ابدأ الآن

متذبذبات

EMA Smoothed Standard Error Bands-zrbb-EMA Smoothed Standard Error Bands-zrbb- The Standard Error Bands (SEM) indicator is primarily used in market analysis to measure price volatility, assess trend strength, and identify potential market reversals or consolidation zones. Similar to Bollinger Bands, it is typically based on linear regression lines rather than simple moving averages, providing traders with a visual range of price fluctuations around its average trend. Specific functions include: * Measuring Volatility: The width of the SEM directly reflects market volatility. When price trends are stable, the bandwidth typically contracts, indicating that data points are clustered around the mean; conversely, when market volatility increases, the bandwidth expands, indicating greater price dispersion. * Assessing Trend Strength and Direction: This indicator can show the direction of the current trend and assess its strength by observing the price's position within the bands. If the price consistently touches or trades near the boundary on one side of the band, it usually indicates a strong trend in that direction. * Identifying Overbought/Oversold Signals: While not a strictly overbought/oversold indicator, when the price touches or breaks through the upper or lower band, it may indicate that the market is in a state of extreme volatility in the short term, potentially leading to a price pullback or reversal. Predicting Potential Trend Ends or Consolidation: When the standard error band begins to expand significantly, it can be a signal that the momentum of the current trend is weakening, and the market may be about to enter a consolidation phase or the trend may be about to reverse. Assisting Decision Making and Risk Management: Traders use the boundary lines as potential support and resistance levels to help determine entry and exit points or set stop-loss levels, thereby managing trading risk. In summary, the standard error band is a dynamic volatility tool that helps traders better understand market behavior by quantifying the degree to which prices deviate from their predicted trend, providing an important reference, especially in judging the continuation of trends and potential turning points. 标准误差带（Standard Error Bands）指标在市场分析中主要用于衡量价格波动性、判断趋势强度以及识别潜在的市场反转或盘整区域。它类似于布林带（Bollinger Bands），但通常基于线性回归线而不是简单的移动平均线，为交易者提供了价格围绕其平均趋势波动的视觉范围。 具体作用包括： 衡量波动性：标准误差带的宽度直接反映了市场的波动性。当价格趋势稳定时，带宽通常会收缩，表明数据点聚集在均值附近；相反，当市场波动加剧时，带宽会扩张，表明价格离散程度增大。 判断趋势强度和方向：该指标可以显示当前趋势的方向，并通过观察价格在带内的位置来评估趋势的强度。如果价格持续触及或运行在某一侧的边界附近，通常意味着该方向的趋势强劲。 识别超买/超卖信号：虽然不是严格意义上的超买/超卖指标，但当价格触及或突破上轨或下轨时，可能预示着市场短期内处于极端的波动状态，可能会出现价格回调或反转。 预测潜在的趋势结束或盘整：当标准误差带开始显著扩张时，这可能是一个信号，表明当前趋势的动能正在减弱，市场可能即将进入盘整期或趋势即将反转。 辅助决策和风险管理：交易者利用边界线作为潜在的支撑位和阻力位，帮助确定进场、出场点位或设置止损水平，从而管理交易风险。 总之，标准误差带是一个动态的波动率工具，它通过量化价格偏离其预测趋势的程度，帮助交易者更清晰地理解市场行为，尤其是在判断趋势的持续性和潜在转折点方面提供了重要参考。
مؤشر Pine Script®
من ‎zrbb-1‎
The Alchemist's Trend [wjdtks255]📊 The Alchemist's Trend - Filtered Trading Guide This indicator, named The Alchemist's Trend, is a High-Confidence Trend-Following Strategy designed to maximize reliability. It generates a final entry signal only when the QQE (Quantitative Qualitative Estimation) momentum signal is validated by four robust filters: Long-Term Trend (MA200), Mid-Term Trend (HMA), Momentum Strength (CCI), and Higher Timeframe (HTF) Trend. 1. Indicator Mechanism and Core Components A. Chart Visualization and Trend Identification Trend Line (HMA): Appears as a Yellow or Purple Thick Line. It represents the direction of the current short/mid-term market trend. Candle colors follow this line. MA 200: Appears as a Dotted Line (color configurable in settings). It is the Long-Term Trend Line. Price above it suggests a long-term bullish view; below it, a long-term bearish view. Candle Background: Appears as Light Yellow or Purple. It matches the Trend Line direction, providing a visual cue of the trend's strength. B. The Four-Filter System For a confirmed entry signal ('L' or 'S') to fire, the following four conditions must all align in the same direction: QQE (Momentum Base): Generates the primary Long/Short crossover signal. MA & HMA (Trend Alignment): For Long Entries: Price must be above both the MA200 and the HMA Trend Line. For Short Entries: Price must be below both the MA200 and the HMA Trend Line. CCI (Momentum Strengthening): For Long Entries: CCI value must be above +50. (Confirms strong buying momentum) For Short Entries: CCI value must be below -50. (Confirms strong selling momentum) HTF (Higher Timeframe Trend): Checks if the price on the set higher timeframe (default 4H) is above its own Trend Line, confirming alignment with the broader market direction. 2. Trading Strategy and Usage Rules This indicator aims to maximize signal reliability over frequency. 🔔 Entry Rule Enter a trade only when the 'L' or 'S' label appears on the chart AND the Action panel on the dashboard displays LONG SIGNAL or SHORT SIGNAL. Long Entry (L): Condition: 'L' label appears (All Long conditions met). Verification: Confirm the Trend Line and candle color are in the yellow range. Short Entry (S): Condition: 'S' label appears (All Short conditions met). Verification: Confirm the Trend Line and candle color are in the purple range. 🛡️ Risk and Position Management Stop-Loss (SL): A common practice is to place the Stop-Loss below the low of the signal candle (for Long) or above the high of the signal candle (for Short), or beyond a recent significant support/resistance level. Exit Strategy (Three Options): Opposite Signal: Close the position immediately if the opposite signal ('S' during a Long, or 'L' during a Short) occurs. RSI Extremes: Consider taking partial profits if the RSI reaches 70 (for Long) or 30 (for Short), indicating potential exhaustion. Trend Line Crossover: Exit the position if the price breaks or crosses the Trend Line, causing the candle color to change. 🖥️ Dashboard Utilization Tips The dashboard provides contextual information to validate the signal: RSI: Signals occurring within the neutral 30-70 zone suggest a stronger developing trend. If near 70/30, consider the risk of reversal. Vol Status ('High'): If the volume status is 'High' when the signal fires, the signal's power is likely high, indicating a higher probability of significant movement. Day High/Low: Use these values as a secondary reference for setting initial Stop-Loss or Take-Profit targets.
مؤشر Pine Script®
من ‎wjdtks255‎
2
Real Relative Strength Indicator### What is RRS (Real Relative Strength)? RRS is a volatility-normalized relative strength indicator that shows you – in real time – whether your stock, crypto, or any asset is genuinely beating or lagging the broader market after adjusting for risk and volatility. Unlike the classic “price ÷ SPY” line that gets completely fooled by volatility regimes, RRS answers the only question that actually matters to professional traders: “Is this ticker moving better (or worse) than the market on a risk-adjusted basis right now?” It does this by measuring the excess momentum of your ticker versus a benchmark (SPY, QQQ, BTC, etc.) and then dividing that excess by the average volatility (ATR) of both instruments. The result is a clean, centered-around-zero oscillator that works the same way in calm markets, crash markets, or parabolic bull runs. ### How to Use the RRS Indicator (Aqua/Purple Area Version) in Practice The indicator is deliberately simple to read once you know the rules: Positive area (aqua) means genuine outperformance. Negative area (purple) means genuine underperformance. The farther from zero, the stronger the leadership or weakness. #### Core Signals and How to Trade Them - RRS crossing above zero → one of the highest-probability long signals in existence. The asset has just started outperforming the market on a risk-adjusted basis. Enter or add aggressively if price structure agrees. - RRS crossing below zero → leadership is ending. Tighten stops, take partial or full profits, or flip short if you trade both sides. - RRS above +2 (bright aqua area) → clear leadership. This is where the real money is made in bull markets. Trail stops, add on pullbacks, let winners run. - RRS below –2 (bright purple area) → clear distribution or capitulation. Avoid new longs, consider short entries or protective puts. - Extreme readings above +4 or below –4 (background tint appears) → rare, very high-conviction moves. Treat these like once-a-month opportunities. - Divergence (not plotted here, but easy to spot visually): price making new highs while the aqua area is shrinking → distribution. Price making new lows while the purple area is shrinking → hidden buying and coming reversal. #### Best Settings by Style and Asset Class For stocks and ETFs: keep benchmark as SPY (or QQQ for tech-heavy names) and length 14–20 on daily/4H charts. For crypto: change the benchmark to BTCUSD (or ETHUSD) immediately — otherwise the reading is meaningless. Length 10–14 works best on 1H–4H crypto charts because volatility is higher. For day trading: drop length to 10–12 and use 15-minute or 5-minute charts. Signals are faster and still extremely clean. #### Highest-Edge Setups (What Actually Prints Money) - RRS crosses above zero while price is still below a major moving average (50 EMA, 200 SMA, etc.) → early leadership, often catches the exact bottom of a new leg up. - RRS already deep aqua (+3 or higher) and price pulls back to support without RRS dropping below +1 → textbook add-on or re-entry zone. - RRS deep purple and suddenly turns flat or starts curling up while price is still falling → hidden accumulation, usually the exact low tick. That’s it. Master these few rules and the RRS becomes one of the most powerful edge tools you will ever use for rotation trading...
مؤشر Pine Script®
من ‎EMA34TRADER‎
REMS - Deep SynergyThis is a more flexible version of the REMS Synergy indicator. Like other indicators in the REMS family, it builds upon the foundations assessing the relationships between RSI, EMAs, MACDs, and Stochastic RSI across multiple timeframes. Designed to help traders identify less frequent, but high probability entries across 2 time frames. Uses 3 levels of confluence indicators for both long and short moves. Features 3 levels of confluence across 2 timeframes. All 3 levels allow filtering of any combination of REMS filters. Features more options and customization than previous REMS Synergy. Includes VWAP and 4 EMAs as optional visual representations. Includes 'Enhanced Candles' than can colour code candlesticks for better visual identification. (off by default) Originally designed with 5 minute and 2 minute timeframes in mind, and pairs well with REMS First Strike and/or REMS Snap Shot indicators. This version features no hard-coded inputs and allows for more freedom than previous version. With the added flexibility comes the ability for the indicator to be more easily stacked.
مؤشر Pine Script®
من ‎KodiakMarket‎
Titan AI: EWO Pro + Divergencias de VolumenBINANCE:BTCUSDT.P The indicator is only in Spanish. Titan AI: EWO Pro is not your standard Elliott Wave Oscillator. It is a next-generation Order Flow & Volume engine designed to detect the true intent of the market. Unlike traditional oscillators that rely solely on price action, Titan EWO Pro incorporates a "Volume Efficiency" algorithm normalized via Z-Score (Standard Deviation). This indicator is built for traders who need to see what is happening inside the candles. It answers the critical question: "Is the price moving with real institutional backing, or is it a fake-out with no volume?" With the integrated "GOD MODE" Dashboard, you get a tactical Heads-Up Display (HUD) that translates complex mathematical data into clear, actionable signals in real-time. 💎 Key Features Z-Score Normalized EWO: Standard EWO indicators can vary wildly depending on the asset price (BTC vs. Forex). Titan EWO Pro normalizes the data using Standard Deviations (Z-Score). This means a value of +2.0 represents a statistically significant extreme move, regardless of the timeframe or asset. Volume Efficiency Algorithm: The core calculation measures (Close - Open) / Volume. This determines how much volume was required to move the price. High efficiency means price is moving easily (strong trend). Low efficiency means high volume but little movement (absorption/reversal). Volume Divergences: Automatically detects discrepancies between Price Action and Order Flow. Bullish Divergence: Price makes a Lower Low, but Titan EWO makes a Higher Low (Accumulation). Bearish Divergence: Price makes a Higher High, but Titan EWO makes a Lower High (Distribution). Institutional Extremes (Reversals): The indicator marks the +2.0 and -2.0 Standard Deviation levels. When the histogram crosses these levels, the market is statistically overextended. Watch for Triangle Signals indicating a potential "V" reversal or exhaustion. GOD MODE Dashboard (HUD): A professional panel fixed to your screen (customizable position). Trend: Displays strict Bullish (Green) or Bearish (Red) status. Strength (Z): The exact Z-Score value. Momentum: Tells you if the move is "Accelerating" or "Braking" (Decelerating). Divergence: Real-time alert status. 🚀 How to Use 1. Trend Following (The Wave) Green Bars: Look for Longs. Momentum is bullish and Order Flow supports the move. Red Bars: Look for Shorts. Momentum is bearish. Darker Colors: If the bars turn dark green or dark red, momentum is slowing down (Deceleration). This is a warning to tighten Stop Losses or wait for a new impulse. 2. Trading Reversals (The Extremes) Statistical Extremes: If the histogram punches through the +2.0 or -2.0 dotted lines, the move is overextended (climax). Triangles: Small triangles appear at the top/bottom of the chart when these extremes are hit. This is often a "Take Profit" signal or a contrarian entry point if confirmed by price action. 3. Divergences (The Smart Entry) Look for the "Vol" circles. A Green Circle at the bottom indicates that sellers are exhausted, but volume flow is shifting bullish. A Red Circle at the top indicates that buyers are exhausted (price up, but volume flow down). 4. The Dashboard Use the dashboard for confirmation. Ideally: You want "ALCISTA" (Bullish), "ACELERANDO" (Accelerating), and a high Z-Score (> 0.5) for a strong Long trade. ⚙️ Settings EWO Length: The lookback period for the oscillator (Default: 12). Smoothing: Helps reduce noise in the histogram (Default: 10). Pivot Lookback: Sensitivity for divergence detection (Default: 5). Dashboard: You can toggle the panel ON/OFF, change its size (Tiny/Small/Normal), and move it to any corner of the chart. Disclaimer This tool is for educational and analytical purposes only. Trading involves risk. Always use proper risk management. Past performance does not guarantee future results.
مؤشر Pine Script®
من ‎TitanAI‎
Volume Pressure OscillatorThe Volume Pressure Oscillator (VPO) is a momentum-based indicator that measures the directional pressure of cumulative volume delta (CVD) combined with price efficiency. It oscillates between 0 and 100, with readings above 50 indicating net buying pressure and readings below 50 indicating net selling pressure. The indicator is designed to identify the strength and sustainability of volume-driven trends while remaining responsive during consolidation periods. How the Indicator Works The VPO analyzes volume flow by examining price action at lower timeframes to build a Cumulative Volume Delta (CVD). For each chart bar, the indicator looks at intrabar price movements to classify volume as either buying volume or selling volume. These classifications are accumulated into a running total that tracks net directional volume. The indicator then measures the momentum of this CVD over both short-term and longer-term periods, providing responsiveness to recent changes while maintaining awareness of the broader trend. These momentum readings are normalized using percentile ranking, which creates a stable 0-100 scale that works consistently across different instruments and market conditions. A key feature is the extreme zone persistence mechanism. When the indicator enters extreme zones (above 80 or below 20), it maintains elevated readings as long as volume pressure continues in the same direction. This allows the VPO to stay in extreme zones during strong trends rather than quickly reverting to neutral, making it useful for identifying sustained volume pressure rather than just temporary spikes. What Makes This Indicator Different While many indicators measure volume or volume delta, the VPO specifically measures how aggressively CVD is currently changing and whether that pressure is being sustained. It's the difference between knowing "more volume has accumulated on the buy side" versus "buying pressure is intensifying right now and shows signs of continuation." 1. Focus on CVD Momentum, Not CVD Levels Most CVD indicators display the cumulative volume delta as a line that trends up or down indefinitely. The VPO is fundamentally different - it measures the slope of CVD rather than the absolute level. This transforms CVD from an unbounded cumulative metric into a bounded 0-100 oscillator that shows the intensity and direction of current volume pressure, not just the historical accumulation. 2. Designed to Stay in Extremes During Trends Unlike traditional oscillators that treat extreme readings (above 80 or below 20) as overbought/oversold reversal signals, the VPO is engineered to oscillate within extreme zones during strong trends. When sustained buying or selling pressure exists, the indicator remains elevated (e.g., 80-95 or 5-20) rather than quickly reverting to neutral. This makes it useful for trend continuation identification rather than exclusively for reversal trading. 3. Percentile-Based Normalization The VPO uses percentile ranking over a lookback window, which provides consistent behavior across different instruments, timeframes, and volatility regimes without constant recalibration. 4. Dual-Timeframe Momentum Synthesis The indicator simultaneously considers short-term CVD momentum (responsive to recent changes) and longer-term CVD momentum (tracking trend direction), weighted and combined with a slow-moving trend bias. This multi-timeframe approach helps it stay responsive in ranging markets while maintaining context during trends. How to Use the Indicator Understanding the Zones: 80-100 (Strong Buying Pressure): CVD momentum is strongly positive. In trending markets, the indicator oscillates within this zone rather than immediately reverting to neutral. This suggests sustained accumulation and trend continuation probability. 60-80 (Moderate Buying): Positive volume pressure but not extreme. Suitable for identifying pullback entry opportunities within uptrends. 40-60 (Neutral Zone): Volume pressure is balanced or unclear. No strong directional edge from volume. Often seen during consolidation or trend transitions. 20-40 (Moderate Selling): Negative volume pressure developing. May indicate distribution or downtrend continuation setups. 0-20 (Strong Selling Pressure): CVD momentum is strongly negative. During downtrends, sustained readings in this zone suggest continued distribution and downside follow-through probability. Practical Applications: Trend Confirmation: When price makes new highs/lows, check if VPO confirms with similarly elevated readings. Divergences (price making new highs while VPO fails to reach prior highs) may indicate weakening momentum. Range Trading: During consolidation, the VPO typically oscillates between 30-70. Readings toward the low end of the range (30-40) may present accumulation opportunities, while readings at the high end (60-70) may indicate distribution zones. Extreme Persistence: If VPO reaches 90+ or drops below 10, this indicates exceptional volume pressure. Rather than fading these extremes immediately, monitor whether the indicator stays elevated. Sustained extreme readings suggest strong trend continuation potential. Context with Price Action: The VPO is most effective when combined with price action or other orderflow indicators. Use the indicator to gauge whether volume is confirming or contradicting. What the Indicator Does NOT Do: It does not provide specific entry or exit signals It does not predict future price direction It does not guarantee profitable trades It should not be used as a standalone trading system Settings Explanation Momentum Period (Default: 14) This parameter controls the lookback period for CVD rate-of-change calculations. Lower values (5-10): Make the indicator more responsive to recent volume changes. Useful for shorter-term trading and more active oscillation. May produce more whipsaws in choppy markets. Default value (14): Provides balanced responsiveness while filtering out most noise. Suitable for swing trading and daily timeframe analysis. Higher values (20-50): Create smoother readings and focus on longer-term volume trends. Better for position trading and reducing false signals, but with slower reaction to genuine changes in volume pressure. Important Notes: This indicator requires intrabar data to function properly. On some instruments or timeframes where lower timeframe data is not available, the indicator may not display. The indicator uses request.security_lower_tf() which has a limit of intrabars. On higher timeframes, this provides extensive history, but on very low timeframes (<1-minute charts), the indicator may only cover limited historical bars. Volume data quality varies by exchange and instrument. The indicator's effectiveness depends on accurate volume reporting from the data feed.
مؤشر Pine Script®
من ‎VEGAlgo‎
New Age RSI [R4D1]New Age - Clean RSI with Dynamic Clouds ⚠️ BETA VERSION - Currently in testing phase. Feedback welcome! A visually enhanced RSI indicator with beautiful gradient clouds, dynamic colors, and an informative dashboard. 🎯 FEATURES: - Dynamic cloud intensity - glows stronger at extremes - Gradient RSI line - color changes based on value - Fill between RSI and midline (50) - Clean buy/sell signals at zone exits - Real-time dashboard with trend & momentum - Fully customizable colors and levels 📊 SIGNALS: - 🟢 BUY: RSI crosses above oversold level (exits oversold) - 🔴 SELL: RSI crosses below overbought level (exits overbought) 🎨 VISUAL ELEMENTS: - Red cloud (70-100): Overbought zone - intensity increases as RSI rises - Green cloud (0-30): Oversold zone - intensity increases as RSI falls - Gray zone (30-70): Neutral area - Gradient line: Green (oversold) → Red (overbought) - Fill to midline: Shows momentum direction 💡 DASHBOARD SHOWS: - RSI value with colored background - RSI MA (14-period moving average) - Zone status (Overbought/Oversold/Neutral) - Trend direction (Bullish/Bearish) - Momentum strength (Strong/Rising/Fading) ⚙️ SETTINGS: - RSI Length (default: 14) - Overbought level (default: 70) - Oversold level (default: 30) - Bull/Bear colors 📈 CHART TYPE SETTINGS: - Heikin Ashi charts: Set source to "(O + H + L + C) / 4" - Normal candles: Set source to "Close" Works perfectly with Supertrend, MACD, and StochRSI for confirmation signals. 🔧 This indicator is in active development. Please report any bugs or suggestions!
مؤشر Pine Script®
من ‎AL_R4D1‎
Ehlers Dominant Cycle Stochastic RSIEhlers Enhanced Cycle Stochastic RSI OVERVIEW The Ehlers Enhanced Cycle Stochastic RSI is a momentum oscillator that automatically adjusts its lookback periods based on the dominant market cycle. Unlike traditional Stochastic RSI which uses fixed periods, this indicator detects the current cycle length and scales its calculations—making it responsive in fast markets and stable in slow ones. The indicator combines John Ehlers' digital signal processing research with the classic Stochastic RSI indicator, then adds a confirmation system to ensure cycle measurements are reliable. THE THEORY Traditional oscillators use fixed lookback periods (ie, 14-bar RSI). This creates a fundamental problem: markets don't move in fixed cycles. A 14-period RSI might capture the rhythm perfectly during one market phase, then completely miss it when conditions change. Ehlers' research demonstrated that price data contains measurable cyclical components. If you can detect the dominant cycle length, you can tune your indicators to match it—like tuning a radio to the right frequency. This indicator takes that concept further by using three independent cycle detection methods and only trusting the measurement when they agree: Hilbert Transform — A mathematical technique from signal processing that extracts cycle period from the phase relationship between price and its derivative. It is fast but can be noisy. Autocorrelation Periodogram — Measures how similar the price series is to lagged versions of itself. The lag with highest correlation reveals the dominant cycle. More stable than Hilbert, but slightly slower to adapt. Goertzel Algorithm (DFT) — A frequency-domain approach that calculates spectral power at each candidate period. Identifies which frequencies contain the most energy. When all three methods converge on similar period estimates, confidence is high. When they disagree, the market may be in a non-cyclical or in transition. HOW IT CHANGES THE STOCHASTIC RSI Standard Stochastic RSI: 1. Calculate RSI with fixed period (14 bars) 2. Apply Stochastic formula over fixed period (14 bars) 3. Smooth with fixed periods Ehlers Enhanced Cycle Stochastic RSI: 1. Detect dominant cycle using three methods 2. Confirm cycle measurement (methods must agree) 3. Calculate RSI with period scaled to the detected cycle 4. Apply Stochastic formula with cycle-scaled lookback 5. Smooth adaptively The result: when the market is cycling quickly (say, 15-bar cycles), the indicator uses shorter periods and responds faster. When the market stretches into longer cycles (such as 40-bar cycles), it automatically extends its lookback to avoid whipsaws. The Period Multipliers let you fine-tune this relationship: • 1.0 = Use the full detected cycle (smoother, fewer signals) • 0.5 = Use half the cycle (more responsive, catches turns earlier) INTERPRETATION Reading the Oscillator: • K Line (Blue) — The main signal line. Moves between 0 and 100. • D Line (Orange) — Smoothed version of K. Use for confirmation. • Above 80 — Overbought. Momentum stretched to upside. • Below 20 — Oversold. Momentum stretched to downside. • Crossovers — K crossing above D suggests bullish momentum shift; K crossing below D suggests bearish. Spectral Dilation (optional): When enabled, applies a bandpass filter before cycle detection. This isolates the frequency band of interest and reduces noise. Useful for: • Very noisy instruments • Lower timeframes • When confidence stays persistently low
مؤشر Pine Script®
من ‎B3AR_Trades‎
Penny Stock Golden Cross ScannerPenny Stock Golden Cross Scanner Scan and track potential breakout opportunities in penny stocks with this Golden Cross Scanner. Designed for traders looking at low-priced, high-volume stocks, this indicator identifies bullish setups using 50, 100, and 200-period moving averages. Key Features: ✅ Monitors up to 10 user-defined tickers. ✅ Filters penny stocks by maximum price and minimum volume. ✅ Detects proximity to 100 MA and 200 MA for potential golden cross or support/resistance signals. ✅ Assigns signal tiers for each stock (Tier 1 🔥, Tier 2 ⚡, Tier 3 📊) based on price action relative to moving averages. ✅ Customizable scanner table with position options on the chart. ✅ Real-time plotting of 50, 100, and 200 moving averages for context. ✅ Option to display only stocks currently generating signals.
مؤشر Pine Script®
من ‎Timmy741‎
The Oracle: Dip & Top Adaptive Sniper [Hakan Yorganci]█ OVERVIEW The Oracle: Dip & Top Adaptive Sniper is a precision-focused trend trading strategy designed to solve the biggest problem in swing trading: Timing. Most trend-following strategies chase price ("FOMO"), buying when the asset is already overextended. The Oracle takes a different approach. It adopts a "Sniper" mentality: it identifies a strong macro trend but patiently waits for a Mean Reversion (pullback) to execute an entry at a discounted price. By combining the structural strength of Moving Averages (SMA 50/200) with the momentum precision of RSI and the volatility filtering of ADX, this script filters out noise and targets high-probability setups. █ HOW IT WORKS This strategy operates on a strictly algorithmic protocol known as "The Yorganci Protocol," which involves three distinct phases: Filter, Target, and Execute. 1. The Macro Filter (Trend Identification) * SMA 200 Rule: By default, the strategy only scans for buy signals when the price is trading above the 200-period Simple Moving Average. This ensures we are always trading in the direction of the long-term bull market. * Adaptive Switch: A new feature allows users to toggle the Only Buy Above SMA 200? filter OFF. This enables the strategy to hunt for oversold bounces (dead cat bounces) even during bearish or neutral market structures. 2. The Volatility Filter (ADX Integration) * Sideways Protection: One of the main weaknesses of moving average strategies is "whipsaw" losses during choppy, ranging markets. * Solution: The Oracle utilizes the ADX (Average Directional Index). It will BLOCK any trade entry if the ADX is below the threshold (Default: 20). This ensures capital is only deployed when a genuine trend is present. 3. The Sniper Entry (Buying the Dip) * Instead of buying on breakout strength (e.g., RSI > 60), The Oracle waits for the RSI Moving Average to dip into the "Value Zone" (Default: 45) and cross back up. This technique allows for tighter stops and higher Risk/Reward ratios compared to traditional breakout systems. █ EXIT STRATEGY The Oracle employs a dynamic dual-exit mechanism to maximize gains and protect capital: * Take Profit (The Peak): The strategy monitors RSI heat. When the RSI Moving Average breaches the Overbought Threshold (Default: 75), it signals a "Take Profit", securing gains near the local top before a potential reversal. * Stop Loss (Trend Invalidated): If the market structure fails and the price closes below the 50-period SMA, the position is immediately closed to prevent deep drawdowns. █ SETTINGS & CONFIGURATION * Moving Averages: Fully customizable lengths for Support (SMA 50) and Trend (SMA 200). * Trend Filter: Checkbox to enable/disable the "Bull Market Only" rule. * RSI Thresholds: * Sniper Buy Level: Adjustable (Default: 45). Lower values = Deeper dips, fewer trades. * Peak Sell Level: Adjustable (Default: 75). Higher values = Longer holds, potentially higher profit. * ADX Filter: Checkbox to enable/disable volatility filtering. █ BEST PRACTICES * Timeframe: Designed primarily for 4H (4-Hour) charts for swing trading. It can also be used on 1H for more frequent signals. * Assets: Highly effective on trending assets such as Bitcoin (BTC), Ethereum (ETH), and high-volume Altcoins. * Risk Warning: This strategy is designed for "Long Only" spot or leverage trading. Always use proper risk management. █ CREDITS * Original Concept: Inspired by the foundational work of Murat Besiroglu (@muratkbesiroglu). * Algorithm Development & Enhancements: Developed by Hakan Yorganci (@hknyrgnc). * Modifications include: Integration of ADX filters, Mean Reversion entry logic (RSI Dip), and Dynamic Peak Profit taking.
استراتيجية Pine Script®
من ‎hknyrgnc‎
Relative Strength Heatmap [BackQuant]Relative Strength Heatmap A multi-horizon RSI matrix that compresses 20 different lookbacks into a single panel, turning raw momentum into a visual “pressure gauge” for overbought and oversold clustering, trend exhaustion, and breadth of participation across time horizons. What this is This indicator builds a strip-style heatmap of 20 RSIs, each with a different length, and stacks them vertically as colored tiles in a single pane. Every tile is colored by its RSI value using your chosen palette, so you can see at a glance: How many “fast” versus “slow” RSIs are overbought or oversold. Whether momentum is concentrated in the short lookbacks or spread across the whole curve. When momentum extremes cluster, signalling strong market pressure or exhaustion. On top of the tiles, the script plots two simple breadth lines: A white line that counts how many RSIs are above 70 (overbought cluster). A black line that counts how many RSIs are below 30 (oversold cluster). This turns a single symbol’s RSI ladder into a compact “market pressure gauge” that shows not only whether RSI is overbought or oversold, but how many different horizons agree at the same time. Core idea A single RSI looks at one length and one timescale. Markets, however, are driven by flows that operate on multiple horizons at once. By computing RSI over a ladder of lengths, you approximate a “term structure” of strength: Short lengths react to immediate swings and very recent impulses. Medium lengths reflect swing behaviour and local trends. Long lengths reflect structural bias and higher timeframe regime. When many lengths agree, for example 10 or more RSIs all above 70, it suggests broad participation and strong directional pressure. When only a few fast lengths stretch to extremes while longer ones stay neutral, the move is more fragile and more likely to mean-revert. This script makes that structure visible as a heatmap instead of forcing you to run many separate RSI panes. How it works 1) Generating RSI lengths You control three parameters in the calculation settings: RS Period – the base RSI length used for the shortest strip. RSI Step – the amount added to each successive RSI length. RSI Multiplier – a global scaling factor applied after the step. Each of the 20 RSIs uses: RSI length = round((base_length + step × index) × multiplier) , where the index goes from 0 to 19. That means: RSI 1 uses (len + step × 0) × mult. RSI 2 uses (len + step × 1) × mult. … RSI 20 uses (len + step × 19) × mult. You can keep the ladder dense (small step and multiplier) or stretch it across much longer horizons. 2) Heatmap layout and grouping Each RSI is plotted as an “area” strip at a fixed vertical level using histbase to stack them: RSI 1–5 form Group 1. RSI 6–10 form Group 2. RSI 11–15 form Group 3. RSI 16–20 form Group 4. Each group has a toggle: Show only Group 1 and 2 if you care mainly about fast and medium horizons. Show all groups for a full spectrum from very short to very long. Hide any group that feels redundant for your workflow. The actual numeric RSI values are not plotted as lines. Instead, each strip is drawn as a horizontal band whose fill color represents the current RSI regime. 3) Palette-based coloring Each tile’s color is driven by the RSI value and your chosen palette. The script includes several palettes: Viridis – smooth green to yellow, good for subtle reading. Jet – strong blue to red sequence with high contrast. Plasma – purple through orange to yellow. Custom Heat – cool blues to neutral grey to hot reds. Gray – grayscale from white to black for minimalistic layouts. Cividis, Inferno, Magma, Turbo, Rainbow – additional scientific and rainbow-style maps. Internally, RSI values are bucketed into ranges (for example, below 10, 10–20, …, 90–100). Each bucket maps to a unique colour for that palette. In all schemes, low RSI values are mapped to the “cold” or darker side and high RSI values to the “hot” or brighter side. The result is a true momentum heatmap: Cold or dark tiles show low RSI and oversold or compressed conditions. Mid tones show neutral or mid-range RSI. Warm or bright tiles show high RSI and overbought or stretched conditions. 4) Bull and bear breadth counts All 20 RSI values are collected into an array each bar. Two counters are then calculated: Bull count – how many RSIs are above 70. Bear count – how many RSIs are below 30. These are plotted as: A white line (“RSI > 70 Count”) for the overbought cluster. A black line (“RSI < 30 Count”) for the oversold cluster. If you enable the “Show Bull and Bear Count” option, you get an immediate reading of how many of the 20 horizons are stretched at any moment. 5) Cluster alerts and background tagging Two alert conditions monitor “strong cluster” regimes: RSI Heatmap Strong Bull – triggers when at least 10 RSIs are above 70. RSI Heatmap Strong Bear – triggers when at least 10 RSIs are below 30. When one of these conditions is true, the indicator can tint the background of the chart using a soft version of the current palette. This visually marks stretches where momentum is extreme across many lengths at once, not just on a single RSI. What it plots In one oscillator window, the indicator provides: Up to 20 horizontal RSI strips, each representing a different RSI length. Color-coded tiles reflecting the current RSI value for each length. Group toggles to show or hide each block of five RSIs. An optional white line that counts how many RSIs are above 70. An optional black line that counts how many RSIs are below 30. Optional background highlights when the number of overbought or oversold RSIs passes the strong-cluster threshold. How it measures breadth and pressure Single-symbol breadth Breadth is usually defined across a basket of symbols, such as how many stocks advance versus decline. This indicator uses the same concept across time horizons for a single symbol. The question becomes: “How many different RSI lengths are stretched in the same direction at once?” Examples: If only 2 or 3 of the shortest RSIs are above 70, bull count stays low. The move is fast and local, but not yet broadly supported. If 12 or more RSIs across short, medium and long lengths are above 70, the bull count spikes. The move has broad momentum and strong upside pressure. If 10 or more RSIs are below 30, bear count spikes and you are in a broad oversold regime. This is breadth of momentum within one market. Market pressure gauge The combination of heatmap tiles and breadth lines acts as a pressure gauge: High bull count with warm colors across most strips indicates strong upside pressure and crowded long positioning. High bear count with cold colors across most strips indicates strong downside pressure and capitulation or forced selling. Low counts with a mixed heatmap indicate neutral pressure, fragmented flows, or range-bound conditions. You can treat the strong-cluster alerts as “extreme pressure” signals. When they fire, the market is heavily skewed in one direction across many horizons. How to read the heatmap Horizontal patterns (through time) Look along the time axis and watch how the colors evolve: Persistent hot tiles across many strips show sustained bullish pressure and trend strength. Persistent cold tiles across many strips show sustained bearish pressure and weak demand. Frequent flipping between hot and cold colours indicates a choppy or mean-reverting environment. Vertical structure (across lengths at one bar) Focus on a single bar and read the column of tiles from top to bottom: Short RSIs hot, long RSIs neutral or cool: early trend or short-term fomo. Price has moved fast, longer horizons have not caught up. Short and long RSIs all hot: mature, entrenched uptrend. Broad participation, high pressure, greater risk of blow-off or late-entry vulnerability. Short RSIs cold but long RSIs mid to high: pullback in a higher timeframe uptrend. Dip-buy and continuation setups are often found here. Short RSIs high but long RSIs low: countertrend rallies within a broader downtrend. Good hunting ground for fades and short entries after a bounce. Bull and bear breadth lines Use the two lines as simple, numeric breadth indicators: A rising white line shows more RSIs pushing above 70, so bullish pressure is expanding in breadth. A rising black line shows more RSIs pushing below 30, so bearish pressure is expanding in breadth. When both lines are low and flat, few horizons are extreme and the market is in mid-range territory. Cluster zones When either count crosses the strong threshold (for example 10 out of 20 RSIs in extreme territory): A strong bull cluster marks a broadly overbought regime. Trend followers may see this as confirmation. Mean-reversion traders may see it as a late-stage or blow-off context. A strong bear cluster marks a broadly oversold regime. Downtrend traders see strong pressure, but the risk of sharp short-covering bounces also increases. Trading applications Trend confirmation Use the heatmap and breadth lines as a trend filter: Prefer long setups when the heatmap shows mostly mid to high RSIs and the bull count is rising. Avoid fresh shorts when there is a strong bull cluster, unless you are specifically trading exhaustion. Prefer short setups when the heatmap is mostly low RSIs and the bear count is rising. Avoid aggressive longs when a strong bear cluster is active, unless you are trading reflexive bounces. Mean-reversion timing Treat cluster extremes as exhaustion zones: Look for reversal patterns, failed breakouts, or order flow shifts when bull count is very high and price starts to stall or diverge. Look for reflexive bounce potential when bear count is very high and price stops making new lows or shows absorption at the lows. Use the palette and counts together: hot tiles plus a peaking white line can mark blow-off conditions, cold tiles plus a peaking black line can mark capitulation. Regime detection and risk toggling Use the overall shape of the ladder over time: If upper strips stay warm and lower strips stay neutral or warm for extended periods, the market is in an uptrend regime. You can justify higher risk for long-biased strategies. If upper strips stay cold and lower strips stay neutral or cold, the market is in a downtrend regime. You can justify higher risk for short-biased strategies or defensive positioning. If colours and counts flip frequently, you are likely in a range or choppy regime. Consider reducing size or using more tactical, short-term strategies. Multi-horizon synchronization You can think of each RSI length as a proxy for a different “speed” of the same market: When only fast RSIs are stretched, the move is local and less robust. When fast, medium and slow RSIs align, the move has multi-horizon confirmation. You can require a minimum bull or bear count before allowing your main strategy to engage. Spotting hidden shifts Sometimes price appears flat or drifting, but the heatmap quietly cools or warms: If price is sideways while many hot tiles fade toward neutral, momentum is decaying under the surface and trend risk is increasing. If price is sideways while many cold tiles climb back toward neutral, selling pressure is decaying and the tape is repairing itself. Settings overview Calculation Settings RS Period – base RSI length for the shortest strip. RSI Step – the increment added to each successive RSI length. RSI Multiplier – scales all generated RSI lengths. Calculation Source – the input series, such as close, hlc3 or others. Plotting and Coloring Settings Heatmap Color Palette – choose between Viridis, Jet, Plasma, Custom Heat, Gray, Cividis, Inferno, Magma, Turbo or Rainbow. Show Group 1 – toggles RSI 1–5. Show Group 2 – toggles RSI 6–10. Show Group 3 – toggles RSI 11–15. Show Group 4 – toggles RSI 16–20. Show Bull and Bear Count – enables or disables the two breadth lines. Alerts RSI Heatmap Strong Bull – fires when the number of RSIs above 70 reaches or exceeds the configured threshold (default 10). RSI Heatmap Strong Bear – fires when the number of RSIs below 30 reaches or exceeds the configured threshold (default 10). Tuning guidance Fast, tactical configurations Use a small base RS Period, for example 2 to 5. Use a small RSI Step, for tight clustering around the fast horizon. Keep the multiplier near 1.0 to avoid extreme long lengths. Focus on Group 1 and Group 2 for intraday and short-term trading. Swing and position configurations Use a mid-range RS Period, for example 7 to 14. Use a moderate RSI Step to fan out into slower horizons. Optionally use a multiplier slightly above 1.0. Keep all four groups enabled for a full view from fast to slow. Macro or higher timeframe configurations Use a larger base RS Period. Use a larger RSI Step so the top of the ladder reaches very slow lengths. Focus on Group 3 and Group 4 to see structural momentum. Treat clusters as regime markers rather than frequent trading signals. Notes This indicator is a contextual tool, not a standalone trading system. It does not model execution, spreads, slippage or fundamental drivers. Use it to: Understand whether momentum is narrow or broad across horizons. Confirm or filter existing signals from your primary strategy. Identify environments where the market is crowded into one side. Distinguish between isolated spikes and truly broad pressure moves. The Relative Strength Heatmap is designed to answer a simple but powerful question: “How many versions of RSI agree with what I am seeing on the chart?” By compressing those answers into a single panel with clear colour coding and breadth lines, it becomes a practical, visual gauge of momentum breadth and market pressure that you can overlay on any trading framework.
مؤشر Pine Script®
من ‎BackQuant‎
3
ADX Forecast Colorful [DiFlip]ADX Forecast Colorful Introducing one of the most advanced ADX indicators available — a fully customizable analytical tool that integrates forward-looking forecasting capabilities. ADX Forecast Colorful is a scientific evolution of the classic ADX, designed to anticipate future trend strength using linear regression. Instead of merely reacting to historical data, this indicator projects the future behavior of the ADX, giving traders a strategic edge in trend analysis. ⯁ Real-Time ADX Forecasting For the first time, a public ADX indicator incorporates linear regression (least squares method) to forecast the future behavior of ADX. This breakthrough approach enables traders to anticipate trend strength changes based on historical momentum. By applying linear regression to the ADX, the indicator plots a projected trendline n periods ahead — helping users make more accurate and timely trading decisions. ⯁ Highly Customizable The indicator adapts seamlessly to any trading style. It offers a total of 26 long entry conditions and 26 short entry conditions, making it one of the most configurable ADX tools on TradingView. Each condition is fully adjustable, enabling the creation of statistical, quantitative, and automated strategies. You maintain full control over the signals to align perfectly with your system. ⯁ Innovative and Science-Based This is the first public ADX indicator to apply least-squares predictive modeling to ADX dynamics. Technically, it embeds machine learning logic into a traditional trend-strength indicator. Using linear regression as a predictive engine adds powerful statistical rigor to the ADX, turning it into an intelligent, forward-looking signal generator. ⯁ Scientific Foundation: Linear Regression Linear regression is a fundamental method in statistics and machine learning used to model the relationship between a dependent variable y and one or more independent variables x. The basic formula for simple linear regression is: y = β₀ + β₁x + ε Where: y  = predicted value (e.g., future ADX) x  = explanatory variable (e.g., bar index or time) β₀ = intercept β₁ = slope (rate of change) ε   = random error term The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the ADX projection based on recent trends. ⯁ Least Squares Estimation To minimize the error, the regression coefficients are calculated as: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: Σ = summation x̄ and ȳ = means of x and y i ranges from 1 to n (number of data points) These formulas provide the best linear unbiased estimator under Gauss-Markov conditions — assuming constant variance and linearity. ⯁ Linear Regression in Machine Learning Linear regression is a foundational algorithm in supervised learning. Its power in producing quantitative predictions makes it essential in AI systems, predictive analytics, time-series forecasting, and automated trading. Applying it to the ADX essentially places an intelligent forecasting engine inside a classic trend tool. ⯁ Visual Interpretation Imagine an ADX time series like this: Time → ADX  → The regression line smooths these values and projects them n periods forward, creating a predictive trajectory. This forecasted ADX line can intersect with the actual ADX, offering smarter buy and sell signals. ⯁ Summary of Scientific Concepts Linear Regression: Models variable relationships with a straight line. Least Squares: Minimizes prediction errors for best fit. Time-Series Forecasting: Predicts future values using historical data. Supervised Learning: Trains models to predict outcomes from inputs. Statistical Smoothing: Reduces noise and highlights underlying trends. ⯁ Why This Indicator Is Revolutionary Scientifically grounded: Based on rigorous statistical theory. Unprecedented: First public ADX using least-squares forecast modeling. Smart: Uses machine learning logic. Forward-Looking: Generates predictive, not just reactive, signals. Customizable: Flexible for any strategy or timeframe. ⯁ Conclusion By merging ADX and linear regression, this indicator enables traders to predict market momentum rather than merely follow it. ADX Forecast Colorful is not just another indicator — it’s a scientific leap forward in technical analysis. With 26 fully configurable entry conditions and smart forecasting, this open-source tool is built for creating cutting-edge quantitative strategies. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What is the ADX? The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down. The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength. ⯁ How to use the ADX? The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones: Strong Trend: When the ADX is above 25, indicating a strong trend. Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend. Neutral Zone: Between 20 and 25, where the trend strength is unclear. ⯁ Entry Conditions Each condition below is fully configurable and can be combined to build precise trading logic. 📈 BUY 🅰️  Signal Validity: The signal will remain valid for X bars . 🅰️  Signal Sequence: Configurable as AND or OR . 🅰️ +DI > -DI 🅰️ +DI < -DI 🅰️ +DI > ADX 🅰️ +DI < ADX 🅰️ -DI > ADX 🅰️ -DI < ADX 🅰️ ADX > Threshold 🅰️ ADX < Threshold 🅰️ +DI > Threshold 🅰️ +DI < Threshold 🅰️ -DI > Threshold 🅰️ -DI < Threshold 🅰️ +DI (Crossover) -DI 🅰️ +DI (Crossunder) -DI 🅰️ +DI (Crossover) ADX 🅰️ +DI (Crossunder) ADX 🅰️ +DI (Crossover) Threshold 🅰️ +DI (Crossunder) Threshold 🅰️ -DI (Crossover) ADX 🅰️ -DI (Crossunder) ADX 🅰️ -DI (Crossover) Threshold 🅰️ -DI (Crossunder) Threshold 🔮 +DI (Crossover) -DI Forecast 🔮 +DI (Crossunder) -DI Forecast 🔮 ADX (Crossover) +DI Forecast 🔮 ADX (Crossunder) +DI Forecast 📉 SELL 🅰️  Signal Validity: The signal will remain valid for X bars . 🅰️  Signal Sequence: Configurable as AND or OR . 🅰️ +DI > -DI 🅰️ +DI < -DI 🅰️ +DI > ADX 🅰️ +DI < ADX 🅰️ -DI > ADX 🅰️ -DI < ADX 🅰️ ADX > Threshold 🅰️ ADX < Threshold 🅰️ +DI > Threshold 🅰️ +DI < Threshold 🅰️ -DI > Threshold 🅰️ -DI < Threshold 🅰️ +DI (Crossover) -DI 🅰️ +DI (Crossunder) -DI 🅰️ +DI (Crossover) ADX 🅰️ +DI (Crossunder) ADX 🅰️ +DI (Crossover) Threshold 🅰️ +DI (Crossunder) Threshold 🅰️ -DI (Crossover) ADX 🅰️ -DI (Crossunder) ADX 🅰️ -DI (Crossover) Threshold 🅰️ -DI (Crossunder) Threshold 🔮 +DI (Crossover) -DI Forecast 🔮 +DI (Crossunder) -DI Forecast 🔮 ADX (Crossover) +DI Forecast 🔮 ADX (Crossunder) +DI Forecast 🤖 Automation All BUY and SELL conditions are compatible with TradingView alerts, making them ideal for fully or semi-automated systems. ⯁ Unique Features Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill" Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill"
مؤشر Pine Script®
من ‎DiFlip‎
Super-AO Engine - Sentiment Ribbon - 11-29-25Super-AO Sentiment Ribbon by Signal Lynx Overview: The Super-AO Sentiment Ribbon is the visual companion to the Super-AO Strategy Suite. While the main strategy handles the complex mathematics of entries and risk management, this tool provides a simple "Traffic Light" visual at the top of your chart to gauge the overall health of the market. How It Works: This indicator takes the core components of the Super-AO strategy (The SuperTrend and the Awesome Oscillator), calculates the spread between them and the current price, and generates a normalized "Sentiment Score." Reading the Colors: 🟢 Lime / Green: Strong Upward Momentum. Ideally, you only want to take Longs here. 🟤 Olive / Yellow: Trend is weakening. Be careful with new entries, or consider taking profit. ⚪ Gray: The "Kill Zone." The market is chopping sideways. Automated strategies usually suffer here. 🟠 Orange / Red: Strong Downward Momentum. Ideally, you only want to take Shorts here. Integration: This script uses the same default inputs as our Super-AO Strategy Template and Alerts Template. Use them together to confirm your automated entries visually. About Signal Lynx: Free Scripts supporting Automation for the Night-Shift Nation 🌙 (www.signallynx.com)
مؤشر Pine Script®
من ‎SignalLynx‎
Super-AO with Risk Management Alerts Template - 11-29-25Super-AO with Risk Management: ALERTS & AUTOMATION Edition Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙 1. Overview This is the Indicator / Alerts companion to the Super-AO Strategy. While the Strategy version is built for backtesting (verifying profitability and checking historical performance), this Indicator version is built for Live Execution. We understand the frustration of finding a great strategy, only to realize you can't easily hook it up to your trading bot. This script solves that. It contains the exact same "Super-AO" logic and "Risk Management Engine" as the strategy version, but it is optimized to send signals to automation platforms like Signal Lynx, 3Commas, or any Webhook listener. 2. Quick Action Guide (TL;DR) Purpose: Live Signal Generation & Automation. Workflow: Use the Strategy Version to find profitable settings. Copy those settings into this Indicator Version. Set a TradingView Alert using the "Any Alert() function call" condition. Best Timeframe: 4 Hours (H4) and above. Compatibility: Works with any webhook-based automation service. 3. Why Two Scripts? Pine Script operates in two distinct modes: Strategy Mode: Calculates equity, drawdowns, and simulates orders. Great for research, but sometimes complex to automate. Indicator Mode: Plots visual data on the chart. This is the preferred method for setting up robust alerts because it is lighter weight and plots specific values that automation services can read easily. The Golden Rule: Always backtest on the Strategy, but trade on the Indicator. This ensures that what you see in your history matches what you execute in real-time. 4. How to Automate This Script This script uses a "Visual Spike" method to trigger alerts. Instead of drawing equity curves, it plots numerical values at the bottom of your chart when a trade event occurs. The Signal Map: Blue Spike (2 / -2): Entry Signal (Long / Short). Yellow Spike (1 / -1): Risk Management Close (Stop Loss / Trend Reversal). Green Spikes (1, 2, 3): Take Profit Levels 1, 2, and 3. Setup Instructions: Add this indicator to your chart. Open your TradingView "Alerts" tab. Create a new Alert. Condition: Select SAO - RM Alerts Template. Trigger: Select Any Alert() function call. Message: Paste your JSON webhook message (provided by your bot service). 5. The Logic Under the Hood Just like the Strategy version, this indicator utilizes: SuperTrend + Awesome Oscillator: High-probability swing trading logic. Non-Repainting Engine: Calculates signals based on confirmed candle closes to ensure the alert you get matches the chart reality. Advanced Adaptive Trailing Stop (AATS): Internally calculates volatility to determine when to send a "Close" signal. 6. About Signal Lynx Automation for the Night-Shift Nation 🌙 We are providing this code open source to help traders bridge the gap between manual backtesting and live automation. This code has been in action since 2022. If you are looking to automate your strategies, please take a look at Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please release them back to the community!
مؤشر Pine Script®
من ‎SignalLynx‎