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Temel Analiz

Sessions + PDH / PDLTracks the high and low of the NY AM session (8:30–12:00 NY time) and the NY PM session (12:00–16:00 NY time) from the previous day. Draws thin black lines for each high and low, starting at 8:30 AM the next day. Adds labels on the right side of the lines (AM High, AM Low, PM High, PM Low) for easy identification. Works on any timeframe chart. Purpose: Helps you see key previous day session levels at the same starting time (8:30 AM) for intraday reference.
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TFerg tarafından
SPY Daily Levels (GateKept Trading Subscriber v2)GateKept SPY Market Structure Levels This script plots intraday market structure levels specific to SPY, designed to highlight price areas where broad market risk is more likely to transition during the trading session. The indicator does not generate buy or sell signals. Its purpose is to provide a pre-session structural framework that helps traders evaluate how price behaves when it reaches areas that historically act as decision points. What the Script Plots The script displays a structured set of horizontal price levels for the current session. Each level represents a potential inflection area, where price is more likely to: Pause or consolidate Continue into the next structural range Reject and rotate back toward a prior level All levels are calculated before the session begins and remain fixed throughout the day. How the Levels Are Determined (Conceptual) The calculations are based on market structure and price acceptance principles, rather than traditional retail indicators. At a conceptual level, the script: Analyzes pre-market price behavior and reference ranges specific to SPY Identifies areas of prior agreement and disagreement Organizes these areas into a sequential structure, where interaction with one level often influences the probability of reaching the next This produces a mapped intraday framework, where price movement tends to occur between predefined areas rather than randomly. No moving averages, oscillators, or lagging momentum indicators are used. How to Use the Script The script is intended to be used as a context and decision framework, not as a signal generator. Traders should observe: Whether price accepts a level (holds and stabilizes above or below it) Or rejects a level (fails to hold and rotates away) Acceptance increases the probability of continuation toward the next plotted level. Rejection increases the probability of rotation back toward the previous level. Because SPY represents broad index exposure, these levels are often relevant for traders monitoring related instruments that reflect the same market risk. What This Script Is Not Not a buy/sell indicator Not a trend-following system Not a scalping signal tool Not based on RSI, MACD, Bollinger Bands, pivots, or pattern recognition This script is designed to provide structure, context, and clarity, allowing traders to focus on price behavior at meaningful areas rather than reacting to short-term noise.
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GateKept tarafından
QQQ Daily Levels (GateKept Trading Subscriber v2)GateKept Market Structure Levels This script plots intraday market structure levels designed to highlight price areas where directional behavior is statistically more likely to change during the current session. The indicator does not generate buy or sell signals. Instead, it provides a pre-session price framework that allows traders to evaluate how price behaves when it reaches structurally important zones. What the Script Plots The script displays a hierarchical set of horizontal price levels for the current trading session. Each level represents a potential transition point, where price is more likely to: Pause or consolidate Continue toward the next structural area Reject and rotate back toward a prior level Levels are plotted before the session begins and remain fixed throughout the day. How the Levels Are Determined (Conceptual) The calculations are based on market structure and price acceptance concepts, rather than traditional lagging indicators. At a conceptual level, the script: Evaluates pre-market price behavior and reference ranges Identifies areas of prior agreement and disagreement Organizes these areas into a sequential framework, where interaction with one level often determines the probability of reaching the next This creates a roadmap-style structure, where price movement tends to occur between predefined areas rather than randomly. No moving averages, oscillators, or pattern recognition systems are used. How to Use the Script The script is intended to be used as a context and decision framework, not as a signal generator. Traders should observe: Whether price accepts a level (holds and stabilizes) Or rejects a level (fails and rotates away) Acceptance of a level increases the probability of continuation toward the next plotted level. Rejection increases the probability of rotation back toward the previous level. The script is compatible with both ETF and futures charts that represent the same underlying market. What This Script Is Not Not a buy/sell indicator Not a trend-following system Not a scalping signal tool Not based on indicators like RSI, MACD, Bollinger Bands, or pivots The script is designed to provide structure, context, and decision clarity, allowing traders to evaluate price behavior rather than react emotionally.
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GateKept tarafından
XRayXRay is a comprehensive earnings analysis table for TradingView that displays historical quarterly earnings data, year-over-year growth trends, and future estimates in an easy-to-read format directly on your chart. Column & Description ✅ Date - Earnings report date (MMM-YY format) ✅ EPS ($) - Actual earnings per share in dollars ✅ %Chg (YoY) - EPS year-over-year percentage change ✅ Sales (Mil) - Total revenue in millions ✅ %Chg (YoY) - Sales year-over-year percentage change ✅ Price - Configurable: earnings day close, next trading day close, or current price ✅ %Chg (YoY) - Stock price year-over-year percentage change Benefits: ✅ All-in-one earnings dashboard - No need to leave your chart ✅ Smart visual encoding - Color, bold, symbols make patterns obvious ✅ Flexible configuration - Adapts to your trading style ✅ Future-looking - Includes analyst estimates for next quarter Use Cases: ✅ Quick earnings screening - Instantly see growth trends across multiple quarters ✅ Fundamental analysis - Track sales and earnings consistency ✅ Growth acceleration detection - Spot companies accelerating or decelerating ✅ Earnings quality assessment - Compare actual vs. estimates ✅ Position sizing decisions - Evaluate risk based on earnings volatility ✅ Long-term trend analysis - See up to 20 quarters of historical performance
Pine Script® göstergesi
A13G13 tarafından
1
SOP CYCLE UP (MYX:FCPOH2026)# SOP CYCLE TRAILING STRATEGY (MYX:FCPOH2026) ## Technical Overview This strategy is designed specifically for **FCPO (Crude Palm Oil)** using the "SOP Cycle" algorithm optimized for "Exponential Growth". This technique combines the precision of Scalping with the profit potential of Trend Following. **Timeframe:** 1 Hour (H1) **Asset:** MYX:FCPOH2026 ## How to Use (Trade Rules) ### 1. Indicator (Visual) Add the `indicator.pine` file to your TradingView chart. * **Green Line**: BUY Zone (Cycle Up) * **Red Line**: SELL Zone (Cycle Down) * **Label**: Look for "BUY" or "SELL" signals. ### 2. Strategy (Auto/Manual) Use the `strategy.pine` file for backtesting or automation. **Entry Rules:** * **BUY**: When the Cycle changes from Red to **Green** (Confirmed Bar). * **SELL**: When the Cycle changes from Green to **Red** (Confirmed Bar). **Exit Rules (Trailing Logic):** This strategy does not use a fixed Take Profit target. It uses a smart **Trailing Stop**: 1. Trade runs until profit reaches **3 Points** (Activation). 2. Stop Loss will automatically rise, following the price at a distance of **1 Point** (Offset). * *Advantage*: If price rallies 50 points, we capture huge profits. If price reverses, we lock in a minimum profit. 3. **Trend Change**: If the trend reverses drastically, the system will "Force Close" to prevent large losses. ### 3. Risk Management * **Initial Stop Loss**: 8 Points (To protect account from sudden spikes). * **Leverage**: FCPO requires margin, ensure sufficient equity. --- ## Performance * **Win Rate**: ~High Probability * **Style**: Hybrid Scalp-Trend Good Luck!
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QUANTIVESTA tarafından
Aggregate Bull & Bear IndexAggregate Bull and Bear Index The Aggregate Bull and Bear Index represents a systematic approach to measuring market sentiment through the aggregation of multiple fundamental market factors. This indicator draws conceptual inspiration from the Bank of America Bull and Bear Indicator, a widely followed institutional sentiment gauge that has demonstrated significant predictive value for market turning points over multiple market cycles (Hartnett, 2019). While the original Bank of America indicator relies on proprietary institutional data flows and internal metrics that remain inaccessible to individual investors, the Aggregate Bull and Bear Index provides a methodologically similar framework using publicly available market data, thereby democratizing access to sentiment analysis previously reserved for institutional participants. The theoretical foundation of sentiment based investing rests on decades of behavioral finance research demonstrating that market participants systematically exhibit predictable psychological biases during periods of extreme optimism and pessimism. Shiller (2000) documented how irrational exuberance manifests in asset prices through feedback loops of investor enthusiasm, while Kahneman and Tversky (1979) established that human decision making under uncertainty deviates substantially from rational expectations. These behavioral patterns create opportunities for contrarian strategies that exploit the tendency of crowds to overreact at market extremes. The Aggregate Bull and Bear Index quantifies these psychological states by synthesizing information from diverse market segments into a unified scale ranging from zero to ten, where readings below two indicate extreme fear and readings above eight signal extreme greed. Methodology and Calculation Framework The methodology underlying the Aggregate Bull and Bear Index incorporates statistical normalization techniques that transform raw market data into comparable standardized scores. Each component factor is processed through a calculation that measures how far current values deviate from historical norms, effectively capturing whether specific market metrics exhibit unusual readings relative to their own history. These normalized components are then aggregated using a weighting scheme designed to balance information from different market segments while minimizing noise and false signals. The final composite undergoes percentile ranking over a trailing lookback period to produce the familiar zero to ten scale that facilitates intuitive interpretation. The indicator incorporates several important features designed to enhance signal quality and reduce the probability of acting on spurious readings. A consensus filter examines whether multiple underlying components align in the same direction, adding weight to signals when broad agreement exists across different market factors and discounting readings that rest on narrow evidence. Dynamic threshold adjustment allows the extreme zones to adapt to changing market volatility regimes, recognizing that the appropriate definition of extreme varies depending on ambient market conditions. These refinements reflect lessons learned from decades of quantitative finance research on signal processing and regime detection. Professional Application and Portfolio Integration Professional portfolio managers have long recognized the value of sentiment indicators as a complementary tool to fundamental and technical analysis. The fundamental insight underlying sentiment based strategies is elegantly simple yet empirically robust. When market participants become uniformly bullish, marginal buyers become exhausted and the probability of price declines increases substantially. Conversely, when pessimism reaches extreme levels, forced selling creates attractive entry points for patient capital. Bank of America research found that their Bull and Bear Indicator generated a remarkable track record when deployed as a contrarian signal, with extreme fear readings historically preceding positive forward returns in equity markets (Bank of America Global Research, 2020). The Aggregate Bull and Bear Index applies this same contrarian logic while adapting the methodology to accommodate the data constraints facing individual investors. For institutional investors operating with fiduciary responsibilities and substantial capital, the Aggregate Bull and Bear Index serves as one input among many in comprehensive risk management frameworks. Large asset managers might use extreme readings to trigger portfolio review processes, stress testing exercises, or adjustments to tactical allocation overlays. The indicator proves particularly valuable when it diverges from consensus expectations, as such divergences often precede meaningful market inflections. Hedge fund managers implementing systematic strategies can incorporate the index as a conditioning variable that adjusts position sizing or strategy weights based on the prevailing sentiment environment. The integration of sentiment analysis into investment practice finds support in the concept of informational efficiency and the limits thereof. While efficient market hypothesis suggests that prices reflect all available information, the behavioral finance literature demonstrates that information processing by market participants exhibits systematic biases that create temporary mispricings (Barberis and Thaler, 2003). Sentiment indicators capture the psychological dimension of this information processing, providing insight into how market participants collectively interpret and react to fundamental developments. Extreme sentiment readings often indicate that psychological factors have pushed prices away from levels justified by fundamentals alone, creating opportunities for those willing to act against prevailing market opinion. Practical Implementation for Individual Investors The practical implementation of the indicator follows straightforward principles that both sophisticated institutions and individual retail traders can apply within their existing investment frameworks. When the index falls into the extreme fear zone below a reading of two, this suggests that market participants have become excessively pessimistic and that risk assets may offer favorable risk reward characteristics. Traders might consider this an opportune moment to increase equity exposure or reduce hedging positions. When the index rises into the extreme greed zone above eight, the opposite dynamic applies and a defensive posture becomes prudent. This could manifest as reducing equity allocations, increasing cash reserves, or implementing protective hedging strategies. The neutral zone between these extremes suggests no strong directional bias from a sentiment perspective, during which time other analytical frameworks should take precedence in decision making. Individual retail investors can derive substantial benefit from the indicator even without sophisticated infrastructure or large capital bases. The most straightforward application involves treating extreme readings as alerts that warrant careful examination of existing portfolio positioning. A reading in the extreme fear zone might prompt consideration of whether recent market declines have created opportunities to deploy excess cash or rebalance toward equities. A reading in the extreme greed zone could trigger review of whether current equity exposure exceeds target allocations and whether risk reduction measures merit consideration. Importantly, the indicator should inform rather than dictate investment decisions, serving as one valuable perspective within a broader analytical framework. Retail investors frequently find themselves at a psychological disadvantage during market extremes because emotional responses to portfolio losses or gains often prompt actions contrary to long term wealth accumulation. The academic literature on investor behavior consistently documents that individual investors tend to buy near market peaks when confidence runs highest and sell near market bottoms when fear dominates (Barber and Odean, 2000). A systematic sentiment indicator provides an objective framework for recognizing these emotional extremes and consciously acting against natural psychological impulses. By externalizing the assessment of market mood into a quantifiable metric, investors create psychological distance from their own emotional state and gain perspective on the collective sentiment environment. The decision to implement a sentiment indicator within an investment process requires thoughtful consideration of how it complements existing analytical approaches. Technical analysts may find that sentiment readings help contextualize chart patterns and momentum signals, with extreme fear adding conviction to bullish technical setups and extreme greed warranting caution even when price trends appear strong. Fundamental investors can use sentiment as a timing tool that helps avoid the common mistake of being right on valuation but wrong on timing. Quantitative investors might incorporate sentiment factors into multi factor models or use them to adjust position sizing across strategies. Trading Behavior and Strategy Characteristics The Aggregate Bull and Bear Index employs a contrarian investment methodology that fundamentally diverges from trend following approaches prevalent in systematic trading. The trading logic rests upon the principle of accumulating positions when collective fear pervades market sentiment and liquidating those positions when greed dominates investor psychology. This approach stands in direct opposition to momentum strategies that amplify existing market movements rather than positioning against them. The observation that the indicator frequently initiates long positions despite subsequent downward price movement represents not a flaw but an inherent characteristic of contrarian strategies. When the indicator signals extreme fear, this indicates that market participants have already engaged in substantial selling and pessimistic expectations have become embedded in asset prices. However, this emphatically does not guarantee that the ultimate trough has been reached. Fear can intensify, panic selling can escalate, and fundamental deterioration can trigger additional price declines before stabilization occurs. The indicator identifies phases where the statistical probability distribution of future returns appears favorable rather than pinpointing exact inflection points. Academic research by De Bondt and Thaler (1985) demonstrated that markets systematically overreact to both positive and negative information, creating opportunities for patient contrarian investors willing to endure interim volatility. Risk Profile and Investment Considerations This characteristic produces a distinctive risk profile that investors must thoroughly comprehend before implementation. The primary danger manifests in what practitioners colloquially term catching a falling knife. Purchasing assets during declining markets exposes capital to potentially severe interim drawdowns even when the ultimate investment thesis proves correct. The backtest evidence reveals numerous instances where positions experienced double digit percentage declines before eventually generating positive returns or triggering exit signals. Investors lacking the psychological fortitude to maintain positions through such adversity will inevitably abandon the strategy at precisely the wrong moment, crystallizing losses that patient adherents would have recovered. Behavioral research by Odean (1998) documented that individual investors exhibit a strong disposition effect, holding losing positions too long in some contexts while selling winners prematurely, yet paradoxically abandoning systematic strategies during drawdowns when discipline matters most. The temporal dimension of contrarian investing demands particular attention. Unlike trend following strategies that can generate returns relatively quickly by riding established momentum, contrarian approaches often require extended holding periods before mean reversion materializes. The indicator may signal fear and initiate positions that subsequently experience weeks or months of continued decline before sentiment shifts and prices recover. This extended timeline conflicts with human psychological preferences for immediate gratification and creates substantial opportunity for doubt and strategy abandonment. Investors must recognize that the strategy optimizes for terminal wealth accumulation over extended horizons rather than minimizing short term discomfort. A critical risk factor involves the possibility of genuine regime changes that invalidate historical relationships. While extreme fear readings have historically preceded favorable forward returns, this pattern assumes that pessimism eventually proves excessive and fundamentals stabilize or improve. In scenarios involving structural economic transformation, permanent impairment of earnings power, or systemic financial crisis, fear may prove entirely justified rather than excessive. The indicator cannot distinguish between irrational panic creating buying opportunities and rational recognition of deteriorating fundamentals. This limitation underscores the importance of using the indicator as one input among many rather than as a standalone decision mechanism. Risk management applications deserve particular attention given the indicator's historical tendency to signal market stress before price declines fully materialize. Portfolio managers charged with protecting capital during drawdowns can use rising greed readings as an early warning system that justifies defensive measures such as reducing beta exposure, increasing cash allocations, or purchasing portfolio protection through options strategies. The contrarian nature of the indicator means that protective action occurs when markets appear strongest rather than weakest, avoiding the common trap of implementing risk reduction after substantial losses have already occurred. Opportunity Set and Compounding Benefits The opportunity set presented by contrarian sentiment investing derives from persistent behavioral biases that academic research has extensively documented. Extrapolation bias leads investors to assume recent trends will continue indefinitely, causing excessive optimism after gains and excessive pessimism after losses (Greenwood and Shleifer, 2014). Herding behavior amplifies these tendencies as investors observe and mimic the actions of others, creating self reinforcing cycles of buying or selling that push prices away from fundamental values. The Aggregate Bull and Bear Index systematically exploits these patterns by positioning against the prevailing emotional consensus. The compounding benefits of buying during fear merit emphasis. When the indicator signals extreme pessimism, asset prices by definition trade at depressed levels relative to recent history. Investors who accumulate positions at these reduced valuations capture not only potential price recovery but also enhanced long term compound returns from reinvesting dividends and earnings at favorable prices. This mathematical advantage compounds over decades, explaining why legendary investors from Benjamin Graham to Warren Buffett have emphasized the importance of purchasing during periods of market distress despite the psychological difficulty such actions entail. Investor Suitability and Implementation Requirements Regarding suitability, the Aggregate Bull and Bear Index aligns most appropriately with investors possessing specific characteristics. First, a genuinely long term investment horizon measured in years rather than months proves essential. The strategy will underperform during extended bull markets when momentum approaches dominate and will experience painful interim drawdowns during crisis periods. Only investors capable of maintaining positions through these challenging phases will capture the strategy's full return potential. Second, psychological resilience to act against consensus and tolerate portfolio volatility represents a prerequisite. Research by Goetzmann and Kumar (2008) demonstrated that most individual investors lack the temperament for contrarian strategies despite their theoretical appeal. Third, sufficient financial reserves to avoid forced liquidation during drawdowns ensures that temporary price declines do not become permanent capital impairment. The indicator proves less suitable for investors seeking steady returns with minimal volatility, those with short investment horizons or imminent liquidity needs, and individuals whose emotional responses to portfolio fluctuations compromise rational decision making. Institutional investors with quarterly performance pressures may find the strategy incompatible with their governance constraints despite its long term merits. Retirees depending on portfolio withdrawals must carefully consider whether interim drawdowns could force disadvantageous liquidations. For appropriate investors, the Aggregate Bull and Bear Index offers a systematic framework for implementing time tested contrarian principles that have generated superior long term returns across multiple market cycles. By externalizing sentiment assessment into an objective metric, the indicator helps investors overcome the natural human tendency to capitulate at market bottoms and chase performance at market tops. The strategy demands patience, discipline, and genuine long term orientation, but rewards those characteristics with the potential for meaningful wealth accumulation over extended investment horizons. Proprietary Elements and Limitations The proprietary aspects of the indicator's construction reflect both practical and theoretical considerations. From a practical standpoint, maintaining certain methodological details as proprietary preserves the informational advantage that the indicator provides and prevents degradation of signal quality that might occur if widespread adoption prompted market participants to trade directly against the underlying components. From a theoretical perspective, the specific parameter choices and weighting schemes represent empirical findings from extensive research that constitute intellectual property developed through substantial effort. Academic research on sentiment indicators provides encouraging evidence regarding their predictive value while appropriately acknowledging limitations. Baker and Wurgler (2006) demonstrated that investor sentiment predicts the cross section of stock returns, with high sentiment periods followed by lower returns for speculative stocks prone to overvaluation during euphoric conditions. Brown and Cliff (2005) found that sentiment measures contain information about near term market returns beyond that captured by traditional risk factors. However, the same literature cautions that sentiment signals exhibit variable lead times and occasional false positives, reinforcing the importance of using such indicators as part of comprehensive analytical frameworks rather than standalone trading systems. The Aggregate Bull and Bear Index ultimately represents an attempt to bridge the gap between institutional grade sentiment analysis and the tools available to broader investor populations. By providing a systematic framework for assessing collective market psychology, the indicator empowers users to recognize emotional extremes and consider contrarian positioning when conditions warrant. The historical tendency of markets to reverse from extreme sentiment readings creates opportunities for those willing to act against crowd psychology, while the indicator's multi factor construction and quality filters help distinguish genuine extremes from temporary fluctuations. Whether deployed by professional money managers seeking to refine risk management practices or individual investors striving to overcome behavioral biases, the Aggregate Bull and Bear Index offers a valuable perspective on the eternal struggle between fear and greed that drives financial markets. References Baker, M. and Wurgler, J. (2006) Investor sentiment and the cross section of stock returns. The Journal of Finance, 61(4), pp. 1645 to 1680. Bank of America Global Research (2020) The Bull and Bear Indicator: A contrarian timing tool. Bank of America Securities Research Report. Barber, B.M. and Odean, T. (2000) Trading is hazardous to your wealth: The common stock investment performance of individual investors. The Journal of Finance, 55(2), pp. 773 to 806. Barberis, N. and Thaler, R. (2003) A survey of behavioral finance. Handbook of the Economics of Finance, 1, pp. 1053 to 1128. Brown, G.W. and Cliff, M.T. (2005) Investor sentiment and asset valuation. The Journal of Business, 78(2), pp. 405 to 440. De Bondt, W.F.M. and Thaler, R. (1985) Does the stock market overreact? The Journal of Finance, 40(3), pp. 793 to 805. Goetzmann, W.N. and Kumar, A. (2008) Equity portfolio diversification. Review of Finance, 12(3), pp. 433 to 463. Greenwood, R. and Shleifer, A. (2014) Expectations of returns and expected returns. The Review of Financial Studies, 27(3), pp. 714 to 746. Hartnett, M. (2019) Flow Show: Bull and Bear Indicator methodology and applications. Bank of America Merrill Lynch Investment Strategy. Kahneman, D. and Tversky, A. (1979) Prospect theory: An analysis of decision under risk. Econometrica, 47(2), pp. 263 to 291. Odean, T. (1998) Are investors reluctant to realize their losses? The Journal of Finance, 53(5), pp. 1775 to 1798. Shiller, R.J. (2000) Irrational Exuberance. Princeton University Press.
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EdgeTools tarafından
Market State Fear & Greed Bubble Index V1Market State Fear & Greed Bubble Index V1 📊 Comprehensive Market Sentiment Analyzer This advanced indicator measures market psychology through a multi-dimensional scoring system, combining demand/supply pressure, trend momentum, and statistical extremes to identify fear/greed cycles and trading opportunities. 🎯 Core Features Five-Factor Fear & Greed Score Weighted sentiment analysis: Demand/Supply (25%): Real-time buying/selling pressure RSI (25%): Momentum extremes KDJ (20%): Overbought/oversold detection Bollinger Band % (20%): Statistical positioning ADX Trend (10%): Trend strength confirmation Multi-Layer Market State Detection Extreme Fear/Greed: Statistical bubble identification Trend Bias: Bullish/Bearish/Neutral classification Confidence Scoring: Setup reliability assessment Reversal Alerts: Early trend change signals Visual Dashboard Top-right information panel displays: Fear & Greed Score (0-100) Market State Classification Trend Bias & Confidence Signal Quality & Alerts 📈 Key Components Fear & Greed Gauge 0-30: Extreme Fear (buying opportunities) 30-47: Fear (accumulation zones) 47-70: Neutral (consolidation) 70-90: Greed (caution zones) 90-100: Extreme Greed (selling opportunities) Deviation Zones Red Zone (±17.065): Critical reversal areas Yellow Zone (±34.135): Warning levels Blue Zone (±47.72): Statistical extremes where reversals are highly likely. These occur when asset prices are in a bubble that's about to pop. Signal Types Buy/Sell Labels: Primary entry/exit signals Scalp Signals: Short-term opportunities Bottom/Top Detectors: Extreme reversal zones Whale Indicators: Institutional activity markers 🚀 Trading Applications Extreme Fear Setups Conditions: Fear & Greed Score < 34.135 BB% < 0 or < J-inverted line RSI < 34.135 Confidence score > 68% Bullish divergence present Action: Accumulation positions, scaled entries Extreme Greed Setup Conditions: Fear & Greed Score > 68.2 BB% > 100 or > 80 with divergence RSI > 68.2 ADX showing trend exhaustion Multiple timeframe resistance Action: Profit-taking, protective stops Trend Following Bullish Conditions: Sentiment score rising from fear zones DMI+ above DMI- and rising Confidence > 75% Volume supporting moves Bearish Conditions: Sentiment declining from greed zones DMI- above DMI+ and rising Distribution patterns Multiple resistance failures ⚙️ Customization Options Adjustable Parameters: DMI Settings: DI lengths, ADX smoothing KDJ Periods: Customizable sensitivity BB% Range: Statistical band adjustments Smoothing Options: Demand/Supply filtering Alert Thresholds: Custom signal levels Visual Customization: Color schemes for different market states Line thickness and style preferences Information panel display options Alert sound/visual preferences 📊 Signal Interpretation Primary Signals: Green 'B': Strong buy opportunity Red 'S': Strong sell opportunity White 'Scalp': Short-term trade Trade Area: Accumulation/distribution zones Visual Markers: 🔥: Bullish momentum building 🐻: Bear exhaustion building 🐳: Whale/institutional activity Color-coded fills: Market state visualization Confidence Levels: ≥80%: High reliability setups 60-79%: Moderate confidence <60%: Low confidence, avoid or reduce size ⚠️ Risk Management Guidelines Critical Rules: Never trade against extreme sentiment (Extreme Fear → buy, Extreme Greed → sell) Require multiple confirmation signals Use confidence scores for position sizing Avoid When: Conflicting signals between components Low volume participation Confidence score < 50% Major news events pending Extreme volatility conditions 💡 Advanced Strategies Sentiment Cycle Trading Identify sentiment extremes Wait for confirmation reversals Enter with trend confirmation Exit at opposite sentiment extreme Use confidence scores and fear & greed scores to scale: Fear & greed scores < 30 = buy area Fear & greed score > 60 = sell area Trend Momentum Exit: At extreme greed with divergence Enter: At extreme fear with divergence 📊 Market State Classification Five Primary States: EXTREME FEAR (BB% <0, RSI <34, Score <34) FEAR (Score 34-47, bearish momentum) NEUTRAL (Score 47-70, consolidation) GREED (Score 70-90, bullish momentum) EXTREME GREED (Score >90, BB% >100) State Transitions: Fear → Neutral: Early accumulation Neutral → Greed: Trend development Greed → Extreme Greed: Distribution Extreme → Reversal: Trend change 🔍 Information Panel Guide Real-Time Metrics: FEAR & GREED: Current sentiment score Market State: Classification and bias Trend Bias: Bullish/Bearish/Neutral Confidence: Setup reliability percentage Momentum: Current directional strength Volatility: Market condition assessment Signal Quality: Trade recommendation Reversal Imminent: Early warning alerts 🌟 Unique Advantages Psychological Edge: Quantifies market emotion through multiple indicators Identifies bubbles before they pop Provides statistical confidence for each setup Combines technical extremes with sentiment analysis Offers clear visual cues for decision making Professional Features: Multi-timeframe sentiment analysis Real-time confidence scoring Comprehensive alert system Institutional activity detection Clear risk/reward visualization 📚 Educational Value This indicator teaches: Market psychology cycles Statistical extreme identification Multi-indicator confirmation Risk quantification methods Professional trade management Perfect for traders seeking to understand and profit from market sentiment cycles. Disclaimer: For educational purposes. Trading involves risk. Past performance doesn't guarantee future results.
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capableDealer16380 tarafından
Linear Regression Market State IndexStandard Deviation Market Structure Indicator A Comprehensive Multi-Timeframe Market Analysis Tool 🎯 Overview The Standard Deviation Market Structure (SDMS) indicator is a sophisticated technical analysis tool that integrates multiple proven methodologies to identify market structure, trend direction, and potential reversal zones. By combining price action, statistical analysis, and momentum indicators across multiple timeframes, SDMS provides traders with a comprehensive view of market dynamics. ✨ Key Features Multi-Timeframe Integration Primary analysis on current timeframe 1-hour statistical confirmation for support/resistance levels Order block extension across 500 future bars Comprehensive Technical Suite RSI with Deviation Analysis Dynamic Order Block Detection Gaussian Filter Channels Linear Regression with Statistical Bands Standard deviation to detect price outliers Directional Movement Index (DMI/ADX) Bollinger Band % Analysis Support/Resistance Line System Visual Clarity Color-coded signals and zones Automatic level management Clean, intuitive display 📊 Core Components Explained 1. Order Block System What Are Order Blocks? Order blocks are price zones where institutional activity has occurred, creating future support or resistance levels. SDMS automatically detects these critical zones. Detection Logic: Bullish Order Blocks: Form when price breaks above recent highs following bearish candles Bearish Order Blocks: Form when price breaks below recent lows following bullish candles Visual Identification: Green boxes with "BuOB" labels (support zones) Red boxes with "BeOB" labels (resistance zones) Each block shows its boundary price for easy reference Dynamic Management: Automatically extends 300 bars into the future Self-cleaning: removes blocks when price breaches their boundaries Real-time adjustment to changing market structure 2. Statistical Support/Resistance System How It Works: SDMS creates support and resistance lines based on statistical extremes confirmed on the 1-hour timeframe. Trigger Conditions: Support Lines (Green): Trigger when 1H Bollinger Band % crosses above 0 and bearish momentum subsides. Resistance Lines (Red): Trigger when 1H Bollinger Band % crosses below 1 and bullish momentum subsides The Science Behind BB%: BB% = (Price - Lower Band) / (Upper Band - Lower Band) BB% <= 0: Price at statistical oversold extreme; also indicated by white candles. BB% > 1: Price at statistical overbought extreme; also indicated by white candles. Line Management: Maximum of 15 active lines Oldest lines automatically removed Lines extend across chart for ongoing reference 3. Trend Analysis Suite Hull Moving Average (HMA): 55-period smoothed trend indicator Color-coded: Green = bullish, Red = bearish Visual band shows trend acceleration/deceleration Gaussian Channel: Advanced filtering of market noise Dynamic channel based on true range volatility Helps identify mean reversion opportunities Form a yellow band when price is overbought or oversold zones. Linear Regression System: Statistical price modeling Multiple standard deviation bands (up to 3SD) Regression-based candlestick visualization Candles turn white when in overbought zones. Yellow candles indicate extremely overbought zones. Blue candles indicate a bullish trend with high volume. Bearish candles are bluish-purple when volume is high and red when the volume is within normal ranges or low. 4. Momentum & Oscillator Integration RSI with Deviation Tracking: 21-period RSI with 30-period smoothing Tracks deviation from moving average based off linear regression Identifies momentum divergences Directional Movement Index: Multi-period DMI/ADX analysis Used to detect overbought and oversold zones within the indicator calculations. Combines with RSI for enhanced signals Momentum confirmation for all entries/exits 🎯 Trading Signals & Alerts Buy Signals (Yellow "Buy" Labels) Multi-Condition Confirmation Required: RSI Oversold Reversal: RSI crosses above 30 Trend Alignment: HMA showing bullish structure Momentum Confirmation: DMI alignment Statistical Support: Price at or near support zones Risk Management: Multiple confirming indicators Strong Buy Conditions: Confluence of order block support + BB% support line Multiple timeframe alignment Volume confirmation at key levels Sell Signals (Red/Yellow "Sell" Labels) Multi-Condition Confirmation Required: RSI Overbought Reversal: RSI crosses below 70 Trend Exhaustion: HMA showing bearish structure Momentum Divergence: DMI bearish alignment Statistical Resistance: Price at or near resistance zones Timeframe Confirmation: 1H BB% bearish signals Strong Sell Conditions: Confluence of order block resistance + BB% resistance line Multiple timeframe distribution Volume surge at resistance Additional Alerts RSI Divergence Signals: Triangles showing momentum shifts Extreme Price Alerts: Circles at statistical extremes Structure Breaks: Visual cues for order block violations 🎨 Visual System Guide Color Coding System Green: Bullish conditions, support zones, rising trends Red: Bearish conditions, resistance zones, falling trends Blue: Statistical channels, neutral zones Yellow: Alert conditions, extreme signals White: Transition zones, neutral signals Zone Identification Buying Pressure Zones: Green/blue tinted areas below price or white candles with white dots within the moving average center line Selling Pressure Zones: Red tinted areas above price with white dots within the moving average center line Standard Deviation Zones: Gradient colors showing statistical extremes ⚙️ Customization Options Adjustable Parameters RSI Settings: Period, oversold/overbought levels, sensitivity Order Block Detection: Lookback period, ATR multiplier, extension Statistical Settings: Gaussian filter poles, regression periods Support/Resistance: Maximum lines, BB% settings Visual Preferences: Colors, band displays, alert styles Input Groups RSI Trading Strategy Order Block Configuration Gaussian Channel Settings Linear Regression Parameters DMI/ADX Configuration Bollinger Band % Settings 📈 Practical Trading Applications For Swing Traders Identify Key Levels: Use order blocks + BB% lines for entry/exit planning Trend Confirmation: HMA + Gaussian channel for trend direction Risk Management: Standard deviation bands for stop placement Timing Entries: RSI/DMI alignment for optimal entry timing For Day Traders Intraday Levels: Order blocks provide immediate S/R for day trading Momentum Signals: Real-time RSI/DMI signals for quick moves Statistical Edges: Gaussian channel for mean reversion plays Breakout Confirmation: Order block breaks with volume For Position Traders Higher Timeframe Structure: 1H BB% lines for major levels Trend Persistence: HMA for long-term trend identification Accumulation/Distribution Zones: Order blocks show institutional activity Multi-Timeframe Alignment: Confirmation across timeframes 🔍 How to Use SDMS Effectively Step 1: Market Structure Assessment Identify active order blocks (green/red boxes) Note BB% support/resistance lines (horizontal lines) Assess HMA and moving average trend direction (color) Check Gaussian channel position (preferably outside 2SD) Step 2: Signal Confirmation Wait for multiple indicator alignment look for doji candles. Confirm with green (bullish) or red (bearish) candles Confirm with volume if available Check for confluence of levels Assess risk/reward based on nearby levels Step 3: Trade Management Enter at confirmed support/resistance Place stops beyond opposite levels Take profits at next statistical level Monitor for structure changes Step 4: Risk Management Use standard deviation bands for volatility assessment Never risk more than 1-2% per trade Adjust position size based on confluence strength Have predefined exit rules 💡 Advanced Strategies Strategy 1: Confluence Trading Setup: Order block + BB% line at same level Entry: Price tests confluence zone with RSI signal Stop: Beyond the confluence zone Target: Next statistical level Strategy 2: Breakout Trading Setup: Price approaching order block boundary Entry: Break with volume + RSI/DMI confirmation Stop: Re-entry into order block Target: Next BB% line extension Strategy 3: Mean Reversion Setup: Price at Gaussian channel extremes Entry: RSI reversal signal at channel boundary Stop: Beyond channel extreme Target: Channel midline or opposite boundary ⚠️ Important Considerations Best Market Conditions Trending Markets: Excellent performance in clear trends Breakout Scenarios: Strong identification of break levels Range Markets: Works well with defined ranges Limitations Choppy Markets: May give false signals in consolidation News Events: Fundamental shocks can override technical levels Timeframe Specific: Optimal on 15-minute to daily charts Risk Management Rules Always use stops Never rely on single signals Consider market context Adjust for volatility changes Keep position sizes consistent 🔧 Technical Specifications Maximum Lines: 500 Maximum Bars Back: 1000 Maximum Boxes: 500 Calculation Efficiency: Optimized for real-time use 🏆 Why SDMS Stands Out Unique Advantages Integrated Approach: Combines multiple methodologies into one tool Self-Adjusting: Automatically adapts to market changes Multi-Timeframe: Provides both immediate and higher timeframe context Visual Clarity: Clean, intuitive display of complex data Professional Grade: Institutional-level analysis accessible to all traders Educational Value: Learn how different indicators interact Understand market structure development See institutional order flow patterns Develop disciplined trading habits 📚 Learning Resources Recommended Study Approach Start Simple: Focus on order blocks and BB% lines first Add Complexity: Gradually incorporate other indicators Paper Trade: Practice without risk Keep Journal: Document setups and outcomes Review Regularly: Analyze both wins and losses Common Pitfalls to Avoid Overtrading: Wait for high-quality setups Ignoring Context: Consider overall market conditions Chasing Signals: Enter at planned levels, not after moves Risk Mismanagement: Always know your risk before entering Confirmation Bias: Be objective about signals 🤝 Community & Support Getting the Most from SDMS Start with Defaults: Use default settings initially Adjust Gradually: Make small changes as you understand the tool Combine with Fundamentals: Use for timing within fundamental context Stay Disciplined: Follow your trading plan consistently Continuous Improvement SDMS is designed for continuous learning. As you use the indicator, you'll develop insights into: Market microstructure Institutional trading patterns Statistical edge identification Risk management optimization Risk management is more important than signal accuracy Patience is required for high-quality setups Success Factors Discipline: Following your plan consistently Patience: Waiting for proper setups Risk Management: Protecting your capital Continuous Learning: Improving your skills over time 🌟 Final Thoughts The Standard Deviation Market Structure indicator represents a sophisticated approach to technical analysis, combining the best elements of price action, statistical analysis, and momentum indicators. While powerful, remember that no indicator guarantees success. SDMS is a tool – your skill, discipline, and risk management determine your trading results. Use SDMS as part of a comprehensive trading plan, combine it with proper risk management, and continue developing your trading skills. The markets are always teaching – stay humble, stay disciplined, and trade well. Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Trading involves risk of loss. Always consult with a qualified financial professional before making investment decisions.
Pine Script® göstergesi
capableDealer16380 tarafından
SMC + Dual UT Bot buy and sell AlertsMise a jour avec un EMA 20/50 et vwap his script is a composite indicator for TradingView (Pine Script v5) that merges Smart Money Concepts (SMC) with a Dual-instance UT Bot. It has been styled with a high-contrast "Neon Cyberpunk" theme (Cyan/Pink) and is fully compliant with the CC BY-NC-SA 4.0 license. Here is a breakdown of its two main components: 1. Smart Money Concepts (SMC) This portion, originally by LuxAlgo, is designed to identify institutional price levels and structural market shifts. It provides a detailed map of market structure rather than simple entry/exit signals. Market Structure (BOS & CHoCH): BOS (Break of Structure): Marks trend continuation (e.g., breaking a higher high in an uptrend). CHoCH (Change of Character): Marks potential trend reversals (e.g., the first time a higher low is broken in an uptrend). Order Blocks (OB): Highlights specific candles where institutional buying or selling likely occurred. These act as high-probability support/resistance zones. Neon Blue/Cyan for Bullish OBs. Neon Pink for Bearish OBs. Fair Value Gaps (FVG): Identifies imbalances (gaps) in price action where the market often returns to "fill" orders. Neon Mint for Bullish FVGs. Neon Red for Bearish FVGs. Premium/Discount Zones: Automatically plots the range equilibrium (50% level) to help you buy in "Discount" (low) and sell in "Premium" (high) areas. Liquidity (EQH/EQL): Automatically detects "Equal Highs" and "Equal Lows," which are magnets for price as they represent liquidity pools (stop losses). 2. Dual UT Bot Alerts This portion provides the actual Entry Signals. It runs two separate instances of the "UT Bot" strategy simultaneously with different sensitivity settings to filter noise. Instance 1 (Buy Only): Settings: Key Value = 4, ATR Period = 10 (Faster, more sensitive). Visual: Plots a Neon Cyan "Buy" label. Function: Looks for bullish reversals earlier to catch the start of a move. Instance 2 (Sell Only): Settings: Key Value = 7, ATR Period = 20 (Slower, smoother). Visual: Plots a Neon Pink "Sell" label. Function: Uses a wider ATR band to avoid getting shaken out of shorts too early, focusing on major downtrends. How to Use It The strength of this script is confluence. Wait for a Signal: Look for a UT Bot "Buy" or "Sell" tag. Confirm with SMC: Check if the signal aligns with SMC concepts. Example Buy: Did the UT Bot give a "Buy" signal while price was bouncing off a Bullish Order Block? Example Buy: Did price just sweep Liquidity (EQL) before the Buy signal? Example Sell: Is the "Sell" signal happening inside a Premium Zone or a Bearish Fair Value Gap? avant-hier Notes de version 1. "Pro" Badge Buy/Sell Labels The standard text signals have been replaced with modern, professional Badge Labels that provide more information at a glance. Visuals: Instead of simple text, the script now uses label.new to create high-visibility badges. BUY: A Neon Cyan badge with a Rocket icon (🚀). SELL: A Neon Pink badge with a Chart icon (📉). Price Details: Each badge displays the exact Entry Price directly on the label. Tooltips: If you hover your mouse over a Buy or Sell badge, a tooltip will appear showing the exact Take Profit (TP) and Stop Loss (SL) prices calculated for that trade. 2. Dynamic Take Profit (TP) The script now automatically calculates a profit target for every trade the moment a signal is generated. Calculation: It measures the distance between your Entry Price and the initial Stop Loss (the ATR Trailing Stop). Risk:Reward: It multiplies that distance by your chosen Risk:Reward Ratio (default is 1.5) to project a TP target. Visual Line: A Green Line is drawn on the chart at the TP level. It remains active until price hits it or the stop loss. 3. Active Trailing Stop Loss (SL) The Stop Loss is no longer static; it is now "alive" and manages the trade for you. Trailing Logic: If Use Trailing SL? is enabled (default), the SL line will automatically move up (for longs) or move down (for shorts) as the trend continues in your favor. It locks in profit by following the UT Bot's ATR trailing band. Visual Line: A Red Line is drawn at the SL level. You can see it physically step up or down on the chart as the trend progresses. 4. Real-Time Trade Simulation The script now simulates the lifecycle of a trade directly on the chart: Active State: When a trade is live, the TP and SL lines extend to the right of the current candle (bar_index + 1), showing you exactly where your exit points are in real-time. Closed State: Once the price hits either the Green TP line or the Red SL line, the script detects the "Exit." The lines stop extending and turn dotted, indicating that the trade is closed and waiting for the next signal. Summary of New Settings You will find a new group in the settings panel called "UT Bot: Trade Management": TP Risk:Reward Ratio: Adjust this to change how far the Green TP line is placed (e.g., set to 2.0 for 2x return). Use Trailing SL?: Uncheck this if you want the Red SL line to stay fixed at the initial entry risk level. avant-hier Notes de version 1. Live Strategy Performance Dashboard (Backtester) Since this is an indicator, TradingView does not automatically calculate PnL (Profit and Loss). I have built a custom Simulation Engine inside the script that tracks every UT Bot signal as if you had taken the trade. Location: Bottom Right of your chart. Win Rate: Displays the percentage of trades that hit the Take Profit target versus the Stop Loss. Trades (W/L): Shows the total number of signals generated, broken down by Wins and Losses. Net Profit (R): Calculates your theoretical profit in "R-Multiples" (Risk Units). Example: If you set your Risk:Reward to 2.0, every win adds +2R, and every loss subtracts -1R. Dynamic Colors: The Win Rate and Profit cells turn Neon Cyan if positive (>50% or >0R) and Neon Pink if negative. 2. Multi-Timeframe Trend Dashboard A new panel at the Top Right gives you an instant "Market Bias" reading so you don't have to scan the whole chart. SMC Trend: Reads the Smart Money structure (Break of Structure/Change of Character) to determine if the high-level timeframe is BULLISH or BEARISH. UT Bot Status: Displays the current active signal state: BUY (Active): You are currently in a Long trade. SELL (Active): You are currently in a Short trade. NEUTRAL: No active signal or the last trade hit TP/SL. 3. Integrated Alert System I have connected the visual lines to the alert system. You can now set a single alert on this indicator, and it will trigger for: Entry Signals: "UT Long Entry" / "UT Short Entry" Exits: "Take Profit Hit" / "Stop Loss Hit" 4. Consolidated Settings To make the script easier to manage, I organized the settings into clear groups: Dashboards: Toggle the visibility of the new panels or move the Performance Panel to a different corner. UT Bot: Trade Management: Quickly adjust your Risk:Reward Ratio (e.g., change from 1.5 to 2.0) to see how it affects your Win Rate in real-time on the dashboard. avant-hier Notes de version 1. Multi-Timeframe (MTF) Trend Scanner I have replaced the basic "Market Bias" panel with a comprehensive MTF Trend Dashboard located at the Top Right of your chart. What it tracks: It simultaneously monitors the trend direction on 5 distinct timeframes: 15 Minute 1 Hour 4 Hour Daily Weekly How it works: It runs a background calculation (using UT Bot settings Key=5, ATR=15) on these higher timeframes without you needing to switch charts. Visuals: BULLISH: Highlighted in Neon Cyan. BEARISH: Highlighted in Neon Pink. 2. Strategic Confluence (How to use it) This new dashboard transforms the script from a simple "signal generator" into a complete trading system by allowing you to filter trades based on the bigger picture. The "All-Green" Rule: If you are scalping on a 5-minute chart and you get a BUY signal, check the dashboard. If the 1H, 4H, and Daily are all Neon Cyan (Bullish), that trade has a significantly higher probability of success. Avoid Counter-Trend Trades: If your main chart says BUY, but the dashboard shows the 4H and Daily are Neon Pink (Bearish), you are trading against the major trend. You might want to skip that trade or reduce your risk size. 3. Summary of Dashboards You now have two professional-grade panels on your screen: Bottom Right (Performance): Shows the past results of the strategy on your current timeframe (Win Rate, Profit Factor). Top Right (Trend): Shows the current state of the market across all timeframes.
Pine Script® göstergesi
stephneguiroa tarafından
1
Mi script📝 DESCRIPTION This indicator is based on the WaveTrend oscillator, designed as a momentum and timing filter, not as an automatic trading system. The logic is simple and disciplined: 📊 Mid-range zone → no trades 🔴 Upper zones → look for short opportunities only with confluence 🟢 Lower zones → look for long opportunities only with confluence WaveTrend cross signals are used only as confirmation, never as standalone entries. Features included: Main WaveTrend line + signal line Clear overbought and oversold zones Optional histogram Candle coloring for quick market reading Customizable alerts This indicator is intended to be combined with: RSI Stochastic Market structure Support and resistance levels ⚠️ Not financial advice. For educational purposes only. Use at your own risk
Pine Script® göstergesi
cryptonyoficial tarafından
P/E, EPS, Price & Price-to-Sales DisplayThis indicator displays key fundamental valuation metrics for the selected stock. It shows: Earnings Per Share (EPS) Price-to-Earnings (P/E) ratio Calculated theoretical price based on P/E × EPS Price-to-Sales (P/S) ratio These values help traders quickly assess valuation without switching to separate financial panels. 🛠 Instructions for Use Add the indicator to your chart. Click on the three dots (⋯) next to the indicator name. Select Move to → New pane above. Minimize the indicator pane to display only the numerical values. Hide the plotted lines if you want a clean, numbers-only view. This setup allows you to monitor fundamental metrics efficiently without cluttering the price chart.
Pine Script® göstergesi
namovenkatashiva1 tarafından
COT Commercials Base vs Quote Strength (Dynamic)This indicator measures and compares Commercial (Smart Money) positions of the Base and Quote currencies in a Forex pair, displaying their relative strength as a smooth, dynamic line. It calculates a 0–100 strength index: 100 → Base Commercials are strongly dominant (bullish for the pair) 50 → Neutral, no clear dominance 0 → Quote Commercials are strongly dominant (bearish for the pair) Unlike traditional binary COT signals, this indicator shows continuous changes in positioning. Small shifts in Commercial activity slightly move the line, while larger imbalances push it toward the extremes. This makes it ideal for: Identifying trend strength and market bias Spotting early reversals and divergences Confirming breakouts or trend continuation Understanding the relative influence of Smart Money in Forex markets It provides a clear, real-time view of which currency in a pair is favored by Commercial traders, giving a professional edge in market analysis.
Pine Script® göstergesi
Tim234 tarafından
Sultan Gold Levels (SMC, Sessions & Structure)This indicator is a comprehensive "Smart Money Concepts" (SMC) and Market Structure suite designed to declutter charts by combining multiple technical analysis tools into a single, cohesive overlay. Instead of using separate indicators for Sessions, Market Structure, and Fibonacci levels, this script integrates them to help traders identify "Confluence" areas—specifically where structural levels align with session opens or psychological price points. █ HOW IT WORKS & CALCULATIONS 1. Market Structure (BOS / CHoCH): The script utilizes a Pivot High/Low algorithm (user-defined length, default 5) to identify structural points (HH, LL, LH, HL). - Break of Structure (BOS): Triggered when price closes beyond a previous pivot. The script includes a "Real vs. Fake" validation filter. - Validation Logic: A "Real" BOS requires the candle body to close past the level with specific volume and displacement thresholds (ATR based). Wicks piercing a level are marked as "Fake" or weak breaks. 2. Order Blocks (OB) & FVG: - Order Blocks are identified by analyzing the last opposing candle before a significant move that breaks structure. The script filters these based on a volume/ATR strength multiplier to ensure only significant institutional candles are highlighted. - Mitigation: The script automatically removes Order Blocks once price has revisited (mitigated) them, keeping the chart clean. 3. Session Ranges: The script tracks and plots the Highs and Lows of major trading sessions (Asian, London, New York). - Logic: It uses `time()` functions to capture the highest and lowest points during specific UTC hours. These levels often act as liquidity pools for the subsequent session. 4. Fibonacci & Liquidity: - Auto-Fibonacci: Automatically anchors to the most recent significant swing high/low sequence to project retracement levels (specifically the 50% and 61.8% "Golden Pocket"). - Liquidity: Detects "Equal Highs" (EQH) and "Equal Lows" (EQL) by comparing adjacent pivot points within a percentage threshold (0.15% default), highlighting areas where stop-losses may reside. █ FEATURES - Multi-Timeframe Dashboard: Displays trend bias (D1, H4, H1) and current session status. - Previous Day/Week/Month Levels: Auto-plots PDH/PDL, PWH/PWL as static support/resistance lines. - Psychological Levels: Auto-plots round numbers (e.g., xx00, xx50). - Customizable Alerts: Alerts for BOS, OB formation, and level touches. █ SETTINGS - Structure Length: Adjusts the sensitivity of the pivot detection. - Session Times: Fully customizable time inputs for Asia/London/NY. - Styling: Toggle specific elements (like Sessions or FVGs) on/off to suit your trading style. █ CREDITS This script utilizes standard Smart Money Concept theories widely discussed in the technical analysis community. The pivot detection logic is based on standard high/low comparisons common in Pine Script open-source libraries.
Pine Script® göstergesi
Sultan-of-Multan tarafından
[MetaMasters] COT INDEXThe COT Index converts the weekly net positions of Commercial traders into a normalized, cycle-based mathematical model. Rather than showing raw net positioning, the COT Index applies a cyclical normalization algorithm—most commonly over 26 weeks, with 52 weeks as an alternative. This process highlights bullish and bearish extremes in Commercial behavior more clearly. The resulting index is displayed as a color-coded line: • Green Zone – Commercials classified as bullish. Historically, strong Commercial buying activity often coincides with upward market pressure. • Red Zone – Commercials classified as bearish. This typically reflects increased downside pressure in the underlying market. • Neutral Zone – No clear directional bias; positioning sits in the mid-range. Because COT data is updated only once per week and the index is derived from multi-week cyclical analysis, the indicator is designed strictly for the weekly timeframe. Lower timeframes do not align with the structure or cadence of the underlying data. The chosen cycle length (commonly 26 or 52 weeks) determines how net positions are compared and normalized, influencing how quickly the index reaches its extreme zones. Overall, the COT Index offers an objective, systematic way to interpret Commercial trader sentiment and identify potential directional bias in the market.
Pine Script® göstergesi
vxqpe tarafından
[MetaMasters] Asset Value Comparisson OscillatorThe Asset Value Comparison Oscillator evaluates the currently opened asset against a user-selected reference symbol to highlight periods of relative overvaluation or undervaluation. Its logic follows the principle that markets continually gravitate toward fair value. When an asset strays too far from a meaningful benchmark, it typically reverts toward equilibrium. This indicator captures that relationship and converts it into a clear, visual oscillator: • Green Zone (Undervalued) – Indicates the asset is priced lower than the reference symbol. This suggests potential upward pressure as markets often correct undervalued conditions. • Red Zone (Overvalued) – Indicates the asset is priced higher than the reference symbol. This may signal increased chances of a downward move as the asset seeks balance. Users can assign any reference instrument—commodities, indices, currency pairs, or other assets. The oscillator measures valuation gaps using a configurable cycle length; a Cycle setting of 10 is recommended for balanced and responsive signals. Because the indicator reflects broader valuation behavior, it is intended exclusively for the daily timeframe, as lower intervals may fail to capture meaningful fundamental relationships. Overall, the Asset Value Comparison Oscillator helps traders spot when an asset appears cheap or expensive relative to another, adding a layer of fundamental insight to strengthen directional trading decisions.
Pine Script® göstergesi
vxqpe tarafından
[MetaMasters] SeasonalityThe Seasonality Indicator evaluates the average historical performance of the selected asset by analyzing a user-defined number of past years (for example, the last 10). You can adjust the number of years included in the calculation directly from the settings panel. Using this historical window, the indicator generates an average seasonal curve that reflects how the market has typically behaved throughout each part of the year. This curve serves as a forward-looking guide, highlighting periods in which the market has historically shown consistent tendencies. Traders can use this seasonal projection to pinpoint time periods with a higher statistical likelihood of upward or downward movement. The indicator is especially effective when paired with the Seasonality Analysis Tool, which helps identify specific historical windows and further strengthens seasonal decision-making. This indicator is designed exclusively for the daily timeframe, as all calculations rely on daily candle data. Other timeframes will not produce accurate seasonal structures. Overall, the Seasonality Indicator offers a clear, data-driven view of recurring annual patterns, helping traders understand when historical tendencies may influence future price action.
Pine Script® göstergesi
vxqpe tarafından
***CILGIN INDIKATOR***ÇILGIN INDICATOR – User Guide OVERVIEW ÇILGIN INDICATOR is a multi-layer trend and momentum confirmation tool designed for discretionary traders. It combines Relative RSI, EMA structure, SuperTrend logic, Momentum, and optional CCI & ADX filters into a single visual system. Purpose: Filter market noise, confirm trend strength, and highlight high-probability Buy / Sell zones. The indicator works on all symbols and all timeframes. RELATIVE RSI & MOMENTUM The indicator can work in two modes: NORMAL MODE (Formula OFF) RSI is calculated directly from the chart symbol. FORMULA MODE (Formula ON) RSI is calculated from a relative price formula: Base Symbol / Denominator 1 / Denominator 2 This allows relative strength analysis against indices, sectors, or benchmarks. RSI SIGNAL LOGIC RSI Signal Line = SMA of RSI RSI 50 Level = Trend bias reference BUY SIGNAL RSI crosses above the signal line Optional: RSI must also cross above 50 (Double Confirmation) SELL SIGNAL RSI crosses below the signal line Optional: RSI must also cross below 50 Small arrows on the chart represent RSI-based Buy and Sell signals. EMA STRUCTURE Five adaptive EMAs are plotted: EMA 1 EMA 5 EMA 21 EMA 50 EMA 100 EMA lengths automatically adapt to timeframe speed. EMA BUY LOGIC Fast EMA crosses above any slower EMA. EMA SELL LOGIC Fast EMA crosses below any slower EMA. EMAs define: Trend direction Dynamic support and resistance Momentum shifts SUPERTREND SYSTEM A custom ATR-based SuperTrend is used. Features: Optional candle wick usage Dynamic trailing stop Visual Buy / Sell labels SUPERTREND BUY Trend flips from bearish to bullish. SUPERTREND SELL Trend flips from bullish to bearish. Colored zones visualize the active trend direction. STRONG BUY & STRONG SELL SIGNALS A Strong Signal is generated only when multiple conditions agree. STRONG BUY RSI Buy Signal SuperTrend Buy Signal Optional CCI Filter confirmation Optional ADX Filter confirmation STRONG SELL RSI Sell Signal SuperTrend Sell Signal Optional CCI Filter confirmation Optional ADX Filter confirmation Strong signals are displayed as large labeled markers: “STRONG BUY” “STRONG SELL” Designed for trend-following entries, not market noise. CCI & ADX FILTERS (OPTIONAL) CCI FILTER Buy allowed only if CCI > 0 Sell allowed only if CCI < 0 ADX FILTER ADX must be above minimum level Direction confirmed using +DI and -DI These filters help avoid sideways markets and weak trends. INFORMATION PANELS PANEL A (Top Right) Daily percentage change Weekly percentage change Monthly percentage change Daily volume (millions) PANEL B (Bottom Right) Relative RSI value RSI signal value Relative momentum Market status (Bull / Bear) Provides instant market context without extra indicators. ALERTS Built-in alerts are available for: STRONG BUY STRONG SELL Suitable for automation and watchlist monitoring. BEST PRACTICES Use Formula Mode for relative strength analysis Enable CCI & ADX filters on higher timeframes Combine signals with price action and key levels Do not use as a standalone trading system DISCLAIMER This indicator is a decision-support tool and does not provide financial advice. Always manage risk and confirm signals with your own analysis.
Pine Script® göstergesi
metinnitem tarafından