Ultimate Trend SuiteThe Ultimate Trend Suite is a comprehensive trading indicator designed to enhance your market analysis and decision-making process. By integrating multiple technical analysis tools into a single, cohesive package, this indicator provides clear insights into market trends, momentum shifts, volatility conditions, and potential reversal points. It is tailored for traders seeking a deeper understanding of market dynamics without the need to interpret numerous separate indicators.
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Key Features
The indicator offers a range of features that work together to provide a holistic view of the market:
- Dynamic Trend Line: A responsive trend line that adapts to price movements, highlighting the prevailing market direction. It helps you quickly identify whether the market is in an uptrend, downtrend, or consolidation phase.
- Strength and Weakness Dots: Visual markers indicating potential shifts in market momentum. These dots offer early signals of increasing buying (strength) or selling (weakness) pressure.
- Volatility Squeeze Detection: Identifies periods when the market is experiencing low volatility, which often precedes significant price movements. It alerts you to potential breakout opportunities so you can prepare your trading strategy accordingly.
- Reversal Signals: Highlights potential bullish or bearish reversal points in the market, assisting in spotting possible trend changes early for timely entry or exit decisions.
- Trend Bars: Colours the price bars based on the underlying trend direction, providing an immediate visual representation of market sentiment and simplifying chart analysis.
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What Is It For?
The Ultimate Trend Suite is designed to simplify market analysis and enhance trading decisions. By consolidating multiple technical indicators into one, it reduces chart clutter and makes it easier to interpret market conditions. It is suitable for day traders, swing traders, and long-term investors across different markets such as forex, stocks, commodities, and cryptocurrencies. The indicator helps identify high-probability trade setups by highlighting key market conditions like trend strength and volatility compression.
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How to Use
To effectively utilise the Ultimate Trend Suite, it's essential to understand how to interpret its signals and integrate them into your trading strategy.
Interpreting the Dynamic Trend Line
The Dynamic Trend Line adapts to price movements and changes its slope and colour based on market conditions:
- Uptrend Indication: If the Trend Line is sloping upward and possibly changing to a bullish colour, it indicates that the market is in an uptrend. This suggests that buying opportunities may be favorable. Traders might look to enter long positions, expecting prices to continue rising.
- Downtrend Indication: If the Trend Line is sloping downward and possibly changing to a bearish colour, it indicates that the market is in a downtrend. This suggests that selling opportunities or refraining from long positions may be prudent. Traders might consider short positions or protecting existing long positions.
- Consolidation Phase: A sideways-moving Trend Line may indicate a consolidation phase, signaling a lack of clear trend. In such cases, exercising caution and waiting for a breakout is advisable before committing to a new position.
Understanding Strength and Weakness Dots
The Strength and Weakness Dots provide visual cues about potential momentum shifts:
- Strength Dots (Bullish Signals): These appear below the price bars and suggest a potential increase in bullish momentum. When you see these dots, it may be an opportune time to consider entering long positions or adding to existing ones, anticipating that the upward momentum will continue.
- Weakness Dots (Bearish Signals): These appear above the price bars and indicate a potential increase in bearish momentum. These signals may prompt you to consider entering short positions or exiting long positions, expecting that prices may start to decline.
Utilising Volatility Squeeze Detection
The Volatility Squeeze Detection identifies periods of low volatility, which often precedes significant price movements:
- Volatility Squeeze Indication: When a shaded area appears on the chart, it signifies a volatility squeeze. This indicates that the market is experiencing compressed volatility, and a significant price movement may be imminent.
- Preparing for Breakouts: During a volatility squeeze, it's crucial to monitor the market closely for potential breakouts. This period suggests that the market is gathering momentum for a large move in either direction. By combining this information with other indicators or price action analysis, you can anticipate the direction of the breakout and prepare your trading strategy accordingly.
Recognising Reversal Signals
Reversal Signals help identify potential trend changes:
- Bullish Reversal Signal: An "R" symbol appears below a price bar, suggesting that a downtrend may be ending and an upward reversal is possible. You might consider entering a long position or closing a short position, especially if other indicators support this signal. This could be an early indication that buying pressure is increasing.
- Bearish Reversal Signal: An "R" symbol appears above a price bar, indicating that an uptrend may be ending and a downward reversal is possible. In this case, you might consider entering a short position or closing a long position. This suggests that selling pressure is gaining momentum.
Interpreting Trend Bars
Trend Bars provide immediate visual feedback on market sentiment:
- Bullish Trend Bars: Green-coloured bars indicate bullish trends and suggest that upward momentum is present. This visual cue reinforces the signals from the Dynamic Trend Line and Strength Dots, helping you confirm the strength of an uptrend.
- Bearish Trend Bars: Red-coloured bars indicate bearish trends, highlighting downward momentum. This complements signals from the Dynamic Trend Line and Weakness Dots, confirming the strength of a downtrend.
Volatilitas
Gaps Trend [ChartPrime]The Gaps Trend - ChartPrime indicator is designed to detect Fair Value Gaps (FVGs) in the market and apply a trailing stop mechanism based on those gaps. It identifies both bullish and bearish gaps and provides traders with a way to manage trades dynamically as gaps appear. The indicator visually highlights gaps and uses the detected momentum to assess trend direction, helping traders identify price imbalances caused by strong buy or sell pressure.
⯁ KEY FEATURES & HOW TO USE
⯌ Fair Value Gap (FVG) Detection :
The indicator automatically detects both bullish and bearish FVGs, identifying gaps between candle highs and lows. Bullish gaps are shown in green, and bearish gaps in purple. These gaps indicate price imbalances driven by strong momentum, such as when there is significant buying or selling pressure.
Use : Traders can use FVG detection to identify periods of high price momentum, offering insight into potential continuation or exhaustion of trends.
⯌ Trailing Stop Feature Based on FVGs :
A core feature of this indicator is the trailing stop mechanism, which adjusts dynamically based on the identified FVGs. When a bullish gap is detected, the trailing stop is placed below the price to capture upward momentum, while bearish gaps result in a trailing stop placed above the price. This feature helps traders stay in trends while protecting profits as the price moves.
Use : The trailing stop follows the momentum of the price, ensuring that traders can stay in profitable trades during strong trends and exit when the momentum shifts.
bullish set up
bearish set up
⯌ Trend Direction Indication :
The indicator colors the chart according to the current trend direction based on the position of the price relative to the trailing stop. Green indicates an uptrend (bullish gap), while purple shows a downtrend (bearish gap). This provides traders with a quick visual assessment of trend direction based on the presence of gaps.
Use : Traders can monitor the chart's color to stay aligned with the market’s trend, staying long during green phases and short during purple ones.
⯌ Gap Size Filtering :
Each detected gap is assigned a numerical ranking based on its size, with larger gaps having higher rankings. The gap size filter allows traders to only display gaps that meet a minimum size threshold, focusing on the most impactful gaps in terms of price movement.
Use : Traders can use the filter to focus on gaps of a certain size, filtering out smaller, less significant gaps. The numerical ranking helps identify the largest and most influential gaps for decision-making.
⯌ FVG Level Visualization :
The indicator can display dashed lines marking the levels of previously filled FVGs. These levels represent areas where price once experienced a gap and later filled it. Monitoring these levels can provide traders with key reference points for potential reactions in price.
Use : Traders can use these gap levels to track where price has filled gaps and potentially use these levels as zones for entry, exit, or assessing market behavior.
⯁ USER INPUTS
Filter Gaps : Adjust the size threshold to filter gaps by their size ranking.
Show Gap Levels : Toggle the display of dashed lines at filled FVG levels.
Enable Trailing Stop : Activate or deactivate the trailing stop feature based on FVGs.
Trailing Stop Length : Set the number of bars used to calculate the trailing stop.
Bullish/Bearish Colors : Customize the colors representing bullish and bearish gaps.
⯁ CONCLUSION
The Gaps Trend indicator combines Fair Value Gap detection with a dynamic trailing stop feature to help traders manage trades during periods of high price momentum. By detecting gaps caused by strong buy or sell pressure and applying adaptive stops, the indicator provides a powerful tool for riding trends and managing risk. The additional ability to filter gaps by size and visualize previously filled gaps enhances its utility for both trend-following and risk management strategies.
Amplitude [Anan]The Amplitude indicator calculates and visualizes both the amplitude and cumulative amplitude of price movements, providing traders with insights into price volatility and trend strength. By distinguishing between positive and negative amplitude movements, this indicator aids in identifying bullish and bearish sentiments, potential reversal points, and confirming trend directions.
█ Main Formulas
‣ Amplitude = High - Low
‣ Cumulative Amplitude = sum of Amplitude over the specified lookback period
‣ Percentage Amplitude = (Amplitude / Open) × 100%
High: Candle high (or highest high when lookback > 1)
Low: Candle low (or lowest low when lookback > 1)
Open: Open price of the first candle in the lookback period
█ Key Features
✦Dual Amplitude Calculations:
Amplitude: Reflects price range and direction over a short-term period.
Cumulative Amplitude: Aggregates amplitude over a longer period for broader trend analysis.
✦Customizable Parameters: Adjust lookback periods, smoothing options, moving averages and Alerts.
✦Direction Separation: Distinguish between positive and negative amplitude movements to identify market sentiment.
✦Flexible Visualization: Customizable colors and plot styles for enhanced chart readability.
✦Alert System: Generate signals based on amplitude direction and moving average crossovers
█ How to Use and Interpret
✦Understanding Amplitude and Cumulative Amplitude:
‣Amplitude: Measures the price range (high - low) over a specified short-term period.
‣Cumulative Amplitude: Aggregates amplitude over a defined longer-term period.
‣Percentage Representation: shows amplitude relative to the open price from `amp_length` bars ago, providing a normalized view.
‣Interpretation:
Large Amplitude Values: Indicate high volatility.
Small Amplitude Values: Indicate low volatility.
✦Trend Identification:
‣Uptrend: Consistently positive amplitudes and upward-moving averages.
‣Downtrend: Consistently negative amplitudes and downward-moving averages.
✦Overbought/Oversold Conditions:
‣High Positive Amplitude: May indicate overbought conditions and potential reversals.
‣High Negative Amplitude: May indicate oversold conditions and potential reversals.
✦Volatility Analysis:
‣High Amplitude Values: Suggest increased market volatility.
‣Low Amplitude Values: Suggest reduced market volatility.
✦Signal Confirmation:
‣Moving Average Crossovers: Confirm the strength and direction of trends, aiding in informed trading decisions.
✦Trading Strategies:
‣ Breakout Trading: Large increases in amplitude can signal potential breakouts.
‣ Mean Reversion: Extreme amplitude values may indicate upcoming price corrections.
‣ Volatility-Based Strategies: Adjust position sizes or trading frequency based on amplitude magnitudes.
‣ Multi-Timeframe Analysis: Compare amplitudes across different timeframes for a comprehensive market view.
█ Customization Tips
‣ Lookback Periods: Experiment with different periods to suit your trading style and asset characteristics.
‣ Smoothing Settings: Adjust to balance responsiveness and noise reduction.
‣ Percentage Amplitude: Use for normalized comparisons across different price levels.
Shifted Lines Based on Hourly CandleOverview
The Shifted Lines Based on Hourly Candle indicator plots two dynamic horizontal lines on your chart, offset by a specified price amount above and below the closing price of the last completed hourly candle. These lines update every hour, providing real-time reference levels that can assist in identifying potential support and resistance zones.
How the Indicator Works
• Hourly Close Reference:
• The indicator uses the closing price of the most recent completed hourly candle as a reference point, regardless of your current chart timeframe.
• Price Offset Calculation:
• You can specify a Price Offset value, which determines how far above and below the hourly close the lines will be drawn.
• Upper Level: Calculated by adding the Price Offset to the hourly closing price.
• Lower Level: Calculated by subtracting the Price Offset from the hourly closing price.
• Dynamic Updates:
• The indicator automatically updates the positions of the lines at the start of each new hour, ensuring they always reflect the latest market data.
Settings and Parameters
Input Parameters
• Price Offset
• Description: The amount (in price units) by which the upper and lower lines are offset from the hourly closing price.
• Type: Numerical input (allows decimal values).
• Default Value: 10.0
• Usage: Adjust this value to set your desired offset distance. For instance, if you set it to 5, the upper line will be drawn 5 units above the hourly close, and the lower line will be 5 units below.
Style Settings
In the indicator’s Style tab, you’ll find the following options:
• Upper Level and Lower Level Lines:
• Color: Default is red. You can change it to any color that suits your preference.
• Line Width: Adjust the thickness of the lines for better visibility.
• Precision: Controls the number of decimal places displayed for the level values. It’s recommended to leave this at the default setting to match the instrument’s standard precision.
• Labels and Values:
• Labels on Price Scale: Enabled by default. This displays the current values of the upper and lower levels directly on the price scale, making them easily visible.
• Values in Status Line: Enabled by default. This shows the values of the levels in the status line at the top of the chart when you hover over the indicator.
Note: The default settings are optimized for general use. You don’t need to adjust them unless you have specific visualization preferences.
How to Use the Indicator
1. Adding the Indicator:
• Since the script is private, you can add it to your chart from the list of indicators you’ve been granted access to.
2. Configuring the Price Offset:
• Open the indicator settings by clicking the gear icon next to its name in the chart.
• In the Inputs tab, adjust the Price Offset to your desired value.
3. Interpreting the Lines:
• Upper Level Line:
• Represents a price level above the last hourly close, offset by your specified amount.
• Can act as a potential resistance level.
• Lower Level Line:
• Represents a price level below the last hourly close, offset by your specified amount.
• Can act as a potential support level.
4. Trading Applications:
• Support and Resistance:
• Use the lines to identify key support and resistance areas for potential entry and exit points.
• Breakout Strategies:
• Monitor price action around these levels to spot possible breakouts or reversals.
• Risk Management:
• Incorporate the levels into your stop-loss or take-profit strategies.
Practical Example
Suppose the last hourly candle closed at a price of 1,500, and your Price Offset is set to 10:
• Upper Level: 1,500 + 10 = 1,510
• Lower Level: 1,500 - 10 = 1,490
These levels will be plotted on your chart and will remain until the next hourly candle closes, at which point they will update based on the new closing price.
Notes and Tips
• Timeframe Flexibility:
• The indicator can be applied to any chart timeframe, but it always references the hourly close for consistency.
• No Need to Adjust Precision:
• The Precision setting in the Style tab is optimized for most instruments and typically doesn’t require changes.
• Visual Customization:
• Feel free to adjust the colors and line styles to integrate seamlessly with your chart’s appearance.
• Indicator Access:
• Since the script is private, only users with access can add it to their charts. The source code remains hidden to protect proprietary logic.
Large Candle Detector (6-Candle Comparison)This indicator identifies large price candles that are bigger than the previous six candles, helping traders spot potential breakout or reversal signals. By highlighting significant candles compared to recent price action, it provides insights into key moments of increased volatility or momentum shifts in the market.
Magic Order Blocks [MW]Add a slim design, minimalist view of the most relevant higher and lower order blocks to your chart. Use our novel method of filtering that uses both the the number of consecutive bullish or bearish candles that follow the order block, and the number of ATRs that the asset’s price changed following the order block. View just the order blocks above and below the current price, or view the backgrounds for each and every one. And, if you're up to it, dig into a comprehensive view of the data for each order block candle.
Settings:
General Settings
Minimum # of Consecutive Bars Following Order Block
Show Bullish Order Blocks Below / Hide Last Bullish Block
Show Bearish Order Blocks Above / Hide Last Bearish Block
Use ATR Filter - Select # of ATRs Below
Closest Order Block is Followed by This Many ATRs
Preferences
Right Offset of Indicator Label
Show Mid-Line from Recent Order Block Indicator Label
Use ATRs Instead of Consecutive Candles in Label Indicator
Show Timestamp of Recent Order Block
Show Large Order Block Detail Labels
Show Small Order Block Labels
Background Settings
Show Background for Recent Order Block Indicator Label
# of Backgrounds to Show Before Now
Show All Bullish Order Block Backgrounds
Show All Bearish Order Block Backgrounds
Calculations
This indicator creates a matrix of each order block that is followed by the user-specified number of consecutive bullish or bearish candles. The data can be further filtered by the number of ATRs that the price moves after the order block - also user-defined. The most recent bearish order block above the current price takes arrays from the initial filtered matrix of arrays, filters once more by the “mid-price” of the order block (the average between the order block candle high and low) and selects the last element from this order block matrix. The same follows for the latest bearish order block above the current price.
How to Use
An order block refers to a price range or zone on a chart where large institutional orders have been placed, causing a significant shift in market direction. These zones are crucial because they often indicate areas of strong buying or selling interest, which can lead to future support or resistance levels. Traders use order blocks to identify potential points of market reversal or continuation.
The Magic Order Blocks default view shows the most recent overhead bearish order block above the current price, and the most recent bullish order block below. These can presumably act as support or resistance levels, because they reflect the last price where a significant price move occurred. “Significant” meaning that the order block candle was followed by many consecutive bullish or bearish candles. Based on the user-defined settings, it can also mean that price moved multiples of the asset's average true range (ATR). More consecutive candles means that the duration of the move lasted a long time. A higher ATR move indicates that the price moved impulsively in one direction.
The default view also shows a label to the right of the current price that provides the price level, the time stamp of the order block (optional), and a sequence of bars that show the significance of the level. By default, these bars represent the number of ATRs that price rose or fell following the order block, but they can be toggled to show the number of consecutive bullish or bearish candles that followed the order block.
Although the default view provides the zones that are most relevant to the current price, past order block candles can also be identified visually with labels as well with translucent backgrounds color-coded for bullish or bearish bias. Overlapping backgrounds can identify an area that has been repeatedly been an area of support or resistance.
A detailed view of each order block can also be viewed the includes the following data points:
Bar Index
Timestamp
Consecutive Accumulated Volume
Consecutive Bars
Price Change over Consecutive Bars
Price/Volume Ratio Over Consecutive Bars
Mid Price of Order Block
High Price of Order Block
Low Price of Order Block
ATRs over Consecutive Bars
- Other Usage Notes and Limitations:
The calculations used only provide an estimated relationship or a close approximation, and are not exact.
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
Things to keep in mind. Longer timeframes don’t necessarily have a as many consecutive candle drops or gains as with shorter timeframes, so be sure to adjust your settings when moving to 1 hour, 1 day, or 1 week timeframes from 1 minute, 5 minute, or 15 minute timeframes.
MA OrderBlocks [AlgoAlpha]🟨 HMA OrderBlocks by AlgoAlpha is a powerful tool designed to help traders visualize key pivot zones and order blocks based on the Hull Moving Average (HMA). By dynamically identifying bullish and bearish pivot points, this script provides insights into potential price reversals and trend continuations. With customizable settings, it allows traders to tweak the behavior of the indicator to match their strategies. Plus, it comes packed with built-in alerts for trend changes, making it easier to spot potential trade opportunities.
Key Features :
📊 Trend Detection : Utilizes Hull Moving Average to detect the current trend.
🟢🔴 Bullish & Bearish Zones : Automatically plots bullish and bearish order blocks, using customizable colors for clear visual cues.
🎯 Pivot Points : Detects and marks pivot highs and lows, helping traders spot key price reversals.
🚨 Alerts : Built-in alert system for when the price approaches key bullish or bearish zones, or when the trend changes.
🔨 Customizable MA: Choose from various moving averages (SMA, HMA, EMA, etc.) to suit your strategy.
How to Use :
⭐ Add the Indicator : Add the indicators to favourites by pressing the star icon. Once added, configure settings like the Hull MA period and pivot detection period.
📈 Analyze the Chart : Watch for the plotted order blocks and pivot points to identify possible price action strategies.
🔔 Enable Alerts : Set up alerts to be notified of potential trend reversals or when the price nears a bullish/bearish block.
How It Works :
The script starts by calculating the Hull Moving Average (HMA) based on the user-defined length, which is used to determine the market trend direction. It compares the current HMA value with the previous one to confirm whether the price is trending upwards or downwards. Once a trend change is detected, it plots bullish or bearish order blocks based on recent pivot highs and lows. These zones are extended in real-time as long as they remain invalidated. Zones are invalidated are invalidated when price completely closes through them. If the price gets close to a zone in the opposing direction, a warning system alerts the user that the block may not hold. Additionally, customizable alerts trigger whenever the price trend shifts or the price gets near important bullish/bearish blocks. The script’s logic ensures that order blocks are cleared if price violates them, keeping the chart clean and updated.
Average True Range with Price MAATR with Price Moving Average Indicator
This custom indicator combines the Average True Range (ATR) with a Price Moving Average (MA) to help traders analyze market volatility in percent to the price.
Key Components:
Average True Range (ATR)
Price Moving Average (MA)
ATR/Price in Percent
ATR/Price in Percent
Purpose: This ratio helps traders understand the relative size of the ATR compared to the current price, providing a clearer sense of how significant the volatility is in proportion to the price level.
Calculation: ATR is divided by the current closing price and multiplied by 100 to express it as a percentage. This makes it easier to compare volatility across assets with different price ranges.
Plot: This is plotted as a percentage, making it easier to gauge whether the volatility is proportionally high or low compared to the asset's price.
Usage:
This indicator is designed to help identify the most volatile tokens, making it ideal for configuring a Grid Bot to maximize profit. By focusing on high-volatility assets, traders can capitalize on larger price swings within the grid, increasing the potential for more profitable trades.
Features:
Customizable Smoothing Method: Choose from RMA (Relative Moving Average), SMA (Simple Moving Average), EMA (Exponential Moving Average), or WMA (Weighted Moving Average) for both ATR and the Price Moving Average.
Dual Perspective: The indicator provides both volatility analysis (ATR) and trend analysis (Price MA) in a single view.
Proportional Volatility: The ATR/Price (%) ratio adds a layer of context by showing how volatile the asset is relative to its current price.
Deepwave OscillatorParadox Deepwave: A Multi-Layered Volatility Analysis System
Paradox Deepwave is an advanced volatility analysis tool designed to give traders a comprehensive view of market conditions. Unlike traditional volatility indicators, Paradox Deepwave combines multiple facets of volatility analysis into a single, cohesive framework that provides traders with deeper insights into market dynamics.
The Core Concept: Volatility as a Multi-Dimensional Metric
At its core, Paradox Deepwave analyzes market volatility not from one perspective, but through multiple dimensions. It’s built to detect how price movement behaves over time, how it expands and contracts, and how volatility builds before major price moves occur. By measuring volatility from several angles, the tool generates a comprehensive view of market conditions that would be missed by relying on a single indicator.
1. Price Expansion and Contraction as a Volatility Gauge
Paradox Deepwave’s foundation is based on how the market naturally cycles between periods of price expansion (where price swings increase) and price contraction (where volatility diminishes). These cycles are a critical aspect of market behavior, as they often precede breakouts or reversals. Paradox Deepwave tracks these shifts in price movement, allowing traders to get early warnings of increased volatility or upcoming market calm.
This is not just another volatility measure like the ATR; Paradox Deepwave captures how these expansions and contractions evolve across different time periods, giving traders a real-time look at how volatility is building or decaying in the market.
2. Trend Sensitivity and Volatility Interaction
In addition to analyzing price behavior, Paradox Deepwave is built with a dynamic trend sensitivity model. It evaluates whether the market is trending or ranging, and how that interacts with volatility. When price volatility expands in a trending market, Paradox Deepwave adjusts its analysis to capture potential trend accelerations or exhaustion points.
By measuring the relationship between price movement and market volatility, Paradox Deepwave helps traders understand whether current volatility spikes are likely to result in a sustained trend or a quick reversion.
3. Integrated Volatility Scoring System
Paradox Deepwave integrates these layers of volatility into a volatility scoring system. This composite score is built by normalizing various volatility inputs into a single, easy-to-read oscillator. The score dynamically adjusts as volatility in the market shifts, providing a color-coded visual output that helps traders quickly interpret the current volatility level.
• Low Volatility (0-30): Represents stable market conditions, indicating a likely period of price consolidation.
• Moderate Volatility (30-70): Suggests active market conditions, which can present balanced opportunities for traders.
• High Volatility (70-100): Signals heightened market activity, often seen before major market moves or breakouts.
This scoring system isn’t a simple mashup; it’s a thoughtful combination of different volatility layers that are weighed and adjusted dynamically based on real-time market behavior.
Why Paradox Deepwave Stands Out
While many indicators focus on one type of volatility or one aspect of trend analysis, Paradox Deepwave is designed to provide a multi-dimensional perspective. By combining price expansion and contraction with dynamic trend sensitivity, this tool offers traders a nuanced, layered view of volatility that’s adaptable to changing market conditions.
How Paradox Deepwave’s Components Work Together
• Price Expansion and Contraction: These cycles form the basis for detecting changes in volatility levels, providing insight into market rhythm.
• Dynamic Trend Sensitivity: Paradox Deepwave’s trend model adjusts the way it measures volatility based on whether the market is trending or ranging, helping traders anticipate potential trend reversals or breakouts.
• Volatility Scoring System: The output score brings together these different measures of volatility into a single, unified metric that allows traders to see at a glance where the market stands.
Each component serves a distinct purpose, but together they provide a more holistic view of volatility. Paradox Deepwave does not just measure price range; it contextualizes volatility within market trends and price behavior, offering a 360-degree view that helps traders avoid false signals and stay in sync with market movements.
Why Paradox Deepwave Merits Invite-Only Access
Paradox Deepwave is designed for traders who seek a deeper understanding of market volatility and who want a tool that adapts in real-time. This indicator is especially useful for traders looking for a refined volatility analysis that goes beyond typical tools like the ATR or Bollinger Bands.
• Dynamic Volatility Interaction: The way Paradox Deepwave handles volatility is unique in its ability to adjust based on trend conditions and market phases.
• Comprehensive, Multi-Layered Approach: By analyzing volatility from different angles, it gives traders a fuller picture of market conditions and helps them anticipate major market moves. This is far more than a mashup—it’s a system built to address the complexity of market volatility.
• Tailored for Serious Traders: This tool offers real-time, adaptable signals that are suited for traders who need reliable information to make faster, more informed decisions. The invite-only nature ensures that the tool is available to traders who understand the importance of in-depth market analysis.
How to Use Paradox Deepwave
• Navigating Low Volatility: When the score dips below 30, Paradox Deepwave indicates stable market conditions, suggesting that aggressive trading may not be optimal.
• Capitalizing on High Volatility: When volatility spikes above 70, the indicator shows heightened market activity, where short-term trading opportunities might emerge. Traders can use this signal to anticipate breakouts or sudden market reversals.
• Dynamic Adaptation: As market conditions shift, Paradox Deepwave dynamically adjusts its output, making it easy to stay in tune with evolving market rhythms.
Conclusion:
It's important to note that this indicator is a tool to aid your trading decisions, not a guarantee of success. Always use in conjunction with sound risk management strategies. Past performance is not indicative of future results. The inherent uncertainty of the markets means that the effectiveness of any indicator or tool can vary. If you have any questions or need further clarification on how to use this indicator, feel free to reach out. However, please do not use the comments section of the script to request access or ask for likes or follows. All such requests should be made privately.
Multiple Bollinger Bands + Volatility [AlgoTraderPro]This indicator helps traders visualize price ranges and volatility changes. Designed to assist in identifying potential consolidation zones, the indicator uses multiple layers of Bollinger Bands combined with volatility-based shading. This can help traders spot periods of reduced price movement, which are often followed by breakouts or trend reversals.
█ FEATURES
Multiple Bollinger Bands: Displays up to seven bands with customizable standard deviations, providing a layered view of price range activity.
Volatility Measurement: Tracks changes in Bollinger Band width to display volatility percentage and direction (increasing, decreasing, or neutral).
Volatility Shading: Uses color-coded shading between the outermost bands to indicate changes in volatility, helping to visualize potential consolidation zones.
Customizable Inputs: Modify lookback periods, moving average lengths, and standard deviations for each band to tailor the analysis to your strategy.
Volatility Table: Displays a table on the chart showing real-time volatility data and direction for quick reference.
█ HOW TO USE
Add the Indicator: Apply it to your TradingView chart.
Adjust Settings: Customize the Bollinger Bands’ parameters to suit your trading timeframe and strategy.
Analyze Consolidation Zones: Use the multiple bands and volatility shading to identify areas of reduced price activity, signaling potential breakouts.
Monitor Volatility: Refer to the volatility table to track real-time shifts in market volatility.
Use in Different Markets: Adapt the settings for various assets and timeframes to assess market conditions effectively.
█ NOTES
• The indicator is useful in consolidating markets where price movement is limited, offering insights into potential breakout areas.
• Adjust the settings based on asset and market conditions for optimal results.
Donchian Channel Crosses_AITIndicator Name: Donchian Channel Crosses_AIT
Programming Language: Pine Script (TradingView)
Description
The Donchian Channel Crosses_AIT indicator is designed to provide trading signals based on the crossover of two Donchian Channels with different lookback periods. The indicator uses two channels, Donchian Channel A (default 7-day period) and Donchian Channel B (default 30-day period), to detect upward or downward momentum shifts. The signals are generated when the middle line of Donchian Channel A crosses above or below the middle line of Donchian Channel B.
Components
Donchian Channel A:
Default period: 7 days (modifiable by the user).
Middle Line: Calculated as the average of the highest high and lowest low over the period.
The middle line changes color depending on its position relative to Donchian Channel B.
Green: When Donchian Channel A's middle line is above Donchian Channel B's middle line.
Red: When Donchian Channel A's middle line is below Donchian Channel B's middle line.
Donchian Channel B:
Default period: 30 days (modifiable by the user).
Middle Line: Also calculated as the average of the highest high and lowest low over the period.
Always displayed as a white line with a line thickness of 1.
Long Signal:
Triggered when the middle line of Donchian Channel A crosses above the middle line of Donchian Channel B.
Displayed as a yellow triangle pointing up (L) below the price bar.
Short Signal:
Triggered when the middle line of Donchian Channel A crosses below the middle line of Donchian Channel B.
Displayed as a fuchsia triangle pointing down (S) above the price bar.
Settings
Donchian Channel A:
Default period: 7 days (modifiable via user input).
Middle line changes color based on its relationship to Donchian Channel B.
Donchian Channel B:
Default period: 30 days (modifiable via user input).
Middle line is always white and displayed with a line thickness of 1.
Signal Display:
Long Signal: A yellow "L" triangle is displayed when Donchian Channel A’s middle line crosses above Donchian Channel B’s middle line.
Short Signal: A fuchsia "S" triangle is displayed when Donchian Channel A’s middle line crosses below Donchian Channel B’s middle line.
Signals can be toggled on or off using the "Show Signals" setting.
Usage
Trend Confirmation:
Use this indicator to confirm trend direction by monitoring the relationship between Donchian Channel A and Donchian Channel B.
Uptrend: When Donchian Channel A’s middle line is above Donchian Channel B’s middle line (green line for Donchian A).
Downtrend: When Donchian Channel A’s middle line is below Donchian Channel B’s middle line (red line for Donchian A).
Entry and Exit Signals:
Long Signal: Enter a buy position when Donchian Channel A crosses above Donchian Channel B.
Short Signal: Enter a sell position when Donchian Channel A crosses below Donchian Channel B.
Visual Representation:
The Donchian Channels are drawn on the price chart, with Donchian Channel A dynamically changing color depending on its relative position to Donchian Channel B.
Volatility Trend Bands [UAlgo]The Volatility Trend Bands is a trend-following indicator that combines the concepts of volatility and trend detection. Built using the Average True Range (ATR) to measure volatility, this indicator dynamically adjusts upper and lower bands around price movements. The bands act as dynamic support and resistance levels, making it easier to identify trend shifts and potential entry and exit points.
With the ATR multiplier, this indicator effectively captures volatility-based shifts in the market. The use of midline values allows for accurate trend detection, which is displayed through color-coded signals on the chart. Additionally, this tool provides clear buy and sell signals, accompanied by intuitive graphical markers for ease of use.
The Volatility Trend Bands is ideal for traders seeking an adaptive trend-following method that responds to changing market conditions while maintaining robust volatility control.
🔶 Key Features
Dynamic Support and Resistance: The indicator utilizes volatility to create dynamic bands. The upper band acts as resistance, and the lower band acts as support for the price. Wider bands indicate higher volatility, while narrower bands indicate lower volatility.
Customizable Inputs
You can tailor the indicator to your strategy by adjusting the:
Price Source: Select the price data (e.g., closing price) used for calculations.
ATR Length: Define the lookback period for the Average True Range (ATR) volatility measure.
ATR Multiplier: This factor controls the width of the volatility bands relative to the ATR value.
Color Options: Choose colors for the bands and signal arrows for better visualization.
Visual Signals: Arrows ("▲" for buy, "▼" for sell) appear on the chart when the trend changes, providing clear entry point indications.
Alerts: Integrated alerts for both buy and sell conditions, allowing you to receive notifications for potential trade opportunities.
🔶 Interpreting Indicator
Upper and Lower Bands: The upper and lower bands are dynamic, adjusting based on market volatility using the ATR. These bands serve as adaptive support and resistance levels. When price breaks above the upper band, it indicates a potential bullish breakout, signaling a strong uptrend. Conversely, a break below the lower band signals a bearish breakout, indicating a downtrend.
Buy/Sell Signals: The indicator provides clear buy and sell signals at breakout points. A buy signal ("▲") is generated when the price breaks above the upper band, suggesting the start of a bullish trend. A sell signal ("▼") is triggered when the price breaks below the lower band, indicating the beginning of a bearish trend. These signals help traders identify potential entry and exit points at key breakout levels.
Color-Coded Bars: The bars on the chart change color based on the trend direction. Teal bars represent bullish momentum, while purple bars signify bearish momentum. This color coding provides a quick visual cue about the market's current direction.
🔶 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.
VIX Composite MeterThe VIX Composite Meter is a custom trading indicator designed to help identify potential buy and sell signals based on market volatility, specifically through VIX options. The VIX, also known as the "fear gauge," measures market expectations of future volatility. This meter combines several factors — the VIX-to-SPX ratio, moving average deviation, Z-score, and momentum oscillators — to create a single, easy-to-read score that guides trading decisions.
How It Works
Composite Score: The meter calculates a composite score that ranges from 0 to 1 by weighing four metrics:
VIX/SPX Ratio: Indicates relative volatility compared to the S&P 500.
Moving Average Deviation: Shows how far the VIX is from its typical range.
Z-Score: Measures how extreme the current VIX value is relative to its historical average.
Momentum Oscillator (RSI): Helps identify overbought or oversold conditions in the VIX.
Color-Coded Signals:
Green Background: If the score drops below 0.3, the meter suggests buying VIX calls, indicating a low-volatility environment with potential for increase.
Red Background: If the score rises above 0.7, the meter suggests buying VIX puts, indicating a high-volatility environment likely to decrease.
Use Cases
Buy VIX Calls: When the meter turns green, signaling potential future volatility spikes.
Buy VIX Puts: When the meter turns red, suggesting current high volatility is expected to revert lower.
By using the VIX Composite Meter, traders can better time their entries and exits in VIX options, aligning with market conditions for potential profits in periods of changing volatility.
Hedge Fund D. Multiple | viResearchHedge Fund D. Multiple | viResearch
Conceptual Foundation and Innovation
The "Hedge Fund D. Multiple" indicator from viResearch is designed as a comprehensive tool for trend analysis and volatility synchronization across multiple market components. Central to this tool is the D. Multiple, a unique multiplier that simultaneously controls various moving averages, smoothing factors, and volatility measures, ensuring all components remain synchronized. By adjusting this single multiplier, traders can modify the indicator’s sensitivity and adaptability across different market conditions. This cohesive control system streamlines market analysis, making the tool highly effective in professional settings, such as hedge fund environments where swift adjustments are essential.
This indicator was developed as part of a final project study during my time working at a hedge fund, where precision, flexibility, and the ability to control multiple variables in sync were key. The D. Multiple provides a streamlined mechanism to harmonize various elements, allowing for precise yet adaptable market analysis.
Technical Composition and Calculation
The "Hedge Fund D. Multiple" script utilizes the D. Multiple to influence the behavior of several key components, including the Double Hull Moving Average (DHMA), Double Exponential Moving Average (DEMA), standard deviation, and percentile-based median. By applying the D. Multiple across these components, the script ensures that their calculations and sensitivities are synchronized, creating a unified approach to market trend and volatility analysis.
The DHMA and DEMA, which filter market noise while responding quickly to price changes, are both smoothed using lengths dictated by the D. Multiple. The DEMA's smoothing is further applied to generate a dynamic median based on percentiles, providing a clearer central value from which trend deviations are measured. This dynamic median helps traders spot significant price movements that deviate from normal market behavior, aiding in identifying trend reversals.
The D. Multiple also governs the length of the standard deviation calculations, ensuring that the volatility measurements adjust in step with the trend detection methods. This ensures that the volatility-adjusted boundaries reflect real-time market conditions, providing clear thresholds for price action. The D. Multiple controls all of these elements in sync, ensuring the system operates cohesively across trend, volatility, and smoothing components.
Features and User Inputs
The "Hedge Fund D. Multiple" script is built around the D. Multiple input, which allows traders to control the sensitivity of all components at once. By adjusting this multiplier, users can modify the behavior of the DHMA, DEMA, standard deviation ranges, and percentile-based calculations. Additionally, the script provides custom thresholds for defining trend detection and volatility boundaries, enabling traders to tailor the indicator to their specific trading strategies and market conditions.
Practical Applications
The "Hedge Fund D. Multiple" indicator is particularly valuable for professional traders and hedge fund managers who require an efficient yet powerful tool for analyzing market trends and volatility. The D. Multiple simplifies the process of adjusting multiple parameters simultaneously, giving traders greater control over their analysis. This makes the indicator especially effective for:
Adjusting Sensitivity to Market Conditions: The D. Multiple allows traders to fine-tune the entire system’s sensitivity with a single input, enabling them to switch between short-term and long-term analysis easily.
Trend Detection and Reversal Signals: The dynamic median and volatility-adjusted boundaries help provide clear signals when the market is overbought or oversold, improving the accuracy of trend reversal detection.
Managing Volatility in Sync: The D. Multiple controls the volatility measurements and ensures they are synchronized with the trend detection methods, giving traders a clearer view of the market’s risk profile and helping them time their entries and exits more effectively.
Advantages and Strategic Value
The "Hedge Fund D. Multiple" script offers significant advantages by integrating multiple layers of analysis into a single, adaptable tool. The D. Multiple reduces the complexity of adjusting various moving averages, smoothing processes, and volatility measures, offering traders increased precision and control. This synchronization of components makes the indicator a versatile tool that reacts cohesively to market conditions. Developed during a hedge fund project, this tool reflects the adaptability and precision required in professional trading environments. The ability to control multiple components through a single multiplier makes this script particularly effective for hedge fund managers and professional traders looking for a sophisticated yet manageable system for market analysis.
Alerts and Visual Cues
The script includes built-in alert conditions that notify traders when significant trend shifts occur. The "Hedge Fund D. Multiple Long" alert is triggered when an uptrend is detected, while the "Hedge Fund D. Multiple Short" alert signals a potential downtrend. Visual cues, including color changes and shaded volatility zones on the chart, help traders quickly assess market conditions and make timely decisions.
Summary and Usage Tips
The "Hedge Fund D. Multiple | viResearch" indicator provides a streamlined solution for market analysis by integrating trend detection, volatility management, and dynamic smoothing through the use of the D. Multiple. By incorporating this script into your trading strategy, you can adjust multiple components simultaneously, improving your ability to detect trend reversals and manage risk effectively. The "Hedge Fund D. Multiple" offers a powerful, customizable tool that is particularly suited to professional traders who need precision and adaptability in volatile market environments.
Note: Backtests are based on past results and are not indicative of future performance.
Bollinger Bands ForLoopBollinger Bands ForLoop
OVERVIEW
BB ForLoop is an improved version of Bollinger Bands it is designed to calculate an array of values 1 or -1 depending if soruce for calculations is above or below basis.
It takes avereage of values over a range of lengths, providing trend signals smothed based on various moving averages in order to get rid of noise.
It offers flexibility with different signal modes and visual customizations.
TYPE OF SIGNALS
-FAST (MA > MA or MA > 0.99)
-SLOW (MA > 0)
-THRESHOLD CROSSING (when cross above/below treshold set independently for both directions)
-FAST THRESHOLD (when there's change in signal by set margin e.g (0.4 -> 0.2) means bearsih when FT is set to 0.1, when MA is > 0.99 it will signal bullish, when MA < -0.99 it will signal bearish)
Generaly Lime color of line indicates Bullish, Fuchsia indicates Bearish.
This colors are not set in stone so you can change them in settings.
-Bullish Trend, line color is lime
-Bearish Trend, line color is fuchsia
Credit
Idea for this script was from one of indicators created by www.tradingview.com
Warning
Be careful when using this indicator especialy combining DEMA with FT (Fast Treshold).
This indicator can be really noisy depending on the settings, signal mode so it should be used preferably as a part of an strategy not as a stand alone indicator
Remember the lower the timeframe you use the more noise there is.
No single indicator should be used alone when making investment decisions.
EMA-BAND-PIVOT-VCPThis indicator is named "EMA-BAND-PIVOT-VCP" and integrates multiple elements such as moving averages, volume, volatility contraction patterns (VCP), pivot points, and a table to display key market metrics.
Key Features:
Moving Averages: ( 4 - EMA) default settings 20 , 50 ,144 , 200 . Can be changed in settings.
Pivot Highs and Lows:
The script detects pivot highs and pivot lows using customizable left and right lengths and plots labels to mark these points on the chart.
TIG BAND : This is setting of 2 sma - with the high and low of 90 day average which forms like a band . Its a very strong indicator of trend . Buying is suggestable above this .This has to be tested on your own to knowhow it works wonders ( price magnet). Works on all timeframes . (credit : Bhushan Sir from TIG ) .These are the best buy areas.
Volatility Contraction :
It identifies specific price contraction pattern .
vc marked - used 4 candles - first candle is the mother bar ., 2,3 and 4th candles complete range ( high to low ) is within the range of mother candle.
lc marked -here the closing is considered not the wicks. used 8 candles., the 7 candles closing is within the range of motherbar. Crosses are plotted on the last candle
Table Display:
A table is displayed on the chart with data such as EMA values, relative volume (RVol), Average Daily Range (ADR), and volume ratios. This gives a comprehensive overview of current market conditions.(RVol) compared to the 50-period volume SMA, percentage volume change, and other metrics is also displayed.
Smart Signals Assistant [AlgoAlpha]Introduction
The Smart Signals Assistant, developed by AlgoAlpha, is a robust trading tool designed to empower traders of all levels with a flexible, customizable overlay indicator. Built on proprietary logic, this tool can integrate seamlessly with other indicators or be used as a standalone tool and offers powerful market insights, enabling users to tailor their trading strategy by combining different components for unique strategies. Whether you focus on trend-following or mean-reversion strategies, the Smart Signals Assistant is optimized to support you across various market conditions.
Core Features
1. Trend Cipher Component (Trend Identification and Bar Coloring):
The Trend Cipher is the core feature of the Smart Signals Assistant. It offers an intuitive method to detect trends by displaying clear visual signals, such as arrows ("▲" for bullish trends and "▼" for bearish trends). Additionally, signal strength indications are also included where the arrows will have a '+' sign to signify a strong trend, a strong signal is determined when the volatility of prices are increasing. the candlesticks are color-coded to reflect market conditions—green for bullish, red for bearish, and gray when the market is ranging, ranging markets are marked when the prices end up retracing in the opposite direction after a signal is sent, indicating that buyers/sellers are not ready to continue the trend yet. These added layers of confluence allows users to judge if signals provided by the Trend Cipher are high probability signals.
- Exit Signals : "X" marks indicate potential take-profit points when momentum is waning. Users can set a maximum number of exit signals, allowing for greater control over trade management and predictable exit strategies.
- Customization : Users can adjust the period length for the Trend Cipher to suit different market conditions and strategies. For example, a shorter period is more sensitive and responsive to quick shifts in trends, while a longer period offers more stable signals for long-term traders.(longer periods shown below)
2. Trend Bias Component (Long-term Trend Filter and Confirmation):
The Trend Bias acts as a trend confirmation tool. It comes in the form of a smooth band that reflects the central tendency of price movements. It provides a more comprehensive view of whether the price is trend up or down, as well as whether the price is trending strongly or not. It does so by checking if the current momentum of price is stronger relative to the average momentum over a period of time.
As mentioned earlier, the Trend Bias can also act as a marker of central tendency, meaning that users can use the Trend Bias as a dynamic take-profit zone when executing reversal trades.
- When aligned with the Trend Cipher, the Trend Bias helps traders differentiate between strong and weak trends. Bright colors signify a robust trend, while subdued colors signal weakening momentum. This helps users avoid false signals and enter high-probability trades.
3. Fair Value Trail (Entry Optimization):
The Fair Value Trail is a zone-based component that helps users capture optimal entry points, such as when the market is overbought or oversold. By waiting for price retracements into the Fair Value Trail, traders can achieve better pricing and potentially maximize their profits. The Fair Value Trail is unique in the sense that it dynamically adjusts its width according to the market volatility so that the optimal entry area remains as relevant.
- This feature works in conjunction with the Trend Cipher by allowing users to wait for retracement before entering the trade, thus improving their risk-reward ratio.
4. Trend Spine (Range Detection and Filter):
The Trend Spine helps identify periods of price consolidation by flattening the price action into a rigid line. This helps traders avoid entering trades in choppy or directionless markets. The Trend Spine’s values remain unchanged during consolidations, alerting users when to refrain from trading due to a lack of trend direction.
- This feature integrates with other components, providing clearer signals for trading in trending markets while filtering out trades in ranging or consolidating markets.
5. Firmament Cloud (Reversal Zones):
The Firmament Cloud defines zones on the price chart that are considered extreme, indicating overbought or oversold conditions. Price reaching these zones suggests potential reversal points, giving traders additional confirmation to enter or exit trades. The separation of the upper and lower clouds as well of the width of each respective cloud are dynamically adjusted based on the aggressiveness of price movements coupled with user defined settings for some base parameters such as multipliers for separation and width.
- This component works well for traders using a mean-reversion strategy or those looking for early exits during overextended price movements.
Usage and Customization
The Smart Signals Assistant offers a flexible interface, making it simple to adjust settings such as indicator lengths, noise reduction factors, and display options. Key components, such as the Trend Cipher, Trend Bias, and Fair Value Trail, are highly customizable, allowing traders to create a unique trading system tailored to their specific needs. Tooltips accompany most inputs to help users quickly understand how to adjust the tool effectively.
Combining Components for Synergy
1. Trend Cipher and Trend Bias:
By combining the Trend Cipher with the Trend Bias, users receive both short-term and long-term trend confirmations. A bullish signal from the Trend Cipher, when aligned with an upward-trending Trend Bias, significantly enhances the likelihood of a profitable trade, minimizing the chances of acting on premature signals.
2. Fair Value Trail for Entry Optimization:
Rather than immediately acting on a Trend Cipher signal, users can wait for the price to enter the Fair Value Trail. This strategy ensures better entries at premium or discounted prices, maximizing potential returns.
3. Trend Spine for Range Detection:
The Trend Spine works alongside the Trend Cipher to keep traders out of consolidating markets. When the Trend Spine remains flat, it signals a ranging market, advising users to avoid trades during such periods.
4. Firmament Cloud for Reversal Points:
The Firmament Cloud identifies extreme market conditions, marking zones where traders should be cautious about entering trades. When combined with Trend Cipher signals, this component helps users pinpoint overbought or oversold markets, allowing for strategic entries and exits.
Conclusion
The Smart Signals Assistant is more than just a collection of individual indicators. It offers a comprehensive, multi-layered system that provides a deeper understanding of market dynamics, ranging from trend detection to reversal opportunities. The flexibility in customizing its various components allows traders to craft a strategy suited to their style, whether they prefer trend-following or mean-reversion methods. With this tool, traders can enhance decision-making, optimize entries and exits, and navigate both trending and ranging markets more effectively.
Dynamic ALMA with signalsEnhanced ALMA with Signals
This TradingView indicator is designed to enhance your trading strategy by utilizing the Arnaud Legoux Moving Average (ALMA), a unique moving average that provides smoother price action while minimizing lag. The script not only plots the ALMA line but also dynamically adjusts its parameters based on market volatility to adapt to different trading conditions. Additionally, it highlights potential bounce points off the line, as well as breakout points, giving traders clear signals for potential support, resistance levels, and breakouts.
Key Features:
Dynamic ALMA Line with Glow Effect:
The core of this indicator is the ALMA line, which is dynamically adjusted to market volatility, providing more accurate signals in varying conditions. The line adapts to both trending and consolidating markets by adjusting its sensitivity in real time. A glow effect is created by plotting the ALMA line multiple times with increasing transparency, making it visually distinct.
Bounce Detection Signals with Volatility Filter:
The script detects and labels potential support and resistance bounces based on the crossover and crossunder of the price with the ALMA line, further filtered by a volatility condition. This helps in filtering out false signals during low-volatility conditions, making the signals more reliable.
Visual Enhancements:
Custom glow effects and labels for bounce detection enhance chart readability and help traders quickly identify key levels.
Inputs:
Base Window Size: Sets the number of bars used in calculating the ALMA, allowing traders to adjust the sensitivity of the moving average. This parameter is dynamically adjusted based on current market volatility.
Offset: Determines the position of the ALMA curve. Higher values move the curve further away from the price. This value remains constant for stability.
Sigma: Controls the smoothness of the ALMA curve; a higher sigma results in a smoother curve. This value also remains constant.
ATR Period and Threshold Multiplier: Used to calculate the Average True Range (ATR) for the volatility filter, which determines whether the market conditions are sufficiently volatile to consider bounce signals.
How It Works:
Dynamic ALMA Calculation:
The script calculates the ALMA (Arnaud Legoux Moving Average) using the ta.alma function, dynamically adjusting the window size based on market volatility measured by the ATR (Average True Range). This ensures that the ALMA line remains responsive in high-volatility environments and smooth in low-volatility conditions.
Glow Effect:
To create a glow effect around the ALMA line, the script plots the ALMA multiple times with varying degrees of transparency. This visual enhancement helps the ALMA line stand out on the chart.
Bounce Detection with Volatility Filter:
The script uses two conditions to detect potential bounces:
Support Bounce: Detected when the low of the bar crosses above the ALMA line (ta.crossover(low, alma)) and the close is above the ALMA, while the volatility filter confirms sufficient market activity. This suggests potential support at the ALMA line.
Resistance Bounce: Detected when the high of the bar crosses below the ALMA line (ta.crossunder(high, alma)) and the close is below the ALMA, while the volatility filter confirms sufficient market activity. This indicates potential resistance at the ALMA line.
Labeling Bounce Points:
When a bounce is detected, the script labels it on the chart:
Support Bounces (S): Labeled with a blue "S" below the bar where a support bounce is detected.
Resistance Bounces (R): Labeled with a white "R" above the bar where a resistance bounce is detected.
Usage:
This enhanced indicator helps traders visualize key support and resistance levels more effectively by dynamically adjusting the ALMA moving average to market conditions. By detecting and labeling potential bounce points and filtering these signals based on volatility, traders can better identify entry and exit points in their trading strategy. The dynamic adjustments and visual enhancements make it easier to spot critical levels quickly and adapt to changing market conditions.
Customize the inputs to fit your trading style, and use this enhanced ALMA indicator to gain a more refined understanding of market trends, potential reversals, and breakouts.
[ROC3] Rate of Change Candle ColorROC is a statistical indicator which tracks how much a security's price has changed over a certain period, showing whether momentum is picking up or slowing down. It’s a handy tool because it helps traders spot trend changes and understand how strong a trend is.
My ROC3 indicator will color the candlesticks based on the Rate of Change (ROC) and its Exponential Moving Average (EMA). This indicator helps traders visually identify bullish and bearish trends by applying color to the candles, making it easier to spot momentum shifts and trend changes.
How It Works:
Rate of Change (ROC): Calculates the percentage change in the price over a specified number of bars. This indicator measures the speed at which price changes.
EMA of ROC: Applies an Exponential Moving Average to the ROC values to provide a smoothed benchmark. The EMA helps to reduce noise and make trend identification more reliable.
Coloring Logic:
Bullish Candles (Green): When the current ROC is higher than the EMA of the ROC.
Bearish Candles (Red): When the current ROC is lower than the EMA of the ROC.
Settings:
ROC Length (Default: 60): The number of bars used to calculate the Rate of Change. Adjust this parameter to change the sensitivity of the ROC calculation.
ROC EMA Length (Default: 7): The number of bars used to calculate the Exponential Moving Average of the ROC. This length determines how smooth the EMA is. A shorter length reacts faster to price changes, while a longer length provides a smoother, slower response.
How to Use:
Apply the Indicator: Add the Rate of Change Candle Color indicator to your TradingView chart.
Interpret the Colors:
Green Candles: Indicate bullish momentum. The current ROC is greater than its EMA, suggesting upward pressure.
Red Candles: Indicate bearish momentum. The current ROC is less than its EMA, suggesting downward pressure.
Adjust Settings: Customize the ROC Length and ROC EMA Length based on your trading strategy. Shorter ROC lengths may capture more short-term trends, while longer lengths provide a broader view.
Combine with Other Indicators: Use the in conjunction with other technical indicators or chart patterns to enhance your trading analysis.
Example Use Case:
Trend Confirmation: Use the color changes to confirm bullish or bearish trends. Green candles can confirm uptrends, while red candles may signal downtrends or potential reversals.
Momentum Analysis: Monitor how frequently the ROC crosses above or below its EMA to gauge momentum strength and make informed trading decisions.
Note:
This indicator is designed to assist with trend analysis and should be used as part of a broader trading strategy. Always conduct your own research and analysis before making trading decisions.
Cherio...
Sinc Bollinger BandsKaiser Windowed Sinc Bollinger Bands Indicator
The Kaiser Windowed Sinc Bollinger Bands indicator combines the advanced filtering capabilities of the Kaiser Windowed Sinc Moving Average with the volatility measurement of Bollinger Bands. This indicator represents a sophisticated approach to trend identification and volatility analysis in financial markets.
Core Components
At the heart of this indicator is the Kaiser Windowed Sinc Moving Average, which utilizes the sinc function as an ideal low-pass filter, windowed by the Kaiser function. This combination allows for precise control over the frequency response of the moving average, effectively separating trend from noise in price data.
The sinc function, representing an ideal low-pass filter, provides the foundation for the moving average calculation. By using the sinc function, analysts can independently control two critical parameters: the cutoff frequency and the number of samples used. The cutoff frequency determines which price movements are considered significant (low frequency) and which are treated as noise (high frequency). The number of samples influences the filter's accuracy and steepness, allowing for a more precise approximation of the ideal low-pass filter without altering its fundamental frequency response characteristics.
The Kaiser window is applied to the sinc function to create a practical, finite-length filter while minimizing unwanted oscillations in the frequency domain. The alpha parameter of the Kaiser window allows users to fine-tune the trade-off between the main-lobe width and side-lobe levels in the frequency response.
Bollinger Bands Implementation
Building upon the Kaiser Windowed Sinc Moving Average, this indicator adds Bollinger Bands to provide a measure of price volatility. The bands are calculated by adding and subtracting a multiple of the standard deviation from the moving average.
Advanced Centered Standard Deviation Calculation
A unique feature of this indicator is its specialized standard deviation calculation for the centered mode. This method employs the Kaiser window to create a smooth deviation that serves as an highly effective envelope, even though it's always based on past data.
The centered standard deviation calculation works as follows:
It determines the effective sample size of the Kaiser window.
The window size is then adjusted to reflect the target sample size.
The source data is offset in the calculation to allow for proper centering.
This approach results in a highly accurate and smooth volatility estimation. The centered standard deviation provides a more refined and responsive measure of price volatility compared to traditional methods, particularly useful for historical analysis and backtesting.
Operational Modes
The indicator offers two operational modes:
Non-Centered (Real-time) Mode: Uses half of the windowed sinc function and a traditional standard deviation calculation. This mode is suitable for real-time analysis and current market conditions.
Centered Mode: Utilizes the full windowed sinc function and the specialized Kaiser window-based standard deviation calculation. While this mode introduces a delay, it offers the most accurate trend and volatility identification for historical analysis.
Customizable Parameters
The Kaiser Windowed Sinc Bollinger Bands indicator provides several key parameters for customization:
Cutoff: Controls the filter's cutoff frequency, determining the divide between trends and noise.
Number of Samples: Sets the number of samples used in the FIR filter calculation, affecting the filter's accuracy and computational complexity.
Alpha: Influences the shape of the Kaiser window, allowing for fine-tuning of the filter's frequency response characteristics.
Standard Deviation Length: Determines the period over which volatility is calculated.
Multiplier: Sets the number of standard deviations used for the Bollinger Bands.
Centered Alpha: Specific to the centered mode, this parameter affects the Kaiser window used in the specialized standard deviation calculation.
Visualization Features
To enhance the analytical value of the indicator, several visualization options are included:
Gradient Coloring: Offers a range of color schemes to represent trend direction and strength for the moving average line.
Glow Effect: An optional visual enhancement for improved line visibility.
Background Fill: Highlights the area between the Bollinger Bands, aiding in volatility visualization.
Applications in Technical Analysis
The Kaiser Windowed Sinc Bollinger Bands indicator is particularly useful for:
Precise trend identification with reduced noise influence
Advanced volatility analysis, especially in the centered mode
Identifying potential overbought and oversold conditions
Recognizing periods of price consolidation and potential breakouts
Compared to traditional Bollinger Bands, this indicator offers superior frequency response characteristics in its moving average and a more refined volatility measurement, especially in centered mode. These features allow for a more nuanced analysis of price trends and volatility patterns across various market conditions and timeframes.
Conclusion
The Kaiser Windowed Sinc Bollinger Bands indicator represents a significant advancement in technical analysis tools. By combining the ideal low-pass filter characteristics of the sinc function, the practical benefits of Kaiser windowing, and an innovative approach to volatility measurement, this indicator provides traders and analysts with a sophisticated instrument for examining price trends and market volatility.
Its implementation in Pine Script contributes to the TradingView community by making advanced signal processing and statistical techniques accessible for experimentation and further development in technical analysis. This indicator serves not only as a practical tool for market analysis but also as an educational resource for those interested in the intersection of signal processing, statistics, and financial markets.
Related:
Sma Standard Deviation | viResearchSma Standard Deviation | viResearch
Conceptual Foundation and Innovation
The "Sma Standard Deviation" indicator from viResearch combines the benefits of Simple Moving Average (SMA) smoothing with Standard Deviation (SD) analysis, offering traders a powerful tool for understanding price trends and volatility. The SMA provides a straightforward approach to trend detection by calculating the average price over a defined period, while the SD component adds insight into the market's volatility by measuring the variation of prices around the SMA. This combination helps traders identify whether the price is moving within a typical range or deviating significantly, which can signal potential trend shifts or periods of increased volatility. By using both SMA and SD together, this indicator enhances the trader's ability to detect not only the trend direction but also how strongly the market is deviating from that trend, offering more informed decision-making.
Technical Composition and Calculation
The "Sma Standard Deviation" script uses two key elements: the Simple Moving Average (SMA) and Standard Deviation (SD). The SMA is calculated over a user-defined length and represents the smoothed average price over this period. The script also incorporates DEMA smoothing applied to different price sources, providing further refinement to the trend analysis. The SD is calculated by measuring the deviation of the price from the SMA over a separate user-defined length, showing how volatile the price is relative to its average. The script generates upper and lower SD boundaries by adding and subtracting the SD from the SMA, creating a volatility-adjusted range for the price. This allows traders to visualize whether the price is moving within expected bounds or breaking out of its typical range. The script monitors crossovers between the DEMA, SMA, and SD boundaries, generating trend signals based on these interactions.
Features and User Inputs
The "Sma Standard Deviation" script offers several customizable inputs, allowing traders to adjust the indicator to their specific strategies. The SMA Length controls the period for which the moving average is calculated, while the SD Length defines how long the period is for measuring price deviation. Additionally, the DEMA smoothing length can be adjusted for both the trend and standard deviation calculations, giving traders control over how responsive or smooth they want the indicator to be. The script also includes alert conditions that notify traders when trend shifts occur, either to the upside or downside.
Practical Applications
The "Sma Standard Deviation" indicator is designed for traders who want to analyze both market trends and volatility in a unified tool. The combination of the SMA and SD helps traders identify potential trend reversals, as large deviations from the SMA can indicate periods of increased volatility that precede significant price moves. This makes the indicator particularly effective for identifying trend reversals, managing volatility, and improving trend-following strategies. By analyzing when the price moves outside the volatility-adjusted range defined by the SD, traders can detect early signals of potential trend reversals. The SD component helps traders understand how volatile the market is relative to its average price, allowing for more informed decisions in both trending and volatile market conditions. The dual use of DEMA and SMA smoothing allows for a clearer trend signal, helping traders stay aligned with the prevailing market direction while managing the noise caused by short-term volatility.
Advantages and Strategic Value
The "Sma Standard Deviation" script offers significant value by integrating both trend detection and volatility analysis into a single tool. The use of SMA for smoothing price trends, combined with the SD for assessing price volatility, provides a more comprehensive view of the market. This dual approach helps traders filter out false signals caused by short-term fluctuations while identifying potential trend changes driven by increased volatility. This makes the "Sma Standard Deviation" indicator ideal for traders seeking a balance between trend-following and volatility management.
Alerts and Visual Cues
The script includes alert conditions that notify traders when significant trend shifts occur based on price crossovers with the SMA and SD boundaries. The "Sma Standard Deviation Long" alert is triggered when the price crosses above the upper volatility boundary, indicating a potential upward trend. Conversely, the "Sma Standard Deviation Short" alert signals a possible downward trend when the price crosses below the lower boundary. Visual cues, such as changes in the color of the SMA line, help traders quickly identify trend shifts and act accordingly.
Summary and Usage Tips
The "Sma Standard Deviation | viResearch" indicator provides traders with a robust tool for analyzing market trends and volatility. By combining the benefits of SMA smoothing with SD analysis, this script offers a comprehensive approach to detecting trend changes and managing risk. Incorporating this indicator into your trading strategy can help improve your ability to spot trend reversals, understand market volatility, and stay aligned with the broader market direction. The "Sma Standard Deviation" is a reliable and customizable solution for traders looking to enhance their technical analysis in both trending and volatile markets.
Note: Backtests are based on past results and are not indicative of future performance.
[DarkTrader] Strong High LowThe Strong High Low indicator calculates strong high and low pivots based on price action and the Average True Range (ATR). The calculation for both the high and low pivots involves analyzing recent candle behavior to identify significant levels where price reversal is likely. Specifically, it looks for consecutive bearish or bullish candles to determine whether a strong high or low has been established.
Indicator In Use :
For strong highs, the indicator checks if three consecutive candles are bearish, meaning their closing price is lower than their opening price. It further examines prior candles to confirm that they followed a specific pattern where a reversal could occur. If one of these earlier candles closed higher than it opened, the indicator assumes that this was a strong high, and it records either the high of the second or third candle from the pattern, depending on their relationship to each other.
Similarly, for strong lows, the indicator searches for three consecutive bullish candles where the close is higher than the open. The algorithm then reviews prior candles in the sequence to ensure that the market condition supports a potential low pivot. If an earlier candle closes lower than it opens, it marks this as a strong low. The final low point for the pivot is chosen based on a comparison between the second and third candles of the pattern.
Once the high and low pivots are determined, the indicator adjusts these levels using the ATR value. The ATR is added to the strong high pivot and subtracted from the strong low pivot to create slightly modified levels. This helps accommodate market volatility by widening the range of the high and low pivots, making the levels more reliable in reflecting potential reversal zones.
Finally, the strong high and low pivot lines are drawn on the chart, extending both to the left and right of the current price, based on the user-defined offset values. These lines give a visual cue of where key resistance and support levels exist, with labels marking the exact pivot values for easy reference.
Volume Adjusted CandlesTraditional candlestick charts are invaluable for visualizing price movements over time. However, they often lack an explicit representation of trading volume, a key factor that can significantly influence price action. Our Volume Adjusted Candles Indicator fills this gap by incorporating volume directly into the candlesticks, allowing for a more comprehensive analysis.
How Candles are Calculated
Each candlestick in this indicator is adjusted based on the volume of trades that occurred during its timeframe. The process involves segmenting the price range of the trading session into equal parts, known as 'bins'. Each bin represents a segment of the price range, and the volume of trades within each bin influences the final shape and position of the candlestick.
The Formula: The volume adjusted position of each part of the candle (high, low, and close) is calculated using a weighted average formula where each price point is weighted by the volume of trades at that price. This results in a volume-weighted price for each segment of the candle, making it easy to see where the most trading activity occurred and how it impacted price movements.
