Global Sovereign Spread MonitorIn the summer of 2011, the yield on Italian government bonds rose dramatically while German Bund yields fell to historic lows. This divergence, measured as the BTP-Bund spread, reached nearly 550 basis points in November of that year, signaling what would become the most severe test of the European monetary union since its inception. Portfolio managers who monitored this spread had days, sometimes weeks, of advance warning before equity markets crashed. Those who ignored it suffered significant losses.
The Global Sovereign Spread Monitor is built on a simple but powerful observation that has been validated repeatedly in academic literature: sovereign bond spreads contain forward-looking information about systemic risk that is not fully reflected in equity prices (Longstaff et al., 2011). When investors demand higher yields to hold peripheral government debt relative to safe-haven bonds, they are expressing a view about credit risk, liquidity conditions, and the probability of systemic stress. This information, when properly analyzed, provides actionable signals for traders across all asset classes.
The Science of Sovereign Spreads
The academic study of government bond yield differentials began in earnest following the creation of the European Monetary Union. Codogno, Favero and Missale (2003) published what remains one of the foundational papers in this field, examining why yields on government bonds within a currency union should differ at all. Their analysis, published in Economic Policy, identified two primary drivers: credit risk and liquidity. Countries with higher debt-to-GDP ratios and weaker fiscal positions commanded higher yields, but importantly, these spreads widened dramatically during periods of market stress even when fundamentals had not changed significantly.
This observation led to a crucial insight that Favero, Pagano and von Thadden (2010) explored in depth in the Journal of Financial and Quantitative Analysis. They found that liquidity effects can amplify credit risk during stress periods, creating a feedback loop where rising spreads reduce liquidity, which in turn pushes spreads even higher. This dynamic explains why sovereign spreads often move in non-linear fashion, remaining stable for extended periods before suddenly widening rapidly.
Longstaff, Pan, Pedersen and Singleton (2011) extended this research in their American Economic Review paper by examining the relationship between sovereign credit default swap spreads and bond spreads across multiple countries. Their key finding was that a significant portion of sovereign credit risk is driven by global factors rather than country-specific fundamentals. This means that when spreads widen in Italy, it often reflects broader risk aversion that will eventually affect other asset classes including equities and corporate bonds.
The practical implication of this research is clear: sovereign spreads function as a leading indicator for systemic risk. Aizenman, Hutchison and Jinjarak (2013) confirmed this in their analysis of European sovereign debt default probabilities, finding that spread movements preceded rating downgrades and provided earlier warning signals than traditional fundamental analysis.
How the Indicator Works
The Global Sovereign Spread Monitor translates these academic findings into a systematic framework for monitoring credit conditions. The indicator calculates yield differentials between peripheral government bonds and German Bunds, which serve as the benchmark safe-haven asset in European markets. Italian ten-year yields minus German ten-year yields produce the BTP-Bund spread, the single most important metric for Eurozone stress. Spanish yields minus German yields produce the Bonos-Bund spread, providing a secondary confirmation signal. The transatlantic US-Bund spread captures divergence between the two major safe-haven markets.
Raw spreads are converted to Z-scores, which measure how many standard deviations the current spread is from its historical average over the lookback period. This normalization is essential because absolute spread levels vary over time with interest rate cycles and structural changes in sovereign debt markets. A spread of 150 basis points might have been concerning in 2007 but entirely normal in 2023 following the European debt crisis and subsequent ECB interventions.
The composite index combines these individual Z-scores using weights that reflect the relative importance of each spread for global risk assessment. Italy receives the highest weight because it represents the third-largest sovereign bond market globally and any Italian debt crisis would have systemic implications for the entire Eurozone. Spain provides confirmation of peripheral stress, while the US-Bund spread captures flight-to-quality dynamics between the two primary safe-haven markets.
Regime classification transforms the continuous Z-score into discrete states that correspond to different market environments. The Stress regime indicates that spreads have widened to levels historically associated with crisis periods. The Elevated regime signals rising risk aversion that warrants increased attention. Normal conditions represent typical spread behavior, while the Calm regime may actually signal complacency and potential mean-reversion opportunities.
Retail Trader Applications
For individual traders without access to institutional research teams, the Global Sovereign Spread Monitor provides a window into the macro environment that typically remains opaque. The most immediate application is risk management for equity positions.
Consider a trader holding a diversified portfolio of European stocks. When the composite Z-score rises above 1.0 and enters the Elevated regime, historical data suggests an increased probability of equity market drawdowns in the coming days to weeks. This does not mean the trader must immediately liquidate all positions, but it does suggest reducing position sizes, tightening stop-losses, or adding hedges such as put options or inverse ETFs.
The BTP-Bund spread specifically provides actionable information for anyone trading EUR/USD or European equity indices. Research by De Grauwe and Ji (2013) demonstrated that sovereign spreads and currency movements are closely linked during stress periods. When the BTP-Bund spread widens sharply, the Euro typically weakens against the Dollar as investors question the sustainability of the monetary union. A retail forex trader can use the indicator to time entries into EUR/USD short positions or to exit long positions before spread-driven selloffs occur.
The regime classification system simplifies decision-making for traders who cannot constantly monitor multiple data feeds. When the dashboard displays Stress, it is time to adopt a defensive posture regardless of what individual stock charts might suggest. When it displays Calm, the trader knows that risk appetite is elevated across institutional markets, which typically supports equity prices but also means that any negative catalyst could trigger a sharp reversal.
Mean-reversion signals provide opportunities for more active traders. When spreads reach extreme levels in either direction, they tend to revert toward their historical average. A Z-score above 2.0 that begins declining suggests professional investors are starting to buy peripheral debt again, which historically precedes broader risk-on behavior. A Z-score below minus 1.0 that starts rising may indicate that complacency is ending and risk-off positioning is beginning.
The key for retail traders is to use the indicator as a filter rather than a primary signal generator. If technical analysis suggests a long entry in European stocks, check the sovereign spread regime first. If spreads are elevated or rising, the technical setup becomes higher risk. If spreads are stable or compressing, the technical signal has a higher probability of success.
Professional Applications
Institutional investors use sovereign spread analysis in more sophisticated ways that go beyond simple risk filtering. Systematic macro funds incorporate spread data into quantitative models that generate trading signals across multiple asset classes simultaneously.
Portfolio managers at large asset allocators use sovereign spreads to make strategic allocation decisions. When the composite Z-score trends higher over several weeks, they reduce exposure to peripheral European equities and bonds while increasing allocations to German Bunds, US Treasuries, and other safe-haven assets. This rotation often happens before explicit risk-off signals appear in equity markets, giving these investors a performance advantage.
Fixed income specialists at banks and hedge funds use sovereign spreads for relative value trades. When the BTP-Bund spread widens to historically elevated levels but fundamentals have not deteriorated proportionally, they may go long Italian government bonds and short German Bunds, betting on mean reversion. These trades require careful risk management because spreads can widen further before reversing, but when properly sized they offer attractive risk-adjusted returns.
Risk managers at financial institutions use sovereign spread monitoring as an input to Value-at-Risk models and stress testing frameworks. Elevated spreads indicate higher correlation among risk assets, which means diversification benefits are reduced precisely when they are needed most. This information feeds into position sizing decisions across the entire trading book.
Currency traders at proprietary trading firms incorporate sovereign spreads into their EUR/USD and EUR/CHF models. The relationship between the BTP-Bund spread and EUR weakness is well-documented in academic literature and provides a systematic edge when combined with other factors such as interest rate differentials and positioning data.
Central bank watchers use sovereign spreads to anticipate policy responses. The European Central Bank has demonstrated repeatedly that it will intervene when spreads reach levels that threaten financial stability, most notably through the Outright Monetary Transactions program announced in 2012 and the Transmission Protection Instrument introduced in 2022. Understanding spread dynamics helps investors anticipate these interventions and position accordingly.
Interpreting the Dashboard
The statistics panel provides real-time information that supports both quick assessments and deeper analysis. The composite Z-score is the primary metric, representing the weighted average of all spread Z-scores. Values above zero indicate spreads are wider than their historical average, while values below zero indicate compression. The magnitude matters: a reading of 0.5 suggests modestly elevated stress, while 2.0 or higher indicates conditions similar to historical crisis periods.
The regime classification translates the Z-score into actionable categories. Stress should trigger immediate review of risk exposure and consideration of hedges. Elevated warrants increased vigilance and potentially reduced position sizes. Normal indicates no immediate concerns from sovereign markets. Calm suggests risk appetite may be elevated, which supports risk assets but also creates potential for sharp reversals if sentiment changes.
The percentile ranking provides historical context by showing where the current Z-score falls within its distribution over the lookback period. A reading of 90 percent means spreads are wider than they have been 90 percent of the time over the past year, which is significant even if the absolute Z-score is not extreme. This metric helps identify when spreads are creeping higher before they reach official stress thresholds.
Momentum indicates whether spreads are widening or compressing. Rising momentum during elevated spread conditions is particularly concerning because it suggests stress is accelerating. Falling momentum during stress suggests the worst may be past and mean reversion could be beginning.
Individual spread readings allow traders to identify which component is driving the composite signal. If the BTP-Bund spread is elevated but Bonos-Bund remains normal, the stress may be Italy-specific rather than systemic. If all spreads are widening together, the signal reflects broader flight-to-quality that affects all risk assets.
The bias indicator provides a simple summary for traders who need quick guidance. Risk-Off means spreads indicate defensive positioning is appropriate. Risk-On means spread conditions support risk-taking. Neutral means spreads provide no clear directional signal.
Limitations and Risk Factors
No indicator provides perfect signals, and sovereign spread analysis has specific limitations that users must understand. The European Central Bank has demonstrated its willingness to intervene in sovereign bond markets when spreads threaten financial stability. The Transmission Protection Instrument announced in 2022 specifically targets situations where spreads widen beyond levels justified by fundamentals. This creates a floor under peripheral bond prices and means that extremely elevated spreads may not persist as long as historical patterns would suggest.
Political events can cause sudden spread movements that are impossible to anticipate. Elections, government formation crises, and policy announcements can move spreads by 50 basis points or more in a single session. The indicator will reflect these moves but cannot predict them.
Liquidity conditions in sovereign bond markets can temporarily distort spread readings, particularly around quarter-end and year-end when banks adjust their balance sheets. These technical factors can cause spread widening or compression that does not reflect fundamental credit risk.
The relationship between sovereign spreads and other asset classes is not constant over time. During some periods, spread movements lead equity moves by several days. During others, both markets move simultaneously. The indicator provides valuable information about credit conditions, but users should not expect mechanical relationships between spread signals and subsequent price moves in other markets.
Conclusion
The Global Sovereign Spread Monitor represents a systematic application of academic research on sovereign credit risk to practical trading decisions. The indicator monitors yield differentials between peripheral and safe-haven government bonds, normalizes these spreads using statistical methods, and classifies market conditions into regimes that correspond to different risk environments.
For retail traders, the indicator provides risk management information that was previously available only to institutional investors with access to Bloomberg terminals and dedicated research teams. By checking the sovereign spread regime before executing trades, individual investors can avoid taking excessive risk during periods of elevated credit stress.
For professional investors, the indicator offers a standardized framework for monitoring sovereign credit conditions that can be integrated into broader macro models and risk management systems. The real-time calculation of Z-scores, regime classifications, and component spreads provides the inputs needed for systematic trading strategies.
The academic foundation is robust, built on peer-reviewed research published in top finance and economics journals over the past two decades. The practical applications have been validated through multiple market cycles including the European debt crisis of 2011-2012, the COVID-19 shock of 2020, and the rate normalization stress of 2022.
Sovereign spreads will continue to provide valuable forward-looking information about systemic risk for as long as credit conditions vary across countries and investors respond rationally to changes in default probabilities. The Global Sovereign Spread Monitor makes this information accessible and actionable for traders at all levels of sophistication.
References
Aizenman, J., Hutchison, M. and Jinjarak, Y. (2013) What is the Risk of European Sovereign Debt Defaults? Fiscal Space, CDS Spreads and Market Pricing of Risk. Journal of International Money and Finance, 34, pp. 37-59.
Codogno, L., Favero, C. and Missale, A. (2003) Yield Spreads on EMU Government Bonds. Economic Policy, 18(37), pp. 503-532.
De Grauwe, P. and Ji, Y. (2013) Self-Fulfilling Crises in the Eurozone: An Empirical Test. Journal of International Money and Finance, 34, pp. 15-36.
Favero, C., Pagano, M. and von Thadden, E.L. (2010) How Does Liquidity Affect Government Bond Yields? Journal of Financial and Quantitative Analysis, 45(1), pp. 107-134.
Longstaff, F.A., Pan, J., Pedersen, L.H. and Singleton, K.J. (2011) How Sovereign Is Sovereign Credit Risk? American Economic Review, 101(6), pp. 2191-2212.
Manganelli, S. and Wolswijk, G. (2009) What Drives Spreads in the Euro Area Government Bond Market? Economic Policy, 24(58), pp. 191-240.
Arghyrou, M.G. and Kontonikas, A. (2012) The EMU Sovereign-Debt Crisis: Fundamentals, Expectations and Contagion. Journal of International Financial Markets, Institutions and Money, 22(4), pp. 658-677.
Educational
Discipline Sleeping TimeThe Sleeping Time indicator highlights a predefined time window on the chart that represents your sleeping hours. This will help doing backtest easily by filtering out unrealistic result of trades while we are still sleeping.
During the selected period:
- The chart background is softly shaded to visually mark your sleep window
- The first candle of the range is labeled “Sleep”
- The last candle of the range is labeled “Wake Up”
You can also use it for other purpose.
This makes it easy to:
- Visually avoid trading during sleep hours
- Identify when a trading session should be inactive
- Maintain discipline and consistency across different markets and timezones
Key Features:
- Custom Time Range
Define your sleeping hours using a start and end time.
- UTC Offset Selector
Adjust the time window using a UTC offset dropdown (−10 to +13), so the indicator aligns correctly with your local time.
- Clear Visual Markers
Background shading during sleep hours
- Start label: Sleep
- End label: Wake Up
- Customizable Labels
Change label text, size, and style to suit your chart layout.
Best Use Case
Use this indicator to lock in rest time, avoid emotional trades, and respect personal trading boundaries. Because good trades start with good sleep 😴
Advanced Momentum TrackerThe Advanced Momentum Tracker (AMT) is a technical indicator designed to identify high-probability trend reversals and momentum shifts in real-time. Unlike traditional indicators that rely solely on mathematical formulas, AMT analyzes price action structure and historical patterns to detect when market momentum is shifting from bullish to bearish (and vice versa).
Core Methodology:
The indicator tracks consecutive price movements and maintains a comprehensive database of historical momentum patterns. It identifies trend changes by analyzing:
Sequential candle relationships (opens and closes)
Break of key trailing stop levels formed by recent price action
Historical success rates of similar momentum patterns
Key Features
1. Dynamic Levels:
Automatically plots real-time dynamic trailing stop levels based on current momentum
Color-coded lines: Green for bullish momentum, Red for bearish momentum
These levels act as trigger points for potential trend changes
2. Entry Signal Markers:
Clear BUY (↑) and SELL (↓) arrows when momentum shifts are detected
Arrows positioned above/below candles for maximum visibility ,Signals only appear on confirmed trend changes
3. Momentum Score Display:
Shows statistical probability based on historical pattern analysis
Displays strength percentage of current momentum continuation
Helps traders assess confidence level of the current trend
4. Exit Zone Indicator:
Plots recommended exit levels for active positions
Dynamic color coding: Red for long exits, Green for short exits
Warning system (orange) when price breaches exit zones
5. Position Management Filter:
Optional risk filter to avoid trades with excessive distance from trigger level
Customizable position threshold percentage
Helps maintain consistent risk-reward ratios
6. Comprehensive Alert System:
Customizable alert messages for both long and short signals
Configurable alert frequency (once per bar or once per bar close)
Real-time notifications for all signal types
Customization Options-
Visual Settings:
Toggle visibility of current price level, momentum score, and exit zones
Customizable colors for all elements (bullish/bearish themes)
Adjustable line thickness for dynamic levels
Entry Markers:
Custom colors for long and short entry signals
Adjustable arrow distance from candles
Core Parameters:
Historical Depth: Amount of past data to analyze (default: 20,000 bars)
Sensitivity Level: Controls how strong a move must be to trigger signals (default: 4)
Higher values = fewer but stronger signals
Lower values = more signals with earlier entries
Position Management:
Enable/disable position filter
Set maximum acceptable risk threshold as percentage
How It Works:-
Momentum Detection Engine: The script continuously monitors price action, tracking each bullish and bearish leg. It maintains arrays of opens, closes, and counts to build a comprehensive picture of market structure.
Pattern Recognition: When price breaks key levels (minimum/maximum of recent candles based on sensitivity), the indicator recognizes a potential momentum shift.
Statistical Validation: The script compares the current pattern against its historical database to calculate the probability of momentum continuation.
Signal Generation: When a valid trend change is detected (and passes the position filter if enabled), entry signals are displayed with corresponding exit zones.
Best Use Cases:
Swing trading on any timeframe (works on 1m to 1D charts)
Trend reversal identification
Momentum trading strategies
Works on all markets: Forex, Stocks, Crypto, Indices, Commodities etc
Recommended Settings:
Scalping/Day Trading: Sensitivity 2-3, Historical Depth 10,000-20,000
Swing Trading: Sensitivity 3-4, Historical Depth 20,000-30,000
Position Trading: Sensitivity 4-5, Historical Depth 30,000+
Important Notes:
Signals appear only on confirmed bars (not on real-time candles unless confirmed)
The momentum score becomes more accurate as more historical data is processed
Position filter should be adjusted based on the volatility of the instrument being traded
Best used in conjunction with proper risk management and position sizing
What Makes This Indicator Unique:
Unlike indicators that simply apply mathematical formulas to price data, AMT learns from historical price behavior. It doesn't just tell you what happened—it tells you what's likely to happen next based on thousands of similar situations in the past. The statistical momentum score provides an edge that pure technical indicators cannot offer.
Disclaimer: This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. Always use proper risk management and combine with your own analysis. Happy Trading !!
Trade_Today_Together (ASHOK'S) Subject: Introducing a Rule-Based Trading Indicator Built on Structure, Psychology & Trend
Hello,
I’m pleased to share an overview of a trading indicator designed to simplify decision-making by combining multiple proven market concepts into a single, structured framework.
This indicator integrates price structure using Weekly OHLC levels, market psychology through Fibonacci-based calculations, and trend strength via moving average logic. By aligning these three components, it helps traders clearly identify important price zones and understand the broader market context.
Rather than attempting to predict future price movements, the indicator reacts to real-time price behavior at key levels. This approach supports disciplined trading by focusing on confirmation and confluence, reducing emotional bias and unnecessary trades.
The framework is suitable for traders who prefer:
* Rule-based and objective analysis
* Reduced screen time
* Consistent decision-making across different market conditions
It can be applied across various instruments and timeframes and is well-suited for swing, positional, and system-based trading strategies.
If you would like more details, a live demonstration, or access information, please feel free to get in touch.
Warm regards,
Ashok
CBDR Standard Deviation V2CBDR
Standard Deviation measures how far price statistically deviates from the central bank dealer range before institutional rebalancing occurs. CBDR defines fair value, while standard deviation highlights liquidity expansion zones. Moves into ±2 SD or beyond often signal stop-loss sweeps and inventory imbalance, where institutions favor mean reversion, not breakouts.
CBDR SD Core Checklist
□ Daily IPDA bias defined
□ Clean CBDR formed (Asia / early London)
□ CBDR high & low marked
□ ±1 and ±2 SD levels plotted
□ Liquidity sweep beyond CBDR
□ No high-impact news in session
CBDR SD Reversal Trade Checklist
□ Price taps ±2 SD or ±2.5 SD
□ Clear rejection (wick / displacement)
□ Entry against the expansion, not on breakout
□ Stop placed beyond liquidity extreme
□ TP1: CBDR boundary
□ TP2: CBDR midpoint (mean)
□ TP3 (optional): Opposite CBDR extreme
□ Invalidate if strong trend displacement continues
This reversal model captures institutional fade trades after liquidity is harvested, keeping execution statistical, disciplined, and prop-firm resilient.
Elliott Wave Pattern AnalyzerElliott Wave Pattern Analyzer
Overview
This indicator automatically detects Elliott Wave impulse patterns and diagonal formations on your chart. It analyzes price structure based on classic Elliott Wave rules and displays wave counts with confidence scores, Fibonacci projections, and invalidation levels.
Why I Built This
After reading Glenn Neely's book on Elliott Wave theory, I wanted to put my learning into practice by building something tangible. There's no better way to understand a concept than trying to code it!
I'll be honest – corrective wave patterns (zigzags, flats, triangles, combinations) were simply too complex for me to implement reliably. So instead, I focused on what I could manage: impulse waves and diagonal patterns. Maybe someday I'll tackle the corrections, but for now, this is my humble contribution.
The retracement visualization style was inspired by LuxAlgo's elegant approach – credit where credit is due!
How It Works
1. Wave Detection
The indicator uses pivot points to identify potential 5-wave structures:
WaveRuleWave 2Cannot retrace more than 100% of Wave 1Wave 3Cannot be the shortest among Waves 1, 3, 5Wave 4Should not overlap Wave 1 territory (impulse)Wave 5Completes the motive structure
2. Pattern Types
Impulse Waves
Classic 5-wave motive structure
Wave 3 typically extends (≥1.618 of Wave 1)
Strict mode enforces all Elliott rules
Diagonal Patterns
Ending diagonal (wedge-shaped)
Waves progressively contract
Lines 1-3 and 2-4 converge to an apex
Often signals trend exhaustion
3. Confidence Scoring
Each pattern receives a confidence score (0-100%) based on:
Fibonacci ratio adherence
Wave proportion relationships
Rule compliance
Structural clarity
Only patterns exceeding your threshold (default: 60%) are displayed.
4. Fibonacci Projections
After Wave 5 completion, the indicator projects potential retracement levels:
0.382, 0.500, 0.618, 0.786 of the entire impulse
5. Extension Channel
Connects Wave 0 origin to the retracement low, projecting:
0.618, 1.000, 1.272, 1.618 extensions
Optional extended levels: 2.000, 2.618, 4.236
6. Invalidation Levels
Shows the price level where the wave count becomes invalid – helping you know when your analysis is wrong.
Settings Explained
Impulse Wave Settings
Pivot Length: Sensitivity of wave detection (recommended: 5, 7, 14)
Strict Mode: Enforce all classic Elliott rules
Min Wave 3 Extension: Minimum ratio for Wave 3 (default: 1.618)
Diagonal Wave Settings
Allow Wave 4-1 Overlap: Required for valid diagonals
Extend Trendline: Project diagonal boundaries forward
Projection Settings
Fibonacci Levels: Customize retracement targets
Extension Bars: How far projections extend on chart
Pattern Management
Max Patterns: Limit displayed patterns to reduce clutter
Pattern Lifetime: Auto-remove old patterns after X bars
Use Cases
Trend Trading: Enter on Wave 3 or Wave 5 breakouts
Reversal Spotting: Diagonal completion often signals reversals
Target Setting: Use Fibonacci extensions for take-profit levels
Risk Management: Invalidation levels provide clear stop-loss references
Notes
This indicator uses pivot detection and may repaint – signals are confirmed after the specified pivot length
Designed for educational and analytical purposes, not as a signal generator
Elliott Wave analysis is subjective – this is my algorithmic interpretation
Works best on liquid markets with clear trend structure
Not financial advice – always do your own research
Re-publishing Notice
This indicator was previously blocked due to some house rule violations on my part. I've recently had time to review and fix those issues, and I'm now re-publishing a compliant version. Thanks for your patience!
Feedback Welcome
I'm still learning Elliott Wave theory myself, so if you spot any issues or have suggestions for improvement, please leave a comment. Let's learn together!
Happy trading! 📈
QuantumPips Market Structure ProQuantumPips® — Market Structure Pro (MSP)
Market Structure Pro is a structure-first decision tool built to help traders read the market with clarity. MSP focuses on three practical components:
1) Active Market Structure (context)
2) Active Volume (confirmation)
3) Demand/Supply Zones (planning)
The goal is simple: help you avoid trading noise and instead build a repeatable workflow with defined invalidation and mapped target areas.
OVERVIEW
Many traders lose consistency because they trade without context: entering mid-range, chasing candles, or placing stop loss levels without structure.
MSP is designed to make your chart more “actionable” by highlighting:
• where structure is currently leaning,
• when activity/volume supports that context,
• and where key demand/supply zones can be used for planning risk and tentative exits.
FEATURES
This script includes the following core modules:
• Active Market Structure context (trend / shift / continuation zones)
• Active Volume confirmation layer (to filter low-quality conditions)
• Demand/Supply Zones (key reaction areas)
• Tentative Target Zones derived from zone logic (planning aid)
• Invalidation / SL idea levels based on zone boundaries (planning aid)
• Clean, restrained on-chart visuals designed for fast decision-making across timeframes
HOW TO USE (WORKFLOW)
A simple workflow most traders can follow:
1) Determine Bias
• Use the structure context to decide bullish vs bearish preference.
2) Confirm
• Wait for activity/volume confirmation and avoid entries during low-quality chop.
3) Execute with a Plan
• Use demand/supply zones for entry planning (e.g., pullback / retest behavior).
4) Define Risk
• Use the invalidation logic as a stop-loss idea (do not place SL randomly).
5) Map Exits
• Use the next target zone(s) as tentative take-profit ideas.
6) Manage
• Always use position sizing and a fixed risk model (e.g., % risk per trade).
BEST PRACTICES
• Works on all instruments and all timeframes (scalp → swing).
• Prefer bar-close confirmation for cleaner decision-making.
• Avoid thin liquidity / extreme chop regimes; structure tools perform best with clear context.
• Combine MSP with your execution rules (session timing, volatility filters, news awareness).
NOTES & LIMITATIONS
• MSP provides context and planning levels — it does not predict the future.
• Targets/SL ideas are “tentative” and can fail during high volatility or regime shifts.
• Use proper risk management. No indicator can replace discipline and execution quality.
DISCLAIMER
This script is provided for educational and informational purposes only and does not constitute financial advice, investment advice, or a recommendation to buy/sell any instrument. Trading involves risk, and you are responsible for your decisions and risk management.
Session By BullancePrime Multi-Session VisualizerThe Session BullancePrime indicator allows you to visualize the major trading sessions (Asia, London, New York) directly on your chart. It provides:
✅ Customizable session times in AM/PM or 24-hour format
✅ Enable/disable each session independently
✅ Background highlighting for each session
✅ Open line, high/low tracking, vertical line, and midline for precise session analysis
✅ Midline centered on the session range, updating in real-time
✅ Fully customizable colors, line styles, and widths
Use it to identify key trading ranges, session overlaps, and potential breakout zones across global markets. Ideal for day traders, swing traders, and anyone looking to analyze session-based price action.
Advanced Concept V4 Change your trading time zone to New York . To maximize readiness for institutional trading setups based on the prescribed models, traders should set alarms for specific times in the New York Time Zone (EST/EDT), which is generally 10.5 hours behind IST.
Asian Stop Hunt Model
The Stop Hunt Model is a liquidity-based strategy designed to exploit market stop-loss sweeps by aligning with the IPDA daily bias. The core idea is to wait for price to sweep the engineered liquidity of the Asian Session High or Low (after 10:30 AM IST). Once the sweep occurs, the trader confirms the market's true direction via a Change of Character (CHoCH) on the lower timeframe. The entry is then taken only on a retest of the resulting price inefficiency, specifically a Balanced Price Range (BPR) or imbalance, which represents the institutional entry point. By targeting the next major liquidity pool with a minimum 1:3 risk-to-reward ratio, the model prioritizes discipline and quality over frequent trading.
The New York Open Model
The New York Open Model is an index-focused strategy (SPX500, NAS100, US30) that trades solely during the New York Session (9:30 AM – 12:30 PM NYT). It establishes a Range Zone high and low from midnight until the open, treating these boundaries as institutional liquidity targets. Execution is triggered by a mandatory liquidity sweep of one side of this range, followed by a confirming Change of Character (CHoCH) on the 1-minute chart. Entry is taken precisely on the retest of a resulting price inefficiency (like an FVG), aiming for the opposite side of the session range, prioritizing simplicity, timing, and controlled risk over external biases like IPDA.
The ATM Strategy
The ATM Strategy is a high-precision, New York-session trading model designed to capture institutional liquidity moves using the IPDA directional bias. The strategy operates by first defining a Range Zone (00:00 to 8:30 AM NY time) where high and low boundaries act as liquidity targets. Execution is restricted to the Trading Zone (8:30AM to 12:30 PM NY time) and is only triggered when price executes a mandatory liquidity sweep of one range boundary that aligns with the IPDA bias. This sweep must then be confirmed on the 1-minute chart by a Change of Character (CHoCH). Final entry is taken on the retest of a resulting price inefficiency (like an FVG or BPR), with targets set at session highs or lows, ensuring institutional-style execution with high clarity and discipline.
The Central Bank Dealer Range (CBDR)
The Central Bank Dealer Range (CBDR) model is a disciplined, institutional trading strategy used on the 15-minute chart, primarily focusing on London Session liquidity for major currency pairs. The core idea is to align with Interbank Price Delivery Algorithm (IPDA) bias, which dictates a mandatory liquidity sweep (a false breakout of the previous day's high or low) must occur first. Following this sweep, a visible price imbalance (Fair Value Gap) must form within the London Session. Entry is strictly taken only on the retest of this imbalance zone, confirming institutional order flow, with a fixed target at the opposite boundary of the previous day's range.
Smart Money Concept - Signal [TradingMienTrung]Smart Money Concept - Entry Signals
An intelligent trading indicator that automatically generates precise entry signals with Stop Loss and Take Profit levels for Smart Money Concepts (SMC) trading. This tool transforms FVG and Order Block analysis into actionable trade setups with automated risk management.
█ ORIGINALITY & KEY INNOVATIONS
This indicator introduces FIVE unique features to the SMC framework:
1. MULTI-LEVEL ENTRY SYSTEM (0%, 50%, 100%)
• Three entry levels within each zone for flexible position scaling
• 0% = Zone bottom (aggressive, early entry)
• 50% = Zone middle (balanced, recommended)
• 100% = Zone top (conservative, strong confirmation)
2. AUTOMATED RISK MANAGEMENT
• Automatic Stop Loss calculation based on zone structure
• Take Profit projection using configurable R:R ratios
• Visual feedback: WHITE line (Entry), RED line (SL), LIME line (TP)
3. INTELLIGENT RESOURCE MANAGEMENT
• FIFO deletion system when max entries reached
• Maintains clean chart (prevents 500 object limit)
• Configurable max entries (1-50) per zone type
4. ANTI-REPAINT SYSTEM
• All signals confirmed using barstate.isconfirmed
• Prevents false signals during real-time bar formation
• Historical consistency matches real-time behavior
5. COMPLETE VISUAL FRAMEWORK
• Entry point markers at exact entry prices
• Take Profit and Stop Loss levels with clear labels
• Separate visual controls for each entry level
█ OVERVIEW
When price approaches a Fair Value Gap or Order Block:
1. Calculates optimal entry point at selected level
2. Automatically places Stop Loss based on zone boundaries
3. Projects Take Profit target using your configured Risk:Reward ratio
4. Displays all levels visually on chart with precise labels
5. Sends alerts when entry conditions are met
█ SETTINGS & CONFIGURATION
FVG Entry Configuration
• Show FVG Entry: Enable/disable FVG entry signals
• Max Entries: Maximum number of active FVG entries
• Min Height: Minimum FVG zone height filter (direct price units)
• R:R Ratio: Risk-Reward ratio for Take Profit (Default 2.0)
Order Block Entry Configuration
• Show OB Entry: Enable/disable Order Block entry signals
• Max Entries: Maximum number of active OB entries
• Min Height: Minimum OB zone height filter
• R:R Ratio: Risk-Reward ratio for Take Profit (Default 3.0)
Core SMC Parameters
• Show Structure/FVG/OB: Toggle visibility of core SMC elements
• Structure Types: Configure BOS, CHoCH, and Swing lookbacks
█ HOW IT WORKS & LOGIC
FVG Bullish Entry (Long):
• Entry 50% = (FVG Top + FVG Bottom) / 2
• SL = Entry - Zone Height
• TP = Entry + (Zone Height × R:R Ratio)
Order Block Bearish Entry (Short):
• Entry 50% = (OB Top + OB Bottom) / 2
• SL = Entry + Zone Height
• TP = Entry - (Zone Height × R:R Ratio)
█ QUICK START GUIDE
1. Add to chart and open Settings.
2. Show FVG Entry : ON, R:R Ratio : 2.0
3. Show OB Entry : ON, R:R Ratio : 3.0
4. When price touches a zone:
• Enter at the WHITE line
• SL at the RED line
• TP at the LIME line
█ CREDITS & ATTRIBUTION
This script is built upon the Smart Money Concepts indicator originally developed by LuxAlgo .
• Base Framework: Smart Money Concepts
• Modifications by TradingMienTrung: Multi-level entry system, Automated TP/SL engine, Anti-repaint logic, FIFO resource management.
█ LICENSE
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
You must attribute the original author (LuxAlgo) and the modifier (TradingMienTrung). Commercial use is not allowed.
█ DISCLAIMER
This indicator is for educational purposes only. Signals are based on technical analysis and do not guarantee profits. Users are responsible for their own trading decisions and risk management.
Gold Scalper v6 - PineConnectorThis strategy is an automated momentum-following scalper specifically designed for Gold (XAUUSD). It combines three popular technical indicators to ensure you are trading with the trend while catching a "surge" in price.
Because it uses PineConnector syntax, it is built to bridge the gap between TradingView's charts and your MetaTrader 4 or 5 (MT4/MT5) brokerage account.
Candle Anatomy (feat. Dr. Rupward)# Candle Anatomy (feat. Dr. Rupward)
## Overview
This indicator dissects a single Higher Timeframe (HTF) candle and displays it separately on the right side of your chart with detailed anatomical analysis. Instead of cluttering your entire chart with analysis on every candle, this tool focuses on what matters most: understanding the structure and strength of the most recent HTF candle.
---
## Why I Built This
When analyzing price action, I often found myself manually calculating wick-to-body ratios, estimating retracement levels, and trying to gauge candle strength. This indicator automates that process and presents it in a clean, visual format.
The "Dr. Rupward" theme is just for fun – a lighthearted way to present technical analysis. Think of it as your chart's "health checkup." Don't take it too seriously, but do take the data seriously!
---
## How It Works
### 1. Candle Decomposition
The indicator breaks down the HTF candle into three components:
- **Upper Wick %** = (High - max(Open, Close)) / Range × 100
- **Body %** = |Close - Open| / Range × 100
- **Lower Wick %** = (min(Open, Close) - Low) / Range × 100
Where Range = High - Low
### 2. Strength Assessment
Based on body percentage:
- **Strong** (≥70%): High conviction move, trend likely to continue
- **Moderate** (40-69%): Normal price action
- **Weak** (<40%): Indecision, potential reversal or consolidation
### 3. Pressure Analysis
- **Upper Wick** indicates selling pressure (bulls pushed up, but sellers rejected)
- **Lower Wick** indicates buying pressure (bears pushed down, but buyers rejected)
Thresholds:
- ≥30%: Strong pressure
- 15-29%: Moderate pressure
- <15%: Weak pressure
### 4. Pattern Recognition
The indicator automatically detects:
| Pattern | Condition |
|---------|-----------|
| Doji | Body < 10% |
| Hammer | Lower wick ≥ 60%, Upper wick < 10%, Body < 35% |
| Shooting Star | Upper wick ≥ 60%, Lower wick < 10%, Body < 35% |
| Marubozu | Body ≥ 90% |
| Spinning Top | Body < 30%, Both wicks > 25% |
### 5. Fibonacci Levels
Displays key Fibonacci retracement and extension levels based on the candle's range:
**Retracement:** 0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0
**Extension:** 1.272, 1.618, 2.0, 2.618
**Negative Extension:** -0.272, -0.618, -1.0
These levels help identify potential support/resistance if price retraces into or extends beyond the analyzed candle.
### 6. Comparison with Previous Candle
When enabled, displays the previous HTF candle (semi-transparent) alongside the current one. This allows you to:
- Compare range expansion/contraction
- Observe momentum shifts
- Identify continuation or reversal setups
---
## Settings Explained
### Display Settings
- **Analysis Timeframe**: The HTF candle to analyze (default: Daily)
- **Offset from Chart**: Distance from the last bar (default: 15)
- **Candle Width**: Visual width of the anatomy candle
- **Show Previous Candle**: Toggle comparison view
### Fibonacci Levels
- Toggle individual levels on/off based on your preference
- Retracement levels for pullback analysis
- Extension levels for target projection
### Diagnosis Panel
- Shows pattern name, strength assessment, and expected behavior
- Can be toggled off if you prefer minimal display
---
## Use Cases
1. **Swing Trading**: Analyze daily candle structure before entering on lower timeframes
2. **Trend Confirmation**: Strong body % with minimal upper wick = healthy trend
3. **Reversal Detection**: Hammer/Shooting Star patterns with high wick %
4. **Target Setting**: Use Fibonacci extensions for take-profit levels
---
## Notes
- This indicator is designed for analysis, not for generating buy/sell signals
- Works best on liquid markets with clean price action
- The "diagnosis" is algorithmic interpretation, not financial advice
- Combine with your own analysis and risk management
---
## About the Name
"Dr. Rupward" is a playful persona I created – combining "Right" + "Upward" (my trading philosophy) with a doctor theme because we're "diagnosing" candle health. It's meant to make technical analysis a bit more fun and approachable. Enjoy!
---
## Feedback Welcome
If you find this useful or have suggestions for improvement, feel free to leave a comment. Happy trading!
Intermarket Divergence (Futures vs Equity)Intermarket Divergence (Futures vs Equity)
This indicator detects intermarket divergence between a traded instrument (futures, CFD, or spot) and a related equity or ETF.
It highlights moments where price and its underlying market drivers disagree, often appearing before reversals or expansions.
🎯 What It Shows
Bullish divergence:
Price makes a lower low while the equity makes a higher low
Bearish divergence:
Price makes a higher high while the equity makes a lower high
Based on swing pivots, not candle noise
Designed for intraday context, not mechanical entries
✅ Recommended Use
XAUUSD (Gold) → GDX (default)
XAGUSD (Silver) → SIL
USOIL / WTI → XLE
(These guidelines are included directly in the indicator settings.)
🧭 How to Use
Apply on 15m–30m
Look for signals near key levels (PDH/PDL, Asia high/low, HTF structure)
Use price action for entries
Divergence is context, not a signal.
⚠️ Notes
Non-repainting
Signals are selective by design
Best during London & New York sessions
BB37BB37
WHAT IS SUPPORT AND RESISTANT ?
Support and resistance are fundamental concepts in technical analysis used to identify price levels on charts that are likely to act as barriers, preventing the price from moving in a certain direction.
Support:
Definition: Support refers to a price level at which an asset tends to stop falling because demand is strong enough to prevent further declines. It acts as a "floor" for the price, where buyers step in to buy the asset, causing the price to rebound or stabilize.
Example: If a stock is trading at $50 and repeatedly fails to drop below that level, $50 would be considered a support level.
Resistance:
Definition: Resistance is the opposite of support. It refers to a price level at which selling pressure is strong enough to prevent the price from rising further. It acts as a "ceiling," where sellers are more willing to sell, causing the price to reverse or consolidate.
Example: If the price of an asset repeatedly fails to rise above $100, $100 would be considered a resistance level.
In Practice:
Support and resistance levels are used by traders to make decisions about buying and selling. If the price approaches support, traders may see it as a potential buying opportunity. If the price approaches resistance, they may consider selling or shorting the asset.
If price breaks through a support or resistance level, it can signal a significant price movement. For example, a price moving above resistance may indicate an uptrend, while a price falling below support could indicate a downtrend.
These levels are not always exact and may vary slightly, often being identified as areas rather than precise lines on a chart. They are key tools for understanding market psychology and price behavior.
CVD Divergence Indicator.1.mmCumulative Volume Delta (CVD) – Line Version
This indicator displays Cumulative Volume Delta as a line, rather than traditional delta candles, to make order-flow divergence easier to identify at a glance.
CVD tracks the net difference between aggressive buying and aggressive selling. When price makes a new extreme but CVD fails to confirm, it can indicate that the move is being driven by positioning or profit-taking, rather than fresh initiative participation.
Divergence Concepts
Bearish Divergence:
Price makes a higher high while CVD forms a lower high → potential bearish reversal
Bullish Divergence:
Price makes a lower low while CVD forms a higher low → potential bullish reversal
Hidden Divergence (Trend Continuation)
Hidden Bullish:
Price makes a higher low while CVD makes a lower low → potential bullish continuation
Hidden Bearish:
Price makes a lower high while CVD makes a higher high → potential bearish continuation
Signal Behavior
Divergence signals are only generated after a divergence has fully formed.
No signals are plotted while a divergence is still developing.
Signals highlight areas of interest, not trade entries.
Usage Notes
Best Use Cases:
- Range highs / lows - VWAP interactions - Prior session highs or lows - Failed breakouts - Post-news exhaustion moves
This indicator can be applied across all timeframes.
CVD divergence should be used in conjunction with price structure, key levels, VWAP, and broader market context.
Important: CVD divergence is most effective in balanced or rotational market conditions.
In strong trending environments, price can continue to move despite persistent divergence.
This tool is not intended to be used as a standalone entry or exit system.
Hurst Intraday Cycles & FLDHurst Intraday Cycles & FLD: A Day Trader’s Guide
Overview
This indicator adapts the legendary market cycle theories of J.M. Hurst specifically for intraday day trading. While Hurst’s "Nominal Model" is traditionally applied to daily and weekly charts (the 20-day, 40-day, and 18-month cycles), this script applies the principle of Harmonicity to decompose those rhythms into the "Sub-Nominal" cycles that drive the trading day: the 80-minute and 40-minute rhythms.
What is the FLD (Future Line of Demarcation)?
The FLD is the core "signal generator" in Hurst’s toolset. It is the median price shifted forward in time by exactly half the length of the cycle you are tracking.
The Logic: If a cycle is bottoming, the price will cross above the FLD. If a cycle is peaking, the price will cross below it.
The Advantage: Unlike traditional moving averages that "lag" price, the FLD acts as a projected boundary. When price interacts with an FLD that is shifted into the "future," it provides a more reliable confirmation of a structural trend change.
Key Features
Multi-Cycle Tracking: Automatically tracks the Primary (80m) and Secondary (40m) intraday cycles.
Adaptive Timeframes: The script automatically calculates the bar-count for your cycles whether you are on a 1-minute, 5-minute, or 15-minute chart.
Future Projections: Draws vertical dashed lines into the future to mark the expected "Time Windows" for the next cycle troughs (lows).
Trend Dashboard: A real-time status box indicating the current bias (Bullish/Bearish) and confirming your chart’s timeframe settings.
How to Trade with this Indicator
1. The FLD Cross (Entry Signal)
The most common way to use this script is to look for a Price/FLD Interaction.
Bullish Entry: Wait for the price candle to close above the blue (Primary) FLD line. This suggests the 80-minute cycle has bottomed.
Bearish Entry: Wait for the price candle to close below the blue FLD line. This suggests the 80-minute cycle has peaked.
2. Harmonic Nesting (High Probability)
A "Nested Low" occurs when multiple cycles bottom at the same time.
The Setup: Look for moments where the Price crosses both the Orange (40m) and Blue (80m) FLD lines simultaneously. This indicates a powerful surge in momentum.
3. Time Projections (Exits & Prep)
Use the vertical dashed lines to anticipate volatility.
If you are in a Long position and price is approaching a vertical "Projection Line," be prepared for a potential cycle trough (a dip or reversal).
These lines represent the "Rhythm" of the market; they are not exact price targets, but "Time Targets."
Recommended Settings
For standard equity markets (6.5-hour sessions), we recommend:
Primary: 80 Minutes
Secondary: 40 Minutes
Best Charts: 1-minute, 2-minute, or 5-minute.
Why this works
Markets are not random; they are governed by human behavior, which repeats in rhythmic waves. By using Hurst's mathematical approach to shift price data, we can filter out market "noise" and focus on the underlying structural vibrations of the trading day.
Disclaimer: No indicator is a crystal ball. Always use proper risk management and wait for candle closes to confirm FLD breaks.
USS SMC Basic + MagicBoxThis is the indicator which carries 2 different functionality in 1 indicator, basic but important factor of "Smart Money Concept" and "Sideway Detection" with additional features, which is rare to find.
Let's talk about Smart Money Concept (SMC) first.
For SMC, I have enabled BoS & CHoCH detection not only for current chart timeframe but also for higher timeframe simultaneously. You can choose higher timeframe according to you taste. For e.g. if you are trading on 15m and also want to check BoS & CHoCH structure on 1H time frame, you can do it by selecting 1 Hour for HTF Timeframe in INPUTS section. If you want you can enable/disable HTF structure for BoS & CHoCH. You can even customise colors. So all parameters are fully customizable. So with the help of this indicator you don't have to put efforts to identify market structure.
Now let's discuss about MagicBox (Sideways Detection) .
It will draw a rectangle box whenever Sideway market appear. So you don't have to put hard efforts to identify sideway market. This indicator do it for you automatically. Up/Down both breakout from Box is displayed by different colored candle to notice easily. Whenever there will be a successful retest of the box, candle will get displayed with Yellow color. You can choose color of your choice for all three candles (Up Break, Down Break & Retest Candle). Candles will always take the reference of most recent rectangle box.
I hope you will enjoy it.
Smart Divergence Scanner═══════════════════════════════════════════════════════════════════════════════
DivScan Pro - User Guide
═══════════════════════════════════════════════════════════════════════════════
OVERVIEW
────────────────────────────────────────────────────────────────────────────────
DivScan Pro is a multi-indicator divergence scanner that detects potential
reversal points by analyzing 10+ technical indicators simultaneously.
Optimized for 5m and 15m timeframes.
SIGNAL ICONS
────────────────────────────────────────────────────────────────────────────────
▲ Green Triangle (Below Bar) = BUY Signal
Strong bullish divergence confirmed by volume + RSI oversold
▼ Red Triangle (Above Bar) = SELL Signal
Strong bearish divergence confirmed by volume + RSI overbought
▲ Faded Green Triangle = Weak BUY
Bullish divergence detected but filters not fully met
▼ Faded Red Triangle = Weak SELL
Bearish divergence detected but filters not fully met
H Red "H" Label = Pivot High Point
L Green "L" Label = Pivot Low Point
DIVERGENCE LABELS
────────────────────────────────────────────────────────────────────────────────
┌─────────┐
│ MC │ Aqua Box (Bottom) = Bullish Divergence
│ RS │ Shows which indicators detected divergence
│ 3 │ Number = total indicator count
└─────────┘
┌─────────┐
│ MC │ Purple Box (Top) = Bearish Divergence
│ VW │ Shows which indicators detected divergence
│ MF │ Number = total indicator count
│ 3 │
└─────────┘
INDICATOR ABBREVIATIONS
────────────────────────────────────────────────────────────────────────────────
MC = MACD Line
MH = MACD Histogram
RS = RSI (Relative Strength Index)
ST = Stochastic
CC = CCI (Commodity Channel Index)
MO = Momentum
OB = OBV (On Balance Volume)
VW = VWMACD (Volume Weighted MACD)
CF = CMF (Chaikin Money Flow)
MF = MFI (Money Flow Index)
EX = External Indicator
DIVERGENCE LINES
────────────────────────────────────────────────────────────────────────────────
─────── Solid Aqua Line = Bullish Regular Divergence
Price: Lower Low | Indicator: Higher Low
Suggests: Potential upward reversal
─────── Solid Purple Line = Bearish Regular Divergence
Price: Higher High | Indicator: Lower High
Suggests: Potential downward reversal
- - - - Dashed Lime Line = Bullish Hidden Divergence
Price: Higher Low | Indicator: Lower Low
Suggests: Trend continuation (uptrend)
- - - - Dashed Red Line = Bearish Hidden Divergence
Price: Lower High | Indicator: Higher High
Suggests: Trend continuation (downtrend)
HOW TO USE
────────────────────────────────────────────────────────────────────────────────
1. WAIT FOR STRONG SIGNALS
Look for solid ▲ or ▼ triangles (not faded)
These have volume + RSI confirmation
2. CHECK CONFLUENCE
More indicators = stronger signal
Label shows "3" or higher = high confidence
3. CONFIRM WITH PRICE ACTION
Wait for candle confirmation after signal
Look for support/resistance levels
4. RECOMMENDED SETTINGS FOR SCALPING (5m/15m)
• Pivot Period: 3
• Min Confirmations: 2
• Max Lookback: 50
• Wait Confirmation: ON
SETTINGS QUICK REFERENCE
────────────────────────────────────────────────────────────────────────────────
MAIN
Pivot Period How many bars to identify pivot (lower = more signals)
Pivot Source Close or High/Low for pivot detection
Divergence Type Regular, Hidden, or Both
Max Pivots Maximum pivot points to scan
Max Lookback Maximum bars to look back
Min Confirmations Minimum indicators required (higher = fewer but stronger)
Wait Confirmation Wait for bar close before signal
DISPLAY
Labels Full (MC), Abbrev (M), or None
Show Count Display number of confirming indicators
Show Lines Draw divergence lines on chart
Show Pivots Mark H/L pivot points
Last Only Show only most recent divergence
Show MA 50/200 Display moving averages
INDICATORS
Toggle each indicator ON/OFF for divergence scanning
ALERTS
────────────────────────────────────────────────────────────────────────────────
Available alerts in TradingView:
• Bullish Regular Divergence
• Bearish Regular Divergence
• Bullish Hidden Divergence
• Bearish Hidden Divergence
• Any Bullish Divergence
• Any Bearish Divergence
TIPS
────────────────────────────────────────────────────────────────────────────────
✓ Higher "Min Confirmations" = fewer signals but higher accuracy
✓ Use with support/resistance levels for best entries
✓ Strong signals (solid triangles) have better win rate
✓ Multiple indicator confluence (3+) = highest probability trades
✓ Always use stop loss - divergence can fail
═══════════════════════════════════════════════════════════════════════════════
DivScan Pro v1.0
═══════════════════════════════════════════════════════════════════════════════
Pre-Market PillarsIndicators that displays where to enter and exit on pre market and low cap stocks.
Inspired by Ross Cameron strategy.
VIX Expiration + Month Turn MarkersThis script mark the VIX option expiration dates and the turn on=f the month dates from 2021 to 2026
There can be increased volatility in the market at these dates or +- 3 days from those dates.
Waduji - Day Closing LevelThis Indicator will help to plot the EMA with the 2 days closing with option to add 1 day closing, this can be used with some momentum indicator as complete system to catch early momentum.. please contact author for rule of the engagement and other supporting indicators
BTC Swing Plan Levels & ZonesThis indicator visualizes a clean, rules-based Bitcoin swing-trade plan with clearly defined entry, target, and risk zones.
🔹 What it shows
• Breakout Entry Level
• Multiple Profit Target Zones (T1 → T4)
• Primary & Hard Stop Risk Zone
• Mid-levels for structure awareness
• Optional background highlight when price is above the breakout (plan active)
All levels are fully editable from the settings panel, allowing you to adapt the framework to any BTC market regime or timeframe.
🔹 How to use
Wait for price to break and hold above the Entry level
Manage the trade target-by-target
Respect the defined stop zone for risk control
Stretch target (T4) is optional and meant for strong trend continuation
🔹 Designed for
• Swing traders
• Structure-based traders
• Risk-managed BTC positioning
• Clean chart layouts (no indicators, no noise)
This tool is not a signal generator — it is a visual trade-planning framework.
Always manage position size and risk responsibly.
SMC Pro Max Ultra [ by josh]This indicator is a comprehensive hybrid trading system and market-structure assistant designed for **EDUCATIONAL PURPOSES ONLY**. It synergizes advanced Smart Money Concepts (SMC) with quantitative algorithmic filtering (Hybrid Logic) to help traders visualize market context, filter out noise, and identify high-probability areas of interest.
**What it shows**
* **Advanced Market Structure:** Visualizes dual-layer structure mapping (Swing vs. Internal) with automated labeling for BOS (Break of Structure), CHoCH (Change of Character), and MSS (Market Structure Shift), including Strong/Weak High & Low identification.
* **Smart Zones & Logic:** Automatically plots Order Blocks (OB), Breaker Blocks, Fair Value Gaps (FVG), and Supply/Demand zones. Includes a "Mitigation Filter" to auto-hide zones that have already been tested to keep the chart clean.
* **Liquidity & Traps:** Highlights structural liquidity pools (EQH/EQL), detects real-time Liquidity Sweeps (Stop Hunts), and identifies potential Bull/Bear Trap zones.
* **"Sniper" Signal Models:** Features multiple signal engines ranging from Classic RSI reversals (Sni 1) and Trend Following (Sni 2) to the strict "Sniper Protocol" (Sni 3/4) for precision entries.
* **Algorithmic Confluence (The Brain):** A sophisticated rule-based scoring system that weights Higher Timeframe (HTF) alignment, ADX Momentum, Volume Spikes, and Fibonacci "Golden Pocket" confluence.
* **Safety Protocols:** Includes a "Chop Filter" (based on Choppiness Index) to detect low-quality sideways markets and suppress signals during dangerous conditions.
* **Risk Management:** Visualizes simulated Entry, Stop Loss, and Take Profit lines based on customizable Risk:Reward ratios or structural invalidation points.
**About “AI” / Scoring**
The "AI" features in this script refer to **Algorithmic Intelligence**—a complex set of hard-coded conditional logic designed to process multiple data points simultaneously. It is **NOT** Machine Learning and does **NOT** predict the future. The "AI Score" displayed on the dashboard is a statistical evaluation of the current market conditions (Trend + Momentum + Volatility) to serve as a confirmation filter only.
**Important Disclaimer**
This indicator does **NOT** provide financial advice and does **NOT** guarantee profits. Trading involves significant risk, and you can lose money. Any signals, backtest simulations, or dashboard statistics are strictly informational and for research purposes only. Past performance shown in the simulation is not indicative of future results. Always perform your own analysis and manage risk responsibly.
**Recommended Use**
Use it as a systematic decision-support tool:
1. **Identify Context:** Use the structure mapping to determine the dominant trend bias.
2. **Wait for Zone Interaction:** Allow price to retrace into High-Probability zones (OB/FVG).
3. **Check the "Score":** Use the Dashboard to ensure the Market is not "Choppy" and the Confluence Score is high.
4. **Confirm Entry:** Execute only when a specific signal (e.g., Sniper 3 or Engulfing Pattern) aligns with your analysis.
**Automation Note**
This script includes alert functionality compatible with third-party bridges. However, if you choose to connect alerts to an external system for automated execution, you do so entirely at your own risk and responsibility. This script is primarily designed as a visual technical indicator, not a "set-and-forget" trading bot.
