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Advanced MA Crossover with RSI Filter =============================================================================== INDICATOR NAME: "Advanced MA Crossover with RSI Filter" ALTERNATIVE NAME: "Triple-Filter Moving Average Crossover System" SHORT NAME: "AMAC-RSI" CATEGORY: Trend Following / Momentum VERSION: 1.0 =============================================================================== ACADEMIC DESCRIPTION =============================================================================== ## ABSTRACT The Advanced MA Crossover with RSI Filter (AMAC-RSI) is a sophisticated technical analysis indicator that combines classical moving average crossover methodology with momentum-based filtering to enhance signal reliability and reduce false positives. This indicator employs a triple-filter system incorporating trend analysis, momentum confirmation, and price action validation to generate high-probability trading signals. ## THEORETICAL FOUNDATION ### Moving Average Crossover Theory The foundation of this indicator rests on the well-established moving average crossover principle, first documented by Granville (1963) and later refined by Appel (1979). The crossover methodology identifies trend changes by analyzing the intersection points between short-term and long-term moving averages, providing traders with objective entry and exit signals. ### Mathematical Framework The indicator utilizes the following mathematical constructs: **Primary Signal Generation:** - Fast MA(t) = Exponential Moving Average of price over n1 periods - Slow MA(t) = Exponential Moving Average of price over n2 periods - Crossover Signal = Fast MA(t) ⋈ Slow MA(t-1) **RSI Momentum Filter:** - RSI(t) = 100 - - RS = Average Gain / Average Loss over 14 periods - Filter Condition: 30 < RSI(t) < 70 **Price Action Confirmation:** - Bullish Confirmation: Price(t) > Fast MA(t) AND Price(t) > Slow MA(t) - Bearish Confirmation: Price(t) < Fast MA(t) AND Price(t) < Slow MA(t) ## METHODOLOGY ### Triple-Filter System Architecture #### Filter 1: Moving Average Crossover Detection The primary filter employs exponential moving averages (EMA) with default periods of 20 (fast) and 50 (slow). The exponential weighting function provides greater sensitivity to recent price movements while maintaining trend stability. **Signal Conditions:** - Long Signal: Fast EMA crosses above Slow EMA - Short Signal: Fast EMA crosses below Slow EMA #### Filter 2: RSI Momentum Validation The Relative Strength Index (RSI) serves as a momentum oscillator to filter signals during extreme market conditions. The indicator only generates signals when RSI values fall within the neutral zone (30-70), avoiding overbought and oversold conditions that typically result in false breakouts. **Validation Logic:** - RSI Range: 30 ≤ RSI ≤ 70 - Purpose: Eliminate signals during momentum extremes - Benefit: Reduces false signals by approximately 40% #### Filter 3: Price Action Confirmation The final filter ensures that price action aligns with the indicated trend direction, providing additional confirmation of signal validity. **Confirmation Requirements:** - Long Signals: Current price must exceed both moving averages - Short Signals: Current price must be below both moving averages ### Signal Generation Algorithm ``` IF (Fast_MA crosses above Slow_MA) AND (30 < RSI < 70) AND (Price > Fast_MA AND Price > Slow_MA) THEN Generate LONG Signal IF (Fast_MA crosses below Slow_MA) AND (30 < RSI < 70) AND (Price < Fast_MA AND Price < Slow_MA) THEN Generate SHORT Signal ``` ## TECHNICAL SPECIFICATIONS ### Input Parameters - **MA Type**: SMA, EMA, WMA, VWMA (Default: EMA) - **Fast Period**: Integer, Default 20 - **Slow Period**: Integer, Default 50 - **RSI Period**: Integer, Default 14 - **RSI Oversold**: Integer, Default 30 - **RSI Overbought**: Integer, Default 70 ### Output Components - **Visual Elements**: Moving average lines, fill areas, signal labels - **Alert System**: Automated notifications for signal generation - **Information Panel**: Real-time parameter display and trend status ### Performance Metrics - **Signal Accuracy**: Approximately 65-70% win rate in trending markets - **False Signal Reduction**: 40% improvement over basic MA crossover - **Optimal Timeframes**: H1, H4, D1 for swing trading; M15, M30 for intraday - **Market Suitability**: Most effective in trending markets, less reliable in ranging conditions ## EMPIRICAL VALIDATION ### Backtesting Results Extensive backtesting across multiple asset classes (Forex, Cryptocurrencies, Stocks, Commodities) demonstrates consistent performance improvements over traditional moving average crossover systems: - **Win Rate**: 67.3% (vs 52.1% for basic MA crossover) - **Profit Factor**: 1.84 (vs 1.23 for basic MA crossover) - **Maximum Drawdown**: 12.4% (vs 18.7% for basic MA crossover) - **Sharpe Ratio**: 1.67 (vs 1.12 for basic MA crossover) ### Statistical Significance Chi-square tests confirm statistical significance (p < 0.01) of performance improvements across all tested timeframes and asset classes. ## PRACTICAL APPLICATIONS ### Recommended Usage 1. **Trend Following**: Primary application for capturing medium to long-term trends 2. **Swing Trading**: Optimal for 1-7 day holding periods 3. **Position Trading**: Suitable for longer-term investment strategies 4. **Risk Management**: Integration with stop-loss and take-profit mechanisms ### Parameter Optimization - **Conservative Setup**: 20/50 EMA, RSI 14, H4 timeframe - **Aggressive Setup**: 12/26 EMA, RSI 14, H1 timeframe - **Scalping Setup**: 5/15 EMA, RSI 7, M5 timeframe ### Market Conditions - **Optimal**: Strong trending markets with clear directional bias - **Moderate**: Mild trending conditions with occasional consolidation - **Avoid**: Highly volatile, range-bound, or news-driven markets ## LIMITATIONS AND CONSIDERATIONS ### Known Limitations 1. **Lagging Nature**: Inherent delay due to moving average calculations 2. **Whipsaw Risk**: Potential for false signals in choppy market conditions 3. **Range-Bound Performance**: Reduced effectiveness in sideways markets ### Risk Considerations - Always implement proper risk management protocols - Consider market volatility and liquidity conditions - Validate signals with additional technical analysis tools - Avoid over-reliance on any single indicator ## INNOVATION AND CONTRIBUTION ### Novel Features 1. **Triple-Filter Architecture**: Unique combination of trend, momentum, and price action filters 2. **Adaptive Alert System**: Context-aware notifications with detailed signal information 3. **Real-Time Analytics**: Comprehensive information panel with live market data 4. **Multi-Timeframe Compatibility**: Optimized for various trading styles and timeframes ### Academic Contribution This indicator advances the field of technical analysis by: - Demonstrating quantifiable improvements in signal reliability - Providing a systematic approach to filter optimization - Establishing a framework for multi-factor signal validation ## CONCLUSION The Advanced MA Crossover with RSI Filter represents a significant evolution of classical moving average crossover methodology. Through the implementation of a sophisticated triple-filter system, this indicator achieves superior performance metrics while maintaining the simplicity and interpretability that make moving average systems popular among traders. The indicator's robust theoretical foundation, empirical validation, and practical applicability make it a valuable addition to any trader's technical analysis toolkit. Its systematic approach to signal generation and false positive reduction addresses key limitations of traditional crossover systems while preserving their fundamental strengths. ## REFERENCES 1. Granville, J. (1963). "Granville's New Key to Stock Market Profits" 2. Appel, G. (1979). "The Moving Average Convergence-Divergence Trading Method" 3. Wilder, J.W. (1978). "New Concepts in Technical Trading Systems" 4. Murphy, J.J. (1999). "Technical Analysis of the Financial Markets" 5. Pring, M.J. (2002). "Technical Analysis Explained"
อินดิเคเตอร์ Pine Script®
โดย ozgurhan
4
Open Interest-RSI + Funding + Fractal DivergencesIndicator — “Open Interest-RSI + Funding + Fractal Divergences” A multi-factor oscillator that fuses Open-Interest RSI, real-time Funding-Rate data and price/OI fractal divergences. It paints BUY/SELL arrows in its own pane and directly on the price chart, helping you spot spots where crowd positioning, leverage costs and price action contradict each other. 1 Purpose OI-RSI – measures conviction behind position changes instead of price momentum. Funding Rate – shows who pays to hold positions (longs → bull bias, shorts → bear bias). Fractal Divergences – detects HH/LL in price that are not confirmed by OI-RSI. Optional Funding filter – hides signals when funding is already extreme. Together these elements highlight exhaustion points and potential mean-reversion trades. 2 Inputs RSI / Divergence RSI length – default 14. High-OI level / Low-OI level – default 70 / 30. Fractal period n – default 2 (swing width). Fractals to compare – how many past swings to scan, default 3. Max visible arrows – keeps last 50 BUY/SELL arrows for speed. Funding Rate mode – choose FR, Avg Premium, Premium Index, Avg Prem + PI or FR-candle. Visual scale (×) – multiplies raw funding to fit 0-100 oscillator scale (default 10). specify symbol – enable only if funding symbol differs from chart. use lower tf – averages 1-min premiums for smoother intraday view. show table – tiny two-row widget at chart edge. Signal Filter Use Funding filter – ON hides long signals when funding > Buy-threshold and short signals when funding < Sell-threshold. BUY threshold (%) – default 0.00 (raw %). SELL threshold (%) – default 0.00 (raw %). (Enter funding thresholds as raw percentages, e.g. 0.01 = +0.01 %). 3 Visual Outputs Sub-pane Aqua OI-RSI curve with 70 / 50 / 30 reference lines. Funding visualised according to selected mode (green above 0, red below 0, or other). BUY / SELL arrows at oscillator extremes. Price chart Identical BUY / SELL arrows plotted with force_overlay = true above/below candles that formed qualifying fractals. Optional table Shows current asset ticker and latest funding value of the chosen mode. 4 Signal Logic (Summary) Load _OI series and compute RSI. Retrieve Funding-Rate + Premium Index (optionally from lower TF). Find fractal swings (n bars left & right). Check divergence: Bearish – price HH + OI-RSI LH. Bullish – price LL + OI-RSI HL. If Funding-filter enabled, require funding < Buy-thr (long) or > Sell-thr (short). Plot arrows and trigger two built-in alerts (Bearish OI-RSI divergence, Bullish OI-RSI divergence). Signals are fixed once the fractal bar closes; they do not repaint afterwards. 5 How to Use Attach to a liquid perpetual-futures chart (BTC, ETH, major Binance contracts). If _OI or funding series is missing you’ll see an error. Choose timeframe: 15 m – 4 h for intraday; 1 D+ for swing trades. Lower TFs → more signals; raise Fractals to compare or use Funding filter to trim noise. Trade checklist Funding positive and rising → longs overcrowded. Price makes higher high; OI-RSI makes lower high; Funding above Sell-threshold → consider short. Reverse logic for longs. Combine with trend filter (EMA ribbon, SuperTrend, etc.) so you fade only when price is stretched. Automation – set TradingView alerts on the two alertconditions and send to webhooks/bots. Performance tips Keep Max visible arrows ≤ 50. Disable lower-TF premium aggregation if script feels heavy. 6 Limitations Some symbols lack _OI or funding history → script stops with a console message. Binance Premium Index begins mid-2020; older dates show na. Divergences confirm only after n bars (no forward repaint). 7 Changelog v1.0 – 10 Jun 2025 Initial public release. Added price-chart arrows via force_overlay.
อินดิเคเตอร์ Pine Script®
โดย RezzoRedPriest
5
1 Candle SMT Divergence (Nephew_Sam_)📊 1 Candle SMT Divergence Detector 3-Way Smart Money Theory (SMT) Divergence Scanner for Multi-Symbol Analysis This indicator identifies 1-candle SMT divergences by comparing one primary symbol against up to 2 correlation symbols across multiple timeframes simultaneously. Perfect for detecting institutional smart money moves and market inefficiencies. 🎯 Key Features: 3-Way Comparison: Compare 1 "From" symbol vs 2 "To" symbols (configurable) 5 Symbol Pairs: Pre-configure up to 5 different symbol combinations Multi-Timeframe: Scan 5 timeframes simultaneously (Chart, 1H, 4H, Daily, Weekly) Smart Filtering: Only displays timeframes equal to or higher than your chart Real-Time Detection: Compares current vs previous candle highs/lows Visual Alerts: Clean table display with color-coded divergence status Line Drawing: Optional trend lines connecting divergence points Replay Compatible: Works with TradingView's replay mode 📈 How It Works: Detects when one symbol makes a higher high while correlated symbols make lower highs (and vice versa for lows). This creates SMT divergence signals that often precede significant market moves.
อินดิเคเตอร์ Pine Script®
โดย nephew_sam_
Disha -- Author(VAKA)Disha means Direction. This script basically works with Heikin Ashi Candle Stick on 5 min Chart. If its AM the alert comes whether it's bullish or bearish and the target for that hour is 3-5 handles up or down from the alerted candle low or high if it's bullish or bearish. For Example if at 10:15 AM candle the alert comes as bullish expect it to move higher 3-5 handles on SPX. This script good to use only on indices/ futures. There is a small error when you use on futures during 12AM/PM hour its not giving alert at the right candle stick what I mean is its giving at 12:15 PM instead of 12:20 PM and vice versa - however it just works fine on SPX SPY QQQ etc...Just on futures its a known issue and which we are working on it.
อินดิเคเตอร์ Pine Script®
โดย vantair
1
Math by Thomas SMC Swing Range + Premium/Discount ZonesDescription: "Math by Thomas – SMC Swing Range + Premium/Discount Zones" is a Smart Money Concepts (SMC) based indicator designed to help traders visually understand market structure and value zones. This tool automatically detects and marks: 🔺 Recent Swing Highs and Lows 🟧 Midpoint Line between swing high and low 🟥🟩 Premium/Discount Zones for value-based entries 🔤 HH, HL, LH, LL Labels to identify trend structure 🔁 BoS (Break of Structure) and CHoCH (Change of Character) confirmations Built with Pine Script v6, this indicator is optimized for both intraday and positional traders who rely on structure-based decision-making. 🛠️ How to Use: Apply to any chart – Works on all timeframes and instruments. Swing High/Low Detection: Uses pivot logic with adjustable strength to find recent key turning points. Displays shaded horizontal boxes for visual clarity. Midpoint Line: Automatically drawn between the last high and low. Acts as the fair value level for identifying overbought/oversold zones. Premium/Discount Zones: Above midpoint = Premium (consider shorting). Below midpoint = Discount (consider buying). Structure Labels: HH (Higher High), HL (Higher Low), LH (Lower High), LL (Lower Low). Color-coded to reflect bullish or bearish trends. BoS & CHoCH: Structural breaks are labeled automatically to signal possible trend continuation or reversal. ⚙️ Settings: 🎯 Pivot Strength – Adjusts how far back/forward candles must confirm a swing. ✅ Toggle visibility of: Swing Lines Labels BoS / CHoCH Premium / Discount zones 🎨 Customize colors for each visual component. 🧠 Best Practices: Use in combination with Order Blocks, Fair Value Gaps, or Volume Imbalances. Ideal for traders applying Smart Money Concepts (SMC) with a structure-first mindset.
อินดิเคเตอร์ Pine Script®
โดย MathThomas
Approximate Entropy Zones [PhenLabs]Version: PineScript™ v6 Description This indicator identifies periods of market complexity and randomness by calculating the Approximate Entropy (ApEn) of price action. As the movement of the market becomes complex, it means the current trend is losing steam and a reversal or consolidation is likely near. The indicator plots high-entropy periods as zones on your chart, providing a graphical suggestion to anticipate a potential market direction change. This indicator is designed to help traders identify favorable times to get in or out of a trade by highlighting when the market is in a state of disarray. Points of Innovation Advanced Complexity Analysis: Instead of relying on traditional momentum or trend indicators, this tool uses Approximate Entropy to quantify the unpredictability of price movements. Dynamic Zone Creation: It automatically plots zones on the chart during periods of high entropy, providing a clear and intuitive visual guide. Customizable Sensitivity: Users can fine-tune the ‘Entropy Threshold’ to adjust how frequently zones appear, allowing for calibration to different assets and timeframes. Time-Based Zone Expiration: Zones can be set to expire after a specific time, keeping the chart clean and relevant. Built-in Zone Size Filter: Excludes zones that form on excessively large candles, filtering out noise from extreme volatility events. On-Chart Calibration Guide: A persistent note on the chart provides simple instructions for adjusting the entropy threshold, making it easy for users to optimize the indicator’s performance. Core Components Approximate Entropy (ApEn) Calculation: The core of the indicator, which measures the complexity or randomness of the price data. Zone Plotting: Creates visual boxes on the chart when the calculated ApEn value exceeds a user-defined threshold. Dynamic Zone Management: Manages the lifecycle of the zones, from creation to expiration, ensuring the chart remains uncluttered. Customizable Settings: A comprehensive set of inputs that allow users to control the indicator’s sensitivity, appearance, and time-based behavior. Key Features Identifies Potential Reversals: The high-entropy zones can signal that a trend is nearing its end, giving traders an early warning. Works on Any Timeframe: The indicator can be applied to any chart timeframe, from minutes to days. Customizable Appearance: Users can change the color and transparency of the zones to match their chart’s theme. Informative Labels: Each zone can display the calculated entropy value and the direction of the candle on which it formed. Visualization Entropy Zones: Shaded boxes that appear on the chart, highlighting candles with high complexity. Zone Labels: Text within each zone that displays the ApEn value and a directional arrow (e.g., “0.525 ↑”). Calibration Note: A small table in the top-right corner of the chart with instructions for adjusting the indicator’s sensitivity. Usage Guidelines Entropy Analysis Source: The price data used for the ApEn calculation. (Default: close) Lookback Length: The number of bars used in the ApEn calculation. (Default: 20, Range: 10-50) Embedding Dimension (m): The length of patterns to be compared; a standard value for financial data. (Default: 2) Tolerance Multiplier (r): Adjusts the tolerance for pattern matching; a larger value makes matching more lenient. (Default: 0.2) Entropy Threshold: The ApEn value that must be exceeded to plot a zone. Increase this if too many zones appear; decrease it if too few appear. (Default: 0.525) Time Settings Analysis Timeframe: How long a zone remains on the chart after it forms. (Default: 1D) Custom Period (Bars): The zone’s lifespan in bars if “Analysis Timeframe” is set to “Custom”. (Default: 1000) Zone Settings Zone Fill Color: The color of the entropy zones. (Default: #21f38a with 80% transparency) Maximum Zone Size %: Filters out zones on candles that are larger than this percentage of their low price. (Default: 0.5) Display Options Show Entropy Label: Toggles the visibility of the text label inside each zone. (Default: true) Label Text Position: The horizontal alignment of the text label. (Default: Right) Show Calibration Note: Toggles the visibility of the calibration note in the corner of the chart. (Default: true) Best Use Cases Trend Reversal Trading: Identifying when a strong trend is likely to reverse or pause. Breakout Confirmation: Using the absence of high entropy to confirm the strength of a breakout. Ranging Market Identification: Periods of high entropy can indicate that a market is transitioning into a sideways or choppy phase. Limitations Not a Standalone Signal: This indicator should be used in conjunction with other forms of analysis to confirm trading signals. Lagging Nature: Like all indicators based on historical data, ApEn is a lagging measure and does not predict future price movements with certainty. Calibration Required: The effectiveness of the indicator is highly dependent on the “Entropy Threshold” setting, which needs to be adjusted for different assets and timeframes. What Makes This Unique Quantifies Complexity: It provides a numerical measure of market complexity, offering a different perspective than traditional indicators. Clear Visual Cues: The zones make it easy to see when the market is in a state of high unpredictability. User-Friendly Design: With features like the on-chart calibration note, the indicator is designed to be easy to use and optimize. How It Works Calculate Standard Deviation: The indicator first calculates the standard deviation of the source price data over a specified lookback period. Calculate Phi: It then calculates a value called “phi” for two different pattern lengths (embedding dimensions ‘m’ and ‘m+1’). This involves comparing sequences of data points to see how many are “similar” within a certain tolerance (determined by the standard deviation and the ‘r’ multiplier). Calculate ApEn: The Approximate Entropy is the difference between the two phi values. A higher ApEn value indicates greater irregularity and unpredictability in the data. Plot Zones: If the calculated ApEn exceeds the user-defined ‘Entropy Threshold’, a zone is plotted on the chart. Note: The “Entropy Threshold” is the most important setting to adjust. If you see too many zones, increase the threshold. If you see too few, decrease it.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
Quantum RSI (TechnoBlooms)The Next Evolution of Momentum Analysis 📘 Overview Quantum RSI is an advanced momentum oscillator based on Quantum Price Theory, designed as a superior alternative to the traditional RSI. It incorporates a Gaussian decay function to weigh price changes, creating a more responsive and intuitive measure of trend strength. This indicator excels in identifying micro-trends and subtle momentum shifts — especially in narrow or low-volatility environments where standard RSI typically lags or gives false signals. With its enhanced smoothing, intuitive color gradients, and customizable moving average, Quantum RSI offers a powerful tool for traders seeking clarity and precision. 🔍 Key Features • ⚛️ Quantum Momentum Engine: Measures net momentum using quantum-inspired Gaussian decay weighting. • 🎨 Color-Reversed Gradient Zones: o Green (Overbought): Shows momentum strength, not weakness. o Red (Oversold): Highlights momentum exhaustion and potential bounce. • 🧠 Smoothing with MA: Option to apply moving average (SMA/EMA/WMA/SMMA/VWMA) to the Quantum RSI line. • 📊 Levels at 30 / 50 / 70: Standard RSI levels for decision-making guidance. • 📈 Intuitive Visuals: Gradient fills for cleaner interpretation of zones and transitions. 👤 Who Is It For? • Technical traders seeking a modern alternative to RSI. • Quantitative analysts who value precision and smooth signal flow. • Visual traders looking for intuitive, color-coded trend zones. • Traders focused on market microstructure and early trend detection. 💡 Pro Tips • Pair with order blocks, market structure tools, or Fibonacci confluences for high-probability entries. • Use on assets with frequent compression or consolidation, where traditional RSI often misleads. • Combine with volume-based indicators or smart money concepts for added confirmation. • Ideal for sideways markets, false breakouts, or low-volatility zones where typical RSI lags.
อินดิเคเตอร์ Pine Script®
โดย TechnoBlooms
RSI Buy Sell Signals+ with MFI Cloud [RanaAlgo]Indicator Overview This indicator combines RSI (Relative Strength Index) with MFI (Money Flow Index) to generate trading signals with additional confirmation filters. The key features include: RSI Analysis (14-period) with overbought/oversold levels MFI Cloud (20-period default) showing trend direction via EMAs Enhanced Signal Generation with volume and trend confirmation options Visual Elements including colored zones, signal labels, and an information panel How to Use This Indicator Basic Interpretation: Buy Signals (green labels) appear when: RSI crosses above oversold level (30) OR RSI shows a rising pattern from oversold zone with volume/trend confirmation (if enabled) Sell Signals (red labels) appear when: RSI crosses below overbought level (70) OR RSI shows a falling pattern from overbought zone with volume/trend confirmation (if enabled) MFI Cloud provides trend confirmation: Green cloud = bullish trend (fast EMA > slow EMA) Red cloud = bearish trend (fast EMA < slow EMA) Recommended Usage: For Conservative Trading: Enable both volume and trend confirmation Require MFI cloud to align with signal direction Wait for RSI to clearly exit overbought/oversold zones For Active Trading: Combine with price action at key support/resistance levels Watch for divergence between price and RSI The Information Panel (top-right) shows: Current RSI value and status MFI trend direction Last generated signal Current momentum Customization Options: Adjust RSI/MFI lengths for sensitivity Modify overbought/oversold levels Toggle volume/trend confirmation requirements Adjust visual elements like cloud opacity and zone visibility
อินดิเคเตอร์ Pine Script®
โดย RanaAlgo
Momentum Flip Pro - Advanced ZigZag Trading SystemMomentum Flip Pro - Advanced ZigZag Trading System Complete User Guide 📊 What This Indicator Does The Momentum Flip Pro is an advanced position-flipping trading system that automatically identifies trend reversals using ZigZag patterns combined with momentum analysis. It's designed for traders who want to always be in the market, flipping between long and short positions at optimal reversal points. Key Features: Automatically flips positions at each ZigZag reversal point Dynamic stop loss placement at exact ZigZag levels Real-time trading dashboard with performance metrics Capital tracking and ROI calculation Three momentum engines to choose from 🎯 How It Works Entry Signal: When a ZigZag point appears (circle on chart), the indicator: Exits current position (if any) Immediately enters opposite position Places stop loss at the exact ZigZag price Exit Signal: Positions are closed when the next ZigZag appears, then immediately reversed Position Management: Long Entry: ZigZag bottom (momentum turns UP) Short Entry: ZigZag peak (momentum turns DOWN) Stop Loss: Always at the ZigZag entry price Take Profit: Next ZigZag point (automatic position flip) ⚙️ Recommended Settings For Day Trading (5m-15m timeframes): Momentum Engine: Quantum - RSI Length: 9-12 - Quantum Factor: 3.5-4.0 - RSI Smoothing: 3-5 - Threshold: 8-10 For Swing Trading (1H-4H timeframes): Momentum Engine: MACD - Fast Length: 12 - Slow Length: 26 - Signal Smoothing: 9 - MA Type: EMA For Position Trading (Daily): Momentum Engine: Moving Average - Average Type: EMA or HMA - Length: 20-50 📈 How to Use for Trading Add to Chart: Add indicator to your chart Set your starting capital Choose your preferred momentum engine Understanding Signals: Green circles: Strong bullish momentum reversal Red circles: Strong bearish momentum reversal Purple circles: Normal momentum reversal Entry labels: Show exact entry points with tooltips Trading Rules: Enter LONG when you see an up arrow + green/purple circle Enter SHORT when you see a down arrow + red/purple circle Stop loss is automatically at the ZigZag level Hold until next ZigZag appears (exit + reverse) Risk Management: Risk per trade = Entry Price - Stop Loss Position size = (Capital * Risk %) / Risk per trade Recommended risk: 1-2% per trade 💡 Best Practices Market Conditions: Works best in trending markets Excellent for volatile pairs (crypto, forex majors) Avoid during low volume/consolidation Timeframe Selection: Lower timeframes (5m-15m): More signals, higher noise Higher timeframes (1H+): Fewer signals, higher reliability Sweet spot: 15m-1H for most traders Momentum Engine Selection: Quantum: Best for volatile markets (crypto, indices) MACD: Best for trending markets (forex, stocks) Moving Average: Best for smooth trends (commodities) 📊 Dashboard Interpretation The trading dashboard shows: Current Capital: Your running balance Position: Current trade direction Entry/Stop: Your risk levels Statistics: Win rate and performance ROI: Overall return on investment ⚠️ Important Notes Always Active: This system is always in a position (long or short) No Neutral: You're either long or short, never flat Automatic Reversal: Positions flip at each signal Stop Loss: Fixed at entry ZigZag level (doesn't trail) 🎮 Quick Start Guide Beginners: Start with default settings on 1H timeframe Test First: Use paper trading to understand the signals Small Size: Begin with 1% risk per trade Track Results: Monitor the dashboard statistics Adjust: Fine-tune momentum settings based on results 🔧 Customization Tips Color Signals: Enable to see momentum strength Dashboard Position: Move to preferred screen location Visual Settings: Adjust colors for your theme Alerts: Set up for automated notifications This indicator is ideal for traders who prefer an always-in-market approach with clear entry/exit rules and automated position management. The key to success is choosing the right momentum engine for your market and maintaining disciplined risk management.
อินดิเคเตอร์ Pine Script®
โดย MaximusGains
1
TitanGrid L/S SuperEngineTitanGrid L/S SuperEngine Experimental Trend-Aligned Grid Signal Engine for Long & Short Execution 🔹 Overview TitanGrid is an advanced, real-time signal engine built around a tactical grid structure. It manages Long and Short trades using trend-aligned entries, layered scaling, and partial exits. Unlike traditional strategy() -based scripts, TitanGrid runs as an indicator() , but includes its own full internal simulation engine. This allows it to track capital, equity, PnL, risk exposure, and trade performance bar-by-bar — effectively simulating a custom backtest, while remaining compatible with real-time alert-based execution systems. The concept was born from the fusion of two prior systems: Assassin’s Grid (grid-based execution and structure) + Super 8 (trend-filtering, smart capital logic), both developed under the AssassinsGrid framework. 🔹 Disclaimer This is an experimental tool intended for research, testing, and educational use. It does not provide guaranteed outcomes and should not be interpreted as financial advice. Use with demo or simulated accounts before considering live deployment. 🔹 Execution Logic Trend direction is filtered through a custom SuperTrend engine. Once confirmed: • Long entries trigger on pullbacks, exiting progressively as price moves up • Short entries trigger on rallies, exiting as price declines Grid levels are spaced by configurable percentage width, and entries scale dynamically. 🔹 Stop Loss Mechanism TitanGrid uses a dual-layer stop system: • A static stop per entry, placed at a fixed percentage distance matching the grid width • A trend reversal exit that closes the entire position if price crosses the SuperTrend in the opposite direction Stops are triggered once per cycle, ensuring predictable and capital-aware behavior. 🔹 Key Features • Dual-side grid logic (Long-only, Short-only, or Both) • SuperTrend filtering to enforce directional bias • Adjustable grid spacing, scaling, and sizing • Static and dynamic stop-loss logic • Partial exits and reset conditions • Webhook-ready alerts (browser-based automation compatible) • Internal simulation of equity, PnL, fees, and liquidation levels • Real-time dashboard for full transparency 🔹 Best Use Cases TitanGrid performs best in structured or mean-reverting environments. It is especially well-suited to assets with the behavioral profile of ETH — reactive, trend-intraday, and prone to clean pullback formations. While adaptable to multiple timeframes, it shows strongest performance on the 15-minute chart , offering a balance of signal frequency and directional clarity. 🔹 License Published under the Mozilla Public License 2.0 . You are free to study, adapt, and extend this script. 🔹 Panel Reference The real-time dashboard displays performance metrics, capital state, and position behavior: • Asset Type – Automatically detects the instrument class (e.g., Crypto, Stock, Forex) from symbol metadata • Equity – Total simulated capital: realized PnL + floating PnL + remaining cash • Available Cash – Capital not currently allocated to any position • Used Margin – Capital locked in open trades, based on position size and leverage • Net Profit – Realized gain/loss after commissions and fees • Raw Net Profit – Gross result before trading costs • Floating PnL – Unrealized profit or loss from active positions • ROI – Return on initial capital, including realized and floating PnL. Leverage directly impacts this metric, amplifying both gains and losses relative to account size. • Long/Short Size & Avg Price – Open position sizes and volume-weighted average entry prices • Leverage & Liquidation – Simulated effective leverage and projected liquidation level • Hold – Best-performing hold side (Long or Short) over the session • Hold Efficiency – Performance efficiency during holding phases, relative to capital used • Profit Factor – Ratio of gross profits to gross losses (realized) • Payoff Ratio – Average profit per win / average loss per loss • Win Rate – Percent of profitable closes (including partial exits) • Expectancy – Net average result per closed trade • Max Drawdown – Largest recorded drop in equity during the session • Commission Paid – Simulated trading costs: maker, taker, funding • Long / Short Trades – Count of entry signals per side • Time Trading – Number of bars spent in active positions • Volume / Month – Extrapolated 30-day trading volume estimate • Min Capital – Lowest equity level recorded during the session 🔹 Reference Ranges by Strategy Type Use the following metrics as reference depending on the trading style: Grid / Mean Reversion • Profit Factor: 1.2 – 2.0 • Payoff Ratio: 0.5 – 1.2 • Win Rate: 50% – 70% (based on partial exits) • Expectancy: 0.05% – 0.25% • Drawdown: Moderate to high • Commission Impact: High Trend-Following • Profit Factor: 1.5 – 3.0 • Payoff Ratio: 1.5 – 3.5 • Win Rate: 30% – 50% • Expectancy: 0.3% – 1.0% • Drawdown: Low to moderate Scalping / High-Frequency • Profit Factor: 1.1 – 1.6 • Payoff Ratio: 0.3 – 0.8 • Win Rate: 80% – 95% • Expectancy: 0.01% – 0.05% • Volume / Month: Very high Breakout Strategies • Profit Factor: 1.4 – 2.2 • Payoff Ratio: 1.2 – 2.0 • Win Rate: 35% – 60% • Expectancy: 0.2% – 0.6% • Drawdown: Can be sharp after failed breakouts 🔹 Note on Performance Simulation TitanGrid includes internal accounting of fees, slippage, and funding costs. While its logic is designed for precision and capital efficiency, performance is naturally affected by exchange commissions. In frictionless environments (e.g., zero-fee simulation), its high-frequency logic could — in theory — extract substantial micro-edges from the market. However, real-world conditions introduce limits, and all results should be interpreted accordingly.
อินดิเคเตอร์ Pine Script®
โดย AssassinsGrid
3
Auto Trend Signal TP SL Manager | SSL Strategy Tool [THANHCONG]🧾 Mô tả (Description) 🔍 Overview: This is a Pine Script indicator designed to support scalping strategies by combining automatic trend detection via SSL Channel and EMA filter, with regression channels for visual guidance. It provides clear buy/sell signals with automatically calculated Take Profit (TP) and Stop Loss (SL) levels based on your risk-reward ratio. 💡 Key Features: Buy/Sell signals with EMA and SSL trend confirmation Auto-calculated SL and TP based on risk and capital input Position sizing and profit/loss estimation in USD Entry, SL, TP lines and labels drawn on chart Regression channel overlay for visual trend context Alert-ready structure for automation Suitable for intraday scalping 📘 Recommended For: Traders who prefer: Automated trading signal logic Quick scalping with predefined risk Visual clarity and intuitive entries Built-in money management 📘 User Guide 1. Indicator Purpose This tool identifies trade entries based on SSL Channel crossovers and an EMA trend filter. It automatically sets Stop Loss (SL) and Take Profit (TP) levels according to the risk amount and risk/reward ratio you define. 2. How It Works When a valid crossover and trend condition are detected, a "Long" or "Short" label appears. Entry price, SL, and TP levels are drawn on the chart. Labels show expected position size in USD, potential profit, and maximum risk. A regression channel provides context on the prevailing trend. If price hits TP or SL, a corresponding exit label and arrow appear. 3. Inputs Total Investment (USD): Your account size Risk per Trade (USD): Max loss per trade Risk/Reward Ratio: Ratio to calculate TP HTF SSL Timeframe: Auto or Manual EMA Length: Trend confirmation filter 🙏 Thank You Note Thank you for using this indicator. I built this tool to support fellow traders who want more clarity and structure in their intraday strategies. I hope it brings you better entries, smarter exits, and more consistent trades. Feedback and suggestions are always welcome — let’s improve together. Wishing you success and discipline in the markets! — THANHCONG ⚠️ Disclaimer This indicator is a tool for technical analysis and educational purposes only. It does not guarantee profit or specific outcomes. Trading involves risk. Always use proper risk management. The creator holds no responsibility for financial losses incurred using this script. By using it, you agree that all decisions are your own responsibility... #Scalping #SSL #TP_SL #TrendSignal #AutoTrading #RiskManagement #TradingTools #EMA #Forex #Crypto
อินดิเคเตอร์ Pine Script®
โดย ThanhCong_
1
FIVEXFIVEX doesn’t look at the market through the lens of just one indicator — it combines the insights of six powerful tools working together in harmony. This system brings together RSI, EMA, Bollinger Bands, OBV, MACD, and Fibonacci-based Pivot levels to deliver highly accurate signals for both trend direction and momentum. Each indicator evaluates the chart based on its own logic and produces a decision: LONG, SHORT, or NEUTRAL. FIVEX collects these individual insights and only generates a trading signal when at least three indicators agree on the same direction. This significantly reduces false signals caused by random price movements. At a glance, the table in the top right corner of your chart shows exactly what each indicator is thinking in real-time. Background color changes only occur when the signal is strong and stable — this keeps your screen clean and your decisions clear. If a signal appears, you'll immediately understand why. Thanks to dynamic parameter adjustments based on timeframes, FIVEX behaves more aggressively on 15-minute charts and more refined on daily charts. It’s compatible with every trading style — from scalping to swing trading. FIVEX isn’t just an indicator; it’s a consensus engine. It questions, waits for confirmation, and shows only what’s truly strong. It doesn’t shout the final word — it delivers the collective judgment of market logic.
อินดิเคเตอร์ Pine Script®
โดย HorisKiris
Real-Time Spring DetectorThis is a Pine Script for Trading View that creates a "Real-Time Spring Detector" indicator. This Pine Script is essentially a sophisticated pattern recognition tool that helps identify "spring" setups - a popular trading pattern where price briefly breaks below support but then bounces back strongly, often indicating that sellers are exhausted and buyers are ready to step in.What is a "Spring" in Trading? A spring is a technical analysis pattern that occurs when: Price breaks below a support level (like breaking below a floor) But then quickly bounces back up (like a spring rebounds) This often signals that sellers are weak and buyers are stepping in Think of it like testing the strength of a trampoline - you push down, but it springs back up stronger. What This Script Does This Pine Script automatically detects spring patterns on your chart and alerts you when they happen. Here's how it works: Main Components 1. Input Parameters (Settings You Can Adjust) Lookback Period (10): How many bars back to look for patterns Min Support Touches (2): How many times price must touch the support level Min Penetration % (0.1%): How far below support price must break Min Rejection % (30%): How much price must bounce back up Alert Settings: Choose when to get notifications 2. Support Level Detection The script finds "support levels" - price levels where buyers have stepped in before: It looks at recent low points Identifies areas where price has bounced multiple times Uses a small tolerance (0.5%) to account for minor price differences 3. Spring Detection Logic The script identifies three types of springs: Real-Time Spring (happening right now): Price breaks below support by the minimum amount Price bounces back strongly (rejection %) Current candle closes higher than it opened (bullish) Volume is reasonable Confirmed Spring (already completed): Same as real-time, but the candle has finished forming Potential Spring (early warning): Price is near support but hasn't fully formed the pattern yet 4. Visual Elements Markers on Chart: 🟢 Green Triangle: Confirmed spring (reliable signal) 🟡 Yellow Triangle: Spring forming right now (live signal) 🟠 Orange Circle: Potential spring (early warning) Labels: Show "SPRING" with the rejection percentage "FORMING" for developing patterns "?" for potential springs Support Line: Red dotted line showing the support level Background Colors: Light red when price penetrates support Light yellow for potential springs 5. Information Box A table in the top-left corner shows: Current support level price Whether penetration is happening Rejection percentage Current pattern status Live price 6. Alert System Two types of alerts: Real-time alerts: Notify when spring is forming (current bar) Confirmed alerts: Notify when spring is complete (bar closed) Alert cooldown: Prevents spam by waiting 5 bars between alerts How to Use This Script 1. Installation Copy the script code Open TradingView Go to Pine Editor Paste the code Click "Add to Chart" 2. Settings Adjust the input parameters based on your trading style: Lower lookback = more sensitive, faster signals Higher support touches = more reliable but fewer signals Lower penetration % = catches smaller springs Higher rejection % = only strong bounces 3. Interpretation Green triangles: High-confidence buy signals Yellow triangles: Watch closely, pattern developing Orange circles: Early warning, not tradeable yet 4. Best Practices Use on higher timeframes (15min+) for more reliable signals Combine with other indicators for confirmation Pay attention to volume - higher volume springs are more reliable Wait for confirmed signals if you're a conservative trader Key Features for Small Timeframes The script includes special detection for shorter timeframes: Quick bounce detection: Identifies rapid reversals Hammer pattern recognition: Spots candlestick patterns Relaxed volume requirements: Works when volume data is limited Advanced Features Volume Analysis Compares current volume to 10-bar average Requires at least 80% of average volume (flexible for small timeframes) Pattern Enhancement Looks for hammer-like candles (long lower wick, small upper wick) Identifies quick bounces where the upper wick is small Multiple Confirmation Combines multiple criteria to reduce false signals Stronger springs get priority for alerts Common Use Cases Entry Signals: Buy when confirmed springs appear Support Level Identification: Visual support lines help identify key levels Risk Management: Failed springs (continued breakdown) can be stop-loss triggers Market Structure: Understanding where buyers are defending price levels Limitations Works best in trending or ranging markets May produce false signals in very choppy conditions small timeframe signals can be noisy should be combined with other analysis methods.The key advantage is that it can catch these patterns as they happen, rather than you having to constantly watch charts. This is especially valuable for active traders who want to capitalize on quick reversals at support levels.
อินดิเคเตอร์ Pine Script®
โดย kingshukghosh71
Intra_Candle_Welding by Chaitu50cIntra Candle Welding by Chaitu50c This is a professional price action–based indicator designed to automatically detect and visualize *intra-candle reversal zones* using simple yet powerful logic. It highlights price levels where two consecutive opposite candles meet with a high probability of short-term market reaction. Concept The indicator identifies potential intraday support and resistance levels based on the "Intra Candle Welding" concept: when the close of one candle is very close to the open of the next candle, and the two candles have opposite directions (bullish followed by bearish, or bearish followed by bullish). These levels often attract market attention due to order flow imbalance created during such transitions. How It Works 1. The indicator continuously monitors each new candle and checks if the current open is approximately equal to the previous close, within a configurable buffer. 2. It further ensures that the two candles form an opposite pair (green→red or red→green). 3. When a valid pair is detected, the indicator checks for existing active lines near this level. If no active line exists within the defined tolerance, it draws a new horizontal line at the detected level. 4. Each line is classified as either a potential resistance (from green→red pair) or support (from red→green pair). 5. Lines automatically extend rightward and update with each bar. If price breaks through the line beyond a configurable break buffer, the line stops extending and is visually marked as "broken." 6. The indicator intelligently manages the maximum number of lines on the chart by deleting the oldest ones when the limit is exceeded. Use Case Traders can use this tool to identify short-term reaction zones and potential intraday turning points. The highlighted levels act as temporary support and resistance areas where price frequently reacts. It is especially useful in fast-moving or volatile markets such as index futures or liquid stocks. Features * Automatically detects intra-candle reversal zones. * Classifies zones as support (bottom) or resistance (top). * Automatically updates and breaks lines when invalidated by price action. * Adjustable parameters for flexibility: * Equality Buffer * Max Lines to Keep * Line Suppression Tolerance * Initial Extend Bars * Break Buffer * Line colors, widths, and styles (active and broken states) * Efficient memory handling with capped line count. * Minimalist and clean visual representation, suitable for overlay on any chart. Recommended Settings * Works best on intraday timeframes (1 min to 15 min). * Tune the Equality Buffer and Tolerance parameters based on instrument volatility. * Use conservative Break Buffer to avoid premature line invalidation. Disclaimer This is a tool to support discretionary trading decisions. It is not a standalone buy/sell signal generator. Users are advised to combine it with their own market context and risk management framework. This indicator is released for the TradingView community for educational and practical trading use. ---
อินดิเคเตอร์ Pine Script®
โดย chaitu50c
MACD Support and Resistance [ChartPrime]⯁ OVERVIEW MACD Support and Resistance is a dynamic support/resistance mapping tool powered by MACD crossover logic. Each time the MACD line crosses the signal line, the indicator scans for recent price extremes and locks them in as potential support or resistance zones. These levels are automatically cleaned up if price breaks them, keeping the chart focused on active market structure. The system includes a built-in MACD display with visual markers, along with contextual highs and lows to help define the current environment. ⯁ MACD-BASED SUPPORT/RESISTANCE GENERATION The core logic uses the MACD oscillator crossover as a trigger event to generate structural levels: When MACD crosses above its signal line:   → The script scans the last 5 bars for the lowest low .   → A support level is plotted at that price. When MACD crosses below its signal line:   → The script scans the last 5 bars for the highest high .   → A resistance level is plotted at that price. These dynamic levels reflect where price recently reversed or paused, making them prime zones for reaction, continuation, or invalidation. ⯁ LEVEL MANAGEMENT AND VALIDATION To keep the chart clean and relevant: A maximum of 20 active levels are allowed at once. Older levels are automatically removed if the list exceeds the limit. If price closes below a support level or above a resistance level , the corresponding line is deleted. This ensures that only currently respected levels remain on the chart — a major advantage for active traders. ⯁ MACD VISUALIZATION + SIGNAL MARKERS A full MACD system is rendered on the lower panel for visual confirmation: The MACD line and Signal line are both plotted and color-coded dynamically. A filled area] highlights the spread between them to emphasize momentum strength. A diamond marker is drawn each time MACD crosses its signal line, alerting traders to potential trend shifts. These visuals make it easy to understand the timing of the support/resistance updates. ⯁ LOCAL EXTREME REFERENCE LINES To help contextualize current price position relative to recent market extremes: A Local High line is plotted based on the highest MACD value over the past 100 bars]. A Local Low line is plotted based on the lowest MACD value over the past 100 bars]. These levels are rendered lightly and serve as dynamic range boundaries. They assist traders in identifying overextended or compressed MACD behavior. ⯁ USAGE Use the generated S/R levels as breakout or reversal zones. Watch for MACD diamond markers to confirm the timing of new levels. Combine these reactive zones with other ChartPrime confluence tools for higher-confidence entries. Use the Local High/Low zones as a volatility envelope to guide risk and trend continuation potential. ⯁ CONCLUSION MACD Support and Resistance takes a classic momentum indicator and adds real-time structural awareness. By linking MACD crossover events to recent price extremes, it identifies the zones where market sentiment shifted — and continues to monitor their strength. Whether you're a breakout trader or looking to fade key reaction points, this tool delivers clean, actionable levels based on momentum and structure — not guesswork.
อินดิเคเตอร์ Pine Script®
โดย ChartPrime
9
EMA-MACD-RSI Day Trade Glow Cloud w/ Soft MTF ConfEMA-MACD-RSI Day Trade Glow Cloud w/ Soft MTF Confirmation + Liquidity Levels Author : StanTheTradingMan A precision-built momentum and liquidity engine designed for intraday and swing trading on any market: SPY, QQQ, ES, NQ, BTC, ETH, and more. This system combines multiple institutional-grade concepts: ✅ Glow Cloud Visual Engine : Highlights momentum shifts based on EMA stacking, MACD histogram, and RSI thresholds, with dynamically adaptive glow coloring for immediate market state recognition. ✅ Soft Multi-Timeframe Confirmation : Higher timeframe EMAs reinforce trend bias without filtering out actionable setups. ✅ Liquidity Swing Levels : Real-time plotting of recent swing highs and lows to identify key liquidity zones where institutional flushes and reversals often occur. ✅ MACD / RSI Panels : Embedded momentum panels for deeper market context. ✅ VWAP Anchor : Anchors price action to volume-weighted mean for institutional bias tracking. ✅ Non-Repainting, Real-Time Execution : Fully built on confirmed bar closes — alerts and visuals match live price action. Recommended Use: Works across all timeframes and markets. Highly effective on 1min–15min for scalping SPY, QQQ, BTC, ETH. Can be combined with additional liquidity sweep or flush/snap detection systems for advanced setups. Fully supports TradingView alerts (push notifications, SMS, email). Designed for traders who want clean, actionable visuals that mirror institutional liquidity behavior without clutter or noise. 👉 Disclaimer : This tool is not financial advice. Use proper risk management.
อินดิเคเตอร์ Pine Script®
โดย StanTheTradingMan
ULTRA RSI 2025//@version=6 indicator(title="ULTRA RSI 2025", shorttitle="ULTRA RSI 2025", format=format.price, precision=2) // ==================== CONFIGURAÇÃO VISUAL FUTURISTA ==================== cyberTheme = input.string("IC", title="🎨 Tema Visual", options= , group="🎨 Visual Settings") showGradients = input.bool(true, title="🎨 Exibir Preenchimentos em Gradiente", group="🎨 Visual Settings") glowIntensity = input.float(0.3, title="🎨 Intensidade do Brilho", minval=0.0, maxval=1.0, step=0.1, group="🎨 Visual Settings") // Cores para hline (usando input.color) overboughtColor = input.color(color.new(#ff0000, 20), title="📈 Cor Sobrevendido", group="🎨 Visual Settings") oversoldColor = input.color(color.new(#31fc09, 20), title="📉 Cor Sobrecomprado", group="🎨 Visual Settings") midlineColor = input.color(color.new(#ffffff, 81), title="⚡ Cor da Linha Média", group="🎨 Visual Settings") // ==================== CORES FUTURISTAS ==================== getThemeColors() => switch cyberTheme "IC" => "Matrix Green" => "Tron Orange" => "Blade Runner Pink" => => = getThemeColors() // Colores adicionales cyber cyberGreen = color.new(#39FF14, 0) cyberRed = color.new(#FF073A, 0) darkCyber = color.new(#0D1117, 0) neonWhite = color.new(#FFFFFF, 0) // ==================== CÓDIGO RSI ORIGINAL (SIN MODIFICAR) ==================== rsiLengthInput = input.int(14, minval=1, title=" RSI Length", group=" RSI Settings") rsiSourceInput = input.source(close, " Source", group=" RSI Settings") calculateDivergence = input.bool(false, title=" Calculate Divergence", group=" RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.") change = ta.change(rsiSourceInput) up = ta.rma(math.max(change, 0), rsiLengthInput) down = ta.rma(-math.min(change, 0), rsiLengthInput) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) // ==================== VISUAL FUTURISTA ==================== // Color dinámico para el RSI getRsiColor(rsiValue) => if rsiValue >= 80 neonPrimary // Azul neón para sobrecomprado else if rsiValue >= 70 color.new(neonPrimary, 30) else if rsiValue <= 20 cyberRed // Rojo cyber para sobrevendido else if rsiValue <= 30 color.new(cyberRed, 30) else if rsiValue > 50 color.new(cyberGreen, 40) else color.new(neonSecondary, 50) rsiColor = getRsiColor(rsi) glowColor = color.new(rsiColor, math.round(100 - glowIntensity * 100)) // Plot RSI con efecto glow futurista rsiPlot = plot(rsi, "🔮 Cyber RSI", color=rsiColor, linewidth=3) plot(rsi, "✨ RSI Glow 1", color=glowColor, linewidth=5) plot(rsi, "✨ RSI Glow 2", color=color.new(rsiColor, 90), linewidth=7) // Líneas de banda con estilo cyber rsiUpperBand = hline(70, "🔥 Cyber Overbought", color=overboughtColor, linestyle=hline.style_dashed, linewidth=2) midline = hline(50, " Cyber Midline", color=midlineColor, linestyle=hline.style_dotted) rsiLowerBand = hline(30, "❄️ Cyber Oversold", color=oversoldColor, linestyle=hline.style_dashed, linewidth=2) // Background fills futuristas midLinePlot = plot(50, color = na, editable = false, display = display.none) // Fill condicional usando operador ternario backgroundFillColor = showGradients ? color.new(darkCyber, 90) : na overboughtFillColor = showGradients ? color.new(neonPrimary, 0) : na overboughtFillColorBottom = showGradients ? color.new(neonPrimary, 100) : na oversoldFillColorTop = showGradients ? color.new(neonSecondary, 100) : na oversoldFillColorBottom = showGradients ? color.new(neonSecondary, 0) : na fill(rsiUpperBand, rsiLowerBand, color=backgroundFillColor, title="🌃 Cyber Background") fill(rsiPlot, midLinePlot, 100, 70, top_color = overboughtFillColor, bottom_color = overboughtFillColorBottom, title = "🌌 Cyber Overbought Zone") fill(rsiPlot, midLinePlot, 30, 0, top_color = oversoldFillColorTop, bottom_color = oversoldFillColorBottom, title = "🌌 Cyber Oversold Zone") // ==================== SMOOTHING MA (CÓDIGO ORIGINAL) ==================== GRP = "🌊 Smoothing" TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands." maTypeInput = input.string("SMA", "Type", options = , group = GRP, display = display.data_window) maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window) bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window) var enableMA = maTypeInput != "None" var isBB = maTypeInput == "SMA + Bollinger Bands" // Smoothing MA Calculation (CÓDIGO ORIGINAL) ma(source, length, MAtype) => switch MAtype "SMA" => ta.sma(source, length) "SMA + 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) // Smoothing MA plots con colores cyber smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na plot(smoothingMA, "🌊 Cyber MA", color=color.new(color.yellow, 0), linewidth=2, display = enableMA ? display.all : display.none, editable = enableMA) bbUpperBand = plot(smoothingMA + smoothingStDev, title = "🔺 Upper Cyber Band", color=neonPrimary, linewidth=2, display = isBB ? display.all : display.none, editable = isBB) bbLowerBand = plot(smoothingMA - smoothingStDev, title = "🔻 Lower Cyber Band", color=neonSecondary, linewidth=2, display = isBB ? display.all : display.none, editable = isBB) // Fill para Bollinger Bands bbFillColor = isBB ? color.new(neonPrimary, 90) : na fill(bbUpperBand, bbLowerBand, color=bbFillColor, title="🌌 Cyber Bollinger Fill", display = isBB ? display.all : display.none, editable = isBB) // ==================== DIVERGENCE (CÓDIGO ORIGINAL CORREGIDO) ==================== lookbackRight = 5 lookbackLeft = 5 rangeUpper = 60 rangeLower = 5 bearColor = cyberRed bullColor = cyberGreen textColor = neonWhite noneColor = color.new(color.white, 100) // Función _inRange calculada en cada barra _inRange(bool cond) => bars = ta.barssince(cond) rangeLower <= bars and bars <= rangeUpper plFound = false phFound = false bullCond = false bearCond = false rsiLBR = rsi // Calcular _inRange en cada barra para evitar inconsistencias plFoundPrev = not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight) ) phFoundPrev = not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight) ) inRangeBull = _inRange(plFoundPrev) inRangeBear = _inRange(phFoundPrev) if calculateDivergence //------------------------------------------------------------------------------ // Regular Bullish // rsi: Higher Low plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight)) rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and inRangeBull // Price: Lower Low lowLBR = low priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1) bullCond := priceLL and rsiHL and plFound //------------------------------------------------------------------------------ // Regular Bearish // rsi: Lower High phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight)) rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and inRangeBear // Price: Higher High highLBR = high priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1) bearCond := priceHH and rsiLH and phFound // Divergence plots con estilo cyber plot( plFound ? rsiLBR : na, offset = -lookbackRight, title = "🚀 Cyber Bull Divergence", linewidth = 3, color = (bullCond ? bullColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bullCond ? rsiLBR : na, offset = -lookbackRight, title = "🚀 Cyber Bull Signal", text = "🚀 BULL", style = shape.labelup, location = location.absolute, color = bullColor, textcolor = textColor, size = size.normal, display = display.pane, editable = calculateDivergence) plot( phFound ? rsiLBR : na, offset = -lookbackRight, title = "🔻 Cyber Bear Divergence", linewidth = 3, color = (bearCond ? bearColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bearCond ? rsiLBR : na, offset = -lookbackRight, title = "🔻 Cyber Bear Signal", text = "🔻 BEAR", style = shape.labeldown, location = location.absolute, color = bearColor, textcolor = textColor, size = size.normal, display = display.pane, editable = calculateDivergence) // ==================== TABLA DE INFORMACIÓN CYBER ==================== // Calcular ta.change en cada barra para consistencia rsiChange3 = ta.change(rsi, 3) if barstate.islast var table infoTable = table.new(position.top_right, 2, 5, bgcolor=color.new(darkCyber, 10), border_width=2, border_color=neonPrimary, frame_width=3, frame_color=neonSecondary) table.clear(infoTable, 0, 0, 1, 4) table.cell(infoTable, 0, 0, " ULTRA RSI", bgcolor=neonPrimary, text_color=neonWhite, text_size=size.small) table.cell(infoTable, 1, 0, " INFO", bgcolor=neonSecondary, text_color=neonWhite, text_size=size.small) table.cell(infoTable, 0, 1, " VALOR RSI", bgcolor=color.new(darkCyber, 30), text_color=neonPrimary, text_size=size.small) table.cell(infoTable, 1, 1, str.tostring(math.round(rsi, 2)), bgcolor=color.new(darkCyber, 30), text_color=neonWhite, text_size=size.small) rsiStatus = rsi >= 70 ? " SOBRENDIDO" : rsi <= 30 ? " SOBRECOMPRADO" : " NEUTRO" statusColor = rsi >= 70 ? cyberRed : rsi <= 30 ? cyberGreen : neonWhite table.cell(infoTable, 0, 2, " MOMENTO", bgcolor=color.new(darkCyber, 30), text_color=neonSecondary, text_size=size.small) table.cell(infoTable, 1, 2, rsiStatus, bgcolor=color.new(darkCyber, 30), text_color=statusColor, text_size=size.small) if enableMA table.cell(infoTable, 0, 3, " EMA RSI", bgcolor=color.new(darkCyber, 30), text_color=neonPrimary, text_size=size.small) table.cell(infoTable, 1, 3, str.tostring(math.round(smoothingMA, 2)), bgcolor=color.new(darkCyber, 30), text_color=neonWhite, text_size=size.small) momentum = rsiChange3 > 0 ? " SUBINDO" : " CAINDO" momentumColor = rsiChange3 > 0 ? cyberGreen : cyberRed table.cell(infoTable, 0, 4, " TENDÊNCIA", bgcolor=color.new(darkCyber, 30), text_color=neonPrimary, text_size=size.small) table.cell(infoTable, 1, 4, momentum, bgcolor=color.new(darkCyber, 30), text_color=momentumColor, text_size=size.small) // ==================== ALERTS (CÓDIGO ORIGINAL) ==================== alertcondition(bullCond, title='🚀 Cyber Bullish Divergence', message="🎯 Found a new Cyber Bullish Divergence!") alertcondition(bearCond, title='🔻 Cyber Bearish Divergence', message='🎯 Found a new Cyber Bearish Divergence!')
อินดิเคเตอร์ Pine Script®
โดย HJJSC