Rozpocznij

Histogram

MACD Advanced: Trend-Weighted MomentumMACD Advanced Overview MACD Advanced is a refined version of the classic Moving Average Convergence Divergence. While the standard MACD identifies changes in momentum, it often produces false signals in ranging markets or against a strong higher-timeframe trend. This script addresses that by "tilting" the MACD calculation based on the slope of a Higher Timeframe (HTF) Moving Average. How it Works The script integrates a Trend Bias Factor derived from the rate of change of a long-period EMA (default 200) from a user-defined timeframe. The Math: It calculates the ratio between the current HTF EMA and its value $n$ bars ago. This ratio is then used to offset the MACD line. Bullish Bias: If the HTF EMA is sloping upward, the MACD is shifted higher, making bearish crossovers harder to trigger and bullish ones more sensitive. Bearish Bias: If the HTF EMA is sloping downward, the MACD is dragged lower, prioritizing short-side momentum. Key Features MTF Integration: Analyze the daily trend while trading on the 5m or 15m chart. Dynamic Histogram: The visual fill between the MACD and its momentum provides a clear look at when momentum is accelerating or exhausting relative to the trend. Customizable Sensitivity: Adjust the lookback period for the trend slope to match your specific asset’s volatility. How to Trade Trend Confirmation: Look for the MACD line (the columns) to cross the zero line. This indicates that both short-term momentum and long-term trend are in alignment. Momentum Exhaustion: When the inner histogram (the fill) begins to shrink back toward the MACD columns, it suggests a potential pull-back or profit-taking zone. Divergences: Look for price making a new high while the MACD Advanced makes a lower high; the trend-weighting makes these divergences more prominent during trend exhaustion. Technical Approach Normalization of MTF Data: The script uses request.security with barmerge.gaps_off to ensure that higher timeframe data is mapped correctly to the current chart bars without creating visual "steps" or "staircases." The Delta Calculation: Instead of a simple boolean filter, we calculate a relative value r = EMA_ current/EMA_ lookback By adding r - 1 to the standard MACD calculation, we create a non-linear offset. This means the more aggressive the trend, the more the MACD is displaced. Visual Architecture: The script uses two plot outputs (g1 and g2) and a fill() function. This creates a "ribbon" effect that is more intuitive than the standard "centered" histogram, as it shows momentum relative to the trend-weighted line rather than a static zero axis. Since this version of the MACD is "weighted" by a higher-timeframe trend, it changes how you read common signals. On a standard chart, the MACD just shows momentum; here, it shows momentum relative to the "big picture" slope. Here is how to effectively use the MACD Advanced on a live chart: 1. Finding the "Trend-Momentum" Alignment The most powerful signal from this indicator occurs when the Trend Factor and the Momentum Histogram both agree. The Bullish Setup: Look for the MACD columns (the "base") to be above the zero line, while the inner fill (the "histogram") is bright green. Interpretation: The Daily trend is up, and the intraday momentum is also accelerating.The Bearish Setup: Look for the MACD columns to be below the zero line, while the inner fill is bright red. Interpretation: The Daily trend is down, and intraday selling pressure is increasing. 2. Reading the "Hidden" Divergence Because we’ve added a trend offset r-1, this indicator identifies "Trend Exhaustion" better than a standard MACD. Standard Divergence: Price makes a higher high, but MACD makes a lower high. Advanced Divergence: If the price makes a higher high, but the MACD Advanced is flat or lower, it means the Higher Timeframe EMA is losing its slope. Even if the price looks strong, the "Big Picture" is flattening out. This is often a precursor to a major reversal. 3. The "Snap-Back" Trade (Mean Reversion) Since you are using a 200 EMA as the trend filter, the indicator will naturally pull back toward zero when the price gets too far from that average. The Signal: If the MACD Advanced is "overextended" (very high or very low relative to its recent history) and the inner histogram crosses back toward the zero line, it’s a sign that the price is likely to "snap back" to the mean. Application: This is great for exiting a trend trade before the actual trend reversal happens. Pro Tip: The "Zero-Cross" Filter In a strong uptrend (Daily EMA 200 is rising), the MACD Advanced will rarely cross below zero. If you see the histogram dip into the red while the MACD columns stay green/above zero, treat that as a "Buy the Dip" opportunity rather than a "Sell" signal. The Chart shows regular MACD vs ADVANCED MACD one can easily observe the difference between them and the trend is identified easily.
Wskaźnik Pine Script®
od traderharikrishna
QQE Momentum Pulse Pro [identityKa]Overview The QQE Momentum Pulse Pro is a highly responsive sub-chart oscillator designed to measure the velocity and magnitude of directional price movements. Traditional Quantitative Qualitative Estimation (QQE) indicators suffer from severe signal lag due to triple-layered EMA smoothing. This script addresses that core flaw by introducing an optional "Zero-Lag Engine," swapping the standard exponential smoothing for a dynamic Hull Moving Average (HMA), effectively eliminating lag while preserving the indicator's mathematical robustness. Underlying Mathematics & Enhancements The foundation of the engine is built upon the Relative Strength Index (RSI). Volatility Trailing Bands: The script calculates the Absolute True Range of the smoothed RSI, which is then further smoothed using Wilder's methodologies. This creates dynamic fast and slow trailing bands that track the momentum. The Pulse Histogram: Instead of plotting multiple confusing lines on the chart, this script calculates the exact mathematical difference (spread) between the smoothed RSI and the dynamic trailing band. This spread is plotted as a zero-line oscillating histogram. Four-Color State Logic: The histogram's color intensity provides instant visual feedback regarding momentum acceleration. Bright Neon Green indicates rising positive momentum (acceleration), whereas Dark Green indicates positive but decaying momentum (deceleration). The same logic applies inversely for bearish trends with Bright/Dark Red. HUD Dashboard & AI Logic To prevent traders from getting trapped in exhausting trends, the integrated on-chart panel translates the histogram's state into a mechanical directive: LONG: Triggered when the histogram is positive (above the zero line) and its value is strictly greater than the previous bar (actively growing). SHORT: Triggered when the histogram is negative (below the zero line) and its value is strictly less than the previous bar (actively deepening). Dangerous: This is the crucial risk-management state. It is triggered the exact moment the histogram shifts from bright to dark colors. It indicates a mathematical divergence where the macro trend may still exist, but the immediate momentum driving it is rapidly fading. How to Use It This tool is best paired with a main-chart trend indicator (like a SuperTrend or Moving Average crossover). Traders should look to execute LONG or SHORT entries when the Pulse Histogram crosses the zero line and the AI Suggestion aligns with their directional bias. If the AI Suggestion switches to "Dangerous", traders should consider scaling out of active positions, tightening stop-losses, or avoiding taking new trend-continuation entries, as a pullback or consolidation phase is statistically imminent.
Wskaźnik Pine Script®
od IdentityKa
Viprasol Volatility Channel Oscillator## Overview The Volatility Channel Oscillator (VCO) measures where the current close sits within a dynamic volatility channel, producing a bounded oscillator (-100 to +100) with a signal SMA, momentum histogram, divergence detection, squeeze detection, and multiple crossover signal modes. It combines volatility-normalized price positioning with momentum analysis to identify overbought/oversold conditions, divergence setups, and potential breakout opportunities from low-volatility squeezes. ## How It Works **Channel Construction:** The volatility channel is built from three components: (1) a Simple Moving Average of the candle midpoint `(high + low) / 2` over the user-defined period (default 30), (2) the average candle range `SMA(high - low, period)`, and (3) the average candle body `SMA(|close - open|, period)`. The channel offset is calculated as: `offset = avg_range * (band_scale / 100) * (1 + avg_body / avg_range)`. This means the channel widens when candles have larger bodies relative to their wicks, adapting to market character. Upper and lower bands are `midpoint_SMA +/- offset`. **Oscillator Calculation:** The raw oscillator normalizes the close position within the channel: `raw = 100 * (close - lower) / (upper - lower) - 50`. This produces values centered on 0, where +50 means close is at the upper band and -50 means close is at the lower band. Values are clamped to the -100 to +100 range. **Signal SMA:** A Simple Moving Average of the oscillator (default 20 periods) acts as a smoothed reference. Crossovers between the oscillator and this signal, or between the signal and zero, generate trading signals. **Momentum Histogram:** The difference between the raw oscillator and its signal SMA is plotted as color-coded columns. Four colors indicate momentum direction: growing bullish (positive and increasing), fading bullish (positive but decreasing), growing bearish (negative and decreasing), and fading bearish (negative but increasing). **Squeeze Detection:** The channel bandwidth is measured as a percentage of the midpoint SMA. When this bandwidth falls below its own N-period SMA (default 50 bars) multiplied by a threshold factor (default 0.8), a squeeze condition is flagged with diamond markers on the zero line. **Divergence Engine:** The indicator detects regular divergences by comparing pivot highs/lows on price against pivot highs/lows on the oscillator. A bullish divergence occurs when price makes a lower low but the oscillator makes a higher low. A bearish divergence occurs when price makes a higher high but the oscillator makes a lower high. **Signal Confluence Filter:** When enabled, OB/OS crossover signals only fire if a divergence was detected within the last 10 bars, filtering for higher-probability setups. **Signal Cooldown:** A configurable minimum bar gap (default 5 bars) between consecutive signals of the same direction prevents rapid-fire noise in choppy markets. **Zone Classification:** The oscillator is classified into five zones: Strong Bull (above OB), Weak Bull (0 to OB), Neutral (0), Weak Bear (OS to 0), and Strong Bear (below OS). Each zone has a distinct color displayed in the dashboard and optionally as background shading. ## Key Features - **Bounded Oscillator (-100 to +100)** — normalized close position within a volatility-adaptive channel - **Signal SMA** — smoothed reference line for crossover and momentum analysis - **Momentum Histogram** — oscillator minus signal with 4-color directional coding - **Squeeze Detection** — bandwidth contraction flagging potential breakout conditions - **Divergence Detection** — regular bullish/bearish divergences between price and oscillator - **Signal Confluence Filter** — combine OB/OS crossovers with divergence for higher-quality setups - **Signal Cooldown** — configurable minimum bar gap between same-direction signals - **Zone Classification** — 5-level trend strength meter (Strong Bull to Strong Bear) - **3 Signal Modes** — OB/OS crossover, zero line cross, MA zero line cross (or All) - **5-Layer Gradient Fill** — smooth visual fade from oscillator to zero line - **Zone Background Shading** — subtle pane coloring based on active zone - **Info Dashboard** — oscillator, signal, histogram, zone, squeeze, divergence status - **Dynamic v6 Alerts** — ticker, price, osc value, zone, and squeeze in every message - **11 Alert Conditions** — divergences, crosses, squeeze, aggregate signals ## How to Use 1. **Apply to any liquid instrument** — works on crypto, forex, indices, stocks 2. **Oscillator above 0 = bullish bias**, below 0 = bearish bias 3. **Watch for OB/OS crossovers** — oscillator crossing back from extreme zones signals potential reversals 4. **Monitor divergences** — "Bull" and "Bear" labels highlight price/oscillator disagreements 5. **Enable confluence filter** for higher-probability OB/OS signals (requires divergence confirmation) 6. **Squeeze diamonds** on the zero line warn of low-volatility coiling before potential breakouts 7. **Histogram direction** reveals momentum shifts before oscillator crosses zero 8. **Dashboard** gives a quick summary of all conditions at a glance **Recommended Settings:** - Scalping (1m-5m): SMA Length 15-20, Signal 10, Cooldown 3 - Day Trading (5m-15m): Default settings (SMA 30, Signal 20, Cooldown 5) - Swing Trading (1H-4H): SMA Length 40-60, Signal 30, Cooldown 8 ## Settings | Group | Description | |---|---| | Oscillator Settings | SMA length, band scaling, signal SMA period | | Threshold Levels | Overbought/oversold and MA overbought/oversold thresholds | | Divergence Detection | Pivot length, enable/disable | | Signal Settings | Signal type mode, confluence filter, cooldown bars | | Squeeze Detection | Enable, lookback period, threshold multiplier | | Momentum Histogram | Show/hide, 4 directional colors | | Dashboard | Position, size, visibility | | Gradient Settings | Toggle and transparency for each gradient layer | | Style | Oscillator, signal, divergence, zone, and label colors | ## Alerts **Dynamic Alerts (v6):** - Bullish/Bearish signal with osc value, zone, ticker, price, squeeze status - Squeeze started with bandwidth percentage **Static Alert Conditions:** - Bullish Divergence / Bearish Divergence - Buy/Sell Signal (OB/OS) — with cooldown applied - Buy/Sell Signal (Zero Line) - Buy/Sell Signal (MA Zero Line) - Squeeze Started - Any Bullish Signal / Any Bearish Signal ## Limitations & Disclaimer - This is an analytical oscillator, not a trading system. Always use proper risk management. - The oscillator is derived from a volatility channel — during extremely low-volatility periods, small price moves can cause large oscillator swings. - Squeeze detection identifies bandwidth contraction but does not predict breakout direction. - Divergence detection uses historical pivots and is plotted with an offset — it is confirmatory, not predictive. - Best used on liquid markets with consistent volume data. - Past signal patterns do not guarantee future results. . Significantly enhanced with momentum histogram, squeeze detection, signal confluence filter, signal cooldown, zone classification, dashboard, dynamic v6 alerts, and zone background shading under Viprasol branding.
Wskaźnik Pine Script®
od viprasol
Viprasol Fibonacci Volume Profile Map## Overview The Fibonacci Volume Profile Map combines automatic Fibonacci retracement levels with a buy/sell volume profile histogram, Value Area detection, and Point of Control (POC) — all in one clean overlay. It identifies the price range over a configurable lookback, maps Fibonacci levels across it, and shows where volume actually concentrated within that range. This gives traders both structural (Fibonacci) and volume-based (profile) support and resistance in a single view. Built for traders who want to see where price *should* react (Fibonacci) alongside where it *has* reacted (volume). ## How It Works **Auto Fibonacci:** The indicator detects the highest high and lowest low over the lookback period, then automatically plots 11 Fibonacci levels including extensions (-0.13, 0.0, 0.13, 0.236, 0.382, 0.5, 0.618, 0.786, 0.886, 1.0, 1.13). Key levels (0.0 and 1.0) are drawn with thicker lines. Each level includes a price label with the ratio. **Volume Profile:** The price range is divided into configurable buckets, and volume is distributed into each bucket based on closing price. Buy volume (close >= open) and sell volume (close < open) are shown as separate colored boxes, creating a visual histogram on the right side of the chart. The bucket with the highest total volume is highlighted as the Point of Control (POC). **Value Area (70%):** Starting from the POC, the indicator expands outward bucket by bucket (always adding the higher-volume adjacent bucket first) until 70% of total volume is captured. The resulting Value Area High (VAH) and Value Area Low (VAL) lines mark the price zone where most trading activity occurred. **Dashboard:** A comprehensive info table shows candle count, buy/sell rate percentages, volume delta, largest buy/sell prices, Fibonacci-derived support/resistance, trend direction, price estimate, POC zone status, and Value Area location. ## Key Features - Auto Fibonacci with 11 levels including extensions (-0.13, 1.13) - Buy/sell split volume profile histogram with configurable buckets and width - Point of Control (POC) line — highest volume price level - Value Area High/Low lines (70% volume concentration) - Dashed range bounding box - Flippable profile (left or right side) - Dashboard with volume stats, trend, support/resistance, delta, POC zone, and Value Area status - Configurable dashboard position (9 positions) and font size - Custom bull/bear candle colors - Custom buy/sell volume colors and dominant level color - All visual elements individually toggleable - 5 alert conditions with dynamic messages ## How to Use **Reading the Chart:** - **Fibonacci lines** show structural levels where reversals commonly occur - **Volume profile** shows where actual trading volume concentrated — thick bars = strong support/resistance - **POC (red dashed)** = single most traded price level — acts as a magnet - **VAH/VAL (yellow dotted)** = boundaries of the value area — breakouts from this zone often lead to directional moves - **Green highlighted bucket** = POC level in the profile **Trading Ideas:** - Price approaching a Fibonacci level that aligns with high volume = strong S/R confluence - Price inside the Value Area = range-bound; outside = trending - POC acts as fair value — price tends to return to it - Volume dominance flip (buy -> sell or vice versa) can signal trend changes **Recommended Settings:** - Scalping (1m-5m): Lookback 30, Buckets 30 - Intraday (15m-1H): Lookback 60, Buckets 50 - Swing (4H-1D): Lookback 120, Buckets 50 ## Settings **Range Settings:** Lookback period for the price range analysis. **Volume Profile:** Bucket count, max width, right offset, flip side, Value Area toggle. **Fibonacci:** Show/hide levels, extend to right, label padding. **Visuals:** Range box, profile, POC line, candle coloring, all color customizations. **Dashboard:** Show/hide, position (9 options), font size. ## Alerts 1. **Price at Fib 0.618** — Price crosses the key 0.618 retracement level 2. **Price at Fib 0.382** — Price crosses the 0.382 retracement level 3. **Price at Fib 0.5 (Midpoint)** — Price crosses the range midpoint 4. **Volume Dominance Flip** — Buy/sell volume dominance switches 5. **Price at Range Boundary** — Price reaches the range high or low All alerts include {{ticker}}, {{close}}, and {{interval}} for dynamic notification messages. ## Limitations & Disclaimer - Volume profile uses close-based bucket assignment — this is an approximation compared to tick-level volume profiling - Buy/sell classification is based on candle direction (close >= open = buy), not actual order flow data - The indicator redraws its visuals on the last bar as new data comes in — historical display is static - Fibonacci levels are mathematical ratios, not guaranteed support/resistance — they work best with volume confluence - Value Area calculation uses a simplified expanding method from POC - This indicator is for educational and analytical purposes only — it is not financial advice. Always use proper risk management. --- *Based on the Wraith Protocol concept. Upgraded to Pine Script v6 and significantly enhanced with Value Area detection (VAH/VAL), volume delta, enhanced dashboard with POC zone status, configurable font sizes, 5 alert conditions, tooltips on all inputs, and complete code restructuring by Viprasol.* viprasol.com
Wskaźnik Pine Script®
od viprasol
Dynamic Volume Histogram [DVH]Dynamic Volume Histogram is a clean and intuitive volume visualization tool designed for swing traders who want deeper insight into market participation and volume behavior at a glance. Unlike the standard volume indicator, DVH color-codes each bar based on both candle direction AND volume intensity — giving you an immediate visual read on whether a move is backed by conviction or just noise. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔍 HOW IT WORKS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Each volume bar is colored across 4 distinct conditions: ✅ Bullish candle + Normal volume → Green (regular buying pressure) 🔵 Bullish candle + 10M+ volume → Blue (high conviction buying) 🔴 Bearish candle + Normal volume → Red (regular selling pressure) ⚫ Bearish candle + 10M+ volume → Black (high conviction selling) A moving average line is overlaid on the histogram to help you quickly identify whether current volume is above or below its recent average — a key signal for swing trade confirmation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 KEY FEATURES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • 4 fully customizable bar colors — adjust to your chart theme • Configurable high-volume threshold (default: 10 million) • Smart labels on high-volume bars showing exact volume value • Average volume line with adjustable period (default: 20) • Clean and lightweight — no repainting, no complex math ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Blue bars on breakout candles → strong institutional buying, potential swing long opportunity • Black bars on breakdown candles → aggressive selling pressure, watch for continuation or reversal confirmation • Bars consistently below the average line → low participation, avoid chasing moves • Spike in volume (color shift) after consolidation → possible trend initiation, ideal swing entry zone ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • High Volume Threshold — default 10,000,000 (adjustable) • Average Volume Length — default 20 periods • Show Average Line — toggle on/off • Bar Colors — 4 independent color pickers ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator works best on daily and weekly timeframes for swing trading setups. Combine with support/resistance levels or price action signals for highest accuracy. No repainting. No nonsense. Just clean volume context.
Wskaźnik Pine Script®
od raajanganesh
Chaikin Money Flow with Shaded BackgoundThis script is a modernized version of Chaikin Money Flow with time‑horizon presets, Histogram Mode, and Regime Background Shading. Preset Modes Daily – Standard (20): Classic CMF(20), ideal for swing trading. **Weekly – Short (5): Time‑scaled equivalent of CMF(20) for weekly charts. Monthly – Smooth (10): Long‑cycle accumulation/distribution smoothing. Manual: Full control over CMF length. These presets are designed to maintain **consistent time‑horizon behavior** across different chart timeframes. Line: Traditional CMF line. Histogram: Momentum‑style histogram. Hybrid: Line + histogram. CMF‑SMA Mode: Histogram shows CMF minus its SMA. CMF Change Mode: Histogram shows bar‑to‑bar CMF acceleration. Note: When using Histogram Mode, switch the Histogram Type input between CMF‑SMA and CMF Change depending on the style you want. Green: CMF > 0 (Accumulation) Red: CMF < 0 (Distribution) This provides a clean, structural read of market pressure without cluttering the chart.
Wskaźnik Pine Script®
od followmytradingjournal
Gaussian Volume Profile [LuxAlgo]The Gaussian Volume Profile indicator is a sophisticated volume analysis tool that uses the Levenberg-Marquardt optimization algorithm to fit a Sum of Gaussians model to historical volume distribution. This approach transcends traditional discrete volume profiles by providing a continuous, noise-reduced representation of liquidity clusters, allowing for the precise identification of high-volume nodes and their respective price boundaries. 🔶 USAGE The indicator projects a lateral volume density map to the right of the current price action. Users can utilize this tool to identify "fair value" zones where the Gaussian peaks are most concentrated. Unlike standard profiles that show jagged horizontal bars, this tool provides a smooth "fit" line that highlights the true center of gravity for volume at specific price levels. 🔹 Identifying High-Volume Nodes The script automatically detects local maxima (peaks) within the fitted Gaussian model. These peaks represent the most significant price levels where the highest density of trading occurred. Horizontal dashed lines are drawn at these apexes, color-coded to match the specific Gaussian component that is most dominant at that price. 🔹 Zone Width and Volatility By observing the width (standard deviation) of the individual Gaussian components (the dotted curves), traders can gauge the "breadth" of a value area. A narrow, sharp peak suggests a very specific price level of agreement, while a wide, shallow curve indicates a broad range where volume was distributed less precisely. 🔶 DETAILS This tool represents a scientific advancement over regular Volume Profiles by applying a Gaussian Density model to market data: Noise Reduction: Discrete profiles are often "noisy," with small volume gaps between price ticks. The Sum of Gaussians model acts as a sophisticated filter, smoothing out insignificant variances to reveal the underlying structural liquidity. Levenberg-Marquardt Optimization: The script utilizes the LM algorithm, a standard in non-linear least squares problems, to iteratively refine the fit of multiple Gaussian pulses. This ensures the model converges on the most mathematically accurate representation of the volume data. Precise Liquidity Centers: While a standard profile bin might be several ticks wide, the Gaussian apex provides a mathematically derived "center" ($\mu$) for liquidity, often offering more precise support and resistance levels. Continuous Distribution: Because it models volume as a continuous function, it can estimate volume density between discrete price bins, providing a more fluid view of market interest. The visual output combines a lateral histogram with a bold Gaussian density curve, color-coded components, and auto-detected peak levels for a comprehensive view of institutional interest. 🔶 SETTINGS 🔹 Profile Settings Lookback Window: The number of historical bars used to calculate the volume profile distribution. Number of Bins: Determines the vertical resolution of the profile. More bins provide more detail but require more computation. 🔹 Gaussian Settings Max Potential Peaks: The maximum number of Gaussian components (nodes) the algorithm will attempt to fit to the data. Max Iterations: Controls how many times the LM optimizer refines the fit. Higher values improve accuracy but may impact performance. Initial Lambda: The damping factor for the optimization algorithm, affecting the early steps of the fitting process. 🔹 Visuals Histogram Resolution: The maximum horizontal length of the projected histogram and fit line, measured in bar widths. Highlight Window Range: Toggles a visual background box covering the historical lookback area for context. Highlight Detected Peaks: Detects local maxima in the final fit and draws horizontal dashed levels at those price points. Fit Color: Sets the static color for the main density curve. Auto: When enabled, the fit color automatically adapts to your chart's foreground color (e.g., white on dark backgrounds).
Wskaźnik Pine Script®
od LuxAlgo
1
Extended Sentiment Pressure Oscillator (ESP)Extended Sentiment Pressure Oscillator (ESP) The ESP is a multi-purpose trend and bias oscillator designed to visualize who is in control: buyers or sellers. It measures the balance between upward and downward pressure inside each candle and across a lookback window, then converts that information into an easy-to-read visual signal. Unlike classic oscillators that only look at close prices, ESP evaluates price structure (High–Low–Open–Close), range behavior, and multiple normalization methods. This makes it adaptable to many markets—from fast crypto scalping to slower swing trading on stocks, forex, commodities... What makes ESP different? _______________________ Most oscillators give you a single line. ESP gives you a full pressure model: * Uptrend line – how strong buyers are * Downtrend line – how strong sellers are * Net Pressure (Bias) – the real battle result * Optional histogram and signals You can view it in: * Classic 0–100 mode (Average Sentiment Oscillator style) * Expanded centered mode (-50…+50) for intuitive bullish/bearish reading ESP is not “another RSI”. It focuses on market pressure and imbalance, not overbought/oversold. Core Features ____________ Multi-Normalization Engine - Choose how pressure is measured: * Bar Range – immediate candle structure * Window Range – broader context * Mix – blend of both, averaged. * Hybrid - pure blend of Bar- & Window Range, not averaged. * (Average) True Range (TR / ATR) – volatility-aware modes Adaptive Smoothing: Select your preferred MA type: SMA, EMA, HMA, SMMA (RMA), WMA, VWMA Sensitivity Control - A unique ESP Sensitivity knob lets you: * Reduce noise (<1.0) * Amplify reactions (>1.0) * or stay neutral (1.0) Signal Logic - Two modes: * ZeroCross – classic bias crossing * MomentumShift – early detection using consecutive rises/falls and slope strength Visual Tools: * Tricolor Net Pressure line * Bias histogram * Optional UP/DOWN flags * Focus mode to highlight the most important signal How to Use ESP (Practical Use Cases) ? ________________________________ 1) Trend Confirmation Use ESP as a trend filter for your main strategy: * Net Pressure above 0 → bullish environment * Net Pressure below 0 → bearish environment * Rising Net Pressure → momentum building Great companion to combine with: * Price Action * Other indicators like * Crossing EMA's * MACD * VWAP * RSI * ... * Breakout systems * ... 2) Early Momentum Detection With MomentumShift mode, ESP can react before a zero cross: * Two or more consecutive rises = early bullish shift * Two or more consecutive falls = early bearish shift * Optional minimum slope filters weak moves Ideal for: * Scalping pullbacks * Exit timing * Avoiding late entries 3) Regime & Strength Analysis by combining: * Up/Down lines * Net Pressure * Histogram This lets you read: * Strong trends * Weak consolidations * Momentum exhaustion * Diverging pressure vs price Who is this for? _____________ Anyone can use this indicator at will, while this could prove an extra aid especially for: * Discretionary traders needing clear bias visualization * Traders looking for a robust gate/filter aid * Multi-asset traders (crypto, stocks, forex, commodities,...) Important Notes ______________ ESP is an indicator or technical analytical tool, not a trading system Works best combined with price action and risk management Past performance ≠ future results Signals provided should not be used solely to make any trading decisions Trading always involves risk To conclude, ESP or Extended Sentiment Pressure oscillator can help you understand the pressure behind the candles, making decisions clearer based on structure rather than on noise.
Wskaźnik Pine Script®
od PJooris1408
2
Gamma Hedging Pressure Gamma Hedging Pressure (Proxy) – Market Maker Gamma Exposure Estimator This open-source, non-overlay indicator provides a **proxy** for dealer/market-maker gamma hedging pressure using only standard OHLCV data — no options chain or implied volatility required. Core Concept In options markets, gamma measures how much delta changes with price movement. When dealers are **net short gamma** (negative gamma), they must hedge aggressively in the direction of the move → this amplifies trends and breakouts. When **net long gamma** (positive gamma), they hedge against the move → this creates mean-reversion and pinning behavior. Because true gamma exposure is hidden (dealer books are private), this script estimates hedging pressure indirectly by combining: - Volatility expansion (normalized range) - Price acceleration (second derivative) - Abnormal volume participation High positive values → likely negative gamma regime (trend acceleration) High negative values → likely positive gamma regime (reversion pressure) Near zero → neutral/chop Why this proxy is useful True gamma dashboards require Level 2 options data and are often delayed or paid. This lightweight version: - Works on any instrument with volume (stocks, futures, forex proxies, crypto) - Updates in real time - Helps traders anticipate whether the current move is likely to accelerate (negative gamma) or fade (positive gamma) - Useful as a regime filter alongside support/resistance, order flow, or momentum tools How It Works – Step by Step 1. Volatility Expansion - Normalized range = (high - low) / ATR(14) 2. Price Acceleration - First difference: close - close - Second difference (acceleration): diff - diff 3. Volume Participation - Normalized volume = volume / SMA(volume, 20) 4. Raw Pressure - rawPressure = normalized range × acceleration × normalized volume 5. Smoothed Gamma Pressure - gammaPressure = EMA(rawPressure, 5) // short smoothing for responsiveness 6. Optional Daily Reset - If enabled, resets to 0 at the start of each new day (useful for intraday) 7. Regime Classification - Negative Gamma (red): gammaPressure > +threshold (default 0.5) → trend/breakout likely - Positive Gamma (green): gammaPressure < -threshold → mean-reversion likely - Neutral (gray): within ±threshold → chop/consolidation Visual Output - Histogram: colored by regime (red = negative gamma / trend accel, green = positive gamma / reversion, gray = neutral) - Zero line reference - Background tint: red/green during strong regimes - Last-bar label: "NEGATIVE GAMMA – Trend / Breakout", "POSITIVE GAMMA – Mean Reversion", or "NEUTRAL" How to Use - Best on intraday timeframes (5m–1h) for futures (NQ, ES, GC), indices, or high-volume stocks - Daily/4h for swing context on liquid names - Interpretation examples: → Red histogram + rising pressure → dealers likely short gamma → expect trend continuation or acceleration → Green histogram + falling pressure → dealers long gamma → expect fading moves, pinning near strikes, or reversion → Gray/neutral → low gamma pressure → range-bound or low-conviction market - Combine with: - Key levels (VWAP, previous highs/lows) - Volume profile or order flow - Options-related news (expiration days, gamma flips) - Threshold tuning: 0.3–0.8 depending on instrument volatility (lower for crypto, higher for forex) Inputs - ATR Length: default 14 - Volume MA Length: default 20 - Gamma Threshold: default 0.5 (sensitivity for regime coloring) - Reset on New Session: true = daily reset (recommended for intraday) Publishing Recommendation - Publish with a clean chart (e.g., 15m–1h NQ1!, ES1!, or SPY) - Show a trending period (red histogram) and a ranging/consolidation period (green/gray) - No extra indicators/drawings needed for basic interpretation This is an **educational proxy** — not a direct measure of actual dealer gamma. It approximates pressure from observable market behavior. Trading involves significant risk of loss. Use discretion and proper risk management. Feedback welcome — especially threshold or smoothing suggestions for different markets!
Wskaźnik Pine Script®
od uzair2join
Rhokeo-VW-RSI Histogram for Cumulative Delta by ZeiirmanRhokeo-VW-RSI Histogram: Volume-Weighted Momentum (use with Cumulative Delta from Zeiierman) Note that Cumulative Delta is a paid indicator. Overview: The Rhokeo-VW-RSI Histogram is a momentum oscillator designed to filter out market noise by integrating volume directly into the RSI calculation. Unlike a standard RSI, which only considers price change, this indicator weights those changes by the volume occurring at the time. It creates a momentum profile in the form of a Histogram. If the price moves on high volume, the indicator reflects that strong market interest through its volume-weighted gain and loss calculations. It is particularly effective as a complementary filter for “Cumulative Delta” from Zeiierman to confirm the strength behind a move before you enter a trade. How It Works The indicator operates on a normalized scale of -1.0 to +1.0 for easier visual interpretation and compatibility with Cumulative Delta indicator: • The Volume-Weighted Core: Gains and losses are calculated by multiplying the price change by volume to ensure the "Relative Strength" reflects true capital flow. • Smoothing for Clarity: The raw Volume Weighted RSI (VW-RSI) is processed through a customizable Moving Average—such as SMA, EMA, SMMA, WMA, or VWMA—to produce the smooth histogram. • Four-Zone Coloring System: The histogram changes color dynamically based on momentum intensity: o Strong Bull: Price is trending up with high-volume conviction. o Weak Bull: Positive momentum, but not yet overextended. o Weak Bear: Negative momentum starting to build. o Strong Bear: Heavy selling pressure with high-volume conviction. Key Features • Shading: The background features optional red and green shading in the "Extreme" zones to warn traders of potential exhaustion areas. • Dynamic Zero Line: The center line flips color between Green and Red based on whether the VW-RSI is positive or negative. • Customization: Traders can adjust the smoothing length, source price, and the specific levels for overbought/oversold zones. Best Use Case for New Traders: New traders often get "faked out" by price spikes that have no volume behind them. This indicator helps confirm and time better entries: 1. Wait for your Cumulative Delta indicator to give a signal. 2. Check the VW-RSI Histogram and whether it confirms or not. 3. Long Entry: Only enter if the histogram is positive and rising (above 0). 4. Short Entry: Only enter if the histogram is negative and decreasing (below 0). ________________________________________ Disclaimer Financial Risk: • Trading involves significant risk, and most traders lose money. • This indicator is a tool for technical analysis and does not constitute financial, investment, or trading advice. • Past performance is not indicative of future results; never trade with money you cannot afford to lose. Usage & Reliability: • The Rhokeo-VW-RSI Histogram is provided "as-is" for educational and informational purposes only. • While volume-weighting aims to filter market noise, no indicator can guarantee 100% accuracy or predict future market movements with certainty. • This script is intended to be a complementary tool that works well with other indicators in this case the Cumulative Delta from Zeiirman; it should be used in conjunction with other forms of analysis, risk management, and your own due diligence. Commercial Notice: • If you are using this alongside a third-party paid indicator, please note that I am not responsible for the performance or support of external products. • Users are responsible for their own trade execution and account management.
Wskaźnik Pine Script®
od nabil007
[COG] Platypus Platypus Overview Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts. The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum. Key Features ✅ Volume Momentum Calculation Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods Quiet Market Filtering: Reduces noise during low-activity periods Spike Detection: Identifies abnormal volume surges with boosted weighting Momentum Smoothing: EMA-based smoothing prevents erratic signals ✅ Entry Pattern Detection 3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells) State Management: Prevents consecutive signals in same direction without reset Background Confirmation: Must align with bullish/bearish market state EMA Alignment Filter: Ensures trend structure supports the trade direction ✅ Multi-Timeframe Filtering System HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint) HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries) Dual-Filter Capability: Use both filters for maximum precision ✅ Dashboard Real-time Status Monitoring: Volume trend, background state, EMA order, trade state Filter Status Display: Shows HTF filter conditions and signal permission Pattern Detection: Indicates when 3-bar entry pattern is forming ✅ On-Chart Integration 50/100/200 EMAs: Automatically plotted on price chart with customizable colors Visual Entry Markers: Triangle signals appear on price chart at entry points Signal Alerts: Built-in alert conditions for all signal types 📚 Core Settings Explained signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings") Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react. volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings") Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions. priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings") Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background. Advanced Settings momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced") Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility. momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced") Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag. quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced") Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves. volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
Wskaźnik Pine Script®
od CognitiveAlpha
2
Nova Capital MACDNova Capital MACD is a momentum oscillator based on the classic MACD calculation, enhanced with a clean 4-state histogram and optional signal labels. Core calculation: MACD Line = Fast MA − Slow MA Signal Line = MA(MACD Line, Signal Length) Histogram = MACD Line − Signal Line Features in this version: 4-state histogram coloring (positive/negative + rising/falling) to visualize momentum changes more clearly. Optional confirmed-bar behavior (signals trigger only on closed bars). Optional zero-line directional filter: Long labels only when MACD is below 0. Short labels only when MACD is above 0. Built-in alert conditions for Long/Short events. How to use: Watch histogram state changes for momentum transitions. A Long label appears on MACD crossing above the Signal line (optionally below 0). A Short label appears on MACD crossing below the Signal line (optionally above 0). Note: This indicator is not a complete trading system. Use risk management and confirm signals with market context.
Wskaźnik Pine Script®
od novacapitalvip
Smart RSI Composite [DotGain]Summary Do you want to know the "True Direction" of the market without getting distracted by noise on a single timeframe? The Smart RSI Composite simplifies market analysis by aggregating momentum data from 10 different timeframes (5m to 12M) into a single, easy-to-read Histogram. Instead of looking at 10 separate charts or dots, this indicator calculates the Average RSI of the entire market structure. It answers one simple question: "Is the market predominantly Bullish or Bearish right now?" ⚙️ Core Components and Logic This indicator works like a consensus mechanism for momentum: Data Aggregation: It pulls RSI values from 10 customizable slots (Default: 5m, 15m, 1h, 4h, 1D, 1W, 1M, 3M, 6M, 12M). All slots are enabled by default. Smart Averaging: It calculates the arithmetic mean of all active timeframes. If the 5m chart is bearish but the Monthly chart is bullish, this indicator balances them out to show you the net result. Histogram Visualization: The result is plotted as a histogram centered around the 50-line (Neutral). 🚦 How to Read the Histogram The histogram bars indicate the aggregate strength of the trend based on the Average RSI: 🟩 DARK GREEN (Strong Bullish) Condition: Average RSI > 60. Meaning: The market is in a strong uptrend across most timeframes. Momentum is firmly on the buyers' side. 🟢 LIGHT GREEN (Weak Bullish) Condition: Average RSI between 50 and 60. Meaning: Slight bullish bias. The bulls are in control, but momentum is not yet extreme. 🔴 LIGHT RED (Weak Bearish) Condition: Average RSI between 40 and 50. Meaning: Slight bearish bias. The bears are taking control. 🟥 DARK RED (Strong Bearish) Condition: Average RSI < 40. Meaning: The market is in a strong downtrend across most timeframes. Momentum is firmly on the sellers' side. Visual Elements Center Line (50): This acts as the Zero-Line. Above 50 is bullish, below 50 is bearish. Zone Lines (30/70): Dashed lines indicate the traditional Overbought/Oversold levels applied to the aggregate average. Key Benefit The Smart RSI Composite acts as a powerful Macro Trend Filter . Pro Tip: Never go long if the Histogram is Dark Red, and avoid shorting when it is Dark Green. Use this tool to align your trades with the overall market momentum. Have fun :) Disclaimer This "Smart RSI Composite" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Wskaźnik Pine Script®
od DotGain
Volume Surprise [LuxAlgo]The Volume Surprise tool displays the trading volume alongside the expected volume at that time, allowing users to spot unexpected trading activity on the chart easily. The tool includes an extrapolation of the estimated volume for future periods, allowing forecasting future trading activity. 🔶 USAGE We define Volume Surprise as a situation where the actual trading volume deviates significantly from its expected value at a given time. Being able to determine if trading activity is higher or lower than expected allows us to precisely gauge the interest of market participants in specific trends. A histogram constructed from the difference between the volume and expected volume is provided to easily highlight the difference between the two and may be used as a standalone. The tool can also help quantify the impact of specific market events, such as news about an instrument. For example, an important announcement leading to volume below expectations might be a sign of market participants underestimating the impact of the announcement. Like in the example above, it is possible to observe cases where the volume significantly differs from the expected one, which might be interpreted as an anomaly leading to a correction. 🔹 Detecting Rare Trading Activity Expected volume is defined as the mean (or median if we want to limit the impact of outliers) of the volume grouped at a specific point in time. This value depends on grouping volume based on periods, which can be user-defined. However, it is possible to adjust the indicator to overestimate/underestimate expected volume, allowing for highlighting excessively high or low volume at specific times. In order to do this, select "Percentiles" as the summary method, and change the percentiles value to a value that is close to 100 (overestimate expected volume) or to 0 (underestimate expected volume). In the example above, we are only interested in detecting volume that is excessively high, we use the 95th percentile to do so, effectively highlighting when volume is higher than 95% of the volumes recorded at that time. 🔶 DETAILS 🔹 Choosing the Right Periods Our expected volume value depends on grouping volume based on periods, which can be user-defined. For example, if only the hourly period is selected, volumes are grouped by their respective hours. As such, to get the expected volume for the hour 7 PM, we collect and group the historical volumes that occurred at 7 PM and average them to get our expected value at that time. Users are not limited to selecting a single period, and can group volume using a combination of all the available periods. Do note that when on lower timeframes, only having higher periods will lead to less precise expected values. Enabling periods that are too low might prevent grouping. Finally, enabling a lot of periods will, on the other hand, lead to a lot of groups, preventing the ability to get effective expected values. In order to avoid changing periods by navigating across multiple timeframes, an "Auto Selection" setting is provided. 🔹 Group Length The length setting allows controlling the maximum size of a volume group. Using higher lengths will provide an expected value on more historical data, further highlighting recurring patterns. 🔹 Recommended Assets Obtaining the expected volume for a specific period (time of the day, day of the week, quarter, etc) is most effective when on assets showing higher signs of periodicity in their trading activity. This is visible on stocks, futures, and forex pairs, which tend to have a defined, recognizable interval with usually higher trading activity. Assets such as cryptocurrencies will usually not have a clearly defined periodic trading activity, which lowers the validity of forecasts produced by the tool, as well as any conclusions originating from the volume to expected volume comparisons. 🔶 SETTINGS Length: Maximum number of records in a volume group for a specific period. Older values are discarded. Smooth: Period of a SMA used to smooth volume. The smoothing affects the expected value. 🔹 Periods Auto Selection: Automatically choose a practical combination of periods based on the chart timeframe. Custom periods can be used if disabling "Auto Selection". Available periods include: - Minutes - Hours - Days (can be: Day of Week, Day of Month, Day of Year) - Months - Quarters 🔹 Summary Method: Method used to obtain the expected value. Options include Mean (default) or Percentile. Percentile: Percentile number used if "Method" is set to "Percentile". A value of 50 will effectively use a median for the expected value. 🔹 Forecast Forecast Window: Number of bars ahead for which the expected volume is predicted. Style: Style settings of the forecast.
Wskaźnik Pine Script®
od LuxAlgo
10
Risk Distribution HistogramStatistical risk visualization and analysis tool for any ticker 📊 The Risk Distribution Histogram visualizes the statistical distribution of different risk metrics for any financial instrument. It converts risk data into histograms with quartile-based color coding, so that traders can understand their risk, tail-risks, exposure patterns and make data-driven decisions based on empirical evidence rather than assumptions. The indicator supports multiple risk calculation methods, each designed for different aspects of market analysis, from general volatility assessment to tail risk analysis. Risk Measurement Methods Standard Deviation Captures raw daily price volatility by measuring the dispersion of price movements. Ideal for understanding overall market conditions and timing volatility-based strategies. Use case: Options trading and volatility analysis. Average True Range (ATR) Measures true range as a percentage of price, accounting for gaps and limit moves. Valuable for position sizing across different price levels. Use case: Position sizing and stop-loss placement. The chart above illustrates how ATR statistical distribution can be used by looking at the ATR % of price distribution. For example, 90% of the movements are below 5%. Downside Deviation Only considers negative price movements, making it ideal for checking downside risk and capital protection rather than capturing upside volatility. Use case: Downside protection strategies and stop losses. Drawdown Analysis Tracks peak-to-trough declines, providing insight into maximum loss potential during different market conditions. Use case: Risk management and capital preservation. The chart above illustrates tale risk for the asset (TQQQ), showing that it is possible to have drawdowns higher than 20%. Entropy-Based Risk (EVaR) Uses information theory to quantify market uncertainty. Higher entropy values indicate more unpredictable price action, valuable for detecting regime changes. Use case: Advanced risk modeling and tail-risk. VIX Histogram Incorporates the market's fear index directly into analysis, showing how current volatility expectations compare to historical patterns. The CAPITALCOM:VIX histogram is independent from the ticker on the chart. Use case: Volatility trading and market timing. Visual Features The histogram uses quartile-based color coding that immediately shows where current risk levels stand relative to historical patterns: Green (Q1): Low Risk (0-25th percentile) Yellow (Q2): Medium-Low Risk (25-50th percentile) Orange (Q3): Medium-High Risk (50-75th percentile) Red (Q4): High Risk (75-100th percentile) The data table provides detailed statistics, including: Count Distribution: Historical observations in each bin PMF: Percentage probability for each risk level CDF: Cumulative probability up to each level Current Risk Marker: Shows your current position in the distribution Trading Applications When current risk falls into upper quartiles (Q3 or Q4), it signals conditions are riskier than 50-75% of historical observations. This guides position sizing and portfolio adjustments. Key applications: Position sizing based on empirical risk distributions Monitoring risk regime changes over time Comparing risk patterns across timeframes Risk distribution analysis improves trade timing by identifying when market conditions favor specific strategies. Enter positions during low-risk periods (Q1) Reduce exposure in high-risk periods (Q4) Use percentile rankings for dynamic stop-loss placement Time volatility strategies using distribution patterns Detect regime shifts through distribution changes Compare current conditions to historical benchmarks Identify outlier events in tail regions Validate quantitative models with empirical data Configuration Options Data Collection Lookback Period: Control amount of historical data analyzed Date Range Filtering: Focus on specific market periods Sample Size Validation: Automatic reliability warnings Histogram Customization Bin Count: 10-50 bins for different detail levels Auto/Manual Bin Width: Optimize for your data range Visual Preferences: Custom colors and font sizes Implementation Guide Start with Standard Deviation on daily charts for the most intuitive introduction to distribution-based risk analysis. Method Selection: Begin with Standard Deviation Setup: Use daily charts with 20-30 bins Interpretation: Focus on quartile transitions as signals Monitoring: Track distribution changes for regime detection The tool provides comprehensive statistics including mean, standard deviation, quartiles, and current position metrics like Z-score and percentile ranking. Enjoy, and please let me know your feedback! 😊🥂
Wskaźnik Pine Script®
od HenriqueCentieiro
2
Advanced MACD Pro (WhiteStone_Ibrahim) - T3 Themed✨ Advanced MACD Pro (WhiteStone_Ibrahim) - T3 Themed ✨ Take your MACD analysis to the next level with the Advanced MACD Pro - T3 Themed indicator by WhiteStone_Ibrahim! This isn't just another MACD; it's a comprehensive toolkit packed with advanced features, unique T3 integration, and extensive customization options to provide deeper market insights. Whether you're a seasoned trader or just starting, this indicator offers a versatile and powerful way to analyze momentum, identify trends, and spot potential reversals. Key Features: Core MACD Functionality: Classic MACD Line: Calculated from customizable Fast and Slow EMAs using your chosen source (Close, Open, HLC3, etc.). Standard Signal Line: EMA of the MACD line, with adjustable length. Dynamic MACD Line Coloring: Automatically changes color based on whether it's above or below the zero line (positive/negative). Zero Line: Clearly plotted for reference. Enhanced MACD Histogram: Sophisticated Color Coding: The histogram isn't just positive or negative. It intelligently colors based on momentum strength and direction: Strong Bullish: MACD above signal, histogram increasing. Weakening Bullish: MACD above signal, histogram decreasing. Strong Bearish: MACD below signal, histogram decreasing. Weakening Bearish: MACD below signal, histogram increasing. Neutral: Default color for other conditions. Optional Histogram Smoothing: Smooth out the histogram noise using one of five different moving average types: SMA, EMA, WMA, RMA, or the advanced T3 (Tilson T3). Customize smoothing length and T3 vFactor. 🌟 Unique T3 Integration (T3 Themed): Extra T3 Signal Line (on MACD): An additional, fast-reacting T3 moving average calculated directly from the MACD line. This provides an alternative and often quicker signal. Customizable T3 length and vFactor. Dynamic Coloring: The T3 Signal Line changes color (bullish/bearish) based on its crossover with the MACD line, offering clear visual cues. T3 is also available as a smoothing option for the main histogram (see above). 🔍 Disagreement & Divergence Detection: Bar/Price Disagreement Markers: Highlights instances where the price bar's direction (e.g., a bullish candle) contradicts the current MACD momentum (e.g., MACD below its signal line). Visual markers (circles) appear above/below bars to draw attention to these potential early warnings or confirmations. Histogram Color Change on Disagreement: Optionally, the histogram can adopt distinct alternative colors during these bar/price disagreements for even clearer visual alerts. Classic Bullish & Bearish Divergence Detection: Automatically identifies regular divergences between price action (Higher Highs/Lower Lows) and the MACD line (Lower Highs/Higher Lows). Customizable pivot lookback periods (left and right bars) for divergence sensitivity. Plots clear "Bull" and "Bear" labels on the price chart where divergences occur. 🎨 Extensive Customization & Visuals: Multiple Color Themes: Choose from pre-set themes like 'Dark Mode', 'Light Mode', 'Neon Night', or use 'Default (Current Settings)' to fine-tune every color yourself. Granular Control (Default Theme): Individually customize colors and thickness for: MACD Line (positive/negative) Standard Signal Line Extra T3 Signal Line (bullish/bearish) Histogram (all four momentum states + neutral) Disagreement Markers & Histogram Alt Colors Divergence Lines/Labels Zero Line Toggle Visibility: Easily show or hide the Standard Signal Line and the Extra T3 Signal Line as needed. 🔔 Comprehensive Alert System: Stay informed of key market events with a wide array of configurable alerts: MACD Line / Standard Signal Line Crossover Histogram / Zero Line Crossover MACD Line / Zero Line Crossover Bullish Divergence Detected Bearish Divergence Detected Bar/Price Disagreement (Bullish & Bearish) MACD Line / Extra T3 Signal Line Crossover Each alert can be individually enabled or disabled. The Advanced MACD Pro - T3 Themed indicator is designed to be your go-to tool for momentum analysis. Its rich feature set empowers you to tailor it to your specific trading style and gain a more nuanced understanding of market dynamics. Add it to your charts today and experience the difference! (Developed by WhiteStone_Ibrahim)
Wskaźnik Pine Script®
od WhiteStone_Ibrahim
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines —  ZVOL  ( volume anomaly detection ) and  OBVX  ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes  optical tensegrity  to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame. 🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets,  Volumetric Tensegrity  captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes. 🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate. 🧠 Core Logic - VTense separates and preserves two essential structural forces: • ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior. • OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off. 🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint. 🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points  before  price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation. 🪖 From Generals to Scouts 👀 When used jointly,  ZVOL + OBVX  act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a  scout  — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate. 🥂 Use the ZVOL + OBVX pair when : • You need independent axis control and manual dissection • You’re building long-form confluence setups • You have more indicator slots than you need 🔎 Use VTense when : • You need compact clarity across multiple instruments • You’re prioritizing confluence _detection_ over granular separation • You’re building efficient multi-layered systems under slot constraints 🏗️ Structural Behavior and Interpretation 🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline 🔵  Compression Coil  – volume volatility is low and stable; the market is coiling 🟢  Steady Rhythm  – volume is healthy but unremarkable; balanced participation 🟡  Passive/Absorbed Effort  – expansion failing to manifest; watch for reversal 🟠  Clean Expansion  – actionable volatility rise backed by structure 🔴  Volatile Blowout  – chaos, climax; likely end-phase or fakeout ⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically  abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field. 🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves 🔑 The curvature of the spread reveals not just directional bias but  crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision. • Green Rising : Accumulation — upward pressure from real buyers • Red Falling : Distribution — sell pressure, downward slope • Flat Curves : Transitional → uncertainty, microstructure digestion 🎭 Synchronized vs Divergent Behavior ⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves. • ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure • ZVOL expands while OBVX steepens red = growing sell-side intent 🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps. • ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment ⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release. • ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy • After prolonged drift, expect violent asymmetry when balance finally breaks 📚 Phase Interpretation: Dynamic Structural Read • 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency • 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension • 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment • 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal 💡 Suggested Use • Run on 15m charts for breakout anticipation and 1H for validation • Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase • Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.) • Ideal during low-volume regimes to detect pressure buildup before triggers 🧏🏻 Volumetric Tensegrity doesn’t signal. It  breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
Wskaźnik Pine Script®
od TheLeadingIndicator
1
QuantumSync Pulse [ w.aritas ]QuantumSync Pulse (QSP) is an advanced technical indicator crafted for traders seeking a dynamic and adaptable tool to analyze diverse market conditions. By integrating momentum, mean reversion, and regime detection with quantum-inspired calculations and entropy analysis, QSP offers a powerful histogram that reflects trend strength and market uncertainty. With multi-timeframe synchronization, adaptive filtering, and customizable visualization, it’s a versatile addition to any trading strategy. Key Features Hybrid Signals: Combines momentum and mean reversion, dynamically weighted by market regime. Quantum Tunneling: Enhances responsiveness in volatile markets using volatility-adjusted calculations. 3-State Entropy: Assesses market uncertainty across up, down, and neutral states. Regime Detection: Adapts signal weights with Hurst exponent and volatility ROC. Multi-Timeframe Alignment: Syncs with higher timeframe trends for context. Customizable Histogram: Displays trend strength with ADX-based visuals and flexible styling. How to Use and Interpret Histogram Interpretation Positive (Above Zero): Bullish momentum; color intensity shows trend strength. Negative (Below Zero): Bearish momentum; gradients indicate weakness. Overlaps: Alignment of final_z (signal) and ohlc4 (price) histograms highlights key price levels or turning points. Regime Visualization Green Background: Trending market; prioritize momentum signals. Red Background: Mean-reverting market; focus on reversion signals. Blue Background: Neutral state; balance both signal types. Trading Signals Buy: Histogram crosses above zero or shows positive divergence between histograms. Sell: Histogram crosses below zero or exhibits negative divergence. Confirmation: Match signals with regime background—green for trends, red for ranges. Customization Tweak Momentum Length, Entropy Lookback, and Hurst Exponent Lookback for sensitivity. Adjust color themes and transparency to suit your charts. Tips for Optimal Use Timeframes: Use higher timeframes (1h, 4h) for trend context and lower (5m, 15m) for entries. Pairing: Combine with RSI, MACD, or volume indicators for confirmation. Backtesting: Test settings on historical data for asset-specific optimization. Overlaps: Watch for histogram overlaps to identify support, resistance, or reversals. Simulated Performance Trending Markets: Histogram stays above/below zero, with overlaps at retracements for entries. Range-Bound Markets: Oscillates around zero; overlaps signal reversals in red regimes. Volatile Markets: Quantum tunneling ensures quick reactions, with filters reducing noise. Elevate your trading with QuantumSync Pulse—a sophisticated tool that adapts to the market’s rhythm and your unique style.
Wskaźnik Pine Script®
od insidermike
ZVOL — Z-Score Volume Heatmapⓩ ZVOL transforms raw volume into a statistically calibrated heatmap using Z-score thresholds. Unlike classic volume indicators that rely on fixed MA comparisons, ZVOL calculates how many standard deviations each volume bar deviates from its mean. This makes the reading adaptive across timeframes and assets, in order to distinguish meaningful crowd behavior from random volatility. 📊 The core display is a five-zone histogram, each encoded by color and statistical depth. Optional background shading mirrors these zones across the entire pane, revealing subtle compression or structural rhythm shifts across time. By grounding the volume reading in volatility-adjusted context, ZVOL inhibits impulsive trading tactics by compelling the structure, not the sentiment, to dictate the signal. 🥵  Heatmap Coloration: 🌚 Suppressed volume —  congestion, coiling phases 🩱 Stable flow —  early trend or resting volume 🏀 High activity —  emerging pressure 💔 Extreme —  possible climax or institutional print 🎗️ A dynamic Fibonacci-based 21:34-period EMA ribbon overlays the histogram. The fill area inverts color on crossover, providing a real-time read on tempo, expansion, or divergence between price structure and crowd effort. 💡  LTF Usage Suggestions: • Confirm breakout legs when orange or red zones align with range exits • Fade overextended moves when red bars appear into resistance • Watch for rising EMAs and orange volume to front-run impulsive moves • Combine with volatility suppression (e.g. ATR) to catch compression → expansion transitions 🥂  Ideal Pairings: • OBVX Conviction Bias —  to confirm directional intent behind volume shifts • SUPeR TReND 2.718 —  for directional filters • ATR Turbulence Ribbon —  to detect compression phases 👥 The OBVX Conviction Bias adds a second dimension to ZVOL by revealing whether crowd effort is aligning with price direction or diverging beneath the surface. While ZVOL identifies statistical anomalies in raw volume, OBVX tracks directional commitment using cumulative volume and moving average cross logic. Use them together to spot fake-outs, anticipate structure-confirmed breakouts, or time pullbacks with volume-based conviction. 🔬 ZVOL isn’t just a volume filter — it’s a structural lens. It reveals when crowd effort is meaningful, when it's fading, and when something is about to shift. Designed for structure-aware traders who care about context, not noise.
Wskaźnik Pine Script®
od TheLeadingIndicator
Fuzzy SMA Trend Analyzer (experimental)[FibonacciFlux]Fuzzy SMA Trend Analyzer (Normalized): Advanced Market Trend Detection Using Fuzzy Logic Theory Elevate your technical analysis with institutional-grade fuzzy logic implementation Research Genesis & Conceptual Framework This indicator represents the culmination of extensive research into applying fuzzy logic theory to financial markets. While traditional technical indicators often produce binary outcomes, market conditions exist on a continuous spectrum. The Fuzzy SMA Trend Analyzer addresses this limitation by implementing a sophisticated fuzzy logic system that captures the nuanced, multi-dimensional nature of market trends. Core Fuzzy Logic Principles At the heart of this indicator lies fuzzy logic theory - a mathematical framework designed to handle imprecision and uncertainty: // Improved fuzzy_triangle function with guard clauses for NA and invalid parameters. fuzzy_triangle(val, left, center, right) => if na(val) or na(left) or na(center) or na(right) or left > center or center > right // Guard checks 0.0 else if left == center and center == right // Crisp set (single point) val == center ? 1.0 : 0.0 else if left == center // Left-shoulder shape (ramp down from 1 at center to 0 at right) val >= right ? 0.0 : val <= center ? 1.0 : (right - val) / (right - center) else if center == right // Right-shoulder shape (ramp up from 0 at left to 1 at center) val <= left ? 0.0 : val >= center ? 1.0 : (val - left) / (center - left) else // Standard triangle math.max(0.0, math.min((val - left) / (center - left), (right - val) / (right - center))) This implementation of triangular membership functions enables the indicator to transform crisp numerical values into degrees of membership in linguistic variables like "Large Positive" or "Small Negative," creating a more nuanced representation of market conditions. Dynamic Percentile Normalization A critical innovation in this indicator is the implementation of percentile-based normalization for SMA deviation: // ----- Deviation Scale Estimation using Percentile ----- // Calculate the percentile rank of the *absolute* deviation over the lookback period. // This gives an estimate of the 'typical maximum' deviation magnitude recently. diff_abs_percentile = ta.percentile_linear_interpolation(math.abs(raw_diff), normLookback, percRank) + 1e-10 // ----- Normalize the Raw Deviation ----- // Divide the raw deviation by the estimated 'typical max' magnitude. normalized_diff = raw_diff / diff_abs_percentile // ----- Clamp the Normalized Deviation ----- normalized_diff_clamped = math.max(-3.0, math.min(3.0, normalized_diff)) This percentile normalization approach creates a self-adapting system that automatically calibrates to different assets and market regimes. Rather than using fixed thresholds, the indicator dynamically adjusts based on recent volatility patterns, significantly enhancing signal quality across diverse market environments. Multi-Factor Fuzzy Rule System The indicator implements a comprehensive fuzzy rule system that evaluates multiple technical factors: SMA Deviation (Normalized): Measures price displacement from the Simple Moving Average Rate of Change (ROC): Captures price momentum over a specified period Relative Strength Index (RSI): Assesses overbought/oversold conditions These factors are processed through a sophisticated fuzzy inference system with linguistic variables: // ----- 3.1 Fuzzy Sets for Normalized Deviation ----- diffN_LP := fuzzy_triangle(normalized_diff_clamped, 0.7, 1.5, 3.0) // Large Positive (around/above percentile) diffN_SP := fuzzy_triangle(normalized_diff_clamped, 0.1, 0.5, 0.9) // Small Positive diffN_NZ := fuzzy_triangle(normalized_diff_clamped, -0.2, 0.0, 0.2) // Near Zero diffN_SN := fuzzy_triangle(normalized_diff_clamped, -0.9, -0.5, -0.1) // Small Negative diffN_LN := fuzzy_triangle(normalized_diff_clamped, -3.0, -1.5, -0.7) // Large Negative (around/below percentile) // ----- 3.2 Fuzzy Sets for ROC ----- roc_HN := fuzzy_triangle(roc_val, -8.0, -5.0, -2.0) roc_WN := fuzzy_triangle(roc_val, -3.0, -1.0, -0.1) roc_NZ := fuzzy_triangle(roc_val, -0.3, 0.0, 0.3) roc_WP := fuzzy_triangle(roc_val, 0.1, 1.0, 3.0) roc_HP := fuzzy_triangle(roc_val, 2.0, 5.0, 8.0) // ----- 3.3 Fuzzy Sets for RSI ----- rsi_L := fuzzy_triangle(rsi_val, 0.0, 25.0, 40.0) rsi_M := fuzzy_triangle(rsi_val, 35.0, 50.0, 65.0) rsi_H := fuzzy_triangle(rsi_val, 60.0, 75.0, 100.0) Advanced Fuzzy Inference Rules The indicator employs a comprehensive set of fuzzy rules that encode expert knowledge about market behavior: // --- Fuzzy Rules using Normalized Deviation (diffN_*) --- cond1 = math.min(diffN_LP, roc_HP, math.max(rsi_M, rsi_H)) // Strong Bullish: Large pos dev, strong pos roc, rsi ok strength_SB := math.max(strength_SB, cond1) cond2 = math.min(diffN_SP, roc_WP, rsi_M) // Weak Bullish: Small pos dev, weak pos roc, rsi mid strength_WB := math.max(strength_WB, cond2) cond3 = math.min(diffN_SP, roc_NZ, rsi_H) // Weakening Bullish: Small pos dev, flat roc, rsi high strength_N := math.max(strength_N, cond3 * 0.6) // More neutral strength_WB := math.max(strength_WB, cond3 * 0.2) // Less weak bullish This rule system evaluates multiple conditions simultaneously, weighting them by their degree of membership to produce a comprehensive trend assessment. The rules are designed to identify various market conditions including strong trends, weakening trends, potential reversals, and neutral consolidations. Defuzzification Process The final step transforms the fuzzy result back into a crisp numerical value representing the overall trend strength: // --- Step 6: Defuzzification --- denominator = strength_SB + strength_WB + strength_N + strength_WBe + strength_SBe if denominator > 1e-10 // Use small epsilon instead of != 0.0 for float comparison fuzzyTrendScore := (strength_SB * STRONG_BULL + strength_WB * WEAK_BULL + strength_N * NEUTRAL + strength_WBe * WEAK_BEAR + strength_SBe * STRONG_BEAR) / denominator The resulting FuzzyTrendScore ranges from -1 (strong bearish) to +1 (strong bullish), providing a smooth, continuous evaluation of market conditions that avoids the abrupt signal changes common in traditional indicators. Advanced Visualization with Rainbow Gradient The indicator incorporates sophisticated visualization using a rainbow gradient coloring system: // Normalize score to for gradient function normalizedScore = na(fuzzyTrendScore) ? 0.5 : math.max(0.0, math.min(1.0, (fuzzyTrendScore + 1) / 2)) // Get the color based on gradient setting and normalized score final_color = get_gradient(normalizedScore, gradient_type) This color-coding system provides intuitive visual feedback, with color intensity reflecting trend strength and direction. The gradient can be customized between Red-to-Green or Red-to-Blue configurations based on user preference. Practical Applications The Fuzzy SMA Trend Analyzer excels in several key applications: Trend Identification: Precisely identifies market trend direction and strength with nuanced gradation Market Regime Detection: Distinguishes between trending markets and consolidation phases Divergence Analysis: Highlights potential reversals when price action and fuzzy trend score diverge Filter for Trading Systems: Provides high-quality trend filtering for other trading strategies Risk Management: Offers early warning of potential trend weakening or reversal Parameter Customization The indicator offers extensive customization options: SMA Length: Adjusts the baseline moving average period ROC Length: Controls momentum sensitivity RSI Length: Configures overbought/oversold sensitivity Normalization Lookback: Determines the adaptive calculation window for percentile normalization Percentile Rank: Sets the statistical threshold for deviation normalization Gradient Type: Selects the preferred color scheme for visualization These parameters enable fine-tuning to specific market conditions, trading styles, and timeframes. Acknowledgments The rainbow gradient visualization component draws inspiration from LuxAlgo's "Rainbow Adaptive RSI" (used under CC BY-NC-SA 4.0 license). This implementation of fuzzy logic in technical analysis builds upon Fermi estimation principles to overcome the inherent limitations of crisp binary indicators. This indicator is shared under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Remember that past performance does not guarantee future results. Always conduct thorough testing before implementing any technical indicator in live trading.
Wskaźnik Pine Script®
od FibonacciFlux
Percent Change HistogramThis indicator shows you percent changes in a super visual way using a color-coded histogram. Here's how the colors work: 🟩 Dark green = percent change is growing stronger 🟢 Light green = still positive but losing steam 🟥 Dark red = getting more negative 🔴 Light red = negative but improving The cool part? You can set any lookback period you want. For example: 24 periods on 1H chart = last 24 hours 30 periods on daily = last month 7 periods on daily = last week Pro tip: You're not locked to your chart's timeframe! Want to see monthly changes while trading on 5min? No problem. You can even stack multiple indicators to watch different intervals simultaneously (daily, weekly, monthly) - super helpful for multi-timeframe analysis. Perfect for spotting momentum shifts across different timeframes without switching between charts.
Wskaźnik Pine Script®
od strimaitis
Market Performance by Yearly Seasons [LuxAlgo]The Market Performance by Yearly Seasons tool allows traders to analyze the average returns of the four seasons of the year and the raw returns of each separate season. 🔶 USAGE By default, the tool displays the average returns for each season over the last 10 years in the form of bars, with the current session highlighted as a bordered bar. Traders can choose to display the raw returns by year for each season separately and select the maximum number of seasons (years) to display. 🔹 Hemispheres Traders can select the hemisphere in which they prefer to view the data. 🔹 Season Types Traders can select the type of seasons between meteorological (by default) and astronomical. The meteorological seasons are as follows: Autumn: months from September to November Winter: months from December to February Spring: months from March to May Summer: months from June to August The astronomical seasons are as follows: Autumn: from the equinox on September 22 Winter: from the solstice on December 21 Spring: from the equinox on March 20 Summer: from the solstice on June 21 🔹 Displaying the data Traders can choose between two display modes, average returns by season or raw returns by season and year. 🔶 SETTINGS Max seasons: Maximum number of seasons Hemisphere: Select NORTHERN or SOUTHERN hemisphere Season Type: Select the type of season - ASTRONOMICAL or METEOROLOGICAL Display: Select display mode, all four seasons, or any one of them 🔹 Style Bar Size & Autofit: Select the size of the bars and enable/disable the autofit feature Labels Size: Select the label size Colors & Gradient: Select the default color for bullish and bearish returns and enable/disable the gradient feature
Wskaźnik Pine Script®
od LuxAlgo
1
Dominant Smoothed Volume Pro Smoothed Volume Pro provides a useful tool designed to provide traders with a deeper understanding of market dynamics by analyzing buy and sell volume across multiple timeframes. Unlike traditional volume indicators, this script normalizes volume data from lower timeframes to align with the current chart's timeframe, providing an apples-to-apples comparison. The result is a visual histogram representation of the dominant buy or sell activity, smoothed over 5 different periods to reflect momentum shifts and enhance clarity. Core Methodology 1. Multi-Timeframe Volume Analysis This indicator leverages data from five different lower timeframes, each chosen dynamically based on the current chart's timeframe. By aggregating and normalizing these granular data points, the indicator captures subtle shifts in buy and sell volume that might otherwise go unnoticed. This multi-timeframe approach allows for a more detailed and accurate representation of market activity. 2. Data Normalization Normalization is a critical component of this indicator. It ensures that volume data from lower timeframes is scaled appropriately to match the total volume of the current chart's timeframe. This step eliminates discrepancies caused by varying time intervals, providing a more meaningful comparison of volume trends across different periods. 3. Smoothing for Momentum Representation The indicator employs five customizable smoothing factors to smooth out noisy volume data. Each smoothing factor is distinctly color-coded in the histogram and table for intuitive analysis, helping traders quickly identify prevailing trends. Features and Benefits ➖Customizable Smoothing Factors: Choose from five different smoothing factors, each with its unique settings for line styles, colors, and extensions. ➖Normalized Buy and Sell Volume: Displays normalized buy and sell volumes as a percentage of total activity, aiding in quick decision-making. ➖Visual Cues: Color-coded columns and labels help identify dominant trends at a glance, with high-opacity fills for visual clarity. ➖Dynamic Table: A built-in table summarizes smoothed volume data for each smoothing factor, offering a quick overview of bullish and bearish percentages. ➖Momentum Signals: Detect significant shifts in volume momentum with visually distinct alerts for high relative volumes, including special symbols like "⚡" and "🔥." Practical Applications ➖Identifying Market Sentiment: Quickly determine whether the market is dominated by buyers or sellers at any given moment. ➖Spotting Reversals: Use momentum shifts in smoothed volume to anticipate potential trend reversals. ➖Enhancing Entry and Exit Points: Combine this indicator with other technical tools to refine entry and exit points in your trading strategy. Why This Indicator Stands Out Many existing volume indicators focus solely on raw or single-timeframe data, which can be misleading or incomplete. This indicator sets itself apart by: Utilizing multi-timeframe data to provide a holistic view of market activity. Applying robust normalization techniques to ensure data consistency. Offering advanced smoothing options to emphasize actionable momentum signals. This unique combination of features makes it an indispensable tool for traders seeking to enhance their market analysis and decision-making process. As always, by combining the Smoothed Volume Pro with other tools, traders ensure that they are not relying on a single indicator. This layered approach can reduce the likelihood of false signals and improve overall trading accuracy. Here's an additional visual representation using the plot fills:
Wskaźnik Pine Script®
od MYNAMEISBRANDON
3