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Hyper-Spectral Neural Flow [Pineify]Hyper-Spectral Neural Flow - Advanced Gaussian Kernel Trend Detection with Spectral Volatility Bands Transform your chart analysis with a cutting-edge indicator that combines machine learning-inspired smoothing algorithms with stunning visual feedback systems for precise trend identification and market momentum visualization. Overview The Hyper-Spectral Neural Flow is a sophisticated technical analysis tool that implements Gaussian Kernel Regression smoothing to estimate the underlying price trend with minimal lag while providing dynamic volatility-based visual feedback through its signature "spectral aura" display. Unlike conventional moving averages or simple trend indicators, this tool adapts its smoothing characteristics based on localized price behavior, creating a neural-inspired pathway that represents the market's true trend direction. The indicator's core calculation utilizes a 50-bar Gaussian window with customizable bandwidth parameters, allowing traders to balance between responsiveness and smoothness according to their trading style. Surrounding this core trend line are multi-layered spectral bands that expand and contract based on market volatility, measured through a combination of Mean Absolute Error (MAE) and user-defined multipliers. Key Features Gaussian Kernel Neural Core - A proprietary smoothing algorithm that calculates localized weighted averages using Gaussian distribution weights, providing superior noise reduction compared to traditional moving averages Multi-Layered Spectral Aura - Four distinct volatility bands (inner/upper and inner/lower) that create a dynamic visual representation of market volatility and trend strength Adaptive Gradient Fills - Color-gradient transparency that adjusts based on price position relative to the neural core, creating an energy field effect that visually communicates market momentum Trend Pulse Markers - Automatic circular markers that appear precisely when the neural flow shifts direction, providing clear entry/exit signals Dynamic Bar Coloring - Price bars that change color and transparency based on trend direction, enhancing visual pattern recognition Real-Time Trend Calculation - Optimized 50-bar rolling window ensures responsive performance without excessive computational load Customizable Alert System - Built-in alert conditions for neural flow direction changes How It Works The indicator's calculation engine operates on three distinct levels working in harmony: Neural Core Calculation - For each bar, the algorithm computes a weighted average of the previous 50 bars using Gaussian kernel functions. The weight assigned to each historical bar follows a bell curve distribution, where more recent bars receive exponentially higher weights. The mathematical formula is: weight = exp(-(distance²) / (2 × bandwidth²)) , where the bandwidth parameter (default: 8.0) controls the smoothness sensitivity. Volatility Band Derivation - The spectral bands are calculated using the Mean Absolute Error (MAE) between price and the neural core, smoothed over 50 periods and multiplied by a user-defined spectral range multiplier (default: 3.0). This creates four bands: outer upper (+1.0× MAE), inner upper (+0.5× MAE), inner lower (-0.5× MAE), and outer lower (-1.0× MAE). Trend Direction Logic - The system determines trend direction by comparing the current neural core value to the previous bar's value. When the core rises, the bullish flow color activates; when it declines, the bearish flow color engages. Trading Ideas and Insights Trend Following - Use the neural core as your primary trend reference. When price is above the core with the bullish flow color active, look for long entry opportunities on pullbacks to the inner lower spectral band Trend Reversal Detection - Watch for the trend pulse markers combined with price crossing the neural core. A bullish pulse appearing after a bearish phase, especially near the outer lower band, often signals a trend reversal Volatility Contraction Plays - When the spectral bands narrow significantly (indicating low volatility), prepare for potential breakout trades as volatility expansion often follows consolidation periods Support/Resistance Zones - The inner and outer spectral bands often act as dynamic support and resistance levels. Price rejection from these bands, combined with trend pulse markers, provides high-probability trade setups Momentum Assessment - Strong trends show the spectral bands expanding in the direction of the move while maintaining consistent separation. Converging bands suggest momentum weakening How Multiple Indicators Work Together The true power of Hyper-Spectral Neural Flow lies in the synergistic integration of its components: The Gaussian Kernel Core provides the foundational trend direction, eliminating noise while preserving genuine price movements The Spectral Bands add context by showing volatility-adjusted price boundaries, preventing premature entries during low-volatility conditions The Gradient Fill System offers immediate visual feedback about trend strength—wider, more opaque bands indicate stronger trends, while narrow, transparent bands suggest weakness The Trend Pulse Markers serve as confirmation signals, ensuring traders don't act on minor core fluctuations but only on meaningful directional changes This multi-component approach means each element validates the others: a trend pulse marker appearing while price is at an outer band and the spectral aura is expanding provides three independent confirmations of a significant trading opportunity . Unique Aspects Machine Learning Foundation - Unlike most TradingView indicators based on standard technical analysis formulas, this implements concepts from Gaussian Process Regression, a technique used in advanced machine learning applications Visual Hierarchy - The layered design (core line → inner bands → outer bands) creates a natural visual priority system that guides the eye from the most important element (trend direction) to secondary context (volatility levels) Adaptive Smoothing - The Gaussian bandwidth parameter allows traders to morph the indicator between a short-term scalping tool (lower values) and a long-term trend following system (higher values) without changing the underlying algorithm Neuro-Aesthetic Design - The visual language mimics neural network imagery and spectrographic displays, making complex data intuitively understandable through association with familiar scientific visualization How to Use Add the indicator to your chart from the indicators library and overlay it on your price data Begin with default settings (Neural Bandwidth: 8.0, Spectral Range: 3.0) to observe the indicator's behavior on your timeframe For trend following: Only take long trades when the neural core is rising and showing the bullish flow color; only take short trades when the core is declining with bearish flow color For entry timing: Use the inner spectral bands as pullback entry zones during strong trends—the inner lower band for longs, the inner upper band for shorts For stop placement: Consider placing stops just beyond the outer spectral band opposite your trade direction For trend confirmation: Wait for trend pulse markers to appear before entering positions, especially when trading counter-trend reversals For exit signals: Consider partial profits when price reaches the outer band in the direction of your trade, or when a trend pulse marker signals a potential direction change Customization Neural Bandwidth (1.0 to 20.0) - Increase for smoother, slower signals suitable for swing trading (try 12.0-15.0 on daily charts); decrease for more responsive signals for scalping or day trading (try 3.0-5.0 on intraday timeframes) Spectral Range (0.5 to 10.0) - Higher values widen the volatility bands, resulting in fewer signals but potentially larger winning trades; lower values create tighter bands for more frequent signals but increased false signals during volatility spikes Bullish/Bearish Flow Colors - Customize to match your chart aesthetic or preference; consider using colors that contrast well with your background for optimal visibility Aura Opacity (0 to 100) - Adjust to control the prominence of the spectral gradient fills; lower values make the chart less cluttered, higher values emphasize the volatility expansion/contraction cycles Trend Pulse Marks - Disable if you prefer a cleaner visual and plan to rely solely on core direction and band relationships for signals Conclusion The Hyper-Spectral Neural Flow represents a paradigm shift in trend indicator design, bridging the gap between rigorous statistical methodology and intuitive visual communication. By implementing Gaussian kernel regression—typically found in advanced machine learning applications—within an accessible TradingView indicator, it offers traders a professional-grade trend detection tool that doesn't sacrifice usability for sophistication. Whether you're a systematic trader who relies on objective, rule-based signals, a discretionary trader who values contextual market information, or a quantitative analyst seeking robust trend estimation, this indicator provides the flexibility to adapt to your methodology while maintaining mathematical rigor in its core calculations. The integration of volatility-based spectral bands with the neural core creates a complete trading framework in a single indicator: trend identification, volatility assessment, entry timing guidance, and trend change signals—all unified through a cohesive visual language that makes complex data immediately actionable. By understanding how the Gaussian smoothing adapts to market conditions and how the spectral bands breathe with volatility, traders gain deeper insight into market structure beyond simple price movement. Add the Hyper-Spectral Neural Flow to your chart analysis toolkit and experience the difference that machine learning-inspired indicators can make in your trading decisions.

Frozen Bias Zones – Sentiment Lock-ins Overview The Frozen Bias Zones indicator visualizes market sentiment lock-ins using a combination of RSI, MACD, and OBV. It creates "bias zones" that indicate whether the market is in a sustained bullish or bearish phase. These zones are then highlighted on the chart, helping traders spot when the market is locked in a bias. The script also detects breakout events from these zones and marks them with clear labels for easier decision-making. Features Multi-Indicator Sentiment Analysis: Combines RSI, MACD, and OBV to detect synchronized bullish or bearish sentiment. Frozen Bias Zones: Identifies and visually represents zones where the market has remained in a particular sentiment (bullish or bearish) for a defined period. Breakout Alerts: Displays labels to indicate when the price breaks out of the established bias zone. Customizable Inputs: Adjust the zone duration, RSI, MACD, and breakout label visibility. Input Parameters Bias Duration (biasLength) The minimum number of candles the market must stay in a specific sentiment to consider it a "Frozen Bias Zone". Default: 5 candles. RSI Period (rsiPeriod) Period for the Relative Strength Index (RSI) calculation. Default: 14 periods. MACD Settings MACD Fast (macdFast): The fast-moving average period for the MACD calculation. Default: 12. MACD Slow (macdSlow): The slow-moving average period for the MACD calculation. Default: 26. MACD Signal (macdSig): The signal line period for MACD. Default: 9. Show Break Label (showBreakLabel) Toggle to show labels when the price breaks out of the bias zone. Default: True (shows label). Bias Zone Colors Bullish Bias Color (bullColor): The color for bullish zones (light green). Bearish Bias Color (bearColor): The color for bearish zones (light red). How It Works This indicator analyzes three key market metrics to determine whether the market is in a bullish or bearish phase: RSI (Relative Strength Index) Measures the speed and change of price movements. RSI > 50 indicates a bullish phase, while RSI < 50 indicates a bearish phase. MACD (Moving Average Convergence Divergence) Measures the relationship between two moving averages of the price. A positive MACD histogram indicates bullish momentum, while a negative histogram indicates bearish momentum. OBV (On-Balance Volume) Uses volume flow to determine if a trend is likely to continue. A rising OBV indicates bullish accumulation, while a falling OBV indicates bearish distribution. Bias Zone Detection The market sentiment is considered bullish if all three indicators (RSI, MACD, and OBV) are bullish, and bearish if all three indicators are bearish. Bullish Zone: A zone is created when the market sentiment remains bullish for the duration of the specified biasLength. Bearish Zone: A zone is created when the market sentiment remains bearish for the duration of the specified biasLength. These bias zones are visually represented on the chart as colored boxes (green for bullish, red for bearish). Breakout Detection The script automatically detects when the market exits a bias zone. If the price moves outside the bounds of the established zone (either up or down), the script will display one of the following labels: Bias Break (Up): Indicates that the price has broken upwards out of the zone (with a green label). Bias Break (Down): Indicates that the price has broken downwards out of the zone (with a red label). These labels help traders easily identify potential breakout points. Example Use Case Bullish Market Conditions: If the RSI is above 50, the MACD histogram is positive, and OBV is increasing, the script will highlight a green bias zone. Traders can watch for potential bullish breakouts or trend continuation after the zone ends. Bearish Market Conditions: If the RSI is below 50, the MACD histogram is negative, and OBV is decreasing, the script will highlight a red bias zone. Traders can look for potential bearish breakouts when the zone ends. Conclusion The Frozen Bias Zones indicator is a powerful tool for traders looking to visualize prolonged market sentiment, whether bullish or bearish. By combining RSI, MACD, and OBV, it helps traders spot when the market is "locked in" to a bias. The breakout labels make it easier to take action when the price moves outside of the established zone, potentially signaling the start of a new trend. Instructions To use this script: Add the Frozen Bias Zones indicator to your TradingView chart. Adjust the input parameters to suit your trading strategy. Observe the colored bias zones on your chart, along with breakout labels, to make informed decisions on trend continuation or reversal.

TVMC - Composite Indicator with Technical Ratings Description: The TVMC (Trend, Volume, Momentum, Composite) indicator is a powerful multi-component tool designed to provide traders with a comprehensive understanding of market conditions. By combining four essential technical analysis components—trend, momentum, volume, and volatility—this indicator offers clear and actionable insights to assist in decision-making. Key Features: 1. Trend Component (TC): * Based on MACD (Moving Average Convergence Divergence), this component analyzes the relationship between two exponential moving averages (fast and slow) to determine the prevailing market trend. * The MACD signal is normalized to a range of -1 to +1 for consistency and clarity. 2. Momentum Component (MC): * Utilizes RSI (Relative Strength Index) to measure the strength and speed of price movements. * This component highlights overbought or oversold conditions, which may indicate potential market reversals. 3. Volume Confirmation (VC): * Compares the current trading volume to its moving average over a specified period. * High volume relative to the average confirms the validity of the current trend. 4. Volatility Filter (VF): * Uses ATR (Average True Range) to gauge market volatility. * Adjusts and smooths signals to reduce noise during periods of high volatility. 5. Technical Ratings Integration: * Incorporates TradingView’s Technical Ratings, allowing users to validate signals using moving averages, oscillators, or a combination of both. * Users can choose their preferred source of ratings for enhanced signal confirmation. How It Works: The TVMC indicator combines the weighted contributions of the Trend, Momentum, and Volume components, further refined by the Volatility Filter. Each component plays a specific role: * Trend: Identifies whether the market is bullish, bearish, or neutral. * Momentum: Highlights the strength of price action. * Volume: Confirms whether the current price action is supported by sufficient trading activity. * Volatility: Filters out excessive noise in volatile market conditions, providing a smoother and more reliable output. Visualization: 1. Bullish Signals: * The indicator line turns green and remains above the zero line, indicating upward momentum. 2. Bearish Signals: * The indicator line turns red and falls below the zero line, signaling downward momentum. 3. Neutral Signals: * The line is orange and stays near zero, indicating a lack of strong trend or momentum. 4. Zones: * Horizontal lines at +30 and -30 mark strong bullish and bearish zones, respectively. * A zero line is included for clear separation between bullish and bearish signals. Recommended Usage: * Best Timeframes: The indicator is optimized for higher timeframes such as 4-hour (H4) and daily (D1) charts. * Trading Style: Suitable for swing and positional trading. * Customization: The indicator allows users to adjust all major parameters (e.g., MACD, RSI, volume, and ATR settings) to fit their trading preferences. Customization Options: * Adjustable weights for Trend, Momentum, and Volume components. * Fully configurable settings for MACD, RSI, Volume SMA, and ATR periods. * Timeframe selection for multi-timeframe analysis. Important Notes: 1. Originality: The TVMC indicator combines multiple analysis methods into a unique framework. It does not replicate or minimally modify existing indicators. 2. Transparency: The description is detailed enough for users to understand the methodology without requiring access to the code. 3. Clarity: The indicator is explained in a way that is accessible even to users unfamiliar with complex technical analysis tools. Compliance with TradingView Rules: * The indicator is written in Pine Script version 5, adhering to TradingView’s language standards. * The description is written in English to ensure accessibility to the global community, with a clear explanation of all components and functionality. * No promotional content, links, or unrelated references are included. * The chart accompanying the indicator is clean and demonstrates its intended use clearly, with no additional indicators unless explicitly explained.

Jinqian168_V2 RSI, EMA of RSI, EMA of RSI's EMA, and Stochastic. V2 added Price Bar Coloring. Buy when Orange or Green, Sell when Yellow or Red.