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Support

Malaysian SnR Levels [UAlgo]Malaysian SnR Levels is a structure based support and resistance overlay that automatically plots three level types on the chart: A-Levels, which act as resistance V-Levels, which act as support Gap Levels, which mark qualifying candle to candle price gaps The script is built for traders who want clean horizontal reference levels that stay active until price decisively crosses through them. Instead of drawing every pivot forever, the indicator manages each level as a stateful object with freshness and activity tracking. A newly created level begins as fresh , becomes unfresh after its first wick interaction, and remains active until price fully crosses through it. Once broken, the level stops extending and is archived on the chart. A major strength of this implementation is its optional multi timeframe workflow. You can leave the timeframe input empty to detect levels on the current chart, or select a higher timeframe to project higher timeframe A, V, and Gap levels onto a lower timeframe execution chart. This makes the script useful for both local chart structure and top down level mapping. The result is a practical support and resistance engine focused on: Pivot based resistance and support Gap based structural levels Fresh versus unfresh state tracking Automatic break detection Optional MTF level projection 🔹 Features 🔸 1) Automatic A-Levels and V-Levels The script detects pivot highs and pivot lows and converts them into horizontal support and resistance levels: A-Levels come from confirmed pivot highs and behave as resistance V-Levels come from confirmed pivot lows and behave as support These are built from pivot calculations on close , not on raw high and low extremes, which gives the levels a close based structural character. 🔸 2) Automatic Gap Levels In addition to pivots, the script detects directional gap style levels when two consecutive candles move in the same direction and the open to prior close gap exceeds a minimum tick distance. Bullish gap logic creates a gap level at the previous close. Bearish gap logic also creates a gap level at the previous close. This gives the indicator a third structural layer beyond classic pivot based support and resistance. 🔸 3) Fresh and Unfresh State Tracking Every new level starts as fresh . A fresh level is considered untouched. Once price interacts with the level by wick, it becomes unfresh : The line style changes to dashed The width becomes thinner The color shifts to the unfresh color theme This helps traders quickly distinguish untouched levels from levels that have already been tested. 🔸 4) Active Until Full Break A level stays active until price crosses through it. Once broken, the level: Stops extending Fixes its endpoint at the break time Keeps the historical line visible Stops updating as an active level This is useful because old levels remain visible for review, while current active levels continue projecting forward. 🔸 5) Multi Timeframe Detection (Optional) The script supports a selectable detection timeframe: Leave it empty to use the current chart timeframe Set it to a higher timeframe to project higher timeframe levels onto the current chart This is especially useful when traders want to execute on a lower timeframe while respecting higher timeframe structure. 🔸 6) Minimum Gap Filter in Ticks Gap levels are filtered by a configurable minimum distance in ticks. This avoids plotting tiny micro gaps and helps keep only more meaningful dislocations. 🔸 7) Duplicate Level Protection Before adding a new level, the script checks whether an active level already exists near the same price. If another active level is within a small tick range, the new one is skipped. This reduces clutter and prevents nearly identical levels from stacking on top of each other. 🔸 8) Separate Visibility Controls Users can independently choose whether to display: A-Levels V-Levels Gap Levels This makes the tool adaptable for different workflows, such as only plotting pivot levels or only monitoring gap structure. 🔸 9) Full Visual Customization The script provides separate color controls for: Fresh A-Levels Unfresh A-Levels Fresh V-Levels Unfresh V-Levels Fresh Gap Levels Unfresh Gap Levels It also allows customization of: Fresh line width Unfresh line width Label size This makes it easy to fit the indicator into different chart styles. 🔸 10) Label Projection to the Right Each active level includes a compact label showing its type: A V Gap The label is automatically pushed several time steps to the right of current price so it stays readable and aligned with the level. 🔸 11) Automatic Level Count Management The script keeps the number of stored levels under control using a maximum active limit. When capacity is exceeded, it tries to remove an older inactive level first. This helps maintain chart cleanliness and stay within TradingView object limits. 🔹 Calculations 1) Pivot Based A-Level and V-Level Detection The script calculates pivots using close, not high or low: float ph = ta.pivothigh(close, pivotLength, pivotLength) float pl = ta.pivotlow(close, pivotLength, pivotLength) Interpretation: A-Level = confirmed close based pivot high V-Level = confirmed close based pivot low Because pivot confirmation requires bars on both sides, the level time is aligned to the true pivot bar using: int ph_t = not na(ph) ? time : na int pl_t = not na(pl) ? time : na 2) Gap Level Detection Logic The script defines bullish and bearish gap conditions using consecutive candles in the same direction plus a minimum gap size measured in ticks. Bullish gap: bool bullishGap = prevBullish and isBullish and (open - close ) >= syminfo.mintick * minGapTicks Bearish gap: bool bearishGap = prevBearish and isBearish and (close - open) >= syminfo.mintick * minGapTicks If either condition is true, the gap level is set at: gap_price := close So the reference price for the gap level is the previous candle’s close. 3) Multi Timeframe Data Selection The script computes levels in a helper function and can either use: Local chart data directly Or higher timeframe data through request.security = request.security(...) If the timeframe input is empty, local values are used. Otherwise, the security values are used: float ph = tf == "" ? loc_ph : sec_ph This gives flexible MTF projection while keeping one consistent logic engine. 4) New Level Event Detection To prevent the same pivot or gap from being added multiple times, the script checks whether the timestamp of the detected event changed: bool new_ph = not na(ph_t) and ph_t != nz(ph_t ) bool new_pl = not na(pl_t) and pl_t != nz(pl_t ) bool new_gap = not na(gap_t) and gap_t != nz(gap_t ) This is an important implementation detail because it avoids a common Pine issue where na != na can propagate as na and block reliable detection. 5) Level Creation and Duplicate Protection Before a new level is added, the script checks existing active levels and rejects duplicates that are too close: if lvl.isActive and math.abs(lvl.price - p) < syminfo.mintick * 10 exists := true This means levels within 10 ticks of an existing active level are treated as duplicates and not added. 6) Level Initialization When a level is created, it starts as: Fresh = true Active = true A line is drawn from the source time and extended to the right: line.new(st, p, st + timeStep, p, xloc=xloc.bar_time, color=c, width=lineWidthFresh, extend=extend.right) A label is also created and placed several time steps to the right: label.new(cur_time + timeStep * 5, p, t, ...) This keeps the label visually separated from the current candle. 7) Fresh to Unfresh Transition Logic A level becomes unfresh when price first touches it by wick while the level is still active. For A-Levels: touchedWick := h >= this.price For V-Levels: touchedWick := l <= this.price For Gap levels: touchedWick := h >= this.price and l <= this.price Once touched: The level remains active isFresh becomes false The line becomes dashed The width changes to the unfresh width The line and label colors switch to the unfresh palette This means a wick touch weakens the level visually, but does not break it. 8) Break / Deactivation Logic A level becomes inactive only when price crosses through it, not merely when it is touched. Cross up condition: bool crossedUp = (o <= this.price and c > this.price) or (c_prev < this.price and c > this.price) Cross down condition: bool crossedDown = (o >= this.price and c < this.price) or (c_prev > this.price and c < this.price) If either is true: this.isActive := false this.lvlLine.set_x2(curTime) this.lvlLine.set_extend(extend.none) this.lvlLabel.set_x(curTime) Interpretation: The level stops projecting and is fixed at the break time. 9) Time Step Handling The script uses the current bar’s time distance to position and extend labels: int timeStep = bar_index > 0 ? time - time : 60000 This is important because the script uses xloc.bar_time , so horizontal positioning is time based rather than bar index based. 10) Maximum Level Management When the array exceeds the user defined maximum, the script tries to remove an inactive level first: if this.size() > maxLevels int removeIdx = 0 for i = 0 to this.size() - 1 SnRLevel lvl = this.get(i) if not lvl.isActive removeIdx := i break Then it deletes that level’s line and label. Important implementation note: If no inactive level is found, removeIdx remains 0, so the oldest level in the array is removed. 11) A-Level, V-Level, and Gap Interpretation In this script: A-Levels are close based pivot highs and function like resistance V-Levels are close based pivot lows and function like support Gap Levels are prior close reference levels from qualifying directional gaps All three share the same lifecycle framework: Fresh Unfresh after wick touch Inactive after a full cross through
Pine Script® インジケーター
UAlgoの投稿
3
ADX Dynamic Zone Inside the SuperTrend with Support / ResistantI like Simple Strategy and just code one using super trend and ADX But like All super trend strategy buy and sell signal most of the time are to late So I am using the super trend like indicator for trend direction and ADX Dynamic buy or sell zone for pull back and if direction is ok we get in trade but only when we have support for long or resistant for short Take profit is fix % and stop is Trailing stop There is A choice if you want to use fixed sum for the trades or increase the size of the trade after # of losing trades The increase of the size is working like D'Alembert System Thanks to Trading view and pinecoders.com for the build in indicators and code If any Questions Let Me Know Happy Trading
Pine Script® ストラテジー
fullmaxの投稿
3
Trade by Design - v1.0.0Trade by Design — NY 17:00 Session Levels (v1.0.0) Overview Trade by Design plots key reference levels derived from a New York–anchored trading day that resets at 17:00 America/New_York. The indicator is designed to make higher-quality context levels visible on any intraday chart by automatically drawing: Previous Week High/Low (HoW/LoW) Previous Trading Day High/Low (HoD/LoD) Current Day Running High/Low (iH/iL) with the current day’s range percentage These levels can be used as structured support/resistance references and as a framework for intraday planning. What the indicator draws 1) Previous Week Levels — HoW / LoW HoW (High of Week): highest price reached during the previous NY-anchored week LoW (Low of Week): lowest price reached during the previous NY-anchored week Week boundary: the week is treated as starting at Sunday 17:00 New York time, aligning the week definition with the same session reset concept used for daily levels. Why it matters: prior week extremes frequently act as decision points where price can reject, consolidate, or break and retest. 2) Previous Trading Day Levels — HoD / LoD HoD (High of Day): highest price reached during the prior trading day LoD (Low of Day): lowest price reached during the prior trading day Trading day boundary: 17:00 NY → 17:00 NY (America/New_York) Why it matters: prior day extremes are commonly used for liquidity, breakout, and mean-reversion context depending on market conditions. 3) Current Day Running Levels — iH / iL iH (Initial/Current High): running high since the selected start time iL (Initial/Current Low): running low since the selected start time The label displays the % range between iH and iL, helping you assess the day’s realized movement at a glance. Optional “Gap” handling (17:00–20:00 NY) You can choose where the iH/iL calculation begins: Include Gap (start at 17:00 NY): iH/iL tracks the entire NY trading day from the reset. Exclude Gap (start at 20:00 NY): iH/iL ignores the 17:00–20:00 window and begins at 20:00 NY. This option exists because some traders prefer measuring the day’s initial range from later liquidity conditions. Controls & Settings Visuals Independent colors for weekly, daily, and current-day levels Line width, line style (solid/dashed/dotted) Separate transparency for current vs historical lines Label size and label offset (in bars) to improve readability History Choose how many prior weeks to display (older weekly levels labeled sequentially) Toggle visibility for historical HoD/LoD and historical iH/iL Label convention Current: HoW / LoW, HoD / LoD, iH / iL (with % range) Historical: sequential suffixes are used to distinguish older levels (e.g., HoD2/LoD2, HoW2/LoW2, etc.) Practical ways to use the levels (examples) Support/Resistance map: treat HoW/LoW and HoD/LoD as structural boundaries for reactions and invalidations. Breakout context: a clean break and acceptance beyond HoD/LoD (or HoW/LoW) can signal continuation; failure to accept can signal range behavior. Volatility awareness: use the iH/iL % range to judge whether the day is expanding (trend-day potential) or compressing (range potential). Confluence: align these levels with your own confirmation tools (market structure, volume, orderflow, trend filters, etc.). Notes & limitations Results depend on the symbol’s session data and the chart timeframe; some markets have unique trading hours that may affect how highs/lows form. This indicator provides reference levels only and does not generate buy/sell signals. Always apply risk management. This is not financial advice. Version history v1.0.0 Stable release of NY 17:00 anchored levels Previous Week High/Low (HoW/LoW) Previous Trading Day High/Low (HoD/LoD) Current Day running High/Low (iH/iL) + range % Optional inclusion/exclusion of 17:00–20:00 NY window for iH/iL Historical rendering controls + styling options for production charting
Pine Script® インジケーター
smart_sdr78の投稿
Strong Breakouts MTF | ProjectSyndicateStrong Breakouts MTF automatically identifies and power-ranks high-probability breakout opportunities by analyzing historical pivot structures. It filters for quality, calculates a 0-10 strength score for every breakout based on zone tightness, candle momentum, and proximity to the breakout level, and presents all data on the chart and in a comprehensive multi-timeframe dashboard to eliminate noise and focus on breakouts that matter. • 🎯 Power-Ranking System (0-10) — every breakout is given a strength score based on a weighted algorithm that assesses zone structure, breakout candle characteristics, and ATR-based volatility, providing an instant quality assessment. • 🎨 Strength-Based Color Scheme — breakout zones are colored by their power rank; stronger breakouts get darker, more prominent colors for immediate visual hierarchy. • 🧠 Smart Pivot Structure Detection — automatically identifies the underlying pivot high/low structure that creates the breakout zone, ensuring the detected levels are based on significant market turning points. • 📊 On-Chart Statistics — each breakout zone displays its direction (Bullish/Bearish) and its calculated strength score directly on the chart. NQ • 🧭 Full MTF Dashboard Display — provides a complete market overview across 7 timeframes (M1, M5, M15, M30, H1, H4, D1), showing the latest breakout signal, its strength, entry/SL/TP levels, and how many bars ago it occurred on that timeframe. The dashboard is stable and consistent regardless of the chart you are viewing. • 🔔 Comprehensive Alerts — get notified the moment a new breakout occurs, with the alert message containing the full details: strength, entry, SL, and TP levels. • ✅ Quality Control Filters — a user-configurable minimum strength score allows you to filter out weak, low-probability breakouts and focus only on high-quality signals. • 🔧 Fully Customizable — control everything from the breakout lookback period and ATR multipliers for SL/TP to the visibility of the dashboard and on-chart visuals. BTCUSD • 🎯 Why this algo is unique: Standard breakout indicators often generate excessive false signals or repaint. This algorithm uses a multi-factor scoring system to quantify the quality of a breakout in real-time. It doesn’t just show you a breakout; it tells you how strong it is. The MTF dashboard provides a complete, stable cross-timeframe perspective that is impossible to achieve with standard indicators. • 🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any timeframe. The breakout lookback and minimum score settings allow it to adapt to anything from scalping to swing trading. USDJPY • 🎯 How to use this? Focus on trading opportunities from high-strength breakouts rated 7/10 or higher, as these have the highest probability of a significant follow-through. Use the dashboard to quickly identify which timeframes have active signals and use the on-chart visuals to analyze the breakout structure in detail. • ⚠️ IMPORTANT NOTICE: This indicator is designed to identify high-probability breakout opportunities. It should NOT be used as a standalone signal for entering trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk. Alerts Setup To receive the detailed breakout alerts, follow these steps: This single alert will trigger for any new Bullish or Bearish breakout detected by the script. 1.Click the "Alert" button in the top toolbar of TradingView. 2.In the "Condition" dropdown, select "Strong Breakouts MTF". 3.In the second dropdown, choose "Any alert() function call". 4.Set "Expiration" to your desired time. 5.Click "Create". Alerts Format BULLISH BREAKOUT Symbol : XAUUSD Timeframe: 5 Strength : 7.4 / 10 Entry : 3185.50 SL : 3181.20 TP1 : 3189.80 TP2 : 3194.10 Bearish Breakout: BEARISH BREAKOUT Symbol : XAUUSD Timeframe: 5 Strength : 6.1 / 10 Entry : 3178.30 SL : 3182.60 TP1 : 3174.00 TP2 : 3169.70
Pine Script® インジケーター
ProjectSyndicateの投稿
3
AG Pro Auto Trendlines (MTF) - Break/Retest - Community - OSAG Pro Auto Trendlines (MTF) - Break/Retest (Community Edition • Open-Source) OVERVIEW AG Pro Auto Trendlines (MTF) is a rules-based market structure tool that automatically detects pivot-driven diagonal structure and renders trendlines across multiple timeframes. The primary goal is to standardize how trendline structure is identified, maintained, and interpreted—especially when you work with multi-indicator charts and need clean, consistent visuals. This script is designed for traders who prefer a systematic approach to structure: identify meaningful swing points, connect them with repeatable rules, and track “break” and “retest” events with optional confirmations. It is not an all-in-one strategy and it does not attempt to predict markets. Instead, it provides a structured lens for trendline-based analysis in a way that reduces subjectivity and chart clutter. COMMUNITY EDITION NOTE This is a Community Edition release. The emphasis is on transparency, study, and repeatability. You can review the logic, learn from it, and adapt it to your own workflow within TradingView’s community standards. WHAT THIS SCRIPT DOES (IN PRACTICAL TERMS) Detects swing pivots and classifies structure by strength and recency. Builds diagonal trendlines using deterministic rules. Supports multi-timeframe (MTF) structure contexts so you can compare “local” and “higher” trendlines. Tracks break events and (optionally) retest conditions. Provides clean, minimal labels intended to remain readable without dominating the chart. Offers profiles and density controls to balance information vs. simplicity. UNIQUE EDGE (WHY IT’S NOT “JUST ANOTHER TRENDLINE TOOL”) Many trendline indicators either (1) draw too many lines, (2) require heavy manual tuning, or (3) repaint aggressively with ambiguous rules. This script focuses on: Rule clarity: trendlines are produced from well-defined pivots and consistent selection rules. Structure separation: “micro / meso / mega” concept via profiles so you can choose a structural horizon. Stability controls: optional “Locked” behavior that prioritizes interpretability over constant redraw. Break/Retest as an interpretation layer: the script doesn’t only draw lines—it helps you observe when structure is challenged and whether price returns to test it. DESIGN PHILOSOPHY The chart must remain readable. Lines must be explainable: if a line exists, the user should be able to infer “why.” Signals should be optional and conservative (confirmation matters). Defaults should be sensible for most liquid markets; advanced controls are available for edge cases. METHODOLOGY (HIGH-LEVEL) The indicator follows a simple pipeline: A) Pivot Detection Swing points are derived from price action using a fixed pivot logic (left/right strength). Pivots are filtered and ranked to avoid noise dominance. The objective is to anchor trendlines to “structure-worthy” turning points, not every minor wiggle. B) Trendline Construction Trendlines are formed by connecting eligible pivots under deterministic constraints. Candidate lines are evaluated for relevance (recency / quality / interaction). Line selection prefers clarity and avoids overpopulating the chart. C) Multi-Timeframe Context (MTF) The script can incorporate higher timeframe pivots/structure to contextualize local moves. This is useful when lower timeframe price action is reacting to higher timeframe diagonals. D) Break / Retest Interpretation Layer A “break” is detected when price meaningfully violates a trendline under the chosen confirmation rule. A “retest” is detected when price returns to the broken/active structure zone under a defined proximity logic. Retest logic is optional and can be configured for conservative behavior. SIGNALS & EVENTS (WHAT THE LABELS MEAN) This tool is primarily visual, but it can optionally expose events as alerts depending on your configuration. Common event types: Active Structure: * A trendline currently considered valid/active according to the selection and stability rules. Break: * Price crosses the trendline in a direction that violates the prior structural role. * Important: break significance depends on your confirmation setting (see below). Retest (Optional): * After a break, price revisits the trendline zone. * Retest is often a “context event,” not a guaranteed entry. Many retests fail or overshoot. CONFIRMATION MODES (WHY “CLOSE” VS. INTRABAR MATTERS) A frequent source of confusion is whether a break should trigger on: Intrabar touch/cross (more responsive, but noisier), or Bar close confirmation (slower, but usually cleaner). If you enable Close confirmation: Break labels/events wait for the candle to close beyond the line (reduces whipsaws). Retest logic typically becomes more meaningful because the break is “confirmed” by closing data. If you use intrabar logic: You will see earlier breaks, but expect more false positives in choppy regimes. PROFILES (MICRO / MESO / MEGA) Profiles are intended as “structural horizon presets.” Exact behavior depends on the internal pivot strengths and selection constraints, but conceptually: Micro: short-horizon structure, more reactive, suitable for active monitoring. Meso: balanced structure, typically a good default for swing structure. Mega: longer-horizon structure, fewer but more dominant lines. If you feel “too many lines,” reduce density or move up the horizon (Micro → Meso → Mega). If you feel “not enough information,” increase density or move down the horizon (Mega → Meso → Micro). DENSITY / CLEANLINESS CONTROLS The indicator includes controls intended to keep the chart usable: Density (Balanced / Cleaner / Fuller): adjusts how aggressively lines are filtered. Replace vs. Keep behavior: controls whether new lines replace old ones as structure evolves. Locked mode: prioritizes stability and reduces frequent redraw behavior. A practical approach: Start with Balanced density and Locked mode. If you want more responsiveness, reduce locking or increase density gradually. If you want a presentation-quality chart, prioritize locking and cleaner density. HOW TO USE (WORKFLOWS) Workflow 1 — “Structure First, Indicators Second” Apply the script with defaults. Identify dominant diagonals (especially higher timeframe context). Add your favorite momentum/volume tool only after structure is clear. Use breaks/retests as context to interpret indicator signals (not as stand-alone triggers). Workflow 2 — “MTF Bias + Execution Timeframe” Use a higher timeframe (e.g., 4H / 1D) context in the script. Execute on a lower timeframe (e.g., 15m / 1H) while respecting higher timeframe diagonals. A lower timeframe signal against a higher timeframe trendline is not “wrong,” but it is higher risk. Workflow 3 — “Break-Then-Retest Observation” Focus on clean breaks using Close confirmation. Observe whether price returns to retest the level. Track the retest outcome to understand regime shifts (trend continuation vs. transition). IMPORTANT NOTES ABOUT INTERPRETATION Trendlines are not magic levels. They are a structured representation of diagonal support/resistance. In ranging markets, trendline breaks occur frequently and are less informative. In trending markets, diagonal structure is often respected, but overshoots and volatility spikes happen. Retests are context events. A retest can fail, succeed, or become a consolidation zone. TRANSPARENCY & LIMITATIONS 1. Not a strategy / not a signal guarantee This script does not promise profitability and should not be interpreted as a predictive system. It provides structure visualization and optional event labeling. 2. MTF limitations MTF data is derived from higher timeframe aggregation. Depending on the symbol/session and chart conditions, the exact appearance can differ across timeframes. This is expected behavior in MTF analysis. 3. Pivot-based structure is inherently lagging Pivots require a certain number of bars to confirm. This is the trade-off for structure quality. Faster pivots increase noise; slower pivots increase lag. 4. Structural redraw behavior Even with stability controls, structure can evolve as new pivots form. “Locked” behavior helps, but no structure tool can freeze reality without losing relevance. 5. Alerts are context, not execution If you enable alerts, treat them as notifications to review context, not as automatic trade triggers. PERFORMANCE NOTES This script is designed with multi-indicator chart usability in mind: Visual output aims to be minimal and readable. Defaults are chosen to avoid excessive object spam. If you increase density and enable many features simultaneously, object counts and chart load can increase. Recommended: tune step-by-step and keep only what you actively use. FAQ Q: Why do I sometimes see fewer lines than expected? A: The selection filters prioritize “structure-worthy” lines. Increase density, reduce locking, or use a more reactive profile. Q: Why did a line change? A: A new pivot can shift the best-fit structural representation. Use Locked mode if you prefer stability. Q: Which timeframe should I use? A: Many users find 1H–4H best for structure clarity. If you scalp, use Micro profile with more conservative confirmation. Q: Can this replace horizontal support/resistance? A: No. Diagonal structure complements horizontal levels. Many meaningful areas are a confluence of both. RISK DISCLOSURE Trading involves risk. Past market behavior does not predict future results. Trendlines, breaks, and retests can fail, overshoot, or reverse abruptly—especially during high volatility, news events, low liquidity periods, and regime transitions. Always use risk management, position sizing discipline, and confirm structure with broader context. NOT FINANCIAL ADVICE This indicator is provided for educational and informational purposes only and does not constitute financial advice, investment advice, or a recommendation to buy or sell any instrument. CHANGELOG (SUMMARY) V7.x: Community Edition packaging, cleaner HUD, stability-focused defaults, and clearer break/retest presentation. Focus: readability, rule clarity, and low-clutter output for real-world charts.
Pine Script® インジケーター
AGProLabsの投稿
5
Prev day High, Low, Close + continuing trend 📊 Yesterday's Levels: Market Strength and Sentiment (HLC) This indicator is designed for intraday traders who need to quickly identify the previous day's key levels (High, Low, and Close) and, most importantly, understand the sentiment of the previous session at a glance. 🔍 What does this indicator do? Unlike other “Daily High/Low” indicators, this tool cleans up historical noise and pre-market gapping to provide a purist view of the regular session. Real Static Levels: Draws the YHP (Yesterday's High Price), YLP (Yesterday's Low Price), and YCP (Yesterday's Close Price). No “Steps”: Lines only appear in the current session and start exactly at the market open (RTH), eliminating annoying pre-market tails. Thirds Strength Analysis: Applies an algorithmic rule based on the location of the close relative to the previous day's total range: Green Shading (Bullish Strength): If the price closed in the upper third of the range (dominant buying pressure). Red Shading (Bearish Strength): If the price closed in the lower third of the range (dominant selling pressure). No color: If the close was neutral (in the middle third). ### 💡 How to use it? * **Trend Continuity**: If you see green shading and the price opens above the PDC, buyers are in control. * **Reaction Levels**: The PDH and PDL act as natural support and resistance levels where institutions tend to make decisions. * **Session Filter**: Ideal for avoiding “traps” during the pre-market, as the indicator only activates when real liquidity begins. ### 🛠 Technical Features * **Optimized for MSTR and volatile assets**: Filters weekend gaps to maintain data accuracy. * **Dynamic Tags**: Level names automatically scroll to the right so as not to obstruct the candles. * **Clean Code**: Written in Pine Script v5 with corrected `lookahead` logic to avoid repainting.
Pine Script® インジケーター
raiben10の投稿
Strong SR Zones | ProjectSyndicateStrong SR Zones automatically identifies and power-ranks high-probability support and resistance levels by clustering historical pivots. It filters for quality, calculates a 0-10 strength score for every zone based on age, touches, and historical performance win rate, and presents all data on the chart and in a comprehensive dashboard to eliminate clutter and focus on levels that matter. • 🎯 Power-Ranking System (0-10) — every S/R zone is given a strength score based on total touches, age, and its historical bounce-vs-break "win rate" for instant quality assessment. • 🎨 Strength-Based Color Scheme — zones are colored by their power rank stronger zones get darker, more prominent colors for immediate visual hierarchy. • 🧠 Smart Pivot Clustering — automatically merges nearby pivot highs and lows into single, consolidated S/R zones to reduce chart noise and reveal true institutional levels. • 📊 In-Zone Statistics — each zone displays its price, total touches, age in bars, strength score, average bounce size in pips, and historical win rate directly on the chart. • 🧭 Full Dashboard Display — provides a complete market overview, including the current trading session, volatility state, and a list of all active support and resistance zones with their strength and distance from the current price. • 🔔 Comprehensive Alerts — get notified when price approaches any S/R zone, with special alerts for high-strength zones rated 7/10 or higher, ensuring you never miss a key level interaction. • ✅ Quality Control Filters — user-configurable inputs for pivot lookback, minimum touches, and a lookback period of up to 5000 bars allow for deep customization to match any trading style. • 🔧 Fully Customizable — control everything from the max number of levels shown and zone width to the text size of all labels and dashboard elements. • 🎯 Why this algo is unique: Standard pivot indicators flood the chart with dozens of meaningless lines. This algorithm intelligently filters, merges, and ranks them. It doesn't just show you where support and resistance was, it quantifies how strong it is based on historical performance, giving you a clear edge. You instantly see which levels have a proven history of holding and which are likely to break. • 🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any timeframe. The lookbackBars and minTouches settings allow it to adapt to anything from scalping to swing trading. • 🎯 How to use this? Focus on trading opportunities around high-strength zones rated 7/10 or higher as these have the highest probability of producing a significant reaction. Use the dashboard to quickly identify the most immediate S/R levels and the alerts to prepare for potential entries or exits. • ⚠️ IMPORTANT NOTICE: This indicator is designed to identify high-probability support and resistance zones. It should NOT be used as a standalone signal for entering trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk.
Pine Script® インジケーター
ProjectSyndicateの投稿
12
Stochastic RSI + Super trend + support and resistant Strategy I decide to make strategy of this 4 indicators build in in Trading View So thanks Trading View team Stochastic RS , Super trend , Support and Resistant How the strategy works? So I am using the super trend like indicator for trend direction and Stochastic RSI for pull back and if direction is ok we get in trade but only if have Support if we going long or Resistant if we going short for exit I am using Trailing stop thanks to tradingcode.net The strategy gave good result so let me Know What you think ?
Pine Script® ストラテジー
fullmaxの投稿
6
Mean Deviation Trend [BackQuant]Mean Deviation Trend Overview Mean Deviation Trend is a structure-based trend and regime indicator that measures directional pressure as the market’s sustained deviation from a moving “mean,” then uses that pressure to drive an adaptive band , dynamic coloring, and a level engine that marks deviation peak extremes after momentum fades. Most trend tools start with direction, for example slope or MA cross, then try to estimate strength later. This script does the reverse: It first quantifies how far price is displaced from a central mean in volatility-adjusted units . It then smooths and accumulates that deviation to determine trend direction and conviction . Finally it converts conviction into a band that tightens when pressure is strong and widens when pressure is weak. The result is a single framework that blends: A mean anchor (EMA). A signed deviation engine normalized by ATR. A conviction score based on sustained deviation. An adaptive band that behaves like dynamic support/resistance. A “deviation peak” level system that plants levels at extremes after the push fades. Optional glow, fills, candle coloring, and flip markers. Core concept: deviation from mean as trend fuel A trend is not just “price up” or “price down.” A trend is a persistent imbalance where price spends time displaced from fair value and keeps re-asserting that displacement. This indicator treats the mean as a moving fair value proxy, and it measures how aggressively price is departing from it. Key idea: If price stays above the mean and that displacement is sustained, bullish pressure is dominant. If price stays below the mean and that displacement is sustained, bearish pressure is dominant. If price keeps snapping back and deviation cannot sustain, regime is weak and uncertainty is high. This is why the script doesn’t rely on a single moment like a cross. It cares about persistence . Mean anchor (the “center of gravity”) The mean is defined as an EMA of close: mean = EMA(close, meanLen) Why EMA: It responds faster than SMA to regime changes. It provides a stable anchor without overreacting to single bars. The mean line is not just a moving average here, it is the reference line that deviation is measured against. Everything downstream depends on the mean being a consistent “center.” Volatility normalization (why ATR is essential here) Raw distance from mean is meaningless across volatility regimes. A $200 deviation on BTC might be noise one week and huge another week. To fix this, the script normalizes deviation by ATR: atr = ATR(14) rawDev = (close - mean) / atr Interpretation: rawDev is “how many ATR units price is away from the mean.” This makes deviation comparable across timeframes and volatility states. This is critical because it turns the indicator into a dimensionless pressure metric rather than a price-distance tool. Deviation smoothing (instantaneous pressure vs noisy pressure) Instantaneous deviation can spike on one candle and mean nothing. So the script applies EMA smoothing to raw deviation: devSmooth = EMA(rawDev, devLen) What this does: Reduces single-bar spikes. Keeps the sign and general magnitude of displacement. Creates a cleaner “pressure line” that responds but does not jitter. This is the first stage of filtering: “Are we meaningfully deviating, or just wicking?” Deviation accumulation (turning pressure into conviction) This is the part that makes the indicator behave like a trend conviction model rather than a simple oscillator. The script computes: cumDev = SMA(devSmooth, devAccum) Even though it’s coded as an SMA, conceptually it behaves like a rolling accumulation of the deviation signal: If devSmooth stays positive for multiple bars, cumDev rises and stays positive. If devSmooth stays negative for multiple bars, cumDev drops and stays negative. If devSmooth flips sign repeatedly, cumDev compresses toward zero. This is the key “persistence detector.” It converts short-term deviation into a medium-term conviction read. Trend direction and flips Trend direction is derived purely from the sign of cumulative deviation: tDir = cumDev > 0 ? +1 : -1 flip = tDir != tDir Interpretation: Bull regime means the market’s sustained deviation is above the mean (pressure up). Bear regime means sustained deviation is below the mean (pressure down). A flip marks a regime transition where the sustained bias changes sign. This is intentionally simple because all the complexity is in how cumDev is built. Measuring conviction: devNorm (adaptive strength scale) The script measures absolute conviction: devAbs = abs(cumDev) Then it normalizes it relative to a rolling peak: devHigh = highest(devAbs, 80) devNorm = devHigh > 0 ? min(devAbs / devHigh, 1) : 0 Meaning: devNorm is a 0..1 strength scale. 0 means current conviction is tiny relative to recent extremes. 1 means conviction is at the strongest level seen in the last ~80 bars. This is not a z-score, it’s a “relative-to-recent-peak” normalization. That matters because it makes the band behavior adapt to each instrument’s recent character, not a fixed threshold system. Adaptive band logic (tight when confident, wide when uncertain) The band is built to behave differently depending on conviction. When conviction is strong, the band should hug price and act like a close structural guide. When conviction is weak, the band should widen and stop pretending it is precise. This is done by interpolating between two ATR multipliers: bandTight = ATR multiplier when devNorm is high bandWide = ATR multiplier when devNorm is low bandMult = bandWide - devNorm * (bandWide - bandTight) bandW = atr * bandMult Interpretation: devNorm near 1 → bandMult approaches bandTight → band width shrinks. devNorm near 0 → bandMult approaches bandWide → band width expands. So the band width is not arbitrary. It is a direct function of trend conviction. Active band placement (trend-aware support/resistance) The “active band” is placed on the opposite side of the mean depending on direction: If bullish: activeBand = mean - bandW If bearish: activeBand = mean + bandW So in bullish regimes, the band behaves like a dynamic support zone beneath the mean. In bearish regimes, it behaves like dynamic resistance above the mean. Then it is smoothed: activeBand = EMA(activeBand, 3) This prevents the band from stepping too harshly when ATR shifts. Outer band (secondary structure reference) A second band is created at half width on the opposite side: bull: outerBand = mean + bandW * 0.5 bear: outerBand = mean - bandW * 0.5 Then smoothed again. This outer line is not the main “stop band,” it is more of an additional structure marker to show where the mean plus/minus partial deviation zone sits. It can help visually gauge whether price is extended relative to the mean structure while still in the same regime. Color system (strength-aware gradient) The trend color is not binary. It is strength-weighted: If bullish, devNorm drives a gradient from a faint bull tint to full bull. If bearish, devNorm drives a gradient from a faint bear tint to full bear. This gives you an immediate read: Bright strong color = conviction high. Faded color = conviction low, regime fragile. It also ties into the glow and fill so the whole visual language matches the same underlying “pressure” variable. Deviation peak level engine (how the script plants levels) This indicator includes a separate mechanism that marks important extremes after a strong deviation push fades. The idea is: When trend pressure peaks and then collapses, the extreme price printed at peak deviation often becomes a reaction level later. This is similar in spirit to: exhaustion extremes, climactic deviation points, distribution/accumulation turning zones, but the script formalizes it using the deviation engine. 1) Track the strongest deviation peak The script stores a running peak: peakDev: maximum devAbs seen since last reset peakPrice: the extreme price at that peak (high for bull, low for bear) peakDir: direction at peak peakBar: bar index of peak When devAbs prints a new high, it updates those values. 2) Define “fade” (momentum has cooled) A fade event triggers when: peakDev is meaningfully large (peakDev > 0.3) current devAbs drops below a fraction of the peak: devAbs < peakDev * fadeThr fadeThr is the key user control. Lower fadeThr requires a deeper drop from peak before planting a level. What “fade” means in practice: A strong push happened (deviation expanded). That push is no longer active (deviation contracted). So the extreme created during the push is now “locked in” as a candidate level. 3) Plant a level at the extreme When faded: A dashed horizontal line is created at peakPrice. The line is projected forward (bar_index + 60). It is stored in an array with direction and retest state. It also respects maxLvls by deleting the oldest levels to avoid clutter. 4) Maintain levels and delete invalid ones Each bar, levels are checked: If price breaks far beyond the level (by about 2 ATR in the wrong direction), the level is deleted. That “broken” rule is a pragmatic invalidation filter. If price rips through a former deviation extreme by a large margin, the level is no longer acting like a meaningful reaction zone. 5) Detect retests and mark them A retest is detected when: close is within ~0.25 ATR of the level, and two bars ago price was not near it (distance > 0.5 ATR), and the level hasn’t already been marked as retested. When that happens: A diamond marker is printed (◆) above or below depending on approach. The level is flagged as retested so it won’t spam markers. So levels are not just static drawings. They have state: naked vs retested, and they get culled if invalidated. Glow system (volatility-scaled aesthetic, strength-scaled intensity) Glow is not random decoration here. Its width scales with devNorm: glowMult = 0.4 + devNorm * 1.2 glowW = atr * 0.08 * glowMult So in strong trends: Glow band expands. The mean core visually “radiates” more. In weak trends: Glow shrinks and becomes less prominent. The glow is built using multiple invisible plots above and below the mean, then layered fills with different transparencies. It creates a soft gradient aura around the mean that encodes strength. Band fill and line break behavior The active band is plotted with plot.style_linebr and forced to break on flips: bandBrk = flip ? na : activeBand This prevents the band from drawing a misleading connecting line across a regime change. It visually resets when direction flips, which matters because the band swaps sides of the mean when regime changes. Fill is drawn between: the active band line and hl2 (mid-price reference) So you get a shaded zone that reflects the current regime color and strength. Candles and flip labels Candles can be colored by the same strength-weighted regime color, which makes the entire chart consistent. On flips: Bull flip prints ▲ at the low. Bear flip prints ▼ at the high. These are regime markers, not “entry signals” by default. They simply identify when the cumulative deviation sign changed. How to read this indicator in practice 1) Regime and conviction Direction comes from cumDev sign. Conviction comes from devNorm intensity. Bright color + stable band on one side means strong sustained pressure. Faded color + widening band means weak sustained pressure and higher uncertainty. 2) Using the active band as structure In a bullish regime, activeBand is below mean and can behave like: dynamic support, risk boundary, trend “line in the sand.” In bearish regime, it flips above mean and acts like dynamic resistance. Because the band widens when conviction is low, it naturally tells you “do not treat this as a tight stop zone when the trend is weak.” 3) Using deviation peak levels Peak levels represent exhaustion extremes after a strong deviation impulse faded: If price returns to a naked level, that area can act as a reaction zone. Once retested, the script marks it and treats it as less “special.” If price breaks it by a wide margin, the script removes it as invalid. This level engine is best viewed as “structural memory of deviation events,” not generic support/resistance. 4) Extreme deviation alert devNorm > 0.85 means the current sustained deviation is near the strongest seen recently. That’s useful for: identifying trend climax states, detecting when continuation is strong but risk of snapback rises, flagging conditions where mean reversion pressure is building. It does not guarantee reversal, it flags “stretch.” Inputs and what they actually change Mean Length (meanLen) Controls the anchor responsiveness: Lower = mean follows price more closely, deviation shrinks, more frequent flips. Higher = mean is slower, deviation grows, trend regimes last longer. Deviation Smoothing (devLen) Controls how noisy the deviation signal is: Lower = faster response, more jitter. Higher = smoother pressure, slower flips. Deviation Accumulation (devAccum) Controls persistence requirement: Lower = trend conviction reacts quickly but can whipsaw. Higher = requires sustained deviation, fewer flips, more confirmation. Band Tight / Band Wide These define the band behavior range: bandTight: how close the band gets when conviction is strong. bandWide: how far it drifts when conviction is weak. If you want the band to behave more like a stop guide, reduce bandWide. If you want it to act more like a regime boundary, increase bandWide. Fade Threshold + Max Levels These shape the level engine: fadeThr lower = requires bigger cooling before planting levels (fewer, more meaningful). fadeThr higher = plants levels earlier (more levels, more noise). maxLvls controls clutter and historical depth. Alerts (what they represent) Dev Bull / Dev Bear: regime flips, cumulative deviation changed sign. Dev Faded: a deviation peak cooled enough to plant a level. Extreme Dev: sustained deviation is near local maximum, stretch condition. Summary Mean Deviation Trend models trend as sustained, volatility-normalized displacement from a mean rather than simple direction. It smooths and accumulates signed deviation to extract regime and conviction, then converts that conviction into an adaptive ATR band that tightens when pressure is strong and widens when pressure is weak. On top of that, it tracks deviation peak extremes and plants forward levels only after deviation fades, creating a structured map of “where trend impulses peaked” and how price reacts when those zones are revisited.
Pine Script® インジケーター
BackQuantの投稿
Golden Ratio Levels: Static Range Anchor核心功能 本指标基于指定历史区间（可偏移）的最高点和最低点，在图表右侧绘制静态的黄金分割支撑/阻力位。所有数值仅在最后一根K线确定，永不重绘，信号稳定可靠。 特点与优势 ✅ 不重绘：只在图表最新K线计算一次，避免未来函数影响，适合交易决策。 ✅ 偏移周期：可跳过最近若干K线，剔除未完成K线或短期噪声，使区间更具代表性。 ✅ 视觉清晰：不同颜色和线型区分各分割位（23.6%、38.2%、50%、61.8%、80.9%），右侧标签显示百分比和精确价格。 ✅ 起点修正：垂直线和“起点”标签精确对齐计算区间的第一根K线，无视觉偏移。 ✅ 内存优化：自动清理旧图形，保持图表简洁。 参数说明 统计周期：用于寻找高点和低点的K线数量。 偏移周期：将计算窗口向后移动的K线数（从当前K线往前推）。 显示比例标签：控制右侧百分比标签的显隐。 适用场景 识别趋势中的回调支撑（上涨后回调至38.2%、50%、61.8%） 判断反弹阻力（下跌后反弹至上述位置） 结合K线形态、成交量或其他指标提高胜率 注意事项 本指标为静态工具，只在最新K线显示当前周期的分割线，切换K线或滚动历史时旧线不保留。 黄金分割位是概率性位置，需配合市场确认信号使用。 Core Function This indicator calculates static Fibonacci retracement levels based on the highest and lowest points of a user-defined historical range (with an optional offset). Values are anchored only on the last bar, ensuring no repainting for reliable signals. Features & Benefits ✅ No Repaint: Calculated once on the latest bar, eliminating future data bias. ✅ Offset Parameter: Skip recent bars to avoid incomplete candles or short-term noise. ✅ Clear Visualization: Distinct colors and line styles for each level (23.6%, 38.2%, 50%, 61.8%, 80.9%), with right-side labels showing percentages and exact prices. ✅ Accurate Start Point: The vertical dotted line and "Anchor Point" label exactly mark the first bar of the calculation window. ✅ Memory Efficient: Old drawings are automatically deleted to keep charts tidy. Input Parameters Lookback Period: Number of bars to search for high/low values. Offset Bars: Shift the calculation window backward from the current bar. Display Labels: Toggle percentage labels on/off. Use Cases Identify pullback supports in uptrends (38.2%, 50%, 61.8%) Spot rebound resistances in downtrends Combine with candlestick patterns, volume, or other indicators for higher accuracy Note This is a static tool; levels are shown only for the current period on the last bar. Historical periods are not retained when scrolling. Fibonacci levels are probabilistic—always confirm with market context.
Pine Script® インジケーター
william_wqの投稿
2
Absorption ReversalAbsorption Reversal detects institutional absorption patterns at the extremes of a trading range. When price reaches a range boundary, large limit orders from institutional players can "absorb" aggressive market orders — this creates a characteristic candle with high volume and a long rejection wick. The indicator identifies these setups and waits for confirmation before signaling a reversal. Free & Open Source — no invite-only access, no paywall. Full source code, fully transparent. ## The Concept: What Is Absorption? In order flow terms, absorption occurs when resting limit orders at a price level absorb incoming market orders without allowing price to break through. This is a core concept in Wyckoff analysis (Effort vs. Result) and institutional trading: - High volume (Effort) + small price movement / long wick (no Result) = absorption - The wick shows that price was pushed to the extreme but immediately rejected - This typically happens at range boundaries where institutional players defend levels The indicator automates this detection process with quantifiable rules. ## How It Works The signal generation follows a strict 6-step process: Step 1 — Range Detection: A Donchian Channel (highest high / lowest low) defines the current trading range boundaries. Step 2 — Range Width Filter: The channel width must be below its own average — confirming the market is sideways/contracting, not expanding into a trend. Step 3 — ADX Trend Filter: Wilder's ADX must be below the threshold (default 25) — no strong trend active. Absorption setups work best in range-bound markets. Step 4 — Proximity Check: Price must be in the upper or lower proximity zone of the range (default: outer 15%). Absorption in the middle of a range is meaningless. Step 5 — Absorption Bar: A candle that shows: - Volume spike (default 1.5x average — significant participation) - Long rejection wick (default 66% of candle range — strong rejection) - Located at the range extreme (within proximity zone) Step 6 — Confirmation: Within the next N bars (default 3), a follow-up candle must close back inside the range in the expected reversal direction. No confirmation = no signal. ## Chart Elements - Range Lines — Donchian Channel upper (red) and lower (green) boundaries - Proximity Zones — Optional shaded areas showing where absorption signals can trigger - Orange Diamonds — Absorption bars detected (before confirmation) - Green/Red Triangles + BUY/SELL Labels — Confirmed reversal signals only ## Dashboard The real-time dashboard displays: - Market Regime — Range or Trending (based on ADX + channel width) - ADX Value — Current trend strength with classification - Range Width — Contracting or Expanding - Position — Where price sits in the range (Near High / Near Low / Middle) - Volume — Current volume relative to average + spike detection - Pending — Active absorption bars awaiting confirmation (with countdown) ## Settings Range Detection: Donchian Channel Length (default 20), Proximity Zone % (default 15%) Trend Filter: ADX Filter ON/OFF (default ON), Range Width Filter ON/OFF (default ON) Absorption Criteria: Min Wick/Range Ratio (default 0.66), Volume SMA Length (default 20), Volume Spike Multiplier (default 1.5x) Confirmation: Max Confirmation Bars (default 3) ## Alerts 4 alert conditions: - Absorption Buy Signal — confirmed bullish reversal at range low - Absorption Sell Signal — confirmed bearish reversal at range high - Bullish Absorption Detected — absorption bar found, awaiting confirmation - Bearish Absorption Detected — absorption bar found, awaiting confirmation ## Best Used For - Identifying high-probability reversal setups at range boundaries - Spotting institutional absorption activity via volume + wick analysis - Range-trading strategies with clear entry signals - Confluence tool alongside other indicators - Works on all instruments: stocks, forex, crypto, futures, indices ## Technical Notes - Pine Script v6 (latest version) - Signals on confirmed bars only — no repainting - State-based confirmation logic - Open source, no external dependencies - All inputs have tooltips ## Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. No signals should be interpreted as buy or sell recommendations. Past performance is not indicative of future results. Always implement proper risk management. Trade at your own risk.
Pine Script® インジケーター
alphachart_tvの投稿
1
EdgeGate Liquidity State - Session Liquidity Tracker🟣 EdgeGate™ — Liquidity State™ “Liquidity has a state. Trade the active one.” EdgeGate™ — Liquidity State™ is a session-based liquidity tracker designed to keep your chart focused on what still matters. Unlike traditional session high/low indicators that permanently clutter your chart, this tool dynamically tracks only the latest active liquidity pools for: Asia London (AM Open) US (AM) Once liquidity is swept, levels transition according to your selected behavior. 🔥 Core Concept Markets rotate liquidity. When a session’s high or low is taken, its purpose is often fulfilled. EdgeGate™ reflects that by allowing liquidity to transition from: Active → Faded → Removed Your chart adapts as liquidity shifts — instead of accumulating outdated levels. ⚙️ Features 🕒 DST-Safe Session Tracking All sessions are based on America/New_York time, automatically adjusting for daylight savings. 🎯 Sweep Definition Control Choose how liquidity is considered “swept”: Wick — price trades through the level Close — candle must close beyond the level 🎛 After-Sweep Behavior Remove — delete levels immediately Fade — reduce intensity but keep visible Fade then Remove — fade first, remove based on rule 🔄 Removal Logic Any Side — one sweep removes Both Sides — wait for both high and low 🎨 Fade Scope Control Swept Side Only — only the taken side fades Both Lines — any sweep fades both 🧠 Smart Protection Optional guard to ignore sweeps on the same bar levels are drawn, preventing instant false removals. 📈 Designed For Liquidity-based traders ICT / SMC session traders Intraday futures and index traders Traders who want dynamic context instead of static clutter 🟣 About EdgeGate™ EdgeGate™ builds tools around one principle: Structure. Liquidity. Execution. We focus on developing precision-based session and liquidity frameworks designed for intraday traders who care about context, not clutter. This is Version 1.0.0 of the EdgeGate™ public toolkit — released free to the TradingView community. More session tools and execution-focused models coming soon. 🟣 Version EdgeGate™ — Liquidity State™ Version: 1.0.0 Release Type: Initial Public Release Status: Stable Build Philosophy: Active liquidity only Included in v1.0.0 Asia / London / US session tracking (DST-safe) Wick or Close sweep detection Fade / Remove / Fade-then-Remove logic Per-side fade control (High & Low independently) Configurable removal rules (Any Side / Both Sides) Active-session-only design 🟣 Release Standard (EdgeGate™ Framework) All EdgeGate™ public tools will follow a structured release format: Version number Release type (Major / Minor / Patch) Documented feature set Defined behavioral philosophy Transparent future roadmap 🆓 Open Source This script is released free and open-source for the community. You’re welcome to modify, improve, and build upon it respectfully. ⚠️ Disclaimer For educational purposes only. Not financial advice.
Pine Script® インジケーター
EdgeGateLabsの投稿
1
Support & Resistance Zones Strength Classifier [LuxAlgo]The Support & Resistance Zones Strength Classifier indicator is a technical tool designed to identify and visualize key market levels by grouping pivot points into dynamic zones that adapt to price action. It emphasizes zone "strength" by tracking the number of times a level is tested and automatically removes zones that have been breached by price. 🔶 USAGE This indicator identifies potential areas of supply and demand based on historical pivot highs and lows. Instead of displaying a single line for every pivot, it consolidates nearby price points into cohesive zones, making it easier to visualize significant levels of interest. 🔹 Strength Classification Zones are visually classified based on their "test count." A zone is created when a pivot is detected, and its count increases every time price returns to that area without breaking through it. Weak/New Zones: Displayed with higher transparency to indicate they have not yet been established as significant. Strong/Tested Zones: Displayed with higher opacity and a clear test count label (if enabled) to highlight levels where the market has historically reacted multiple times. 🔹 Dynamic Zone Management The tool actively manages the chart real-estate by: Merging: If two zones overlap, they are merged into a single, wider zone, and their test counts are combined. Breakout Deletion: If a candle close penetrates the boundary of a support (below) or resistance (above) zone, that zone is considered "broken" and is immediately removed from the chart. Resistance zones turn into potential support once broken (though this specific script focuses on current active boundaries). Support zones act as floors until a close below occurs. 🔶 DETAILS The script calculates zone thickness using a volatility-adjusted distance (average bar range). This ensures that zones on a high-volatility asset like Bitcoin are proportionally thicker than zones on a low-volatility asset like a stablecoin or a blue-chip stock. The "Pivot Lookback" setting determines the sensitivity of the detection. A higher lookback will identify major swing points but may ignore intraday fluctuations, while a lower lookback will create more frequent, smaller zones. 🔶 SETTINGS 🔹 Calculation Pivot Lookback: The number of bars required on each side of a high or low to confirm a pivot point. Zone Width (dist Multiplier): Multiplier applied to the average bar range to determine the vertical thickness of new zones. Minimum Tests to Highlight: The number of touches required before a zone is drawn with higher visibility/opacity. Max Active Zones Per Type: Limits the total number of support and resistance zones maintained on the chart to prevent clutter. Max Zone Height (dist Multiplier): A safety threshold that deletes zones if they become too wide due to excessive merging. 🔹 Visuals Support/Resistance Colors: Customizable colors for the bullish (support) and bearish (resistance) areas. Show Test Count Labels: Toggles the visibility of the numerical label showing how many times a zone was tested. Extend Zones to Right: Continues the zone boxes to the most recent bar on the chart.
Pine Script® インジケーター
LuxAlgoの投稿
3
Volume Profile S/R Zones (Peaks)Volume Profile S/R Zones (Peaks) is a volume-profile based support/resistance tool that converts significant volume nodes into tradable zones, then ranks them by how consistently price respected them over the selected lookback. The script builds a rolling Volume Profile over a user-defined window (default 81 days) using a fixed number of price bins (default 33 rows). For each price bin it accumulates: Total volume traded inside that price region Bullish volume (lower-timeframe bars that close above open) Bearish volume (implied as total − bullish) The profile is plotted on the left side of the chart. All profile elements and zones are intentionally forced to a single clean style: white at 20% opacity (labels keep the chart’s default text color styling). What it detects 1) High Volume Nodes (Peaks) The script scans the profile rows and detects local maxima (HVNs). To prevent noisy “micro peaks,” a peak must pass two quality filters: Relative-to-Max filter: peak volume must be at least a % of the largest node’s volume Prominence filter: peak volume must exceed the average of nearby nodes by a minimum ratio These filters remove weak nodes and keep only meaningful price areas where the market traded heavily. 2) Optional Low Volume Nodes (Troughs / LVNs) When enabled, the script also detects local minima (LVNs). LVNs can behave like “barrier” areas where price rejects or moves quickly through. Zones instead of lines Each detected node becomes a zone, not a single price line. Zone center = middle of the profile row Zone thickness is adaptive: Zone Half-Width = max(price bin size, ATR × fraction) This makes zones robust to volatility and reduces “false breaks” caused by small wicks. Zone merging (reduces clutter) Nodes close to each other are merged into a single zone if their centers are within: Merge Distance = ATR × fraction The merged zone center becomes volume-weighted, so stronger nodes dominate. Reliability scoring (the core feature) Every zone is scored by replaying price interaction over the lookback window: Events Touch: candle range intersects the zone Valid rejection: touch + close exits the zone in the expected direction Confirmed break: close outside the zone, confirmed by: distance beyond the zone (ATR-based), or a minimum number of consecutive closes outside Scoring Touch adds points Rejection adds more points Confirmed break subtracts points A decay factor is applied each bar so older interactions matter less than recent ones This produces a practical ranking: zones that get repeatedly respected score high; zones that fail score low. What you see on the chart Left-side Volume Profile (white 20% opacity) Top N strongest zones (ranked by score), drawn as horizontal bands across the chart Right-side price labels showing each zone’s center price Label tooltip includes: zone center price reliability score current “role” (support-side vs resistance-side) polarity bias (bull/bear/neutral based on volume delta) Inputs and how to tune Volume Profile Profile Lookback (Days): defines market memory (short = tactical, long = structural) Rows: resolution of price bins (higher = more detailed, lower = smoother) Profile Width: visual width of the profile histogram POC mode: optional regular or developing POC line Zones Top N Zones: limits clutter by plotting only the strongest zones ATR Length / Zone Half-Width: controls how wide zones are Prominence / Relative-to-Max: controls strictness of peak detection Merge Distance: merges nearby zones into one Scoring Touch / Rejection / Break points Decay factor (higher = longer memory) Break confirmation settings (ATR distance + consecutive closes) How to use (practical framework) This indicator is designed to treat volume nodes as acceptance/rejection areas, not perfect lines: Focus on high-score zones (they have the most recent evidence of being respected) Use zones as: potential accumulation/defense areas (support-side) potential supply/ceiling areas (resistance-side) Break confirmation is ATR-based to reduce false breakdowns/breakouts For investing, many users run two instances: long lookback (e.g., 252 days) for macro zones shorter lookback (e.g., 81 days) for tactical entries Notes / Limitations The script is a historical structure tool, not a predictor. Zones can shift gradually as the rolling lookback window updates. Different assets (high volatility vs low volatility) may require different row counts and filter strictness. License / Credits Based on LuxAlgo’s Volume Profile foundation and heavily modified to add zone construction, merging, and reliability scoring. Licensed under CC BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike).
Pine Script® インジケーター
MPRinvestの投稿
Mouchli Zone Projection ToolZone Projection Tool The Problem: Manually drawing zones is tedious. You have to identify the consolidation, measure the distance, find the 50% line, and then manually clone/stack boxes up and down the chart. If you switch assets or timeframes, you have to do it all over again. The Solution: This custom Pine Script automates the entire mathematical process. You simply define your two "Anchor Zones" (current support and resistance), and the script instantly builds the entire grid for you—perfectly spaced and optimized. Key Features: ⚡ Automated Stacking: Input your bottom zone and top zone. The script calculates the exact center, determines the "grid step," and automatically projects zones UP and DOWN the chart. 📊 Multi-Asset Manager: Save your levels for up to 5 different assets (e.g., QQQ, ES, NVDA, SPY, BTC) in one single indicator. The script is smart—it automatically detects which chart you are looking at and loads the correct levels instantly. 🗓️ Daily & Weekly Overlays: Input both Daily Zones (Purple) and Weekly Zones (Orange) for the same asset. You can view them simultaneously to see where short-term and long-term structures overlap. 🎛️ Toggle Controls: Includes "Show/Hide" checkboxes for every zone set. Want to focus only on the Daily levels? Uncheck the Weekly box, and they disappear instantly without deleting your data. 📍 The "Halfway" Line: Automatically calculates and draws the dashed 50% transition line between every zone, identifying the "no-man's-land" where price often pivots. How it works: Add the indicator to your chart. Open the Settings (gear icon). Select your Ticker (e.g., Asset 1 = QQQ). Enter your "Anchor" prices for Zone 1 (Support) and Zone 2 (Resistance). Set your Projection UP and Projection DOWN counts to determine how far the grid extends. The script will automatically draw the 50% lines and project the zones for you.
Pine Script® インジケーター
mouchlimuの投稿
Visual Trading ZonesVisual Trading Zones is a chart-based indicator designed to display clear and structured price zones using evenly spaced levels. The indicator automatically builds horizontal zones across the visible price range and helps traders visually identify potential areas of interest such as support, resistance, and reaction zones. Key Features Displays horizontal price zones with a fixed step Optional main levels and sub-levels inside each zone Clean and minimal visual presentation Works on any market and timeframe Fully customizable colors, line styles, and zone transparency No signals, no alerts — purely visual analysis tool How It Works Price zones are constructed using a user-defined step size. Each zone is visually highlighted, allowing traders to quickly see how price interacts with these areas over time. The indicator does not repaint and does not generate trading signals. It is intended to be used as a visual framework alongside any trading strategy. Recommended Use Identifying potential support and resistance zones Market structure and range analysis Confluence with price action, indicators, or volume tools ⚙️ Settings Overview Step — distance between price zones Step Unit — ticks or pips (for FX instruments) SubLevels — number of internal levels within each zone Show Zones / Lines / Prices — visual display options Range Bars — number of bars used to build zones Style Settings — colors, line styles, transparency
Pine Script® インジケーター
Benepammの投稿
Auction Weighted Support and Resistance [Metrify]This script builds an “auction-weighted” S/R map that’s intentionally closer to a microstructure proxy than a classic “draw pivots → draw lines” approach. The core idea: treat repeated interactions around the same price as evidence of auction behavior (acceptance vs rejection), then compress that behavior into a small set of ranked horizontal zones per horizon. Instead of outputting dozens of levels, it runs a selection pass to keep only the strongest, spatially distinct levels. Candidate discovery is pivot-driven, but not used naively. The script collects pivot highs/lows into rolling buffers for three horizons (Micro/Short/Medium) with different pivot lengths and memory caps. Those candidates don’t become “levels” directly; they’re just seeds that get clustered and rescored. Clustering is ATR-normalized (distance measured in ATR multiples), so the same logic doesn’t fall apart when you change symbol volatility or timeframe. Each horizon has its own clustering radius (distATR_micro/short/medium), which makes Micro more granular and Medium more tolerant. The “weight” you see is not a single metric. It’s a composite score that tries to approximate how meaningful a price is in an auction sense: Touch count (distinct): interactions are counted only when the candle range gets within a near-band threshold (ATR-normalized), and then gated by minimum bar separation so you don’t get spam from chop printing 20 touches in a row. (this is done with a stride-based loop to avoid blowing runtime on deep lookbacks) Acceptance: a rolling overlap rate of candle ranges inside the box. It’s exponentially weighted (half-life decay), so recent acceptance matters more, but older acceptance still contributes. If price has been “living” around that level, acceptance rises. Rejection quality: wick-aware rejection, but range-gated (not close-gated). The scoring looks at whether the candle range overlaps/approaches the level, then measures wick dominance on the rejecting side plus where the close sits inside the bar range. Age decay: older levels aren’t thrown away automatically, but they get downweighted via an exponential decay term so stale structure doesn’t dominate forever. Those components get combined by f_weightCompose() into a bounded weight using saturating transforms (so touches don’t scale linearly forever) and a decay factor tied to age. When multiple candidates land in the same cluster, the merge is done with a saturating union on weights (1 - (1-oldW)*(1-wAdd)) rather than simple addition, so weights don’t explode and a level can converge toward 1.0 without becoming meaningless. The cluster center price is updated via a weight-based average to prevent random drift from weak additions. After clustering, we does an explicit selection pass instead of drawing everything. First it filters by minScore, then sorts by weight, then applies a spatial suppression step (basically NMS for horizontal levels). The minimum spacing is ATR-based and incorporates both a horizon spacing floor and the zone thickness, so you don’t end up with two bands that overlap visually or convey the same information. On top of that, there’s a global cross-horizon collision gate (f_canDraw) so Medium zones can coexist with Short/Micro without the chart turning into a layered fog of rectangles. Visualization is intentionally “zone-first.” Each selected level becomes a box band whose half-thickness is ATR-scaled per horizon (bandThicknessATR_*). Opacity isn’t linear: it normalizes weight above minScore, applies a power curve to compress mid-range values, and also scales relative to the strongest level in that horizon (so you still get contrast when everything is “kind of strong”). The pressure overlay is not volume-based and not orderflow (pine can’t read L2), but it tries to expose short-term imbalance while price is inside a band. When the last price is inside a zone, it computes a pressure score from two parts: proximity to the center (closer = higher) and a directional imbalance proxy from recent returns sampled only on bars that intersect the band. It then draws two thin lines at the band edges with alpha proportional to that pressure score. This is meant as a “are we being pushed out or absorbed here” hint (not a prediction engine). If you enable the audit panel, the script builds a table listing the levels that actually got drawn (post-selection + collision filtering). The columns map directly to the internal metrics (weight, touches, acceptance, rejection), so you can sanity-check why a level exists. Level IDs are horizon-prefixed (MC/ST/MD) and assigned based on ranking within each horizon. note: rebuild is throttled (rebuildEveryN) and only runs on the last bar. Loops that can go deep use a stride heuristic (1/2/4) to keep runtime predictable on large lookbacks. Arrays are used as bounded buffers for candidate storage, and drawing objects are aggressively deleted/rebuilt to avoid object leaks.
Pine Script® インジケーター
Metrifyの投稿
Intraday Refuges/Shelters (RID)========================================== RID (INTRADAY SHELTERS/REFUGES) INDICATOR ========================================== *Fair warning: this may be more words than a humble, simple indicator truly needs… but Claude insisted. // ** INTRODUCTION ** // RID (Intraday Shelters/Refuges) is a lightweight, fast, and easy-to-implement indicator designed for monitoring price action on intraday timeframes — the same ones used by institutional operators to execute their trades within each market session. The indicator generates a framework of support and resistance levels automatically calculated from the asset's Daily Opening Price (D.O.P.). These levels are established using fixed percentages that have proven their effectiveness in institutional trading for decades, constituting "textbook" references widely adopted by market professionals. RID integrates as an optional module within our Weekly Shelters (RS) indicator, allowing the operator to simultaneously control their weekly positions and, when conditions warrant, move down to intraday operations without loading additional indicators or losing sight of the higher timeframe. // ** INDICATOR FUNDAMENTALS ** // The foundation of RID rests on a proven market principle: the daily opening price acts as a "psychological anchor" that influences participant behavior throughout the entire session. Why does this method work? • UNIVERSAL REFERENCE POINT: The daily opening price is objective data, visible to all market participants simultaneously. Institutions, algorithms, and retail traders use it as a common reference to calibrate their decisions. • STANDARD PERCENTAGE LEVELS: The percentages used (0.382%, 1.0%, 1.5%, 2.0%, 2.5% and extensions) are not arbitrary. They represent intraday volatility thresholds that have historically acted as inflection points across multiple asset classes. • SELF-FULFILLING PROPHECY EFFECT: When a critical mass of operators place orders at the same percentage levels —whether for profit-taking, protective stops, or entries— these levels become high-probability price reaction zones. • INSTITUTIONAL RISK MANAGEMENT: Institutional trading desks frequently define their daily loss limits and profit targets in percentage terms relative to the open. RID captures this logic and makes it visible for retail operators. The ±0.382% level deserves special mention: it's a derivation of the Fibonacci golden ratio (0.382) applied to the intraday context, representing the first significant movement threshold from the opening. // ** INDICATOR OBJECTIVES ** // 1) Facilitate manual intraday trade execution by providing a framework of target prices established under a scheme of mathematical certainty, eliminating subjectivity in defining entries, exits, and stops. 2) Serve as a lightweight and modular tool, easily integrable —either as an overlay or source code— with strategies and indicators specialized in intraday trade execution, both manual and automated. 3) Provide a visual reference framework that allows the operator to quickly assess the intraday market "temperature": Is price near a key support or resistance? Has it already reached the session's typical movement target? Is it time to seek entries or protect profits? // ** INDICATOR TECHNICAL FEATURES ** // • 21 CONFIGURABLE LEVELS: 11 main levels (±0.382%, ±1.0%, ±1.5%, ±2.0%, ±2.5% and D.O.P.) plus 10 extended levels (±3.0% to ±5.0%) for high volatility sessions. Each level can be individually enabled or disabled according to operator needs. • AUTOMATIC D.O.P. DETECTION: The indicator automatically identifies the start of each daily session and captures the opening price without user intervention. • CONFIGURABLE HISTORY LIMIT: Option to limit processing to the last N days (default: 3), optimizing performance on very low timeframes (1m, 5m) where excess historical data can slow down the chart. • PROFESSIONAL VISUALIZATION: Labels with formatted price (thousands separators) and percentage, placeable with configurable offset. The D.O.P. level (0%) is highlighted with differentiated width. • VERTICAL REFERENCE LINES: From D.O.P. to each level, facilitating visualization of the percentage distance traveled. • FULL CUSTOMIZATION: Colors, widths, line styles (solid, dashed, dotted), label opacity, and forward extension fully adjustable. • PRICE SCALE INTEGRATION: Levels can be displayed on the right margin of TradingView, controllable from the indicator's Style tab. • BAR REPLAY COMPATIBILITY: Works perfectly with Bar Replay for back-testing intraday strategies. • OPTIMIZED PERFORMANCE: Efficient architecture with persistent arrays and intelligent updating, suitable for timeframes down to 1 minute. // ** OPERATING INSTRUCTIONS ** // INITIAL SETUP: 1) Load the indicator on a chart with 4H or lower timeframe (1H, 30m, 15m, 5m, 1m). 2) Enable "Limit history by days" and adjust "Maximum days to display" according to your needs: • For scalping (1m-5m): 1-2 days • For day trading (15m-1H): 2-3 days • For intraday swing (4H): 3-5 days OPERATIONAL USE: 3) Identify the D.O.P. (0% line): This is your central reference point for the session. 4) Observe current price position relative to levels: • Price above D.O.P. → Session with bullish bias • Price below D.O.P. → Session with bearish bias 5) Use levels as: • ENTRIES: Look for reversal signals when price reaches S1-S5 (buys) or R1-R5 (sells) • TARGETS: Set take-profits at the next resistance level (longs) or support (shorts) • STOPS: Place protective stops beyond the immediate opposite level PRACTICAL RULES: 6) The ±1.0% and ±2.0% levels are historically most respected; prioritize them. 7) If price exceeds ±2.5% from open, it might be time to take profits and close your position or consider enabling extended levels (±3.0% to ±5.0%). 8) High volatility days (news, earnings): wait for price to respect at least one level before trading in its direction. 9) Combine RID with other indicators from our ecosystem (RS, RMP, RLP/RLPS) to confirm level confluence across multiple timeframes. VISUAL OPTIMIZATION: 10) For clean charts: keep enabled only main levels (±0.382% to ±2.5%). 11) For detailed volatile asset analysis: also enable extended levels. 12) Adjust "Label margin" to prevent overlap with current price. // ** INTEGRATION WITH OTHER SHELTER VALUE INDICATORS ** // RID is part of a complete shelter-based analysis ecosystem we have developed: • RLP (Long-Term Shelters): For automatic determination of the preponderant phase of a Zigzag, which institutional investors choose as the base of a Fibo whose levels calculate order placement projection over the following months and years. • RLPS (Simplified Long-Term Shelters): Simplified version of RLP where known coordinates of the preponderant phase are captured, obtained through own analysis or automatically with the RLP indicator. • RMP (Medium-Term Shelters): Provides psychological shelter and resistance levels that institutional investors establish at the beginning of each year. They constitute the main framework used by professionals to plan operations throughout the year. • RS (Weekly Shelters): For short-term tactical analysis (4H, 1H) based on selected phases of one or two Zigzags that define Fibo tracing, over recent major and minor degree pauses, whose levels take effect during the current and following weeks. • RID (Intraday Shelters): This indicator. For intraday operations based on levels calculated from daily opening price, designed for 4H or lower timeframes, including scalping strategies. By combining RID with RLP/RLPS, RMP and RS, a multilevel scaffolding is built that allows trading with clarity on any time horizon, from minute positions to operations projected over months and years. // ** NOTES ** // • All comments regarding detected errors and improvement suggestions are welcome and deeply appreciated. Your feedback helps us refine these tools. • To our Hispanic speaking friends, we sincerely regret to inform you that we have not included the Spanish translation in the published version, due to our latent concern regarding the ambiguous rules about prohibitions on publishing indicators documented or described in languages other than English. • Sharing is motivating because there’s no better way to receive genuine feedback of real acceptance. • RECOMMENDED VALIDATION METHOD: Use TradingView's Bar Replay to verify, session by session, how price of your favorite asset interacts with RID levels. This personal validation will give you statistical confidence before incorporating the indicator into your actual trading. Happy hunting in this magnificent jungle!
Pine Script® インジケーター
Masewal_aj_p_oolomの投稿
RLPS -Simplified Long-Term Support/Resistance Levels (Shelters)// Introduction // RLPS (Simplified Long-Term Shelters) is a streamlined indicator designed for traders who have already identified the preponderant long-term phase of their assets and want to efficiently track multiple assets using pre-calculated Fibonacci levels. IMPORTANT: Before using this indicator, you need to have determined the date-price coordinates of the preponderant phase (i0→i1 pivots) for your asset(s). These coordinates can be obtained using our master RLP indicator (Long-Term Shelters), which automatically helps to calculates them, or through your own research and analysis. // Theoretical Foundation // Many traditional institutional investors use the latest higher-degree market phase that stands out from others (longest duration and greatest price change on daily timeframe) to base a Fibonacci retracement on whose levels they open long-term positions. These positions can remain open to be activated in the future even years in advance. The phase is considered valid until a new, more preponderant phase develops over time. RLPS allows you to manually input these pre-identified phase coordinates and draw Fibonacci levels that serve as Long-Term Shelter Levels—marking future trading points (entries, exits, risk management) that remain valid for months and even years. // Key Features // • Supports up to 5 different assets with permanently stored phase coordinates • Dropdown selector to quickly switch between configured assets • No ZigZag calculation required—user provides pre-calculated coordinates • Timeframe-agnostic: levels remain constant across all timeframes • Works with any price source (exchange) regardless of historical data availability • Asset Information table with visual validation (✅ Match / ❌ No Match) • Long-Term Historical Prices (LTHP): add up to 5 psychological price levels per asset (historical highs/lows, annual opening prices, etc.) • Customizable Fibonacci levels, colors, styles, and label formatting • Logarithmic scale support for volatile assets like cryptocurrencies // Quick Start Guide // STEP 1: In TradingView, select "Bitcoin / U.S. dollar" from Bitstamp Exchange (BITSTAMP:BTCUSD). STEP 2: Configure the chart to Daily (D) timeframe. STEP 3: Load the RLPS indicator. Initially no drawing appears (fields are empty by default). STEP 4: Open indicator settings and activate "Practice Asset Data Table" in the GENERAL section. STEP 5: A table appears with sample data for 5 assets. Locate "Bitcoin on Bitstamp": - i0 Date: 2020-03-13 18:00 | i0 Price: 3850.0 - i1 Date: 2021-11-10 18:00 | i1 Price: 69000.0 STEP 6: Copy this data to "ASSET 1 - IDENTIFICATION AND DATE-PRICE PIVOT COORDINATES". STEP 7: Verify "Asset 1" is selected in the dropdown and close settings. STEP 8: You should now see the yellow diagonal phase line, horizontal Fibonacci levels, and the validation table showing "✅ Match". STEP 9: Navigate the chart to verify how Fibonacci levels align with historical support/resistance zones. // Important Notes // • The sample data in the Practice Table was validated in 02/2026 and serves as reference only. • It is your responsibility to validate or update the preponderant phase of your assets over time. • Use our master RLP indicator to automatically find and calculate preponderant phases, then transfer the coordinates here for permanent tracking. • You can deactivate the Practice Table once you've copied the data you need. // Shelter Indicators Ecosystem // RLPS is part of a comprehensive ecosystem of indicators for price action analysis based on shelter levels: RLPS (Simplified Long-Term Shelters): This indicator. Simplified version of RLP that allows manual input of previously identified preponderant phase coordinates. Ideal for permanent operations with multiple assets across different timeframes. RLP (Long-Term Shelters): Automatically identifies the preponderant Zigzag phase that institutional investors use as a reference to project Fibonacci levels. These levels determine order placement over the following months and years. RMP (Mid-Term Shelters): Provides the psychological shelter and resistance levels that institutional investors establish at the beginning of each year. These form the main framework that professionals use to plan entry and exit operations throughout the year. RS (Weekly Shelters): Tactical structural analysis indicator designed to precisely track price action and manage positions during current weeks. RID (Intra-Day Shelters): For intraday operations based on levels calculated from the daily opening price. Designed for 1H timeframes or lower, including scalping strategies. By combining RLPS, RLP, RMP, RS, and RID, you obtain a multi-timeframe framework that provides certainty and clarity to apply strategies grounded in price action, across any time horizon: from scalping to long-term investments. // Final Notes // We sincerely regret to inform you that we have not included the Spanish translation previously provided in our indicators, due to our significant concern regarding the ambiguous rules on publication bans related to indicators. Sharing motivates. Happy hunting in this great jungle!
Pine Script® インジケーター
Masewal_aj_p_oolomの投稿
Dynamic Support & Resistance V6The Dynamic Support & Resistance V6 is a lightweight, high-performance indicator designed to automatically identify and plot key market levels based on pivot price action. Instead of static lines, this script uses a dynamic array-based system. It tracks the most recent significant levels where price is likely to react. The script utilizes the ta.pivothigh and ta.pivotlow functions to detect structural turning points. Once a pivot is confirmed (based on your chosen lookback period). Draws an Extended Level: A line is projected from the pivot point to the current bar. Dynamic Management: It uses a FIFO (First-In-First-Out) logic to ensure only the most relevant maxLevels are displayed on your chart, keeping your workspace clean. Real-time Updates: Lines and labels automatically shift with each new bar to maintain a constant "right-edge" perspective. Key Features Customizable Pivot Lookback: Adjust the sensitivity to find minor intraday levels or major swing levels. Visual Price Labels: Optional price tags for quick reference on key zones. Support/Resistance Differentiation: Color-coded levels (defaulting to Green for Support and Red for Resistance). Optimized for Version 6: Built using the latest Pine Script™ v6 standards for better performance. How to Use Look for candles closing beyond the Resistance (Red) or Support (Green) lines. Use these levels as potential zones for "fakeouts" or rejections in confluence with your other entry triggers. Excellent for identifying logical Take Profit (TP) or Stop Loss (SL) zones based on recent market structure.
Pine Script® インジケーター
gradsgoldの投稿
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