Weis Wave Candle█Overview
The Weis Wave Candle indicator is a technical tool designed for the TradingView platform, enabling traders to analyze market dynamics by identifying price waves. The indicator relies solely on candlestick data, making it functional on markets where volume data is unavailable. It employs two trend detection methods, dynamic color gradients, trend change alerts, and clear visualization to assist in identifying trend strength and potential reversal points.
█Concept
The Weis Wave Candle indicator was developed to overcome limitations associated with the lack of volume data in certain markets, offering an alternative to traditional volume-based indicators like Weis Wave. Instead of volume, it measures candle size (body or body plus half the candle range) and accumulates it within a price wave. The indicator includes two trend calculation methods:
-LazyBear Style: Based on the popular Weis Wave adaptation by LazyBear, likely the most recognized version of this tool, it uses closing price comparisons and trend confirmation via trend functions. Results may differ from the original Weis Wave, as candle size does not always align with volume.
-Impulse Trend: A method that evaluates trend strength by summing price movements over a specified period, where each candle with a higher close than the previous adds +1, a lower close subtracts -1, and no change adds 0. The trend strength is determined by the sum: positive indicates an uptrend, negative a downtrend, and zero a continuation of the prior trend.
Results are visualized using dynamic color gradients, and alerts notify users of trend direction changes, facilitating quick decision-making.
█Why Use It?
-Volume-Free Operation: Ideal for markets without volume data.
-Flexibility: Two trend detection methods allow adaptation to various trading strategies.
-Dynamic Visualization: Color gradients and semi-transparent backgrounds simplify quick interpretation of trend strength.
-Alerts: Notifications for trend changes (from uptrend to downtrend and vice versa) support active trading.
-Customization: Options to adjust colors, analysis periods, and candle shadow inclusion.
█How It Works?
-Candle Size Calculation: Depending on the setting, candle size includes only the body (difference between close and open) or the body plus half the candle range (calculated as 0.5 * (high - low)) (setting Include candle shadows).
-Trend Detection:
LazyBear Style: Compares closing prices of adjacent candles to determine direction (uptrend, downtrend, or neutral) and confirms the trend using ta.rising or ta.falling functions over the specified period.
Impulse Trend: Sums price movements over the analysis period (+1 for a candle with a higher close than the previous, -1 for a lower close, 0 for no change). A positive sum indicates an uptrend, a negative sum a downtrend, and zero a continuation of the prior trend.
-Wave Accumulation: Candle sizes are accumulated within a single wave until the trend changes.
-Normalization and Gradients: Wave values are normalized to a 0-100 scale solely for color gradient purposes, enabling dynamic color changes from base to intense, reflecting wave strength relative to historical values. The height of columns (representing waves) is not normalized and corresponds to the accumulated candle size.
-Alerts: The indicator generates notifications when the wave direction changes (from uptrend to downtrend or vice versa), enabling quick responses to trend shifts.
-Visualization: Upward and downward waves are plotted as columns with dynamic colors, and the chart background changes color for better visibility.
█Settings and Customization
-Trend Detection Method: Choose between LazyBear Style (default) and Impulse Trend.
-Trend Analysis Period: Number of candles for trend analysis (default: 4).
-Include Candle Shadows: Determines whether to include half the candle range (high - low) in addition to the body (default: enabled).
-Lookback Period for Dynamic Thresholds: Number of candles to calculate the maximum and minimum wave values for color gradient normalization (default: 70).
-Gradient Minimum/Maximum Value: Threshold values defining the normalization range for color gradients (default: 0/100). A lower minimum value reduces the threshold for lighter colors, while a higher maximum value increases the threshold for more intense colors.
-Wave Colors: Options to select base and intense colors for upward and downward waves.
-Alerts: Enable alerts in TradingView settings (Upward Trend Change and Downward Trend Change) for trend change notifications.
█Usage Examples
-Trend Analysis: Upward waves (green columns) indicate buying pressure, while downward waves (red columns) indicate selling pressure. The more intense the color, the stronger the wave relative to historical values.
-Comparing Timeframes: Analyze trends across multiple timeframes (e.g., 1H, 4H, 1D) for broader context. For example, enter a position on the 4H timeframe after confirming trend alignment on 1H, 4H, and 1D, along with validation from a key level, such as a Fibonacci level or a Break of Structure (BOS).
-Using Alerts: Configure alerts in TradingView to receive notifications of trend changes, useful for active trading.
█Notes for Users
-Experiment with the Trend Analysis Period and Include Candle Shadows settings to tailor the indicator to your market and timeframe.
-Combine the indicator with other tools, such as support/resistance levels or RSI, to enhance signal accuracy.
-The Impulse Trend method may be more sensitive to short-term price changes, while LazyBear Style performs better in clear trends. Results from LazyBear Style may differ from the original Weis Wave, as candle size does not always align with volume.
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Trigonometric Sine Cosine WavesTrigonometric Sine Cosine Waves - Advanced Cyclical Analysis
Overview
This innovative indicator applies trigonometric mathematics to market analysis, generating dynamic sine and cosine waves that adapt to price movement and volatility. Unlike traditional oscillators, this tool visualizes market cycles directly on your chart using mathematical wave functions.
How It Works
The indicator calculates phase-based waves using:
• Phase Calculation: 2π × bar_index / cycle_length
• Adaptive Amplitude: EMA-based price + ATR volatility scaling
• Sine Wave: avgPrice + volatility × sin(phase)
• Cosine Wave: avgPrice + volatility × cos(phase)
Key Features
Dynamic Wave Generation
• Sine Wave: Primary cycle indicator with smooth transitions
• Cosine Wave: Leading indicator (90° phase difference from sine)
• Adaptive Amplitude: Automatically adjusts to market volatility using ATR
Turning Point Detection
• Anti-Repaint Signals: Uses confirmed values from previous bars
• Sine Bottom: Potential buy zones when wave transitions from down to up
• Sine Top: Potential sell zones when wave transitions from up to down
Advanced Analytics
• Price Correlation Angle: Shows relationship between price movement and cycle
• Phase Information: Current position in the mathematical cycle
• Real-time Values: Live sine/cosine values and phase degrees
Visual Enhancement
• Background Coloring: Changes based on sine wave position (above/below zero)
• Clean Overlay: Waves plot directly on price chart without cluttering
Parameters
• Cycle Length (5-200): Controls wave frequency - shorter = more sensitive
• Amplitude Multiplier (0.1-5.0): Adjusts wave height relative to volatility
• Display Options : Toggle sine wave, cosine wave, and correlation table
• Show Correlation : Optional table showing mathematical values
Trading Applications
Cycle Analysis
• Identify market rhythm and timing
• Spot potential reversal zones
• Understand price-to-cycle relationships
Entry/Exit Timing
• Buy Signals: Sine wave bottoms (cycle lows)
• Sell Signals: Sine wave tops (cycle highs)
• Confirmation: Use with other indicators for higher probability setups
Market Structure
• Visualize underlying market cycles
• Identify periods of high/low cyclical activity
• Track phase relationships between price and mathematical cycles
Pro Tips
1. Longer cycles (50-100) work better for swing trading
2. Shorter cycles (10-20) suitable for scalping
3. Combine with volume for stronger signal confirmation
4. Monitor correlation angle for trend strength assessment
5. Use background color as quick visual cycle reference
Important Notes
• Signals are anti-repaint using confirmed previous bar values
• Best used in trending or cyclical markets
• Consider market context when interpreting signals
• Mathematical approach - not based on traditional TA concepts
Alerts Included
• Sine Wave Buy Signal: Triggered on wave bottom detection
• Sine Wave Sell Signal: Triggered on wave top detection
Technical Requirements
• Pine Script v6
• Works on all timeframes
• No external dependencies
• Optimized for performance
This is a free, open-source indicator. Feel free to modify and improve according to your trading needs!
Educational Value: Perfect for understanding how mathematical functions can be applied to market analysis and cycle detection.
ABC Trading ConceptOverview
ABC Trading Concept is a wave- and trend-based market structure indicator that identifies shifts in price behavior by analyzing impulse and correction patterns. It introduces a unique calculation method—Price-MAD-ATR Bands—to detect wave formation, trend reversals, and potential trade zones with dynamic adaptability to volatility and trend strength.
🔧 Core Logic and Calculations
1. Price-MAD-ATR Bands
At the heart of the script is a proprietary channel system based on:
MAD (MA Difference): Difference between fast and slow moving averages.
ATR (Average True Range): Measures current market volatility.
The bands are plotted as:
Upper Band = Price + MAD × ATR
Lower Band = Price − MAD × ATR
A breakout beyond these bands signals the formation of a new wave (up or down).
2. Wave Formation (A and B Waves)
Standard Method: A new wave forms when price breaks through a Price-MAD-ATR Band.
Extreme Method: A wave also forms when price breaks the passive extremum of an existing wave.
Wave A may be generated by a correction breaking the Reversal Point.
Wave B can be configured to form in three modes, including breakouts of internal or boosted counter-corrections.
3. Trend Structure
A trend is built from waves and includes:
Direction, active/passive extremums
Impulses and Corrections (each tracked independently)
Reversal Point: Defined by a boosted correction breakout
G-Point: Set at the active extremum of Wave A
Vic Line: A trendline derived from previous correction extremums (optional)
When price breaks above the G-point, a new trend may be initiated.
4. Correction Boost Logic
A correction becomes boosted when price exceeds a configurable multiple of the correction’s range. Boosted corrections define key zones and enable the creation of Reversal Points and Wave A setups.
5. Vic Sperandeo Line
Optionally used to enhance trend structure confirmation. Drawn between extremums of previous corrections and may act as a secondary condition for forming Wave A.
6. SL/TP Level Calculation
At the start of a new trend, SL and TP levels are automatically plotted based on:
The extremums of Wave A or Wave B (selectable)
Configurable ratios (e.g., 1.382, 2.0, 2.618 for TP levels)
📊 Visual Elements on the Chart
Bands: Price-MAD-ATR Bands as adaptive upper/lower thresholds
Waves: Yellow zigzag lines
Trends: Blue (or purple for hard-type) trendlines with directional arrow
Reversal Point: Dashed horizontal line (starts from key correction breakout)
Correction Zone: Shaded rectangle from boosted correction range
Vic Line: Dashed support/resistance trendline
TP/SL Levels: Dotted horizontal levels, plotted at trend origin
⚙️ Inputs and Customization
You can adjust:
ATR and MA parameters
Band width multiplier
Boost strength threshold for corrections
SL/TP levels and logic (by Wave A or B)
Vic Line usage and visual styles for each element
Over 40 configurable settings are available to adapt the indicator to your strategy.
🧠 How to Use
Look for a new trend start when G-point is broken.
Use Wave A/B structure and Reversal Point for setup planning.
Correction Zones help identify re-entry areas or stop placement.
Follow TP/SL levels to manage exits with structural targets.
The Vic Line can act as dynamic support/resistance in context.
The indicator provides analytical insights—it does not generate automatic signals.
💡 What Makes It Unique
Unlike typical wave or Zigzag indicators, ABC Trading Concept introduces a volatility-adjusted wave logic using Price-MAD-ATR Bands. This method combines trend momentum (MA differential) with market volatility (ATR), offering a more flexible and noise-resistant structure recognition system. The integration of Wave A/B logic, dynamic reversal zones, and Vic Line validation makes it a comprehensive tool for structural traders.
⚠️ Disclaimer
This tool is for technical analysis and educational purposes. It does not guarantee profit or forecast market direction. Trading involves risk—use this script as part of a larger strategy with proper risk management.
Nen Star Harmonic Pattern [TradingFinder] NenStar Reversal Auto🔵 Introduction
The Nen-Star Harmonic Pattern is an advanced reversal pattern in technical analysis, designed to identify market trend changes and predict key price reversal points. This pattern is defined by a combination of Fibonacci ratios and critical concepts such as Potential Reversal Zones (PRZ), market structure, and corrective waves.
The key points of this pattern include X, A, B, C, and D, and it appears in both bullish and bearish forms. In its bullish form, the pattern resembles the letter M, while in its bearish form, it takes the shape of W. The critical Fibonacci ratios for this pattern are 0.382 to 0.786 for the XA wave, 1.13 to 1.414 for the AB wave, and 1.272 to 2.618 for the BC wave.
The Nen-Star Harmonic Pattern is one of the most precise tools for identifying market reversals and executing reversal trades. Traders can use it to pinpoint optimal entry and exit points and benefit from high risk-to-reward ratios.
By emphasizing Fibonacci retracement levels, XABCD waves, the formation of bullish and bearish patterns, and precise trade entry points, this pattern has become a practical tool in advanced technical analysis.
Bullish Nen-Star Pattern :
Bearish Nen-Star Pattern :
🔵 How to Use
The Nen-Star Harmonic Pattern indicator allows traders to automatically identify the bullish and bearish structures of this pattern and locate optimal entry and exit points. By accurately analyzing Fibonacci ratios and determining points X, A, B, C, and D, the indicator highlights Potential Reversal Zones (PRZ) on the chart. Traders can rely on the generated signals to manage their trades with greater precision.
🟣 Bullish Nen-Star Pattern
The bullish Nen-Star pattern begins with a price increase from point X to point A, followed by a retracement to point B, which lies between 0.382 and 0.786 of the XA wave.
After this retracement, the price moves to point C, located between 1.13 and 1.414 of the AB wave. The final movement is a price decline to point D, which is between 1.272 and 2.618 of the BC wave and 1.13 to 1.272 of the XA wave.
Point D : Serves as the key Potential Reversal Zone (PRZ).
Entry : A buy trade is initiated at point D, signaling the end of the corrective movement and the beginning of a price increase.
Price Targets :
61.8% retracement of the CD wave
Point A
Point C
1.272 and 1.618 extensions of the CD wave if resistance at point C is broken
Stop Loss : Placed slightly below point D.
🟣 Bearish Nen-Star Pattern
The bearish Nen-Star pattern starts with a price decrease from point X to point A, followed by a retracement to point B, which lies between 0.382 and 0.786 of the XA wave.
After this retracement, the price moves to point C, located between 1.13 and 1.414 of the AB wave. The final movement is a price increase to point D, which is between 1.272 and 2.618 of the BC wave and 1.13 to 1.272 of the XA wave.
Point D : Serves as the key Potential Reversal Zone (PRZ).
Entry : A sell trade is initiated at point D, signaling the end of the corrective movement and the beginning of a price decline.
Price Targets :
61.8% retracement of the CD wave
Point A
Point C
1.272 and 1.618 extensions of the CD wave if support at point C is broken
Stop Loss : Placed slightly above point D.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Nen-Star Harmonic Pattern is a highly effective analytical tool in global financial markets, playing a crucial role in identifying reversal points and market trend changes. By leveraging Fibonacci principles and price structure, this pattern enables precise analysis across various assets, including stocks, cryptocurrencies, forex, and commodities.
Traders operating in global markets can use this pattern to identify high risk-to-reward trading opportunities. Its clear entry and exit points, defined Potential Reversal Zones (PRZ), and accurate price targets make it an excellent tool for risk management and profitability enhancement.
In the global context, the Nen-Star pattern is widely used by professional analysts in both advanced and emerging markets due to its versatility in analyzing long-term and short-term charts. Beyond trend prediction, it enhances trading strategies and optimizes investment decisions.
Combining this pattern with complementary tools such as volume analysis, technical indicators, and macroeconomic conditions can provide traders with deeper market insights, helping them capitalize on global opportunities.
Fractal & Entropy Market Dynamics with Mexican Hat WaveletThis indicator combines fractal analysis, entropy, and wavelet theory to model market dynamics using a customized approach. It integrates advanced mathematical techniques to assess the complexity and structure of price action, while also incorporating volume and price volatility.
Key Concepts and Features:
Volume-Weighted Price:
The script calculates a volume-adjusted price using a moving average of volume to give more weight to periods with higher volume. This allows the indicator to account for the impact of trading volume on price movements, enhancing its sensitivity to significant price shifts.
Mexican Hat Wavelet Approximation:
The script employs the Mexican Hat Wavelet, a mathematical tool that approximates price movements based on the Laplacian of the price series. This helps capture localized oscillations in price, acting as a filter to highlight certain price dynamics over the specified length. This wavelet is commonly used to identify key inflection points and trends in financial data.
Fractal Dimension Calculation:
The fractal dimension is calculated to quantify the market's complexity. It measures how price moves between intervals, with higher values indicating chaotic or more volatile market behavior. This dimension captures the self-similarity in price movements across different time frames, a key feature of fractals.
Shannon Entropy Calculation:
Shannon Entropy is used to measure the randomness or uncertainty in the price action. It calculates the degree of unpredictability based on the price changes, providing insight into the market's informational efficiency. Higher entropy indicates more randomness, while lower entropy suggests more predictable trends.
Custom Normalization:
The script includes a custom normalization function that processes the composite score (derived from fractal dimension and entropy). This normalization helps scale the values into a consistent range, making it easier to interpret the output. The smoothing factor and RSI-based approach ensure that the normalized value reacts smoothly to the changes in market dynamics.
Composite Score:
The composite score is a weighted combination of the fractal dimension and entropy. This score aims to provide a holistic view of the market by combining the structural complexity (fractal) and randomness (entropy) into one unified metric.
Plotting and Visuals:
The indicator plots the normalized composite score on a scale where a baseline of 50 is provided for reference. The resulting plot helps traders visualize market dynamics, with the score fluctuating based on changes in the market's fractal dimension and entropy. A score above or below the baseline of 50 indicates potential market shifts.
Use Case:
The "Enhanced Fractal and Entropy Market Dynamics with Mexican Hat Wavelet" is useful for traders looking to identify market conditions where there is a balance between price structure and randomness. By integrating wavelets, fractals, and entropy, the indicator can provide insights into market complexity, helping traders recognize potential trend reversals, periods of consolidation, or increased volatility. This can be particularly effective for those employing swing trading or trend-following strategies
Lune Oscillator Premium⬛️ Overview
Lune Oscillator is an advanced and innovative TradingView indicator designed to enhance your market analysis. Rather than merely improving visuals or merging traditional indicators, it introduces a series of unique features, each with its unique value proposition. This script stands out due to its originality, and the significant utility it brings to traders.
🟦 Features
Oscillator features an assortment of sophisticated tools aimed at refining your trading strategies:
🔹 Trend Oscillator: This feature integrates market trend and momentum analysis into one dynamic oscillator. It's designed to facilitate market trend and momentum analysis, and is invaluable to traders as it combines both trend and momentum analysis into one tool. For instance, if a ticker shows signs of slowing momentum after a recent rally, the Trend Oscillator could predict a potential trend reversal. The Trend Oscillator’s sensitivity and velocity settings can be tailored to suit your trading style and strategy. It is developed using a custom formula similar to WaveTrend but optimized for better detection of trend and momentum shifts.
🔹 Market Peak: Market Peak identifies potential market peaks and troughs using a percentile-based system. It's aimed at detecting overextensions in the Trend Oscillator, indicating potential market reversals. Compact and user-friendly, this feature signals potential trade exit points in case of an impending market reversal. Its sensitivity can be adjusted to react to either short-term or long-term market changes. By analyzing the market's average move, it detects overbought or oversold conditions when the percentage gets too extreme.
🔹 Money Pulse: The Money Pulse feature serves as a radar for money inflow or outflow, helping users detect nascent trends and reversals. It enables traders to spot early opportunities and reversals and align their strategies with institutional and large players. For example, a bullish Money Pulse during market consolidation could signal money influx and the beginning of an accumulation phase. The sensitivity of the Market Pulse can be adapted to short-term or long-term changes. This feature employs an improved version of the Money Flow concept.
🔹 Liquidity Pulse: Liquidity Pulse provides a unique perspective of asset liquidity by tracking market inflow and outflow volumes. It assists traders in understanding the market's liquidity sentiment, which is particularly useful for long-term trades and confluence. For instance, a bullish Liquidity Pulse could signal abundant liquidity, potentially driving up the price. The sensitivity setting can be adjusted for short-term or long-term liquidity changes. This feature utilizes an enhanced version of the On-Balance Volume concept.
🔹 Institutional Wave: This feature tracks the cumulative inflow and outflow for a specific ticker, helping traders monitor institutional money flows. It enables the analysis of a ticker's accumulation and distribution, assisting in detecting early trade entries and avoiding dumps. For example, a decrease in volume during consolidation after a price rally could indicate sell-off and potential price drop. The Institutional Wave's sensitivity can be adapted to either short-term or long-term changes. It operates on the Accumulation and Distribution concept.
🔹 Power Wave: The Power Wave evaluates market strength and momentum, indicating market power shifts. It helps traders understand the true power behind a market move. For instance, a decreasing Power Wave during a bullish move could indicate a weakening trend, suggesting a bearish strategy instead. The sensitivity of the Power Wave can be set for short-term or long-term market changes. The Power Wave calculates market strength by evaluating price change volatility.
🔹 Market Pressure: This feature detects shifts in buy and sell pressure, signaling potential turning points. It helps traders understand the power balance in the market. For example, a bullish Market Pressure shift during a short trade could suggest a momentum gain by bulls, indicating a trade exit. The Market Pressure's sensitivity can be adjusted for short-term or long-term changes. This feature uses volume data and moving averages to detect market pressure shifts, filtering out false and volatile signals.
🔹 Oscillator Copilot: Incorporating Smart Bias and Reversal Radar, the Oscillator Copilot helps identify market trends and potential reversals. It searches for confluence within multiple Oscillator features, providing a straightforward assistive tool. For example, a bullish Smart Bias signal during a long trade could suggest staying in the trade longer, while a bearish Reversal Radar signal could indicate the need to exit the trade.
🔹 Divergence Detection: This feature offers a sophisticated detection system for both regular and hidden market divergences, providing additional confluence and highlighting hard-to-detect divergences. For instance, a bullish Regular Divergence could signal a potential trade entry or exit depending on your overall market sentiment and bias. This feature uses fractals to effectively detect divergences in the market based on the Trend Oscillator.
🔹 Color Themes: Personalize your charting experience with various color themes. This feature enhances the visual appeal of your chart, offering easy setup and use. For example, use the “Ice” theme for a unique and colorful experience or the “Dark” theme for a more subdued look. Themes available include Default, Light, Dark, and Ice. This feature modifies the colors of your candles and features based on the selected theme.
These features and tools collectively offer a comprehensive solution for traders to understand and navigate the financial markets. It's important to remember that they are designed to assist in making informed trading decisions and should be used as part of a balanced trading strategy.
🟧 Usage
Lune Oscillator's features are designed to be both standalone tools and components of a larger, integrated trading strategy. It is important to understand each feature and experiment with different configurations to best suit your unique trading needs.
🔸 Example #1: The following demonstrates how the Oscillator Copilot can be an excellent trade assistant.
The Oscillator Copilot leverages multiple Lune Oscillator features, allowing traders to quickly assess overall market sentiment. It uses Smart Bias and Reversal Radar tools to deliver these insights. For instance, at point 1, a bullish Smart Bias (denoted by a green circle) represents a collective bullish sentiment from multiple components of Lune Oscillator, often leading to a price increase. Conversely, at point 2, we identify two bearish reversal signals from the Reversal Radar (highlighted by red triangles). This convergence of bearish signals from multiple components hints at a potential market reversal, often followed by a gradual price decline.
🔸 Example #2: This example shows how the Market Peak feature can aid in detecting potential market tops and bottoms.
Market Peak calculates how overbought or oversold a ticker is using a percentile system, offering insights into potential reversals. At points 1 and 2, we observe bearish Market Peaks suggesting overbought conditions and indicating a possible shift in trend. Subsequent to these peaks, we witness a price drop, mirroring the overbought market conditions. In contrast, at point 3, a bullish Market Peak suggests an oversold market, indicating a potential trend reversal and subsequent price increase.
🔸 Example #3: This is an example of how combining various features such as the Money Pulse, Liquidity Pulse, Institutional Wave, and Market Peak, can help make more informed trades.
Money Pulse and Liquidity Pulse provide insights into the money and liquidity flow in the market, respectively, while the Institutional Wave monitors the cumulative volume shifts and changes. Together with Market Peak, they offer a comprehensive view of the market's state.
At point 1, the positive Liquidity Wave (crossing above 0) suggests a bullish market volume. At point 2, a bullish Market Pressure indicates an increase in buying pressure, reinforcing the bullish sentiment. At point 3, a negative Liquidity Wave (crossing below 0) indicates a bearish sentiment, suggesting that market participants are exiting their positions. The concurrent Market Pressure hints at an increase in selling activity. Taking all these factors into account provides a strong indicator that the market sentiment has turned bearish.
🟥 Conclusion
Lune Oscillator aims to provide a suite of tools that bring unique value to traders. Each feature is designed to offer different, yet complementary, perspectives on the market, allowing users to piece together a more comprehensive understanding of their trading environment.
🔻 Access
You can see the Author's instructions below to get instant access to this indicator & our Premium Suite.
🔻 Disclaimer
Lune Oscillator is a tool for aiding in market analysis and is not a guarantee of future market performance or individual trading success. We strongly recommend that users combine our tool with their trading strategies and do their due diligence before making any trading decisions.
Remember, past performance is not indicative of future results. Please trade responsibly.
Wavemeter [theEccentricTrader]█ OVERVIEW
This indicator is a representation of my take on price action based wave cycle theory. The indicator counts the number of confirmed wave cycles, keeps a rolling tally of the average wave length, wave height and frequency, and displays the statistics in a table. The indicator also displays the current wave measurements as an optional feature.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a high price equal to or above the price it opened.
• A red candle is one that closes with a low price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. As can be seen in the example above, the first swing high or swing low will set the course for the sequence of wave cycles that follow; a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Wave Length
Wave length is here measured in terms of bar distance between the start and end of a wave cycle. For example, if the current wave cycle ends on a swing low the wave length will be the difference in bars between the current swing low and current swing high. In such a case, if the current swing low completes on candle 100 and the current swing high completed on candle 95, we would simply subtract 95 from 100 to give us a wave length of 5 bars.
Average wave length is here measured in terms of total bars as a proportion as total waves. The average wavelength is calculated by dividing the total candles by the total wave cycles.
Wave Height
Wave height is here measured in terms of current range. For example, if the current peak price is 100 and the current trough price is 80, the wave height will be 20.
Amplitude
Amplitude is here measured in terms of current range divided by two. For example if the current peak price is 100 and the current trough price is 80, the amplitude would be calculated by subtracting 80 from 100 and dividing the answer by 2 to give us an amplitude of 10.
Frequency
Frequency is here measured in terms of wave cycles per second (Hertz). For example, if the total wave cycle count is 10 and the amount of time it has taken to complete these 10 cycles is 1-year (31,536,000 seconds), the frequency would be calculated by dividing 10 by 31,536,000 to give us a frequency of 0.00000032 Hz.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
█ FEATURES
Inputs
Show Sample Period
Start Date
End Date
Position
Text Size
Show Current
Show Lines
Table
The table is colour coded, consists of two columns and, as many as, nine rows. Blue cells display the total wave cycle count and average wave measurements. Green cells display the current wave measurements. And the final row in column one, coloured black, displays the sample period. Both current wave measurements and sample period cells can be hidden at the user’s discretion.
Lines
For a visual aid to the wave cycles, I have added a blue line that traces out the waves on the chart. These lines can be hidden at the user’s discretion.
█ HOW TO USE
The indicator is intended for research purposes, strategy development and strategy optimisation. I hope it will be useful in helping to gain a better understanding of the underlying dynamics at play on any given market and timeframe.
For example, the indicator can be used to compare the current range and frequency with the average range and frequency, which can be useful for gauging current market conditions versus historic and getting a feel for how different markets and timeframes behave.
█ LIMITATIONS
Some higher timeframe candles on tickers with larger lookbacks such as the DXY , do not actually contain all the open, high, low and close (OHLC) data at the beginning of the chart. Instead, they use the close price for open, high and low prices. So, while we can determine whether the close price is higher or lower than the preceding close price, there is no way of knowing what actually happened intra-bar for these candles. And by default candles that close at the same price as the open price, will be counted as green. You can avoid this problem by utilising the sample period filter.
The green and red candle calculations are based solely on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Alternatively, you can replace the scenarios with your own logic to account for the gap anomalies, if you are feeling up to the challenge.
It is also worth noting that the sample size will be limited to your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000. If upgrading is currently not an option, you can always keep a rolling tally of the statistics in an excel spreadsheet or something of the like.
Elliott Wave Oscillator Signals by DGTElliott Wave Principle , developed by Ralph Nelson Elliott, proposes that the seemingly chaotic behaviour of the different financial markets isn’t actually chaotic. In fact the markets moves in predictable, repetitive cycles or waves and can be measured and forecast using Fibonacci numbers. These waves are a result of influence on investors from outside sources primarily the current psychology of the masses at that given time. Elliott wave predicts that the prices of the a traded currency pair will evolve in waves: five impulsive waves and three corrective waves. Impulsive waves give the main direction of the market expansion and the corrective waves are in the opposite direction (corrective wave occurrences and combination corrective wave occurrences are much higher comparing to impulsive waves)
The Elliott Wave Oscillator (EWO) helps identifying where you are in the 5-3 Elliott Waves, mainly the highest/lowest values of the oscillator might indicate a potential bullish/bearish Wave 3. Mathematically expressed, EWO is the difference between a 5-period and 35-period moving average based on the close. In this study instead 35-period, Fibonacci number 34 is implemented for the slow moving average and formula becomes ewo = ema(source, 5) - ema(source, 34)
The application of the Elliott Wave theory in real time trading gets difficult because the charts look messy. This study (EWO-S) simplifies the visualization of EWO and plots labels on probable reversals/corrections. The good part is that all plotting’s are performed on the top of the price chart including a histogram (optional and supported on higher timeframes). Additionally optional Keltner Channels Cloud added to help confirming the price actions.
What to look for:
Plotted labels can be used to follow the Elliott Wave occurrences and most importantly they can be considered as signals for possible trade setup opportunities. Elliott Wave Rules and Fibonacci Retracement/Extensions are suggested to confirm the patters provided by the EWO-S
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
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone 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
My WaveThis is my implementation in TradingView of my modified version of the "Weis Wave".
Given the limitations of TradingView in alter past variable values, whenever the close change direction and the wave don't I sum the volume to the present wave and also to a possible future wave.
This results in columns of a mixed color within the columns of the histogram. By changing the percentage input you can and must keep this extra columns to a minimum.
You must insert two copies of the indicator on your chart and "unmerge down" one of them. On the overlayed you must * format and edit and unmark Histup and Histdown, on the unmerged down you must * format and edit and unmark BetaZigZag and stableZigZag.
You can also unmark Bar Color on both if you don't want to colour the bars according to the waves.
Trend: If the buying waves are longer than the selling waves the immediate trend is up, and vice versa.
Look out for a change in trend if in an uptrend the selling waves begin to increase in time and distance or the buying waves shorten, and vice versa.
From the volume histogram you can get the force of the buying and selling waves.
From the price waves you get the result of that force. You can also spot the "shortening of the thrust" up or down.
Comparing the two you can spot "effort without result" "ease of movement".
References: "Trades About To Happen" David H. Weis, Division 2 of the Richard D. Wyckoff Method of Trading in Stocks.
Aibuyzone Elliott Wave SuiteOverview
This study approximates Elliott-style wave structure using swing pivots. It labels primary waves (1–5), tracks subwaves (1–5) inside them, and plots future projection bands derived from the size of a recent primary leg. A small floating dashboard summarizes the current wave number, bias (bullish/bearish) based on the last leg, and a projection price range.
Note: This tool is educational. Wave detection is algorithmic and approximate; it does not identify textbook Elliott patterns or validate rule sets. Manage risk independently.
What it draws
Primary wave labels (1–5): Based on higher swing length pivots (major turns).
Subwave labels (1–5): Based on shorter swing length pivots (minor turns).
Zigzag connectors: Simple lines between the latest primary pivots for structure visualization.
Projection bands: Three dotted horizontal levels forward from the last primary pivot, using user-defined extension multipliers.
Floating dashboard:
Current Wave: Latest primary wave count (1–5).
Bias: “Bullish Leg” (last pivot was a low) or “Bearish Leg” (last pivot was a high), or “Unknown” if insufficient data.
Proj Range: Min–max of the three projection levels.
Key Inputs
Swing Structure
Primary Swing Length: Pivot left/right bars for major swings. Larger values = fewer, cleaner waves.
Subwave Swing Length: Pivot left/right bars for minor swings. Smaller values = more frequent subwave labels.
Max Saved Swing Points: Memory limit to prevent clutter.
Future Projections
Show Projection Levels: Toggle projection lines on/off.
Use Last Nth Leg For Size: Which recent primary leg to use for measuring projection distance (1 = most recent).
Extension 1 / 2 / 3: Multipliers applied to the measured leg (e.g., 1.0, 1.618, 2.0).
Style
Colors and text sizes for primary and subwave labels, and projection lines.
Dashboard
Show Dashboard: Toggle table on/off.
Dashboard Position: Top-Left / Top-Right / Bottom-Left / Bottom-Right.
How projections are computed
The script measures the price distance of a recent primary leg (from pivot A to pivot B).
If the last pivot is a low, projections extend upward; if the last pivot is a high, projections extend downward.
The three extension inputs (e.g., 1.0 / 1.618 / 2.0) are applied to that leg distance to create dotted forward levels.
The dashboard’s Proj Range displays the min–max of those three levels.
Using the study (suggested workflow)
Choose timeframe appropriate for your style (e.g., higher timeframes for cleaner structure; lower timeframes for detail).
Tune swing lengths:
Increase Primary Swing Length on noisy charts to stabilize wave counts.
Adjust Subwave Swing Length to reveal or simplify internal moves.
Read the dashboard:
Current Wave shows where the latest primary count sits (1–5).
Bias summarizes the direction of the last measured leg only; it is not a trend system.
Proj Range offers a coarse price band derived from your extensions.
Context check: Combine wave labeling with your own market context (trend, structure, volatility) before making decisions.
Risk management: Use your own stop/target methods. The projection lines are not signals.
Practical tips
Clutter control: If labels overlap on volatile symbols, try larger swing lengths or reduce label text sizes in Style.
Scaling: On very small tick sizes, increasing the internal label price offset can improve label readability.
Projection sensitivity: Changing Use Last Nth Leg can materially alter levels; confirm they match your intent.
Non-determinism across timeframes: Different timeframes and symbols will produce different pivot sequences and counts.
Limitations & important notes
Approximation: This does not enforce all Elliott rules (e.g., alternation, wave 4 overlap constraints, channeling). It only labels swings numerically.
Repainting of labels: Pivot-based waves confirm after enough bars have printed to the right of a high/low. Labels are placed when pivots confirm; they don’t predict pivots.
Not a signal generator: No entries/exits/alerts are included; add your own trade plan and risk controls.
Data sufficiency: Early bars or sparse data may show “Unknown” bias or “N/A” projections until adequate pivots exist.
Clean-chart publishing guidance (to stay compliant)
Use a chart that clearly shows this script’s outputs without unrelated indicators.
Keep the description educational. Avoid performance claims, guarantees, or language implying certainty.
Do not include links, promotions, prices, giveaways, contact details, or solicitations.
Disclose that labels and projections are algorithmic approximations and for educational use.
Risk disclosure
This script is for educational purposes only. It does not provide financial, investment, or trading advice and does not guarantee outcomes. Markets involve risk, including the potential loss of capital. Always do your own research and use independent judgment.
Relative Wave: Volatility IncludedFor the setup shown, it is best used with the following scripts I have written:
1. Indicator: Volatility Candle Based
2. Multi-Period Charts (use 2 of them): @ 30m and 1H settings
3. Relative Wave: Volatility Included.
Indicator Description: Relative Wave: Volatility Included (RW: Vol)
Pine Script v6 – Technical Overview
🔍 Purpose
The Relative Wave: Volatility Included (RW: Vol) is a custom oscillator designed to measure price position relative to dynamic upper and lower bounds that are influenced by volatility. It incorporates trend filtering, momentum smoothing, and zone detection, providing a composite view of price waves and potential reversal signals.
🧠 How It Works
1. Core Concept: Relative Position within Volatility Bands
The indicator calculates a Relative Wave Index, which measures where the current price sits between recent upper and lower bands derived from standard deviation. These bounds are sorted over a historical window to filter for sensitivity.
2. Sensitivity & Smoothing
Trend Length (Historical_Bar_Count): Defines how many bars are used to build the volatility-adjusted trend range.
Sensitivity Control: Adjusts how reactive the index is to recent price changes.
EMA Smoothing: Custom exponential moving averages are used to smooth values for fast, slow, and overall momentum.
3. Components & Visuals
RW Short-Term Fast Line: Plotted as colored circles indicating quick changes in trend.
RW Short-Term Slow Line: A smoother trend line for signal filtering.
RW Overall Momentum Line: Step-style line measuring broader directional trend.
RW Wave Line: A smoothed average of recent crests and troughs, acting as a cyclical midline reference.
Zone Lines (5/20/50/80/95): Visual thresholds often used as overbought/oversold regions.
⚙️ Key Inputs & Their Effects
Trend Length: Longer = smoother but laggy trends; shorter = more responsive but volatile.
Sensitivity: Higher values = less sensitivity; lower = more reactive.
Signal Lengths (Fast/Slow/Overall): Control the degree of smoothing for each plotted line.
Crest/Trough Lookback: Determines how crests and troughs are calculated from past wave behavior.
✅ Trade Signal Logic
The script defines bullish and bearish conditions based on the interaction of:
RW Wave direction
Overall Momentum direction
Slow Line behavior
Relative positioning (e.g., below or above 50)
Bullish Example:
RW Wave and Momentum are both rising
Values are below 50 (potential upside room)
Slow Line may be falling or just crossed upward
Bearish Example:
RW Wave and Momentum are falling
Values are above 50 (potential downside room)
Slow Line rising or crossed downward
🎨 Visual Aids & Colors
Green: Bullish momentum
Red: Bearish momentum
Blue/Purple Circles: Transition points and fast line status
White/Midrange Lines: Reference zones (like RSI levels)
📈 Best Use Cases
Identifying shifts in market direction before price breakout
Confirming trend strength using wave/momentum alignment
Spotting oversold/overbought zones with volatility context
Combining with other indicators (e.g., price action or volume)
How the Relative Wave Indicator, Volatility-Based Candle Signals, and Multi-Time Period Charts Work Together
This strategy combines three core components—Relative Wave, Volatility Candle Signals, and Multi-Time Period Analysis—to build a layered, high-probability trading framework.
🔷 1. Relative Wave Indicator (used on 3-minute chart)
The Relative Wave Indicator is a momentum and volatility-based oscillator that tracks price movement within a defined range using historical highs and lows derived from standard deviation bands. It smooths price action using fast and slow custom EMAs to identify underlying trend strength and reversals.
Key Features:
Tracks short-term wave structure
Detects momentum shifts based on rising/falling conditions
Uses color-coded momentum signals to help spot turning points early
The wave line and overall momentum line help confirm the quality of trend setups
🔶 2. Volatility Candle-Based Indicator (used on 3-minute chart)
The Volatility Candle Signal highlights significant price action based on expanding or contracting volatility. This tool helps identify moments of potential breakout or reversal by evaluating candle size, wick structure, and deviation from recent ranges.
Key Purpose:
Pinpoints actionable moments when volatility is entering or exiting the market
Works in tandem with Relative Wave to validate whether a momentum shift is strong enough to act on
🕰 3. Multi-Time Period Chart Confirmation (30-minute & 2-hour)
To avoid false signals and ensure alignment with broader market context, two higher timeframes (30m and 2h) are used as confirmation filters.
How They Integrate:
The 30-minute chart provides mid-range trend direction—ideal for intraday bias
The 2-hour chart offers broader trend context and helps avoid trading against dominant macro trends
These are used as overlays or separate indicators that mirror Relative Wave or other trend-detection tools to show whether the short-term setup aligns with bigger picture momentum
✅ Optimal Setup
Execution Timeframe: 3-minute chart
Confirmation Timeframes: 30-minute and 2-hour charts
Ideal Conditions for Trade Entry:
Relative Wave shows bullish/bearish alignment (e.g., wave and momentum lines rising with value <50 for bulls, >50 for bears)
Volatility candles indicate a breakout or reversal
Both the 30m and 2h multi-timeframe indicators confirm the trend direction or support a momentum shift
This integrated approach minimizes noise and increases confidence in each trade setup by ensuring that short-term signals are supported by volatility behavior and broader market context.
[MAD] WaveBuilderThe WaveBuilder indicator is a powerful technical analysis tool that combines wave calculations, channel formation, and smoothing techniques to identify trends, reversals, and potential trading opportunities.
It provides users with customizable settings for different timeframes, smoothing averages, channel levels, and alert conditions, making it a comprehensive and versatile tool for analyzing market dynamics.
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Wave Settings:
The Wave Settings section in the Multitimeframe WaveTrend indicator allows you to configure parameters related to the wave calculations based on different timeframes and lengths. This section focuses on four different lengths. Here are the details of the Wave Settings (4 Lengths):
Timeframe 1 (TF1): This parameter allows you to select the first timeframe for the wave calculation. You can choose any valid timeframe.
Weight (F1): This setting represents the weight for Timeframe 1. It is a floating-point value that affects the impact of this timeframe in the wave calculation.
Multiplier 2 (TF2): This parameter specifies the multiplier for the second timeframe. It determines the ratio between Timeframe 2 and Timeframe 1.
Weight (F2): This setting represents the weight for Timeframe 2. It determines the influence of Timeframe 2 in the wave calculation.
Multiplier 3 (TF3): This parameter defines the multiplier for the third timeframe. It determines the ratio between Timeframe 3 and Timeframe 1.
Weight (F3): This setting represents the weight for Timeframe 3. It determines the impact of Timeframe 3 in the wave calculation.
Multiplier 4 (TF4): This parameter specifies the multiplier for the fourth timeframe. It determines the ratio between Timeframe 4 and Timeframe 1.
Weight (F4): This setting represents the weight for Timeframe 4. It determines the influence of Timeframe 4 in the wave calculation.
WaveBuilder Fast: This parameter sets the length of the fast wave average. It represents the number of bars considered in the calculation of the fast wave average.
WaveBuilder Slow: This parameter sets the length of the slow wave average. It represents the number of bars considered in the calculation of the slow wave average.
The Wave Settings allow you to configure different timeframes, multipliers, and weights for wave calculations. These settings provide flexibility in customizing the indicator's behavior based on your preferred trading strategy and market conditions.
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Counter Oscillator:
The Counter Oscillator section in the Multitimeframe WaveTrend indicator enables you to configure parameters related to a counter oscillator. This oscillator helps identify potential reversals or countertrend movements.
Here are the details of the Counter Oscillator settings:
Multiplier Counter (TF5): This parameter allows you to select the multiplier counter timeframe. It determines the ratio between the multiplier counter and the main timeframes.
Weight (F5): This setting represents the weight for the multiplier counter. It determines the influence of the multiplier counter in the counter oscillator calculation.
Length (will_length): This parameter sets the length or period of the counter oscillator. It represents the number of bars considered in the counter oscillator calculation.
The Counter Oscillator settings provide additional insights into the market by analyzing countertrend movements. By adjusting the multiplier counter and length parameters, you can customize the counter oscillator to suit your trading preferences.
----------------------
Wave Smoothing and Mixing:
The Wave Smoothing and Mixing section in the Multitimeframe WaveTrend indicator allows you to configure parameters related to the smoothing and mixing of the wave calculations. Here are the details of the Wave Smoothing and Mixing settings:
Average 1 Type: This parameter allows you to select the type of smoothing average for the first average. You have various options such as WMA, HMA, VWMA, LMA, RMA, SMA, EMA, and more.
Length 1: This setting determines the length or period of the first smoothing average. It represents the number of bars considered in the calculation.
Average 2 Type: This parameter allows you to select the type of smoothing average for the second average.
Length 2: This setting determines the length or period of the second smoothing average.
Mix Factor AVG1-AVG2: This parameter controls the mixing factor between the first and second smoothing averages. It affects the weighting or blending of the two averages.
POW - Factor: This parameter adjusts the power factor, which can compress or expand the resulting values. It allows you to fine-tune the output based on your preferences.
The Wave Smoothing and Mixing settings enable you to smooth the wave calculations and mix different averages to create a more refined and customized output. By selecting the desired smoothing types, adjusting the lengths, and modifying the mix factor and power factor, you can tailor the indicator to your specific trading style.
----------------------
Channel Levels and Alert Mode:
The Channel Levels and Alert Mode section in the Multitimeframe WaveTrend indicator allows you to configure parameters related to the channel levels and the alert mode. Here are the details of the Channel Levels and Alert Mode settings:
Channel Width: This parameter determines the width or range of the channel levels. It represents the distance between the upper and lower channel lines.
Channel Shift Up/Down: This setting allows you to shift the entire channel up or down. It represents the vertical offset of the channel lines.
Alert Mode (Alertmode): This parameter determines the type of alert triggered by the indicator based on the channel levels.
You have options such as Outside, CrossIn, CrossOut, ChangeDir-All, and ChangeDir-Outside.
Channel Levels: The upper and lower channel levels are calculated based on the channel width and offset. They provide visual boundaries for the price movement within the channel.
The Channel Levels and Alert Mode settings help define the channel levels and specify the conditions for generating alert notifications.
By adjusting the channel width, offset, and selecting the appropriate alert mode, you can customize the indicator's behavior according to your trading requirements.
----------------------
Dynamic Channel:
The Dynamic Channel section in the Multitimeframe WaveTrend indicator allows you to configure parameters related to the dynamic channel formation.
This feature helps create channels based on different smoothing averages.
Here are the details of the Dynamic Channel settings:
Channel Average 1 Type: This parameter allows you to select the type of smoothing average for the first channel average.
Length 1: This setting determines the length or period of the first channel average.
Channel Average 2 Type: This parameter allows you to select the type of smoothing average for the second channel average.
Length 2: This setting determines the length or period of the second channel average.
MA 1 / MA 2 Mix Factor: This parameter controls the mixing factor between the first and second channel averages. It affects the weighting or blending of the two averages.
Mixing Off Dynamic in Weight: This parameter allows you to mix off the dynamic in weight.
Smoothing Type: This parameter allows you to select the type of smoothing for the trend within the dynamic channel.
Smoothing Length: This setting determines the length or period of the trend smoothing within the dynamic channel.
The Dynamic Channel settings enable you to create channels based on different smoothing averages and adjust the weighting between them. Additionally, you can apply further smoothing to the trend within the dynamic channel. This feature helps identify trends and potential trade opportunities within the channel.
----------------------
Speed of Change Rate:
The Speed of Change Rate section in the Multitimeframe WaveTrend indicator allows you to configure parameters related to the rate of change in the indicator. Here are the details of the Speed of Change Rate settings:
Plot Speed (plot_speed): This setting determines whether to plot the speed of change on the chart.
Speed Scaling (change_factor): This parameter adjusts the scaling factor for the speed of change.
Speed Smoother (smoothtype_change): This parameter allows you to select the type of smoothing average for the speed of change calculation.
Speed Length (change_length): This setting determines the length or period of the speed of change calculation.
The Speed of Change Rate settings provide insights into the rate at which the indicator values are changing. By visualizing and analyzing the speed of change, you can identify potential acceleration or deceleration in the price movement.
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Signal Main Configuration:
The Signal Main Configuration section in the Multitimeframe WaveTrend indicator allows you to configure parameters related to the signal input and passthrough. Here are the details of the Signal Main Configuration settings:
Signal Type (inputtype): This parameter determines the type of signal input. You have options such as MultiBit and NoInput.
Select L1 Indicator Signal (inputModule): This parameter allows you to select the source of the L1 indicator signal. You can choose any valid input source, such as the closing price or another indicator.
Signal Passthrough (Passthrough): This setting enables or disables the passthrough of the signal. When enabled, the indicator passes the input signal to the output.
The Signal Main Configuration settings allow you to define the type of signal input and control whether to pass the signal through the indicator or not. This feature provides flexibility in integrating the indicator with other trading strategies or indicators.
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Multibit Modified Channel:
The Multibit Modified Channel section in the Multitimeframe WaveTrend indicator allows you to configure parameters related to the modified channel based on the multibit input. Here are the details of the Multibit Modified Channel settings:
Input Bull (CH_Trendup_in): This parameter allows you to specify the input channel for bullish signals.
Bull Offset (trendfactorbull): This setting determines the offset for the bullish signals in the modified channel.
Input Bear (CH_Trenddown_in): This parameter allows you to specify the input channel for bearish signals.
Bear Offset (trendfactorbaer): This setting determines the offset for the bearish signals in the modified channel.
The Multibit Modified Channel settings enable you to modify the channel based on the multibit input. By specifying the input channels for bullish and bearish signals and adjusting the respective offsets,
you can customize the channel representation based on your trading strategy.
Multibit Output:
The Multibit Output section in the Multitimeframe WaveBuilder indicator allows you to configure parameters related to the output of the multibit signals and alerts. Here are the details of the Multibit Output settings:
Output Bull (CH_Buy_out): This parameter specifies the output channel for bullish signals.
Output Bear (CH_Sell_out): This parameter specifies the output channel for bearish signals.
Show Alerts (showalerts): This setting determines whether to display alert notifications for the multibit signals.
The Multibit Output settings define the output channels for bullish and bearish signals and control the display of alert notifications. This allows you to visualize and receive alerts for the multibit signals generated by the indicator.
----------------
Here a overview from the settings
--------------------------------
The pipeline of the WaveBuilder can be understood in the following structured manner:
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Wave Calculation:
Wave calculation is performed using the input parameters, resulting in wave values.
The wave values are then averaged using Average 1 and Average 2, and the weighted average is obtained.
The weighted average is mixed with other factors to create a mixed value.
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Channel Formation:
The mixed value is multiplied by a weight to generate a dynamic part.
The dynamic part is combined with the static channel and the multibit modification to form a base value.
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Smoothing and Mixing:
The base value is averaged using Average 1 and Average 2, and the weighted average is calculated.
The mixed2 value is obtained by smoothing the weighted average.
The mixed2 value is further processed using power compression (POW) to refine the output.
----------
Plotting:
The final smoothed and processed values are plotted to visualize the indicator on the chart.
By following this pipeline, the WaveBuilder combines wave calculations, channel formation, smoothing techniques, and power compression to provide valuable insights into market trends and potential trading opportunities.
--------------------------------
Librarys used:
djmad/Signal_transcoder_library
djmad/MAD_MATH
djmad/Mad_Standardparts
Moving Average Resting Point [theEccentricTrader]█ OVERVIEW
This indicator uses peak and trough prices to calculate the moving average resting point and plots it as a line on the chart. The lookback length is variable and the indicator can plot up to three lines with different lookback lengths and colors.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a high price equal to or above the price it opened.
• A red candle is one that closes with a low price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Support and Resistance
• Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further.
• Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further.
Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level , with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level , with the expectation that the price will drop back down.
It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. As can be seen in the example above, the first swing high or swing low will set the course for the sequence of wave cycles that follow; a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Wave Length
Wave length is here measured in terms of bar distance between the start and end of a wave cycle. For example, if the current wave cycle ends on a swing low the wave length will be the difference in bars between the current swing low and current swing high. In such a case, if the current swing low completes on candle 100 and the current swing high completed on candle 95, we would simply subtract 95 from 100 to give us a wave length of 5 bars.
Average wave length is here measured in terms of total bars as a proportion as total waves. The average wavelength is calculated by dividing the total candles by the total wave cycles.
Wave Height
Wave height is here measured in terms of current range. For example, if the current peak price is 100 and the current trough price is 80, the wave height will be 20.
Amplitude
Amplitude is here measured in terms of current range divided by two. For example if the current peak price is 100 and the current trough price is 80, the amplitude would be calculated by subtracting 80 from 100 and dividing the answer by 2 to give us an amplitude of 10.
Resting Point
The resting point is here calculated by subtracting the current trough price from the current peak price and adding the difference to the current trough price to output the price in the middle of the two prices. Essentially it is the current trough price plus the amplitude. For example, if the current peak price is 100 and the current trough price is 80, the resting point 90.
The moving average resting point is here calculated by subtracting the moving average trough price from the moving average peak price, dividing the answer by two and adding the difference to the moving average trough price.
Frequency
Frequency is here measured in terms of wave cycles per second (Hertz). For example, if the total wave cycle count is 10 and the amount of time it has taken to complete these 10 cycles is 1-year (31,536,000 seconds), the frequency would be calculated by dividing 10 by 31,536,000 to give us a frequency of 0.00000032 Hz.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
█ FEATURES
Inputs
Show MARP 1
Show MARP 2
Show MARP 3
MARP 1 Length
MARP 2 Length
MARP 3 Length
MARP 1 Color
MARP 2 Color
MARP 3 Color
█ HOW TO USE
This indicator can be used like any other moving average indicator to analyse trend direction and momentum, identify potential support and resistance levels, or for filtering trading strategies and developing new ones.
Cyclic Smoothed RSI with Motive-Corrective Wave Indicator
This indicator uses the cyclic smoothed Relative Strength Index (cRSI) instead of the traditional Relative Strength Index (RSI). See below for more info on the benefits to the cRSI.
My key contributions
1) A Weighted Moving Average (WMA) to track the general trend of the cRSI signal. This is very helpful in determining when the equity switches from bullish to bearish, which can be used to determine buy/sell points. This is then is used to color the region between the upper and lower cRSI bands (green above, red below).
2) An attempt to detect the motive (impulse) and corrective and waves. Corrective waves are indicated A, B, C, D, E, F, G. F and G waves are not technically Elliot Waves, but the way I detect waves it is really hard to always get it right. Once and a while you could actually see G and F a second time. Motive waves are identified as s (strong) and w (weak). Strong waves have a peak above the cRSI upper band and weak waves have a peak below the upper band.
3) My own divergence indicator for bull, hidden bull, bear, and hidden bear. I was not able to replicate the TradingView style of drawing a line from peak to peak, but for this indicator I think in the end it makes the chart cleaner.
There is a latency issue with an indicator that is based on moving averages. That means they tend to trigger right after key events. Perfect timing is not possible strictly with these indicators, but they do work very well "on average." However, my implementation has minimal latency as peaks (tops/bottoms) only require one bar to detect.
As a bit of an Easter Egg, this code can be tweaked and run as a strategy to get buy/sell signals. I use this code for both my indicator and for trading strategy. Just copy and past it into a new strategy script and just change it from study to a strategy, something like this:
strategy("cRSI + Waves Strategy with VWMA overlay", overlay=overlay)
The buy/sell code is at the end and just needs to be uncommented. I make no promises or guarantees about how good it is as a strategy, but it gives you some code and ideas to work with.
Tuning
1) Volume Weighted Moving Average (VWMA): This is a “hidden strategy” feature implemented that will display the high-low bands of the VWMA on the price chart if run the code using “overlay = true”.
- If the equity does not have volume, then the VWMA will not show up. Uncheck this box and it will use the regular WMA (no volume).
- defines how far back the WMA averages price.
2) cRSI (Black line in the indicator)
- Increase to length that amount of time a band (upper/lower) stays high/low after a peak. Reduce the value to shorten the time. Just increment it up/down to see the effect.
- defines how far back the SMA averages the cRSI. This affects the purple line in the indicator.
- defines how many bars back the peak detector looks to determine if a peak has occurred. For example, a top is detected like this: current-bar down relative to the 1-bar-back, 1-bar-back up relative to 2-bars-back (look back = 1), c) 2-bars-back up relative to 3-bars-back (lookback = 2), and d) 3-bars-back up relative to 4-bars-back (lookback = 3). I hope that makes sense. There are only 2 options for this setting: 2 or 3 bars. 2 bars will be able to detect small peaks but create more “false” peaks that may not be meaningful. 3 bars will be more robust but can miss short duration peaks.
3) Waves
- The check boxes are self explanatory for which labels they turn on and off on the plot.
4) Divergence Indicators
- The check boxes are self explanatory for which labels they turn on and off on the plot.
Hints
- The most common parameter to change is the . Different stocks will have different levels of strength in their peaks. A setting of 2 may generate too many corrective waves.
- Different times scales will give you different wave counts. This is to be expected. A counter impulse wave inside a corrective wave may actually go above the cRSI WMA on a smaller time frame. You may need to increase it one or two levels to see large waves.
- Just because you see divergence (bear or hidden bear) does not mean a price is going to go down. Often price continues to rise through bears, so take note and that is normal. Bulls are usually pretty good indicators especially if you see them on C,E,G waves.
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cyclic smoothed RSI (cRSI) indicator
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The “core” code for the cyclic smoothed RSI (cRSI) indicator was written by Lars von Theinen and is subject to the terms of the Mozilla Public License 2.0 at mozilla.org Copyright (C) 2017 CC BY, whentotrade / Lars von Thienen. For more details on the cRSI Indicator:
The cyclic smoothed RSI indicator is an enhancement of the classic RSI, adding
1) additional smoothing according to the market vibration,
2) adaptive upper and lower bands according to the cyclic memory and
3) using the current dominant cycle length as input for the indicator.
It is much more responsive to market moves than the basic RSI. The indicator uses the dominant cycle as input to optimize signal, smoothing, and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Decoding The Hidden Market Rhythm - Part 1: Dynamic Cycles (2017), Chapter 4: "Fine-tuning technical indicators." You need to derive the dominant cycle as input parameter for the cycle length as described in chapter 4.
Hope this helps and good luck.
PSWave‴ | Price Spread Wave‴What does it do?
This indicator allows you to identify possible top and bottom reversals by having a prior Spread Price Volume reversal identifiable by positive (top reversal) and negative (bottom reversal) waves.
How does it work?
Everytime the wave starts ending its movement by shrinking the size of the histogram bars, it might be signing that a price reversal is on its way. It is possible to adjust the wave shape by increasing/decreasing its gradient value analysis, but it's so easy to use that most of the times no reconfiguration is needed, just add it and let it guide you.
What's my filling?
I've been testing this indicator for weeks and so far with incredible reversal signals specially if working in conjunction with Volume Wave (VolWave).
Indicator attributes:
- generally waves formation makes a symmetrical arc
- when the second half of a wave is elongated (compared to its first half), it suggests a lack of directional force of the current movement
- peak / bottom formation suggests reversal of the current movement
- smaller amplitude of a wave (compared to the previous wave) suggests loss of power, and vice-verse
- indicates divergence indication between peaks / bottoms
- when the volume bar touches the volume wave band, it suggests imminent reversal of the current movement
- band opening suggests movement increasing strength in that direction
- wavelengths (distance between two peaks / bottoms) tend to be similar
- subsequent wave rarely occurs
Technical information:
- the calculation of the positive movement is independent of the calculation of the positive movement
- the black line in the upper and lower zone is the average of the wave that is overcome, suggests strength in movement
- bands suggest delimitation of a wave's peak / bottom
To have access to this indicator, please DM me.
Don't contact me in the comment area.
[blackcat] L1 Elliott Wave3 CatcherLevel: 1
Background
Elliott wave theory is a method of technical analysis that looks for recurring long-term price patterns that are related to persistent changes in investor sentiment and psychology. The theory identifies waves that are identified as impulse waves that form a pattern and corrective waves that counteract the larger trend.
Function
L1 Elliott Wave3 Catcher is trying to observe Elliott wave more clear with different color candles.
Key Signal
var7 --> bull reveral signal which exists along motive wave
var7-var9 --> long in green color; short in red color; retracement in fuchsia color
var26/27/28 --> they are used for wave swing low detection and long entry
Pros and Cons
Pros:
1. Exhibit Elliott waves in different color candles
2. Highlight motive wave with yellow candles
3. Detect bottom and long entry points
Cons:
1. No complete long and short entries can be obtained
2. It cannot be applied for crypto due to lack of financial() functions
Remarks
Tribute to Elliott
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.
Weis Pip Wave jayyWhat you see here is the Weis pip wave. The Weis pip wave shows how far in price a Weis wave has traveled through the duration of a Weis wave. The Weis pip wave is used in combination with the Weis cumulative volume wave. The two waves must be set to the same "wave size" and using the same method as described by Weis.
Using the traditional Weis method simply enter the desired wave size in the box "Select Weis Wave Size". In the example shown, it is set to 5 points. Each wave for each security and each timeframe requires its own wave size. Although not the traditional method a more automatic way to set wave size would be to use ATR. This is not the true Weis method but it does give you similar waves and, importantly, without the hassle of selecting a wave size for every chart. Once the Weis wave size is set then the pip wave will be shown.
I have put a zigzag of a 5 point Weis wave on the above bar chart. I have added it to allow your eye to get a better appreciation for Weis wave pivot points. You will notice that the wave is not in straight lines connecting wave tops to bottoms this is a function of the limitations of Pinescript version 1. This script would need to be in version 4 to allow straight lines. I will elaborate on the Weis pip zigzag script.
What is a Weis wave? David Weis has been recognized as a Wyckoff method analyst he has written two books one of which, Trades About to Happen, describes the evolution of the now popular Weis wave. The method employed by Weis is to identify waves of price action and to compare the strength of the waves on characteristics of wave strength. Chief among the characteristics of strength is the cumulative volume of the wave. There are other markers that Weis uses as well for example how the actual price difference between the start of the Weis wave from start to finish. Weis also uses time, particularly when using a Renko chart. Weis specifically uses candle/bar closes to define all wave action.
David Weis did a futures.io video which is a popular source of information about his method.
Cheers jayy
PS This script was published a day ago, however, I had included some links to the website of a person that uses Weis pip waves and also a dropbox link that contains the Weis wave chart for May 27, 2020, published by David Weis. Providing those links is against TV policy and so the script was hidden by TV. This is the identical script with the identical settings but without the offending links. If you want to see the pip Weis method in practice then search Weis pip wave. I have absolutely no affiliation. If you want to see Weis chart in pdf then message me and I will give a link or the Weis pdf. Why would you want to see the Weis chart for May 27, 2020? Merely to confirm the veracity of my algorithm. You could compare my chart () from the same period to the Weis chart. Both waves are for the ES!1 4 hour chart and both for a wave size of 5.
Any Problems with ELLIOTT WAVES? Here my secret to count the EW!Hi at all!
Have someone any problems to count the Elliott Waves correctly? Then use my modified indicator.
The indicator shows a fast and a slow RSI oscillator.
I use this indicator to find the 3. wave on any big wave -> so I can find always trend wave und can indicate with that than the correction wave.
I set an example on the chart, so you can look at the peaks the RSI oscillator shows. The highest peak show the 3. wave of Elliott Waves. If you know the 3. wave you can immediately see the wave 1, 2 and of course 4 and 5.
For better instruction this indicator get green and red, if the fast RSI is higher or lower than the slow RSI. This color changing helps also to see every spectrum of a wave.
UCS_TTM_Wave A & B & CThis is a replica of TTM Wave A B C.
The ABC Waves are comprised of various moving averages and oscillators (MACD) used to visualize the overall strength and direction of a given market across multiple time frames.
The “A Wave” measures short term relative strength and direction of a market, the “C Wave” measures longer term strength and the “B Wave” plots the same for a medium time period.
Here is the link to the ACTUAL Indicator - members.simpleroptions.com
Instruction -
Load the Indicator three times, Turn Off the Other two Waves. For eg., Wave A - Check / Wave B - Uncheck / Wave C - Uncheck. = This will plot Wave A.
Weierstrass Function (Fractal Cycles)THE WEIERSTRASS FUNCTION
f(x) = ∑(n=0)^∞ a^n * cos(b^n * π * x)
The Weierstrass Function is the sum of an infinite series of cosine functions, each with increasing frequency and decreasing amplitude. This creates powerful multi-scale oscillations within the range ⬍(-2;+2), resembling a system of self-repetitive patterns. You can zoom into any part of the output and observe similar proportions, mimicking the hidden order behind the irregularity and unpredictability of financial markets.
IT DOESN’T RELY ON ANY MARKET DATA, AS THE OUTPUT IS BASED PURELY ON A MATHEMATICAL FORMULA!
This script does not provide direct buy or sell signals and should be used as a tool for analyzing the market behavior through fractal geometry. The function is often used to model complex, chaotic systems, including natural phenomena and financial markets.
APPLICATIONS:
Timing Aspect: Identifies the phases of market cycles, helping to keep awareness of frequency of turning points
Price-Modeling features: The Amplitude, frequency, and scaling settings allow the indicator to simulate the trends and oscillations. Its nowhere-differentiable nature aligns with the market's inherent uncertainty. The fractured oscillations resemble sharp jumps, noise, and dips found in volatile markets.
SETTINGS
Amplitude Factor (a): Controls the size of each wave. A higher value makes the waves larger.
Frequency Factor (b): Determines how fast the waves oscillate. A higher value creates more frequent waves.
Ability to Invert the output: Just like any cosine function it starts its journey with a decline, which is not distinctive to the behavior of most assets. The default setting is in "inverted mode".
Scale Factor: Adjusts the speed at which the oscillations grow over time.
Number of Terms (n_terms): Increases the number of waves. More terms add complexity to the pattern.
MACD Fake Filter [RH]Introducing a new indicator for the TradingView community based on the MACD indicator! This innovative tool goes beyond traditional MACD signals by analyzing positive and negative waves to determine the average height of the waves to filter false cross-over or cross-under signals during the sideways market.
There are two types of waves created by the MACD line, one is a positive wave above the "zero" line and another is a negative wave below "zero" line. Each wave has peaks. This indicator will find the average height of the positive waves' peaks and plot as a green line(by default). Vice-versa it will also find the average height of the negative waves' peaks and plot as a red line(by default).
Example :
This indicator will show labels when the MACD line crosses-under the MACD signal line above the average height of the positive waves.
Vice-versa, the indicator will show labels when the MACD line crosses-above the MACD signal line below the average height of the negative waves.
Example:
Alerts are also available for these types of cross-over and cross-under.
GKD-V Weis Wave [Loxx]Giga Kaleidoscope GKD-V Weis Wave is a Volatility/Volume module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines , channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility . There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility ; e.g., Average True Range , True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility / Volume - a technical indicator used to identify volatility / volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR ( Average True Range ) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility . As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double ( TRD ), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index ( RSI ), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index ( RSI ).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands , the MACD (Moving Average Convergence Divergence), and the Stochastic Oscillator. These indicators can provide information about the volatility , momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility / Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow ( CMF ), or the Volume Price Trend ( VPT ), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index . Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index ( RSI ), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR , the Average Directional Index ( ADX ), and the Chandelier Exit .
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module ( Volatility , Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility / Volume , Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility / Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility / Volume . The Volatility / Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility , and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Weis Wave as shown on the chart above
Confirmation 1: Vortex
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility / Volume Agrees
█ GKD-C Weis Wave
What is Weis Wave?
The Weis Wave Indicator is a technical analysis tool used by traders to analyze market trends and identify potential turning points in financial markets. It was developed by David Weis, a trader and market analyst with over 45 years of experience.
The Weis Wave Indicator is based on the principles of market waves, which are the repetitive patterns of market behavior that occur in financial markets. These waves are characterized by price movements that occur in a series of up and down trends, and they are used by traders to identify potential market reversals or breakouts.
The Weis Wave Indicator is a histogram that represents the difference between the cumulative sum of the bullish and bearish waves. The indicator is plotted on a chart as a series of bars that change color depending on the direction of the market trend. If the market is trending up, the bars will be green, while if the market is trending down, the bars will be red.
The formula for the Weis Wave Indicator is based on the accumulation and distribution of volume over time. It uses a cumulative delta volume calculation to determine the strength of market trends and identify potential turning points. The formula is as follows:
Weis Wave Volume = Net Buying Volume - Net Selling Volume
The Weis Wave Indicator is used by traders to identify potential market trends and turning points. It is particularly useful in identifying market breakouts and reversals, as well as in detecting divergences between price and volume. The indicator is commonly used in conjunction with other technical analysis tools, such as moving averages, trend lines, and support and resistance levels, to confirm market trends and generate trading signals.
Specifically, the Weis Wave Volume Indicator is an oscillator that measures the volume of price changes. It combines both momentum and volume to indicate buying and selling pressure. The indicator is designed to show a bull market when the volume is increasing and the price is rising, and a bear market when the volume is decreasing and the price is falling ¹.
The Weis Wave Plugin creates wave charts along with their corresponding wave volume. Wave charts were first created by Richard D. Wyckoff. In his famous course on stock market technique, he instructed students to “think in waves.” Wave analysis was an integral part of his trading method. The Weis Wave is an adaptation of Wyckoff’s method that handles today’s volatile markets ².
This indicator has the option of either ATR, volume, or partial close for source input.
(1) Weis Wave Volume Indicator - Trend Following System. www.trendfollowingsystem.com Accessed 4/7/2023.
(2) Weis Wave Plugin: A Modern Adaptation of the Wyckoff Wave & Volume. weisonwyckoff.com Accessed 4/7/2023.
(3) Weis Wave Volume Indicator: Simple But Extremely Effective. howtotradeblog.com Accessed 4/7/2023.
(4) How to use the Weis Waves indicator in ATAS. atas.net Accessed 4/7/2023.
Requirements
Inputs
Chained: GKD-B Baseline
Solo: NA, no inputs
Baseline + Volatility/Volume: GKD-B Baseline
Outputs
Chained: GKD-C indicators Confirmation 1 or Solo Confirmation Complex
Solo: GKD-BT Backtest
Baseline + Volatility/Volume: GKD-BT Backtest
Additional features will be added in future releases.
Direction Analysis WavesDescription
It is an indicator that aims to provide information about the direction of the trend, the basis of which is the CCI, CMO and MFI indices.
Symbols on the indicator are for informational purposes. Information about colors and symbols is given below.
Blue Wave: Graphical representation of the Commodity Channel Index (CCI) curve.
Green/Red Wave: Graphical representation of the Chande Momentum Oscillator (CMO) curve. This curve turns green when it rises above zero, and turns red when it falls below zero.
Yellow Wave: Graphical representation of the Money Flow Index (MFI) curve.
Blue Line: CCI line.
Green/Red Cross: CCI line shows green cross on red cross below 0 value.
Warning
As a result, this indicator should be expected to give an idea of the trend direction, not a trading signal.
Version
v1.0
