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Analisis Fundamental

MACD Pro Signals: Divergence + Smart Cross EntriesA powerful and minimalist MACD indicator designed for traders who want clean visuals, precise signals, and reliable divergence detection—all in one tool. This script enhances the classic MACD by combining momentum columns, signal-line cross markers, and automatic divergence detection to help identify high-probability trading opportunities. 🚀 Key Features MACD Histogram (Column Style) Clear momentum visualization using color-coded columns Instantly spot bullish vs bearish conditions Signal Line Cross (Diamond Markers) Minimalist diamond signals for MACD ↔ signal crossovers ✔ Green = bullish momentum shift ✔ Red = bearish momentum shift Zero-Line Cross Signals Identify early trend direction changes Optional momentum filter to reduce noise Automatic Divergence Detection Detects both bullish and bearish divergence Helps anticipate potential reversals before they happen Smart Filtering Avoids weak signals near the zero line (optional) Reduces false positives in choppy markets Built-in Alerts Signal crossovers Zero-line crosses Divergence signals 📈 How Traders Use It Trend Direction MACD above 0 → bullish bias MACD below 0 → bearish bias Entries Use diamond markers for early entries on momentum shifts Reversals Combine divergence + signal cross for higher-probability setups Best Practice Works best with structure, support/resistance, or higher timeframe confirmation ⚙️ Fully Customizable Adjustable MACD parameters Choose EMA or SMA Toggle divergence and filters Control signal sensitivity ⚠️ Disclaimer This indicator is for educational and analytical purposes only. Always apply proper risk management when trading. 🚀 If you find this useful ✔ Hit 👍 Like ✔ Add to favorites ✔ Share your feedback Your support helps improve future updates!
Penunjuk Pine Script®
oleh iNsTiNcT_2025
Institutional Sniper Signal (Lite v3.5)Cansado de sinais falsos no intraday? O Institutional Sniper Signal é um algoritmo de alta precisão que combina Sazonalidade Histórica, um comitê de 13 indicadores no H4 e pullbacks no H1 para gerar entradas de rompimento (Buy/Sell Stop) cirúrgicas. Pare de operar ruído e comece a operar contexto. Descrição Completa (Para o corpo da publicação) O Institutional Sniper Signal não é apenas mais um gerador de setas. Ele foi construído com a mesma arquitetura lógica utilizada por mesas proprietárias para filtrar o ruído do mercado de varejo e encontrar pontos de exaustão com altíssima probabilidade de acerto. Em vez de focar em um único tempo gráfico, o algoritmo faz uma varredura Multi-Timeframe (MTF) invisível e só libera o gatilho quando todo o fluxo macroeconômico está alinhado. ⚙️ COMO FUNCIONA O MOTOR DO INDICADOR: O algoritmo passa por 4 camadas de blindagem antes de imprimir um sinal na sua tela: 1. Filtro de Sazonalidade (Opcional): O script possui um banco de dados de 15 anos de sazonalidade para Forex (ex: EURUSD) e Índices (ex: NASDAQ). Se a "Sazonalidade Estrita" estiver ligada, o robô bloqueia operações contra a estatística do mês vigente. 2. O Comitê Macro (H4): Utilizando requisições de alta performance (Tuplas), o script analisa 13 indicadores institucionais no gráfico de 4 Horas (EMA 200, EMA 50, WMA 100, SAR, Bollinger, Ichimoku, DEMA, TEMA, etc.). O sinal só é armado se houver um consenso esmagador (padrão: 10 de 13 votos) na mesma direção. 3. A Zona de Abate (H1): O setup busca o "retorno à média". O preço precisa tocar ou cruzar a Média Móvel Exponencial de 20 períodos (EMA 20) do gráfico de 1 Hora. 4. Gatilho de Rompimento (Fractal): Após tocar na EMA 20 e validar o Macro, o indicador localiza o Fractal (Mínima/Máxima) dos últimos 5 candles e projeta suas ordens pendentes. 🎯 SAÍDA VISUAL E OPERACIONAL: Ao invés de entrar a mercado, o indicador traça na sua tela os níveis exatos para você posicionar ordens pendentes em sua corretora: Linhas Tracejadas: O ponto exato do seu BUY STOP ou SELL STOP (já com o respiro/offset calculado). Linhas Sólidas: O ponto exato do seu STOP LOSS, calculado dinamicamente com base no ATR (Average True Range) para evitar violinadas. 💡 PRINCIPAIS RECURSOS: Detecção de Ativo: Modo Forex ou Modo NASDAQ com ajustes automáticos de pontuação e spread. Anti-Overtrading: Limite diário de sinais (ajustável). Se o mercado ficar lateral em cima da média, o indicador silencia após "X" disparos no dia para proteger seu capital. Zero Lag: Otimizado com request.security em tupla para não sobrecarregar o seu gráfico. 🛠️ COMO UTILIZAR: Adicione o indicador a um gráfico intraday (Recomendado: M30). Configure o modo de operação (Forex ou Índice) nas configurações. Aguarde o sinal visual. Quando a linha tracejada aparecer, posicione sua ordem de rompimento (Buy Stop / Sell Stop) e seu risco exato na linha sólida vermelha. (Nota de Transparência: Este indicador não repinta os seus sinais. A avaliação do H4 é feita de forma estática barmerge.lookahead_off para garantir a integridade do backtest visual).
Penunjuk Pine Script®
oleh TTICuringaEconomico
Path-Based Session Volume Profile [CLEVER]📌 Overview Path-Based Session Volume Profile is a session-focused analytical tool designed to visualize how trading volume is distributed across price levels within a defined market session. Unlike simplified allocation models that assign an entire candle’s volume to a single closing price or midpoint, this script incorporates the intrabar price path (Open–High–Low–Close behavior) to distribute volume across multiple price segments inside each bar. The objective of this approach is not to generate predictions or trading signals, but to present a structured representation of session-based market participation. By accounting for the price traversal that occurs within each bar, the indicator aims to provide a more granular view of how volume may be interacting with different price zones during the session. From the beginning of the selected session, the script incrementally accumulates volume data and distributes it across predefined price rows. With each confirmed bar close, the internal distribution matrix updates to reflect developing session structure. This allows users to observe how volume concentration evolves over time, rather than only seeing a finalized static profile at session end. Through this structure, users can visually assess: Areas of relatively higher volume concentration Areas of relatively lower participation The Developing and Final Point of Control (POC) Value Area High (VAH) and Value Area Low (VAL) Shifts in participation as the session progresses The calculation model does not rely on future data and does not make performance claims. All outputs are derived from available historical and real-time bar data and update in accordance with bar confirmations. The script is designed as a structural visualization tool rather than an automated decision-making system. The path-based distribution logic is intended to reduce oversimplification in volume allocation by considering the internal price movement of each candle. This allows traders to integrate session-level volume context into their existing analytical frameworks, such as market structure analysis, liquidity studies, range evaluation, or breakout observation. This tool may be relevant for intraday traders, futures and forex participants, and any user interested in session-specific volume dynamics. Its design emphasizes clarity, modularity, and customization flexibility so that users can adapt the visualization to their preferred workflow. In summary, Path-Based Session Volume Profile provides a structured, session-oriented visualization of price–volume interaction using a path-aware distribution method, enabling objective analysis of market participation within defined trading sessions. 📐 Core Concept The core concept of Path-Based Session Volume Profile is to represent session-level volume distribution using a path-aware allocation model instead of a simplified single-price assignment approach. Traditional volume profile methods often allocate an entire candle’s volume to one reference price (such as the close, typical price, or midpoint). While computationally efficient, that method may not fully reflect the internal price traversal that occurred during the bar. This script introduces a structured distribution model that considers the Open–High–Low–Close (OHLC) path to distribute volume across multiple price levels inside each candle’s range. 1️⃣ Session-Based Data Accumulation At the start of a defined trading session, the script initializes a price grid composed of fixed-height rows. These rows act as containers for accumulating volume data. As each confirmed bar closes within the session: The candle’s high–low range is mapped against the predefined price rows. Only the rows intersecting the candle’s price range participate in volume allocation. The session matrix is updated incrementally rather than recalculated from scratch. This process continues until the session ends, at which point the final distribution represents the cumulative session profile. 2️⃣ Path-Aware Volume Distribution Logic Instead of assigning total volume to a single price point, the script distributes volume proportionally across the price levels traversed by the candle. The internal logic follows these structural ideas: The candle’s total range (High − Low) is divided into segments aligned with profile rows. Volume is proportionally distributed based on how much of the candle overlaps each price row. This results in a multi-level allocation rather than a single-node assignment. By doing so, the indicator attempts to reduce concentration bias that can occur when all volume is attributed to a single reference price. This is not a tick-level reconstruction and does not simulate actual transaction flow. Instead, it is a structured approximation based strictly on available OHLC data. 3️⃣ Development of Structural Reference Points As volume accumulates across price rows during the session, structural reference levels are derived: Point of Control (POC): The row containing the highest accumulated volume. Value Area: A percentage-based range around the POC representing a specified share of total session volume. High and Low Volume Zones: Areas where participation is relatively concentrated or comparatively light. These levels update dynamically during the session and stabilize once the session completes. 4️⃣ Incremental Update Model The script operates using an incremental accumulation model: At each confirmed bar close, new volume is added to the session matrix. Historical rows remain intact and are not retroactively modified beyond logical recalculation. The profile visually evolves throughout the session, allowing users to observe structural development. This approach ensures consistency between historical and real-time behavior. 5️⃣ Design Philosophy The design philosophy behind this indicator emphasizes: Structural clarity over signal generation Objective visualization over predictive modeling Session-specific context rather than full-chart aggregation It does not attempt to forecast market direction, guarantee outcomes, or replicate order book data. Instead, it provides a systematic framework for observing how volume is distributed across price within a defined session window. Conceptual Summary In essence, the core concept is built on three foundations: Session isolation – Volume is segmented strictly within defined session boundaries. Path-based allocation – Volume is distributed across price levels using OHLC range overlap. Structural extraction – Key reference levels (POC, value range, participation clusters) are derived from accumulated session data. This structure allows users to analyze price–volume interaction within a session using a method that extends beyond single-price volume assignment, while remaining grounded in available bar data. ⚙️ How to Use The Path-Based Session Volume Profile is designed as a structural analysis tool. It is not intended to generate automated trade signals or directional forecasts. Instead, it provides session-based volume context that users may incorporate into their own analytical framework. Below is a structured guide on how the tool can be applied effectively. 1️⃣ Select the Appropriate Session Begin by defining the trading session you want to analyze (for example: regular market hours, London session, New York session, or a custom intraday window). Each session is treated independently. The profile: Resets at the beginning of the selected session Accumulates volume only within that session Stops updating once the session closes Using clearly defined sessions allows you to evaluate participation dynamics specific to that market period. 2️⃣ Observe the Developing Profile During the Session As the session progresses, the profile builds incrementally. Users can monitor: Where volume is gradually concentrating Whether the Point of Control (POC) is shifting upward or downward How the Value Area expands or contracts The developing profile can provide structural context about how participation is evolving, rather than waiting for the session to complete. It is important to interpret this as structural information, not as a standalone trading signal. 3️⃣ Analyze High and Low Volume Zones The profile highlights relative volume concentration across price levels. Users may study: High Volume Nodes (HVNs) as areas where price previously experienced sustained interaction Low Volume Zones (LVNs) as areas of comparatively lighter participation These areas can be used to evaluate how price behaves when revisiting prior session structure. However, outcomes are not guaranteed, and interpretation should remain contextual. 4️⃣ Use the Point of Control (POC) as a Structural Reference The POC represents the price row with the highest accumulated volume during the session. Traders may observe: Whether price remains near the POC (indicating balance-like behavior) Whether price moves away from the POC and fails to return Whether the POC shifts significantly during the session The POC is best used as a reference level within broader market structure analysis rather than as an isolated decision trigger. 5️⃣ Evaluate the Value Area (VAH & VAL) The Value Area defines a percentage-based region around the POC that contains the majority of session volume. Users may examine: Whether price trades inside or outside the Value Area How price reacts when re-entering the Value Area Whether the session appears rotational (within value) or directional (outside value) Again, this should be interpreted as contextual structure rather than predictive confirmation. 6️⃣ Integrate With Your Existing Strategy This indicator is designed to complement—not replace—other analytical methods. It can be combined with: Market structure analysis Liquidity zone identification Breakout or range-based strategies Multi-timeframe bias evaluation The volume profile provides structural context that may enhance decision-making, but it should not be treated as a complete trading system on its own. 7️⃣ Adjust Settings to Fit Your Workflow Users may customize: Number of price rows (profile resolution) Value Area percentage Visual styling preferences Session timing inputs Higher row counts may provide more granular distribution, while lower counts may improve clarity and performance on lower-powered devices. Adjust these settings according to your chart timeframe and personal workflow preferences. Practical Usage Considerations The profile reflects approximated distribution based on OHLC data, not tick-level transaction data. Real-time structure may evolve until the session completes. Historical sessions remain fixed once completed. The tool does not provide entry/exit instructions or financial advice. Summary To use the Path-Based Session Volume Profile effectively: Define your session clearly. Monitor developing structure during the session. Observe POC, Value Area, and volume concentration shifts. Integrate these observations into a broader analytical framework. The indicator’s primary purpose is to provide structured visibility into session-level price–volume interaction, allowing users to analyze participation dynamics within defined market windows. ⚙️ How It Works The Path-Based Session Volume Profile operates using a structured, session-isolated accumulation engine that distributes volume across price levels using OHLC-based range overlap logic. The internal workflow can be understood in five core stages: 1️⃣ Session Initialization When a new user-defined session begins: The script identifies the session start timestamp. All previous session data is finalized. A fresh internal volume matrix is initialized. A fixed price grid (rows) is created to segment the session’s price range. Each row represents a defined price interval. These rows act as containers that will accumulate volume as the session progresses. The profile is therefore isolated strictly within session boundaries and does not mix volume across sessions. 2️⃣ Dynamic Price Range Tracking During the session: The script continuously tracks the evolving session high and session low. If a new extreme is formed, the internal price boundaries adjust. The row grid recalibrates logically to maintain structural consistency. This ensures that the profile remains aligned with the true price range of the active session rather than a static predefined range. 3️⃣ Path-Based Volume Allocation Per Bar When a bar closes inside the session: The candle’s high–low range is identified. The script determines which price rows intersect with that range. Instead of assigning total volume to a single price point, the script distributes volume proportionally across all overlapping rows. The proportional allocation is based on: The size of overlap between the candle’s range and each price row. The total range of the candle. This produces a segmented volume distribution across price levels rather than a single concentration node. Important clarification: This method is an OHLC-based approximation. It does not reconstruct tick-by-tick execution data or actual order flow. It distributes volume logically based on available bar data only. 4️⃣ Incremental Accumulation Model After distribution: The allocated volume is added to each corresponding row’s cumulative total. Previously accumulated rows remain unchanged except for new additions. The matrix grows progressively throughout the session. This incremental structure ensures: Stability between historical and real-time behavior No reliance on forward-looking data Logical consistency across bars The developing profile updates only as new confirmed bars close. 5️⃣ Structural Level Derivation Once the volume matrix updates, structural reference levels are computed: ▪ Point of Control (POC) The row containing the highest accumulated volume becomes the session’s POC. This level may shift during the session as distribution evolves. ▪ Value Area (VAH & VAL) The script calculates a user-defined percentage (commonly 70%) of total session volume. It then: Expands outward from the POC Includes adjacent rows Stops once the target percentage threshold is reached The upper boundary becomes the Value Area High (VAH). The lower boundary becomes the Value Area Low (VAL). ▪ High and Low Participation Zones By comparing relative row totals, the script visually distinguishes: Higher concentration clusters Comparatively lighter participation zones These are descriptive structural outputs, not predictive signals. 6️⃣ Session Completion When the session ends: Accumulation stops. Structural levels stabilize. The profile becomes fixed for that session. A new session triggers a complete reset and the process repeats independently. Technical Design Characteristics The internal architecture emphasizes: Session isolation Path-aware proportional allocation Incremental accumulation Deterministic level calculation The script does not: Use future bars Modify past completed sessions Provide trade automation Guarantee market behavior It is a visualization framework built on available OHLC and volume data. Conceptual Summary In simplified terms, the workflow is: Create session grid Track evolving session range Distribute each bar’s volume across overlapped price rows Accumulate totals incrementally Derive structural reference levels Finalize profile at session end The result is a session-based structural representation of how volume is distributed across price using a path-aware allocation method grounded in confirmed bar data. 🎯 Key Features 📊 Session-Based Volume Isolation The Path-Based Session Volume Profile is built to provide a structured view of volume distribution within a defined trading session by combining session isolation with a path-aware allocation model. Instead of assigning volume to a single price reference such as the close or typical price, the script distributes each bar’s volume across multiple price levels based on how the candle’s high–low range interacts with a predefined price grid. This allows the indicator to present a more granular representation of where participation may have occurred during the session, strictly using available OHLC and volume data. 🔄 Independent Session Processing A core feature of the script is its session-based isolation system. Each session is treated independently, meaning volume data is accumulated only within the selected time window and does not carry over into other sessions. At the start of a new session, all internal calculations reset, ensuring that each profile reflects only that specific market period. This structure allows users to analyze volume behavior in a clean, segmented format that is aligned with intraday or session-based trading workflows. 📈 Developing Profile Structure The indicator also features a developing profile mechanism, where volume distribution is updated incrementally as each bar closes. This allows the profile to evolve in real time, showing how volume concentration shifts during the session rather than only presenting a finalized end-of-session structure. As new bars are confirmed, the internal matrix is updated and structural levels are recalculated accordingly, providing continuous feedback on session development. 🎯 Point of Control (POC) Behavior Another important component is the Point of Control (POC), which is derived from the price level containing the highest accumulated volume within the session. This level is not static during the session and may shift as new volume is added, reflecting changes in participation distribution. Once the session concludes, the final POC stabilizes and represents the completed session’s highest activity zone. 📐 Value Area Calculation (VAH & VAL) The script also calculates a configurable Value Area based on a user-defined percentage of total session volume. Starting from the POC, the Value Area expands outward until the specified volume threshold is reached, forming upper and lower boundaries known as the Value Area High (VAH) and Value Area Low (VAL). These levels represent the portion of the session where a majority of activity is concentrated, based purely on accumulated volume distribution. 🧭 Volume Concentration Zones In addition to these core levels, the profile visually distinguishes areas of relatively higher and lower participation across price. These zones are derived from comparative volume density across rows and help represent structural variation within the session. Higher concentration areas and lower participation zones are displayed as part of the overall profile structure, without implying directional bias or predictive significance. ⚙️ Customization and Flexibility The script is also designed with flexibility in mind, allowing users to adjust the number of price rows, visual style, and session parameters according to their trading environment. This makes it adaptable across different instruments and timeframes, from lower timeframe intraday charts to higher timeframe session analysis. 🧠 Design Philosophy Overall, the key features focus on presenting a session-based, structurally consistent view of volume distribution using a deterministic, OHLC-based allocation model. The indicator emphasizes transparency, modularity, and analytical context rather than prediction or automated decision-making, making it suitable for users who study market structure and volume behavior within defined trading sessions. ⚙️ Settings & Customization The Path-Based Session Volume Profile provides a highly configurable settings structure that allows users to adapt the indicator’s behavior, visual output, and session logic according to different trading styles, instruments, and timeframe requirements. The customization system is designed to modify how the profile is displayed and how data is interpreted visually, without changing the core calculation logic of the volume distribution engine. 📊 Profile Mode Configuration The indicator offers two primary operational modes: Session Mode and Fixed Range Mode. In Session Mode, the profile automatically resets at the beginning of each defined trading session and builds continuously until the session ends. This mode is typically used for intraday analysis where each session represents a distinct market period. In Fixed Range Mode, users can manually define a start and end timestamp, allowing the profile to be constructed over a custom-selected range rather than an automatically detected session. This provides flexibility for analyzing specific price movements or historical events within a defined time window. 🕒 Session Timing Controls In Fixed Range Mode, users can define both the start and end time of the analysis window. These inputs determine the exact portion of price data included in the profile calculation. If only a start time is defined, the profile continues until manually stopped or until the chart data ends. This allows partial or open-ended analysis depending on user preference. These controls are particularly useful for isolating specific market events, volatility expansions, or reaction periods around key levels. 📐 Number of Rows (Profile Resolution) The Number of Rows setting defines the vertical resolution of the volume profile. Each row represents a fixed price interval within the session’s high–low range. Increasing the number of rows results in a more detailed and granular distribution of volume across price levels, while reducing the number of rows produces a smoother and more simplified structure. This setting directly affects how detailed the volume concentration visualization appears and should be adjusted based on chart timeframe and analysis depth. 📍 Profile Placement Control The Placement setting allows users to choose whether the profile is drawn on the left or right side of the chart. This does not affect the underlying calculations but changes the visual alignment of the profile relative to price action. Right-side placement is commonly used for real-time analysis, while left-side placement may be preferred for comparative or historical visual structuring. 🎨 Visual Style Modes The indicator provides two main visualization styles: Split Volume and Delta Heatmap. In Split Volume mode, buy and sell volume are visually separated within each price row, allowing users to observe relative participation balance. In Delta Heatmap mode, the script emphasizes the difference between buying and selling pressure within each row, using intensity-based shading to represent dominance. These modes offer different perspectives on the same underlying volume data without altering the core distribution logic. 🌈 Color Customization System Users can fully customize the visual appearance of the profile through a flexible color input system. Separate colors are assigned to buy volume, sell volume, Point of Control (POC), Value Area boundaries, High Volume Nodes (HVN), and Low Volume Nodes (LVN). This allows traders to visually distinguish different structural elements of the profile according to their preference or visual clarity needs. Adjusting colors does not impact calculations and is purely for readability and chart integration. 🌫️ Transparency & Heatmap Sensitivity The Base Transparency (bgAlpha) setting controls the overall opacity of volume nodes, allowing users to emphasize or soften the visual intensity of the profile. Lower values create more solid visual blocks, while higher values produce a lighter appearance. The optional Heatmap Mode dynamically adjusts transparency based on relative volume density, meaning high-activity zones appear more prominent while low-activity areas become more transparent. This enhances structural contrast without altering underlying data. 📊 Value Area Percentage Control The Value Area setting defines what portion of total session volume is used to construct the Value Area High (VAH) and Value Area Low (VAL). The default value is typically set around 70%, but users can adjust it between 50% and 90%. A higher percentage expands the value area to include more of the session’s volume distribution, while a lower percentage creates a more concentrated and narrow value zone around the Point of Control. 📌 Structural Display Toggles Users can enable or disable multiple structural elements such as the developing POC, final POC line, Value Area boundaries, and HVN/LVN zones. These toggles allow traders to simplify or enrich the visual output depending on their analysis requirements. For example, some users may prefer only POC and Value Area visibility, while others may activate full structural visualization for deeper market context. 🧠 Customization Philosophy The customization system is designed to support flexibility without altering the core logic of the indicator. All settings influence visual representation or session boundaries, while the underlying OHLC-based path distribution model remains consistent. This ensures that analytical integrity is preserved while allowing users to tailor the indicator to different markets, timeframes, and personal trading workflows. 🧠 Design Rationale & Component Interaction (How Everything Works Together) The Path-Based Session Volume Profile combines multiple analytical components into a single structured framework to represent session-based volume distribution in a more detailed and layered form. Each feature is not designed in isolation; instead, all modules operate on the same underlying dataset (OHLC + Volume) and contribute to a unified session profile representation. The reason these elements are combined is to move from a simple volume-at-price representation toward a structured session model that reflects different dimensions of participation: distribution, concentration, balance, and relative strength across price levels. 📊 1️⃣ Core Engine: Path-Based Volume Distribution At the foundation of the script is the path-based allocation engine, which distributes each candle’s volume across multiple price rows based on OHLC range interaction. This is the primary data transformation layer. All other features depend on this stage because it creates the base structure of: Volume per price level Session-wide accumulation matrix Relative participation across rows Without this layer, the indicator would reduce to a simple single-price volume aggregation, which would lose internal structure. 🧩 2️⃣ Session-Based Segmentation Layer Session logic acts as a boundary system that isolates data into distinct time windows. This ensures that: Each session is processed independently Volume does not mix across different market periods Structural calculations remain context-specific This layer is essential because volume profile interpretation is highly dependent on time segmentation. Without session separation, structural levels like POC and Value Area would lose contextual meaning. 🎯 3️⃣ Point of Control (POC) Calculation Layer The POC is derived from the same volume matrix created by the distribution engine. It identifies the price row with the highest accumulated participation. It works as: A reference equilibrium level of the session A dynamic output during session formation A stabilized structural level after session completion The POC does not operate independently; it is a direct result of the aggregated distribution process. 📐 4️⃣ Value Area Construction Layer (VAH / VAL) The Value Area is built on top of the same cumulative volume data used for POC calculation. It expands outward from the POC until a defined percentage of total volume is included. This means: It depends entirely on the existing distribution matrix It uses cumulative row volumes as input It defines a bounded region of high participation This layer provides a secondary structural boundary around the POC, representing concentration range rather than a single level. 🧭 5️⃣ Volume Concentration Classification (HVN / LVN Logic) High Volume Nodes (HVN) and Low Volume Nodes (LVN) are derived by comparing adjacent row volumes within the same distribution structure. They function as: Relative peaks and troughs within the session profile Structural variation indicators across price levels Contextual zones of interest, not standalone signals These elements do not introduce new data; they analyze the same dataset from a comparative perspective. 📈 6️⃣ Developing Profile Layer The developing profile system continuously updates the same underlying matrix as new bars close. This ensures: Real-time structural evolution Progressive refinement of POC and Value Area Live reflection of market participation changes This layer is not separate from the core engine; it is a temporal update mechanism applied to the same dataset. 🎨 7️⃣ Visualization Layer (Heatmap / Split View) The visual system is a presentation layer built on top of calculated data. It does not affect calculations but changes how results are displayed: Split Volume shows directional distribution (buy vs sell approximation) Delta Heatmap shows imbalance intensity visually Color and transparency reflect relative participation This layer only enhances readability and does not modify logic. 🔗 How All Components Work Together All parts of the script are connected through a single flow: OHLC + Volume data is collected per bar Path-based logic distributes volume across price rows A cumulative session matrix is built POC is extracted from highest volume concentration Value Area is derived around POC using cumulative thresholds HVN/LVN zones are identified through relative comparisons Visualization layer renders the structure dynamically Each module is dependent on the same underlying dataset, but each serves a different analytical purpose within the session structure. 🧠 Design Logic Summary These components are combined because the goal is not to create separate indicators, but to build a unified session-based volume framework. Each layer adds a different perspective on the same data: Distribution → where activity occurred POC → where maximum acceptance occurred Value Area → where majority participation occurred HVN/LVN → how structure varies across price Development → how structure evolves over time Together, they form a structured view of session-based market participation using only OHLC and volume data, without predictive assumptions or external data sources. ⚠️ Disclaimer The Path-Based Session Volume Profile is a technical analysis tool designed to visualize and structure volume distribution across price levels within a defined trading session. It is based entirely on historical and real-time OHLC (Open, High, Low, Close) data and volume data provided by the trading platform. The calculations performed by this script are deterministic and rely strictly on available market data without using any forward-looking information. This indicator is developed for educational and analytical purposes only. It is intended to help users better understand how volume may be distributed across price levels within a session and how structural elements such as Point of Control (POC), Value Area (VAH/VAL), and volume concentration zones are formed. It does not generate trading signals, does not provide financial advice, and does not recommend any buy or sell decisions. All outputs shown by the indicator represent derived calculations based on historical price movement and volume activity. These outputs should be interpreted as contextual market structure information rather than predictive indicators of future price behavior. Market conditions are dynamic, and past volume distribution does not guarantee or imply any future performance, outcome, or market direction. The script does not use tick-level order flow data, broker-level execution data, or any external order book information. Instead, it uses an OHLC-based approximation method to distribute volume across price levels. As such, the results should be understood as a structured representation of market activity rather than a precise reconstruction of actual traded volume at each price. Users are solely responsible for any trading or investment decisions made based on this indicator. It is strongly recommended that this tool be used in combination with other forms of analysis, risk management techniques, and personal judgment. No indicator or analytical tool can eliminate risk or ensure profitability in financial markets. Under no circumstances should this script be considered a guaranteed or accurate predictor of market behavior. All trading involves risk, including the possible loss of capital, and users should fully understand these risks before making any trading decisions. By using this indicator, the user acknowledges that it is provided “as is,” without any warranties of performance, accuracy, or fitness for a particular purpose. The developer assumes no responsibility or liability for any financial losses or decisions made based on its output.
Penunjuk Pine Script®
oleh TheCleverTraders
CREA DOM v.1.0A right-anchored Depth of Market ladder for the current pane, showing 10 price levels above and 10 below the current price. Bid and ask volume are estimated from bar data (buy/sell volume proxy) and displayed as horizontal bars growing outward from the centre price column — bids to the left in cyan, asks to the right in red. The current price row is always highlighted. Volume numbers are shown on each side, level spacing is ATR-derived and snapped to the instrument's tick size, and a bid/ask imbalance indicator is displayed at the bottom. Font sizes for row labels, the current price, and the header are independently configurable from the settings panel. Note: True Level 2 data requires a broker-integrated feed or a premium TradingView plan with DOM access. This indicator synthesises depth from bar volume using exponential decay — it reflects directional pressure, not real order book data.
Penunjuk Pine Script®
oleh ionutz666bzz
BTC Valuation Cycle [Alpha Extract]A sophisticated multi-metric Bitcoin valuation framework that synthesizes on-chain analytics including SOPR, MVRV, Price-to-Realized, and Mayer Multiple into a unified 0-100 cycle oscillator with six-tier zone classification for market cycle identification. Utilizing logistic transformation with configurable weighting and z-score normalization, this indicator delivers institutional-grade Bitcoin-specific valuation assessment with pivot-based extreme detection and comprehensive alert system. The system's weighted composite architecture combined with adaptive curve intensity enables precise calibration of cycle sensitivity while maintaining statistical validity across Bitcoin's multi-year market cycles. 🔶 Advanced Multi-Metric Synthesis Engine Implements sophisticated composite calculation combining four distinct Bitcoin valuation metrics with configurable weighting and normalization framework. The system retrieves SOPR (Spent Output Profit Ratio), MVRV (Market Value to Realized Value), Price-to-Realized ratio, and Mayer Multiple from on-chain sources, applies z-score normalization to each metric over configurable periods, transforms via logistic function for 0-100 scaling, and generates weighted average creating unified cycle score. // Component Score Calculation SOPR_Centered = SOPR - 1.0 SOPR_Z = z_score(SOPR_Centered, Normalization_Length) SOPR_Score = logistic_100(SOPR_Z, Curve_Intensity) Price_to_Realized_Z = z_score(Price / Realized_Price, Normalization_Length) PR_Score = logistic_100(Price_to_Realized_Z, Curve_Intensity) MVRV_Z = z_score(Market_Cap / Realized_Cap, Normalization_Length) MVRV_Score = logistic_100(MVRV_Z, Curve_Intensity) Mayer_Z = z_score(Mayer_Multiple, Normalization_Length) Mayer_Score = logistic_100(Mayer_Z, Curve_Intensity) // Weighted Composite Cycle = (SOPR_Score × W_SOPR + PR_Score × W_PR + MVRV_Score × W_MVRV + Mayer_Score × W_Mayer) / (W_SOPR + W_PR + W_MVRV + W_Mayer) 🔶 Understanding Bitcoin Valuation Metrics SOPR (Spent Output Profit Ratio) measures the degree of profit for coins moved on-chain, calculated as value sold divided by value paid. Values above 1.0 indicate profitable selling (distribution), below 1.0 indicate loss-taking (capitulation). The system centers SOPR around 1.0 for normalization. MVRV (Market Value to Realized Value) compares current market cap to realized cap (aggregate cost basis). High MVRV signals overvaluation as price exceeds average acquisition cost; low MVRV suggests undervaluation. The system offers Ratio mode (raw MVRV), Z-Score mode (statistical deviation), or Blend mode (average of both). Price-to-Realized Ratio directly compares current BTC price to realized price (realized cap divided by circulating supply), providing cleaner valuation signal than MVRV by removing market cap distortions. Mayer Multiple measures price relative to 200-day moving average. Values above 2.4 historically mark tops; values near or below 1.0 mark bottoms. The system normalizes this classic technical indicator alongside on-chain metrics. 🔶 Logistic Transformation Framework Features sophisticated logistic function application converting unbounded z-scores into bounded 0-100 range with configurable curve intensity controlling sensitivity. The system applies formula: 100 / (1 + exp(-z × k)) where z is z-score and k is curve intensity (default 0.90), creates S-curve transformation preserving relative relationships while preventing extreme outliers, and enables smooth gradient visualization across entire cycle range. 🔶 Six-Tier Cycle Zone Classification Implements comprehensive market cycle framework dividing 0-100 range into six distinct zones with configurable thresholds representing Bitcoin's characteristic bubble and bust patterns. The system defines Bottom Extreme (default <10, accumulation zone), Cold Zone (10-25, early recovery), Lower Mid (25-40, neutral to bullish), Upper Mid (40-60, bullish), Hot Zone (60-75, late bull market), and Top Extreme (>75, euphoria/distribution) with dynamic color coding. 🔶 Pivot-Based Extreme Detection System Provides intelligent local extreme identification using pivot high/low detection with zone threshold filtering and visual capsule markers. The system detects pivot highs above Hot Zone threshold and pivot lows below Cold Zone threshold using configurable left/right bars, creates horizontal capsule visualizations at exact extreme values with color-coded centers (red for tops, cyan for bottoms), and maintains rolling array limited to maximum capsule count for clean chart presentation. 🔶 MVRV Calculation Mode Selection Offers three distinct MVRV calculation approaches optimizing for different market conditions and analytical preferences. Ratio mode uses raw Market Cap / Realized Cap for direct valuation comparison, Z-Score mode applies statistical normalization emphasizing deviations from historical mean, and Blend mode (default) averages both approaches balancing absolute valuation with statistical context for robust signal generation. 🔶 Configurable Metric Weighting System Features flexible weight allocation enabling traders to emphasize preferred metrics or disable unreliable components during specific market regimes. The system accepts 0.0-N weight values for each metric (default 1.0 all equal), automatically handles missing data by excluding NA metrics from composite, recalculates weighted average dynamically, and enables custom cycle calibration based on trader's confidence in different on-chain signals. 🔶 Confirmed HTF Data Integration Implements rigorous anti-repaint methodology using confirmed higher-timeframe values with offset preventing live bar distortion. The system retrieves all on-chain metrics from daily timeframe with 1-bar offset ensuring only completed daily candle data influences cycle score, applies identical offset to Mayer Multiple calculation, and maintains signal stability across real-time updates preventing false extreme alerts. 🔶 Comprehensive Alert Framework Provides five distinct alert conditions covering critical cycle events and threshold breaches with descriptive messages. The system triggers Top Extreme alert on crossover above top threshold (default 90), Bottom Extreme alert on crossunder below bottom threshold (default 10), Hot Rejection alert when cycle falls from Hot Zone, Cold Reclaim alert when cycle rises from Cold Zone, and Mayer Threshold breach alert for traditional technical confirmation. 🔶 Gradient Zone Visualization Architecture Creates intuitive color-coded area plot with six distinct color zones reflecting current cycle position through visual spectrum from cyan (extreme bottom) through purple/orange to red (extreme top). The system applies dynamic zone coloring to both area fill and cycle value display, implements configurable area transparency (default opaque), and maintains consistent color scheme across oscillator pane, table values, and capsule markers. 🔶 Real-Time Diagnostics System Features comprehensive data availability monitoring with missing metric labels and detailed value table showing all component metrics. The system detects NA values in SOPR, Realized Price, MVRV, or Mayer Multiple, displays warning label listing unavailable metrics, and provides table overlay showing current values for Cycle score, all four components, MVRV-Z, Mayer MA, and threshold with color-coded formatting. 🔶 Performance Optimization Framework Employs efficient calculation methods with null-safe division functions, optimized array management for capsule storage, and conditional plotting minimizing unnecessary rendering. The system includes streamlined weighted average calculation skipping NA metrics, smart capsule cleanup maintaining maximum limit through oldest-first deletion, and minimal recalculation overhead through var declarations and confirmed bar logic. This indicator delivers sophisticated Bitcoin-specific valuation analysis through multi-metric on-chain synthesis unavailable in traditional technical indicators. By combining SOPR (profit/loss behavior), MVRV (cost basis valuation), Price-to-Realized (pure valuation), and Mayer Multiple (technical context) into unified cycle framework with statistical normalization, it provides comprehensive market cycle assessment grounded in blockchain fundamentals. The six-tier zone system maps directly to Bitcoin's characteristic 4-year halving cycles with Bottom Extreme zones historically marking generational buying opportunities and Top Extreme zones marking distribution phases. Perfect for long-term Bitcoin investors seeking data-driven cycle timing, position sizing based on valuation extremes (increase allocation in Cold/Bottom zones, reduce in Hot/Top zones), and objective framework for navigating Bitcoin's volatile multi-year cycles with alerts providing advance warning of major cycle transitions requiring portfolio reassessment.
Penunjuk Pine Script®
oleh AlphaExtract
Apex Dashboard Title: Apex Institutional Dashboard The Problem with SMC Indicators Most Smart Money Concepts (SMC) and institutional trading scripts suffer from the exact same fatal flaw: Chart Clutter. By the time your indicator finishes drawing Fair Value Gaps, Order Blocks, Liquidity Lines, session backgrounds, and text labels, your candlesticks are completely buried. You lose the ability to actually read pure price action. The Solution: The Apex Dashboard The Apex Institutional Dashboard is a "Stealth Engine." It calculates thousands of data points, tracks institutional liquidity sweeps, monitors volume delta, and analyzes multi-timeframe trends—all entirely in the background. Instead of painting 100 different boxes on your screen, it distills all of that institutional math into two ultra-clean, compact HUD (Heads-Up Display) tables anchored to the corners of your chart. You get elite-level confluence data, and your candlesticks remain 100% naked and readable. 📊 Feature 1: The MTF Bias Dashboard Anchored by default to the Top Right, this panel gives you an instant macro-to-micro view of the market. MTF Alignment: Calculates the real-time EMA-based trend bias across the Daily, 4H, 1H, 15m, and 5m timeframes. Regime Detection: Uses a customized Choppiness Index (CHOP) to definitively tell you if the market is trending (✦ TRENDING) or trapped in a sideways range (⚡ CHOPPY). CVD Flow (Cumulative Volume Delta): Measures the delta between buying and selling volume to warn you of hidden institutional inflow or outflow before the price breaks. A-M-D Session Tracking: Tracks the Asia, London, and New York sessions, automatically identifying the current phase of the ICT Accumulation, Manipulation, and Distribution (AMD) cycle. 🎯 Feature 2: The Action Status Panel Anchored by default to the Bottom Left, this is the brain of the operation. The Apex Engine constantly scans for high-probability setups and feeds you live status updates based on deep confluence. 💎 STRONG BUY / SELL: Fires only when the market sweeps Tier-1 Liquidity (PDH/PDL or Major Swings), aligns with Linear Regression momentum, clears Chandelier Volatility Exits, and shows confirming CVD volume. 📈 SWING LONG / SHORT: A dedicated macro engine that hunts for major higher-timeframe reversals, keeping you in massive trends. 🟢 REGULAR / WEAK SIGNALS: Identifies minor structural breaks and continuation setups during runaway parabolic trends. ⏸️ CHOP WAIT: The ultimate account saver. If the engine detects a liquidity sweep but the Choppiness Index confirms the market is in a dead range, it explicitly warns you to wait, filtering out fake breakouts. ⚙️ Under The Hood (The Invisible Engine) Even though you can't see the drawings, this script is running heavy institutional logic: Adaptive Sweep Memory: The script remembers recent liquidity sweeps (PDH, PDL, Major/Minor BSL and SSL) and holds them in an elastic memory buffer to catch delayed "V-shaped" reversals. Parabolic Runaway Support: In a raging trend, the script adapts. It lowers its sweep requirements, allowing you to catch aggressive 1-to-2 candle pullbacks into unmitigated zones without waiting for a deep structural flush. Displacement Override: Detects massive ATR volume anomalies. If institutions violently inject capital, the script overrides lagging indicators to get you in instantly. Ghost Anchor Technology: Custom built to bypass TradingView's UI rendering bugs. The tables will never detach from your candles, and the script prevents auto-generating annoying secondary price scales. Best Used For: Built specifically for XAU/USD (Gold) on the 5-minute timeframe, but robust enough to trade Forex, Indices, and Crypto across any timeframe. Trade the data, not the noise.
Penunjuk Pine Script®
oleh arunsinghhelios
AG Pro Value Shift Ladder [AGPro Series]# AG Pro Value Shift Ladder ## Overview AG Pro Value Shift Ladder maps the ladder of accepted-value zones that price has repeatedly visited, showing how the market's notion of "fair value" migrates up, down, or breaks over time. Each rung of the ladder is a shelf anchored to a confirmed pivot, validated by the time price spent inside its band and the volume that traded there. Held, broken, and reclaimed shelves are tracked together, and the resulting sequence is summarized as a single ladder state — Rising, Falling, Mixed, Broken, Reclaiming, Building, or Neutral. The tool is intended as a structural reference for discretionary traders who want to see where price has been accepted, where it has been rejected, and how those anchors are drifting. It does not generate buy/sell signals and is not a trading system. --- ## Unique Edge Most shelf, S/R, or volume-based tools plot every candidate level they can find and leave the user to filter. Value Shift Ladder does three things differently: - **Pivot-anchored hybrid acceptance.** A shelf is only registered when a confirmed swing pivot is surrounded by a configurable time-dwell (bars spent inside its band) AND a volume threshold (cumulative volume inside the band). Both conditions must be met. Single-confirmation noise is filtered out at the source. - **Migration-aware state machine.** Each shelf has a lifecycle: Held → Broken → Reclaimed → Held. Transitions require sustained price behavior (three bars for a break, multiple bars of dwell for a reclaim), preventing oscillation between states on noise. - **Proximity-gated visualization.** Only shelves within a configurable ATR distance from current price are drawn and fed into the ladder state. Distant historical shelves do not clutter the chart or contaminate the panel's metrics. The result is a clean, structural ladder — usually three to five rungs — connected by thin riser lines that visually encode the migration path. --- ## Methodology **Shelf candidate generation.** A swing pivot (high or low) with N bars on each side becomes a candidate shelf anchor. N is user-configurable via Pivot Length. **Hybrid acceptance test.** For each candidate, the script scans the last 80 bars and counts: 1. How many bars closed inside the candidate's acceptance band (ATR × sensitivity multiplier). 2. Cumulative volume of those bars. A shelf is accepted only if both the dwell-bar count meets Min Dwell Bars AND the cumulative volume meets Min Volume Confirmation × (average volume × dwell bars). Candidates failing either test are discarded. **Separation filter.** A newly accepted shelf is rejected if it sits within Min Step Separation (ATR) of an existing active shelf, preventing micro-levels from cluttering the ladder. **Break detection.** A held shelf transitions to Broken when price closes beyond its band by more than Break Distance (ATR) for three consecutive bars. **Reclaim detection.** A broken shelf transitions to Reclaimed when price closes back inside its band for at least Reclaim Dwell Bars. A reclaimed shelf is promoted back to Held after ten additional bars of stability. **Expiry.** Broken shelves older than Broken Expire Bars with no reclaim are purged. **Ladder state.** The chronological sequence of active (held + reclaimed) shelves is evaluated: strictly monotonic rising → Rising; strictly monotonic falling → Falling; otherwise Mixed (with Above/Below context vs. the most recent shelf). Recent break or reclaim events override with Broken or Reclaiming. --- ## Signals & Alerts Four alert conditions are exposed: - **New Ladder Step Formed** — a new accepted-value shelf has been registered. - **Ladder Step Held** — an existing shelf has been re-confirmed by fresh dwell + volume. - **Ladder Step Broken** — a held shelf has been decisively lost. - **Ladder Step Reclaimed** — a previously broken shelf has been reclaimed. All alerts are informational markers of structural change. They do not encode directional trade intent. --- ## Key Inputs **Step Engine** - Step Sensitivity (Tight / Balanced / Wide) — band width around pivot anchors - Pivot Length — bars on each side for swing pivot detection - Min Dwell Bars — time-side of the hybrid acceptance test - Min Volume Confirmation × — volume-side of the hybrid acceptance test - Min Step Separation (ATR) — minimum ATR distance between accepted shelves - Break Distance (ATR) — how far price must close beyond a shelf to flag a break - Reclaim Dwell Bars — bars price must spend back inside the band to reclaim - Broken Expire Bars — age at which unreclaimed broken shelves are purged - Max Visible Distance (ATR) — proximity gate around current price **Ladder Display** - Max Visible Active Steps (3–8) — cap on simultaneously drawn active shelves - Max Visible Broken Steps (0–5) — cap on displayed migration history - Active Ladder Only — minimal mode showing just the dominant shelf - Project Steps Forward — 30-bar forward projection of each shelf - Show Ladder Connectors — thin riser lines between consecutive shelves **Panel & Labels** - Panel / label font size, panel position - Alert master toggle - Full color palette (state-driven, theme-independent) --- ## How to Use - Apply on any timeframe and instrument. Balanced defaults are tuned for 1H–4H crypto; on faster timeframes consider raising Pivot Length, on slower timeframes lower it. - Read the panel's Ladder state first, then the Dominant shelf price. These two values summarize where accepted value currently sits and how it is migrating. - Use the on-chart labels for structural context: Up / Down / Held / Reclaim / Broken describe what each rung is doing. - Integrity shows the percentage of recent shelves still holding. High integrity (green) means the ladder is intact; low integrity (red) means recent migration has broken most anchors. - Treat the output as a structural map, not a signal. Combine with your own directional, volatility, and risk framework. --- ## Limitations & Transparency - All calculations use completed bar data. Shelf registration is delayed by Pivot Length bars (the swing pivot is not confirmed until that many bars have elapsed). - The hybrid acceptance test is lookback-limited to the last 80 bars; very long historical basing periods outside that window are not weighted more heavily than recent ones. - On very low-volatility instruments or during compressed ranges the ATR-scaled thresholds may produce fewer shelves; widening Step Sensitivity is the intended adjustment. - On very high-volatility or thin-volume symbols the volume confirmation may be dominated by outlier bars; raising Min Volume Confirmation × is the intended adjustment. - The script does not repaint confirmed shelves, but state transitions (Held → Broken → Reclaimed) evaluate the last three to five bars, so fresh transitions can flip until those bars close. - Ladder state and Integrity reflect only shelves within the proximity gate. Distant historical shelves exist in memory but are not counted. --- ## Risk Disclosure This script is a structural visualization tool provided for educational and analytical purposes. It is not financial advice, not a trading strategy, and not a signal service. Past market behavior is not indicative of future results. All trading involves risk of loss. Users are responsible for their own decisions and for verifying the tool's behavior on their chosen instruments and timeframes before relying on it.
Penunjuk Pine Script®
oleh AGProLabs
Control Panel: Red Flags (V2) by TBY Savoir quelles actions acheter est important, mais savoir lesquelles éviter est ce qui sauvera votre portefeuille à long terme. Un “Red Flag” est un signal d’alarme qui indique qu’une entreprise cache des faiblesses structurelles derrière des chiffres en apparence flatteurs. La règle du “Safe over Sorry” En Bourse, il vaut mieux rater une opportunité que de subir une perte permanente de capital. Si vous détectez plus de deux Red Flags simultanés, la prudence extrême est de mise. 1. Le Radar des Risques Critiques Nous avons identifié 5 zones de surveillance prioritaires pour tout investisseur souhaitant protéger son capital. lire l'article: casabourse.ma
Penunjuk Pine Script®
oleh tby76
1
SMC Toolkit - CHoCH, BoS, FVG, P/D [AvantCoin]SMC Toolkit - CHoCH, BoS, FVG, P/D A focused market structure indicator covering the four foundational SMC concepts in a single, configurable tool. What it shows CHoCH (Change of Character): marks the first break that reverses the prevailing trend. BoS (Break of Structure): marks continuation breaks in the direction of the current trend. FVG (Fair Value Gaps): highlights 3-candle imbalance zones, with automatic tracking of mitigation, time expiry, and structural invalidation. Premium / Discount: plots the equilibrium of the current swing range, with optional zone shading to identify where price sits relative to the range. **Settings** Independent visibility toggles for CHoCH, BoS, FVG, and Premium/Discount, show only what you need. Swing lookback and break confirmation mode (close or wick) for structure detection. FVG mitigation mode (first touch or full fill), max extension in bars, and option to hide inactive gaps. Fully customizable colors, line styles, and opacity for every element. Built-in alerts for bullish and bearish CHoCH and BoS events. Design principles Every rule the indicator uses is documented in the script header. Pivots do not repaint, swings are consumed once broken, and signals are drawn on the bar of confirmation, what you see live is what you see in backtest. Designed for clarity on any timeframe and any market.
Penunjuk Pine Script®
oleh AvantCoin
Control Panel: Red Flags PRO (V2.3) by TBY🇫🇷 Français : Description de l'Indicateur Titre : Control Panel: Red Flags PRO (V2.3) Cet outil est un tableau de bord d'analyse fondamentale en temps réel conçu pour identifier rapidement la santé financière d'une entreprise directement sur votre graphique. Il calcule un Score Global basé sur des indicateurs clés de performance (KPI). Indicateurs Inclus et Utilité : Score Global : Une note pondérée sur 100 qui synthétise tous les paramètres. Vert pour une solidité exceptionnelle, Rouge pour un risque élevé. Dette Nette / EBITDA : Mesure la capacité de l'entreprise à rembourser sa dette. Un ratio élevé indique un risque de solvabilité. Marge Opérationnelle : Indique l'efficacité et la rentabilité du cœur de métier. Free Cash Flow (FCF) : Vérifie si l'entreprise génère réellement des liquidités après ses dépenses d'investissement. Altman Z-Score : Un modèle prédictif qui évalue la probabilité de faillite à court terme. ROE & ROIC : Mesurent la rentabilité du capital et l'efficacité de l'utilisation de l'argent investi. Croissance des Revenus YoY : Compare le chiffre d'affaires actuel par rapport à l'année précédente. P/B & P/E Ratios : Évaluent si l'action est sous-évaluée ou surévaluée par rapport à ses actifs et ses bénéfices. Momentum (RSI/EMA) : Combine le fondamental avec une analyse technique rapide pour confirmer la tendance. 🇬🇧 English : Indicator Description Title: Control Panel: Red Flags PRO (V2.3) This tool is a real-time fundamental analysis dashboard designed to quickly identify the financial health of a company directly on your chart. It calculates a Global Score based on key performance indicators (KPIs). Included Indicators and Utility: Global Score: A weighted score out of 100 that synthesizes all parameters. Green for exceptional strength, Red for high risk. Net Debt / EBITDA: Measures the company's ability to repay its debt. A high ratio indicates solvency risk. Operating Margin: Indicates the efficiency and profitability of the core business. Free Cash Flow (FCF): Checks if the company is actually generating cash after its capital expenditures. Altman Z-Score: A predictive model that assesses the probability of bankruptcy in the short term. ROE & ROIC: Measure capital profitability and the efficiency of invested money. Revenue Growth YoY: Compares current revenue against the previous year. P/B & P/E Ratios: Evaluate whether the stock is undervalued or overvalued relative to its assets and earnings. Momentum (RSI/EMA): Combines fundamentals with quick technical analysis to confirm the current trend. 🇪🇸 Español : Descripción del Indicador Título: Control Panel: Red Flags PRO (V2.3) Esta herramienta es un panel de control de análisis fundamental en tiempo real, diseñado para identificar rápidamente la salud financiera de una empresa directamente en tu gráfico. Calcula un Score Global basado en indicadores clave de rendimiento (KPIs). Indicadores Incluidos y Utilidad: Score Global: Una calificación ponderada sobre 100 que sintetiza todos los parámetros. Verde para una solidez excepcional, Rojo para riesgo elevado. Deuda Neta / EBITDA: Mide la capacidad de la empresa para pagar su deuda. Un ratio alto indica riesgo de solvencia. Margen Operativo: Indica la eficiencia y rentabilidad del núcleo del negocio. Free Cash Flow (FCF): Verifica si la empresa genera efectivo real tras sus gastos de inversión. Altman Z-Score: Un modelo predictivo que evalúa la probabilidad de quiebra a corto plazo. ROE y ROIC: Miden la rentabilidad del capital y la eficiencia en el uso del dinero invertido. Crecimiento de Ingresos YoY: Compara la facturación actual respecto al año anterior. Ratios P/B y P/E: Evalúan si la acción está infravalorada o sobrevalorada respecto a sus activos y beneficios. Momentum (RSI/EMA): Combina lo fundamental con un análisis técnico rápido para confirmar la tendencia del precio.
Penunjuk Pine Script®
oleh tby76
1
Liquidity Entry Logic Execution Engine Liquidity Entry Logic is a price-action driven trading system built around how markets actually move: liquidity → manipulation → expansion. Instead of relying on traditional lagging indicators, this model focuses on: Liquidity sweeps (stop hunts) Market structure alignment Momentum (displacement) Session-based timing The goal is simple: Enter trades only after the market reveals its true direction. What It’s Made Of This system is built from five core components: 1. Liquidity Engine (Asian Range) Tracks the Asian session high/low Identifies where liquidity (stops) builds overnight These levels become targets for manipulation 2. Liquidity Sweep Detection Detects when price raids Asia highs/lows Filters for strong sweeps (not weak breakouts) Confirms manipulation before entry 3. Structure & Trend Alignment Uses Triple EMA (Fast / Mid / Slow) as structure filters Confirms directional bias: Bullish → price above structure Bearish → price below structure Includes higher timeframe (HTF) confirmation for trend consistency 4. Displacement / Momentum Confirmation Requires a strong impulse candle after the sweep Prevents entering during weak or indecisive moves Ensures the move has real intent behind it 5. Session Timing (New York Focus) Trades are filtered to high-probability sessions Primarily optimized for: New York Open Early NY volatility window How the Strategy Works Trade Flow Model: Asia builds liquidity Price sweeps high or low (stop hunt) Market confirms direction Impulse candle appears Entry triggers with trend alignment Best Timeframes Ideal Setup: HTF Bias: 4H or Daily Setup: 1H Entry: 15m or 5m Why: Higher timeframes define direction Lower timeframes refine entries Best Markets to Trade This system performs best in high-liquidity, high-volatility markets: Recommended: Indices: NAS100 (NQ), S&P 500 (ES) Forex: EURUSD, GBPUSD Gold (XAUUSD) Avoid: Low volatility pairs Illiquid markets Random altcoins (inconsistent behavior) How to Use It Effectively Focus on A+ Setups Only: Clean sweep of Asia high/low Strong impulse after sweep EMA structure aligned HTF bias confirmed Avoid These Mistakes: Entering before sweep happens Trading during sideways/choppy markets Ignoring higher timeframe direction Taking every signal blindly
Strategi Pine Script®
oleh JamesK318
Red Flags PRO (V3) Control Panel by T. Benchekroun Youssef🇬🇧 English: Indicator Description Title: Control Panel: Red Flags PRO (V2.3) This tool is a real-time fundamental analysis dashboard designed to quickly identify the financial health of a company directly on your chart. It calculates a Global Score based on key performance indicators (KPIs). Included Indicators and Utility: Global Score: A weighted score out of 100 that synthesizes all parameters. Green for exceptional strength, Red for high risk. Net Debt / EBITDA: Measures the company's ability to repay its debt. A high ratio indicates solvency risk. Operating Margin: Indicates the efficiency and profitability of the core business. Free Cash Flow (FCF): Checks if the company is actually generating cash after its capital expenditures. Altman Z-Score: A predictive model that assesses the probability of bankruptcy in the short term. ROE & ROIC: Measure capital profitability and the efficiency of invested money. Revenue Growth YoY: Compares current revenue against the previous year. P/B & P/E Ratios: Evaluate whether the stock is undervalued or overvalued relative to its assets and earnings. Momentum (RSI/EMA): Combines fundamentals with quick technical analysis to confirm the current trend. ==================================================================== 🇫🇷 Français : Description de l'Indicateur Titre : Control Panel: Red Flags PRO (V2.3) Cet outil est un tableau de bord d'analyse fondamentale en temps réel conçu pour identifier rapidement la santé financière d'une entreprise directement sur votre graphique. Il calcule un Score Global basé sur des indicateurs clés de performance (KPI). Indicateurs Inclus et Utilité : Score Global : Une note pondérée sur 100 qui synthétise tous les paramètres. Vert pour une solidité exceptionnelle, Rouge pour un risque élevé. Dette Nette / EBITDA : Mesure la capacité de l'entreprise à rembourser sa dette. Un ratio élevé indique un risque de solvabilité. Marge Opérationnelle : Indique l'efficacité et la rentabilité du cœur de métier. Free Cash Flow (FCF) : Vérifie si l'entreprise génère réellement des liquidités après ses dépenses d'investissement. Altman Z-Score : Un modèle prédictif qui évalue la probabilité de faillite à court terme. ROE & ROIC : Mesurent la rentabilité du capital et l'efficacité de l'utilisation de l'argent investi. Croissance des Revenus YoY : Compare le chiffre d'affaires actuel par rapport à l'année précédente. P/B & P/E Ratios : Évaluent si l'action est sous-évaluée ou surévaluée par rapport à ses actifs et ses bénéfices. Momentum (RSI/EMA) : Combine le fondamental avec une analyse technique rapide pour confirmer la tendance. ===================================================================== 🇪🇸 Español: Descripción del Indicador Título: Control Panel: Red Flags PRO (V2.3) Esta herramienta es un panel de control de análisis fundamental en tiempo real, diseñado para identificar rápidamente la salud financiera de una empresa directamente en tu gráfico. Calcula un Score Global basado en indicadores clave de rendimiento (KPIs). Indicadores Incluidos y Utilidad: Score Global: Una calificación ponderada sobre 100 que sintetiza todos los parámetros. Verde para una solidez excepcional, Rojo para riesgo elevado. Deuda Neta / EBITDA: Mide la capacidad de la empresa para pagar su deuda. Un ratio alto indica riesgo de solvencia. Margen Operativo: Indica la eficiencia y rentabilidad del núcleo del negocio. Free Cash Flow (FCF): Verifica si la empresa genera efectivo real tras sus gastos de inversión. Altman Z-Score: Un modelo predictivo que evalúa la probabilidad de quiebra a corto plazo. ROE y ROIC: Miden la rentabilidad del capital y la eficiencia en el uso del dinero invertido. Crecimiento de Ingresos YoY: Compara la facturación actual respecto al año anterior. Ratios P/B y P/E: Evalúan si la acción está infravalorada o sobrevalorada respecto a sus activos y beneficios. Momentum (RSI/EMA): Combina lo fundamental con un análisis técnico rápido para confirmar la tendencia del precio.
Penunjuk Pine Script®
oleh tby76
1
Yield Curve Regime Yield Curve Regime – Pro Edition === WHAT IT DOES === This indicator classifies the U.S. Treasury yield curve into six canonical regimes by comparing the current behavior of a short-maturity yield (default 2Y) and a long-maturity yield (default 10Y) against their values N bars ago. It paints the chart background (or bar color) with the regime color and renders a modular on-chart dashboard showing the active regime, a curve-delta trend arrow, live yield snapshots, a quantitative strength score, multi-horizon confluence, dwell-time, rolling regime frequencies, and a transition log. === WHY IT IS DIFFERENT === Most public yield-curve scripts plot the 10Y-2Y spread or flag a single inversion event. This script decomposes every curve move into the two dimensions that actually matter for fixed-income interpretation: 1) Curve direction : did the spread steepen or flatten? 2) Yield direction : did short and long yields rise or fall? Crossing these dimensions produces six distinct regimes, each with a different macro meaning. A +10 bp move in the 2s10s spread can be a "Bull Steepener" (Fed easing – risk-on friendly) or a "Bear Steepener" (inflation / term-premium driven – risk-off friendly). Flagging only the spread hides that distinction; the six-regime framework exposes it. On top of that six-regime base, this indicator adds four analytical layers that, to the best of our knowledge, are not combined in any existing public yield-curve script: • A Z-score-based Strength score (0–100) that quantifies *how convincing* each regime is instead of treating it as a binary flag. Calibrated so |Z| = 2.0 (the 95 % confidence band) maps to 100. • A Multi-Horizon Confluence score (0/3, 1/3, 2/3, 3/3) computed by running the same regime detection on three independent offsets (fast / mid / slow) and measuring agreement across horizons. • A Dwell-Time counter plus a rolling history of the last N regime transitions, so the viewer can see not just the current regime but its persistence and transition path. • A rolling Regime-Frequency statistic showing what percentage of the last freqLen bars each regime occupied, rendered as an inline bar and a precise percentage in a dedicated dashboard block. These are genuine additions to the calculation – not cosmetics. All of them are visualized in the on-chart dashboard so the reader can consume the extra information at a glance. === THE SIX REGIMES (core logic) === Let curve = longRate - shortRate, compared against its value "offset" bars ago. A regime fires when all three conditions hold simultaneously: Bull Steepener : curve widens, short falls, long falls (short falls faster – classic early easing cycle) Bear Steepener : curve widens, short rises, long rises (long rises faster – inflation / term premium / supply) Steepener Twist : curve widens, short falls, long rises (reflation pivot / policy-vs-inflation divergence) Bull Flattener : curve narrows, short falls, long falls (long falls faster – flight to quality / recession bid) Bear Flattener : curve narrows, short rises, long rises (short rises faster – aggressive Fed tightening) Flattener Twist : curve narrows, short rises, long falls (stagflation signal / tightening into weakness) Exactly one regime fires per bar (the six conditions are mutually exclusive by construction). When none triggers, the background stays clean. === HOW TO READ THE DASHBOARD === • Header row – ticker + timeframe context. • Active row – the regime currently firing, tinted in its own color, with a ▲ / ▼ / ▬ arrow showing the signed change of the curve over the fast offset window. • Strength bar – █-fill from 0 to 100 plus the exact score. • Confluence row – ●●● / ●●○ / ●○○ / ○○○ plus score 0/3 … 3/3. • Dwell row – bars elapsed inside the current regime. • Yields block – live short, long, and curve values. • Legend block – every enabled regime with a colored dot and a live "● aktiv" / "○ ruhend" status. • Frequency block – each regime's share of the last freqLen bars, shown as a 10-step bar plus exact percentage. • Transitions – a log of the most recent regime changes (newest first). • Background/bars – tinted in the active regime's color, optionally dimmed when Strength is low. === HOW TO READ THE ANALYTICAL LAYERS === • Strength bar (█████░░░░░ 65 / 100) – the farther right it fills, the more statistically significant the regime move is relative to its rolling volatility. Calibrated so a Z-aggregate of 2.0 (roughly the 95 % band of a normal distribution) maps to a score of 100. • Confluence (●●○ 2/3) – how many of the three horizons confirm the fast-horizon regime. 3/3 is a strong multi-timeframe signal; 1/3 is fast-only; 0/3 means no active regime on any horizon. • Dwell – bars elapsed inside the current regime. Useful for spotting exhausted vs. freshly-started regimes. • Frequency – every regime's rolling share of the freqLen window, letting you see at a glance which regime has dominated the current macro cycle. • Transitions – a compact log of the most recent regime changes. === SETTINGS (all inputs are grouped and collapsible) === • Symbols & Offset – pick any two yield tickers plus three lookback windows (fast / mid / slow) for confluence. • Detection – rolling window for frequency statistics, maximum stored transitions. • Display – background vs. bar coloring, transparency, optional strength-coupled transparency. • Regime selection– enable/disable any subset of the six regimes. • Color palette – fully user-overridable regime colors. • Dashboard – master toggle, compact mode (active regime only), independent per-section toggles for header, active+strength, confluence, dwell, yields, legend, frequency, and transitions, plus configurable position and text size. === HOW TO USE IT === • As a macro / risk-regime filter on SPX, NDX, DXY, TLT, HYG, BTC, gold or any risk-sensitive instrument: the regime in force often explains why cross-asset correlations are behaving the way they are. • To disambiguate yield-curve headlines: a "curve is steepening" print means something very different if it is a Bull Steepener vs. a Bear Steepener; this indicator answers that question at a glance. • To study historical regime transitions: switch background mode on and scroll back through past cycles to see how regimes clustered around recessions, pivots, and inflation shocks. • The offset inputs let you tune sensitivity: 1 bar for intraday regime nowcasting, 5–20 bars for swing and macro framing. === NOTES & LIMITATIONS === • Defaults to US02Y and US10Y but accepts any two yield symbols – not hard-coded to U.S. Treasuries; works on Bund, Gilt, JGB curves if the data is available on your plan. • Regimes are evaluated on bar-close comparisons and can flip intrabar on lower timeframes; use daily or weekly for stable macro readings. • The Strength score relies on rolling standard deviations over a 50-bar window. On low-liquidity / low-frequency data the σ estimate can be unstable for the first 50 bars after loading. • Multi-Horizon Confluence runs the raw regime detection on mid and slow offsets, so slower horizons can confirm a faster signal even when their Δcurve is small – this is by design, not a bug. • The Steepener Twist and Flattener Twist cases are structurally rarer than the four main regimes and often mark transitions rather than trends – treat them as context, not as standalone signals. • This is an analytical / visual tool, not a buy/sell system. It does not generate entries, exits, or forecasts.
Penunjuk Pine Script®
oleh SmartMoneyHour-GMB-Quant
Round Numbers [LuxAlgo] MES MNQhighlights major, medium, and minor round numbers lets you turn each group on or off lets you change spacing lets you customize color, style, and width works differently for MNQ and MES if you want The clean way is to make: MES: 100, 50, 25 MNQ: 1000, 500, 100 or let you enter your own values manually. What this does Detects MES and MNQ automatically if you enable presets Draws round-number lines above and below current price Lets you customize: spacing colors width line style labels how many levels to show Best default settings For your style, I’d use: MES Major: 100 Medium: 50 Minor: 25 MNQ Major: 1000 Medium: 500 Minor: 100
Penunjuk Pine Script®
oleh battlebo
AI Smart Assistant UI Toolkit [Yosiet] AI Smart Assistant UI Toolkit Most TradingView indicators provide data, but few provide a User Experience . This script is not just a market scanne, it is a fully modular UI Framework designed to help Pine Script developers build interactive, "talking" AI interfaces within their indicators. The AI Smart Assistant Framework moves away from static labels and moves toward dynamic, state-driven communication. Key Framework Features + State-Driven Typewriter Engine: Includes a logic-gate system that detects changes in market conditions and triggers a "typing" animation, making the AI feel responsive and alive. + Dynamic Pulsing System: A custom-built alpha-transparency oscillator that creates a "breathing" effect on the UI based on real-time tick data. + Advanced Theme Engine: Comes pre-loaded with 6 professionally designed color palettes (Nord, Midnight, Cyberpunk, Glassmorphism) that can be swapped with a single line of code. + Actionable Logic Lists: Demonstrates how to turn raw data into structured, easy-to-read "Recommended Action" checklists for the end-user. ++ Stateless Rendering : The UI is decoupled from the logic, allowing you to plug in any data source (MACD, EMA, Liquidity Zones) into the Assistant’s brain. Included UI Themes Nord: A professional, arctic-blue palette for serious analysts. Midnight: High-contrast, deep-space colors for dark mode enthusiasts. Cyberpunk: High-energy neon aesthetics for a modern "HUD" feel. Warzone: Red bloody for a dramatic feel. Minimalist Light: Clean and crisp for those who prefer white backgrounds. How to use this as a Toolkit This script is open-source and intended to be used as a template. To integrate this into your own project: Define your Logic: Replace the RSI checks with your own entry/exit conditions. Set the State: Use the AIState type to trigger the typewriter reset when your conditions are met. Customize the UI: Modify the UITheme type to match your brand colors. Requirements Pine Script Version: v6 Performance: Lightweight. Optimized to render only on the last bar to save GPU resources. Why I built this I believe the future of TradingView scripts isn't just better math, it's better communication. If an user understands the "Why" behind a signal through a clear, beautiful interface, they become better traders. Feel free to use this framework in your own public or private scripts. A credit to the original framework is always appreciated! The data is not static, the UI should not be it
Penunjuk Pine Script®
oleh ViboraTrader
AG Pro Cross-Timeframe Value Overlay [AGPro Series]AG Pro Cross-Timeframe Value Overlay ----- OVERVIEW / WHAT IT DOES ----- AG Pro CVO overlays up to three independent rolling value bands — one per selected higher timeframe — onto a single chart. Each band represents where price has been accepted on that timeframe over a configurable lookback window. The script then detects when those bands agree, overlap, or diverge, and labels the current market structure with one clear state so that cross- timeframe context is readable at a glance. Unlike a bias dashboard or a full volume profile, this tool is deliberately kept compact. It is not meant to replace structural analysis — it is meant to give a trader a fast visual answer to a single question: "Do the timeframes I care about agree on what price is worth right now?" ----- UNIQUE EDGE ----- Most multi-timeframe tools either (a) overlay HTF candles, which add noise and compress price action, or (b) show directional HTF bias with arrows and backgrounds, which tells you where the HTF trend points but nothing about the price zone the HTF considers "fair". AG Pro CVO takes a different angle. It isolates the accepted value zone of each higher timeframe and layers those zones on the chart with a consistent opacity hierarchy — the slowest timeframe drawn lightest so it frames the chart without dominating it. Traders can see in a single glance whether a level is defended by one timeframe, two, or all three at the same price. ----- METHODOLOGY ----- For each enabled timeframe, the script computes a rolling value band: center = rolling VWAP over N HTF-bars (or HLC3 SMA if volume is unreliable) half = ATR over N HTF-bars multiplied by a width factor band = The computation is run inside request.security() on the requested timeframe, so the band reflects that timeframe's own bars — not a reprojection of chart-timeframe data. Lookahead is set to OFF, so the band values on historical bars are the values that were actually available at the time. The state engine then classifies the current relationship between the enabled bands: - ALIGNED — All enabled centers cluster within a user-selectable ATR threshold of their mean. - OVERLAP — At least one pair of bands shares a price region. - CONFLICT — At least one pair of bands is fully disjoint and no alignment condition is met. - NEUTRAL — None of the above applies. ----- SIGNALS & ALERTS ----- Three alerts are provided: 1. Value Overlap Detected — fires when a new pair of timeframe bands begins to overlap on the current bar. 2. Higher-Timeframe Value Lost — fires when price closes outside the dominant (highest enabled) timeframe value band after having been inside it on the previous bar. 3. Cross-Timeframe Conflict Emerged — fires when the state transitions into CONFLICT. These are structural alerts, not entry or exit signals. They are intended to flag meaningful changes in multi-timeframe agreement so the trader can review the chart and make a discretionary decision. ----- KEY INPUTS ----- - TF 1 / TF 2 / TF 3 — each timeframe can be enabled independently. The script never needs all three; two timeframes already produce a valid overlay. - Rolling Window — number of bars (on each timeframe) used for the rolling VWAP and ATR. Higher values produce wider, slower bands. - Band Width (ATR multiplier) — controls how wide each value band is around its center. 1.0 ATR approximates a one-sigma accepted zone on most markets. - Anchor Method — VWAP + ATR for markets with reliable volume; HLC3 MA + ATR for markets without. - Alignment Strictness — Loose / Standard / Strict thresholds for the ALIGNED state. - Show Only Overlapping Bands — hides timeframe bands that are currently isolated, so only confluence zones remain visible. - Box Opacity, Band Colors, Label Size, Panel Position, Panel Font Size — standard AGPro visual controls. ----- HOW TO USE ----- 1. Choose the three timeframes that matter for your trading horizon. A common setup for intraday crypto is 1H / 4H / 1D. 2. Watch for confluence: when price reacts from a region where two or three bands overlap, that region is being defended by multiple timeframes at once. 3. Watch for the ALIGNED state: when all enabled centers cluster tightly, cross-timeframe agreement on "fair value" is high and directional moves usually require a catalyst. 4. Watch for CONFLICT: when bands have fully separated, timeframes are pricing very different things and breakouts between the bands tend to be more directional. 5. Use the alerts as notification triggers, not as entries. ----- LIMITATIONS & TRANSPARENCY ----- - The value bands are rolling — they update as new HTF bars close. On very recent bars the higher-timeframe band can still be forming. - request.security() is called with lookahead = OFF. Historical values reflect only data that was available at the time. - The script does not predict direction. A band is a descriptive zone, not a forecast. - Results depend on the user's choice of timeframes and lookback. Shorter lookbacks react faster but are noisier; longer lookbacks are smoother but slower to adapt. - Volume-based VWAP is only as good as the exchange's reported volume. On markets where volume is unreliable, use the HLC3 MA + ATR mode. - This is an indicator, not a strategy. It produces no entries, no exits, no position sizing, and no backtest. ----- RISK DISCLOSURE ----- This script is provided for educational and research purposes only. It is not financial advice, not a recommendation, and not a strategy. Trading involves substantial risk and you can lose more than you invest. Past behavior of price within any value band does not guarantee future behavior. Always do your own analysis and manage risk appropriately.
Penunjuk Pine Script®
oleh AGProLabs
TORINVEST - Macro Technical ⚙️ COMMENT UTILISER TON INDICATEUR 🧭 1. LIRE LE RÉGIME (BASE) ➡️ Regime score +0.25 → 🟢 RISK ON < -0.25 → 🔴 RISK OFF entre → 🟠 NEUTRE 👉 C’est ton point de départ, pas ton signal ⚖️ 2. IDENTIFIER QUI DOMINE 🟢 Risk On Actions / BTC / Cuivre / Crédit ➡️ Appétit pour le risque 🔴 Risk Off Dollar / Or / CHF / JPY ➡️ Peur / refuge 👉 Lecture clé : Risk On > Risk Off → marché offensif Risk Off > Risk On → marché défensif Les deux forts → marché instable / piège 🧠 3. VALIDER LE CONTEXTE 🇺🇸 Macro US Housing + Salaires ➡️ Santé économique US 📉 Rates Taux + spreads + courbe ➡️ Pression monétaire globale 📊 Technique RSI + CVD + MA ➡️ Timing réel de l’actif 🔍 4. LECTURE INTELLIGENTE CAS 1 — ALIGNEMENT Risk On ↑ Macro US ↑ Technique ↑ 👉 ✅ Marché propre → opportunités fiables CAS 2 — CONTRADICTION Risk On ↑ Risk Off ↑ 👉 ⚠️ Marché instable → pièges / fake moves CAS 3 — FAIBLE STRUCTURE Regime neutre Scores proches de 0 👉 ❌ Pas d’avantage → attendre 🧨 5. ERREURS À ÉVITER ❌ Lire un seul indicateur ❌ Trader juste parce que “c’est vert” ❌ Ignorer les contradictions ❌ Ne pas adapter selon l’actif 🧠 6. UTILISATION PRO 👉 Ton indicateur sert à : filtrer tes trades comprendre le contexte éviter les mauvais environnements 👉 Il ne sert PAS à : donner un signal direct remplacer ton Price Action ⚔️ 7. RÈGLE TORINVEST 👉 Le marché ne récompense pas les opinions, il récompense l’alignement.
Penunjuk Pine Script®
oleh Onzer94
RHODL Z-Score [TheSnake3Run]The original RHODL Ratio, created by Philip Swift, is an on-chain metric that compares the cost basis of coins last moved in the past week against the cost basis of coins last moved 1–2 years ago, weighted by total market age. It identifies macro cycle tops and bottoms in Bitcoin. The true metric requires UTXO-level realized-cap data not available inside Pine Script, so this indicator approximates the dynamic using price alone and standardises the output as a z-score. How the calculation works 1. Short cohort — 7-bar SMA of price (≈ 1 week on daily). Proxy for recently-transacted cost basis. 2. Long cohort — SMA of price from 365 to 730 bars ago (≈ 1–2 years back). Proxy for long-term holder cost basis. 3. Ratio — short ÷ long. Above 1 means recent price is elevated versus long-term basis. 4. Age weighting — ratio × bar index, mirroring RHODL's market-age adjustment, then log-transformed. 5. Z-score — the log value is normalised against its own 365-bar rolling mean and standard deviation. The plot shows how many standard deviations the current reading sits from its one-year average. How to read it Above +2 — stretched high; overheated. Shaded red. −1 to +1 — normal range. Below −2 — stretched low; accumulation. Shaded green.
Penunjuk Pine Script®
oleh TheSnake3Run
HexatapHexatap — 6-Point Reversal Pattern Detector Hexatap automatically detects a specific 6-point price structure that forms during strong trending moves, identifying high-probability reversal entry zones where price is likely to retrace before continuing in the dominant direction. How it works The indicator scans for a sequence of swing points that confirm trending market structure — three ascending highs in a bullish market or three descending lows in a bearish market. Between these structural points, it identifies key intermediary extremes and validates whether a liquidity sweep has occurred into a critical supply/demand zone. When the full 6-point structure completes, the indicator draws the zone and highlights the golden ratio entry area where price is statistically likely to reverse and continue the trend. The 6-point structure Point 1–2 form the initial range and define the supply/demand zone. Point 3 confirms the trend direction by breaking structure. Point 4 sweeps back into the zone, tapping liquidity. Point 5 breaks structure again, confirming momentum. Point 6 is the entry signal — price retraces into the zone one final time, reaching the 0.382–0.618 fibonacci sweet spot before reversing. Features Auto-detection of bullish and bearish 6-point reversal structures Manual directional bias selector (Bullish / Bearish / Both) Configurable swing detection with ATR-based noise filtering Supply/demand zone drawing with adjustable extension Golden ratio levels (0.382, 0.500, 0.618, 0.786) — each individually toggleable with custom colors, styles, and line widths Golden pocket fill (0.618–0.786) with adjustable color A+ / A- setup quality grading based on zone sweep depth Smart entry detection using wick penetration into the fibonacci sweet spot Four configurable alerts: structure complete, price approaching zone, entry signal, and low quality sweep warning Recommended timeframes Works on any timeframe. Lower swing lookback values (2–3) work well for lower timeframes. Higher values (4–6) suit higher timeframes. The ATR filter helps eliminate noise without missing valid patterns. How to use Set your directional bias based on your higher timeframe analysis Wait for the indicator to detect a valid 6-point structure (TAP 1–5) Watch for price to retrace back to the zone after the structure completes The A+ entry signal fires when price reaches the 0.382–0.618 area — your entry zone Place your stop below the zone (bullish) or above the zone (bearish) Target the previous structure high/low for a minimum 1:1 risk-reward Settings guide Swing Lookback: Controls how many bars are needed to confirm a swing point. Lower = more sensitive, higher = fewer but stronger swings Min Swing Size (ATR): Filters out insignificant swings. Set to 0 to disable Zone Sweep Threshold: How deep the sweep into the zone can be before the setup is downgraded from A+ to A- Zone Extend: How many bars the zone box extends to the right after detection
Penunjuk Pine Script®
oleh FreddyTheFresh
Financial fundamentalsThis indicator helps you understand the basic financial fundamentals of the company. It displays price to earning ratio, price to book ratio, market capitalisation, net income, revenue, net income and EPS growth, year on year and then quarter on quarter, followed by three years CAGR, growth of revenue, net income and debt. And if you think that these numbers can be manipulated, then it also shows free cash flow to net income ratio. So basically, it covers everything financiallythat is needed for you to see for a long-term investment.
Penunjuk Pine Script®
oleh Abhyuday01