Recursive Micro Zigzag🎲 Overview
Zigzag is basic building block for any pattern recognition algorithm. This indicator is a research-oriented tool that combines the concepts of Micro Zigzag and Recursive Zigzag to facilitate a comprehensive analysis of price patterns. This indicator focuses on deriving zigzag on multiple levels in more efficient and enhanced manner in order to support enhanced pattern recognition.
The Recursive Micro Zigzag Indicator utilises the Micro Zigzag as the foundation and applies the Recursive Zigzag technique to derive higher-level zigzags. By integrating these techniques, this indicator enables researchers to analyse price patterns at multiple levels and gain a deeper understanding of market behaviour.
🎲 Concept:
Micro Zigzag Base : The indicator utilises the Micro Zigzag concept to capture detailed price movements within each candle. It allows for the visualisation of the sequential price action within the candle, aiding in pattern recognition at a micro level.
Basic implementation of micro zigzag can be found in this link - Micro-Zigzag
Recursive Zigzag Expansion : Building upon the Micro Zigzag base, the indicator applies the Recursive Zigzag concept to derive higher-level zigzags. Through recursive analysis of the Micro Zigzag's pivots, the indicator uncovers intricate patterns and trends that may not be evident in single-level zigzags.
Earlier implementations of recursive zigzag can be found here:
Recursive Zigzag
Recursive Zigzag - Trendoscope
And the libraries
rZigzag
ZigzagMethods
The major differences in this implementation are
Micro Zigzag Base - Earlier implementation made use of standard zigzag as base whereas this implementation uses Micro Zigzag as base
Not cap on Pivot depth - Earlier implementation was limited by the depth of level 0 zigzag. In this implementation, we are trying to build the recursive algorithm progressively so that there is no cap on the depth of level 0 zigzag. But, if we go for higher levels, there is chance of program timing out due to pine limitations.
These algorithms are useful in automatically spotting patterns on the chart including Harmonic Patterns, Chart Patterns, Elliot Waves and many more.
在脚本中搜索"harmonic"
Zig Zag Ratio Simplified█ OVERVIEW
This indicator was to show ratio between zig zag. Ideally to find Fibonacci Retracement / Projection, Harmonic Patterns, ABCD, Elliot Wave and etc.
█ CREDITS
LonesomeTheBlue
█ FEATURES
Table can positioned by any position and font size can be resized.
█ USAGE / TIPS EXAMPLES (Description explained in each image)
Wolfe Scanner (Multi - zigzag) [HeWhoMustNotBeNamed]Before getting into the script, I would like to explain bit of history around this project. Wolfe was in the back of my mind for some time and I had several attempts so far.
🎯Initial Attempt
When I first developed harmonic patterns, I got many requests from users to develop script to automatically detect Wolfe formation. I thought it would be easy and started boasting everywhere that I am going to attempt this next. However I miserably failed that time and started realising it is not as simple as I thought it would be. I started with Wolfe in mind. But, ran into issues with loops. Soon figured out that finding and drawing wedge is more trickier. I decided will explore trendline first so that it can help find wedge better. Soon, the project turned into something else and resulted in Auto-TrendLines-HeWhoMustNotBeNamed and Wolfe left forgotten.
🎯Using predefined ratios
Wolfe also has predefined fib ratios which we can use to calculate the formation. But, upon initial development, it did not convince me that it matches visual inspection of Wolfe all the time. Hence, I decided to fall back on finding wedge first.
🎯 Further exploration in finding wedge
This attempt was not too bad. I did not try to jump into Wolfe and nor I bragged anywhere about attempting anything of this sort. My target this time was to find how to derive wedge. I knew then that if I manage to calculate wedge in efficient way, it can help further in finding Wolfe. While doing that, ended up deriving Wedge-and-Flag-Finder-Multi-zigzag - which is not a bad outcome. I got few reminders on Wolfe after this both in comments and in PM.
🎯You never fail until you stop trying!!
After 2 back to back hectic 50hr work weeks + other commitments, I thought I will spend some time on this. Took less than half weekend and here we are. I was surprised how much little time it took in this attempt. But, the plan was running in my subconscious for several weeks or even months. Last two days were just putting these plans into an action.
Now, let's discuss about the script.
🎲 Wolfe Concept
Wolfe concept is simple. Whenever a wedge is formed, draw a line joining pivot 1 and 4 as shown in the chart below:
Converging trendline forms the stop loss whereas line joining pivots 1 and 4 form the profit taking points.
🎲 Settings
Settings are pretty straightforward. Explained in the chart below.
My-HarmonicOnly Gartlay bulish and bearish patern ..it's working fine ..... If any one can do it another way plz share with me ..... And plz extend it for other harmonic pattern
ABCD Harmonic PatternsShows Bullish and Bearish AB=CD Harmonic Patterns with Pivot High, Pivot Low and Pivot Line
[fikira] Harmonic Patterns TESTAs requested a TEST script when possible future
Harmonic Patterns may occur, in this case the ABCD pattern.
When A, B, C are valid, the script will plot 2 lines between A-B and B-C, together with
2 white arrows,,where D MUST be in the future to become a valid ABCD pattern.
First of all, D MUST be a Pivot point, after which D must lay between D- and D+
In a Bearish example D- is the minimal value of D, D+ the maximum value of D.
In a Bullish example D- is the maximum value of D, D+ the minimum value of D,
either way, D must be between these 2 lines.
Since we don't know when the next possible Pivot point will occur, the white arrows
won't predict where it will happen, it just shows the max and min value.
If it doesn't become a valid ABCD Pattern, the lines just stay that way, when a valid ABCD pattern
occurs, more lines will be plotted, together with the Targets.
Do mind, the script adds a lot of lines, since there is a maximum of lines, only the last ones will
be plotted, the rest can be made visible by using the "Replay" button
Also, the script measures Pivot Points, it is not always perfect, do your own research and
see for yourself if a valid pattern is also valid for you!
Thank you!
[fikira] Harmonic Patterns 2This is "Harmonic Patterns", part 2 Open Source
(in 2 parts, otherwise many lines are gone because the script is too large):
- Crab
- Bat (+ Alt)
- Butterfly
- Shark
A "Pattern" is created by checking 5 consecutive ( pivot ) points, starting with X, A, B, C, and ending with point D.
At point D all 5 points are compared, calculated and verified.
When confirmed, a "Label" will be plotted at point D, together with the "Entry", "Take Profit" and "Stop Loss" price.
The "Entry", "Take Profit" and "Stop Loss" lines will be plotted as well at point D.
Lastly, a "Drawing" automatically will be displayed which makes the "Pattern" visible.
Please do mind, the "Drawing" is calculated differently, the "Drawing" sometimes can be displayed incorrectly
when prices are too close to each other (for example low Satoshi price changes).
THE "ENTRY", "TAKE PROFIT", "STOP LOSS" PRICES AND LINES ARE NOT AFFECTED AT ALL BY THIS, THEY WILL SHOW CORRECTLY!
- 1 "TP point" can be changed ("TP Level 0.618")
- "Labels", "Lines", "Drawings" can be disabled/enabled
- "Labels" can be made smaller or bigger ("Size Label")
- "Labels" can be placed further or closer to the bar ("Distance TP Label" > higher = closer, lower = further)
- "Lines" can be made thicker or thinner ("TP Linewidth")
- "Drawings" can be made thicker or thinner ("Drawings Linewidth")
- "Drawings" are created by comparing with 100 bars back in history (default), should it be (very rarely) a triangle is displayed flat on the left side,
possibly the first point(s) is/are further than 100 bars ago, in this case increase "Period Drawings" above 100.
- Animal symbols can be enabled/disabled
- When several "Patterns" appear on the chart, the oldest ones won't be displayed anymore, first the "Drawings", then the "Lines"
The last (present) ones will always be displayed in total without a problem!
- If you want to see "Patterns" with less correct measurement, change "Error Marge" 0.9 - 1" and "Error Marge" 1 - 1.1"), this gives max. about 10% extra margin
- Added more settings regarding "Drawing Lines"
Thank you very much!
ROC + dROC + d2ROC (with z-scores & percentiles)This indicator measures how price momentum is changing — not just whether it’s rising or falling, but how quickly that change itself is accelerating or slowing. It starts with the Rate of Change (ROC), which shows how much price has moved over a set period. The first derivative (ΔROC) tracks how ROC is changing from bar to bar, and the second derivative (Δ²ROC) shows whether that change is speeding up or fading — essentially the “acceleration” of momentum. Positive Δ²ROC means momentum is strengthening; negative means it’s weakening. The script also quantifies how extreme those shifts are using z-scores and percentiles, helping spot Druckenmiller-style turning points where trends often begin or end.
Wolfe Wave Detector [LuxAlgo]The Wolfe Wave Detector displays occurrences of Wolfe Waves, alongside a target line. A multiple swing detection approach is used to maximize the number of detected waves.
The indicator includes a dashboard with the number of detected waves, as well as the number of reached targets.
🔶 USAGE
The Wolfe Wave pattern is a chart pattern composed of five segments, with the initial segment extremities (points XABCD) forming a channel containing price variations.
After the price reaches point D , we can expect a reversal toward a target line (point E ). The target line is obtained by connecting and extending point X -> C .
The script draws the XABCD pattern and a projection of where E might potentially be located.
The projection is derived from the intersection between the target line and a line starting from D , parallel to B-C . From this line, margins are added, left and right, creating a wedge-shaped figure in most cases.
When the price passes the target line, this is highlighted by a dot. The dot and pattern are green by default when the target is above D and red when the target is below D . Colors can be edited in the settings. The dashed target line is colored in the opposite color.
As seen in the above example, the price trend can reverse after reaching the target line.
🔹 Symmetry
Ideally, the Wolfe Wave must have a degree of symmetry; every upward line should have a similar angle to the other upward lines, and the same should be true for the downward lines.
Also, the lines forming the channel should be as parallel as possible.
Users have the option to adjust the tolerance:
Margin controls the wave symmetry of the pattern
Angle controls the channel symmetry of the pattern
It's important to note that in both cases, a lower number will lead to more symmetrical patterns, but they may appear less frequently.
It is also important to note that increasing the Margin can delay validating the pattern. In the meantime, the price could surpass the channel in the opposite direction, invalidating and deleting the otherwise valid pattern.
🔹 Multiple Swings
Users can set a Minimum Swing length (for example 2) and a Maximum Swing length (for example 100) which defines the range of the swing point detection length, higher values for these settings will detect longer-term Wolfe patterns, while a larger range will allow for the detection of a larger number of patterns.
By using multiple swings, it is possible to find smaller next to larger patterns at the same time.
The dashboard shows the number of patterns found and targets reached. When, for example, bullish patterns are disabled in the settings, the dashboard only shows the results of bearish patterns.
🔹 Extend Target Line
The publication includes a setting that allows the Target Line to be extended up to 50 bars further. As seen in the above example, the Target Line can still be reached even after the pattern has been finalized. Once the Target Line is reached, it won't be updated further.
Here is another example of a Target Line being reached later on.
The Target Line acted as a support level, after which where the price changed direction.
🔹 Show Progression
An option is included to show the progression before the pattern is completed. Users can make use of the XABC pattern or visualize where point D should be positioned.
The focus lies on the bar range (between the left and right borders of the grey rectangle). The pattern is considered invalid and deleted when point D is beyond these limits. The height of the rectangle is optional. Ideally, the price should be located between the top and bottom of the rectangle, but it is not mandatory.
Show Progression has three options including:
Full: Show all lines of XABC plus line C-D and rectangle for the position of point D
Partial: Show line C-D and rectangle for the position of point D
None: Only show valid completed patterns
The 'Partial' option in the 'Show Progression' feature is designed to help users locate the desired position of point D without the visual clutter caused by the XABC lines. This can be useful for those who prefer a cleaner visual representation of the evolving pattern.
🔶 SETTINGS
🔹 Swing Length
Minimum: Minimum length used for the swing detection.
Maximum Swing Length: Maximum length used for the swing detection.
🔹 Tolerance
Margin: Influences the symmetry of the pattern; with a higher number allowing for less symmetry.
Angle: Influences the symmetry of the channel; with a higher number allowing for less symmetry.
🔹 Style
Toggle: Bullish/Bearish + colors
Extend Target Line: Extend a maximum of 50 bars or until Target Line is reached
Show Progression: Show pattern progression
Dot Size: The size of the dot when the Target Line is reached
🔹 Dashboard
Show Dashboard: Toggle dashboard which shows the number of found patterns and targets reached.
Location: Location of the dashboard on the chart.
Text Size: Text size.
🔹 Calculation
Calculated Bars: Allows the usage of fewer bars for performance/speed improvement
zenba kit basic
interaction between 9 moving average and 108 moving average.
gradient filled zones.
200 moving average with color change.
vwap & standard deviations +/- 1.01
retrowave auroral style coloring
Fib Retrace + Extensions (v6– safe version) v 1🌀 Fib Extension Plus Retracement Strategy: Complete Overview
📊 Purpose and Core Idea
The Fib Extension Plus Retracement Strategy is a hybrid price-action methodology that blends Fibonacci Retracement and Fibonacci Extension tools to map high-probability entry, exit, and target zones within trending markets.
It is designed for precision timing, measured risk exposure, and trend-continuation trading.
By uniting both retracement and extension logic, traders can capture the entire lifecycle of a move — from the pullback phase to the breakout and projected expansion wave.
Indicator: Profitability by Day & Hour (stacked, non-overlay)What it does
This tool performs a simple seasonality study on the selected symbol. It measures historical returns and summarizes them in two horizontal heatmaps:
Hours table (top) — Columns 00–23 show the average return of each clock hour, plus sample size, win rate, volatility (SD), and a t-score.
Days table (middle) — Columns 1–7 correspond to Mon–Sun with the same metrics.
Summary (bottom) — Shows the most profitable day and hour in the history loaded on your chart.
Green cells indicate higher average returns; red cells indicate lower/negative averages. The layout is centered on the screen, with the hours table above the days table for quick scanning.
How it works (methodology)
Returns: by default the indicator uses log returns ln(Ct/Ct-1) (you can switch to simple % if you prefer).
Daily aggregation (no look-ahead): day statistics are computed from completed daily closes via a higher timeframe request. Yesterday’s daily close vs. the prior day is added to the appropriate weekday bucket, preventing repaint/forward bias.
Hourly aggregation (intraday only): hour statistics are computed bar-to-bar on the current intraday timeframe and accumulated by clock hour (00–23) of the symbol’s exchange timezone.
Metrics per bucket:
Mean: average return in that bucket.
n: number of observations.
Win%: share of positive returns.
SD: standard deviation of returns (volatility proxy).
t-score: mean / SD * sqrt(n) — a quick stability signal (not a hypothesis test).
The indicator does not rely on future data and does not repaint past values.
Reading the tables
Start with the Mean row in each table: it’s color-mapped (red → yellow → green).
Check n (sample size). A bright green cell with very low n is less meaningful than a mild green cell with large n.
Use Win% and SD to judge consistency and noise.
t-score is a compact “signal-to-noise × sample size” measure; higher absolute values suggest more stable effects.
Typical observations traders look for (purely illustrative): for some equity indices, the first hour after the cash open can dominate; for FX/crypto, certain late-US or early-Asia hours sometimes stand out. Always verify on your symbol and timeframe.
Normalized Open InterestNormalized Open Interest (nOI) — Indicator Overview
What it does
Normalized Open Interest (nOI) transforms raw futures open-interest data into a 0-to-100 oscillator, so you can see at a glance whether participation is unusually high or low—similar in spirit to an RSI but applied to open interest. The script positions today’s OI inside a rolling high–low range and paints it with contextual colours.
Core logic
Data source – Loads the built-in “_OI” symbol that TradingView provides for the current market.
Rolling range – Looks back a user-defined number of bars (default 500) to find the highest and lowest OI in that window.
Normalization – Calculates
nOI = (OI – lowest) / (highest – lowest) × 100
so 0 equals the minimum of the window and 100 equals the maximum.
Visual cues – Plots the oscillator plus fixed horizontal levels at 70 % and 30 % (or your own numbers). The line turns teal above the upper level, red below the lower, and neutral grey in between.
User inputs
Window Length (bars) – How many candles the indicator scans for the high–low range; larger numbers smooth the curve, smaller numbers make it more reactive.
Upper Threshold (%) – Default 70. Anything above this marks potentially crowded or overheated interest.
Lower Threshold (%) – Default 30. Anything below this marks low or capitulating interest.
Practical uses
Spot extremes – Values above the upper line can warn that the long side is crowded; values below the lower line suggest disinterest or short-side crowding.
Confirm breakouts – A price breakout backed by a sharp rise in nOI signals genuine engagement.
Look for divergences – If price makes a new high but nOI does not, participation might be fading.
Combine with volume or RSI – Layer nOI with other studies to filter false signals.
Tips
On intraday charts for non-crypto symbols the script automatically fetches daily OI data to avoid gaps.
Adjust the thresholds to 80/20 or 60/40 to fit your market and risk preferences.
Alerts, shading, or additional signal logic can be added easily because the oscillator is already normalised.
DCI### 📌 **DCI – Direction Correlation Index**
#### 🔹 **What It Is**
The **Direction Correlation Index (DCI)** is a tool for measuring how closely a group of up to 10 symbols move together in both *trend correlation* and *short-term direction*. It helps identify whether a group of assets is acting in unison or moving independently.
---
#### ⚙️ **How It Works**
DCI outputs three key metrics:
1. **Average Correlation**
* Measures the average of all pairwise correlations between the selected symbols.
* Prices are first standardized using a z-score (based on simple moving average and standard deviation over a user-defined lookback period).
* Correlation is calculated using Pearson’s method for all 45 symbol pairs.
* Result ranges from:
* `+1.00` = strong positive correlation
* `0.00` = no correlation
* `-1.00` = strong inverse correlation
2. **Direction Agreement %**
* Checks whether each symbol is moving up or down compared to its previous bar.
* Calculates the percentage of symbols moving in the same direction.
* For example: if 7 of 10 symbols are moving up and 3 are moving down, the direction agreement is 70%.
3. **Strong Correlation Count**
* Counts how many of the 45 symbol pairs have an absolute correlation above `0.7`.
* Helps highlight how many pairs are currently highly correlated.
---
#### 📈 **How to Use It**
1. **Select Symbols**
* In the **Settings**, you can input up to 10 custom symbols. These can be stocks, indices, forex pairs, crypto, or any tradable asset.
2. **Adjust the Lookback Period**
* Defines how many bars back are used to calculate z-scores and correlations.
* Default is `12`. Use shorter periods for faster response; longer periods for smoother, slower data.
3. **Interpret the Table (Plotted on Chart)**
* **Avg Corr**: Tells you how much the group is co-moving. High correlation often reflects unified market behavior.
* **Dir Agr %**: Shows directional sync. High values mean most instruments are trending the same way in the current bar.
* **> 0.7**: The number of pairs currently strongly correlated (|corr| > 0.7).
---
#### 🧠 **Practical Usage Tips**
* Use DCI to monitor **sector alignment**, **portfolio behavior**, or **market group momentum**.
* Confirm trend strength by checking if high correlation aligns with a strong direction agreement.
* Low correlation + mixed direction can signal **choppy or indecisive markets**.
* High correlation + strong direction = **trend confirmation** across your selected instruments.
- Made with DeepSeek
Cap's Dual Auto Fib RetracementThis will draw both a bullish retracement and a bearish retracement. It's defaulted to just show the 0.618 level as I feel like this is the "make or break" level.
- A close below the bullish 0.618 retracement would be considered very bearish.
- A close above the bearish 0.618 would be considered very bullish.
(You can still configure whichever levels you want, however.)
This script was removed by TradingView last time it was published. I couldn't find another script that would provide both bearish/bullish retracements, so I'm assuming this is "original" enough. Maybe it was removed because the description wasn't long enough, so...
Detailed Description:
This indicator automatically plots Fibonacci retracement levels based on zigzag pivot points for both bullish (low-to-high) and bearish (high-to-low) price movements. It identifies key pivot points using a customizable deviation multiplier and depth setting, then draws Fibonacci levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1) with user-defined visibility and colors for each level.
Features:
Deviation: Adjusts sensitivity for detecting pivots (default: 2).
Depth: Sets minimum bars for pivot calculation (default: 10).
Extend Lines: Option to extend lines left, right, or both.
Show Prices/Levels: Toggle price and level labels, with options for value or percentage display.
Labels Position: Choose left or right label placement.
Background Transparency: Customize fill transparency between levels.
Alerts: Triggers when price crosses any Fibonacci level.
Usage: Apply to any chart to visualize potential support/resistance zones. Adjust settings to suit your trading style. Requires sufficient data; use lower timeframes or reduce depth if pivots are not detected.
Note: This is a technical analysis tool and does not provide trading signals or financial advice. Always conduct your own research.
2013-2025 Moon Phases & Mercury RetrogradesIndicator Description: 2013-2025 Moon Phases & Mercury Retrogrades
This Pine Script (version 5) indicator overlays key astrological events on a TradingView chart, specifically tracking full moons, new moons, and Mercury retrograde periods from 2013 to 2025. It is designed to help traders and astrology enthusiasts visualize these celestial events alongside price action, potentially identifying correlations or patterns.
Features:
New Moons:
Visualization: Plotted as small white circles above the price bars.
Data: Includes 156 specific new moon dates from January 11, 2013, to December 20, 2025.
Purpose: Marks the start of the lunar cycle, often associated with new beginnings or shifts in energy.
Full Moons:
Visualization: Plotted as small orange circles above the price bars.
Data: Includes 157 specific full moon dates from January 27, 2013, to December 15, 2025.
Purpose: Highlights the peak of the lunar cycle, often linked to heightened emotions or market volatility in astrological analysis.
Mercury Retrogrades:
Visualization: Displayed as a light red background highlight across the chart.
Data: Covers 39 Mercury retrograde periods, with precise start and end timestamps from February 23, 2013, to November 29, 2025.
Purpose: Indicates periods traditionally associated with communication issues, delays, or reversals, which some traders monitor for potential market impacts.
Technical Details:
Overlay: The indicator is set to overlay=true, meaning it displays directly on the price chart rather than in a separate pane.
Date Matching: Uses a helper function is_date(y, m, d) to check if the current chart date matches any of the predefined event dates, leveraging TradingView's year, month, and dayofmonth variables.
Visualization Methods:
plotshape: Used for new moons (white circles) and full moons (orange circles), positioned above bars for clear visibility.
bgcolor: Used for Mercury retrograde periods, applying a semi-transparent red highlight (transparency level 85) to the background during active retrograde periods.
Time Range: Spans from January 2013 to December 2025, providing a comprehensive 13-year view of these astrological events.
Usage:
Add the script to your TradingView chart to see new moons, full moons, and Mercury retrograde periods overlaid on your chosen symbol and timeframe.
The white and orange circles appear on specific dates, while the red background highlights extend across the duration of each Mercury retrograde period.
Useful for traders incorporating astrology into their analysis or anyone interested in tracking these celestial events alongside financial data.
Notes:
The script assumes accurate date data as provided; users should verify dates against astronomical sources if precision is critical.
The transparency of the Mercury retrograde background can be adjusted by modifying the value in color.new(color.red, 85) (0 = fully opaque, 100 = fully transparent).
Best viewed on daily or higher timeframes for clarity, though it works on any timeframe supported by TradingView.
This indicator provides a visual tool to explore the potential influence of lunar phases and Mercury retrograde periods on market behavior, blending astrology with technical analysis in a clear, customizable format.
Support and Resistance Non-Repainting [AlgoAlpha]Elevate your technical analysis with the Non-Repainting Support and Resistance indicator from AlgoAlpha. Designed for traders who value precision, this tool highlights key support and resistance zones without repainting, ensuring reliable signals for better market decisions.
Key Features
🔍 Concise Zones: Identifies critical levels in real-time without repainting.
🖍 Customizable Appearance: Choose your preferred colors for bullish and bearish zones.
📏 Pivot Sensitivity Settings: Adjust the lookback period to fit different market conditions.
🔔 Visual Alerts: Highlights zones on your chart with clear, dynamic boxes and lines.
How to Use
Add the Indicator : Add it to your favorites chart by clicking the star icon. Adjust the lookback period, max zone duration, and colors to match your strategy.
Analyze the Chart : Look for zones where prices frequently react, indicating strong support or resistance.
Set Alerts : Enable notifications for new zone formations and zone invalidations, ensuring you never miss critical market moves.
How It Works
The indicator detects pivot highs and lows using a specified lookback period. When a pivot is confirmed, it draws corresponding support or resistance zones using TradingView’s built-in drawing tools. These zones extend until price breaks through them or they expire based on a maximum allowed duration. The indicator continuously checks if price interacts with any active zones and adjusts accordingly, ensuring accurate and real-time visualization.
Marcos Ruiz :Price Change Speed Descripción:
Este indicador en Pine Script está diseñado para analizar y visualizar dinámicamente la velocidad de los cambios de precio en un gráfico de TradingView. El indicador permite a los usuarios seleccionar diferentes tipos de medias móviles y fuentes de precios para calcular y mostrar el cambio porcentual en el precio durante un período especificado
Características:
Selección de Fuente de Precio: Elige entre cierre, apertura, alto, o bajo para los cálculos de precios
Tipos de Media Móvil: Selecciona entre SMA, WMA, EMA, HMA, o VWMA para determinar la media móvil utilizada en el cálculo de la velocidad promedio
Coloreado Dinámico: El color de la línea de la media móvil cambia según la velocidad de cambio de precio
Aumento de Velocidad: Cuando la velocidad del cambio de precio está aumentando, la media móvil se colorea según upColor definido por el usuario
Disminución de Velocidad: Cuando la velocidad está disminuyendo, la media móvil se colorea según downColor definido por el usuario
Posición Neutral: Coloreado adicional para escenarios donde el precio está por encima o por debajo de la media móvil, pero no cumple con las condiciones de aumento/disminución
Factor de Refuerzo: Ajusta la sensibilidad del cálculo del cambio de velocidad
Uso:
Parámetros de Entrada:
Define el Período para establecer la ventana de retroceso para calcular la velocidad
Elige la Fuente de Precio para determinar qué datos de precios usar
Selecciona el Tipo de Media Móvil y ajusta la Longitud de EMA para la comparación
Interpretación:
El indicador traza la media móvil seleccionada con colores dinámicos basados en la velocidad calculada del cambio de precio
Los cambios positivos y negativos en la velocidad se indican con diferentes colores, proporcionando una representación visual del momento y la fuerza de la tendencia del precio
Nota: Este script es el resultado de un desarrollo y pruebas extensivas. Se agradecen mucho sus comentarios y contribuciones
Description:
This Pine Script indicator is designed to dynamically analyze and visualize the speed of price changes on a TradingView chart. The indicator allows users to select different moving average types and price sources to compute and display the percentage change in price over a specified period
Features:
Price Source Selection: Choose from close, open, high, or low for price calculations
Moving Average Types: Select from SMA, WMA, EMA, HMA, or VWMA to determine the moving average used for computing average speed
Dynamic Coloring: The moving average line's color changes based on the speed of price change
Increasing Speed: When the price change speed is increasing, the moving average is colored according to the user-defined upColor
Decreasing Speed: When the speed is decreasing, the moving average is colored according to the user-defined downColor
Neutral Position: Additional coloring for scenarios where the price is above or below the moving average but not meeting the increase/decrease conditions
Reinforcement Factor: Adjusts the sensitivity of the speed change calculation
Usage:
Input Parameters:
Set the Period to define the lookback window for calculating speed
Choose the Price Source to determine which price data to use
Select the Moving Average Type and adjust the EMA Length for comparison
Interpretation:
The indicator plots the selected moving average with dynamic colors based on the calculated speed of price change
Positive and negative changes in speed are indicated by different colors, providing a visual representation of price momentum and trend strength
Note: This script is the result of extensive development and testing. Your feedback and contributions are highly appreciated
Logarithmic and Linear Fibonacci LevelsIntroduction
Fibonacci levels are a technical analysis tool used by some traders to identify potential support and resistance levels. The principle for determining these levels is to take the distance between selected reference high and low points (swing high and swing low in general) as 1 unit and mark the ratios derived from the Fibonacci sequence, such as 0.236, 0.382, 0.618, etc., over this 1 unit. In the conventional method of level determination, the 1 unit is divided into equal distances within itself, and Fibonacci levels are determined based on these equal distances. These types of levels are called Linear Levels . A relatively less common method involves dividing the 1 unit into progressively smaller, more accurately described as proportionally equal, distances and determining Fibonacci levels based on these distances. These types are called Logarithmic Levels . The purpose of this indicator is to provide ease of use in determining both Linear and Logarithmic levels.
Where can it be Used?
Logarithmic Levels can be used in any instrument where volatility is high for any reason. Specifically in crypto, Logarithmic Levels work very well for BINANCE:BTCUSDT (to observe this, please study the wick from January 23, 2024). As another example, Logarithmic Levels can be used to identify potential accumulation and distribution schemes in altcoins with relatively high volume and market capitalization (refer to the chart provided above BINANCE:FETUSDT ). Additionally, when analyzing traditional markets, Logarithmic Levels can be beneficial for stocks with highly inflated or deflated prices (e.g., NASDAQ:TSLA , NASDAQ:NVDA ), in stock markets of countries battling high inflation (e.g., BIST:XU100 ), or in currency pairs of countries experiencing a recession (e.g., FX_IDC:JPYUSD ).
How can it be Used?
It is designed similarly to the Fibonacci Tool provided by Trading View to ensure users feel familiar with it. When you start the indicator, select the reference levels (Level 1 and Level 0), then click on the indicator settings to choose specific levels and customize them according to your preferences.
What Makes it Unique?
Indeed, in the Fibonacci Tool provided by Trading View, we can see both linear and logarithmic levels. However, to view logarithmic levels, it is necessary to switch the relevant instrument's Super Chart to a logarithmic scale. This causes the levels we want to remain 'linear' to also be displayed in their logarithmic form, potentially leading to errors in other indicators we use, incorrect functioning of trend lines drawn in linear scaling, and so on. Additionally, when the Super Chart is scaled logarithmically, it prevents the ability to set alerts for prices and trend lines. This indicator was created to avoid these problems without needing to change the chart's scaling method and to allow the simultaneous viewing of both Linear and Logarithmic levels.
Large Shadow Detector V.1Large Shadow Detector for TradingView
This Pine Script indicator highlights candles with shadows (wicks) exceeding a customizable threshold in points on the XAU/USD chart, specifically for the 1-hour timeframe.
Key Features:
Customizable Shadow Threshold: An input field allows users to set the threshold for detecting large shadows. The default is set to 3400 points.
Upper and Lower Shadows Calculation: The script calculates the upper and lower shadows of each candle.
Condition Checks: It checks if the shadows exceed the defined threshold.
Visual Indicators: Red triangles are plotted above candles with large upper shadows, and green triangles are plotted below candles with large lower shadows.
Adaptive Trend Lines [MAMA and FAMA]Updated my previous algo on the Adaptive Trend lines, however I have added new functionalities and sorted out the settings.
You can now switch between normalized and non-normalized settings, the colors have also been updated and look much better.
The MAMA and FAMA
These indicators was originally developed by John F. Ehlers (Stocks & Commodities V. 19:10: MESA Adaptive Moving Averages). Everget wrote the initial functions for these in pine script. I have simply normalized the indicators and chosen to use the Laplace transformation instead of the hilbert transformation
How the Indicator Works:
The indicator employs a series of complex calculations, but we'll break it down into key steps to understand its functionality:
LaplaceTransform: Calculates the Laplace distribution for the given src input. The Laplace distribution is a continuous probability distribution, also known as the double exponential distribution. I use this because of the assymetrical return profile
MESA Period: The indicator calculates a MESA period, which represents the dominant cycle length in the price data. This period is continuously adjusted to adapt to market changes.
InPhase and Quadrature Components: The InPhase and Quadrature components are derived from the Hilbert Transform output. These components represent different aspects of the price's cyclical behavior.
Homodyne Discriminator: The Homodyne Discriminator is a phase-sensitive technique used to determine the phase and amplitude of a signal. It helps in detecting trend changes.
Alpha Calculation: Alpha represents the adaptive factor that adjusts the sensitivity of the indicator. It is based on the MESA period and the phase of the InPhase component. Alpha helps in dynamically adjusting the indicator's responsiveness to changes in market conditions.
MAMA and FAMA Calculation: The MAMA and FAMA values are calculated using the adaptive factor (alpha) and the input price data. These values are essentially adaptive moving averages that aim to capture the current trend more effectively than traditional moving averages.
But Omar, why would anyone want to use this?
The MAMA and FAMA lines offer benefits:
The indicator offers a distinct advantage over conventional moving averages due to its adaptive nature, which allows it to adjust to changing market conditions. This adaptability ensures that investors can stay on the right side of the trend, as the indicator becomes more responsive during trending periods and less sensitive in choppy or sideways markets.
One of the key strengths of this indicator lies in its ability to identify trends effectively by combining the MESA and MAMA techniques. By doing so, it efficiently filters out market noise, making it highly valuable for trend-following strategies. Investors can rely on this feature to gain clearer insights into the prevailing trends and make well-informed trading decisions.
This indicator is primarily suppoest to be used on the big timeframes to see which trend is prevailing, however I am not against someone using it on a timeframe below the 1D, just be careful if you are using this for modern portfolio theory, this is not suppoest to be a mid-term component, but rather a long term component that works well with proper use of detrended fluctuation analysis.
Dont hesitate to ask me if you have any questions
Again, I want to give credit to Everget and ChartPrime!
Code explanation as required by House Rules:
fastLimit = input.float(title='Fast Limit', step=0.01, defval=0.01, group = "Indicator Settings")
slowLimit = input.float(title='Slow Limit', step=0.01, defval=0.08, group = "Indicator Settings")
src = input(title='Source', defval=close, group = "Indicator Settings")
input.float: Used to create input fields for the user to set the fastLimit and slowLimit values.
input: General function to get user inputs, like the data source (close price) used for calculations.
norm_period = input.int(3, 'Normalization Period', 1, group = "Normalized Settings")
norm = input.bool(defval = true, title = "Use normalization", group = "Normalized Settings")
input.int: Creates an input field for the normalization period.
input.bool: Allows the user to toggle normalization on or off.
Color settings in the code:
col_up = input.color(#22ab94, group = "Color Settings")
col_dn = input.color(#f7525f, group = "Color Settings")
Constants and functions
var float PI = math.pi
laplace(src) =>
(0.5) * math.exp(-math.abs(src))
_computeComponent(src, mesaPeriodMult) =>
out = laplace(src) * mesaPeriodMult
out
_smoothComponent(src) =>
out = 0.2 * src + 0.8 * nz(src )
out
math.pi: Represents the mathematical constant π (pi).
laplace: A function that applies the Laplace transform to the source data.
_computeComponent: Computes a component of the data using the Laplace transform.
_smoothComponent: Smooths data by averaging the current value with the previous one (nz function is used to handle null values).
Alpha function:
_computeAlpha(src, fastLimit, slowLimit) =>
mesaPeriod = 0.0
mesaPeriodMult = 0.075 * nz(mesaPeriod ) + 0.54
...
alpha = math.max(fastLimit / deltaPhase, slowLimit)
out = alpha
out
_computeAlpha: Calculates the adaptive alpha value based on the fastLimit and slowLimit. This value is crucial for determining the MAMA and FAMA lines.
Calculating MAMA and FAMA:
mama = 0.0
mama := alpha * src + (1 - alpha) * nz(mama )
fama = 0.0
fama := alpha2 * mama + (1 - alpha2) * nz(fama )
Normalization:
lowest = ta.lowest(mama_fama_diff, norm_period)
highest = ta.highest(mama_fama_diff, norm_period)
normalized = (mama_fama_diff - lowest) / (highest - lowest) - 0.5
ta.lowest and ta.highest: Find the lowest and highest values of mama_fama_diff over the normalization period.
The oscillator is normalized to a range, making it easier to compare over different periods.
And finally, the plotting:
plot(norm == true ? normalized : na, style=plot.style_columns, color=col_wn, title = "mama_fama_diff Oscillator Normalized")
plot(norm == false ? mama_fama_diff : na, style=plot.style_columns, color=col_wnS, title = "mama_fama_diff Oscillator")
Example of Normalized settings:
Example for setup:
Try to make sure the lower timeframe follows the higher timeframe if you take a trade based on this indicator!
Unmitigated Liquidity Imbalances [AlgoAlpha]🎉 Introducing the Unmitigated Liquidity Imbalance Indicator by AlgoAlpha! 🎉
Dive into the depths of market analytics with our "Unmitigated Liquidity Imbalance" indicator. This tool harnesses unique algorithms to detect liquidity imbalances between bulls and bears, helping traders spot trends and potential entry and exit points with greater accuracy. 📈🚀
🔍 Key Features:
🌟 Advanced Analysis : Analyses candle direction and length to forecast market peaks and valleys.
🎨 Customizable Visuals : Tailor the chart with your choice of bullish green or bearish red to reflect different market conditions.
🔄 Real-Time Updates : Continuously updates to reflect live market changes.
🔔 Configurable Alerts : Set up alerts for key trading signals such as bullish and bearish reversals, as well as trend shifts.
📐 How to Use:
🛠 Add the Indicator : Add the indicator to your favourites and customize the settings to suite your needs.
📊 Market Analysis : Monitor the oscillator threshold; readings above 0.5 suggest bullish sentiment, while below 0.5 indicate bearish conditions. And reversal signals are displayed to show potential entry points.
🔔 Set Alerts : Enable notifications for reversal conditions or trend changes to seize trading opportunities without constant chart watching.
🧠 How It Works:
The core mechanism of the indicator is based on detecting changes in candlestick size and direction to identify bullish and bearish liquidity levels from the peak & valley indicator's logic. By comparing the length of a current candle to the previous one and checking the change in direction, it pinpoints moments where market sentiment could be shifting, indicating if the liquidity at that point is bullish or bearish. The script then looks at what percentage of the past few unmitigated levels are bullish or bearish based on a customizable lookback and determines the liquidity imbalance which can then be interpreted as trend.
Empower your trading with the Unmitigated Liquidity Imbalance indicator and navigate the markets with confidence and precision. 🌟💹
Happy trading, and may your charts be ever in your favour! 🥳✨
💎 Related Indicator
Dynamic Sine Wave The Dynamic Sine Wave is designed to calculate a sine wave that reflects the oscillations between the highest high and lowest low points over a specified period, providing traders with a unique perspective on market trends.
Why a Sine Wave is Relevant:
A sine wave is relevant in this context because it is a mathematical function that represents periodic oscillations, making it suitable for capturing the cyclic nature of price movements in financial markets.
By using a sine wave, this indicator highlights the repetitive patterns of price highs and lows over a specified period, which can assist traders in identifying potential trend reversals or continuations.
The sine wave's amplitude and frequency are adjusted based on the highest high and lowest low points, ensuring that it adapts to market volatility and provides a dynamic representation of price action.
Overall, the "Dynamic Sine Wave" indicator offers a unique perspective on market dynamics, helping traders make informed decisions by visualizing the ebb and flow of prices.
