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Dashboard — Vol & PriceDashboard for traders Indicator Description 1. Prev Day High What it shows: the previous trading day's high. Why it shows: a resistance level. Many traders watch to see if the price will hold above or below this level. A breakout can signal buying strength. 2. Prev Day Low What it shows: the previous day's low. Why it shows: a support level. If the price breaks downwards, it signals weakness and a possible continuation of the decline. 3. Today What it shows: The difference between the current price and yesterday's close (in absolute values ​​and as a percentage). Color: green for an increase, red for a decrease. Why it shows: immediately shows how strong a gap or movement is today relative to yesterday. This is an indicator of current momentum. 4. ADR, % (Average Daily Range) What it shows: Average daily range (High – Low), expressed as a percentage of the closing price, for the selected period (default 7 days). Why it's useful: To understand the "normal" volatility of an instrument. For example, if the ADR is 3%, then a 1% move is small, while a 6% move is very large. 5. ATR (Average True Range) What it shows: Average fluctuation range (including gaps), in absolute points, for the specified period (default 7 days). Why it's useful: A classic volatility indicator. Useful for setting stops, calculating position sizes, and identifying "noise" movements. 6. ATR (Today), % What it shows: How much the current movement today (from yesterday's close to the current price) represents in % of the average ATR. Why it shows: Shows whether the instrument has "played out" its average range. If the value is already >100%, there is a high probability that the movement will begin to slow. 7. Vol (Today) What it shows: Current trading volume for the day (in millions/billions). Comparison with yesterday as a percentage (for example: 77.32M (-52.78%)). Color: green if the volume is higher than yesterday; red if lower. Why it shows:Quickly shows whether the market is active today. Volume = fuel for price movement. 8. Avg Vol (20d) What it shows: Average daily volume over the last 20 trading days. Why it's useful:"normal" activity level. It's a convenient backdrop for assessing today's turnover. 9. Rel. Vol (Today), % (Relative Volume) What it shows: Deviation of the current volume from the average (20 days). Formula: `(today / average - 1)` * 100`. +30% = volume 30% above average, -40% = 40% below average. Color: green for +, red for –. Why it's useful:A key indicator for a trader. If RelVol > 100% (green), the market is "charged," and the movement is more significant. If low, activity is weak and movements are less reliable. 10. Normalized RS (Relative Strength) What it shows: the relative strength of a stock to a selected benchmark (e.g., SPY), normalized by the period (default 7 days). 100 = same result as the market. > 100 = the stock is stronger than the index. <100 = weaker than the index. Why it's needed: filtering ideas. Strong stocks rise faster when the market rises, weak stocks fall more sharply. This helps trade in the direction of the trend and select the best candidates. In summary: Prev High / Low — key support and resistance levels. Today — an instant understanding of the current momentum. ADR and ATR — volatility and potential movement. ATR (Today) — how much the instrument has already "run." Vol + Rel.Vol — activity and confirmation of the movement's strength. RS — selecting strong/weak leaders against the market.
Pine Script®指標
由finrangecom提供
MPO4 Lines – Modal Engine█ OVERVIEW MPO4 Lines – Modal Engine is an advanced multi-line modal oscillator for TradingView, designed to detect momentum shifts, trend strength, and reversal points through candle-based pressure analysis with multiple fast lines and a reference slow line. It features divergence detection on Fast Line A, overbought/oversold return signals, dynamic coloring modes, and layered gradient visualizations for enhanced clarity and decision-making. █ CONCEPT The indicator is built upon the Market Pressure Oscillator (MPO) and serves as its expanded evolution, aimed at enabling broader market analysis through multiple lines with varying parameters. It calculates modal pressure using candle body size and direction, weighted against average body size over a lookback period, then normalized and smoothed via EMA. It generates four distinct oscillator lines: a heavily smoothed Slow Line (trend reference), two Fast Lines (A & B) for momentum and support/resistance, and an optional Line 4 for additional confirmation. Divergence is calculated solely on Fast Line A, with visual gradients between lines and bands for intuitive interpretation. █ WHY USE IT? - Multi-Layer Momentum: Combines slow trend reference with dual fast lines for precise entry/exit timing. - Divergence Precision: Bullish/bearish divergences on Fast Line A with labeled confirmation. - OB/OS Return Signals: Clear buy/sell markers when Fast Line A exits oversold/overbought zones. - Dynamic Visuals: Gradient fills, line-to-line shading, and band gradients for instant market state recognition. - Flexible Coloring: Slow Line color by direction or zero-position; fast lines by sign. - Full Customization: Independent lengths, smoothing, visibility, and transparency — by adjusting the lengths of different lines, you can tailor results for various strategies; for example, enabling Line 4 and tuning its length allows trading based on crossovers between different lines. █ HOW IT WORKS? - Candle Pressure Calculation: Body = math.abs(close - open); avgBody = ta.sma(body, len). Direction = +1 (bull), –1 (bear), 0 (neutral). Weight = body / avgBody. Contribution = direction × weight. - Rolling Sum & Normalization: Sums contributions over lookback, normalizes to ±100 scale (÷ (len × 2) × 100). Smoothing: Applies primary EMA (smoothLen), with extra EMA on Slow Line for stability. Line Structure: - Slow Line = calcCPO(len1=20, smoothLen1=5) → extra EMA (5) - Fast Line A = calcCPO(len2=6, smoothLen2=7) - Fast Line B = calcCPO(len3=6, smoothLen3=10) - Line 4 = calcCPO(len4=14, smoothLen4=1) Divergence Detection: Uses ta.pivothigh/low on price and Fast Line A (pivotLength left/right). Bullish: lower price low + higher osc low. Bearish: higher price high + lower osc high. Valid within 5–60 bar window. Signals: - Buy: Fast Line A crosses above oversold (–30) - Sell: Fast Line A crosses below overbought (+30) - Slow Line color flip (direction or zero-cross) - Divergence labels ("Bull" / "Bear") - Band Coloring as Momentum Signal: When Fast Line A ≤ Fast Line B → Overbought band turns red (bearish pressure building) When Fast Line A > Fast Line B → Oversold band turns green (bullish pressure building) This dynamic coloring serves as visual confirmation of momentum shift following fast line crossovers Visualization: - Gradients: Fast B → Zero (multi-layer fade), Fast A ↔ B fill, OB/OS bands - Dynamic colors: Green/red based on sign or trend - Zero line + dashed OB/OS thresholds Alerts: Trigger on OB/OS returns, Slow Line changes, and divergences. █ SETTINGS AND CUSTOMIZATION - Line Visibility: Toggle Slow, Fast A, Fast B, Line 4 independently. Line Lengths: - Slow Line: Base (20), Primary EMA (5), Extra EMA (5) - Fast A: Lookback (6), EMA (7) - Fast B: Lookback (6), EMA (10) - Line 4: Lookback (14), EMA (1) - Slow Line Coloring Mode: “Direction” (trend-based) or “Position vs Zero”. - Bands & Thresholds: Overbought (+30), Oversold (–30), step 0.1. - Signals: Enable Fast A OB/OS return markers (default: on). - Divergence: Enable/disable, Pivot Length (default: 2, min 1). - Colors & Appearance: Full control over bullish/bearish hues for all lines, zero, bands, divergence, and text. Gradients & Transparency: - Fast B → Zero: 75 (default) - Fast A ↔ B fill: 50 - Band gradients: 40 - Toggle each gradient independently █ USAGE EXAMPLES The indicator allows users to configure various strategies manually, though no built-in alerts exist for them. Entry signals can include color of fast lines, crossovers between different lines, alignment of colors across lines, or consistency in direction. - Trend Confirmation: Slow Line above zero + green = bullish bias; below + red = bearish. - Entry Timing: Buy on Fast A crossing above –30 (circle marker), especially if Slow Line is rising or near zero. - Reversal Setup: Bullish divergence (“Bull” label) + Fast A in oversold + green gradient band = high-probability long. - Scalping: Fast A vs Fast B crossover in direction of Slow Line trend. - Noise Reduction: Increase extraSmoothLen on Slow Line █ USER NOTES - Best combined with volume, support/resistance, or trend channels. - Adjust lookback and smoothing to asset volatility. - Divergence delay = pivotLength; plan entries accordingly.
Pine Script®指標
由Uncle_the_shooter提供
Trendilo + Adaptive Volatility Prediction AlgorithmTrendilo + Adaptive Volatility Prediction Algorithm Credit: Original Trendilo created by dudeowns. This version keeps the original trend logic and adds an algorithmic based volatility predictive method used in other proprietary, high end indicators I had created in the past. Timeframe and Usage: Designed for use on the 15m timeframe but can be used on any timeframe. Settings are available for tweaking and fine tuning based on your trading strategy and preferences. Note: In my testing I've found the 3D to be HIGHLY effective as determining major volatile breakouts after periods of consolidation. 3 Day chart example What this indicator shows: • 📈 Trend Line: A simple line plot showing the general direction of price (up, down, or neutral). • 🎨 Volatility Band: A colored visual layer that shows how tight or loose the market currently is. Volatility Color Meanings: • Transparent / Wide = Expanded (normal market movement) • 🔵 Blue = Normal volatility • 🟣 Purple = Compressed (price is tightening) • 🔴 Red = Highly Compressed (strong pressure build-up) • 💛 Yellow = Extremely Compressed (market is tightly coiled at a rare level) How to interpret / use this indicator This indicator does not predict direction. It shows how much volatile energy is building in the market for an upcoming move. The stronger the compression (Purple > Red > Yellow), the bigger the volatility release tends to be relative to recent price action. The yellow state is the most significant. It indicates the market is at extremely compressed levels and has enough energy stored for substantial and volatile movement. Display Panel: A small panel on the chart shows the current volatility condition in plain text for fast recognition.
Pine Script®指標
由Witnessing_Soul提供
AR-CISD-V1A Change In State of Delivery (CISD) is a trading concept used by price action traders (also known as SMC or ICT Traders). A CISD occurs when there is a sudden momentum shift from bullish to bearish, or vice versa, signaling a potential market reversal. A bullish CISD indicates that the current market momentum will shift from bearish to bullish, leading to an increase in price. A bearish CISD indicates that the current market momentum will shift from bullish to bearish, leading to a decrease in price. In this guide you will learn how to identify and trade the CISD pattern. What is a Change In State of Delivery (CISD)? A Change In State of Delivery (CISD) is a reversal trading pattern where price’s momentum shifts suddenly from bearish to bullish or vice versa. A CISD can be used as an early signal of a market reversal. This concept focuses on key levels where price sweeps liquidity before sharply reversing direction.
Pine Script®指標
由AdamRifau提供
OverBought & OverSold [SwissAlgo]OverBought & OverSold Statistical analysis of momentum extremes ---------------------------------------------------------- Purpose This indicator was built to answer three questions: Is the current price move statistically extreme? - By comparing current momentum to historical distribution What is the current market regime? - By combining trend position and momentum direction Is momentum accelerating or decelerating? - By analyzing weekly momentum shifts ---------------------------------------------------------- What You Can Do With This Indicator Identify Statistical Extremes See when price momentum seems to have reached levels that historically preceded reversals Compare the current Rate of Change to its historical mean and standard deviation Spot when readings exceed ±1σ, ±2σ, or higher thresholds Monitor Market Regime/State Track whether the market seems to be in BULL, WEAK BULL, BEAR, or WEAK BEAR state Observe potential transitions between regimes as they occur Understand the relationship between price position and momentum Assess Momentum Quality Distinguish between potentially accelerating momentum (lime/red bars) and decelerating momentum (green/maroon bars) Watch for possible momentum deterioration within established trends Track weekly momentum patterns that filter out daily noise Measure Distance from Trend Monitor how far the price is from its long-term moving average (EMA 350) Identify when price approaches trend support/resistance Contextualize current position relative to historical distance patterns ---------------------------------------------------------- Overview This indicator calculates a volume-weighted Rate of Change (ROC) and displays it with statistical Z-Score bands. It combines ROC analysis with market regime detection using weekly MACD and EMA positioning. Key Features Volume-weighted ROC calculation with 5-bar smoothing Dynamic Z-Score bands (±0.5σ to ±6σ) Four-state market regime classification Weekly Stochastic RSI-based histogram coloring Visual markers for extreme readings Information table with current statistics Calculations Volume-Weighted ROC The indicator compares two 5-bar volume-weighted average prices separated by the ROC Length period: Recent VWAP = Σ(Price × Volume) / Σ(Volume) for last 5 bars Past VWAP = Σ(Price × Volume) / Σ(Volume) for 5 bars at lookback ROC = ((Recent VWAP - Past VWAP) / Past VWAP) × 100 Default ROC Length: 30 periods Why volume-weighted: Single price points can be affected by temporary spikes Volume weighting emphasizes legitimate price moves 5-bar averaging reduces single-bar noise Z-Score Bands The indicator maintains separate statistical distributions for positive and negative ROC values: For positive ROC values: Calculates mean and standard deviation of all positive ROC readings Plots bands at +0.5σ, +1σ, +2σ, +3σ, +4σ, +5σ, +6σ above the mean For negative ROC values: Calculates mean and standard deviation of all negative ROC readings Plots bands at -0.5σ, -1σ, -2σ, -3σ, -4σ, -5σ, -6σ below the mean Z-Score formula: If ROC > 0: Z = (ROC - Positive Mean) / Positive Std Dev If ROC < 0: Z = (ROC - Negative Mean) / Negative Std Dev Why separate distributions: Upward and downward momentum often have different statistical properties Separate analysis provides more accurate extreme identification Each side maintains its own mean and volatility characteristics The ±1σ bands use thicker lines (linewidth=2) as these levels are most frequently tested. Market Regime States Four states based on weekly MACD (10, 24, 8) and EMA 350: BULL Conditions: Price > EMA 350, Weekly MACD > 0, MACD > Signal, ROC histogram lime Background: Lime (85% transparency) Interpretation: Price above long-term trend with accelerating momentum WEAK BULL Conditions: Price > EMA 350 AND (MACD < Signal OR ROC histogram green) Background: Green (95% transparency) Interpretation: Price above trend, but momentum seems to be decelerating BEAR Conditions: Price < EMA 350, Weekly MACD < 0, MACD < Signal, ROC histogram red Background: Red (85% transparency) Interpretation: Price below long-term trend with accelerating downward momentum WEAK BEAR Conditions: Price < EMA 350 AND (MACD > Signal OR ROC histogram maroon) Background: Maroon (95% transparency) Interpretation: Price below trend, but downward momentum seems to be decelerating NEUTRAL Conditions: None of the above met Background: Gray (95% transparency) Interpretation: Transitional state between regimes Why weekly MACD: Filters daily volatility and noise Provides more stable regime classification Reduces false regime switches Histogram Colors Colors determined by Weekly Stochastic RSI (14, 14, 3, 3): Lime: ROC > 0 and K > D (rising positive momentum) Green: ROC > 0 and K < D (falling positive momentum) Red: ROC < 0 and K < D (falling negative momentum) Maroon: ROC < 0 and K > D (rising negative momentum) Why weekly Stochastic RSI: Shows momentum direction independent of absolute level Weekly timeframe provides stable readings K/D crossover indicates momentum shifts Visual Markers Red arrows (↓): Display when ROC ≥ +1σ (overbought zone) Lime arrows (↑): Display when ROC ≤ -0.5σ (oversold zone) These markers highlight when readings reach statistical extremes. Information Table Located at the top-right, displays four rows: Row 1 - Market State Shows current regime text (BULL/WEAK BULL/BEAR/WEAK BEAR/NEUTRAL) Color matches regime state Row 2 - Current Z-Score Shows Z-Score value with 2 decimal places Lime when Z ≤ -0.5 (statistically oversold) Red when Z ≥ +1 (statistically overbought) White for values between -0.5 and +1 (normal range) Adds bullet (●) for extreme values Row 3 - Price ROC % Shows current ROC percentage Lime when positive Red when negative Row 4 - Distance % EMA Shows percentage distance from EMA 350 Calculates Z-score of distance Red with ● when close to EMA in bull market (|Z| < 0.5) Lime with ● when close to EMA in bear market (|Z| < 0.5) Standard colors otherwise (lime when above EMA, red when below) Why distance matters: A price approaching EMA 350 in a bull market can signal a support test Price near EMA 350 in a bear market can signal a resistance test Z-score of distance shows if the current proximity is statistically unusual ---------------------------------------------------------- Settings ROC Length (Integer, default: 30, minimum: 1) Number of periods for ROC lookback Higher values = slower response, smoother Lower values = faster response, more sensitive Source (Source, default: close) Price data input for calculations Can use close, open, high, low, hl2, hlc3, ohlc4 Show Info Table (Boolean, default: true) Toggle table visibility ---------------------------------------------------------- Technical Details Uses lookahead=barmerge.lookahead_off for all request.security() calls Accumulates all historical ROC values in arrays for Z-Score calculation Weekly timeframe data retrieved via request.security() on "1W" resolution EMA length hardcoded to 350 periods All plots use Pine Script v6 syntax Data Requirements Minimum bars required: ROC Length + 5 bars Works on any timeframe Applicable to any instrument with volume data Historical data used: All available bars on the chart Display Elements Plots: ROC histogram (plotcandle format) Zero line (horizontal line) 14 standard deviation lines (7 positive, 7 negative) 13 filled regions between bands 14 sigma labels (displayed on last bar only) Extreme zone markers (arrows) Color Scheme: Positive bands: Lime with varying transparency Negative bands: Red with varying transparency Fills: Green (positive) and Red (negative) with high transparency Bands beyond 3σ use increased transparency (85%, 90%, 93%) Visual Hierarchy ±1σ bands: Thicker lines (most important levels) ±0.5σ to ±3σ: Standard visibility ±4σ to ±6σ: Faded (visible only during extreme events) Notes This is an oscillator-type indicator (overlay=false) Displays in a separate pane below the price chart Does not generate automatic buy/sell signals Does not include alert conditions Does not repaint (all calculations use confirmed data) Limitations Requires sufficient historical data for meaningful statistics Z-Score bands recalculate as new data accumulates Market regime requires weekly MACD calculation (may show neutral on insufficient data) Volume-weighting requires volume data availability EMA 350 is fixed (not adjustable via inputs) Statistical extremes do not guarantee reversals Past distribution patterns do not predict future behavior ---------------------------------------------------------- Disclaimer Educational Purpose Only This indicator is provided for educational and informational purposes only. It is a technical analysis tool that displays statistical calculations and historical data patterns. Not Financial Advice This indicator does not provide financial, investment, trading, or any other type of professional advice. All content and calculations are for informational purposes only and should not be construed as a recommendation to buy, sell, or hold any security or financial instrument. No Guarantee of Results Past performance and historical statistical patterns do not guarantee future results. Markets are inherently unpredictable, and statistical analysis cannot predict future price movements with certainty. The appearance of statistical extremes does not ensure that reversals will occur. User Responsibility Users of this indicator are solely responsible for their own trading and investment decisions. You should conduct your own research and due diligence and consult with qualified financial professionals before making any investment decisions. Risk Warning Trading and investing in financial markets involves substantial risk of loss. You should only trade with capital you can afford to lose. The use of technical indicators does not eliminate market risk. No Warranty This indicator is provided "as is" without warranty of any kind, either expressed or implied, including but not limited to warranties of accuracy, reliability, or fitness for a particular purpose. The author makes no guarantees regarding the accuracy of calculations or the absence of errors. Limitation of Liability The author and publisher of this indicator shall not be held liable for any losses, damages, or claims arising from the use or inability to use this indicator, including but not limited to trading losses, lost profits, or any other financial losses. Data Accuracy While efforts have been made to ensure calculation accuracy, users should independently verify all outputs. The indicator relies on data provided by TradingView, and the author is not responsible for data feed errors or interruptions. User Agreement By using this indicator, you acknowledge that you have read, understood, and agree to this disclaimer. If you do not agree with any part of this disclaimer, you should not use this indicator.
Pine Script®指標
由SwissAlgo提供
[FS] Pivot Measurements# Pivot Measurements An advanced TradingView indicator that combines LuxAlgo's pivot point detection algorithm with automatic measurement calculations between consecutive pivots. ## Features ### Pivot Detection - **Regular Pivots**: Detects standard pivot highs and lows using configurable pivot length - **Missed Pivots**: Identifies missed reversal levels that occurred between regular pivots - **Visual Indicators**: - Regular pivot highs: Red downward triangle (▼) - Regular pivot lows: Teal upward triangle (▲) - Missed pivots: Ghost emoji (👻) - **Zigzag Lines**: Connects pivots with colored lines (solid for regular, dashed for missed) - **Ghost Levels**: Horizontal lines indicating missed pivot levels ### Measurement System - **Automatic Measurements**: Calculates price movements between consecutive pivots - **Visual Display**: - Transparent colored boxes (blue for upward, red for downward movements) - Measurement labels showing: - Price change (absolute and percentage) - Duration (bars, days, hours, minutes) - Volume approximation - **Smart Positioning**: Labels positioned outside boxes (above for upward, below for downward) - **Color Coding**: Blue for positive movements, red for negative movements ## Parameters ### Pivot Detection - **Pivot Length** (default: 50): Number of bars on each side to identify a pivot point - **Regular Pivots**: Toggle and colors for regular pivot highs and lows - **Missed Pivots**: Toggle and colors for missed pivot detection ### Measurements - **Number of Measurements** (1-10, default: 10): Maximum number of measurements to display - **Show Measurement Boxes**: Toggle to show/hide measurement boxes and labels - **Box Transparency** (0-100, default: 90): Transparency level for measurement boxes - **Border Transparency** (0-100, default: 50): Transparency level for box borders - **Label Background Transparency** (0-100, default: 30): Transparency level for label backgrounds - **Label Size**: Size of measurement labels (tiny, small, normal, large) ## Usage 1. Add the indicator to your chart 2. Configure the **Pivot Length** based on your timeframe: - Lower values for shorter timeframes (e.g., 10-20 for 1-5 min) - Higher values for longer timeframes (e.g., 50-100 for daily) 3. Adjust pivot colors and visibility as needed 4. Customize measurement display settings: - Set the number of measurements to display - Adjust transparency levels for boxes, borders, and labels - Choose label size ## Technical Details - **Pine Script Version**: v6 - **Pivot Detection**: Based on () algorithm for detecting regular and missed pivots - **Measurement Calculation**: - Measures between consecutive pivots (from most recent to older) - Calculates price change, percentage change, duration, and approximate volume - Automatically sorts pivots chronologically - **Performance**: Optimized with helper functions to reduce code duplication ## Notes - The indicator automatically limits the number of stored pivots to optimize performance - Measurements are only created when there are at least 2 pivots detected - All measurements are recalculated on each bar update - The indicator uses `max_bars_back=5000` to ensure sufficient historical data ## License This indicator uses LuxAlgo's pivot detection algorithm from (). Please refer to the original LuxAlgo license for pivot detection components.
Pine Script®指標
由SF_Trade提供
Rotating Messages (Rules or Motivational)This lightweight utility indicator allows you to display rotating custom text messages directly on your TradingView chart — perfect for reminders, trading rules, motivational quotes, or session notes. You can define multiple messages separated by semicolons (;) or new lines, and the indicator will automatically cycle through them based on time or bar count. Ideal for traders who want visual cues without cluttering the chart. ⚙️ Main Features ⏱ Time-based or bar-based rotation — switch messages every X seconds (real-time) or X bars (historical/backtest mode). 📍 Flexible positioning — choose between Top Right, Bottom Right, or Bottom Center. 📏 Vertical offset — move text up or down for perfect placement on your chart. 🎨 Custom styling — set text color, background color, border visibility, and text size. ✍️ Simple message input — enter your rules or quotes in a text box with support for multi-line messages.
Pine Script®指標
由exozeon提供
CPR Scenario and 2 days CPR relationship Analysis -Here’s a detailed explanation of the CPR (Central Pivot Range) relationships : 1. Higher Value Relationship Definition: Today’s entire CPR (from BC to TC) is completely above yesterday’s entire CPR. Indicates: Strongly Bullish Bias Today’s BC (Bottom Central) > Yesterday’s TC (Top Central) Implies the market sentiment is much more bullish than the previous day. Trading Insight: Look for long trades, especially if the opening price is above CPR. 2. Overlapping Higher Value Relationship Definition: Today’s CPR is higher than yesterday’s, but partially overlaps with it. Indicates: Moderate Bullish Bias Pivot shifted up, but some overlap exists between the ranges. Trading Insight: Bias is positive; confirm trade with open above CPR or price action. 3. Lower Value Relationship Definition: Today’s entire CPR is completely below yesterday’s CPR. Indicates: Strong Bearish Bias Today’s TC < Yesterday’s BC Trading Insight: Look for short trades, especially if opening is below CPR. 4. Overlapping Lower Value Relationship Definition: Today’s CPR is lower than the previous day’s, with partial overlap. Indicates: Moderate Bearish Bias Pivot shifted down, but ranges still overlap partly. Trading Insight: Initial bias negative, look for shorting opportunities. 5. Unchanged Value Relationship Definition: Today’s CPR is virtually unchanged (locations very close) compared to yesterday’s CPR. Indicates: Sideways or Potential Breakout Day Range and pivot nearly the same. Trading Insight: Watch for breakout trades if price emerges out of the range. 6. Outside Value Relationship Definition: Today’s CPR engulfs or completely surrounds yesterday’s CPR. Indicates: Range-bound/Sideways Bias Today’s BC < Yesterday’s BC and Today’s TC > Yesterday’s TC. Trading Insight: Expect sideways action, mean reversion trades, or range trading. 7. Inside Value Relationship Definition: Today’s CPR is completely inside yesterday’s CPR. Indicates: Breakout Expected Both TC and BC are within yesterday’s TC and BC. Trading Insight: Watch for sharp breakout moves; trade in the direction of the breakout. How to Use These Relationships Initial Bias: Where today’s CPR sits relative to yesterday’s gives a directional clue. Confirmation: How today’s market opens relative to CPR adds confidence. Strategy: Align your trades (long or short) with the dominant CPR relationship and price’s position relative to the CPR band.
Pine Script®指標
由ASHISH_MAROTKAR提供
Dios51 TrendMatrix🟢 Dios51 TrendMatrix – User Manual Purpose: Identify early trend breakouts with EMA High/Low channels, EMA200 trend filter, and RSI momentum confirmation. 📊 Components Overview EMA High / EMA Low (Green & Red lines) – Define a dynamic price channel for breakout detection. EMA200 (Yellow = Bullish, Red = Bearish) – Shows overall trend direction. Trade primarily in the EMA200 trend direction. RSI + MA – Confirms momentum; crossover above MA signals bullish momentum, below MA signals bearish. Background Fill – Green = bullish, Red = bearish. Visual aid for trend alignment. Signal Arrows – 🔼 Green = Long breakout signal 🔽 Red = Short breakout signal ✅ Long Signal (Buy) Criteria Candle closes above EMA High RSI crosses above its MA Candle is bullish (close > open) Candle meets ATR filter (strong breakout) EMA200 is Yellow (Bullish) Cooldown period between signals is satisfied ❌ Short Signal (Sell) Criteria Candle closes below EMA Low RSI crosses below its MA Candle is bearish (close < open) Candle meets ATR filter (strong breakout) EMA200 is Red (Bearish) Cooldown period between signals is satisfied 🎯 Trade Management Entry: Next candle after the arrow appears Confirm EMA200 trend aligns with the signal direction Stop-loss: For Long → below EMA Low For Short → above EMA High Exit: Price re-enters EMA channel Trend weakens (EMA200 changes color) ⚙️ Tips for Best Performance Ideal on 15m–4h charts Avoid sideways/consolidation markets Trade only in direction of EMA200 color for higher probability Combine with volume or higher timeframe EMA for additional confirmation 📌 Panel Legend (if using on-chart panel) EMA200: Yellow = Bullish, Red = Bearish Last Signal: Long / Short / None RSI Status: Above MA = bullish, Below MA = bearish
Pine Script®指標
由Dios51提供
QuantumFlow MTF System Extended QuantumFlow MTF System Extended Multi-Timeframe Directional Flow & Volatility Alignment Engine — Higher-Timeframe Edition The QuantumFlow MTF System Extended is a higher-timeframe analytical framework that expands upon the original QuantumFlow concept. While the base version focuses on short-term structures (1M – 15M), this edition is designed for traders who need to observe medium- to long-term directional harmony across the 30M, 45M, 1H, 2H, 3H and 4H timeframes. Its purpose is to provide a structured, non-repainting overview of how momentum and volatility align over broader market horizons — helping traders understand the prevailing directional flow rather than predicting future prices. Concept The system aggregates confirmed Supertrend directions from each higher timeframe, converting them into normalized bullish or bearish values. These values are then processed through dual-layer EMA momentum filters that validate the directional strength of each component. The resulting matrix displays a precise snapshot of how higher-timeframe market structures are synchronized — serving as a compass of directional alignment rather than a buy/sell signal generator. A multi-ATR framework defines adaptive volatility zones, allowing each instrument to react proportionally to its intrinsic volatility profile. This approach smooths sensitivity shifts that often occur between intraday and multi-hour structures, delivering consistent analytical behavior across asset classes. How It Works Confirmed Multi-Timeframe Supertrend Each timeframe produces a close-confirmed Supertrend direction, ensuring signal stability and preventing repainting. Adaptive Multi-ATR Model Multiple ATR instances with distinct deviation factors define dynamic volatility thresholds that self-adjust to market conditions. Dual EMA Momentum Validation Two independent EMA layers filter and confirm each Supertrend direction, improving directional clarity and reliability. Flow Totals Engine The indicator sums all timeframe states into real-time bullish/bearish totals and percentage ratios, clearly visualized within a single panel. Configurable Alerts (Optional) Users may set threshold-based alerts when directional alignment reaches specified intensity levels (for example, when all timeframes are synchronized). Full Customization All visual elements — colors, text, background, and layout — can be adjusted to match personal preferences or chart themes. Intended Use and Benefits Observe how higher-timeframe trends align to reveal medium-term directional bias. Quantify the balance of bullish vs bearish momentum across multiple timeframes. Combine with lower-timeframe analysis (e.g. the original QuantumFlow System) to establish multi-layer confirmation between short- and mid-term flows. Maintain awareness of trend synchronization or divergence without relying on subjective chart interpretation. This indicator does not provide trading signals, forecasts, or financial advice. It is an analytical tool intended to assist users in studying market structure and volatility behavior. Chart Display QuantumFlow Extended presents a unified dashboard that lists each analyzed timeframe, its active directional state, and the overall flow balance in numeric and percentage form. It functions seamlessly on all instruments and can be used standalone or alongside the original short-term version. Access This is an invite-only indicator. To request access or additional information, please contact the author privately via the TradingView profile.
Pine Script®指標
由SocratesFlores提供
Analog Flow [KedArc Quant]Overview AnalogFlow is an advanced analogue based market projection engine that reconstructs future price tendencies by matching current price behavior to historical analogues in the same instrument. Instead of using traditional indicators such as moving averages, RSI, or regression, AnalogFlow applies pattern vector similarity analysis - a data driven technique that identifies historically similar sequences and aggregates their subsequent movements into a smooth, forward looking curve. Think of it as a market memory system: If the current pattern looks like one we have seen before, how did price move afterward? Why AnalogFlow Is Unique 1. Pattern centric - it does not rely on any standard indicator formula; it directly analyzes price movement vectors. 2. Adaptive - it learns from the same instrument's past behavior, making it self calibrating to volatility and regime shifts. 3. Non repainting - the projection is generated on the latest completed bar and remains fixed until new data is available. 4. Noise resistant - the EMA Blend engine smooths the projected trajectory, reducing random variance between analogues. Inputs and Configuration Pattern Bars Number of bars in the reference pattern window: 40 Projection Bars Number of bars forward to project: 30 Search Depth Number of bars back to look for matching analogues: 600 Distance Metric Comparison method: Euclidean, Manhattan, or Cosine (default Euclidean) Matches Number of top analogues to blend (1-5): Top 3 Build Mode Projection type: Cumulative, MeanStep, or EMA Blend (default EMA Blend) EMA Blend Length Smoothness of the projected path: 15 Normalize Pattern Enable Z score normalization for shape matching: true Dissimilarity Mode If true, finds inverse analogues for mean reversion analysis: false Line Color and Width Style settings for projection curve: Blue, width 2 How It Works with Past Data 1. The system builds a memory bank of patterns from the last N bars based on the scanDepth value. 2. It compares the latest Pattern Bars segment to each historical segment. 3. It selects the Top K most similar or dissimilar analogues. 4. For each analogue, it retrieves what happened after that pattern historically. 5. It averages or smooths those forward moves into a single composite forecast curve. 6. The forecast (blue line) is drawn ahead of the current candle using line.new with no repainting. Output Explained Blue Path The weighted mean future trajectory based on historical analogues. Smoother when EMA Blend mode is enabled. Flat Section Indicates low directional consensus or equilibrium across analogues. Upward or Downward Slope Represents historical tendency toward continuation or reversal following similar conditions. Recommended Timeframes Scalping / Short Term 1m - 5m : Short winLen (20-30), small ahead (10-15) Swing Trading 15m - 1h : Balanced settings (winLen 40-60, ahead 20-30) Positional / Multi Day 4h - 1D : Large windows (winLen 80-120, ahead 30-50) Instrument Compatibility Works seamlessly on: Stocks and ETFs Indices Cryptocurrency Commodities (Gold, Crude, etc.) Futures and F&O (both intraday and positional) Forex No symbol specific calibration needed. It self adapts to volatility. How Traders Can Use It Forecast Context Identify likely short term price path or drift direction. Reversal Detection Flip seekOpp to true for mean reversion pattern analysis. Scenario Comparison Observe whether the current regime tends to continue or stall. Momentum Confirmation Combine with trend tools such as EMA or MACD for directional bias. Backtesting Support Compare projected path versus realized price to evaluate reliability. FAQ Q1. Does AnalogFlow repaint? No. It calculates only once per completed bar and projects forward. The future path remains static until a new bar closes. Q2. Is it a neural network or AI model? Not in the machine learning sense. It is a deterministic analogue matching engine using statistical distance metrics. Q3. Why does the projection sometimes flatten? That means similar historical setups had no clear consensus in direction (neutral expectation). Q4. Can I use it for live trading signals? AnalogFlow is not a signal generator. It provides probabilistic context for upcoming movement. Q5. Does higher scanDepth improve accuracy? Up to a point. More depth gives more analogues, but too much can dilute recency. Try 400 to 800. Glossary Analogue A past pattern similar to the current price behavior. Distance Metric Mathematical formula for pattern similarity. Step Vector Difference between consecutive closing prices. EMA Blend Exponential smoothing of the projected path. Cumulative Mode Adds sequential historical deltas directly. Z Score Normalization Rescaling to mean 0 and variance 1 for shape comparison. Summary AnalogFlow converts the market's historical echoes into a structured, statistically weighted forward projection. It gives traders a contextual roadmap, not a signal, showing how similar past setups evolved and allowing better informed entries, exits, and scenario planning across all asset classes. Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and proper risk management when applying this strategy.
Pine Script®指標
由kedarcquant提供
NEESON BTC TREND AIndicator Name: NEESON BTC TREND Type: Overlay (on the main chart) Main Features: Dual Moving Averages (Fast and Slow) with customizable periods. Trend signals (B for Buy, S for Sell) with tiny labels. Signal highlight bars (blue for buy, orange for sell). Momentum Oscillator (Stochastic RSI) with alerts. 100-day VWAP resistance line and highlight when price is near. Alerts for MA crossovers, trend signals, and VWAP resistance. Usage: Buy when you see blue highlights and 'B' signals, especially when the trend is up (fast MA above slow MA). Sell when you see orange highlights and 'S' signals, especially when the trend is down (fast MA below slow MA). Use VWAP resistance as a potential reversal zone.
Pine Script®指標
由neeson1987提供
FVG / FRACTALS HELPERTG: imjustdanya Индикатор автоматически находит фракталы/имбалансы на выбранных таймфреймах Можно настраивать всё,от внешнего вида, до количества отображаемых объектов Экономит много времени,и очень эффективен при интрадей торговле в стратегии Price Action The indicator automatically detects fractals and imbalances on selected timeframes. You can customize everything — from appearance to the number of displayed objects. It saves a lot of time and is highly effective for intraday trading within a Price Action strategy.
Pine Script®指標
由imjustdanya提供