JL - DWM OHLCThis indicator plots the following price levels on your chart automatically AND will not show up if you are using a timeframe bigger than 60 minutes, 1 day, or 1 week.
Here are the price levels that are automatically plotted for you, and so you know the styling is different for Daily, Weekly, Monthly levels so you can easily distinguish between them:
- Prior Day: High / Low / Close
- Current Day: Open
- Prior Week: High / Low / Close
- Current Week: Open
- Prior Month: High / Low / Close
- Current Month: Open
These plots are timeframe dependent and will not plot on subsequently higher timeframes, here is how they work:
Daily Price Levels are only shown on timeframes that are smaller than 60 minutes.
Weekly Price Levels are only shown on timeframes smaller than 1 Day.
Monthly Price Levels are only shown on timeframes smaller than 1 Week.
This way, you can turn on the indicator and not have to think about turning off certain price levels if you switch to a larger / longer timeframe than what you typically use.
For example, Daily OHLC price levels will quickly clutter the 60 minute chart, and likely you don't need to know the HLC of the Prior Day if you are looking at the 60 minute chart. Therefor it may be helpful to automatically hide the Daily price level plots, and only show the Weekly and Monthly plots on the 60 minute timeframe.
I hope you find this indicator helpful, thanks for reading.
Trend Analizi
day of Month | xilixMonthly Marker (1D Only)
The Monthly Marker indicator automatically highlights a specific day of the month on a daily (1D) chart by drawing a vertical line. Users can select their desired day of the month and customize the line color.
Features:
✅ Marks the chosen day of each month with a vertical line.
✅ Customizable line color (set in the indicator settings).
✅ Helps traders quickly identify key monthly dates.
Note: This indicator will not work on lower timeframes (e.g., 4H, 1H) and will show an error if applied outside the 1D timeframe.
Best Use Cases: Monthly trend tracking, economic event alignment, and custom date-based analysis. 🚀
Penny King**Penny King Trend Indicator**
The **Penny King** is a powerful and versatile trend-following indicator designed to assist traders in identifying market trends and dynamic support/resistance levels. This tool effectively leverages Adaptive True Range (ATR) and Exponential Moving Average (EMA) or a Delta Price method to establish a trailing stop level, ensuring traders can capture strong trends while minimizing risk.
### **Key Features:**
1. **Dual Calculation Modes:**
- **ATR & EMA-Based Mode (Mode 0)**: Uses ATR (Average True Range) and EMA (Exponential Moving Average) to determine the trailing stop level dynamically.
- **Delta Price Mode (Mode 1)**: Utilizes a fixed price change threshold (Delta Price) to define stop levels based on market volatility.
2. **Adjustable Parameters for Customization:**
- **Range (akk_range)**: Defines the lookback period for the ATR calculation.
- **IMA Range (ima_range)**: Specifies the EMA smoothing factor applied to the ATR.
- **Factor (akk_factor)**: Multiplier applied to the ATR-based calculation to refine trailing stop sensitivity.
- **Delta Price (DeltaPrice)**: Fixed price-based stop level for an alternative trend calculation.
3. **Intelligent Trailing Stop Mechanism:**
- The trailing stop level dynamically adjusts based on price movement, following the trend while preventing premature exits.
- If the price moves in favor of the trend, the stop level is adjusted accordingly to lock in profits.
- If the price reverses against the trend, the stop level remains intact until a new trend direction is established.
4. **Efficient Market Adaptability:**
- The ATR-based method ensures adaptability to changing market conditions, expanding stop levels in high volatility and tightening them in low volatility periods.
- The Delta Price method offers a fixed approach, ideal for traders who prefer a non-ATR-based system for managing stop levels.
5. **Clean Visual Representation:**
- The indicator plots a clear, orange-colored trend stop line that dynamically follows the market movement.
- Provides a visual cue to determine potential entry and exit points efficiently.
### **How to Use:**
- **Trend Confirmation:**
- If the price remains above the trend stop line, it signals a bullish trend.
- If the price falls below the trend stop line, it indicates a bearish trend.
- **Trade Entries & Exits:**
- Consider long positions when the price remains above the trend stop.
- Consider short positions when the price stays below the trend stop.
- Utilize the trend stop line as a dynamic trailing stop-loss mechanism to protect gains and minimize losses.
- **Parameter Optimization:**
- Adjust the **Range**, **IMA Range**, and **Factor** to optimize settings based on the trading asset and time frame.
- Experiment with **Delta Price Mode** for assets where fixed price-based trailing stops are more effective.
### **Conclusion:**
The **Penny King Trend Indicator** is an essential tool for traders looking to capture market trends while ensuring effective risk management. Whether you prefer ATR-based adaptability or a fixed price stop approach, this indicator provides the flexibility needed to navigate different market conditions successfully. By integrating the **Penny King**, traders can enhance their trading strategy with a reliable and efficient trend-following system.
Forex Pips Tracker PinescriptlabsThis algorithm is exclusively designed for the Forex market 🌐 and serves as a tool to measure volatility, helping to determine on average how many pips positions move per hour. With this information, a trader can place take profit and stop loss orders with greater certainty, since they know the average pip movement range during each hour of the day.
What does it do and how does it work?
• Volatility measurement in pips 📊:
The algorithm calculates the size of the movement (or range) of each candle expressed in pips. To do this, it takes the difference between the highest and lowest price of each candle and converts it into pips.
👉
• Time zone adjustment ⏰:
It allows you to configure the time zone so that the data aligns with your desired schedule. This is especially useful for comparing movements at different times based on the trader's location.
• Analysis by time intervals 🕒:
The algorithm’s logic organizes the information for each hour of the day. It stores data for the current day, the previous day, weekly, and historically (200 candles). This allows you to see how volatility varies across different periods, providing a dynamic view of market behavior.
👉
• Directionality of movement 🔄:
In addition to averaging the pip range, the algorithm determines the predominant direction of each candle (bullish or bearish). This translates into visual indicators (like arrows) that help identify whether, on average, the movement during that hour tends to go up or down.
• Table visualization 📈:
Finally, the information is presented in an integrated table on the chart. Each row corresponds to an hour of the day and shows the average number of pips and the direction (bullish, bearish, or neutral) for each analyzed period. This table makes it easy to quickly and practically interpret the volatility data.
By combining these features, the algorithm becomes an essential tool for traders looking to better understand market dynamics and optimize their trading strategies! 💼✨
Español:
Este algoritmo está diseñado exclusivamente para el mercado Forex 🌐 y sirve como una herramienta para medir la volatilidad, ayudando a determinar en promedio cuántos pips se mueven las posiciones por hora. Con esta información, un trader puede colocar el take profit y el stop loss con mayor certeza, ya que conoce el rango promedio de movimiento en pips durante cada hora del día.
¿Qué hace y cómo funciona?
• Medición de volatilidad en pips 📊:
El algoritmo calcula el tamaño del movimiento (o rango) de cada vela expresado en pips. Para ello, toma la diferencia entre el precio máximo y el mínimo de cada vela y la convierte a pips.
👉
• Ajuste de zona horaria ⏰:
Permite configurar la zona horaria para que los datos se ajusten al horario deseado. Esto es especialmente útil para comparar movimientos durante distintas horas en función de la localización del trader.
• Análisis por intervalos de tiempo 🕒:
La lógica del algoritmo organiza la información por cada hora del día. Guarda datos para el día actual, el día anterior, a nivel semanal e histórico (200 velas). Esto permite ver cómo varía la volatilidad en diferentes periodos, proporcionando una visión dinámica del comportamiento del mercado.
👉
• Direccionalidad del movimiento 🔄:
Además de promediar el rango en pips, el algoritmo determina la dirección predominante de cada vela (alcista o bajista). Esto se traduce en indicadores visuales (como flechas) que permiten identificar si, en promedio, el movimiento en esa hora tiende a subir o bajar.
• Visualización en tabla 📈:
Finalmente, la información se presenta en una tabla integrada en el gráfico. Cada fila corresponde a una hora del día y muestra el promedio de pips y la dirección (alcista, bajista o neutral) para cada uno de los periodos analizados. Esta tabla facilita la interpretación rápida y práctica de los datos de volatilidad.
Al combinar estas funciones, el algoritmo se convierte en una herramienta esencial para traders que buscan entender mejor la dinámica del mercado y optimizar sus estrategias de trading! 💼✨
Machine Learning Trendlines Cluster [LuxAlgo]The ML Trendlines Cluster indicator allows traders to automatically identify trendlines using a machine learning algorithm based on k-means clustering and linear regression, highlighting trendlines from clustered prices.
For trader's convenience, trendlines can be filtered based on their slope, allowing them to filter out trendlines that are too horizontal, or instead keep them depending on the user-selected settings.
🔶 USAGE
Traders only need to set the number of trendlines (clusters) they want the tool to detect and the algorithm will do the rest.
By default the tool is set to detect 4 clusters over the last 500 bars, in the image above it is set to detect 10 clusters over the same period.
This approach only focuses on drawing trendlines from prices that share a common trading range, offering a unique perspective to traditional trendlines. Trendlines with a significant slope can highlight higher dispersion within its cluster.
🔹 Trendline Slope Filtering
Traders can filter trendlines by their slope to display only steep or flat trendlines relative to a user-defined threshold.
The image above shows the three different configurations of this feature:
Filtering disabled
Filter slopes above threshold
Filter slopes below threshold
🔶 DETAILS
K-means clustering is a popular machine-learning algorithm that finds observations in a data set that are similar to each other and places them in a group.
The process starts by randomly assigning each data point to an initial group and calculating the centroid for each. A centroid is the center of the group. K-means clustering forms the groups in such a way that the variances between the data points and the centroid of the cluster are minimized.
The trendlines are displayed according to the linear regression function calculated for each cluster.
🔶 SETTINGS
Window Size: Maximum number of bars to get data from
Clusters: Maximum number of clusters (trendlines) to detect
🔹 Optimization
Maximum Iteration Steps: Maximum loop iterations for cluster computation
🔹 Slope Filter
Threshold Multiplier: Multiplier applied to a volatility measure, higher multiplier equals higher threshold
Filter Slopes: Enable/Disable Trendline Slope Filtering, select to filter trendlines with slopes ABOVE or BELOW the threshold
🔹 Style
Upper Zone: Color to display in the top zone
Lower Zone: Color to display in the bottom zone
Lines: Style for the lines
Size: Line size
Premarket High/Low Breakout AlertsPremarket High/Low Breakout Alerts
Description: This custom TradingView indicator helps you track premarket breakouts and breakdowns for a list of selected stocks. The indicator monitors the premarket session and sends an alert every time the stock's price breaks above the premarket high or below the premarket low.
Key Features:
Track Multiple Stocks: Easily monitor multiple stocks (e.g., AAPL, TSLA, NVDA, etc.) and get alerts when they break premarket levels.
Premarket Session Monitoring: The indicator checks for price movements during the premarket session (4:00 AM to 9:30 AM EST).
Customizable Ticker List: Modify the list of tickers directly from the TradingView settings to suit your daily trading needs.
Breakout and Breakdown Alerts: Receive instant alerts for both breakout (above premarket high) and breakdown (below premarket low) conditions.
Plot Premarket Levels: The premarket high and low levels are plotted on the chart for easy reference.
How to Use:
Add this indicator to your chart.
Go to the indicator settings and input your desired stock tickers (e.g., AAPL, TSLA, MSFT).
The indicator will automatically track the premarket levels and send alerts when those levels are broken.
Customize the tickers daily if needed.
Ideal For:
Day Traders who want to track premarket movements.
Swing Traders looking for strong breakouts from premarket levels.
Scalpers who need quick alerts to catch price action early.
EM Yield Curve IndexThis script calculates the Emerging Markets (EM) Yield Curve Index by aggregating the 2-year and 10-year bond yields of major emerging economies. The bond yields are weighted based on each country's bond market size, with data sourced from TradingView. The yield curve is derived by subtracting the 2-year yield from the 10-year yield, providing insights into economic conditions, risk sentiment, and potential recessions in emerging markets. The resulting EM Yield Curve Index is plotted for visualization.
Note: In some cases, TradingView's TVC data did not provide a 2-year bond yield. When this occurred, the best available alternative yield (such as 3-month, 1-year or 4-year yields) was used to approximate the short-term interest rate for that country.
Multi-Faceted Analysis ToolHere’s a detailed description for the **Multi-Faceted Analysis Tool** TradingView indicator:
---
## Multi-Faceted Analysis Tool
### Overview
The **Multi-Faceted Analysis Tool** is a powerful TradingView indicator designed to enhance your technical analysis by combining several popular indicators: Simple Moving Average (SMA), Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD). This indicator provides traders with insightful market signals that can be tailored to fit various trading strategies and timeframes.
### Key Features
1. **Simple Moving Average (SMA)**:
- Plots a customizable SMA on the price chart. The length of the SMA can be adjusted to suit your analysis needs (default is set to 50). The SMA helps identify the overall trend direction.
2. **Relative Strength Index (RSI)**:
- Calculates and plots RSI values, providing insights into potential overbought or oversold market conditions. The user can customize the length of the RSI calculation (default is 14).
- Overbought (70) and oversold (30) levels are visually marked, helping traders identify potential reversal points.
3. **MACD**:
- Computes MACD values with customizable parameters for fast length, slow length, and signal length (defaults are 12, 26, and 9 respectively).
- The MACD histogram is displayed, highlighting the difference between the MACD line and the signal line, which can help traders visualize momentum shifts.
4. **Buy and Sell Signals**:
- Generates clear buy and sell signals based on RSI crossover with established thresholds (buy when RSI crosses above 30, sell when RSI crosses below 70). These signals are visually represented on the chart for easy decision-making.
5. **User-Friendly Customization**:
- All parameters are adjustable, allowing traders to set their preferred values based on individual strategies or market conditions. This flexibility ensures that the tool can cater to a wide range of trading styles.
Price Levels by Market Cap (Manual)This indicator will forecast the price by marketcap. The crypto's current circulating supply should be inputted manually.
Big Candles FilterHow It Works
A candle is considered "big" only if its body (distance from open to close) exceeds the barHeight value.
** NOT calculated by Range !!!
Features :
Bullish candles (close > open) are marked with a green "Buy" triangle if the body is large enough.
Bearish candles (close < open) are marked with a red "Sell" triangle if the body is large enough.
The bars are colored for big candles, and optional labels show the open and close prices.
Fibonacci - DolphinTradeBot
OVERVIEW
The 'Fibonacci - DolphinTradeBot' indicator is a Pine Script-based tool for TradingView that dynamically identifies key Fibonacci retracement levels using ZigZag price movements. It aims to replicate the Fibonacci Retracement tool available in TradingView’s drawing tools. The indicator calculates Fibonacci levels based on directional price changes, marking critical retracement zones such as 0, 0.236, 0.382, 0.5, 0.618, 0.786, and 1.0 on the chart. These levels are visualized with lines and labels, providing traders with precise areas of potential price reversals or trend continuation.
HOW IT WORKS ?
The indicator follows a zigzag formation. After a large swing movement, when new swings are formed without breaking the upper and lower levels, it places Fibonacci levels at the beginning and end points of the major swing movement."
▪️(Bullish) Structure :High → HigherLow → LowerHigh
▪️(Bearish) Structure :Low → LowerHigh → HigherLow
▪️When Fibonacci retracement levels are determined, a "📌" mark appears on the chart.
▪️If the price closes outside of these levels, a "❌" mark will appear.
USAGE
This indicator is designed to plot Fibonacci levels within an accumulation zone following significant price movements, helping you identify potential support and resistance. You can adjust the pivot periods to customize the zigzag settings to your preference. While classic Fibonacci levels are used by default, you also have the option to input custom levels and assign your preferred colors.
Set the Fibonacci direction option to "upward" to detect only bullish structures, "downward" to detect only bearish structures, and "both" to see both at the same time.
"To view past levels, simply enable the ' Show Previous Levels ' option, and to display the zigzag lines, activate the ' Show Zigzag ' setting."
ALERTS
The indicator, by default, triggers an alarm when both a level is formed and when a level is broken. However, if you'd like, you can select the desired level from the " Select Level " section in the indicator settings and set the alarm based on one of the conditions below.
▪️ cross-up → If the price breaks the Fibonacci level to the upside.
▪️ cross-down → If the price breaks the Fibonacci level to the downside.
▪️ cross-any → If the price breaks the Fibonacci level in any direction.
Price and Volume Breakout - Jemmy TradeThe "Price and Volume Breakout" indicator is designed to identify potential breakout opportunities by analyzing both price and volume trends. It uses a combination of historical price highs, volume peaks, and a customizable Simple Moving Average (SMA) to signal bullish breakouts. When the price exceeds the highest price of the defined breakout period and is supported by high volume, the indicator triggers visual alerts on the chart. These include dotted lines, labels, and boxes highlighting accumulation zones, along with dynamically calculated stop loss and take profit levels.
Key Features:
• Breakout Detection: Compares the current closing price to the highest price and volume over specified periods to signal a breakout.
• Customizable Stop Loss Options: Offers three methods for setting stop loss levels:
o Below SMA: Positions stop loss a user-defined percentage below the SMA.
o Lowest Low: Uses the lowest low over a specific look-back period.
o Range Average: Calculates an average based on the previous price range.
• Dynamic Take Profit Calculation: Automatically computes take profit levels based on the defined risk-to-reward ratio.
• Visual Chart Elements: Draws breakout lines, stop loss and take profit indicators, labels (e.g., "🚀 Breakout Buy", "🔴 Stop Loss", "🟢 Take Profit"), and boxes marking accumulation zones for easy visualization.
• Alert Conditions: Includes alert functionality to notify traders when breakout conditions are met, enabling timely trading decisions.
How to Use:
1. Customization: Adjust settings such as the breakout periods for price and volume, the length of the SMA, stop loss options, and the risk-to-reward ratio to fit your trading strategy.
2. Signal Identification: When the price exceeds the highest value from the previous period, accompanied by high volume and confirmation from the SMA, the indicator displays a "Breakout Buy" signal.
3. Risk Management: The indicator calculates appropriate stop loss and take profit levels automatically based on your selected parameters, ensuring a balanced risk/reward setup.
4. Alerts: Utilize the built-in alert conditions to receive notifications whenever the breakout criteria are satisfied, helping you act promptly.
PLEASE USE IT AS PER YOUR OWN RISK MANAGEMENT STRATEGIES.
Keywords:
#Breakout #Trading #VolumeAnalysis #TechnicalAnalysis #PriceAction #RiskManagement #TrendFollowing #TradingSignals #PriceBreakout #SmartTrading #JemmyTrade
Initial BalanceInitial Balance Pro – Precision Trading with Market Open Dynamics
The Initial Balance Pro indicator is designed to provide traders with a clear, structured view of the market's opening price action, helping to identify key levels for intraday trading. It automatically calculates and plots the initial balance (IB) high and low, allowing traders to gauge early market sentiment and potential breakout zones.
Features:
✅ Customizable Initial Balance Period – Set your preferred IB range, whether the first 30, 60, or any custom minutes after market open.
✅ Breakout & Rejection Zones – Visually highlight key areas where price action may find support, resistance, or breakout opportunities.
✅ Midpoint & Extension Levels – Identify the IB midpoint and customizable extension levels to anticipate possible price targets.
✅ Session Flexibility – Works across various trading sessions, including pre-market and post-market hours.
✅ Alerts & Notifications – Get notified when price breaches IB levels, helping you stay ahead of key moves.
Why Use Initial Balance?
The initial balance is a fundamental concept in market profile analysis. Institutional traders often set their positions within this range, making it a crucial reference point for potential trend continuation or reversal. When price breaks above or below the IB, it can signal high-probability trade opportunities, especially when combined with volume and order flow analysis.
Perfect For:
📈 Futures & Forex Traders – Utilize the IB for breakout and mean-reversion strategies.
📊 Equity & Options Traders – Identify key levels for intraday momentum plays.
🔍 Price Action Traders – Improve trade execution with a structured market approach.
Optimize your intraday trading strategy with Initial Balance Pro , giving you a refined edge in market structure and price action analysis. 🚀
Similar Bars Pattern DetecterDescription:
The Similar Bars Pattern Detector is a professional Pine Script indicator designed for TradingView users who want to identify sequences of similar candlesticks in a row. Whether you're looking for bullish or bearish patterns, this tool helps you spot repeating formations based on customizable settings.
Features:
✅ Detects patterns of consecutive similar bars
✅ Works for both bullish and bearish trends
✅ Uses tick-based range filtering for precise detection
✅ Fully customizable: adjust number of candles, trend type, and range
✅ Highlights detected patterns directly on the chart
🔹 Ideal for traders who rely on pattern recognition to confirm trends and price movements.
🔹 Works across all markets and timeframes.
💡 How to Use:
1️⃣ Set the number of candles to detect a repeating pattern.
2️⃣ Choose bullish or bearish trend direction.
3️⃣ Adjust the tick range to fine-tune pattern similarity.
🚀 Enhance your trading analysis with this powerful pattern recognition tool!
DMI + ADX + Key Level NACHOMIXCRYPTOThe DMI + ADX + Key Level NACHOMIXCRYPTO indicator is a technical analysis tool that combines the Directional Movement Index (DMI) and the Average Directional Index (ADX) to assess trend strength and direction. It also includes customizable key levels for better visualization.
Components:
ADX (Average Directional Index):
Measures the strength of a trend, regardless of its direction.
Values below 25 indicate a weak trend or range-bound market.
Values between 25-50 suggest a strong trend.
Values between 50-75 indicate a very strong trend.
Values above 75 represent an extremely strong trend.
+DI (Positive Directional Indicator) and -DI (Negative Directional Indicator):
+DI indicates bullish strength, shown in green.
-DI indicates bearish strength, shown in red.
The comparison between these two lines helps determine the market direction.
Features:
Trend Detection:
When +DI is above -DI and ADX is above the key level, it signals a bullish trend.
When -DI is above +DI and ADX is above the key level, it signals a bearish trend.
Key Level Line:
A customizable horizontal line that marks the threshold for trend strength.
Trend Background Color:
Green for strong uptrends and red for strong downtrends.
Signal Arrows:
A green upward triangle is plotted when a new bullish trend starts.
A red downward triangle is plotted when a new bearish trend starts.
Trend Strength Labels:
The indicator displays the current market strength classification and whether the trend is bullish, bearish, or neutral.
Strength Analysis Table:
Provides insights on whether the market has bullish, bearish, mixed strength, or no strength at all.
This indicator is particularly useful for traders looking to identify strong trends and catch early trend reversals.
Volume Predictor [PhenLabs]📊 Volume Predictor
Version: PineScript™ v6
📌 Description
The Volume Predictor is an advanced technical indicator that leverages machine learning and statistical modeling techniques to forecast future trading volume. This innovative tool analyzes historical volume patterns to predict volume levels for upcoming bars, providing traders with valuable insights into potential market activity. By combining multiple prediction algorithms with pattern recognition techniques, the indicator delivers forward-looking volume projections that can enhance trading strategies and market analysis.
🚀 Points of Innovation:
Machine learning pattern recognition using Lorentzian distance metrics
Multi-algorithm prediction framework with algorithm selection
Ensemble learning approach combining multiple prediction methods
Real-time accuracy metrics with visual performance dashboard
Dynamic volume normalization for consistent scale representation
Forward-looking visualization with configurable prediction horizon
🔧 Core Components
Pattern Recognition Engine : Identifies similar historical volume patterns using Lorentzian distance metrics
Multi-Algorithm Framework : Offers five distinct prediction methods with configurable parameters
Volume Normalization : Converts raw volume to percentage scale for consistent analysis
Accuracy Tracking : Continuously evaluates prediction performance against actual outcomes
Advanced Visualization : Displays actual vs. predicted volume with configurable future bar projections
Interactive Dashboard : Shows real-time performance metrics and prediction accuracy
🔥 Key Features
The indicator provides comprehensive volume analysis through:
Multiple Prediction Methods : Choose from Lorentzian, KNN Pattern, Ensemble, EMA, or Linear Regression algorithms
Pattern Matching : Identifies similar historical volume patterns to project future volume
Adaptive Predictions : Generates volume forecasts for multiple bars into the future
Performance Tracking : Calculates and displays real-time prediction accuracy metrics
Normalized Scale : Presents volume as a percentage of historical maximums for consistent analysis
Customizable Visualization : Configure how predictions and actual volumes are displayed
Interactive Dashboard : View algorithm performance metrics in a customizable information panel
🎨 Visualization
Actual Volume Columns : Color-coded green/red bars showing current normalized volume
Prediction Columns : Semi-transparent blue columns representing predicted volume levels
Future Bar Projections : Forward-looking volume predictions with configurable transparency
Prediction Dots : Optional white dots highlighting future prediction points
Reference Lines : Visual guides showing the normalized volume scale
Performance Dashboard : Customizable panel displaying prediction method and accuracy metrics
📖 Usage Guidelines
History Lookback Period
Default: 20
Range: 5-100
This setting determines how many historical bars are analyzed for pattern matching. A longer period provides more historical data for pattern recognition but may reduce responsiveness to recent changes. A shorter period emphasizes recent market behavior but might miss longer-term patterns.
🧠 Prediction Method
Algorithm
Default: Lorentzian
Options: Lorentzian, KNN Pattern, Ensemble, EMA, Linear Regression
Selects the algorithm used for volume prediction:
Lorentzian: Uses Lorentzian distance metrics for pattern recognition, offering excellent noise resistance
KNN Pattern: Traditional K-Nearest Neighbors approach for historical pattern matching
Ensemble: Combines multiple methods with weighted averaging for robust predictions
EMA: Simple exponential moving average projection for trend-following predictions
Linear Regression: Projects future values based on linear trend analysis
Pattern Length
Default: 5
Range: 3-10
Defines the number of bars in each pattern for machine learning methods. Shorter patterns increase sensitivity to recent changes, while longer patterns may identify more complex structures but require more historical data.
Neighbors Count
Default: 3
Range: 1-5
Sets the K value (number of nearest neighbors) used in KNN and Lorentzian methods. Higher values produce smoother predictions by averaging more historical patterns, while lower values may capture more specific patterns but could be more susceptible to noise.
Prediction Horizon
Default: 5
Range: 1-10
Determines how many future bars to predict. Longer horizons provide more forward-looking information but typically decrease accuracy as the prediction window extends.
📊 Display Settings
Display Mode
Default: Overlay
Options: Overlay, Prediction Only
Controls how volume information is displayed:
Overlay: Shows both actual volume and predictions on the same chart
Prediction Only: Displays only the predictions without actual volume
Show Prediction Dots
Default: false
When enabled, adds white dots to future predictions for improved visibility and clarity.
Future Bar Transparency (%)
Default: 70
Range: 0-90
Controls the transparency of future prediction bars. Higher values make future bars more transparent, while lower values make them more visible.
📱 Dashboard Settings
Show Dashboard
Default: true
Toggles display of the prediction accuracy dashboard. When enabled, shows real-time accuracy metrics.
Dashboard Location
Default: Bottom Right
Options: Top Left, Top Right, Bottom Left, Bottom Right
Determines where the dashboard appears on the chart.
Dashboard Text Size
Default: Normal
Options: Small, Normal, Large
Controls the size of text in the dashboard for various display sizes.
Dashboard Style
Default: Solid
Options: Solid, Transparent
Sets the visual style of the dashboard background.
Understanding Accuracy Metrics
The dashboard provides key performance metrics to evaluate prediction quality:
Average Error
Shows the average difference between predicted and actual values
Positive values indicate the prediction tends to be higher than actual volume
Negative values indicate the prediction tends to be lower than actual volume
Values closer to zero indicate better prediction accuracy
Accuracy Percentage
A measure of how close predictions are to actual outcomes
Higher percentages (>70%) indicate excellent prediction quality
Moderate percentages (50-70%) indicate acceptable predictions
Lower percentages (<50%) suggest weaker prediction reliability
The accuracy metrics are color-coded for quick assessment:
Green: Strong prediction performance
Orange: Moderate prediction performance
Red: Weaker prediction performance
✅ Best Use Cases
Anticipate upcoming volume spikes or drops
Identify potential volume divergences from price action
Plan entries and exits around expected volume changes
Filter trading signals based on predicted volume support
Optimize position sizing by forecasting market participation
Prepare for potential volatility changes signaled by volume predictions
Enhance technical pattern analysis with volume projection context
⚠️ Limitations
Volume predictions become less accurate over longer time horizons
Performance varies based on market conditions and asset characteristics
Works best on liquid assets with consistent volume patterns
Requires sufficient historical data for pattern recognition
Sudden market events can disrupt prediction accuracy
Volume spikes may be muted in predictions due to normalization
💡 What Makes This Unique
Machine Learning Approach : Applies Lorentzian distance metrics for robust pattern matching
Algorithm Selection : Offers multiple prediction methods to suit different market conditions
Real-time Accuracy Tracking : Provides continuous feedback on prediction performance
Forward Projection : Visualizes multiple future bars with configurable display options
Normalized Scale : Presents volume as a percentage of maximum volume for consistent analysis
Interactive Dashboard : Displays key metrics with customizable appearance and placement
🔬 How It Works
The Volume Predictor processes market data through five main steps:
1. Volume Normalization:
Converts raw volume to percentage of maximum volume in lookback period
Creates consistent scale representation across different timeframes and assets
Stores historical normalized volumes for pattern analysis
2. Pattern Detection:
Identifies similar volume patterns in historical data
Uses Lorentzian distance metrics for robust similarity measurement
Determines strength of pattern match for prediction weighting
3. Algorithm Processing:
Applies selected prediction algorithm to historical patterns
For KNN/Lorentzian: Finds K nearest neighbors and calculates weighted prediction
For Ensemble: Combines multiple methods with optimized weighting
For EMA/Linear Regression: Projects trends based on statistical models
4. Accuracy Calculation:
Compares previous predictions to actual outcomes
Calculates average error and prediction accuracy
Updates performance metrics in real-time
5. Visualization:
Displays normalized actual volume with color-coding
Shows current and future volume predictions
Presents performance metrics through interactive dashboard
💡 Note:
The Volume Predictor performs optimally on liquid assets with established volume patterns. It’s most effective when used in conjunction with price action analysis and other technical indicators. The multi-algorithm approach allows adaptation to different market conditions by switching prediction methods. Pay special attention to the accuracy metrics when evaluating prediction reliability, as sudden market changes can temporarily reduce prediction quality. The normalized percentage scale makes the indicator consistent across different assets and timeframes, providing a standardized approach to volume analysis.
Money Flow Divergence IndicatorOverview
The Money Flow Divergence Indicator is designed to help traders and investors identify key macroeconomic turning points by analyzing the relationship between U.S. M2 money supply growth and the S&P 500 Index (SPX). By comparing these two crucial economic indicators, the script highlights periods where market liquidity is outpacing or lagging behind stock market growth, offering potential buy and sell signals based on macroeconomic trends.
How It Works
1. Data Sources
S&P 500 Index (SPX500USD): Tracks the stock market performance.
U.S. M2 Money Supply (M2SL - Federal Reserve Economic Data): Represents available liquidity in the economy.
2. Growth Rate Calculation
SPX Growth: Percentage change in the S&P 500 index over time.
M2 Growth: Percentage change in M2 money supply over time.
Growth Gap (Delta): The difference between M2 growth and SPX growth, showing whether liquidity is fueling or lagging behind market performance.
3. Visualization
A histogram displays the growth gap over time:
Green Bars: M2 growth exceeds SPX growth (potential bullish signal).
Red Bars: SPX growth exceeds M2 growth (potential bearish signal).
A zero line helps distinguish between positive and negative growth gaps.
How to Use It
✅ Bullish Signal: When green bars appear consistently, indicating that liquidity is outpacing stock market growth. This suggests a favorable environment for buying or holding positions.
❌ Bearish Signal: When red bars appear consistently, meaning stock market growth outpaces liquidity expansion, signaling potential overvaluation or a market correction.
Best Timeframes for Analysis
This indicator works best on monthly timeframes (M) since it is designed for long-term investors and macro traders who focus on broad economic cycles.
Who Should Use This Indicator?
📈 Long-term investors looking for macroeconomic trends.
📊 Swing traders who incorporate liquidity analysis in their strategies.
💰 Portfolio managers assessing market liquidity conditions.
🚀 Use this indicator to stay ahead of market trends and make informed investment decisions based on macroeconomic liquidity shifts! 🚀
Lowess Channel + (RSI) [ChartPrime]The Lowess Channel + (RSI) indicator applies the LOWESS (Locally Weighted Scatterplot Smoothing) algorithm to filter price fluctuations and construct a dynamic channel. LOWESS is a non-parametric regression method that smooths noisy data by fitting weighted linear regressions at localized segments. This technique is widely used in statistical analysis to reveal trends while preserving data structure.
In this indicator, the LOWESS algorithm is used to create a central trend line and deviation-based bands. The midline changes color based on trend direction, and diamonds are plotted when a trend shift occurs. Additionally, an RSI gauge is positioned at the end of the channel to display the current RSI level in relation to the price bands.
lowess_smooth(src, length, bandwidth) =>
sum_weights = 0.0
sum_weighted_y = 0.0
sum_weighted_xy = 0.0
sum_weighted_x2 = 0.0
sum_weighted_x = 0.0
for i = 0 to length - 1
x = float(i)
weight = math.exp(-0.5 * (x / bandwidth) * (x / bandwidth))
y = nz(src , 0)
sum_weights := sum_weights + weight
sum_weighted_x := sum_weighted_x + weight * x
sum_weighted_y := sum_weighted_y + weight * y
sum_weighted_xy := sum_weighted_xy + weight * x * y
sum_weighted_x2 := sum_weighted_x2 + weight * x * x
mean_x = sum_weighted_x / sum_weights
mean_y = sum_weighted_y / sum_weights
beta = (sum_weighted_xy - mean_x * mean_y * sum_weights) / (sum_weighted_x2 - mean_x * mean_x * sum_weights)
alpha = mean_y - beta * mean_x
alpha + beta * float(length / 2) // Centered smoothing
⯁ KEY FEATURES
LOWESS Price Filtering – Smooths price fluctuations to reveal the underlying trend with minimal lag.
Dynamic Trend Coloring – The midline changes color based on trend direction (e.g., bullish or bearish).
Trend Shift Diamonds – Marks points where the midline color changes, indicating a possible trend shift.
Deviation-Based Bands – Expands above and below the midline using ATR-based multipliers for volatility tracking.
RSI Gauge Display – A vertical gauge at the right side of the chart shows the current RSI level relative to the price channel.
Fully Customizable – Users can adjust LOWESS length, band width, colors, and enable or disable the RSI gauge and adjust RSIlength.
⯁ HOW TO USE
Use the LOWESS midline as a trend filter —bullish when green, bearish when purple.
Watch for trend shift diamonds as potential entry or exit signals.
Utilize the price bands to gauge overbought and oversold zones based on volatility.
Monitor the RSI gauge to confirm trend strength—high RSI near upper bands suggests overbought conditions, while low RSI near lower bands indicates oversold conditions.
⯁ CONCLUSION
The Lowess Channel + (RSI) indicator offers a powerful way to analyze market trends by applying a statistically robust smoothing algorithm. Unlike traditional moving averages, LOWESS filtering provides a flexible, responsive trendline that adapts to price movements. The integrated RSI gauge enhances decision-making by displaying momentum conditions alongside trend dynamics. Whether used for trend-following or mean reversion strategies, this indicator provides traders with a well-rounded perspective on market behavior.
Volume-Weighted MA Crossover [AlphaAlgos]Volume-Weighted MA Crossover
Overview:
The Volume-Weighted MA Crossover is a sophisticated trend-following indicator designed to capture reliable trend reversals and trend continuation signals using volume and price action. By combining the power of Volume-Weighted Moving Averages (VWMA) and the simplicity of Simple Moving Averages (SMA) , this indicator provides a more robust and reliable trend filter. It ensures that trend signals are supported by strong market volume, offering a deeper insight into market strength and potential price movements.
How It Works:
The Volume-Weighted MA Crossover indicator calculates a Volume-Weighted Moving Average (VWMA) of the chosen price source (typically close ), which takes into account both the price and volume of each bar. This ensures that price movements with higher volume are weighted more heavily, providing a better reflection of actual market sentiment.
In conjunction with the VWMA, a traditional Simple Moving Average (SMA) is used to filter out noise and smooth price data, providing a more stable trend direction. The crossover between the VWMA and SMA serves as the primary trading signal:
Long Signal (Bullish Crossover) : The VWMA crosses above the SMA, indicating that a strong bullish trend is likely underway, supported by increased volume and price action.
Short Signal (Bearish Crossover) : The VWMA crosses below the SMA, signaling that a bearish trend is emerging, backed by decreasing volume and price reversal.
The Volume-Weighted MA Crossover can be used as a standalone indicator or in conjunction with other tools to enhance your trading strategy, offering both trend-following and volume confirmation.
Key Features:
Volume Sensitivity : The VWMA adjusts the moving average based on volume, providing a more accurate representation of price action during high-volume periods. This makes the indicator more sensitive to market dynamics, ensuring that price movements during significant volume spikes are prioritized.
Trend Confirmation : The crossover of the VWMA and SMA offers clear and actionable signals, helping traders identify trend reversals early and with more confidence.
Clean Signal Presentation : With color-coded signal markers , this indicator makes it easy to spot actionable entry points.
Customizable Settings : Tailor the VWMA and SMA periods, volume multiplier, and source price according to your preferred market conditions and timeframes, allowing the indicator to fit your trading style.
How to Use It:
Trend Direction : Look for crossovers between the VWMA and SMA to identify potential trend changes:
Volume Confirmation : The volume-weighted aspect of this indicator ensures that trends are confirmed by volume. A bullish trend with a VWMA crossing above the SMA suggests that the upward movement is supported by strong market sentiment (high volume). Conversely, a bearish trend with a VWMA crossing below the SMA indicates a reversal is supported by volume reduction.
Trend Continuation & Reversal : This indicator works particularly well during strong trending markets. However, it can also identify potential reversals, particularly during periods of high volume and rapid price changes.
Best Timeframe to Use:
This indicator is adaptable to multiple timeframes and can be used across various market types. However, it tends to work most effectively on medium to long-term charts (such as 1-hour, 4-hour, and daily charts) where trends have the potential to develop more clearly and with more volume participation.
Ideal for:
Trend-following traders looking for reliable signals that are confirmed by both price action and volume.
Swing traders who want to enter trades at the beginning of a new trend or after a confirmed trend reversal.
Day traders seeking clear and easy-to-read signals on intra-day charts, helping to pinpoint optimal entry and exit points during volatile market conditions.
Conclusion:
The Volume-Weighted MA Crossover is an essential tool for any trader looking to improve their trend-following strategy. By incorporating both volume and price action into a VWMA and SMA crossover , it offers a more refined approach to identifying and confirming trends. Whether you're a trend follower , swing trader , or day trader , this indicator provides clear, actionable signals backed by volume confirmation, giving you the confidence to execute your trades with precision.
ADX + DMI (HMA Version)📝 Description (What This Indicator Does)
🚀 ADX + DMI (HMA Version) is a trend strength oscillator that enhances the traditional ADX by using the Hull Moving Average (HMA) instead of EMA.
✅ This results in a much faster and more responsive trend detection while filtering out choppy price action.
🎯 What This Indicator Does:
1️⃣ Measures Trend Strength – ADX shows when a trend is strong or weak.
2️⃣ Identifies Trend Direction – DI+ (Green) shows bullish momentum, DI- (Red) shows bearish momentum.
3️⃣ Uses Hull Moving Average (HMA) for Faster Signals – Removes lag and reacts faster to trend changes.
4️⃣ Reduces False Signals – Traditional ADX lags behind, but this version reacts quickly to reversals.
5️⃣ Good for Scalping & Day Trading – Especially for BTC 5-min and lower timeframes.
⚙ Indicator Inputs (Customization)
Input Name Example Value Purpose
ADX Length 14 Defines the smoothing for the ADX value.
DI Length 14 Defines how DI+ and DI- are calculated.
HMA Length 24 Hull Moving Average smoothing for ADX & DI+.
Trend Threshold 25 The level above which ADX confirms a strong trend.
📌 You can adjust these settings to optimize for different assets and timeframes.
🎯 Trading Rules & How to Use It
✅ How to Identify a Strong Trend:
When ADX (Blue Line) is above 25→ A strong trend is in play.
When ADX is below 25 → The market is choppy or ranging.
✅ How to Use DI+ and DI- for Trend Direction:
If DI+ (Green) is above DI- (Red), the market is in an uptrend.
If DI- (Red) is above DI+ (Green), the market is in a downtrend.
✅ How to Confirm Entries & Exits:
1️⃣ Enter Long when DI+ crosses above DI- while ADX is rising above 25.
2️⃣ Enter Short when DI- crosses above DI+ while ADX is rising above 25.
3️⃣ Avoid trading when ADX is below 25 – the market is in a choppy range.
This should not be used as a stand alone oscillator. Trading takes skill and is risky. Use at your own risk.
This is not advise on how to trade, these are just examples of how I use the oscillator. Trade at your own risk.
You can put this on your chart versus the tradingview adx and you can adjust the settings to see the difference. This was optimized for btc on the 5 min chart. You can adjust for your trading strategy.
ICT Bread and Butter Sell-SetupICT Bread and Butter Sell-Setup – TradingView Strategy
Overview:
The ICT Bread and Butter Sell-Setup is an intraday trading strategy designed to capitalize on bearish market conditions. It follows institutional order flow and exploits liquidity patterns within key trading sessions—London, New York, and Asia—to identify high-probability short entries.
Key Components of the Strategy:
🔹 London Open Setup (2:00 AM – 8:20 AM NY Time)
The London session typically sets the initial directional move of the day.
A short-term high often forms before a downward push, establishing the daily high.
🔹 New York Open Kill Zone (8:20 AM – 10:00 AM NY Time)
The New York Judas Swing (a temporary rally above London’s high) creates an opportunity for short entries.
Traders fade this move, anticipating a sell-off targeting liquidity below previous lows.
🔹 London Close Buy Setup (10:30 AM – 1:00 PM NY Time)
If price reaches a higher timeframe discount array, a retracement higher is expected.
A bullish order block or failure swing signals a possible reversal.
The risk is set just below the day’s low, targeting a 20-30% retracement of the daily range.
🔹 Asia Open Sell Setup (7:00 PM – 2:00 AM NY Time)
If institutional order flow remains bearish, a short entry is taken around the 0-GMT Open.
Expect a 15-20 pip decline as the Asian range forms.
Strategy Rules:
📉 Short Entry Conditions:
✅ New York Judas Swing occurs (price moves above London’s high before reversing).
✅ Short entry is triggered when price closes below the open.
✅ Stop-loss is set 10 pips above the session high.
✅ Take-profit targets liquidity zones on higher timeframes.
📈 Long Entry (London Close Reversal):
✅ Price reaches a higher timeframe discount array between 10:30 AM – 1:00 PM NY Time.
✅ A bullish order block confirms the reversal.
✅ Stop-loss is set 10 pips below the day’s low.
✅ Take-profit targets 20-30% of the daily range retracement.
📉 Asia Open Sell Entry:
✅ Price trades slightly above the 0-GMT Open.
✅ Short entry is taken at resistance, targeting a quick 15-20 pip move.
Why Use This Strategy?
🚀 Institutional Order Flow Tracking – Aligns with smart money concepts.
📊 Precise Session Timing – Uses market structure across London, New York, and Asia.
🎯 High-Probability Entries – Focuses on liquidity grabs and engineered stop hunts.
📉 Optimized Risk Management – Defined stop-loss and take-profit levels.
This strategy is ideal for traders looking to trade with institutions, fade liquidity grabs, and capture high-probability short setups during the trading day. 📉🔥
Quarterly Theory ICT 03 [TradingFinder] Precision Swing Points🔵 Introduction
Precision Swing Point (PSP) is a divergence pattern in the closing of candles between two correlated assets, which can indicate a potential trend reversal. This structure appears at market turning points and highlights discrepancies between the price behavior of two related assets.
PSP typically forms in key timeframes such as 5-minute, 15-minute, and 90-minute charts, and is often used in combination with Smart Money Concepts (SMT) to confirm trade entries.
PSP is categorized into Bearish PSP and Bullish PSP :
Bearish PSP : Occurs when an asset breaks its previous high, and its middle candle closes bullish, while the correlated asset closes bearish at the same level. This divergence signals weakness in the uptrend and a potential price reversal downward.
Bullish PSP : Occurs when an asset breaks its previous low, and its middle candle closes bearish, while the correlated asset closes bullish at the same level. This suggests weakness in the downtrend and a potential price increase.
🟣 Trading Strategies Using Precision Swing Point (PSP)
PSP can be integrated into various trading strategies to improve entry accuracy and filter out false signals. One common method is combining PSP with SMT (divergence between correlated assets), where traders identify divergence and enter a trade only after PSP confirms the move.
Additionally, PSP can act as a liquidity gap, meaning that price tends to react to the wick of the PSP candle, making it a favorable entry point with a tight stop-loss and high risk-to-reward ratio. Furthermore, PSP combined with Order Blocks and Fair Value Gaps in higher timeframes allows traders to identify stronger reversal zones.
In lower timeframes, such as 5-minute or 15-minute charts, PSP can serve as a confirmation for more precise entries in the direction of the higher timeframe trend. This is particularly useful in scalping and intraday trading, helping traders execute smarter entries while minimizing unnecessary stop-outs.
🔵 How to Use
PSP is a trading pattern based on divergence in candle closures between two correlated assets. This divergence signals a difference in trend strength and can be used to identify precise market turning points. PSP is divided into Bullish PSP and Bearish PSP, each applicable for long and short trades.
🟣 Bullish PSP
A Bullish PSP forms when, at a market turning point, the middle candle of one asset closes bearish while the correlated asset closes bullish. This discrepancy indicates weakness in the downtrend and a potential price reversal upward.
Traders can use this as a signal for long (buy) trades. The best approach is to wait for price to return to the wick of the PSP candle, as this area typically acts as a liquidity level.
f PSP forms within an Order Block or Fair Value Gap in a higher timeframe, its reliability increases, allowing for entries with tight stop-loss and optimal risk-to-reward ratios.
🟣 Bearish PSP
A Bearish PSP forms when, at a market turning point, the middle candle of one asset closes bullish while the correlated asset closes bearish. This indicates weakness in the uptrend and a potential price decline.
Traders use this pattern to enter short (sell) trades. The best entry occurs when price retests the wick of the PSP candle, as this level often acts as a resistance zone, pushing price lower.
If PSP aligns with a significant liquidity area or Order Block in a higher timeframe, traders can enter with greater confidence and place their stop-loss just above the PSP wick.
Overall, PSP is a highly effective tool for filtering false signals and improving trade entry precision. Combining PSP with SMT, Order Blocks, and Fair Value Gaps across multiple timeframes allows traders to execute higher-accuracy trades with lower risk.
🔵 Settings
Mode :
2 Symbol : Identifies PSP and PCP between two correlated assets.
3 Symbol : Compares three assets to detect more complex divergences and stronger confirmation signals.
Second Symbol : The second asset used in PSP and correlation calculations.
Third Symbol : Used in three-symbol mode for deeper PSP and PCP analysis.
Filter Precision X Point : Enables or disables filtering for more precise PSP and PCP detection. This filter only identifies PSP and PCP when the base asset's candle qualifies as a Pin Bar.
Trend Effect : By changing the Trend Effect status to "Off," all Pin bars, whether bullish or bearish, are displayed regardless of the current market trend. If the status remains "On," only Pin bars in the direction of the main market trend are shown.
Bullish Pin Bar Setting : Using the "Ratio Lower Shadow to Body" and "Ratio Lower Shadow to Higher Shadow" settings, you can customize your bullish Pin bar candles. Larger numbers impose stricter conditions for identifying bullish Pin bars.
Bearish Pin Bar Setting : Using the "Ratio Higher Shadow to Body" and "Ratio Higher Shadow to Lower Shadow" settings, you can customize your bearish Pin bar candles. Larger numbers impose stricter conditions for identifying bearish Pin bars.
🔵 Conclusion
Precision Swing Point (PSP) is a powerful analytical tool in Smart Money trading strategies, helping traders identify precise market turning points by detecting divergences in candle closures between correlated assets. PSP is classified into Bullish PSP and Bearish PSP, each playing a crucial role in detecting trend weaknesses and determining optimal entry points for long and short trades.
Using the PSP wick as a key liquidity level, integrating it with SMT, Order Blocks, and Fair Value Gaps, and analyzing higher timeframes are effective techniques to enhance trade entries. Ultimately, PSP serves as a complementary tool for improving entry accuracy and reducing unnecessary stop-outs, making it a valuable addition to Smart Money trading methodologies.
Ichimoku BoxIntroducing Ichimoku Box Indicator:
Key Features:
Customizable Box Periods: Adjustable box periods with default settings of 9, 26, and 52.
Shifted Span A and Span B Points: Easily adjustable shifts and colors.
Additional Box Option: Capability to add an extra box for more detailed analysis.
High and Low Markers: Identifies the highest and lowest candle within each box with distinct markers.
Candle Countdown Timer: Displays the remaining candles before a box loses its high or low.
Drag-and-Drop Functionality: Move boxes to any position on the chart with a vertical line.
Automatic Box Drawing: When the indicator is first applied, a vertical line appears on the mouse cursor, and clicking on any point automatically draws the boxes.
How It Works:
The indicator allows users to visualize Ichimoku periods as boxes, highlighting key price levels and shifts in market structure. It simplifies the analysis process by providing visual cues and customizable settings for enhanced flexibility.
Alpha Wave System @DaviddTechAlpha Wave DaviddTech System by DaviddTech is an advanced, meticulously engineered trading indicator adhering strictly to the DaviddTech methodology. Rather than simply combining popular indicators, Alpha Wave strategically integrates specially-selected technical components—each optimized to enhance their combined strengths while neutralizing individual weaknesses, providing traders with clear, consistent, and high-probability trading signals.
Valid Setup:
🎯 Why This Combination Matters:
Quantum Adaptive Moving Average (Baseline):
This advanced adaptive MA provides superior responsiveness to market shifts by dynamically adjusting its sensitivity, clearly indicating the primary market direction and reducing lag compared to standard moving averages.
WavePulse Indicator (CoralChannel-based Confirmation #1):
Precisely detects shifts in momentum and price acceleration, allowing traders to anticipate trend continuation or reversals effectively, significantly enhancing trade accuracy.
Quantum Channel (G-Channel-based Confirmation #2):
Dynamically captures price volatility ranges, offering reliable trend structure validation and clear support/resistance channels, further increasing signal reliability.
Momentum Density (Volatility Filter):
Ensures traders enter only during optimal volatility conditions by quantifying momentum intensity, effectively filtering out low-quality, low-momentum scenarios.
Dynamic ATR-based Trailing Stop (Exit System):
Automatically manages trade exits with optimized ATR-based stop levels, systematically securing profits while effectively managing risk.
These meticulously integrated components reinforce each other's strengths, providing traders with a robust, disciplined, and clearly structured approach aligned with the DaviddTech methodology.
🔥 Latest Update – Enhanced BUY & SELL Signals:
Alpha Wave now clearly displays automated BUY and SELL signals directly on your chart, coupled with a comprehensive dashboard table for immediate signal validation. Signals appear only when all components—including baseline, confirmations, and volatility—are in alignment, significantly improving trade accuracy and confidence.
📌 How Traders Benefit from the New Signals:
BUY Signal: Execute long trades when Quantum Adaptive MA signals bullish, confirmed by bullish WavePulse momentum, bullish Quantum Channel structure, and strong Momentum Density readings.
SELL Signal: Clearly marked for entering short positions under bearish market conditions verified through Quantum Adaptive MA, WavePulse bearish momentum, Quantum Channel confirmation, and sufficient Momentum Density.
Signal Validation: A dedicated dashboard provides immediate visual strength metrics, allowing traders to quickly validate signals before execution, significantly enhancing trading discipline and consistency.
📊 Recommended DaviddTech Trading Plan:
Baseline: Determine overall market direction using Quantum Adaptive MA. Only trade in the indicated baseline direction.
Confirmations: Validate potential entries with WavePulse and Quantum Channel alignment.
Volatility Filter: Confirm sufficient market volatility with Momentum Density before entry.
Trailing Stop Loss: Manage risk and secure profits using the dynamic ATR-based trailing stop system.
Entries & Exits: Only execute trades when signals and dashboard components unanimously align.
🖼️ Visual Examples:
Alpha Wave by DaviddTech clearly demonstrates how an intelligently integrated system provides significantly superior trading insights compared to standalone indicators, ensuring precise, disciplined, and profitable market entries and exits across all trading environments.
