Levels Strength Index [BigBeluga]Levels Strength Index provides a unique perspective on market strength by comparing price positions relative to predefined levels, delivering a dynamic probability-based outlook for potential up and down moves.
🔵 Idea:
The Levels Strength Index analyzes the price position against a series of calculated levels, assigning probabilities for upward and downward movements. These probabilities are displayed in percentage form, providing actionable insights into market momentum and strength. The color-coded display visually reinforces whether the price is predominantly above or below key levels, simplifying trend analysis.
🔵 Key Features:
Dynamic Probability Calculation: The indicator compares the current price position relative to 10 predefined levels, assigning an "Up" and "Down" percentage. For example, if the price is above 8 levels, it will display 80% upward and 20% downward probabilities.
Color-Coded Trend Visualization: When the price is above the majority of levels, the display turns green, signaling strength. Conversely, when below, it shifts to orange, reflecting bearish momentum.
Clear Up/Down Probability Labels: Probabilities are displayed with directional arrows next to the price, instantly showing the likelihood of upward or downward moves.
Probability-Based Price Line: The price line is color-coded based on the probability percentages, allowing a quick glance at the prevailing trend and market strength. This can be toggled in the settings.
Customizable Transparency: Adjust the transparency of the levels to seamlessly integrate the indicator with your preferred chart setup.
Fully Configurable: Control key parameters such as the length of levels and price color mode (trend, neutral, or none) through intuitive settings.
🔵 When to Use:
The Levels Strength Index is ideal for traders looking to:
Identify strong upward or downward market momentum using quantified probabilities.
Visualize price strength relative to key levels with intuitive color coding.
Supplement existing level-based strategies by combining probabilities and market positioning.
Gain instant clarity on potential market moves with percentage-based insights.
Whether you're trading trends or ranges, this tool enhances decision-making by combining level-based analysis with a dynamic probability system, offering a clear, actionable perspective on market behavior.
Bands and Channels
Timezone Highlight v1.0Features Explained:
Customizable Time Settings:
Easily adjust the opening and closing times for each session to fit your local time zone or trading preferences.
Color-Coded Sessions:
New York : Blue
London : Yellow
Tokyo : Red
Sydney : Green
You can modify the colors or transparency in the script.
Dynamic Highlighting:
Automatically highlights the active trading session based on the current time.
This Pine Script is user-friendly and designed to provide immediate visual insights into global market activity. Let me know if you need further enhancements!
Its my first script so please don't be too strict!
Normalized Bollinger Band DistanceThis TradingView script calculates and visualizes the Normalized Bollinger Band Distance to analyze the relative spread of Bollinger Bands as a percentage of the moving average. It also determines thresholds based on global statistics to highlight unusual market conditions. Here's a detailed description:
Indicator Overview
Purpose: The indicator measures the normalized distance between the upper and lower Bollinger Bands relative to the Simple Moving Average (SMA). It helps identify periods of high or low volatility.
Visualization: Displays the normalized distance along with dynamic thresholds based on global statistical calculations (mean and standard deviation).
Inputs
Length (length): Defines the period for the SMA and Bollinger Bands calculation. Default is 200.
Standard Deviations (stdDev): Number of standard deviations for the Bollinger Bands. Default is 2.
Calculation
Bollinger Bands:
Upper Band:
SMA
+
(
Standard Deviation
×
stdDev
)
SMA+(Standard Deviation×stdDev)
Lower Band:
SMA
−
(
Standard Deviation
×
stdDev
)
SMA−(Standard Deviation×stdDev)
Normalized Distance:
Normalized Distance
=
Upper Band
−
Lower Band
SMA
Normalized Distance=
SMA
Upper Band−Lower Band
Global Statistics:
Global Mean (
𝜇
μ): Average of all normalized distances up to the current bar.
Global Standard Deviation (
𝜎
σ): Standard deviation of all normalized distances up to the current bar.
High Threshold:
𝜇
+
1.5
×
𝜎
μ+1.5×σ
Low Threshold:
𝜇
−
1.5
×
𝜎
μ−1.5×σ
Visualization
Normalized Distance Plot:
The normalized distance is plotted in blue as a percentage for easy interpretation.
Threshold Lines:
High Threshold: Red line to signal unusually high volatility.
Low Threshold: Green line to signal unusually low volatility.
Mean Line: White line indicating the average normalized distance.
Zero Line: Horizontal white line for reference.
Use Case
High Threshold Breach: Indicates an unusual increase in Bollinger Band width relative to the SMA, signaling potential high market volatility.
Low Threshold Breach: Indicates an unusual narrowing of Bollinger Band width, suggesting low volatility and potential consolidation.
Trend Analysis: Observe how the normalized distance evolves over time to anticipate market conditions.
Pi Cycle Top & Bottom OscillatorThis TradingView script implements the Pi Cycle Top & Bottom Oscillator, a technical indicator designed to identify potential market tops and bottoms using moving average relationships. Here's a detailed breakdown:
Indicator Overview
Purpose: The indicator calculates an oscillator based on the ratio of a 111-day simple moving average (SMA) to double the 350-day SMA. It identifies potential overbought (market tops) and oversold (market bottoms) conditions.
Visualization: The oscillator is displayed in a standalone pane with dynamic color coding to represent different market conditions.
Inputs
111-Day Moving Average Length (length_111): Adjustable parameter for the short-term moving average. Default is 111 days.
350-Day Moving Average Length (length_350): Adjustable parameter for the long-term moving average. Default is 350 days.
Overheat Threshold (upper_threshold): Percentage level above which the market is considered overheated. Default is 100%.
Cooling Down Threshold (lower_threshold): Percentage level below which the market is cooling down. Default is 75%.
Calculation
Moving Averages:
111-day SMA of the closing price.
350-day SMA of the closing price.
Double the 350-day SMA (
𝑚
𝑎
_
2
_
350
=
𝑚
𝑎
_
350
×
2
ma_2_350=ma_350×2).
Oscillator:
Ratio of the 111-day SMA to double the 350-day SMA, expressed as a percentage:
oscillator
=
𝑚
𝑎
_
111
𝑚
𝑎
_
2
_
350
×
100
oscillator=
ma_2_350
ma_111
×100
Market Conditions
Overheated Market (Potential Top): Oscillator >= Overheat Threshold (100% by default). Highlighted in red.
Cooling Down Market (Potential Bottom): Oscillator <= Cooling Down Threshold (75% by default). Highlighted in green.
Normal Market Condition: Oscillator is between these thresholds. Highlighted in blue.
Visual Features
Dynamic Oscillator Plot:
Color-coded to indicate market conditions:
Red: Overheated.
Green: Cooling down.
Blue: Normal condition.
Threshold Lines:
Red Dashed Line: Overheat Threshold.
Green Dashed Line: Cooling Down Threshold.
White Dashed Line: Additional high-value marker at 30 for reference.
Alerts
Overheat Alert: Triggers when the oscillator crosses the overheat threshold, signaling a potential market top.
Cooling Down Alert: Triggers when the oscillator crosses the cooling down threshold, signaling a potential market bottom.
Use Case
This script is particularly useful for traders seeking early signals of market reversals. The thresholds and dynamic color coding provide visual cues and alerts to aid decision-making in identifying overbought or oversold conditions.
HPDR Bands IndicatorThe HPDR Bands indicator is a customizable tool designed to help traders visualize dynamic price action zones. By combining historical price ranges with adaptive bands, this script provides clear insights into potential support, resistance, and midline levels. The indicator is well-suited for all trading styles, including trend-following and range-bound strategies.
Features:
Dynamic Price Bands: Calculates price zones based on historical highs and lows, blending long-term and short-term price data for responsive adaptation to current market conditions.
Probability Enhancements: Includes a probability plot derived from the relative position of the closing price within the range, adjusted for volatility to highlight potential price movement scenarios.
Fibonacci-Like Levels: Highlights key levels (100%, 95%, 88%, 78%, 61%, 50%, and 38%) for intuitive visualization of price zones, aiding in identifying high-probability trading opportunities.
Midline Visualization: Displays a midline that serves as a reference for price mean reversion or breakout analysis.
How to Use:
Trending Markets: Use the adaptive upper and lower bands to gauge potential breakout or retracement zones.
Range-Bound Markets: Identify support and resistance levels within the defined price range.
Volatility Analysis: Observe the probability plot and its sensitivity to volatility for informed decision-making.
Important Notes:
This script is not intended as investment advice. It is a tool to assist with market analysis and should be used alongside proper risk management and other trading tools.
The script is provided as-is and without warranty. Users are encouraged to backtest and validate its suitability for their specific trading needs.
Happy Trading!
If you find this script helpful, consider sharing your feedback or suggestions for improvement. Collaboration strengthens the TradingView community, and your input is always appreciated!
Directional Volume IndexDirectional Volume Index (DVI) (buying/selling pressure)
This index is adapted from the Directional Movement Index (DMI), but based on volume instead of price movements. The idea is to detect building directional volume indicating a growing amount of orders that will eventually cause the price to follow. (DVI is not displayed by default)
The rough algorithm for the Positive Directional Volume Index (green bar):
calculate the delta to the previous green bar's volume
if the delta is positive (growing buying pressure) add it to an SMA, else add 0 (also for red bars)
divide these average deltas by the average volume
the result is the Positive Directional Volume Index (DVI+) (vice versa for DVI-)
Differential Directional Volume Index (DDVI) (relative pressure)
Creating the difference of both Directional Volume Indexes (DVI+ - DVI-) creates the Differential Directional Volume Index (DDVI) with rising values indicating a growing buying pressure, falling values a growing selling pressure. (DDVI is displayed by default, smoothed by a custom moving average)
Average Directional Volume Index (ADVX) (pressure strength)
Putting the relative pressure (DDVI) in relation to the total pressure (DVI+ + DVI-) we can determine the strength and duration of the currently building volume change / trend. For the DMI/ADX usually 20 is an indicator for a strong trend, values above 50 suggesting exhaustion and approaching reversals. (ADVX is not displayed by default, smoothed by a custom moving average)
Divergences of the Differential Directional Volume Index (DDVI) (imbalances)
By detecting divergences we can detect situations where e.g. bullish volume starts to build while price is in a downtrend, suggesting that there is growing buying pressure indicating an imminent bullish pullback/order block or reversal. (strong and hidden divergences are displayed by default)
Divergences Overview:
strong bull: higher lows on volume, lower lows on price
medium bull: higher lows on volume, equal lows on price
weak bull: equal lows on volume, lower lows on price
hidden bull: lower lows on volume, higher lows on price
strong bear: lower highs on volume, higher highs on price
medium bear: lower highs on volume, equal highs on price
weak bear: equal highs on volume, higher highs on price
hidden bear: higher highs on volume, lower highs on price
DDVI Bands (dynamic overbought/oversold levels)
Using Bollinger Bands with DDVI as source we receive an averaged relative pressure with stdev band offsets. This can be used as dynamic overbought/oversold levels indicating reversals on sharp crossovers.
Alerts
As of now there are no alerts built in, but all internal data is exposed via plot and plotshape functions, so it can be used for custom crossover conditions in the alert dialog. This is still a personal research project, so if you find good setups, please let me know.
Visible and Anchored OTE chart [SYNC & TRADE]Thanks for the start @twingall
Visible and Anchored OTE chart
Indicator for visualizing price levels and optimal trading zones (OTE - Optimal Trading Entry) using Fibonacci levels.
Main features
Visualization of price ranges using two OTE zones:
OTE 70% (79-62 Fibonacci levels)
OTE 30% (21-38 Fibonacci levels)
Setting up time periods:
Ability to use a custom date range
Option to work with a higher time frame
Flexible display settings:
Choose between using candle bodies or the full range for binding
Customizable appearance of OTE boxes
Customizable text labels
Additional levels:
Middle line (50.5%)
Optional levels of 29.5%, 70.5% and 88%
Customizable Fibonacci extensions
Indicator settings
Main parameters
Use Custom Dates - enable a custom date range
Start Date/End Date - set a time range
Use Higher Timeframe - use a higher time frame
Higher Timeframe - select a higher timeframe
Setting up OTE zones
Show Fib Box - displaying OTE zones
Enable Fib Box 79-62 - enabling OTE zone 70%
Enable Fib Box 21-38 - enabling OTE zone 30%
Show Text - displaying text labels in zones
Visual design
Text Size - text size (tiny/small/medium/large)
Text Color - text color
Text Alignment - text alignment
Line Thickness - line thickness (1-4)
Line Style - line style (Solid/Dashed/Dotted)
Fibonacci levels
High/Low Lines - displaying extreme levels
Midline - displaying the middle line (50.5%)
Show 29.5 Line - additional level 29.5%
Show 70.5 Line - additional level 70.5%
Show 88 Line - additional level 88%
Extensions Fibonacci
There are 6 customizable extension levels available:
Ext#1 (default 1.0)
Ext#2 (default 1.27)
Ext#3 (default 1.62)
Ext#4 (default 2.0)
Ext#5 (default 2.62)
Ext#6 (default 3.62)
For each level, you can configure:
On/Off
Color
Meaning
Alerts
The indicator provides the following types of alerts:
Entering/Exiting OTE Zones:
Entering 70% OTE Zone
Exiting 70% OTE Zone
Entering 30% OTE Zone
Exiting 30% OTE Zone
Crossing Additional Levels:
Crossing 29.5% Level
Crossing 70.5% Level
Crossing 88% Level
Reaching Extension Levels Fibonacci:
Alerts for each configured extension level
Support for both positive and negative extensions
Usage
Add the indicator to the chart
Configure the required display parameters
Set alerts if necessary
Use OTE zones to identify potential entry points into the market
Notes
The indicator automatically updates when the visible area of the chart changes
When using a custom date range, make sure the selected period contains data
For correct operation with a higher time frame, make sure that historical data is available
Visible and Anchored OTE chart
Индикатор для визуализации ценовых уровней и зон оптимальной торговли (OTE - Optimal Trading Entry) с использованием уровней Фибоначчи.
Основные возможности
Визуализация ценовых диапазонов с помощью двух OTE зон:
OTE 70% (79-62 уровни Фибоначчи)
OTE 30% (21-38 уровни Фибоначчи)
Настройка временных периодов:
Возможность использования пользовательского диапазона дат
Опция работы с высшим таймфреймом
Гибкая настройка отображения:
Выбор между использованием тел свечей или полного диапазона для привязки
Настраиваемый внешний вид боксов OTE
Настраиваемые текстовые метки
Дополнительные уровни:
Средняя линия (50.5%)
Опциональные уровни 29.5%, 70.5% и 88%
Настраиваемые расширения Фибоначчи
Настройка индикатора
Основные параметры
Use Custom Dates - включение пользовательского диапазона дат
Start Date/End Date - установка временного диапазона
Use Higher Timeframe - использование высшего таймфрейма
Higher Timeframe - выбор высшего таймфрейма
Настройка OTE зон
Show Fib Box - отображение зон OTE
Enable Fib Box 79-62 - включение зоны OTE 70%
Enable Fib Box 21-38 - включение зоны OTE 30%
Show Text - отображение текстовых меток в зонах
Визуальное оформление
Text Size - размер текста (tiny/small/medium/large)
Text Color - цвет текста
Text Alignment - выравнивание текста
Line Thickness - толщина линий (1-4)
Line Style - стиль линий (Solid/Dashed/Dotted)
Уровни Фибоначчи
High/Low Lines - отображение крайних уровней
Midline - отображение средней линии (50.5%)
Show 29.5 Line - дополнительный уровень 29.5%
Show 70.5 Line - дополнительный уровень 70.5%
Show 88 Line - дополнительный уровень 88%
Расширения Фибоначчи
Доступно 6 настраиваемых уровней расширения:
Ext#1 (по умолчанию 1.0)
Ext#2 (по умолчанию 1.27)
Ext#3 (по умолчанию 1.62)
Ext#4 (по умолчанию 2.0)
Ext#5 (по умолчанию 2.62)
Ext#6 (по умолчанию 3.62)
Для каждого уровня можно настроить:
Включение/выключение
Цвет
Значение
Оповещения
Индикатор предоставляет следующие типы оповещений:
Вход/выход из зон OTE:
Вход в зону OTE 70%
Выход из зоны OTE 70%
Вход в зону OTE 30%
Выход из зоны OTE 30%
Пересечение дополнительных уровней:
Пересечение уровня 29.5%
Пересечение уровня 70.5%
Пересечение уровня 88%
Достижение уровней расширения Фибоначчи:
Оповещения для каждого настроенного уровня расширения
Поддержка как положительных, так и отрицательных расширений
Использование
Добавьте индикатор на график
Настройте необходимые параметры отображения
При необходимости установите оповещения
Используйте зоны OTE для определения потенциальных точек входа в рынок
Примечания
Индикатор автоматически обновляется при изменении видимой области графика
При использовании пользовательского диапазона дат убедитесь, что выбранный период содержит данные
Для корректной работы с высшим таймфреймом убедитесь в доступности исторических данных
Volatility Signaling 50SMAOverview of the Script:
The script implements a volatility signaling indicator using a 50-period Simple Moving Average (SMA). It incorporates Bollinger Bands and the Average True Range (ATR) to dynamically adjust the SMA's color based on volatility conditions. Here's a detailed breakdown:
Components of the Script:
1. Inputs:
The script allows the user to customize key parameters for flexibility:
Bollinger Bands Length (length): Determines the period for calculating the Bollinger Bands.
Source (src): The price data to use, defaulting to the closing price.
Standard Deviation Multiplier (mult): Scales the Bollinger Bands' width.
ATR Length (atrLength): Sets the period for calculating the ATR.
The 50-period SMA length (smaLength) is fixed at 50.
2. Bollinger Bands Calculation:
Basis: Calculated as the SMA of the selected price source over the specified length.
Upper and Lower Bands: Determined by adding/subtracting a scaled standard deviation (dev) from the basis.
3. ATR Calculation:
Computes the Average True Range over the user-defined atrLength.
4. Volatility-Based Conditions:
The script establishes thresholds for Bollinger Band width relative to ATR:
Yellow Condition: When the band width (upper - lower) is less than 1.25 times the ATR.
Orange Condition: When the band width is less than 1.5 times the ATR.
Red Condition: When the band width is less than 1.75 times the ATR.
5. Dynamic SMA Coloring:
The 50-period SMA is colored based on the above conditions:
Yellow: Indicates relatively low volatility.
Orange: Indicates moderate volatility.
Red: Indicates higher volatility.
White: Default color when no conditions are met.
6. Plotting the 50-Period SMA:
The script plots the SMA (sma50) with a dynamically assigned color, enabling visual analysis of market conditions.
Use Case:
This script is ideal for traders seeking to assess market volatility and identify changes using Bollinger Bands and ATR. The colored SMA provides an intuitive way to gauge market dynamics directly on the chart.
Example Visualization:
Yellow SMA: The market is in a low-volatility phase.
Orange SMA: Volatility is picking up but remains moderate.
Red SMA: Higher volatility, potentially signaling significant market activity.
White SMA: Neutral/default state.
Hourly 20 EMA on 5m ChartThis indicator shows the hourly 20ema on any current time frame that is open on your charts
IU EMA Channel StrategyIU EMA Channel Strategy
Overview:
The IU EMA Channel Strategy is a simple yet effective trend-following strategy that uses two Exponential Moving Averages (EMAs) based on the high and low prices. It provides clear entry and exit signals by identifying price crossovers relative to the EMAs while incorporating a built-in Risk-to-Reward Ratio (RTR) for effective risk management.
Inputs ( Settings ):
- RTR (Risk-to-Reward Ratio): Define the ratio for risk-to-reward (default = 2).
- EMA Length: Adjust the length of the EMA channels (default = 100).
How the Strategy Works
1. EMA Channels:
- High-based EMA: EMA calculated on the high price.
- Low-based EMA: EMA calculated on the low price.
The area between these two EMAs creates a "channel" that visually highlights potential support and resistance zones.
2. Entry Rules:
- Long Entry: When the price closes above the high-based EMA (crossover).
- Short Entry: When the price closes below the low-based EMA (crossunder).
These entries ensure trades are taken in the direction of momentum.
3. Stop Loss (SL) and Take Profit (TP):
- Stop Loss:
- For long positions, the SL is set at the previous bar's low.
- For short positions, the SL is set at the previous bar's high.
- Take Profit:
- TP is automatically calculated using the Risk-to-Reward Ratio (RTR) you define.
- Example: If RTR = 2, the TP will be 2x the risk distance.
4. Exit Rules:
- Positions are closed at either the stop loss or the take profit level.
- The strategy manages exits automatically to enforce disciplined risk management.
Visual Features
1. EMA Channels:
- The high and low EMAs are dynamically color-coded:
- Green: Price is above the EMA (bullish condition).
- Red: Price is below the EMA (bearish condition).
- The area between the EMAs is shaded for better visual clarity.
2. Stop Loss and Take Profit Zones:
- SL and TP levels are plotted for both long and short positions.
- Zones are filled with:
- Red: Stop Loss area.
- Green: Take Profit area.
Be sure to manage your risk and position size properly.
FIR Low Pass Filter Suite (FIR)The FIR Low Pass Filter Suite is an advanced signal processing indicator that applies finite impulse response (FIR) filtering techniques to price data. At its core, the indicator uses windowed-sinc filtering, which provides optimal frequency response characteristics for separating trend from noise in financial data.
The indicator offers multiple window functions including Kaiser, Kaiser-Bessel Derived (KBD), Hann, Hamming, Blackman, Triangular, and Lanczos. Each window type provides different trade-offs between main-lobe width and side-lobe attenuation, allowing users to fine-tune the frequency response characteristics of the filter. The Kaiser and KBD windows provide additional control through an alpha parameter that adjusts the shape of the window function.
A key feature is the ability to operate in either linear or logarithmic space. Logarithmic filtering can be particularly appropriate for financial data due to the multiplicative nature of price movements. The indicator includes an envelope system that can adaptively calculate bands around the filtered price using either arithmetic or geometric deviation, with separate controls for upper and lower bands to account for the asymmetric nature of market movements.
The implementation handles edge effects through proper initialization and offers both centered and forward-only filtering modes. Centered mode provides zero phase distortion but introduces lag, while forward-only mode operates causally with no lag but introduces some phase distortion. All calculations are performed using vectorized operations for efficiency, with carefully designed state management to handle the filter's warm-up period.
Visual feedback is provided through customizable color gradients that can reflect the current trend direction, with optional glow effects and background fills to enhance visibility. The indicator maintains high numerical precision throughout its calculations while providing smooth, artifact-free output suitable for both analysis and visualization.
True Amplitude Envelopes (TAE)The True Envelopes indicator is an adaptation of the True Amplitude Envelope (TAE) method, based on the research paper " Improved Estimation of the Amplitude Envelope of Time Domain Signals Using True Envelope Cepstral Smoothing " by Caetano and Rodet. This indicator aims to create an asymmetric price envelope with strong predictive power, closely following the methodology outlined in the paper.
Due to the inherent limitations of Pine Script, the indicator utilizes a Kernel Density Estimator (KDE) in place of the original Cepstral Smoothing technique described in the paper. While this approach was chosen out of necessity rather than superiority, the resulting method is designed to be as effective as possible within the constraints of the Pine environment.
This indicator is ideal for traders seeking an advanced tool to analyze price dynamics, offering insights into potential price movements while working within the practical constraints of Pine Script. Whether used in dynamic mode or with a static setting, the True Envelopes indicator helps in identifying key support and resistance levels, making it a valuable asset in any trading strategy.
Key Features:
Dynamic Mode: The indicator dynamically estimates the fundamental frequency of the price, optimizing the envelope generation process in real-time to capture critical price movements.
High-Pass Filtering: Uses a high-pass filtered signal to identify and smoothly interpolate price peaks, ensuring that the envelope accurately reflects significant price changes.
Kernel Density Estimation: Although implemented as a workaround, the KDE technique allows for flexible and adaptive smoothing of the envelope, aimed at achieving results comparable to the more sophisticated methods described in the original research.
Symmetric and Asymmetric Envelopes: Provides options to select between symmetric and asymmetric envelopes, accommodating various trading strategies and market conditions.
Smoothness Control: Features adjustable smoothness settings, enabling users to balance between responsiveness and the overall smoothness of the envelopes.
The True Envelopes indicator comes with a variety of input settings that allow traders to customize the behavior of the envelopes to match their specific trading needs and market conditions. Understanding each of these settings is crucial for optimizing the indicator's performance.
Main Settings
Source: This is the data series on which the indicator is applied, typically the closing price (close). You can select other price data like open, high, low, or a custom series to base the envelope calculations.
History: This setting determines how much historical data the indicator should consider when calculating the envelopes. A value of 0 will make the indicator process all available data, while a higher value restricts it to the most recent n bars. This can be useful for reducing the computational load or focusing the analysis on recent market behavior.
Iterations: This parameter controls the number of iterations used in the envelope generation algorithm. More iterations will typically result in a smoother envelope, but can also increase computation time. The optimal number of iterations depends on the desired balance between smoothness and responsiveness.
Kernel Style: The smoothing kernel used in the Kernel Density Estimator (KDE). Available options include Sinc, Gaussian, Epanechnikov, Logistic, and Triangular. Each kernel has different properties, affecting how the smoothing is applied. For example, Gaussian provides a smooth, bell-shaped curve, while Epanechnikov is more efficient computationally with a parabolic shape.
Envelope Style: This setting determines whether the envelope should be Static or Dynamic. The Static mode applies a fixed period for the envelope, while the Dynamic mode automatically adjusts the period based on the fundamental frequency of the price data. Dynamic mode is typically more responsive to changing market conditions.
High Q: This option controls the quality factor (Q) of the high-pass filter. Enabling this will increase the Q factor, leading to a sharper cutoff and more precise isolation of high-frequency components, which can help in better identifying significant price peaks.
Symmetric: This setting allows you to choose between symmetric and asymmetric envelopes. Symmetric envelopes maintain an equal distance from the central price line on both sides, while asymmetric envelopes can adjust differently above and below the price line, which might better capture market conditions where upside and downside volatility are not equal.
Smooth Envelopes: When enabled, this setting applies additional smoothing to the envelopes. While this can reduce noise and make the envelopes more visually appealing, it may also decrease their responsiveness to sudden market changes.
Dynamic Settings
Extra Detrend: This setting toggles an additional high-pass filter that can be applied when using a long filter period. The purpose is to further detrend the data, ensuring that the envelope focuses solely on the most recent price oscillations.
Filter Period Multiplier: This multiplier adjusts the period of the high-pass filter dynamically based on the detected fundamental frequency. Increasing this multiplier will lengthen the period, making the filter less sensitive to short-term price fluctuations.
Filter Period (Min) and Filter Period (Max): These settings define the minimum and maximum bounds for the high-pass filter period. They ensure that the filter period stays within a reasonable range, preventing it from becoming too short (and overly sensitive) or too long (and too sluggish).
Envelope Period Multiplier: Similar to the filter period multiplier, this adjusts the period for the envelope generation. It scales the period dynamically to match the detected price cycles, allowing for more precise envelope adjustments.
Envelope Period (Min) and Envelope Period (Max): These settings establish the minimum and maximum bounds for the envelope period, ensuring the envelopes remain adaptive without becoming too reactive or too slow.
Static Settings
Filter Period: In static mode, this setting determines the fixed period for the high-pass filter. A shorter period will make the filter more responsive to price changes, while a longer period will smooth out more of the price data.
Envelope Period: This setting specifies the fixed period used for generating the envelopes in static mode. It directly influences how tightly or loosely the envelopes follow the price action.
TAE Smoothing: This controls the degree of smoothing applied during the TAE process in static mode. Higher smoothing values result in more gradual envelope curves, which can be useful in reducing noise but may also delay the envelope’s response to rapid price movements.
Visual Settings
Top Band Color: This setting allows you to choose the color for the upper band of the envelope. This band represents the resistance level in the price action.
Bottom Band Color: Similar to the top band color, this setting controls the color of the lower band, which represents the support level.
Center Line Color: This is the color of the central price line, often referred to as the carrier. It represents the detrended price around which the envelopes are constructed.
Line Width: This determines the thickness of the plotted lines for the top band, bottom band, and center line. Thicker lines can make the envelopes more visible, especially when overlaid on price data.
Fill Alpha: This controls the transparency level of the shaded area between the top and bottom bands. A lower alpha value will make the fill more transparent, while a higher value will make it more opaque, helping to highlight the envelope more clearly.
The envelopes generated by the True Envelopes indicator are designed to provide a more precise and responsive representation of price action compared to traditional methods like Bollinger Bands or Keltner Channels. The core idea behind this indicator is to create a price envelope that smoothly interpolates the significant peaks in price action, offering a more accurate depiction of support and resistance levels.
One of the critical aspects of this approach is the use of a high-pass filtered signal to identify these peaks. The high-pass filter serves as an effective method of detrending the price data, isolating the rapid fluctuations in price that are often lost in standard trend-following indicators. By filtering out the lower frequency components (i.e., the trend), the high-pass filter reveals the underlying oscillations in the price, which correspond to significant peaks and troughs. These oscillations are crucial for accurately constructing the envelope, as they represent the most responsive elements of the price movement.
The algorithm works by first applying the high-pass filter to the source price data, effectively detrending the series and isolating the high-frequency price changes. This filtered signal is then used to estimate the fundamental frequency of the price movement, which is essential for dynamically adjusting the envelope to current market conditions. By focusing on the peaks identified in the high-pass filtered signal, the algorithm generates an envelope that is both smooth and adaptive, closely following the most significant price changes without overfitting to transient noise.
Compared to traditional envelopes and bands, such as Bollinger Bands and Keltner Channels, the True Envelopes indicator offers several advantages. Bollinger Bands, which are based on standard deviations, and Keltner Channels, which use the average true range (ATR), both tend to react to price volatility but do not necessarily follow the peaks and troughs of the price with precision. As a result, these traditional methods can sometimes lag behind or fail to capture sudden shifts in price momentum, leading to either false signals or missed opportunities.
In contrast, the True Envelopes indicator, by using a high-pass filtered signal and a dynamic period estimation, adapts more quickly to changes in price behavior. The envelopes generated by this method are less prone to the lag that often affects standard deviation or ATR-based bands, and they provide a more accurate representation of the price's immediate oscillations. This can result in better predictive power and more reliable identification of support and resistance levels, making the True Envelopes indicator a valuable tool for traders looking for a more responsive and precise approach to market analysis.
In conclusion, the True Envelopes indicator is a powerful tool that blends advanced theoretical concepts with practical implementation, offering traders a precise and responsive way to analyze price dynamics. By adapting the True Amplitude Envelope (TAE) method through the use of a Kernel Density Estimator (KDE) and high-pass filtering, this indicator effectively captures the most significant price movements, providing a more accurate depiction of support and resistance levels compared to traditional methods like Bollinger Bands and Keltner Channels. The flexible settings allow for extensive customization, ensuring the indicator can be tailored to suit various trading strategies and market conditions.
Weekend BoxesWeekend Box Indicator
This indicator highlights weekend trading periods by drawing color-coded boxes from Saturday to Sunday. Each box includes a percentage label showing the price change during the weekend period. Green boxes indicate positive moves, while red boxes show negative moves. Use this to easily spot and analyze weekend volatility patterns.
set for UTC +5
MCP Stop Strategy [JARUTIR]The MCP Stop Strategy is a trading tool designed to help traders lock in profits and manage risks. It is based on the concept of setting a MCP (Mental Capacity Preservation) Stop explained in the book "The Lifecycle Trade". I call it Maximum Controllable Profit Stop which helps protect profits once a stock or asset reaches a new peak. The MCP Stop is dynamically calculated based on the Buy Price and the All Time High Price (Peak Price), and is adjusted using a customizable percentage (MCP%) to retain a portion of the gains from the peak price during a drawdown.
Key Features :
MCP Stop Calculation: The script calculates the MCP Stop as:
MCP Stop = Buy Price + (Peak Price - Buy Price) x MCP%
This helps you protect a portion of your gains (defined by MCP%) as the price moves in your favor.
Flexible Buy Date Option:
You can either manually input a Buy Date or let the script automatically detect the Buy Date when the price first meets or exceeds the user-defined Buy Price.
After the Buy Date, the MCP Stop, Buy Price, and Peak Price are plotted on the chart for easy visualization.
Customizable Parameters:
Buy Price: The price at which the asset was bought.
MCP Percentage: The percentage of profit from the peak that you want to retain in case of a drawdown.
Lookback Length: The number of bars to consider when calculating the Peak Price (All Time High).
How to Use the Script :
Set the Buy Price: Enter the price at which you bought the asset.
Set the MCP%: Enter the percentage of profits you want to protect from the peak. For example, if you want to retain 10% of the gain from the peak, set this to 10.
Choose the Buy Date Method:
Automated Buy Date: The script will automatically detect the first bar where the price meets or exceeds the Buy Price.
Manual Buy Date: If you prefer to specify a particular Buy Date, input the desired date and time.
View the MCP Stop and Peak Price: After the Buy Date (either manually or automatically detected), the MCP Stop, Buy Price, and Peak Price will be plotted on the chart.
Monitor the MCP Stop Trigger: The script will alert you when the price falls below the MCP Stop, indicating a potential exit point to protect profits.
Frequently Asked Questions (FAQs):
1. What is the MCP Stop?
The MCP Stop is a dynamic stop-loss level that adjusts based on your Buy Price and the All Time High Price (Peak Price). It protects a portion of your gains from the peak, which is defined by the MCP%. For example, if you set the MCP% to 10%, the script will retain 10% of the gains from the peak and use this as a stop-loss.
2. How does the Buy Date work?
The Buy Date is the date when you entered the position:
If you choose Automated Buy Date, the script will automatically set the Buy Date to the first bar when the price meets or exceeds the Buy Price.
If you choose Manual Buy Date, you can specify a particular date and time when you want the strategy to start calculating and plotting the MCP Stop and Peak Price.
3. What happens if the price falls below the MCP Stop?
If the price drops below the MCP Stop, the script will mark this as a potential exit point, helping you protect profits. A visual alert (MCP STOP) will be shown on the chart when the price reaches or falls below the MCP Stop.
4. Can I adjust the Lookback Length for Peak Price?
Yes, you can customize the Lookback Length (the number of bars the script considers when calculating the Peak Price) by entering a value in the input field. By default, it is set to 1000 bars, which represents a few months of historical data, but you can increase or decrease this based on your trading strategy.
5. Why would I want to use the automated Buy Date?
The Automated Buy Date is useful for traders who want the script to automatically track the Buy Date when the price first reaches or exceeds the Buy Price. This is helpful when you're unsure of the exact entry date but know the price at which you bought the asset. It simplifies the process by eliminating the need for manual input.
6. Can I use this strategy for long and short positions?
The current version of this script is designed for long positions, where you buy an asset and want to protect your profits as the price increases. If you're interested in applying it to short positions, you would need to adjust the logic accordingly (e.g., tracking the lowest price instead of the peak price).
7. Can I modify the script to fit my trading strategy?
Yes, this script is highly customizable. You can adjust parameters such as Buy Price, MCP%, and Lookback Length to suit your specific trading style. You can also tweak the visual appearance of the plotted lines and alerts.
Disclaimer:
This strategy is intended for educational purposes only. It should not be considered financial advice. Always perform your own research and consult with a professional before making any trading decisions. Trading involves significant risk, and you should never trade with money you cannot afford to lose.
Market StructureThis is an advanced, non-repainting Market Structure indicator that provides a robust framework for understanding market dynamics across any timeframe and instrument.
Key Features:
- Non-repainting market structure detection using swing highs/lows
- Clear identification of internal and general market structure levels
- Breakout threshold system for structure adjustments
- Integrated multi-timeframe compatibility
- Rich selection of 30+ moving average types, from basic to advanced adaptive variants
What Makes It Different:
Unlike most market structure indicators that repaint or modify past signals, this implementation uses a fixed-length lookback period to identify genuine swing points.
This means once a structure level or pivot is identified, it stays permanent - providing reliable signals for analysis and trading decisions.
The indicator combines two layers of market structure:
1. Internal Structure (lighter lines) - More sensitive to local price action
2. General Structure (darker lines) - Shows broader market context
Technical Details:
- Uses advanced pivot detection algorithm with customizable swing size
- Implements consecutive break counting for structure adjustments
- Supports both close and high/low price levels for breakout detection
- Includes offset option for better visual alignment
- Each structure break is validated against multiple conditions to prevent false signals
Offset on:
Offset off:
Moving Averages Library:
Includes comprehensive selection of moving averages, from traditional to advanced adaptive types:
- Basic: SMA, EMA, WMA, VWMA
- Advanced: KAMA, ALMA, VIDYA, FRAMA
- Specialized: Hull MA, Ehlers Filter Series
- Adaptive: JMA, RPMA, and many more
Perfect for:
- Price action analysis
- Trend direction confirmation
- Support/resistance identification
- Market structure trading strategies
- Multiple timeframe analysis
This open-source tool is designed to help traders better understand market dynamics and make more informed trading decisions. Feel free to use, modify, and enhance it for your trading needs.
Custom Strategy: ETH Martingale 2.0Strategic characteristics
ETH Little Martin 2.0 is a self-developed trading strategy based on the Martingale strategy, mainly used for trading ETH (Ethereum). The core idea of this strategy is to place orders in the same direction at a fixed price interval, and then use Martin's multiple investment principle to reduce losses, but this is also the main source of losses.
Parameter description:
1 Interval： The minimum spacing for taking profit, stop loss, and opening/closing of orders. Different targets have different spacing. Taking ETH as an example, it is generally recommended to have a spacing of 2% for fluctuations in the target.
2 Base Price： This is the price at which you triggered the first order. Similarly, I am using ETH as an example. If you have other targets, I suggest using the initial value of a price that can be backtesting. The Base Price is only an initial order price and has no impact on subsequent orders.
3 Initial Order Amount： Users can set an initial order amount to control the risk of each transaction. If the stop loss is reached, we will double the amount based on this value. This refers to the value of the position held, not the number of positions held.
4 Loss Multiplier： The strategy will increase the next order amount based on the set multiple after the stop loss, in order to make up for the previous losses through a larger position. Note that after taking profit, it will be reset to 1 times the Initial Order Amount.
5. Long Short Operation: The first order of the strategy is a multiple entry, and in subsequent orders, if the stop loss is reached, a reverse order will be opened. The position value of a one-way order is based on the Loss Multiplier multiple investment, so it is generally recommended that the Loss Multiplier default to 2.
Improvement direction
Although this strategy already has a certain trading logic, there are still some improvement directions that can be considered:
1. Dynamic adjustment of spacing: Currently, the spacing is fixed, and it can be considered to dynamically adjust the spacing based on market volatility to improve the adaptability of the strategy. Try using dynamic spacing, which may be more suitable for the actual market situation.
2. Filtering criteria: Orders and no orders can be optimized separately. The biggest problem with this strategy is that it will result in continuous losses during fluctuations, and eventually increase the investment amount. You can consider filtering out some fluctuations or only focusing on trend trends.
3. Risk management: Add more risk management measures, such as setting a maximum loss limit to avoid huge losses caused by continuous stop loss.
4. Optimize the stop loss multiple: Currently, the stop loss multiple is fixed, and it can be considered to dynamically adjust the multiple according to market conditions to reduce risk.
Wyckoff Trading Strategy for XAU/USD by KAIZVIETNAMXAU/USD TF M15 TP SL 20-30 pip
- Volume: Calculates the average volume based on the SMA to compare with the current trading volume.
- ATR (Average True Range): Calculated to determine price volatility.
- Support and Resistance Levels: Identifies support and resistance levels over the last 10 trading sessions.
Specific Point Identification
- A series of functions are defined to detect critical phases in the market structure, such as:
- Finding Preliminary Support: Recognizing signals of accumulation near support levels.
- Finding Selling Climax: Detecting signals of profit-taking near resistance levels.
- Finding Last Point of Support: Identifying points that provide stability for the price.
- Finding Preliminary Supply: Recognizing supply signals near resistance levels.
- Finding Buying Climax: Identifying strong buy signals accompanied by high trading volume.
- Finding Sign of Weakness: Determining instances of price adjustments that could lead to declines.
Market State Identification
- Accumulation: When the closing price is situated between the support and resistance levels.
- Distribution: When the closing price approaches the highest level of the previous few sessions.
- Sideways: When there is no clear bias toward either an upward or downward trend.
Buy and Sell Signals
- Buy Signals: Determined through finding preliminary support, selling climax, and last point of support.
- Sell Signals: Determined through finding preliminary supply, buying climax, and signs of weakness.
RSI BandsOverview
The RSI Bands indicator is a tool designed to calculate and display overbought, oversold, and middle bands based on the Relative Strength Index (RSI).
Its primary purpose is to provide traders with a clue on whether to place limit buy or limit sell orders, or to set stop-loss orders effectively. The bands represent the price levels the asset must reach for the RSI to align with specific thresholds:
Overbought Band: Displays the upper band representing the price level the asset must reach for the RSI to become overbought.
Oversold Band: Displays the lower band representing the price level the asset must reach for the RSI to become oversold.
Middle Band: Displays the middle band representing the price level the asset must reach for the RSI to hit the middle level. It uses both traditional RSI calculations and a dynamic period adjustment mechanism for improved adaptability to market conditions. The script also offers smoothing options for the bands.
Features
Calculates overbought, oversold, and middle bands using RSI values.
Dynamically adjusts the RSI period based on pivot points if enabled.
Offers smoothing options for the bands: EMA, SMA, or None.
Customizable input parameters for flexibility.
Inputs
Source Value: Selects the data source (e.g., close price) for RSI calculation.
Period: Sets the static RSI calculation period. Used if dynamic period is disabled.
Use Dynamic Period?: Toggles the use of a dynamic RSI period.
Pivot Left/Right Length: Determines the range of bars for pivot detection when using dynamic periods.
Dynamic Period Multiplier: Scales the dynamically calculated RSI period.
Overbought Level: RSI level that marks the overbought threshold.
Oversold Level: RSI level that marks the oversold threshold.
Middle Level: RSI level used as a midpoint reference.
Smoothing Type: Specifies the smoothing method for the bands (EMA, SMA, or None).
Smoothing Length: Length used for the selected smoothing method.
Key Calculations
RSI Calculation:
Computes RSI using gains and losses over the specified period (dynamic or static).
Incorporates a custom function for calculating RSI with dynamic periods.
Dynamic Period Adjustment:
Uses pivot points to determine an adaptive RSI period.
Multiplies the base dynamic period by the Dynamic Period Multiplier.
Band Calculation:
Calculates price changes (deltas) required to achieve the overbought, oversold, and middle RSI levels.
The price changes (deltas) are determined using an iterative approximation technique. For each target RSI level (overbought, oversold, or middle), the script estimates the required change in price by adjusting a hypothetical delta value until the calculated RSI aligns with the target RSI. This approximation ensures precise calculation of the price levels necessary for the RSI to reach the specified thresholds.
Computes the upper (overbought), lower (oversold), and middle bands by adding these deltas to the source price.
Smoothing:
Applies the selected smoothing method (EMA or SMA) to the calculated bands.
Plots
Overbought Band: Displays the upper band representing the price level the asset must reach for the RSI to become overbought.
Oversold Band: Displays the lower band representing the price level the asset must reach for the RSI to become oversold.
Middle Band: Displays the middle band representing the price level the asset must reach for the RSI to hit the middle level.
Usage
Choose the source value (e.g., close price).
Select whether to use a dynamic RSI period or a static one.
Adjust pivot lengths and multipliers for dynamic period calculation as needed.
Set the overbought, oversold, and middle RSI levels based on your analysis.
Configure smoothing options for the bands.
Observe the plotted bands and use them to identify potential overbought and oversold market conditions.
Zuzukinho//@version=5
indicator("Gelişmiş Al/Sat Botu", overlay=true)
// Parametreler
rsiLength = input(14, title="RSI Uzunluğu")
macdFast = input(12, title="MACD Hızlı EMA")
macdSlow = input(26, title="MACD Yavaş EMA")
macdSignal = input(9, title="MACD Sinyal")
bbLength = input(20, title="Bollinger Band Uzunluğu")
bbMult = input(2.0, title="Bollinger Band Çarpanı")
maLength = input(50, title="Hareketli Ortalama Uzunluğu")
hacimCizelge = input(true, title="Hacim Çizelgesi Göster")
// RSI Hesaplama
rsiValue = ta.rsi(close, rsiLength)
// MACD Hesaplama
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdHist = macdLine - signalLine
// Bollinger Bantları Hesaplama
basis = ta.sma(close, bbLength)
deviation = ta.stdev(close, bbLength)
upperBand = basis + bbMult * deviation
lowerBand = basis - bbMult * deviation
// Hareketli Ortalama Hesaplama
ma = ta.sma(close, maLength)
// Hacim Filtreleme
ortalamaHacim = ta.sma(volume, rsiLength)
yuksekHacim = volume > ortalamaHacim
// Alım ve Satım Sinyalleri
alSinyali = ta.crossover(rsiValue, 30) and macdHist > 0 and close < lowerBand and close > ma and yuksekHacim
satSinyali = ta.crossunder(rsiValue, 70) and macdHist < 0 and close > upperBand and close < ma and yuksekHacim
// Grafikte Gösterim
plotshape(alSinyali, title="Al Sinyali", location=location.belowbar, color=color.green, style=shape.labelup, size=size.small)
plotshape(satSinyali, title="Sat Sinyali", location=location.abovebar, color=color.red, style=shape.labeldown, size=size.small)
// Bollinger Bantları Çizimi
plot(upperBand, title="Üst Bollinger Bandı", color=color.new(color.blue, 50))
plot(lowerBand, title="Alt Bollinger Bandı", color=color.new(color.blue, 50))
// Hareketli Ortalama Çizimi
plot(ma, title="Hareketli Ortalama", color=color.orange)
// Hacim Çizelgesi
hacimPlot = hacimCizelge ? volume : na
plot(hacimPlot, color=color.new(color.blue, 50), title="Hacim")
High/Mid/Low of the Previous Month, Week and Day + MAIntroducing the Ultimate Price Action Indicator
Take your trading to the next level with this feature-packed indicators. Designed to provide key price insights, this tool offers:
- Monthly, Weekly, and Daily Levels : Displays the High, Midpoint, and Low of the previous month, week, and day.
- Logarithmic Price Lines : Option to plot price levels logarithmically for enhanced accuracy.
- Customizable Labels : Display labels on price lines for better clarity. (This feature is optional.)
- Dual Moving Averages : Add two customizable Moving Averages (Simple, Exponential, or Weighted) directly on the price chart. (This feature is optional.)
This code combines features from the Moving Average Exponential and Daily Weekly Monthly Highs & Lows (sbtnc) indicators, with custom modifications to implement unique personal ideas.
Perfect for traders who want to combine precision with simplicity. Whether you're analyzing historical levels or integrating moving averages into your strategy, this indicator provides everything you need for informed decision-making.
To prevent change chart scale, right click on Price Scale and enable "Scale price chart only"
Linear Regression Channel [TradingFinder] Existing Trend Line🔵 Introduction
The Linear Regression Channel indicator is one of the technical analysis tool, widely used to identify support, resistance, and analyze upward and downward trends.
The Linear Regression Channel comprises five main components : the midline, representing the linear regression line, and the support and resistance lines, which are calculated based on the distance from the midline using either standard deviation or ATR.
This indicator leverages linear regression to forecast price changes based on historical data and encapsulates price movements within a price channel.
The upper and lower lines of the channel, which define resistance and support levels, assist traders in pinpointing entry and exit points, ultimately aiding better trading decisions.
When prices approach these channel lines, the likelihood of interaction with support or resistance levels increases, and breaking through these lines may signal a price reversal or continuation.
Due to its precision in identifying price trends, analyzing trend reversals, and determining key price levels, the Linear Regression Channel indicator is widely regarded as a reliable tool across financial markets such as Forex, stocks, and cryptocurrencies.
🔵 How to Use
🟣 Identifying Entry Signals
One of the primary uses of this indicator is recognizing buy signals. The lower channel line acts as a support level, and when the price nears this line, the likelihood of an upward reversal increases.
In an uptrend : When the price approaches the lower channel line and signs of upward reversal (e.g., reversal candlesticks or high trading volume) are observed, it is considered a buy signal.
In a downtrend : If the price breaks the lower channel line and subsequently re-enters the channel, it may signal a trend change, offering a buying opportunity.
🟣 Identifying Exit Signals
The Linear Regression Channel is also used to identify sell signals. The upper channel line generally acts as a resistance level, and when the price approaches this line, the likelihood of a price decrease increases.
In an uptrend : Approaching the upper channel line and observing weakness in the uptrend (e.g., declining volume or reversal patterns) indicates a sell signal.
In a downtrend : When the price reaches the upper channel line and reverses downward, this is considered a signal to exit trades.
🟣 Analyzing Channel Breakouts
The Linear Regression Channel allows traders to identify price breakouts as strong signals of potential trend changes.
Breaking the upper channel line : Indicates buyer strength and the likelihood of a continued uptrend, often accompanied by increased trading volume.
Breaking the lower channel line : Suggests seller dominance and the possibility of a continued downtrend, providing a strong sell signal.
🟣 Mean Reversion Analysis
A key concept in using the Linear Regression Channel is the tendency for prices to revert to the midline of the channel, which acts as a dynamic moving average, reflecting the price's equilibrium over time.
In uptrends : Significant deviations from the midline increase the likelihood of a price retracement toward the midline.
In downtrends : When prices deviate considerably from the midline, a return toward the midline can be used to identify potential reversal points.
🔵 Settings
🟣 Time Frame
The time frame setting enables users to view higher time frame data on a lower time frame chart. This feature is especially useful for traders employing multi-time frame analysis.
🟣 Regression Type
Standard : Utilizes classical linear regression to draw the midline and channel lines.
Advanced : Produces similar results to the standard method but may provide slightly different alignment on the chart.
🟣 Scaling Type
Standard Deviation : Suitable for markets with stable volatility.
ATR (Average True Range) : Ideal for markets with higher volatility.
🟣 Scaling Coefficients
Larger coefficients create broader channels for broader trend analysis.
Smaller coefficients produce tighter channels for precision analysis.
🟣 Channel Extension
None : No extension.
Left: Extends lines to the left to analyze historical trends.
Right : Extends lines to the right for future predictions.
Both : Extends lines in both directions.
🔵 Conclusion
The Linear Regression Channel indicator is a versatile and powerful tool in technical analysis, providing traders with support, resistance, and midline insights to better understand price behavior. Its advanced settings, including time frame selection, regression type, scaling options, and customizable coefficients, allow for tailored and precise analysis.
One of its standout advantages is its ability to support multi-time frame analysis, enabling traders to view higher time frame data within a lower time frame context. The option to use scaling methods like ATR or standard deviation further enhances its adaptability to markets with varying volatility.
Designed to identify entry and exit signals, analyze mean reversion, and assess channel breakouts, this indicator is suitable for a wide range of markets, including Forex, stocks, and cryptocurrencies. By incorporating this tool into your trading strategy, you can make more informed decisions and improve the accuracy of your market predictions.
Hilega-Milega-RSI-EMA-WMA indicator designed by NKThis indicator is works on RSI, Price and volume to give leading Indicator to Buy or Sell.
This indicator works on all financial markets
Hilega-Milega-RSI-EMA-WMA indicator designed by Nitish Sir
For intraday trade, enter with 15 mins chart.
For positional trade, enter with 1-hour chart.
For Investment this system can be used with daily/weekly/monthly chart.
• RED line is for Volume.
• Green line is for the Price.
• Black line is for the RSI (9).
SELL Trade
1. When Volume (RED line) is above/crossed above Price (Green line) and Strength (Black line), then stock price will go down. This means we will SELL.
2. When there is a GAP in the RED line and the Green line till the time price will go down.
Exit criteria
Whenever Red line exit the shaded area of Oversold zone OR Red line cross over the Green and black line then we will exit.
In case of the SELL trade, after the entry we will monitor the trade in 5 min chart, if the candle is closed above the VWAP then exit.
If the price is crossed the 50 SMA then we will exit trade.
BUY Trade
1. When Volume (RED line) is below/crossed below Price (Green line) and Strength (Black line), then stock price will go up. This means we will BUY.
2. When there is a GAP in the RED line and the Green line till the time price will go down.
Exit criteria
Whenever Red line exit the shaded area of Overbought zone OR Red line cross over the Green and black line then we will exit.
In case of the Buy trade, after the entry we will monitor the trade candle is closed below the VWAP then exit.
If the price is crossed the 50 SMA then we will exit trade.
RShar Liquidity Zone Identifier Description of the Liquidity Zone Identifier Indicator
The **Liquidity Zone Identifier** is a TradingView indicator designed to highlight key liquidity zones on a price chart. Liquidity zones represent areas where the price is likely to encounter significant resistance or support, making them critical for technical analysis and trading decisions.
Key Features:
1. **Dynamic Resistance and Support Levels**:
- The indicator calculates the highest high and lowest low over a user-defined period (`length`) to identify potential resistance and support levels.
- Sensitivity can be adjusted using the `zoneSensitivity` parameter, which defines a percentage buffer around these levels to expand the zones.
2. **Visual Representation**:
- Resistance zones are highlighted in **red**, indicating areas where the price may face selling pressure.
- Support zones are highlighted in **green**, representing areas where the price may find buying interest.
- The zones are displayed as shaded regions using the `fill` function, making them visually distinct and easy to interpret.
3. **Customizable Inputs**:
- **Zone Length** (`length`): Determines the number of candles considered for calculating highs and lows.
- **Zone Sensitivity** (`zoneSensitivity`): Sets the percentage margin around the calculated levels to define the liquidity zones.
- **Zone Colors**: Users can customize the colors for resistance and support zones to suit their preferences.
- **Toggle Fill**: The `showFill` option allows users to enable or disable shaded zone visualization.
4. **Alerts for Trading Opportunities**:
- Alerts are triggered when:
- The price enters the **resistance zone** (current high is greater than or equal to the resistance zone).
- The price enters the **support zone** (current low is less than or equal to the support zone).
- These alerts help traders stay informed of critical market movements without constantly monitoring the chart.
#### How It Works:
1. **Calculation of Zones**:
- The highest high and lowest low over the specified `length` are calculated to define the primary levels.
- A buffer zone is added around these levels based on the `zoneSensitivity` percentage, creating a margin of interaction for price movements.
2. **Plotting the Zones**:
- The top and bottom boundaries of the resistance and support zones are plotted as lines.
- The area between these boundaries is shaded using the `fill` function to enhance visualization.
3. **Alerts for Key Events**:
- Traders are notified when price action interacts with the zones, enabling quick decision-making.
#### Use Case:
The Liquidity Zone Identifier is ideal for:
- Identifying areas of potential price reversal or consolidation.
- Spotting high-probability trading setups near resistance and support zones.
- Complementing other technical indicators in a trading strategy.
By effectively highlighting critical price levels, this indicator provides traders with a powerful tool to navigate the markets with greater precision.
