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Pesquisar nos scripts por "bear"

Multi Timeframe ADX and DI w/ AlertsThis script is based off the public DMI code and used to get a quick visual of trend and direction across 3 different timeframes. Alert conditions have been setup for trend changes to bull/bear for all 3 timeframes. This script is meant to pull together the concepts of multi-time frame indicators, custom functions, and custom alert conditions. The primary instructions for this script was to find a version of the ADX Indicator and give it the same treatment as we did with the Heiken Ashi demo (displaying green/red/gray circles to indicate trend and direction) over a configurable time frame. Display a matrix of each timeframe and the corresponding directional color (green=bull, red=bear, gray=non-trending). Have it produce an alert when the state of indicator changes to either bull or bear.
Indicador Pine Script®
por JoshuaMcGowan
7
Elder impulse system with double exponential moving average dema This version of impulse uses the double exponential moving average instead of the typical ema both to calculate macd and the moving slow and fast moving average that are plotted. The impulse system : The Impulse System combines two simple but powerful indicators. One measures market inertia, the other its momentum. When both point in the same direction, they identify an impulse worth following. We get an entry signal when both indicators get in gear. The Impulse System uses an exponential moving average to find uptrends and downtrends. When the EMA rises, it shows that inertia favors the bulls. When EMA falls, inertia works for the bears. The sec- ond component is MACD-Histogram, an oscillator whose slope reflects changes of power among bulls or bears. When MACD-Histogram rises, it shows that bulls are becoming stronger. When it falls, it shows that bears are growing stronger. The Impulse System flags those bars where both the inertia and the momentum point in the same direction. When both the EMA and MACD-Histogram rise, they show that bulls are roaring and the uptrend is accelerating.
Indicador Pine Script®
por Biticon
2
MACD Zero lag impulse systemThis version of impulse uses the double exponential moving average instead of the typical ema. The impulse system : The Impulse System combines two simple but powerful indicators. One measures market inertia, the other its momentum. When both point in the same direction, they identify an impulse worth following. We get an entry signal when both indicators get in gear. The Impulse System uses an exponential moving average to find uptrends and downtrends. When the EMA rises, it shows that inertia favors the bulls. When EMA falls, inertia works for the bears. The sec- ond component is MACD-Histogram, an oscillator whose slope reflects changes of power among bulls or bears. When MACD-Histogram rises, it shows that bulls are becoming stronger. When it falls, it shows that bears are growing stronger. The Impulse System flags those bars where both the inertia and the momentum point in the same direction. When both the EMA and MACD-Histogram rise, they show that bulls are roaring and the uptrend is accelerating.
Indicador Pine Script®
por Biticon
8
Elder impulse system with barcolor + Safezone stops + emasThe impulse system : The Impulse System combines two simple but powerful indicators. One measures market inertia, the other its momentum. When both point in the same direction, they identify an impulse worth following. We get an entry signal when both indicators get in gear. The Impulse System uses an exponential moving average to find uptrends and downtrends. When the EMA rises, it shows that inertia favors the bulls. When EMA falls, inertia works for the bears. The sec- ond component is MACD-Histogram, an oscillator whose slope reflects changes of power among bulls or bears. When MACD-Histogram rises, it shows that bulls are becoming stronger. When it falls, it shows that bears are growing stronger. The Impulse System flags those bars where both the inertia and the momentum point in the same direction. When both the EMA and MACD-Histogram rise, they show that bulls are roaring and the uptrend is accelerating. The SafeZone Stop : Once in a trade, where should you put your stop? This is one of the hardest questions in technical analysis. After answering it, you’ll face an even harder one—when and where to move that stop with the pas- sage of time. Put a stop too close and it’ll get whacked by some mean- ingless intraday swing. Put it too far, and you’ll have very skimpy protection. The Parabolic System, described in Trading for a Living, tried to tackle this problem by moving stops closer to the market each day, accelerating whenever a stock or a commodity reached a new extreme. The trouble with Parabolic was that it kept moving even if the market stayed flat and often got hit by meaningless noise. SafeZone trails prices with stops tight enough to protect capital but remote enough to keep clear of most random fluctuations. Engineers design filters to suppress noise and allow the signal to come through. If the trend is the signal, then the countertrend motion is the noise. When the trend is up, we can define noise as that part of each day’s range that protrudes below the previous day’s low. When the trend is down, we can define noise as that part of each day’s range that pro- trudes above the previous day’s high. SafeZone measures market noise and places stops at a multiple of noise level away from the market. We can make our lookback period 100 days or so if we want to aver- age long-term market behavior. SafeZone offers an original approach to placing stops. It monitors changes in prices and adapts stops to the current levels of activity. It places stops at individually tailored distances rather than at obvious support and resistance levels.
Indicador Pine Script®
por Biticon
3
Absolute Strength MTF IndicatorIntroduction The non-signal version of the absolute strength indicator from fxcodebase.com requested by ernie76 . This indicator originally from mt4 aim to estimate the bullish/bearish force of the market by using various methods. The Indicator Two lines are plotted, a bull line (blue) representing the bullish/buying force and a bear one (red) representing the bearish/selling force, when the bull line is greater than the bear line the market is considered to be strongly bullish, else strongly bearish. The indicator use various method, Rsi, stochastic, adx. The Rsi method is the one by default. The stochastic method is less reactive but smoother The Adx method is way different, while the other two methods make the bull and bear lines somewhat uncorrelated, the adx method focus more on the overall market strength than individual buyer/seller strength. The smoothing method use 3 different filters, SMA, EMA and LSMA, LSMA is more reactive than the two previous one while EMA is just more computer efficient. It is possible to use price data of different time frames for the calculation of the indicator. Stochastic method with 4 hour price close as source. Conclusion A classic indicator who can be derived into a lot of ways using a more adaptive architecture or recursion. Hope you find it a use :) A big thanks to ernie76 for the request and the support/testing of the indicator Feel free to pm me for any request.
Indicador Pine Script®
por alexgrover
16
10/5 Weekly/Daily EMAs with ConfirmationsPlots Daily and Weekly 10 & 5 EMAs (but fully customizable to your own). In addition to plotting the EMAs it color coordinates trend bias and has cross confirmation signals. Philosophy and how to read: I use this indicator when trading strictly on the daily timeframe. I have not tested it on other timeframes. In my trade system I start with both the monthly and weekly charts to define overall bias. Here’s the general rule of thumb. 10 EMA is direction (bias) and 5 EMA is price. If 5EMA is below 10EMA there is a bear bias. If 5EMA is above 10EMA there is a bull bias. This indicator will plot both the daily and weekly 10 & 5 EMAs. It will also color code the background based on how these EMAs relate to each other. Light red typically is just the daily is confirmed bear (typically because it could be either or) Dark red, both daily and weekly in confirmed bear. Light green, typically just daily is confirmed bull (typically because it could be either or) Dark green, both daily and weekly in confirmed bull. In addition to background highlight there is confirmation crosses. The daily confirmation cross is default yellow triangle. Down triangle is 5 crossing the 10 downward. Up triangle is the 5 crossing the 10 upward. The weekly confirmation is the same only is aqua color. Generally, on a color change you want to see one or both confirmation in the direction of the bias change. If you only want to plot the daily bias in the options unclick the setting: Include Weekly Background Plotting. Unclicking this will remove the background coloring for the weekly bias. This might be helpful if you only want to see the strength of what the weekly timeframe is telling you. Also, I’m primarily a trend trader but I also do have a reversal system I trade with lower R:R parameters. A good reversal confirmation signal I’ve noticed is the instrument that you are trading should go through a cycle of light color to dark color. You could also create alerts with this indicator based on just signals. When the signal fires the value will be 1. Future Updates: I want to find some way to correlate the distance between these EMAs to enhance the signal. Also to include a velocity component. Plus a few more things. If you like this indicator please like and leave a comment down below.
Indicador Pine Script®
por RexDogActual
1
Ichimoku Kinko Hyo: Basic StrategyIchimoku Kinko Hyo: Basic Strategy Entry/Exit orders are placed when three basic signals are triggered. Ichimoku Signals: 1) Tenkan-Sen/Kijun-Sen Cross Bullish: Tenkan-Sen is above the Kijun-Sen. Bearish: Tenkan-Sen is below the Kijun-Sen. 2) Chikou-Span Cross Bullish: Chikou-Span is above the close of 26 bars ago. Bearish: Chikou-Span is below the close of 26 bars ago. 3) Price versus Kumo Cloud Bullish: Close is above the Kumo Cloud. Bearish: Close is below the Kumo Cloud. Notes: 1) Long-only or short-only direction is feasible by checkbox. Stop and reverse strategy is taken by default. 2) Built-in Ichimoku indicator is strictly wrong because of counting one extra bar for all Ichimoku components. Including the current bar like moving average is correct way in Japan. This problem is fixed in my script.
Estratégia Pine Script®
por Mizuki32
25
MWho is in ControlWho is in Control. This study shows who is in control by showing just the Bull side, the Bear side or a combined view. This study follows the same philosophy of simplicity I try to use as much as possible in my studies. The least number of parameters and as understandable as possible. Len : length of the period Signal : Signal to show change of trend Disp Bull : Display/Hide Bull Side Disp Bear : Display/Hide Bear Side Disp Differential : Display/Hide the differential between Bulls and Bears.
Indicador Pine Script®
por Madrid
7
: Volume Zone Oscillator & Price Zone Oscillator LB Update JRMThis is a simple update of Lazy Bear's " Indicators: Volume Zone Indicator & Price Zone Indicator" Script. PZO plots on the same indicator. The horizontal plot lines are taken primarily from two articles by Wahalil and Steckler "In The Volume Zone" May 2011, Stocks and Commodities and "Entering The Price Zone"June 2011, Stocks and Commodities. With both indicators on the same plot it is easier to see divergences between the indicators. I did add a plot line at 80 and -80 as well because that is getting into truly extreme price/volume territory where one might contemplate a close your eyes and sell or cover particularly if confirmed at a higher time frame with the expectation of some type of corrective move.. The inputs and plot lines can be edited as per Lazy Bear's original script and follows the original format. Many thanks to Lazy Bear.
Indicador Pine Script®
por jayy
4
Trend Telescope v4 Basic Configuration pine // Enable only the components you need Order Flow: ON Delta Volume: ON Volume Profile: ON Cumulative Delta: ON Volatility Indicator: ON Momentum Direction: ON Volatility Compression: ON 📊 Component Breakdown 1. Order Flow Analysis Purpose: Identifies buying vs selling pressure Visual: Histogram (Green=Buying, Red=Selling) Calculation: Volume weighted by price position Usage: Spot institutional order blocks 2. Delta Volume Values Purpose: Shows volume imbalance Bull Volume (Green): Volume on up bars Bear Volume (Red): Volume on down bars Usage: Identify volume divergences 3. Anchored Volume Profile Purpose: Finds high-volume price levels POC (Point of Control): Price with highest volume Profile Length: Adjustable (default: 50 bars) Usage: Identify support/resistance zones 4. Cumulative Volume Delta Purpose: Tracks net buying/selling pressure over time Trend Analysis: Rising=Buying pressure, Falling=Selling pressure Divergence Detection: Price vs Delta divergences Usage: Confirm trend strength 5. Volatility Indicator Purpose: Measures market volatility with cycle detection Volatility Ratio: ATR as percentage of price Volatility Cycle: SMA of volatility (identifies periods) Histogram: Difference between current and average volatility Usage: Adjust position sizing, identify breakout setups 6. Real-time Momentum Direction Purpose: Multi-factor momentum assessment Components: Price momentum (50%), RSI momentum (30%), Volume momentum (20%) Visual: Line plot with color coding Labels: Clear BULLISH/BEARISH/NEUTRAL signals Usage: Trend confirmation, reversal detection 7. Volatility Compression Analysis Purpose: Identifies low-volatility consolidation periods Compression Detection: True Range below threshold Strength Meter: How compressed the market is Histogram: Red when compressed, Gray when normal Usage: Predict explosive moves, prepare for breakouts ⚙️ Advanced Configuration Optimal Settings for Different Timeframes pine // Scalping (1-15 min) Profile Length: 20 ATR Period: 10 Momentum Length: 8 Compression Threshold: 0.3 // Day Trading (1H-4H) Profile Length: 50 ATR Period: 14 Momentum Length: 14 Compression Threshold: 0.5 // Swing Trading (Daily) Profile Length: 100 ATR Period: 20 Momentum Length: 21 Compression Threshold: 0.7 Alert Setup Guide Enable "Enable Alerts" in settings Choose alert types: Momentum Alerts: When momentum changes direction Compression Alerts: When volatility compression begins Set alert frequency to "Once Per Bar" Configure notification preferences 🎯 Trading Strategies Strategy 1: Compression Breakout pine Entry Conditions: 1. Volatility Compression shows RED histogram 2. Cumulative Delta trending upward 3. Momentum turns BULLISH 4. Price breaks above POC level Exit: When Momentum turns BEARISH or Compression ends Strategy 2: Momentum Reversal pine Entry Conditions: 1. Strong Order Flow in opposite direction 2. Momentum divergence (price makes new high/low but momentum doesn't) 3. Volume confirms the reversal Exit: When Order Flow returns to trend direction Strategy 3: Institutional Accumulation pine Identification: 1. High Cumulative Delta but flat/sideways price 2. Consistent Order Flow in one direction 3. Volume Profile shows accumulation at specific levels Trade: Enter in direction of Order Flow when price breaks level 📈 Interpretation Guide Bullish Signals ✅ Order Flow consistently green ✅ Cumulative Delta making higher highs ✅ Momentum above zero and rising ✅ Bull Volume > Bear Volume ✅ Price above POC level Bearish Signals ✅ Order Flow consistently red ✅ Cumulative Delta making lower lows ✅ Momentum below zero and falling ✅ Bear Volume > Bull Volume ✅ Price below POC level Caution Signals ⚠️ Momentum divergence (price vs indicator) ⚠️ Volatility compression (potential big move coming) ⚠️ Mixed signals across components 🔧 Troubleshooting Common Issues & Solutions Problem: Indicators not showing Solution: Check "Show on Chart" is enabled Problem: Alerts not triggering Solution: Verify alert is enabled in both script and TradingView alert panel Problem: Performance issues Solution: Reduce number of enabled components or increase timeframe Problem: Volume Profile not updating Solution: Adjust Profile Length setting, ensure sufficient historical data Performance Optimization Disable unused components Increase chart timeframe Reduce historical bar count Use on lower timeframes with fewer indicators enabled 💡 Pro Tips Risk Management Use Volatility Indicator for position sizing Monitor Cumulative Delta for trend confirmation Use POC levels for stop-loss placement Multi-Timeframe Analysis Use higher timeframe for trend direction Use current timeframe for entry timing Correlate signals across timeframes Market Condition Adaptation Trending Markets: Focus on Momentum + Order Flow Ranging Markets: Focus on Volume Profile + Compression High Volatility: Use smaller position sizes Low Volatility: Prepare for compression breakouts 📚 Educational Resources Key Concepts to Master Volume-price relationships Market microstructure Institutional order flow Volatility regimes Momentum vs mean reversion Recommended Learning Path Start with Order Flow + Momentum only Add Volume Profile once comfortable Incorporate Volatility analysis Master multi-component correlation 🆘 Support Getting Help Check component toggles are enabled Verify sufficient historical data is loaded Test on major pairs/indices first Adjust settings for your trading style Continuous Improvement Backtest strategies thoroughly Keep a trading journal Adjust parameters based on market conditions Combine with price action analysis Remember: No indicator is perfect. Use this tool as part of a comprehensive trading plan with proper risk management. Always test strategies in demo accounts before live trading. Happy Trading! 📈
Indicador Pine Script®
por lohanineeraj
Adaptive Pulse Frequency & Amplitude TrendAdaptive Pulse Frequency & Amplitude Trend Indicator This Pine Script indicator is designed to identify strong bullish or bearish trends by analyzing volume dynamics on a lower timeframe than the one currently displayed on the chart. It operates on the principle of detecting significant spikes in buying or selling pressure, referred to as "pulses," and then evaluating their frequency, strength, and dominance over the opposing market forces. Core Concepts Lower Timeframe Volume Analysis: The script requests up-volume and down-volume data from a more granular, lower timeframe (e.g., 1-minute data when on a 15-minute chart). This provides a higher-resolution view of the flow of buy and sell orders. Adaptive Pulse Detection: A "pulse" is defined as a bar with an unusually high net volume (up volume minus down volume). Instead of using a fixed value, the indicator calculates an adaptive threshold based on the 90th percentile of net volume over a 100-bar lookback period. Any bar with a net volume exceeding this dynamic threshold is flagged as a pulse, categorized as either bullish (positive net volume) or bearish (negative net volume). Frequency and Amplitude: The indicator measures two key aspects of these pulses over user-defined lookback periods: Net Frequency: The number of bullish pulses minus the number of bearish pulses. A positive value indicates more buying pulses, while a negative value indicates more selling pulses. Net Amplitude : The cumulative volume of bullish pulses minus the cumulative volume of bearish pulses. This measures the overall strength and conviction behind the pulses. Primary Trend Signal The indicator's primary signal comes from a strict dominance condition. It doesn't just look for more buying or selling pulses; it checks if these pulses are powerful enough to overwhelm the total opposite pressure in the market. Bullish Dominance (Green Background): A strong bullish signal is generated when the total volume of all bullish pulses within a lookback period is greater than the total down-volume from all bars (not just pulses) in that same period. Bearish Dominance (Red Background): A strong bearish signal is generated when the total volume of all bearish pulses is greater than the total up-volume from all bars in that period. The chart background is colored green for bullish dominance and red for bearish dominance, providing a clear visual cue for when one side has taken decisive control. Plotted Data In addition to the background coloring, the indicator plots several lines in its own pane for more detailed analysis: Net Frequency: Shows the trend in the number of bull vs. bear pulses. Net Amplitude: Shows the trend in the strength of bull vs. bear pulses. Bullish/Bearish Amplitude: The individual cumulative volumes for bull and bear pulses. Dynamic Threshold: The adaptive value used to identify pulses. By combining an adaptive detection method with a strict dominance condition, this tool aims to filter out market noise and highlight periods of genuinely strong, volume-backed trends.
Indicador Pine Script®
por Cmo22
Dammu AI ADVANCED PRO1. Indicator Overview Name: Dammu Type: Overlay indicator (draws on price chart) Purpose: Combines SuperTrend, SMA/EMA trends, Swing/Structure analysis, Order Blocks, Fair Value Gaps, High/Low levels, TP/SL labels, and alerts. Pine Script Version: v5 2. SuperTrend Module Computes SuperTrend line using ATR and sensitivity. Signals: Bullish: Price crosses above SuperTrend. Bearish: Price crosses below SuperTrend. Plots buy/sell labels 🚀🐻 based on SMA comparison and SuperTrend cross. 3. SMA/EMA Trend Components SMA8 & SMA9: Used for additional trend confirmation. EMA lines: Multiple EMAs with different multipliers for trend detection. Trend Cloud: Uses Hull MA for trend smoothing. 4. Risk Management TP/SL Levels: Automatic calculation of stop-loss and take-profit (TP1, TP2, TP3). Configurable ATR-based risk percentage. Lines and labels drawn for visual TP/SL. 5. Chart Features Smooth Range Filter: Filters noise for trend detection. Colored Trend Cloud: Upward trend = cyan, downward = red. Sideways Market: ADX filter to color bars purple if trend is weak/sideways. Bar Colors: Green/red based on SuperTrend signals. 6. Swing & Structure Analysis Detects Swing Highs/Lows, labels as HH, LH, LL, HL. Detects CHoCH (Change of Character) or BOS (Break of Structure). Can show internal or swing structures with configurable label size and color. 7. Order Blocks (Smart Money Concepts) Detects Internal Order Blocks (iOB) and Swing Order Blocks (OB). Stores top/bottom/left/time/type in arrays. Colors and shows boxes based on bullish/bearish type. Automatically deletes OB if price breaks the block. 8. Fair Value Gaps (FVG) Identifies gaps between candles as potential trading zones. Configurable bullish/bearish colors and extension bars. 9. EQH/EQL (Equal Highs/Lows) Detects equal highs/lows using a threshold. Plots dotted lines and labels EQH/EQL. 10. High/Low Levels MTF Optional plotting of previous daily, weekly, monthly highs/lows. 11. Premium/Discount Zones Plots Premium, Discount, and Equilibrium Zones. Colors: Premium = red, Discount = green, Equilibrium = gray. 12. Alerts Buy/Sell alerts for: SuperTrend crossover BOS/CHoCH (swing/internal) EQH/EQL triggers 13. Miscellaneous Configurable visuals: line style, label size, transparency. Adjustable volatility filters, ATR lengths, smoothing constants. Integrated risk & reward visualization. ✅ In short: This is an all-in-one Smart Money + Trend indicator with SuperTrend signals, swing/structure detection, order blocks, FVGs, EQH/EQL, TP/SL visualization, and optional alerts. It’s designed for both trend-following and order-block-based trading. If you want, I can make a super-short 1-paragraph version that summarizes it even faster for quick reference.
Indicador Pine Script®
por dammucool
Hellenic EMA Matrix - Α Ω 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"
Indicador Pine Script®
por Sesilya
EMA Trend RecognitionEMA Trend Recognition — “Double-Vision Trend Glasses” 👓⚡ In short: Your chart gets two voices — the Major trend (EMA50 vs EMA200) for the big picture, and the Minor trend (EMA9 vs EMA20) for the short-term mood. When both sing the same tune, you get a STRONG signal. When they argue, it’s a WEAK one. Simple. Clean. Effective. 🧭 What this indicator does Major Trend (Long-Term): EMA50 above EMA200 → Bullish. EMA50 below EMA200 → Bearish. This tells you where the market really wants to go. Minor Trend (Short-Term): EMA9 above EMA20 → Bullish. EMA9 below EMA20 → Bearish. This shows you what the market feels like right now. Trend Combinations (The Magic): 🟢 STRONG BUY: Major ↑ + Minor ↑ → full alignment, go with the flow. 🔴 STRONG SELL: Major ↓ + Minor ↓ → both down, no mercy. 🟡 WEAK BUY: Major ↑, Minor ↓ → pullback zone? early dip? maybe. 🟠 WEAK SELL: Major ↓, Minor ↑ → short-term bounce inside a downtrend. 🎨 Background Colors & Info Panel Bright Green: STRONG BUY Bright Red: STRONG SELL Faded Green/Red: WEAK signals (trend disagreement) Bottom Info Table: Major Trend: “BULLISH ↑” or “BEARISH ↓” Minor Trend: same logic, faster tempo Signal: shows STRONG/WEAK/NEUTRAL status Price: latest close price (because yes, we all check that) 🔔 Alerts (so you don’t stare all day) MAJOR TREND CHANGE: “Now Bullish!” or “Now Bearish!” MINOR TREND CHANGE: quicker reversals STRONG BUY/SELL: when both trends line up perfectly (Alerts trigger only on bar close — no disco flicker alerts.) 🧠 Visuals — Simple but Smart EMA 200 & 50: thick lines = your market highway EMA 20 & 9: thin lines = your turn signals Muted colors, so your eyes survive long trading sessions 🚀 Why it’s useful Trend Trading: Filter out noise, ride the momentum. Pullback Entries: WEAK signals often mark “turning back in” moments. System Building: Use “STRONG” as a market bias filter, “MINOR” flips as entry triggers. ⚙️ Pro Tips Timeframes: EMAs are fixed, but meaning scales with TF. On 1H or 4H, they often reflect daily/weekly momentum. Context: Combine with structure (HH/HL/LH/LL), zones (OB/FVG), or volume. Risk Management: Signal ≠ free money. Always define SL/TP and RR. ⚠️ Disclaimer No financial advice, no crystal ball. This indicator helps you see — but you still decide when to act. Backtest and paper-trade before going live. Short Pitch (for the top “Summary” line on TradingView): “Two EMA pairs, one clear trend compass — Major shows direction, Minor sets the rhythm. When both agree, it’s STRONG. When they argue, it’s WEAK. Clean, fast, and easy to read.” ✅ Feel free to commend and if u have inspirations to add something, let me know, cheers :D
Indicador Pine Script®
por fastfold85
Asia Range Breakout Asia Range Breakout Description: Asia Range Breakout is a sophisticated, multi-filter trading tool designed to identify high-probability breakout opportunities during the core Asian trading session. By combining session-based range analysis with advanced confirmation filters like Heiken Ashi momentum, Ichimoku baseline trends, and EMA alignment, this indicator helps traders capture decisive moves while filtering out market noise. Tired of false breakouts? This system provides a structured framework to trade the Sydney and Tokyo sessions with precision and confidence. Key Features: Multi-Session Range Tracking: Monitors 6 distinct pre-defined Asian sessions (Sydney Box, Tokyo Pre-Open, Tokyo Launch, etc.). Dynamically plots High and Low boundaries for each session (Teal for Highs, Red for Lows). Individually toggleable sessions to focus on your preferred trading window. Smart Alert & Signal System: Generates alerts based on Heiken Ashi candle closings relative to session ranges. Dual-Size Signals: Differentiates between "Large" breakouts (outside the range) and "Small" signals (within the range). Configurable alert timeframe for confirmation candle closure.Built-in Sound Alerts for real-time notifications. Advanced Confirmation Filters: Heiken Ashi Momentum Filter: Ensures breakout candles have significant momentum, adjustable via a threshold multiplier. EMA 200 Filter: Confirms the breakout's alignment with the broader trend. Ichimoku Baseline (Kijun-sen) Filter: Uses a dynamic support/resistance level for additional confirmation. Ichimoku Baseline Divergence Filter: A unique feature that requires the baseline's slope to match the breakout direction (Bullish for buys, Bearish for sells). ATR Volatility Filter: (Optional) Ensures the breakout candle has sufficient range relative to recent market volatility. Visual Enhancements: Take-Profit Lines: Projects profit targets using ATR and connects consecutive alerts with a trendline. Heiken Ashi Overlay: Displays smoothed Heiken Ashi candles directly on the main chart for cleaner trend visualization. Divergence Trend Line: Visually plots the slope of the Ichimoku Baseline for quick trend assessment. Session Background Highlighter: Shades the active sessions for easy time reference. Comprehensive Debug Info Box: Provides real-time feedback on filter status, perfect for strategy validation and learning. Usage Instructions & Tips: 1. Initial Setup: Start simple! Apply the indicator to a 5-minute or 1-minute chart. Recommended Instruments: Forex: Major pairs like AUD/USD , USD/JPY or EUR/JPY. Indices: `NAS100` (Nasdaq), `US30` (Dow Jones), `JP225` (Nikkei 225). Commodities: `XAUUSD` (Gold). Initially, enable only the Sydney Box (00:30 - 03:15 UTC) as it is the most robust session, then explore others. 2. Interpreting the Signals: Large Green Arrow (Above Bar): A strong BUY signal. The Heiken Ashi candle closed above the session's High, and all enabled filters are confirmed. Small Green Arrow (Above Bar): A moderate BUY signal. The candle closed bullishly but within the session range. Large Red Arrow (Below Bar): A strong SELL signal. The Heiken Ashi candle closed below the session's Low, with filter confirmation. Small Red Arrow (Below Bar): A moderate SELL signal. The candle closed bearishly but within the session range. 3. Optimizing Your Strategy: Filter Tuning: The default filters are balanced. Adjust them based on your risk appetite: Increase the Heiken Ashi Threshold (e.g., to 0.2) for fewer, but stronger signals. Disable filters like ATR or Divergence if you find them too restrictive. The Power of Divergence: The Ichimoku Divergence filter is a powerful trend-confirmation tool. Pay close attention to it for the highest-quality signals. Use the Debug Box: Enable the "Show Debug Info Box" to see exactly why a signal did or did not trigger. This is invaluable for understanding the indicator's logic and avoiding bad trades. 4. Risk Management: The TP Lines provide a logical profit target based on market volatility. Consider using them for setting take-profit orders. Always use a stop-loss. A logical level is the opposite side of the session range (e.g., for a buy signal, place a stop below the session low). You're very welcome! I'm glad I could help you create a professional tool. Wishing you great success with your Trading! 🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀
Indicador Pine Script®
por MahdiSalari8
Z-Score Momentum | MisinkoMasterThe Z-Score Momentum is a new trend analysis indicator designed to catch reversals, and shifts in trends by comparing the "positive" and "negative" momentum by using the Z-Score. This approach helps traders and investors get unique insight into the market of not just Crypto, but any market. A deeper dive into the indicator First, I want to cover the "Why?", as I believe it will ease of the part of the calculation to make it easier to understand, as by then you will understand how it fits the puzzle. I had an attempt to create a momentum oscillator that would catch reversals and provide high tier accuracy while maintaining the main part => the speed. I thought back to many concepts, divergences between averages? - Did not work Maybe a MACD rework? - Did not work with what I tried :( So I thought about statistics, Standard Deviation, Z-Score, Sharpe/Sortino/Omega ratio... Wait, was that the Z-Score? I only tried the For Loop version of it :O So on my way back from school I formulated a concept (originaly not like this but to that later) that would attempt to use the Z-Score as an accurate momentum oscillator. Many ideas were falling out of the blue, but not many worked. After almost giving up on this, and going to go back to developing my strategies, I tried one last thing: What if we use divergences in the average, formulated like a Z-score? Surprise-surprise, it worked! Now to explain what I have been so passionately yapping about, and to connect the pieces of the puzzle once and for all: The indicator compares the "strength" of the bullish/bearish factors (could be said differently, but this is my "speach bubble", and I think this describes it the best) What could we use for the "bullish/bearish" factors? How about high & low? I mean, these are by definitions the highest and lowest points in price, which I decided to interpret as: The highest the bull & bear "factors" achieved that bar. The problem here is comparison, I mean high will ALWAYS > low, unless the asset decided to unplug itself and stop moving, but otherwise that would be unfair. Now if I use my Z-score, it will get higher while low is going up, which is the opposite of what I want, the bearish "factor" is weaker while we go up! So I sat on my ret*rded a*s for 25 minutes, completly ignoring the fact the number "-1" exists. Surprise surprise, multiplying the Z-Score of the low by -1 did what I wanted! Now it reversed itself (magically). Now while the low keeps going down, the bear factor increases, and while it goes up the bear factor lowers. This was btw still too noisy, so instead of the classic formula: a = current value b = average value c = standard deviation of a Z = (a-b)/c I used: a = average value over n/2 period b = average value over n period c = standard deviation of a Z = (a-b)/c And then compared the Z-Score of High to the Z-Score of Low by basic subtraction, which gives us final result and shows us the strength of trend, the direction of the trend, and possibly more, which I may have not found. As always, this script is open source, so make sure to play around with it, you may uncover the treasure that I did not :) Enjoy Gs!
Indicador Pine Script®
por MisinkoMaster
Tweezer & Kangaroo Zones [WavesUnchained]Tweezer & Kangaroo Zones Pattern Recognition with Supply/Demand Zones Indicator that detects tweezer and kangaroo tail (pin bar) reversal patterns and creates supply and demand zones. Includes volume validation, trend context, and confluence scoring. What You See on Your Chart Pattern Labels: "T" (Red) - Tweezer Top detected above price → Bearish reversal signal "T" (Green) - Tweezer Bottom detected below price → Bullish reversal signal "K" (Red) - Kangaroo Bear (Pin Bar rejection from top) → Bearish signal "K" (Green) - Kangaroo Bull (Pin Bar rejection from bottom) → Bullish signal Label Colors Indicate Pattern Strength: Dark Green/Red - Strong pattern (score ≥8.0) Medium Green/Red - Good pattern (score ≥6.0) Light Green/Red - Valid pattern (score <6.0) Zone Boxes: Red Boxes - Supply Zones (resistance, potential short areas) Green Boxes - Demand Zones (support, potential long areas) White Border - Active zone (fresh, not tested yet) Gray Border - Inactive zone (expired or invalidated) Pattern Detection Tweezer Patterns (Classic Double-Top/Bottom): Flexible Lookback - Detects patterns up to 3 bars apart (not just consecutive) Precision Matching - 0.2% level tolerance for high-quality signals Wick Similarity Check - Both candles must show similar rejection wicks Volume Validation - Second candle requires elevated volume (0.8x average) Pattern Strength Score - 0-1 quality rating based on level match + wick similarity Optional Trend Context - Can require trend alignment (default: OFF for more signals) Kangaroo Tail / Pin Bar Patterns: No Pivot Delay - Instant detection without waiting for pivot confirmation Body Position Check - Body must be at candle extremes (30% tolerance) Volume Spike - Rejection must occur with volume (0.9x average) Rejection Strength - Scores based on wick length (0.5-0.9 of range) Optional Trend Context - Bearish in uptrends, Bullish in downtrends (default: OFF) Zone Management Auto-Created Zones - Every valid pattern creates a supply/demand zone Overlap Prevention - Zones too close together (50% overlap) are not duplicated Lifetime Control - Zones expire after 400 bars (configurable) Smart Invalidation - Zones invalidate when price closes through them Styling Options - Choose between Solid, Dashed, or Dotted borders Border Width - 2px width for better visibility Confluence Scoring System Multi-factor confluence scoring (0-10 scale) with configurable weights: Regime (EMA+HTF) - Trend alignment across timeframes (Weight: 2.0) HTF Stack - Multi-timeframe trend confluence (Weight: 3.0) Structure - Higher lows / Lower highs confirmation (Weight: 1.0) Relative Volume - Volume surge validation (Weight: 1.0) Chop Advantage - Favorable market conditions (Weight: 1.0) Zone Thinness - Tight zones = better R/R (Weight: 1.0) Supertrend - Trend indicator alignment (Weight: 1.0) MOST - Moving Stop alignment (Weight: 1.0) Pattern Strength - Quality of detected pattern (Weight: 1.5) Zone Retest Signals Signals generated when zones are retested: BUY Signal - Price retests demand zone from above (score ≥4.5) SELL Signal - Price retests supply zone from below (score ≥5.5) Normalized Score - Displayed as 0-10 for easy interpretation Optional Trend Gate - Require trend alignment for signals (default: OFF) Alert Ready - Built-in alertconditions for automation Additional Features Auto-Threshold Tuning - Adapts to ATR and Choppiness automatically Session Profiles - Different settings for RTH vs ETH sessions Organized Settings - 15+ input groups for easy configuration Optional Panels - HTF Stack overview and performance metrics (default: OFF) Data Exports - Hidden plots for strategy/library integration RTA Health Monitoring - Built-in performance tracking Setup & Configuration Quick Start: 1. Apply indicator to any timeframe 2. Patterns and zones appear automatically 3. Adjust pattern detection sensitivity if needed 4. Configure zone styling (Solid/Dashed/Dotted) 5. Set up alerts for zone retests Key Settings to Adjust: Pattern Detection: • Min RelVolume: Lower = more signals (0.8 Tweezer, 0.9 Kangaroo) • Require trend context: Enable for stricter, higher-quality patterns • Check wick similarity: Ensures proper rejection structure Zone Management: • Zone lifetime: How long zones remain active (default: 400 bars) • Invalidate on close-through: Remove zones when price breaks through • Max overlap: Prevent duplicate zones (default: 50%) Scoring: • Min Score BUY/SELL: Higher = fewer but better signals (default: 4.5/5.5) • Component weights: Customize what factors matter most • Signals require trend gate: OFF = more signals, ON = higher quality Visual Customization Zone Colors - Light red/green with 85% transparency (non-intrusive) Border Styles - Solid, Dashed, or Dotted Label Intensity - Darker greens for better readability Clean Charts - All panels OFF by default Understanding the Zones Supply Zones (Red): Created from bearish patterns (Tweezer Tops, Kangaroo Bears). Price made a high attempt to push higher, but was rejected. These become resistance areas where sellers may step in again. Demand Zones (Green): Created from bullish patterns (Tweezer Bottoms, Kangaroo Bulls). Price made a low with strong rejection. These become support areas where buyers may step in again. Zone Quality Indicators: • White border = Fresh zone, not tested yet • Gray border = Zone expired or invalidated • Thin zones (tight range) = Better risk/reward ratio • Thick zones = Less precise, wider stop required Trading Applications Reversal Trading - Enter at pattern detection with tight stops Zone Retest Trading - Wait for retests of established zones Trend Confluence - Trade only when patterns align with trend Risk Management - Use zone boundaries for stop placement Target Setting - Opposite zones become profit targets Pro Tips Best signals occur when pattern + zone retest + trend all align Lower timeframes = more signals but more noise Higher timeframes = fewer but more reliable signals Start with default settings, adjust based on your market Combine with other analysis (structure, key levels, etc.) Use alerts to avoid staring at charts all day Important Notes Not all patterns will lead to successful trades Use proper risk management and position sizing Patterns work best in trending or range-bound markets Very choppy conditions may produce lower-quality signals Always confirm with your own analysis before trading Technical Specifications • Pine Script v6 • RTA-Core integration • RTA Core Library integration • Maximum 200 boxes, 500 labels • Auto-tuning based on ATR and Choppiness • Session-aware threshold adjustments • Memory-optimized zone management What's Included Tweezer Top/Bottom detection Kangaroo Tail / Pin Bar detection Automatic supply/demand zone creation Volume validation system Pattern strength scoring Zone retest signals Multi-factor confluence scoring Optional HTF Stack panel Optional performance metrics Session profile support Auto-threshold tuning Alert conditions Data exports for strategies Author Waves Unchained Version 1.0 Status Public Indicator Summary Reversal pattern detection with zone management, volume validation, and confluence scoring for tweezer and kangaroo tail patterns. --- Disclaimer: This indicator is for educational and informational purposes only. Trading involves risk. Past performance does not guarantee future results. Always practice proper risk management.
Indicador Pine Script®
por WavesUnchained
Last Candle of Hour Highlighter (M1 + M5)Highlights the last candle of every hour on 1-minute (M1) and 5-minute (M5) charts, making it easier to spot session closes, breakouts, and end-of-hour price action at a glance. Detailed Description / How to Use: This indicator automatically detects the last candle of each hour and changes its colour for quick visual reference. It’s designed for traders who use short-term timeframes (M1, M5) and want a clean visual cue for hourly closes. Features: • Automatically detects M1 and M5 timeframes. • Highlights the last candle of each hour with a customisable colour. • Optional Bull/Bear mode: colour changes depending on candle direction. • Simple and lightweight — does not affect chart performance. Inputs / Settings: 1. Color by Bull/Bear – Toggle on to automatically colour the last candle green (bullish) or red (bearish) based on its close relative to the open. 2. Highlight Colour – Choose a single colour if Bull/Bear mode is off. 3. Bullish Colour – Choose the colour for bullish last candles. 4. Bearish Colour – Choose the colour for bearish last candles. Usage Tips: • Works best on 1-minute and 5-minute charts. • Ideal for spotting end-of-hour reversals, breakout candles, and momentum shifts. • Can be combined with other indicators like support/resistance or moving averages for more advanced strategies.
Indicador Pine Script®
por ayushaditya
RSI Bollinger Bands [DCAUT]█ RSI Bollinger Bands 📊 ORIGINALITY & INNOVATION The RSI Bollinger Bands indicator represents a meaningful advancement in momentum analysis by combining two proven technical tools: the Relative Strength Index (RSI) and Bollinger Bands. This combination addresses a significant limitation in traditional RSI analysis - the use of fixed overbought/oversold thresholds (typically 70/30) that fail to adapt to changing market volatility conditions. Core Innovation: Rather than relying on static threshold levels, this indicator applies Bollinger Bands statistical analysis directly to RSI values, creating dynamic zones that automatically adjust based on recent momentum volatility. This approach helps reduce false signals during low volatility periods while remaining sensitive to genuine extremes during high volatility conditions. Key Enhancements Over Traditional RSI: Dynamic Thresholds: Overbought/oversold zones adapt to market conditions automatically, eliminating the need for manual threshold adjustments across different instruments and timeframes Volatility Context: Band width provides immediate visual feedback about momentum volatility, helping traders distinguish between stable trends and erratic movements Reduced False Signals: During ranging markets, narrower bands filter out minor RSI fluctuations that would trigger traditional fixed-threshold signals Breakout Preparation: Band squeeze patterns (similar to price-based BB) signal potential momentum regime changes before they occur Self-Referencing Analysis: By measuring RSI against its own statistical behavior rather than arbitrary levels, the indicator provides more relevant context 📐 MATHEMATICAL FOUNDATION Two-Stage Calculation Process: Stage 1: RSI Calculation RSI = 100 - (100 / (1 + RS)) where RS = Average Gain / Average Loss over specified period The RSI normalizes price momentum into a bounded 0-100 scale, making it ideal for statistical band analysis. Stage 2: Bollinger Bands on RSI Basis = MA(RSI, BB Length) Upper Band = Basis + (StdDev(RSI, BB Length) × Multiplier) Lower Band = Basis - (StdDev(RSI, BB Length) × Multiplier) Band Width = Upper Band - Lower Band The Bollinger Bands measure RSI's standard deviation from its own moving average, creating statistically-derived dynamic zones. Statistical Interpretation: Under normal distribution assumptions with default 2.0 multiplier, approximately 95% of RSI values should fall within the bands Band touches represent statistically significant momentum extremes relative to recent behavior Band width expansion indicates increasing momentum volatility (strengthening trend or increasing uncertainty) Band width contraction signals momentum consolidation and potential regime change preparation 📊 COMPREHENSIVE SIGNAL ANALYSIS Visual Color Signals: This indicator features dynamic color fills that highlight extreme momentum conditions: Green Fill (Above Upper Band): Appears when RSI breaks above the upper band, indicating exceptionally strong bullish momentum Represents dynamic overbought zone - not necessarily a reversal signal but a warning of extreme conditions In strong uptrends, green fills can persist as RSI "rides the band" - this indicates sustained momentum strength Exit of green zone (RSI falling back below upper band) often signals initial momentum weakening Red Fill (Below Lower Band): Appears when RSI breaks below the lower band, indicating exceptionally weak bearish momentum Represents dynamic oversold zone - potential reversal or continuation signal depending on trend context In strong downtrends, red fills can persist as RSI "rides the band" - this indicates sustained selling pressure Exit of red zone (RSI rising back above lower band) often signals initial momentum recovery Position-Based Signals: Upper Band Interactions: RSI Touching Upper Band: Dynamic overbought condition - momentum is extremely strong relative to recent volatility, potential exhaustion or continuation depending on trend context RSI Riding Upper Band: Sustained strong momentum, often seen in powerful trends, not necessarily an immediate reversal signal but warrants monitoring for exhaustion RSI Crossing Below Upper Band: Initial momentum weakening signal, particularly significant if accompanied by price divergence Lower Band Interactions: RSI Touching Lower Band: Dynamic oversold condition - momentum is extremely weak relative to recent volatility, potential reversal or continuation of downtrend RSI Riding Lower Band: Sustained weak momentum, common in strong downtrends, monitor for potential exhaustion RSI Crossing Above Lower Band: Initial momentum strengthening signal, early indication of potential reversal or consolidation Basis Line Signals: RSI Above Basis: Bullish momentum regime - upward pressure dominant RSI Below Basis: Bearish momentum regime - downward pressure dominant Basis Crossovers: Momentum regime shifts, more significant when accompanied by band width changes RSI Oscillating Around Basis: Balanced momentum, often indicates ranging market conditions Volatility-Based Signals: Band Width Patterns: Narrow Bands (Squeeze): Momentum volatility compression, often precedes significant directional moves, similar to price coiling patterns Expanding Bands: Increasing momentum volatility, indicates trend acceleration or growing uncertainty Narrowest Band in 100 Bars: Extreme compression alert, high probability of upcoming volatility expansion Advanced Pattern Recognition: Divergence Analysis: Bullish Divergence: Price makes lower lows while RSI touches or stays above previous lower band touch, suggests downward momentum weakening Bearish Divergence: Price makes higher highs while RSI touches or stays below previous upper band touch, suggests upward momentum weakening Hidden Bullish: Price makes higher lows while RSI makes lower lows at the lower band, indicates strong underlying bullish momentum Hidden Bearish: Price makes lower highs while RSI makes higher highs at the upper band, indicates strong underlying bearish momentum Band Walk Patterns: Upper Band Walk: RSI consistently touching or staying near upper band indicates exceptionally strong trend, wait for clear break below basis before considering reversal Lower Band Walk: RSI consistently at lower band signals very weak momentum, requires break above basis for reversal confirmation 🎯 STRATEGIC APPLICATIONS Strategy 1: Mean Reversion Trading Setup Conditions: Market Type: Ranging or choppy markets with no clear directional trend Timeframe: Works best on lower timeframes (5m-1H) or during consolidation phases Band Characteristic: Normal to narrow band width Entry Rules: Long Entry: RSI touches or crosses below lower band, wait for RSI to start rising back toward basis before entry Short Entry: RSI touches or crosses above upper band, wait for RSI to start falling back toward basis before entry Confirmation: Use price action confirmation (candlestick reversal patterns) at band touches Exit Rules: Target: RSI returns to basis line or opposite band Stop Loss: Fixed percentage or below recent swing low/high Time Stop: Exit if position not profitable within expected timeframe Strategy 2: Trend Continuation Trading Setup Conditions: Market Type: Clear trending market with higher highs/lower lows Timeframe: Medium to higher timeframes (1H-Daily) Band Characteristic: Expanding or wide bands indicating strong momentum Entry Rules: Long Entry in Uptrend: Wait for RSI to pull back to basis line or slightly below, enter when RSI starts rising again Short Entry in Downtrend: Wait for RSI to rally to basis line or slightly above, enter when RSI starts falling again Avoid Counter-Trend: Do not fade RSI at bands during strong trends (band walk patterns) Exit Rules: Trailing Stop: Move stop to break-even when RSI reaches opposite band Trend Break: Exit when RSI crosses basis against trend direction with conviction Band Squeeze: Reduce position size when bands start narrowing significantly Strategy 3: Breakout Preparation Setup Conditions: Market Type: Consolidating market after significant move or at key technical levels Timeframe: Any timeframe, but longer timeframes provide more reliable breakouts Band Characteristic: Narrowest band width in recent 100 bars (squeeze alert) Preparation Phase: Identify band squeeze condition (bands at multi-period narrowest point) Monitor price action for consolidation patterns (triangles, rectangles, flags) Prepare bracket orders for both directions Wait for band expansion to begin Entry Execution: Breakout Confirmation: Enter in direction of RSI band breakout (RSI breaks above upper band or below lower band) Price Confirmation: Ensure price also breaks corresponding technical level Volume Confirmation: Look for volume expansion supporting the breakout Risk Management: Stop Loss: Place beyond consolidation pattern opposite extreme Position Sizing: Use smaller size due to false breakout risk Quick Exit: Exit immediately if RSI returns inside bands within 1-3 bars Strategy 4: Multi-Timeframe Analysis Timeframe Selection: Higher Timeframe: Daily or 4H for trend context Trading Timeframe: 1H or 15m for entry signals Confirmation Timeframe: 5m or 1m for precise entry timing Analysis Process: Trend Identification: Check higher timeframe RSI position relative to bands, trade only in direction of higher timeframe momentum Setup Formation: Wait for trading timeframe RSI to show pullback to basis in trending direction Entry Timing: Use confirmation timeframe RSI band touch or crossover for precise entry Alignment Confirmation: All timeframes should show RSI moving in same direction for highest probability setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Close (Default): Standard price point, balances responsiveness and reliability HL2: Reduces noise from intrabar volatility, provides smoother RSI values HLC3 or OHLC4: Further smoothing for very choppy markets, slower to respond but more stable Volume-Weighted: Consider using VWAP or volume-weighted prices for additional liquidity context RSI Length Parameter: Shorter Periods (5-10): More responsive but generates more signals, suitable for scalping or very active trading, higher noise level Standard (14): Default and most widely used setting, proven balance between responsiveness and reliability, recommended starting point Longer Periods (21-30): Smoother momentum measurement, fewer but potentially more reliable signals, better for swing trading or position trading Optimization Note: Test across different market regimes, optimal length often varies by instrument volatility characteristics RSI MA Type Parameter: RMA (Default): Wilder's original smoothing method, provides traditional RSI behavior with balanced lag, most widely recognized and tested, recommended for standard technical analysis EMA: Exponential smoothing gives more weight to recent values, faster response to momentum changes, suitable for active trading and trending markets, reduces lag compared to RMA SMA: Simple average treats all periods equally, smoothest output with highest lag, best for filtering noise in choppy markets, useful for long-term position analysis WMA: Weighted average emphasizes recent data less aggressively than EMA, middle ground between SMA and EMA characteristics, balanced responsiveness for swing trading Advanced Options: Full access to 25+ moving average types including HMA (reduced lag), DEMA/TEMA (enhanced responsiveness), KAMA/FRAMA (adaptive behavior), T3 (smoothness), Kalman Filter (optimal estimation) Selection Guide: RMA for traditional analysis and backtesting consistency, EMA for faster signals in trending markets, SMA for stability in ranging markets, adaptive types (KAMA/FRAMA) for varying volatility regimes BB Length Parameter: Short Length (10-15): Tighter bands that react quickly to RSI changes, more frequent band touches, suitable for active trading styles Standard (20): Balanced approach providing meaningful statistical context without excessive lag Long Length (30-50): Smoother bands that filter minor RSI fluctuations, captures only significant momentum extremes, fewer but higher quality signals Relationship to RSI Length: Consider BB Length greater than RSI Length for cleaner signals BB MA Type Parameter: SMA (Default): Standard Bollinger Bands calculation using simple moving average for basis line, treats all periods equally, widely recognized and tested approach EMA: Exponential smoothing for basis line gives more weight to recent RSI values, creates more responsive bands that adapt faster to momentum changes, suitable for trending markets RMA: Wilder's smoothing provides consistent behavior aligned with traditional RSI when using RMA for both RSI and BB calculations WMA: Weighted average for basis line balances recent emphasis with historical context, middle ground between SMA and EMA responsiveness Advanced Options: Full access to 25+ moving average types for basis calculation, including HMA (reduced lag), DEMA/TEMA (enhanced responsiveness), KAMA/FRAMA (adaptive to volatility changes) Selection Guide: SMA for standard Bollinger Bands behavior and backtesting consistency, EMA for faster band adaptation in dynamic markets, matching RSI MA type creates unified smoothing behavior BB Multiplier Parameter: Conservative (1.5-1.8): Tighter bands resulting in more frequent touches, useful in low volatility environments, higher signal frequency but potentially more false signals Standard (2.0): Default setting representing approximately 95% confidence interval under normal distribution, widely accepted statistical threshold Aggressive (2.5-3.0): Wider bands capturing only extreme momentum conditions, fewer but potentially more significant signals, reduces false signals in high volatility Adaptive Approach: Consider adjusting multiplier based on instrument characteristics, lower multiplier for stable instruments, higher for volatile instruments Parameter Optimization Workflow: Start with default parameters (RSI:14, BB:20, Mult:2.0) Test across representative sample period including different market regimes Adjust RSI length based on desired responsiveness vs stability tradeoff Tune BB length to match your typical holding period Modify multiplier to achieve desired signal frequency Validate on out-of-sample data to avoid overfitting Document optimal parameters for different instruments and timeframes Reference Levels Display: Enabled (Default): Shows traditional 30/50/70 levels for comparison with dynamic bands, helps visualize the adaptive advantage Disabled: Cleaner chart focusing purely on dynamic zones, reduces visual clutter for experienced users Educational Value: Keeping reference levels visible helps understand how dynamic bands differ from fixed thresholds across varying market conditions 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Comparison with Traditional RSI: Fixed Threshold RSI Limitations: In ranging low-volatility markets: RSI rarely reaches 70/30, missing tradable extremes In trending high-volatility markets: RSI frequently breaks through 70/30, generating excessive false reversal signals Across different instruments: Same thresholds applied to volatile crypto and stable forex pairs produce inconsistent results Threshold Adjustment Problem: Manually changing thresholds for different conditions is subjective and lagging RSI Bollinger Bands Advantages: Automatic Adaptation: Bands adjust to current volatility regime without manual intervention Consistent Logic: Same statistical approach works across different instruments and timeframes Reduced False Signals: Band width filtering helps distinguish meaningful extremes from noise Additional Information: Band width provides volatility context missing in standard RSI Objective Extremes: Statistical basis (standard deviations) provides objective extreme definition Comparison with Price-Based Bollinger Bands: Price BB Characteristics: Measures absolute price volatility Affected by large price gaps and outliers Band position relative to price not normalized Difficult to compare across different price scales RSI BB Advantages: Normalized Scale: RSI's 0-100 bounds make band interpretation consistent across all instruments Momentum Focus: Directly measures momentum extremes rather than price extremes Reduced Gap Impact: RSI calculation smooths price gaps impact on band calculations Comparable Analysis: Same RSI BB appearance across stocks, forex, crypto enables consistent strategy application Performance Characteristics: Signal Quality: Higher Signal-to-Noise Ratio: Dynamic bands help filter RSI oscillations that don't represent meaningful extremes Context-Aware Alerts: Band width provides volatility context helping traders adjust position sizing and stop placement Reduced Whipsaws: During consolidations, narrower bands prevent premature signals from minor RSI movements Responsiveness: Adaptive Lag: Band calculation introduces some lag, but this lag is adaptive to current conditions rather than fixed Faster Than Manual Adjustment: Automatic band adjustment is faster than trader's ability to manually modify thresholds Balanced Approach: Combines RSI's inherent momentum lag with BB's statistical smoothing for stable yet responsive signals Versatility: Multi-Strategy Application: Supports both mean reversion (ranging markets) and trend continuation (trending markets) approaches Universal Instrument Coverage: Works effectively across equities, forex, commodities, cryptocurrencies without parameter changes Timeframe Agnostic: Same interpretation applies from 1-minute charts to monthly charts Limitations and Considerations: Known Limitations: Dual Lag Effect: Combines RSI's momentum lag with BB's statistical lag, making it less suitable for very short-term scalping Requires Volatility History: Needs sufficient bars for BB calculation, less effective immediately after major regime changes Statistical Assumptions: Assumes RSI values are somewhat normally distributed, extreme trending conditions may violate this Not a Standalone System: Like all indicators, should be combined with price action analysis and risk management Optimal Use Cases: Best for swing trading and position trading timeframes Most effective in markets with alternating volatility regimes Ideal for traders who use multiple instruments and timeframes Suitable for systematic trading approaches requiring consistent logic Suboptimal Conditions: Very low timeframes (< 5 minutes) where lag becomes problematic Instruments with extreme volatility spikes (gap-prone markets) Markets in strong persistent trends where mean reversion rarely occurs Periods immediately following major structural changes (new trading regime) USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand the interaction between momentum measurement and statistical volatility bands. The RSI Bollinger Bands has limitations and should not be used as the sole basis for trading decisions. Important Considerations: No Predictive Guarantee: Past band touches and patterns do not guarantee future price behavior Market Regime Dependency: Indicator performance varies significantly between trending and ranging market conditions Complementary Analysis Required: Should be used alongside price action, support/resistance levels, and fundamental analysis Risk Management Essential: Always use proper position sizing, stop losses, and risk controls regardless of signal quality Parameter Sensitivity: Different instruments and timeframes may require parameter optimization for optimal results Continuous Monitoring: Band characteristics change with market conditions, requiring ongoing assessment Recommended Supporting Analysis: Price structure analysis (support/resistance, trend lines) Volume confirmation for breakout signals Multiple timeframe alignment Market context awareness (news events, session times) Correlation analysis with related instruments The indicator aims to provide adaptive momentum analysis that adjusts to changing market volatility, but traders must apply sound judgment, proper risk management, and comprehensive market analysis in their decision-making process.
Indicador Pine Script®
por DCAUT