Harmonic Trading Tachometer [Pinescriptlabs]Key Features:
Visual Tachometer:
Represents market harmony through a speedometer on the chart.
The tachometer displays a range of harmony from "Highly Bearish" to "Highly Bullish."
Harmony Calculation:
Harmony Score: Based on ATR (Average True Range) range calculations for short, medium, and long periods. The harmony score is a weighted combination of these scores.
Interpretation: Harmony is translated into an interpretive category that can be "Highly Bearish," "Bearish," "Neutral," "Bullish," or "Highly Bullish."
Price Projection:
Estimates future price movement considering the current trend and the weight of each trend period (short, medium, and long).
Harmonic Change Detection:
Identifies significant changes in market harmony and adjusts sensitivity with predefined thresholds.
Confirmation and Divergence Signals:
Detects bullish or bearish confirmation signals as well as divergences, based on market harmony and price projection.
Additional Visualization:
Includes an optional market pentagram chart to visualize harmony on a broader scale.
Provides detailed information in a table about harmony, price projection, and harmonic changes.
How the Script Works:
Initial Calculations:
Ranges and Scores: Calculates ATR ranges for different periods (short, medium, and long). Then, evaluates the harmony score using the given formula.
Harmony: Obtained through the weighted combination of short, medium, and long-term scores.
Price Projection:
The projection is adjusted based on the difference between the current closing price and the exponential moving averages (EMAs) for different periods, weighted by the defined factors.
How to Use :
Tachometer Interpretation:
Observe the needle's position on the tachometer to assess the current market harmony.
Use the colors and labels to quickly interpret the market's state.
Projection and Changes:
Use the price projection to identify potential support or resistance levels.
Monitor harmonic changes and their strengths to adjust your trading strategies.
Confirmations and Divergences:
Pay attention to confirmation and divergence signals to decide on potential entries or exits.
Customization:
Adjust the indicator parameters, such as base length, harmony factor, change detection period, and trend weights, to fit your trading style and timeframe.
Español:
**Tacómetro Visual:
- Representa la armonía del mercado mediante un velocímetro en el gráfico.
- El tacómetro muestra un rango de armonía desde "Altamente Bajista" hasta "Altamente Alcista."
Cálculo de Armonía:
- Puntuación de Armonía:** Basada en los cálculos del rango ATR (Average True Range) para períodos cortos, medios y largos. La puntuación de armonía es una combinación ponderada de estas puntuaciones.
- Interpretación: La armonía se traduce en una categoría interpretativa que puede ser "Altamente Bajista," "Bajista," "Neutral," "Alcista," o "Altamente Alcista."
**Proyección de Precios:
- Estima el movimiento futuro de los precios considerando la tendencia actual y el peso de cada período de tendencia (corto, medio y largo).
**Detección de Cambios Armonicos:
- Identifica cambios significativos en la armonía del mercado y ajusta la sensibilidad con umbrales predefinidos.
**Señales de Confirmación y Divergencia:
- Detecta señales de confirmación alcista o bajista, así como divergencias, basadas en la armonía del mercado y la proyección de precios.
**Visualización Adicional:**
- Incluye un gráfico opcional de un pentagrama de mercado para visualizar la armonía en una escala más amplia.
- Proporciona información detallada en una tabla sobre la armonía, la proyección de precios y los cambios armónicos.
**Cómo Funciona el Script:**
Cálculos Iniciales:
- **Rangos y Puntuaciones:** Calcula los rangos del ATR para diferentes períodos (corto, medio y largo). Luego, evalúa la puntuación de armonía utilizando la fórmula dada.
- **Armonía:** Se obtiene a través de la combinación ponderada de las puntuaciones de corto, medio y largo plazo.
**Proyección de Precios:**
- La proyección se ajusta según la diferencia entre el precio de cierre actual y las medias móviles exponenciales (EMA) para diferentes períodos, ponderadas por los factores definidos.
**Cómo Usar:**
**Interpretación del Tacómetro:**
- Observa la posición de la aguja en el tacómetro para evaluar la armonía actual del mercado.
- Usa los colores y las etiquetas para interpretar rápidamente el estado del mercado.
**Proyección y Cambios:**
- Usa la proyección de precios para identificar posibles niveles de soporte o resistencia.
- Monitorea los cambios armónicos y sus fortalezas para ajustar tus estrategias de trading.
**Confirmaciones y Divergencias:**
- Presta atención a las señales de confirmación y divergencia para decidir posibles entradas o salidas.
**Personalización:**
- Ajusta los parámetros del indicador, como la longitud base, el factor de armonía, el período de detección de cambios y los pesos de tendencia, para adaptarlo a tu estilo de trading y marco de tiempo.
Volatilität
CoT Trend Change MomentumI discovered that whenever there's huge change in long IO or short IO there will be a momentum shift. So, I created this indicator to spot massive explosive volume changes for commercials and non commercials activity. Using standard deviation 2 and -2 as extreme point. Whatever crossing above standard deviation 2 indicating positions are added regardless whether it is long or shorts, whatever crossing below standard deviation -2 means positions are closed.
This is how I use this indicator:
1) In this example , i use only the commercials long and shorts. Whenever the longs exceed stdeviation +2, means that long volume flow in massively, for me this can be indicating potential to the upside. Whenever longs fall below stdeviation-2, for me this can be indicating that commercials are either taking profits for the short positions or accumulating for another bull price.
2) For shorts same logic applied here, when it exceeds stdeviation +2, mean commercials shorts position increase massively, when it exceeds stdeviation-2, means that commercials closed their short positions.
For this script, I use 13 weeks period as lookback, u guys may directly modify the period in the script to set the period that u want.
I've added for non-commercials as well, to ease people who emphasizes on non-commercials positioning analysis process.
I'm still trying to incorporate this with Open Interest Analysis. Hopefully u guys find this indicator useful. Feel free to modify it, to understand it more, my suggestions are u compare date by date the positions, to see the extreme points. The indicator only works in weekly chart, it is non repainted only in weekly chart, meaning that the indicator shows the histogram just as the week open.
Alpha-Sutte Multi-Price Indicator [CHE] Overview
The AlphaSutte MultiPrice Indicator is a powerful tool for forecasting market movements and generating trading signals. At its core is the AlphaSutte Model, which stands out for its innovative approach to predicting future price movements.
Inspired by the () on TradingView, this indicator enhances the original concept by integrating it with the T3 smoothing technique to improve trend identification and signal reliability.
The AlphaSutte Model
The AlphaSutte Model is a mathematical method for forecasting prices based on the analysis of historical price data. It is applied to various price components such as High, Low, Open, and Close. The model predicts future values using differences and weighted averages of previous periods. Here are the key steps and components of the AlphaSutte Model:
1. Data Extraction:
The model extracts historical values at specified intervals. For example, it uses the values from the last four periods for calculations.
2. Difference Calculations:
Differences between successive historical values are calculated:
Delta_x: Difference between the first and fourth values.
Delta_y: Difference between the second and first values.
Delta_z: Difference between the third and second values.
3. Weighted Average Calculation:
These differences are then integrated into a weighted average to forecast the future value:
The weighted average combines the historical values and their differences to calculate the forecasted value, referred to as a_t.
4. Application to Price Components:
The AlphaSutte Model can be applied to various price components:
High: Forecasting the future high price.
Low: Forecasting the future low price.
Open: Forecasting the future opening price.
Close: Forecasting the future closing price.
5. Averaging AlphaSutte Values:
If multiple price components are used for calculation, an average of the AlphaSutte values is computed. This average serves as the basis for generating trading signals.
Trading Signals and Directional Change
The AlphaSutte Model is used to generate long and short trading signals. These signals are confirmed by the directional change of the T3 Indicator to enhance reliability:
Long Signals:
A long signal is generated when the average value of the AlphaSutte Model is positive, and the T3 indicator previously showed a downtrend.
These signals are displayed with green labels and lines on the chart.
Short Signals:
A short signal is generated when the average value of the AlphaSutte Model is negative, and the T3 indicator previously showed an uptrend.
These signals are displayed with red labels and lines on the chart.
StepbyStep Explanation of the Script
The AlphaSutte MultiPrice Indicator script in TradingView is designed to provide comprehensive market trend analysis and trading signal generation. Here is a stepbystep explanation of how the script operates:
1. Input Parameters:
The script begins by defining several input parameters for the T3 indicator and AlphaSutte Model, including:
`t3Length`: The length of the T3 moving average.
`t3VolumeFactor`: The volume factor used in T3 smoothing.
Boolean inputs to determine which price components (High, Low, Open, Close) should use the AlphaSutte Model.
`numLastLabels`: The number of last labels to display for recent signals.
2. T3 Smoothing Function:
The `t3Smoothing` function calculates the T3 smoothed value for the specified source price using a series of exponential moving averages (EMAs):
It calculates six sequential EMAs of the source price.
It then combines these EMAs using specific coefficients to obtain the T3 value.
3. AlphaSutte Calculation Function:
The `get_alpha_sutte` function forecasts future values based on historical price data:
It extracts historical price values at specific intervals.
It calculates the differences (deltas) between these values.
It computes a weighted average of these deltas to obtain the AlphaSutte value.
4. Calculating AlphaSutte Components:
The script calculates the AlphaSutte values for the selected price components (High, Low, Open, Close) based on user input.
It then averages these values if multiple components are selected.
5. Generating Long and Short Conditions:
The script defines conditions for generating long and short signals based on the AlphaSutte average:
`long_condition`: True if the AlphaSutte average is positive.
`short_condition`: True if the AlphaSutte average is negative.
6. Tracking T3 Trend Direction:
The script updates state variables to track whether the T3 line is in an uptrend or downtrend:
`t3_uptrend`: True if the T3 value is higher than the previous T3 value.
`t3_downtrend`: True if the T3 value is lower than the previous T3 value.
7. Generating and Managing Labels and Lines:
The script generates labels and lines on the chart to visualize long and short signals:
For long signals, green labels and lines are created when the long condition is met, and the T3 was previously in a downtrend.
For short signals, red labels and lines are created when the short condition is met, and the T3 was previously in an uptrend.
Old labels and lines are deleted to keep the chart clean and relevant.
8. Updating Lines to Current Candle:
The script dynamically updates the end points of the lines to the current candle to reflect the latest market data.
9. Highlighting Movements:
The script optionally highlights the T3 line based on its direction to visually emphasize the trend:
Green for an uptrend and red for a downtrend.
10. Plotting the T3 Line:
Finally, the T3 line is plotted on the chart with the specified color and line width to provide a clear visualization of the trend.
Conclusion
The primary focus of the AlphaSutte MultiPrice Indicator is on the forecasting capabilities of the AlphaSutte Model. This model's forecasts are the most critical part of the indicator, providing the essential signals for potential market movements. The T3 indicator serves as a confirmation tool, validating these forecasts by indicating the direction of the trend. This combination enhances the reliability of the trading signals, making the AlphaSutte MultiPrice Indicator a valuable asset for traders looking to make informed decisions based on robust market analysis.
Best regards Chervolino
Buffett Valuation Indicator [TradeDots]The Buffett Valuation Indicator (also known as the Buffett Index or Buffett Ratio) measures the ratio of the total United States stock market to GDP.
This indicator helps determine whether the valuation changes in US stocks are justified by the GDP level.
For example, the ratio is calculated based on the standard deviations from the historical trend line. If the value exceeds +2 standard deviations, it suggests that the stock market is overvalued relative to GDP, and vice versa.
This "Buffett Valuation Indicator" is an enhanced version of the original indicator. It applies a Bollinger Band over the Valuation/GDP ratio to identify overvaluation and undervaluation across different timeframes, making it efficient for use in smaller timeframes, e.g. daily or even hourly intervals.
HOW DOES IT WORK
The Buffett Valuation Indicator measures the ratio between US stock valuation and US GDP, evaluating whether stock valuations are overvalued or undervalued in GDP terms.
In this version, the total valuation of the US stock market is represented by considering the top 10 market capitalization stocks.
Users can customize this list to include other stocks for a more balanced valuation ratio. Alternatively, users may use S&P 500 ETFs, such as SPY or VOO, as inputs.
The ratio is plotted as a line chart in a separate panel below the main chart. A Bollinger Band with a default 100-period and multiples of 1 and 2 is used to identify overvaluation and undervaluation.
For instance, if the ratio line moves above the +2 standard deviation line, it indicates that stocks are overvalued, signaling a potential selling opportunity.
APPLICATION
When the indicator is applied to a chart, we observe the ratio line's movements relative to the standard deviation lines. The further the line deviates from the standard deviation lines, the more extreme the overvaluation or undervaluation.
We look for buying opportunities when the Buffett Index moves below the first and second standard deviation lines and sell opportunities when it moves above these lines. This indicator is used as a microeconomic confirmation tool, in combination with other indicators, to achieve higher win-rate setups.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
No Lag SupertrendNo Lag Supertrend indicator improves upon the original supertrend by incorporating calculation methods that enhance responsiveness and accuracy. Traditional supertrend indicators often suffer from lag, which can delay signals and affect trading decisions. No Lag Supertrend addresses this issue through the use of KAMA (Kaufman’s Adaptive Moving Average) and Hull ATR (Average True Range) calculations.
Goals of No Lag Supertrend:
- Lag reduction: one of the main issues with traditional supertrend indicators is their lag, which can result in delayed entry and exit signals. By integrating KAMA and Hull ATR, the no lag supertrend minimizes this delay, providing more timely signals.
- Market Noise Filtering: The combined use of KAMA and Hull ATR effectively filters out market noise, ensuring that signals are based on significant price movements rather than minor fluctuations.
- Consistency Across Different Market Conditions: The adaptive nature of KAMA and the smooth responsiveness of Hull ATR ensure that the No Lag Supertrend performs consistently across various market conditions, from trending to volatile markets.
Credits: This code is based on the TradingView supertrend but improved the ATR calculations.
Auto Fitting GARCH OscillatorOverview
The Auto Fitting GARCH Oscillator is a sophisticated volatility indicator that dynamically fits GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models to the price data. It optimizes the parameters of the GARCH model to provide a reliable measure of volatility, which is then normalized to fit within a 0-100 range, making it easy to interpret as an oscillator. This indicator helps traders identify periods of high and low volatility, which can be crucial for making informed trading decisions.
Key Features
Dynamic GARCH(p, q) Fitting: Automatically optimizes the GARCH model parameters for the best fit.
Volatility Oscillator: Normalizes the volatility measure to a 0-100 range, indicating overbought and oversold conditions.
Customizable Timeframes: Adapts to various chart timeframes, from intraday to monthly data.
Projected Volatility: Provides options for projecting future volatility based on the optimized GARCH model.
User-friendly Visualization: Displays the oscillator with clear overbought and oversold levels.
Concepts Underlying the Calculations
The indicator leverages the GARCH model, which is widely used in financial time series analysis to model volatility clustering. The GARCH model considers past variances and returns to predict future volatility. This indicator dynamically adjusts the p and q parameters of the GARCH model within a specified range to find the optimal fit, minimizing the sum of squared errors (SSE).
How It Works
Data Preparation: Calculates the logarithmic returns and lagged variances from the price data.
SSE Optimization: Iterates through different p and q values to find the best GARCH parameters that minimize the SSE.
GARCH Calculation: Uses the optimized parameters to calculate the GARCH-based volatility.
Normalization: Normalizes the calculated volatility to a 0-100 range to form an oscillator.
Visualization: Plots the oscillator with overbought (70) and oversold (30) levels for easy interpretation.
How Traders Can Use It
Volatility Analysis: Identify periods of high and low volatility to adjust trading strategies accordingly.
Overbought/Oversold Conditions: Use the oscillator levels to identify potential reversal points in the market.
Risk Management: Incorporate volatility measures into risk management strategies to avoid trades during highly volatile periods.
Projection: Use the projected volatility feature to anticipate future market conditions.
Example Usage Instructions
Add the Indicator: Apply the "Auto Fitting GARCH Oscillator" to your chart from the Pine Script editor or TradingView library.
Customize Parameters: Adjust the maxP and maxQ values to set the range for GARCH model optimization.
Select Data Type: Choose between "Projected Variance in %" or "Projected Deviation in %" based on your analysis preference.
Set Projection Periods: Use the perForward input to specify how many periods forward you want to project the volatility.
Interpret the Oscillator: Observe the oscillator line and the overbought/oversold levels to make informed trading decisions.
Custom ATR Trailing StopThis Script creates a custom ATR (Average True Range) trailing stop. It allows traders to set up automated stop-loss levels based on the ATR, which adjusts dynamically to market volatility. The script is designed to support both long and short trades, offering flexibility and precision in trade management.
When loading the indicator to your chart, simply click to set the trade begining time, confirm various settings and you are set.
Check tooltips for more details in the input settigns menu.
User Inputs
Trade Setup: Allows users to set the trade direction (Long or Short), the signal source for entries, and the specific bar time for the trade setup.
ATR Settings: Configurable ATR lookback period, ATR smoothing period, initial ATR multiplier for setting the stop-loss, breakeven ATR multiplier, and a manual breakeven level.
ATR Calculations
Computes the ATR and its moving average.
Determines initial and breakeven stop levels based on the ATR.
Signal Validation
Validates long or short trade signals based on the specified bar time and trade direction.
Triggers alerts when a valid trade signal is detected.
Trailing Stop Logic
For long trades, adjusts the stop-loss level dynamically based on the ATR.
For short trades, performs similar adjustments in the opposite direction.
Updates the trailing stop level to ensure it follows the price, moving closer as the price moves favorably.
Resets the trade state when the stop-loss is hit, triggering an alert.
Plotting
Plots the trailing stop levels on the chart.
Uses green for stop levels indicating profit and red for stop levels indicating a loss.
T3 [RATE OF CHANGE] by SKiNNiEHDeveloped by Tim Tillson, the Tilson Moving Average (T3) is a trend indicator with the advantage of having less lag than other ones. That is, a faster moving average. The T3 moving average is an "indicator of an indicator" as it includes several EMAs of another EMA. Unlike other moving averages, the t3 adds the so-called volume factor, a value between 0 and 1.
The T3 RATE OF CHANGE by SKiNNiEH is a unique indicator that integrates the T3 moving average with a normalized Rate of Change (RoC) calculation. Unlike traditional T3 moving averages, this indicator provides additional smoothing modes (SINGLE, DOUBLE & TRIPLE) for the T3, whilst enhancing visual feedback of the plotted line by generating a dynamic line thickness, a dynamic line color & brightness and trade entry bars, offering traders a more dynamic view of market conditions without going "overboard" with settings.
How It Works
Visualization
The T3 line varies in thickness and color based on the RoC values, giving traders visual cues about market strength and direction.
Thicker and brighter lines indicate stronger trends, while thinner and duller lines suggest weaker trends.
Rate of Change Filte r
This filter refines trend detection by using the line thickness measurement.
Adjustable from 0 (disabled) to 4, where higher settings only consider stronger trends for signals.
The T3 line turns gray when the filter is triggered or when the RoC is extremely low, signaling a weak or neutral market.
T3 Calculation (mode)
SINGLE
The T3 calculation is applied once to the closing price.
This mode has the least smoothing effect and the least lag. It reacts more quickly to price changes but is less smooth.
DOUBLE
The T3 calculation is applied twice sequentially.
The first T3 calculation smooths the closing price.
The second T3 calculation smooths the result of the first T3 calculation.
This mode provides more smoothing and introduces more lag compared to SINGLE mode. It is smoother but reacts slower to price changes.
TRIPLE
The T3 calculation is applied three times sequentially.
The first T3 calculation smooths the closing price.
The second T3 calculation smooths the result of the first T3 calculation.
The third T3 calculation smooths the result of the second T3 calculation.
This mode provides the most smoothing and introduces the most lag by reacting the slowest to price changes.
Rate of Change (RoC) Calculation
The script calculates the Rate of Change (RoC) for the T3 values based on the selected mode (SINGLE, DOUBLE, TRIPLE). The RoC measures the percentage change between the most recent value and a value in the past. The measurement is then normalized in three different ranges.
Normalization 5: Determines T3 line thickness on a scale from 0 - 5
Normalization 10: Determines T3 color brightness on a scale from 0 - 10
Normalization 100: Determines Rate of Change percentage
Rate of Change Filter
The script uses the RoC filter to refine the trend detection logic. By using the line thickness measurement, a filter can be enabled by setting this input on 1 - 4. As an example, setting this to 4 means that only a line thickness of 5 would be considered for a trade signal. Setting this to 0 disables the filter. The T3 line will turn gray when the filter is triggered, the T3 line can also turn gray without the filter, when the Rate of Change is extremely low.
Trade Signals
A trade signal is printed as a vertical green or red bar when the following conditions are met:
Long:
Closing price is above the T3 line
Rate of Change percentage is above 0
Previous trade signal was a short signal **
Rate of Change is not filtered
Short:
Closing price is below the T3 line
Rate of Change percentage is below 0
Previous trade signal was a long signal **
Rate of Change is not filtered
** Or this is the very first recorded trade signal
It should be noted that the trade signals in this script are trade entry signals, not trade exit signals. Use at your own risk.
Instructions for Use
Setting Up the Indicator
Apply the indicator to your trading chart.
Choose the desired T3 mode (SINGLE, DOUBLE, TRIPLE) based on your need for smoothing and lag.
Set the desired length (lookback period).
Set the desired factor between 0 and 1 (increments of 0.1)
Choose an overall line thickness and brightness that suits your screen and taste preferences.
Apply the Rate of Change filter. Setting this to 0 will disable the filter
Tip: use the trade entry vertical bars as a visual calibration tool the adjust mode, length, factor and filter.
Interpreting Visual Cues
Observe the T3 line's thickness: thicker lines indicate stronger trends, while thinner lines suggest weaker trends.
Observe the T3 line's color and color brightness: green indicates a more bullish trend, while red indicates a more bearish trend. A brighter color suggest a stronger trend. A gray color means the RoC is very low / neutral, or the RoC filter is active.
Observe the T3 line's location relative to price: below price indicates a more bullish trend, above price indicates a more bearish trend. The T3 line distance from price can also be an indication of trend strength.
Observe vertical bars: a vertical bar is printed green when long conditions are met, a vertical bar is printed red when short conditions are met. See the rules that explain the trigger for this bar above.
Alerts
Go to the settings tab, set the condition to T3.RoC.S + LONG or SHORT.
Enter an alert name and message.
Configure your notification preferences in the notifications tab and create the alert
Notifications-tab: Choose your notification preferences
Create the alert.
Support/Resistance v2 (ML) KmeanKmean with Standard Deviation Channel
1. Description of Kmean
Kmean (or K-means) is a popular clustering algorithm used to divide data into K groups based on their similarity. In the context of financial markets, Kmean can be applied to find the average price values over a specific period, allowing the identification of major trends and levels of support and resistance.
2. Application in Trading
In trading, Kmean is used to smooth out the price series and determine long-term trends. This helps traders make more informed decisions by avoiding noise and short-term fluctuations. Kmean can serve as a baseline around which other analytical tools, such as channels and bands, are constructed.
3. Description of Standard Deviation (stdev)
Standard deviation (stdev) is a statistical measure that indicates how much the values of data deviate from their mean value. In finance, standard deviation is often used to assess price volatility. A high standard deviation indicates strong price fluctuations, while a low standard deviation indicates stable movements.
4. Combining Kmean and Standard Deviation to Predict Short-Term Price Behavior
Combining Kmean and standard deviation creates a powerful tool for analyzing market conditions. Kmean shows the average price trend, while the standard deviation channels demonstrate the boundaries within which the price can fluctuate. This combination helps traders to:
Identify support and resistance levels.
Predict potential price reversals.
Assess risks and set stop-losses and take-profits.
Should you have any questions about code, please reach me at Tradingview directly.
Hope you find this script helpful!
imbalances bandsThis indicator is designed to identify imbalances based on the calculation of the average of the highest and lowest prices. It forms a kind of band indicating correction points.
This indicator uses a total of 4 modified VWAPs, separated into 2 options that the user can activate or deactivate by checking or unchecking the options "Show imbalances bands VWAP 1" or "Show imbalances bands VWAP 2".
Let's talk about the first option, "Show imbalances bands VWAP 1". This displays 2 modified VWAPs on the screen, one in green and one in red, forming a kind of band that indicates possible points of imbalance in the market, signaling increased volatility between buying and selling. When the price tests the bands, it can be useful as there is a probability of a correction in the movement.
This can be particularly useful for those who trade using a scalping style, as it helps analyze when the price tests the bands. It can also be beneficial for trend traders because when the price tests one of the bands, there is a probability of a movement correction.
Now let's talk about the option "Show imbalances bands VWAP 2". It contains two modified VWAPs, one in purple and one in blue, which also form a kind of band. These bands also indicate the probability of a movement correction.
What is the difference between the Show imbalances bands VWAP 1 option and the Show imbalances bands VWAP 2 option?
The option "Show imbalances bands VWAP 2" consists of 2 modified volume-weighted moving averages that have a calculation checking the increase in volatility between the highest and lowest prices. One modified moving average is in purple, and the other modified moving average is in blue, forming a kind of two modified VWAPs.
The option "Show Imbalance Bands VWAP 1" consists of two modified moving averages using the absolute difference between the closing price and the moving average instead of the volume. This is particularly useful for assets where the volume is not a good indicator or is not available.
The option "Show Imbalance Bands VWAP 1" also has a calculation that checks for increased volatility between the highest and lowest prices. It features two modified moving averages, one in green and one in red.
This indicator can be adjusted according to the preferences and characteristics of the specific asset or market. It provides clear visual information and can be used as a complementary tool for technical analysis in trading strategies.
and Interesting period 5,20,50,80,200
Interesting imbalance setting 2.4, 3.3 ,4.2
Analysis Ideas: If you are following a trend, you can use this indicator to analyze how the price behaves around the bands. Since the imbalance bands indicate a probability of correction, it can be useful for identifying protection points or moments to be cautious, as there might be a probability of increased volatility.
Analysis Ideas2:For those trading using a scalping style, observe how the price behaves when it tests the imbalance band, as there may be a probability of increased volatility.
Please note that this indicator is designed for educational and informational purposes. Always conduct your own analysis and consider risk management strategies before making trading decisions.
Comprehensive Market Overview1. What is this indicator about?
The "Comprehensive Market Overview" indicator provides a holistic view of the market by incorporating several key metrics:
Close Price: Displays the current close price below each candle.
Percent from All-Time High: Calculates how far the current close price is from the highest high observed over a specified period.
RSI (Relative Strength Index): Measures the momentum of price movements to assess whether a stock is overbought or oversold.
Volume Gain: Computes the current volume relative to its 20-period simple moving average (SMA), indicating volume strength or weakness.
Volatility: Quantifies market volatility by calculating the ratio of the Bollinger Bands' width (difference between upper and lower bands) to the SMA.
2. How it works?
Close Price Label: This label is displayed below each bar, showing the current close price.
Percent from All-Time High: Calculates the percentage difference between the highest high observed (all-time high) and the current close price.
RSI Calculation: Computes the RSI using a 14-period setting, providing insight into whether a stock is potentially overbought or oversold.
Volume Strength: Computes the current volume divided by its 20-period SMA, indicating whether volume is above or below average.
Volatility Calculation: Calculates the width of the Bollinger Bands (based on a 20-period SMA and 2 standard deviations) and expresses it as a percentage of the SMA, providing a measure of market volatility
3.Correct Trend Identification with Indicators
All-Time High (ATH) Levels:
Low Value (Near ATH): When the percent from ATH is low (close to 0%), it indicates that the current price is near the all-time high zone. This suggests strong bullish momentum and potential resistance levels.
High Value (Below ATH): A high percentage from ATH indicates how much the current price is below the all-time high. This could signal potential support levels or opportunities for price recovery towards previous highs.
RSI (Relative Strength Index):
Overbought (High RSI): RSI values above 70 typically indicate that the asset is overbought, suggesting a potential reversal or correction in price.
Oversold (Low RSI): RSI values below 30 indicate oversold conditions, suggesting a potential rebound or price increase.
Swing Trading Strategies
Confirmation with Visual Analysis: Visualizing the chart to confirm ATH levels and RSI readings can provide strong indications of market sentiment and potential trading opportunities:
Bullish Signals: Look for prices near ATH with RSI confirming strength (not yet overbought), indicating potential continuation or breakout.
Bearish Signals: Prices significantly below ATH with RSI showing weakness (not yet oversold), indicating potential for a bounce or reversal.
Volume Confirmation: Comparing current volume to its SMA helps confirm the strength of price movements. Higher current volume relative to the SMA suggests strong price action.
Volatility Assessment: Monitoring volatility through the Bollinger Bands' width ratio helps assess potential price swings. Narrow bands suggest low volatility, while wide bands indicate higher volatility and potential trading opportunities.
4.Entry and Exit Points:
Entry: Consider entering long positions near support levels when prices are below ATH and RSI is oversold. Conversely, enter short positions near resistance levels when prices are near ATH and RSI is overbought.
Exit: Exit long positions near resistance or ATH levels when prices show signs of resistance or RSI becomes overbought. Exit short positions near support levels or when prices rebound from oversold conditions.
Risk Management: Always incorporate risk management techniques such as setting stop-loss orders based on support and resistance levels identified through ATH and RSI analysis.
Implementation Example
Consistent ATR Trailing Stop (ATR, 1m based) [nn1]This indicator implements a Consistent ATR (Average True Range) Trailing Stop that maintains uniform behavior across various chart timeframes. It's designed to provide traders with a reliable tool for setting dynamic stop-loss levels that adapt to market volatility while remaining consistent regardless of the chosen chart interval.
Key Features:
1. Consistent ATR Calculation: The indicator calculates the ATR based on 1-minute data, regardless of the current chart timeframe. This ensures that the ATR value remains consistent across different intervals (e.g., 10s, 15s, 30s, 60s), providing a stable base for the trailing stop.
2. Dynamic Trailing Stop: The trailing stop adjusts based on the ATR, moving up in uptrends and down in downtrends to protect profits while allowing room for price fluctuations.
3. Trend Detection: The indicator determines the trend based on the price's relationship to the trailing stop, switching between long and short modes as the trend changes.
4. Visual Cues: The trailing stop line changes color to indicate the current trend (green for uptrends, red for downtrends) and briefly turns yellow during trend changes. Small circles below or above the price action further highlight the current trend direction.
5. Information Display: A label shows the current ATR value and trend direction, providing at-a-glance information to the trader.
6. Trend Change Highlights: The background briefly changes color when a trend change occurs, drawing attention to potential trading opportunities or exit points.
Usage:
- ATR Length: Set the number of periods for the ATR calculation. This is based on 1-minute data, so a value of 14 represents 14 minutes of data.
- ATR Multiplier: Adjust how far the trailing stop is placed from the price. Higher values create a wider stop, allowing for more price movement before triggering.
This indicator is particularly useful for traders who:
- Use multiple timeframes in their analysis and want consistent signals across charts.
- Seek a dynamic stop-loss method that adapts to market volatility.
- Want clear visual cues for trend direction and changes.
By providing a consistent ATR-based trailing stop across different timeframes, this indicator helps traders maintain a unified approach to their trading strategy, regardless of the chart interval they are viewing.
Fair Value Gap (FVG) Oscillator [UAlgo]The "Fair Value Gap (FVG) Oscillator " is designed to identify and visualize Fair Value Gaps (FVG) within a given lookback period on a trading chart. This indicator helps traders by highlighting areas where price gaps may signify potential trading opportunities, specifically bullish and bearish patterns. By leveraging volume and Average True Range (ATR) data, the FVG Oscillator aims to enhance the accuracy of pattern recognition and provide more reliable signals for trading decisions.
🔶 Identification of Fair Value Gap (FVG)
Fair Value Gaps (FVG) are specific price areas where gaps occur, and they are often considered significant in technical analysis. These gaps can indicate potential future price movements as the market may return to fill these gaps. This indicator identifies two types of FVGs:
Bullish FVG: Occurs when the current low price is higher than the high price two periods ago. This condition suggests a potential upward price movement.
Obtains with:
low > high
Bearish FVG: Occurs when the current high price is lower than the low price two periods ago. This condition suggests a potential downward price movement.
Obtains with:
high < low
The FVG Oscillator not only identifies these gaps but also verifies them using volume and ATR conditions to ensure more reliable trading signals.
🔶 Key Features
Lookback Period: Users can set the lookback period to determine how far back the indicator should search for FVG patterns.
ATR Multiplier: The ATR Multiplier is used to adjust the sensitivity of the ATR-based conditions for verifying FVG patterns.
Volume SMA Period: This setting determines the period for the Simple Moving Average (SMA) of the volume, which helps in identifying high volume conditions.
Why ATR and Volume are Used?
ATR (Average True Range) and volume are integrated into the Fair Value Gap (FVG) Oscillator to enhance the accuracy and reliability of the identified patterns. ATR measures market volatility, helping to filter out insignificant price gaps and focus on impactful ones, ensuring that the signals are relevant and strong. Volume, on the other hand, confirms the strength of price movements. High volume often indicates the sustainability of these movements, reducing the likelihood of false signals. Together, ATR and volume ensure that the detected FVGs are both significant and supported by market activity, providing more trustworthy trading signals.
Normalized Values: The FVG counts are normalized to enhance the visual representation and interpretation of the patterns on the chart.
Visual Customization and Plotting: Users can customize the colors for positive (bullish) and negative (bearish) areas, and choose whether to display these areas on the chart, also plots the bullish and bearish FVG counts, a zero line, and the net value of FVG counts. Additionally, it uses histograms to display the width of verified bullish and bearish patterns.
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Internal Bar Strength IBS [Anan]This indicator calculates and displays the Internal Bar Strength (IBS) along with its moving average. The IBS is a measure that represents where the closing price is relative to the high-low range of a given period.
█ Main Formula
The core of this indicator is the Internal Bar Strength (IBS) calculation. The basic IBS formula is:
ibs = (close - low) / (high - low)
I enhanced the original formula by incorporating a user-defined length parameter. This modification allows for greater flexibility in analysis and interpretation. The extended version enables users to adjust the indicator's length according to their specific needs or market conditions. Notably, setting the length parameter to 1 reproduces the behavior of the original formula, maintaining backward compatibility while offering expanded functionality:
ibs = (close - ta.lowest(low, ibs_length)) / (ta.highest(high, ibs_length) - ta.lowest(low, ibs_length))
Where:
- `close` is the closing price of the current bar
- `lowest low` is the lowest low price over the specified IBS length
- `highest high` is the highest high price over the specified IBS length
█ Key Features
- Calculates IBS using a user-defined length
- Applies a moving average to the IBS values
- Offers multiple moving average types
- Includes optional Bollinger Bands or Donchian Channel overlays
- Visualizes bull and bear areas
█ Inputs
- IBS Length: The period used for IBS calculation
- MA Type: The type of moving average applied to IBS (options: SMA, EMA, SMMA, WMA, VWMA, Bollinger Bands, Donchian)
- MA Length: The period used for the moving average calculation
- BB StdDev: Standard deviation multiplier for Bollinger Bands
█ How to Use and Interpret
1. IBS Line Interpretation:
- IBS values range from 0 to 1
- Values close to 1 indicate the close was near the high, suggesting a bullish sentiment
- Values close to 0 indicate the close was near the low, suggesting a bearish sentiment
- Values around 0.5 suggest the close was near the middle of the range
2. Overbought/Oversold Conditions:
- IBS values above 0.8 (teal zone) may indicate overbought conditions
- IBS values below 0.2 (red zone) may indicate oversold conditions
- These zones can be used to identify potential reversal points
3. Trend Identification:
- Consistent IBS values above 0.5 may indicate an uptrend
- Consistent IBS values below 0.5 may indicate a downtrend
4. Using Moving Averages:
- The yellow MA line can help smooth out IBS fluctuations
- Crossovers between the IBS and its MA can signal potential trend changes
5. Bollinger Bands/Donchian Channel:
- When enabled, these can provide additional context for overbought/oversold conditions
- IBS touching or exceeding the upper band may indicate overbought conditions
- IBS touching or falling below the lower band may indicate oversold conditions
Remember that no single indicator should be used in isolation. Always combine IBS analysis with other technical indicators, price action analysis, and broader market context for more reliable trading decisions.
Nebula SAR Echo📈 Overview:
The "Nebula SAR Echo" is a sophisticated technical analysis tool designed for traders seeking enhanced trend detection. This indicator combines the robust Parabolic SAR mechanism with gradient color coding to provide clear visual insights into market trends.
🎯 Key Features:
Advanced Parabolic SAR Calculation:
Utilizes dynamic coefficients for more responsive and accurate trend detection.
Highlights trend reversals with visual markers for immediate identification.
Gradient Color Coding:
Gradient colors dynamically reflect the strength and direction of the trend.
Bullish trends are represented in shades of green, while bearish trends are shown in shades of red.
User-Friendly Customization:
Easily adjustable parameters for acceleration factors and gradient color use.
💡 Benefits:
Enhanced Decision Making:
Combines real-time trend analysis to assist traders in making more informed decisions.
Visual Clarity:
Clear visual markers and gradient color coding simplify the interpretation of market trends.
Helps traders quickly identify key turning points and potential future price paths.
🔍 Use Cases:
Trend Identification:
Ideal for identifying ongoing trends and potential reversals in various market conditions.
Useful for both short-term trading strategies and long-term investment planning.
Risk Management:
Gradient color coding aids in assessing trend strength and potential volatility.
Traders can set more precise stop-loss and take-profit levels based on the trend strength.
⚙️ How to Use:
1. Parameter Setup:
Set the desired acceleration factors (start, increment, and max) for the Parabolic SAR.
Enable or disable gradient colors based on personal preference.
2. Interpretation:
Use the SAR values and gradient colors to gauge current market trends.
3. Alerts:
Set up alert conditions for bullish and bearish reversals to stay notified of significant market changes.
🔹 Conclusion:
The "Nebula SAR Echo" is a versatile and powerful tool for traders who require an in-depth analysis of market trends. By leveraging the advanced Parabolic SAR calculation and gradient color coding, this indicator provides a comprehensive view of market conditions, making it an indispensable addition to any trader's toolkit.
Candle Range Detector [UAlgo]The "Candle Range Detector " is a Pine Script™ indicator designed to identify trading opportunities based on the concept of price consolidation and breakout. It analyzes the price range of a specified number of previous candles and detects when subsequent candles stay within that range (consolidation). The indicator then highlights potential breakouts above or below the range and provides calculated Take Profit (TP) and Stop Loss (SL) levels based on your chosen method (percentage or Average True Range - ATR).
🔶 Key Features
Configurable Range: Define the minimum number of candles required to establish a valid price range.
Breakout Detection: Identify potential breakouts above or below the established range based on your selection (close price or wick).
Take Profit & Stop Loss Levels: The indicator calculates TP and SL levels based on your chosen method (percentage or ATR) and user-defined multipliers. The calculated TP and SL levels are visualized as horizontal lines with corresponding labels ("Take Profit" and "Stop Loss").
Optional Count Display: You can choose to display the number of candles currently within the range.
🔶 Disclaimer:
Not Financial Advice: This indicator is intended for educational and informational purposes only. It does not constitute financial advice or recommendations to buy, sell, or hold any financial instruments.
Use at Own Risk: Trading involves substantial risk of loss and is not suitable for all investors. Users of this indicator should exercise caution and conduct their own research and analysis before making any trading decisions.
Performance Not Guaranteed: Past performance is not indicative of future results. While the indicator aims to assist traders in analyzing market trends, there is no guarantee of accuracy or success in trading operations.
🔷 Related Scripts
Range Finder
Lines of Chaos (ATR/ADR Levels)Lines of Chaos Indicator
This script is designed to provide traders with ATR (Average True Range) and ADR (Average Daily Range) support and resistance levels.
How it Works:
Support and Resistance Lines: The script plots ATR/ADR-based support and resistance lines based on a moving average of the last ATR/ADR Length days, the previous day's close, and the current day's open. Changing the ATR/ADR Length value changes the number of days of data to average.
EMA: The EMA is colored red when the ticker is potentially bearish. The EMA is colored green when the ticker is potentially bullish. Changing the EMA Length changes the number of data bars to average.
Default Settings: The default settings are optimized for most trading environments.
Key Features:
ATR & ADR Calculation: You can use ATR, ADR, or both. ATR is recommended for most scenarios.
Customizable Lengths: Adjust the ATR/ADR Length to refine the average calculation to your preference, with 14 being the standard value.
EMA for Market Bias: The EMA helps determine the ticker bias. It is colored green when the market is above the average price and red when below. This allows you to more easily determine whether or not the ADR/ATR levels are valid.
Versatile Usage: Suitable for various trading types, ensuring broad applicability across different market conditions.
How to Use:
Bounces off Levels: When the price bounces off a support/resistance level, the price will likely respect this level. This indicates that the price is unlikely to exceed the ticker's average volatility.
Breakthroughs of Levels: When the price breaks through a support/resistance level, the price will likely continue beyond this level. This indicates that the price has moved beyond that ticker's average volatility.
ATR/ADR Support and Resistance LevelsATR/ADR Support and Resistance Levels Indicator
This script is designed to provide traders with precise ATR (Average True Range) and ADR (Average Daily Range) support and resistance levels. It can be effectively used to identify price breakouts or rejections near these critical lines and assist in confirming trend retests.
How It Works:
Support and Resistance Lines: The script plots ATR/ADR-based support and resistance lines, which can be toggled on or off.
Daily Data Integration: It incorporates daily open and close prices to enhance the accuracy of the support and resistance levels.
Clear Visuals: The indicator uses distinct colors for support (green) and resistance (red) levels, providing clear visual cues.
Default Settings: The default settings are optimized for most trading environments. Adjusting the ATR/ADR Length can fine-tune the indicator's responsiveness to market movements.
Key Features:
ATR & ADR Calculation: Choose between using ATR, ADR, or both. ATR is recommended for most scenarios.
Customizable Lengths: Adjust the ATR/ADR Length to refine the average calculation to your preference, with 14 being the standard value.
EMA for Market Bias: The EMA helps determine the ticker bias. It is colored green when the market is above the average price and red when it is below. This allows you to more easily determine whether or not the ADR/ATR levels are valid.
Versatile Usage: Suitable for various trading types, ensuring broad applicability across different market conditions.
How to Use:
ATR vs ADR: You should use ADR if you are day trading AND do not want to include gap data in the levels. It is recommended you use ATR.
Bounces off Levels: When price bounces off of a support/resistance level, it is very likely that price will respect this level. This indicates that price is unlikely to move beyond the ticker's average volatility. You should wait for an additional bounce to confirm.
Breakthroughs of Levels: When price breaks through a support/resistance level, it is very likely that price will continue beyond this level. This indicates that price has moved beyond that ticker's average volatility. You should wait for a bounce off the level to confirm.
This indicator is a valuable tool for traders seeking to enhance their technical analysis with support and resistance levels based on ATR and ADR calculations. It is perfect for identifying key price points and understanding market trends.
RSI Trail [UAlgo]The RSI Trail indicator is a technical analysis tool designed to assist traders in making informed decisions by utilizing the Relative Strength Index (RSI) and various moving average calculations. This indicator dynamically plots support and resistance levels based on RSI values, providing visual cues for potential bullish and bearish signals. The inclusion of a trailing stop mechanism allows traders to adapt to market volatility, ensuring optimal entry and exit points.
🔶 Key Features
Multiple Moving Average Types: Choose from Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), Running Moving Average (RMA), and McGinley Dynamic for diverse analytical approaches.
Configurable RSI Bounds: Tailor the RSI lower and upper bounds to your specific trading preferences, with default settings at 40 and 60.
Signals: The indicator determines bullish and bearish market states and plots corresponding signals on the chart.
Customizable Visualization: Options to display the midline and color candles based on market state enhance visual analysis.
Alerts: Integrated alert conditions notify you of bullish and bearish signals.
🔶 Calculations
The RSI Trail indicator calculates dynamic support and resistance levels using a combination of moving averages and the Relative Strength Index (RSI). It starts by computing a chosen moving average (SMA, EMA, WMA, RMA, or McGinley) over a period of 27 using the typical price (ohlc4).
The indicator then defines upper and lower bounds based on customizable RSI levels (default 40 and 60) and adjusts these bounds using the Average True Range (ATR) to account for market volatility. The upper bound is calculated by adding a volatility-adjusted value to the moving average, while the lower bound is found by subtracting this value. Bullish signals occur when the price crosses above the upper bound, and bearish signals when it falls below the lower bound.
The RSI Trail indicator also can be used to identify pullback opportunities. When the price high/low crosses above/below the calculated upper/lower bound, it indicates a potential pullback, suggesting a favorable point to enter a trade during a pullback.
🔶 Disclaimer
This indicator is for informational purposes only and should not be considered financial advice.
Always conduct your own research and due diligence before making any trading decisions. Past performance is not necessarily indicative of future results.
Weighted Volume Profile | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Weighted Volume Profile Indicator! This indicator renders a volume profile based on the volume of latest candlesticks. It can be adjusted to give more weight to recent or past candlesticks, or can be used as a normal volume profile. For more information, please read the full write-up.
Features of the new Weighted Volume Profile indicator :
Renders Volume Profile Of Current Ticker
Adjustable Weighthing Towards Past or Recent
Customizable Row Count & Maximum Distance
Left or Right Alignment
More Styling Options
🚩UNIQUENESS
This indicator differs from a normal volume profile indicator by it's ability to weight volumes based on their distance to the current time. Giving weight to volumes may offer new trading opportunities to traders as they can now see the most recent Point Of Control (POC) or a more powerful but past POC based on their choice. The indicator also has a variety of useful styling settings such as aligning the volume profile to the right or the left of the chart, POC Line styling and color settings for bullish & bearish volumes.
📌 HOW DOES IT WORK ?
A volume profile provides an in-depth look at trading activity over a period of time by plotting a histogram on the price axis. This indicator can also give weight to volumes based on their distance to the current time, essentially determining their importance for the profile. Here is how it works step-by-step :
1. Determine how much candlesticks the volume profile will cover (Analyze Bars setting)
2. Make a range from the highest point of chart to the lowest point of chart, then divide it into rows (Row Count setting)
3. For each candlestick, add it's volume to the corresponding row in the range. Note that the volume can be added into several rows if it overlaps with them.
4. If the candlestick is a bullish candlestick, we add it's volume into the bullish volume of the row, if it's a bearish candlestick, we add it to the bearish volume of the row.
With the weighted volume mode, which is activated if "Volume Weighthing" setting is set to "Recent" or "Past", all volumes get a penalty based on their distance to the latest candletstick. For example, if the setting is set to "Recent", the latest candlestick contributes it's volume by 100% to the corresponding row, but the candlestick which is 50 candlesticks far from the current candlestick only contributes it's volume by ~17% to the row. The same applies to the "Past" setting, but in the reversed order, where past candlesticks have more priority than the current ones.
Volume contribution percent for "Recent" setting : ((100 * 0.85) / (i + 1)) + (100 * (1.0 - 0.85))
Volume contribution percent for "Past" setting : ((100 * 0.85) * ((i + 1) / N)) + (100 * (1.0 - 0.85))
Where i = candlestick index from right to left, N = total number of candlesticks analyzed by the volume profile.
The Point Of Control (POC) line is drawn from the row with the most total volume, and is generally considered as a strong level because a lot of trading volume happened on that particular row. Traders may use this line as a support & resistance level.
Traders can use this indicator to have an insight of areas which price moves quickly without much volume, or see areas that holds the price still for much longer and plan their trades accordingly.
⚙️SETTINGS
1. General Configuration
Analyze Bars -> Total amount of bars that will be analyzed by the indicator from right to left.
Row Count -> The amount of rows that will the vertical range of chart will be divided into.
Volume Weighting -> The volume weighting mode as explained in the write-up.
2. Style
Align To -> The alignment of the volume profile.
[SGM Volatility Lvl]Choppiness Index (CI)
The Choppiness Index is a technical analysis tool used to determine whether a market is trending or consolidating. CI values range between 0 and 100:
- Higher values (close to 100) indicate a choppy market (i.e., the market is consolidating and not trending strongly).
- Lower values (close to 0) signify a trending market (either up or down).
In this script:
- CI values above 62 are considered to represent high volatility.
- CI values below 28 are viewed as representing lower volatility or consolidation.
How the Indicator Works
Choppiness Index Calculation
The CI is calculated using the average true range (ATR) and the high-low range over the specified length:
ci = 100 * math.log10(math.sum(ta.atr(1), length_line) / (ta.highest(length_line) - ta.lowest(length_line))) / math.log10(length_line)
Volatility Determination
The script determines the market's volatility state based on CI:
if ci >= 62
ischarge := 2
if ci <= 28
ischarge := 0
- ischarge = 2 indicates high volatility.
- ischarge = 0 indicates consolidation.
Line Setup
Lines are set on the chart based on the market's volatility:
- If CI increases and indicates high volatility, a line (colored with `volcolor`) is drawn at the close price of the bar.
- If CI decreases and indicates consolidation, a line (colored with `conColor`) is drawn at the close price of the bar.
Line Extension
The lines are automatically extended to the next indicator update or bar:
for i = 0 to array.size(ray) - 1
if i < array.size(ray) - 1
current_line = array.get(ray, i)
next_line = array.get(ray, i + 1)
if not na(current_line) and not na(next_line)
line.set_x2(current_line, line.get_x1(next_line))
else
line.set_x2(current_line, bar_index)
Relevance
Identifying Key Levels
The indicator helps traders identify key levels as follows:
- High Volatility : Lines indicating high volatility suggest strong trending movements. These levels can signify breakout points or areas where the price has made significant moves.
- Consolidation : Lines indicating consolidation suggest the market is ranging. These levels can be used to identify sideways movements, areas of accumulation or distribution, and potential breakout zones.
Potential Future Points of Interest
- High Volatility Lines: Can serve as resistance or support levels if the market revisits these areas.
- Consolidation Lines: Highlight potential zones for price breakouts or reversals when the market transitions from consolidation to a trending phase.
In summary, this indicator can be particularly useful for traders looking to identify periods of high volatility and consolidation. By marking such periods on the chart, traders can better understand market behavior and spot potential trading opportunities.
[Pandora] Vast Volatility Treasure TroveINTRODUCTION:
Volatility enthusiasts, prepare for VICTORY on this day of July 4th, 2024! This is my "Vast Volatility Treasure Trove," intended mostly for educational purposes, yet these functions will also exhibit versatility when combined with other algorithms to garner statistical excellence. Once again, I am now ripping the lid off of Pandora's box... of volatility. Inside this script is a 'vast' collection of volatility estimators, reflecting the indicators name. Whether you are a seasoned trader destined to navigate financial strife or an eagerly curious learner, this script offers a comprehensive toolkit for a broad spectrum of volatility analysis. Enjoy your journey through the realm of market volatility with this code!
WHAT IS MARKET VOLATILITY?:
Market volatility refers to various fluctuations in the value of a financial market or asset over a period of time, often characterized by occasional rapid and significant deviations in price. During periods of greater market volatility, evolving conditions of prices can move rapidly in either direction, creating uncertainty for investors with results of sharp declines as well as rapid gains. However, market volatility is a typical aspect expected in financial markets that can also present opportunities for informed decision-making and potential benefits from the price flux.
SCRIPT INTENTION:
Volatility is assuredly omnipresent, waxing and waning in magnitude, and some readers have every intention of studying and/or measuring it. This script serves as an all-in-one armada of volatility estimators for TradingView members. I set out to provide a diverse set of tools to analyze and interpret market volatility, offering volatile insights, and aid with the development of robust trading indicators and strategies.
In today's fast-paced financial markets, understanding and quantifying volatility is informative for both seasoned traders and novice investors. This script is designed to empower users by equipping them with a comprehensive suite of volatility estimators. Each function within this script has been meticulously crafted to address various aspects of volatility, from traditional methods like Garman-Klass and Parkinson to more advanced techniques like Yang-Zhang and my custom experimental algorithms.
Ultimately, this script is more than just a collection of functions. It is a gateway to a deeper understanding of market volatility and a valuable resource for anyone committed to mastering the complexities of financial markets.
SCRIPT CONTENTS:
This script includes a variety of functions designed to measure and analyze market volatility. Where applicable, an input checkbox option provides an unbiased/biased estimate. Below is a brief description of each function in the original order they appear as code upon first publish:
Parkinson Volatility - Estimates volatility emphasizing the high and low range movements.
Alternate Parkinson Volatility - Simpler version of the original Parkinson Volatility that I realized.
Garman-Klass Volatility - Estimates volatility based on high, low, open, and close prices using a formula that adjusts for biases in price dynamics.
Rogers-Satchell-Yoon Volatility #1 - Estimates volatility based on logarithmic differences between high, low, open, and close values.
Rogers-Satchell-Yoon Volatility #2 - Similar estimate to Rogers-Satchell with the same result via an alternate formulation of volatility.
Yang-Zhang Volatility - An advanced volatility estimate combining both strengths of the Garman-Klass and Rogers-Satchell estimators, with weights determined by an alpha parameter.
Yang-Zhang (Modified) Volatility - My experimental modification slightly different from the Yang-Zhang formula with improved computational efficiency.
Selectable Volatility - Basic customizable volatility calculation based on the logarithmic difference between selected numerator and denominator prices (e.g., open, high, low, close).
Close-to-Close Volatility - Estimates volatility using the logarithmic difference between consecutive closing prices. Specifically applicable to data sources without open, high, and low prices.
Open-to-Close Volatility - (Overnight Volatility): Estimates volatility based on the logarithmic difference between the opening price and the last closing price emphasizing overnight gaps.
Hilo Volatility - Estimates volatility using a method similar to Parkinson's method, which considers the logarithm of the high and low prices.
Vantage Volatility - My experimental custom 'vantage' method to estimate volatility similar to Yang-Zhang, which incorporates various factors (Alpha, Beta, Gamma) to generate a weighted logarithmic calculation. This may be a volatility advantage or disadvantage, hence it's name.
Schwert Volatility - Estimates volatility based on arithmetic returns.
Historical Volatility - Estimates volatility considering logarithmic returns.
Annualized Historical Volatility - Estimates annualized volatility using logarithmic returns, adjusted for the number of trading days in a year.
If I omitted any other known varieties, detailed requests for future consideration can be made below for their inclusion into this script within future versions...
BONUS ALGORITHMS:
This script also includes several experimental and bonus functions that push the boundaries of volatility analysis as I understand it. These functions are designed to provide additional insights and also are my ideal notions for traders looking to explore other methods of volatility measurement.
VOLATILITY APPLICATIONS:
Volatility estimators serve a common role across various facets of trading and financial analysis, offering insights into market behavior. These tools are already in instrumental with enhancing risk management practices by providing a deeper understanding of market dynamics and the inherent uncertainty in asset prices. With volatility estimators, traders can effectively quantifying market risk and adjust their strategies accordingly, optimizing portfolio performance and mitigating potential losses. Additionally, volatility estimations may serve as indication for detecting overbought or oversold market conditions, offering probabilistic insights that could inform strategic decisions at turning points. This script
distinctly offers a variety of volatility estimators to navigate intricate financial terrains with informed judgment to address challenges of strategic planning.
CODE REUSE:
You don't have to ask for my permission to use/reuse these functions in your published scripts, simply because I have better things to do than answer requests for the reuse of these functions.
Notice: Unfortunately, I will not provide any integration support into member's projects at all. I have my own projects that require way too much of my day already.
ATR Gerchik LightAverage True Range ( ATR ) is a technical analysis indicator that measures volatility in the market. ATR is a moving average of the true range over a period of time.
ATR calculation procedure:
1. Determine the true maximum - this is the highest of the current maximum and yesterday's closing price of the day.
2. Determine the true minimum - this is the smallest of the current minimum and yesterday's closing price.
3. Determine the true range - this is the distance between the true maximum and minimum.
4. We exclude extremely large candles (> x2 ATR) and extremely small ones (< 0.5 ATR) from the obtained true ranges.
5. We calculate the average for the selected period based on the remaining range.
6. We calculate the percentage of the current True Range relative to the average ATR value for the previous period.
Description:
If you analyze it yourself, you will see that 75-80% of the time, the instrument moves only 1 ATR per day. You must understand that if an instrument has, for example, moved 80% of its daily range, it is not advisable to purchase it. This is comparable to a car's fuel tank: if the tank is almost empty, the car won't go far. Most indicators that calculate ATR include anomalous candles, which give unreliable results and lead to incorrect decisions. Because of this, many traders prefer to calculate ATR on their own.
However, the Gerchik ATR indicator accounts for anomalous candles and filters out extremely large candles (> 2x ATR) and extremely small ones (< 0.5x ATR). Additionally, this indicator immediately shows the consumed “fuel” of the instrument as a percentage, so you don't have to calculate the distance traveled yourself. This allows you to make quick, informed decisions. If we see that the tank is almost empty, it is logical not to get into that car today. When building any strategy, you must rely on the average movement.
Key Features:
Anomalous Candle Filtering: Excludes extremely large and small candles to provide more reliable ATR values.
Consumed Fuel Indicator: Shows the percentage of the ATR consumed, helping traders quickly assess the remaining potential movement.
Daily Timeframe Focus: Designed specifically for use on daily charts for accurate long-term analysis.
Practical Applications:
Entry and Exit Points: Use the ATR to determine optimal entry and exit points by assessing market volatility and potential price movement.
Stop-Loss Placement: Calculate stop-loss levels based on ATR to ensure they are placed at appropriate distances, accounting for current market volatility.
Trend Confirmation: Use the percentage of ATR consumed to confirm the strength of a trend and decide whether to enter or exit trades.
Examples of Use:
Trend Following: During strong trends, ATR helps identify periods of increased volatility, signaling potential breakouts or reversals.
Range Trading: In ranging markets, ATR can highlight periods of low volatility, indicating consolidation and potential breakout zones.
Note: The indicator is displayed and works only on the daily timeframe!
The indicator was created according to the instructions, description of the functionality, and strategy of Mr. Gerchik. Thank you so much, Chief!
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Average True Range ( ATR , средний истинный диапазон) – это индикатор технического анализа, который измеряет волатильность на рынке. ATR представляет собой скользящее среднее истинного диапазона за определенный период времени.
Порядок расчета ATR:
1. Определяем истинный максимум – это наивысшее из текущего максимума и вчерашней цены закрытия дня.
2. Определяем истинный минимум – это наименьшее из текущего минимума и вчерашней цены закрытия.
3. Определяем истинный диапазон – это расстояние между истинным максимумом и минимумом.
4. Исключаем из полученных истинных диапазонов экстремально большие свечи (> x2 ATR) и экстремально маленькие (< 0.5 ATR).
5. Рассчитываем среднее за выбранный период исходя из оставшегося диапазона.
6 . Рассчитываем процент текущего истинного диапазона (True Range) относительно среднего значения ATR за предыдущий период.
Описание:
Если вы сами проанализируете, то увидите, что 75-80% времени инструмент ходит только 1 ATR. И вы должны понимать, что если инструмент внутри дня прошел, к примеру, 80% своего движения, то этот инструмент больше нельзя покупать. Это можно сравнить с баком машины: если бак почти пустой, машина далеко не уедет. Большинство индикаторов, которые рассчитывают ATR, производят расчет с паранормальными свечами. Это дает недостоверный результат и приводит к неверным решениям. Многие трейдеры из-за этого не используют готовые индикаторы и предпочитают считать ATR самостоятельно. Но индикатор ATR Gerchik учитывает паранормальные свечи и фильтрует экстремально большие свечи (> x2 ATR) и экстремально маленькие (< 0.5 ATR). Также этот индикатор сразу показывает израсходованный "бензин" инструмента в процентах. И вам не надо самостоятельно высчитывать пройденный путь. Вы можете быстро принимать правильные решения. Если мы видим, что бак почти пустой, логично не садиться в эту машину сегодня. Когда вы строите какую-то стратегию, вы должны обязательно полагаться на среднестатистическое движение.
Существует много стратегий, завязанных на ATR, которые учитывают волатильность инструмента, запас хода, точки разворота, места выставления стоп-лоссов (SL) и тейк-профитов (TP) и другие факторы. Я не буду останавливаться на них, так как каждый может найти описание этих стратегий и использовать их на свой выбор.
Индикатор отображается и работает только на дневном таймфрейме!
Индикатор создан по наставлениям, описанию функционала и стратегии господина Герчика. Огромное спасибо, Шеф!
