Currency Futures StatisticsThe "Currency Futures Statistics" indicator provides comprehensive insights into the performance and characteristics of various currency futures. This indicator is crucial for portfolio management as it combines multiple metrics that are instrumental in evaluating currency futures' risk and return profiles.
Metrics Included:
Historical Volatility:
Definition: Historical volatility measures the standard deviation of returns over a specified period, scaled to an annual basis.
Importance: High volatility indicates greater price fluctuations, which translates to higher risk. Investors and portfolio managers use volatility to gauge the stability of a currency future and to make informed decisions about risk management and position sizing (Hull, J. C. (2017). Options, Futures, and Other Derivatives).
Open Interest:
Definition: Open interest represents the total number of outstanding futures contracts that are held by market participants.
Importance: High open interest often signifies liquidity in the market, meaning that entering and exiting positions is less likely to impact the price significantly. It also reflects market sentiment and the degree of participation in the futures market (Black, F., & Scholes, M. (1973). The Pricing of Options and Corporate Liabilities).
Year-over-Year (YoY) Performance:
Definition: YoY performance calculates the percentage change in the futures contract's price compared to the same week from the previous year.
Importance: This metric provides insight into the long-term trend and relative performance of a currency future. Positive YoY performance suggests strengthening trends, while negative values indicate weakening trends (Fama, E. F. (1991). Efficient Capital Markets: II).
200-Day Simple Moving Average (SMA) Position:
Definition: This metric indicates whether the current price of the currency future is above or below its 200-day simple moving average.
Importance: The 200-day SMA is a widely used trend indicator. If the price is above the SMA, it suggests a bullish trend, while being below indicates a bearish trend. This information is vital for trend-following strategies and can help in making buy or sell decisions (Bollinger, J. (2001). Bollinger on Bollinger Bands).
Why These Metrics are Important for Portfolio Management:
Risk Assessment: Historical volatility and open interest provide essential information for assessing the risk associated with currency futures. Understanding the volatility helps in estimating potential price swings, which is crucial for managing risk and setting appropriate stop-loss levels.
Liquidity and Market Participation: Open interest is a critical indicator of market liquidity. Higher open interest usually means tighter bid-ask spreads and better liquidity, which facilitates smoother trading and better execution of trades.
Trend Analysis: YoY performance and the SMA position help in analyzing long-term trends. This analysis is crucial for making strategic investment decisions and adjusting the portfolio based on changing market conditions.
Informed Decision-Making: Combining these metrics allows for a holistic view of the currency futures market. This comprehensive view helps in making informed decisions, balancing risks and returns, and optimizing the portfolio to align with investment goals.
In summary, the "Currency Futures Statistics" indicator equips investors and portfolio managers with valuable data points that are essential for effective risk management, liquidity assessment, trend analysis, and overall portfolio optimization.
Utiliti Pine
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.
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:
Thai Gold 96.5%Gold 96.5% Price Display (Test Version)
This Pine Script indicator is a test version designed to display the current price of Thai gold (96.5%) in a customizable table on your TradingView chart. The script calculates the gold price using the latest values for XAU/USD and USD/THB, reflecting the price of gold in Thai Baht (THB) with a purity adjustment.
Features:
- Price Calculation: Computes the Thai gold price by multiplying the XAU/USD price with USD/THB and adjusting for gold purity (0.49 * 0.965).
- Customizable Display: Adjust text size, text color, background color, and table position (Top Right, Top Left, Bottom Right, Bottom Left).
- Formatted Output: Gold price is formatted with commas for better readability.
Inputs:
- Text Size: Choose from tiny, small, normal, large, or huge.
- Text Color: Customize the text color.
- Background Color: Select a background color for the table.
- Table Position: Choose the table position on the chart.
Usage:
Add this test script to your TradingView chart to see the current Thai gold price displayed in a table format. This version is for testing purposes and may be updated based on feedback.
Feel free to test and customize the script further!
Kaiser Window MAKaiser Window Moving Average Indicator
The Kaiser Window Moving Average is a technical indicator that implements the Kaiser window function in the context of a moving average. This indicator serves as an example of applying the Kaiser window and the modified Bessel function of the first kind in technical analysis, providing an open-source implementation of these functions in the TradingView Pine Script ecosystem.
Key Components
Kaiser Window Implementation
This indicator incorporates the Kaiser window, a parameterized window function with certain frequency response characteristics. By making this implementation available in Pine Script, it allows for exploration and experimentation with the Kaiser window in the context of financial time series analysis.
Modified Bessel Function of the First Kind
The indicator includes an implementation of the modified Bessel function of the first kind, which is integral to the Kaiser window calculation. This mathematical function is now accessible within TradingView, potentially useful for other custom indicators or studies.
Customizable Alpha Parameter
The indicator features an adjustable alpha parameter, which directly influences the shape of the Kaiser window. This parameter allows for experimentation with the indicator's behavior:
Lower alpha values: The indicator's behavior approaches that of a Simple Moving Average (SMA)
Moderate alpha values: The behavior becomes more similar to a Weighted Moving Average (WMA)
Higher alpha values: Increases the weight of more recent data points
In signal processing terms, the alpha parameter affects the trade-off between main-lobe width and side lobe level in the frequency domain.
Centered and Non-Centered Modes
The indicator offers two operational modes:
Non-Centered (Real-time) Mode: Uses half of the Kaiser window, starting from the peak. This mode operates similarly to traditional moving averages, suitable for real-time analysis.
Centered Mode: Utilizes the full Kaiser window, resulting in a phase-correct filter. This mode introduces a delay equal to half the window size, with the plot automatically offset to align with the correct time points.
Visualization Options
The indicator includes several visualization features to aid in analysis:
Gradient Coloring: Offers three gradient options:
• Three-color gradient: Includes a neutral color
• Two-color gradient: Traditional up/down color scheme
• Solid color: For a uniform appearance
Glow Effect: An optional visual enhancement for the moving average line.
Background Fill: An option to fill the area between the moving average and the price.
Use Cases
The Kaiser Window Moving Average can be applied similarly to other moving averages. Its primary value lies in providing an example implementation of the Kaiser window and modified Bessel function in TradingView. It serves as a starting point for traders and analysts interested in exploring these mathematical concepts in the context of technical analysis.
Conclusion
The Kaiser Window Moving Average indicator demonstrates the application of the Kaiser window function in a moving average calculation. By providing open-source implementations of the Kaiser window and the modified Bessel function of the first kind, this indicator contributes to the expansion of available mathematical tools in the TradingView Pine Script environment, potentially facilitating further experimentation and development in technical analysis.
Fisher Divergence Overlay [BackQuant]Fisher Divergence Overlay
You can find the other Fisher Script Here !
Overlay Adaptation The Fisher Divergence Overlay is a newly enhanced version of the original Fisher Transformation indicator, designed specifically to be plotted directly on price charts. This adaptation allows traders to visualize Fisher Transform signals, divergences, and trend shifts directly over the price action, offering a more intuitive way to monitor market trends and potential reversals without the need for separate indicator windows. The overlay structure is particularly useful for spotting divergences and shifts in momentum as they relate to key price levels.
Why Turn the Fisher into an Overlay?
By transforming the Fisher Divergence indicator into an overlay, traders gain a more direct view of the relationship between price movements and the Fisher Transformation's signals. Divergences and midline crossovers, key components of the Fisher strategy, can now be clearly seen relative to the current price action. The decision to integrate this functionality as an overlay allows for a cleaner and more insightful trading experience, helping traders make quicker, more informed decisions based on market dynamics.
Midline Cross Signals : The overlay makes it easy to see when the Fisher Transform crosses above or below the midline, a critical signal for potential trend reversals.
Divergence Signals : Both regular and hidden divergences are plotted directly over price bars, offering immediate visual confirmation of potential trend shifts.
Key Features of the Overlay Version
Kaufman Adaptive Moving Average (KAMA): The Fisher Transformation in this overlay version can be adapted using Kaufman’s Adaptive Moving Average (KAMA). This enhances the Fisher's responsiveness to current market volatility, smoothing out price data while maintaining the accuracy of trend signals.
Divergence Detection: The overlay includes both regular and hidden bullish and bearish divergence detection, with these divergences plotted directly on the price chart. This visual feedback makes it easier for traders to spot when the momentum of the Fisher Transform deviates from the actual price movement, often signaling potential reversals.
Dynamic Bar Coloring: The bars are color-coded based on either the Fisher trend or divergences, allowing traders to visually interpret market sentiment without additional analysis. Green bars signal an upward trend or bullish divergence, while red bars indicate a downward trend or bearish divergence.
Take Profit Hues: In conjunction with a normalized RSI, the overlay includes background hues for overbought and oversold conditions, providing additional context for exit points or potential reversals.
How to Use the Fisher Overlay Traders can use this overlay to streamline their workflow by having both the Fisher signals and price action in the same visual space. The key signals include:
Midline Cross Signals: A crossover of the Fisher Transform above the midline often indicates a shift toward bullish momentum, while a cross below suggests bearish momentum.
Divergences: Regular and hidden divergences, displayed directly on the chart, help traders identify moments when the momentum of the Fisher Transform is in contrast with price movements, signaling potential reversals.
RSI Confluence: Overbought and oversold signals, provided by the integrated RSI, give further insight into potential exhaustion points in the market, marked by background color changes on the chart.
Strategic Value of the Fisher Divergence Overlay
This overlay offers a streamlined, efficient way to interpret Fisher Transform signals, divergences, and confluence signals like RSI in real-time. The visual integration of these signals with price action enhances decision-making by providing immediate context, making it easier to spot high-probability trade setups.
Trend Confirmation: The overlay version helps confirm trends by visually aligning Fisher Transform signals with price levels. Traders can use this feature to strengthen their conviction before entering or exiting a trade.
Adaptability: With the option to use KAMA for adaptive price smoothing, this overlay remains responsive across different market environments, making it suitable for both trending and volatile markets.
Summary and Interpretation Tips
It enhances the traditional Fisher Transform with visual elements like divergence detection, RSI confluence, and midline cross signals. By overlaying these elements directly on the price chart, traders can quickly interpret key signals and make better trading decisions.
Use this indicator to identify trend shifts and potential reversals by focusing on midline crossovers and divergences. The visual cues—bar colors, divergence labels, and background hues—make it easy to spot actionable moments without cluttering the chart. For best results, combine this overlay with other trend-following tools to confirm your trades and maximize the utility of Fisher Transform signals.
Matrix Glitch | FractalystThe Matrix Glitch indicator is a visually engaging tool for traders, inspired by the iconic Matrix movie effects. It overlays price charts with dynamic, multi-colored glitches that sync with market data, creating a striking, almost surreal visual experience.
The indicator uses characters from various languages (e.g., Japanese, Chinese, Russian, English) to mimic the digital rain effect from the movies. Users can select a language, which activates a corresponding array of characters. These characters are randomly picked from the chosen array and displayed on the chart.
Underlying Calculations and Logic
Arrays in the Indicator
1- Character Management:
The script uses arrays to store sets of characters representing different symbols or alphabets. These arrays allow the indicator to dynamically select and update characters for display. Each element in these arrays corresponds to a specific character that will be used to populate the grid.
2- Current and Previous States:
Arrays are employed to keep track of the current state of characters that are displayed on the grid. Simultaneously, another set of arrays records the previous state of these characters. This dual-state management allows the script to smoothly transition between updates, handling changes in characters and visual effects like fading.
3- Transparency Control:
Transparency levels for each character in the grid are managed through arrays. These arrays store the opacity values, ensuring that each character has the appropriate level of transparency. By comparing the current and previous transparency states, the script can create effects like gradual fading or intensifying visibility.
4- Rain Effect Simulation:
To create the "rain" effect, the script maintains arrays that simulate the falling text by continuously updating the position and visibility of characters. As new characters enter the top of the grid, older ones are removed from the bottom, with their transparency levels adjusted to simulate movement.
5- Operational Flow:
Initialization : Arrays are initialized to manage both the characters and their transparency. This setup allows the script to handle the dynamic display efficiently.
Updates : During each cycle, new characters are selected and old characters are shifted accordingly. The arrays ensure that both the content and appearance of the grid are updated seamlessly.
Rendering : The arrays dictate how characters and their transparency are rendered on the grid, ensuring a cohesive and visually appealing effect.
Here's how to use the indicator step-by-step:
1- Apply the Indicator to Your Charts:
Begin by adding the indicator to your chart. This will activate the visual effect on your selected trading instrument or time frame.
Select Your Preferred Language of the Matrix Characters:
In the settings, choose the language or symbol set you want the matrix characters to display. This could be anything from traditional matrix-style characters to different alphabets or custom symbols.
2- Choose the Matrix Effect (Rain, Burst):
Decide on the type of visual effect you prefer. You can select from options like the classic "rain" effect, where characters fall from the top of the screen, or a "burst" effect, where characters explode outward or appear in a different dynamic pattern.
3- Adjust the Color According to Your Preference:
Customize the color of the matrix characters to suit your aesthetic or chart theme. You can select from a range of colors or even set up a gradient for more complex visual effects.
4- Adjust the Width and Height of the Matrix According to Your Screen:
Fine-tune the dimensions of the matrix display. Set the width and height so that the matrix fits perfectly on your screen, ensuring that it aligns well with other chart elements and doesn't obstruct your view.
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What Makes the Matrix Glitch Indicator Unique?
Language Selection:
Customizable Language: Unlike many indicators that might offer static or limited visual elements, the Matrix Glitch Indicator allows users to choose from a variety of languages for the characters displayed. This feature not only personalizes the user experience but also adds a cultural or linguistic element to trading charts. Users can select languages like Japanese, Chinese, Russian, or English, and many more.
This flexibility ensures that traders from different backgrounds can feel a connection with their charts through familiar or exotic scripts.
Dynamic Effects:
Effect Modes: The indicator offers two distinct modes - Rain Mode and Burst Mode. In Rain Mode, characters fall from the top of the chart, mimicking the iconic digital rain from the Matrix films.
In Burst Mode, characters radiate outward from a central point, creating a unique visual effect that can be synchronized with market volatility.
This dual-mode functionality allows traders to choose how they want their data to be visually represented, providing both aesthetic variety and potentially different insights into market behavior.
Color Customization:
Full Color Control: The ability to fully customize the color of the characters is a standout feature. Traders can match the indicator's colors to their trading platform's theme, their mood, or even specific market conditions (e.g., red for downturns, green for upturns). This level of customization not only aids in creating a personalized trading environment but can also serve as a visual cue for different market states.
Universal Display Compatibility:
Adjustability for All Displays: The indicator is designed to be fully adjustable for various screen resolutions and sizes. This ensures that whether you're trading on a high-resolution monitor, a laptop, or even a mobile device, the Matrix Glitch effect remains clear and impactful without compromising on the functionality of the trading chart. This adaptability is crucial in an era where trading can happen anywhere, making the indicator a versatile tool for traders on the go or in a static setup.
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Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Break of High/Low with Volume, MACD, and MAsHow It Works:
Sessions:
The London session is defined between 8:00 and 16:00 UTC.
The New York session is defined between 13:00 and 21:00 UTC.
Previous High/Low:
The script identifies the highest high and lowest low from the previous bar using ta.highest(high, 1) and ta.lowest(low, 1) .
Candle Body Size:
The script calculates the size of the current candle's body and checks if it is at least double the size of the previous candle's body.
Volume Check:
A high volume threshold is set as 1.5 times the 50-period SMA of the volume.
MACD Crossover:
The script calculates the MACD and its signal line and checks for bullish (buy) or bearish (sell) crossovers.
Signals:
A long signal (buy) is generated if the price breaks the previous high with a large body candle, high volume, and a bullish MACD crossover during the specified sessions.
A short signal (sell) is generated if the price breaks the previous low with a large body candle, high volume, and a bearish MACD crossover during the specified sessions.
Plotting:
The 50-period and 200-period moving averages, previous high, and previous low are plotted on the chart.
If a long condition is met, a "BUY" label is displayed below the bar. If a short condition is met, a "SELL" label is displayed above the bar.
Alerts:
Alerts are triggered whenever the conditions for a long or short trade are met.
Customization:
Feel free to adjust the session times, volume threshold, MACD settings, or moving averages based on your trading strategy or the specific asset you are trading.
Asset Overlay with Lag [CubeT]Asset Overlay with Lag
This indicator allows you to overlay a secondary asset on your main chart with a customizable lag. It's perfect for traders who want to analyze the relationship between the current asset and another asset with a time-shifted perspective. The secondary asset’s price data can be lagged by any number of bars, helping you spot leading or lagging behaviors between assets.
Features:
Overlay a secondary asset on your current chart.
Adjust the lag of the secondary asset to visually compare time-shifted movements.
Easily customize the lag amount directly within the settings.
How to Use:
Add the Indicator: Apply the indicator to your chart in TradingView.
Select the Secondary Asset: Choose the asset you wish to overlay (e.g., "BTC") from the indicator settings.
Set the Lag: Adjust the lag amount in bars (e.g., 7 bars for a 1-week lag on a daily chart).
Adjust Price Scale (Right-click on plotted secondary asset line > Select "Pin to scale" and choose "Pin to new left scale" to separate the scales for clearer comparison.
Fibonacci Retracements & Trend Following Strategy V2This Pine Script strategy generates trading signals using Fibonacci levels and trend-following indicators.
1. Strategy Summary
This strategy analyzes price movements using a combination of Fibonacci levels and trend-following indicators, providing potential trading signals. The strategy includes Fibonacci levels as well as EMA (Exponential Moving Average) and ADX (Average Directional Index) indicators.
2. Indicators and Parameters
Fibonacci Levels
Fibonacci Level 1, Level 2, Level 3, Level 4: Used as Fibonacci retracement levels. These levels are typically set at 0.236, 0.382, 0.618, and 0.786. Users can adjust these values according to their preferences.
Trend-Following Indicator
Trend Length: The period for calculating the EMA used as the trend-following indicator. For example, if set to 20, the EMA will be calculated over 20 periods.
ADX (Average Directional Index)
ADX Length: The period for calculating the ADX. ADX measures the strength of the price trend and is usually set to 14 periods.
ADX Threshold: A threshold value for the ADX. This value determines when trading signals will be activated.
3. Usage Steps
Displaying the Indicator on the Chart:
On the TradingView platform, paste the code into the Pine Editor and click the "Add to Chart" button to add it to the chart.
Analyzing the Indicators:
Fibonacci Levels: Show retracement levels of price movements. When the price reaches one of these levels, potential reversals may occur.
Trend-Following Indicator: EMAs determine the direction of the trend. Green EMA represents an uptrend, while red EMA represents a downtrend.
ADX: Measures the strength of the trend. When ADX surpasses the threshold value, it indicates a strong trend.
Trading Signals:
Long Signal: Generated when the price is above the second Fibonacci level and the trend is upward. Additionally, the ADX value must be above the set threshold.
Short Signal: Generated when the price is below the second Fibonacci level and the trend is downward. Additionally, the ADX value must be above the set threshold.
Target Prices:
Long Targets: Determines upward targets based on Fibonacci levels. These targets indicate expected prices if the price reverses from Fibonacci levels.
Short Targets: Determines downward targets based on Fibonacci levels. These targets indicate expected prices if the price reverses from Fibonacci levels.
4. Chart Displays
Trend Up (Green Line): Shows the rising EMA.
Trend Down (Red Line): Shows the falling EMA.
Fibonacci Levels (Blue Lines): Shows Fibonacci retracement levels.
Long Targets (Green Circles): Shows targets for long positions.
Short Targets (Red Circles): Shows targets for short positions.
Long Signal (Green Label): Buy signal.
Short Signal (Red Label): Sell signal.
5. Important Notes
Retracement and Target Levels: Fibonacci levels can act as potential retracement or support/resistance levels. However, they should always be used in conjunction with other technical analysis tools.
Trend and ADX: ADX is used to determine the strength of the trend. Be aware that when ADX is low, trends may be weak.
6. Example Scenarios
Example 1: If the trend is upward (green EMA) and the price is above the second Fibonacci level, you may receive a long position signal. If the ADX value is above the threshold, the signal may be stronger.
Example 2: If the trend is downward (red EMA) and the price is below the second Fibonacci level, you may receive a short position signal. If the ADX value is above the threshold, the signal may be stronger.
This updated version contains significant improvements in both technical aspects and user experience. Innovations such as ADX calculations and dynamic Fibonacci levels make the strategy more robust and flexible. The code's readability and comprehensibility have been enhanced, and errors have been corrected.
This guide will help you understand the basic operation of the strategy. It is always recommended to conduct your own research and test the strategy before using it.
GOOD LUCK. // halilvarol
Relationship Exchange Rate and Inflation in UruguayThis Pine Script indicator, titled "Relationship Between Exchange Rate and Monthly Inflation in Uruguay," is designed to analyze the interaction between the exchange rate of the Uruguayan Peso (UYU) against the US Dollar (USD) and the monthly inflation rate in Uruguay.
Data Retrieval:
The script fetches the monthly exchange rate data for UYU/USD.
It also retrieves the Consumer Price Index (CPI) data for Uruguay.
Monthly Inflation Calculation:
The script calculates the monthly inflation rate using the CPI data by determining the percentage change from the previous month.
Formula Calculation:
A specific formula is calculated by dividing the inverse of the exchange rate by the monthly inflation rate.
Conditional Coloring:
The resulting value is plotted on the chart with a conditional color: green if the exchange rate is greater than the inflation rate, otherwise red.
This indicator provides a visual representation of how the exchange rate compares to the inflation rate, helping traders and analysts understand the economic dynamics between currency value and inflation in Uruguay.
World Clock [VHX]Keeping track of local times across different time zones has always been a challenge, especially when working with global markets.
But worry no more, as we now have a solution tailored for this very need. With this indicator, you can effortlessly add two different time zones to your chart, making it easier than ever to stay on top of market activity. The indicator not only shows the current date and time for the selected time zones but also integrates seamlessly with your chart, ensuring that you’re always aligned with the right market timings, no matter where you or your trades are based.
Unfortunately, the clock won't function when the market is closed.
Volatility Projection Levels (VPL)### Indicator Name: **Volatility Projection Levels (VPL)**
### Description:
The **Volatility Projection Levels (VPL)** indicator is a powerful tool designed to help traders anticipate key support and resistance levels for the E-mini S&P 500 (ES) by leveraging the CBOE Volatility Index (^VIX). This indicator utilizes historical volatility data to project potential price movements for the upcoming month, offering clear visual cues that enhance swing trading strategies.
### Key Features:
- **Volatility-Based Projections**: The VPL indicator uses the previous month’s closing value of the VIX, normalizing it for monthly analysis by dividing by the square root of 12. This calculated percentage is then applied to the E-mini S&P 500’s closing price from the last day of the previous month.
- **Upper and Lower Projection Levels**: The indicator calculates two essential levels:
- **Upper Projection Level**: The previous month’s closing price of the E-mini S&P 500 plus the calculated volatility percentage.
- **Lower Projection Level**: The previous month’s closing price of the E-mini S&P 500 minus the calculated volatility percentage.
- **Continuous Visualization**: The VPL indicator plots these projection levels on the chart throughout the entire month, providing traders with a consistent reference for potential support and resistance zones. This continuous visualization allows for better anticipation of market movements.
- **Previous Month's Close Reference**: Additionally, the indicator plots the previous month’s closing price as a reference point, offering further context for current price action.
### Use Cases:
- **Swing Trading**: The VPL indicator is ideal for swing traders looking to exploit predicted price ranges within a monthly timeframe.
- **Support & Resistance Identification**: It aids traders in identifying critical levels where the market may encounter support or resistance, thus informing entry and exit decisions.
- **Risk Management**: By forecasting potential price levels, traders can set more strategic stop-loss and take-profit levels, enhancing risk management.
### Summary:
The **Volatility Projection Levels (VPL)** indicator equips traders with a forward-looking tool that incorporates volatility data into market analysis. By projecting key price levels based on historical VIX data, the VPL indicator enhances decision-making, helping traders anticipate market movements and optimize their trading strategies.
Made by Serpenttrading
Raj - Mark Minervini Stage 2 with RSTitle: Mark Minervini Stage 2 Screener with Custom RS
Description:
This script is designed to identify stocks that meet the criteria for Mark Minervini's Stage 2 trend setup, incorporating custom relative strength (RS) ranking.
Key Features:
Moving Averages: Tracks the 50-day, 150-day, and 200-day Simple Moving Averages (SMA) to identify trend alignment.
Price Conditions: Ensures the stock price is above key moving averages, is within 25% of its 52-week high, and is at least 25% above its 52-week low.
Custom Relative Strength (RS): Compares the stock's performance against a benchmark (e.g., S&P 500) to ensure it has a strong relative strength. The RS is normalized on a 0-100 scale, and only stocks with an RS above 70 are highlighted.
Visual Indicators: The script plots moving averages on the chart and labels points where all conditions for the Stage 2 setup are met.
Usage:
Apply this script to your charts to find stocks that are in a strong uptrend and meet Mark Minervini's Stage 2 criteria.
Customize the benchmark symbol for the RS calculation to fit your market or preference
RSI - ARIEIVhe RSI MAPPING - ARIEIV is a powerful technical indicator based on the Relative Strength Index (RSI) combined with moving averages and divergence detection. This indicator is designed to provide a clear view of overbought and oversold conditions, as well as identifying potential reversals and signals for market entries and exits.
Key Features:
Customizable RSI:
The indicator offers flexibility in adjusting the RSI length and data source (closing price, open price, etc.).
The overbought and oversold lines can be customized, allowing the RSI to signal critical market zones according to the trader’s strategy.
RSI-Based Moving Averages (MA):
Users can enable a moving average based on the RSI with support for multiple types such as SMA, EMA, WMA, VWMA, and SMMA (RMA).
For those who prefer Bollinger Bands, there’s an option to use the moving average with standard deviation to detect market volatility.
Divergence Detection:
Detects both regular and hidden divergences (bullish and bearish) between price and RSI, which can indicate potential market reversals.
These divergences can be customized with specific colors for easy identification on the chart, allowing traders to quickly spot significant market shifts.
Zone Mapping:
The script maps zones of buying and selling strength, filling the areas between the overbought and oversold levels with specific colors, highlighting when the market is in extreme conditions.
Strength Tables:
At the end of each session, a table appears on the right side of the chart, displaying the "Buying Strength" and "Selling Strength" based on calculated RSI levels. This allows for quick analysis of the dominant pressure in the market.
Flexible Settings:
Many customization options are available, from adjusting the number of decimal places to the choice of colors and the ability to toggle elements on or off within the chart.
Maximum Bar Range in TicksThis is a simple indicator that gives the maximum range of any bar on the chart in ticks. I found it useful when sizing arrays and it might also be valuable when working out risk parameters.
Total Bars CalculatorThis indicator simply plots how much bars are available to the user in the respective chart.
For Example if plot shows 5000 , therefore you have total 5000 bars of OHLC available.
Custom Text DisplayThe "Custom Text Display" indicator allows users to display customizable text in a fixed position in the bottom-right corner of their chart. Each text entry can have its own color, which can be set in the indicator's settings. Follow these steps to set up and use the indicator effectively:
Adding the Indicator to Your Chart:
Apply the "Custom Text Display" indicator to your chart from the indicators list.
Configuring Text and Colors:
Open the settings for the indicator.
Enter the desired text for each of the five text fields labeled "Text 1", "Text 2", etc.
Choose a color for each text entry using the color pickers labeled "Color 1", "Color 2", etc.
Selecting the Active Text:
In the indicator settings, find the "Select Active Text" dropdown menu.
This menu offers six options: "0" (None), "1" (Text 1), "2" (Text 2), "3" (Text 3), "4" (Text 4), and "5" (Text 5).
Select the number corresponding to the text you want to activate. Only one text can be active at a time.
Viewing the Active Text on the Chart:
The selected active text will be displayed in the bottom-right corner of the chart with the corresponding background color.
If no text is selected (option "0"), no text will be displayed.
Optimized Bullish and Bearish Structure IndicatorThis Pine Script indicator is designed to identify specific bullish and bearish structures on a price chart based on user-defined conditions. The indicator highlights buy and sell signals and allows customization through input checkboxes to include or exclude additional conditions for generating these signals.
Key Features:
User Input Checkboxes:
Use Additional Buy Condition: Enables or disables an extra condition for buy signals.
Use Additional Sell Condition: Enables or disables an extra condition for sell signals.
Bullish Structure (Case 01):
The closing price of the candle 2 bars ago is greater than the closing price of the candle 1 bar ago.
The current candle's closing price is greater than the opening price of the candle 1 bar ago.
Additional Buy Condition: The closing price of the candle 2 bars ago is less than the closing price of the candle 1 bar ago.
Bearish Structure (Case 01):
The closing price of the candle 1 bar ago is greater than the closing price of the candle 2 bars ago.
The current candle's closing price is less than the opening price of the candle 1 bar ago.
Additional Sell Condition: The closing price of the candle 1 bar ago is less than the closing price of the candle 2 bars ago.
Signal Tracking:
The script tracks whether it is currently in a long (buy) or short (sell) state to avoid consecutive identical signals.
Only one buy signal is allowed until a sell signal is generated, and vice versa.
Plotting Signals:
Buy signals are plotted as green labels below the bar.
Sell signals are plotted as red labels above the bar.
Background colors are used to highlight bars where signals are generated:
Green for buy signals.
Red for sell signals.
Previous Candle Plotting:
Signals are plotted on the previous candle to clearly indicate where the signal conditions were met.
Script Usage:
Overlay:
The indicator is plotted directly on the price chart (overlay=true).
User Inputs:
Users can toggle the additional conditions for buy and sell signals through the checkboxes provided in the input settings.
Customization:
The indicator can be customized further to suit different trading strategies or market conditions by modifying the conditions and input parameters.
Example Usage:
Add the indicator to your TradingView chart.
Use the input checkboxes to include or exclude additional conditions for buy and sell signals.
Observe the plotted signals and background highlights to identify potential buy and sell opportunities based on the defined conditions.
This indicator provides a flexible tool for traders to identify specific bullish and bearish market structures and helps in making informed trading decisions.
Large Shadow Detector V.1Large Shadow Detector for TradingView
This Pine Script indicator highlights candles with shadows (wicks) exceeding a customizable threshold in points on the XAU/USD chart, specifically for the 1-hour timeframe.
Key Features:
Customizable Shadow Threshold: An input field allows users to set the threshold for detecting large shadows. The default is set to 3400 points.
Upper and Lower Shadows Calculation: The script calculates the upper and lower shadows of each candle.
Condition Checks: It checks if the shadows exceed the defined threshold.
Visual Indicators: Red triangles are plotted above candles with large upper shadows, and green triangles are plotted below candles with large lower shadows.
BB Position CalculatorPosition Size Calculator Instructions
Overview
The Position Size Calculator is designed to help traders automatically determine the appropriate lot size based on the dollar amount they are willing to risk. It includes features for automatic lot sizing, fixed lot risk calculations, take profit calculations (both automatic and fixed), max run-up, and max drawdown. Calculated values are displayed in ticks, points, and USD.
Key Features
• Automatic Lot Sizing: Automatically calculates lot size based on the amount of money you are willing to risk.
• Fixed Lot Risk Calculations: Provides risk calculations for fixed lot sizes.
• Take Profit Calculations: Offers both automatic and fixed take profit calculations.
• Max Run-Up and Max Drawdown: Monitors and displays the maximum run-up and drawdown of your trade.
• Detailed Metrics: Displays all calculated values in ticks, points, and USD.
Setup Instructions
1. Add and Remove for Each Position: The calculator is designed to be added to your chart for each new position. Once your preferences are set the first time, save them as your default to retain your settings for future use.
2. Adding the Indicator to Favorites:
• Use the TradingView keyboard shortcut “/” then type “pos.”
• Use the arrow key to select the Position Size Calculator and press enter.
• Close the indicator selection pop-up.
3. Setting the Trigger Price:
• A blue pop-up labeled “SET TRIGGER PRICE” will appear at the bottom of the chart.
• Click on the chart at the price level where you want to enter the trade.
4. Setting the Stop Loss:
• The pop-up will change to “SET STOP LOSS.”
• Click on the chart at the price level where your stop loss will be set.
5. Setting the Take Profit:
• The pop-up will change to “SET TAKE PROFIT.”
• Click on the chart at the price level where you want to take profit. If you have selected the option to overwrite with a set risk/reward ratio (R:R), the calculation will use this price level.
6. Setting the Trade Window Start:
• The pop-up will change to “SET TRADE WINDOW START.”
• Click on the bar in time where you want the indicator to start monitoring for price to trigger the position.
7. Adjusting the Position:
• Clicking on any part of the indicator will display draggable lines, allowing you to fine-tune the position that was previously plotted by the first four chart clicks.
Additional Notes
• Compatibility: This calculator has only been tested with futures trading.
• Customization: Once your preferences are set, save them as your default to make setup quicker for future trades.
• Support: If you have any questions or feature requests, please feel free to reach out.
1000SATS and ORDI Market Cap RatioSure! Here is a detailed description and usage guide for your TradingView indicator:
### Indicator Description
**Title**: 1000SATS/ORDI Market Cap Ratio
**Description**: The "1000SATS/ORDI Market Cap Ratio" indicator calculates and visualizes the market capitalization ratio between 1000SATS and ORDI. This indicator allows traders and investors to analyze the relative market strength and valuation trends of 1000SATS compared to ORDI over time. By tracking this ratio, users can gain insights into market dynamics and potential trading opportunities between these two assets.
### Indicator Usage
**Purpose**:
- To compare the market capitalizations of 1000SATS and ORDI.
- To identify potential undervaluation or overvaluation of 1000SATS relative to ORDI.
- To assist in making informed trading and investment decisions based on market cap trends.
**How to Use**:
1. **Add the Indicator to Your Chart**:
- Open TradingView and navigate to your chart.
- Click on the "Indicators" button at the top of the chart.
- Select "Pine Editor" and paste the provided script.
- Click "Add to Chart" to apply the indicator.
2. **Interpret the Ratio**:
- The indicator will plot a line representing the ratio of the market capitalization of 1000SATS to ORDI.
- A rising ratio indicates that the market cap of 1000SATS is increasing relative to ORDI, suggesting stronger market performance or higher valuation of 1000SATS.
- A falling ratio indicates that the market cap of 1000SATS is decreasing relative to ORDI, suggesting weaker market performance or lower valuation of 1000SATS.
3. **Analyze Trends**:
- Use the indicator to spot trends and potential reversal points in the market cap ratio.
- Combine the ratio analysis with other technical indicators and chart patterns to enhance your trading strategy.
4. **Set Alerts**:
- Set custom alerts on the ratio to notify you of significant changes or specific thresholds being reached, enabling timely decision-making.
**Example**:
- If the ratio is consistently rising, it may indicate a good opportunity to consider 1000SATS as a stronger investment relative to ORDI.
- Conversely, if the ratio is falling, it may be a signal to reevaluate the strength of 1000SATS compared to ORDI.
**Note**: Always conduct thorough analysis and consider other market factors before making trading decisions based on this indicator.
### Script
```pinescript
//@version=4
study("1000SATS and ORDI Market Cap Ratio", shorttitle="1000SATS/ORDI Ratio", overlay=true)
// Define the circulating supply for ORDI and 1000SATS
ORDI_supply = 21000000 // Circulating supply of ORDI
SATS_1000_supply = 2100000000000 // Circulating supply of 1000SATS
// Fetch the price data for ORDI
ordi_price = security("BINANCE:ORDIUSDT", timeframe.period, close)
// Fetch the price data for 1000SATS
sats_1000_price = security("BINANCE:1000SATSUSDT", timeframe.period, close)
// Calculate the market capitalizations
ordi_market_cap = ordi_price * ORDI_supply
sats_1000_market_cap = sats_1000_price * SATS_1000_supply
// Calculate the market cap ratio
ratio = sats_1000_market_cap / ordi_market_cap
// Plot the ratio
plot(ratio, title="1000SATS/ORDI Market Cap Ratio", color=color.blue, linewidth=2)
```
This description and usage guide should help users understand the purpose and functionality of your indicator, as well as how to effectively apply it in their trading activities on TradingView.
Biquad Low Pass FilterThis indicator utilizes a biquad low pass filter to smooth out price data, helping traders identify trends and reduce noise in their analysis.
The Length parameter acts as the length of the moving average, determining the smoothness and responsiveness of the filter. Adjusting this parameter changes how quickly the filter reacts to price changes.
The Q Factor controls the sharpness of the filter. A higher Q value results in a narrower frequency band, enhancing the precision of the filter. However, be cautious when setting the Q factor too high, as it can induce resonance, amplifying certain frequencies and potentially making the filter less effective by introducing noise.
Key Features of Biquad Filters
Biquad filters are a type of digital filter that provides a combination of low-pass, high-pass, band-pass, and notch filtering capabilities. In this implementation, the biquad filter is configured as a low pass filter, which allows low-frequency signals to pass while attenuating higher-frequency noise. This is particularly useful in trading to smooth out price data, making it easier to spot underlying trends and patterns.
Biquad filters are known for their smooth response and minimal phase distortion, making them ideal for technical analysis. The customizable length and Q factor allow for flexible adaptation to different trading strategies and market conditions. Designed for real-time charting, the biquad filter operates efficiently without significant lag, ensuring timely analysis.
By incorporating this biquad low pass filter into your trading toolkit, you can enhance your chart analysis with clearer insights into price movements, leading to more informed trading decisions.
