Trader Otto - Smart Order Blocks & Delta Flow [SMC]This indicator brings a professional approach to Smart Money Concepts (SMC) by combining classic **Order Block** identification with **Volume Delta** and **Volatility Filtering**.
Standard Order Block indicators often clutter the chart with weak zones. This script solves that by applying a rigorous "Quality Control" engine to every potential block.
### 🧠 Key Concepts
**1. Volume Delta Analysis (Δ)**
Inside every Order Block, the script calculates the internal buying/selling pressure.
* **The Problem:** A candle might look bullish, but have weak internal buying volume.
* **The Solution:** This tool displays the **Delta %** (Δ) directly on the block. A high positive Delta confirms strong institutional interest.
**2. Exhaustion Filter (ATR Logic)**
Not all big candles are Order Blocks; some are just exhaustion moves.
* The script uses an Average True Range (ATR) multiplier to detect statistically abnormal moves.
* If a candle is too large (likely a climax move), it is **rejected** as an Order Block, preventing false traps.
**3. Mitigation & Cleanup**
The system automatically manages the chart workspace:
* Blocks are extended into the future until they are mitigated (broken).
* Once price closes beyond the block, it is automatically removed to keep the chart clean.
### ⚙️ Settings
* **Pivot Period:** Defines the structural significance of the swing points.
* **Exhaustion Filter:** Users can adjust the ATR multiplier to filter out news spikes or climatic candles.
* **Volume Filter:** Ensures only blocks with above-average volume are plotted.
* **Visuals:** Customize colors and toggle the Delta information text.
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*Disclaimer: This tool assists in market structure analysis but does not guarantee future price movements.*
Pivot points and levels
Current Day Range DeltaDisplays the current trading day’s high, low, and range delta, with optional labels and intraday level tracking for futures and ETFs.
Weekly Levels: High/Low/Mid/POCThis is a simple indicator that plots each week (up to 4 weeks) with the high,low, mid point and a customizable POC. Weeks can be toggled on and off and it has a developing level for the current week.
I find these levels valuable in day trading and thought automating them would be ideal.
PAE - Price Action Essential**PAE - Price Action Essential** indicator.
This system is engineered to provide high-fidelity market structure readings, blending moving average harmony with algorithmic volume analysis at critical turning points.
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## 1. Indicator Philosophy
**PAE** operates under the **"Signal over Noise"** principle. Its goal is to declutter the chart of visual distractions, highlighting only the areas where true confluence exists between price action and institutional effort (volume).
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## 2. Moving Average Dynamics & Action Zone
The system utilizes a hierarchy of four moving averages to segment market flow:
### A. The Action Zone (Short-Term)
This is generated via a dynamic shading between the **Fast MA (9)** and the **Base MA (20)**.
* **Configuration:** Allows the user to select the calculation type (EMA, SMA, WMA, HMA) for both averages simultaneously.
* **Fast MA Colors:**
* `#a5d6a7` (Soft Green) during ascending values.
* `#faa1a4` (Soft Red) during descending values.
* **Purpose:** The shaded area acts as a "value band." Pullbacks into this zone during defined trends often offer the highest probability entry opportunities.
### B. Structural MAs (Mid & Long-Term)
These averages are fixed to **SMA** type to maintain stability in trend analysis:
* **Medium SMA (40):** Uses vibrant colors (**#3179f5** Blue / **#ffee58** Yellow) to clearly mark the primary direction of the current swing.
* **Slow SMA (200):** Uses pastel tones (**#90bff9** / **#fff9c4**) and a dotted style to define the long-term institutional bias.
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## 3. Pivot Analysis with Smart Volume
**PAE** identifies fractals (Highs and Lows) and automatically classifies them based on their **Relative Volume** compared to the previous 20 candles.
### Visual Classification by Color
To ensure rapid interpretation, labels are set to **Tiny** size, with color serving as the primary data indicator:
| Pivot Type | Color | Volume Condition | Interpretation |
| --- | --- | --- | --- |
| **Strength (MAX)** | `#ff001e` (Bright Red) | `> 160%` of Avg | High-conviction resistance. |
| **Strength (MIN)** | `#0fa600` (Bright Green) | `> 160%` of Avg | High-conviction support. |
| **Base (MAX)** | `#f1adad` (Soft Rose) | Between `30%` - `160%` | Standard market structure. |
| **Base (MIN)** | `#bee7c0` (Soft Mint) | Between `30%` - `160%` | Standard market structure. |
| **Noise** | `#ffffff` (White 67% Transp.) | `< 30%` of Avg | Weak pivots or lack of interest. |
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## 4. Contextual Information (Tooltips)
Every Pivot label is interactive. By hovering the cursor over the triangles, the trader obtains precise data:
* **Price:** Indicates the exact **Closing** value of the candle that triggered the pivot (MAX or Min).
* **Vol:** Displays the exact percentage of relative volume. For example, a value of **200%** confirms that the candle had double the average volume, validating the strength of that support or resistance level.
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## 5. Recommended Configuration Parameters
* **Left/Right Bars (3):** The ideal balance between early detection and swing confirmation.
* **Strength Factor (1.60):** Filters for movements backed by professional intent.
* **Noise Factor (0.30):** Identifies exhaustion or lack of participation.
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### Operational Summary
The **PAE** helps traders stop guessing. If the price reaches the **Action Zone** (shading) and coincides with a **Strength Pivot** (bright color), the probability of a reaction in favor of the trend is significantly high. It is a precision tool designed for traders seeking absolute clarity in their decision-making process.
VL8R FVGThis script identifies all FVGs and if filled will not be extended to the right. Remember, FVGs on higher time frames represent institutional entries, always seek additional confluence before taking a trade.
Malama's Institutional Liquidity & Price Action Concepts [ILPAC]Malama's Institutional Liquidity & Price Action Concepts is a comprehensive trading suite that unifies the three pillars of institutional analysis: Market Structure (Context), Liquidity (Targets), and Momentum (Triggers).
Justification for this Combination (The Mashup): Many traders clutter their screens with separate indicators for BOS/CHoCH, Liquidity Runs, and RSI divergences. This fragmentation makes it difficult to see the full narrative. ILPAC solves this by fusing these concepts into a single logic engine. By combining structure with liquidity heatmaps, the script allows you to see where price is going (Liquidity) and when the trend has shifted (Structure) without conflicting visual noise.
Optimizations & Fixes in This Version:
Unified Garbage Collection: Previous iterations of complex scripts often suffer from memory leaks. This version runs a global cleanup function every bar to manage lines and labels, ensuring smooth performance even on lower timeframes.
State-Machine BOS Logic: The Break of Structure (BOS) logic has been upgraded to a state machine. It tracks "Active Pivot Levels" and only fires a signal when a level is physically broken by a close, preventing repainting or flickering signals during live candles.
Physical Liquidity Sweeps: The Liquidity Heatmap now calculates the physical height of the zone in ticks. A zone is only considered "Swept" (mitigated) if price penetrates the interior of the box, not just touches the edge.
Deduplicated Psychological Levels: The logic for round numbers (Psychological Levels) now scans existing drawings to prevent stacking duplicate lines on top of each other when price consolidates around a key level.
Concepts & Underlying Calculations:
Market Structure: Identifies Swing Highs and Lows using a customizable lookback. A "Change of Character" (CHoCH) is flagged when the trend state flips from Bullish to Bearish (or vice versa), while a "Break of Structure" (BOS) indicates trend continuation.
Liquidity Heatmap: Automatically identifies unmitigated swing points where stop-losses are likely clustered. These are drawn as dynamic boxes that extend until price sweeps them.
FOMO Bubbles: A proprietary momentum filter that combines RSI extremes (Overbought/Oversold) with Volume Spikes (Volume > 2x Average). These bubbles highlight moments of retail panic or euphoria, often marking local tops or bottoms.
Auto-Trendlines: Connects the most recent non-breached pivots to project dynamic support and resistance channels.
How to Use:
Identify the Trend: Look for the Market Structure labels (HH, LL) and the colored structure lines (Green for Bullish, Red for Bearish).
Find the Target: Look for the Gold (High) or Blue (Low) Liquidity Zones. Price often gravitates toward these areas to clear liquidity before reversing.
Spot the Trigger: Use the FOMO Bubbles or Trendline Breakouts as your entry confirmation once price reaches a liquidity zone.
Disclaimer: This indicator is for educational analysis only. Past performance does not guarantee future results.
Malama's Market Structure: Malama's Market Structure is a comprehensive price action utility that unifies four essential institutional trading concepts—Supply/Demand, Liquidity, Trendlines, and Key Levels—into a single, optimized toolkit.
Justification for this Combination (The Mashup): Institutional analysis requires monitoring multiple layers of market structure simultaneously. Using separate indicators for S/D zones, liquidity pools, and daily levels creates chart clutter and conflicting visual signals. This script solves this by integrating these components into a single Zone Management Engine. This engine ensures that when a zone is broken, it is automatically invalidated or marked as a "Retest" candidate, creating a cleaner, actionable chart without manual drawing tools.
What Has Been Fixed in This Version:
Zero-Division Protection: Added safety checks in the Liquidity module avg_ph != 0 to prevent runtime crashes on assets with zero values.
Explicit Zone Typing: The code now strictly differentiates between "Standard Supply" and "Liquidity Supply" to apply correct breakout logic (Close > Top vs Close < Bottom).
Smart Garbage Collection: Implemented a FIFO (First-In, First-Out) memory management system that prioritizes deleting inactive/broken zones before active ones, ensuring critical levels remain on the chart longer without hitting TradingView drawing limits.
Optimized Key Levels: Switched from creating new line objects every bar (which causes memory leaks) to updating a single var line object using line.set_xy.
Underlying Calculations & Logic:
Pivot Analysis (The Foundation): The script identifies structural Swing Highs and Lows using a customizable lookback.
Liquidity Logic: It compares adjacent Pivot Highs. If they are within a strict threshold (0.15%), they are flagged as "Equal Highs (EQH)"—a magnet for price.
Zone Management: An internal array tracks every zone. If price closes beyond a zone, the script detects the "Break" event and visually fades the zone to gray. If price touches a valid zone without breaking, the label updates to "Retest."
How to Use:
Entries: Look for price to reject from active Red (Supply) or Blue (Demand) zones.
Targets: Target the Gray "Liquidity" zones (EQH/EQL), as price often gravitates toward these to clear stops.
Confluence: Use the intersection of Auto-Trendlines and Key Levels as high-probability reversal areas.
Disclaimer: This tool is for educational analysis only. Trading involves significant risk.
Ingin Menjadi Trader namun enggan Analisa by XennkuIngin menjadi Trader namun Enggan analisa, script aja
deKoder | Whale Prints [WP]deKoder | Whale Prints | Large Trade Orderflow Detection
This open-source indicator is a clean, precision tool for revealing hidden large-volume activity directly on your chart. By scanning ultra-low timeframes while you view higher ones, it projects statistically significant volume spikes as intuitive markers giving you a clear window into institutional orderflow without visually overwhelming the price action.
Key Features & Strengths
True Intra-Bar Detection | Monitors lower timeframes down to 1-second bars, catching aggressive block trades and absorption that occur within a single higher-TF candle.
Accurate Trade Levels | Markers are placed at the actual hl2 price of the aggressive lower-TF bar, providing a far more accurate estimate of where the large trade executed than typical mid-candle approximations.
Multiple Trades Per Bar | If several significant volume spikes occur inside one higher-TF candle, all qualifying levels are displayed individually – offering greater granularity and context.
Adaptive Thresholding | Uses higher-TF volume standard deviation (stable baseline) intelligently scaled to the lower timeframe, reducing noise in quiet markets while remaining sensitive to genuine outliers.
Clean Visual Hierarchy | Three tiers (Small 🞉 / Medium ⏣ / Large 🞊) with dynamic symbol size, line thickness, transparency, and user-definable bullish/bearish coloring based on LTF candle direction.
How to Use It as an Orderflow Tool
Large volume spikes often mark the footprints of institutional players. This indicator helps you read those footprints in real time.
Small (🞉) | Moderate excess volume: early interest, probing, or building positions.
Medium (⏣) | Strong spike: increasing conviction, potential momentum shift.
Large (🞊) | Extreme outlier: frequently climactic volume signalling exhaustion or major absorption.
Why Price Often Reverses at These Levels
Large players frequently place limit orders in areas rich with liquidity – commonly just beyond recent highs/lows where retail stop-losses cluster. When price sweeps those zones:
Stop hunts trigger a cascade of forced exits, creating liquidity for larger participants to fill their limit orders.
Breakout traders who entered on the move are trapped offside and become forced buyers/sellers when price reverses.
Institutions use this liquidity to execute large orders at favorable prices with minimal immediate market impact.
The result is aggressive volume at the extreme, followed by reversal as smart money finishes filling and price returns toward fair value. Clusters of medium/large markers at swing points are classic signs of this dynamic.
Practical Analysis Tips
Reversals/Absorption | Clusters of large markers at swing highs/lows (especially opposing-color spikes) signal potential turns – buyers or sellers stepping in aggressively.
Level Defense | Trades piling up at key support/resistance suggest institutions protecting or building positions.
Trapped Traders | Large spikes beyond range pivots followed by reversal back into the range often highlight trapped breakout traders who add fuel to a move when they are forced to liquidate their positions.
Use Offset (-3 to +3) to shift markers away from current price for clearer viewing.
Pro tip: Zoom into the lower TF occasionally to see how these projected levels align exactly with aggressive candles.
Recommended Pairings
This is designed as a pure orderflow overlay to be layered with your existing setup:
Support & Resistance (horizontals, pivots, Volume Profile POC/VAH/VAL)
Market Structure tools (swing points, order blocks, fair value gaps)
Trend filters (EMAs, SuperTrend, higher-TF bias)
Momentum oscillators for timing confluence
Best Suited For
Scalping & day trading (1–15 min charts with 5–30S lower TF)
Swing trading entries (1H–4H charts with 1–5 min lower TF)
High-liquidity markets: crypto perpetuals, forex majors, volatile stocks
Add this indicator to start seeing the hidden aggression driving price and expose the hidden edges beyond the noise.
☠ FR33FA11 | deKoder ☠
Released January 2025 | Open Source
Reversal Radar - Sensitive Mode - SZ AlphaSensitive Mode is the early detection layer within the Reversal Radar framework.
It is designed to highlight areas where market reversals may begin to emerge, not to generate trade entries.
The radar is built on:
Structural turns (pivot-based)
Behavioral shifts (strength / weakness)
Volatility & participation filters (ATR / Volume)
Trend context via EMA
Core thresholds are intentionally encapsulated into Sensitivity Tiers (Low / Medium / High) to preserve structural consistency and avoid overfitting.
This tool is for risk awareness and context detection,
not for trade execution or signal chasing.
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Sensitive Mode 是 Reversal Radar 体系中的早期反转探测层，用于在市场结构出现变化时，提前标记潜在的反转关注区域。
它并非交易信号，也不用于给出买卖指令，而是通过：
结构拐点（Pivot）
行为变化（强弱转折）
波动与参与度过滤（ATR / Volume）
趋势环境参考（EMA）
来探测“反转开始被观察到的时刻”。
为避免误用，核心阈值已被收口为灵敏度档位（Low / Medium / High），用户只需选择观察节奏，而无需调参。
本工具用于风险识别与情境判断，
不是交易建议，也不是信号生成器。
Free structure.
Decisions remain yours.
— SZ Alpha
CPR Kuvera Trading Academy - Created by RajeshPlotting CPR components plotting pivot levels of daily weekly monthly
TITAN MARKET PHYSICS ENGINETITAN MARKET PHYSICS ENGINE
Titan is not a conventional indicator, it is a Physics Interpretation Engine. This algorithm uses physics as its native language to decode the market. Instead of viewing simple candles, the system processes the interaction between Force (Volume/Money) and Movement (Price) under a framework of programmed physical laws.
To understand Titan's signals, you must comprehend the logic behind its market reading:
⚛️ THE ALGORITHM'S LANGUAGE (THE 5 LAWS)
Law of Structural Gravity: The algorithm assumes price travels from one level to another by attraction. If a Cyan Wall is broken, the system calculates a drastic increase in "gravity" toward the next structural level.
Law of the Vacuum: The code understands that the market abhors vacuums. It detects rapid movements that leave "gaps" and marks them as low pressure zones that will likely suck the price back.
Law of Elasticity (Mean Reversion): The Ribbon acts as a dynamic equilibrium point. The algorithm measures tension: if price stretches too far, it must collapse back to the ribbon.
Law of Inertia: Force > Friction. If price crosses a calculated wall without rejection, the internal logic suggests immediate continuation.
Law of Compression: When price is trapped between two close walls, forces cancel out mathematically. Action: The algorithm recommends staying flat until the compression breaks.
📡 NAVIGATION INTERFACE
Cyan Boxes (Institutional Blockades): Major containment walls. Smart Money defense zones.
Purple Boxes (Fractal Triggers): Intraday reaction points for precision entries.
Energy Ribbon: Center of gravity and dynamic support.
🎛️ CALIBRATION (MODES)
SCALPING: Maximum sensitivity for 1m - 5m timeframes.
DAY TRADING : Balanced. Filters noise for daily expansion (5m - 15m).
SWING: Low sensitivity. Captures macro trends (1H - 4H).
🔄 ADAPTIVE INTELLIGENCE (Smart Invalidation)
Visual Hygiene: If price invalidates a zone, the engine automatically stops projecting it to keep your chart clean.
Market Memory: Although a box may disappear, the level remains relevant as historical points are often re-tested.
DISCLAIMER: Quantitative analysis tool for educational purposes. Trading involves high risk. Capital management is the operator's responsibility.
DEMA20 + VWAP200 + CHoCH BigBeluga + Daily Candle de NatantiaTo simplify things for traders like me who are just starting out with limited resources, I'm offering this indicator that aggregates other well-known and configurable indicators:
- 2 DEMA 20,
- 1 VWAP 200,
- BigBeluga's Choch Pattern indicator,
- Nanantia's Daily Candle indicator.
I recommend combining this indicator with an RSI divergence that displays 30%, 50%, and 70%, as well as a kill zone indicator for those trading Asian reversal or OPR.
This indicator is particularly powerful when the candles are displayed in Heikin Ashi mode.
Happy trading, and thanks to the community of passionate developers and to chatGPT.
Quarter Point Autopilot v2.0.0Hello traders,
I am pleased to release the Quarter Point Autopilot . This is a specialized structural framework designed to impose mathematical order on price action by synthesizing major market cycles with fractal geometric subdivisions.
Defining accurate Support and Resistance often presents a dilemma: rely on subjective, manually drawn lines that vary from trader to trader, or clutter charts with lagging moving averages. The Quarter Point Autopilot solves this by quantifying "Algorithmic Geometry." It eliminates subjectivity by projecting a universal grid based on the mathematical quarter-points that institutional algorithms utilize to execute orders.
📐 The Concept: Algorithmic Geometry
To the untrained eye, price movement can appear chaotic or random. However, professional analysis reveals that markets move in measured "Steps." Large institutions do not place orders at random numbers; they utilize specific mathematical fractions of a Major Cycle to manage liquidity.
This indicator is specifically engineered to visualize this hidden framework. By defining a "Major Cycle" (Point A and Point B), the script calculates the entire universe of the chart. It mathematically subdivides the range into Halves, Quarters, Eighths, and Sixteenths, highlighting the precise levels where price creates "Structure" and where algorithmic reactions are most likely to occur.
⚙️ The Autopilot Logic: Infinite Scroll
In previous iterations of quarter-theory tools, traders were forced to manually redraw grids as price expanded into new territories.
This version introduces the "Autopilot" engine ( current_base logic ). The script dynamically detects which "Block" price is currently trading within and automatically projects the grid forward and backward in real-time. Whether price rallies 1,000 points or drops 500, the mathematical subdivisions snap to the correct integer block immediately, ensuring you never trade without context.
📊 Fractal Hierarchy
Not all levels are created equal. The indicator uses a visual hierarchy to help you distinguish the strength of a level at a glance:
Major Cycle: The "Hard Deck" boundaries of the range (0% / 100%).
Half-Major: The Equilibrium of the cycle (50%).
Large Quarters: The standard deviation points (25% / 75%).
Mid & Small Quarters: The granular detail (Eighths and Sixteenths) for precision entries.
User Guide:
Simply input two "Major Cycle Points" (a significant High and Low) in the settings. The script calculates the "Step Size" and handles the rest, projecting the grid relative to current price action.
Settings Include:
Calculation Group: Set your Point A and Point B to define the grid size.
Visual Group: Toggle the upper/lower buffers and customize the lookback/lookforward lengths to keep your chart clean.
Label Group: Choose to see Level Names, Prices, or both.
Quarter Point Levels [GBPJPY] RIIBDynamic Quarter Point Levels
Overview
This indicator is a specialized charting tool designed for traders who follow Institutional Price Action and Psychological Levels. Unlike standard grid indicators, the Dynamic Quarter Point Levels script focuses on the specific decimal increments used by large banks and algorithmic execution desks—specifically the 0.250, 0.500, 0.750, and 1.000 milestones.
On pairs like GBPJPY, these "Quarter Points" act as magnets for liquidity. This indicator ensures you never miss a rejection or a breakout from these high-probability zones.
Key Features
Dynamic Market Following: The script automatically detects the current market price and projects the nearest Quarter Points. As the market trends up or down, the levels shift with it, keeping your chart clean and relevant.
Visual Hierarchy:
Major Whole Numbers & Mid-Points (.000, .500): Displayed as solid, high-visibility lines (Major levels).
Intermediate Quarters (.250, .750): Displayed as dotted lines to help differentiate between primary and secondary support/resistance.
Price Labeling: Real-time price labels on the right-hand side for precise order entry and stop-loss placement.
Fully Customizable: Adjust the "Quarter Step Size" to fit different assets (e.g., 0.25 for FX, 1.0 or 5.0 for Gold/Indices) and modify colors to match your dark or light mode theme.
Why Use Quarter Points?
Large financial institutions do not place orders at random prices. They cluster liquidity at psychological round numbers.
The Whole Number (1.000): The strongest psychological barrier.
The Mid-Point (0.500): Often used as the "Fair Value" for a session.
The Quarters (0.250/0.750): Known as "The Trap" zones where liquidity sweeps often occur before a trend continuation.
How to Use
Rejection Trading: Look for candlestick wicks touching a level and closing back away from it (Stop-run confirmation).
Break & Retest: Use the levels to identify clear breakout points and wait for a retest of the level before entering.
Targets: Use the next Quarter Point as a logical Take Profit (TP) target, as price tends to travel from one quarter to the next in high-volatility sessions like the London Open.
Developed for professional intraday traders targeting GBPJPY and Major FX pairs.
Session Standard Deviations [IbnHindi]Session Standard Deviation⁺
Introduction
Session Standard Deviation⁺ is a comprehensive technical analysis tool designed to map key session-based price levels through Fibonacci deviation zones while simultaneously tracking real-time market regime conditions. Built for precision intraday analysis, this indicator combines structured session reference points with volatility-based regime filtering to provide traders with both tactical price zones and macro bias context across any liquid instrument.
This indicator does not predict direction or generate trade signals. It operates on confirmed time-based session structures and produces logic-bound visuals designed for traders who understand ICT-based price delivery models and seek consistent visual frameworks for tracking displacement, deviation targeting, and regime-aware decision making.
Key Terms and Definitions
Session Reference Candle : A specific time-stamped candle that serves as the structural anchor for Fibonacci projections. The tool recognizes four distinct session markers: London Open (4:00 AM), Asia Range (8:00 PM–12:00 AM), New York 8:30 AM, and New York 9:30 AM. Each session's high and low become the baseline for calculating all subsequent deviation levels.
Fibonacci Deviations : Price levels calculated as multiples of the session range, extending both above and beyond the reference high and low. Unlike traditional Fibonacci retracements, these deviations project targets at standard levels (0, 0.5, 0.618, 1, 1.618) as well as extended levels (2, 2.25, 2.5, 3, 3.25, 3.5, 4, 4.25, 4.5, 4.618), and their negative equivalents. These zones represent potential areas where institutional orders may cluster during expansion or retracement.
Regime Analysis : A multi-factor assessment of current market conditions based on volatility (ATR), directional bias (EMA), and trend strength (ADX). The regime framework categorizes the market into three states: trending bullish, trending bearish, or consolidating. This classification helps traders contextualize whether session-based deviations are likely to act as continuation targets or reversal zones.
ATR (Average True Range) : A volatility measurement comparing fast and slow periods to determine whether the market is expanding (regime-high volatility) or contracting (regime-low volatility). When fast ATR exceeds slow ATR, the market is considered to be in an elevated volatility state, which often accompanies displacement moves that respect deviation levels.
Trend EMA : A directional filter using an exponential moving average to determine whether price is trading above or below a defined trend anchor. This binary condition helps classify whether the regime is structurally bullish or bearish.
ADX (Average Directional Index) : A momentum oscillator measuring trend strength. When ADX is above 25, the market is considered to have sufficient momentum to support regime classification as trending. Below 25 suggests choppy or non-directional conditions (consolidation).
Session Box (Asia Only) : A visual range overlay drawn for the Asia session (8:00 PM–12:00 AM), highlighting the consolidation zone that often precedes major market expansion. This box is rendered with customizable opacity and provides a structural reference for overnight price action.
Fib Extension Mode : Determines how deviation lines project forward in time. Options include extending right indefinitely, extending a fixed number of bars, or stopping at the session reference point. This allows traders to declutter charts or maintain persistent levels based on their analytical preference.
Description
At its core, Session Standard Deviation⁺ operates on a two-layer framework: structural deviation mapping and dynamic regime classification. Each qualifying session creates a full matrix of Fibonacci-based price levels, calculated from the session's confirmed high and low. These levels remain active and extend forward until the next session triggers, providing persistent reference zones for intraday price delivery.
The tool does not account for partial moves or wick-based touches. Deviation levels are drawn as horizontal lines and remain static once plotted. Labels are positioned to the left of each line by default, displaying the session prefix (LON, ASIA, PRE, NYAM) alongside the deviation multiplier. All labels use a minimal style with no background fill, ensuring clean visual hierarchy.
The regime analysis operates independently and updates in real-time on each new bar. A table positioned in the top-right corner displays the current regime classification, live ATR value, and optional ADX strength. The table's background color shifts dynamically—green for bullish regimes, red for bearish regimes, and gray for consolidation—allowing traders to immediately assess whether session deviation zones should be interpreted as continuation targets or reversal areas.
The model remains active until the next session reference candle is detected, at which point a new set of deviation levels is generated. Older session levels are automatically cleaned up after 300 objects to prevent performance degradation on lower-timeframe charts.
Key Features
Multi-Session Structure : Track up to four distinct session types simultaneously—London (4:00 AM 1H candle), Asia (8:00 PM–12:00 AM range), New York 8:30 AM (5m candle), and New York 9:30 AM (5m candle). Each session generates its own color-coded deviation matrix, allowing traders to differentiate between overnight, pre-market, and intraday structural levels.
Extended Fibonacci Levels : The tool plots 26 unique deviation levels, including both standard and extended targets. Positive deviations (0 through 4.618) project above the session high, while negative deviations project below the session low. Each level can be toggled individually, enabling traders to focus only on the zones relevant to their strategy.
Real-Time Regime Classification : A live regime panel evaluates market conditions using ATR comparison (fast vs. slow), trend EMA positioning, and ADX strength. The regime updates on every bar and displays one of three states: "Reversal to Bullish" (trending up with high volatility), "Bias: Bearish (Hi-Vol)" (trending down with high volatility), or "Consolidating" (low directional conviction). This dynamic classification allows traders to interpret session fibs contextually rather than mechanically.
Customizable Color Coding : Each session type is assigned a unique color—purple for London, blue for Asia, and orange for New York pre-market candles. These colors carry through to both the deviation lines and their labels, maintaining visual consistency across timeframes and chart layouts.
Flexible Extension Controls : Choose how deviation lines project into the future. "Right N Bars" extends lines a fixed number of bars forward (default 50), "Right" extends indefinitely, and "None" stops extension at the session reference point. This flexibility allows traders to maintain clean charts on busy intraday timeframes while preserving structural context.
Minimal Label Design : Labels display session prefix and deviation multiplier (e.g., "LON 2.5" or "NYAM -0.618") with no background fill. Label placement can be toggled between left and right alignment, and padding is customizable to prevent overlap with price action.
Session-Specific Box Overlay : The Asia session (8:00 PM–12:00 AM) is rendered as a semi-transparent box spanning its high and low range. This visual aid helps traders identify the overnight consolidation zone and anticipate expansion moves during London or New York open.
Timezone Awareness : All session detections are timezone-aware and default to America/New_York. Traders can customize the timezone input to align with their broker's server time or preferred regional standard.
Regime Panel Display : The top-right table shows the indicator name, current regime state, live ATR value, and optional ADX reading. The panel's background color shifts with regime changes, providing instant visual feedback without requiring interpretation of numeric values.
Memory Management : The tool automatically deletes lines and labels after 300 objects are created, preventing performance issues on lower timeframes while maintaining enough historical context for multi-session analysis.
How Traders Can Use the Indicator Effectively
Session Standard Deviation⁺ is not a signal generator or automated trading system. It is best used as a visual reference framework for understanding where price may seek liquidity based on session expansion logic and how current volatility conditions contextualize those projections. The tool excels as a companion for:
- Mapping session-based expansion targets and retracement zones for ICT-style price delivery analysis
- Differentiating between low-probability and high-probability deviation zones based on regime classification
- Journaling and reviewing which session structures produce the cleanest reactions across different market conditions
- Identifying when price is respecting session fibs as continuation levels (trending regime) versus when deviation zones may act as exhaustion points (consolidation regime)
Traders using the tool should be familiar with session-based analysis, Fibonacci extension logic, and the role of volatility in price delivery. The indicator is most effective when combined with narrative, higher-timeframe structure, and discretionary interpretation of regime shifts.
Usage Guidance
1. Add Session Standard Deviation⁺ to any TradingView chart. This is a fractal tool and can be applied across any timeframe or liquid instrument.
2. Configure which sessions you want to track using the input toggles. Disable sessions that are not relevant to your trading hours or strategy.
3. Use the regime panel to assess whether the current market environment supports continuation into higher deviation levels (trending regime) or whether deviation zones are more likely to act as reversal points (consolidation regime).
4. Reference session deviation lines as structural zones for limit orders, stop placement, or target setting. Combine these levels with your own narrative and higher-timeframe bias to determine which zones carry the highest probability of reaction.
5. Adjust label placement, line width, and extension mode to match your visual preferences and chart timeframe. Lower timeframes (1m–5m) often benefit from shorter extension lengths, while higher timeframes (15m–1H) may prefer persistent lines.
6. Review how price interacts with session fibs across different regime classifications. Over time, you'll develop discretion for which deviation levels are most respected during specific market conditions.
Session Standard Deviation⁺ provides the structural scaffolding and environmental context for informed intraday decision-making. Use it as a lens—not a crutch—for navigating session-based price delivery.
Quantum Reversal Detector [JOAT]
Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis
Introduction and Purpose
Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context.
This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal.
Why These Components Work Together
The indicator combines five analytical approaches, each addressing a different aspect of reversal detection:
1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold)
2. MACD Crossovers - Confirms momentum direction change
3. Support/Resistance Proximity - Ensures price is at a significant level
4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes
5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating
These components are not randomly combined. Each filter catches reversals that others miss:
RSI catches momentum exhaustion but misses structural reversals
MACD catches momentum shifts but lags price action
S/R proximity catches structural levels but ignores momentum
Multi-depth momentum catches divergences across timeframes
Probability scoring combines all factors into actionable confidence levels
How the Detection System Works
Step 1: Pattern Detection
The indicator first identifies potential reversal conditions:
// Check if price is at support/resistance
float lowestLow = ta.lowest(low, period)
float highestHigh = ta.highest(high, period)
bool atSupport = low <= lowestLow * 1.002
bool atResistance = high >= highestHigh * 0.998
// Check RSI conditions
float rsi = ta.rsi(close, 14)
bool oversold = rsi < 30
bool overbought = rsi > 70
// Check MACD crossover
float macd = ta.ema(close, 12) - ta.ema(close, 26)
float signal = ta.ema(macd, 9)
bool macdBullish = ta.crossover(macd, signal)
bool macdBearish = ta.crossunder(macd, signal)
// Combine for reversal detection
if atSupport and oversold and macdBullish
bullishReversal := true
Step 2: Multi-Depth Momentum Analysis
The indicator calculates momentum across multiple periods to detect divergences:
calculateQuantumMomentum(series float price, simple int period, simple int depth) =>
float totalMomentum = 0.0
for i = 0 to depth - 1
int currentPeriod = period * (i + 1)
float momentum = ta.roc(price, currentPeriod)
totalMomentum += momentum
totalMomentum / depth
This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts.
Step 3: Bayesian Probability Calculation
The indicator uses Bayesian updating to calculate reversal probability:
bayesianProbability(series float priorProb, series float likelihood, series float evidence) =>
float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb
math.min(math.max(posterior, 0.0), 1.0)
The prior probability starts at 50% and updates based on:
RSI extreme readings increase likelihood
MACD crossovers increase likelihood
S/R proximity increases likelihood
Momentum divergence increases likelihood
Step 4: Confidence Intervals
Using Monte Carlo simulation concepts, the indicator estimates price distribution:
monteCarloSimulation(series float price, series float volatility, simple int iterations) =>
float sumPrice = 0.0
float sumSqDiff = 0.0
for i = 0 to iterations - 1
float randomFactor = (i % 10 - 5) / 10.0
float simulatedPrice = price + volatility * randomFactor
sumPrice += simulatedPrice
float avgPrice = sumPrice / iterations
// Calculate standard deviation for confidence intervals
This provides 95% and 99% confidence bands around the current price.
Signal Classification
Signals are classified by confirmation level:
Confirmed Reversal : Pattern detected for N consecutive bars (default 3)
High Probability : Confirmed + Bayesian probability > 70%
Ultra High Probability : High probability + PDF above average
Dashboard Information
The dashboard displays:
Bayesian Probability - Updated reversal probability (0-100%)
Quantum Momentum - Multi-depth momentum average
RSI - Current RSI value with overbought/oversold status
Volatility - Current ATR as percentage of price
Reversal Signal - BULLISH, BEARISH, or NONE
Divergence - Momentum divergence detection
MACD - Current MACD histogram value
S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL
95% Confidence - Price range with 95% probability
Bull/Bear Targets - ATR-based reversal targets
Visual Elements
Quantum Bands - ATR-based upper and lower channels
Probability Field - Circle layers showing probability distribution
Confidence Bands - 95% and 99% confidence interval circles
Reversal Labels - REV markers at confirmed reversals
High Probability Markers - Star diamonds at high probability setups
Reversal Zones - Boxes around confirmed reversal areas
Divergence Markers - Triangles at momentum divergences
How to Use This Indicator
For Reversal Trading:
1. Wait for Bayesian Probability to exceed 70%
2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE)
3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts)
4. Enter when REV label appears with high probability marker
For Risk Management:
1. Use the 95% confidence band as a stop-loss reference
2. Use Bull/Bear Targets for take-profit levels
3. Higher probability readings warrant larger position sizes
For Filtering False Signals:
1. Increase Confirmation Bars to require more consecutive signals
2. Only trade when probability exceeds 70%
3. Require divergence confirmation for highest conviction
Input Parameters
Reversal Period (21) - Lookback for S/R and momentum calculations
Quantum Depth (5) - Number of momentum layers for multi-depth analysis
Confirmation Bars (3) - Consecutive bars required for confirmation
Detection Sensitivity (1.2) - Band width and target multiplier
Bayesian Probability (true) - Enable probability calculation
Monte Carlo Simulation (true) - Enable confidence interval calculation
Normal Distribution (true) - Enable PDF calculation
Confidence Intervals (true) - Enable confidence bands
Timeframe Recommendations
1H-4H: Best for swing trading reversals
Daily: Fewer but more significant reversal signals
15m-30m: More signals, requires higher probability threshold
Limitations
Statistical concepts are simplified implementations for Pine Script
Monte Carlo uses deterministic pseudo-random factors, not true randomness
Bayesian probability uses simplified prior/likelihood model
Reversal detection does not guarantee actual reversals will occur
Confirmation bars add lag to signal generation
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works.
This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses.
- Made with passion by officialjackofalltrades
Volume-Confirmed Trend Thrust IndicatorOVERVIEW
This indicator combines trend strength, momentum & volume analysis to generate high-conviction buy and sell signals. It is based on the "Volume Confirmation for a Trend System" (VCTS) by Buff Pelz Dormeier (TASC August 2024), which I have taken the liberty of 'buffing up' (heh!) by swapping out original VPCI component with the ATR-aware Net Accumulation Flow (NAF) indicator derived from Markos Katsanos' VPN indicator (TASC April 2021).
The result is a system that only triggers buy signals when three independent conditions align:
• A strong trend exists (ADX)
• Momentum is bullish (TTI)
• Institutional accumulation is detected (NAF)
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COMPONENTS
█ ADX (Average Directional Index)
Measures trend strength regardless of direction. A reading above 30 indicates a strong trend worth trading. This filter prevents signals during choppy, sideways markets.
█ TTI (Trend Thrust Indicator)
Dormeier's volume-weighted MACD variant that provides momentum direction. Unlike standard MACD, TTI uses Volume-Weighted Moving Averages (VWMA) and applies a volume multiplier that amplifies signals when volume confirms price movement. When TTI crosses above its signal line, momentum is considered bullish.
█ NAF (Net Accumulation Flow)
The key enhancement - in my humble opinion - over the original VCTS. NAF classifies each bar's volume as:
• Accumulation: Price moved UP more than 10% of ATR
• Distribution: Price moved DOWN more than 10% of ATR
• Neutral: Price movement too small to be meaningful (filtered as noise)
NAF then calculates the net flow (Accumulation Volume - Distribution Volume) over a 30-bar lookback period, normalized and smoothed. This provides a cleaner read on whether institutions are accumulating or distributing.
Perceived benefits of NAF:
• ATR-based noise filtering eliminates false readings from small price movements
• Rolling 30-bar accumulation captures sustained institutional activity
• Empirically calibrated thresholds based on 717 stocks / 360,000 observations
• 3-period EMA smoothing reduces whipsaws
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SIGNAL LOGIC
🟢 BUY SIGNAL
All three conditions must be true simultaneously:
1. ADX > 30 (strong trend)
2. TTI > Signal Line (bullish momentum)
3. NAF > 16 (accumulation)
Signals fire on the first bar where all conditions align, preventing repeated signals during sustained bullish periods.
🔴 SELL SIGNAL
Exit when volume flow turns negative:
• NAF < -9 (below neutral zone, indicating distribution).
This indicator retains Dormeier's asymmetric approach (strict entry, quick exit) to help protect profits when institutional support fades.
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NAF THRESHOLD REFERENCE
Based on proprietary empirical calibration (717 stocks, 360K observations):
>= +35 │ Strong Accumulation (P95, ~5% of days)
>= +28 │ Solid Accumulation (P90, ~10% of days)
>= +16 │ Moderate Accumulation (P75) ← Default Buy Threshold
-9 to +16 │ Neutral Zone (~50% of days)
<= -9 │ Below Neutral ← Default Sell Threshold
<= -22 │ Solid Distribution (P10)
<= -29 │ Strong Distribution (P5)
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SETTINGS
Setting for all 3 variables (ADX, TTI & NAF), alerts and visual conditional formatting are configurable.
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USAGE TIPS
1. Works best on daily timeframe for swing trading
2. More effective on liquid stocks where volume data is meaningful
3. Consider using NAF threshold of 28 (P90) for higher conviction entries
5. Combine with price action analysis (support/resistance, RS, chart patterns)
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MAXIMUM RESPECT:
• VCTS (ADX + TTI + VPCI): Buff Pelz Dormeier, "Volume Confirmation For A Trend System", Technical Analysis of Stocks & Commodities (TASC), August 2024. Pine Script adaptation: PineCoders.
• VPN / NAF: Markos Katsanos, Technical Analysis of Stocks & Commodities (TASC), April 2021. Pine Script adaptation: LevelUp/John Muchow.
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DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always conduct your own analysis and consider your risk tolerance before making trading decisions. Use appropriate position sizing and stop-loss orders to manage risk.
BOS/CHoCH Impulsive Move Detector #12Updated exit logic to measure at candle close vs candle wicks. Added session PnL/hr and implemented a FAST identifier that tracks impulse moves >= 10% <=3 hrs.
