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Alg0 Hal0 CCI SnapAlg0 ۞ Hal0 CCI Snap 1. The Core PhilosophyThe A۞H CCI Snap is a dual-confirmation momentum oscillator. Unlike standard oscillators that only look at one data stream, this tool separates Market Structure (Background Trend) from Momentum Velocity (CCI Snap). It is designed to identify "Mean Reversion" opportunities and "Trend Continuation" snaps. 2. The Interface (Visual Components)The CCI Line (Blue): Tracks the "typical price" relative to its average. It tells you how fast the market is moving.The Signal Line (Yellow): A customizable moving average (HMA, TEMA, etc.) of the CCI. It filters out the "jitters" of the blue line.Background Trend (Green/Red): This is independent of the CCI. It tracks whether the actual Price is above or below a long-term Moving Average (default is 50 SMA).The 5-Color Heatmap Dashboard: A real-time data table that calculates the "Heat" of the current momentum compared to the last 3 bars. 3. How to Trade with A۞H CCI Snap ۞ The "Snap" Entry (Trend Continuation)This is the highest probability trade. You are looking for a momentary dip in a strong trend.Check Background: Background must be solid Green.Observe CCI: The Blue CCI line dips below the Yellow Signal line (a "cooling off").The Trigger: Enter when the Blue line snaps back above the Yellow line.Confirmation: The Dashboard should show Dark Green (Accelerating Bullish Heat). ۞ The Zero-Line Rejection (Trend Strength) The 0 line is the "Fair Value" of momentum.Bullish: In a Green background, if CCI drops toward 0 but bounces off it without crossing, it confirms the trend is extremely strong. Bearish: In a Red background, if CCI rises toward 0 but "rejects" and heads back down, it confirms heavy selling pressure. ۞ Exhaustion Warning (Mean Reversion)If the CCI is above +200 or below -200, the market is overextended. Look at the Dashboard Heatmap: If the CCI is at +210 but the cell color turns from Dark Green to Light Green, the "Heat" is leaving the move. This is your signal to tighten stop-losses or take profits. 4. Input Customization Guide and Recommendations * Setting GroupFunctionPro-TipCCI CoreSets the sensitivity of the blue line. * Use 14 for scalping, 20 for day trading. * CCI SignalSets the smoothing of the yellow line. * HMA (Hull) is best for crypto due to low lag.Background * TrendDrives the Green/Red chart color. * Set to 50 SMA for a "Trend Filter" or 200 SMA for "Macro" view. * Alert SettingsToggles specific notifications. * Turn off "Zero Cross" if you only want major Trend Flips. 5. Interpreting the Heatmap Dashboard: ۞ Dark Green (+): Bullish Acceleration (Buy/Hold). ۞ Light Green (+): Bullish Deceleration (Caution/Take Profit). ۞ Gray (0): No Momentum (Range-bound/Sideways). ۞ Orange/Light Red (-): Bearish Deceleration (Short Cover/Bottom Fish). ۞ Dark Red (-): Bearish Acceleration (Sell/Short). !! Important Technical Note!! VWAP Option: If you select VWAP as your Trend MA Type, the background will only color on charts that provide Volume Data (Stocks, Crypto, most Futures). It will appear gray on most Forex pairs.
Indicateur Pine Script®
par inspyr24
Cup & Handle (Zeiierman)█ Overview Cup & Handle (Zeiierman) is a classic continuation-pattern scanner that detects both bullish Cup+Handle and bearish Inverted Cup+Handle structures using a compact pivot stream. It’s designed to highlight rounded reversals back to a “rim” level, followed by a smaller pullback (“handle”) before a potential continuation move. ⚪ What It Detects A Cup & Handle (Bull) forms when price makes a rounded decline from a left rim, bottoms, then climbs back to a similar right rim. After returning to the rim, price forms a handle (a smaller pullback) that stays within an allowed retracement range. This pattern often precedes a bullish continuation attempt. An Inverted Cup & Handle (Bear) is the mirrored version. Price makes a rounded rise to a left rim, tops, then declines back to a similar right rim. After returning to that rim, price forms a handle (a smaller bounce) that stays within the allowed retracement range. This pattern often precedes a bearish continuation attempt. █ How It Works ⚪ 1) Pivot Extraction (Swing Compression) The script first converts raw candles into a small set of meaningful swing pivots using ta.pivothigh() and ta.pivotlow() with Pivot span. A pivot is accepted only after it is confirmed by the lookback window, which helps reduce noise. Key effect: Higher Pivot span = fewer, stronger pivots (cleaner patterns) Lower Pivot span = more pivots (more patterns, more noise) ⚪ 2) Pattern Framing (4-Point Structure) When at least four pivots exist, the script maps them into a fixed sequence: For a bull Cup+Handle sequence: High → Low → High → Low These are treated as: L = left rim pivot B = cup bottom pivot R = right rim pivot H = handle pivot For a bear inverted Cup+Handle sequence: Low → High → Low → High Mapped similarly, but inverted. This “4-pivot” structure is the minimum shape needed to define a cup and a handle without overfitting. ⚪ 3) Rim Similarity Filter (Cup Quality Control) The script checks if the left rim and right rim are close enough to be considered a proper cup rim: Rim similarity tolerance (%) controls this. Lower tolerance = only very clean symmetric rims Higher tolerance = allows uneven rims (more detections) ⚪ 4) Handle Depth Filter (Reject Weak or Messy Handles) The handle is validated by measuring how deep it retraces relative to the cup depth: Handle Retraction = |rim − handle| / |rim − bottom| The handle must fall between: Handle retrace min Handle retrace max This prevents: tiny “non-handle” wiggles (too shallow) deep pullbacks that break the structure (too deep) █ How to Use ⚪ Interpreting a Bull Cup & Handle Treat it like a continuation setup built around a key breakout level: Cup forms Handle forms Breakout happens above this level Once price returns to this breakout zone and the handle stays controlled, the structure may attempt to continue upward. Common behaviors after a clean signal: Push above the breakout level Brief retest/acceptance near the breakout zone Continuation toward the projected target if momentum holds ⚪ Interpreting a Bear Inverted Cup & Handle Treat it like a bearish continuation/rollover setup built around the same breakout concept: Cup forms (inverted) Handle forms Breakout happens below this level Once price returns to this breakout zone and the handle stays controlled, the structure may attempt to continue downward. Common behaviors after a clean signal: Drop below the breakout level Retest from underneath Continuation toward the projected target if selling pressure persists █ Settings Pivot span – pivot sensitivity. Higher = smoother pivots, fewer signals. Lower = more pivots, more signals/noise. Rim similarity tolerance (%) – rim quality filter. Lower = stricter symmetry, higher = more permissive detection. Handle retrace min – minimum handle depth (filters weak handles). Handle retrace max – maximum handle depth (filters messy/deep handles). Invalidation (handle max retrace %) – “maximum tolerated damage” for handle move before the structure is considered broken. Require breakout confirmation – only trigger when price closes beyond the rim in the expected direction. Target multiplier (× cup depth) – scales how far the projection target is. Lower = closer targets; 1.0 = classic depth target. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicateur Pine Script®
par Zeiierman
9
DEMA Volatility SuperTrend | RakoQuantDEMA Volatility SuperTrend is a clean trend-regime indicator built for volatile markets such as crypto. It combines a Double Exponential Moving Average (DEMA) baseline with a standard deviation volatility envelope, then applies classic SuperTrend trailing logic to produce persistent bullish and bearish regimes. This tool is designed for traders who want a smooth but responsive trend structure without relying on ATR alone. Core Concept This indicator answers one simple question: Are we currently in a bullish trend regime or a bearish trend regime? It does this by building a dynamic volatility corridor around a DEMA baseline and flipping only when price breaks beyond the active band. How It Works 1. DEMA Baseline (fast + low lag) A DEMA is used instead of a normal EMA to reduce lag while maintaining smooth trend behavior. 2. Volatility Engine (Standard Deviation) Volatility bands are created using: Raw Source Volatility Classic standard deviation behavior Residual vs Baseline Volatility Measures deviations from the DEMA baseline for cleaner regime detection Band formula: Upper Band = baseline + multiplier × stdev Lower Band = baseline − multiplier × stdev 3. SuperTrend Trailing Regime Logic Instead of flipping every touch, the bands trail using SuperTrend persistence rules: Bull regime → active lower band acts as support Bear regime → active upper band acts as resistance Flips occur only when price breaks beyond the trailing band. Visual System Bull regime: Ice-Blue active band Bear regime: Violet active band Optional faint inactive bands provide structure Optional fill highlights the active regime corridor Optional candle painting matches the regime state instantly Alerts Included Bull Flip Alert → regime turns bullish Bear Flip Alert → regime turns bearish Perfect for automation or regime-based filtering. How to Use ✅ Trend filter for swing trading ✅ Regime confirmation layer for systems ✅ Works best on higher timeframes (4H / 1D) ✅ Combine with momentum or breakout triggers for entries Inputs Summary DEMA Length → baseline responsiveness Volatility Length + Multiplier → band width + sensitivity Volatility Mode → raw vs residual volatility Flip Source → Close or HL2 for regime switching Visual toggles → fill, candles, inactive rails Screenshot Placement 📸 Example chart / screenshot: Tip: show one bullish flip + one bearish flip with candle painting enabled.
Indicateur Pine Script®
par RakoQuant
1
DANI _ MTF Pullback - RSI PanelMTF Pullback - RSI Panel Summary Purpose: Companion indicator for the main strategy that displays RSI with divergence detection in a separate pane below the price chart. Settings ParameterDefaultDescriptionRSI Length14Lookback period for RSI calculationRSI Oversold Level30Threshold for oversold conditionRSI Overbought Level70Threshold for overbought conditionDivergence Lookback Bars10How many bars to look back for divergence detection What It Displays RSI Line — Changes color based on zone: Purple = neutral (between 30-70) Green = oversold (below 30) Red = overbought (above 70) Horizontal Levels: Red dashed line at 70 (overbought) Green dashed line at 30 (oversold) Gray dotted line at 50 (midpoint) Zone Fills: Light red shading above 70 Light green shading below 30 Divergence Markers: "DIV" label with lime circle = bullish divergence (price makes lower low, RSI makes higher low while oversold) "DIV" label with fuchsia circle = bearish divergence (price makes higher high, RSI makes lower high while overbought) Background Flash: Green flash when bullish divergence detected Red flash when bearish divergence detected Divergence Logic Bullish: Price makes a lower low AND RSI makes a higher low AND RSI is in oversold territory → potential reversal up Bearish: Price makes a higher high AND RSI makes a lower high AND RSI is in overbought territory → potential reversal down
Indicateur Pine Script®
par VKtrade2025
CPR OI Toolkit - All in one indicatorThis is experimental indicator which is an extend my pre triple EMA indicator. I have been using this indicator to identify potential entry and exit for commodity market. I had used it for couple of week and it helps. I would like to share with you. It is meant identify and analyze then plan your trade. I have developed this indicator using Google Antigravity , which is an awesome tool for developing trading indicator and strategies. My CPR OI tool kit includes following. Triple EMA Stochastic - for trend catching Previous Low/high base trial and visual indication Price action concepts Reversion logic. Visual indication - buy / sell / setup initialization / exit Visual dashboard. --- ## 🎨 Visual Signal Guide | Marker | Meaning | Action | |--------|---------|--------| | 🔵 Tiny Blue Circle | Stochastic bullish setup START | Wait for EMA + breakout | | 🟢 Green Triangle UP | **LONG ENTRY** - All conditions met | **ENTER LONG** | | 🔴 Red Triangle DOWN | **SHORT ENTRY** | **ENTER SHORT** | | 🟠 Orange Circle | **EXIT** - EMA1/2 cross | **CLOSE POSITION** | | 💧 Aqua "R" | Mean reversion long | Scalp opportunity | | 💜 Fuchsia "R" | Mean reversion short | Scalp opportunity | --- ## 💰 Open Interest Interpretation | Status | Price vs Prev | OI Change | Meaning | |--------|---------------|-----------|---------| | **Long Accumulation**🟢 | ↑ | ↑ | Bulls building positions | | **Short Accumulation**🔴 | ↓ | ↑ | Bears building positions | | **Short Covering**🟡 | ↑ | ↓ | Bears exiting (bullish) | | **Long Unwinding**🟠 | ↓ | ↓ | Bulls exiting (bearish) | --- ## 🔔 Alerts (All Enabled by Default) 1. "LONG Signal | Stochastic confirmed | EMA Bullish" 2. "SHORT Signal | Stochastic confirmed | EMA Bearish" 3. "EMA Alignment: BULLISH/BEARISH" 4. "Position CLOSED - Trailing Stop Hit" ---
Indicateur Pine Script®
par trade_crush
8
Celestial StateCelestial State (C1) – Market Bias & Candle Intent Celestial State (C1) is a price-action indicator designed to clarify market bias, momentum, and risk conditions using nothing but candle structure. No indicators. No lag. Just clean candle logic. The tool separates state (what the market is) from intent (what the market is doing right now). 🔹 Core Concept The indicator works on the chart timeframe and uses closed candles only to define market state. It then monitors the current candle to identify: momentum confirmation early warnings potential trap / reversal behaviour 🔹 Market State (Based on C1 – last closed candle) State is derived from the relationship between the last two closed candles: Bull Trend Start Bearish candle → Bullish candle Bull Continuation Bullish candle → Bullish candle Bear Trend Start Bullish candle → Bearish candle Bear Continuation Bearish candle → Bearish candle This defines the directional environment before any decision is made. 🔹 Bias & Momentum (Live Candle) Once state is defined, the current candle is monitored relative to the previous candle’s high and low. Strong Buy Bullish state Previous candle bullish Current candle breaks previous high Strong Sell Bearish state Previous candle bearish Current candle breaks previous low These represent momentum continuation with confirmation. Buy / Sell (Normal Bias) Price is in a bullish or bearish state No momentum break yet This is directional bias without confirmation. Changing Bias Bullish state + previous low broken Bearish state + previous high broken This warns that control is being challenged and conditions may be shifting. 🔹 Flip (Strict Order) A Flip is a high-risk condition where expansion fails: Bull Flip Current candle breaks previous high first, then breaks previous low Bear Flip Current candle breaks previous low first, then breaks previous high This often signals: failed breakouts stop hunts transition zones 🔹 Visual Output Top-right panel shows: Current Celestial State (C1) Current Bias (Strong Buy / Sell / Changing Bias) Short explanation (e.g. High broken, Low broken) On-chart markers are intentionally minimal and offset away from price to reduce clutter. 🔹 Who This Is For This indicator is built for traders who: trade price action want context before execution prefer clarity over complexity understand that bias ≠ entry ⚠️ Disclaimer This tool does not provide entries, exits, or risk management. It is a context and intent framework, not a signal system. Use it as a decision-support layer alongside your own execution rules.
Indicateur Pine Script®
par thecelestialtrader
Fast EMA Stack >XBT<Multi-timeframe EMA indicator displaying 9/20 EMA bands across 5M, 15M, 1H, and 4H timeframes simultaneously on a single chart. Quickly assess trend alignment across multiple timeframes without switching charts. A built-in signal table provides instant visual confirmation of bullish or bearish conditions on each timeframe. Features: Multi-Timeframe Bands — View EMA 9/20 bands for 5M, 15M, 1H, and 4H all at once Crossover Labels — Bull/Bear labels appear directly on the chart at each EMA crossover point Stack Filter — Only show crossover signals that align with your higher timeframe bias (e.g. if 1H is bullish, only show bull signals on lower timeframes) Individual Label Controls — Toggle crossover labels on/off independently for each timeframe Label Limit — Set maximum labels per timeframe to keep charts clean (default 5) Signal Table — Dark-mode table showing BULL/BEAR status with colour-coded indicators Fully Customisable — Adjust EMA lengths, line thickness, colours, and band transparency per timeframe Toggle Timeframes — Show or hide individual timeframe bands Alert Conditions — Pre-built alerts for bullish and bearish EMA crossovers on all four timeframes How to Use: Look for alignment across timeframes to confirm trend direction. When multiple timeframes show the same signal (all green or all red), you have stronger confluence. Crossover labels mark exact entry/exit points where momentum shifts. Stack Filter: Enable the Stack Filter to only see signals that match your higher timeframe bias. Select your bias timeframe (15M, 1H, or 4H), then: When bias is bullish → only bull crossovers appear on lower timeframes When bias is bearish → only bear crossovers appear on lower timeframes The bias timeframe always shows both directions so you can see when trend changes This helps filter out counter-trend noise and keeps you trading with the flow. Green = Bullish (EMA 9 above EMA 20) Red = Bearish (EMA 9 below EMA 20)
Indicateur Pine Script®
par xbtmachine
PPAO - Propagator Price Action Oscillator How PPAO works in one cycle (what it does every candle) PPAO has 3 moving parts that run every bar: 1) It measures new candle pressure (the “push”) This is the forcing term. Return (ret): did price go up or down from last close? Body: did the candle close above or below its open? CLV: did the candle close near the high or near the low of its range? With Option B, the “price action push” is directional: Body is positive on bullish candles, negative on bearish candles. CLV is: near +1 if the candle closes near the high (buying strength), near -1 if it closes near the low (selling strength). So a candle that closes weak (near the low) pushes PPAO downward even if the candle range is large. 2) It decides how much to remember vs forget (the “friction”) This is damping / decay. High volatility (noisy market) → forget faster Low volatility (cleaner market) → remember longer So PPAO adapts: in chop it won’t hold bias for long; in smooth trends it will. 3) It updates a hidden “momentum engine” (state) Internally it keeps two numbers (p and q) that store the market’s impulse with memory. Every candle: it shrinks the old state (decay), rotates it a bit (momentum/volatility creates oscillation), then adds the candle push (forcing). Finally, it converts that hidden state into a 0–100 line: > 50 means the state is aligned bullish, < 50 means it’s aligned bearish. The image below will give you an example of a deep analysis using the Propagator Price Action Oscillator (PPAO). PPAO below 30 What that means mechanically Below 30 = bearish impulse extreme. It happens when the recent candles are consistently “bearish pressure” according to the forcing inputs: returns are negative and/or candles close weak inside their range (CLV negative) and/or bodies are bearish (close < open) Also, if volatility is elevated, damping can make this flip faster and stay extreme during a strong impulse. What it means behaviorally PPAO < 30 is not “prediction.” It is diagnosis: “Recent candle pressure has been strongly bearish.” This can show up in two common market contexts: Continuation context Price is breaking structure down, and candles keep closing weak → PPAO stays < 30. Distribution / hidden weakness context (important) Price may look stable or near a high, but candles are repeatedly closing poorly inside their ranges (negative CLV). That makes PPAO drop under 30 even if price hasn’t collapsed yet. That second case is exactly why Option B (Body + CLV) is useful: it can flag weak closes / selling absorption earlier than “price-only” oscillators. PPAO above 70 What that means mechanically Above 70 = bullish impulse extreme. It occurs when the forcing inputs are strongly positive: returns are positive and/or candles close strong inside their range (CLV positive) and/or bodies are bullish (close > open) If volatility is not exploding, damping won’t erase the accumulated bullish state quickly, so PPAO can stay above 70 during sustained buying pressure. What it means behaviorally Again: not a prophecy, but an impulse read: “Recent candle pressure has been strongly bullish.” Two common contexts: Trend continuation Price is pushing higher and closes are strong → PPAO remains > 70. Exhaustion risk If price is hitting major resistance/liquidity and you start seeing weaker closes (CLV drops) while PPAO stops making new highs → that’s where reversals begin to appear. The key takeaway using both images PPAO extremes are best understood as: Below 30: “Sellers are currently dominating candle pressure.” Above 70: “Buyers are currently dominating candle pressure.” Whether that dominance leads to continuation or reversal depends on what price does next (structure + where you are on the chart). PPAO is measuring pressure, not guaranteeing outcome.
Indicateur Pine Script®
par TheWannaBeQuant
1
Kalman Hull Bands For Loop | RakoQuant Kalman Hull Bands For Loop | RakoQuant RakoQuant | Kalman Hull Bands For Loop is a trend-following breakout + regime tool built to keep you on the right side of the market with clean structure and minimal noise. It combines a Kalman Filter (noise reduction), a Hull Moving Average baseline (responsive trend anchor), and a standard deviation envelope computed via a for-loop (robust rail bands) to define actionable bullish and bearish regimes. What it does This indicator builds a dynamic “rail system” around price: Kalman Filtered Source → reduces measurement noise in the input series. Hull Baseline (HMA) → fast trend baseline built on the Kalman-filtered source. Deviation Bands (“Rails”) → upper/lower rails based on a loop-calculated standard deviation. Regime Breakout Logic → trend regime flips only when price breaks out beyond the rails: Bullish regime when close crosses above the upper rail Bearish regime when close crosses below the lower rail Once a regime is established, the tool highlights the active rail in bright neon and fades the inactive rail (optional), giving you a clear “trend corridor” and a strong visual state. Key Features 1) Kalman Noise Filtering (R & Q) The Kalman filter smooths the selected source using: R (Measurement Noise) – how noisy you assume the observations are Q (Process Noise) – how quickly the model is allowed to adapt This helps reduce chop without turning the indicator into a laggy moving average. 2) Hull Baseline (fast + smooth) The baseline is a Hull Moving Average applied to the Kalman-filtered source: responsive in trend, cleaner during transitions, ideal for breakout regime detection. 3) Deviation Envelope with Two Modes Deviation rails are calculated using a for-loop standard deviation (population stdev), with two choices: Residual vs Baseline (default): deviation of (src - baseline) → focuses on “distance from fair value” instead of raw price volatility Raw Source: deviation of the source itself → classic volatility envelope behavior Then bands are formed by: upper = baseline + mult * sd lower = baseline - mult * sd 4) Regime Rails + Candle Painting (RakoQuant Neon) Bull regime: active lower rail plotted in Neon Aqua Bear regime: active upper rail plotted in Neon Magenta Candles are painted to match the current state (optional) Inactive rails can be shown faintly for context. 5) Alerts for Breakouts Built-in alerts trigger exactly on regime flips: Bull Breakout (close crosses above upper rail) Bear Breakout (close crosses below lower rail) How to Use It Trend-following approach Stay with the active regime until a breakout flip occurs. In bull regime, the lower rail behaves like an adaptive trend support guide. In bear regime, the upper rail behaves like an adaptive trend resistance guide. Breakout confirmation Use the breakout as a confirmation layer with your other confluences: take longs only after a bull breakout, take shorts only after a bear breakout, filter mean-reversion trades by the regime state. Inputs Summary Source: select what the model tracks (default: high) Kalman: R / Q controls smoothing vs responsiveness Baseline: Hull length Deviation: loop length, mode (Residual vs Baseline / Raw Source), multiplier Visuals: candle painting, baseline visibility, inactive rails Disclaimer Backtests are based on historical data and are not indicative of future performance. :
Indicateur Pine Script®
par RakoQuant
1
Smart Trader, Episode 04, by Ata Sabanci, Candles and Z ScoresSmart Trader, Episode 04 Candles and Z-Scores: A Statistical Approach to Market Analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ OVERVIEW This indicator applies Z-Score statistical analysis to measure how unusual current market conditions are compared to historical norms. It simultaneously analyzes five key metrics: Price, Total Volume, Buy Volume, Sell Volume, and Delta (Buy minus Sell) . The system detects 60 academically-researched market scenarios and provides visual feedback through Z-Lines (support/resistance levels), Event Markers, Trend Channels, and a comprehensive Dashboard. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CORE CONCEPT: WHY Z-SCORE? A Z-Score measures how many standard deviations a value is from its mean. In financial markets, extreme Z-Scores indicate statistically rare events that often precede significant price movements. Mathematical Formula: Z = (Current Value - Mean) / Standard Deviation Interpretation: • Z ≥ +2.0: Extremely high (occurs approximately 2.5% of the time) • Z ≥ +1.0: Above average • Z ≈ 0: Normal (near the mean) • Z ≤ -1.0: Below average • Z ≤ -2.0: Extremely low (occurs approximately 2.5% of the time) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ACADEMIC FOUNDATION This indicator is inspired by / grounded in market microstructure literature (abbreviated citations in-script) from market microstructure literature: • Price-Volume Relationship - Karpoff (1987), Journal of Financial and Quantitative Analysis, Cambridge Volume is positively correlated with price change magnitude • Order Flow Imbalance - Cont, Kukanov, Stoikov (2014), Journal of Financial Econometrics Order imbalance drives price more reliably than raw volume • Informed Trading (PIN Model) - Easley, Kiefer, O'Hara, Paperman (1996), Journal of Finance Buy/Sell imbalance reveals informed trader activity • Mixture of Distributions - Tauchen & Pitts (1983), Clark (1973) Volume clusters with volatility regimes • Volume Predictability - Gervais, Kaniel, Mingelgrin (2001) Volume shocks predict future returns • Liquidity & Order Imbalance - Chordia, Roll, Subrahmanyam (2002) Order imbalance affects short-term returns • Volume-Return Dynamics - Llorente, Michaely, Saar, Wang (2002) Speculation vs. risk-sharing patterns • Reversal vs. Continuation - Campbell, Grossman, Wang (MIT) High volume predicts lower autocorrelation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ VOLUME ENGINE The indicator offers two methods for decomposing total volume into Buy and Sell components: Method 1: Geometry (Approximation) Uses candle structure to estimate buying and selling pressure: Buy Volume = Total Volume × (Close - Low) / (High - Low) Sell Volume = Total Volume × (High - Close) / (High - Low) • Works on all instruments without additional data requirements • Fast calculation • Less precise than intrabar method Method 2: Intrabar (Precise) Uses Lower Timeframe (LTF) tick/second data to aggregate actual up-ticks versus down-ticks: • More accurate volume decomposition • Requires LTF data availability • Configurable LTF: 1T (tick), 1S, 15S, 1M Delta Calculation: Delta = Buy Volume - Sell Volume ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Z-SCORE SYSTEM The system calculates Z-Scores for five metrics simultaneously, using a configurable lookback period (default: 20 bars): • Zp (Price Z-Score): Measures price deviation from its mean • Zv (Volume Z-Score): Measures total volume deviation • Zbuy (Buy Volume Z-Score): Measures buying pressure deviation • Zsell (Sell Volume Z-Score): Measures selling pressure deviation • ZΔ (Delta Z-Score): Measures order flow imbalance deviation Threshold Constants: • ZH (Z High) = 2.0: Extreme threshold • ZM (Z Medium) = 1.0: Moderate threshold • Z0 (Z Zero) = 0.5: Near-zero threshold Group System: The analysis window is divided into groups (default: 5 groups × 20 bars = 100 bar total window). Group numbers (1, 2, 3...) are displayed above candles when enabled, helping identify the relative age of detected levels. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Z-LINES (SUPPORT/RESISTANCE LEVELS) When any metric reaches an extreme Z-Score, the system marks that price level as a significant support or resistance zone. Detection Logic: • Upper Z-Line: Drawn from the HIGH when Z ≥ upper threshold (default +2.0) • Lower Z-Line: Drawn from the LOW when Z ≤ lower threshold (default -2.0) Multi-Metric Detection: Z-Lines can be triggered by any of the five metrics (Price, Volume, Buy, Sell, Delta). When multiple metrics trigger at similar price levels, they are clustered together into a single combined label showing all contributing metrics. Persistence: Z-Lines persist for the entire analysis window (Period × Groups bars) and are NOT removed when price touches them. This allows traders to see historical support/resistance levels that may still be relevant. Anti-Overlap System: Labels are automatically repositioned to prevent overlap. The "Label Min Gap (%)" setting controls minimum vertical separation between ALL labels (both upper and lower), ensuring readability even when multiple levels cluster together. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EVENT DETECTION ENGINE (60 SCENARIOS) The system analyzes 60 distinct market scenarios based on Z-Score combinations. Each scenario is derived from academic research and assigned a confidence score based on signal strength and alignment. Notation: • Zp = Price Z-Score • Zv = Total Volume Z-Score • Zbuy = Buy Volume Z-Score • Zsell = Sell Volume Z-Score • ZΔ = Delta Z-Score • dirP = Price direction (+1 if Zp > 0.5, -1 if Zp < -0.5, else 0) • = Previous bar value • ZH = 2.0 (High threshold) • ZM = 1.0 (Medium threshold) • Z0 = 0.5 (Zero threshold) ───────────────────────────────────────────────────────────── CATEGORY A: PRICE-VOLUME (Events 1-10) Based on: Karpoff (1987), Tauchen-Pitts (1983), Clark (1973) ───────────────────────────────────────────────────────────── Event 1: Breakout Confirmed |Zp| ≥ ZH AND Zv ≥ ZH AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Bullish/Bearish (follows price direction) Event 2: Trend Strength Confirmed |Zp| ≥ ZH AND Zv ≥ ZH Direction: Follows price direction Event 3: Fragile Move |Zp| ≥ ZH AND Zv ≤ -ZM Direction: Warning (price move without volume support) Event 4: Weak Rally Zp ≥ ZH AND Zv ≤ -ZH Direction: Warning (price up without volume) Event 5: Weak Selloff Zp ≤ -ZH AND Zv ≤ -ZH Direction: Warning (price down without volume) Event 6: Momentum Build ZM ≤ |Zp| < ZH AND Zv ≥ ZH Direction: Follows price direction Event 7: Churn |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Neutral (high volume, low price movement) Event 8: Quiet Compression |Zp| ≤ Z0 AND Zv ≤ -ZH Direction: Neutral (low volume, low price movement) Event 9: High Volume Regime Zv ≥ ZH Direction: Neutral Event 10: Low Volume Regime Zv ≤ -ZH Direction: Neutral ───────────────────────────────────────────────────────────── CATEGORY B: ORDER-FLOW / DELTA (Events 11-16) Based on: Cont, Kukanov, Stoikov (2014), Easley, Kiefer, O'Hara, Paperman (1996) ───────────────────────────────────────────────────────────── Event 11: Imbalance Drives Price |ZΔ| ≥ ZH AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction (dirP), with delta alignment required Event 12: Divergence Top Zp ≥ ZH AND ZΔ ≤ -ZH Direction: Warning (distribution at top) Event 13: Divergence Bottom Zp ≤ -ZH AND ZΔ ≥ ZH Direction: Warning (accumulation at bottom) Event 14: Absorption Positive |Zp| ≤ Z0 AND Zv ≥ ZH AND ZΔ ≥ ZH Direction: Bullish (buy absorption, support forming) Event 15: Absorption Negative |Zp| ≤ Z0 AND Zv ≥ ZH AND ZΔ ≤ -ZH Direction: Bearish (sell absorption, resistance forming) Event 16: Depth Wall Zv ≥ ZH AND |ZΔ| ≥ ZH AND |Zp| ≤ Z0 Direction: Neutral (market depth absorbing) ───────────────────────────────────────────────────────────── CATEGORY C: BUY VS SELL (Events 17-23) Based on: Easley, Kiefer, O'Hara, Paperman (1996), Chordia, Roll, Subrahmanyam (2002) ───────────────────────────────────────────────────────────── Event 17: Aggressive Buy Dominance Zbuy ≥ ZH AND ZΔ ≥ ZH AND Zsell ≤ -ZM Direction: Bullish Event 18: Aggressive Sell Dominance Zsell ≥ ZH AND ZΔ ≤ -ZH AND Zbuy ≤ -ZM Direction: Bearish Event 19: Two-Sided Battle Zbuy ≥ ZH AND Zsell ≥ ZH AND |ZΔ| ≤ Z0 Direction: Neutral (buyers and sellers equally strong) Event 20: Battle with Buy Edge Zbuy ≥ ZH AND Zsell ≥ ZH AND ZM ≤ ZΔ < ZH Direction: Bullish Event 21: Battle with Sell Edge Zbuy ≥ ZH AND Zsell ≥ ZH AND -ZH < ZΔ ≤ -ZM Direction: Bearish Event 22: Hidden Accumulation Zbuy ≥ ZH AND |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Bullish (buy shock without price movement) Event 23: Hidden Distribution Zsell ≥ ZH AND |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Bearish (sell shock without price movement) ───────────────────────────────────────────────────────────── CATEGORY D: PREDICTABILITY (Events 24-26) Based on: Gervais, Kaniel, Mingelgrin (2001), Karpoff (1987) ───────────────────────────────────────────────────────────── Event 24: Volume Shock Positive Drift Zv ≥ ZH AND |Zp| ≤ ZM Direction: Follows price direction Event 25: Volume Shock Negative Drift Zv ≤ -ZH AND |Zp| ≤ ZM Direction: Opposite to price direction Event 26: Abnormal Volume Info Arrival Zv ≥ ZH Direction: Neutral ───────────────────────────────────────────────────────────── CATEGORY E: REVERSAL VS CONTINUATION (Events 27-30) Based on: Campbell, Grossman, Wang (MIT), Llorente, Michaely, Saar, Wang (2002) ───────────────────────────────────────────────────────────── Event 27: High Vol Reversal Risk Zv ≥ ZH Direction: Warning (high volume implies lower positive autocorrelation) Event 28: Low Vol Continuation Risk Zv ≤ -ZH Direction: Follows price direction (trend likely continues) Event 29: Speculation Continuation Zv ≥ ZH AND |ZΔ| ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction Event 30: Risk Sharing Reversal Zv ≥ ZH AND |ZΔ| ≤ Z0 Direction: Warning (potential reversal) ───────────────────────────────────────────────────────────── CATEGORY F: IMBALANCE LAG (Events 31-33) Based on: Chordia, Roll, Subrahmanyam (2002) ───────────────────────────────────────────────────────────── Event 31: Persistent Imbalance Push |ZΔ| ≥ ZM AND |ZΔ | ≥ ZM AND sign(ZΔ) = sign(ZΔ ) Direction: Follows delta direction (persistent pressure) Event 32: Imbalance Pressure Decay (ZΔ ≥ ZM AND ZΔ ≤ -ZM) OR (ZΔ ≤ -ZM AND ZΔ ≥ ZM) Direction: Warning (imbalance sign flip) Event 33: Intraday Imbalance Predicts |ZΔ| ≥ ZM Direction: Follows delta direction ───────────────────────────────────────────────────────────── CATEGORY G: SUPPORT/RESISTANCE (Events 34-36) Based on: Peskir (Manchester) ───────────────────────────────────────────────────────────── Event 34: SR Barrier Event |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Neutral (price stalls with high volume) Event 35: Volume Backed SR Level |Zp| ≤ Z0 AND Zv ≥ ZH AND |ZΔ| ≥ ZM Direction: Follows delta direction Event 36: Volume Poor SR Level |Zp| ≤ Z0 AND Zv ≤ -ZM Direction: Warning (weak S/R without volume) ───────────────────────────────────────────────────────────── CATEGORY H: EXTENDED ANALYSIS (Events 37-50) Based on: Extended market microstructure analysis ───────────────────────────────────────────────────────────── Event 37: Climax Buy Zbuy ≥ ZH AND Zp ≥ ZH AND Zv ≥ ZH Direction: Warning (extreme buying exhaustion, potential top) Event 38: Climax Sell Zsell ≥ ZH AND Zp ≤ -ZH AND Zv ≥ ZH Direction: Warning (extreme selling exhaustion, potential bottom) Event 39: Stealth Accumulation Zbuy ≥ ZM AND |Zp| ≤ Z0 AND Zv ≤ Z0 Direction: Bullish (quiet buying) Event 40: Stealth Distribution Zsell ≥ ZM AND |Zp| ≤ Z0 AND Zv ≤ Z0 Direction: Bearish (quiet selling) Event 41: Volume Divergence Bull Zp ≤ -ZM AND Zv ≤ -ZM Direction: Bullish (price down but volume declining) Event 42: Volume Divergence Bear Zp ≥ ZM AND Zv ≤ -ZM Direction: Bearish (price up but volume declining) Event 43: Delta Price Alignment |Zp| ≥ ZM AND |ZΔ| ≥ ZM AND sign(Zp) = sign(ZΔ) Direction: Follows price direction (strong trend confirmation) Event 44: Extreme Compression |Zp| ≤ Z0 AND Zv ≤ -ZH Direction: Neutral (very low volatility) Event 45: Volatility Expansion |Zp| ≥ ZH AND Zv ≥ ZH Direction: Follows price direction (breakout from compression) Event 46: Buy Exhaustion Zbuy ≥ ZH AND Zp ≤ Z0 Direction: Warning (high buy but price fails) Event 47: Sell Exhaustion Zsell ≥ ZH AND Zp ≥ -Z0 Direction: Warning (high sell but price holds) Event 48: Trend Acceleration |Zp| ≥ ZM AND |Zp| > |Zp | AND Zv ≥ ZM Direction: Follows price direction (increasing momentum) Event 49: Trend Deceleration |Zp| ≥ ZM AND |Zp| < |Zp | AND sign(Zp) = sign(Zp ) Direction: Warning (decreasing momentum) Event 50: Multi Divergence (Zp ≥ ZM AND ZΔ ≤ -ZM) OR (Zp ≤ -ZM AND ZΔ ≥ ZM) + |Zp| ≥ ZM AND Zv ≤ -ZM Direction: Warning (multiple divergence signals) ───────────────────────────────────────────────────────────── CATEGORY I: TREND-INTEGRATED (Events 51-60) Based on: Combined price-volume-delta trend analysis ───────────────────────────────────────────────────────────── Event 51: Trend Breakout Confirmed |Zp| ≥ ZH AND Zv ≥ ZH AND |ZΔ| ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction Event 52: Trend Support Test Zp ≥ ZM AND Z0 ≤ Zp < ZM AND ZΔ ≥ Z0 Direction: Bullish (pullback in uptrend) Event 53: Trend Resistance Test Zp ≤ -ZM AND -ZM < Zp ≤ -Z0 AND ZΔ ≤ -Z0 Direction: Bearish (rally in downtrend) Event 54: Trend Reversal Signal sign(Zp) ≠ sign(Zp ) AND |Zp| ≥ ZM AND |Zp | ≥ ZM Direction: Follows new price direction (momentum flip) Event 55: Channel Absorption |Zp| ≤ Z0 AND Zv ≥ ZH Direction: Neutral (range-bound with volume) Event 56: Trend Continuation Volume |Zp| ≥ ZM AND Zv ≥ ZM AND sign(ZΔ) = dirP AND dirP ≠ 0 Direction: Follows price direction (healthy trend with volume) Event 57: Trend Exhaustion |Zp| ≥ ZM AND Zv ≤ -ZM AND |Zp| < |Zp | Direction: Warning (trend losing steam) Event 58: Range Breakout Pending |Zp| ≤ Z0 AND Zv ≤ -ZH AND |ZΔ| ≥ ZM Direction: Follows delta direction (compression with imbalance) Event 59: Trend Quality High |Zp| ≥ ZM AND sign(ZΔ) = dirP AND Zv ≥ Z0 AND dirP ≠ 0 Direction: Follows price direction (strong aligned signals) Event 60: Trend Quality Low |Zp| ≥ ZM AND sign(ZΔ) ≠ dirP AND dirP ≠ 0 Direction: Warning (conflicting signals) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TREND CHANNEL SYSTEM The trend channel system is adapted from Smart Trader Episode 03 to provide consistent visual context for price action analysis. How It Works: • Divides the chart into blocks based on Z-Score groups • Calculates OHLC (Open, High, Low, Close) for each block • Detects Higher Highs/Higher Lows (uptrend) or Lower Highs/Lower Lows (downtrend) patterns • Draws channel lines connecting block extremes • Classifies by angle: steep angles indicate trends, flat angles indicate ranges Channel Classifications: • UPTREND: Higher highs and higher lows detected • DOWNTREND: Lower highs and lower lows detected • RANGE: Channel angle below threshold (default 10 degrees) Label Information: • Trend direction (UPTREND/DOWNTREND/RANGE) • Channel boundary prices • Distance from current price (absolute and percentage) • Channel angle in degrees ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DASHBOARD The dashboard provides a comprehensive real-time view of all Z-Score metrics and detected events. Dashboard Sections: 1. Header Row Displays indicator name and current calculation mode (CLOSED or LIVE). 2. Metric Rows (Price, Total Volume, Buy Volume, Sell Volume, Delta) Each row displays: • Value: Current metric value • Z: Calculated Z-Score • Visual: Graphical Z-bar showing position relative to mean • Status: Interpretation (Extreme High, Above Avg, Normal, Below Avg, Extreme Low) • Upper: Oldest active upper Z-Line in window (Label Mirror) • Lower: Oldest active lower Z-Line in window (Label Mirror) 3. Event Detection Section • Count of triggered events out of 60 total scenarios • Market Bias: Bull/Bear/Neutral percentage with visual bar • Strongest Event: Highest confidence event currently triggered • #2 Event: Second highest confidence event 4. Footer Shows engine type (Geometry/Intrabar), Z-Score period, calculation basis, and number of valid bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ALERT SYSTEM The indicator uses native alertcondition() functions, keeping the settings menu clean while providing comprehensive alert options in TradingView's alert dialog. Available Alert Categories: • Master Alerts: Any event, Any bullish, Any bearish, Any warning • Single Event Alerts: Individual alerts for key events (Breakout, Climax, Divergence, etc.) • Category Alerts: Alerts by event category (Price-Volume, Order-Flow, etc.) • Confluence Alerts: 2+, 3+, 4+, or 5+ aligned events • Bias Shift Alerts: 10%, 20%, or 30% shifts in market bias • High Confidence Alerts: Events with 60%+, 70%+, 80%+, or 90%+ confidence • Divergence Alerts: Price vs Volume or Price vs Delta divergences ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DATA ACCURACY AND LIMITATIONS This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations when using the Intrabar method. Data Accuracy Levels: • 1T (Tick): Most accurate, real volume distribution per tick • 1S (1 Second): Reasonably accurate approximation • 15S (15 Seconds): Good approximation, longer historical data available • 1M (1 Minute): Rough approximation, maximum historical data range Backtest and Replay Limitations: • Replay mode results may differ from live trading due to data availability • For longer backtest periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks A Note on Data Access: Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable calculations. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ LANGUAGE SUPPORT (TRI-LINGUAL UI) This indicator includes a built-in language switch with three interface languages : • English (EN) • Türkçe (TR) • 한국어 (KO) The selected language updates key interface text such as the Dashboard headers/rows , tooltips , and the Event Engine outputs (event names, category names, and direction labels). Turkish diacritics and Korean Hangul are supported for clean, native readability. Why only three languages? Each additional language requires duplicating strings throughout the code, which increases script size/memory usage and compilation time. To keep the indicator optimized and responsive, language options are intentionally limited to three. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER FOR EDUCATIONAL AND RESEARCH PURPOSES ONLY This indicator is designed as an educational and research tool based on academic market microstructure literature. It is NOT financial advice and should NOT be used as the sole basis for trading decisions. Important Notices: • Past performance does not guarantee future results • All trading involves risk of substantial loss • The indicator's signals are statistical probabilities, not certainties • Always conduct your own research and consult qualified financial advisors • The creator assumes no responsibility for trading losses Research Sources: This indicator is built upon peer-reviewed academic research from: • Journal of Financial and Quantitative Analysis (Cambridge University Press) • Journal of Finance • Journal of Financial Econometrics • MIT Working Papers • arXiv Financial Mathematics
Indicateur Pine Script®
par ata_sabanci
4
CSS Reversal - VAThis indicator identifies a price action reversal pattern known as CSS (Candle Stop Setup). Unlike standard 3-candle patterns, this logic is dynamic and "hunts" for the true peak or valley before confirming a shift in momentum. Core Logic & Rules The script follows a specific sequence of "Initiation, Waiting, and Triggering" to ensure it captures high-probability reversals: 1. Initiation (The Sweep): The process starts when a candle (the Pivot) sweeps the liquidity of the previous candle. Bearish: Candle 2 makes a higher high than Candle 1. Bullish: Candle 2 makes a lower low than Candle 1. 2. Identifying the Extreme: The script tracks the absolute highest high (for bearish) or lowest low (for bullish) during the setup. If a subsequent candle goes higher/lower without triggering a close, the "mark" moves to that new extreme candle. 3. The Waiting Room (Inside Bars): The setup remains active even if several candles follow that do not break out of the Pivot's range. The script can wait indefinitely (e.g., 3, 4, or 5+ candles) as long as the original extreme is not breached. 4. The Trigger (The Confirmation): A signal is only confirmed when a candle closes past the opposite side of the extreme candle's body. Bearish Trigger: A candle closes below the Low of the highest candle. Bullish Trigger: A candle closes above the High of the lowest candle. 5. Retrospective Marking: Once the trigger close occurs, the script automatically places a visual marker (arrow) on the actual extreme candle (the peak or valley), even if that candle occurred several bars ago. Visual Indicators Red Arrow (↓): Placed at the high of the highest candle in a confirmed bearish reversal. Green Arrow (↑): Placed at the low of the lowest candle in a confirmed bullish reversal. Use Cases This script is designed for traders who look for Liquidity Sweeps and Market Structure Shifts. It filters out "fake" reversals where price merely wicks past a level without a solid closing confirmation, and it specifically accounts for "inside bar" periods where price consolidates before making its move.
Indicateur Pine Script®
par vickyatiya1
Smart TrendSmart Trend — TradingView Indicator Documentation © 2026 Arup Sarkar Indicator Name: Smart Trend Version: 1.0 What It Does Smart Trend is a trend detection and momentum analysis indicator for TradingView. It identifies high-probability trend flips, strong momentum moves, volatility expansions, and short-term counter-trend signals. It combines: - Current timeframe trend lines (EMA + SMA) - Higher timeframe EMA context (1H + 4H + Daily) - ATR-based dynamic exits - Volume confirmation Smart Trend is designed to: - Detect trend changes early - Confirm momentum strength - Highlight weakening trends before reversals - Keep charts clean and actionable How It Works 1. Trend Detection: Trend Line (EMA21 + SMA50): represents current trend direction 2. Higher Timeframe EMA (HTF EMA 1H): confirms alignment Trend Conditions: - Uptrend: candle closes above trend line and HTF EMA - Downtrend: candle closes below trend line and HTF EMA - Choppy / Flat: neither uptrend nor downtrend 2. Momentum Strength - Calculated using slope of trend line EMA - Candle colors indicate momentum: * Bullish: green, opacity based on strength * Bearish: red, opacity based on strength * Neutral / Choppy: grey 3. Alerts - Smart Trend sends alerts once per confirmed condition on candle close: - Uptrend Flip (U) — 2-candle confirmation, trend turns bullish - Downtrend Flip (D) — 2-candle confirmation, trend turns bearish - Strong Bullish Momentum — trend up + ATR breakout + volume confirmation - Strong Bearish Momentum — trend down + ATR breakout + volume confirmation - Volatility Expansion — ATR rising - Volatility Expansion After Squeeze — breakout after low-volatility period - Counter-Trend Up — short-term uptrend vs HTF downtrend - Counter-Trend Down — short-term downtrend vs HTF uptrend 4. ATR Dynamic Exits - ATR (Average True Range) over last 50 days is used to calculate dynamic stop levels - Plots longExit and shortExit levels - Helps traders manage risk dynamically based on market volatility 5. Visuals - Trend Line: colored by direction (green/red/gray) - Smoothed 4H+1D EMA: thin orange line for higher timeframe context - Labels: “U” for uptrend flips, “D” for downtrend flips - Counter-trend signals: small triangles above/below bars - ATR exit lines: semi-transparent for clean chart Benefits - Detects trend reversals early - Confirms strong momentum moves - Highlights weakening trends using volume and ATR - Provides dynamic exit levels for risk management - Keeps chart clean and readable - Alerts are actionable and trigger once per pattern confirmation Conclusion Smart Trend is an all-in-one trend and momentum tool for traders who want: - Early detection of trend flips - High-probability momentum signals - Volatility-aware trade management - Minimal visual clutter with maximum actionable insights Smart Trend can be combined with support/resistance levels, higher timeframe analysis, and other indicators to increase confidence and improve trade decisions.
Indicateur Pine Script®
par arupnj2018
[CT] MoBo BandsThis script is the TradingView Pine Script version of MoBo Bands, the Momentum Breakout indicator, and the original creator credited in the code is NPR21, who also notes it was based on an original Thinkorswim concept and then modified and converted to Pine Script by NPR21. At its core, MoBo Bands is a volatility envelope built from a simple moving average and standard deviation, but it’s not meant to be used like a normal Bollinger Band “touch = reversal” tool. It’s designed to identify when price has pushed far enough away from its recent average to qualify as a breakout regime, and then to keep you biased in that regime until a true opposite breakout occurs. The indicator calculates a midline using a simple moving average of your chosen price source over the selected length. It then measures how spread out price has been over that same lookback using standard deviation. From there it builds an upper and lower band by taking the midline and adding or subtracting a user-defined multiple of standard deviation. In this script those multipliers are “Num Dev Up” and “Num Dev Down.” They default to ±0.8, which is tighter than traditional Bollinger settings, meaning the bands are closer to price and the indicator is more willing to declare a breakout state. The “Displace” input simply shifts the plotted bands forward or backward by bars for visual alignment; functionally, the breakout comparisons are being made against the displaced band values, so if you use displacement you are intentionally changing where signals occur in time. The key concept in MoBo is that it separates “where price is right now” from “what state we are in.” First it assigns a raw status called MoboStatus: if the close is above the upper band it becomes bullish breakout state, if the close is below the lower band it becomes bearish breakout state, and if the close is between the bands it is neutral. If the script stopped there, you’d only see signals on the exact bars that closed outside the bands. Instead, it adds a second layer called BreakStatus, which is a persistent regime variable. BreakStatus changes only when a true breakout happens, and it does not reset to neutral when price returns inside the bands. That is the entire purpose of the “recursion” line: once BreakStatus flips bullish, it stays bullish through the inside-band chop until a bearish breakout flips it the other way, and vice versa. This is why the band colors and the band fill behave the way they do. When BreakStatus is bullish, the bands plot green and the filled area between them is green. When BreakStatus is bearish, the bands plot red and the fill becomes red. If price is simply oscillating inside the bands, BreakStatus stays whatever it last was, which is the whole “stay with the breakout bias” philosophy. Because of that design, the most straightforward way to trade it is to treat MoBo as a regime/bias indicator first, and an entry tool second. A bullish regime begins when you get a bullish breakout condition, meaning you had a close above the upper band and BreakStatus flips to bullish. In this script that flip is also where the “Break Out” arrow prints. That event is telling you volatility expansion has pushed price into an upside breakout state, so your default expectation becomes continuation or at least holding above the midline with higher odds of higher highs. A common execution approach is to take the breakout as your initial trigger, then use the band structure to manage the trade: if you want a more aggressive style, you enter on the breakout bar close or on the next bar if it confirms. If you want a more conservative style, you wait for the first pullback after the breakout and enter when price holds above the midline or reclaims the upper band area. Your risk can be framed in a few ways depending on instrument and timeframe: the most “indicator-pure” protective logic is that the bullish regime is invalidated only when price later breaks below the lower band and flips BreakStatus bearish. That is a very wide stop concept, but it reflects the indicator’s intent to ride trends. A tighter, more practical stop for active trading is to use the midline or a recent swing low as the risk point while still respecting the MoBo bias; the idea is you are using MoBo to keep you from fading the move, while your stop is based on structure rather than waiting for a full opposite breakout. A bearish regime is the exact mirror. It begins when a close is below the lower band and BreakStatus flips bearish, which is when the red “Break Down” arrow prints. From that point, you treat rallies into the midline/band area as potential short opportunities as long as the regime remains bearish. More aggressive traders will short the initial breakdown; more conservative traders wait for a bounce that fails back below the midline or for a retest of the lower band zone. Exits can be handled either as “regime exits,” meaning you hold until BreakStatus flips the other way, or as “trade exits,” meaning you scale or exit into targets while staying aligned with the regime until it ends. On trend days, the regime exit can keep you in the move much longer than typical oscillators. On choppy days, a tighter risk plan is needed because a tight band setting can flip more often. The candle coloring addition you asked for simply mirrors the fill state so you can read the regime without looking at the bands. When the fill is green (BreakStatus bullish), the candles are tinted green; when the fill is red (BreakStatus bearish), the candles are tinted red; when neither fill is active, it leaves the candles unchanged. This doesn’t change the logic or signals, it just makes the “state” visually obvious. Where traders usually get the most out of MoBo is by using it in the context it was designed for: volatility expansion and trend participation. If you try to trade it like a mean-reversion Bollinger Band system, you’ll often do the opposite of what it’s signaling. Here, a close outside the band is not “overbought/oversold,” it’s the condition that defines a breakout regime. The best trades tend to come when the breakout occurs in alignment with a higher-timeframe trend or after a compression period, because the band break is then capturing a genuine shift in volatility and direction. If you want it to trigger fewer, higher-quality regimes, increase the length and/or increase the deviation multipliers, because that widens the envelope and demands a more significant move to flip state. If you want earlier, more frequent signals, reduce the length and/or reduce the multipliers, understanding you’ll also increase whipsaw risk.
Indicateur Pine Script®
par ChaosTrader63
2
Mean Deviation Loop | Lyro RSThe MAD Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with robust statistical dispersion measures. This indicator employs a multi-model approach, integrating Bollinger-style MAD bands, for-loop momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions. Indicator Modes Bollinger-Style MAD Bands This mode calculates dynamic volatility bands around price using Mean Absolute Deviation (MAD) instead of standard deviation or RMSE. MAD offers a smoother and more outlier-resistant measure of price dispersion. Upper Band = Dynamic Moving Average + (MAD × Multiplier) Lower Band = Dynamic Moving Average − (MAD × Multiplier) These bands expand and contract with market volatility, helping to identify potential breakout and breakdown zones with reduced sensitivity to extreme price spikes. For-Loop Momentum Scoring Momentum is evaluated by analyzing recent price behavior through a loop-based comparison system applied to a MAD-weighted price series. A rising momentum score indicates strengthening bullish pressure A declining momentum score signals increasing bearish dominance This method emphasizes directional consistency rather than short-term noise. Hybrid Combined Signal This mode combines the outputs of the MAD Bands and For-Loop Momentum Scoring into a unified directional signal. +1 indicates bullish conditions (green) −1 indicates bearish conditions (red) An average of these scores is calculated to generate a combined signal, providing a clearer and more reliable indication of overall market trend. Practical Application Signal Interpretation A buy signal is generated when both the MAD Bands and For-Loop Momentum align bullishly. A sell signal is generated when both components align bearishly. Trend Confirmation The Hybrid Combined Signal serves as a confirmation layer, helping traders validate trend direction and reduce the likelihood of false signals during choppy or low-volatility conditions. ⚠️ Disclaimer This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Indicateur Pine Script®
par LyroRS
12
SMA Squeeze Oscillator█ OVERVIEW SMA Squeeze Oscillator is a momentum oscillator based on the relationship between multiple SMA moving averages. It combines volatility compression analysis (Squeeze), wave-style momentum structure, trend filtering, breakout signals, and divergence detection. The indicator is designed to identify periods of market compression (low volatility), which are often followed by dynamic price moves. Additionally, it visualizes momentum and trend structure in a clean and readable way, without using a classic histogram. █ CONCEPT The core of the indicator is built on three SMA moving averages with different lengths. The distance between them (spread) is compared to ATR, which allows the detection of volatility compression (Squeeze). - When the SMA spread is smaller than ATR × multiplier, the market is considered to be in Squeeze - When the spread expands beyond this threshold, the market exits the Squeeze – often signaling the beginning of an impulse Momentum is calculated from the relationship between the faster SMA and the slower SMAs, then smoothed. Instead of a traditional histogram, the indicator displays continuous momentum waves above and below the zero line, making changes in momentum structure easier to read. An optional SMA trend filter can be used to limit signals to the direction of the current trend. █ FEATURES Calculations - three SMA moving averages - ATR as a volatility measure - Squeeze detection based on SMA spread - wave-based momentum oscillator with smoothing - optional SMA trend filter Visualization - momentum waves above / below the zero line - bullish / bearish trend fills - separate fill and color for Squeeze phases - thick zero line reflecting current trend - wave-style candle coloring based on momentum - first wave markers after exiting Squeeze - bullish and bearish divergence visualization Signals - momentum zero-line cross (Bull / Bear Cross) - first momentum wave after Squeeze - classic bullish and bearish divergences Alerts - Bull Cross - Bear Cross - First Bullish after Squeeze - First Bearish after Squeeze - Bullish Divergence - Bearish Divergence █ HOW TO USE Adding the indicator Paste the code into Pine Editor or search for “SMA Squeeze Oscillator” on TradingView. Main settings - SMA 1 / 2 / 3 – lengths of SMAs used for Squeeze and momentum - ATR Length / Multiplier – Squeeze detection sensitivity - ATR Multiplier = 0 → the indicator does not display Squeeze zones - Momentum Smoothing – smoothing of momentum waves - Enable SMA Filter – trend filter - the current trend is reflected by the zero-line color - price below SMA → bearish trend - price above SMA → bullish trend - when enabled, it filters Bull / Bear Cross and First Bullish / Bearish after Squeeze signals, allowing only those aligned with the trend - Enable candle coloring – wave-style candle coloring - Enable Divergence – divergence detection █ APPLICATION Squeeze & Breakout Squeeze phases indicate low volatility and energy accumulation. A breakout from Squeeze often leads to a strong directional move. The SMA filter is not required – instead, users may apply: - a more advanced trend filter - structural confirmation (level break, correction completion) - additional price-action tools Momentum trading The direction and slope of momentum waves help assess impulse strength and loss of momentum. A momentum reversal can act as an early signal of a correction or potential trend change, often before it becomes visible on price. Divergences The indicator detects classic bullish and bearish divergences. Important notes: - divergences appear with a delay equal to the pivot length required for detection, by default, this delay is two candles - divergences forming on small momentum waves or inside a Squeeze are often misleading and should be treated with caution █ NOTES - the indicator works best when used in market context - Squeeze reflects volatility, not direction - it is not a standalone trading system
Indicateur Pine Script®
par Uncle_the_shooter
Futures Trend SignalerWhat this indicator is Futures Trend Signaler is a compact trend/bias dashboard built for futures (and any liquid symbol) that combines: EMA trend alignment (EMA9 vs EMA21), and Micro price positioning versus a higher‑timeframe EMA (e.g., 15s and 1s price relative to the 1m EMA9), plus crossover markers on the chart to timestamp regime shifts. It’s designed to answer, in seconds: “Is the market in a bullish or bearish EMA structure?” “Are the lower timeframes aligned with the higher timeframe?” “When was the most recent bull/bear crossover?” What it shows (table) The table includes: 1m EMA9 vs EMA21 State: EMA9 > EMA21 / EMA9 < EMA21 / neutral Bias: Bullish / Bearish / Neutral “Last cross” context (so you know what the most recent regime shift was) 15s EMA9 vs EMA21 Same state/bias logic as the 1m row 1s EMA9 vs EMA21 Same state/bias logic as the 1m row 15s Price vs 1m EMA9 Shows whether micro price is above or below the 1m EMA9 1s Price vs 1m EMA9 Same, but even more “micro” This structure gives you a quick “stacked timeframe” view: 1m EMA structure = your baseline regime, 15s/1s EMA structure = your momentum alignment, 15s/1s price vs 1m EMA9 = your immediate pressure/positioning vs the baseline. What it plots (crossover markers) For each EMA crossover set (1m, 15s, 1s), the script plots: Bull cross marker (arrow up) Bear cross marker (arrow down) To keep the chart clean: It keeps only the most recent bull cross and most recent bear cross per tracked timeframe. When a new bull/bear cross happens, the prior marker of that same type/timeframe is removed. Markers are differentiated by: Color and/or a mini label on the marker (e.g., “1m”, “15s”, “1s”), so you can instantly tell which timeframe produced the signal. Inputs / customization Typical controls include: Show/hide table Table position + text size Lower‑timeframe selections (so you can change 15s/1s if your symbol or plan doesn’t support seconds data) Optional marker sizing / visibility settings (if you decide to expose them) Recommended usage Use the 1m EMA9/EMA21 as your baseline bias filter. Use 15s & 1s EMA alignment to confirm momentum is in agreement before entries. Use 15s/1s price vs 1m EMA9 as a quick “pressure” check (continuation vs mean‑reversion risk). Use the most recent crossover markers to avoid trading into a fresh regime change without confirmation. Limitations / notes Seconds‑based signals require seconds data availability for your symbol/account. If not supported, switch those inputs to a higher LTF (e.g., 1m / 5m). Because the indicator uses multi‑timeframe data, responsiveness can depend on your current chart timeframe and how often TradingView updates each series. Disclaimer This indicator is for educational/informational purposes only and does not constitute trading or investment advice. Futures trading involves substantial risk and can result in significant losses. Always manage risk and follow your plan.
Indicateur Pine Script®
par babaflargslugdook
Smart Fear & Greed Index [MarkitTick]💡 This comprehensive technical tool is designed to quantify market sentiment on an asset-specific basis, translating complex price action into a singular, normalized gauge of "Fear" and "Greed." While traditional Fear & Greed indices rely on macro-economic data (like put/call ratios or junk bond demand) generally applied to the broad S&P 500, this script calculates a localized index for the specific chart you are viewing. It synthesizes Momentum, Volatility, Volume, and Price Positioning into a bounded 0-100 oscillator, aiming to identify psychological extremes where market reversals are statistically more likely to occur. ✨ Originality and Utility ● Asset-Specific Sentiment Analysis Most sentiment tools are external to the chart (e.g., news sentiment or broad market indices). The Smart Fear & Greed Index is unique because it internalizes this logic, creating a bespoke psychological profile for any ticker—whether it is Crypto, Forex, or Stocks. It allows traders to see if *this specific asset* is overheated (Greed) or oversold (Fear) relative to its own recent history. ● The "Buy the Fear, Sell the Greed" Logic The script employs a contrarian color-coding philosophy aligned with the famous investment adage: "Be fearful when others are greedy, and greedy when others are fearful." When the indicator shows Fear (Low values), it colors the zone Green, signaling a potential buying opportunity (discount). When the indicator shows Greed (High values), it colors the zone Red, signaling potential downside risk (premium). ● Integrated Divergence Detection Unlike standard oscillators that leave interpretation entirely to the user, this tool includes an automated divergence engine. It detects discrepancies between the sentiment index and price action, plotting lines and labels to highlight potential exhaustion points before they become obvious on the price chart. 🔬 Methodology and Concepts The calculation is driven by a custom User-Defined Type (UDT) called QuantEngine , which aggregates four distinct technical "pillars" to form the final Composite Index. • Pillar 1: Momentum (RSI) The engine utilizes the Relative Strength Index to measure the velocity and magnitude of directional price movements. High momentum contributes to the "Greed" score, while collapsing momentum contributes to "Fear." • Pillar 2: Volatility (Inverted Normalized ATR) This component interprets volatility through a psychological lens. Low Volatility is interpreted as complacency or "Greed" (steady uptrends often have low vol). High Volatility is interpreted as "Fear" (panic selling and erratic ranges often spike volatility). The script normalizes the Average True Range (ATR) and inverts it so that stability adds to the score, and instability subtracts from it. • Pillar 3: Volume Strength Volume is analyzed relative to its moving average. However, raw volume isn't enough; the engine applies directional logic. High relative volume on an Up-Close adds to the Greed score. High relative volume on a Down-Close subtracts, adding to the Fear score. • Pillar 4: Price Position (Stochastic) This calculates where the current close sits relative to the recent High-Low range. Closing near the highs indicates confidence (Greed), while closing near the lows indicates pessimism (Fear). • The Composite & Smoothing These four metrics are averaged to create a raw composite, which is then smoothed via an Exponential Moving Average (EMA) to filter out noise and produce the final, readable "Smart Fear & Greed" line. 🎨 Visual Guide ● The Oscillator Line This is the primary fluctuating line that moves between 0 and 100. Values > 50 suggest positive sentiment. Values < 50 suggest negative sentiment. ● Color-Coded Zones The plot changes color dynamically to reflect the psychological state: Red (70-100): Extreme Greed. The market may be irrationally exuberant. Orange (60-70): Greed. Strong bullish conviction. Yellow (40-60): Neutral. Indecisive or transitionary market. Light Green (30-40): Fear. Sentiment is turning bearish. Bright Green (0-30): Extreme Fear. Panic selling, often a precursor to a value bounce. ● Background Highlights A semi-transparent Red Background appears when the index breaches 75, warning of a potential "Top." A semi-transparent Green Background appears when the index drops below 25, highlighting a potential "Bottom." ● Divergence Elements Red Lines/Labels ("Bear"): Bearish Divergence. Price makes a Higher High, but the Index makes a Lower High. This suggests momentum is waning despite rising prices. Green Lines/Labels ("Bull"): Bullish Divergence. Price makes a Lower Low, but the Index makes a Higher Low. This suggests selling pressure is drying up. 📖 How to Use • Identifying Reversals Wait for the oscillator to enter "Extreme" zones. Do not trade immediately upon entry; wait for the line to exit the extreme zone to confirm the reversal. For example, if the line hits 80 (Red) and then crosses back down below 70, it signals that Greed is fading. • Trend Continuation In a strong trend, the indicator may hover in the Greed (Orange) or Fear (Light Green) zones for extended periods. In these cases, use the Neutral (Yellow) zone crosses as re-entry signals in the direction of the trend. • Divergence Confirmation Use the automated divergence lines as high-conviction triggers. If the background turns Green (Extreme Fear) AND a Bullish Divergence label appears, it provides a stronger technical case for a long position than the zone alone. ⚙️ Inputs and Settings ● Calculation Settings Global Lookback Period (Default: 21): The core lookback window for RSI, ATR, Volume, and Stochastic calculations. Increasing this makes the index slower and less reactive; decreasing it makes it faster. Smoothing Length (Default: 5): Determines how smooth the final line is. Higher numbers reduce "whipsaws" but add lag. Color Main Chart Candles : Colors the chart bars based on Fear/Greed sentiment. ● Divergence Settings Divergence Lookback (Default: 5): Determines the pivot strength required to register a high or low for divergence checks. Show Divergence Lines/Labels: Toggles to hide visual clutter if you only want to see the oscillator. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Normalization Theory The core scientific principle here is Min-Max Normalization. The script takes heterogeneous data types—Price (Dollars/Cents), Volume (Shares/Contracts), and Volatility (Points)—and standardizes them into a unit-less distribution between 0 and 100. This allows for the summation of disparate market forces into a single vector. ● Mean Reversion and Oscillator Bounds The indicator relies on the statistical concept of Mean Reversion. Markets, like elastic bands, can only stretch so far from their average valuation (represented by the 50 line) before snapping back. The "Extreme" zones (Upper and Lower deciles) represent areas of statistical improbability where the likelihood of a continuation decreases and the likelihood of a reversion increases. ● Divergence and Momentum Theory The divergence logic is grounded in the principle that momentum precedes price. Mathematically, price is the integral of velocity. When the derivative (momentum/sentiment) approaches zero or reverses while the function (price) continues, it signals a non-sustainable anomaly in the data series, often resolved by a price correction. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicateur Pine Script®
par MarkitTick
2
Unreached Highs/Lows Oscillator [LuxAlgo]The Unreached Highs/Lows Oscillator highlights the amount of unreached high/low prices as a percentage over time, helping visualize trend strength and momentum from bullish and bearish market participants. 🔶 USAGE This indicator measures the strength of directional price movements, helping traders visualize the strength of both the bullish and bearish market participants. When prices are moving up with strength, the price structure will not come back to retest previous lows. Therefore, unreached lows keep adding up. When prices are moving down with strength, they will not retest previous highs; therefore, unreached highs keep adding up. As we can see on the chart, high readings of unreached highs (red) and low readings of unreached lows (green) are considered bearish, and a downtrend in price confirms this bias. Conversely, high readings of unreached lows and low readings of unreached highs are considered bullish. On the chart, this is reflected as an uptrend. Additionally, the oscillator can reveal significant breakouts on the chart, with unreached highs or lows decreasing rapidly indicating that a large number of highs/lows have been reached. Due to the oscillator being normalized, overbought and oversold levels are included. In this gold chart, we have different examples of how to use the tool in conjunction with price behavior to understand the market. Let's dissect it step by step: 1. Uptrend: Bullish readings are above 80, and bearish readings are below 20. The market is trending up. 2. Range: Mixed readings around 50 for both bullish and bearish; the market is ranging. 3. Uptrend: The same as before. Bullish above 80 and bearish below 20. 4. Pullback: A bullish dip below 80 to 50 and a bearish reading below 20 indicates a pullback. 5. Range: Mixed readings. In this case, it is bullish above and below 80 and bearish above and below 20. The market is ranging. 6. Uptrend: Bullish above 80 and bearish below 20; the market keeps moving up. 7. Pullback: Bullish dips below 80 and bearish rises to 50 indicate a pullback. 8. Uptrend: As before, bullish is above 80 and bearish is below 20; the market is trending up. This Bitcoin chart shows how to use extreme readings of 0 and 100 to detect potential reversals. When both readings are at extreme opposites, we set the threshold level at 100 and 0 instead of the default levels of 80 and 20 to better identify these areas. As we can see, extreme readings at points 1 and 5 identify major reversals that lead to a change in trend. Extreme readings at points 2, 3, 4, and 6 identify minor reversals that do not lead to a change in trend. From the settings panel, traders can adjust the length parameter. A smaller value measures smaller price movements, while a larger value measures larger price movements. A length value of 20 is used by default. The chart shows how different values affect bullish and bearish measures. 🔶 SETTINGS Length: Select the maximum number of highs and lows to be used. 🔹 Style Bullish: Select a color for unreached lows. Bearish: Select a color for unreached highs. Top Threshold: Select the top threshold level and color. Enable the Auto feature to choose the default color. Bottom Threshold: Select the bottom threshold level and color. Enable the Auto feature to choose the default color.
Indicateur Pine Script®
par LuxAlgo
5
SWING ATR BasedWhat does this indicator do? 1. It identifies Market Swings The script monitors price action to detect when a trend changes direction. It uses ATR (Average True Range) to measure volatility, ensuring it doesn't get tricked by small, insignificant price movements. To validate a change in direction (from bullish to bearish, or vice versa), it waits for the price to cover a specific distance (defined by the kRange parameter) and requires at least two significant candles. 2. It plots Support and Resistance zones As soon as a new high or low point is confirmed: In Green (Bull): It draws a support line at the level of the last low. In Red (Bear): It draws a resistance line at the level of the last high. Auto-Cleaning: If the price breaks through a support line, the line turns gray and stops. The script only keeps active (unbroken) levels on the screen. 3. It calculates an "SGE Score" (Market State) This is the "brain" of the script. It assigns a rating to the current trend: +2 (Bullish): The price has broken a resistance. -2 (Bearish): The price has broken a support. 0 (Neutral): The market is indecisive (for example, after a break that contradicts the previous one). Key Feature: This score has a "one-candle delay." It waits for the next candle to close before confirming a score change, which helps avoid reacting too quickly to false alerts. 4. It simplifies visual reading To keep your chart clean and readable: It only highlights the 3 levels closest to the current price (those most likely to be hit soon). It colors the chart candles directly: Green if the score is +2, Red if the score is -2, and Gray if it is neutral. 5. Dashboard In the top-right corner of your screen, it displays a permanent summary: The current score (-2, 0, or 2). The number of active supports and resistances. Summary: This is a "smart" trend detector. Instead of just looking at whether the price is going up or down, it waits for the price to break important structural levels (confirmed by volatility) to tell you: "Caution, the structure has just shifted from bullish to bearish." Recommended Settings: kRange: 1.3 / 1.4 ATR Mult: 0.3 to 0.5 Script created with Claude AI.
Indicateur Pine Script®
par maximesuty3
srd786-Intraday VWAP Price Action IndicatorDISCLAIMER This Pine Script indicator does not constitute financial advice; it is just intended for educational and informational purposes. It functions as a tool for technical analysis that could help traders spot possible trading opportunities. It is crucial to remember that participating in financial markets has a number of risks that might result in large losses and are not suitable for all investors. Users are encouraged to conduct their own thorough investigation and analysis prior to using this indicator. Avoiding trading with money that one cannot afford to lose is essential. It is also advised to seek advice from a certified financial expert. Users must use suitable risk management techniques and recognize that past success does not guarantee future outcomes. Any losses, damages, or other consequences resulting from the usage of this indicator are not the author's responsibility. The user is ultimately responsible for all trading decisions, therefore using this tool is at their own risk. INTRODUCTION The “srd786-Intraday VWAP Price Action Indicator” is a sophisticated Pine Script (version 6) trading tool designed for intraday traders who focus on New York session trading hours. This indicator combines multiple technical analysis concepts including Volume Weighted Average Price (VWAP), Average True Range (ATR) for risk management, swing point detection for support/resistance identification, and momentum analysis through RSI. The primary objective is to generate high-probability long and short signals based on price action confluence with trend, momentum, and key structural levels. 1. VWAP (Volume Weighted Average Price): Shows the "fair" average price based on both price and trading volume. 2. ATR (Average True Range): Measures how much the price typically moves each day. 3. Trend Analysis: Identifies whether the market is going up, down, or sideways. 4. Momentum Indicators: Shows how strong the current price movement is. 5. Support & Resistance: Identifies key price levels where the price might stop or reverse. 6. Swing Points: Finds significant turning points in the price. This indicator is specifically optimized for the New York trading session (9:30 AM to 4:00 PM ET), making it particularly suitable for traders who focus on US market hours. It provides a complete trading framework that includes not only signal generation but also precise trade management levels including entry prices, stop-loss orders, and profit targets based on a configurable reward-to-risk ratio. The philosophy behind this indicator is confluence-based trading. Rather than relying on a single indicator or condition, it requires multiple factors to align before generating a trade signal. This approach filters out lower-probability setups and focuses only on high-quality opportunities where price action, trend direction, momentum, and key technical levels all point in the same direction. CORE CONCEPT AND METHODOLOGY Volume Weighted Average Price (VWAP) VWAP is the cornerstone of this indicator's trading methodology. Unlike a simple moving average that treats all price bars equally, VWAP incorporates volume data into its calculation, giving more weight to bars with higher trading volume. This makes VWAP a more accurate representation of the true average price where the most significant trading activity occurred. The calculation of VWAP is performed using the built-in 'ta.vwap()' function, which computes the cumulative volume-weighted average price from the beginning of the session. For intraday traders, VWAP serves as a critical reference point that indicates whether the current price is trading at a premium (above VWAP) or discount (below VWAP) relative to the session's volume-weighted average. In this indicator, the VWAP source is configurable through the 'vwapSource' parameter, with the default being HLC3 (High + Low + Close / 3). This source selection allows traders to experiment with different price types such as typical price, weighted close, or even custom sources to suit their trading style and market preferences. Average True Range (ATR) for Risk Management The Average True Range, calculated using 'ta.atr()', measures market volatility by decomposing the current range of price movement. ATR does not indicate price direction; instead, it quantifies the degree of price movement or volatility over a specified period. In this indicator, ATR serves dual purposes: determining the distance for limit orders and calculating stop-loss levels. The 'atrLength' parameter (default: 14) controls the lookback period for the ATR calculation. A shorter length makes the indicator more responsive to recent volatility, while a longer length provides a smoother average that may be more suitable for less volatile markets. The 'atrMultiplier' (default: 1.5) determines how many ATR units away the stop-loss is placed from the entry price, allowing traders to adjust their risk exposure based on current market conditions. Swing Detection and Support/Resistance Swing points represent significant turning points in price action where the market has temporarily exhausted its directional momentum. This indicator uses pivot high and pivot low calculations to identify swing highs and swing lows, which then form the basis for dynamic support and resistance levels. The 'swingLength' parameter (default: 5) defines how many bars to the left and right of a potential pivot point must be lower (for pivot highs) or higher (for pivot lows) to confirm the swing point. This lookback period helps filter out minor price fluctuations and focuses on more significant structural levels. Support and resistance levels are stored in arrays ('swingHighArray' and 'SwingLowArray'), with the most recent swing points serving as the primary reference levels. The 'srLookback' parameter (default: 20) controls the overall lookback window and also determines how many swing points to maintain in each array, ensuring that only relevant historical levels are considered. Breakout Detection When a price moves past a major support or resistance level, this is known as a price breakout. This price breakout suggests that there is a possibility of a new trend direction heading forward.Breakout detection eliminates noise, as little price fluctuations or volatility may momentarily drive prices past a threshold without authentic conviction.Detection of breakouts affirms robustness when the price above the threshold by 2%, indicating genuine market interest, and mitigates whipsaws to prevent placing trades based on transient price swings. The Breakout Tolerance parameter, set by default to 2%, regulates the breakout tolerance for the indicator. A price closure above the current high plus a minor tolerance buffer (usually 2%) indicates a potential continuation of upward movement, classified as a Bullish Breakout. Conversely, when the price closes below the recent low plus a minor tolerance buffer (usually 2%), it suggests that the price may continue to decline, which is classified as a Bearish Breakout Down. Trend Identification Trend determination is accomplished through an Exponential Moving Average (EMA) with a configurable length ('trendMaLength', default: 9). The indicator classifies trend into three states: BULLISH (price above EMA with confirmation from the previous bar), BEARISH (price below EMA with confirmation), and SIDEWAYS (price crossing or near the EMA). The EMA is chosen over simple moving averages because it responds more quickly to recent price changes while still providing enough smoothing to filter out noise. The confirmation requirement (both current and previous bar must be on the same side of the EMA) reduces false signals during periods of choppy price action. Momentum Analysis Momentum is measured using the Relative Strength Index (RSI) with a configurable length ('momentumLength', default: 9). RSI values are categorized into five states to provide nuanced momentum readings: STRONG BULL (RSI above 70), BUILDING (RSI between 55 and 70), NEUTRAL (RSI between 45 and 55), WEAKENING (RSI below 45), and STRONG BEAR (RSI below 30). This momentum categorization allows traders to distinguish between strong trending conditions (STRONG BULL/BEAR) and transitions (BUILDING/WEAKENING), providing context for trade signals and helping to avoid entering positions during momentum divergences. CONFIGURATION PARAMETERS VWAP Settings The 'vwapSource' parameter determines which price value is used in the VWAP calculation. The default value of 'hlc3' (High + Low + Close / 3) provides a balanced representation of each bar's price action. Traders can modify this to use typical price ('high + low + close / 3'), weighted close ('high + low + close + close / 4'), or other price types depending on their analytical preferences. ATR Settings The 'atrLength' parameter sets the lookback period for the Average True Range calculation. The default of 14 periods is standard across most trading platforms and timeframes, providing a good balance between responsiveness and smoothness. The 'atrMultiplier' parameter (default: 1.5) scales the ATR value to determine stop-loss distances. A multiplier of 1.5 means the stop-loss is placed 1.5 ATR units away from the entry price, providing enough buffer to accommodate normal volatility while limiting risk. Trade Settings The 'rrRatio' parameter (default: 3.0) establishes the reward-to-risk ratio for trade targets. A ratio of 2.0 means the profit target is twice the distance of the stop-loss from the entry price. The 'limitOrderDistance' parameter (default: 0.5) determines how far below (for long trades) or above (for short trades) the current close the limit order is placed, measured in ATR units. This allows traders to enter positions at better prices while waiting for pullbacks. Swing Detection Settings The 'swingLength' parameter (default: 5) controls pivot identification sensitivity. Higher values identify more significant swing points but may miss shorter-term opportunities. The 'showSwings' boolean parameter toggles the visual display of swing high and low points on the chart. Support & Resistance Settings The 'srLookback' parameter (default: 20) defines how many bars back to search for swing points and support/resistance levels. The 'breakoutTolerance' parameter (default: 0.02 or 2%) adds a small buffer to breakout detection to account for minor penetration of support/resistance levels due to price spikes or slippage. Trend & Momentum Settings The 'trendMaLength' parameter (default: 9) sets the EMA length for trend determination, while 'momentumLength' (default: 9) sets the RSI lookback period. Both should be at least 5 periods for meaningful calculations. Table Settings The 'showTable' parameter (default: true) enables the display of two information tables that provide real-time data on Indicator values and trade levels. SIGNAL GENERATION LOGIC Long Signal Conditions A long signal is generated when all the following conditions are simultaneously true: 1. Session Filter: The trade must occur during New York session hours (9:30 AM - 4:00 PM ET). 2. Trend Confirmation: The trend must be BULLISH (price above EMA with confirmation). 3. Price Position: Current price must be above VWAP, indicating bullish price action. 4. Breakout or No Resistance: Either price is breaking out above resistance level with tolerance, or there is no prior resistance level to overcome. 5. Momentum Alignment: Momentum must be either STRONG BULL or BUILDING. This confluence of conditions ensures that long trades are only taken when the market is trending higher, price is confirming strength by trading above VWAP, and momentum is supportive of continued upward movement. Short Signal Conditions A short signal is generated when all the following conditions are simultaneously true: 1. Session Filter: The trade must occur during New York session hours 2. Trend Confirmation: The trend must be BEARISH (price below EMA with confirmation) 3. Price Position: Current price must be below VWAP, indicating bearish price action 4. Breakout or No Support: Either price is breaking down below support level with tolerance, or there is no prior support level to overcome 5. Momentum Alignment: Momentum must be either STRONG BEAR or WEAKENING Similar to long signals, short trades require alignment across multiple timeframes and analytical approaches, filtering out counter-trend trades and focusing on high-probability setups. TRADE MANAGEMENT FRAMEWORK Entry Price Calculation For long trades, the limit order price is calculated as: 'Close - (ATR Value × Limit Order Distance)'. This places the entry price below the current close, allowing traders to buy on dips while maintaining a favorable entry price. For short trades, the limit order is placed above the current close: 'Close + (ATR Value × Limit Order Distance)'. The limit order distance is expressed in ATR units, making it adaptive to current volatility conditions. In more volatile markets, the limit order will be placed further from the current price, while in calmer markets, it will be closer. Stop-Loss Placement Stop-loss levels are calculated using the ATR multiplier to ensure adaptive risk management. For long trades: 'Entry Price - (ATR Value × ATR Multiplier)'. For short trades: 'Entry Price + (ATR Value × ATR Multiplier)'. This adaptive approach to stop-loss placement means that in volatile markets, stops are wider to avoid being stopped out by normal price fluctuations, while in quieter markets, stops are tighter to limit potential losses. The default multiplier of 1.5 provides approximately 1.5 times the average true range of protection. Target Price Calculation Profit targets are determined by the reward-to-risk ratio: 'Entry Price + (ATR Stop Distance × RR Ratio)' for long trades and 'Entry Price - (ATR Stop Distance × RR Ratio)' for short trades. The default ratio of 2.0 means the target is twice the distance of the stop-loss, providing a favorable risk-reward profile. New York Session Tracking The indicator includes specialized logic for tracking the New York session open price. When a new NY session begins (determined by the 'isNewNySession' variable), the current open price is recorded and maintained throughout the session. This provides a reference point for measuring intraday directional bias from the session's starting level. INFORMATION TABLES Indicators Table This table displays the current price, VWAP value, NY session open price, support level,resistance level, ATR, ATR-scaled stop distance, current trend classification, momentum state with RSI value, and breakout status. All values are color-coded based on their bullish or bearish implications. The VWAP cell is color-coded green if price is above VWAP (bullish) and red if below (bearish), providing instant visual confirmation of price's position relative to this critical level. Trade Levels Table This table shows current signal status (LONG, SHORT, or WAIT), limit order distance in ATR units, calculated limit order price, stop-loss level, and target price with the reward-to-risk ratio displayed. The signal cell is highlighted in green for long signals and red for short signals. ALERT CONDITIONS The indicator includes four alert conditions that can be configured in TradingView: 1. LONG Signal: Triggers when a long signal is generated, providing entry price, stop-loss, and target information. 2. SHORT Signal: Triggers when a short signal is generated with corresponding trade details. 3. Breakout Up: Notifies when price breaks out above resistance level. 4. Breakout Down: Notifies when price breaks down below support level. These alerts enable traders to receive notifications via TradingView's alert system without continuously monitoring the charts. USAGE EXAMPLES AND TRADING SCENARIOS Strong Bullish Trend with VWAP Support In this scenario, price has been trading above the 9-period EMA for multiple bars, confirming a bullish trend. The current price is above VWAP, indicating buyers are willing to pay a premium. A recent swing low has established a support level, and RSI is reading 65, indicating building momentum without being overextended. When price breaks above the recent swing high resistance with a 2% tolerance, the indicator generates a long signal. The trader places a limit order below the current bar's close (0.5 ATR units) and sets the stop-loss 1.5 ATR units below the entry, with a target 2.0 times the stop distance away. Short Setup During Volatile Session During a particularly volatile NY session, price gaps down below VWAP early in the day. The 9-period EMA is declining, and both current and previous bars are below it, confirming a bearish trend. The RSI has dropped to 28, indicating strong bearish momentum. A recent swing high serves as resistance, and when price breaks below the swing low support level, the indicator generates a short signal. The trader enters on a limit order placed 0.5 ATR units above the current price, with the stop-loss 1.5 ATR units above the entry and the target at a 2.0 reward-to-risk ratio. Avoiding Counter-Trend Trades Consider a scenario where price is above VWAP and the RSI reads 72 (overbought), but the price is below the 9-period EMA and the previous bar was also below the EMA. In this case, the trend is classified as BEARISH (or SIDEWAYS) despite the bullish price position relative to VWAP. The indicator will not generate a long signal because the trend condition is not met, protecting the trader from what could be a bear trap or continuation pattern. No Prior Levels Scenario At the beginning of a trading session or after significant volatility has cleared prior swing points, there may be no established support or resistance levels in the lookback window. In this case, the breakout condition 'or na(resistanceLevel)' allows long signals to be generated without requiring a resistance level to be broken, enabling traders to participate in emerging trends without waiting for prior levels to form. BEST PRACTICES AND TIPS Timeframe Selection This indicator is optimized for intraday timeframes (1-minute to 60-minute charts) and specifically for NY session trading. Higher timeframes may produce more reliable signals but fewer opportunities, while lower timeframes will generate more signals but with potentially lower reliability. Traders should backtest on their preferred timeframe before trading live. Market Conditions The indicator performs best in trending markets with clear directional bias. During ranging or sideways markets, the trend condition may oscillate frequently, and VWAP may oscillate around price, reducing signal quality. Consider filtering signals or reducing position size during low-volatility, range-bound conditions. Parameter Optimization While the default parameters have been selected for general applicability, traders should consider optimizing certain parameters for specific markets or instruments. For highly volatile instruments like crude oil or natural gas, increasing the 'atrMultiplier' to 2.0 or 2.5 may provide more appropriate risk management. For less volatile instruments like certain forex pairs, reducing the multiplier to 1.0 or 1.2 may improve signal quality. Multiple Timeframe Analysis For enhanced performance, traders can analyze the trend on a higher timeframe (such as 15-minute or hourly) while taking signals on a lower timeframe (such as 5-minute or 1-minute). This multi-timeframe approach ensures that signals are aligned with the larger trend direction. Risk Management While the indicator provides calculated stop-loss levels, traders should consider their overall position sizing and portfolio risk. The ATR-based stops provide a market-adaptive approach, but individual risk tolerance and account size should ultimately determine position sizing. The 2.0 reward-to-risk ratio is fixed but can be adjusted based on personal preferences or the specific characteristics of the instrument being traded. INTEGRATION WITH TRADINGVIEW Adding the Indicator To add this indicator to a TradingView chart, paste the code into the Pine Script editor and click "Add to Chart." The indicator will appear in the chart's sidebar and begin calculating immediately once sufficient historical data is available. Configuring Alerts To set up alerts, right-click on any of the alert conditions in the indicator's settings panel (long signal, short signal, breakout up, or breakout down) and select "Add Alert." Configure the alert frequency and notification methods (push notification, email, webhook, etc.) according to your preferences. Customization All input parameters can be adjusted through the indicator's settings panel without modifying the source code. Traders can experiment with different VWAP sources, ATR lengths and multipliers, swing detection parameters, and table display options to suit their trading style and market preferences. LIMITATIONS AND CONSIDERATIONS Session Dependency The indicator is specifically designed for NY session trading and will not generate signals outside these hours. Traders focused on other sessions or 24-hour markets may need to modify the session string to match their trading hours. Historical Data Requirements The indicator requires sufficient historical data to accurately calculate swing points and support/resistance levels. On lower timeframe charts with limited history, the initial signals may be less reliable until adequate swing points are identified. Lag in Swing Detection By definition, swing points are confirmed after the price has moved away from them, introducing some lag into support/resistance identification. Traders should be aware that the most recent swing point may not be confirmed until several bars after it occurs. Not Financial Advice This indicator is a technical analysis tool and should not be construed as financial advice. Traders are responsible for their own research and risk management decisions. Past performance of any trading system does not guarantee future results. SUMMARY The code follows a logical flow: • Version and Declaration: Pine Script version 6 indicator declaration with overlay enabled • Input Parameters: All user-configurable settings grouped by category • Session Logic: New York session tracking and open price recording • Core Calculations: VWAP, ATR, EMA, RSI, swing points • Support/Resistance Logic: Array-based storage and retrieval of swing levels • Trend and Momentum Classification: Categorization of current market state • Signal Generation: Confluence-based long and short conditions • Trade Level Calculations: Entry, stop-loss, and target pricing • Visual Plots: Hidden plots for alert data access • Information Tables: Real-time display of key values • Alert Conditions: Four configurable alert triggers This structured approach ensures clarity, maintainability, and extensibility for future modifications or enhancements.
Indicateur Pine Script®
par srd786
Smart Trader, Episode 02, by Ata Sabanci | Battle of Candles ⚠️ CRITICAL: READ BEFORE USING ⚠️ This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations. Please understand the following limitations before using: 📊 DATA ACCURACY LEVELS: • 1T (Tick) — Most accurate, real volume distribution per tick • 1S (1 Second) — Reasonably accurate approximation • 15S (15 Seconds) — Good approximation, longer historical data available • 1M (1 Minute) — Rough approximation, maximum historical data range ⚠️ BACKTEST & REPLAY LIMITATIONS: • Replay mode results may differ from live trading due to data availability • For longer back test periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks 💡 A NOTE ON TOOLS: Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure. 📌 OVERVIEW Smart Trader Episode 02: Battle of Candles is an advanced educational indicator that combines multiple analysis engines to help traders identify market scenarios and understand market dynamics. This is NOT financial advice or a trading signal service — it's a learning tool designed to help you understand how institutional traders might interpret price action. The indicator integrates 7 major analysis engines into a unified dashboard, providing real-time insights into volume flow, trend structure, market phases, and potential trade setups. ⚡ KEY FEATURES 🎯 16-Pattern Scenario Engine Automatically detects and classifies market conditions into 16 distinct scenarios, from strong continuation moves to potential reversals and traps. 💰 Trade Advisor Panel Aggregates all signals into actionable suggestions with confidence levels, suggested entry/SL/TP levels, and risk/reward calculations. 📊 Volume Engine Splits volume into buy/sell components using either Geometry (candle shape) or Intrabar (LTF data) methods for precise delta analysis. 📈 CVD (Cumulative Volume Delta) Tracks the running total of buying vs selling pressure to identify accumulation, distribution, and divergences. 🎯 Stop-Hunt Detection Identifies potential stop-hunt patterns where price sweeps liquidity levels before reversing. 📐 Pure Structure Trend Engine Zero-lag trend detection based on swing highs/lows (HH/HL/LH/LL) without any lagging indicators. ⚡ Effort vs Result Analysis Measures energy spent (volume) versus ground taken (price movement) to detect stalls, breakthroughs, and exhaustion. 🎯 SCENARIO ENGINE — 16 Market Patterns The Scenario Engine analyzes multiple factors (candle anatomy, volume, forces, CVD, wick analysis) to classify each candle into one of 16 scenarios: Continuation Scenarios (1-3) 1. ⚔️ STRONG MOVE — Big body candle (>60%) with volume confirming direction. Indicates strong momentum continuation. 2. 🛡️ ABSORPTION — One side attacks but the other absorbs the pressure. Price holds despite volume. Continuation expected in the absorbing side's favor. 3. 📉 PULLBACK — Small move against the trend with low volume. Indicates a healthy retracement before trend continuation. Reversal Scenarios (4-6, 13-16) 4. 💥 REJECTION — Big wick (>40%) with small body and high volume. Price was rejected at a level, potential reversal. 5. 🪤 TRAP — Pin direction disagrees with delta. Extreme wick size. Looks bullish/bearish but the opposite may happen. 6. 😫 EXHAUSTION — High energy spent (volume) but low ground taken (price movement). Both sides active but momentum fading. 13. 🔄 CVD BULL DIV — Price falling but CVD rising. Hidden buying detected (accumulation). Potential bullish reversal. 14. 🔄 CVD BEAR DIV — Price rising but CVD falling. Hidden selling detected (distribution). Potential bearish reversal. 15. 🎯 STOP HUNT BULL — Shorts were liquidated below support. Price swept liquidity and reversed. Expect bullish move. 16. 🎯 STOP HUNT BEAR — Longs were liquidated above resistance. Price swept liquidity and reversed. Expect bearish move. Range/Stalemate Scenarios (7-9) 7. ⚖️ DEADLOCK — Market in balance. Force ratio between 0.4-0.6. Low volume. No side winning. 8. 🔥 BATTLE — High volume fight in a range. Both sides attacking. Wicks on both ends of candle. 9. 🎯 WAITING — Building phase with quiet volume. Market is preparing but no trigger yet. Wait for breakout. Pre-Breakout Scenarios (10-12) 10. 🚀 BULL SETUP — Buyers accumulating in a building phase. Positive delta building. Bullish pressure growing. 11. 💣 BEAR SETUP — Sellers distributing in a building phase. Negative delta building. Bearish pressure growing. 12. ⚡ BREAKOUT — Price at boundary with strong candle and volume supporting. Imminent breakout expected. 💰 TRADE ADVISOR ENGINE The Trade Advisor aggregates all signals from the different engines into a single actionable output. It uses a weighted scoring system: Scoring Weights: • Scenario Signal: 30% • Trend Alignment: 20% • CVD Momentum: 15% + Divergence Bonus • Pin Forces: 15% • Liquidity Sweep: 12% • Stop-Hunt Detection: 10% • Effort vs Result: 10% Possible Actions: • ⏳ WAIT — Edge not strong enough (stay patient) • 🟢 LONG ENTRY — Buyers have strong advantage + signals align • 🔴 SHORT ENTRY — Sellers have strong advantage + signals align • ⚠️ CLOSE LONG/SHORT — Position at risk (reversal/trend flip) • 🛑 STOP LOSS — Price hit risk threshold • 💰 TAKE PROFIT — Target threshold reached 📊 EXTENDED INFO PANEL (Detailed Explanations) The Extended Info panel is hidden by default (toggle: Show Extended Info in settings). It provides detailed metrics that feed into the main engines: CVD ANALYSIS What is CVD? Cumulative Volume Delta (CVD) is the running total of Buy Volume minus Sell Volume. It reveals the underlying buying/selling pressure that may not be visible in price alone. CVD Value & Slope: • ↗ Rising: CVD increasing = net buying pressure (bullish) • ↘ Falling: CVD decreasing = net selling pressure (bearish) • → Flat: No clear pressure direction Accumulation vs Distribution: • Accumulation %: Shows buying pressure strength (0-100). High accumulation with CVD rising = strong bullish bias. • Distribution %: Shows selling pressure strength (0-100). High distribution with CVD falling = strong bearish bias. Divergence Alerts: • ⚠️ BULLISH DIVERGENCE: Price falling but CVD rising. Hidden buying = potential reversal UP. • ⚠️ BEARISH DIVERGENCE: Price rising but CVD falling. Hidden selling = potential reversal DOWN. WICK ANALYSIS Wick Torque: Torque measures the "rotational force" from wicks. It's calculated from wick length, volume, and body efficiency. • Positive Torque (Bullish): Bottom wick power dominates. Buyers defended lower prices. • Negative Torque (Bearish): Top wick power dominates. Sellers defended higher prices. • ⚡ High Torque (>30): Strong signal, significant wick rejection occurred. Stop-Hunt Detection: The engine detects when price has likely swept stop-losses clustered at key levels: • Stop Hunt Risk %: Likelihood score (0-100). Above 55% = confirmed hunt. • "Shorts hunted": Price swept below support, liquidating shorts, expect bounce UP. • "Longs hunted": Price swept above resistance, liquidating longs, expect drop DOWN. LIQUIDITY SWEEPS This section appears only when a liquidity sweep is detected. The engine monitors for price sweeping recent highs/lows and then reversing: • 🎯 LIQUIDITY SWEPT ABOVE: Price broke recent highs but closed back below. Longs trapped, expect DOWN. • 🎯 LIQUIDITY SWEPT BELOW: Price broke recent lows but closed back above. Shorts trapped, expect UP. POWER BALANCE The Power Balance meter shows the real-time strength comparison between buyers and sellers. Force Ratio: • 0% = Complete seller dominance • 50% = Perfect balance • 100% = Complete buyer dominance Visual Bar: • Left side (▓): Bear territory • Right side (▓): Bull territory • The bar is smoothed over recent history to reduce noise. EFFORT vs RESULT This section measures the efficiency of price movement relative to volume expended. Energy: How much volume was spent relative to the average. Energy > 1.0x means above-average volume activity. Ground: How much price movement occurred relative to average range. Ground > 1.0x means above-average price movement. STALL Warning: A STALL is detected when high energy is spent but low ground is taken (high effort, low result). This often indicates institutional battle, exhaustion, or imminent reversal. MARKET PHASE The Phase Engine classifies the current market regime: RANGE : No clear trend. Price confined to middle of channel. Low ADX. Balanced forces. Trade breakouts with caution. BUILDING : Compression/preparation phase. Channel tightening or boundary penetration without follow-through. Watch for breakout direction. TRENDING : Active directional move. Clear slope, good efficiency, price on trending side of channel. Favor pullback entries. Strength: 0-100% score combining slope, volume validity, and force/efficiency filters. Bars: How many candles the current phase has persisted. TRACK RECORD (Validation Panel) Enable with Show Validation Panel in settings. This section tracks the historical accuracy of scenario predictions: Accuracy: Percentage of validated predictions that were correct. Best/Worst Scenario: Shows which scenarios have the highest and lowest accuracy on the current symbol. Recent Signals: Last 5 predictions with their outcomes. ✓ = correct, ✗ = wrong, ⏳ = pending validation. ⚙️ SETTINGS GUIDE 📊 Volume Analysis Volume Calculation: Choose Geometry (estimates from candle shape) or Intrabar (precise LTF data). Intrabar Resolution: LTF for precise mode. Try 1S, 15S, or 1T. Must be lower than chart timeframe. History Depth: Candles stored in memory (5-50). Higher = more context, slower. Memory Lookback: Bars for moving averages and Z-scores (10-100). 🏷️ Market Phase Range Zone Width: How much of channel center is considered "range" (0.1-0.8). Trend Sensitivity: Minimum slope to detect trending. Lower = more sensitive. Min Episode Length: Minimum bars before phase can change. Prevents flickering. 🎯 Scenarios Min Confidence to Show: Only display scenarios above this confidence level (30-90). Bars to Validate: How many bars to wait before checking if prediction was correct. Success Move %: Minimum price movement to consider prediction successful. 💰 Trade Advisor Min Confidence for Entry: Minimum confidence to suggest a trade entry (50-90). Default Risk %: Stop loss distance as % of price (0.5-5.0). Min Risk/Reward: Minimum acceptable R:R ratio (1.0-5.0). 🔔 ALERT CONDITIONS The indicator provides the following alert conditions you can configure: • 🟢 LONG Entry Signal • 🔴 SHORT Entry Signal • ⚠️ Close LONG Signal • ⚠️ Close SHORT Signal • 🛑 STOP LOSS Alert • 💰 Take Profit Alert • 🚨 High Urgency Signal ⚠️ IMPORTANT DISCLAIMER EDUCATIONAL TOOL ONLY This indicator is designed for educational purposes to help users identify different market scenarios and understand how various signals might be interpreted. The Trade Advisor is NOT a recommendation to buy, sell, or invest. • Past performance does not guarantee future results • All trading involves risk of loss • The creator is not a licensed financial advisor • Always do your own research (DYOR) • Consult a qualified financial advisor before making any investment decisions By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
Indicateur Pine Script®
par ata_sabanci
6
Arbitrage Matrix [LuxAlgo]The Arbitrage Matrix is a follow-up to our Arbitrage Detector that compares the spreads in price and volume between all the major crypto exchanges and forex brokers for any given asset. It provides traders with a comprehensive view of the entire marketplace, revealing hidden relationships among different exchanges for the same asset and offering easy, visual comparisons. 🔶 USAGE Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread. For begginers this tool is a clear snapshot of how different markets value the same asset, making global price dynamics easy to grasp. For advanced traders it is a powerful scanner for arbitrage setups, helping you identify where the biggest opportunities lie in real time. Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders: Understand market inefficiencies Avoid trading at unfavorable prices Identify potential profit opportunities across exchanges By default, the tool searches all the enabled sources for the asset in the chart. It uses crypto exchanges as sources for crypto assets and forex brokers for all other assets. The data is displayed on a dashboard, which is the tool's only visual element. Traders can enable or disable any exchange or broker from the settings panel. All are enabled by default. 🔹 Displayable Data Traders can choose from four types of data to display: last price, last volume, average price, and average volume. Note that price and volume data may not be available for all assets at all sources, and sources without data will not be displayed. As the image shows, each chart displays a different type of data for the same asset. In this case, the asset is ETHUSDT. 🔹 Reading the Matrix Traders must read the data in a row-by-column format, as shown in the following example. Assume that we are charting BTCUSDT Daily. In the row, we have Exchange A; in the column, we have Exchange B. The data is the average price, and the value is 100. The default length for the average is 20. It reads like this: The average BTCUSDT price over the last 20 days is $100 higher on Exchange A than on Exchange B. If the value were -100, it would mean that the average price is $100 lower in Exchange A than in Exchange B. 🔹 Matrix Style Traders can change the colors and disable the background gradient, which is enabled by default. They can also fine-tune the location and dashboard size from the settings panel. 🔶 SETTINGS Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart. Average Length: Select the length for the price and volume averages. Crypto Exchanges: Enable or disable any available exchange. Forex Brokers: Enable or disable any available broker. 🔹 Dashboard Data: Select the data to display. Position: Select the dashboard location. Size: Select the dashboard size. 🔹 Style Bullish: Select bullish color. Bearish: Select bearish color. Background Gradient: Enable background gradient color.
Indicateur Pine Script®
par LuxAlgo
4
Ichimoku + EMA + RSI [Enhanced]# **Ichimoku + EMA + RSI Strategy - User Instructions** --- ## **📋 TABLE OF CONTENTS** 1. (#installation) 2. (#strategy-overview) 3. (#parameter-configuration) 4. (#understanding-the-dashboard) 5. (#entry--exit-rules) 6. (#best-practices) 7. (#optimization-guide) 8. (#troubleshooting) --- ## **🚀 INSTALLATION** ### **Step 1: Add to TradingView** 1. Open TradingView.com 2. Click **Pine Editor** (bottom of screen) 3. Click **"New"** → Select **"Blank indicator"** 4. Delete all default code 5. **Copy and paste** the complete script 6. Click **"Save"** (give it a name: "Ichimoku EMA RSI Strategy") 7. Click **"Add to Chart"** ### **Step 2: Verify Installation** ✅ You should see: - Orange **200 EMA** line - Blue **Tenkan** line - Red **Kijun** line - Green/Red **Cloud** (Ichimoku cloud) - **Dashboard** in top-right corner - **Strategy Tester** tab at bottom --- ## **📊 STRATEGY OVERVIEW** ### **What This Strategy Does** Combines three powerful technical indicators to identify high-probability trades: | Component | Purpose | |-----------|---------| | **200 EMA** | Determines overall trend direction | | **Ichimoku Cloud** | Provides support/resistance and momentum | | **RSI** | Filters momentum strength | | **Dashboard** | Real-time signal analysis | ### **Trading Logic** - **LONG**: Enter when all bullish conditions align - **SHORT**: Enter when all bearish conditions align - **EXITS**: Automatic via trailing stops, cloud breach, or TK cross reversal --- ## **⚙️ PARAMETER CONFIGURATION** ### **🔵 Trend Filter Settings** ``` EMA Length: 200 (default) ``` - **Lower (100-150)**: More sensitive, faster signals - **Higher (250-300)**: More stable, slower signals - **Recommendation**: Keep at 200 for most timeframes --- ### **🟢 RSI Settings** ``` RSI Length: 14 (default) RSI Long Minimum: 55 RSI Short Maximum: 45 ``` **Adjustment Guide:** - **Aggressive** (more signals): Long=50, Short=50 - **Balanced** (default): Long=55, Short=45 - **Conservative** (fewer signals): Long=60, Short=40 --- ### **🟡 Ichimoku Settings** ``` Tenkan Period: 9 Kijun Period: 26 Senkou B Period: 52 Displacement: 26 ``` **Standard Configurations:** | Timeframe | Tenkan | Kijun | Senkou B | |-----------|--------|-------|----------| | **1H - 4H** | 9 | 26 | 52 | | **15m - 1H** | 7 | 22 | 44 | | **Daily** | 9 | 26 | 52 | **Filters:** - ✅ **Require Chikou Confirmation**: Adds extra validation (recommended) - ✅ **Require Cloud Position**: Price must be above/below cloud (recommended) --- ### **🔴 Risk Management** ``` ATR Length: 14 ATR Stop Loss Multiplier: 2.0 ATR Take Profit Multiplier: 3.0 Min Bars Between Trades: 3 ``` **Risk/Reward Profiles:** | Profile | SL Multiplier | TP Multiplier | Description | |---------|---------------|---------------|-------------| | **Conservative** | 2.5 | 4.0 | Wider stops, higher R:R | | **Balanced** | 2.0 | 3.0 | Default settings | | **Aggressive** | 1.5 | 2.5 | Tighter stops, faster exits | --- ### **🎨 Display Settings** ``` Show Dashboard: ON Show Entry Signals: ON ``` - **Dashboard**: Shows real-time analysis - **Entry Signals**: Green/Red arrows on chart --- ## **📈 UNDERSTANDING THE DASHBOARD** ### **Dashboard Components** ``` ┌─────────────────────┬──────────┐ │ Component │ Status │ ├─────────────────────┼──────────┤ │ EMA Trend │ BULL/BEAR│ │ Cloud │ ABOVE/BELOW/INSIDE│ │ TK Cross │ BULL/BEAR│ │ RSI │ 55.3 │ │ Chikou │ BULL/BEAR│ │ Signal │ STRONG LONG│ └─────────────────────┴──────────┘ ``` ### **Signal Interpretation** | Signal | Score | Meaning | Action | |--------|-------|---------|--------| | **STRONG LONG** | 7+ | All conditions aligned | High confidence LONG | | **LONG** | 4-6 | Most conditions met | Moderate confidence | | **NEUTRAL** | <4 | Mixed signals | Wait for clarity | | **SHORT** | 4-6 | Bearish bias | Moderate SHORT | | **STRONG SHORT** | 7+ | All bearish conditions | High confidence SHORT | --- ## **📍 ENTRY & EXIT RULES** ### **✅ LONG ENTRY CONDITIONS** All must be TRUE: 1. ✅ Price **above** 200 EMA 2. ✅ Price **above** Ichimoku Cloud 3. ✅ Tenkan **crosses above** Kijun (TK Bull Cross) 4. ✅ RSI **above** 55 5. ✅ Chikou **above** price 26 bars ago 6. ✅ Minimum bars since last trade met **Visual Confirmation:** - 🟢 Green triangle **below** candle - Dashboard shows **"STRONG LONG"** --- ### **❌ LONG EXIT CONDITIONS** Any ONE triggers exit: 1. ❌ Price closes **below** cloud bottom 2. ❌ Tenkan **crosses below** Kijun 3. ❌ ATR trailing stop hit (2.0 × ATR) 4. ❌ Take profit hit (3.0 × ATR) --- ### **✅ SHORT ENTRY CONDITIONS** All must be TRUE: 1. ✅ Price **below** 200 EMA 2. ✅ Price **below** Ichimoku Cloud 3. ✅ Tenkan **crosses below** Kijun (TK Bear Cross) 4. ✅ RSI **below** 45 5. ✅ Chikou **below** price 26 bars ago 6. ✅ Minimum bars since last trade met **Visual Confirmation:** - 🔴 Red triangle **above** candle - Dashboard shows **"STRONG SHORT"** --- ### **❌ SHORT EXIT CONDITIONS** Any ONE triggers exit: 1. ❌ Price closes **above** cloud top 2. ❌ Tenkan **crosses above** Kijun 3. ❌ ATR trailing stop hit (2.0 × ATR) 4. ❌ Take profit hit (3.0 × ATR) --- ## **💡 BEST PRACTICES** ### **Recommended Timeframes** | Timeframe | Trading Style | Signals/Week | |-----------|---------------|--------------| | **15m** | Scalping | 20-30 | | **1H** | Day Trading | 10-15 | | **4H** | Swing Trading | 5-10 | | **Daily** | Position Trading | 2-5 | --- ### **Asset Classes** ✅ **Best Performance:** - Major Forex pairs (EUR/USD, GBP/USD) - Crypto (BTC/USD, ETH/USD) - Major indices (SPX, NAS100) ⚠️ **Use Caution:** - Low liquidity pairs - Highly volatile altcoins - Stocks with gaps --- ### **Risk Management Rules** ``` 1. Never risk more than 2% per trade 2. Use the built-in ATR stops (don't override) 3. Respect the "Min Bars Between Trades" cooldown 4. Don't trade during major news events 5. Monitor dashboard - only trade STRONG signals ``` --- ## **🔧 OPTIMIZATION GUIDE** ### **Step 1: Run Initial Backtest** 1. Open **Strategy Tester** tab (bottom of screen) 2. Set date range (minimum 6 months) 3. Review: - **Net Profit** - **Win Rate** (target: >50%) - **Profit Factor** (target: >1.5) - **Max Drawdown** (target: <20%) --- ### **Step 2: Optimize Parameters** **If Win Rate is Low (<45%):** - Increase RSI thresholds (Long=60, Short=40) - Enable both Chikou + Cloud filters - Increase "Min Bars Between Trades" to 5 **If Too Few Signals:** - Decrease RSI thresholds (Long=50, Short=50) - Reduce EMA to 150 - Adjust Ichimoku to faster settings (7/22/44) **If Drawdown is High (>25%):** - Increase ATR Stop Loss Multiplier to 2.5 - Add longer cooldown period (5+ bars) - Trade only STRONG signals --- ### **Step 3: Forward Test** ``` 1. Paper trade for 2-4 weeks 2. Compare results to backtest 3. Adjust if live results differ significantly 4. Only go live after consistent paper trading success ``` --- ## **🛠️ TROUBLESHOOTING** ### **Problem: No Signals Appearing** **Solutions:** - Check RSI levels aren't too restrictive - Verify timeframe is appropriate (try 1H or 4H) - Ensure both filters aren't enabled on ranging markets - Review dashboard - components may be conflicting --- ### **Problem: Too Many Losing Trades** **Solutions:** - Enable **both** Chikou + Cloud filters - Increase RSI thresholds (more conservative) - Only trade when dashboard shows "STRONG" signals - Increase cooldown period to avoid overtrading --- ### **Problem: Dashboard Not Showing** **Solutions:** - Verify "Show Dashboard" is enabled in settings - Check chart isn't zoomed out too far - Refresh chart (F5) - Re-add indicator to chart --- ### **Problem: Stops Too Tight/Wide** **Solutions:** - **Too Tight**: Increase ATR Stop Loss Multiplier to 2.5-3.0 - **Too Wide**: Decrease to 1.5-1.8 - Verify ATR Length is appropriate for timeframe - Consider asset volatility (crypto needs wider stops) --- ## **📞 QUICK REFERENCE CARD** ``` ═══════════════════════════════════════════════════ STRATEGY QUICK REFERENCE ═══════════════════════════════════════════════════ BEST TIMEFRAMES: 1H, 4H, Daily BEST ASSETS: Major Forex, BTC, ETH, Indices RISK PER TRADE: 1-2% of capital LONG ENTRY: ✓ Price > 200 EMA ✓ Price > Cloud ✓ TK Bull Cross ✓ RSI > 55 ✓ Dashboard = STRONG LONG SHORT ENTRY: ✓ Price < 200 EMA ✓ Price < Cloud ✓ TK Bear Cross ✓ RSI < 45 ✓ Dashboard = STRONG SHORT EXITS: × Cloud breach × TK reverse cross × ATR trailing stop × Take profit (3:1 R:R) ═══════════════════════════════════════════════════ ``` --- ## **⚠️ DISCLAIMER** This strategy is for **educational purposes only**. Always: - Backtest thoroughly on your specific assets - Paper trade before going live - Never risk more than you can afford to lose - Past performance ≠ future results - Consider market conditions and your risk tolerance --- **Happy Trading! 📈** TradingView — Track All Markets Where the world charts, chats, and trades markets. We're a supercharged super-charting platform and social network for traders and investors. Free to sign up.
Stratégie Pine Script®
par D4V3YZ