GA - Trend WavesIntroduction
GA - Trend Waves (GA Waves) is a Trend Productivity Tool.
Its main purpose is to follow the trend for its entire duration, marking trend variations.
Besides, it highlights Buying and Selling Waves, and Wave Segments.
GA Waves plots the beginning of Buying and Selling Waves, including Wave Segments. It can favor the Main Trend or the Buying-Selling Wave.
This means that the Algorithm can highlight Waves Segments favoring the trend continuation. In the same way, it can highlight Wave Segments riding any wave for its entire duration.
The core of the tool is a set of mathematical functions that discretize the market behavior. These functions define the trend progression and its variations. They discretize buying-selling waves and their wave segments, for short-term and long-term tracking.
As well, the Algorithm includes the strengthens and weakness in the Bullish-Bearish Momentum.
By default, GA Trend Waves shows a colored envelope. It is around a particular curve that discretizes the main trend.
This curve is the Underlying Trend. It is not slow and it follows the trend changes with a high accuracy. The curve is green when the trend is bullish. Instead, the red color marks the curve when the trend is bearish.
The envelope around the underlying trend curve is a control tool. It has 2 important uses:
1 - It defines volatility boundaries on the Underlying Trend. The Algorithm uses these boundaries to reduce the uncertainty.
2 - It shows green and red areas highlighting Buying and Selling Waves in the trend.
Together with the Underlying Trend there is the Overlying Trend. By default, it is not visible on the chart. But it colors the price line.
The Overlying Trend is a short-term curve. It is very fast. The Algorithm uses this curve to define Wave Segments.
The Overlying Trend follows the segmentation of a buying-selling wave with high accuracy.
This accuracy is possible because each curve formula includes weighted moving averages. Each formula uses a recursive application of weighted moving averages.
Overlying and Underlying Trend takes advantages from the calculation of weighted moving averages. The advantage is the high precision even with a very short period.
Then, Overlaying and Underlying Trends are fast curves. They fit at the best their respective trend variations.
The Overlying Trend and the Underlying Trend with its envelope are Stochastic Series.
GA Trend Waves itself does not trigger an entry or an exit. But its indications highlight beginning, continuation, and ending of Buying-Selling Waves. This happens considering also the Trend Momentum and the Price Extension.
Buying-Selling Wave IN Points are the discretization of the trend variations. They show how Accumulation-Distribution Points sustain a Bullish or a Bearish Trend. These particular points mark the beginning of the new wave. In the same way, they show also the ending of the previous wave.
Buying-Selling Wave Segments are discretization of the wave variations. They show strength and weakness of the wave, changing the price line color by green or red. Besides, the Algorithm highlights Wave Segments that favor the continuation of the wave.
The user can choose to plot indications of Buying-Selling Wave Segments in 2 ways:
1 - Following the Trend Momentum.
2 - Following the Buying-Selling Wave.
For a fast trading, the user can get advantage from the opportunities that the wave can offer. But for the purpose to follow the trend, the user can ride waves, according to the trend direction.
The Overlying Trend discretize the Wave Segments, from the beginning to the end of the Wave. Instead, the Underlying Trend discretize the Bullish-Bearish Trend and its momentum.
GA Trend Waves on the Chart Pane - Main Features
GA Trend Waves in its Pane
-
Important Note
The GA Trend Waves purpose is to understand the nature of trend activity. If there is no trend, it would not be useful.
But GA Waves is an adaptive tool. It can work following Buying Waves and Selling Waves in the development of a Trading Area. Then, if the trading area is large enough, in relation to the contest, it can show relevant wave segments.
In any case, Traders should not attempt to make it work in conditions to which it does not work at the best. In this condition, the experience of the trader is the most valuable tool.
I restrict access to the tool. Use the links in my signature field to gain access to the script. Feel free to send me a PM for any question.
-
Buying-Selling Wave IN Point
GA Waves Algorithm uses a stochastic process to determinate Buying-Selling Wave IN Points. This function has a fast reaction to the trend waves. This is possible because it considers acceleration and deceleration in cyclical time patterns.
The stochastic series returns the beginning of each new wave. But the beginning of a wave is also the ending of the previous wave. Then, following a buying-selling wave, usable for trading, it shows when to exit the market.
Instead, enter the market depends on the wave conditions. Then, the Buying-Selling Wave IN Point is not enough to decide to enter the market. More parameters are necessary.
Bullish-Bearish Wave Segments
The beginning of a Wave Segment highlights the continuation of the wave. The Overlying Trend discretizes the Wave Segmentation. The Algorithm plots the wave segments on the price line. This happens coloring the curve with green or red.
GA Waves highlights the beginning of a Wave Segment according to specific conditions. The visible result is the plotting of relevant points in the chart to show the continuation of the wave. If the Price Extension is too big, the Algorithm skips to plot the wave segments that carries high risk.
Overlying and Underlying Trend Changes and Confirmation
GA Waves highlights changes of the trend using Line, Line Break, Step Line, Circles, and Crosses. The use of Line, Line Break, Step Line, and so on, marks the turning points. In particular, the Underlying Trend confirms the change of the Trend. This changing becomes useful to decide the type of investment to do and pyramiding.
Overlying and Underlying Trend with Envelope
Step Line highlighting Directions and Changes in Underlying and Overlying Trends
-
Note: I restrict access to the tool. Use the links in my signature field to gain access to the script. Feel free to send me a PM for any question.
Thank you
Girolamo Aloe
Founder of Profiting Me Finance Analytics
-
Disclaimer
Nobody in Girolamo Aloe websites and trading view profile is a Financial Advisor. Nothing therein is intended to be constructed as Financial Advice. The content on his websites is for information and educational purposes only.
Trading carries high risk. You should not invest money that you cannot afford to lose. Past performance is not an indication of future results.
In den Scripts nach "wave" suchen
Pulse FlowPulse Flow is a market structure indicator that extracts the hidden rhythm of price. It combines micro-structure detection with a rule-based trend engine, making waves and turning points visible in real time. Instead of drawing swings by hand or guessing breakouts, Pulse Flow enforces strict, objective rules for what counts as structure.
What it shows
Micro-Structure (Fractals): Internal swings are extracted from baseline crosses (EMA or ALMA). These fractals show how price oscillates inside the wave, providing context for micro pullbacks and internal breaks.
Trend (HH, HL, LH, LL): Pulse Flow uses a finite state machine (FSM) to track the current trend. Every trend represents a wave.
- Confirmed higher highs and higher lows define bullish waves.
- Confirmed lower highs and lower lows define bearish waves.
- When a wave breaks, a new wave begins. Turning points are explicitly marked as WH (wave high) and WL (wave low).
Active Range (RL & RH): The indicator continuously maintains the current range, based on closing prices rather than wicks. This ensures consistent behavior during liquidity events, where extremes are often tested intrabar.
Retracement Levels (0.50 & 0.71): Inside each active range, Pulse Flow plots the midrange and the 0.71 “optimal entry zone,” highlighting areas where pullbacks most often react.
Breakout Confirmation: A breakout is only valid if:
- The close extends beyond RL or RH by at least an ATR-based threshold.
- A second candle confirms the move.
This filters false signals and ensures structural integrity.
How it helps
Pulse Flow helps traders by taking the guesswork out of structure. Instead of debating whether a high or low should count, the indicator applies objective rules and marks every confirmed swing directly on the chart. Each wave is highlighted the moment the trend flips, so you always see where the market has turned and which direction the active wave is heading. The internal fractal structure reveals how price moves within the range, while the explicit HH, HL, LH, and LL points define the external trend. This distinction allows you to make tactical decisions on internal breaks and strategic decisions on external breaks, giving you clarity across timeframes. Because ranges are calculated using closing prices, the levels remain stable even when liquidity sweeps occur, making the indicator reliable in volatile markets. Combined with automatically plotted retracement levels, you gain a consistent framework for spotting likely reaction zones without redrawing lines or relying on subjective judgment.
How it works
Under the hood, Pulse Flow combines two engines. The pivot engine extracts micro swings by tracking how price crosses a baseline, which can be either EMA or ALMA, depending on your settings. Each cross defines a candidate high or low, and together these pivots form the fractal zigzag that represents the market’s micro-structure. On top of this, a finite state machine manages the active range. It tracks the range high and range low, validates breakouts only when price closes beyond these levels with ATR-based confirmation, and waits for a pullback before locking in the new structure. When the FSM confirms a new trend, Pulse Flow explicitly marks the turning point as a wave high or wave low. In this way, every confirmed HH, HL, LH, and LL is not a guess but the logical outcome of strict structural rules. The interaction between pivots and the FSM creates a complete and consistent map of the market’s waves, from micro oscillations to macro trend shifts.
Summary
Pulse Flow extracts micro-structure, defines waves, and highlights turning points. It shows the active range with key retracement levels and confirms breakouts with ATR + candle logic. By using closing prices to define RL/RH, it stays consistent even through liquidity sweeps.
For traders who trade based on structure, Pulse Flow is not just another tool. It is a framework: a rule-based map of how markets actually move in waves.
Fundur - Market Sentiment BIndicator Overview
The Market Sentiment B indicator is a sophisticated multi-timeframe momentum oscillator that provides comprehensive market analysis through advanced wave theory and sentiment measurement. Unlike traditional single-timeframe indicators, Market Sentiment B analyzes 11 different timeframes simultaneously to create a unified view of market momentum and sentiment.
What Makes Market Sentiment B Unique
Multi-Timeframe Convergence : The indicator combines data from 11 different periods (8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987) based on mathematical sequences that naturally occur in market cycles.
Advanced Wave Analysis : The histogram component tracks momentum waves with precise peak and trough identification, allowing traders to spot both major moves and smaller precursor waves.
Sentiment Extremes Detection : When all 11 timeframes reach extreme levels simultaneously, the indicator highlights these rare conditions with background coloring, signaling potential major reversals.
Dynamic Zone Analysis : The indicator divides market conditions into Premium (80+), Discount (20-), and Liquidity zones (40-60), providing clear context for trade entries and exits.
Core Components
1. Market Sentiment B Line (Main Signal)
The primary oscillator line that represents the averaged sentiment across all timeframes. This line uses advanced mathematical filtering to smooth out noise while preserving important trend changes.
Key Features:
Oscillates between 0-100
Color-coded: Green when rising, Red when falling
Shows divergences with colored dots
Premium zone: 80+, Discount zone: 20-
2. Momentum Waves (Secondary Signal)
A smoothed version of the Market Sentiment B line that acts as a trend-following component. This line helps identify the underlying momentum direction.
Key Features:
Blue coloring during bullish expansion (above 50 and rising)
Orange coloring during bearish expansion (below 50 and falling)
Filled areas show expansion and contraction phases
Critical 50-line crossovers signal momentum shifts
3. Histogram (Wave Analysis)
The difference between Market Sentiment B and Momentum Waves, displayed as a histogram that reveals the relationship between current sentiment and underlying momentum.
Key Features:
Green bars: Positive momentum (Market Sentiment above Momentum Waves)
Red bars: Negative momentum (Market Sentiment below Momentum Waves)
Wave height labels show the strength of each wave
Divergence patterns identify potential reversals
4. Divergence System
Advanced divergence detection that identifies both regular and hidden divergences, with special "Golden Divergences" for the strongest signals.
Types:
Regular Divergences : Price makes new highs/lows while indicator doesn't
Hidden Divergences : Continuation patterns in trending markets
Golden Divergences : High-probability reversal signals (orange dots)
5. Zone Analysis
The indicator divides market conditions into distinct zones:
Premium Zone (80-100) : Potential selling area
Liquidity Zone (40-60) : Neutral/consolidation area (highlighted in orange)
Discount Zone (0-20) : Potential buying area
Extreme Conditions : Background coloring when all timeframes align
Setup Guide
Initial Installation
Open TradingView and navigate to your desired chart
Click the "Indicators" button or press "/" key
Search for "Fundur - Market Sentiment B"
Click on the indicator to add it to your chart
The indicator will appear in a separate pane below your chart
Essential Settings Configuration
Main Settings
Show Histogram Wave Values : Enable to see wave strength numbers
Wave Value Text Size : Choose from tiny, small, normal, or large
Wave Label Offset : Adjust label positioning (default: 2)
Market Sentiment Thresholds
Only Show Indicators at Market Sentiment Extremes : Filter signals to extreme zones only
Extreme levels are automatically set at 80 (high) and 20 (low)
Small Wave Strategy
Enable Small Wave Swing Strategy : Focus on smaller, early-warning waves
Small Wave Label Color : Customize the color for small wave labels
Divergence Analysis
Show Regular Divergences : Enable standard divergence detection
Show Gold Divergence Dots : Enable high-probability golden signals
Show Divergence Dots : Show all divergence markers
Histogram Settings
Enable Histogram : Toggle the histogram display
Divergence Types : Choose which types to display (Bullish/Bearish Reversals and Continuations)
Recommended Initial Setup
Enable all main components (Histogram, Divergences, Momentum Waves)
Set wave value text size to "small" for clarity
Enable golden divergence dots for premium signals
Start with all alert categories enabled, then customize based on your trading style
Basic Trading Guide
Understanding the Zones
Premium Zone Trading (80-100)
When to Consider Selling:
Market Sentiment B enters 80+ zone
Bearish divergences appear
Histogram shows weakening momentum (smaller green waves)
Background turns red (extreme conditions)
What to Look For:
Bearish pivot signals (orange triangles pointing down)
Golden divergence dots at tops
Momentum Waves turning bearish
Discount Zone Trading (0-20)
When to Consider Buying:
Market Sentiment B enters 0-20 zone
Bullish divergences appear
Histogram shows strengthening momentum (smaller red waves)
Background turns green (extreme conditions)
What to Look For:
Bullish pivot signals (blue triangles pointing up)
Golden divergence dots at bottoms
Momentum Waves turning bullish
Liquidity Zone Trading (40-60)
Consolidation and Breakout Zone:
Orange-filled area indicates neutral sentiment
Wait for clear breaks above 60 or below 40
Use for range-bound trading strategies
Look for momentum wave direction changes
Key Signal Types
1. Zone Crossovers
Above 60 : Bullish momentum building
Below 40 : Bearish momentum building
50-line crosses : Primary trend changes
2. Divergence Signals
Golden dots : Strongest reversal signals that align accross different timeframes
Colored dots : Standard divergence warnings
Hidden divergences : Trend continuation signals
3. Histogram Patterns
Increasing green bars : Building bullish momentum
Increasing red bars : Building bearish momentum
Smaller waves : Early warning signals of deteriorating interest
Basic Entry Rules
Long Entries
Market Sentiment B in discount zone (0-20) OR
Bullish divergence confirmed OR
Break above 40 from oversold conditions OR
Golden divergence dot at bottom
Short Entries
Market Sentiment B in premium zone (80-100) OR
Bearish divergence confirmed OR
Break below 60 from overbought conditions OR
Golden divergence dot at top
Exit Rules
Exit longs when entering premium zone
Exit shorts when entering discount zone
Close positions on opposite divergence signals
Use histogram wave tops/bottoms for fine-tuning exits
Advanced Analysis Setups
Setup 1: Scalping Configuration
Purpose : Quick intraday trades focusing on small moves
Settings :
Enable Small Wave Strategy
Show indicators only at extremes: OFF
Combine multiple alerts: ON
Focus on 1-5 minute timeframes
Signals to Watch :
Small wave histogram peaks/troughs
Quick zone crossovers (40/60 line breaks)
Momentum wave direction changes
Short-term divergences
Setup 2: Swing Trading Configuration
Purpose : Medium-term trend following and reversal trading
Settings :
Show indicators only at extremes: ON
Enable all divergence types
Focus on 15-minute to 4-hour timeframes
Golden divergence alerts: HIGH priority
Signals to Watch :
Premium/discount zone entries
Golden divergence signals
Extreme condition backgrounds
Major histogram wave formations
Setup 3: Position Trading Configuration
Purpose : Long-term trend identification and major reversal spots
Settings :
Only alert in extremes: ON
Focus on golden divergences only
Use daily and weekly timeframes
Minimize noise with extreme filtering
Signals to Watch :
Extreme condition backgrounds (red/green)
Major golden divergence signals
Long-term momentum wave trends
Weekly/monthly zone transitions
Setup 4: Reversal Hunting Configuration
Purpose : Catching major market turns at key levels
Settings :
Enable all divergence types
Show golden divergence dots: ON
Extreme filtering: ON
Small wave strategy: OFF
Signals to Watch :
Multiple divergence confirmations
Golden divergence + extreme zones
All-timeframe extreme conditions
Major histogram wave exhaustion
Setup 5: Trend Following Configuration
Purpose : Riding momentum in established trends
Settings :
Momentum waves: HIGH priority
Hidden divergences: ON
Continuation patterns focus
Zone crossover alerts
Signals to Watch :
Momentum wave expansion phases
Hidden divergence continuations
Liquidity zone breakouts
Sustained momentum patterns
Alert System
The Market Sentiment B indicator features a comprehensive alert system with over 30 different alert types organized into logical categories.
Alert Categories
Market Sentiment B Line Alerts
Golden Divergences : Highest priority reversal signals
Standard Divergences : Regular divergence patterns
Bearish/Bullish Pivots : Momentum pivot points
Premium/Discount Zone : Zone entry/exit alerts
Extreme Conditions : Rare all-timeframe extremes
Liquidity Zone : 40-60 zone movement alerts
Momentum Waves Alerts
Premium/Discount Zones : 80+/20- level alerts
Liquidity Zone Movement : 40-60 zone alerts
Expansion Phases : Bullish/bearish expansion alerts
Direction Changes : 50-line crossover alerts
Cross Alerts : MSB vs Momentum crossovers
Histogram Alerts
State Changes : Bullish/bearish turns
Peak/Trough Detection : Wave top/bottom alerts
Divergence Alerts : Histogram-specific divergences
Hidden Divergences : Continuation pattern alerts
Smaller Wave Alerts : Early warning signals
Alert Configuration Tips
For Day Trading
Enable quick state change alerts
Focus on histogram and small wave alerts
Use combined alerts to reduce noise
Disable extreme-only filtering
For Swing Trading
Enable zone crossover alerts
Focus on divergence and pivot alerts
Use extreme-only filtering
Prioritize golden divergence alerts
For Position Trading
Enable only golden divergences and extreme conditions
Use extreme-only filtering
Focus on major zone transitions
Disable minor wave alerts
Trading Strategies
Strategy 1: Premium/Discount Zone Reversal
Setup : Wait for Market Sentiment B to reach extreme zones
Entry :
Long: Enter discount zone (0-20) with bullish divergence
Short: Enter premium zone (80-100) with bearish divergence
Exit : Opposite zone reached or momentum wave reversal
Risk Management : Stop loss at recent swing high/low
Strategy 2: Golden Divergence Power Plays
Setup : Wait for golden divergence dots to appear
Entry : Enter in direction opposite to divergence (reversal play)
Confirmation : Wait for momentum wave to confirm direction
Exit : When sentiment reaches opposite zone
Risk Management : Tight stops below/above divergent pivot
Strategy 3: Momentum Wave Trend Following
Setup : Identify strong momentum wave expansion phases
Entry : Enter on pullbacks to 50-line during expansion
Continuation : Hold while expansion phase continues
Exit : When expansion phase ends or opposite expansion begins
Risk Management : Trail stops using wave peaks/troughs
Strategy 4: Small Wave Early Entry
Setup : Enable Small Wave Strategy for early signals
Entry : Enter on small wave formations before major moves
Confirmation : Wait for main sentiment line to follow
Exit : When major wave forms or opposite signal appears
Risk Management : Quick exits if main indicator doesn't confirm
Strategy 5: Extreme Condition Contrarian
Setup : Wait for background color changes (extreme conditions)
Entry : Counter-trend when ALL timeframes are extreme
Confirmation : Look for early divergence signs
Exit : When background color disappears
Risk Management : Position size smaller due to counter-trend nature
FAQ & Troubleshooting
Frequently Asked Questions
Q: Why don't I see any signals on my chart?
A: Check if "Only Show Indicators at Market Sentiment Extremes" is enabled. If so, signals only appear when the indicator is above 80 or below 20.
Q: What's the difference between golden and standard divergences?
A: Golden divergences (orange dots) are higher-probability signals that meet additional criteria for strength and momentum alignment. Standard divergences are regular price/indicator disagreements.
Q: How do I reduce alert noise?
A: Enable "Only Alert In Extremes" in the alert settings, or use "Combine Multiple Alerts" to consolidate multiple signals into single messages.
Q: What timeframe works best with this indicator?
A: The indicator works on all timeframes. For day trading, use 1-15 minutes. For swing trading, use 1-4 hours. For position trading, use daily or weekly.
Q: Why are the histogram wave values important?
A: Wave values show the strength of momentum. Declining wave values (smaller peaks) often precede trend changes, while increasing values confirm trend strength.
Troubleshooting Common Issues
Issue: Indicator not loading
Solution: Ensure you're using TradingView Pro or higher
Check that max_bars_back is set appropriately
Refresh the chart and re-add the indicator
Issue: Too many alerts firing
Solution: Enable extreme-only filtering
Disable less important alert categories
Use combined alerts feature
Issue: Missing divergence signals
Solution: Check that divergence detection is enabled
Ensure you're looking in the correct zones
Verify that extreme filtering isn't hiding signals
Issue: Histogram not displaying
Solution: Check that "Enable Histogram" is turned ON
Verify histogram divergence types are enabled
Ensure the chart has sufficient historical data
Best Practices
Start Simple : Begin with basic zone trading before using advanced features
Paper Trade First : Test strategies with paper trading before risking capital
Combine with Price Action : Use the indicator alongside support/resistance levels
Respect Risk Management : Never risk more than you can afford to lose
Keep Learning : Market conditions change; adapt your usage accordingly
Performance Optimization
Use appropriate timeframes for your trading style
Enable only necessary alert types
Consider using extreme filtering during high-volatility periods
Regularly review and adjust settings based on market conditions
Conclusion
The Market Sentiment B indicator represents a sophisticated approach to market analysis, combining multiple timeframes, advanced wave theory, and comprehensive divergence detection into a single powerful tool. Whether you're a scalper looking for quick opportunities or a position trader seeking major reversals, this indicator provides the insights needed to make informed trading decisions.
Remember that no indicator is perfect, and the Market Sentiment B should be used as part of a comprehensive trading plan that includes proper risk management, fundamental analysis awareness, and sound money management principles.
Happy Trading!
Disclaimer: Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. Always practice proper risk management and never trade with money you cannot afford to lose.
Optimized WaveletsThe script, High-Resolution Volume-Price Pressure Indicator with Wavelets, utilizes wavelet transforms and high-resolution data to analyze market pressure based on volume and price dynamics. The approach combines volume data from smaller timeframes (1 second) with non-linear transformation techniques to generate a refined view of market conditions. Here’s a detailed breakdown of how it works:
Key Components:
Wavelet Transform:
A wavelet function is applied to the price and volume data to capture patterns over a set time period. This technique helps identify underlying structures in the data that might be missed with traditional moving averages.
High-Resolution Data:
The indicator fetches 1-second high-resolution data for price movements and volume. This allows the strategy to capture granular price and volume changes, crucial for short-term trading decisions.
Normalized Difference:
The script calculates the normalized difference in price and volume data. By comparing changes over the selected length, it standardizes these movements to help detect sudden shifts in market pressure.
Sigmoid Transformation:
After combining the price and volume wavelet data, a sigmoid function is applied to smooth out the resulting values. This non-linear transformation helps highlight significant moves while filtering out minor fluctuations.
Volume-Price Pressure:
The up and down volume differences, together with price movements, are combined to create a "Volume-Price Pressure Score." The final indicator reflects the pressure exerted on the market by both buyers and sellers.
Indicator Plot:
The final transformed score is plotted, showing how price and volume dynamics, combined through wavelet transformation, interact. The indicator can be used to identify potential market turning points or pressure buildups based on volume and price movement patterns.
This approach is well-suited for traders looking for advanced signal detection based on high-frequency data and can provide insight into areas where typical indicators may lag or overlook short-term volatility.
Ichimoku Wave Oscillator with Custom MAIchimoku Wave Oscillator with Custom MA - Pine Script Description
This script uses various types of moving averages (MA) to implement the concept of Ichimoku wave theory for wave analysis. The user can select from SMA, EMA, WMA, TEMA, SMMA to visualize the difference between short-term, medium-term, and long-term waves, while identifying potential buy and sell signals at crossover points.
Key Features:
MA Type Selection:
The user can select from SMA (Simple Moving Average), EMA (Exponential Moving Average), WMA (Weighted Moving Average), TEMA (Triple Exponential Moving Average), and SMMA (Smoothed Moving Average) to calculate the waves. This script is unique in that it combines TEMA and SMMA, distinguishing it from other simple moving average-based indicators.
TEMA (Triple Exponential Moving Average): Best suited for capturing short-term trends with quick responsiveness.
SMMA (Smoothed Moving Average): Useful for identifying long-term trends with minimal noise, providing more stable signals.
Wave Calculations:
The script calculates three waves: Wave 9-17, Wave 17-26, and Wave 9-26, each of which analyzes different time horizons.
Wave 9-17 (blue): Primarily used for analyzing short-term trends, ideal for detecting quick changes.
Wave 17-26 (red): Used to analyze medium-term trends, providing a more stable market direction.
Wave 9-26 (green): Represents long-term trends, suitable for understanding broader trend shifts.
Baseline (0 Line):
Each wave is visualized around the 0 line, where waves above the line indicate an uptrend and waves below the line indicate a downtrend. This allows for easy identification of trend reversals.
Crossover Signals:
CrossUp: When Wave 9-17 (short-term wave) crosses Wave 17-26 (medium-term wave) upward, it is considered a buy signal, indicating a potential upward trend shift.
CrossDown: When Wave 9-17 (short-term wave) crosses Wave 17-26 downward, it is considered a sell signal, indicating a potential downward trend shift.
Background Color for Signal:
The script visually highlights the signals with background colors. When a buy signal occurs, the background turns green, and when a sell signal occurs, the background turns red. This makes it easier to spot reversal points.
Calculation Method:
The script calculates the difference between moving averages to display the wave oscillation. Wave 9-17, Wave 17-26, and Wave 9-26 represent the difference between the moving averages for different time periods, allowing for analysis of short-term, medium-term, and long-term trends.
Wave 9-17 = MA(9) - MA(17): Represents the difference between the short-term moving averages.
Wave 17-26 = MA(17) - MA(26): Represents the difference between medium-term moving averages.
Wave 9-26 = MA(9) - MA(26): Provides insight into the long-term trend.
This calculation method effectively visualizes the oscillation of waves and helps identify trend reversals at crossover points.
Uniqueness of the Script:
Unlike other moving average-based indicators, this script combines TEMA (Triple Exponential Moving Average) and SMMA (Smoothed Moving Average) to capture both short-term sensitivity and long-term stability in trends. This duality makes the script more versatile for different market conditions.
TEMA is ideal for short-term traders who need quick signals, while SMMA is useful for long-term investors seeking stability and noise reduction. By combining these two, this script provides a more refined analysis of trend changes across various timeframes.
How to Use:
This script is effective for trend analysis and reversal detection. By visualizing the crossover points between the waves, users can spot potential buy and sell signals to make more informed trading decisions.
Scalping strategies can rely on Wave 9-17 to detect quick trend changes, while those looking for medium-term trends can analyze signals from Wave 17-26.
For a broader market overview, Wave 9-26 helps users understand the long-term market trend.
This script is built on the concept of wave theory to anticipate trend changes, making it suitable for various timeframes and strategies. The user can tailor the characteristics of the waves by selecting different MA types, allowing for flexible application across different trading strategies.
Ichimoku Wave Oscillator with Custom MA - Pine Script 설명
이 스크립트는 다양한 이동 평균(MA) 유형을 활용하여 일목 파동론의 개념을 기반으로 파동 분석을 시도하는 지표입니다. 사용자는 SMA, EMA, WMA, TEMA, SMMA 중 원하는 이동 평균을 선택할 수 있으며, 이를 통해 단기, 중기, 장기 파동 간의 차이를 시각화하고, 교차점에서 상승 및 하락 신호를 포착할 수 있습니다.
주요 기능:
이동 평균(MA) 유형 선택:
사용자는 SMA(단순 이동 평균), EMA(지수 이동 평균), WMA(가중 이동 평균), TEMA(삼중 지수 이동 평균), SMMA(평활 이동 평균) 중 하나를 선택하여 파동을 계산할 수 있습니다. 이 스크립트는 TEMA와 SMMA의 독창적인 조합을 통해 기존의 단순한 이동 평균 지표와 차별화됩니다.
TEMA(삼중 지수 이동 평균): 빠른 반응으로 단기 트렌드를 포착하는 데 적합합니다.
SMMA(평활 이동 평균): 장기적인 추세를 파악하는 데 유용하며, 노이즈를 최소화하여 안정적인 신호를 제공합니다.
파동(Wave) 계산:
이 스크립트는 Wave 9-17, Wave 17-26, Wave 9-26의 세 가지 파동을 계산하여 각각 단기, 중기, 장기 추세를 분석합니다.
Wave 9-17 (파란색): 주로 단기 추세를 분석하는 데 사용되며, 빠른 추세 변화를 포착하는 데 유용합니다.
Wave 17-26 (빨간색): 중기 추세를 분석하는 데 사용되며, 좀 더 안정적인 시장 흐름을 보여줍니다.
Wave 9-26 (녹색): 장기 추세를 나타내며, 큰 흐름의 방향성을 파악하는 데 적합합니다.
기준선(0 라인):
각 파동은 0 라인을 기준으로 변동성을 시각화합니다. 0 위에 있는 파동은 상승세, 0 아래에 있는 파동은 하락세를 나타내며, 이를 통해 추세의 전환을 쉽게 확인할 수 있습니다.
파동 교차 신호:
CrossUp: Wave 9-17(단기 파동)이 Wave 17-26(중기 파동)을 상향 교차할 때, 상승 신호로 간주됩니다. 이는 단기적인 추세 변화가 발생할 수 있음을 의미합니다.
CrossDown: Wave 9-17(단기 파동)이 Wave 17-26(중기 파동)을 하향 교차할 때, 하락 신호로 해석됩니다. 이는 시장이 약세로 돌아설 가능성을 나타냅니다.
배경 색상 표시:
교차 신호가 발생할 때, 상승 신호는 녹색 배경, 하락 신호는 빨간색 배경으로 시각적으로 강조되어 사용자가 신호를 쉽게 인식할 수 있습니다.
계산 방식:
이 스크립트는 이동 평균 간의 차이를 계산하여 각 파동의 변동성을 나타냅니다. Wave 9-17, Wave 17-26, Wave 9-26은 각각 설정된 주기의 이동 평균(MA)의 차이를 통해, 시장의 단기, 중기, 장기 추세 변화를 시각적으로 표현합니다.
Wave 9-17 = MA(9) - MA(17): 단기 추세의 차이를 나타냅니다.
Wave 17-26 = MA(17) - MA(26): 중기 추세의 차이를 나타냅니다.
Wave 9-26 = MA(9) - MA(26): 장기적인 추세 방향을 파악할 수 있습니다.
이러한 계산 방식은 파동의 변동성을 파악하는 데 유용하며, 추세의 교차점을 통해 상승/하락 신호를 잡아냅니다.
스크립트의 독창성:
이 스크립트는 기존의 이동 평균 기반 지표들과 달리, TEMA(삼중 지수 이동 평균)와 SMMA(평활 이동 평균)을 함께 사용하여 짧은 주기와 긴 주기의 트렌드를 동시에 파악할 수 있도록 설계되었습니다. 이를 통해 단기 트렌드의 민감한 변화와 장기 트렌드의 안정성을 모두 반영합니다.
TEMA는 단기 트레이더에게 빠르고 민첩한 신호를 제공하며, SMMA는 장기 투자자에게 보다 안정적이고 긴 호흡의 트렌드를 파악하는 데 유리합니다. 두 지표의 결합으로, 다양한 시장 환경에서 추세의 변화를 더 정교하게 분석할 수 있습니다.
사용 방법:
이 스크립트는 추세 분석과 변곡점 포착에 효과적입니다. 각 파동 간의 교차점을 시각적으로 확인하고, 상승 또는 하락 신호를 포착하여 매매 시점 결정을 도울 수 있습니다.
스캘핑 전략에서는 Wave 9-17을 주로 참고하여 빠르게 추세 변화를 잡아내고, 중기 추세를 참고하고 싶은 경우 Wave 17-26을 사용해 신호를 분석할 수 있습니다.
장기적인 시장 흐름을 파악하고자 할 때는 Wave 9-26을 통해 큰 트렌드를 확인할 수 있습니다.
이 스크립트는 파동 이론의 개념을 기반으로 시장의 추세 변화를 예측하는 데 유용하며, 다양한 시간대와 전략에 맞추어 사용할 수 있습니다. 특히, 사용자가 선택한 MA 유형에 따라 파동의 특성을 변화시킬 수 있어, 여러 매매 전략에 유연하게 대응할 수 있습니다.
Fine-tune Inputs: Fourier Smoothed Volume zone oscillator WFSVZ0Use this Strategy to Fine-tune inputs for the (W&)FSVZ0 Indicator.
Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data.
I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame.
MEANINGFUL DESCRIPTION:
The Volume Zone oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction.
The Wavelet & Fourier Smoothed Volume Zone Oscillator (W&)FSVZO is a refined version of the Volume Zone Oscillator, enhanced by the implementation of the Discrete Fourier Transform . Its primary function is to streamline price data and diminish market noise, thus offering a clearer and more precise reflection of price trends.
By combining the Wavalet and Fourier aproximation with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions.
HOW TO USE THE INDICATOR:
The default period is 2 but can be adjusted after backtesting. (I suggest 5 VZO length and NoiceR max length 8 as-well)
The VZO points to a positive trend when it is rising above the 0% level, and a negative trend when it is falling below the 0% level. 0% level can be adjusted in setting by adjusting VzoDifference. Oscillations rising below 0% level or falling above 0% level result in a natural trend.
HOW TO USE THE STRATEGY:
Here you fine-tune the inputs until you find a combination that works well on all Timeframes you will use when creating your Automated Trade Algorithmic Strategy. I suggest 4h, 12h, 1D, 2D, 3D, 4D, 5D, 6D, W and M.
When I ndicator/Strategy returns 0 or natural trend , Strategy Closes All it's positions.
ORIGINALITY & USFULLNESS:
Personal combination of Fourier and Wavalet aproximation of a price which results in less noise Volume Zone Oscillator.
The Wavelet Transform is a powerful mathematical tool for signal analysis, particularly effective in analyzing signals with varying frequency or non-stationary characteristics. It dissects a signal into wavelets, small waves with varying frequency and limited duration, providing a multi-resolution analysis. This approach captures both frequency and location information, making it especially useful for detecting changes or anomalies in complex signals.
The Discrete Fourier Transform (DFT) is a mathematical technique that transforms discrete data from the time domain into its corresponding representation in the frequency domain. This process involves breaking down a signal into its individual frequency components, thereby exposing the amplitude and phase characteristics inherent in each frequency element.
This indicator utilizes the concept of Ehler's Universal Oscillator and displays a histogram, offering critical insights into the prevailing levels of market noise. The Ehler's Universal Oscillator is grounded in a statistical model that captures the erratic and unpredictable nature of market movements. Through the application of this principle, the histogram aids traders in pinpointing times when market volatility is either rising or subsiding.
DETAILED DESCRIPTION:
My detailed description of the indicator and use cases which I find very valuable.
What is oscillator?
Oscillators are chart indicators that can assist a trader in determining overbought or oversold conditions in ranging (non-trending) markets.
What is volume zone oscillator?
Price Zone Oscillator measures if the most recent closing price is above or below the preceding closing price.
Volume Zone Oscillator is Volume multiplied by the 1 or -1 depending on the difference of the preceding 2 close prices and smoothed with Exponential moving Average.
What does this mean?
If the VZO is above 0 and VZO is rising. We have a bullish trend. Most likely.
If the VZO is below 0 and VZO is falling. We have a bearish trend. Most likely.
Rising means that VZO on close is higher than the previous day.
Falling means that VZO on close is lower than the previous day.
What if VZO is falling above 0 line?
It means we have a high probability of a bearish trend.
Thus the indicator returns 0 and Strategy closes all it's positions when falling above 0 (or rising bellow 0) and we combine higher and lower timeframes to gauge the trend.
In the next Image you can see that trend is negative on 4h, negative on 12h and positive on 1D. That means trend is negative.
I am sorry, the chart is a bit messy. The idea is to use the indicator over more than 1 Timeframe.
What is approximation and smoothing?
They are mathematical concepts for making a discrete set of numbers a
continuous curved line.
Fourier and Wavelet approximation of a close price are taken from aprox library.
Key Features:
You can tailor the Indicator/Strategy to your preferences with adjustable parameters such as VZO length, noise reduction settings, and smoothing length.
Volume Zone Oscillator (VZO) shows market sentiment with the VZO, enhanced with Exponential Moving Average (EMA) smoothing for clearer trend identification.
Noise Reduction leverages Euler's White noise capabilities for effective noise reduction in the VZO, providing a cleaner and more accurate representation of market dynamics.
Choose between the traditional Fast Fourier Transform (FFT) , the innovative Double Discrete Fourier Transform (DTF32) and Wavelet soothed Fourier soothed price series to suit your analytical needs.
Image of Wavelet transform with FAST settings, Double Fourier transform with FAST settings. Improved noice reduction with SLOW settings, and standard FSVZO with SLOW settings:
Fast setting are setting by default:
VZO length = 2
NoiceR max Length = 2
Slow settings are:
VZO length = 5 or 7
NoiceR max Length = 8
As you can see fast setting are more volatile. I suggest averaging fast setting on 4h 12h 1d 2d 3d 4d W and M Timeframe to get a clear view on market trend.
What if I want long only when VZO is rising and above 15 not 0?
You have set Setting VzoDifference to 15. That reduces the number of trend changes.
Example of W&FSVZO with VzoDifference 15 than 0:
VZO crossed 0 line but not 15 line and that's why Indicator returns 0 in one case an 1 in another.
What is Smooth length setting?
A way of calculating Bullish or Bearish (W&)FSVZO .
If smooth length is 2 the trend is rising if:
rising = VZO > ta.ema(VZO, 2)
Meaning that we check if VZO is higher that exponential average of the last 2 elements.
If smooth length is 1 the trend is rising if:
rising = VZO_ > VZO_
Use this Strategy to fine-tune inputs for the (W&)FSVZO Indicator.
(Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data)
I suggest using " Close all " input False when fine-tuning Inputs for 1 TimeFrame . When you export data to Excel/Numbers/GSheets I suggest using " Close all " input as True , except for the lowest TimeFrame . I suggest using 100% equity as your default quantity for fine-tune purposes. I have to mention that 100% equity may lead to unrealistic backtesting results. Be avare. When backtesting for trading purposes use Contracts or USDT.
XPrecisionSwing (XPS)* XPrecisionSwing (XPS) Indicator *
Is a visual representation of the Forces of Supply / Demand in the markets in the form of UP and DOWN waves. The Supply / Demand (denoted by a number on top or below the wave line) is computed using the *MBox Precision Supply / Demand* algorithm. These numbers diligently show the forces of Supply and Demand moving price in the markets. The algorithm for computing the numbers on the top and bottom of the wave lines measures the strength of the Supply / Demand. It is this algorithm that makes this indicator unique as it gives an accurate representation of the forces pulling the market up and down. When forces oppose each other, meaning when the direction of price does not agree with the direction of the Supply or Demand it creates a divergence and an opportunity in the markets. These situations are called BUY / SELL Imbalances. Explanation about this below.
* WHAT THE SCRIPT DOES *
The XPrecisionSwing indicator draws swing waves lines going up and down. These waves lines are representative of Supply and Demand. Waves going up are Demand, while waves going down are Supply. The strength of the Supply / Demand corresponds to the number drawn either on top of the wave line or below it. The numbers drawn on the chart are powered by the *MBox Precision Supply / Demand* algorithm, which are representative of the Forces of Supply / Demand in the markets. This is not just volume added up like in a regular zig zag indicator, since volume alone does not show Supply / Demand, and regular volume will not show BUY / SELL Imbalances as depicted by XPrecisionSwing. Volume summated will not show both positive and negative numbers on the chart. Having Supply / Demand split into both positive and negative numbers allows us to see BUY / SELL Imbalances, which can be a very powerful divergence. Information on how these numbers are computed are in the "HOW IT WORKS" section.
The numbers drawn on the chart can be either negative or positive. Positive relates to Demand, while negative relates to Supply. In this manner the strength of Supply and Demand can be gauged in each wave. If the price goes up but the number is negative (More Supply) it is a divergence and called a SELL Imbalance. This means there was more Supply even though price went up. It is important to pay attention to these scenarios, as often it can be indicative of NO DEMAND. Conversely. if the price goes down but the number is positive (No Demand) it is a divergence and is called a BUY Imbalance. This means there was more Demand even though price went down. This is indicative of NO SUPPLY. As such, it now becomes possible to know when there is a sign of Supply, Demand, No Supply, No Demand, Supply Exhaustion, and Demand exhaustion. Supply occurs when the negative numbers on the charts begin to increase (more negatively). Demand occurs when the positive numbers on the chart begin to increase (more positively). A Supply Exhaustion pattern happens when the price is starting to move down more slowly, while Supply is decreasing, and Demand is increasing. This means that the behavior of the market is changing and also a signal to look to reverse positions. A Demand Exhaustion pattern happens when the price is starting to move up more slowly, while Demand is decreasing, and Supply is increasing. The behavior of the market here is also changing.
* HOW IT WORKS *
- Technical Details for the Numbers on the Swing -
The numbers on the chart represent Supply / Demand. Supply or Demand is determined by analyzing the movement of price and quantity of volume.
When price goes up and is combined with an increase in volume it is Expansion of Demand.
(Positive Numbers get larger)
However if price goes up and is combined with a decrease in volume it is Contraction of Demand.
(Positive Numbers get smaller)
When price goes down and is combined with an increase in volume it is Expansion of Supply.
(Negative Numbers get larger)
However if price goes down and is combined with a decrease in volume it is Contraction of Supply.
(Negative Numbers get smaller)
- Technical Details for the Swing -
The way XPrecisionSwing draws the swings is fractal in nature, which make it very convenient and easier to use over the traditional zig zag indicator. The traditional zig zag indicator uses a tick reversal which needs to be adjusted every time you change time frames. However, with XPrecisionSwing you do not have to change any settings every time you load a different time frame since it will adjust to any time frame you are loading. How the swing is drawn is explained below.
XPrecisionSwing uses 3 bars (by default) to define a swing
This parameter can be adjusted. Can be 1, 2, 4 bars, etc...
Swings are always drawn using High / Low of the bar
- Rules -
To start upswing, bar high needs to be higher than previous 3 candle highs
To start downswing, bar low needs to be lower than previous 3 candle lows
If in upswing, a higher high will continue the upswing
if in downswing, a lower low will continue the downswing
- Exceptions -
If outside bar (both high and low exceeds previous 3 bars) swing will continue in current direction
- Swing Confirmation -
Swing wave line in progress (unconfirmed) is denoted by a brown box around the swing number
Once the brown box disappears, that swing wave and number is confirmed
* HOW TO USE IT *
As the numbers on the down waves increase (negatively), this shows that the bears have taken control of the markets. Conversely, as the numbers on the up waves increase (positively), this shows the bulls have taken control of the markets. Whoever is in control is the direction you generally want to place your trades in. When you see an increase in Supply (numbers on down wave) accompanied with a decrease in Demand (numbers on up wave) this shows a Supply + Demand Exhaustion Pattern. This is stronger than if you only see an increase in Supply without a decrease in Demand.
- The Buy / Sell Imbalances -
If you see a positive blue number on the bottom of a DOWN Wave, this means that there was more buying than selling even though price moved down.
If you see a negative red number on the top of an UP Wave, this means that there was more selling than buying even though price moved up.
Both of these cases signify and imbalance and a divergence.
* EXAMPLE AND USE CASES *
- Sell Imbalance Example -
If you see a large negative number with a lower low on a down wave, and then the next up wave is a lower high also with a negative number it shows that there is only Supply flooding the market and no sign of Demand. This is a very powerful combo.
- Buy Imbalance Example -
If you see a large positive number with a higher high on an up wave, and then the next down wave is a higher low also with a positive number it shows that there is only Demand flooding the market and no sign of Supply. This is a very powerful combo.
- Supply Exhaustion example -
If you see price movement struggling to make newer lows and the Supply numbers on the down waves are decreasing, while the Demand numbers on the up waves are increasing this is indicative of a *Change of Behavior*, and that the market is showing signs of reversal.
- Break out on Demand example -
If you see price has been ranging and now the numbers on the UP waves begin to increase while breaking out of a previous area of resistance, it is a good sign that the movement is backed by the strength coming from the Demand.
* BUY / SELL IMBALANCE ALERTS *
The Green / Red crosses on the chart show exactly where the Buy / Sell Imbalance Alerts trigger.
These will NEVER repaint! The crosses can be hidden in Styles if you wish to.
Alerts can be set very easily with the instructions below.
1. Right Click Chart -> Add Alert...
(Ignore Caution Warning. These alerts will *ONLY* trigger on Confirmed BUY / SELL Imbalances and will NOT repaint)
2. Select Condition to be "XPrecisionSwing"
3. Select "Buy Imbalance" or "Sell Imbalance"
4. Select "Greater Than" with Value = 0
5. Options set "Once Per Bar"
6. Customize Any other Alert Options you want
* WHAT MAKES IT ORIGINAL *
XPrecisionSwing gives an inside look into the markets by showing price movements as a series of waves going up and down with their corresponding Supply / Demand numbers associated with each wave. Reading the numbers shows the strength of Supply / Demand. The bigger the number the stronger the Supply / Demand is. The smaller the number the weaker the Supply / Demand is. It becomes possible to see where Supply / Demand comes in, along with Exhaustion of Supply / Demand to spot opportunities to place trades. The Buy / Sell Imbalances show imbalances where price movement and the direction of the Supply / Demand diverge to create potential opportunities as well.
* AUTHOR *
This script is published by MBoxWave LLC
Elliott Wave - FuturesElliott Wave, indicating possible waves 2, 3, 4 and 5
Based on my Elliott Wave - Oscillator, this signals are converted into numbers displayed on chart:
Waves2, Waves3, Waves4, Waves5:
- Indicated on Chart with numbers
Fib fan Wave 4 retracement
- Blue, green and red lines for optimum retracement
Probability and target for wave 5
- Plotted when wave 4 is found
- Stays visible in chart
- Target is based on Daily Fibonnacci
- Probability: If current trend volume is bigger than previous opposite wave trend volume, probability is painted with color of trend background(for a trend to continue, value is recommended bigger than 35)
Projection Wave 4 (if wave 3 detected) and Projection Wave 5(if wave 4 detected)
- Only displayed when waves are active, else not displayed and not saved on chart
- For upside trend 2 blue target lines are displayed based on Daily Fibonnacci
- For downside trend 2 red target lines are displayed based on Daily Fibonnacci
REMINDER OF OSCILATOR USE:
Waves3: Indicated in RED Line(Upwards) and Green Line(Downwards)
- Detects wave greater than SMA
Waves4: Maximum height indicated in yellow Line
- Detects when wave greater than SMA (Wave 3 or 5) approaches wave 4 regression point
Waves5: Indicated in White Line
- Detects divergence in oscilator and price, meaning end of trend
Appreciate any suggestions, collaboration, comments or ideas.
Detects Waves 2, 3 , 4 and 5
Fib fan Wave 4 retracement
Probability and target for wave 5
Projection Wave 4 (if wave 3 detected)
Projection Wave 5(if wave 4 detected)
Alerts for Waves 2, 3, 4 and 5
Better and accurate targets for waves based on Futures
Elliott Wave - StocksElliott Wave, indicating possible waves 2, 3, 4 and 5
Based on my Elliott Wave - Oscillator, this signals are converted into numbers displayed on chart:
Waves2, Waves3, Waves4, Waves5:
- Indicated on Chart with numbers
Fib fan Wave 4 retracement
- Blue, green and red lines for optimum retracement
Probability and target for wave 5
- Plotted when wave 4 is found
- Stays visible in chart
- Target is based on Monthly Fibonnacci
- Probability: If current trend volume is bigger than previous opposite wave trend volume, probability is painted with color of trend background(for a trend to continue, value is recommended bigger than 35)
Projection Wave 4 (if wave 3 detected) and Projection Wave 5(if wave 4 detected)
- Only displayed when waves are active, else not displayed and not saved on chart
- For upside trend 2 blue target lines are displayed based on Monthly Fibonnacci
- For downside trend 2 red target lines are displayed based on Monthly Fibonnacci
Fundamentals: Enterprise Value
- Displayed when financial reports are updated to database
- Also displayed the latest calculated enterprise value with current stock price and last financial report
REMINDER OF OSCILATOR USE:
Waves3: Indicated in RED Line(Upwards) and Green Line(Downwards)
- Detects wave greater than SMA
Waves4: Maximum height indicated in yellow Line
- Detects when wave greater than SMA (Wave 3 or 5) approaches wave 4 regression point
Waves5: Indicated in White Line
- Detects divergence in oscilator and price, meaning end of trend
Appreciate any suggestions, collaboration, comments or ideas.
Detects Waves 2, 3 , 4 and 5
Fib fan Wave 4 retracement
Probability and target for wave 5
Projection Wave 4 (if wave 3 detected)
Projection Wave 5(if wave 4 detected)
Alerts for Waves 2, 3, 4 and 5
Fundamentals: Enterprise Value
Better and accurate targets for waves based on Stocks
VolatWave‴ | Volatility Wave‴What does it do?
This indicator allows you to identify possible asset top and bottom reversals by having a prior Volatility acting among the price movement with a sequential positive (top reversal) or negative (bottom reversal) waves.
How does it work?
Everytime the wave starts showing a curved top movement (ascending price movment) or a curved bottom movement (descending price movment), 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.
Important to mention that the positive wave band, histogram bars and moving average line are calculate totally separete from the the negative wave.
What's my filling?
I'm still testing this indicator for only a week and so far still trying to understand its signs. I'm using it in conjunction with Volume Wave (VolWave) and Price Spread Wave (PSWave).
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 volatility bar touches the volatility wave band, it suggests imminent reversal of the current movement
- wave 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.
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.
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.
----------------------
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.
----------------------
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.
----------------------
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.
----------------------
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:
----------
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.
----------
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.
----------
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.
