UDC - Local TrendsUDC - Local Trends Indicator
Overview:
The UDC - Local Trends Indicator combines multiple moving averages to provide a clear visualization of both local and high timeframe (HTF) trends. This indicator helps traders make informed decisions by highlighting key moving averages and trend zones, making it easier to determine whether the current trend is likely to continue or reverse.
Features:
Local Trend Zone: Displays the range between the 13 and 34 EMAs, with an average line in the middle. This zone is plotted close to the price candles, offering a clear visual guide for the immediate trend on the timeframe you’re viewing.
Usage: Observe the strength of the local trend within this zone. Breaks from this zone may indicate potential moves toward the 200 moving averages, providing early signals for trend continuation or potential reversals.
Current Trend Indicators:
Tracks the broader trend using the 200 EMA and 200 SMA on the active timeframe. Choose a timeframe where these trend lines hold significance and use them alongside support and resistance for precise entries and exits.
Cross-Timeframe Trend Reference:
On all sub-daily timeframes, the daily 200 moving average is overlaid, ensuring this essential trend line is visible even on shorter timeframes, like 4H, where reclaims or rejections of the daily 200 can signal strong trading setups.
The weekly 50 moving average, a critical HTF trend line, is also displayed consistently, guiding higher timeframe swing trade setups.
Trading Strategy:
Local Timeframe Trading:
Monitor the 200 moving averages in your active timeframe to identify bounces or breakdowns. If the local trend zone (13-34 EMA range) is lost, expect a possible pullback to the 200 moving averages, offering a chance for re-entry or confirmation of trend reversal.
High Timeframe Trading (HTF):
For swing trades, observe the daily 200 and weekly 50 moving averages. Reclaiming these lines often triggers long setups, while losing them may signal further downside until they’re regained.
This indicator offers a powerful combination of localized trend tracking and high timeframe support, enabling traders to align their entries with both immediate and overarching market
Trend Analysis
HMA w(LRLR)Description: This script combines a customizable Hull Moving Average (HMA) with a Low Resistance Liquidity Run (LRLR) detection system, ideal for identifying trend direction and potential breakout points in a single overlay.
Features:
Hull Moving Average (HMA):
Select separate calculation sources (open, high, low, close) for short and long periods.
Choose from SMA, EMA, and VWMA for length type on both short and long periods, offering flexible moving average calculations to suit different trading strategies.
Color-coded HMA line that visually changes based on crossover direction, providing an intuitive view of market trends.
Customizable options for line thickness, color transparency, and band fill between HMA short and long lines.
Low Resistance Liquidity Run (LRLR):
Detects breakout signals based on price and volume conditions, identifying potential liquidity run levels.
User-defined length and breakout multiplier control breakout sensitivity and adjust standard deviation-based thresholds.
Color-coded visual markers for bullish and bearish LRLR signals, customizable for user preference.
Alerts for both bullish and bearish LRLR events, keeping users informed of potential trading opportunities.
This script allows traders to visually track the HMA trend direction while also spotting low-resistance liquidity opportunities, all on one chart overlay.
Disclaimer: This tool is intended for educational purposes only and should not be used solely to make trading decisions. Adjust parameters as needed, and consider additional analysis for comprehensive decision-making.
XRP Comparative RSI Indicator - Final VersionXRP Comparative RSI Indicator - Final Version
The XRP Comparative RSI Indicator offers a dynamic analysis of XRP’s market positioning through relative strength index (RSI) comparisons across various cryptocurrencies and major market indicators. This indicator allows traders and analysts to gauge XRP’s momentum and potential turning points within different market conditions.
Key Features:
• Normalized RSIs: Each RSI value is normalized between 0.00 and 1.00, allowing seamless comparison across multiple assets.
• Grouped Analysis: Three RSI groups provide specific insights:
• Group 1 (XRP-Specific): Measures XRPUSD, XRP Dominance (XRP.D), and XRP/BTC, focusing on XRP’s performance across different trading pairs.
• Group 2 (Market Influence - Bitcoin): Measures BTCUSD, BTC Dominance (BTC.D), and XRP/BTC, capturing the influence of Bitcoin on XRP.
• Group 3 (Liquidity Impact): Measures USDT Dominance (USDT.D), BTCUSD, and ETHUSD, evaluating the liquidity impact from key assets and stablecoins.
• Individual Asset RSIs: Track the normalized RSI for each specific pair or asset, including XRPUSD, BTCUSD, ETHUSD, XRP/BTC, BTC Dominance, ETH Dominance, and the S&P 500.
• Clear Color Coding: Each asset’s RSI is plotted with a unique color scheme, consistent with the first indicator, for easy recognition.
This indicator is ideal for identifying relative strengths, potential entry and exit signals, and understanding how XRP’s momentum aligns or diverges from broader market trends.
Dynamic Autocorrelation Visualizer (YavuzAkbay)The Dynamic Autocorrelation Visualizer (DAV) is a specialized indicator that analyzes and displays the autocorrelation of closing prices over multiple time lags. The autocorrelation function is a well-established economic calculation that measures how past price movements correlate with current prices at various intervals. This indicator implements this function to provide traders with insights into how these correlations evolve over time, enabling them to identify shifts in market behavior and trends.
Key Features and Functionality
1. Input Parameters:
Max Lag: This parameter determines the maximum number of lags for which the autocorrelation will be calculated. By default, it is set to 10, allowing traders to observe the correlation from the most recent price up to 10 periods back.
Calculation Period: The period over which the autocorrelation is calculated, set by default to 50. This setting allows users to adapt the analysis to different time frames depending on their trading strategies.
2. Autocorrelation Calculation:
The DAV calculates the average closing price over the specified period using the Simple Moving Average (SMA). This average serves as a reference point for measuring deviations in price behavior.
It then computes the denominator for the autocorrelation formula, which is the sum of the squared differences between each closing price and the average price. This normalization ensures that the autocorrelation values are meaningful and statistically valid.
For each specified lag (from 0 to max_lag - 1), the indicator calculates the numerator by summing the product of deviations from the mean for both the current and lagged prices. The autocorrelation value for each lag is then derived by dividing the numerator by the denominator, producing a set of autocorrelation values that reflect the strength and direction of price relationships over time.
3. Visualization:
The results for each lag's autocorrelation are plotted as individual lines on the chart, each differentiated by color to represent different lag periods.
A zero line is drawn as a reference, helping traders easily identify when autocorrelation values cross from positive to negative or vice versa.
The color gradient from the brightest blue (for lag 1) to darker shades indicates the relative strength of the autocorrelation for each lag, providing an immediate visual cue for analysis.
Indicator is Useful for
Seeing how correlation patterns evolve
Identifying periods where the market changes its behavior
Spotting when certain lag patterns become more or less significant
How to Use the DAV Indicator
Before using the indicator, it should be backtested on the chart and the mechanics should be learned. In general, if all lags of the indicator are above 0, it means that the trend is continuing. When the lags start to fall below 0 one by one, it means a trend reversal or instability. The indicator is in a sense a 90 degree freeze trace of the Autocorrelation indicator that I have also integrated into Tradingview (available in my profile), so it may be more understandable if used in conjunction with this indicator.
Autocorrelogram (YavuzAkbay)The Autocorrelogram (ACF) is a statistical tool designed for traders and analysts to evaluate the autocorrelation of price movements over time. Autocorrelation measures the correlation of a signal with a delayed version of itself, providing insights into the degree to which past price movements influence future price movements. This indicator is particularly useful for identifying trends and patterns in time series data, helping traders make informed decisions based on historical price behavior.
Key Components and Functionality
1. Input Parameters:
Sample Size: This parameter defines the number of data points used in the calculation of the autocorrelation function. A minimum value of 9 ensures statistical relevance. The default value is set to 100, which provides a broad view of the price behavior.
Data Source: Users can select the price data they wish to analyze (e.g., closing prices). This flexibility allows traders to apply the ACF to various price types, depending on their trading strategy.
Significance Level: This parameter determines the threshold for statistical significance in the autocorrelation values. The default value is set at 1.96, corresponding to a 95% confidence level, but users can adjust it to their preferences.
Calculate Change: This boolean option allows users to choose whether to calculate the change in the selected data source (e.g., daily price changes) rather than using the raw data. Analyzing changes can highlight momentum shifts that may be obscured in absolute price levels.
2. Core Calculations:
Simple Moving Average (SMA): The indicator computes the SMA of the selected data source over the defined sample size. This average serves as a baseline for assessing deviations in price behavior.
Variance Calculation: The variance of the price changes is calculated to understand the spread of the data. The variance is scaled by the sample size to ensure that the autocorrelation values are appropriately normalized.
Lag Value: The indicator calculates a lag value based on the sample size to determine how many periods back the autocorrelation will be calculated. This helps in assessing correlations at different time intervals.
3. Autocorrelation Calculation:
The script calculates the autocorrelation for lags ranging from 0 to 53. For each lag, it computes the autocovariance (the correlation of the signal with itself at different time intervals) and normalizes this by the variance. The result is a set of autocorrelation values that indicate the strength and direction of the relationship between current and past price movements.
4. Visualization:
The autocorrelation values are plotted as lines on the chart, with different colors indicating positive and negative correlations. Lines are dynamically drawn for each lag, providing a visual representation of how past prices influence current prices. A maximum of 54 lines (for lags 0 to 53) is maintained, with the oldest line being removed when the limit is exceeded.
Significance Levels: Horizontal lines are drawn at the defined significance levels, helping traders quickly identify when the autocorrelation values exceed the statistically significant threshold. These lines serve as benchmarks for interpreting the relevance of the autocorrelation values.
How to Use the ACF Indicator
Identifying Trends: Traders can use the ACF indicator to spot trends in the data. Strong positive autocorrelation at a given lag indicates that past price movements have a lasting influence on future movements, suggesting a potential continuation of the current trend. Conversely, significant negative autocorrelation may indicate reversals or mean reversion.
Decision Making: By comparing the autocorrelation values against the significance levels, traders can make informed decisions. For example, if the autocorrelation at lag 1 is significantly positive, it may suggest that a trend is likely to persist in the immediate future, prompting traders to consider long positions.
Setting Parameters: Adjusting the sample size and significance level allows traders to tailor the indicator to their specific market conditions and trading style. A larger sample size may provide more stable estimates but could obscure short-term fluctuations, while a smaller size may capture quick changes but with higher variability.
Combining with Other Indicators: The ACF can be used in conjunction with other technical indicators (like Moving Averages or RSI) to enhance trading strategies. Confirming signals from multiple indicators can provide stronger trade confirmations.
Volume Profile Heatmap 2.0The "Enhanced Volume Profile Heatmap" is a powerful Pine Script indicator designed for advanced volume analysis on TradingView charts. It creates a dynamic heatmap of volume distribution across a defined price range, enabling traders to pinpoint significant trading levels and understand price action more deeply.
Key Features:
Configurable Parameters:
Number of Bins (numBins): Defines the resolution of the heatmap by dividing the price range into multiple levels. More bins provide higher granularity.
Lookback Period (lookback): Sets the historical period over which the volume profile is calculated.
Price Range Calculation:
Calculates the highest and lowest prices over the lookback period, defining the boundaries for volume distribution.
Volume Allocation Across Price Levels:
The price range is divided into "bins" where each bin represents a specific price level.
For each price within the lookback period, the corresponding volume is allocated to its bin, building a comprehensive distribution of volume per price level.
Volume Normalization and Heatmap Visualization:
Volume for each bin is normalized based on the highest volume bin, creating a gradient effect to visually represent high and low-volume areas.
A heatmap color scheme is applied, where low volume appears redder and high volume appears greener, emphasizing critical price levels.
Visual Representation:
Each bin’s volume is depicted as a horizontal line with varying color intensity, creating a heatmap effect directly over the price chart.
Purpose:
The Enhanced Volume Profile Heatmap is ideal for traders looking to identify high-activity trading zones, which often act as strong support or resistance. By visualizing where trading activity concentrates, users can gain insights into potential areas of interest, allowing for more informed entry and exit decisions.
This indicator is a unique tool for volume-based analysis, helping traders understand underlying market sentiment and positioning across different price levels in a clear, intuitive way.
The Most Powerful TQQQ EMA Crossover Trend Trading StrategyTQQQ EMA Crossover Strategy Indicator
Meta Title: TQQQ EMA Crossover Strategy - Enhance Your Trading with Effective Signals
Meta Description: Discover the TQQQ EMA Crossover Strategy, designed to optimize trading decisions with fast and slow EMA crossovers. Learn how to effectively use this powerful indicator for better trading results.
Key Features
The TQQQ EMA Crossover Strategy is a powerful trading tool that utilizes Exponential Moving Averages (EMAs) to identify potential entry and exit points in the market. Key features of this indicator include:
**Fast and Slow EMAs:** The strategy incorporates two EMAs, allowing traders to capture short-term trends while filtering out market noise.
**Entry and Exit Signals:** Automated signals for entering and exiting trades based on EMA crossovers, enhancing decision-making efficiency.
**Customizable Parameters:** Users can adjust the lengths of the EMAs, as well as take profit and stop loss multipliers, tailoring the strategy to their trading style.
**Visual Indicators:** Clear visual plots of the EMAs and exit points on the chart for easy interpretation.
How It Works
The TQQQ EMA Crossover Strategy operates by calculating two EMAs: a fast EMA (default length of 20) and a slow EMA (default length of 50). The core concept is based on the crossover of these two moving averages:
- When the fast EMA crosses above the slow EMA, it generates a *buy signal*, indicating a potential upward trend.
- Conversely, when the fast EMA crosses below the slow EMA, it produces a *sell signal*, suggesting a potential downward trend.
This method allows traders to capitalize on momentum shifts in the market, providing timely signals for trade execution.
Trading Ideas and Insights
Traders can leverage the TQQQ EMA Crossover Strategy in various market conditions. Here are some insights:
**Scalping Opportunities:** The strategy is particularly effective for scalping in volatile markets, allowing traders to make quick profits on small price movements.
**Swing Trading:** Longer-term traders can use this strategy to identify significant trend reversals and capitalize on larger price swings.
**Risk Management:** By incorporating customizable stop loss and take profit levels, traders can manage their risk effectively while maximizing potential returns.
How Multiple Indicators Work Together
While this strategy primarily relies on EMAs, it can be enhanced by integrating additional indicators such as:
- **Relative Strength Index (RSI):** To confirm overbought or oversold conditions before entering trades.
- **Volume Indicators:** To validate breakout signals, ensuring that price movements are supported by sufficient trading volume.
Combining these indicators provides a more comprehensive view of market dynamics, increasing the reliability of trade signals generated by the EMA crossover.
Unique Aspects
What sets this indicator apart is its simplicity combined with effectiveness. The reliance on EMAs allows for smoother signals compared to traditional moving averages, reducing false signals often associated with choppy price action. Additionally, the ability to customize parameters ensures that traders can adapt the strategy to fit their unique trading styles and risk tolerance.
How to Use
To effectively utilize the TQQQ EMA Crossover Strategy:
1. **Add the Indicator:** Load the script onto your TradingView chart.
2. **Set Parameters:** Adjust the fast and slow EMA lengths according to your trading preferences.
3. **Monitor Signals:** Watch for crossover points; enter trades based on buy/sell signals generated by the indicator.
4. **Implement Risk Management:** Set your stop loss and take profit levels using the provided multipliers.
Regularly review your trading performance and adjust parameters as necessary to optimize results.
Customization
The TQQQ EMA Crossover Strategy allows for extensive customization:
- **EMA Lengths:** Change the default lengths of both fast and slow EMAs to suit different time frames or market conditions.
- **Take Profit/Stop Loss Multipliers:** Adjust these values to align with your risk management strategy. For instance, increasing the take profit multiplier may yield larger gains but could also increase exposure to market fluctuations.
This flexibility makes it suitable for various trading styles, from aggressive scalpers to conservative swing traders.
Conclusion
The TQQQ EMA Crossover Strategy is an effective tool for traders seeking an edge in their trading endeavors. By utilizing fast and slow EMAs, this indicator provides clear entry and exit signals while allowing for customization to fit individual trading strategies. Whether you are a scalper looking for quick profits or a swing trader aiming for larger moves, this indicator offers valuable insights into market trends.
Incorporate it into your TradingView toolkit today and elevate your trading performance!
Bullish B's - RSI Divergence StrategyThis indicator strategy is an RSI (Relative Strength Index) divergence trading tool designed to identify high-probability entry and exit points based on trend shifts. It utilizes both regular and hidden RSI divergence patterns to spot potential reversals, with signals for both bullish and bearish conditions.
Key Features
Divergence Detection:
Bullish Divergence: Signals when RSI indicates momentum strengthening at a lower price level, suggesting a reversal to the upside.
Bearish Divergence: Signals when RSI shows weakening momentum at a higher price level, indicating a potential downside reversal.
Hidden Divergences: Looks for hidden bullish and bearish divergences, which signal trend continuation points where price action aligns with the prevailing trend.
Volume-Adjusted Entry Signals:
The strategy enters long trades when RSI shows bullish or hidden bullish divergence, indicating an upward momentum shift.
An optional volume filter ensures that only high-volume, high-conviction trades trigger a signal.
Exit Signals:
Exits long positions when RSI reaches a customizable overbought level, typically indicating a potential reversal or profit-taking opportunity.
Also closes positions if bearish divergence signals appear after a bullish setup, providing protection against trend reversals.
Trailing Stop-Loss:
Uses a trailing stop mechanism based on ATR (Average True Range) or a percentage threshold to lock in profits as the price moves in favor of the trade.
Alerts and Custom Notifications:
Integrated with TradingView alerts to notify the user when entry and exit conditions are met, supporting timely decision-making without constant monitoring.
Customizable Parameters:
Users can adjust the RSI period, pivot lookback range, overbought level, trailing stop type (ATR or percentage), and divergence range to fit their trading style.
Ideal Usage
This strategy is well-suited for trend traders and swing traders looking to capture reversals and trend continuations on medium to long timeframes. The divergence signals, paired with trailing stops and volume validation, make it adaptable for multiple asset classes, including stocks, forex, and crypto.
Summary
With its focus on RSI divergence, trailing stop-loss management, and volume filtering, this strategy aims to identify and capture trend changes with minimized risk. This allows traders to efficiently capture profitable moves and manage open positions with precision.
This Strategy BEST works with GLD!
Hodrick-Prescott Cycle Component (YavuzAkbay)The Hodrick-Prescott Cycle Component indicator in Pine Script™ is an advanced tool that helps traders isolate and analyze the cyclical deviations in asset prices from their underlying trend. This script calculates the cycle component of the price series using the Hodrick-Prescott (HP) filter, allowing traders to observe and interpret the short-term price movements around the long-term trend. By providing two views—Percentage and Price Difference—this indicator gives flexibility in how these cyclical movements are visualized and interpreted.
What This Script Does
This indicator focuses exclusively on the cycle component of the price, which is the deviation of the current price from the long-term trend calculated by the HP filter. This deviation (or "cycle") is what traders analyze for mean-reversion opportunities and overbought/oversold conditions. The script allows users to see this deviation in two ways:
Percentage Difference: Shows the deviation as a percentage of the trend, giving a normalized view of the price’s distance from its trend component.
Price Difference: Shows the deviation in absolute price terms, reflecting how many price units the price is above or below the trend.
How It Works
Trend Component Calculation with the HP Filter: Using the HP filter, the script isolates the trend component of the price. The smoothness of this trend is controlled by the smoothness parameter (λ), which can be adjusted by the user. A higher λ value results in a smoother trend, while a lower λ value makes it more responsive to short-term changes.
Cycle Component Calculation: Percentage Deviation (cycle_pct) calculated as the difference between the current price and the trend, divided by the trend, and then multiplied by 100. This metric shows how far the price deviates from the trend in relative terms. Price Difference (cycle_price) simply the difference between the current price and the trend component, displaying the deviation in absolute price units.
Conditional Plotting: The user can choose to view the cycle component as either a percentage or a price difference by selecting the Display Mode input. The indicator will plot the chosen mode in a separate pane, helping traders focus on the preferred measure of deviation.
How to Use This Indicator
Identify Overbought/Oversold Conditions: When the cycle component deviates significantly from the zero line (shown with a dashed horizontal line), it may indicate overbought or oversold conditions. For instance, a high positive cycle component suggests the price may be overbought relative to the trend, while a large negative cycle suggests potential oversold conditions.
Mean-Reversion Strategy: In mean-reverting markets, traders can use this indicator to spot potential reversal points. For example, if the cycle component shows an extreme deviation from zero, it could signal that the price is likely to revert to the trend. This can help traders with entry and exit points when the asset is expected to correct back toward its trend.
Trend Strength and Cycle Analysis: By comparing the magnitude and duration of deviations, traders can gauge the strength of cycles and assess if a new trend might be forming. If the cycle component remains consistently positive or negative, it may indicate a persistent market bias, even as prices fluctuate around the trend.
Percentage vs. Price Difference Views: Use the Percentage Difference mode to standardize deviations and compare across assets or different timeframes. This is especially helpful when analyzing assets with varying price levels. Use the Price Difference mode when an absolute deviation (price units) is more intuitive for spotting overbought/oversold levels based on the asset’s actual price.
Using with Hodrick-Prescott: You can also use Hodrick-Prescott, another indicator that I have adapted to the Tradingview platform, to see the trend on the chart, and you can also use this indicator to see how far the price is deviating from the trend. This gives you a multifaceted perspective on your trades.
Practical Tips for Traders
Set the Smoothness Parameter (λ): Adjust the λ parameter to match your trading timeframe and asset characteristics. Lower values make the trend more sensitive, which might suit short-term trading, while higher values smooth out the trend for long-term analysis.
Cycle Component as Confirmation: Combine this indicator with other momentum or trend indicators for confirmation of overbought/oversold signals. For example, use the cycle component with RSI or MACD to validate the likelihood of mean-reversion.
Observe Divergences: Divergences between price movements and the cycle component can indicate potential reversals. If the price hits a new high, but the cycle component shows a smaller deviation than previous highs, it could signal a weakening trend.
Fair Value Gap Oscillator | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Fair Value Gap Oscillator (FVG Oscillator) indicator! This unique indicator identifies and tracks Fair Value Gaps (FVGs) in price action, presenting them in an oscillator format to reveal market momentum based on FVG strength. It highlights bullish and bearish FVGs while enabling traders to adjust detection sensitivity and apply volume and ATR-based filters for more precise setups. For more information about the process, check the "📌 HOW DOES IT WORK" section.
Features of the new FVG Oscillator:
Fully Customizable FVG Detection
An Oscillator Approach To FVGs
Divergence Markers For Potential Reversals
Alerts For Divergence Labels
Customizable Styling
📌 HOW DOES IT WORK?
Fair Value Gaps are price gaps within bars that indicate inefficiencies, often filled as the market retraces. The FVG Oscillator scans historical bars to identify these gaps, then filters them based on ATR or volume. Each FVG is marked as bullish or bearish according to the trend direction that preceded its formation.
An oscillator is calculated using recent FVGs with this formula :
1. The Oscillator starts as 0.
2. When a new FVG Appears, it contributes (FVG Width / ATR) to the oscillator of the corresponding type.
3. Each confirmed bar, the oscillator is recalculated as OSC = OSC * (1 - Decay Coefficient)
The oscillator aggregates and decays past FVGs, allowing recent FVG activity to dominate the signal. This approach emphasizes current market momentum, with oscillations moving bullish or bearish based on FVG intensity. Divergences are marked where FVG oscillations suggest potential reversals. Bullish Divergence conditions are as follows :
1. The current candlestick low must be the lowest of last 25 bars.
2. Net Oscillator (Shown in gray line by default) must be > 0.
3. The current Bullish FVG Oscillator value should be no more than 0.1 below the highest value from the last 25 bars.
Traders can use divergence signals to get an idea of potential reversals, and use the Net FVG Oscillator as a trend following marker.
🚩 UNIQUENESS
The Fair Value Gap Oscillator stands out by converting FVG activity into an oscillator format, providing a momentum-based visualization of FVGs that reveals market sentiment dynamically. Unlike traditional indicators that statically mark FVG zones, the oscillator decays older FVGs over time, showing only the most recent, relevant activity. This approach allows for real-time insight into market conditions and potential reversals based on oscillating FVG strength, making it both intuitive and powerful for momentum trading.
Another unique feature is the combination of customizable ATR and volume filters, letting traders adapt the indicator to match their strategy and market type. You can also set-up alerts for bullish & bearish divergences.
⚙️ SETTINGS
1. General Configuration
Decay Coefficient -> The decay coefficient for oscillators. Increasing this setting will result in oscillators giving the weight to recent FVGs, while decreasing it will distribute the weight equally to the past and recent FVGs.
2. Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Style
Divergence Labels On -> You can switch divergence labels to show up on the chart or the oscillator plot.
EMA Standard Deviation | RocheurIntroducing Rocheur’s EMA Standard Deviation Indicator
The EMA Standard Deviation indicator is an innovative tool that combines the Exponential Moving Average (EMA) with a standard deviation overlay to highlight potential trading signals. This indicator provides traders with enhanced insight into price deviations, helping to identify possible trend continuations and reversals.
Understanding the EMA Standard Deviation Concept
The Exponential Moving Average (EMA) is known for its sensitivity to recent price changes, making it a popular choice for trend analysis. By combining the EMA with a standard deviation calculation, this indicator not only tracks price trends but also measures how far prices deviate from their average. This deviation metric helps traders identify overbought or oversold conditions and assess the strength of price movements.
Calculation Logic
The indicator calculates an EMA over a user-defined length and applies a standard deviation over another customizable period. By multiplying the standard deviation by a user-defined factor, thresholds are set for determining potential long and short signals.
Long Signals: A long signal is generated when the price closes above the EMA plus the standard deviation multiplied by the chosen factor.
Short Signals: A short signal occurs when the price closes below the EMA minus the standard deviation multiplied by the chosen factor.
Visual Representation
The EMA Standard Deviation indicator is designed with customizable color options, enabling traders to easily visualize market trends and signals:
Green Bars: Represent a bullish trend when the price is above the EMA and surpasses the positive deviation threshold, indicating a potential long opportunity.
Red Bars: Indicate a bearish trend when the price falls below the EMA and breaches the negative deviation threshold, signaling a potential short opportunity.
Three EMAs of different lengths are plotted to provide a comprehensive view of market behavior:
Primary EMA: Used as the baseline for signal generation.
Filtered EMAs: EMAs calculated over twice and three times the primary length to offer additional context and detect broader trends.
Customization & Parameters
To cater to different trading needs, the EMA Standard Deviation indicator includes several adjustable settings:
EMA Length: Defaulted to 14, controls the main EMA period.
Standard Deviation Length: Set to 35 by default, it determines the period for calculating the deviation.
Multiplier: A factor that adjusts the influence of the standard deviation on signal thresholds.
Color Modes: Multiple visual themes to personalize the appearance of trend signals.
Trading Applications
This indicator is versatile and can be applied across various trading strategies:
Trend Continuation: The combination of EMA and standard deviation helps confirm whether a trend is continuing or weakening.
Reversal Detection: The deviation factor highlights potential reversal points, allowing traders to adjust positions accordingly.
Risk Management: Clearly defined long and short signals assist in making informed entry and exit decisions.
Final Note
The EMA Standard Deviation indicator by Rocheur provides traders with a nuanced view of price movements and deviations, enhancing trend analysis and market decision-making. As with any indicator, backtesting and customization are recommended to align the tool with specific trading strategies. While this tool adds depth to technical analysis, no indicator guarantees success; it should be used as part of a comprehensive trading approach.
Engulfing Pattern & Impulse [UAlgo]The Engulfing Pattern & Impulse is a tool designed for technical traders who utilize price action and volume analysis to assess market trends and potential reversals. This indicator identifies two powerful trading signals: Engulfing Patterns and Volume Impulses, which are essential components for evaluating potential bullish or bearish market momentum.
Engulfing Patterns are classic candlestick formations often associated with reversals or trend continuations, depending on the overall trend context. This indicator highlights both bullish and bearish engulfing patterns based on configurable criteria such as trend detection settings, comparison with average body size, and a customizable body multiplier for validation. The Volume Impulse feature signals moments of significant volume compared to historical levels, which often precede substantial price movements. Together, these features provide traders with a versatile tool for better timing entry and exit points.
The indicator also offers an adaptive trend detection system, allowing traders to choose from multiple methods (e.g., SMA50 or SMA50/SMA200 combinations) to assess the trend context, making it ideal for various market conditions.
🔶Key Features
Engulfing Pattern Detection: Identifies bullish and bearish engulfing patterns with customizable parameters, including body length and average size comparison.
Configurable trend basis: Choose between SMA50 or SMA50 with SMA200 to define trend direction.
Body size multiplier: Adjust the size threshold for valid engulfing patterns, providing flexibility based on market conditions.
Volume Impulse Signal: Highlights volume spikes that meet or exceed a specified multiplier, which can indicate increased buying or selling interest.
Customizable volume period and multiplier: Allows you to tailor the volume impulse detection based on the instrument’s average volume behavior.
Trend Detection Options: Select different trend detection methods to suit various trading styles and instruments.
SMA50-based detection: Classifies the trend based on the position of price relative to the 50-period SMA.
SMA50 and SMA200 combination: Incorporates a dual-moving average approach, classifying trends based on the relationship between price, SMA50, and SMA200.
Enhanced Visualization: Distinguishes bullish and bearish signals with customizable colors, providing clear and immediate visual cues for easy interpretation.
Custom label colors: Allows you to set distinct colors for bullish, bearish, and neutral signals for quick identification.
Pattern filtering: Enable or disable specific patterns (Bullish, Bearish, or Both) based on your trading preferences.
🔶 Interpreting Indicator
Bullish Engulfing Pattern: Indicates a potential bullish reversal in a downtrend. This signal occurs when a white candlestick with a body size exceeding a specified multiplier completely engulfs the previous black candlestick. The pattern will display a “BE” label below the candle if it meets the criteria, signaling potential upward momentum.
Bearish Engulfing Pattern: Indicates a potential bearish reversal in an uptrend. A black candlestick with a body size exceeding the specified multiplier fully engulfs the previous white candlestick, signaling possible downward movement. The “BE” label appears above the candle to denote this pattern.
Volume Impulse Up: Displays a “VI” label below the candle when the volume surpasses the defined multiplier, and the price closes higher than it opened, indicating strong upward buying interest.
Volume Impulse Down: Displays a “VI” label above the candle when the volume meets or exceeds the specified threshold, and the price closes lower than it opened, signaling strong selling pressure.
Indicator uses the SMA50 and SMA200 to determine trend direction due to their popularity in technical analysis as indicators of medium- and long-term trends. The SMA50 reflects the average price over the past 50 periods, providing insight into intermediate trends, while the SMA200 is often used to identify the broader trend direction. These SMAs help traders quickly assess whether the market is in an uptrend, downtrend, or consolidation phase, enhancing decision-making for both short-term and long-term strategies.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Trend Counter [BigBeluga]The Trend Counter indicator is designed to help traders identify trend conditions and potential reversals by counting the number of bars within a specified period that are above or below an average price level. By smoothing and averaging these counts, the indicator provides a clear visual representation of market trends and highlights key trend changes.
Key Features:
⦾ Trend Counting:
Counts bars above and below average price levels over a specified period.
Smooths and rounds the count for better visualization.
// Count bars over length period above highest and lowest avg with offset loop
float mid = math.avg(ta.highest(length), ta.lowest(length))
for offset = 0 to length -1
switch
hl2 > mid => counter += 1.0
=> counter := 0.0
// Smooth Count and Round
counter := math.round(ta.ema(counter > 400 ? 400 : counter, smooth))
// Count Avg
count.push(counter)
avg = math.round(count.avg())
⦿ Color Indication:
Uses gradient colors to indicate the strength of the trend.
Colors the background based on trend strength for easier interpretation.
⦿ Trend Signals:
Provides visual cues for trend changes based on the counter crossing predefined levels.
⦿ Potential Tops:
Identifies potential market tops using a specified length and highlights these levels.
⦿ Additional Features:
Displays Trend Counter value with arrows to indicate the direction of the trend movement.
Displays average trend count and level for reference.
⦿ User Inputs Description
Length: Defines the period over which the trend counting is performed.
Trend Counter Smooth: Specifies the smoothing period for the trend counter.
Level: Sets the threshold level for trend signals.
Main Color: Determines the primary color for trend indication.
The Trend Counter indicator is a powerful tool for traders seeking to identify and visualize market trends.
By counting and smoothing price bars above and below average levels, it provides clear and intuitive signals for trend strength and potential reversals.
With customizable parameters and visual cues, the Trend Counter enhances trend analysis and decision-making for traders of all levels.
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.
Earning, Sales, and PriceThis Pine Script indicator is designed to visualize and analyze the growth of Earnings Per Share (EPS) and Sales for a given stock over specified time periods. With a user-friendly interface, it allows traders and investors to monitor key financial metrics, helping them make informed decisions based on company performance.
The script presents earnings, sales, and price growth in a clear tabular format directly on the price chart. It features two distinct tables: one for annual data and another for quarterly metrics. For each financial metric, the script calculates and displays growth figures by comparing the current results with either the previous quarter's numbers or the previous year's figures. Additionally, it showcases the stock price along with the corresponding growth between these two data points, providing a comprehensive view of the stock's performance over time.
How to Use:
Typically, growth stocks will rally for a few quarters. However, after significant rallies, the stock needs rest. During this period, the stock will either consolidate or slide down slowly to take support at the key moving average. Importantly, during this time, sales and earnings may continue to grow while the stock is still consolidating.
Typically, after the stock consolidates significantly—even when sales and earnings numbers are increasing—the stock will finally start the next leg of the rally just before the next earnings date or immediately after the earnings report.
For this purpose, the script shows the EPS and sales growth. Additionally, the script displays the price when the previous earnings were declared along with the price growth. This data can be used to find patterns in the stock's behavior. Utilize this indicator to analyze growth patterns and make informed trading decisions based on historical performance and upcoming earnings expectations.
Key Metrics Analyzed:
Earnings Per Share (EPS): Monitors the diluted earnings per share to evaluate company profitability.
Total Revenue: Analyzes sales performance, providing insights into overall revenue generation.
Price Growth: Tracks changes in stock price alongside EPS and sales for comprehensive performance assessment.
Usage:
Ideal for investors and traders looking to evaluate company growth potential and make data-driven decisions.
Use in conjunction with other technical analysis tools for a holistic approach to stock analysis.
Intraday buy and sell indicator for stock and optionsThis powerful intraday trading indicator leverages two key crossovers for buy and sell signals, optimized for stocks and options trading:
EMA9 Crossover: The 9-period Exponential Moving Average (EMA9) responds quickly to price changes, making it ideal for capturing short-term momentum shifts. A bullish signal is generated when the stock price crosses above the EMA9, indicating a potential upward trend, while a bearish signal occurs when the price crosses below, signaling a potential reversal.
VWMA Crossover Confirmation: The Volume-Weighted Moving Average (VWMA) provides further confirmation of trend direction by integrating volume data. When the VWMA aligns with EMA9 (price crosses above both for buy or below for sell), the signals are validated, increasing the probability of a successful trade.
How It Works:
Buy Signal: Generated when the stock price crosses above EMA9 and VWMA in unison, indicating strong bullish momentum.
Sell Signal: Generated when the stock price crosses below EMA9 and VWMA, signaling potential bearish momentum.
This indicator is designed to provide high-quality entry and exit points for intraday trades, filtering out weaker signals and reducing whipsaws. It’s ideal for active traders seeking a strategic edge by combining price action with volume confirmation for higher probability trades.
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
Smart Ribbon V2 [FXSMARTLAB]The Smart Ribbon V2 indicator is designed to analyze market trends and momentum by plotting a series of moving averages with varying periods, all within a single overlay on the price chart. This approach creates a "ribbon" effect, enabling traders to visualize trend strength, reversals, and potential entry or exit points. The indicator provides flexibility through different moving average types, including some advanced ones like QUEMA (Quadruple Exponential Moving Average) and QuintEMA (Quintuple Exponential Moving Average). Each moving average is color-coded to indicate trend direction and momentum, making it visually intuitive and effective for quick decision-making in trend-following strategies.
The Smart Ribbon V2 helps traders:
Identify Trend Direction
Gauge Momentum
Spot Trend Reversals
Determine Entry and Exit Points
Detailed Explanation of QUEMA and QuintEMA
The QUEMA (Quadruple Exponential Moving Average) and QuintEMA (Quintuple Exponential Moving Average) are advanced smoothing techniques that build on traditional exponential moving averages (EMAs). Both offer higher sensitivity to recent price changes than standard EMAs by adding layers of exponential smoothing. These moving averages are particularly useful for traders looking for a more responsive indicator without the noise often present in shorter-period EMAs.
QUEMA (Quadruple Exponential Moving Average)
The QUEMA is calculated by applying the EMA calculation four times in succession. This method smooths out fluctuations in the price data, creating a balance between sensitivity to recent data and resistance to short-term noise.
The mathematical formula for QUEMA is:
QUEMA=4×EMA1−6×EMA2+4×EMA3−EMA4
This formula results in a moving average that is smoother than a triple EMA (TEMA) and provides a better response to price trends without excessive lag.
QuintEMA (Quintuple Exponential Moving Average)
The QuintEMA goes one step further by applying the EMA calculation five times in a row. This level of exponential smoothing is useful for identifying strong, persistent trends while remaining adaptive to recent price shifts.
The QuintEMA is calculated as :
QuintEMA=5×EMA1−10×EMA2+10×EMA3−5×EMA4+EMA5
The additional layer in QuintEMA further reduces the impact of short-term price fluctuations, making it especially useful in strongly trending markets.
The Smart Ribbon V2 combines the benefits of several moving average types to deliver a versatile tool for analyzing market trends, momentum, and potential reversals. With QUEMA and QuintEMA as advanced options, it allows traders to tailor the indicator to match their preferred trading style, whether it involves higher responsiveness or smoother trend visualization. This adaptability makes Smart Ribbon V2 a powerful choice for both novice and experienced traders seeking to improve their trend-following and market analysis strategies.
This is my first published indicator! If you like it, leave a comment, like, subscribe, or show your support. Based on your feedback and appreciation, I'll be happy to release more of my personal indicators in the future.
STDEMA Z-ScoreSTDEMA Z-Score Indicator
Overview
The STDEMA Z-Score Indicator provides a statistical approach to understanding price movements relative to its trend, using the Standard Deviation Exponential Moving Average (StdEMA) and Z-Score calculations.
Key Features
Z-Score Calculation: The Z-Score measures how far the current price deviates from its StdEMA, providing insight into whether the price is statistically overbought or oversold.
EMA of Z-Score: This smooths the Z-Score for easier interpretation and signals potential reversals or continuation patterns.
Customizable Inputs: Users can easily adjust the EMA length, standard deviation multiplier, and smoothing length to fit their trading style and market conditions.
How to Use
Buy Signals: Look for the Z-Score EMA to cross above the 0 line, indicating potential bullish momentum.
Sell Signals: Watch for the Z-Score EMA to cross below the 0 line, suggesting potential bearish momentum.
Real Relative Strength Indicator (Multi-Index Comparison)The Real Relative Strength (RRS) indicator implements the "Real Relative Strength" equation, as detailed on the Real Day Trading subreddit wiki. This equation measures whether a stock is outperforming a benchmark (such as SPY or any preferred ETF/index) by calculating price change normalized by the Average True Range (ATR) of both the stock and the indices it’s being compared to.
The RRS metric often highlights potential accumulation by institutional players. For example, in this chart, you can observe accumulation in McDonald’s beginning at 1:25 pm ET on the 5-minute chart and continuing until 2:55 pm ET. When used in conjunction with other indicators or technical analysis, RRS can provide valuable buy and sell signals.
This indicator also supports multi-index analysis, allowing you to plot relative strength against two indices simultaneously—defaulting to SPY and QQQ—to gain insights into the "real relative strength" across different benchmarks. Additionally, this indicator includes an EMA line and background coloring to help automatically identify relative strength trends, providing a clearer visualization than typical Relative Strength Comparison indicators.
Colored Moving Averages With RSI SignalsMoving Average (MA):
Helps to determine the overall market trend. If the price is above the MA, it may indicate an uptrend, and if below, a downtrend.
In this case, a Simple Moving Average (SMA) is used, but other types can be applied as well.
Relative Strength Index (RSI):
This is an oscillator that measures the speed and changes of price movements.
Values above 70 indicate overbought conditions (possible sell signal), while values below 30 indicate oversold conditions (possible buy signal).
Purpose of This Indicator:
Trading Signals: The indicator generates "Buy" and "Sell" signals based on the intersection of the price line and the moving average, as well as RSI values. This helps traders make more informed decisions.
Signal Filtering: Using RSI in combination with MA allows for filtering false signals since it considers not only the current trend but also the state of overbought or oversold conditions.
How to Use:
For Short-Term Trading: Traders can use buy and sell signals to enter trades based on short-term market fluctuations.
In Combination with Other Indicators: It can be combined with other indicators for a more comprehensive analysis (e.g., adding support and resistance levels).
Overall, this indicator helps traders respond more quickly and accurately to changes in market conditions, enhancing the chances of successful trades.
Linear Regression Channel UltimateKey Features and Benefits
Logarithmic scale option for improved analysis of long-term trends and volatile markets
Activity-based profiling using either touch count or volume data
Customizable channel width and number of profile fills
Adjustable number of most active levels displayed
Highly configurable visual settings for optimal chart readability
Why Logarithmic Scale Matters
The logarithmic scale option is a game-changer for analyzing assets with exponential growth or high volatility. Unlike linear scales, log scales represent percentage changes consistently across the price range. This allows for:
Better visualization of long-term trends
More accurate comparison of price movements across different price levels
Improved analysis of volatile assets or markets experiencing rapid growth
How It Works
The indicator calculates a linear regression line based on the specified period
Upper and lower channel lines are drawn at a customizable distance from the regression line
The space between the channel lines is divided into a user-defined number of levels
For each level, the indicator tracks either:
- The number of times price touches the level (touch count method)
- The total volume traded when price is at the level (volume method)
The most active levels are highlighted based on this activity data
Understanding Touch Count vs Volume
Touch count method: Useful for identifying key support/resistance levels based on price action alone
Volume method: Provides insight into levels where the most trading activity occurs, potentially indicating stronger support/resistance
Practical Applications
Trend identification and strength assessment
Support and resistance level discovery
Entry and exit point optimization
Volume profile analysis for improved market structure understanding
This Linear Regression Channel indicator combines powerful statistical analysis with flexible visualization options, making it an invaluable tool for traders and analysts across various timeframes and markets. Its unique features, especially the logarithmic scale and activity profiling, provide deeper insights into market behavior and potential turning points.
