouched — painted red but excluded from scoring). **Bull Mode (Pivot Low → +N%)** The same logic runs in reverse. Every confirmed pivot low generates a band at your chosen percentage above it. The three outcomes become: price reached the band and stalled without closing above it (resistance held — gold), price reached the band and closed above it (broke through — painted green), or price never reached the band (untouched — excluded from scoring). **The Scoring** Only bands that price actually tested are included in the stats. Untouched bands are deliberately excluded because a level that was never reached tells you nothing about whether it would have held. The gold hit rate is therefore a pure measure — out of every time price came to this level, how often did it respect it? --- **HOW TO READ THE TABLE** The stats table sits top-right and updates on every bar. It shows: **🟡 Gold (held/stalled)** — the number of historical bands where price tested the level and respected it. In Bear mode this means closed above; in Bull mode this means stalled without closing above. **🔴 Broke through / 🟢 Broke through** — the number of times price tested the level and pushed straight through. These are the failures. **Times tested** — gold plus broke. This is the denominator for all calculations. Untouched bands are not included here. **○ Not yet reached** — shown for context only. These bands exist on the chart but have no vote in the ratio since price never arrived. **🎯 Gold hit rate** — the headline number. This is gold divided by times tested, expressed as a percentage. A reading above 60% lights up gold. Below 60% it turns red. This is the number to watch. **Gold : Broke ratio** — the same relationship expressed as a simplified ratio. A 3:1 ratio means for every three times the level held, it broke once. **Reading** — a plain-language verdict based on the gold hit rate: - 70% and above → Strong support / Strong resistance - 50–69% → Moderate support / Moderate resistance - 30–49% → Weak support / Weak resistance - Below 30% → Unreliable --- **HOW TO USE IT** FIND HISTORICAL % AND WHAT HAPPENED TO SEE THE IMPLICATIONS OF MOVES **Dialing in your target** — start by choosing a percentage that is meaningful for the asset you are trading. Volatile assets like crypto may show more meaningful clusters around larger moves such as 15–20%. Blue chip equities or indices often show cleaner structure at 8–12%. The goal is to find the percentage where the gold hit rate is consistently above 60% across history — that tells you the market has a genuine memory of that level. **Using the tolerance** — the band width setting controls how precise price needs to be to count as a test. A tighter tolerance like 0.2% gives you a sharper level but fewer touches. A wider tolerance like 1% captures more wicks and approaches but may dilute the quality signal. Start tight and widen only if you are seeing very few tests. **Bear mode use case** — after a significant high has formed and the market is declining, the gold bands ahead of price show levels where the market has historically found buyers at this same percentage distance from a prior peak. A high gold hit rate at your chosen decline level is a data-backed reason to watch for a bounce or entry there rather than guessing. **Bull mode use case** — after a significant low has formed and the market is rallying, the gold bands show levels where price has historically stalled at this percentage distance from a prior trough. A high gold hit rate is a reason to consider taking profits, tightening stops, or watching for reversal signals as price approaches. **Pivot sensitivity** — the left and right bar inputs control how significant a pivot needs to be to qualify. Higher values require a more dominant high or low with more bars confirming on either side, producing fewer but more meaningful pivots. Lower values produce more pivots and more bands but may include minor swings that add noise. **The live label** — the percentage shown at the current bar tells you exactly where price sits relative to the most recent pivot. When price enters a band the label turns gold as a real-time visual alert that price is at a historically significant level right now. ---
Penunjuk Pine Script®
oleh MasterTonyTA
Adaptive Pivot Circles▶Overview The Adaptive Pivot Circles is a unique geometric indicator that visualizes dynamic market volatility and potential support/resistance zones. Instead of relying on traditional horizontal lines or linear trends, this script projects historical price and time movements into two-dimensional geometric circles. By applying a Kalman Filter to the distances between historical pivots, the indicator calculates an adaptive, noise-resistant average radius, providing a highly responsive and visually stunning representation of market cycles. ▶Core Concepts & Mechanics 1. Advanced Pivot Detection with ATR Filtering The script identifies significant Pivot Highs (PH) and Pivot Lows (PL) across the chart. To eliminate market noise and prevent minor pullbacks from distorting the geometry, a built-in ATR Filter is applied. A pivot is only considered valid if its height/depth exceeds a specified multiple of the Average True Range (ATR). 2. Adaptive Radius via Kalman Filter Most indicators use Simple Moving Averages (SMA) to calculate historical data, which inherently introduces lag. This indicator utilizes a 1D Kalman Filter to estimate the "true" historical radius—measuring both time (X-axis, bars) and price (Y-axis)—between similar pivots (i.e., PH to PH, and PL to PL). Process Noise (Q): Controls how quickly the filter adapts to new data. Measurement Noise (R): Controls how much the filter smooths out sudden spikes. 3. Geometric Projection (The Rolling Circles) When a new pivot is confirmed, the script projects the anticipated market boundaries. The geometric concept is based on a circle connecting the current pivot to the previous one. If you roll that connecting circle around the current pivot, it creates an outer boundary. To visualize this, the indicator draws two concentric zones around the newly formed pivot: Inner Ring: Radius is 2x the Kalman-averaged historical radius. Outer Ring: Radius is 4x the Kalman-averaged historical radius. ▶Key Features & Settings Kalman Filter Tuning: Fully adjustable Process Noise (Q) and Measurement Noise (R) allow you to fine-tune the algorithm for different timeframes and assets. Visual Aesthetics (Polyline Drawing): Built using Pine Script v5's advanced polyline drawing objects, the indicator features smooth curves, customizable fill transparencies, and a beautiful Glow Effect (layering transparent thick lines under crisp main lines). Performance Optimization: You can adjust the Circle Resolution (number of points) to balance between perfect roundness and script rendering performance. Historical Cleanup: Automatically cleans up old projections to keep your chart uncluttered. Adjust Max History Circles to determine how many recent cycles remain visible. ▶How to Use Dynamic Support & Resistance: The circumferences of the projected circles often act as non-linear support and resistance levels. Watch for price action reactions as the market approaches the Inner or Outer Rings. Volatility Gauge: The size of the circles visually represents the current market volatility and the length of recent price swings. Confluence: Use these geometric projections in conjunction with your existing strategies (e.g., Fibonacci, Volume Profile) to find high-probability reversal zones where price intersects with the circle boundaries. Disclaimer: This script is for educational and visual purposes only. Geometric projections are not guarantees of future price action. Always use proper risk management.
Penunjuk Pine Script®
oleh SatohK
1
Hash Auto Fibonacci## Overview Hash Auto Fibonacci eliminates the most time-consuming part of Fibonacci trading — drawing the levels yourself. Drop it on any chart and it automatically detects the most recent significant swing high and swing low, then instantly draws a complete Fibonacci retracement web anchored to those pivots. No manual drawing, no subjectivity, no missed setups. Built for active traders who use Fibonacci as a core part of their strategy, this tool is engineered to keep up with fast-moving markets through a volatility-adaptive detection engine, a highlighted Golden Pocket zone, a built-in stop-loss reference, and optional multi-timeframe confirmation. ## Key Features **Automatic Swing Detection** The indicator uses a pivot-based algorithm to identify swing highs and lows in real time. A pink dot marks the swing high and a green dot marks the swing low on the chart — always showing only the current active pair, never cluttering your screen with historical markers. **Dynamic Lookback Engine** Rather than using a fixed lookback period, Hash Auto Fibonacci automatically adjusts its sensitivity based on current market volatility. During high-volatility conditions (fast trending moves, breakouts), the lookback shortens to detect swings quickly. During low-volatility conditions (consolidation, ranging markets), it lengthens to filter out noise and identify only meaningful pivots. This is calculated using the ratio of a 50-period ATR to a 10-period ATR, scaled by a user-adjustable multiplier. You can also switch to a fixed manual lookback at any time. **Fibonacci Retracement Levels** The following retracement levels are drawn automatically: - 0 (swing high anchor) - 0.236 - 0.382 - 0.5 - 0.618 - 0.65 - 0.786 - 1.0 (swing low anchor) Optional extension levels (1.272, 1.618, 2.618) can be enabled for targets beyond the swing low. **The Golden Pocket Zone** The 0.618–0.65 confluence zone is highlighted as a gradient-filled amber band directly on the chart. This region — known as the Golden Pocket — is widely regarded as the highest-probability reversal zone within any Fibonacci retracement. The zone enforces an ATR-based minimum thickness so it remains visible even on assets with small absolute price ranges. **ATR Stop-Loss Reference** A dashed red line is automatically drawn below the swing low (bullish setup) or above the swing high (bearish setup) at a distance of 2× ATR-10. This gives a data-driven starting point for your stop-loss placement without requiring a separate indicator. **Multi-Timeframe Confirmation** When the current chart's swing pivot aligns within 0.5% of a confirmed pivot on a higher timeframe (default: 4H), the entire Fibonacci web is visually upgraded — lines become bolder, a confirmation badge appears, and an alert can be triggered. MTF-confirmed webs represent structurally significant levels that multiple timeframes agree on, which historically carry more weight as support and resistance. **Direction Detection** The indicator automatically determines whether the current setup is bullish (retracing upward from a low) or bearish (retracing downward from a high) by comparing which pivot — the high or the low — was confirmed most recently. You can override this manually if needed. **Info Dashboard** A clean navy dashboard in the corner of your chart displays: - Current swing high and swing low prices - 0.5 and 0.618 Fibonacci levels - Golden Pocket price range - Suggested ATR-based stop-loss price - Active lookback period (and whether it's dynamic or manual) --- ## How To Use **Basic setup** Add the indicator to any chart. It works on all timeframes and all assets — crypto, stocks, forex, futures. The Fibonacci web draws automatically. The Golden Pocket zone is the primary area to watch for price reactions. **Reading the chart** - Price pulling back into the Golden Pocket (0.618–0.65 zone) in a bullish setup is the classic high-probability long entry zone - Price rejecting from the Golden Pocket in a bearish setup is a potential short entry or profit-taking zone - The 0.5 level acts as the midpoint — a close above (bullish) or below (bearish) confirms continuation of the retracement - The 0.786 level is deep — a sweep past this level often signals the retracement is becoming a full reversal **Using the stop-loss line** The dashed red SL line is a reference, not a guaranteed stop placement. Use it as a starting point and adjust to your own risk tolerance. On volatile assets, consider placing your stop slightly beyond it to avoid wicks triggering your exit prematurely. **Multi-timeframe confirmation** When the ◆ MTF badge appears, the swing that anchors the current web also exists on the higher timeframe. These setups tend to produce cleaner reactions at Fibonacci levels because they represent areas where both short-term and institutional timeframe participants are watching the same price zone. **Alerts** Five alert conditions are available: - New swing high detected - New swing low detected - MTF confirmation active - Price entering the Golden Pocket - Price at the 0.382 level - Price at the 0.786 level Set these in the Alerts panel to get notified without watching the chart constantly. --- ## Settings Reference **Swing Detection** | Setting | Default | Description | |---|---|---| | Dynamic lookback | On | Automatically adjusts pivot sensitivity based on volatility | | Manual lookback | 10 | Fixed lookback used when dynamic mode is off | | Dynamic multiplier | 9 | Controls the average lookback length in dynamic mode | | Direction mode | Auto | Auto, Bullish, or Bearish override | | Show swing markers | On | Displays pivot dots on the chart | **Multi-Timeframe Confirmation** | Setting | Default | Description | |---|---|---| | MTF confirmation | On | Enables higher timeframe pivot alignment check | | HTF timeframe | 240 (4H) | The timeframe used for confirmation pivots | **Fibonacci Levels** | Setting | Default | Description | |---|---|---| | Retracement levels | On | Draws the standard 0–1 retracement web | | Extension levels | Off | Adds 1.272, 1.618, 2.618 extension targets | | Ratio labels | On | Shows ratio numbers next to each level | | Golden Pocket zone | On | Highlights the 0.618–0.65 zone | | ATR stop-loss line | On | Draws the 2× ATR stop reference | **Info Table** | Setting | Default | Description | |---|---|---| | Show info table | On | Displays the dashboard | | Position | Top Right | Corner placement of the dashboard | --- ## Notes - This indicator is an overlay — it draws directly on the price chart - Works on all timeframes, all markets, and all asset classes available on TradingView - The dynamic lookback is calibrated on BTC/USDT 1H data and performs well across most liquid crypto and equity instruments - Past Fibonacci levels do not guarantee future price reactions — use this tool as part of a broader trading system, not as a standalone signal - This indicator does not repaint. Swing pivots are confirmed before being drawn and are not subject to change after confirmation --- ## By Hash Capital Research
Penunjuk Pine Script®
oleh Hash_Capital
MFE (Market Fractal Entropy)The Market Fractal Entropy (MFE) is a groundbreaking indicator that fully integrates traditional chart analysis with information theory. Unlike conventional oscillators that merely rely on price smoothing or momentum to measure "overbought" or "oversold" conditions, this script takes a strictly mathematical approach to the market's geometric structure. By quantifying elements such as trendline slopes, distances from trendlines, retracements, and extensions as "information content," you can think of it as a multi-faceted chart analysis compressed into a single oscillator. ▶How to Trade with MFE Theoretically, a positive MFE value represents the probability (or information content) of a High being formed (i.e., the probability that the current candle's high becomes a Pivot High, PH). Conversely, a negative value represents the probability of a Low being formed (the probability of the current candle's low becoming a Pivot Low, PL). Therefore, an explosive surge (spike) from the zero-line towards the extreme bands (+90 / -90) strongly suggests that a High or Low is highly likely forming at that exact moment. During a trend, you will often see spikes stopping exactly at the zero line; this indicates an excellent entry opportunity on a retracement. ▶Integrating Traditional Chart Analysis and Information Theory Traditional chart analysis utilizes tools like trendlines, retracements, and extensions to understand the geometric structure of the market. However, interpreting these tools often relies heavily on the subjective judgment of the trader. On the other hand, in Claude Shannon's Information Theory, "Self-Information" (or Surprise) mathematically quantifies the amount of information associated with an event. The lower the probability of an event occurring, the higher its surprise or information content. This script elegantly integrates these two distinct fields. It models the geometric features of past Pivot Highs (PH) and Pivot Lows (PL)—such as the slope of the trend, the depth of the retracement, and the length of the extension—as a probability distribution. It then evaluates the currently forming wave against this historical distribution to calculate its "surprise" (information content). In essence, it objectively and mathematically scores how "rare" or "common" the current geometric structure is, providing a data-driven approach to classical chart patterns. ▶Theoretical & Philosophical Background: Market Geometric Information Theory (MGIT) I have always believed that the market possesses an orderly geometric structure (such as trendlines, horizontal levels, and chart patterns) and a temporal rhythm in which these structures periodically complete themselves. I hypothesized that market dynamism could be understood as a geometric order within the two-dimensional spacetime of price and time. Furthermore, I believe this order can be quantified by treating it as entropy (information content) within a complex system. I call this the Market Geometric Information Theory (MGIT). MGIT views financial markets not as simple time-series data, but as a continuous generation and dissipation of wave structures within a multi-dimensional "geometric feature space." ▶The philosophy of MGIT is built upon two core concepts: Structural Memory: The market is not an amnesiac system. It retains an invisible "probability distribution" of past wave structures, trend angles, and geometric ratios. The market constantly learns from its own history. Geometric Attractors: In complex systems theory, dynamic systems eventually settle into stable states called Attractors. In financial markets, crowd psychology naturally gravitates toward specific, harmonious wave proportions (like Fibonacci ratios). We define these universally preferred proportions as "Geometric Attractors." ▶What is Market Entropy? Based on MGIT, the "Market Entropy" in this script is the quantification of the information content (surprise) generated when a PH (Pivot High) or PL (Pivot Low) is formed at the current candle. It calculates how much the currently forming provisional pivot deviates from the market's "structural memory" (the historical probability distribution). If the calculated surprise is small, it evaluates that the probability of a PH or PL forming is high. Conversely, if the surprise is large, the probability of a PH or PL forming is evaluated as low. ▶The Breakthrough: The Reversal Mechanism The ultimate edge of this indicator lies in its ability to pinpoint market tops and bottoms through the lens of structural mechanics, rather than simple momentum decay. In this indicator, entropy is decomposed into a directional metric consisting of positive entropy and negative entropy. When MFE is close to the positive extreme (+100), the market is evaluated as forming a PH. When MFE is close to the negative extreme (-100), the market is evaluated as forming a PL. ▶Key Features of this Script Four-Quadrant Regime Modeling & Probability Distributions: The market state is dynamically categorized into four quadrants (Uptrend, Downtrend, Expansion, Contraction) using a Markov-like state model. The geometric features (slopes, retracements) of past PH/PL formations are accumulated as a "probability distribution" for each state. The script then calculates the self-information (surprise) of the current provisional PH or PL by evaluating how "rare" or "unlikely" it is against this historical probability distribution. Minimum Information Principle: Evaluates multiple provisional pivot formations and adopts the one with the lowest absolute entropy (least surprise = most likely outcome). Kalman Filter Option: Includes a customizable Kalman Filter (Process Noise $Q$ & Measurement Noise $R$) to intelligently smooth out erratic spikes and isolate the true entropy trend. Dynamic UI & Scaling: The entropy line dynamically changes color based on the zero-line cross. Since information content is inherently unstable and can easily diverge into massive numbers, it uses Tukey Fences and Tanh soft-clipping to maintain an elegant $-100$ to $+100$ bounded oscillator, greatly improving readability and interpretability.
Penunjuk Pine Script®
oleh SatohK
1
Intraday Trading Helper Tools**Intraday Trading Helper Tools** A multi-feature intraday analysis indicator combining Fair Value Gaps, session visualization, key price levels and daily gap detection into a single lightweight script. --- **Fair Value Gaps (FVG)** Detects and draws bullish and bearish FVGs on the current timeframe. Only the closest N gaps above and below price are shown — filled gaps are removed instantly with fill % tracked live. - Per-timeframe on/off toggle (1m → 1M) — disabled TFs skip all calculation, not just drawing - HTF Layers: overlay FVGs from up to 5 higher timeframes (1H, 4H, 1D, 1W, 1M), each showing the single closest gap above and below price - All layers independently toggleable with custom colors **Trading Sessions** Colored background boxes for Sydney, Tokyo, Frankfurt, London and New York with automatic DST adjustment. - Configurable history in days (separately for 1H and minute TFs) - Option to merge Sydney + Tokyo into a single Asia box - Zero calculation cost when sessions are disabled **Daily Opening Gap** Real gap detection — fires only when today's open differs from the previous day's close. Visible on all timeframes. Box is deleted automatically the moment price fills the zone. Works correctly on 24/7 markets (crypto) and traditional markets. **Key Levels** - *PDH / PDL* — Previous Day High and Low - *PWH / PWL* — Previous Week High and Low - *PMH / PML* — Previous Month High and Low - *DO* — Current Day Open (resets each day) - *MO* — Current Month Open (resets each month) All levels independently toggleable with custom colors and labels. **Extremum Points** Confirmed swing highs and lows marked with triangle shapes. Configurable pivot strength. Per-timeframe visibility control.
Penunjuk Pine Script®
oleh arsensench