Zero Lag - ZigZag - JDThis is a alternative version of the well known "ZigZag indicator" but it uses turning points of the Jurik ma
instead of the traditional "pivot points" that are by definition lagging by a large lookback period, the (almost-) Zero Lag ZigZag lags by about 2 bars on average (depending on the candles forming)
The ZigZag pattern can be used to draw trendlines and S/R lines
It can also be used for "wave counting" in a way that reduces interpretation.
If you find other uses, please leave your ideas in the comments!
Shoutout to Everget for the awesome Jurik code!!
JD.
#NotTradingAdvice #DYOR
Komut dosyalarını "wave" için ara
OJLJ Elliott Waves DetectorThis script is made to identify Elliot Waves by setting a zigzag line as principal source, it identifies patterns with the most common rules, in the chart you will see a number in each wave detected, a wave could have the characteristics to be two different waves so it will be plotted the options that could be, To identify which one is most trustable I suggest to use the Fibonacci levels options.
Features:
+ All waves ? (Option to show just the 5 Wave patterns recognition)
+ Draw zigzag line (Option to show the zigzag line)
+ Supports Multiple instruments, from FOREX to Stocks
+ It works on all the timeframes
+ Show Fib levels (Option to show the Fibonacci levels)
+ Fibonacci levels fit test (Green crosses mark were should a Bull wave be to fit with a Fibonacci Level While the purple crosses show were should the wave fit to be a bear trend, the more closer with the point of the wave the most trustable Example, a 5 Wave Bull could also be a 2 Bear Wave, if the green cross is closer to the orange point of the wave then is a 5 Wave Bull, if the purple cross is closer to the orange point)
+ A background color also show when a 5 pattern is identified
+ The way to plot the zigzag can be changed with 3 Input options
Characteristics to add in future updates:
+ Detect more than 1 cycle at the same time
+ Use a volume indicator to identify how many volume was traded in each wave
+ Implement the use of the EWO (Elliot Wave Oscillator)
+ Improve the display
+ Identify ABC patterns
+ Add triangles and Zigzag formations
To have access to this script please send me a message ;D
EdgeAnalysisGroup: Yume Wave 2.0This is a upgraded version of the wave with modified parameters for a higher success rate. 3 New Lengths and 75 more lines of code added to the overall algorithm. Also included are 2 sublevel signals based on the Fib MA and pattern trading.
The Wave:
+ The Yume is the Fast length
+ The Akume is the Slow length
+ The Miaku is a median weighted length
+ The Upper Limit is an overbought asset indication
+ The Lower Limit is an oversold asset indication
+ The Wave is the spread between Yume and Miaku
Bullish Indications:
+ The Yume is above the Akume
+ The Yume is above the Miaku
+ The Yume is below the Lower Limit
Bearish Indications:
+ The Yume is below the Akume
+ The Yume is below the Miaku
+ The Yume is above the Upper Limit
Signal Strength Weights:
+ 50 = Yume Wave crossed a Limit Line
+ 100 = Yume Wave crossed a Limit Line + Close to a Fib Moving Average
+ 100 = Edge's Market Bottom/Top Algorithm is marked 'True'
Setting up Signals (Based on a 100 Signal Height):
+ Set the "Bull Signal" to be at 50 or 100
+ Set the "Bear Signal" to be at 50 or 100
+ 50 is Agressive, 100 is Conservative.
+ Bull/Bear are separate so you can play conservative bull with aggressive bear.
TTM Wave C by DreckenThis is one of five indicators created to identify periods of consolidation and watch the overall market momentum to help forecast the market direction and await a release of market energy.
TTM Squeeze Overlay shows Bollinger Bands and Keltner Channels. When the Bollinger Bands (purple) go inside of the Keltner Channel (yellow), the market is said to be in a squeeze.
The dots across the zero line of the TTM Squeeze & Momentum indicator will turn red, signifying this period market compression. Once the Bollinger Bands move outside of the Keltner Channel, a squeeze has “fired”. In order to determine the direction of the move, look at the histogram of the TTM Squeeze & Momentum . If it is above zero, the squeeze has fired long, otherwise short.
The A, B and C Waves use various moving averages and oscillators to visualize the overall strength and direction of the market on short, medium and long time frames. The C Wave is often viewed as the “anchor” for the market. If this wave is clearly positive with all bars above the zero line, we would avoid short trades as this is an indication that the overall momentum of the market is long. The opposite would also be true if the wave was clearly negative. When a squeeze fires, we want to see that Waves are in agreement with the direction of the signal. If a squeeze fires short but the waves are clearly positive and showing bullish momentum, we may opt not to take the signal since it would be fighting the overall market trend.
TTM Wave A by DreckenThis is one of five indicators created to identify periods of consolidation and watch the overall market momentum to help forecast the market direction and await a release of market energy.
TTM Squeeze Overlay shows Bollinger Bands and Keltner Channels. When the Bollinger Bands (purple) go inside of the Keltner Channel (yellow), the market is said to be in a squeeze.
The dots across the zero line of the TTM Squeeze & Momentum indicator will turn red, signifying this period market compression. Once the Bollinger Bands move outside of the Keltner Channel, a squeeze has “fired”. In order to determine the direction of the move, look at the histogram of the TTM Squeeze & Momentum . If it is above zero, the squeeze has fired long, otherwise short.
The A, B and C Waves use various moving averages and oscillators to visualize the overall strength and direction of the market on short, medium and long time frames. The C Wave is often viewed as the “anchor” for the market. If this wave is clearly positive with all bars above the zero line, we would avoid short trades as this is an indication that the overall momentum of the market is long. The opposite would also be true if the wave was clearly negative. When a squeeze fires, we want to see that Waves are in agreement with the direction of the signal. If a squeeze fires short but the waves are clearly positive and showing bullish momentum, we may opt not to take the signal since it would be fighting the overall market trend.
TTM Wave B by DreckenThis is one of five indicators created to identify periods of consolidation and watch the overall market momentum to help forecast the market direction and await a release of market energy.
TTM Squeeze Overlay shows Bollinger Bands and Keltner Channels. When the Bollinger Bands (purple) go inside of the Keltner Channel (yellow), the market is said to be in a squeeze.
The dots across the zero line of the TTM Squeeze & Momentum indicator will turn red, signifying this period market compression. Once the Bollinger Bands move outside of the Keltner Channel, a squeeze has “fired”. In order to determine the direction of the move, look at the histogram of the TTM Squeeze & Momentum . If it is above zero, the squeeze has fired long, otherwise short.
The A, B and C Waves use various moving averages and oscillators to visualize the overall strength and direction of the market on short, medium and long time frames. The C Wave is often viewed as the “anchor” for the market. If this wave is clearly positive with all bars above the zero line, we would avoid short trades as this is an indication that the overall momentum of the market is long. The opposite would also be true if the wave was clearly negative. When a squeeze fires, we want to see that Waves are in agreement with the direction of the signal. If a squeeze fires short but the waves are clearly positive and showing bullish momentum, we may opt not to take the signal since it would be fighting the overall market trend.
CryptoWave ProProps to Lazy Bear for his WaveTrend Oscillator which I've used as the basis of this indicator.
Whats changed?
Tweaked values for crypto markets - Working well on the 1h chart but can be used on essentially any time frame.
- Added visual buy sell signals
- Colored Arrow
- Bar Colors On Chart
Added alert syntax to easy TradingView alerts
Access given to all CryptoProTools members
Fractal Resonance CompositeFractal Resonance Composite compresses 8 timescales of stochastic oscillators into just 3 color-coded composite lines: fast, medium and slow. Fast emphasizes the shorter timescale oscillators, medium considers all 8 timescales evenly, and slow emphasizes the longer timeframe oscillators. The composite lines indicate how overbought/sold the market is relative to the size of its recent movements. Major buys occur when all three composites enter the Oversold (green shaded) range and turn up, and major sells when all three reach the Overbought (red shaded) range and turn down. The fast line's quicker reversals and exaggerated alternations on smaller price moves makes it more fit for scalping. Notice the fast and medium lines tend to snap back toward the slow line like stretched rubber bands.
As is particularly apparent in the slow line, the nifty mathematics of the compositing process reconstruct the topology (peaks and valleys) of the underlying price curve in a smoothly distorted "cartoon" form that has a very useful property: the composite lines are confined to +-100% Extreme Overbought/sold oscillatory ranges. (By definition, only extremely rare "parabolic" moves can push all 3 composites beyond +-100%). If we knew that price would always stay confined to a certain range, trading would be much easier, no? Always buy the bottom of the range and sell the top!
How it works
To understand what's behind this nifty property, consider the mathematics of LazyBear's WaveTrend port .
The formula is fairly simple as indicators go yet statistically fundamental in a way that suggests it should have been the grandfather of all market stochastic oscillators. It's just a running average of the ratio:
(price's current deviation from it's mean)
-----------------------------------------------------------
(running average of absolute |price deviation from the mean| )
In formal statistics notation this is written:
E{ (X - E{X}) / E{|X-E{X}|} }
Where X is the price random variable and E{} the averaging or Expectation operator, implemented in this oscillator as exponential moving averages.
Conceptually, the denominator measures and normalizes by the typical size of recent price moves. This normalization process is what stretches or compresses the local price movements such that the whole composite curve can stay within the oscillatory range.
Attributes
The default fast=.6, medium=1, slow=1.4 compositing factors give each line visually distinct behavior, but can be tweaked to emphasize different oscillator "speeds".
Particular lines can be disabled by setting their line width to 0.
Wolfe Wave Auto+ManualWolfe Wave Auto+Manual Indicator
Description
The "Wolfe Wave Auto+Manual" indicator is a powerful tool for identifying and analyzing Wolfe Wave patterns on TradingView charts. It supports both automatic pattern detection based on Gann pivots and manual point configuration for precise pattern construction. This indicator is ideal for traders looking to leverage Wolfe Waves to predict market reversals and set take-profit targets.
The indicator displays the pattern with lines, zones (Sweet Zone), and labels, offering three take-profit calculation methods: ETA (intersection of lines 1-3 and 2-4), Line 1-4 (projection of the 1-4 trendline), and Flat (Point 4 price level). Users can customize visualization and calculations, including support for linear and logarithmic price scales.
Key Features
Auto and Manual Modes: Choose between automatic pattern detection using pivots or manual input of points 1-5.
Flexible Take-Profit Options: Supports three TP methods (ETA, Line 1-4, Flat) with customizable line and label colors.
Logarithmic Scale Support: Accurate calculations for charts with linear or logarithmic price scales.
Customizable Visualization: Enable/disable pattern lines, display the Sweet Zone, and show point labels positioned on the outer edges of the pattern for better readability.
Gann Pivots: Auto mode uses pivot detection for precise identification of key points.
User-Friendly Settings: All parameters include tooltips for easy configuration.
How to Use
Add the Indicator:
Find "Wolfe Wave Auto+Manual" in the TradingView indicator library and add it to your chart.
Select Mode:
Auto: The indicator automatically detects patterns based on pivots. Adjust "Swing Length" and "Pivot Offset" to control sensitivity.
Manual: Specify the time and price for points 1-5 in the settings to build a specific pattern.
Customize Visualization:
Enable/disable pattern lines using "Show Pattern Lines."
Adjust pivot and take-profit colors in their respective setting groups.
Choose Price Scale:
Set "Price Scale" to "Linear" or "Logarithmic" based on your chart type.
Configure Take-Profits:
Enable desired TP methods (ETA, Line 1-4, Flat) and customize their colors.
Use "TP Decimal Precision" to control the precision of displayed prices.
Analyze the Pattern:
Look for entry points near Point 5, using the Sweet Zone as a confirmation area.
Use TP levels to set profit targets.
Recommendations
Timeframes: The indicator works on all timeframes, but Auto mode is recommended for H1 and higher for more reliable pivots.
Instruments: Suitable for stocks, forex, cryptocurrencies, and other assets. Use logarithmic scale for long-term charts with high volatility.
Additional Filters: Combine with RSI, MACD, or support/resistance levels to enhance signal accuracy.
Testing: Experiment with "Swing Length" in Auto mode to optimize pattern detection for your trading style.
Notes
Ensure prices in Manual mode are positive when using logarithmic scale to avoid errors.
Disable "Show Pattern Lines" to focus on labels and TP levels for a cleaner chart.
Verify settings when switching between linear and logarithmic scales.
The "Wolfe Wave Auto+Manual" indicator is a versatile addition to your trading toolkit, helping you identify high-probability reversal patterns and plan trades with clear profit targets. Try it today to elevate your market analysis!
Индикатор "Wolfe Wave Auto+Manual"
Описание
Индикатор "Wolfe Wave Auto+Manual" — мощный инструмент для выявления и анализа паттернов волн Вульфа на графиках TradingView. Этот индикатор поддерживает как автоматическое обнаружение паттернов на основе пивотов Ганна, так и ручную настройку точек для точного построения. Он идеально подходит для трейдеров, которые хотят использовать волны Вульфа для прогнозирования разворотов рынка и определения целей тейк-профита.
Индикатор отображает паттерн с линиями, зонами (Sweet Zone) и метками, а также предлагает три метода расчёта тейк-профита: ETA (пересечение линий 1-3 и 2-4), Line 1-4 (проекция линии 1-4) и Flat (уровень точки 4). Пользователь может гибко настраивать визуализацию и расчёты, включая поддержку линейной и логарифмической шкал цен.
Ключевые особенности
Автоматический и ручной режимы: Выбирайте между автоматическим обнаружением паттернов на основе пивотов или ручным заданием точек 1-5.
Гибкие настройки тейк-профита: Поддержка трёх методов TP (ETA, Line 1-4, Flat) с настраиваемыми цветами линий и меток.
Поддержка логарифмической шкалы: Корректные расчёты для графиков с линейной или логарифмической шкалой цен.
Настраиваемая визуализация: Включайте/отключайте линии паттерна, отображайте Sweet Zone и метки точек, расположенные на внешних углах конструкции для лучшей читаемости.
Пивоты Ганна: В автоматическом режиме используются пивоты для точного определения ключевых точек.
Интуитивные настройки: Все параметры сопровождаются всплывающими подсказками для удобства.
Как использовать
Добавьте индикатор:
Найдите "Wolfe Wave Auto+Manual" в библиотеке индикаторов TradingView и добавьте на график.
Выберите режим:
Auto: Индикатор автоматически определяет паттерны на основе пивотов. Настройте "Swing Length" и "Pivot Offset" для контроля чувствительности.
Manual: Задайте время и цену для точек 1-5 в настройках для построения конкретного паттерна.
Настройте визуализацию:
Включите/отключите линии паттерна через "Show Pattern Lines".
Настройте цвета пивотов и тейк-профитов в соответствующих группах настроек.
Выберите шкалу цен:
Установите "Price Scale" в "Linear" или "Logarithmic" в зависимости от типа графика.
Настройте тейк-профиты:
Включите нужные методы TP (ETA, Line 1-4, Flat) и настройте их цвета.
Используйте "TP Decimal Precision" для контроля точности отображаемых цен.
Анализируйте паттерн:
Ищите точки входа вблизи точки 5, используя Sweet Zone как зону подтверждения.
Ориентируйтесь на уровни TP для фиксации прибыли.
Рекомендации
Таймфреймы: Индикатор работает на любых таймфреймах, но для Auto-режима рекомендуется использовать таймфреймы от H1 и выше для более надёжных пивотов.
Инструменты: Подходит для акций, форекса, криптовалют и других активов. Для долгосрочных графиков с высокой волатильностью используйте логарифмическую шкалу.
Дополнительные фильтры: Комбинируйте с индикаторами RSI, MACD или уровнями поддержки/сопротивления для повышения точности сигналов.
Тестирование: Протестируйте настройки в Auto-режиме с разными значениями "Swing Length" для оптимизации обнаружения паттернов.
Примечания
Убедитесь, что цены в Manual-режиме положительные при использовании логарифмической шкалы, чтобы избежать ошибок.
Для отключения линий паттерна используйте настройку "Show Pattern Lines", чтобы сосредоточиться на метках и уровнях TP.
Регулярно проверяйте настройки при переключении между линейной и логарифмической шкалами.
Этот индикатор станет отличным дополнением к вашей торговой стратегии, помогая выявлять высоковероятные разворотные паттерны и планировать сделки с чёткими целями прибыли. Попробуйте "Wolfe Wave Auto+Manual" и улучшите свой анализ рынка!
Elliott Wave Detector with FibonacciDetermines what timeframe (if any) the underlying asset displays congruence with Elliot Waves, validated by examining the congruence of the waves with fibonacci patterns. Like all backwards-looking indicators, any actual match will be a very pretty coincidence rather than any kind of indicator of potential future behaviour,
Kyber Cell's – TTM Wave AThe Kyber Cell’s Wave A – TTM Squeeze Momentum Histogram
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1. Introduction
Wave A is the momentum core of the TTM Squeeze system. As the most dynamic and visually responsive of the three “waves,” it captures the ebb and flow of price strength using linear regression techniques. This histogram-based indicator is typically displayed below the chart and serves as an early warning system for potential breakouts, as well as a momentum health monitor during trades.
Built for traders who value precision, timing, and visual clarity, Kyber Cell’s Wave A re-engineers the traditional TTM Wave A with enhanced color logic, momentum sensitivity, and integration-readiness with multi-wave systems. Whether you’re scalping intraday volatility or riding longer-term swings, this tool gives you the pulse of the move — before the price fully commits.
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2. Core Concept and Calculation
Wave A focuses on momentum as deviation from equilibrium, using a linear regression of the smoothed price difference between:
• The current close
• And the average of the Bollinger Band basis and a mid-range average of highs and lows
The result is a histogram that expands and contracts based on how far and how fast price is moving away from its mean. This makes it ideal for identifying when markets are building pressure (compression), releasing energy (expansion), or losing steam (divergence).
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3. Visual Output and Color Logic
The Wave A histogram dynamically changes color based on the direction and acceleration of momentum:
• Bright Cyan: Bullish momentum increasing
• Dark Blue: Bullish momentum weakening
• Bright Red: Bearish momentum increasing
• Dark Red: Bearish momentum weakening
This 4-color system helps traders instantly identify not just the direction of momentum, but the quality of that move:
• Increasing color brightness = momentum is building
• Dimming colors = momentum is fading
This is especially useful in squeeze trades — a rising Wave A during a green dot (squeeze fire) confirms breakout direction. Conversely, a fading Wave A may suggest to delay entry or prepare to exit.
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4. Ideal Use Case
Wave A is most effective when used in conjunction with a TTM Squeeze dot indicator (such as your Squeeze Pro) and optional Wave B/C overlays. The typical workflow:
1. Watch for Compression: Red, orange, or blue squeeze dots from the main chart indicator.
2. Confirm with Wave A: Enter long if Wave A flips cyan and is rising, or short if it flips bright red and is increasing.
3. Monitor the Bars: Fading bars may signal divergence, exhaustion, or false breakouts.
4. Exit Gracefully: When the histogram flips against your position and starts rising in the opposite color, it’s often a signal to consider tightening stops or taking profit.
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5. Configuration and Customization
Wave A is intentionally minimal in external configuration, focusing instead on clean visuals and fast response. However, key parameters typically include:
• Length of the linear regression (commonly set to match the Squeeze window)
• Price smoothing options (if enabled)
• Bar coloring toggle (to adapt for personal theme preferences or integration into multi-wave dashboards)
This keeps Wave A lightweight and compatible with a wide range of strategies, while remaining highly informative in real-time.
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6. Alerts and Add-ons
While Wave A itself is primarily visual, it can be enhanced with optional alert logic:
• Histogram flip from negative to positive (bullish)
• Histogram flip from positive to negative (bearish)
• Momentum peak or divergence alert (custom-coded for advanced users)
Traders often link this with a squeeze-fire signal or Wave B trend alignment to trigger more sophisticated alerts or automation workflows.
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7. Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Trading based on this tool involves risk, and all decisions should be made in context of broader technical and fundamental analysis, appropriate risk management, and your own trading strategy.
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IU Market Rhythm WaveDESCRIPTION:
The IU Market Rhythm Wave is a multi-dimensional indicator designed to reveal the underlying rhythm and energy of the market. By analyzing price momentum, harmonic oscillations, volume behavior, and market breadth, it helps traders identify high-quality long and short wave signals. It also visualizes rhythm bands, wave strength zones, and harmonic levels to provide comprehensive context for decision-making.
This tool is best used on trending instruments where rhythm cycles and volume patterns create clear wave-based opportunities.
USER INPUTS:
Rhythm Cycle Length
Controls the main lookback period used to calculate price waves, harmonic oscillation, volume rhythm, and breath. A longer cycle smooths signals, while a shorter cycle makes them more responsive. Recommended range: 8 to 35.
Wave Signal Strength
Multiplies the standard deviation of rhythm to define dynamic breakout thresholds. A higher value results in fewer but stronger signals, filtering out minor fluctuations.
Harmonic Filter
Applies a sensitivity filter to the harmonic mean and standard deviation. It helps eliminate weak or noisy signals and ensures rhythm-based signals align with harmonic structure.
Show Wave Energy Zones
Toggles background color shading based on current rhythm conditions. Greenish zones indicate strong upward rhythm, red for strong downward rhythm, yellow for positive bias, and gray for weak or neutral zones.
Show Rhythm Bands
Enables the display of upper and lower rhythm bands derived from ATR and rhythm volatility. These bands act as dynamic price envelopes and potential support/resistance zones.
Wave Zone Opacity
Adjusts the transparency of background energy zones, allowing users to control how prominent these zones appear on the chart. Range: 60 to 90 for optimal visibility.
INDICATOR LOGIC:
The indicator combines multiple rhythmic components into a composite rhythm score:
1. Price Wave – Based on momentum (rate of price change) smoothed by a moving average.
2. Harmonic Oscillation – Measures how far price has deviated from a central harmonic average (HLC3).
3. Volume Rhythm – Uses volume’s deviation from its mean, standardized by its volatility.
4. Market Breath – Captures range expansion and closing strength relative to range.
These elements form the Raw Rhythm, which is further smoothed to produce the Market Rhythm. When the rhythm exceeds statistically calculated thresholds and other conditions like volume confirmation and harmonic proximity are met, wave signals are triggered.
Harmonic Fibonacci levels (0.236, 0.382, 0.618, 0.764) are also calculated every rhythm cycle to identify nearby structural price zones. Signals occurring near these levels are considered more reliable.
The Rhythm Bands use ATR and rhythm strength to define dynamic boundaries above and below price. Visual zones and arrows mark rhythm shifts and highlight the underlying energy of the market.
WHY IT IS UNIQUE:
This indicator goes beyond traditional oscillators or volume indicators by blending multiple market dimensions into one rhythmic framework. It adapts to volatility, applies harmonic structure awareness, and filters signals based on real-time market conditions. It offers:
* A unique rhythm-based view of price, volume, and volatility
* Dynamic, adaptive signal generation and zone coloring
* Visual analytics and contextual data in a summary table
* Signal filtering using harmonic alignment and market breath
Its real-time responsiveness and multi-layered logic make it suitable for intraday, swing, and positional traders.
HOW USER CAN BENEFIT FROM IT:
* Spot high-conviction long or short entries when rhythm, volume, and structure align
* Avoid low-quality trades during weak or noisy rhythm periods
* Use visual wave zones to gauge trend strength and rhythm direction
* Monitor harmonic proximity to enter or exit near key structural levels
* Apply rhythm bands for dynamic stop-loss and target setting
* Use rhythm direction arrows and analytics table to gain deeper market insight
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
SURF (ex-mafgi) 2.5 4m design @VanyaKsenyaSURF
designed by my 2 older kids, idea by me.
Correlation long only indicator which is fun to use and easy to decipher (hopefully).
What it does, is you can pick up to 3 assets that correlate with the asset you study.
Then it calculates the fear and greed index for each of the assets, and assigns it a weight based on either of the 3 included correlation measuring methods - simple, volatility-based, time-shifted, and (not yet working as of now) - grander causality method.
When the correlated assets are in fear zone (for positively correlated assets) - it shows a surfer who is ready to surf the upcoming wave up.
However, be cautious and take your profit when you see a palm tree or the sea throws out some green seaweed.
Waves are deep back in the sea and dark blue, with a lot of wet sand on the beach - good entry points for longs.
Opposite - good for shorts. When waves are so high that they reach the dry sand.
Enjoy!
(don't forget to check and modify the list of the assets which you think might corellate with the asset you're studying or trading).
[blackcat] L1 Small Wave Operation L1 Small Wave Operation
Overview
Are you looking to catch those elusive small waves in the market? Look no further than " L1 Small Wave Operation." This script offers a unique way to identify potential buying opportunities by analyzing price movements, volume changes, and trend directions. With customizable inputs and clear visual indicators, it’s designed to help traders spot favorable entry points with precision.
Features
Dynamic Signal Identification: Automatically detects two types of buy signals labeled "S" and "B."
Adaptable Parameters: Allows users to adjust low period, high period, EMA periods, SMA period, and various threshold values to fine-tune the strategy.
Visual Clarity: Plots K and D lines along with four distinct threshold levels for easy visualization.
Condition-Based Signals: Uses multiple conditions including volume increases, price actions, and crossover events to confirm signals.
How It Works
Calculate Percent Range: Determines where the current closing price lies within the recent low and high range.
Compute Moving Averages: Calculates Exponential Moving Average (EMA) and Simple Moving Average (SMA) of the percent range.
Define Conditions: Checks for bullish or strong bullish patterns, uptrends, and specific crossover events between K and D lines.
Generate Signals: Marks potential buying opportunities when predetermined conditions are met.
How To Use
Add this script to your TradingView chart.
Adjust the input parameters according to your preferred settings.
Monitor the plotted lines and look for "S" and "B" labels indicating buy signals.
Consider incorporating these signals into a broader trading strategy that includes risk management techniques.
What Makes It Special
Flexibility: Users can easily modify parameters to adapt the script to different markets or personal preferences.
Automation: Saves time by automatically scanning for trade setups based on predefined rules.
Comprehensive Analysis: Combines multiple factors like volume, price action, and moving averages to provide reliable signals.
Limitations
Past performance does not guarantee future results.
Market conditions can vary, affecting signal reliability.
Not suitable for very short-term trades without additional refinements.
Notes
Always perform backtesting on historical data before implementing live trades.
Understand the underlying logic of the script to avoid misinterpretation of signals.
Regularly review and adjust parameters based on changing market dynamics.
RSI Wave Function Ultimate OscillatorEnglish Explanation of the "RSI Wave Function Ultimate Oscillator" Pine Script Code
Understanding the Code
Purpose:
This Pine Script code creates a custom indicator that combines the Relative Strength Index (RSI) with a wave function to potentially provide more nuanced insights into market dynamics.
Key Components:
* Wave Function: This is a custom calculation that introduces a sinusoidal wave component to the price data. The frequency parameter controls the speed of the oscillation, and the decay factor determines how quickly the influence of past prices diminishes.
* Smoothed Signal: The wave function is applied to the closing price to create a smoothed signal, which is essentially a price series modulated by a sine wave.
* RSI: The traditional RSI is then calculated on this smoothed signal, providing a measure of the speed and change of price movements relative to recent price changes.
Calculation Steps:
* Wave Function Calculation:
* A sinusoidal wave is generated based on the bar index and the frequency parameter.
* The wave is combined with the closing price using a weighted average, where the decay factor determines the weight given to previous values.
* RSI Calculation:
* The RSI is calculated on the smoothed signal using a standard RSI formula.
* Plotting:
* The RSI values are plotted on a chart, along with horizontal lines at 70 and 30 to indicate overbought and oversold conditions.
* The area between the RSI line and the overbought/oversold lines is filled with color to visually represent the market condition.
Interpretation and Usage
* Wave Function: The wave function introduces cyclical patterns into the price data, which can help identify potential turning points or momentum shifts.
* RSI: The RSI provides a measure of the speed and change of price movements relative to recent price changes. When applied to the smoothed signal, it can help identify overbought and oversold conditions, as well as potential divergences between price and momentum.
* Combined Indicator: The combination of the wave function and RSI aims to provide a more sensitive and potentially earlier indication of market reversals.
* Signals:
* Crossovers: Crossovers of the RSI line above or below the overbought/oversold lines can be used to generate buy or sell signals.
* Divergences: Divergences between the price and the RSI can indicate a weakening trend.
* Oscillations: The amplitude and frequency of the oscillations in the RSI can provide insights into the strength and duration of market trends.
How it Reflects Market Volatility
* Amplified Volatility: The wave function can amplify the volatility of the price data, making it easier to identify potential turning points.
* Smoothing: The decay factor helps to smooth out short-term fluctuations, allowing the indicator to focus on longer-term trends.
* Sensitivity: The combination of the wave function and RSI can make the indicator more sensitive to changes in market momentum.
In essence, this custom indicator attempts to enhance traditional RSI analysis by incorporating a cyclical component that can potentially provide earlier signals of market reversals.
Note: The effectiveness of this indicator will depend on various factors, including the specific market, time frame, and the chosen values for the frequency and decay parameters. It is recommended to conduct thorough backtesting and optimize the parameters to suit your specific trading strategy.
Money Wave Script (Visual Adaptive MFI)This Script is a visual modification of the Money Flow Index (MFI)
//@version=5
indicator(title="Money Flow Index", shorttitle="MFI", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
length = input.int(title="Length", defval=14, minval=1, maxval=2000)
src = hlc3
mf = ta.mfi(src, length)
plot(mf, "MF", color=#7E57C2)
overbought=hline(80, title="Overbought", color=#787B86)
hline(50, "Middle Band", color=color.new(#787B86, 50))
oversold=hline(20, title="Oversold", color=#787B86)
fill(overbought, oversold, color=color.rgb(126, 87, 194, 90), title="Background")
This Money Wave Script is culled from. the Money Flow Index with visual representation to help traders identify money flow. In addition, the waves can be smoothened. Here’s a detailed overview based on its functionality, color coding, usage, risk management, and a concluding summary.
Functionality
The Money Wave Script operates as an oscillator that measures the inflow and outflow of money into an asset over a specified period. It calculates the MFI by considering both price and volume, which allows it to assess buying and selling pressures more accurately than traditional indicators that rely solely on price data.
Color Coding
The indicator employs a color-coded scheme to enhance visual interpretation:
Green Area: Indicates bullish conditions when the normalized Money wave is above zero, suggesting buying pressure.
Red Area: Indicates bearish conditions when the normalized Money wave is below zero, suggesting selling pressure.
Background Colors: The background changes to green when the MoneyWave exceeds the upper threshold (overbought) and red when it falls below the lower threshold (oversold), providing immediate visual cues about market conditions.
Usage
Traders utilize the Money Wave indicator in various ways:
Identifying Overbought and Oversold Levels: By observing the MFI readings, traders can determine when an asset may be overbought or oversold, prompting potential entry or exit points.
Spotting Divergences: Traders look for divergences between price and the MFI to anticipate potential reversals. For example, if prices are making new highs but the MFI is not, it could indicate weakening momentum.
Trend Confirmation: The indicator can help confirm trends by showing whether buying or selling pressure is dominating.
Customizable Settings: Users can adjust parameters such as the MFI length , Smoothen index and overbought/oversold thresholds to tailor the indicator to their trading strategies.
Conclusion
The Money Wave indicator is a powerful tool for traders seeking to analyze market conditions based on the flow of money into and out of assets. Its combination of price and volume analysis, along with clear visual cues, makes it an effective choice for identifying overbought and oversold conditions, spotting divergences, and confirming trends.
Butterfly Harmonic Pattern [TradingFinder] Harmonic Detector🔵 Introduction
The Butterfly Harmonic Pattern is a sophisticated and highly regarded tool in technical analysis, utilized by traders to identify potential reversal points in the financial markets. This pattern is distinguished by its reliance on Fibonacci ratios and geometric configurations, which aid in predicting price movements with remarkable precision.
The origin of the Butterfly Harmonic Pattern can be traced back to the pioneering work of Bryce Gilmore, who is credited with discovering this pattern. Gilmore's extensive research and expertise in Fibonacci ratios laid the groundwork for the identification and application of this pattern in technical analysis.
The Butterfly pattern, like other harmonic patterns, is based on the principle that market movements are not random but follow specific structures and ratios.
The pattern is characterized by a distinct "M" shape in bullish scenarios and a "W" shape in bearish scenarios, each indicating a potential reversal point. These formations are identified by specific Fibonacci retracement and extension levels, making the Butterfly pattern a powerful tool for traders seeking to capitalize on market turning points.
The precise nature of the Butterfly pattern allows for the accurate prediction of target prices and the establishment of strategic entry and exit points, making it an indispensable component of a trader's analytical arsenal.
Bullish :
Bearish :
🔵 How to Use
Like other harmonic patterns, the Butterfly pattern is categorized based on how it forms at the end of an uptrend or downtrend. Unlike the Gartley and Bat patterns, the Butterfly pattern, similar to the Crab pattern, forms outside the wave 3 range at the end of a rally.
🟣 Types of Butterfly Harmonic Patterns
🟣 Bullish Butterfly Pattern
This pattern forms at the end of a downtrend and leads to a trend reversal from a downtrend to an uptrend.
🟣 Bearish Butterfly Pattern
In contrast to the Bullish Butterfly pattern, this pattern forms at the end of an uptrend and warns analysts of a trend reversal to a downtrend. In this case, traders are encouraged to shift their trading stance from buy trades to sell trades.
Advantages and Limitations of the Butterfly Pattern in Technical Analysis :
The Butterfly pattern is considered one of the precise and stable tools in financial market analysis. However, it is always important to pay special attention to the advantages and limitations of each pattern.
Here, we review the advantages and disadvantages of using the Butterfly harmonic pattern :
The main advantage of the Butterfly pattern is providing very accurate signals.
Using Fibonacci golden ratios and geometric rules, the Butterfly pattern identifies patterns accurately and systematically. (This high accuracy significantly helps investors in making trading decisions.)
Identifying this pattern requires expertise and experience in technical analysis.
Recognizing the Butterfly pattern might be complex for beginner traders. (Correct identification of the pattern necessitates mastery over geometric principles and Fibonacci ratios.)
The Butterfly harmonic pattern might issue false trading signals. (Traders usually combine the Butterfly pattern with other technical tools to confirm buy and sell signals.)
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
Guppy Wave [UkutaLabs]█ OVERVIEW
The Guppy Wave Indicator is a collection of Moving Averages that provide insight on current market strength. This is done by plotting a series of 12 Moving Averages and analysing where each one is positioned relative to the others.
In doing this, this script is able to identify short-term moves and give an idea of the current strength and direction of the market.
The aim of this script is to simplify the trading experience of users by automatically displaying a series of useful Moving Averages to provide insight into short-term market strength.
█ USAGE
The Guppy Wave is generated using a series of 12 total Moving Averages composed of 6 Small-Period Moving Averages and 6 Large Period Moving Averages. By measuring the position of each moving average relative to the others, this script provides unique insight into the current strength of the market.
Rather than simply plotting 12 Moving Averages, a color gradient is instead drawn between the Moving Averages to make it easier to visualise the distribution of the Guppy Wave. The color of this gradient changes depending on whether the Small-Period Averages are above or below the Large-Period Averages, allowing traders to see current short-term market strength at a glance.
When the gradient fans out, this indicates a rapid short-term move. When the gradient is thin, this indicates that there is no dominant power in the market.
█ SETTINGS
• Moving Average Type: Determines the type of Moving Average that get plotted (EMA, SMA, WMA, VWMA, HMA, RMA)
• Moving Average Source: Determines the source price used to calculate Moving Averages (open, high, low, close, hl2, hlc3, ohlc4, hlcc4)
• Bearish Color: Determines the color of the gradient when Small-Period MAs are above Large-Period MAs.
• Bullish Color: Determines the color of the gradient when Small-Period MAs are below Large-Period MAs.
Bitcoin Rainbow WaveBitcoin ultimate price model:
1. Power Law + 2. Rainbow Narrowing Bands + 3. Halving Cycle Harmonic Wave + 3. Wave bands
This powerful tool is designed to help traders of all levels understand and navigate the Bitcoin market. It works exclusively with BTC on any timeframe, but looks best on weekly or daily charts. The indicator provides valuable insights into historical price behavior and offers forecasts for the next decade, making it essential for both mid-term and long-term strategies.
How the Model Works
Power Law (Logarithmic Trend) : The green line represents the expected long-term price trajectory of Bitcoin based on a logarithmic regression model (power law). This suggests that Bitcoin's price generally increases as a power of 5.44 over time passed.
Rainbow Chart : Colored bands around the power law trend line illustrate a range of potential price fluctuations. The bands narrow esponentially over time, indicating increasing model accuracy as Bitcoin matures. This chart visually identifies overbought and oversold zones, as well as fair value zones.
Blue Zone : Below the power law trend, indicating an undervalued condition and a potential buying zone.
Green Zone : Around the power law trend, suggesting fair value.
Yellow Zone : Above the power law trend, but within the rainbow bands. Exercise caution, as the price may be overextended.
Red Zone : Far above the power law trend, indicating strong overbought conditions. Consider taking profits or reducing exposure.
Halving Cycle Wave : The fuchsia line represents the cyclical wave component of the model, tied to Bitcoin's halving events (approximately every four years). This wave accounts for the price fluctuations that typically occur around halvings, with price tending to increase leading up to a halving and correct afterwards. The amplitude of the wave decreases over time as the impact of halvings potentially lessens. Additional bands around the wave show the expected range of price fluctuations, aiding traders in making informed decisions.
Customizing Parameters
You can fine-tune the model's appearance by adjusting these input parameters:
show Power Law (true/false): Toggle visibility of the power law trend line.
show Wave (true/false): Toggle visibility of the halving cycle wave.
show Rainbow Chart (true/false): Toggle visibility of the rainbow bands.
show Block Marks (true/false): Toggle visibility of the 70,000 block interval markers.
Using the Model in Your Trading Strategy
Combine this indicator with technical analysis, fundamental analysis, and risk management techniques to develop a comprehensive Bitcoin trading strategy. The model can help you identify potential entry and exit points, assess market sentiment, and manage risk based on Bitcoin's position relative to the power law trend, halving cycle wave, and rainbow chart zones.
Cumulative Delta Volume WaveIntroducing an Enhanced Version of the CDV by LonesomeTheBlue
For the original version and description check this link:
What Makes This Version Different than the original?
This enhanced version of the CDV indicator incorporates advanced signal processing techniques to bring new depth to market analysis.
Standard Deviation Bands and EMAs: These additions to the CDV offer a visual representation of significant market movements—highlighting major pumps and dumps, as well as identifying potential support and resistance levels.
Color-Coded Insights: The standard deviation bands utilize color coding based on signal processing principles. This feature becomes increasingly useful the more you zoom out, making it easier to observe and interpret market waves.
Market Maker Activity: By examining fluctuations within the standard deviation bands, traders can gauge when Market Makers are actively maneuvering to establish their long and short positions, often at the expense of retail traders.
EMA Support and Resistance: The embedded Exponential Moving Averages (EMAs) serve as dynamic support and resistance levels. Analyzing these can help traders determine the continuing strength of a market move, whether bullish or bearish.
Visual Guide to the Basics
For a clearer understanding of what this enhanced indicator can show, please refer to the image below:
And in addition to all the above one can detect relevant W and M structures way easier with this indicator ;)
On Balance Volume WaveIntroducing an Enhanced Version of the Classic OBV Indicator
The On-Balance Volume (OBV) indicator is a well-known tool among traders, celebrated for its ability to track momentum by using volume flow to predict changes in stock price. For an overview of the original OBV indicator, please visit: www.tradingview.com .
What Makes This Version Different?
This enhanced version of the OBV indicator incorporates advanced signal processing techniques to bring new depth to market analysis. Here's what sets it apart:
Standard Deviation Bands and EMAs: These additions to the OBV offer a visual representation of significant market movements—highlighting major pumps and dumps, as well as identifying potential support and resistance levels.
Color-Coded Insights: The standard deviation bands utilize color coding based on signal processing principles. This feature becomes increasingly useful the more you zoom out, making it easier to observe and interpret market waves.
Market Maker Activity: By examining fluctuations within the standard deviation bands, traders can gauge when Market Makers are actively maneuvering to establish their long and short positions, often at the expense of retail traders.
EMA Support and Resistance: The embedded Exponential Moving Averages (EMAs) serve as dynamic support and resistance levels. Analyzing these can help traders determine the continuing strength of a market move, whether bullish or bearish.
Visual Guide to the Basics
For a clearer understanding of what this enhanced indicator can show, please refer to the image below:
And in addition to all the above one can detect relevant W and M structures way easier with this indicator ;)
