Big Trades Detector [Adjusted LookBack] By HFThis indicator is simply an adjustment to the one published by HK, so that the Lookback can be less than 5 periods.
Penunjuk dan strategi
Vix FIX dotsDescription
Vix FIX Dots is a momentum and volatility-based trend-following tool. It combines the classic Williams VIX Fix logic with Stochastic and RSI filters to identify high-probability reversal points and trend exhaustion.
Unlike the standard VIX Fix which is often displayed in a separate pane, this script overlays signals directly onto your chart as colorful dots to simplify the decision-making process.
How it Works
The script calculates the "Synthetic VIX" (Williams VIX Fix) to find market bottoms and volatility peaks. To reduce noise and false signals, it incorporates price action filters and trend-strength lookbacks.
Signal Guide
The indicator plots four distinct types of dots:
Green Circle (Below Bar): Filtered Long Entry. This represents a standard buy signal where volatility has peaked and price action confirms a move up.
Blue Circle (Below Bar): Aggressive Long Entry. A faster signal for traders looking to catch a move earlier, based on multi-candle lookbacks.
Red Circle (Above Bar): Filtered Exit/Short. Indicates a standard trend exhaustion point.
Orange Circle (Above Bar): Aggressive Exit/Short. A faster signal indicating the trend may be rolling over.
Key Features
Volatility Bands: Uses Bollinger Bands and Percentile calculations on the VIX Fix to identify extreme exhaustion.
Price Action Filter: Signals only trigger if the current close outperforms a user-defined number of previous bars.
Customizable Lookbacks: Fully adjustable settings for Stochastic and RSI filters to match your specific timeframe (M5, H1, D1, etc.).
RSI MTF Table (Threshold Colors + Direction Arrows) [v6]Sometimes I want to know what other timeframes are indicating for the RSI so I borrowed from another indicator and created this script. Since I swing trade, I have the timeframes set higher, but you can adjust them to your needs in the settings.
Each pane is color coded light green below 50, and pink above 50. Then you can define your own thresholds but the defaults are Red above 70, and Dark Green below 30. The colors can be adjusted to your needs.
The top of each pane is its timeframe, then the RSI value for that timeframe. Then I check the current bar against the prior bar to see if the current value is higher (Up Arrow) or lower (Down Arrow) so that you know which way the RSI is moving. The position on your chart can be changed to your needs.
This keeps the momentum in perspective for me. I hope it helps you. Good luck in your trading.
Current High-Low - daily weekly and monthlythis isdicator marks your daily weekly and monthly high and low
Volume MarkersMarks POC, VAL, and VAH over a selected period of time and extends a horizontal line from each marker into the future for a selected period of time
Sesion Operativa - Codigo InstitucionalThis indicator is designed for institutional and precision traders who need to visualize market liquidity and key session operating ranges without visual clutter.
Unlike standard session indicators, this tool focuses on clarity and the projection of key levels (Highs and Lows) to identify potential future reaction zones.
Key Features:
4 Customizable Sessions: Pre-configured with key institutional times (Pre-NY, NY Open, London, and Asia). Each session is fully adjustable in time, color, and style.
Minimalist Labeling: Displays the session name and operating range (in pips/points) in a clean, direct format (e.g., NY - 45), removing decimals and unnecessary text to keep the chart clean.
Range Projections: Option to project the Highs and Lows of each session forward (N candles) to use them as dynamic support or resistance levels.
Opening Highlight (NYSE): Special feature to highlight candle colors during specific high-volatility times (default 09:30 - 09:35 UTC-5), perfect for identifying manipulation or liquidity injections at the stock market open.
Adjustable Time Zone: Default setting is UTC-5 (New York), but fully adaptable to any user time zone.
Basic Key Levels | Feng FuturesKey Levels | Feng Futures (Basic) automatically plots the most essential daily reference levels used by futures traders to establish intraday context and structure.
This lightweight version focuses on the three levels that matter most for session bias and liquidity reference:
Previous Day High (PDH)
Previous Day Low (PDL)
Session Open (18:00 NY for futures)
These levels are commonly used by professional and institutional participants as decision points for:
directional bias
continuation vs. reversal context
risk definition and invalidation
Features:
• Auto-plotted PDH and PDL
• Futures session open (18:00 NY)
• Clean, non-repainting levels
• Lines extend forward for intraday use
• Optional price labels pinned to the right edge
• Minimal design to reduce chart clutter
• Full color, width, and label customization
• Optimized for intraday futures trading
This indicator does not provide trade signals or alerts.
It is designed to support planning, execution, and review within your own trading framework.
Best used on:
ES, NQ, RTY, YM (intraday timeframes)
PDH / PDL levels can be used as take profit targets or to help form bias. For example, if we break out of PDH, we may look for longs.
Disclaimer:
This indicator is for educational purposes only and does not constitute financial advice. Trading futures involves significant risk and may not be suitable for all investors. Always do your own research and use proper risk management.
OI Grid for Gold/Oil-Auto plot OI level
-For Gold and Crude Oil
-Price diff function between future/spot price
Trading Sessions - BluePipsWhat the indicator does
A TradingView Pine Script indicator that overlays trading sessions on intraday charts and tracks session highs/lows.
Main features
Three trading sessions (all times in CST/CDT):
Asian Session: 7:00 PM - 12:00 AM (19:00-00:00)
London Session: 1:00 AM - 6:00 AM (01:00-06:00)
New York Session: 7:00 AM - 1:00 PM (07:00-13:00)
Visual elements (toggleable):
Colored boxes: highlight each active session
Session labels: show session name, price range, and average price
Open/Close lines: dashed lines at session open and close prices
Average price line: dotted line showing the average price during the session
High/Low lines: solid lines showing the session high and low
High/Low labels: "AH" (Asian High), "AL" (Asian Low), "LH" (London High), "LL" (London Low), "NH" (New York High), "NL" (New York Low)
Behavior:
During a session: box expands, lines extend, high/low update in real time
After a session ends: box and open/close lines are removed; high/low lines remain visible as reference levels
Daily reset: all elements are cleaned up at the start of each new day
Use cases
Identify session boundaries and overlaps
Track session highs/lows as support/resistance
Analyze price action during specific trading hours
Monitor session ranges and averages
Technical details
Works only on intraday timeframes (errors on daily/weekly/monthly)
Handles daylight saving time automatically via IANA timezones
Properly cleans up visual elements to prevent memory leaks
All times are in Central Standard Time (CST/CDT)
Useful for traders who want to see session-based price levels and ranges directly on their charts.
Level Targeting Heatmap (Effort -Targets) Level Targeting — Volume-Based Heatmap
Level Targeting visualizes price zones where the market previously approached with elevated relative volume.
These zones represent targets, not signals.
The indicator is built on a simple idea:
price moves with effort, and effort is expressed through volume.
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What it shows
• Heatmap zones where price was approached on high relative volume
• Zones represent price ranges, not exact levels
• Stronger zones indicate repeated market interest
• Separate visualization for zones above and below current price
• Optional focus on nearest targets or recently active zones
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How to read it
• Levels = targets
• Volume = effort
• The path to a level matters more than the level itself
• Volume anomalies are questions, not buy/sell signals
• The market is always being driven, held, or distributed
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What this indicator is
✔️ A market context filter
✔️ A statistical heatmap of historical market attention
✔️ A tool to understand where the market has previously paid to be
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What this indicator is not
✘ Not a buy/sell signal
✘ Not predictive on its own
✘ Not a trading system
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Design philosophy
This indicator adapts naturally to timeframe and chart scale.
Zones may change with zoom level — this is intentional and reflects contextual market structure, not repainting.
Designed for analysis, not automation.
DTG Open Range Breakout
Description:
Overview The Open Range Breakout (ORB) is one of the most statistically significant strategies for day traders, particularly in Futures (ES/NQ) and Forex markets. This indicator automates the process of identifying the "Opening Range" (e.g., the first 30 minutes of the New York session) and visualizing the key High/Low levels that define the day's bias.
Unlike standard indicators that clutter the chart, this tool focuses on Price Action context. It highlights the critical volatility window and alerts you only when price makes a definitive move outside of this established range.
Key Features
Fully Customizable Session: Defaults to 09:30–10:00 (ET), but can be adjusted for any market (London Open, Tokyo Open, etc.).
Visual "No-Trade" Zone: Draws a shaded box representing the range formation period. This helps traders avoid "choppy" price action during the initial volatility.
Auto-Reset: The script automatically detects a new trading day and resets the range, keeping your chart clean without manual intervention.
Dynamic Support/Resistance: Once the range is closed, the High and Low lines extend forward, acting as key support or resistance levels for the rest of the session.
Smart Alerts: Alerts are programmed to trigger only after the range has fully formed, preventing false signals during the volatility establishment phase.
Reversals: If price breaks out but immediately fails and re-enters the box, consider this a "Fakeout" and look for a move to the opposite side.
Settings
Open Range Session: The specific time window to measure (Format: HHMM-HHMM).
Range Box Color: Visual preference for the shaded area.
Extend High/Low Lines: Toggle the dashed projection lines on/off.
DON.TRADES.GOLD@GMAIL.COM
Disclaimer This script is for educational and analytical purposes only. Past performance of a breakout strategy does not guarantee future results. Always manage risk.
ATR Table (Top Right) - Multi Rangejust your friendly atr table to multiple ranges and for the sense of what is brewing
General_MU_RSIExtended version of RSI band.Its allows you show current price how far from "% " to reach end of rsi limits where you set it.
Strategy H4-H1-M15 Triple Screen + TableMaster of Multi-Timeframe Trading: "Triple Screen" Strategy
"▲▼ & BUY/SELL M15 Tags" — H1 Ready signals warn the trader in advance that a reversal is brewing on the medium timeframe.
Settings:
Stochastic Settings: Oscillator length and smoothing adjustment.
Overbought/Oversold: Overbought/oversold level settings (default 80/20).
SL Offset: Buffer in ticks/pips for setting stop-loss beyond extremes.
Usage Instructions:
Long: Background painted light green (H4 Trend UP + H1 Stoch Low), wait for green "BUY M15" tag.
Short: Background painted light red (H4 Trend DOWN + H1 Stoch High), wait for red "SELL M15" tag.
Entry → SL → TP = PROFIT
Short Description (for preview):
Comprehensive "Triple Screen" strategy based on MACD (H4) and Stochastic (H1, M15). Features trend monitoring panel and precise entry signals with automatic Stop Loss calculation.
Technical Notes (for developers):
Hardcoded Timeframes: "240" (H4) and "60" (H1) are hardcoded. For universal use on other timeframe combinations (D1-H4-H1), make these input.timeframe variables.
Repainting: request.security may cause repainting on historical bars (current bar is honest). Standard practice for multi-timeframe TradingView indicators.
Alerts: Built-in alert support for one-click trading convenience.
VWAP Gravity Oscillator (VGO) (Intraday Only)VWAP Gravity Oscillator (VGO)
The VWAP Gravity Oscillator (VGO) is an intraday analytical indicator designed to quantify price displacement from VWAP and the rate of change of that displacement.
The indicator models VWAP as a statistical equilibrium level and evaluates:
Price deviation from VWAP (Delta)
Momentum and acceleration of that deviation via MACD
This framework enables assessment of trend persistence versus mean-reversion pressure in intraday price action.
Methodology
VWAP Delta
Measures the signed distance between price and VWAP, representing directional bias relative to equilibrium.
MACD on Delta
Captures the first- and second-order dynamics of VWAP deviation, highlighting acceleration, deceleration, and potential inflection points.
Zero Line
Represents price–VWAP equilibrium. Crossings may indicate regime transitions.
Interpretation Guidelines
Positive Delta
Price is trading above VWAP with positive directional bias.
Negative Delta
Price is trading below VWAP with negative directional bias.
Increasing MACD
Expansion of VWAP deviation (trend reinforcement).
Decreasing or reversing MACD
Contraction of VWAP deviation (mean-reversion risk).
Intended Applications
Intraday trend validation
Early detection of trend exhaustion
Mean-reversion risk assessment
Filtering low-conviction or balanced market conditions
Implementation Notes
Designed exclusively for intraday timeframes
Automatically suppressed on higher-timeframe charts
Intended as a contextual analysis tool, not a standalone signal generator
Conceptual Summary
VGO evaluates whether price is diverging from, stabilising around, or reverting toward VWAP by analysing both displacement and its rate of change.
ORB | Feng FuturesThe ORB | Feng Futures indicator automatically detects the Opening Range Breakout (ORB) for each trading session, plotting the High, Low, and Midline in real time. This tool is built for futures traders who rely on ORB structure to confirm trends, identify breakout zones, and recognize reversal areas early in the session.
Features:
• Auto-calculated ORB High, Low, and Midline
• Multi-timezone session support (NY, Chicago, London, Tokyo, etc.)
• Customize ORB time range and time window for display
• Real-time updating lines that freeze at session close
• Optional labels with customizable size, color, and offset
• Save and view multiple previous ORB sessions
• Full color customization for all levels
• Automatically hides on higher timeframes (Daily+) to reduce clutter
• Works on ES, NQ, and all intraday futures charts
• Works on stocks, crypto, forex, and other tradeable assets where ORB is applicable
Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading futures involves significant risk and may not be suitable for all investors. Always do your own research and use proper risk management.
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.
Auction Context Engine ( Value Area, VWAP & Regime)📌 Indicator Name
Auction Context Engine (Value Area, VWAP & Regime)
Short name: ACE Context
🧠 Description
Auction Context Engine (ACE) is a professional market context and structure indicator based on Auction Market Theory.It is designed to help traders understand where the market is positioned, not to generate trade signals.
ACE focuses on:
• Developing Value Area (VAH / VAL)
• Developing Point of Control (POC)
• Session VWAP positioning
• Volatility regime expansion
• Opening Range context
• Failed auction / trap detection
• Market bias and environment quality
This indicator provides context only and is intended to be used alongside a separate execution strategy or system.
🎯 What This Indicator Is
✔ A context engine
✔ A market structure filter
✔ A bias alignment tool
✔ A regime and environment classifier
❌ What This Indicator Is NOT
✘ Not a signal generator
✘ Not a buy/sell system
✘ Not a strategy
✘ Not a profitability promise
📊 How To Use
Use ACE to answer:
• Is price accepting or rejecting value?
• Is the market in balance or expansion?
• Is VWAP supporting or opposing price?
• Is this a breakout environment or a trap?
• Is volatility expanding?
• Is the market trending or ranging?
You may then use your own execution strategy aligned with this context.
🟢 Core Components
Developing Value Area
• VAH / VAL dynamically update through the session
• POC tracks highest traded volume area
VWAP Position
• Above VWAP = bullish bias
• Below VWAP = bearish bias
Opening Range Context
• Detects breakouts or balance after session open
Volatility Regime
• Identifies expansion vs normal conditions
Failed Auction Detection
• Highlights trap conditions near value extremes
Market Quality
• Strong / Mixed / Weak environment classification
Context Table
• Clean 1-column vertical dashboard with color-coded bias
🔵 Visual Elements
• Developing VAH, VAL, POC lines
• Session VWAP
• Small context dots when environment turns READY
• Compact professional context table
⚙️ Settings
• Value Area bin size
• Value area percentage
• Opening range duration
• Regime expansion factor
• Line colors and thickness
• Context table ON/OFF
• Context dots ON/OFF
🧩 Best Use Case
This indicator is ideal for:
• Intraday trading
• Index futures and equities
• Options context filtering
• Trend / range regime identification
• Professional discretionary traders
⚠️ Disclaimer
This script is provided for educational and informational purposes only.It does not constitute financial or investment advice.Trading involves risk. Always use proper risk management.
ATR Units + % (Watermark)A clean and simple indicator for displaying ATR (Average True Range) volatility directly on the chart, without any lines, panels, or visual clutter.
The indicator shows:
ATR in price units (how much the asset moves in absolute terms)
ATR as a percentage (%) of the current price
The values are displayed as a text watermark on the chart, allowing you to quickly see the volatility level at a glance without interfering with price analysis.
Customization Options:
Set ATR length
Choose text size
Choose text color
Control transparency (for a true watermark look)
Choose full chart position:
Vertical: Top / Middle / Bottom
Horizontal: Left / Center / Right
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice, investment advice, or a recommendation to buy or sell any financial instrument.
The ATR values shown (both units and percentage) reflect historical price volatility only and do not predict future market behavior.
All trading decisions are the sole responsibility of the user.
Trading involves risk. Always use proper risk management, and consult a licensed financial professional if needed before making trading decisions.
EMA + PDH/PDL 2 Days [Scalping-Algo]🎯 Overview
A clean, focused scalping indicator designed for 2-minute and 4-minute stock charts. Combines trend-following EMAs with key daily support/resistance zones to identify high-probability scalp entries.
🛠️ What's Included
ComponentDescription🟡 EMA 13Fast momentum line🟣 EMA 48Medium trend filter🔴 EMA 200Major trend direction🔵 PDH/PDLPrevious day high & low zones🟠 PDH-2/PDL-22 days ago high & low zones
⏰ Session Filter
Only displays levels during regular trading hours (9:30 AM - 4:00 PM EST) to keep your chart clean during pre/post market.
📊 How to Use for Scalping
✅ Long Setup (2m/4m chart)
Price above EMA 200 (bullish bias)
Price pulls back to PDH/PDL zone or EMA 48
EMA 13 crosses above EMA 48
Enter on bounce from zone
Target: next resistance zone or 1:2 R/R
❌ Short Setup (2m/4m chart)
Price below EMA 200 (bearish bias)
Price rallies into PDH/PDL zone or EMA 48
EMA 13 crosses below EMA 48
Enter on rejection from zone
Target: next support zone or 1:2 R/R
💡 Pro Tips
TipWhy🔥 Trade the first hourMost volume & volatility🎯 Zone confluenceBest setups when PDH/PDL aligns with EMAs⚡ Quick exitsScalping = small gains, don't overstay🚫 Avoid chopSkip trades when price is stuck between zones📉 Respect EMA 200Don't long below it, don't short above it
🔵 Zone Colors Explained
Blue zones → Yesterday's high/low (stronger levels)
Orange zones → 2 days ago high/low (secondary levels)
Zone thickness → 20 ticks buffer for natural price noise
⚙️ Best Settings
TimeframeBest For2 minuteQuick scalps, 5-15 cent targets4 minuteSlightly larger moves, less noise
📌 Recommended Pairs
Works best on liquid stocks with tight spreads:
SPY, QQQ, AAPL, TSLA, AMD, NVDA, META, AMZN
⚠️ Risk Management
RuleSuggestion🛑 Stop lossBelow/above the zone (tight)🎯 Take profit1:2 or 1:3 risk/reward minimum📏 Position sizeMax 1-2% account risk per trade
🚀 Quick Start
Add indicator to 2m or 4m chart
Wait for price to reach a colored zone
Confirm trend direction with EMA 200
Look for EMA 13/48 alignment
Enter with tight stop, scale out at targets
DStrat With Alert Line Dstrat with extra lower band line specifically for alerts to trade spontaneously (without tracking daily)
CVD Normalizzato (0-100)# 📑 MASTER OPERATING MANUAL: Institutional Order Flow Ecosystem (v2.0)
**Integrated Suite:** PVSRA Dashboard PRO + SR High Volume Boxes + Massive Order Spike Detector + CVD-100
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## 1. SYSTEM HIERARCHY
This trading ecosystem is designed to decode "Smart Money" footprints. It filters retail noise to identify where institutional participants are placing massive orders.
1. **Bias (Dashboard):** Determines the overall market direction (Sentiment).
2. **Context (SR Boxes):** Identifies the price "Battlefields" (Supply & Demand).
3. **Internal Force (CVD-100):** Reveals aggressive buying/selling pressure (Market Delta).
4. **Trigger (PVSRA & Spikes):** Signals the exact moment of execution.
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## 2. COMPONENT DICTIONARY
### A. CVD-100 (The Internal Engine)
*Reveals the aggressive pressure of buyers/sellers.*
- **Values > 80:** Aggressive buyers are dominant (Extreme Overbought).
- **Values < 20:** Aggressive sellers are dominant (Extreme Oversold).
- **Green Slope:** Aggressive buyers are increasing pressure.
- **Red Slope:** Aggressive sellers are increasing pressure.
### B. PVSRA Candles (Market Climax)
- 🟢 **Bright Green:** Bull Climax (Highest institutional activity).
- 🟣 **Magenta:** Bear Climax (Panic selling or Institutional offloading).
- 🔵 **Blue/Red:** Rising volume (Professional participation).
### C. SR Boxes & Spikes (The Execution Zones)
- **Teal/Red Boxes:** Areas where significant volume was stored.
- **Triangles (▲/▼):** "Massive Order Spike". Confirms statistical anomaly.
- **Diamonds (◆):** Confirms a level (Box) is successfully holding the price.
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## 3. INTEGRATED STRATEGIES
### **Strategy A: Institutional Trend Follower**
- **Bias:** Dashboard shows "STRONG BUY" + Price is above SMA 200.
- **Setup:** Price breaks above a **Red Box** (Resistance).
- **Confirmation:** **CVD-100** is sloping up (Green) and a **Massive Buy Spike** (▲) appears.
- **Entry:** On the close of the breakout candle.
### **Strategy B: The Climax Reversal (The Sniper)**
- **Bias:** Price reaches a **Teal Box** (Support) after an extended drop.
- **Setup:** **CVD-100** is below 20 (Deep Oversold/Exhaustion).
- **Trigger:** A **Magenta Climax Candle** (PVSRA) appears, followed immediately by a **Green Diamond (◆)**.
- **Entry:** Long when price breaks the high of the Climax candle.
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## 4. THE ULTIMATE CONFLUENCE CHECKLIST
| Priority | Confirmation | Indicator Tool |
| :--- | :--- | :--- |
| **1. Bias** | Is the Dashboard "STRONG" in the trade direction? | PVSRA Dashboard |
| **2. Level** | Is the price at/inside a Teal or Red Box? | SR Boxes |
| **3. Volume** | Is the candle Climax or Rising color? | PVSRA Candles |
| **4. Delta** | Is CVD-100 aligned with your direction? | CVD-100 |
| **5. Trigger**| Has a Triangle (Spike) or Diamond (Hold) appeared? | Spike Detector |
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## 5. TECHNICAL CONFIGURATION
| Setting | Value | Goal |
| :--- | :--- | :--- |
| **PVSRA Climax Factor** | 2.7 | Filter for institutional impact only. |
| **Spike Multiplier** | 4.0 | Isolate statistical extreme volume. |
| **CVD Normalization** | 50 (Stoch) | Standardize delta for clear overbought/sold. |
| **SMA Bias** | 200 | Institutional trend filter. |
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## 6. PRO TIPS & RISK NOTES
- ⚠️ **Divergence:** If Price makes a new high but **CVD-100** makes a lower high, the trend is exhausted. Prepare for a reversal.
- ⚠️ **News Filter:** High-impact news causes "Spikes" but invalidates "Boxes". Wait 15 mins for the market to stabilize.
- ⚠️ **Absorption:** A Climax candle with a tiny body inside a Box is "Absorption". Institutions are soaking up orders. Wait for the box breakout.
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*Created for: Professional Trading Operations*
