Quantura — Indicatori e strategie

Quantura - Supply & Demand Zone Detection Introduction “Quantura – Supply & Demand Zone Detection” is an advanced indicator designed to automatically detect and visualize institutional supply and demand zones, as well as breaker blocks, directly on the chart. The tool helps traders identify key areas of market imbalance and potential reversal or continuation zones, based on price structure, volume, and ATR dynamics. Originality & Value This indicator provides a unique and adaptive method of zone detection that goes beyond simple pivot or candle-based logic. It merges multiple layers of confirmation—volume sensitivity, ATR filters, and swing structure—while dynamically tracking how zones evolve as the market progresses. Unlike traditional supply and demand indicators, this script also detects and plots Breaker Zones when previous imbalances are violated, giving traders an extra layer of market context. The key values of this tool include: Automated detection of high-probability supply and demand zones. Integration of both volume and ATR filters for precision and adaptability. Dynamic zone merging and updating based on price evolution. Identification of breaker blocks (invalidated zones) to visualize market structure shifts. Optional bullish and bearish trade signals when zones are retested. Clear, visually optimized plotting for efficient chart interpretation. Functionality & Core Logic The indicator continuously scans recent price data for swing highs/lows and combines them with optional volume and ATR conditions to validate potential zones. Demand Zones are formed when price action indicates accumulation or a strong bullish rejection from a low area. Supply Zones are created when distribution or strong bearish rejection occurs near local highs. Breaker Blocks appear when existing zones are invalidated by price, helping traders visualize potential market structure shifts. Bullish and bearish signals appear when price re-enters an active zone or breaks through a breaker block. Parameters & Customization Demand Zones / Supply Zones: Enable or disable each individually. Breaker Zones: Activate breaker block detection for invalidated zones. Volume Filter: Optional filter to only confirm zones when volume exceeds its long-term average by a user-defined multiplier. ATR Filter: Optional filter for volatility confirmation, ensuring zones form under strong momentum conditions. Swing Length: Controls the number of bars used to detect structural pivots. Sensitivity Controls: Adjustable ATR and volume multipliers to fine-tune detection responsiveness. Signals: Toggle for on-chart bullish (▲) and bearish (▼) signal plotting when price interacts with zones. Color Customization: User-defined bullish and bearish colors for both standard and breaker zones. Core Calculations Zones are detected using pivot highs and lows with a defined lookback and lookahead period. Additional filters apply if ATR and volume are enabled, requiring conditions like “ATR > average * multiplier” and “Volume > average * multiplier.” Detected zones are merged if overlapping, keeping the chart clean and logical. When price breaks through a zone, the original box is closed, and a new breaker zone is plotted automatically. Bullish and bearish markers appear when zones are retested from the opposite side. Visualization & Display Demand zones are shaded in semi-transparent bullish color (default: blue). Supply zones are shaded in semi-transparent bearish color (default: red). Breaker zones appear when previous imbalances are broken, helping to spot structural shifts. Optional arrows (▲ / ▼) indicate potential buy or sell reactions on zone interaction. Use Cases Identify institutional areas of accumulation (demand) or distribution (supply). Detect potential breakout traps and market structure shifts using breaker zones. Combine with other tools such as volume profile, EMA, or liquidity indicators for deeper confirmation. Observe retests and reactions of zones to anticipate possible reversals or continuations. Apply multi-timeframe analysis to align higher timeframe zones with lower timeframe entries. Limitations & Recommendations The indicator does not predict future price movement; it highlights structural imbalances only. Performance depends on chosen swing length and sensitivity—users should optimize parameters for each market. Works best in volatile markets where supply and demand imbalances are clearly expressed. Should be used as part of a broader trading framework, not as a standalone signal generator. Markets & Timeframes The “Quantura – Supply & Demand Zone Detection” indicator is suitable for all asset classes including cryptocurrencies, Forex, indices, commodities, and equities. It performs reliably across multiple timeframes, from intraday scalping to higher timeframe swing analysis. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Important This description complies with TradingView’s Script Publishing and House Rules. It clearly explains the indicator’s originality, underlying logic, functionality, and intended use without unrealistic claims or performance guarantees.

Quantura - Session High/Low Introduction “Quantura – Session High/Low” is a professional-grade session mapping indicator that automatically identifies and visualizes the highs, lows, and ranges of key global trading sessions — London, New York, and Asia. It helps traders understand when and where liquidity tends to accumulate, allowing for better market structure analysis and session-based strategy alignment. Originality & Value This indicator unifies the three most influential global sessions into a single, adaptive visualization tool. Unlike typical session indicators, it dynamically updates live session highs and lows in real time while marking session boundaries and transitions. Its multi-session management system allows for immediate recognition of overlapping liquidity zones — a crucial feature for institutional and intraday traders. The value and originality come from: Real-time tracking of session highs, lows, and developing ranges. Simultaneous visualization of multiple global sessions. Optional vertical range lines for clearer visual segmentation. Customizable session times, colors, and time zone offset for global accuracy. Automatically extending and updating lines as each session progresses. Functionality & Core Logic Detects the start and end of each trading session (London, New York, Asia) using built-in time logic and user-defined UTC offsets. Initializes session-specific high and low variables at the start of each new session. Continuously updates session high/low levels as new candles form. Draws color-coded horizontal lines for each session’s high and low. Optionally adds vertical dotted lines to visually connect session range extremes. Locks each session’s range once it ends, preserving historical structure for review. Parameters & Customization New York Session: Enable/disable, customize time (default 15:30–21:30), and set color. London Session: Enable/disable, customize time (default 09:00–16:30), and set color. Asia Session: Enable/disable, customize time (default 02:30–08:00), and set color. Vertical Line: Toggle dotted vertical lines connecting session high and low levels. UTC Offset: Adjust session timing to align with your chart’s local time zone. Visualization & Display Each session is color-coded for quick identification (default: blue for London, red for New York, green for Asia). Horizontal lines track evolving session highs and lows in real time. Once a session closes, the lines remain fixed to mark historical range boundaries. Vertical dotted lines (optional) visually connect the session’s high and low for clarity. Supports full overlay display without interfering with other technical indicators. Use Cases Identify liquidity zones and range extremes formed during active trading sessions. Observe session overlaps (London–New York) to anticipate volatility spikes. Combine with volume or market structure tools for session-based confluence. Track how price interacts with prior session highs/lows to detect potential reversals. Analyze session-specific performance patterns for algorithmic or discretionary systems. Limitations & Recommendations The indicator is designed for intraday analysis and may not provide meaningful output on daily or higher timeframes. Adjust session times and UTC offset based on your broker’s or exchange’s timezone. Does not provide trading signals — it visualizes session structure only. Combine with liquidity and volatility indicators for full contextual understanding. Markets & Timeframes Compatible with all asset classes — including crypto, forex, indices, and commodities — and optimized for intraday timeframes (1m–4h). Particularly useful for traders analyzing session overlaps and volatility transitions. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description fully complies with TradingView’s Script Publishing Rules and House Rules . It provides a detailed explanation of functionality, parameters, and realistic use cases without making any performance or predictive claims.

Quantura - Liquidity Sweep & Run Levels Introduction “Quantura – Liquidity Sweep & Run Levels” is a structural price-action indicator designed to automatically detect swing-based liquidity zones and visualize potential sweep and run events. It helps traders identify areas where liquidity has likely been taken (sweep) or released (run), improving precision in market structure analysis and timing of entries or exits. Originality & Value This tool translates institutional liquidity concepts into an automated visual framework. Instead of simply marking highs and lows, it dynamically monitors swing points, tracks their breaches, and identifies subsequent reactions. The indicator is built to highlight the liquidity dynamics that often precede reversals or continuations. Its originality lies in: Automatic identification and tracking of swing highs and lows. Real-time detection of broken levels and liquidity sweeps. Distinction between “Run” and “Sweep” modes for different market behaviors. Persistent historical visualization of liquidity levels using clean line structures. Configurable signal markers for bullish and bearish sweep confirmations. Functionality & Core Logic Detects swing highs and lows using a user-defined Swing Length parameter. Stores and updates all swing levels dynamically with arrays for efficient memory handling. Draws horizontal lines from each detected swing point to visualize potential liquidity zones. Monitors when price breaks a swing level and marks that event as “broken.” Generates signals when the market either sweeps above/below or runs away from those levels, depending on the chosen mode. Provides optional visual signal markers (“▲” for bullish sweeps, “▼” for bearish sweeps). Parameters & Customization Mode: Choose between “Sweep” (detects liquidity grabs) or “Run” (detects breakout continuations). Swing Length: Sets the sensitivity for detecting swing highs/lows. A higher value focuses on larger structures, while smaller values detect micro liquidity points. Bullish Color / Bearish Color: Customize color themes for sweep/run lines and signal markers. Signals: Enables or disables visual up/down markers for confirmed events. Visualization & Display Horizontal lines represent potential liquidity levels (unbroken swing highs/lows). Once broken, lines automatically stop extending, marking the moment liquidity is taken. Depending on the selected mode: “Sweep” mode identifies false breaks or stop-hunt behavior. “Run” mode highlights breakouts that continue the trend. Colored arrows indicate the direction and type of liquidity reaction. Clean, non-intrusive visualization suitable for overlaying on price charts. Use Cases Detect liquidity sweeps before major reversals. Identify breakout continuations after liquidity runs. Combine with Supply/Demand or FVG indicators for multi-layered confirmation. Validate liquidity bias in algorithmic or discretionary strategies. Analyze market manipulation patterns and institutional stop-hunting behavior. Limitations & Recommendations This indicator identifies structural behavior but does not guarantee trade direction or profitability. Works best on liquid markets with clear swing structures (e.g., crypto, forex, indices). Signal interpretation should be combined with confluence tools such as volume, order flow, or structure-based filters. Excessively small swing settings may cause over-signaling in volatile markets. Markets & Timeframes Optimized for all major asset classes — including crypto, Forex, indices, and equities — and for intraday to higher-timeframe structural analysis (5-minute up to daily charts). Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description fully complies with TradingView’s Script Publishing Rules and House Rules . It avoids performance claims, provides transparency on methodology, and clearly describes indicator behavior and limitations.

Quantura - Fair Value Gap Introduction “Quantura – Fair Value Gap” is a precision-engineered institutional concept indicator designed to automatically identify, visualize, and manage Fair Value Gaps (FVGs) across any market or timeframe. It enables traders to observe price inefficiencies, potential liquidity voids, and retracement areas that often act as magnets for price rebalancing. Originality & Value Unlike many public FVG scripts that only highlight candle gaps, this indicator integrates dynamic filters and adaptive logic to determine the strength and reliability of each gap. It merges overlapping zones intelligently and optionally extends valid imbalances forward for ongoing reference. Its value lies in: Dynamic statistical filtering based on gap standard deviation. Optional volume confirmation for high-confidence FVGs. Automatic merging of overlapping or adjacent gaps for clean visualization. Support for both bullish and bearish imbalances. Signal alerts when gaps are filled or rebalanced by price. Functionality & Core Logic Detects Fair Value Gaps by comparing candle-to-candle price displacement. Applies a Gap Filter (standard deviation-based) to qualify valid gaps. Optionally validates gaps formed under significant volume conditions. Draws color-coded boxes to mark bullish (discount) and bearish (premium) inefficiencies. Monitors each FVG until price fills the gap, at which point the box is visually closed. Provides optional signal markers (“▲” or “▼”) when rebalancing occurs. Parameters & Customization Gap Filter: Sets the minimum statistical deviation required for a valid FVG. Higher values detect fewer, stronger gaps. Volume Filter: Toggles additional validation using relative volume strength. Volume Sensitivity: Adjusts how much above-average volume must be present to confirm a gap. Bullish/Bearish Colors: Customize color schemes for imbalance zones. Extend Gaps: Optionally extend open gaps forward for better confluence tracking. Signals: Enables or disables gap-fill signal markers. Visualization & Display Bullish FVGs: Appear in blue-tinted boxes, indicating potential demand-side inefficiencies. Bearish FVGs: Appear in red-tinted boxes, representing potential supply-side inefficiencies. Overlapping zones are merged automatically to maintain clarity. Filled gaps remain visible for historical context, allowing for post-event analysis. Optional signal arrows display when price returns to rebalance an FVG. Use Cases Identify institutional inefficiencies and liquidity voids. Detect premium and discount levels in trending markets. Combine with market structure or order block indicators for confluence. Track when price rebalances inefficiencies to refine entry/exit points. Build FVG-based algorithmic strategies that rely on structural imbalance resolution. Limitations & Recommendations The indicator detects structural imbalances but does not predict future direction or guarantee profitability. Volume filters may behave differently across brokers due to data-source differences. Use alongside structure or liquidity tools for enhanced decision-making. Extreme volatility or illiquid assets may generate temporary invalid gaps. Markets & Timeframes Compatible with all markets (crypto, forex, equities, indices, futures) and all timeframes. Recommended for multi-timeframe confluence analysis — e.g., detecting higher-timeframe FVGs and refining lower-timeframe entries. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description adheres fully to TradingView’s House Rules and Script Publishing Requirements . It provides a detailed explanation of originality, core logic, limitations, and appropriate use — with no unrealistic or misleading performance claims.

Quantura - Average Intraday Candle Volume Introduction “Quantura – Average Intraday Candle Volume” is a quantitative visualization tool that calculates and displays the average traded volume for each intraday time position based on a user-defined historical lookback period. It allows traders to analyze recurring intraday volume patterns, identify high-activity sessions, and detect liquidity shifts throughout the trading day. Originality & Value This indicator goes beyond standard volume averages by normalizing and aligning volume data according to the time of day. Instead of simply smoothing recent bars, it builds an intraday volume profile based on historical daily averages, enabling users to understand when during the day volume typically peaks or drops. Its originality and usefulness come from: Converting standard volume data into time-aligned intraday averages. Visualization of historical intraday liquidity behavior, not just total daily volume. Dynamic scaling using normalization and transparency to emphasize active and quiet periods. Optional day-separator lines for precise intraday structure recognition. Gradient-based coloring for better visual interpretation of volume intensity. Functionality & Core Logic The indicator divides each day into discrete intraday time positions (based on chart timeframe). For each position, it stores and updates historical volume values across the selected number of days. It calculates an average volume per time position by aggregating all stored values and dividing them by the number of valid days. The result is plotted as a continuous histogram showing typical intraday volume distribution. The bar colors and transparency dynamically reflect the relative intensity of volume at each point in the day. Parameters & Customization Number of Days for Averaging: Defines how many past days are included in the volume average calculation (default: 365). UTC Offset: Allows synchronization of intraday cycles with local or exchange time zones. Base Color: Sets the main color for plotted volume columns. Color Mode: Choose between “Gradient” (transparency dynamically adjusts by intensity) or “Normal” (fixed opacity). Day Line: Toggles dashed vertical lines marking the start of each trading day. Visualization & Display Volume is plotted as a series of histogram bars, each representing the average volume for a specific intraday time position. A gradient color mode enhances readability by fading lower-intensity areas and highlighting high-volume regions. Optional day-separator lines visually segment historical sessions for easy reference. Works seamlessly across all chart timeframes that divide the 24-hour day into regular bar intervals. Use Cases Identify when trading activity typically peaks (e.g., session opens, news windows, or overlapping markets). Compare current intraday volume to historical averages for early anomaly detection. Enhance algorithmic or discretionary strategies that depend on volume-timing alignment. Combine with volatility or price structure indicators to confirm market activity zones. Evaluate session consistency across different time zones using the UTC offset parameter. Limitations & Recommendations The indicator requires intraday data (below 1D resolution) to function properly. Volume behavior may vary across brokers and assets; adjust averaging period accordingly. Does not predict price movement — it provides volume-based context for analysis. Works best when combined with structure or momentum-based indicators. Markets & Timeframes Compatible with all intraday markets — including crypto, Forex, equities, and futures — and all intraday timeframes (from 1 minute to 4 hours). It is particularly valuable for analyzing assets with continuous 24-hour trading activity. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Important This description complies with TradingView’s Script Publishing and House Rules. It provides a clear explanation of the indicator’s originality, logic, and purpose, without any unrealistic performance or predictive claims.