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Synapse Node: Heavyweight BreadthOverview The Synapse Node: Heavyweight Breadth is a sophisticated market sentiment engine designed for the Cortex Suite. It analyzes the "internals" of the NASDAQ-100 by tracking the real-time trend alignment of the six most influential heavyweights: AAPL, MSFT, NVDA, AMZN, META, and GOOGL. By combining equity breadth with institutional footprint data, it provides a high-conviction filter for intraday trading. Core Features 1. Heavyweight Breadth Scoring (6-Factor) The script monitors the six major stocks that dictate market direction. The Score: Each stock contributes +1 (Bullish) or -1 (Bearish) based on its alignment with a 20-period EMA. Aggregated Sentiment: This results in a score ranging from -6 to +6, representing the true internal strength of the market. Institutional Alignment: Signals only fire when the breadth score meets a user-defined threshold and aligns with the institutional footprint. 2. Footprint Alpha (1-Second Precision) Under the hood, the node processes 1-second footprint data to detect Delta Anomalies. It tracks aggressive buying and selling pressure. High-conviction signals require "Anomalous Delta" (Delta exceeding the Sigma threshold) to confirm that big money is participating in the breadth move. 3. Integrated HUD (Cortex Monochrome) A sleek, non-intrusive Heads-Up Display (HUD) provides real-time data at a glance: Breadth Bias: Instant visual confirmation of market direction. Pulse Tier: A quantified weight (1-3) showing the current conviction level. 1S Delta: Real-time institutional volume flow tracking. 4. Synapse Matrix Bus (Protocol 200.PBCCC) As a component of the Cortex Suite, this node outputs a specialized signal onto the Matrix Bus: Pulse (P): 3.0 (Max 6/6 Breadth + Anomaly), 2.0 (Strong), 1.0 (Moderate). Bias (B): Decoded as 1 (Bull) or 2 (Bear). Confidence (C): A normalized percentage (up to 95%) based on the breadth consensus. How to Use The Lead Indicator: Use this node as your primary "Green Light" filter. Avoid longs when Breadth is negative, and avoid shorts when Breadth is positive. Contextual Confluence: When the score hits +/- 6, it indicates a "Heavyweight Sweep," representing a high-probability institutional trend day. Bridge Integration: When used with the execution bridge, this node prevents "fake-out" entries by ensuring the underlying market internals support the trade. Settings Breadth Threshold: Set the minimum number of stocks (e.g., 4 out of 6) required to fire a signal. Footprint sigma: Adjust sensitivity to aggressive institutional volume. Bridge Mode: Streamlines visuals for use in automated or semi-automated execution setups
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Selfsimilarity tarafından
Adaptive Hull Momentum Ribbon [JOAT]Adaptive Hull Momentum Ribbon Introduction The Adaptive Hull Momentum Ribbon is an open-source trend-following indicator that combines a 5-layer Hull Moving Average (HMA) ribbon with EMA cloud analysis, key moving averages (SMA 50/200, EMA 200), crossover detection, and comprehensive trend strength analytics. This mashup creates a multi-layered trend identification system designed to show not just trend direction, but trend quality, alignment across multiple timeframes, and confluence between different moving average methodologies. The indicator addresses a fundamental challenge in trend trading: single moving averages provide limited information about trend strength and quality. By layering five HMAs with different periods, adding an EMA cloud for short-term momentum, and tracking alignment with key institutional moving averages, this tool provides a complete picture of trend health that helps traders distinguish between strong trends worth following and weak trends likely to fail. Chart showing 5-layer HMA ribbon, EMA cloud, and key MAs with trend dashboard on D timeframe Why This Mashup Exists This indicator combines four moving average frameworks that complement each other: Hull Moving Average Ribbon: 5 HMAs (8, 13, 21, 34, 55) providing smooth, responsive trend indication EMA Cloud: Fast (9) and Slow (21) EMAs showing short-term momentum Key Institutional MAs: SMA 50, SMA 200, EMA 200 tracked by institutions globally Crossover Detection: Golden Cross, Death Cross, and HMA crossovers Each component serves a specific purpose: HMA Ribbon shows trend with minimal lag, EMA Cloud captures short-term momentum shifts, Key MAs provide institutional reference levels, and Crossovers signal major trend changes. Together, they create a comprehensive trend analysis system that shows both micro (HMA/EMA) and macro (SMA 50/200) trend structure. The mashup is justified because these moving average types use fundamentally different calculations (weighted moving average with square root period for HMA, exponential weighting for EMA, simple average for SMA) that respond to price changes differently. When they align, it indicates genuine trend strength across multiple calculation methods and timeframes. Core Components Explained 1. Hull Moving Average Ribbon System HMA calculation provides smooth, responsive moving averages with reduced lag: // Hull Moving Average formula hullMA(src, length) => wma1 = ta.wma(src, length / 2) wma2 = ta.wma(src, length) ta.wma(2 * wma1 - wma2, int(math.sqrt(length))) // 5-layer ribbon hma8 = hullMA(close, 8) // Fastest, most responsive hma13 = hullMA(close, 13) hma21 = hullMA(close, 21) // Medium-term trend hma34 = hullMA(close, 34) hma55 = hullMA(close, 55) // Slowest, smoothest HMA advantages over traditional MAs: Significantly reduced lag compared to SMA/EMA Smooth line without excessive whipsaws Responsive to price changes while filtering noise Square root period weighting provides optimal balance Ribbon interpretation: Full Bullish Alignment: HMA8 > HMA13 > HMA21 > HMA34 > HMA55 = strong uptrend Full Bearish Alignment: HMA8 < HMA13 < HMA21 < HMA34 < HMA55 = strong downtrend Mixed Alignment: HMAs crossing or intertwined = weak trend or consolidation Ribbon Width: Wide ribbon = strong trend, narrow ribbon = weak trend The indicator plots all 5 HMAs with gradient coloring (green to red) and fills between them to create visual ribbon effect. 2. EMA Cloud System Fast and slow EMAs create a cloud showing short-term momentum: emaFast = ta.ema(close, 9) // Short-term momentum emaSlow = ta.ema(close, 21) // Medium-term trend // Cloud color emaCloudBullish = emaFast > emaSlow emaCloudBearish = emaFast < emaSlow EMA Cloud significance: Fast EMA above Slow EMA = bullish momentum Fast EMA below Slow EMA = bearish momentum Cloud acts as dynamic support/resistance Cloud thickness indicates momentum strength Price above cloud = bullish, below cloud = bearish The indicator fills the area between fast and slow EMAs with color based on direction (green for bullish, red for bearish). 3. Key Institutional Moving Averages Three widely-watched institutional moving averages: sma50 = ta.sma(close, 50) // Short-term institutional trend sma200 = ta.sma(close, 200) // Long-term institutional trend ema200 = ta.ema(close, 200) // Alternative long-term trend // Golden Cross / Death Cross goldenCross = sma50 > sma200 // Bullish long-term deathCross = sma50 < sma200 // Bearish long-term Key MA significance: SMA 50: Short-term institutional trend, strong support/resistance SMA 200: Most watched long-term trend indicator globally EMA 200: More responsive alternative to SMA 200 Golden Cross: SMA 50 crosses above SMA 200 = major bullish signal Death Cross: SMA 50 crosses below SMA 200 = major bearish signal These MAs are plotted with distinct colors and act as major support/resistance levels. 4. Comprehensive Crossover Detection The indicator detects multiple types of crossovers: // Golden Cross / Death Cross (major signals) goldenCross = ta.crossover(sma50, sma200) deathCross = ta.crossunder(sma50, sma200) // EMA Cloud crossovers (momentum shifts) emaBullCross = ta.crossover(emaFast, emaSlow) emaBearCross = ta.crossunder(emaFast, emaSlow) // HMA fast crossovers (early trend changes) hmaFastBullCross = ta.crossover(hma8, hma13) hmaFastBearCross = ta.crossunder(hma8, hma13) Crossover hierarchy: Golden/Death Cross: Major long-term trend changes (rare, very significant) EMA Crossovers: Medium-term momentum shifts (moderate frequency) HMA Crossovers: Short-term trend changes (frequent, early signals) The indicator marks crossovers with shapes: circles for Golden/Death Cross, triangles for EMA crossovers, diamonds for HMA crossovers. 5. Trend Strength Analytics Comprehensive trend strength calculation: // Calculate alignment score alignmentScore = 0 alignmentScore := (close > hma8 ? 1 : -1) + (close > hma13 ? 1 : -1) + (close > hma21 ? 1 : -1) + (close > hma34 ? 1 : -1) + (close > hma55 ? 1 : -1) + (close > emaFast ? 1 : -1) + (close > emaSlow ? 1 : -1) + (close > sma50 ? 1 : -1) + (close > sma200 ? 1 : -1) // Normalize to 0-100 scale trendStrength = (alignmentScore + 9) / 18 * 100 Trend Strength interpretation: 75-100: STRONG BULL - price above all MAs, high-quality uptrend 55-74: BULL - price above most MAs, moderate uptrend 45-54: NEUTRAL - mixed signals, no clear trend 26-44: BEAR - price below most MAs, moderate downtrend 0-25: STRONG BEAR - price below all MAs, high-quality downtrend Example showing full HMA alignment with 55% trend strength score Confluence Scoring System The indicator calculates a confluence score showing agreement between different MA systems: Confluence Score Components: - HMA Trend: +3 if full alignment, 0 if mixed, -3 if opposite - EMA Cloud: +2 if bullish, -2 if bearish - Price vs SMA 50: +1 if above, -1 if below - Price vs SMA 200: +2 if above, -2 if below - SMA 50 vs 200: +2 if golden cross, -2 if death cross Total Range: -10 to +10 Confluence interpretation: +8 to +10: STRONG confluence - all systems aligned bullish +5 to +7: MODERATE confluence - most systems bullish -4 to +4: WEAK confluence - mixed or conflicting signals -7 to -5: MODERATE confluence - most systems bearish -10 to -8: STRONG confluence - all systems aligned bearish Enhanced Dashboard System The dashboard (top-right position) displays 9 rows: Row 1: MA System header Row 2: Trend classification (STRONG BULL/BULL/NEUTRAL/BEAR/STRONG BEAR) Row 3: Trend Strength percentage (0-100%) Row 4: HMA Alignment status (Bullish/Bearish/Mixed) Row 5: EMA Cloud status (Bullish/Bearish) Row 6: Price vs 200 MA (Above/Below) Row 7: 50 vs 200 MA (Golden/Death) Row 8: Confluence score (-10 to +10) Row 9: Confluence strength (STRONG/MODERATE/WEAK) Dashboard showing trend metrics with color-coded confluence score Visual Elements HMA Ribbon: 5 HMA lines with gradient coloring (green to red) and fills between lines EMA Cloud: Filled area between fast and slow EMAs with transparency SMA 50: Blue line (short-term institutional trend) SMA 200: Orange line (long-term institutional trend) EMA 200: Purple line (alternative long-term trend) Golden/Death Cross Markers: Large circles at major crossovers EMA Cross Markers: Small triangles at EMA crossovers HMA Cross Markers: Tiny diamonds at HMA crossovers Dashboard: Comprehensive table with all trend metrics How Components Work Together The mashup creates layered trend analysis: Layer 1 - Micro Trend: HMA 8/13 crossovers show earliest trend changes Layer 2 - Short-Term Momentum: EMA cloud shows momentum direction Layer 3 - Medium-Term Trend: HMA 21/34/55 ribbon shows established trend Layer 4 - Institutional Trend: SMA 50/200 show long-term institutional bias Layer 5 - Synthesis: Trend strength and confluence scores combine all layers Example scenario: HMA 8 crosses above HMA 13 (Layer 1), EMA cloud turns bullish (Layer 2), all 5 HMAs align bullish (Layer 3), price is above SMA 50 and SMA 200 in golden cross (Layer 4). Trend strength reaches 92% and confluence score is +9 (Layer 5), signaling extremely strong uptrend with all systems aligned. Input Parameters HMA Ribbon Settings: Show HMA Ribbon: Toggle ribbon display (default: enabled) HMA 1 Length: Fastest HMA (default: 8) HMA 2 Length: (default: 13) HMA 3 Length: (default: 21) HMA 4 Length: (default: 34) HMA 5 Length: Slowest HMA (default: 55) EMA Cloud Settings: Show EMA Cloud: Toggle cloud display (default: enabled) Fast EMA: Short-term EMA (default: 9) Slow EMA: Medium-term EMA (default: 21) Cloud Transparency: Adjust fill transparency (default: 85) Key MA Settings: Show SMA 50: Toggle SMA 50 (default: enabled) Show SMA 200: Toggle SMA 200 (default: enabled) Show EMA 200: Toggle EMA 200 (default: enabled) Crossover Settings: Show Crossovers: Toggle crossover markers (default: enabled) Show Golden/Death Cross: Major crossovers (default: enabled) Show EMA Crossovers: EMA cloud crossovers (default: enabled) Show HMA Crossovers: HMA fast crossovers (default: enabled) Display Options: Show Trend Strength: Toggle dashboard (default: enabled) Ribbon Transparency: Adjust HMA fill transparency (default: 70) Dashboard Position: Top-right, top-left, etc. Color Theme: Choose color scheme How to Use This Indicator Step 1: Check HMA Ribbon Alignment Look for full alignment (all 5 HMAs in order). Full alignment indicates strong, high-quality trend worth following. Step 2: Verify EMA Cloud Direction Ensure EMA cloud supports HMA direction. Bullish HMA + bullish EMA cloud = strong confirmation. Step 3: Check Key MA Position Verify price is above SMA 50 and SMA 200 for long trades, below for short trades. Golden Cross adds significant bullish weight. Step 4: Review Trend Strength Check dashboard trend strength percentage. Above 70% indicates strong trend, below 40% suggests caution. Step 5: Assess Confluence Score Review confluence score. Scores above +7 indicate strong multi-system alignment. Scores near 0 suggest mixed signals. Step 6: Watch for Crossovers Monitor crossover markers. Golden/Death Cross are major signals. HMA crossovers provide early trend change warnings. Best Practices Use on 1-hour to daily timeframes for optimal trend identification Full HMA alignment (5/5) produces highest-quality trend-following opportunities EMA cloud acts as dynamic support/resistance - use for entry refinement Golden Cross with full HMA alignment = extremely strong bullish setup Trend strength above 80% suggests strong trend continuation potential Confluence score above +8 indicates rare, high-probability trend alignment HMA crossovers provide early warnings but confirm with other layers Wide ribbon spacing indicates strong momentum, narrow spacing suggests consolidation Combine with price action and key levels for precise entries Indicator Limitations Moving averages are lagging indicators - trends confirmed after they've started HMA crossovers can produce false signals in choppy markets Full alignment is rare - waiting only for perfect setups may miss opportunities Trend strength can remain high even as trend is ending Golden/Death Cross signals are very lagging (occur well after trend change) Multiple MAs can clutter chart - adjust display settings as needed Confluence score is mathematical calculation, not prediction Strong trends can reverse suddenly despite high trend strength scores Requires understanding of moving average concepts for effective use Technical Implementation Built with Pine Script v6 using: Custom Hull Moving Average calculation with WMA and square root period 5-layer HMA ribbon with gradient fills EMA cloud with dynamic coloring Key institutional MA tracking (SMA 50/200, EMA 200) Multiple crossover detection systems Comprehensive trend strength algorithm Confluence scoring with weighted components 9-row dashboard with real-time metrics Alert conditions for all major crossovers The code is fully open-source and can be modified to adjust MA periods, colors, and dashboard layout. Originality Statement This indicator is original in its multi-layer moving average integration approach. While individual components (HMA, EMA cloud, SMA 50/200, crossovers) are established tools, this mashup is justified because: It combines three different MA calculation methods (HMA, EMA, SMA) that respond differently to price 5-layer HMA ribbon provides granular trend quality assessment Trend strength algorithm quantifies alignment across all 9 moving averages Confluence scoring shows agreement between different MA systems Integration of micro (HMA/EMA) and macro (SMA 50/200) trend perspectives Comprehensive dashboard presents complex multi-MA data clearly Each MA type contributes unique information: HMAs provide responsive trend indication with minimal lag, EMAs show short-term momentum, and SMAs provide institutional reference levels. The mashup's value lies in showing when these different calculation methods align, indicating genuine trend strength across multiple mathematical approaches and timeframes. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Moving averages are lagging indicators that confirm trends after they've begun. They do not predict future price movement. Strong trends can reverse suddenly, and high trend strength scores do not guarantee trend continuation. Golden Cross and Death Cross signals are very lagging and trends may be well-established before these signals occur. The trend strength and confluence scores are mathematical calculations based on current MA positions, not predictions of future price movement. Past trend strength does not guarantee future performance. Market conditions change, and trends that appear strong can reverse without warning. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
Pine Script® göstergesi
officialjackofalltrades tarafından
TIKOLE RSI 1️⃣ Advanced RSI with Divergence 📌 What It Does Detects: Bullish Divergence → Price makes Lower Low, RSI makes Higher Low Bearish Divergence → Price makes Higher High, RSI makes Lower High 🟢 How To Use Buy Setup (Bullish Divergence): Price makes a new low RSI does NOT make a new low RSI is near 30 zone Wait for candle confirmation (bullish candle) 👉 Entry after confirmation 👉 Stop Loss below recent swing low 👉 Target = Previous resistance Best Use: Swing trading, reversal trading 2️⃣ RSI + Moving Average 📌 What It Does Adds a Moving Average to RSI line. 🟢 How To Use Buy Signal: RSI crosses above its MA RSI above 50 level Sell Signal: RSI crosses below its MA RSI below 50 level 👉 This filters fake signals 👉 Works well in trending markets Best Use: Trend-following strategy 3️⃣ RSI Strategy with Backtesting 📌 What It Does Turns RSI into a strategy: Automatically enters/exits trades Shows profit/loss Win rate Drawdown 🟢 How To Use Example: Buy when RSI crosses above 30 Sell when RSI crosses below 70 Then: Go to Strategy Tester Check performance Optimize RSI length 👉 Best for system traders 👉 Helps find best settings 4️⃣ Non-Repainting RSI Signals 📌 What It Does Waits for candle close before confirming signal. 🟢 How To Use Only trade after candle closes Avoid signals during live forming candle Use confirmed pivots only 👉 More reliable 👉 Slight delay but safer 5️⃣ RSI with Multi-Timeframe Confirmation 📌 What It Does Uses RSI from higher timeframe (like 1H) on lower timeframe (like 5m). 🟢 How To Use Example: 1H RSI above 50 (trend bullish) 5m RSI oversold (30 zone) Enter buy 👉 Trade in direction of higher timeframe 👉 Reduces fake reversals
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TIKOLE14 tarafından
Nested SMA Fib WaveA multi-timeframe-style moving average ribbon made of 8 Simple Moving Averages (SMAs) whose lengths follow consecutive Fibonacci numbers, each scaled by a user-chosen base length.You pick a starting Fibonacci number (e.g. 5, 8, 13, 21, 34…) via dropdown The script takes the next 7 Fibonacci numbers in sequence Each is multiplied by your base length → produces 8 progressively longer SMAs Plots them as a colorful “wave” ribbon + optional zone shading between pairs Includes bar-coloring modes based on distance from a chosen reference MA (gradient strength, simple above/below, etc.) Example (base = 10, start Fib = 13): Lengths → 130, 210, 340, 550, 890, 1 440, 2 330, 3 770Primary Use CasesTrend Strength & Multi-Timeframe Context Wider ribbon = strong trend / high volatility Narrow / converging ribbon = consolidation / potential reversal Price riding the upper/lower edge = strong directional momentum Dynamic Support/Resistance Zones The shaded areas between MAs act as natural support/resistance layers Price reactions at different Fib-based levels often highlight key zones Trend-Following Entries & Exits Pullbacks to a middle MA (e.g. MA4 or MA5) in a trending ribbon → higher-probability entries Ribbon inversion / major expansion → potential trend-change signal Filtering Noise on Lower Timeframes Use a higher base length (or later-starting Fib) to create very smooth, longer-term context Combine with shorter base/start for tactical entries on the same chart Visual “Market Regime” Identification Tight, flat, overlapping MAs → ranging/choppy market Strongly fanned-out ribbon → trending market (bullish or bearish depending on slope) In short: It’s a visually intuitive way to see trend persistence, strength, and hierarchy of support/resistance using Fibonacci-proportioned smoothing periods instead of arbitrary or power-of-2 steps.
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surfchaser tarafından
Swiss Army Moving Averages + VwapJust thew together a Swiss Army Knife of Moving Averages 4 EMA's, 4 SMA's, and Vwap all rolled into one simple indicator that just uses one slot on your plans amount I hope this is useful Happy Trading, 1. Exponential Moving Averages (EMAs) EMA What it shows you Why it can be handy EMA 1 (default length 9) Very short‑term trend, reacts quickly to price changes. Good for spotting rapid momentum shifts or early entry signals. EMA 2 (default length 20) Short‑term trend, a bit smoother than the 9‑period EMA. Often used as a “fast” line in classic EMA cross‑overs. EMA 3 (default length 50) Mid‑term trend. Helps confirm whether the shorter EMAs are part of a larger move. EMA 4 (default length 200) Long‑term trend, very smooth.Serves as a major support/resistance level; price above it is generally bullish, below it bearish. All four EMAs can be turned on or off individually and coloured to your liking. 2. Simple Moving Averages (SMAs) SMA What it shows you Why it can be handy SMA 1 (default length 9) Same short‑term window as EMA 1 but with equal weighting of each bar. Useful if you prefer a less‑reactive line for comparison with the EMA. SMA 2 (default length 20) Classic “20‑day” SMA many traders watch. Often used as a benchmark for medium‑term price action. SMA 3 (default length 50) Mid‑term average, smoother than the 20‑day SMA. Helps identify the overall direction over a few weeks. SMA 4 (default length 200) Long‑term average, similar to the EMA 4 but calculated differently. Acts as a strong support/resistance zone; many traders treat a price crossing the 200‑SMA as a major signal. Again, each SMA can be shown or hidden and coloured independently. 3. Volume‑Weighted Average Price (VWAP) What it is: VWAP is the average price of the instrument weighted by the amount of volume traded at each price. In other words, it tells you the price level where the bulk of the day’s (or chosen period’s) trading activity occurred. Why it matters: Institutional traders often aim to buy below VWAP and sell above it. It acts as a dynamic support/resistance line that adapts to both price and volume. On intraday charts it gives a clearer picture of “fair value” than a plain moving average. Extra VWAP options in this script Option What it does for you Anchor period (Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits) Instead of resetting every trading day, the VWAP can be anchored to a longer window (e.g., weekly VWAP) or to specific corporate events. This lets you see a longer‑term volume‑weighted price reference. Hide on daily‑or‑higher timeframes If you’re looking at a daily, weekly, or monthly chart, you can automatically hide the VWAP to keep the view clean. Offset Shifts the VWAP line left or right on the chart, useful for visual alignment with other studies. 4. VWAP “Bands” Think of these as dynamic envelopes around the VWAP, similar to Bollinger Bands but based on the VWAP’s volatility. Band #1 (default multiplier 1) – a thin envelope close to the VWAP. Band #2 (multiplier 2) – a wider envelope, optional. Band #3 (multiplier 3) – the widest envelope, also optional. How the bands are calculated You can choose between two methods: Standard Deviation – the band distance equals a multiple of the VWAP’s standard deviation (a measure of how spread out prices are). Percentage – the band distance is a percentage of the VWAP itself (e.g., 1 % above/below). Why you might use them Support / resistance zones: Prices bouncing between the bands can indicate range‑bound trading. Volatility cues: Wider bands mean higher volatility; tighter bands suggest a calmer market. Entry / exit filters: Some traders only take trades when price breaks above the upper band (bullish) or below the lower band (bearish). Each band can be turned on/off, and the fill between the upper and lower lines is shaded lightly so you can see the zone at a glance. 5. User Controls (the “inputs” you see in the settings pane) Control What you can change Show / Hide toggles (for each EMA, SMA, and each band) Instantly decide which lines you want on the chart without editing the script. Lengths (e.g., 9, 20, 50, 200) Adapt the moving‑average windows to suit your trading style or the asset’s typical volatility. Colors Pick colors that fit your chart theme or help you differentiate the lines quickly. VWAP anchor selection Switch between daily VWAP, weekly VWAP, monthly VWAP, or event‑based VWAP with a single dropdown. Band multipliers Change how far the bands sit from the VWAP (e.g., 1×, 2×, 3×). Calculation mode (Standard Deviation vs. Percentage) Choose the method that matches how you interpret volatility. Offset Nudge any plotted line left/right for visual alignment.
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Skippy-trading tarafından
Adaptive Entropy Trend [QuantAlgo]🟢 Overview Adaptive Entropy Trend is a trend-following indicator built on Shannon information theory rather than conventional price averaging. It quantifies the statistical disorder of recent log returns to determine whether the market is in a directional regime or a random one, then feeds this entropy reading into every layer of the system simultaneously, helping traders identify directional shifts that are validated by both low-entropy momentum conditions and genuine volatility expansion across different timeframes and markets. 🟢 How It Works The foundation of the indicator is a per-bar entropy calculation built from the distribution of log returns over the lookback window. Log returns are computed and their range is divided into equal-width histogram bins: logReturn = math.log(close / close ) minReturn = ta.lowest(logReturn, lookbackLen) maxReturn = ta.highest(logReturn, lookbackLen) returnRange = maxReturn - minReturn Each historical return within the lookback is assigned to a bin, building a frequency distribution. Shannon entropy is then calculated from the probability of each bin, measuring how uniformly returns are spread across the range: probability = array.get(binCounts, i) / lookbackLen if probability > 0 entropy := entropy - probability * math.log(probability) / math.log(2) A uniform distribution produces maximum entropy, reflecting a chaotic, non-directional market. A concentrated distribution produces low entropy, reflecting a market where returns are clustering in a consistent direction. The raw entropy is normalized against the theoretical maximum for the bin count to produce a stable 0-1 score: normalizedEntropy = maxEntropy > 0 ? entropy / maxEntropy : 0.5 This score is then wired directly into the EMA smoothing factor. Higher entropy lengthens the effective period of the EMA, insulating it from noise. Lower entropy shortens it, allowing the EMA to track price closely during genuine trends: adaptiveAlpha = 2.0 / (lookbackLen * (0.3 + normalizedEntropy * 1.4) + 1.0) adaptiveEma := na(adaptiveEma) ? close : adaptiveEma + adaptiveAlpha * (close - adaptiveEma) The same entropy reading drives band width through an inverted trend strength factor. Unlike volatility-based bands that widen during noise, these bands widen specifically during trending conditions and tighten during choppy ones: trendStrength = 1.0 - normalizedEntropy fastBandWidth = atr * fastMultiplier * (0.5 + trendStrength) slowBandWidth = atr * slowMultiplier * (0.5 + trendStrength) Finally, trend state is determined when price breaks beyond the inner bands, and transitions are tracked for alert conditions: if close > innerUpper trendDirection := 1 else if close < innerLower trendDirection := -1 trendTurnedBullish = trendDirection == 1 and trendDirection != 1 trendTurnedBearish = trendDirection == -1 and trendDirection != -1 This creates a self-regulating trend system where the EMA baseline, the trigger threshold, and the visual envelope all adapt together from the same entropy source, rather than using a fixed center with adaptive edges or vice versa. 🟢 Signal Interpretation ▶ Bullish Trend (Price Above Inner Upper Band, Green): When price closes above the inner upper band, the indicator switches to bullish mode with bullish coloring across all visual elements = Confirmed uptrend signal for trend-following long positions. Because the inner band expands in low-entropy trending conditions, a bullish confirmation in a genuinely directional market requires a more meaningful breakout than in a noisy one. The trend remains bullish until price breaks below the inner lower band, allowing traders to stay positioned through normal pullbacks that remain within the band range. ▶ Bearish Trend (Price Below Inner Lower Band, Red): When price closes below the inner lower band, the indicator switches to bearish mode with bearish coloring throughout all visual elements = Confirmed downtrend signal for short positions or long exit signals. The adaptive band floor ensures the trigger threshold in choppy, high-entropy markets is tighter, reducing the risk of false breakdowns on thin directional moves. The trend remains bearish until price breaks above the inner upper band. ▶ Neutral Zone (Price Between Inner Bands): When price trades between the inner upper and lower bands, the indicator holds its previous trend direction = Continuation of existing trend during consolidation or normal volatility retracements. This prevents whipsaws during sideways action by requiring price to make a statistically meaningful move beyond the entropy-scaled band boundaries rather than reacting to minor crosses of the adaptive EMA centerline. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced trend detection for swing trading on 4-hour and daily charts, "Fast Response" delivers quicker trend signals for intraday trading on 1-minute to 1-hour charts, and "Smooth Trend" focuses on major trend changes for position trading on daily to weekly timeframes. ▶ Built-in Alerts: Three alert conditions enable automated monitoring of trend changes without constant chart watching. "Bullish Trend Signal" triggers when the indicator switches to bullish mode after price breaks above the inner upper band, alerting for potential long entries. "Bearish Trend Signal" activates when the indicator switches to bearish mode after price breaks below the inner lower band, signaling potential short entries or long exits. "Trend Direction Changed" provides a combined alert for any trend transition regardless of direction, allowing traders to monitor both bullish and bearish opportunities with a single alert setup. ▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and aesthetic preferences, with coordinated bullish, bearish, and neutral color schemes applied across all indicator elements. Inner and outer band fills create a two-layer gradient envelope around the adaptive EMA, with the inner zone between the two bands rendered slightly more transparent than the outer zone to preserve natural depth, both controlled by a single fill transparency input (0-100%) so the visual weight of the envelope can be adjusted without disrupting the gradient relationship. Optional bar coloring tints price bars with trend-appropriate colors during bullish and bearish periods, enabling instant visual confirmation of trend state across multiple timeframes without switching between chart and indicator panels.
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QuantAlgo tarafından
2
Supply and Demand Zone Indicator (5m)Core Concept (Simple explanation) Supply and demand zones are created when: Price moves away aggressively from an area This means large institutions entered there Two main zones: Demand zone = price exploded upward from a base → future buy area Supply zone = price exploded downward from a base → future sell area Institutional footprint pattern Demand zone pattern: Drop → Base → Rally (DBR) Supply zone pattern: Rally → Base → Drop (RBD) Base = small candles Move = large candles Entry model (5-minute timeframe) Buy entry conditions: Price returns to demand zone Bullish confirmation candle appears Optional: break of micro structure Sell entry conditions: Price returns to supply zone Bearish confirmation candle appears Optional: break of micro structure Indicator Features we will build This indicator will: • Automatically detect supply zones • Automatically detect demand zones • Draw rectangles on chart • Alert when price enters zone • Show entry signals
Pine Script® göstergesi
colemanjb2005 tarafından
Long Short MA %Band Breakout with Fixed StopStrategie with different Moving Averages and a Bandwidth +/- arround it . Works well on daily charts for swingtrades. Profitable underlyings are Main Crypto like BTC, ETH or Solana as well Nasdaq or S+P 500. There are Parameter to choose for: The Type of MA: SMA, EMA, TEMA, ALMA, HMA The Bandwith: % differenz to the upper and lower border Entry: Long only, short only + long and short Fixed stop loss (if not needed set it to 90%) in % Start date, end date Slippage + provision etc. The idea is to try differnt setting on your preferred underliying. For example for BTC/usd: TMA 260 +2/-4%, Stopp 30%, long only, start 2018 Don't optimze too much on the past ! Let me know your comments or suggestions. FWO
Pine Script® stratejisi
wolf_glovebox tarafından
Trinitrotoluene BTC [ Jo-Pippin ]Trinitrotoluene BTC – Ultimate Market Terminal Trinitrotoluene BTC is a powerhouse dashboard that consolidates every critical mathematical level a trader needs into one unified table. It allows you to analyze in seconds how far the price is from Volume Weighted Averages (VWAP), historical peaks (ATH), and psychological round numbers. 💎 Key Features Advanced VWAP Suite: Monitor Weekly, Monthly, Quarterly, Yearly, and even custom Bitcoin Halving anchored VWAP levels in real-time. ATH Insights: Track exactly how many days have passed since the All-Time High and the percentage distance from the peak. Psychological Levels: Automatically calculates the distance to the nearest upper and lower "Round Number" milestones. Dynamic Pivots & Fibs: Plots high/low pivot lines from a custom starting date and calculates internal Fibonacci levels (0.5, 0.618, 0.382) within that range. Technical Health Check: View Daily RSI and the distance from major moving averages (like the 200 EMA/SMA) for up to 12 symbols simultaneously. 💡 Trading Insights Cycle Support: The Halving VWAP is a legendary macro level for BTC. Use the dashboard to see how the current price respects this long-term anchor. Confluence Hunting: Look for symbols where multiple metrics (e.g., Weekly VWAP + Monday Low + Round Number) align in the same percentage area. Smart Sorting: Sort the table by "Distance to ATH" or "RSI" to find the most oversold or overextended assets in your watchlist. Note: This indicator was developed by our dear friend Jo-Pippin.
Pine Script® göstergesi
sinanbinay tarafından
Trend flow X StrategyTrend Flow X Strategy Trend Flow X Strategy is a rule-based trend identification and trading system built using a composite scoring model derived from multiple technical indicators. The strategy evaluates overall market direction by combining trend, momentum, and strength components into a single unified score. The system uses a fixed master timeframe of 15 minutes, which is the recommended timeframe for optimal signal consistency, particularly on NIFTY MID SELECT. The strategy is also compatible with other indices, stocks, futures, forex, and crypto instruments. How It Works The strategy calculates a directional score using the following technical components: • EMA 20 and EMA 50 for short and medium trend direction • SMA 20 and SMA 50 for additional trend confirmation • RSI for momentum strength evaluation • MACD for trend continuation and reversal confirmation • ADX with DI+ and DI- for directional strength validation • Williams %R for momentum positioning within recent price range Each component contributes positively or negatively to the overall score. The combined score determines the directional bias. Score Interpretation • Score greater than zero indicates bullish conditions • Score less than zero indicates bearish conditions • Score equal to zero indicates neutral conditions Trade Execution The strategy executes trades only after confirmed candle close to ensure signal stability. This helps avoid intra-bar fluctuations and maintains consistent backtesting and live behavior. Recommended Usage Primary recommended instrument: NIFTY MID SELECT Recommended timeframe: 15 minutes Compatible with: • NIFTY • BANKNIFTY • FINNIFTY • Stocks • Futures • Forex • Crypto Key Features • Open-source and fully transparent logic • Uses confirmed bar data only • No repaint behavior • No future data access • Multi-indicator composite scoring system • Suitable for systematic trading and research • Compatible with multiple markets Execution Model Orders are processed using confirmed bar close values. Commission and slippage parameters are included to simulate more realistic execution conditions. Important Information This script is provided for educational and research purposes only. Users should evaluate and test the strategy according to their own requirements before using it in live trading environments. Open-Source License This script is published as open-source to support transparency, learning, and further development by the TradingView community.
Pine Script® stratejisi
algovisionx2 tarafından
Dave's Customizable SMA Suite (Simple Moving Averages, Arete)Vibe coded with the help of Google Gemini 3... haha. It's my solution to have everything I need for SMAs in one indicator. It comes set to Arete Trading's prefered SMAs of 12, 22, and 55, and then has the 100 and 200 as well. You can turn any off and any time. You can also set your own for all 5 SMAs. ALSO, you can change the time frame to be different than the chart so that you can see the daily SMAs on the 30 minutes chart, for example. I hope you guys like it!
Pine Script® göstergesi
dwestw01 tarafından
Custom EMA SMA Ribbon Indicator name and purpose Custom EMA SMA Ribbon is a six-layer moving average ribbon built to show trend alignment, momentum structure, and signal readiness in a single glance. Rather than relying on one crossover, it renders a stacked relationship between fast, medium, and slow averages so the trend context is visible without extra indicators. The purpose is to make trend direction, trend stability, and momentum alignment readable at a glance, while also providing filtered entry signals and a visual status matrix that summarizes the current bias against each moving average. Long set up Short set up Mixed scenario What it does Each moving average layer is colored based on whether it is above or below the next slower layer. When the ribbon is stacked with fast lines above slow lines, the structure is bullish. When fast lines fall below the slower lines, the structure is bearish. This layered coloring reveals whether the trend is cleanly aligned or mixed. The script also highlights full alignment, where all fast layers sit above or below the slowest line, which is usually the most stable trend condition. In addition to the visual ribbon, it generates trend-filtered signals: a bullish signal appears only when the slow ribbon is aligned bullish and MA1 crosses above MA2, while a bearish signal appears only when the slow ribbon is aligned bearish and MA1 crosses below MA2. A signal status matrix in the chart corner shows whether price is above or below each moving average, giving a compact snapshot of current bias without scanning every line. How it works in detail The indicator calculates six moving averages from a single price source. You can use EMA for a more responsive ribbon or SMA for a smoother ribbon that reduces noise. Each line’s color is determined by its position relative to the next slower line, building a visible map of internal trend health. The slowest line acts as the anchor. If all faster lines remain above it, the ribbon is fully bullish. If all faster lines remain below it, the ribbon is fully bearish. The trend-filtered signals add a momentum layer: they require a clean macro stack first, then confirm entry with the fast crossover of MA1 and MA2. Signals are plotted as tiny circles, so they do not clutter the chart. Bullish signals plot at the bottom in green, bearish signals plot at the top in red. Optional background shading emphasizes the full alignment zones, and all signal states can be confirmed on bar close with the non-repainting toggle. The signal status matrix is updated on the last bar and labels each MA as LONG or SHORT depending on whether the current close is above or below that line, allowing quick context checks during live monitoring. Default settings The default lengths 10, 20, 50, 100, 150, and 200 create a balanced mix of short-term, mid-term, and long-term context. The 10 and 20 lengths capture fast swings and early shifts. The 50 and 100 lengths reflect the core trend structure. The 150 and 200 lengths anchor the ribbon to the broader market bias. This combination makes it easy to see if short-term momentum is moving with the larger trend or if it is fighting it. EMA is selected by default to keep the ribbon responsive enough for intraday and swing traders, but you can switch to SMA for smoother, slower trend mapping. With the default configuration, the signal logic is naturally conservative because the faster cross must occur only after MA3, MA4, MA5, and MA6 are stacked in the same direction, filtering many counter-trend crosses. The matrix defaults to the bottom right so it stays visible without covering price action, but you can move it to any corner or center position. How to use it on charts Use the ribbon as a trend filter first. When most lines are green and stacked in order, the trend is bullish and pullbacks can be treated as potential continuation zones. When most lines are red and stacked downward, rallies can be treated as corrective unless the stack flips. The strongest trend environments occur when the ribbon is fully aligned above or below the slowest line. If the ribbon becomes mixed with alternating colors, that signals transition or consolidation and signals should be treated more cautiously. In those mixed states, ignore the MA1/MA2 crosses because the macro alignment filter will not allow signals, which is intentional to reduce noise. The matrix helps confirm whether price is holding above multiple layers during a bullish trend or below multiple layers during a bearish trend, which can support trade management decisions like scaling in or tightening stops. Signal logic explained Bullish signal requirements: MA3 above MA4, MA4 above MA5, and MA5 above MA6 must all be true, confirming a clean bullish macro stack. Once that macro alignment exists, a bullish signal is generated when MA1 crosses above MA2. This is the earliest momentum entry that still respects the larger trend. Bearish signal requirements: MA3 below MA4, MA4 below MA5, and MA5 below MA6 must all be true. Once that macro alignment exists, a bearish signal is generated when MA1 crosses below MA2. This ensures the momentum entry is taken only in the direction of the larger ribbon stack. Signals appear as tiny circles to keep the chart clean: white at the bottom for bullish signals, black at the top for bearish signals. The matrix adds a second layer of confirmation by showing whether the close remains above each MA during a bullish signal or below each MA during a bearish signal. Practical usage examples Trend continuation example: price rises, the ribbon is fully bullish, and fast lines stay above the slowest line during pullbacks. When MA1 crosses back above MA2 after a shallow pullback, the green circle appears at the bottom, indicating a momentum continuation aligned with the macro structure. If the matrix also shows LONG across most rows, it confirms that price remains above the key layers. Trend reversal example: the ribbon compresses, fast lines cross down, and the full alignment flips bearish after several mixed states. Once MA3 to MA6 are stacked bearish, the red top circle appears when MA1 crosses below MA2, signaling the first momentum entry in the new trend direction. If the matrix shifts to SHORT across multiple rows, it confirms the shift in control. All Long signals on matrix Mixed signals on matrix How the components work together The layered coloring shows immediate, mid, and macro alignment in one view. The full alignment state acts as a high confidence filter for trend bias. Optional background shading gives a quick visual signal of those high confidence zones. The trend-filtered MA1/MA2 cross signals provide a concise momentum trigger that only fires when the broader ribbon is aligned. The signal status matrix summarizes price position versus each MA, helping traders quickly gauge whether momentum entries are supported by broader structure. Together these components provide a complete trend map, entry framework, and state dashboard without overloading the chart. What makes this script original This ribbon is not a simple fast slow crossover. Each layer is colored relative to its adjacent layer, which exposes the internal order of the ribbon and the health of the trend rather than only the outer edges. The macro alignment filter combined with a fast crossover creates a structured momentum signal that is stricter than most ribbons, helping avoid counter trend entries. The added status matrix provides a compact decision aid that shows whether price is above or below each layer in real time, which most ribbons do not include. The non-repainting toggle ensures the behavior is consistent between historical and live data. The indicator focuses on structural clarity and disciplined signals rather than generic crossover spam. Markets, timeframes, and trading styles This indicator is suitable for any liquid market including Forex, Crypto, Stocks, Commodities, and Indices. For scalping on 1m to 5m charts, keep lengths shorter or use EMA to maintain responsiveness, and focus on quick momentum continuation after macro alignment while using the matrix to confirm price remains above the faster layers. For day trading on 5m to 1H charts, the default lengths provide a balanced view of trend and pullback structure. For swing trading on 1H to daily charts, the default lengths remain effective and reduce noise. For position trading or investing on weekly charts, consider increasing all lengths proportionally to match the longer holding horizon and only take signals that align with the macro stack and matrix bias. Settings guidance Shorter lengths create faster signals but more noise; longer lengths create smoother signals but more lag. EMA reacts faster and suits active styles, while SMA smooths the ribbon for broader trend interpretation. Line styles and thickness controls let you emphasize the layers you care about most. Background shading is best kept subtle to preserve chart readability and should be used primarily to highlight full alignment states. Signal markers can be toggled off if you want a purely visual ribbon without entries. The matrix position can be moved to any corner or center area of the chart to avoid overlapping price action or other annotations. Alerts The script includes alerts for full bullish alignment, full bearish alignment, fast crosses between MA1 and MA2, and the trend-filtered bullish and bearish cross signals. All alerts respect the non-repainting toggle, so they fire on confirmed bars only when that option is enabled. Messages include symbol, timeframe, and price placeholders for automation or logging. Non-repainting behavior When non-repainting mode is enabled, all signal conditions and background states are confirmed on closed bars. This avoids signals appearing and disappearing mid bar and ensures live behavior mirrors historical behavior. Disabling the toggle makes the ribbon update in real time but signals should be treated as provisional until the bar closes. Disclaimer This indicator is a technical analysis tool and does not constitute financial advice. Always test settings on your chosen market and timeframe, use risk management, and confirm signals with additional context. No indicator is perfect; use this ribbon as one component of a broader trading plan.
Pine Script® göstergesi
TheScalpingAnt tarafından
Adaptive Finite Volume Elements [UAlgo]Adaptive Finite Volume Elements (AFVE) is an enhanced, volatility-adaptive interpretation of the classic Finite Volume Elements concept. The indicator transforms raw volume into a directional volume-flow oscillator by evaluating whether each bar’s “money flow impulse” is meaningful enough to be considered bullish, bearish, or noise. Instead of using a fixed percentage threshold, AFVE uses an ATR-based cutoff that expands and contracts with market volatility. This allows the signal to remain responsive in slow conditions while avoiding excessive whipsaws during high-volatility phases. AFVE is designed as a practical workflow tool rather than a purely academic oscillator. It provides three layers of information in one pane: 1) A smoothed, normalized AFVE line that represents net volume flow as a percentage. 2) A signal line used for reversal detection in extreme zones. 3) A divergence engine that scans recent pivots and highlights classical bullish and bearish divergences between price and AFVE. The script also implements a lightweight “engine” architecture using Pine v6 types and methods. This keeps the logic modular, improves readability, and enables controlled memory management for pivot history. 🔹 Features 1) Volatility Adaptive Cutoff (ATR-Based Noise Filter) AFVE replaces fixed thresholds with a dynamic cutoff derived from ATR. This means the indicator automatically adapts to changing volatility regimes. In calm markets, smaller impulses can still be recognized as meaningful. In fast markets, minor fluctuations are filtered out as noise, reducing false volume-flow flips. 2) Directional Volume Flow Classification Each bar is classified into one of three states based on the money flow impulse versus the adaptive cutoff: - Bullish flow: full positive volume is counted. - Bearish flow: full negative volume is counted. - Neutral flow: volume is ignored if the impulse is inside the cutoff band. This produces a cleaner oscillator that focuses on decisive participation rather than constant micro-changes. 3) Normalized Oscillator Output AFVE is normalized by total volume over the lookback period, then scaled to a percentage. This keeps the output comparable across symbols and timeframes, since it expresses net flow relative to total activity. 4) Optional Smoothing A selectable EMA smoothing stage is provided. Smoothing reduces jitter and makes trend and reversal structures clearer, while still preserving responsiveness when set to low values. 5) Signal Line Reversal Logic in Extreme Zones A simple moving average of AFVE is used as a signal line. Reversal markers are produced only when crosses occur in statistically meaningful regions: - Bullish reversal: AFVE crosses above the signal line while the signal line is below the negative threshold (oversold regime). - Bearish reversal: AFVE crosses below the signal line while the signal line is above the positive threshold (overbought regime). This design reduces “mid-range” crosses that tend to be less actionable. 6) Divergence Detection Using Pivot Memory The script maintains small rolling arrays of recent pivot highs and pivot lows in AFVE (up to 5 each). When a new pivot is confirmed: - Bearish divergence is flagged if price makes a higher high while AFVE makes a lower high. - Bullish divergence is flagged if price makes a lower low while AFVE makes a higher low. The script draws both the oscillator divergence line and the corresponding dashed price line on the main chart (force overlay), allowing fast visual confirmation. 7) Dynamic Coloring and Gradient Fill AFVE is colored based on both sign and momentum: - Above zero and rising: strong bullish color. - Above zero but weakening: faded bullish color. - Below zero and falling: strong bearish color. - Below zero but weakening: faded bearish color. A split fill system paints positive and negative regions separately for clear regime identification. 🔹 Calculations 1) Typical Price and Money Flow Impulse AFVE starts from typical price and a money-flow style impulse that reacts to both bar structure and short-term change in typical price: float tp = hlc3 float mf = close - (high + low) / 2 + tp - tp Interpretation: - close - (high + low) / 2 measures where the close sits relative to the bar’s midpoint. - tp - tp adds a short-term directional component based on typical price change. - Combined, mf becomes a compact impulse term that helps decide whether volume should be counted as bullish, bearish, or ignored. 2) Adaptive Cutoff Using ATR Instead of using a fixed cutoff, AFVE scales the cutoff by ATR for the selected period: float volatility = ta.atr(period) float cutoff = volatility * cutoff_factor Interpretation: - Higher volatility increases the cutoff, requiring stronger impulses to classify volume as directional. - Lower volatility reduces the cutoff, allowing smaller but meaningful impulses to be recognized. 3) Volume Flow Decision (Directional or Neutral) Volume is converted into a signed flow value using the impulse versus cutoff comparison: float v_flow = 0.0 if mf > cutoff v_flow := volume else if mf < -cutoff v_flow := -volume else v_flow := 0.0 Interpretation: - If mf exceeds +cutoff, the bar’s volume is treated as bullish participation. - If mf is below -cutoff, volume is treated as bearish participation. - Otherwise, volume is ignored to reduce noise in choppy conditions. 4) Summation, Normalization, and Scaling AFVE is calculated as net directional flow relative to total volume over the lookback: float fve_raw = math.sum(v_flow, period) / math.sum(volume, period) * 100 Interpretation: - math.sum(v_flow, period) represents net signed participation. - math.sum(volume, period) represents total activity. - The ratio produces a bounded percentage-style oscillator. 5) Optional EMA Smoothing A smoothing stage is applied if smoothness is greater than 1: float fve_final = smooth > 1 ? ta.ema(fve_raw, smooth) : fve_raw Interpretation: - Low smoothing values keep AFVE responsive. - Higher smoothing values produce cleaner swings and clearer divergence structures. 6) Signal Line and Extreme-Zone Reversal Conditions A simple moving average is used as the signal line, and reversal triggers require both a cross and an extreme regime: float signal_line = ta.sma(fve_value, i_sig_len) bool is_oversold = signal_line < -i_rev_trsh bool is_overbought = signal_line > i_rev_trsh bool bull_rev = ta.crossover(fve_value, signal_line) and is_oversold bool bear_rev = ta.crossunder(fve_value, signal_line) and is_overbought Interpretation: - The threshold defines when the market is treated as stretched. - Crosses are only considered “reversal-grade” when they occur in these zones. 7) Pivot Detection and Divergence Logic AFVE pivots are detected using a fast pivot rule (left 2, right 1). When a pivot is confirmed, the script stores it in memory and compares it to the prior pivot: Pivot High and bearish divergence: float ph = ta.pivothigh(current_fve, 2, 1) if not na(ph) Pivot p = Pivot.new(current_fve , high , bar_index ) high_pivots.unshift(p) if high_pivots.size() > 5 high_pivots.pop() if high_pivots.size() >= 2 Pivot p0 = high_pivots.get(0) Pivot p1 = high_pivots.get(1) if p0.price > p1.price and p0.val < p1.val // Bearish Divergence Interpretation: - Price higher high (p0.price > p1.price) combined with AFVE lower high (p0.val < p1.val) flags bearish divergence. Pivot Low and bullish divergence: float pl = ta.pivotlow(current_fve, 2, 1) if not na(pl) Pivot p = Pivot.new(current_fve , low , bar_index ) low_pivots.unshift(p) if low_pivots.size() > 5 low_pivots.pop() if low_pivots.size() >= 2 Pivot p0 = low_pivots.get(0) Pivot p1 = low_pivots.get(1) if p0.price < p1.price and p0.val > p1.val // Bullish Divergence Interpretation: - Price lower low (p0.price < p1.price) combined with AFVE higher low (p0.val > p1.val) flags bullish divergence. 8) Dynamic Coloring Logic The AFVE line color reflects both direction (above/below zero) and momentum (rising/falling vs previous value): val > 0 ? (val > val ? bull : color.new(bull, 40)) : (val < val ? bear : color.new(bear, 40)) Interpretation: - Strong color indicates acceleration in the prevailing direction. - Faded color indicates weakening momentum, often useful for reading transitions and potential divergence setups.
Pine Script® göstergesi
UAlgo tarafından