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Moving Averages

HaP MACDHaP MACD - Advanced DEMA Assisted Signal Indicator Overview The HaP MACD is an evolution of the classic MACD, designed for traders who demand faster response times and clearer trend visualisations. By integrating DEMA (Double Exponential Moving Average) logic into the standard MACD framework, this indicator filters out noise and highlights momentum shifts with a unique color-coded dot system. How It Works The indicator calculates two types of MACD: a standard one for the main lines and a DEMA-based one for signal generation. This dual approach ensures you stay in the trend while being alerted the moment the momentum starts to fade. Visual Guide & Color Logic The signal dots are placed directly on the MACD line to guide your decisions: 🔵 Blue Dot: The Entry Signal. Appears when DEMA conditions first align for a bullish move. 🟢 Green Dot: Strong Momentum. The trend is active and the MACD value is increasing. 🟠 Orange Dot: Warning Signal. The bullish trend is still active, but the momentum is slowing down (MACD is lower than the previous bar). 🔴 Red Dot: Exit Signal. The bullish condition has ended. It’s time to consider closing the position or tightening stops. Key Features Reduced Lag: DEMA integration provides earlier signals than standard EMA-based MACDs. Trend Monitoring: Easily distinguish between a healthy trend (Green) and a tiring trend (Orange). Customizable: Choose between EMA and SMA for both the oscillator and signal calculations. Crossover Markers: Optional triangle markers for classic MACD crossovers (can be enabled in settings).
Pine Script® indicator
by agahakanaga
16
cd_VW_CxOverview The cd_VW_Cx is a sophisticated trend analysis tool designed to quantify market momentum using Multi-Period VWAP (Volume Weighted Average Price). Unlike standard indicators, this script evaluates the current price relationship across multiple historical VWAP anchors to generate a real-time "Confidence Score" ranging from -100 to +100. 💡 Key Features • Dynamic Anchoring: Seamlessly switch between Daily, Weekly, or Monthly open anchors to align with your trading style (Scalping, Day Trading, or Swing). • Algorithmic Scoring (The Score Box): The indicator compares the current VWAP against historical periods. o Score > +70: Strong Bullish Momentum. o Score < -70: Strong Bearish Momentum. • Polyline Rendering: Utilizes Pine Script v6’s advanced polyline architecture for high-performance, sleek visual plotting that doesn't clutter your chart. • Institutional Support/Resistance: Historical VWAP levels are color-coded, often acting as "invisible" magnetic zones where institutional orders are clustered. 🛠 How to Trade with cd_VW_Cx 1. Momentum Confirmation: Look for the Score Box to turn Teal (Bullish) or Red (Bearish). This indicates that the current trend has statistical backing from multiple previous sessions. 2. The Breakout Signal: The script tracks price crossovers of the current VWAP. A "Bullish Breakout" combined with a high score is a high-probability entry signal. 3. Visual Guidance: Use the custom labels to identify which specific day/week/month’s VWAP is currently being tested as support or resistance. ⚙️ Customizable Settings • Anchor Selection: Choose the calculation basis (Daily, Weekly, Monthly). • Thresholds: Adjust the sensitivity of the Bullish/Bearish alerts (Default is +/- 70). • Visuals: Full control over table positioning, font sizes, and color palettes to match your chart theme. 📢 cd_VW_Cx: Multi-Period VWAP Scoring & Analysis Guide 🔍 Overview & Visual Logic The labels next to the VWAP levels dynamically change based on your Anchor selection: • Daily Open: Displays the Day Name (e.g., Monday, Tuesday). • Weekly Open: Displays the Week Number (1 – 52). • Monthly Open: Displays the Month Number (1 – 12). • General View: ________________________________________ 🚦 How to Filter & Track Your Assets You can monitor your favorite assets using two powerful methods: 1. Real-Time Alerts Stay updated with TradingView notifications: • Per Asset: Track a single pair. • Watchlist Basis: Monitor your entire list at once. Alert Setup Guide: 2. Pine Screener Integration Filter the market effortlessly using the Pine Screener. Pine Screener View: ________________________________________ ⚙️ Settings & Configuration • Timeframe Selection: Your chart timeframe must be lower than the selected Anchor timeframe. (e.g., If "Daily Open" is selected, the timeframe should be lower than 1D). • Anchor Choice: Select Daily, Weekly, or Monthly opens. • Source Selection: Default value is set to ohlc4. Source Settings: Filtering Criteria Examples: • Bullish Filtering: Find assets with high momentum scores. • Bullish Breakout (Single Criteria): Filters assets that have closed above the current VWAP level. • Combined Strength (Score + Breakout): Filters assets that have a Score > 70 AND a fresh VWAP Breakout simultaneously. ________________________________________ ⚠️ Important Notes & Warnings • Calculation Logic: The indicator calculates levels and scores on timeframes lower than the anchor. It is best used on timeframes that are close to but lower than the anchor. • Avoid Extreme Gaps: Using a very low timeframe (e.g., 1m) with a very high anchor (e.g., Monthly) increases the risk of erroneous results. • Optimization: The default score threshold of 70 is a starting point; I recommend adjusting it based on your own trading experience. • The Power of Confluence: VWAP levels are naturally strong. Their significance increases when they coincide with institutional levels like PDH (Previous Day High), Session H/L, or HTF FVG. • Experience Matters: A high score alone is not enough for an entry. Always combine this data with your personal strategy. ________________________________________ 💬 Community & Feedback I would love to hear your suggestions regarding the scoring logic or visual improvements! Feel free to share your thoughts in the comments. Happy Trading! 🚀
Pine Script® indicator
by cdikici71
5
SMA MAD Trend [Alpha Extract]A sophisticated trend identification system that combines Simple Moving Average with Mean Absolute Deviation methodology to create adaptive Super Trend-style bands with advanced strength filtering and gradient visualization. Utilizing ADX-based trend strength validation and slope analysis for signal quality enhancement, this indicator delivers institutional-grade trend detection with dynamic ATR-based ribbon visualization and comprehensive strength measurement. The system's dual-filter architecture eliminates false signals during weak or choppy market conditions while maintaining sensitivity to genuine trend establishment and reversal events. 🔶 Advanced SMA-MAD Band Construction Implements innovative Mean Absolute Deviation calculation around Simple Moving Average baseline to create volatility-adaptive bands with ratcheting logic for trend persistence. The system calculates MAD by measuring absolute price deviations from the mean, then applies configurable multipliers to generate upper and lower bands that adjust to changing market conditions while preventing premature band violations. // Core SMA-MAD Framework SMA_Value = ta.sma(close, SMA_Length) Mean = ta.sma(close, MAD_Length) Abs_Deviation = abs(close - Mean) MAD_Value = ta.sma(Abs_Deviation, MAD_Length) // Adaptive Bands Upper_Band = SMA_Value + MAD_Factor * MAD_Value Lower_Band = SMA_Value - MAD_Factor * MAD_Value 🔶 Intelligent Dual-Filter System Features comprehensive trend validation using ADX strength measurement and slope analysis to eliminate low-conviction signals during ranging or consolidating markets. The system calculates normalized slope strength using ATR scaling and combines with ADX threshold analysis, generating filtered trend states that distinguish genuine trends from temporary price fluctuations. 🔶 Dynamic Trend Strength Engine Implements sophisticated strength calculation combining slope intensity and ADX readings to produce normalized 0-100% strength scores with gradient colour intensity modulation. The system normalizes slope by minimum threshold and ADX by configurable level, multiplying factors to create composite strength measurement that drives visual feedback intensity across all indicator elements. 🔶 Super Trend-Style Direction Logic Utilizes classic Super Trend methodology adapted for SMA-MAD bands, where trend direction flips occur on opposite band violations with persistent state maintenance. The system tracks previous band levels with ratcheting behaviour that adjusts bands only when price movement or new calculations warrant changes, preventing oscillation during normal volatility. 🔶 ATR-Based Ribbon Visualization Provides dynamic ribbon overlay using ATR-scaled width around the trend line with opacity modulation based on trend strength for intuitive conviction assessment. The system creates upper and lower ribbon bounds at configurable ATR multiples, filling the channel with gradient-adjusted transparency that increases during strong trends and fades during weak conditions. 🔶 Multi-Dimensional Visual Architecture Provides complete chart integration through trend line overlay, ATR ribbon fills, candle colouring, background glow, and transition signal labels with configurable visibility toggles. The system enables traders to customize display density from minimal (trend line only) to comprehensive (all visual elements) while maintaining consistent colour scheme and strength-based intensity across components. 🔶 Slope Strength Validation Calculates ATR-normalized slope over configurable lookback periods to measure trend line momentum and filter sideways price action. The system compares absolute slope against minimum threshold requirements, preventing trend signals when price movement relative to the trend line lacks sufficient directional conviction regardless of band position. 🔶 Signal Generation Framework Generates trend change signals when filtered direction state transitions from bearish to bullish or vice versa, with label placement and alert integration. The system implements state persistence that maintains previous trend until both ADX and slope filters confirm directional change, reducing whipsaw signals while capturing genuine reversals with minimal lag. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized variable management and configurable parameters for balance between responsiveness and stability. The system includes intelligent state tracking with NA handling for initial bars and smooth gradient calculations that maintain performance across extended historical periods and real-time updates. This indicator delivers sophisticated trend identification through Mean Absolute Deviation methodology combined with dual-strength filtering for superior signal quality. Unlike traditional Super Trend indicators that rely solely on ATR bands, the SMA-MAD approach uses statistical deviation measurement while incorporating ADX strength and slope validation to eliminate false signals during choppy conditions. The system's gradient-based visual feedback, ATR ribbon visualization, comprehensive dashboard, and multi-dimensional filtering make it essential for traders seeking reliable trend-following approaches with clear conviction measurement across cryptocurrency, forex, and equity markets. The combination of adaptive bands, strength-based transparency, and intelligent filtering creates an institutional-grade trend system suitable for systematic trading strategies.
Pine Script® indicator
by AlphaExtract
Liquidity Maxing [JOAT]Liquidity Maxing - Institutional Liquidity Matrix Introduction Liquidity Maxing is an open-source strategy for TradingView built around institutional market structure concepts. It identifies structural shifts, evaluates trades through multi-factor confluence, and implements layered risk controls. The strategy is designed for swing trading on 4-hour timeframes, focusing on how institutional order flow manifests in price action through structure breaks, inducements, and liquidity sweeps. Core Functionality Liquidity Maxing performs three primary functions: Tracks market structure to identify when control shifts between buyers and sellers Scores potential trades using an eight-factor confluence system Manages position sizing and risk exposure dynamically based on volatility and user-defined limits The goal is selective trading when multiple conditions align, rather than frequent entries. Market Structure Engine The structure engine tracks three key events: Break of Structure (BOS): Price pushes beyond a prior pivot in the direction of trend Change of Character (CHoCH): Control flips from bullish to bearish or vice versa Inducement Sweeps (IDM): Market briefly runs stops against trend before moving in the real direction The structure module continuously updates strong highs and lows, labeling structural shifts visually. IDM markers are optional and disabled by default to maintain chart clarity. The trade engine requires valid structure alignment before considering entries. No structure, no trade. Eight-Factor Confluence System Instead of relying on a single indicator, Liquidity Maxing uses an eight-factor scoring system: Structure alignment with current trend RSI within healthy bands (different ranges for up and down trends) MACD momentum agreement with direction Volume above adaptive baseline Price relative to main trend EMA Session and weekend filter (configurable) Volatility expansion/contraction via ATR shifts Higher-timeframe EMA confirmation Each factor contributes one point to the confluence score. The default minimum confluence threshold is 6 out of 8, but you can adjust this from 1-8 based on your preference for trade frequency versus selectivity. Only when structure and confluence agree does the strategy proceed to risk evaluation. Dynamic Risk Management Risk controls are implemented in multiple layers: ATR-based stops and targets with configurable risk-to-reward ratio (default 2:1) Volatility-adjusted position sizing to maintain consistent risk per trade as ranges expand or compress Daily and weekly risk budgets that halt new entries once thresholds are reached Correlation cooldown to prevent clustered trades in the same direction Global circuit breaker with maximum drawdown limit and emergency kill switch If any guardrail is breached, the strategy will not open new positions. The dashboard clearly displays risk state for transparency. Market Presets The strategy includes configuration presets optimized for different market types: Crypto (BTC/ETH): RSI bands 70/30, volume multiplier 1.2, enhanced ATR scaling Forex Majors: RSI bands 75/25, volume multiplier 1.5 Indices (SPY/QQQ): RSI bands 70/30, volume multiplier 1.3 Custom: Default values for user customization For crypto assets, the strategy automatically applies ATR volatility scaling to account for higher volatility characteristics. Monitoring and Dashboards The strategy includes optional monitoring layers: Risk Operations Dashboard (top-right): Trend state Confluence score ATR value Current position size percentage Global drawdown Daily and weekly risk consumption Correlation guard state Alert mode status Performance Console (top-left): Net profit Current equity Win rate percentage Average trade value Sharpe-style ratio (rolling 50-bar window) Profit factor Open trade count Optional risk tint on chart background provides visual indication of "safe to trade" versus "halted" state. All visualization elements can be toggled on/off from the inputs for clean chart viewing or full telemetry during parameter tuning. Alerts and Automation The strategy supports alert integration with two formats: Standard alerts: Human-readable messages for long, short, and risk-halt conditions Webhook format: JSON-formatted payloads ready for external execution systems (optional) Alert messages are predictable and unambiguous, suitable for manual review or automated forwarding to execution engines. Built-in Validation Suite The strategy includes an optional validation layer that can be enabled from inputs. It checks: Internal consistency of structure and confluence metrics Sanity and ordering of risk parameters Position sizing compliance with user-defined floors and caps This validation is optional and not required for trading, but provides transparency into system operation during development or troubleshooting. Strategy Parameters Market Presets: Configuration Preset: Choose between Crypto (BTC/ETH), Forex Majors, Indices (SPY/QQQ), or Custom Market Structure Architecture: Pivot Length: Default 5 bars Filter by Inducement (IDM): Default enabled Visualize Structure: Default enabled Structure Lookback: Default 50 bars Risk & Capital Preservation: Risk:Reward Ratio: Default 2.0 ATR Period: Default 14 ATR Multiplier (Stop): Default 2.0 Max Drawdown Circuit Breaker: Default 10% Risk per Trade (% Equity): Default 1.5% Daily Risk Limit: Default 6% Weekly Risk Limit: Default 12% Min Position Size (% Equity): Default 0.25% Max Position Size (% Equity): Default 5% Correlation Cooldown (bars): Default 3 Emergency Kill Switch: Default disabled Signal Confluence: RSI Length: Default 14 Trend EMA: Default 200 HTF Confirmation TF: Default Daily Allow Weekend Trading: Default enabled Minimum Confluence Score (0-8): Default 6 Backtesting Considerations When backtesting this strategy, consider the following: Commission: Default 0.05% (adjustable in strategy settings) Initial Capital: Default $100,000 (adjustable) Position Sizing: Uses percentage of equity (default 2% per trade) Timeframe: Optimized for 4-hour charts, though can be tested on other timeframes Results will vary significantly based on: Market conditions and volatility regimes Parameter settings, especially confluence threshold Risk limit configuration Symbol characteristics (crypto vs forex vs equities) Past performance does not guarantee future results. Win rate, profit factor, and other metrics should be evaluated in context of drawdown periods, trade frequency, and market conditions. How to Use This Strategy This is a framework that requires understanding and parameter tuning, not a one-size-fits-all solution. Recommended workflow: Start on 4-hour timeframe with default parameters and appropriate market preset Run backtests and study performance console metrics: focus on drawdown behavior, win rate, profit factor, and trade frequency Adjust confluence threshold to match your risk appetite—higher thresholds mean fewer but more selective trades Set realistic daily and weekly risk budgets appropriate for your account size and risk tolerance Consider ATR multiplier adjustments based on market volatility characteristics Only connect alerts or automation after thorough testing and parameter validation Treat this as a risk framework with an integrated entry engine, not merely an entry signal generator. The risk controls are as important as the trade signals. Strategy Limitations Designed for swing trading timeframes; may not perform optimally on very short timeframes Requires sufficient market structure to identify pivots; may struggle in choppy or low-volatility environments Crypto markets require different parameter tuning than traditional markets Risk limits may prevent entries during favorable setups if daily/weekly budgets are exhausted Correlation cooldown may delay entries that would otherwise be valid Backtesting results depend on data quality and may not reflect live trading with slippage Design Philosophy Many indicators tell you when price crossed a moving average or RSI left oversold. This strategy addresses questions institutional traders ask: Who is in control of the market right now? Is this move structurally significant or just noise? Do I want to add more risk given what I've already done today/week? If I'm wrong, exactly how painful can this be? The strategy provides disciplined, repeatable answers to these questions through systematic structure analysis, confluence filtering, and multi-layer risk management. Technical Implementation The strategy uses Pine Script v6 with: Custom types for structure, confluence, and risk state management Functional programming approach for reusable calculations State management through persistent variables Optional visual elements that can be toggled independently The code is open-source and can be modified to suit individual needs. All important logic is visible in the source code. Disclaimer This script is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation. Trading involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by historical tests of strategies, is not indicative of future results. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested results and actual results subsequently achieved by any particular trading strategy. The user should be aware of the risks involved in trading and should trade only with risk capital. The authors and publishers of this script are not responsible for any losses or damages, including without limitation, any loss of profit, which may arise directly or indirectly from use of or reliance on this script. This strategy uses technical analysis methods and indicators that are not guaranteed to be accurate or profitable. Market conditions change, and strategies that worked in the past may not work in the future. Users should thoroughly test any strategy in a paper trading environment before risking real capital. Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, and other factors not captured in backtesting. The user assumes full responsibility for all trading decisions made using this script. Always consult with a qualified financial advisor before making investment decisions. Enjoy - officialjackofalltrades
Pine Script® strategy
by officialjackofalltrades
EAOverview The provided Pine Script code implements a technical analysis indicator known as the UT Bot Alerts. It is a volatility-based trend-following system designed to generate Buy and Sell signals. It uses the Average True Range (ATR) to calculate a dynamic trailing stop line, which helps identify trend reversals. Key Components & Logic 1. Inputs (User Settings): • Key Value (a): A sensitivity multiplier. A lower value makes the signals more frequent (sensitive), while a higher value filters out noise (less sensitive). • ATR Period (c): The timeframe used to calculate the Average True Range (volatility). Default is 10. • Heikin Ashi (h): A boolean switch (True/False) that allows calculations to be based on Heikin Ashi candles (smoother price action) instead of standard candlesticks. 2. Core Mechanism (ATR Trailing Stop): • The script calculates an ATR Trailing Stop (xATRTrailingStop). • Uptrend: If the price is rising, the stop line moves up but never moves down, acting as dynamic support. • Downtrend: If the price is falling, the stop line moves down but never moves up, acting as dynamic resistance. 3. Signal Generation: • Buy Signal: Generated when the price (specifically a 1-period EMA) crosses above the Trailing Stop line. This indicates a shift to an uptrend. • Sell Signal: Generated when the price crosses below the Trailing Stop line. This indicates a shift to a downtrend. 4. Visuals & Alerts: • Labels: It plots "Buy" (Green) and "Sell" (Red) labels on the chart at the point of the signal. • Bar Colors: It colors the candlesticks Green during an uptrend and Red during a downtrend. • Alerts: It creates alert conditions (UT Long and UT Short) that can be hooked into TradingView's alarm system for real-time notifications. Summary In short, this script is a Trend Reversal Indicator. It helps traders stay in a trade as long as the price remains on the correct side of the volatility-adjusted trailing stop, and it alerts them immediately when the trend direction changes.
Pine Script® indicator
by ergulcanakinciogluu
Early Trend Warning Using MTF AnalysisAs an active trader and software professional, I build my own indicators. I built this one today which I want to share with fellow traders. If you are a trend trader then HTF/MTF analysis is very critical. It is virtually impossible to constantly track multiple tickers all the time. One should not take a buy trade when MTF is bearish and vice versa. This indicator solves this problem. The EMA Trend Warning indicator helps traders detect potential trend changes early by analyzing price interactions with multi-timeframe Exponential Moving Averages (EMAs) and their momentum. It sends instant alerts when price crosses above or below EMAs with supporting momentum, making it easier to capture bullish or bearish moves. The EMA Trend Warning indicator detects potential trend changes by monitoring price against 14-period EMAs on multiple timeframes: 15-minute, 30-minute, and 1-hour charts. It sends alerts when the price crosses above or below the EMA with supporting momentum, helping traders identify early bullish or bearish signals. How It Works: 1. Calculates 14-period EMA on 15m, 30m, and 1H charts. 2. Computes EMA slopes to determine momentum direction. 3. BUY alert triggers when price crosses above the 15m EMA and at least one EMA slope is upward. 4. SELL alert triggers when price crosses below the 15m EMA and at least one EMA slope is downward. 5. Alerts fire once per bar and track previous state to avoid repeated notifications. Features: 1. Multi-timeframe EMA monitoring. 2. Momentum confirmation with EMA slopes. 3. Instant BUY/SELL alerts. 4. Tracks previous trend state to prevent alert spam. Benefits: 1. Detects trend changes early for better entry timing. 2. Confirms trend across multiple timeframes. 3. Saves time with automated alerts. 4. Helps traders align trades with market momentum. Please consider this indicator as EARLY WARNING ONLY. Take trade based on multiple confluences post receiving any warning. I have tested it on BTCUSD since yesterday, multiple warning alerts were 100% perfect.
Pine Script® indicator
by arupnj2018
Multi-Fractal Trading Plan [Gemini] v22Multi-Fractal Trading Plan The Multi-Fractal Trading Plan is a quantitative market structure engine designed to filter noise and generate actionable daily strategies. Unlike standard auto-trendline indicators that clutter charts with irrelevant data, this system utilizes Fractal Geometry to categorize market liquidity into three institutional layers: Minor (Intraday), Medium (Swing), and Major (Institutional). This tool functions as a Strategic Advisor, not just a drawing tool. It calculates the delta between price and structural pivots in real-time, alerting you when price enters high-probability "Hot Zones" and generating a live trading plan on your dashboard. Core Features 1. Three-Tier Fractal Engine The algorithm tracks 15 distinct fractal lengths simultaneously, aggregating them into a clean hierarchy: Minor Structure (Thin Lines): Captures high-frequency volatility for scalping. Medium Structure (Medium Lines): Identifies significant swing points and intermediate targets. Major Structure (Thick Lines): Maps the "Institutional" defense lines where trend reversals and major breakouts occur. 2. The Strategic Dashboard A dynamic data panel in the bottom-right eliminates analysis paralysis: Floor & Ceiling Targets: Displays the precise price levels of the nearest Support and Resistance. AI Logic Output: The script analyzes market conditions to generate a specific command, such as "WATCH FOR BREAKOUT", "Near Lows (Look Long?)", or "WAIT (No Setup)". 3. "Hot Zone" Detection Never miss a critical test of structure. Dynamic Alerting: When price trades within 1% (adjustable) of a Major Trend Line, the indicator’s labels turn Bright Yellow and flash a warning (e.g., "⚠️ WATCH: MAJOR RES"). Focus: This visual cue highlights the exact moment execution is required, reducing screen fatigue. 4. The Quant Web & Markers Pivot Validation: Deep blue fractal markers (▲/▼) identify the exact candles responsible for the structure. Inter-Timeframe Web: Faint dotted lines connect Minor pivots directly to Major pivots, visualizing the "hidden" elasticity between short-term noise and long-term trend anchors. 5. Enterprise Stability Engine Engineered to solve the "Vertical Line" and "1970 Epoch" glitches common in Pine Script trend indicators. This engine is optimized for Futures (NQ/ES), Forex, and Crypto, ensuring stability across all timeframes (including gaps on ETH/RTH charts). Operational Guide Consult the Dashboard: Before executing, check the "Strategy" output. If it says "WAIT", the market is in chop. If it says "WATCH FOR BOUNCE", prepare your entry criteria. Monitor Hot Zones: A Yellow Label indicates price is testing a major liquidity level. This is your signal to watch for a rejection wick or a high-volume breakout. Utilize the Web: Use the faint web lines to find "confluence" where a short-term pullback aligns with a long-term trend line. Configuration Show History: Toggles "Ghost Lines" (Blue) to display historical structure and broken trends. Fractal Points: Toggles the geometric pivot markers. Hot Zone %: Adjusts the sensitivity of the Yellow Warning system (Default: 1%). Max Line Length: A noise filter that removes stale or "spiderweb" lines that are no longer statistically relevant.
Pine Script® indicator
by CustomQuantLabs
cd_VW_Cx IMPROVED - Quant VWAP System: Regime, Magnets & Z-ScoQuant VWAP System: Regime, Magnets & Z-Score Matrix This indicator is a comprehensive Quantitative Trading System designed to move beyond simple support and resistance. Instead of static lines, it uses Statistical Probability (Z-Score) and Standard Deviation to define the current market regime, identify institutional value zones, and project high-probability liquidity targets. It is engineered for Day Traders and Scalpers (Crypto & Futures) who need to know if the market is Trending, Ranging, or preparing for a Breakout. 1. The "Regime" System (Standard Deviation Bands) The core engine anchors a VWAP (Volume Weighted Average Price) to your chosen timeframe (Daily, Weekly, or Monthly) and projects volatility bands based on market variance. The Trend Zone (Inner Band / 1.0 SD): This is the "Fair Value" zone. In a healthy trend, price will pull back into this zone and hold. A hold here signals a high-probability continuation (Trend Following). The Reversion Zone (Outer Band / 2.0 SD): This represents a statistical extreme. Price rarely sustains movement beyond 2 Standard Deviations without a reversion. A touch of this band signals "Overbought" or "Oversold" conditions. 2. Liquidity Magnets (Virgin VWAPs) The script automatically tracks "Unvisited VWAPs" from previous sessions. These are price levels where significant volume occurred but have not yet been re-tested. The Logic: Algorithms often target these "open loops." The script visualizes them as Blue Dashed Lines with price tags. Smart Scaling (Anti-Scrunch): Includes a custom "Ghost Engine" that automatically hides or "ghosts" magnets that are too far away. This prevents your chart from being squashed (scrunched) on lower timeframes, keeping your candles perfectly readable while still tracking targets in the background. 3. The Quant Matrix (Dashboard) A real-time Heads-Up Display (HUD) that interprets the data for you: Regime: Detects Volatility Squeezes. If the bands compress, it signals "⚠ SQUEEZE", warning you to stop mean-reversion trading and prepare for an explosive breakout. Bias: Color-coded Trend Direction (Bullish/Bearish) based on VWAP slope. Signal: actionable text prompts such as "BUY DIP" (Trend Following), "FADE EXT" (Mean Reversion), or "PREP BREAK" (Squeeze). 4. Visual Intelligence Bold Day Separators: Clear, vertical dotted dividers with Date Stamps to instantly separate trading sessions. Dynamic Labels: Floating labels on the right axis identify exactly which deviation level is which, preventing chart confusion. How to Use Strategy A: The Trend Pullback (continuation) Check Matrix: Ensure Bias is BULLISH (Green). Wait: Allow price to pull back into the Inner Band (Dark Green Zone). Trigger: If price holds the Center VWAP or the -1.0 SD line, enter Long. Target: The next Liquidity Magnet above or the +2.0 SD band. Strategy B: The Reversion Fade (Counter-Trend) Check Matrix: Ensure price is labeled "EXTREME" or Signal says "FADE EXT". Trigger: Price touches or pierces the Outer Band (2.0 SD). Action: Enter counter-trend (Short) with a target back to the Center VWAP (Mean Reversion). Strategy C: The Magnet Target Identify a "MAGNET" line (Blue Dashed) near current price. These act as high-probability Take Profit levels. Price will often rush to these levels to "close the loop" before reversing. Settings Anchor: Daily (default), Weekly, or Monthly. Magnet Focus Range: Adjusts how aggressively the script hides distant magnets to fix chart scaling (Default: 2%). Visuals: Fully customizable colors, label sizes, and dashboard position.
Pine Script® indicator
by CustomQuantLabs
1
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes: Location of each datapoint in corresponding fields (price, time, volume) Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations Innovation in state space (in our case = volatility) The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool. As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD ... Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away. Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting. Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...). Signal weights: encode actuality/importance/relevance of datapoints. Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way! Signal = information. The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time. First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time. Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion. The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page. Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that. When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it. ^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script . Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility. Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns. Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments. Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else. ... It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request. ... ∞
Pine Script® indicator
by gorx1
TRS (Trend Readiness System)TRS – Trend Readiness System TRS (Trend Readiness System) is a trend-aligned trading framework designed to help you identify stocks that are becoming ready for entry , not just those already breaking out. Instead of producing noisy buy/sell signals, TRS evaluates trend quality, pullback structure, momentum rebuilding, and market context , and converts them into clear scores, states, and timing awareness — both on the chart and inside the TradingView Screener. --- Core Philosophy Strong trends don’t start at the breakout — they start when conditions quietly align. TRS focuses on: • Primary trend alignment • Healthy pullbacks above long-term support • Early momentum recovery • Market regime confirmation • Entry timing (fresh vs late) --- What TRS Measures 1. Setup Score (Trend Quality) Answers the question: “Is this stock structurally worth watching?” Based on: • Price position relative to MA150 • Long-term trend direction • Higher-low structure • Distance from MA150 (overextension control) • Market regime (bullish / bearish) --- 2. Entry Score (Timing Quality) Answers the question: “Is the timing right — or still early?” Based on: • Short and mid-term moving averages • Pullback behavior • Momentum stabilization • Volume confirmation --- 3. General Score A combined readiness score used for ranking in the TradingView Screener: General Score = Setup Score + Entry Score --- Entry State Tracking (Key Feature) TRS tracks the full entry lifecycle , not just signals: • Valid Entry • Pending Entry (almost ready) • Bars Since Valid Entry • Entry Window (Fresh / Expired) • Entry Still Valid (Yes / No) This helps avoid chasing late or already-played setups. --- Market Regime Filter Signals automatically adapt to overall market conditions: • Market trend confirmation (e.g. SPY / QQQ) • Reduced false signals during weak markets • Clear explanation when setups are blocked --- Visual Dashboard (Optional) The on-chart dashboard can display: • General Score • Market state • Setup quality • Entry status • Entry window • Bars since entry • Blocking reason (if any) You can switch between: • Minimal mode – essential info only • Full table mode – detailed diagnostics --- Screener Integration TRS exposes clean numeric outputs for the TradingView Pine Screener: • Setup Score • Entry Score • General Score • Pending Entry (1 / 0) • Valid Entry (1 / 0) • Bars Since Valid Entry • Market Bullish (1 / 0) Example Screener Filters: • Setup Score ≥ 50 • Pending Entry = 1 • Bars Since Valid Entry ≤ 3 • Market Bullish = 1 --- How to Use TRS (Daily Routine) Step 1 – Scan • Look for high Setup Score • Prefer Pending Entry = 1 Step 2 – Review • Confirm pullback quality • Check MA150 support • Observe momentum rebuilding Step 3 – Act • Enter only on Valid Entry • Avoid expired entry windows • Skip setups blocked by market regime --- What TRS Is NOT • Not a breakout chaser • Not a day-trading system • Not signal spam TRS is a decision-support system for swing and position traders who value structure, context, and timing. --- Best Used On • Daily timeframe (1D) • Liquid stocks & ETFs • Trend-following strategies • Portfolio-level screening ---
Pine Script® indicator
by mike_penzin
EMA and Dow Theory Strategies V2📘 Overview This strategy is an advanced evolution of the original EMA × Dow Theory hybrid model. V2 introduces true swing‑based trend detection, gradient trend‑zones, higher‑timeframe swing overlays, and dynamic exit logic designed for intraday to short‑term trading across crypto, forex, stocks, and indices. The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance. 🧠 Key Features 🔹 1. Dual‑EMA Trend Logic (Symbol + External Index) Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias. 🔹 2. Dow Theory Swing Detection (Real‑time) The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone. 🔹 3. Gradient Trend Zones (Visual Trend Strength) When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive. 🔹 4. Higher‑Timeframe Swing Trend (htfTrend) Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries. 🔹 5. RSI‑Based Entry Protection RSI prevents entries during extreme overbought/oversold conditions. 🔹 6. Dynamic Exit System Includes: Custom stop‑loss (%) Partial take‑profit (TP1/TP2/TP3) Automatic scale‑out when trend color weakens “Color‑change lockout” to prevent immediate re‑entry Real‑time PnL tracking and labels 🔹 7. Alerts for All Key Events Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts. 🔹 8. Visual PnL Labels & Equity Tracking PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments. ⚙️ Input Parameters Parameter Description Fast EMA / Slow EMA EMAs used for symbol trend detection Index Fast / Slow EMA EMAs applied to external index StopLoss (%) Custom stop‑loss threshold Scale‑Out % Portion to exit when trend color weakens RSI Period / Levels Overbought/oversold filters Swing Detection Length Bars used to detect swing highs/lows Stats Display Position of statistics table 🧭 About htfTrend (Higher Timeframe Trend) The higher‑timeframe swing trend is displayed visually but not used for entry logic. Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness. Use it as a contextual guide, not a constraint. 📘 概要 本ストラテジーは、V1 を大幅に拡張した EMA × ダウ理論 × スイング構造 × 上位足トレンド可視化 の複合型モデルです。 短期〜デイトレード向けに最適化されており、仮想通貨・FX・株式・指数など幅広いアセットで利用できます。 V2 では、スイング構造の自動検出、グラデーションによるトレンド強度の可視化、上位足スイングライン、動的な利確/損切りロジック が追加され、視覚的にもロジック的にも大幅に強化されています。 🧠 主な機能 🔹 1. 銘柄＋外部インデックスの EMA クロス判定 対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。 🔹 2. ダウ理論に基づくスイング高値・安値の自動検出 スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。 🔹 3. グラデーション背景によるトレンド強度の可視化 スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。 🔹 4. 上位足スイングトレンド（htfTrend）の表示 4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます（ロジックには未使用）。 🔹 5. RSI による過熱・売られすぎフィルター 極端な RSI 状態でのエントリーを防止。 🔹 6. 動的イグジットシステム カスタム損切り（％） TP1/TP2/TP3 の段階的利確 トレンド色の弱まりによる自動スケールアウト 色変化後の再エントリー制限（waitForColorChange） リアルタイム PnL の追跡とラベル表示 🔹 7. アラート完備（JSON 形式） エントリー、損切り、部分利確、トレンド反転などすべてに対応。 🔹 8. 損益ラベル・統計表示 直近トレードの損益をチャート上に表示し、視覚的に把握できます。 ⚙️ 設定項目 設定項目名 説明 Fast / Slow EMA 銘柄の EMA 設定 Index Fast / Slow EMA 外部インデックスの EMA 設定 損切り（％） カスタム損切りライン 部分利確割合 トレンド弱化時のスケールアウト割合 RSI 期間・水準 過熱/売られすぎフィルター スイング検出期間 スイング高値・安値の検出に使用 統計表示位置 テーブルの表示位置 🧭 上位足トレンド（htfTrend）について 上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。 理由： 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。 本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。 → 裁量で利確判断や逆張り回避に活用できます。
Pine Script® strategy
by mm_mitsuya
Witch-Fire ALMA signals: Dynamic Liquidity & Trend GlowThe Witch-Fire ALMA is a high-precision trend bias and liquidity mapping tool designed for price action traders and Smart Money practitioners. Unlike traditional indicators that clutter your chart with lagging signals, this script provides a "clean-yet-powerful" visual anchor to help you stay on the right side of the market while identifying key Points of Interest (POIs). At its core, the script utilizes an optimized Arnaud Legoux Moving Average (ALMA). Known for its superior ability to balance smoothness and responsiveness, the ALMA effectively filters out market noise and "whipsaws" that often plague standard EMAs. Key Features: The Witch-Fire Glow: A neon-styled ALMA line that shifts between Bullish Green and Bearish Red. The white core provides surgical precision for price intersection, while the outer glow visualizes the strength and dominance of the current trend. Scaled Liquidity Levels: Automatically maps Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL). These levels are dynamic—they scale proportionally with your ALMA settings. This ensures that the liquidity zones you see are always relevant to the trend cycle you are analyzing. Strategic Bias Background: A subtle background tint provides an instant psychological filter. Only look for Longs in the green zone and Shorts in the red zone to maintain a high-probability strike rate. How to Trade with Witch-Fire: Identify the Bias: Look at the Fire ALMA. If the "fire" is red and the price is below the line, your bias is strictly bearish. Watch the Sweeps: Wait for the price to "sweep" (pierce with a wick) the horizontal SSL (Green) or BSL (Red) lines. Execution: Look for a strong rejection candle (long wick, small body) at these levels that closes back towards the ALMA line. Best Used On: 15m, 1H, and 4H timeframes. Works exceptionally well for Crypto, Forex, and Indices.
Pine Script® indicator
by CryptoWitch_NL
Shock Wave: EMA9 Slope / ATR (Normalized) for SPYShock Wave – EMA9 Slope Normalized by ATR (Fragility Gauge) This indicator measures trend fragility, not direction. Instead of relying on visual trendline angles (which change with zoom and chart scaling), this tool normalizes the slope of the 9-EMA by ATR, producing a scale-independent steepness metric that remains consistent across timeframes and zoom levels. The goal is to identify late-stage acceleration and liquidity vulnerability — conditions where price is advancing faster than inventory can rebalance and the market becomes sensitive to forced liquidation. What this indicator shows Normalized EMA9 slope (ATR per bar) An angle-like degree value derived from the normalized slope (for intuition only) Background shading to highlight trend maturity / fragility A compact table showing live readings on the chart How to interpret Green / low values (< ~0.30 ATR/bar): Healthy, sustainable trend Orange / mid values (~0.30–0.40 ATR/bar): Late-stage acceleration Red / high values (≥ ~0.45 ATR/bar): Fragile / liquidation-prone conditions These thresholds are empirically derived from historical index behavior (e.g., SPY prior to 2018, 2020, 2022 volatility events). Important notes This is not a buy or sell signal Red does not mean “short” The indicator highlights risk asymmetry, not timing Best used on higher timeframes (weekly) in conjunction with liquidity, inducement, and higher-timeframe structure analysis Why use this Markets often fail after strong trends, not because they are weak, but because they are crowded. This tool helps quantify when a trend has become structurally vulnerable, providing context for liquidity-based frameworks and macro risk management.
Pine Script® indicator
by virgalwilliams
Dynamic EMA Trend Table [Customizable]Overview The Dynamic EMA Trend Table is a comprehensive dashboard designed to give traders an instant overview of the market trend across five distinct Exponential Moving Averages (EMAs). Instead of cluttering your chart with multiple lines, this script organizes the data into a clean, customizable table, allowing you to assess trend alignment at a glance. How It Works This indicator calculates five user-defined EMAs (defaulting to the popular 5, 20, 50, 100, and 200 periods). It then compares the Current Price against each EMA value to determine the immediate trend status: Bullish State: When the current price is above the specific EMA, the table cell turns Green (customizable). Bearish State: When the current price is below the specific EMA, the table cell turns Red (customizable). This logic allows swing traders and scalpers to instantly see if the asset is in a strong uptrend (all cells Green), a strong downtrend (all cells Red), or a consolidation phase (mixed colors). Key Features Fully Customizable Periods: Change the length of all 5 EMAs to fit your specific strategy (e.g., Fibonacci numbers or standard Swing Trading settings). Dynamic UI: Position the table anywhere on the screen (Top/Bottom/Left/Right) and adjust the size to fit your screen resolution. Visual Cleanliness: You can choose to show the table only, or toggle the "Show EMAs on Chart" option to plot the actual lines on your chart. Smart Coloring: The lines on the chart (if enabled) inherit the same color logic as the table—turning Green when price is above them and Red when price is below. Settings & Configuration Price Source: Select Close, High, Low, etc. (Default is Close). Table Position & Size: Customize where the dashboard appears. EMA Lengths: Set your 5 preferred lookback periods. Color Theme: Fully adjustable colors for Bullish, Bearish, Neutral, and Background elements to match your chart theme (Dark/Light mode friendly). Use Case Example Trend Confirmation: A trader looking for a "Buy" entry might wait for the short-term EMAs (5 and 20) and the medium-term EMA (50) to all turn Green in the table before entering. Support/Resistance Watch: By quickly glancing at the values in the table, you can see exactly where the 200 EMA sits without needing to scroll back on your chart to find the line.
Pine Script® indicator
by ungalisetup
Cantillon Clean Moving Averages [Free]Overview Standard Moving Averages are static. The Cantillon Clean MA is dynamic. It automatically changes color based on price interaction, giving you an instant visual read on the trend health of the Short (20), Medium (50), and Long (200) term flows. Features Dynamic Coloring: Green when Bullish, Red when Bearish. Smart Weighting: Uses Exponential Moving Averages (EMA) to react faster than standard SMAs. Crossover Signals: Subtle "X" markers when the short-term trend flips. Want the Real Institutional Trend? Moving averages lag. To track the True Institutional Cost Basis (Anchored VWAP) and statistical reversal points, you need the Cantillon Terminal .
Pine Script® indicator
by TheHeikinAshitrader
Trend Consensus Engine [TCE]The Trend Consensus Engine (TCE) is a comprehensive market analysis system designed to filter out noise and provide a quantifiable "Trend Score" (0-100). Instead of relying on a single indicator, this script aggregates data from multiple market factors—volatility, momentum, and trend structure—to generate high-probability entry signals based on a consensus logic. This tool is particularly optimized for Crypto (with specific time-gated logic) and BIST (Borsa Istanbul) markets, allowing traders to see the overall health of the trend at a glance via a dashboard. How It Works The engine calculates a composite "Total Score" (0-100) derived from four weighted components: Trend Structure (AlphaTrend & Guppy): Analyzes the slope and position relative to the AlphaTrend (Credit to @KivancOzbilgic) and Guppy Multiple Moving Averages (GMMA). Positive slopes and price action above key levels add points to the score. Volatility & Momentum (Squeeze & ADX): Incorporates the Squeeze Momentum logic (Credit to @LazyBear) to detect explosive moves. ADX Filter: Filters out chopping/ranging markets. If the ADX is too low, the score is penalized or the signal is blocked. Dynamic Resistance (MA Channels): Uses a combination of Donchian Mid-Lines and SMAs to determine if the price is in a "safe zone" or hitting resistance. Price Action Filters (Pinbar Veto): Automatically detects bearish "Shooting Star" or weak candles at highs. If a bearish pinbar is detected, the entry signal is vetoed regardless of the trend score. Features & Settings Smart Scoring Dashboard: Displays the realtime Score, Instant Decision, and confirmed Close Decision on the chart. Market Profiles: Crypto Mode: Includes a "Time Gate" feature (07:00 UTC+3 check) to prevent fakeouts during low-liquidity hours. BIST Mode: Optimized parameters for the Turkish stock market logic (14:00 session checks). Score Threshold: Users can adjust the minimum score required (Default: 70) to trigger a "BUY" signal. Visual Guidance: The background of the dashboard changes color (Green/Red/Yellow) based on the consensus. How to Use Check the Dashboard: Look at the "SONUÇ" (Result) row. GİRİŞ ✅ (ENTRY): The Score is above 70, Momentum is positive, and no Bearish Pinbars are present. BEKLE ⏳ (WAIT): The trend is weak, or a filter (like ADX or Squeeze) is blocking the trade. Confirm with Price Action: Use the AlphaTrend lines (Blue/Red) as dynamic support/stop-loss levels. Credits: AlphaTrend by KivancOzbilgic Squeeze Momentum Indicator by LazyBear VuManChu Cipher concepts for inspiration. Custom Logic: Scoring algorithm and Time-Gating mechanisms are original custom developments. Disclaimer: This tool is for educational purposes only and does not constitute financial advice.
Pine Script® indicator
by scofield89
SB A / A++ ALERT ENGINE (Alerts Only)SB A / A++ Alert Engine Session-Based Level Rejection Strategy (Automation-Ready) Overview The SB A / A++ Alert Engine is a rules-based TradingView indicator designed to identify high-probability institutional-style reversal trades using Stacey Burke–inspired concepts such as previous day levels, session structure, opening ranges, and round numbers. This tool is alerts-only by design, making it ideal for: TradingView alerts Webhook automation Telegram / Discord signal delivery External trade execution systems It does not repaint and evaluates signals on confirmed bar close only. --- Core Trading Idea Price frequently reacts at important reference levels during active trading sessions. This script looks for rejection + confirmation at those levels and grades setups based on confluence and candle quality. Only A-grade and A++-grade setups are alerted. --- What the Script Detects 📌 Key Levels (Confluence Engine) Previous Day High / Low Initial Balance (Mon–Tue range, active Wed–Fri) Session Opening Range (first hour of London / NY) Round Numbers (configurable tick spacing) Each level touched contributes to confluence — without double-counting the same zone. --- 🕒 Session Control Signals are only allowed during: London Session New York Session Includes: Session resets Max alerts per session Cooldown between signals --- 🔎 Candle Confirmation Valid signals require clear rejection behavior, such as: Bullish / Bearish Engulfing candle Strong Pin Bar (wick ≥ 2× body) --- 🧠 Trade Grades A Trade Valid session ATR percentile filter passed ≥ 1 level of confluence Directional rejection A++ Trade All A-Trade rules Strong confirmation candle (engulf or pin) ≥ 2 independent confluence zones Grades are displayed visually and included in alert payloads. --- 📊 Volatility Filter (ATR Percentile) Instead of fixed ATR thresholds, the script uses an ATR percentile rank, ensuring trades only trigger when volatility is above normal for that market. This adapts automatically across: Forex Indices Futures Crypto --- Visual Output ▲ Green / Lime triangles → LONG (A / A++) ▼ Orange / Red triangles → SHORT (A / A++) Color intensity reflects trade grade Optional session shading (if enabled) --- Alerts & Automation All alerts are webhook-ready and structured for automation. Each alert includes: Symbol Timeframe Direction (LONG / SHORT) Trade grade (A or A++) Confluence count Entry price (close of signal bar) Designed to integrate with: Telegram bots Trade execution bridges Risk management engines --- What This Script Is (and Is Not) ✅ IS A high-quality signal engine Non-repainting Automation-friendly Institutional level-based logic ❌ IS NOT A scalping indicator A prediction tool A “trade every candle” system This tool favors patience, structure, and quality over frequency. --- Recommended Usage Timeframes: M5 – M15 Best markets: FX majors, indices, liquid crypto Combine with your own execution, risk, and trade management rules --- ⚠️ Disclaimer This script is for educational and informational purposes only. It does not constitute financial advice. Always test on demo or paper trading before using live capital.
Pine Script® indicator
by Accrue
Trinity Swing Trading Buy and SellThis is a simple little Heiken Ashi MA + ADX & MACD trend-following trading system designed to capture medium- to longer-term moves while filtering out noise and weak trends. It combines modified Heiken Ashi candles (for smoother trend detection) with a moving average alignment, plus optional confirmation from ADX (trend strength) and MACD (momentum). In practice, the indicator works well on higher timeframes (e.g., 1H, 4H, daily) where trends are more sustained. It performs best in trending markets and naturally avoids choppy/range-bound conditions thanks to the ADX filter (requiring ADX > 20 by default). All key components are fully customizable, so you can disable filters or adjust parameters to suit different instruments (stocks, forex, crypto, futures). Default settings are: 16 HMA 8,17,9 MACD 15,20 ADX Recommend to add an additional longer term EMA like 200 for long term trend confirmation. Adjust inputs in the settings panel as needed: Toggle MA, ADX, or MACD filters on/off. Change MA type/length, MACD parameters, ADX threshold - Use the visual blue diamonds (below bars) for long entries and purple diamonds (above bars) for short entries as confirmation of signals. - Set alerts on the "Buy Alert" and "Sell Alert" conditions if you want real-time notifications. This setup gives you a complete, rule-based system that avoids emotional trading and repetitive entries, making it suitable for both backtesting and live trading with proper risk management.
Pine Script® indicator
by EMA34TRADER
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy This Pine Script v6 strategy is designed for cryptocurrency markets operating on 5-minute and faster timeframes. It combines volatility regime detection, multi-path signal confirmation, and adaptive risk management to identify momentum-based trading opportunities in perpetual futures markets. Core Design Principles The strategy addresses three challenges specific to cryptocurrency trading: 24/7 market operation without session boundaries requires continuous monitoring and execution logic Volatility regimes shift rapidly, demanding adaptive stop and target calculations Tick-level responsiveness is critical for capturing momentum moves before they complete Strategy Architecture 1. Signal Generation Stack The strategy uses multiple technical indicators calibrated for cryptocurrency momentum: MACD with parameters 8/21/5 (fast/slow/signal) optimized for crypto acceleration phases EMA ribbon using 8/21/34 periods with slope analysis to assess trend structure Volume impulse detection combining SMA baseline, standard deviation, and z-score filtering RSI (21 period) and MFI (21 period) for momentum confirmation Bollinger Bands and Keltner Channels for squeeze detection 2. Volatility Regime Classification The strategy normalizes ATR as a percentage of price and classifies market conditions into three regimes: Compression (< 0.8% ATR): Reduced position sizing, tighter stops (1.05x ATR), lower profit targets (1.6x ATR) Expansion (0.8% - 1.6% ATR): Standard risk parameters, balanced risk-reward (1.55x stop, 2.05x target) Velocity (> 1.6% ATR): Wider stops (2.1x ATR), amplified targets (2.8x ATR), tighter trailing offsets ATR is calculated over 21 periods and smoothed with a 13-period EMA to reduce noise from wicks. 3. Multi-Path Entry System Four independent signal pathways contribute to a composite strength score (0-100): Trend Break (30 points): Requires EMA ribbon alignment, positive slope, and structure breakout above/below recent highs/lows Momentum Surge (30 points): MACD histogram exceeds adaptive baseline, MACD line crosses signal, RSI/MFI above/below thresholds, with volume impulse confirmation Squeeze Release (25 points): Bollinger Bands compress inside Keltner Channels, then release with momentum bias Micro Pullback (15 points): Shallow retracements within trend structure that reset without breaking support/resistance Additional scoring modifiers: Volume impulse: +5 points when present, -5 when absent Regime bonus: +5 in velocity, -2 in compression Cycle bias: +5 when aligned, -5 when counter-trend Trades only execute when the composite score reaches the minimum threshold (default: 55) and all filters agree. 4. Risk Management Framework Position sizing is calculated from: RiskCapital = Equity × (riskPerTradePct / 100) StopDistance = ATR × StopMultiplier(regime) Quantity = min(RiskCapital / StopDistance, MaxExposure / Price) The strategy includes: Risk per trade: 0.65% of equity (configurable) Maximum exposure: 12% of equity (configurable) Regime-adaptive stop and target multipliers Adaptive trailing stops based on ATR and regime Kill switch that disables new entries after 6.5% drawdown Momentum fail-safe exits when MACD polarity flips or ribbon structure breaks 5. Additional Filters Cycle Oscillator : Measures price deviation from 55-period EMA. Requires cycle bias alignment (default: ±0.15%) before entry BTC Dominance Filter : Optional filter using CRYPTOCAP:BTC.D to reduce long entries during risk-off periods (rising dominance) and short entries during risk-on periods Session Filter : Optional time-based restriction (disabled by default for 24/7 operation) Strategy Parameters All default values used in backtesting: Core Controls Enable Short Structure: true Restrict to Session Window: false Execution Session: 0000-2359:1234567 (24/7) Allow Same-Bar Re-Entry: true Optimization Constants MACD Fast Length: 8 MACD Slow Length: 21 MACD Signal Length: 5 EMA Fast: 8 EMA Mid: 21 EMA Slow: 34 EMA Slope Lookback: 8 Structure Break Window: 9 Regime Intelligence ATR Length: 21 Volatility Soothing: 13 Low Vol Regime Threshold: 0.8% ATR High Vol Regime Threshold: 1.6% ATR Cycle Bias Length: 55 Cycle Bias Threshold: 0.15% BTC Dominance Feed: CRYPTOCAP:BTC.D BTC Dominance Confirmation: true Signal Pathways Volume Baseline Length: 34 Volume Impulse Multiplier: 1.15 Volume Z-Score Threshold: 0.5 MACD Histogram Smoothing: 5 MACD Histogram Sensitivity: 1.15 RSI Length: 21 RSI Momentum Trigger: 55 MFI Length: 21 MFI Momentum Trigger: 55 Squeeze Length: 20 Bollinger Multiplier: 1.5 Keltner Multiplier: 1.8 Squeeze Release Momentum Gate: 1.0 Micro Pullback Depth: 7 Minimum Composite Signal Strength: 55 Risk Architecture Risk Allocation per Trade: 0.65% Max Exposure: 12% of Equity Base Risk/Reward Anchor: 1.8 Stop Multiplier • Low Regime: 1.05 Stop Multiplier • Medium Regime: 1.55 Stop Multiplier • High Regime: 2.1 Take Profit Multiplier • Low Regime: 1.6 Take Profit Multiplier • Medium Regime: 2.05 Take Profit Multiplier • High Regime: 2.8 Adaptive Trailing Engine: true Trailing Offset Multiplier: 0.9 Quantity Granularity: 0.001 Kill Switch Drawdown: 6.5% Strategy Settings Initial Capital: $100,000 Commission: 0.04% (0.04 commission_value) Slippage: 1 tick Pyramiding: 1 (no position stacking) calc_on_every_tick: true calc_on_order_fills: true Visualization Features The strategy includes: EMA ribbon overlay (8/21/34) with customizable colors Regime-tinted background (compression: indigo, expansion: purple, velocity: magenta) Dynamic bar coloring based on signal strength divergence Signal labels for entry points On-chart dashboard displaying regime, ATR%, signal strength, position status, stops, targets, and risk metrics Recommended Usage Timeframes The strategy is optimized for 5-minute charts. It can operate on 3-minute and 1-minute timeframes for faster scalping, or 15-minute for swing confirmation. When using higher timeframes, consider: Increasing structure lookback windows Raising RSI trigger thresholds above 58 to filter noise Extending volume baseline length Markets Designed for high-liquidity cryptocurrency perpetual futures: BTC/USDT, BTC/USD perpetuals ETH perpetuals Major L1 tokens with sufficient volume For thinner order books, increase volume impulse multiplier and adjust quantity granularity to match exchange minimums. Limitations and Compromises Backtesting Considerations TradingView strategy backtesting does not replicate broker execution. Actual fills, slippage, and commissions may differ The strategy uses calc_on_every_tick=true and calc_on_order_fills=true to reduce bar-close distortions, but real execution still depends on broker infrastructure At least 200 historical bars are required to stabilize regime classification, volume baselines, and cycle context Market Structure Dependencies BTC dominance feed ( CRYPTOCAP:BTC.D ) may lag during low-liquidity periods or weekends. Consider disabling the filter if data quality degrades Volume impulse detection assumes consistent order book depth. During extreme volatility or exchange issues, volume signatures may be unreliable Regime classification based on ATR percentage assumes normal volatility distributions. During black swan events, regime thresholds may not adapt quickly enough Parameter Sensitivity Default parameters are tuned for BTC/ETH perpetuals on 5-minute charts. Different assets or timeframes require recalibration The composite signal strength threshold (55) balances selectivity vs. opportunity. Higher values reduce false signals but may miss valid setups Risk per trade (0.65%) and max exposure (12%) are conservative defaults. Aggressive scaling increases drawdown risk Execution Constraints Same-bar re-entry requires broker support for rapid order placement Quantity granularity must match exchange contract minimums Kill switch drawdown (6.5%) may trigger during normal volatility cycles, requiring manual reset Performance Expectations This strategy is a framework for momentum-based cryptocurrency trading. Performance depends on: Market conditions (trending vs. ranging) Exchange execution quality Parameter calibration for specific assets Risk management discipline Backtest results shown in publications reflect specific market conditions and parameter sets. Past performance does not indicate future results. Always forward test with paper trading or broker simulation before deploying live capital. Code Structure The strategy is organized into functional sections: Configuration groups for parameter organization Helper functions for position sizing and normalization Core indicator calculations (MACD, EMA, ATR, RSI, MFI, volume analytics) Regime classification logic Multi-path signal generation and composite scoring Entry/exit orchestration with risk management Visualization layer with dashboard and chart elements The source code is open and can be modified to suit your trading requirements. Everyone is encouraged to understand the logic before deploying and to test thoroughly in their target markets. Modification Guidelines When adapting this strategy: Document any parameter changes in your publication Test modifications across different market regimes Validate position sizing logic for your exchange's contract specifications Consider exchange-specific limitations (funding rates, liquidation mechanics, order types) Conclusion This strategy provides a structured approach to cryptocurrency momentum trading with regime awareness and adaptive risk controls. It is not a guaranteed profit system, but rather a framework that requires understanding, testing, and ongoing calibration to market conditions. You should thoroughly understand the logic, test extensively in their target markets, and manage risk appropriately. The strategy's effectiveness depends on proper parameter tuning, reliable execution infrastructure, and disciplined risk management. Disclaimer This script and its documentation are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading advice of any kind. Trading cryptocurrencies and derivatives involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by backtesting, does not guarantee future results. This strategy is provided "as is" without any warranties or guarantees of profitability You should not rely solely on this strategy for making trading decisions Always conduct your own research and analysis before making any financial decisions Consider consulting with a qualified financial advisor before engaging in trading activities The authors and contributors are not responsible for any losses incurred from using this strategy Cryptocurrency trading can result in the loss of your entire investment Only trade with capital you can afford to lose Use this strategy at your own risk. The responsibility for any trading decisions and their consequences lies entirely with you.
Pine Script® strategy
by officialjackofalltrades