Dynamic 15-Ticker Multi-Symbol Table 2025 EditionTitle:
Dynamic 15-Ticker Multi-Symbol Table 2025 Edition
Description:
This script provides a multi-ticker table for TradingView charts. It is fully open-source and free to use. The table displays up to 15 tickers, including SPY as the baseline symbol. The script updates in real-time on any timeframe.
Features:
SPY baseline: The first row always shows SPY for reference.
Custom tickers: Add up to 14 additional tickers via the input settings. Rows without tickers remain hidden.
Price and direction: Each ticker row displays the current price and an indicator of direction based on recent price movement.
RSI (14) indicator: Shows the current relative strength index value with a simple directional marker.
Volume formatting: Displays volume values in thousands, millions, or billions automatically. Volume change is indicated with directional markers.
Stable layout: The table uses alternating row colors for readability and maintains consistent row count without collapsing or disappearing rows.
Real-time updates: All displayed values refresh automatically on any chart timeframe.
How to use:
Add the script to your chart.
Enter your chosen tickers in the input settings. SPY will remain as the first ticker automatically.
Tickers not entered will remain hidden. When a ticker is removed, the row will be removed-dynamically.
Observe live prices, RSI values, and volume changes directly on your chart without switching symbols.
Additional notes:
The script is fully open-source; users are encouraged to modify or improve it.
No external links or references are required to understand its function.
This script does not repaint and does not require additional requests to update values.
Indicadores e estratégias
Volume Profiles on Weekly TWAP and Zscore ColoringThis indicator takes (DeadCats) volume profile and starts a new profile when price reaches a new Weekly TWAP line or deviation line.
The candles are also colored by Z score based on the 5 deviations from the Daily TWAP, which is anchored from previous days settlement time, 14:59:30CT. The max number of deviations can be changed in the settings to change the sensitivity of the z score coloring.
Impulse Reactor RSI-SMA Trend Indicator [ApexLegion]Impulse Reactor RSI-SMA Trend Indicator
Introduction and Theoretical Background
Design Rationale
Standard indicators frequently generate binary 'BUY' or 'SELL' signals without accounting for the broader market context. This often results in erratic "Flip-Flop" behavior, where signals are triggered indiscriminately regardless of the prevailing volatility regime.
Impulse Reactor was engineered to address this limitation by unifying two critical requirements: Quantitative Rigor and Execution Flexibility.
The Solution
Composite Analytical Framework This script is not a simple visual overlay of existing indicators. It is an algorithmic synthesis designed to function as a unified decision-making engine. The primary objective was to implement rigorous quantitative analysis (Volatility Normalization, Structural Filtering) directly within an alert-enabled framework. This architecture is designed to process signals through strict, multi-factor validation protocols before generating real-time notifications, allowing users to focus on structurally validated setups without manual monitoring.
How It Works
This is not a simple visual mashup. It utilizes a cross-validation algorithm where the Trend Structure acts as a gatekeeper for Momentum signals:
Logic over Lag: Unlike simple moving average crossovers, this script uses a 15-layer Gradient Ribbon to detect "Laminar Flow." If the ribbon is knotted (Compression), the system mathematically suppresses all signals.
Volatility Normalization: The core calculation adapts to ATR (Average True Range). This means the indicator automatically expands in volatile markets and contracts in quiet ones, maintaining accuracy without constant manual tweaking.
Adaptive Signal Thresholding: It incorporates an 'Anti-Greed' algorithm (Dynamic Thresholding) that automatically adjusts entry criteria based on trend duration. This logic aims to mitigate the risk of entering positions during periods of statistical trend exhaustion.
Why Use It?
Market State Decoding: The gradient Ribbon visualizes the underlying trend phase in real-time.
◦ Cyan/Blue Flow: Strong Bullish Trend (Laminar Flow).
◦ Magenta/Pink Flow: Strong Bearish Trend.
◦ Compressed/Knotted: When the ribbon lines are tightly squeezed or overlapping, it signals Consolidation. The system filters signals here to avoid chop.
Noise Reduction: The goal is not to catch every pivot, but to isolate high-confidence setups. The logic explicitly filters out minor fluctuations to help maintain position alignment with the broader trend.
⚖️ Chapter 1: System Architecture
Introduction: Composite Analytical Framework
System Overview
Impulse Reactor serves as a comprehensive technical analysis engine designed to synthesize three distinct market dimensions—Momentum, Volatility, and Trend Structure—into a unified decision-making framework. Unlike traditional methods that analyze these metrics in isolation, this system functions as a central processing unit that integrates disparate data streams to construct a coherent model of market behavior.
Operational Objective
The primary objective is to transition from single-dimensional signal generation to a multi-factor assessment model. By fusing data from the Impulse Core (Volatility), Gradient Oscillator (Momentum), and Structural Baseline (Trend), the system aims to filter out stochastic noise and identify high-probability trade setups grounded in quantitative confluence.
Market Microstructure Analysis: Limitations of Conventional Models
Extensive backtesting and quantitative analysis have identified three critical inefficiencies in standard oscillator-based strategies:
• Bounded Oscillator Limitations (The "Oscillation Trap"): Traditional indicators such as RSI or Stochastics are mathematically constrained between fixed values (0 to 100). In strong trending environments, these metrics often saturate in "overbought" or "oversold" zones. Consequently, traders relying on static thresholds frequently exit structurally valid positions prematurely or initiate counter-trend trades against prevailing momentum, resulting in suboptimal performance.
• Quantitative Blindness to Quality: Standard moving averages and trend indicators often fail to distinguish the qualitative nature of price movement. They treat low-volume drift and high-velocity expansion identically. This inability to account for "Volatility Quality" leads to delayed responsiveness during critical market events.
• Fractal Dissonance (Timeframe Disconnect): Financial markets exhibit fractal characteristics where trends on lower timeframes may contradict higher timeframe structures. Manual integration of multi-timeframe analysis increases cognitive load and susceptibility to human error, often resulting in conflicting biases at the point of execution.
Core Design Principles
To mitigate the aforementioned systemic inefficiencies, Impulse Reactor employs a modular architecture governed by three foundational principles:
Principle A:
Volatility Precursor Analysis Market mechanics demonstrate that volatility expansion often functions as a leading indicator for directional price movement. The system is engineered to detect "Volatility Deviation" — specifically, the divergence between short-term and long-term volatility baselines—prior to its manifestation in price action. This allows for entry timing aligned with the expansion phase of market volatility.
Principle B:
Momentum Density Visualization The system replaces singular momentum lines with a "Momentum Density" model utilizing a 15-layer Simple Moving Average (SMA) Ribbon.
• Concept: This visualization represents the aggregate strength and consistency of the trend.
• Application: A fully aligned and expanded ribbon indicates a robust trend structure ("Laminar Flow") capable of withstanding minor counter-trend noise, whereas a compressed ribbon signals consolidation or structural weakness.
Principle C:
Adaptive Confluence Protocols Signal validity is strictly governed by a multi-dimensional confluence logic. The system suppresses signal generation unless there is synchronized confirmation across all three analytical vectors:
1. Volatility: Confirmed expansion via the Impulse Core.
2. Momentum: Directional alignment via the Hybrid Oscillator.
3. Structure: Trend validation via the Baseline. This strict filtering mechanism significantly reduces false positives in non-trending (choppy) environments while maintaining sensitivity to genuine breakouts.
🔍 Chapter 2: Core Modules & Algorithmic Logic
Module A: Impulse Core (Normalized Volatility Deviation)
Operational Logic The Impulse Core functions as a volatility-normalized momentum gauge rather than a standard oscillator. It is designed to identify "Volatility Contraction" (Squeeze) and "Volatility Expansion" phases by quantifying the divergence between short-term and long-term volatility states.
Volatility Z-Score Normalization
The formula implements a custom normalization algorithm. Unlike standard oscillators that rely on absolute price changes, this logic calculates the Z-Score of the Volatility Spread.
◦ Numerator: (atr_f - atr_s) captures the raw momentum of volatility expansion.
◦ Denominator: (std_f + 1e-6) standardizes this value against historical variance.
◦ Result: This allows the indicator scales consistently across assets (e.g., Bitcoin vs. Euro) without manual recalibration.
f_impulse() =>
atr_f = ta.atr(fastLen) // Fast Volatility Baseline
atr_s = ta.atr(slowLen) // Slow Volatility Baseline
std_f = ta.stdev(atr_f, devLen) // Volatility Standard Deviation
(atr_f - atr_s) / (std_f + 1e-6) // Normalized Differential Calculation
Algorithmic Framework
• Differential Calculation: The system computes the spread between a Fast Volatility Baseline (ATR-10) and a Slow Volatility Baseline (ATR-30).
• Normalization Protocol: To standardize consistency across diverse asset classes (e.g., Forex vs. Crypto), the raw differential is divided by the standard deviation of the volatility itself over a 30-period lookback.
• Signal Generation:
◦ Contraction (Squeeze): When the Fast ATR compresses below the Slow ATR, it registers a potential volatility buildup phase.
◦ Expansion (Release): A rapid divergence of the Fast ATR above the Slow ATR signals a confirmed volatility expansion, validating the strength of the move.
Module B: Gradient Oscillator (RSI-SMA Hybrid)
Design Rationale To mitigate the "noise" and "false reversal" signals common in single-line oscillators (like standard RSI), this module utilizes a 15-Layer Gradient Ribbon to visualize momentum density and persistence.
Technical Architecture
• Ribbon Array: The system generates 15 sequential Simple Moving Averages (SMA) applied to a volatility-adjusted RSI source. The length of each layer increases incrementally.
• State Analysis:
Momentum Alignment (Laminar Flow): When all 15 layers are expanded and parallel, it indicates a robust trend where buying/selling pressure is distributed evenly across multiple timeframes. This state helps filter out premature "overbought/oversold" signals.
• Consolidation (Compression): When the distance between the fastest layer (Layer 1) and the slowest layer (Layer 15) approaches zero or the layers intersect, the system identifies a "Non-Tradable Zone," preventing entries during choppy market conditions.
// Laminar Flow Validation
f_validate_trend() =>
// Calculate spread between Ribbon layers
ribbon_spread = ta.stdev(ribbon_array, 15)
// Only allow signals if Ribbon is expanded (Laminar Flow)
is_flowing = ribbon_spread > min_expansion_threshold
// If compressed (Knotted), force signal to false
is_flowing ? signal : na
Module C: Adaptive Signal Filtering (Behavioral Bias Mitigation)
This subsystem, operating as an algorithmic "Anti-Greed" Mechanism, addresses the statistical tendency for signal degradation following prolonged trends.
Dynamic Threshold Adjustment
• Win Streak Detection: The algorithm internally tracks the outcome of closed trade cycles.
• Sensitivity Multiplier: Upon detecting consecutive successful signals in the same direction, a Penalty_Factor is applied to the entry logic.
• Operational Impact: This effectively raises the Required_Slope threshold for subsequent signals. For example, after three consecutive bullish signals, the system requires a 30% steeper trend angle to validate a fourth entry. This enforces stricter discipline during extended trends to reduce the probability of entering at the point of trend exhaustion.
Anti-Greed Logic: Dynamic Threshold Calculation
f_adjust_threshold(base_slope, win_streak) =>
// Adds a 10% penalty to the difficulty for every consecutive win
penalty_factor = 0.10
risk_scaler = 1 + (win_streak * penalty_factor)
// Returns the new, harder-to-reach threshold
base_slope * risk_scaler
Module D: Trend Baseline (Triple-Smoothed Structure)
The Trend Baseline serves as the structural filter for all signals. It employs a Triple-Smoothed Hybrid Algorithm designed to balance lag reduction with noise filtration.
Smoothing Stages
1. Volatility Banding: Utilizes a SuperTrend-based calculation to establish the upper and lower boundaries of price action.
2. Weighted Filter: Applies a Weighted Moving Average (WMA) to prioritize recent price data.
3. Exponential Smoothing: A final Exponential Moving Average (EMA) pass is applied to create a seamless baseline curve.
Functionality
This "Heavy" baseline resists minor intraday volatility spikes while remaining responsive to sustained structural shifts. A signal is only considered valid if the price action maintains structural integrity relative to this baseline
🚦 Chapter 3: Risk Management & Exit Protocols
Quantitative Risk Management (TP/SL & Trailing)
Foundational Architecture: Volatility-Adjusted Geometry Unlike strategies relying on static nominal values, Impulse Reactor establishes dynamic risk boundaries derived from quantitative volatility metrics. This design aligns trade invalidation levels mathematically with the current market regime.
• ATR-Based Dynamic Bracketing:
The protocol calculates Stop-Loss and Take-Profit levels by applying Fibonacci coefficients (Default: 0.786 for SL / 1.618 for TP) to the Average True Range (ATR).
◦ High Volatility Environments: The risk bands automatically expand to accommodate wider variance, preventing premature exits caused by standard market noise.
◦ Low Volatility Environments: The bands contract to tighten risk parameters, thereby dynamically adjusting the Risk-to-Reward (R:R) geometry.
• Close-Validation Protocol ("Soft Stop"):
Institutional algorithms frequently execute liquidity sweeps—driving prices briefly below key support levels to accumulate inventory.
◦ Mechanism: When the "Soft Stop" feature is enabled, the system filters out intraday volatility spikes. The stop-loss is conditional; execution is triggered only if the candle closes beyond the invalidation threshold.
◦ Strategic Advantage: This logic distinguishes between momentary price wicks and genuine structural breakdowns, preserving positions during transient volatility.
• Step-Function Trailing Mechanism:
To protect unrealized PnL while allowing for normal price breathing, a two-phase trailing methodology is employed:
◦ Phase 1 (Activation): The trailing function remains dormant until the price advances by a pre-defined percentage threshold.
◦ Phase 2 (Dynamic Floor): Once armed, the stop level creates a moving floor, adjusting relative to price action while maintaining a volatility-based (ATR) buffer to systematically protect unrealized PnL.
• Algorithmic Exit Protocols (Dynamic Liquidity Analysis)
◦ Rationale: Inefficiencies of Static Targets Static "Take Profit" levels often result in suboptimal exits. They compel traders to close positions based on arbitrary figures rather than evolving market structure, potentially capping upside during significant trends or retaining positions while the underlying trend structure deteriorates.
◦ Solution: Structural Integrity Assessment The system utilizes a Dynamic Liquidity Engine to continuously audit the validity of the position. Instead of targeting a specific price point, the algorithm evaluates whether the trend remains statistically robust.
Multi-Factor Exit Logic (The Tri-Vector System)
The Smart Exit protocol executes only when specific algorithmic invalidation criteria are met:
• 1. Momentum Exhaustion (Confluence Decay): The system monitors a 168-hour rolling average of the Confluence Score. A significant deviation below this historical baseline indicates momentum exhaustion, signaling that the driving force behind the trend has dissipated prior to a price reversal. This enables preemptive exits before a potential drawdown.
• 2. Statistical Over-Extension (Mean Reversion): Utilizing the core volatility logic, the system identifies instances where price deviates beyond 2.0 standard deviations from the mean. While the trend may be technically bullish, this statistical anomaly suggests a high probability of mean reversion (elastic snap-back), triggering a defensive exit to capitalize on peak valuation.
• 3. Oscillator Rejection (Immediate Pivot): To manage sudden V-shaped volatility, the system monitors RSI pivots. If a sharp "Pivot High" or divergence is detected, the protocol triggers an immediate "Peak Exit," bypassing standard trend filters to secure liquidity during high-velocity reversals.
🎨 Chapter 4: Visualization Guide
Gradient Oscillator Ribbon
The 15-layer SMA ribbon visualized via plot(r1...r15) represents the "Momentum Density" of the market.
• Visuals:
◦ Cyan/Blue Ribbon: Indicates Bullish Momentum.
◦ Pink/Magenta Ribbon: Indicates Bearish Momentum.
• Interpretation:
◦ Laminar Flow: When the ribbon expands widely and flows in parallel, it signifies a robust trend where momentum is distributed evenly across timeframes. This is the ideal state for trend-following.
◦ Compression (Consolidation): If the ribbon becomes narrow, twisted, or knotted, it indicates a "Non-Tradable Zone" where the market lacks a unified direction. Traders are advised to wait for clarity.
◦ Over-Extension: If the top layer crosses the Overbought (85) or Oversold (15) lines, it visually warns of potential market overheating.
Trend Baseline
The thick, color-changing line plotted via plot(baseline) represents the Structural Backbone of the market.
• Visuals: Changes color based on the trend direction (Blue for Bullish, Pink for Bearish).
• Interpretation:
Structural Filter: Long positions are statistically favored only when price action sustains above this baseline, while short positions are favored below it.
Dynamic Support/Resistance: The baseline acts as a dynamic support level during uptrends and resistance during downtrends.
Entry Signals & Labels
Text labels ("Long Entry", "Short Entry") appear when the system detects high-probability setups grounded in quantitative confluence.
• Visuals: Labeled signals appear above/below specific candles.
• Interpretation:
These signals represent moments where Volatility (Expansion), Momentum (Alignment), and Structure (Trend) are synchronized.
Smart Exit: Labels such as "Smart Exit" or "Peak Exit" appear when the system detects momentum exhaustion or structural decay, prompting a defensive exit to preserve capital.
Dynamic TP/SL Boxes
The semi-transparent colored zones drawn via fill() represent the risk management geometry.
• Visuals: Colored boxes extending from the entry point to the Take Profit (TP) and Stop Loss (SL) levels.
• Function:
Volatility-Adjusted Geometry: Unlike static price targets, these boxes expand during high volatility (to prevent wicks from stopping you out) and contract during low volatility (to optimize Risk-to-Reward ratios).
SAR + MACD Glow
Small glowing shapes appearing above or below candles.
• Visuals: Triangle or circle glows near the price bars.
• Interpretation:
This visual indicates a secondary confirmation where Parabolic SAR and MACD align with the main trend direction. It serves as an additional confluence factor to increase confidence in the trade setup.
Support/Resistance Table
A small table located at the bottom-right of the chart.
• Function: Automatically identifies and displays recent Pivot Highs (Resistance) and Pivot Lows (Support).
• Interpretation: These levels can be used as potential targets for Take Profit or invalidation points for manual Stop Loss adjustments.
🖥️ Chapter 5: Dashboard & Operational Guide
Integrated Analytics Panel (Dashboard Overview)
To facilitate rapid decision-making without manual calculation, the system aggregates critical market dimensions into a unified "Heads-Up Display" (HUD). This panel monitors real-time metrics across multiple timeframes and analytical vectors.
A. Intermediate Structure (12H Trend)
• Function: Anchors the intraday analysis to the broader market structure using a 12-hour rolling window.
• Interpretation:
◦ Bullish (> +0.5%): Indicates a positive structural bias. Long setups align with the macro flow.
◦ Bearish (< -0.5%): Indicates structural weakness. Short setups are statistically favored.
◦ Neutral: Represents a ranging environment where the Confluence Score becomes the primary weighting factor.
B. Composite Confluence Score (Signal Confidence)
• Definition: A probability metric derived from the synchronization of Volatility (Impulse Core), Momentum (Ribbon), and Trend (Baseline).
• Grading Scale:
Strong Buy/Sell (> 7.0 / < 3.0): Indicates full alignment across all three vectors. Represents a "Prime Setup" eligible for standard position sizing.
Buy/Sell (5.0–7.0 / 3.0–5.0): Indicates a valid trend but with moderate volatility confirmation.
Neutral: Signals conflicting data (e.g., Bullish Momentum vs. Bearish Structure). Trading is not recommended ("No-Trade Zone").
C. Statistical Deviation Status (Mean Reversion)
• Logic: Utilizes Bollinger Band deviation principles to quantify how far price has stretched from the statistical mean (20 SMA).
• Alert States:
Over-Extended (> 2.0 SD): Warning that price is statistically likely to revert to the mean (Elastic Snap-back), even if the trend remains technically valid. New entries are discouraged in this zone.
Normal: Price is within standard distribution limits, suitable for trend-following entries.
D. Volatility Regime Classification
• Metric: Compares current ATR against a 100-period historical baseline to categorize the market state.
• Regimes:
Low Volatility (Lvl < 1.0): Market Compression. Often precedes volatility expansion events.
Mid Volatility (Lvl 1.0 - 1.5): Standard operating environment.
High Volatility (Lvl > 1.5): Elevated market stress. Risk parameters should be adjusted (e.g., reduced position size) to account for increased variance.
E. Performance Telemetry
• Function: Displays the historical reliability of the Trend Baseline for the current asset and timeframe.
• Operational Threshold: If the displayed Win Rate falls below 40%, it suggests the current market behavior is incoherent (choppy) and does not respect trend logic. In such cases, switching assets or timeframes is recommended.
Operational Protocols & Signal Decoding
Visual Interpretation Standards
• Laminar Flow (Trade Confirmation): A valid trend is visually confirmed when the 15-layer SMA Ribbon is fully expanded and parallel. This indicates distributed momentum across timeframes.
• Consolidation (No-Trade): If the ribbon appears twisted, knotted, or compressed, the market lacks a unified directional vector.
• Baseline Interaction: The Triple-Smoothed Baseline acts as a dynamic support/resistance filter. Long positions remain valid only while price sustains above this structure.
System Calibration (Settings)
• Adaptive Signal Filtering (Prev. Anti-Greed): Enabled by default. This logic automatically raises the required trend slope threshold following consecutive wins to mitigate behavioral bias.
• Impulse Sensitivity: Controls the reactivity of the Volatility Core. Higher settings capture faster moves but may introduce more noise.
⚙️ Chapter 6: System Configuration & Alert Guide
This section provides a complete breakdown of every adjustable setting within Impulse Reactor to assist you in tailoring the engine to your specific needs.
🌐 LANGUAGE SETTINGS (Localization)
◦ Select Language (Default: English):
Function: Instantly translates all chart labels, dashboard texts into your preferred language.
Supported: English, Korean, Chinese, Spanish
⚡ IMPULSE CORE SETTINGS (Volatility Engine)
◦ Deviation Lookback (Default: 30): The period used to calculate the standard deviation of volatility.
Role: Sets the baseline for normalizing momentum. Higher values make the core smoother but slower to react.
◦ Fast Pulse Length (Default: 10): The short-term ATR period.
Role: Detects rapid volatility expansion.
◦ Slow Pulse Length (Default: 30): The long-term ATR baseline.
Role: Establishes the background volatility level. The core signal is derived from the divergence between Fast and Slow pulses.
🎯 TP/SL SETTINGS (Risk Management)
◦ SL/TP Fibonacci (Default: 0.786 / 1.618): Selects the Fibonacci ratio used for risk calculation.
◦ SL/TP Multiplier (Default: 1.5 / 2): Applies a multiplier to the ATR-based bands.
Role: Expands or contracts the Take Profit and Stop Loss boxes. Increase these values for higher volatility assets (like Altcoins) to avoid premature stop-outs.
◦ ATR Length (Default: 14): The lookback period for calculating the Average True Range used in risk geometry.
◦ Use Soft Stop (Close Basis):
Role: If enabled, Stop Loss alerts only trigger if a candle closes beyond the invalidation level. This prevents being stopped out by wick manipulations.
🔊 RIBBON SETTINGS (Momentum Visualization)
◦ Show SMA Ribbon: Toggles the visibility of the 15-layer gradient ribbon.
◦ Ribbon Line Count (Default: 15): The number of SMA lines in the ribbon array.
◦ Ribbon Start Length (Default: 2) & Step (Default: 1): Defines the spread of the ribbon.
Role: Controls the "thickness" of the momentum density visualization. A wider step creates a broader ribbon, useful for higher timeframes.
📎 DISPLAY OPTIONS
◦ Show Entry Lines / TP/SL Box / Position Labels / S/R Levels / Dashboard: Toggles individual visual elements on the chart to reduce clutter.
◦ Show SAR+MACD Glow: Enables the secondary confirmation shapes (triangles/circles) above/below candles.
📈 TREND BASELINE (Structural Filter)
◦ Supertrend Factor (Default: 12) & ATR Period (Default: 90): Controls the sensitivity of the underlying Supertrend algorithm used for the baseline calculation.
◦ WMA Length (40) & EMA Length (14): The smoothing periods for the Triple-Smoothed Baseline.
◦ Min Trend Duration (Default: 10): The minimum number of bars the trend must be established before a signal is considered valid.
🧠 SMART EXIT (Dynamic Liquidity)
◦ Use Smart Exit: Enables the momentum exhaustion logic.
◦ Exit Threshold Score (Default: 3): The sensitivity level for triggering a Smart Exit. Lower values trigger earlier exits.
◦ Average Period (168) & Min Hold Bars (5): Defines the rolling window for momentum decay analysis and the minimum duration a trade must be held before Smart Exit logic activates.
🛡️ TRAILING STOP (Step)
◦ Use Trailing Stop: Activates the step-function trailing mechanism.
◦ Step 1 Activation % (0.5) & Offset % (0.5): The price must move 0.5% in your favor to arm the first trail level, which sets a stop 0.5% behind price.
◦ Step 2 Activation % (1) & Offset % (0.2): Once price moves 1%, the trail tightens to 0.2%, securing the position.
🌀 SAR & MACD SETTINGS (Secondary Confirmation)
◦ SAR Start/Increment/Max: Standard Parabolic SAR parameters.
◦ SAR Score Scaling (ATR): Adjusts how much weight the SAR signal has in the overall confluence score.
◦ MACD Fast/Slow/Signal: Standard MACD parameters used for the "Glow" signals.
🔄 ANTI-GREED LOGIC (Behavioral Bias)
◦ Strict Entry after Win: Enables the negative feedback loop.
◦ Strict Multiplier (Default: 1.1): Increases the entry difficulty by 10% after each win.
Role: Prevents overtrading and entering at the top of an extended trend.
🌍 HTF FILTER (Multi-Timeframe)
◦ Use Auto-Adaptive HTF Filter: Automatically selects a higher timeframe (e.g., 1H -> 4H) to filter signals.
◦ Bypass HTF on Steep Trigger: Allows an entry even against the HTF trend if the local momentum slope is exceptionally steep (catch powerful reversals).
📉 RSI PEAK & CHOPPINESS
◦ RSI Peak Exit (Instant): Triggers an immediate exit if a sharp RSI pivot (V-shape) is detected.
◦ Choppiness Filter: Suppresses signals if the Choppiness Index is above the threshold (Default: 60), indicating a flat market.
📐 SLOPE TRIGGER LOGIC
◦ Force Entry on Steep Slope: Overrides other filters if the price angle is extremely vertical (high velocity).
◦ Slope Sensitivity (1.5): The angle required to trigger this override.
⛔ FLAT MARKET FILTER (ADX & ATR)
◦ Use ADX Filter: Blocks signals if ADX is below the threshold (Default: 20), indicating no trend.
◦ Use ATR Flat Filter: Blocks signals if volatility drops below a critical level (dead market).
🔔 Alert Configuration Guide
Impulse Reactor is designed with a comprehensive suite of alert conditions, allowing you to automate your trading or receive real-time notifications for specific market events.
How to Set Up:
Click the "Alert" (Clock) icon in the TradingView toolbar.
Select "Impulse Reactor " from the Condition dropdown.
Choose one of the specific trigger conditions below:
🚀 Entry Signals (Trend Initiation)
Long Entry:
Trigger: Fires when a confirmed Bullish Setup is detected (Momentum + Volatility + Structure align).
Usage: Use this to enter new Long positions.
Short Entry:
Trigger: Fires when a confirmed Bearish Setup is detected.
Usage: Use this to enter new Short positions.
🎯 Profit Taking (Target Levels)
Long TP:
Trigger: Fires when price hits the calculated Take Profit level for a Long trade.
Usage: Automate partial or full profit taking.
Short TP:
Trigger: Fires when price hits the calculated Take Profit level for a Short trade.
Usage: Automate partial or full profit taking.
🛡️ Defensive Exits (Risk Management)
Smart Exit:
Trigger: Fires when the system detects momentum decay or statistical exhaustion (even if the trend hasn't fully reversed).
Usage: Recommended for tightening stops or closing positions early to preserve gains.
Overbought / Oversold:
Trigger: Fires when the ribbon extends into extreme zones.
Usage: Warning signal to prepare for a potential reversal or pullback.
💡 Secondary Confirmation (Confluence)
SAR+MACD Bullish:
Trigger: Fires when Parabolic SAR and MACD align bullishly with the main trend.
Usage: Ideal for Pyramiding (adding to an existing winning position).
SAR+MACD Bearish:
Trigger: Fires when Parabolic SAR and MACD align bearishly.
Usage: Ideal for adding to short positions.
⚠️ Chapter 7: Conclusion & Risk Disclosure
Methodological Synthesis
Impulse Reactor represents a shift from reactive price tracking to proactive energy analysis. By decomposing market activity into its atomic components — Volatility, Momentum, and Structure — and reconstructing them into a coherent decision model, the system aims to provide a quantitative framework for market engagement. It is designed not to predict the future, but to identify high-probability conditions where kinetic energy and trend structure align.
Disclaimer & Risk Warnings
◦ Educational Purpose Only
This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments.
◦ No Guarantee of Performance
Past performance is not indicative of future results. All metrics displayed on the dashboard (including "Win Rate" and "P&L") are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions.
◦ High-Risk Warning
Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades.
◦ Software Limitations
The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
IMPORTANT Levels by SBImportant levels by SB based on gann levels.One can plot these levels once on the chart and can work on these levels .When ever market market come at any of these levels .User can wait for the price action and accordingly user can get inside the trade
RVOL + Volume Z-Score (Textbook)This indicator is a relative-volume and “volume anomaly” dashboard designed to help you quickly spot when a ticker is actually in-play versus simply drifting on normal activity. It plots standard volume bars (colored by up/down candles) and overlays multiple optional smoothers of volume (SMA, LSMA/linear-regression MA, HMA, ALMA) so you can see whether participation is expanding or fading across different smoothing styles. It also calculates RVOL (current bar volume divided by the average volume over a user-defined lookback) and displays RVOL (and Z) in a small table for quick reference.
The core feature is a textbook volume z-score: Z=(V−SMA(V,N))/StDev(V,N)
This measures how far the current bar’s volume is from its recent average in standard-deviation units, making it easy to filter for genuinely unusual volume. The script plots mean + 1σ and mean + 2σ threshold bands and can highlight “anomaly” volume bars when Z exceeds your chosen σ thresholds (default 1σ for broader detection, with alerts available for 1σ/2σ). Use it as a participation filter: combine high RVOL / high Z with your price structure (key levels, VWAP, trend) to validate breakouts or identify high-conviction reversal/flush events.
Volume Profile on Grid with Zscore ColoringThis indicator takes (DeadCatCode) volume profile and starts a new profile when price reaches a new Grid Interval, chosen in the settings.
The candles are also colored by Z score (colors pulled from ChartPrime) based on the 5 deviations from the Daily TWAP, which is anchored from previous days settlement time, 14:59:30CT. The max number of deviations can be changed in the settings to change the sensitivity of the z score coloring.
BLACK SWAN SWEEP (DANIELPEREZ)Crt de velas especificas después del sweep buscar la confirmación del order block para tomar una operacio .
Check specific candlesticks after the sweep to find order block confirmation before taking a trade.
Indian Scalper 2025 – PSAR + SMA50 + RSI≤50 + High Volume (75%)Best 1-min / 2-min scalping strategy for NIFTY, BANKNIFTY, FINNIFTY & liquid stocks in 2025
✓ PSAR flip + SMA-50 trend filter
✓ RSI ≤50 (avoids chasing)
✓ Only high-volume candles (bright colour)
✓ Loud mobile alerts with price & SL
✓ 1:2+ RR with PSAR trailing
Works like magic 9:15–11:30 AM and 2–3:20 PM
Made with love for the Indian trading community ♥
Greater Moving AverageThe purpose for this indicator is to function as a comprehensive market-state detector, with the primary goal of avoiding a market crash.
Mendoza Lines (V-pattern detection) identify early crash conditions and warn when market structure becomes unstable.
RSI/volume-shaded candles + Supertrend confirm momentum and trend, creating a unified system to avoid major drawdowns.
Enhanced Wyckoff ranges with ATR.
Mendoza lines identify abrupt V-shaped reversals which often precede high-risk crash structures. By tracking both the formation and resolution of these patterns across multiple timeframes, the indicator provides early warning signals when the market is entering unstable territory, allowing traders to step aside before liquidity collapses or structural breakdowns begin.
Ideal configurations use Heikin Ashi to smooth out candle structure. Observe SPX on a Weekly Chart, which correctly identifies exits and entries during the 2001 and 2009 crashes. On a 6 hour chart, the Tariff low is correctly identified. The improved VWAP uses a cumulative metric rather than the built in ta.vwap calculation, and functions as a macro low beacon when crossed with the 200 EMA. Historically, these crosses have aligned closely with macro cycle lows.
To round out the system, the indicator overlays RSI-based and volume-weighted candle shading to reflect internal momentum and real buying/selling pressure directly on the chart, making shifts in strength immediately visible. A Supertrend confirmation layer acts as the final filter, smoothing noise and verifying trend direction before decisions are made.
MeanReversion_tradeALERTOverview The Apex Reversal Predictor v2.5 is a specialized mean reversion strategy designed for scalping high-volatility assets like NQ (Nasdaq), ES (S&P 500), and Crypto. While most indicators chase breakouts, this system hunts for "Liquidity Sweeps"—moments where the market briefly breaks a key level to trap retail traders before snapping back to the true value (VWAP).
This is not just a signal indicator; it is a full Trade Manager that calculates your Entry, Stop Loss, and Take Profit levels automatically based on volatility (ATR).
The Logic: Why This Works Markets act like a rubber band. They can only stretch so far from their average price before snapping back. This script combines three layers of logic to identify these snap-back points:
The Stretch (Sigma Score): Measures how far price is from the VWAP relative to ATR. If the score > 2.0, the "rubber band" is overextended.
The Trap (Liquidity Sweep): Identifies Pivot Highs/Lows. It waits for price to break a pivot (luring in breakout traders) and then immediately reverse (trapping them).
The Exhaustion (RSI): Confirms that momentum is Overbought/Oversold to prevent trading against a strong trend.
Key Features
Dynamic Lines: Automatically draws Blue (Entry), Red (SL), and Green (TP) lines on the chart for active trades.
Smart Targets: Two modes for taking profit:
Mean Reversion: Targets the VWAP line (High Win Rate).
Fixed Ratio: Targets a specific Risk:Reward (e.g., 1:2).
Live Dashboard: Tracks Win Rate, Net Points, and the live "Stretch Score" in the bottom right corner.
Alert Ready: Formatted JSON alerts for easy integration with Discord or trading bots.
How & When to Use (User Guide)
1. Best Timeframes
5-Minute (5m): Best for NQ and volatile stocks (TSLA, NVDA). Filters out 1-minute noise but catches the intraday reversals.
15-Minute (15m): Best for Forex or slower-moving indices (ES).
2. The Setup Checklist Before taking a trade, look at the Dashboard in the bottom right:
Step 1: Check the "Stretch (Sigma)". Is it Orange or Red? This means price is extended and ripe for a reversal. If it's Green, the market is calm—be careful.
Step 2: Wait for the Signal.
"Apex BUY" (Green Label): Price swept a low and closed green.
"Apex SELL" (Red Label): Price swept a high and closed red.
Step 3: Execute. Enter at the close of the signal candle. Set your stop loss at the Red Line provided by the script.
3. Warning / When NOT to Use
Strong Trending Days: If the market is trending heavily (e.g., creating higher highs all day without looking back), do not fight the trend.
News Events: Avoid using this during CPI, FOMC, or NFP releases. The "rubber band" logic breaks during news because volatility expands indefinitely.
VIX/VXV Ratio (TitsNany)This script plots the VXV/VIX ratio, which compares medium-term volatility (90-day fear) to short-term volatility (30-day fear). When the ratio rises above key levels like 1.16 or 1.24, it signals that traders expect future stress, often preceding market pullbacks. When the ratio falls toward or below 1.0, short-term fear is spiking, which typically occurs during active selloffs or volatility events. In short, elevated readings warn of potential market drops ahead, while sharp declines in the ratio reflect panic already hitting the market.
CRR - GANAEMAs on the chart (visual trend)
EMA 15 (white), 30 (yellow), 200 (red).
2️⃣ DASH Engine 1m–5m–15m (+ 1H and 1D)
For each TF (1m, 5m, 15m) it calculates a bull/bear score using:
EMA structure (15, 30, 50, 100, 200).
MACD.
RSI.
Relationship with EMA 30 and VWAP.
FVG in favor.
ATR change (volatility **increasing**).
From this it derives:
t1 (1m), t2 (5m), t3 (15m),
t4 (1H) and t5 (1D) (only for EMA200).
It detects:
ALL BULL → “BULLISH - BUYS ONLY”.
ALL BEAR → “BEARISH - SELLS ONLY”.
Otherwise → “NEUTRAL / MIXED”.
In addition:
Calculates BULL TF vs BEAR TF (%) between 1m–5m–15m.
Displays a visual bar 🐂🟩 vs 🐻🟥.
3️⃣ GOLD News (manual)
Special bar that says:
Neutral
BUY (positive)
SELL (negative)
Paints the HUD with color according to the news you select.
4️⃣ NO RETRACEMENT Alerts (beast mode 💣)
Very strict conditions using the 5 TFs:
BUY NO RETRACEMENT if:
4 or more TFs in bull mode (bullTF_all >= 4),
1m ultra bull (EMA bull, RSI>60, MACD bull, high volume, price above EMA15 and VWAP, FVG ≥ 0).
SELL NO RETRACEMENT is the same but bearish.
Creates alerts:
CRR BUY NO RETRACEMENT
CRR SELL NO RETRACEMENT
5️⃣ PRO LITE Patterns: Double Top / Double Bottom
Detects double tops and double bottoms with:
Minimum bar distance.
Tolerance in %. Optional filters:
MACD, RSI, ATR (volatility), volume, FVG.
If everything aligns:
Plots SELL at double top.
Plots BUY at double bottom.
6️⃣ TOP Indicators Block (SMI + WaveTrend + Supertrend)
SMI (momentum), WaveTrend, and Supertrend:
Counts which are in bull mode and which are in bear mode.
Displays:
TOP IND: BULLS XX% | BEARS YY%.
7️⃣ Integrated Internal SMC Module
Structure HH, LH, HL, LL.
BMS (break of structure) and ChoCH (change of character).
Filter with ATR + volume + MACD + gaps.
Internal Fibonacci of the last range (38.2, 50, 61.8).
Dotted yellow lines of the current range (swing high/low).
🧠 In short:
It's your command center for XAUUSD:
Global mode (buy only / sell only / mixed),
% of timeframes favoring bulls/bears,
gold news,
no-lag alerts,
filtered double top/bottom,
TOP indicators,
and complete SMC (structure + BMS/ChoCH + Fibonacci + range)...
all integrated into a single CRAZY RAY RAY HUD
ICT Quant-Core: Liquidity Intelligence [Dual-Engine]🔥 THE ULTIMATE LIQUIDITY FILTERING ENGINE
Most SMC traders lose money because they "catch falling knives" on every local wick. This algorithm solves this problem by using DUAL-CORE logic and a signal quality scoring system.
This is no ordinary pivot indicator.
⚙️ HOW DOES IT WORK? (DUAL-CORE LOGIC)
The algorithm analyzes the market on two levels simultaneously:
1️⃣ MACRO CORE (Lookback 50 - "WHALE 🐋")
Tracks key levels from recent weeks/months.
This is where institutions build their positions.
Signals from this core have the highest priority (Score 10/10).
2️⃣ LOCAL CORE (Lookback 20 - "ROACH 🐟")
Tracks internal market structure and noise.
Signals are filtered by the Main Trend. If the trend is down, Local Longs are marked as "TRAP."
🧠 SMART FILTERS (QUANT LAYERS)
Instead of entering on every line touch, the script requires confirmation:
✅ RECLAIM LOGIC: Price must close back above/below the liquidity level (Swing Failure Pattern).
✅ RVOL FILTER: Requires relative volume > 1.2x the average (institutional track).
✅ SCORING SYSTEM (0-10): Each signal receives a score.
- 10/10: Macro Grab in line with the trend + high volume.
- 3/10: Local Grab against the trend (risky).
📊 ANALYTICAL DASHBOARD
In the lower right corner, you'll find the "Command Center":
- Trend Status (Distribution/Accumulation)
- Whale's Last Move (Price and Direction)
- Current Tactics (e.g., "Ignore Longs, Search for Shorts")
- Filter Status (RSI, Volume, Reclaim)
🚀 HOW TO USE IT?
1. Set the H4 timeframe.
2. Wait for a signal with a rating > 7/10.
3. Ignore "Fish/Local" signals (small icons) if they contradict the Dashboard color.
4. Entry occurs only after the candle closes (Reclaim).
AlphaNatt | FINAL REVELATION [Visual God]AlphaNatt | The Final Revelation
"Where Information Theory meets Market Geometery."
The AlphaNatt is a comprehensive market structure and volumetric analysis suite designed for the institutional-grade trader. It merges advanced quantitative concepts—specifically Shannon Entropy and Neural Pattern Filtering—with a "Holographic" visual interface that prioritizes clarity over clutter.
This is not just an indicator; it is a complete decision-support system that answers three critical questions:
Is the market chaotic or ordered? (Entropy Engine)
Where is the liquidity? (Volumetric Heatmap)
What is the true structure? (Fractal Geometry)
🌌 The Gen 100 Math Engine
At the core of this script lies a unique implementation of Information Theory.
1. Shannon Entropy (The Chaos Filter)
Most indicators fail because they try to predict "Noise". This script calculates the Entropy (in Bits) of the recent price action.
High Entropy: The market is in a "Random Walk" state. Visuals fade out, transparency increases, and signals are suppressed.
Low Entropy: The market is "Ordered" and approaching a singularity/decision point. Visuals glow brightly to indicate a high-probability environment.
2. Neural Pattern Recognition
The diamond signals (Cyan/Magenta) are not simple simple crossovers. They are driven by a composite logic simulating a neural filter:
Inputs: Normalised RSI + Momentum Divergence + Volatility State.
Logic: Signals only trigger when the market is statistically overextended AND showing signs of momentum decay.
💎 Holographic Features
🔥 Volumetric Heatmap
The script scans historical price action to build a Volume Profile Heatmap on the right side of the chart.
Purple/Blue Zones: These represent High Volume Nodes (HVNs). These act as "Gravity Wells" for price—often stopping trends or acting as launchpads for reversals.
POC (Point of Control): The bright green line indicates the price level with the absolute highest volume in the lookback period.
🌀 Fractal Structure Lines
Price action is often noisy. The script uses a Fractal Pivot Algorithm (Length 5) to identify the "True Highs" and "True Lows".
It connects these points with dashed "Neural Lines" to show the naked market skeleton.
This instantly reveals if you are in a trend of Higher Highs or a breakdown of Lower Lows.
🖥️ The Heads-Up Display (HUD)
A minimalist dashboard keeps you informed of the math underneath:
ENTROPY: The raw bit-score of market chaos.
REGIME: Tells you instantly if you are in "ORDER" (Tradeable) or "CHAOS" (Sit out).
STRUCT: Real-time status of the fractal structure (Breakout/Breakdown/Ranging).
⚙️ Settings & Configuration
Theme: Choose between "Cyber" (Neon), "Aeon" (Deep Blue), or "Gold" (Luxury).
Max Entropy: Adjust the sensitivity of the Chaos Filter. Lower values = stricter filtering (fewer trades).
Heatmap Depth: Control how far back the volume profile scans.
⚠️ Disclaimer
This tool is designed for educational market analysis. "Entropy" and "Neural" refer to the mathematical algorithms used to process price data and do not guarantee future performance. Always manage risk responsible.
HMA 34 Dual-Fractal Projections - VdubusVdubus MacD Divergence Trend Break Signal Generator :Here:-
HMA 18 Dual-Fractal Projections
Overview
The HMA 18 Dual-Fractal Projections is a technical analysis tool designed to identify market structure and potential breakout patterns by analyzing the pivots of a Hull Moving Average (HMA).
Unlike standard trendline indicators that struggle to balance "big picture" trends with immediate price action, this indicator utilizes a Dual-Fractal approach. It simultaneously calculates two separate timelines—Macro and Micro—to visualize both the dominant channel and the developing chart patterns (such as wedges or triangles) in real-time.
Visual Guide
The indicator plots three key elements on the main chart:
The HMA Line (Blue): A smooth, fast-acting moving average (default length 34) that serves as the baseline for all calculations.
Macro Structure (Solid, Thick Lines):
Red (Solid): Major Resistance.
Green (Solid): Major Support.
Purpose: Identifies the long-term trend channel. These lines react slowly and filter out noise.
Micro Structure (Dashed, Thin Lines):
Red (Dashed): Immediate Resistance.
Green (Dashed): Immediate Support.
Purpose: Identifies the short-term market structure. These lines react quickly to show forming wedges, triangles, or flags.
How It Works
The indicator applies a "Pivot High/Low" algorithm directly to the HMA data rather than raw price data. This filters out candle wicks and volatility, ensuring lines are drawn based on established momentum shifts.
Layer 1 (Macro): Uses a large "Lookback" period (default 44 bars) to find significant peaks and valleys. It connects the most recent major pivot to the previous one, projecting a line forward to show where the major trend channel lies.
Layer 2 (Micro): Uses a small "Lookback" period (default 10 bars) to find local peaks and valleys. This allows you to see how price is behaving within the larger channel.
Settings & Configuration
HMA Settings
HMA Length: The length of the Hull Moving Average.
Default: 34 (Matches the "visually pleasing" setting from recent testing).
Note: Set to 18 for a faster, more reactive baseline (scalping).
Layer 1: Macro (Big Channel)
Macro Lookback: Determines how many bars must pass before a peak is confirmed.
Default: 44. High values find broad, established channels.
Max Macro Lines: How many historical lines to keep on the chart.
Default: 1 (Keeps the chart clean, showing only the current structure).
Extend Macro Lines: Projects the lines infinitely to the right to predict future support/resistance zones.
Layer 2: Micro (Current Pattern)
Micro Lookback: A lower sensitivity setting to catch immediate structure.
Default: 10. Low values will pinpoint the exact boundaries of small wedges or flags forming right now.
Trading Strategy & Interpretation
1. The "Squeeze" (Wedge Identification) This is the primary use case.
Look for scenarios where the Macro Lines (Solid) are wide/parallel, but the Micro Lines (Dashed) are rapidly converging (pointing towards each other).
This indicates that while the main trend is intact, momentum is compressing. A breakout is imminent where the dashed lines intersect.
2. Trend Channels
When both Solid and Dashed lines are roughly parallel and sloping in the same direction, the trend is healthy and strong. Price is respecting both the short-term and long-term momentum.
3. Divergence / Early Reversal Warning
If the Macro Line is sloping UP, but the Micro Line starts sloping DOWN (crossing inside), it indicates a loss of momentum and a potential reversal before the price actually breaks the major trendline.
===========================================================================
2. Micro/Macro Cross Alert
A new input, Enable Micro/Macro Cross Alert, has been added under the "Alerts & Features" section.
This alert condition is triggered when the momentum of the Micro Structure exceeds the momentum of the Macro Structure, which is a high-probability signal for a breakout:
Bullish Alert: The Micro High (dashed red line) crosses above the Macro High (solid red line).
Bearish Alert: The Micro Low (dashed green line) crosses below the Macro Low (solid green line).
To set up the actual alert on your chart:
Right-click on the chart.
Select "Add alert on HMA 34 Dual-Fractal Projections".
In the Condition dropdown, select the indicator's name.
For the main alert criteria, choose "Any alert()".
Select your preferred alert actions (e.g., notification, email).
5% Move Counter (Up vs Down)5% Move Counter (Up vs Down)
This indicator tracks how many times a stock has made a 5% or larger move in a single session, and shows the count separately for up days and down days. It’s meant for traders who want quick context on whether a stock has a history of making large moves, instead of manually scrolling through years of price action.
Most tools only tell you what’s happening right now. This one helps you understand what the stock is capable of.
What it shows
Number of 5%+ up days
Number of 5%+ down days
Optional display modes:
All
Up Only
Down Only
Why it’s useful
Different stocks behave differently. Some give clean, powerful bursts when they break out, while others rarely move big even when the setup looks perfect. This tool helps you gauge a stock’s historical “explosiveness” so you can decide whether your strategy fits its behavior.
If your setups depend on volatility or momentum, it helps to know whether the stock has produced big moves before. This gives you that information instantly.
Customization
You can place the stats box anywhere on the chart using a simple 1–9 selector.
You can hide the rows you don’t need through a dropdown.
When a row is hidden, its background becomes fully transparent so the chart stays clean.
Who it’s for
Short-term traders, breakout traders, swing traders, and anyone who wants a quick read on whether a stock moves enough to justify certain types of trades.
Support & Resistance Auto-Detector by Rakesh Sharma📊 SUPPORT & RESISTANCE AUTO-DETECTOR
Automatically identifies and displays key price levels where traders make decisions. No more manual drawing - let the algorithm do the work!
✨ KEY FEATURES:
- Auto-detects Swing High/Low levels with strength rating
- Previous Day High/Low (PDH/PDL) - Most important intraday levels
- Previous Week High/Low (PWH/PWL) - Strong swing levels
- Previous Month High/Low (PMH/PML) - Major turning points
- Round Number levels (Psychological barriers)
- S/R Zones (Better than exact lines)
- Breakout/Breakdown alerts
- Live Dashboard with trade bias
🎯 PERFECT FOR:
Nifty, Bank Nifty, Stocks, Forex, Crypto - All markets, all timeframes
⚡ SMART FEATURES:
- Strength Rating: Very Strong/Strong/Medium/Weak
- Distance Calculator: Shows points to next S/R
- Trade Bias: "Buy Dips" / "Sell Rallies" / "Breakout"
- Break Alerts: Get notified on PDH/PDL breaks
- Clean Chart: Shows only most important levels
💡 TRADING EDGE:
Trade bounces at support, rejections at resistance, or breakouts through key levels. Combines perfectly with price action and other indicators.
Created by: Rakesh Sharma
The Rumer's Box Theory“The Rumer's Box Theory” is a visual trading indicator designed to help traders quickly identify the previous daily candle’s high and low ranges across all timeframes. The indicator draws a purple box spanning the previous day’s high to low, with a blue horizontal line at the 50% midpoint for easy reference.
NoProcess PivotsNoProcess Pivots
Visualize the structural framework of price action with NoProcess Pivots, a precision tool for multi-timeframe confluence trading.
Pivots are mathematically derived levels where price statistically finds support, resistance, or equilibrium. Institutional order flow respects these levels as key decision points where liquidity pools form and inefficiencies seek rebalancing.
NoProcess Pivots displays historical pivot ranges as period-bounded zones across Daily, Weekly, and Quarterly timeframes—allowing you to observe how price has respected or violated these levels over time. By projecting ±33% extensions beyond R1/S1, traders can identify targets, retracement levels, and key reversal points.
Cross-reference pivots across multiple timeframes to find confluence zones where Daily, Weekly, and Quarterly levels stack. These high-conviction areas offer the clearest setups for entries and exits.
Features:
Multi-timeframe pivots: Daily, Weekly, Quarterly
Historical levels with adjustable depth
Period-bounded zones
±33% extensions
Adaptive light/dark mode table
Real-time Δ PP percentage
Pivot cross alerts
Built for traders who respect the math behind the markets.
CODY BOT – Breakout SignalsCODY BOT is a minimalist, high-probability breakout indicator designed to keep your chart clean while highlighting actionable trading opportunities.
Unlike traditional indicators that generate too many signals, CODY BOT only alerts you to strong directional moves following consolidation, helping you focus on high-quality entries.
Key Features:
Detects breakouts above recent highs and below recent lows.
Filters weak moves using minimum candle body size.
Includes a cooldown period to prevent signal spam.
Clean and intuitive visual signals with large arrows for easy interpretation.
Optional customization for consolidation lookback bars, minimum candle size, and arrow visibility.
Alerts built-in for server-side and mobile notifications.
How to Use:
Look for BUY arrows when price breaks above consolidation highs.
Look for SELL arrows when price breaks below consolidation lows.
Combine with your preferred risk management and trend confirmation strategies.
3-Bar Inversion Pattern (Entry & Invalidation Levels)Very simple 3-bar inversion pattern looking for a bar that extends in the previous bar's direction, bar 2 having a body no bigger than 50% of bar 1's. and Bar 3 having a body close beyond the open of bar 1. Invalidation is set to the highest point of the 3 par pattern.
Top 20 Adaptive Momentum [Trend Aligned]his script is an automated End-of-Day Momentum Dashboard designed to predict the next trading day's directional bias for the top 20 most volatile stocks. It analyzes institutional price action during the final 10 minutes of the trading session and filters signals based on the long-term trend.
How It Works
Trend Identification: The script calculates a 50-Day Moving Average proxy (using 5-minute data) to determine if a stock is in a Long-Term Uptrend or Downtrend.
Adaptive Signal Logic: Instead of a simple reversal strategy, the script adapts its prediction based on the trend context:
Trend Following: If a stock closes strong (Green) in an Uptrend, it signals Bullish Momentum (continuation).
Mean Reversion: If a stock closes strong (Green) in a Downtrend, it signals Bearish Reversion (fade the bounce).
Dip Buying: If a stock closes weak (Red) in an Uptrend, it signals Bullish Reversion (buy the dip).
Live Backtesting: The dashboard features a "Win Rate (3M)" column. This metric backtests the strategy over the past 3 months for each specific ticker, calculating the percentage of time the predicted bias resulted in a winning trade the following day.
Dashboard Columns
Ticker: The stock symbol.
Prev Day: The overall close vs. open of the previous session.
Trend (50d): The long-term trend direction (UP or DOWN).
BIAS TODAY: The actionable signal for the current session (📈 BULLISH or 📉 BEARISH).
Win Rate: The historical probability of success for this strategy on this specific stock.
Usage: Use this tool pre-market to identify high-probability setups where the previous day's closing momentum aligns with the long-term trend.
To effectively use the Top 20 Adaptive Momentum script, you need to treat it as a Pre-Market Screener. It performs the heavy lifting of analyzing trend, momentum, and historical probability instantly, giving you a "Cheat Sheet" for the trading day.
Here is a step-by-step guide on how to integrate it into your routine:
1. The Setup
Timeframe: Set your chart to 5 Minutes. The logic specifically hunts for the 15:50 (3:50 PM) and 15:55 (3:55 PM) candles, so the calculation works best on this timeframe.
Timing: Check this dashboard before the market opens (e.g., 9:00 AM EST) or shortly after the close (4:05 PM EST) to plan for the next session.
2. Reading the Dashboard Columns
Column What to Look For Actionable Insight
Trend (50d) UP (Green) or DOWN (Red) This tells you the "Big Picture." Only trade in this direction. If Trend is UP, you only want to see Bullish signals. If Trend is DOWN, you only want Bearish signals.
BIAS TODAY 📈 BULLISH Plan: Look for Long/Buy setups at the open. The algorithm predicts price will close higher today.
📉 BEARISH Plan: Look for Short/Sell setups at the open. The algorithm predicts price will close lower.
Win Rate (3M) Percentage (e.g., 65%) Confidence Filter. Only take trades on stocks with a Win Rate above 55-60%. This proves the stock historically respects this specific strategy.
3. The Strategy Scenarios (How to Trade)
Scenario A: The "Trend Continuation" (High Probability)
Dashboard: Trend is UP + Bias is BULLISH.
Context: The stock is strong long-term, and it closed strong yesterday (Momentum).
Execution: Watch for an opening gap up or an early breakout above the pre-market high. Go Long.
Scenario B: The "Dip Buy" (High Probability)
Dashboard: Trend is UP + Bias is BULLISH.
Context: The stock is strong long-term, but it pulled back yesterday (Weak Close). The script identifies this as a discount, not a reversal.
Execution: Watch for the stock to find support early. Use the "Master Sniper" (from your other script) to find a Discount Entry FVG.
Scenario C: The "Trap" (Avoid)
Dashboard: Win Rate is < 50%.
Context: The stock is choppy or news-driven. It does not follow technical momentum rules reliably.
Execution: Skip this stock. Move to the next one on the list.
4. Execution Workflow
Scan: Glance at the dashboard. Identify the 2-3 stocks with Green Bias + Green Trend (for Buys) or Red Bias + Red Trend (for Shorts).
Filter: Ensure their "Win Rate" is decent (over 55%).
Trade: Open the charts for those specific stocks. Use your execution indicators (like the Master Sniper) to time the entry on the 1-minute or 5-minute chart.
By using this dashboard, you stop guessing which stock to trade and focus entirely on executing the best setups.






















