Inizia

Pinescript

3D Volume Profile [UAlgo]3D Volume Profile is a chart based volume profile indicator that takes a classic horizontal profile concept and presents it as a pseudo 3D structure directly on price. Instead of drawing flat histogram bars only, the script renders each profile row as a shaded 3D block with a front face, a side face, and a top face, which creates a stronger visual sense of depth and distribution. The indicator runs on price ( overlay=true ) and builds a rolling volume profile over a user defined lookback window. It divides the recent price range into fixed bins, distributes candle volume across those bins, identifies the Point of Control and the Value Area, and then draws the result on the right side of the chart. Each row is color coded by dominant flow direction, which means the profile can show whether a bin was more buy dominated or sell dominated in addition to showing how much total volume accumulated there. This makes the tool useful for traders who want more than a basic profile display. It combines: A rolling horizontal volume profile Buy versus sell dominance shading Point of Control and Value Area detection A forward projected 3D style histogram Clear POC, VAH, and VAL reference lines on the chart The final result is a visually rich profile tool designed for fast structural reading, especially when identifying acceptance zones, thin areas, and dominant participation regions. 🔹 Features 🔸 1) Rolling Volume Profile Over a Recent Window The script builds a rolling profile from the most recent user selected number of bars. This means the profile continuously adapts as new bars come in, making it more useful for current market structure analysis than a fixed session only approach. 🔸 2) 3D Style Histogram Rendering Each volume row is drawn as a pseudo 3D block rather than a flat rectangle. The script creates: A front face A side face A top face The side and top faces are shaded versions of the main color, which gives the profile a depth effect and makes the structure easier to read visually. 🔸 3) Customizable 3D Depth in X and Y The 3D effect is controlled with two settings: 3D Depth X , which controls how far the rear face is shifted horizontally in bars 3D Depth Y , which controls how far the rear face is shifted vertically as a percentage of row height This allows the user to make the profile look flatter or more pronounced depending on preference. 🔸 4) Buy and Sell Volume Dominance Coloring Each bin tracks both buy volume and sell volume. If buy volume is greater than or equal to sell volume, the row uses the bullish color. If sell volume dominates, the row uses the bearish color. This means the profile is not only a measure of total activity. It also adds directional context to each price zone. 🔸 5) Point of Control Detection The script identifies the row with the highest total volume and marks it as the Point of Control. The POC is highlighted with its own dedicated color and is visually distinct from the rest of the profile. This gives traders an immediate reference for the most active price zone in the rolling range. 🔸 6) Value Area Calculation The indicator calculates a Value Area around the Point of Control based on the user selected percentage. Bins inside the Value Area are marked and recolored with the Value Area color, which makes the high participation region easy to identify. 🔸 7) Forward Projected Profile Layout The profile is drawn to the right of current price using a configurable offset. This keeps the active candle area readable while still placing the profile in a clear and accessible location. 🔸 8) Adjustable Resolution and Width Users can control: The lookback length The number of profile rows The maximum width of the histogram The right side offset This makes the indicator suitable for both coarse structural analysis and more detailed profile inspection. 🔸 9) POC, VAH, and VAL Reference Lines After the profile is built, the script calculates the POC, Value Area High, and Value Area Low, then projects horizontal reference lines across the chart. Labels are placed to the right so the key levels are clearly marked. 🔸 10) Row by Row Dominance and Acceptance Reading Because each row stores total volume, buy volume, sell volume, Value Area membership, and POC status, the indicator gives a layered view of the market: Where the most activity occurred Which zones were accepted Which zones were dominated by buyers Which zones were dominated by sellers 🔸 11) Premium Visual Presentation The script uses shaded faces, dedicated POC highlighting, Value Area recoloring, and clean right side labels. This makes it more presentation focused than a basic flat profile and improves chart readability for manual analysis. 🔹 Calculations 1) Profile Range Detection The script first finds the highest high and lowest low inside the active lookback window. This defines the full vertical range of the volume profile. Only the most recent bars inside that window are used for profile construction. 2) Bin Initialization Once the recent range is known, the script divides that price range into the chosen number of bins. Each bin stores: Top boundary Bottom boundary Total volume Buy volume Sell volume Flags for Value Area and POC The bin size is calculated by dividing the total price range by the number of rows. 3) Volume Distribution Across Price Bins For each candle, the script determines which bins the candle spans. It then spreads that candle’s volume evenly across all touched bins. This is important because the script does not place the full candle volume into a single price level. Instead, it allocates the candle volume across the portion of the profile that candle covers. Important implementation note: This script uses equal distribution across the spanned bins, not proportional overlap weighting. That means each touched row receives the same share of the candle’s volume. 4) Buy Versus Sell Volume Classification The script classifies each candle as buy dominated or sell dominated using candle direction: If close is greater than or equal to open, the candle is treated as buy volume If close is below open, the candle is treated as sell volume That candle’s allocated volume is then added to either volBuy or volSell inside each touched bin. This is a practical directional approximation, not true bid ask tape volume. 5) Total Volume and POC Detection After all candles are processed, the script scans every bin and calculates: The total volume across the profile The maximum single bin volume The POC index The POC is the bin with the highest total volume. That bin is marked as both isPOC and isVA before Value Area expansion begins. 6) Value Area Expansion Logic The Value Area is built around the POC by expanding upward and downward until the selected percentage of total profile volume is included. The script compares the next bin above and the next bin below the current Value Area. It adds whichever side has greater volume first. This continues until cumulative included volume reaches the target Value Area percentage. This creates a standard profile style Value Area centered on the highest participation region. 7) Histogram Width Normalization Each row’s width is scaled relative to the maximum volume row: The row with the most volume becomes the widest Smaller rows are scaled proportionally This means width directly communicates relative participation at each price zone. 8) Color Selection Logic For each bin, the script first determines whether buy volume or sell volume dominates: If buy volume is greater than or equal to sell volume, it uses the bullish color Otherwise it uses the bearish color Then the script overrides that base direction color if needed: If the row is the POC, it uses the POC color If the row is inside the Value Area, it uses the Value Area color This gives the profile a clear visual hierarchy: POC first Value Area second Directional dominance otherwise 9) 3D Face Construction Each row is rendered as a pseudo 3D object using: A front rectangle A shifted back edge using the X and Y depth settings A side face when horizontal depth is visible A top or bottom face depending on vertical depth direction The script shades the side face darker and the top face brighter than the base color to create a depth illusion. This is a visual projection technique, not a true 3D engine, but it produces a convincing 3D profile effect on the chart. 10) Rendering Order Logic The script changes draw order depending on the sign of the Y depth: If vertical depth is positive, rows are drawn from bottom to top If vertical depth is negative, rows are drawn from top to bottom This helps the 3D faces stack more cleanly and reduces visual overlap issues. 11) POC, VAH, and VAL Price Calculation After the profile is complete: The POC price is the midpoint of the POC bin VAH is the highest top boundary among all Value Area bins VAL is the lowest bottom boundary among all Value Area bins These levels are then drawn as horizontal lines extending from the left side of the lookback window toward the right side label area. 12) Label Placement The labels for POC, VAH, and VAL are placed slightly to the right of the profile. This keeps them readable and avoids overlap with the 3D bars themselves.
Indicatore Pine Script®
di UAlgo
Improved EMA Trend + ATR Strategy with ArrowsThis strategy is built around a simple idea: strong directional moves often begin after periods of low volatility. Instead of chasing trends late, it waits for price compression and then trades the breakout when expansion begins. The approach combines volatility structure and trend alignment to reduce random entries. Core Concept Markets cycle between quiet phases and expansion phases. When volatility contracts, it often leads to a stronger move once price breaks out of that range. This strategy attempts to capture that transition. How It Works 1. Volatility Compression Detection A squeeze condition is identified when Bollinger Bands contract inside Keltner Channels. This signals reduced volatility. 2. Squeeze Release The strategy waits for volatility to expand again. Trades are only considered when the squeeze ends. 3. Breakout Confirmation Entries occur when price breaks above or below the Bollinger Bands after the squeeze release. 4. Trend Alignment A long-term EMA is used to filter direction: Above EMA → bullish bias Below EMA → bearish bias This helps reduce counter-trend trades. 5. Risk Management Stop-loss and take-profit levels are based on ATR. This allows exits to adapt to current market volatility. A configurable risk-to-reward ratio defines profit targets. Key Features Structured volatility-based entries Trend confirmation filter ATR-based dynamic risk control Commission and slippage included for realistic testing No repainting logic Best Conditions This type of strategy tends to perform better during: Volatility expansion phases Strong directional markets Assets that experience compression before breakouts It may underperform in slow, range-bound environments. Important Notes This strategy is designed for research and backtesting purposes. Performance will vary across different markets and timeframes. Always evaluate across multiple conditions before considering live deployment.
Strategia Pine Script®
di AIScripts
StO Price Action - Trend HeatmapShort Summary - Displays multi-timeframe market bias as a color heatmap table - Aggregates bullish and bearish candles per timeframe - Visual intensity reflects directional dominance Full Description Overview - Analyzes up to 10 selectable timeframes simultaneously - Counts bullish and bearish candles per timeframe - Evaluates a configurable number of historical candles - More bullish candles increase green intensity - More bearish candles increase red intensity - Neutral or mixed conditions appear visually balanced - Outputs results in a compact on-chart table Method - Designed to visualize multi-timeframe alignment - Provides instant directional context across intraday to macro levels - Uses candle color logic as momentum proxy - Helps identify trend stacking or timeframe divergence - Clean table layout with adjustable screen position Timeframe Structure - Supports custom selection of up to 10 timeframes - Intraday and higher timeframes can be mixed freely - Each timeframe can be enabled or disabled individually - Works with built-in available timeframes Usage - Select which timeframes to include - Set how many candles to evaluate per timeframe - Position the table on the chart as preferred - Use strong color clustering as confirmation tool - Watch for mixed colors as early warning of conflict Notes - Does not predict reversals, only shows directional dominance - Particularly useful for top-down analysis - Designed as bias confirmation, not as entry trigger
Indicatore Pine Script®
di sto_svc
Volatility-Gated Trend Oscillator [QuantAlgo]🟢 Overview The Volatility-Gated Trend Oscillator identifies statistically significant trend conditions by measuring price deviation from a dynamic baseline and filtering out normal market noise through an adaptive volatility floor. It calculates a moving average of the chosen type as a baseline, then measures how far price has deviated from it relative to average absolute deviation to define a noise threshold. Only when price breaks decisively beyond this threshold is a trend state confirmed, helping traders distinguish genuine momentum from random noise across different timeframes and markets. 🟢 How It Works The indicator's core methodology lies in its dual-layer approach combining deviation measurement with volatility-gated filtering, where trend confirmation requires price movement to exceed statistically meaningful thresholds. First, a configurable moving average is calculated to establish a dynamic baseline reflecting the underlying trend at the chosen sensitivity level: baseline = get_ma(src, sensitivity, ma_type) raw_diff = src - baseline Then, the average absolute deviation from the baseline is measured over the same period and scaled by a user-defined multiplier to construct an adaptive noise floor, which is the minimum price deviation required to confirm a trend signal: noise_floor = ta.sma(math.abs(raw_diff), sensitivity) * noise_mult The trend state is then determined by comparing raw deviation against this noise floor, with a decay mechanism applied when price re-enters the neutral zone to avoid abrupt reversals: if raw_diff > noise_floor trend_state := 1 locked_val := raw_diff else if raw_diff < -noise_floor trend_state := -1 locked_val := raw_diff else locked_val := locked_val * 0.9 The locked deviation value is then normalized by ATR to make the oscillator comparable across instruments and volatility regimes, and smoothed with a short WMA to reduce micro-fluctuations in the final output: normalized_val = locked_val / ta.atr(sensitivity) final_osc = ta.wma(normalized_val, 5) This creates a robust momentum oscillator that only registers trend conditions when price makes structurally significant moves beyond typical noise, while the ATR normalization ensures readings remain meaningful and consistent regardless of the underlying instrument's price scale or volatility level. 🟢 Signal Interpretation ▶ Bullish Trend (Oscillator Rising Above Zero with Bullish Color): When price deviation breaks above the positive noise floor, the oscillator enters bullish mode with green/bullish coloring across all visual elements = Confirmed upward momentum signal for trend-following long positions. The trend remains bullish until price deviation falls below the negative noise floor, allowing traders to stay positioned through normal consolidations without premature exits on minor pullbacks that remain within the noise boundary. ▶ Bearish Trend (Oscillator Falling Below Zero with Bearish Color): When price deviation breaks below the negative noise floor, the oscillator enters bearish mode with red/bearish coloring across all visual elements = Confirmed downward momentum signal for short positions or long exit signals. The trend remains bearish until deviation exceeds the positive noise floor, enabling traders to maintain directional bias through corrective bounces that stay within the threshold boundaries. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets tailored for different trading styles and timeframes. "Default" delivers balanced trend detection for swing trading on 4-hour and daily charts, filtering minor noise while remaining responsive to meaningful momentum shifts. "Fast Response" uses a reactive EMA baseline with a tighter noise floor for intraday and scalping timeframes, generating earlier signals suited to active traders on 5-minute to 1-hour charts. "Smooth Trend" applies a smooth, lag-reduced HMA baseline with a demanding noise threshold for position trading on daily and weekly charts, confirming only major directional shifts with minimal false positives. ▶ Built-in Alerts: Three alert conditions enable automated monitoring of trend transitions without constant chart observation. "Bullish Trend Signal" triggers when the oscillator first enters a confirmed bullish state, alerting for potential long entries. "Bearish Trend Signal" activates when the oscillator first enters a confirmed bearish state, signaling potential short entries or long exits. "Trend Direction Changed" provides a combined alert for any trend transition regardless of direction, allowing traders to monitor both bullish and bearish opportunities through a single alert setup. ▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart themes and aesthetic preferences, with coordinated bullish and bearish color schemes applied consistently across all indicator elements. A layered luminance fill system creates graduated visual depth around the main oscillator line using four fill zones at progressively increasing transparency, making trend strength and direction immediately readable at a glance. Optional bar coloring tints price bars with the active trend color during confirmed bullish and bearish periods, providing instant overhead visual confirmation of trend state without requiring direct reference to the oscillator panel below.
Indicatore Pine Script®
di QuantAlgo
4
BTC Volatility-Weighted Trend Matrix [QuantAlgo]The BTC Volatility-Weighted Trend Matrix is a volatility-adaptive trend confirmation system engineered specifically for Bitcoin’s expansion-driven behavior. Unlike traditional moving average cross systems that react purely to price, this model integrates Volume Expansion + Volatility Expansion + EMA Structure Alignment to confirm institutional-grade momentum. This creates fewer false signals and stronger continuation bias during real impulsive moves. 1️⃣ Core Philosophy Behind the Indicator Bitcoin does not trend smoothly — it expands. Most retail indicators trigger signals during low-volatility chop. This system avoids that by requiring: • Price trend confirmation • Above-average volume participation • Volatility expansion (ATR confirmation) Only when all three align does the system validate trend bias. This makes it ideal for BTC’s breakout-based structure. INTERNAL COMPONENTS EXPLAINED 1. Volume Confirmation Engine Formula Used: Average Volume (SMA of Volume) → Current Volume must exceed average × multiplier Why It Matters: Strong trends require participation. If price crosses EMAs but volume is weak → move is unreliable. The multiplier allows you to control sensitivity: Lower values = more signals (more reactive) Higher values = only strong expansion bars qualify This filters low-interest consolidation phases. 2. ATR Volatility Filter ATR (Average True Range) measures market expansion. The indicator compares: Current ATR vs ATR Moving Average A signal is only valid when volatility exceeds its own baseline. Why This Is Critical for BTC: Bitcoin trends during volatility expansion phases. When ATR contracts → market is ranging. When ATR expands → market is moving with conviction. This prevents false EMA crossovers in sideways conditions. 3. Dual EMA Trend Engine (21 / 55) Fast EMA = 21 Slow EMA = 55 This pairing is optimized for BTC’s rhythm: 21 captures short-term impulse 55 captures swing structure bias Trend is considered bullish when: Fast EMA > Slow EMA AND volume expansion confirmed AND ATR expansion confirmed Bearish when the inverse occurs. This is not just a crossover system — it is a multi-factor confirmation model. 📈 4. Trend Strength Meter (0–100) The system measures the distance between EMAs relative to price. Larger EMA separation = stronger momentum imbalance. The output is normalized to a 0–100 score: 0–30 → Weak / Compression 30–60 → Developing Trend 60–80 → Strong Expansion 80–100 → Aggressive Momentum Phase This gives you a quantitative measure of trend power — not just direction. 5. Visual Architecture • Dynamic EMA coloring (bull/bear bias) • Ribbon fill for structure clarity • Optional background bias mode • Real-time strength label The design ensures instant recognition of: Trend Direction Momentum Quality Market Phase How to Use This Indicator Best Conditions: ✔ BTC 1H, 4H, Daily ✔ Breakout trading ✔ Trend continuation setups ✔ Pullback entries during expansion Entry Logic (Example): Trend flips bullish Trend strength above 40 Pullback into 21 EMA Volume expansion returns → Entry aligned with expansion phase Avoid: • Low ATR compression • Strength below 25 • Flat EMA structure Risk Management Guidance This indicator identifies directional bias — not exact entry price. Combine with: • Structure (Higher Highs / Higher Lows) • Liquidity sweeps • Support / Resistance • Risk-to-Reward framework Never trade signals blindly. Use confluence. Why This Is Different From Standard EMA Systems Standard EMA Cross: → Signals during chop → No participation filter → No volatility awareness BTC Trend Matrix: ✔ Requires participation ✔ Requires volatility ✔ Requires structural alignment ✔ Measures strength It trades expansion — not noise. 🏁 Final Summary The BTC Volatility-Weighted Trend Matrix is built to: • Capture explosive Bitcoin moves • Filter consolidation noise • Quantify momentum strength • Provide institutional-style confirmation It is a trend validation engine — not a guessing tool.
Indicatore Pine Script®
di Mentor_Michael03
Winter Arrow [JOAT]Winter Arrow is a Pine Script v6 indicator combining Smart Money Concepts (SMC), institutional volume analysis, VWAP ribbon bands, and multi-factor signal fusion into one precision trading framework. It provides real-time supply/demand zones, Fair Value Gaps (FVG/IVFG), market structure labels, dynamic VWAP ribbons, and a comprehensive dashboard for crypto, forex, futures, indices, and stock trading. Note: This script is published as an invite-only INDICATOR. It does not generate backtesting results or automated trade execution. ## Why This Script Merits Invite-Only Protection This indicator integrates multiple analytical dimensions that traders typically access through separate SMC platforms or expensive institutional tools. The value proposition lies in the specific integration methodology and proprietary calculations that synthesize: VWAP Ribbon Band System with dynamic multiplier adapting to market volatility Trend-colored VWAP core line (blue/red/white) indicating directional bias Three-tier gradient ribbon zones (inner/middle/outer) with enhanced transparency Supply/Demand zone detection with 1.8x body multiplier for frequent identification Fair Value Gap (FVG) and Inverse Fair Value Gap (IVFG) with colored labels Market structure analysis with swing labels (HH/HL/LH/LL) and BOS detection SMC Order Blocks with large labeled boxes and retest tracking 10-factor signal fusion requiring 4+ confirmations for accuracy Signal cooldown system (12-bar minimum) preventing overlap Enhanced dashboard displaying 15 real-time metrics Winter Ice Blue theme with arctic color palette The proprietary elements include the VWAP ribbon calculation using dynamic multipliers based on market volatility (EMA of 4 × stdev / EMA × 21), supply/demand zone management with automatic retest tracking and dashed boundaries, multi-factor signal scoring weighting 10 confirmation factors with strict 4+ requirement and 55% threshold, and visual integration maintaining chart readability while providing comprehensive SMC intelligence. ## How Components Work Together The indicator's value comes from how its modules interact: Data Flow: VWAP engine calculates session and weekly VWAP with dynamic volatility-based multipliers Ribbon system creates 4 levels each side with percentage-based offsets Trend detector analyzes price position relative to VWAP for line coloring Supply/Demand detector scans for reversal patterns with 1.8x body multiplier FVG scanner identifies gaps with ATR-based minimum size requirements Structure analyzer tracks swing points using pivot detection Order Block system detects institutional footprints with volume multiplier Signal fusion engine aggregates 10 factors (RSI, MACD, Stochastic, Volume, Fakeout, EMA, VWAP, Band Extremes, Liquidity, Price Action) Cooldown tracker prevents signal overlap by enforcing 12-bar minimum spacing Dashboard consolidates all metrics into 15-row real-time intelligence panel Integration Logic: Each module feeds into a unified signal and zone system: Buy/Sell signals require 4+ confirmations from 10 factors with 55% threshold Supply/Demand zones track retests and display R1, R2, R3 labels FVG/IVFG boxes show colored labels at edges for clear identification Structure labels (HH/HL/LH/LL) appear only at confirmed swing points BOS labels use gold color with tiny size to distinguish from swing labels VWAP line changes color based on trend (blue=bullish, red=bearish, white=neutral) Dashboard updates signal power, confirmations, VWAP band status in real-time Ribbon bands use gradient transparency (85%, 75%, 65%) for depth perception Why This Integration Matters: A standard VWAP indicator shows bands. This indicator shows whether price is in accumulation or distribution zones, where institutional order blocks exist, which Fair Value Gaps remain unfilled, and whether multiple factors confirm the signal. The multi-dimensional analysis separates this from simple band tools that display data without synthesis. ## Core Functionality This indicator addresses the challenge of identifying institutional activity and market structure using price and volume data available on TradingView. Most traders either use external SMC platforms or ignore institutional flow entirely. This script brings SMC intelligence directly to your chart. What This Script Does: Calculates dynamic VWAP ribbons with 4 levels above and below (8 total zones) Colors VWAP core line based on trend (blue/red/white) Creates gradient ribbon fills with enhanced transparency (85%, 75%, 65%) Detects supply zones (bearish reversal patterns with 1.8x body multiplier) Detects demand zones (bullish reversal patterns with 1.8x body multiplier) Tracks zone retests and displays R1, R2, R3 labels Identifies bullish FVG (Fair Value Gaps) with blue "FVG" labels Identifies bearish IVFG (Inverse Fair Value Gaps) with red "IVFG" labels Labels market structure: HH (Higher High), HL (Higher Low), LH (Lower High), LL (Lower Low) Detects Break of Structure (BOS) with gold labels Creates SMC Order Blocks with large labeled boxes Fuses 10 confirmation factors into signal score Generates Buy/Sell signals requiring 4+ confirmations and 55% threshold Enforces 12-bar cooldown to prevent signal overlap Displays 15-row dashboard with comprehensive metrics ## Technical Architecture ### VWAP Ribbon Band System The VWAP ribbon is the core trend and support/resistance engine: VWAP Calculation: Session VWAP = ta.vwap(hlc3) - Standard volume-weighted average price Weekly VWAP = Cumulative (hlc3 × volume) / Cumulative volume, reset weekly Dynamic Multiplier = EMA(4 × stdev(hlc3, 21) / EMA(hlc3, 21), 84) × 21 Ribbon Levels: Blue Bands (Support) - vwapDown1 through vwapDown4 Red Bands (Resistance) - vwapUp1 through vwapUp4 Offset Calculation = VWAP ± (close × 0.01 × dynamicMultiplier × level) Level Multipliers - 1x, 2x, 3x, 4x for inner to outer bands Trend-Colored VWAP Core: Blue - Price above VWAP AND close > close (bullish momentum) Red - Price below VWAP AND close < close (bearish momentum) White - Neutral or transitioning Glow Effect - 6px width with 60% transparency overlay Gradient Transparency: Inner Zones - 85% transparency (brightest, closest to VWAP) Middle Zones - 75% transparency (medium visibility) Outer Zones - 65% transparency (darkest, farthest from VWAP) ### Supply/Demand Zone Detection Supply Zone Formation (Bearish Reversal): Current candle: close < open (bearish) Previous candle: close > open (bullish) Body size: current body >= 1.8 × previous body High breakout: high > high ATR filter: body > ATR(14) × 0.3 Volume confirmation: volume > SMA(volume, 20) × 1.2 Zone drawn around previous candle with dashed line at top Demand Zone Formation (Bullish Reversal): Current candle: close > open (bullish) Previous candle: close < open (bearish) Body size: current body >= 1.8 × previous body Low breakout: low < low ATR filter: body > ATR(14) × 0.3 Volume confirmation: volume > SMA(volume, 20) × 1.2 Zone drawn around previous candle with dashed line at bottom Retest Tracking: Supply retest: high >= zone bottom AND high <= zone top AND close < zone bottom Demand retest: low <= zone top AND low >= zone bottom AND close > zone top Labels: R1, R2, R3 displayed at retest locations Max zones: 8 active zones (configurable 3-15) ### Fair Value Gap (FVG) Detection Bullish FVG (Blue "FVG" Label): Gap calculation: low - high Minimum size: gap > ATR(14) × 0.3 Confirmation: close > open AND close > open Box drawn from high to low Label positioned at left edge of box Max age: 50 bars (configurable 20-200) Bearish IVFG (Red "IVFG" Label): Gap calculation: low - high Minimum size: gap > ATR(14) × 0.3 Confirmation: close < open AND close < open Box drawn from high to low Label positioned at left edge of box Max age: 50 bars (configurable 20-200) ### Market Structure Analysis Swing Point Detection: Uses ta.pivothigh() and ta.pivotlow() with 8-bar lookback (configurable 5-30) HH (Higher High) - Current swing high > previous swing high (blue label, tiny size) HL (Higher Low) - Current swing low > previous swing low (blue label, tiny size) LH (Lower High) - Current swing high < previous swing high (red label, tiny size) LL (Lower Low) - Current swing low < previous swing low (red label, tiny size) Break of Structure (BOS): Bullish BOS - Close > previous swing high AND close <= previous swing high Bearish BOS - Close < previous swing low AND close >= previous swing low Label Color - Gold (#FFD700) with black text for distinction Label Size - Tiny (smaller than swing labels) Cooldown - 10 bars minimum between BOS signals ### SMC Order Blocks Bullish Order Block: Current candle: close > open (bullish) Previous candle: close < open (bearish) Low breakout: low < low Volume: volume > SMA(volume, 20) × 1.5 Box drawn around previous candle with "OB" label Color: Ice Blue (#00D4FF) with 88% transparency Bearish Order Block: Current candle: close < open (bearish) Previous candle: close > open (bullish) High breakout: high > high Volume: volume > SMA(volume, 20) × 1.5 Box drawn around previous candle with "OB" label Color: Crimson Red (#DC143C) with 88% transparency ### 10-Factor Signal Fusion System The signal engine aggregates multiple confirmation factors with specific weights: Factor 1: RSI Momentum (15% weight): RSI(14) < 30 = Oversold (+0.15) RSI(14) > 70 = Overbought (-0.15) Bullish divergence: RSI rising while price falling (+0.10) Bearish divergence: RSI falling while price rising (-0.10) Factor 2: MACD Crossover (15% weight): MACD line crosses above signal line (+0.15) MACD line crosses below signal line (-0.15) MACD bullish + histogram rising (+0.10) MACD bearish + histogram falling (-0.10) Factor 3: Stochastic (12% weight): Stochastic K < 20 = Oversold (+0.12) Stochastic K > 80 = Overbought (-0.12) K crosses above D below 50 (+0.10) K crosses below D above 50 (-0.10) Factor 4: Volume Confirmation (15% weight): High volume + bullish candle (+0.15) High volume + bearish candle (-0.15) Volume > threshold + bullish (+0.08) Volume > threshold + bearish (-0.08) Factor 5: Fakeout/Pinbar (15% weight): Bullish pinbar + mother bar break (+0.15) Bearish pinbar + mother bar break (-0.15) Factor 6: EMA Trend Alignment (18% weight): EMA 8 > 21 > 50 + price above EMA 8 (+0.18) EMA 8 < 21 < 50 + price below EMA 8 (-0.18) EMA 8 crosses above EMA 21 (+0.12) EMA 8 crosses below EMA 21 (-0.12) Factor 7: VWAP Ribbon Position (15% weight): Price above both session and weekly VWAP (+0.15) Price below both session and weekly VWAP (-0.15) Bounce from blue band (vwapDown1) (+0.12) Rejection from red band (vwapUp1) (-0.12) Factor 8: VWAP Band Extremes (10% weight): Deep blue band bounce (vwapDown3) (+0.10) Deep red band rejection (vwapUp3) (-0.10) VWAP crossover (+0.08) VWAP crossunder (-0.08) Factor 9: Liquidity Sweep (10% weight): Low sweep (price breaks below swing low then closes above) (+0.10) High sweep (price breaks above swing high then closes below) (-0.10) Factor 10: Price Action Pattern (12% weight): Bullish engulfing (+0.12) Bearish engulfing (-0.12) Hammer pattern (+0.08) Shooting star pattern (-0.08) ### Signal Generation Logic Buy Signal Requirements: Signal score >= 0.55 (55% threshold) Minimum 4 positive factors confirmed 12 bars since last buy signal 12 bars since last sell signal (prevents overlap) Sell Signal Requirements: Signal score <= -0.55 (55% threshold) Minimum 4 negative factors confirmed 12 bars since last sell signal 12 bars since last buy signal (prevents overlap) Signal Display: Buy Signal - "❄ BUY" label below bar, ice blue background, white text, normal size Sell Signal - "❄ SELL" label above bar, crimson red background, white text, normal size No Overlap - Dual cooldown system ensures clean chart presentation ## Complete Configuration Reference ### Display Settings Show Winter Dashboard (default: true) Dashboard Position (default: Top Right) - Top Left/Top Right/Bottom Left/Bottom Right Winter Ice Background (default: true) Background Mode (default: Aurora) - Aurora/Blizzard/Frost/Deep Freeze/Off Background Transparency (default: 92, range: 80-98) Color Candles (default: true) - Ice theme candle coloring ### SMC Order Blocks Enable Order Blocks (default: true) Lookback Period (default: 20, range: 10-100) Volume Multiplier (default: 1.5, range: 1.0-3.0) Max Active OBs (default: 3, range: 1-10) Box Opacity (default: 90, range: 70-98) ### SMC Fair Value Gaps Enable FVG Detection (default: true) Min Size (ATR %) (default: 0.3, range: 0.1-2.0) Max Age (bars) (default: 50, range: 20-200) Max Active FVGs (default: 5, range: 1-15) ### SMC Liquidity Analysis Enable Liquidity Zones (default: true) Lookback Period (default: 20, range: 10-50) Show Sweep Signals (default: true) Sweep Tolerance % (default: 0.1, range: 0.05-0.5) ### Seasonality Zones Enable Seasonality (default: true) Winter Zone (Dec-Feb) (default: true) Spring Zone (Mar-May) (default: true) Summer Zone (Jun-Aug) (default: false) Autumn Zone (Sep-Nov) (default: false) ### Winter Band System Enable Winter Bands (default: true) VWAP Bands (Thick with Glow) (default: true) Fast EMA (default: 8, range: 3-20) Mid EMA (default: 21, range: 10-50) Slow EMA (default: 50, range: 20-100) Long EMA (default: 200, range: 100-300) ### Volume Intelligence Enable Volume Analysis (default: true) Volume MA Length (default: 20, range: 5-50) High Volume Threshold (default: 2.0, range: 1.5-5.0) Whale Threshold (default: 2.5, range: 1.5-5.0) Institutional Threshold (default: 4.0, range: 2.5-8.0) ### Fakeout Detection Enable Fakeout Signals (default: true) Mother Bar Lookback (default: 5, range: 2-20) Pinbar Wick Ratio (default: 1.5, range: 1.0-3.0) ### Winter Arrow Signals Enable Winter Arrows (default: true) Long Threshold (default: 0.55, range: 0.3-0.9) - Higher = fewer, more accurate Short Threshold (default: 0.55, range: 0.3-0.9) - Higher = fewer, more accurate Signal Cooldown (bars) (default: 12, range: 8-30) - Prevents overlap ### Supply/Demand Zones Enable Supply/Demand Zones (default: true) Zone Body Multiplier (default: 1.8, range: 1.2-4.0) - Lower = more zones Max Active Zones (default: 8, range: 3-15) Show BOS Labels (default: true) Show LL/HH Labels (default: true) Swing Lookback (default: 8, range: 5-30) ## Winter Arrow Dashboard 15-row comprehensive intelligence panel with arctic ice theme: Header: "❄ WINTER ARROW {JOAT} ❄" with frost white text on arctic dark background Core Metrics: Signal Power - 0-10 scale with strength classification (ULTRA/EXTREME/VERY STRONG/STRONG/MODERATE/WEAK) Signal - Current signal direction (❄ LONG / ❄ SHORT / —) Confirmations - Bull factors / Bear factors count EMA Trend - Ribbon alignment (❄ BULLISH / ❄ BEARISH / NEUTRAL) VWAP Position - Price relative to VWAP (ABOVE / BELOW / AT) VWAP Band - Current band zone (RED ZONE / BLUE ZONE / ABOVE MID / BELOW MID) Volume - Classification (❄ INSTITUTIONAL / ❄ WHALE / HIGH / LOW / NORMAL) RSI (14) - Value and status (OVERBOUGHT / OVERSOLD / BULLISH / BEARISH) MACD - Direction (❄ BULLISH / ❄ BEARISH) Stochastic - Value and status (OVERBOUGHT / OVERSOLD / BULLISH / BEARISH) Season - Current season (❄ WINTER / 🌸 SPRING / ☀ SUMMER / 🍂 AUTUMN) ATR - Volatility percentage Change - Price change percentage Status - Indicator status (❄ ACTIVE) ## Visual Design Winter Ice Blue Theme: Arctic Black (#0A1628) - Deep arctic night background Ice Blue (#00D4FF) - Bright ice blue for bullish elements Crimson Alert (#DC143C) - Crimson red for bearish elements Winter Cyan (#00CED1) - Winter cyan for secondary elements Frost White (#FFFFFF) - Pure white for text and highlights Winter Gold (#FFD700) - Gold for BOS labels Aurora Green (#00FF88) - Northern lights green for strong bullish Label Hierarchy: Buy/Sell Signals - size.normal (most prominent) Supply/Demand Labels - size.small with emojis (🔻 SUPPLY / 🔺 DEMAND) FVG/IVFG Labels - size.small at box edges Order Block Labels - size.small centered in boxes Structure Labels - size.tiny (HH/HL/LH/LL) BOS Labels - size.tiny gold with black text Ribbon Visualization: Blue Ribbons - 3 gradient zones below VWAP (85%, 75%, 65% transparency) Red Ribbons - 3 gradient zones above VWAP (85%, 75%, 65% transparency) VWAP Core - Trend-colored thick line with glow (blue/red/white) Weekly VWAP - Gold thick line with glow ## Usage Considerations Asset Class Compatibility: Works with any TradingView symbol including crypto, forex, futures, indices, commodities, and stocks. Volume-based features require assets with reliable volume data. Timeframe Selection: Signal fusion works on any timeframe. Lower timeframes (1m-15m) may generate more signals but require higher threshold. Higher timeframes (1H+) provide cleaner signals with better accuracy. Adjust threshold and cooldown accordingly. Data Requirements: VWAP calculations stabilize after approximately 20 bars. Signal fusion requires sufficient history for RSI, MACD, and Stochastic calculations (minimum 26 bars for MACD). Recommended Settings by Timeframe: | Timeframe | Threshold | Cooldown | Max Zones | Swing Lookback | |-----------|-----------|----------|-----------|----------------| | 1m-5m | 0.60 | 15 bars | 5 | 5 bars | | 15m-1H | 0.55 | 12 bars | 8 | 8 bars | | 4H-1D | 0.50 | 10 bars | 10 | 10 bars | | Weekly+ | 0.45 | 8 bars | 8 | 12 bars | ## Limitations and Considerations VWAP ribbon accuracy depends on volume quality and market liquidity Supply/Demand zones use price and volume proxies, not actual order flow data Signal scores are probabilistic indicators, not guarantees of price movement FVG/IVFG boxes represent historical gaps, not guaranteed fill zones Structure labels depend on pivot detection which has inherent lag Signal fusion assumes factor independence which may not hold during extreme events Cooldown system prevents rapid signals but may miss quick reversals Dashboard metrics are confluence-based tools, not standalone entry triggers Past performance of signals does not guarantee future results This indicator is designed as a decision support framework. It does not guarantee profitable trades, remove risk, or replace your own analysis and risk management process. All trading involves substantial risk of loss. ## Technical Implementation Notes Pine Script v6 compliant with all latest syntax features All signals use barstate.isconfirmed to prevent repainting Arrays manage active zones with automatic cleanup Resource limits respected: max_lines_count=500, max_labels_count=500, max_boxes_count=500 Safe division functions prevent divide-by-zero errors Efficient calculation patterns for real-time performance Proper na() function usage throughout Global scope compliance for all plot/plotshape/bgcolor functions ## Alert System The script includes comprehensive alert conditions: Winter Arrow Long Signal - Buy signal with strength classification Winter Arrow Short Signal - Sell signal with strength classification Alert messages include ticker symbol, signal strength (0-10 scale), and strength classification (ULTRA STRONG/VERY STRONG/STRONG/MODERATE/WEAK). ## Disclaimer This script is provided for informational and educational purposes only and does not constitute financial advice. Trading involves substantial risk of loss. You are solely responsible for your own trading decisions. Past results shown on any chart do not guarantee future performance. Always conduct your own analysis and use appropriate risk management. The indicator displays historical analysis and real-time calculations based on price and volume data. It does not predict future price movements. Signals are confluence-based suggestions that require confirmation through your own analysis. No trading system is perfect, and all signals can produce false positives. Use proper position sizing, stop losses, and risk management regardless of signal strength. Never risk more than you can afford to lose. The developer assumes no responsibility for financial losses incurred through the use of this indicator. - Made with passion by officialjackofalltrades
Indicatore Pine Script®
di officialjackofalltrades
Reversal Zones S/R & Liquidity Dashboard [@Ash_TheTrader]Tired of drawing endless support and resistance lines until your chart looks like a messy laser grid? The Reversal Zones S/R & Liquidity Dashboard is an institutional-grade scalping tool that does the heavy lifting for you. It uses advanced math to automatically find the exact, high-probability levels where the big players place their orders, while completely hiding the useless noise. Here is exactly how to trade with it, step-by-step: Step 1: Read the Dashboard (The Sniper Hub) Before you enter a trade, glance at the dashboard in the corner of your chart. • Active Session: Tells you who is driving the market (NY, London, Asian). It will flash an Orange ⚠️ exactly 15 minutes before a session opens or closes to warn you of sudden volatility. • LTF Trend & Momentum: Tells you if the real-time physical momentum of the market is Bullish or Bearish. Trade with the flow, not against it. • Live Targets: Tells you exactly how many ticks/points away your next Support and Resistance targets are. Step 2: Hunt for High "Power Scores" (1 to 10) Every zone on the chart is graded from 1 to 10 based on how many times price has historically respected it. • Weak Zones (1/10 to 3/10): These are faint, transparent boxes. They are minor speedbumps. • Reversal Kill Zones (7/10 to 10/10): These are deep, bold, bright boxes. These are highly respected, mathematically proven walls. This is where you look for your sniper entries. Step 3: Watch the Heatmap Ignite 🔥 When price enters a zone and stalls, liquidity is building up. Keep your eyes on the box. As more candles touch the zone, the box will physically change color and a 🔥 icon will appear next to the power score. This visual warning tells you that massive liquidity is trapped, and a violent breakout or aggressive reversal is imminent. Step 4: Let the Auto-Purge Clean Your Chart You don't need to manually delete old lines anymore. The moment a candle violently smashes and closes through a liquidity zone, the script instantly deletes the box from your screen. You will only ever see the levels that matter right now. 💡 Pro-Trader Tips: • Smart Alerts: Don't stare at the charts all day. Set up a TradingView alert with this script to ping your phone only when price hits a High-Power Zone (e.g., 5/10 or higher). • Light Mode Users: If you use a white chart background, open the indicator settings and change the "Chart Box Text Color" to black for perfect visibility. Powered by @Ash_TheTrader
Indicatore Pine Script®
di Ash_TheTrader
Self-Playing Snake (For Fun) [UAlgo]Self Playing Snake is a lightweight mini game built entirely in Pine Script for entertainment and UI experimentation. It renders a 15 by 15 grid using TradingView tables, spawns a snake and a food item, then drives the snake automatically with a simple path selection algorithm. The game updates on the last bar, so it behaves like a small live widget on the chart while keeping the price chart itself visually clean. The script is intentionally simple and fun. It demonstrates how Pine can be used for stateful simulations, table based rendering, and basic decision making logic without requiring external inputs or manual controls. The snake continuously tries to reach food, grows when it eats, tracks score and high score, and resets automatically when it can no longer make a valid move. 🔹 Features 1) Table Rendered Game Board The game board is drawn using a table with fixed dimensions. Each cell represents a coordinate on the grid, and the script updates cell background color and emoji text to visualize the snake body, the snake head, and the food. This makes the game visible directly on the chart without using traditional plotting. 2) Persistent Game State with Custom Types The script uses two custom types: Point stores integer x and y coordinates. GameState stores the snake body as an array of Points, the food position, grid size, score, high score, and a game over flag. A single persistent GameState variable holds the full game memory across bars. 3) Automatic Food Spawning with Collision Avoidance Food spawns at a random grid coordinate. The script prevents food from spawning on the snake body by retrying up to 100 times. This keeps gameplay consistent as the snake grows and occupies more space. 4) Greedy AI Movement Logic Each tick, the snake evaluates four possible moves: up, down, left, right. It rejects moves that would collide with walls or the snake’s body, then chooses the valid move that minimizes Manhattan distance to the food. This creates a simple, deterministic style of behavior that looks intelligent in open space while still being vulnerable to self trapping as the snake becomes long. 5) Game Loop with Growth and Scoring On each update step: A new head point is added to the front of the snake. If the head reaches the food, score increases and the snake grows by keeping its tail. If the head does not reach the food, the tail is removed so snake length stays constant. High score is updated whenever a new best is reached. 6) Automatic Reset on Game Over If no valid move exists, the state is marked game over. On the next tick, the game resets automatically by restoring the initial snake shape, resetting score, and spawning new food. This keeps the widget running indefinitely without user interaction. 7) Minimal Chart Impact The script does not draw traditional overlays on the price chart. It includes a fully transparent plot call only to satisfy indicator output requirements while keeping the chart clean. 🔹 Calculations 1) Board Representation and Coordinates The grid uses integer coordinates from 0 to gridSize minus 1 in both x and y directions. Each Point represents one cell: type Point int x int y The board is rendered by looping through all cells and deciding what to draw in each position. 2) Snake Body Membership Check The script checks whether a coordinate is occupied by the snake by scanning the snake array: method isBody(GameState state, int x, int y) => bool found = false if not na(state.snake) and state.snake.size() > 0 for i = 0 to state.snake.size() - 1 p = state.snake.get(i) if p.x == x and p.y == y found := true break found This method is used both for collision checks and for rendering. 3) Manhattan Distance for AI Scoring The AI uses Manhattan distance to estimate how close a candidate move is to food: method dist(Point p1, Point p2) => math.abs(p1.x - p2.x) + math.abs(p1.y - p2.y) This favors direct horizontal or vertical progress toward the target. 4) Food Spawning Logic Food spawns randomly inside the grid, retrying if it lands on the snake: int newX = int(math.random(0, state.gridSize - 1)) int newY = int(math.random(0, state.gridSize - 1)) int attempts = 0 while state.isBody(newX, newY) and attempts < 100 newX := int(math.random(0, state.gridSize - 1)) newY := int(math.random(0, state.gridSize - 1)) attempts += 1 state.food := Point.new(newX, newY) 5) Reset Initialization The reset routine clears the snake and creates a small starting body, resets score, clears game over, and spawns food: state.snake.clear() state.snake.push(Point.new(7, 7)) state.snake.push(Point.new(7, 8)) state.score := 0 state.isGameOver := false state.spawnFood() 6) AI Next Move Selection The AI evaluates four directional moves. It rejects collisions with walls or body and chooses the valid move with the smallest distance: Point head = state.snake.first() array directions = array.from( Point.new(0, -1), Point.new(0, 1), Point.new(-1, 0), Point.new(1, 0) ) float minDistance = 1000.0 Point bestMove = na for i = 0 to directions.size() - 1 Point dir = directions.get(i) int nextX = head.x + dir.x int nextY = head.y + dir.y bool isWallHit = nextX < 0 or nextX >= state.gridSize or nextY < 0 or nextY >= state.gridSize bool isBodyHit = state.isBody(nextX, nextY) if not isWallHit and not isBodyHit Point potentialMove = Point.new(nextX, nextY) float d = potentialMove.dist(state.food) if d < minDistance minDistance := d bestMove := potentialMove If bestMove remains na, there is no safe move and the game ends. 7) Tick Update Rules The tick method controls the game loop: If game over, reset. Else decide next move. If no move, set game over. Else add head, then check food: If food eaten, increment score, update high score, and spawn new food. If not eaten, remove tail. 8) Rendering Logic with Tables On the last bar, the script renders each cell: Food cell draws an apple emoji and red tint. Snake body draws a green square emoji. Snake head draws a different emoji and brighter tint. It also renders a small UI table that displays the current score and best score. The script updates continuously on the last bar, making it behave like a live widget.
Indicatore Pine Script®
di UAlgo
Adaptive Entropy Trend [QuantAlgo]🟢 Overview Adaptive Entropy Trend is a trend-following indicator built on Shannon information theory rather than conventional price averaging. It quantifies the statistical disorder of recent log returns to determine whether the market is in a directional regime or a random one, then feeds this entropy reading into every layer of the system simultaneously, helping traders identify directional shifts that are validated by both low-entropy momentum conditions and genuine volatility expansion across different timeframes and markets. 🟢 How It Works The foundation of the indicator is a per-bar entropy calculation built from the distribution of log returns over the lookback window. Log returns are computed and their range is divided into equal-width histogram bins: logReturn = math.log(close / close ) minReturn = ta.lowest(logReturn, lookbackLen) maxReturn = ta.highest(logReturn, lookbackLen) returnRange = maxReturn - minReturn Each historical return within the lookback is assigned to a bin, building a frequency distribution. Shannon entropy is then calculated from the probability of each bin, measuring how uniformly returns are spread across the range: probability = array.get(binCounts, i) / lookbackLen if probability > 0 entropy := entropy - probability * math.log(probability) / math.log(2) A uniform distribution produces maximum entropy, reflecting a chaotic, non-directional market. A concentrated distribution produces low entropy, reflecting a market where returns are clustering in a consistent direction. The raw entropy is normalized against the theoretical maximum for the bin count to produce a stable 0-1 score: normalizedEntropy = maxEntropy > 0 ? entropy / maxEntropy : 0.5 This score is then wired directly into the EMA smoothing factor. Higher entropy lengthens the effective period of the EMA, insulating it from noise. Lower entropy shortens it, allowing the EMA to track price closely during genuine trends: adaptiveAlpha = 2.0 / (lookbackLen * (0.3 + normalizedEntropy * 1.4) + 1.0) adaptiveEma := na(adaptiveEma) ? close : adaptiveEma + adaptiveAlpha * (close - adaptiveEma) The same entropy reading drives band width through an inverted trend strength factor. Unlike volatility-based bands that widen during noise, these bands widen specifically during trending conditions and tighten during choppy ones: trendStrength = 1.0 - normalizedEntropy fastBandWidth = atr * fastMultiplier * (0.5 + trendStrength) slowBandWidth = atr * slowMultiplier * (0.5 + trendStrength) Finally, trend state is determined when price breaks beyond the inner bands, and transitions are tracked for alert conditions: if close > innerUpper trendDirection := 1 else if close < innerLower trendDirection := -1 trendTurnedBullish = trendDirection == 1 and trendDirection != 1 trendTurnedBearish = trendDirection == -1 and trendDirection != -1 This creates a self-regulating trend system where the EMA baseline, the trigger threshold, and the visual envelope all adapt together from the same entropy source, rather than using a fixed center with adaptive edges or vice versa. 🟢 Signal Interpretation ▶ Bullish Trend (Price Above Inner Upper Band, Green): When price closes above the inner upper band, the indicator switches to bullish mode with bullish coloring across all visual elements = Confirmed uptrend signal for trend-following long positions. Because the inner band expands in low-entropy trending conditions, a bullish confirmation in a genuinely directional market requires a more meaningful breakout than in a noisy one. The trend remains bullish until price breaks below the inner lower band, allowing traders to stay positioned through normal pullbacks that remain within the band range. ▶ Bearish Trend (Price Below Inner Lower Band, Red): When price closes below the inner lower band, the indicator switches to bearish mode with bearish coloring throughout all visual elements = Confirmed downtrend signal for short positions or long exit signals. The adaptive band floor ensures the trigger threshold in choppy, high-entropy markets is tighter, reducing the risk of false breakdowns on thin directional moves. The trend remains bearish until price breaks above the inner upper band. ▶ Neutral Zone (Price Between Inner Bands): When price trades between the inner upper and lower bands, the indicator holds its previous trend direction = Continuation of existing trend during consolidation or normal volatility retracements. This prevents whipsaws during sideways action by requiring price to make a statistically meaningful move beyond the entropy-scaled band boundaries rather than reacting to minor crosses of the adaptive EMA centerline. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced trend detection for swing trading on 4-hour and daily charts, "Fast Response" delivers quicker trend signals for intraday trading on 1-minute to 1-hour charts, and "Smooth Trend" focuses on major trend changes for position trading on daily to weekly timeframes. ▶ Built-in Alerts: Three alert conditions enable automated monitoring of trend changes without constant chart watching. "Bullish Trend Signal" triggers when the indicator switches to bullish mode after price breaks above the inner upper band, alerting for potential long entries. "Bearish Trend Signal" activates when the indicator switches to bearish mode after price breaks below the inner lower band, signaling potential short entries or long exits. "Trend Direction Changed" provides a combined alert for any trend transition regardless of direction, allowing traders to monitor both bullish and bearish opportunities with a single alert setup. ▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and aesthetic preferences, with coordinated bullish, bearish, and neutral color schemes applied across all indicator elements. Inner and outer band fills create a two-layer gradient envelope around the adaptive EMA, with the inner zone between the two bands rendered slightly more transparent than the outer zone to preserve natural depth, both controlled by a single fill transparency input (0-100%) so the visual weight of the envelope can be adjusted without disrupting the gradient relationship. Optional bar coloring tints price bars with trend-appropriate colors during bullish and bearish periods, enabling instant visual confirmation of trend state across multiple timeframes without switching between chart and indicator panels.
Indicatore Pine Script®
di QuantAlgo
2
Block-Based Visual Logic Builder FrameworkThis strategy demonstrates a modular, block-based approach to strategy design in Pine Script. While TradingView does not support true drag-and-drop strategy builders, this script is structured to simulate a visual logic builder by separating trading logic into independent, configurable blocks. Each block represents a conceptual component (trend, momentum, volatility, session, and risk), allowing users to enable, disable, or modify individual modules for testing and experimentation. Visual Logic Builder Concept The strategy is organized into distinct logic blocks: Session Block - controls when trades are allowed Trend Block - defines directional bias Momentum Block - confirms directional strength Volatility Block - filters for sufficient market movement Risk Block - standardized ATR-based stop and target logic This structure mirrors how visual trading systems and drag-and-drop interfaces organize logic into reusable components. How It Works Market conditions are evaluated through separate logic blocks. Each block can be enabled or disabled using inputs. Final entry decisions are based on the combined output of active blocks. All exits are managed through a centralized risk block using ATR-based stops and fixed risk-reward. Purpose This script is intended as a structural template for building and testing modular trading systems. It emphasizes clarity, execution realism, and repeatable logic rather than optimization or signal density. Usage Notes Results depend on symbol, timeframe, volatility regime, and selected block settings. Users are encouraged to experiment with different combinations of blocks and validate behavior across multiple markets before relying on any configuration.
Strategia Pine Script®
di AIScripts
StO Price Action - Gold Timings | LiquidityShort Summary - Identifies statistically 5-minute candles (Source: Oanda, M5) - Classifies them into four intensity levels - Highlights timing and liquidity concentrations Full Description Method - Analyzes one year of 5-minute candle data - Compares each candle to its previous candle - Selects candles with unusually large differences - Uses either candle range or volume as data source - Groups selected candles into four levels - All levels represent above-average activity Overview - Designed to detect abnormal intraday expansion - Highlights moments of aggressive participation - Works as a timing and liquidity mapping tool - Can be based on volatility (range) or participation (volume) - Helps identify recurring high-impact periods - Level Structure - 0: Highest expansion or volume spikes - 1: Very strong expansion - 2: Strong expansion - 3: Elevated but moderate expansion - Each level can be individually enabled or hidden - Each level has customizable color coding Usage - Choose between Range or Volume as primary metric - Enable only the intensity levels relevant to your strategy - Use levels to identify high-liquidity windows - Combine with structure, liquidity sweeps, or order blocks - Observe clustering behavior across sessions Future Bars - Projects statistical timing to next day - Can hide the current developing period - Allows small hour shifts to adjust session alignment Notes - Does not predict direction, only intensity - Best used as timing confirmation, not entry signal - Range mode emphasizes volatility - Volume mode emphasizes participation - Particularly useful for session opens and news-driven markets
Indicatore Pine Script®
di sto_svc
StO Price Action - OrderblockShort Summary - Displays bullish and bearish Order Blocks on the chart - Highlights active, mitigated, and tapped Order Blocks - Designed for structure- and price-action-based trading Full Description Overview Identifies Order Blocks using pivot-based market structure Bullish Order Blocks originate from down candles before impulsive moves up Bearish Order Blocks originate from up candles before impulsive moves down Order Blocks are visualized as price zones with optional fill and borders Mitigated Order Blocks can be kept visible as historical context Consequent Encroachment (CE) line marks the 50% level of the block Handling Multi-timeframe capable Order Block detection Clear visual distinction between bullish and bearish zones Optional highlighting when price taps an Order Block Supports clean chart layouts with customizable colors and styles Designed to work with discretionary and systematic approaches Usage Select the timeframe used for Order Block detection Adjust pivot lookback to control sensitivity Enable or disable historical (mitigated) Order Blocks Use highlight-on-touch to spot active interactions Apply filters such as minimum body size, ATR displacement or EMA trend Notes Order Blocks do not predict direction, they mark areas of interest Once detected, Order Blocks remain static and do not repaint Higher pivot lengths produce fewer but stronger Order Blocks ATR and body-percentage filters reduce noise in ranging markets Best combined with market structure, liquidity or entry confirmation tools
Indicatore Pine Script®
di sto_svc
StO Price Action - Buy | Sell Side LiquidityShort Summary - Visualizes Buy-Side and Sell-Side Liquidity levels - Highlights resting liquidity above highs and below lows - Designed for price-action and liquidity-based trading Full Description Overview - Detects liquidity pools using pivot-based price structure - Buy-Side Liquidity (BSL) forms above relative highs - Sell-Side Liquidity (SSL) forms below relative lows - Liquidity levels represent areas where stop orders are likely resting - Levels are extended forward to visualize potential draw-on-liquidity zones - Optional historical liquidity tracking for contextual analysis Handling - Focuses on price-driven liquidity rather than indicators - Supports BSL only, SSL only or combined visualization - Uses configurable pivot lookback to define significant swings - Distinguishes active liquidity from historical liquidity - Clean, minimal chart overlay with customizable styles Usage - Select which liquidity side to display (BSL, SSL or both) - Adjust pivot lookback to control sensitivity - Configure line length and extension behavior - Enable history mode to keep older liquidity levels visible - Use liquidity levels as targets, reaction zones or confluence areas Notes - Liquidity levels do not predict direction, only attraction - Once plotted, levels remain static and do not repaint - Higher lookback values produce fewer but stronger levels - Best combined with market structure, entries, or rejection logic - Particularly effective around session highs and lows
Indicatore Pine Script®
di sto_svc
Relative Valuation Oscillator [QuantAlgo]🟢 Overview The Relative Valuation Oscillator identifies statistical price deviations from fair value using logarithmic price analysis and standard deviation bands. It calculates how far current price has deviated from its mean on a logarithmic scale, normalized by volatility, to generate a centered oscillator that highlights periods when price is statistically stretched above or below its historical average, helping traders identify potential mean reversion opportunities and extreme valuation conditions across different timeframes and markets. 🟢 How It Works The indicator's core methodology lies in its statistical approach to price valuation, where deviations are measured using logarithmic returns and normalized by standard deviation: log_price = math.log(close) mean_log_price = ta.sma(log_price, lookback_period) standard_deviation = ta.stdev(log_price, lookback_period) valuation_score = (log_price - mean_log_price) / standard_deviation First, the script converts price to logarithmic form to account for percentage-based price movements rather than absolute dollar changes, ensuring the indicator works consistently across different price levels and asset classes. Then, it calculates the mean log price over the specified lookback period to establish a baseline fair value reference: mean_log_price = ta.sma(log_price, lookback_period) Next, standard deviation measurement quantifies the typical volatility of log price around this mean, providing a statistical framework for defining normal versus extreme price behavior: standard_deviation = ta.stdev(log_price, lookback_period) The valuation score is then derived by measuring how many standard deviations the current log price sits from its mean, creating a normalized oscillator that fluctuates around zero: valuation_score = (log_price - mean_log_price) / standard_deviation Finally, threshold-based signal detection identifies extreme conditions when the valuation score exceeds user-defined standard deviation multiples: is_overvalued = valuation_score > threshold_mult is_undervalued = valuation_score < -threshold_mult This creates a statistical mean reversion system that identifies when price has deviated significantly from its historical average on a volatility-adjusted basis, providing traders with objective measurements of relative over or undervaluation. 🟢 Signal Interpretation ▶ Undervalued Zone (Below Negative Threshold): Oscillator falling below the negative threshold line indicates price has deviated significantly below its statistical mean = Potential long/buy opportunities for mean reversion strategies ▶ Overvalued Zone (Above Positive Threshold): Oscillator rising above the positive threshold line indicates price has deviated significantly above its statistical mean = Potential short/sell or profit-taking opportunities ▶ Fair Value Range (Between Thresholds): Oscillator remaining between positive and negative threshold lines indicates price is trading within normal statistical bounds. Within this range, the zero line acts as a directional filter: oscillator above zero but below the upper threshold suggests bullish trend/momentum with price trading above its statistical mean = Trend-following long positions can be maintained; oscillator below zero but above the lower threshold suggests bearish trend/momentum with price trading below its statistical mean = Trend-following short positions can be maintained. The oscillator can remain in these directional zones during sustained trends until mean reversion occurs, signaled by crosses back toward zero or transitions to the opposite extreme threshold. ▶ Zero Line Crosses: Oscillator crossing above zero indicates transition from below-average to above-average valuation, confirming shift to bullish momentum = Potential trend-following long entry; crossing below zero indicates transition from above-average to below-average valuation, confirming shift to bearish momentum = Potential trend-following short entry or long exit. These crosses can signal both the start of directional trends and early mean reversion from extreme conditions. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced sensitivity for swing trading on 4-hour and daily charts, generating signals at statistically significant deviations. "Fast Response" delivers more frequent signals for intraday trading on 5-minute to 1-hour charts, reacting quickly to short-term deviations with increased signal frequency. "Smooth Trend" focuses on major extremes for position trading on daily to weekly timeframes, filtering noise to identify only the most significant statistical outliers. ▶ Built-in Alerts: Five alert conditions enable automated monitoring of valuation extremes and transitions. "Overvalued Threshold Crossed" triggers when the oscillator crosses above the positive threshold, signaling potential overvaluation. "Undervalued Threshold Crossed" activates when the oscillator crosses below the negative threshold, signaling potential undervaluation. "Crossed Above Fair Value (0)" and "Crossed Below Fair Value (0)" provide alerts for zero line transitions, indicating shifts between above-average and below-average valuation. "Any Extreme Valuation" offers a combined alert for any threshold breach regardless of direction, allowing traders to monitor both extremes with a single alert setup. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, with distinct colors for overvalued, undervalued, and fair value conditions. Optional background highlighting with adjustable transparency (0-100%) tints the main chart background during extreme valuation periods, providing immediate visual context without requiring continuous oscillator monitoring. Optional overlay signals display small circle markers directly on the price chart above bars during overvaluation and below bars during undervaluation, allowing correlation of statistical extremes with specific price levels and candlestick patterns.
Indicatore Pine Script®
di QuantAlgo
Adaptive Kinetic Ribbon [QuantAlgo]🟢 Overview The Adaptive Kinetic Ribbon indicator synthesizes price velocity and volatility dynamics to identify trend direction, momentum strength, and acceleration phases across varying market conditions. It combines velocity-based momentum measurement, adaptive volatility weighting, dual-speed ribbon analysis, and acceleration-deceleration detection into a unified visual system that quantifies periods of sustained directional movement and momentum shifts, helping traders and investors identify trend continuation and reversal signals across various timeframes and asset classes. 🟢 How It Works The indicator's core methodology lies in its adaptive kinetic approach, where velocity and volatility components are calculated dynamically and then smoothed through an adaptive alpha mechanism. First, Velocity is measured to capture raw directional momentum by calculating the net price change over the lookback period: velocity = source - source This creates a momentum vector that quantifies how far and in which direction price has moved, providing the foundation for understanding trend strength and establishing whether the market is in a sustained directional phase. Then, Volatility is computed to evaluate price variability and market noise by analyzing the standard deviation of bar-to-bar price changes: volatility = ta.stdev(source - source , length) * mult The volatility sensitivity multiplier allows traders to adjust how responsive the indicator is to market noise, with higher values creating faster adaptation during volatile periods and lower values maintaining stability during choppy conditions. Next, Adaptive Alpha is calculated to create a dynamic smoothing coefficient that automatically adjusts based on the relationship between velocity and volatility: adaptive_alpha = math.abs(velocity) / (math.abs(velocity) + volatility) This alpha value ranges from 0 to 1, where values closer to 1 indicate strong, clear directional movement (high velocity relative to volatility), causing the indicator to respond quickly, while values closer to 0 indicate noisy, range-bound conditions (high volatility relative to velocity), causing the indicator to smooth more heavily and filter out false signals. Following this, the Kinetic Line is constructed using exponential smoothing with the adaptive alpha coefficient: var float kinetic_line = na kinetic_line := na(kinetic_line ) ? source : kinetic_line + adaptive_alpha * (source - kinetic_line ) This creates an adaptive moving average that automatically adjusts its responsiveness: during strong trends with clear velocity, it tracks price closely like a fast EMA; during choppy, volatile periods, it smooths heavily like a slow SMA, providing optimal trend identification across varying market regimes without manual parameter adjustment. Then, Ribbon Lines are generated by applying additional moving average smoothing to the kinetic line at two different speeds: ribbon_fast = ma(kinetic_line, ribbon_fast_length, ma_type) ribbon_slow = ma(kinetic_line, ribbon_slow_length, ma_type) The dual-ribbon structure creates a visual envelope around the kinetic line, where the fast ribbon responds quickly to kinetic changes while the slow ribbon provides trend confirmation, with crossovers between these ribbons generating primary trend reversal signals. Finally, Trend State and Acceleration are determined by analyzing the relative positioning and directional movement of the ribbon lines: trend_up = ribbon_fast > ribbon_slow acceleration = ribbon_fast > ribbon_fast ribbonColor = trend_up ? acceleration ? bullAccel : bullDecel : not acceleration ? bearAccel : bearDecel This creates a four-state classification system that distinguishes between bullish acceleration (uptrend strengthening), bullish deceleration (uptrend weakening), bearish acceleration (downtrend strengthening), and bearish deceleration (downtrend weakening), providing traders with nuanced momentum insights beyond simple bullish/bearish binary signals. 🟢 Signal Interpretation ▶ Bullish Acceleration (Bright Green): Fast ribbon above slow ribbon AND fast ribbon rising, indicating confirmed uptrend with building momentum = Strongest bullish condition, ideal for new long entries, adding to positions, or holding existing longs with confidence ▶ Bullish Deceleration (Dark Green): Fast ribbon above slow ribbon BUT fast ribbon falling, indicating uptrend intact but momentum weakening = Caution signal for longs, potential trend exhaustion developing, consider tightening stops or taking partial profits ▶ Bearish Acceleration (Bright Red): Fast ribbon below slow ribbon AND fast ribbon falling, indicating confirmed downtrend with building momentum = Strongest bearish condition, ideal for new short entries, exiting longs, or maintaining defensive positioning ▶ Bearish Deceleration (Dark Red): Fast ribbon below slow ribbon BUT fast ribbon rising, indicating downtrend intact but momentum weakening = Caution signal for shorts, potential trend exhaustion developing, prepare for possible reversal or consolidation ▶ Bullish Crossover: Fast ribbon crosses above slow ribbon, signaling trend reversal from bearish to bullish and initiation of new upward momentum phase = Primary buy signal, entry opportunity for trend-following strategies, exit signal for short positions ▶ Bearish Crossover: Fast ribbon crosses below slow ribbon, signaling trend reversal from bullish to bearish and initiation of new downward momentum phase = Primary sell signal, entry opportunity for short strategies, exit signal for long positions ▶ Ribbon Spread Width: Distance between fast and slow ribbons indicates trend strength and conviction, where wider spreads suggest strong, sustained directional movement with low reversal probability, while tight or converging ribbons indicate weak trends, consolidation, or impending reversal conditions ▶ Bar Color Alignment: When bar coloring is enabled, candlestick colors mirror the ribbon state providing immediate visual confirmation of momentum conditions directly on price action, eliminating the need to reference the indicator separately and enabling faster decision-making during active trading 🟢 Features ▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches: "Default" provides balanced trend identification suitable for swing trading on 4-hour and daily charts, "Fast Response" delivers heightened sensitivity optimized for intraday trading and scalping on 5-minute to 1-hour charts, and "Smooth Trend" offers conservative trend identification ideal for position trading and long-term analysis on daily to weekly charts. ▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend reversals and momentum transitions. "Bullish Crossover" triggers when the fast ribbon crosses above the slow ribbon, signaling the shift from downtrend to uptrend and the beginning of bullish momentum building. "Bearish Crossover" activates when the fast ribbon crosses below the slow ribbon, signaling the shift from uptrend to downtrend and the beginning of bearish momentum building. "Any Ribbon Crossover" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general trend reversal monitoring and ensuring no momentum shift goes unnoticed. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of acceleration versus deceleration states across various devices and screen sizes. Each preset uses distinct colors for the four momentum states (bullish acceleration, bullish deceleration, bearish acceleration, bearish deceleration) with proper visual hierarchy. Optional bar coloring with adjustable transparency provides instant visual context of current momentum state and trend direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess trend positioning and acceleration dynamics while analyzing price action patterns and support/resistance levels.
Indicatore Pine Script®
di QuantAlgo
2
Dynamic Support & Resistance V6The Dynamic Support & Resistance V6 is a lightweight, high-performance indicator designed to automatically identify and plot key market levels based on pivot price action. Instead of static lines, this script uses a dynamic array-based system. It tracks the most recent significant levels where price is likely to react. The script utilizes the ta.pivothigh and ta.pivotlow functions to detect structural turning points. Once a pivot is confirmed (based on your chosen lookback period). Draws an Extended Level: A line is projected from the pivot point to the current bar. Dynamic Management: It uses a FIFO (First-In-First-Out) logic to ensure only the most relevant maxLevels are displayed on your chart, keeping your workspace clean. Real-time Updates: Lines and labels automatically shift with each new bar to maintain a constant "right-edge" perspective. Key Features Customizable Pivot Lookback: Adjust the sensitivity to find minor intraday levels or major swing levels. Visual Price Labels: Optional price tags for quick reference on key zones. Support/Resistance Differentiation: Color-coded levels (defaulting to Green for Support and Red for Resistance). Optimized for Version 6: Built using the latest Pine Script™ v6 standards for better performance. How to Use Look for candles closing beyond the Resistance (Red) or Support (Green) lines. Use these levels as potential zones for "fakeouts" or rejections in confluence with your other entry triggers. Excellent for identifying logical Take Profit (TP) or Stop Loss (SL) zones based on recent market structure.
Indicatore Pine Script®
di gradsgold
2
Pinescript Custom Performance BoostThis small script is a custom function that works similarly to the built-in calc_bars_count and max_bars_back functions, but can be used far more flexibly and significantly reduces the required computation time of Pine Script scripts. The advantages over calc_bars_count are substantial. The standard function works with a fixed value, e.g. calc_bars_count = 20000. The custom function, on the other hand, works on a percentage basis, e.g. with 20% of the total available chart bars. In addition, calc_bars_count always affects the entire code, while the custom function can be applied selectively to specific parts of the script. These two differences enable a much more flexible and efficient usage. Fixed number of bars vs. percentage-based limitation: The number of available bars varies greatly, not only depending on the ticker and timeframe used, but also on the TradingView subscription (approx. 5,000–40,000 historical bars). For example, when using calc_bars_count = 20000, only charts that have more than 20,000 candles benefit. If the available number of bars is lower, there is no performance benefit at all until the value is changed after the first slow calculation. When using the custom function with, for example, 50%, only 50% of the available bars are always calculated, regardless of how many bars are available. This results in a performance gain with shorter calculation times regardless of the chart. Entire code vs. partial code sections: calc_bars_count = 20000 affects the entire code globally, meaning the script processes data from only those 20,000 bars. The custom function, however, can be used selectively for specific sections of the code. This makes it possible to continue accessing certain values across all available bars, while limiting only the truly computation-intensive parts of the script to a percentage-based range. In this way, computation time can be drastically reduced without restricting the overall size of the data sets. It is also possible to imitate max_bars_back and selectively limit specific values instead of limiting all of them. I hope this is useful to some of you. Have fun with it!
Indicatore Pine Script®
di RundumEntspannt
Accurate Dollar Risk & Position Size Manager⭐️ Product Title Faceless Capital Manager - Smart Position Sizing & Risk Automation Tool 🤔 What is the general logic of this indicator: A complete revolution in capital management. No calculations. No headroom. Just smart trading. Optionally plots several moving averages (20/50/100/200) and SMA 7 No manual spreadsheets, no extra risk-management knowledge required. Everything is automated. 📌 This indicator does all the capital management calculations for you automatically. 📚 Why capital and risk management are important: According to available sources, 90% of trading success depends on capital management, risk and market psychology, while correct analysis only accounts for about 10% of success. Capital and risk management also play a very important role in your psychology in the market because when you open a position with your desired loss amount, you do not get scared and emotional and you manage your position easily. The indicator does all the math and tells you how much volume you should enter in this trade, i.e. it calculates your position size. The indicator places your stop loss and target levels on the chart based on the data above. You can manage which data you see on your chart. 🤖 How this indicator works: You enter seven simple data points. 1- Total trading capital volume 2- Leverage 3- Stop size based on percentage based on your analysis on the chart 4- Reward to risk in fixed R/R strategies 5- Number of daily trades 6- Maximum daily risk in percentage 7- Position type Short or Long 🔥 Competitive advantages: • Without creating numerous labels (fully optimized) • High readability and accuracy • Minimum human error • Special for scalping, day traders and swing 📦 This indicator includes the following features: Automatic calculation of position size Calculation of daily risk Risk per trade Dollar loss limit Support for different leverages Instant ID on Chart Professionally managed Movenpick Forex Minimal and high-quality design Suitable for beginners to professional traders ⚙️ Default settings: totalCap = 10000 leverage =1 stopLossPercentInput =2.0 rewardRatioInput = defval=3.0 numberOfTrades =3 maxRiskDailyPercent = 1.0 positionDirection =“Long" 🚨 Important Notes This tool does not provide trading signals or financial advice . All results are purely mathematical calculations based on user inputs. Past performance or specific numbers displayed by the script do not guarantee any future outcomes. Traders are responsible for evaluating their own risk tolerance and trading decisions.
Indicatore Pine Script®
di facelesstradersog
ATR ZLEMA [QuantAlgo]🟢 Overview The ATR ZLEMA indicator identifies trend direction and reversal points using a Zero Lag Exponential Moving Average (ZLEMA) combined with volatility-adjusted dynamic trailing stops. It eliminates the inherent lag of traditional moving averages while incorporating Average True Range (ATR) volatility measurement to create adaptive support and resistance levels that automatically adjust to market conditions, with optional noise filtering to reduce whipsaws in choppy markets, helping traders and investors identify trend changes, maintain positions during trending markets, and exit when momentum shifts across multiple timeframes and asset classes. 🟢 How It Works The indicator's core methodology lies in its zero-lag trend detection system combined with volatility-adaptive trailing stops, where the ZLEMA eliminates moving average lag while ATR-based bands provide dynamic support and resistance levels: lag = math.floor((zlemaLength - 1) / 2) rawZlema = ta.ema(source + (source - source ), zlemaLength) The Zero Lag EMA calculation uses lag reduction through data compensation, adding the difference between current price and lagged price to eliminate the delay inherent in traditional exponential moving averages, providing faster response to trend changes while maintaining smoothness. The script incorporates an optional ATR-based noise filter that prevents the ZLEMA from updating during insignificant price movements, helping to reduce false signals in choppy, range-bound markets: if enableNoiseFilter noiseThreshold = atr * noiseFilter priceChange = math.abs(rawZlema - zlema) if priceChange > noiseThreshold zlema := rawZlema First, the indicator calculates the Average True Range to measure current market volatility, then applies a user-defined multiplier to determine the distance of the trailing stop from the ZLEMA: atr = ta.rma(ta.tr(true), atrLength) atrBand = atr * atrMultiplier Next, dynamic trend detection occurs through a state-based system where the indicator tracks whether the ZLEMA is above or below the ATR trailing line, automatically adjusting the trailing stop position: if trend == 1 if zlema < zlemaATR trend := -1 zlemaATR := zlema + atrBand else zlemaATR := math.max(zlemaATR, zlema - atrBand) The ATR trailing line acts as a volatility-adjusted stop that follows the ZLEMA during trends but never moves against the trend direction. It ratchets upward with the ZLEMA in uptrends and ratchets downward in downtrends, creating a protective barrier that adapts to market volatility. Finally, trend reversal signals are generated when the ZLEMA crosses the ATR trailing line, indicating a shift in market momentum: bullSignal = trend == 1 and trend == -1 bearSignal = trend == -1 and trend == 1 This creates a volatility-adaptive trend-following system that combines ZLEMA with dynamic support/resistance levels and optional noise filtering, providing traders with responsive directional signals and automatic stop-loss levels that adjust to both price momentum and market volatility conditions. 🟢 Signal Interpretation ▶ Bullish Trend (Green): ZLEMA trading above ATR trailing line with indicator showing bullish color, indicating established upward momentum with zero-lag confirmation = Long/Buy opportunities ▶ Bearish Trend (Red): ZLEMA trading below ATR trailing line with indicator showing bearish color, indicating established downward momentum with zero-lag confirmation = Short/Sell opportunities ▶ ATR Trailing Line as Dynamic Support: In uptrends, the trailing line acts as volatility-adjusted support level that rises with ZLEMA, never declining = Use as potential stop-loss reference for long positions = ZLEMA holding above indicates trend strength and momentum continuation ▶ ATR Trailing Line as Dynamic Resistance: In downtrends, the trailing line acts as volatility-adjusted resistance level that falls with ZLEMA, never rising = Use as potential stop-loss reference for short positions = ZLEMA holding below indicates trend weakness and momentum continuation 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading styles and market conditions. "Default" provides balanced configuration suitable for swing trading on daily and 4-hour charts with standard ZLEMA and ATR periods, moderate multiplier, and moderate noise filtering that works across most market conditions. "Fast Response" delivers aggressive configuration designed for intraday trading and scalping on 5-minute to 1-hour charts with shorter ZLEMA period for quick trend detection, reduced ATR period for rapid volatility adaptation, tighter multiplier for early entries/exits, and minimal noise filtering for maximum responsiveness. This is ideal for active traders monitoring positions closely but expect more frequent signals and potential whipsaws in choppy conditions. "Smooth Trend" focuses on conservative configuration for position trading and long-term trend following on daily to weekly charts with extended ZLEMA period for smoother trend identification, longer ATR period for stable volatility measurement, wide multiplier to filter minor corrections, and aggressive noise filtering to ensure only strong sustained trends trigger signals. This is best for patient traders focused on major trend moves with fewer reversals. ▶ Built-in Alerts: Three alert conditions enable comprehensive automated monitoring of trend changes and zero-lag momentum shifts. "Bullish Trend" triggers when the ZLEMA crosses above the ATR trailing line and trend state changes from bearish to bullish, signaling potential long entry opportunities with lag-eliminated confirmation. "Bearish Trend" activates when the ZLEMA crosses below the ATR trailing line and trend state changes from bullish to bearish, signaling potential short entry or long exit points with immediate momentum detection. "Any Trend Change" provides a combined alert for any trend reversal regardless of direction, allowing traders to be notified of all zero-lag momentum shifts without setting up separate alerts. These notifications enable traders to capitalize on trend changes and protect positions without continuous chart monitoring, leveraging the indicator's zero-lag technology for faster trend change alerts. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying bullish versus bearish trends across various trading environments. The adjustable cloud fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the ATR trailing line and ZLEMA, with higher transparency values (70-95) creating subtle background context without overwhelming the chart while lower values (20-40) produce bold, prominent trend zone emphasis for instant recognition. Optional bar coloring with adjustable transparency (0-100%) extends the trend color directly to the price bars themselves based on ZLEMA trend state, providing immediate visual reinforcement of current trend direction without requiring reference to the indicator lines.
Indicatore Pine Script®
di QuantAlgo
8
Educational Market Structure & Trend Context🔍 Overview This time-limited indicator is designed for educational and analytical purposes only. It helps users visually study price structure behavior and trend context by marking key structural points on the chart and overlaying a trend reference line. The indicator does not generate trading signals, predictions, or recommendations. ⚙️ How the Indicator Works The script analyzes price action over a user-defined lookback period to identify local structural points: Higher Highs within the selected range Lower Lows within the selected range These points are plotted as simple visual markers to help users understand how price is evolving over time. In addition, a moving average is applied to provide broader trend context. 🟢 Green Markers (Structure Strength) Appear when price forms a local higher high within the lookback window Represent relative strength in price structure They are not buy signals and do not indicate future movement 🔴 Red Markers (Structure Weakness) Appear when price forms a local lower low within the lookback window Represent relative weakness in price structure They are not sell signals and do not indicate reversals ➖ Grey Line (Trend Context Line) This line is a moving average calculated over a fixed period It provides trend context only, helping users visually distinguish between upward and downward environments It does not act as support, resistance, or entry guidance 🎨 Background Shading (Optional Context) A subtle background color may appear depending on price position relative to the trend line This shading is purely visual context, not a signal or confirmation 🎯 Purpose & Benefits Helps users study market structure in a clean and simple way Encourages price-action awareness instead of signal dependency Supports manual analysis, learning, and chart reading skills Keeps the chart minimal, non-predictive, and professional ⚠️ Important Notes This indicator does not provide buy/sell signals No targets, stop levels, or profit expectations are included Past structure points do not predict future outcomes Users should apply their own analysis and risk management
Indicatore Pine Script®
di Mentor_Michael03
MACD Forecast [QuantAlgo]🟢 Overview The MACD Forecast extends the classic Moving Average Convergence Divergence (MACD) indicator by projecting potential future MACD line, Signal line, and Histogram values up to 20 bars ahead. Unlike traditional MACD implementations that only display historical momentum data, this indicator employs three distinct forecasting methodologies that analyze different market dimensions: price structure analysis, volume-weighted dynamics, and linear regression trends. Each method explores potential momentum trajectories from a unique analytical perspective, allowing traders to develop probabilistic expectations about future MACD behavior, anticipate signal crossovers before they materialize, and integrate forward-looking momentum analysis into their trading approach. 🟢 How It Works The indicator operates through a multi-stage calculation process that extends the MACD calculation chain forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each analyzing different market characteristics (structure breaks, volume flow, or statistical trend). These projected prices are then enhanced with configurable volatility simulation that adds realistic price-like fluctuations to the forecast, scaled by ATR (Average True Range) to ensure consistent behavior across different instruments and timeframes. The volatility control allows traders to choose between smooth projections or more realistic forecasts that mirror actual market behavior. The system processes these volatility-adjusted price projections through an iterative moving average calculation that maintains continuity with historical MA states, computing forecasted fast and slow exponential (or other MA type) values while preserving the mathematical properties of each averaging method. It then calculates the difference between forecasted fast and slow MAs to produce future MACD line values, applies the signal line smoothing to these projections, and derives the forecasted histogram (MACD minus Signal). The forecasting models adapt to market conditions by analyzing configurable lookback periods and recalculating all projections on every bar update. Traders can control the forecast horizon from 1 to 20 bars ahead. The implementation supports 10+ different moving average types (SMA, EMA, WMA, VWMA, RMA, DEMA, TEMA, ZLEMA, LSMA, ALMA, SMMA) for both the oscillator and signal calculations, creating visual continuity between historical and forecasted values displayed as semi-transparent histogram columns and dashed lines extending beyond the current bar. 🟢 Key Features 1. Market Structure Model This model applies smart money concepts and price action analysis by identifying break of structure (BOS) and change of character (CHoCH) patterns to determine potential directional bias. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs and lower lows to establish bullish or bearish structure states. When structure is bullish and price approaches recent swing lows, the forecast projects potential moves higher scaled by ATR and trend strength. Conversely, bearish structure near swing highs projects downward bias. In neutral structure states, the algorithm reverts to mean-reversion logic, projecting toward the midpoint between recent structural extremes. The trend strength calculation compares the frequency of higher highs versus lower lows across multiple structure periods, weighting the forecast accordingly. ▶ Practical Implications: Explores potential MACD momentum behavior during structural trend continuation phases Identifies scenarios where structure breaks might influence MACD crossovers or divergences Could be useful for swing traders and position traders who incorporate market structure and price action analysis The Structure Influence parameter allows blending between pure trend following and structure-weighted momentum forecasts Helps visualize potential trend exhaustion when structure weakens or reverses while MACD remains extended May assist in anticipating false breakouts when structure contradicts MACD momentum direction Particularly relevant for traders who view MACD crossovers through the lens of swing highs/lows rather than pure price momentum 2. Volume-Weighted Model This model synthesizes multiple volume-based metrics to assess potential capital flow and institutional activity. The algorithm combines On-Balance Volume (OBV) slope analysis, Accumulation/Distribution Line trajectory, volume-weighted returns, and volume spike detection above customizable thresholds. When all volume indicators align directionally (positive OBV slope, rising A/D line, positive volume momentum), the forecast projects stronger potential moves in that direction, reflecting significant accumulation or distribution. Volume spikes above the threshold trigger additional directional adjustments scaled by ATR. The Money Flow Multiplier calculation weights each bar's volume contribution based on where the close falls within the bar's range, providing granular insight into buying versus selling pressure. When volume metrics diverge from price trends, the forecast suggests potential consolidation or reversal scenarios reflected in weakening MACD momentum. ▶ Practical Implications: Incorporates volume analysis into MACD momentum forecasting Attempts to distinguish between MACD signals supported by volume versus those that may lack conviction Could be particularly relevant in markets where volume data is reliable and significant (e.g., equities, crypto, major forex pairs during active sessions) Volume Influence parameter enables adaptation to different market volume characteristics and trading activity levels Highlights potential accumulation/distribution phases that might precede major MACD crossovers or divergences May help filter low-volume price noise that creates false MACD histogram signals Could be valuable for traders who require volume confirmation before acting on MACD crossover signals May help identify volume climax patterns that sometimes coincide with MACD extremes before trend reversals 3. Linear Regression Model This mathematical approach applies least-squares regression fitting to project simple trend trajectories based on recent price history. The algorithm calculates the best-fit line through the lookback period and extrapolates it forward using the regression equation, providing straightforward trend continuation forecasts without conditional logic or market-state dependencies. These projected prices feed through the MACD calculation chain (fast MA - slow MA, then signal line smoothing) to produce statistically-based momentum forecasts. ▶ Practical Implications: Delivers reproducible MACD forecasts based on statistical principles rather than discretionary interpretation Performs well in established trending markets with clear directional bias where momentum persistence is likely Minimal parameter sensitivity (primarily controlled by lookback period length) Computationally efficient with fast recalculation suitable for multi-timeframe MACD analysis Serves as a neutral baseline to compare against the more complex structure and volume methods Provides simpler momentum forecasts in low-noise environments without the assumptions inherent in structure or volume analysis 🟢 Universal Applications Across All Models Each forecasting method projects potential future MACD values (MACD line, Signal line, and Histogram), which traders can use to: ▶ Anticipate potential crossovers: Visualize possible MACD/Signal crosses several bars ahead, enabling proactive position planning rather than reactive trade execution after crossovers have already occurred ▶ Explore momentum trajectory scenarios: Assess whether current MACD histogram is likely to strengthen (increasing bars) or weaken (decreasing bars), providing insight into trend continuation versus exhaustion probabilities ▶ Plan entry timing: Identify potential optimal entry points along the forecasted momentum curve, such as entering on forecasted histogram pullbacks during strong trends or waiting for forecasted crossovers before commitment ▶ Evaluate zero-line dynamics: Monitor forecasted MACD line position relative to the zero line (bullish above, bearish below) and anticipate when momentum might shift from positive to negative or vice versa ▶ Assess divergence development: Use forecasted MACD values alongside price projections to identify potential bullish or bearish divergences before they fully develop, enabling earlier positioning ▶ Adapt to market regimes: Switch between forecasting methods based on current market character (structure method for range-bound or reversal markets, volume method for liquidity-driven moves, linear regression for clean trending environments) ▶ Manage open positions: Use forecasted MACD momentum deterioration as an early warning for profit-taking or position reduction before traditional exit signals trigger ▶ Combine with other indicators: Layer forecasted MACD crossovers with support/resistance levels, volatility bands, candlestick patterns, or other indicators for multi-confirmation trade setups 🟢 Important Considerations ▶ The indicator includes extensive customization options: adjustable MACD periods (fast/slow/signal), multiple moving average types for both oscillator and signal calculations, configurable lookback periods for each forecast method, customizable forecast horizon, adjustable volatility simulation, volume spike thresholds, structure pivot lengths, influence parameters for blending forecast components, multiple color presets, adjustable forecast transparency, value labels with customizable sizing, and built-in alerts for all major MACD signal types (bullish/bearish crosses, zero-line crosses, histogram sign changes). ▶ As with all technical analysis tools, these forecasts represent potential scenarios based on current data and chosen methodologies. They should be integrated into a comprehensive trading plan that includes risk management, fundamental analysis, and multiple timeframe confirmation rather than used as standalone predictive signals. Market conditions can change rapidly, and no forecasting algorithm can fully foresee the future price action. Most importantly, the true benefit of this script lies not in expecting precise momentum predictions but in developing a forward-thinking perspective on possible MACD behavior and planning your responses accordingly, whether that means preparing for anticipated crossovers, adjusting position sizes based on forecasted momentum strength, or avoiding trades when all three methods show conflicting projections.
Indicatore Pine Script®
di QuantAlgo
4
Smart Money Flow Signals [QuantAlgo]🟢 Overview The Smart Money Flow Signals indicator synthesizes significant volume-price dynamics through multi-component analysis to identify potential accumulation and distribution phases driven by substantial market participants. It combines Money Flow Index momentum, Chaikin Money Flow accumulation patterns, volume-weighted price momentum, and buying/selling pressure metrics into a unified composite oscillator that quantifies periods of concentrated capital movement, helping traders and investors identify conditions where significant volume participants may be actively positioning across multiple market conditions and timeframes. 🟢 How It Works The indicator's core methodology lies in its weighted composite approach, where multiple volume-price components are calculated sequentially and then integrated to create a comprehensive significant flow activity signal. First, the Money Flow Index (MFI) is calculated to measure buying and selling pressure by incorporating volume into price momentum analysis: raw_money_flow = source * volume positive_flow = source >= source ? raw_money_flow : 0 negative_flow = source < source ? raw_money_flow : 0 positive_money_flow = math.sum(positive_flow, mfi_period) negative_money_flow = math.sum(negative_flow, mfi_period) money_flow_index = 100 - 100 / (1 + positive_money_flow / negative_money_flow) This creates an RSI-style momentum indicator that tracks whether money (price × volume) is flowing into or out of the asset, with values ranging from 0 to 100 where readings above 50 suggest buying pressure dominance. Then, Chaikin Money Flow (CMF) is computed to evaluate accumulation and distribution by analyzing where prices close within each bar's range, weighted by volume: money_flow_multiplier = high != low ? (close - low - (high - close)) / (high - low) : 0 money_flow_volume = money_flow_multiplier * volume volume_sma = ta.sma(volume, trend_period) chaikin_money_flow = volume_sma != 0 ? ta.sma(money_flow_volume, trend_period) / volume_sma : 0 Positive CMF values indicate accumulation (closes near the high of the range), while negative values indicate distribution (closes near the low of the range), with volume weighting emphasizing periods of significant participation. Next, Volume Analysis is performed to quantify current volume intensity relative to historical averages: volume_average = ta.sma(volume, trend_period) volume_strength = volume_average != 0 ? volume / volume_average : 1 volume_weight = math.log(volume_strength + 1) The logarithmic transformation creates a volume weight that amplifies signals during high-volume periods while preventing extreme volume spikes from overwhelming the composite calculation. Following this, Buy/Sell Pressure is quantified by comparing cumulative volume during bullish versus bearish candles: buying_pressure = math.sum(volume * (close >= open ? 1 : 0), trend_period) selling_pressure = math.sum(volume * (close < open ? 1 : 0), trend_period) pressure_ratio = (buying_pressure - selling_pressure) / (buying_pressure + selling_pressure) * 100 This creates a directional pressure ratio that reveals whether significant participants are predominantly buying or selling, expressed as a percentage between -100 (all selling) and +100 (all buying). Then, Volume-Weighted Momentum is calculated through an exponential smoothing channel that adjusts price deviation based on volume intensity: exponential_smooth_average = ta.ema(source, momentum_channel_period) deviation = ta.ema(math.abs(source - exponential_smooth_average), momentum_channel_period) channel_index = deviation != 0 ? (source - exponential_smooth_average) / (0.015 * deviation) * (1 + volume_weight * 0.5) : 0 This channel index measures how far price has deviated from its exponential average relative to typical deviation, with the volume weight multiplier (1 + volume_weight * 0.5) amplifying the signal when significant volume accompanies the price movement. Finally, the Composite Wave is constructed by combining all components with specific weighting to create the final oscillator: momentum_wave = ta.ema(channel_index, trend_period) money_flow_wave = (money_flow_index - 50) * 1.2 chaikin_flow_wave = chaikin_money_flow * 100 composite_wave = momentum_wave * 0.5 + chaikin_flow_wave * 0.3 + money_flow_wave * 0.2 smoothed_wave = ta.sma(composite_wave, signal_smoothing) This creates a multi-dimensional volume flow oscillator that combines price-volume momentum, accumulation-distribution patterns, and buying-selling pressure into a single signal, providing traders with probabilistic insights into periods of concentrated market activity and directional bias based on weighted component convergence. 🟢 Signal Interpretation ▶ Positive Values (Above Zero, Green): Composite money flow above equilibrium indicating net accumulation pressure, positive buying volume dominance, and bullish volume-price alignment = Favorable conditions for long positions, significant capital flowing into the asset = Buy/hold opportunities ▶ Negative Values (Below Zero, Red): Composite money flow below equilibrium indicating net distribution pressure, negative selling volume dominance, and bearish volume-price alignment = Unfavorable conditions for long positions, significant capital flowing out of the asset = Sell/short opportunities ▶ Extreme Overbought Zone: Excessive bullish money flow indicating potential accumulation exhaustion, where buying pressure may have reached unsustainable levels with elevated reversal risk = Caution on new longs, potential distribution phase beginning, profit-taking zone for existing positions ▶ Extreme Oversold Zone: Excessive bearish money flow indicating potential distribution exhaustion, where selling pressure may have reached unsustainable levels with elevated reversal risk = Caution on new shorts, potential accumulation phase beginning, buying opportunity zone for contrarian entries ▶ Smoothed Trend Line (White) Alignment: When the smoothed trend line confirms the composite wave direction, it validates the underlying volume-price trend and filters false signals caused by short-term noise ▶ Volume Intensity Correlation: Gradient intensity (color saturation) reflects combined wave strength, volume participation, and directional alignment, where darker/more saturated colors indicate stronger concentrated activity and higher-probability directional moves 🟢 Features ▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches. 1. "Default" provides balanced volume flow measurement suitable for swing trading on 4-hour and daily charts, offering moderate responsiveness to money flow shifts with standard RSI-equivalent MFI period and moderate smoothing for most market conditions. 2. "Fast Response" delivers heightened sensitivity optimized for active intraday trading and scalping on 1-minute to 1-hour charts, using compressed calculation periods across all components and minimal smoothing to capture rapid volume flow changes and quick trend shifts as they develop, ideal for early entry/exit opportunities with acceptance of increased signal frequency during consolidation. 3. "Smooth Trend" offers conservative extreme identification ideal for position trading and long-term analysis on daily to weekly charts, employing extended periods across all money flow components with substantial smoothing to filter short-term noise and isolate only strong, sustained accumulation and distribution phases driven by significant volume participants. ▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of significant money flow transitions and extreme market states. 1. "Bullish Flow" triggers when the composite wave crosses above zero, signaling the shift from distribution to accumulation and concentrated buying activity beginning. 2. "Bearish Flow" activates when the composite wave crosses below zero, signaling the shift from accumulation to distribution and concentrated selling activity starting. 3. "Any Flow Direction Change" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general money flow momentum shifts. 4. "Extreme Overbought" alerts when the composite wave reaches or exceeds the overbought threshold (default +60), indicating excessive buying pressure and potential exhaustion. 5. "Extreme Oversold" notifies when the composite wave reaches or falls below the oversold threshold (default -60), indicating excessive selling pressure and potential capitulation. 6. "Overbought Reversal" triggers specifically when the wave crosses back down through the overbought level after being extended, signaling the beginning of distribution from extreme levels. 7. "Oversold Reversal" activates when the wave crosses back up through the oversold level after being extended, signaling the beginning of accumulation from extreme levels. ▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of bullish versus bearish volume flow conditions across various devices and screen sizes. Optional bar coloring provides instant visual context of current significant volume activity intensity and direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess volume-price positioning dynamics while analyzing price action.
Indicatore Pine Script®
di QuantAlgo
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Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops. How it Works: Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals. Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend. Liquidity Sweep Detection: A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward. A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes. ATR-Based Risk Management: Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5). Take profit is set based on a risk-reward ratio (default 2.5x). Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading. Inputs: Session Start/End (HHMM) Liquidity Lookback Period (number of bars to define prior high/low) ATR Length for stop calculation ATR Stop Multiplier Risk-Reward Ratio EMA Trend Filter Length Visuals: Prior Liquidity High (red) Prior Liquidity Low (green) EMA Trend (blue) Why Use This Strategy: Captures stop-hunt moves often triggered by larger market participants. Only trades with trend confirmation, reducing false signals. Provides automatic ATR-based stop loss and take profit for consistent risk management. Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style. Important Notes: Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker. Not financial advice; intended for educational, backtesting, or paper trading purposes. Always test strategies thoroughly before applying to live accounts.
Strategia Pine Script®
di AIScripts