Pressurezones — Indicadores y estrategias

Meridian Imbalance Ledger [JOAT]Meridian Imbalance Ledger Introduction Meridian Imbalance Ledger is an open-source imbalance mapping tool that tracks confirmed chart-timeframe, higher-timeframe, and micro-structure fair value gaps inside one coordinated framework. The script is designed to answer three practical questions: where imbalance was created, whether that imbalance is still active, and how price is behaving when it returns to those zones. The indicator solves a context problem. Many imbalance tools only mark a gap once and leave the trader to manually judge whether it remains relevant. Meridian instead maintains a living ledger of active zones, inversion status, fill progress, age, and structural pressure so the chart shows which imbalances still matter and which ones have been consumed. Core Concepts 1. Multi-source imbalance detection Meridian separates imbalance generation into three sources: Chart timeframe imbalances Higher-timeframe imbalances requested with non-repainting offset logic Optional micro-structure imbalance scans from lower-timeframe data This allows a trader to see whether current price is interacting with local inefficiency, inherited higher-timeframe inefficiency, or smaller sub-bar displacement inside the current bar structure. 2. Fill progress and retirement logic Each zone remains active until its fill rule is satisfied. The script supports configurable retirement behavior so zones can be treated as mitigated on a simple touch, midpoint interaction, or deeper body-based invalidation depending on the chosen rule set. 3. Inversion tracking If price meaningfully breaches an imbalance, the zone can be treated as structurally altered rather than simply forgotten. Meridian keeps inversion state so prior bullish inefficiency can become resistance context and prior bearish inefficiency can become support context. 4. Age and pressure weighting Not all zones deserve equal weight. Meridian tracks zone age and active count to create a pressure ratio that helps communicate whether bullish or bearish imbalance structure is dominating the chart right now. Features Chart, HTF, and micro imbalance layers: Multiple imbalance sources displayed in one coordinated ledger Non-repainting HTF requests: Higher-timeframe data requested using historical offsets for safer confirmed context Fill-progress tracking: Zones remain active until their configured retirement condition is met Inversion state handling: Breached imbalances can remain visible as flipped structural context Age-aware zone fading: Older zones visually decay to reduce clutter while retaining context Pressure ratio and active counts: Quick read on whether bullish or bearish imbalance pressure is leading Compact top-right dashboard: Displays counts, inversion totals, micro scan status, and bias ratio Confirmed-bar alerts: New imbalance, inversion, and state transitions only trigger on confirmed bars How to Use This Indicator Step 1: Identify whether current price is trading inside fresh chart-timeframe imbalance or approaching older inherited imbalance from a higher timeframe. Step 2: Use the dashboard counts and bias ratio to judge whether current imbalance structure is skewed toward support or resistance. Step 3: Monitor inversion states. A previously bullish zone that has failed cleanly may become useful resistance context on retests. Step 4: Treat micro imbalance scans as execution detail, not a standalone trend signal. The broader chart and HTF layers should carry more decision weight. Limitations Micro-structure scans depend on lower-timeframe availability and plan limits HTF imbalances are intentionally delayed by one completed HTF bar to reduce repaint risk An imbalance zone is contextual, not a guarantee of reversal or continuation Originality Statement Meridian Imbalance Ledger is original in the way it combines confirmed chart imbalances, non-repainting higher-timeframe imbalance inheritance, optional micro scans, and zone lifecycle management into one stateful framework. The script is intended as a structured market context layer, not a one-click entry signal. Disclaimer This indicator is provided for educational and informational purposes only. It does not provide financial advice or trade recommendations. Imbalance reactions can fail, invert, or be ignored entirely by the market. Always use independent confirmation and risk management.

por officialjackofalltrades

Structural Sequence Pressure [JOAT]Structural Sequence Pressure Introduction Structural Sequence Pressure is a market-structure breakout indicator built around the idea that not all pivot levels carry the same weight. A level formed after one isolated pivot is ordinary. A level formed after repeated higher lows or lower highs represents structural persistence. This script quantifies that persistence, plots the resulting support and resistance levels, and highlights when those levels break. The indicator is designed for traders who want clean structure without overfitting. It tracks sequence depth, manages active levels, and focuses attention on breaks that matter more because the market spent time constructing them. Why This Indicator Exists Sequence-Based Structure: Measures how many pivots formed in the same directional progression Level Significance Filter: Helps distinguish weak levels from structurally reinforced ones Live Break Detection: Signals when meaningful support or resistance gives way Clutter Control: Caps active lines and labels to keep charts readable Statistical Feedback: Shows the most recent sequence pressure behavior directly in the dashboard Core Components Explained 1. Confirmed Pivot Detection pivHigh = ta.pivothigh(high, leftBars, rightBars) pivLow = ta.pivotlow(low, leftBars, rightBars) The script only reacts to confirmed pivots. This means levels are built from validated swing points rather than from intrabar noise, which keeps the tool stable and non-repainting after pivot confirmation. 2. Upward and Downward Sequence Counting When a new pivot low forms higher than the previous pivot low, the upward sequence count increases. When a new pivot high forms lower than the previous pivot high, the downward sequence count increases. If the relationship fails, the sequence resets to one. Higher lows: Build upward structural pressure Lower highs: Build downward structural pressure Longer sequences: Represent stronger structural continuity 3. Active Level Engine Every confirmed pivot creates a horizontal level that extends right. Support levels come from pivot lows. Resistance levels come from pivot highs. Each level stores: Its price Whether it is support or resistance Its sequence depth Its creation time Levels are trimmed by age and capped by quantity so the chart stays clean. 4. Break Logic brokeSupport = close < supportLevel brokeResistance = close > resistanceLevel Only levels with sequence depth greater than or equal to the selected threshold can trigger signals. This creates a cleaner breakout map that emphasizes structurally meaningful failures and expansions. 5. Chart Hygiene Controls The script stores and prunes pivot labels so they do not accumulate indefinitely. Broken or expired levels are removed from active management, and broken levels can optionally be deleted immediately for a cleaner chart. Visual Elements Support Lines: Teal dashed levels extending from higher-low pivots Resistance Lines: Red dashed levels extending from lower-high pivots Pivot Labels: Compact U/D sequence tags showing progression depth Break Markers: Triangles on bullish resistance breaks and bearish support breaks Dashboard: Up sequence, down sequence, total breaks, last break depths, and active level count Input Parameters Pivot Left / Right Bars: Confirmation strength for structural swings Minimum Sequence: Required sequence depth before a break can trigger Max Active Levels: Hard cap for line management and chart cleanliness Max Level Age: Removes stale structure from consideration Delete Broken Levels: Optional cleanup for a more minimal chart How to Use This Indicator Step 1: Identify whether the market is building higher lows or lower highs. Step 2: Focus on levels with deeper sequence counts. Step 3: Treat bullish signals as upside breaks of resistance sequences. Step 4: Treat bearish signals as downside breaks of support sequences. Step 5: Use the level count and recent break depths to judge whether structure is compressing or resolving. Best Practices Use larger pivot settings on volatile instruments to reduce noise Increase minimum sequence length when markets are choppy Pair with trend or participation tools to separate continuation from exhaustion Respect old levels less than fresh ones unless they were built with deep sequence pressure Use the dashboard to calibrate structure sensitivity instrument by instrument Indicator Limitations Pivot-based tools confirm after the fact by design Sequence strength measures persistence, not certainty Very low pivot settings can create too many structural levels Very high pivot settings can delay signals Breakouts can still fail, especially in range-bound conditions Technical Implementation Built in Pine Script v6 using: Confirmed pivot detection Directional sequence counting Array-managed line storage Label retention caps for chart cleanliness Age-based level cleanup Non-repainting break logic on confirmed bars Originality Statement This indicator is original in its focus on sequence depth as the source of structural weighting. Many support and resistance tools draw levels; this one grades their importance by the persistence of the swing process that created them, then filters breakout logic through that structural pressure. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Structural breaks can fail, reverse, or whipsaw. Always use independent analysis, stops, and appropriate risk management. -Made with passion by officialjackofalltrades

por officialjackofalltrades

Volumetric Pressure Gradient [JOAT]Volumetric Pressure Gradient Introduction Volumetric Pressure Gradient is an institutional-style volume location oscillator that converts rolling value distribution into a clean 0-100 pressure map. Instead of forcing the trader to interpret raw profile levels in price space only, the indicator rescales the Point of Control, Value Area High, and Value Area Low into the same oscillator space as current price location. This creates a direct view of whether price is trading above value, below value, or rotating through equilibrium. The result is a cleaner decision tool for traders who want to understand auction positioning without cluttering the chart with a full profile rendering. It is designed to answer a simple but powerful question: where is price trading relative to where volume has actually concentrated? Why This Indicator Exists Value Location Context: Shows where price sits inside the recent auction range POC Relationship: Highlights when price is trading above or below volume-weighted equilibrium Value Area Awareness: Tracks whether price is stretching outside accepted value or rotating back into it Momentum Confirmation: Uses consecutive closes relative to the scaled POC for cleaner pressure confirmation Compact Visualization: Delivers profile intelligence in a sub-pane without overwhelming the chart Core Components Explained 1. Rolling Volume Distribution winHigh = ta.highest(high, lookback) winLow = ta.lowest(low, lookback) binSize = (winHigh - winLow) / bins The indicator builds a rolling distribution over the selected lookback window using equal-width price bins. Each candle contributes volume into the bin that contains its midpoint. This keeps the logic fast, stable, and visually clean while still capturing where trade participation has concentrated. 2. Point of Control Calculation The Point of Control is the bin with the greatest accumulated volume. It represents the most accepted price area inside the current rolling auction. When the oscillator is above the scaled POC, buyers are holding price above accepted value. When below, price is trading at a discount relative to the current volume center of gravity. 3. Value Area Expansion vaTarget = totalVol * valueAreaPct / 100.0 Starting from the POC, the script expands upward and downward until the cumulative volume reaches the selected value area percentage. This produces a dynamic Value Area High and Value Area Low that respond to where trading activity is actually clustering. 4. Oscillator Normalization oscillator = ta.ema((close - winLow) / range * 100.0, smoothLen) Price location is transformed into a 0-100 oscillator so it can be compared directly against the scaled POC and value boundaries. This turns volume profile interpretation into a faster read: Above POC = premium to value Below POC = discount to value Near Value Area High = acceptance near upper auction boundary Near Value Area Low = acceptance near lower auction boundary 5. Pressure Confirmation Logic The indicator tracks consecutive bars above or below the scaled POC. This avoids overreacting to one-bar noise and helps confirm whether price is actually sustaining premium or discount pressure. Visual Elements Main Oscillator: Color-switching pressure line based on price location relative to POC POC Line: Gold equilibrium reference showing accepted value VA High / VA Low: Soft boundary lines for the active value area Gradient Fill: Bullish above POC, bearish below POC OB/OS Background: Optional shading when price stretches to extremes Momentum Markers: Compact confirmation triangles when above/below-POC pressure persists Dashboard: Live readout of VAH, POC, VAL, width, position, and regime Input Parameters Lookback Bars: Window used for the rolling profile and oscillator normalization Value Area %: Percentage of total volume used to define accepted value Overbought / Oversold: Stretch thresholds for auction extremes Momentum Confirm Bars: Required bars above or below POC before confirmation fires Oscillator EMA: Smoothing applied to the normalized pressure line How to Use This Indicator Step 1: Identify whether the oscillator is above or below the POC. This tells you if price is trading at premium or discount relative to recent value. Step 2: Check whether price is rotating inside value or expanding away from it. Step 3: Watch for momentum confirmation markers when pressure sustains on one side of the POC. Step 4: Use overbought and oversold conditions as context, not automatic reversal signals. Step 5: Combine with structure or trend tools for directional execution. Best Practices Use on liquid markets where reported volume is meaningful Treat the POC as equilibrium, not as guaranteed support or resistance Combine premium/discount information with higher-timeframe structure Momentum confirmation works best when the value area is not extremely narrow Value area width can help identify compression vs expansion conditions Indicator Limitations This is a rolling approximation of value, not a full exchange-native volume profile engine Very small lookbacks can make value levels overly reactive Overbought and oversold readings can remain extended in strong trends Value acceptance does not guarantee reversal Volume quality varies by market and broker feed Technical Implementation Built in Pine Script v6 using: Rolling bin-based volume distribution POC-first value area expansion Normalized 0-100 price-location oscillator EMA smoothing for pressure readability Consecutive-bar momentum confirmation Non-repainting confirmed-bar updates Originality Statement This indicator is original in how it compresses profile-style value logic into an oscillator workflow. Rather than drawing a traditional profile on the price chart, it translates value, equilibrium, and range position into a compact pressure framework that is easier to combine with momentum and structure analysis. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves risk, including the risk of loss. Volume-based context improves decision quality, but it does not predict future price movement with certainty. Always use proper risk management and independent judgment. -Made with passion by officialjackofalltrades

por officialjackofalltrades

Confluence Signal Engine [JOAT]Confluence Signal Engine Introduction Most traders encounter a common trap: stacking multiple indicators that all claim to measure something different, yet each one is ultimately derived from the same price data. The result is not confirmation — it is correlated noise presented as agreement. The Confluence Signal Engine was built to address this directly. This indicator assigns a composite score to the current market condition by evaluating six deliberately chosen dimensions of market behavior. Each dimension is designed to measure a fundamentally different property of price action. When multiple dimensions agree, that agreement carries more weight than any single indicator firing alone. The result is a single, normalised score between -1 and +1, accompanied by a visual confidence meter and a score breakdown table so you can see exactly what is driving the signal. This is an overlay indicator — it plots directly on the price chart. --- Core Concepts The Six Scoring Dimensions Each dimension returns one of three values: +1 (bullish contribution), -1 (bearish contribution), or 0 (neutral / insufficient data). These are summed and divided by 6.0 to produce the composite score. D1 — EMA Alignment (Trend Direction) Compares a fast EMA to a slow EMA. If the fast EMA is above the slow EMA, the trend dimension scores +1. If below, it scores -1. This is the structural backbone — a baseline read on which side of the trend the price currently sits. D2 — Price Z-Score (Statistical Deviation) Calculates how many standard deviations the current close is from a baseline EMA. A Z-score below the negative threshold suggests the price has deviated far enough below the mean to be considered statistically stretched — a potential reversion candidate, scored +1. A Z-score above the positive threshold scores -1. This dimension does not measure trend; it measures relative price position against recent statistical norms. D3 — Volume Pressure (Demand Validation) Uses a Volume RSI (RSI applied to volume over 8 bars, divided by 50) as a proxy for whether volume activity is elevated. When volume pressure exceeds the threshold, the candle's direction (close vs. open) determines the score: a bullish candle in high-volume conditions scores +1; a bearish candle scores -1. When volume is not elevated, this dimension returns 0, contributing nothing. This prevents volume noise on low-activity bars from polluting the signal. D4 — RSI Momentum (Momentum Quality) Evaluates both the current RSI value and its slope. A rising RSI above 50 scores +1 — confirming that momentum is positive and strengthening. A falling RSI below 50 scores -1. This differs from a simple RSI threshold because the slope requirement means momentum must be actively moving in the scored direction, not merely sitting above or below a level. D5 — Structural Position (Range Placement) Compares the current close to the midpoint of the highest high and lowest low over a configurable lookback period. Closing above the midpoint scores +1; closing below scores -1. This is a simple but useful structural context: is price holding in the upper or lower half of its recent range? D6 — Volatility Context (Environment Quality) Divides a fast ATR by a slow ATR to produce a volatility ratio. A low ratio (calm, contracting volatility) scores +1 — historically a more favorable environment for trend continuation. A high ratio (expanding, elevated volatility) scores -1, flagging that the current environment may be erratic. A ratio between the two thresholds is neutral. This dimension does not predict price direction; it assesses whether current conditions are conducive to acting on the other signals. --- Composite Score and Confidence compositeScore = (D1 + D2 + D3 + D4 + D5 + D6) / 6.0 confidence = math.abs(compositeScore) * 100 The composite score ranges from -1.0 (all six dimensions bearish) to +1.0 (all six dimensions bullish). The confidence value is simply the absolute magnitude — a score of ±1.0 represents 100% agreement across all dimensions, while a score near 0 represents disagreement or neutrality. Signal thresholds: Score > buy threshold (default 0.3) → bullish signal Score < sell threshold (default -0.3) → bearish signal Score > high-confidence threshold (default ±0.6) → high-confidence signal Signals are gated by barstate.isconfirmed — they only fire on fully closed bars, preventing intra-bar repainting. State tracking also prevents the same directional signal from repeating consecutively without a change in direction first. --- Visual Components 24-Cell Gradient Confidence Meter A horizontal bar of 24 cells is displayed at the bottom of the chart. The left side is the bearish extreme, the center is neutral, and the right side is the bullish extreme. The current composite score position is highlighted within the meter, giving a continuous visual read of where the market sits in the conviction range — not just whether a signal has fired, but how strongly. Score Breakdown Table A table showing three columns for each dimension: dimension name, dimension number, and its current score (+1, -1, or 0). This allows you to see exactly which dimensions are contributing to the composite and which are neutral or conflicting. Gradient Bar Coloring Price bars are colored using a gradient that interpolates from a neutral color toward the signal color, weighted by the absolute value of the composite score. A high-confidence bull signal produces a strong green bar; a low-confidence or mixed signal produces a muted or neutral color. This keeps bar coloring proportional to actual conviction rather than using a binary flip. --- Features Six-dimension composite scoring system covering trend, statistics, volume, momentum, structure, and volatility Composite score normalised to with confidence percentage Non-repainting: all signals confirmed on bar close via barstate.isconfirmed State-tracked signals prevent repeated same-direction firing 24-cell gradient confidence meter with continuous position display Score breakdown table showing each dimension's individual contribution Gradient bar coloring proportional to conviction level Configurable thresholds for all six dimensions and signal levels --- Input Parameters EMA Fast / Slow (default 21 / 55) — D1 trend alignment Z-Score Baseline EMA (default 50) — the mean used for Z-score calculation Z-Score Window (default 50) — standard deviation lookback Z-Score Threshold (default 1.5) — how many standard deviations trigger the score Volume RSI Length (default 8) — RSI period applied to volume Volume Threshold (default 1.2) — Volume RSI / 50 must exceed this to activate D3 RSI Length (default 14) — standard RSI period for D4 Structure Lookback (default 20) — bars used to define the high/low range for D5 ATR Fast / Slow (default 14 / 50) — periods for the volatility ratio in D6 Volatility Thresholds (default 0.8 / 1.5) — low and high boundaries for the ATR ratio Buy Threshold (default 0.3) — minimum composite score to generate a long signal Sell Threshold (default -0.3) — maximum composite score to generate a short signal High-Confidence Threshold (default ±0.6) — score level at which a signal is classified as high-confidence --- How to Use Apply to any chart. The overlay paints directly on price bars. Watch the confidence meter for the current composite score position. A score pressed toward either extreme with multiple dimensions aligned is a higher-quality read than one sitting near center. Use the score breakdown table to understand why the composite score is what it is. If only 2 of 6 dimensions are contributing, the signal is weaker regardless of whether it crossed the threshold. High-confidence signals (score beyond ±0.6 by default) indicate that four or more of the six dimensions are in agreement. These can be treated as stronger setups than threshold-level signals. Combine the composite score read with your own price action, support/resistance, or higher-timeframe context before entering a trade. This indicator is a confluence tool, not a standalone entry system. If several dimensions are conflicting (score near 0), the market is not in a clear state — no action is the appropriate response. --- Limitations No indicator can predict future price. The composite score reflects current market conditions based on recent historical data — not what will happen next. Z-score and structural position dimensions are mean-reverting in nature, while EMA alignment and RSI momentum are trend-following. In strongly trending markets, D2 and D5 may produce persistent bearish readings even during a healthy uptrend, suppressing the composite score. This is by design — the indicator is more suited to environments where confluence across all dimensions is achievable. Volume RSI (D3) is only reliable on instruments and timeframes with consistent, meaningful volume data. On synthetic instruments, indices, or very low-timeframe charts, volume data may be unreliable and D3's contribution should be weighted accordingly. The volatility context dimension (D6) measures the environment , not direction. A low-volatility score of +1 does not mean the market is about to move up — only that conditions are historically more favorable for clean signals. Signal state tracking prevents consecutive same-direction signals, which reduces noise but also means the indicator will not re-fire during a prolonged trending move. This is a deliberate design choice but should be understood before use. Default thresholds were chosen for general applicability. Different asset classes, timeframes, and volatility regimes may benefit from threshold adjustment. Past signal quality on any given instrument does not guarantee future performance. --- Originality Statement The core innovation of this indicator is the deliberate selection of six dimensions that measure fundamentally different market properties rather than multiple views of the same property. Standard multi-indicator approaches tend to combine RSI, MACD, and Stochastic — all of which are momentum oscillators derived from price, generating correlated signals that appear independent but are not. This indicator separates the problem into distinct domains: trend direction (EMA alignment), statistical deviation from the mean (Z-score), demand-side pressure (Volume RSI), momentum quality and direction (RSI slope + level), structural placement within recent range (midpoint comparison), and environmental favorability (ATR ratio). Because these dimensions are largely uncorrelated with each other, genuine multi-dimension agreement represents a qualitatively different kind of confluence than stacking three oscillators. The 24-cell gradient meter goes further — it provides a continuous conviction read rather than a binary signal, treating market condition as a spectrum. --- Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. All trading involves risk, including the possible loss of principal. Past indicator performance does not guarantee future results. Always conduct your own research and consult a qualified financial professional before making any trading decisions. -Made with passion by officialjackofalltrades

por officialjackofalltrades

Confluence Ledger [JOAT]Confluence Ledger Introduction The Confluence Ledger is an advanced open-source multi-timeframe confluence scoring engine that evaluates eight independent analytical dimensions across five configurable timeframes, producing a unified directional bias score from 0 to 100. It answers the question every trader asks: "Do the timeframes agree, and how strongly?" Rather than checking multiple indicators on multiple charts, this single tool synthesizes trend alignment, momentum phase, volatility state, market structure, volume conviction, RSI regime, VWAP bias, and ATR expansion into one actionable number. The indicator overlays on the price chart with gradient-colored candles, confluence pressure zones, regime transition lines, divergence detection boxes, and institutional confluence signals - all backed by a compact 12-row dashboard that displays every metric in real-time. Why This Indicator Exists Multi-timeframe analysis is widely recognized as essential for high-probability trading, but executing it manually is tedious and error-prone. A trader might check the daily trend, the 4H momentum, the 1H structure, and the 15m entry — but doing this across eight different analytical dimensions is impractical without automation. The Confluence Ledger automates this entire process by: Scoring eight distinct analytical dimensions on each of five timeframes, producing 40 individual data points per bar Weighting higher timeframes more heavily (Daily gets 2x the weight of the 5-minute chart), reflecting the institutional reality that higher timeframe trends dominate Mapping the weighted aggregate to a 0-100 scale where 50 is perfectly neutral, above 60 is bullish, and below 40 is bearish Adding institutional features that analyze the score itself: pressure zones where extreme confluence persisted, regime transitions where the bias flipped, and divergences between price and the confluence score The Eight Scoring Dimensions Each dimension returns a score from -1 (maximum bearish) to +1 (maximum bullish). Here is what each measures and why it matters: 1. Trend Alignment Combines EMA slope direction with price position relative to the adaptive moving average. If price is above a rising EMA, the trend score is +1. If price is below a falling EMA, it is -1. Mixed conditions produce intermediate scores. This captures the most fundamental question: is the trend up or down? 2. Momentum Phase A composite of three normalized oscillators — Bollinger %B, CCI, and ROC. Each is scored independently and averaged. This measures whether momentum is bullish, bearish, or neutral, using three different mathematical approaches to reduce the chance of a single oscillator giving a misleading signal. 3. Volatility State Measures Bollinger Band width relative to its 50-bar average. Expanding volatility scores positive (in the direction of price), compressing volatility scores near zero. This dimension captures whether the market is in expansion (trending) or compression (range-bound). 4. Structure Bias Uses an oscillator-based swing detection method to track whether the market is making higher highs/higher lows (bullish structure, score +1) or lower highs/lower lows (bearish structure, score -1). This is the structural backbone of Smart Money analysis. 5. Volume Conviction Calculates current volume relative to the 20-bar average and weights it by candle direction. A bullish candle on 2x average volume scores strongly positive. A bearish candle on low volume scores weakly negative. This measures whether volume confirms the directional move. 6. RSI Regime RSI position relative to 50 provides the base score, with additional weight for extreme readings (above 70 or below 30). This captures overbought/oversold conditions and the general momentum regime. 7. VWAP Bias Price distance from VWAP normalized by ATR. When price is significantly above VWAP, institutional flow is net bullish. Below VWAP, net bearish. The ATR normalization ensures the score adapts to the instrument's volatility. 8. ATR Expansion The rate of change of ATR itself, weighted by candle direction. When ATR is expanding in the direction of price, it confirms the move has volatility behind it. Contracting ATR suggests the move is losing energy. Multi-Timeframe Aggregation All eight dimensions are calculated on each of five timeframes (default: 5m, 15m, 1H, 4H, Daily) using request.security(). The per-timeframe scores are then weighted: TF1 (5m): weight 1.0 TF2 (15m): weight 1.2 TF3 (1H): weight 1.5 TF4 (4H): weight 1.8 TF5 (Daily): weight 2.0 This weighting reflects the institutional principle that higher timeframe trends are more significant. A strong daily bias overrides conflicting 5-minute noise. The weighted aggregate is mapped from to : float confluence_score = math.round((raw_agg + 1.0) / 2.0 * 100) Score interpretation: 80-100: EXTREME LONG — near-unanimous multi-TF bullish agreement 70-79: STRONG LONG — clear bullish bias across most timeframes 60-69: LEAN LONG — moderate bullish tilt 41-59: NEUTRAL — no clear directional consensus 31-40: LEAN SHORT — moderate bearish tilt 21-30: STRONG SHORT — clear bearish bias 0-20: EXTREME SHORT — near-unanimous bearish agreement Institutional Analytics Engine Beyond the core score, the indicator calculates several advanced metrics: TF Agreement: Counts how many of the five timeframes are bullish vs bearish. When 4+ timeframes agree, a "Full Alignment" signal fires — these are the highest-conviction directional setups. Score Velocity: The rate of change of the confluence score itself. "ACCEL UP" means the score is rising and accelerating. "FALLING" means directional conviction is weakening. This is the first derivative of confluence — it tells you whether agreement is building or fading. Conviction Meter: Measures how tightly aligned the five timeframe scores are using standard deviation. Low variance (high conviction) means all timeframes agree closely. High variance (low conviction) means timeframes are giving conflicting signals. Cross-TF Momentum Divergence: Compares the average of lower timeframes (TF1+TF2) against higher timeframes (TF4+TF5). When lower TFs are leading (diverging bullish while higher TFs lag), it can signal an early trend change. When upper TFs are leading, the higher timeframe trend is asserting dominance. HTF Dominance: Identifies which higher timeframe is currently driving the overall bias the most. This tells you whether the daily, 4H, or 1H is the primary force behind the score. Dimension Consensus: Averages each of the eight dimensions across all five timeframes to find which dimension is the strongest driver. If "TREND" is the strongest dimension, the trend alignment across timeframes is the primary force. If "VOLUME" is strongest, volume conviction is driving the bias. Chart Features 1. Confluence Pressure Zones When the confluence score stays extreme (above 70 or below 30) for a configurable minimum number of bars (default 5), the indicator draws a dashed box marking the price range during that period. These "pressure zones" represent areas where sustained multi-timeframe agreement created institutional accumulation or distribution. They often act as future support/resistance. 2. Regime Transition Lines When the confluence score crosses from bullish to bearish territory (or vice versa), a labeled dashed line is drawn at the transition price. These lines show the exact price where the multi-timeframe consensus shifted — they act as institutional support/resistance levels that are derived from confluence rather than price structure. 3. Confluence Divergence Detector When price makes a new 20-bar high but the confluence score is declining (or price makes a new low but the score is rising), the indicator marks a confluence divergence. This is a unique concept — it detects divergence between a multi-timeframe composite score and price action, which is fundamentally different from single-oscillator divergence. 4. Institutional Confluence Signals Multi-condition filtered signals that fire when confluence score exceeds thresholds, velocity confirms, and a cooldown period has elapsed. These are the highest-conviction signals the indicator produces. 5. Gradient Confluence Candles Candles are colored on a gradient from the bearish color (score near 0) to the bullish color (score near 100). This creates an instant visual read of confluence strength on every candle. Input Parameters Timeframes: TF 1 through TF 5 (defaults: 5m, 15m, 60m, 240m, Daily) — all configurable Scoring Parameters: MA Length (27), ATR Length (14), BB Length (20), BB Mult (2.0) CCI Length (23), ROC Length (50), RSI Length (14), Swing Length (10) Institutional Features: Gradient Confluence Candles, Confluence Pressure Zones, Regime Transition Lines Confluence Divergence Boxes, Institutional Confluence Signals Signal Cooldown (20 bars), Pressure Zone Min Bars (5) How to Use This Indicator Step 1: Read the Score The confluence score (0-100) is your primary directional gauge. Above 60 = bullish bias. Below 40 = bearish bias. 40-60 = no clear edge — consider staying flat or reducing position size. Step 2: Check TF Agreement The dashboard shows how many timeframes agree. 4/5 or 5/5 agreement in one direction is a high-conviction setup. 2B/3S or similar splits suggest conflicting signals — proceed with caution. Step 3: Monitor Score Velocity A score of 72 that is "ACCEL UP" is more bullish than a score of 72 that is "FALLING." Velocity tells you whether the consensus is strengthening or weakening. Step 4: Use Pressure Zones as S/R When price returns to a previous pressure zone, expect a reaction. These zones represent areas where sustained multi-timeframe agreement existed — institutional memory. Step 5: Watch for Confluence Divergences If price is making new highs but the confluence score is declining, the multi-timeframe consensus is not confirming the move. This is a warning sign that the advance may stall or reverse. Step 6: Trade Regime Transitions When the score crosses from bearish to bullish territory (or vice versa), the regime transition line marks the pivot price. These transitions often produce sustained directional moves. Limitations The indicator uses request.security() to fetch data from five timeframes. On very low timeframes (1m), the higher timeframe data updates less frequently, which can create lag in the score. The weighting system (higher TFs get more weight) is a design choice that works well for trend-following. Scalpers who trade against the higher timeframe trend may find the score misleading for their style. Confluence score is a composite of mathematical calculations. A score of 80 does not mean "80% chance of going up" — it means 80% of the weighted analytical dimensions agree on a bullish reading. The indicator evaluates current conditions, not future ones. A high confluence score can reverse quickly on unexpected news or institutional repositioning. VWAP calculations may behave differently on instruments without continuous trading sessions. Past confluence patterns do not guarantee future confluence patterns. Originality Statement This indicator is original in its systematic multi-dimensional, multi-timeframe confluence approach. While individual components (EMA trend, RSI, VWAP, etc.) are established concepts, this indicator is justified because: It evaluates eight independent analytical dimensions simultaneously — not just trend and momentum, but also volatility state, market structure, volume conviction, RSI regime, VWAP bias, and ATR expansion Each dimension is scored on five timeframes with weighted aggregation, producing 40 data points synthesized into a single actionable score The Confluence Pressure Zone concept — marking areas where extreme multi-TF agreement persisted — creates institutional S/R levels derived from confluence rather than price structure Regime Transition Lines mark the exact price where multi-timeframe consensus shifted, providing a unique form of dynamic support/resistance Confluence Divergence Detection compares a multi-TF composite score against price action — fundamentally different from single-oscillator divergence Score Velocity, Conviction Meter, Cross-TF Momentum Divergence, HTF Dominance, and Dimension Consensus provide meta-analysis of the confluence score itself The integration of all these features with gradient candle coloring and a comprehensive dashboard creates a unified confluence analysis system not available in any single existing indicator Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. The confluence score is a mathematical composite of current market conditions across multiple timeframes. It does not predict future price movement. High confluence does not guarantee profitable trades. Market conditions can change rapidly, and past confluence patterns do not guarantee future patterns. Always use proper risk management. Never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades

por officialjackofalltrades

Pressure Zone Analyzer [JOAT]Pressure Zone Analyzer Introduction The Pressure Zone Analyzer is an advanced open-source support/resistance indicator that combines dynamic pivot-based zone detection, Fibonacci level analysis, institutional level tracking, zone strength scoring, and multi-timeframe analysis into a comprehensive pressure zone intelligence system. This indicator helps traders identify where significant buying and selling pressure exists, where institutional levels act as magnets for price, and which zones have the highest probability of holding. Unlike basic support/resistance indicators that draw static horizontal lines, this analyzer dynamically tracks pressure zones based on pivot points, calculates zone strength using volume, touches, and age, integrates Fibonacci golden zone analysis, monitors institutional weekly/daily levels, and provides real-time position assessment. The indicator is designed for traders who understand that not all support/resistance levels are equal and that zone quality determines trading success. Why This Indicator Exists This indicator addresses the challenge of identifying high-quality support and resistance zones in real-time. Markets respect some levels and ignore others. By systematically analyzing zone characteristics, this indicator reveals: Dynamic Pressure Zones: Identifies support and resistance zones based on pivot points with automatic updates Zone Strength Scoring: Calculates zone quality (0-100%) using volume, touch count, and age Fibonacci Integration: Tracks key Fibonacci levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) and golden zone (50-61.8%) Institutional Levels: Monitors weekly and daily highs/lows that act as institutional reference points Premium/Discount Zones: Identifies institutional buying zones (discount 0-30%) and selling zones (premium 70-100%) Multi-Timeframe Analysis: Tracks higher timeframe levels for additional confluence Position Assessment: Provides real-time analysis of price position relative to all zones Each component provides different zone intelligence. Pivot-based zones show where price reversed, strength scoring shows zone quality, Fibonacci shows mathematical levels, institutional levels show reference points, premium/discount shows institutional bias, and position assessment shows current market context. Together, they create a comprehensive pressure zone system. Core Components Explained 1. Dynamic Pivot-Based Zone Detection Pressure zones are identified using pivot highs and lows: float pivotHigh = ta.pivothigh(high, pivotLength, pivotLength) float pivotLow = ta.pivotlow(low, pivotLength, pivotLength) When a pivot high is detected, a resistance zone is created: if not na(pivotHigh) and barstate.isconfirmed PressureZone newZone = PressureZone.new() newZone.zoneLine := line.new(bar_index - pivotLength, pivotHigh, bar_index + 50, pivotHigh, color=resistanceColor, width=2, extend=extend.right) newZone.price := pivotHigh newZone.startBar := bar_index - pivotLength newZone.zoneType := "resistance" newZone.volumeAtZone := volume Similarly for support zones with pivot lows. Zones are stored in arrays and automatically managed (old zones are removed when maximum count is reached). Zone thickness is calculated as a percentage of price: calcZoneThickness(float price, float thicknessPercent) => float thickness = price * (thicknessPercent / 100) Default thickness is 0.5% of price, creating a zone rather than a single line. This accounts for the fact that support/resistance is a zone, not a precise price level. 2. Zone Strength Scoring System Zone strength is calculated using three weighted components: calcZoneStrength(int touches, float volAtZone, int age, float volWeight, float touchWeight, float ageWeight) => // Volume score (0-1) float avgVolume = ta.sma(volume, 50) float volScore = avgVolume > 0 ? math.min(volAtZone / avgVolume, 3.0) / 3.0 : 0.5 // Touch score (0-1) float touchScore = math.min(touches / 5.0, 1.0) // Age score (0-1) - newer zones score higher float ageScore = math.max(1.0 - (age / 500.0), 0.0) // Weighted combination float strength = (volScore * volWeight) + (touchScore * touchWeight) + (ageScore * ageWeight) Default weights: Volume Weight: 40% - Higher volume at zone formation indicates institutional interest Touch Weight: 30% - More touches indicate stronger zone Age Weight: 30% - Newer zones are more relevant than old zones Strength interpretation: > 70%: Strong zone - high probability of holding 50-70%: Moderate zone - decent probability of holding < 50%: Weak zone - lower probability of holding The indicator tracks touches in real-time: for zone in resistanceZones if inZone(high, zone.price, thickness) zone.touches += 1 zone.volumeAtZone := math.max(zone.volumeAtZone, volume) Each touch increases zone strength, and high-volume touches increase it further. 3. Fibonacci Level Analysis Fibonacci levels are calculated based on recent swing range: calcFibLevels(float high, float low) => float priceRange = high - low float fib236 = low + (priceRange * 0.236) float fib382 = low + (priceRange * 0.382) float fib500 = low + (priceRange * 0.500) float fib618 = low + (priceRange * 0.618) float fib786 = low + (priceRange * 0.786) The indicator focuses on key levels: 50% (0.5): Equilibrium level - often acts as support/resistance 61.8% (0.618): Golden ratio - strongest Fibonacci level Golden Zone is calculated as the area between 50% and 61.8%: calcGoldenZone(float high, float low) => float priceRange = high - low float goldenTop = low + (priceRange * 0.618) float goldenBottom = low + (priceRange * 0.5) The golden zone represents optimal entry area with best risk:reward ratio. Entries in the golden zone allow tight stops below 50% with targets at swing high. 4. Institutional Level Tracking The indicator monitors key institutional reference levels: Weekly High/Low: float lastWeekHigh = request.security(syminfo.tickerid, "W", high , barmerge.gaps_off, barmerge.lookahead_off) float lastWeekLow = request.security(syminfo.tickerid, "W", low , barmerge.gaps_off, barmerge.lookahead_off) Daily High/Low: float yesterdayHigh = request.security(syminfo.tickerid, "D", high , barmerge.gaps_off, barmerge.lookahead_off) float yesterdayLow = request.security(syminfo.tickerid, "D", low , barmerge.gaps_off, barmerge.lookahead_off) These levels act as magnets for price because: Institutional algorithms reference these levels for order placement Retail traders watch these levels for breakouts/breakdowns Options and futures contracts often reference these levels Previous day/week ranges provide context for current price action 5. Premium/Discount Zone System Based on weekly range, the indicator calculates institutional bias zones: float weekRange = lastWeekHigh - lastWeekLow // Premium Zone (70-100% of range) - Institutional selling zone float premiumTop = lastWeekHigh float premiumBot = lastWeekLow + (weekRange * 0.7) // Discount Zone (0-30% of range) - Institutional buying zone float discountTop = lastWeekLow + (weekRange * 0.3) float discountBot = lastWeekLow // Golden Zone (50-61.8% of range) - Optimal entry zone float goldenTop = lastWeekLow + (weekRange * 0.618) float goldenBot = lastWeekLow + (weekRange * 0.5) Trading logic: In Discount Zone: Look for long entries - institutions are likely buying In Premium Zone: Look for short entries - institutions are likely selling In Golden Zone: Optimal risk:reward for entries in direction of trend Between Zones: Neutral area - wait for price to reach discount or premium This concept is based on institutional order flow: institutions buy in discount zones (value area) and sell in premium zones (overvalued area). 6. Multi-Timeframe Level Analysis The indicator tracks higher timeframe levels for additional confluence: float htfHigh = request.security(syminfo.tickerid, htfTimeframe, high , barmerge.gaps_off, barmerge.lookahead_off) float htfLow = request.security(syminfo.tickerid, htfTimeframe, low , barmerge.gaps_off, barmerge.lookahead_off) HTF timeframe is customizable (default: Daily). When current timeframe zones align with HTF levels, confluence increases zone strength. 7. Real-Time Position Assessment The indicator continuously assesses price position: // Check if in golden zone bool inGoldenZone = close >= goldenBottom and close <= goldenTop // Check if near resistance bool nearResistance = false for zone in resistanceZones if inZone(close, zone.price, thickness * 2) nearResistance := true // Check if near support bool nearSupport = false for zone in supportZones if inZone(close, zone.price, thickness * 2) nearSupport := true Position status: AT RESISTANCE: Price near strong resistance zone - consider shorts or exits AT SUPPORT: Price near strong support zone - consider longs or exits GOLDEN ZONE: Price in optimal entry area - look for entries in trend direction NEUTRAL: Price not near any significant zones - wait for better positioning Visual Elements Pressure Zone Lines: Horizontal lines showing resistance (red) and support (green) zones Zone Strength Boxes: Filled boxes showing only strongest zones (strength > 60%) with strength percentage Fibonacci Lines: Key Fibonacci levels (50% and 61.8%) with distinct colors Golden Zone Fill: Shaded area between 50% and 61.8% Fibonacci levels Institutional Lines: Weekly high/low (purple, thick) and Daily high/low (yellow, medium) HTF Lines: Higher timeframe high/low (cyan) for additional confluence Premium/Discount Fills: Shaded zones showing premium (red), discount (green), and golden (orange) areas Position Markers: Visual alerts when price enters golden zone or approaches strong zones Comprehensive Table: Dashboard showing top 2 resistance zones, top 2 support zones, institutional levels, Fibonacci levels, and current position status Input Parameters Pressure Zone Settings: Zone Detection Length: Period for swing range calculation (default: 50, range: 20-200) Pivot Length: Period for pivot detection (default: 10, range: 5-50) Max Zones: Maximum zones to display (default: 8, range: 4-20) Zone Thickness Percent: Zone width as percentage of price (default: 0.5%, range: 0.1-2.0%) Fibonacci Settings: Show Fibonacci Levels: Toggle Fib lines (default: enabled) Show Golden Zone: Toggle golden zone fill (default: enabled) Institutional Levels: Show Last Week High/Low: Toggle weekly levels (default: enabled) Show Yesterday High/Low: Toggle daily levels (default: enabled) Strength Scoring: Show Zone Strength: Toggle strength boxes (default: enabled) Volume Weight: Weight for volume component (default: 0.4, range: 0.0-1.0) Touch Weight: Weight for touch component (default: 0.3, range: 0.0-1.0) Age Weight: Weight for age component (default: 0.3, range: 0.0-1.0) Multi-Timeframe: HTF Timeframe: Higher timeframe for level tracking (default: Daily) Show HTF Levels: Toggle HTF lines (default: enabled) Colors: All colors are fully customizable including resistance, support, Fibonacci, golden zone, HTF levels, and institutional levels. How to Use This Indicator Step 1: Identify Strongest Zones Look at the table to see top 2 resistance and support zones with strength percentages. Focus on zones with strength > 70%. Step 2: Check Institutional Levels Monitor weekly and daily highs/lows. These act as magnets for price and often provide strong support/resistance. Step 3: Assess Premium/Discount Position Determine if price is in premium zone (look for shorts), discount zone (look for longs), or golden zone (optimal entries). Step 4: Look for Fibonacci Confluence When pressure zones align with Fibonacci levels (especially 50% and 61.8%), zone strength increases significantly. Step 5: Monitor Position Status Check the table's position row. "AT RESISTANCE" or "AT SUPPORT" signals potential reversal or bounce areas. Step 6: Wait for Zone Tests Don't chase price. Wait for price to return to strong zones before entering. The best entries occur when price tests a zone and shows rejection. Step 7: Use HTF Confluence When current timeframe zones align with HTF levels, probability of zone holding increases. Look for these high-confluence areas. Best Practices Use on 15-minute to 4-hour timeframes for optimal zone clarity Focus on zones with strength > 70% - these have highest probability of holding Multiple touches increase zone strength - zones that held before are likely to hold again Golden zone entries offer best risk:reward - tight stops with large targets Premium/discount zones work best in trending markets Weekly levels are stronger than daily levels - prioritize weekly when they conflict Wait for price to reach zones - don't anticipate, react Look for volume confirmation when zones are tested - high volume rejections are strongest Combine with price action - zones show where, price action shows when HTF confluence significantly increases zone strength - prioritize these areas Indicator Limitations Zones don't always hold - even strong zones can break during major news or trend changes Zone strength is relative to recent history - not absolute Pivot-based detection requires sufficient price history - may not work on newly listed instruments Maximum zone limits (8 default) mean some valid zones may not be displayed Zone thickness is a percentage - may be too wide or narrow for some instruments Premium/discount zones are relative to weekly range - not absolute value areas Fibonacci levels are based on recent swing - may not align with longer-term structure The indicator shows zones, not direction - requires trader interpretation Works best on liquid instruments with clear support/resistance behavior Zone strength scoring is a guide, not a guarantee - strong zones can still fail Technical Implementation Built with Pine Script v6 using: Custom type definition for PressureZone with strength tracking Array-based storage for resistance and support zones Pivot-based zone detection with confirmation Multi-component zone strength scoring Touch and volume tracking for each zone Fibonacci level calculations Golden zone identification Multi-timeframe security requests for institutional levels Premium/discount zone calculations based on weekly range Real-time position assessment Dynamic table with 13 rows showing all metrics Overlap prevention for visual clarity Automatic zone cleanup when maximum count is reached The code is fully open-source and can be modified to suit individual trading styles and preferences. Originality Statement This indicator is original in its comprehensive pressure zone analysis. While individual components (pivot-based S/R, Fibonacci, institutional levels) are established concepts, this indicator is justified because: It synthesizes five distinct zone analysis methodologies into a unified system Zone strength scoring combines volume, touches, and age with customizable weights Automatic zone management prevents clutter while highlighting strongest zones Integration of Fibonacci golden zone with pivot-based zones Premium/discount zone system based on institutional order flow concepts Multi-timeframe level tracking for confluence analysis Real-time position assessment provides actionable trading context Comprehensive table shows all metrics simultaneously for holistic analysis Overlap prevention ensures clean charts without sacrificing information Each component contributes unique zone intelligence: pivot zones show where price reversed, strength scoring shows zone quality, Fibonacci shows mathematical levels, institutional levels show reference points, premium/discount shows institutional bias, HTF levels show confluence, and position assessment shows current context. The indicator's value lies in presenting these complementary perspectives simultaneously with quantitative strength scoring and intelligent display management. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Pressure zone analysis is a tool for identifying potential support and resistance areas, not a crystal ball for predicting future price movement. Strong zones, high strength scores, and institutional levels do not guarantee profitable trades. Past zone behavior does not guarantee future zone behavior. Market conditions change, and strategies that worked historically may not work in the future. The zones and levels displayed are mathematical calculations based on current market data, not predictions of future price movement. High-strength zones can break, golden zone entries can fail, and institutional levels can be violated. Users must conduct their own analysis and risk assessment before making trading decisions. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades

por officialjackofalltrades

ZoneRadar by Chaitu50c ZoneRadar ZoneRadar is a tool designed to detect and visualize hidden buy or sell pressures in the market. Using a Z-Score based imbalance model, it identifies areas where buyers or sellers step in with strong momentum and highlights them as dynamic supply and demand zones. How It Works Z-Score Imbalance : Calculates statistical deviations in order flow (bull vs. bear pressure). Buy & Sell Triggers: Detects when imbalances cross predefined thresholds. Smart Zones: Marks potential buy (green) or sell (red) zones directly on your chart. Auto-Merge & Clean: Overlapping or noisy zones are automatically merged to keep the chart clean. History Control: Keeps only the most recent and strongest zones for focus. Key Features Customizable Z-Score level and lookback period Cooldown filter to avoid over-signaling Smart zone merging to prevent clutter Adjustable price tolerance for merging overlapping zones (ticks) Extend zones into the future with right extensions Fully customizable colors and display settings Alert conditions for Buy Pressure and Sell Pressure Why ZoneRadar? Simplifies complex order flow into clear, tradable zones Helps identify high-probability reversal or continuation levels Avoids noise by keeping only the cleanest zones Works across any timeframe or market (stocks, futures, forex, crypto) Disclaimer This tool is designed for educational and informational purposes only. It does not provide financial advice. Always test on demo and combine with your own trading strategy.

por chaitu50c

Wick Pressure by SiddWolf Multiple Wicks forming at OverSold & OverBought levels create Buying and Selling Pressure. This Script tries to capture the essence of the buy and sell pressure created by those wicks. Wick pressure shows that the trend is Exhausted. How it works: This Wick Pressure Indicator checks for three candles forming the wicks in overbought and oversold zones. The zones are set by RSI and can be changed in settings. Those three candles should form a bit long wick and length of the wick is determined by ATR. The ATR multiple can be changed from settings. And then the script draws a box in the area formed by three candle wicks. Confluence: This indicator should not be used on its own. You should include it in your existing trading strategy. Any indicator should be rigorously tested before making any real trades. Settings is the Key: Settings are key to all of my indicators. Play around with it a bit. Change the ATR multiplier. Read the tooltips to understand what each settings mean. Tooltips are the (i) button in-front of each settings. FAQs: Q. Does the indicator Repaint ? --- No. None of my indicators repaints. What you see now is what's drawn in real time. Q. Indicator doesn't show anything ? --- Maybe you've messed up the settings so reset it. or try different coin/stock. Q. Does this indicator give financial advice? --- No. Nope. Nein. Não. नहीं. Conclusion: This indicator is very basic but if used correctly it can be very powerful. Hit me up if you'd like to see the screener/scanner for this or any of my indicators. If you have any questions or suggestions feel free to comment below. I'd love to connect with you. Thank you. ~ SiddWolf

por SiddWolf