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The Order Flow Key LevelsThe Order Flow Key Levels — Liquidity-Based Support & Resistance The Order Flow Key Levels is a closed-source indicator that plots participation-based key levels directly on the chart as clean, horizontal lines. The goal is to help traders quickly identify key levels formed by high participation, using the interaction between price movement and executed volume. What you see on the chart The indicator draws horizontal key level lines at prices where meaningful trading activity has occurred and where price has historically shown a reaction. These lines are intended to be used as context—areas where price may pause, reject, or accept and continue. How it works (high level) At a conceptual level, the tool evaluates: Executed volume concentration at specific price levels Repeated interaction at those levels over time (participation “revisits”) Price response to participation, distinguishing between acceptance vs rejection behavior Key levels are formed from completed execution data and are designed to be non-repainting, meaning once a level is confirmed and plotted, it remains stable rather than shifting retroactively. The indicator does not predict future price direction; it provides structure and confirmation based on participation. How traders use it Treat the plotted lines as high liquidity zones Look for acceptance above/below a level as directional confirmation Use levels for entries, exits, and trade management, including defining invalidation areas beyond a level Monitor market structure as price transitions between levels (break, hold, retest, rejection) The Order Flow Key Levels is built for futures, crypto, CFDs, and other high-liquidity markets, where executed volume-based participation can provide meaningful context. While the indicator uses established price and volume concepts, it applies a proprietary methodology for identifying and filtering participation-based key levels, helping reduce noise compared to traditional support/resistance tools.
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MasterOrderFlow tarafından
BOS + Golden Pocket Signal (ONLY 1H)Ye TradingView indicator Break of Structure (BOS) ke baad Fibonacci Golden Pocket (0.618–0.65) par BUY / SELL signal deta hai. 🔹 Timeframe: 1 Houre 🔹 Entry Type: Candle CLOSE pe signal 🔹 Logic: – Bullish BOS ke baad price jab Golden Pocket me close kare → BUY – Bearish BOS ke baad price jab Golden Pocket me close kare → SELL 🔹 Non-Repaint indicator 🔹 SL / TP manually use karna hai 🔹 Crypto / Forex / Stocks sab pe kaam karta hai ⚠️ Indicator sirf signal deta hai, risk management trader khud kare
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Sarfaraz-trades tarafından
1
Sarfaraz magig IndicatorThis TradingView indicator generates BUY and SELL signals based on the crossover of Exponential Moving Averages (EMA 9 & EMA 50). 🔹 Indicator Logic: – When EMA 9 crosses ABOVE EMA 50 → BUY signal – When EMA 9 crosses BELOW EMA 50 → SELL signal 🔹 Designed to capture trend direction and momentum 🔹 Helps identify trend reversals and continuation trades 🔹 Signals are generated only after confirmed crossover 🔹 Non-repaint indicator 🔹 Suitable for: Crypto Forex Stocks 🔹 Works well on 5m, 15m, 1h timeframes ⚠️ This indicator provides signals only. Stop Loss, Take Profit, and risk management must be applied manually by the trader.
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Sarfaraz-trades tarafından
1
BOS + Golden Pocket Signal (15m\1H)This TradingView indicator provides BUY / SELL signals after a confirmed Break of Structure (BOS) at the Fibonacci Golden Pocket (0.618–0.65). 🔹 Timeframe: 15 Minutes 🔹 Entry Type: Signal is generated on candle close 🔹 Logic: – After a Bullish BOS, when price closes inside the Golden Pocket → BUY signal – After a Bearish BOS, when price closes inside the Golden Pocket → SELL signal 🔹 Non-repaint indicator 🔹 Stop Loss / Take Profit to be managed manually 🔹 Works on Crypto, Forex, and Stock markets ⚠️ This indicator provides signals only. Risk management and trade execution are the trader’s responsibility.
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Sarfaraz-trades tarafından
1
Finlu CONTINUACION PROFinlu CONTINUACIÓN PRO is an oscillator designed to detect trend continuation signals after a pullback. The logic is based on: A normalized momentum similar to Finlu Momentum PRO. A central neutral zone: when momentum pulls back into this zone without fully changing direction, it is treated as a pullback within the trend. Internal impulse levels (1, 2 and 3) to distinguish mild pullbacks from strong impulses. A signal line used to confirm crossovers or separation between the main line and the signal. An optional directional filter (DMI/ADX-style) that checks trend strength before allowing a signal. Typical usage conditions: Bullish continuation signals when there is prior upside momentum, the oscillator pulls back into the neutral zone and then turns up again, meeting the crossover/separation condition and the directional filter. Bearish continuation signals in the opposite scenario. The colored background shows the dominant side of momentum and helps visualize which sections of the chart favor long or short setups. This indicator is intended as a support tool for traders already working with market structure and supply/demand zones. It does not guarantee results and does not replace risk management or the trader’s own judgement.
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Technical2024 tarafından
Finlu Momentum PROFinlu Momentum PRO is a momentum oscillator designed to detect exhaustion zones and potential short-term reversals. The indicator calculates a smoothed momentum from price changes and normalizes it around 0. On top of that momentum, it builds: Overbought and oversold levels: when the main line enters these zones, it highlights extreme momentum conditions. Central neutral zone: helps distinguish strong momentum phases from consolidation phases. Signal line: a moving average of the momentum itself, used to confirm crossovers and exits from extreme zones. Repetition filters: limit the number of consecutive signals to reduce noise when the market is ranging. Reversal detection: additional conditions that require momentum to turn from extreme zones before enabling a signal. Divergences: compares price highs and lows with the momentum line to highlight potential exhaustion of the move. Basic usage: Sell signals when momentum comes from overbought, loses strength and crosses below the signal line, while passing the reversal and repetition filters. Buy signals when the opposite occurs from oversold levels. Bearish divergences appear when price makes a higher high, but momentum makes a lower high. Bullish divergences appear when price makes lower lows, but momentum makes higher lows. This indicator is designed to be combined with your own price-action and market structure analysis. It is not a buy/sell recommendation or a standalone automated system. The user remains fully responsible for risk management, instrument selection and timeframe choice.
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Technical2024 tarafından
Volatility Term Structure IndexVolatility Term Structure Index The Volatility Term Structure Index represents a systematic approach to measuring market stress and complacency through the analysis of volatility derivatives and their term structure relationships. This indicator draws conceptual inspiration from academic research on volatility forecasting and the informational content embedded in options markets. The theoretical foundation rests on decades of research documenting the relationship between implied volatility patterns and subsequent market returns. Black (1976) first documented the inverse relationship between equity returns and volatility changes, establishing a fundamental principle in financial economics. Whaley (2000) demonstrated how volatility indices reflect aggregate market fear and uncertainty, with systematic patterns preceding major market dislocations. Engle (2004) provided foundational work on volatility modeling that underpins modern risk measurement approaches. Unlike momentum strategies that follow price trends or contrarian approaches that bet against prevailing sentiment, this indicator operates on regime-identification principles. The relationship between short-term and long-term implied volatility reveals market expectations about risk evolution. When markets expect calm conditions to persist, the volatility term structure typically exhibits an upward slope. When stress emerges, this relationship inverts as near-term uncertainty exceeds longer-term expectations. This structural information reflects the aggregate positioning of sophisticated derivatives market participants. Methodology and calculation framework The methodology incorporates statistical normalization techniques that transform raw volatility data into comparable standardized scores. Each component factor undergoes robust z-score calculation using median absolute deviation to reduce sensitivity to outliers, a technique that proves particularly valuable during market stress when traditional standard deviation measures become unreliable. These normalized components aggregate using a weighting scheme informed by historical predictive power and correlation characteristics. The indicator produces values on a scale from zero to one hundred, where higher readings indicate calm market conditions and lower readings signal elevated stress. Readings above seventy suggest complacent environments where equity markets typically perform well. The zone between forty and seventy represents mixed conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions. Internal quality mechanisms enhance signal reliability by requiring confirmation across multiple underlying factors before generating actionable signals. This reduces the probability of acting on isolated or unreliable readings and improves overall signal consistency. Professional application and portfolio integration Professional portfolio managers recognize the value of volatility regime indicators for risk management and tactical allocation. The fundamental insight is empirically robust: periods of low and stable volatility create supportive environments for equities, while regime transitions and elevated uncertainty warrant caution. Bollerslev, Tauchen and Zhou (2009) found that variance risk premium significantly predicts equity market returns, with volatility conditions leading price performance. For institutional investors, the index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or tactical allocation adjustments. The indicator proves valuable when it diverges from consensus narratives, as volatility markets often recognize fundamental shifts before they appear in prices. Systematic investors can incorporate the index as a conditioning variable for position sizing. This integration finds support in the concept that derivatives markets often lead equity markets. Options market participants including market makers and institutional hedgers frequently possess informational advantages regarding expected market movements and tail risk. Practical implementation for individual investors When the index rises into the favorable zone above seventy with confirmed signal quality, volatility conditions support equity exposure. When the index falls below forty, reducing allocations, increasing cash reserves, or implementing protective strategies becomes appropriate. The zone between these thresholds suggests mixed conditions where other analytical frameworks should take precedence. Individual investors can treat readings as alerts warranting portfolio examination. A favorable reading might prompt consideration of whether current equity exposure aligns with targets. A stress reading could trigger review of risk reduction measures. The indicator should inform rather than dictate decisions, serving as one perspective within a broader analytical framework. Fundamental investors can use volatility readings to assess whether the risk environment supports their positioning. Technical analysts may find that volatility conditions help contextualize price patterns. Quantitative investors might incorporate volatility factors into multi-factor models. Trading behavior and strategy characteristics The index employs a regime-based methodology identifying periods when market conditions favor risk exposure versus caution. The trading logic accumulates positions when volatility conditions indicate calm environments and reduces exposure when conditions deteriorate. This approach positions with prevailing volatility market signals, recognizing that volatility regimes exhibit meaningful persistence. The indicator may signal favorable conditions while price fluctuations continue. This reflects underlying volatility metrics remaining supportive despite surface-level movements. The strategy maintains exposure during favorable volatility conditions even when prices experience temporary weakness, and advocates caution during volatility deterioration even when prices appear stable. Success requires trust in the underlying signals and acceptance that price action and volatility conditions may temporarily diverge. Suitability and implementation requirements The index aligns with investors possessing specific characteristics. A medium to long term horizon proves essential as volatility regimes operate over weeks to months. A risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature during stress periods. Comfort with systematic decision making helps maintain discipline when signals conflict with market consensus. The indicator proves less suitable for day traders, investors requiring constant market exposure, and those unable to tolerate periods when the indicator conflicts with price trends. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates. For appropriate investors, the index offers a systematic framework for monitoring market conditions. By providing an objective assessment of volatility regime health, it helps recognize environment shifts and consider positioning adjustments. The strategy demands patience and discipline but rewards those characteristics with potential for improved risk-adjusted returns through drawdown reduction during stress periods. References Ang, A. and Chen, J. (2002) Asymmetric correlations of equity portfolios. Journal of Financial Economics, 63(3). Black, F. (1976) Studies of stock price volatility changes. Proceedings of the 1976 Meetings of the American Statistical Association, Business and Economics Statistics Section. Bollerslev, T., Tauchen, G. and Zhou, H. (2009) Expected stock returns and variance risk premia. The Review of Financial Studies, 22(11). Engle, R. (2004) Risk and volatility: Econometric models and financial practice. American Economic Review, 94(3). Whaley, R.E. (2000) The investor fear gauge. The Journal of Portfolio Management, 26(3).
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EdgeTools tarafından
2
Futures Sizing Calculator (Greg.Trading)📐 Futures Sizing Calculator by Greg.Trading 🔍 Overview The Futures Sizing Calculator is a visual risk-management tool built for futures traders who demand precision. It allows you to define your entry, stop-loss, and maximum dollar risk, then instantly calculates optimal contract sizing—directly on the chart. No spreadsheets. No mental math. Just clear, actionable risk data. 🎯 What This Indicator Does This indicator combines trade visualization with dynamic position sizing: ✔ Draws Entry and Stop-Loss levels on the chart ✔ Highlights the risk area between entry and stop ✔ Automatically detects LONG or SHORT direction ✔ Calculates stop distance in points ✔ Determines contract size for multiple futures ✔ Displays exact dollar risk per contract size ✔ Updates instantly as prices change 📊 Supported Contracts The calculator currently supports the most commonly traded CME micro futures: MNQ – Micro Nasdaq MES – Micro S&P 500 MGC – Micro Gold Each contract is calculated using its true point value for accurate risk sizing. 🧮 How the Calculations Work (Conceptually) The script uses a fixed-risk position sizing model, commonly used by professional traders: 1️⃣ You define a maximum dollar risk per trade 2️⃣ The script measures the distance between Entry and Stop 3️⃣ That distance is multiplied by each contract’s point value 4️⃣ Contract size is calculated to stay within your risk limit You are shown two sizing options: Conservative → rounded down (risk stays below limit) Aggressive → rounded up (risk slightly exceeds limit) This lets you choose the exposure that best fits your trading plan. 🧭 Visual Trade Mapping To improve clarity and execution speed, the indicator provides: 🟩 Green / Red dotted lines for Entry and Stop 📦 A transparent risk box between those levels 🔁 A centered LONG or SHORT label inside the risk area 📌 A floating panel displaying all sizing calculations Everything is placed where your eyes already are—on the chart. ⚙️ How to Use Add the indicator to any futures chart Set your Account Size and Risk Amount Enter your Entry price Enter your Stop-Loss price Review: Trade direction Risk box Contract sizing panel Adjust entry or stop at any time and the calculations update instantly. ⭐ Why This Indicator Is Different Unlike basic sizing calculators or static tools, this indicator: ✅ Is fully chart-based ✅ Shows real dollar risk, not estimates ✅ Supports multiple contracts at once ✅ Combines numbers with visual confirmation ✅ Is built for live execution and planning It’s designed to be used during real trades, not just before them. ⚠️ Important Notes • This is a risk-management tool, not a trading strategy • It does not generate buy or sell signals • Always confirm calculations align with your broker’s specifications
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NQGoat tarafından
Momentum Grid v2.1 + Top StocksThis script is a multi-confirmation momentum and trend assessment tool designed to evaluate market direction using a structured scoring approach rather than single-indicator signals. Instead of relying on one condition, the indicator combines trend, momentum, and oscillator inputs into a unified framework. Each component contributes one confirmation point, allowing users to assess bullish and bearish strength based on alignment rather than prediction. Core logic The script evaluates eight independent conditions: • Price position relative to multiple exponential moving averages • EMA trend structure and alignment • RSI directional bias • Stochastic momentum direction • MACD histogram polarity • Parabolic SAR trend confirmation • Squeeze momentum state • Linear regression–based momentum bias Bullish and bearish scores are calculated separately. Signals are triggered only when a configurable minimum number of confirmations is reached, helping reduce noise during weak or mixed conditions. CE / PE signal concept CE and PE labels are generated when bullish or bearish confirmation scores cross the selected threshold. These signals indicate momentum alignment, not guaranteed outcomes, and are evaluated on confirmed bar data only. Top stocks dashboard For index context, the script optionally analyzes a small group of heavily weighted stocks associated with the selected index. Each stock is evaluated using its own trend and momentum conditions, providing a quick overview of internal market alignment rather than individual stock recommendations. This section is intended for situational awareness and index behavior analysis, not for stock-specific trading decisions. Dashboards and scenario guide Visual dashboards summarize: • Trend state across indicators • Bullish and bearish confirmation scores • Momentum and volatility context The scenario guide provides reference levels derived from price and volatility calculations to assist with planning and risk awareness. These values are informational and not trade instructions. How to use This indicator is intended as a decision-support and context tool. It works best when combined with price structure, market conditions, and proper risk management. It does not function as a standalone trading system and does not forecast future price movement. Invite-only note This script is published as invite-only to maintain controlled access and consistent usage during ongoing refinement. No performance, accuracy, or profitability claims are made. Market behavior varies, and past observations do not guarantee future results.
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harshivsymposium tarafından
Pattern Pro [Josh]1. Overview Pattern Pro is a hybrid technical analysis suite designed to bridge the gap between Classic Chart Patterns and Smart Money Concepts (SMC). Reimagined with a high-contrast "Alien HUD" visual style, this script helps traders identify structural breaks, reversal patterns, and institutional zones with clarity. 2. How it Works (Methodology & Calculations) The core engine of this script relies on identifying significant market swings using ta.pivothigh and ta.pivotlow functions. These pivot points are stored in dynamic arrays to perform geometric calculations: Geometric Pattern Recognition: The script calculates the slope between historical pivots using linear regression logic. Double Tops/Bottoms: Detects equal highs/lows within a user-defined tolerance (default 0.25%) and validates them with RSI Divergence logic. Head & Shoulders: Validates the structural hierarchy (Left Shoulder < Head > Right Shoulder) relative to the neckline. Wedges & Flags: Analyzes trendlines connecting multiple pivots. Converging slopes indicate Wedges, while parallel slopes indicate Flags. Smart Money Concepts (SMC): BOS (Break of Structure): Automatically draws lines where price closes beyond a key pivot, signaling trend continuation. FVG (Fair Value Gaps): Scans for 3-candle price imbalances and projects the 50% equilibrium level. Supply & Demand Zones: Highlights order blocks derived from the specific candles that formed a confirmed pivot. Confidence Score: An internal algorithm assigns a percentage score based on pattern clarity and momentum divergence (RSI). 3. Visual Features (Alien HUD) Neon & Glow Effects: Lines are rendered with multi-layered transparency to create a "glowing" effect, ensuring visibility on dark themes. Fog/Smoke FX: Adds depth to critical levels without cluttering the chart. Customization: Users can toggle specific patterns, adjust pivot sensitivity (Lookback), and customize colors. Disclaimer: This indicator is developed strictly for educational purposes regarding chart behavior and algorithmic pattern recognition. The signals and patterns generated do not guarantee profitability or future accuracy. Past performance is not indicative of future results. Trading involves significant risk. Users should always practice proper risk management and use their own judgment.
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JOSHSniper4569 tarafından
ICT Liquidity Purge + SMTSimple indicator. Instructions Speed Improvements: Pivot Length: 5→3 - Detects liquidity levels faster (less bars needed to confirm a pivot) SMT Pivot Length: 5→3 - Faster SMT divergence detection Purge Buffer: 0.1%→0.05% - Triggers purges sooner when price touches the level Removed debug markers - No more blue triangular dots To make it even faster, you can: Set Pivot Length to 2 (very aggressive, more noise) Set Purge Buffer to 0.01% (triggers almost immediately) Adjust these in the settings based on your timeframe: Lower timeframes (1m, 3m): Use 2-3 pivot length Higher timeframes (15m, 1h): Use 4-5 pivot length.
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Marcust149 tarafından
4
MACD Oscillator PanelThis script is a MACD-based oscillator panel designed to help evaluate momentum quality and signal strength rather than producing raw crossover signals alone. The indicator builds on the classic MACD calculation but extends it through structured filtering and visual context. Instead of treating every MACD crossover equally, this panel categorizes momentum conditions using multiple confirmation layers. How it works The base logic uses the standard MACD line, signal line, and histogram derived from exponential moving averages. On top of this foundation, the script evaluates momentum and trend quality using: • Histogram direction and momentum change • Relative volume comparison against average volume • RSI positioning to avoid extreme conditions • ADX-based trend strength assessment • Higher timeframe MACD alignment for directional context Signals are internally classified as strong, medium, or weak based on how many of these conditions align at the time of a MACD crossover. Visual design The oscillator panel focuses on clarity and consistency: • Scaled MACD values maintain proportional visibility across symbols • Histogram colors reflect momentum direction and strength • Line fills and gradient zones provide immediate trend bias context • Optional information table summarizes current state and momentum No future projections are made. All values are derived from confirmed historical and real-time price data. How to use This panel is best used as a confirmation tool, not as a standalone trading system. Typical usage includes: • Validating MACD crossover signals from a price-chart indicator • Filtering low-quality signals during weak or ranging conditions • Aligning lower-timeframe entries with higher-timeframe momentum Trading decisions should always be made with proper risk management and broader market context. Invite-only note This script is published as invite-only to maintain controlled access and consistent usage during ongoing refinement. It is intended for users who already understand MACD behavior and momentum-based analysis. No performance, accuracy, or profitability claims are made. Market conditions vary, and past behavior does not guarantee future results.
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harshivsymposium tarafından
AlphaScalp SNIPER FREEAlphaScalp SNIPER FREE is a precision scalping indicator designed to deliver clear, fast, and reliable entry signals with minimal noise. This FREE version uses a core sniper logic to capture strong momentum moves, making it ideal for traders who want a simple, effective, and easy-to-use scalping tool. Perfect for testing performance before upgrading to the Premium version. ✅ Key Features (FREE) Clear BUY & SELL signals directly on the chart 1 Take Profit (TP1) and Stop Loss (SL) automatically plotted Trend filter to reduce false signals Non-repaint (based on candle close) Lightweight & fast on all pairs and timeframes ⚠️ FREE Version Limitations ❌ No TP2 & TP3 ❌ No advanced sniper filters ❌ Standard win rate (safe, but not aggressive) ❌ No professional trading modes ⭐ Best For Learning sniper-style scalping Manual scalping entries Backtesting & replay testing Trying before upgrading to Premium 🚀 Upgrade to SNIPER PREMIUM The SNIPER PREMIUM version unlocks: Higher win rate with advanced filtering TP1 / TP2 / TP3 for scaling profits Stronger sniper confirmation logic Designed for serious and consistent traders FREE to learn. PREMIUM to trade with confidence.
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kaffahstorage tarafından