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Moving Averages

Quantum Flow Navigator @DaviddTechQuantum Flow Navigator – DaviddTech Precision Strategy Builder Powered by Adaptive Filters, Statistical Noise Reduction & Multi-Modal Confirmation 🚀 Bullish Signal : Enter when ALMA, FluxWave, and QuickSilver all confirm bullish trend, with high volume and valid noise filter state. 🔻 Bearish Signal : Enter short when all components align bearishly and filters validate the signal. 🚪 Exit : Automatically managed by dynamic SL/TP or indicator-based reversal logic. ✅ Overview & DaviddTech Methodology Quantum Flow Navigator is an advanced, multi-component trading system engineered around the strict modular logic of the DaviddTech methodology . It integrates every core component required for a fully rule-based and signal-driven strategy—baseline, confirmations, volume filter, exit system, and noise filter. Designed for traders who demand structure, clarity, and data-backed decision-making on 15M, 1H, and 4H charts. 🔍 Indicator Components Baseline: Adaptive ALMA Filter Smooth and responsive dynamic trend detection, with momentum validation and optional filled zones for enhanced visual feedback. Confirmation #1: FluxWave Oscillator Developed from an enhanced Trendlio concept by @dudeowns , FluxWave uses ALMA-smoothed rate-of-change logic with configurable signal behavior. Confirmation #2: QuickSilver Band System Custom breakout engine that maps volatility envelopes using multi-layered deviation bands for clear confirmation of structure breaks and trend direction. Volume Filter: Normalized Volume Energy Innovative volume filter inspired by @ceyhun 's work. Filters trades by classifying energy into High, Normal, or Low based on normalized volume context. Exit System: Dynamic Momentum Stop Loss Choose from Smart Adaptive, Trailing, Stepped, Percentage, ATR, or Volatility-adjusted logic. Supports TP via risk/reward, ATR multiples, or percentage targets. Noise Filtration: Quantum Statistical Noise Reduction Fuses Kalman smoothing with wavelet decomposition to eliminate non-signal noise and improve trade quality and confidence. 🎨 Visual System & Dashboard 🚀/🔻/🚪 Emoji Labels : Buy, sell, and exit trades clearly marked for instant recognition. Color-Shifting Bars : Reflect FluxWave’s trend bias in real-time. ALMA Fill Zone : Visual trend envelope between price and ALMA baseline. QuickSilver Bands : Volatility envelopes with graduated depth for support/resistance awareness. SL & TP Visuals : Dynamic stop-loss and take-profit zones plotted directly on chart. Navigator Panel : In-chart dashboard displays real-time trend status, volume energy, noise filter state, signal strength, and active position tracking. 📈 How to Trade with It Entry Mode Selection : Choose between Combined, ALMA, FluxWave, QuickSilver, or Custom scoring logic. Final Signals : Trigger only when confirmations align, volume energy is valid, and noise is low. Dashboard Summary : Use real-time signal display to validate entry strength. Timeframes : 15M–1H recommended for swing/intraday setups; 5M–15M for automation. 💡 Advanced Features Entry Strength Scoring: Composite weight of all active components + filters. Cooldown System: Limits excessive signals in volatile periods. Multiple Exit Strategies: SL & TP modes with optional indicator-based exits. Statistical Filtering: Wavelet + Kalman combination optimizes entry confidence. Full Alert Suite: Covers entries, exits, filter triggers, volume states, and more. 🧠 Suggested Strategy Usage Wait for full confirmation from ALMA, FluxWave, and QuickSilver. Ensure volume energy is High and noise filter confirms trend clarity. Use adaptive SL/TP or indicator-based exits. Monitor dashboard for live signal strength ≥ threshold. Use “Balanced” mode for general use; switch to “Aggressive” for tighter signals. 📝 Credits & Originality Concept based on DaviddTech’s component-driven methodology . FluxWave Oscillator built as an evolved version of Trendlio with full signal customization — credit @dudeowns . Volume Energy Filter adapted from the work of @ceyhun . Noise filtration and system architecture developed independently using Pine Script v6. All code and logic is original, non-rehashed, and completely refactored to ensure uniqueness. Quantum Flow Navigator fuses adaptive baselines, confirmation logic, energy-based filters, and statistical refinement into a precision signal engine—optimized for traders who value structure, clarity, and control.
Pine Script® indicator
by daviddtech
10
AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool! 📊 What is AllMA Trend Radar? AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style. 💡 The main components of the indicator 📈 Fast and slow moving averages The indicator uses two main lines: - Fast MA (blue line): reacts faster to price changes - Slow MA (red line): smoother, reflects a long-term trend The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market. 🔄 Wide range of moving averages There are more than 30 types of moving averages at your disposal: - SMA: Simple moving average - EMA: Exponential moving average - WMA: Weighted moving average - DEMA: double exponential MA - TEMA: triple exponential MA - HMA: Hull Moving Average - LSMA: Moving average of least squares - JMA: Eureka Moving Average - ALMA: Arnaud Legoux Moving Average - ZLEMA: moving average with zero delay - And many others! 🔍 Indicator signals 1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA) Up/Down signals (intersection) - Buy (Up) signal: - What happens: the fast MA crosses the slow MA from bottom to top - What does the green triangle with the "Buy" label under the candle look like - What does it mean: a likely upward trend reversal or an uptrend strengthening - Sell signal (Down): - What happens: the fast MA crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: a likely downtrend reversal or an increase in the downtrend Greater/Less signals (ratio) - Buy signal (Greater): - What happens: the fast MA becomes higher than the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the formation or confirmation of an uptrend - Sell signal (Less): - What happens: the fast MA becomes lower than the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the formation or confirmation of a downtrend 2️⃣ Signals ⚡️ Fast MA (fast MA and price) Up/Down signals (intersection) - Buy signal (Up Fast): - What happens: the price crosses the fast MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a short-term price growth signal - Sell signal (Down Fast): - What happens: the price crosses the fast MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a short-term price drop signal Greater/Less signals (ratio) - Buy signal (Greater Fast): - What happens: the price is getting higher than the fast MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the fast MA, which indicates an upward movement - Sell signal (Less Fast): - What happens: the price is getting lower than the fast MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the fast MA, which indicates a downward movement 3️⃣ Signals 🐢 Slow MA (slow MA and price) Up/Down signals (intersection) - Buy signal (Up Slow): - What happens: the price crosses the slow MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a potential medium-term upward trend reversal - Sell signal (Down Slow): - What happens: the price crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a potential medium-term downward trend reversal Greater/Less signals (ratio) - Buy signal (Greater Slow): - What happens: the price is getting above the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the slow MA, which indicates a strong upward movement - Sell signal (Less Slow): - What is happening: the price is getting below the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the slow MA, which indicates a strong downward movement 🛠 Filters to filter out false signals 1️⃣ Minimum distance between the signals - What it does: sets the minimum number of candles between signals of the same type - Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility - How to set it up: Set a different value for each signal type (default: 3-5 bars) - Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later 2️⃣ Advanced indicator filters 🔍 RSI Filter - What it does: Checks the Relative Strength Index (RSI) value before generating a signal - Why it is needed: it helps to avoid countertrend entries and catch reversal points - How to set up: - For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30) - For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100) - Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed 📊 MFI Filter (Cash Flow Index) - What it does: analyzes volumes and the direction of price movement - Why it is needed: confirms signals with data on the activity of cash flows - How to set up: - For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25) - For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100) - Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed 📈 Stochastic Filter - What it does: analyzes the position of the current price relative to the price range - Why it is needed: confirms signals based on overbought/oversold conditions - How to configure: - You can configure the K Length, D Length and Smoothing parameters - For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20) - For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100) - Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed 🔌 Connecting to trading strategies The indicator provides various connectors to connect to your trading strategies.: 1️⃣ Individual connectors for each type of signal - 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA - 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA - 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA - 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA - 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA - 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals 2️⃣ Combined connectors - 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down) - 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less) - 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less) ❗️ All connectors return values: - 1: buy signal - -1: sell signal - 0: no signal 📚 How to start using AllMA Trend Radar 1️⃣ Selection of types of moving averages - Add an indicator to the chart - Select the type and period for the fast MA (default: DEMA with a period of 14) - Select the type and period for the slow MA (default: SMA with a period of 14) - Experiment with different types of MA to find the best combination for your trading style 2️⃣ Signal settings - Turn on the desired signal types (Up/Down, Greater/Less) - Set the minimum distance between the signals - Activate and configure the necessary filters (RSI, MFI, Stochastic) 3️⃣ Checking on historical data - Analyze how the indicator works based on historical data - Pay attention to the accuracy of the signals and the presence of false alarms - Adjust the settings if necessary 4️⃣ Introduction to the trading strategy - Decide which signals will be used to enter the position. - Determine which signals will be used to exit the position. - Connect the indicator to your trading strategy through the appropriate connectors 🌟 Practical application examples Scalping strategy - Fast MA: TEMA with a period of 8 - Slow MA: EMA with a period of 21 - Active signals: Fast MA Up/Down - Filters: RSI (range 1-40 for purchases, 60-100 for sales) - Signal spacing: 3 bars Strategy for day trading - Fast MA: TEMA with a period of 10 - Slow MA: SMA with a period of 20 - Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less - Filters: MFI (range 1-25 for purchases, 75-100 for sales) - Signal spacing: 5 bars Swing Trading Strategy - Fast MA: DEMA with a period of 14 - Slow MA: VWMA with a period of 30 - Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less - Filters: Stochastic (range 1-20 for purchases, 80-100 for sales) - Signal spacing: 8 bars A strategy for positional trading - Fast MA: HMA with a period of 21 - Slow MA: SMA with a period of 50 - Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less - Filters: RSI and MFI at the same time - The distance between the signals: 10 bars 💡 Tips for using AllMA Trend Radar 1. Select the types of MA for market conditions: - For trending markets: DEMA, TEMA, HMA (fast MA) - For sideways markets: SMA, WMA, VWMA (smoothed MA) - For volatile markets: KAMA, AMA, VAMA (adaptive MA) 2. Combine different types of signals: - Up/Down signals work better when moving from a sideways trend to a directional one - Greater/Less signals are optimal for fixing a stable trend 3. Use filters effectively: - The RSI filter works great in trending markets - MFI filter helps to confirm the strength of volume movement - Stochastic filter works well in lateral ranges 4. Adjust the minimum distance between the signals: - Small values (2-3 bars) for short-term trading - Average values (5-8 bars) for medium-term trading - Large values (10+ bars) for long-term trading 5. Use combination connectors: - For more reliable signals, connect the indicator through the combined connectors 💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!
Pine Script® indicator
by trade_lexx
DC History & Daily Cross CountOkay, here is a technical document for the Pine Script indicator we developed. This can be used as a guide or description when publishing the script on TradingView or elsewhere. Technical Document: SMA Cross Signals & Static DC History (Death Cross) Version: 1.0 Date: April 14, 2025 Indicator Name: Specific Static DC History + Live Signals Pine Script Version: 5 1. Overview This TradingView indicator is designed to provide traders with visual signals for Simple Moving Average (SMA) crossovers, specifically focusing on the "Death Cross", while also presenting relevant historical context via a static data table and a real-time daily cross counter. It combines several features: Plotting of a fast and a slow Simple Moving Average (SMA). Visual identification and marking of "Death Cross" events (Fast SMA crossing below Slow SMA) directly on the price chart. A customizable table displaying static, pre-defined historical performance data of the S&P 500 following specific Death Crosses that occurred between 2016 and 2022. An optional label that counts the total number of SMA crosses (both Golden Crosses and Death Crosses) occurring during the current trading day/session, including extended hours if enabled by the user on their chart. 2. Features Customizable SMA Lengths: User-defined periods for both the Fast (default 50) and Slow (default 200) SMAs. Death Cross Signals: Clear visual markers (red triangles above the bar and optional background shading) when the Fast SMA closes below the Slow SMA. Optional SMA Plotting: Ability to show or hide the SMA lines themselves. Static Historical Performance Table: Displays fixed historical return data (1 Week, 1 Month, 3 Months, 6 Months, 1 Year) following specific S&P 500 Death Crosses that occurred on 1/11/2016, 12/7/2018, 3/30/2020, and 3/14/2022. Note: This data is static and does not change based on the current chart. Customizable Table Position: User can select the on-screen corner for the data table. Daily SMA Cross Counter: Optionally displays a label showing the cumulative number of times the Fast SMA has crossed above (Golden Cross) or below (Death Cross) the Slow SMA during the current trading day/session. Extended Hours Compatibility: The Daily Cross Counter includes crosses from pre-market and after-hours sessions if the user has "Extended Trading Hours" enabled on their TradingView chart settings. 3. Technical Explanation SMA Calculation: The script uses the built-in ta.sma(source, length) function, calculating the Simple Moving Average based on the close price of each bar for the user-defined fastLen and slowLen. Death Cross Detection: A Death Cross is detected using ta.crossunder(fastMA, slowMA). This function returns true on the first bar where the value of fastMA is less than the value of slowMA, after previously being greater than or equal to it. The comparison is based on the calculated SMA values at the close of each bar. Golden Cross Detection: Similarly, ta.crossover(fastMA, slowMA) is used to detect Golden Crosses for the daily counter. Visual Signals: The plotshape() function draws a red triangle above the bar where deathCross is true. The bgcolor() function applies a transparent red background to the bar where deathCross is true. Static Table Data: The historical performance data for the 4 specified dates (Jan 2016 - Mar 2022) is hardcoded into array variables within the script. This data was derived from a prior analysis (based on the initially provided image, source likely Dow Jones Market Data or similar) and is not calculated dynamically from the chart. The script iterates through these arrays and populates a table object on the last bar. Daily Cross Counter: A var int dailyCrossCount variable holds the count, ensuring persistence across bars within a day. ta.change(time("D")) detects the start of a new daily session based on the chart's symbol and session settings. When true, the dailyCrossCount is reset to 0. On each bar, if either deathCross or goldenCross is true, the dailyCrossCount is incremented. A label object displays the dailyCrossCount and is updated on the last bar (barstate.islast). Extended Hours Inclusion: The script inherently uses the data series provided by the chart. If the chart is configured to include Extended Trading Hours (ETH), the close prices used for SMA calculations will reflect ETH data, and crosses occurring during ETH will be detected and counted. 4. Settings (Inputs) Show Static Data Table (2016-2022) (Checkbox): Toggles the visibility of the table containing the fixed historical performance data. (Default: On) Table Position (Dropdown): Selects the corner or side of the chart where the static data table will be displayed. (Default: top_right) Plot 50/200 SMAs (Checkbox): Toggles the visibility of the Fast and Slow SMA lines on the chart. (Default: On) Fast MA Length (Integer Input): Sets the lookback period for the Fast Simple Moving Average. (Default: 50) Slow MA Length (Integer Input): Sets the lookback period for the Slow Simple Moving Average. (Default: 200) Show Daily Cross Count (Checkbox): Toggles the visibility of the label displaying the number of SMA crosses detected during the current day's session. (Default: On) 5. How to Use / Interpretation Apply the indicator to your desired chart (e.g., SPY, QQQ, /ES). Use the plotted SMA lines (if enabled) and the red triangle/background signals to identify potential trend changes indicated by Death Crosses based on your chosen MA lengths. Remember that these are lagging indicators. Refer to the static data table for historical context only. It shows how the S&P 500 performed following specific Death Crosses between 2016 and 2022. This data is fixed and does not predict future performance. Use the "Today's SMA Crosses" label (if enabled) to gauge the frequency of interaction between the chosen SMAs during the current session. A higher number might indicate choppier conditions or potential shifts on the chart's timeframe. Important: For the Daily Cross Counter to reflect pre-market/after-hours activity, ensure "Extended Trading Hours" (ETH) is enabled in your TradingView chart settings. Be aware that the number of crosses detected by the script (based on bar closes) may differ from visual interpretations of lines touching intraday, especially on lower timeframes. 6. Limitations Static Table Data: The performance data in the table is fixed to the 4 provided historical instances (2016-2022) and is not calculated dynamically or updated. It serves only as a historical reference point. Lagging Indicators: Moving Averages and their crosses are lagging indicators and may not signal trend changes precisely at tops or bottoms. Cross Calculation: Crosses are based on the closing price of each bar. Intraday price movements briefly piercing an SMA may not register as a confirmed cross. Daily Counter Definition: The definition of "Today" depends on the chart's session timing, which might not align perfectly with a calendar day. Whipsaws: On lower timeframes or during volatile periods, MA crosses can generate frequent signals (whipsaws) which may be less reliable. 7. Disclaimer This indicator is provided for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Trading involves significant risk, and past performance (including the historical data presented in the table) is not indicative of future results. Always conduct your own thorough research and consult with a qualified financial advisor before making any trading decisions.  
Pine Script® indicator
by manindersinghx
Multi-timeframe Moving Average Overlay w/ Sentiment Table🔍 Overview This indicator overlays selected moving averages (MA) from multiple timeframes directly onto the chart and provides a dynamic sentiment table that summarizes the relative bullish or bearish alignment of short-, mid-, and long-term moving averages. It supports seven moving average types — including traditional and advanced options like DEMA, TEMA, and HMA — and provides visual feedback via table highlights and alerts when strong momentum alignment is detected. This tool is designed to support traders who rely on multi-timeframe analysis for trend confirmation, momentum filtering, and high-probability entry timing. ⚙️ Core Features Multi-Timeframe MA Overlay: Plot moving averages from 1-minute, 5-minute, 1-hour, 1-day, 1-week, and 1-month timeframes on the same chart for visual trend alignment. Customizable MA Type: Choose from: EMA (Exponential Moving Average) SMA (Simple Moving Average) DEMA (Double EMA) TEMA (Triple EMA) WMA (Weighted MA) VWMA (Volume-Weighted MA) HMA (Hull MA) Adjustable MA Length: Change the length of all moving averages globally to suit your strategy (e.g. 9, 21, 50, etc.). Sentiment Table: Visually track trend sentiment across four key zones (Hourly, Daily, Weekly, Monthly). Each is based on the relative positioning of short-term and long-term MAs. Sentiment Symbols Explained: ↑↑↑: Strong bullish momentum (short-term MAs stacked above longer-term MAs) ↑↑ / ↑: Moderate bullish bias ↓↓↓: Strong bearish momentum ↓↓ / ↓: Moderate bearish bias Table Customization: Choose the table’s position on the chart (bottom right, top right, bottom left, top left). Style Customization: Display MA lines as standard Line or Stepline format. Color Customization: Individual colors for each timeframe MA line for visual clarity. Built-in Alerts: Receive alerts when strong bullish (↑↑↑) or bearish (↓↓↓) sentiment is detected on any timeframe block. 📈 Use Cases 1. Trend Confirmation: Use sentiment alignment across multiple timeframes to confirm the overall trend direction before entering a trade. 2. Entry Timing: Wait for a shift from neutral to strong bullish or bearish sentiment to time entries during pullbacks or breakouts. 3. Momentum Filtering: Only trade in the direction of the dominant multi-timeframe trend. For example, ignore long setups when all sentiment blocks show bearish alignment. 4. Swing & Intraday Scalping: Use hourly and daily sentiment zones for swing trades, or rely on 1m/5m MAs for precise scalping decisions in fast-moving markets. 5. Strategy Layering: Combine this overlay with support/resistance, RSI, or volume-based signals to enhance decision-making with multi-timeframe context. ⚠️ Important Notes Lower-timeframe values (1m, 5m) may appear static on higher-timeframe charts due to resolution limits in TradingView. This is expected behavior. The indicator uses MA stacking, not crossover events, to determine sentiment.
Pine Script® indicator
by TheUltimator5
Combined EMA/Smiley & DEM System## 🔷 General Overview This script creates an advanced technical analysis system for TradingView, combining multiple Exponential Moving Averages (EMAs), Simple Moving Averages (SMAs), dynamic Fibonacci levels, and ATR (Average True Range) analysis. It presents the results clearly through interactive, real-time tables directly on the chart. --- ## 🔹 Indicator Structure The script consists of two main parts: ### **1. EMA & SMA Combined System with Fibonacci** - **Purpose:** Provides visual insights by comparing multiple EMA/SMA periods and identifying significant dynamic price levels using Fibonacci ratios around a calculated "Golden" line. - **Components:** - **Moving Averages (MAs)**: - 20 EMAs (periods from 20 to 400) - 20 SMAs (also from 20 to 400) - **Golden Line:** Calculated as the average of all EMAs and SMAs. - **Dynamic Fibonacci Levels:** Key ratios around the Golden line (0.5, 0.618, 0.786, 1.0, 1.272, 1.414, 1.618, 2.0) dynamically adjust based on market conditions. - **Fibonacci Labels:** Labels are shown next to Fibonacci lines, indicating their numeric value clearly on the chart. - **Table (Top Right Corner):** - Displays: - **Input:** EMA/SMA periods sorted by their current average price levels. - **AVG:** The average of corresponding EMA & SMA pairs. - **EMA & SMA Values:** Individual EMA/SMA values clearly marked. - **Dynamic Highlighting:** Highlights the row whose average (EMA+SMA)/2 is closest to the current price, helping identify immediate price action significance. - **Sorting Logic:** Each EMA/SMA pair is dynamically sorted based on their average values. Color coding (red/green) is used: - **Green:** EMA/SMA pairs with shorter periods when their average is lower. - **Red:** EMA/SMA pairs with longer periods when their average is lower. - **Star (⭐):** Represents the "Golden" average clearly. --- ### **2. DEM System (Dynamic EMA/ATR Metrics)** - **Purpose:** Provides detailed ATR statistics to assess market volatility clearly and quickly. - **Components:** - **Moving Averages:** - SMA lines: 25, 50, 100, 200. - **Bollinger Bands:** - Based on 20-period SMA of highs and standard deviation of lows. - **ATR Analysis:** - ATR calculations for multiple periods (1-day, 10, 20, 30, 40, 50). - **ATR Premium:** Average ATR of all calculated periods, providing an overarching volatility indicator. - **ATR Table (Bottom Right Corner):** - Displays clearly structured ATR values and percentages relative to the current close price: - Columns: **ATR Period**, **Value**, and **% of Close**. - Rows: Each specific ATR (1D, 10, 20, 30, 40, 50), plus ATR premium. - The ATR premium is highlighted in yellow to signify its importance clearly. --- ## 🔹 Key Features and Logic Explained - **Dynamic EMA/SMA Sorting:** The script computes the average of each EMA/SMA pair and sorts them dynamically on each bar, highlighting their relative importance visually. This allows traders to easily interpret the strength of current support/resistance levels based on moving averages. - **Closest EMA/SMA Pair to Current Price:** Calculates the absolute difference between the current price and all EMA/SMA averages, highlighting the closest one for quick reference. - **Fibonacci Ratios:** - Dynamically calculated Fibonacci levels based on the "Golden" EMA/SMA average give clear visual guidance for potential targets, supports, and resistances. - Labels are continuously updated and placed next to levels for clarity. - **ATR Volatility Analysis:** - Provides immediate insight into market volatility with absolute and relative (percentage-based) ATR values. - ATR premium summarizes volatility across multiple timeframes clearly. --- ## 🔹 Practical Use Case: - Traders can quickly identify support/resistance and critical price zones through EMA/SMA and Fibonacci combinations. - Useful in assessing immediate volatility, guiding stop-loss and take-profit levels through detailed ATR metrics. - The dynamic highlighting in tables provides intuitive, real-time decision support for active traders. --- ## 🔹 How to Use this Script: 1. **Adjust EMA & SMA Lengths** from indicator settings if different periods are preferred. 2. **Monitor dynamic Fibonacci levels** around the "Golden" average to identify possible reversal or continuation points. 3. **Check EMA/SMA table:** Rows highlighted indicate immediate significance concerning current market price. 4. **ATR table:** Use volatility metrics for better risk management. --- ## 🔷 Conclusion This advanced Pine Script indicator efficiently combines multiple EMAs, SMAs, dynamic Fibonacci retracement levels, and volatility analysis using ATR into a comprehensive real-time analytical tool, enhancing traders' decision-making capabilities by providing clear and actionable insights directly on the TradingView chart.
Pine Script® indicator
by The_Real_Hippopotamus
Rogue ORB PRORogue ORB Pro is a precision-engineered Opening Range Breakout (ORB) indicator built for active intraday traders who need real signals, not noise. This tool identifies high-probability breakout entries from the opening range, enhanced with optional ATR-based stop loss levels, deviation targets, cooldown filters, and a relative volume gate to filter weak setups. 🔍 Key Features: Opening Range High/Low: Drawn from a user-defined time window and locked for the day Deviations: Automatically plots target zones above and below the OR range (e.g. 1, 2 deviations) Pre-Market Levels: Automatically draws pre market high and low lines at the end of pre market session Buy/Sell Signals: Triggered on breakout of the OR High/Low with configurable breakout logic (touch or close) ATR Stop Loss Line: Dynamically drawn at a fixed ATR distance from breakout candle, with optional SL label Cooldown Period: Prevents back-to-back signals by enforcing a user-defined bar delay between entries, can help with overtrading Volume Filter: Optional relative volume filter that requires breakout candles to exceed a custom volume threshold VWAP Overlay: Visual VWAP for directional bias and confluence
Pine Script® indicator
by RogueLLC33
1
Oil/gas ratio MAOil/Gas Ratio-Based Equivalent Price This indicator calculates the gas-equivalent price based on the current oil price and a defined oil/gas ratio. It helps identify relative overvaluation or undervaluation of natural gas compared to oil. Features: - Choose between a static or dynamic (SMA-based) oil/gas ratio - Displays the fair value of gas derived from oil prices - Works with any oil ticker symbol (e.g. BRENT, USOIL, etc.) Useful for traders analyzing intermarket relationships and looking for relative value signals between energy commodities.
Pine Script® indicator
by Slavtrad
Liquidity Sweep with EMAThis Pine Script indicator helps traders identify potential market reversals based on liquidity sweeps, where the price moves through the previous candle's low or high and then closes above or below the previous candle's wick. These are often seen as significant market moves or liquidity grabs before a potential reversal or continuation. The indicator is also equipped with an EMA (Exponential Moving Average) as an optional visual aid to give traders a sense of the prevailing trend, though it is not used as part of the signal generation logic. Key Features: Liquidity Sweep Detection: Bullish Sweep: Triggered when the current candle sweeps below the low of the previous candle and then closes above the high of the previous candle. This indicates a potential market reversal to the upside after the liquidity sweep. Bearish Sweep: Triggered when the current candle sweeps above the high of the previous candle and then closes below the low of the previous candle. This indicates a potential market reversal to the downside after the liquidity sweep. EMA: The EMA (50) is plotted on the chart for visual trend guidance. While it is not used to confirm the signals, it can help traders see if the market is in a general uptrend or downtrend. Signal Presentation: Buy Signal: The indicator will plot a green upward arrow below the candle when a bullish liquidity sweep is detected. Sell Signal: The indicator will plot a red downward arrow above the candle when a bearish liquidity sweep is detected. Timeframe Filter: The indicator only generates signals on the following timeframes: 30-minute, 1-hour, 4-hour, and Daily. This helps to ensure the sweeps are significant and likely to result in meaningful price moves. Alerts: Alerts can be set up for both bullish and bearish sweep signals, so traders can be notified when these events occur. Customizable: EMA Length: The length of the Exponential Moving Average (EMA) can be adjusted. By default, it is set to 50, but you can modify this to fit your trading strategy. Show EMA Option: You can toggle whether or not to display the EMA line on the chart. How It Works: The indicator looks for price action patterns where the current candle sweeps through the high or low of the previous candle and closes beyond the previous wick. These patterns are often seen as potential traps, where the price initially moves in one direction (sweeping the liquidity) and then quickly reverses, making them important for traders who want to catch reversals or breakouts after a liquidity sweep. The EMA (50) gives a general trend direction but doesn't directly affect the trade signals. It serves as a visual reference for trend analysis. Potential Use Cases: Reversal Trading: Traders can use this indicator to catch reversals after a liquidity sweep. The green upward arrows may indicate a bullish reversal, while the red downward arrows may indicate a bearish reversal. Trend Trading: The EMA can help traders gauge the overall market trend. If the price is above the EMA, the market may be in an uptrend, and traders may focus on bullish sweeps. Conversely, if the price is below the EMA, the market may be in a downtrend, and traders may focus on bearish sweeps. Confirmation with Other Indicators: Although the EMA is not used to confirm signals in this script, it can be combined with other indicators (like RSI, Volume, or MACD) to enhance the accuracy of your trades. Final Thoughts: This script is designed to identify liquidity sweeps and price reversals based on price action alone, without relying on complex indicators. The optional EMA serves as a helpful tool for understanding the overall market trend. It’s ideal for traders looking to spot potential reversal points after significant price sweeps and is suitable for multiple timeframes (30m, 1h, 4h, Daily). You can use this description to help potential users understand the functionality of your indicator when publishing it on TradingView or selling it as an invite-only script. Let me know if you need any adjustments or further details!
Pine Script® indicator
by frazerlittle
Composite Scaled EMA LevelsComposite Scaled EMA Levels Indicator This TradingView Pine Script indicator calculates a “composite EMA” that compares the closing price of the current asset with that of the XU100 index and scales the EMA values to the XU100 level. It then visualizes these computed levels as horizontal lines on the chart with corresponding labels. Key Components: Inputs and Data Retrieval: Length Input: The user defines a parameter length (default is 10) which determines over how many bars the horizontal line is drawn. Data Collection: The daily closing price of the current symbol (current_close) is retrieved using request.security(). The daily closing price of the XU100 index (xu100) is also retrieved. A ratio is computed as current_close / xu100. This ratio serves as the basis for calculating the composite EMAs. EMA Calculations: The indicator computes Exponential Moving Averages (EMAs) on the ratio for specific periods. In the provided version, the script calculates EMAs for three periods (34, 55, and 233), though you can easily expand this to other periods if needed. Each computed EMA (for instance, EMA34, EMA55, EMA233) is then scaled by multiplying it with the XU100 index’s close, converting it to a price level that is meaningful on the chart. Drawing Horizontal Lines: Instead of using the standard plot() function, the script uses line.new() to draw horizontal lines representing the scaled EMA values over the last “length” bars. Before drawing new lines, any existing lines and labels are deleted to ensure that only the most current values are shown. Adding Labels to Lines: The script creates a label for each EMA using label.new(), placing the label at the current bar (i.e., the rightmost position on the chart) using label.style_label_left so that the text appears to the right of the line. The label displays the name of the composite EMA (e.g., "Composite EMA 34") along with its current scaled value. Visualization: The horizontal lines and labels provide a visual reference for the composite EMA levels. These lines help traders see critical support/resistance levels derived from the relationship between the current asset and the XU100 index. Colors are assigned for clarity (for example, the EMA lines in this version use green). Summary: The Composite Scaled EMA Levels indicator is designed to help traders analyze the relationship between an asset’s price and the broader market index (XU100) by calculating a ratio and then applying EMAs on that ratio. By scaling these EMAs back to price levels and displaying them as horizontal lines with clear labels on the chart, the indicator offers a visual tool to assess trend direction and potential support or resistance levels. This can assist in making informed trading decisions based on composite trend analysis.
Pine Script® indicator
by AhmetKasa
4
MTF RSI & SMA Crossover [OB/OS Filtered Signals]MTF RSI & SMA Crossover This custom indicator combines the power of Multi-Timeframe (MTF) RSI, Simple Moving Average (SMA), and overbought/oversold (OB/OS) conditions to provide precise buy and sell signals based on the crossovers of the RSI and its SMA. The indicator includes the following features: MTF RSI: The Relative Strength Index (RSI) is calculated on a customizable timeframe, giving traders the ability to analyze price momentum across different timeframes. SMA of RSI: The RSI is smoothed using a Simple Moving Average (SMA), helping to filter out market noise and identify clearer trend reversals. Overbought/Oversold Filter: Signals are only triggered when the RSI has been in an overbought (above 70) or oversold (below 30) condition, improving the reliability of potential trend reversals. Buy/Sell Signals: Buy signals occur when the RSI crosses above its SMA after being oversold, indicating potential upward momentum. Sell signals occur when the RSI crosses below its SMA after being overbought, indicating potential downward momentum. Customizable Label Colors: Choose your own colors for the "BUY" and "SELL" labels to match your chart's design and preferences. Alerts: Set alerts for buy and sell signals, ensuring you don't miss a potential trade. This indicator is ideal for traders who want to capture trend reversals and momentum shifts while filtering out false signals by using overbought and oversold conditions. Customize the settings to suit your trading style and strategy.
Pine Script® indicator
by TypeGuyNZ
5
Arena-Hub-DC-Strategy V3.1This script must be individually configured for each cryptocurrency. After monitoring several coins, I’ve realized that each one requires its own unique setup. There's no “one-size-fits-all” — and different timeframes require different configurations as well. ⚠️ Risk management is essential. If you're not familiar with proper risk management, please do not use this script. Make sure to configure your commission and slippage settings appropriately, as these are critical for realistic backtesting results. The Stop Loss and Take Profit levels are not automated — they must be adjusted by the user. This script is not a financial advisor. It won't make risk or profit-related decisions for you. It's a tool designed to help identify potential entries, trends, and exit opportunities — but all final decisions must be made by the trader. The default settings are only examples. You’ll need to customize them for each crypto asset and timeframe to make the strategy truly work for your style and market conditions. The script evaluates: The positioning of two RSIs relative to each other Their alignment with a customizable RSI-EMA The values of EMAs and the ATR (volatility) A custom weighting system using ADR and VOLUME, which strongly affects trade signals. The weights can be adjusted in 0.1 increments, and even small changes can have a big impact — so fine-tuning is important! These indicators were chosen because they complement each other: RSI and its EMA help identify momentum shifts ATR gauges volatility to confirm market conditions ADR and VOLUME help filter weak signals and fine-tune entries and exits 🔍 Important: Only use this script if you understand how RSI, EMA, ATR, ADR, and VOLUME indicators work, and are comfortable making your own trading decisions. The backtest results are based on historical data — the script cannot see the future, not even guess it. Please use it responsibly. This script is an advanced trend-following strategy that dynamically combines RSI, SMA, EMA, ATR, ADX, and volume indicators using a unique weighting and filtering mechanism. Instead of simply combining traditional indicators, it applies them in a unique way: ✅ Dual RSI Comparison: The strategy utilizes two RSI indicators, analyzing their relative movement to filter out false signals and provide more precise entry points. ✅ Custom Entry and Exit Rules: EMA crossovers alone do not generate signals; instead, they go through a dynamic RSI filter that takes market volatility into account using ATR and ADX. ✅ Intelligent Trend Identification: Instead of standard moving averages, a uniquely weighted SMA/EMA system is used to assess trend strength and stability. ✅ ATR, ADX & Volume-Based Weighting: The EMA length is dynamically adjusted based on ATR, ADX, and volume, allowing moving averages to react faster in strong trends while smoothing out in choppy markets. Advanced Dynamic EMA Zone This is not your typical EMA indicator. It's an enhanced, dynamically adaptive trend zone that: ✅ Applies gradient shading – The zone between EMAs is divided into four layers, highlighting trend strength through smooth color transitions. ✅ Visualizes trend intensity – The strongest trends appear in the darkest shades, while weaker moves fade into lighter tones. ✅ Brings moving averages to life – Instead of static lines, it creates a visually intuitive trend channel. ✅ Differentiates bullish & bearish phases – The cloud fades from dark green to light green during an uptrend and from dark red to light red in a downtrend. ✅ Filters out market noise – Weakening trends appear more transparent, instantly revealing when momentum starts to fade. ✅ Enhances decision-making – Crossovers alone are not trading signals, but the visual representation helps identify market conditions at a glance. ➡️ What makes it unique? Traditional moving average indicators rely on basic lines, but this is a full-fledged trend visualization system, helping traders filter noise and better understand price momentum. 🔄 Improved Custom EMA Smoothing Control We’ve enhanced the weighting factor input for better user control! Previously, the EMA smoothing factor (ema1_smooth_factor) had a fixed step size that limited precision. Now, users can fine-tune it in 0.1 increments for greater flexibility. ✅ What’s new? More precise control over EMA smoothing with adjustable step size (step=0.1). Better adaptability to different market conditions. Smoother trend visualization for traders who prefer fine-tuned settings. This update ensures our custom EMA visualization remains superior to standard indicators. 🎯🔥
Pine Script® strategy
by Katsumi-Nohara
Trap Zone 2 minTrap Zone 2 Min — Visual Detection of Trap and Expansion Zones This indicator is designed to clearly identify key price zones on lower timeframes, particularly the 2-minute chart. It's ideal for scalpers and intraday traders looking for structured, high-probability setups. Trap Zone (No Trade Zone) A central shaded area where trading is discouraged. Marks potential liquidity traps or manipulation zones. Calculated using recent highs, lows, and moving averages (MA20 and MA200). Zones + and - Positioned two times the size of an EB (Elephant Bar) above and below the trap zone. Represent the first expansion level. Useful for identifying potential long or short entries based on price breakout direction. Zones ++ and -- Extend from the first + or - level to the next line outward. Represent a second expansion layer, often aligning with price continuation or reaction zones. Helpful for profit-taking or adjusting risk. Zones +++ and --- The most extreme levels plotted. Serve as final take-profit areas or potential reversal zones. Additional Features Optional display of MA20 and MA200. Configurable ADR (Average Daily Range) labels. Full visual customization for better chart integration. Best For Scalpers and intraday traders. Identifying and reacting to structured market zones. Mapping price expansions and potential reversal points.
Pine Script® indicator
by manueldelcura1
Gabriel's Price Action Strategy🧠 Gabriel's Price Action Strategy — Smart Signal Sequence with Dynamic Risk Control Created by: OneWallStreetQuant Strategy Type: Momentum-based Sequence Logic + Smart Volume & RSI Filters Ideal For: Intraday scalping, swing trading, and momentum trend entries on stocks, forex, crypto, indices. 🚀 Overview Gabriel's Price Action Strategy is a multi-layered, logic-driven trading system that combines: ✅ Candle Sequence Detection: Detects persistent bullish/bearish momentum using a smart configurable sequence of green/red candles. ✅ Structure Break Filtering: Prevents entries if recent price invalidates the momentum setup (e.g., a red candle breaks a bullish low). ✅ Custom Volume Engine: Integrates a hybrid tick-volume model using Negative/Positive Volume Index (NVI-PVI) to identify smart money flows. ✅ Advanced RSI Logic: Uses Jurik RSX for accurate oversold/overbought filtering. ✅ Optional MTF Trend Filter: Validates trend direction using a slope-based Jurik MA on higher timeframes. ✅ MPT-Based DMI Filter: Adds pyramid entries only during strong trend phases, based on Gain/Pain ratios and Ulcer-index smoothed ADX. ✅ Risk Management: ATR-based SL/TP and fully customizable trailing logic for both profit and stop-loss. 📈 Entry Logic Trades are triggered only when: A minimum number of recent candles are bullish/bearish (Min Green/Red Candles) Structure has not been broken by opposite price action (optional) Relative volume exceeds average (optional) RSI is below overbought or above oversold (optional) MTF slope is aligned with trend direction (optional) 💡 Key Features Custom Candle Logic: Detects momentum shifts using a tunable lookback window (up to 50 bars). Smart Volume Filtering: Volume is intelligently estimated using tick-based ranges and NVI-PVI deltas. Risk Management Built-in: Set your ATR length, SL/TP multipliers, and dynamic trailing offsets with full control. Scorecard System: A built-in scoring engine evaluates Win Rate, Drawdown, Sharpe Ratio, Recovery Factor, and Profit Factor — visualized on chart as a label. Backtest-Friendly: Includes date range toggles, bar-magnifier support, and optimized execution on every tick. 📊 Strategy Scorecard (Label) Automatically calculates: ✅ Total Trades ✅ Win Rate (%) ✅ Net Profit ✅ Profit Factor ✅ Expected Payoff ✅ Max & Avg Drawdown ✅ Recovery Factor ✅ Sharpe Ratio ✅ VaR (95%) Plus, assigns a normalized score from 0 to 100 for evaluating overall robustness. ⚙️ Customization Every module — from entry filters to pyramiding and trailing logic — is fully configurable: Volume Filters ✅ RSI Filters ✅ Structure Break Checks ✅ HTF Jurik MA & Slope Threshold ✅ Multi-Timeframe Mode ✅ Backtest Score Visualization ✅ ⚠️ Notes Enable bar magnifier and calc on every tick for best accuracy. On early bars, signal logic may delay until enough candles are available. Best paired with assets showing directional volatility (SPY, BTC, ETH, Gold, etc.). Ideally paired on trending timeframes such as M1, M5, M15, M30, 1HR, 4 Hourly, Daily, Weekly, Monthly, etc.
Pine Script® strategy
by OneWallStreetQuant
1
ScalpSwing Pro SetupScript Overview This script is a multi-tool setup designed for both scalping (1m–5m) and swing trading (1H–4H–Daily). It combines the power of trend-following , momentum , and mean-reversion tools: What’s Included in the Script 1. EMA Indicators (20, 50, 200) - EMA 20 (blue) : Short-term trend - EMA 50 (orange) : Medium-term trend - EMA 200 (red) : Long-term trend - Use: - EMA 20 crossing above 50 → bullish trend - EMA 20 crossing below 50 → bearish trend - Price above 200 EMA = uptrend bias 2. VWAP (Volume Weighted Average Price) - Shows the average price weighted by volume - Best used in intraday (1m to 15m timeframes) - Use: - Price bouncing from VWAP = reversion trade - Price far from VWAP = likely pullback incoming 3. RSI (14) + Key Levels - Shows momentum and overbought/oversold zones - Levels: - 70 = Overbought (potential sell) - 30 = Oversold (potential buy) - 50 = Trend confirmation - Use: - RSI 30–50 in uptrend = dip buying zone - RSI 70–50 in downtrend = pullback selling zone 4. MACD Crossovers - Standard MACD with histogram & cross alerts - Shows trend momentum shifts - Green triangle = Bullish MACD crossover - Red triangle = Bearish MACD crossover - Use: - Confirm swing trades with MACD crossover - Combine with RSI divergence 5. Buy & Sell Signal Logic BUY SIGNAL triggers when: - EMA 20 crosses above EMA 50 - RSI is between 50 and 70 (momentum bullish, not overbought) SELL SIGNAL triggers when: - EMA 20 crosses below EMA 50 - RSI is between 30 and 50 (bearish momentum, not oversold) These signals appear as: - BUY : Green label below the candle - SELL : Red label above the candle How to Trade with It For Scalping (1m–5m) : - Focus on EMA crosses near VWAP - Confirm with RSI between 50–70 (buy) or 50–30 (sell) - Use MACD triangle as added confluence For Swing (1H–4H–Daily) : - Look for EMA 20–50 cross + price above EMA 200 - Confirm trend with MACD and RSI - Trade breakout or pullback depending on structure
Pine Script® indicator
by MarketTipsy
Uptrick: Stellar NexusOverview Uptrick: Stellar Nexus is a multi-layered chart tool designed to help traders visualize market behavior with enhanced clarity and depth. It presents various overlays, signal triggers, and an asset-level behavioral table in one cohesive interface. Its core focus is to illustrate how different market states shift over time. By displaying directional structures, dynamic zones, momentum shifts, and a real-time probability assessment of multiple assets, it aims to deliver a comprehensive perspective for those looking to navigate complex market environments more confidently. Purpose The primary purpose of Stellar Nexus is to unify several market assessment methods into a single framework, sparing users the need to rely on multiple disjointed indicators. It is especially useful for traders who value having layered signals, interactive overlays, and a quick reference to asset-specific metrics within one tool. By consolidating multiple market insights, the script aspires to reduce guesswork, limit information overload, and present clear triggers for potential trade opportunities or risk management decisions. Originality Stellar Nexus stands out because it relies on a proprietary set of logic layers, each carefully designed to detect nuanced shifts in price movement. The script brings forward a streamlined depiction of underlying market changes through color-coded zones, shape markers, and short textual tags. Its architecture also accommodates multiple “modes” of viewing the market—be it through layered cloud structures, trend ribbons, or step-based overlays—so traders can adapt its outputs to match changing conditions. The presence of a specialized probability table and a real-time market state meter (HUD Meter) further underscores its uniqueness, providing at-a-glance scoring for various instruments and a gauge that visually displays ongoing transitions from trending to ranging phases. Inputs Stellar Nexus includes several user-configurable settings, organized into themed groups. Each input subtly modifies how information is derived or rendered on the chart: General Silken Veil (integer input) : Governs how smooth or responsive various underlying signals will appear. Canvas (dropdown) : Chooses the primary visual overlay style among Nebula Trail, Velora, or Stellar Stepfilter. Signals (dropdown) : Selects which built-in signal engine (Fluxor or Flowgen) is responsible for painting buy and sell markers. Nova Tension (integer input) : Influences the internal motion sensitivity used by certain triggers. Astral Ribbon (integer input) : Imparts a broader directional bias layer that can highlight whether the current environment is bullish or bearish. Bands Phase Delay (integer input) : Impacts baseline offsets for certain dynamic band calculations. Band Softener (float input) : Creates a blended baseline, balancing two distinct smoothing techniques. Spread Factor (float input) : Scales how wide or narrow the generated envelope bands become. Layer Offset (float input) : Adjusts spacing between multiple layered boundaries in the band structure. Smooth Mode (dropdown boolean) : Toggles an extra layer of smoothing on or off for the plotted envelopes. Feed Matrix Burst (integer input) : Adjusts how the Flowgen engine interprets momentum buildup. Higher values generally lead to more conservative signals. Delta Curve Sync (integer input) : Alters the sensitivity of directional alignment within the Flowgen system, refining how quickly the script adapts to market slope changes. Lambda Pulse Shift (integer input) : Controls timing offsets within the Flowgen structure, subtly influencing the trigger timing of transitions. Sync Drift Limit (integer input) : Provides a stabilizing effect on the internal motion detection engine, helping reduce erratic behavior during choppy conditions. WMA Open Filter Tunnel (integer input) : Filters signal validity by applying a dynamic range check on opening price structures, reducing false positives in unstable markets. Probability Table Show Predictability Table (boolean) : Enables or disables a table of asset metrics. Show Numeric Values (boolean) : Switches between displaying numeric values and using simple directional markers in the table cells. Stepfilter Sensitivity (dropdown) : Offers a range of speed profiles (Very Fast to Very Slow and TURTLE option) that define how quickly or slowly the step-based overlay reacts to price changes. HUD Meter Show Stellar HUD Meter (boolean) : Turns on or off a specialized gauge for quick insight into trending vs. ranging conditions. Take Profit Signals Show TP Signals (boolean) : Determines whether exit or take-profit markers are displayed after certain conditions have been met. Phase Length (integer input) : Influences the internal baseline used for the exit signal logic. Sync Channel (integer input) : Sets a period within which different data points are compared or synced. Filter (integer input) : Imposes an additional smoothing on exit-related cues. Features Signals (Fluxor and Flowgen) Fluxor Logic: Fluxor focuses on detecting specific price transitions, validating them against an internal directional and momentum layer, and then confirming the move based on the script’s overarching market bias. Visual Representation: When Fluxor is activated, up and down label markers (“▲+” or “▼+”) appear at points the system regards as noteworthy transitions. These do not guarantee trades but are designed to guide users on when buying or selling pressure may have intensified or reversed. How It Helps: Fluxor is streamlined for those who want simpler, clearer triggers that factor in both trend alignment and short-term motion shifts. This option is more for mean reversion traders. Flowgen Logic: Flowgen employs a slightly more sophisticated approach that evaluates multiple “environmental layers,” including structural alignment, directional slope checks, and distinct open-state filters. Visual Representation: When Flowgen senses a valid transition, it prints discrete up and down markers, much like Fluxor, but triggered by different, multi-layer considerations. How It Helps: Flowgen caters to traders who desire more emphasis on layered agreement—where multiple aspects of the market must line up before a signal is shown. This option is more for trend following traders. Overlays (Nebula Trail, Velora, Stellar Stepfilter) Nebula Trail Purpose: This indicator employs dynamic, color-coded bands around price action to illustrate prevailing market bias and track which side—bulls or bears—wields greater influence, aligning with a trend-following approach. Usage: This indicator creates outer and inner “band” regions that can function as potential support or resistance in alignment with market momentum. In bullish phases, the cloud below price acts as a supportive barrier, whereas during bearish conditions, the cloud above price provides a point of resistance. When a bearish signal is detected, traders may enter short positions on a price bounce off this band and then exit when subsequent take-profit cues appear, effectively leveraging the band for both entry and exit strategies. Velora Purpose: Extends the concept of band visualization into layered “tiers,” giving a more fine-grained view of how price transitions from one band to another. Representation: Zones are subdivided into multiple steps, each with distinct shading. As the script’s internal logic detects shifts between bullish or bearish conditions, these layered bands expand or contract to reflect changing momentum. Usage: Velora subdivides zones into multiple steps, each featuring distinct shading. As the script's internal logic detects shifts between bullish or bearish conditions, these layered bands expand or contract, signaling changes in momentum. When price enters the upper band, especially if the HUD meter shows less definitive momentum, it may hint at a non-trending environment; conversely, in a bearish scenario, the lower band can act as potential support. Narrower bands often point to an impending breakout, while wider bands can suggest a possible reversion in price. Velora is well-suited for traders wanting to see more intermediate zones where the market may hesitate or show partial confirmation—ideal for refined entries or exits. Smooth: Choppy: Stellar Stepfilter Purpose: Focuses on a persistent directional line that only updates when the script’s logic deems a genuine shift is taking place. Representation: A single line plots on the chart to represent the “locked” direction. During periods of noise or indecision, this line may remain static, reducing false signals. Optionally, bars can be recolored to reflect bullish or bearish states. Usage: Traders who prefer a minimalistic, stand-back approach often select Stellar Stepfilter for its ability to filter out choppy conditions and highlight clearer momentum strides. When the line remains flat—particularly in the very slow or “turtle” mode—it signals a ranging market, offering valuable insight into periods of reduced volatility. In TURTLE mode, bars are recolored green or orange to reflect locked trend direction more visibly. TURTLE mode offers the most conservative setting within the Stepfilter engine, emphasizing stability and clarity by reacting only to the strongest directional conditions and visually reinforcing its state through bar coloring. Very Fast Very Slow TURTLE Mode Probability Table Description: The Probability Table is displayed on the top-right corner (by default). It automatically fetches data for a handful of assets (in this case, five popular cryptocurrencies), then scores each asset on multiple behavioral metrics. By default, the Probability Table monitors SOL, BTC, ETH, BNB, and XRP from Binance. Metrics Explained: HV: Suggests how the asset’s price is fluctuating relative to a standard reference. ATR/Vol: A ratio that provides insight into volatility compared to trading activity. WBR: Compares candle wicks against their bodies to gauge the frequency of price swings outside an open-close range. Liq Clust: Indicates if there are pockets of stable or unstable liquidity. Momentum: Observes shifts in buying or selling pressure. PRI: Shows a baseline measure of how far price has deviated from a certain average over time. Final Verdict: Based on each metric’s reading, an overall classification emerges: Predictable, Moderate, or Chaotic. How It Helps: Traders can quickly scan this table to see if an asset’s environment is “Predictable” (potentially more structured), “Moderate” (balanced or transitional), or “Chaotic” (unstable and riskier). Each cell can optionally show either numeric approximations or simple “up/down” arrows to reduce clutter. Non Numeric Values Numeric Values Stellar HUD Meter Description: Located at the top center of the chart, this horizontal gauge toggles between “Trending” and “Ranging,” representing how firmly price is locked in directional expansion versus sideways hesitation. Mechanics (General): The gauge increments or decrements over time, smoothing out abrupt shifts. A pointer slides across the meter, indicating whether conditions are leaning more toward persistent momentum or uncertain, choppy movement. How It Helps: This immediate visual feedback helps traders decide if momentum strategies or mean-reversion approaches are more suitable at a given moment, avoiding reliance on guesswork alone. Take Profit Signals Description: After any buy or sell trigger occurs (either through Fluxor or Flowgen), the script can flag up to three potential exit points. Trigger Logic (General): These exits appear when certain internal checks sense that short-term upside or downside pressure may be waning. Representation: Small markers (“X”) appear near the top or bottom of the candle. How It Helps: Rather than passively holding a position, these optional signals remind traders of possible exhaustion points. If they choose to follow them, it can help secure partial or full profits during a trend. Why more than one indicator? Having more than one internal indicator engine allows Stellar Nexus to adapt to different market behaviors and personal trading styles. Sometimes traders require swift, high-frequency triggers (Fluxor). Other times, they prefer more layered agreement before taking a position (Flowgen). Similarly, each overlay—Nebula Trail, Velora, and Stellar Stepfilter—offers a distinct method for visualizing price action. Markets are dynamic, and no single representation is ideal for all conditions. By blending multiple approaches into one script, Stellar Nexus provides flexibility: a user can switch between sets of signals or overlays based on market phase, personal risk preference, or the timeframe being traded. Additional Features Alert System: Built-in alerts for every trigger or state change ensure that traders can receive real-time notifications, even when away from the chart. The alert system includes buy/sell triggers, trend shifts, overlay transitions, take-profit points, and predictability status changes across monitored assets. Selective Visibility: Users can enable or disable various modules—Probability Table, HUD Meter, Take Profit Signals—to keep their chart interface uncluttered. State Persistence: Certain modules “lock in” their reading until a strong reason emerges to change it, which can help minimize false flips in volatile conditions. Tailored Aesthetics: Color choices and label styling are curated to be visually distinct, reducing confusion when multiple signals or overlays occur simultaneously. Conclusion Uptrick: Stellar Nexus is a comprehensive, multi-layer script that merges aesthetic clarity with functional depth. It combines diverse overlays, signal engines, probability analyses, and a heads-up market meter into one cohesive tool. By handling trending vs. ranging states, evaluating asset predictability, and offering selective take-profit cues, it serves as a versatile companion for traders who want organized, visually intuitive guidance. Its originality is found not only in how it disguises internal computations, but in the ease with which users can cycle through different overlays and signals to suit changing market conditions. As always, personal due diligence, market awareness, and risk management remain essential. Stellar Nexus simply provides a refined canvas on which to read and interpret price action more confidently. Disclaimer This indicator is provided solely for informational and educational purposes. It does not constitute investment advice or a recommendation to engage in any trading activities. Trading and investing in financial markets involve significant risk, and past performance is not indicative of future results. Always conduct your own research, utilize proper risk management, and consider consulting a qualified financial professional before making any investment decisions. Neither the creator nor any contributors to this script accept any liability for financial losses or damages arising from its use. Users of this indicator assume full responsibility for their trading activities.
Pine Script® indicator
by Uptrick
2
RSI in pane and 3 EMAs on chartCustom RSI in Pane + 3 EMAs on Chart — with Optional RSI Divergence Detection Combines RSI in a separate pane with 3 EMAs on the chart and optional RSI-based divergence detection. Useful for analyzing both momentum and trend structure. Features RSI Pane Custom RSI calculation (not built-in ta.rsi) with adjustable source and length Overlay optional moving average (SMA, EMA, SMMA/RMA, WMA, VWMA, or Bollinger Bands) Overbought/oversold gradient fill for visual clarity (70 / 30 zones) Midline (50) for neutral RSI territory RSI Divergence Detection Optional: toggle on/off with one input Regular Bullish Divergence : Price makes a lower low, RSI makes a higher low Regular Bearish Divergence : Price makes a higher high, RSI makes a lower high Customizable lookback for pivot detection Visual markers and labels plotted on RSI Built-in alert conditions for both divergence types 3 EMA Trend Indicators on Price Chart Three customizable EMAs (default: 20, 50, 200) Color-coded and clearly plotted on main chart Use to determine short/mid/long-term trend bias No repainting or smoothing artifacts Why use this script? Gives a full view of trend + momentum without cluttering the main price chart, and it helps confirm entries and exits by observing RSI behavior alongside EMAs. The optional divergence detection can act as a signal for potential exhaustion or reversal (not entry signals on their own). It is a Good fit for traders who use RSI zones, divergences, and EMA structure in their decision-making, both for intra-day and swing trades (where it performs best). How to use Add this script to your chart. EMAs will appear on the main price chart; RSI and divergence will appear in a separate pane. Adjust RSI and MA settings to fit your trading style (e.g., fast RSI for scalping, slower for swing) Enable "Show Divergence" if you want visual alerts and markers Use alerts to get notified when a divergence occurs without watching the chart Always check the divergences on different time frames to validate the setup, and do not consider them valid on small time frames (<15 minutes). Built for traders who want both momentum and trend context in a single tool — without clutter, repainting, or noise. I created this script to streamline my own analysis and avoid switching between multiple indicators. It's not meant to be a "signal generator" but a visual assistant for making better decisions. If you find it useful or have feedback, feel free to reach out.
Pine Script® indicator
by danielesala1986
Win-Loss Streak PlotterWin-Loss Streak Plotter This indicator tracks the win/loss streaks of moving average crossovers (using simple moving averages for illustration purposes). It calculates the price change after each crossover, marking each as a win (green) or loss (red). The win rate is shown separately. Inputs: Source: Price series (default: open) Fast MA: Fast moving average (default: open) Slow MA: Slow moving average (default: open) Total Crosses to Analyze: Number of crossovers to track Crosses per Row: Number of crossovers per row in the table Output: A table displays each crossover’s result (win/loss). A separate win rate table shows the percentage of wins. Suggestions are always welcomed!
Pine Script® indicator
by Pro_Quantitative_Trader
Thunderbird Volcano & Waterfall SignalsThe Thunderbird Volcano & Waterfall signal Indicator is a strategy that incorporates the use of Price Action and TRAMA positioning to determine entry and exit points. There are 3 scenarios in which the indicator will signal an entry and exit if applicable. Keep in mind the suggested entry and exit points must be taken as consideration; further confirmations such as TRAMA pointing down or up, market structure, IFVG, etc. should be used in order for a successful trade. Scenario 1 (SHORT) is the Thunderbird Volcano setup, TRAMA alignment is in accordance with the Volcano setup; A red arrow above will indicate entry when a candle closes below the 20T and a red cross will indicate the potential target at the 200T. Scenario 2 (SHORT) is the Thunderbird Waterfall setup, TRAMA alignment is in accordance with the Waterfall setup; A blue arrow above will indicate entry when a candle closes below all 3 TRAMAs after corresponding position is established. Target is not indicated and can vary according to user specification. Scenario 3 (LONG) is the Inverse Volcano setup, TRAMA alignment is in accordance with the Inverse Volcano setup. A green arrow will indicate entry below when a candle closes above the 20T and a green cross will indicate the potential target at the 200T.
Pine Script® indicator
by marvinfm
ES1! vs ZB1! Exponentially Weighted CorrelationES1! vs ZB1! Exponentially Weighted Correlation This indicator calculates and visualizes the exponentially weighted correlation between the S&P 500 E-mini futures (ES1!) and the 30-Year U.S. Treasury Bond futures (ZB1!) over a user-defined lookback period. By using an exponential moving average (EMA) approach, it emphasizes recent price movements, providing a dynamic view of the relationship between these two key financial instruments. Features: - Customizable Inputs: Adjust the lookback length (default: 60) and alpha (default: 0.1) to fine-tune the sensitivity of the correlation calculation. - Exponentially Weighted Correlation: Measures the strength and direction of the relationship between ES1! and ZB1! prices, with more weight given to recent data. - Visual Clarity: Displays correlation as colored bars (green for positive, red for negative) for quick interpretation, with reference lines at 0, +1, and -1 for context. - Non-Overlay Design: Plotted in a separate panel below the chart to avoid cluttering price data. How It Works: The indicator fetches closing prices for ES1! and ZB1!, applies an EMA to smooth the data, and computes the exponentially weighted covariance and variances. The correlation is then derived and plotted as a histogram, helping traders identify whether the two markets are moving together (positive correlation), in opposite directions (negative correlation), or independently. Use Cases: - Market Analysis: Gauge the relationship between equity and bond markets to inform trading strategies. - Risk Management: Monitor correlation shifts to adjust portfolio exposure. - Intermarket Insights: Identify trends or divergences in the stock-bond dynamic for macroeconomic analysis. Ideal for traders and analysts tracking intermarket relationships, this indicator offers a clear, responsive tool for understanding ES1! and ZB1! correlation in real-time.
Pine Script® indicator
by coffee-man
Average Body RangeThe Average Body Range (ABR) indicator calculates the average size of a candle's real body over a specified period. Unlike the traditional Average Daily Range (ADR), which measures the full range from high to low, the ABR focuses solely on the absolute difference between the open and close of each bar. This provides insight into market momentum and trading activity by reflecting how much price is actually moving from open to close , not just in total. This indicator is especially useful for identifying: Periods of strong directional movement (larger body sizes) Low-volatility or indecisive markets (smaller body sizes) Changes in trend conviction or momentum Customization: Length: Number of bars used to compute the average (default: 14) Use ABR to enhance your understanding of price behavior and better time entries or exits based on market strength.
Pine Script® indicator
by sachdevaneil
1
Moving Average Shift WaveTrend StrategyMoving Average Shift WaveTrend Strategy 🧭 Overview The Moving Average Shift WaveTrend Strategy is a trend-following and momentum-based trading system designed to be overlayed on TradingView charts. It executes trades based on the confluence of multiple technical conditions—volatility, session timing, trend direction, and oscillator momentum—to deliver logical and systematic trade entries and exits. 🎯 Strategy Objectives Enter trades aligned with the prevailing long-term trend Exit trades on confirmed momentum reversals Avoid false signals using session timing and volatility filters Apply structured risk management with automatic TP, SL, and trailing stops ⚙️ Key Features Selectable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA Dual-filter logic using a custom oscillator and moving averages Session and volatility filters to eliminate low-quality setups Trailing stop, configurable Take Profit / Stop Loss logic “In-wave flag” prevents overtrading within the same trend wave Visual clarity with color-shifting candles and entry/exit markers 📈 Trading Rules ✅ Long Entry Conditions: Price is above the selected MA Oscillator is positive and rising 200-period EMA indicates an uptrend ATR exceeds its median value (sufficient volatility) Entry occurs between 09:00–17:00 (exchange time) Not currently in an active wave 🔻 Short Entry Conditions: Price is below the selected MA Oscillator is negative and falling 200-period EMA indicates a downtrend All other long-entry conditions are inverted ❌ Exit Conditions: Take Profit or Stop Loss is hit Opposing signals from oscillator and MA Trailing stop is triggered 🛡️ Risk Management Parameters Pair: ETH/USD Timeframe: 4H Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pips Risk per Trade: 2% of account equity (adjustable) Total Trades: 224 Backtest Period: May 24, 2016 — April 7, 2025 Note: Risk parameters are fully customizable to suit your trading style and broker conditions. 🔧 Trading Parameters & Filters Time Filter: Trades allowed only between 09:00–17:00 (exchange time) Volatility Filter: ATR must be above its median value Trend Filter: Long-term 200-period EMA 📊 Technical Settings Moving Average Type: SMA Length: 40 Source: hl2 Oscillator Length: 15 Threshold: 0.5 Risk Management Take Profit: 1.5% Stop Loss: 1.0% Trailing Stop: 1.0% 👁️ Visual Support MA and oscillator color changes indicate directional bias Clear chart markers show entry and exit points Trailing stops and risk controls are transparently managed 🚀 Strategy Improvements & Uniqueness In-wave flag avoids repeated entries within the same trend phase Filtering based on time, volatility, and trend ensures higher-quality trades Dynamic high/low tracking allows precise trailing stop placement Fully rule-based execution reduces emotional decision-making 💡 Inspirations & Attribution This strategy is inspired by the excellent concept from: ChartPrime – “Moving Average Shift” It expands on the original idea with advanced trade filters and trailing logic. Source reference: 📌 Summary The Moving Average Shift WaveTrend Strategy offers a rule-based, reliable approach to trend trading. By combining trend and momentum filters with robust risk controls, it provides a consistent framework suitable for various market conditions and trading styles. ⚠️ Disclaimer This script is for educational purposes only. Trading involves risk. Always use proper backtesting and risk evaluation before applying in live markets.
Pine Script® strategy
by PakunFX
EMA & MA Crossover StrategyGuys, you asked, we did. Strategy for crossing moving averages . The Moving Average Crossover trading strategy is possibly the most popular trading strategy in the world of trading. First of them were written in the middle of XX century, when commodities trading strategies became popular. This strategy is a good example of so-called traditional strategies. Traditional strategies are always long or short. That means they are never out of the market. The concept of having a strategy that is always long or short may be scary, particularly in today’s market where you don’t know what is going to happen as far as risk on any one market. But a lot of traders believe that the concept is still valid, especially for those of traders who do their own research or their own discretionary trading. This version uses crossover of moving average and its exponential moving average. Strategy parameters: Take Profit % - when it receives the opposite signal Stop Loss % - when it receives the opposite signal Current Backtest: Account: 1000$ Trading size: 0.01 Commission: 0.05% WARNING: - For purpose educate only - This script to change bars colors.
Pine Script® strategy
by HPotter
5