Sniper 50: The Trend Master [Pure Signal]Overview Sometimes, the simplest strategies are the deadliest. This indicator brings the legendary "EMA 50 Strategy" to your chart in its purest form. It is designed to capture major market trends and reversals immediately as they happen, stripping away complex filters that often cause lag.
Why the EMA 50? The 50-period Exponential Moving Average is widely regarded by institutional traders as the primary divider between bullish and bearish territory. This tool automates the monitoring of this key level.
How It Works The logic is raw and direct:
BUY Signal: Triggered immediately when the candle closes ABOVE the EMA 50.
SELL Signal: Triggered immediately when the candle closes BELOW the EMA 50.
Key Features
Zero Noise Technology: Includes a built-in state machine that prevents repetitive signals. You will receive exactly ONE signal when the trend flips, and silence until the next reversal.
Dynamic Visuals: The EMA line changes color (Green for Bullish, Red for Bearish) to give you instant context.
Lag-Free: unlike other tools that wait for multiple confirmations, this tool prioritizes speed to catch sharp moves (like sudden crashes or rallies).
Best For
Trend Following
Swing Trading (Crypto & Stocks)
Catching rapid reversals that complex indicators might miss.
Osilatörler
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.
White Crow**White Crow — cluster reversal signals + market structure**
> Indicator that helps you read market structure (pivots, trend, last extremes) and spot potential reversals through CCI/RSI signal clusters. This is *not* a standalone trading system and does not guarantee any result — it is a tool for filtering and confirming your own market ideas.
---
## 1. Concept
White Crow combines three core blocks:
1. **Pivots & market structure**
Automatically detects **local tops/bottoms** and derives a *Bullish / Bearish / Sideways* bias from them.
In the top-right corner you see a compact panel with current trend and **Last Bottom / Last Top** prices.
2. **Momentum & overbought/oversold zones**
Inside, the indicator uses:
* **CCI** with fixed levels `+100 / -100`;
* an optional **RSI filter** with overbought/oversold levels (`80 / 20`).
These generate basic *Buy / Close* signals.
3. **Cluster signals Buy X / CloseV**
The script tracks **clusters of signals inside a 4-bar window** and highlights rarer, “amplified” events:
* **Buy X** — cluster buy signal (multiple buy conditions in a row);
* **CloseV** — cluster signal for exit/reversal.
**Buy X and CloseV are the strongest and most reliable signals in this indicator** because they are based on repeated conditions rather than a single bar. They work **best on higher timeframes (1H–4H)**, where they reflect meaningful shifts in order flow instead of noise.
> ⚠️ Important: Buy X and CloseV are *only signals*. They must be used as **one of several confirmation factors** for your own view of market structure (support/resistance, trend, price action, volume, etc.), not as standalone reasons to enter or exit trades.
---
## 2. How it works
### 2.1. Pivots and trend detection
* The indicator builds a **zigzag-like structure**:
after a local high, once price retraces down by a given percentage (`pivotSigma`), a **Top** is marked;
after a local low, once price retraces up by the same percentage, a **Bottom** is marked.
* Using the sequence of recent tops and bottoms, the script determines the trend:
* *Bullish* — the last low is higher than the previous one (HL);
* *Bearish* — the last high is lower than the previous one (LH);
* otherwise — *Sideways*.
* The info table shows:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** with adaptive decimal precision (works for crypto, FX, stocks, etc.).
### 2.2. Base Buy / Close signals
* **Long condition (Buy):**
* `CCI < -100` (oversold),
* if RSI filter is enabled — `RSI < 20`.
* **Short/Exit condition (Close):**
* `CCI > +100` (overbought),
* if RSI filter is enabled — `RSI > 80`.
These conditions generate the regular **Buy** and **Close** labels on the chart.
### 2.3. Clusters: Buy X and CloseV
To reduce noise, the indicator evaluates not only the current bar, but also the **last 4 bars**:
* `buy_count` — how many times the long condition was true within the last 4 bars;
* `sell_count` — how many times the short condition was true within the last 4 bars.
Then:
* **Buy X** appears when:
* `buy_count ≥ 2` (conditions for Buy were met on at least 2 of the last 4 bars),
* the time filter between two Buy X signals is satisfied (`Min Bars Between Signals`).
* **CloseV** appears when:
* `sell_count ≥ 2`,
* the required number of bars has passed since the previous CloseV.
> ✅ This is why **Buy X / CloseV are stronger and more trustworthy than single Buy/Close signals**, especially on **1H–4H** timeframes: the market confirms the same overbought/oversold condition several times in a row.
### 2.4. Order Blocks
* When `Show Order Blocks` is enabled, the indicator highlights **impulsive candles** whose body exceeds a threshold based on ATR.
* Colored rectangles mark **potential order blocks** (areas where strong buying or selling previously occurred).
## 3. Inputs and customization
Inputs are grouped in TradingView-friendly categories.
### 3.1. Pivot Settings
* `Show Pivots` — enable/disable **Top / Bottom** markers.
* `Sigma (% retracement)` — pivot sensitivity (minimum retracement in % required to confirm a pivot).
* Colors for Top/Bottom — for visual tuning.
**Tip:**
On H1–H4 you can keep near-default values.
On lower timeframes, reduce `Sigma` if you want more detailed local structure.
### 3.2. CCI / RSI Settings
* `CCI Period` — CCI length (short by default for faster reaction).
* `Enable RSI Filter` / `RSI Period` — toggle and length for RSI filter.
* RSI levels are fixed at **20 / 80** to mark strong oversold/overbought zones.
**Usage:**
* For more conservative entries — keep the RSI filter enabled.
* For more frequent signals (e.g. scalping) — you can disable the RSI filter.
### 3.3. Order Blocks
* `Show Order Blocks` — display order block zones.
* `Block Threshold (ATR multiplier)` — how large a candle must be (vs ATR) to be considered significant.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — choose which labels you want to see.
* `Enable Time Filter` — enable minimum spacing between amplified signals.
* `Min Bars Between Signals` — how many bars must pass between two Buy X or two CloseV signals.
**Tip:**
If you see too many amplified signals, increase `Min Bars Between Signals`.
If you want more activity, decrease it.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — choose which signal types should trigger alerts.
* `One Alert Per Bar` — when enabled, alerts are triggered only once per bar (recommended for H1–H4).
Alerts are generated via `alert()`, with messages that include signal type, ticker, timeframe and current price.
---
## 4. How to trade with White Crow
### 4.1. Recommended timeframes
* 📌 **Main focus: 1H–4H.**
On these timeframes:
* pivots and trend are more stable;
* CCI/RSI reflect meaningful swings;
* **Buy X / CloseV clusters** filter out a lot of intrabar noise.
You can still experiment on M1–M15, but expect more signals and more sensitivity to noise.
### 4.2. Reading the signals step by step
1. **Start with context**
* Look at **Market Trend / Last Bottom / Last Top** in the info panel.
* See where price is relative to these points: near resistance, near support, inside a range, etc.
2. **Identify zones of interest**
* Use pivots and order blocks as potential support/resistance areas.
* Wait for price to approach these zones.
3. **Watch the signals**
* **Buy** — early sign of local oversold conditions.
* **Buy X** — amplified cluster signal; more weight than a single Buy.
* **Close** — early warning of potential exhaustion in the current move.
* **CloseV** — amplified cluster exit/reversal signal.
4. **Practical approach**
* In a *Bullish* trend:
* focus on **Buy / Buy X** near bottoms and demand blocks;
* use **Close / CloseV** for partial profit-taking or tightening stops.
* In a *Bearish* trend:
* focus on **Close / CloseV** near tops and supply blocks;
* use **Buy / Buy X** mainly for countertrend scalps with strict risk control.
---
## 5. Important notes and disclaimer
1. **Buy X / CloseV are stronger — but not “magic” signals.**
They are statistically more meaningful than single Buy/Close signals because:
* they require multiple confirmations within a cluster;
* they are time-filtered.
However, **false signals are still possible**, especially in news spikes and low-liquidity conditions.
2. **Best performance on higher timeframes (1H–4H).**
Here, Buy X and CloseV usually reflect genuine shifts in supply/demand rather than micro noise.
3. **This is a confirmation tool, not a complete system.**
Pro Trading White Crow:
* does not manage risk;
* does not define position size or stop-loss;
* does not replace your own analysis.
Always use its signals as **one of several confluence factors** together with structure, trend, price action, volume, and your trading plan.
4. **Educational purpose only.**
This script and description are for educational and analytical purposes only.
They **do not constitute investment advice or a guarantee of profit**.
You are fully responsible for all trading decisions and risk management.
---
---
## White Crow — кластерные сигналы разворота + структура рынка
> Индикатор помогает читать рыночную структуру (пивоты, тренд, последние экстремумы) и находить потенциальные развороты через кластеры сигналов CCI/RSI. Это *не* готовая торговая система и *не* гарантия результата — а инструмент для фильтрации и подтверждения ваших собственных идей по рынку.
---
## 1. Концепция
White Crow объединяет три ключевых блока:
1. **Пивоты и структура рынка**
Автоматически находит **локальные вершины и впадины** и на их основе формирует трендовое смещение: *Bullish / Bearish / Sideways*.
В правом верхнем углу — компактная панель с текущим трендом и ценами **Last Bottom / Last Top**.
2. **Моментум и зоны перегрева**
Внутри используются:
* **CCI** с фиксированными уровнями `+100 / -100`;
* опциональный **фильтр RSI** с уровнями перепроданности/перекупленности (`20 / 80`).
По ним строятся базовые сигналы *Buy / Close*.
3. **Кластерные сигналы Buy X / CloseV**
Скрипт отслеживает **кластеры сигналов внутри окна в 4 бара** и выделяет более редкие, «усиленные» события:
* **Buy X** — кластерный сигнал покупки (несколько buy-условий подряд);
* **CloseV** — кластерный сигнал выхода/разворота.
Именно **Buy X и CloseV являются наиболее сильными и достоверными сигналами индикатора**, так как возникают при повторяющемся выполнении условий, а не на одном баре. Лучше всего они работают **на старших таймфреймах (1–4 часа)**, где отражают реальное смещение баланса спроса/предложения, а не рыночный шум.
> ⚠️ Важно: Buy X и CloseV — *это всего лишь сигналы*. Они должны использоваться **как один из факторов подтверждения** вашего видения структуры рынка (уровни, тренд, price action, объём и т.д.), а не как единственная причина для входа или выхода.
---
## 2. Как это работает
### 2.1. Пивоты и определение тренда
* Индикатор строит **структуру в стиле зигзага**:
после локального максимума, когда цена откатывает вниз на заданный процент (`pivotSigma`), отмечается **Top**;
после локального минимума, когда цена откатывает вверх на тот же процент, отмечается **Bottom**.
* По последовательности последних вершин и впадин определяется тренд:
* *Bullish* — последний минимум выше предыдущего (HL);
* *Bearish* — последний максимум ниже предыдущего (LH);
* иначе — *Sideways*.
* В информационной таблице отображаются:
* **Market Trend** — Bullish / Bearish / Sideways;
* **Last Bottom / Last Top** с адаптивным количеством знаков (подходит под крипту, форекс, акции и т.д.).
### 2.2. Базовые сигналы Buy / Close
* **Условие для Buy (лонг):**
* `CCI < -100` (зона перепроданности),
* при включённом фильтре — `RSI < 20`.
* **Условие для Close (шорт/выход):**
* `CCI > +100` (зона перекупленности),
* при включённом фильтре — `RSI > 80`.
По этим условиям индикатор рисует обычные метки **Buy** и **Close**.
### 2.3. Кластеры: Buy X и CloseV
Чтобы отсеять лишний шум, индикатор оценивает не только текущий бар, но и **4 последних бара**:
* `buy_count` — сколько раз условие на покупку выполнялось за последние 4 бара;
* `sell_count` — сколько раз условие на продажу/выход выполнялось за последние 4 бара.
Далее:
* **Buy X** появляется, когда:
* `buy_count ≥ 2` (минимум на 2 из 4 баров были условия для покупки),
* соблюдён фильтр по времени между усиленными сигналами (`Min Bars Between Signals`).
* **CloseV** появляется, когда:
* `sell_count ≥ 2`,
* прошло достаточно баров с момента предыдущего CloseV.
> ✅ Поэтому **Buy X и CloseV заметно сильнее и надёжнее одиночных Buy/Close**, особенно на **таймфреймах 1–4 часа**: рынок несколько раз подряд подтверждает один и тот же перегрев/разрядку момента.
### 2.4. Order Blocks
* При включённом `Show Order Blocks` индикатор выделяет **импульсные свечи**, чьё тело больше заданного множителя ATR.
* По таким свечам строятся цветные прямоугольники — **потенциальные блоки ордеров** (области поддержек/сопротивлений, где ранее проходил крупный объём).
---
## 3. Настройки и кастомизация
Настройки сгруппированы в привычные разделы TradingView.
### 3.1. Pivot Settings
* `Show Pivots` — включить/выключить метки **Top / Bottom**.
* `Sigma (% retracement)` — чувствительность к пивотам (минимальная глубина отката в процентах).
* Цвета Top/Bottom — визуальная настройка.
**Совет:**
На H1–H4 можно оставить значения близкие к стандартным.
На младших ТФ уменьшайте `Sigma`, если нужна более детальная структура.
### 3.2. CCI / RSI Settings
* `CCI Period` — период CCI (по умолчанию короткий, для более быстрой реакции).
* `Enable RSI Filter` / `RSI Period` — включение и длина RSI-фильтра.
* Уровни RSI фиксированы: **20 / 80**, выделяя сильную перепроданность/перекупленность.
**Использование:**
* Для более консервативной торговли — держите фильтр RSI включённым.
* Для более частых сигналов (скальпинг и т.п.) — можно фильтр отключить.
### 3.3. Order Blocks
* `Show Order Blocks` — отображение блоков ордеров.
* `Block Threshold (ATR multiplier)` — насколько большой должна быть свеча относительно ATR, чтобы считаться значимой.
### 3.4. Signals & Filters
* `Show Buy / Show Buy X / Show Close / Show CloseV` — выбор типов отображаемых меток.
* `Enable Time Filter` — включение минимального интервала между усиленными сигналами.
* `Min Bars Between Signals` — сколько баров должно пройти между двумя Buy X или двумя CloseV.
**Совет:**
Если усиленных сигналов слишком много — увеличьте `Min Bars Between Signals`.
Если хотите больше активности — уменьшите это значение.
### 3.5. Alerts
* `Buy Alerts / Buy X Alerts / Close Alerts / CloseV Alerts` — выбор типов сигналов для алертов.
* `One Alert Per Bar` — при включении алерты отправляются один раз на бар (рекомендуется для H1–H4).
Алерты формируются через `alert()` с сообщением, включающим тип сигнала, тикер, таймфрейм и текущую цену.
---
## 4. Как использовать White Crow в торговле
### 4.1. Рекомендуемые таймфреймы
* 📌 **Основной фокус: 1–4 часа.**
На этих ТФ:
* структура по пивотам и тренд более стабильны;
* CCI/RSI отражают существенные ценовые колебания;
* кластеры **Buy X / CloseV** лучше отсеивают шум.
На M1–M15 индикатор тоже можно применять, но нужно быть готовым к большему количеству сигналов и чувствительности к микродвижениям.
### 4.2. Пошаговое чтение сигналов
1. **Начните с контекста**
* Посмотрите на **Market Trend / Last Bottom / Last Top** в панели.
* Определите, где находитесь относительно этих уровней: у сопротивления, у поддержки, внутри диапазона и т.п.
2. **Найдите зоны интереса**
* Используйте пивоты и order blocks как потенциальные области спроса/предложения.
* Ждите подхода цены к этим зонам.
3. **Отслеживайте сигналы**
* **Buy** — ранний признак локальной перепроданности.
* **Buy X** — усиленный кластерный сигнал, более значимый, чем одиночный Buy.
* **Close** — ранний сигнал возможного ослабления текущего движения.
* **CloseV** — усиленный кластерный сигнал выхода/разворота.
4. **Практическое применение**
* В *бычьем* тренде:
* фокус на **Buy / Buy X** возле впадин и зон спроса;
* **Close / CloseV** использовать для частичной фиксации и подтягивания стопа.
* В *медвежьем* тренде:
* фокус на **Close / CloseV** возле вершин и зон предложения;
* **Buy / Buy X** — для аккуратных контртрендовых входов с жестким риском.
---
## 5. Важные замечания и дисклеймер
1. **Buy X / CloseV сильнее, но не «волшебные» сигналы.**
Они статистически более значимы, чем одиночные Buy/Close, потому что:
* требуют нескольких подтверждений в кластере;
* фильтруются по времени.
Однако **ложные срабатывания всё равно возможны**, особенно на новостях и в условиях низкой ликвидности.
2. **Оптимальная область применения — старшие ТФ (1–4 часа).**
Здесь Buy X и CloseV обычно отражают реальное изменение баланса спроса/предложения, а не шум.
3. **Это инструмент подтверждения, а не полноценная система.**
Pro Trading White Crow:
* не управляет рисками;
* не считает размер позиции и уровень стоп-лосса;
* не заменяет ваше собственное видение рынка.
Всегда используйте его сигналы **как один из факторов согласованности** вместе со структурой, трендом, price action, объёмом и персональным торговым планом.
4. **Образовательный характер.**
Скрипт и описание предназначены для обучения и анализа графиков.
Они **не являются инвестиционной рекомендацией и не гарантируют прибыль**.
Вы самостоятельно принимаете все торговые решения и несёте полную ответственность за риск.
---
🚦 Divergence Indicator for The Saty PO by TenAMTraderTenAM’s Traffic Light Divergence Indicator for The Saty Phase Oscillator
Overview:
This tool is designed to automatically detect regular and hidden divergences on price using data sourced from The Saty Phase Oscillator. Divergences are displayed directly on the chart using a simple traffic-light visual system:
🟢 Bullish Divergence
🔴 Bearish Divergence
🟡 Hidden Divergence
These markers highlight potential points of interest—not trade signals—based on the momentum behavior of the underlying oscillator relative to price.
How to Use:
Add The Saty Phase Oscillator to your chart.
Then load “TenAM’s Traffic Light Divergence Indicator for The Saty Phase Oscillator.”
IMPORTANT, In the indicator settings → Indicator Source, make sure you select:
Saty Phase Oscillator → Phase Oscillator
Set the indicator to plot on price (Settings → Style → "Overlay/Price").
Adjust detection preferences:
Enable Regular, Hidden, or both divergence types.
Configure Left and Right Pivot Lookbacks.
Recommended starting point: Right = 3, Left = 1.
Optimal values vary by timeframe and market—backtesting is encouraged.
Modify the Max Lookback Range (default: 60) and Min Lookback Range (default: 0) to refine how far back divergence scanning occurs.
Interpretation:
These are not buy or sell signals. They simply highlight areas where momentum and price behavior diverge, helping you evaluate potential entry opportunities or exhaustion zones.
Legal Disclaimer:
This indicator is for informational and educational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. Trading involves significant risk, and past performance does not guarantee future results. Users are fully responsible for their own trading decisions and outcomes. The creator of this script assumes no liability for any losses or damages arising from its use.
Trend with ADX, multiple EMAs - Buy & Sell✔ Trend Direction
Via DI+ > DI–
✔ Trend Strength
Via ADX
✔ Fast Entry Signals
5/8 EMA crossovers
✔ Larger Trend Confirmation
13/48 EMA crossovers
✔ Macro Trend
EMA 200
✔ Intraday Bias
VWAP
✔ Visual Trend (background)
✔ Alerts for signals + trend shifts
Bollinger Bands Mean Reversion using RSI [Krishna Peri]How it Works
Long entries trigger when:
- RSI reaches oversold levels, and
- At least one bullish candle closes inside the lower Bollinger Band
Short entries trigger when:
- RSI reaches overbought levels, and
- At least one bearish candle closes inside the upper Bollinger Band
This approach aims to capture exhaustion moves where price pushes into extreme deviation from its mean and then snaps back toward the middle band.
Important Disclaimer
This is a mean-reversion strategy, which means it performs best in sideways, ranging, or slowly oscillating market conditions. When markets shift into strong trends, Bollinger Bands expand and volatility increases, which may cause some signals to become inaccurate or fail altogether.
For best results, combine this script with:
- Price action
- Market structure
- Higher-timeframe trend context
- Previous day/week/month highs & lows
- Untested liquidity levels or imbalance zones
- Session timing (Asia, London, NY)
Using these confluences helps filter out low-probability trades and significantly improves consistency and precision.
Sniper VFI: Institutional Breakout & HeatmapDescription:
Overview This is a professional-grade momentum indicator designed to track Institutional Smart Money flow while filtering for high-probability breakout setups. It combines volume analysis, trend filtration, and price action triggers into a single dashboard.
How It Works The indicator operates on a three-step validation process:
Trend Filter: Uses a 150 EMA to define the major trend. Long positions are only permitted above the 150 EMA, and Short positions only below it.
Institutional Volume (VFI): Analyzes the Volume Flow Indicator to ensure Smart Money is participating in the move.
Micro-Breakout Trigger: Signals are only generated if the price breaks the High (for Longs) or Low (for Shorts) of the last 3 candles, ensuring immediate momentum.
Visual Guide & Legend
The Histogram (Volume & Momentum):
Bright Lime: Strong Bullish Impulse. Institutional money is flowing in, and momentum is accelerating.
Dark Green: Stable Uptrend. The trend is healthy.
Bright Red: Strong Bearish Impulse. Institutional money is flowing out, and downside momentum is accelerating.
Maroon: Stable Downtrend.
The Heatmap Tips (RSI Temperature):
Orange Tips: Overbought Warning (RSI > 70). The asset is heating up; caution is advised for new long entries. The opacity increases as RSI approaches 100.
White Tips: Oversold Warning (RSI < 30). The asset is extended to the downside.
The Signals (L/S):
L (Long): Confirmed entry. Trend is Up + VFI Positive + Price broke the recent 3-candle High.
S (Short): Confirmed entry. Trend is Down + VFI Negative + Price broke the recent 3-candle Low.
Note: This tool includes an alternating signal filter to prevent repetitive signals during trends. A Long signal will not repeat until a Short signal or a trend reset occurs.
Responsive ADX (RADX)Introducing the new Responsive ADX (RADX), running with a (length = 9) and exactly how it differs from the standard built-in ADX you see on TradingView chart.
This indicator is still a true ADX at its core — it measures trend strength from 0 to 100 and uses the classic +DI and –DI lines to show direction — but it has been carefully "tuned" to react noticeably faster while staying smooth and usable. With the length set to 9, it is one of the most responsive versions you can run without turning into noise.
How it behaves differently from the normal (Wilder) ADX
Normal ADX is lagging, now this version gives you the same trend-strength reading 4–8 bars earlier than the built-in ADX. On a daily chart that can easily be 4–8 calendar days of earlier warning. On a 4-hour chart it’s 16–32 hours earlier. That head-start is the whole point.
The ADX line rises and falls much quicker.
When a new trend actually starts, you will often see this Fast ADX cross above 18–20 while the built-in ADX is still sleeping below 15. Conversely, when a trend dies, this version drops faster, so you’re not left holding a dead trade for an extra week.
The +DI and –DI lines are almost identical to the original, but lightly smoothed with a 5-period EMA (you can turn this off). This makes the DI crossovers cleaner and reduces whipsaws without adding meaningful lag.
The final ADX smoothing uses a lightweight Hull-style technique instead of Wilder’s very slow RMA. This is the main “secret sauce” that removes roughly half the lag while keeping the line smooth and readable.
Values are realistic and tradable.
With length 9 you will typically see:
– 0–18 = flat / chop
– 15–20 = emerging trend (background starts colouring)
– 20–50 = strong trend (most people take this as confirmation)
– above 50–60 only in very powerful moves (same as normal ADX)
The aqua / purple background only appears when both conditions are met: the correct DI is on top and Fast ADX is above your chosen “weak-to-trending” level (default 18).
This prevents the background from flashing on and off in sideways markets — exactly the same logic you liked in the original Trinity ADX, but now much earlier.
In very simple terms
Think of the normal built-in ADX as a diesel truck — reliable but slow to accelerate and slow to stop. Fast Responsive ADX with length 9 is the same truck with a turbocharger — same destination and same load capacity, but it gets up to speed twice as fast and brakes earlier when the road turns.
We would recommend people who switch to this version keep the (length 9–12) because the edge in timing is obvious on the chart.
That’s it — this is a new more responsive version, still-logical ADX!
RSI Profile [Kodexius]RSI Profile is an advanced technical indicator that turns the classic RSI into a distribution profile instead of a single oscillating line. Rather than only showing where the RSI is at the current bar, it displays where the RSI has spent most of its time or most of its volume over a user defined lookback period.
The script builds a histogram of RSI values between 0 and 100, splits that range into configurable bins, and then projects the result to the right side of the chart. This gives you a clear visual representation of the RSI structure, including the Point of Control (POC), the Value Area High (VAH), and the Value Area Low (VAL). The POC marks the RSI level with the highest activity, while VAH and VAL bracket the percentage based value area around it.
By combining standard RSI, a distribution profile, and value area logic, this tool lets you study RSI behavior statistically instead of only bar by bar. You can immediately see whether the current RSI reading is located inside the dominant zone, extended above it, or depressed below it, and whether the recent regime has been biased toward overbought, oversold, or neutral territory. This is particularly useful for swing traders, mean reversion systems, and anyone who wants to integrate RSI context into a more profile oriented workflow.
🔹 Features
1. RSI-Based Distribution Profile
-Builds a histogram of RSI values between 0 and 100.
-The RSI range is divided into a user-defined number of bins (e.g., 30 bins).
-Each bin represents a band of RSI values, such as 0–3.33, 3.33–6.66, ..., 96.66–100.
-For each bar in the lookback period, the script:
-Finds which bin the RSI value belongs to
Adds either:
-1.0 → if using time/frequency
-volume → if using volume-weighted RSI distribution
This creates a clear profile of where RSI has been concentrated over the chosen lookback window.
2. Time / Volume Weighting Mode
Under Profile Settings, you can choose:
-Weight by Volume = false
→ Profile is built using time spent at each RSI level (frequency).
-Weight by Volume = true
→ Profile is built using volume traded at each RSI level.
This flexibility allows you to decide whether you want:
-A pure momentum structure (time spent at each RSI)
-Or a participation-weighted structure (where higher-volume zones are emphasized)
3. Configurable Lookback & Resolution
-Profile Lookback: number of historical bars to analyze.
-Number of Bins: controls the resolution of the histogram:
Fewer bins → smoother, fewer gaps
More bins → more detail, but potentially more visual sparsity
-Profile Width (Bars): defines how wide the histogram extends into the future (visually), converted into time using average bar duration.
This provides a balance between performance, clarity, and visual density.
4. Value Area, POC, VAH, VAL
The script computes:
-POC (Point of Control)
→ The RSI bin with the highest total value (time or volume).
-Value Area (VA)
→ The range of RSI bins that contain a user-specified percentage of total activity (e.g., 70%).
-VAH & VAL
→ Upper and lower RSI boundaries of this Value Area.
These are then drawn as horizontal lines and labeled:
-POC line and label
-VAH line and label
-VAL line and label
This gives you a profile-style view similar to classical volume profile, but entirely on the RSI axis.
5. Color Coding & Visual Design
The histogram bars (boxes) are colored using a smart scheme:
-Below 30 RSI → Oversold zone, uses the Oversold Color (default: green).
-Above 70 RSI → Overbought zone, uses the Overbought Color (default: red).
-Between 30 and 70 RSI → Neutral zone, uses a gradient between:
A soft blue at lower mid levels
A soft orange at higher mid levels
Additional styling:
-POC bin is highlighted in bright yellow.
-Bins inside the Value Area → lower transparency (more solid).
-Bins outside the Value Area → higher transparency (faded).
This makes it easy to visually distinguish:
-Core RSI activity (VA)
-Extremes (oversold/overbought)
-The single dominant zone (POC)
🔹 Calculations
This section summarizes the core logic behind the script and highlights the main building blocks that power the profile.
1. Profile Structure and Bin Initialization
A custom Profile type groups together configuration, bins and drawing objects. During initialization, the script splits the 0 to 100 RSI range into evenly spaced bins, each represented by a Bin record:
method initBins(Profile p) =>
p.bins := array.new()
float step = 100.0 / p.binCount
for i = 0 to p.binCount - 1
float low = i * step
float high = (i + 1) * step
p.bins.push(Bin.new(low, high, 0.0, box(na)))
2. Filling the Profile Over the Lookback Window
On the last bar, the script clears previous drawings and walks backward through the selected lookback window. For each historical bar, it reads the RSI and volume series and feeds them into the profile:
if barstate.islast
myProfile.reset()
int start = math.max(0, bar_index - lookback)
int end = bar_index
for i = 0 to (end - start)
float r = rsi
float v = volume
if not na(r)
myProfile.add(r, v)
The add method converts each RSI value into a bin index and accumulates either a frequency count or the bar volume, depending on the chosen mode:
method add(Profile p, float rsiValue, float volumeValue) =>
int idx = int(rsiValue / (100.0 / p.binCount))
if idx >= p.binCount
idx := p.binCount - 1
if idx < 0
idx := 0
Bin targetBin = p.bins.get(idx)
float addedValue = p.useVolume ? volumeValue : 1.0
targetBin.value += addedValue
3. Finding POC and Building the Value Area
Inside the draw method, the script first scans all bins to determine the maximum value and the total sum. The bin with the highest value becomes the POC. The value area is then constructed by expanding from that center bin until the desired percentage of total activity is covered:
for in p.bins
totalVal += b.value
if b.value > maxVal
maxVal := b.value
pocIdx := i
float vaTarget = totalVal * (p.vaPercent / 100.0)
float currentVaVol = maxVal
int upIdx = pocIdx
int downIdx = pocIdx
while currentVaVol < vaTarget
float upVol = (upIdx < p.binCount - 1) ? p.bins.get(upIdx + 1).value : 0.0
float downVol = (downIdx > 0) ? p.bins.get(downIdx - 1).value : 0.0
if upVol == 0 and downVol == 0
break
if upVol >= downVol
upIdx += 1
currentVaVol += upVol
else
downIdx -= 1
currentVaVol += downVol
UM OBV with Signal (EMA/SMA/WMA/NWE)SUMMARY
A visual OBV trend tool that highlights bullish and bearish volume pressure using smart smoothing and intuitive color-coding.
⸻
WHY THIS INDICATOR?
There are only three variables you can adjust on a chart: price, volume, and time. I wanted a good volume indicator.
⸻
DESCRIPTION
This tool extends classic On-Balance Volume with selectable trend smoothing (EMA, SMA, WMA, or NWE) and visual directional coloring on both OBV and the Signal line. Green shows bullish volume flow, red shows bearish volume flow. Optional crossover markers help confirm shifts in buying pressure.
Nadaraya-Watson Regression (NWE) provides a smooth, non-MA alternative for filtering volume trend noise, and optional dual-NWE coloring helps reduce false flips in choppy markets.
⸻
THE CHART
The indicator is added twice at the bottom; once with a 21 EMA and again with a 55 SMA. The chart has text and illustrations to show where the OBV flipped colors. More red equals more selling pressure. More green equals more buying volume or pressure.
⸻
DEFAULTS
• OBV smoothing length = 3
• Signal = 21 EMA
• Crossover bubbles are hidden/off by default
⸻
SUGGESTED USES
• Combine with price structure, momentum, or volatility tools to confirm trend strength.
• Try switching between EMA and NWE on faster intraday charts to see volume trend earlier.
• Use crossover signals as secondary confirmation rather than standalone entries.
• Use this indicator with your other favorite indicators for confirmation.
• Select timeframes suitable to your style of trading.
• I use the 30-minute, 6-hour, and Daily timeframes.
• I question myself if I am buying something with this indicator being red.
• Experiment with various timeframes and settings.
⸻
AUTHOR OBSERVATIONS
OBV often turns before price—especially when volume surges ahead of breakout levels.
NWE tends to smooth choppy OBV much better than traditional moving averages in noisy markets.
Look for Signal color flips at key support/resistance or volatility inflection points.
⸻
ALERTS
Right-click the indicator and choose Add alert… – two presets are available:
• Bullish OBV Turning Up
• Bearish OBV Turning Down
Relative Strength Index w/ BandsStandard RSI but with the option to add a shaded zone around the Upper and Lower Bands, based on an offset value.
Value/level of shaded zones need to be modified separately in the Settings from the Upper and Lower Band values.
QFT MTF Range DetectorQFT MTF Range Detector — QuantumFlowTrader
Description:
The QFT MTF Range Detector is a multi-timeframe (MTF) tool designed to identify consolidation zones or ranging conditions across multiple intraday timeframes — from 1 minute up to 4 hours. This indicator is optimized for high-frequency trading environments such as scalping and day trading.
How it works:
For each selected timeframe, the indicator evaluates five key technical conditions:
- Low ADX (less than 17) – suggesting weak trend strength.
- Range width within a specific normalized threshold.
- Normalized ATR (volatility filter) in a defined range.
- RSI near the neutral zone (40–60) with low volatility.
- Price proximity to the mid-range (consolidation center).
Each condition contributes a score. If at least 3 out of 5 conditions are met, that timeframe is considered to be in a range (consolidation).
Visual output:
A compact table is displayed on the chart showing all selected timeframes:
Black box = Timeframe is in a range (consolidation).
Purple box = Not in a range (likely trending or volatile).
Timeframes are labeled (e.g., "4H", "15M") for clarity.
Customization:
Choose display corner (top/bottom, left/right).
Enable or disable table borders.
Set custom colors for range and non-range signals.
Use case:
Traders can quickly assess which timeframes are in a range, helping them:
Avoid choppy markets,
Time entries and exits better,
Confirm multi-timeframe alignment.
Note: This is not a buy/sell signal indicator. It is a market condition filter to enhance decision-making.
Combo ProCombo Pro – Regression Channel & Long-Term Flows
This script is a visual study tool, not a trading strategy. It does not place trades or guarantee results. It simply helps to analyze price context, volatility and “flow” on the chart.
The indicator is built in three blocks:
Module A – Swing regression channel + emotional cycle
• Draws a regression channel (±σ) around price to highlight extended moves up/down.
• Adds a simple trend filter MA and basic volatility filters (ATR%).
• Includes an emotional cycle (Fear/Greed style) that tries to smooth price swings and mark potential “over-fear” / “over-greed” zones.
• “A BUY” / “A SELL” markers only show where channel + cycle conditions align; they are not automatic trade signals.
Module C – Previous candle below lower band + Fear
• Marks situations where the previous bar is below the lower regression band and the emotional cycle is in a “Fear” zone.
• Adds optional exit conditions (price back above the trend MA and/or above the Greed line).
• This module is meant to highlight potential exhaustion areas, not to provide standalone entries or exits.
Module B – Long-term MA, Whale Money Flow, TIF & SECRET votes
• Measures percentage distance from a long-term MA (pd) as a simple valuation context (cheap/expensive vs. average).
• Uses a custom Whale Money Flow to approximate when larger participants might be more/less active.
• Uses TIF (Trades in Favor) as a retail positioning/pressure gauge.
• “SECRET” logic combines valuation, whales and TIF into a vote system to highlight possible extreme zones.
• Long-term regression bands and their crosses are plotted as BUY/SELL zones only in a descriptive sense (price reaching extreme bands), not as guaranteed signal levels.
Open Interest RSI [BackQuant]Open Interest RSI
A multi-venue open interest oscillator that aggregates OI across major derivatives exchanges, converts it to coin or USD terms, and runs an RSI-style engine on that aggregated OI so you can track positioning pressure, crowding, and mean reversion in leverage flows, not just in price.
What this is
This tool is an RSI built on top of aggregated open interest instead of price. It pulls futures OI from several major exchanges, converts it into a unified unit (COIN or USD), sums it into a single synthetic OI candle, then applies RSI and smoothing to that combined series.
You can then render that Open Interest RSI in different visual modes:
Clean line or colored line for classic oscillator-style reads.
Column-style oscillator for impulse and compression views.
Flag mode that fills between OI RSI and its EMA for trend/mean reversion blends. See:
Heatmap mode that paints the panel based on OI RSI extremes, ideal for scanning. See:
On top of that it includes:
Aggregated OI source selection (Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit).
Choice of OI units (COIN or USD).
Reference lines and OB/OS zones.
Extreme highlighting for either trend or mean reversion.
A vertical OI RSI meter that acts as a quick strength gauge.
Aggregated open interest source
Under the hood, the indicator builds a synthetic open interest candle by:
Looping over a list of supported exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit.
Looping over multiple contract suffixes (such as USDT.P, USD.P, USDC.P, USD.PM) to capture different contract types on each venue.
Requesting OI candles from each venue + contract combination for the same underlying symbol.
Converting each OI stream into a common unit: In COIN mode, everything is normalized into coin-denominated OI. In USD mode, coin OI is multiplied by price to approximate notional OI.
Summing up open, high, low and close of OI across venues into a single aggregated OI candle.
If no valid OI is available for the current symbol across all sources, the script throws a clear runtime error so you know you are on an unsupported market.
This gives you a single, exchange-agnostic open interest curve instead of being tied to one venue. That aggregated OI is then passed into the RSI logic.
How the OI RSI is calculated
The RSI side is straightforward, but it is applied to the aggregated OI close:
Compute a base RSI of aggregated OI using the Calculation Period .
Apply a simple moving average of length Smoothing Period (SMA) to reduce noise in the raw OI RSI.
Optionally apply an EMA on top of the smoothed OI RSI as a moving average signal line.
Key parameters:
Calculation Period – base RSI length for OI.
Smoothing Period (SMA) – extra smoothing on the RSI value.
EMA Period – EMA length on the smoothed OI RSI.
The result is:
oi_rsi – raw RSI of aggregated OI.
oi_rsi_s – SMA-smoothed OI RSI.
ma – EMA of the smoothed OI RSI.
Thresholds and extremes
You control three core thresholds:
Mid Point – central reference level, typically 50.
Extreme Upper Threshold – high-level OI RSI edge (for example 80).
Extreme Lower Threshold – low-level OI RSI edge (for example 20).
These thresholds are used for:
Reference lines or OB/OS zone fills.
Heatmap gradient bounds.
Background highlighting of extremes.
The Extreme Highlighting mode controls how extremes are interpreted:
None – do nothing special in extreme regions.
Mean-Rev – background turns red on high OI RSI and green on low OI RSI, framing extremes as contrarian zones.
Trend – background turns green on high OI RSI and red on low OI RSI, framing extremes as participation zones aligned with the prevailing move.
Reference lines and OB/OS zones
You can choose:
None – clean plotting without guides.
Basic Reference Lines – mid, upper and lower thresholds as simple gray horizontals.
OB/OS Levels – filled zones between:
Upper OB: from the upper threshold to 100, colored with the short/overbought color.
Lower OS: from 0 to the lower threshold, colored with the long/oversold color.
These guides help visually anchor the OI RSI within "normal" versus "extreme" regions.
Plotting modes
The Plotting Type input controls how OI RSI is drawn. All modes share the same underlying OI and RSI logic, but emphasise different aspects of the signal.
1) Line mode
This is the classic oscillator representation:
Plots the smoothed OI RSI as a simple line using RSI Line Color and RSI Line Width .
Optionally plots the EMA overlay on the same panel.
Works well when you want standard RSI-style signals on leverage flows: crosses of the midline, divergences versus price, and so on.
2) Colored Line mode
In this mode:
The OI RSI is plotted as a line, but its color is dynamic.
If the smoothed OI RSI is above the mid point, it uses the Long/OB Color .
If it is below the mid point, it uses the Short/OS Color .
This creates an instant visual regime switch between "bullish positioning pressure" and "bearish positioning pressure", while retaining the feel of a traditional RSI line.
3) Oscillator mode
Oscillator mode renders OI RSI as vertical columns around the mid level:
The smoothed OI RSI is plotted as columns using plot.style_columns .
The histogram base is fixed at 50, so bars extend above and below the mid line.
Bar color is dynamic, using long or short colors depending on which side of the mid point the value sits.
This representation makes impulse and compression in OI flows more obvious. It is especially useful when you want to focus on how quickly OI RSI is expanding or contracting around its neutral level. See:
4) Flag mode
Flag mode turns OI RSI and its EMA into a two-line band with a filled area between them:
The smoothed OI RSI and its EMA are both plotted.
A fill is drawn between them.
The fill color flips between the long color and the short color depending on whether OI RSI is above or below its EMA.
Black outlines are added to both lines to make the band clear against any background.
This creates a "flag" style region where:
Green fills show OI RSI leading its EMA, suggesting positive positioning momentum.
Red fills show OI RSI trailing below its EMA, suggesting negative positioning momentum.
Crossovers of the two lines can be read as shifts in OI momentum regime.
Flag mode is useful if you want a more structural view that combines both the level and slope behaviour of OI RSI. See:
5) Heatmap mode
Heatmap mode recasts OI RSI as a single-row gradient instead of a line:
A single row at level 1 is plotted using column style.
The color is pulled from a gradient between the lower and upper thresholds: Near the lower threshold it approaches the short/oversold color and near the upper threshold it approaches the long/overbought color.
The EMA overlay and reference lines are disabled in this mode to keep the panel clean.
This is a very compact way to track OI RSI state at a glance, especially when stacking it alongside other indicators. See:
OI RSI vertical meter
Beyond the main plot, the script can draw a small "thermometer" table showing the current OI RSI position from 0 to 100:
The meter is a two-column table with a configurable number of rows.
Row colors form an inverted gradient: red at the top (100) and green at the bottom (0).
The script clamps OI RSI between 0 and 100 and maps it to a row index.
An arrow marker "▶" is drawn next to the row corresponding to the current OI RSI value.
0 and 100 labels are printed at the ends of the scale for orientation.
You control:
Show OI RSI Meter – turn the meter on or off.
OI RSI Blocks – number of vertical blocks (granularity).
OI RSI Meter Position – panel anchor (top/bottom, left/center/right).
The meter is particularly helpful if you keep the main plot in a small panel but still want an intuitive strength gauge.
How to read it as a market pressure gauge
Because this is an RSI built on aggregated open interest, its extremes and regimes speak to positioning pressure rather than price alone:
High OI RSI (near or above the upper threshold) indicates that open interest has been increasing aggressively relative to its recent history. This often coincides with crowded leverage and a buildup of directional pressure.
Low OI RSI (near or below the lower threshold) indicates aggressive de-leveraging or closing of positions, often associated with flushes, forced unwinds or post-liquidation clean-ups.
Values around the mid point indicate more balanced positioning flows.
You can combine this with price action:
Price up with rising OI RSI suggests fresh leverage joining the move, a more persistent trend.
Price up with falling OI RSI suggests shorts covering or longs taking profit, more fragile upside.
Price down with rising OI RSI suggests aggressive new shorts or levered selling.
Price down with falling OI RSI suggests de-leveraging and potential exhaustion of the move.
Trading applications
Trend confirmation on leverage flows
Use OI RSI to confirm or question a price trend:
In an uptrend, rising OI RSI with values above the mid point indicates supportive leverage flows.
In an uptrend, repeated failures to lift OI RSI above mid point or persistent weakness suggest less committed participation.
In a downtrend, strong OI RSI on the downside points to aggressive shorting.
Mean reversion in positioning
Use thresholds and the Mean-Rev highlight mode:
When OI RSI spends extended time above the upper threshold, the crowd is extended on one side. That can set up squeeze risk in the opposite direction.
When OI RSI has been pinned low, it suggests heavy de-leveraging. Once price stabilises, a re-risking phase is often not far away.
Background colours in Mean-Rev mode help visually identify these periods.
Regime mapping with plotting modes
Different plotting modes give different perspectives:
Heatmap mode for dashboard-style use where you just need to know "hot", "neutral" or "cold" on OI flows at a glance.
Oscillator mode for short term impulses and compression reads around the mid line. See:
Flag mode for blending level and trend of OI RSI into a single banded visual. See:
Settings overview
RSI group
Plotting Type – None, Line, Colored Line, Oscillator, Flag, Heatmap.
Calculation Period – base RSI length for OI.
Smoothing Period (SMA) – smoothing on RSI.
Moving Average group
Show EMA – toggle EMA overlay (not used in heatmap).
EMA Period – length of EMA on OI RSI.
EMA Color – colour of EMA line.
Thresholds group
Mid Point – central reference.
Extreme Upper Threshold and Extreme Lower Threshold – OB/OS thresholds.
Select Reference Lines – none, basic lines or OB/OS zone fills.
Extreme Highlighting – None, Mean-Rev, Trend.
Extra Plotting and UI
RSI Line Color and RSI Line Width .
Long/OB Color and Short/OS Color .
Show OI RSI Meter , OI RSI Blocks , OI RSI Meter Position .
Open Interest Source
OI Units – COIN or USD.
Exchange toggles: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit.
Notes
This is a positioning and pressure tool, not a complete system. It:
Models aggregated futures open interest across multiple centralized exchanges.
Transforms that OI into an RSI-style oscillator for better comparability across regimes.
Offers several visual modes to match different workflows, from detailed analysis to compact dashboards.
Use it to understand how leverage and positioning are evolving behind the price, to gauge when the crowd is stretched, and to decide whether to lean with or against that pressure. Attach it to your existing signals, not in place of them.
Also, please check out @NoveltyTrade for the OI Aggregation logic & pulling the data source!
Here is the original script:
Emitter + Extensive [CLEVER]The provided script is a complex, two-part Pine Script indicator designed for use on TradingView. It combines two main strategies: the Emitter module for generating trading signals using an oscillator, and the Extensive module for identifying trend direction and potential liquidity zones using a variation of the Variable Index Dynamic Average .
Here is a description of its components and function:
Indicator Name
"Emitter + Extensive " (set to overlay = true, meaning it draws directly over the price chart).
OANDA:XAUUSD CITYINDEX:GBPMXN OANDA:BTCUSD OANDA:EURUSD OANDA:USDCNH OANDA:XAUUSD
Emitter Module
This module is designed to generate specific buy/sell signals based on a modified Relative Strength Index (RSI) oscillator.
Core Logic: It calculates the RSI (Length 10) and applies a custom smoothing technique called "Discontinued Signal Lines (DSL)" and a "Zero-Lag Exponential Moving Average (ZLEMA)". This creates an oscillator line (dsl_osc) and upper/lower bounds (level_up, level_dn).
Timeframes: It supports multi-timeframe (MTF) analysis, allowing the user to view oscillator signals calculated from a different timeframe than the one currently displayed on the chart via the request.security() function.
Signals:
Buy (Up) Signal: A green triangle appears below the bar when the oscillator crosses above its lower DSL line (level_dn) and the oscillator is below 55 (suggesting a potential entry from oversold conditions). The background and candle color turn green.
Sell (Down) Signal: A red triangle appears above the bar when the oscillator crosses below its upper DSL line (level_up) and the oscillator is above 50. The background and candle color turn red.
Visuals: It uses plotshape for triangles, bgcolor for background shading, and plotcandle to color the actual price candles based on the identified trend signals.
Extensive Module
This module is intended to identify the primary market trend and potential areas of support/resistance ("liquidity levels"). The latter part of this module relating to drawing liquidity lines appears to be incomplete or disabled in the provided code.
Core Logic: It utilizes the VIDYA (Variable Index Dynamic Average), a moving average that adjusts its smoothing factor based on market volatility (momentum). The ta.atr(200) is used to measure volatility.
Trend Identification:
It calculates upper and lower bands around the VIDYA value using an ATR multiplier (band_distance).
The is_trend_up boolean variable changes state when the price (src_tf) crosses these bands.
The indicator defines an uptrend when the price crosses above the upper_band, and a downtrend when the price crosses below the lower_band.
Liquidity/Support (Incomplete): The script initializes arrays (liquidity_lines_low, liquidity_lines_high) and a placeholder extend_liquidity_lines function, suggesting an intent to plot historical pivot points or support/resistance lines that get extended across the chart. However, this functionality is not fully implemented in the provided snippet.
Summary
The combined indicator provides a comprehensive trading view:
Trend Context: The "Extensive" module establishes the overarching direction (up or down trend) based on volatility-adjusted moving averages.
Entry Signals: The "Emitter" module provides specific, colored visual signals (triangles and candle colors) when an underlying oscillator moves into favorable positions within that trend context.
Customization: Both modules offer user inputs to adjust lengths, momentum factors, distance factors, and timeframes, making it highly customizable within the TradingView interface
EBC 310 Pullback EngineEBC 310 Pullback Engine
A proprietary momentum oscillator designed specifically for identifying high-probability pullback entries in trending markets.
📊 What It Does:
The EBC 310 Pullback Engine calculates the difference between 3-period and 10-period simple moving averages, then smooths this differential with a 16-period moving average to identify momentum shifts and trend exhaustion points.
🎯 How To Use:
For LONG Entries (Pullback in Uptrend):
Wait for fast line (histogram) to dip below zero line
Enter when fast line turns GREEN (momentum returning)
Best when slow line is above zero (confirming uptrend)
For SHORT Entries (Pullback in Downtrend):
Wait for fast line to spike above zero line
Enter when fast line turns RED (momentum failing)
Best when slow line is below zero (confirming downtrend)
🔧 Features:
✅ Color-Coded Momentum:
Green bars = Rising momentum (bullish)
Red bars = Falling momentum (bearish)
Blue bars = No change (consolidation)
✅ Trend Confirmation:
Blue slow line = Rising trend strength
Purple slow line = Weakening trend
Orange slow line = Trend pause
✅ Zero Line Reference:
Gray line marks equilibrium
Above = bullish bias
Below = bearish bias
⚙️ Settings:
3-10 Diff Moving Average Window: Default 16
Lower values (10-12) = More sensitive, faster signals
Higher values (20-25) = Smoother, fewer false signals
💡 Trading Strategy:
Identify overall trend direction on higher timeframe
Wait for pullback (fast line crosses zero against trend)
Enter when momentum returns (color change with trend)
Exit when fast line crosses zero in opposite direction
📈 Best Timeframes:
Scalping: 1-5 min charts
Day Trading: 15-30 min charts
Swing Trading: 1H-4H charts
⚠️ Risk Disclaimer:
This indicator is a momentum tool and should be used in conjunction with proper risk management, support/resistance levels, and additional confirmation signals. No indicator guarantees profitable trades.
Sniper PerfectOverview
Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
⚙️ Crucial Calibration (Read This!)
One size does NOT fit all. Every asset (Crypto, Forex, Tech Stocks) has a unique "heartbeat" and volatility profile.
Recommendation: Do not rely solely on default settings. It is highly recommended to tweak the inputs (specifically VFI Length, EMA Length, and Chop Threshold) for each specific asset you trade.
How to Optimize: Experiment with the settings until the visual signals align best with the historical price action of the specific chart you are analyzing. Calibrate your scope before you shoot.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
Sniper Perfect: Institutional Flow & Adaptive Risk ProtocolOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
Sniper PerfectOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
The Truth Sniper: Breathing Edition**Overview**
This is a highly advanced trend-following strategy designed to filter out market noise ("Fakeouts") and manage risk using a dynamic "Breathing Ratchet" mechanism. It combines traditional trend analysis with institutional money flow logic to identify the true market direction.
**Key Features**
**1. The Conflict Zone (Gray Zone Filter)**
Most strategies fail during low-volume accumulation or distribution phases. This algorithm introduces a "Conflict Zone" logic:
* **True Rally (Green):** Price is above EMA50 AND Money Flow (VFI) is positive.
* **True Drop (Red):** Price is below EMA50 AND Money Flow (VFI) is negative.
* **Conflict (Gray Background):** When Price and Money Flow disagree (e.g., Price rising on negative volume), the background turns Gray. **Trading is disabled** in these zones to avoid bull/bear traps.
**2. Breathing Stop-Loss Mechanism (Volatility Adjusted)**
The Stop Loss isn't static. It "breathes" based on market heat (Volume/RSI):
* **High Heat (High Volatility):** The SL loosens its grip, moving towards the bottom of the Fibonacci zone to allow price fluctuation without premature exits.
* **Low Heat (Low Volatility):** The SL tightens aggressively towards the price to lock in profits during slow momentum.
**3. The Ratchet Lock (Slippage Prevention)**
To ensure maximum profit retention, the "Breathing" mechanism is governed by a **Ratchet Logic**:
* **For Longs:** The Stop Loss can ONLY move UP. If the "Breathing" calculation suggests lowering the stop (due to increased volatility), the Ratchet blocks it, keeping the SL at the highest historical level.
* **For Shorts:** The Stop Loss can ONLY move DOWN.
**4. Fibonacci Exit Zones**
Exits are calculated based on a 60-day dynamic High/Low lookback, creating "Zones" (0-23.6%, 23.6-38.2%, etc.) that the price must conquer. The SL trails these zones mechanically.
**Visual Guide**
* **Lime/Red Background:** Active Trade Zone (Confirmed Trend).
* **Gray Background:** Conflict Zone (Stay Out / Hold).
* **Purple 'X':** The exact price level where the Stop Loss was hit (Fixed marker).
* **Stepline:** The active Stop Loss level (Visible only during open trades).
**Disclaimer**
This script is for educational and research purposes only. Always manage your risk.
FVG & IFVG MTF Detector [Alphaomega18]TITLE:
FVG & IFVG Multi-Timeframe Detector
SHORT DESCRIPTION:
Automatic Fair Value Gap (FVG) and Inverse Fair Value Gap (IFVG) detector with multi-timeframe analysis and automatic gap fill closure.
FULL DESCRIPTION:
📊 OVERVIEW
This indicator automatically detects Fair Value Gaps (FVG) and Inverse Fair Value Gaps (IFVG) on your current timeframe and up to 12 additional timeframes simultaneously. Perfect for confluence analysis and identifying institutional zones.
🎯 KEY FEATURES
✅ Multi-Timeframe Detection:
• 12 available timeframes: 1min, 2min, 5min, 10min, 15min, 30min, 1H, 2H, 4H, Daily, Weekly, Monthly
• Each timeframe with customizable color
• Timeframe labels positioned on the right of boxes
✅ Automatic Closure:
• FVGs automatically close when price fills the gap
• Option to disable for traditional fixed extension
• Smart midline management
✅ Complete Customization:
• Customizable colors for each timeframe
• Configurable label size, position, and style
• Gap size display options (separate for current TF and MTF)
• Transparent or colored labels for MTF
• Customizable borders and midlines
✅ Filters & Controls:
• Filter by minimum gap size
• Maximum boxes per timeframe
• Configurable box extension (5-100 bars)
• Border styles: Solid, Dashed, Dotted
✅ Integrated Dashboard:
• Active FVG/IFVG counter
• Statistics per timeframe
• Customizable position
📈 USAGE
1. **Timeframe Activation**:
- Go to Settings > Multi-Timeframe
- Check the timeframes you want to analyze
- Customize colors for each timeframe
2. **Display Configuration**:
- Settings > Display: control labels and their content
- "Transparent MTF Labels": displays only timeframe text without colored background
- "Show Gap Size": separate options for current TF and MTF
3. **Automatic Closure**:
- Settings > Filters > "Close FVG when Filled": enable to automatically close filled gaps
- Disable for traditional fixed extension
4. **Filtering**:
- "Min Gap Size": filter out insignificant small gaps
- "Max Boxes": control the number of FVGs displayed per timeframe
🔍 INTERPRETATION
• **Bullish FVG (🟢)**: Bullish gap - potential support zone
• **Bearish IFVG (🔴)**: Bearish gap - potential resistance zone
• **MTF Confluences**: Multiple FVGs from different timeframes at the same level = strong institutional zone
⚙️ TECHNICAL PARAMETERS
• Detection: low > high (bullish) | high < low (bearish)
• Max boxes per timeframe: 500
• Max lines: 500
• Automatic memory management (old FVG deletion)
🎨 ADVANCED CUSTOMIZATION
• Separate background and border colors
• 4 label sizes: Tiny, Small, Normal, Large
• 3 label positions for current TF: Left, Center, Right
• MTF labels always positioned right for clarity
• Optional midlines with customizable style and color
💡 USAGE TIPS
1. Start with 2-3 timeframes maximum to avoid visual overload
2. Use contrasting colors to easily differentiate timeframes
3. Daily/Weekly gaps are perfect for identifying major institutional zones
4. Combine with your price action strategy for precise entries
5. Automatic closure helps identify when a zone is invalidated
📊 IDEAL FOR
• ICT Traders (Inner Circle Trader)
• Scalping & Day Trading
• Swing Trading
• Institutional zone analysis
• Multi-timeframe confluence trading
🔔 ALERTS
Configurable alerts for:
• New Bullish FVG detected
• New Bearish IFVG detected
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© 2024 Alphaomega18 - All rights reserved
License: Mozilla Public License 2.0
Bli-Rik : Trend + HTF 34 + HTF RSI Rel + Stoch Filtersprovides you accurate buy and sell signals on 5 mins and 15 mins chart, mainly foe sensex
Pure xATR ProUncover the hidden rhythm of the market with Pure xATR Pro. This indicator is designed for serious traders who need to understand "Price Extension". It calculates the precise distance between the price and the baseline Moving Average (MA) relative to market volatility (ATR). Instead of guessing top and bottom, visualize exactly where the price stands in the cycle—from extreme panic selling to euphoric profit-taking.
Key Features:
4-Stage Market Zoning System:
Panic Zone (Oversold): Identifies extreme price drops (statistically rare deviations). Often presents high-reward mean reversion opportunities.
Buy Zone (Entry): The sweet spot for trend initiation.
Hold / Winner Zone: Detects strong momentum. Keeps you in the trade while the trend is healthy (Ride the trend).
Profit Taking Zone (Overbought): signals when the price is statistically overextended and liable to pullback.
Adaptive Volatility Logic:
Includes a dynamic algorithm that analyzes historical volatility (Lookback Period) to automatically adjust Overbought/Oversold percentiles, adapting to changing market conditions.
Professional Dashboard:
Real-time Status: Displays current Zone, Volatility State (Breakout/Normal), and Actionable Advice.
Risk Management: Auto-calculates Dynamic Stop Loss (based on Supertrend, ATR, or MA) and Fixed % Risk.
Multi-Level Targets: Automatically projects 3 profit targets (TP) based on ATR multiples.
Clean & Customizable Visuals:
Smart Highlighting: Background colors automatically highlight key zones (Panic/Buy/Hold/Profit).
Style Control: Full color customization available directly in the "Style" tab for a clutter-free input menu.
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ค้นพบจังหวะที่แท้จริงของตลาดด้วย Pure xATR Pro อินดิเคเตอร์ระดับมืออาชีพที่ออกแบบมาเพื่อวิเคราะห์ "ระยะการยืดตัวของราคา" (Price Extension) โดยคำนวณระยะห่างระหว่างราคากับเส้นค่าเฉลี่ย (MA) เทียบกับความผันผวน (ATR) ช่วยให้คุณเห็นภาพชัดเจนว่าราคา ณ ปัจจุบันอยู่ในสถานะใด ตั้งแต่จุดที่คนเทขายด้วยความตกใจ (Panic) ไปจนถึงจุดที่ราคาแพงเกินไปและควรขายทำกำไร
ฟีเจอร์หลัก (Key Features):
ระบบแบ่งโซนตลาด 4 ระดับ (4-Stage Zoning):
Panic Zone (โซนของถูก/Oversold): จับจังหวะที่ราคาดิ่งลงแรงผิดปกติ ซึ่งมักเป็นจุดกลับตัวที่ให้ผลตอบแทนสูง (High Reward)
Buy Zone (โซนสะสม): จุดเริ่มต้นของเทรนด์ เป็นระยะปลอดภัยในการเข้าออเดอร์
Hold / Winner Zone (โซนรันเทรนด์): แยกแยะช่วงที่เทรนด์แข็งแกร่ง ให้คุณ "ถือสถานะต่อ" (Let Profit Run) ไม่ขายหมู
Profit Taking Zone (โซนขายทำกำไร): แจ้งเตือนเมื่อราคาวิ่งไปไกลเกินค่าเฉลี่ยทางสถิติ (Overextended) เพื่อพิจารณาขาย
ระบบปรับตัวตามความผันผวน (Adaptive Logic):
อัลกอริทึมอัจฉริยะที่คำนวณค่า Percentile ย้อนหลัง เพื่อปรับระดับ Overbought/Oversold ให้เหมาะสมกับสภาวะตลาดที่เปลี่ยนไปโดยอัตโนมัติ
หน้าปัดสถานะครบวงจร (Professional Dashboard):
แสดงสถานะปัจจุบัน (Action), ระดับความผันผวน, และคำแนะนำแบบ Real-time
Risk Management: คำนวณจุด Stop Loss ให้อัตโนมัติ (เลือกสูตรได้: Supertrend, ATR, หรือ MA)
Target Projection: คำนวณเป้าหมายทำกำไร (TP) ให้ล่วงหน้า 3 ระดับตามระยะ ATR
กราฟสะอาดตา ปรับแต่งง่าย (Clean Visuals):
Smart Highlight: ไฮไลท์สีพื้นหลังตามโซนต่างๆ อัตโนมัติ (Panic/Buy/Hold/Profit) ทำให้ดูเทรนด์ง่ายเพียงกวาดตา
Customizable: ปรับแต่งสีและความโปร่งใสได้อิสระผ่านแถบ "Style" เพื่อกราฟที่ดูเป็นระเบียบและไม่รกสายตา
