Apex Wallet - Bitcoin Halving Cycle & Profit ProjectionOverview The Apex Wallet Bitcoin Halving Cycle Profit is a strategic macro-analysis tool designed for Bitcoin investors and long-term holders. It provides a visual framework of Bitcoin's 4-year cycles by identifying past halving dates and projecting future ones automatically. The script highlights key accumulation and profit-taking windows based on historical cycle performance.
Dynamic Cycle Intelligence
Halving Milestones: Automatically detects and marks all major halving events (2012, 2016, 2020, 2024) with precise timestamps.
Predictive Projections: Using an estimated 1,460-day cycle, the script projects up to 30 future halving events to help plan long-term investment horizons.
Timeframe Optimization: Built specifically for Weekly (W) and Monthly (M) charts to provide a clean, high-level perspective of market structure.
Key Strategy Visuals
Profit Windows: Visualizes "Start" and "End" profit zones with automated vertical lines and color-coded labels based on user-defined offsets from the halving.
DCA Chain Signals: Identifies strategic Dollar Cost Averaging (DCA) points throughout the cycle to assist in disciplined accumulation.
Heatmap Shading: Features dynamic background shading that intensifies as the cycle progresses toward historical peak performance periods.
How to Use:
Switch to a Weekly or Monthly Bitcoin chart.
Use the Green Labels (Profit START) to identify early cycle strength.
Monitor the Red Labels (Profit END) for historical cycle exhaustion zones.
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Apex Wallet - Opening Range Breakout (ORB) & Session LevelsOverview The Apex Wallet Opening Range Breakout (ORB) is a professional intraday tool designed to capture the volatility of the first minutes of the trading session. By defining a clear range at the market open, this indicator provides traders with high-probability breakout levels and psychological targets based on mathematical extensions of the initial move.
Core Mechanics
Customizable Session: Easily define your preferred opening range duration (e.g., first 5, 15, or 30 minutes) and session start time.
Dynamic Timezone Adjustment: Includes a built-in UTC offset feature to ensure session times align perfectly with your local market, regardless of where you are trading from.
Automated Level Tracking: The script automatically identifies and locks the high and low of the specified opening period.
Key Features:
Psychological Mid-Lines: Calculates the 50% median of the range (ORB Mid) as a pivot point for trend strength.
Advanced Volatility Extensions: Plots internal and external targets (High+Mid, Low+Mid) to identify potential exhaustion zones or secondary breakout levels.
Intraday Optimization: Designed specifically for low-timeframe traders (1m to 15m) looking for clear execution zones at the bell.
How to use: Wait for the opening range to be established. A breakout above the ORB High often indicates bullish dominance, while a break below the ORB Low suggests bearish momentum. Use the internal extension lines as take-profit targets or areas to move your stop-loss to breakeven.
Apex Wallet - MTF Trend Monitor: Unified Indicator DashboardOverview The Apex Wallet MTF Trend Meter is a powerful Multi-Timeframe (MTF) dashboard designed to provide a bird's-eye view of market conditions across several time intervals simultaneously. Instead of switching between charts, this tool presents a clean, real-time table directly on your workspace, allowing you to identify high-probability trade setups through timeframe alignment.
Multi-Layered Analysis The dashboard monitors and categorizes technical data into actionable color-coded cells:
Timeframe Master Trend: Tracks the core market direction using EMA filters (adjustable for Scalping, Day, or Swing trading).
Oscillator Confluence: Instant status of Stochastic (STO), RSI, MACD, and TDI.
Andean Oscillator: Specialized tracking for market states including Bullish, Bearish, Consolidating, or Reversing.
Market Volume Delta: Real-time institutional flow tracking with customizable modes (Buy/Sell, Neutral, or Auto).
Key Features:
Fully Customizable Grid: Toggle individual timeframes (from 1m up to 4h) and specific indicators to match your trading strategy.
Smart Adaptive Presets: One-click selection for Scalping, Day-Trading, or Swing-Trading automatically updates all internal indicator periods for optimized performance.
Trend-Filtered Signals: Momentum indicators are filtered by the master trend EMA to ensure signals are displayed only when aligned with the broader market direction.
Compact UI: Designed for efficiency, the dashboard sits discreetly on your chart while providing maximum data density.
How to Use: Identify "Vertical Confluence" where multiple timeframes align with the same color, indicating a high-conviction trend continuation or breakout.
Apex Wallet - Volume Profile: Institutional POC & Value Area TooOverview The Apex Wallet Volume Profile is a professional-grade institutional analysis tool designed to reveal where the most significant trading activity has occurred. By plotting volume on the vertical price axis, it identifies key liquidity zones, value areas, and market fair value, which are essential for order flow trading and identifying high-probability support and resistance.
Dynamic Multi-Mode Engine This script features an intelligent adaptive lookback system that automatically adjusts based on your timeframe and trading style:
Scalping: Fine-tuned for 1m to 15m charts, focusing on immediate liquidity.
Day-Trading: Optimized for intraday sessions from 5m to 1h timeframes.
Swing-Trading: Deep historical analysis for 1h up to daily charts.
Institutional Data Points
Point of Control (POC): Automatically identifies and highlights the price level with the highest total volume.
Value Area (VAH/VAL): Calculates the range where 70% (customizable) of the volume occurred, representing the "Fair Value" of the asset.
HVN & LVN Detection: Spots High Volume Nodes (significant support/resistance) and Low Volume Nodes (rejection zones).
Delta Visualization: Toggle between Bullish, Bearish, or Total volume distribution for precise buy/sell pressure analysis.
Professional UI The profile is rendered with high-fidelity histograms that can be offset to avoid overlapping with price action. It features clear labels and dashed levels for institutional markers, ensuring a clean and actionable workspace.
Crypto MMFCrypto MMF Indicator:
The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims.
Integration Rationale
Volume-Weighted Momentum Analysis
The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations.
The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise.
Multi-Timeframe Momentum Convergence
The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons.
This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences.
Component Synergy Mechanism
Core Calculation Components
Price-Volume Integration Engine
The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum.
Exponential Smoothing Application
Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure.
Normalization Process
The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds.
Multi-Timeframe Synchronization System
Hierarchical Timeframe Calculation
The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods.
Cross-Timeframe Data Retrieval
A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions.
Higher Timeframe Smoothing Layer
An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style.
Signal Generation Framework
Threshold-Based Zone Analysis
The indicator establishes three operational zones based on statistical observations of momentum extremes:
Neutral zone (25-75): Represents balanced market conditions
Lower extreme zone (0-25): Indicates potential oversold conditions
Upper extreme zone (75-100): Indicates potential overbought conditions
These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes.
Conditional Signal Categorization
The system monitors four distinct momentum conditions:
Initial extreme readings: Momentum enters extreme zones without confirmation
Confirmed extremes: Smoothed momentum follows into extreme zones
Multi-timeframe alignment: Current and higher timeframe momentum move in concert
Multi-timeframe divergence: Current and higher timeframe momentum diverge
Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge.
Practical Implementation Guidelines
Functional Applications
Trend Confirmation Protocol
When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement.
Divergence Detection Methodology
Three divergence types merit monitoring:
Classic divergence: Price reaches new extremes while momentum fails to confirm
Hidden divergence: Price retraces within a trend while momentum suggests trend continuation
Timeframe divergence: Momentum moves opposite directions across timeframes
Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns.
Zone-Based Risk Assessment
The oscillator's bounded nature facilitates structured risk assessment:
Extreme zone entries: Higher potential reward but require confirmation
Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios
Zone transitions: Often precede accelerated price movements
Parameter Configuration Philosophy
Core Parameter Settings
The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments.
Multi-Timeframe Multiplier Selection
The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value.
Smoothing Parameter Considerations
Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation.
Interpretation Protocol
Step 1: Momentum Context Assessment
Begin analysis by determining the current momentum context:
Absolute level relative to threshold zones
Direction and velocity of recent momentum changes
Relationship to the midpoint (50) level
Step 2: Timeframe Alignment Evaluation
Compare current and higher timeframe momentum:
Confirm directional alignment for trend trading
Identify divergences for potential reversal scenarios
Assess convergence strength for position sizing decisions
Step 3: Volume Confirmation Analysis
Evaluate whether recent volume patterns support momentum readings:
Extreme momentum with declining volume: Caution warranted
Neutral momentum with increasing volume: Potential breakout precursor
Confirmed momentum with expanding volume: Higher conviction signal
Step 4: Market Context Integration
Correlate momentum readings with broader market context:
Correlated cryptocurrency movements
Overall market capitalization trends
Relevant news or fundamental developments
Originality and Differentiation
Innovative Design Elements
Volume-Integrated Momentum Calculation
Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur.
Dynamic Timeframe Adaptation
The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments.
Multi-Layer Confirmation Framework
The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions.
Theoretical Foundations
The indicator's design incorporates elements from multiple technical analysis disciplines:
Momentum analysis principles from oscillator theory
Volume-price relationships from market microstructure
Multi-timeframe analysis from hierarchical trend theory
Statistical normalization from quantitative analysis
This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena.
Risk Management Integration
Signal Quality Assessment
The indicator facilitates signal quality evaluation through multiple confirmation requirements:
Primary momentum extreme reading
Smoothed momentum confirmation
Higher timeframe alignment or constructive divergence
Supporting volume characteristics
Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation.
False Signal Mitigation
Several design elements reduce false signal susceptibility:
Volume-weighting filters low-conviction price movements
Exponential smoothing reduces noise-induced fluctuations
Multi-timeframe analysis filters counter-trend movements
Graduated confirmation requirements prevent premature action
These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely.
Implementation Considerations
Cryptocurrency Market Specificity
The indicator incorporates design elements particularly relevant to cryptocurrency markets:
24/7 market operation accommodation
High volatility regime compatibility
Volume data availability considerations
Cross-market correlation awareness
These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets.
Customization Guidelines
Users may adjust parameters based on:
Trading timeframe (scalping, day trading, swing trading)
Cryptocurrency pair characteristics (volatility, volume profile)
Risk tolerance and trading style
Market regime (trending, ranging, transitional)
Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance.
Conclusion
The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations.
The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
ORB FOR WINNERSMarks out the highs and lows for the first 15m candle or the first 1H candle for Asia, London & NY Session
Crypto Dual MA Signal EditionCrypto Dual MA Signal Edition - Comprehensive Technical Analysis Indicator
Overview
The Crypto Dual MA Signal Edition is a sophisticated technical analysis indicator specifically designed for cryptocurrency markets, combining trend-following and momentum analysis systems into a unified framework. This indicator integrates multiple proven technical analysis concepts to provide comprehensive market insights while maintaining clear, actionable signals.
Integration Rationale & Component Synergy
1. Dual EMA Trend System + Stochastic RSI Convergence
Integration Basis: Trend-following indicators (EMA) work effectively when combined with momentum oscillators (Stochastic RSI) to filter false signals and confirm trend strength.
Synergy Mechanism:
The dual EMA system (12/25 periods) identifies primary trend direction
Stochastic RSI (14-period) provides overbought/oversold readings within that trend
Trend signals are only confirmed when both systems align, reducing whipsaws
EMA crossovers provide entry signals, while Stochastic RSI validates momentum
2. MA Filter Integration
Integration Basis: Longer-term moving averages act as trend filters to avoid trading against established market direction.
Synergy Mechanism:
200-period MA (configurable type: EMA/SMA/WMA) serves as trend benchmark
Long positions only triggered above 200-MA in bullish trends
Short positions only triggered below 200-MA in bearish trends
Provides multi-timeframe confirmation to intraday signals
3. Background Highlight System
Integration Basis: Visual cues enhance signal recognition and emphasize critical market conditions.
Synergy Mechanism:
Background colors highlight Stochastic RSI events without cluttering price chart
Different colors for different signal types (middle cross, overbought/oversold, level breaks)
Works in parallel with other systems, providing additional context without interference
Component Functions & Operational Principles
Core Components:
Dual EMA System
Fast EMA (12): Quick trend changes
Slow EMA (25): Confirmed trend direction
Mode: Switchable between dual EMA display and single EMA
Signal generation based on EMA positioning and consecutive bars
Stochastic RSI System
Combines RSI momentum with stochastic oscillator principles
Triple-smoothed (RSI → Stochastic → K/D smoothing)
Predefined levels: 80 (overbought), 50 (middle), 20 (oversold)
Multiple cross types for different market conditions
Signal Generation Logic
Consecutive count mechanism for trend persistence
"B" signals: Initial bullish EMA alignment
"S" signals: Initial bearish EMA alignment
Candlestick coloring for visual trend representation
Alert Systems
EMA cross alerts for major trend changes
Stochastic RSI cross alerts for momentum shifts
Separate alerts for different signal categories
Practical Usage Guidelines
For Trend Traders:
Primary Trend Identification: Use EMA positioning relative to 200-MA
Entry Timing: Wait for "B" or "S" signals confirmed by Stochastic RSI alignment
Trend Continuation: Monitor consecutive bar counts and candlestick colors
Exit Signals: Watch for opposing signals or Stochastic RSI divergence
For Range/Swing Traders:
Overbought/Oversold Levels: Stochastic RSI extremes (below 20/above 80)
Middle Crosses: Stochastic RSI crosses around 50 level
EMA Filter: Use 200-MA as support/resistance reference
Customization Options:
Adjust EMA periods for different trading styles
Modify Stochastic RSI parameters for sensitivity
Enable/disable background highlights based on preference
Select MA type and period for trend filtering
Originality & Unique Features
Distinctive Integration:
Consecutive Count System: Tracks trend persistence beyond simple crossovers
Unified Signal Display: Combines letters ("B"/"S"), candlestick colors, and background highlights
Flexible EMA Modes: Switch between dual and single EMA displays
Comprehensive Filtering: EMA alignment, MA position, and momentum confirmation
Practical Design Choices:
Color Scheme: Blue for bullish, orange for bearish (clear differentiation)
Signal Prioritization: Initial signals marked with letters, trends with colors
Multi-layer Validation: Three-tier confirmation system (EMA + Stochastic + MA filter)
Clean Visualization: Information-rich display without chart clutter
Important Disclaimers & Limitations
Realistic Expectations:
This indicator provides signals, not guarantees
All technical indicators have inherent lag
Market conditions change; no system works perfectly in all environments
Cryptocurrency markets exhibit high volatility and unpredictable behavior
Proper Usage:
Never rely solely on one indicator for trading decisions
Always use appropriate risk management and position sizing
Consider fundamental factors and market context
Test thoroughly on historical data before live implementation
Adjust parameters to match specific cryptocurrency pairs and timeframes
Development Philosophy
This indicator was developed with these principles:
Evidence-Based: Components based on widely researched technical concepts
Practical Focus: Designed for actual trading use, not theoretical perfection
User-Centric: Customizable to individual preferences and trading styles
Transparent: Clear logic without "black box" calculations
Final Recommendations
For optimal results:
Start with default parameters on major cryptocurrency pairs (BTC, ETH)
Adjust Stochastic RSI sensitivity for altcoins with different volatility profiles
Use higher timeframes (4H, Daily) for primary trend analysis
Combine with volume analysis and market structure for confirmation
Regularly review and adjust settings as market conditions evolve
The Crypto Dual MA Signal Edition provides a comprehensive toolkit for cryptocurrency analysis, but successful trading requires disciplined execution, continuous learning, and integrated risk management strategies.
Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papua )Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papuan Trader )
Overview
Ultra-Fast Scalp Predictor is a high-speed technical indicator specifically engineered for scalpers and day traders. Built on Pine Script V6, this tool specializes in identifying "Squeeze" phases—periods of market compression—and predicting the direction of the upcoming "explosion" before it happens.
The Problem It Solves
Most scalping indicators suffer from two issues: they are either too slow (Lagging) or too sensitive (Fake Signals). This script solves both by using a "Preparation -> Prediction -> Execution" workflow.
How It Works
Phase 1: Squeeze Detection (The Setup) The script monitors the volatility "coil" using Bollinger Bands and Keltner Channels. A Gray Background indicates a Squeeze. This is where the market is sideways, building energy.
Phase 2: Momentum Velocity (The Prediction) While the price is still sideways, the script uses Linear Regression Momentum and Price Velocity.
Aqua Circle (Early Ready Up): Momentum is shifting bullish inside the squeeze.
Orange Circle (Early Ready Down): Momentum is shifting bearish inside the squeeze.
Phase 3: Fast Breakout (The Execution) Once the squeeze "fires" and price crosses the bands, the script triggers a FAST BUY or FAST SELL signal.
Key Features
No-Lag HMA: Uses a 12-period Hull Moving Average for ultra-responsive trend tracking.
Squeeze Logic: Prevents you from overtrading in a "dead" market.
Predictive Signals: The "Early Ready" dots give you a split-second advantage over other traders.
Visual Clarity: Clean labels and shapes designed for 1-minute and 5-minute timeframes.
How to Trade with This Indicator
Step 1 (The Wait): Wait for the gray background (Squeeze).
Step 2 (The Hint): Look for the Aqua or Orange dots. These are your "get ready" warnings.
Step 3 (The Entry): Enter as soon as the FAST BUY (Lime) or FAST SELL (Red) triangle appears.
Step 4 (The Exit): Exit when the HMA line changes color or use a 1:1.5 ATR-based risk/reward ratio.
Settings Explained
Fast HMA Length: Default is 12. Lower = Faster, Higher = Smoother.
Squeeze Length: Default is 20. Controls how sensitive the sideways detection is.
Multipliers: Adjust the BB and KC multipliers to tighten or loosen the breakout sensitivity.
Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis, not replace sound risk management. Always backtest on a demo account before trading live.
TBC-Time ZoneEnglish Version
Session Highlighter A lightweight tool to visually distinguish morning and night trading sessions. Customize your specific hours and background colors to stay focused on key market phases.
中文简介
时段高亮器 (Session Highlighter) 一款轻量级的交易时段标注工具。通过自定义背景颜色，直观区分早盘与夜盘时间，帮助交易者快速锁定核心交易时段。
Scalp Breakout Predictor Pro - by Herman Sangivera (Papua)Scalp Breakout Predictor Pro by Herman Sangivera ( Papuan Trader )
Overview
The Scalp Breakout Predictor Pro is a high-performance technical indicator designed for scalpers and day traders who thrive on market volatility. This tool specializes in identifying "Squeeze" phases—periods where the market is consolidating sideways—and predicts the likely direction of the upcoming breakout using underlying momentum accumulation.
How It Works
The indicator combines three core mathematical concepts to ensure "Safe but Fast" entries:
Squeeze Detection (BB vs. KC): It monitors the relationship between Bollinger Bands and Keltner Channels. When Bollinger Bands contract inside the Keltner Channels, the market is in a "Squeeze" (represented by the gray background). This indicates that energy is being coiled for a massive move.
Momentum Accumulation (Pre-Signal): While the price is still moving sideways, the script analyzes linear regression momentum.
PRE-BULL: Momentum is building upwards despite price being flat.
PRE-BEAR: Momentum is fading downwards despite price being flat.
Breakout Confirmation: An entry signal is only triggered when the Squeeze "fires" (the price breaks out of the bands), ensuring you don't get stuck in a dead market for too long.
Key Features
Real-time Prediction Labels: Get early warnings (PRE-BULL / PRE-BEAR) to prepare for the trade before it happens.
Dynamic TP/SL Lines: Automatically calculates Take Profit and Stop Loss levels based on the Average True Range (ATR), adapting to the current market's "breath."
On-Screen Dashboard: A sleek table in the top-right corner displays the current market phase (Squeeze vs. Volatile), the predicted next move, and the current ATR value.
Pine Script V6 Optimized: Built using the latest version of TradingView’s coding language for maximum speed and compatibility.
Trading Rules
Preparation: When you see a Gray Background, the market is sideways. Watch the Dashboard for the "Potential" direction.
Anticipation: If a PRE-BULL or PRE-BEAR label appears, get ready to enter.
Execution: Enter the trade when the ENTRY BUY (Lime Triangle) or ENTRY SELL (Red Triangle) signal appears.
Exit: Follow the Green Line for Take Profit and the Red Line for Stop Loss.
Technical Settings
HMA Length: Adjusts the sensitivity of the trend filter (Hull Moving Average).
TP/SL Multipliers: Allows you to customize your Risk:Reward ratio based on ATR volatility.
Squeeze Length: Determines the lookback period for consolidation detection.
Disclaimer: Scalping involves high risk. Always test this indicator on a demo account before using it with live capital.
EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence.
The EMAs used are EMA 9, EMA 12 and EMA 20.
When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal.
The way to use it is to apply it onto the Pine Screener.
You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan.
If Condition is True, the candlesticks would have a green arrow below and the background is highlighted.
The script is published, feel free to amend it as you like
Have a Nice Day, and Trade Safe !
Clean CPR v7.0 (Call & Put)// --------------------------------------------------------------------
// DESCRIPTION
// --------------------------------------------------------------------
// Clean CPR v7.1 is a multi-module trading and analysis toolkit built
// around Central Pivot Range (CPR) for intraday and swing trading.
//
// Core features:
// • Daily / Weekly / Monthly CPR with fills, labels and price display
// • Automatic CPR width classification (Super Narrow → Wide)
// • Visual alert when today’s CPR is WIDE (“WIDE CPR TODAY”)
// • Trade filtering: Wide CPR days are blocked from new entries
// • Pivot-based Support & Resistance (R1–R5, S1–S5, optional historical)
// • Developing CPR and Developing R1 / S1 levels
// • Previous Session High/Low with optional shaded zones
// • Dual Donchian Channels with auto-alignment coloring
// • Anchored Day-Open VWAP
// • Initial Balance (first hour range)
// • CPR + ATR + EMA + Fundamentals information table
// • Integrated 1H Call & Put breakout strategy with Supertrend, ADX,
// ATR trailing stop, targets, gap handling and time filters
//
// This script is designed as a single dashboard combining market bias,
// volatility, structure, and execution logic in one indicator.
// --------------------------------------------------------------------
NQ 5x Daily SessionsThis indicator automatically plots horizontal lines for the Daily Open as well as four of the most significant trading milestones of the day (CET/Berlin time). It helps you instantly identify psychological price levels and institutional opening marks directly on your chart.
Features:
Key Time Stamps: Automatic lines for the daily opening price and specific session opens at 08:00 (Frankfurt/Pre-Market), 10:00, 14:00, and 15:30 (NYSE Open).
Fully Customizable:
Control line thickness, label visibility, and the extension of current intraday lines via the settings menu.
Trading Application:
These levels often act as significant Support & Resistance during intraday trading. The 08:00 and 15:30 marks, in particular, frequently represent turning points or the start of strong trends, as trading volume spikes significantly during these windows.
Rejection Block StrategiyaRejection Block Strategy. This indicator draws rejection blocks on the chart based on the strategy explained by VerumTrader. You can use the default settings or change the settings.
Institutional Alpha Vector | D_QUANT Institutional Alpha Vector | D_QUANT
Overview
The Institutional Alpha Vector (IAV) is an original trend-following framework that replaces single-indicator bias with a Weighted Composite Score . Instead of relying on a simple moving average, this script aggregates four distinct quantitative dimensions—Price, Momentum, Volatility, and Volume—into a normalized value called the "Alpha Vector."
The goal of this tool is to identify "Institutional Consensus"—periods where multiple mathematical models align in the same direction, reducing the likelihood of false breakouts in choppy markets.
How It Works: The Quantitative Engines
The script calculates four independent signals. For each module, a state is stored (1 for Bullish, -1 for Bearish, 0 for Neutral).
1. Price Filter (Hull Moving Average):
The script uses an HMA (a weighted moving average that reduces lag by using the square root of the period). A signal is triggered when the price crosses over/under this "Spine."
2. Volatility Regime (RMA + ATR):
This module uses a Moving Average (RMA) combined with an Average True Range (ATR) offset. It acts as a volatility filter that price must move beyond 1 ATR from the mean to register a trend, ensuring the market isn't just "drifting."
3. Momentum Physics (ADX/DMI):
Based on J. Welles Wilder’s Directional Movement Index. It checks if the is above (or vice versa) but only if the ADX (Average Directional Index) is above a user-defined threshold (default: 10), confirming the presence of a strong trend.
4. Institutional Flow (Chaikin Money Flow):
This confirms price action with volume. It calculates the accumulation/distribution of money flow over a specific period. A signal is only valid if the CMF is positive (Bullish) or negative (Bearish).
The Alpha Vector Calculation
This is the core "originality" of the script. The indicator takes the active modules and calculates a Composite Score :
This results in a value between -1.0 and +1.0 .
* High Confidence Long: When the score exceeds +0.1 (adjustable).
* High Confidence Short: When the score drops below -0.1 (adjustable).
* Neutral Zone: When the score is near 0, the script colors the bars grey, signaling a lack of institutional consensus.
Visual Intelligence: The "Electric Conduit"
The script visualizes market energy through a custom rendering engine:
* The Spine: A central line representing the HMA trend.
* The Conduit (Fill): A dynamic gradient that expands or contracts based on the ATR (Average True Range) . This allows traders to see "volatility expansion" (wide ribbon) vs "compression" (tight ribbon) at a glance.
* Bar Coloring : Automatically aligns the chart candles with the Alpha Vector state to remove cognitive load.
How to Use
1. Define your Strategy: In the settings, you can toggle specific modules. If you are trading a low-volume asset, you might disable the **CMF** module.
2. Identify the Consensus: Look for the ribbon to change from Grey (Neutral) to Cyan/Gold.
3. Monitor the HUD: A small dashboard in the bottom right displays the live Alpha Vector score. A score of 1.0 means all four engines are in 100% bullish agreement.
Disclaimer: Trading involves significant risk. This tool is for educational and analytical purposes and does not constitute financial advice.
Cycle & Flow Indicator - D_QuantCycle & Flow Architecture (CFA) | Multi-Factor Regime Analysis
Overview
The Cycle & Flow Architecture (CFA) is a trend-following visualization engine that utilizes a triple-confirmation "Voting Mechanism" to identify market regimes. Rather than relying on a single lagging indicator, the CFA aggregates Cyclical Momentum, Directional Bias, and Volume Flow from the Daily timeframe to provide a unified consensus signal on your current chart.
The goal of this script is to filter market noise by requiring a quantitative agreement between three non-correlated mathematical models before a "Regime Change" is visualized.
The Quantitative Logic
The core of the CFA is its Aggregation Engine, which calculates a normalized Quant Score ranging from -1.0 to +1.0. The engine polls three distinct components:
Schaff Trend Cycle (STC): This component identifies the cyclical nature of price. It applies a double-smoothed stochastic process to a MACD line. In this script, the STC contributes a bullish signal when the cycle is above 25 and a bearish signal when the cycle is below 75 and falling.
Parabolic SAR (PSAR): Used as a rigid directional filter. It calculates the "Stop and Reverse" points, if the price is above the PSAR, it contributes a +1 to the consensus, if below, a -1.
Ease of Movement (EOM): This is the volume-validation component. It analyzes the relationship between price change and volume. A positive EOM suggests price is moving up on light resistance (conviction), while negative EOM suggests easy downward movement.
How it Works: The Voting Mechanism
The script calculates these three values on the Daily (D) timeframe using request.security to ensure higher-timeframe confluence.
Bullish Regime: Triggered when the average score exceeds the Bullish Threshold (Default: 0.2).
Bearish Regime: Triggered when the average score falls below the Bearish Threshold (Default: -0.2).
Neutral Regime: When the components disagree or the scores hover near zero, the engine renders a "Grey" noise state, signaling a high-probability "sit on hands" environment.
How to Use
The Ghost Cloud: The central Hull Moving Average (HMA 20) acts as the baseline. The "cloud" fills between this baseline and the price, colored by the current Score.
Volatility Extensions: The script plots ATR-based bands (14-period) that only appear during confirmed regimes. In a Bullish regime, the upper band appears, in a Bearish regime, the lower.
Trade Execution: Traders typically look for the "Bullish/Bearish Start" alerts to signal the beginning of a new regime and use the "Grey" neutral zones to tighten stop-losses or exit positions.
Settings
Thresholds: Increase the Bullish/Bearish thresholds (e.g., to 0.5) to require more stringent agreement between the STC, PSAR, and EOM.
Timeframe Note: The calculations are hardcoded to the Daily timeframe to provide a "North Star" directional bias regardless of whether you are viewing the 15m or 4h chart.
Disclaimer: This tool is for educational and analytical purposes only. Quantitative models represent mathematical probabilities, not guarantees.
© D_QUANT
CRT Master 974 par GUIROA Stephane [ULTIMATE MTF + HTF SWEEP]"CRT Master Blueprint ". This indicator is designed to display multi-timeframe levels from user-defined timeframes and highlight certain trading signals within a specified session.
Multi-Timeframe Configuration
1.Input Timeframes: Users can input three separate timeframes (e.g., 30 minutes, 60 minutes, 240 minutes).Each timeframe is assigned an option to be displayed or hidden, along with a customizable color.
2.Display Options: Each timeframe can be toggled on or off, with corresponding colors set in the input parameters.
Level Retrieval Function
3.Getting Levels: The get_crt_levels function retrieves high, low, and close values from the previous bar of a specified timeframe.pinescript
Drawing Levels
4.Drawing Levels Function: The draw_levels function visuals the high, low, and mid levels with different styles (dashed and dotted lines) and labels on the chart based on whether the respective timeframes' options are enabled.
6.Dashboard: A small table displays the status of the indicator (active or inactive) and the primary timeframe on the chart.
Summary
In summary, this indicator is helpful for traders who want to visually analyze multiple timeframe levels and receive signals based on specific price action within a defined session. The use of customizable parameters allows for flexibility in adapting to different trading strategies or preferences.
London Hi/Lo/50%Simple London range with 50% level and stop loss 4 points above or below London range Hi/Lo. Inspired by trader Kane's strategy. Built by clawd
Precision Multi-Dimensional Signal System V2Precision Multi-Dimensional Signal System (PMSS) - Technical Documentation
Overview and Philosophical Foundation
The Precision Multi-Dimensional Signal System (PMSS) represents a systematic approach to technical analysis that integrates four distinct analytical dimensions into a cohesive trading framework. This script operates on the principle that market movements are best understood through the convergence of multiple independent analytical methods, rather than relying on any single indicator in isolation.
The system is designed to function as a multi-stage filtering funnel, where potential trading opportunities must pass through successive layers of validation before generating actionable signals. This approach is grounded in statistical theory suggesting that the probability of accurate predictions increases when multiple uncorrelated analytical methods align.
Integration Rationale and Component Synergy
1. Trend Analysis Layer (Dual Moving Average System)
Components: SMA-50 and SMA-200
Purpose: Establish primary market direction and filter against counter-trend signals
Integration Rationale:
SMA-50 provides medium-term trend direction
SMA-200 establishes long-term trend context
The dual-MA configuration creates a trend confirmation mechanism where signals are only generated in alignment with the established trend structure
This layer addresses the fundamental trading principle of "following the trend" while avoiding the pitfalls of single moving average systems that frequently generate whipsaw signals
2. Momentum Analysis Layer (MACD)
Components: MACD line, signal line, histogram
Purpose: Detect changes in market momentum and identify potential trend reversals
Integration Rationale:
MACD crossovers provide timely momentum shift signals
Histogram analysis confirms momentum acceleration/deceleration
This layer acts as the primary trigger mechanism, initiating the signal evaluation process
The momentum dimension is statistically independent from the trend dimension, providing orthogonal confirmation
3. Overbought/Oversold Analysis Layer (RSI)
Components: RSI with adjustable threshold levels
Purpose: Identify potential reversal zones and market extremes
Integration Rationale:
RSI provides mean-reversion context to momentum signals
Extreme readings (oversold/overbought) indicate potential exhaustion points
This layer prevents entry at statistically unfavorable price levels
The combination of momentum (directional) and mean-reversion (cyclical) indicators creates a balanced analytical framework
4. Market Participation Layer (Volume Analysis)
Components: Volume surge detection relative to moving average
Purpose: Validate price movements with corresponding volume activity
Integration Rationale:
Volume confirms the significance of price movements
Volume surge detection identifies institutional or significant market participation
This layer addresses the critical aspect of market conviction, filtering out low-confidence price movements
Synergistic Operation Mechanism
The script operates through a sequential validation process:
Stage 1: Signal Initiation
Triggered by either MACD crossover or RSI entering extreme zones
This initial trigger has high sensitivity but low specificity
Multiple trigger mechanisms ensure the system remains responsive to different market conditions
Stage 2: Trend Context Validation
Price must be positioned correctly relative to both SMA-50 and SMA-200
For buy signals: Price > SMA-50 > SMA-200 (bullish alignment)
For sell signals: Price < SMA-50 < SMA-200 (bearish alignment)
This layer eliminates approximately 40-60% of potential false signals by enforcing trend discipline
Stage 3: Volume Confirmation
Must demonstrate above-average volume participation (configurable multiplier)
Volume surge provides statistical confidence in the price movement
This layer addresses the "participation gap" where price moves without corresponding volume
Stage 4: Signal Quality Assessment
Each condition contributes to a quality score (0-100)
Higher scores indicate stronger multi-dimensional alignment
Quality rating helps users differentiate between marginal and high-conviction signals
Original Control Mechanisms
1. Signal Cooldown System
Purpose: Prevent signal overload and encourage trading discipline
Mechanism:
After any signal generation, the system enters a user-defined cooldown period
During this period, no new signals of the same type are generated
This reduces emotional trading decisions and filters out clustered, lower-quality signals
Empirical testing suggests optimal cooldown periods vary by timeframe (5-10 bars for daily, 10-20 for 4-hour)
2. Visual State Tracking
Purpose: Provide intuitive market phase identification
Mechanism:
After a buy signal: Subsequent candles are tinted light blue
After a sell signal: Subsequent candles are tinted light orange
This creates a visual "holding period" reference
Users can quickly identify which system state is active and for how long
Practical Implementation Guidelines
Parameter Configuration Strategy
Timeframe Adaptation:
Lower timeframes: Increase volume multiplier (2.0-3.0x) and use shorter cooldown periods
Higher timeframes: Lower volume requirements (1.5-2.0x) and extend confirmation periods
Market Regime Adjustment:
Trending markets: Emphasize trend alignment and MACD components
Range-bound markets: Increase RSI sensitivity and enable volatility filtering
Signal Level Selection:
Level 1: Suitable for active traders in high-liquidity markets
Level 2: Balanced approach for most market conditions
Level 3: Conservative setting for high-probability setups only
Risk Management Integration
Use quality scores as position sizing guides
Higher quality signals (Q≥80) warrant standard position sizes
Medium quality signals (60≤Q<80) suggest reduced position sizing
Lower quality signals (Q<60) recommend caution or avoidance
Empirical Limitations and Considerations
Statistical Constraints
No trading system guarantees profitability
Historical performance does not predict future results
System effectiveness varies by market conditions and timeframes
Maximum historical win rates in backtesting range from 55-65% in optimal conditions
Market Regime Dependencies
Strong Trending Markets: System performs best with clear directional movement
High Volatility/Ranging Markets: Increased false signal probability
Low Volume Conditions: Volume confirmation becomes less reliable
User Implementation Requirements
Time Commitment: Regular monitoring and parameter adjustment
Market Understanding: Basic knowledge of technical analysis principles
Discipline: Adherence to signal rules and risk management protocols
Technical Validation Framework
Backtesting Methodology
Multi-timeframe analysis across different market conditions
Parameter optimization through walk-forward analysis
Out-of-sample validation to prevent curve fitting
Performance Metrics Tracked
Win rate percentage across different signal qualities
Average win/loss ratio per signal category
Maximum consecutive wins/losses
Risk-adjusted return metrics
Innovative Contributions
Multi-Dimensional Scoring System
Original quality scoring algorithm weighting each dimension appropriately
Dynamic adjustment based on market conditions
Visual representation through signal labels and information panel
Integrated Information Dashboard
Real-time display of all system dimensions
Color-coded status indicators for quick assessment
Historical context for current signal generation
Adaptive Filtering Mechanism
Configurable strictness levels without code modification
User-adjustable sensitivity across all dimensions
Preset configurations for different trading styles
Conclusion and Appropriate Usage
The PMSS represents a sophisticated but accessible approach to multi-dimensional technical analysis. Its strength lies not in predictive accuracy but in systematic risk management through layered confirmation. Users should approach this tool as:
A Framework for Analysis: Rather than a black-box trading system
A Decision Support Tool: To be combined with fundamental analysis and market context
A Learning Instrument: For understanding how different analytical dimensions interact
The most effective implementation combines this technical framework with sound risk management principles, continuous learning, and adaptation to evolving market conditions. As with all technical tools, success depends more on the trader's discipline and judgment than on the tool itself.
Disclaimer: This documentation describes the technical operation of the PMSS indicator. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should thoroughly test any trading system in a risk-free environment before committing real capital.
Trendlines with Breaks + Fib Lines ONLY15min and 3min fib line already marked 15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked
RSI Momentum LockConcept & Philosophy This indicator is a unique hybrid trend-following system that combines the momentum power of RSI with the visual simplicity of the SuperTrend. Unlike standard indicators that flip constantly during choppy markets, the RSI Momentum Lock uses a "State Machine" logic to capture and hold strong trends.
How It Works The indicator creates a "Trend Lock" based on RSI breakout levels:
Bullish Lock (Green): Triggered ONLY when RSI closes above 70 (Overbought Breakout). The trend remains bullish even if RSI falls back to neutral levels (50-60), filtering out minor corrections.
Bearish Lock (Red): Triggered ONLY when RSI closes below 30 (Oversold Breakdown). The trend remains bearish until a new bullish breakout occurs.
Visuals The plot looks like a SuperTrend, calculated using ATR (Average True Range) to provide a dynamic Trailing Stop line.
Green Line: Support level during an uptrend.
Red Line: Resistance level during a downtrend.
Why Use This Indicator?
Filters Noise: It ignores sideways movement between RSI 30 and 70.
Early Entry: Catches the momentum explosion right at the breakout.
Longer Rides: Keeps you in the trade longer than traditional SuperTrends.
Settings
RSI Length: Default is 14.
Levels: Default triggers are 70 (Buy) and 30 (Sell).
ATR Factor: Controls the distance of the line from the price (Default 3.0).
الفكرة والفلسفة (Concept & Philosophy)
هذا المؤشر هو نظام اتجاه هجين فريد يجمع بين قوة زخم مؤشر RSI والبساطة البصرية لمؤشر SuperTrend.
على عكس المؤشرات التقليدية التي تغيّر اتجاهها باستمرار في الأسواق العرضية (المتذبذبة)، يعتمد مؤشر RSI Momentum Lock على منطق آلة الحالات (State Machine) لالتقاط الاتجاهات القوية والاحتفاظ بها لأطول فترة ممكنة.
كيف يعمل المؤشر؟ (How It Works)
يقوم المؤشر بإنشاء ما يُعرف بـ قفل الاتجاه (Trend Lock) بناءً على اختراقات مؤشر RSI:
قفل صاعد (Bullish Lock – أخضر)
يتم تفعيله فقط عندما يغلق مؤشر RSI أعلى مستوى 70 (اختراق تشبع شرائي).
يظل الاتجاه صاعدًا حتى لو عاد RSI إلى مناطق محايدة (50 – 60).
هذا الأسلوب يمنع الخروج المبكر بسبب التصحيحات البسيطة.
قفل هابط (Bearish Lock – أحمر)
يتم تفعيله فقط عندما يغلق مؤشر RSI أسفل مستوى 30 (اختراق تشبع بيعي).
يظل الاتجاه هابطًا حتى يحدث اختراق صاعد جديد.
يساعد على تجنب الإشارات الكاذبة أثناء التذبذب.
الشكل البصري (Visuals)
يظهر المؤشر بصريًا بشكل مشابه لـ SuperTrend، ويتم حسابه باستخدام ATR (متوسط المدى الحقيقي) لإنشاء خط وقف متحرك ديناميكي:
الخط الأخضر: مستوى دعم أثناء الاتجاه الصاعد.
الخط الأحمر: مستوى مقاومة أثناء الاتجاه الهابط.
لماذا تستخدم هذا المؤشر؟ (Why Use This Indicator?)
فلترة الضوضاء: يتجاهل الحركة العرضية عندما يكون RSI بين 30 و70.
دخول مبكر: يلتقط انفجار الزخم مباشرة عند الاختراق الحقيقي.
صفقات أطول: يبقيك داخل الصفقة لفترة أطول مقارنة بمؤشرات SuperTrend التقليدية.
الإعدادات (Settings)
طول RSI: القيمة الافتراضية 14
المستويات:
شراء: 70
بيع: 30
عامل ATR: يحدد بُعد الخط عن السعر (القيمة الافتراضية 3.0)
