Wyckoffmethod — Indicatori e strategie

NY 4H Wyckoff State Machine [CHE] NY 4H Wyckoff State Machine — Full (Re-Entry, Breakout, Wick, Re-Accum/Distrib, Dynamic Table) — One-Candle Wyckoff Re-Entry (OCWR) Summary OCWR operationalizes a one-candle session workflow: mark the first four-hour New York candle, fix its high and low as the session range when the window closes, and drive entries through a Wyckoff-style state machine on intraday bars. The script adds an ATR-scaled buffer around the range and requires multi-bar acceptance before treating breaks or re-entries as valid. Optional wick-cluster evidence, a proximity retest, and simple volume or RSI gates increase selectivity. Background tints expose regimes, shapes mark events, a dynamic table explains the current state, and hidden plots supply alert payloads. The design reduces random flips and makes state transitions auditable without higher-timeframe calls. Origin and name Method name: One-Candle Wyckoff Re-Entry (OCWR) Transcript origin: The source idea is a “stupid simple one-candle scalping” routine: mark the first New York four-hour candle (commonly between one and five in the morning New York time), drop to five minutes, observe accumulation inside, wait for a manipulation move outside, then trade the re-entry back inside. Stops go beyond the excursion extreme; targets are either a fixed reward multiple or the opposite side of the range. Preference is given to several manipulation candles. This indicator codifies that workflow with explicit states, acceptance counters, buffers, and optional quality filters. Any external performance claims are not part of the code. Motivation: Why this design? Session levels are widely respected, yet single-bar breaches around them are noisy. OCWR separates range discovery from trade logic. It locks the range at the end of the window, applies an ATR-scaled buffer to ignore marginal oversteps, and requires acceptance over several bars for breaks and re-entries. Wick evidence and optional retest proximity help confirm that an excursion likely cleared liquidity rather than launched a trend. This yields cleaner transitions from test to commitment. What’s different vs. standard approaches? Baseline: Static session lines or one-shot Wyckoff tags without process control. Architecture: Dual long and short state machines; ATR-buffered edges; multi-bar acceptance for breaks and re-entries; optional wick dominance and cluster checks; optional retest tolerance; direct and opposite breakout paths; cooldown after fires; distribution timeout; dynamic table with highlighted row. Practical effect: Fewer single-bar head-fakes, clearer hand-offs, and on-chart explanations of the machine’s view. Wyckoff structure by example — OCWR on five minutes One-candle setup: On the four-hour chart, mark the first New York candle’s high and low, then switch to five minutes. Solid lines show the fixed range; dashed lines show ATR-buffered edges. Long path (verbal mapping): Phase A, Stopping Action: Price stabilizes inside the range. Phase B, Consolidation: Sustained balance while the window is closed and after the range is fixed. Phase C, Test (Spring): Excursion below the buffered low with preference for several outside bars and dominant lower wicks, then a return inside. Re-entry acceptance: A required run of inside bars validates the test. Phase D, Breakout to Markup: Long signal fires; stop beyond the excursion extreme; objective is the opposite range or a fixed reward multiple. Phase E, Trend (Markup) and Re-Accumulation: Advance continues until target, stop, confirmation back against the box, or timeout. A pause inside trend may register as re-accumulation. Short path mirrors the above: A UTAD-style move forms above the buffered high, then re-entry leads to Markdown and possible re-distribution. Variant map (verbal): Accumulation after a downtrend: with Spring and Test, or without Spring; both proceed to Markup and may pause in Re-Accumulation. Distribution after an uptrend: with UTAD and Test, or without UTAD; both proceed to Markdown and may pause in Re-Distribution. Note: Phases A through E occur within each variant and are not separate variants. How it works (technical) Session window: A configurable four-hour New York window records its high and low. At window end, the bounds are fixed for the session. ATR buffer: A margin above and below the fixed range discourages triggers from tiny oversteps. Inside and outside: Users choose close-based or wick-based detection. Overshoot requirements are expressed verbally as a fraction of the range with an optional absolute minimum. Manipulation tracking: The machine counts bars spent outside and records the side extreme. Re-entry acceptance: After a return inside, a specified number of inside bars must print before acceptance. Direct and opposite breakouts: Direct breakouts from accumulation and opposite breakouts after manipulation are supported, subject to acceptance and optional filters. Targets and exits: Choose the opposite boundary or a fixed reward multiple. Distribution ends on target, stop, confirmation back against the range, or timeout. Context filters (optional): Volume above a scaled SMA, RSI thresholds, and a trend SMA for simple regime context. Diagnostics: Background tints for regimes; arrows for re-entries; triangles for breakouts; table with row highlights; hidden plots for alert values. Central table (Wyckoff console) The table sits top-right and explains the machine’s stance. Columns: Structure label, plain-English description, active state pair for long and short, and human phase tags. Rows: Start and range building; accumulation branch with Spring and Test as well as direct breakout; Markup and re-accumulation; distribution branch with UTAD and Test as well as direct short breakout; Markdown and re-distribution. Only the active state cell is rewritten each last bar, for example “L_ACCUM slash S_ACCUM”. Row highlighting is context-aware: accumulation, Spring or UTAD, breakout, Markup or Markdown, and re-accumulation or re-distribution checks can highlight independently so users see simultaneous conditions. The table is created once, updated only on the last bar for efficiency, and functions as a read-only console to audit why a signal fired and where the path currently sits. Parameter Guide Session window and time zone: First four hours of New York by default; time zone “America/New_York”. ATR length and buffer factor: Control buffer size; larger reduces sensitivity, smaller reacts faster. Minimum overshoot (fraction and absolute): Demand meaningful extension beyond the buffer. Break mode: Close-based is stricter; wick-based is more reactive. Acceptance counts: Separate counts for break, re-entry, and opposite breakout; higher values reduce noise. Minimum bars outside: Ensures manipulation is not a single spike. Wick detection and clusters (optional): Dominance thresholds and cluster size within a short window. Retest required and tolerance (optional): Gate re-entry by proximity to the buffered edge. Volume and RSI filters (optional): Simple gates on activity and momentum. TP mode and reward multiple: Opposite range or fixed multiple. Cooldown and distribution timeout: Rate-limit signals and prevent endless distribution. Visualization toggles: Background phases, labels, table, and helper lines. Reading & Interpretation Solid lines are the fixed session bounds; dashed lines are buffers. Backgrounds tint accumulation, manipulation, and distribution. Arrows show accepted re-entries; triangles show direct or opposite breakouts. Labels can summarize entry, stop, target, and risk. The table highlights the active row and the current state pair. Practical Workflows & Combinations OCWR baseline: Each morning, mark the New York four-hour candle, move to five minutes, prefer multi-bar manipulation outside, then wait for a qualified re-entry inside. Stop beyond the excursion extreme. Target the opposite range for conservative management or a fixed multiple for uniform sizing. Trend following: Favor direct breakouts with trend alignment and no contradictory wick evidence. Quality control: When noise rises, increase acceptance, raise the buffer factor, enable retest, and require wick clusters. Discretionary confluences: Fair-value gaps and trend lines can be added by the user; they are not computed by this script. Behavior, Constraints & Performance Closed-bar confirmation is recommended when you require finality; live-bar conditions can change until close. The script does not call higher-timeframe data. It uses arrays, lines, labels, boxes, and a table; maximum bars back is five thousand; table updates are last-bar only. Known limits include compressed buffers in quiet sessions, unreliable wick evidence in thin markets, and session misalignment if the platform time zone is not New York. Sensible Defaults & Quick Tuning Start with ATR length fourteen, buffer factor near zero point fifteen, overshoot fraction near zero point ten, acceptance counts of two, minimum outside duration three, retest required on. Too many flips: increase acceptance, raise buffer, enable retest, and tighten wick thresholds. Too slow: reduce acceptance, lower buffer, switch to wick-based breaks, disable retest. Noisy wicks: increase minimum wick ratio and cluster size, or disable wick detection. What this indicator is—and isn’t A session-anchored visualization and signal layer that formalizes a Wyckoff-style re-entry and breakout workflow derived from a single four-hour New York candle. It is not predictive and not a complete trading system. Use with structure analysis, risk controls, and position management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino

Wyckoff Effort vs. Result 📌 Wyckoff Effort vs. Result (E/R) – Visualizing Supply & Demand Imbalance with Volume Confirmation 📖 Overview The Wyckoff Effort vs. Result (E/R) indicator is designed to help traders interpret market behavior through the lens of volume vs. price movement — a foundational concept in Richard Wyckoff’s methodology. This tool aims to highlight moments where the “effort” (volume) is not in proportion to the “result” (price movement) — giving insight into potential accumulation or distribution events. By detecting high-volume candles and classifying them based on their price direction, the indicator visualizes zones where smart money might be active . ⚙️ How It Works 1. Effort Accumulation (High Volume Down Bar): • When a candle closes lower than it opens (down bar) and has above-average volume , it’s marked as potential absorption of selling pressure (effort to push down met by buying). • These candles are colored red and the open level is plotted, acting as a potential support or re-test zone. 2. Effort Distribution (High Volume Up Bar): • When a candle closes higher than it opens (up bar) and has above-average volume , it’s marked as potential distribution (effort to push up absorbed by sellers). • These candles are colored green and the open level is plotted , acting as a potential resistance or rejection zone. 3. Average Volume Calculation: • The script calculates a simple moving average (SMA) of volume over a user-defined lookback period. • If current volume exceeds the average multiplied by a set threshold, it’s treated as a high-effort bar . 🧪 Inputs Input Description Average Volume Lookback - Number of bars used to calculate the volume average High Volume Multiplier. - Multiplier to define what qualifies as “high volume” 🖥️ Visual Output • 🔴 Red candles = High volume on a down bar → possible accumulation • 🟢 Green candles = High volume on an up bar → possible distribution • 📉 Horizontal lines at bar open price mark the potential zones where effort occurred These zones can serve as: • Areas of support/resistance • Trap zones where smart money absorbs liquidity • Entry/exit filters when combined with price action 🧠 How to Use • Use in combination with price structure, support/resistance, and volume profile tools • Watch how price reacts when it revisits the plotted lines • Look for effort bars that fail to lead to continuation, signaling potential reversal • Can be used in scalping, swing trading, or Wyckoff-style phase analysis 🔒 Technical Notes • ✅ Does not repaint • ✅ Built with Pine Script v6 • ✅ Lightweight and customizable • ❌ Does not generate buy/sell signals — it provides context, not predictions

Smarter Money Concepts Dashboard [PhenLabs]📊Smarter Money Concepts Dashboard Version: PineScript™v6 📌Description The Smarter Money Concepts Dashboard is a comprehensive institutional trading analysis tool that combines six of our most powerful smarter money concepts indicators into one unified suite. This advanced system automatically detects and visualizes Fair Value Gaps, Inverted FVGs, Order Blocks, Wyckoff Springs/Upthrusts, Wick Rejection patterns, and ICT Market Structure analysis. Built for serious traders who need institutional-grade market analysis, this dashboard eliminates subjective interpretation by automatically identifying where smart money is likely positioned. The integrated real-time dashboard provides instant status updates on all active patterns, making it easy to monitor market conditions at a glance. 🚀Points of Innovation ● Multi-Module Integration: Six different SMC concepts unified in one comprehensive system ● Real-Time Dashboard Display: Live tracking of all active patterns with customizable positioning ● Advanced Volume Filtering: Institutional volume confirmation across all pattern types ● Automated Pattern Management: Smart memory system prevents chart clutter while maintaining relevant zones ● Probability-Based Wyckoff Detection: Mathematical probability calculations for spring/upthrust patterns ● Dual FVG System: Both standard and inverted Fair Value Gap detection with equilibrium analysis 🔧Core Components ● Fair Value Gap Engine: Detects standard FVGs with volume confirmation and equilibrium line analysis ● Inverted FVG Module: Advanced IFVG detection using RVI momentum filtering for inversion confirmation ● Order Block System: Institutional order block identification with customizable mitigation methods ● Wyckoff Pattern Recognition: Automated spring and upthrust detection with probability scoring ● Wick Rejection Analysis: High-probability reversal patterns based on wick-to-body ratios ● ICT Market Structure: Simplified institutional concepts with commitment tracking 🔥Key Features ● Comprehensive Pattern Detection: All major SMC concepts in one indicator with automatic identification ● Volume-Confirmed Signals: Multiple volume filters ensure only institutional-grade patterns are highlighted ● Interactive Dashboard: Real-time status display with active pattern counts and module status ● Smart Memory Management: Automatic cleanup of old patterns while preserving relevant market zones ● Full Alert System: Complete notification coverage for all pattern types and signal generations ● Customizable Display Options: Adjustable colors, transparency, and positioning for all visual elements 🎨Visualization ● Color-Coded Zones: Distinct color schemes for bullish/bearish patterns across all modules ● Dynamic Box Extensions: Automatically extending zones until mitigation or invalidation ● Equilibrium Lines: Fair Value Gap midpoint analysis with dotted line visualization ● Signal Markers: Clear spring/upthrust signals with directional arrows and probability indicators ● Dashboard Table: Professional-grade status panel with module activation and pattern counts ● Candle Coloring: Wick rejection highlighting with transparency-based visual emphasis 📖Usage Guidelines Fair Value Gap Settings ● Days to Analyze: Default 15, Range 1-100 - Controls historical FVG detection period ● Volume Filter: Enables institutional volume confirmation for gap validity ● Min Volume Ratio: Default 1.5 - Minimum volume spike required for gap recognition ● Show Equilibrium Lines: Displays FVG midpoint analysis for precise entry targeting Order Block Configuration ● Scan Range: Default 25 bars - Lookback period for structure break identification ● Volume Filter: Institutional volume confirmation for order block validation ● Mitigation Method: Wick or Close-based invalidation for different trading styles ● Min Volume Ratio: Default 1.5 - Volume threshold for significant order block formation Wyckoff Analysis Parameters ● S/R Lookback: Default 20 - Support/resistance calculation period for spring/upthrust detection ● Volume Spike Multiplier: Default 1.5 - Required volume increase for pattern confirmation ● Probability Threshold: Default 0.7 - Minimum probability score for signal generation ● ATR Recovery Period: Default 5 - Price recovery calculation for pattern strength assessment Market Structure Settings ● Auto-Detect Zones: Automatic identification of high-volume thin zones ● Proximity Threshold: Default 0.20% - Price proximity requirements for zone interaction ● Test Window: Default 20 bars - Time period for zone commitment calculation Display Customization ● Dashboard Position: Four corner options for optimal chart layout ● Text Size: Scalable from Tiny to Large for different screen configurations ● Pattern Colors: Full customization of all bullish and bearish zone colors ✅Best Use Cases ● Swing Trading: Identify major institutional zones for multi-day position entries ● Day Trading: Precise intraday entries at Fair Value Gaps and Order Block boundaries ● Trend Analysis: Market structure confirmation for directional bias establishment ● Risk Management: Clear invalidation levels provided by all pattern boundaries ● Multi-Timeframe Analysis: Works across all timeframes from 1-minute to monthly charts ⚠️Limitations ● Market Condition Dependency: Performance varies between trending and ranging market environments ● Volume Data Requirements: Requires accurate volume data for optimal pattern confirmation ● Lagging Nature: Some patterns confirmed after initial price movement has begun ● Pattern Density: High-volatility markets may generate excessive pattern signals ● Educational Tool: Requires understanding of smart money concepts for effective application 💡What Makes This Unique ● Complete SMC Integration: First indicator to combine all major smart money concepts comprehensively ● Real-Time Dashboard: Instant visual feedback on all active institutional patterns ● Advanced Volume Analysis: Multi-layered volume confirmation across all detection modules ● Probability-Based Signals: Mathematical approach to Wyckoff pattern recognition accuracy ● Professional Memory Management: Sophisticated pattern cleanup without losing market relevance 🔬How It Works 1. Pattern Detection Phase: ● Multi-timeframe scanning for institutional footprints across all enabled modules ● Volume analysis integration confirms patterns meet institutional trading criteria ● Real-time pattern validation ensures only high-probability setups are displayed 2. Signal Generation Process: ● Automated zone creation with precise boundary definitions for each pattern type ● Dynamic extension system maintains relevance until mitigation or invalidation occurs ● Alert system activation provides immediate notification of new pattern formations 3. Dashboard Update Cycle: ● Live status monitoring tracks all active patterns and module states continuously ● Pattern count updates provide instant feedback on current market condition density ● Commitment tracking for market structure analysis shows institutional engagement levels 💡Note: This indicator represents institutional trading concepts and should be used as part of a comprehensive trading strategy. Pattern recognition accuracy improves with understanding of smart money principles. Combine with proper risk management and multiple confirmation methods for optimal results.

Auto Wyckoff Schematic [by DanielM]This indicator is designed to automatically detect essential components of Wyckoff schematics. This tool aims to capture the critical phases of liquidity transfer from weak to strong hands, occurring before a trend reversal. While the Wyckoff method is a comprehensive and a very nuanced approach, every Wyckoff schematic is unique, making it impractical to implement all its components without undermining the detection of the pattern. Consequently, this script focuses on the essential elements critical to identifying these schematics effectively. Key Features: Swing Detection Sensitivity: The sensitivity of swing detection is adjustable through the input parameter. This parameter controls the number of past bars analyzed to determine swing highs and lows, allowing users to fine-tune detection based on market volatility and timeframes. Pattern Detection Logic: Accumulation Schematic: Detects consecutive lower swing lows, representing phases like Selling Climax (SC) and Spring, which often precede a trend reversal upward. After the final low is identified, a higher high is detected to confirm the upward trend initiation. Labeled Key Points: SC: Selling Climax, marking the beginning of the accumulation zone. ST: Secondary Test during the schematic. ST(b): Secondary Test in phase B. Spring: The lowest point in the schematic, signaling a final liquidity grab. SOS: Sign of Strength, confirming a bullish breakout. The schematic is outlined visually with a rectangle to highlight the price range. Distribution Schematic: Detects consecutive higher swing highs, which indicate phases such as Buying Climax (BC) and UTAD, often leading to a bearish reversal. After the final high, a lower low is detected to confirm the downward trend initiation. Labeled Key Points: BC: Buying Climax, marking the beginning of the distribution zone. ST: Secondary Test during the schematic. UT: Upthrust. UTAD: Upthrust After Distribution, signaling the final upward liquidity grab before a bearish trend. SOW: Sign of Weakness, confirming a bearish breakout. The schematic is visually outlined with a rectangle to highlight the price range. Notes: Simplification for Practicality: Due to the inherent complexity and variability of Wyckoff schematics, the indicator focuses only on the most essential features—liquidity transfer and key reversal signals. Limitations: The tool does not account for all components of Wyckoff's method (e.g., minor phases or nuanced volume analysis) to maintain clarity and usability. Unique Behavior: Every Wyckoff schematic is different, and this tool is designed to provide a simplified, generalized approach to detecting these unique patterns.

Wyckoff Springs [QuantVue]The Wyckoff Springs indicator is designed to identify potential bullish reversal patterns known as "springs" in the Wyckoff Method. A Wyckoff spring occurs when the price temporarily dips below a support level, then quickly rebounds, suggesting a false breakdown and a potential buying opportunity. How it works: Pivot detection: The indicator identifies pivot lows based on the specified pivot length. These pivot points are stored and analyzed for potential spring patterns. Volume and Range Checks: If volume confirmation is enabled, the indicator checks if the current volume exceeds a threshold based on the average volume over the specified period. The indicator ensures that the price undercuts the defined trading range before confirming a spring pattern. Spring Identification The indicator checks for price conditions indicative of a Wyckoff spring: a temporary dip below a pivot low followed by a close above it. The recovery must take place within 3 bars. If these conditions are met, a spring label is placed below the bar. Features: Pivot Length: The user can set the pivot length to match any style of trading. Volume Confirmation: An optional feature where the user can specify if volume confirmation is required for a spring signal. Volume threshold can be set to determine what constitutes significant volume compared to the average volume over a specified period. By default it is set to 1.5 How to Trade a Spring: Give this indicator a BOOST and COMMENT your thoughts below! We hope you enjoy. Cheers!

Buy/Sell Volume Totals for Period This indicator can be used to help you tell the difference between Wyckoff Accumulation and Distribution. The idea is to add up all the Buy Volume and all the Sell Volume separately from the beginning of the Trading Range (TR) for each candle. You can define the Start and End dates in the settings of the indicator. The indicator will show you 3 numbers of interest: GREEN = Total Buy Volume from beginning of date range RED = Total Sell Volume from beginning of date range YELLOW = Ratio of Total Buy / Total Sell Volume from beginning of date range When the Total Buy Volume exceeds the Total Sell Volume in the TR, the indicator will color the background in GREEN color, to indicate possible accumulation. Otherwise the background will be RED, to indicate possible distribution. You can float your cursor over any candle to see the current Volume Totals at that candle from the beginning of the TR (set by you in settings to a specific date). Here's a few examples of the indicator in action: 1) Accumulation 2) Distribution 3) Possible Re-distribution Please note that this indicator is meant to be used in combination with other analysis techniques from the Wyckoff Methodology!

efficiency of bulls and bears for VSA (Google translation from Russian.) This indicator shows the effectiveness of selling or buying. It is calculated as follows: using percentrank, the volume and the value of the spread are estimated (momentum = 1) the resulting estimate of the volume value is divided by the estimate of the spread (momentum = 1) and thus we obtain the value. The larger it is, the more efficient and easier the price movement was. If the indicator value is small, then this means that the movement was ineffective, because the volume (money) was invested. but no result. The color of the volume bars is assigned as follows: Buyers: If the volume is large - Blue - green If middle, then blue Small - light blue Sellers: If the volume is large - Burgundy color If middle, then purple Small volume - light purple Indicator parameters: Comparison period - the period at which the volumes and spread are compared with each other - by default it is 50, selected as the most universal period suitable for different timeframes. But for daytime ones. Weekly and monthly timeframes may need to be shortened. This is true after significant spikes in volume that are exceptional over the long term. Period spread - Bars from close to close - or in other words, it is momentum - defaults to 1 sensitivity of increased volumes - according to the percentrank indicator - the limit above which the volume will be considered large, the same as in the Volume on bar VSA - indicator V2 - for clarity, I recommend looking at it. The default is 85, which means. that if the current value of the volume is greater than 85% of the remaining values in this period, then such a value of the volume will be considered high. medium volume sensitivity - the same sensitivity of increased volumes but for medium volumes. multiplier of increased volumes - this is an empirical factor to emphasize the importance of increased volumes - default = 20 multiplier of average volumes - the same. As above, but for medium volumes - the default is 10 reduced volume multiplier - Default is 1. Knowledge of VSA is required to read this indicator This indicator is recommended for use with indicators: Volume on bar VSA - indicator V2 BAR for VSA Russian language Этот индикатор показывает эффективность продаж или покупок. Рассчитывается следующим образом: с помощью percentrank оценивается величина объема и велечина спреда (momentum = 1) полученная оценка велечины объема делится на оценку спреда (momentum = 1) и таким образом получаем значение. Чем оно больше, тем движение цены было эффективнее и легче. Если значение индикатора маленькое, то это означает, что движение было неэффективным, поскольку объем (деньги) вложили. а результата нет. Цвет барам объемов присваиваются следующим образом: У покупателей: Если объем большой - Сине – зелёный цвет Если средний – то голубой Маленький – свело-голубой У продавцов: Если объем большой - Бордовый цвет Если средний – то пурпурный Маленький объем – светло-пурпурный Параметры индикатора: Comparison period (период для сравнения) – период на котором между собой сравниваются объемы и спред – по умолчанию равно 50 , выбрано как наиболее универсальный период подходящий для различных таймфреймов. Но для дневных. Недельных и месячных таймфреймов может потребоваться уменьшить период. Это актуально после значительных всплесков объемов, которые являются исключительными на длительном периоде. Period spread - Bars from close to close (Период спреда - Баров от закрытия до закрытия) – или другими словами это momentum – по умолчанию равно 1 sensitivity of increased volumes (чувствительность повышенных объемов) – согласно индикатору percentrank – граница выше которой объем будет считаться большим, то же самое, что в индикаторе Volume on bar VSA - indicator V2 – для наглядности как это работает рекомендую посмотреть его. По умолчанию задано 85 – это означает. что если текущее значение объема больше, чем 85% остальных значений на этом периоде, то такое значение объема будет считаться высоким. medium volume sensitivity (чувствительность средних объемов) – то же самое sensitivity of increased volumes но для средних объемов. multiplier of increased volumes (множитель (вес) повышенных объемов) – это эмперический коэффициент для придания особой важности повышенным объемам- по умолчанию = 20 multiplier of average volumes (множитель (вес) средних объемов) – то же самое. Что и выше, но для средних объемов – по умолчанию равно 10 reduced volume multiplier (множитель (вес) пониженных объемов) – по умолчанию равно 1. Для чтения данного индикатора необходимо знание VSA Этот индикатор рекомендуется использовать с индикаторами: Volume on bar VSA - indicator V2 BAR for VSA

Weis Wave Chart This indicator is based on the Weis Wave described by David H. Weis in his book Trades About to Happen: A Modern Adaptation of the Wyckoff Method, more info how to use this indicator can be found in this video . The Weis Wave is an adaptation of Richard D. Wyckoff’s method Wave Charts. It works in all time periods and can be applied to all asset types. Unlike other implementations I found here on TradingView, this implementation make use of a Renko-like zig zag pattern, very similar to how it is described in David H. Weis' book. The settings for the zig zag pattern are very similar to the standard Renko settings here on TradingView, in the "Renko Assignment Method" you either chose "ATR" or "Traditional" (read more about it here ). The ATR length or the brick size is then entered in the textbox "Value". You can also chose another setting in the "Renko Assignment Method" drop down named "Part of Price" which calculate the brick size from the current close and divide it by the value in the text box "Value". It is also possible to chose if the zig zag pattern shall use the high/low, the open/close or just the close as the most extreme values in its calculation, you select this in the drop down "Price Source". TradingView's pine script does currently not support to print non-static text on the chart, so it is not possible at this point to write out the volume on the zig zag chart. It is also not possible to have both an overlay and separate chart pane in the same indicator, therefor this indicator is split up in two. You can find the volume indicator here:

Weis Wave Volume This indicator is based on the Weis Wave described by David H. Weis in his book Trades About to Happen: A Modern Adaptation of the Wyckoff Method, more info how to use this indicator can also be found in this video . The Weis Wave is an adaptation of Richard D. Wyckoff’s method Wave Charts. It works in all time periods and can be applied to all asset types. For assets that do not support volume Weis propose in his book to use the true range instead, so if you want to use this indicator for assets that do not support volume, make sure to enable the checkbox "Use True Range instead of Volume". Unlike other implementations I found here on Trading, this implementation make use of a Renko-like zig zag pattern, very similar to how it is described in David H. Weis' book. The settings for the zig zag pattern are very similar to the standard Renko settings here on TradingView, in the "Renko Assignment Method" you either chose "ATR" or "Traditional" (read more about it here ). The ATR length or the brick size is then entered in the textbox "Value". You can also chose another setting in the "Renko Assignment Method" drop down named "Part of Price" which calculate the brick size from the current close and divide it by the value in the text box "Value". It is also possible to chose if the zig zag pattern shall use the high/low, the open/close or just the close as the most extreme values in its calculation, you select this in the drop down "Price Source". If you want the price to oscillate around a zero value, enable the "Oscillating" checkbox. TradingView's pine script does currently not support to print non-static text on the chart, so it is not possible at this point to write out the volume on the zig zag chart. It is also not possible to have both an overlay and separate chart pane in the same indicator, therefor this indicator is split up in two. You can find the zig zag indicator here: