Simplified Market ProfileVolume Bins: This script divides the price range into num_bins equal price levels. Each bin holds the cumulative volume for that price range.
Profile Length: The number of past bars that the profile considers for building the volume histogram.
Bin Size: The price range between bins is determined by dividing the difference between the highest and lowest prices over the specified range.
Volume Calculation: The script iterates over each bar within the specified range, determining which price bin the bar’s volume should be added to.
Plotting: The script visualizes the volume profile as lines plotted horizontally at different price levels, with thickness proportional to the volume traded at that level.
Indicators and strategies
Dynamic Jurik RSX w/ Fisher Transform█ Introduction
The Dynamic Jurik RSX with Fisher Transform is a powerful and adaptive momentum indicator designed for traders who seek a non-laggy view of price movements. This script is based on the classic Jurik RSX (Relative Strength Index). It also includes features such as the dynamic overbought and oversold limits, the Inverse Fisher Transform, trend display, slope calculations, and the ability to color extremes for better clarity.
█ Key Features:
• RSX: The Relative Strength Index (RSX) in this script is based on Jurik’s RSX, which is smoother than the traditional RSI and aims to reduce noise and lag. This script calculates the RSX using an exponential smoothing technique and adaptive adjustments.
• Inverse Fisher Transform: This script can optionally apply the Inverse Fisher Transform to the RSX, which helps to normalize the RSX values, compressing them between -1 and 1. The inverse transformation makes it easier to spot extreme values (overbought and oversold conditions) by enhancing the visual clarity of those extremes. It also smooths the curve over a user-defined period in hopes of providing a more consistent signal.
• Dynamic Limits: The dynamic overbought and oversold limits are calculated based on the RSX's recent high and low values. The limits adjust dynamically depending on market conditions, making them more relevant to current price action.
• Slope Display: The slope of the RSX is calculated as the rate of change between the current and previous RSX value. The slope is displayed as dots when the slope exceeds the threshold designated by the user, providing visual cues for momentum shifts.
• Trend Coloring: Optionally, the user can also enable a trend-based display. It is simply based on current value of RSX versus the previous one. If RSX is rising then the trend is bullish, if not, then the trend is bearish.
• Coloring Extremes: Users can configure the RSX to color the chart when prices enter extreme conditions, such as overbought or oversold zones, providing visual cues for market reversals.
█ Attached Chart Notes:
• Top Panel: Enabled dynamic limits, Trend display, standard Jurik RSX with 20 lookback period, and Slope display.
• Middle Panel: Enabled dynamic limits, Extremes display, and standard Jurik RSX with 20 lookback period.
• Bottom Panel: Enabled dynamic limits, Trend display, Inverse Fisher Transform with 14 lookback period and 9 smoothing period. and Slope display.
█ Credits:
Special thanks to Everget for providing the original script. The script was also slightly modified based on updates from outside sources.
█ Disclaimer:
This script is for educational purposes only and should not be considered financial advice. Always conduct your own research and consult a professional before making any trading decisions.
VWAP Periodic Close [LuxAlgo]The VWAP Periodic Close script offers an advanced tool for analyzing the Volume Weighted Average Price (VWAP) across various timeframes.
This tool enables traders to visualize VWAP close levels for daily, weekly, monthly, quarterly, and yearly periods, offering a comprehensive view of price behavior across different time frames. It helps in identifying key levels where the VWAP closes at the end of each specified period.
🔶 USAGE
This script is designed to enhance your trading strategy by plotting VWAP close levels on your chart for different time periods. This helps traders easily identify historical VWAP levels and analyze price action relative to these levels, particularly useful for identifying key support and resistance levels providing insights into potential future price behavior.
Supports VWAP closes for multiple timeframes, including historical periods (e.g., 3 months back, 3 quarters back, 3 years back). The labels provide context and detailed information about the VWAP close at a specific point in time and enhance the clarity and usefulness of the VWAP data presented on the chart.
Users can toggle the display of VWAP lines for different periods and customize the colors for each timeframe (e.g., distinct colors for monthly, quarterly, and yearly closes).
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 Volume Weighted Average Price (VWAP)
VWAP Close Level: Toggle the display of VWAP levels at the end of each period (daily, weekly, monthly, quarterly, yearly).
VWAP Origin: Toggle the display of the VWAP line for each period.
VWAP Source: Choose the data source for VWAP calculations (default is HLC3).
Historical Closes: Define the number of historical VWAP levels to plot.
Line/Label Offset: Adjust the offset for positioning lines and labels on the chart.
🔹 Themes
Theme Selection: Choose between "Day," "Night," or "Custom" themes to adjust the color scheme of VWAP lines and labels.
Dynamic ALMA with signalsEnhanced ALMA with Signals
This TradingView indicator is designed to enhance your trading strategy by utilizing the Arnaud Legoux Moving Average (ALMA), a unique moving average that provides smoother price action while minimizing lag. The script not only plots the ALMA line but also dynamically adjusts its parameters based on market volatility to adapt to different trading conditions. Additionally, it highlights potential bounce points off the line, as well as breakout points, giving traders clear signals for potential support, resistance levels, and breakouts.
Key Features:
Dynamic ALMA Line with Glow Effect:
The core of this indicator is the ALMA line, which is dynamically adjusted to market volatility, providing more accurate signals in varying conditions. The line adapts to both trending and consolidating markets by adjusting its sensitivity in real time. A glow effect is created by plotting the ALMA line multiple times with increasing transparency, making it visually distinct.
Bounce Detection Signals with Volatility Filter:
The script detects and labels potential support and resistance bounces based on the crossover and crossunder of the price with the ALMA line, further filtered by a volatility condition. This helps in filtering out false signals during low-volatility conditions, making the signals more reliable.
Visual Enhancements:
Custom glow effects and labels for bounce detection enhance chart readability and help traders quickly identify key levels.
Inputs:
Base Window Size: Sets the number of bars used in calculating the ALMA, allowing traders to adjust the sensitivity of the moving average. This parameter is dynamically adjusted based on current market volatility.
Offset: Determines the position of the ALMA curve. Higher values move the curve further away from the price. This value remains constant for stability.
Sigma: Controls the smoothness of the ALMA curve; a higher sigma results in a smoother curve. This value also remains constant.
ATR Period and Threshold Multiplier: Used to calculate the Average True Range (ATR) for the volatility filter, which determines whether the market conditions are sufficiently volatile to consider bounce signals.
How It Works:
Dynamic ALMA Calculation:
The script calculates the ALMA (Arnaud Legoux Moving Average) using the ta.alma function, dynamically adjusting the window size based on market volatility measured by the ATR (Average True Range). This ensures that the ALMA line remains responsive in high-volatility environments and smooth in low-volatility conditions.
Glow Effect:
To create a glow effect around the ALMA line, the script plots the ALMA multiple times with varying degrees of transparency. This visual enhancement helps the ALMA line stand out on the chart.
Bounce Detection with Volatility Filter:
The script uses two conditions to detect potential bounces:
Support Bounce: Detected when the low of the bar crosses above the ALMA line (ta.crossover(low, alma)) and the close is above the ALMA, while the volatility filter confirms sufficient market activity. This suggests potential support at the ALMA line.
Resistance Bounce: Detected when the high of the bar crosses below the ALMA line (ta.crossunder(high, alma)) and the close is below the ALMA, while the volatility filter confirms sufficient market activity. This indicates potential resistance at the ALMA line.
Labeling Bounce Points:
When a bounce is detected, the script labels it on the chart:
Support Bounces (S): Labeled with a blue "S" below the bar where a support bounce is detected.
Resistance Bounces (R): Labeled with a white "R" above the bar where a resistance bounce is detected.
Usage:
This enhanced indicator helps traders visualize key support and resistance levels more effectively by dynamically adjusting the ALMA moving average to market conditions. By detecting and labeling potential bounce points and filtering these signals based on volatility, traders can better identify entry and exit points in their trading strategy. The dynamic adjustments and visual enhancements make it easier to spot critical levels quickly and adapt to changing market conditions.
Customize the inputs to fit your trading style, and use this enhanced ALMA indicator to gain a more refined understanding of market trends, potential reversals, and breakouts.
Adaptive RSI-Stoch with Butterworth Filter [UAlgo]The Adaptive RSI-Stoch with Butterworth Filter is a technical indicator designed to combine the strengths of the Relative Strength Index (RSI), Stochastic Oscillator, and a Butterworth Filter to provide a smooth and adaptive momentum-based trading signal. This custom-built indicator leverages the RSI to measure market momentum, applies Stochastic calculations for overbought/oversold conditions, and incorporates a Butterworth Filter to reduce noise and smooth out price movements for enhanced signal reliability.
By utilizing these combined methods, this indicator aims to help traders identify potential market reversal points, momentum shifts, and overbought/oversold conditions with greater precision, while minimizing false signals in volatile markets.
🔶 Key Features
Adaptive RSI and Stochastic Oscillator: Calculates RSI using a configurable period and applies a dual-smoothing mechanism with Stochastic Oscillator values (K and D lines).
Helps in identifying momentum strength and potential trend reversals.
Butterworth Filter: An advanced signal processing filter that reduces noise and smooths out the indicator values for better trend identification.
The filter can be enabled or disabled based on user preferences.
Customizable Parameters: Flexibility to adjust the length of RSI, the smoothing factors for Stochastic (K and D values), and the Butterworth Filter period.
🔶 Interpreting the Indicator
RSI & Stochastic Calculations:
The RSI is calculated based on the closing price over the user-defined period, and further smoothed to generate Stochastic Oscillator values.
The K and D values of the Stochastic Oscillator provide insights into short-term overbought or oversold conditions.
Butterworth Filter Application:
What is Butterworth Filter and How It Works?
The Butterworth Filter is a type of signal processing filter that is designed to have a maximally flat frequency response in the passband, meaning it doesn’t distort the frequency components of the signal within the desired range. It is widely used in digital signal processing and technical analysis to smooth noisy data while preserving the important trends in the underlying data. In this indicator, the Butterworth Filter is applied to the trigger value, making the resulting signal smoother and more stable by filtering out short-term fluctuations or noise in price data.
Key Concepts Behind the Butterworth Filter:
Filter Design: The Butterworth filter works by calculating weighted averages of current and past inputs (price or indicator values) and outputs to produce a smooth output. It is characterized by the absence of ripple in the passband and a smooth roll-off after the cutoff frequency.
Cutoff Frequency: The period specified in the indicator acts as a control for the cutoff frequency. A higher period means the filter will remove more high-frequency noise and retain longer-term trends, while a lower period means it will respond more to short-term fluctuations in the data.
Smoothing Process: In this script, the Butterworth Filter is calculated recursively using the following formula,
butterworth_filter(series float input, int period) =>
float wc = math.tan(math.pi / period)
float k1 = 1.414 * wc
float k2 = wc * wc
float a0 = k2 / (1 + k1 + k2)
float a1 = 2 * a0
float a2 = a0
float b1 = 2 * (k2 - 1) / (1 + k1 + k2)
float b2 = (1 - k1 + k2) / (1 + k1 + k2)
wc: This is the angular frequency, derived from the period input.
k1 and k2: These are intermediate coefficients used in the filter calculation.
a0, a1, a2: These are the feedforward coefficients, which determine how much of the current and past input values will contribute to the filtered output.
b1, b2: These are feedback coefficients, which determine how much of the past output values will contribute to the current output, effectively allowing the filter to "remember" past behavior and smooth the signal.
Recursive Calculation: The filter operates by taking into account not only the current input value but also the previous two input values and the previous two output values. This recursive nature helps it smooth the signal by blending the recent past data with the current data.
float filtered_value = a0 * input + a1 * prev_input1 + a2 * prev_input2
filtered_value -= b1 * prev_output1 + b2 * prev_output2
input: The current input value, which could be the trigger value in this case.
prev_input1, prev_input2: The previous two input values.
prev_output1, prev_output2: The previous two output values.
This means the current filtered value is determined by the combination of:
A weighted sum of the current input and the last two inputs.
A correction based on the last two output values to ensure smoothness and remove noise.
In conclusion when filter is enabled, the Butterworth Filter smooths the RSI and Stochastic values to reduce market noise and highlight significant momentum shifts.
The filtered trigger value (post-Butterworth) provides a cleaner representation of the market's momentum.
Cross Signals for Trade Entries:
Buy Signal: A bullish crossover of the K value above the D value, particularly when the values are below 40 and when the Stochastic trigger is below 1 and the filtered trigger is below 35.
Sell Signal: A bearish crossunder of the K value below the D value, particularly when the values are above 60 and when the Stochastic trigger is above 99 and the filtered trigger is above 90.
These signals are plotted visually on the chart for easy identification of potential trading opportunities.
Overbought and Oversold Zones:
The indicator highlights the overbought zone when the filtered trigger surpasses a specific threshold (typically above 100) and the oversold zone when it drops below 0.
The color-coded fill areas between the Stochastic and trigger lines help visualize when the market may be overbought (likely a reversal down) or oversold (potential reversal up).
🔶 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.
Relative Strength and MomentumRelative Strength and Momentum Indicator
Unlock deeper market insights with the Relative Strength and Momentum Indicator—a powerful tool designed to help traders and investors identify the strongest stocks and sectors based on relative performance. This custom indicator displays essential information on relative strength and momentum for up to 15 different symbols, compared against a benchmark index, all within a clear and organized table format.
Key Features:
1. Customizable Inputs: Choose up to 15 symbols to compare, along with a benchmark index, allowing you to tailor the indicator to your trading strategy. The 'Lookback Period' input defines how many weeks of data are analyzed for relative strength and momentum.
2. Relative Strength Calculation: For each selected symbol, the indicator calculates the Relative Strength (RS) against the chosen benchmark. This RS is further refined using an exponential moving average (EMA) to smooth the results, providing a more stable trend overview.
3. Momentum Analysis: Momentum is determined by analyzing the rate of change in relative strength. The indicator calculates a momentum rank for each symbol, based on its relative strength’s improvement or deterioration.
4. Percentile Ranking System: Each symbol is assigned a percentile rank (from 1 to 100) based on its relative strength compared to the others. Similarly, momentum rankings are also assigned from 1 to 100, offering a clear understanding of which assets are outperforming or underperforming.
5. Visual Indicators:
a. Green: Signals improving or stable relative strength and momentum.
b. Red: Indicates declining relative strength or momentum.
c. Aqua: Highlights symbols performing well on both relative strength and momentum—ideal candidates for further analysis.
6. Two Clear Tables:
a. Relative Strength Rank Table: Displays weekly rankings of relative strength for each symbol.
b. Momentum Table: Shows momentum trends, helping you identify which symbols are gaining or losing strength.
7. Color-Coded for Easy Analysis: The tables are color-coded to make analysis quick and straightforward. A green color means the symbol is performing well in terms of relative strength or momentum, while red indicates weaker performance. Aqua marks symbols that are excelling in both areas.
Use Case:
a. Sector Comparison: Identify which sectors or indexes are showing both relative strength and momentum to pick high-potential stocks. This allows you to align with broader market trends for improved trade entries.
b. Stock Selection: Quickly compare symbols within the same sector to find the stronger performers.
Pseudo-Renko Stabilized (Val)█ CALCULATE PSEUDO-RENKO VALUE
Calculates and returns the Pseudo-Renko Stabilized value (or close price) based on a given input value, along with the direction of the current Renko brick. This function adapts the traditional Renko brick size dynamically based on the volatility of the input value using a combination of SMA and EMA calculations. The calculated price represents the closing price of the most recent Pseudo-Renko brick, while the direction indicates the trend ( 1 for uptrend, -1 for downtrend).
Parameters:
* `val` :
* Type: ` float `
* Description: The input value upon which the Pseudo-Renko calculations are performed. You can use any price series or custom value as input.
* `sensitivity` :
* Type: ` float `
* Default Value: ` 1.0 `
* Description: Controls the sensitivity of the brick size to the volatility of the `val`. Higher values lead to larger bricks, resulting in a smoother Renko chart. Lower values produce smaller bricks, leading to a more reactive chart.
* Possible Values: Any positive float.
* `length` :
* Type: ` int `
* Default Value: ` 7 `
* Description: The length used for calculating the EMA and SMA in the dynamic brick size calculation. It influences how quickly the brick size adapts to changing volatility of the `val`.
* Possible Values: Any positive integer.
Return Values:
* `lastRenkoClose` :
* Type: ` float `
* Description: The closing price of the last completed Pseudo-Renko brick based on the `val`.
* `renkoDirection` :
* Type: ` int `
* Description: The direction of the current Pseudo-Renko brick based on the `val`:
* ` 1 `: Uptrend
* ` -1 `: Downtrend
* ` 0 `: No change (initially, or no brick change since the previous bar)
Example Usage:
//@version=5
indicator("Pseudo-Renko Stabilized (Val)", overlay=true)
// Get user inputs
sensitivityInput = input.float(0.1, "Sensitivity",0.01,step=0.01)
lengthInput = input.int(5, "Length",2)
// Example usage with the 'close' price as the input value
= pseudo_renko(math.avg(close,open), sensitivityInput, lengthInput)
// Plot the Renko close price
plot(renkoClose, "Renko Close", renkoDirection>0?color.aqua:color.orange,2)
// You can also use other values as input, such as:
// = pseudo_renko(high, sensitivityInput, lengthInput)
// = pseudo_renko(low, sensitivityInput, lengthInput)
This example demonstrates how to use the `pseudo_renko` function within an indicator. It takes user inputs for `sensitivity` and `length`, then calculates the Pseudo-Renko values using the average of the `close` and `open` prices as the `val`. The resulting `renkoClose` price is plotted on the chart, with a color change based on the `renkoDirection`. It also illustrates how you can use other values, like `high` and `low`, as input to the function.
Note: The Pseudo-Renko algorithm is based on adapting the Renko brick size dynamically based on the input `val`. This provides more flexibility compared to the normal, but is experimental. The `sensitivity` and `length` parameters, along with the choice of the `val`, offer further customization to tune the algorithm's behavior to your preference and trading style.
Dema EFI Volume | viResearchDema EFI Volume | viResearch
Conceptual Foundation and Innovation
The "Dema EFI Volume" indicator from viResearch integrates the Double Exponential Moving Average (DEMA) with the Elder Force Index (EFI), providing a dynamic approach to analyzing both price trends and volume strength. The DEMA is applied to smooth out price fluctuations while minimizing lag, which enhances the ability to detect trend direction. The EFI, developed by Dr. Alexander Elder, measures the power behind price movements by incorporating both price change and volume. This indicator, when combined with DEMA smoothing, gives traders a more accurate understanding of whether the current price movements are supported by significant volume, helping them make more informed trading decisions. The combination of DEMA and EFI allows traders to track trend strength while assessing the market’s volume dynamics, offering a more reliable method for identifying potential trend continuations or reversals.
Technical Composition and Calculation
The "Dema EFI Volume" script consists of two key components: the Double Exponential Moving Average (DEMA) and the Elder Force Index (EFI). The DEMA is applied to the selected source price over a user-defined length, providing a smoothed representation of price movements while reducing the noise that can occur with traditional moving averages. The EFI is calculated by multiplying the change in the DEMA by the volume over a user-defined period, which indicates whether the price movement is being driven by strong or weak volume. The script monitors the EFI values and volume data to generate trend signals. If the EFI is positive and volume increases, this indicates bullish pressure, while a negative EFI with decreasing volume suggests bearish conditions. The combination of these signals helps traders determine whether a price move is backed by sufficient volume, making it easier to identify trend continuations or potential reversals.
Features and User Inputs
The "Dema EFI Volume" script offers several customizable inputs, allowing traders to adapt the indicator to their specific strategies. The DEMA Length controls the smoothing applied to the price data, while the EFI Length defines the period over which the force index is calculated. Additionally, traders can set alert conditions for when a bullish or bearish EFI signal occurs, enabling them to react quickly to changing market conditions.
Practical Applications
The "Dema EFI Volume" indicator is designed for traders who want to combine price trend analysis with volume dynamics in a single tool. This makes it particularly effective for identifying trend continuations, as rising volume alongside a positive EFI suggests that the market move is supported by strong momentum. Conversely, decreasing volume and a negative EFI may indicate a weakening trend, giving traders early warning of potential reversals. The combination of DEMA and EFI also makes this indicator valuable for detecting trend strength by measuring whether price movements are backed by strong volume, confirming trend reversals by comparing price changes with volume activity, and improving trade entries and exits by analyzing both price and volume for more robust signals.
Advantages and Strategic Value
The "Dema EFI Volume" script offers significant advantages by combining the DEMA’s smoothing power with the EFI’s volume analysis. This integration allows traders to filter out noise in price data while ensuring that trend signals are backed by meaningful volume. The result is a more reliable tool for trend-following and reversal detection, making it easier for traders to stay aligned with strong market moves while avoiding false signals caused by low-volume fluctuations. The dual focus on price and volume makes the "Dema EFI Volume" an ideal tool for traders who value a comprehensive approach to market analysis.
Alerts and Visual Cues
The script includes alert conditions that notify traders when a significant EFI signal occurs. The "EFI Volume Long" alert is triggered when the EFI is positive and volume increases, indicating a potential upward trend. The "EFI Volume Short" alert signals a possible downward trend when the EFI turns negative and volume decreases. Visual cues, such as the color and direction of the plotted EFI line, help traders quickly identify trend shifts and make timely decisions.
Summary and Usage Tips
The "Dema EFI Volume | viResearch" indicator provides traders with a powerful tool for analyzing both price trends and volume strength. By incorporating this script into your trading strategy, you can improve your ability to detect trend continuations and reversals, making more informed decisions based on a combination of price movement and volume dynamics. Whether you are focused on identifying trend strength or looking for early reversal signals, the "Dema EFI Volume" offers a reliable and customizable solution for traders of all levels.
Note: Backtests are based on past results and are not indicative of future performance.
[ROC3] Rate of Change Candle ColorROC is a statistical indicator which tracks how much a security's price has changed over a certain period, showing whether momentum is picking up or slowing down. It’s a handy tool because it helps traders spot trend changes and understand how strong a trend is.
My ROC3 indicator will color the candlesticks based on the Rate of Change (ROC) and its Exponential Moving Average (EMA). This indicator helps traders visually identify bullish and bearish trends by applying color to the candles, making it easier to spot momentum shifts and trend changes.
How It Works:
Rate of Change (ROC): Calculates the percentage change in the price over a specified number of bars. This indicator measures the speed at which price changes.
EMA of ROC: Applies an Exponential Moving Average to the ROC values to provide a smoothed benchmark. The EMA helps to reduce noise and make trend identification more reliable.
Coloring Logic:
Bullish Candles (Green): When the current ROC is higher than the EMA of the ROC.
Bearish Candles (Red): When the current ROC is lower than the EMA of the ROC.
Settings:
ROC Length (Default: 60): The number of bars used to calculate the Rate of Change. Adjust this parameter to change the sensitivity of the ROC calculation.
ROC EMA Length (Default: 7): The number of bars used to calculate the Exponential Moving Average of the ROC. This length determines how smooth the EMA is. A shorter length reacts faster to price changes, while a longer length provides a smoother, slower response.
How to Use:
Apply the Indicator: Add the Rate of Change Candle Color indicator to your TradingView chart.
Interpret the Colors:
Green Candles: Indicate bullish momentum. The current ROC is greater than its EMA, suggesting upward pressure.
Red Candles: Indicate bearish momentum. The current ROC is less than its EMA, suggesting downward pressure.
Adjust Settings: Customize the ROC Length and ROC EMA Length based on your trading strategy. Shorter ROC lengths may capture more short-term trends, while longer lengths provide a broader view.
Combine with Other Indicators: Use the in conjunction with other technical indicators or chart patterns to enhance your trading analysis.
Example Use Case:
Trend Confirmation: Use the color changes to confirm bullish or bearish trends. Green candles can confirm uptrends, while red candles may signal downtrends or potential reversals.
Momentum Analysis: Monitor how frequently the ROC crosses above or below its EMA to gauge momentum strength and make informed trading decisions.
Note:
This indicator is designed to assist with trend analysis and should be used as part of a broader trading strategy. Always conduct your own research and analysis before making trading decisions.
Cherio...
Volume Wave Trend ConfirmationUtility of the Indicator
The core utility of this indicator lies in its ability to utilize volume, a less frequently exploited metric in MACD analysis, providing several strategic advantages:
Trend Confirmation: By focusing on volume, the indicator confirms whether movements in price are backed by significant trading activity. A rising MACD line above the signal line, paired with increasing volume, can confirm the strength of an uptrend. Conversely, if the histogram turns negative while the MACD line falls below the signal line during a price drop, it confirms a robust downtrend.
Early Warning Signals: Changes in the histogram and divergences between the MACD and Signal lines can serve as early warnings of potential reversals or slowdowns in market momentum. For instance, a shrinking histogram in an uptrend might suggest that the upward movement is losing steam.
Market Sentiment: The integration of volume into the MACD framework allows the indicator to provide insights into underlying market sentiment. Higher volumes during price movements indicate stronger conviction among traders, making the trend more reliable.
Indicator Functionality
The "Volume Wave Trend Confirmation" indicator is built on the Moving Average Convergence Divergence (MACD) framework, but with a unique twist: it uses the smoothed moving averages (SMA) of trading volumes instead of price. The indicator calculates two specific SMAs of the volume — a shorter 33-period SMA and a longer 100-period SMA — and computes their difference. This difference is then used as the input for the MACD calculation, with typical parameters set at 12, 26, and a signal line of 9.
MACD Line (Blue): Represents the main line, calculated as the difference between the 12-period and 26-period exponential moving averages (EMA) of the volume difference.
Signal Line (Orange): A 9-period EMA of the MACD line, acting as a trigger for buy or sell signals.
Histogram (Blue/Purple): Measures the distance between the MACD line and the Signal line, colored blue when positive (above the Signal line) and purple when negative (below the Signal line).
Solar System in 3D [Astro Tool w/ Zodiac]Hello Traders and Developers,
I am excited to announce my latest Open Source indicator. At the core, this is a demonstration of PineScript’s capabilities in Rendering 3D Animations, while at the same time being a practical tool for Financial Astrologists.
This 3D Engine dynamically renders all the major celestial bodies with their individual orbits, rotation speeds, polar inclinations and astrological aspects, all while maintaining accurate spatial relationships and perspective.
This is a Geocentric model of the solar system (viewed from the perspective of Earth), since that is what most Astrologists use. Thanks to the AstroLib Library created by @BarefootJoey, this model uses the real coordinates of cosmic bodies for every timestamp.
This script truly comes to life when using the “Bar Replay” mode in TradingView, as you can observe the relationships between planets and price action as time progresses, with the full animation capabilities as mentioned above.
In addition to what I have described, this indicator also displays the orbital trajectories for each cosmic body, and has labels for everything. I have also added the ability to hover on all the labels, and see a short description of what they imply in Astrology.
Optional Planetary Aspect Computation
This indicator supports all the Major Planetary Aspects, with an accuracy defined by the user (1° by default).
Conjunction: 0° Alignment. This draws a RED line starting from the center, and going through both planets.
Sextile: 60° Alignment. This draws three YELLOW lines, connecting the planets to each other and to the center.
Square: 90° Alignment. This draws three BLUE lines, connecting the planets to each other and to the center.
Trine: 120° Alignment. This draws three PURPLE lines, connecting the planets to each other and to the center.
Opposition: 180° Alignment. This draws a GREEN line starting from one planet, passing through the center and ending on the second planet.
The below image depicts a Top-Down view of the system, with the Moon in Opposition to Venus and with Mars in Square with Neptune .
Retrograde Computation
This indicator also displays when a planet enters Retrograde (Apparent Backward Motion) by making its orbital trajectory dashed and the planet name getting a red background.
The image below displays an example of Jupiter, Saturn, Neptune and Pluto in Retrograde Motion, from the camera perspective of a 65 degree inclination.
Optional Zodiac Computation (Tropical and Sidereal)
Zodiac represents the relatively stationary star formations that rest along the ecliptic plane, with planets transitioning from one to the next, each with a 30° separation (making 12 in total). I have implemented the option to switch between Tropical mode (where these stars were 2,000 years ago) and Sidereal (where these stars are today).
The image below displays the Zodiac labels with clear lines denoting where each planet falls into.
While this indicator is deployed in a separate pane, it is trivial to transfer it onto your price chart, just by clicking and dragging the graphics. After that, you can adjust the visuals by dragging the scale on the side, or optimizing model settings. You can also drag the model above or below the price, as shown in the following image:
Of course, there are a lot of options to customize this planetary model to your tastes and analytical needs. Aside from visual changes for the labels, colors or resolution you can also disable certain planets that don’t meet your needs as shown below:
Once can also infer the current lunar phases using the Aspects between the Sun and Moon. When the Moon is Opposite the Sun that is a Full Moon, while when they are Conjunct that is a New Moon (and sometimes Eclipse).
—---------------------------------------------------------------------------
I have made this indicator open source to help PineScript programmers understand how to approach 3D graphics rendering, enabling them to develop ever more capable scripts and continuously push the boundaries of what's possible on TradingView.
The code is well documented with comments and has a clear naming convention for functions and variables, to aid developers understand how everything operates.
For financial astrologists, this indicator offers a new way to visualize and correlate planetary movements, adding depth and ease to astrological market analysis.
Regards,
Hawk
Sinc Bollinger BandsKaiser Windowed Sinc Bollinger Bands Indicator
The Kaiser Windowed Sinc Bollinger Bands indicator combines the advanced filtering capabilities of the Kaiser Windowed Sinc Moving Average with the volatility measurement of Bollinger Bands. This indicator represents a sophisticated approach to trend identification and volatility analysis in financial markets.
Core Components
At the heart of this indicator is the Kaiser Windowed Sinc Moving Average, which utilizes the sinc function as an ideal low-pass filter, windowed by the Kaiser function. This combination allows for precise control over the frequency response of the moving average, effectively separating trend from noise in price data.
The sinc function, representing an ideal low-pass filter, provides the foundation for the moving average calculation. By using the sinc function, analysts can independently control two critical parameters: the cutoff frequency and the number of samples used. The cutoff frequency determines which price movements are considered significant (low frequency) and which are treated as noise (high frequency). The number of samples influences the filter's accuracy and steepness, allowing for a more precise approximation of the ideal low-pass filter without altering its fundamental frequency response characteristics.
The Kaiser window is applied to the sinc function to create a practical, finite-length filter while minimizing unwanted oscillations in the frequency domain. The alpha parameter of the Kaiser window allows users to fine-tune the trade-off between the main-lobe width and side-lobe levels in the frequency response.
Bollinger Bands Implementation
Building upon the Kaiser Windowed Sinc Moving Average, this indicator adds Bollinger Bands to provide a measure of price volatility. The bands are calculated by adding and subtracting a multiple of the standard deviation from the moving average.
Advanced Centered Standard Deviation Calculation
A unique feature of this indicator is its specialized standard deviation calculation for the centered mode. This method employs the Kaiser window to create a smooth deviation that serves as an highly effective envelope, even though it's always based on past data.
The centered standard deviation calculation works as follows:
It determines the effective sample size of the Kaiser window.
The window size is then adjusted to reflect the target sample size.
The source data is offset in the calculation to allow for proper centering.
This approach results in a highly accurate and smooth volatility estimation. The centered standard deviation provides a more refined and responsive measure of price volatility compared to traditional methods, particularly useful for historical analysis and backtesting.
Operational Modes
The indicator offers two operational modes:
Non-Centered (Real-time) Mode: Uses half of the windowed sinc function and a traditional standard deviation calculation. This mode is suitable for real-time analysis and current market conditions.
Centered Mode: Utilizes the full windowed sinc function and the specialized Kaiser window-based standard deviation calculation. While this mode introduces a delay, it offers the most accurate trend and volatility identification for historical analysis.
Customizable Parameters
The Kaiser Windowed Sinc Bollinger Bands indicator provides several key parameters for customization:
Cutoff: Controls the filter's cutoff frequency, determining the divide between trends and noise.
Number of Samples: Sets the number of samples used in the FIR filter calculation, affecting the filter's accuracy and computational complexity.
Alpha: Influences the shape of the Kaiser window, allowing for fine-tuning of the filter's frequency response characteristics.
Standard Deviation Length: Determines the period over which volatility is calculated.
Multiplier: Sets the number of standard deviations used for the Bollinger Bands.
Centered Alpha: Specific to the centered mode, this parameter affects the Kaiser window used in the specialized standard deviation calculation.
Visualization Features
To enhance the analytical value of the indicator, several visualization options are included:
Gradient Coloring: Offers a range of color schemes to represent trend direction and strength for the moving average line.
Glow Effect: An optional visual enhancement for improved line visibility.
Background Fill: Highlights the area between the Bollinger Bands, aiding in volatility visualization.
Applications in Technical Analysis
The Kaiser Windowed Sinc Bollinger Bands indicator is particularly useful for:
Precise trend identification with reduced noise influence
Advanced volatility analysis, especially in the centered mode
Identifying potential overbought and oversold conditions
Recognizing periods of price consolidation and potential breakouts
Compared to traditional Bollinger Bands, this indicator offers superior frequency response characteristics in its moving average and a more refined volatility measurement, especially in centered mode. These features allow for a more nuanced analysis of price trends and volatility patterns across various market conditions and timeframes.
Conclusion
The Kaiser Windowed Sinc Bollinger Bands indicator represents a significant advancement in technical analysis tools. By combining the ideal low-pass filter characteristics of the sinc function, the practical benefits of Kaiser windowing, and an innovative approach to volatility measurement, this indicator provides traders and analysts with a sophisticated instrument for examining price trends and market volatility.
Its implementation in Pine Script contributes to the TradingView community by making advanced signal processing and statistical techniques accessible for experimentation and further development in technical analysis. This indicator serves not only as a practical tool for market analysis but also as an educational resource for those interested in the intersection of signal processing, statistics, and financial markets.
Related:
RSI TreeRSI Tree is a simple way to compare the strength of several different instruments against each other.
The default is to compare MSFT, NVDA, TSLA, GOOG, META, AMZN, AAPL and NASDAQ. You could do the same for currency pairs and any other instruments available in Trading View. However, it makes the most sense to compare seven instruments to an eighth underlying instrument. As you can see in the default values, we included the NASDAQ as the eighth instrument since the other seven are part of the NASDAQ composite index. If you were to trade major currency pairs, then your eighth instrument would most likely be the U.S. Dollar (DXY).
The chart setup is important as well. You need to split your chart horizontally into 4 plots. Each plot would be at a different timing interval. The example shows 4 hr, 1 hr, 15 min and 5 min (left to right) charts. Now not only can we compare the instruments against each other, but we can do it across time to get an idea of the motion of each instrument.
Note, the instrument used on the chart is somewhat important. If the chart is set to a currency pair, but you have the RSI Tree setup for equities (as in the default) then you will get some odd behavior due to the times when these are open. Equities are 0930 to 1600 EST, whereas something like a currency would be open 24 hours a day.
Layout for default settings: www.tradingview.com
Bugs?
Kindly report any issues and I'll try to fix them promptly.
Thank you!
Digital Clock with Market Status and AlertsDigital Clock with Market Status and Alerts - 日本語解説は下記
Overview:
The Digital Clock with Market Status and Alerts indicator is designed to display the current time in various global time zones while also providing the status of major financial markets such as Tokyo, London, and New York. This indicator helps traders monitor the open and close times of different markets and alerts them when a market opens. Customizable options are provided for table positioning, background, text colors, and font size.
Key Features:
Real-Time Digital Clock: The indicator shows the current time in your selected time zone (Asia/Tokyo, America/New_York, Europe/London, Australia/Sydney). The time updates in real-time and includes hours, minutes, and seconds, providing a convenient and accurate way to monitor time across different trading sessions.
Global Market Status: Displays the open or closed status of major financial markets.
・Tokyo Market: Open from 9:00 AM to 3:00 PM (JST).
・London Market: Open from 16:00 to 24:00 during summer time and from 17:00 to 1:00 during winter time (JST).
・New York Market: Open from 21:00 to 5:00 during summer time and from 22:00 to 6:00 during winter time (JST).
Customizable Display:
・Background Color: The indicator allows you to set the background color for the clock display, while the leftmost empty cell can be independently customized with its own background color for table alignment.
・Clock and Market Status Colors: Separate color options are available for the clock text, market status during open, and market status during closed periods.
・Text Size: You can adjust the size of the text (small, normal, large) to fit your preferences.
・Table Position: You can position the digital clock and market status table in different locations on the chart: top left, top center, top right, bottom left, bottom center, and bottom right.
Alerts for Market Opening: The indicator will trigger alerts when a market (Tokyo, London, or New York) opens, notifying traders in real-time. This can help ensure that you don't miss any important market openings.
How to Use:
Setup:
Apply the Indicator: Add the Digital Clock with Market Status and Alerts indicator to your chart. Customize the time zone, text size, background colors, and table position based on your preferences.
Monitor Market Status: Watch the market status displayed for Tokyo, London, and New York to keep track of market openings and closings in real-time.
Receive Alerts: The indicator provides built-in alerts for market openings, helping you stay informed when a key market opens for trading.
Time Monitoring:
・Real-Time Clock: The current time is displayed with hours, minutes, and seconds for accurate tracking. The clock updates every second and reflects the selected time zone.
・Global Time Zones: Choose your desired time zone (Tokyo, New York, London, Sydney) to monitor the time most relevant to your trading strategy.
Market Status:
・Tokyo Market: The status will display "Tokyo OPEN" when the Tokyo market is active, and "Tokyo CLOSED" when it is outside of trading hours.
・London Market: Similarly, the indicator will show "London OPEN" or "London CLOSED" depending on whether the London market is currently active.
・New York Market: The New York market status follows the same structure, showing "NY OPEN" or "NY CLOSED."
Customization:
・Table Positioning: Easily move the table to the desired location on the chart to avoid overlap with other chart elements. The leftmost empty cell helps with alignment.
・Text and Background Color: Adjust the text and background colors to suit your personal preferences. You can also set independent colors for open and closed market statuses to easily distinguish between them.
Cautions and Disclaimer:
・Indicator Modifications: This indicator may be updated without prior notice, which could change or remove certain features.
・Trade Responsibility: This indicator is a tool to assist your trading, but responsibility for all trades remains with you. No guarantee of profit or success is implied, and losses can occur. Use it alongside your own analysis and strategy.
Digital Clock with Market Status and Alerts - 解説と使い方
概要:
Digital Clock with Market Status and Alerts インジケーターは、さまざまな世界のタイムゾーンで現在の時刻を表示し、東京、ロンドン、ニューヨークなどの主要な金融市場のステータスを提供します。このインジケーターにより、複数の市場のオープンおよびクローズ時間をリアルタイムで監視でき、市場がオープンする際にアラートを受け取ることができます。テーブルの位置、背景色、テキストカラー、フォントサイズなどのカスタマイズが可能です。
主な機能:
リアルタイムデジタル時計: 選択したタイムゾーン（東京、ニューヨーク、ロンドン、シドニー）の現在時刻を表示します。リアルタイムで更新され、時間、分、秒を正確に表示します。
世界の市場ステータス: 主要な金融市場のオープン/クローズ状況を表示します。
・東京市場: 午前9時～午後3時（日本時間）。
・ロンドン市場: 夏時間では16時～24時、冬時間では17時～1時（日本時間）。
・ニューヨーク市場: 夏時間では21時～5時、冬時間では22時～6時（日本時間）。
カスタマイズ可能な表示設定:
・背景色: 時計表示の背景色を設定できます。また、テーブルの左側に空白のセルを配置し、独立した背景色を設定することでテーブルの配置調整が可能です。
・時計と市場ステータスの色: 時計テキスト、オープン市場、クローズ市場の色を個別に設定できます。
・テキストサイズ: 小、標準、大から選択し、テキストサイズをカスタマイズ可能です。
・テーブル位置: デジタル時計と市場ステータスのテーブルをチャートのさまざまな場所（左上、中央上、右上、左下、中央下、右下）に配置できます。
市場オープン時のアラート: 市場（東京、ロンドン、ニューヨーク）がオープンするときにアラートを発し、リアルタイムで通知されます。これにより、重要な市場のオープン時間を逃さないようサポートします。
使い方:
セットアップ:
インジケーターを適用: チャートに「Digital Clock with Market Status and Alerts」インジケーターを追加し、タイムゾーン、テキストサイズ、背景色、テーブル位置を好みに応じてカスタマイズします。
市場ステータスを確認: 東京、ロンドン、ニューヨークの市場ステータスをリアルタイムで表示し、オープン/クローズ時間を把握できます。
アラートを受け取る: 市場オープン時のアラート機能により、重要な市場のオープンを見逃さないように通知が届きます。
時間管理:
・リアルタイム時計: 現在の時刻が秒単位で表示され、選択したタイムゾーンに基づいて正確に追跡できます。
・グローバルタイムゾーン: 東京、ニューヨーク、ロンドン、シドニーなど、トレードに関連するタイムゾーンを選択して監視できます。
市場ステータス:
・東京市場: 東京市場が開いていると「Tokyo OPEN」と表示され、閉じている場合は「Tokyo CLOSED」と表示されます。
・ロンドン市場: 同様に、「London OPEN」または「London CLOSED」が表示され、ロンドン市場のステータスを確認できます。
・ニューヨーク市場: ニューヨーク市場も「NY OPEN」または「NY CLOSED」で現在の状況が表示されます。
カスタマイズ:
・テーブル位置の調整: テーブルの位置を簡単に調整し、チャート上の他の要素と重ならないように配置できます。左側の空白セルで位置調整が可能です。
・テキストと背景色のカスタマイズ: テキストと背景の色を自分の好みに合わせて調整できます。また、オープン時とクローズ時の市場ステータスを区別するため、独立した色設定が可能です。
注意事項と免責事項:
・インジケーターの変更: このインジケーターは、予告なく変更や機能の削除が行われる場合があります。
・トレード責任: このインジケーターはトレードをサポートするツールであり、トレードに関する全責任はご自身にあります。利益を保証するものではなく、損失が発生する可能性があります。自分の分析や戦略と組み合わせて使用してください。
Sinc MAKaiser Windowed Sinc Moving Average Indicator
The Kaiser Windowed Sinc Moving Average is an advanced technical indicator that combines the sinc function with the Kaiser window to create a highly customizable finite impulse response (FIR) filter for financial time series analysis.
Sinc Function: The Ideal Low-Pass Filter
At the core of this indicator is the sinc function, which represents the impulse response of an ideal low-pass filter. In signal processing and technical analysis, the sinc function is crucial because it allows for the creation of filters with precise frequency cutoff characteristics. When applied to financial data, this means the ability to separate long-term trends from short-term fluctuations with remarkable accuracy.
The primary advantage of using a sinc-based filter is the independent control over two critical parameters: the cutoff frequency and the number of samples used. The cutoff frequency, analogous to the "length" in traditional moving averages, determines which price movements are considered significant (low frequency) and which are treated as noise (high frequency). By adjusting the cutoff, analysts can fine-tune the filter to respond to specific market cycles or timeframes of interest.
The number of samples used in the filter doesn't affect the cutoff frequency but instead influences the filter's accuracy and steepness. Increasing the sample size results in a better approximation of the ideal low-pass filter, leading to sharper transitions between passed and attenuated frequencies. This allows for more precise trend identification and noise reduction without changing the fundamental frequency response characteristics.
Kaiser Window: Optimizing the Sinc Filter
While the sinc function provides excellent frequency domain characteristics, it has infinite length in the time domain, which is impractical for real-world applications. This is where the Kaiser window comes into play. By applying the Kaiser window to the sinc function, we create a finite-length filter that approximates the ideal response while minimizing unwanted oscillations (known as the Gibbs phenomenon) in the frequency domain.
The Kaiser window introduces an additional parameter, alpha, which controls the trade-off between the main-lobe width and side-lobe levels in the frequency response. This parameter allows users to fine-tune the filter's behavior, balancing between sharp cutoffs and minimal ripple effects.
Customizable Parameters
The Kaiser Windowed Sinc Moving Average offers several key parameters for customization:
Cutoff: Controls the filter's cutoff frequency, determining the divide between trends and noise.
Length: Sets the number of samples used in the FIR filter calculation, affecting the filter's accuracy and computational complexity.
Alpha: Influences the shape of the Kaiser window, allowing for fine-tuning of the filter's frequency response characteristics.
Centered and Non-Centered Modes
The indicator provides two operational modes:
Non-Centered (Real-time) Mode: Uses half of the windowed sinc function, suitable for real-time analysis and current market conditions.
Centered Mode: Utilizes the full windowed sinc function, resulting in a zero-phase filter. This mode introduces a delay but offers the most accurate trend identification for historical analysis.
Visualization Features
To enhance the analytical value of the indicator, several visualization options are included:
Gradient Coloring: Offers a range of color schemes to represent trend direction and strength.
Glow Effect: An optional visual enhancement for improved line visibility.
Background Fill: Highlights the area between the moving average and price, aiding in trend visualization.
Applications in Technical Analysis
The Kaiser Windowed Sinc Moving Average is particularly useful for precise trend identification, cycle analysis, and noise reduction in financial time series. Its ability to create custom low-pass filters with independent control over cutoff and filter accuracy makes it a powerful tool for analyzing various market conditions and timeframes.
Compared to traditional moving averages, this indicator offers superior frequency response characteristics and reduced lag in trend identification when properly tuned. It provides greater flexibility in filter design, allowing analysts to create moving averages tailored to specific trading strategies or market behaviors.
Conclusion
The Kaiser Windowed Sinc Moving Average represents an advanced approach to price smoothing and trend identification in technical analysis. By making the ideal low-pass filter characteristics of the sinc function practically applicable through Kaiser windowing, this indicator provides traders and analysts with a sophisticated tool for examining price trends and cycles.
Its implementation in Pine Script contributes to the TradingView community by making advanced signal processing techniques accessible for experimentation and further development in technical analysis. This indicator serves not only as a practical tool for market analysis but also as an educational resource for those interested in the intersection of signal processing and financial markets.
Related script:
Prometheus Trend LinesPrometheus Trend lines is a tool that automatically plots support and resistance trend lines on your chart. These lines generally come out looking like triangles or wedges.
There are two ways that we do it, the first way we’ll cover is lookback period generated trend lines.
The two points for the lines are generated as follows, for a resistance line that is blue by default, the point furthest in the past is the highest high in the specified lookback period. 50 is the default, the point closest to the present is the current bar’s high. The opposite is true for support lines, the point furthest in the past is the lowest low, and the most present point is the current bar’s low.
The interval is created by ensuring after the lookback period is met to plot the lines, that period needs to pass again. That is so we can let the potential results of price breaking above or below the levels play out.
Lines will be plotted on the newest lookback period bar, after a period with no plot. What I mean is right after lines are plotted, users will have to wait for double the lookback period to get newer lines. So if you select 50 for your lookback value, after new lines are plotted, on the 100th bar after the new lines will be there. This is to avoid having a line on your chart change, we’d rather plot a line once, than plot it and keep changing it.
Each line is 50 bars long and all the distance in between them is 50 bars. The line is drawn simply with the shortest path from the back point to the more present one, this allows us to see breaks in the line and get a better idea of how strong the next move may be.
We see in this wedge on NASDAQ:TSLA that there were two false breaks before the price re-entered the wedge and continued falling. It could be interpreted as buyers did not have enough strength to get NASDAQ:TSLA out of a downtrend there.
We also offer an intra day line.
In this image captured with the bar replay feature we see the lines being generated with the high and low of the day, that is the method we use. Furthermore, a user may notice that the ends of the line are not at the newest bar. That is on purpose, we use the
barstate.islastconfirmedhistory
to ensure that we don’t change and plot too many lines at a given point. These two lines will reset every day as time changes and will auto use the current day high and low.
Users have the option to select a custom lookback period, as well as turn on or off the plots for either method of generating lines.
We encourage traders to not follow indicators blindly, none are 100% accurate. The lines generated are not guaranteed to be perfect support and resistance levels. We encourage the use of discretion. Please comment on any desired updates, all criticism is welcome!
