OnChart - ExodusEye - Screener Motivation Behind OnChart ExodusEye Screener:
The goal of the ExodusEye Screener is to provide traders with a quick and efficient way to identify trading opportunities across multiple symbols without manually checking each one. By integrating the powerful logic of OnChart features, the screener aims to streamline the analysis process, helping traders find actionable insights in real-time.
█ Overall Explanation
The ExodusEye Screener is a tool that underlays directly onto the chart, using the logic from various OnChart features. It offers 4 modes of operation:
MagnetZone Mode: Highlights symbols where new strategic zones have formed, indicating potential areas of interest.
CandleSniper Mode: Identifies symbols with bullish or bearish decision points, helping traders spot potential turning moments.
NeonZenith Mode: Displays decision points across four different categories, showing where key levels are being reached live.
Off Mode: Disables the overlay, allowing traders to use the chart without any active screener logic.
█ How to Use:
Modes: Select the mode that aligns with your current strategy. Each mode focuses on a specific aspect of the market, providing insights tailored to different trading approaches.
Symbols: Choose the symbols you want the screener to analyze. The screener will automatically update and show relevant information for each selected symbol based on the active mode.
█ Detailed Feature Explanations:
--------------🎯 CandleSniper --------------
Overview:
The CandleSniper indicator is designed to identify potential turning points in the market by combining various technical analysis tools. It leverages a combination of the MACD indicator, advanced phase analysis technique, and Fibonacci levels to highlight moments where price action may be reversing. This helps traders spot divergence opportunities and set potential target levels.
Explanation
MACD Divergence with Phase Analysis:
The indicator leverages the MACD (Moving Average Convergence Divergence) to identify divergences, which can indicate potential reversal points in the market. The MACD is computed using standard short and long lengths, along with a signal line.
An advanced phase analysis technique is employed to measure the difference between price and its moving averages, enabling the identification of cyclical turning points in the market
A potential bullish decision point is identified when the MACD line crosses above the signal line during a cyclical turning point. Conversely, a potential bearish decision point is identified when the MACD line crosses below the signal line during a cyclical turning point.
Inputs and Settings:
lookbackPeriod: Defines the period over which the indicator looks back to calculate the Fibonacci levels. Adjusting this setting can change the sensitivity of the decision points.
Dimmer and DimmerPeriod: These settings control the smoothing applied to the price data before the phase calculation. They help in reducing noise and ensuring that only significant price movements are considered for decision points.
How to Use:
Traders can use the CandleSniper indicator to identify potential decision points by observing the color changes on the bars and the plotted Fibonacci levels:
🟢 Bullish Decision Points:
When the indicator detects a bullish divergence, it highlights the bars in purple and plots potential upward Fibonacci levels as targets.
🔴 Bearish Decision Points:
When a bearish divergence is detected, the indicator highlights the bars in white and plots downward Fibonacci levels as targets.
These decision points can help traders identify when the market might be ready for a reversal or continuation or even use as a start point from where the trader can start his own analysis
--------------🧲 MagnetZone Horizon --------------
Overview:
The MagnetZone Horizon indicator is a specialized tool designed to identify potential gaps between two significant changes in the Average True Range (ATR). These gaps, calculated dynamically, serve as areas where the price might react, often acting as smart Fair Value Gaps (FVG). By highlighting these zones, traders can gain insights into where the market might find support, resistance, or potential reversal points.
Settings and Their Impact:
Factor: This setting multiplies the ATR to scale the detected gaps. A higher factor results in broader zones, which might capture more significant market movements, while a lower factor creates tighter zones for more precise analysis.
Division: This setting works in conjunction with the Factor to further refine the gap calculations. Adjusting the Division setting allows traders to fine-tune how sensitive the indicator is to ATR changes, which can help in pinpointing more precise smart FVGs.
Use Cases:
Gap Trading:
Traders can use the identified gaps as potential areas to enter or exit trades, particularly if the price approaches these smart FVGs. The idea is to capitalize on the likelihood that the market will react to these gaps.
Reversal Identification:
The zones marked by the MagnetZone Horizon can indicate potential reversal points, especially in volatile markets where significant ATR changes suggest a shift in market sentiment.
Trend Continuation or Rejection:
By monitoring how the price interacts with these dynamically calculated zones, traders can assess whether a trend is likely to continue or reverse, aiding in more informed trading decisions.
The MagnetZone Horizon indicator is particularly useful for traders looking to identify significant gaps in market activity that are influenced by volatility. These smart FVGs provide a deeper understanding of where the market might react, offering a valuable tool for enhancing trading strategies and adds another strategic piece to the puzzle in the OnChart Suite.
--------------🟢NeonZenith Indicator--------------
Overview:
NeonZenith is a tool designed to provide traders with a better understanding of market trends and potential decision points by utilising multiple elements, including EMAs and Fibonacci levels. This indicator identifies key structures in recent price movements, helping traders recognize potential trend shifts and generate target levels for their trading strategies.
Key Features:
Trend Direction Identification:
NeonZenith uses EMAs to help traders gauge the overall trend direction. By analysing the relationship between different EMAs, the tool highlights potential points where trends may strengthen or reverse, offering decision points for traders to consider in their strategies.
Decision Points:
The tool generates decision points based on EMA interactions, providing traders with crucial levels that may indicate potential market entries or exits. These decision points are derived from the intersection of EMAs, which are known for their reliability in identifying trend shifts.
Settings:
Left and Right Border Width:
These settings control the lookback period for identifying significant price structures. By adjusting these parameters, traders can fine-tune the sensitivity of the indicator to recent price movements.
█ Conclusion
The OnChart ExodusEye Screener simplifies the process of finding trading opportunities by using the logic of OnChart's indicators. By providing real-time insights directly on the chart, it helps traders quickly identify potential setups across multiple symbols.
Educational
FloWave Oscillator [StabTrading]The FloWave Oscillator is a powerful trading tool designed to identify market trends and reversals by analysing reversal zones based on momentum and fear algorithms.
Serving as the first stage in a comprehensive trading system, it is intentionally straightforward, allowing traders to clearly see potential entry points across all charts and timeframes.
By inputting their own market sentiment, traders can customize the algorithm to align with their trading style. This flexibility helps traders navigate complex market environments with greater precision, whether they are seeking to capitalize on short-term opportunities or ride longer-term trends.
💡 Features
Reversal Zones - The FloWave Oscillator identifies key reversal zones driven by momentum and fear dynamics. Lighter green zones signal the initial stages of a potential reversal, while darker green zones indicate that a trend flip is imminent.
Trading Style Customization - The indicator allows traders to adjust their trading style with sensitivity settings ranging from Very Aggressive to Very Conservative. This flexibility lets traders tailor the indicator to their preferred time horizon—whether they seek to scalp short-term opportunities or capture long-term reversals.
🔥 Sensitivity Settings
Very Aggressive/Aggressive - These settings increase the indicator's sensitivity, generating more frequent signals, ideal for traders focused on short-term gains or those navigating choppy markets.
Neutral - Offers a balanced approach, combining both aggressive and conservative elements. It's a starting point for traders to evaluate performance before adjusting to more specific styles.
Conservative/Very Conservative - These settings reduce signal frequency, focusing on stronger, more reliable reversals. Best suited for long-term traders aiming to minimize risk and avoid premature market entries or exits.
🛠️ Usage/Practice
In the above example we’ll analysis how the indicator accurately predicts both the tops and bottoms of a market cycle.
Top of the Bull Market - The trendline initially shows two light red reversal zones, signalling a potential weakening in the upward momentum. As the trend progresses, a dark red zone emerges, confirming that a more substantial trend reversal to the downside is likely. This sequence provides an early warning, allowing traders to prepare for a possible market shift.
First Bull Signal - In the following phase, the indicator mirrors the previous action but in the opposite direction, identifying a reversal towards the upside. This behaviour demonstrates the indicator's ability to adapt to changing market conditions.
Bottom of the Bear Market - As the market continues its downward trajectory, the indicator presents two dark green reversal zones, highlighting areas where the selling pressure may be easing. These dark green zones offer three distinct opportunities to dollar-cost average (DCA) into the asset, allowing traders to build or enhance their positions during the end of the bear cycle. The indicator’s sensitivity in this phase ensures that traders can navigate the bearish market with confidence.
Continuation of Bull Cycle - In this segment, the indicator does not display any dark green reversal zones, implying that the uptrend remains robust. The absence of these zones suggests that the upward momentum is likely to continue, providing traders with another opportunity to add to their long positions. This scenario underscores the indicator’s capacity to identify when a trend is strong enough to warrant additional investment.
Potential Correction in an Uptrend - A light red zone appears, signalling a possible correction within the ongoing uptrend. However, the absence of a dark red zone indicates that the correction may be minor and that the overall trend is still upward. Traders might view this as a conservative point to take some profits off the table, managing risk while staying aligned with the broader bull market.
Bearish Signal - Eventually, a dark red reversal zone emerges, indicating that the trend has lost its upward momentum. This signal serves as a strong indicator that the uptrend may be concluding, prompting traders to consider exiting their positions or taking a more defensive stance. As the market enters a sideways phase, the trader can switch to a more aggressive trading style, seeking opportunities to scalp within the range while navigating the flat market conditions.
In this example, we demonstrate how to identify scalp trading opportunities by combining the Very Conservative and Very Aggressive settings. The key strategy is to use the Very Conservative trend to confirm the validity of reversal zones identified by the Very Aggressive setting.
The VC trend doesn’t indicate a buy reversal zone, but it shows an upward divergence. This suggests that the reversal buy zone on the VA chart is a potential entry point due to the supportive VC trend.
Multiple sell zones appear on the VA chart, but the VC trend shows a strong and steady uptrend. This suggests that we should wait for confirmation from the VC trend before considering a sell position, as the market is still moving upward strongly.
The VA chart shows several buy zones, but the VC trend indicates a strong downtrend, and no buy zone appears on the conservative setting. This suggests waiting for the next VA buy zone, confirmed by an upward divergence on the VC trend, before entering a trade.
Similar to Point 3 but in the opposite direction, the VA chart shows sell zones, but the VC trend indicates caution. The strategy would be to wait for confirmation from the VC trend before making a move.
🔶Conclusion
When used in conjunction with other indicators like the MeanRevert Matrix, the FloWave Oscillator becomes an integral part of a comprehensive trading system. It helps traders make informed decisions by providing clear signals that are aligned with the current market sentiment and broader economic trends. By following the implementation guidelines and adjusting the indicator settings as market conditions change, traders can effectively enhance their trading performance.
Adaptive RSI-Stoch with Butterworth Filter [UAlgo]The Adaptive RSI-Stoch with Butterworth Filter is a technical indicator designed to combine the strengths of the Relative Strength Index (RSI), Stochastic Oscillator, and a Butterworth Filter to provide a smooth and adaptive momentum-based trading signal. This custom-built indicator leverages the RSI to measure market momentum, applies Stochastic calculations for overbought/oversold conditions, and incorporates a Butterworth Filter to reduce noise and smooth out price movements for enhanced signal reliability.
By utilizing these combined methods, this indicator aims to help traders identify potential market reversal points, momentum shifts, and overbought/oversold conditions with greater precision, while minimizing false signals in volatile markets.
🔶 Key Features
Adaptive RSI and Stochastic Oscillator: Calculates RSI using a configurable period and applies a dual-smoothing mechanism with Stochastic Oscillator values (K and D lines).
Helps in identifying momentum strength and potential trend reversals.
Butterworth Filter: An advanced signal processing filter that reduces noise and smooths out the indicator values for better trend identification.
The filter can be enabled or disabled based on user preferences.
Customizable Parameters: Flexibility to adjust the length of RSI, the smoothing factors for Stochastic (K and D values), and the Butterworth Filter period.
🔶 Interpreting the Indicator
RSI & Stochastic Calculations:
The RSI is calculated based on the closing price over the user-defined period, and further smoothed to generate Stochastic Oscillator values.
The K and D values of the Stochastic Oscillator provide insights into short-term overbought or oversold conditions.
Butterworth Filter Application:
What is Butterworth Filter and How It Works?
The Butterworth Filter is a type of signal processing filter that is designed to have a maximally flat frequency response in the passband, meaning it doesn’t distort the frequency components of the signal within the desired range. It is widely used in digital signal processing and technical analysis to smooth noisy data while preserving the important trends in the underlying data. In this indicator, the Butterworth Filter is applied to the trigger value, making the resulting signal smoother and more stable by filtering out short-term fluctuations or noise in price data.
Key Concepts Behind the Butterworth Filter:
Filter Design: The Butterworth filter works by calculating weighted averages of current and past inputs (price or indicator values) and outputs to produce a smooth output. It is characterized by the absence of ripple in the passband and a smooth roll-off after the cutoff frequency.
Cutoff Frequency: The period specified in the indicator acts as a control for the cutoff frequency. A higher period means the filter will remove more high-frequency noise and retain longer-term trends, while a lower period means it will respond more to short-term fluctuations in the data.
Smoothing Process: In this script, the Butterworth Filter is calculated recursively using the following formula,
butterworth_filter(series float input, int period) =>
float wc = math.tan(math.pi / period)
float k1 = 1.414 * wc
float k2 = wc * wc
float a0 = k2 / (1 + k1 + k2)
float a1 = 2 * a0
float a2 = a0
float b1 = 2 * (k2 - 1) / (1 + k1 + k2)
float b2 = (1 - k1 + k2) / (1 + k1 + k2)
wc: This is the angular frequency, derived from the period input.
k1 and k2: These are intermediate coefficients used in the filter calculation.
a0, a1, a2: These are the feedforward coefficients, which determine how much of the current and past input values will contribute to the filtered output.
b1, b2: These are feedback coefficients, which determine how much of the past output values will contribute to the current output, effectively allowing the filter to "remember" past behavior and smooth the signal.
Recursive Calculation: The filter operates by taking into account not only the current input value but also the previous two input values and the previous two output values. This recursive nature helps it smooth the signal by blending the recent past data with the current data.
float filtered_value = a0 * input + a1 * prev_input1 + a2 * prev_input2
filtered_value -= b1 * prev_output1 + b2 * prev_output2
input: The current input value, which could be the trigger value in this case.
prev_input1, prev_input2: The previous two input values.
prev_output1, prev_output2: The previous two output values.
This means the current filtered value is determined by the combination of:
A weighted sum of the current input and the last two inputs.
A correction based on the last two output values to ensure smoothness and remove noise.
In conclusion when filter is enabled, the Butterworth Filter smooths the RSI and Stochastic values to reduce market noise and highlight significant momentum shifts.
The filtered trigger value (post-Butterworth) provides a cleaner representation of the market's momentum.
Cross Signals for Trade Entries:
Buy Signal: A bullish crossover of the K value above the D value, particularly when the values are below 40 and when the Stochastic trigger is below 1 and the filtered trigger is below 35.
Sell Signal: A bearish crossunder of the K value below the D value, particularly when the values are above 60 and when the Stochastic trigger is above 99 and the filtered trigger is above 90.
These signals are plotted visually on the chart for easy identification of potential trading opportunities.
Overbought and Oversold Zones:
The indicator highlights the overbought zone when the filtered trigger surpasses a specific threshold (typically above 100) and the oversold zone when it drops below 0.
The color-coded fill areas between the Stochastic and trigger lines help visualize when the market may be overbought (likely a reversal down) or oversold (potential reversal up).
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
OnChart - SuiteThe Motivation Behind OnChart Suite
In the dynamic world of trading, the ability to interpret market trends and make timely decisions is paramount. OnChart Suite was developed to empower traders by offering a comprehensive suite of tools that combine advanced analysis with intuitive user experience. The goal is to support traders in navigating complex market environments, helping them refine their strategies and gain a deeper understanding of price movements.
█ Key Features
🤖 ApexAlphaClouds: Identifies potential price rejections or breakthroughs by analyzing dynamic price ranges.
🔢 Matrix Algo: Offers multi-timeframe trend sentiment analysis using key market indicators.
🎯 CandleSniper: Detects key decision points based on phase calculation and Fibonacci levels.
🧲 MagnetZone Horizon: Highlights strategic price zones that can act as smart FVGs.
🟢 NeonZenith: Combines trend analysis with decision points and Fibonacci targets.
█ How These Tools Work Together
OnChart Suite integrates each of these powerful tools to provide traders with a comprehensive analysis framework. By combining the ApexAlphaClouds for price movement intuition, the Matrix Algo for trend sentiment, the CandleSniper for decision points, the MagnetZone Horizon for strategic price zones, and the NeonZenith for trend and target analysis, traders can develop robust trading strategies. This integration ensures that traders have access to multiple perspectives on market conditions, enhancing their ability to make calculated decisions.
█ Detailed Feature Explanations:
--------------🤖 ApexAlphaClouds --------------
How the Tool Can Help Traders
The `ApexAlphaClouds` indicator is designed to assist traders by identifying dynamic price ranges where the market tends to consolidate, which are critical for making informed trading decisions. The tool uses an ML algorithm to analyze high-price data over a set period and determines key levels on the chart, which are visualized as "clouds." These clouds represent potential support and resistance areas, where price action is likely to pause, reverse, or experience increased volatility.
The primary benefit for traders is the ability to identify these key zones in real-time, allowing them to anticipate potential market movements and plan trades accordingly. For example, if a trader sees that price is approaching a cloud boundary, they might expect a reversal or a breakout, depending on the broader market context. This can be particularly useful in range-bound markets or when looking for potential entry and exit points in trending markets.
How Traders Can Use the Indicator
Identifying Support and Resistance:
The clouds plotted by the `ApexAlphaClouds` indicator can be used to identify dynamic support and resistance levels. Traders can watch how the price reacts when it enters these clouds. If the price bounces off a lower cloud, it may suggest support, while a rejection from an upper could indicate resistance.
Trend Reversals and Continuations:
The indicator's middle cloud can help identify potential trend reversals. If price moves through the middle cloud and continues in the same direction, it could indicate a trend continuation. Conversely, if price reverses within the middle cloud, it might signal a potential trend reversal.
Volatility and Breakouts:
The distance between the upper and lower clouds can give traders an idea of market volatility. Narrow clouds suggest low volatility, which may precede a breakout, while wide clouds indicate higher volatility, where prices might oscillate within the range.
Settings Input and Their Effects
’ApexAlphaClouds` (Toggle) -This setting allows the trader to enable or disable the `ApexAlphaClouds` indicator on their chart.
Effect: When enabled, the clouds representing dynamic price ranges will be displayed on the chart. Disabling this will hide the indicator’s outputs.
Target Area Size - This setting determines the number of bars (length) the algorithm considers when collecting high prices for clustering.
Effect: A larger value will make the indicator consider a broader historical range, potentially smoothing out the clouds and identifying longer-term price ranges. A smaller value will focus on more recent price action, which might be useful for short-term trading strategies.
Accuracy - This setting specifies the number of groups that the algorithm will try to identify within the selected data range.
Effect: A higher value increases the number of identified clusters, making the indicator more sensitive to minor fluctuations in price. This can be useful for traders looking to identify multiple potential reversal points. A lower value will focus on the most prominent price clusters, which may be more relevant for long-term analysis.
Maximum Calibration - This setting controls the maximum number of iterations the machine learning algorithm will perform to find the optimal clusters.
Effect: Increasing allows the algorithm more time to refine the clusters, potentially leading to more accurate and stable clouds. However, it may also increase the computation time. Decreasing this value may speed up the process but could result in less accurate clustering.
Wide Range Calibration - This setting determines the maximum number of bars the algorithm will consider when applying the clustering.
Effect: A larger value allows the algorithm to analyse a wider range of historical data, which can help identify significant long-term price ranges. A smaller value will limit the analysis to more recent data, which might be preferable for traders focused on short-term movements.
Smoothing Factor - This setting applies a smoothing function to the clouds, reducing noise and making the price ranges more visually consistent.
Effect :A higher smoothing factor will produce smoother, more consistent clouds, which might be beneficial in volatile markets to avoid false signals. A lower smoothing factor will make the clouds more responsive to recent price changes, which could be useful for scalping or short-term trading strategies.
Usage Scenarios
Scalping:
Traders using short-term strategies might set Accuracy to a smaller value and reduce the Smoothing Factor to make the clouds more responsive to recent price action. This helps in identifying quick reversal points.
Swing Trading:
Swing traders could use a larger Target Area Size and increase Accuracy to identify key price ranges that have held over longer periods. Adjusting Wide Range Calibration to a higher value allows them to consider broader historical trends.
Trend Following:
By observing how price interacts with the clouds, trend-following traders can look for breakouts or breakdowns from the clouds to confirm entry points in the direction of the trend.
Volatility Management:
Traders can monitor the width of the clouds to gauge market volatility and adjust their strategies accordingly, tightening stops in narrow cloud ranges or widening them in broader ranges.
Conclusion
The `ApexAlphaClouds` indicator is a powerful tool for traders looking to analyze price action with a focus on dynamic price ranges. By understanding and utilizing the settings, traders can customize the indicator to fit their specific trading strategies, whether they are scalping, swing trading, or trend following. The key is to adjust the inputs based on the market context and trading goals, using the clouds as a visual guide to anticipate market movements and make informed decisions.
--------------🔢 Matrix Algo --------------
Matrix Algo is a multi-timeframe (MTF) tool designed to provide traders with a comprehensive view of market conditions across different timeframes using a combination of popular technical indicators. The indicator aggregates data from RSI, MACD, and Bollinger Bands across multiple timeframes, presenting this information in a matrix format to help traders make informed decisions based on a complete market overview. This allows traders to quickly assess the overall market sentiment and trend direction without having to manually check each indicator on different timeframes. By offering a bird’s-eye view of the market conditions.
How Traders Can Use Matrix Algo?
Identify Trends and Reversals: By analysing the matrix, traders can identify whether the market is bullish, bearish, or in consolidation across different timeframes.
Confirm Signals: The Matrix Algo can confirm signals from other trading strategies by providing additional context from multiple indicators across several timeframes.
Settings:
Toggle individual timeframes - (Monthly, Weekly, 3D, Daily, 4h, etc.) to include or exclude from the matrix.
Effect: The matrix displays whether the market conditions are favorable (green) or unfavorable (red) for each indicator and timeframe combination. This color-coded information helps traders quickly assess the market situation.
--------------🎯 CandleSniper --------------
Overview:
The CandleSniper indicator is designed to identify potential turning points in the market by combining various technical analysis tools. It leverages a combination of the MACD indicator, advanced phase analysis technique, and Fibonacci levels to highlight moments where price action may be reversing. This helps traders spot divergence opportunities and set potential target levels.
Explanation
MACD Divergence with Phase Analysis:
The indicator leverages the MACD (Moving Average Convergence Divergence) to identify divergences, which can indicate potential reversal points in the market. The MACD is computed using standard short and long lengths, along with a signal line.
An advanced phase analysis technique is employed to measure the difference between price and its moving averages, enabling the identification of cyclical turning points in the market
A potential bullish decision point is identified when the MACD line crosses above the signal line during a cyclical turning point. Conversely, a potential bearish decision point is identified when the MACD line crosses below the signal line during a cyclical turning point.
Fibonacci Levels for Targeting:
The indicator calculates Fibonacci extension levels based on recent price swings to provide target levels for potential price movements.
For a bullish setup, the indicator identifies levels above the current price as potential targets, while for a bearish setup, it identifies levels below the current price.
Fib Filter Line:
The Fib Filter Line is represented in purple for bullish turning points and white for bearish turning points. These lines serve as additional filters to help traders identify stronger, more reliable turning points in the market. Designed for those who prefer a more conservative approach, the Fib Filter Line offers an extra layer of confirmation based on price movements, allowing traders to filter out weaker signals and focus on more significant market shifts.
Inputs and Settings:
lookbackPeriod: Defines the period over which the indicator looks back to calculate the Fibonacci levels. Adjusting this setting can change the sensitivity of the decision points.
Dimmer and DimmerPeriod: These settings control the smoothing applied to the price data before the phase calculation. They help in reducing noise and ensuring that only significant price movements are considered for decision points.
How to Use:
Traders can use the CandleSniper indicator to identify potential decision points by observing the color changes on the bars and the plotted Fibonacci levels:
🟢 Bullish Decision Points:
When the indicator detects a bullish divergence, it highlights the bars in purple and plots potential upward Fibonacci levels as targets.
🔴 Bearish Decision Points:
When a bearish divergence is detected, the indicator highlights the bars in white and plots downward Fibonacci levels as targets.
These decision points can help traders identify when the market might be ready for a reversal or continuation or even use as a start point from where the trader can start his own analysis
Combining with Other Tools
The CandleSniper indicator can be combined with other OnChart tools to create a comprehensive trading framework:
🔢 Matrix Algo:
Use Matrix Algo to assess the overall market sentiment across multiple timeframes, then apply CandleSniper for pinpointing specific entry or exit points.
🤖 ApexAlphaClouds:
Overlay ApexAlphaClouds to visualise dynamic price ranges, using CandleSniper to identify decision points within these ranges.
This combination allows traders to develop a robust trading strategy that considers broader market trends and specific price action signal intuition.
--------------🧲 MagnetZone Horizon --------------
Overview:
The MagnetZone Horizon indicator is a specialized tool designed to identify potential gaps between two significant changes in the Average True Range (ATR). These gaps, calculated dynamically, serve as areas where the price might react, often acting as smart Fair Value Gaps (FVG). By highlighting these zones, traders can gain insights into where the market might find support, resistance, or potential reversal points.
How Traders Can Use This Indicator:
Identifying Smart Fair Value Gaps:
The MagnetZone Horizon indicator helps traders locate gaps between ATR shifts that are likely to act as significant decision points. These gaps can indicate areas where price corrections or consolidations might occur, providing opportunities for strategic entries or exits.
Adaptive Support and Resistance:
The levels calculated by the indicator adjust according to market volatility, offering dynamic support and resistance zones. These zones are particularly useful in identifying potential reversals or continuation patterns.
Volatility-Based Trading:
Since the indicator bases its calculations on ATR, it inherently adjusts to market conditions, allowing traders to align their strategies with the current level of volatility. This adaptability makes it suitable for both trending and range-bound markets.
Settings and Their Impact:
MagnetZone Horizon (Enable/Disable): This toggle allows traders to activate or deactivate the visualization of the MagnetZone Horizon on their charts.
Factor: This setting multiplies the ATR to scale the detected gaps. A higher factor results in broader zones, which might capture more significant market movements, while a lower factor creates tighter zones for more precise analysis.
Factor=5
Factor=7
Division: This setting works in conjunction with the Factor to further refine the gap calculations. Adjusting the Division setting allows traders to fine-tune how sensitive the indicator is to ATR changes, which can help in pinpointing more precise smart FVGs.
Use Cases:
Gap Trading:
Traders can use the identified gaps as potential areas to enter or exit trades, particularly if the price approaches these smart FVGs. The idea is to capitalize on the likelihood that the market will react to these gaps.
Reversal Identification:
The zones marked by the MagnetZone Horizon can indicate potential reversal points, especially in volatile markets where significant ATR changes suggest a shift in market sentiment.
Trend Continuation or Rejection:
By monitoring how the price interacts with these dynamically calculated zones, traders can assess whether a trend is likely to continue or reverse, aiding in more informed trading decisions.
The MagnetZone Horizon indicator is particularly useful for traders looking to identify significant gaps in market activity that are influenced by volatility. These smart FVGs provide a deeper understanding of where the market might react, offering a valuable tool for enhancing trading strategies and adds another strategic piece to the puzzle in the OnChart Suite.
--------------🟢NeonZenith Indicator--------------
Overview:
NeonZenith is a tool designed to provide traders with a better understanding of market trends and potential decision points by utilising multiple elements, including EMAs and Fibonacci levels. This indicator identifies key structures in recent price movements, helping traders recognize potential trend shifts and generate target levels for their trading strategies. Additionally, NeonZenith incorporates elements from the ApexAlphaCloud to enhance the interpretation of market sentiment, particularly regarding price rejections or breakthroughs.
Key Features:
Trend Direction Identification:
NeonZenith uses EMAs to help traders gauge the overall trend direction. By analysing the relationship between different EMAs, the tool highlights potential points where trends may strengthen or reverse, offering decision points for traders to consider in their strategies.
Decision Points:
The tool generates decision points based on EMA interactions, providing traders with crucial levels that may indicate potential market entries or exits. These decision points are derived from the intersection of EMAs, which are known for their reliability in identifying trend shifts.
Fibonacci Target Levels:
Based on the identified price structures, NeonZenith calculates Fibonacci levels that serve as potential target areas. These levels help traders set realistic goals for their trades, whether they are looking to take profits or manage risks effectively.
ApexAlphaCloud Integration:
The tool integrates a middle cloud from the ApexAlphaCloud, which helps traders anticipate potential price rejections or breakthroughs. This cloud provides additional context to the trend analysis, enhancing traders' ability to gauge the market's sentiment and make them think about potential price movements.
Settings:
Left and Right Border Width:
These settings control the lookback period for identifying significant price structures. By adjusting these parameters, traders can fine-tune the sensitivity of the indicator to recent price movements.
Fibonacci Calculation:
The tool calculates Fibonacci levels based on recent lows and highs, offering multiple targets for both long and short positions. These targets include various levels that traders can use to plan their entry, take-profit, and stop-loss orders.
Plotting and Visualization:
NeonZenith provides clear visual cues on the chart, including shapes and labels to mark significant decision points and target areas. These visual elements help traders quickly interpret the information provided by the indicator and apply it to their trading strategies.
How to Use NeonZenith:
Trend Identification:
Use the tool to identify the current trend direction by observing the interaction between the EMAs ,the flag sign and triangle, flag represent general trend changes and the triangle represents minor and inside trend changes.
Fibonacci Levels:
Use the generated Fibonacci levels to set target areas for your trades. These levels can guide you in deciding where to take profits or place stop-loss orders.
Sentiment Gauge:
Utilise the middle cloud from the ApexAlphaCloud to assess potential price rejections or breakthroughs. This feature provides additional insight into the strength of the current trend and helps you anticipate possible market reversals.
Conclusion:
NeonZenith is a versatile and simple tool designed to support traders in understanding market trends, identifying decision points, and setting realistic targets based on Fibonacci levels. Its integration with the ApexAlphaCloud enhances the tool's ability to provide a comprehensive view of market sentiment, making it a valuable addition to any trader's toolkit.
Sinc MAKaiser Windowed Sinc Moving Average Indicator
The Kaiser Windowed Sinc Moving Average is an advanced technical indicator that combines the sinc function with the Kaiser window to create a highly customizable finite impulse response (FIR) filter for financial time series analysis.
Sinc Function: The Ideal Low-Pass Filter
At the core of this indicator is the sinc function, which represents the impulse response of an ideal low-pass filter. In signal processing and technical analysis, the sinc function is crucial because it allows for the creation of filters with precise frequency cutoff characteristics. When applied to financial data, this means the ability to separate long-term trends from short-term fluctuations with remarkable accuracy.
The primary advantage of using a sinc-based filter is the independent control over two critical parameters: the cutoff frequency and the number of samples used. The cutoff frequency, analogous to the "length" in traditional moving averages, determines which price movements are considered significant (low frequency) and which are treated as noise (high frequency). By adjusting the cutoff, analysts can fine-tune the filter to respond to specific market cycles or timeframes of interest.
The number of samples used in the filter doesn't affect the cutoff frequency but instead influences the filter's accuracy and steepness. Increasing the sample size results in a better approximation of the ideal low-pass filter, leading to sharper transitions between passed and attenuated frequencies. This allows for more precise trend identification and noise reduction without changing the fundamental frequency response characteristics.
Kaiser Window: Optimizing the Sinc Filter
While the sinc function provides excellent frequency domain characteristics, it has infinite length in the time domain, which is impractical for real-world applications. This is where the Kaiser window comes into play. By applying the Kaiser window to the sinc function, we create a finite-length filter that approximates the ideal response while minimizing unwanted oscillations (known as the Gibbs phenomenon) in the frequency domain.
The Kaiser window introduces an additional parameter, alpha, which controls the trade-off between the main-lobe width and side-lobe levels in the frequency response. This parameter allows users to fine-tune the filter's behavior, balancing between sharp cutoffs and minimal ripple effects.
Customizable Parameters
The Kaiser Windowed Sinc Moving Average offers several key parameters for customization:
Cutoff: Controls the filter's cutoff frequency, determining the divide between trends and noise.
Length: Sets the number of samples used in the FIR filter calculation, affecting the filter's accuracy and computational complexity.
Alpha: Influences the shape of the Kaiser window, allowing for fine-tuning of the filter's frequency response characteristics.
Centered and Non-Centered Modes
The indicator provides two operational modes:
Non-Centered (Real-time) Mode: Uses half of the windowed sinc function, suitable for real-time analysis and current market conditions.
Centered Mode: Utilizes the full windowed sinc function, resulting in a zero-phase filter. This mode introduces a delay but offers the most accurate trend identification for historical analysis.
Visualization Features
To enhance the analytical value of the indicator, several visualization options are included:
Gradient Coloring: Offers a range of color schemes to represent trend direction and strength.
Glow Effect: An optional visual enhancement for improved line visibility.
Background Fill: Highlights the area between the moving average and price, aiding in trend visualization.
Applications in Technical Analysis
The Kaiser Windowed Sinc Moving Average is particularly useful for precise trend identification, cycle analysis, and noise reduction in financial time series. Its ability to create custom low-pass filters with independent control over cutoff and filter accuracy makes it a powerful tool for analyzing various market conditions and timeframes.
Compared to traditional moving averages, this indicator offers superior frequency response characteristics and reduced lag in trend identification when properly tuned. It provides greater flexibility in filter design, allowing analysts to create moving averages tailored to specific trading strategies or market behaviors.
Conclusion
The Kaiser Windowed Sinc Moving Average represents an advanced approach to price smoothing and trend identification in technical analysis. By making the ideal low-pass filter characteristics of the sinc function practically applicable through Kaiser windowing, this indicator provides traders and analysts with a sophisticated tool for examining price trends and cycles.
Its implementation in Pine Script contributes to the TradingView community by making advanced signal processing techniques accessible for experimentation and further development in technical analysis. This indicator serves not only as a practical tool for market analysis but also as an educational resource for those interested in the intersection of signal processing and financial markets.
Related script:
Deep Crab Harmonic Pattern [TradingFinder] Reversal Zones🔵 Introduction
The Deep Crab pattern is a 5-point extension harmonic structure (X-A-B-C-D) used in technical analysis to identify potential reversal points in financial markets. Like the original Crab pattern, it heavily relies on a 1.618 XA projection to form the Potential Reversal Zone (PRZ).
However, the key difference lies in the B point, which must be an 0.886 retracement of the XA leg. The D point in this pattern typically extends beyond the X point, signaling a strong potential reversal in price movement.
Bullish Deep Crab :
The Bullish Deep Crab is a pattern used in technical analysis to spot potential trend reversals. It signals a shift from a downtrend to an uptrend. Traders enter a buy position at the D point and set a stop-loss below point X, anticipating a price increase.
Bearish Deep Crab :
The Bearish Deep Crab is a reversal pattern that indicates the potential end of an uptrend. Traders enter a sell position at point D and set a stop-loss above point X, expecting the price to fall afterward.
🟣 Crab Vs Deep Crab
The Crab and Deep Crab patterns are both used to identify reversal points in technical analysis, but they differ in terms of correction depth :
Crab : The B point retraces between 38.2% to 61.8% of the XA leg, and point D extends beyond X, indicating a price reversal after a smaller correction.
Deep Crab : The B point retraces more deeply, around 88.6% of the XA leg, and point D has a stronger extension, signaling a reversal after a deeper correction.
The Deep Crab is more suited for identifying stronger price movements.
🔵 How to Use
To effectively use the Deep Crab pattern, it’s essential to correctly identify its five key points (X, A, B, C, and D) based on Fibonacci retracements and extensions. Traders look for a deep retracement at point B, followed by an extended move to point D, which typically signals a strong price reversal.
Once these points are established, traders can strategically enter positions at point D with appropriate stop-loss and take-profit levels, capitalizing on the anticipated market reversal. Proper use of Fibonacci tools is crucial for accurate pattern identification.
🟣 Bullish Deep Crab
To use the Bullish Deep Crab pattern, a trader identifies point D as the key price reversal point in a downtrend. Using Fibonacci tools, points X, A, B, and C are identified, with point B showing an 88.6% retracement of XA, and CD extending 1.618% of XA.
The trader enters a buy position at point D and sets a stop-loss below X, expecting a reversal from a downtrend to an uptrend.
🟣 Bearish Deep Crab
In the Bearish Deep Crab pattern, point D acts as the reversal point in an uptrend. After identifying points X, A, B, and C, D extends 1.618% of XA. Point B retraces 88.6% of XA. Traders enter a sell position at point D and place a stop-loss above X, anticipating a drop in price.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Deep Crab pattern is a valuable reversal tool in technical analysis, known for its deep retracement and extended price movements.
Unlike other harmonic patterns, it emphasizes identifying critical points where price action is likely to reverse sharply. This pattern works well in both bullish and bearish market scenarios, offering clear signals for entry and exit points.
However, successful application requires a deep understanding of market behavior and precise use of technical tools like Fibonacci retracement. Overall, mastering this pattern can enhance trading strategies and risk management.
Password Generator by Chervolino [CHE]Enhancing Password Security with Pine Script: A Deep Dive into Brute-Force Attack Prevention
1. Introduction: The Importance of Password Security
Why Password Security Matters:
In today’s digital age, protecting sensitive information through strong passwords is vital. Weak passwords are vulnerable to brute-force attacks, where attackers try every possible character combination until they guess the correct one.
What is Pine Script?
Pine Script is a scripting language developed by TradingView. While mainly used for financial analysis and strategy creation, its versatility allows us to explore other domains, such as password generation and security analysis.
2. Understanding Brute-Force Attacks
What is a Brute-Force Attack?
A brute-force attack systematically tries every possible combination of characters until the correct password is found. The longer and more complex the password, the more secure it is.
Types of Characters in Passwords:
Lowercase Letters (26 characters): Examples include 'a' to 'z'.
Uppercase Letters (26 characters): Examples include 'A' to 'Z'.
Digits (10 characters): Examples include '0' to '9'.
Special Characters: Characters such as '!@#$%^&*' add further complexity to a password.
3. The Role of Password Length in Security
Why Does Password Length Matter?
The number of possible combinations grows exponentially as the length of the password increases.
For example, a password made of only lowercase letters has 26 possible characters. A 7-character password in this case has 26 raised to the power of 7 possible combinations, which equals about 8 billion possibilities.
In comparison, if uppercase letters are included, the possible combinations jump to 52 raised to the power of 7, resulting in over 1 trillion combinations.
Time to Crack a Password:
Assuming a computer can test 2.15 billion passwords per second:
A 7-character password with only lowercase letters can be cracked in about 3.74 seconds.
If uppercase letters are added, it takes approximately 8 minutes.
Adding numbers and special characters makes the cracking time increase further to hours or even days.
4. Password Strength Analysis Using Pine Script
How Pine Script Helps in Password Analysis:
Pine Script can simulate password strength by generating random passwords and calculating how long it would take for a brute-force attack to crack them based on different character combinations and lengths.
We can experiment with using different types of characters (uppercase, lowercase, digits, special characters) and varying the length of the password to estimate the security.
For example:
A password consisting only of lowercase letters would take just a few seconds to crack.
By adding uppercase letters, the time increases to several minutes.
Including digits and special characters can make a password secure for many hours, or even days, depending on the length.
5. Results: Time to Crack Passwords
Here’s a textual summary of how different passwords can be cracked based on their composition and length:
Password with Lowercase Letters Only:
Length: 8 characters
Time to Crack: Less than 1 second.
Password with Uppercase and Lowercase Letters:
Length: 8 characters
Time to Crack: Approximately 24 hours.
Password with Uppercase, Lowercase, and Digits:
Length: 8 characters
Time to Crack: Around 27 minutes.
Password with Uppercase, Lowercase, Digits, and Special Characters:
Length: 12 characters
Time to Crack: Several hundred years.
From these examples, you can see that adding complexity to a password by using a variety of character types and increasing its length exponentially increases the time required to crack it.
6. Best Practices for Password Security
Use a mix of character types: Include lowercase and uppercase letters, digits, and special characters to increase complexity.
Increase the password length: The longer the password, the more difficult it is to crack.
Avoid predictable patterns: Refrain from using common words, dates, or sequential characters like "123456" or "password123".
Use a password manager: Tools like 1Password or LastPass can help store and manage complex passwords securely, so you only need to remember one master password.
7. Conclusion
Password length and complexity are the two most important factors in protecting against brute-force attacks.
Pine Script offers a powerful way to simulate password generation and security analysis, giving you insights into how secure your password is and how long it would take to crack it.
By applying these techniques, you can ensure that your passwords are strong and secure, making brute-force attacks infeasible.
ATR+Order Block IndicatorThe ATR+Order Block Indicator is a unique and comprehensive tool designed to combine volatility-based analysis with key price action levels to provide traders with reliable entry and exit points. This indicator merges the Average True Range (ATR) for dynamic trailing stop calculation with order block detection to identify significant support and resistance zones on the chart. This combination offers traders a powerful blend of trend-following and price level analysis for improved trading decisions.
How the Components Work Together:
1. ATR-Based Trailing Stop:
• The Average True Range (ATR) is a widely used volatility indicator that measures the degree of price movement over a specified period. In this indicator, the ATR is used to create a trailing stop that dynamically adjusts to market conditions.
• How It Works: The ATR value is multiplied by a user-defined multiplier (ATR Multiplier) to set the distance of the trailing stop from the current price. This trailing stop moves with the price:
• If the price moves upwards, the trailing stop adjusts higher, ensuring it only moves in the direction of the trade.
• If the price moves downwards, the trailing stop adjusts lower accordingly.
• Purpose: This trailing stop helps traders manage risk by automatically adjusting to market volatility, ensuring that stops are not too tight in volatile conditions or too wide in quieter markets. It also helps lock in profits while maintaining a position in the market’s direction.
2. Order Block Detection:
• Order blocks are areas on the chart where significant buying (accumulation) or selling (distribution) has occurred. These zones often act as potential support or resistance levels due to the presence of unfilled buy or sell orders by large institutions or traders.
• How It Works: The indicator identifies the highest high (seller order block) and the lowest low (buyer order block) within a user-defined lookback period. These are plotted on the chart:
• Buyer Order Block: Represents a potential support area where buying interest is likely to reappear.
• Seller Order Block: Represents a potential resistance area where selling interest may reemerge.
• Purpose: By identifying these order blocks, traders can anticipate potential price reversals or continuations, aligning their trades with key market levels where significant buying or selling has occurred.
Justification for Combining These Components:
1. Enhanced Signal Accuracy and Context:
• The combination of ATR-based trailing stops with order block detection provides a dual-layered approach to trade decisions:
• ATR Trailing Stop offers trend-following signals based on volatility, helping traders capture market momentum.
• Order Blocks provide context to these signals by highlighting critical price levels where market participants have previously shown strong interest.
• This fusion allows traders to filter signals more effectively, ensuring trades are aligned with both market trends and key support/resistance zones.
2. Dynamic Risk Management:
• Using the ATR to set a dynamic trailing stop ensures that the stop-loss level adapts to the changing volatility of the market. When combined with order block detection, traders gain an additional layer of risk management:
• Stop Loss Placement: Traders can place stops just outside identified order blocks to protect against sudden price reversals while maintaining a tight stop aligned with current market volatility.
3. Reducing Market Noise and Avoiding False Signals:
• The indicator includes a mechanism to avoid repetitive signals, requiring a minimum gap between signals. This reduces noise and helps traders avoid multiple false entries in choppy market conditions.
• Order Blocks provide additional validation: For example, a buy signal generated near a Buyer Order Block carries more weight, as it aligns both with the ATR-based momentum and a key support area.
4. Improving Entry and Exit Strategies:
• Entry Points: The indicator generates buy (long) signals when the price crosses above the ATR trailing stop and sell (short) signals when it crosses below. These signals are enhanced by considering their proximity to order blocks, ensuring trades are initiated at strategic price levels.
• Exit Points: The ATR trailing stop provides a dynamic exit strategy, allowing trades to run while adjusting to market volatility. Traders can also use order blocks as targets or potential reversal points to exit trades.
5. Providing a Comprehensive Trading Tool:
• This indicator is unique in its integration of volatility and price level analysis, offering a well-rounded approach to trading. It combines the best of both worlds: trend-following momentum with the ATR and price action sensitivity through order blocks, making it suitable for different market conditions and trading styles.
How to Use the Indicator:
• Set the Parameters:
• Choose an ATR Period (default is 10) to define the number of bars for ATR calculation.
• Set the ATR Multiplier (default is 1.5) to adjust the sensitivity of the trailing stop.
• Define the Order Block Lookback Period (default is 20) to determine how many bars back the script will search for order blocks. Recommended 50.
• Interpret the Signals:
• BUY Signal: When the price crosses above the ATR trailing stop, indicating upward momentum. Confirm this signal by checking if it is near a Buyer Order Block.
• SELL Signal: When the price crosses below the ATR trailing stop, indicating downward momentum. Look for proximity to a Seller Order Block for added confidence.
• Monitor and Manage Trades:
• Use the ATR trailing stop for dynamic stop-loss placement.
• Watch for price action around the order blocks to make informed decisions about taking profits or cutting losses.
Conclusion:
The ATR+Order Block Indicator combines volatility and price action analysis in a unique way that offers traders a comprehensive tool for making informed trading decisions. By leveraging the strengths of both ATR-based dynamic stops and order block detection, it provides a balanced approach to trend-following and support/resistance trading, enhancing overall trading effectiveness and confidence.
Earnings Date Highlighter - from0_to_1This indicator, called "Earnings Date Highlighter," is designed to visualize earnings data for up to four different stocks on a single chart. It's particularly useful for traders or investors who want to track earnings events for multiple companies simultaneously, such as the top holdings of an ETF.
Key features:
1. Tracks earnings data (estimates and actuals) for four user-defined symbols.
2. Plots earnings data points with customizable colors for each symbol.
3. Highlights earnings dates with background colors.
4. Displays green up arrows for earnings beats and red down arrows for earnings misses.
Why someone would use it:
1. To monitor earnings events for multiple stocks in a single view.
2. To quickly identify potential market-moving events for key components of an ETF or portfolio.
3. To spot patterns in earnings performance across different companies or sectors.
4. To help with timing trades or adjusting positions around earnings announcements.
This tool can be particularly valuable for investors focused on ETFs, as it allows them to visualize earnings dates and performance for the ETF's major holdings all in one place, potentially providing insights into how the ETF might behave around these key events.
Author:
www.tradingview.com
Kaiser Window MAKaiser Window Moving Average Indicator
The Kaiser Window Moving Average is a technical indicator that implements the Kaiser window function in the context of a moving average. This indicator serves as an example of applying the Kaiser window and the modified Bessel function of the first kind in technical analysis, providing an open-source implementation of these functions in the TradingView Pine Script ecosystem.
Key Components
Kaiser Window Implementation
This indicator incorporates the Kaiser window, a parameterized window function with certain frequency response characteristics. By making this implementation available in Pine Script, it allows for exploration and experimentation with the Kaiser window in the context of financial time series analysis.
Modified Bessel Function of the First Kind
The indicator includes an implementation of the modified Bessel function of the first kind, which is integral to the Kaiser window calculation. This mathematical function is now accessible within TradingView, potentially useful for other custom indicators or studies.
Customizable Alpha Parameter
The indicator features an adjustable alpha parameter, which directly influences the shape of the Kaiser window. This parameter allows for experimentation with the indicator's behavior:
Lower alpha values: The indicator's behavior approaches that of a Simple Moving Average (SMA)
Moderate alpha values: The behavior becomes more similar to a Weighted Moving Average (WMA)
Higher alpha values: Increases the weight of more recent data points
In signal processing terms, the alpha parameter affects the trade-off between main-lobe width and side lobe level in the frequency domain.
Centered and Non-Centered Modes
The indicator offers two operational modes:
Non-Centered (Real-time) Mode: Uses half of the Kaiser window, starting from the peak. This mode operates similarly to traditional moving averages, suitable for real-time analysis.
Centered Mode: Utilizes the full Kaiser window, resulting in a phase-correct filter. This mode introduces a delay equal to half the window size, with the plot automatically offset to align with the correct time points.
Visualization Options
The indicator includes several visualization features to aid in analysis:
Gradient Coloring: Offers three gradient options:
• Three-color gradient: Includes a neutral color
• Two-color gradient: Traditional up/down color scheme
• Solid color: For a uniform appearance
Glow Effect: An optional visual enhancement for the moving average line.
Background Fill: An option to fill the area between the moving average and the price.
Use Cases
The Kaiser Window Moving Average can be applied similarly to other moving averages. Its primary value lies in providing an example implementation of the Kaiser window and modified Bessel function in TradingView. It serves as a starting point for traders and analysts interested in exploring these mathematical concepts in the context of technical analysis.
Conclusion
The Kaiser Window Moving Average indicator demonstrates the application of the Kaiser window function in a moving average calculation. By providing open-source implementations of the Kaiser window and the modified Bessel function of the first kind, this indicator contributes to the expansion of available mathematical tools in the TradingView Pine Script environment, potentially facilitating further experimentation and development in technical analysis.
[DarkTrader] 3D Cube BoxThe 3D Cube Box is a cutting-edge visual trading tool designed to enhance your market analysis. This indicator constructs dynamic 3D boxes around key pivot points based on high timeframe (HTF) data, offering traders a clear, geometric visualization of support, resistance, and potential price movements.
Features :
3D Geometry Visualization: The indicator generates 3D-style cube formations based on price pivots, giving a fresh and insightful perspective on price action.
Customizable Timeframes: Easily adjust the timeframe (1D, 3D, 1W, or 1M) to fit your trading strategy and market conditions.
Dynamic Pivots: The cubes are formed around key price pivots, calculated from Open-High-Low-Close (OHLC) data, allowing you to monitor price structure with precision.
Flexible Visual Settings: Choose your box color, line width, and box fill transparency for a fully customizable experience.
Sacred Geometry: Incorporates Fibonacci ratios for precision in box dimensions, aiding traders in identifying critical levels of price consolidation, breakout, or reversal.
Filled Box Visuals: Enable the 'Box Fill' option to see the cubes shaded with customizable transparency for better visual clarity.
How It Works :
The 3D Cube Box draws a series of lines and fills them based on calculated pivot points, creating a visual cube that helps you identify crucial price levels and market behavior. With its Fibonacci-based dimensions, the indicator provides a unique perspective on price action that can aid in predicting future movements.
Use Cases :
Identify key support and resistance zones.
Track price consolidations and breakouts.
Visualize market structure in a new, intuitive way.
AnyTimeAndPrice
This indicator allows users to input a specific start time and display the price of a lower timeframe on a higher timeframe chart. It offers customization options for:
- Display name
- Label color
- Line extension
By adding multiple instances of the AnyTimeframeTimeAndPrice indicator, each customized for different times and prices, you can create a powerful and flexible tool for analyzing market data. Here's a potential setup:
1. Instance 1:
- Time: 08:23
- Price: Open
- Display Name: "8:23 Open"
- Label Color: Green
2. Instance 2:
- Time: 12:47
- Price: High
- Display Name: "12:47 High"
- Label Color: Red
3. Instance 3:
- Time: 15:19
- Price: Low
- Display Name: "3:19 Low"
- Label Color: Blue
4. Instance 4:
- Time: 16:53
- Price: Close
- Display Name: "4:53 Close"
- Label Color: Yellow
By having multiple instances, you can:
- Track different times and prices on the same chart
- Customize the display names, label colors, and line extensions for each instance
- Easily compare and analyze the relationships between different times and prices
This setup can be particularly useful for:
- Identifying key levels and support/resistance areas
- Analyzing market trends and patterns
- Making more informed trading decisions
Inputs:
1. AnyStartHour: Integer input for the start hour (default: 09, range: 0-23)
2. AnyStartMinute: Integer input for the start minute (default: 30, range: 0-59)
3. Sourcename: String input for the display name (default: "Open", options: "Open", "Close", "High", "Low")
4. Src_col: Color input for the label color (default: aqua)
5. linetimeExtMulti: Integer input for the line time extension (default: 1, range: 1-5)
Calculations:
1. AnyinputStartTime: Timestamp for the input start time
2. inputhour and inputminute: Hour and minute components of the input start time
3. formattedAnyTime: Formatted string for the input start time (HH:mm)
4. currenttime: Current timestamp
5. currenthour and currentminute: Hour and minute components of the current time
6. formattedTime: Formatted string for the current time (HH:mm)
7. onTime and okTime: Boolean flags for checking if the current time matches the input start time or is within the session
8. firstbartime: Timestamp for the first bar of the session
9. dailyminutesfromSource: Calculation for the daily minutes from the source
10. anyminSrcArray: Request security lower timeframe array for the source
11. ltf (lower timeframe): Integer variable for tracking the lower timeframe
12. Sourcevalue: Float variable for storing the source value
13. linetimeExt: Integer variable for line extension (calculated from linetimeExtMulti)
Logic:
1. Check if the current time matches the input start time or is within the session
2. If true, plot a line and label with the source value and formatted time
3. If not, check if the current time is within the daily session and plot a line and label accordingly
Notes:
- The script uses request.security_lower_tf to request data from a lower timeframe
- The script uses line.new and label.new to plot lines and labels on the chart
- The script uses str.format_time to format timestamps as strings (HH:mm)
- The script uses xloc.bar_time to position lines and labels at the bar time
This script allows users to input a specific start time and display the price of a lower timeframe on a higher timeframe chart, with options for customizing the display name, label color, and line extension.
TradeTracker v33 - Interactive Journal [AR33_]TradeTracker v33 - Interactive Journal is a unique tool designed to enhance your trading experience by integrating an interactive journal directly onto your charts. Unlike traditional trading journals that require manual entries outside of TradingView, this script allows traders to document, track, and review their trades in real-time, right where the action happens.
What sets TradeTracker v33 apart from existing tools is its seamless blend of note-taking, task management, and performance tracking—all within a single, intuitive interface. With features like customizable checklists, due dates, and color-coded status indicators, this script provides a powerful and practical solution for traders who want to stay organized and disciplined.
2. Description
. TradeTracker v33 - Interactive Journal is designed to keep traders on track by allowing them to record trade-related notes, set tasks, and mark progress directly on their charts.
Here’s how it works:
• Purpose: The script serves as an all-in-one journal and task manager, helping traders document their trading strategies, track ongoing tasks, and review completed actions. It’s particularly useful for maintaining discipline and ensuring that every trade is executed according to a well-thought-out plan.
• How It Works:
• Interactive Notes and Tasks: Users can create and manage notes and tasks directly on their charts. Each note can be customized with a title, description, due date, and completion status.
• Status Indicators: Tasks are color-coded based on their status—green for completed, red for overdue, and default colors for pending tasks—allowing traders to quickly assess their progress.
• Dynamic Display: Notes are displayed in a clean, organized table on the chart, making it easy to review multiple tasks without cluttering the trading interface.
• Usage:
• Adding Notes: Simply fill in the note title, content, and optional due date within the script’s input settings, and the note will appear on your chart.
• Tracking Progress: Mark tasks as completed with a simple toggle, and the script will update their status in real-time.
• Customizing Your Workflow: Adjust the position, size, and visibility of notes to fit your trading style, ensuring that your journal supports rather than distracts from your trading activities.
3. Chart Presentation
To provide a clear and focused user experience, TradeTracker v33 - Interactive Journal is designed to be the sole feature on your chart when published. This ensures that users can easily identify and interact with their notes and tasks without any unnecessary distractions.
• Clean and Focused Display: The chart will exclusively display the interactive journal, showcasing how tasks and notes appear and update in real-time as you manage them.
• Useful Annotations: Annotations such as checkboxes and status indicators are clearly explained within the script’s description and are vital to understanding the functionality of the tool.
• Minimal Distractions: Only elements directly related to the script’s functionality are included on the chart, ensuring that users can easily follow along and implement the script in their own trading setup.
[DarkTrader] Classic Swipe (DW)Classic Swipe (DW) indicator is a highly customizable tool designed to visualize key price zones and liquidity sweeps on a daily and weekly basis. This script uses advanced plotting features like boxes, labels, and color-coded zones to help traders identify critical market structures such as daily/weekly high-low ranges and bullish or bearish swipes (previous daily high/low levels).
Key Features :
Daily Zone Box: Marks and tracks the high-low range for each trading day. Provides clear visual representation of price action within the daily range.
Weekly Zone Box: Highlights weekly high-low ranges, giving insight into longer-term support and resistance areas.
Bullish and Bearish Daily Swipes: Detects and marks sweeps of previous daily highs (bullish) or lows (bearish) with custom colors and transparency settings.
Customization: Toggle between displaying weekly and daily zones, adjust box colors and transparency, and fine-tune the appearance to match your preferences.
How to Use :
Daily Zone Box: Use this feature to identify key areas of daily price consolidation or breakout, providing intraday support/resistance zones.
Weekly Zone Box: Longer-term traders can leverage the weekly zone box to track broader market trends and prepare for potential swing trade setups.
Daily Swipes: The bullish and bearish swipe detection helps in spotting liquidity grabs or stop hunts, aiding in precise entry/exit decisions based on liquidity pools.
Indicator In Use :
Whether you're a day trader looking for intraday levels or a swing trader focusing on broader trends, this tool can help enhance your analysis by providing clear visual aids for market structure and liquidity events.
Change in State of Delivery CISD ICT [TradingFinder] Liquidity 1🔵 Introduction
🟣 What is CISD ?
Change in State of Delivery (CISD) is a key concept in technical analysis, similar to Change of Character (ChoCh) and Market Structure Shift (MSS) in the ICT (Inner Circle Trader) and Smart Money trading styles. Like ChoCh and MSS, CISD helps traders identify critical changes in market structure and make timely entries into trades.
To determine the CISD Level, traders typically review the last 1 to 4 candles to identify the first positive or negative candle. The CISD Level is then set using the opening price of the next candle.
In this version of the indicator, support and resistance levels are defined based on liquidity, which includes patterns such as SFP (Swing Failure Pattern), fake breakout, and false breakout.
Bullish CISD :
Bearish CISD :
🔵 How to Use
🟣 Bullish CISD (Change in State of Delivery Upward)
In Bullish CISD, the trend shifts from bearish to bullish after the price hits a liquidity zone, typically indicated by patterns such as SFP, fake breakout, or false breakout.
The steps to identify Bullish CISD are as follow s:
Identify the liquidity zone (SFP, fake breakout).
Review the candles and find the first positive candle.
Set the CISD Level using the opening price of the next candle after the positive candle.
Confirm the change in state of delivery when the price closes above the CISD Level.
Enter the trade after CISD confirmation.
🟣 Bearish CISD (Change in State of Delivery Downward)
In Bearish CISD, the trader looks for a shift from a bullish to a bearish trend. This change typically occurs when the price hits a liquidity level, indicated by patterns such as SFP or false breakout.
The steps to identify Bearish CISD are :
Identify the liquidity zone.
Review the candles and find the first negative candle.
Set the CISD Level using the opening price of the next candle after the negative candle.
Confirm the change in state of delivery when the price closes below the CISD Level.
Enter a short trade after CISD confirmation.
🟣 CISD Compared to ChoCh and MSS (CISD Vs ChoCh/ MSS)
CISD, ChoCh, and MSS are all tools for identifying trend changes in the market, but they have some differences :
CISD: Focuses on a change in the state of delivery and uses liquidity patterns (SFP, fake breakout) and key candles to confirm trend reversals.
ChoCh: Identifies a change in the market’s character, often signaling rapid shifts in trend direction.
MSS: Focuses on changes in market structure and identifies the breaking of key levels as a signal of trend shifts.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 SFP Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 SFP Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
CISD is a powerful tool for identifying trend reversals using liquidity patterns and key candle analysis. Traders can use the CISD Level to detect trend changes and find optimal entry and exit points.
This concept is similar to ChoCh and MSS but stands out with its focus on confirming trend changes through liquidity and specific patterns. With the right approach, CISD helps traders capitalize on market movements more effectively.
Volume-Price PercentileDescription:
The "Volume-Price Percentile Live" indicator is designed to provide real-time analysis of the relationship between volume percentiles and price percentiles on any given timeframe. This tool helps traders assess market activity by comparing how current volume levels rank relative to historical volume data and how current price movements (specifically high-low ranges) rank relative to historical price data. The indicator visualizes the ratio of volume percentile to price percentile as a histogram, allowing traders to gauge the relative strength of volume against price movements in real time.
Functionality:
Volume Percentile: Calculates the percentile rank of the current volume within a user-defined rolling period (default is 30 bars). This percentile indicates where the current volume stands in comparison to historical volumes over the specified period.
Price Percentile: Calculates the percentile rank of the current candle's high-low difference within a user-defined rolling period (default is 30 bars). This percentile reflects the current price movement's strength relative to past movements over the specified period.
Percentile Ratio (VP Ratio): The indicator plots the ratio of the volume percentile to the price percentile. This ratio helps identify periods when volume is significantly higher or lower relative to price movement, providing insights into potential market imbalances or strength.
Real-Time Data: By fetching data from a lower timeframe (e.g., 1-minute), the indicator updates continuously within the current timeframe, offering live, intra-candle updates. This ensures that traders can see the histogram change in real-time as new data becomes available, without waiting for the current candle to close.
How to Use:
Adding the Indicator: To use this indicator, add it to your chart on TradingView by selecting it from the Indicators list once it is published publicly.
Setting Parameters:
Volume Period Length: This input sets the rolling window length for calculating the volume percentile (default is 30). You can adjust it based on the desired sensitivity or historical period relevance.
Candle Period Length: This input sets the rolling window length for calculating the price percentile based on the high-low difference of candles (default is 30). Adjust this to match your trading style or analysis period.
Interpreting the Histogram:
The histogram represents the volume percentile divided by the price percentile.
Above 1: A value greater than 1 indicates that volume is relatively strong compared to price movement, which may suggest high activity or potential accumulation/distribution phases.
Below 1: A value less than 1 suggests that price movement is relatively stronger than volume, indicating potential weakness in volume relative to price moves.
Near 1: Values close to 1 suggest a balanced relationship between volume and price movement.
Application: Use this indicator to identify potential breakout or breakdown scenarios, assess the strength of price movements, and confirm trends. When volume percentile consistently leads price percentile, it might signal sustained interest and support for the current price trend. Conversely, if volume percentile lags significantly, it might warn of potential trend weakness.
Best Practices:
Multiple Timeframe Analysis: While the indicator provides real-time updates on any timeframe, consider using it alongside higher timeframe analysis to confirm trends and volume behavior across different periods.
Customization: Adjust the period lengths based on the asset’s typical volume and price behavior, as well as your trading strategy (e.g., short-term scalping vs. long-term trend following).
Complement with Other Indicators: Use this indicator in conjunction with other volume-based tools, trend indicators, or momentum oscillators to gain a comprehensive view of market dynamics.
Swing Failure Pattern SFP [TradingFinder] SFP ICT Strategy🔵 Introduction
The Swing Failure Pattern (SFP), also referred to as a "Fake Breakout" or "False Breakout," is a vital concept in technical analysis. This pattern is derived from classic technical analysis, price action strategies, ICT concepts, and Smart Money Concepts.
It’s frequently utilized by traders to identify potential trend reversals in financial markets, especially in volatile markets like cryptocurrencies and forex. SFP helps traders recognize failed attempts to breach key support or resistance levels, providing strategic opportunities for trades.
The Swing Failure Pattern (SFP) is a popular strategy among traders used to identify false breakouts and potential trend reversals in the market. This strategy involves spotting moments where the price attempts to break above or below a previous high or low (breakout) but fails to sustain the move, leading to a sharp reversal.
Traders use this strategy to identify liquidity zones where stop orders (stop hunt) are typically placed and targeted by larger market participants or whales.
When the price penetrates these areas but fails to hold the levels, a liquidity sweep occurs, signaling exhaustion in the trend and a potential reversal. This strategy allows traders to enter the market at the right time and capitalize on opportunities created by false breakouts.
🟣 Types of SFP
When analyzing SFPs, two main variations are essential :
Real SFP : This occurs when the price breaks a critical level but fails to close above it, then quickly reverses. Due to its clarity and strong signal, this SFP type is highly reliable for traders.
Considerable SFP : In this scenario, the price closes slightly above a key level but quickly declines. Although significant, it is not as definitive or trustworthy as a Real SFP.
🟣 Understanding SFP
The Swing Failure Pattern, or False Breakout, is identified when the price momentarily breaks a crucial support or resistance level but cannot maintain the movement, leading to a rapid reversal.
The pattern can be categorized as follows :
Bullish SFP : This type occurs when the price dips below a support level but rebounds above it, signaling that sellers failed to push the price lower, indicating a potential upward trend.
Bearish SFP : This pattern forms when the price surpasses a resistance level but fails to hold, suggesting that buyers couldn’t maintain the higher price, leading to a potential decline.
🔵 How to Use
To effectively identify an SFP or Fake Breakout on a price chart, traders should follow these steps :
Identify Key Levels: Locate significant support or resistance levels on the chart.
Observe the Fake Breakout: The price should break the identified level but fail to close beyond it.
Monitor Price Reversal: After the breakout, the price should quickly reverse direction.
Execute the Trade: Traders typically enter the market after confirming the SFP.
🟣 Examples
Bullish Example : Bitcoin breaks below a $30,000 support level, drops to $29,000, but closes above $30,000 by the end of the day, signaling a Real Bullish SFP.
Bearish Example : Ethereum surpasses a $2,000 resistance level, rises to $2,100, but then falls back below $2,000, forming a Bearish SFP.
🟣 Pros and Cons of SFP
Pros :
Effective in identifying strong reversal points.
Offers a favorable risk-to-reward ratio.
Applicable across different timeframes.
Cons :
Requires experience and deep market understanding.
Risk of encountering false breakouts.
Should be combined with other technical tools for optimal effectiveness.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
SFP Type : Choose between "All", "Real" and "Considerable" modes to identify the swing failure pattern.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert SFP : Enables alerts for Swing Failure Pattern.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Swing Failure Pattern (SFP), or False Breakout, is an essential analytical tool that assists traders in identifying key market reversal points for successful trading.
By understanding the nuances between Real SFP and Considerable SFP, and integrating this pattern with other technical analysis tools, traders can make more informed decisions and better manage their trading risks.
ICT Time Levels Description:
The Time Levels Indicator is designed to enhance trading decisions by marking significant price levels at key times throughout the trading day. This indicator specifically focuses on three crucial times: 8:30 AM, 9:30 AM, and 10:00 AM (UTC-4), which are often associated with significant market movements.
Key Features:
Customizable Time Levels: Users can toggle the display of price levels at 8:30 AM, 9:30 AM, and 10:00 AM. Each level is marked with a line on the chart, which helps traders visually identify these critical points.
Style and Color Options: Customize the appearance of each time level with different line styles (solid, dotted, dashed) and colors to match your chart preferences.
Dynamic Labeling: The indicator automatically places a label at the current price level for each time, making it easier to identify and track these levels as the day progresses.
Real-Time Updates: As the trading session unfolds, the indicator adjusts the lines and labels to reflect the latest price data at the specified times.
How It Works:
At the specified times (8:30 AM, 9:30 AM, and 10:00 AM), the indicator captures the opening price and plots a horizontal line at that level.
These lines serve as reference points, helping traders to observe how the price interacts with these key levels throughout the day.
The lines and labels are fully customizable, allowing users to adapt the indicator to their trading style and visual preferences.
Use Cases:
Market Open Strategies: Traders can use the 9:30 AM level to monitor the opening price of the New York Stock Exchange (NYSE), which often sets the tone for the trading session.
Morning Volatility: The 8:30 AM and 10:00 AM levels can be useful for identifying potential support and resistance levels during periods of increased volatility, such as economic data releases or after the market opens.
This indicator is particularly useful for intraday traders who focus on morning trading sessions and want to have a clear visual reference to guide their decisions.
Note: This script is designed to be simple yet effective, providing traders with essential information without cluttering the chart.
Simple Price Action [Luxmi AI]Introducing the Simple Price Action Indicator
The Simple Price Action Indicator is designed to help traders quickly identify market trends and make informed decisions. This custom-built Pine Script tool changes candle colors on your chart based on price movement:
- Lime Green Candles indicate bullish momentum when the current price closes above the previous candle’s high.
- Red Candles signal bearish momentum when the price closes below the previous candle’s low.
Alongside these visual cues, the indicator generates Buy and Sell signals based on color changes:
- A buy signal appears when a red candle turns green.
- A sell signal shows up when a green candle turns red.
These signals are displayed directly on the chart as small labels ("B" for buy and "S" for sell), helping you easily spot trading opportunities. You can also set up alerts to notify you whenever a new signal is triggered, ensuring you never miss a trade.
The Simple Price Action Indicator is a straightforward yet effective tool for traders looking to enhance their price action analysis.
How It Works: Under the Hood
The script begins by defining two key colors—lime green for bullish candles and red for bearish candles. It then determines the candle color based on the closing price relative to the previous candle's high and low. If a bullish or bearish condition is met, the candle is colored accordingly.
Next, the script checks for a change in candle color to generate buy and sell signals. If a candle turns green after being red, a buy signal is plotted below the candle. If a candle turns red after being green, a sell signal is plotted above the candle.
Finally, the script includes alert conditions that correspond to these buy and sell signals, ensuring you can react quickly to potential trades.
Matrix Glitch | FractalystThe Matrix Glitch indicator is a visually engaging tool for traders, inspired by the iconic Matrix movie effects. It overlays price charts with dynamic, multi-colored glitches that sync with market data, creating a striking, almost surreal visual experience.
The indicator uses characters from various languages (e.g., Japanese, Chinese, Russian, English) to mimic the digital rain effect from the movies. Users can select a language, which activates a corresponding array of characters. These characters are randomly picked from the chosen array and displayed on the chart.
Underlying Calculations and Logic
Arrays in the Indicator
1- Character Management:
The script uses arrays to store sets of characters representing different symbols or alphabets. These arrays allow the indicator to dynamically select and update characters for display. Each element in these arrays corresponds to a specific character that will be used to populate the grid.
2- Current and Previous States:
Arrays are employed to keep track of the current state of characters that are displayed on the grid. Simultaneously, another set of arrays records the previous state of these characters. This dual-state management allows the script to smoothly transition between updates, handling changes in characters and visual effects like fading.
3- Transparency Control:
Transparency levels for each character in the grid are managed through arrays. These arrays store the opacity values, ensuring that each character has the appropriate level of transparency. By comparing the current and previous transparency states, the script can create effects like gradual fading or intensifying visibility.
4- Rain Effect Simulation:
To create the "rain" effect, the script maintains arrays that simulate the falling text by continuously updating the position and visibility of characters. As new characters enter the top of the grid, older ones are removed from the bottom, with their transparency levels adjusted to simulate movement.
5- Operational Flow:
Initialization : Arrays are initialized to manage both the characters and their transparency. This setup allows the script to handle the dynamic display efficiently.
Updates : During each cycle, new characters are selected and old characters are shifted accordingly. The arrays ensure that both the content and appearance of the grid are updated seamlessly.
Rendering : The arrays dictate how characters and their transparency are rendered on the grid, ensuring a cohesive and visually appealing effect.
Here's how to use the indicator step-by-step:
1- Apply the Indicator to Your Charts:
Begin by adding the indicator to your chart. This will activate the visual effect on your selected trading instrument or time frame.
Select Your Preferred Language of the Matrix Characters:
In the settings, choose the language or symbol set you want the matrix characters to display. This could be anything from traditional matrix-style characters to different alphabets or custom symbols.
2- Choose the Matrix Effect (Rain, Burst):
Decide on the type of visual effect you prefer. You can select from options like the classic "rain" effect, where characters fall from the top of the screen, or a "burst" effect, where characters explode outward or appear in a different dynamic pattern.
3- Adjust the Color According to Your Preference:
Customize the color of the matrix characters to suit your aesthetic or chart theme. You can select from a range of colors or even set up a gradient for more complex visual effects.
4- Adjust the Width and Height of the Matrix According to Your Screen:
Fine-tune the dimensions of the matrix display. Set the width and height so that the matrix fits perfectly on your screen, ensuring that it aligns well with other chart elements and doesn't obstruct your view.
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What Makes the Matrix Glitch Indicator Unique?
Language Selection:
Customizable Language: Unlike many indicators that might offer static or limited visual elements, the Matrix Glitch Indicator allows users to choose from a variety of languages for the characters displayed. This feature not only personalizes the user experience but also adds a cultural or linguistic element to trading charts. Users can select languages like Japanese, Chinese, Russian, or English, and many more.
This flexibility ensures that traders from different backgrounds can feel a connection with their charts through familiar or exotic scripts.
Dynamic Effects:
Effect Modes: The indicator offers two distinct modes - Rain Mode and Burst Mode. In Rain Mode, characters fall from the top of the chart, mimicking the iconic digital rain from the Matrix films.
In Burst Mode, characters radiate outward from a central point, creating a unique visual effect that can be synchronized with market volatility.
This dual-mode functionality allows traders to choose how they want their data to be visually represented, providing both aesthetic variety and potentially different insights into market behavior.
Color Customization:
Full Color Control: The ability to fully customize the color of the characters is a standout feature. Traders can match the indicator's colors to their trading platform's theme, their mood, or even specific market conditions (e.g., red for downturns, green for upturns). This level of customization not only aids in creating a personalized trading environment but can also serve as a visual cue for different market states.
Universal Display Compatibility:
Adjustability for All Displays: The indicator is designed to be fully adjustable for various screen resolutions and sizes. This ensures that whether you're trading on a high-resolution monitor, a laptop, or even a mobile device, the Matrix Glitch effect remains clear and impactful without compromising on the functionality of the trading chart. This adaptability is crucial in an era where trading can happen anywhere, making the indicator a versatile tool for traders on the go or in a static setup.
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Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
DAILY CANDLE SIZE TRACKERDAILY CANDLE SIZE TRACKER
The daily candle size Indicator is a versatile tool designed to measure and analyze the length of candlesticks on your TradingView chart. This indicator helps traders gain insights into market volatility and price movement by displaying the relative size of particular size of candle in terms of its range (open to close) of particular day of week.
Key Features:
Visual Representation: Displays the length of every qualified candle directly on the chart, allowing for immediate visual assessment.
Historical Analysis: View the lengths of past candles to identify patterns or changes in market volatility over time of certain size of candle.
Usage:
• Probability analysis : It help to analyze candles based on candle size on particular days of the week.
• Volatility Assessment: Large candles may indicate higher market volatility, while smaller candles can suggest periods of consolidation or lower volatility.
• Trade Confirmation: Use candle length information in conjunction with other technical indicators to confirm trade signals and refine entry and exit points.
USER INPUTS
• DAY LABEL: Select Particular day of week or all days of week.
• START DATE : Select the prefer date from where you want to calculate.
• CANDLE LENGTH : Define length of candle on the basis of open to close.
******************* THIS INDICATOR ONLY WORKS ON DAILY TIMEFRAME**************
Screener | FractalystWhat’s the purpose of this indicator?
This indicator is part of the Optirange suite , which analyzes all timeframes using a mechanical top-down approach to determine the overall market bias. It helps you identify the specific timeframes and exact levels for positioning in longs, shorts, or guiding you on whether to stay away from trading a particular market condition.
The purpose of the Screener indicator is to track the contextual bias of multiple markets simultaneously on the charts without the need to switch between pairs. This allows traders to monitor various assets in real-time, enhancing decision-making efficiency and identifying potential trading opportunities more effectively.
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How does this indicator identify the overall market bias?
This indicator employs a systematic top-down approach, analyzing market structure, fractal blocks, and their mitigations from the 12M timeframe down to the 1D timeframe to uncover the story behind the market. This method helps identify the overall market bias, whether it’s bullish, bearish, or in consolidating conditions.
Below is a flowchart that illustrates the calculation behind the market context identification, demonstrating the systematic approach:
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According to the above trade plan, why do we only look for mitigations within Fractal Blocks of X1/X2?
In this context, "X" stands for a break in the market's structure, and the numbers (1 and 2) indicate the sequence of these breaks within the same trend direction, either up or down.
We focus on mitigations within Fractal Blocks during the X1/X2 stages because these points mark the early phase (X1) and the continuation (X2) of a trend. By doing so, we align our trades with the market's main direction and avoid getting stopped out in the middle of trends.
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How does this indicator identify ranges in a mechanical way?
Since the indicator is part of the Optirange suite , it follows the exact rules that Optirange utilizes to identify breaks of market structures in a mechanical manner.
Let’s take a closer look at how the ranges are calculated:
1- First, we need to understand the importance of following a set of mechanical rules in identifying market structure:
The image above illustrates the difference between a subjective and a mechanical approach to analyzing market structure. The subjective method often leads to uncertainty, where traders might struggle to pinpoint exact breaks in structure, resulting in inconsistent decision-making. Questions like “Is this a break?” or “Maybe this one...?” reflect the ambiguity of manual interpretation, which can cause confusion and errors in trading.
On the other hand, the mechanical approach depicted on the right side of the image follows a clear, rule-based method to define breaks in market structure. This systematic approach eliminates guesswork by providing precise criteria for identifying structural changes, such as marking structural invalidation levels where market bias shifts from bullish to bearish or vice versa. The mechanical method not only offers consistency but also integrates statistical probabilities , enhancing the trader's ability to make data-driven decisions.
By adhering to these mechanical rules, the Screener indicator ensures that ranges are identified consistently, allowing traders to rely on objective analysis rather than subjective interpretation . This approach is crucial for accurately defining market structures and making informed trading decisions.
2- Now let's take a look at a practical example of how the indicator utilizes Pivot points with a period of 2 to identify ranges:
In this image, we see a Bearish Scenario on the left and a Bullish Scenario on the right. The indicator starts by identifying the first significant swing on the chart. It then validates this swing by checking if there is a preceding swing high (for a bearish scenario) or swing low (for a bullish scenario). Once validated, the indicator confirms a break of structure when price closes below or above these points, respectively.
For instance, in the Bearish Scenario:
The first significant swing is identified.
The script checks for a preceding swing high before confirming any structural break.
A candle closure below the swing low confirms the first bearish break of structure.
This results in a confirmed market bias towards bearishness, with structural liquidity levels indicated for potential price targets.
In the Bullish Scenario:
The process is mirrored, identifying the first swing low and validating it with a preceding swing low.
A closure above this swing confirms the bullish break of structure.
This leads to a market bias towards bullishness, with invalidation levels to watch if the trend shifts.
This practical example demonstrates how the indicator systematically identifies market ranges, ensuring that traders can make informed decisions based on clear, rule-based criteria.
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How does this indicator identify ranges in a mechanical way, What are the underlying calculations?
Fractal blocks refer to the most extreme swing candle within the latest break. They can serve as significant levels for price rejection and may guide movements toward the next break, often in confluence with topdown analysis for added confirmation.
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What are mitigations, What are the underlying calculations?
Mitigations refer to specific price action occurrences identified by the script:
1- When the price reaches the most recent fractal block and confirms a swing candle, the script automatically draws a line from the swing to the fractal block bar and labels it with a checkmark.
2- If the price wicks through the invalidation level and then retraces back to the fractal block while forming a swing candle, the script labels this as a double mitigation on the chart.
This level will serve as the next potential invalidation level if a break occurs in the same direction.
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What does the right table display?
The table located at the right of your chart displays five colored symbols that represent the contextual market bias:
Green: The market is in a bullish condition.
Red: The market is in a bearish condition.
White: The market condition is uncertain, and it is advisable to stay away from trading.
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What does the bottom table display?
The bottom table can be turned on in the Optirange indicator and serves multiple purposes:
Range Counts and Mitigations: It shows the range counts and their mitigations across multiple timeframes, providing a comprehensive view of market dynamics.
Hourly Timeframe Probabilities: The bottom row of the bias table displays the probabilities for various hourly timeframes, helping to identify potential entry levels based on the multi-timeframe bias determined by the Screener.
In a bullish market context, you should look for long positions by focusing on hourly timeframes where buy-side probability exceeds 50%.
In a bearish market context, you should look for short positions by focusing on hourly timeframes where the sell-side probability exceeds 50%.
When the symbol is white within the Screener table, it signals that the market bias is unclear, and it's recommended to stay away from trading in such conditions.
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How the range probabilities are calculated?
Each break of market structure, denoted as X, is assigned a unique ID, starting from X1 for the first break, X2 for the second, and so on.
The probabilities are calculated based on breaks holding, meaning price closing through the liquidity level, rather than invalidation. This probability is then divided by the total count of similar numeric breaks.
For example, if 75 out of 100 bullish X1s become X2, then the probability of X1 becoming X2 on your charts will be displayed as 75% in the following format: ⬆ 75%
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What does the top table display?
The top table on the charts displays the current market context, offering insights into the underlying bias. It highlights the high-timeframe (HTF) bias and guides you on which timeframes you should use to enter long or short positions, based on the probability of success.
Additionally, when the market bias is unclear, the table clearly signals that it's best to avoid trading that specific market until the context or market story becomes clearer. This helps traders make informed decisions and avoid uncertain market conditions.
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How does the Screener indicator identify the market bias/context/story ?
- Market Structure: The Optirange indicator analyzes market structure across multiple timeframes, from a top-down perspective, including 12M, 6M, 3M, 1M, 2W, 1W, 3D, and 1D.
- Fractal Blocks: Once the market structure or current range is identified, the indicator automatically identifies the last push before the break and draws it as a box. These zones acts as a key area where the price often rejects from.
- Mitigations: After identifying the Fractal Block, the indicator checks for price mitigation or rejection within this zone. If mitigation occurs, meaning the price has reacted or rejected from the Fractal Block, the indicator draws a checkmark from the deepest candle within the Fractal Block to the initial candle that has created the zone.
- Bias Table: After identifying the three key elements—market structure, Fractal Blocks, and price mitigations—the indicator compiles this information into a multi-timeframe table. This table provides a comprehensive top-down perspective, showing what is happening from a structural standpoint across all timeframes. The Bias Table presents raw data, including identified Fractal Blocks and mitigations, to help traders understand the overall market trend. This data is crucial for the screener, which uses it to determine the current market bias based on a top-down analysis.
- Screener: Once all higher timeframes (HTF) and lower timeframes (LTF) are calculated using the indicator, it follows the exact rules outlined in the flowchart to determine the market bias. This systematic approach not only helps identify the current market trend but also suggests the exact timeframes to use for finding entry, particularly on hourly timeframes.
Example:
12M Timeframe:
OANDA:EURUSD
6M Timeframe :
OANDA:EURUSD
3M Timeframe :
OANDA:EURUSD
1M Timeframe :
OANDA:EURUSD
2W Timeframe :
OANDA:EURUSD
1W Timeframe :
OANDA:EURUSD
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User-input settings and customizations
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. By utilizing our charting tools, the buyer acknowledges that neither the seller nor the creator assumes responsibility for decisions made using the information provided. The buyer assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses. Therefore, by purchasing these charting tools, the customer acknowledges that neither the seller nor the creator is liable for any unfavorable outcomes resulting from the development, sale, or use of the products.
The buyer is responsible for canceling their subscription if they no longer wish to continue at the full retail price. Our policy does not include reimbursement, refunds, or chargebacks once the Terms and Conditions are accepted before purchase.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer.
Buy script for stocks mathematical calculation chart. it is totally based on the square root calculation of previous day + 66.66% of Square root. ( last dat sqrt+66.66% of Sqrt). buy above the value. best for stock in intraday
