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动量指标(MOM)

SMC Rebalance to Equilibrium + ATR/ADX (Release)Markets spend more time rebalancing than trending. After an impulsive move, price naturally seeks fair value (equilibrium / mean / VWAP / 50%) where buyers and sellers agree again. This makes rebalance trades higher win-rate and lower risk compared to continuation or breakout strategies. Examples from real market behaviour: - Gold futures (GC) rebalance very frequently because gold is heavily mean-reverted by institutions and hedgers. Roughly 60–70% of intraday moves show some form of rebalance. - Nasdaq (NQ) is momentum-dominant, but even then 45–55% of intraday extensions rebalance, especially outside NY Open. - FCPO is strongly controlled and rotational, with 70–80% of moves showing rebalance behaviour, especially outside aggressive news flows. What each candle label means in this indicator This indicator labels ATR state per candle to read market intent: E (Expansion) - Volatility increasing. Aggressive participation. Used to drive price, not to rebalance. S (Strong) - Sustained momentum. Trend still active. D (Decreasing) - Volatility contracting. Acceptance forming. This is the core condition for rebalance. W (Weak) represents very low momentum and temporary hesitation. W means the market is unsure. Indicator features explained This indicator is designed to be simple, objective, and rule-based: Candle labels show real-time ATR state (E / S / D / W) Strong rebalance condition is highlighted when D-D-D forms Filters avoid signals during ADX expansion Designed specifically for SMC rebalance to equilibrium, not continuation Alerts trigger only when valid rebalance conditions appear, helping traders avoid over-trading and impulsive entries Why D-D-D is very important? Three consecutive D candles (D-D-D) mean: - Volatility has contracted for multiple closes - Chasers are gone - Order flow is absorbed - Market accepts current price as unfair This is the strongest condition for price to return to equilibrium and sometimes continue further to MRH / MRL instead of stopping at 50%. Important: One or two D candles are not enough. D-D-D confirms acceptance, not just a pause Why NOT to trade rebalance when ADX is expanding ADX expansion means trend strength is increasing. When ADX is expanding: - Decreasing ATR often means reload, not reversal - Price is being delivered, not balanced - Rebalance attempts usually fail This indicator filters out rebalance signals when ADX shows expansion because trend strength overrides balance logic. Why price can rebalance without taking liquidity A liquidity sweep is not required for rebalance. Rebalance happens because acceptance changes, not because stops are hunted. Price returns to equilibrium when: - Momentum fades - Volatility contracts - Participation drops - Passive orders dominate Liquidity sweeps only make the move faster, not necessary. This is why rebalances commonly happen in Asian session, late US session, and mid-range conditions without any obvious stop-run. Best time to trade rebalance (US & Malaysia time) Rebalance works best when liquidity is stable or decaying, not expanding. Best for Gold (GC) - US Late Session: 11:30 pm – 2:00 am MYT - Asian Morning: 7:00 am – 11:00 am MYT Best for Nasdaq (NQ) - US Late Session only: 11:30 pm – 1:30 am MYT Avoid for all markets - NY Open impulse: 8:30 pm – 10:30 pm MYT This is delivery time, not balance time. Core idea to remember Rebalance trading is not about predicting reversals. It is about waiting for acceptance. Liquidity makes moves fast. Acceptance makes moves possible. This indicator exists to help you trade what markets do most of the time — rebalance back to fair value — with discipline and structure
Pine Script®指标
由inzuddin提供
Supertrend Nova Cloud [Pineify]Supertrend Nova Cloud Overview The Supertrend Nova Cloud is a sophisticated trend-following system designed to filter market noise and provide clear, actionable insights into market direction and volatility. By combining two distinct Supertrend calculations—the fast-acting "Nova" and the slower, more robust "Nebula"—this indicator creates a dynamic "Cloud" that visualizes the strength and stability of the current trend. It is engineered to help traders identify strong trending periods, potential pullbacks, and major reversals with greater confidence than a single Supertrend indicator. Key Features Dual-Trend Architecture: Utilizes a two-layer approach with a Fast (Nova) and Slow (Nebula) Supertrend to define market structure. Dynamic Nova Cloud: A visual gradient fill between the two trendlines that adjusts its intensity ("Glow") based on the spread between the trends, representing market volatility. Smart Candle Coloring: Candles are colored based on the consensus between the two trends, clearly distinguishing between strong trends, pullbacks, and recovery phases. High-Quality Signals: Buy and Sell signals are filtered and only generated when the major (Slow) trend reverses, reducing false signals during chop. Real-time Dashboard: An on-chart dashboard displays the current state of both the Nova and Nebula trends for instant analysis. How It Works The Supertrend Nova Cloud operates on the principles of Average True Range (ATR) volatility to determine trend direction. Nova (Fast Trend): Calculated using a shorter ATR length (default 10) and a lower multiplier (default 2.0). This line reacts quickly to price changes, serving as an early warning system or trailing stop for aggressive entries. Nebula (Slow Trend): Calculated using a longer ATR length (default 20) and a higher multiplier (default 4.0). This line defines the overall market bias and acts as significant support/resistance. Cloud Gradient Logic: The script calculates the absolute difference (delta) between the Nova and Nebula lines. It compares this delta to its recent historical maximum to determine the opacity of the fill color. A wider spread (higher volatility) results in a brighter, more opaque cloud, while a narrow spread (consolidation) results in a more transparent cloud. How multiple indicators work together In trading, a single trend indicator often faces a dilemma: if it's too fast, it gives false signals; if it's too slow, it lags significantly. The Supertrend Nova Cloud solves this by combining both: The Fast Supertrend captures immediate momentum and provides potential re-entry points during strong trends. The Slow Supertrend acts as a filter. The script logic enforces that major reversal signals ("NOVA BUY/SELL") are only triggered when this slower, dominant trend changes direction. By requiring the Slow trend to confirm the reversal, the indicator filters out the "noise" that would typically whip-saw a standard Supertrend. Trading Ideas and Insights Trend Riding: When the Cloud is fully Green (Strong Bull) or Red (Strong Bear), and the candles match this color, the trend is established. These are ideal conditions for holding positions. Pullback Opportunities: If the candles turn a lighter shade (e.g., light red during an uptrend), it indicates the price has broken the Fast trend but holds above the Slow trend. This "Mixed" state often represents a buying opportunity in an uptrend (or selling in a downtrend). Volatility Expansion: A widening cloud (brighter glow) indicates expanding volatility and often accompanies a strong breakout or trend acceleration. Unique Aspects Visual Volatility Feedback: Unlike standard fills, the "Nova Cloud" uses a custom algorithm to adjust transparency based on the relative distance between the two trendlines. This gives traders an intuitive sense of market expansion and contraction. Nuanced State Detection: The script doesn't just show Up or Down. It identifies four states: Strong Bull, Strong Bear, Fast Bull/Slow Bear (Recovery), and Fast Bear/Slow Bull (Pullback), coding the candles accordingly. How to Use Entry: Look for "NOVA BUY" or "NOVA SELL" labels. These appear when the major trend (Nebula) flips, confirming a significant shift in market structure. Stop Loss: The Nebula (thick) line serves as a robust trailing stop loss. As long as price holds beyond this line, the macro trend remains intact. Re-Entry/Pyramiding: During a strong trend, if price dips into the cloud (changing candle color to mixed/neutral) and then resumes the trend color, it can be a valid re-entry signal. Customization Users can fully customize the indicator via the settings menu: Nova & Nebula Settings: Adjust the ATR Length and Factor for both the Fast and Slow trends to tune sensitivity for different timeframes or assets. Visuals: Toggle the Dashboard, Candle Coloring, and customize the colors for Bullish, Bearish, and Neutral states. Conclusion The Supertrend Nova Cloud offers a comprehensive visual interface for trend traders. By harmonizing two time horizons of volatility analysis into a single, cohesive display, it simplifies decision-making and helps traders stay on the right side of the major trend while identifying granular opportunities within it.
Pine Script®指标
由Pineify提供
4
Scalp Precision Matrix [BullByte]SCALP PRECISION MATRIX (SPM) OVERVIEW Scalp Precision Matrix (SPM) is a comprehensive decision-support framework designed specifically for scalpers and short-term traders. This indicator synthesizes five distinct analytical layers into a unified system that helps identify high-quality setups while avoiding common pitfalls that trap traders. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE CORE PROBLEM THIS INDICATOR ADDRESSES Scalping demands rapid decision-making while simultaneously processing multiple data points. Traders constantly ask themselves: Is momentum still alive? Am I entering near a potential reversal zone? Is this the right session to trade? What is my actual risk-to-reward? Most traders either overwhelm themselves with too many separate indicators (creating analysis paralysis) or use too few (missing crucial context). SPM was developed to consolidate these essential checks into one cohesive framework. Rather than overlaying disconnected indicators, each component in SPM directly informs and adjusts the others, creating an integrated analytical system. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY THESE SPECIFIC COMPONENTS AND HOW THEY WORK TOGETHER The five analytical layers in SPM are not arbitrarily combined. Each addresses a specific question in the scalping decision process, and together they form a logical workflow: LAYER 1: MOMENTUM FUEL GAUGE This answers the question: "Does the current move still have energy?" After any impulse move (a significant directional price movement), momentum naturally decays over time. The Fuel Gauge estimates remaining momentum by analyzing four factors: Body Strength (30% weight): Compares recent candle body sizes against the historical average. Strong momentum produces candles with large bodies relative to their wicks. The calculation takes the 3-bar average body size divided by the 20-bar average body size, then scales it to a 0-100 range. Wick Rejection (25% weight): Measures the wick-to-body ratio. When wicks are large relative to bodies, it suggests rejection and weakening momentum. A ratio of 2.0 or higher (wicks twice the body size) scores low; smaller ratios score higher. Volume Consistency (20% weight): Compares recent 3-bar average volume against the lookback period average. Sustained moves require consistent volume support. Volume dropping off suggests the move may be losing participation. Time Decay (25% weight): Tracks how many bars have passed since the last detected impulse. Momentum naturally fades over time. The typical impulse duration is adjusted based on the current volatility regime. These components are weighted and combined, then smoothed with a 3-period EMA to reduce noise. The result is a 0-100% gauge where: - Above 70% = Strong momentum (green) - 40-70% = Moderate momentum (amber) - Below 40% = Weak momentum (red) - Below 20% = Exhausted (triggers EXIT warning) The Fuel Gauge also estimates how many bars of momentum remain based on the current burn rate. IMPORTANT DISCLAIMER : The Fuel Gauge is NOT order flow, volume profile, or depth of market data. It is a technical proxy calculated entirely from standard OHLCV (Open, High, Low, Close, Volume) data. The term "Fuel" is used metaphorically to represent estimated remaining momentum energy. LAYER 2: TRAP ZONE DETECTION This answers the question: "Am I walking into a potential reversal area?" Price tends to reverse at levels where it has reversed before. SPM identifies these zones by detecting clusters of historical swing points: How it works: 1. The indicator detects swing highs and swing lows using the Swing Detection Length setting (default 5 bars on each side required to confirm a pivot). 2. Recent swing points are stored (up to 10 of each type). 3. For each potential zone, the algorithm counts how many swing points cluster within a tolerance of 0.5 ATR. 4. Zones with 2 or more clustered swing points, positioned between 0.3 and 4.0 ATR from current price, are marked as Trap Zones. 5. A Confluence Score is calculated based on cluster density and proximity to current price. The percentage displayed (e.g., "TRAP 85%") is a CONFLUENCE SCORE, not a probability. Higher percentages mean more swing points cluster at that level and price is closer to it. This indicates stronger historical significance, not a prediction of future reversal. CRITICAL DISCLAIMER : Trap Zones are NOT institutional order flow, liquidity pools, smart money footprints, or any proprietary data feed. They are calculated purely from historical swing point clustering using standard technical analysis. The term "trap" describes how price action has historically reversed at these levels, potentially trapping traders who enter prematurely. This is pattern recognition, not market structure data. LAYER 3: VELOCITY ANALYSIS This answers the question: "Is price moving favorably right now?" Velocity measures how fast price is currently moving compared to its recent average: Calculation: - Current velocity = Absolute price change from previous bar divided by ATR - Average velocity = Simple moving average of velocity over the lookback period - Velocity ratio = Current velocity divided by average velocity Classification: - FAST (ratio above 1.5 ): Price is moving significantly faster than normal. Good for momentum continuation plays. - NORMAL (ratio 0.5 to 1.5) : Typical price movement speed. - SLOW (ratio below 0.5 ): Price is moving sluggishly. Often indicates ranging or choppy conditions where scalping becomes difficult. The velocity score contributes 18% to the overall quality score calculation. LAYER 4: SESSION AWARENESS This answers the question: "Is this a good time to trade?" Different trading sessions have different characteristics. SPM automatically detects which major session is active and adjusts its quality assessment: Session Times (all in UTC): - A sia Session : 00:00 - 08:00 UTC - London Session : 08:00 - 16:00 UTC - New York Session : 13:00 - 21:00 UTC - London/NY Overlap : 13:00 - 16:00 UTC - Off-Peak : Outside major sessions Session Quality Weighting: - Overlap : 100 points (highest liquidity, best movement) - London : 85 points - New York : 80 points - Asia : 50 points (tends to range more) - Off-Peak : 30 points (lower liquidity, more false signals) The session score contributes 17% to the overall quality calculation. Signals are also filtered to prevent firing during off-peak hours. Note : These are fixed UTC times and may not perfectly match your broker's session boundaries. Use them as general guidance rather than precise timing. LAYER 5: VOLATILITY REGIME ADAPTATION This answers the question: "How should I adjust for current market conditions?" SPM compares current volatility (14-period ATR) against historical volatility (50-period ATR) to categorize the market: HIGH Volatility (ratio above 1.3): Current ATR is 30%+ above normal. SPM widens thresholds to filter noise and extends target projections. NORMAL Volatility (ratio 0.7 to 1.3): Typical conditions. Standard parameters apply. LOW Volatility (ratio below 0.7): Current ATR is 30%+ below normal. SPM tightens thresholds for sensitivity and reduces target expectations. The market state may show AVOID during prolonged low volatility. This adaptation prevents false signals during erratic markets and missed signals during quiet markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE SYNERGY: WHY THIS COMBINATION MATTERS These five layers are not independent indicators placed on one chart. They form an interconnected system: - A signal only fires when momentum exists (Fuel above 40%), price is away from danger zones (Trap Zones factored into quality score), movement is favorable (Velocity contributes to score), timing is appropriate (Session is not off-peak), and volatility is accounted for (thresholds adapt to regime). - The Trap Zones directly influence Entry Zone placement. Entry zones are positioned beyond trap zones to avoid getting caught in reversals. - Target projections automatically adjust to avoid placing take-profit levels inside detected trap zones. - The Fuel Gauge affects which signal tier fires. Insufficient fuel prevents all signals. - Session quality is weighted into the overall score, reducing signal quality during less favorable trading hours. This integration is the core originality of SPM. Each component makes the others more useful than they would be in isolation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW THE QUALITY SCORE IS CALCULATED The Quality Score (0-100) synthesizes all layers into a single number for each direction (long and short): For Long Quality Score: - Fuel Component (28% weight) : Full fuel value if impulse direction is bullish; 60% of fuel value otherwise - Trap Avoidance (22% weight) : 75 points if no trap zone below; otherwise 100 minus the trap confluence score (minimum 20) - Velocity Component (18% weight) : Direct velocity score - Session Component (17% weight) : Current session quality score - Trend Alignment (15% bonus) : Adds 12 points if price is above the 20-period SMA For Short Quality Score: - Same structure but reversed (bearish impulse direction, trap zone above, price below SMA) The direction with the higher score becomes the current Bias. A 12-point difference is required to switch bias, preventing flip-flopping in neutral conditions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SIGNAL TYPES AND WHAT THEY MEAN SPM generates four types of signals, each with specific visual representation: PRIME SIGNALS (Cyan Diamond) These represent the highest quality confluence. Requirements: - Quality score crosses above the Prime threshold (default 80) - Bias aligns with signal direction - Fuel is sufficient (above 40%) - Session is active (not off-peak) - Cooldown period has passed Prime signals appear as cyan-colored diamond shapes. Long signals appear below the bar; short signals appear above. STANDARD SIGNALS (Green Triangle Up / Red Triangle Down) These represent good quality setups. Requirements: - Quality score crosses above the Standard threshold (default 75) but below Prime - Same bias, fuel, and cooldown requirements as Prime Standard signals appear as small triangles in green (long) or red (short). CAUTION SIGNALS (Small Faded Circle) These represent minimum threshold setups. Requirements: - Quality score crosses above the Caution threshold (default 65) but below Standard - Same additional requirements Caution signals appear as small, faded circles. These suggest the setup exists but with weaker confluence. Consider these only when broader market context supports them, or skip them entirely during uncertain conditions. EXHAUSTION SIGNAL (Purple X with "EXIT" text) This warning appears when the Fuel Gauge drops below 20% from above, indicating momentum has depleted. This is not a trade signal but a warning to: - Consider exiting existing positions - Avoid entering new trades in the current direction - Wait for new momentum to develop All signals use CONFIRMED bar data only (referencing the previous closed bar) to prevent repainting. Once a signal appears, it will never disappear or change position on historical bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ READING THE CHART ELEMENTS TRAP ZONES (Red Dashed Box with "TRAP XX%" Label) These mark price levels where multiple historical swing points cluster. The red dashed box shows the zone boundaries. The percentage is the confluence score indicating cluster strength and proximity. How to use: When price approaches a trap zone, be cautious about entering in that direction. If your bias is LONG and there's a strong trap zone above, consider taking partial profits before price reaches it or adjusting your target below it. ENTRY ZONES (Green Solid Box with "ENTRY" Label) These show suggested entry areas based on the current bias direction. For LONG bias, the entry zone appears below the trap zone (buying the dip beyond support). For SHORT bias, it appears above the trap zone (selling the rally beyond resistance). How to use: Rather than entering at current price, consider placing limit orders within the entry zone. This positions you beyond where typical trap reversals occur. TARGET ZONES (Blue Dotted Box with "TARGET" Label) These project potential take-profit areas based on ATR multiples, adjusted for: - Current volatility regime (wider in high volatility, tighter in low) - Impulse direction (larger targets when aligned with impulse) - Nearby trap zones (targets adjust to avoid placing TP inside trap zones) How to use: These are suggestions, not guarantees. Consider taking partial profits before the target or using trailing stops once price moves favorably. STOP LEVEL (Orange Dashed Line with "STOP" Label) This shows suggested stop-loss placement, calculated as 0.8 ATR beyond the trap zone (or 2.0 ATR from current price if no trap zone exists). How to use: This provides a reference for risk calculation. The dashboard R:R ratio is calculated using this stop level. Chart Example: Scalp Precision Matrix displays real-time market analysis through dynamic zones and quality scores. ENTRY/TARGET/STOP zones show potential price levels based on current market structure - they appear continuously as reference points, NOT as trade instructions. Actual trade signals (diamonds, triangles, circles) fire only when multiple conditions align: quality score thresholds are crossed, fuel gauge is sufficient, session is active, and cooldown period has passed. The zones help you understand market context; the signals tell you when to act. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE DASHBOARD (Top Right Panel) The main dashboard provides comprehensive market context: Row 1 - Header: - "SPM " : Indicator name - Market State : Current overall condition Market States Explained: - PRIME : Excellent conditions. Quality score meets prime threshold, session is active. Best opportunities. - READY : Good conditions. Quality score meets standard threshold. Solid setups available. - WAIT : Mixed conditions. Some factors favorable, others not. Patience recommended. - AVOID : Poor conditions. Off-peak session or very low volatility. High risk of false signals. - EXIT : Fuel exhausted. Momentum depleted. Consider closing positions or waiting. Row 2-3 - Quality Bars: - " UP ########## " : Visual meter for long quality (each # = 10 points, . = empty) - " DN ########## " : Visual meter for short quality - The number on the right shows the exact quality score Row 4 - Bias: - Shows current directional lean: LONG, SHORT, or NEUTRAL - Color-coded: Green for long, red for short, gray for neutral Rows 5-7 (Full Mode Only) - Trade Levels: - Entry : Suggested entry price for current bias direction - Stop : Suggested stop-loss price - Target : Projected take-profit price Row 8 - Risk:Reward Ratio: - Format : "1:X.X" where X.X is the reward multiple - Color-coded : Green if 2:1 or better, amber if 1.5:1 to 2:1, red if below 1.5:1 Row 9 - Fuel: - Shows percentage and estimated bars remaining in parentheses - Example : "72% (8)" means 72% fuel with approximately 8 bars remaining - Color-coded : Green above 70%, amber 40-70%, red below 40% Row 10-11 (Full Mode Only) - Market Conditions: - Vol : Current volatility regime (HIGH/NORMAL/LOW) - Speed : Current velocity zone (FAST/NORMAL/SLOW) Row 12 - Session: - Shows active trading session - Color-coded by session type Row 13 (Full Mode Only) - Remaining: - Time remaining in current session (hours and minutes) Row 14 (Conditional) - Trap Warning: - Appears when a significant trap zone exists in your bias direction - Shows direction (ABOVE/BELOW) and confluence percentage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE QUICK PANEL (Bottom Left) The Quick Panel provides essential information at a glance without looking away from price action: Row 1: Current Bias and Quality Score (large text for quick reading) Row 2: Market State Row 3: Fuel Percentage Row 4: Estimated Bars Remaining Row 5: Risk:Reward Ratio Row 6: Current Session Both panels can be repositioned using the settings, and each can be toggled on/off independently. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS EXPLAINED CORE SETTINGS: Analysis Lookback (Default: 20) Number of bars used for statistical calculations including average volume and average body size. Higher values create smoother but slower-reacting analysis. Lower values are more responsive but may include more noise. Swing Detection Length (Default: 5) Bars required on each side to confirm a swing high or low. A setting of 5 means a swing high must have 5 lower highs on each side. Lower values detect more swings (more trap zones, more sensitivity). Higher values find only major pivots (fewer but more significant zones). Impulse Sensitivity (Default: 1.5) Multiplier for ATR when detecting impulse moves. Lower values (like 1.0) detect smaller price movements as impulses, refreshing the fuel gauge more frequently. Higher values (like 2.5) require larger moves, making impulse detection less frequent but more significant. SIGNAL SETTINGS: Prime/Standard/Caution Thresholds (Defaults: 80/75/65) These control the quality score required for each signal tier. You can adjust these based on your preference: - More conservative : Raise thresholds (e.g., 85/80/70) for fewer but higher-quality signals - More aggressive : Lower thresholds (e.g., 75/70/60) for more signals with slightly lower quality Signal Cooldown (Default: 8 bars) Minimum bars between signals to prevent signal spam. After any signal fires, no new signals can appear until this many bars pass. Increase for fewer signals in choppy markets; decrease if you want faster signal refresh. Show Prime/Standard/Caution/Exhaustion Signals Toggle each signal type on or off based on your preference. ZONE DISPLAY: Show Trap Zones / Entry Zones / Target Zones / Stop Levels Toggle each zone type on or off. Turning off zones you don't use reduces chart clutter. Zone Transparency (Default: 88) Controls how transparent zone boxes appear. Higher values (closer to 95) make zones barely visible; lower values (closer to 75) make them more prominent. Zone History (Default: 25 bars) How far back zone boxes extend on the chart. Purely visual preference. BACKGROUND: Background Mode (Options: Off, Subtle, Normal) Controls whether and how intensely the chart background is colored. Subtle is barely noticeable; Normal is more visible; Off disables background coloring entirely. Background Type (Options: Bias, Fuel) - Bias : Colors background based on current directional lean (green for long, red for short) - Fuel : Colors background based on momentum level (green for high fuel, amber for moderate, red for low) DASHBOARD / QUICK PANEL: Show Dashboard / Show Quick Panel Toggle each panel on or off. Compact Mode When enabled, the main dashboard shows only essential rows (quality bars, bias, R:R, fuel, session) without entry/stop/target levels, volatility, velocity, or time remaining. Position Settings Choose where each panel appears on your chart from six options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left. ALERTS: Alert Prime Signals / Standard Signals / Fuel Exhaustion Enable or disable TradingView alerts for each condition. When enabled, you can set up alerts in TradingView that will notify you when these conditions occur. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RECOMMENDED TIMEFRAMES AND USAGE OPTIMAL TIMEFRAMES: - 1-minute to 5-minute : Best for active scalping with quick entries and exits - 5-minute to 15-minute : Balanced scalping with slightly more confirmation - 15-minute to 1-hour : Short-term swing entries, fewer but more significant signals Zone visualizations only appear on intraday timeframes to prevent chart clutter on higher timeframes. BEST PRACTICES: 1. Trade primarily during LONDON, NEW YORK, or OVERLAP sessions. The indicator weights these sessions higher for good reason - liquidity and movement are typically better. 2. Prioritize PRIME signals. These represent the highest confluence and have proven most reliable. Use STANDARD signals as secondary opportunities. Treat CAUTION signals with extra scrutiny. 3. Respect the Fuel Gauge. Avoid entering new positions when fuel is below 40%. When the EXIT signal appears, seriously consider closing or reducing positions. 4. Pay attention to TRAP warnings. When the dashboard shows a trap zone in your bias direction, be cautious about holding through that level. 5. Verify R:R before entry. The dashboard shows the risk-to-reward ratio. Ensure it meets your minimum requirements (many traders require at least 1.5:1 or 2:1). 6. When state shows AVOID or EXIT, step back. These conditions typically produce poor results. 7. Combine with your own analysis. SPM is a decision-support tool, not a standalone system. Use it alongside your understanding of market structure, news events, and overall context. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PRACTICAL EXAMPLE Scenario : You're watching a 5-minute chart during London session. A cyan diamond (Prime Long signal) appears below the bar. Before entering, you check the dashboard: - State shows "PRIME" - conditions are favorable - Fuel shows "72% (8)" - plenty of momentum remaining (approximately 8 bars) - R:R shows "1:2.3" - acceptable risk-to-reward ratio - Session shows "LONDON" - active session with good liquidity - No TRAP warning in dashboard - no immediate resistance cluster in your way - Entry zone visible on chart at a lower price level - Stop and Target zones clearly marked With this confluence of factors, you have context for a more informed decision. The signal indicates quality, the fuel suggests momentum remains, the R:R is favorable, and no immediate trap threatens your trade. However, you also notice the target zone sits just below where a trap zone would be if there were one. This is by design - SPM adjusts targets to avoid placing them inside reversal zones. This multi-factor confirmation delivered in a single glance is what SPM provides. Chart Example :This chart demonstrates how the Scalp Precision Matrix identifies key market transitions. After a strong bullish impulse (cyan PRIME signal at ~08:30), price reached a historical reversal cluster (TRAP ZONE at 92,300). The indicator detected momentum exhaustion (purple EXIT signal) as fuel dropped below 20%, warning traders to exit longs. Now showing a SHORT bias with entry/stop/target zones clearly marked. The 92% trap zone confluence indicates a strong cluster of previous swing highs where price historically reversed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DATA WINDOW VALUES For detailed analysis and strategy development, SPM exports the following values to TradingView's Data Window (visible when you hover over the chart with the indicator selected): - Long Quality Score (0-100) - Short Quality Score (0-100) - Fuel Gauge (0-100%) - Risk:Reward Ratio These values can be useful for understanding how the indicator behaves over time and for developing your own insights about when it works best for your trading style. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NON-REPAINTING CONFIRMATION All signals in SPM are generated using CONFIRMED bar data only. The signal logic references the previous closed bar's values ( and in Pine Script terms). This means: - Signals appear at the OPEN of the new bar (after the previous bar closes) - Signals will NEVER disappear once they appear - Signals will NEVER change position on historical bars - What you see in backtesting is what you would have seen in real-time The dashboard and zones update in real-time to provide current market context, but the trading signals themselves are non-repainting. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IMPORTANT DISCLAIMERS TERMINOLOGY CLARIFICATION: This indicator uses terms that might imply access to data it does not have. To be completely transparent: - "Trap Zones" are calculated from historical swing point clustering. They are NOT institutional liquidity pools, order blocks, smart money footprints, or any form of order flow data. The term "trap" is metaphorical, describing how price has historically reversed at these levels. - "Fuel Gauge" is a technical momentum proxy. It is NOT order flow, volume profile, depth of market, or bid/ask data. It estimates momentum remaining based entirely on standard OHLCV price and volume data. - "Quality Scores" are weighted combinations of the technical factors described above. A high score indicates multiple conditions align favorably according to the indicator's logic. It does NOT predict or guarantee trade success. - The percentages shown on trap zones are CONFLUENCE SCORES measuring cluster density and proximity. They are NOT probability predictions of reversal. TRADING RISK WARNING: Trading involves substantial risk of loss and is not suitable for all investors. This indicator is a technical analysis tool designed to assist with decision-making. It does not constitute financial advice, trading advice, or any other sort of advice. Past performance of any signal or pattern does not guarantee future results. Markets are inherently unpredictable. Always use proper risk management. Define your risk before entering any trade. Never risk more than you can afford to lose. Consider consulting with a licensed financial advisor before making trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ORIGINALITY STATEMENT - NOT A MASHUP Scalp Precision Matrix is an original work that combines several analytical concepts into a purpose-built scalping framework. While individual components like ATR calculations, pivot detection, session timing, and trend alignment exist in various forms elsewhere, the specific implementation here represents original synthesis: - The Fuel Gauge decay model with its four-component weighted calculation - The Trap Zone cluster detection with confluence scoring - The multi-factor quality scoring system that integrates all layers - The trap-aware entry and target zone placement logic - The volatility regime adaptation across all components - The session weighting is integrated into the quality assessment The indicator does not simply overlay separate indicators on one chart. It creates interconnected layers where each component informs and adjusts the others. This integration is the core originality of SPM. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ For best results, combine SPM with your own market understanding and always practice proper risk management. -BullByte
Pine Script®指标
由BullByte提供
22
EMA Exhaustion + ContinuationA fast, mechanical scalping system that detects EMA exhaustion, filters with RSI, and manages exits plus continuations. This indicator is designed for ultra‑short timeframe scalping, where speed and clarity matter more than anything else. It combines three core elements into one mechanical workflow: - EMA Spread Exhaustion The system measures the distance between fast and slow EMAs relative to ATR. When the spread reaches extreme levels and then begins to contract, it signals exhaustion — the point where momentum is likely to stall or reverse. This gives traders a structural way to identify setups without relying on subjective “feel.” - RSI Filter (Accelerated for Scalping) A shortened RSI (default length 7) is normalized by ATR to match the tempo of 15‑second scalps. This filter ensures that entries only trigger when momentum aligns with the exhaustion signal, reducing false positives and keeping trades in sync with volatility. - Entry, Exit, and Continuation Logic - Entries: - Long entry triggers when spread retreats, EMA‑3 crosses price, and RSI confirms bearish exhaustion (RSI < 0). - Short entry triggers under the opposite conditions (spread retreat, EMA‑3 cross, RSI > 0). - Icons: Blue arrow up for longs, Red arrow down for shorts. - Exits: - Long exits occur when price closes below the 7 EMA smoothed by SMA‑2 while all EMAs are still sloping upward. - Icon: Yellow cross above the candle. - Continuations: - Long continuation triggers when price dips below EMA‑9 and then reclaims above it. - Short continuation triggers when price closes above EMA‑9 and then reclaims below it. - Icons: Green triangle up for long continuation, Purple triangle down for short continuation. ---------------------------------------------------------------------------------------- - Apply the indicator to your chart. I use 15 second chart - Watch for blue/red arrows — these are your primary entry signals. - Respect yellow crosses — they mark mechanical exit points. - Use green/purple triangles to re‑engage continuation trades after shallow pullbacks. I only take the first continuation signal above/below the 20 EMA. - Keep the RSI filter active to avoid chasing false setups. - Combine with your risk management rules (position sizing, stop placement) for full system integrity.
Pine Script®指标
由ChannelFisher提供
Aura Squeeze Projections [Pineify]Pineify - Aura Squeeze Projections This indicator combines the volatility compression detection of the TTM Squeeze methodology with an innovative "aura glow" visualization, offering traders a clear and aesthetically distinct way to identify low-volatility consolidation phases and anticipate breakout directions. By merging Bollinger Bands, Keltner Channels, and linear regression momentum analysis, the Aura Squeeze Projections provides actionable squeeze signals with directional bias. Key Features Visual "aura glow" effect highlighting squeeze zones and momentum shifts Squeeze detection combining Bollinger Bands and Keltner Channels Linear regression-based momentum for directional bias Dynamic candle coloring reflecting current market state Squeeze start and release signal markers How It Works The core logic identifies volatility compression by comparing Bollinger Bands to Keltner Channels. When the Bollinger Bands contract inside the Keltner Channel boundaries (BB upper < KC upper AND BB lower > KC lower), the market enters a "squeeze" state — a period of low volatility that often precedes significant price movement. Momentum direction is calculated using a linear regression slope of the difference between price and its moving average. A positive slope indicates bullish momentum; negative indicates bearish momentum. This determines the anticipated breakout direction when the squeeze releases. How Multiple Indicators Work Together Bollinger Bands measure statistical volatility through standard deviation, expanding during high volatility and contracting during consolidation. Keltner Channels use Average True Range (ATR) for a smoother volatility envelope. When BB fits entirely within KC, volatility has compressed below normal levels — the squeeze condition. The linear regression momentum component adds directional intelligence. Rather than simply detecting compression, it forecasts the likely breakout direction by analyzing the trend slope of price deviation from its mean. This synergy transforms a binary squeeze signal into an actionable directional setup. Unique Aspects The "aura glow" visualization creates gradient fills between the trend midline and Keltner boundaries, providing an intuitive heat-map style view of market conditions. Colors transition dynamically: gray during squeeze (consolidation), green for bullish momentum, and red for bearish momentum. This makes market state immediately recognizable at a glance. How to Use Watch for the gray squeeze state indicating volatility compression Note the circle marker appearing above bars when squeeze begins Observe when the diamond marker appears below bars — squeeze release The color at release (green/red) indicates anticipated breakout direction Use candle coloring for confirmation of momentum alignment Customization Lookback Length : Adjusts sensitivity (shorter = more signals, longer = fewer but stronger) BB/KC Multipliers : Fine-tune squeeze detection threshold Use EMA : Toggle between EMA (smoother) or SMA for the midline basis Aura Transparency : Control visual intensity of the glow effect Conclusion Aura Squeeze Projections offers a refined approach to squeeze-based trading by combining proven volatility compression detection with momentum-based directional analysis and distinctive visual presentation. The indicator helps traders identify consolidation periods and prepare for breakouts with directional confidence. Best used alongside price action analysis and support/resistance levels for confirmation.
Pine Script®指标
由Pineify提供
BIST Commander - Strategic MomentumDescription : This indicator is designed for retail investors who want to follow the trend without getting caught in market noise. It is optimized for 1-Hour, 2-Hour, and 4-Hour timeframes. Key Features: Triple Filter Mechanism: Checks Daily Bullish structure, Weekly Confirmation, and Momentum (CCI) simultaneously. No Repaint: Signals are calculated based on fixed daily/weekly data to ensure stability. Anti-Noise: By using a strict CCI threshold (95/-85), it avoids premature entries in sideways markets. Strategy Logic: BUY: Active when the price is above Today's Open AND Yesterday's High AND Weekly Open AND CCI is above 95. SELL: Triggered when CCI loses momentum (falls below 85) or enters a bearish zone. Note: This is a trend-following tool. It works best in trending markets and helps you stay disciplined.
Pine Script®指标
由metinnitem提供
Momentum Status Tracker by VKKScript Coder: Vivek K. Disclaimer : Use this indicator at your own risk. Do proper back testing to make sure it works for you. I am not responsible for any losses you may have. Indicator may give false signals during consolidation state. Make sure to use other indicators for correct momentum or directional confirmations. Bullish: Price is above the 5, 13, 20 EMAs AND the VWAP. Bearish: Price is below the 5, 13, 20 EMAs AND the VWAP. Cautious: This triggers when the "stack" is broken. For example, if you are in a clear uptrend but the price closes below the 5 EMA, the table will flip to Cautious to warn you of a potential slowdown. Neutral: Used as a fallback if the price is chopping directly inside the EMA cluster.
Pine Script®指标
由katakwar提供
Liquidity Trend Horizon [Pineify]Pineify - Liquidity Trend Horizon The Liquidity Trend Horizon is a sophisticated trend-following indicator designed to identify potential liquidity sweep zones while providing clear visual trend direction. It combines adaptive volatility bands with smart liquidity detection to help traders spot high-probability reversal points where institutional activity may be occurring. Key Features Dynamic trend baseline using WMA and EMA smoothing ATR-based volatility bands that adapt to market conditions Automatic liquidity sweep detection with visual alerts Gradient-filled channels for intuitive trend visualization Real-time candle coloring based on trend direction How It Works The indicator calculates a weighted moving average (WMA) of the closing price, then applies exponential smoothing (EMA) to create a responsive yet stable baseline. This dual-smoothing approach filters out market noise while maintaining sensitivity to genuine trend changes. Volatility bands are constructed using a 200-period Average True Range (ATR) multiplied by a user-defined factor. This creates dynamic support and resistance zones that automatically widen during volatile periods and contract during consolidation. How Multiple Indicators Work Together The synergy between WMA, EMA, and ATR creates a comprehensive trend analysis system: The WMA provides the initial trend estimation with emphasis on recent price action The EMA layer adds smoothness to reduce false signals The ATR bands define probabilistic boundaries where price is likely to find support or resistance Trading Ideas and Insights Liquidity sweeps occur when price wicks beyond the volatility bands but closes back within the channel. These events often indicate: Stop-loss hunting by larger market participants False breakouts that may lead to reversals Areas of accumulated liquidity being absorbed A bullish sweep (wick below lower band, close above) suggests potential buying opportunity. A bearish sweep (wick above upper band, close below) may signal selling pressure. Unique Aspects Unlike traditional channel indicators, the Liquidity Trend Horizon specifically identifies sweep events where price temporarily breaks boundaries before reverting. This behavior is commonly associated with institutional order flow and smart money concepts. How to Use Observe the baseline color for overall trend direction (cyan for bullish, purple for bearish) Watch for sweep markers (🚀 BULL / 📉 BEAR) at band extremes Use background flashes as immediate alerts for sweep events Consider entries when sweeps align with the prevailing trend direction Customization Trend Period - Adjust baseline sensitivity (default: 24) Channel Width Multiplier - Control band distance from baseline (default: 2.0) Smoothness - Fine-tune signal responsiveness (default: 5) Color Settings - Personalize bullish/bearish colors and transparency Conclusion The Liquidity Trend Horizon bridges technical analysis with liquidity concepts, offering traders a unique perspective on market structure. By highlighting potential sweep zones within an adaptive trend framework, it helps identify areas where reversals are statistically more likely to occur.
Pine Script®指标
由Pineify提供
Zenith MACD Evolution [JOAT] Zenith MACD Evolution - Volatility-Normalized Momentum Oscillator Introduction and Purpose Zenith MACD Evolution is an open-source oscillator indicator that takes the classic MACD and normalizes it by ATR (Average True Range) to create consistent overbought/oversold levels across different market conditions. The core problem this indicator solves is that traditional MACD values are incomparable across different volatility regimes. A MACD reading of 50 might be extreme in a quiet market but normal in a volatile one. This indicator addresses that by dividing MACD by ATR and scaling to a consistent range, allowing traders to use fixed overbought/oversold levels that work across all market conditions. Why ATR Normalization Works Traditional MACD problems: - Values vary wildly based on price and volatility - No consistent overbought/oversold levels - Hard to compare across different instruments - Extreme readings in one period may be normal in another ATR-normalized MACD (Zenith) solves these: - Values scaled to consistent range - Fixed overbought/oversold levels work across all conditions - Comparable across different instruments - Extreme readings are truly extreme regardless of volatility How the Normalization Works // Classic MACD = ta.macd(close, fastLength, slowLength, signalLength) // ATR for normalization float atrValue = ta.atr(atrNormLength) // Volatility-Normalized MACD float zenithMACD = atrValue != 0 ? (histLine / atrValue) * 100 : 0 float zenithSignal = ta.ema(zenithMACD, signalLength) The result is a MACD that typically ranges from -200 to +200, with consistent levels: - Above +150 = Overbought - Below -150 = Oversold - Above +200 = Extreme overbought - Below -200 = Extreme oversold Signal Types Zero Cross Up/Down - Zenith crosses zero line (trend change) Overbought/Oversold Entry - Zenith enters extreme zones Overbought/Oversold Exit - Zenith leaves extreme zones (potential reversal) Momentum Shift - Histogram direction changes (early warning) Divergence - Price makes new high/low but Zenith does not Histogram Coloring The histogram uses four colors to show momentum state: - Strong Bull (Teal) - Positive and rising - Weak Bull (Light Teal) - Positive but falling - Strong Bear (Red) - Negative and falling - Weak Bear (Light Red) - Negative but rising This helps identify momentum shifts before crossovers occur. Dashboard Information Zenith - Current normalized MACD value with signal line Zone - Current zone (EXTREME OB/OVERBOUGHT/NORMAL/OVERSOLD/EXTREME OS) Momentum - Direction (RISING/FALLING/FLAT) Histogram - Current histogram value ATR Norm - Current ATR value used for normalization Classic - Traditional MACD value for reference How to Use This Indicator For Mean-Reversion: 1. Wait for Zenith to reach extreme zones (+200/-200) 2. Look for momentum shift (histogram color change) 3. Enter counter-trend when exiting extreme zone For Trend Following: 1. Enter long on zero cross up 2. Enter short on zero cross down 3. Use histogram color to gauge momentum strength For Divergence Trading: 1. Watch for DIV labels (price vs Zenith divergence) 2. Bullish divergence at support = potential long 3. Bearish divergence at resistance = potential short Input Parameters Fast/Slow/Signal Length (12/26/9) - Standard MACD parameters ATR Normalization Period (26) - Period for ATR calculation Overbought/Oversold Zone (150/-150) - Zone thresholds Extreme Level (200) - Extreme threshold Show Classic MACD Lines (false) - Toggle traditional lines Show Divergence Detection (true) - Toggle divergence signals Divergence Lookback (14) - Bars to scan for divergence Timeframe Recommendations All timeframes work due to normalization Higher timeframes provide smoother signals Normalization makes cross-timeframe comparison meaningful Limitations ATR normalization adds slight lag Divergence detection is simplified Extreme zones can persist in strong trends Works best when combined with price action analysis Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Momentum analysis does not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Vortex Trend Matrix [JOAT]Vortex Trend Matrix - Multi-Factor Trend Confluence System Introduction and Purpose Vortex Trend Matrix is an open-source overlay indicator that combines Ichimoku-style equilibrium analysis with the Vortex Indicator to create a comprehensive trend confluence system. The core problem this indicator solves is that single trend indicators often give conflicting signals. Price might be above a moving average but momentum might be weakening. This indicator addresses that by combining five different trend factors into a single composite score, making it easy to identify when multiple factors align for high-probability trend trades. Why These Components Work Together Each component measures trend from a different perspective: 1. Cloud Position - Price above/below the equilibrium cloud indicates overall trend bias. The cloud acts as dynamic support/resistance. 2. TK Relationship - Conversion line vs Base line (like Tenkan/Kijun in Ichimoku). Conversion above Base = bullish momentum. 3. Lagging Span - Current price compared to price N bars ago. Confirms whether current move has follow-through. 4. Vortex Indicator - VI+ vs VI- measures directional movement strength. Provides momentum confirmation. 5. Base Direction - Whether the base line is rising or falling. Indicates medium-term trend direction. How the Trend Score Works float trendScore = 0.0 // Cloud position (+2/-2) trendScore += aboveCloud ? 2.0 : belowCloud ? -2.0 : 0.0 // TK relationship (+1/-1) trendScore += conversionLine > baseLine ? 1.0 : conversionLine < baseLine ? -1.0 : 0.0 // Lagging span (+1/-1) trendScore += laggingBull ? 1.0 : laggingBear ? -1.0 : 0.0 // Vortex (+1.5/-1.5) trendScore += vortexBull ? 1.5 : vortexBear ? -1.5 : 0.0 // Base direction (+0.5/-0.5) trendScore += baseDirection * 0.5 Score ranges from approximately -6 to +6: - +4 or higher = STRONG BULL - +2 to +4 = BULL - -2 to +2 = NEUTRAL - -4 to -2 = BEAR - -4 or lower = STRONG BEAR Signal Types TK Cross Up/Down - Conversion line crosses Base line (momentum shift) Base Direction Change - Base line changes direction (medium-term shift) Strong Bull/Bear Trend - Score reaches +4/-4 (high confluence) Dashboard Information Trend - Overall status with composite score Cloud - Price position (ABOVE/BELOW/INSIDE) TK Cross - Conversion vs Base relationship Lagging - Lagging span bias Vortex - VI+/VI- relationship VI+/VI- - Individual vortex values How to Use This Indicator For Trend Following: 1. Enter long when trend score reaches +4 or higher (STRONG BULL) 2. Enter short when trend score reaches -4 or lower (STRONG BEAR) 3. Use cloud as dynamic support/resistance for entries For Momentum Timing: 1. Watch for TK Cross signals for entry timing 2. Base direction changes indicate medium-term shifts 3. Vortex confirmation adds conviction For Risk Management: 1. Exit when trend score drops to neutral 2. Use cloud edges as stop-loss references 3. Reduce position when score weakens Input Parameters Conversion Period (9) - Fast equilibrium line Base Period (26) - Slow equilibrium line Lead Span Period (52) - Cloud projection period Displacement (26) - Cloud and lagging span offset Vortex Period (14) - Period for vortex calculation VI+ Strength (1.10) - Threshold for strong bullish vortex VI- Strength (0.90) - Threshold for strong bearish vortex Timeframe Recommendations 4H-Daily: Best for equilibrium-based analysis 1H: Good for intraday trend following Lower timeframes may require adjusted periods Limitations Equilibrium calculations have inherent lag Cloud displacement means signals are delayed Works best in trending markets May whipsaw in ranging conditions Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Adjusted RSI - [JTCAPITAL]Adjusted RSI – is a modified and enhanced way to use the Relative Strength Index (RSI) combined with double normalization, adaptive exponential smoothing, and range compression to create a smoother, more readable, and more structurally consistent momentum oscillator for Trend-Following and momentum analysis. This indicator is designed to solve several common RSI issues at once: Excessive noise in raw RSI values Inconsistent scaling across different market conditions Difficulty identifying true momentum shifts versus random fluctuations By re-centering, compressing, normalizing, and smoothing RSI data twice , this script produces a highly refined momentum curve that reacts smoothly while still respecting directional changes. The indicator works by calculating in the following steps: Raw RSI Calculation The script begins by calculating a standard RSI using the selected RSI Length . This RSI is based on the closing price and measures relative strength by comparing average gains and losses over the defined period. RSI Re-Centering After the RSI is calculated, the script subtracts 50 from the RSI value. This converts the RSI from its native scale into a centered oscillator ranging around 0 , making positive values bullish momentum and negative values bearish momentum. Initial RSI Smoothing The re-centered RSI is then smoothed using a Simple Moving Average (SMA) over the defined RSI Smoothing Length . This step removes high-frequency noise and stabilizes short-term RSI fluctuations before further processing. Range Compression (Clipping) To prevent extreme outliers from dominating future calculations, the RSI values are clipped: Values below -10 are forced to -10 Values above +10 are forced to +10 This creates a controlled and consistent RSI range, ensuring later normalization behaves reliably. First Normalization (Min-Max Scaling) The clipped RSI values are normalized over the selected Smoothing Length : The lowest RSI value in the window is detected The highest RSI value in the window is detected Current RSI is scaled to a 0–100 range based on this dynamic range This allows the indicator to adapt automatically to changing volatility and momentum environments. First Adaptive Smoothing The normalized RSI is then smoothed using a custom exponential smoothing formula controlled by the Smoothing Factor . This smoothing behaves similarly to an EMA but allows explicit control over responsiveness. Second Normalization The smoothed values undergo a second min-max normalization over the same length. This further stabilizes the oscillator and ensures consistent amplitude and structure, regardless of market regime. Second Adaptive Smoothing A second exponential smoothing pass is applied to the normalized data, further refining the curve and reducing residual noise. Final Re-Centering Finally, the indicator subtracts 50 from the smoothed normalized values, re-centering the oscillator around zero . This produces the final Adjusted RSI line used for visualization and analysis. Common interpretations for use include: Bullish Momentum : When the Adjusted RSI is above zero and rising, indicating strengthening bullish pressure. Bearish Momentum : When the Adjusted RSI is below zero and falling, indicating strengthening bearish pressure. Momentum Shifts : A change in slope (from falling to rising or vice versa) often signals an early momentum transition. Divergences : Differences between price direction and Adjusted RSI direction can highlight potential reversals. Because the indicator is normalized and smoothed, it pairs exceptionally well with: Trend filters (moving averages, trend lines) Volatility filters Higher-timeframe confirmation Features and Parameters: RSI Length Defines the lookback period for the initial RSI calculation. RSI Smoothing Length Controls the SMA smoothing applied directly to the re-centered RSI. Smoothing Length Determines the lookback window used for both normalization passes. Smoothing Factor Controls the responsiveness of the adaptive exponential smoothing. Lower values = smoother, slower reaction Higher values = faster, more responsive reaction Specifications: Relative Strength Index (RSI) RSI is a momentum oscillator that measures the speed and magnitude of recent price changes. By re-centering RSI around zero, the script converts it into a directional momentum oscillator that is easier to interpret for trend-following. Simple Moving Average (SMA) The SMA reduces short-term fluctuations in RSI, ensuring that only meaningful momentum changes proceed to later calculations. Range Clipping By limiting RSI values to a defined range, extreme spikes are prevented from skewing normalization. This keeps the indicator stable across different assets and timeframes. Min-Max Normalization Normalization rescales values into a fixed range (0–100), allowing momentum behavior to remain consistent regardless of volatility conditions. Adaptive Exponential Smoothing This smoothing technique gradually adjusts values toward new data based on the smoothing factor. It allows the indicator to remain smooth while still reacting to genuine momentum shifts. Double Normalization and Double Smoothing Applying normalization and smoothing twice significantly improves structural stability. The result is a refined oscillator that filters noise without sacrificing trend awareness. Why This Combination Works By combining RSI with controlled compression, adaptive smoothing, and dynamic normalization, this indicator transforms raw momentum data into a highly structured and trend-aligned oscillator. The result is an RSI-based tool that: Reduces noise Adapts to volatility Maintains consistent scaling Highlights true momentum direction This makes the Adjusted RSI particularly effective for swing trading, trend confirmation, and momentum-based strategies across all markets and timeframes. Enjoy!
Pine Script®指标
由JTCapitalNL提供
Aura Vortex Oscillator [Pineify]Aura Vortex Oscillator – Adaptive Momentum with Visual Depth The Aura Vortex Oscillator is a sophisticated momentum indicator that transforms raw price action into a visually immersive analytical tool. By combining Sigmoid-based normalization through ArcTan mathematics with adaptive momentum calculations, this oscillator delivers clear, bounded signals while filtering market noise. The distinctive "Vortex Mesh" visualization creates a layered depth effect that reveals trend consensus across multiple smoothing periods. Key Features Sigmoid normalization using ArcTan function for bounded output (-100 to +100) Adaptive momentum calculation with standard deviation normalization Multi-layered "Vortex Mesh" creating visual depth and trend confluence signals Dynamic color-coded visualization for instant trend recognition Zero-line crossover signals with plotted reversal markers Extreme zone highlighting for overbought/oversold conditions How It Works The core calculation begins with computing the Z-score of price relative to its simple moving average, normalized by standard deviation. This adaptive component automatically adjusts sensitivity based on recent volatility. The normalized value then passes through an ArcTan function, which acts as a sigmoid transformation, "squarifying" the output to emphasize extreme conditions while keeping values bounded. os = atan(z × intensity) × 63.66 The multiplier 63.66 scales the output to approximately -100 to +100, providing intuitive overbought/oversold levels at ±50. Trading Ideas and Insights Use zero-line crossovers as primary trend change signals – bullish when crossing above, bearish when crossing below Monitor the Vortex Mesh thickness – a thick, solid aura indicates strong trend consensus across timeframes Watch for background highlighting at ±50 levels to identify statistical extremes for potential reversals Combine with price action analysis when the oscillator reaches boundary zones How Multiple Indicators Work Together The Aura Vortex Oscillator integrates three technical concepts into one cohesive system. The adaptive momentum calculation provides the raw signal, responding dynamically to market volatility. The ArcTan normalization bounds this signal and emphasizes extremes without clipping. Finally, the Vortex Mesh applies multiple EMA smoothing layers to the base signal, creating visual depth that shows whether different momentum speeds agree on trend direction. Unique Aspects Unlike traditional oscillators that show a single line, this indicator visualizes momentum as a "thermal field" through its layered mesh system. The mesh expands and contracts based on trend agreement – a thick, cohesive glow suggests high-confluence momentum, while a thin, scattered appearance warns of choppy, range-bound conditions. How to Use Add the indicator to your chart as a separate pane Look for color transitions (green to red or vice versa) at zero-line crosses for trend reversals Use the ±50 boundary zones and background highlighting to identify overextended conditions Enable the Vortex Mesh to visualize trend strength and momentum consensus Customization Vortex Sensitivity (20) : Base period for momentum calculation – lower values increase responsiveness Vortex Intensity (2.0) : Amplifies signal squarification – higher values push readings toward extremes faster Aura Smoothing (8) : EMA period for the main signal line – higher values reduce noise Enable Vortex Mesh : Toggle the layered visualization effect Color Settings : Customize bullish, bearish, and neutral colors Conclusion The Aura Vortex Oscillator offers traders a unique perspective on momentum analysis by combining mathematical rigor with innovative visualization. Its adaptive normalization ensures reliable signals across different market conditions, while the Vortex Mesh provides instant visual feedback on trend quality. Whether you are identifying trend reversals, measuring momentum strength, or seeking confluence confirmation, this oscillator delivers actionable insights in an intuitive format.
Pine Script®指标
由Pineify提供
Hull DMI - MattesHull DMI - Mattes A Directional Movement Index enhanced with Hull Moving Average smoothing for refined trend detection. This indicator reimagines the classic Directional Movement Index (DMI) by incorporating Hull Moving Average (HMA) smoothing on high and low prices. It calculates the +DI and -DI components based on changes in these hulled values, then derives the ADX for trend strength. The core plot displays the difference between +DI and -DI, colored to indicate bullish (blue) or bearish (purple) dominance when ADX is rising. Additionally, it overlays colored candles on the price chart to visually represent the prevailing trend direction. Key Features: Hull-Smoothed Inputs: Applies HMA to highs and lows before computing directional changes, reducing noise and lag compared to standard DMI. Customizable Lengths: Adjustable periods for HMA, DI, and ADX smoothing to suit various timeframes and assets. Trend Visualization: Plots DI difference with dynamic coloring and overlays trend-colored candles for at-a-glance analysis. Alert Conditions: Built-in alerts for long (bullish) and short (bearish) signals when conditions shift. How It Differs from Standard DMI/ADX: Unlike the traditional DMI, which uses raw price changes and true range, this version employs Hull Moving Averages on highs and lows for smoother, more responsive directional calculations. This minimizes whipsaws in choppy markets while preserving sensitivity to genuine trends. The ADX is integrated to filter signals, ensuring color changes and alerts only occur during strengthening trends, setting it apart from basic oscillator-based indicators. Why It's Useful: Enhanced Trend Identification: The HMA smoothing provides clearer signals in volatile environments, helping traders spot emerging trends earlier. Visual Clarity: Colored DI plot and candle overlays make it easy to interpret market bias without cluttering the chart. Versatility: Suitable for stocks, forex, crypto, and more; excels in trend-following strategies or as a filter for other systems. Risk Management Aid: By focusing on ADX-confirmed moves, it reduces false signals, potentially improving win rates in systematic trading. This Hull DMI variant offers several practical advantages that can directly improve trading decisions and performance: Reduced Lag with Smoother Signals: By applying Hull Moving Average smoothing to highs and lows, the indicator responds faster to genuine trend changes than the standard DMI while filtering out much of the noise that causes false signals in ranging or choppy markets. Traders get earlier entries into trending moves without excessive whipsaws. Built-in Trend Strength Filter: The optional ADX confirmation (enabled by default) ensures bullish signals and blue coloring only activate when trend strength is increasing (ADX rising). This helps traders avoid entering long positions during weakening or sideways trends, focusing capital on higher-probability setups. Clear Visual Bias at a Glance: The single oscillator line (+DI – -DI) centered on zero, combined with dynamic blue/purple coloring and full candle overlay on the price chart, instantly shows the dominant trend direction. No need to interpret multiple lines—traders can quickly assess market bias across multiple charts or timeframes. Versatile Across Markets and Styles: Works effectively on stocks, forex, futures, and cryptocurrencies. Trend-following traders can use it standalone for entries/exits, swing traders can use it for bias confirmation, and scalpers/day traders benefit on lower timeframes due to the reduced lag. Improved Risk Management: By prioritizing ADX-confirmed directional moves, the indicator naturally filters low-conviction setups. This can lead to higher win rates and better risk-reward ratios when used systematically, especially when combined with proper stop-loss placement below/above recent swings. Easy Integration: Built-in alert conditions and simple long/short logic make it straightforward to incorporate into automated strategies, watchlists, or as a confirming filter alongside other indicators (e.g., moving averages, RSI, volume profile). Customizable Sensitivity: Separate inputs for Hull length, DI period, and ADX smoothing allow traders to optimize the indicator for specific assets, volatility regimes, or personal trading horizons—making it adaptable rather than one-size-fits-all. Signals & Interpretation The oscillator plots the difference between +DI and -DI (positive = bullish dominance, negative = bearish). Bullish Signal (Long): +DI crosses above -DI, and (if ADX confirmation enabled) ADX is rising — triggers blue coloring, candle overlay, and long alert. Bearish Signal (Short): -DI crosses above +DI — triggers purple coloring, candle overlay, and short alert. Zero line acts as neutrality; crossings indicate potential trend shifts. Best used in trending markets; ADX rising filter helps avoid whipsaws. // Example Usage in Strategy strategy("Hull DMI Strategy Example", overlay=true) if L strategy.entry("Long", strategy.long) if S strategy.entry("Short", strategy.short) Great Inventions Require great care Disclaimer: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Past performance is not indicative of future results. Always backtest thoroughly on your specific assets and timeframes, and consult a qualified financial advisor before making trading decisions. The author assumes no responsibility for any losses incurred from its use.
Pine Script®指标
由Mattes00提供
Pulse Volume Commitment [JOAT] Pulse Volume Commitment - Three-Dimensional Momentum Analysis Introduction and Purpose Pulse Volume Commitment is an open-source oscillator indicator that analyzes price action through three distinct dimensions: Quantity (candle count), Quality (body structure), and Commitment (volume-weighted quality). The core problem this indicator solves is that simple bullish/bearish candle counts miss important context. A market can have more green candles but still be weak if those candles have small bodies and low volume. This indicator addresses that by requiring all three dimensions to align before generating strong signals, filtering out weak moves that lack conviction. Why These Three Dimensions Work Together Each dimension measures a different aspect of market conviction: 1. Quantity - Counts bullish vs bearish candles over the lookback period. Tells you WHO is winning the candle count battle. 2. Quality - Scores candles by body size relative to total range. Full-bodied candles (small wicks) indicate stronger conviction than doji-like candles. Tells you HOW decisively price is moving. 3. Commitment - Weights quality scores by volume. High-quality candles on high volume indicate institutional participation. Tells you WHETHER smart money is involved. When all three align (e.g., more bullish candles + bullish quality + bullish commitment), the signal is significantly more reliable. How the Calculations Work Quantity Analysis: int greenCount = 0 int redCount = 0 for i = 0 to lookbackPeriod - 1 if close > open greenCount += 1 if close < open redCount += 1 bool quantityBull = greenCount > redCount Quality Analysis (body-to-range scoring): for i = 0 to lookbackPeriod - 1 float candleBody = close - open // Signed (positive = bull) float candleRange = high - low float bodyQuality = candleRange > 0 ? (candleBody / candleRange * 100) * candleRange : 0.0 sumBodyQuality += bodyQuality bool qualityBull = sumBodyQuality > 0 Signal Types FULL BULL - All three dimensions bullish (Quantity + Quality + Commitment) FULL BEAR - All three dimensions bearish LEAN BULL/BEAR - 2 of 3 dimensions agree MIXED - No clear consensus STRONG BUY/SELL - Full confluence + ADX confirms trending market ADX Integration The indicator includes ADX (Average Directional Index) to filter signals: - ADX >= 20 = TRENDING market (signals more reliable) - ADX < 20 = RANGING market (signals may whipsaw) Strong signals only trigger when full confluence occurs in a trending environment. Dashboard Information Quantity - BULL/BEAR/FLAT with green/red candle ratio Quality - Directional bias based on body quality scoring Commit - Volume-weighted commitment reading ADX - Trend strength (TRENDING/RANGING) Signal - Confluence status (FULL BULL/FULL BEAR/LEAN/MIXED) Action - STRONG BUY/STRONG SELL/WAIT How to Use This Indicator For High-Conviction Entries: 1. Wait for FULL BULL or FULL BEAR confluence 2. Confirm ADX shows TRENDING 3. Enter when Action shows STRONG BUY or STRONG SELL For Filtering Weak Setups: 1. Avoid entries when signal shows MIXED 2. Be cautious when ADX shows RANGING 3. Require at least 2 of 3 dimensions to agree For Divergence Analysis: 1. Watch for Quantity bullish but Commitment bearish (distribution) 2. Watch for Quantity bearish but Commitment bullish (accumulation) Input Parameters Lookback Period (9) - Bars to analyze for all three dimensions ADX Smoothing (14) - Period for ADX calculation ADX DI Length (14) - Period for directional indicators Timeframe Recommendations 15m-1H: Good for intraday momentum analysis 4H-Daily: Best for swing trading confluence Lookback period may need adjustment for different timeframes Limitations Lookback period affects signal responsiveness vs reliability tradeoff Volume data quality varies by exchange ADX filter may cause missed entries in early trends Works best on liquid instruments with consistent volume Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Confluence signals do not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
CAP - CSI [Auto-MTF]The CAP - CSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." While traditional oscillators often fail in trending markets by staying "pinned" at extremes, the CSI uses a recursive dual-thrust processor to isolate the underlying market rhythm, helping traders identify when a cycle is genuinely exhausted. Core Methodology This script implements a Cycle Swing Momentum processor. It calculates the difference between short-term and long-term "thrusts" to extract the dominant cycle from price action. Unlike static indicators, it uses Dynamic Percentile Banding to adapt its overbought and oversold levels based on the market's recent "cyclic memory." Key Features Pivot Point Detection: Identifies exhaustion when the CSI extends outside its dynamic bands and begins to pivot back toward the mean. Trend-Aware Coloring: The area fill uses slope-based logic to differentiate between "Rising/Falling" momentum and "Bullish/Bearish" strong zones. HTF (5x): Built-in logic to define the larger cycle trend. I recommend using a 5x multiplier (e.g., viewing 4H cycles on a 1H chart) to ensure you are trading with the macro flow. Zero Line Equilibrium: Clear visualization of the cycle's position relative to its center-point to determine the current market regime. The "Trending" Challenge A common pitfall with DSP-based cycle tools is that they can generate "phantom" signals during powerful, linear trending conditions. This script is my attempt to solve that by integrating HTF confluence and slope-based filtering. It is specifically optimized for: Futures: ES, NQ, RTY, and GC. US Equities: (NVDA, TSLA, etc.). Additional tip, search for Strong relative strength Symbols, I've created this script : CAP - Mansfield Relative Strength, but there are many there "Mansfield Relative Strength" indicators available. Why I am sharing this This is an ongoing project. I am releasing this to the public to connect with other traders interested in Lars von Thienen’s work or John Ehlers’ DSP techniques. My goal is to collaborate with the community to refine the processor further and build a consistent, profitable system that can distinguish between a cycle turn and a trend continuation.
Pine Script®指标
由calinpascual提供
1
CAP - cRSI cyclic smoothed [MTF]Introduction This indicator is a Multi-Timeframe (MTF) adaptation of the Cyclic Smoothed RSI (cRSI), based on the foundational work of Lars von Thienen and his book "Decoding The Hidden Market Rhythm". It allows traders to visualize cyclic momentum and identify potential turning points by adapting standard RSI calculations to a dominant market cycle. How It Works Unlike a standard RSI which uses fixed periods, the cRSI uses "cyclic memory" to adjust its sensitivity: Cyclic Smoothing: It smooths the RSI based on a user-defined Dominant Cycle Length (default: 20 bars). Dynamic Bands: Instead of static overbought/oversold levels (like 70/30), this script calculates dynamic upper and lower bands that adapt to recent volatility and cyclic distribution. MTF Capability: You can view the cRSI of a higher timeframe (e.g., Daily) while looking at a lower timeframe chart (e.g., H1) to align your entries with the broader trend. My Trading Strategy & Context I am sharing this to start a conversation on how to optimize cyclic tools for Equity markets. My current workflow is: - Timeframe: I analyze Daily candles for the main trend but look for entries on Intraday (H1). - Confluence: I combine this cRSI with the CSP - CSI (Cyclic Swing Indicator). - Momentum & Trend: I use Williams %R to read immediate momentum, and check trend direction using EMA9 and SMA30. - Entries: On the H1 chart, I look for VWAP interactions to trigger the entry once the Daily cRSI confirms the cycle low/high. Let's Collaborate I am looking for constructive feedback to refine this strategy. Please leave a comment below regarding: - Settings: Have you found a Dominant Cycle Length other than 20 that works better for Crypto or FX volatility? - Filtering: What filters do you use to avoid "catching a falling knife" when the bands widen significantly? - Backtesting: If you have visual backtest results using this with VWAP, please share your findings. Note: This script is for educational purposes and collaborative research. Please backtest all strategies before live trading. #Cycles, #RSI, #Momentum, #Lars von Thienen, #MTF
Pine Script®指标
由calinpascual提供
Nexus Momentum Flow [JOAT] Nexus Momentum Flow - ADX-Based Trend Strength Analysis Introduction and Purpose Nexus Momentum Flow is an open-source oscillator indicator that combines the ADX (Average Directional Index) with directional movement indicators (+DI/-DI) to create a comprehensive trend strength and direction analysis tool. The core problem this indicator solves is that ADX alone tells you trend strength but not direction, while +DI/-DI alone tells you direction but not strength. Traders need both pieces of information together. This indicator addresses that by combining ADX strength classification with directional bias into a single confluence score, making it easy to identify when strong trends exist and which direction they favor. Why These Components Work Together 1. ADX (Average Directional Index) - Measures trend strength regardless of direction. Values above 25 indicate trending; below 20 indicate ranging. 2. +DI (Positive Directional Indicator) - Measures upward price movement strength. 3. -DI (Negative Directional Indicator) - Measures downward price movement strength. 4. Confluence Score - Combines ADX strength with DI bias to create a single actionable metric. The combination works because: ADX filters out ranging markets where DI crossovers produce whipsaws DI relationship provides direction when ADX confirms trend Confluence score simplifies the analysis into one number How the Calculation Works float directionBias = diPlus - diMinus float confluenceScore = (adx / 100) * directionBias The confluence score is positive when +DI > -DI (bullish) and negative when -DI > +DI (bearish), with magnitude scaled by ADX strength. Trend State Classification EXTREME - ADX > 50 (very strong trend) STRONG - ADX 35-50 (strong trend) TRENDING - ADX 25-35 (moderate trend) RANGING - ADX < 25 (no clear trend) Dashboard Information Status - Current trend state (EXTREME/STRONG/TRENDING/RANGING) Direction - BULLISH or BEARISH based on DI relationship ADX - Current ADX value DI Bias - Difference between +DI and -DI Confluence - Combined score with directional context How to Use This Indicator For Trend Following: 1. Wait for ADX to show TRENDING or higher 2. Check direction matches your trade bias 3. Enter on pullbacks when confluence remains positive/negative 4. Exit when ADX drops to RANGING For Avoiding Whipsaws: 1. Do not trade DI crossovers when ADX shows RANGING 2. Only trust directional signals when ADX confirms trend 3. Use RANGING periods for mean-reversion strategies instead For Trend Exhaustion: 1. Watch for EXTREME ADX readings 2. Extreme trends often precede reversals 3. Consider taking profits when ADX reaches extreme levels Input Parameters ADX Length (14) - Period for ADX calculation DI Length (14) - Period for directional indicators ADX Smoothing (14) - Smoothing period for ADX Trend Threshold (25) - ADX level for trend confirmation Strong Threshold (35) - ADX level for strong trend Extreme Threshold (50) - ADX level for extreme trend Timeframe Recommendations Daily/4H: Best for swing trading trend analysis 1H: Good for intraday trend following 15m: More signals but requires faster reaction Limitations ADX is a lagging indicator - trends are confirmed after they start DI crossovers can whipsaw even with ADX filter Works best in markets that trend clearly May miss early trend entries due to confirmation requirement Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
CAP - CSICSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." Unlike traditional momentum oscillators, the CSI uses a recursive dual-thrust processor to isolate cyclic price action, helping traders identify hidden rhythms in the market rather than just static overbought or oversold levels. How to Read the Indicator This script focuses on four primary technical components: Dynamic Band Pivots: The indicator calculates a "cyclic memory" (default 34 periods) to create high and low bands. When the CSI moves outside these bands and begins to pivot, it signals a potential cycle exhaustion point. Momentum Slope: The color-coded area fill identifies the direction of the cycle's slope. A change in slope is often the first warning of a cycle peak or trough. The Zero Line: The zero line acts as the "equilibrium" point. Position relative to zero helps define whether the current cycle is in a bullish or bearish regime. Multi-Timeframe Analysis (HTF): The script includes an HTF filter (suggested 5x the chart timeframe) to ensure you are trading in the direction of the dominant macro cycle. Performance & Testing: The "Trending" Challenge This indicator has been developed and tested primarily on Futures (ES, NQ, RTY) and US Equities. Important Note on False Signals: While the CSI "nails" turning points during standard cyclic/swing conditions, users should be aware of "phantom" cycles or false signals during strong trending conditions. In a powerful trend, the indicator may signal a cycle peak while price continues to move linearly, leading to premature exhaustion signals. Filtering these "trend-drifts" is the current focus of development. Community & Collaboration This script is an ongoing project. I am making it public to find like-minded traders interested in Lars von Thienen’s work to: Refine the processor logic for better signal-to-noise ratios during impulsive trends. Discuss the best "Trend Shields" (Volume, HTF, or Volatility filters) to stay in winners longer. Share specific settings for different asset classes in the Futures and Equity markets.
Pine Script®指标
由calinpascual提供
1
JRockets MACDThis is my favorite indicator, that I use as one of my conformations before entering a trade in the 15M timeframe This MACD is tailor made by me to work efficient, consistent, and effectively. I back tested tons of times, it helps if you're entering too early, late and even get faked out. The MACD is by far my favorite and one and only indicator, and here's why. The MACD contains 2 EMA lines where it gives me a signal on when to buy or sell. If the Blue line crosses the red line on the bottom of the indicator its giving buy signals as long as the blue line stays on top, and when the red line crosses the blue line on top of the indicator its giving sell signals as long as the redline stay on top. Be sure to pay attention to the candle stick patterns as well and has to be around key levels. What makes this a better signal as well, the MACD has a built-in momentum hologram, some see it as overbought/undersold, or volume indicator. By combining the momentum hologram with your buy/sell ema will prevent you from entering a trade in the wrong area. The momentum hologram is almost self-explanatory, when there is buying pressure, the hologram turns blue, the darker the blue the stronger the momentum as well as the length of the hologram, once is start losing momentum it starts to turn to a lighter blue. Eventually a light red to a solid red showing momentum for a strong sell, this works vice versa. Combing all that at once and built instincts it becomes very effective. You can also use the EMA signals as divergence, but I don't really trade with divergence but could possibly give you conformation. Using the MACD is like having 3-4 indicators in one with all of them working fluent together. I have the MACD locked on the 15M timeframe because that's where it works more accurately. You can make the EMA lines a bit thicker to be easier to see. I would change the MACD visible for the 15M timeframe only or 1M to 1H timeframe. I hope this indicator helps you, as it did for me. You can simply click add on your charts on the top left to get this free indicator. Peace out and enjoy! Be sure to share, this indicator with your friends as it may help someone out.
Pine Script®指标
由JRockets提供
15
Eclipse Multi-Oscillator [JOAT]Eclipse Multi-Oscillator - Unified Momentum Confluence System Introduction and Purpose Eclipse Multi-Oscillator is an open-source indicator that combines four classic oscillators (RSI, Stochastic, CCI, and Williams %R) into a single unified view with confluence detection. The core problem this indicator solves is oscillator disagreement: traders often see RSI oversold while Stochastic is neutral, or CCI overbought while Williams %R is mid-range. This creates confusion about the true momentum state. This indicator addresses that by displaying all four oscillators together and counting how many agree on overbought or oversold conditions, providing a clear confluence score that cuts through the noise. Why These Four Oscillators Work Together Each oscillator measures momentum differently, and their combination provides a more complete picture: 1. RSI (Relative Strength Index) - Measures the magnitude of recent price changes. Best at identifying momentum exhaustion. 2. Stochastic - Compares closing price to the high-low range. Best at identifying where price is within its recent range. 3. CCI (Commodity Channel Index) - Measures price deviation from statistical mean. Best at identifying unusual price movements. 4. Williams %R - Similar to Stochastic but inverted. Provides confirmation of Stochastic readings. When 3 or more of these oscillators agree on overbought or oversold, the signal is significantly more reliable than any single oscillator alone. How Confluence Scoring Works The indicator counts how many oscillators are in extreme territory: int obCount = 0 if rsi > rsiOB obCount += 1 if stochK > stochOB obCount += 1 if cci > cciOB obCount += 1 if willRScaled > stochOB obCount += 1 bool strongOverbought = obCount >= 3 bool strongOversold = osCount >= 3 The confluence score ranges from -4 (all oversold) to +4 (all overbought), with 0 being neutral. Signal Types Strong Oversold - 3+ oscillators below oversold threshold (potential bounce) Strong Overbought - 3+ oscillators above overbought threshold (potential pullback) OB/OS Exit - RSI leaving extreme zone with Stochastic confirmation (potential reversal) Divergence - Price makes new high/low while RSI does not (potential reversal warning) Dashboard Information RSI/Stoch K/CCI/Will %R - Current values with zone status (OB/OS/MID) Confluence - Overall bias (STRONG OS, STRONG OB, Lean Bull/Bear, Neutral) OB Count - How many oscillators are overbought (0-4) OS Count - How many oscillators are oversold (0-4) How to Use This Indicator For Reversal Trading: 1. Wait for Strong Oversold (3+ oscillators agree) 2. Look for bullish candlestick pattern or support level 3. Enter long with stop below recent low 4. Take profit when confluence returns to neutral or overbought For Trend Confirmation: 1. Check confluence direction matches your trade bias 2. Avoid longs when confluence is strongly overbought 3. Avoid shorts when confluence is strongly oversold For Divergence Trading: 1. Watch for "D" labels indicating RSI divergence 2. Bullish divergence at support = potential long 3. Bearish divergence at resistance = potential short Input Parameters RSI Length (14) - Period for RSI calculation Stochastic K/D Length (14/3) - Periods for Stochastic CCI Length (20) - Period for CCI Williams %R Length (14) - Period for Williams %R OB/OS Thresholds - Customizable levels for each oscillator Timeframe Recommendations 15m-1H: Good for intraday momentum analysis 4H-Daily: Best for swing trading confluence Very short timeframes may produce noisy signals Limitations All oscillators can remain in extreme territory during strong trends Confluence does not predict direction, only identifies extremes Divergence detection is simplified and may miss some patterns Works best in ranging or moderately trending markets Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied. This indicator does not constitute financial advice. Oscillator confluence does not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Apex Adaptive TrailApex Adaptive Trail: Adaptive Volatility Trend System This custom trend-following indicator improves on standard SuperTrend implementations by addressing two key weaknesses: excessive whipsaws during high volatility and false signals in ranging markets. Core Logic: - Synthetic Heikin Ashi values are calculated internally (without changing chart candles) to provide smoother source data for trend detection. - ATR-based trailing stop with adaptive multiplier: dynamically adjusts between 0.8x and 1.5x the base factor based on current volatility (ATR / 50-period SMA of ATR). Widens in volatile conditions, tightens in quiet markets. - Weighted Confluence Score (0-100%): Combines four independent filters, each contributing 25%: • Price position relative to 21-period EMA (trend alignment) • ADX > 20 (momentum strength) • Choppiness Index < 60 (trending vs ranging detection) • Alignment with Daily EMA(50) trend direction Signals are only generated when price crosses the adaptive trail AND the confluence score exceeds 75% (standard) or 90% (MAX 🔥 ultra-strong). This combination significantly reduces low-quality entries compared to traditional SuperTrend crossovers. Key Features: - Dynamic confidence cloud (opacity based on score) - Real-time dashboard showing volatility state, active filters, trend bias, and estimated historical win rate - Optional dynamic/fixed profit targets - Fully customizable filters and adaptive behavior Usage: Best on 15m to 4H timeframes for trend-following strategies (Crypto, Forex, Indices). Enter on APEX signals, use trail as stop-loss, TP lines for partial exits. This script integrates established concepts into a unique adaptive framework with volatility-responsive risk management and multi-filter validation. Disclaimer: For educational and analysis purposes only. Past performance is not indicative of future results. Always use proper risk management. "This script combines established indicators (ATR trailing, ADX, Choppiness Index, EMA, MTF) into a unique adaptive system with dynamic volatility adjustment and weighted confluence scoring – features not found together in standard SuperTrend variations."
Pine Script®指标
由mentalExpert19609提供
6