Volume Based Volatility Trail [UAlgo]"Volume Based Volatility Trail ", is designed to identify potential trading opportunities based on volatility and volume analysis. It calculates the Average True Range (ATR) to gauge market volatility and uses a volume-based multiplier to dynamically adjust a trailing stop level. The indicator also incorporates volume analysis to identify high volume periods that might signal potential breakouts.
🔶 Key Features
Volume-Based Volatility Trail: The indicator calculates a trailing stop level based on the ATR, which is then adjusted based on volume. Higher volume periods can lead to a wider trailing stop to account for increased volatility.
Price Source: Users can select the price source (e.g., close, open) for volume calculations.
Customizable Inputs: Users can adjust various parameters like the ATR period, multiplier, smoothing period, volume SMA period, ATR adjustment factor, and colors for buy/sell signals and the trailing stop area.
Buy/Sell Alerts: The indicator generates alerts for potential buy and sell opportunities based on the trailing stop crossing the price.
🔶 Usage
Look for buy signals (▲ marker) when the price crosses above the trailing stop level, potentially indicating a bullish trend.
Conversely, sell signals (▼ marker) appear when the price falls below the trailing stop, suggesting a bearish trend.
The shaded area around the trailing stop represents a buffer zone that might offer some protection against price fluctuations, but it can also indicate areas of potential pullbacks. During volatile periods or after strong price movements, the price might retrace back towards the trailing stop before continuing its trend. This shaded area can help visualize these potential retracement zones.
High volume periods (highlighted by the indicator) can be used in conjunction with other technical analysis to confirm potential breakouts. Analyze these high volume periods alongside price action and other indicators to assess the strength of the breakout and the likelihood of the price continuing its upward move.
🔶 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.
Reversal
Momentum & Squeeze Oscillator [UAlgo]The Momentum & Squeeze Oscillator is a technical analysis tool designed to help traders identify shifts in market momentum and potential squeeze conditions. This oscillator combines multiple timeframes and periods to provide a detailed view of market dynamics. It enhances the decision-making process for both short-term and long-term traders by visualizing momentum with customizable colors and alerts.
🔶 Key Features
Custom Timeframe Selection: Allows users to select a custom timeframe for oscillator calculations, providing flexibility in analyzing different market periods.
Recalculation Option: Enables or disables the recalculation of the indicator, offering more control over real-time data processing.
Squeeze Background Visualization: Highlights potential squeeze conditions with a background color, helping traders quickly spot consolidation periods.
Adjustable Squeeze Sensitivity: Users can modify the sensitivity of the squeeze detection, tailoring the indicator to their specific trading style and market conditions.
Bar Coloring Condition: Option to color the price bars based on momentum conditions, enhancing the visual representation of market trends.
Threshold Bands: Option to fill threshold bands for a clearer visualization of overbought and oversold levels.
Reference Lines: Display reference lines for overbought, oversold, and mid-levels, aiding in quick assessment of momentum extremes.
Multiple Output Modes: Offers different output visualization modes, including:
ALL: Displays all calculated momentum values (fast, medium, slow).
AVG: Shows the average momentum, providing a consolidated view.
STD: Displays the standard deviation of momentum, useful for understanding volatility.
Alerts: Configurable alerts for key momentum events such as crossovers and squeeze conditions, keeping traders informed of important market changes.
🔶 Usage
The Momentum & Squeeze Oscillator can be used for various trading purposes:
Trend Identification: Use the oscillator to determine the direction and strength of market trends. By analyzing the average, fast, medium, and slow momentum lines, traders can gain insights into short-term and long-term market movements.
Squeeze Detection: The indicator highlights periods of low volatility (squeeze conditions) which often precede significant price movements. Traders can use this information to anticipate and prepare for potential breakouts.
Overbought/Oversold Conditions: The oscillator helps identify overbought and oversold conditions, indicating potential reversal points. This is particularly useful for timing entry and exit points in the market.
Momentum Shifts: By monitoring the crossover of momentum lines with key levels (e.g., the 50 level), traders can spot shifts in market momentum, allowing them to adjust their positions accordingly.
🔶 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.
Multiple Divergences [UAlgo]🔶 Description:
"Multiple Divergences " is providing insights into potential divergences across multiple indicators. Divergence, a concept in technical analysis, occurs when the price of an asset diverges from the direction of an accompanying indicator, suggesting a possible reversal or continuation in the price trend.
🔶 Key Features:
Customizable Divergence Settings: Users can adjust parameters such as the minimum number of divergences required to display labels, pivot lookback periods, and plot options for various types of divergences (regular or hidden) and bullish/bearish labels.
Multiple Technical Indicators: The script supports a wide range of popular indicators, including MACD, RSI, Stochastic, CCI, Momentum, OBV, DMI Oscillator, VWmacd, Chaikin Money Flow, Money Flow Index, and Awesome Oscillator. You can choose any of the above-mentioned technical indicators for which you want to capture divergences.
🔶 Purpose of Using Multiple Technical Indicators
In the complex and volatile world of trading, relying on a single indicator can provide an incomplete or misleading picture of market conditions. Different technical indicators analyze various aspects of price movement, volume, and momentum, offering unique insights that can complement each other. By utilizing multiple indicators, traders can cross-verify signals, reduce false positives, and increase the reliability of their trading decisions.
Identifying divergences across multiple indicators further enhances this reliability, as a divergence spotted in several indicators simultaneously is a stronger signal than one found in isolation. This comprehensive approach helps traders to anticipate potential market turning points with greater confidence and precision.
By integrating multiple technical indicators and meticulously tracking their divergences, this script aims traders with a robust tool for navigating the complexities of financial markets.
🔶 How to Obtain Divergences
Regular Bullish Divergence:
This occurs when the price makes a new lower low compared to a previous pivot low, indicating a downward trend. Simultaneously, the selected oscillator makes a higher low compared to its previous pivot low, indicating a potential upward momentum. This divergence suggests that, despite the falling price, the underlying momentum is strengthening, potentially signaling a reversal to an upward trend.
Regular Bearish Divergence:
This happens when the price makes a new higher high compared to a previous pivot high, indicating an upward trend. Concurrently, the selected oscillator makes a lower high compared to its previous pivot high, indicating weakening momentum. This divergence suggests that, despite the rising price, the underlying momentum is weakening, potentially signaling a reversal to a downward trend.
Example for Regular Bullish and Regular Bearish Divergences (Minimum Divergenes Count to Display = 3, All Selected):
Hidden Bullish Divergence:
Hidden bullish divergence is observed when the price makes a higher low compared to a previous pivot low, indicating an upward trend. At the same time, the oscillator makes a lower low compared to its previous pivot low, indicating a potential strengthening momentum. This condition suggests that the underlying strength of the upward trend is intact, despite the oscillator indicating otherwise.
Hidden Bearish Divergence:
This occurs when the price makes a lower high compared to a previous pivot high, indicating a downward trend. Simultaneously, the oscillator makes a higher high compared to its previous pivot high, indicating a potential weakening momentum. This divergence suggests that the underlying weakness of the downward trend is intact, despite the oscillator indicating otherwise.
Divergence Labeling: The script dynamically generates labels on the chart to visually highlight detected divergences based on user-defined criteria. (E.g. "5 Regular Bullish Divs." , "1 Hidden Bearish Div")
🔶 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.
Candlestick Reversal and Trend Signals [AlgoAlpha]🚀 Unleash your charting capabilities with the Candlestick Reversal and Trend Signals indicator by AlgoAlpha, your go-to tool for spotting pivotal market movements! This script enhances your trading experience by identifying key candlestick patterns and trend changes, perfect for traders aiming for precision in their technical analysis.
🛠 Key Features:
- 🔄 Multi-Timeframe Analysis : Leverages a timeframe multiplier to analyze levels on higher timeframes, enhancing the depth and applicability of insights.
- 🧩 Diverse Pattern Detection : Capable of detecting a wide array of patterns including Bull/Bear Engulfings, Dojis, Haramis, Piercing Lines, Dark Cloud Covers, and Morning/Evening Stars, each contributing to a robust trading strategy.
- 🔍 Dynamic Trend Filters : Utilizes three exponential moving averages (EMAs) and volume filters to decisively confirm trend directions and strength, providing a clearer picture of market dynamics.
- ⚙️ Customizable Settings : Features adjustable settings for filter period, signal thresholds, and appearance, allowing for a tailored analysis experience to fit individual trading styles.
- 📉 Swing Levels Identification : Marks significant high and low swing points on the chart, highlighting potential pivot points and trend reversals for strategic trading decisions.
📈 Quick Guide to Using the Candlestick Reversal and Trend Signals Indicator
1. 🛠 Add the Indicator : Add the indicator to your favorites. Adjust the settings to match your analysis needs.
2. 📊 Analysis : Keep an eye out for the specific symbols plotted on your chart that indicate various candlestick patterns. Use these signals to enhance your market analysis.
3. 🔔 Set Alerts : Enable alerts for the patterns you are most interested in to get notified of potential trading opportunities without needing to monitor the charts constantly.
Embark on your enhanced trading journey with this powerful tool! 🚀✨ Happy trading!
🧐 How It Works:
The Candlestick Reversal and Trend Signals indicator operates by integrating several candlestick patterns and trend analysis features to assist in making informed trading decisions. Initially, it gathers user-defined settings like the period for filtering, signal thresholds, and the desired patterns to detect. It analyzes candlestick formations such as Bull/Bear Engulfings, Dojis, Haramis, and more, by comparing the current candlestick's attributes (such as body length and direction) with previous data to identify potential market reversals or confirmations. The indicator enhances its accuracy through additional filters like volume ratios and exponential moving averages (EMAs) that help validate the strength and direction of trends. By marking these patterns and trends visually on the chart, it provides clear signals that aid traders in identifying significant market movements efficiently. The script is then complemented with the 3 EMA indicator for trend detection and swing levels for added confluence.
Signals & Overlays [UAlgo]The Signals & Overlays indicator is a comprehensive trading tool designed to provide traders with a holistic view of market conditions. It combines multiple analysis techniques to offer insights into trend direction, potential reversal points, and optimal entry and exit levels. This versatile indicator is suitable for various trading styles and timeframes, also has Beginner-Friendly presets to enable multiple features at once within one-click.
🔶 Key Features:
🔹 Contrarian Signals:
This feature identifies potential trend reversals and market turning points. These contrarian signals are displayed as arrow markers on the chart, alerting traders to possible opportunities that go against the prevailing trend. The signals are based on a combination of price action, momentum, and volatility factors, providing a multi-faceted approach to market analysis.
Customizable Settings :
Signal Sensitivity: Adjustable from 0.1 to 10.0. This controls how sensitive the indicator is to potential reversal signals.
🔹 Reversal Zones:
This feature utilizes statistical methods that compute a smoothed average and associated bands around a data series using Gaussian weights. The Gaussian distribution helps to assign more weight to data points near the center of the window, and the bands represent the average plus/minus a scaled measure of deviation.
This technique is often used in financial analysis to detect trends and measure volatility to identify key areas where price reversals are more likely to occur. These zones providing a dynamic representation of potential support and resistance areas. Traders can use these zones to anticipate potential price reactions and plan their entries and exits accordingly.
Users can also customize the responsiveness of the Reversal Zones through the "Zone Speed" setting. This allows for fine-tuning the model's sensitivity to price changes:
Swift Mode: Quickly adapts to recent price movements, ideal for short-term trading.
Standard Mode: Balances recent and historical data for a medium-term perspective.
Slow Mode: Emphasizes longer-term trends, suitable for position trading.
Customizable Settings :
Zone Data Source: Users can select which price data (open, high, low, close, etc.) to use for zone calculations.
Zone Speed: Choosable between "Swift", "Standard", and "Slow", affecting how quickly the zones adapt to price changes.
🔹 Smart Trail:
The Smart Trail feature provides an adaptive trend-following mechanism. It plots a dynamic line that adjusts based on price action and volatility, helping traders stay in trending moves while providing a trailing stop-loss reference. This feature is particularly useful for managing open positions and optimizing exit points.
🔹 Trend Cloud:
Generates a specialized trend indicator using double-smoothed EMAs applied to closing prices and the high-low price range. It visualizes market trends and volatility by shading the area between different indicator values over time. The color of the shading changes to reflect whether the current trend is strengthening or weakening.
The Trend Cloud feature provides a visually intuitive representation of the overall market trend. It generates a dynamic colored cloud on the chart that helps traders quickly assess the current market direction and strength. Bullish trends represented by blue clouds and bearish trends by red clouds.
🔹 Trend Analyzer:
The Trend Analyzer component provides an in-depth analysis of the current market trend. It uses a customizable moving average system to determine the trend direction and strength. The analyzer can be configured to focus on short-term, medium-term, or long-term trends, allowing traders to align their strategy with their preferred trading timeframe.
Customizable Settings :
Analyzer Calculation Period: Adjustable period for trend analysis calculations.
Analyzer Mode: Selectable between "Short-Term", "Medium-Term", and "Long-Term".
Analyzer Calculation Source: Customizable price data source for trend analysis.
Use Heikin Ashi: Option to use Heikin Ashi candles instead of regular candles for calculations.
🔹 TP/Exit/Entry Levels:
The indicator calculates and displays potential take profit (TP), exit, and entry levels based on market structure and volatility. These levels are marked on the chart, offering traders guidance on optimal points for trade management. This feature can be particularly helpful for setting profit targets and managing risk.
🔹 Dashboard:
The customizable dashboard provides a quick overview of key market metrics. It displays information such as trend strength, volume analysis, market volatility, the current state of the Trend Catcher and the market is "Bearish" or "Bullish". This at-a-glance summary helps traders make informed decisions without the need to switch between multiple indicators.
Customizable Settings :
Toggle: Option to display or hide the dashboard.
Dashboard Position and Size: Selectable between "Top Right", "Bottom Right", and "Bottom Left". Adjustable size to "Tiny", "Small" or "Normal".
🔶 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.
Expectation Breakers [QuantVue]In technical analysis, an "Expectation Breaker" refers to a market event where price action defies typical patterns and anticipated movements, signaling potential shifts in market sentiment and direction.
This indicator looks to take advantage of these opportunities by identifying 2 types of Expectation Breakers: Downside Reversal Buybacks and Upside Reversal Sellbacks.
Downside Reversal
A downside reversals occur when a stock reaches a new high for the user defined lookback period (65 bars by default), and then experiences a larger-than-average drop and closes near its lows. This usually indicates that the market has overextended itself. The expectation is that there will be 2-3 bars of significant selling, following the downside reversal.
However, a notable sign of strength is if the stock rebounds and closes above the downside reversal bar's high within 1-3 bars. This is known as a Downside Reversal Buyback. A rapid recovery following a downside reversal is a powerful bullish indicator, breaking the expectation of lower prices. The quicker price recovers from a downside reversal, the more meaningful it is. Such a swift rebound suggests that the market's strength was underestimated, as downside reversals typically signal a short-term decline.
Upside Reversal
An upside reversal occurs when a stock reaches a new low for the user-defined lookback period (65 bars by default), and then experiences a larger-than-average rise and closes near its highs. This usually indicates that the market has overextended itself to the downside. The expectation is that there will be 2-3 bars of significant buying, following the upside reversal.
However, a notable sign of weakness is if the stock falls back and closes below the upside reversal bar's low within 1-3 bars. This is known as a Upside Reversal Sellback. A rapid fallback following an upside reversal is a powerful bearish indicator, breaking the expectation of higher prices. The quicker price falls back from an upside reversal, the more meaningful it is. Such a swift fallback suggests that the market's weakness was underestimated, as upside reversals typically signal a short-term rally.
The Expectation Breakers indicator identifies these opportunities by first identifying new highs and lows within a defined lookback period. It then compares the true range (TR), average true range (ATR), and closing range to confirm the significance of these reversals. The use of TR and ATR ensures that the reversals are substantial enough to indicate a genuine shift in market sentiment, helping to identify when price action breaks expectations.
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Cheers!
VWAP Bands [UAlgo]The "VWAP Bands " indicator is designed to provide traders with valuable insights into market trends and potential support/resistance levels using Volume Weighted Average Price (VWAP) bands. This indicator integrates the core concepts of VWAP with additional trend analysis features, making it a versatile tool for both range trading and trend-following strategies.
The VWAP bands are plotted based on the standard deviation multipliers, creating upper and lower bands around the VWAP. These bands serve as dynamic support and resistance levels. When the price approaches these bands, traders can anticipate potential reversals or continuations of the current trend. Additionally, the indicator provides visual cues for trend strength and potential trend changes, helping traders make informed decisions in various market conditions.
🔶 Settings
Source (Data Source): The data source for VWAP calculations. The default setting is the typical price (HLC3), which is the average of the high, low, and close prices.
Length: The number of bars used in the VWAP calculation. This determines the lookback period for the indicator.
Standard Deviation Multiplier: The multiplier applied to the standard deviation to create the primary upper and lower VWAP bands. This setting controls the distance of the bands from the VWAP.
Secondary Standard Deviation Multiplier: The multiplier applied to the standard deviation to create the secondary upper and lower VWAP bands, providing additional levels of support and resistance.
Display Trend: A toggle to enable or disable the display of the trend analysis feature. When enabled, the indicator highlights trend strength and potential trend changes.
Display Trend Crossovers: A toggle to enable or disable the display of trend crossover signals. When enabled, the indicator plots shapes to indicate where trend switches are likely occurring.
🔶 Calculations
The calculations behind the "VWAP Bands " indicator begin with determining the Volume Weighted Average Price (VWAP), which provides a comprehensive view of the average price of an asset, weighted by trading volume. This gives a more accurate representation of the asset's true average price over a specified period.
The first step in this process involves summing the trading volume over a chosen period, typically represented by the length parameter. Simultaneously, the product of the price (usually an average of the high, low, and close prices) and the trading volume is calculated and summed. By dividing this cumulative price-volume product by the total volume, we obtain the VWAP value. This VWAP serves as the central anchor around which the price action oscillates.
To enhance the utility of VWAP, we introduce standard deviation calculations. Standard deviation measures the extent of price dispersion from the VWAP, providing insight into price volatility. By calculating the variance (which involves the squared deviations of price) and then taking its square root, we derive the standard deviation. This helps in understanding how far prices typically stray from the VWAP.
With the VWAP and standard deviation in hand, we then establish upper and lower bands by adding and subtracting multiples of the standard deviation from the VWAP. These bands act as dynamic support and resistance levels, adapting to changes in market volatility. The primary bands, set by the first standard deviation multiplier, are augmented by secondary bands defined by a larger multiplier, offering additional layers of potential support and resistance.
It also integrates trend analysis, highlighting areas where the price action suggests a strong or weak trend. This is achieved by overlaying colored zones above and below the bands, indicating the strength and direction of the trend. When the price crosses these bands, it signals potential trend changes, aiding traders in making timely decisions.
🔶 Disclaimer
The "VWAP Bands " indicator is provided for educational and informational purposes only. It is not intended as financial advice and should not be construed as such.
Trading involves significant risk and may not be suitable for all investors. Before using this indicator or making any investment decisions, it is important to conduct thorough research and consider your financial situation.
RSI DeviationAn oscillator which de-trends the Relative Strength Index. Rather, it takes a moving average of RSI and plots it's standard deviation from the MA, similar to a Bollinger %B oscillator. This seams to highlight short term peaks and troughs, Indicating oversold and overbought conditions respectively. It is intended to be used with a Dollar Cost Averaging strategy, but may also be useful for Swing Trading, or Scalping on lower timeframes.
When the line on the oscillator line crosses back into the channel, it signals a trade opportunity.
~ Crossing into the band from the bottom, indicates the end of an oversold condition, signaling a potential reversal. This would be a BUY signal.
~ Crossing into the band from the top, indicates the end of an overbought condition, signaling a potential reversal. This would be a SELL signal.
For ease of use, I've made the oscillator highlight the main chart when Overbought/Oversold conditions are occurring, and place fractals upon reversion to the Band. These repaint as they are calculated at close. The earliest trade would occur upon open of the following day.
I have set the default St. Deviation to be 2, but in my testing I have found 1.5 to be quite reliable. By decreasing the St. Deviation you will increase trade frequency, to a point, at the expense of efficiency.
Cheers
DJSnoWMan06
Non-Sinusoidal Multi-Layered Moving Average OscillatorThis indicator utilizes multiple moving averages (MAs) of different lengths their difference and its rate of change to provide a comprehensive view of both short-term and long-term market trends. The output signal is characterized by its non-sinusoidal nature, offering distinct advantages in trend analysis and market forecasting.
Combining the difference between two moving averages with the ROC allows to assess not only the direction and strength of the trend but also the momentum behind it. Transforming these signal in to non-sinusoidal output enhances its utility.
The indicator allows traders to select any one or more of seven moving average options. Larger timeframes (e.g., MA89/MA144) provide a broader identification of the overall trend, helping to understand the general market direction. Smaller timeframes (e.g., MA5/MA8) are more sensitive to price changes and can indicate better entry and exit points, aiding in the identification of retracements and pullbacks. By combining multiple timeframes, traders can get a comprehensive view of the market, enabling more precise and informed trading decisions.
Key Features:
Multiple Moving Averages:
The indicator calculates several exponential moving averages (EMAs) based on different lengths: MA5, MA8, MA13, MA21, MA34, MA55, MA89, and MA144.
These MAs are further smoothed using a secondary exponential moving average, with the smoothing length customizable by the user.
Percentage Differences:
The indicator computes the percentage differences between successive MAs (e.g., (MA5 - MA8) / MA8 * 100). These differences highlight the relative movement of prices over different periods, providing insights into market momentum and trend strength.
Short-term MA differences (e.g., MA5/MA8) are more sensitive to recent price changes, making them useful for detecting quick market movements.
Long-term MA differences (e.g., MA89/MA144) smooth out short-term fluctuations, helping to identify major trends.
Rate of Change (ROC):
The indicator applies the Rate of Change (ROC) to the percentage differences of the MAs. ROC measures the speed at which the percentage differences are changing over time, providing an additional layer of trend analysis.
ROC helps in understanding the acceleration or deceleration of market trends, indicating the strength and potential reversals.
Transformations:
The percentage differences undergo a series of mathematical transformations (either inverse hyperbolic sine transformation or inverse fisher transformation) to refine the signal and enhance its interpretability. These transformations include adjustments to stabilize the values and highlight significant movements.
checkbox allows users to select which mathematical transformations to use.
Non-Sinusoidal Nature:
The output signal of this indicator is non-sinusoidal, characterized by abrupt changes and distinct patterns rather than smooth, wave-like oscillations.
The non-sinusoidal signal provides clearer demarcations of trend changes and is more responsive to sudden market shifts.
This nature reduces the lag typically associated with sinusoidal indicators, allowing for more timely and accurate trading decisions.
Customizable Options:
Users can select which MA pairs to include in the analysis using checkboxes. This flexibility allows the indicator to adapt to different trading strategies, whether focused on short-term movements or long-term trends.
Visual Representation:
The indicator plots the transformed values on a separate panel, making it easy for traders to visualize the trends and potential entry or exit points.
Usage Scenarios:
Short-Term Trading: By focusing on shorter MAs (e.g., MA5/MA8), traders can capture quick market movements and identify short-term trends.
Long-Term Analysis: Utilizing longer MAs (e.g., MA89/MA144) helps in identifying major market trends.
Combination of MAs: The ability to mix different MA lengths provides a balanced view, helping traders make decisions based on both immediate price actions and overall market direction.
Practical Benefits:
Early Signal Detection: The sensitivity of short-term MAs provides early signals for potential trend changes, assisting traders in timely decision-making.
Trend Confirmation: Long-term MAs offer stable trend confirmation, reducing the likelihood of false signals in volatile markets.
Noise Reduction: The mathematical transformations and ROC applied to the percentage differences help in filtering out market noise, focusing on meaningful price movements.
Improved Responsiveness: The non-sinusoidal nature of the signal allows the indicator to react more quickly to market changes, providing more accurate and timely trading signals.
Clearer Trend Demarcations: Non-sinusoidal signals make it easier to identify distinct phases of market trends, aiding in better interpretation and decision-making.
Wolfe Wave Detector [LuxAlgo]The Wolfe Wave Detector displays occurrences of Wolfe Waves, alongside a target line. A multiple swing detection approach is used to maximize the number of detected waves.
The indicator includes a dashboard with the number of detected waves, as well as the number of reached targets.
🔶 USAGE
The Wolfe Wave pattern is a chart pattern composed of five segments, with the initial segment extremities (points XABCD) forming a channel containing price variations.
After the price reaches point D , we can expect a reversal toward a target line (point E ). The target line is obtained by connecting and extending point X -> C .
The script draws the XABCD pattern and a projection of where E might potentially be located.
The projection is derived from the intersection between the target line and a line starting from D , parallel to B-C . From this line, margins are added, left and right, creating a wedge-shaped figure in most cases.
When the price passes the target line, this is highlighted by a dot. The dot and pattern are green by default when the target is above D and red when the target is below D . Colors can be edited in the settings. The dashed target line is colored in the opposite color.
As seen in the above example, the price trend can reverse after reaching the target line.
🔹 Symmetry
Ideally, the Wolfe Wave must have a degree of symmetry; every upward line should have a similar angle to the other upward lines, and the same should be true for the downward lines.
Also, the lines forming the channel should be as parallel as possible.
Users have the option to adjust the tolerance:
Margin controls the wave symmetry of the pattern
Angle controls the channel symmetry of the pattern
It's important to note that in both cases, a lower number will lead to more symmetrical patterns, but they may appear less frequently.
It is also important to note that increasing the Margin can delay validating the pattern. In the meantime, the price could surpass the channel in the opposite direction, invalidating and deleting the otherwise valid pattern.
🔹 Multiple Swings
Users can set a Minimum Swing length (for example 2) and a Maximum Swing length (for example 100) which defines the range of the swing point detection length, higher values for these settings will detect longer-term Wolfe patterns, while a larger range will allow for the detection of a larger number of patterns.
By using multiple swings, it is possible to find smaller next to larger patterns at the same time.
The dashboard shows the number of patterns found and targets reached. When, for example, bullish patterns are disabled in the settings, the dashboard only shows the results of bearish patterns.
🔹 Extend Target Line
The publication includes a setting that allows the Target Line to be extended up to 50 bars further. As seen in the above example, the Target Line can still be reached even after the pattern has been finalized. Once the Target Line is reached, it won't be updated further.
Here is another example of a Target Line being reached later on.
The Target Line acted as a support level, after which where the price changed direction.
🔹 Show Progression
An option is included to show the progression before the pattern is completed. Users can make use of the XABC pattern or visualize where point D should be positioned.
The focus lies on the bar range (between the left and right borders of the grey rectangle). The pattern is considered invalid and deleted when point D is beyond these limits. The height of the rectangle is optional. Ideally, the price should be located between the top and bottom of the rectangle, but it is not mandatory.
Show Progression has three options including:
Full: Show all lines of XABC plus line C-D and rectangle for the position of point D
Partial: Show line C-D and rectangle for the position of point D
None: Only show valid completed patterns
The 'Partial' option in the 'Show Progression' feature is designed to help users locate the desired position of point D without the visual clutter caused by the XABC lines. This can be useful for those who prefer a cleaner visual representation of the evolving pattern.
🔶 SETTINGS
🔹 Swing Length
Minimum: Minimum length used for the swing detection.
Maximum Swing Length: Maximum length used for the swing detection.
🔹 Tolerance
Margin: Influences the symmetry of the pattern; with a higher number allowing for less symmetry.
Angle: Influences the symmetry of the channel; with a higher number allowing for less symmetry.
🔹 Style
Toggle: Bullish/Bearish + colors
Extend Target Line: Extend a maximum of 50 bars or until Target Line is reached
Show Progression: Show pattern progression
Dot Size: The size of the dot when the Target Line is reached
🔹 Dashboard
Show Dashboard: Toggle dashboard which shows the number of found patterns and targets reached.
Location: Location of the dashboard on the chart.
Text Size: Text size.
🔹 Calculation
Calculated Bars: Allows the usage of fewer bars for performance/speed improvement
ICT KillZones + Pivot Points [TradingFinder] Support/Resistance 🟣 Introduction
Pivot Points are critical levels on a price chart where trading activity is notably high. These points are derived from the prior day's price data and serve as key reference markers for traders' decision-making processes.
Types of Pivot Points :
Floor
Woodie
Camarilla
Fibonacci
🔵 Floor Pivot Points
Widely utilized in technical analysis, floor pivot points are essential in identifying support and resistance levels. The central pivot point (PP) acts as the primary level, suggesting the trend's likely direction.
The additional resistance levels (R1, R2, R3) and support levels (S1, S2, S3) offer further insight into potential trend reversals or continuations.
🔵 Camarilla Pivot Points
Featuring eight distinct levels, Camarilla pivot points closely correspond with support and resistance, making them highly effective for setting stop-loss orders and profit targets.
🔵 Woodie Pivot Points
Similar to floor pivot points, Woodie pivot points differ by placing greater emphasis on the closing price, often resulting in different pivot levels compared to the floor method.
🔵 Fibonacci Pivot Points
Fibonacci pivot points combine the standard floor pivot points with Fibonacci retracement levels applied to the previous trading period's range. Common retracement levels used are 38.2%, 61.8%, and 100%.
🟣 Sessions
Financial markets are divided into specific time segments, known as sessions, each with unique characteristics and activity levels. These sessions are active at different times throughout the day.
The primary sessions in financial markets include :
Asian Session
European Session
New York Session
The timing of these major sessions in UTC is as follows :
Asian Session: 23:00 to 06:00
European Session: 07:00 to 14:25
New York Session: 14:30 to 22:55
🟣 Kill Zones
Kill zones are periods within a session marked by heightened trading activity. During these times, trading volume surges and price movements become more pronounced.
The timing of the major kill zones in UTC is :
Asian Kill Zone: 23:00 to 03:55
European Kill Zone: 07:00 to 09:55
New York Kill Zone: 14:30 to 16:55
Combining kill zones and pivot points in financial market analysis provides several advantages :
Enhanced Market Sentiment Analysis : Aligns key price levels with high-activity periods for a clearer market sentiment.
Improved Timing for Trade Entries and Exits : Helps better time trades based on when price movements are most likely.
Higher Probability of Successful Trades : Increases the accuracy of predicting market movements and placing profitable trades.
Strategic Stop-Loss and Profit Target Placement : Allows for precise risk management by strategically setting stop-loss and profit targets.
Versatility Across Different Time Frames : Effective in both short and long time frames, suitable for various trading strategies.
Enhanced Trend Identification and Confirmation : Confirms trends using both pivot levels and high-activity periods, ensuring stronger trend validation.
In essence, this integrated approach enhances decision-making, optimizes trading performance, and improves risk management.
🟣 How to Use
🔵 Two Approaches to Trading Pivot Points
There are two main strategies for trading pivot points: utilizing "pivot point breakouts" and "price reversals."
🔵 Pivot Point Breakout
When the price breaks through pivot lines, it signals a shift in market sentiment to the trader. In the case of an upward breakout, where the price crosses these pivot lines, a trader might enter a long position, placing their stop-loss just below the pivot point (P).
Conversely, if the price breaks downward, a short position can be initiated below the pivot point. When using the pivot point breakout strategy, the first and second support levels can serve as profit targets in an upward trend. In a downward trend, these roles are filled by the first and second resistance levels.
🔵 Price Reversal
An alternative method involves waiting for the price to reverse at the support and resistance levels. To implement this strategy, traders should take positions opposite to the prevailing trend as the price rebounds from the pivot point.
While this tool is commonly used in higher time frames, it tends to produce better results in shorter time frames, such as 1-hour, 30-minute, and 15-minute intervals.
Three Strategies for Trading the Kill Zone
There are three principal strategies for trading within the kill zone :
Kill Zone Hunt
Breakout and Pullback to Kill Zone
Trading in the Trend of the Kill Zone
🔵 Kill Zone Hunt
This strategy involves waiting until the kill zone concludes and its high and low lines are established. If the price reaches one of these lines within the same session and is strongly rejected, a trade can be executed.
🔵 Breakout and Pullback to Kill Zone
In this approach, once the kill zone ends and its high and low lines stabilize, a trade can be made if the price breaks one of these lines decisively within the same session and then pulls back to that level.
🔵 Trading in the Trend of the Kill Zone
Kill zones are characterized by high trading volumes and strong trends. Therefore, trades can be placed in the direction of the prevailing trend. For instance, if an upward trend dominates this area, a buy trade can be entered when the price reaches a demand order block.
Pivot Points Level [TradingFinder] 4 Methods + Reversal lines🔵 Introduction
"Pivot Points" are places on the price chart where buyers and sellers are most active. Pivot points are calculated based on the previous day's price data and serve as reference points for traders to make decisions.
Types of Pivot Points :
Floor
Woodie
Camarilla
Fibonacci
🟣 Floor Pivot Points
Floor pivot points are widely used in technical analysis. The central pivot point (PP) serves as the main level of support or resistance, indicating the potential direction of the trend.
The first to third levels of resistance (R1, R2, R3) and support (S1, S2, S3) provide additional signals for potential trend reversals or continuations.
Floor Pivot Points Formula :
Pivot Point (PP): (H + L + C) / 3
First Resistance (R1): (2 * P) - L
Second Resistance (R2): P + H - L
Third Resistance (R3): H + 2 * (P - L)
First Support (S1): (2 * P) - H
Second Support (S2): P - H + L
Third Support (S3): L - 2 * (H - P)
🟣 Camarilla Pivot Points
Camarilla pivot points include eight levels that closely align with support and resistance. These points are particularly useful for setting stop-loss and profit targets.
Camarilla Pivot Points Formula :
Fourth Resistance (R4): (H - L) * 1.1 / 2 + C
Third Resistance (R3): (H - L) * 1.1 / 4 + C
Second Resistance (R2): (H - L) * 1.1 / 6 + C
First Resistance (R1): (H - L) * 1.1 / 12 + C
First Support (S1): C - (H - L) * 1.1 / 12
Second Support (S2): C - (H - L) * 1.1 / 6
Third Support (S3): C - (H - L) * 1.1 / 4
Fourth Support (S4): C - (H - L) * 1.1 / 2
🟣 Woodie Pivot Points
Woodie pivot points are similar to floor pivot points but place more emphasis on the closing price. This method often results in different pivot levels than the floor method.
Woodie Pivot Points Formula :
Pivot Point (PP): (H + L + 2 * C) / 4
First Resistance (R1): (2 * P) - L
Second Resistance (R2): P + H - L
First Support (S1): (2 * P) - H
Second Support (S2): P - H + L
🟣 Fibonacci Pivot Points
Fibonacci pivot points use the standard floor pivot points and then apply Fibonacci retracement levels to the range of the previous trading period. The common retracement levels used are 38.2%, 61.8%, and 100%.
Fibonacci Pivot Points Formula :
Pivot Point (PP): (H + L + C) / 3
Third Resistance (R3): PP + ((H - L) * 1.000)
Second Resistance (R2): PP + ((H - L) * 0.618)
First Resistance (R1): PP + ((H - L) * 0.382)
First Support (S1): PP - ((H - L) * 0.382)
Second Support (S2): PP - ((H - L) * 0.618)
Third Support (S3): PP - ((H - L) * 1.000)
These pivot point calculations help traders identify potential support and resistance levels, enabling more informed decision-making in their trading strategies.
🔵 How to Use
🟣 Two Methods for Trading Pivot Points
There are two primary methods for trading pivot points: trading with "pivot point breakouts" and trading with "price reversals."
🟣 Pivot Point Breakout
A breakout through pivot lines provides a significant signal to the trader, indicating a change in market sentiment. When an upward breakout occurs and the price crosses these lines, a trader can enter a long position and place their stop-loss below the pivot point (P).
Similarly, if a downward breakout happens, a short order can be placed below the pivot point.
When trading with pivot point breakouts, if the upward trend breaks, the first and second support levels can be the trader's profit targets. In a downward trend, the first and second resistance levels will serve this role.
🟣 Price Reversal
Another method for trading pivot points is waiting for the price to reverse from the support and resistance levels. To execute this strategy, one should trade in the opposite direction of the trend as the price reverses from the pivot point.
It's worth noting that although traders use this tool in higher time frames, it yields better results in shorter time frames such as one-hour, 30-minute, and 15-minute intervals.
Moving Average Bands with Signals [UAlgo]The "Moving Average Bands with Signals combines various moving average types with ATR-based bands to help traders identify potential support and resistance levels.
It plots moving average bands with upper and lower support/resistance levels based on the Average True Range (ATR) and user-defined settings.Additionally, the script generates buy/sell signals based on price crossing above or below the bands.
🔶 Key Features
Multiple Moving Average Types:
Supports various moving average calculations including Arnaud Legoux Moving Average (ALMA), Exponential Moving Average (EMA), Double Exponential Moving Average (DEMA), Triple Exponential Moving Average (TEMA), Kaufman Adaptive Moving Average (KAMA), Hull Moving Average (HMA), Least Squares Moving Average (LSMA), Simple Moving Average (SMA), Triangular Moving Average (TMA), Volume-Weighted Moving Average (VWMA), Weighted Moving Average (WMA), and Zero-Lag Moving Average (ZLMA).
Customizable ATR Bands:
Integrates the Average True Range (ATR) to calculate dynamic support and resistance bands around the moving average. The multiplier for the bands is user-adjustable, allowing for finer control over the sensitivity and width of the bands.
Signal Generation:
Provides visual signals on the chart when the price interacts with the support or resistance bands. Users can choose between using the wick or the close price to generate these signals, adding an extra layer of customization based on their trading style.
Flexible Input Parameters:
Allows users to input parameters for moving average length, ATR length, band multiplier, and signal type. Additional settings are available for specific moving average types, such as ALMA's offset and sigma, KAMA's fast and slow periods, and LSMA's offset.
🔶 Disclaimer
This script is provided for educational purposes only and should not be considered financial advice.
Trading financial instruments involves substantial risk and can result in significant financial losses.
The script’s performance in the past is not indicative of future results, and no guarantees are made regarding its accuracy, reliability, or performance.
Cosine Kernel Regressions [QuantraSystems]Cosine Kernel Regressions
Introduction
The Cosine Kernel Regressions indicator (CKR) uses mathematical concepts to offer a unique approach to market analysis. This indicator employs Kernel Regressions using bespoke tunable Cosine functions in order to smoothly interpret a variety of market data, providing traders with incredibly clean insights into market trends.
The CKR is particularly useful for traders looking to understand underlying trends without the 'noise' typical in raw price movements. It can serve as a standalone trend analysis tool or be combined with other indicators for more robust trading strategies.
Legend
Fast Trend Signal Line - This is the foreground oscillator, it is colored upon the earliest confirmation of a change in trend direction.
Slow Trend Signal Line - This oscillator is calculated in a similar manner. However, it utilizes a lower frequency within the cosine tuning function, allowing it to capture longer and broader trends in one signal. This allows for tactical trading; the user can trade smaller moves without losing sight of the broader trend.
Case Study
In this case study, the CKR was used alongside the Triple Confirmation Kernel Regression Oscillator (KRO)
Initially, the KRO indicated an oversold condition, which could be interpreted as a signal to enter a long position in anticipation of a price rebound. However, the CKR’s fast trend signal line had not yet confirmed a positive trend direction - suggesting that entering a trade too early and without confirmation could be a mistake.
Waiting for a confirmed positive trend from the CKR proved beneficial for this trade. A few candles after the oversold signal, the CKR's fast trend signal line shifted upwards, indicating a strong upward momentum. This was the optimal entry point suggested by the CKR, occurring after the confirmation of the trend change, which significantly reduced the likelihood of entering during a false recovery or continuation of the downtrend.
This is one of the many uses of the CKR - by timing entries using the fast signal line , traders could avoid unnecessary losses by preventing premature entries.
Methodology
The methodology behind CKR is a multi-layered approach and utilizes many ‘base’ indicators.
Relative Strength Index
Stochastic Oscillator
Bollinger Band Percent
Chande Momentum Oscillator
Commodity Channel Index
Fisher Transform
Volume Zone Oscillator
The calculated output from each indicator is standardized and scaled before being averaged. This prevents any single indicator from overpowering the resulting signal.
// ╔════════════════════════════════╗ //
// ║ Scaling/Range Adjustment ║ //
// ╚════════════════════════════════╝ //
RSI_ReScale (_res ) => ( _res - 50 ) * 2.8
STOCH_ReScale (_stoch ) => ( _stoch - 50 ) * 2
BBPCT_ReScale (_bbpct ) => ( _bbpct - 0.5 ) * 120
CMO_ReScale (_chandeMO ) => ( _chandeMO * 1.15 )
CCI_ReScale (_cci ) => ( _cci / 2 )
FISH_ReScale (_fish1 ) => ( _fish1 * 30 )
VZO_ReScale (_VP, _TV ) => (_VP / _TV) * 110
These outputs are then fed into a customized cosine kernel regression function, which smooths the data, and combines all inputs into a single coherent output.
// ╔════════════════════════════════╗ //
// ║ COSINE KERNEL REGRESSIONS ║ //
// ╚════════════════════════════════╝ //
// Define a function to compute the cosine of an input scaled by a frequency tuner
cosine(x, z) =>
// Where x = source input
// y = function output
// z = frequency tuner
var y = 0.
y := math.cos(z * x)
Y
// Define a kernel that utilizes the cosine function
kernel(x, z) =>
var y = 0.
y := cosine(x, z)
math.abs(x) <= math.pi/(2 * z) ? math.abs(y) : 0. // cos(zx) = 0
// The above restricts the wave to positive values // when x = π / 2z
The tuning of the regression is adjustable, allowing users to fine-tune the sensitivity and responsiveness of the indicator to match specific trading strategies or market conditions. This robust methodology ensures that CKR provides a reliable and adaptable tool for market analysis.
Volume Weighted Relative Strength Index (VWRSI) [AlgoAlpha]Volume Weighted Relative Strength Index 📈✨
The Volume Weighted Relative Strength Index (VWRSI) by AlgoAlpha enhances traditional RSI by incorporating volume weighting, providing a more nuanced view of market strength. It uses custom range detection to measure consolidation strength, applying dynamic scoring to highlight trend phases. The indicator includes customizable moving averages (SMA, EMA, WMA, VWMA) and color-coded visual cues for uptrends and downtrends. Additionally, it marks significant bullish and bearish trend points with symbols, making it easier to identify potential trading opportunities. This powerful tool helps traders make informed decisions by combining volume, price action, and trend analysis.
✨ Key Features :
📊 Volume-Weighted RSI : Combines RSI with volume for better accuracy.
🔄 Range Detection : Identifies consolidation phases.
🎨 Customizable MAs : Choose from various moving averages.
🔔 Alert Capabilities : Set notifications for trend points.
🚀 How to Use :
🛠 Add Indicator : Add the indicator to favorites, and customize the settings to suite your trading style.
📊 Analyze Market : Watch RSI and range score for trends.
🔔 Set Alerts : Get notified of bullish/bearish points.
✨ How It Works :
The Volume Weighted Relative Strength Index (VWRSI) combines traditional RSI with volume weighting to offer a more comprehensive view of market momentum. It calculates the RSI using the closing price, then weights it by volume to enhance the accuracy of the trend analysis. The indicator also includes a custom range detection feature that evaluates consolidation strength by dynamically scoring the RSI over a specified period. This scoring helps identify phases of strong trends and consolidations. Visual elements like color-coded trend fills and symbols for bullish and bearish points make it easier to spot key market movements and potential trading opportunities.
Stay ahead with VWRSI by AlgoAlpha! 📈💡
FiboSequFiboSequ: Fibonacci Sequence Marking
Leonardo Fibonacci was an Italian mathematician who lived in the 12th century. His real name was Leonardo of Pisa, but he is commonly known as "Fibonacci." Fibonacci is famous for introducing the Hindu-Arabic numeral system to the Western world. This system is the basis of the modern decimal number system we use today.
Fibonacci Sequence
The Fibonacci sequence is a series of numbers that frequently appears in mathematics and nature. The first two numbers in the sequence are 0 and 1, and each subsequent number is the sum of the two preceding numbers.
The sequence is as follows:
0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, ...
Fibonacci Time Zones:
Fibonacci time zones are used to identify potential turning points in the market at specific time intervals. These time zones correspond to the Fibonacci sequence in terms of consecutive days or weeks.
The Fibonacci sequence has a wide range of applications in both mathematics and nature. Leonardo Fibonacci's work has had a significant impact on the development of modern mathematics and numeral systems. In financial markets, the Fibonacci sequence and ratios are frequently used by technical analysts to predict and analyze market movements.
Description:
Overview:
The FiboSequ indicator marks significant days on a price chart based on the Fibonacci sequence. This can help traders identify potential turning points or areas of interest in the market. The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding ones, often found in nature and financial markets.
Fibonacci Sequence:
The sequence used in this indicator includes: 1, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, and 2584.
These numbers represent the days to be marked on the chart, highlighting possible significant market movements.
How It Works:
User Input:
Users can input the starting date (Year, Month, and Day) from which the Fibonacci sequence will begin to be calculated.
This allows flexibility and customization based on the trader's analysis needs.
Calculation:
The starting date is converted into a timestamp in seconds.
For each bar on the chart, the number of days since the starting date is calculated.
The indicator checks if the current day matches any of the Fibonacci sequence days, the previous day, or the next day.
In this indicator, Fibonacci numbers can be displayed on the chart as plus and minus 2 days. For example, for the 145th day, signals start to appear as 143,144 and 145. This is due to dates that sometimes coincide with weekends and public holidays.
Marking the Chart:
When a match is found, a label is placed above the bar indicating the day number from the Fibonacci sequence.
These labels are colored blue with white text for easy visibility.
Usage:
This indicator can be used on any timeframe and market to help identify potential areas where price might react.
It is especially useful for those who employ Fibonacci analysis in their trading strategy.
Example:
If the starting date is January 1, 2020, the indicator will mark significant Fibonacci days (e.g., 1, 3, 5, 8 days, etc.) on the chart from this date onward.
Community Guidelines Compliance:
This indicator adheres to TradingView's Pine Script community guidelines.
It provides customizable user inputs and does not violate any terms of use.
By using the FiboSequ indicator, traders can enhance their technical analysis by incorporating time-based Fibonacci levels, potentially leading to better market timing and decision-making.
Frequently Asked Questions (FAQ)
Q: What is the FiboSequ indicator?
A: The FiboSequ indicator is a technical analysis tool that marks significant days on a price chart based on the Fibonacci sequence. This indicator helps traders identify potential turning points or areas of interest in the market.
Q: What is the Fibonacci sequence and why is it important?
A: The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding ones. The first two numbers are 0 and 1. This sequence frequently appears in nature and financial markets and is used in technical analysis to identify important support and resistance levels.
Q: How do the Fibonacci time zones in the indicator work?
A: Fibonacci time zones are used to identify potential market turning points at specific time intervals. The indicator calculates days based on the Fibonacci sequence (e.g., 1, 3, 5, 8 days, etc.) from the starting date and marks them on the chart.
Q: How can users set the starting date?
A: Users can input the starting date by specifying the year, month, and day. This sets the date from which the indicator begins its calculations, providing flexibility for user analysis.
Q: What do the labels in the indicator represent?
A: The labels mark specific days in the Fibonacci sequence. For example, 1st day, 3rd day, 5th day, etc. These labels are displayed in blue with white text for easy visibility.
Q: Which timeframes can I use the FiboSequ indicator on?
A: The FiboSequ indicator can be used on any timeframe. This includes daily, weekly, or monthly charts, as well as shorter timeframes.
Q: Which markets can the FiboSequ indicator be used in?
A: The FiboSequ indicator can be used in various financial markets, including stocks, forex, cryptocurrencies, commodities, and more.
Q: How can I achieve better market timing with the FiboSequ indicator?
A: The FiboSequ indicator helps identify potential market turning points using time-based Fibonacci levels. This can lead to better market timing and more informed trading decisions for traders.
-Please feel free to write your valuable comments and opinions. I attach importance to your valuable opinions so that I can improve myself.
Vwap Z-Score with Signals [UAlgo]The "VWAP Z-Score with Signals " is a technical analysis tool designed to help traders identify potential buy and sell signals based on the Volume Weighted Average Price (VWAP) and its Z-Score. This indicator calculates the VWAP Z-Score to show how far the current price deviates from the VWAP in terms of standard deviations. It highlights overbought and oversold conditions with visual signals, aiding in the identification of potential market reversals. The tool is customizable, allowing users to adjust parameters for their specific trading needs.
🔶 Features
VWAP Z-Score Calculation: Measures the deviation of the current price from the VWAP using standard deviations.
Customizable Parameters: Allows users to set the length of the VWAP Z-Score calculation and define thresholds for overbought and oversold levels.
Reversal Signals: Provides visual signals when the Z-Score crosses the specified thresholds, indicating potential buy or sell opportunities.
🔶 Usage
Extreme Z-Score values (both positive and negative) highlight significant deviations from the VWAP, useful for identifying potential reversal points.
The indicator provides visual signals when the Z-Score crosses predefined thresholds:
A buy signal (🔼) appears when the Z-Score crosses above the lower threshold, suggesting the price may be oversold and a potential upward reversal.
A sell signal (🔽) appears when the Z-Score crosses below the upper threshold, suggesting the price may be overbought and a potential downward reversal.
These signals can help you identify potential entry and exit points in your trading strategy.
🔶 Disclaimer
The "VWAP Z-Score with Signals " indicator is designed for educational purposes and to assist traders in their technical analysis. It does not guarantee profitable trades and should not be considered as financial advice.
Users should conduct their own research and use this indicator in conjunction with other tools and strategies.
Trading involves significant risk, and it is possible to lose more than your initial investment.
[GYTS-CE] Signal Provider | WaveTrend 4D with QMCWaveTrend 4D with Quantile Median Crosses (Community Edition)
🌸 " 📡 Signal Provider" in GoemonYae Trading System (GYTS) 🌸
WaveTrend 4D (WT4D) is an extension of the incredible WaveTrend 3D (2022, Justin Dehorty) . This oscillator elevates the classic WaveTrend by integrating advanced mathematical models for a multi-dimensional view of market momentum, capturing subtle shifts and trends that traditional indicators might miss. Each oscillator layer uses a combination of normalised derivatives, hyperbolic tangent transformations, and dual-pole filtering (John Ehlers' SuperSmoother), providing normalised and smooth signals with minimised lag.
The name "WaveTrend 4D" is derived from the usage of 4 dimensions, representing different frequencies or timeframes. Next to the "fast", "normal" and "slow" frequency, the fourth frequency is called "lethargic" (very slow). This gives the opportunity utilise more dimensions without having abundant signals, since we quantify and filter the quality of signals.
WT4D strives to help discriminating high-quality signals from the indicator by introducing the Gradient Divergence Measure (GDM) and Quantile Median Crosses (QMC). For simplicity, speed and focus, this particular indicator includes only the QMC part. Check the other 🤲Community Edition of this indicator that focuses on the GDM. For QMC, see below for more information.
🌸 --- QUANTILE MEDIAN CROSSES (QMC) --- 🌸
💮 Introduction
--
A powerful approach when working with WaveTrend is to use the frequencies' crossings of the median (zero) line. This would signify a continuation of the reversal. However, not all of those crossings would be trades with a high probability of success. For this reason, we strive to only consider reversals after the most strong trends start to show weakness. We call these reversals the "Quantile Median Crosses" (QMC), deriving the name from the used methodology.
💮 Methodology
--
To find these "most strong trends", we calculate the integral ("the area") of a frequency between all historical median crosses, and take an upper quantile of those integrals. This means that when the frequency is crossing the median in a period of consolidation, the areas between those crosses would be small. But if there was a strong momentum, and the frequency would separate itself significantly from the median and would do so for a long time, its area would be large.
So after considering all the past integrals, we take the upper quantile of those (i.e. sort all integrals and for example take the top 5%) and if the latest trend's integral was in this upper quantile, it is considered "significant". Hence, the name "quantile" in the name "Quantile Median Cross".
💮 QMC on the Oscillator
--
The QMC is shown as a label "🔴" above the median or with "🟢" below the median. The normal frequency has a "bronze" colour, the slow frequency "silver" and the lethargic is "gold". In addition to the labels, there are also diamond shapes in the same colour drawn on the median in the oscillator. This represents the previous median crossing, and helps the user to see between which two points the integral is calculated.
🌸 --- GOEMONYAE TRADING SYSTEM --- 🌸
As previously mentioned, this indicator is a 📡 Signal Provider, part of the suite of the GoemonYae Trading System (🤲 Community Edition). The greatest value comes from connecting multiple 📡 Signal Providers to the 🧬 Flux Composer to find confluence between signals. Contrary to most other indicators that connect with each other, the signals that are passed are not just binary signals ("buy" or "sell") but pass the actual GDM and QMC values. This gives the opportunity in the 🧬 Flux Composer to more accurately use multiple signals with different strengths to finally give an overall signal. On its turn, the Flux Composer can be connected to the GYTS "🎼 Order Orchestrator" for backtesting and trade automation.
MTF Williams Vix Market Bottoms [CryptoSea]MTF Williams Vix Fix Indicator is a dynamic tool tailored for traders looking to capture market extremes with high precision. This multi-timeframe indicator leverages the concept of the Williams Vix Fix to spot potential reversals before they occur.
Key Features
Multi-Timeframe Analysis: Provides simultaneous visibility across multiple timeframes, enabling traders to assess market conditions comprehensively from a single chart.
Advanced Volatility Detection: Utilizes a modified Vix Fix formula to highlight extreme price deviations, which often precede significant market reversals.
Customizable Settings: Offers extensive input options to tweak the lookback periods, percentile thresholds, and visibility settings, aligning with various trading strategies.
Visual Band Indicators: Features upper bands and range highs that signal potential overbought and oversold conditions, enhancing trading decision-making.
Below, you can see how the indicator performs across different timeframes, providing valuable insights into market behavior.
How it Works
Vix Fix Calculation: Determines the worst-case 'panic' sell-offs in price as a percentage of the high, capturing the emotional extremes of the market.
Statistical Bands: Employs Bollinger bands over the Vix Fix values to define normal and extreme volatility conditions.
Color-Coded Indicators: Uses color differentiation to instantly highlight when readings surpass critical upper band or range high thresholds, signaling key trading opportunities.
For instance, in the analysis provided below, notice how the indicator flags significant market moves, allowing traders to anticipate potential entry or exit points.
Application
Risk Management: Aids in identifying extreme market conditions where prices may revert, helping in effective position sizing and risk management.
Strategic Planning: Enhances strategic trading plans by identifying not only when but also where market extremes may occur, considering multiple timeframes.
Customization: Adapts seamlessly to different market environments with adjustable settings for volatility thresholds and visual display preferences.
The MTF Williams Vix Fix Indicator by is an essential tool for traders aiming to leverage market volatility for optimal entry and exit, ensuring they are well-equipped to handle market extremes with confidence.
Reversal Candlestick Structure [LuxAlgo]The Reversal Candlestick Structure indicator detects multiple candlestick patterns occurring when trends are most likely to experience a reversal in real-time. The reversal detection method includes various settings allowing users to adjust the reversal detection algorithm more precisely.
A dashboard showing the percentage of patterns detected as reversals is also included.
🔶 USAGE
Candlestick patterns are ubiquitous to technical analysts, allowing them to detect trend continuations, reversals, and indecision.
The proposed tool effectively detects reversals by using the confluence between candlestick patterns and a reversal detection method based on the stochastic oscillator, acting as a filter for the patterns. If a candlestick pattern occurs while conditions suggest a potential reversal then the pattern is highlighted.
The displayed candle coloring allows users to observe the reversal detection method, with colored candles indicating potential reversals.
Users wanting to detect longer-term reversals can use a higher "Trend Length" setting, this can however lead to an increased amount of displayed candlestick patterns.
To prevent false positives users also have control over a "Threshold" setting in a range between (0, 100), with values closer to 100 preventing candlesticks from being detected at the start of trends.
The "Warmup Length" serves a similar purpose, and aims to prevent sudden moves to be classified as reversals. Higher values of this setting will require trends to be established for a longer period of time for reversal conditions to be detected.
🔹 Dashboard
To evaluate the role of individual candlestick patterns as potential reversal signals relative to the proposed reversal detection method, a dashboard displaying the percentage of candlestick patterns displayed (that occur when a potential reversal is detected) over the total amount detected.
Hovering on the dashboard cells of the "Reversal %" column allows displaying the total amount of patterns detected.
🔶 CANDLESTICKS PATTERNS
This tool detects 16 popular candlestick patterns, each listed in the sub-sections below.
🔹 Bullish Patterns
Hammer - A bullish reversal pattern that forms after a decline, characterized by a small body at the upper end of the trading range and a long lower shadow.
Inverted Hammer - A bullish reversal pattern that forms after a downtrend, featuring a small body at the lower end of the trading range and a long upper shadow.
Bullish Engulfing - A bullish reversal pattern where a small bearish candlestick is followed by a larger bullish candlestick that completely engulfs the previous candle.
Rising 3 - A bullish continuation pattern that consists of a long bullish candlestick followed by three smaller bearish candlesticks and then another long bullish candlestick.
3 White Soldiers - A bullish reversal pattern consisting of three consecutive long bullish candlesticks, each opening within the previous candle's body and closing higher.
Morning Star - A bullish reversal pattern made up of three candlesticks: a long bearish candlestick, followed by a short candlestick, and then a long bullish candlestick.
Bullish Harami - A bullish reversal pattern where a small bullish candlestick is completely within a previous larger bearish candlestick.
Tweezer Bottom - A bullish reversal pattern identified by an initial bullish candle, followed by a bearish candle, both having equal lows.
🔹 Bearish Patterns
Hanging Man - A bearish reversal pattern that forms after an uptrend, characterized by a small body at the upper end of the trading range and a long lower shadow.
Shooting Star - A bearish reversal pattern that forms after an uptrend, featuring a small body at the lower end of the trading range and a long upper shadow.
Bearish Engulfing - A bearish reversal pattern where a small bullish candlestick is followed by a larger bearish candlestick that completely engulfs the previous candle.
Falling 3 - A bearish continuation pattern that consists of a long bearish candlestick followed by three smaller bullish candlesticks and then another long bearish candlestick.
3 Black Crows - A bearish reversal pattern consisting of three consecutive long bearish candlesticks, each opening within the previous candle's body and closing lower.
Evening Star - A bearish reversal pattern made up of three candlesticks: a long bullish candlestick, followed by a short candlestick, and then a long bearish candlestick.
Bearish Harami - A bearish reversal pattern where a small bearish candlestick is completely within a previous larger bullish candlestick.
Tweezer Top - A bearish reversal pattern is identified by an initial bullish candle, followed by a bearish candle, both having equal highs."
🔶 SETTINGS
🔹 Patterns
Group including toggles for each of the supported candlestick patterns. Enabled toggles will allow detection of the associated candlestick pattern.
🔹 Reversal Detection
Trend Length: Determines the sensitivity of the reversal detection method to shorter-term variation, with higher values returning a detection method more sensitive to longer-term trends.
Threshold: Determines how easy it is for the reversal detection method to consider a trend at an extreme point.
Warmup Length: Warmup period in the reversal detection method, longer values will require a longer-term trend to detect potential reversals.
🔹 Style
Color Candles: Enable candle coloring on the user chart based on the reversal detection method.
Use Gradient: Use a gradient as candle coloring.
Label Size: Size of the labels displaying the detected candlesticks patterns.
🔹 Dashboard
Show Dashboard: Display the dashboard on the user chart when enabled.
Location: Dashboard location on the user chart.
Size: Size of the displayed dashboard.
Jinny Gann ArJinny Gann AR is a comprehensive technical analysis indicator designed to empower traders with the tools to analyze market movements using Gann square of 9 theory. Developed by Magic_xD, this indicator integrates various features inspired by the legendary trader W.D. Gann's methods.
The trading techniques by WD Gann are widely seen as innovative and are still studied and used by traders today. He used angles and various geometric constructions. Gann angles divide time and price into proportionate parts and are often used to predict areas of support and resistance, key tops and bottoms and future price moves. The method is based on the notion that markets rotate from angle to angle and when an angle is broken, price moves towards the next one. Several angles together make up a Gann Fan.
- Jinny Gann AR Might accurately Shows you when and what price might be the end of the Cycle,
-Gives The important pivot points
- This Allows you to Detect Next Level of Resistance/Support And when a Possible Reversal might occur ahead so you can Catch a reversal in time.
- Its Multi Language User interface English - Arabic.
Ability to customize Every thing visually.
Some Features Explained on USOIL Chart :
Gann Square of 9 Levels for USOIL:
Charts Shows and Up Cycle Started 4 May 2023 From bottom of 63.61
Indicating Important Levels and Expected End of 1 Cycle at 99.5 on 25 Sep 2024
Gann Star With Levels And Time Lines :
Vertical Dashed Lines are The time lines
Jinny Gann Grid Based on Shape Type not Static 45 Angle:
Jinny Gann Grid + Levels :
Jinny Gann Fan For Up Cycle:
Jinny Gann Fan Reverse Same Cycle:
Ability To Show Both Up/Reversal Fans on The chart:
The Number of Fann Levels you need on the chart can be customized by changing Shape Type... But Price Will Respect it Pretty Well.
Key Features:
Direction Selection: Choose between "Up" or "Down" to specify the market direction you want to analyze.
Automatic Settings Adjustment: Enable this option to allow the indicator to automatically adjust settings for optimal analysis.
Original Gann Levels: Display original Gann theory levels Based on Gann Square of 9 Equations.
Auto Detect Tops/Bottoms: Determine the number of previous candles used to automatically detect Top or Bottom in the market.
Spacing Configuration: Adjust the spacing or offset between Gann levels to fine-tune your analysis.
Manual Starting Point: Manually set the starting point for your analysis.
Geometric Shape Selection: Choose from various geometric shapes including straight lines, triangles, quadrilaterals, and more...
Custom Angle Selection: Define custom angles for geometric shapes .
Time Interval Selection: Select time intervals such as 360 or 720 Etc...
Cycle Analysis: Determine the number of cycles to analyze market movements effectively.
Decimal Precision: Customize the number of decimal places displayed for accurate analysis.
Automatic Spacing (Under Development): Future feature to automatically select spacing for enhanced user experience.
Time Levels Display: Visualize time levels to gain insights into market timing.
Gann Star Display: Show Gann stars to identify critical market points.
Star Modification: Modify the appearance of Gann stars for better visualization.
Gann Grid Display: Display Gann grids to identify key support and resistance levels.
Grid Extension: Extend Gann grid lines for extended analysis.
Gann Fan Display: Show Gann fans to analyze trend lines and potential reversals.
Reverse Fan Display: Visualize Gann fans in reverse to explore alternative analysis perspectives.
Additional Fan Options: Explore more options for Gann fan analysis.
Time Line Adjustment: Move time lines to the right or left for flexible analysis.
Star Line Extension: Extend Gann star lines for deeper insights.
Fan Line Extension: Extend Gann fan lines for comprehensive trend analysis.
Customizable Colors: Customize colors for various indicators to suit your preference.
Width Adjustment: Adjust the width of trend lines for better visualization.
Label Customization: Customize colors and positions of level and price labels for clarity.
CryptoSea Premium IndicatorCryptoSea Premium Indicator: Enhanced Trading Precision through Advanced Integration
The CryptoSea Premium Indicator is designed to equip traders with a sophisticated tool that synthesizes traditional and modern analytical methods. By integrating proven technical tools with custom enhancements, it aims to provide a deeper, more actionable insight into market dynamics, enhancing the analysis and decision-making process for traders.
Integration and Unique Features:
Support and Resistance Dynamics: Leveraging a blend of standard deviation and moving averages akin to the methodology of Bollinger Bands, this feature dynamically identifies potential market pivot points. It calculates these points based on historical price volatility, which serves as a probabilistic guide to potential price movements, rather than a definitive prediction.
Trend Reversals and Continuations: This function integrates the Relative Strength Index (RSI) with a custom-tailored trend filter that employs shorter cycle moving averages to refine the traditional use of RSI. This enhancement is designed to pinpoint more accurate entry and exit points during trend phases by filtering out market noise and focusing on significant movements, though it does not ensure the avoidance of all false signals.
Smart Trail Closure and New Trends: Utilizing the Average True Range (ATR), this advanced feature dynamically adjusts stop-loss settings according to changes in market volatility. This adaptation seeks to better align stop-loss orders with current market realities, helping to protect against sudden market shifts while allowing traders to capitalize on new trends as they emerge.
Ranging Signals: By employing dual moving averages that calculate the upper and lower bounds of price movements, this feature refines the approach to range-bound trading. It uses statistical measures to adjust these bands in real-time based on the latest market data, enhancing traders' ability to make informed decisions during lateral market movements.
Dynamic Candles: This feature colors candles based on a complex algorithm that assesses immediate price action within the context of longer-term trends. This visual tool aims to simplify market sentiment analysis by providing intuitive color-coded feedback on the prevailing market conditions, thereby assisting traders in quickly assessing the market environment.
Scalping Signals: Generated by a high-frequency trading algorithm that scrutinizes short-term price fluctuations, these signals are designed to aid traders in making swift, informed trading decisions in fast-paced market conditions. They optimize the identification of micro-trends and potential reversal points essential for scalping strategies, though they do not guarantee success in every trade.
Originality and Practical Application:
Each component of the CryptoSea Premium Indicator is carefully selected and integrated to offer a tool that enhances more than the sum of its parts. This integration provides a comprehensive and nuanced view of the market, aiding traders in navigating complex market dynamics more effectively than traditional, single-function indicators.
Disclaimer and Usage Tips:
Trading involves risks. The CryptoSea Premium Indicator should be used as one of several tools in a comprehensive trading strategy. It is intended to supplement, not replace, thorough market analysis and personal due diligence. Past performance is not indicative of future results, and no claims are made regarding the guaranteed accuracy of provided signals.
Crypto Realized Profits/Losses Extremes [AlgoAlpha]🌟🚀 Introducing the Crypto Realized Profits/Losses Extremes Indicator by AlgoAlpha 🚀🌟
Unlock the potential of cryptocurrency markets with our cutting-edge On-Chain Pine Script™ indicator, designed to highlight extreme realized profit and loss zones! 🎯📈
Key Features:
✨ Realized Profits/Losses Calculation: Uses real-time data from the blockchain to monitor profit and loss realization events.
📊 Multi-Crypto Compatibility: The Indicator is compatible on other Crypto tickers besides Bitcoin.
⚙️ Customizable Sensitivity: Adjust the look-back period, normalization period, and deviation thresholds to tailor the indicator to your trading style.
🎨 Visual Enhancements: Choose from a variety of colors for up and down trends, and toggle extreme profit/loss overlay for easy viewing.
🔔 Integrated Alerts: Set up alerts for high and extreme profit or loss conditions, helping you stay ahead of significant market movements.
🔍 How to Use:
🛠 Add the Indicator: Add the indicator to favorites. Customize settings like period lengths and deviation thresholds according to your needs.
📊 Market Analysis: Monitor the main oscillator and the bands to understand current profit and loss extremes in the market. When the oscillator is at the upper band, this means that the market is doing really well and traders/investors will be likely to take profit and cause a reversal. The opposite is true when the oscillator reaches the lower band. The main oscillator can also be used for trend analysis.
🔔 Set Alerts: Configure alerts to notify you when the market enters a zone of high profit or loss, or during trend changes, enabling timely decisions without constant monitoring.
How It Works:
The indicator calculates a normalized area under the RSI curve applied on on-chain data regarding the number of wallets in profit. It employs a custom "src" variable that aggregates data from the blockchain about profit and loss addresses, adapting to intraday or longer timeframes as needed. The main oscillator plots this normalized area, while the upper and lower bands are plotted based on a deviation metric to identify extreme conditions. Colored fills between these bands visually denote these zones. For interaction, the indicator plots bubbles for extreme profits or losses and provides optional bar coloring to reflect the current market trend.
🚀💹 Enjoy a comprehensive, customizable, and visually engaging tool that helps you stay ahead in the fast-paced crypto market!
Trend and Reversal ScannerHello Traders!
The TRN Trend and Reversal Scanner highlights in a user-friendly and easy to read table trend and reversal signals from up to 20 assets of your choosing. With it, you can efficiently monitor your preferred instruments simultaneously without jumping from one chart to the next. You will never miss a signal again. The indicator automatically finds swing-based up and down trends, bullish and bearish divergences, detects ranges and range breakouts as well as trend and reversal signals by the built-in trend detection algorithm called TRN Bars. Furthermore, you can conveniently stay updated with real-time alerts, notifying you whenever the scanner finds interesting market situations.
Feature List
Swing-based up and down trend detection
Divergence detection for any given (Custom) Indicator
Price range and breakout detection
Bar trend and reversal detection
Scanner alerts
The value of this indicator is to support traders to easily identify trend-based signals in an automated way and across many different markets at the same time. The trader saves a lot of time scanning the markets for up and down swings, divergences, consolidations and bar pattern-based trends and reversals, since finding and alerting these signals is done automatically for the trader.
For a visualization of the detected signals, you can add the TRN Bars and the Swing Suite indicator to your chart.
How does Trend Scanner work?
On the right side of the chart, you can find a table displaying the symbols monitored by the TRN Trend and Reversal Scanner for signal detection (first column). The table provides information on the status of each symbol. This visual representation allows you to quickly identify evolving signals across different symbols, helping you stay informed and make timely trading decisions.
The scanner operates specifically on the timeframe you are currently viewing, ensuring that the detected signals align precisely with your trading perspective.
In the following, we will describe the different signals displayed in the different columns of the table
Column 1 – Symbols
Column 2 – Bar Trend & Signals
Column 3 – Up & Down Swing Trend
Column 4 – Ranges & Range Breakouts
Column 5 – Bullish Divergences
Column 6 – Bearish Divergences
Bar Trend & Signals
In the second column, you can observe the status of TRN Bars, the built-in trend detection algorithm.
UP – Uptrend
DN – Downtrend
REV (Green) – Bullish Reversal Bar
REV (Red) – Bearish Reversal Bar
CON (Green) – Bullish Continuation Bar
CON (Red) – Bearish Continuation Bar
B/O (Green) – Bullish Range Breakout Bar
B/O (Red) – Bearish Range Breakout Bar
TRN Bars is designed to spot bullish and bearish trends and reversals. The trend analysis is based on a new algorithm that weights several different inputs:
classical and advanced bar patterns and their statistical frequency
probability distributions of price expansions after certain bar patterns
bar information such as wick length in %, overlapping of the previous bar in % and many more
historical trend and consolidation analysis
It provides high-probability trend continuation analysis and reversal detections.
Up and Downtrend
The second column (Trend) indicates whether the price of the asset moves within an uptrend (UP) or a downtrend (DN), as detected by our unique swing detection algorithm, on the selected timeframe.
The swing detection algorithm identifies pivot points (swings) with high accuracy. It works in real-time and does not need a look-a-head to find swings.
Ranges & Range Breakouts
The third column provides insights into the price behavior of a symbol within the selected timeframe, as analyzed by the range feature of the TRN Bars algorithm.
ACTIVE – Price moves within a price range
UP – Breakout detected
DN – Breakdown detected
UP CONF – Breakout confirmed
DN CONF – Breakdown confirmed
The bar range feature automatically finds consolidations where the price range of several consecutives bars is rather small. The detection of the bar ranges includes among other things the overlapping percentage of these bars.
Divergence Detection for any given (Custom) Indicator
The divergence detector finds with unrivaled precision bullish and bearish as well as regular and hidden divergences. The main difference compared to other divergences indicators is that this indicator finds rigorously the extreme peaks of each swing, both in price and in the corresponding indicator. This precision is unmatched and therefore this is one of the best divergences detectors.
The build in divergence detector works with any given indicator, even custom ones. In addition, there are 11 built-in indicators. Most noticeable is the cumulative delta indicator, which works astonishingly well as a divergence indicator. Full list:
External Indicator (see next section for the setup)
Awesome Oscillator (AO)
Commodity Channel Index (CCI)
Cumulative Delta Volume (CDV)
Chaikin Money Flow (CMF)
Moving Average Convergence Divergence (MACD)
Money Flow Index (MFI)
Momentum
On Balance Volume (OBV)
Relative Strength Index (RSI)
Stochastic
Williams Percentage Range (W%R)
Another highlight of the divergence detection is that it works with every indicator, even custom ones. To do this, you must add the (custom) indicator to your chart. Afterwards, simply go to the “Divergence Detection” section in the indicator settings and choose "External Indicator". If the custom indicator has one reference value, then choose this value in the “External Indicator (High)” field. If there are high and low values (e.g. candles), then you also must set the “External Indicator Low” field.
The visualization of the divergence detection is represented in the fifth column (Div Bull) and the sixth and last column (Div Bear).
REG – Regular divergence detected
HID – Hidden divergence detected
Scanner Alerts
You can opt to receive alerts for the following scenarios:
Detected up and down swings
Detected bullish and bearish divergences
Detected bar trend changes
Confirmed Reversal Bars
Confirmed Continuation Bars
Confirmed ange breakouts
The alert function is activated for all symbols listed in the scanner and corresponds to the timeframe of the chart you are currently viewing. This ensures that you receive alerts specifically tailored to the symbols and timeframe you are interested in.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
