Neeson Trend Price Oscillator Pulse EditionNeeson Trend Price Oscillator Pulse Edition: A Comprehensive Market Cycle Analysis Tool
Overview and Purpose
The Trend Price Oscillator Pulse Edition is a sophisticated technical analysis indicator designed to identify major market cycle tops and bottoms. This tool operates as a standalone oscillator in a subchart, providing clear visual signals of overbought and oversold conditions within the context of long-term market cycles. Developed for position traders and long-term investors, it focuses on capturing significant market turning points rather than short-term fluctuations.
Integration Rationale and Component Synergy
The indicator integrates three core analytical concepts into a cohesive system:
Detrended Price Oscillator (DPO) Foundation: Traditional DPO methodology isolates cyclical price movements by removing the underlying trend component. This creates a clearer view of oscillatory behavior without the distortion of long-term directional bias.
Normalization Framework: By converting raw DPO values to a standardized 0-100 scale, the indicator establishes consistent reference points for market extremes across different instruments and timeframes. This normalization enables meaningful comparison of oscillator readings regardless of absolute price levels.
Dynamic Threshold System: The implementation of adjustable threshold levels (default: 95% for overbought, 5% for oversold) creates adaptive boundaries that respond to changing market volatility and cycle characteristics.
These components work synergistically: The DPO extracts cyclical information from price action, the normalization process standardizes this information for consistent interpretation, and the threshold system provides actionable decision points based on historical extremes.
Operational Mechanism
The indicator calculates a detrended price value by comparing current price against a displaced moving average. This detrended value is then normalized against its historical range over a specified lookback period, transforming it into a percentage-based oscillator. A smoothing filter is applied to reduce noise and highlight significant movements.
The oscillator's movement through threshold zones generates four distinct market signals:
Entry into overbought territory (crossing above 95%)
Exit from overbought territory (crossing below 95%)
Entry into oversold territory (crossing below 5%)
Exit from oversold territory (crossing above 5%)
Each signal corresponds to a specific market condition hypothesis regarding institutional versus retail trader dynamics in major market cycles.
Practical Application Guidelines
Primary Use Cases:
Identification of potential major cycle turning points on weekly and monthly timeframes
Confirmation tool for existing trading strategies requiring cycle analysis
Risk management through recognition of extreme market conditions
Interpretation Framework:
Overbought Conditions (Oscillator ≥ 95%): Suggest potential selling pressure from major market participants. Consider reducing long exposure or implementing protective measures.
Oversold Conditions (Oscillator ≤ 5%): Indicate potential accumulation zones by institutional buyers. Consider establishing or adding to long positions using dollar-cost averaging strategies.
Threshold Crossings: Monitor for exits from extreme zones as potential confirmation that a cycle peak or trough may have formed.
Parameter Considerations:
Default parameters (548-period oscillator, 274-period offset, 1096-period lookback) are optimized for identifying major market cycles. Users may adjust these values for different market conditions or timeframes, though significant parameter changes will alter the indicator's sensitivity and signal frequency.
Originality and Distinctive Features
This implementation incorporates several innovative aspects:
Extended Cycle Focus: Unlike most oscillators designed for shorter timeframes, this tool employs exceptionally long calculation periods specifically for identifying primary market cycles.
Dynamic Normalization: The lookback-based normalization adapts to changing market conditions without requiring manual recalibration.
Multi-Signal Alert System: Four distinct alert conditions provide nuanced information about market state transitions rather than simple binary signals.
Integrated Risk Context: Each signal includes contextual information about potential market participant behavior, encouraging disciplined risk management.
Empirical Considerations and Limitations
The indicator provides probabilistic assessments based on historical price behavior, not predictive certainties. Market conditions may change, rendering historical patterns less reliable. Users should consider:
The indicator performs best in trending or cyclical markets; it may generate false signals during extended range-bound periods.
No technical indicator, including this one, can guarantee future market movements.
Proper position sizing and risk management should accompany all trading decisions, regardless of indicator signals.
Expected User Outcomes
When used as part of a comprehensive trading plan, this indicator can help users:
Identify potential reversal zones in major market cycles
Develop patience by focusing on significant rather than frequent trading opportunities
Maintain objective perspective during market extremes through quantitative assessment
Coordinate entry and exit timing with cycle analysis
The Trend Price Oscillator Pulse Edition represents a specialized tool for traders seeking to align their strategies with major market cycles through systematic analysis of price oscillation behavior relative to long-term trends.
תבניות גרפים
Neeson RSI Divergence DetectorIntegrating Multi-Indicator Strategies: A Rational Approach to Technical Analysis Tools
Introduction
The integration of multiple technical indicators into a unified trading script represents a sophisticated approach to market analysis, combining complementary analytical methods to enhance decision-making. This article outlines the rational basis for combining specific indicators, explains their synergistic operation, and provides practical guidance for users seeking to understand the functional utility, operational mechanics, and unique value proposition of integrated technical analysis tools.
Functional Purpose and Rational Integration Basis
Integrated technical scripts are designed to address the inherent limitations of single-indicator analysis by combining multiple analytical perspectives. The rational basis for integration typically follows these principles:
Complementary Signal Validation: Different indicators measure distinct market characteristics (momentum, volatility, trend strength, etc.). Their combination allows cross-validation of signals, reducing false positives inherent in single-indicator systems.
Multi-Timeframe Confirmation: Integrated scripts often incorporate elements that analyze price action across different temporal dimensions, providing a more comprehensive market perspective.
Risk Management Enhancement: By combining overbought/oversold indicators with trend confirmation tools, these scripts help identify not only entry opportunities but also potential risk zones.
Market Phase Adaptation: Different market conditions (trending, ranging, volatile) favor different indicator types. Integrated approaches maintain relevance across varying market environments.
Synergistic Operational Mechanism
The components of well-designed integrated scripts operate through several synergistic mechanisms:
Primary Trend Identification: Core trend-following indicators establish the dominant market direction, serving as a filter for other signals. This prevents counter-trend entries that might otherwise be generated by oscillators or momentum indicators.
Momentum Confirmation: Oscillator-based components (like RSI or Stochastic) validate the strength of the identified trend, distinguishing between healthy retracements and potential reversals.
Divergence Detection: By comparing price action with momentum indicators, these scripts identify subtle shifts in market dynamics that often precede trend changes.
Volatility Adjustment: Volatility-based components dynamically adjust signal thresholds and position sizing recommendations based on current market conditions.
Multi-Layer Filtering: Each signal passes through successive validation layers, with only the strongest, most confirmed signals triggering alerts or visual markers.
Practical Application Guidance
Users can maximize the utility of integrated scripts through these practical approaches:
Parameter Customization: Adjust indicator periods and thresholds to match the characteristics of specific trading instruments and timeframes. Historical testing can identify optimal settings for particular markets.
Signal Hierarchy Interpretation: Learn to distinguish between primary signals (strongly confirmed across multiple indicators) and secondary signals (weaker confirmation) for appropriate position sizing.
Contextual Analysis: Consider integrated signals within the broader market context, including support/resistance levels, volume patterns, and fundamental developments.
Performance Correlation: Monitor how different market conditions affect script performance. Some configurations may excel in trending markets while others perform better in ranging conditions.
Risk Calibration: Use the multi-indicator confirmation to calibrate stop-loss and take-profit levels, with tighter parameters for strongly confirmed signals and wider parameters for weaker ones.
Originality and Value Proposition
The originality of well-designed integrated scripts manifests in several dimensions:
Unique Combination Logic: The specific selection and weighting of indicators, along with their integration methodology, represents intellectual value distinct from simple indicator stacking.
Innovative Signal Processing: Advanced scripts often incorporate proprietary algorithms for signal filtering, noise reduction, or probability weighting not found in standard indicators.
Adaptive Framework: Some scripts dynamically adjust their analytical approach based on changing market conditions, representing a form of artificial market intelligence.
Visualization Innovation: The presentation of complex multi-indicator data in an intuitive, actionable format constitutes significant user interface originality.
Empirical Limitations and Responsible Use
It is crucial to maintain realistic expectations regarding integrated technical scripts:
No Predictive Certainty: These tools analyze probabilities, not certainties. No combination of historical price indicators can guarantee future price movements.
Market Efficiency Limitations: All technical analysis operates within the constraints of market efficiency, with script effectiveness varying across different market conditions and time periods.
Complementary Role: Integrated scripts should complement, not replace, comprehensive trading strategies including risk management, fundamental analysis, and market knowledge.
Continuous Evaluation: Regular performance assessment against established benchmarks helps maintain realistic expectations and identifies when script adjustments may be necessary.
Conclusion
The thoughtful integration of multiple technical indicators represents a logical evolution in analytical methodology, addressing the limitations of single-indicator approaches through complementary validation and multi-dimensional analysis. By understanding the rational basis for integration, the synergistic operation of components, and the practical application parameters, users can employ these tools as valuable components within broader, disciplined trading approaches. The true value emerges not from predictive accuracy but from structured decision support that helps traders navigate complex market environments with greater consistency and insight.
Daily Bias Panel (with MTF Toggle)Daily Bias Panel Documentation
Overview
The Daily Bias Panel is a TradingView indicator designed to provide a structured, multi factor assessment of market direction for intraday and swing traders. It consolidates several key bias components—Prior Day levels, VWAP, Overnight High/Low, Multi Timeframe Market Structure, and an Overall Bias—into a clean, compact table. A confidence meter summarizes the combined strength of all signals.
This document explains each line item, the rules behind it, and how to interpret the panel.
1. Prior Day Bias
Definition
Compares the current price to the previous day’s high and low.
Rules
• Bullish (1): Close > Prior Day High
• Bearish (-1): Close < Prior Day Low
• Neutral (0): Price is between the prior high and low
Interpretation
This bias reflects whether the market is breaking out above or below the previous day’s range. It is a foundational directional signal.
2. VWAP Bias
Definition
Measures whether price is trading above or below the Volume Weighted Average Price.
Rules
• Bullish (1): Close > VWAP
• Bearish (-1): Close < VWAP
• Neutral (0): Price is at VWAP
Interpretation
VWAP is a widely used institutional benchmark. Trading above VWAP suggests buyers are in control; below VWAP suggests sellers dominate.
3. ONH / ONL Bias (Overnight High / Low)
Definition
Tracks the overnight session’s high and low (18:00–09:30 ET) and compares current price to those levels.
Rules
• Bullish (1): Close > Overnight High
• Bearish (-1): Close < Overnight Low
• Neutral (0): Price is inside the overnight range
Interpretation
ONH/ONL is extremely important for index futures (ES/NQ). Breaking ONH/ONL often signals strong directional intent at the RTH open.
4. Struct MTF (Market Structure Bias)
Definition
A weighted blend of market structure trends across multiple timeframes.
Modes
Swing Mode
• 4H (50%)
• 1H (30%)
• 15M (20%)
Intraday Mode
• 1H (40%)
• 15M (35%)
• 5M (25%)
Rules
Each timeframe is classified as:
• Bullish (1): Higher High + Higher Low
• Bearish (-1): Lower High + Lower Low
• Neutral (0): No clear structure
The weighted average produces a final structure score.
Interpretation
This is your trend engine. It smooths noise and provides a stable directional backbone.
5. Overall Bias
Definition
A strict agreement filter between Prior Day Bias and VWAP Bias.
Rules
• Bullish (1): Both Prior Day and VWAP are bullish
• Bearish (-1): Both are bearish
• Neutral (0): Any disagreement
Interpretation
This prevents false positives by requiring alignment between two major bias components.
6. Confidence Score
Definition
A weighted blend of all bias components:
• Prior Day (25%)
• VWAP (25%)
• ONH/ONL (20%)
• MTF Structure (30%)
Output
A normalized score between -1.00 and +1.00.
Interpretation
• +1.00: Strong bullish alignment across all systems
• -1.00: Strong bearish alignment
• 0.00: Mixed or unclear conditions
7. Confidence Meter (10 Square Visual)
Definition
A visual representation of the confidence score.
Rules
• 0–10 squares filled based on absolute confidence
• Color reflects direction (green/red/yellow)
Interpretation
A quick glance gauge of trend strength.
8. Debug Mode (Optional)
Purpose
Displays all underlying levels and bias markers directly on the chart.
Includes
• Prior High / Low
• VWAP
• ONH / ONL
• Confidence Score line
• Bias markers (P, V, O, M)
Use Case
Great for verifying logic, backtesting visually, and understanding how each component behaves.
9. Panel Layout & Spacing
Top Left Spacer System
When the panel is placed in the top left corner, a 3 row spacer pushes it below the chart header and indicator dropdown.
Panel Size Options
• Small
• Medium
• Large
These adjust font sizes and meter padding.
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Summary
The Daily Bias Panel is a compact, multi factor decision tool that blends:
• Prior Day context
• VWAP positioning
• Overnight session dynamics
• Multi timeframe trend structure
• A strict overall bias filter
• A confidence scoring engine
Together, these components give traders a clear, structured view of market direction and strength.
This documentation should serve as a complete reference for understanding, using, and publishing the indicator.
Gap Hunter Pro [Auto-Alerts + Fill Detection]Gap trading is profitable, but staring at charts waiting for a fill is tedious.
Gap Hunter Pro automates the process by instantly detecting valid gaps, drawing dynamic support/resistance zones, and alerting you exactly when action happens. Unlike standard gap indicators, this script manages the lifecycle of the gap—tracking it from creation to partial entry, and finally removing it once it is fully filled.
Key Features:
🚀 Smart Detection: Automatically finds "Gap Ups" and "Gap Downs" based on your custom threshold (filter out small noise).
🔔 Dual Alerts:
Entry Alert: Get notified the moment price touches the gap zone.
Fill Alert: Get a second notification when the gap is 100% closed (filled).
🧹 Auto-Cleanup: Zones automatically delete themselves from the chart once filled, keeping your workspace clean.
🎨 Fully Customizable: Control colors, border thickness, history depth, and text labels.
How to Use:
Add to Chart: Works on any timeframe (15m recommended for Day Trading, Daily for Swing).
Adjust Settings: Set "Max Gaps to Keep" to control history depth.
Set the Alert (Crucial):
Click the Alert button in TradingView.
Condition: Select Gap Hunter Pro.
Action: Select "Any alert() function call".
You now have a fully automated gap scanner running 24/7.
Peak Trading Activity Graphs [LuxAlgo]The Peak Trading Activity Graphs displays four graphs that allow traders to see at a glance the times of the highest and lowest volume and volatility for any month, day of the month, day of the week, or hour of the day. By default, it plots the median values of the selected data for each period. Traders can enable the Median Delta feature to further highlight differences in the data. The graphs are customizable in width and height and feature gradient colors by default.
🔶 USAGE
The tool is simple yet powerful. Using the three main parameters on the settings panel, traders can display up to four different graphs and up to 16 different configurations.
There are two main types of data: volume and volatility. There are also four different time periods: months, days of the month, days of the week, and hours of the day. There is also the possibility of displaying the raw medians or the delta between them.
Understanding which time periods have the most and least volume and volatility is essential for any trader. From avoiding trading during periods of low volume to properly sizing positions during periods of high volatility, there are multiple use cases directly related to improving execution and risk management.
🔹 Months
This chart shows the monthly volume and volatility of NQ as medians at the top and as the delta of medians at the bottom.
As we can see on the left-hand chart, the volume is fairly consistent throughout the year. January, March, and October have the highest volume, and December has the lowest volume for obvious reasons. Note the bottom chart with the delta feature enabled, which clearly shows the top and bottom periods.
On the right, we have volatility, which is also evenly distributed throughout most months. October is the most volatile month, and March is the least volatile month. The differences are also very clear on the bottom chart with delta enabled.
Traders may want to compare median volatility and volume by month to size positions and favor exposure during historically high-activity months.
🔹 Days of Month
The same NQ charts are shown, but in this case, the Days of Month period has been selected. As you can see, this displays a calendar-like graph. The volume is on the left, the volatility is on the right, and the delta feature is enabled on the bottom charts. This feature allows for stronger differences in gradient.
The top charts show that the raw medians of both volume and volatility are evenly distributed. We need to enable the delta feature on the bottom charts to see where the most and least volume and volatility are.
Traders can use median activity by calendar day to anticipate liquidity expansions or contractions and adjust trade frequency.
🔹 Days of Week
In this case, we have BTC charts with the same layout as before. Notably, the difference in volume on weekends is not as pronounced from a volatility perspective on those same days.
A practical use case can be differentiate high-risk, high-participation weekdays from low-activity sessions to select trend or range-based strategies.
🔹 Hours of Day
This shows the volume and volatility of each hour of the day for gold futures. As we can see, the most volume and volatility occur during the three hours around the RTH open at 8:00, 9:00, and 10:00 a.m.
Traders may want to isolate hours with the highest median volatility and volume to concentrate execution and avoid low-liquidity periods.
🔹 Assets Comparison
This tool allows us to compare different assets over the same period. In this case, we are comparing the hours of the day for 10-year notes, the S&P 500, silver, and the yen. Each asset has a different volatility profile throughout the day.
With the Delta feature enabled, we can clearly see the differences. The 10Y Notes move from 7:00 to 9:00 and from 2:00 to 9:00. The Yen moves from 7:00 to 9:00 and from 2:00 to 9:00. Silver moves from 8:00 to 10:00. The S&P 500 moves from 8:00 to 9:00 and from 14:00 to 15:00. All times are in exchange time.
🔹 Sizing & Coloring Graphs
Traders can adjust the width and height of the graphs, as well as the text size, at will.
Traders can choose from four different color configurations in the settings panel.
🔶 SETTINGS
Data: Select the type of data to display: Volume or Volatility.
Period: Select the time period to display: Month, Day of Month, Day of Week, or Hours.
Display delta between medians. Display the difference between the medians as a percentage. The smaller median is 0 and the larger median is 100. Enabling this feature highlights the differences between values.
🔹 Graph
Graph: Select the graph location.
Size: Select the graph size.
Width: Select the graph width.
Height: Select the height of the graph.
🔹 Style
Colors: Select a color map: Viridis, Plasma, Magma, or Custom.
Custom Cold: Select a custom color for cold (low values).
Custom Lukewarm: Select a custom color for lukewarm (medium values).
Custom Hot: Select a custom color for hot (high values).
bitcoin Multi-Timeframe Trend Analysis Toolbitcoin Multi-Timeframe Trend Analysis Tool: A Comprehensive Guide for Market Cycle Identification
Introduction
The Multi-Timeframe Trend Analysis Tool is a sophisticated technical indicator designed to help traders identify critical market phases across different time horizons. This tool synthesizes multiple established technical analysis concepts into a unified framework, specifically optimized for high-volatility markets such as cryptocurrencies and alternative coins (altcoins). By integrating trend-following, momentum, and mean-reversion principles, it provides visual cues for strategic entry and exit points throughout market cycles.
Core Philosophy and Integration Rationale
The indicator's design philosophy centers on the principle that different market phases require different analytical approaches. Rather than relying on a single indicator, which often produces false signals during complex market conditions, this tool combines multiple technical components that complement each other's strengths and compensate for individual weaknesses.
The integration follows a logical hierarchy:
Trend Identification through multiple EMA periods establishes the market's primary direction
Momentum Confirmation via multiple MACD configurations validates trend strength and potential reversals
Multi-timeframe Alignment ensures signals are significant across both short-term and long-term perspectives
This layered approach reduces the likelihood of whipsaws and increases the statistical significance of generated signals.
Component Synergy and Operational Mechanics
1. EMA System: The Trend Foundation
The tool employs six Exponential Moving Averages organized into two groups:
Long-term EMA Group (200, 300, 700 periods):
The 200-period EMA serves as the primary trend baseline
The 300-period EMA provides confirmation of the longer-term direction
The 700-period EMA represents the "macro trend" and helps identify major cycle shifts
Medium-term EMA Group (18, 36, 63 periods):
These shorter EMAs capture intermediate trend dynamics
The relationship between these EMAs helps identify acceleration or deceleration in trend momentum
The EMA system works by comparing relationships between different period lengths. For instance, when shorter EMAs are positioned below longer EMAs, it confirms a bearish trend structure, while the opposite configuration suggests bullish momentum.
2. Multi-Period MACD System: Momentum and Divergence Detection
The tool implements three separate MACD configurations, each serving a distinct purpose:
Bottom MACD (168/364/6 periods):
Designed to capture long-term momentum shifts at potential market bottoms
The extended periods (168 and 364) filter out short-term noise while highlighting significant trend changes
Particularly effective at identifying oversold conditions during prolonged downtrends
Top MACD (108/234/9 periods):
Optimized for detecting momentum deterioration at potential market tops
The period selection is based on historical analysis of bull market cycles
Helps identify when bullish momentum is weakening before price action clearly reverses
Local Top MACD (9/36/9 periods):
Functions as an early warning system for short-term corrections
Particularly useful for swing traders and risk management
Can help identify profit-taking opportunities during ongoing trends
The three MACDs operate independently but collectively provide a comprehensive view of momentum across different time horizons. When multiple MACDs simultaneously show confirming signals, the reliability of the indication increases significantly.
3. Signal Generation Logic: Conditional Framework
Signals are generated only when multiple conditions align across different components:
Accumulation Zone Conditions:
Requires both trend alignment (200 EMA below 300 EMA) AND either:
Price trading at a significant discount to the 200 EMA (suggesting oversold conditions), OR
The 200 EMA itself declining sharply (confirming bearish momentum exhaustion)
This dual requirement prevents false accumulation signals during healthy downtrends
Strong Buy Zone Conditions:
Includes all accumulation zone requirements PLUS:
Sharp decline in the 36-period EMA (suggesting panic or capitulation)
Accelerated decline in the 200 EMA (confirming bearish exhaustion)
This represents a higher-conviction signal with multiple confirming factors
Potential Bull Market Top Conditions:
Requires the 700 EMA to be rising sharply (confirming extended bullish trend) AND
Top MACD showing bearish divergence (momentum weakening) AND
Short-term EMA alignment still bullish (indicating the top is forming amid strength)
This combination helps distinguish between minor corrections and major trend reversals
Local Top Warning Conditions:
Triggered when the 700 EMA shows accelerated gains (potential euphoria phase) AND
The Local Top MACD shows bearish momentum divergence
Serves as a risk management tool rather than a direct reversal signal
Practical Application and Usage Guidelines
For Long-Term Investors:
Monitor for "Accumulation Zone" signals during market downturns
Consider initiating or adding to positions during "Strong Buy Zone" signals
Use these signals for dollar-cost averaging strategies rather than timing exact bottoms
Hold through intermediate fluctuations unless "Potential Bull Market Top" signals appear
For Trend Traders:
Use EMA alignments to confirm trend direction before entering positions
Employ "Local Top Warnings" to secure profits on portions of positions
Watch for alignment between medium-term EMA direction and MACD signals for entry timing
Consider "Potential Bull Market Top" signals as reasons to reduce exposure or implement hedging strategies
For Risk Managers:
Use "Local Top Warnings" to tighten stop-losses or reduce position sizes
Monitor the relationship between price and the 200 EMA for overall market health assessment
Track multiple timeframes to distinguish between normal volatility and potential trend changes
Originality and Distinctive Features
This tool represents a novel synthesis of existing technical concepts rather than a completely new indicator. Its originality stems from:
Purpose-Specific MACD Configurations: Unlike standard MACD implementations, each of the three MACDs is optimized for a specific market condition, with period lengths derived from empirical analysis of market cycles.
Multi-Layered Confirmation Framework: Signals require alignment across trend, momentum, and rate-of-change dimensions, reducing false positives common in single-indicator systems.
Progressive Signal Hierarchy: The tool distinguishes between initial warning signals ("Local Top Warnings") and higher-conviction reversal signals ("Potential Bull Market Tops"), allowing for graduated responses.
Combination of Absolute and Relative Conditions: The logic incorporates both absolute price relationships (price vs. EMA levels) and rate-of-change metrics (EMA acceleration/deceleration), capturing both state and momentum information.
Limitations and Considerations
Lagging Nature: Like all trend-following indicators, this tool reacts to established conditions rather than predicting future movements. Early trend phases may not generate signals.
Parameter Sensitivity: The default parameters are optimized for daily cryptocurrency charts. Performance may vary across different asset classes or timeframes.
Complementary Analysis Required: This tool should be used alongside fundamental analysis, volume confirmation, and market structure considerations.
No Guarantee of Performance: Past success in identifying market phases does not ensure future accuracy. All trading involves risk, and no indicator provides certainty.
Conclusion
The Multi-Timeframe Trend Analysis Tool provides a structured approach to identifying significant market phases by integrating trend, momentum, and mean-reversion concepts across multiple time horizons. Its value lies not in predicting exact turning points but in identifying zones of increasing probability for trend changes, allowing traders to adjust their strategies accordingly. When used as part of a comprehensive trading plan with proper risk management, it can help traders navigate complex market environments with greater clarity and discipline.
The tool is particularly suited to the extended trends and pronounced cycles characteristic of cryptocurrency markets, though its principles apply across various financial instruments. As with all technical tools, its effectiveness increases with user understanding of both its mechanisms and its limitations.
Chinese Silver Price_SRC (USD/oz)This indicator converts the Chinese silver price quoted in CNY per kilogram (e.g. SHFE silver) into USD per troy ounce and overlays it directly on the XAGUSD (global silver spot) chart.
The conversion uses the real-time USD/CNY exchange rate and the standard troy ounce conversion factor.
USD/oz = (CNY/kg ÷ USD/CNY) ÷ 32.1507
Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning
Introduction
The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application.
Rationale for Multi-Indicator Integration
Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where:
Ultra-long-term EMAs establish the primary trend context
Medium-term EMA crossovers identify trend transitions
Multiple MACD configurations detect momentum shifts across different time horizons
This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements.
Component Synergy and Operational Mechanism
1. EMA Framework: The Trend Foundation
700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets.
18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion.
12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries.
12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections.
2. MACD Ensemble: Momentum Verification
Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms.
Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag.
Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks.
Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation.
3. Signal Hierarchy and Progressive Confirmation
The indicator employs a cascading confirmation logic:
Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation.
Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration.
Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals.
Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal.
Practical Application and Interpretation
Signal Classification System
Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors.
Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points.
Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections.
Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals.
Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning.
Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation.
Usage Guidelines
Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident.
Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation.
Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations.
Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors.
Limitations and Considerations
No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns.
Extraordinary market events or fundamental shifts may override technical signals.
The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions.
Signals should be interpreted in context of overall market structure and trader/investor time horizon.
Originality and Differentiation
This system represents a novel synthesis of established technical concepts through:
Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration.
Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions.
Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals.
Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts.
Empirical Foundation
The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly:
The tendency for major bottoms to form during extended periods below long-term moving averages
Characteristic momentum patterns preceding significant tops
The predictive value of specific EMA relationships during different market phases
Historical performance of multi-timeframe confirmation versus single indicators
Conclusion
The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
Professional Clean BTC ChartInstitutional Price Structure is a clean, price-focused charting tool designed to provide traders with a clear and distraction-free view of market structure, trend context, and key reference levels.
The indicator replaces default candles with neutral grayscale price bars to reduce visual noise and improve readability during high-volatility conditions. Trend direction is defined using a fast and slow exponential moving average, offering immediate context without lag-heavy complexity.
A session-based VWAP is included as a core institutional benchmark, allowing traders to quickly assess mean reversion, premium/discount zones, and intraday bias. Daily high and low levels are plotted automatically to highlight key liquidity boundaries and reaction zones commonly respected by professional participants.
This tool is intentionally minimalist—free of oscillators and signals—to support discretionary decision-making, execution precision, and price-action-based strategies across intraday and swing timeframes.
Fear Greed RangesFear Greed Ranges Indicator: A Practical Guide to Market Sentiment Analysis
Introduction: Understanding Market Psychology
The "Fear Greed Ranges" indicator is a specialized technical analysis tool designed to visualize market sentiment through the lens of the Relative Strength Index (RSI). Unlike traditional RSI displays that show only a line graph, this indicator transforms raw RSI data into intuitive, color-coded zones that immediately signal whether markets are driven by fear, greed, or balanced sentiment. By providing this visual context, it helps traders identify potential turning points and manage risk more effectively.
Rational Integration: Why RSI Forms the Core
The indicator's foundation rests on the well-established RSI oscillator, chosen for several compelling reasons. First, RSI has stood the test of time since its development by J. Welles Wilder Jr. in 1978, with decades of empirical validation across various asset classes. Second, its mathematical construction—comparing the magnitude of recent gains to recent losses—directly measures momentum, which often precedes price reversals at extremes. Third, RSI's bounded nature (0-100 range) makes it ideal for creating clearly defined zones without subjective interpretation.
The integration transforms this numerical oscillator into a spatial visualization system. Rather than simply reading RSI values, traders can immediately perceive market conditions through color psychology: red triggers caution, green suggests opportunity, and yellow indicates neutrality. This multi-sensory approach reduces cognitive load during fast-moving markets and helps overcome confirmation bias that might occur when interpreting raw numbers.
Component Synergy: How the System Works Together
The indicator comprises three interconnected layers that create a unified analytical framework:
Core Calculation Layer: The traditional RSI calculation processes price data using the specified period length (default 14 periods). This generates the fundamental sentiment metric that drives all subsequent visualizations. The RSI calculation serves as the "brain" of the indicator, continuously analyzing market momentum.
Sentiment Classification Layer: This layer applies threshold logic to categorize each RSI reading into one of three emotional states. Readings above 70 are classified as "Greed" (market potentially overbought), below 30 as "Fear" (market potentially oversold), and between 30-70 as "Neutral" (balanced market conditions). These thresholds are based on the conventional RSI interpretation framework that has been widely adopted in technical analysis.
Visual Translation Layer: The most innovative aspect transforms numerical classifications into immediate visual cues. The colored ribbon area creates a "sentiment atmosphere" around price action, while the background tint provides subtle contextual framing. Horizontal reference lines at 30, 50, and 70 offer precise anchoring points, and the floating label provides real-time status updates. These elements work in concert: the ribbon shows sentiment intensity, the background provides persistent context, and the reference lines offer precise measurement points.
Practical Application: How to Use the Indicator Effectively
For optimal results, traders should incorporate this tool into a comprehensive analysis framework:
Initial Setup: Apply the indicator to any financial chart (stocks, forex, cryptocurrencies, etc.) using the default 14-period setting for general purposes. For shorter timeframes, consider reducing the period to 10; for longer-term analysis, increase to 20-25 periods.
Signal Interpretation:
When the ribbon turns red and the background tints crimson, exercise caution with new long positions and consider profit-taking on existing holdings.
Green zones may indicate accumulation opportunities, particularly if accompanied by bullish divergence (price making lower lows while RSI makes higher lows).
Yellow areas suggest normal market fluctuation where trend-following strategies may be more appropriate than reversal anticipation.
Confirmation Protocol: Always wait for additional confirmation before acting on extreme readings. For greed zone signals, look for bearish candlestick patterns, resistance at key price levels, or decreasing volume. For fear zone signals, watch for bullish reversal patterns, support levels holding, or increasing volume on down moves.
Timeframe Harmony: Analyze multiple timeframes simultaneously. A greed signal on a daily chart carries more weight than one on a 15-minute chart. Look for alignment across timeframes for higher-probability setups.
Alert Utilization: Enable the built-in alert system to receive notifications when sentiment zones change, ensuring you never miss potential opportunities or risk scenarios.
Original Contribution: What Sets This Indicator Apart
While RSI indicators are ubiquitous, the "Fear Greed Ranges" implementation offers several distinctive advantages:
Cognitive Efficiency: By converting numerical data into immediate visual perception, the indicator reduces the mental processing required to assess market conditions. Traders can glance at a chart and instantly understand the sentiment landscape without calculating or interpreting raw values.
Contextual Persistence: The colored background maintains a subtle but constant reminder of the prevailing sentiment, preventing the common pitfall of overlooking extreme conditions that might develop gradually.
Dual-Layer Communication: The system operates on both conscious (reference lines, labels) and subconscious (color psychology) levels, engaging multiple cognitive pathways for more reliable signal recognition.
Integrated Risk Framework: By explicitly naming emotional extremes ("Fear" and "Greed"), the indicator constantly reminds traders of the psychological forces driving markets, encouraging more disciplined decision-making.
Important Considerations and Limitations
No technical indicator guarantees future performance, and this tool should form only one component of a comprehensive trading strategy. Several critical factors require attention:
Market Context Matters: During strong trending markets, RSI can remain in extreme zones for extended periods without immediate reversal. In such conditions, the indicator signals strength rather than imminent reversal.
Volatility Adjustments: Highly volatile instruments may generate frequent zone changes that could lead to overtrading if not filtered appropriately.
Complementary Tools: This indicator works best when combined with price action analysis, volume studies, support/resistance levels, and fundamental factors where applicable.
Personal Adaptation: Traders should backtest the indicator on their preferred markets and timeframes to understand its characteristics before live implementation, potentially adjusting the RSI period or zone thresholds to match specific instrument behaviors.
The "Fear Greed Ranges" indicator serves as a visual translator of market psychology, converting mathematical momentum readings into intuitive emotional landscapes. By making RSI interpretation more immediate and accessible, it helps traders maintain objectivity during emotionally charged market conditions and supports more disciplined execution of their trading strategies. Remember that successful trading involves risk management, continuous learning, and adapting tools to your individual approach—this indicator provides one lens through which to view the markets, not a complete trading system in itself.
TXG Wick DetectorOverview The TradeX Guru Wick Detector is a price action utility designed to automatically identify potential "Liquidity Grabs" and "Stop Hunts." It highlights candles where the market has aggressively rejected lower prices, signaling that Smart Money may be absorbing sell orders (the "Samosa Crust Break").
How It Works This script calculates the ratio of the lower wick relative to the total candle range.
If the lower wick represents more than 50% of the total candle size (customizable), a Teal Diamond (💎) is plotted below the bar.
This visual cue alerts you to a strong rejection of lower prices, often found at the end of a correction or during a "Stop Hunt" at key support levels.
Features
Automated Detection: Instantly spots high-rejection candles across any timeframe.
Customizable Sensitivity: Adjust the "Wick %" threshold in the settings to filter for stronger or weaker signals.
Visual Clarity: Non-intrusive diamond markers that do not clutter your chart.
Watermark: Includes the TradeX Guru brand mark for easy sharing.
🚀 How to Use This Tool for Analysis
Do not trade every diamond blindly. Use this 3-Step "Pro" Protocol to filter for high-probability setups:
1. Location (Context is King) Only consider signals that appear at Key Areas of Value:
Support Zones: Is price testing a historical support line?
Round Numbers: Is the signal near a psychological level (e.g., Nifty 25,000, BankNifty 50,000)?
High Volume Nodes (VPVR): Is price rejecting a high-volume cluster?
Rule: If a diamond appears in the middle of a random trend ("No Man's Land"), ignore it.
2. The Trap (The Hunt)
Watch for price to dip below your key level first.
The appearance of the Teal Diamond confirms that this dip was rejected. This suggests that "Stop Loss Liquidity" was hunted and absorbed by institutional buyers.
3. The Trigger (Entry & Risk)
Entry: Wait for the diamond candle to close. Enter on the next candle if bullish momentum continues.
Stop Loss: Place your SL strictly below the Low of the diamond candle.
Logic: If price breaks below the wick, the rejection has failed, and the setup is invalid.
Settings Guide
Wick Size % (Default 0.50): The wick must be 50% of the candle.
Increase to 0.60 for fewer, higher-quality signals.
Decrease to 0.40 for more frequent signals (scalping).
Disclaimer This tool is for educational purposes only. Price action patterns do not guarantee future performance. Always manage your risk.
Absorption Call@subitrades Rough absorption indicator from volume + candle range, with breakout indication.
Bulkowski Flag Master ProEnglish: Entry & Exit GuideEntry Signal (BUY): A lime "BUY" triangle appears when the price breaks above a valid flag's resistance line. This is the official breakout signal based on Bulkowski's methodology. Target Price (Lime Dashed Line): Automatically calculated using the formula:$Target = Breakout Price + \frac{(Pattern High - Pattern Low)}{2}$.Bulkowski states this rule is accurate nearly 90% of the time for this pattern. Stop Loss (Red Dashed Line): Positioned at the bottom of the flag (consolidation low). Professional traders exit immediately if the price dips back below this level. KST Sessions:Red Highlight: US Opening 3H (KST 23:30 - 02:30) - Peak volatility for scalping.Indicator Filtering: For the highest probability, only take BUY signals when the price is above the Yellow EMA 200 and Aqua VWAP.
CDC ActionZone V3 + RSI DivergencesCDC ActionZone V3 + RSI Divergences is a momentum-confirmation and reversal-detection framework designed for traders who want clear, actionable signals with minimal noise.
What it does
CDC ActionZone V3 identifies high-probability momentum phases by classifying market conditions into actionable zones (bullish, bearish, or neutral). It filters out chop and keeps you aligned with dominant price pressure.
RSI Divergences detect early signs of trend exhaustion by highlighting bullish and bearish divergences between price and RSI—often preceding reversals or meaningful pullbacks.
Super Crooks - Breakers█ OVERVIEW
This indicator plots bullish and bearish breaker formations. When price is moving quickly, it can be difficult to mark out breaker formations across multiple timeframes. This indicator simplifies that process by marking these out automatically -- ultimately making the formations easily visible.
█ CONCEPTS
Adds L, H, LL, HH swing point labels to show bullish breaker formations
Adds H, L, HH, LL swing point labels to show bearish breaker formations
█ HOW TO USE
Add the Super Crooks Breakers indicator to your TradingView charts
Open the indicator's settings and select your preferred configurations
Watch your charts to see the indicator plot breaker formations
█ FEATURES
Visuals are drawn in real time (after candle closure) on your selected timeframe
Breaker formations can be configured to be plotted based on candle wick (high/low) price or candle close price
Configuration options (swing lengths, show/hide setups)
Aggressive Buyers & SellersShows indicators of aggressive sellers and buyers, so when you are looking at the chart closer then you will be able to make short time trade based off the indicators tell.
Superbank Grid The Superbank Grid automatically plots institutional-grade price zones across Forex, Indices, and Crypto, giving traders a consistent framework for identifying major liquidity areas, psychological levels, and high-probability reaction zones — on any timeframe.
This indicator is designed to eliminate guesswork by anchoring price to repeatable, whole-number structures used by professional traders.
What It Draws
Forex (All FX Pairs)
Major Zones: Every 1,000 pips
Median Levels: 500 pips
Quarter Levels: 250 & 750 pips
Minor Grid: 100-pip intervals
Examples:
EURUSD:
Major → 0.7000 · 0.8000 · 0.9000 · 1.0000 · 1.1000
Quarters → 0.7250 · 0.7500 · 0.7750
USDJPY:
Major → 60 · 70 · 80 · 90 · 100 · 110
Quarters → 62.5 · 65.0 · 67.5 · 122.5 · 125.0 · 127.5
Indices & Crypto
Major “Superbank” Zones: $10,000
Median Levels: $5,000
Minor Grid: $1,000
Ideal for:
NAS100
US30
SPX
BTC
ETH
Key Features
Works on all timeframes
Auto-adapts to Forex, JPY pairs, Indices, and Crypto
Prevents chart auto-scale distortion (“screen squish”)
Displays only relevant zones near current price
Adjustable colors, line weights, and label sizes
Optional visibility toggles for Major, Median, Quarter, and Minor levels
Best Use Cases
Identifying institutional liquidity pools
Marking reaction zones and decision points
Structuring entries, targets, and stop placement
Aligning price action with Big Money levels
Swing trading, position trading, and intraday execution
Important Notes
This indicator is a context and structure tool, not a signal generator.
Best used in combination with market structure, order flow, and risk management.
Designed to reflect how professional traders segment price, not retail indicators.
Who This Is For
Traders who think in zones, liquidity, and scale — not random indicators.
If you trade:
Forex
Indices
Crypto
and want a repeatable framework for understanding where price matters…
This tool belongs on your chart.
Paulo - Volume Scalp AutoIndicator Name:
Paulo – Volume Scalp Auto (Crypto)
Description:
This indicator was developed for aggressive crypto scalping, with a focus on 1-minute charts and highly volatile altcoins.
It combines volume analysis, price action, and ATR-based volatility, automatically adjusting signal sensitivity depending on whether the market is in a normal or volatile regime.
The script detects relevant volume spikes relative to the moving average, helping filter out weak entries and highlighting potential short-term participation of large market players.
When volatility increases, the indicator automatically raises the volume threshold, reducing false signals that are common in fast-moving altcoins.
Key features:
• Automatic Normal vs. Volatile mode
• Dynamic volatility detection
• Visual buy and sell signals
• Native TradingView alerts
• Optimized for 1-minute crypto scalping
Disclaimer: This indicator is a decision-support tool only and does not constitute financial advice. Always use proper risk management.
ORB 369 - Opening Range Breakout The ORB 369 is a professional-grade momentum indicator designed to capture the volatility of the New York market open. While many Opening Range Breakout (ORB) scripts simply draw lines, this script integrates time-segmented price action with Supply and Demand (S/D) theory to filter out "fakeouts" and identify high-probability institutional entries.
💡 The Core Concept: Why 3-6-9?
The strategy is rooted in the "Market Open Volatility" principle. The first 15 minutes (9:30–9:45 AM EST) represent the period where institutional orders are processed and "price discovery" is most aggressive.
The Range: We define the 15-minute high and low as the "Battlefield."
The 369 Logic: This script focuses on the 3rd 5-minute candle of the session (completing the 15m range) and monitors the subsequent 5m and 15m cycles for a definitive trend shift.
🛠️ How It Works
The script utilizes Pine Script v6 high-precision time-tracking and state-handling to ensure accuracy even on historical data.
1. Dynamic Session Anchoring
Unlike static indicators, this script uses America/New_York timezone anchoring. It identifies the Opening Range (OR) regardless of your local time, ensuring you are aligned with the NYSE floor traders.
2. Supply & Demand Detection
The script doesn't just look at the high/low; it analyzes the micro-structure within that 15-minute window.
It identifies unmitigated zones (areas where price moved so fast it left "imbalances").
If a breakout occurs but price immediately hits an internal S/D zone, it warns the trader of a potential "Look Above and Fail" scenario.
3. Breakout Confirmation (5m Logic)
A common mistake is entering on a "wick." This script uses Closing Logic:
Bullish Signal: A 5-minute candle must close entirely above the 15m High.
Bearish Signal: A 5-minute candle must close entirely below the 15m Low.
The script then repaints the candle body (defaulting to Blue/Red) to provide an instant visual cue that the "Breakout is Confirmed."
📈 How to Use It
Wait for the Box: At 9:45 AM EST, the script will automatically lock in the High, Low, and Midpoint (Mean) of the range.
Monitor the Midpoint: The Midpoint acts as the "Line in the Sand." If a breakout occurs but price stays near the Midpoint, the trend is weak. If price stays in the upper half of the range, the Bullish bias is stronger.
The Entry: Wait for the Candle Color Change. A blue candle above the range suggests a long entry; a red candle below suggests a short.
Supply/Demand Zones: If the script highlights a "Demand Zone" at the bottom of the range and price bounces off it before breaking the top, this provides a "double-confluence" setup.
⚙️ Technical Features
Customizable Aesthetics: Use the Settings menu to change the breakout colors (Green/Blue/Red) to match your personal chart theme.
Smart Tooltips: Hover over the inputs in the settings to see detailed explanations of what each parameter does.
Alert Ready: Built-in alerts for "Bullish Breakout" and "Bearish Breakout" that can be sent directly to your phone or desktop via TradingView.
AI Indicator EMA big moveThe Institutional big move+ big move + Target indicator is designed to help trader identify high probabilty breakout,
Divergence Detector with GradingIt detects divergences in real time and grades the divergence based on the probability of that divergence playing out. It will grade divergences with a higher grade if near major support and resistantance levels.
