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SECTOR ROTATION Sector Rotation Indicator with Auto Chart Symbol This indicator helps traders track relative performance across multiple indices/sectors simultaneously, making it easy to identify sector rotation and market leadership. Key Features: ✅ 21 Symbols Tracking: Monitor 20 customizable symbols + your current chart symbol automatically(DIVIDEND SYMBOL) ✅ Percentage Performance: All moving averages show percentage gain/loss from 1 timeframe period ago ✅ Color-Coded Visualization: Heat map coloring (red to green) based on relative performance ranking ✅ Flexible Timeframes: Works on any timeframe from 1-minute to 12-month charts ✅ Performance Table: Quick-view table showing candle performance with inside/outside bar detection ✅ Indian Market Ready: Pre-configured with NSE indices (NIFTY, BANKNIFTY, and sectoral indices) Default Symbols (Customizable): NIFTY, CNXSMALLCAP, CNXMIDCAP, BANKNIFTY Sector indices: IT, AUTO, PHARMA, METAL, ENERGY, FMCG, etc. Plus your current chart symbol (automatically added) How It Works: Select your preferred timeframe (1D, 1W, 1M, etc.) The indicator calculates percentage performance from given period ago Moving averages show smoothed performance trends Colors indicate relative strength: Green = outperformers, Red = underperformers Perfect For: Sector rotation analysis Relative strength comparison Market breadth assessment Index/ETF traders Swing and position traders Settings: Adjustable MA length (default: 20) Customizable colors and table position Show/hide percentage labels Horizontal or vertical table layout This is not any buy or sell signal or recommendation, consult with your advisor first.
Indikator Pine Script®
oleh Joy_Mukherjee
NEURAL FLOW INDEX — Core Energy • Momentum Stream • Pulse SyncNeural Flow Index (NFI) — Advanced Triple-Layer Reversal Framework The Neural Flow Index (NFI) is a next-generation market oscillator designed to reveal the hidden synchronization between trend energy, cyclical momentum, and internal pulse dynamics. It merges three powerful analytical layers into a single, normalized view: Core Energy Curve (based on RSO logic) — captures structural trend bias and volatility expansion. Momentum Stream (WaveTrend algorithm) — visualizes cyclical motion of price waves. Pulse Sync (Stochastic RSI adaptation) — measures short-term momentum rhythm and overextension. Each layer feeds into a unified flow model that adapts to both trend-following and reversal conditions. The goal is not to chase every fluctuation, but to sense where momentum, direction, and volatility converge into true inflection points. Conceptual Mechanics The oscillator translates complex market behavior into an elegant, multi-phase signal system: Core Energy Curve (RSO foundation): A smoothed dynamic field representing the overall strength and direction of market pressure. Green energy indicates expansion (bullish dominance); red energy reflects contraction (bearish decay). Momentum Stream (WaveTrend): The teal line functions like an electro-wave, oscillating through phases of expansion and exhaustion. It provides the heartbeat of the market — smooth, rhythmic, and beautifully cyclic. Pulse Sync (Stochastic RSI): The purple line acts as the market’s nervous pulse, reacting to micro-momentum changes before the larger trend adjusts. It identifies micro-tops and micro-bottoms that precede major trend shifts. When these three forces align, they create high-probability reversal zones known as Neural Nodes — regions where energy, momentum, and rhythm converge. Trading Logic Potential Entry Zones: When the purple Pulse Sync line crosses the green Momentum Stream near the lower or upper bounds of the oscillator, a potential turning point forms. Yet, these crossovers are only validated when the Core Energy histogram (RSO) simultaneously supports the same direction — confirming that energy and rhythm are synchronized. Histogram Confirmation: The histogram is the “voice” of the oscillator. Rising green volume within the histogram during a Pulse-Momentum crossover suggests a legitimate upward reversal. Conversely, expanding red energy during an upper-band cross indicates momentum exhaustion and an early short-side opportunity. Neutral Zones: When all three layers flatten near the zero line, the market enters an equilibrium phase — no clear trend dominance, ideal for patience and re-entry planning. | Layer | Representation | Color | Function | | --------------------- | ------------------- | ----------------- | ------------------------------ | | **Core Energy Curve** | Area / Histogram | Lime-Red gradient | Trend bias & volatility energy | | **Momentum Stream** | WaveTrend line | Teal | Cyclical flow of price | | **Pulse Sync** | Stochastic RSI line | Purple | Short-term momentum rhythm | Interpretation Summary Converging Waves: Trend, momentum, and pulse move together → strong continuation. Diverging Waves: Pulse or Momentum decouple from Core Energy → early reversal warnings. Histogram Expansion: Confirms direction and strength of the new wave. Crossovers at Extremes: Potential entries, especially when confirmed by energy alignment. 🪶 Philosophy Behind NFI The Neural Flow Index is not just a technical indicator — it’s a behavioral visualization system. Instead of focusing on lagging confirmations, it captures the neural pattern of price motion: how liquidity flows, contracts, and expands through time. It bridges the gap between pure mathematics and market intuition — giving traders a cinematic, harmonic view of energy transition inside price structure.
Indikator Pine Script®
oleh ozgurzari
DAX Zonen Ergänzungen (Pro Signale + EMAs mit Filter RSI MACD)📊 DAX Zones Enhancements (Pro Signals + EMA with RSI & MACD Filter) Description: This indicator enhances DAX trading analysis by combining dynamic support/resistance zones with professional-level signal filters. It automatically detects potential buy and sell zones and confirms them using EMA trends, RSI conditions, and MACD momentum. Key features: 🔹 Visual display of DAX high- and low-price zones 🔹 EMA-based trend confirmation 🔹 RSI and MACD filters to reduce false signals 🔹 Customizable alerts when price interacts with key zones 🔹 Works on multiple timeframes Ideal for traders who want a clean, rule-based approach to identifying high-probability entries and exits on the DAX index.
Indikator Pine Script®
oleh dfce82
GARCH Range PredictorThis was inspired by deltatrendtrading's video on GARCH models to predict daily trading ranges and identify favorable trading conditions. Based on advanced volatility forecasting techniques, it predicts whether a trading day's true range will exceed a threshold, helping traders decide when to trade or skip a session. Key Features GARCH(1,1) Volatility Modeling: Uses log-transformed true ranges with exponential moving average centering Forward-Looking Predictions: Makes predictions at session start before the day unfolds Dynamic or Static Thresholds: Choose between fixed dollar thresholds or adaptive 20-day averages Accuracy Tracking: Monitors prediction accuracy with overall and recent (20-day) hit rates Visual Session Boxes: Colors trading sessions green (trade) or red (skip) based on predictions Real-Time Statistics: Displays current predictions, thresholds, and performance metrics How It Works Data Transformation: Log-transforms daily true ranges and centers them using an EMA Variance Modeling: Updates GARCH variance using: σ²ₜ = ω + α(residual²) + β(σ²ₜ₋₁) Prediction Generation: Back-transforms log predictions to dollar values Signal Generation: Compares predictions to threshold to generate trade/skip signals Performance Tracking: Validates predictions against actual outcomes Parameters GARCH Parameters (ω, α, β): Control volatility persistence and mean reversion EMA Period: Smoothing period for log range centering Threshold Settings: Static dollar amount or dynamic multiplier of recent averages Session Time: Define regular trading hours for analysis Best Use Cases Breakout and momentum strategies that perform better on high-range days Risk management by avoiding low-volatility sessions Futures day trading (optimized for MNQ/NQ detection) Any strategy where daily range impacts profitability Important Notes Requires 5+ sessions for initialization and warm-up Accuracy depends heavily on proper parameter tuning for your specific instrument Default parameters may need adjustment for different markets Monitor the hit rate to validate effectiveness on your timeframe
Indikator Pine Script®
oleh yundore
FCBI Brake PressureBrake Pressure (FCBI − USIRYY) Concept The Brake Pressure indicator quantifies whether the bond market is braking or releasing liquidity relative to real yields (USIRYY). It is derived from the Financial-Conditions Brake Index (FCBI) and expresses the balance between long-term yield pressure and real-rate dynamics. Formula Brake Pressure = FCBI − USIRYY where FCBI = (US10Y) − (USINTR) − (CPI YoY) Purpose While FCBI measures the intensity of financial-condition pressure, Brake Pressure shows when that brake is being applied or released. It captures the turning point of liquidity transmission in the financial system. How to Read Brake Pressure < 0 (orange) → Brake engaged → financial conditions tighter than real-rate baseline; liquidity constrained. Brake Pressure ≈ 0 → Neutral zone → transition phase between tightening and easing. Brake Pressure > 0 (teal) → Brake released → financial conditions looser than real-rate baseline; liquidity flows freely → late-cycle setup before recession. Zero-Cross Logic Cross ↑ above 0 → FCBI > USIRYY → brake released → liquidity acceleration → typically 6–18 months before recession. Cross ↓ below 0 → FCBI < USIRYY → brake re-engaged → tightening resumes. Historical Behavior Each major U.S. recession (2001, 2008, 2020) was preceded by a Brake Pressure cross above zero after a negative phase, signaling that long yields had stopped resisting Fed cuts and liquidity was expanding. Practical Use • Identify late-cycle turning points and liquidity inflection phases. • Combine with FCBI for a complete macro transmission picture. • Watch for sustained positive readings as early macro-recession warnings. Current Example (Oct 2025) FCBI ≈ −3.1, USIRYY ≈ +3.0 → Brake Pressure ≈ −6.1 → Brake still engaged. When this crosses above 0, it signals that liquidity is free flowing and the recession countdown has begun. Summary FCBI shows how tight the brake is. Brake Pressure shows when the brake releases. When Brake Pressure > 0, the system has entered the liquidity-expansion phase that historically precedes a U.S. recession.
Indikator Pine Script®
oleh AMTrader
Financial-Conditions Brake Index (FCBI) — US10Y brake on USIRYYFinancial-Conditions Brake Index (FCBI) – US10Y Brake on USIRYY Concept The Financial-Conditions Brake Index (FCBI) measures how U.S. long-term yields (US10Y) interact with the Federal Funds Rate (USINTR) and inflation (CPI YoY) to shape real-rate conditions (USIRYY). It visualizes whether the bond market is tightening or loosening overall financial conditions relative to the Federal Reserve’s policy stance. Formula FCBI = (US10Y) − (USINTR) − (CPI YoY) How It Works The FCBI expresses the difference between the long-term yield curve and short-term policy rates, adjusted for inflation. It shows whether the long end of the curve is amplifying or counteracting the Fed’s stance. FCBI > +2 → Strong brake → Long yields remain elevated despite easing → tight conditions → recession delayed. FCBI +1 to +2 → Mild brake → Financial transmission slower; lag ≈ 12–18 months. FCBI 0 to +1 → Neutral → Typical early post-cut environment. FCBI < 0 → Accelerator → Long yields and inflation expectations falling → liquidity flows freely → recession often follows within 6–14 months. How to Read the Chart Blue line (FCBI) shows the strength of the financial brake. Red line (USIRYY) represents the real yield baseline. Recession shading (gray) marks NBER recessions for comparison. FCBI < USIRYY → Brake engaged → financial conditions tighter than real-rate baseline. FCBI > USIRYY → Brake released → long end easing faster than policy → liquidity surge → late-cycle setup. Historically, U.S. recessions begin on average about 14 months after the first Fed rate cut, and a decline of the FCBI below zero often precedes that window. Practical Use Use the FCBI to identify when policy transmission is blocked (brake engaged) or flowing (brake released). Cross-check with yield-curve inversions, Fed policy shifts, and inflation expectations to estimate macro timing windows. Current Example (Oct 2025) FCBI ≈ −3.1, USIRYY ≈ +3.0 → Brake still engaged. Once FCBI rises above USIRYY and crosses positive, it signals the “brake released” phase — historically the final liquidity surge before a U.S. recession. Summary FCBI shows how tight the brake is. USIRYY shows how fast the car is moving. When FCBI rises above USIRYY, the brake is released — liquidity accelerates and the historical recession countdown begins.
Indikator Pine Script®
oleh AMTrader
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms. This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades. How It Works Core Signal Generation: The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag: Calculate lag period: floor((length - 1) / 2) Apply lag correction: src + (src - src ) Calculate ZLEMA: EMA of lag-corrected price Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries. Trend Detection: The strategy maintains a trend variable that switches between bullish (1) and bearish (-1): Long Signal: Triggers when price crosses above ZLEMA + volatility band Short Signal: Triggers when price crosses below ZLEMA - volatility band Optional ZLEMA Trend Confirmation: When enabled, this filter requires ZLEMA to show directional momentum before entry: Bullish Confirmation: ZLEMA must increase for 4 consecutive bars Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars This additional filter helps avoid false signals in choppy or ranging markets. Risk Management Features: The strategy includes multiple stop-loss and take-profit mechanisms: Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier) ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio Trend-Based Exit: Closes position when price crosses EMA in opposite direction Performance Tracking: The strategy includes optional features for monitoring and analyzing trades: Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade CSV Export Fields: Outputs trade data for external analysis Default Strategy Settings Commission & Slippage: Commission: 0.1% per trade Slippage: 3 ticks Initial Capital: $1,000 Position Size: 100% of equity per trade Main Calculation Parameters: Length: 70 (range: 70-7000) - Controls ZLEMA calculation period Band Multiplier: 1.2 - Adjusts width of volatility bands Entry Conditions (All Disabled by Default): Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends Short Trades: Allow Short Trades: OFF - Strategy is long-only by default Performance Settings (All Disabled by Default): Use Profit Target: OFF Profit Target Risk-Reward Ratio: 2.0 (when enabled) Dynamic TP/SL (All Disabled by Default): Use ATR-Based Stop-Loss & Take-Profit: OFF ATR Length: 14 Stop-Loss ATR Multiplier: 1.5 Profit Target ATR Multiplier: 2.5 Use ATR Trailing Stop: OFF Trailing Stop ATR Multiplier: 1.5 Use Break-Even Stop-Loss: OFF Move SL to Break-Even After RR: 1.5 Use Trend-Based Take Profit: OFF EMA Exit Length: 9 Trade Data Display (All Disabled by Default): Show Floating Stats Table: OFF Show Trade Log Labels: OFF Enable CSV Export: OFF Trade Label Vertical Offset: 0.5 Backtesting Date Range: Start Date: January 1, 2018 End Date: December 31, 2069 Important Usage Notes Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled. Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled. Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions. Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting. Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used. Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid. Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance. Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions. Recommended Use Cases Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations Limitations & Considerations Like all trend-following strategies, performance may suffer in choppy or ranging markets Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management Higher length values (70+) reduce signal frequency but may improve signal quality Multiple simultaneous risk management features may create conflicting exit signals Past performance shown in backtests does not guarantee future results Customization Tips For more aggressive trading: Reduce length parameter (minimum 70) Decrease band multiplier for tighter bands Enable short trades Use lower profit target R:R ratios For more conservative trading: Increase length parameter Enable ZLEMA trend confirmation Use wider ATR stop-loss multipliers Enable break-even stop-loss Reduce position size from 100% default For optimal choppy market performance: Enable ZLEMA trend confirmation Increase band multiplier Use tighter profit targets Avoid re-entry on trend continuation Visual Elements The strategy plots several elements on the chart: ZLEMA line (color-coded by trend direction) Upper and lower volatility bands Long entry markers (green triangles) Short entry markers (red triangles, when enabled) Stop-loss levels (when positions are open) Take-profit levels (when enabled and positions are open) Trailing stop lines (when enabled and positions are open) Optional ZLEMA trend markers (triangles at highs/lows) Optional trade log labels showing complete trade information Exit Reason Codes (for CSV Export) When CSV export is enabled, exit reasons are coded as: 0 = Manual/Other 1 = Trailing Stop-Loss 2 = Profit Target 3 = ATR Stop-Loss 4 = Trend Change Conclusion Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms. The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization. Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size. ================================================================================ TAGS: ================================================================================ trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting ================================================================================ CATEGORY: ================================================================================ Strategies ================================================================================ CHART SETUP RECOMMENDATIONS: ================================================================================ For optimal visualization when publishing: Use a clean chart with no other indicators overlaid Select a timeframe that shows multiple trade signals (4H or Daily recommended) Choose a trending asset (crypto, forex major pairs, or trending stocks work well) Show at least 6-12 months of data to demonstrate strategy across different market conditions Enable the floating stats table to display key performance metrics Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc. Make sure symbol information and timeframe are clearly visible ================================================================================ COMPLIANCE NOTES: ================================================================================ ✅ Open-source publication with complete code visibility ✅ English-only title and description ✅ Detailed explanation of methodology and calculations ✅ Realistic commission (0.1%) and slippage (3 ticks) included ✅ All default parameters clearly documented ✅ Performance limitations and risks disclosed ✅ No unrealistic claims about performance ✅ No guaranteed results promised ✅ Appropriate for public library (original trend-following implementation with ZLEMA) ✅ Educational disclaimers included ✅ All features explained in detail ================================================================================
Strategi Pine Script®
oleh Quant_Trading_Pro
Liquidity Sweeps & Swings (SMC/ICT)Liquidity Sweeps & Swings (SMC/ICT) — TradingATH Precision. Clarity. Structure. This refined indicator automatically detects and displays Liquidity Sweeps and Liquidity Swings , highlighting the precise points where liquidity is taken and where structure shifts occur within price action. Designed for traders applying Smart Money Concepts (SMC/ICT) , it offers a clear, data-driven visualization of market dynamics — providing structural context with professional accuracy and visual balance. What You’ll See Liquidity Sweeps represented as compact shaded zones, green for bullish sweeps and red for bearish ones, fading automatically once mitigated. Liquidity Swings precisely labeled “ Swing High ” and “ Swing Low ” at major pivot points, cleanly positioned within structure. Controlled-length zones that extend for a defined number of bars or dynamically until mitigation. Optional real-time alerts when a new sweep forms or price re-enters an active zone. Features Sweep Detection Logic : Identifies liquidity grabs using Wick, Close, or Wick + Close validation for flexible precision across different market conditions. Smart Mitigation : Zones dynamically fade or are removed once price mitigates the area, keeping your chart clean and relevant. Swing Mapping : Highlights key pivot points to outline market structure shifts with precise and minimal labeling. ATR Filtering : Optional volatility-based filter removes minor or insignificant sweeps to maintain clarity. Elegant Design : Subtle colors, refined typography, and balanced spacing ensure a professional, unobtrusive presentation. Alerts and Updates : Automated alerts for new sweep formations and live interaction with active zones. Professional Architecture : Efficient execution, size-safe arrays, and optimized plotting for smooth performance on any timeframe. ICT/SMC Ready : Fully compatible with advanced institutional concepts such as Fair Value Gaps, Order Blocks, and Market Structure Shifts. Perfect For Traders applying ICT or Smart Money Concepts methodologies to identify liquidity grabs and structural intent. Intraday Traders seeking precise, uncluttered sweep and swing identification on volatile charts. Swing Traders filtering high-probability setups based on liquidity structure and mitigation behavior. Analysts requiring clarity, reliability, and technical precision in their liquidity mapping tools. Recommended Settings Pivot Lookback : 14 (balanced structural sensitivity). Sweep Validation : Wick + Close (adaptive precision). Zone Length : 150 bars (controlled visual reach). ATR Filter : Minimum 0.25×, Maximum 3× (clean sweep selection). Swing Labels : Enabled (for structural clarity). In Short Clean logic. Institutional precision. Professional clarity. Liquidity Sweeps & Swings (SMC/ICT) delivers a disciplined and refined visualization of liquidity flow and structural shifts — crafted for traders who demand both analytical accuracy and visual sophistication. Created by: TradingATH
Indikator Pine Script®
oleh PueblaATH
16
Inside Bar + Harami ComboThis indicator visually highlights Inside Bars, Outside Bars, and Harami candlestick patterns directly on your chart using clean color-coded candles — no labels, no shapes, just visual clarity. It helps traders quickly identify potential reversal and continuation setups by coloring candles according to the detected pattern type. 🔍 Patterns Detected 🟨 Inside Bar — Current candle’s range is completely inside the previous candle’s range. Often signals price contraction before a breakout. 💗 Outside Bar — Current candle’s high and low exceed the previous candle’s range. Indicates volatility expansion and possible trend continuation. 🟩 Bullish Harami — A small bullish candle within the body of a prior bearish candle. Suggests potential reversal to the upside. 🟥 Bearish Harami — A small bearish candle within the body of a prior bullish candle. Suggests potential reversal to the downside. ⚙️ Features Customizable colors for each pattern type. Simple overlay visualization — no shapes, no labels, just colored candles. Harami colors automatically override Inside/Outside colors when both occur on the same bar. Lightweight logic for smooth performance on any timeframe or symbol. 💡 How to Use Apply the indicator to your chart. Configure colors in the settings panel if desired. Watch for highlighted candles: Inside Bars often precede breakouts. Harami patterns can mark reversal zones. Combine with trend tools (like moving averages) to confirm setups. ⚠️ Note This indicator is for visual pattern detection and educational use only. Always combine candlestick signals with broader technical or market context before trading decisions.
Indikator Pine Script®
oleh Latibonit15
Volume + MA5 & MA10This Volume + MA5 & MA10 (Technical Volume Trend Analysis) The Volume + MA5 & MA10 indicator provides a precise view of market participation and volume momentum by combining raw volume data with two moving averages (MA5 and MA10). It’s designed for traders who rely on volume-based confirmation to validate price movements, breakouts, and trend reversals. 🔍 Overview This indicator displays volume bars alongside two smooth volume averages — MA5 (short-term) and MA10 (medium-term) — making it easier to detect shifts in market activity. When the short-term average crosses above or below the long-term average, it signals a potential change in trading intensity or market sentiment. ⚙️ Key Features Dual Volume Moving Averages (MA5 & MA10) for short- and medium-term analysis. Dynamic Bar Coloring based on whether current volume exceeds MA5 or MA10. Crossover Detection with visual markers for MA5/MA10 intersections. Alert Conditions to notify you of significant volume trend shifts. Fully customizable appearance and smoothing options. 📊 How to Interpret MA5 > MA10 → Increasing short-term volume activity (strengthening momentum). MA5 < MA10 → Decreasing short-term volume (weakening participation). Rising volume with price → Confirms trend strength. Falling volume with rising/falling price → Suggests potential reversal or reduced conviction. 💡 Applications Confirm breakouts and trend continuations. Identify momentum divergences between price and volume. Filter out low-volume or weak-trend setups. Combine with RSI, MACD, or moving averages for enhanced signal validation. ✅ Advantages Simple yet powerful structure for clean visual analysis. Works across all timeframes and markets (crypto, stocks, forex, indices). No repainting — reliable for both live and historical backtesting. Use Volume + MA5 & MA10 to strengthen your technical analysis and gain a deeper understanding of how market participation drives price trends.
Indikator Pine Script®
oleh Davidovff
OBV (Delta or regular)This is a quite simple script to apply some choices to OBV. You can choose to use regular OBV values or you can choose to use delta OBV values. Delta OBV values calculates the delta between selling volume and buying volume per bar to find discrepancies. You can make the OBV a smoothed line or just keep the normal rigid line. Rigid line is default. A secondary smoothed OBV line is added automatically with color change if the OBV is above or below the smoothed line. You can set your desired MA from SMA, EMA, VWMA and WMA, The same will be applied to both lines if chosen to smooth them both. Both lines are editable from the styles tab (visibility, color and line type) If you for some reason don't want color change on the secondary line, chose the same color for both color 1 and 2. Simple delta OBV example: If a red bar has a long lower wick, OBV will calculate the entire bar towards bearish volume, while the delta will check if there's more buying or selling happening in total. Some times you'll be able to catch divergences in the volume which implies a reversal might be in the making. For instance more selling on a green candle making the OBV drop instead of increasing or vise versa. Hopefully someone finds is useful.
Indikator Pine Script®
oleh GizmoTheInvestor
1
Holt Damped Forecast [CHE]A Friendly Note on These Pine Script Scripts Hey there! Just wanted to share a quick, heartfelt heads-up: All these Pine Script examples come straight from my own self-study adventures as a total autodidact—think late nights tinkering and learning on my own. They're purely for educational vibes, helping me (and hopefully you!) get the hang of Pine Script basics, cool indicators, and building simple strategies. That said, please know this isn't any kind of financial advice, investment nudge, or pro-level trading blueprint. I'd love for you to dive in with your own research, run those backtests like a champ, and maybe bounce ideas off a qualified expert before trying anything in a real trading setup. No guarantees here on performance or spot-on accuracy—trading's got its risks, and those are totally on each of us. Let's keep it fun and educational—happy coding! 😊 Holt Damped Forecast — Damped trend forecasts with fan bands for uncertainty visualization and momentum integration Summary This indicator applies damped exponential smoothing to generate forward price forecasts, displaying them as probabilistic fan bands to highlight potential ranges rather than point estimates. It incorporates residual-based uncertainty to make projections more reliable in varying market conditions, reducing overconfidence in strong trends. Momentum from the trend component is shown in an optional label alongside signals, aiding quick assessment of direction and strength without relying on lagging oscillators. Motivation: Why this design? Standard exponential smoothing often extrapolates trends indefinitely, leading to unrealistic forecasts during mean reversion or weakening momentum. This design uses damping to gradually flatten long-term projections, better suiting real markets where trends fade. It addresses the need for visual uncertainty in forecasts, helping traders avoid entries based on overly optimistic point predictions. What’s different vs. standard approaches? - Reference baseline: Diverges from basic Holt's linear exponential smoothing, which assumes persistent trends without decay. - Architecture differences: - Adds damping to the trend extrapolation for finite-horizon realism. - Builds fan bands from historical residuals for probabilistic ranges at multiple confidence levels. - Integrates a dynamic label combining forecast details, scaled momentum, and directional signals. - Applies tail background coloring to recent bars based on forecast direction for immediate visual cues. - Practical effect: Charts show converging forecast bands over time, emphasizing shorter horizons where accuracy is higher. This visibly tempers aggressive projections in trends, making it easier to spot when uncertainty widens, which signals potential reversals or consolidation. How it works (technical) The indicator maintains two persistent components: a level tracking the current price baseline and a trend capturing directional slope. On each bar, the level updates by blending the current source price with a one-step-ahead expectation from the prior level and damped trend. The trend then adjusts by weighting the change in level against the prior damped trend. Forecasts extend this forward over a user-defined number of steps, with damping ensuring the trend influence diminishes over distance. Uncertainty derives from the standard deviation of historical residuals—the differences between actual prices and one-step expectations—scaled by the damping structure for the forecast horizon. Bands form around the median forecast at specified confidence intervals using these scaled errors. Initialization seeds the level to the first bar's price and trend to zero, with persistence handling subsequent updates. A security call fetches the last bar index for tail logic, using lookahead to align with realtime but introducing minor repaint on unconfirmed bars. Parameter Guide The Source parameter selects the price input for level and residual calculations, defaulting to close; consider using high or low for assets sensitive to volatility, as close works well for most trend-following setups. Forecast Steps (h) defines the number of bars ahead for projections, defaulting to 4—shorter values like 1 to 5 suit intraday trading, while longer ones may widen bands excessively in choppy conditions. The Color Scheme (2025 Trends) option sets the base, up, and down colors for bands, labels, and backgrounds, starting with Ruby Dawn; opt for serene schemes on clean charts or vibrant ones to stand out in dark themes. Level Smoothing α controls the responsiveness of the price baseline, defaulting to 0.3—values above 0.5 enhance tracking in fast markets but may amplify noise, whereas lower settings filter disturbances better. Trend Smoothing β adjusts sensitivity to slope changes, at 0.1 by default; increasing to 0.2 helps detect emerging shifts quicker, but keeping it low prevents whipsaws in sideways action. Damping φ (0..1) governs trend persistence, defaulting to 0.8—near 0.9 preserves carryover in sustained moves, while closer to 0.5 curbs overextensions more aggressively. Show Fan Bands (50/75/95) toggles the probabilistic range display, enabled by default; disable it in oscillator panes to reduce clutter, but it's key for overlay forecasts. Residual Window (Bars) sets the length for deviation estimates, at 400 bars initially—100 to 200 works for short timeframes, and 500 or more adds stability over extended histories. Line Width determines the thickness of band and median lines, defaulting to 2; go thicker at 3 to 5 for emphasis on higher timeframes or thinner for layered indicators. Show Median/Forecast Line reveals the central projection, on by default—hide if bands provide enough detail, or keep for pinpoint entry references. Show Integrated Label activates the combined view of forecast, momentum, and signal, defaulting to true; it's right-aligned for convenience, so turn it off on smaller screens to save space. Show Tail Background colors the last few bars by forecast direction, enabled initially; pair low transparency for subtle hints or higher for bolder emphasis. Tail Length (Bars) specifies bars to color backward from the current one, at 3 by default—1 to 2 fits scalping, while 5 or more underscores building momentum. Tail Transparency (%) fades the background intensity, starting at 80; 50 to 70 delivers strong signals, and 90 or above allows seamless blending. Include Momentum in Label adds the scaled trend value, defaulting to true—ATR% scaling here offers relative strength context across assets. Include Long/Short/Neutral Signal in Label displays direction from the trend sign, on by default; neutral helps in ranging markets, though it can be overlooked during strong trends. Scaling normalizes momentum output (raw, ATR-relative, or level-relative), set to ATR% initially—ATR% ensures cross-asset comparability, while %Level provides percentage perspectives. ATR Length defines the period for true range averaging in scaling, at 14; align it with your chart timeframe or shorten for quicker volatility responses. Decimals sets precision in the momentum label, defaulting to 2—0 to 1 yields clean integers, and 3 or more suits detailed forex views. Show Zero-Cross Markers places arrows at direction changes, enabled by default; keep size small to minimize clutter, with text labels for fast scanning. Reading & Interpretation Fan bands expand outward from the current bar, with the median line as the central forecast—narrower bands indicate lower uncertainty, wider suggest caution. Colors tint up (positive forecast vs. prior level) in the scheme's up hue and down otherwise. The optional label lists the horizon, median, and range brackets at 50%, 75%, and 95% levels, followed by momentum (scaled per mode) and signal (Long if positive trend, Short if negative, Neutral if zero). Zero-cross arrows mark trend flips: upward triangle below bar for bullish cross, downward above for bearish. Tail background reinforces the forecast direction on recent bars. Practical Workflows & Combinations - Trend following: Enter long on upward zero-cross if median forecast rises above price and bands contain it; confirm with higher highs/lows. Short on downward cross with falling median. - Exits/Stops: Trail stops below 50% lower band in longs; exit if momentum drifts negative or signal turns neutral. Use wider bands (75/95%) for conservative holds in volatile regimes. - Multi-asset/Multi-TF: Defaults work across stocks, forex, crypto on 5m-1D; scale steps by TF (e.g., 10+ on daily). Layer with volume or structure tools—avoid over-reliance on isolated crosses. Behavior, Constraints & Performance Closed-bar logic ensures stable historical plots, but realtime updates via security lookahead may shift forecasts until bar confirmation, introducing minor repaint on the last bar. No explicit HTF calls beyond bar index fetch, minimizing gaps but watch for low-liquidity assets. Resources include a 2000-bar lookback for residuals and up to 500 labels, with no loops—efficient for most charts. Known limits: Early bars show wide bands due to sparse residuals; assumes stationary errors, so gaps or regime shifts widen inaccuracies. Sensible Defaults & Quick Tuning Start with defaults for balanced smoothing on 15m-4H charts. For choppy conditions (too many crosses), lower β to 0.05 and raise residual window to 600 for stability. In trending markets (sluggish signals), increase α/β to 0.4/0.2 and shorten steps to 2. If bands overexpand, boost φ toward 0.95 to preserve trend carry. Tune colors for theme fit without altering logic. What this indicator is—and isn’t This is a visualization and signal layer for damped forecasts and momentum, complementing price action analysis. It isn’t a standalone system—pair with risk rules and broader context. Not predictive beyond the horizon; use for confirmation, not blind entries. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Indikator Pine Script®
oleh chervolino
Kalman Exponential SuperTrendThe Kalman Exponential SuperTrend is a new, smoother & superior version of the famous "SuperTrend". Using Kalman smoothing, a concept from the EMA (Exponential Moving Average), this script leverages the best out of each and combines it into a single indicator. How does it work? First, we need to calculate the Kalman smoothed source. This is a kind of complex calculation, so you need to study it if you want to know how it works precisely. It smooths the source of the SuperTrend, which helps us smooth the SuperTrend. Then, we calculate "a" where: n = user defined ATR length a = 2/(n+1) Now we calculate the ATR over "n" period. Classical calculation, nothing changed here. Now we calculate the SuperTrend using the Kalman smoothed source & ATR where: kalman = kalman smoothed source ATR = Average True Range m = Factor chosen by user. Upper Band = kalman + ATR * m Lower Band = kalman - ATR * m Now we just smooth it a bit further using the "a" and a concept from the EMA. u1 = Upper Band a bar ago l1 = Lower Band a bar ago u = Upper Band l = Lower Band Upper = u1 * (1-a) + u * a Lower = l1 * (1-a) + u * a When the classical (not Kalman) source crosses above the Upper, it indicates an uptrend. When it crosses below the Lower, it indicates a downtrend. Methodology & Concepts When I took a look at the classical SuperTrend => It was just far too slow, and if I made it faster it was noisy as hell. So I decided I would try to make up for it. I tried the gaussian, bilateral filter, but then I tried kalman and that worked the best, so I added it. Now it was still too noisy and unconsistent, so I revisited my knowledge of concepts and picked the one from the EMA, and it kinda solved it. In the core of the indicator, all it does is combine them in a really simple way, but if you go more deeply you see how it fits the puzzlé really well. It is not about trying out random things´=> but about seeking what it is missing and trying to lessen its bad side. That is the entire point of this indicator => Offer a unique approach to the SuperTrend type, that lessen the bad sides of it. I also added different plotting types, this is so everyone can find their favorite Enjoy Gs!
Indikator Pine Script®
oleh MisinkoMaster