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Trade Setup A+ [v.8 Fixed Lines]🚀 Trade Setup A+ : Liquidity Hunter System (XAUUSD) This indicator is an "All-in-One" trading system designed specifically for XAUUSD (Gold) Scalping and Swing trading. It combines Smart Money Concepts (SMC) with Price Action to identify high-probability setups by tracking liquidity pools and institutional order blocks. 💎 Key Features (v.8 Updated): Auto Order Blocks (Clean View): Automatically detects and draws Bullish (Green) and Bearish (Red) Order Blocks based on swing points. Clean Look: Limits display to the last 5 active zones to keep the chart clutter-free. Liquidity Levels (Fixed Lines): D-High / D-Low: Thin lines representing Previous Day’s High & Low. W-High / W-Low: Thick lines representing Previous Week’s High & Low (Strong Support/Resistance). Dual Entry Signals: Method 1 (Sniper): Shows a Diamond Icon (💎) when price touches an Order Block zone (Reversal setup). Method 2 (Follow): Shows a Triangle Arrow (🔼/🔽) when price crosses EMA 14 with trend confirmation from EMA 49. Macro Time Zones: Highlights high-volume trading sessions (Asia, London, NY) on the background to identify "Killzones". 📈 How to Trade: BUY Signal: Look for a Green Diamond (Touch OB) or Green Triangle (Price > EMA 14 & 49). SELL Signal: Look for a Red Diamond (Touch OB) or Orange Triangle (Price < EMA 14). Best Time: Trade when signals align with highlighted Macro Time zones. ⚠️ Disclaimer: This tool is for educational purposes only. Always use proper risk management. 🚀 Trade Setup A+ : ระบบเทรดล่าสภาพคล่อง (สำหรับทองคำ) อินดิเคเตอร์ชุดนี้ออกแบบมาเพื่อเทรด XAUUSD (ทองคำ) โดยเฉพาะ ผสมผสานเทคนิค SMC (Smart Money Concepts) และ Price Action เพื่อหาจุดเข้าที่มีความแม่นยำสูง (High Probability) โดยเน้นการดักจับสภาพคล่องของรายใหญ่ค่ะ 💎 ฟีเจอร์หลัก (อัปเดตล่าสุด v.8): Auto Order Blocks (แบบคลีน): สร้างกล่องโซนซื้อขาย (Supply/Demand) ให้อัตโนมัติ (สีเขียว = โซน Buy, สีแดง = โซน Sell) Clean Look: ระบบจะโชว์เฉพาะ 5 กล่องล่าสุดเท่านั้น เพื่อไม่ให้กราฟรกสายตา Liquidity Levels (เส้นแนวรับต้าน): D-High / D-Low: เส้นบาง แสดงราคาสูงสุด/ต่ำสุดของ "เมื่อวาน" (Day) W-High / W-Low: เส้นหนา แสดงราคาสูงสุด/ต่ำสุดของ "สัปดาห์ที่แล้ว" (Week) ซึ่งเป็นแนวรับต้านที่แข็งแกร่ง สัญญาณเข้าเทรด 2 แบบ (Dual Signals): วิธีที่ 1 (Sniper): แสดงรูป เพชร (💎) เมื่อราคาวิ่งชนขอบกล่อง Order Block (ดักจุดกลับตัวปลายไส้) วิธีที่ 2 (Follow Trend): แสดงรูป ลูกศรสามเหลี่ยม (🔼/🔽) เมื่อราคาตัดเส้น EMA ตามเงื่อนไข (Buy ต้องยืนเหนือ EMA 14 และ 49) Macro Time (ช่วงเวลาทำเงิน): ระบายสีพื้นหลังบอกช่วงเวลาที่ตลาดวิ่งแรง (Asia, London, NY) เพื่อให้โฟกัสถูกจุด 📈 วิธีใช้งาน: ขา BUY: รอสัญญาณ เพชรสีเขียว (ชนกล่องรับ) หรือ ลูกศรเขียว (ตามเทรนด์) ขา SELL: รอสัญญาณ เพชรสีแดง (ชนกล่องต้าน) หรือ ลูกศรส้ม (ตามเทรนด์) คำแนะนำ: ประสิทธิภาพสูงสุดเมื่อสัญญาณเกิดในช่วงเวลา Macro Time (แถบสีพื้นหลัง)
Pine Script® インジケーター
BuntitaPrommolmasの投稿
Delta Zones Smart Money Concept (SMC) UT Trend Reversal Mul.Sig.🚀 What's New in This Version (V5 Update) This version is a major overhaul focused on improving trade entry timing and risk management through enhanced UT Bot functionality: Integrated UT Trailing Stop (ATR-based): The primary trend filter and moving stop-loss mechanism is now fully integrated. Pre-Warning Line: A revolutionary feature that alerts traders when the price penetrates a specific percentage distance (customizable) from the UT Trailing Stop before the main reversal signal fires. "Ready" Signal: Plots a "Ready" warning label on the chart and triggers an alert condition (UT Ready Long/Short) for pre-emptive trade preparation. V5 Compatibility: All code has been optimized for Pine Script version 5, utilizing the modern array and type structures for efficient Order Block and Breaker Block detection. 💡 How to Use This Indicator This indicator works best when confirming signals across different components: 1. Identify the Trend Bias (UT Trailing Stop) Uptrend: UT Trailing Stop line is Green (Focus only on Buy/Long opportunities). Downtrend: UT Trailing Stop line is Red (Focus only on Sell/Short opportunities). 2. Prepare for Entry (Warning Line) Action: When you see the "Ready" label or the price hits the Pre-Warning Line (Dotted Orange Line), this is your alert to prepare for a trend flip, or to tighten the stop on your current trade. 3. Confirm the Entry (Multi-Signals) Look for a primary entry signal that aligns with the desired trend: High-Conviction Entry: Wait for the UT Buy/Sell label (confirmed trend flip) AND a Combined Buy/Sell arrow (confirmed by your selected Oscillator settings). High-Liquidity Entry: Look for a Delta Zone Box forming near an active Order Block or Breaker Block (SMC zones), and then confirm with a UT or Combined Signal. 4. Manage Risk (Trailing Stop) Always set your initial Stop Loss (SL) either just outside the opposite Order Block or at the UT Trailing Stop level itself. If the price closes back across the UT Trailing Stop, exit your position immediately, as the trend bias has officially shifted. Features & Components 1. Delta Zones (Liquidity/Wick Pressure) Identifies periods of extreme buying or selling pressure based on wick-to-body ratios and standard deviation analysis. Plots colored pressure boxes (Buy/Sell) to highlight potential exhaustion points or institutional activity. 2. Smart Money Concepts (SMC) Automatically detects and plots Order Blocks (OBs) and Breaker Blocks (BBs) based on confirmed Market Structure Breaks (MSBs). Includes Chop Control logic to remove less reliable Breaker Blocks. 3. UT Bot Trailing Stop & Warning Line UT Trailing Stop (ATR-based): Plots a dynamic trend line (Green/Red) that acts as a moving stop-loss and primary trend filter. Ready/Warning Signals: Alerts traders (via the "Ready" label and orange lines) when the price enters a "Pre-Reversal Zone" near the Trailing Stop. 4. Multi-Indicator Confirmation (Filters) Includes customizable signals based on the crossover/crossunder of RSI, CCI, and Stochastic indicators against configurable Overbought/Oversold levels. Allows selection of combination signals (e.g., RSI & CCI, All Combined, etc.) for high-conviction entries.
Pine Script® インジケーター
angkoon4763の投稿
1
Smart Money Setup 06 [TradingFinder] Liquidity Sweeps + OB Swing🔵 Introduction Smart Money, managed by large investors, injects significant capital into financial markets by entering real capital markets. Capital entering the market by this group of individuals is called smart money. Traders can profit from financial markets by following such individuals. Therefore, smart money can be considered one of the effective methods for analyzing financial markets. Sometimes, before a market movement, fluctuation movements that create price movement cause many traders' "Stop Loss" to be triggered. These movements are created in various patterns. One of these patterns is similar to an "Expanding Triangle", which touches the stop loss of individuals who have placed their stop loss in the cash area in the form of 5 consecutive openings. To better understand this setup, pay attention to the images below. Bullish Setup Details : Bearish Setup Details : 🔵 How to Use After adding the indicator to the chart, wait for trading opportunities to appear. By changing the "Time Frame" and "Pivot Period", you can see different trading positions. In general, the smaller the "Time Frame" and "Pivot Period", the more likely trading opportunities will appear. Bullish Setup Details on Chart : Bearish Setup Details on Chart : 🔵 Settings You have access to "Pivot Period", "Order Block Refine", and "Refine Mode" through settings. By changing the "Pivot Period", you can change the range of zigzag that identifies the setup. Through "Order Block Refine", you can specify whether you want to refine the width of the order blocks or not. It is set to "On" by default. Through "Refine Mode", you can specify how to improve order blocks. If you are "risk-averse", you should set it to "Defensive" mode because in this mode, the width of the order blocks decreases, the number of your trades decreases, and the "reward-to-risk ratio "increases. If you are on the opposite side and are "risk-taker", you can set it to "Aggressive" mode. In this mode, the width of the order blocks increases, and the likelihood of losing positions decreases.
Pine Script® インジケーター
TFlabの投稿
8
Alert Sender Library [TradingFinder]Library "AlertSenderLibrary_TradingFinder" 🔵 Introduction The "Alert Sender Library" is a management and production program for "Alert Messages" that enables the creation of unique messages for any type of signal generated by indicators or strategies. These messages include the direction of the signal, symbol, time frame, the date and time the condition was triggered, prices related to the signal, and a personal message from you. To make better and more optimal use of this "library", you should carefully study " Key Features" and "How to Use". 🔵 Key Features Automatic Detection of Appropriate Type : Using two parameters, "AlertType" and "DetectionType", which you must enter at the beginning into the "AlertSender" function, the type of the alert message is determined. For example, if you select one of the "DetectionType"s such as "Order Block Signal", "Signal", and "Setup", your alert type will be chosen based on "Long" and "Short". Whether it's "Long" or "Short" depends on the "AlertType" you have set to either "Bullish" or "Bearish". Automatic Symbol Detection : Whenever you add an alert for a specific symbol, if you want the name of that symbol to be in your message text, you must manually write the name of the symbol in your message. One of the capabilities of the "Alert Sender" is the automatic detection of the symbol and adding it to the message text. Automatic Time Frame Detection : When adding your alert, the "Alert Sender" detects the time frame of the symbol you intend to add the alert for and adds it to the text. This feature is very practical and can prevent traders from making mistakes. For example, a trader might add alerts for a specific symbol using a specific indicator in different time frames, taking the main signal in the 1-hour time frame and only a confirmation signal in the 15-minute time frame. This feature helps to identify in which time frame the signal is set. Detection of Date and Time When the Signal is Triggered : You can have the date and time at the moment the message is sent. This feature has various uses. For example, if you use the Webhook URL feature to send messages to a Telegram channel, there might be issues with alert delivery on your server, causing delays, and you might receive the message when it has lost its validity. With this feature, you can match the sending time of the message from TradingView with the receipt time in your messenger and detect if there is a delay in message delivery. Important : You can also set the Time Zone you wish to receive the date and time based on. Display of "Key Prices" : Key prices can vary based on the type of signals. For example, when the "DetectionType" is in "Order Block Signal" mode, the key prices are the "Distal" and "Proximal" prices. Or if the "DetectionType" is in "Setup" mode, the key prices are "Entry", "Stop Loss", and "Take Profit". Receipt of Personal "Messages" : You can enter your personal message using "input.string" or "input.text_area" in addition to the messages that are automatically created. Beautiful and Functional Display of Messages : The titles of messages sent by "AlertSender" are displayed using related emojis to prevent mistakes due to visual errors, enhancing beauty. 🔵 How to Use 🟣 Familiarity with Function and Parameters AlertSender(Condition, Alert, AlertName, AlertType, DetectionType, SetupData, Frequency, UTC, MoreInfo, Message, o, h, l, c, Entry, TP, SL, Distal, Proximal)  Parameters:   - Condition (bool)   - Alert (string)   - AlertName (string)   - AlertType (string)   - DetectionType (string)   - SetupData (string)   - Frequency (string)   - UTC (string)   - MoreInfo (string)   - Message (string)   - o (float)   - h (float)   - l (float)   - c (float)   - Entry (float)   - TP (float)   - SL (float)   - Distal (float)   - Proximal (float) To add "Alert Sender Library", you must first add the following code to your script. import TFlab/AlertSenderLibrary_TradingFinder/1 🟣 Parameters "Condition" : This parameter is a Boolean. You need to set it based on the condition that, when met (or fired), you want to receive an alert. The output should be either "true" or "false". "Alert" : This parameter accepts one of two inputs, "On" or "Off". If set to "On", the alarm is active; if "Off", the alarm is deactivated. This input is useful when you have numerous alerts in an indicator or strategy and need to activate only a few of them. "Alert" is a string parameter. Alert = input.string('On', 'Alert', , 'If you turn on the Alert, you can receive alerts and notifications after setting the "Alert".', group = 'Alert') "AlertName" : This is a string parameter where you can enter the name you choose for your alert. AlertName = input.string('Order Blocks Finder ', 'Alert Name', group = 'Alert') "AlertType" : The inputs for this parameter are "Bullish" or "Bearish". If the condition selected in the "Condition" parameter is of a bullish bias, you should set this parameter to "Bullish", and if the condition is of a bearish bias, it should be set to "Bearish". "AlertType" is a string parameter. "DetectionType" : This parameter's predefined inputs include "Order Block Signal", "Signal", "Setup", and "Analysis". You may provide other inputs, but some functionalities, like "Key Price", might be lost. "DetectionType" is a string parameter. "SetupData" : If "DetectionType" is set to "Setup", you must specify "SetupData" as either "Basic" or "Full". In "Basic" mode, only the "Entry" price needs to be defined in the function, and "TP" (Take Profit) and "SL" (Stop Loss) can be any number or NA. In "Full" mode, you need to define "Entry", "SL", and "TP". "Setup" is a string parameter. "Frequency" : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar". Frequency = input.string('Once Per Bar', 'Message Frequency', , 'The triggering frequency. Possible values are: All (all function calls trigger the alert), Once Per Bar (the first function call during the bar triggers the alert), Per Bar Close (the function call triggers the alert only when it occurs during the last script iteration of the real-time bar, when it closes). The default is alert.freq_once_per_bar.', group = 'Alert') "UTC" : With this parameter, you can set the Time Zone for the date and time of the alert's dispatch. "UTC" is a string parameter and can be set as "UTC-4", "UTC+1", "UTC+9", or any other Time Zone. UTC = input.string('UTC', 'Show Alert time by Time Zone', group = 'Alert') "MoreInfo" : This parameter can take one of two inputs, "On" or "Off", which are strings. Additional information, including "Time" and "Key Price", is included. If set to "On", this information is received; if "Off", it is not displayed in the sent message. MoreInfo = input.string('On', 'Display More Info', , group = 'Alert') "Message" : This parameter captures the user's personal message through an input and displays it at the end of the sent message. It is a string input. MessageBull = input.text_area('Long Position', 'Long Signal Message', group = 'Alert') MessageBear = input.text_area('Short Position', 'Short Signal Message', group = 'Alert') "o" (Open Price): A floating-point number representing the opening price of the candle. This input is necessary when the "DetectionType" is set to "Signal". Otherwise, it can be any number or "na". "h" (High Price): A float variable for the highest price of the candle. Required when "DetectionType" is "Signal"; in other cases, any number or "na" is acceptable. "l" (Low Price): A float representing the lowest price of the candle. This field must be filled if "DetectionType" is "Signal". If not, it can be any number or "na". "c" (Close Price): A floating-point variable indicating the closing price of the candle. Needed for "Signal" type detections; otherwise, it can take any value or "na". "Entry" : A float variable indicating the entry price into a trading setup. This is relevant when "DetectionType" is in "Setup" mode. In other scenarios, it can be any number or "na". It denotes the price at which the trade setup is entered. "TP" (Take Profit): A float that is necessary when "DetectionType" is "Setup" and "SetupData" is "Full". Otherwise, it can be any number or "na". It signifies the price target for taking profits in a trading setup. "SL" (Stop Loss): A float required when "DetectionType" is "Setup" and "SetupData" is "Full". It can be any number or "na" in other cases. This value represents the price at which a stop loss is set to limit losses. "Distal" : A float important for "Order Block Signal" detection. It can be any number or "na" if not in use. This variable indicates the price reaching the distal line of an order block. "Proximal" : A float needed for "Order Block Signal" detection mode. It can take any value or "na" otherwise. It marks the price reaching the proximal line of an order block.
Pine Script® ライブラリ
TFlabの投稿
Smart Money Setup 04 [TradingFinder] Three Drive (Harmonic) + OB🔵 Introduction The "Three Drive" pattern is a well-known formation in technical analysis, recognized for its ability to signal potential trend reversals in price action. Within the realm of trading, particularly in the context of "Reversal Patterns," the Three Drive pattern holds significance as a reliable indicator of shifts in market sentiment. 🟣 Bullish 3 Drive This pattern typically manifests at a price bottom, where a sequence of lower lows suggests a prevailing negative trend. However, within the structure of the Three Drive pattern, a notable occurrence unfolds. The second low breaches the range of the first low, followed by the third low surpassing the range of the second low. These penetrations signify a diminishing selling pressure and an emerging buying interest. Traders often await the confirmation of the third low surpassing the second low as an entry point, with price targets set at the highs formed within the Three Drive pattern. 🟣 Bearish 3 Drive Conversely, the Bearish Three Drive pattern emerges at a price top, characterized by a sequence of higher highs indicating an upward trend. Yet, amidst this apparent bullish momentum, a shift occurs. The second high breaks beyond the range of the first high, succeeded by the third high exceeding the range of the second high. These breaches signify a waning buying strength and a resurgence in selling pressure. Entry into a trade is often executed after the confirmation of the third high surpassing the second high, with targets set at the lows formed within the Three Drive pattern. Importance : Understanding the Three Drive pattern's significance extends beyond mere technical analysis. It bears resemblance to other established patterns, such as the Harmonic Pattern and Ending Diagonal within the Elliott Wave Theory. Recognizing these parallels aids traders in comprehending broader market dynamics and potential price movements. 🔵 Formation of 3 Drive in Order Block Zone The convergence of the Three Drive pattern with the concept of the Order Block Zone introduces a nuanced layer to traders' analytical approach. In "Price Action" methodology, Order Blocks represent areas on the price chart where significant market players, such as institutional traders, have executed notable orders. These zones often act as barriers, with price encountering resistance or support upon reaching them. When the Three Drive pattern forms within an Order Block Zone, it signifies a confluence of market dynamics. The completion of the pattern within this zone suggests a potential reversal in the prevailing trend, augmented by the presence of significant institutional orders. Traders incorporate these Order Blocks into their analysis to identify probable levels where price may change direction, enhancing the reliability of their trading decisions. 🔵 How to Use : To effectively utilize the Three Drive pattern within the Order Block Zone, traders seek alignment between the completion of the pattern and the presence of significant Order Blocks. This convergence enhances the reliability of the pattern's signals, increasing the likelihood of successful trade outcomes. Bullish Three Drive in Demand Zone : Bearish Three Drive in Supply Zone : Settings : You can set your desired "Pivot Period" via settings for the indicator to identify setups based on it.
Pine Script® インジケーター
TFlabの投稿
23
SMC Academy [PhenLabs]📊 SMC Academy Version: PineScript™ v6 📌 Description The SMC Academy indicator is a comprehensive educational tool designed to demystify Smart Money Concepts (SMC) for traders of all levels. Unlike standard indicators that simply print signals, this script uses a “Learning Phase” system that allows users to toggle between individual concepts—such as Market Structure, Liquidity, Imbalances, and Order Blocks—or view them all simultaneously. It lets you focus on one piece of the puzzle at a time. 🚀 Points of Innovation Progressive Learning Modes: Toggle between 5 distinct phases to master concepts individually before using the Full Strategy Mode. Educational Tooltips: Hover over labels to read detailed explanations of why a BOS, MSS, or Liquidity zone was identified. Smart Filtering: Uses ATR and Volume integration to filter out low-quality Fair Value Gaps and weak Order Blocks. HTF Dashboard: A built-in panel analyzes Higher Timeframe (4H) data to ensure you are trading in alignment with the broader trend. 🔧 Core Components Market Structure Engine: Automatically detects Swing Highs and Lows to map out market direction using configurable swing lengths. Liquidity Manager: Identifies unmitigated swing points that serve as Buy-Side (BSL) and Sell-Side (SSL) liquidity magnets. Imbalance Detector: Highlights Fair Value Gaps (FVG) where price inefficiencies exist, using ATR thresholds to ignore noise. Order Block Identifier: Locates the specific candles responsible for structure breaks, validated by volume analysis. 🔥 Key Features Break of Structure (BOS): Automatically marks trend continuation signals with solid lines and color-coded labels. Market Structure Shift (MSS): Identifies potential trend reversals when significant swing points are breached. Dashboard Context: Displays the current trend direction and the 4H context directly on your chart. Custom Alerts: Built-in alert conditions for structure breaks and new Order Blocks allow for automated tracking. 🎨 Visualization Structure Lines: Solid lines indicate confirmed breaks (Green for Bullish, Red for Bearish). Liquidity Zones: Dotted lines extending rightward indicate resting liquidity levels that price may target. FVG Boxes: Shaded boxes highlight imbalance zones, automatically extending for a user-defined number of bars. Dashboard: A clean, non-intrusive table in the top-right corner displays trend status and active mode. 📖 Usage Guidelines Setting Categories Learning Mode: Select from ‘1. Market Structure’ through ‘5. Full Strategy Mode’ to filter what appears on the chart. Swing Detection Length: Default (5). Determines the sensitivity of the swing high/low detection. Structure Break Type: Options (Close/Wick). Choose whether a candle close or just a wick is required to confirm a break. Min FVG Size: Default (0.5 ATR). Filters out gaps smaller than this multiplier to reduce noise. Filter Weak OBs by Volume: Default (True). Only highlights Order Blocks where volume exceeds the 20-period average. ✅ Best Use Cases Educational Study: Isolate “Phase 1: Market Structure” to practice identifying trend changes without distraction. Trend Following: Use “Phase 3: Imbalances” to find entry points within an established trend. Reversal Trading: Combine “Phase 2: Liquidity” and “Phase 4: Order Blocks” to catch reversals at key levels. ⚠️ Limitations Subjectivity: Market structure can be interpreted differently depending on the swing length settings used. Ranging Markets: Like all trend-following concepts, false BOS/MSS signals may generate during choppy, sideways price action. Repainting: While the signals are non-repainting once confirmed, the live candle may flash a signal before the close if “Close” mode is selected. 💡 What Makes This Unique Interactive Learning: The inclusion of tooltip explanations transforms this from a simple tool into an active mentor. Phase-Based Workflow: The ability to strip the chart back to basics at the click of a button is unique to the PhenLabs ecosystem. 🔬 How It Works Swing Analysis: The script calculates pivot highs and lows based on your length input to define the structural landscape. Break Validation: It checks if price crosses these pivot points to trigger BOS (Continuation) or MSS (Reversal) logic. Volume Confirmation: For Order Blocks, it looks back inside the swing leg to find the specific candle responsible for the move, verifying it has significant volume. 💡 Note: For the best experience, start in Phase 1 to calibrate your Swing Detection Length to the specific volatility of the asset you are trading before enabling Full Strategy Mode.
Pine Script® インジケーター
PhenLabsの投稿
3
Smart Money Flow Index (SMFI) - Advanced SMC [PhenLabs]📊Smart Money Flow Index (SMFI) Version: PineScript™v6 📌Description The Smart Money Flow Index (SMFI) is an advanced Smart Money Concepts implementation that tracks institutional trading behavior through multi-dimensional analysis. This comprehensive indicator combines volume-validated Order Block detection, Fair Value Gap identification with auto-mitigation tracking, dynamic Liquidity Zone mapping, and Break of Structure/Change of Character detection into a unified system. Unlike basic SMC indicators, SMFI employs a proprietary scoring algorithm that weighs five critical factors: Order Block strength (validated by volume), Fair Value Gap size and recency, proximity to Liquidity Zones, market structure alignment (BOS/CHoCH), and multi-timeframe confluence. This produces a Smart Money Score (0-100) where readings above 70 represent optimal institutional setup conditions. 🚀Points of Innovation Volume-Validated Order Block Detection – Only displays Order Blocks when formation candle exceeds customizable volume multiplier (default 1.5x average), filtering weak zones and highlighting true institutional accumulation/distribution Auto-Mitigation Tracking System – Fair Value Gaps and Order Blocks automatically update status when price mitigates them, with visual distinction between active and filled zones preventing trades on dead levels Proprietary Smart Money Score Algorithm – Combines weighted factors (OB strength 25%, FVG proximity 20%, Liquidity 20%, Structure 20%, MTF 15%) into single 0-100 confidence rating updating in real-time ATR-Based Adaptive Calculations – All distance measurements use 14-period Average True Range ensuring consistent function across any instrument, timeframe, or volatility regime without manual recalibration Dynamic Age Filtering – Automatically removes liquidity levels and FVGs older than configurable thresholds preventing chart clutter while maintaining relevant levels Multi-Timeframe Confluence Integration – Analyzes higher timeframe bias with customizable multipliers (2-10x) and incorporates HTF trend direction into Smart Money Score for institutional alignment 🔧Core Components Order Block Engine – Detects institutional supply/demand zones using characteristic patterns (down-move-then-strong-up for bullish, up-move-then-strong-down for bearish) with minimum volume threshold validation, tracks mitigation when price closes through zones Fair Value Gap Scanner – Identifies price imbalances where current candle's low/high leaves gap with two-candle-prior high/low, filters by minimum size percentage, monitors 50% fill for mitigation status Liquidity Zone Mapper – Uses pivot high/low detection with configurable lookback to mark swing points where stop losses cluster, extends horizontal lines to visualize sweep targets, manages lifecycle through age-based removal Market Structure Analyzer – Tracks pivot progression to identify trend through higher-highs/higher-lows (bullish) or lower-highs/lower-lows (bearish), detects Break of Structure and Change of Character for trend/reversal confirmation Scoring Calculation Engine – Evaluates proximity to nearest Order Blocks using ATR-normalized distance, assesses FVG recency and distance, calculates liquidity proximity with age weighting, combines structure bias and MTF trend into smoothed final score 🔥Key Features Customizable Display Limits – Control maximum Order Blocks (1-10), Liquidity Zones (1-10), and FVG age (10-200 bars) to maintain clean charts focused on most relevant institutional levels Gradient Strength Visualization – All zones render with transparency-adjustable coloring where stronger/newer zones appear more solid and weaker/older zones fade progressively providing instant visual hierarchy Educational Label System – Optional labels identify each zone type (Bullish OB, Bearish OB, Bullish FVG, Bearish FVG, BOS) with color-coded text helping traders learn SMC concepts through practical application Real-Time Smart Money Score Dashboard – Top-right table displays current score (0-100) with color coding (green >70, yellow 30-70, red <30) plus trend arrow for at-a-glance confidence assessment Comprehensive Alert Suite – Configurable notifications for Order Block formation, Fair Value Gap detection, Break of Structure events, Change of Character signals, and high Smart Money Score readings (>70) Buy/Sell Signal Integration – Automatically plots triangle markers when Smart Money Score exceeds 70 with aligned market structure and fresh Order Block detection providing clear entry signals 🎨Visualization Order Block Boxes – Shaded rectangles extend from formation bar spanning high-to-low of institutional candle, bullish zones in green, bearish in red, with customizable transparency (80-98%) Fair Value Gap Zones – Rectangular areas marking imbalances, active FVGs display in bright colors with adjustable transparency, mitigated FVGs switch to gray preventing trades on filled zones Liquidity Level Lines – Dashed horizontal lines extend from pivot creation points, swing highs in bearish color (short targets above), swing lows in bullish color (long targets below), opacity decreases with age Structure Labels – "BOS" labels appear above/below price when Break of Structure confirmed, colored by direction (green bullish, red bearish), positioned at 1% beyond highs/lows for visibility Educational Info Panel – Bottom-right table explains key terminology (OB, FVG, BOS, CHoCH) and score interpretation (>70 high probability) with semi-transparent background for readability 📖Usage Guidelines General Settings Show Order Blocks – Default: On, toggles visibility of institutional supply/demand zones, disable when focusing solely on FVGs or Liquidity Show Fair Value Gaps – Default: On, controls FVG zone display including active and mitigated imbalances Show Liquidity Zones – Default: On, manages liquidity line visibility, disable on lower timeframes to reduce clutter Show Market Structure – Default: On, toggles BOS/CHoCH label display Show Smart Money Score – Default: On, controls score dashboard visibility Order Block Settings OB Lookback Period – Default: 20, Range: 5-100, controls bars scanned for Order Block patterns, lower values detect recent activity, higher values find older blocks Min Volume Multiplier – Default: 1.5, Range: 1.0-5.0, sets minimum volume threshold as multiple of 20-period average, higher values (2.0+) filter for strongest institutional candles Max Order Blocks to Display – Default: 3, Range: 1-10, limits simultaneous Order Blocks shown, lower settings (1-3) maintain focus on most recent zones Fair Value Gap Settings Min FVG Size (%) – Default: 0.3, Range: 0.1-2.0, defines minimum gap size as percentage of close price, lower values detect micro-imbalances, higher values focus on significant gaps Max FVG Age (bars) – Default: 50, Range: 10-200, removes FVGs older than specified bars, lower settings (10-30) for scalping, higher (100-200) for swing trading Show FVG Mitigation – Default: On, displays filled FVGs in gray providing visual history, disable to show only active untouched imbalances Liquidity Zone Settings Liquidity Lookback – Default: 50, Range: 20-200, sets pivot detection period for swing highs/lows, lower values (20-50) mark shorter-term liquidity, higher (100-200) identify major swings Max Liquidity Age (bars) – Default: 100, Range: 20-500, removes liquidity lines older than specified bars, adjust based on timeframe Liquidity Sensitivity – Default: 0.5, Range: 0.1-1.0, controls pivot detection sensitivity, lower values mark only major swings, higher values identify minor swings Max Liquidity Zones to Display – Default: 3, Range: 1-10, limits total liquidity levels shown maintaining chart clarity Market Structure Settings Pivot Length – Default: 5, Range: 3-15, defines bars to left/right for pivot validation, lower values (3-5) create sensitive structure breaks, higher (10-15) filter for major shifts Min Structure Move (%) – Default: 1.0, Range: 0.1-5.0, sets minimum percentage move required between pivots to confirm structure change Multi-Timeframe Settings Enable MTF Analysis – Default: On, activates higher timeframe trend analysis incorporation into Smart Money Score Higher Timeframe Multiplier – Default: 4, Range: 2-10, multiplies current timeframe to determine analysis timeframe (4x on 15min = 1hour) Visual Settings Bullish Color – Default: Green (#089981), sets color for bullish Order Blocks, FVGs, and structure elements Bearish Color – Default: Red (#f23645), defines color for bearish elements Neutral Color – Default: Gray (#787b86), controls color of mitigated zones and neutral elements Show Educational Labels – Default: On, displays text labels on zones identifying type (OB, FVG, BOS), disable once familiar with patterns Order Block Transparency – Default: 92, Range: 80-98, controls Order Block box transparency FVG Transparency – Default: 92, Range: 80-98, sets Fair Value Gap zone transparency independently from Order Blocks Alert Settings Alert on Order Block Formation – Default: On, triggers notification when new volume-validated Order Block detected Alert on FVG Formation – Default: On, sends alert when Fair Value Gap appears enabling quick response to imbalances Alert on Break of Structure – Default: On, notifies when BOS or CHoCH confirmed Alert on High Smart Money Score – Default: On, alerts when Smart Money Score crosses above 70 threshold indicating high-probability setup ✅Best Use Cases Order Block Retest Entries – After Break of Structure, wait for price retrace into fresh bullish Order Block with Smart Money Score >70, enter long on zone reaction targeting next liquidity level Fair Value Gap Retracement Trading – When price creates FVG during strong move then retraces, enter as price approaches unfilled gap expecting institutional orders to continue trend Liquidity Sweep Reversals – Monitor price approaching swing high/low liquidity zones against prevailing Smart Money Score trend, after stop hunt sweep watch for rejection into premium Order Block/FVG Multi-Timeframe Confluence Setups – Identify alignment when current timeframe Order Block coincides with higher timeframe FVG plus MTF analysis showing matching trend bias Break of Structure Continuations – After BOS confirms trend direction, trade pullbacks to nearest Order Block or FVG in direction of structure break using Smart Money Score >70 as entry filter Change of Character Reversal Plays – When CHoCH detected indicating potential reversal, look for Smart Money Score pivot with opposing Order Block formation then enter on structure confirmation ⚠️Limitations Lagging Pivot Calculations – Pivot-based features (Liquidity Zones, Market Structure) require bars to right of pivot for confirmation, meaning these elements identify levels retrospectively with delay equal to lookback period Whipsaw in Ranging Markets – During choppy conditions, Order Blocks fail frequently and structure breaks produce false signals as Smart Money Score fluctuates without clear institutional bias, best used in trending markets Volume Data Dependency – Order Block volume validation requires accurate volume data which may be incomplete on Forex pairs or limited in crypto exchange feeds Subjectivity in Scoring Weights – Proprietary 25-20-20-20-15 weighting reflects general institutional behavior but may not optimize for specific instruments or market regimes, user cannot adjust factor weights Visual Complexity on Lower Timeframes – Sub-hour timeframes generate excessive zones creating cluttered charts, requires aggressive display limit reduction and higher minimum thresholds No Fundamental Integration – Indicator analyzes purely technical price action and volume without incorporating economic events, news catalysts, or fundamental shifts that override technical levels 💡What Makes This Unique Unified SMC Ecosystem – Unlike indicators displaying Order Blocks OR FVGs OR Liquidity separately, SMFI combines all three institutional concepts plus market structure into single cohesive system Proprietary Confidence Scoring – Rather than manual setup assessment, automated Smart Money Score quantifies probability by weighting five institutional dimensions into actionable 0-100 rating Volume-Filtered Quality – Eliminates weak Order Blocks forming without institutional volume confirmation, ensuring displayed zones represent genuine accumulation/distribution Adaptive Lifecycle Management – Automatically updates mitigation status and removes aged zones preventing trades on dead levels through continuous validity and age monitoring Educational Integration – Built-in tooltips, labeled zones, and reference panel make indicator functional for both learning Smart Money Concepts and executing strategies 🔬How It Works Order Block Detection – Scans for patterns where strong directional move follows counter-move creating last down-candle before rally (bullish OB) or last up-candle before sell-off (bearish OB), validates formations only when candle exhibits volume exceeding configurable multiple (default 1.5x) of 20-bar average volume Fair Value Gap Identification – Compares current candle’s high/low against two-candles-prior low/high to detect price imbalances, calculates gap size as percentage of close and filters micro-gaps below minimum threshold (default 0.3%), monitors whether subsequent price fills 50% triggering mitigation status Liquidity Zone Mapping – Employs pivot detection using configurable lookback (default 50 bars) to identify swing highs/lows where retail stops cluster, extends horizontal reference lines from pivot creation and applies age-based filtering to remove stale zones Market Structure Analysis – Tracks pivot progression using structure-specific lookback (default 5 bars) to determine trend, confirms uptrend when new pivot high exceeds previous by minimum move percentage, detects Break of Structure when price breaks recent pivot level, flags Change of Character for potential reversals Multi-Timeframe Confluence – When enabled, requests security data from higher timeframe (current TF × HTF multiplier, default 4x), compares HTF close against HTF 20-period MA to determine bias, contributes ±50 points to score ensuring alignment with institutional positioning on superior timeframe Smart Money Score Calculation – Evaluates Order Block component via ATR-normalized distance producing max 100-point contribution weighted at 25%, assesses FVG factor through age penalty and distance at 20% weight, calculates Liquidity proximity at 20%, incorporates structure bias (±50-100 points) at 20%, adds MTF component at 15%, applies 3-period smoothing to reduce volatility Visual Rendering and Lifecycle – Draws Order Block boxes, Fair Value Gap rectangles with color coding (green/red active, gray mitigated), extends liquidity dashed lines with fade-by-age opacity, plots BOS labels, displays Smart Money Score dashboard, continuously updates checking mitigation conditions and removing elements exceeding age/display limits 💡Note: The Smart Money Flow Index combines multiple Smart Money Concepts into unified institutional order flow analysis. For optimal results, use the Smart Money Score as confluence filter rather than standalone entry signal – scores above 70 indicate high-probability setups but should be combined with risk management, higher timeframe bias, and market regime understanding.
Pine Script® インジケーター
PhenLabsの投稿
4
Fib BB on VWMA*ATRThis TradingView Pine Script is designed to plot Fibonacci Bollinger Bands on a Volume Weighted Moving Average (VWMA) using the Average True Range (ATR). The script takes a higher timeframe (HTF) approach, allowing traders to analyze price action and volatility from a broader market perspective. 🔹 How It Works Higher Timeframe Data Integration Users can select a specific timeframe to calculate the VWMA and ATR. This allows for a more macro perspective, avoiding the noise of lower timeframes. Volume Weighted Moving Average (VWMA) Unlike the Simple Moving Average (SMA), VWMA gives higher weight to price movements with larger volume. Calculation Formula: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 Since VWMA accounts for volume, it is more reactive to price zones with high buying or selling activity, making it useful for identifying liquidity zones. ATR-Based Fibonacci Bollinger Bands The Average True Range (ATR) is used to measure market volatility. Instead of standard deviation-based Bollinger Bands, Fibonacci multipliers (2.618, 3.0, 3.414) are applied to ATR. These bands adjust dynamically with market volatility. 🔹 Key Findings from Exploration Through testing and analysis, this indicator seems to effectively detect supply and demand zones, particularly at the Fibonacci levels of 2.618 to 3.414. Price frequently reacts at these bands, indicating that they capture key liquidity zones. Potential Order Block Detection: The ends of the Fibonacci Bollinger Bands (especially at 2.618, 3.0, and 3.414) tend to align with order blocks—areas where institutional traders previously accumulated or distributed positions. This is particularly useful for order flow traders who focus on unfilled institutional orders. 🔹 How to Use This Indicator? Identifying Order Blocks When price reaches the upper or lower bands, check if there was a strong reaction (rejection or consolidation). If price rapidly moves away from a band, that level might be an order block. Spotting Liquidity Pools VWMA’s nature enhances liquidity detection since it emphasizes high-volume price action. If a price level repeatedly touches the band without breaking through, it suggests institutional orders may be absorbing liquidity there. Trend Confirmation If VWMA is trending upwards and price keeps rejecting the lower bands, it confirms a strong bullish trend. Conversely, constant rejection from the upper bands suggests a bearish market. This script is designed for open-source publication and offers traders a refined approach to detecting order blocks and liquidity zones using Fibonacci-based volatility bands. 📌 한글 설명 (상세 설명) 이 트레이딩뷰 파인스크립트는 거래량 가중 이동평균(VWMA)과 평균 실제 범위(ATR)를 활용하여 피보나치 볼린저 밴드를 표시하는 지표입니다. 또한, 고차 타임프레임(HTF) 데이터를 활용하여 시장의 큰 흐름을 분석할 수 있도록 설계되었습니다. 🔹 지표 작동 방식 고차 타임프레임(HTF) 데이터 적용 사용자가 원하는 타임프레임을 선택하여 VWMA와 ATR을 계산할 수 있습니다. 이를 통해 더 큰 시장 흐름을 분석할 수 있으며, 저타임프레임의 노이즈를 줄일 수 있습니다. 거래량 가중 이동평균(VWMA) 적용 VWMA는 단순 이동평균(SMA)보다 거래량이 많은 가격 움직임에 더 큰 가중치를 부여합니다. 계산 공식: 𝑉𝑊𝑀𝐴=∑(𝐶𝑙𝑜𝑠𝑒×𝑉𝑜𝑙𝑢𝑚𝑒) / ∑𝑉𝑜𝑙𝑢𝑚𝑒 ​ 거래량이 많이 발생한 가격 구간을 강조하는 특성이 있어, 시장의 유동성 구간을 더 정확히 포착할 수 있습니다. ATR 기반 피보나치 볼린저 밴드 생성 ATR(Average True Range)를 활용하여 변동성을 측정합니다. 기존의 표준편차 기반 볼린저 밴드 대신, 피보나치 계수(2.618, 3.0, 3.414)를 ATR에 곱하여 밴드를 생성합니다. 이 밴드는 시장 변동성에 따라 유동적으로 조정됩니다. 🔹 탐구 결과: 매물대 및 오더블록 감지 테스트를 통해 Fibonacci 2.618 ~ 3.414 구간에서 매물대 및 오더블록을 포착하는 경향이 있음을 확인했습니다. 가격이 피보나치 밴드(특히 2.618, 3.0, 3.414)에 닿을 때 반응하는 경우가 많음 VWMA의 특성을 통해 오더블록을 감지할 가능성이 높음 🔹 오더블록(Order Block) 감지 원리 Fibonacci 밴드 끄트머리(2.618 ~ 3.414)에서 가격이 강하게 반응 이 영역에서 가격이 강하게 튀어 오르거나(매수 압력) 급락하는(매도 압력) 경우, → 기관들이 포지션을 청산하거나 추가 매집하는 구간일 가능성이 큼. 과거에 대량 주문이 체결된 가격 구간(= 오더블록)일 수 있음. VWMA를 통한 유동성 감지 VWMA는 거래량이 집중된 가격을 기준으로 이동하기 때문에, 기관 주문이 많이 들어온 가격대를 강조하는 특징이 있음. 따라서 VWMA와 피보나치 밴드가 만나는 지점은 유동성이 높은 핵심 구간이 될 가능성이 큼. 매물대 및 청산 구간 분석 가격이 밴드에 도달했을 때 강한 반등이 나오는지를 확인 → 오더블록 가능성 가격이 밴드를 여러 번 테스트하면서 돌파하지 못한다면, 해당 지점은 강한 매물대일 가능성 🔹 활용 방법 ✅ 오더블록 감지: 가격이 밴드(2.618~3.414)에 닿고 강하게 튕긴다면, 오더블록 가능성 해당 지점에서 거래량 증가 및 강한 반등 발생 시 매수 고려 ✅ 유동성 풀 확인: VWMA와 피보나치 밴드가 만나는 구간에서 반복적으로 거래량이 터진다면, 해당 지점은 기관 유동성 구간일 가능성 ✅ 추세 확인: VWMA가 상승하고 가격이 밴드 하단(지지선)에서 튕긴다면 강한 상승 추세 VWMA가 하락하고 가격이 밴드 상단(저항선)에서 거부당하면 하락 추세 지속
Pine Script® インジケーター
kdhchgoの投稿
TJR SEEK AND DESTROYTJR SEEK AND DESTROY – Intraday ICT Trading Tool Built for day traders, TJR SEEK AND DESTROY combines Smart Money concepts like order blocks, fair value gaps, and liquidity sweeps with structure breaks and daily bias to pinpoint high-probability trades during US market hours (9:30–16:00). Ideal for scalping or intraday strategies on stocks, futures, or forex. What Makes It Unique? Unlike standalone ICT indicators, this script integrates: Order Blocks with volume and range filters for precise support/resistance zones. Fair Value Gaps (FVG) to spot pre-market price imbalances. Break of Structure (BOS) and Liquidity Sweeps for trend and reversal signals. A 1H MA-based Bias to align trades with the day’s direction. BUY/SELL Labels triggered only when bias, BOS, and sweeps align, reducing noise. How Does It Work? Order Blocks: Marks zones with high volume (>1.5x 20-period SMA) and low range (<0.5x ATR20) as teal boxes—potential reversal points. Fair Value Gap: Compares the prior day’s close to the current open (pre- or post-9:30), shown as a purple line and label (e.g., "FVG: 0.005"). Pivot Point: Calculates (prevHigh + prevLow + prevClose) / 3 from the prior day, plotted as an orange line for equilibrium. Break of Structure: Detects crossovers of 5-bar highs/lows (gray lines), marked with red triangles. Liquidity Sweeps: Tracks breaches of the prior day’s high/low (yellow lines), marked with yellow triangles. Daily Bias: Uses 1H close vs. 20-period MA (blue line) for bullish (green background), bearish (red), or neutral (gray) context. Signals: BUY (green label) when bias is bullish, price breaks up, and sweeps the prior high; SELL (red label) when bias is bearish, price breaks down, and sweeps the prior low. How to Use It Setup: Apply to 1M–15M charts for US session trading (9:30–16:00 EST). Trading: Wait for a BUY label after a yellow sweep triangle above the prior day’s high in a green (bullish) background. Wait for a SELL label after a yellow sweep triangle below the prior day’s low in a red (bearish) background. Use order blocks (teal boxes) as support/resistance for stop-loss or take-profit. Markets: Best for SPY, ES futures, or forex pairs with US session volatility. Underlying Concepts Order Blocks: High-volume, low-range bars suggest institutional activity. FVG: Gaps between close and open indicate imbalance to be filled. BOS & Sweeps: Price breaking key levels signals momentum or stop-hunting. Bias: 1H MA filters trades by broader trend. Chart Setup Displays order blocks (teal boxes), pivot (orange), open (purple), bias (colored background), BOS/sweeps (triangles), and signals (labels). Keep other indicators off for clarity.
Pine Script® インジケーター
SwiftEdgeの投稿
DonAlt - Smart Money Toolkit [BigBeluga]DonAlt - Smart Money Toolkit is inspired by the analytical insights of popular crypto influencer DonAlt. This advanced toolkit integrates smart money concepts with key technical analysis elements to enhance your trading decisions. 🔵 KEY FEATURES: SUPPORT AND RESISTANCE LEVELS Automatically identifies critical market turning points with significant volume. Levels turn green when the price is above them and red when below, providing a visual cue for key market thresholds. ‎ ‎ ‎ ORDER BLOCKS: Highlights significant price zones preceding major price movements. - If the move is down , it searches for the last bullish candle and plots a block from its body. - If the move is up , it searches for the last bearish candle and creates a block from its body. These blocks help identify areas of institutional interest and potential reversals. ‎ ‎ ‎ TRENDLINES: Automatically plots trendlines to identify breakout zones or price accumulation areas. • Bullish trendlines accumulation form when the current low is higher than the previous low. • Bearish trendlines accumulation emerge when the current high is lower than the previous high. • Bullish trendlines Breakout form when the price break above it. • Bearish trendlines Breakout form when the price break below it. ‎ ‎ ‎ Volatility Integration: The levels incorporate normalized volatility to ensure only significant zones are highlighted, filtering noise and emphasizing meaningful data. ‎ ‎ 🔵 WHEN TO USE: This toolkit is ideal for traders seeking to align with "smart money" strategies by identifying key areas of institutional activity, strong support and resistance zones, and potential breakout setups. ‎ ‎ 🔵 CUSTOMIZATION: Toggle the visibility of levels, order blocks, or trendlines to match your trading style and focus. Colors of the Bull and Bear key features Extend trendline
Pine Script® インジケーター
BigBelugaの投稿
35
WhalenatorThis custom TradingView indicator combines multiple analytic techniques to help identify potential market trends, areas of support and resistance, and zones of heightened trading activity. It incorporates a SuperTrend-like line based on ATR, Keltner Channels for volatility-based price envelopes, and dynamic order blocks derived from significant volume and pivot points. Additionally, it highlights “whale” activities—periods of exceptionally large volume—along with an estimated volume profile level and approximate bid/ask volume distribution. Together, these features aim to offer traders a more comprehensive view of price structure, volatility, and institutional participation. This custom TradingView indicator integrates multiple trading concepts into a single, visually descriptive tool. Its primary goal is to help traders identify directional bias, volatility levels, significant volume events, and potential support/resistance zones on a price chart. Below are the main components and their functionalities: SuperTrend-Like Line (Trend Bias): At the core of the indicator is a trend-following line inspired by the SuperTrend concept, which uses Average True Range (ATR) to adaptively set trailing stop levels. By comparing price to these levels, the line attempts to indicate when the market is in an uptrend (price above the line) or a downtrend (price below the line). The shifting levels can provide a dynamic sense of direction and help traders stay with the predominant trend until it shifts. Keltner Channels (Volatility and Range): Keltner Channels, based on an exponential moving average and Average True Range, form volatility-based envelopes around price. They help traders visualize whether price is extended (touching or moving outside the upper/lower band) or trading within a stable range. This can be useful in identifying low-volatility consolidations and high-volatility breakouts. Dynamic Order Blocks (Approximations of Supply/Demand Zones): By detecting pivot highs and lows under conditions of significant volume, the indicator approximates "order blocks." Order blocks are areas where institutional buying or selling may have occurred, potentially acting as future support or resistance zones. Although these approximations are not perfect, they offer a visual cue to areas on the chart where price might react strongly if revisited. Volume Profile Proxy and Whale Detection: The indicator highlights price levels associated with recent maximum volume activity, providing a rough "volume profile" reference. Such levels often become key points of price interaction. "Whale" detection logic attempts to identify bars where exceptionally large volume occurs (beyond a defined threshold). By tracking these "whale bars," traders can infer where heavy participation—often from large traders or institutions—may influence market direction or create zones of interest. Approximate Bid/Ask Volume and Dollar Volume Tracking: The script estimates whether volume within each bar leans more towards the bid or the ask side, aiming to understand which participant (buyers or sellers) might have been more aggressive. Additionally, it calculates dollar volume (close price multiplied by volume) and provides an average to gauge the relative participation strength over time. Labeling and Visual Aids: Dynamic labels display Whale Frequency (the ratio of bars with exceptionally large volume), average dollar volume, and approximate ask/bid volume metrics. This gives traders at-a-glance insights into current market conditions, participation, and sentiment. Strengths: Multifaceted Analysis: By combining trend, volatility, volume, and order block logic in one place, the indicator saves chart space and simplifies the analytical process. Traders gain a holistic view without flipping between multiple separate tools. Adaptable to Market Conditions: The use of ATR and Keltner Channels adapts to changing volatility conditions. The SuperTrend-like line helps keep traders aligned with the prevailing trend, avoiding constant whipsaws in choppy markets. Volume-Based Insights: Integrating whale detection and a crude volume profile proxy helps traders understand where large players might be interacting. This perspective can highlight critical levels that might not be evident from price action alone. Convenient Visual Cues and Labels: The indicator provides quick reference points and textual information about the underlying volume dynamics, making decision-making potentially faster and more informed. Weaknesses: Heuristic and Approximate Nature: Many of the indicator’s features, like the "order blocks," "whale detection," and the approximate bid/ask volume, rely on heuristics and assumptions that may not always be accurate. Without actual Level II data or true volume profiles, the insights are best considered as supplementary, not definitive signals. Lagging Components: Indicators that rely on past data, like ATR-based trends or moving averages for Keltner Channels, inherently lag behind price. This can cause delayed signals, particularly in fast-moving markets, potentially missing some early opportunities or late in confirming market reversals. No Guaranteed Predictive Power: As with any technical tool, it does not forecast the future with certainty. Strong volume at a certain level or a bullish SuperTrend reading does not guarantee price will continue in that direction. Market conditions can change unexpectedly, and false signals will occur. Complexity and Overreliance Risk: With multiple signals combined, there’s a risk of information overload. Traders might feel compelled to rely too heavily on this one tool. Without complementary analysis (fundamentals, news, or additional technical confirmation), overreliance on the indicator could lead to misguided trades. Conclusion: This integrated indicator offers a comprehensive visual guide to market structure, volatility, and activity. Its strength lies in providing a multi-dimensional viewpoint in a single tool. However, traders should remain aware of its approximations, inherent lags, and the potential for conflicting signals. Sound risk management, position sizing, and the use of complementary analysis methods remain essential for trading success. Risks Associated with Trading: No indicator can guarantee profitable trades or accurately predict future price movements. Market conditions are inherently unpredictable, and reliance on any single tool or combination of tools carries the risk of financial loss. Traders should practice sound risk management, including the use of stop losses and position sizing, and should not trade with funds they cannot afford to lose. Ultimately, decisions should be guided by a thorough trading plan and possibly supplemented with other forms of market analysis or professional advice. Risks and Important Considerations: • Not a Standalone Tool: • This indicator should not be used in isolation. It is essential to incorporate additional technical analysis tools, fundamental analysis, and market context when making trading decisions. • Relying solely on this indicator may lead to incomplete assessments of market conditions. • Market Volatility and False Signals: • Financial markets can be highly volatile, and indicators based on historical data may not accurately predict future movements. • The indicator may produce false signals due to sudden market changes, low liquidity, or atypical trading activity. • Risk Management: • Always employ robust risk management strategies, including setting stop-loss orders, diversifying your portfolio, and not over-leveraging positions. • Understand that no indicator guarantees success, and losses are a natural part of trading. • Emotional Discipline: • Avoid making impulsive decisions based on indicator signals alone. • Emotional trading can lead to significant financial losses; maintain discipline and adhere to a well-thought-out trading plan. • Continuous Learning and Adaptation: • Stay informed about market news, economic indicators, and global events that may impact trading conditions. • Continuously evaluate and adjust your trading strategies as market dynamics evolve. • Consultation with Professionals: • Consider seeking advice from financial advisors or professional traders to understand better how this indicator can fit into your overall trading strategy. • Professional guidance can provide personalized insights based on your financial goals and risk tolerance. Disclaimer: Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions. Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Pine Script® インジケーター
DinoTradezの投稿
ICT Unicorn | Flux Charts💎 GENERAL OVERVIEW Introducing our new ICT Unicorn Indicator! This indicator is built around the ICT's "Unicorn" strategy. The strategy uses Breaker Blocks and Fair Value Gaps for entry confirmation. For more information about the process, check the "HOW DOES IT WORK" section. Features of the new ICT Unicorn Indicator : Implementation of ICT's Unicorn Strategy Toggleable Retracement Entry Method 3 Different TP / SL Methods Customizable Execution Settings Customizable Backtesting Dashboard Alerts for Buy, Sell, TP & SL Signals 📌 HOW DOES IT WORK ? The ICT Unicorn entry model merges the concepts of Breaker Blocks and Fair Value Gaps (FVGs), offering a distinct method for identifying trade opportunities. By integrating these two elements, we can have a position entry with stop-loss and take-profit targets on the potential support & resistance zones. This model is particularly reliable for trade entry, as it combines two powerful entry techniques. An ICT Unicorn Model consists of a FVG which is overlapping with a Breaker Block of the same type. Here is an example : When a FVG overlaps with a Breaker Block of the same type, the indicator gives a Buy or Sell signal depending on the FVG type (Bullish & Bearish). If the "Require Retracement" option is enabled in the settings, the signals are not given immediately. Instead, the current price of the ticker will need to touch the FVG once more before the signals are given. After the Buy or Sell signal, the indicator immediately draws the take-profit (TP) and stop-loss (SL) targets. The indicator has three different TP & SL modes, explained in the "Settings" section of this write-up. You can set up alerts for entry and TP & SL signals, and also check the current performance of the indicator and adjust the settings accordingly to the current ticker using the backtesting dashboard. 🚩 UNIQUENESS This indicator is an all-in-one suit for the ICT's Unicorn concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. Three different TP / SL modes are available to suit your needs. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers. ⚙️ SETTINGS 1. General Configuration FVG Detection Sensitivity -> You may select between Low, Normal, High or Extreme FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs. Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order & breaker blocks. Require Retracement -> a) Disabled : The entry signal is given immediately once a FVG overlaps with a Breaker Block of the same type. b) Enabled : The current price of the ticker will need to touch the FVG once more before the entry signal is given. 2. TP / SL TP / SL Method -> a) Unicorn : This is the default option. The SL will be set to the lowest low of the last 100 bars with an extra offset in a Buy signal. For Sell signals, the SL will be set to the highest high of the last 100 bars with an extra offset. The TP is then set to a value using the SL value and maintaining a risk-reward ratio. b) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker. c) Fixed : You can adjust the exact TP / SL ratios from the settings below. Dynamic Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
Pine Script® インジケーター
fluxchartの投稿
21
TCT OBIF Detector█ OVERVIEW The OBIF (Order Block Imbalance Fill) indicator automatically detects and visualizes high-probability trading zones by combining two powerful Smart Money Concepts: Order Blocks and Fair Value Gaps (FVGs). An OBIF occurs when an Order Block forms immediately before a Fair Value Gap, creating a zone of institutional interest that price often revisits before continuing its move. █ CONCEPTS Order Block (OB) An Order Block is the last opposing candle before a strong directional move. It represents an area where institutional traders likely placed orders. - Bullish OB: Last bearish candle before an up-move - Bearish OB: Last bullish candle before a down-move Fair Value Gap (FVG) An FVG is a price imbalance created when a candle's body completely gaps past the previous candle's range, leaving an unfilled area. - Bullish FVG: Gap up where candle .low > candle .high - Bearish FVG: Gap down where candle .high < candle .low OBIF Zone When an Order Block directly precedes an FVG, it creates an OBIF - a confluence zone with higher probability of acting as support/resistance. █ HOW TO USE 1. Identify the Trend Use OBIFs in the direction of the higher timeframe trend for best results. 2. Wait for Price to Return OBIFs act as magnets - price often returns to fill the imbalance and test the order block. 3. Look for Confirmation When price enters an OBIF zone, look for: - Rejection wicks - Engulfing patterns - Break of structure on lower timeframes 4. Mitigation Once price fully trades through the OBIF (touches the opposite edge), the zone is considered mitigated and loses its significance. █ FEATURES - Automatic Detection — Identifies OBIFs in real-time as they form - Visual Zones — Clean, non-intrusive boxes that don't obscure price action - Mitigation Tracking — Zones automatically update when price mitigates them - Multi-Timeframe Friendly — Works on any timeframe from 1m to Monthly - Customizable — Adjust colors, opacity, and display preferences █ SETTINGS - Lookback Window — How many candles back to search for the Order Block (default: 3) - Show Bullish/Bearish — Toggle visibility of each type - Show Mitigated — Display zones that have been mitigated (shown in gray) - Fill Opacity — Adjust zone transparency (higher = more see-through) - Border Width — Thickness of zone borders █ BEST PRACTICES ✓ Use on higher timeframes (1H+) for more reliable zones ✓ Combine with market structure analysis ✓ Look for OBIFs at key support/resistance levels ✓ Use lower timeframe confirmation for entries ✗ Don't trade every OBIF blindly ✗ Avoid OBIFs against the dominant trend █ CREDITS The Composite Trader (TCT) methodologies.
Pine Script® インジケーター
safiullahmubashir08の投稿
ORDER BLCOK custom strategy# OB Matrix Strategy - Documentation **Version:** 1.0 **Author:** HPotter **Date:** 31/07/2017 The **OB Matrix Strategy** is based on the identification of **bullish and bearish Order Blocks** and the management of conditional orders with multiple Take Profit (TP) and Stop Loss (SL) levels. It uses trend filters, ATR, and percentage-based risk management. --- ## 1. Main Parameters ### Strategy - `initial_capital`: 50 - `default_qty_type`: percentage of capital - `default_qty_value`: 10 ### Money Management - `rr_threshold`: minimum Risk/Reward threshold to open a trade - `risk_percent`: percentage of capital to risk per trade (default 2%) - `maxPendingBars`: maximum number of bars for a pending order - `maxBarsOpen`: maximum number of bars for an open position - `qty_tp1`, `qty_tp2`, `qty_tp3`: quantity percentages for multiple TPs --- ## 2. Order Block Identification ### Order Block Parameters - `obLookback`: number of bars to identify an Order Block - `obmode`: method to calculate the block (`Full` or `Breadth`) - `obmiti`: method to determine block mitigation (`Close`, `Wick`, `Avg`) - `obMaxBlocks`: maximum number of Order Blocks displayed ### Main Variables - `bullBlocks`: array of bullish blocks - `bearBlocks`: array of bearish blocks - `last_bull_volume`, `last_bear_volume`: volume of the last block - `dom_block`: dominant block type (Bullish/Bearish/None) - `block_strength`: block strength (normalized volume) - `price_distance`: distance between current price and nearest block --- ## 3. Visual Parameters - `Width`: line thickness for swing high/low - `amountOfBoxes`: block grid segments - `showBorder`: show block borders - `borderWidth`: width of block borders - `showVolume`: display volume inside blocks - `volumePosition`: vertical position of volume text Customizable colors: - `obHighVolumeColor`, `obLowVolumeColor`, `obBearHighVolumeColor`, `obBearLowVolumeColor` - `obBullBorderColor`, `obBearBorderColor` - `obBullFillColor`, `obBearFillColor` - `volumeTextColor` --- ## 4. Screener Table - `showScreener`: display the screener table - `tablePosition`: table position (`Top Left`, `Top Right`, `Bottom Left`, `Bottom Right`) - `tableSize`: table size (`Small`, `Normal`, `Large`) The table shows: - Symbol, Timeframe - Type and status of Order Block - Number of retests - Bullish and bearish volumes --- ## 5. Trend Filters - EMA as a trend filter (`emaPeriod`, default 223) - `bullishTrend` if close > EMA - `bearishTrend` if close < EMA --- ## 6. ATR and Swing Points - ATR calculated with a customizable period (`atrLength`) - Swing High/Low for SL/TP calculation - `f_getSwingTargets` function to calculate SL and TP based on direction --- ## 7. Trade Logic ### Buy Limit on Bullish OB - Conditions: - New bullish block - Uptrend - RR > threshold (`rr_threshold`) - SL: `bullishOBPrice * (1 - atr * atrMultiplier)` - Multiple TPs: TP1 (50%), TP2 (80%), TP3 (100% max) - Quantity calculation based on percentage risk ### Sell Limit on Bearish OB - Conditions: - New bearish block - Downtrend - RR > threshold (`rr_threshold`) - SL: `bearishOBPrice * (1 + atr * atrMultiplier)` - Multiple TPs: TP1 (50%), TP2 (80%), TP3 (100% max) - Quantity calculation based on percentage risk --- ## 8. Order Management and Timeout - Close pending orders after `maxPendingBars` bars - Close open positions after `maxBarsOpen` bars - Label management for open orders --- ## 9. Alert Conditions - `bull_touch`: price inside maximum bullish volume zone - `bear_touch`: price inside maximum bearish volume zone - `bull_reject`: confirmation of bullish zone rejection - `bear_reject`: confirmation of bearish zone rejection - `new_bull`: new bullish block - `new_bear`: new bearish block --- ## 10. Level Calculation - Swing levels based on selected timeframe (`SelectPeriod`) - `xHigh` and `xLow` for S1 and R1 calculation - Levels plotted on chart --- ## 11. Take Profit / Stop Loss - Extended horizontal lines (`extendBars`) to visualize TP and SL - Customizable colors (`tpColor`, `slColor`) --- ## 12. Notes - Complete script based on Pine Script v5 - Advanced graphical management with boxes, lines, labels - Dynamically displays volumes and Order Blocks - Integrated internal screener --- ### End of Documentation
Pine Script® ストラテジー
CRYPTO_EWTの投稿
IDKFAIDKFA - Advanced Order Blocks & Volume Profile with Market Structure Analysis Why IDKFA? Named after the legendary DOOM cheat code that gives players "all weapons and full ammo," IDKFA provides traders with a comprehensive arsenal of market analysis tools. Just as the cheat code arms players with everything needed for combat, this indicator equips traders with essential market structure tools: Order Blocks, Volume Profile, LVN/HVN areas, Fibonacci retracements, and intelligent buy/sell signals - all in one unified system. Core Features Order Blocks Detection Automatically identifies institutional order blocks using pivot high/low analysis Extends blocks dynamically until price interaction occurs Bullish blocks (demand zones) and bearish blocks (supply zones) Customizable opacity and extend functionality Advanced Volume Profile Real-time volume profile calculation for multiple session types Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) Mode 1: Side-by-side bull/bear volume display Mode 2: Overlapped volume display with percentage analysis Shows buying vs selling pressure at each price level LVN/HVN Area Detection Low Volume Nodes (LVN): Areas below VAL where price moves quickly High Volume Nodes (HVN): Areas above VAH with strong resistance NPOC (Naked Point of Control): Single print areas within Value Area Volume-based gradient coloring shows relative activity levels Smart Fibonacci Retracements Auto-detects trend direction for proper fibonacci orientation Dynamic color coding: Red levels in uptrends, Gold in downtrends Special 88.6% level turns lime green in downtrends Key levels: 23.6%, 38.2%, 50%, 61.8%, 65%, 78.6%, 88.6% Intelligent Signal System Works best on higher timeframes Identifies high-probability reversal setups at key levels Buy signals: Large bearish rejection followed by bullish reclaim Sell signals: Large bullish rejection followed by bearish breakdown Signals only trigger near significant support/resistance areas Signal Analysis & Usage Guidelines Buy Signal Mechanics The buy signal triggers when: Previous candle shows significant bearish movement (minimum ATR multiplier) Current candle reclaims a configurable percentage of the previous candle's range Price is near a key support level (order blocks, fibonacci, volume levels) Sell Signal Mechanics The sell signal triggers when: Previous candle shows significant bullish movement (minimum ATR multiplier) Current candle rejects below a configurable percentage of the previous candle's range Price is near a key resistance level (order blocks, fibonacci, volume levels) When to TAKE Signals High Probability Buy Signals: Signal appears AT or BELOW the VAL (Value Area Low) Signal occurs at bullish order block confluence Price is in LVN area below VAL (momentum acceleration zone) Signal aligns with fibonacci 61.8% or 78.6% support Multiple session POC levels provide support confluence Previous session's VAL acting as current support High Probability Sell Signals: Signal appears AT or ABOVE the VAH (Value Area High) Signal occurs at bearish order block confluence Price is in HVN area above VAH (heavy resistance zone) Signal aligns with fibonacci 61.8% or 78.6% resistance Multiple session POC levels provide resistance confluence Previous session's VAH acting as current resistance When to AVOID Signals Avoid Buy Signals When: Signal appears ABOVE the VAH (buying into resistance) Price is in HVN red zones (high volume resistance areas) No clear support structure below current price Volume profile shows heavy selling pressure (high bear percentages) Signal occurs during low-volume periods between major sessions Multiple bearish order blocks exist below current price Avoid Sell Signals When: Signal appears BELOW the VAL (selling into support) Price is in LVN green zones (momentum could continue) No clear resistance structure above current price Volume profile shows heavy buying pressure (high bull percentages) Signal occurs during Asian session ranges without clear direction Multiple bullish order blocks exist above current price Volume Profile Context for Signals Understanding Bull/Bear Percentages: 70%+ Bull dominance at a level = Strong support expected 70%+ Bear dominance at a level = Strong resistance expected 50/50 Split = Neutral zone, less predictable Use percentages to gauge conviction behind moves POC (Point of Control) Interactions: Signals above POC in uptrend = Higher probability Signals below POC in downtrend = Higher probability Signals against POC bias require extra confirmation POC often acts as magnetic level for price return Trading Strategies Strategy 1: VAL/VAH Bounce Strategy Wait for price to approach VAL (support) or VAH (resistance) Look for signal confirmation at these critical levels Enter with tight stops beyond the Value Area Target opposite boundary or next session's levels Strategy 2: Order Block + Volume Confluence Identify order block alignment with VAL/VAH Wait for signal within the confluence zone Enter on signal with stop beyond order block Use LVN areas as acceleration zones for targets Strategy 3: LVN/HVN Strategy LVN (Green) Areas: "Go Zones" - expect quick price movement through low volume HVN (Red) Areas: "Stop Zones" - expect resistance and potential reversals NPOC Areas: "Fill Zones" - price often returns to fill single print gaps Strategy 4: Multi-Session Analysis Use Daily/Weekly for major structure context Use 4H for intermediate levels Use 1H for precise entry timing Ensure all timeframes align before taking signals Strategy 5: Fibonacci + Volume Profile Buy signals at 61.8% or 78.6% fibonacci near VAL Sell signals at 61.8% or 78.6% fibonacci near VAH Use 88.6% level as final support/resistance before major moves 50% level often aligns with POC for confluence Signal Quality Assessment Grade A Signals (Highest Probability): Signal at VAL/VAH with order block confluence Fibonacci level alignment (61.8%, 78.6%) Volume profile shows 70%+ dominance in signal direction Multiple timeframe structure alignment Signal occurs during high-volume sessions (London/NY) Grade B Signals (Moderate Probability): Signal near POC with some confluence Fibonacci 50% or 38.2% alignment Mixed volume profile readings (50-70% dominance) Some timeframe alignment present Signal during overlap sessions Grade C Signals (Lower Probability): Signal with minimal confluence Weak fibonacci alignment or none Volume profile neutral or against signal Conflicting timeframe signals Signal during low-volume periods Risk Management Guidelines Position Sizing Based on Signal Quality: Grade A: Standard position size Grade B: Reduced position size (50-75%) Grade C: Minimal position size (25%) or skip entirely Stop Loss Placement: Beyond order block boundaries Outside Value Area (VAL/VAH) Below/above fibonacci confluence levels Account for session volatility ranges Profit Targets: First target: Opposite VAL/VAH boundary Second target: Next session's key levels Final target: Major order blocks or fibonacci extensions Credits & Attribution Original components derived from: Market Sessions & Volume Profile by © Leviathan (Mozilla Public License 2.0) Volume Profile elements inspired by @LonesomeTheBlue's volume profile script Pivot Order Blocks by TradingWolf / © MensaTrader (Mozilla Public License 2.0) Auto Fibonacci Retracement code (public domain) Significant enhancements and modifications include: Advanced LVN/HVN detection and visualization Bull/Bear percentage analysis for Mode 2/3 Comprehensive alert system with market context Integrated buy/sell signals at key levels Performance optimizations and extended session support Enhanced Mode 2/3 with percentage pressure analysis Important Disclaimers This indicator is a technical analysis tool designed for educational purposes. It does not provide financial advice, investment recommendations, or trading signals that guarantee profits. All trading involves substantial risk of loss, and past performance does not guarantee future results. Users should conduct their own research, understand the risks involved, and consider consulting with qualified financial advisors before making trading decisions. The signals and analysis provided are based on historical price patterns and volume data, which may not predict future market movements accurately. Best Practices Never trade signals blindly - always consider volume profile context Wait for confluence between multiple tools before entering Respect the Value Area - avoid buying above VAH or selling below VAL Use session context - Asian ranges vs London/NY breakouts Practice proper risk management - position size based on signal quality Understand the bigger picture - use multiple timeframes for context Remember: Like the IDKFA cheat code, having all the tools doesn't guarantee success. The key is learning to use them together effectively and understanding when NOT to take a signal is often more important than knowing when to take one.
Pine Script® インジケーター
MessyJessの投稿
7
Bounty SeekerBounty Seeker - Advanced Market Structure & Order Block Detection A sophisticated indicator that identifies high-probability reversal zones through the analysis of market structure, volume patterns, and institutional order blocks. This tool helps traders spot potential reversals and fake-outs with precision. Core Components: 1. Pivot Detection System • Smart pivot high/low identification • Volume-enhanced confirmation • RSI confluence validation • Real-time market structure analysis 2. Order Block Detection • Institutional buying/selling zones • Historical support/resistance levels • Smart volume threshold analysis • Dynamic level adaptation Signal Types: 1. Bull Pivots (White X) • Strong volume confirmation • RSI oversold conditions • Price action validation • Order block confluence 2. Bear Pivots (Purple X) • Volume surge confirmation • RSI overbought alignment • Bearish price action • Resistance zone validation 3. Fake Pivots (Orange X) • Low volume warning signals • Trap zone identification • False breakout detection • Risk management guide Visual Elements: • Dashed Lines: Order block zones • White/Purple X's: Major pivot points • Orange X's: Potential fake moves • Dynamic support/resistance levels Best Usage Practices: • Most effective on 1H+ timeframes • Focus on major market pairs • Wait for complete signal formation • Combine with trend direction • Monitor volume confirmation • Use proper position sizing The indicator excels at: 1. Identifying potential reversal zones 2. Detecting institutional order blocks 3. Warning of potential fake moves 4. Providing clear entry/exit levels 5. Highlighting strong volume zones Risk Management: • Always wait for signal confirmation • Use appropriate stop loss levels • Consider multiple timeframe analysis • Don't trade against major trends • Monitor volume for validation This indicator combines advanced market structure analysis with volume profiling to help traders identify high-probability trading opportunities while warning of potential traps and fake-outs. Note: Past performance does not guarantee future results. Always use proper risk management techniques.
Pine Script® インジケーター
RickyTSpanishの投稿
FVG LevelsFVG Levels Indicator Description The FVG Levels indicator dynamically identifies and displays key price zones that may represent fair value gaps and order block areas, helping traders to visually pinpoint potential support and resistance levels directly on the chart. Key Features Order Block Identification: The indicator detects bullish and bearish order blocks by analyzing specific candle patterns. For bullish zones, it checks if a candle two bars ago was bullish (close greater than open) coupled with a subsequent gap condition. Similarly, bearish zones are identified when bearish candle conditions are met with an appropriate gap. Dynamic Zone Calculation: It computes critical levels such as the highest highs, lowest lows, highest lows, and lowest highs over a series of recent bars. These levels define the boundaries of potential buy and sell zones and adjust dynamically as new price data comes in. Visual Representation: Buy zones are plotted in lime and sell zones in yellow, with the indicator filling the areas between the high and low lines to create clear, shaded bands. This visual aid helps in quickly recognizing zones of potential price reaction. Chart Overlay: Designed to work as an overlay, the indicator integrates directly onto your price chart, allowing for seamless correlation between price action and identified zones. How It Works Bullish Zones: When a bullish candle (with the candle's close above its open) is detected along with a significant gap, the indicator marks the upper and lower boundaries of the bullish order block. It further refines these levels by tracking the lowest low and highest high over recent bars to enhance the zone's definition. Bearish Zones: In a similar manner, the indicator calculates bearish order blocks by confirming bearish candle conditions and corresponding gap criteria. It then updates the bearish zone levels and computes the highest high and lowest low to establish clear sell zone boundaries. Usage Traders can use the FVG Levels indicator to: Identify potential entry and exit points by observing where price may reverse or consolidate. Recognize fair value gaps or imbalances that often act as magnet points for price action. Enhance risk management by using the dynamically calculated zones to set stop-losses or take-profits.
Pine Script® インジケーター
Takura7の投稿
lib_smcLibrary "lib_smc" This is an adaptation of LuxAlgo's Smart Money Concepts indicator with numerous changes. Main changes include integration of object based plotting, plenty of performance improvements, live tracking of Order Blocks, integration of volume profiles to refine Order Blocks, and many more. This is a library for developers, if you want this converted into a working strategy, let me know. buffer(item, len, force_rotate)   Parameters:      item (float)      len (int)      force_rotate (bool) buffer(item, len, force_rotate)   Parameters:      item (int)      len (int)      force_rotate (bool) buffer(item, len, force_rotate)   Parameters:      item (Profile type from robbatt/lib_profile/32)      len (int)      force_rotate (bool) swings(len)   INTERNAL: detect swing points (HH and LL) in given range   Parameters:      len (simple int) : range to check for new swing points   Returns: values are the price level where and if a new HH or LL was detected, else na method init(this)   Namespace types: OrderBlockConfig   Parameters:      this (OrderBlockConfig) method delete(this)   Namespace types: OrderBlock   Parameters:      this (OrderBlock) method clear_broken(this, broken_buffer)   INTERNAL: delete internal order blocks box coordinates if top/bottom is broken   Namespace types: map   Parameters:      this (map)      broken_buffer (map)   Returns: any_bull_ob_broken, any_bear_ob_broken, broken signals are true if an according order block was broken/mitigated, broken contains the broken block(s) create_ob(id, mode, start_t, start_i, top, end_t, end_i, bottom, break_price, early_confirmation_price, config, init_plot, force_overlay)   INTERNAL: set internal order block coordinates   Parameters:      id (int)      mode (int) : 1: bullish, -1 bearish block      start_t (int)      start_i (int)      top (float)      end_t (int)      end_i (int)      bottom (float)      break_price (float)      early_confirmation_price (float)      config (OrderBlockConfig)      init_plot (bool)      force_overlay (bool)   Returns: signals are true if an according order block was broken/mitigated method align_to_profile(block, align_edge, align_break_price)   Namespace types: OrderBlock   Parameters:      block (OrderBlock)      align_edge (bool)      align_break_price (bool) method create_profile(block, opens, tops, bottoms, closes, values, resolution, vah_pc, val_pc, args, init_calculated, init_plot, force_overlay)   Namespace types: OrderBlock   Parameters:      block (OrderBlock)      opens (array)      tops (array)      bottoms (array)      closes (array)      values (array)      resolution (int)      vah_pc (float)      val_pc (float)      args (ProfileArgs type from robbatt/lib_profile/32)      init_calculated (bool)      init_plot (bool)      force_overlay (bool) method create_profile(block, resolution, vah_pc, val_pc, args, init_calculated, init_plot, force_overlay)   Namespace types: OrderBlock   Parameters:      block (OrderBlock)      resolution (int)      vah_pc (float)      val_pc (float)      args (ProfileArgs type from robbatt/lib_profile/32)      init_calculated (bool)      init_plot (bool)      force_overlay (bool) track_obs(swing_len, hh, ll, top, btm, bull_bos_alert, bull_choch_alert, bear_bos_alert, bear_choch_alert, min_block_size, max_block_size, config_bull, config_bear, init_plot, force_overlay, enabled, extend_blocks, clear_broken_buffer_before, align_edge_to_value_area, align_break_price_to_poc, profile_args_bull, profile_args_bear, use_soft_confirm, soft_confirm_offset, use_retracements_with_FVG_out)   Parameters:      swing_len (int)      hh (float)      ll (float)      top (float)      btm (float)      bull_bos_alert (bool)      bull_choch_alert (bool)      bear_bos_alert (bool)      bear_choch_alert (bool)      min_block_size (float)      max_block_size (float)      config_bull (OrderBlockConfig)      config_bear (OrderBlockConfig)      init_plot (bool)      force_overlay (bool)      enabled (bool)      extend_blocks (simple bool)      clear_broken_buffer_before (simple bool)      align_edge_to_value_area (simple bool)      align_break_price_to_poc (simple bool)      profile_args_bull (ProfileArgs type from robbatt/lib_profile/32)      profile_args_bear (ProfileArgs type from robbatt/lib_profile/32)      use_soft_confirm (simple bool)      soft_confirm_offset (float)      use_retracements_with_FVG_out (simple bool) method draw(this, config, extend_only)   Namespace types: OrderBlock   Parameters:      this (OrderBlock)      config (OrderBlockConfig)      extend_only (bool) method draw(blocks, config)   INTERNAL: plot order blocks   Namespace types: array   Parameters:      blocks (array)      config (OrderBlockConfig) method draw(blocks, config)   INTERNAL: plot order blocks   Namespace types: map   Parameters:      blocks (map)      config (OrderBlockConfig) method cleanup(this, ob_bull, ob_bear)   removes all Profiles that are older than the latest OrderBlock from this profile buffer   Namespace types: array   Parameters:      this (array type from robbatt/lib_profile/32)      ob_bull (OrderBlock)      ob_bear (OrderBlock) _plot_swing_points(mode, x, y, show_swing_points, linecolor_swings, keep_history, show_latest_swings_levels, trail_x, trail_y, trend)   INTERNAL: plot swing points   Parameters:      mode (int) : 1: bullish, -1 bearish block      x (int) : x-coordingate of swing point to plot (bar_index)      y (float) : y-coordingate of swing point to plot (price)      show_swing_points (bool) : switch to enable/disable plotting of swing point labels      linecolor_swings (color) : color for swing point labels and lates level lines      keep_history (bool) : weater to remove older swing point labels and only keep the most recent      show_latest_swings_levels (bool)      trail_x (int) : x-coordinate for latest swing point (bar_index)      trail_y (float) : y-coordinate for latest swing point (price)      trend (int) : the current trend 1: bullish, -1: bearish, to determine Strong/Weak Low/Highs _pivot_lvl(mode, trend, hhll_x, hhll, super_hhll, filter_insignificant_internal_breaks)   INTERNAL: detect whether a structural level has been broken and if it was in trend direction (BoS) or against trend direction (ChoCh), also track the latest high and low swing points   Parameters:      mode (simple int) : detect 1: bullish, -1 bearish pivot points      trend (int) : current trend direction      hhll_x (int) : x-coordinate of newly detected hh/ll (bar_index)      hhll (float) : y-coordinate of newly detected hh/ll (price)      super_hhll (float) : level/y-coordinate of superior hhll (if this is an internal structure pivot level)      filter_insignificant_internal_breaks (bool) : if true pivot points / internal structure will be ignored where the wick in trend direction is longer than the opposite (likely to push further in direction of main trend)   Returns: coordinates of internal structure that has been broken (x,y): start of structure, (trail_x, trail_y): tracking hh/ll after structure break, (bos_alert, choch_alert): signal whether a structural level has been broken _plot_structure(x, y, is_bos, is_choch, line_color, line_style, label_style, label_size, keep_history)   INTERNAL: plot structural breaks (BoS/ChoCh)   Parameters:      x (int) : x-coordinate of newly broken structure (bar_index)      y (float) : y-coordinate of newly broken structure (price)      is_bos (bool) : whether this structural break was in trend direction      is_choch (bool) : whether this structural break was against trend direction      line_color (color) : color for the line connecting the structural level and the breaking candle      line_style (string) : style (line.style_dashed/solid) for the line connecting the structural level and the breaking candle      label_style (string) : style (label.style_label_down/up) for the label above/below the line connecting the structural level and the breaking candle      label_size (string) : size (size.small/tiny) for the label above/below the line connecting the structural level and the breaking candle      keep_history (bool) : weater to remove older swing point labels and only keep the most recent structure_values(length, super_hh, super_ll, filter_insignificant_internal_breaks)   detect (and plot) structural breaks and the resulting new trend   Parameters:      length (simple int) : lookback period for swing point detection      super_hh (float) : level/y-coordinate of superior hh (for internal structure detection)      super_ll (float) : level/y-coordinate of superior ll (for internal structure detection)      filter_insignificant_internal_breaks (bool) : if true pivot points / internal structure will be ignored where the wick in trend direction is longer than the opposite (likely to push further in direction of main trend)   Returns: trend: direction 1:bullish -1:bearish, (bull_bos_alert, bull_choch_alert, top_x, top_y, trail_up_x, trail_up): whether and which level broke in a bullish direction, trailing high, (bbear_bos_alert, bear_choch_alert, tm_x, btm_y, trail_dn_x, trail_dn): same in bearish direction structure_plot(trend, bull_bos_alert, bull_choch_alert, top_x, top_y, trail_up_x, trail_up, hh, bear_bos_alert, bear_choch_alert, btm_x, btm_y, trail_dn_x, trail_dn, ll, color_bull, color_bear, show_swing_points, show_latest_swings_levels, show_bos, show_choch, line_style, label_size, keep_history)   detect (and plot) structural breaks and the resulting new trend   Parameters:      trend (int) : crrent trend 1: bullish, -1: bearish      bull_bos_alert (bool) : if there was a bullish bos alert -> plot it      bull_choch_alert (bool) : if there was a bullish choch alert -> plot it      top_x (int) : latest shwing high x      top_y (float) : latest swing high y      trail_up_x (int) : trailing high x      trail_up (float) : trailing high y      hh (float) : if there was a higher high      bear_bos_alert (bool) : if there was a bearish bos alert -> plot it      bear_choch_alert (bool) : if there was a bearish chock alert -> plot it      btm_x (int) : latest swing low x      btm_y (float) : latest swing low y      trail_dn_x (int) : trailing low x      trail_dn (float) : trailing low y      ll (float) : if there was a lower low      color_bull (color) : color for bullish BoS/ChoCh levels      color_bear (color) : color for bearish BoS/ChoCh levels      show_swing_points (bool) : whether to plot swing point labels      show_latest_swings_levels (bool) : whether to track and plot latest swing point levels with lines      show_bos (bool) : whether to plot BoS levels      show_choch (bool) : whether to plot ChoCh levels      line_style (string) : whether to plot BoS levels      label_size (string) : label size of plotted BoS/ChoCh levels      keep_history (bool) : weater to remove older swing point labels and only keep the most recent structure(length, color_bull, color_bear, super_hh, super_ll, filter_insignificant_internal_breaks, show_swing_points, show_latest_swings_levels, show_bos, show_choch, line_style, label_size, keep_history, enabled)   detect (and plot) structural breaks and the resulting new trend   Parameters:      length (simple int) : lookback period for swing point detection      color_bull (color) : color for bullish BoS/ChoCh levels      color_bear (color) : color for bearish BoS/ChoCh levels      super_hh (float) : level/y-coordinate of superior hh (for internal structure detection)      super_ll (float) : level/y-coordinate of superior ll (for internal structure detection)      filter_insignificant_internal_breaks (bool) : if true pivot points / internal structure will be ignored where the wick in trend direction is longer than the opposite (likely to push further in direction of main trend)      show_swing_points (bool) : whether to plot swing point labels      show_latest_swings_levels (bool) : whether to track and plot latest swing point levels with lines      show_bos (bool) : whether to plot BoS levels      show_choch (bool) : whether to plot ChoCh levels      line_style (string) : whether to plot BoS levels      label_size (string) : label size of plotted BoS/ChoCh levels      keep_history (bool) : weater to remove older swing point labels and only keep the most recent      enabled (bool) _check_equal_level(mode, len, eq_threshold, enabled)   INTERNAL: detect equal levels (double top/bottom)   Parameters:      mode (int) : detect 1: bullish/high, -1 bearish/low pivot points      len (int) : lookback period for equal level (swing point) detection      eq_threshold (float) : maximum price offset for a level to be considered equal      enabled (bool)   Returns: eq_alert whether an equal level was detected and coordinates of the first and the second level/swing point _plot_equal_level(show_eq, x1, y1, x2, y2, label_txt, label_style, label_size, line_color, line_style, keep_history)   INTERNAL: plot equal levels (double top/bottom)   Parameters:      show_eq (bool) : whether to plot the level or not      x1 (int) : x-coordinate of the first level / swing point      y1 (float) : y-coordinate of the first level / swing point      x2 (int) : x-coordinate of the second level / swing point      y2 (float) : y-coordinate of the second level / swing point      label_txt (string) : text for the label above/below the line connecting the equal levels      label_style (string) : style (label.style_label_down/up) for the label above/below the line connecting the equal levels      label_size (string) : size (size.tiny) for the label above/below the line connecting the equal levels      line_color (color) : color for the line connecting the equal levels (and it's label)      line_style (string) : style (line.style_dotted) for the line connecting the equal levels      keep_history (bool) : weater to remove older swing point labels and only keep the most recent equal_levels_values(len, threshold, enabled)   detect (and plot) equal levels (double top/bottom), returns coordinates   Parameters:      len (int) : lookback period for equal level (swing point) detection      threshold (float) : maximum price offset for a level to be considered equal      enabled (bool) : whether detection is enabled   Returns: (eqh_alert, eqh_x1, eqh_y1, eqh_x2, eqh_y2) whether an equal high was detected and coordinates of the first and the second level/swing point, (eql_alert, eql_x1, eql_y1, eql_x2, eql_y2) same for equal lows equal_levels_plot(eqh_x1, eqh_y1, eqh_x2, eqh_y2, eql_x1, eql_y1, eql_x2, eql_y2, color_eqh, color_eql, show, keep_history)   detect (and plot) equal levels (double top/bottom), returns coordinates   Parameters:      eqh_x1 (int) : coordinates of first point of equal high      eqh_y1 (float) : coordinates of first point of equal high      eqh_x2 (int) : coordinates of second point of equal high      eqh_y2 (float) : coordinates of second point of equal high      eql_x1 (int) : coordinates of first point of equal low      eql_y1 (float) : coordinates of first point of equal low      eql_x2 (int) : coordinates of second point of equal low      eql_y2 (float) : coordinates of second point of equal low      color_eqh (color) : color for the line connecting the equal highs (and it's label)      color_eql (color) : color for the line connecting the equal lows (and it's label)      show (bool) : whether plotting is enabled      keep_history (bool) : weater to remove older swing point labels and only keep the most recent   Returns: (eqh_alert, eqh_x1, eqh_y1, eqh_x2, eqh_y2) whether an equal high was detected and coordinates of the first and the second level/swing point, (eql_alert, eql_x1, eql_y1, eql_x2, eql_y2) same for equal lows equal_levels(len, threshold, color_eqh, color_eql, enabled, show, keep_history)   detect (and plot) equal levels (double top/bottom)   Parameters:      len (int) : lookback period for equal level (swing point) detection      threshold (float) : maximum price offset for a level to be considered equal      color_eqh (color) : color for the line connecting the equal highs (and it's label)      color_eql (color) : color for the line connecting the equal lows (and it's label)      enabled (bool) : whether detection is enabled      show (bool) : whether plotting is enabled      keep_history (bool) : weater to remove older swing point labels and only keep the most recent   Returns: (eqh_alert) whether an equal high was detected, (eql_alert) same for equal lows _detect_fvg(mode, enabled, o, h, l, c, filter_insignificant_fvgs, change_tf)   INTERNAL: detect FVG (fair value gap)   Parameters:      mode (int) : detect 1: bullish, -1 bearish gaps      enabled (bool) : whether detection is enabled      o (float) : reference source open      h (float) : reference source high      l (float) : reference source low      c (float) : reference source close      filter_insignificant_fvgs (bool) : whether to calculate and filter small/insignificant gaps      change_tf (bool) : signal when the previous reference timeframe closed, triggers new calculation   Returns: whether a new FVG was detected and its top/mid/bottom levels _clear_broken_fvg(mode, upper_boxes, lower_boxes)   INTERNAL: clear mitigated FVGs (fair value gaps)   Parameters:      mode (int) : detect 1: bullish, -1 bearish gaps      upper_boxes (array) : array that stores the upper parts of the FVG boxes      lower_boxes (array) : array that stores the lower parts of the FVG boxes _plot_fvg(mode, show, top, mid, btm, border_color, extend_box)   INTERNAL: plot (and clear broken) FVG (fair value gap)   Parameters:      mode (int) : plot 1: bullish, -1 bearish gap      show (bool) : whether plotting is enabled      top (float) : top level of fvg      mid (float) : center level of fvg      btm (float) : bottom level of fvg      border_color (color) : color for the FVG box      extend_box (int) : how many bars into the future the FVG box should be extended after detection fvgs_values(o, h, l, c, filter_insignificant_fvgs, change_tf, enabled)   detect (and plot / clear broken) FVGs (fair value gaps), and return alerts and level values   Parameters:      o (float) : reference source open      h (float) : reference source high      l (float) : reference source low      c (float) : reference source close      filter_insignificant_fvgs (bool) : whether to calculate and filter small/insignificant gaps      change_tf (bool) : signal when the previous reference timeframe closed, triggers new calculation      enabled (bool) : whether detection is enabled   Returns: (bullish_fvg_alert, bull_top, bull_mid, bull_btm): whether a new bullish FVG was detected and its top/mid/bottom levels, (bearish_fvg_alert, bear_top, bear_mid, bear_btm): same for bearish FVGs fvgs_plot(bullish_fvg_alert, bull_top, bull_mid, bull_btm, bearish_fvg_alert, bear_top, bear_mid, bear_btm, color_bull, color_bear, extend_box, show)   Parameters:      bullish_fvg_alert (bool)      bull_top (float)      bull_mid (float)      bull_btm (float)      bearish_fvg_alert (bool)      bear_top (float)      bear_mid (float)      bear_btm (float)      color_bull (color) : color for bullish FVG boxes      color_bear (color) : color for bearish FVG boxes      extend_box (int) : how many bars into the future the FVG box should be extended after detection      show (bool) : whether plotting is enabled   Returns: (bullish_fvg_alert, bull_top, bull_mid, bull_btm): whether a new bullish FVG was detected and its top/mid/bottom levels, (bearish_fvg_alert, bear_top, bear_mid, bear_btm): same for bearish FVGs fvgs(o, h, l, c, filter_insignificant_fvgs, change_tf, color_bull, color_bear, extend_box, enabled, show)   detect (and plot / clear broken) FVGs (fair value gaps)   Parameters:      o (float) : reference source open      h (float) : reference source high      l (float) : reference source low      c (float) : reference source close      filter_insignificant_fvgs (bool) : whether to calculate and filter small/insignificant gaps      change_tf (bool) : signal when the previous reference timeframe closed, triggers new calculation      color_bull (color) : color for bullish FVG boxes      color_bear (color) : color for bearish FVG boxes      extend_box (int) : how many bars into the future the FVG box should be extended after detection      enabled (bool) : whether detection is enabled      show (bool) : whether plotting is enabled   Returns: (bullish_fvg_alert): whether a new bullish FVG was detected, (bearish_fvg_alert): same for bearish FVGs OrderBlock   Fields:      id (series int)      dir (series int)      left_top (chart.point)      right_bottom (chart.point)      break_price (series float)      early_confirmation_price (series float)      ltf_high (array)      ltf_low (array)      ltf_volume (array)      plot (Box type from robbatt/lib_plot_objects/49)      profile (Profile type from robbatt/lib_profile/32)      trailing (series bool)      extending (series bool)      awaiting_confirmation (series bool)      touched_break_price_before_confirmation (series bool)      soft_confirmed (series bool)      has_fvg_out (series bool)      hidden (series bool)      broken (series bool) OrderBlockConfig   Fields:      show (series bool)      show_last (series int)      show_id (series bool)      show_profile (series bool)      args (BoxArgs type from robbatt/lib_plot_objects/49)      txt (series string)      txt_args (BoxTextArgs type from robbatt/lib_plot_objects/49)      delete_when_broken (series bool)      broken_args (BoxArgs type from robbatt/lib_plot_objects/49)      broken_txt (series string)      broken_txt_args (BoxTextArgs type from robbatt/lib_plot_objects/49)      broken_profile_args (ProfileArgs type from robbatt/lib_profile/32)      use_profile (series bool)      profile_args (ProfileArgs type from robbatt/lib_profile/32)
Pine Script® ライブラリ
robbattの投稿
15
StO Price Action - OrderblockShort Summary - Displays bullish and bearish Order Blocks on the chart - Highlights active, mitigated, and tapped Order Blocks - Designed for structure- and price-action-based trading Full Description Overview Identifies Order Blocks using pivot-based market structure Bullish Order Blocks originate from down candles before impulsive moves up Bearish Order Blocks originate from up candles before impulsive moves down Order Blocks are visualized as price zones with optional fill and borders Mitigated Order Blocks can be kept visible as historical context Consequent Encroachment (CE) line marks the 50% level of the block Handling Multi-timeframe capable Order Block detection Clear visual distinction between bullish and bearish zones Optional highlighting when price taps an Order Block Supports clean chart layouts with customizable colors and styles Designed to work with discretionary and systematic approaches Usage Select the timeframe used for Order Block detection Adjust pivot lookback to control sensitivity Enable or disable historical (mitigated) Order Blocks Use highlight-on-touch to spot active interactions Apply filters such as minimum body size, ATR displacement or EMA trend Notes Order Blocks do not predict direction, they mark areas of interest Once detected, Order Blocks remain static and do not repaint Higher pivot lengths produce fewer but stronger Order Blocks ATR and body-percentage filters reduce noise in ranging markets Best combined with market structure, liquidity or entry confirmation tools
Pine Script® インジケーター
sto_svcの投稿
Ict + Alert (Realtime) - Optimized v2📊 Description This indicator implements the ICT (Inner Circle Trader) strategy using Fair Order Blocks (FOB) to identify demand and supply zones in the market. Optimized for XAUUSD (Gold) trading with real-time alerts. 🎯 How It Works The indicator analyzes price movements to identify: Bullish Fair Order Blocks: Zones where price left uncovered liquidity (gap) during an upward movement Bearish Fair Order Blocks: Zones where price left uncovered liquidity during a downward movement When price returns to these zones, the indicator generates: 📦 Colored boxes on the chart (green for long, red for short) 🔔 Real-time alerts with automatically calculated Entry, Stop Loss, and Take Profit 📍 Visual signals (triangles) to easily spot trading opportunities ⚙️ Key Features Smart Alerts Realtime: receive instant notifications when a setup forms Configurable Risk/Reward: set your preferred risk/reward ratio (default 1:3) Session filter: focus signals during London (08:00-10:00) and New York (14:30-16:30) sessions Stop Loss with buffer: configurable additional protection Operating Modes Realtime Mode: immediate alerts as soon as condition triggers (faster) Confirmation Mode: alerts only on bar close (more reliable) Visualization FOB boxes with adjustable transparency Optional midline to identify precise entry Visual indicators (triangles) for long/short signals
Pine Script® インジケーター
Mallakの投稿
Red Bull Wings [JOAT]RED BULL WINGS - Bullish-Only Institutional Overlay Introduction and Purpose RED BULL WINGS is an open-source overlay indicator that combines five distinct bullish detection methods into a single composite scoring system. The core problem this indicator solves is that individual bullish signals (patterns, volume, zones, trendlines) often disagree or fire in isolation. A bullish engulfing pattern means little if volume is weak and price is far from support. Traders need confluence across multiple dimensions to identify high-probability setups. This indicator addresses that by scoring each bullish component separately, then combining them into a weighted WINGS score (0-100) that reflects overall bullish conviction. When multiple components align, the score rises; when they disagree, the score stays low. Why These Five Modules Work Together Each module measures a different aspect of bullish market structure: 1. Module A - Bullish Candlestick Engine - Detects classic reversal patterns (engulfing, marubozu, hammer, 3-bar cluster). These patterns identify WHERE buyers are stepping in. 2. Module B - PVSRA Volume Climax - Measures spread x volume to detect institutional participation. This tells you WHETHER smart money is involved. 3. Module C - Demand Zone Detection - Identifies and tracks order block zones where buyers previously overwhelmed sellers. This shows you WHERE institutional support exists. 4. Module D - Trendline Channel - Builds dynamic support/resistance from pivot points. This reveals the STRUCTURE of the current trend. 5. Module E - Ichimoku Assist - Optional filter using Tenkan/Kijun cross, cloud position, and Chikou confirmation. This provides TREND PERMISSION context. The combination works because: Patterns alone can fail without volume confirmation Volume alone means nothing without price structure context Zones alone are static without pattern/volume triggers Trendlines alone miss the micro-level entry timing When 3+ modules agree, the probability of a valid bullish setup increases significantly How the Calculations Work Module A - Pattern Detection: Bullish Engulfing - Current bullish bar completely engulfs prior bearish bar: bool engulfingCond = isBullish() and isBearish() and open <= close and close >= open and bodySize() > bodySize() Marubozu - Strong body with minimal wicks (body >= 1.8x average, wick ratio < 20%): float wickRatio = candleRange() > 0 ? (upperWick() + lowerWick()) / candleRange() : 0 bool marubozuCond = isBullish() and bodySize() >= bodySizeAvg * i_maruMult and wickRatio < i_wickRatioMax Hammer - Long lower wick (>= 2.5x body), close in upper third, volume confirmation: bool hammerWick = lowerWick() >= i_hammerWickMult * bodySize() bool hammerClose = close >= low + (candleRange() * 0.66) bool hammerVol = volume >= i_pvsraRisingMult * volAvg 3-Bar Cluster - Three consecutive bullish closes with increasing prices and volume spike: bool threeBarBullish = isBullish() and isBullish() and isBullish() bool increasingCloses = close > close and close > close bool volSpike3Bar = volume >= i_pvsraRisingMult * volAvg or volume >= i_pvsraRisingMult * volAvg Module B - PVSRA Volume Analysis: Uses spread x volume to detect climax conditions: float spreadVol = candleRange() * volume float maxSpreadVol = ta.highest(spreadVol, ADJ_PVSRA_LOOKBACK) bool volClimax = volume >= i_pvsraClimaxMult * volAvg or spreadVol >= maxSpreadVol bool volRising = volume >= i_pvsraRisingMult * volAvg and volume < i_pvsraClimaxMult * volAvg Volume only scores when the candle is bullish, preventing false signals on bearish volume spikes. Module C - Demand Zone Detection: Identifies zones using a two-candle structure: // Small bearish candle A followed by larger bullish candle B bool candleA_bearish = isBearish() bool candleB_bullish = isBullish() bool newZoneCond = candleA_bearish and candleB_bullish and candleB_size >= i_zoneSizeMult * candleA_size Zones are drawn as rectangles and tracked for retests. Score increases when price is near or inside an active zone, with bonus points for rejection candles. Module D - Trendline Channel: Builds dynamic channel from confirmed pivot points: float ph = ta.pivothigh(high, i_pivotLeft, i_pivotRight) float pl = ta.pivotlow(low, i_pivotLeft, i_pivotRight) Pivots are stored and connected to form upper/lower channel lines. The indicator detects breakouts when price closes beyond the channel with volume confirmation. Module E - Ichimoku Assist: Standard Ichimoku calculations with bullish scoring: float tenkan = (ta.highest(high, i_tenkanLen) + ta.lowest(low, i_tenkanLen)) / 2 float kijun = (ta.highest(high, i_kijunLen) + ta.lowest(low, i_kijunLen)) / 2 bool tkCross = ta.crossover(tenkan, kijun) bool priceAboveCloud = close > cloudTop bool chikouAbovePrice = chikou > close Module F - WINGS Composite Score: All module scores are combined using adjustable weights: float WINGS_score = 100 * (nW_pattern * S_pattern + nW_volume * S_vol + nW_zone * S_zone + nW_trend * S_trend + nW_ichi * S_ichi) Default weights: Pattern 30%, Volume 25%, Zone 20%, Trend 15%, Ichimoku 10%. Signal Thresholds WATCH (30-49) - Interesting bullish context forming, not yet actionable MOMENTUM (50-74) - Strong bullish conditions, multiple modules agreeing LIFT-OFF (75+) - High-confidence bullish confluence across most modules WINGS Badge (Dashboard) The right-side panel displays: WINGS Score - Current composite score (0-100) Pattern - Active pattern name and strength, or neutral placeholder Volume - Normal / Rising / CLIMAX status Zone - ACTIVE if price is near a demand zone Trend - Channel position or BREAK status Ichimoku - OFF / Weak / Bullish / STRONG Status - Overall signal level (Neutral / WATCH / MOMENTUM / LIFT-OFF) Input Parameters Module Toggles: Enable Bullish Patterns (true) - Toggle pattern detection Enable PVSRA Volume (true) - Toggle volume analysis Enable Order Blocks (true) - Toggle demand zone detection Enable Trendlines (true) - Toggle pivot channel Enable Ichimoku Assist (false) - Toggle Ichimoku filter (off by default for performance) Enable Visual Effects (false) - Toggle labels, trails, and visual elements LIVE MODE (false) - Enable intrabar signals (WARNING: signals may repaint) Pattern Engine: Pattern Lookback (5) - Bars for body size averaging Marubozu Body Multiplier (1.8) - Minimum body size vs average Hammer Wick Multiplier (2.5) - Minimum lower wick vs body Max Wick Ratio (0.2) - Maximum wick percentage for marubozu Volume / PVSRA: PVSRA Lookback (10) - Period for volume averaging Climax Multiplier (2.0) - Volume threshold for climax detection Rising Volume Multiplier (1.5) - Volume threshold for rising detection Order Blocks: Zone Size Multiplier (2.0) - Minimum bullish candle size vs bearish Zone Extend Bars (200) - How far zones project forward Max Zones (12) - Maximum active zones displayed Remove Zone on Close Below (true) - Delete broken zones Trendlines: Pivot Left/Right Bars (3/3) - Pivot detection sensitivity Min Slope % (0.25) - Minimum trendline angle Max Trendlines (5) - Maximum pivot points stored Trendline Projection Bars (60) - Forward projection distance Ichimoku: Tenkan Length (9) - Conversion line period Kijun Length (26) - Base line period Senkou B Length (52) - Leading span B period Displacement (26) - Cloud displacement WINGS Score: Weight: Pattern (0.30) - Pattern contribution to score Weight: Volume (0.25) - Volume contribution to score Weight: Zone (0.20) - Zone contribution to score Weight: Trend (0.15) - Trendline contribution to score Weight: Ichimoku (0.10) - Ichimoku contribution to score Lift-Off Threshold (75) - Score required for LIFT-OFF signal Momentum Watch Threshold (50) - Score required for MOMENTUM signal Visuals: Signal Cooldown (8) - Minimum bars between labels Show WINGS Score Badge (true) - Toggle dashboard Show Wing Combos (true) - Show DOUBLE/MEGA WINGS streaks Red Background Wash (true) - Tint chart background Show Lift-Off Trails (false) - Toggle golden trail visuals How to Use This Indicator For Bullish Entry Identification: 1. Monitor the WINGS badge for score changes 2. Wait for MOMENTUM (50+) or LIFT-OFF (75+) signals 3. Check which modules are contributing (Pattern + Volume + Zone = stronger) 4. Use demand zones and trendlines as structural reference for entries For Confluence Confirmation: 1. Use alongside your existing analysis 2. LIFT-OFF signals indicate multiple bullish factors aligning 3. Low scores (< 30) suggest weak bullish context even if one factor looks good For Zone-Based Trading: 1. Watch for price approaching active demand zones 2. Look for pattern + volume confirmation at zone retests 3. Zone score increases with successful retests For Trendline Analysis: 1. Monitor the pivot-based channel for trend structure 2. Breakouts with volume confirmation trigger TREND BREAK alerts 3. Price inside channel with bullish patterns = trend continuation setup 1M and lower timeframes: Alerts Available LIFT-OFF - High-confidence bullish confluence MOMENTUM - Strong bullish conditions Zone Retest - Bullish rejection from demand zone Trendline Break - Breakout with volume confirmation Individual patterns (Engulfing, Marubozu, Hammer, 3-Bar Cluster) Volume Climax - Institutional volume spike DOUBLE WINGS / MEGA WINGS - Consecutive lift-off signals Repainting Behavior By default, the indicator uses confirmed bars only (barstate.isconfirmed), meaning signals appear after the bar closes and do not repaint. However: LIVE MODE - When enabled, signals can appear intrabar but may disappear if conditions change before bar close. A warning label displays when LIVE MODE is active. Trendlines - Pivot detection requires lookback bars, so the most recent trendline segments may adjust as new pivots confirm. This is inherent to pivot-based analysis. Demand Zones - Zones are created on confirmed bars and do not repaint, but they can be removed if price closes below the zone bottom (configurable). Live Mode with 'Enable Visual Effect' turned off in settings: Limitations This is a bullish-only indicator. It does not detect bearish setups or provide short signals. The WINGS score is a confluence measure, not a prediction. High scores indicate favorable conditions, not guaranteed outcomes. Pattern detection uses simplified logic. Not all candlestick nuances are captured. Volume analysis requires reliable volume data. Results may vary on instruments with inconsistent volume reporting. Ichimoku calculations add processing overhead. Disable if not needed. Demand zones are based on a specific two-candle structure. Other valid zones may not be detected. Trendlines use linear regression between pivots. Curved or complex channels are not supported. Timeframe Recommendations 15m-1H: More frequent signals, useful for intraday analysis. Higher noise. 4H-Daily: Best balance of signal quality and frequency for swing trading. Weekly: Fewer but more significant signals for position trading. Adjust lookback periods and thresholds based on your timeframe. Shorter timeframes may benefit from shorter lookbacks. Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each module works. This indicator does not constitute financial advice. The WINGS score and signals do not guarantee profitable trades. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. Test thoroughly on your preferred instruments and timeframes before using in live trading. - Made with passion by officialjackofalltrades
Pine Script® インジケーター
officialjackofalltradesの投稿
Smart Money Concepts [Modern Neon V2]This is a visually overhauled version of the popular Smart Money Concepts (SMC) indicator, designed specifically for traders who prefer Dark Mode, High Contrast, and Maximum Visibility. While the underlying logic preserves the robust structure detection of the original LuxAlgo script, the visual presentation has been completely modernized. The default "dull" colors have been replaced with a vibrant Cyberpunk Neon palette, and text labels have been significantly upscaled to ensure market structure is readable at a glance, even on high-resolution monitors. 🎨 Visual & Style Enhancements: Neon Palette: Bullish: Electric Cyan (#00F5FF) Bearish: Neon Hot Pink (#FF007F) Neutral/Levels: Bright Gold (#FFD700) High Visibility Text: Market Structure labels (BOS, CHoCH, HH/LL) have been upgraded from "Tiny" to Normal size. Key Swing Points (Strong High/Low) are set to Large. Modern "Solid" Blocks: Order Blocks and FVGs feature reduced transparency (60%) for a bolder, solid look that doesn't get washed out on dark backgrounds. Decluttered: Removed unnecessary "Small" elements and dotted lines to focus on price action. 🛠 Key Features: Real-Time Structure: Automatic detection of Internal and Swing structure (BOS & CHoCH) with trend coloring. Order Blocks: Highlights Bullish and Bearish Order Blocks with new mitigation logic. Fair Value Gaps (FVG): Auto-threshold detection for high-probability gaps. Premium & Discount Zones: Automatically plots equilibrium zones for better entry targeting. Multi-Timeframe Levels: Display Daily, Weekly, and Monthly highs/lows. Trend Dashboard: (If you added the dashboard code) A clean panel displaying the current Internal and Swing trend bias. CREDITS & LICENSE: This script is a modification of the "Smart Money Concepts " indicator. Original Author: © LuxAlgo License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
Pine Script® インジケーター
GoldCurryの投稿
2
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator Overview The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities. Key Features 🎥 Camera & Projection Controls Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions Pro Tip: Increase Z-scale to amplify terrain features for better visibility 🌐 Grid & Surface Configuration Resolution: Adjust X (16-64) and Y (12-48) grid density Visual Elements: Toggle surface fill, wireframe, and node markers Optimization: Higher resolution provides more detail but requires more processing power 📊 Data Integration Lookback Period: 50-500 bars of historical analysis Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids Weighted Analysis: Each data source contributes proportionally to the terrain height How to Use the Frontend 💛 Price Line Tracking (Your Primary Focus) The yellow price line is your most important guide: Monitor Price Movement: Track how the yellow line interacts with the 3D terrain Identify Key Levels: Watch for these critical interactions: Order Blocks (Green/Red Zones): When yellow price line enters green zones = Bullish order block When yellow price line enters red zones = Bearish order block These represent institutional accumulation/distribution areas Liquidity Voids (Yellow Zones): When yellow price line enters yellow void areas = Potential acceleration zones Voids indicate price gaps where minimal trading occurred Price often moves rapidly through voids toward next liquidity pool Terrain Reading: High Terrain Peaks: High volume/interest areas (support/resistance) Low Terrain Valleys: Low volume areas (potential breakout zones) Color Coding: Green terrain = Bullish volume dominance Red terrain = Bearish volume dominance Purple = Neutral/transition areas 📈 Volume Profile Integration POC (Point of Control): Automatically marks highest volume level Volume Bins: Adjust granularity (10-50 bins) Height Weight: Control how much volume affects terrain elevation 🏛️ Order Block Detection Detection Length: 5-50 bar lookback for block identification Strength Weighting: Recent blocks have greater impact on terrain Candle Body Option: Use full candles or body-only for block definition 💧 Liquidity Zone Tracking Multiple Levels: Track 3-10 key liquidity zones Buy/Sell Side: Different colors for bid/ask liquidity Strength Decay: Older zones have diminishing terrain impact 🌊 Liquidity Void Identification Threshold Multiplier: Adjust sensitivity (0.5-2.0) Height Amplification: Voids create significant terrain depressions Acceleration Zones: Price typically moves quickly through void areas Practical Trading Application Bullish Scenario: Yellow price line approaches green order block terrain Price finds support in elevated bullish volume areas Terrain shows consistent elevation through key levels Bearish Scenario: Yellow price line struggles at red order block resistance Price falls through liquidity voids toward lower terrain Bearish volume peaks dominate the landscape Breakout Setup: Yellow price line consolidates in flat terrain Minimal resistance (low terrain) in projected direction Clear path toward distant liquidity zones Pro Tips Start Simple: Begin with default settings, then gradually customize Focus on Yellow Line: Your primary indicator of current price position Combine Timeframes: Use the same terrain across multiple timeframes for confluence Volume Confirmation: Ensure terrain peaks align with actual volume spikes Void Anticipation: When price enters voids, prepare for potential rapid movement Order Blocks & Voids Architecture Order Blocks Calculation Trigger: Price breaks fractal swing points Bullish OB: When close > swing high → find lowest low in lookback period Bearish OB: When close < swing low → find highest high in lookback period Strength: Based on price distance from block extremes Storage: Global array maintains last 50 blocks with FIFO management Liquidity Voids Detection Trigger: Price gaps exceeding ATR threshold Bull Void: Low - high > (ATR200 × multiplier) Bear Void: Low - high > (ATR200 × multiplier) Validation: Close confirms gap direction Storage: Global array maintains last 30 voids Key Design Features Real-time Updates: Calculated every bar, not just on last bar Global Persistence: Arrays maintain state across executions FIFO Management: Automatic cleanup of oldest entries Configurable Sensitivity: Adjustable lookback periods and thresholds Scientific Testing Framework Hypothesis Testing Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts Testable Metrics: Prediction Accuracy: Does terrain structure predict future support/resistance? Reaction Time: Faster identification of key levels vs conventional methods False Positive Reduction: Lower rate of failed breakouts/breakdowns Control Variables Market Regime: Trending vs ranging conditions Asset Classes: Forex, equities, cryptocurrencies Timeframes: M5 to H4 for intraday, D1 for swing Volume Conditions: High vs low volume environments Data Collection Protocol Terrain Features to Quantify: Slope gradient changes at price inflection points Volume peak clustering density Order block terrain elevation vs subsequent price action Void depth correlation with momentum acceleration Control Group: Traditional support/resistance + volume profile Experimental Group: 3D Institutional Flow Terrain Statistical Measures Signal-to-Noise Ratio: Terrain features vs random price movements Lead Time: Terrain formation ahead of price confirmation Effect Size: Performance difference between groups (Cohen's d) Statistical Power: Sample size requirements for significance Validation Methodology Blind Testing: Remove price labels from terrain screenshots Have traders identify key levels from terrain alone Measure accuracy vs actual price action Backtesting Framework: Automated terrain feature extraction Correlation with future price reversals/breakouts Monte Carlo simulation for significance testing Expected Outcomes If hypothesis valid: Significant improvement in level prediction accuracy (p < 0.05) Reduced latency in institutional level identification Higher risk-reward ratios on terrain-confirmed trades Research Questions: Does terrain elevation reliably indicate institutional interest zones? Are liquidity voids statistically significant momentum predictors? Does multi-timeframe terrain analysis improve signal quality? How does terrain persistence correlate with level strength? LuxAlgo BigBeluga hapharmonic
Pine Script® インジケーター
SurgeGuruの投稿
2