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Indicatori e strategie

RoboCOT [by Oberlunar]RoboCOT by Oberlunar is a visual analytics indicator that compares two Commitment of Traders (COT) reports using TradingView’s official `TradingView/LibraryCOT` (dynamic requests enabled and thank you TV devs!) RoboCOT is designed to help you inspect relative positioning between Commercials ( C ) and Noncommercials ( NC ) across two futures symbols in a consistent, normalised space. The script does not provide trade signals, does not predict outcomes, and does not guarantee performance. COT data is typically updated weekly and can be revised; for that reason, it should be interpreted as a higher-timeframe positioning dataset and always cross-checked with price, volatility, and broader context. The RoboCOT Oscillators The upper lane shows four oscillators constrained to the range . Two lines belong to Asset A ( NC and C ) and are drawn with stronger colours, while the two lines of Asset B are drawn fainter to act as a reference. Each oscillator is derived from net positioning (Long minus Short) expressed relative to Open Interest , then normalised over a rolling lookback of weekly prints and smoothed with either HMA or EMA. This normalisation is meant to make different markets more comparable visually; it is not the raw net position itself. In addition, the oscillators are modulated by an internal confidence factor that incorporates Open Interest activity and distance from historical extremes , so the plotted curves remain continuous while still reflecting when the underlying positioning is “more informative” in relative terms. The RoboCOT Comparisons The shaded areas in the upper lane are pair fills that compare A versus B within the same participant class. The NC fill is drawn between the two NC lines, and the C fill is drawn between the two C lines. The sign of each fill is driven by the product A×B (after any optional bias inversion on B ). When the product is positive, both series share the same sign and the fill leans toward the “agreement” palette; when the product is negative, the series have opposite signs, and the fill leans toward the “conflict” palette. Opacity is driven by a weight that increases with higher confidence, larger separation between curves, and stronger agreement/conflict magnitude; when the weight is low, the fill remains intentionally subtle. The optional “ Invert B bias ” switch is provided because some pairings represent opposite sides of the same macro axis. A common example is comparing CME:6E1! EUR ( Euro FX futures ) against ICEUS:DX1! DXY ( US Dollar Index futures ). In that case, flipping the sign of B can make the comparison more intuitive by expressing both series in a consistent “bias space” for visual alignment checks. This is a visualisation convenience; it does not imply a causal relationship. The RoboCOT Fragility Score The lower lane displays a fragility comparison for the two assets. In this implementation, fragility is derived from the COT concentration metrics ( Top 4 and Top 8 net concentration, combined ), normalised into and then smoothed. The fill between the two fragility lines is OI-driven and uses a pressure proxy based on net-longness (a normalised long-share minus short-share) for each asset. The yellow line is Asset B ( ICEUS:DX1! , inverted in this setup) and the purple line is Asset A ( CME:6E1! ). In the lower lane, yellow is closer to the midline (≈ -2.0), while purple is further away (more negative). Since the engine applies the fragility penalty using abs(fragOsc), the line that is farther from the centre (higher |fragOsc|) is the one that is “more fragile” under this metric. So A (Euro FX) looks more fragile than B (Dollar Index) in this snapshot. But... fragility here is not a price-direction signal, and it’s not meant to track EURUSD one-to-one. It’s a positioning concentration diagnostic (Top4/Top8 concentration imbalance, normalised and smoothed). A higher fragility magnitude means positions are more crowded/concentrated, which can imply higher vulnerability to squeezes, regime shifts, or mean-reversion, but it doesn’t force EURUSD to go up or down on its own. An example of the RoboCOT Usage In this chart, Noncommercials on both legs (EURO and inverted DXY) are positive, which suggests that speculative positioning is aligned with EUR strength / USD weakness rather than fighting it. At the same time, Commercials are negative on both legs, a configuration that often appears when hedgers are positioned against the prevailing move, so I treat it as “trend still supported but monitored” rather than a reversal call. On the other side, the fragility lane shows the EURO side more stretched than the DXY side, meaning the EUR leg looks more concentration-sensitive, so a loss of NC alignment or a rise in fragility would be the first warning that the price move could become unstable. by Oberlunar 👁★
Indicatore Pine Script®
di oberlunar_tr
ColorFlow EMA📊 ColorFlow EMA — Trend Flow & Bias Indicator 🔹 What This Indicator Does ColorFlow EMA is a clean, visual trend-flow indicator designed to show directional bias and momentum state at a glance. It uses two exponential moving averages: Fast EMA (default: 10) Slow EMA (default: 20) The area between the EMAs is color-shaded to clearly display whether price is in a bullish or bearish flow. 🎨 Visual Logic 🔵 Blue shading → Bullish flow (Fast EMA above Slow EMA) 🔴 Red shading → Bearish flow (Fast EMA below Slow EMA) Optional crossover markers can be enabled for visual confirmation when EMA alignment changes. 🧠 How to Use ColorFlow EMA This indicator is not a standalone strategy and is not intended for signal-chasing. It is best used as a context and bias filter alongside: Price action Market structure (HH/HL, LH/LL) Support & resistance or supply & demand zones Pullbacks vs premium/discount Typical use cases: Favor longs when the flow is blue Favor shorts when the flow is red Avoid forcing trades when EMAs are tangled or flat Wait for pullbacks into structure instead of chasing price ⚠️ Important Notes EMA crossovers alone do not guarantee profitable trades Market conditions, structure, and location always matter Works best in trending or transitioning markets Not designed for ranging/choppy environments without context ⚙️ Customization EMA lengths can be adjusted Crossover markers can be toggled on/off Designed to stay visually clean and uncluttered 🎯 Who This Indicator Is For Traders who prioritize price action over indicators Intraday traders (forex, indices, ETFs, stocks) Traders who want clarity, not noise 📝 Final Thought ColorFlow EMA answers one simple question: “Should I be looking for longs or shorts here?” Use it for bias, not prediction.
Indicatore Pine Script®
di NaturalBelle
Quad Stoch v4 - George Lane Method# Quad Stoch v4 - User Guide ## Overview **Quad Stoch v4** uses the traditional **George Lane Stochastic** calculation method to track four different timeframe stochastics simultaneously, identifying asymmetric rotation patterns for long and short entries. ## Core Philosophy **Longs and shorts are NOT symmetrical:** - **Longs**: V-bottom pattern, sharp rotation up from oversold (fast stochs lead) - **Shorts**: Either bleed down then dump OR synchronized flush (different patterns) ## George Lane Method v4 uses the pure George Lane calculation: 1. **%K** = Raw stochastic: `100 × (Close - LL) / (HH - LL)` 2. **%K Smoothing** = SMA of raw %K (default: 1 = no smoothing) 3. **%D** = SMA of smoothed %K (classic: 3-period) **Default Display**: %D lines only (traditional slow stochastic) ## Default Stochastic Settings | Stoch | %K Length | %K Smooth | %D Smooth | Color | Description | |-------|-----------|-----------|-----------|-------|-------------| | **1** | 9 | 1 | 3 | **RED** | Fastest - leads rotations | | **2** | 14 | 1 | 3 | **GREEN** | Fast | | **3** | 40 | 1 | 4 | **CYAN** | Slow | | **4** | 60 | 1 | 10 | **WHITE** | Slowest - confirms trend | *Colors match DTR Dashboard for easy reference* ## Rotation Signals ### 🟢 Bullish Rotation (Long Entry) **Pattern**: V-bottom rotation **Conditions**: - Fast avg (D9 + D14) / 2 is **oversold** (< 25) - Fast avg **turning up sharply** (slope > 3.0) - Slow avg (D40 + D60) / 2 still **low** (< 50) - Slow avg **flat or not turning** (slope < 1.0) **What to look for**: Fast stochs bottoming and rocketing up while slow stochs haven't turned yet --- ### 🔴 Bearish Rotation (Short Entry) **Two asymmetric patterns**: #### **Pattern A: "Bleed Then Dump"** - D60 was recently **overbought** (> 80 in last 10 bars) - D60 just **broke below 75** - Fast avg already **falling** (slope < -1.0) - Not too oversold (fast avg > 40) **What to look for**: Slow stoch rolling over from overbought while fast already bleeding #### **Pattern B: "Synchronized Flush"** - All 4 stochs **below 75** - Both fast AND slow **dropping sharply** (< -2.5) - Not too oversold (fast avg > 40) **What to look for**: All stochs dumping together in coordinated fashion --- ## Key Settings ### Display Options - **Show %K Lines**: Off by default (turn on to see raw fast stochastic) - **Show %D Lines**: On by default (smoothed values) - **Show Fast Avg**: Lime line = average of D9 and D14 - **Show Slow Avg**: Yellow line = average of D40 and D60 ### Signal Filters - **RTH Only Signals**: Arrows only during 9:30-16:00 ET (default: ON) - **Spread Filter**: Optional - requires minimum spread between stochs - **Min Spread**: Default 15 (ignored unless spread filter enabled) ### Slope Calculation - **Slope Bars**: Number of bars to calculate slope (default: 2) - Higher = smoother slope detection, slower reaction ## Visual Indicators | Indicator | Meaning | |-----------|---------| | 🟢 **Green Triangle** ↑ | New bullish rotation signal | | 🔴 **Red Triangle** ↓ | New bearish rotation signal | | **Green Background** | Bullish rotation active | | **Red Background** | Bearish rotation active | | **Lime Line** | Fast average (D9+D14)/2 | | **Yellow Line** | Slow average (D40+D60)/2 | ## Info Label Shows current state (top right): - Fast avg value and state (oversold/neutral/overbought) - Slow avg value and state - Fast slope (direction and magnitude) - Slow slope - D60 value - Active pattern (if any) ## Alerts Available 1. **Bullish Rotation** - New bullish signal fired 2. **Bearish Rotation** - New bearish signal fired 3. **Bearish Pattern A** - Bleed then dump detected 4. **Bearish Pattern B** - Synchronized flush detected 5. **Bullish Rotation Active** - In bullish state (continuous) 6. **Bearish Rotation Active** - In bearish state (continuous) ## Usage Tips ### For Longs 1. Wait for fast avg to drop below 25 2. Watch for **sharp upward** slope (>3.0) 3. Confirm slow avg still lagging below 50 4. Enter on green triangle 5. Fastest stochs (red/green) should be leading ### For Shorts 1. **Pattern A**: Watch D60 (white line) roll over from 80+ 2. **Pattern B**: All stochs failing together from highs 3. Confirm fast avg not already oversold (<40) 4. Enter on red triangle 5. Look for follow-through on next bar ### Risk Management - Signals are **entry timing tools**, not standalone systems - Use with price action, support/resistance, and market context - Fast rotation up = higher probability longs - Shorts need more confirmation (Pattern A or B) - Avoid shorting when already deeply oversold ## Customization All thresholds are adjustable: - **Bullish Rotation** group: Oversold levels and slope requirements - **Bearish Rotation** group: Pattern A/B parameters - **Colors** group: Customize all line colors --- **Version**: v4 (George Lane Method) **License**: Mozilla Public License 2.0
Indicatore Pine Script®
di kb1ath
Credit Cycle IndexThe Credit Cycle Index represents a systematic approach to measuring financial market conditions through the aggregation of multiple credit and risk metrics. This indicator draws conceptual inspiration from academic research on credit cycles and their relationship to asset returns, building on the work of Gilchrist and Zakrajsek (2012) who demonstrated that credit spreads contain significant predictive information about economic activity and equity market performance. The indicator synthesizes publicly available market data into a unified framework that captures shifts in financial conditions before they become apparent in price action. The theoretical foundation of credit cycle analysis rests on decades of research documenting the relationship between credit market conditions and asset returns. Bernanke and Gertler (1995) established the credit channel of monetary policy transmission, demonstrating how financial conditions amplify and propagate economic shocks through the broader economy. Schularick and Taylor (2012) documented how credit growth and credit conditions historically preceded major market dislocations, while Krishnamurthy and Muir (2017) showed that credit market variables exhibit predictable cyclical patterns that correlate with subsequent equity returns. These empirical findings suggest that monitoring credit conditions provides valuable information about the risk environment facing investors. Unlike sentiment indicators that employ contrarian logic based on the assumption that crowd psychology overshoots at extremes, the Credit Cycle Index operates on regime-based principles. Credit market conditions tend to persist rather than mean-revert quickly. Favorable credit conditions typically support continued risk asset performance, while deteriorating conditions often precede extended periods of weakness. This approach recognizes that credit cycles operate on different timescales than sentiment cycles and require different strategic responses. Methodology and calculation framework The methodology underlying the Credit Cycle Index incorporates statistical normalization techniques that transform raw market data into comparable standardized scores. Each component factor undergoes robust 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 that adjusts dynamically based on prevailing market conditions, with stress-sensitive components receiving increased weight during periods of elevated market vulnerability. The model produces values on a scale from zero to one hundred, where higher readings indicate favorable financial conditions and lower readings signal deteriorating conditions. Readings above seventy suggest healthy credit environments where risk assets typically perform well. The zone between forty and seventy represents normal conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions across multiple components. The model incorporates quality filters designed to enhance signal reliability. 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. A momentum filter requires positive index momentum to persist for a minimum duration before confirming entry signals, preventing premature positioning during temporary rebounds within deteriorating environments. These refinements reduce the probability of acting on spurious readings. Professional application and portfolio integration Professional portfolio managers recognize the value of credit condition indicators as tools for risk management and tactical allocation. The fundamental insight underlying credit-based strategies is empirically robust: favorable credit conditions create supportive environments for risk assets, while deteriorating conditions warrant defensive positioning. Lopez-Salido, Stein and Zakrajsek (2017) found that credit market sentiment significantly predicts economic activity and asset returns, with their research suggesting that credit conditions lead equity market performance by several months. For institutional investors operating with fiduciary responsibilities, the Credit Cycle Index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or adjustments to tactical allocation overlays. The indicator proves valuable when it diverges from prevailing market narratives, as such divergences often precede meaningful market inflections. Systematic investors can incorporate the index as a conditioning variable that adjusts position sizing based on the prevailing credit environment. The integration of credit analysis into investment practice finds support in the concept that credit markets often lead equity markets in recognizing fundamental shifts. Credit market participants including bond investors and lenders frequently possess informational advantages regarding corporate financial health and economic conditions. When credit conditions deteriorate, this often reflects information that has not yet fully incorporated into equity prices, creating opportunities for investors who monitor these signals systematically. Practical implementation for individual investors The practical implementation of the indicator follows straightforward principles. When the index rises into the favorable zone above seventy with quality filter confirmation, this suggests credit conditions support risk asset exposure. When the index falls below the caution threshold of forty, defensive positioning becomes appropriate. This could manifest as reducing equity allocations, increasing cash reserves, or implementing protective strategies. The zone between these thresholds suggests balanced conditions where other analytical frameworks should take precedence. Individual investors can derive benefit from the indicator by treating readings as alerts warranting examination of portfolio positioning. A reading in the favorable zone might prompt consideration of whether current equity exposure aligns with target allocations. A reading in the stress zone could trigger review of whether risk reduction measures merit consideration. The indicator should inform rather than dictate investment decisions, serving as one perspective within a broader analytical framework. The decision to implement a credit condition indicator within an investment process requires consideration of how it complements existing approaches. Fundamental investors can use credit readings to assess whether the risk environment supports their positioning. Technical analysts may find that credit conditions help contextualize price patterns, with favorable conditions adding conviction to bullish setups and deteriorating conditions warranting caution. Quantitative investors might incorporate credit factors into multi-factor models or use them to adjust position sizing. Trading behavior and strategy characteristics The Credit Cycle Index employs a regime-following methodology that differs from both trend following and contrarian approaches. The trading logic accumulates positions when credit conditions indicate favorable environments and reduces exposure when conditions deteriorate. This approach positions with prevailing credit market signals rather than against them, recognizing that credit conditions exhibit persistence. The observation that the indicator may signal favorable conditions while price volatility continues represents an inherent characteristic of regime-based strategies. When the indicator signals favorable conditions, this indicates that underlying credit metrics remain supportive despite surface-level price fluctuations. The indicator identifies phases where credit fundamentals support risk positioning, though short-term price movements may deviate from this underlying support. Potential users should understand this behavioral characteristic before implementation. The strategy will maintain risk exposure during favorable credit conditions even when equity prices experience temporary weakness. It will advocate defensive positioning during credit deterioration even when equity prices appear stable. Success requires trust in the underlying credit signals and willingness to accept that price action and credit conditions may temporarily diverge. Suitability and implementation requirements The Credit Cycle Index aligns appropriately with investors possessing specific characteristics. First, a medium to long term investment horizon proves essential. Credit cycles operate over weeks to months rather than days, and the strategy requires patience to capture regime shifts. Second, a risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature of the indicator during stress periods. Third, comfort with systematic decision making helps maintain discipline when credit signals conflict with prevailing market narratives. The indicator proves less suitable for day traders seeking intraday signals, investors who prefer purely contrarian approaches, those requiring constant market exposure regardless of conditions, and individuals unable to tolerate periods when the indicator conflicts with price momentum. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates despite its risk management merits. For appropriate investors, the Credit Cycle Index offers a systematic framework for monitoring financial conditions and adjusting risk exposure accordingly. By providing an objective assessment of credit market health, the indicator helps investors recognize environment shifts and consider positioning adjustments when conditions warrant. The strategy demands patience and discipline but rewards those characteristics with the potential for improved risk-adjusted returns through drawdown reduction during stress periods. References Ang, A. and Timmermann, A. (2012) Regime changes and financial markets. Annual Review of Financial Economics, 4, pp. 313 to 337. Bernanke, B.S. and Gertler, M. (1995) Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9(4), pp. 27 to 48. Campbell, J.Y. and Thompson, S.B. (2008) Predicting excess stock returns out of sample: Can anything beat the historical average? The Review of Financial Studies, 21(4), pp. 1509 to 1531. Collin-Dufresne, P., Goldstein, R.S. and Martin, J.S. (2001) The determinants of credit spread changes. The Journal of Finance, 56(6), pp. 2177 to 2207. Gilchrist, S. and Zakrajsek, E. (2012) Credit spreads and business cycle fluctuations. American Economic Review, 102(4), pp. 1692 to 1720. Hamilton, J.D. (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), pp. 357 to 384. Krishnamurthy, A. and Muir, T. (2017) How credit cycles across a financial crisis. NBER Working Paper No. 23850. Lopez-Salido, D., Stein, J.C. and Zakrajsek, E. (2017) Credit-market sentiment and the business cycle. The Quarterly Journal of Economics, 132(3), pp. 1373 to 1426. Merton, R.C. (1974) On the pricing of corporate debt: The risk structure of interest rates. The Journal of Finance, 29(2), pp. 449 to 470. Schularick, M. and Taylor, A.M. (2012) Credit booms gone bust: Monetary policy, leverage cycles, and financial crises, 1870 to 2008. American Economic Review, 102(2), pp. 1029 to 1061.
Indicatore Pine Script®
di EdgeTools
SHDW Breaker Blocks & Mitigation|ProWhat this indicator does This script detects Order Blocks (OB) from confirmed swing pivots, scores their quality (0–100), and manages their lifecycle through mitigation and optional breaker behavior. It is designed to be “desk-safe”: drawing objects are rebuilt on the last bar for stability and performance. Non-repainting note (important) OBs are created only from confirmed pivots . A pivot confirms after `Pivot length` bars, so zones appear with a delay. Once created, zones do not “move” retroactively; they update only via mitigation/breaker rules. --- How to read the chart (using your LTC example) On the LTC chart you shared, you can see: * Red zones = SELL OB (supply) above price. These are prior sell-side institutional footprints. Price revisiting these zones can behave as resistance until mitigated/invalidated. * Green zones = BUY OB (demand) below price. These are buy-side footprints. Price revisiting these zones can behave as support until mitigated/invalidated. * Each label shows: * Tier : `BALANCED / HIGH / STRONG` (based on the 0–100 score). * Volume share (%) : relative volume contribution versus the other currently displayed zones (helps rank “importance” visually). * Dashed midline (if enabled) is the zone midpoint, useful when mitigation trigger uses midpoint logic. What “Show breakers” means in practice When Mitigation mode = Soft and S how breakers = ON : * A zone that gets mitigated is not removed ; it becomes a Breaker (a “role-flip candidate”). * Breakers remain on chart until a dead-hit / invalidation event removes them (price cleanly crosses the opposite boundary per your trigger/penetration rules). --- Inputs reference (what each group does) 01 | Performance (Drawing Window) * Enable window / Bars : limits calculations and drawings to the most recent *N* bars to keep the chart responsive on lower devices. 2 | Order Blocks (Engine) * Enable OB: master switch for OB detection + updates + drawing. * Show last: number of most recent OB zones to draw (per side). Set `0` to draw none. * Pivot length: swing confirmation strength (higher = fewer OBs, later confirmation). * Scan depth (bars): inside the pivot swing segment, the script searches for the highest-volume opposite candle to define the OB origin. * Construction * Full: OB uses full origin candle high/low. * Length: caps OB thickness using `ATR(200) * Length(ATR)` (cleaner on noisy assets). * Mitigation mode * Off: zones remain until overlap pruning/capping. * Hard: remove the OB on first mitigation touch (virgin-only behavior). * Soft: on mitigation, convert to breaker; optionally keep it visible. * Mitigation trigger * Close: uses candle body edge. * Wick: uses wick extreme. * Avg: uses midpoint. * Show breakers: only relevant in Soft mitigation; keeps mitigated zones plotted as breakers. 02.1 | Order Blocks (Tier Model) * HIGH threshold / STRONG threshold : score cutoffs for tier labels. 02.2 | Institutional Quality * Require displacement: filters OBs without meaningful follow-through (MFE). * Follow-through bars: window used to compute MFE from the origin candle. * Min displacement (ATR): MFE threshold in ATR units. * Context lookback: high/low range used for premium/discount “location” scoring. * Weights (Creation / Follow-through / Location): normalizes and combines sub-scores into the final 0–100 score. 02.3 | Mitigation Filter (Penetration) Reduces micro-taps: * Min penetration (%): requires penetration beyond boundary as % of OB height. * Min penetration (ATR) requires penetration beyond boundary in ATR. Final requirement = `max(percent-based, ATR-based)`. 02.4 | Quality Gates (Vol/Body) Hard reject weak origins: * Enable gates: turns the filters on/off. * Gate mode * Chop only: gates apply only when chop regime is detected. * Always: gates apply in all regimes. * Min volume ratio: origin candle must have `Volume >= SMA(20)*ratio`. * Min body ratio: origin candle must have `Body/Range >= ratio`. ### 02.5 | Regime Filter (Chop) Detects lateral conditions using: * ATR compression: `ATR(fast)/ATR(slow) < threshold` * ADX ceiling: `ADX < max` This is used to tighten gates only during chop (if configured). 03 | Order Blocks (Style) Controls visuals: * Mid-line on/off, label content mode, label anchor, CONF tag, transparencies, colors. 03.1 | Trend Regime Relax (Display) Optional declutter in strong trends: * Uses ADX floor + ATR ratio floor . * Modes: fade lower tiers / hide balanced / only strong. 04 | Fair Value Gap (Optional) Optional FVG detection with mitigation/breaker behavior and overlap pruning. --- Operational logic (high level) 1. Detect confirmed pivots (swing highs/lows). 2. For each pivot, select the highest-volume opposite candle within `Scan depth` as the OB origin. 3. Build OB zone (Full or ATR-capped Length). 4. Score the OB: * Creation quality (volume, body, range/ATR with wick penalty) * Follow-through (MFE saturation within `Follow-through bars`) * Location ** (premium/discount alignment inside `Context lookback`) 5. Manage lifecycle: * Mitigation → remove (Hard) or convert to breaker (Soft) * Dead-hit invalidation removes breakers * Overlap pruning and caps keep the book clean 6. Draw zones only on last bar for performance. --- Isenção de responsabilidade Este roteiro é fornecido apenas para fins educacionais e informativos e não constitui aconselhamento financeiro.
Indicatore Pine Script®
di shdwxbt
THE TRADE MEISTER PROTOCOL - VOLUME PROFILE EDITIONTHE TRADE MEISTER PROTOCOL - VOLUME PROFILE EDITION The ATM Protocol is a regime-filtered trading framework that solves the fundamental problem causing retail trader losses: taking counter-trend signals during unfavorable market conditions. It's a unified decision-making system where trade signals must pass through multiple layers of confirmation before execution. The core innovation is the Regime Filter - a proprietary logic system that gates all trade signals through RSI momentum states AND VWAP swing structure confirmation. Signals that fire during opposing regimes are blocked and marked with an X on your chart. 1. Regime Filter System - Multi-layered confirmation logic requiring RSI momentum (threshold-optimized at 65/32) AND VWAP swing alignment before allowing UT Bot signals to execute. When conditions don't align, signals are rejected in real-time. 2. Automated Trade Setup Calculator - Proprietary algorithm that scans support/resistance structure (100/500/1000-bar lookbacks), identifies nearest structural levels for stop placement, calculates two profit targets, and displays live Risk:Reward ratios. Falls back to ATR-based calculations when structure is absent. 3. Adaptive VWAP with Volatility Adjustment - Custom implementation using alpha decay functions and ATR-based volatility ratios to adjust tracking periods dynamically. Resets on swing highs/lows rather than session anchors, rendered as polylines for clarity. Volume Profile Integration adds institutional context: Session-based profiling (Tokyo/London/NY/Daily/Weekly/Monthly/Quarterly/Yearly) with POC/VAH/VAL identification shows where institutions actually traded, not just where price went. Supports both Volume and Open Interest data types for futures traders. Longevity Zone Tracking displays support/resistance age in Days/Months/Years with automatic violation removal, helping identify which levels have institutional significance based on duration. The Problem This Solves Most traders struggle with conflicting signals. RSI says oversold, MACD shows bearish, volume is declining, VWAP is below price - which do you trust? The result: analysis paralysis or worse, taking every signal and getting chopped to pieces. The ATM Protocol's solution: Create a hierarchy where signals must satisfy multiple conditions simultaneously. The regime filter acts as the gatekeeper - no signal executes unless the market regime confirms the direction. How the Regime Filter Works The regime filter operates in three stages: Stage 1 - RSI Momentum Assessment: - RSI crossing above 65 while price shows upward EMA momentum = Bullish Regime - RSI dropping below 32 with downward price momentum = Bearish Regime - Neither condition = Neutral (no directional bias) Stage 2 - VWAP Swing Structure: - Most recent swing high > most recent swing low = VWAP Bullish - Most recent swing low > most recent swing high = VWAP Bearish - Uses 50-period swing detection (configurable) Stage 3 - Signal Filtration: - UT Bot buy signals only execute when: Bullish Regime + VWAP Bullish - UT Bot sell signals only execute when: Bearish Regime + VWAP Bearish - All other signals are rejected and marked You can disable the filter or remove VWAP requirement in settings for more aggressive trading, but the default configuration prioritizes quality over quantity. Volume Profile: Institutional Context Standard indicators show where price moved. Volume Profile shows where volume accumulated - revealing where institutions made decisions. Key Levels Explained: Point of Control (POC): The price level with the most volume during the session. Institutions traded most heavily here. Acts as magnetic support/resistance. Value Area High (VAH) / Value Area Low (VAL): The price range containing 70% of the session's volume (configurable). This is the "fair value" zone where institutions accepted prices. Trading Above VAH: Bullish - price accepted above value, new buyers stepping in Trading Below VAL: Bearish - price rejected, sellers in control Inside Value Area: Choppy - expect range-bound behavior until breakout Session Types: - Intraday (Tokyo/London/NY): See where each major forex session traded - Daily: Traditional market profile view - Weekly/Monthly: Swing traders, identify major accumulation zones - Quarterly/Yearly: Position traders, institutional long-term levels The Volume Profile uses intra-bar data for precision and supports Open Interest for futures markets, showing delta OI changes that reveal institutional positioning in derivatives. Automated Trade Setup Calculator This is where theory becomes execution. When the regime filter confirms a setup, the calculator automatically: For Long Setups: 1. Scans support levels (100, 500, 1000-bar lows) 2. Places stop at nearest support below current price 3. Identifies next two resistance levels above for targets 4. Calculates R:R ratio (Target 1 distance / Stop distance) 5. Displays all values in the dashboard in real-time For Short Setups: 1. Scans resistance levels (100, 500, 1000-bar highs) 2. Places stop at nearest resistance above current price 3. Identifies next two support levels below for targets 4. Calculates R:R ratio 5. Updates live as price moves Fallback Logic: If no structural levels exist nearby (new market, post-gap), the calculator uses ATR-based placement: - Stop: 1.5 x ATR from entry - Target 1: 2.0 x ATR from entry - Target 2: 4.0 x ATR from entry This removes the 15-20 minutes traders typically spend manually measuring setups. The math happens instantly. Dashboard Intelligence The dashboard provides command-center visibility: Position State: Long/Short/Flat with UT Bot status Regime Status: Locked (filter active) or Unlocked, showing current bias VWAP Swing: Current swing structure (Bullish/Bearish) Multi-Timeframe Matrix: 9 timeframes showing EMA trend alignment (1M to 1Month) Market Data: Volume analysis, MACD, Stochastic, ATR state AI Predictive: Synthesized trend bias using smoothed RSI + momentum Trade Setup: Live entry, two targets, stop loss, R:R ratio All information updates tick-by-tick. One glance tells you: Is there a setup? What's the regime? Where are my levels? How to Use This Protocol Philosophy: You Are the Sniper, This Is Your Scope The ATM Protocol doesn't predict the future. It analyzes current structure and tells you when conditions favor high-probability setups. You decide when to pull the trigger. Step-by-Step Workflow: 1. Check Regime (Dashboard Top Section) Look for: - 🔒LONG = Bullish regime confirmed, look for longs only - 🔒SHORT = Bearish regime confirmed, look for shorts only - ⚪NEUTRAL = No regime, stay flat or reduce size 2. Wait for UT Signal - Green "Buy" label = Long signal (only appears during bullish regime) - Red "Sell" label = Short signal (only appears during bearish regime) - Gray X = Rejected signal (counter-trend attempt blocked by filter) 3. Confirm with Volume Profile Ideal long setup: - Price at or near VAL (value area low) - Buy signal fires - Regime is bullish - POC is above current price (room to move) Ideal short setup: - Price at or near VAH (value area high) - Sell signal fires - Regime is bearish - POC is below current price (room to fall) 4. Review Trade Setup (Dashboard AI Section) Check: - Entry: Current price - Target 1: First profit objective - Target 2: Full profit objective - Stop Loss: Invalidation level - R:R: Aim for minimum 1.5:1, preferably 2:1+ 5. Execute and Manage - Enter at current price when all conditions align - Set stop at displayed level - Take partial profits at Target 1 (50% position) - Hold remaining for Target 2 or trail with LinReg candles - Exit immediately if regime flips (dashboard shows change) Position Management with LinReg: The script plots linear regression candles colored by position state: - Green candles = In long position - Red candles = In short position - Blue signal line = Dynamic trend Use these to trail stops or add to winners during strong trends. Longevity Zones: Time-Tested Levels Support and resistance zones that have held for extended periods carry more weight. The longevity tracker shows: - Zone age: Days, Months, or Years - Bar count: Total bars since zone formation - Auto-deletion: Zones disappear when price violates them Why This Matters: A resistance zone that has held for 6 months indicates institutional interest. A support zone that formed yesterday is untested. Longevity helps you prioritize which levels matter most. Zones display as semi-transparent rectangles (red for resistance, green for support) with labels showing duration. Place stops beyond these zones for optimal invalidation points. What This Tool Does NOT Do Brutal Honesty Section: ❌ Does NOT predict the future - Past results never guarantee future performance. Markets change. Regimes shift. Volatility spikes. Nothing is certain. ❌ Does NOT work in all conditions - Ranging, low-volatility, or news-driven markets produce fewer quality setups. You'll have periods with no signals. This is intentional - we're filtering for quality. ❌ Does NOT eliminate losses - Even 3:1 R:R setups fail. Stops get hit. The goal is positive expectancy over 50+ trades, not winning every single one. ❌ Does NOT replace risk management - If you risk 10% per trade, you'll blow your account regardless of how good the tool is. Proper position sizing is YOUR responsibility. ❌ Does NOT guarantee profits - Anyone claiming otherwise is lying. Trading is probabilistic. This tool identifies favorable probabilities. Execution and discipline are on you. What It Requires From You: ✅ Learning curve - 2-4 weeks to understand regime changes, volume profile context, and setup identification. This isn't "add indicator, print money." ✅ Discipline - Following regime filter means accepting fewer trades. If you force trades during neutral regimes, the tool can't help you. ✅ Risk management - Position sizing, stop losses, profit taking - these are ALWAYS your decisions. The calculator suggests levels. You execute. ✅ Psychological control - Rejected signals (gray X) protect you. Don't override them emotionally. Trust the process over dozens of trades, not individual setups. Technical Specifications Components: - UT Bot (ATR-based trailing stop signals) - Public domain base, regime-filtered - RSI (14-period default) - Momentum regime definition with optimized thresholds - Adaptive VWAP - Custom volatility-adjusted implementation with swing resets - Volume Profile - Session-based institutional level detection (8 session types) - Linear Regression - Position state visualization with smoothing - Fibonacci Bands - ATR or StdDev based volatility bands - Support/Resistance - Multi-timeframe structural levels (100/500/1000 bars) - Longevity Zones - Duration-tracked pivot-based S/R Regime Filter Logic: - Bullish = RSI > 65 AND VWAP Swing Bullish (optional) - Bearish = RSI < 32 AND VWAP Swing Bearish (optional) - Neutral = Neither condition met - Configurable: Disable filter or remove VWAP requirement Volume Profile Settings: - Session Types: Tokyo/London/NY/Daily/Weekly/Monthly/Quarterly/Yearly - Resolution: 5-100 rows (higher = more detail) - Value Area: 60-80% configurable (default 70%) - Data Types: Volume or Open Interest (futures) - Display Modes: 3 visual styles The ATM Protocol is a scope, not autopilot. It identifies high-probability setups when conditions align. The discipline to wait for confirmation, the courage to execute when signals fire, and the wisdom to honor stops - these come from you. **Trading is hard.** Most retail traders lose because they take every signal, fight trends, or revenge trade after losses. This tool can't fix those problems. What it CAN do is show you when the market structure favors your direction and automatically calculate logical trade parameters. **Use it as designed:** - Trust the regime filter (let it block counter-trend trades) - Respect the setup calculator (stops exist for a reason) - Understand Volume Profile context (trade with institutions, not against them) - Give it time (evaluate over 50+ trades minimum) The goal isn't to win every trade. It's to create positive expectancy through better trade selection and execution. The regime filter handles selection. You handle execution. Good hunting. 🎯 --- **Disclaimer:** This indicator is a tool for technical analysis and does not constitute financial advice. Trading carries significant risk of capital loss. Past performance of any trading methodology does not guarantee future results. The creator assumes no responsibility for trading outcomes. Users must develop their own trading plan, risk management system, and execution discipline. Never risk more than you can afford to lose.
Indicatore Pine Script®
di absolutedollar
BTC DenominatorBTC Denominator Indicator - Comprehensive Guide Overview The BTC Denominator is an advanced adaptive indicator that combines multiple sophisticated technical analysis concepts to provide dynamic, market-responsive signals. It uses Renko-based price filtering with adaptive RSI to compare two assets simultaneously. Core Components 1. Market Rhythm Detector What it does: Identifies the current market cycle length (8-50 periods) Why it matters: Markets don't move in fixed patterns. This algorithm detects whether the market is in fast cycles (trending) or slow cycles (ranging) Adaptive advantage: All other calculations adjust based on the current market rhythm 2. Adaptive ATR (Average True Range) Uses the market rhythm to calculate volatility Dynamically adjusts the Renko brick size More responsive than fixed-period ATR 3. Renko Bricks Purpose: Filters out time and small price noise How it works: Only creates a new "brick" when price moves by the ATR amount Benefit: Reduces false signals and focuses on significant price movements 4. Adaptive RSI Traditional RSI uses a fixed period (usually 14) This RSI adapts its period based on the market rhythm More responsive in fast markets, smoother in slow markets The Comparison Asset - Why It's Significant Default: BTCDOMUSDT.P (Bitcoin Dominance) The comparison asset is the secret sauce of this indicator. Here's why: For Altcoin Trading: Bitcoin Dominance (BTC.D) shows when money flows between Bitcoin and altcoins High BTC.D RSI: Money flowing to Bitcoin → Altcoins may weaken Low BTC.D RSI: Money flowing from Bitcoin → Altcoins may strengthen RSI Spread: Shows relative strength between your asset and BTC dominance Trading Logic: PRIMARY (Altcoin) RSI = 70 (overbought) COMPARISON (BTC.D) RSI = 30 (oversold) RSI Spread = +40 (bullish for altcoin) This suggests the altcoin is strong while Bitcoin dominance is weak - a powerful confirmation for altcoin longs. How to Trade with This Indicator Setup 1: Trend Confirmation Entry Signals: Bullish Entry (Long) Primary RSI crosses above 50 (momentum shift) Comparison RSI below 50 or declining RSI Spread is positive and widening Renko brick color turns green Bearish Entry (Short) Primary RSI crosses below 50 Comparison RSI above 50 or rising RSI Spread is negative and widening Renko brick color turns red Setup 2: Divergence Trading Bullish Divergence: Price makes lower lows Primary RSI makes higher lows Comparison RSI in overbought zone (showing weakness in competing narrative) Action: Look for long entry on RSI cross above 30-35 Bearish Divergence: Price makes higher highs Primary RSI makes lower highs Comparison RSI in oversold zone Action: Look for short entry on RSI cross below 65-70 Setup 3: RSI Spread Strategy The spread (Primary RSI - Comparison RSI) reveals relative strength: Spread > +30: Strong bullish divergence - primary asset outperforming Spread > +50: Extreme strength - consider taking profits or tight stops Spread < -30: Strong bearish divergence - primary asset underperforming Spread < -50: Extreme weakness - strong short signal or avoid longs Setup 4: Overbought/Oversold with Context Traditional approach (less effective): RSI > 70 = Sell RSI < 30 = Buy BTC Denominator approach (more effective): Long Setup: Primary RSI: 25-35 (oversold) Comparison RSI: 65-75 (overbought) Interpretation: Your asset is oversold while Bitcoin dominance is overbought Action: Strong buy signal - money likely to flow from BTC to your asset Short Setup: Primary RSI: 65-75 (overbought) Comparison RSI: 25-35 (oversold) Interpretation: Your asset is overbought while BTC dominance is oversold Action: Strong sell signal - money likely to flow back to Bitcoin Key Metrics in the Info Table What to watch: RSI Values (color-coded) Red: Overbought (>70) Green: Oversold (<30) White: Neutral RSI Length (yellow when adaptive) Shorter lengths (8-15): Fast market cycles Longer lengths (30-50): Slow market cycles Cycle Period (Market Rhythm reading) Low values (8-15): Trending market, more aggressive signals High values (35-50): Ranging market, slower signals RSI Spread Positive (green): Primary asset has relative strength Negative (red): Primary asset has relative weakness Practical Trading Rules Rule 1: Don't Trade Against the Spread If spread is strongly negative (-30 or less), avoid long positions If spread is strongly positive (+30 or more), avoid short positions Rule 2: Use Multiple Timeframes Check daily for trend direction Use 4H for entries Use 1H for precise timing Rule 3: Combine with Price Action RSI signals + support/resistance = higher probability Wait for confirmation candles after RSI crosses Rule 4: Adaptive Periods Tell Market State Cycle Period < 15: Trending - follow breakouts Cycle Period > 35: Ranging - fade extremes Risk Management Position Sizing: Use smaller positions when RSI spread is neutral (-10 to +10) Stop Loss: Place below recent Renko brick low for longs, above for shorts Take Profit: Consider partial profits when RSI reaches opposite extreme False Signals: Avoid trading when both RSIs are near 50 (indecision) Example Trade Scenario Asset: ETHUSDT Comparison: BTCDOMUSDT.P Observation: ETH RSI: 32 (oversold, turning green) BTC.D RSI: 68 (overbought) RSI Spread: -36 (but improving from -42) Cycle Period: 12 (fast trending market) Renko just turned green Analysis: Ethereum is oversold while Bitcoin dominance is overbought Negative spread suggests BTC has been outperforming, but tide may turn Fast cycle period suggests momentum can shift quickly Green Renko brick confirms buying pressure starting Trade: Entry: Current price Stop: Below recent Renko brick low Target 1: RSI 50 (momentum shift complete) Target 2: RSI 65-70 (overbought, take profits) Monitor: If BTC.D RSI stays above 60, manage position tightly Best Practices Do: Use RSI spread as primary confirmation Trust adaptive signals more in clean trends Wait for Renko color confirmation Watch for RSI divergences between primary and comparison ❌ Don't: Ignore the comparison asset - it's crucial context Trade blindly on oversold/overbought levels alone Fight extreme RSI spreads (>±40) Overtrade when cycle periods are high (>40) This indicator excels at identifying relative strength and momentum shifts in the context of broader market dynamics. The comparison to Bitcoin Dominance makes it particularly powerful for cryptocurrency trading.
Indicatore Pine Script®
di akhlaque16g55
RSI Divergence: Regular & Hidden [No Repaint] (Beta)I designed this script to have an RSI oscillator that doesn't miss any single divergence (Regular & Hidden). And is without the usual repainting or heavy lag issues found in standard indicators. This is an Open Beta release. I have tested it extensively and haven't found any missed signals, but if you spot any issues, please report them below. KEY FEATURES: Comprehensive Detection: Catches both Regular (Reversals) and Hidden (Trend Continuation) divergences. Fast Reaction: Signals are confirmed immediately on the next candle close (1 bar lag). Advanced Context: Highlights high-probability divergences from OB/OS zones and identifies Pullback Setups (Hidden divergences forming after Regular ones). Filters: Includes a Volume MA filter and a Noise filter to ignore weak or short-term signals. Reliability: No repainting. Historical signals stay fixed for accurate backtesting. Pivot Tolerance: Features an adjustable tolerance setting, allowing divergence lines to "cut through" a defined number of candles or minor RSI fluctuations (micro-pivots). This ensures valid setups aren't discarded due to small market noise. Current State: The visual detection logic is fully operational (Open Beta). The alert system is currently disabled for verification purposes and will be implemented in a future update once signal stability is confirmed. Cheers, Chia100 RISK WARNING & DISCLAIMER: This indicator is provided for educational purposes only. It does not constitute financial advice. Use at your own risk. Past performance does not guarantee future results.
Indicatore Pine Script®
di Chia100
Algorithmic Regime Classifier - Lovable Chart**Join our Discord community for further discussion, updates, and help:** discord.gg --- ### **Algorithmic Regime Classifier (Market Regime Scanner Pro)** The **Algorithmic Regime Classifier** is a comprehensive, all-in-one market intelligence system designed to remove the noise from your charts. By combining volatility, momentum, volume, and multi-timeframe analysis, this indicator identifies the specific "Regime" the market is currently in—helping you trade *with* the flow rather than against it. From detecting "Master Pattern" squeezes to identifying institutional order blocks and volume spikes, this tool acts as your automated trading analyst. --- ### **🌟 Key Features** #### **1. Market Regime Detection (The Core Engine)** The indicator automatically classifies price action into clear color-coded phases, removing analysis paralysis: * **🔵 Contraction (Blue):** The "Squeeze." Volatility is low, and energy is building. *Strategy: Wait for the breakout.* * **🟨 Expansion (Yellow):** The "Breakout." Volatility is expanding rapidly from a squeeze. * **🟩 Strong Uptrend (Green):** Confirmed bullish trend with volume and ADX support. * **🟥 Strong Downtrend (Red):** Confirmed bearish trend with volume and ADX support. * **⬜ Normal/Weak Range:** Low probability choppy zones. #### **2. 🤖 AI Smart Companion** A unique text-based assistant located on your chart that interprets all data points in real-time. It provides: * **Current Status:** (e.g., "MASTER PATTERN: CONTRACTION") * **Actionable Advice:** (e.g., *"Value building in progress. STAY FLAT."* or *"Institutional Entry Detected! Trail stops."*) * **Visual Confidence:** Changes color based on the strength of the setup (Green for Go, Purple for Trap, Blue for Wait). #### **3. Multi-Timeframe (MTF) Bias Dashboard** Don't trade in a vacuum. The pro dashboard analyzes **Trend, Money Flow, Momentum, Volume, and Volatility** across timeframes ranging from **1 minute to Monthly**. * **Confluence Check:** Calculates a composite score to tell you if "Buyers are in Control" or if there are "Mixed Signals." * **Anchoring:** Checks higher timeframes to ensure you aren't scalping against a massive trend. #### **4. Smart Money Concepts (SMC) & Structure** * **Order Blocks:** Automatically plots Bullish and Bearish order blocks based on consolidation and volume breakouts. Includes mitigation logic (blocks disappear when price tests them). * **Support & Resistance:** Dynamic pivot-based S/R levels that track when zones are tested and broken. #### **5. Quant Delta Volume Bubbles** Detects hidden institutional activity using statistical Z-Scores. * **Momentum Events:** Large aggressive buying/selling. * **Absorption:** Passive limit orders absorbing aggressive market orders (often marks reversals). * **Ghost Lines:** Visualizes where large liquidity entered the market, acting as future defense levels. #### **6. VIX Exhaustion Signals** Uses a calculated "Fear Index" (Williams Vix Fix) combined with Bollinger Bands to identify market bottoms and top-exhaustion points. * **Signals:** High-contrast arrows and labels indicating potential reversals when price is overextended. --- ### **🛠️ How to Trade This System** **The "Master Pattern" Strategy:** 1. **Wait for Blue (Contraction):** Look for the blue background and "Squeeze" signals. This indicates energy storage. 2. **Await the Breakout:** Watch for the transition to **Yellow (Expansion)** or **Green/Red (Trend)**. 3. **Confirm with AI & MTF:** Check the AI Companion text. If it says "IGNITION" and the MTF Dashboard shows alignment (e.g., Buyers in Control), enter the trade. 4. **Target:** Use the generated Support/Resistance lines or Order Blocks as take-profit targets. --- ### **Settings & Customization** * **Regime Sensitivity:** Adjust the Contraction/Expansion factors to fit your asset's volatility. * **Dashboard Positioning:** Move the AI Companion and MTF tables to any corner of the screen to fit your layout. * **Visuals:** Toggle specific features (Order Blocks, Bubbles, S/R) on or off to keep your chart clean. --- **Disclaimer:** *This indicator is for educational and analytical purposes only. Past performance does not guarantee future results. Always manage your risk.*
Indicatore Pine Script®
di LovableInvestment
volume Pattern extremumThis Pine Script indicator detects potential local tops/bottoms when price makes a strong move on relatively low aggregated volume + long rejection wick. Core logic in brief: • Calculates z-scores for:
• Price (average of high/close/low)
• Combined volume (spot + perp) • Signal conditions:
• Strong price impulse: z_price > +1.5 (top) or < –1.5 (bottom)
• Volume not extreme: z_volume < +1.0 (relatively low/normal)
• Candle has long wick: ≥70% of range (upper for top, lower for bottom) • Plots small white triangles above (potential top) / below (potential bottom) Main idea: Significant price rejection on not very high volume with clear wick structure — often a sign of exhaustion, trap or weak move that may reverse.
Indicatore Pine Script®
di bidagor
AZ Trader V3.0AZ Trader – Trading from A to Z AZ Trader is a professional all-in-one trading indicator designed to simplify market decisions and highlight high-quality trade opportunities. Built on advanced price structure analysis combined with momentum and volatility filtering, AZ Trader focuses on delivering clean, precise, and actionable signals while reducing market noise. The indicator supports multiple trading styles: Scalping Intraday trading Swing trading AZ Trader works across all timeframes and markets, including forex, gold, indices, and cryptocurrencies. Key benefits: High-confidence trade setups Reduced false signals Clear entries with logical trade management Clean chart without unnecessary indicators This script is Invite-Only. Access is limited and the source code is fully protected. --- AZ Trader – التداول من الاف الى الياء AZ Trader هو مؤشر تداول احترافي شامل، مصمم لتبسيط قرارات التداول وإبراز فرص تداول عالية الجودة بوضوح. يعتمد المؤشر على تحليل متقدم لهيكل السعر مع دمج الزخم وفلترة التقلبات، ليقدم إشارات دقيقة، واضحة، وقابلة للتنفيذ مع تقليل تشويش السوق. يدعم AZ Trader عدة أساليب تداول: السكالبينغ التداول اليومي التداول متوسط المدى يعمل على جميع الفريمات والأسواق، بما فيها الفوركس، الذهب، المؤشرات، والعملات الرقمية. أهم المميزات: صفقات بثقة أعلى تقليل الإشارات الخاطئة نقاط دخول واضحة وإدارة صفقة منطقية شارت نظيف بدون ازدحام المؤشر Invite-Only والوصول إليه محدود مع حماية كاملة للكود.
Indicatore Pine Script®
di aztrader30
OT Zones Pro | Intraday Quantitative & Macro LevelsNote to Moderators & Community: First and foremost, I would like to offer my sincere apologies if the previous description of this tool was insufficient or lacked the technical depth required to demonstrate its originality. My intention is solely to provide a robust analytical tool for the community based on specific mathematical models, and never to mislead or cause harm to any trader. We are committed to transparency regarding the methodology used while protecting the proprietary values of the code. Concept & Methodology OT Zones Pro is not a standard Support & Resistance indicator, nor does it use public domain formulas like Fibonacci, Pivot Points, or standard Moving Averages. Instead, it is a custom-built Quantitative Volatility Model designed to identify high-probability institutional interest areas specifically for Intraday Trading . The script operates on two distinct proprietary layers: Dynamic Volatility Bands (The Math): Unlike static levels or common open-source indicators, this engine operates on a strict institutional quantitative perspective . It calculates dynamic thresholds where each asset class triggers a unique calculation logic. This logic is derived from the asset's specific inherent volatility and potential intraday structural pivoting points, strictly based on mathematical modeling rather than standard technical indicators. This allows the script to project "Primary Dynamic Resistances" (PDR) and "Dynamic Supports" (PDS) that adapt to the asset's specific nature during the session. Hard-Coded Macro Data (The Database): The script contains an internal, encrypted database of annually pre-calculated macro market zones . These are not generated by recent high/low candles but are fixed structural levels injected into the chart based on proprietary annual analysis. The plotting mechanism controls the visibility of these zones by considering a specific expected movement threshold unique to each asset, ensuring that levels are only displayed when they are statistically relevant to the current price action (filtering out noise). Optimized for Intraday: The logic relies on Session Open data anchors (09:30 EST), making it designated for timeframes between 1 minute and 30 minutes . Auto-Asset Recognition (Supported Markets): The script automatically detects the ticker and applies the correct mathematical model for: Nasdaq: QQQ (ETF), NQ/MNQ (Futures), US100, NAS100 (CFDs). S&P 500: SPY (ETF), ES/MES (Futures), US500 (CFDs). Dow Jones: DIA (ETF), YM/MYM (Futures), US30 (CFDs). Russell 2000: IWM (ETF), RTY/M2K (Futures), US2000 (CFDs). Bitcoin: IBIT (ETF), BTC (Futures CME), Crypto Spot & Crypto futures. Metals: Gold & Silver (ETF, Futures, CFDs). Sentiment Analysis Panel: A real-time logic module that analyzes price behavior throughout the trading session. The sentiment classification is derived from the relationship between the current price and the calculated PDR/PDS levels, combined with an additional layer of private, encrypted quantitative logic to determine the market bias (Neutral, Bullish, Bearish, Extreme). Macro Zone Alerts: Includes a "Trigger on Entry" feature, allowing traders to set server-side alerts specifically when price breaches a defined Macro Zone. Why is this "Invite-Only"? The source code is protected because it contains: Proprietary Math: The asset-specific logic and volatility calculations are the result of extensive quantitative research and are not public domain. Curated Database: The specific price arrays for the Macro Zones are intellectual property derived from pre-calculated annual structures, not generic chart reading. Risk Disclaimer & Feedback We are fully open to suggestions and constructive feedback from the community to improve this tool. Our goal is to aid analysis, not to generate financial loss. Please remember that this indicator provides technical levels based on probabilities; it does not guarantee future performance. Trading involves significant risk.
Indicatore Pine Script®
di EduardoOT