Commencez

Educational

My Custom IndexA small indicator to create custom index (Max 10 constituents) This tool allows: Define upto 10 instruments for creating custom index Define % contribution for each Activate / Disable constituents by merely tick/untick Choose to skip adding weights per constituent, by selecting "Equi Weights" Display a benchmark index (Selectable) Normalise the plot so that proper inference can be made This indicator automatically adjusts for the index plot as and when the constituents got listed on the exchange (or when the first data) is available. So there is a possibility of a "jump" in the graph, when a new constituent got listed. Whenever in time a new constituent is included, a "diamond" sign is placed below to indicate the same. This code is based on the "Make Your Own Index!" by Stefan @Scheplick. Thanks to him.
Indicateur Pine Script®
par bharatTrader
1
Pullback Master Pro v2Yes, excellent for scalping too when used on lower timeframes (1-15 min): Why it works for scalping: Quick pullback identification for fast entries EMA slope changes catch momentum shifts early RSI extremes pinpoint overextended moves Volume spikes confirm momentum entries Fast signals for quick in-and-out trades Scalping Setup: Use on 1-5 minute charts Set higher timeframe to 15-30 minutes for trend filter Shorter EMA periods (5-9) for faster signals Small pullback depth (5-15%) for tighter entries The indicator's real-time signals and clean visualization make it ideal for rapid scalping decisions.
Indicateur Pine Script®
par CareExtended
Pullback Master ProPullback Master Pro - Scalping & Swing Trading Indicator Perfect for both scalping and swing trading: For Scalpers (1-5 min charts): Quick pullback signals with fast EMA response Real-time RSI/volume confirmation for rapid entries Clean signals for fast in/out decisions For Swing Traders (1H-4H charts): Multi-timeframe trend filtering for higher accuracy Deep pullback detection for better risk/reward Sustained momentum signals for longer holds Core Features: Pullback detection with customizable depth Multi-timeframe trend alignment RSI + Volume + EMA confluence Adjustable signal display (opacity, position, size) Always-visible 3×6 data table Multiple themes and customization options One indicator for all timeframes - works equally well for quick scalps and strategic swing trades by adjusting the settings.
Indicateur Pine Script®
par CareExtended
Argentina Bonds TIR - Sovereign Bond Yield Curves Indicator# Argentina Bonds TIR A comprehensive indicator that calculates the Internal Rate of Return (IRR/TIR) for Argentine sovereign bonds and projects future price curves at fixed yield levels. ## Features **Real-time TIR Calculation** - Calculates current yield based on market price and expected cashflows - Uses Newton-Raphson iterative method for precise IRR calculation - Day count convention: Actual/365 with T+1 settlement **Automatic Currency Conversion** - Works with any trading currency: ARS, USD MEP (D suffix), USD Cable (C suffix) - Automatically converts prices using AL30/AL30D/AL30C ratios - Bonares use MEP conversion, Globales use Cable conversion **Yield Curve Projections** - Projects price curves 150 bars into the future (configurable) - Fixed TIR lines at 7%, 8%, 9%, 10%, 11%, 12% (each toggleable) - Current TIR line showing price trajectory at current yield - Custom TIR line with user-defined yield value **Clear Labeling** - Labels positioned near current date for easy reading (configurable offset) - Color-coded lines for quick identification - Info panel showing bond details, prices, TIR, and exchange rates ## Supported Bonds **Bonares** (Argentina legislation, USD MEP): AE38, AL29, AL30, AL35, AL41, AN29 **Globales** (Foreign legislation, USD Cable): GD29, GD30, GD35, GD38, GD41, GD46 ## How to Use 1. Apply indicator to any supported bond symbol (e.g., BCBA:AL30D, BCBA:GD35C) 2. The indicator auto-detects bond type and currency 3. View current TIR in the info panel 4. Use projected lines to visualize price targets at different yield levels 5. Toggle individual TIR lines on/off as needed 6. Add a custom TIR line for specific yield analysis ## Settings **Display**: Show/hide current TIR line, projection bars (30-300), label offset in days **Fixed TIR Lines**: Individual toggles for 7%, 8%, 9%, 10%, 11%, 12% **Custom TIR**: Enable custom TIR line, set value (%), choose color **Colors**: Customize colors for all lines ## Info Panel Shows bond ticker, type (Bonar/Global), trading currency, current price, native price, current TIR percentage, MEP and CCL exchange rates. --- ## Español Indicador que calcula la Tasa Interna de Retorno (TIR) para bonos soberanos argentinos y proyecta curvas de precios futuros a niveles fijos de rendimiento. ### Características - Cálculo de TIR en tiempo real usando método Newton-Raphson - Conversión automática de moneda (ARS, USD MEP, USD Cable) - Líneas de TIR fijas al 7%, 8%, 9%, 10%, 11%, 12% - Línea de TIR personalizada configurable - Panel informativo con detalles del bono y tipos de cambio ### Bonos Soportados - **Bonares** (USD MEP): AE38, AL29, AL30, AL35, AL41, AN29 - **Globales** (USD Cable): GD29, GD30, GD35, GD38, GD41, GD46 --- **DISCLAIMER**: This indicator is for informational and educational purposes only. Eco Valores S.A. does NOT provide investment advice or recommendations. Consult a qualified financial advisor before making investment decisions. **AVISO LEGAL**: Este indicador es solo para fines informativos y educativos. Eco Valores S.A. NO brinda asesoramiento ni recomendaciones de inversión. Consulte con un asesor financiero calificado antes de invertir.
Indicateur Pine Script®
par Eco Valores
RSI Divergence Pro Price Overlay High-Prob v6RSI Divergence Pro — Comprehensive Usage Guide 1) What This Indicator Does (in plain English) Goal: Detect high-probability reversal (and optionally continuation) points using RSI divergences, then draw clean visual lines on price (red/bearish, green/bullish) and attach a % Strength label to help you quickly decide if it’s worth trading. Core logic: • Finds confirmed peaks and valleys using ta.pivothigh and ta.pivotlow. • Bearish: Price makes Higher High while RSI makes Lower High. • Bullish: Price makes Lower Low while RSI makes Higher Low. • Filters for high probability: RSI near OB/OS, min RSI diff, ATR scaling, pivot spacing. • Draws lines on price chart and attaches % Strength label. • Alerts trigger only when a new divergence line is drawn. 2) Inputs & What Each One Means • RSI Period: Shorter = more reactive; longer = smoother. • Pivot Left/Right: Controls peak/valley confirmation. • RSI Overbought/Oversold: Default 60/40; tighten for lower TFs. • Min RSI Divergence: Minimum difference between RSI pivots. • ATR Length & Min Price Move vs ATR: Ensures structural change. • Bars Between Pivots: Avoid micro noise and stale signals. • Hidden Divergence toggle: OFF for reversal; ON for continuation. 3) The % Strength Label — What It Represents Combines RSI divergence magnitude (60%), Price move vs ATR (30%), OB/OS proximity (10%). Interpretation: • 80–100%: A-grade signals. • 60–79%: Good, tradable with confirmation. • 40–59%: Caution. • <40%: Usually skip. 4) High-Probability Trading Workflow (H1) 1. Step 1: Scan & identify the signal. 2. Step 2: Confirm with price action (structure break or engulfing). 3. Step 3: Entry (conservative or aggressive). 4. Step 4: Stop placement (pivot ±0.5×ATR). 5. Step 5: Take profit & management (TP1 1×ATR, TP2 2×ATR, trail). 5) Confluence & Filters • EMA slope confirmation. • Structure alignment with S/R zones. • Volatility regime check. 6) Example Scenarios • A) Bearish Classic Divergence: HH price + LH RSI, Strength 83%. • B) Bullish Classic Divergence: LL price + HL RSI, Strength 68%. • C) Hidden Bullish Divergence: HL price + LL RSI, Strength 75%. 7) Common Pitfalls & How to Avoid Them • Forcing signals in dead volatility. • Taking divergences in strong trends without confirmation. • Ignoring pivot spacing. 8) Tuning for Your Style • H1 defaults: RSI 10, pivots 5/5, thresholds 60/40. • M15/M5: thresholds 65/35, min RSI diff 10–12. • H4/D1: thresholds 58/42, ATR multiple 0.4–0.6. 9) Multi-Asset Notes • FX majors: overlap session ideal. • Indices: require engulfing confirmation. • Crypto: use ATR multiple ≥0.7. 10) Alerts — How to Use Them • Set alerts Once per bar close. • Alert names: Bearish RSI Divergence, Bullish RSI Divergence. 11) Backtesting & Forward Testing • Define rules: entry, stop, TP. • Track Strength % bins. 12) Troubleshooting & Diagnostics • No lines? Loosen thresholds. • Too many lines? Tighten thresholds. 13) Quick Operator’s Checklist • Signal present? • Location near S/R? • Confirmation present? 14) Future Upgrade Options • Session filter (London–NY overlap). • EMA slope confirmation. • Structure-break confirmation. • Alert text enhancements.
Indicateur Pine Script®
par DayTraderz365
2
SPX Volatility EngineSPX Volatility Engine A Structured Decision-Support Framework for Intraday SPX Volatility ________________________________________ What This Script Does The SPX Volatility Engine is a professional decision-support framework designed to help intraday SPX traders determine when market conditions support participation and when restraint is warranted. Rather than generating trade signals in isolation, the script provides contextual classification of directional opportunities by evaluating volatility regime, market structure, and directional behavior together, in real time. The output is not more signals — it is fewer, higher-quality decisions, created by filtering and ranking directional activity based on whether the surrounding market environment is aligned or conflicted. ________________________________________ Why This Framework Exists Intraday SPX markets often present conflicting information: • Volatility may compress while price trends • Directional momentum may appear during unfavorable structure • Signals may trigger when participation is statistically poor Most indicators measure one dimension at a time. Very few help traders resolve which information should take precedence when those dimensions disagree. The SPX Volatility Engine was built specifically to address this problem by structuring how market information is evaluated and prioritized, rather than displaying independent indicators side-by-side. ________________________________________ Processing Logic Overview The SPX Volatility Engine evaluates market conditions in a defined sequence designed to prevent low-quality signals from being treated as actionable. The framework operates as follows: 1. Volatility Regime Identification The script first evaluates volatility behavior, including compression, expansion, and momentum characteristics. This establishes whether the current environment favors participation, caution, or avoidance. 2. Structural Context Evaluation Next, the framework evaluates where price is interacting relative to defined structural zones. This step determines whether directional activity is occurring in favorable or unfavorable locations. 3. Directional Signal Detection Only after volatility regime and structure are established does the script evaluate directional behavior. Directional signals are generated conditionally, meaning their significance depends on the surrounding context. 4. Contextual Classification and Suppression Signals are not treated as binary triggers. Each signal is evaluated against the volatility and structural context present at the moment it occurs. Signals that occur during misaligned or conflicted conditions are explicitly downgraded or suppressed. This sequential evaluation — volatility → structure → direction → classification — is the core originality of the framework. The value of the script lies in how information is filtered and ranked, not in any single calculation. Internal volatility and structural measurements are calculated consistently using the same rules on every bar and updated in real time. ________________________________________ How the Components Work Together The SPX Volatility Engine is a single, integrated analytical framework rather than a collection of independent indicators. Volatility metrics, structural references, and directional signals are not displayed for separate interpretation. They are integrated within the same script so that: • Structural context can qualify or disqualify directional behavior • Volatility state can suppress participation during unfavorable regimes • Signals are evaluated based on environmental alignment, not trigger occurrence These elements are included together to enforce interpretive precision. If structure, volatility, and direction were viewed separately, signals could appear actionable when they are not — which this framework is explicitly designed to prevent. This integration logic is the reason the script is maintained as closed source. The originality resides in the evaluation hierarchy and classification process, not in any individual indicator. Single-script integration of all calculations and plot presentations ensures that what is seen on-screen matches the classification process taking place in real time for each signal and its surrounding market context. ________________________________________ Signal Classification Directional signals are classified in real time into one of three contextual states: • Out-of-Context — directional activity exists, but volatility or structure makes participation unreliable • Priority — partial alignment is present and conditions warrant attention with caution • Ideal — volatility regime, structural context, and directional behavior are aligned These classifications are intended to guide trader behavior: • Out-of-Context signals are typically ignored • Priority signals are monitored selectively • Ideal signals represent structurally supported participation environments The script does not predict outcomes and does not provide trade entries or targets. What is presented on-screen is intended to highlight conditions favorable for directional trades when conditions warrant participation, and restraint when those conditions are absent or adverse. ________________________________________ What Appears on the Chart When applied, the SPX Volatility Engine presents a unified on-chart framework that includes: • A Heads-Up Display (HUD) summarizing volatility regime, directional bias, and contextual classification • Contextual CALL / PUT markers that are classified, not blindly generated • Structural reference zones used internally to evaluate signal validity • Real-time regime and alignment cues designed to support disciplined interpretation All outputs belong to this single script and are designed to be interpreted together. ________________________________________ Companion Indicator (Clarification) A separate companion indicator exists to display the volatility compression and histogram state calculated internally by this framework and used during signal evaluation. This companion exists solely to provide an optional visual representation of that state in a dedicated lower pane for traders who wish to see it. The companion indicator is not required for the SPX Volatility Engine to function. It provides an optional visualization for traders who prefer to view volatility state in a separate pane. ________________________________________ Intended Use The SPX Volatility Engine is designed for: • Intraday SPX traders who value context before conviction • Discretionary traders seeking a structured, rules-based analytical framework • Professionals and advanced retail traders who prioritize clarity over signal volume The framework supports interpretation and decision discipline. It does not execute trades and does not provide investment advice. ________________________________________ Access This script is available by Invite-Only. ________________________________________ Disclaimer This indicator is provided for informational and analytical purposes only and does not constitute investment advice, trading advice, or a recommendation to buy or sell any security or instrument. The SPX Volatility Engine does not execute trades and does not guarantee results. All trading decisions remain the sole responsibility of the user. Trading SPX and related instruments involves substantial risk and may result in losses. Users should trade responsibly and in accordance with their own risk tolerance. ________________________________________
Indicateur Pine Script®
par The_Volatility_Engine
Quantum Cortex AI [Pro Strategy] - Adaptive Neural EngineQuantum Cortex AI — Adaptive Neural Engine Introduction Welcome to the future of algorithmic execution. Quantum Cortex AI is not just an indicator; it is a complete trading ecosystem engineered through advanced machine learning modeling. Designed to solve the eternal dilemma of modern trading—Lag vs. Noise—this system utilizes a non-linear "Quantum" processing core that adapts its sensitivity in real-time based on Volume Flow and Statistical Variance. Unlike traditional linear tools, Quantum Cortex does not see "time"; it sees market activity. It distinguishes between true market reversals and dangerous consolidation zones ("whipsaws"), protecting your capital until high-probability conditions are met. 🧠 The "Black Box" Core This script operates on a proprietary adaptive logic developed to filter out market noise. Neural Adaptation: The trend line adjusts its speed based on volatility. In fast markets, it reacts instantly. In chopping markets, it hardens to prevent false signals. SigmaGuard Technology: An internal volatility filter that detects "Dead Zones" (sideways markets) and disables trading until a genuine breakout occurs. 🛡️ Strategic Engines (Dual Mode) The system features a professional-grade backtesting panel with two distinct execution architectures, allowing you to adapt to different market conditions: MODE 1: Trend Following (Trailing ATR) Philosophy: "Let the winners run." Mechanism: The system identifies a trend and activates a dynamic Trailing Stop based on the Average True Range (ATR). Benefit: As the price explodes in your favor, the stop-loss moves up automatically, locking in profits while giving the trade room to breathe. MODE 2: Precision Scalp (Math-Based Target) Philosophy: "Sniper entries with guaranteed net profit." Smart Fee Calculation: You input your exchange fee (e.g., Binance Taker 0.1%). The algorithm automatically calculates the Breakeven Point + Fees (Entry/Exit) + Desired Net Profit. Execution: It places a precise Limit Order at the exact mathematical target. Safety Net: If the target is not hit, the system utilizes a Reversal Stop, closing the trade immediately if the trend changes, preventing winning positions from turning into losses. 💰 Capital Growth Engine Includes a built-in Money Management module: Fixed Equity: Trade with a static amount per trade (e.g., $1,000). Compound Mode: Activate "Compound Interest" to automatically reinvest profits from previous trades into the next entry, testing the potential for exponential account growth. ⚙️ Optimization & Setup This algorithm has been specifically fine-tuned for high-leverage environments: Asset: BTC/USDT (Bitcoin Perpetual). Exchange: Optimized for Binance Futures (Standard Taker Fee: 0.1%). Timeframes: Works on 1H timeframe. 🔒 Access Quantum Cortex AI is a premium Invite-Only script. The source code is protected to maintain the integrity of the proprietary strategy. The market evolves. So should your tools. Disclaimer: Past performance is not indicative of future results. This tool is for educational and assistance purposes only. Always use proper risk management.
Stratégie Pine Script®
par joaoguariglia
1
World sessionsThe indicator highlights trading sessions of major global exchanges (Tokyo, Hong Kong, Frankfurt, London, New York, Chicago). It highlights them with horizontal dashed lines from the start to the end of each session. At the session start, it draws a label with the exchange name above the bar, with adjustable height based on ATR. With gratitude to God the Father, the Lord Jesus Christ - the Son of God, and the Holy Spirit. // © icman — ic380.com // Open Source: исходный код открыт (MPL-2.0)
Indicateur Pine Script®
par ic-man
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.
Indicateur Pine Script®
par EdgeTools
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 😴
Indicateur Pine Script®
par LightNCI
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 !!
Indicateur Pine Script®
par kingshukghosh71
6
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
Indicateur Pine Script®
par tradetodaytogetherttt
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.
Indicateur Pine Script®
par jasiremail