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MTF ohlc S/RA very simple idea, a close (or high, low, ohlc4 or open) from a higher Time Frame will give future Support/Resistance area's In this example of BTC/USD we see: - Yearly close 2017 gave Resistance in June 2019 - Yearly close 2018 gave Support in March 2020 We are now pushing to the Resistance of Yearly close 2019... Since there is a limit for the amount of lines (since it is just too much if everything is plotted) there are different options: - 4 different Time Frames, each can be enabled/disabled, - TF can be chosen, - source can be changed (close, open, high, low, ohlc4) - Period can be changed, for example TF Month: You can choose just to show a particular year, Month,... You also can choose between which prices you want to see lines, for example Monthly close, since the beginning till now, but only between $6000 - $8000: This helps to know the closest S/R around the present price Other example: - Lines can be extended to the right, or not - Labels can be enabled/disabled: - Linewidth and brightness of the line can be changed, also the style (solid, dashed or dotted line) Default only 2 very high TF's are enabled (3 Month = one quarter, and 1 Year) The 3 Month has a dotted line, which helps distinguish the line against the yearly line - Prices above 1000 are rounded since it seems distracting to see for example 6478,878654, seems better just to see 6479, prices below 1000 are just seen as intended Have fun!
Pine Script® göstergesi
fikira tarafından
11
MTF Damiani Volatmeter v3.2Damiani_volatmeter.mq4 v3.2 | Copyright © 2006,2007 Luis Guilherme Damiani | It is a transplant of an indicator to judge the range market price. The original is judged by the two curves, but this indicator shows the difference between the two curves. If it is 0 or less, it can be judged as a range. The red and green lines show the strength of this hourly trend, and if the range is below zero, the background is painted red. The blue and orange lines indicate the strength of the trend of the upper leg, and if the market price is below zero, the background is painted blue. I think that the background color will be purple if the market price is both strong and below zero. レンジ相場を判定するインジケーターを移植したものです。 本来のものは２本の曲線で判断するのですが、このインジケーターでは２本の曲線の差を表示しています。 0以下ならレンジと判定できます。 赤と緑の線はこの時間足のトレンドの強さを示し、ゼロ以下のレンジ相場なら、背景を赤く塗っています。 青とオレンジ色の線は上位足のトレンドの強さを示し、ゼロ以下のレンジ相場なら、背景を青く塗っています。 両方ゼロ以下の強いレンジ相場なら背景色が紫色のなると思います。
Pine Script® göstergesi
xinolia tarafından
4
MTF CMO (Chande Momentum Oscillator)Simple Multi-Timeframe version of the Chande Momentum Oscillator . Many thanks to HPotter whos script I used as a starting point. This displays 1, 2, 3, 4, and 24 period CMOs on the graph. 1, 2, 3, and 4 periods are smoothed by using their simple moving averages. 24 period is unsmoothed. I prefer to set my chart to a 1 hour timeframe and look for bottoming or topping patterns in the momentum. Strongest topping or bottoming patterns are when all timeframes roll over including the 24 period.
Pine Script® göstergesi
KryptoSpartan tarafından
MTF Previous Open/Close/RangeThis indicator will simply plot on your chart the Daily/Weekly/Monthly previous candle levels. The "Auto" mode will allow automatic adjustment of timeframe displayed according to your chart. Otherwise you can select manually. Indicator plots the open/close and colors the high-low range area in the background. Hope this simple indicator will help you ! You can check my indicators via my TradingView's Profile : @PRO_Indicators
Pine Script® göstergesi
PRO_Indicators tarafından
6
FVG Premium [no1x]█ OVERVIEW This indicator provides a comprehensive toolkit for identifying, visualizing, and tracking Fair Value Gaps (FVGs) across three distinct timeframes (current chart, a user-defined Medium Timeframe - MTF, and a user-defined High Timeframe - HTF). It is designed to offer traders enhanced insight into FVG dynamics through detailed state monitoring (formation, partial fill, full mitigation, midline touch), extensive visual customization for FVG representation, and a rich alert system for timely notifications on FVG-related events. █ CONCEPTS This indicator is built upon the core concept of Fair Value Gaps (FVGs) and their significance in price action analysis, offering a multi-layered approach to their detection and interpretation across different timeframes. Fair Value Gaps (FVGs) A Fair Value Gap (FVG), also known as an imbalance, represents a range in price delivery where one side of the market (buying or selling) was more aggressive, leaving an inefficiency or an "imbalance" in the price action. This concept is prominently featured within Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies, where such gaps are often interpreted as footprints left by "smart money" due to rapid, forceful price movements. These methodologies suggest that price may later revisit these FVG zones to rebalance a prior inefficiency or to seek liquidity before continuing its path. These gaps are typically identified by a three-bar pattern: Bullish FVG : This is a three-candle formation where the second candle shows a strong upward move. The FVG is the space created between the high of the first candle (bottom of FVG) and the low of the third candle (top of FVG). This indicates a strong upward impulsive move. Bearish FVG : This is a three-candle formation where the second candle shows a strong downward move. The FVG is the space created between the low of the first candle (top of FVG) and the high of the third candle (bottom of FVG). This indicates a strong downward impulsive move. FVGs are often watched by traders as potential areas where price might return to "rebalance" or find support/resistance. Multi-Timeframe (MTF) Analysis The indicator extends FVG detection beyond the current chart's timeframe (Low Timeframe - LTF) to two higher user-defined timeframes: Medium Timeframe (MTF) and High Timeframe (HTF). This allows traders to: Identify FVGs that might be significant on a broader market structure. Observe how FVGs from different timeframes align or interact. Gain a more comprehensive perspective on potential support and resistance zones. FVG State and Lifecycle Management The indicator actively tracks the lifecycle of each detected FVG: Formation : The initial identification of an FVG. Partial Fill (Entry) : When price enters but does not completely pass through the FVG. The indicator updates the "current" top/bottom of the FVG to reflect the filled portion. Midline (Equilibrium) Touch : When price touches the 50% level of the FVG. Full Mitigation : When price completely trades through the FVG, effectively "filling" or "rebalancing" the gap. The indicator records the mitigation time. This state tracking is crucial for understanding how price interacts with these zones. FVG Classification (Large FVG) FVGs can be optionally classified as "Large FVGs" (LV) if their size (top to bottom range) exceeds a user-defined multiple of the Average True Range (ATR) for that FVG's timeframe. This helps distinguish FVGs that are significantly larger relative to recent volatility. Visual Customization and Information Delivery A key concept is providing extensive control over how FVGs are displayed. This control is achieved through a centralized set of visual parameters within the indicator, allowing users to configure numerous aspects (colors, line styles, visibility of boxes, midlines, mitigation lines, labels, etc.) for each timeframe. Additionally, an on-chart information panel summarizes the nearest unmitigated bullish and bearish FVG levels for each active timeframe, providing a quick glance at key price points. █ FEATURES This indicator offers a rich set of features designed to provide a highly customizable and comprehensive Fair Value Gap (FVG) analysis experience. Users can tailor the FVG detection, visual representation, and alerting mechanisms across three distinct timeframes: the current chart (Low Timeframe - LTF), a user-defined Medium Timeframe (MTF), and a user-defined High Timeframe (HTF). Multi-Timeframe FVG Detection and Display The core strength of this indicator lies in its ability to identify and display FVGs from not only the current chart's timeframe (LTF) but also from two higher, user-selectable timeframes (MTF and HTF). Timeframe Selection: Users can specify the exact MTF (e.g., "60", "240") and HTF (e.g., "D", "W") through dedicated inputs in the "MTF (Medium Timeframe)" and "HTF (High Timeframe)" settings groups. The visibility of FVGs from these higher timeframes can be toggled independently using the "Show MTF FVGs" and "Show HTF FVGs" checkboxes. Consistent Detection Logic: The FVG detection logic, based on the classic three-bar imbalance pattern detailed in the 'Concepts' section, is applied consistently across all selected timeframes (LTF, MTF, HTF) Timeframe-Specific Visuals: Each timeframe's FVGs (LTF, MTF, HTF) can be customized with unique colors for bullish/bearish states and their mitigated counterparts. This allows for easy visual differentiation of FVGs originating from different market perspectives. Comprehensive FVG Visualization Options The indicator provides extensive control over how FVGs are visually represented on the chart for each timeframe (LTF, MTF, HTF). FVG Boxes: Visibility: Main FVG boxes can be shown or hidden per timeframe using the "Show FVG Boxes" (for LTF), "Show Boxes" (for MTF/HTF) inputs. Color Customization: Colors for bullish, bearish, active, and mitigated FVG boxes (including Large FVGs, if classified) are fully customizable for each timeframe. Box Extension & Length: FVG boxes can either be extended to the right indefinitely ("Extend Boxes Right") or set to a fixed length in bars ("Short Box Length" or "Box Length" equivalent inputs). Box Labels: Optional labels can display the FVG's timeframe and fill percentage on the box. These labels are configurable for all timeframes (LTF, MTF, and HTF). Please note: If FVGs are positioned very close to each other on the chart, their respective labels may overlap. This can potentially lead to visual clutter, and it is a known behavior in the current version of the indicator. Box Borders: Visibility, width, style (solid, dashed, dotted), and color of FVG box borders are customizable per timeframe. Midlines (Equilibrium/EQ): Visibility: The 50% level (midline or EQ) of FVGs can be shown or hidden for each timeframe. Style Customization: Width, style, and color of the midline are customizable per timeframe. The indicator tracks if this midline has been touched by price. Mitigation Lines: Visibility: Mitigation lines (representing the FVG's opening level that needs to be breached for full mitigation) can be shown or hidden for each timeframe. If shown, these lines are always extended to the right. Style Customization: Width, style, and color of the mitigation line are customizable per timeframe. Mitigation Line Labels: Optional price labels can be displayed on mitigation lines, with a customizable horizontal bar offset for positioning. For optimal label placement, the following horizontal bar offsets are recommended: 4 for LTF, 8 for MTF, and 12 for HTF. Persistence After Mitigation: Users can choose to keep mitigation lines visible even after an FVG is fully mitigated, with a distinct color for such lines. Importantly, this option is only effective if the general setting 'Hide Fully Mitigated FVGs' is disabled, as otherwise, the entire FVG and its lines will be removed upon mitigation. FVG State Management and Behavior The indicator tracks and visually responds to changes in FVG states. Hide Fully Mitigated FVGs: This option, typically found in the indicator's general settings, allows users to automatically remove all visual elements of an FVG from the chart once price has fully mitigated it. This helps maintain chart clarity by focusing on active FVGs. Partial Fill Visualization: When price enters an FVG, the indicator offers a dynamic visual representation: the portion of the FVG that has been filled is shown as a "mitigated box" (typically with a distinct color), while the original FVG box shrinks to clearly highlight the remaining, unfilled portion. This two-part display provides an immediate visual cue about how much of the FVG's imbalance has been addressed and what potential remains within the gap. Visual Filtering by ATR Proximity: To help users focus on the most relevant price action, FVGs can be dynamically hidden if they are located further from the current price than a user-defined multiple of the Average True Range (ATR). This behavior is controlled by the "Filter Band Width (ATR Multiple)" input; setting this to zero disables the filter entirely, ensuring all detected FVGs remain visible regardless of their proximity to price. Alternative Usage Example: Mitigation Lines as Key Support/Resistance Levels For traders preferring a minimalist chart focused on key Fair Value Gap (FVG) levels, the indicator's visualization settings can be customized to display only FVG mitigation lines. This approach leverages these lines as potential support and resistance zones, reflecting areas where price might revisit to address imbalances. To configure this view: Disable FVG Boxes: Turn off "Show FVG Boxes" (for LTF) or "Show Boxes" (for MTF/HTF) for the desired timeframes. Hide Midlines: Disable the visibility of the 50% FVG Midlines (Equilibrium/EQ). Ensure Mitigation Lines are Visible: Keep "Mitigation Lines" enabled. Retain All Mitigation Lines: Disable the "Hide Fully Mitigated FVGs" option in the general settings. Enable the feature to "keep mitigation lines visible even after an FVG is fully mitigated". This ensures lines from all FVGs (active or fully mitigated) remain on the chart, which is only effective if "Hide Fully Mitigated FVGs" is disabled. This setup offers: A Decluttered Chart: Focuses solely on the FVG opening levels. Precise S/R Zones: Treats mitigation lines as specific points for potential price reactions. Historical Level Analysis: Includes lines from past, fully mitigated FVGs for a comprehensive view of significant price levels. For enhanced usability with this focused view, consider these optional additions: The on-chart Information Panel can be activated to display a quick summary of the nearest unmitigated FVG levels. Mitigation Line Labels can also be activated for clear price level identification. A customizable horizontal bar offset is available for positioning these labels; for example, offsets of 4 for LTF, 8 for MTF, and 12 for HTF can be effective. FVG Classification (Large FVG) This feature allows for distinguishing FVGs based on their size relative to market volatility. Enable Classification: Users can enable "Classify FVG (Large FVG)" to identify FVGs that are significantly larger than average. ATR-Based Threshold: An FVG is classified as "Large" if its height (price range) is greater than or equal to the Average True Range (ATR) of its timeframe multiplied by a user-defined "Large FVG Threshold (ATR Multiple)". The ATR period for this calculation is also configurable. Dedicated Colors: Large FVGs (both bullish/bearish and active/mitigated) can be assigned unique colors, making them easily distinguishable on the chart. Panel Icon: Large FVGs are marked with a special icon in the Info Panel. Information Panel An on-chart panel provides a quick summary of the nearest unmitigated FVG levels. Visibility and Position: The panel can be shown/hidden and positioned in any of the nine standard locations on the chart (e.g., Top Right, Middle Center). Content: It displays the price levels of the nearest unmitigated bullish and bearish FVGs for LTF, MTF (if active), and HTF (if active). It also indicates if these nearest FVGs are Large FVGs (if classification is enabled) using a selectable icon. Styling: Text size, border color, header background/text colors, default text color, and "N/A" cell background color are customizable. Highlighting: Background and text colors for the cells displaying the overall nearest bullish and bearish FVG levels (across all active timeframes) can be customized to draw attention to the most proximate FVG. Comprehensive Alert System The indicator offers a granular alert system for various FVG-related events, configurable for each timeframe (LTF, MTF, HTF) independently. Users can enable alerts for: New FVG Formation: Separate alerts for new bullish and new bearish FVG formations. FVG Entry/Partial Fill: Separate alerts for price entering a bullish FVG or a bearish FVG. FVG Full Mitigation: Separate alerts for full mitigation of bullish and bearish FVGs. FVG Midline (EQ) Touch: Separate alerts for price touching the midline of a bullish or bearish FVG. Alert messages are detailed, providing information such as the timeframe, FVG type (bull/bear, Large FVG), relevant price levels, and timestamps. █ NOTES This section provides additional information regarding the indicator's usage, performance considerations, and potential interactions with the TradingView platform. Understanding these points can help users optimize their experience and troubleshoot effectively. Performance and Resource Management Maximum FVGs to Track : The "Max FVGs to Track" input (defaulting to 25) limits the number of FVG objects processed for each category (e.g., LTF Bullish, MTF Bearish). Increasing this value significantly can impact performance due to more objects being iterated over and potentially drawn, especially when multiple timeframes are active. Drawing Object Limits : To manage performance, this script sets its own internal limits on the number of drawing objects it displays. While it allows for up to approximately 500 lines (max_lines_count=500) and 500 labels (max_labels_count=500), the number of FVG boxes is deliberately restricted to a maximum of 150 (max_boxes_count=150). This specific limit for boxes is a key performance consideration: displaying too many boxes can significantly slow down the indicator, and a very high number is often not essential for analysis. Enabling all visual elements for many FVGs across all three timeframes can cause the indicator to reach these internal limits, especially the stricter box limit Optimization Strategies : To help you manage performance, reduce visual clutter, and avoid exceeding drawing limits when using this indicator, I recommend the following strategies: Maintain or Lower FVG Tracking Count: The "Max FVGs to Track" input defaults to 25. I find this value generally sufficient for effective analysis and balanced performance. You can keep this default or consider reducing it further if you experience performance issues or prefer a less dense FVG display. Utilize Proximity Filtering: I suggest activating the "Filter Band Width (ATR Multiple)" option (found under "General Settings") to display only those FVGs closer to the current price. From my experience, a value of 5 for the ATR multiple often provides a good starting point for balanced performance, but you should feel free to adjust this based on market volatility and your specific trading needs. Hide Fully Mitigated FVGs: I strongly recommend enabling the "Hide Fully Mitigated FVGs" option. This setting automatically removes all visual elements of an FVG from the chart once it has been fully mitigated by price. Doing so significantly reduces the number of active drawing objects, lessens computational load, and helps maintain chart clarity by focusing only on active, relevant FVGs. Disable FVG Display for Unused Timeframes: If you are not actively monitoring certain higher timeframes (MTF or HTF) for FVG analysis, I advise disabling their display by unchecking "Show MTF FVGs" or "Show HTF FVGs" respectively. This can provide a significant performance boost. Simplify Visual Elements: For active FVGs, consider hiding less critical visual elements if they are not essential for your specific analysis. This could include box labels, borders, or even entire FVG boxes if, for example, only the mitigation lines are of interest for a particular timeframe. Settings Changes and Platform Limits : This indicator is comprehensive and involves numerous calculations and drawings. When multiple settings are changed rapidly in quick succession, it is possible, on occasion, for TradingView to issue a "Runtime error: modify_study_limit_exceeding" or similar. This can cause the indicator to temporarily stop updating or display errors. Recommended Approach : When adjusting settings, it is advisable to wait a brief moment (a few seconds) after each significant change. This allows the indicator to reprocess and update on the chart before another change is made Error Recovery : Should such a runtime error occur, making a minor, different adjustment in the settings (e.g., toggling a checkbox off and then on again) and waiting briefly will typically allow the indicator to recover and resume correct operation. This behavior is related to platform limitations when handling complex scripts with many inputs and drawing objects. Multi-Timeframe (MTF/HTF) Data and Behavior HTF FVG Confirmation is Essential: : For an FVG from a higher timeframe (MTF or HTF) to be identified and displayed on your current chart (LTF), the three-bar pattern forming the FVG on that higher timeframe must consist of fully closed bars. The indicator does not draw speculative FVGs based on incomplete/forming bars from higher timeframes. Data Retrieval and LTF Processing: The indicator may use techniques like lookahead = barmerge.lookahead_on for timely data retrieval from higher timeframes. However, the actual detection of an FVG occurs after all its constituent bars on the HTF have closed. Appearance Timing on LTF (1 LTF Candle Delay): As a natural consequence of this, an FVG that is confirmed on an HTF (i.e., its third bar closes) will typically become visible on your LTF chart one LTF bar after its confirmation on the HTF. Example: Assume an FVG forms on a 30-minute chart at 15:30 (i.e., with the close of the 30-minute bar that covers the 15:00-15:30 period). If you are monitoring this FVG on a 15-minute chart, the indicator will detect this newly formed 30-minute FVG while processing the data for the 15-minute bar that starts at 15:30 and closes at 15:45. Therefore, the 30-minute FVG will become visible on your 15-minute chart at the earliest by 15:45 (i.e., with the close of that relevant 15-minute LTF candle). This means the HTF FVG is reflected on the LTF chart with a delay equivalent to one LTF candle. FVG Detection and Display Logic Fair Value Gaps (FVGs) on the current chart timeframe (LTF) are detected based on barstate.isconfirmed. This means the three-bar pattern must be complete with closed bars before an FVG is identified. This confirmation method prevents FVGs from being prematurely identified on the forming bar. Alerts Alert Setup : To receive alerts from this indicator, you must first ensure you have enabled the specific alert conditions you are interested in within the indicator's own settings (see 'Comprehensive Alert System' under the 'FEATURES' section). Once configured, open TradingView's 'Create Alert' dialog. In the 'Condition' tab, select this indicator's name, and crucially, choose the 'Any alert() function call' option from the dropdown list. This setup allows the indicator to trigger alerts based on the precise event conditions you have activated in its settings Alert Frequency : Alerts are designed to trigger once per bar close (alert.freq_once_per_bar_close) for the specific event. User Interface (UI) Tips Settings Group Icons: In the indicator settings menu, timeframe-specific groups are marked with star icons for easier navigation: 🌟 for LTF (Current Chart Timeframe), 🌟🌟 for MTF (Medium Timeframe), and 🌟🌟🌟 for HTF (High Timeframe). Dependent Inputs: Some input settings are dependent on others being enabled. These dependencies are visually indicated in the settings menu using symbols like "↳" (dependent setting on the next line), "⟷" (mutually exclusive inline options), or "➜" (directly dependent inline option). Settings Layout Overview: The indicator settings are organized into logical groups for ease of use. Key global display controls – such as toggles for MTF FVGs, HTF FVGs (along with their respective timeframe selectors), and the Information Panel – are conveniently located at the very top within the '⚙️ General Settings' group. This placement allows for quick access to frequently adjusted settings. Other sections provide detailed customization options for each timeframe (LTF, MTF, HTF), specific FVG components, and alert configurations. █ FOR Pine Script® CODERS This section provides a high-level overview of the FVG Premium indicator's internal architecture, data flow, and the interaction between its various library components. It is intended for Pine Script™ programmers who wish to understand the indicator's design, potentially extend its functionality, or learn from its structure. System Architecture and Modular Design The indicator is architected moduarly, leveraging several custom libraries to separate concerns and enhance code organization and reusability. Each library has a distinct responsibility: FvgTypes: Serves as the foundational data definition layer. It defines core User-Defined Types (UDTs) like fvgObject (for storing all attributes of an FVG) and drawSettings (for visual configurations), along with enumerations like tfType. CommonUtils: Provides utility functions for common tasks like mapping user string inputs (e.g., "Dashed" for line style) to their corresponding Pine Script™ constants (e.g., line.style_dashed) and formatting timeframe strings for display. FvgCalculations: Contains the core logic for FVG detection (both LTF and MTF/HTF via requestMultiTFBarData), FVG classification (Large FVGs based on ATR), and checking FVG interactions with price (mitigation, partial fill). FvgObject: Implements an object-oriented approach by attaching methods to the fvgObject UDT. These methods manage the entire visual lifecycle of an FVG on the chart, including drawing, updating based on state changes (e.g., mitigation), and deleting drawing objects. It's responsible for applying the visual configurations defined in drawSettings. FvgPanel: Manages the creation and dynamic updates of the on-chart information panel, which displays key FVG levels. The main indicator script acts as the orchestrator, initializing these libraries, managing user inputs, processing data flow between libraries, and handling the main event loop (bar updates) for FVG state management and alerts. Core Data Flow and FVG Lifecycle Management The general data flow and FVG lifecycle can be summarized as follows: Input Processing: User inputs from the "Settings" dialog are read by the main indicator script. Visual style inputs (colors, line styles, etc.) are consolidated into a types.drawSettings object (defined in FvgTypes). Other inputs (timeframes, filter settings, alert toggles) control the behavior of different modules. CommonUtils assists in mapping some string inputs to Pine constants. FVG Detection: For the current chart timeframe (LTF), FvgCalculations.detectFvg() identifies potential FVGs based on bar patterns. For MTF/HTF, the main indicator script calls FvgCalculations.requestMultiTFBarData() to fetch necessary bar data from higher timeframes, then FvgCalculations.detectMultiTFFvg() identifies FVGs. Newly detected FVGs are instantiated as types.fvgObject and stored in arrays within the main script. These objects also undergo classification (e.g., Large FVG) by FvgCalculations. State Update & Interaction: On each bar, the main indicator script iterates through active FVG objects to manage their state based on price interaction: Initially, the main script calls FvgCalculations.fvgInteractionCheck() to efficiently determine if the current bar's price might be interacting with a given FVG. If a potential interaction is flagged, the main script then invokes methods directly on the fvgObject instance (e.g., updateMitigation(), updatePartialFill(), checkMidlineTouch(), which are part of FvgObject). These fvgObject methods are responsible for the detailed condition checking and the actual modification of the FVG's state. For instance, the updateMitigation() and updatePartialFill() methods internally utilize specific helper functions from FvgCalculations (like checkMitigation() and checkPartialMitigation()) to confirm the precise nature of the interaction before updating the fvgObject’s state fields (such as isMitigated, currentTop, currentBottom, or isMidlineTouched). Visual Rendering: The FvgObject.updateDrawings() method is called for each fvgObject. This method is central to drawing management; it creates, updates, or deletes chart drawings (boxes, lines, labels) based on the FVG's current state, its prev_* (previous bar state) fields for optimization, and the visual settings passed via the drawSettings object. Information Panel Update: The main indicator script determines the nearest FVG levels, populates a panelData object (defined in FvgPanelLib), and calls FvgPanel.updatePanel() to refresh the on-chart display. Alert Generation: Based on the updated FVG states and user-enabled alert settings, the main indicator script constructs and triggers alerts using Pine Script's alert() function." Key Design Considerations UDT-Centric Design: The fvgObject UDT is pivotal, acting as a stateful container for all information related to a single FVG. Most operations revolve around creating, updating, or querying these objects. State Management: To optimize drawing updates and manage FVG lifecycles, fvgObject instances store their previous bar's state (e.g., prevIsVisible, prevCurrentTop). The FvgObject.updateDrawings() method uses this to determine if a redraw is necessary, minimizing redundant drawing calls. Settings Object: A drawSettings object is populated once (or when inputs change) and passed to drawing functions. This avoids repeatedly reading numerous input() values on every bar or within loops, improving performance. Dynamic Arrays for FVG Storage: Arrays are used to store collections of fvgObject instances, allowing for dynamic management (adding new FVGs, iterating for updates).
Pine Script® göstergesi
no1x tarafından
23
Multi-Fibonacci Trend Average[FibonacciFlux]Multi-Fibonacci Trend Average (MFTA): An Institutional-Grade Trend Confluence Indicator for Discerning Market Participants My original indicator/Strategy: Engineered for the sophisticated demands of institutional and advanced traders, the Multi-Fibonacci Trend Average (MFTA) indicator represents a paradigm shift in technical analysis. This meticulously crafted tool is designed to furnish high-definition trend signals within the complexities of modern financial markets. Anchored in the rigorous principles of Fibonacci ratios and augmented by advanced averaging methodologies, MFTA delivers a granular perspective on trend dynamics. Its integration of Multi-Timeframe (MTF) filters provides unparalleled signal robustness, empowering strategic decision-making with a heightened degree of confidence. MFTA indicator on BTCUSDT 15min chart with 1min RSI and MACD filters enabled. Note the refined signal generation with reduced noise. MFTA indicator on BTCUSDT 15min chart without MTF filters. While capturing more potential trading opportunities, it also generates a higher frequency of signals, including potential false positives. Core Innovation: Proprietary Fibonacci-Enhanced Supertrend Averaging Engine The MFTA indicator’s core innovation lies in its proprietary implementation of Supertrend analysis, strategically fortified by Fibonacci ratios to construct a truly dynamic volatility envelope. Departing from conventional Supertrend methodologies, MFTA autonomously computes not one, but three distinct Supertrend lines. Each of these lines is uniquely parameterized by a specific Fibonacci factor: 0.618 (Weak), 1.618 (Medium/Golden Ratio), and 2.618 (Strong/Extended Fibonacci). // Fibonacci-based factors for multiple Supertrend calculations factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval=0.01, step=0.01, tooltip='Factor 1 (Weak/Fibonacci)', group="Fibonacci Supertrend") factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval=0.01, step=0.01, tooltip='Factor 2 (Medium/Golden Ratio)', group="Fibonacci Supertrend") factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval=0.01, step=0.01, tooltip='Factor 3 (Strong/Extended Fib)', group="Fibonacci Supertrend") This multi-faceted architecture adeptly captures a spectrum of market volatility sensitivities, ensuring a comprehensive assessment of prevailing conditions. Subsequently, the indicator algorithmically synthesizes these disparate Supertrend lines through arithmetic averaging. To achieve optimal signal fidelity and mitigate inherent market noise, this composite average is further refined utilizing an Exponential Moving Average (EMA). // Calculate average of the three supertends and a smoothed version superlength = input.int(21, 'Smoothing Length', tooltip='Smoothing Length for Average Supertrend', group="Fibonacci Supertrend") average_trend = (supertrend1 + supertrend2 + supertrend3) / 3 smoothed_trend = ta.ema(average_trend, superlength) The resultant ‘Smoothed Trend’ line emerges as a remarkably responsive yet stable trend demarcation, offering demonstrably superior clarity and precision compared to singular Supertrend implementations, particularly within the turbulent dynamics of high-volatility markets. Elevated Signal Confluence: Integrated Multi-Timeframe (MTF) Validation Suite MFTA transcends the limitations of conventional trend indicators by incorporating an advanced suite of three independent MTF filters: RSI, MACD, and Volume. These filters function as sophisticated validation protocols, rigorously ensuring that only signals exhibiting a confluence of high-probability factors are brought to the forefront. 1. Granular Lower Timeframe RSI Momentum Filter The Relative Strength Index (RSI) filter, computed from a user-defined lower timeframe, furnishes critical momentum-based signal validation. By meticulously monitoring RSI dynamics on an accelerated timeframe, traders gain the capacity to evaluate underlying momentum strength with precision, prior to committing to signal execution on the primary chart timeframe. // --- Lower Timeframe RSI Filter --- ltf_rsi_filter_enable = input.bool(false, title="Enable RSI Filter", group="MTF Filters", tooltip="Use RSI from lower timeframe as a filter") ltf_rsi_timeframe = input.timeframe("1", title="RSI Timeframe", group="MTF Filters", tooltip="Timeframe for RSI calculation") ltf_rsi_length = input.int(14, title="RSI Length", minval=1, group="MTF Filters", tooltip="Length for RSI calculation") ltf_rsi_threshold = input.int(30, title="RSI Threshold", minval=0, maxval=100, group="MTF Filters", tooltip="RSI value threshold for filtering signals") 2. Convergent Lower Timeframe MACD Trend-Momentum Filter The Moving Average Convergence Divergence (MACD) filter, also calculated on a lower timeframe basis, introduces a critical layer of trend-momentum convergence confirmation. The bullish signal configuration rigorously mandates that the MACD line be definitively positioned above the Signal line on the designated lower timeframe. This stringent condition ensures a robust indication of converging momentum that aligns synergistically with the prevailing trend identified on the primary timeframe. // --- Lower Timeframe MACD Filter --- ltf_macd_filter_enable = input.bool(false, title="Enable MACD Filter", group="MTF Filters", tooltip="Use MACD from lower timeframe as a filter") ltf_macd_timeframe = input.timeframe("1", title="MACD Timeframe", group="MTF Filters", tooltip="Timeframe for MACD calculation") ltf_macd_fast_length = input.int(12, title="MACD Fast Length", minval=1, group="MTF Filters", tooltip="Fast EMA length for MACD") ltf_macd_slow_length = input.int(26, title="MACD Slow Length", minval=1, group="MTF Filters", tooltip="Slow EMA length for MACD") ltf_macd_signal_length = input.int(9, title="MACD Signal Length", minval=1, group="MTF Filters", tooltip="Signal SMA length for MACD") 3. Definitive Volume Confirmation Filter The Volume Filter functions as an indispensable arbiter of trade conviction. By establishing a dynamic volume threshold, defined as a percentage relative to the average volume over a user-specified lookback period, traders can effectively ensure that all generated signals are rigorously validated by demonstrably increased trading activity. This pivotal validation step signifies robust market participation, substantially diminishing the potential for spurious or false breakout signals. // --- Volume Filter --- volume_filter_enable = input.bool(false, title="Enable Volume Filter", group="MTF Filters", tooltip="Use volume level as a filter") volume_threshold_percent = input.int(title="Volume Threshold (%)", defval=150, minval=100, group="MTF Filters", tooltip="Minimum volume percentage compared to average volume to allow signal (100% = average)") These meticulously engineered filters operate in synergistic confluence, requiring all enabled filters to definitively satisfy their pre-defined conditions before a Buy or Sell signal is generated. This stringent multi-layered validation process drastically minimizes the incidence of false positive signals, thereby significantly enhancing entry precision and overall signal reliability. Intuitive Visual Architecture & Actionable Intelligence MFTA provides a demonstrably intuitive and visually rich charting environment, meticulously delineating trend direction and momentum through precisely color-coded plots: Average Supertrend: Thin line, green/red for uptrend/downtrend, immediate directional bias. Smoothed Supertrend: Bold line, teal/purple for uptrend/downtrend, cleaner, institutionally robust trend. Dynamic Trend Fill: Green/red fill between Supertrends quantifies trend strength and momentum. Adaptive Background Coloring: Light green/red background mirrors Smoothed Supertrend direction, holistic trend perspective. Precision Buy/Sell Signals: ‘BUY’/‘SELL’ labels appear on chart when trend touch and MTF filter confluence are satisfied, facilitating high-conviction trade action. MFTA indicator applied to BTCUSDT 4-hour chart, showcasing its effectiveness on higher timeframes. The Smoothed Length parameter is increased to 200 for enhanced smoothness on this timeframe, coupled with 1min RSI and Volume filters for signal refinement. This illustrates the indicator's adaptability across different timeframes and market conditions. Strategic Applications for Institutional Mandates MFTA’s sophisticated design provides distinct advantages for advanced trading operations and institutional investment mandates. Key strategic applications include: High-Probability Trend Identification: Fibonacci-averaged Supertrend with MTF filters robustly identifies high-probability trend continuations and reversals, enhancing alpha generation. Precision Entry/Exit Signals: Volume and momentum-filtered signals enable institutional-grade precision for optimized risk-adjusted returns. Algorithmic Trading Integration: Clear signal logic facilitates seamless integration into automated trading systems for scalable strategy deployment. Multi-Asset/Timeframe Versatility: Adaptable parameters ensure applicability across diverse asset classes and timeframes, catering to varied trading mandates. Enhanced Risk Management: Superior signal fidelity from MTF filters inherently reduces false signals, supporting robust risk management protocols. Granular Customization and Parameterized Control MFTA offers unparalleled customization, empowering users to fine-tune parameters for precise alignment with specific trading styles and market conditions. Key adjustable parameters include: Fibonacci Factors: Adjust Supertrend sensitivity to volatility regimes. ATR Length: Control volatility responsiveness in Supertrend calculations. Smoothing Length: Refine Smoothed Trend line responsiveness and noise reduction. MTF Filter Parameters: Independently configure timeframes, lookback periods, and thresholds for RSI, MACD, and Volume filters for optimal signal filtering. Disclaimer MFTA is meticulously engineered for high-quality trend signals; however, no indicator guarantees profit. Market conditions are unpredictable, and trading involves substantial risk. Rigorous backtesting and forward testing across diverse datasets, alongside a comprehensive understanding of the indicator's logic, are essential before live deployment. Past performance is not indicative of future results. MFTA is for informational and analytical purposes only and is not financial or investment advice.
Pine Script® göstergesi
FibonacciFlux tarafından
4
cd_HTF_bias_CxOverview: No matter our trading style or model, to increase our success rate, we must move in the direction of the trend and align with the Higher Time Frame (HTF). Trading "gurus" call this the HTF bias. While we small fish tend to swim in all directions, the smart way is to flow with the big wave and the current. This indicator is designed to help us anticipate that major wave. ________________________________________ Details and Usage: This indicator observes HTF price action across preferably seven different pairs, following specific rules. It confirms potential directional moves using CISD levels on a Medium Time Frame (MTF). In short, it forecasts the likely direction (HTF bias). The user can then search for trade opportunities aligned with this bias on a Lower Time Frame (LTF), using their preferred pair, entry model, and style. ________________________________________ Timeframe Alignment: The commonly accepted LTF/MTF/HTF combinations include: • 1m – 15m – H4 • 3m – H1 – Daily / 3m – 30m – Daily • 5m – H1 – Daily • 15m – H4 – Weekly • H1 – Daily – Monthly • H4 – Weekly – Quarterly Example: If you're trading with a 3m model on a 30m/3m setup, you should seek trades in the direction of the H1/Daily bias. ________________________________________ How It Works: The indicator first looks for sweeps on the selected HTF — when any of the last four candles are swept, the first condition is met. The second step is confirmation with a CISD close on the MTF — once a candle closes above/below the CISD level, the second condition is fulfilled. This suggests the price has made its directional decision. Example: If a previous HTF candle is swept and we receive a bearish CISD confirmation on H1, the HTF bias becomes bearish. After this, you may switch to a more granular setup like HTF: 30m and MTF: 3m to look for trade entries aligned with the bias (e.g., 30m sweep + 3m CISD). ________________________________________ How Is Bias Determined? • HTF Sweep + MTF CISD = SC (Sweep & CISD) • Latest Bullish SC → Bias: Bullish • Latest Bearish SC → Bias: Bearish • Price closes above the last Bearish SC → Bias: Strong Bullish • Price closes below the last Bullish SC → Bias: Strong Bearish • Strong Bullish bias + Bearish CISD (without HTF sweep) → Bias: Bullish • Strong Bearish bias + Bullish CISD (without HTF sweep) → Bias: Bearish • Bearish price violates SC high, but Bullish SC is untouched → Bias: Bullish • Bullish price violates SC low, but Bearish SC is untouched → Bias: Bearish • If neither side generates SC → Bias: No Bias The logic is built on the idea that a price overcoming resistance is stronger, and encountering resistance is weaker. This model is based on the well-known “Daily Bias” structure, but with personal refinements. ________________________________________ What’s on the Screen? • Classic HTF zones (boxes) • Potential MTF CISD levels • Confirmed MTF lines • Sweep zones when HTF sweeps occur • Result table showing current bias status ________________________________________ Usage: • Select HTF and MTF timeframes aligned with your trading timeframe. • Adjust color and position settings as needed. • Enter up to seven pairs to track via the menu. • Use the checkbox next to each pair to enable/disable them. • If “Ignore these assets” is checked, all pairs will be disabled, and only the currently open chart pair will be tracked. ________________________________________ Alerts: You can choose alerts for Bullish, Bearish, Strong Bullish, or Strong Bearish conditions. There are two types of alert sources: 1. From the indicator’s internal list 2. From TradingView’s watchlist Visual example: ________________________________________ How I Use It: • For spot trades, I use HTF: Weekly and MTF: H4 and look for Bullish or Strong Bullish pairs. • For scalping, I follow bias from HTF: Daily and MTF: H1. Example: If the indicator shows a Bearish HTF Bias, I switch to HTF: 30m and MTF: 3m and enter trades once bearish conditions are met (timeframe alignment). ________________________________________ Important Notes: • The indicator defines CISD levels only at HTF high and low levels. • If your chart is on a higher timeframe than your selected HTF/MTF, no data will appear. Example: If HTF = H1 and MTF = 5m, opening a chart on H4 will result in a blank screen. • The drawn CISD level on screen is the MTF CISD level. • Not every alert should be traded. Always confirm with personal experience and visual validation. • Receiving multiple Strong Bullish/Bearish alerts is intentional. (Trick 😊) • Please share your feedback and suggestions! ________________________________________ And Most Importantly: Don't leave street animals without water and food! Happy trading!
Pine Script® göstergesi
cdikici71 tarafından
17
EvoTrend-X Indicator — Evolutionary Trend Learner ExperimentalEvoTrend-X Indicator — Evolutionary Trend Learner NOTE: This is an experimental Pine Script v6 port of a Python prototype. Pine wasn’t the original research language, so there may be small quirks—your feedback and bug reports are very welcome. The model is non-repainting, MTF-safe (lookahead_off + gaps_on), and features an adaptive (fitness-based) candidate selector, confidence gating, and a volatility filter. ⸻ What it is EvoTrend-X is adaptive trend indicator that learns which moving-average length best fits the current market. It maintains a small “population” of fast EMA candidates, rewards those that align with price momentum, and continuously selects the best performer. Signals are gated by a multi-factor Confidence score (fitness, strength vs. ATR, MTF agreement) and a volatility filter (ATR%). You get a clean Fast/Slow pair (for the currently best candidate), optional HTF filter, a fitness ribbon for transparency, and a themed info panel with a one-glance STATUS readout. Core outputs • Selected Fast/Slow EMAs (auto-chosen from candidates via fitness learning) • Spread cross (Fast – Slow) → visual BUY/SELL markers + alert hooks • Confidence % (0–100): Fitness ⊕ Distance vs. ATR ⊕ MTF agreement • Gates: Trend regime (Kaufman ER), Volatility (ATR%), MTF filter (optional) • Candidate Fitness Ribbon: shows which lengths the learner currently prefers • Export plot: hidden series “EvoTrend-X Export (spread)” for downstream use ⸻ Why it’s different • Evolutionary learning (on-chart): Each candidate EMA length gets rewarded if its slope matches price change and penalized otherwise, with a gentle decay so the model forgets stale regimes. The best fitness wins the right to define the displayed Fast/Slow pair. • Confidence gate: Signals don’t light up unless multiple conditions concur: learned fitness, spread strength vs. volatility, and (optionally) higher-timeframe trend. • Volatility awareness: ATR% filter blocks low-energy environments that cause death-by-a-thousand-whipsaws. Your “why no signal?” answer is always visible in the STATUS. • Preset discipline, Custom freedom: Presets set reasonable baselines for FX, equities, and crypto; Custom exposes all knobs and honors your inputs one-to-one. • Non-repainting rigor: All MTF calls use lookahead_off + gaps_on. Decisions use confirmed bars. No forward refs. No conditional ta.* pitfalls. ⸻ Presets (and what they do) • FX 1H (Conservative): Medium candidates, slightly higher MinConf, modest ATR% floor. Good for macro sessions and cleaner swings. • FX 15m (Active): Shorter candidates, looser MinConf, higher ATR% floor. Designed for intraday velocity and decisive sessions. • Equities 1D: Longer candidates, gentler volatility floor. Suits index/large-cap trend waves. • Crypto 1H: Mid-short candidates, higher ATR% floor for 24/7 chop, stronger MinConf to avoid noise. • Custom: Your inputs are used directly (no override). Ideal for systematic tuning or bespoke assets. ⸻ How the learning works (at a glance) 1. Candidates: A small set of fast EMA lengths (e.g., 8/12/16/20/26/34). Slow = Fast × multiplier (default ×2.0). 2. Reward/decay: If price change and the candidate’s Fast slope agree (both up or both down), its fitness increases; otherwise decreases. A decay constant slowly forgets the distant past. 3. Selection: The candidate with highest fitness defines the displayed Fast/Slow pair. 4. Signal engine: Crosses of the spread (Fast − Slow) across zero mark potential regime shifts. A Confidence score and gates decide whether to surface them. ⸻ Controls & what they mean Learning / Regime • Slow length = Fast ×: scales the Slow EMA relative to each Fast candidate. Larger multiplier = smoother regime detection, fewer whipsaws. • ER length / threshold: Kaufman Efficiency Ratio; above threshold = “Trending” background. • Learning step, Decay: Larger step reacts faster to new behavior; decay sets how quickly the past is forgotten. Confidence / Volatility gate • Min Confidence (%): Minimum score to show signals (and fire alerts). Raising it filters noise; lowering it increases frequency. • ATR length: The ATR window for both the ATR% filter and strength normalization. Shorter = faster, but choppier. • Min ATR% (percent): ATR as a percentage of price. If ATR% < Min ATR% → status shows BLOCK: low vola. MTF Trend Filter • Use HTF filter / Timeframe / Fast & Slow: HTF Fast>Slow for longs, Fast threshold; exit when spread flips or Confidence decays below your comfort zone. 2) FX index/majors, 15m (active intraday) • Preset: FX 15m (Active). • Gate: MinConf 60–70; Min ATR% 0.15–0.30. • Flow: Focus on session opens (LDN/NY). The ribbon should heat up on shorter candidates before valid crosses appear—good early warning. 3) SPY / Index futures, 1D (positioning) • Preset: Equities 1D. • Gate: MinConf 55–65; Min ATR% 0.05–0.12. • Flow: Use spread crosses as regime flags; add timing from price structure. For adds, wait for ER to remain trending across several bars. 4) BTCUSD, 1H (24/7) • Preset: Crypto 1H. • Gate: MinConf 70–80; Min ATR% 0.20–0.35. • Flow: Crypto chops—volatility filter is your friend. When ribbon and HTF OK agree, favor continuation entries; otherwise stand down. ⸻ Reading the Info Panel (and fixing “no signals”) The panel is your self-diagnostic: • HTF OK? False means the higher-timeframe EMAs disagree with your intended side. • Regime: If “Chop”, ER < threshold. Consider raising the threshold or waiting. • Confidence: Heat-colored; if below MinConf, the gate blocks signals. • ATR% vs. Min ATR%: If ATR% < Min ATR%, status shows BLOCK: low vola. • STATUS (composite): • BLOCK: low vola → increase Min ATR% down (i.e., allow lower vol) or wait for expansion. • BLOCK: HTF filter → disable HTF or align with the HTF tide. • BLOCK: confidence → lower MinConf slightly or wait for stronger alignment. • OK → you’ll see markers on valid crosses. ⸻ Alerts Two static alert hooks: • BUY cross — spread crosses up and all gates (ER, Vol, MTF, Confidence) are open. • SELL cross — mirror of the above. Create them once from “Add Alert” → choose the condition by name. ⸻ Exporting to other scripts In your other Pine indicators/strategies, add an input.source and select EvoTrend-X → “EvoTrend-X Export (spread)”. Common uses: • Build a rule: only trade when exported spread > 0 (trend filter). • Combine with your oscillator: oscillator oversold and spread > 0 → buy bias. ⸻ Best practices • Let it learn: Keep Learning step moderate (0.4–0.6) and Decay close to 1.0 (e.g., 0.99–0.997) for smooth regime memory. • Respect volatility: Tune Min ATR% by asset and timeframe. FX 1H ≈ 0.10–0.20; crypto 1H ≈ 0.20–0.35; equities 1D ≈ 0.05–0.12. • MTF discipline: HTF filter removes lots of “almost” trades. If you prefer aggressive entries, turn it off and rely more on Confidence. • Confidence as throttle: • 40–60%: exploratory; expect more signals. • 60–75%: balanced; good daily driver. • 75–90%: selective; catch the clean stuff. • 90–100%: only A-setups; patient mode. • Watch the ribbon: When shorter candidates heat up before a cross, momentum is forming. If long candidates dominate, you’re in a slower trend cycle. ⸻ Non-repainting & safety notes • All request.security() calls use lookahead=barmerge.lookahead_off, gaps=barmerge.gaps_on. • No forward references; decisions rely on confirmed bar data. • EMA lengths are simple ints (no series-length errors). • Confidence components are computed every bar (no conditional ta.* traps). ⸻ Limitations & tips • Chop happens: ER helps, but sideways microstructure can still flicker—use Confidence + Vol filter as brakes. • Presets ≠ oracle: They’re sensible baselines; always tune MinConf and Min ATR% to your venue and session. • Theme “Auto”: Pine cannot read chart theme; “Auto” defaults to a Dark-friendly palette. ⸻ Publisher’s Screenshots Checklist 1) FX swing — EURUSD 1H • Preset: FX 1H (Conservative) • Params: MinConf=70, ATR Len=14, Min ATR%=0.12, MTF ON (TF=4H, 20/50) • Show: Clear BUY cross, STATUS=OK, green regime background; Fitness Ribbon visible. 2) FX intraday — GBPUSD 15m • Preset: FX 15m (Active) • Params: MinConf=60, ATR Len=14, Min ATR%=0.20, MTF ON (TF=60m) • Show: SELL cross near London session open. HTF lines enabled (translucent). • Caption: “GBPUSD 15m • Active session sell with MTF alignment.” 3) Indices — SPY 1D • Preset: Equities 1D • Params: MinConf=60, ATR Len=14, Min ATR%=0.08, MTF ON (TF=1W, 20/50) • Show: Longer trend run after BUY cross; regime shading shows persistence. • Caption: “SPY 1D • Trend run after BUY cross; weekly filter aligned.” 4) Crypto — BINANCE:BTCUSDT 1H • Preset: Crypto 1H • Params: MinConf=75, ATR Len=14, Min ATR%=0.25, MTF ON (TF=4H) • Show: BUY cross + quick follow-through; Ribbon warming (reds/yellows → greens). • Caption: “BTCUSDT 1H • Momentum break with high confidence and ribbon turning.”
Pine Script® göstergesi
ACTradeFIN tarafından