Mulakan

Moving Averages

EMA 9/20 Crossover AlertThis EMA 9/20 Crossover Alert indicator is a technical tool used on price charts to detect and notify traders when the short-term 9-period Exponential Moving Average (EMA) crosses above or below the longer-term 20-period EMA. This crossover often signals potential shifts in market momentum, signaling possible buy or sell opportunities. The indicator visually plots both EMAs on the chart and creates alert conditions so traders can be promptly informed of these crossover events, aiding in timely decision-making without needing to constantly watch the chart. It is widely used in momentum and trend-following trading strategies to identify trend reversals or continuations
Penunjuk Pine Script®
oleh AviramRam
Market GoatFuel v1Market GoatFuel is an all-in-one trading tool designed to provide a clear, confluence-based view of the market. Its primary goal is to filter out the noise typical of lower timeframes and present only high-probability momentum signals. By layering multiple validation criteria, it ensures that a trade signal is only generated when the trend, momentum, and volume are in alignment. Key Features Multi-Layered Trend Analysis: Utilizes a customizable MA Cloud and a Higher-Timeframe (HTF) EMA to establish the dominant trend direction. Trades are only considered in alignment with this trend. Dual RSI Momentum Engine: A fast RSI (default 9) detects the initial burst of momentum, while a slower RSI (default 21) confirms its sustainability. This dual-check prevents entries on weak or temporary moves. Advanced Signal Filtering: A signal is only confirmed if the momentum conditions are met for two consecutive bars, effectively filtering out false signals from single-bar spikes. Higher Timeframe Confluence: In addition to the HTF EMA, the script also checks that the RSI on the higher timeframe is aligned with the trade direction, ensuring you are trading with the dominant momentum. Volume Validation: Every signal is cross-referenced with volume. A signal is only considered valid if volume is above its moving average, confirming there is conviction behind the price action. Clean & Customizable Visuals: Features clean up/down arrows for trade signals, with optional background coloring and volume-based bar coloring to provide a full market snapshot at a glance.
Penunjuk Pine Script®
oleh AngeloDirksz
EMAs 20 - 40 - 100 - 200 This script contains the 20-40-100-200 EMAs. EMA (Exponential) Best for active or short-term trading because: It adjusts more quickly to recent price changes. It allows for earlier detection of trend reversals. It is preferred by traders who trade calls and puts for a few days or weeks. Example: On 15-minute, 1-hour, or daily time frames, the 20-EMA or 40-EMA gives you early signals to open or close options. It is good for momentum trades or quick breakouts.
Penunjuk Pine Script®
oleh romina_paz_
Tight Entry Trend Engine Strategy═══════════════════════════════════════ TIGHT ENTRY TREND ENGINE ═══════════════════════════════════════ A breakout-based trend-following system designed to capture explosive moves by entering at precise resistance/support breakouts with minimal entry risk and massive profit potential. ⚠️ LOW WIN RATE, HIGH REWARD SYSTEM ⚠️ This is NOT a high win-rate strategy. Expect 25-35% winners, but when it hits, winners are typically 10X+ larger than losers. ═══════════════════════════════════════ 🎯 WHAT THIS SYSTEM DOES ═══════════════════════════════════════ The Tight Entry Trend Engine identifies powerful breakout opportunities by detecting when price breaks through established trendlines with confirmation from higher timeframe trends: 1. DYNAMIC TRENDLINE DETECTION (3 BANKS) • Automatically draws support and resistance trendlines • 3 separate "banks" capture short-term, medium-term, and long-term levels • Each bank has configurable parameters (required pivot touch count, angle limits, lengths) 2. BREAKOUT ENTRY TIMING • Enters LONG when price breaks ABOVE resistance trendlines • Enters SHORT when price breaks BELOW support trendlines • Entry Alert occurs at the exact moment of breakout = "tight entry" • Stop-loss placed just below/above the broken trendline (configurable) 3. HIGHER TIMEFRAME TREND FILTER • Uses Hull Moving Average (HMA) on higher timeframe for trend following • Auto-adjusts HTF based on your chart timeframe • Optional filters prevent entries against major trend • Optional "overextension" filter avoids buying parabolic moves 4. VOLATILITY-ADAPTIVE RISK MANAGEMENT • Stop-loss calculated using Average True Range (ATR) • Tighter stops = better R:R • Profit targets adjust dynamically with volatility • Breakeven stop moves automatically when in profit • Extended profit targets when far from HTF trend ═══════════════════════════════════════ 📊 HOW IT WORKS (METHODOLOGY) ═══════════════════════════════════════ STEP 1: TRENDLINE FORMATION The system continuously scans for pivot highs and pivot lows to construct trendlines. You control: BANK 1 (Short-Term): - Pivot Length: How many bars to look back for swing points - Min Touches: How many pivots needed to form a line (default: 3) - Max Length: How far back lines can reach (default: 180 bars) - Angle Limits: Maximum steepness allowed for valid trendlines - Tolerance: How close pivots must align to form horizontal lines BANK 2 (Medium-Term): - Slightly longer pivot periods for more significant levels - Captures medium-term trend structure - Default Max Length: 200 bars BANK 3 (Long-Term): - Focuses on major support/resistance zones - Often uses horizontal levels (angled lines disabled by default) - Default Max Length: 300 bars The system draws RESISTANCE lines (red) above price and SUPPORT lines (green) below price. These adapt in real-time as new pivots form. STEP 2: BREAKOUT DETECTION LONG SIGNALS: - Price closes above a resistance trendline - Higher timeframe trend is up (optional filter) - Price not overextended from HTF trend (optional filter) - No position currently open SHORT SIGNALS: - Price closes below a support trendline - Higher timeframe trend is down (optional filter) - Price not overextended from HTF trend (optional filter) - No position currently open The "tight" aspect: Because you're entering right at the trendline break, your stop-loss can be placed very close (just below the broken resistance for longs), creating exceptional risk/reward ratios. STEP 3: POSITION SIZING Choose between: - Fixed $ Risk Per Trade: Risk same dollar amount every trade - % Risk Per Trade: Risk percentage of current equity Position size automatically calculated based on: - Your risk amount - Distance to stop-loss (ATR-based) - Works with stocks, futures, crypto (auto-adjusts for contract multipliers) STEP 4: EXIT MANAGEMENT Multiple exit methods working together: - PROFIT TARGET: Exits when profit reaches 100x your risk - EXTENDED PROFIT: Earlier exit (80R) when very far from HTF trend - STOP LOSS: Fixed ATR-based stop below entry - HTF TREND EXIT: Exits when price crosses below HTF trend with profit - BREAKEVEN PULLBACK: Exits if profit drops below 0.6R after reaching breakeven - PARTIAL PROFITS: Optional - take partial profits at specified R-multiple ═══════════════════════════════════════ 🔧 KEY COMPONENTS EXPLAINED ═══════════════════════════════════════ HULL MOVING AVERAGE (HMA) A smoothed moving average that reduces lag compared to traditional MAs. The system uses HMA on a higher timeframe to determine the dominant trend direction. You can choose: - Auto HTF: System picks appropriate HTF based on your chart timeframe - Manual HTF: You specify the higher timeframe AVERAGE TRUE RANGE (ATR) Measures current market volatility. Used for: - Stop-loss distance (tighter when volatility low) - Profit targets (larger when volatility high) - Position sizing (smaller positions in volatile conditions) - Breakeven trigger distance TRENDLINE ANGLE FILTERING Each trendline bank has angle limits to ensure quality: - Resistance lines: Max downward/upward slope allowed - Support lines: Max downward/upward slope allowed - Angles automatically adjust based on current volatility - Prevents overly steep/unreliable trendlines SENSITIVITY CONTROL One master slider adjusts multiple parameters: - Trendline detection sensitivity - HTF MA length - Exit timing - Auto-adjusts for daily+ timeframes (60% increase) ═══════════════════════════════════════ ⚙️ WHAT YOU SEE ON YOUR CHART ═══════════════════════════════════════ TRENDLINES: ✓ Red resistance lines above price ✓ Green support lines below price ✓ Orange broken lines (past breakouts) ✓ Lines extend to show current levels HTF TREND: ✓ Thick colored line showing higher timeframe trend ✓ Color gradient: Red (bearish) → Orange → Yellow → Green (bullish) ✓ 250-bar smoothed curve for visual clarity ENTRY/EXIT SIGNALS: ✓ Small green dot below bar = Long entry ✓ Small red dot above bar = Short entry ✓ Small red dot above = Long exit ✓ Small black dot below = Short exit OPTIONAL DETAILED LABELS: ✓ Bank number that triggered entry (Bank 1, 2, or 3) ✓ Exit reason (Profit Target, Stop Loss, HTF Exit, etc.) ✓ Partial profit notifications POSITION TRACKING: ✓ Yellow dashed line at entry price (extends right) ✓ Green/red fill showing current profit/loss zone ✓ Lime arrows at top = Currently in long position ✓ Red arrows at bottom = Currently in short position ✓ Gray background = No position (flat) STATS TABLE (Top Right): ✓ Current position (LONG/SHORT/FLAT) ✓ Risk per trade ($ or %) ✓ Entry price ✓ Unrealized P/L in dollars ✓ P/L in R-multiples (how many R's profit/loss) ✓ Average winner/loser R ($ mode) OR CAGR (% mode) ═══════════════════════════════════════ 📈 OPTIMAL USAGE ═══════════════════════════════════════ BEST ASSETS: - NASDAQ:QQQ on 1-hour (reg) chart ⭐ (PRIMARY OPTIMIZATION) - Strong trending stocks: NVDA, AAPL, TSLA, MSFT, GOOGL, AMZN - High volatility tech stocks - Crypto: BTC, ETH - Any liquid asset with clear trends and momentum (GOLD) AVOID: - Low volatility stocks - Ranging/choppy markets - Penny stocks or illiquid assets - Assets without clear directional movement BEST TIMEFRAMES: - PRIMARY: 1-hour charts (optimal for QQQ) - ALSO EXCELLENT: 2H, 4H, 8H - WORKS: 15min, 30min (only momentum leaders, more noise) - WORKS WITH ADJUSTMENTS: 1D, 2D (decrease trendline pivot lengths) ═══════════════════════════════════════ 📊 BACKTEST RESULTS (QQQ 1H (Reg hours), 1999-2024) ═══════════════════════════════════════ The system showed on NASDAQ:QQQ 1-hour timeframe (regular hours): - Total Return: 1,100,000%+ over 24 years - Total Trades: 500+ - Win Rate: ~20-24% (LOW - this is by design!) - Average Winner: 8-15% gain - Average Loser: 2-4% loss - Win/Loss Ratio: 10:1 (winners much bigger than losers) - Profit Factor: 3+ - Max Drawdown: 45-50% - Risk per trade: 3% of capital KEY INSIGHT: This is a LOW WIN RATE, HIGH REWARD system. You will lose more trades than you win, but the few winners are so large they more than compensate for many small losses. IMPORTANT: These are backtested results using optimal parameters on historical data. Real trading results will vary based on: - Your execution and timing - Slippage and commissions - Your emotional discipline - Market conditions during your trading period ═══════════════════════════════════════ 🎓 WHO IS THIS FOR? ═══════════════════════════════════════ IDEAL FOR: ✓ Swing traders comfortable holding winners for longer period ✓ Part-time traders (1H = check 2-3x per day) ✓ Traders seeking exceptional risk/reward ratios ✓ Those comfortable with low win rates if winners are huge ✓ Technical analysis enthusiasts ✓ Breakout traders ✓ Trend followers ═══════════════════════════════════════ 🚀 GETTING STARTED - STEP BY STEP ═══════════════════════════════════════ STEP 1: APPLY TO YOUR CHART - Search "Tight Entry Trend Engine" in indicators - Click to apply to your chart - Trendlines and HTF line will appear immediately STEP 2: CHOOSE YOUR SETTINGS For BEGINNERS - Use These Settings First: 1. Trade Direction & Filters: • ENABLE LONGS: ✓ ON • ENABLE SHORTS: ✗ OFF (start with longs only) • Sensitivity: 1.0 (default) • HTF Trend Entry Filter: ✓ ON (safer entries) • Block Entries When Overextended: ✓ ON (avoid parabolic tops) 2. Position Sizing & Risk: • Position Sizing: "Per Risk" • RISK Type: "$ Per Trade" • Risk Amount: $200 (or 1-3% of your account) 3. Visual Settings: • Show Support Lines: ✗ OFF (unless trading shorts) • Show Detailed Entry/Exit Labels: ✓ ON • Show Stats Table: ✓ ON • Show Entry Line & P/L Fill: ✓ ON 4. Leave everything else at DEFAULT for now STEP 3: UNDERSTAND WHAT YOU SEE When trendlines appear: - RED lines above = Resistance (watch for price breaking UP through these) - GREEN lines below = Support (watch for price breaking DOWN) - When price breaks a red line = Potential LONG entry - When price breaks a green line = Potential SHORT entry The HTF trend line (thick colored): - Green/lime = Strong uptrend (favorable for longs) - Red = Strong downtrend (favorable for shorts if enabled) - Orange/yellow = Transitioning STEP 4: OBSERVE SIGNALS - Small GREEN dot below bar = System entered LONG - Small RED dot above bar = System exited LONG - Check the label to see which "Bank" triggered (Bank 1, 2, or 3) - Watch the yellow entry line and colored fill show your P/L STEP 5: PAPER TRADE FIRST - Use TradingView's paper trading feature - Watch how signals perform on YOUR chosen asset - Understand the win rate will be LOW (20-35%) - Verify that winners are indeed much larger than losers - Test for at least 20-30 signals before going live STEP 6: OPTIMIZE FOR YOUR ASSET (OPTIONAL) If default settings aren't working well: For FASTER signals (more trades): - Reduce Pivot Length 1 to 3-4 - Reduce Max Length 1 to 120-150 - Increase Sensitivity to 1.2-1.5 For SLOWER signals (higher quality): - Increase Pivot Length 1 to 7-10 - Increase Max Length 1 to 250+ - Decrease Sensitivity to 0.7-0.9 For DAILY timeframes: - Increase all Pivot Lengths by 30-50% - Increase all Max Lengths significantly - Sensitivity: 0.6-0.8 ═══════════════════════════════════════ ⚙️ ADVANCED SETTINGS EXPLAINED ═══════════════════════════════════════ TRENDLINE BANK SETTINGS: Each bank (1, 2, 3) has these parameters: - Min Touches: Minimum pivots to form a line - Lower (2) = More lines, earlier detection - Higher (4+) = Fewer lines, higher quality - Pivot Length: Lookback for swing points - Lower (3-5) = Reacts to recent price action - Higher (10+) = Only major swing points - Max Length: How old a trendline can be - Shorter (100-150) = Only recent lines - Longer (300+) = Include historical levels - Tolerance: Alignment strictness for horizontal lines - Lower (3.0-3.5) = Very strict horizontal - Higher (4.5+) = More forgiving alignment - Allow Angled Lines: Enable diagonal trendlines - ON = Catches sloped support/resistance - OFF = Only horizontal levels - Angle Limits: Maximum steepness allowed - Lower (1-2) = Only gentle slopes - Higher (4-6) = Accept steeper angles - Automatically adjusts for volatility ATR MULTIPLIERS: - STOP LOSS ATR (0.6): Distance to stop-loss - Lower (0.4-0.5) = Tighter stops, stopped out more - Higher (0.8-1.0) = Wider stops, more room - PROFIT TARGET ATR (100): Main profit target - This is 100x your risk = 10,000% R:R - Lower (50-80) = Take profits sooner - Higher (120+) = Let winners run longer - BREAKEVEN ATR (40): When to move stop to breakeven - Lower (20-30) = Protect profits earlier - Higher (60+) = Give more room before protecting HIGHER TIMEFRAME: - Auto HTF: Automatically selects appropriate HTF - 5min chart → uses 2H - 15-30min → uses 6H - 1-4H → uses 2D - Daily → uses 4D - HTF MA Length (300): HMA period for trend - Lower (150-250) = More responsive - Higher (400-500) = Smoother, less whipsaw - HTF Trend Following Exit: Exits when crossing HTF - ON = Additional exit method - OFF = Rely only on profit targets/stops - HTF Trend Entry Filter: Only trade with HTF trend - ON = Safer, fewer signals - OFF = More aggressive, more signals - Block Entries When Overextended: Prevents chasing - ON = Avoids parabolic tops/bottoms - OFF = Enter all breakouts regardless ═══════════════════════════════════════ 💡 TRADING PHILOSOPHY & EXPECTATIONS ═══════════════════════════════════════ This system is built on one core principle: "ACCEPT SMALL, FREQUENT LOSSES TO CAPTURE RARE, MASSIVE WINS" What this means: - You WILL lose 65%-75% of your trades - Most losses will be small (1-2R) - Some winners hit 80R+ - Over time, math works in your favour
Strategi Pine Script®
oleh trend-wolf
TF weekly System 1 — Weekly Trend Flip Indicator System 1 (Weekly) is a simple trend-following indicator that uses weekly EMAs with ATR filtering to highlight strong directional shifts. 📈 Uses weekly fast & slow EMAs 🧭 ATR filter removes weak or choppy signals 🟢 Bullish regime = fast EMA above slow + ATR margin 🔴 Bearish regime = fast EMA below slow − ATR margin ⚪ Neutral when neither condition is met Works on any chart timeframe, but signals are based on weekly data Ideal for position traders and longer-term swing trading 💡 Tip: Use this indicator to confirm larger trend direction and combine with lower timeframe strategies for entry timing.
Penunjuk Pine Script®
oleh samgeurts
Final trend following weeklySystem 1 — Weekly Trend Flip Indicator System 1 (Weekly) is a simple trend-following indicator that uses weekly EMAs with ATR filtering to highlight strong directional shifts. 📈 Uses weekly fast & slow EMAs 🧭 ATR filter removes weak or choppy signals 🟢 Bullish regime = fast EMA above slow + ATR margin 🔴 Bearish regime = fast EMA below slow − ATR margin ⚪ Neutral when neither condition is met Works on any chart timeframe, but signals are based on weekly data Ideal for position traders and longer-term swing trading 💡 Tip: Use this indicator to confirm larger trend direction and combine with lower timeframe strategies for entry timing.
Penunjuk Pine Script®
oleh samgeurts
Trend following system WeeklySystem 1 — Weekly Trend Flip Strategy System 1 (Weekly) is a trend-following strategy designed to trigger only on weekly timeframe signals. It aims to catch clean trend shifts and avoid lower-timeframe noise. Uses fast and slow EMAs with ATR filtering to detect strong weekly momentum Enters long on a bullish flip of the EMAs Exits on a bearish flip or neutral zone (optional) Ideal for position traders, swing traders, and investors who want fewer, higher-quality signals Signals are generated only on weekly candle closes 📊 Tip: This strategy works best on assets with clear medium-term trends. You can use it alongside daily or intraday systems for additional confirmation.
Strategi Pine Script®
oleh samgeurts
ADX-DEMA-KAMA StrategyThis is a trend-following indicator that combines three technical tools: DEMA (Double Exponential Moving Average) - Fast-responding trend line KAMA (Kaufman's Adaptive Moving Average) - Adaptive trend line that adjusts to market volatility ADX (Average Directional Index) with DI+/DI- - Measures trend strength and direction How it works: Buy Signal: DEMA crosses above KAMA when ADX is rising and DI+ > DI- Sell Signal: DEMA crosses below KAMA when ADX is rising and DI- > DI+ The indicator displays both moving averages on the chart, plots buy/sell arrows, and shows a status table with current values. It only triggers trades when there's strong trend confirmation from all three components.RetryClaude can make mistakes. Please double-check responses.
Penunjuk Pine Script®
oleh jazzwolf99
Trend following system with ADR and volumeSystem 1 — Trend Flip Strategy System 1 is a simple trend-following strategy that enters on a bullish EMA flip and exits when the trend weakens or reverses. It’s built to catch clean moves and avoid chop. Uses fast and slow EMAs with ATR filtering to detect real momentum Enters long on a bullish flip Exits on a bearish flip or neutral zone (optional) Clear signals with easy-to-read entry and exit markers Great for trending markets and momentum setups Tip: Test across multiple timeframes and pair with volume or higher-timeframe confluence for stronger signals.
Penunjuk Pine Script®
oleh samgeurts
Trend system🧭 System 1 – Trend Flip Strategy System 1 is a simple yet powerful EMA-based strategy designed to capture early trend flips using volatility-adjusted signals. It works best on trending markets and aims to get you positioned early in the move while avoiding chop when the market is neutral. 📊 Core Logic Uses a fast EMA and slow EMA to define market structure. Applies an ATR-based margin to filter out noise and identify true bullish or bearish momentum shifts. Generates a one-shot long entry when the market flips bullish. Closes the position either on a bearish flip or optionally on neutral signals for a cleaner exit. ⚙️ Key Features 🟢 Trend confirmation with EMA + ATR margin 🪄 One-shot entries – only enters when flat and a clean flip occurs 🚪 Configurable exits – choose to exit on trend reversal or neutrality 🧭 Clear visual cues – color-coded EMA bands and entry/exit markers 📬 Custom alert messages – ready for webhook automation or bot integration 🧠 Why It May Be Useful Great for momentum traders looking to enter early on trend shifts. ATR filtering helps avoid false signals during choppy conditions. Minimal parameters make it easy to optimize across multiple markets and timeframes. Useful for systematic strategy builders as a core trend-following module. Compatible with automation and alerts, making it suitable for both discretionary and systematic approaches. 📌 Tip: For best results, test across multiple timeframes and assets. Consider pairing with volume or higher-timeframe confluence to improve selectivity.
Strategi Pine Script®
oleh samgeurts
Relative Strength Peers -> PROFABIGHI_CAPITAL🌟 Overview This indicator evaluates relative strength among a customizable group of assets by comparing their smoothed RSI values, identifying outperformers and underperformers through a scoring matrix. It generates visual tables to rank assets based on peer performance, aiding traders in spotting momentum leaders for potential allocation or rotation strategies. ⚙️ Settings - Adjustable number of assets for analysis, balancing depth with performance - RSI calculation period for momentum sensitivity - Primary moving average type and length for initial RSI smoothing - Optional secondary moving average type and length for advanced comparison - Toggle for dual moving average scoring versus threshold-based evaluation - Volatility lookback for adaptive smoothing in variable market conditions - Table customization options like text size, header visibility, and input summaries - Highlighting preferences for trends, top performers, and visual emphasis methods - Enable/disable switches for RSI computations, table displays, and asset inputs 📊 Data Acquisition & Preparation - Fetches real-time closing prices from selected asset tickers using security requests - Cleans ticker symbols by removing exchange prefixes for consistent labeling - Limits analysis to specified asset count to optimize processing speed - Stores prices in dedicated variables per asset for efficient relative calculations - Validates data integrity by detecting constant or invalid sources - Builds an array of user-defined assets, supporting up to 40 cryptocurrency pairs - Updates prices only on confirmed bars to ensure reliable historical alignment 📈 RSI Smoothing & Scoring Logic - Computes base RSI on asset prices normalized against each peer for relative momentum - Applies user-selected smoothing to RSI using various moving average methods - Supports simple averages like SMA and EMA for basic trend filtering - Includes advanced options such as HMA for reduced lag and VIDYA for volatility adaptation - Handles double smoothing with optional second MA for crossover-based signals - Assigns binary scores: outperforming (1) if smoothed RSI exceeds neutral threshold or faster MA leads slower one - Aggregates scores across all peers into per-asset totals for overall strength ranking - Ranks assets by descending sum, with ties preserved in top performer lists 📋 Matrix & Ranking Computation - Constructs a comprehensive score matrix comparing each asset against every other - Populates rows and columns with directional indicators for quick outperformance scans - Sums row values to quantify an asset's dominance over the peer group - Derives ranks through pairwise comparisons, prioritizing higher total scores - Manages ties in rankings to ensure fair representation in leaderboards - Combines matrix data into a flattened array for efficient table rendering - Filters computations to active asset count, avoiding unnecessary overhead 📉 Visualization - Renders a main table as a heatmap-style matrix with rocket (🚀) for outperformance and down arrow (📉) for underperformance - Displays asset labels along axes, with diagonal blanks to avoid self-comparisons - Includes summary columns for total scores and final ranks, with optional gradient highlighting - Positions a compact top assets table in the upper right, listing leaders with points allocation - Customizes appearance via text sizing, background/text emphasis, and header toggles - Shows input parameters summary row for quick reference without menu access - Updates visuals only on the last bar for real-time relevance without repainting 🛠 Performance & Customization - Conditional enabling of features like RSI analysis to reduce computational load - Modular functions for price fetching, smoothing, and scoring to enhance maintainability - Array-based storage for scalable handling of up to 40 assets without code bloat - Inline options for MA configurations to streamline user interface - Tooltip guidance on each input for contextual help during setup - Fixed table positions (bottom center for main, top right for leaders) for consistent viewing - Handles edge cases like zero volatility or missing data with fallback logic ✅ Key Takeaways - Delivers peer-relative momentum insights through RSI-driven scoring and visual matrices - Flexible smoothing and dual-MA modes adapt to diverse trading styles and sensitivities - Prioritizes top performers with ranked tables, easing asset rotation decisions - Optimizes for performance with toggles and limits, suitable for live trading dashboards - Combines quantitative ranks with intuitive symbols for rapid market scanning
Penunjuk Pine Script®
oleh PROFABIGHI_CAPITAL
Kalman Filter [DCAUT]█ Kalman Filter 📊 ORIGINALITY & INNOVATION The Kalman Filter represents an important adaptation of aerospace signal processing technology to financial market analysis. Originally developed by Rudolf E. Kalman in 1960 for navigation and guidance systems, this implementation brings the algorithm's noise reduction capabilities to price trend analysis. This implementation addresses a common challenge in technical analysis: the trade-off between smoothness and responsiveness. Traditional moving averages must choose between being smooth (with increased lag) or responsive (with increased noise). The Kalman Filter improves upon this limitation through its recursive estimation approach, which continuously balances historical trend information with current price data based on configurable noise parameters. The key advancement lies in the algorithm's adaptive weighting mechanism. Rather than applying fixed weights to historical data like conventional moving averages, the Kalman Filter dynamically adjusts its trust between the predicted trend and observed prices. This allows it to provide smoother signals during stable periods while maintaining responsiveness during genuine trend changes, helping to reduce whipsaws in ranging markets while not missing significant price movements. 📐 MATHEMATICAL FOUNDATION The Kalman Filter operates through a two-phase recursive process: Prediction Phase: The algorithm first predicts the next state based on the previous estimate: State Prediction: Estimates the next value based on current trend Error Covariance Prediction: Calculates uncertainty in the prediction Update Phase: Then updates the prediction based on new price observations: Kalman Gain Calculation: Determines the weight given to new measurements State Update: Combines prediction with observation based on calculated gain Error Covariance Update: Adjusts uncertainty estimate for next iteration Core Parameters: Process Noise (Q): Represents uncertainty in the trend model itself. Higher values indicate the trend can change more rapidly, making the filter more responsive to price changes. Measurement Noise (R): Represents uncertainty in price observations. Higher values indicate less trust in individual price points, resulting in smoother output. Kalman Gain Formula: The Kalman Gain determines how much weight to give new observations versus predictions: K = P(k|k-1) / (P(k|k-1) + R) Where: K is the Kalman Gain (0 to 1) P(k|k-1) is the predicted error covariance R is the measurement noise parameter When K approaches 1, the filter trusts new measurements more (responsive). When K approaches 0, the filter trusts its prediction more (smooth). This dynamic adjustment mechanism allows the filter to adapt to changing market conditions automatically, providing an advantage over fixed-weight moving averages. 📊 COMPREHENSIVE SIGNAL ANALYSIS Visual Trend Indication: The Kalman Filter line provides color-coded trend information: Green Line: Indicates the filter value is rising, suggesting upward price momentum Red Line: Indicates the filter value is falling, suggesting downward price momentum Gray Line: Indicates sideways movement with no clear directional bias Crossover Signals: Price-filter crossovers generate trading signals: Golden Cross: Price crosses above the Kalman Filter line, suggests potential bullish momentum development, may indicate a favorable environment for long positions, filter will naturally turn green as it adapts to price moving higher Death Cross: Price crosses below the Kalman Filter line, suggests potential bearish momentum development, may indicate consideration for position reduction or shorts, filter will naturally turn red as it adapts to price moving lower Trend Confirmation: The filter serves as a dynamic trend baseline: Price Consistently Above Filter: Confirms established uptrend Price Consistently Below Filter: Confirms established downtrend Frequent Crossovers: Suggests ranging or choppy market conditions Signal Reliability Factors: Signal quality varies based on market conditions: Higher reliability in trending markets with sustained directional moves Lower reliability in choppy, range-bound conditions with frequent reversals Parameter adjustment can help adapt to different market volatility levels 🎯 STRATEGIC APPLICATIONS Trend Following Strategy: Use the Kalman Filter as a dynamic trend baseline: Enter long positions when price crosses above the filter Enter short positions when price crosses below the filter Exit when price crosses back through the filter in the opposite direction Monitor filter slope (color) for trend strength confirmation Dynamic Support/Resistance: The filter can act as a moving support or resistance level: In uptrends: Filter often provides dynamic support for pullbacks In downtrends: Filter often provides dynamic resistance for bounces Price rejections from the filter can offer entry opportunities in trend direction Filter breaches may signal potential trend reversals Multi-Timeframe Analysis: Combine Kalman Filters across different timeframes: Higher timeframe filter identifies primary trend direction Lower timeframe filter provides precise entry and exit timing Trade only in direction of higher timeframe trend for better probability Use lower timeframe crossovers for position entry/exit within major trend Volatility-Adjusted Configuration: Adapt parameters to match market conditions: Low Volatility Markets (Forex majors, stable stocks): Use lower process noise for stability, use lower measurement noise for sensitivity Medium Volatility Markets (Most equities): Process noise default (0.05) provides balanced performance, measurement noise default (1.0) for general-purpose filtering High Volatility Markets (Cryptocurrencies, volatile stocks): Use higher process noise for responsiveness, use higher measurement noise for noise reduction Risk Management Integration: Use filter as a trailing stop-loss level in trending markets Tighten stops when price moves significantly away from filter (overextension) Wider stops in early trend formation when filter is just establishing direction Consider position sizing based on distance between price and filter 📋 DETAILED PARAMETER CONFIGURATION Source Selection: Determines which price data feeds the algorithm: OHLC4 (default): Uses average of open, high, low, close for balanced representation Close: Focuses purely on closing prices for end-of-period analysis HL2: Uses midpoint of high and low for range-based analysis HLC3: Typical price, gives more weight to closing price HLCC4: Weighted close price, emphasizes closing values Process Noise (Q) - Adaptation Speed Control: This parameter controls how quickly the filter adapts to changes: Technical Meaning: Represents uncertainty in the underlying trend model Higher values allow the estimated trend to change more rapidly Lower values assume the trend is more stable and slow-changing Practical Impact: Lower Values: Produces very smooth output with minimal noise, slower to respond to genuine trend changes, best for long-term trend identification, reduces false signals in choppy markets Medium Values: Balanced responsiveness and smoothness, suitable for swing trading applications, default (0.05) works well for most markets Higher Values: More responsive to price changes, may produce more false signals in ranging markets, better for short-term trading and day trading, captures trend changes earlier, adjust freely based on market characteristics Measurement Noise (R) - Smoothing Control: This parameter controls how much the filter trusts individual price observations: Technical Meaning: Represents uncertainty in price measurements Higher values indicate less trust in individual price points Lower values make each price observation more influential Practical Impact: Lower Values: More reactive to each price change, less smoothing with more noise in output, may produce choppy signals Medium Values: Balanced smoothing and responsiveness, default (1.0) provides general-purpose filtering Higher Values: Heavy smoothing for very noisy markets, reduces whipsaws significantly but increases lag in trend change detection, best for cryptocurrency and highly volatile assets, can use larger values for extreme smoothing Parameter Interaction: The ratio between Process Noise and Measurement Noise determines overall behavior: High Q / Low R: Very responsive, minimal smoothing Low Q / High R: Very smooth, maximum lag reduction Balanced Q and R: Middle ground for most applications Optimization Guidelines: Start with default values (Q=0.05, R=1.0) If too many false signals: Increase R or decrease Q If missing trend changes: Decrease R or increase Q Test across different market conditions before live use Consider different settings for different timeframes 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Comparison with Traditional Moving Averages: Versus Simple Moving Average (SMA): The Kalman Filter typically responds faster to genuine trend changes Produces smoother output than SMA of comparable length Better noise reduction in ranging markets More configurable for different market conditions Versus Exponential Moving Average (EMA): Similar responsiveness but with better noise filtering Less prone to whipsaws in choppy conditions More adaptable through dual parameter control (Q and R) Can be tuned to match or exceed EMA responsiveness while maintaining smoothness Versus Hull Moving Average (HMA): Different noise reduction approach (recursive estimation vs. weighted calculation) Kalman Filter offers more intuitive parameter adjustment Both reduce lag effectively, but through different mechanisms Kalman Filter may handle sudden volatility changes more gracefully Response Characteristics: Lag Time: Moderate and configurable through parameter adjustment Noise Reduction: Good to excellent, particularly in volatile conditions Trend Detection: Effective across multiple timeframes False Signal Rate: Typically lower than simple moving averages in ranging markets Computational Efficiency: Efficient recursive calculation suitable for real-time use Optimal Use Cases: Markets with mixed trending and ranging periods Assets with moderate to high volatility requiring noise filtering Multi-timeframe analysis requiring consistent methodology Systematic trading strategies needing reliable trend identification Situations requiring balance between responsiveness and smoothness Known Limitations: Parameters require adjustment for different market volatility levels May still produce false signals during extreme choppy conditions No single parameter set works optimally for all market conditions Requires complementary indicators for comprehensive analysis Historical performance characteristics may not persist in changing market conditions USAGE NOTES This indicator is designed for technical analysis and educational purposes. The Kalman Filter's effectiveness varies with market conditions, tending to perform better in markets with clear trending phases interrupted by consolidation. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions, but rather as part of a comprehensive trading approach. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always test thoroughly with different parameter settings across various market conditions before using in live trading. No technical indicator can predict future price movements with certainty, and all trading involves risk of loss.
Penunjuk Pine Script®
oleh DCAUT
RAF@SSET POWER-7 MA SuiteWhat it is A clean, lightweight pack of seven moving averages (1m, 5m, 15m, 1H, 4H, 1D, 1W). HTF lines are confirmed-only (no intra-bar wiggle), so what you see is what closed—no repaint on HTFs. Use it to anchor scalps to higher-timeframe structure without clutter. Why you’ll like it 1m→1W in one look – see alignment from scalp to swing. Confirmed HTFs – uses request.security() with lookahead_off and only plots closed values. Zero fluff – just MAs, fixed colors, ultra-fast. Your presets – default to my “Power-7” lengths (e.g., 233) or set your own. SMA/EMA switch – pick your poison globally. Inputs Show/hide: 1m, 5m, 15m, 1H, 4H, 1D, 1W Length per TF (defaults 233) MA type: SMA / EMA Color per TF How it works (short) Current-TF MA updates live. Higher TF MAs (5m, 15m, 1H, 4H/“240”, 1D, 1W) only update when their candle closes. That removes “wiggle” and surprise shifts. Tips For scalping: trade off LTF, bias from 1H/4H/1D. For swing: let 1D/1W set bias; use 1H/4H for timing. Your current chart TF MA is live (by design). If you want it confirmed too, set your chart to the HTF you care about. Built from my RAF@SSET workflow. Shoutout to everyone who keeps indicators simple and readable. v1.0: First public release (Pine v6). Seven MAs (1m→1W), confirmed HTFs, fixed colors, SMA/EMA toggle.
Penunjuk Pine Script®
oleh Rafaelsilva1
TV_RSI_VNTV_RSI_VN is an advanced RSI-based indicator designed for Vietnamese traders. It enhances the traditional RSI by adding multi-timeframe analysis, signal visualization, and divergence detection. Features: – Multi-timeframe RSI display – RSI-based trend strength and reversal zones – Regular and Hidden Divergence (Bullish/Bearish) – RSI-based Support & Resistance levels – RSI Price Ladder and signal alerts This tool helps traders identify momentum shifts, confirm entries, and analyze market behavior with improved clarity.
Penunjuk Pine Script®
oleh duyman6868
EMA × MOST CrossThe EMA × MOST Cross indicator combines the Exponential Moving Average (EMA) with the Moving Stop (MOST) system to identify early trend reversals and confirm trend continuation phases. MOST acts as a dynamic trailing stop that adapts to price volatility, while EMA provides directional bias and short-term momentum confirmation. A BUY signal is generated when EMA crosses above the MOST line, indicating a possible bullish reversal or trend continuation. A SELL signal is triggered when EMA crosses below the MOST line, suggesting bearish continuation or reversal conditions. The indicator colors bars according to the EMA–MOST relationship to visually represent trend strength: 🟩 Green tones → bullish bias (EMA and price above MOST) 🟥 Red tones → bearish bias (EMA and price below MOST) 🟦 Aqua → neutral phase or transition zone How to use: Works best on trending markets and mid-term timeframes (e.g., 1h, 4h, 1D). Combine it with volume or structure-based confirmations for higher accuracy. Use the built-in parameters to fine-tune sensitivity: MOST MA length: adjusts the responsiveness of the MOST line. MOST percent: defines the offset distance of the stop bands. EMA length: defines the crossover sensitivity. Updated settings: Default MOST Length: 5 Default MOST Percent: 1.5% Concept: This script refines the traditional MOST logic by pairing it with an EMA cross mechanism, aiming to filter false reversals and improve entry timing. It’s designed for traders who prefer clear, visual cross-based trend confirmation while maintaining adjustable flexibility for different instruments.
Penunjuk Pine Script®
oleh venusbtc
5
Global Risk Terminal – Multi-Asset Macro Sentiment IndicatorDescription: The Global Risk Terminal is a sophisticated macro sentiment indicator that synthesizes signals from three key cross-asset relationships to produce a single, actionable risk appetite score. It is designed to help traders and investors identify whether global markets are in a risk-on (growth-seeking) or risk-off (defensive) regime. The indicator analyzes the behavior of commodities, equities, bonds, and currencies to generate a comprehensive view of market conditions. Indicator Output: The Global Risk Terminal produces a normalized risk score ranging from -1 to +1: Positive values indicate risk-on conditions (growth assets favored) Negative values indicate risk-off conditions (safe-haven assets favored) Core Components: Growth Pulse (Copper to Gold Ratio, HG/GC) Purpose: Measures investor preference for industrial growth versus safe-haven assets. Interpretation: Rising ratio → Copper outperforming gold → Risk-on environment Falling ratio → Gold outperforming copper → Risk-off environment Flat ratio → Transitional market phase Technical Implementation: Dual moving average slope method (fast MA default 20, slow MA default 40). Positive slope = +1, negative slope = -1, flat slope = 0 Equity Rotation (Russell 2000 to S&P 500 Ratio, RTY/ES) Purpose: Tracks rotation between small-cap and large-cap equities, revealing market risk appetite. Interpretation: Rising ratio → Small-caps outperforming → Strong risk-on Falling ratio → Large-caps outperforming → Defensive positioning Technical Implementation: Dual moving average slope method (same as Growth Pulse) Flow Gauge (10-Year Treasury to US Dollar Index, ZN/DXY) Purpose: Captures liquidity conditions and cross-asset capital flows. Interpretation: Rising ratio → Treasury prices rising or USD weakening → Liquidity expansion, risk-on environment Falling ratio → Treasury prices falling or USD strengthening → Liquidity contraction, risk-off environment Technical Implementation: Dual moving average slope method Composite Risk Score Calculation: Analyze each component for trend using dual moving averages Assign signal values: +1 (risk-on), -1 (risk-off), 0 (neutral) Average the three signals: Risk Score = (Growth Pulse + Equity Rotation + Flow Gauge) / 3 Optional smoothing with exponential moving average (default 3 periods) to reduce noise Interpreting the Risk Score: +0.66 to +1.0: Full risk-on – favor cyclical sectors, small-caps, growth strategies +0.33 to +0.66: Moderate risk-on – mostly bullish environment, watch for fading momentum -0.33 to +0.33: Neutral/transition – markets in flux, signals mixed, exercise caution -0.66 to -0.33: Cautious risk-off – favor defensive sectors, reduce high-beta exposure -1.0 to -0.66: Full risk-off – strong defensive positioning, prioritize safe-haven assets How to Use the Global Risk Terminal to Frame Trades: Aligning Trades with Market Regime Risk-On (+0.33 and above): Look for buying opportunities in cyclical stocks, high-beta equities, commodities, and emerging markets. Use long entries for swing trades or intraday positions, following confirmed price action. Risk-Off (-0.33 and below): Shift focus to defensive sectors, large-cap quality stocks, U.S. Treasuries, and safe-haven currencies. Prefer short entries or reduced exposure in risky assets. Entry and Exit Framing Use the risk score as a macro filter before executing trades: Example: The risk score is +0.7 (strong risk-on). Prefer long positions in equities or commodities that are showing bullish confirmation on your regular chart. Conversely, if the risk score is -0.7 (strong risk-off), avoid aggressive longs and consider short or defensive trades. Watch for threshold crossings (+/-0.33, +/-0.66) as potential inflection points for adjusting position size, stop-loss levels, or sector rotation. Confirming Trade Decisions Combine the Global Risk Terminal with price action, volume, and trend indicators: If equities rally but the risk score is declining, this may indicate a fragile rally driven by few leaders—trade cautiously. If equities fall but the risk score is rising, consider counter-trend entries or buying dips. Risk Management and Position Sizing Strong alignment across components → increase position size and hold with wider stops Mixed or neutral signals → reduce exposure, tighten stops, or avoid new trades Defensive regimes → rotate into stable, low-volatility assets and increase cash buffer Framing Trades Across Timeframes Use the indicator as a strategic guide rather than a precise timing tool. Even without the MTF table: Daily trend alignment → Guide swing trade bias Shorter timeframe price action → Refine entry points and stop placement Example: Daily chart shows +0.6 risk score → identify high-probability long setups using intraday technical patterns (breakouts, trend continuation). Sector and Asset Rotation Risk-On: Focus on cyclical sectors (financials, industrials, materials, energy), small-caps, high-beta instruments Risk-Off: Focus on defensive sectors (utilities, consumer staples, healthcare), large-caps, safe-haven instruments Alert Integration Set alerts on the risk score to notify you when markets move from neutral to risk-on or risk-off regimes. Use these alerts to plan entries, exits, or portfolio adjustments in advance. Customization Options: Moving Average Length (5–100): Adjust sensitivity of trend detection Score Smoothing (1–10): Reduce noise or see raw risk score Visual Themes: Six preset themes (Cyber, Ocean, Sunset, Monochrome, Matrix, Custom) Display Options: Show or hide component dashboards, main header, risk level lines, gradient fill, and component signals Label Size: Tiny, Small, Normal, Large Alert Conditions: Risk score crosses above +0.66 → Strong risk-on Risk score crosses below -0.66 → Strong risk-off Risk score crosses zero → Neutral line Risk score crosses above +0.33 → Moderate risk-on Risk score crosses below -0.33 → Moderate risk-off Data Sources: HG1! – Copper Futures (COMEX) GC1! – Gold Futures (COMEX) RTY1! – Russell 2000 E-mini Futures (CME) ES1! – S&P 500 E-mini Futures (CME) ZN1! – 10-Year U.S. Treasury Note Futures (CBOT) DXY – U.S. Dollar Index (ICE) Notes and Limitations: Works best during clear macro regimes and aligned trends Use with price action, volume, and other technical tools Not a standalone trading system; serves as a macro context filter Equal weighting assumes all three components are equally important, but market conditions may vary Past performance does not guarantee future results Conclusion: The Global Risk Terminal consolidates complex cross-asset signals into a simple, actionable score that informs market regime, portfolio positioning, sector rotation, and trading decisions. Its user-friendly layout and extensive customization options make it suitable for traders of all experience levels seeking macro-driven insights. By framing trades around risk score thresholds and combining macro context with tactical execution, traders can identify higher-probability opportunities and optimize position sizing, entries, and exits across a wide range of market conditions.
Penunjuk Pine Script®
oleh joeljohnrussell
Daily/Weekly EMAs on Lower TimeframesThis indicator allows traders to view Daily and Weekly EMAs (Exponential Moving Averages) directly on lower timeframes such as 1m, 5m, 15m, or 1h charts — providing a higher timeframe perspective without switching charts. The script includes individual checkboxes for each EMA length — 5, 8, 9, 21, 50, and 200 — organized into two clear sections: 🟢 Daily EMAs 🔵 Weekly EMAs You can selectively enable or disable any EMA to match your trading style and reduce chart clutter. Each EMA is color-coded for clarity and consistency: 5 EMA: Green 8 EMA: Blue 9 EMA: Blue 21 EMA: Orange 50 EMA: Purple 200 EMA: Red Weekly EMAs appear slightly transparent to distinguish them from daily ones. This makes it easy to visualize higher timeframe trend direction, confluence zones, and dynamic support/resistance levels while trading intraday. 💡 Key Features View Daily and Weekly EMAs on smaller timeframes. Individual checkbox toggles for all 6 EMA lengths. Separate sections for Daily and Weekly EMAs. Color-coded lines for easy visual recognition. Works seamlessly on any symbol or timeframe below Daily.
Penunjuk Pine Script®
oleh pavankjadda
2
ZTCRYPTOLAB - SMRT PRICE ACTION • Overlay • Multi-tool Price Action suite A compact, all-in-one price-action assistant that fuses signal generation, dynamic TP/SL visualization, market-structure mapping (internal & external), tight volumetric order blocks with metrics, HTF fair value gaps, MTF previous highs/lows with equilibrium, optional candle/bar coloring. What it does Signal Engine (AI FIlter) Triggers by Flip (trend reversal). Signal tiers: Normal vs Strong (strong = alignment with 200-EMA). Optional bar coloring and marker style (triangles or labels). Dynamic TP/SL + Floating Position Tool Updating Based of AI Filter On each valid buy/sell, the tool locks entry and builds ATR-based SL/TP1–TP3. Visual profit/risk boxes update each bar; right-side badges show live prices (ENTRY, SL, TP1/2/3). Market Structure: Dual streams: Internal (solid) and External (dashed/“+”). Detects CHoCH, BOS, BoS+ with contextual lines/labels. Liquidity sweeps (optional) mark failed breaks with dotted “x”. Swing labels for HH/HL/LL/LH plus Equilibrium line between last HTF swing H/L (with distance % readout). Tight Volumetric Order Blocks Compact OB zones with Body/Wick/Mid/HL2 bounds; Middle or Absolute mitigation logic. Overlap control (hide vs recent/previous), and auto-cleanup of opposite overlaps. Internal metrics: per-box buy/sell “votes”, cumulative volume, and % of total volume for visible OBs. Right extension configurable. Prev Period H/L (MTF) Prior Day / Week / Month / Year highs & lows with user styles. HTF Fair Value Gaps: Detects HTF FVGs (user TF) without lookahead and projects them to chart TF. Shrink-on-close (keeps remainder) and delete-on-fill behavior. Extension modes: Extend, Cap N Bars, or None. Optional internal “FVG” label with fade control and separate bull/bear styling. Automatic trimming to keep only the N most recent boxes. Inputs (highlights) Signals Signal Mode: All / Normal / Strong TP/SL AI POSITION TOOL Enable, R/R (for SL & TP1–TP3) Show/Hide Position tool if you want Market Structure native. How to use Price and TV Position Tool will display once Trend Reversal is confirmed and will Dynamically show Position and update per bar. Choose signal strictness: Strong confines longs above 200-EMA (shorts below), Normal allows earlier entries. Visual trade planning: Enable Position Tool for instant entry/SL/TP scaffolding sized by RR. Adjust RR Multiplier to match pair/volatility. Read the structure map: Internal stream for near-term intent; External for higher-order breaks. Watch CHoCH → BOS → BoS+ progressions. Work OB + FVG confluence: Tight OBs (with internal buy/sell votes) + HTF FVG remnants often frame high-quality retests. Context with MTF H/L & Equilibrium: Premium/discount zones and midline % distance help avoid chasing. Notes & Tips This tool is non-repainting for plotted confirmations (HTF requests use looka head_off), but any live bar is inherently provisional until close. OB mitigation/invalidations can be set to require close or allow wick touches via mitigation settings. For strictness, combine MA filter + Strong signals and favor entries near OB/FVG confluence in discount (for longs) or premium (for shorts). Disclaimer For educational purposes only. Not financial advice. Past performance does not guarantee future results. Always test on a demo and manage risk.
Penunjuk Pine Script®
oleh ZTCRYPTOLAB
Moving Average Ribbon AZlyMoving Average Ribbon AZly The Moving Average Ribbon AZly is a flexible trend-following indicator that visualizes market direction, strength, and transition phases using multiple customizable moving averages. It helps traders instantly identify when short-, medium-, and long-term trends align or diverge. 🔧 How it works Up to six moving averages can be plotted, each with its own: Type (SMA, EMA, SMMA, WMA, VWMA, or HMA) Length, color, and width Custom source input The script also adds adaptive color fills between key pairs: MA1–MA2: short-term momentum MA4–MA5: mid-term bias MA5–MA6: long-term trend Bullish alignment paints green or blue ribbons, while bearish alignment turns them red or pink. The wider the ribbon, the stronger the trend separation. 💡 Why it’s better Unlike typical ribbon indicators, this version offers full per-line customization, adaptive color fills, and a clean, high-contrast design that makes trend shifts instantly recognizable . It’s optimized for clarity, flexibility, and smooth performance on any market or timeframe. 🎯 Trading ideas Trend confirmation: Trade only in the direction of the ribbon (green for long, red for short). Early reversals: Watch for the fastest MAs (MA1–MA2) crossing the mid-term pair (MA4–MA5) as early signals of a trend shift. Momentum compression: When the ribbon narrows or colors alternate rapidly, it signals consolidation or potential breakout zones. Pullback entries: Enter trades when price bounces off the outer ribbon layer in the direction of the dominant trend. Multi-timeframe use: Combine with a higher timeframe ribbon to confirm overall market bias. 📊 Recommended use Works on all markets and timeframes. Ideal for trend-following, swing trading, and visual confirmation of price structure.
Penunjuk Pine Script®
oleh YunakAZly