Bắt đầu

Tìm kiếm tập lệnh với "富时中国50期指"

50-Line Oscillator // (\_/) // ( •.•) // (")_(") 25-Line Oscillator Description: The 25-Line Oscillator is a sophisticated technical analysis tool designed to visualize market trends through the use of multiple Simple Moving Averages (SMAs). This indicator computes a series of 26 SMAs, incrementally increasing the base length, providing traders with a comprehensive view of price dynamics. Features: Customizable Base Length: Adjust the base length of the SMAs according to trading preferences, enhancing versatility for different market conditions. Rainbow Effect: The indicator employs a visually appealing rainbow color scheme to differentiate between the various trend lines, making it easy to identify crossovers and momentum shifts. Crossovers Detection: The script includes logic to detect crossover events between consecutive trend lines, which can serve as signals for potential entry or exit points in trading. Clear Visualization: Suitable for both novice and seasoned traders, the plots enable quick interpretation of trends and market behavior. How to Use: Add the indicator to your chart and customize the base length as desired. Observe the rainbow-colored lines for trend direction. Look for crossover events between the SMAs as potential trading signals. Application: This indicator is particularly useful for swing traders and trend followers who aim to capitalize on market momentum and identify reversals. By monitoring the behavior of multiple SMAs, traders can gain insights into the strength and direction of price movements over various time frames.
Chỉ báo Pine Script®
của FollowtheWhiteRabbitz
50/100/200 Moving Averages (Pine Script For Copy)by fresca SCRIPT LANGUAGE Copy script below and adjust based on your preferences. -function (change function from "sma" to "ema", "wma" and more) -length (25 Day, 150 Day or add more averages to the three in this script.) -color, (red, yellow, etc. or use color hex codes i.e. #FEDA15, #FFAD8F, etc.) -transparency (set to desired level 1-100) Or add more options. RESOURCES Color hex codes site: www.canva.com Trading View Pine Script Editor Reference Guide: www.tradingview.com
Chỉ báo Pine Script®
của manifresca
9
chart Pattern & Candle sticks Strategy# **XAUUSD Pattern & Candle Strategy - Complete Description** ## **Overview** This Pine Script indicator is a comprehensive multi-factor trading system specifically designed for **XAUUSD (Gold) scalping and swing trading**. It combines classical technical analysis methods including candlestick patterns, chart patterns, moving averages, and volume analysis to generate high-probability buy/sell signals with automatic stop-loss and take-profit levels. *** ## **Core Components** ### **1. Moving Average System (Triple MA)** **Purpose:** Identifies trend direction and momentum - **Fast MA (20-period)** - Short-term price action - **Medium MA (50-period)** - Intermediate trend - **Slow MA (200-period)** - Long-term trend direction **How it works:** - **Bullish alignment**: MA20 > MA50 > MA200 (all pointing up) - **Bearish alignment**: MA20 < MA50 < MA200 (all pointing down) - **Crossover signals**: When Fast MA crosses Medium MA, it triggers buy/sell signals - **Choice of SMA or EMA**: Adjustable based on preference **Visual indicators:** - Blue line = Fast MA - Orange line = Medium MA - Light red line = Slow MA - Green background tint = Bullish trend - Red background tint = Bearish trend --- ### **2. Candlestick Pattern Recognition (13 Patterns)** **Purpose:** Identifies reversal and continuation signals based on price action #### **Bullish Patterns (Signal potential upward moves):** 1. **Hammer** 🔨 - Long lower wick (2x body size) - Small body at top - Indicates rejection of lower prices (buyers stepping in) - Best at support levels 2. **Inverted Hammer** - Long upper wick - Small body at bottom - Shows buying pressure despite initial selling 3. **Bullish Engulfing** 📈 - Green candle completely engulfs previous red candle - Strong reversal signal - Body must be 1.2x larger than previous 4. **Morning Star** ⭐ - 3-candle pattern - Red candle → Small indecision candle → Large green candle - Powerful reversal at bottoms 5. **Piercing Line** ⚡ - Green candle closes above 50% of previous red candle - Indicates strong buying interest 6. **Bullish Marubozu** - Almost no wicks (95% body) - Very strong bullish momentum - Body must be 1.3x average size #### **Bearish Patterns (Signal potential downward moves):** 7. **Shooting Star** 💫 - Long upper wick - Small body at bottom - Indicates rejection of higher prices (sellers in control) - Best at resistance levels 8. **Hanging Man** - Similar to hammer but appears at top - Warning of potential reversal down 9. **Bearish Engulfing** 📉 - Red candle completely engulfs previous green candle - Strong reversal signal 10. **Evening Star** 🌙 - 3-candle pattern (opposite of Morning Star) - Green → Small → Large red candle - Powerful top reversal 11. **Dark Cloud Cover** ☁️ - Red candle closes below 50% of previous green candle - Indicates strong selling pressure 12. **Bearish Marubozu** - Almost no wicks, pure red body - Very strong bearish momentum #### **Neutral Pattern:** 13. **Doji** - Open and close nearly equal (tiny body) - Indicates indecision - Often precedes major moves **Detection Logic:** - Compares body size, wick ratios, and position relative to previous candles - Uses 14-period average body size as reference - All patterns validated against volume confirmation *** ### **3. Chart Pattern Recognition** **Purpose:** Identifies major support/resistance and reversal patterns #### **Patterns Detected:** **Double Bottom** 📊 (Bullish) - Two lows at approximately same level - Indicates strong support - Breakout above neckline triggers buy signal - Most reliable at major support zones **Double Top** 📊 (Bearish) - Two highs at approximately same level - Indicates strong resistance - Breakdown below neckline triggers sell signal - Most reliable at major resistance zones **Support & Resistance Levels** - Automatically plots recent pivot highs (resistance) - Automatically plots recent pivot lows (support) - Uses 3-bar strength for validation - Levels shown as dashed horizontal lines **Price Action Patterns** - **Uptrend detection**: Higher highs + higher lows - **Downtrend detection**: Lower highs + lower lows - Confirms overall market structure *** ### **4. Volume Analysis** **Purpose:** Confirms signal strength and filters false signals **Metrics tracked:** - **Volume MA (20-period)**: Baseline average volume - **High volume threshold**: 1.5x the volume average - **Volume increase**: Current volume > previous 2 bars **How it's used:** - All buy/sell signals **require volume confirmation** - High volume = institutional participation - Low volume signals are filtered out - Prevents whipsaw trades during quiet periods **Visual indicator:** - Dashboard shows "High" volume in orange when active - "Normal" shown in gray during low volume *** ### **5. Signal Generation Logic** **BUY SIGNALS triggered when ANY of these occur:** 1. **Candlestick + Volume** - Bullish candle pattern detected - High volume confirmation - Price above Fast MA 2. **MA Crossover + Volume** - Fast MA crosses above Medium MA - High volume confirmation 3. **Double Bottom Breakout** - Price breaks above support level - Volume confirmation present 4. **Trend Continuation** - Uptrend structure intact (higher highs/lows) - All MAs in bullish alignment - Price above Fast MA - Volume confirmation **SELL SIGNALS triggered when ANY of these occur:** 1. **Candlestick + Volume** - Bearish candle pattern detected - High volume confirmation - Price below Fast MA 2. **MA Crossunder + Volume** - Fast MA crosses below Medium MA - High volume confirmation 3. **Double Top Breakdown** - Price breaks below resistance level - Volume confirmation present 4. **Trend Continuation** - Downtrend structure intact (lower highs/lows) - All MAs in bearish alignment - Price below Fast MA - Volume confirmation *** ### **6. Risk Management System** **Automatic Stop Loss Calculation:** - Based on ATR (Average True Range) - 14 periods - **Formula**: Entry price ± (ATR × SL Multiplier) - **Default multiplier**: 1.5 (adjustable) - Adapts to market volatility automatically **Automatic Take Profit Calculation:** - **Formula**: Entry price ± (ATR × TP Multiplier) - **Default multiplier**: 2.5 (adjustable) - **Default Risk:Reward ratio**: 1:1.67 - Higher TP multiplier = more aggressive targets **Position Management:** - Tracks ONE position at a time (no pyramiding) - Automatically closes position when: - Stop loss is hit - Take profit is reached - Opposite MA crossover occurs - Prevents revenge trading and over-leveraging **Visual Representation:** - **Red horizontal line** = Stop Loss level - **Green horizontal line** = Take Profit level - Lines remain on chart while position is active - Automatically disappear when position closes *** ### **7. Visual Elements** **On-Chart Displays:** 1. **Moving Average Lines** - Fast MA (Blue, thick) - Medium MA (Orange, thick) - Slow MA (Red, thin) 2. **Support/Resistance** - Green crosses = Support levels - Red crosses = Resistance levels 3. **Buy/Sell Arrows** - Large GREEN "BUY" label below bars - Large RED "SELL" label above bars 4. **Pattern Labels** (Small markers) - "Hammer", "Bull Engulf", "Morning Star" (green, below bars) - "Shooting Star", "Bear Engulf", "Evening Star" (red, above bars) - "Double Bottom" / "Double Top" (blue/orange) 5. **Signal Detail Labels** (Medium size) - Shows signal reason (e.g., "Bullish Candle", "MA Cross Up") - Displays Entry, SL, and TP prices - Color-coded (green for long, red for short) 6. **Background Coloring** - Light green tint = Bullish MA alignment - Light red tint = Bearish MA alignment *** ### **8. Information Dashboard** **Top-right corner table showing:** | Metric | Description | |--------|-------------| | **Position** | Current trade status (LONG/SHORT/None) | | **MA Trend** | Overall trend direction (Bullish/Bearish/Neutral) | | **Volume** | Current volume status (High/Normal) | | **Pattern** | Last detected candlestick pattern | | **ATR** | Current volatility measurement | **Purpose:** - Quick at-a-glance market assessment - Real-time position tracking - No need to check multiple indicators *** ### **9. Alert System** **Complete alert coverage for:** ✅ **Entry Alerts** - "Buy Signal" - Triggers when buy conditions met - "Sell Signal" - Triggers when sell conditions met ✅ **Exit Alerts** - "Long TP Hit" - Take profit reached on long position - "Long SL Hit" - Stop loss triggered on long position - "Short TP Hit" - Take profit reached on short position - "Short SL Hit" - Stop loss triggered on short position **How to use:** 1. Click "Create Alert" button 2. Select desired alert from dropdown 3. Set notification method (popup, email, SMS, webhook) 4. Never miss a trade opportunity *** ## **Recommended Settings** ### **For Scalping (Quick trades):** - **Timeframe**: 5-minute - **Fast MA**: 9 - **Medium MA**: 21 - **Slow MA**: 50 - **SL Multiplier**: 1.0 - **TP Multiplier**: 2.0 - **Volume Threshold**: 1.5x ### **For Swing Trading (Longer holds):** - **Timeframe**: 1-hour or 4-hour - **Fast MA**: 20 - **Medium MA**: 50 - **Slow MA**: 200 - **SL Multiplier**: 2.0 - **TP Multiplier**: 3.0 - **Volume Threshold**: 1.3x ### **Best Trading Hours for XAUUSD:** - **Asian Session**: 00:00 - 08:00 GMT (lower volatility) - **London Session**: 08:00 - 16:00 GMT (high volatility) ⭐ - **New York Session**: 13:00 - 21:00 GMT (highest volume) ⭐ - **London-NY Overlap**: 13:00 - 16:00 GMT (BEST for scalping) 🔥 *** ## **How to Use This Strategy** ### **Step 1: Setup** 1. Open TradingView 2. Load XAUUSD chart 3. Select timeframe (5m, 15m, 1H, or 4H) 4. Add indicator from Pine Editor 5. Adjust settings based on your trading style ### **Step 2: Wait for Signals** - Watch for GREEN "BUY" or RED "SELL" labels - Check the signal reason in the detail label - Verify dashboard shows favorable conditions - Confirm volume is "High" (not required but preferred) ### **Step 3: Enter Trade** - Enter at market or limit order near signal price - Note the displayed Entry, SL, and TP prices - Set your broker's SL/TP to match indicator levels ### **Step 4: Manage Position** - Watch for SL/TP lines on chart - Monitor dashboard for trend changes - Exit manually if opposite MA crossover occurs - Let SL/TP do their job (don't move them!) ### **Step 5: Review & Learn** - Track win rate over 20+ trades - Adjust multipliers if needed - Note which patterns work best for you - Refine entry timing *** ## **Key Advantages** ✅ **Multi-confirmation approach** - Reduces false signals significantly ✅ **Automatic risk management** - No manual calculation needed ✅ **Adapts to volatility** - ATR-based SL/TP adjusts to market conditions ✅ **Volume filtered** - Ensures institutional participation ✅ **Visual clarity** - Easy to understand at a glance ✅ **Complete alert system** - Never miss opportunities ✅ **Pattern education** - Learn patterns as they appear ✅ **Works on all timeframes** - Scalping to swing trading *** ## **Limitations & Considerations** ⚠️ **Not a holy grail** - No strategy wins 100% of trades ⚠️ **Requires practice** - Demo trade first to understand signals ⚠️ **Market conditions matter** - Works best in trending or volatile markets ⚠️ **News events** - Avoid trading during major economic releases ⚠️ **Slippage on 5m** - Fast markets may have execution delays ⚠️ **Pattern subjectivity** - Some patterns may trigger differently than expected *** ## **Risk Management Rules** 1. **Never risk more than 1-2% per trade** 2. **Maximum 3 positions per day** (avoid overtrading) 3. **Don't trade during major news** (NFP, FOMC, etc.) 4. **Use proper position sizing** (0.01 lot per $100 for micro accounts) 5. **Keep trade journal** (track patterns, win rate, mistakes) 6. **Stop trading after 3 consecutive losses** (psychological reset) 7. **Don't move stop loss further away** (accept losses) 8. **Take partial profits** at 1:1 R:R if desired *** ## **Expected Performance** **Realistic expectations:** - **Win rate**: 50-65% (depending on market conditions and timeframe) - **Risk:Reward**: 1:1.67 default (adjustable to 1:2 or 1:3) - **Signals per day**: 3-8 on 5m, 1-3 on 1H - **Best months**: High volatility periods (news events, economic uncertainty) - **Drawdowns**: Expect 3-5 losing trades in a row occasionally *** ## **Customization Options** All inputs are adjustable in settings panel: **Moving Averages:** - Type (SMA or EMA) - All three period lengths **Volume:** - Volume MA length - High volume multiplier threshold **Chart Patterns:** - Pattern strength (bars for pivot detection) - Show/hide pattern labels **Risk Management:** - ATR period - Stop loss multiplier - Take profit multiplier **Display:** - Toggle pattern labels - Customize colors (in code) *** ## **Conclusion** This is a **professional-grade, multi-factor trading system** that combines the best of classical technical analysis with modern risk management. It's designed to give clear, actionable signals while automatically handling the complex calculations of stop loss and take profit levels. **Best suited for traders who:** - Understand basic technical analysis - Can follow rules consistently - Prefer systematic approach over gut feeling - Want visual confirmation before entering trades - Value proper risk management **Start with demo trading** for at least 20-30 trades to understand how the signals work in different market conditions. Once comfortable and profitable on demo, transition to live trading with minimal risk per trade. Happy trading! 📈🎯
Chỉ báo Pine Script®
của puzzledBook68692
Fat Tony's Composite Momentum + ROC (v0.4)Fat Tony's Composite Momentum + ROC Indicator Overview Fat Tony's Composite Momentum + ROC is a sophisticated momentum oscillator that combines multiple technical indicators into a single, volume-weighted signal. This indicator helps traders identify overbought/oversold conditions and potential reversal points by synthesizing Williams %R, Stochastic, MACD, and Rate of Change (ROC) into one composite reading. Key Features Multi-Indicator Composite: Combines Williams %R, Stochastic %K, MACD Histogram, and ROC for a comprehensive momentum view Volume Weighting: Optional volume-based amplification to filter out low-conviction moves Volume Filter: Requires minimum volume threshold (last 2 bars combined) before triggering signals Adaptive MACD Scaling: Uses tanh normalization to keep MACD contribution proportional regardless of price volatility Clear Visual Signals: Triangle markers appear only when crossing extreme levels with sufficient volume Customizable Thresholds: Adjust overbought/oversold levels, volume sensitivity, and component lengths How It Works The indicator normalizes each component to a ±50 scale, then averages them together. The composite reading oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. Signal Generation: 🟢 Rebound Watch (Green Triangle): Fires when the composite crosses UP through the oversold level with adequate volume 🔴 Fade Watch (Red Triangle): Fires when the composite crosses DOWN through the overbought level with adequate volume Customizing Settings After adding to your chart, click the gear icon next to the indicator name to access settings: Length: Base period for Williams %R and Stochastic (default: 14) MACD Fast/Slow/Signal: Standard MACD parameters (default: 12/26/9) Overbought/Oversold Levels: Threshold values for signals (default: ±100) Use Volume Weighting: Toggle volume amplification on/off Volume Sensitivity: Multiplier for volume weighting (default: 1.5) Include ROC: Toggle Rate of Change component on/off ROC Length: Lookback period for ROC calculation (default: 10) Minimum Volume: Required volume (sum of last 2 bars) for signals to trigger (default: 50,000) Usage Tips Works best on liquid instruments with consistent volume Lower timeframes (5m-15m) benefit from higher minimum volume settings Volume weighting helps filter out noise during consolidation periods Watch for signal triangles at key support/resistance levels for highest probability setups The indicator works as a momentum gauge and reversal spotter - not an entry system by itself Alerts The indicator includes built-in alert conditions: Click the "⏰" (alarm clock) icon on your chart Select "Fat Tony's Composite Momentum + ROC" Choose "Rebound Watch" or "Fade Watch" Configure your notification preferences
Chỉ báo Pine Script®
của robbooker
XAUUSD Best Strategy - Buy/Sell SignalsThe best strategy to trade XAUUSD (gold) often depends on your trading style and market conditions, but several high-probability approaches are recommended by top traders and industry experts for both scalping and swing trading.​ Trend-Following Using EMAs Use a combination of 9-period and 21-period Exponential Moving Averages (EMA) on the 5-minute or 15-minute chart. Enter long when the 9 EMA crosses above the 21 EMA, especially when overall trend aligns with higher timeframes (such as H1 or H4). Confirm entries with an RSI value above 50 for buys (or below 50 for sells). Set stop loss just below the latest swing low for long positions. Ideal for fast-moving, trending sessions (London and New York overlap).​
Chỉ báo Pine Script®
của puzzledBook68692
RMBS Smart Detector - Multi-Factor Momentum System v2# RMBS Smart Detector - Multi-Factor Momentum System ## Overview RMBS (Smart Detector - Multi-Factor Momentum System) is a proprietary scoring method developed by Ario, combining normalized RSI and Bollinger band positioning into a single composite metric. --- ## Core Methodology ### Buy/Sell Logic  Marker (green or red )appear when **all four filters** pass: **1. RMBS Score (Momentum Strength)** From the formula Bellow Combined Range: -10 (extreme bearish) to +10 (extreme bullish) Signal Thresholds: • BUY: Score > +3.0 • SELL: Score < -3.0 2. EMA Trend Filter BUY: EMA(21) > EMA(55) → Uptrend confirmed SELL: EMA(21) < EMA(55) → Downtrend confirmed 3. ADX Strength Filter Minimum ADX: 25 (adjustable 20-30) ADX > 25: Trending market → Signal allowed ADX < 25: Range-bound → Signal blocked 4. Alternating Logic Prevents signal spam by requiring alternation: ✓ BUY → SELL → BUY (allowed) ✗ BUY → BUY → BUY (blocked) ________________________________________ Mathematical Foundation RMBS Formula: scoring method developed by Ario RMBS = (RSI – 50) / 10 + ((BB_pos – 50) / 10) where: • RSI = Relative Strength Index (close, L) • BB_pos = (Close – (SMA – 2 σ)) / ((SMA + 2 σ) – (SMA – 2 σ)) × 100 • σ = standard deviation of close over lookback L • SMA = simple moving average of close over lookback L • L = rmbs_length (period setting) This produces a normalized composite score around zero: • Positive → bullish momentum and upper band dominance • Negative → bearish momentum and lower band pressure • Near 0 → neutral or transitional zone Input Parameters ADX Threshold (default: 25) • Lower (20-23): More signals, less filtering • Higher (28-30): Fewer signals, stronger trends • Recommended: 25 for balanced filtering Signal Thresholds • BUY: +3.0 (adjustable) • SELL: -3.0 (adjustable) Visual Options • Marker colors • Background highlights • Alert settings ________________________________________ Usage Guidelines How to Interpret • 🟢 Green Marker: All conditions met for Bull condition • 🔴 Red Marker: All conditions met for Bear condition • No Marker: Waiting for confirmation ________________________________________ Important Disclaimers ⚠️ Educational Purpose Only • This tool demonstrates multi-factor technical analysis concepts • Not financial advice or trade recommendations • No guarantee of profitability ⚠️ Known Limitations • Less effective in ranging/choppy markets • Requires proper risk management (stop-loss, position sizing) • Should be combined with fundamental analysis ⚠️ Risk Warning Trading involves substantial risk of loss. Past performance does not indicate future results. Always conduct your own research and consult professionals before trading. ________________________________________ Open Source Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome. “All logic is presented for research and educational visualization.”
Chỉ báo Pine Script®
của Ario_pinelab
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB** A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context. * See trend direction at a glance with SMAs. * Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200). * Highlight big regime shifts with special Golden/Death tags. * Read momentum and volatility with the candle heatmap. * Add Bollinger Bands if you want classic mean-reversion context. Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes. # What This Indicator Does (plain English) * **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead). * **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint. * **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out. * **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient. * **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them. * **Includes alert conditions** for Golden and Death Cross so you can automate notifications. --- # Settings — Simple Explanations ## Source * **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`. ## SMA 50 * **Show 50**: Turn the SMA(50) line on/off. * **Length 50**: How many bars to average. Lower = faster but noisier. * **Color 50** / **Width 50**: Visual style. * **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe. ## SMA 100 * **Show 100**: Turn the SMA(100) line on/off. * **Length 100**: Bars used for the mid-term trend. * **Color 100** / **Width 100**: Visual style. * **Timeframe 100**: Optional alternate timeframe for SMA(100). ## SMA 200 * **Show 200**: Turn the SMA(200) line on/off. * **Length 200**: Bars used for the long-term trend. * **Color 200** / **Width 200**: Visual style. * **Timeframe 200**: Optional alternate timeframe for SMA(200). ## Signals (crossover labels) * **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200). * **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint). * **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often. * **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish. ### Label Offset * **Offset mode**: Choose how to push labels away from price: * **Percent**: Offset is a % of price. * **ATR x**: Offset is ATR(14) × multiplier. * **Percent of price (%)**: Used when mode = Percent. * **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x. ### Label Colors * **Bull color** / **Bear color**: Background of triangle labels. * **Bull label text color** / **Bear label text color**: Text color inside the triangles. ## Golden / Death Cross * **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200. * **Golden label color** / **Golden text color**: Styling for Golden label. * **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200. * **Death label color** / **Death text color**: Styling for Death label. ## Candle Heatmap * **Enable heatmap candle colors**: Turns the heatmap on/off. * **Length**: Lookback for the regression midline and volatility measure. * **Deviation Multiplier**: Band width around the midline (bigger = wider). * **Volatility basis**: * **RMA Range** (smoothed high-low range) * **Stdev** (standard deviation of close) * **Upper/Middle/Lower color**: Gradient colors for the heatmap. * **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible. * **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring. ## Bollinger Bands (optional) * **Show Bollinger Bands**: Toggle the overlay on/off. * **Length**: Basis SMA length. * **StdDev Multiplier**: Distance of bands from the basis in standard deviations. * **Basis color** / **Band color**: Line colors for basis and bands. * **Bands fill transparency**: Opacity of the fill between upper/lower bands. --- # Features & How It Works ## 1) HTF-Safe SMAs Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars). ## 2) Crossover Labels (Three Pairs) * **50↔100**, **50↔200**, **100↔200**: * **Triangle Up** label when the first SMA crosses **above** the second. * **Triangle Down** label when it crosses **below**. * Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish). * **Debounce** spacing avoids repeated labels for the same pair too close together. ## 3) Golden / Death Cross Highlights * **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift). * **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift). * Separate styling so they stand out from regular cross labels. ## 4) Candle Heatmap * Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel. * Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish. * Helps you see momentum and “where price sits” relative to a dynamic channel. ## 5) Bollinger Bands (Optional) * Classic **basis SMA** ± **StdDev** bands. * Light visual context for mean-reversion and volatility expansion. ## 6) Alerts * **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200` * **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200` Add these to your alerts to get notified automatically. --- # Tips & Notes * For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes. * Use the **Trend Filter** to align signals with the broader stack and cut noise. * For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame. * Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
Chỉ báo Pine Script®
của a_jabbaroff
RSI Overbought/Oversold + Divergence Indicator (new)//@version=5 indicator('CryptoSignalScanner - RSI Overbought/Oversold + Divergence Indicator (new)', //--------------------------------------------------------------------------------------------------------------------------------- //--- Define Colors --------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------- vWhite = #FFFFFF vViolet = #C77DF3 vIndigo = #8A2BE2 vBlue = #009CDF vGreen = #5EBD3E vYellow = #FFB900 vRed = #E23838 longColor = color.green shortColor = color.red textColor = color.white bullishColor = color.rgb(38,166,154,0) //Used in the display table bearishColor = color.rgb(239,83,79,0) //Used in the display table nomatchColor = color.silver //Used in the display table //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Functions-------------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- TF2txt(TF) => switch TF "S" => "RSI 1s:" "5S" => "RSI 5s:" "10S" => "RSI 10s:" "15S" => "RSI 15s:" "30S" => "RSI 30s" "1" => "RSI 1m:" "3" => "RSI 3m:" "5" => "RSI 5m:" "15" => "RSI 15m:" "30" => "RSI 30m" "45" => "RSI 45m" "60" => "RSI 1h:" "120" => "RSI 2h:" "180" => "RSI 3h:" "240" => "RSI 4h:" "480" => "RSI 8h:" "D" => "RSI 1D:" "1D" => "RSI 1D:" "2D" => "RSI 2D:" "3D" => "RSI 2D:" "3D" => "RSI 3W:" "W" => "RSI 1W:" "1W" => "RSI 1W:" "M" => "RSI 1M:" "1M" => "RSI 1M:" "3M" => "RSI 3M:" "6M" => "RSI 6M:" "12M" => "RSI 12M:" //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Show/Hide Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowInput = input(true, title='Show RSI', group='Show/Hide Settings') maShowInput = input(false, title='Show MA', group='Show/Hide Settings') showRSIMAInput = input(true, title='Show RSIMA Cloud', group='Show/Hide Settings') rsiBandShowInput = input(true, title='Show Oversold/Overbought Lines', group='Show/Hide Settings') rsiBandExtShowInput = input(true, title='Show Oversold/Overbought Extended Lines', group='Show/Hide Settings') rsiHighlightShowInput = input(true, title='Show Oversold/Overbought Highlight Lines', group='Show/Hide Settings') DivergenceShowInput = input(true, title='Show RSI Divergence Labels', group='Show/Hide Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Table Settings -------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiShowTable = input(true, title='Show RSI Table Information box', group="RSI Table Settings") rsiTablePosition = input.string(title='Location', defval='middle_right', options= , group="RSI Table Settings", inline='1') rsiTextSize = input.string(title=' Size', defval='small', options= , group="RSI Table Settings", inline='1') rsiShowTF1 = input(true, title='Show TimeFrame1', group="RSI Table Settings", inline='tf1') rsiTF1 = input.timeframe("15", title=" Time", group="RSI Table Settings", inline='tf1') rsiShowTF2 = input(true, title='Show TimeFrame2', group="RSI Table Settings", inline='tf2') rsiTF2 = input.timeframe("60", title=" Time", group="RSI Table Settings", inline='tf2') rsiShowTF3 = input(true, title='Show TimeFrame3', group="RSI Table Settings", inline='tf3') rsiTF3 = input.timeframe("240", title=" Time", group="RSI Table Settings", inline='tf3') rsiShowTF4 = input(true, title='Show TimeFrame4', group="RSI Table Settings", inline='tf4') rsiTF4 = input.timeframe("D", title=" Time", group="RSI Table Settings", inline='tf4') rsiShowHist = input(true, title='Show RSI Historical Columns', group="RSI Table Settings", tooltip='Show the information of the 2 previous closed candles') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Input Settings ---------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiSourceInput = input.source(close, 'Source', group='RSI Settings') rsiLengthInput = input.int(14, minval=1, title='RSI Length', group='RSI Settings', tooltip='Here we set the RSI lenght') rsiColorInput = input.color(#26a69a, title="RSI Color", group='RSI Settings') rsimaColorInput = input.color(#ef534f, title="RSIMA Color", group='RSI Settings') rsiBandColorInput = input.color(#787B86, title="RSI Band Color", group='RSI Settings') rsiUpperBandExtInput = input.int(title='RSI Overbought Extended Line', defval=80, minval=50, maxval=100, group='RSI Settings') rsiUpperBandInput = input.int(title='RSI Overbought Line', defval=70, minval=50, maxval=100, group='RSI Settings') rsiLowerBandInput = input.int(title='RSI Oversold Line', defval=30, minval=0, maxval=50, group='RSI Settings') rsiLowerBandExtInput = input.int(title='RSI Oversold Extended Line', defval=20, minval=0, maxval=50, group='RSI Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Input Settings ----------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- maTypeInput = input.string("EMA", title="MA Type", options= , group="MA Settings") maLengthInput = input.int(14, title="MA Length", group="MA Settings") maColorInput = input.color(color.yellow, title="MA Color", group='MA Settings') //#7E57C2 //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Input Settings --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- lbrInput = input(title="Pivot Lookback Right", defval=2, group='RSI Divergence Settings') lblInput = input(title="Pivot Lookback Left", defval=2, group='RSI Divergence Settings') lbRangeMaxInput = input(title="Max of Lookback Range", defval=10, group='RSI Divergence Settings') lbRangeMinInput = input(title="Min of Lookback Range", defval=2, group='RSI Divergence Settings') plotBullInput = input(title="Plot Bullish", defval=true, group='RSI Divergence Settings') plotHiddenBullInput = input(title="Plot Hidden Bullish", defval=true, group='RSI Divergence Settings') plotBearInput = input(title="Plot Bearish", defval=true, group='RSI Divergence Settings') plotHiddenBearInput = input(title="Plot Hidden Bearish", defval=true, group='RSI Divergence Settings') //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- RSI Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsi = ta.rsi(rsiSourceInput, rsiLengthInput) rsiprevious = rsi = request.security(syminfo.tickerid, rsiTF1, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF2, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF3, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) = request.security(syminfo.tickerid, rsiTF4, [rsi, rsi , rsi ], lookahead=barmerge.lookahead_on) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- MA Calculation ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- ma(source, length, type) => switch type "SMA" => ta.sma(source, length) "Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) rsiMA = ma(rsi, maLengthInput, maTypeInput) rsiMAPrevious = rsiMA //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Stoch RSI Settings + Calculation -------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- showStochRSI = input(false, title="Show Stochastic RSI", group='Stochastic RSI Settings') smoothK = input.int(title="Stochastic K", defval=3, minval=1, maxval=10, group='Stochastic RSI Settings') smoothD = input.int(title="Stochastic D", defval=4, minval=1, maxval=10, group='Stochastic RSI Settings') lengthRSI = input.int(title="Stochastic RSI Lenght", defval=14, minval=1, group='Stochastic RSI Settings') lengthStoch = input.int(title="Stochastic Lenght", defval=14, minval=1, group='Stochastic RSI Settings') colorK = input.color(color.rgb(41,98,255,0), title="K Color", group='Stochastic RSI Settings', inline="1") colorD = input.color(color.rgb(205,109,0,0), title="D Color", group='Stochastic RSI Settings', inline="1") StochRSI = ta.rsi(rsiSourceInput, lengthRSI) k = ta.sma(ta.stoch(StochRSI, StochRSI, StochRSI, lengthStoch), smoothK) //Blue Line d = ta.sma(k, smoothD) //Red Line //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Divergence Settings ------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bearColor = color.red bullColor = color.green hiddenBullColor = color.new(color.green, 50) hiddenBearColor = color.new(color.red, 50) //textColor = color.white noneColor = color.new(color.white, 100) osc = rsi plFound = na(ta.pivotlow(osc, lblInput, lbrInput)) ? false : true phFound = na(ta.pivothigh(osc, lblInput, lbrInput)) ? false : true _inRange(cond) => bars = ta.barssince(cond == true) lbRangeMinInput <= bars and bars <= lbRangeMaxInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define Plot & Line Colors --------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- rsiColor = rsi >= rsiMA ? rsiColorInput : rsimaColorInput //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Lines ------------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Create a horizontal line at a specific price level myLine = line.new(bar_index , 75, bar_index, 75, color = color.rgb(187, 14, 14), width = 2) bottom = line.new(bar_index , 50, bar_index, 50, color = color.rgb(223, 226, 28), width = 2) mymainLine = line.new(bar_index , 60, bar_index, 60, color = color.rgb(13, 154, 10), width = 3) hline(50, title='RSI Baseline', color=color.new(rsiBandColorInput, 50), linestyle=hline.style_solid, editable=false) hline(rsiBandExtShowInput ? rsiUpperBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiUpperBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandShowInput ? rsiLowerBandInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) hline(rsiBandExtShowInput ? rsiLowerBandExtInput : na, title='RSI Upper Band', color=color.new(rsiBandColorInput, 10), linestyle=hline.style_dashed, editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandExtInput ? color.new(rsiColorInput, 70) : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi >= rsiUpperBandInput ? rsi < rsiUpperBandExtInput ? color.new(#64ffda, 90) : na : na: na, title="Show Overbought Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? rsi > rsiLowerBandExtInput ? color.new(#F43E32, 90) : na : na : na, title="Show Extended Oversold Highlight", editable=false) bgcolor(rsiHighlightShowInput ? rsi <= rsiLowerBandInput ? color.new(rsimaColorInput, 70) : na : na, title="Show Oversold Highlight", editable=false) maPlot = plot(maShowInput ? rsiMA : na, title='MA', color=color.new(maColorInput,0), linewidth=1) rsiMAPlot = plot(showRSIMAInput ? rsiMA : na, title="RSI EMA", color=color.new(rsimaColorInput,0), editable=false, display=display.none) rsiPlot = plot(rsiShowInput ? rsi : na, title='RSI', color=color.new(rsiColor,0), linewidth=1) fill(rsiPlot, rsiMAPlot, color=color.new(rsiColor, 60), title="RSIMA Cloud") plot(showStochRSI ? k : na, title='Stochastic K', color=colorK, linewidth=1) plot(showStochRSI ? d : na, title='Stochastic D', color=colorD, linewidth=1) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Plot Divergence ------------------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- // Regular Bullish // Osc: Higher Low oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Lower Low priceLL = low < ta.valuewhen(plFound, low , 1) bullCond = plotBullInput and priceLL and oscHL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Regular Bullish", linewidth=2, color=(bullCond ? bullColor : noneColor) ) plotshape( DivergenceShowInput ? bullCond ? osc : na : na, offset=-lbrInput, title="Regular Bullish Label", text=" Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bullish // Osc: Lower Low oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound ) // Price: Higher Low priceHL = low > ta.valuewhen(plFound, low , 1) hiddenBullCond = plotHiddenBullInput and priceHL and oscLL and plFound plot( plFound ? osc : na, offset=-lbrInput, title="Hidden Bullish", linewidth=2, color=(hiddenBullCond ? hiddenBullColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBullCond ? osc : na : na, offset=-lbrInput, title="Hidden Bullish Label", text=" H Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Regular Bearish // Osc: Lower High oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Higher High priceHH = high > ta.valuewhen(phFound, high , 1) bearCond = plotBearInput and priceHH and oscLH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Regular Bearish", linewidth=2, color=(bearCond ? bearColor : noneColor) ) plotshape( DivergenceShowInput ? bearCond ? osc : na : na, offset=-lbrInput, title="Regular Bearish Label", text=" Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //------------------------------------------------------------------------------ // Hidden Bearish // Osc: Higher High oscHH = osc > ta.valuewhen(phFound, osc , 1) and _inRange(phFound ) // Price: Lower High priceLH = high < ta.valuewhen(phFound, high , 1) hiddenBearCond = plotHiddenBearInput and priceLH and oscHH and phFound plot( phFound ? osc : na, offset=-lbrInput, title="Hidden Bearish", linewidth=2, color=(hiddenBearCond ? hiddenBearColor : noneColor) ) plotshape( DivergenceShowInput ? hiddenBearCond ? osc : na : na, offset=-lbrInput, title="Hidden Bearish Label", text=" H Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor ) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Check RSI Lineup ------------------------------------------------------------------------------------------------------------------------------------------------ //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- bullTF = rsi > rsi and rsi > rsi bearTF = rsi < rsi and rsi < rsi bullTF1 = rsi1 > rsi1_1 and rsi1_1 > rsi1_2 bearTF1 = rsi1 < rsi1_1 and rsi1_1 < rsi1_2 bullTF2 = rsi2 > rsi2_1 and rsi2_1 > rsi2_2 bearTF2 = rsi2 < rsi2_1 and rsi2_1 < rsi2_2 bullTF3 = rsi3 > rsi3_1 and rsi3_1 > rsi3_2 bearTF3 = rsi3 < rsi3_1 and rsi3_1 < rsi3_2 bullTF4 = rsi4 > rsi4_1 and rsi4_1 > rsi4_2 bearTF4 = rsi4 < rsi4_1 and rsi4_1 < rsi4_2 bbTxt(bull,bear) => bull ? "BULLISH" : bear ? "BEARISCH" : 'NO LINEUP' bbColor(bull,bear) => bull ? bullishColor : bear ? bearishColor : nomatchColor newTC(tBox, col, row, txt, width, txtColor, bgColor, txtHA, txtSize) => table.cell(table_id=tBox,column=col, row=row, text=txt, width=width,text_color=txtColor,bgcolor=bgColor, text_halign=txtHA, text_size=txtSize) //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- //--- Define RSI Table Setting ---------------------------------------------------------------------------------------------------------------------------------------- //--------------------------------------------------------------------------------------------------------------------------------------------------------------------- width_c0 = 0 width_c1 = 0 if rsiShowTable var tBox = table.new(position=rsiTablePosition, columns=5, rows=6, bgcolor=color.rgb(18,22,33,50), frame_color=color.black, frame_width=1, border_color=color.black, border_width=1) newTC(tBox, 0,1,"RSI Current",width_c0,color.orange,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,1,str.format(" {0,number,#.##} ", rsi),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,1,bbTxt(bullTF, bearTF),width_c0,vWhite,bbColor(bullTF, bearTF),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,1,str.format(" {0,number,#.##} ", rsi ),width_c0,vWhite,rsi < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF1 newTC(tBox, 0,2,TF2txt(rsiTF1),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,2,str.format(" {0,number,#.##} ", rsi1),width_c0,vWhite,rsi1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,2,bbTxt(bullTF1, bearTF1),width_c0,vWhite,bbColor(bullTF1,bearTF1),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,2,str.format(" {0,number,#.##} ", rsi1_1),width_c0,vWhite,rsi1_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,2,str.format(" {0,number,#.##} ", rsi1_2),width_c0,vWhite,rsi1_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF2 newTC(tBox, 0,3,TF2txt(rsiTF2),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,3,str.format(" {0,number,#.##} ", rsi2),width_c0,vWhite,rsi2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,3,bbTxt(bullTF2, bearTF2),width_c0,vWhite,bbColor(bullTF2,bearTF2),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,3,str.format(" {0,number,#.##} ", rsi2_1),width_c0,vWhite,rsi2_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,3,str.format(" {0,number,#.##} ", rsi2_2),width_c0,vWhite,rsi2_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF3 newTC(tBox, 0,4,TF2txt(rsiTF3),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,4,str.format(" {0,number,#.##} ", rsi3),width_c0,vWhite,rsi3 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,4,bbTxt(bullTF3, bearTF3),width_c0,vWhite,bbColor(bullTF3,bearTF3),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,4,str.format(" {0,number,#.##} ", rsi3_1),width_c0,vWhite,rsi3_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,4,str.format(" {0,number,#.##} ", rsi3_2),width_c0,vWhite,rsi3_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) if rsiShowTF4 newTC(tBox, 0,5,TF2txt(rsiTF4),width_c0,vWhite,color.rgb(0,0,0,100),'right',rsiTextSize) newTC(tBox, 1,5,str.format(" {0,number,#.##} ", rsi4),width_c0,vWhite,rsi4 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 4,5,bbTxt(bullTF4, bearTF4),width_c0,vWhite,bbColor(bullTF4,bearTF4),'center',rsiTextSize) if rsiShowHist newTC(tBox, 2,5,str.format(" {0,number,#.##} ", rsi4_1),width_c0,vWhite,rsi4_1 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) newTC(tBox, 3,5,str.format(" {0,number,#.##} ", rsi4_2),width_c0,vWhite,rsi4_2 < 50 ? bearishColor:bullishColor,'left',rsiTextSize) //------------------------------------------------------ //--- Alerts ------------------------------------------- //------------------------------------------------------
Chỉ báo Pine Script®
của RandyDahlin
Breadth Indicators NYSE Percent Above Moving AverageBreadth Indicators NYSE - transmits the processed data from the Barchart provider NYSE - Breadth Indicators S&P 500 - Breadth Indicators DOW - Breadth Indicators RUSSEL 1000 - Breadth Indicators RUSSEL 2000 - Breadth Indicators RUSSEL 3000 - Breadth Indicators Moving Average - 5, 20, 50, 100, 150, 200 The "Percentage above 50-day SMA" indicator measures the percentage of stocks in the index trading above their 50-day moving average. It is a useful tool for assessing the general state of the market and identifying overbought and oversold conditions. One way to use the "Percentage above 50-day SMA" indicator in a trading strategy is to combine it with a long-term moving average to determine whether the trend is bullish or bearish. Another way to use it is to combine it with a short-term moving average to identify pullbacks and rebounds within the overall trend. The purpose of using the "Percentage above 50-day SMA" indicator is to participate in a larger trend with a better risk-reward ratio. By using this indicator to identify pullbacks and bounces, you can reduce the risk of entering trades at the wrong time. Bull Signal Recap: 150-day EMA of $SPXA50R crosses above 52.5 and remains above 47.50 to set the bullish tone. 5-day EMA of $SPXA50R moves below 40 to signal a pullback 5-day EMA of $SPXA50R moves above 50 to signal an upturn Bear Signal Recap: 150-day EMA of $SPXA50R crosses below 47.50 and remains below 52.50 to set the bearish tone. 5-day EMA of $SPXA50R moves above 60 to signal a bounce 5-day EMA of $SPXA50R moves below 50 to signal a downturn Tweaking There are numerous ways to tweak a trading system, but chartists should avoid over-optimizing the indicator settings. In other words, don't attempt to find the perfect moving average period or crossover level. Perfection is unattainable when developing a system or trading the markets. It is important to keep the system logical and focus tweaks on other aspects, such as the actual price chart of the underlying security. What do levels above and below 50% signify in the long-term moving average? A move above 52.5% is deemed bullish, and below 47.5% is deemed bearish. These levels help to reduce whipsaws by using buffers for bullish and bearish thresholds. How does the short-term moving average work to identify pullbacks or bounces? When using a 5-day EMA, a move below 40 signals a pullback, and a move above 60 signals a bounce. How is the reversal of pullback or bounce identified? A move back above 50 after a pullback or below 50 after a bounce signals that the respective trend may be resuming. How can you ensure that the uptrend has resumed? It’s important to wait for the surge above 50 to ensure the uptrend has resumed, signaling improved breadth. Can the system be tweaked to optimize indicator settings? While there are various ways to tweak the system, seeking perfection through over-optimizing settings is advised against. It's crucial to keep the system logical and focus tweaks on the price chart of the underlying security. RUSSIAN \ Русская версия. Индикатор "Процент выше 50-дневной скользящей средней" измеряет процент акций, торгующихся в индексе выше их 50-дневной скользящей средней. Это полезный инструмент для оценки общего состояния рынка и выявления условий перекупленности и перепроданности. Один из способов использования индикатора "Процент выше 50-дневной скользящей средней" в торговой стратегии - это объединить его с долгосрочной скользящей средней, чтобы определить, является ли тренд бычьим или медвежьим. Другой способ использовать его - объединить с краткосрочной скользящей средней, чтобы выявить откаты и отскоки в рамках общего тренда. Цель использования индикатора "Процент выше 50-дневной скользящей средней" - участвовать в более широком тренде с лучшим соотношением риска и прибыли. Используя этот индикатор для выявления откатов и отскоков, вы можете снизить риск входа в сделки в неподходящее время. Краткое описание бычьего сигнала: 150-дневная ЕМА на уровне $SPXA50R пересекает отметку 52,5 и остается выше 47,50, что задает бычий настрой. 5-дневная ЕМА на уровне $SPXA50R опускается ниже 40, сигнализируя об откате 5-дневная ЕМА на уровне $SPXA50R поднимается выше 50, сигнализируя о росте Обзор медвежьих сигналов: 150-дневная ЕМА на уровне $SPXA50R пересекает уровень ниже 47,50 и остается ниже 52,50, что указывает на медвежий настрой. 5-дневная ЕМА на уровне $SPXA50R поднимается выше 60, сигнализируя о отскоке 5-дневная ЕМА на уровне $SPXA50 опускается ниже 50, что сигнализирует о спаде Корректировка Существует множество способов настроить торговую систему, но графологам следует избегать чрезмерной оптимизации настроек индикатора. Другими словами, не пытайтесь найти идеальный период скользящей средней или уровень пересечения. Совершенство недостижимо при разработке системы или торговле на рынках. Важно поддерживать логику системы и уделять особое внимание другим аспектам, таким как график фактической цены базовой ценной бумаги. Что означают уровни выше и ниже 50% в долгосрочной скользящей средней? Движение выше 52,5% считается бычьим, а ниже 47,5% - медвежьим. Эти уровни помогают снизить риски, используя буферы для бычьих и медвежьих порогов. Как краткосрочная скользящая средняя помогает идентифицировать откаты или отскоки? При использовании 5-дневной ЕМА движение ниже 40 указывает на откат, а движение выше 60 указывает на отскок. Как определяется разворот отката или отскока? Движение выше 50 после отката или ниже 50 после отскока сигнализирует о возможном возобновлении соответствующего тренда. Как вы можете гарантировать, что восходящий тренд возобновился? Важно дождаться скачка выше 50, чтобы убедиться в возобновлении восходящего тренда, сигнализирующего о расширении диапазона. Можно ли настроить систему для оптимизации настроек индикатора? Хотя существуют различные способы настройки системы, не рекомендуется стремиться к совершенству с помощью чрезмерной оптимизации настроек. Крайне важно сохранить логичность системы и сфокусировать изменения на ценовом графике базовой ценной бумаги.
Chỉ báo Pine Script®
của A-Shternkuker
Parameter Free RSI [InvestorUnknown]The Parameter Free RSI (PF-RSI) is an innovative adaptation of the traditional Relative Strength Index (RSI), a widely used momentum oscillator that measures the speed and change of price movements. Unlike the standard RSI, which relies on a fixed lookback period (typically 14), the PF-RSI dynamically adjusts its calculation length based on real-time market conditions. By incorporating volatility and the RSI's deviation from its midpoint (50), this indicator aims to provide a more responsive and adaptable tool for identifying overbought/oversold conditions, trend shifts, and momentum changes. This adaptability makes it particularly valuable for traders navigating diverse market environments, from trending to ranging conditions. PF-RSI offers a suite of customizable features, including dynamic length variants, smoothing options, visualization tools, and alert conditions. Key Features 1. Dynamic RSI Length Calculation The cornerstone of the PF-RSI is its ability to adjust the RSI calculation period dynamically, eliminating the need for a static parameter. The length is computed using two primary factors: Volatility: Measured via the standard deviation of past RSI values. Distance from Midpoint: The absolute deviation of the RSI from 50, reflecting the strength of bullish or bearish momentum. The indicator offers three variants for calculating this dynamic length, allowing users to tailor its responsiveness: Variant I (Aggressive): Increases the length dramatically based on volatility and a nonlinear scaling of the distance from 50. Ideal for traders seeking highly sensitive signals in fast-moving markets. Variant II (Moderate): Combines volatility with a scaled distance from 50, using a less aggressive adjustment. Strikes a balance between responsiveness and stability, suitable for most trading scenarios. Variant III (Conservative): Applies a linear combination of volatility and raw distance from 50. Offers a stable, less reactive length adjustment for traders prioritizing consistency. // Function that returns a dynamic RSI length based on past RSI values // The idea is to make the RSI length adaptive using volatility (stdev) and distance from the RSI midpoint (50) // Different "variant" options control how aggressively the length changes parameter_free_length(free_rsi, variant) => len = switch variant // Variant I: Most aggressive adaptation // Uses standard deviation scaled by a nonlinear factor of distance from 50 // Also adds another distance-based term to increase length more dramatically "I" => math.ceil( ta.stdev(free_rsi, math.ceil(free_rsi)) * math.pow(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100), 2) ) + ( math.ceil(math.abs(free_rsi - 50)) * (1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100)) ) // Variant II: Moderate adaptation // Adds the standard deviation and a distance-based scaling term (less nonlinear) "II" => math.ceil( ta.stdev(free_rsi, math.ceil(free_rsi)) + ( math.ceil(math.abs(free_rsi - 50)) * (1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100)) ) ) // Variant III: Least aggressive adaptation // Simply adds standard deviation and raw distance from 50 (linear scaling) "III" => math.ceil( ta.stdev(free_rsi, math.ceil(free_rsi)) + math.ceil(math.abs(free_rsi - 50)) ) 2. Smoothing Options To refine the dynamic RSI and reduce noise, the PF-RSI provides smoothing capabilities: Smoothing Toggle: Enable or disable smoothing of the dynamic length used for RSI. Smoothing MA Type for RSI MA: Choose between SMA and EMA Smoothing Length Options for RSI MA: Full: Uses the entire calculated dynamic length. Half: Applies half of the dynamic length for smoother output. SQRT: Uses the square root of the dynamic length, offering a compromise between responsiveness and smoothness. The smoothed RSI is complemented by a separate moving average (MA) of the RSI itself, further enhancing signal clarity. 3. Visualization Tools The PF-RSI includes visualization options to help traders interpret market conditions at a glance. Plots: Dynamic RSI: Displayed as a white line, showing the adaptive RSI value. RSI Moving Average: Plotted in yellow, providing a smoothed reference for trend and momentum analysis. Dynamic Length: A secondary plot (in faint white) showing how the calculation period evolves over time. Histogram: Represents the RSI’s position relative to 50, with color gradients. Fill Area: The space between the RSI and its MA is filled with a gradient (green for RSI > MA, red for RSI < MA), highlighting momentum shifts. Customizable bar colors on the price chart reflect trend and momentum: Trend (Raw RSI): Green (RSI > 50), Red (RSI < 50). Trend (RSI MA): Green (MA > 50), Red (MA < 50). Trend (Raw RSI) + Momentum: Adds momentum shading (lighter green/red when RSI and MA diverge). Trend (RSI MA) + Momentum: Similar, but based on the MA’s trend. Momentum: Green (RSI > MA), Red (RSI < MA). Off: Disables bar coloring. Intrabar Updating: Optional real-time updates within each bar for enhanced responsiveness. 4. Alerts The PF-RSI supports customizable alerts to keep traders informed of key events. Trend Alerts: Raw RSI: Triggers when the RSI crosses above (uptrend) or below (downtrend) 50. RSI MA: Triggers when the moving average crosses 50. Off: Disables trend alerts. Momentum Alerts: Triggers when the RSI crosses its moving average, indicating rising (RSI > MA) or declining (RSI < MA) momentum. Alerts are fired once per bar close, with descriptive messages including the ticker symbol (e.g., " Uptrend on: AAPL"). How It Works The PF-RSI operates in a multi-step process: Initialization On the first run, it calculates a standard RSI with a 14-period length to seed the dynamic calculation. Dynamic Length Computation Once seeded, the indicator switches to a dynamic length based on the selected variant, factoring in volatility and distance from 50. If smoothing is enabled, the length is further refined using an SMA. RSI Calculation The adaptive RSI is computed using the dynamic length, ensuring it reflects current market conditions. Moving Average A separate MA (SMA or EMA) is applied to the RSI, with a length derived from the dynamic length (Full, Half, or SQRT). Visualization and Alerts The results are plotted, and alerts are triggered based on user settings. This adaptive approach minimizes lag in fast markets and reduces false signals in choppy conditions, offering a significant edge over fixed-period RSI implementations. Why Use PF-RSI? The Parameter Free RSI stands out by eliminating the guesswork of selecting an RSI period. Its dynamic length adjusts to market volatility and momentum, providing timely signals without manual tweaking.
Chỉ báo Pine Script®
của InvestorUnknown
8