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Triple EMA Trend TP Strategy (Filtered Entries + Dynamic Exit)Overview The Triple EMA Trend TP Strategy is a robust trend-following approach designed for clear, disciplined entries and exits. It leverages a triple EMA crossover for entry signals, combined with a long‑term SMA trend filter, a fixed take‑profit percentage, and a dynamic dual‑EMA exit mechanism to optimize performance and risk management. Key Features Triple EMA Crossover Entry Detects momentum shifts by waiting for the fast EMA to cross above the slow EMA, signaling bullish momentum buildup. Trend Filter (SMA) Ensures trades are only taken when price is above the long-term trend (SMA), filtering out low-probability setups. Take Profit (TP) Applies a customizable fixed TP, e.g., defaulting to 9.8%, allowing disciplined profit-taking. Dual EMA Exit Uses two EMAs on a separate exit logic—if the short exit EMA undercuts the mid exit EMA, the strategy closes the position. Adjustable Parameters All key lengths—including fast, mid, slow entry EMAs, trend SMA, exit EMAs, and TP percentage—are user-configurable to suit different assets and timeframes. Date Range Control Users can define a backtest window with start and end dates, preventing misleading performance outside intended periods. Flexible Position Management Supports full‑equity position sizing, pyramiding up to 10 entries, and runs every tick for high precision. Setup & Inputs fastLen: Entry Fast EMA midLen: Entry Mid EMA slowLen: Entry Slow EMA trendLen: Trend Filter SMA tpPercent: Take Profit Percentage exitFastLen: Exit Fast EMA exitMidLen: Exit Mid EMA startDate / endDate: Backtest time range Why This Strategy Stands Out This strategy marries classic trend-following principles with modern risk-control tactics, making it both intuitive and advanced. It balances aggressive entry signals with safety checks via trend validation and layered exit logic. The inclusion of a TP ensures profits are locked in, while the dual EMA exit adds adaptive flexibility to close positions when momentum fades. How to Use & Customize Configure Inputs Adjust EMAs, trend length, and TP percentage to fit your asset and timeframe. For example, shorter EMAs suit intraday trading; longer ones work well for swing strategies. Set Backtest Range Use the start/end date fields to limit your testing to the most relevant data, reducing noise from irrelevant market periods. Backtest & Optimize Review the Strategy Tester’s performance metrics—Equity curve, drawdown, profit factor, trade list—to assess effectiveness. Fine‑Tune Tweak TP, EMAs, or trend length to optimize drawdowns, win rate, or return profile.
אסטרטגיית Pine Script®
מאת ‎PPonBIN‎
1
Filter EMA200 (HTF) + Trigger HMA (with HTF)Trend Filter: EMA200 calculated on the 5-minute timeframe, plotted on the current chart. It acts as the main directional filter. Trigger: Hull Moving Average (HMA) with adjustable length and selectable source timeframe (default HMA24 on 1-minute). It provides faster entries and exits. Trading logic is simple: Only take long signals when price closes above both the filter EMA and the trigger HMA. Only take short signals when price closes below both lines. This combination helps reduce false breakouts while keeping entries fast and responsive.
אינדיקטור Pine Script®
מאת ‎ialansarii‎
AndrologQuartileAndrologQuartile This indicator is based on the assumption that if a candle closes in the upper or lower quartile of its range, the next candle often tends to take out the high or low of that candle. The script does two things: It calculates and displays live statistics on how often this condition occurs and how often it is successful. It highlights candles that meet the quartile condition so you can track them in real time. It is most meaningful to use this indicator on higher timeframes (from 1h upwards). You can also set an alert: once configured, the alert will always trigger for the timeframe that was active at the moment of setup. Usage tip: Click the statistics panel in the top right corner to adjust settings and alerts. Adjustable parameters: Quartiles: Default values are 25% and 75%. Min Distance: Defines how far the high/low must be from the candle’s close (in %) to be considered relevant. A smaller value is applied automatically on intraday timeframes under 5 minutes.
אינדיקטור Pine Script®
מאת ‎trueandrolog‎
NQ FVG + MSS ChecklistThe NQ FVG + MSS Quick Checklist is a visual trading HUD for Nasdaq 100 (NQ) futures. It helps traders quickly track key setup elements: session & previous day levels, 5M FVG, retests, 1M MSS, and 1M FVG inside MSS. Each step can be manually ticked, and a Trade Score shows setup strength at a glance. The checklist table sits on top of all chart elements for easy reference without interfering with your analysis. Features: Step-by-step NQ trading checklist Manual inputs with visual ✅/❌ Trade Score for quick setup confirmation Table overlay always on top of the chart
אינדיקטור Pine Script®
מאת ‎FXNotes‎
ZV-Resources by ZuperView.comLibrary "zuperview" ComputeMAValue(maType, series, period)   ComputeMAValue @description Computes the moving average (MA) value based on the specified MA type.   Parameters:      maType (string) : (string) The type of moving average: "EMA", "SMA", "RMA", "WMA", "HMA", "VWMA", "LinReg".      series (float) : (float) The input price series (typically close).      period (simple int) : (int) The number of periods used for MA calculation.   Returns: (float) The computed MA value or `na` if maType is invalid. ComputeATRValue(period)   ComputeATRValue @description Computes the moving average (ATR) value based on the specified ATR type.   Parameters:      period (int) : (int) The number of periods used for MA calculation.   Returns: (float) The computed ATR value or `na` if maType is invalid. Max(src, period)   Parameters:      src (float)      period (int) Min(src, period)   Parameters:      src (float)      period (int) ComputeRSIValue(src, period, smooth)   ComputeRSIValue @description Computes the moving average (RSI) value based on the specified RSI type.   Parameters:      src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.      period (int) : (int) The number of periods used for MA calculation.      smooth (int)   Returns: (float) The computed RSI value or `na` if maType is invalid. ComputeSMMAValue(src, period)   ComputeSMMAValue @description Computes the moving average (SMMA) value based on the specified SMMA type.   Parameters:      src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.      period (int) : (int) The number of periods used for MA calculation.   Returns: (float) The computed SMMA value or `na` if maType is invalid. ComputeStochasticValue(src, periodD, periodK, smoothingMethod, smoothingPeriod)   ComputeStochasticValue @description Computes the moving average (SMMA) value based on the specified SMMA type.   Parameters:      src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.      periodD (simple int) : (int) The number of periods used for MA calculation.      periodK (int) : (int) The number of periods used for MA calculation.      smoothingMethod (string) : (string) The type of moving average: "EMA", "SMA", "RMA", "WMA", "HMA", "VWMA", "LinReg".      smoothingPeriod (simple int) : (int) The number of periods used for MA calculation.   Returns: (float) The computed Stochastic(K, D) value or `na` if maType is invalid.
ספריית Pine Script®
מאת ‎ZuperView‎
NQ FVG + MSS ChecklistThe NQ FVG + MSS Quick Checklist is a simple yet powerful visual tool for traders focusing on the Nasdaq 100 (NQ) futures. It provides a step-by-step checklist to assess trade setups based on key market concepts like Fair Value Gaps (FVG), Market Structure Shifts (MSS), session highs/lows, and previous day levels. This indicator helps you quickly see which elements of your trading plan are met before entering a trade. Each checklist item can be manually toggled, and a cumulative Trade Score provides a quick visual guide to setup strength. Key Features: Step-by-step checklist for NQ trading setups Track levels: Session highs/lows & Previous Day High/Low Spot 5M FVG and Retests Identify MSS on 1M and find 1M FVG inside MSS Manual SL & TP guidance Trade Score for quick setup strength assessment Fully visible table overlay on top of the chart How to Use: Mark session & previous day levels Observe reaction at key levels (Sweep or Continue) Identify 5M FVG and any retests Spot 1M MSS and 1M FVG inside MSS Set SL/TP based on FVG extremes and next session levels Check the cumulative Trade Score for setup confirmation Note: This indicator is manual input-based, letting traders tick off items as they analyze the chart, making it a lightweight trading checklist HUD that stays on top of all chart elements.
אינדיקטור Pine Script®
מאת ‎FXNotes‎
BarLibrary "Bar" A comprehensive library for creating and managing custom multi-timeframe (MTF) candlestick bars without using request.security calls, providing enhanced visualization and analytical capabilities with improved performance Candle()   Creates a new candle object initialized with current bar's OHLC data   Returns: A new _Candle instance with current market data method body(this)   Calculates the absolute size of the candle body (distance between open and close)   Namespace types: _Candle   Parameters:      this (_Candle)   Returns: The absolute difference between closing and opening prices method topWick(this)   Calculates the length of the upper wick (shadow above the candle body)   Namespace types: _Candle   Parameters:      this (_Candle)   Returns: The distance from the higher of open/close to the high price method bottomWick(this)   Calculates the length of the lower wick (shadow below the candle body)   Namespace types: _Candle   Parameters:      this (_Candle)   Returns: The distance from the low price to the lower of open/close method display(this, bullishColor, bearishColor, transp, borderWidth, lineWidth)   Renders the candle visually on the chart with customizable colors and styling options   Namespace types: _Candle   Parameters:      this (_Candle)      bullishColor (color)      bearishColor (color)      transp (int)      borderWidth (int)      lineWidth (int) candles(tf, autoDisplay)   Creates and manages an array of custom timeframe candles with optional automatic display   Parameters:      tf (string) : Target timeframe string (e.g., "60", "240", "D") for candle aggregation      autoDisplay (bool)   Returns: Array containing all completed candles for the specified timeframe _Candle   Custom candlestick data structure that stores OHLCV data with visual rendering components   Fields:      start (series int) : Opening timestamp of the candle period      end (series int) : Closing timestamp of the candle period      o (series float) : Opening price of the candle      h (series float) : Highest price reached during the candle period      l (series float) : Lowest price reached during the candle period      c (series float) : Closing price of the candle      v (series float) : Volume traded during the candle period      bodyBox (series box)      wickLine (series line) Example Usage // Change version with latest version import EmreKb/Bar/1 as bar // "240" for 4h timeframe // true for auto display candles on chart (default: false) candlesArr = bar.candles("240", true)
ספריית Pine Script®
מאת ‎EmreKb‎
zuperviewResourcesLibrary "zuperview" ComputeMAValue(maType, series, period)   ComputeMAValue @description Computes the moving average (MA) value based on the specified MA type.   Parameters:      maType (string) : (string) The type of moving average: "EMA", "SMA", "RMA", "WMA", "HMA", "VWMA", "LinReg".      series (float) : (float) The input price series (typically close).      period (simple int) : (int) The number of periods used for MA calculation.   Returns: (float) The computed MA value or `na` if maType is invalid. ComputeATRValue(period)   ComputeATRValue @description Computes the moving average (ATR) value based on the specified ATR type.   Parameters:      period (int) : (int) The number of periods used for MA calculation.   Returns: (float) The computed ATR value or `na` if maType is invalid. Max(src, period)   Parameters:      src (float)      period (int) Min(src, period)   Parameters:      src (float)      period (int) ComputeRSIValue(src, period, smooth)   ComputeRSIValue @description Computes the moving average (RSI) value based on the specified RSI type.   Parameters:      src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.      period (int) : (int) The number of periods used for MA calculation.      smooth (int)   Returns: (float) The computed RSI value or `na` if maType is invalid. ComputeSMMAValue(src, period)   ComputeSMMAValue @description Computes the moving average (SMMA) value based on the specified SMMA type.   Parameters:      src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.      period (int) : (int) The number of periods used for MA calculation.   Returns: (float) The computed SMMA value or `na` if maType is invalid. ComputeStochasticValue(src, periodD, periodK, smoothingMethod, smoothingPeriod)   ComputeStochasticValue @description Computes the moving average (SMMA) value based on the specified SMMA type.   Parameters:      src (float) : (series) Input series (series float), which can be close (`close`), open (`open`), high (`high`), low (`low`), or any other price-based series.      periodD (simple int) : (int) The number of periods used for MA calculation.      periodK (int) : (int) The number of periods used for MA calculation.      smoothingMethod (string) : (string) The type of moving average: "EMA", "SMA", "RMA", "WMA", "HMA", "VWMA", "LinReg".      smoothingPeriod (simple int) : (int) The number of periods used for MA calculation.   Returns: (float) The computed Stochastic(K, D) value or `na` if maType is invalid. FindSwingsByNeighborhood(arraySwingTop, arraySwingBottom, neighborhood)   Find Swings By Neighborhood @description Computes the moving average (SMMA) value based on the specified SMMA type.   Parameters:      arraySwingTop (array) : (array): An array to store detected swing highs.      arraySwingBottom (array) : (array): An array to store detected swing lows.      neighborhood (int) : (int): The number of bars to consider when identifying a swing point.   Returns: none FindSwingsByOffset(arraySwingTop, arraySwingBottom, minSwingLength)   Find Swings By Offset @description Identifies swing points based on a minimum swing length criteria.   Parameters:      arraySwingTop (array) : (array): An array to store detected swing highs.      arraySwingBottom (array) : (array): An array to store detected swing lows.      minSwingLength (float) : (float): The minimum price movement required to qualify as a swing point.   Returns: none SwingPoint   Fields:      Key (series int)      IsTop (series bool)      Price (series float)      BarStart (series int)      BarEnd (series int)      TimeStart (series int)      TimeEnd (series int)      Sign (series int)      Label (series label)
ספריית Pine Script®
מאת ‎ZuperView‎
Market Internal Strength (DJI/Nasdaq/S&P)Market Health Dow, Nasdaq & S\&P 500 Breadth Track the true internal health of the US market's three most important indices the Dow Jones Industrial Average (DJI), the Nasdaq 100 (NDX), and the S\&P 500 (SPX). Price action alone can be deceiving. A rising index might be driven by only a handful of mega-cap stocks, masking underlying weakness. This indicator provides a crucial look "under the hood" to measure the market's true breadth. It visualizes the percentage of stocks within each index that are trading above their key moving averages (5, 20, 50, 100, 150, and 200-day). This allows you to instantly gauge whether a market trend is broadly supported by the majority of its constituent stocks. Key Features * Covers 3 Major US Indices Seamlessly switch your analysis between the Dow Jones, Nasdaq 100, and S\&P 500. * Complete Breadth Picture Six MA periods offer a full view, from short-term momentum (5D, 20D) to the long-term institutional trend (150D, 200D). * Fully Customizable Toggle the visibility of any line and adjust overbought/oversold levels to fit your personal strategy. How to Use 1. Extreme Readings (Overbought/Oversold) * Above 80% Signals a very strong, potentially overbought market. Caution is advised as a pullback could be near. * Below 20% Signals a deeply oversold market, often indicating capitulation and potential buying opportunities. 2. Divergence (Powerful Warning Signal) * Bearish The index price makes a new high, but this indicator makes a lower high. This warns that the rally is not broad-based and may be losing steam. * Bullish The index price makes a new low, but this indicator makes a higher low. This suggests internal strength is building and a bottom may be forming. 3. Trend Confirmation When the long-term lines (150D, 200D) remain high (e.g., \> 50%), the primary market trend is healthy and confirmed.
אינדיקטור Pine Script®
מאת ‎waranyutrkm‎
Master Candle# Master Candle Indicator ## Overview The Master Candle Indicator identifies and highlights significant price consolidation patterns where multiple candles trade within the high-low range of a single "master" candle. This technical analysis tool helps traders spot potential breakout zones and key support/resistance levels. ## What is a Master Candle? A Master Candle is a candlestick that contains 4 or more subsequent candles completely within its high-low range. These formations often indicate: - Market consolidation phases - Potential breakout areas - Strong support and resistance levels - Areas of price compression before significant moves ## Features ✅ **Automatic Detection**: Scans historical data to identify Master Candle patterns ✅ **Visual Highlighting**: Draws colored boxes around detected Master Candles ✅ **Customizable Parameters**: Adjust minimum candles required (2-20) ✅ **Candle Counter**: Shows exact number of candles contained within each Master Candle ✅ **Performance Optimized**: Efficient lookback system with memory management ✅ **Clean Interface**: Non-intrusive visual design that doesn't clutter charts ## How to Use 1. Add the indicator to your chart 2. Adjust the "Minimum candles inside" parameter (default: 4) 3. Set the lookback period for historical scanning (default: 50) 4. Master Candles will be automatically highlighted with colored boxes 5. Use these levels as potential support/resistance zones for your trading strategy ## Settings - **Minimum candles inside**: Set how many candles must be contained (2-20) - **Lookback period**: How far back to scan for patterns (10-200 bars) ## Educational Purpose This indicator is designed for educational and analysis purposes. It helps traders: - Understand market consolidation patterns - Identify potential breakout zones - Recognize key support and resistance areas - Improve market structure analysis skills ## Technical Details - Compatible with all timeframes - Works on any trading instrument - Optimized for performance with automatic memory management - Uses historical data analysis for pattern detection ## Important Notes - This indicator is for educational and analytical purposes only - Past patterns do not guarantee future results - Always combine with other analysis tools - Practice proper risk management in your trading - Not financial advice - for educational use only
אינדיקטור Pine Script®
מאת ‎sabinaGM‎