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Weekly Covered Calls Strategy with IV & Delta LogicWhat Does the Indicator Do? this is interactive you must use it with your options chain to input data based on the contract you want to trade. Visualize three strike price levels for covered calls based on: Aggressive (closest to price, riskier). Moderate (mid-range, balanced). Low Delta (farthest, safer). Incorporate Implied Volatility (IV) from the options chain to make strike predictions more realistic and aligned with market sentiment. Adjust the risk tolerance by modifying Delta inputs and IV values. Risk is defined for example .30 delta means 30% chance of your shares being assigned. If you want to generate steady income with your shares you might want to lower the risk of them being assigned to .05 or 5% etc. How to Use the Indicator with the Options Chain Start with the Options Chain: Look for the following data points from your options chain: Implied Volatility (IV Mid): Average IV for a particular strike price. Delta: ~0.30 Delta: Closest strike (Aggressive). ~0.15–0.20 Delta: Mid-range strike (Moderate). ~0.05–0.10 Delta: Far OTM, safer (Low Delta). Strike Price: Identify strike prices for the desired Deltas. Open Interest: Check liquidity; higher OI ensures tighter spreads. Input IV into the Indicator: Enter the IV Mid value (e.g., 0.70 for 70%) from the options chain into the Implied Volatility field of the indicator. Adjust Delta Inputs Based on Risk Tolerance: Aggressive Delta: Increase if you want strikes closer to the current price (riskier, higher premium). Default: 0.2 (20% chance of shares being assigned). Moderate Delta: Balanced risk/reward. Default: 0.12 (12%) Low Delta: Decrease for safer, farther OTM strikes. Default: 0.05 (5%) Visualize the Chart: Once inputs are updated: Red Line: Aggressive Strike (closest, riskiest, higher premium). Blue Line: Moderate Strike (mid-range). Green Line: Low Delta Strike (farthest, safer). Step-by-Step Workflow Example Open the options chain and note: Implied Volatility (IV Mid): Example 71.5% → input as 0.715. Delta for desired strikes: Aggressive: 0.30 Delta → Closest strike ~ $455. Moderate: 0.15 Delta → Mid-range strike ~ $470. Low Delta: 0.05 Delta → Farther strike ~ $505. Open the indicator and adjust: IV Mid: Enter 0.715. Aggressive Delta: Leave at 0.12 (or adjust to bring strikes closer). Moderate Delta: Leave at 0.18. Low Delta: Adjust to 0.25 for safer, farther strikes. View the chart: Compare the indicator's strikes (red, blue, green) with actual options chain strikes. Use the visualization to: Validate the risk/reward for each strike. Align strikes with technical trends, support/resistance. Adjusting Inputs Based on Risk Tolerance Higher Risk: Increase Aggressive Delta (e.g., 0.15) for closer strikes. Use higher IV values for volatile stocks. Moderate Risk: Use default values (0.12–0.18 Delta). Balance premiums and probability. Lower Risk: Increase Low Delta (e.g., 0.30) for farther, safer strikes. Focus on higher IV stocks with good open interest. Key Benefits Simplifies Strike Selection: Visualizes the three risk levels directly on the chart. Aligns with Market Sentiment: Incorporates IV for realistic forecasts. Customizable for Risk: Adjust inputs to match personal risk tolerance. By combining the options chain (IV, Delta, and liquidity) with the technical chart, you get a powerful, visually intuitive tool for covered call strategies.
Pine Script®指標
由renderingnature1提供
1
Weekly COTAdjusted COT Index Improves upon: "COT Index Commercials vs large and small Speculators" by SystematicFutures How: CoT Indexes are adjusted by Open Interest to normalise data over time, and threshold background colours are in-line with Larry Williams recommendations from his book. Note: This indicator is **only** accurate on the Daily time-frame due to the mid-week release date for CoT data. This script calculates and plots the Adjusted Commitment of Traders (COT) Index for Commercial, Large Speculator, and Retail (Small Speculator) categories. The CoT Index is adjusted by Open Interest to normalise data through time, following the methodology of Larry Williams, providing insights into how these groups are positioned in the market with an arguably more historically accurate context. COT Categories ------------------- - Commercials (Producers/Hedgers): Large entities hedging against price changes in the underlying asset. - Large Speculators (Non-commercials): Professional traders and funds speculating on price movements. - Retail Traders (Nonreportable/Small Speculators): Small individual traders, typically less informed. Features ---------- - Open Interest Adjustment - The net positions for each category are normalized by Open Interest to account for varying contract sizes. - Customisable Look-back Period - You can adjust the number of weeks for the index calculation to control the historical range used for comparison. - Thresholds for Extremes - Upper and lower thresholds (configurable) are provided to mark overbought and oversold conditions. - Defaults - Overbought: <=20 - Oversold: >= 80 - Hide Current Week Option - Optionally hide the current week's data until market close for more accurate comparison. - Visual Aids - Plot the Commercials, Large Speculators, and Retail indexes, and optionally highlight extreme positioning. Inputs -------- - weeks - Number of weeks for historical range comparison. - upperExtreme and lowerExtreme - Thresholds to identify overbought/oversold conditions (default 80/20). - hideCurrentWeek - Option to hide current week's data until market close. - markExtremes - Highlight extremes where any index crosses the upper or lower thresholds. - Options to display or hide indexes for Commercials, Large Speculators, and Small Speculators. Outputs ---------- - The script plots the COT Index for each of the three categories and highlights periods of extreme positioning with customisable thresholds. Usage ------- - This tool is useful for traders who want to track the positioning of different market participants over time. - By identifying the extreme positions of Commercials, Large Speculators, and Retail traders, it can give insights into market sentiment and potential reversals. - Reversals of trend can be confirmed with RSI Divergence (daily), for example - Continuation can be confirmed with RSI overbought/oversold conditions (daily), and/or hidden RSI Hidden Divergence, for example
Pine Script®指標
由madungandabas提供
Weekly BoxThe indicator shows a box based on the high and low of the previous week that extends into the current week. The box is used to monitor breakouts or break downs of the price with respect to the previous week levels. The box is colored: - green, if there is a breakout above the previous week high; or - red, if there is a break down below the previous week low; or - yellow, if the price stays inside of the box. during the current week. Labels for the box top and bottom prices can be enabled or disabled in the settings.
Pine Script®指標
由danilogalisteu提供
1
DAYOFWEEK performance1 -Objective "What is the ''best'' day to trade .. Monday, Tuesday...." This script aims to determine if there are different results depending on the day of the week. The way it works is by dividing data by day of the week (Monday, Tuesday, Wednesday ... ) and perform calculations for each day of the week. 1 - Objective 2 - Features 3 - How to use (Examples) 4 - Inputs 5 - Limitations 6 - Notes 7 - Final Tooughs 2 - Features AVG OPEN-CLOSE Calculate de Percentage change from day open to close Green % (O-C) Percentage of days green (open to close) Average Change Absolute day change (O-C) AVG PrevD. Close-Close Percentage change from the previous day close to the day of the week close (Example: Monday (C-C) = Friday Close to Monday close Tuesday (C-C) = Monday C. to Tuesday C. Green % (C1-C) Percentage of days green (open to close) AVG Volume Day of the week Average Volume Notes: *Mon(Nº) - Nº = Number days is currently calculated Example: Monday (12) calculation based on the last 12 Mondays. Note: Discrepancies in numbers example Monday (12) - Friday (11) depend on the initial/end date or the market was closed (Holidays). 3 - How to use (Examples) For the following example, NASDAQ:AAPL from 1 Jan 21 to 1 Jul 21 the results are following. The highest probability of a Close being higher than the Open is Monday with 52.17 % and the Lowest Tuesday with 38.46 %. Meaning that there's a higher chance (for NASDAQ:AAPL ) of closing at a higher value on Monday while the highest chance of closing is lower is Tuesday. With an average gain on Tuesday of 0.21% Long - The best day to buy (long) at open (on average) is Monday with a 52.2% probability of closing higher Short - The best day to sell (short) at open (on average) is Tuesday with a 38.5% probability of closing higher (better chance of closing lower) Since the values change from ticker to ticker, there is a substantial change in the percentages and days of the week. For example let's compare the previous example ( NASDAQ:AAPL ) to NYSE:GM (same settings) For the same period, there is a substantial difference where there is a 62.5% probability Friday to close higher than the open, while Tuesday there is only a 28% probability. With an average gain of 0.59% on Friday and an average loss of -0.34% Also, the size of the table (number of days ) depends if the ticker is traded or not on that day as an example COINBASE:BTCUSD 4 - Inputs DATE RANGE Initial Date - Date from which the script will start the calculation. End Date - Date to which the script will calculate. TABLE SETTINGS Text Color - Color of the displayed text Cell Color - Background color of table cells Header Color - Color of the column and row names Table Location - Change the position where the table is located. Table Size - Changes text size and by consequence the size of the table 5 - LIMITATIONS The code determines average values based on the stored data, therefore, the range (Initial data) is limited to the first bar time. As a consequence the lower the timeframe the shorter the initial date can be and fewer weeks can be calculated. To warn about this limitation there's a warning text that appears in case the initial date exceeds the bar limit. Example with initial date 1 Jan 2021 and end date 18 Jul 2021 in 5m and 10 m timeframe: 6 - Notes and Disclosers The script can be moved around to a new pane if need. -> Object Tree > Right Click Script > Move To > New pane The code has not been tested in higher subscriptions tiers that allow for more bars and as a consequence more data, but as far I can tell, it should work without problems and should be in fact better at lower timeframes since it allows more weeks. The values displayed represent previous data and at no point is guaranteed future values 7 - Final Tooughs This script was quite fun to work on since it analysis behavioral patterns (since from an abstract point a Tuesday is no different than a Thursday), but after analyzing multiple tickers there are some days that tend to close higher than the open. PS: If you find any mistake ex: code/misspelling please comment.
Pine Script®指標
由MA_PT提供
25
Nick_OS RangesUNDERSTANDING THE SCRIPT: TIMEFRAME RESOLUTION: * You have the option to choose Daily , Weekly , or Monthly LOOKBACK WINDOW: * This number represents how far back you want the data to pull from - Example: "250" would represent the past 250 Days, Weeks, or Months depending on what is selected in the Timeframe Resolution RANGE 1 nth (Gray lines): * This number represents the range of the nth biggest day, week, or month in the Lookback Window - Example: "30" would represent the range of the 30th biggest day in the past 250 days. (If the Lookback Window is "250") RANGE 2 nth (Blue lines): * This number represents the range of the nth biggest day, week, or month in the Lookback Window - Example: "10" would represent the range of the 10th biggest day in the past 250 days. (If the Lookback Window is "250") RANGE 3 nth (Pink lines): * This number represents the range of the nth biggest day, week, or month in the Lookback Window - Example: "3" would represent the range of the 3rd biggest day in the past 250 days. (If the Lookback Window is "250") YELLOW LINES: * The yellow lines are the average percentage move of the inputted number in the Lookback Window SUGGESTED INPUTS: FOR DAILY: Lookback Window: 250 Range 1 nth: 30 Range 2 nth: 10 Range 3 nth: 3 FOR WEEKLY: Lookback Window: 50 Range 1 nth: 10 Range 2 nth: 5 Range 3 nth: 2 FOR MONTHLY: Lookback Window: 12 Range 1 nth: 3 Range 2 nth: 2 Range 3 nth: 1 TIMEFRAMES TO USE (If You Have TradingView Premium): Daily: 5 minute timeframe and higher (15 minute timeframe and higher for Futures) Weekly: 15 minute timeframe and higher Monthly: Daily timeframe and higher (Monthly still has issues) TIMEFRAMES TO USE (If You DO NOT Have TradingView Premium): Daily: 15 minute timeframe and higher Weekly: 30 minute timeframe and higher Monthly: Daily timeframe and higher (Monthly still has issues) IMPORTANT RELATED NOTE: If you decide to use a higher Lookback Window, the ranges might be off and the timeframes listed above might not apply ISSUES THAT MIGHT BE RESOLVED IN THE FUTURE 1. If it is a shortened week (No Monday or Friday), then the Weekly Ranges will show the same ranges as last week 2. Monthly ranges will change based on any timeframe used
Pine Script®指標
由NickMaterazzo提供
Composite Time ProfileComposite Time Profile Overlay (CTPO) - Market Profile Compositing Tool Automatically composite multiple time periods to identify key areas of balance and market structure What is the Composite Time Profile Overlay? The Composite Time Profile Overlay (CTPO) is a Pine Script indicator that automatically composites multiple time periods to identify key areas of balance and market structure. It's designed for traders who use market profile concepts and need to quickly identify where price is likely to find support or resistance. The indicator analyzes TPO (Time Price Opportunity) data across different timeframes and merges overlapping profiles to create composite levels that represent the most significant areas of balance. This helps you spot where institutional traders are likely to make decisions based on accumulated price action. Why Use CTPO for Market Profile Trading? Eliminate Manual Compositing Work Instead of manually drawing and compositing profiles across different timeframes, CTPO does this automatically. You get instant access to composite levels without spending time analyzing each individual period. Spot Areas of Balance Quickly The indicator highlights the most significant areas of balance by compositing overlapping profiles. These areas often act as support and resistance levels because they represent where the most trading activity occurred across multiple time periods. Focus on What Matters Rather than getting lost in individual session profiles, CTPO shows you the composite levels that have been validated across multiple timeframes. This helps you focus on the levels that are most likely to hold. How CTPO Works for Market Profile Traders Automatic Profile Compositing CTPO uses a proprietary algorithm that: - Identifies period boundaries based on your selected timeframe (sessions, daily, weekly, monthly, or auto-detection) - Calculates TPO profiles for each period using the C2M (Composite 2 Method) row sizing calculation - Merges overlapping profiles using configurable overlap thresholds (default 50% overlap required) - Updates composite levels as new price action develops in real-time Key Levels for Market Profile Analysis The indicator displays: - Value Area High (VAH) and Value Area Low (VAL) levels calculated from composite TPO data - Point of Control (POC) levels where most trading occurred across all composited periods - Composite zones representing areas of balance with configurable transparency - 1.618 Fibonacci extensions for breakout targets based on composite range Multiple Timeframe Support - Sessions: For intraday market profile analysis - Daily: For swing trading with daily profiles - Weekly: For position trading with weekly structure - Monthly: For long-term market profile analysis - Auto: Automatically selects timeframe based on your chart Trading Applications for Market Profile Users Support and Resistance Trading Use composite levels as dynamic support and resistance zones. These levels often hold because they represent areas where significant trading decisions were made across multiple timeframes. Breakout Trading When composite levels break, they often lead to significant moves. The indicator calculates 1.618 Fibonacci extensions to give you clear targets for breakout trades. Mean Reversion Strategies Value Area levels represent the price range where most trading activity occurred. These levels often act as magnets, drawing price back when it moves too far from the mean. Institutional Level Analysis Composite levels represent areas where institutional traders have made significant decisions. These levels often hold more weight than traditional technical analysis levels because they're based on actual trading activity. Key Features for Market Profile Traders Smart Compositing Logic - Automatic overlap detection using price range intersection algorithms - Configurable overlap thresholds (minimum 50% overlap required for merging) - Dead composite identification (profiles that become engulfed by newer composites) - Real-time updates as new price action develops using barstate.islast optimization Visual Customization - Customizable colors for active, broken, and dead composites - Adjustable transparency levels for each composite state - Premium/Discount zone highlighting based on current price vs composite range - TPO aggression coloring using TPO distribution analysis to identify buying/selling pressure - Fibonacci level extensions with 1.618 target calculations based on composite range Clean Chart Presentation - Only shows the most relevant composite levels (maximum 10 active composites) - Eliminates clutter from individual session profiles - Focuses on areas of balance that matter most to current price action Real-World Trading Examples Day Trading with Session Composites Use session-based composites to identify intraday areas of balance. The VAH and VAL levels often act as natural profit targets and stop-loss levels for scalping strategies. Swing Trading with Daily Composites Daily composites provide excellent swing trading levels. Look for price reactions at composite zones and use the 1.618 extensions for profit targets. Position Trading with Weekly Composites Weekly composites help identify major trend changes and long-term areas of balance. These levels often hold for months or even years. Risk Management Composite levels provide natural stop-loss levels. If a composite level breaks, it often signals a significant shift in market sentiment, making it an ideal place to exit losing positions. Why Composite Levels Work Composite levels work because they represent areas where significant trading decisions were made across multiple timeframes. When price returns to these levels, traders often remember the previous price action and make similar decisions, creating self-fulfilling prophecies. The compositing process uses a proprietary algorithm that ensures only levels validated across multiple time periods are displayed. This means you're looking at levels that have proven their significance through actual market behavior, not just random technical levels. Technical Foundation The indicator uses TPO (Time Price Opportunity) data combined with price action analysis to identify areas of balance. The C2M row sizing method ensures accurate profile calculations, while the overlap detection algorithm (minimum 50% price range intersection) ensures only truly significant composites are displayed. The algorithm calculates row size based on ATR (Average True Range) divided by 10, then converts to tick size for precise level calculations. How the Code Actually Works 1. Period Detection and ATR Calculation The code first determines the appropriate timeframe based on your chart: - 1m-5m charts: Session-based profiles - 15m-2h charts: Daily profiles - 4h charts: Weekly profiles - 1D charts: Monthly profiles For each period type, it calculates the number of bars needed for ATR calculation: - Sessions: 540 minutes divided by chart timeframe - Daily: 1440 minutes divided by chart timeframe - Weekly: 7 days worth of minutes divided by chart timeframe - Monthly: 30 days worth of minutes divided by chart timeframe 2. C2M Row Size Calculation The code calculates True Range for each bar in the determined period: - True Range = max(high-low, |high-prevClose|, |low-prevClose|) - Averages all True Range values to get ATR - Row Size = (ATR / 10) converted to tick size - This ensures each TPO row represents a meaningful price movement 3. TPO Profile Generation For each period, the code: - Creates price levels from lowest to highest price in the range - Each level is separated by the calculated row size - Counts how many bars touch each price level (TPO count) - Finds the level with highest count = Point of Control (POC) - Calculates Value Area by expanding from POC until 68.27% of total TPO blocks are included 4. Overlap Detection Algorithm When a new profile is created, the code checks if it overlaps with existing composites: - Calculates overlap range = min(currentVAH, prevVAH) - max(currentVAL, prevVAL) - Calculates current profile range = currentVAH - currentVAL - Overlap percentage = (overlap range / current profile range) * 100 - If overlap >= 50%, profiles are merged into a composite 5. Composite Merging Logic When profiles overlap, the code creates a new composite by: - Taking the earliest start bar and latest end bar - Using the wider VAH/VAL range (max of both profiles) - Keeping the POC from the profile with more TPO blocks - Marking the composite as "active" until price breaks through 6. Real-Time Updates The code uses barstate.islast to optimize performance: - Only recalculates on the last bar of each period - Updates active composite with live price action if enabled - Cleans up old composites to prevent memory issues - Redraws all visual elements from scratch each bar 7. Visual Rendering System The code uses arrays to manage drawing objects: - Clears all lines/boxes arrays on every bar - Iterates through composites array to redraw everything - Uses different colors for active, broken, and dead composites - Calculates 1.618 Fibonacci extensions for broken composites Getting Started with CTPO Step 1: Choose Your Timeframe Select the period type that matches your trading style: - Use "Sessions" for day trading - Use "Daily" for swing trading - Use "Weekly" for position trading - Use "Auto" to let the indicator choose based on your chart timeframe Step 2: Customize the Display Adjust colors, transparency, and display options to match your charting preferences. The indicator offers extensive customization options to ensure it fits seamlessly into your existing analysis. Step 3: Identify Key Levels Look for: - Composite zones (blue boxes) - major areas of balance - VAH/VAL lines - value area boundaries - POC lines - areas of highest trading activity - 1.618 extension lines - breakout targets Step 4: Develop Your Strategy Use these levels to: - Set entry points near composite zones - Place stop losses beyond composite levels - Take profits at 1.618 extension levels - Identify trend changes when major composites break Perfect for Market Profile Traders If you're already using market profile concepts in your trading, CTPO eliminates the manual work of compositing profiles across different timeframes. Instead of spending time analyzing each individual period, you get instant access to the composite levels that matter most. The indicator's automated compositing process ensures you're always looking at the most relevant areas of balance, while its real-time updates keep you informed of changes as they happen. Whether you're a day trader looking for intraday levels or a position trader analyzing long-term structure, CTPO provides the market profile intelligence you need to succeed. Streamline Your Market Profile Analysis Stop wasting time on manual compositing. Let CTPO do the heavy lifting while you focus on executing profitable trades based on areas of balance that actually matter. Ready to Streamline Your Market Profile Trading? Add the Composite Time Profile Overlay to your charts today and experience the difference that automated profile compositing can make in your trading performance.
Pine Script®指標
由mindyourbuisness提供
OHLCVDataOHLCV Data Power Library Multi-Timeframe Market Data with Mathematical Precision 📌 Overview This Pine Script library provides structured OHLCV (Open, High, Low, Close, Volume) data across multiple timeframes using mathematically significant candle counts (powers of 3). Designed for technical analysts who work with fractal market patterns and need efficient access to higher timeframe data. ✨ Key Features 6 Timeframes: 5min, 1H, 4H, 6H, 1D, and 1W data Power-of-3 Candle Counts: 3, 9, 27, 81, and 243 bars Structured Data: Returns clean OHLCV objects with all price/volume components Pine Script Optimized: Complies with all security() call restrictions 📊 Timeframe Functions pinescript f_get5M_3() // 3 candles of 5min data f_get1H_27() // 27 candles of 1H data f_get1D_81() // 81 candles of daily data // ... and 27 other combinations 🚀 Usage Example pinescript import YourName/OHLCVData/1 as OHLCV weeklyData = OHLCV.f_get1W_27() // Get 27 weekly candles latestHigh = array.get(weeklyData, 0).high plot(latestHigh, "Weekly High") 💡 Ideal For Multi-timeframe analysis Volume-profile studies Fractal pattern detection Higher timeframe confirmation ⚠️ Note Replace "YourName" with your publishing username All functions return arrays of OHLCV objects Maximum lookback = 243 candles 📜 Version History 1.0 - Initial release (2024)
Pine Script®腳本庫
由viorel8提供
Volume Flow RatioVolume Flow Ratio (VFR) Indicator Overview The Volume Flow Ratio (VFR) is a sophisticated volume analysis tool that measures current trading volume relative to the maximum volume of the previous period. Unlike traditional volume indicators that show raw volume or simple moving averages, VFR provides context by comparing current activity to recent maximum activity levels. Core Features 1. Split Period Analysis - Multiple Timeframe Options: - Daily: Compares to previous day's maximum - Weekly: Week-to-week comparison - NYSE Weekly: Specialized for stock market trading (Monday-Friday only) - Monthly: Month-to-month analysis - Quarterly: Quarter-to-quarter perspective - Yearly: Year-over-year volume comparison 2. Ratio-Based Measurement - Displays volume as a ratio (0 to 1+) rather than raw numbers - 1.0 represents volume equal to previous period's maximum - Example: If previous max was 50,000 contracts: - Current volume of 25,000 shows as 0.5 - Current volume of 75,000 shows as 1.5 3. Triple Coloring Modes - Moving Average Based: - Compares current ratio to its moving average - Customizable MA period - Green: Above MA (higher than average activity) - Red: Below MA (lower than average activity) - Previous Candle Comparison: - Simple increase/decrease from previous bar - Green: Higher than previous bar - Red: Lower than previous bar - Candle Color Based: - Syncs with price action - Green: Bullish candles (close > open) - Red: Bearish candles (close < open) Primary Use Cases 1. Volume Profile Analysis - Perfect for traders who need to understand when markets are most active - Helps identify unusual volume spikes relative to recent history - Useful for timing entries and exits based on market participation 2. Market Activity Traders Ideal for traders who: - Need to identify high-liquidity periods - Want to avoid low-volume periods - Look for volume breakouts or divergences - Trade based on institutional participation levels 3. Mean Reversion Traders Helps identify: - Overextended volume conditions (potential reversals) - Volume exhaustion points - Return to normal volume levels after spikes 4. Momentum Traders Useful for: - Confirming trend strength through volume - Identifying potential trend exhaustion - Validating breakouts with volume confirmation Advantages Over Traditional Volume Indicators 1. Contextual Analysis - Shows relative strength rather than raw numbers - Easier to compare across different time periods - Automatically adjusts to changing market conditions 2. Period-Specific Insights - Respects natural market cycles (daily, weekly, monthly) - Special handling for NYSE trading days - Eliminates weekend noise in stock market analysis 3. Flexible Visualization - Three distinct coloring methods for different trading styles - Clear reference line at 1.0 for quick analysis - Histogram style for easy pattern recognition Best Practices For Day Traders - Use Daily split for intraday volume patterns - MA coloring mode with shorter periods (5-10) - Focus on ratios during market hours For Swing Traders - Weekly or NYSE Weekly splits - Longer MA periods (15-20) - Look for sustained volume patterns For Position Traders - Monthly or Quarterly splits - Candle color mode for trend confirmation - Focus on major volume shifts Limitations - Requires one full period to establish baseline - May be less effective in extremely low volume conditions - NYSE Weekly mode specific to stock market hours This indicator is particularly valuable for traders who understand that volume is a crucial component of price action but need a more sophisticated way to analyze it than simple volume bars. It's especially useful for those who trade based on market participation levels and need to quickly identify whether current volume is significant relative to recent history.
Pine Script®指標
由mindyourbuisness提供
Hellenic EMA Matrix - PremiumHellenic EMA Matrix - Alpha Omega Premium Complete User Guide Table of Contents Introduction Indicator Philosophy Mathematical Constants EMA Types Settings Trading Signals Visualization Usage Strategies FAQ Introduction Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market. Key Features: 6 EMA types based on mathematical constants Premium visualization with Neon Glow and Gradient Clouds Automatic Fast/Mid/Slow EMA sorting STRONG signals for powerful trends Pulsing Ribbon Bar for instant trend assessment Works on all timeframes (M1 - MN) Indicator Philosophy Why Mathematical Constants? Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature: Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions Pi (3.14159) - Pi: circles, waves, cycles e (2.71828) - Natural logarithm base: exponential growth, radioactive decay Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles. Mathematical Constants Phi (Phi) - Golden Ratio Phi = 1.618033988749895 Properties: Phi² = Phi + 1 = 2.618 Phi³ = 4.236 Phi⁴ = 6.854 Application: Ideal for trending movements and Fibonacci corrections Pi (Pi) - Pi Number Pi = 3.141592653589793 Properties: 2Pi = 6.283 (full circle) 3Pi = 9.425 4Pi = 12.566 Application: Excellent for cyclical markets and wave structures e (Euler) - Euler's Number e = 2.718281828459045 Properties: e² = 7.389 e³ = 20.085 e⁴ = 54.598 Application: Suitable for exponential movements and volatile markets EMA Types 1. Phi (Phi) - Golden Ratio EMA Description: EMA based on the golden ratio Period Formula: Period = Phi^n × Base Multiplier Parameters: Phi Power Level (1-8): Power of Phi Phi¹ = 1.618 → ~16 period (with Base=10) Phi² = 2.618 → ~26 period Phi³ = 4.236 → ~42 period (recommended) Phi⁴ = 6.854 → ~69 period Recommendations: Phi² or Phi³ for day trading Phi⁴ or Phi⁵ for swing trading Works excellently as Fast EMA 2. Pi (Pi) - Circular EMA Description: EMA based on Pi for cyclical movements Period Formula: Period = Pi × Multiple × Base Multiplier Parameters: Pi Multiple (1-10): Pi multiplier 1Pi = 3.14 → ~31 period (with Base=10) 2Pi = 6.28 → ~63 period (recommended) 3Pi = 9.42 → ~94 period Recommendations: 2Pi ideal as Mid or Slow EMA Excellently identifies cycles and waves Use on volatile markets (crypto, forex) 3. e (Euler) - Natural EMA Description: EMA based on natural logarithm Period Formula: Period = e^n × Base Multiplier Parameters: e Power Level (1-6): Power of e e¹ = 2.718 → ~27 period (with Base=10) e² = 7.389 → ~74 period (recommended) e³ = 20.085 → ~201 period Recommendations: e² works excellently as Slow EMA Ideal for stocks and indices Filters noise well on lower timeframes 4. Delta (Delta) - Adaptive EMA Description: Adaptive EMA that changes period based on volatility Period Formula: Period = Base Period × (1 + (Volatility - 1) × Factor) Parameters: Delta Base Period (5-200): Base period (default 20) Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0) How it works: During low volatility → period decreases → EMA reacts faster During high volatility → period increases → EMA smooths noise Recommendations: Works excellently on news and sharp movements Use as Fast EMA for quick adaptation Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks 5. Sigma (Sigma) - Composite EMA Description: Composite EMA combining multiple active EMAs Composition Methods: Weighted Average (default): Sigma = (Phi + Pi + e + Delta) / 4 Simple average of all active EMAs Geometric Mean: Sigma = fourth_root(Phi × Pi × e × Delta) Geometric mean (more conservative) Harmonic Mean: Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta) Harmonic mean (more weight to smaller values) Recommendations: Enable for additional confirmation Use as Mid EMA Weighted Average - most universal method 6. Lambda (Lambda) - Wave EMA Description: Wave EMA with sinusoidal period modulation Period Formula: Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency)) Parameters: Lambda Base Period (10-200): Base period Lambda Wave Amplitude (0.1-2.0): Wave amplitude Lambda Wave Frequency (10-200): Wave frequency in bars How it works: Period pulsates sinusoidally Creates wave effect following market cycles Recommendations: Experimental EMA for advanced users Works well on cyclical markets Frequency = 50 for day trading, 100+ for swing Settings Matrix Core Settings Base Multiplier (1-100) Multiplies all EMA periods Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7) Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74) Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148) Recommendations by timeframe: M1-M5: Base = 5-10 M15-H1: Base = 10-15 (recommended) H4-D1: Base = 15-25 W1-MN: Base = 25-50 Matrix Source Data source selection for EMA calculation: close - closing price (standard) open - opening price high - high low - low hl2 - (high + low) / 2 hlc3 - (high + low + close) / 3 ohlc4 - (open + high + low + close) / 4 When to change: hlc3 or ohlc4 for smoother signals high for aggressive longs low for aggressive shorts Manual EMA Selection Critically important setting! Determines which EMAs are used for signal generation. Use Manual Fast/Slow/Mid Selection Enabled (default): You select EMAs manually Disabled: Automatic selection by periods Fast EMA Fast EMA - reacts first to price changes Recommendations: Phi Golden (recommended) - universal choice Delta Adaptive - for volatile markets Must be fastest (smallest period) Slow EMA Slow EMA - determines main trend Recommendations: Pi Circular (recommended) - excellent trend filter e Natural - for smoother trend Must be slowest (largest period) Mid EMA Mid EMA - additional signal filter Recommendations: e Natural (recommended) - excellent middle level Pi Circular - alternative None - for more frequent signals (only 2 EMAs) IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods: Fast = EMA with smallest period Mid = EMA with middle period Slow = EMA with largest period Therefore, you can select any combination - the indicator will arrange them correctly! Premium Visualization Neon Glow Enable Neon Glow for EMAs - adds glowing effect around EMA lines Glow Strength: Light - subtle glow Medium (recommended) - optimal balance Strong - bright glow (may be too bright) Effect: 2 glow layers around each EMA for 3D effect Gradient Clouds Enable Gradient Clouds - fills space between EMAs with gradient Parameters: Cloud Transparency (85-98): Cloud transparency 95-97 (recommended) Higher = more transparent Dynamic Cloud Intensity - automatically changes transparency based on EMA distance Cloud Colors: Phi-Pi Cloud: Blue - when Pi above Phi (bullish) Gold - when Phi above Pi (bearish) Pi-e Cloud: Green - when e above Pi (bullish) Blue - when Pi above e (bearish) 2 layers for volumetric effect Pulsing Ribbon Bar Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart Parameters: Ribbon Position: Top / Bottom (recommended) Pulse Speed: Slow / Medium (recommended) / Fast Symbols and colors: Green filled square - STRONG BULLISH Pink filled square - STRONG BEARISH Blue hollow square - Bullish (regular) Red hollow square - Bearish (regular) Purple rectangle - Neutral Effect: Pulsation with sinusoid for living market feel Signal Bar Highlights Enable Signal Bar Highlights - highlights bars with signals Parameters: Highlight Transparency (88-96): Highlight transparency Highlight Style: Light Fill (recommended) - bar background fill Thin Line - bar outline only Highlights: Golden Cross - green Death Cross - pink STRONG BUY - green STRONG SELL - pink Show Greek Labels Shows Greek alphabet letters on last bar: Phi - Phi EMA (gold) Pi - Pi EMA (blue) e - Euler EMA (green) Delta - Delta EMA (purple) Sigma - Sigma EMA (pink) When to use: For education or presentations Show Old Background Old background style (not recommended): Green background - STRONG BULLISH Pink background - STRONG BEARISH Blue background - Bullish Red background - Bearish Not recommended - use new Gradient Clouds and Pulsing Bar Info Table Show Info Table - table with indicator information Parameters: Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right Size: Tiny / Small (recommended) / Normal / Large Table contents: EMA list - periods and current values of all active EMAs Effects - active visual effects TREND - current trend state: STRONG UP - strong bullish STRONG DOWN - strong bearish Bullish - regular bullish Bearish - regular bearish Neutral - neutral Momentum % - percentage deviation of price from Fast EMA Setup - current Fast/Slow/Mid configuration Trading Signals Show Golden/Death Cross Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal) Symbols: Yellow dot "GC" below - Golden Cross Dark red dot "DC" above - Death Cross Show STRONG Signals STRONG BUY and STRONG SELL - the most powerful indicator signals Conditions for STRONG BULLISH: EMA Alignment: Fast > Mid > Slow (all EMAs aligned) Trend: Fast > Slow (clear uptrend) Distance: EMAs separated by minimum 0.15% Price Position: Price above Fast EMA Fast Slope: Fast EMA rising Slow Slope: Slow EMA rising Mid Trending: Mid EMA also rising (if enabled) Conditions for STRONG BEARISH: Same but in reverse Visual display: Green label "STRONG BUY" below bar Pink label "STRONG SELL" above bar Difference from Golden/Death Cross: Golden/Death Cross = crossing moment (1 bar) STRONG signal = sustained trend (lasts several bars) IMPORTANT: After fixes, STRONG signals now: Work on all timeframes (M1 to MN) Don't break on small retracements Work with any Fast/Mid/Slow combination Automatically adapt thanks to EMA sorting Show Stop Loss/Take Profit Automatic SL/TP level calculation on STRONG signal Parameters: Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss 1.5 (recommended) - standard 1.0 - tight stop 2.0-3.0 - wide stop Take Profit R:R (1.0-5.0): Risk/reward ratio 2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR) 1.5 - conservative 3.0-5.0 - aggressive Formulas: LONG: Stop Loss = Entry - (ATR × Stop Loss ATR) Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R) SHORT: Stop Loss = Entry + (ATR × Stop Loss ATR) Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R) Visualization: Red X - Stop Loss Green X - Take Profit Levels remain active while STRONG signal persists Trading Signals Signal Types 1. Golden Cross Description: Fast EMA crosses Slow EMA from below Signal: Beginning of bullish trend How to trade: ENTRY: On bar close with Golden Cross STOP: Below local low or below Slow EMA TARGET: Next resistance level or 2:1 R:R Strengths: Simple and clear Works well on trending markets Clear entry point Weaknesses: Lags (signal after movement starts) Many false signals in ranging markets May be late on fast moves Optimal timeframes: H1, H4, D1 2. Death Cross Description: Fast EMA crosses Slow EMA from above Signal: Beginning of bearish trend How to trade: ENTRY: On bar close with Death Cross STOP: Above local high or above Slow EMA TARGET: Next support level or 2:1 R:R Application: Mirror of Golden Cross 3. STRONG BUY Description: All EMAs aligned + trend + all EMAs rising Signal: Powerful bullish trend How to trade: ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA STOP: Below Fast EMA or automatic SL (if enabled) TARGET: Automatic TP (if enabled) or by levels TRAILING: Follow Fast EMA Entry strategies: Aggressive: Enter immediately on signal Conservative: Wait for pullback to Fast EMA, then enter on bounce Pyramiding: Add positions on pullbacks to Mid EMA Position management: Hold while STRONG signal active Exit on STRONG SELL or Death Cross appearance Move stop behind Fast EMA Strengths: Most reliable indicator signal Doesn't break on pullbacks Catches large moves Works on all timeframes Weaknesses: Appears less frequently than other signals Requires confirmation (multiple conditions) Optimal timeframes: All (M5 - D1) 4. STRONG SELL Description: All EMAs aligned down + downtrend + all EMAs falling Signal: Powerful bearish trend How to trade: Mirror of STRONG BUY Visual Signals Pulsing Ribbon Bar Quick market assessment at a glance: Symbol Color State Filled square Green STRONG BULLISH Filled square Pink STRONG BEARISH Hollow square Blue Bullish Hollow square Red Bearish Rectangle Purple Neutral Pulsation: Sinusoidal, creates living effect Signal Bar Highlights Bars with signals are highlighted: Green highlight: STRONG BUY or Golden Cross Pink highlight: STRONG SELL or Death Cross Gradient Clouds Colored space between EMAs shows trend strength: Wide clouds - strong trend Narrow clouds - weak trend or consolidation Color change - trend change Info Table Quick reference in corner: TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN) Momentum %: Movement strength Effects: Active visual effects Setup: Fast/Slow/Mid configuration Usage Strategies Strategy 1: "Golden Trailing" Idea: Follow STRONG signals using Fast EMA as trailing stop Settings: Fast: Phi Golden (Phi³) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: Wait for STRONG BUY Enter on bar close or on pullback to Fast EMA Stop below Fast EMA Management: Hold position while STRONG signal active Move stop behind Fast EMA daily Exit on STRONG SELL or Death Cross Take Profit: Partially close at +2R Trail remainder until exit signal For whom: Swing traders, trend followers Pros: Catches large moves Simple rules Emotionally comfortable Cons: Requires patience Possible extended drawdowns on pullbacks Strategy 2: "Scalping Bounces" Idea: Scalp bounces from Fast EMA during STRONG trend Settings: Fast: Delta Adaptive (Base 15, Sensitivity 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base Multiplier: 5 Timeframe: M5, M15 Entry rules: STRONG signal must be active Wait for price pullback to Fast EMA Enter on bounce (candle closes above/below Fast EMA) Stop behind local extreme (15-20 pips) Take Profit: +1.5R or to Mid EMA Or to next level For whom: Active day traders Pros: Many signals Clear entry point Quick profits Cons: Requires constant monitoring Not all bounces work Requires discipline for frequent trading Strategy 3: "Triple Filter" Idea: Enter only when all 3 EMAs and price perfectly aligned Settings: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (3Pi) Base Multiplier: 15 Timeframe: H4, D1 Entry rules (LONG): STRONG BUY active Price above all three EMAs Fast > Mid > Slow (all aligned) All EMAs rising (slope up) Gradient Clouds wide and bright Entry: On bar close meeting all conditions Or on next pullback to Fast EMA Stop: Below Mid EMA or -1.5 ATR Take Profit: First target: +3R Second target: next major level Trailing: Mid EMA For whom: Conservative swing traders, investors Pros: Very reliable signals Minimum false entries Large profit potential Cons: Rare signals (2-5 per month) Requires patience Strategy 4: "Adaptive Scalper" Idea: Use only Delta Adaptive EMA for quick volatility reaction Settings: Fast: Delta Adaptive (Base 10, Sensitivity 3.0) Mid: None Slow: Delta Adaptive (Base 30, Sensitivity 2.0) Base Multiplier: 3 Timeframe: M1, M5 Feature: Two different Delta EMAs with different settings Entry rules: Golden Cross between two Delta EMAs Both Delta EMAs must be rising/falling Enter on next bar Stop: 10-15 pips or below Slow Delta EMA Take Profit: +1R to +2R Or Death Cross For whom: Scalpers on cryptocurrencies and forex Pros: Instant volatility adaptation Many signals on volatile markets Quick results Cons: Much noise on calm markets Requires fast execution High commissions may eat profits Strategy 5: "Cyclical Trader" Idea: Use Pi and Lambda for trading cyclical markets Settings: Fast: Pi Circular (1Pi) Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50) Slow: Pi Circular (3Pi) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: STRONG signal active Lambda Wave EMA synchronized with trend Enter on bounce from Lambda Wave For whom: Traders of cyclical assets (some altcoins, commodities) Pros: Catches cyclical movements Lambda Wave provides additional entry points Cons: More complex to configure Not for all markets Lambda Wave may give false signals Strategy 6: "Multi-Timeframe Confirmation" Idea: Use multiple timeframes for confirmation Scheme: Higher TF (D1): Determine trend direction (STRONG signal) Middle TF (H4): Wait for STRONG signal in same direction Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA) Settings for all TFs: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base Multiplier: 10 Rules: All 3 TFs must show one trend Entry on lower TF Stop by lower TF Target by higher TF For whom: Serious traders and investors Pros: Maximum reliability Large profit targets Minimum false signals Cons: Rare setups Requires analysis of multiple charts Experience needed Practical Tips DOs Use STRONG signals as primary - they're most reliable Let signals develop - don't exit on first pullback Use trailing stop - follow Fast EMA Combine with levels - S/R, Fibonacci, volumes Test on demo before real Adjust Base Multiplier for your timeframe Enable visual effects - they help see the picture Use Info Table - quick situation assessment Watch Pulsing Bar - instant state indicator Trust auto-sorting of Fast/Mid/Slow DON'Ts Don't trade against STRONG signal - trend is your friend Don't ignore Mid EMA - it adds reliability Don't use too small Base Multiplier on higher TFs Don't enter on Golden Cross in range - check for trend Don't change settings during open position Don't forget risk management - 1-2% per trade Don't trade all signals in row - choose best ones Don't use indicator in isolation - combine with Price Action Don't set too tight stops - let trade breathe Don't over-optimize - simplicity = reliability Optimal Settings by Asset US Stocks (SPY, AAPL, TSLA) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 10-15 Timeframe: H4, D1 Features: Use on daily for swing STRONG signals very reliable Works well on trending stocks Forex (EUR/USD, GBP/USD) Recommendation: Fast: Delta Adaptive (Base 15, Sens 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base: 8-12 Timeframe: M15, H1, H4 Features: Delta Adaptive works excellently on news Many signals on M15-H1 Consider spreads Cryptocurrencies (BTC, ETH, altcoins) Recommendation: Fast: Delta Adaptive (Base 10, Sens 3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M5, M15, H1 Features: High volatility - adaptation needed STRONG signals can last days Be careful with scalping on M1-M5 Commodities (Gold, Oil) Recommendation: Fast: Pi Circular (1Pi) Mid: Phi Golden (Phi³) Slow: Pi Circular (3Pi) Base: 12-18 Timeframe: H4, D1 Features: Pi works excellently on cyclical commodities Gold responds especially well to Phi Oil volatile - use wide stops Indices (S&P500, Nasdaq, DAX) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 15-20 Timeframe: H4, D1, W1 Features: Very trending instruments STRONG signals last weeks Good for position trading Alerts The indicator supports 6 alert types: 1. Golden Cross Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!" When: Fast EMA crosses Slow EMA from below 2. Death Cross Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!" When: Fast EMA crosses Slow EMA from above 3. STRONG BULLISH Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!" When: All conditions for STRONG BUY met (first bar) 4. STRONG BEARISH Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!" When: All conditions for STRONG SELL met (first bar) 5. Bullish Ribbon Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend" When: EMAs aligned bullish + price above Fast EMA (less strict condition) 6. Bearish Ribbon Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend" When: EMAs aligned bearish + price below Fast EMA (less strict condition) How to Set Up Alerts: Open indicator on chart Click on three dots next to indicator name Select "Create Alert" In "Condition" field select needed alert: Golden Cross Death Cross STRONG BULLISH STRONG BEARISH Bullish Ribbon Bearish Ribbon Configure notification method: Pop-up in browser Email SMS (in Premium accounts) Push notifications in mobile app Webhook (for automation) Select frequency: Once Per Bar Close (recommended) - once on bar close Once Per Bar - during bar formation Only Once - only first time Click "Create" Tip: Create separate alerts for different timeframes and instruments FAQ 1. Why don't STRONG signals appear? Possible reasons: Incorrect Fast/Mid/Slow order Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods Base Multiplier too large Solution: Reduce Base to 5-10 on lower timeframes Market in range Solution: STRONG signals appear only in trends - this is normal Too strict EMA settings Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10 Mid EMA too close to Fast or Slow Solution: Select Mid EMA with period between Fast and Slow 2. How often should STRONG signals appear? Normal frequency: M1-M5: 5-15 signals per day (very active markets) M15-H1: 2-8 signals per day H4: 3-10 signals per week D1: 2-5 signals per month W1: 2-6 signals per year If too many signals - market very volatile or Base too small If too few signals - market in range or Base too large 4. What are the best settings for beginners? Universal "out of the box" settings: Matrix Core: Base Multiplier: 10 Source: close Phi Golden: Enabled, Power = 3 Pi Circular: Enabled, Multiple = 2 e Natural: Enabled, Power = 2 Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0 Manual Selection: Fast: Phi Golden Mid: e Natural Slow: Pi Circular Visualization: Gradient Clouds: ON Neon Glow: ON (Medium) Pulsing Bar: ON (Medium) Signal Highlights: ON (Light Fill) Table: ON (Top Right, Small) Signals: Golden/Death Cross: ON STRONG Signals: ON Stop Loss: OFF (while learning) Timeframe for learning: H1 or H4 5. Can I use only one EMA? No, minimum 2 EMAs (Fast and Slow) for signal generation. Mid EMA is optional: With Mid EMA = more reliable but rarer signals Without Mid EMA = more signals but less strict filtering Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment 6. Does the indicator work on cryptocurrencies? Yes, works excellently! Especially good on: Bitcoin (BTC) Ethereum (ETH) Major altcoins (SOL, BNB, XRP) Recommended settings for crypto: Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M15, H1, H4 Crypto market features: High volatility → use Delta Adaptive 24/7 trading → set alerts Sharp movements → wide stops 7. Can I trade only with this indicator? Technically yes, but NOT recommended. Best approach - combine with: Price Action - support/resistance levels, candle patterns Volume - movement strength confirmation Fibonacci - retracement and extension levels RSI/MACD - divergences and overbought/oversold Fundamental analysis - news, company reports Hellenic Matrix: Excellently determines trend and its strength Provides clear entry/exit points Doesn't consider fundamentals Doesn't see major levels 8. Why do Gradient Clouds change color? Color depends on EMA order: Phi-Pi Cloud: Blue - Pi EMA above Phi EMA (bullish alignment) Gold - Phi EMA above Pi EMA (bearish alignment) Pi-e Cloud: Green - e EMA above Pi EMA (bullish alignment) Blue - Pi EMA above e EMA (bearish alignment) Color change = EMA order change = possible trend change 9. What is Momentum % in the table? Momentum % = percentage deviation of price from Fast EMA Formula: Momentum = ((Close - Fast EMA) / Fast EMA) × 100 Interpretation: +0.5% to +2% - normal bullish momentum +2% to +5% - strong bullish momentum +5% and above - overheating (correction possible) -0.5% to -2% - normal bearish momentum -2% to -5% - strong bearish momentum -5% and below - oversold (bounce possible) Usage: Monitor momentum during STRONG signals Large momentum = don't enter (wait for pullback) Small momentum = good entry point 10. How to configure for scalping? Settings for scalping (M1-M5): Base Multiplier: 3-5 Source: close or hlc3 (smoother) Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0) Mid: None (for more signals) Slow: Phi Golden (Phi²) or Pi Circular (1Pi) Visualization: - Gradient Clouds: ON (helps see strength) - Neon Glow: OFF (doesn't clutter chart) - Pulsing Bar: ON (quick assessment) - Signal Highlights: ON Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0) Scalping rules: Trade only STRONG signals Enter on bounce from Fast EMA Tight stops (10-20 pips) Quick take profit (+1R to +2R) Don't hold through news 11. How to configure for long-term investing? Settings for investing (D1-W1): Base Multiplier: 20-30 Source: close Fast: Phi Golden (Phi³ or Phi⁴) Mid: e Natural (e²) Slow: Pi Circular (3Pi or 4Pi) Visualization: - Gradient Clouds: ON - Neon Glow: ON (Medium) - Everything else - to taste Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: OFF (use percentage stop) Investing rules: Enter only on STRONG signals Hold while STRONG active (weeks/months) Stop below Slow EMA or -10% Take profit: by company targets or +50-100% Ignore short-term pullbacks 12. What if indicator slows down chart? Indicator is optimized, but if it slows: Disable unnecessary visual effects: Neon Glow: OFF (saves 8 plots) Gradient Clouds: ON but low quality Lambda Wave EMA: OFF (if not using) Reduce number of active EMAs: Sigma Composite: OFF Lambda Wave: OFF Leave only Phi, Pi, e, Delta Simplify settings: Pulsing Bar: OFF Greek Labels: OFF Info Table: smaller size 13. Can I use on different timeframes simultaneously? Yes! Multi-timeframe analysis is very powerful: Classic scheme: Higher TF (D1, W1) - determine global trend Wait for STRONG signal This is our trading direction Middle TF (H4, H1) - look for confirmation STRONG signal in same direction Precise entry zone Lower TF (M15, M5) - entry point Golden Cross or bounce from Fast EMA Precise stop loss Example: W1: STRONG BUY active (global uptrend) H4: STRONG BUY appeared (confirmation) M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY Advantages: Maximum reliability Clear timeframe hierarchy Large targets 14. How does indicator work on news? Delta Adaptive EMA adapts excellently to news: Before news: Low volatility → Delta EMA becomes fast → pulls to price During news: Sharp volatility spike → Delta EMA slows → filters noise After news: Volatility normalizes → Delta EMA returns to normal Recommendations: Don't trade at news release moment (spreads widen) Wait for STRONG signal after news (2-5 bars) Use Delta Adaptive as Fast EMA for quick reaction Widen stops by 50-100% during important news Advanced Techniques Technique 1: "Divergences with EMA" Idea: Look for discrepancies between price and Fast EMA Bullish divergence: Price makes lower low Fast EMA makes higher low = Possible reversal up Bearish divergence: Price makes higher high Fast EMA makes lower high = Possible reversal down How to trade: Find divergence Wait for STRONG signal in divergence direction Enter on confirmation Technique 2: "EMA Tunnel" Idea: Use space between Fast and Slow EMA as "tunnel" Rules: Wide tunnel - strong trend, hold position Narrow tunnel - weak trend or consolidation, caution Tunnel narrowing - trend weakening, prepare to exit Tunnel widening - trend strengthening, can add Visually: Gradient Clouds show this automatically! Trading: Enter on STRONG signal (tunnel starts widening) Hold while tunnel wide Exit when tunnel starts narrowing Technique 3: "Wave Analysis with Lambda" Idea: Lambda Wave EMA creates sinusoid matching market cycles Setup: Lambda Base Period: 30 Lambda Wave Amplitude: 0.5 Lambda Wave Frequency: 50 (adjusted to asset cycle) How to find correct Frequency: Look at historical cycles (distance between local highs) Average distance = your Frequency Example: if highs every 40-60 bars, set Frequency = 50 Trading: Enter when Lambda Wave at bottom of sinusoid (growth potential) Exit when Lambda Wave at top (fall potential) Combine with STRONG signals Technique 4: "Cluster Analysis" Idea: When all EMAs gather in narrow cluster = powerful breakout soon Cluster signs: All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other Gradient Clouds almost invisible Price jumping around all EMAs Trading: Identify cluster (all EMAs close) Determine breakout direction (where more volume, higher TFs direction) Wait for breakout and STRONG signal Enter on confirmation Target = cluster size × 3-5 This is very powerful technique for big moves! Technique 5: "Sigma as Dynamic Level" Idea: Sigma Composite EMA = average of all EMAs = magnetic level Usage: Enable Sigma Composite (Weighted Average) Sigma works as dynamic support/resistance Price often returns to Sigma before trend continuation Trading: In trend: Enter on bounces from Sigma In range: Fade moves from Sigma (trade return to Sigma) On breakout: Sigma becomes support/resistance Risk Management Basic Rules 1. Position Size Conservative: 1% of capital per trade Moderate: 2% of capital per trade (recommended) Aggressive: 3-5% (only for experienced) Calculation formula: Lot Size = (Capital × Risk%) / (Stop in pips × Pip value) 2. Risk/Reward Ratio Minimum: 1:1.5 Standard: 1:2 (recommended) Optimal: 1:3 Aggressive: 1:5+ 3. Maximum Drawdown Daily: -3% to -5% Weekly: -7% to -10% Monthly: -15% to -20% Upon reaching limit → STOP trading until end of period Position Management Strategies 1. Fixed Stop Method: Stop below/above Fast EMA or local extreme DON'T move stop against position Can move to breakeven For whom: Beginners, conservative traders 2. Trailing by Fast EMA Method: Each day (or bar) move stop to Fast EMA level Position closes when price breaks Fast EMA Advantages: Stay in trend as long as possible Automatically exit on reversal For whom: Trend followers, swing traders 3. Partial Exit Method: 50% of position close at +2R 50% hold with trailing by Mid EMA or Slow EMA Advantages: Lock profit Leave position for big move Psychologically comfortable For whom: Universal method (recommended) 4. Pyramiding Method: First entry on STRONG signal (50% of planned position) Add 25% on pullback to Fast EMA Add another 25% on pullback to Mid EMA Overall stop below Slow EMA Advantages: Average entry price Reduce risk Increase profit in strong trends Caution: Works only in trends In range leads to losses For whom: Experienced traders Trading Psychology Correct Mindset 1. Indicator is a tool, not holy grail Indicator shows probability, not guarantee There will be losing trades - this is normal Important is series statistics, not one trade 2. Trust the system If STRONG signal appeared - enter Don't search for "perfect" moment Follow trading plan 3. Patience STRONG signals don't appear every day Better miss signal than enter against trend Quality over quantity 4. Discipline Always set stop loss Don't move stop against position Don't increase risk after losses Beginner Mistakes 1. "I know better than indicator" Indicator says STRONG BUY, but you think "too high, will wait for pullback" Result: miss profitable move Solution: Trust signals or don't use indicator 2. "Will reverse now for sure" Trading against STRONG trend Result: stops, stops, stops Solution: Trend is your friend, trade with trend 3. "Will hold a bit more" Don't exit when STRONG signal disappears Greed eats profit Solution: If signal gone - exit! 4. "I'll recover" After losses double risk Result: huge losses Solution: Fixed % risk ALWAYS 5. "I don't like this signal" Skip signals because of "feeling" Result: inconsistency, no statistics Solution: Trade ALL signals or clearly define filters Trading Journal What to Record For each trade: 1. Entry/exit date and time 2. Instrument and timeframe 3. Signal type Golden Cross STRONG BUY STRONG SELL Death Cross 4. Indicator settings Fast/Mid/Slow EMA Base Multiplier Other parameters 5. Chart screenshot Entry moment Exit moment 6. Trade parameters Position size Stop loss Take Profit R:R 7. Result Profit/Loss in $ Profit/Loss in % Profit/Loss in R 8. Notes What was right What was wrong Emotions during trade Lessons Journal Analysis Analyze weekly: 1. Win Rate Win Rate = (Profitable trades / All trades) × 100% Good: 50-60% Excellent: 60-70% Exceptional: 70%+ 2. Average R Average R = Sum of all R / Number of trades Good: +0.5R Excellent: +1.0R Exceptional: +1.5R+ 3. Profit Factor Profit Factor = Total profit / Total losses Good: 1.5+ Excellent: 2.0+ Exceptional: 3.0+ 4. Maximum Drawdown Track consecutive losses If more than 5 in row - stop, check system 5. Best/Worst Trades What was common in best trades? (do more) What was common in worst trades? (avoid) Pre-Trade Checklist Technical Analysis STRONG signal active (BUY or SELL) All EMAs properly aligned (Fast > Mid > Slow or reverse) Price on correct side of Fast EMA Gradient Clouds confirm trend Pulsing Bar shows STRONG state Momentum % in normal range (not overheated) No close strong levels against direction Higher timeframe doesn't contradict Risk Management Position size calculated (1-2% risk) Stop loss set Take profit calculated (minimum 1:2) R:R satisfactory Daily/weekly risk limit not exceeded No other open correlated positions Fundamental Analysis No important news in coming hours Market session appropriate (liquidity) No contradicting fundamentals Understand why asset is moving Psychology Calm and thinking clearly No emotions from previous trades Ready to accept loss at stop Following trading plan Not revenging market for past losses If at least one point is NO - think twice before entering! Learning Roadmap Week 1: Familiarization Goals: Install and configure indicator Study all EMA types Understand visualization Tasks: Add indicator to chart Test all Fast/Mid/Slow settings Play with Base Multiplier on different timeframes Observe Gradient Clouds and Pulsing Bar Study Info Table Result: Comfort with indicator interface Week 2: Signals Goals: Learn to recognize all signal types Understand difference between Golden Cross and STRONG Tasks: Find 10 Golden Cross examples in history Find 10 STRONG BUY examples in history Compare their results (which worked better) Set up alerts Get 5 real alerts Result: Understanding signals Week 3: Demo Trading Goals: Start trading signals on demo account Gather statistics Tasks: Open demo account Trade ONLY STRONG signals Keep journal (minimum 20 trades) Don't change indicator settings Strictly follow stop losses Result: 20+ documented trades Week 4: Analysis Goals: Analyze demo trading results Optimize approach Tasks: Calculate win rate and average R Find patterns in profitable trades Find patterns in losing trades Adjust approach (not indicator!) Write trading plan Result: Trading plan on 1 page Month 2: Improvement Goals: Deepen understanding Add additional techniques Tasks: Study multi-timeframe analysis Test combinations with Price Action Try advanced techniques (divergences, tunnels) Continue demo trading (minimum 50 trades) Achieve stable profitability on demo Result: Win rate 55%+ and Profit Factor 1.5+ Month 3: Real Trading Goals: Transition to real account Maintain discipline Tasks: Open small real account Trade minimum lots Strictly follow trading plan DON'T increase risk Focus on process, not profit Result: Psychological comfort on real Month 4+: Scaling Goals: Increase account Become consistently profitable Tasks: With 60%+ win rate can increase risk to 2% Upon doubling account can add capital Continue keeping journal Periodically review and improve strategy Share experience with community Result: Stable profitability month after month Additional Resources Recommended Reading Technical Analysis: "Technical Analysis of Financial Markets" - John Murphy "Trading in the Zone" - Mark Douglas (psychology) "Market Wizards" - Jack Schwager (trader interviews) EMA and Moving Averages: "Moving Averages 101" - Steve Burns Articles on Investopedia about EMA Risk Management: "The Mathematics of Money Management" - Ralph Vince "Trade Your Way to Financial Freedom" - Van K. Tharp Trading Journals: Edgewonk (paid, very powerful) Tradervue (free version + premium) Excel/Google Sheets (free) Screeners: TradingView Stock Screener Finviz (stocks) CoinMarketCap (crypto) Conclusion Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines: Mathematical elegance - Phi, Pi, e instead of arbitrary numbers Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar Reliable signals - STRONG BUY/SELL work on all timeframes Flexibility - 6 EMA types, adaptation to any trading style Automation - auto-sorting EMAs, SL/TP calculation, alerts Key Success Principles: Simplicity - start with basic settings (Phi/Pi/e, Base=10) Discipline - follow STRONG signals strictly Patience - wait for quality setups Risk Management - 1-2% per trade, ALWAYS Journal - document every trade Learning - constantly improve skills Remember: Indicator shows probability, not guarantee Important is series statistics, not one trade Psychology more important than technique Quality more important than quantity Process more important than result Acknowledgments Thank you for using Hellenic EMA Matrix - Alpha Omega Premium! The indicator was created with love for mathematics, markets, and beautiful visualization. Wishing you profitable trading! Guide Version: 1.0 Date: 2025 Compatibility: Pine Script v6, TradingView "In the simplicity of mathematical constants lies the complexity of market movements"
Pine Script®指標
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