Aurora Flow Oscillator [QuantAlgo]The Aurora Flow Oscillator is an advanced momentum-based technical indicator designed to identify market direction, momentum shifts, and potential reversal zones using adaptive filtering techniques. It visualizes price momentum through a dynamic oscillator that quantifies trend strength and direction, helping traders and investors recognize momentum shifts and trading opportunities across various timeframes and asset class.
🟢 Technical Foundation
The Aurora Flow Oscillator employs a sophisticated mathematical approach with adaptive momentum filtering to analyze market conditions, including:
Price-Based Momentum Calculation: Calculates logarithmic price changes to measure the rate and magnitude of market movement
Adaptive Momentum Filtering: Applies an advanced filtering algorithm to smooth momentum calculations while preserving important signals
Acceleration Analysis: Incorporates momentum acceleration to identify shifts in market direction before they become obvious
Signal Normalization: Automatically scales the oscillator output to a range between -100 and 100 for consistent interpretation across different market conditions
The indicator processes price data through multiple filtering stages, applying mathematical principles including exponential smoothing with adaptive coefficients. This creates an oscillator that dynamically adjusts to market volatility while maintaining responsiveness to genuine trend changes.
🟢 Key Features & Signals
1. Momentum Flow and Extreme Zone Identification
The oscillator presents market momentum through an intuitive visual display that clearly indicates both direction and strength:
Above Zero: Indicates positive momentum and potential bullish conditions
Below Zero: Indicates negative momentum and potential bearish conditions
Slope Direction: The angle and direction of the oscillator provide immediate insight into momentum strength
Zero Line Crossings: Signal potential trend changes and new directional momentum
The indicator also identifies potential overbought and oversold market conditions through extreme zone markings:
Upper Zone (>50): Indicates strong bullish momentum that may be approaching exhaustion
Lower Zone (<-50): Indicates strong bearish momentum that may be approaching exhaustion
Extreme Boundaries (±95): Mark potentially unsustainable momentum levels where reversals become increasingly likely
These zones are displayed with gradient intensity that increases as the oscillator moves toward extremes, helping traders and investors:
→ Identify potential reversal zones
→ Determine appropriate entry and exit points
→ Gauge overall market sentiment strength
2. Customizable Trading Style Presets
The Aurora Flow Oscillator offers pre-configured settings for different trading approaches:
Default (80,150): Balanced configuration suitable for most trading and investing situations.
Scalping (5,80): Highly responsive settings for ultra-short-term trades. Generates frequent signals and catches quick price movements. Best for 1-15min charts when making many trades per day.
Day Trading (8,120): Optimized for intraday movements with faster response than default settings while maintaining reasonable signal quality. Ideal for 5-60min or 4h-12h timeframes.
Swing Trading (10,200): Designed for multi-day positions with stronger noise filtering. Focuses on capturing larger price swings while avoiding minor fluctuations. Works best on 1-4h and daily charts.
Position Trading (14,250): For longer-term position traders/investors seeking significant market trends. Reduces false signals by heavily filtering market noise. Ideal for daily or even weekly charts.
Trend Following (16,300): Maximum smoothing that prioritizes established directional movements over short-term fluctuations. Best used on daily and weekly charts, but can also be used for lower timeframe trading.
Countertrend (7,100): Tuned to detect potential reversals and exhaustion points in trends. More sensitive to momentum shifts than other presets. Effective on 15min-4h charts, as well as daily and weekly charts.
Each preset automatically adjusts internal parameters for optimal performance in the selected trading context, providing flexibility across different market approaches without requiring complex manual configuration.
🟢 Practical Usage Tips
1/ Trend Analysis and Interpretation
→ Direction Assessment: Evaluate the oscillator's position relative to zero to determine underlying momentum bias
→ Momentum Strength: Measure the oscillator's distance from zero within the -100 to +100 range to quantify momentum magnitude
→ Trend Consistency: Monitor the oscillator's path for sustained directional movement without frequent zero-line crossings
→ Reversal Detection: Watch for oscillator divergence from price and deceleration of movement when approaching extreme zones
2/ Signal Generation Strategies
Depending on your trading approach, multiple signal strategies can be employed:
Trend Following Signals:
Enter long positions when the oscillator crosses above zero
Enter short positions when the oscillator crosses below zero
Add to positions on pullbacks while maintaining the overall trend direction
Countertrend Signals:
Look for potential reversals when the oscillator reaches extreme zones (±95)
Enter contrary positions when momentum shows signs of exhaustion
Use oscillator divergence with price as additional confirmation
Momentum Shift Signals:
Enter positions when oscillator changes direction after establishing a trend
Exit positions when oscillator direction reverses against your position
Scale position size based on oscillator strength percentage
3/ Timeframe Optimization
The indicator can be effectively applied across different timeframes with these considerations:
Lower Timeframes (1-15min):
Use Scalping or Day Trading presets
Focus on quick momentum shifts and zero-line crossings
Be cautious of noise in extreme market conditions
Medium Timeframes (30min-4h):
Use Default or Swing Trading presets
Look for established trends and potential reversal zones
Combine with support/resistance analysis for entry/exit precision
Higher Timeframes (Daily+):
Use Position Trading or Trend Following presets
Focus on major trend identification and long-term positioning
Use extreme zones for position management rather than immediate reversals
🟢 Pro Tips
Price Momentum Period:
→ Lower values (5-7) increase sensitivity to minor price fluctuations but capture more market noise
→ Higher values (10-16) emphasize sustained momentum shifts at the cost of delayed response
→ Adjust based on your timeframe (lower for shorter timeframes, higher for longer timeframes)
Oscillator Filter Period:
→ Lower values (80-120) produce more frequent directional changes and earlier response to momentum shifts
→ Higher values (200-300) filter out shorter-term fluctuations to highlight dominant market cycles
→ Match to your typical holding period (shorter holding time = lower filter values)
Multi-Timeframe Analysis:
→ Compare oscillator readings across different timeframes for confluence
→ Look for alignment between higher and lower timeframe signals
→ Use higher timeframe for trend direction, lower for earlier entries
Volatility-Adaptive Trading:
→ Use oscillator strength to adjust position sizing (stronger = larger)
→ Consider reducing exposure when oscillator reaches extreme zones
→ Implement tighter stops during periods of oscillator acceleration
Combination Strategies:
→ Pair with volume indicators for confirmation of momentum shifts
→ Use with support/resistance levels for strategic entry and exit points
→ Combine with volatility indicators for comprehensive market context
Wyszukaj w skryptach "oscillator"
VWAP Momentum Oscillator How It Works
Core Calculation Method
The oscillator combines four key market measurements into a single, normalized reading:
1. Price-VWAP Deviation: `(Close - VWAP) / VWAP × 100`
2. VWAP-MA Momentum: `(VWAP - MovingAverage) / MovingAverage × 100`
3. Anchored VWAP Strength: Average of high/low anchor deviations from rolling VWAP
4. Range Position: `(Close - PeriodLow) / (PeriodHigh - PeriodLow) × 100 - 50`
Dynamic Signal Line
The signal line uses an EMA that automatically adjusts its length based on your chart timeframe:
- Futures: Always covers 23 hours of trading (1,380 minutes)
- Stocks: Always covers 6.5 hours of trading (390 minutes)
- Examples: 276 periods on 5-min futures chart, 1,380 periods on 1-min futures chart
Trading Signals
🟢 Buy Signals
- Condition: Main oscillator crosses above signal line while below zero
- Logic: Momentum turning bullish from oversold conditions
- Visual: Green "BUY" label below price action
🔴 Sell Signals
- Condition: Main oscillator crosses below signal line while above zero
- Logic: Momentum turning bearish from overbought conditions
- Visual: Red "SELL" label above price action
⚠️ Extreme Warnings
- Extreme Overbought: Red triangle when oscillator crosses above +4.0
- Extreme Oversold: Green triangle when oscillator crosses below -4.0
- Purpose: Risk management alerts, not entry/exit signals
Oscillator Zones
Interpretation Guide
- Above +2.0: Strong bullish momentum zone (green background)
- 0 to +2.0: Mild bullish territory
- 0 to -2.0: Mild bearish territory
- Below -2.0: Strong bearish momentum zone (red background)
- Above +4.0: Extreme overbought (caution advised)
- Below -4.0: Extreme oversold (potential reversal zone)
Customization Options
Moving Average Settings
- EMA/SMA Toggle: Choose between exponential or simple moving average
- Color Customization: Adjust MA line color and width
Visual Controls
- Bullish/Bearish Colors: Customize momentum zone colors
- Signal Line: Toggle visibility and adjust color
- Line Widths: Control thickness of all plot lines
Anchor Modes
- NY Session Only: Anchors reset at NY market open (9:30 AM ET)
- 24H NY Day: Anchors reset at NY calendar day change (midnight ET)
Best Practices
Timeframe Selection
- Scalping: 1-5 minute charts for quick momentum changes
- Day Trading: 5-15 minute charts for clearer trend signals
- Swing Trading: 1-4 hour charts for major momentum shifts
Signal Confirmation
- Wait for crossovers: Don't trade on oscillator position alone
- Respect extreme levels: Exercise caution above +4 or below -4
- Use with price action: Combine with support/resistance levels
Risk Management
- Extreme zones: Reduce position size when oscillator is extended
- Failed signals: Exit quickly if momentum doesn't follow through
- Market context: Consider overall trend direction and market volatility
Technical Specifications
Calculation Components
- Base Length: 1,380 periods (futures) / 390 periods (stocks)
- Signal Line: Dynamic EMA covering one full trading day
- Smoothing: 3-period SMA on raw oscillator (adjustable)
- Update Frequency: Real-time on every price tick
Performance Notes
- Resource Efficient: Optimized calculations minimize CPU usage
- Memory Friendly: Uses incremental VWAP calculations
- Fast Loading: Minimal historical data requirements
Version History & Development
This oscillator evolved from advanced VWAP overlay strategies, transforming complex multi-line analysis into a single, actionable momentum gauge. The indicator maintains the sophistication of institutional VWAP analysis while providing the clarity needed for retail trading decisions.
Core Philosophy
Traditional VWAP indicators show where price is relative to volume-weighted averages, but they don't quantify momentum or provide clear entry/exit signals. This oscillator solves that problem by normalizing all VWAP relationships into a single, bounded indicator that works consistently across all timeframes and asset classes.
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Open Source License: This indicator is provided free for the TradingView community. Feel free to modify and enhance according to your trading needs.
BB Oscillator - Price Relative to Bollinger BandsThis Bollinger Band Oscillator visualizes where the current price sits relative to its Bollinger Bands, scaled between 0 and 100. It helps identify overbought and oversold conditions based on the price’s position within the bands and provides dynamic signals when momentum shifts occur.
Features
Price Relative to Bollinger Bands
The main oscillator plots the price’s relative position within the Bollinger Bands on a scale from 0 (lower band) to 100 (upper band), giving an intuitive view of where price stands.
Customizable Moving Average Overlay
An optional moving average (SMA or EMA) smooths the oscillator for trend analysis, with adjustable length and color options.
Crossover & Crossunder Signals
Alerts and background highlights trigger when the oscillator crosses over or under its moving average, signaling potential momentum shifts or trend changes.
Fully Customizable Colors
Choose your preferred colors for the oscillator line, moving average and crossover signals to match your charting style.
This tool offers a unique oscillator view of Bollinger Bands, combining volatility context with momentum signals for clearer decision-making.
Chaikin Oscillator with EMA and AlertsOverview
This indicator plots the classic Chaikin Oscillator along with an EMA overlay to help identify changes in accumulation or distribution momentum. It includes visual markers and built-in alerts for key crossover events such as crossing the zero line and crossing above or below the Chaikin EMA.
Concepts
The Chaikin Oscillator is calculated as the difference between two EMAs of Accumulation/Distribution (A/D) volume. It is used to measure the momentum behind buying and selling pressure. An EMA is applied to the oscillator itself to smooth out signals and provide an additional layer of trend confirmation. Crossovers above or below zero, and above or below the EMA, are interpreted as potential signals of market sentiment shifts.
How to Use the Indicator
Apply the indicator to any chart and select your preferred short, long, and EMA lengths. The script will plot the Chaikin Oscillator in teal and its EMA in red. Triangles and labels will appear on the chart when the oscillator crosses above or below the zero line, or when it crosses its EMA. Green triangles indicate bullish zero-line crossovers, while red triangles indicate bearish ones. Lime and maroon labels signal EMA crossovers. Use these signals to assess momentum shifts and potential entry or exit points.
Interpretation
When the Chaikin Oscillator is above zero and rising, it suggests strong buying pressure. When it is below zero and falling, it suggests strong selling pressure. A crossover above the EMA may indicate an emerging bullish trend, while a crossover below the EMA may suggest increasing bearish momentum. Using both the zero line and EMA crossover together helps filter noise and improves reliability of momentum-based signals.
Notes
The indicator includes four alert conditions that can be enabled in TradingView to notify you of Chaikin Oscillator crossovers. It works across all asset classes and timeframes. This tool is especially useful for identifying momentum shifts ahead of price moves and for confirming volume-based signals in trend continuation or reversal scenarios. Adjust input lengths to suit your trading style or the volatility of the instrument you are analyzing.
Volume Flow OscillatorVolume Flow Oscillator
Overview
The Volume Flow Oscillator is an advanced technical analysis tool that measures buying and selling pressure by combining price direction with volume. Unlike traditional volume indicators, this oscillator reveals the force behind price movements, helping traders identify strong trends, potential reversals, and divergences between price and volume.
Reading the Indicator
The oscillator displays seven colored bands that fluctuate around a zero line:
Three bands above zero (yellow) indicate increasing levels of buying pressure
Three bands below zero (red) indicate increasing levels of selling pressure
The central band represents the baseline volume flow
Color intensity changes based on whether values are positive or negative
Trading Signals
The Volume Flow Oscillator provides several valuable trading signals:
Zero-line crossovers: When multiple bands cross from negative to positive, potential bullish shift; opposite for bearish
Divergences: When price makes new highs/lows but oscillator bands fail to confirm, signals potential reversal
Volume climax: Extreme readings where outer bands stretch far from zero often precede reversals
Trend confirmation: Strong expansion of bands in direction of price movement confirms genuine momentum
Support/resistance: During trends, bands may remain largely on one side of zero, showing continued directional pressure
Customization
Adjust these key parameters to optimize the oscillator for your trading style:
Lookback Length: Controls overall sensitivity (shorter = more responsive, longer = smoother)
Multipliers: Adjust sensitivity spread between bands for different market conditions
ALMA Settings: Fine-tune how the indicator weights recent versus historical data
VWMA Toggle: Enable for additional smoothing in volatile markets
Best Practices
For optimal results, use this oscillator in conjunction with price action and other confirmation indicators. The multi-band approach helps distinguish between minor fluctuations and significant volume events that might signal important market turns.
Normalized DEMA Oscillator SD| QuantEdgeB📊 Introducing Normalized DEMA Oscillator SD (NDOSD) by QuantEdgeB
🛠️ Overview
Normalized DEMA Oscillator SD (NDOSD) is a powerful trend and momentum indicator that blends DEMA-based smoothing with a standard deviation-based normalization engine. The result is an oscillator that adapts to volatility, filters noise, and highlights both trend continuations and reversal zones with exceptional clarity.
It normalizes price momentum within an adaptive SD envelope, allowing comparisons across assets and market conditions. Whether you're a trend trader or mean-reverter, NDOSD provides the insight needed for smarter decision-making.
✨ Key Features
🔹 DEMA-Powered Momentum Core
Utilizes a Double EMA (DEMA) for smoother trend detection with reduced lag.
🔹 Normalized SD Bands
Price momentum is standardized using a dynamic 2× standard deviation range—enabling consistent interpretation across assets and timeframes.
🔹 Overbought/Oversold Detection
Includes clear OB/OS zones with shaded thresholds to identify potential reversals or trend exhaustion areas.
🔹 Visual Trend Feedback
Color-coded oscillator zones, candle coloring, and optional signal labels help traders immediately see trend direction and strength.
📐 How It Works
1️⃣ DEMA Calculation
The core of NDOSD is a smoothed price line using a Double EMA, designed to reduce false signals in choppy markets.
2️⃣ Normalization with SD
The DEMA is normalized within a volatility range using a 2x SD calculation, producing a bounded oscillator from 0–100. This transforms the raw signal into a structured format, allowing for OB/OS detection and trend entry clarity.
3️⃣ Signal Generation
• ✅ Long Signal → Oscillator crosses above the long threshold (default: 55) and price holds above the lower SD boundary.
• ❌ Short Signal → Oscillator drops below short threshold (default: 45), often within upper SD boundary context.
4️⃣ OB/OS Thresholds
• Overbought Zone: Above 100 → Caution / Consider profit-taking.
• Oversold Zone: Below 0 → Watch for accumulation setups.
⚙️ Custom Settings
• Calculation Source: Default = close
• DEMA Period: Default = 30
• Base SMA Period: Default = 20
• Long Threshold: Default = 55
• Short Threshold: Default = 45
• Color Mode: Choose from Strategy, Solar, Warm, Cool, Classic, or Magic
• Signal Labels Toggle: Show/hide Long/Short markers on chart
👥 Ideal For
✅ Trend Followers – Identify breakout continuation zones using oscillator thrust and SD structure
✅ Swing Traders – Catch mid-trend entries or mean reversion setups at OB/OS extremes
✅ Quant/Systemic Traders – Normalize signals for algorithmic integration across assets
✅ Multi-Timeframe Analysts – Easily compare trend health using standardized oscillator ranges
📌 Conclusion
Normalized DEMA Oscillator SD is a sleek and adaptive momentum toolkit that helps traders distinguish true momentum from false noise. With its fusion of DEMA smoothing and SD normalization, it works equally well in trending and range-bound conditions.
🔹 Key Takeaways:
1️⃣ Smoother momentum tracking using DEMA
2️⃣ Cross-asset consistency via SD-based normalization
3️⃣ Versatile for both trend confirmation and reversal identification
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Let me know if you want a strategy script or publish-ready layout for TradingView next!
Cumulative Force Oscillator with MACDCumulative Force Oscillator with MACD
The Cumulative Force Oscillator with MACD is an advanced technical indicator designed to provide traders with a unique perspective on market momentum and trend strength. By combining the power of cumulative candle force analysis with MACD crossover signals, this indicator offers a multifaceted approach to market analysis.
Key Features
1. Cumulative Force Calculation**: Measures the net force of price movements over a specified number of candles.
2. MACD Integration**: Incorporates MACD crossover signals for additional trend confirmation.
3. Visual Cues**: Utilizes color-coded oscillator lines and background zones for easy interpretation.
4. **Dynamic Labeling**: Displays real-time force values and percentage changes.
How It Works
Cumulative Force Calculation
The indicator calculates the "force" of each candle by subtracting the open price from the close price. It then sums this force over a user-defined number of candles to create a cumulative force value. This value oscillates above and below zero, indicating bullish or bearish pressure respectively.
MACD Crossover Detection
The indicator uses the standard MACD (12, 26, 9) to detect bullish and bearish crossovers. These crossovers are visually represented by colored background zones, providing an additional layer of trend confirmation.
Visual Representation
- The main oscillator line is plotted in green when above zero (bullish) and red when below zero (bearish).
- Background colors change based on MACD crossovers: light blue for bullish crossovers and light orange for bearish crossovers.
- A dynamic label displays the current cumulative force value and its percentage change from the previous period.
Interpretation
1. Oscillator Line : When the line is above zero, it indicates net bullish pressure; below zero suggests net bearish pressure.
2. Oscillator Momentum : The steepness and direction of the oscillator line indicate the strength and direction of the current market force.
3. MACD Crossovers : Blue background zones suggest potential bullish trends, while orange zones indicate potential bearish trends.
4. Divergences : Look for divergences between the oscillator and price action for potential trend reversal signals.
Customization
Users can customize several aspects of the indicator :
- Number of candles for force calculation
- Label offset and text size
- Color schemes (through code modification)
Conclusion
The Cumulative Force Oscillator with MACD is a versatile tool that combines momentum analysis with trend confirmation signals. By providing a visual representation of cumulative market force alongside MACD crossovers, it offers traders a comprehensive view of market dynamics. This indicator can be particularly useful for identifying potential trend reversals, confirming existing trends, and gauging overall market strength.
Mean Trend OscillatorMean Trend Oscillator
The Mean Trend Oscillator offers an original approach to trend analysis by integrating multiple technical indicators, using statistic to get a probable signal, and dynamically adapting to market volatility.
This tool aggregates signals from four popular indicators—Relative Strength Index (RSI), Simple Moving Average (SMA), Exponential Moving Average (EMA), and Relative Moving Average (RMA)—and adjusts thresholds using the Average True Range (ATR). By using this, we can use Statistics to aggregate or take the average of each indicators signal. Mathematically, Taking an average of these indicators gives us a better probability on entering a trending state.
By consolidating these distinct perspectives, the Mean Trend Oscillator provides a comprehensive view of market direction, helping traders make informed decisions based on a broad, data-driven trend assessment. Traders can use this indicator to enter long spot or leveraged positions. The Mean Trend Oscillator is intended to be use in long term trending markets. Scalping MUST NOT be used with this indicator. (This indicator will give false signals when the Timeframe is too low. The best intended use for high-quality signals are longer timeframes).
The current price of a beginning trend series may tell us something about the next move. Thus, the Mean Trend Oscillator allows us to spot a high probability trending market and potentially exploit this information enter long or shorts strategy. (again, this indicator will give false signals when the Timeframe is too low. The best intended use for high-quality signals are longer timeframes).
Concept and Calculation and Inputs
The Mean Trend Oscillator calculates a “net trend” score as follows:
RSI evaluates market momentum, identifying overbought and oversold conditions, essential for confirming trend direction.
SMA, EMA, and RMA introduce varied smoothing methods to capture short- to medium-term trends, balancing quick price changes with smoothed averages.
ATR-Enhanced Thresholds: ATR is used as a dynamic multiplier, adjusting each indicator’s thresholds to current volatility levels, which helps reduce noise in low-volatility conditions and emphasizes significant signals when volatility spikes.
Length could be used to adjust how quickly each indicator can more or how slower each indicator can be.
Time Coherency for Inputs: Each indicator must be calculated where each signal is relatively around the same area.
For example:
Simply:
SMA, RMA, EMA, and RSI enters long around each intended trend period. Doesn't have to be perfect, but the indicators all enter long around there.
Each indicator contributes a score (+1 for bullish and -1 for bearish), and these scores are averaged to generate the final trend score:
A positive score, shown as a green line, suggests bullish conditions.
A negative score, indicated by a red line, signifies bearish conditions.
Thus, giving us a signal to long or short.
How to Use the Mean Trend Oscillator
This indicator’s output is straightforward and can fit into various trading strategies:
Bullish Signal: A green line shows that the trend is bullish, based on a positive average score across the indicators, signaling a consideration of longing an asset.
Bearish Signal: A red line indicates bearish conditions, with an overall negative trend score, signaling a consideration to shorting an asset.
By aggregating these indicators, the Mean Trend Oscillator helps traders identify strong trends while filtering out minor fluctuations, making it a versatile tool for both short- and long-term analysis. This multi-layered, adaptive approach to trend detection sets it apart from traditional single-indicator trend tools.
Adaptive SuperTrend Oscillator [AlgoAlpha]Adaptive SuperTrend Oscillator 🤖📈
Introducing the Adaptive SuperTrend Oscillator , an innovative blend of volatility clustering and SuperTrend logic designed to identify market trends with precision! 🚀 This indicator uses K-Means clustering to dynamically adjust volatility levels, helping traders spot bullish and bearish trends. The oscillator smoothly tracks price movements, adapting to market conditions for reliable signals. Whether you're scalping or riding long-term trends, this tool has got you covered! 💹✨
🔑 Key Features:
📊 Volatility Clustering with K-Means: Segments volatility into three levels (high, medium, low) using a K-Means algorithm for precise trend detection.
📈 Normalized Oscillator : Allows for customizable smoothing and normalization, ensuring the oscillator remains within a fixed range for easy interpretation.
🔄 Heiken Ashi Candles : Optionally visualize smoothed trends with Heiken Ashi-style candlesticks to better capture market momentum.
🔔 Alert System : Get notified when key conditions like trend shifts or volatility changes occur.
🎨 Customizable Appearance : Fully customizable colors for bullish/bearish signals, along with adjustable smoothing methods and lengths.
📚 How to Use:
⭐ Add the indicator to favorites by pressing the star icon. Customize settings to your preference:
👀 Watch the chart for trend signals and reversals. The oscillator will change color when trends shift, offering visual confirmation.
🔔 Enable alerts to be notified of critical trend changes or volatility conditions
⚙️ How It Works:
This script integrates SuperTrend with volatility clustering by analyzing ATR (Average True Range) to dynamically identify high, medium, and low volatility clusters using a K-Means algorithm . The SuperTrend logic adjusts based on the assigned volatility level, creating adaptive trend signals. These signals are then smoothed and optionally normalized for clearer visual interpretation. The Heiken Ashi transformation adds an additional layer of smoothing, helping traders better identify the market's true momentum. Alerts are set to notify users of key trend shifts and volatility changes, allowing traders to react promptly.
Uptrick: Dual Moving Average Volume Oscillator
Title: Uptrick: Dual Moving Average Volume Oscillator (DPVO)
### Overview
The "Uptrick: Dual Moving Average Volume Oscillator" (DPVO) is an advanced trading tool designed to enhance market analysis by integrating volume data with price action. This indicator is specially developed to provide traders with deeper insights into market dynamics, making it easier to spot potential entry and exit points based on volume and price interactions. The DPVO stands out by offering a sophisticated approach to traditional volume analysis, setting it apart from typical volume indicators available on the TradingView platform.
### Unique Features
Unlike traditional indicators that analyze volume and price movements separately, the DPVO combines these two critical elements to offer a comprehensive view of market behavior. By calculating the Volume Impact, which involves the product of the exponential moving averages (EMAs) of volume and the price range (close - open), this indicator highlights significant trading activities that could indicate strong buying or selling pressure. This method allows traders to see not just the volume spikes, but how those spikes relate to price movements, providing a clearer picture of market sentiment.
### Customization and Inputs
The DPVO is highly customizable, catering to various trading styles and strategies:
- **Oscillator Length (`oscLength`)**: Adjusts the period over which the volume and price difference is analyzed, allowing traders to set it according to their trading timeframe.
- **Fast and Slow Moving Averages (`fastMA` and `slowMA`)**: These parameters control the responsiveness of the DPVO. A shorter `fastMA` coupled with a longer `slowMA` can help in identifying trends quicker or smoothing out market noise for more conservative approaches.
- **Signal Smoothing (`signalSmooth`)**: This input helps in reducing signal noise, making the crossover and crossunder points between the DVO and its smoothed signal line clearer and easier to interpret.
### Functionality Details
The DPVO operates through a sequence of calculated steps that integrate volume data with price movement:
1. **Volume Impact Calculation**: This is the foundational step where the product of the EMA of volume and the EMA of price range (close - open) is calculated. This metric highlights trading sessions where significant volume accompanies substantial price movements, suggesting a strong market response.
2. **Dynamic Volume Oscillator (DVO)**: The heart of the indicator, the DVO, is derived by calculating the difference between the fast EMA and the slow EMA of the Volume Impact. This result is then normalized by dividing by the EMA of the volume over the same period to scale the output, making it consistent across various trading environments.
3. **Signal Generation**: The final output is smoothed using a simple moving average of the DVO to filter out market noise. Buy and sell signals are generated based on the crossover and crossunder of the DVO with its smoothed version, providing clear cues for market entry or exit.
### Originality
The DPVO's originality lies in its innovative integration of volume and price movement, a novel approach not typically observed in other volume indicators. By analyzing the product of volume and price change EMAs, the DPVO captures the essence of market dynamics more holistically than traditional tools, which often only reflect volume levels without contextualizing them with price actions. This dual analysis provides traders with a deeper understanding of market forces, enabling them to make more informed decisions based on a combination of volume surges and significant price movements. The DPVO also introduces a unique normalization and smoothing technique that refines the oscillator's output, offering cleaner and more reliable signals that are adaptable to various market conditions and trading styles.
### Practical Application
The DPVO excels in environments where volume plays a crucial role in validating price movements. Traders can utilize the buy and sell signals generated by the DPVO to enhance their decision-making process. The signals are plotted directly on the trading chart, with buy signals appearing below the price bars and sell signals above, ensuring they are prominent and actionable. This setup is particularly useful for day traders and swing traders who rely on timely and accurate signals to maximize their trading opportunities.
### Best Practices
To maximize the effectiveness of the DPVO, traders should consider the following best practices:
- **Market Selection**: Use the DPVO in markets known for strong volume-price correlation such as major forex pairs, popular stocks, and cryptocurrencies.
- **Signal Confirmation**: While the DPVO provides powerful signals, confirming these signals with additional indicators such as RSI or MACD can increase trade reliability.
- **Risk Management**: Always use stop-loss orders to manage risks associated with trading signals. Adjust the position size based on the volatility of the asset to avoid significant losses.
### Practical Example + How to use it
Practical Example1: Day Trading Cryptocurrencies
For a day trader focusing on the highly volatile cryptocurrency market, the DPVO can be an effective tool on a 15-minute chart. Suppose a trader is monitoring Bitcoin (BTC) during a period of high market activity. The DPVO might show an upward crossover of the DVO above its smoothed signal line while also indicating a significant increase in volume. This could signal that strong buying pressure is entering the market, suggesting a potential short-term rally. The trader could enter a long position based on this signal, setting a stop-loss just below the recent support level to manage risk. If the DPVO later shows a crossover in the opposite direction with decreasing volume, it might signal a good exit point, allowing the trader to lock in profits before a potential pullback.
- **Swing Trading Stocks**: For a swing trader looking at stocks, the DPVO could be applied on a daily chart. If the oscillator shows a consistent downward trend along with increasing volume, this could suggest a potential sell-off, providing a sell signal before a significant downturn.
You can look for:
--> Increase in volume - You can use indicators like 24-hour-Volume to have a better visualization
--> Uptrend/Downtrend in the indicator (HH, HL, LL, LH)
--> Confirmation (Buy signal/Sell signal)
--> Correct Price action (Not too steep moves up or down. Stable moves.) (Optional)
--> Confirmation with other indicators (Optional)
Quick image showing you an example of a buy signal on SOLANA:
### Technical Notes
- **Calculation Efficiency**: The DPVO utilizes exponential moving averages (EMAs) in its calculations, which provides a balance between responsiveness and smoothing. EMAs are favored over simple moving averages in this context because they give more weight to recent data, making the indicator more sensitive to recent market changes.
- **Normalization**: The normalization of the DVO by the EMA of the volume ensures that the oscillator remains consistent across different assets and timeframes. This means the indicator can be used on a wide variety of markets without needing significant adjustments, making it a versatile tool for traders.
- **Signal Line Smoothing**: The final signal line is smoothed using a simple moving average (SMA) to reduce noise. The choice of SMA for smoothing, as opposed to EMA, is intentional to provide a more stable signal that is less prone to frequent whipsaws, which can occur in highly volatile markets.
- **Lag and Sensitivity**: Like all moving average-based indicators, the DPVO may introduce a slight lag in signal generation. However, this is offset by the indicator’s ability to filter out market noise, making it a reliable tool for identifying genuine trends and reversals. Adjusting the `fastMA`, `slowMA`, and `signalSmooth` inputs allows traders to fine-tune the sensitivity of the DPVO to match their specific trading strategy and market conditions.
- **Platform Compatibility**: The DPVO is written in Pine Script™ v5, ensuring compatibility with the latest features and functionalities offered by TradingView. This version takes advantage of optimized functions for performance and accuracy in calculations, making it well-suited for real-time analysis.
Conclusion
The "Uptrick: Dual Moving Average Volume Oscillator" is a revolutionary tool that merges volume analysis with price movement to offer traders a more nuanced understanding of market trends and reversals. Its ability to provide clear, actionable signals based on a unique combination of volume and price changes makes it an invaluable addition to any trader's toolkit. Whether you are managing long-term positions or looking for quick trades, the DPVO provides insights that can help refine any trading strategy, making it a standout choice in the crowded field of technical indicators.
Nothing from this indicator or any other Uptrick Indicators is financial advice. Only you are ultimately responsible for your choices.
ATR Oscillator with DotsThe ATR Oscillator with Dots utilizes the Average True Range (ATR), a traditional measure that captures the extent of an asset's price movements within a given timeframe. Rather than depicting these values in a continuous line, the ATR Oscillator represents them as discrete dots, colored according to the price movement direction: green for upward movements when the current close is higher than the previous, and red for downward movements when the current close is lower.
In terms of functionality, the key feature of this oscillator is how it visualizes volatility through the spacing of the dots. During periods of high market volatility, the shifts between red and green dots tend to occur more frequently and with greater disparity in their positioning along the oscillator’s axis. This indicates sharp price changes and high trading activity. Conversely, periods of market consolidation are characterized by fewer color changes and a more clustered arrangement of dots, reflecting less price movement and lower volatility.
Traders can leverage the insights from the ATR Oscillator with Dots to better understand the market's behavior. For instance, a tight clustering of dots around the zero line suggests a consolidation phase, where the price is relatively stable and may be preparing for a breakout. On the other hand, widely spaced dots alternating between red and green signify strong price movements, offering opportunities for traders to capitalize on trends or prepare for potential reversals.
Imagine a scenario where a trader is monitoring a currency pair in a fluctuating forex market. An observed increase in the frequency and gap of alternating red and green dots would suggest a rise in volatility, possibly triggered by economic news or events. This could be an optimal time for the trader to seek entry or exit points, aligning their strategy with the increased activity. Conversely, a reduction in the frequency and gap of dot changes could signal an impending consolidation phase, prompting the trader to adopt a more cautious approach or explore range-bound trading strategies.
Therefore, the ATR Oscillator with Dots not only simplifies the interpretation of volatility and price momentum through visual cues but also enriches the trader’s strategy by highlighting periods of high activity and consolidation. This tool can be crucial for making informed decisions, particularly in fast-moving or uncertain market conditions, and can be effectively paired with other indicators to confirm trends and refine trading tactics.
Kalman Filtered RSI Oscillator [BackQuant]Kalman Filtered RSI Oscillator
The Kalman Filtered RSI Oscillator is BackQuants new free indicator designed for traders seeking an advanced, empirical approach to trend detection and momentum analysis. By integrating the robustness of a Kalman filter with the adaptability of the Relative Strength Index (RSI), this tool offers a sophisticated method to capture market dynamics. This indicator is crafted to provide a clearer, more responsive insight into price trends and momentum shifts, enabling traders to make informed decisions in fast-moving markets.
Core Principles
Kalman Filter Dynamics:
At its core, the Kalman Filtered RSI Oscillator leverages the Kalman filter, renowned for its efficiency in predicting the state of linear dynamic systems amidst uncertainties. By applying it to the RSI calculation, the tool adeptly filters out market noise, offering a smoothed price source that forms the basis for more accurate momentum analysis. The inclusion of customizable parameters like process noise, measurement noise, and filter order allows traders to fine-tune the filter’s sensitivity to market changes, making it a versatile tool for various trading environments.
RSI Adaptation:
The RSI is a widely used momentum oscillator that measures the speed and change of price movements. By integrating the RSI with the Kalman filter, the oscillator not only identifies the prevailing trend but also provides a smoothed representation of momentum. This synergy enhances the indicator's ability to signal potential reversals and trend continuations with a higher degree of reliability.
Advanced Smoothing Techniques:
The indicator further offers an optional smoothing feature for the RSI, employing a selection of moving averages (HMA, THMA, EHMA, SMA, EMA, WMA, TEMA, VWMA) for traders seeking to reduce volatility and refine signal clarity. This advanced smoothing mechanism is pivotal for traders looking to mitigate the effects of short-term price fluctuations on the RSI's accuracy.
Empirical Significance:
Empirically, the Kalman Filtered RSI Oscillator stands out for its dynamic adjustment to market conditions. Unlike static indicators, the Kalman filter continuously updates its estimates based on incoming price data, making it inherently more responsive to new market information. This dynamic adaptation, combined with the RSI's momentum analysis, offers a powerful approach to understanding market trends and momentum with a depth not available in traditional indicators.
Trend Identification and Momentum Analysis:
Traders can use the Kalman Filtered RSI Oscillator to identify strong trends and momentum shifts. The color-coded RSI columns provide immediate visual cues on the market's direction and strength, aiding in quick decision-making.
Optimal for Various Market Conditions:
The flexibility in tuning the Kalman filter parameters makes this indicator suitable for a wide range of assets and market conditions, from volatile to stable markets. Traders can adjust the settings based on empirical testing to find the optimal configuration for their trading strategy.
Complementary to Other Analytical Tools:
While powerful on its own, the Kalman Filtered RSI Oscillator is best used in conjunction with other analytical tools and indicators. Combining it with volume analysis, price action patterns, or other trend-following indicators can provide a comprehensive view of the market, allowing for more nuanced and informed trading decisions.
The Kalman Filtered RSI Oscillator is a groundbreaking tool that marries empirical precision with advanced trend analysis techniques. Its innovative use of the Kalman filter to enhance the RSI's performance offers traders an unparalleled ability to navigate the complexities of modern financial markets. Whether you're a novice looking to refine your trading approach or a seasoned professional seeking advanced analytical tools, the Kalman Filtered RSI Oscillator represents a significant step forward in technical analysis capabilities.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Supertrend Volume OscillatorThe Supertrend Volume Oscillator is an innovative tool that integrates volume analysis with the established Supertrend indicator to offer a unique perspective on market conditions. By comparing directional volume against the aggregate volume over a designated lookback period, this oscillator adeptly signals overbought and oversold states through a volume-weighted methodology. Key settings such as the lookback period, Supertrend factor, and ATR period are adjustable, allowing traders to tailor the trend detection sensitivity to their preference.
Crucially, the oscillator delineates overbought and oversold zones via a channel parameter, with its value represented as a percentage ratio of directional to total volume, visually enhanced by a color gradient shifting from red to green based on oscillator readings. Background coloring further highlights market extremes for easy identification. A continuous line tracks the oscillator's value, anchored by a horizontal zero line as a neutral benchmark.
Additionally, the oscillator is equipped with alert conditions that notify traders when entering critical zones, facilitating informed trading decisions. This fusion of price trend analysis with volume metrics provides traders with a comprehensive tool for gauging market sentiment and trend strength, making the Supertrend Volume Oscillator a valuable addition to any trader's arsenal.
RSI-Volume Oscillator Quick Scalping By Akhilesh PatelTitle: RSI-Volume Oscillator Quick Scalping Indicator
Description:
The "RSI-Volume Oscillator Quick Scalping" is a powerful and versatile custom indicator designed for traders who engage in scalping strategies. This indicator combines the Relative Strength Index (RSI) with a Volume Oscillator to provide valuable insights into momentum and volume dynamics in the market. Traders can also select their preferred moving average types (SMA, EMA, or HMA) to further customize the indicator's behavior.
Key Features:
RSI and Volume Oscillator Fusion: The indicator blends the RSI and a custom Volume Oscillator to offer a comprehensive view of both price momentum and volume trends. This integration provides valuable signals for quick scalping opportunities.
Customizable Moving Averages: Traders can choose from three popular moving average types (SMA, EMA, or HMA) for further customization. This flexibility allows users to align the indicator with their preferred trading strategies.
Clear Visualization: The Combined RSI-Volume Oscillator is plotted as a solid blue line, while the three selected moving averages are represented by orange, purple, and green lines, respectively. The zero line, overbought, and oversold levels for RSI are also indicated for easy reference.
Quick Scalping Signals: The indicator helps traders spot potential buy and sell signals efficiently, making it ideal for quick scalping strategies in rapidly moving markets.
Usage Instructions:
Customize the indicator by selecting your preferred RSI length, Volume Oscillator length, and moving average type (SMA, EMA, or HMA).
Observe the Combined RSI-Volume Oscillator and moving averages for potential entry and exit points.
Look for crossovers between the Combined RSI-Volume Oscillator and the selected moving averages for buy and sell signals.
The overbought (70) and oversold (30) levels for RSI can be used to identify potential reversal points.
Important Note:
Test the indicator on historical data and demo accounts before using it in live trading to ensure it aligns with your trading strategy.
Understand that no indicator guarantees profits, and trading involves risk. Always use proper risk management and discipline when executing trades.
Overall, the "RSI-Volume Oscillator Quick Scalping" indicator is a valuable addition to any scalper's toolkit, providing comprehensive insights into momentum and volume dynamics to enhance trading decisions. Happy scalping!
TASC 2023.06 Stochastic Distance Oscillator█ OVERVIEW
This script implements the stochastic distance oscillator (SDO) , a momentum indicator introduced by Vitali Apirine in an article featured in TASC's June 2023 edition of Traders' Tips . The SDO is a variation of the classic stochastic oscillator and is designed to identify overbought and oversold levels, as well as detect bull and bear trend changes.
█ CONCEPTS
Unlike the classic stochastic oscillator, which compares an asset's price to its past price range, the SDO measures the size of the current distance relative to the maximum-minimum distance range over a set number of periods. The current distance is defined as the distance between the current price and the price n periods ago.
The readings of the SDO can be used to identify the following states of the asset price:
Uptrend state: the oscillator crosses over 50 from a non-uptrend state.
Downtrend state: the oscillator crosses under -50 from a non-downtrend state.
Overbought state: the oscillator is in an uptrend and crosses -50 for the first time.
Oversold state: the oscillator is in a downtrend and crosses 50 for the first time.
Trend continuity: the oscillator crosses 0 in the direction of the current trend.
The script indicates these five conditions using on-chart signals and background coloring.
█ CALCULATIONS
The SDO is calculated as follows:
1. Calculate the distance between the current price and the price n periods ago, as well as the maximum and minimum distances for the selected lookback period. The author recommends using one of two values of n , 14 or 40 bars.
2. Calculate the time series % D that represents the relation between the asset's current distance and its distance range over a loockback period:
% D = (Abs(current distance) − Abs(minimum distance)) / (Abs(maximum distance) − Abs(minimum distance)) * 100
3. Use the calculated % D to obtain the SDO:
If the closing price is above the close n periods ago, SDO = % D
If the closing price is below the close n periods ago, SDO = −% D
If the closing price equals the close n periods ago or the current distance equals the minimum distance, SDO = 0
4. Smooth the SDO using an exponential moving average (EMA). The author recommends using an EMA in the range from 3 to 6 .
Adjustable input parameters include the number of periods n , the lookback period for calculating % D , the smoothing EMA length, and the overbought/oversold threshold level.
Consumption OscillatorOVERVIEW
The Consumption Oscillator combines Core Consumer Price Index (USCCPI) and Personal Consumption Expenditure (USPCEPI). It can be a useful tool for understanding inflationary and deflationary pressure in the economy.
CONCEPTS
Defining some thresholds may aid in interpreting the oscillator but interpretation needs context. Also, the thresholds may need adjusting. Overall, using this oscillator in combination with other economic indicators may provide some insights into macroeconomic conditions.
Strong positive signal: If the oscillator rises above a threshold value of +2, it may be considered a strong positive signal. This could suggest that the CCPI is growing faster than the PCE, indicating stronger inflationary pressure and potentially higher levels of economic growth.
Weak positive signal: If the oscillator rises above a threshold value of +1, it may be considered a weak positive signal. This could suggest that the CCPI is growing slightly faster than the PCE, which may still indicate some level of inflationary pressure and moderate economic growth.
No signal: If the oscillator is between -1 and +1, it may be considered a neutral signal. This indicates that the CCPI and PCE are growing at roughly the same rate, and there may be no significant inflationary or deflationary pressure in the economy.
Weak negative signal: If the oscillator falls below a threshold value of -1, it may be considered a weak negative signal. This could suggest that the PCE is growing slightly faster than the CCPI, which may indicate some level of deflationary pressure and slower economic growth.
Strong negative signal: If the oscillator falls below a threshold value of -2, it may be considered a strong negative signal. This could suggest that the PCE is growing much faster than the CCPI, indicating stronger deflationary pressure and potentially lower levels of economic growth
Distance Oscillator - Support and Resistance by DGT
Prices high above the Moving Average (MA) or low below it are likely to be remedied in the future by a reverse price movement as stated in the article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management
This study is the third variant that aims to present this idea, and the output of the study is presented as lines that serve as possible support and resistance levels in the future.
1st variant of the idea is presented as an centered oscillator, link to Price Distance to its MA Study , within its description you may find more about the idea and some statistical observations. Also some derivatives with MACD-X, More Than MACD and P-MACD
2nd variant of the idea are presented as colored triangle line (Volatility Colored Price/MA Line), using the same calculation methods and presented in the bottom of price chart.
Link to studies where it is included : Colored Directional Movement and Bollinger Band's Cloud , SuperTrendRange and Pivot Points vX
3rd variant (this study) as stated earlier aims to present the same idea as support and resistance levels.
Options
The users can adjust source and length of the moving average that is used as base for the distance oscillator
Signal triggering options includes length for the deviation bands, multiplier as well as smoothing of the oscillator
Line customization settings
Additionally an alert can be configured to be warned earlier to watch out for probable pullbacks or reversals
Technical details for whom interested
Calculating the price distance to the MA results in a centered oscillator lets call it Distance Oscillator (quite similar to the RSI), as shown in the blow chart
Unlike RSI, oscillations with the distance oscillator are not limited within a specific range, hence identifying overbought and oversold is not as straight forward as it is with RSI. To determine overbought and oversold levels, standard deviation of distance oscillator is calculated and bands generated with the same approach applied with Bollinger Bands.
Once we have the threshold bands then crossing those bands we may assume as important levels and draw a line, if oscillator values keeps above the threshold bands (deviation bands) the logic behind the code will update the line drawing accordingly.
To reduce noise a smoothing can be applied
Alerts :
Please note that the implementation applied here can be applied to any oscillator such as RSI, Stochastic, MFI etc even Volume (if bear candle volumes are multiplied by -1)
Disclaimer :
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Chart OscillatorI present you the chart oscillator where an oscillator (Stoch or RSI) is plotted
on the chart itself (instead of below the chart)
It is inspired on an idea of @Kablamicus
Instead of having the lines between 0 and 100, here the '0-100' are
- lowest(low, len)
- highest(high, len)
An overbought/oversold and a middle line is derived from these lines
and the oscillator goes in between.
It resembles very much the 'normal' oscillator, with a few extra's:
- you can see the movement of the candles against the oscillator
- S/R levels of oscillator, 50 line, overbought/oversold line, 0-100 line
Stoch:
RSI:
Also a table is included with the Stoch/RSI values
Cheers!
[SK] Custom Klinger OscillatorThis Custom Klinger Oscillator allows you to change the time frames for the Force Volume and Signal calculations to use instead of it's default values. Although the default Fibonacci values ( 34, 55 and 13 ) provide exceptional signals, you can now explore using lower Fibonacci numbers and get faster signals for your own adventures in the market.
This indicator adds conditional coloring of the Klinger line when over / under the signal along with a transparent fill cloud between both lines colored by the same condition. You can change colors to your preference on the style configurations.
--
Below is more information on the KIinger Oscillator from investopedia:
Interpretations for Price Direction
The Klinger Oscillator is fairly complex to calculate, but it's based on the idea of force volume, which accounts for volume, trend (positive or negative), and temp (based on multiple inputs and if/then statements). Using this data, the oscillator is created by looking at the difference between two exponential moving averages of force volume involving different time frames (typically 34 and 55). The idea is to show how the volume flowing through the securities is impacting its long-term and short-term price direction.
The Signal Line
A signal line (13-period moving average) is used to trigger buy or sell signals. This technique is very similar to signals that are created with other indicators such as the moving average convergence divergence (MACD). While these are the basic signals generated by these indicators, it's important to note that these techniques may generate a lot of trading signals that may not be as effective in sideways markets.
The Uptrend
When an asset is in an overall uptrend—such as when it is above its 100-period moving average and the Klinger is above zero or moving above zero—traders could buy when the Klinger oscillator moves above the signal line from below.
Klinger noted that when a stock was in an uptrend, and then dropped to unusually low levels below zero, and then moved above its signal line, this was a favorable long position to take.
The Downtrend
When an asset is in an overall downtrend, traders could sell or short-sell when the Klinger oscillator moves below the signal line from above. Klinger noted this was especially noteworthy when the indicator had seen an uncharacteristic spike above zero.
The zero line is also used by some traders to mark the transition from an uptrend to downtrend, or vice versa. While such signals won't always agree with price movements, a move above zero helps confirm a rising price, while a drop below zero helps confirm a falling price.
Klinger Oscillator and Divergence
The Klinger oscillator also uses divergence to identify when the indicator's inputs are not confirming the direction of the price move. It's a bullish sign when the value of the indicator is heading upward while the price of the security continues to fall. It is a bearish signal when the price is rising but the indicator is falling. Divergence can be coupled with signal line crossovers to generate trades. For example, if a bearish divergence forms, a sell or short-sell could be initiated the next time the Klinger crosses below the signal line.
[blackcat] L2 Ehlers Decycler OscillatorLevel: 2
Background
John F. Ehlers introuced Decycler Oscillator in Sep, 2015.
Function
In “Decyclers” in Sep, 2015, John Ehlers described a method for constructing an oscillator that could help traders detect trend reversals with almost no lag, an oscillator that signals trend reversals with almost zero lag via digital signal processing techniques. A high-pass filter is subtracted from the input data and the high-frequency components are removed via cancellation of terms. Lower-frequency components are filtered from the output, so they are not canceled from the original data. Thus, the decycler displays them with close to zero lag. The fast line has a period of 100 a K value of 1.2 and the slow line has a period of 125 and a K value of 1.
This script demonstrates the timely response of the decycler oscillator to market action. It applies the idea of using a decycler oscillator pair with different parameters, as discussed in Ehlers’ article:
1. Enter long when the fast line crosses over the slow line;
2. Exit long when the fast line crosses under the slow line.
Key Signal
Fast_Val --> Ehlers Decycler Oscillator fast line
Slow_Val --> Ehlers Decycler Oscillator slow line
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 85th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Directional Movement Oscillator (DMI)The DMI Oscillator is a technical indicator which uses values of DMI in order to predict miscellaneous sides of market behavior.
Two components of DMI are used in calculation: DI+ and DI-; the DMI oscillator calculates the difference between these components and represents it as both a line and a histogram.
According to the rules described by Barbara Star in her article "The DMI Stochastic", the following market conditions can be predicted:
When the oscillator is positive and decreasing, a consolidation or pullback might take place. When price is in uptrend and the oscillator is positive but makes lower highs, a bearish divergence might be identified.
Conversely, when price is in downtrend and the oscillator is negative but keeps moving up, a bullish divergence might take place.
Trend continuation might be identified when the oscillator moves to the zero line and then rebounds from it.
In quiet markets, oscillator values fluctuating near the zero line (approx. -10 to +10 range) might signify sideways or rangebound price action.
M-OscillatorM-Oscillator developed By Mohamed Fawzy, MFTA, CFTe
as Written in IFTA Journal 2018 Edition
more info : ifta.org
Interpretation
• M-Oscillator is a bounded oscillator that moves between (-14) and (+14),
• Movement above 10 is considered overbought, and movement below -10 is oversold.
Overbought/Oversold rule:
• Buy when the M-Oscillator violates the (-10) level to the downside and crosses back to the upside.
• Sell when the M-Oscillator crosses above the (+10) level and crosses back to the downside.
Crossover on Extreme Levels
• Sell signals are triggered when the M-Oscillator crosses its signal line above (13), which indicates an extreme market condition
• Buy signals are triggered when the M-Oscillator crosses its signal line below (- 13)
(JS) Tip-and-Dip Oscillator 2.0I am going to start taking requests to open source my indicators and this is the first one I decided to do. They will also be updated to Version 4 of Pinescript.
I went through and added notes on what each area of the code is, and in this particular case I added color schemes as a way to improve upon the original code.
Link to original:
Original Description:
"Let me start by saying I know that the name is goofy lol
This is an oscillator that that looks at price action vs. standard deviation in order to illustrate the trend. This thing looks like an Awesome Oscillator but the math behind this and the Awesome Oscillator are totally different (which is pretty interesting, given they look a lot alike). I included the Awesome Oscillator on the chart here so you can look at them and see where they are different.
So the Tip-and Dip Oscillator is meant to help you pinpoint tops and bottoms. I even added arrows where the top and bottom signals are given.
The oscillator itself has 3 colors, an up, down, and neutral color that come as green, red, and yellow. Since the readings given by the oscillator can greatly vary depending on the chart resolution, I included an option to edit the range to fit your chart.
Also - I have 4 different smoothing options that you can use depending on what your preference is. The default setting is the most sensitive so it will identify tops and bottoms more frequently, but it is the most accurate when pinpointing the correct reversal candle. As you smooth it out, the arrows will appear less, but my be slightly delayed and give a later reading. I personally prefer the default, but going up to the second setting in smoothing works nicely as well.
Enjoy!"
