Quartile For Loop [SeerQuant]Quartile For Loop (QFL)
- The Quartile For Loop (QFL) is an advanced trend-following and scoring oscillator designed to detect momentum shifts and trend transitions using a quartile-based analysis. By leveraging quartile calculations and iterative scoring logic, QFL delivers dynamic trend signals which can be tailored to suit various market conditions.
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⚙️ How It Works
1️⃣ Quartile-Based Calculation
The indicator calculates the weighted average of the first quartile (Q1), median (Q2), and third quartile (Q3) over a customizable length, providing a robust adaptive trend value.
2️⃣ For Loop Scoring System
A unique for-loop structure iteratively scores each quartile value against historical data, delivering actionable trend signals. Users can toggle between price-based and quartile-based scoring methods for flexibility.
3️⃣ Threshold Logic
Bullish (Uptrend): Score exceeds the positive threshold.
Bearish (Downtrend): Score falls below the negative threshold.
Neutral: Score remains between thresholds.
4️⃣ Visual Trend Enhancements
Optional candle coloring and a color-coded SMA provide clear visual cues for identifying trend direction. The adaptive quartile is dynamically updated to reflect changing market conditions.
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✨ Customizable Settings
Indicator Inputs
Quartile Length: Define the calculation length for quartile analysis.
Calculation Source: Choose the data source for quartile calculations (e.g., close price).
Alternate Signal: Toggle between price-based and quartile-based scoring.
Loop Settings
Start/End Points: Set the range for the for-loop scoring system.
Thresholds: Customize uptrend and downtrend thresholds.
Style Settings
Candle Coloring: Enable optional trend-based candle coloring.
Color Schemes: Select from five unique palettes for trend visualization.
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🚀 Features and Benefits
Quartile-Driven Analysis: Harnesses the statistical power of quartiles for adaptive trend evaluation.
Dynamic Scoring: Iterative scoring logic adjusts to market fluctuations.
Clear Visual Representation: Color-coded histograms, candles, and trendlines enhance readability.
Fully Customizable: Flexible inputs allow adaptation to diverse trading styles and strategies.
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📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Market analysis is inherently speculative and subject to risk. Users should consult a licensed financial advisor before making trading decisions. Use at your own discretion.
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M-oscillator
Keltner Channel Width PercentileThe Keltner Channel Width Percentile (KCWP) is a volatility-focused indicator designed to measure the relative expansion and contraction of the Keltner Channel bands over time. By calculating the width of the Keltner Channels (difference between the upper and lower bands) and normalizing it as a percentage of the channel's basis, the KCWP provides a dynamic view of market conditions.
This indicator tracks how wide or narrow the Keltner Channel bands are relative to historical observations using a percentile-based approach. When the KCWP value is high (near 100%), it signals that the current channel width is at or near its historical maximum, often indicating heightened volatility or a potential reversal. Conversely, when the KCWP is low (near 0%), it suggests that the channel width is contracting, often preceding periods of reduced volatility or consolidation.
Key Features:
Percentile-Based Volatility Ranking: The KCWP assigns a percentile rank to the current Keltner Channel width, providing a clear, visual representation of where current volatility stands relative to the past.
Customizable Keltner Channels:
Length: Defines the period for the channel’s basis (middle line).
ATR Length: Adjusts the Average True Range (ATR) period used for band calculations.
Bands Style: Choose between Average True Range, True Range, or Range for calculating channel widths.
Dynamic Smoothing Options: Includes multiple moving average types (SMA, EMA, WMA, HMA, RMA, VWMA) and smoothing lengths for refining the raw percentile values, reducing noise while retaining responsiveness.
Visual Indicators:
Gradient coloring for the raw percentile line, transitioning from blue (low values) to green (mid-range) to red (high values), helps quickly assess market conditions.
A smoothed line for clarity and actionable signals.
Signal Zones:
80% High Line: Marks historically wide bands, signaling elevated volatility and potential exhaustion or trend continuation.
20% Low Line: Marks historically narrow bands, signaling calm conditions or consolidation, often before a breakout.
How to Use It:
Trend Continuation or Reversals: High KCWP values (above 80%) may indicate overextended volatility, hinting at possible trend exhaustion or continuation. This is often paired with price action for confirmation.
Breakout Readiness: Low KCWP values (below 20%) suggest tightening price ranges and reduced volatility, signaling potential breakout opportunities.
Complement to Keltner Channels: Use the KCWP alongside traditional Keltner Channels for a complete view of volatility and price behavior.
Customization for Your Trading Style:
The KCWP provides several user-adjustable inputs, including:
Percentile Lookback: Adjust how much historical data is used for ranking.
Smoothing Options: Customize the moving average type and length for the percentile line.
Channel and Band Calculations: Fine-tune the channel’s length, ATR length, and multiplier to match your preferred volatility sensitivity.
The Keltner Channel Width Percentile is a versatile and intuitive tool that helps traders monitor volatility dynamics, anticipate market transitions, and refine entry and exit strategies. Whether you're trading breakouts, trends, or consolidations, the KCWP provides actionable insights into the heartbeat of the market.
Fusion Of Momentum Oscillator [A0A-Indicator]The "Fusion Of Momentum Oscillator " is an advanced trading tool, meticulously designed and developed by A0A, the original creator and innovator behind this unique script. Combining "Price" and "Interest" metrics, it provides traders with a sophisticated yet intuitive way to analyze market dynamics, offering unmatched clarity and actionable insights.
Key Features
Designed by A0A – Innovation at its Core
- This script reflects the visionary expertise of A0A, integrating proprietary methodologies to deliver an unparalleled trading experience.
Built to empower traders with a seamless blend of simplicity, functionality, and precision.
- Adaptable Timeframe Selection
Supports customizable timeframes to suit various trading strategies—whether you're a day trader, swing trader, or long-term investor.
Adjust the analysis to your preferred timeframe for deeper insights.
- Two Core Metrics for Market Analysis
Price: Tracks and visualizes price momentum with adjustable sensitivity and customizable periods, providing a clear view of trend strength.
Interest: Measures and highlights shifts in market activity, revealing potential areas of increased trading focus.
- Normalized Value Scale
Both metrics are normalized on a scale of -100 to 100, making them easy to interpret and directly comparable.
Offers a clear, standardized perspective on market trends and movements.
- Stunning Visual Representation
Dynamic Color Coding:
Positive and negative values for "Price" are color-coded for immediate trend recognition.
Smooth Transparency:
"Interest" is plotted as a semi-transparent area, drawing attention to key market activity changes.
Reference Levels
Horizontal markers at critical levels (-50, 0, 50) help traders easily identify zones of interest.
- Fully Customizable Aesthetics
Personalize color schemes for "Price" and "Interest" to match your visual preferences.
Create a clear and tailored visual experience that supports your trading workflow.
- Optimized for Speed and Accuracy
Built using efficient algorithms for fast, precise calculations without sacrificing performance.
Provides reliable results, even in fast-moving markets.
Why Choose the A0A Indicator?
Creator’s Legacy
Developed by A0A, this script incorporates expertise and innovation in trading technology.
Actionable Insights
Focuses on delivering signals that are clear, intuitive, and aligned with real-world market behavior.
Adaptability for All Traders
From beginners to professionals, this tool is flexible enough to meet the needs of any trader.
Perfect for Every Trading Style
Trend Followers
Stay on top of market momentum with clear visual cues.
Signal Seekers
Pinpoint potential reversal points and breakout zones with ease.
Strategic Investors
Make data-driven decisions with a focus on market behavior.
majikal78
Custom Volume Ratio Indicator
The Custom Volume Ratio Indicator is a unique tool designed for traders to analyze price movements in relation to trading volume. This indicator calculates the ratio of the price range (the difference between the highest and lowest prices of a candle) to the volume of that candle. By visualizing this ratio, traders can gain insights into market dynamics and potential price movements.
Key Features:
1. Price Range Calculation: The indicator computes the price range for each candle by subtracting the lowest price from the highest price. This gives traders an understanding of how much price fluctuated during that specific time frame.
2. Volume Measurement: It utilizes the trading volume of each candle, which reflects the number of shares or contracts traded during that period. Volume is a critical factor in confirming trends and reversals in the market.
3. Ratio Visualization: The primary output of the indicator is the ratio of price range to volume. A higher ratio may indicate increased volatility relative to volume, suggesting potential trading opportunities. Conversely, a lower ratio could imply a more stable market environment.
4. Color-Coded Bars: The bars representing the ratio are color-coded based on the candle's closing price relative to its opening price. Green bars indicate bullish candles (where the close is higher than the open), while red bars indicate bearish candles (where the close is lower than the open). This visual cue helps traders quickly assess market sentiment.
5. Background Highlighting: The indicator also features a subtle background color to enhance visibility, making it easier for traders to focus on key areas of interest on the chart.
Use Cases:
• Trend Confirmation: Traders can use the volume ratio to confirm existing trends. A rising ratio alongside increasing volume may suggest a strong bullish trend, while a declining ratio could indicate weakening momentum.
• Volatility Assessment: By analyzing the price range relative to volume, traders can identify periods of high volatility. This information can be crucial for setting stop-loss orders or determining entry points.
• Market Sentiment Analysis: The color-coded bars provide immediate insight into market sentiment, allowing traders to make informed decisions based on recent price action.
Overall, the Custom Volume Ratio Indicator serves as a valuable addition to any trader's toolkit, providing essential insights into market behavior and helping to inform trading strategies.
ROC-Weighted MA Oscillator [SeerQuant]ROC-Weighted MA Oscillator (ROCWMA)
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-based indicator which uniquely combines the Rate of Change (ROC) with customizable moving averages, offering a dynamic oscillator for trend analysis. Featuring z-score normalization and weighted MA integration, the ROCWMA delivers actionable trend signals with customizable thresholds.
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⚙️ How It Works
1️⃣ Rate of Change (ROC) Normalization
The indicator begins with a normalized ROC calculation over a customizable length, transforming raw momentum data into a dynamic range for enhanced analysis.
2️⃣ Weighted Moving Average (MA)
A custom moving average (MA) is calculated using selectable MA types such as TEMA, SMA, EMA, and more. The normalized ROC is then applied as a weight to derive the ROC-Weighted MA (RWMA), blending trend and momentum data.
3️⃣ Z-Score Oscillator
The RWMA is normalized using z-score calculations, resulting in a smoothed oscillator. This process highlights deviations from the mean, identifying overbought and oversold conditions dynamically.
4️⃣ Threshold Logic
Bullish (Uptrend): Oscillator exceeds the positive threshold.
Bearish (Downtrend): Oscillator drops below the negative threshold.
Neutral: Oscillator remains between thresholds.
5️⃣ Dynamic Visual Representation
A color-coded histogram reflects trend strength and direction.
Optional candle coloring visually emphasizes trends on the chart.
Gradient fills enhance clarity of threshold areas.
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✨ Customizable Settings
ROC Settings
Define the ROC length for momentum calculation.
MA Settings
Choose from multiple MA types (TEMA, EMA, SMA, etc.).
Customize the length and data source for MA calculations.
Adjust the signal length for smoothing.
Threshold Settings
Set neutral, bullish, and bearish thresholds to match your strategy.
Style Settings
Toggle candle coloring for visual trend enhancement.
Select from five unique color schemes to suit your chart style.
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🚀 Features and Benefits
Momentum-Weighted Analysis: Combines ROC with advanced moving averages for precise trend evaluation.
Dynamic Thresholds: Z-score-based logic adapts to market conditions.
Visual Clarity: Color-coded histograms, candles, and gradient fills make trend detection intuitive.
Highly Customizable: Flexible inputs and multiple MA types ensure adaptability to various trading styles.
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📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Users should consult a licensed financial advisor before making trading decisions. Use at your own risk.
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RSI Volatility Suppression Zones [BigBeluga]RSI Volatility Suppression Zones is an advanced indicator that identifies periods of suppressed RSI volatility and visualizes these suppression zones on the main chart. It also highlights breakout dynamics, giving traders actionable insights into potential market momentum.
🔵 Key Features:
Detection of Suppression Zones:
Identifies periods where RSI volatility is suppressed and marks these zones on the main price chart.
Breakout Visualization:
When the price breaks above the suppression zone, the box turns aqua, and an upward label is drawn to indicate a bullish breakout.
If the price breaks below the zone, the box turns purple, and a downward label is drawn for a bearish breakout.
Breakouts accompanied by a "+" label represent strong moves caused by short-lived, tight zones, signaling significant momentum.
Wave Labels for Consolidation:
If the suppression zone remains unbroken, a "wave" label is displayed within the gray box, signifying continued price stability within the range.
Gradient Intensity Below RSI:
A gradient strip below the RSI line increases in intensity based on the duration of the suppressed RSI volatility period.
This visual aid helps traders gauge how extended the low volatility phase is.
🔵 Usage:
Identify Breakouts: Use color-coded boxes and labels to detect breakouts and their direction, confirming potential trend continuation or reversals.
Evaluate Market Momentum: Leverage "+" labels for strong breakout signals caused by short suppression phases, indicating significant market moves.
Monitor Price Consolidation: Observe gray boxes and wave labels to understand ongoing consolidation phases.
Analyze RSI Behavior: Utilize the gradient strip to measure the longevity of suppressed volatility phases and anticipate breakout potential.
RSI Volatility Suppression Zones provides a powerful visual representation of RSI volatility suppression, breakout signals, and price consolidation, making it a must-have tool for traders seeking to anticipate market movements effectively.
Relative Risk MetricOVERVIEW
The Relative Risk Metric is designed to provide a relative measure of an asset's price, within a specified range, over a log scale.
PURPOSE
Relative Position Assessment: Visualizes where the current price stands within a user-defined range, adjusted for log scale.
Logarithmic Transformation: Utilizes the natural log to account for a log scale of prices, offering a more accurate representation of relative positions.
Calculation: The indicator calculates a normalized value via the function Relative Price = / log(UpperBound) − log(LowerBound) . The result is a value between 0 and 1, where 0 corresponds to the lower bound and 1 corresponds to the upper bound on a log scale.
VISUALIZATION
The indicator plots three series:
Risk Metric - a plot of the risk metric value that’s computed from an asset's relative price so that it lies within a logarithmic range between 0.0 & 1.0.
Smoothed Risk Metric - a plot of the risk metric that’s been smoothed.
Entry/Exit - a scatter plot for identified entry and exit. Values are expressed as percent and are coded as red being exit and green being entity. E.g., a red dot at 0.02 implies exit 2% of the held asset. A green dot at 0.01 implies use 1% of a designated capital reserve.
USAGE
Risk Metric
The risk metric transformation function has several parameters. These control aspects such as decay, sensitivity, bounds and time offset.
Decay - Acts as an exponent multiplier and controls how quickly dynamic bounds change as a function of the bar_index.
Time Offset - provides a centering effect of the exponential transformation relative to the current bar_index.
Sensitivity - controls how sensitive to time the dynamic bound adjustments should be.
Baseline control - Serves as an additive offset for dynamic bounds computation which ensures that bounds never become too small or negative.
UpperBound - provides headroom to accomodate growth an assets price from the baseline. For example, an upperbound of 3.5 accommodates a 3.5x growth from the baseline value (e.g., $100 -> $350).
LowerBound - provides log scale compression such that the overall metric provides meaningful insights for prices well below the average whilst avoiding extreme scaling. A lowerbound of 0.25 corresponds to a price that is approx one quarter of a normalised baseline in a log context.
Weighted Entry/Exit
This feature provides a weighted system for identifying DCA entry and exit. This weighting mechanism adjusts the metric's interpretation to highlight conditions based on dynamic thresholds and user-defined parameters to identify high-probability zones for entry/exit actions and provide risk-adjusted insights.
Weighting Parameters
The weighting function supports fine-tuning of the computed weighted entry/exit values
Base: determines the foundational multiplier for weighting the entry/exit value. A higher base amplifies the weighting effect, making the weighted values more pronounced. It acts as a scaling factor to control the overall magnitude of the weighting.
Exponent: adjusts the curve of the weighting function. Higher exponent values increase sensitivity, emphasizing differences between risk metric values near the entry or exit thresholds. This creates a steeper gradient for the computed entry/exit value making it more responsive to subtle shifts in risk levels.
Cut Off: specifies the maximum percentage (expressed as a fraction of 1.0) that the weighted entry/exit value can reach. This cap ensures the metric remains within a meaningful range and avoids skewing
Exit condition: Defines a threshold for exit. When the risk metric is below the exit threshold (but above the entry threshold) then entry/exit is neutral.
Entry condition: Defines a threshold for entry. When the risk metric is above the entry threshold (but below the exit threshold) then entry/exit is neutral.
Weighting Behaviour
For entry conditions - value is more heavily weighted as the metric approaches the entry threshold, emphasizing lower risk levels.
For exit conditions - value is more heavily weighted as the metric nears the exit threshold, emphasizing increased risk levels.
USE-CASES
Identifying potential overbought or oversold conditions within the specified logarithmic range.
Assisting in assessing how the current price compares to historical price levels on a logarithmic scale.
Guiding decision-making processes by providing insights into the relative positioning of prices within a log context
CONSIDERATIONS
Validation: It's recommended that backtesting over historical data be done before acting on any identified entry/exit values.
User Discretion: This indicator focus on price risk. Consider other risk factors and general market conditions as well.
Dual EMA Proportion Variance | JeffreyTimmermansDual EMA Proportion Variance
The "Dual EMA Proportion Variance" Indicator provides a robust way to analyze price trends, volatility, and momentum using dual EMA calculations combined with percentile-based thresholds. This approach enables traders to identify significant bullish and bearish trends while incorporating smoothing and tailoring options for better adaptability.
Key Features
Dual EMA with Proportion Variance
DEMA Calculation: Computes the Dual Exponential Moving Average (DEMA) based on a user-defined length and source.
Proportion Thresholds: Uses percentile-based thresholds (e.g., 60/45, 60/40, 55/45, or 55/40) to determine upper and lower bounds for trend detection. Percentile thresholds help identify key levels of market behavior based on historical data.
Momentum and Volatility Analysis
Momentum Calculation: Computes momentum based on proximity to percentile levels, smoothed using a simple moving average (SMA) if enabled.
Volatility Incorporation: Uses the standard deviation (SD) of the lower percentile (PerDown) to define additional levels of significance.
Smoothing and Trend Calculation
Smoothing Options: Enables optional smoothing for momentum and trend values, helping reduce noise.
EMA Confluence: Adds an additional EMA overlay to enhance the trend confirmation process.
Customizable Visuals
Background Coloring: Dynamically changes the background color based on trend direction (bullish or bearish).
Momentum Plotting: Displays smoothed momentum and EMA confluence lines on the chart, with clear visual differentiation.
Alerts
Bullish Signal: Triggers when the trend transitions from neutral or bearish to bullish.
Bearish Signal: Triggers when the trend transitions from neutral or bullish to bearish.
Inputs Overview
DEMA Inputs
Length (DemaLen): Defines the length of the Dual EMA calculation.
Source (DemaSrc): Allows selection of price data (e.g., high, low, close) for the DEMA computation.
Proportion Settings
Proportion Length (PerLen): Defines the lookback period for percentile calculations.
Proportion Type (pertype): Choose from predefined combinations (e.g., 60/45, 60/40) to customize thresholds.
Smoothing Options
Enable Smoothing (UseSmoothing): Toggle to enable or disable smoothing.
Smoothing Length (SmoothingLen): Specifies the lookback period for smoothing.
Standard Deviation
Length (SDlen): Length of the lookback period used to calculate the standard deviation.
Tailoring
Bullish/Bearish Colors (ColUp/ColDown): Customizable colors for bullish and bearish trends.
Background Colors (ShowBGCol): Toggle to enable or disable background coloring.
Momentum Plot (PlotMomentum): Toggle to show or hide the momentum plot.
EMA Confluence
Enable Extra EMA (IncludeEma): Adds an additional EMA layer for trend confirmation.
Length (EmaLen): Defines the length of the EMA.
Indicator Behavior
Trend Detection
Bullish Trend: When the smoothed momentum (smoothedPT) is above zero and higher than the EMA (if enabled).
Bearish Trend: When the smoothed momentum is below zero and lower than the EMA (if enabled).
Signal Generation
Bullish Signal: Triggered on a crossover of smoothedTrend from negative to positive.
Bearish Signal: Triggered on a crossunder of smoothedTrend from positive to negative.
Customizations
Percentile Adjustments: Choose from various proportion thresholds to suit specific market conditions.
Smoothing Options: Fine-tune the level of noise reduction by adjusting smoothing parameters.
Visual Tailoring: Customize chart visuals, including colors, momentum plots, and background highlights.
EMA Inclusion: Optionally enable the extra EMA for more conservative trend confirmation.
Use Cases
Momentum Trading: Identify bullish or bearish momentum shifts based on percentile levels.
Volatility Assessment: Incorporate standard deviation levels to evaluate price volatility.
Trend Following: Align trades with dominant market trends using percentile thresholds and EMA confirmation.
Alerts for Automation: Set alerts for real-time notifications of potential trade opportunities.
This indicator provides flexibility and precision, making it suitable for a variety of trading styles, including trend following, swing trading, and momentum-based strategies.
This script is inspired by "Patito_1" . However, it is more advanced and includes additional features and options.
-Jeffrey
MCDX_SignalThe MCDX indicator (Market Cycle Dynamic Index) is a technical indicator developed by Trung Pham. It is a tool used for analyzing the stock market, often utilized to identify big money flow (Big Money) and evaluate the strength of individual stocks or the overall market.
MCDX is known for its distinctive histogram chart with red and green bars. The red bars typically represent the inflow of big money, while the green bars indicate small money flow or outflows.
[blackcat] L1 Small Wave Operation L1 Small Wave Operation
Overview
Are you looking to catch those elusive small waves in the market? Look no further than " L1 Small Wave Operation." This script offers a unique way to identify potential buying opportunities by analyzing price movements, volume changes, and trend directions. With customizable inputs and clear visual indicators, it’s designed to help traders spot favorable entry points with precision.
Features
Dynamic Signal Identification: Automatically detects two types of buy signals labeled "S" and "B."
Adaptable Parameters: Allows users to adjust low period, high period, EMA periods, SMA period, and various threshold values to fine-tune the strategy.
Visual Clarity: Plots K and D lines along with four distinct threshold levels for easy visualization.
Condition-Based Signals: Uses multiple conditions including volume increases, price actions, and crossover events to confirm signals.
How It Works
Calculate Percent Range: Determines where the current closing price lies within the recent low and high range.
Compute Moving Averages: Calculates Exponential Moving Average (EMA) and Simple Moving Average (SMA) of the percent range.
Define Conditions: Checks for bullish or strong bullish patterns, uptrends, and specific crossover events between K and D lines.
Generate Signals: Marks potential buying opportunities when predetermined conditions are met.
How To Use
Add this script to your TradingView chart.
Adjust the input parameters according to your preferred settings.
Monitor the plotted lines and look for "S" and "B" labels indicating buy signals.
Consider incorporating these signals into a broader trading strategy that includes risk management techniques.
What Makes It Special
Flexibility: Users can easily modify parameters to adapt the script to different markets or personal preferences.
Automation: Saves time by automatically scanning for trade setups based on predefined rules.
Comprehensive Analysis: Combines multiple factors like volume, price action, and moving averages to provide reliable signals.
Limitations
Past performance does not guarantee future results.
Market conditions can vary, affecting signal reliability.
Not suitable for very short-term trades without additional refinements.
Notes
Always perform backtesting on historical data before implementing live trades.
Understand the underlying logic of the script to avoid misinterpretation of signals.
Regularly review and adjust parameters based on changing market dynamics.
Relative Open Interest - TradingriotRelative Open Interest
This indicator presents a normalized visualization of Open Interest, employing methodology similar to oscillators like RSI.
It transforms raw Open Interest data into an intuitive format that helps identify significant shifts in market positioning within perpetual futures markets.
Overbought Territory (>70)
When the indicator enters overbought territory, it signals substantial new directional perpetuals futures increase in the market.
This surge in positioning can signal two potential scenarios:
Momentum Continuation: The influx of new participants reinforces the existing trend
Mean Reversion: The rapid accumulation of positions creates conditions for a potential reversal
Oversold Territory (<30)
Oversold readings indicate a significant reduction in open positions, typically through a combination of:
Voluntary position closures
Stop-loss triggers
Forced liquidations
These conditions often present compelling mean reversion opportunities as the market digests this rapid position reduction.
Implementation Framework
While this indicator provides valuable insights into market positioning dynamics, it should be integrated within a comprehensive analytical framework rather than used in isolation.
The signals it generates are most effective when confirmed by complementary technical and fundamental analysis tools.
The indicator's strength lies in its ability to quantify and visualize significant changes in market participation, offering traders a sophisticated metric for understanding potential market inflection points and positioning dynamics.
Can be used on any timeframe with any lookback, make sure to backtest the settings that work best for you.
Do not forget that indicator only works when used on Binance perpetual futures charts.
MATA GOLD RATIOMata Gold Instrument: User Guide
The Instrument to Gold Oscillator is a technical analysis tool that normalizes the ratio of an instrument's price (e.g., BTC/USD) to the price of gold (XAU/USD) into a 0-100 scale. This provides a clear and intuitive way to evaluate the relative performance of an instrument compared to gold over a specified period.
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How It Works
1. Calculation of the Ratio:
The ratio is calculated as:
\text{Ratio} = \frac{\text{Instrument Price}}{\text{Gold Price}}
2. Normalization:
The ratio is normalized using the highest and lowest values over a user-defined period (length), typically 14 periods:
\text{Normalized Ratio} = \frac{\text{Ratio} - \text{Min(Ratio)}}{\text{Max(Ratio)} - \text{Min(Ratio)}} \times 100
3. Overbought/Oversold Levels:
Above 80: The instrument is relatively expensive compared to gold (overbought).
Below 20: The instrument is relatively cheap compared to gold (oversold).
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How to Use the Oscillator
1. Identify Overbought and Oversold Levels:
If the oscillator rises above 80, the instrument may be overvalued relative to gold. This could signal a potential reversal or correction.
If the oscillator falls below 20, the instrument may be undervalued relative to gold. This could signal a buying opportunity.
2. Track Trends:
Rising oscillator values indicate the instrument is gaining value relative to gold.
Falling oscillator values indicate the instrument is losing value relative to gold.
3. Crossing the Midline (50):
When the oscillator crosses above 50, the instrument's value is gaining strength relative to gold.
When it crosses below 50, the instrument is weakening relative to gold.
4. Combine with Other Indicators:
Use this oscillator alongside other technical indicators (e.g., RSI, MACD, STOCH) for more robust decision-making.
Confirm signals from the oscillator with price action or volume analysis.
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Example Scenarios
1. Trading Cryptocurrencies Against Gold:
If BTC/USD's oscillator value is above 80, Bitcoin may be overvalued relative to gold. Consider reducing exposure or looking for short opportunities.
If BTC/USD's oscillator value is below 20, Bitcoin may be undervalued relative to gold. This could be a good time to accumulate.
2. Commodities vs. Gold:
Analyze the relative strength of commodities (e.g., oil, silver) against gold using the oscillator to identify periods of overperformance or underperformance.
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Advantages of the Oscillator
Relative Performance Insight: Tracks the performance of an instrument relative to gold, providing a macro perspective.
Clear Visual Representation: The 0-100 scale makes it easy to identify overbought/oversold conditions and trend shifts.
Customizable Periods: The user-defined length allows flexibility in analyzing short- or long-term trends.
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Limitations
Dependence on Gold: As the oscillator is based on gold prices, any external shocks to gold (e.g., geopolitical events) can influence its signals.
No Absolute Buy/Sell Signals: The oscillator should not be used in isolation but as part of a broader analysis strategy.
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By using the Instrument to Gold Oscillator effectively, traders and investors can gain valuable insights into the relative valuation and performance of assets compared to gold, enabling more informed trading and investment decisions.
[LeonidasCrypto]Volume Force IndexVolume Force Index (VFI)
Overview
The Volume Force Index (VFI) is a technical indicator that measures the balance between buying and selling pressure in the market by analyzing volume patterns. It helps traders identify potential trend reversals and confirm trend strength.
What It Measures
Buying vs. selling volume pressure
Market momentum
Potential overbought/oversold conditions
Volume trend strength
How to Read the Indicator
Main Components:
Main Line (Green/Red)
Green: Buying pressure is dominant
Red: Selling pressure is dominant
The steeper the slope, the stronger the pressure
Signal Line (Yellow)
Fast EMA that helps identify trend changes
Acts as an early warning system for potential reversals
Dynamic Bands (Red/Green lines)
Adapt to market volatility
Help identify extreme conditions
Based on actual market volatility rather than fixed levels
Signals to Watch
Trend Direction:
Rising oscillator = Increasing buying pressure
Falling oscillator = Increasing selling pressure
Signal Line Crossovers:
Main line crosses above signal line = Potential bullish signal
Main line crosses below signal line = Potential bearish signal
Band Touches:
Touching upper band = Possible buying exhaustion
Touching lower band = Possible selling exhaustion
Color Changes:
Green to Red = Shift to selling pressure
Red to Green = Shift to buying pressure
Best Practices
When to Use:
Trend confirmation
Identifying potential reversals
Volume analysis
Market strength assessment
Tips:
Use in conjunction with price action
Look for divergences with price
More reliable on higher timeframes
Consider market context
Default Settings:
MA Period: 14 (volume calculation)
Smooth Length: 3 (noise reduction)
EMA Period: 4 (signal line)
Volatility Period: 20 (band calculation)
Volatility Multiplier: 1.5 (band width)
Best Markets to Apply
Any market with reliable volume data
Summary
The VFI is a powerful tool that combines volume analysis with trend identification. Its adaptive nature makes it suitable for various market conditions, but it should be used as part of a complete trading strategy, not in isolation.
MACD MTFThis table is a technical indicator that shows the proximity between the MACD line and the signal line of the multitemporal MACD (Moving Average Convergence Divergence) indicator. When the crossover is bullish, the timeframe will light up in green, and vice versa, if the crossover is bearish, the timeframe will light up in red. With this table, we can save time when detecting opportunities, as with one glance, we can spot potential MACD crossovers (which tend to indicate price action inflection points).
Esta tabla es un indicador técnico que muestra la proximidad entre la línea MACD y la línea de señal del indicador MACD (Moving Average Convergence Divergence) multitemporalmente. Cuando el cruce es alcista la temporalidad se iluminará en verde, y viceversa, si el cruce es bajista la temporalidad se iluminará en rojo. Con esta tabla podremos ahorrar tiempo a la hora de detectar oportunidades, pues de un vistazo podremos detectar posibles cruces de MACD (tienden a señalar puntos de inflexión en la acción de precio)
ADX, RSI, & TSI utilized as ART [by KeremErtem]The "ADX, RSI, & TSI utilized as ART" script is an advanced technical analysis tool designed by Kerem Ertem to help traders identify trend direction, strength, and potential reversals. It integrates the Average Directional Index (ADX), Relative Strength Index (RSI), and True Strength Index (TSI) into a cohesive, user-friendly indicator known as ART (Adaptive Relative Trend) .
What it does:
Trend Detection: Utilizes ADX to identify the strength and direction of trends.
Momentum Analysis: Uses RSI to gauge the speed and change of price movements.
Signal Smoothing: Incorporates TSI to reduce noise and provide clearer signals.
How it works:
Input Settings: Customize the source (hlc3), signal period (l1), and lookback range (l2) to tailor the indicator to your trading strategy.
Angle Calculation (ACI): The script calculates the angle of price movements using a custom function, which combines the lowest and highest prices with moving averages to create a smoother representation of trend angles.
Weighted Average: The ACI function is applied to the source price to derive a weighted average, which serves as the foundation for further calculations.
RSI Integration: The script calculates the RSI based on the weighted average price and further refines it using the ACI function to enhance signal accuracy.
ADX Calculation: ADX values are computed and adjusted using the ACI function to provide a clearer indication of trend strength and direction.
ART Indicator: The combined results of the RSI and ADX calculations form the ART indicator, which is plotted alongside trend lines and bands for comprehensive trend analysis.
Bands and Trend Lines: The script plots upper, lower, and center bands based on standard deviation and moving averages, providing visual cues for potential support and resistance levels.
How to use it:
Customization: Adjust the signal period, lookback range, RSI length, and ADX settings to fit your trading preferences.
Interpretation: Green ART signal lines indicate bullish trends, while red lines indicate bearish trends. The trend line color changes from cyan to magenta based on the trend direction.
Bands: Use the upper and lower bands as potential entry and exit points, with the center line acting as a trend confirmation.
This script offers a comprehensive approach to trend and momentum analysis, making it a valuable tool for traders seeking to enhance their trading strategies with advanced technical indicators.
Price and Volume Divergence Analyzer
How to Use the Indicator
Main Purpose:
Identify divergences between price movement, the volume line, and the weighted volume line to predict potential reversals.
Volume Line Explanation:
At zero: Equal buying and selling volume.
At 1: Double the buying volume vs. selling.
At -1: Double the selling volume vs. buying.
Divergence:
Price rising, volume line falling: Sellers offloading to buyers—likely reversal downward.
Price falling, volume line rising: Buyers stepping in—likely reversal upward.
Higher/Lower Volume Movement Line:
At zero: Equal volume required for price movement.
At 1: High efficiency—half the volume needed to move price.
At -1: Low efficiency—double the volume needed to move price.
Above volume line: Movement aligns with efficient volume.
Below volume line: Inefficient price movement.
Candle Fill Colors:
Shaded based on whether the current close is higher or lower than the previous close.
Settings Overview
EMA Settings:
Timeframe Selection:
Use a lower timeframe than your chart for accuracy. Avoid selecting a timeframe higher than your chart.
EMA Length Option:
Default: Sets lengths automatically (EMA = 14, EMA of EMA = 3).
User Input: Allows custom EMA length.
Calculation Type:
EMA: Standard exponential moving average.
EMA of EMA: Applies EMA three times for smoother values.
Volume Line Settings:
Line Width: Adjust thickness.
Colors:
More Buying: Green (default).
More Selling: Red (default).
Higher/Lower Volume Movement Line:
Line Width: Adjust thickness.
Colors:
Higher Volume Movement: Indicates higher volume required.
Lower Volume Movement: Indicates lower volume required.
Up/Down Candle Fill:
Colors:
Up Candle: Green (default).
Down Candle: Red (default).
Transparency: Adjust percentage for visibility.
Balance Line Settings:
Line Width and Color: Equilibrium line showing equal buying/selling volume at zero.
Flow-Weighted Volume Oscillator (FWVO)Volume Dynamics Oscillator (VDO)
Description
The Volume Dynamics Oscillator (VDO) is a powerful and innovative tool designed to analyze volume trends and provide traders with actionable insights into market dynamics. This indicator goes beyond simple volume analysis by incorporating a smoothed oscillator that visualizes the flow and momentum of trading activity, giving traders a clearer understanding of volume behavior over time.
What It Does
The VDO calculates the flow of volume by scaling raw volume data relative to its highest and lowest values over a user-defined period. This scaled volume is then smoothed using an exponential moving average (EMA) to eliminate noise and highlight significant trends. The oscillator dynamically shifts above or below a zero line, providing clear visual cues for bullish or bearish volume pressure.
Key features include:
Smoothed Oscillator: Displays the direction and momentum of volume using gradient colors.
Threshold Markers: Highlights overbought or oversold zones based on upper and lower bounds of the oscillator.
Visual Fill Zones: Uses color-filled areas to emphasize positive and negative volume flow, making it easy to interpret market sentiment.
How It Works
The calculation consists of several steps:
Smoothing with EMA: An EMA of the scaled volume is applied to reduce noise and enhance trends. A separate EMA period can be adjusted by the user (Volume EMA Period).
Dynamic Thresholds: The script determines upper and lower bounds around the smoothed oscillator, derived from its recent highest and lowest values. These thresholds indicate critical zones of volume momentum.
How to Use It
Bullish Signals: When the oscillator is above zero and green, it suggests strong buying pressure. A crossover from negative to positive can signal the start of an uptrend.
Bearish Signals: When the oscillator is below zero and blue, it indicates selling pressure. A crossover from positive to negative signals potential bearish momentum.
Overbought/Oversold Zones: Use the upper and lower threshold levels as indicators of extreme volume momentum. These can act as early warnings for trend reversals.
Traders can adjust the following inputs to customize the indicator:
High/Low Period: Defines the period for volume scaling.
Volume EMA Period: Adjusts the smoothing factor for the oscillator.
Smooth Factor: Controls the responsiveness of the smoothed oscillator.
Originality and Usefulness
The VDO stands out by combining dynamic volume scaling, EMA smoothing, and gradient-based visualization into a single, cohesive tool. Unlike traditional volume indicators, which often display raw or cumulative data, the VDO emphasizes relative volume strength and flow, making it particularly useful for spotting reversals, confirming trends, and identifying breakout opportunities.
The integration of color-coded fills and thresholds enhances usability, allowing traders to quickly interpret market conditions without requiring deep technical expertise.
Chart Recommendations
To maximize the effectiveness of the VDO, use it on a clean chart without additional indicators. The gradient coloring and filled zones make it self-explanatory, but traders can overlay basic trendlines or support/resistance levels for additional context.
For advanced users, the VDO can be paired with price action strategies, candlestick patterns, or other trend-following indicators to improve accuracy and timing.
ueuito Custom Moving Averages and VWMA TrendDescription in English:
is a customizable indicator that combines multiple technical analysis tools to identify market trends and buy/sell signals. It integrates moving averages (including VWMA), RSI, MACD, and various configurable levels, providing detailed visual analysis on the chart.
Key Features:
Customizable Moving Averages:
Supports SMA, EMA, WMA, VWMA, and RMA.
Allows for customizing the period and displaying up to two moving averages simultaneously.
VWMA with RSI Indication:
VWMA changes color based on RSI conditions:
Overbought color when RSI exceeds a configurable level.
Oversold color when RSI drops below a configurable level.
MACD and Crossovers:
Detects MACD crossovers with the signal line and highlights them on the chart.
Includes visual indicators to mark key moments of MACD rising or falling.
Overbought/Oversold Signals:
Adds visual markers when RSI exceeds user-defined levels (overbought or oversold).
MACD Level Indicators:
Displays specific values on the chart when MACD reaches predefined levels, with color adjustments based on trend direction.
Advanced Configurations:
Configurable parameters for vertical offset, label colors, and alert levels.
Provides flexibility to tailor the indicator’s appearance and behavior.
Still improving...
Williams %R IntensityOverview
"Williams %R Intensity" is a unique indicator that combines the classic Williams %R with a dynamic intensity-based visualization. This indicator helps traders identify overbought and oversold conditions with enhanced clarity while also predicting potential future crossovers using smoothed slope calculations. It is tailored for traders seeking a more nuanced approach to trend detection and momentum analysis.
Features and How It Works
Core Calculation:
Williams %R : Measures the current closing price relative to the highest high and lowest low over a user-defined length (default: 14).
Exponential Moving Average (EMA) : Smoothens the %R values for better trend tracking (default length: 14).
Overbought/Oversold Zones :
Upper and lower threshold levels are set at -20 (overbought) and -80 (oversold), making it easier to identify extreme conditions.
Intensity Visualization:
The intensity is calculated based on the absolute distance between Williams %R and its EMA.
The closer the value is to extreme levels, the more pronounced the visual intensity, capping at 90% transparency.
Overbought conditions are highlighted in red; oversold conditions in teal.
Crossover Signals:
Bullish Cross: When Williams %R crosses above its EMA in the oversold zone.
Bearish Cross: When Williams %R crosses below its EMA in the overbought zone.
The background color changes (lime for bullish, red for bearish) to highlight these critical moments when enabled via the "Show Cross & Predicted Cross Signal" option.
Future Cross Prediction:
Uses the smoothed slope of %R to estimate future values over a customizable number of steps.
Predicts potential bullish or bearish crosses based on the interaction between the predicted Williams %R and EMA.
Light green and light red background colors indicate predicted bullish and bearish crosses, respectively.
How to Use
Trend Detection: Use the Williams %R and its EMA to identify ongoing trends and confirm their strength.
Overbought/Oversold Analysis: Pay attention to crosses in extreme zones (-20 and -80) for potential reversals.
Intensity-Based Filtering: The intensity visualization helps to focus on the most significant conditions, reducing noise.
Cross Prediction: Enable "Show Cross & Predicted Cross Signal" to anticipate future turning points and plan trades proactively.
Example Applications
Scalping: Monitor rapid crossovers in lower timeframes for quick entries and exits.
Swing Trading: Use the overbought/oversold zones and cross predictions to identify longer-term reversal opportunities.
Risk Management: The intensity visualization can be used to filter out weak signals, ensuring higher-quality trade setups.
Chart Information
For clarity and compliance with publishing standards:
The chart should display the full symbol, timeframe, and the script name ("Williams %R Intensity").
Ensure the indicator is visible and properly configured for the chart.
Xmaster Formula Indicator [TradingFinder] No Repaint Strategies🔵 Introduction
The Xmaster Formula Indicator is a powerful tool for forex trading, combining multiple technical indicators to provide insights into market trends, support and resistance levels, and price reversals. Developed in the early 2010s, it is widely valued for generating reliable buy and sell signals.
Key components include Exponential Moving Averages (EMA) for identifying trends and price momentum, and MACD (Moving Average Convergence Divergence) for analyzing trend strength and direction.
The Stochastic Oscillator and RSI (Relative Strength Index) enhance accuracy by signaling potential price reversals. Additionally, the Parabolic SAR assists in identifying trend reversals and managing risk.
By integrating these tools, the Xmaster Formula Indicator provides a comprehensive view of market conditions, empowering traders to make informed decisions.
🔵 How to Use
The Xmaster Formula Indicator offers two distinct methods for generating signals: Standard Mode and Advance Mode. Each method caters to different trading styles and strategies.
Standard Mode :
In Standard Mode, the indicator uses normalized moving average data to generate buy and sell signals. The difference between the short-term (10-period) and long-term (38-period) EMAs is calculated and normalized to a 0-100 scale.
Buy Signal : When the normalized value crosses above 55, accompanied by the trend line turning green, a buy signal is generated.
Sell Signal : When the normalized value crosses below 45, and the trend line turns red, a sell signal is issued.
This mode is simple, making it ideal for traders looking for straightforward signals without the need for additional confirmations.
Advance Mode :
Advance Mode combines multiple technical indicators to provide more detailed and robust signals.
This method analyzes trends by incorporating :
🟣 MACD
Buy Signal : When the MACD histogram bars are positive.
Sell Signal : When the MACD histogram bars are negative.
🟣 RSI
Buy Signal : When RSI is below 30, indicating oversold conditions.
Sell Signal : When RSI is above 70, suggesting overbought conditions.
🟣 Stochastic Oscillator
Buy Signal : When Stochastic is below 20.
Sell Signal : When Stochastic is above 80.
🟣 Parabolic SAR
Buy Signal : When SAR is below the price.
Sell Signal : When SAR is above the price.
A signal is generated in Advance Mode only when all these indicators align :
Buy Signal : All conditions point to a bullish trend.
Sell Signal : All conditions indicate a bearish trend.
This mode is more comprehensive and suitable for traders who prefer deeper analysis and stronger confirmations before executing trades.
🔵 Settings
Method :
Choose between "Standard" and "Advance" modes to determine how signals are generated. In Standard Mode, signals are based on normalized moving average data, while in Advance Mode, signals rely on the combination of MACD, RSI, Stochastic Oscillator, and Parabolic SAR.
Moving Average Settings :
Short Length : The period for the short-term EMA (default is 10).
Mid Length : The period for the medium-term EMA (default is 20).
Long Length : The period for the long-term EMA (default is 38).
MACD Settings :
Fast Length : The period for the fast EMA in the MACD calculation (default is 12).
Slow Length : The period for the slow EMA in the MACD calculation (default is 26).
Signal Line : The signal line period for MACD (default is 9).
Stochastic Settings :
Length : The period for the Stochastic Oscillator (default is 14).
RSI Settings :
Length : The period for the Relative Strength Index (default is 14).
🔵 Conclusion
The Xmaster Formula Indicator is a versatile and reliable tool for forex traders, offering both simplicity and advanced analysis through its Standard and Advance modes. In Standard Mode, traders benefit from straightforward signals based on normalized moving average data, making it ideal for quick decision-making.
Advance Mode, on the other hand, provides a more detailed analysis by combining multiple indicators like MACD, RSI, Stochastic Oscillator, and Parabolic SAR, delivering stronger confirmations for critical market decisions.
While the Xmaster Formula Indicator offers valuable insights and reliable signals, it is important to use it alongside proper risk management and other analytical methods. By leveraging its capabilities effectively, traders can enhance their trading strategies and achieve better outcomes in the dynamic forex market.
RSI Team Synergy | JeffreyTimmermansRSI Team Synergy
The "RSI Team Synergy" indicator is an advanced and highly customizable tool that integrates a Double RSI (DRSI) approach for comprehensive trend and momentum analysis. It utilizes two layers of RSI calculations, along with optional smoothing and various moving average types, to enhance signal accuracy. The dynamic visuals and alerts make this indicator a valuable resource for traders aiming to optimize their strategies.
Key Features
Double RSI (DRSI) Calculation
First RSI (Primary Layer): Captures the core price momentum using a configurable period.
Second RSI (DRSI Layer): Applies a second RSI calculation to the smoothed first RSI, refining signals and amplifying trend accuracy.
Double RSI Formula: Combines the smoothed RSI layers into a single robust indicator that adapts to market conditions.
Smoothing and Advanced Moving Averages
Optional Smoothing: Enables users to reduce noise by applying smoothing to both RSI layers.
Advanced MA Options: Supports multiple MA types, including SMA, EMA, WMA, RMA, DEMA, TEMA, VWMA, ZLEMA, and HMA. These can be applied to tailor the indicator to specific trading conditions.
Separate Configurations: Independent smoothing lengths and types for each RSI layer provide unparalleled customization.
Threshold and Signal System
Long Threshold: Highlights bullish conditions when the Double RSI exceeds the threshold.
Short Threshold: Signals bearish conditions when the Double RSI falls below the threshold.
Directional State: Tracks the overall direction using a state-based signal system (bullish, bearish, or neutral).
Dynamic Visualization
Oscillator Color Coding: Green shades for bullish momentum. Red shades for bearish momentum. Dynamic gradients for smoother transitions.
Glow Effect: Optional glowing lines enhance the visual clarity of the oscillator.
Threshold Lines: Configurable dashed horizontal lines to mark critical levels for easy reference.
Bar Color Integration
Bar Coloring: Matches bar colors to the oscillator's direction for cohesive visualization.
Advanced Control: Toggle bar coloring on/off without affecting other plots.
Alerts
Bullish Signal Alert: Triggers when the Double RSI crosses above the long threshold.
Bearish Signal Alert: Triggers when the Double RSI crosses below the short threshold.
Custom Messages: Alerts are equipped with descriptive messages for actionable insights.
Signal Arrows
Bullish Arrow (↑): Marks upward trends directly on the chart.
Bearish Arrow (↓): Highlights downward trends, ensuring traders never miss an opportunity.
Improvements
Customizable Thresholds: Adjustable long and short thresholds allow traders to fine-tune sensitivity.
Enhanced Smoothing Control: Separate smoothing options for each RSI layer provide flexibility in noise reduction.
Multiple MA Types: Extensive support for advanced moving averages to suit diverse trading preferences.
Color-Coded Oscillator: Improves trend visibility with gradient-based coloring and optional glow effects.
Signal Detection: Clear and intuitive arrows directly on the chart for quick signal interpretation.
Alerts and Notifications: Comprehensive alert conditions keep traders informed in real-time.
Use Cases
Momentum Analysis: Identify sustained bullish or bearish trends using the Double RSI calculation.
Noise Reduction: Utilize smoothing and advanced MA options to remove market noise.
Reversal Detection: Spot potential trend reversals with threshold-based signals.
Customizable Strategies: Tailor the indicator for scalping, swing trading, or long-term analysis.
The RSI Team Synergy indicator combines precision, flexibility, and intuitive design, making it an essential tool for traders at all levels. With its innovative Double RSI approach and advanced customization options, it provides actionable insights for mastering market trends.
This script is inspired by "Clokivez" . However, it is more advanced and includes additional features and options.
-Jeffrey
Volume Weighted Moving Average (TechnoBlooms)The Volume Weighted Moving Average Oscillator (VWMO) is a custom technical indicator designed to measure market momentum while accounting for volume. It helps traders assess whether price movements are supported by strong or weak trading volumes. The VWMO provides insights into potential trends by comparing current momentum with historical averages.
Indicator Overview:
The VWMO is based on a combination of price and volume data, highlighting the relationship between these two components to generate a clear oscillation value. The oscillator displays dynamic insights into market strength, capturing price directionality and volume alignment.
Key Features:
1. Dynamic Visualization of Momentum:
o The oscillator displays positive and negative momentum by analyzing the relationship between price movements and trading volume over a specified period.
o Positive momentum typically represents a bullish market, while negative momentum reflects bearish conditions.
2. Volume-Weighted Analysis:
o Volume is incorporated to give an adjusted price perspective, where price movements on high-volume days have more influence on the resulting oscillator values.
3. Trend Confirmation via EMA:
o An Exponential Moving Average (EMA) of the oscillator is plotted to smooth the raw oscillator values and provide trend confirmation.
o The EMA is essential for identifying whether the oscillator is in an upward or downward trend. It also serves as a support for evaluating when momentum might reverse.
4. Visual Indicators and Color Coding:
o The indicator uses varying color intensities to differentiate between strong and weak momentum.
o Bullish and bearish momentum is visually reflected by colors, offering at-a-glance guidance on potential trade opportunities.
5. Overbought and Oversold Thresholds:
o Horizontal lines at predefined levels (e.g., +100 and -100) help to define overbought and oversold areas, which assist in identifying overextended price movements that may signal reversals.
6. Scalability & Adaptability:
o The indicator allows for adjustment of the period, EMA length, and other key parameters to tailor its usage according to different asset classes or timeframe preferences.
SuperTrend Oscillator# SuperTrend Oscillator - User Guide
## Chapter 1: Introduction
The SuperTrend Oscillator is a versatile and powerful indicator designed to assist traders in identifying market trends, reversals, and momentum. This indicator leverages complex calculations and smoothing techniques to provide actionable signals. The SuperTrend Oscillator can be used for intraday, swing, and positional trading, making it suitable for various market conditions and trading styles.
## Chapter 2: Calculations Overview
The SuperTrend Oscillator relies on a combination of:
Trend Strength : Calculated using a weighted summation of price deviations over short and long periods.
Bull and Bear Lines : Derived from the typical price and smoothed using EMA to highlight underlying market trends.
Signal Lines : The crossing of trend lines and EMAs identifies potential entry and exit points.
### Key Elements:
- Typical Price : An average of open, high, low, and close prices.
- Lowest Low and Highest High **: Identified over specific periods to normalize the oscillator values.
- Exponential Moving Averages (EMA) : Smoothing techniques to reduce noise and improve trend clarity.
- Threshold Levels : Critical levels (e.g., 25, 75) are used to identify oversold and overbought conditions.
## Chapter 3: Oscillator Visualization
The SuperTrend Oscillator plots two main components:
Bull and Bear Lines : Represent short-term and long-term trends.
EMA Crossovers : Highlight shifts in market momentum.
### Candle Width and Color:
- Yellow Candles : Indicate a bullish phase in the short-term trend.
- Fuchsia Candles : Indicate a bearish phase in the short-term trend.
- Green Candles : Signal an uptrend in the long-term trend.
- Red Candles : Signal a downtrend in the long-term trend.
NB: The width of the oscillator candles reflects the strength of the trend, with wider candles indicating stronger trends.
## Chapter 4: Signal Generation
### Entry Signals:
- ** Fast Buy Signal **: Occurs when:
- The short-term trend transitions from bearish (fuchsia) to bullish (yellow).
- The short-term bull line is below 40.
- The long-term bull line is above 50.
- Accumulation/distribution signals are positive.
- ** Fast Sell Signal **: Occurs when:
- The short-term trend transitions from bullish (yellow) to bearish (fuchsia).
- The short-term bull line is above 60.
- The long-term bull line is below 45.
- Accumulation/distribution signals are negative.
### Exit Signals:
- ** Super Long Exit / Short Entry **: Triggered when:
- Both the short-term and long-term trends indicate overbought conditions (bull line > 75).
- Crossunder between trend and bull lines.
- ** Super Short Exit / Long Entry **: Triggered when:
- Both the short-term and long-term trends indicate oversold conditions (bull line < 25).
- Crossover between trend and bull lines.
## Chapter 5 : Trading Strategies
### Trend Following:
1. ** Identify the Trend **:
- Use the color and slope of the oscillator candles.
- Green and yellow candles indicate an uptrend; red and fuchsia candles indicate a downtrend.
2. ** Enter Trades **:
- Look for fast buy signals in an uptrend and fast sell signals in a downtrend.
3. ** Exit Trades **:
- Use super exit signals to close positions.
### Range Trading:
1. ** Identify Ranges **:
- Monitor bull and bear lines oscillating within 25 to 75.
2. ** Enter Trades **:
- Buy near oversold conditions (bull line < 25).
- Sell near overbought conditions (bull line > 75).
### Divergence Trading:
1. ** Identify Divergence **:
- Compare the oscillator with price action.
2. ** Enter Trades **:
- Buy when the price makes a lower low, but the oscillator makes a higher low.
- Sell when the price makes a higher high, but the oscillator makes a lower high.
## Chapter 6: Alerts
The SuperTrend Oscillator includes built-in alerts for:
1. **Super Long**: When both short-term and long-term entry signals align.
2. **BankEntry Long**: When either short-term or long-term entry signals are triggered.
3. **Super Short**: When both short-term and long-term exit signals align.
4. **BankExit Short**: When either short-term or long-term exit signals are triggered.
### Setting Alerts:
To enable alerts, use the alert messages included in the script. These alerts provide timely notifications for trade entries and exits.
## Chapter 7: How to Use
1. **Add the Indicator**:
- Apply the SuperTrend Oscillator to your chart.
2. **Monitor Signals**:
- Use visual cues (colors and shapes) to identify trade opportunities.
3. **Set Alerts**:
- Configure alerts to receive notifications.
### Example Use Case:
- For intraday trading, set the oscillator to shorter periods for quicker signals.
- For swing trading, use longer periods to reduce noise and capture broader trends.
## Chapter 8: Disclaimer
The SuperTrend Oscillator is a tool to aid trading decisions and does not guarantee profits. Always combine it with risk management and other analysis techniques to ensure a comprehensive trading strategy.
Uptrick: Fisher Eclipse1. Name and Purpose
Uptrick: Fisher Eclipse is a Pine version 6 extension of the basic Fisher Transform indicator that focuses on highlighting potential turning points in price data. Its purpose is to allow traders to spot shifts in momentum, detect divergence, and adapt signals to different market environments. By combining a core Fisher Transform with additional signal processing, divergence detection, and customizable aggressiveness settings, this script aims to help users see when a price move might be losing momentum or gaining strength.
2. Overview
This script uses a Fisher Transform calculation on the average of each bar’s high and low (hl2). The Fisher Transform is designed to amplify price extremes by mapping data into a different scale, making potential reversals more visible than they might be with standard oscillators. Uptrick: Fisher Eclipse takes this concept further by integrating a signal line, divergence detection, bar coloring for momentum intensity, and optional thresholds to reduce unwanted noise.
3. Why Use the Fisher Transform
The Fisher Transform is known for converting relatively smoothed price data into a more pronounced scale. This transformation highlights where markets may be overextended. In many cases, standard oscillators move gently, and traders can miss subtle hints that a reversal might be approaching. The Fisher Transform’s mathematical approach tightens the range of values and sharpens the highs and lows. This behavior can allow traders to see clearer peaks and troughs in momentum. Because it is often quite responsive, it can help anticipate areas where price might change direction, especially when compared to simpler moving averages or traditional oscillators. The result is a more evident signal of possible overbought or oversold conditions.
4. How This Extension Improves on the Basic Fisher Transform
Uptrick: Fisher Eclipse adds multiple features to the classic Fisher framework in order to address different trading styles and market behaviors:
a) Divergence Detection
The script can detect bullish or bearish divergences between price and the oscillator over a chosen lookback period, helping traders anticipate shifts in market direction.
b) Bar Coloring
When momentum exceeds a certain threshold (default 3), bars can be colored to highlight surges of buying or selling pressure. This quick visual reference can assist in spotting periods of heightened activity. After a bar color like this, usually, there is a quick correction as seen in the image below.
c) Signal Aggressiveness Levels
Users can choose between conservative, moderate, or aggressive signal thresholds. This allows them to tune how quickly the indicator flags potential entries or exits. Aggressive settings might suit scalpers who need rapid signals, while conservative settings may benefit swing traders preferring fewer, more robust indications.
d) Minimum Movement Filter
A configurable filter can be set to ensure that the Fisher line and its signal have a sufficient gap before triggering a buy or sell signal. This step is useful for traders seeking to minimize signals during choppy or sideways markets. This can be used to eliminate noise as well.
By combining all these elements into one package, the indicator attempts to offer a comprehensive toolkit for those who appreciate the Fisher Transform’s clarity but also desire more versatility.
5. Core Components
a) Fisher Transform
The script calculates a Fisher value using normalized price over a configurable length, highlighting potential peaks and troughs.
b) Signal Line
The Fisher line is smoothed using a short Simple Moving Average. Crossovers and crossunders are one of the key ways this indicator attempts to confirm momentum shifts.
c) Divergence Logic
The script looks back over a set number of bars to compare current highs and lows of both price and the Fisher oscillator. When price and the oscillator move in opposing directions, a divergence may occur, suggesting a possible upcoming reversal or weakening trend.
d) Thresholds for Overbought and Oversold
Horizontal lines are drawn at user-chosen overbought and oversold levels. These lines help traders see when momentum readings reach particular extremes, which can be especially relevant when combined with crossovers in that region.
e) Intensity Filter and Bar Coloring
If the magnitude of the change in the Fisher Transform meets or exceeds a specified threshold, bars are recolored. This provides a visual cue for significant momentum changes.
6. User Inputs
a) length
Defines how many bars the script looks back to compute the highest high and lowest low for the Fisher Transform. A smaller length reacts more quickly but can be noisier, while a larger length smooths out the indicator at the cost of responsiveness.
b) signal aggressiveness
Adjusts the buy and sell thresholds for conservative, moderate, and aggressive trading styles. This can be key in matching the indicator to personal risk preferences or varying market conditions. Conservative will give you less signals and aggressive will give you more signals.
c) minimum movement filter
Specifies how far apart the Fisher line and its signal line must be before generating a valid crossover signal.
d) divergence lookback
Controls how many bars are examined when determining if price and the oscillator are diverging. A larger setting might generate fewer signals, while a smaller one can provide more frequent alerts.
e) intensity threshold
Determines how large a change in the Fisher value must be for the indicator to recolor bars. Strong momentum surges become more noticeable.
f) overbought level and oversold level
Lets users define where they consider market conditions to be stretched on the upside or downside.
7. Calculation Process
a) Price Input
The script uses the midpoint of each bar’s high and low, sometimes referred to as hl2.
hl2 = (high + low) / 2
b) Range Normalization
Determine the maximum (maxHigh) and minimum (minLow) values over a user-defined lookback period (length).
Scale the hl2 value so it roughly fits between -1 and +1:
value = 2 * ((hl2 - minLow) / (maxHigh - minLow) - 0.5)
This step highlights the bar’s current position relative to its recent highs and lows.
c) Fisher Calculation
Convert the normalized value into the Fisher Transform:
fisher = 0.5 * ln( (1 + value) / (1 - value) ) + 0.5 * fisher_previous
fisher_previous is simply the Fisher value from the previous bar. Averaging half of the new transform with half of the old value smooths the result slightly and can prevent erratic jumps.
ln is the natural logarithm function, which compresses or expands values so that market turns often become more obvious.
d) Signal Smoothing
Once the Fisher value is computed, a short Simple Moving Average (SMA) is applied to produce a signal line. In code form, this often looks like:
signal = sma(fisher, 3)
Crossovers of the fisher line versus the signal line can be used to hint at changes in momentum:
• A crossover occurs when fisher moves from below to above the signal.
• A crossunder occurs when fisher moves from above to below the signal.
e) Threshold Checking
Users typically define oversold and overbought levels (often -1 and +1).
Depending on aggressiveness settings (conservative, moderate, aggressive), these thresholds are slightly shifted to filter out or include more signals.
For example, an oversold threshold of -1 might be used in a moderate setting, whereas -1.5 could be used in a conservative setting to require a deeper dip before triggering.
f) Divergence Checks
The script looks back a specified number of bars (divergenceLookback). For both price and the fisher line, it identifies:
• priceHigh = the highest hl2 within the lookback
• priceLow = the lowest hl2 within the lookback
• fisherHigh = the highest fisher value within the lookback
• fisherLow = the lowest fisher value within the lookback
If price forms a lower low while fisher forms a higher low, it can signal a bullish divergence. Conversely, if price forms a higher high while fisher forms a lower high, a bearish divergence might be indicated.
g) Bar Coloring
The script monitors the absolute change in Fisher values from one bar to the next (sometimes called fisherChange):
fisherChange = abs(fisher - fisher )
If fisherChange exceeds a user-defined intensityThreshold, bars are recolored to highlight a surge of momentum. Aqua might indicate a strong bullish surge, while purple might indicate a strong bearish surge.
This color-coding provides a quick visual cue for traders looking to spot large momentum swings without constantly monitoring indicator values.
8. Signal Generation and Filtering
Buy and sell signals occur when the Fisher line crosses the signal line in regions defined as oversold or overbought. The optional minimum movement filter prevents triggering if Fisher and its signal line are too close, reducing the chance of small, inconsequential price fluctuations creating frequent signals. Divergences that appear in oversold or overbought regions can serve as additional evidence that momentum might soon shift.
9. Visualization on the Chart
Uptrick: Fisher Eclipse plots two lines: the Fisher line in one color and the signal line in a contrasting shade. The chart displays horizontal dashed lines where the overbought and oversold levels lie. When the Fisher Transform experiences a sharp jump or drop above the intensity threshold, the corresponding price bars may change color, signaling that momentum has undergone a noticeable shift. If the indicator detects bullish or bearish divergence, dotted lines are drawn on the oscillator portion to connect the relevant points.
10. Market Adaptability
Because of the different aggressiveness levels and the optional minimum movement filter, Uptrick: Fisher Eclipse can be tailored to multiple trading styles. For instance, a short-term scalper might select a smaller length and more aggressive thresholds, while a swing trader might choose a longer length for smoother readings, along with conservative thresholds to ensure fewer but potentially stronger signals. During strongly trending markets, users might rely more on divergences or large intensity changes, whereas in a range-bound market, oversold or overbought conditions may be more frequent.
11. Risk Management Considerations
Indicators alone do not ensure favorable outcomes, and relying solely on any one signal can be risky. Using a stop-loss or other protections is often suggested, especially in fast-moving or unpredictable markets. Divergence can appear before a market reversal actually starts. Similarly, a Fisher Transform can remain in an overbought or oversold region for extended periods, especially if the trend is strong. Cautious interpretation and confirmation with additional methods or chart analysis can help refine entry and exit decisions.
12. Combining with Other Tools
Traders can potentially strengthen signals from Uptrick: Fisher Eclipse by checking them against other methods. If a moving average cross or a price pattern aligns with a Fisher crossover, the combined evidence might provide more certainty. Volume analysis may confirm whether a shift in market direction has participation from a broad set of traders. Support and resistance zones could reinforce overbought or oversold signals, particularly if price reaches a historical boundary at the same time the oscillator indicates a possible reversal.
13. Parameter Customization and Examples
Some short-term traders run a 15-minute chart, with a shorter length setting, aggressively tight oversold and overbought thresholds, and a smaller divergence lookback. This approach produces more frequent signals, which may appeal to those who enjoy fast-paced trading. More conservative traders might apply the indicator to a daily chart, using a larger length, moderate threshold levels, and a bigger divergence lookback to focus on broader market swings. Results can differ, so it may be helpful to conduct thorough historical testing to see which combination of parameters aligns best with specific goals.
14. Realistic Expectations
While the Fisher Transform can reveal potential turning points, no mathematical tool can predict future price behavior with full certainty. Markets can behave erratically, and a period of strong trending may see the oscillator pinned in an extreme zone without a significant reversal. Divergence signals sometimes appear well before an actual trend change occurs. Recognizing these limitations helps traders manage risk and avoids overreliance on any one aspect of the script’s output.
15. Theoretical Background
The Fisher Transform uses a logarithmic formula to map a normalized input, typically ranging between -1 and +1, into a scale that can fluctuate around values like -3 to +3. Because the transformation exaggerates higher and lower readings, it becomes easier to spot when the market might have stretched too far, too fast. Uptrick: Fisher Eclipse builds on that foundation by adding a series of practical tools that help confirm or refine those signals.
16. Originality and Uniqueness
Uptrick: Fisher Eclipse is not simply a duplicate of the basic Fisher Transform. It enhances the original design in several ways, including built-in divergence detection, bar-color triggers for momentum surges, thresholds for overbought and oversold levels, and customizable signal aggressiveness. By unifying these concepts, the script seeks to reduce noise and highlight meaningful shifts in market direction. It also places greater emphasis on helping traders adapt the indicator to their specific style—whether that involves frequent intraday signals or fewer, more robust alerts over longer timeframes.
17. Summary
Uptrick: Fisher Eclipse is an expanded take on the original Fisher Transform oscillator, including divergence detection, bar coloring based on momentum strength, and flexible signal thresholds. By adjusting parameters like length, aggressiveness, and intensity thresholds, traders can configure the script for day-trading, swing trading, or position trading. The indicator endeavors to highlight where price might be shifting direction, but it should still be combined with robust risk management and other analytical methods. Doing so can lead to a more comprehensive view of market conditions.
18. Disclaimer
No indicator or script can guarantee profitable outcomes in trading. Past performance does not necessarily suggest future results. Uptrick: Fisher Eclipse is provided for educational and informational purposes. Users should apply their own judgment and may want to confirm signals with other tools and methods. Deciding to open or close a position remains a personal choice based on each individual’s circumstances and risk tolerance.
