[Volatility] [Gain & Loss] - OverviewFX:EURUSD
Indicator Overview: Volatility & Gain/Loss - Forex Pair Analysis
This indicator, " —Overview" , is designed for users interested in analyzing the volatility and gain/loss metrics of multiple forex pairs. The tool is especially useful for traders aiming to assess currency pair volatility alongside gain and loss percentages over selected periods. It enables a clearer understanding of pair behavior and aids in decision-making.
Key Features
Customizable Volatility and Gain/Loss Periods : Define your preferred calculation periods and timeframes for both volatility and gain/loss to tailor the indicator to specific trading strategies. Multi-Pair Analysis : This indicator supports up to six forex pairs (default pairs include EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, and USDCAD) and allows you to adjust these pairs as needed. Visual Ranking : Forex pairs are sorted by volatility, displaying the highest pairs at the top for quick reference. Top Gain/Loss Highlighting : The pair with the maximum gain and the pair with the maximum loss are highlighted in the table, making it easy to identify the best and worst performers at a glance.
Indicator Settings
Volatility Settings : Period : Adjust the number of periods used in the ATR (Average True Range) calculation. A default period of 14 is set. Timeframe : Select a timeframe (e.g., Daily, Weekly) for volatility calculation to match your analysis preference.
Gain/Loss Settings : Period : Choose the number of periods for gain/loss calculation. The default is set to 1. Timeframe : Select the timeframe for gain/loss calculation, independent of the volatility timeframe.
Symbol Selection : Configure up to six forex pairs. By default, popular forex pairs are pre-loaded but can be customized to include other currency pairs.
Output and Visualization
Table Display : This indicator displays data in a neatly structured table positioned in the top-right corner of your chart. Columns : Includes columns for the Forex Pair, Volatility Percentage, Gain Percentage, and Loss Percentage. Color Coding : Volatility is displayed in a standard color for clear readability. Gain values are highlighted in green, and Loss values are highlighted in red, allowing for quick visual differentiation. Highlighting : Rows representing the pair with the highest gain and the pair with the most significant loss are especially highlighted for emphasis.
How to Use
Volatility Analysis : This metric gives insight into the average price range movements for each pair over the specified period and timeframe, helping you evaluate the potential for rapid price changes. Gain/Loss Tracking : Gain or loss percentages show the pair's recent performance, allowing you to observe whether a currency pair is trending positively or negatively over the chosen period. Comparative Pair Ranking : Use the table to identify pairs with the highest volatility and extremes in gain or loss to guide trading decisions based on market conditions.
Ideal For
Swing Traders and Day Traders looking to understand short-term market fluctuations in currency pairs. Risk Management : Helps traders gauge pairs with higher risk (volatility) and recent performance (gain/loss) for informed position sizing and risk control.
This indicator is a comprehensive tool for visualizing and analyzing key forex pairs, making it an essential addition for traders looking to stay updated on volatility trends and recent price changes.
Volatilite
The Ultimate ATR-BBW Market Volatility Indicator"The ATR-BBW Market Volatility Indicator combines the Average True Range (ATR) and Bollinger Bands Width (BBW) to provide a measure of market volatility. This indicator does not indicate bullish or bearish trends, but rather the magnitude of price fluctuations.
* Usage: When the indicator moves upward, it suggests increasing market volatility, indicating that prices are moving within a wider range. Conversely, a downward movement implies decreasing volatility, signifying that prices are moving within a narrower range.
* Note: This sub-indicator solely reflects market volatility and does not provide buy or sell signals.
Investing involves risk. Please conduct thorough research before making any investment decisions.
ATR and BBW Explained:
* Average True Range (ATR): ATR is a technical analysis indicator used to measure market volatility. It calculates the average of a series of true ranges, where the true range is the greatest of the following:
* The current high minus the current low
* The absolute value of the current high minus the previous close
* The absolute value of the current low minus the previous close
* A higher ATR value indicates higher volatility, while a lower value suggests lower volatility.
* Bollinger Bands Width (BBW): Bollinger Bands are plotted two standard deviations above and below a simple moving average. BBW measures the distance between the upper and lower bands. A wider BBW indicates higher volatility, as prices are moving further away from the moving average. Conversely, a narrower BBW suggests lower volatility.
Combining ATR and BBW:
By combining ATR and BBW, the ATR-BBW indicator provides a more comprehensive view of market volatility. ATR captures the overall volatility of the market, while BBW measures the volatility relative to the moving average. Together, they provide a more robust indicator of market conditions and can be used to identify potential trading opportunities.
Why ATR and BBW are Effective for Measuring Volatility:
* ATR directly measures the actual price movement, regardless of the direction.
* BBW shows how much prices are deviating from their average, indicating the strength of the current trend.
* Combined: By combining these two measures, the ATR-BBW indicator provides a more comprehensive and accurate assessment of market volatility.
In essence, the ATR-BBW indicator helps traders understand the magnitude of price fluctuations, allowing them to make more informed trading decisions.
ATR-Based Trend Oscillator with Donchian ChannelsThis script, my Magnum Opus, combines the best elements of trend detection into a powerful ATR-based trend strength oscillator. It has been meticulously engineered to give traders a consistent edge in trend analysis across any asset, including highly volatile markets like crypto and forex. The oscillator normalizes trend strength as a percentage of ATR, smoothing out noise and allowing the oscillator to remain highly responsive while adapting to varying asset volatility.
Key Features:
ATR-Based Oscillator: Measures trend strength in relation to Average True Range, which enhances accuracy and consistency across different assets. By normalizing to ATR, the oscillator produces stable and reliable values that capture shifts in trend momentum effectively.
Dual Moving Averages for Smoothing: This script features two customizable moving averages to help confirm trend direction and strength, making it adaptable for short- and long-term analysis alike.
Donchian Channels for Strength Bounds: A Donchian Channel over the smoothed trend strength oscillator visually bounds strength levels, enabling traders to spot breakout points or reversals quickly.
Ideal for Multi-Asset Trading: The versatility of this indicator makes it a perfect choice across various asset classes, from stocks to forex and cryptocurrencies, maintaining consistency in signals and reliability.
Suggested Pairing: Use this oscillator alongside a directional indicator, such as the Vortex Indicator, to confirm trend direction. This pairing allows traders to understand not only the strength but also the direction of the trend for optimized entry and exit points.
Why This Indicator Will Elevate Your Trading: This trend strength oscillator has been refined to provide clarity and edge for any trader. By incorporating ATR-based normalization, it maintains accuracy in volatile and steady markets alike. The Donchian Channels add structure to trend strength, giving clear overbought and oversold signals, while the two moving averages ensure that lag is minimized without sacrificing accuracy.
Whether you're scalping or trend-trading, this oscillator will enhance your ability to detect and interpret trend strength, making it an essential tool in any trading arsenal.
SecretSauceByVipzOverview:
SecretSauceByVipz is a sophisticated trading indicator designed to help traders identify high-probability buy and sell signals by integrating multiple technical analysis tools. By combining Exponential Moving Averages (EMAs), Average True Range (ATR) buffer zones, Volume Weighted Average Price (VWAP), and Relative Strength Index (RSI) momentum confirmation, this indicator aims to reduce false signals and enhance trading decisions.
Key Features:
Exponential Moving Averages (EMAs):
200-period EMA (Long EMA): Serves as a long-term trend indicator.
8-period EMA (Fast EMA): Captures short-term price movements.
21-period EMA (Slow EMA): Reflects medium-term price trends.
EMA Crossovers: Generates initial buy/sell signals when the fast EMA crosses over or under the slow EMA.
ATR-Based Buffer Zones:
ATR Calculation: Utilizes a 14-period ATR to measure market volatility.
Buffer Zone Multiplier: User-adjustable multiplier (default 1.0) applied to the ATR to create dynamic buffer zones around the 200 EMA.
Buffer Zones: Helps filter out false signals by requiring price to move beyond these zones for certain signals.
Volume Weighted Average Price (VWAP):
VWAP Plotting: Provides an average price weighted by volume, useful for identifying fair value areas and potential support/resistance levels.
Signal Confirmation Logic:
Confirmation Candle: Requires the next candle after a crossover to close in the signal's direction for added reliability.
Early Signals: Triggers when price crosses the 200 EMA and moves beyond the buffer zone, indicating potential early trend changes.
Strong Signals: Occur when both the price crosses the fast EMA and the fast EMA crosses the slow EMA simultaneously.
RSI Momentum Confirmation:
RSI Calculation: Uses a 14-period RSI to gauge market momentum.
Momentum Filter: Confirms signals only when RSI aligns with the trend (above 50 for bullish, below 50 for bearish signals).
Visual Aids:
EMA and VWAP Plots: Overlays the EMAs and VWAP directly on the price chart for easy visualization.
Buffer Zone Lines: Plots the upper and lower buffer zones around the 200 EMA.
Signal Labels:
Buy Signals: Displayed as green "BUY" labels below the bars.
Sell Signals: Displayed as red "SELL" labels above the bars.
How to Use:
Trend Identification:
Use the 200 EMA to determine the overall market trend.
Price above the 200 EMA suggests a bullish trend; below indicates a bearish trend.
Signal Generation:
Confirmed Signals: Wait for the confirmation candle after an EMA crossover before considering entry.
Early Signals: Consider early entries when price crosses the 200 EMA and moves beyond the buffer zone.
Strong Signals: Pay attention to strong signals where both price and EMAs are crossing over, indicating robust trend momentum.
Momentum Confirmation:
Ensure the RSI aligns with the signal direction:
Buy Signals: RSI should be above 50.
Sell Signals: RSI should be below 50.
Adjusting Sensitivity:
Modify the ATR Multiplier and Buffer Multiplier to suit different market conditions and personal trading styles.
A higher multiplier may reduce signal frequency but increase reliability.
Customization Parameters:
ATR Multiplier for Distance Filter (Default: 1.5):
Adjusts the sensitivity of the distance filter based on ATR.
Buffer Multiplier for 200 EMA (Default: 1.0):
Alters the width of the buffer zones around the 200 EMA.
Benefits:
Reduces False Signals: The combination of confirmation candles and buffer zones helps filter out noise.
Enhances Trend Detection: Multiple EMA crossovers provide insights into short-term and medium-term trends.
Incorporates Volatility and Momentum: ATR and RSI ensure signals consider market volatility and momentum.
Disclaimer:
This indicator is a tool to assist in technical analysis and should not be used as the sole basis for trading decisions. Always conduct thorough analysis and consider risk management strategies before executing trades. Past performance is not indicative of future results.
Credits:
Developed by Vipink1203.
Version:
Pine Script Version 5
Reversed Choppiness Index with Donchian Channels and SMAIn the chaotic world of trading, where every tick can lead to joy or despair, traders yearn for clarity amid the noise. They crave a mechanism that not only reveals the underlying market trends but also navigates the turbulent waters of volatility with grace. Enter the Reversed Choppiness Index with Donchian Channels and SMA Smoothing—a sophisticated tool crafted for those who refuse to be swayed by the whims of market noise.
This innovative script harnesses the power of the Choppiness Index, flipping it on its head to unveil the true direction of price movement. Choppiness, in its traditional form, indicates when the market is stuck in a sideways range, characterized by erratic price movements that can leave traders bewildered. High choppiness often signals confusion in the market, where prices oscillate without a clear trend, leading to potential losses. Conversely, low choppiness suggests a trending market, whether bullish or bearish, where trades can yield consistent profits. By reversing the Choppiness Index, this tool highlights lower choppiness levels as opportunities for selling when the market shows stability and momentum—perfect for traders looking to enter or exit positions with confidence.
The Donchian Channels serve as reliable markers, defining the boundaries of price action and helping to paint a clearer picture of market dynamics. Traders should look for breakouts from these channels, which may indicate a significant shift in momentum. When the Reversed Choppiness Index trends lower while price breaks above the upper Donchian Band, it may signal a strong buying opportunity, while a rise in choppiness alongside price dipping below the lower band can indicate a potential selling point.
But that's not all—this tool features a dual-layer of smoothing through two distinct Simple Moving Averages (SMAs). The first SMA gently caresses the Reversed Choppiness Index, softening its edges to reveal the underlying trends. The second SMA adds an extra layer of finesse, ensuring traders can spot significant changes with less noise interference.
In a landscape filled with fleeting opportunities and unpredictable swings, this script stands as a beacon of stability. It allows traders to focus on what truly matters—seizing profitable moments without getting caught in the crossfire of volatility. By understanding the dynamics of choppiness through this reversed lens, traders can more effectively navigate their strategies, capitalizing on clearer signals while avoiding the pitfalls of market noise. Embrace this tool and transform the way you trade; the market's whispers will no longer drown out your strategies, paving the way for informed decisions and greater success.
Adaptive Momentum For Loop Volatility | viResearchAdaptive Momentum For Loop Volatility | viResearch
Conceptual Foundation and Innovation
The "Adaptive Momentum For Loop Volatility" script introduces an innovative approach to momentum and volatility analysis by combining a for-loop system with adaptive momentum calculations. This method leverages a dynamic scoring mechanism within a volatility-based framework, allowing traders to capture trend shifts with sensitivity to recent market volatility. By adapting to changes in price movement, the script provides signals that are both trend-following and volatility-aware.
The script also integrates an Adaptive Trailing Stop feature, which uses an ATR-based volatility stop to dynamically track the trend. This approach is designed to assist traders in positioning themselves effectively during trending markets while staying protected by an adaptive trailing stop when the trend shows signs of reversal.
Technical Composition and Calculation
The "Adaptive Momentum For Loop Volatility" script comprises several technical components to create a responsive momentum and volatility indicator:
Adaptive For-Loop Scoring System: A custom for-loop scoring system evaluates the subject price (typically the close) over a defined range. The loop checks for conditions indicating upward or downward momentum, adjusting the score accordingly. The score then serves as the volatility multiplier for the ATR-based stop.
Volatility Stop Calculation: An ATR-based trailing stop is calculated based on the adaptive score. The stop adjusts in response to the latest score, allowing it to move closer to or further from the price depending on the current volatility.
Range Plot: The script includes an upper and lower boundary based on a percentage deviation from a moving average, giving a sense of possible price movement within the range. This additional visual aid helps traders identify potential overextension points within the trend.
Features and User Inputs
The script includes several customizable inputs, allowing traders to tailor the indicator to specific assets and market conditions:
Length: Controls the period used for the ATR calculation, affecting the responsiveness of the stop. Multiplier: Adjusts the volatility stop’s sensitivity based on recent price action. Percentage for Range Plot: Defines the width of the range plotted around the moving average, offering insights into expected price deviations. Adaptive Scoring Parameters: The for-loop’s scoring range (variables a and b) can be adjusted to fine-tune momentum detection. Alert and Bar Color Customization: Alerts are provided to notify the user of long and short signals. The background and bar colors visually indicate current trend direction.
Practical Applications
This script is ideal for traders who wish to capture both trend and volatility in their trading strategies. Key applications include:
Trend Confirmation and Reversal Detection: The volatility-based stop helps confirm trend direction, making it easier to spot potential reversals.
Adaptive Trailing Stop: The ATR stop protects gains by adjusting dynamically as the market’s volatility changes. Traders can use this feature to manage risk and secure profits in trending markets.
Range Bound Trading: The range plot highlights potential overbought and oversold levels, making it useful for identifying when prices are likely to revert to the mean.
Advantages and Strategic Value
The "Adaptive Momentum For Loop Volatility" script provides a unique blend of momentum and volatility analysis, offering an edge over traditional indicators. Its adaptive nature helps traders stay in trades during strong trends and exit promptly during reversals, reducing exposure to adverse price movements. The customizable parameters make it versatile and adaptable to various asset classes and market conditions.
Summary and Usage Tips
Incorporate the "Adaptive Momentum For Loop Volatility" script into your trading system to enhance trend analysis and risk management. Use the for-loop scoring system to detect early momentum shifts, and rely on the volatility stop to maintain a position until the trend shows signs of exhaustion. Adjust the range plot settings to suit the asset’s typical price movements for a more accurate portrayal of expected price fluctuations. Remember, backtesting across different market conditions is essential to understanding how the script performs and adapting it as needed.
As with all indicators, note that historical results are not indicative of future performance, so complement this tool with other market insights to make well-rounded trading decisions.
Entropy-Based Adaptive SuperTrendOverview:
Introducing the Entropy-Based Adaptive SuperTrend – a groundbreaking trading indicator designed to adapt dynamically to market conditions using market entropy. This enhanced SuperTrend indicator adjusts its sensitivity according to the level of chaos (or order) in price movements, providing more stable signals during volatile periods and more responsive signals when the market becomes orderly.
Key Features:
Entropy-Adaptive Mechanism: By incorporating an entropy measure, this indicator estimates the degree of unpredictability in the market. During high entropy periods (more chaotic), signals are made less sensitive, while during low entropy periods, the indicator reacts more quickly to price changes.
Adaptive ATR Multiplier: Unlike traditional SuperTrend indicators that use a fixed ATR multiplier, this version calculates a dynamic ATR multiplier based on the entropy score, ensuring more flexibility and adaptability in setting stop levels.
Visual Clarity: The indicator is overlayed on the price chart with customizable visual elements. The bullish and bearish trends are color-coded for ease of use, and optional entry signals ("L" for long and "S" for short) are plotted to clearly mark potential entry opportunities.
Alerts for Key Opportunities : Never miss an opportunity with built-in alerts for buy and sell signals. Traders can easily configure these alerts to be notified instantly when market conditions trigger a new trend.
How It Works:
Entropy Calculation: The entropy of the price data is calculated over a user-defined period, giving an indication of the degree of randomness in the price movements. The result is then smoothed to reduce noise and create a meaningful trend indication.
Dynamic ATR Adjustment: The ATR (Average True Range) multiplier, which controls the distance of the trailing stop, is adjusted based on the entropy score. This allows the SuperTrend line to widen in chaotic times, reducing false signals, while tightening in orderly times, allowing quicker trend captures.
Parameters Explained:
Entropy Settings: Control the sensitivity of entropy calculations, including the look-back period, number of bins for price distribution, and smoothing length.
Adaptive Settings: Adjust how the indicator adapts to different levels of entropy, including the adaptation period and the filtering weight.
SuperTrend Settings : Customize the ATR period and the dynamic multiplier range to fine-tune the trailing stops for your trading style.
Visual Settings: Choose your preferred colors for bullish and bearish trends, and decide if you want the entry labels displayed directly on the chart.
Use Cases:
Swing Traders can utilize the indicator to capture trend reversals while filtering out the noise during high entropy periods.
Intraday Traders can adapt the settings for shorter time frames to benefit from dynamic adjustments that reduce overtrading and false signals.
Risk Management: The entropy-based adaptive feature provides an edge in risk management by reducing sensitivity during times of increased chaos, thus helping to limit unnecessary trades.
How to Use It:
Look for entry labels ("L" for long, "S" for short) to identify potential opportunities.
Use the color-coded trendlines to determine market bias: greenish hue for bullish trends, reddish hue for bearish trends.
Customize the input settings to align with your preferred market timeframe and risk profile.
Alerts & Notifications:
Built-in alerts notify you of significant trend changes. Simply enable these alerts to receive updates when a new long or short opportunity is detected, helping you stay ahead without needing to watch the screen constantly.
Customization Tips:
Longer Timeframes : Increase the Entropy Period to better capture macro trends in high timeframe charts.
Higher Volatility Markets: Increase the ATR Max Multiplier to ensure stops are set farther away during high entropy.
Lower Volatility Markets: Use a lower ATR Base Multiplier and tighter entropy thresholds to capture rapid price movements.
Final Thoughts:
The Entropy-Based Adaptive SuperTrend indicator merges traditional trend-following logic with an adaptive mechanism driven by market entropy, aiming to address the challenges of whipsaws and false signals common in conventional SuperTrend setups. This indicator offers an intelligent and flexible way to track market trends, suitable for both beginners and experienced trade
Power Root SuperTrend [AlgoAlpha]📈🚀 Power Root SuperTrend by AlgoAlpha - Elevate Your Trading Strategy! 🌟
Introducing the Power Root SuperTrend by AlgoAlpha, an advanced trading indicator that enhances the traditional SuperTrend by incorporating Root-Mean-Square (RMS) calculations for a more responsive and adaptive trend detection. This innovative tool is designed to help traders identify trend directions, potential take-profit levels, and optimize entry and exit points with greater accuracy, making it an excellent addition to your trading arsenal.
Key Features:
🔹 Root-Mean-Square SuperTrend Calculation : Utilizes the RMS of closing prices to create a smoother and more sensitive SuperTrend line that adapts quickly to market changes.
🔸 Multiple Take-Profit Levels : Automatically calculates and plots up to seven take-profit levels (TP1 to TP7) based on market volatility and the change in SuperTrend values.
🟢 Dynamic Trend Coloring : Visually distinguish between bullish and bearish trends with customizable colors for clearer market visualization.
📊 RSI-Based Take-Profit Signals : Incorporates the Relative Strength Index (RSI) of the distance between the price and the SuperTrend line to generate additional take-profit signals.
🔔 Customizable Alerts : Set alerts for trend direction changes, achievement of take-profit levels, and RSI-based take-profit conditions to stay informed without constant chart monitoring.
How to Use:
Add the Indicator : Add the indicator to favorites by pressing the ⭐ icon or search for "Power Root SuperTrend " in the TradingView indicators library and add it to your chart. Adjust parameters such as the ATR multiplier, ATR length, RMS length, and RSI take-profit length to suit your trading style and the specific asset you are analyzing.
Analyze the Chart : Observe the SuperTrend line and the plotted take-profit levels. The color changes indicate trend directions—green for bullish and red for bearish trends.
Set Alerts : Utilize the built-in alert conditions to receive notifications when the trend direction changes, when each TP level is drawn, or when RSI-based take-profit conditions are met.
How It Works:
The Power Root SuperTrend indicator enhances traditional SuperTrend calculations by applying a Root-Mean-Square (RMS) function to the closing prices, resulting in a more responsive trend line that better reflects recent price movements. It calculates the Average True Range (ATR) to determine the volatility and sets the upper and lower SuperTrend bands accordingly. When a trend direction change is detected—signified by the SuperTrend line switching from above to below the price or vice versa—the indicator calculates the change in the SuperTrend value. This change is then used to establish multiple take-profit levels (TP1 to TP7), each representing incremental targets based on market volatility. Additionally, the indicator computes the RSI of the distance between the current price and the SuperTrend line to generate extra take-profit signals when the RSI crosses under a specific threshold. The combination of RMS calculations, multiple TP levels, dynamic coloring, and RSI signals provides traders with a comprehensive tool for identifying trends and optimizing trade exits. Customizable alerts ensure that traders can stay updated on important market developments without needing to constantly watch the charts.
Elevate your trading strategy with the Power Root SuperTrend indicator and gain a smarter edge in the markets! 🚀✨
Basic RSI Strategy with MFI Description: This Pine Script is a custom trading strategy that combines the power of the RSI (Relative Strength Index) and MFI (Money Flow Index) indicators with additional signal filters and a user-friendly dashboard. The strategy is designed to identify potential entry and exit points based on dynamic conditions, providing an advanced approach to technical analysis and decision-making in trading.
Key Features:
RSI-Based Signals:
Generates buy signals when the RSI-based moving average crosses above specific thresholds (29 and 50).
Generates sell signals when the RSI-based moving average crosses below specific thresholds (50 and 69).
MFI Filtering:
Signals are validated only if the MFI value is within the specified range of 20 to 80, ensuring that signals are generated only when market conditions are favorable.
Dynamic Signal Thresholds:
The script includes adjustable thresholds for the percentage difference between consecutive bars, as well as the range between high and low prices, to refine signal accuracy.
Dashboard:
Displays real-time statistics in the top right corner of the chart, including the total number of signals, the count of buy and sell signals, and the time duration over which these signals were generated.
How to Use:
Settings: Customize the RSI and MFI lengths, along with thresholds for price movement and MFI range. This flexibility allows the strategy to be tailored to different market conditions and timeframes.
Dashboard Insight: Track the strategy's performance in real-time, with an intuitive overview of generated signals and their time distribution on the chart.
Ideal For:
This script is suitable for traders seeking a robust, customizable, and real-time signal generation strategy that combines momentum and volume indicators. The strategy’s unique filtering mechanism provides a higher level of precision, making it an excellent tool for those who prioritize signal accuracy and clarity.
Expected Volatility, Range, and Estimated VolatilityOverview
The Expected Volatility, Expected Range, and Estimated Volatility Indicator helps traders quantify and visualize the expected price movement of a financial instrument based on historical price changes. Unlike traditional historical volatility measures that are annualized, this indicator calculates expected volatility using a proprietary transform model directly from historical price data over a specified period. This provides an immediate, timeframe-specific estimate of expected volatility without annualization, making it more directly applicable to the current trading timeframe.
This indicator should be used with the Mean and Standard Deviation Lines to enhance analysis by combining price distribution and volatility insights.
Inputs
Volatility Period (Bars): Determines the number of bars used to calculate the expected volatility. For accurate visualization, it is recommended to set this period to be the same as the one used in the Mean and Standard Deviation Lines indicator. Adjusting this period can make the indicator more responsive to recent price changes or smooth out short-term fluctuations.
Plot Mode: Choose between "Percent" or "Base Currency" to display the indicator's outputs either as a percentage or in the asset's base currency value.
Outputs
Expected Volatility (Orange Line): Displays the expected volatility calculated using the transform model based on historical price changes over the specified period and serves as a reference for typical market movements and aiding in the identification of high-risk periods or potential breakout opportunities.
Expected Range (Red Line): Represents the expected price movement range based on the expected volatility.
Estimated Volatility (Yellow Line): Provides an alternative volatility measure based on the intraday range (high-low) relative to the previous close, offering additional insights into price fluctuations within each bar.
How to Use
Risk Management
You can use either the Expected Volatility or the Expected Range to set stop-loss and take-profit levels based on your preference. Using the Expected Volatility values will generally result in tighter stop-loss levels, potentially exiting trades earlier, while using the Expected Range may allow for more room to accommodate price fluctuations.
Historical Performance Analysis
Monitor when the Estimated Volatility (yellow line) crosses above the Expected Volatility or Expected Range lines (orange and red lines). Such crossings indicate periods where actual market volatility exceeded expected levels, providing insights into the historical effectiveness of your stop-loss or take-profit strategies.
Combined Analysis with Mean and Standard Deviation Lines
Use this indicator alongside the Mean and Standard Deviation Lines to gain a comprehensive view of both price distribution and volatility. Ensure that the Volatility Period is set to the same value in both indicators for accurate visualization and comparison. This combined approach enhances your ability to identify significant price movements and adjust your trading strategy accordingly.
Trend Analysis
Observe changes in the Expected Volatility values to identify periods of increasing or decreasing market volatility, which may signal potential trend developments or reversals.
Identifying Typical and Extreme Conditions
The Expected Volatility serves as a benchmark for typical market movements, aiding in the identification of high-risk periods or potential breakout opportunities when price action moves beyond this range.
Preference-Based Strategy
Choose between using the Expected Volatility or Expected Range based on your risk tolerance and trading strategy. The Expected Volatility provides a more conservative approach, while the Expected Range allows for greater flexibility in accommodating market fluctuations.
Additional Notes
For accurate visualization, set the Volatility Period to the same value used in the Mean and Standard Deviation Lines indicator. This alignment ensures consistency in your analysis and enhances the reliability of the insights gained from both indicators.
Be mindful that higher volatility periods can present both opportunities and increased risk; appropriate risk management practices are essential.
Important: The Expected Volatility calculated by this indicator is not annualized , unlike traditional historical volatility measures. This makes it directly applicable to the timeframe of your analysis, providing a more immediate estimate of expected price movements.
Mean Reversion Entry Signal
Mean Reversion Entry Signal Indicator
The Mean Reversion Entry Signal indicator is a trading tool designed for traders looking to capitalize on market corrections. This script leverages mean reversion principles, utilizing price levels and the Relative Strength Index (RSI) to generate potential entry signals for both long and short positions.
Key Features:
1. **Dynamic Price Levels**:
- The indicator calculates critical price levels over a user-defined lookback period, including:
- High (H)**: The highest price point over the lookback period.
- Low (L)**: The lowest price point over the lookback period.
- Midpoint (M)**: The average of the high and low.
- Midpoint High (Mh)** and **Midpoint Low (Ml)**: Additional reference levels derived from M for more nuanced trading signals.
2. User-Configurable Inputs:
- Lookback Period: Traders can specify the number of hours to look back for the calculations, allowing for tailored analysis that fits various trading strategies. By default the lookback is set for 24 hours, as i consider it the most adequate for day trading.
- Aggression Level: This input lets users choose their trading strategy's intensity, affecting the sensitivity of entry signals based on the percentage difference from the midpoint.
3. Entry Signal Generation:
The script evaluates market conditions to signal potential trades:
- Long Entries: Indicated when the price is below the Ml level and the price demonstrates a significant distance from the midpoint (M), coupled with RSI being near the oversold territory.
- Short Entries: Triggered when the price exceeds the Mh level, also indicating a significant distance from M, while the RSI indicates near overbought conditions.
4. Visual Indicators:
Clear visual signals are plotted directly on the chart:
- Long Signals are represented as upward triangles in green.
- Short Signals appear as downward triangles in red.
- Important price levels (M, H, L, Mh, and Ml) are displayed to provide traders with immediate context for potential trades.
5. No Entry Zone:
The area between Mh and Ml is shaded to indicate a "No Entry Zone," helping traders identify regions where conditions may not be favorable for taking new positions.
This can also be used as potencial profit taking area.
Conclusion
1. This indicator was built mainly for day trading, using timeframes between 1 minute and 1 hour. If you want to use it in 1D time frame, for instance, you should adjust the lookback period to 120 hours or so.
2. To use this as a strategy, you should not be afraid to "add to your losers" as the trade goes against you and the signals continue to appear.
Enjoy
MACD Cloud with Moving Average and ATR BandsThe algorithm implements a technical analysis indicator that combines the MACD Cloud, Moving Averages (MA), and volatility bands (ATR) to provide signals on market trends and potential reversal points. It is divided into several sections:
🎨 Color Bars:
Activated based on user input.
Controls bar color display according to price relative to ATR levels and moving average (MA).
Logic:
⚫ Black: Potential bearish reversal (price above the upper ATR band).
🔵 Blue: Potential bullish reversal (price below the lower ATR band).
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🟢 Green: Bullish trend (price between the MA and upper ATR band).
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🔴 Red: Bearish trend (price between the lower ATR band and MA).
o
📊 MACD Bars:
Description:
The MACD Bars section is activated by default and can be modified based on user input.
🔴 Red: Indicates a bearish trend, shown when the MACD line is below the Signal line (Signal line is a moving average of MACD).
🔵 Blue: Indicates a bullish trend, shown when the MACD line is above the Signal line.
Matching colors between MACD Bars and MACD Cloud visually confirms trend direction.
MACD Cloud Logic: The MACD Cloud is based on Moving Average Convergence Divergence (MACD), a momentum indicator showing the relationship between two moving averages of price.
MACD and Signal Lines: The cloud visualizes the MACD line relative to the Signal line. If the MACD line is above the Signal line, it indicates a potential bullish trend, while below it suggests a potential bearish trend.
☁️ MA Cloud:
The MA Cloud uses three moving averages to analyze price direction:
Moving Average Relationship: Three MAs of different periods are plotted. The cloud turns green when the shorter MA is above the longer MA, indicating an uptrend, and red when below, suggesting a downtrend.
Trend Visualization: This graphical representation shows the trend direction.
📉 ATR Bands:
The ATR bands calculate overbought and oversold limits using a weighted moving average (WMA) and ATR.
Center (matr): Shows general trend; prices above suggest an uptrend, while below indicate a downtrend.
Up ATR 1: Marks the first overbought level, suggesting a potential bearish reversal if the price moves above this band.
Down ATR 1: Marks the first oversold level, suggesting a possible bullish reversal if the price moves below this band.
Up ATR 2: Extends the overbought range to an extreme, reinforcing the possibility of a bearish reversal at this level.
Down ATR 2: Extends the oversold range to an extreme, indicating a stronger bullish reversal possibility if price reaches here.
Español:
El algoritmo implementa un indicador de análisis técnico que combina la nube MACD, promedios móviles (MA) y bandas de volatilidad (ATR) para proporcionar señales sobre tendencias del mercado y posibles puntos de reversión. Se divide en varias secciones:
🎨 Barras de Color:
- Activado según la entrada del usuario.
- Controla la visualización del color de las barras según el precio en relación con los niveles de ATR y el promedio móvil (MA).
- **Lógica:**
- ⚫ **Negro**: Reversión bajista potencial (precio por encima de la banda superior ATR).
- 🔵 **Azul**: Reversión alcista potencial (precio por debajo de la banda inferior ATR).
- 🟢 **Verde**: Tendencia alcista (precio entre el MA y la banda superior ATR).
- 🔴 **Rojo**: Tendencia bajista (precio entre la banda inferior ATR y el MA).
### 📊 Barras MACD:
- **Descripción**:
- La sección de barras MACD se activa por defecto y puede modificarse según la entrada del usuario.
- 🔴 **Rojo**: Indica una tendencia bajista, cuando la línea MACD está por debajo de la línea de señal (la línea de señal es una media móvil de la MACD).
- 🔵 **Azul**: Indica una tendencia alcista, cuando la línea MACD está por encima de la línea de señal.
- La coincidencia de colores entre las barras MACD y la nube MACD confirma visualmente la dirección de la tendencia.
### 🌥️ Nube MACD:
- **Lógica de la Nube MACD**: Basada en el indicador de convergencia-divergencia de medias móviles (MACD), que muestra la relación entre dos medias móviles del precio.
- **Líneas MACD y de Señal**: La nube visualiza la relación entre la línea MACD y la línea de señal. Si la línea MACD está por encima de la de señal, indica una tendencia alcista potencial; si está por debajo, sugiere una tendencia bajista.
### ☁️ Nube MA:
- **Relación entre Medias Móviles**: Se trazan tres medias móviles de diferentes períodos. La nube se vuelve verde cuando la media más corta está por encima de la más larga, indicando una tendencia alcista, y roja cuando está por debajo, sugiriendo una tendencia bajista.
- **Visualización de Tendencias**: Proporciona una representación gráfica de la dirección de la tendencia.
### 📉 Bandas ATR:
- Las bandas ATR calculan límites de sobrecompra y sobreventa usando una media ponderada y el ATR.
- **Centro (matr)**: Muestra la tendencia general; precios por encima indican tendencia alcista y debajo, bajista.
- **Up ATR 1**: Marca el primer nivel de sobrecompra, sugiriendo una reversión bajista potencial si el precio sube por encima de esta banda.
- **Down ATR 1**: Marca el primer nivel de sobreventa, sugiriendo una reversión alcista potencial si el precio baja por debajo de esta banda.
- **Up ATR 2**: Amplía el rango de sobrecompra a un nivel extremo, reforzando la posibilidad de reversión bajista.
- **Down ATR 2**: Extiende el rango de sobreventa a un nivel extremo, sugiriendo una reversión alcista más fuerte si el precio alcanza esta banda.
Nova Volume Indicator (NVI) by SplitzMagicNova Volume Indicator
The Nova Volume Indicator is an innovative trading tool designed to enhance your trading strategy by analysing volume momentum and market dynamics. This indicator empowers traders to make informed decisions by providing clear and actionable buy and sell signals based on real-time data.
How It Works:
The Nova Volume Indicator utilizes advanced algorithms to assess volume changes and price movements. Key features include:
Volume Momentum Calculation: By evaluating the relationship between price changes and volume, the indicator identifies significant momentum shifts, enabling traders to pinpoint entry and exit points with precision.
Trend Direction Filter: The indicator includes a price filter that determines the prevailing market trend based on a moving average. This ensures that trades align with the overall market direction, enhancing the probability of success.
Alert System: With customizable alert thresholds, users receive notifications when momentum crosses defined levels, keeping them informed of potential trading opportunities without the need for constant monitoring.
No Trade Signal: A black background on the histogram indicates that there are no valid trading opportunities at that moment. Use this feature to avoid entering trades during uncertain market conditions.
How to Use the Nova Volume Indicator for Entries:
Identifying the Trend: Before making any trades, check the indicator's trend direction. If the price is above the moving average, focus on bullish signals; if below, look for bearish signals.
Spotting Entries:
Buy Signal: Look for a green histogram bar indicating positive volume momentum. Enter a trade at the close of the candle when the momentum score exceeds your alert threshold and the price is above the moving average.
Sell Signal: A red histogram bar signals negative volume momentum. Enter a short position at the close of the candle when the momentum score falls below the alert threshold and the price is below the moving average.
Setting Stops and Targets: Place your stop-loss below the recent swing low for buy trades or above the recent swing high for sell trades. Aim for a minimum 1:2 risk-to-reward ratio to maximize your profitability.
Customizable Settings:
The Nova Volume Indicator offers several input settings to help you tailor the indicator to your unique trading style:
Signal Period: Adjust the period for calculating the signal line (EMA of momentum score). A shorter period reacts quickly, while a longer one smooths the signals.
Volatility Period: Control the lookback period for assessing market volatility. Shorter periods capture recent fluctuations, and longer periods provide a broader view of price behavior.
Price Filter MA Length: Set the period for the moving average used to filter trades based on price action, helping determine the trend direction.
Alert Threshold: Define the level at which the indicator signals potential buying or selling opportunities. Customize this setting to suit your trading preferences.
The Nova Volume Indicator is a powerful addition to any trader’s toolkit, designed to simplify decision-making and improve trading outcomes. Whether you're a beginner or a seasoned trader, this indicator offers the insights you need to navigate the markets confidently. Explore its customizable features to create a unique trading experience tailored to your needs. Start using the Nova Volume Indicator today and elevate your trading journey!
Any questions you may have or if you have anything to input to improve this then please leave a comment.
Trendfilter AD1
The "Trendfilter AD1" indicator is a versatile tool for trend detection that combines volume changes, price ranges, ATR (Average True Range), and moving averages. It also considers the momentum of True High/Low over a specified period (PROFF). The indicator integrates various mathematical calculations to measure market trends and volatility. Key features include the use of Powerbar colors, which indicate significant activity from large market participants.
Trendfilter LW
The Trendfilter LW section of the script calculates trend strength by comparing short-term and long-term simple moving averages (SMA) of closing prices, and by assessing cumulative price differences. The result is displayed as a histogram, with positive values indicating bullish trends and negative values indicating bearish trends. This helps traders visualize the strength and direction of long-term and short-term trends.
Trendfilter SP
The Trendfilter SP section combines volume changes, ATR data, and Z-score calculations to smooth out trend signals and provide a clearer assessment of market trends. It uses these data points to filter out noise and highlight significant trend changes. The combined Z-score, smoothed by an EMA, offers precise trend indications and helps traders identify whether the prevailing market forces are bullish or bearish.
What is it for?
The indicator helps traders identify trends and assess market volatility. By combining volume and price movements, it highlights potential trend reversals and shifts in market strength. The calculation of True High/Low (PROFF) measures market momentum over a set period, providing insights into price dynamics. The indicator also uses color-coded bars to represent different levels of market activity and trend strength, with Powerbar colors specifically highlighting major market moves driven by large traders.
How is it used?
Traders can customize the indicator through settings such as Volume Change Periods, EMA periods, and the True High/Low period (PROFF). The indicator generates signals based on significant volume and price fluctuations, with trends displayed through color-coded bars. The Trendfilter LW section calculates trend strength using SMA and cumulative price differences, while the Trendfilter SP section combines volume and ATR data with Z-score calculations to smooth out trend signals. These elements together provide a clear picture of market direction and strength.
Multi-Currency Economic IndicatorCreating a Multi-Currency Economic Indicator that incorporates data for USD, JPY, AUD, GBP, CHF, NZD, and CAD will provide valuable insights into the economic health of these currencies. By plotting key economic indicators such as interest rates and allowing for customization, users can effectively analyze and make informed decisions.
If you have any further modifications or specific features you would like to add, feel free to let me know!
Wave Hunter [BRTLab]🔍 Overview
BRTLab - Wave Hunter is an advanced trading indicator that combines custom Average True Range (ATR) levels and a custom Exponential Moving Average (EMA) trend filter to pinpoint trending movements and reversal points with high accuracy. Designed for traders in volatile markets, particularly cryptocurrencies, where precise signaling is crucial, Wave Hunter dynamically adjusts its entry and exit signals to align with changing market conditions, filtering out noise and focusing on significant trends.
The indicator features customizable parameters, such as Hunter Strength and Wave Strength, both of which respond dynamically to price volatility. Hunter Strength, based on an adaptive ATR calculation, adjusts to volatility, helping traders recognize critical market shifts, while Wave Strength leverages a custom EMA that adapts to recent price movements for enhanced trend detection. This dual adaptability helps traders capture high-probability trades and align with broader market trends, reducing the risk of false entries.
Wave Hunter stands out from other indicators due to the seamless interaction between its components. The tool adjusts dynamically according to current market behavior, offering a precise method for identifying trends and momentum shifts. Customizable settings further enhance flexibility and accuracy, enabling traders to fine-tune the indicator to suit individual trading strategies.
🔑 Key Features and Parameters
Hunter Strength (Custom ATR): This parameter is based on an adaptive ATR calculation that directly responds to price volatility, dynamically adjusting ATR levels to capture critical market movements.
Increased Volatility: When volatility rises, Hunter Strength becomes more responsive, adjusting ATR levels closer to current prices. This responsiveness helps traders identify emerging, high-momentum moves, enabling prompt positioning in fast-changing conditions.
Decreased Volatility: During low-volatility periods, Hunter Strength smooths out ATR levels, reducing sensitivity to minor price changes and allowing traders to focus on more substantial, sustained trends.
Wave Strength (Custom EMA): This parameter is built upon a custom EMA calculation that enhances trend detection by adjusting its smoothing factor (alpha) based on volatility. By comparing recent price changes with average volatility, it adapts its responsiveness:
Increased Volatility: In periods of high volatility, the EMA’s adjusted alpha increases, making it more reactive to recent price trends. This responsiveness helps traders capture emerging trends promptly.
Decreased Volatility: When volatility is lower, the adjusted alpha reduces, smoothing the EMA to filter out minor fluctuations. This helps align the EMA with broader, sustained trends and reduces the occurrence of false signals.
The adaptability of both Custom ATR and Custom EMA components ensures that Wave Hunter aligns closely with current market conditions, providing a nuanced, high-precision approach to trend and reversal detection.
Candle Color Indication: Green for uptrends and red for downtrends, offering clear visual confirmation of trend directions and critical levels.
These features make Wave Hunter an adaptable tool, allowing traders to minimize noise and focus on key market movements.
⚙️ Signals and Logic
Wave Hunter generates Buy/Sell signals by integrating adaptive ATR and custom EMA filtering:
Buy Signal: Triggered when the price crosses the Custom ATR level upwards, confirmed by the bullish custom EMA.
Sell Signal: Occurs when the price crosses the Custom ATR level downwards, confirmed by the bearish custom EMA.
This multi-tiered confirmation system enables traders to act on high-probability signals, reducing risk and optimizing entry and exit points.
🌟 Why It's Unique
ATR and Custom EMA Integration: The combination of Custom ATR and Custom EMA components creates a robust framework for detecting market trends. ATR captures significant market movements, while the Custom EMA provides trend confirmation, ensuring signals are triggered only when both align. This reduces the likelihood of responding to minor fluctuations and false signals.
Customizable Sensitivity: Hunter Strength and Wave Strength parameters give traders control over the indicator’s responsiveness. Hunter Strength dictates Custom ATR reactivity to price movements, while Wave Strength adjusts the custom EMA for trend confirmation. This adaptability ensures effectiveness across different market scenarios, enhancing usability for both short-term and long-term strategies.
🔶 Usage
For Example trading with Wave Hunter can be approached in two primary ways:
Signal-Based Trading: Enter trades based on buy and sell signals triggered by price crossing adaptive ATR levels.
Support and Resistance Trading: Use trend lines as support and resistance levels to enter trades as price approaches these lines, provided the trend suggests continuation. Traders should remember that the longer a trend persists, the higher the reversal risk as the price nears trend levels.
✅ Conclusion
BRTLab - Wave Hunter is a powerful and flexible indicator for identifying significant trends across various market conditions. By combining custom ATR levels and custom EMA filtering, it provides precise signals for entry and exit, making it suitable for diverse trading strategies—from short-term trades to swing positions. This comprehensive approach supports traders in making informed, data-driven decisions.
⚠️ Risk Disclaimer
Trading involves significant risk, and most day traders experience losses. All content, tools, scripts, articles, and educational materials provided by BRTLab are for informational and educational purposes only. Past performance does not guarantee future results.
Dema Percentile Standard DeviationDema Percentile Standard Deviation
The Dema Percentile Standard Deviation indicator is a robust tool designed to identify and follow trends in financial markets.
How it works?
This code is straightforward and simple:
The price is smoothed using a DEMA (Double Exponential Moving Average).
Percentiles are then calculated on that DEMA.
When the closing price is below the lower percentile, it signals a potential short.
When the closing price is above the upper percentile and the Standard Deviation of the lower percentile, it signals a potential long.
Settings
Dema/Percentile/SD/EMA Length's: Defines the period over which calculations are made.
Dema Source: The source of the price data used in calculations.
Percentiles: Selects the type of percentile used in calculations (options include 60/40, 60/45, 55/40, 55/45). In these settings, 60 and 55 determine percentile for long signals, while 45 and 40 determine percentile for short signals.
Features
Fully Customizable
Fully Customizable: Customize colors to display for long/short signals.
Display Options: Choose to show long/short signals as a background color, as a line on price action, or as trend momentum in a separate window.
EMA for Confluence: An EMA can be used for early entries/exits for added signal confirmation, but it may introduce noise—use with caution!
Built-in Alerts.
Indicator on Diffrent Assets
INDEX:BTCUSD 1D Chart (6 high 56 27 60/45 14)
CRYPTO:SOLUSD 1D Chart (24 open 31 20 60/40 14)
CRYPTO:RUNEUSD 1D Chart (10 close 56 14 60/40 14)
Remember no indicator would on all assets with default setting so FAFO with setting to get your desired signal.
TradingIQ - Reversal IQIntroducing "Reversal IQ" by TradingIQ
Reversal IQ is an exclusive trading algorithm developed by TradingIQ, designed to trade trend reversals in the market. By integrating artificial intelligence and IQ Technology, Reversal IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Reversal IQ
Reversal IQ integrates IQ Technology (AI) with the timeless concept of reversal trading. Markets follow trends that inevitably reverse at some point. Rather than relying on rigid settings or manual judgment to capture these reversals, Reversal IQ dynamically designs, creates, and executes reversal-based trading strategies.
Reversal IQ is designed to work straight out of the box. In fact, its simplicity requires just one user setting, making it incredibly straightforward to manage.
AI Aggressiveness is the only setting that controls how Reversal IQ works.
Traders don’t have to spend hours adjusting settings and trying to find what works best - Reversal IQ handles this on its own.
Key Features of Reversal IQ
Self-Learning Reversal Detection
Employs AI and IQ Technology to identify trend reversals in real-time.
AI-Generated Trading Signals
Provides reversal trading signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
AI-Determined Profit Target and Stop Loss
Position exit levels are clearly defined and calculated by the AI once the trade is entered.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Configurable AI Aggressiveness
Allows users to adjust the AI's aggressiveness to match their trading style and risk tolerance.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
IQ Channel
The IQ Channel represents what Reversal IQ considers a tradable long opportunity or a tradable short opportunity. The channel is dynamic and adjusts from chart to chart.
IQMA – Proprietary Moving Average
Introduces the IQ Moving Average (IQMA), designed to classify overarching market trends.
IQCandles – Trend Classification Tool
Complements IQMA with candlestick colors designed for trend identification and analysis.
How It Works
Reversal IQ operates on a straightforward heuristic: go long during an extended downside move and go short during an extended upside move.
What defines an "extended move" is determined by IQ Technology, TradingIQ's exclusive AI algorithm. For Reversal IQ, the algorithm assesses the extent to which historical high and low prices are breached. By learning from these price level violations, Reversal IQ adapts to trade future, similar violations in a recurring manner. It calculates a price area, distant from the current price, where a reversal is anticipated.
In simple terms, price peaks (tops) and troughs (bottoms) are stored for Reversal IQ to learn from. The degree to which these levels are violated by subsequent price movements is also recorded. Reversal IQ continuously evaluates this stored data, adapting to market volatility and raw price fluctuations to better capture price reversals.
What classifies as a price top or price bottom?
For Reversal IQ, price tops are considered the highest price attained before a significant downside reversal. Price bottoms are considered the lowest price attained before a significant upside reversal. The highest price achieved is continuously calculated before a significant counter trend price move renders the high price as a swing high. The lowest price achieved is continuously calculated before a significant counter trend price move renders the low price as a swing low.
The image above illustrates the IQ channel and explains the corresponding prices and levels
The blue lower line represents the Long Reversal Level, with the price highlighted in blue showing the Long Reversal Price.
The red upper line represents the Short Reversal Level, with the price highlighted in red showing the Short Reversal Price.
Limit orders are placed at both of these levels. As soon as either level is touched, a trade is immediately executed.
The image above shows a long position being entered after the Long Reversal Level was reached. The profit target and stop loss are calculated by Reversal IQ
The blue line indicates where the profit target is placed (acting as a limit order).
The red line shows where the stop loss is placed (acting as a stop loss order).
Green arrows indicate that the strategy entered a long position at the highlighted price level.
You can also hover over the trade labels to get more information about the trade—such as the entry price, profit target, and stop loss.
The image above demonstrates the profit target being hit for the trade. All profitable trades are marked by a blue arrow and blue line. Hover over the blue arrow to obtain more details about the trade exit.
The image above depicts a short position being entered after the Short Reversal Level was touched. The profit target and stop loss are calculated by the AI
The blue line indicates where the profit target is placed (acting as a limit order).
The red line shows where the stop loss is placed (acting as a stop loss order).
The image above shows the profit target being hit for the short trade. Profitable trades are indicated by a blue arrow and blue line. Hover over the blue arrow to access more information about the trade exit.
Long Entry: Green Arrow
Short Entry: Red Arrow
Profitable Trades: Blue Arrow
Losing Trades: Red Arrow
IQMA
The IQMA implements a dynamic moving average that adapts to market conditions by adjusting its smoothing factor based on its own slope. This makes it more responsive in volatile conditions (steeper slopes) and smoother in less volatile conditions.
The IQMA is not used by Reversal IQ as a trade condition; however, the IQMA can be used by traders to characterize the overarching trend and elect to trade only long positions during bullish conditions and only short positions during bearish conditions.
The IQMA is an adaptive smoothing function that applies a combination of multiple moving averages to reduce lag and noise in the data. The adaptiveness is achieved by dynamically adjusting the Volatility Factor (VF) based on the slope (derivative) of the price trend, making it more responsive to strong trends and smoother in consolidating markets.
This process effectively makes the moving average a self-adjusting filter, the IQMA attempts to track both trending and ranging market conditions by dynamically changing its sensitivity in response to price movements.
When IQMA is blue, an overarching uptrend is in place. When IQMA is red, an overarching downtrend is in place.
IQ Candles
IQ Candles are price candles color-coordinated with IQMA. IQ Candles help visualize the overarching trend and are not used by Reversal IQ to determine trade entries and trade exits.
AI Aggressiveness
Reversal IQ has only one setting that controls its functionality.
AI Aggressiveness controls the aggressiveness of the AI. This setting has three options: Sniper, Aggressive, and Very Aggressive.
Sniper Mode
In Sniper Mode, Reversal IQ will prioritize trading large deviations from established reversal levels and extracting the largest countertrend move possible from them.
Aggressive Mode
In Aggressive Mode, Reversal IQ still prioritizes quality but allows for strong, quantity-based signals. More trades will be executed in this mode with tighter stops and profit targets. Aggressive mode forces Reversal IQ to learn from narrower raw-dollar violations of historical levels.
Very Aggressive Mode
In Very Aggressive Mode, Reversal IQ still prioritizes the strongest quantity-based signals. Stop and target distances aren't inherently affected, but entries will be aggressive while prioritizing performance. Very Aggressive mode forces Reversal IQ to learn from narrower raw-dollar violations of historical levels and also forces it to embrace volatility more aggressively.
AI Direction
The AI Direction setting controls the trade direction Reversal IQ is allowed to take.
“Both” allows for both long and short trades.
“Long” allows for only long trades.
“Short” allows for only short trades.
Verifying Reversal IQ’s Effectiveness
Reversal IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in a table located in the top-right corner of your chart.
The image above shows the long strategy profit factor and the short strategy profit factor for Reversal IQ.
A profit factor greater than 1 indicates a strategy profitably traded historical price data.
A profit factor less than 1 indicates a strategy unprofitably traded historical price data.
A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data.
Using Reversal IQ
While Reversal IQ is a full-fledged trading system with entries and exits, it was designed for the manual trader to take its trading signals and analysis indications to greater heights - offering numerous applications beyond its built-in trading system.
The hallmark feature of Reversal IQ is its sniper-like reversal signals. While exits are dynamically calculated as well, Reversal IQ simply has a knack for "sniping" price reversals.
When performing live analysis, you can use the IQ Channel to evaluate price reversal areas, whether price has extended too far in one direction, and whether price is likely to reverse soon.
Of course, in times of exuberance or panic, price may push through the reversal levels. While infrequent, it can happen to any indicator.
The deeper price moves into the bullish reversal area (blue) the better chance that price has extended too far and will reverse to the upside soon. The deeper price moves into the bearish reversal area (red) the better chance that price has extended too far and will reverse to the downside soon.
Of course, you can set alerts for all Reversal IQ entry and exit signals, effectively following along its systematic conquest of price movement.
TradingIQ - Impulse IQIntroducing "Impulse IQ" by TradingIQ
Impulse IQ is an exclusive trading algorithm developed by TradingIQ, designed to trade breakouts and established trends. By integrating artificial intelligence and IQ Technology, Impulse IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Impulse IQ
Impulse IQ combines IQ Technology (AI) with the classic principles of trend and breakout trading. Recognizing that markets inherently follow trends that need to persist for significant price movements to unfold, Impulse IQ eliminates the need for rigid settings or manual intervention.
Instead, it dynamically develops, adapts, and executes trend-based trading strategies, enabling a more responsive approach to capturing meaningful market opportunities.
Impulse IQ is designed to work straight out of the box. In fact, its simplicity requires just one user setting, making it incredibly straightforward to manage.
Strategy type is the only setting that controls Impulse IQ’s functionality.
Traders don’t have to spend hours adjusting settings and trying to find what works best - Impulse IQ handles this on its own.
Key Features of Impulse IQ
Self-Learning Breakout Detection
Employs IQ Technology to identify breakouts.
AI-Generated Trading Signals
Provides breakout trading signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
AI-Determined Trailing Profit Target and Stop Loss
Position exit levels are clearly defined and calculated by the AI once the trade is entered.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
IQ Meter
The IQ Meter details where price is trading relative to a higher timeframe trend and lower timeframe trend. Fibonacci levels are interlaced along the meter, offering unique insights on trend retracement opportunities.
Self Learning, Multi Timeframe IQ Zig Zags
The Zig Zag IQ is a self-learning, multi-timeframe indicator that adapts to market volatility, providing a clearer representation of market movements than traditional zig zag indicators.
Dual Strategy Execution
Impulse IQ integrates two distinct strategy types: Breakout and Cheap (details explained later).
How It Works
Before diving deeper into Impulse IQ, it's essential to understand the core terminology:
Zig Zag IQ : A self-learning trend and breakout identification mechanism that serves as the foundation for Impulse IQ. Although it belongs to the “Zig Zag” class of technical indicators, it's powered by IQ Technology.
Impulse IQ : A self-learning trading strategy that executes trades based on Zig Zag IQ. Zig Zag IQ identifies market trends, while Impulse IQ adapts, learns, and executes trades based on these trend characterizations.
Impulse IQ operates on a simple heuristic: go long during upside volatility and go short during downside volatility, essentially capturing price breakouts.
The definition of a “price breakout” is determined by IQ Technology, TradingIQ's exclusive AI algorithm. In Impulse IQ, the algorithm utilizes two IQ Zig Zags (self-learning, multi-timeframe zig zags) to analyze and learn from market trends.
It identifies breakout opportunities by recognizing violations of established price levels marked by the IQ Zig Zags. Impulse IQ then adapts and evolves to trade similar future violations in a recurring and dynamic manner.
Put simply, IQ Zig Zags continuously learn from both historical and real-time price updates to adjust themselves for an "optimal fit" to price data. The aim is to adapt so that the marked price tops and bottoms, when violated, reveal potential breakout opportunities.
The strategy layer of IQ Zig Zags, known as Impulse IQ, incorporates an additional level of self-learning with IQ Technology. It learns from breakout signals generated by the IQ Zig Zags, enabling it to dynamically identify and signal tradable breakouts. Moreover, Impulse IQ learns from historical price data to manage trade exits.
All positions start with an initial fixed stop loss and a trailing stop target. Once the trailing stop target is reached, the fixed stop loss converts into a trailing stop, allowing Impulse IQ to remain in the breakout/trend until the trailing stop is triggered.
What Classifies as a Breakout, Price Top, and Price Bottom?
For Impulse IQ:
Price tops are considered the highest price achieved before a price bottom forms.
Price bottoms are the lowest price reached before a price top forms.
For price tops, the highest price continues to be calculated until a significant downside price move occurs. Similarly, for price bottoms, the lowest price is calculated until a significant upside price move happens.
What distinguishes Zig Zag IQ from other zig zag indicators is its unique mechanism for determining a "significant counter-trend price move." Zig Zag IQ evaluates multiple fits to identify what best suits the current market conditions. Consequently, a "significant counter-trend price move" in one market might differ in magnitude from what’s considered "significant" in another, allowing it to adapt to varying market dynamics.
For example, a 1% price move in the opposite direction might be substantial in one market but not in another, and Zig Zag IQ figures this out internally.
The image above illustrates the IQ Zig Zags in action. The solid Zig Zag IQ lines represent the most recent price move being calculated, while the dotted, shaded lines display historical price moves previously analyzed by IQ Zig Zag.
Notice how the green zig zag aligns with a larger trend, while the purple zig zag follows a smaller trend. This mechanism is crucial for generating breakout signals in Impulse IQ: for a position to be entered, the breakout of the smaller trend must occur in the same direction as the larger trend.
The image above depicts the IQ Meters—an exclusive TradingIQ tool designed to help traders evaluate trend strength and retracement opportunities.
When the lower timeframe Zig Zag IQ and the higher timeframe Zig Zag IQ are out of sync (i.e., one is uptrending while the other is downtrending, with no active positions), the meters display a neutral color, as shown in the image.
The key to using these meters is to identify trend unison and pinpoint key trend retracement entry opportunities. Fibonacci retracement levels for the current trend are interlaced along each meter, and the current price is converted to a retracement ratio of the trend.
These meters can mathematically determine where price stands relative to the larger and smaller trends, aiding in identifying entry opportunities.
The top of each meter indicates the highest price achieved during the current price move.
The bottom of each meter indicates the lowest price achieved during the current price move.
When both the larger and smaller trends are in sync and uptrending, or when a long position is active, the IQ meters turn green, indicating uptrend strength.
When both trends are in sync and downtrending, or when a short position is active, the IQ meters turn red, indicating downtrend strength.
The image above shows the Point of Change for both the larger and smaller Zig Zag IQ trends. A distinctive feature of Zig Zag IQ is its ability to calculate these turning points in advance—unlike most traditional zig zag indicators that lack predetermined turning points and often lag behind price movements. In contrast, Zig Zag IQ offers a minimal-lag trend detection capability, providing a more responsive representation of market trends.
Simply put, once the market Zig Zag anchors are touched, the corresponding Zig Zag IQ will change direction.
Trade Signals
Impulse IQ can trade in one of two ways: Entering breakouts as soon as they happen (Breakout Strategy Type) or entering the pullback of a price breakout (Cheap Strategy Type).
Generally, the Breakout Strategy type will take a greater number of trades and enter a breakout quicker. The Cheap Strategy type will usually take less trades, but potentially enter at a better time/price point, prior to the next leg up of a break up, or the next leg down of a break down.
Entry signals are given when price breaks out to the upside or downside for the "Breakout" strategy type, or for the "Cheap" strategy type, when price retraces to the level it broke out from!
Breakout Strategy Example
The image above demonstrates a long position entered and exited using the Breakout strategy. The price breakout level is marked by the dotted, horizontal green line, representing a previously established price high identified by IQ Zig Zag. Once the price breaks and closes above this level, a long position is initiated.
After entering a long position, Impulse IQ immediately displays the initial fixed stop price. As the price moves favorably for the long position, the trailing stop conversion level is reached, and the indicator switches to a trailing stop, as shown in the image. Impulse IQ continues to "ride the trend" for as long as it persists, exiting only when the trailing stop is triggered.
Cheap Strategy Example
The image above shows a short entry executed using the Cheap strategy. The aim of the Cheap strategy is to enter on a pullback before the breakout occurs. While this results in fewer trades if price doesn’t pull back before the breakout, it typically allows for a better entry time and price point when a pullback does happen.
The image above illustrates the remainder of the trade until the trailing stop was hit.
Green Arrow = Long Entry
Red Arrow = Short Entry
Blue Arrow = Trade Exit
Impulse IQ calculates the initial stop price and trailing stop distance before any entry signals are triggered. This means users don’t need to constantly tweak these settings to improve performance—Impulse IQ handles this process internally.
Verifying Impulse IQ’s Effectiveness
Impulse IQ automatically tracks its performance and displays the profit factor for both its long and short strategies, visible in a table located in the top-right corner of your chart.
The image above shows the profit factor for both the long and short strategies used by Impulse IQ.
A profit factor greater than 1 indicates that the strategy was profitable when trading historical price data.
A profit factor less than 1 indicates that the strategy was unprofitable when trading historical price data.
A profit factor equal to 1 indicates that the strategy neither gained nor lost money on historical price data.
Using Impulse IQ
While Impulse IQ functions as a comprehensive trading system with its own entry and exit signals, it was designed for the manual trader to take its trading signals and analysis indications to greater heights - offering numerous applications beyond its built-in trading system.
The standout feature of Impulse IQ is its ability to characterize and capitalize on trends. Keeping a close eye on “Breakout” labels and making use of the IQ meter is the best way to use Impulse IQ.
The IQ Meters can be used to:
Find entry points during trend retracements
Assess trend alignment across higher and lower timeframes
Evaluate overall trend strength, indicating where the price lies on both IQ Meters.
Additionally, "Break Up" and "Break Down" labels can be identified for anticipating breakouts. Impulse IQ self-learns to capture breakouts optimally, making these labels dynamic signals for predicting a breakout.
The Zig Zag IQ indicators are instrumental in characterizing the market's current state. As a self-learning tool, Zig Zag IQ constantly adapts to improve the representation of current price action. The price tops and bottoms identified by Zig Zag IQ can be treated as support/resistance and breakout levels.
Of course, you can set alerts for all Impulse IQ entry and exit signals, effectively following along its systematic conquest of price movement.
TradingIQ - Nova IQIntroducing "Nova IQ" by TradingIQ
Nova IQ is an exclusive Trading IQ algorithm designed for extended price move scalping. It spots overextended micro price moves and bets against them. In this way, Nova IQ functions similarly to a reversion strategy.
Nova IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Nova IQ
Nova IQ integrates AI with the concept of central-value reversion scalping. On lower timeframes, prices may overextend for small periods of time - which Nova IQ looks to bet against. In this sense, Nova IQ scalps against small, extended price moves on lower timeframes.
Nova IQ is designed to work straight out of the box. In fact, its simplicity requires just one user setting, making it incredibly straightforward to manage.
Use HTF (used to apply a higher timeframe trade filter) is the only setting that controls how Nova IQ works.
Traders don’t have to spend hours adjusting settings and trying to find what works best - Nova IQ handles this on its own.
Key Features of Nova IQ
Self-Learning Market Scalping
Employs AI and IQ Technology to scalp micro price overextensions.
AI-Generated Trading Signals
Provides scalping signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Higher Timeframe Filter
Allows users to implement a higher timeframe trading filter.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
Nova Oscillator (NOSC)
The Nova IQ Oscillator (NOSC) is an exclusive self-learning oscillator developed by Trading IQ. Using IQ Technology, the NOSC functions as an all-in-one oscillator for evaluating price overextensions.
Nova Bands (NBANDS)
The Nova Bands (NBANDS) are based on a proprietary calculation and serve as a custom two-layer smoothing filter that uses exponential decay. These bands adaptively smooth prices to identify potential trend retracement opportunities.
How It Works
Nova IQ operates on a simple heuristic: scalp long during micro downside overextensions and short during micro upside overextensions.
What constitutes an "overextension" is defined by IQ Technology, TradingIQ's proprietary AI algorithm. For Nova IQ, this algorithm evaluates the typical extent of micro overextensions before a reversal occurs. By learning from these patterns, Nova IQ adapts to identify and trade future overextensions in a consistent manner.
In essence, Nova IQ learns from price movements within scalping timeframes to pinpoint price areas for capitalizing on the reversal of an overextension.
As a trading system, Nova IQ enters all positions using market orders at the bar’s close. Each trade is exited with a profit-taking limit order and a stop-loss order. Thanks to its self-learning capability, Nova IQ determines the most suitable profit target and stop-loss levels, eliminating the need for the user to adjust any settings.
What classifies as a tradable overextension?
For Nova IQ, tradable overextensions are not manually set but are learned by the system. Nova IQ utilizes NOSC to identify and classify micro overextensions. By analyzing multiple variations of NOSC, along with its consistency in signaling overextensions and its tendency to remain in extreme zones, Nova IQ dynamically adjusts NOSC to determine what constitutes overextension territory for the indicator.
When NOSC reaches the downside overextension zone, long trades become eligible for entry. Conversely, when NOSC reaches the upside overextension zone, short trades become eligible for entry.
The image above illustrates NOSC and explains the corresponding overextension zones
The blue lower line represents the Downside Overextension Zone.
The red upper line represents the Upside Overextension Zone.
Any area between the two deviation points is not considered a tradable price overextension.
When either of the overextension zones are breached, Nova IQ will get to work at determining a trade opportunity.
The image above shows a long position being entered after the Downside Overextension Zone was reached.
The blue line on the price scale shows the AI-calculated profit target for the scalp position. The redline shows the AI-calculated stop loss for the scalp position.
Blue arrows indicate that the strategy entered a long position at the highlighted price level.
Yellow arrows indicate a position was closed.
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
The image above depicts a short position being entered after the Upside Overextension Zone was breached.
The blue line on the price scale shows the AI-calculated profit target for the scalp position. The redline shows the AI-calculated stop loss for the scalp position.
Red arrows indicate that the strategy entered a short position at the highlighted price level.
Yellow arrows indicate that NOVA IQ exited a position.
Long Entry: Blue Arrow
Short Entry: Red Arrow
Closed Trade: Yellow Arrow
Nova Bands
The Nova Bands (NBANDS) are based on a proprietary calculation and serve as a custom two-layer smoothing filter that uses exponential decay and cosine factors.
These bands adaptively smooth the price to identify potential trend retracement opportunities.
The image above illustrates how to interpret NBANDS. While NOSC focuses on identifying micro overextensions, NBANDS is designed to capture larger price overextensions. As a result, the two indicators complement each other well and can be effectively used together to identify a broader range of price overextensions in the market.
While the Nova Bands are not part of the core heuristic and do not use IQ technology, they provide valuable insights for discretionary traders looking to refine their strategies.
Use HTF (Use Higher Timeframe) Setting
Nova IQ has only one setting that controls its functionality.
“Use HTF” controls whether the AI uses a higher timeframe trading filter. This setting can be true or false. If true, the trader must select the higher timeframe to implement.
No Higher TF Filter
Nova IQ operates with standard aggression when the higher timeframe setting is turned off. In this mode, it exclusively learns from the price data of the current chart, allowing it to trade more aggressively without the influence of a higher timeframe filter.
Higher TF Filter
Nova IQ demonstrates reduced aggression when the "Use HTF" (Higher Timeframe) setting is enabled. In this mode, Nova IQ learns from both the current chart's data and the selected higher timeframe data, factoring in the higher timeframe trend when seeking scalping opportunities. As a result, trading opportunities only arise when both the higher timeframe and the chart's timeframe simultaneously display overextensions, making this mode more selective in its entries.
In this mode, Nova IQ calculates NOSC on the higher timeframe, learns from the corresponding price data, and applies the same rules to NOSC as it does for the current chart's timeframe. This ensures that Nova IQ consistently evaluates overextensions across both timeframes, maintaining its trading logic while incorporating higher timeframe insights.
AI Direction
The AI Direction setting controls the trade direction Nova IQ is allowed to take.
“Trade Longs” allows for long trades.
“Trade Shorts” allows for short trades.
Verifying Nova IQ’s Effectiveness
Nova IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in a table located in the top-right corner of your chart showing the long strategy profit factor and the short strategy profit factor.
The image above shows the long strategy profit factor and the short strategy profit factor for Nova IQ.
A profit factor greater than 1 indicates a strategy profitably traded historical price data.
A profit factor less than 1 indicates a strategy unprofitably traded historical price data.
A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data.
Using Nova IQ
While Nova IQ is a full-fledged trading system with entries and exits - it was designed for the manual trader to take its trading signals and analysis indications to greater heights, offering numerous applications beyond its built-in trading system.
The hallmark feature of Nova IQ is its to ignore noise and only generate signals during tradable overextensions.
The best way to identify overextensions with Nova IQ is with NOSC.
NOSC is naturally adept at identifying micro overextensions. While it can be interpreted in a manner similar to traditional oscillators like RSI or Stochastic, NOSC’s underlying calculation and self-learning capabilities make it significantly more advanced and useful than conventional oscillators.
Additionally, manual traders can benefit from using NBANDS. Although NBANDS aren't a core component of Nova IQ's guiding heuristic, they can be valuable for manual trading. Prices rarely extend beyond these bands, and it's uncommon for prices to consistently trade outside of them.
NBANDS do not incorporate IQ Technology; however, when combined with NOSC, traders can identify strong double-confluence opportunities.
Relative Measured Volatility (RMV) – Spot Tight Entry ZonesTitle: Relative Measured Volatility (RMV) – Spot Tight Entry Zones
Introduction
The Relative Measured Volatility (RMV) indicator is designed to highlight tight price consolidation zones , making it an ideal tool for traders seeking optimal entry points before potential breakouts. By focusing on tightness rather than general volatility, RMV offers traders a practical way to detect consolidation phases that often precede significant market moves.
How RMV Works
The RMV calculates short-term tightness by averaging three ATR (Average True Range) values over different lookback periods and then normalizing them within a specified lookback window. The result is a percentage-based scale from 0 to 100, indicating how tight the current price range is compared to recent history.
Here’s the breakdown:
Three ATR values are computed using user-defined short lookback periods to represent short-term price movements. An average of the ATRs provides a smoothed measure of current tightness. The RMV normalizes this average against the highest and lowest values over the defined lookback period, scaling it from 0 to 100.
This approach helps traders identify consolidation zones that are more likely to lead to breakouts.
Key Features of RMV
Multi-Period ATR Calculation : Uses three ATR values to effectively capture market tightness over the short term. Normalization : Converts the tightness measure to a 0-100 scale for easy interpretation. Dynamic Histogram and Background Colors : The RMV indicator uses a color-coded system for clarity.
How to Use the RMV Indicator
Identify Tight Consolidation Zones:
a - RMV values between 0-10 indicate very tight price ranges, making this the most optimal zone for potential entries before breakouts.
b - RMV values between 11-20 suggest moderate tightness, still favorable for entries.
Monitor Potential Breakout Areas:
As RMV moves from 21-30 , tightness reduces, signaling expanding volatility that may require wider stops or more flexible entry strategies.
Adjust Trading Strategies:
Use RMV values to identify tight zones for entering trades, especially in trending markets or at key support/resistance levels.
Customize the Indicator:
a - Adjust the short-term ATR lookback periods to control sensitivity.
b - Modify the lookback period to match your trading horizon, whether short-term or long-term.
Color-Coding Guide for RMV
ibb.co
How to Add RMV to Your Chart
Open your chart on TradingView.
Go to the “Indicators” section.
Search for "Relative Measured Volatility (RMV)" in the Community Scripts section.
Click on the indicator to add it to your chart.
Customize the input parameters to fit your trading strategy.
Input Parameters
Lookback Period : Defines the period over which tightness is measured and normalized.
Short-term ATR Lookbacks (1, 2, 3) : Control sensitivity to short-term tightness.
Histogram Threshold : Sets the threshold for differentiating between bright (tight) and dim (less tight) histogram colors.
Conclusion
The Relative Measured Volatility (RMV) is a versatile tool designed to help traders identify tight entry zones by focusing on market consolidation. By highlighting narrow price ranges, the RMV guides traders toward potential breakout setups while providing clear visual cues for better decision-making. Add RMV to your trading toolkit today and enhance your ability to identify optimal entry points!
India market cap and smart dataThis indicator displays important financial and technical data, such as Market Cap, P/E Ratio, ADR %, etc.
It is specially designed for swing traders.
Key Features and Highlights
- Market Cap Alert: If the Market Cap of a stock is below 1000 crore , it is displayed in red to indicate a potential liquidity issue.
- P/E Ratio for Loss-Making Companies : For companies with net losses, the P/E ratio is shown as 0 and displayed in red , alerting you to the unprofitable status of the company.
- ADR Alert: When the ADR is below 4% , it is highlighted in red . Swing traders typically look for stocks with high ADR.
- 52-Week High Proximity: If a stock is more than 20% below its 52-week high , this data is shown in red .
- 52-Week Low Performance: If a stock is up by more than 70% from its 52-week low , the data is displayed in green , indicating strong performance.
Additional Features
- Toggle data points on or off as desired.
- Supports both dark and light modes.
- Position the table wherever preferred on the chart.
- Customize the ADR % calculation based on the desired number of days (default is 20 days).
Note: The calculation for the percentage away from the 52-week high is based on the closing price of the 52-week high candle, not the high price.
EMA and ATR Indicator BY DemirkanEMA 10 and ATR Indicator BY Demirkan
The EMA 10 and ATR Indicator combines two powerful technical indicators used to analyze trends and identify potential trading opportunities.
Indicator Components:
Exponential Moving Average (EMA):
EMA 10: Calculates the weighted average of the last 10 closing prices. This indicator is effective in tracking short-term price movements. When the price is above the EMA, it is considered that the trend is upward; when it is below, it is assessed as a downward trend.
Average True Range (ATR):
ATR: A measure of market volatility. When the ATR value falls within a specified range (between 10 and 14 in this indicator), the price movement is considered significant. This helps you base your trading decisions on more solid grounds.
Usage Recommendations:
Buy Signal: When the price is above the EMA and the ATR is within the specified range, this can be interpreted as a potential buy signal.
Sell Signal: When the price is below the EMA, this can be interpreted as a potential sell signal.
Chart Displays:
EMA Line: Displayed as a blue line, allowing you to see how the EMA relates to current price levels.
Price Status: Circles are used to indicate whether the price is above or below the EMA. A green circle indicates the price is above the EMA, while a red circle indicates it is below.
Background Colors: The chart background changes to green or red to highlight buy and sell conditions.
Aesthetic Presentation:
Using the "Flag" and "Below" parameters for the Price vs EMA indicator provides an aesthetically pleasing appearance on the chart. This type of visual presentation helps users quickly and easily grasp trading signals. Additionally, this aesthetic touch makes investors' charts look more professional and appealing.
This indicator is a useful tool for traders looking to develop short-term trading strategies. However, it should always be used in conjunction with additional analysis and other indicators.
Note: This indicator is for educational purposes only and should not be taken as investment advice.
