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震盪指標

VXN (NQ100) Implied Move — Bands StrategyVXN (NQ100) Implied Move — Bands Strategy 📌 Overview This strategy uses the 30-day implied volatility from VXN (CBOE:VXN) to build an “implied move” envelope around a EMA computed in the indicator timeframe. The bands act like elastic zones where price stretches and often reverts. Signals trigger when the close re-enters the zone, and exits are managed via opposite band targets, band retests, and/or optional ATR thresholds. All logic confirms on bar close. ⚙️ Key Inputs - Indicator Timeframe (tfInput): timeframe used to sample both the symbol EMA and VXN. - EMA Length (emaLen): center line for the bands. - Multiplier (mult): scales the implied move. - Days (daysLook): horizon in days for square-root-of-time scaling. - Trade Direction: Both / Longs only / Shorts only. - Band TP / Band SL: enable take-profit or stop at bar close when price hits bands. - ATR Stop (SL) & ATR Take Profit (TP): optional ATR-based exits. - Bar Limit (Time Stop): closes a trade after N bars in market. - Prevent PDT: caps day trades within a rolling window. 🧠 Band Construction (core) Compute EMA of price in the Indicator Timeframe. Fetch VXN (close) in the same timeframe. Implied Move (IM) = EMA * (VXN/100) * sqrt(Days/365) * Multiplier. Bands: Upper = EMA + IM Lower = EMA - IM 🚀 Entry Rules (all on bar close) Long: first, the close moves below the lower band (arming). Later, when the close crosses above that band, go long. Short: mirror logic. First, the close moves above the upper band (arming), then the close crosses below that band, go short. 🎯 Exit Logic (first event wins, on bar close) Band Take-Profit: target at the opposite band. Band Stop-Loss: if the close returns to the entry band (lower for longs, upper for shorts). ATR Optional: ATR SL: distance from entry price via multiplier. ATR TP: profit target based on ATR. Time Stop (Bar Limit): forces an exit after a maximum number of bars. 🛡️ Risk Management & Filters Trade Direction: restrict sides (long-only, short-only, or both). Prevent PDT: counts day trades per calendar day and limits them in a rolling window. ATR Stops/TP: useful under higher volatility to control exposure. 🔔 Alerts Includes alerts for entries and exits (bands and ATR). Set them to Once per bar close to align with the close-based logic. 📎 Important Notes EMA and VXN are both computed in the Indicator Timeframe. Signals confirm on bar close only; intrabar confirmation is not used. VXN is essentially daily. If you pick an intraday Indicator Timeframe, TradingView will replicate the last daily value until the next update; the EMA and IM are still computed consistently in that timeframe. Not financial advice. Backtest and adjust before live use. 🧩 Tips - Tune Days and Multiplier to match your trading horizon and sensitivity. - Combine Band TP/SL with ATR SL/TP for hybrid exit management. - For intraday trading, consider a Bar Limit to avoid over-holding.
Pine Script®策略
由mauricio_a_morales提供
1
High For Loop | MisinkoMasterThe High For Loop is a new Trend Following tool designed to give traders smooth and fast signals without being too complex, overfit or repainting. It works by finding how many bars have a higher high than the current high, how many have a lower high, and scores it based on that. This provides users with easy and accurate signals, allowing for gaining a large edge in the market. It is pretty simple but you can still play around with it pretty well and improve uppon your strategies. For any backtests using strategies, I left many comments and tried to make it as easy as possible to backtest. Enjoy G´s
Pine Script®指標
由MisinkoMaster提供
MA-Median For Loop | MisinkoMasterThe MA-Median For Loop is a new Trend Following tool that gives the user smooth yet responsive trend signals, allowing you to see clear and accurate trends by combining the Moving Average & Median in a For Loop concept. How does it work? 1. Select user defined inputs => Adjust it to your liking, everyone can set it to their liking. 2. Calculate the MA and the Median => Simple, but important 3. Calculate the For Loop => For every bar back where the median or ma of that bar is higher than the current median or ma subtract 0.5 from the trend score, and for every bar back where the current median/ma is higher than the previous one add 0.5 to the trend score. This simple yet effective approach enhances speed, decreases noise, and produces accurate signals everyone can utilize to get an edge in the market Enjoy G´s
Pine Script®指標
由MisinkoMaster提供
Cardwell RSI by TQ📌 Cardwell RSI – Enhanced Relative Strength Index This indicator is based on Andrew Cardwell’s RSI methodology , extending the classic RSI with tools to better identify bullish/bearish ranges and trend dynamics. In uptrends, RSI tends to hold between 40–80 (Cardwell bullish range). In downtrends, RSI tends to stay between 20–60 (Cardwell bearish range). Key Features : Standard RSI with configurable length & source Fast (9) & Slow (45) RSI Moving Averages (toggleable) Cardwell Core Levels (80 / 60 / 40 / 20) – enabled by default Base Bands (70 / 50 / 30) in dotted style Optional custom levels (up to 3) Alerts for MA crosses and level crosses Data Window metrics: RSI vs Fast/Slow MA differences How to Use : Monitor RSI behavior inside Cardwell’s bullish (40–80) and bearish (20–60) ranges Watch RSI crossovers with Fast (9) and Slow (45) MAs to confirm momentum or trend shifts Use levels and alerts as confluence with your trading strategy Default Settings : RSI Length: 14 MA Type: WMA Fast MA: 9 (hidden by default) Slow MA: 45 (hidden by default) Cardwell Levels (80/60/40/20): ON Base Bands (70/50/30): ON
Pine Script®指標
由TradeQUO提供
1
Renko RSI (Brick-Triggered, Red/Green Only) MODIFIEDhe Renko RSI (Brick-Triggered, Red/Green Only) Modified indicator is a specialized trading tool designed for use with Renko charts, which focus solely on price movements rather than time. This modified version enhances the traditional Renko RSI by triggering signals based on brick formations (price blocks) and uses only red and green colors to indicate trend direction—green for bullish (upward) trends and red for bearish (downward) trends. It integrates the Relative Strength Index (RSI) to identify potential reversals or continuations when Renko bricks change direction, filtering out market noise for clearer trend analysis. The indicator is tailored to highlight high-probability entry and exit points, making it suitable for traders seeking a simplified, visual approach to spotting trends and reversals, especially on assets like crypto on short timeframes such as 15-minute or 1-hour charts.
Pine Script®指標
由donbag提供
1
Sequential Pattern Strength [QuantAlgo]🟢 Overview The Sequential Pattern Strength indicator measures the power and sustainability of consecutive price movements by tracking unbroken sequences of up or down closes. It incorporates sequence quality assessment, price extension analysis, and automatic exhaustion detection to help traders identify when strong trends are losing momentum and approaching potential reversal or continuation points. 🟢 How It Works The indicator's key insight lies in its sequential pattern tracking system, where pattern strength is measured by analyzing consecutive price movements and their sustainability: if close > close upSequence := upSequence + 1 downSequence := 0 else if close < close downSequence := downSequence + 1 upSequence := 0 The system calculates sequence quality by measuring how "perfect" the consecutive moves are: perfectMoves = math.max(upSequence, downSequence) totalMoves = math.abs(bar_index - ta.valuewhen(upSequence == 1 or downSequence == 1, bar_index, 0)) sequenceQuality = totalMoves > 0 ? perfectMoves / totalMoves : 1.0 First, it tracks price extension from the sequence starting point: priceExtension = (close - sequenceStartPrice) / sequenceStartPrice * 100 Then, pattern exhaustion is identified when sequences become overextended: isExhausted = math.abs(currentSequence) >= maxSequence or math.abs(priceExtension) > resetThreshold * math.abs(currentSequence) Finally, the pattern strength combines sequence length, quality, and price movement with momentum enhancement: patternStrength = currentSequence * sequenceQuality * (1 + math.abs(priceExtension) / 10) enhancedSignal = patternStrength + momentum * 10 signal = ta.ema(enhancedSignal, smooth) This creates a sequence-based momentum indicator that combines consecutive movement analysis with pattern sustainability assessment, providing traders with both directional signals and exhaustion insights for entry/exit timing. 🟢 Signal Interpretation Positive Values (Above Zero): Sequential pattern strength indicating bullish momentum with consecutive upward price movements and sustained buying pressure = Long/Buy opportunities Negative Values (Below Zero): Sequential pattern strength indicating bearish momentum with consecutive downward price movements and sustained selling pressure = Short/Sell opportunities Zero Line Crosses: Pattern transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts when sequences break Upper Threshold Zone: Area above maximum sequence threshold (2x maxSequence) indicating extremely strong bullish patterns approaching exhaustion levels Lower Threshold Zone: Area below negative threshold (-2x maxSequence) indicating extremely strong bearish patterns approaching exhaustion levels
Pine Script®指標
由QuantAlgo提供
AlphaADX Trend Meter - Enhanced ADX VisualizationTechnical Overview This indicator enhances the traditional Average Directional Index (ADX) with advanced visualization techniques and adaptive threshold management. It demonstrates several Pine Script programming concepts including dynamic color gradients, conditional plotting, and real-time information display systems. Mathematical Methodology Core ADX Calculation Uses standard DMI (Directional Movement Index) calculation: ta.dmi(diLength, adxSmoothing) Applies configurable smoothing to reduce noise while preserving trend signals Maintains mathematical integrity of Welles Wilder's original ADX formula Dynamic Color System Gradient Implementation: pinecolor.from_gradient(adxValue, minThreshold, maxThreshold, startColor, endColor) Color Logic: Strong trends (ADX > 25): Bright colors (green for bullish, red for bearish) Weak trends (15 < ADX ≤ 25): Muted colors with transparency Choppy markets (ADX ≤ 15): Gray coloring to indicate low directional movement Gradient mode creates smooth color transitions based on ADX intensity Adaptive Threshold Framework While maintaining standard ADX interpretation levels, the indicator allows customization of: Strong trend threshold (default: 25) Weak trend threshold (default: 20) Chop zone threshold (default: 15) This flexibility accommodates different market conditions and trading styles. Technical Features 1. Multi-Layer Visualization Primary ADX Line: Color-coded based on strength and direction Histogram Display: Shows ADX momentum with transparency effects Trend Meter Bar: Simplified visual reference at bottom of chart Background Zones: Subtle shading for strong trends and chop zones 2. Signal Generation Automatic Detection: Strong trend emergence (ADX crosses above strong threshold) Chop zone entry warnings (ADX falls below chop threshold) Trend direction changes in strong trending markets Visual Markers: Triangle arrows for strong trend signals Cross markers for chop zone warnings Color-coded based on bullish/bearish bias 3. Information Dashboard Real-time table displaying: Current ADX value with dynamic background coloring Trend status classification (Strong/Weak/Neutral/Choppy) Directional bias (Bullish ↑/Bearish ↓) DI+ and DI- values for detailed analysis 4. Alert System Programmatic alerts for: Strong trend emergence Entry into consolidation zones Trend reversals during strong directional moves Breakouts from choppy conditions Programming Techniques Demonstrated Advanced Pine Script Concepts: Dynamic Color Functions: Custom color selection based on multiple conditions Conditional Plotting: Different visual elements based on user preferences Table Implementation: Real-time information display with formatting Alert Integration: Multiple condition monitoring system Input Validation: Parameter bounds and logical constraints Visual Enhancement Methods: Gradient color transitions for smooth visual feedback Transparency effects to reduce visual clutter Multi-component display system for comprehensive analysis Customizable visual elements for user preference accommodation Educational Value This indicator serves as a learning tool for: Enhanced ADX Implementation: Shows how to extend built-in indicators with additional functionality Visual Design Principles: Demonstrates effective use of colors, transparency, and layout User Interface Development: Table creation and information display techniques Alert System Design: Comprehensive condition monitoring and notification Configuration Options ADX Parameters: ADX Length: Period for directional movement calculation DI Length: Directional indicator smoothing period ADX Smoothing: Additional smoothing for noise reduction Threshold Levels: Strong Trend Level: Threshold for identifying strong directional movement Weak Trend Level: Moderate trend identification threshold Chop Zone Level: Low directional movement threshold Visual Controls: Trend Meter: Toggle bottom reference bar Histogram: Show/hide ADX momentum bars Signal Arrows: Enable/disable trend change markers Info Table: Display/hide real-time information panel Gradient Mode: Switch between smooth gradients and solid colors Use Cases and Applications Market Analysis: Trend Identification: Determine current market directional strength Regime Classification: Distinguish between trending and ranging markets Timing Analysis: Identify optimal periods for trend-following strategies Risk Management: Environment Assessment: Avoid trading during low-ADX choppy periods Position Sizing: Adjust trade size based on trend strength Strategy Selection: Choose appropriate techniques based on market regime Educational Purposes: ADX Understanding: Visual representation of directional movement concepts Pine Script Learning: Example of advanced indicator development techniques Market Behavior: Observation of trend strength patterns across different timeframes Limitations and Considerations Technical Limitations: ADX is a lagging indicator that confirms existing trends rather than predicting them Requires sufficient price movement data for meaningful calculations May generate false signals in very low volatility environments Threshold levels may need adjustment for different asset classes Usage Guidelines: Most effective when combined with other forms of technical analysis Consider market context and fundamental factors Use appropriate timeframes for intended trading approach Regular parameter review for optimal performance Performance Notes: Calculations optimized for real-time analysis Visual elements designed to minimize chart clutter Alert system prevents excessive notifications through condition filtering Disclaimer This indicator is designed for educational and analytical purposes. It demonstrates enhanced visualization of the ADX indicator and various Pine Script programming techniques. Users should understand that past performance does not guarantee future results and should always employ proper risk management practices. The indicator should be used as part of a comprehensive trading approach rather than as a standalone decision-making tool.
Pine Script®指標
由AlphaEdge_提供
AlphaRSI Pro - Adaptive RSI with Trend AnalysisOverview AlphaRSI Pro is a technical analysis indicator that enhances the traditional RSI by incorporating adaptive overbought/oversold levels, trend bias analysis, and divergence detection. This indicator addresses common limitations of standard RSI implementations through mathematical adaptations to market volatility. Technical Methodology 1. Smoothed RSI Calculation Applies weighted moving average smoothing to standard RSI(14) Reduces noise while preserving momentum signals Configurable smoothing period (default: 3) 2. Adaptive Level System Mathematical Approach: Calculates ATR-based volatility ratio: volatility_ratio = current_ATR / average_ATR Applies dynamic adjustment: adaptive_level = base_level ± (volatility_ratio - 1) × 20 Bounds levels between practical ranges (15-35 for oversold, 65-85 for overbought) Purpose: Adjusts RSI sensitivity based on current market volatility conditions rather than using fixed 70/30 levels. 3. Trend Bias Integration Uses Simple Moving Average slope analysis over configurable period Calculates trend strength: |slope / price| × 100 Provides visual background shading for trend context Filters RSI signals based on underlying price trend direction 4. Signal Generation Logic Entry Conditions: Bullish: RSI crosses above adaptive oversold level Bearish: RSI crosses below adaptive overbought level Strong signals: Include trend bias confirmation Enhancement over standard RSI: Reduces false signals in choppy markets by requiring trend alignment for "strong" signals. 5. Divergence Detection Automated identification of regular bullish/bearish divergences Uses 5-bar lookback for pivot detection Compares price highs/lows with corresponding RSI highs/lows Plots divergence markers when conditions are met Key Features Real-time adaptive levels based on volatility Trend-filtered signals to improve reliability Built-in divergence scanner Information dashboard showing current values Comprehensive alert system Clean visual presentation with customizable colors Usage Guidelines This indicator works best when: Combined with proper risk management Used in conjunction with other technical analysis Applied to liquid markets with sufficient volatility data Configured appropriately for the selected timeframe Input Parameters RSI Period: Standard RSI calculation length (default: 14) Smoothing Period: WMA smoothing for noise reduction (default: 3) Volatility Lookback: Period for ATR volatility calculation (default: 50) Base OB/OS Levels: Starting points for adaptive adjustment (70/30) Trend Period: Moving average length for trend bias (default: 21) Alert Conditions Bullish Signal: RSI crosses above adaptive oversold Bearish Signal: RSI crosses below adaptive overbought Strong Bullish/Bearish: Signals with trend confirmation Divergence Alerts: Automated divergence detection Educational Value This indicator demonstrates several advanced Pine Script concepts: Dynamic level calculation using mathematical formulas Multi-timeframe analysis integration Conditional signal filtering based on market state Table display for real-time information Comprehensive alert system implementation Limitations Requires sufficient historical data for volatility calculations May generate fewer signals in very low volatility environments Trend bias effectiveness depends on selected MA period Divergences may not always lead to immediate reversals Disclaimer This indicator is for educational and analysis purposes. Past performance does not guarantee future results. Always use proper risk management and consider multiple forms of analysis before making trading decisions.
Pine Script®指標
由AlphaEdge_提供
ADX MTF mura visionOverview ADX MTF — mura vision measures trend strength and visualizes a higher-timeframe (HTF) ADX on any chart. The current-TF ADX is drawn as a line; the HTF ADX is rendered as “step” segments to reflect closed HTF bars without repainting. Optional soft fills highlight the 20–25 (trend forming) and 40–50 (strong trend) zones. How it works ADX (current TF) : Classic Wilder formulation using DI components and RMA smoothing. HTF ADX : Requested via request.security(..., lookahead_off, gaps_off). When a new HTF bar opens, the previous value is frozen as a horizontal segment. The current HTF bar is shown as a live moving segment. This staircase look is expected on lower timeframes. Auto timeframe mapping If “Auto” is selected, the HTF is derived from the chart TF: <30m → 60m, 30–<240m → 240m, 240m–<1D → 1D, 1D → 1W, 1W/2W → 1M, ≥1M → same. Inputs DI Length and ADX Smoothing — core ADX parameters. Higher Time Frame — Auto or a fixed TF. Line colors/widths for current ADX and HTF ADX. Fill zone 20–25 and Fill zone 40–50 — optional light background fills. Number of HTF ADX Bars — limits stored HTF segments to control chart load. Reading the indicator ADX < 20: typically range-bound conditions; trend setups require extra caution. 20–25: trend emergence; breakouts and continuation structures gain validity. 40–50: strong trend; favor continuation and manage with trailing stops. >60 and turning down: possible trend exhaustion or transition toward range. Note: ADX measures strength, not direction. Combine with your directional filter (e.g., price vs. MA, +DI/−DI, structure/levels). Non-repainting behavior HTF values use lookahead_off; closed HTF bars are never revised. The only moving piece is the live segment for the current HTF bar. Best practices Use HTF ADX as a regime filter; time entries with the current-TF ADX rising through your threshold. Pair with ATR-based stops and a MA/structure filter for direction. Consider higher thresholds on highly volatile altcoins. Performance notes The script draws line segments for HTF bars. If your chart becomes heavy, reduce “Number of HTF ADX Bars.” Disclaimer This script is for educational purposes only and does not constitute financial advice. Trading involves risk.
Pine Script®指標
由trading_mura提供
RSI Multi Time FrameWhat it is A clean, two-layer RSI that shows your chart-timeframe RSI together with a higher-timeframe (HTF) RSI on the same pane. The HTF line is drawn as a live segment plus frozen “steps” for each completed HTF bar, so you can see where the higher timeframe momentum held during your lower-timeframe bars. How it works Auto HTF mapping (when “Auto” is selected): Intraday < 30m → uses 60m (1-hour) RSI 30m ≤ tf < 240m (4h) → uses 240m (4-hour) RSI 240m ≤ tf < 1D → uses 1D RSI 1D → uses 1W RSI 1W or 2W → uses 1M RSI ≥ 1M → keeps the same timeframe The HTF series is requested with request.security(..., gaps_off, lookahead_off), so values are confirmed bar-by-bar. When a new HTF bar begins, the previous value is “frozen” as a horizontal segment; the current HTF value is shown by a short moving segment and a small dot (so you can read the last value easily). Visuals Current RSI (chart TF): solid line (color/width configurable). HTF RSI: same-pane line + tiny circle for the latest value; historical step segments show completed HTF bars. Guides: dashed 70 / 30 bands, dotted 60/40 helpers, dashed 50 midline. Inputs Higher Time Frame: Auto or a fixed TF (1, 3, 5, 10, 15, 30, 45, 60, 120, 180, 240, 360, 480, 720, D, W, 2W, M, 3M, 6M, 12M). Length: RSI period (default 14). Source: price source for RSI. RSI / HTF RSI colors & widths. Number of HTF RSI Bars: how many frozen HTF segments to keep. Reading it Alignment: When RSI (current TF) and HTF RSI both push in the same direction, momentum is aligned across frames. Divergence across frames: Current RSI failing to confirm HTF direction can warn about chops or early slowdowns. Zones: 70/30 boundaries for classic overbought/oversold; 60/40 can be used as trend bias rails; 50 is the balance line. This is a context indicator, not a signal generator. Combine with your entry/exit rules. Notes & limitations HTF values do not repaint after their bar closes (lookahead is off). The short “live” segment will evolve until the HTF bar closes — this is expected. Very small panels or extremely long histories may impact performance if you keep a large number of HTF segments. Credits Original concept by LonesomeTheBlue; Pine v6 refactor and auto-mapping rules by trading_mura. Suggested use Day traders: run the indicator on 5–15m and keep HTF on Auto to see 1h/4h momentum. Swing traders: run it on 1h–4h and watch the daily HTF. Position traders: run on daily and watch the weekly HTF. If you find it useful, a ⭐ helps others discover it.
Pine Script®指標
由trading_mura提供
Top and Bottom Probability The top and bottom probability oscillator is an educational indicator that estimates the probability of a local top or bottom using four ingredients: price extension since the last RSI overbought/oversold, time since that OB/OS event, RSI divergence strength, Directional Momentum Velocity (DMV) — a normalized, signed trend velocity. It plots RSI, two probability histograms (Top %, Bottom %), and an optional 0–100 velocity gauge. How to read it RSI & Levels: Standard RSI with OB/OS lines (70/30 by default). Prob Top (%): Red histogram, 0–100. Higher values suggest increasing risk of a local top after an RSI overbought anchor. Prob Bottom (%): Green histogram, 0–100. Higher values suggest increasing chance of a local bottom after an RSI oversold anchor. Velocity (0–100): Optional line. Above 50 = positive/upward DMV; below 50 = negative/downward DMV. DMV pushes Top risk when trending down and Bottom chance when trending up. These are composite, scale-free scores, not certainties or trade signals. What the probabilities consider Price Delta: How far price has moved beyond the last OB (for tops) or below the last OS (for bottoms). More extension → higher probability. Time Since OB/OS: Longer time since the anchor → higher probability (until capped by the “Time Normalization (bars)” input). Oscillator Divergence: RSI pulling away from its last OB/OS reading in the opposite direction implies weakening momentum and increases probability. Directional Momentum Velocity (DMV): Computes a regression slope of hlc3 vs. bar index, normalized by ATR, then squashed with tanh. Downward DMV boosts Top probability; upward DMV boosts Bottom probability. Toggle the velocity plot and adjust its sensitivity with Velocity Lookback, ATR Length, and Velocity Gain. All four terms are blended with user-set weights. If Normalize Weights is ON, weights are rescaled to sum to 1. Inputs (most useful) RSI Length / OB / OS: Core RSI setup. Time Normalization (bars): Sets how quickly the “time since OB/OS” term ramps from 0→1. Weights: Price Delta, Time Since OB/OS, Osc Divergence, Directional Velocity. Turn Normalize Weights ON to keep the blend consistent when you experiment. Settings: Velocity Lookback: Window for slope estimation (shorter = more reactive). ATR Length: Normalizes slope so symbols/timeframes are comparable. Velocity Gain: Steepens or softens the tanh curve (higher = punchier extremes). Show Velocity (0–100): Toggles the DMV display. Tip: If you prefer momentum measured on RSI rather than price, in the DMV block replace hlc3 with rsi (concept stays identical). Practical tips Use Top/Bottom % as context, not triggers. Combine with structure (S/R), trend filters, and risk management. On strong trends, expect the opposite probability (e.g., Top % during an uptrend) to stay suppressed longer. Calibrate weights: e.g., raise Osc Divergence on mean-reversion symbols; raise Velocity in trending markets. For lower noise: lengthen Velocity Lookback and ATR Length, or reduce Velocity Gain.
Pine Script®指標
由Cmo22提供
FibADX MTF Dashboard — DMI/ADX with Fibonacci DominanceFibADX MTF Dashboard — DMI/ADX with Fibonacci Dominance (φ) This indicator fuses classic DMI/ADX with the Fibonacci Golden Ratio to score directional dominance and trend tradability across multiple timeframes in one clean panel. What’s unique • Fibonacci dominance tiers: • BULL / BEAR → one side slightly stronger • STRONG when one DI ≥ 1.618× the other (φ) • EXTREME when one DI ≥ 2.618× (φ²) • Rounded dominance % in the +DI/−DI columns (e.g., STRONG BULL 72%). • ADX column modes: show the value (with strength bar ▂▃▅… and slope ↗/↘) or a tier (Weak / Tradable / Strong / Extreme). • Configurable intraday row (30m/1H/2H/4H) + D/W/M toggles. • Threshold line: color & width; Extended (infinite both ways) or Not extended (historical plot). • Theme presets (Dark / Light / High Contrast) or full custom colors. • Optional panel shading when all selected TFs are strong (and optionally directionally aligned). How to use 1. Choose an intraday TF (30/60/120/240). Enable D/W/M as needed. 2. Use ADX ≥ threshold (e.g., 21 / 34 / 55) to find tradable trends. 3. Read the +DI/−DI labels to confirm bias (BULL/BEAR) and conviction (STRONG/EXTREME). 4. Prefer multi-TF alignment (e.g., 4H & D & W all strong bull). 5. Treat EXTREME as a momentum regime—trail tighter and scale out into spikes. Alerts • All selected TFs: Strong BULL alignment • All selected TFs: Strong BEAR alignment Notes • Smoothing selectable: RMA (Wilder) / EMA / SMA. • Percentages are whole numbers (72%, not 72.18%). • Shorttitle is FibADX to comply with TV’s 10-char limit. Why We Use Fibonacci in FibADX Traditional DMI/ADX indicators rely on fixed numeric thresholds (e.g., ADX > 20 = “tradable”), but they ignore the relationship between +DI and −DI, which is what really determines trend conviction. FibADX improves on this by introducing the Fibonacci Golden Ratio (φ ≈ 1.618) to measure directional dominance and classify trend strength more intelligently. ⸻ 1. Fibonacci as a Natural Strength Threshold The golden ratio φ appears everywhere in nature, growth cycles, and fractals. Since financial markets also behave fractally, Fibonacci levels reflect natural crowd behavior and trend acceleration points. In FibADX: • When one DI is slightly larger than the other → BULL or BEAR (mild advantage). • When one DI is at least 1.618× the other → STRONG BULL or STRONG BEAR (trend conviction). • When one DI is 2.618× or more → EXTREME BULL or EXTREME BEAR (high momentum regime). This approach adds structure and consistency to trend classification. ⸻ 2. Why 1.618 and 2.618 Instead of Random Numbers Other traders might pick thresholds like 1.5 or 2.0, but φ has special mathematical properties: • φ is the most irrational ratio, meaning proportions based on φ retain structure even when scaled. • Using φ makes FibADX naturally adaptive to all timeframes and asset classes — stocks, crypto, forex, commodities. ⸻ 3 . Trading Advantages Using the Fibonacci Golden Ratio inside DMI/ADX has several benefits: • Better trend filtering → Avoid false DI crossovers without conviction. • Catch early momentum shifts → Spot when dominance ratios approach φ before ADX reacts. • Consistency across markets → Because φ is scalable and fractal, it works everywhere. ⸻ 4. How FibADX Uses This FibADX combines: • +DI vs −DI ratio → Measures directional dominance. • φ thresholds (1.618, 2.618) → Classifies strength into BULL, STRONG, EXTREME. • ADX threshold → Confirms whether the move is tradable or just noise. • Multi-timeframe dashboard → Aligns bias across 4H, D, W, M. ⸻ Quick Blurb for TradingView FibADX uses the Fibonacci Golden Ratio (φ ≈ 1.618) to classify trend strength. Unlike classic DMI/ADX, FibADX measures how much one side dominates: • φ (1.618) = STRONG trend conviction • φ² (2.618) = EXTREME momentum regime This creates an adaptive, fractal-aware framework that works across stocks, crypto, forex, and commodities. ⚠️ Disclaimer : This script is provided for educational purposes only. It does not constitute financial advice. Use at your own risk. Always do your own research before making trading decisions. Created by @nomadhedge
Pine Script®指標
由nomadhedge提供
1
Ultra Volume DetectorNative Volume — Auto Levels + Ultra Label What it does This indicator classifies volume bars into four categories — Low, Medium, High, and Ultra — using rolling percentile thresholds. Instead of fixed cutoffs, it adapts dynamically to recent market activity, making it useful across different symbols and timeframes. Ultra-high volume bars are highlighted with labels showing compacted values (K/M/B/T) and the appropriate unit (shares, contracts, ticks, etc.). Core Logic Dynamic thresholds: Calculates percentile levels (e.g., 50th, 80th, 98th) over a user-defined window of bars. Categorization: Bars are colored by category (Low/Med/High/Ultra). Ultra labeling: Only Ultra bars are labeled, preventing chart clutter. Optional MA: A moving average of raw volume can be plotted for context. Alerts: Supports both alert condition for Ultra events and dynamic alert() messages that include the actual volume value at bar close. How to use Adjust window size: Larger windows (e.g., 200+) provide stable thresholds; smaller windows react more quickly. Set percentiles: Typical defaults are 50 for Medium, 80 for High, and 98 for Ultra. Lower the Ultra percentile to see more frequent signals, or raise it to isolate only extreme events. Read chart signals: Bar colors show the category. Labels appear only on Ultra bars. Alerts can be set up for automatic notification when Ultra volume occurs. Why it’s unique Adaptive: Uses rolling statistics, not static thresholds. Cross-asset ready: Adjusts units automatically depending on instrument type. Efficient visualization: Focuses labels only on the most significant events, reducing noise. ⚠️ Disclaimer: This tool is for educational and analytical purposes only. It does not provide financial advice. Always test and manage risk before trading live
Pine Script®指標
由GoldenCryptoSignals提供
Daily SMA200 Distance - Percentile Zones The Daily SMA200 Distance – Percentile Zones indicator measures the percentage distance of price relative to the 200-day Simple Moving Average (SMA200) and classifies it into historical percentile zones. This tool helps identify the context of an asset in relation to its medium- to long-term trend: Cheap Zone (< P25): price at historically low levels relative to the SMA200. Value Zone (P25–P50): neutral range, where price trades around its medium-term average. Acceptable Zone (P50–P65): moderately high levels, still reasonable within an uptrend. Not Recommended Zone (P65–P76): overextended territory with rising correction risk. Very Expensive Zone (≥ P76): extreme levels, historically linked to overvaluation and potential market tops. Percentile calculations update dynamically with each new daily candle, providing a robust and objective statistical perspective for swing trading and portfolio management decisions.
Pine Script®指標
由ed_andresdl提供