RSI from Rolling VWAP [CHE]Introducing the RSI from Rolling VWAP Indicator
Elevate your trading strategy with the RSI from Rolling VWAP —a cutting-edge indicator designed to provide unparalleled insights and enhance your decision-making on TradingView. This advanced tool seamlessly integrates the Relative Strength Index (RSI) with a Rolling Volume-Weighted Average Price (VWAP) to deliver precise and actionable trading signals.
Why Choose RSI from Rolling VWAP ?
- Clear Trend Detection: Our enhanced algorithms ensure accurate identification of bullish and bearish trends, allowing you to capitalize on market movements with confidence.
- Customizable Time Settings: Tailor the time window in days, hours, and minutes to align perfectly with your unique trading strategy and market conditions.
- Flexible Moving Averages: Select from a variety of moving average types—including SMA, EMA, WMA, and more—to smooth the RSI, providing clearer trend analysis and reducing market noise.
- Threshold Alerts: Define upper and lower RSI thresholds to effortlessly spot overbought or oversold conditions, enabling timely and informed trading decisions.
- Visual Enhancements: Enjoy a visually intuitive interface with color-coded RSI lines, moving averages, and background fills that make interpreting market data straightforward and efficient.
- Automatic Signal Labels: Receive immediate bullish and bearish labels directly on your chart, signaling potential trading opportunities without the need for constant monitoring.
Key Features
- Inspired by Proven Tools: Building upon the robust foundation of TradingView's Rolling VWAP, our indicator offers enhanced functionality and greater precision.
- Volume-Weighted Insights: By incorporating volume into the VWAP calculation, gain a deeper understanding of price movements and market strength.
- User-Friendly Configuration: Easily adjust settings to match your trading preferences, whether you're a novice trader or an experienced professional.
- Hypothesis-Driven Analysis: Utilize hypothetical results to backtest strategies, understanding that past performance does not guarantee future outcomes.
How It Works
1. Data Integration: Utilizes the `hlc3` (average of high, low, and close) as the default data source, with customization options available to suit your trading needs.
2. Dynamic Time Window: Automatically calculates the optimal time window based on an auto timeframe or allows for fixed time periods, ensuring flexibility and adaptability.
3. Rolling VWAP Calculation: Accurately computes the Rolling VWAP by balancing price and volume over the specified time window, providing a reliable benchmark for price action.
4. RSI Analysis: Measures momentum through RSI based on Rolling VWAP changes, smoothed with your chosen moving average for enhanced trend clarity.
5. Actionable Signals: Detects and labels bullish and bearish conditions when RSI crosses predefined thresholds, offering clear indicators for potential market entries and exits.
Seamless Integration with Your TradingView Experience
Adding the RSI from Rolling VWAP to your TradingView charts is straightforward:
1. Add to Chart: Simply copy the Pine Script code into TradingView's Pine Editor and apply it to your desired chart.
2. Customize Settings: Adjust the Source Settings, Time Settings, RSI Settings, MA Settings, and Color Settings to align with your trading strategy.
3. Monitor Signals: Watch for RSI crossings above or below your set thresholds, accompanied by clear labels indicating bullish or bearish trends.
4. Optimize Your Trades: Leverage the visual and analytical strengths of the indicator to make informed buy or sell decisions, maximizing your trading potential.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Get Started Today
Transform your trading approach with the RSI from Rolling VWAP indicator. Experience the synergy of momentum and volume-based analysis, and unlock the potential for more accurate and profitable trades.
Download now and take the first step towards a more informed and strategic trading journey!
For further inquiries or support, feel free to contact
Best regards
Chervolino
Inspired by the acclaimed Rolling VWAP by TradingView
Indicatori e strategie
Z-Scored Moving Average Suite [KFB Quant]Z-Scored Moving Average Suite
This indicator combines several types of moving averages—Simple, Exponential, and Weighted—with a Z-Score calculation to give a clearer understanding of price trends in relation to their historical averages. It is used to detect overbought (OB) and oversold (OS) conditions, allowing you to see when an asset is deviating significantly from its mean.
Key Components:
Moving Averages: The suite includes Simple (SMA), Exponential (EMA), and Weighted (WMA) Moving Averages. For each, a single, double, and triple version is calculated to smooth out noise.
Z-Score: The Z-Score measures how far the current price is from its moving average in terms of standard deviations, helping to highlight unusual price behavior.
Overbought and Oversold Levels:
- When the Z-Score crosses above a predefined threshold (1.5 by default), the asset is considered Overbought (OB).
- When the Z-Score drops below a certain level (-1.5 by default), the asset is seen as Oversold (OS).
Visualization:
- The histogram represents the average Z-Score of all the moving averages combined, colored based on bullish (blue) or bearish (brown) trends.
- Individual Z-Scores for each moving average type (SMA, EMA, WMA) are also plotted, providing further insight into the momentum and direction.
Signals:
- The table in the chart shows a summary of Z-Scores for each type of moving average. It also provides a quick glance at whether the asset is in a bullish or bearish phase, if the Z-Scores are rising or falling, and whether the asset is overbought or oversold.
This tool is highly customizable, with adjustable lengths for the moving averages and Z-Scores, making it a flexible addition to any trading strategy that relies on mean-reversion or trend analysis.
Disclaimer: This tool is provided for informational and educational purposes only and should not be considered as financial advice. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.
OBV based on MADescription:
This indicator calculates On-Balance Volume (OBV) based on the direction of a Simple Moving Average (SMA). Instead of using price movements, this OBV adds or subtracts volume depending on whether the SMA is rising or falling.
SMA-based OBV: When the SMA rises, the volume is added to the OBV. When the SMA falls, the volume is subtracted from the OBV. This allows traders to observe cumulative volume in relation to the wave patterns created by the SMA.
SMA Period: The period of the SMA can be customized, allowing traders to adjust it according to the wave size they want to observe.
While the cumulative volume indicator already exists, traders who analyze volume patterns can use this indicator to more easily conduct volume analysis across different wave sizes.
Inputs:
SMA Period: Defines the lookback period for calculating the Simple Moving Average (default is 25).
Ideal for:
Traders who want to analyze volume flow relative to moving average trends, rather than price movements. This can help identify underlying strength or weakness in market trends.
説明:
このインジケーターは、単純移動平均（SMA）の方向に基づいてオンバランス・ボリューム（OBV）を計算します。価格の動きではなく、SMAが上昇しているときは出来高を加算し、SMAが下降しているときは出来高を減算します。
SMA基準のOBV: SMAが上昇している場合はOBVに出来高が加算され、SMAが下降している場合は出来高が減算されます。これにより、SMAが作る波形に即した累積出来高を観察することができます。
SMA期間: トレーダーが見たい波のサイズ感に応じて、SMAの期間をカスタマイズできます。
既に累積出来高（Cumulative Volume）というインジケーターは存在しますが、波形を基に出来高を分析しているトレーダーは、このインジケーターを使うことで、様々なサイズの波形に即した出来高分析をより簡単に行うことができます。
入力項目:
SMA期間: 単純移動平均の計算に使用される期間を定義します（デフォルトは25）。
適しているトレーダー:
より波形に即した累積出来高分析を重視するトレーダーに最適です。
MB - Currency Strength ROCCurrency Strength ROC Enhanced is a technical indicator designed to measure and visualize the relative strength of different currencies in the foreign exchange market. Using a Rate of Change (ROC) approach and moving averages, this indicator provides valuable insights into the dynamics of currency strengths.
Key Features:
Relative Strength Measurement:
Calculates the strength of each currency relative to others, allowing you to identify which currencies are appreciating or depreciating.
Strength Histogram:
Presents normalized strength in a histogram format, making it easy to quickly see areas of positive (green) and negative (red) strength
Moving Averages:
Includes moving averages of normalized strength and trend, providing a clear view of the overall direction of strength over time.
Overbought and Oversold Zones:
Highlights critical levels of strength through horizontal lines, allowing traders to identify potential trend reversals.
Volume Trend Swing Points | viResearchVolume Trend Swing Points | viResearch
Conceptual Foundation and Innovation
The "Volume Trend Swing Points" script is designed to identify pivotal swing points in market trends by leveraging the Price Volume Trend (PVT) indicator. This unique approach combines price and volume movements to highlight moments when a market may experience a significant trend reversal. By detecting the highest and lowest points of the PVT over customizable periods, this script aims to provide traders with valuable insights into potential bullish or bearish market behavior.
The simplicity of the script, combined with its use of the PVT, offers an effective way for traders to anticipate key market swings based on both price and volume momentum.
Technical Composition and Calculation
The core of the "Volume Trend Swing Points" script is built around the Price Volume Trend (PVT) indicator, which adjusts price changes according to trading volume. The script focuses on identifying the highest and lowest values of the PVT over user-defined lookback periods:
Price Volume Trend (PVT): The PVT is used to calculate the momentum of price movements, taking volume into account. By incorporating both price and volume, the PVT offers a more dynamic and responsive indicator of trend direction compared to price alone.
Swing Point Detection: The script identifies the highest and lowest PVT values over user-defined lookback periods (x for highs and y for lows). When the current PVT matches either the highest or lowest value, it signals a potential trend reversal or continuation, depending on whether the high or low is detected.
Entry and Exit Signals: A long signal (bullish) is generated when the current PVT matches the highest value over the lookback period, while a short signal (bearish) is generated when the current PVT matches the lowest value. These signals can be visualized with alerts and background colors.
Features and User Inputs
The "Volume Trend Swing Points" script allows traders to customize several parameters to better suit their trading strategies and market conditions:
Lookback Periods (x and y): The script allows for two customizable lookback periods—one for detecting the highest PVT and another for the lowest. Adjusting these values can help refine the sensitivity of the swing points.
Bar Coloring: The script includes an optional setting to color the bars based on detected bullish or bearish trends, making it easier to visualize potential market shifts.
Background Colors: The background color changes dynamically based on whether a high or low swing point is detected, providing traders with a clear visual indication of potential trend reversals.
Alerts: The script includes alert conditions for both long and short signals, enabling traders to set notifications for when potential swing points are detected.
Practical Applications
The "Volume Trend Swing Points" script is ideal for traders who focus on price and volume dynamics when making trading decisions. Its application is particularly useful in the following scenarios:
Detecting Trend Reversals: By identifying the highest and lowest PVT values over a given period, the script can help traders spot potential reversal points, allowing for more timely entries or exits.
Confirming Trend Continuations: When the PVT continues to match the highest or lowest values, it may indicate that the trend is likely to continue, helping traders maintain their positions with greater confidence.
Volume-Based Trend Analysis: Since the script uses the PVT, it is particularly effective in markets where volume plays a significant role in driving price movements, offering insights that go beyond simple price-based indicators.
Advantages and Strategic Value
This script enhances traditional trend analysis by incorporating both price and volume through the PVT, providing a more comprehensive view of market momentum. The customizable lookback periods allow traders to adapt the script to different assets and timeframes, making it a versatile tool for swing trading and trend-following strategies.
The visual cues provided by bar coloring and background shading help traders quickly identify potential market shifts, improving decision-making speed and accuracy.
Summary and Usage Tips
The "Volume Trend Swing Points" script is a straightforward yet powerful tool for identifying market reversals and trend continuations based on both price and volume. By adjusting the lookback periods, traders can fine-tune the script to better suit their trading style and the assets they are monitoring. The visual and alert features further enhance the script's usability, making it easy to incorporate into a trading strategy.
Remember to backtest the script across various market conditions to better understand its performance. Past performance is not necessarily indicative of future results, so using this script in conjunction with other technical tools is recommended for optimal decision-making.
(MA-EWMA) with ChannelsHamming Windowed Volume-Weighted Bidirectional Momentum-Adaptive Exponential Weighted Moving Average
This script is an advanced financial indicator that calculates a Hamming Windowed Volume-Weighted Bidirectional Momentum-Adaptive Exponential Weighted Moving Average (MA-EWMA). It adapts dynamically to market conditions, adjusting key parameters like lookback period, momentum length, and volatility sensitivity based on price volatility.
Key Components:
Dynamic Adjustments: The indicator adjusts its lookback and momentum length using the ATR (Average True Range), making it more responsive to volatile markets.
Volume Weighting: It incorporates volume data, weighting the moving average based on the volume activity, adding further sensitivity to price movement.
Bidirectional Momentum: It calculates upward and downward momentum separately, using these values to determine the directional weighting of the moving average.
Hamming Window: This technique smooths the price data by applying a Hamming window, which helps to reduce noise in the data and enhances the accuracy of the moving average.
Channels: Instead of plotting a single line, the script creates dynamic channels, providing more context for support and resistance levels based on the market's behavior.
The result is a highly adaptive and sophisticated moving average indicator that responds dynamically to both price momentum and volume trends.
VIDYA with Dynamic Length Based on ICPThis script is a Pine Script-based indicator that combines two key concepts: the Instantaneous Cycle Period (ICP) from Dr. John Ehlers and the Variable Index Dynamic Average (VIDYA). Here's an overview of how the script works:
Components:
Instantaneous Cycle Period (ICP):
This part of the indicator uses Dr. John Ehlers' approach to detect the market cycle length dynamically. It calculates the phase of price movement by computing the in-phase and quadrature components of the price detrended over a specific period.
The ICP helps adjust the smoothing length dynamically, giving a real-time estimate of the dominant cycle in price action. The script uses a phase calculation, adjusts it for cycle dynamics, and smoothes it for more reliable readings.
VIDYA (Variable Index Dynamic Average):
VIDYA is a moving average that dynamically adjusts its smoothing length based on the market conditions, in this case, using the RSI (Relative Strength Index) as a weight.
The length of VIDYA is determined by the dynamically calculated ICP, allowing it to adapt to changing market cycles.
This indicator performs several recursive layers of VIDYA smoothing (applying VIDYA multiple times) to provide a more refined result.
Key Features:
Dynamic Length: The length for the VIDYA calculation is derived from the smoothed ICP value, meaning that the smoothing adapts to the detected cycle length in real-time, making the indicator more responsive to market conditions.
Multiple VIDYA Layers: The script applies multiple layers of VIDYA smoothing (up to 5 iterations), further refining the output to smooth out market noise while maintaining responsiveness.
Plotting: The final smoothed VIDYA value and the smoothed ICP length are plotted. Additionally, overbought (70) and oversold (30) horizontal lines are provided for visual reference.
Application:
This indicator helps identify trends, smooths out price data, and adapts dynamically to market cycles. It's useful for detecting shifts in momentum and trends, and traders can use it to identify overbought or oversold conditions based on dynamically calculated thresholds.
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.
Sweep + MSS# Sweep + MSS Indicator
This indicator identifies market sweeps and Market Structure Shifts (MSS) to help traders recognize potential trend changes and market manipulations.
How it works:
1. Sweep Detection:
- Identifies when price briefly moves beyond a recent high/low (pivot point) and then reverses.
- Bullish sweep: Price drops below a recent low, then closes above it.
- Bearish sweep: Price rises above a recent high, then closes below it.
2. Market Structure Shift (MSS):
- Occurs when price action invalidates a previous sweep level.
- Bullish MSS: Price closes above a bearish sweep level.
- Bearish MSS: Price closes below a bullish sweep level.
Key Features:
- Customizable pivot lookback length for sweep detection
- Minimum bar requirement after a sweep before MSS can trigger
- One MSS per sweep level to avoid multiple signals
- Visual representation with lines connecting sweep points to MSS triggers
- Emoji labels for easy identification (🐂-MSS for bullish, 🐻-MSS for bearish)
Logic Behind MSS:
The MSS aims to identify potential trend changes by recognizing when the market invalidates a previous sweep level. This often indicates a shift in market structure, suggesting that the previous trend may be weakening or reversing.
- A bullish MSS occurs when the price closes above a bearish sweep level, potentially signaling a shift from bearish to bullish sentiment.
- A bearish MSS occurs when the price closes below a bullish sweep level, potentially signaling a shift from bullish to bearish sentiment.
By requiring a minimum number of bars between the sweep and the MSS, the indicator helps filter out noise and focuses on more significant structural changes in the market.
This indicator can be a valuable tool for traders looking to identify potential trend changes and entry/exit points based on market structure analysis.
UtilityLibrary "Utility"
A utility library for various trading tools such as signal generation, custom indicators, and multi-condition crossovers.
multiCrossover(source1, source2, threshold1, threshold2)
multiCrossover
@description Detects multi-condition crossovers between two sources with threshold filters.
Parameters:
source1 (float) : The first data series to compare.
source2 (float) : The second data series to compare.
threshold1 (float) : A value that source1 must exceed to trigger the crossover.
threshold2 (float) : A value that source2 must exceed to trigger the crossunder.
Returns: A tuple: (crossUp, crossDown) where crossUp is a boolean for upward crossover, and crossDown is for downward crossover.
macdCustom(source, fastLength, slowLength, signalLength, macdThresh)
macdCustom
@description Calculates custom MACD signals based on thresholds.
Parameters:
source (float) : The price data or input series.
fastLength (simple int) : The length of the fast EMA.
slowLength (simple int) : The length of the slow EMA.
signalLength (simple int) : The signal line length.
macdThresh (float) : A threshold for the MACD line to confirm buy/sell signals.
Returns: A tuple: (macdBuySignal, macdSellSignal) where macdBuySignal is true when MACD crosses above, and macdSellSignal is true when MACD crosses below the signal line.
combinedMacdRsi(source, fastLength, slowLength, signalLength, rsiLength, macdThresh, rsiThresh)
combinedMacdRsi
@description Generates combined signals from MACD and RSI indicators.
Parameters:
source (float) : The price data or input series.
fastLength (simple int) : The length of the fast EMA for MACD.
slowLength (simple int) : The length of the slow EMA for MACD.
signalLength (simple int) : The signal line length for MACD.
rsiLength (simple int) : The length of the RSI calculation.
macdThresh (float) : The threshold for MACD signals.
rsiThresh (float) : The threshold for RSI signals.
Returns: A tuple: (buySignal, sellSignal) where buySignal is generated when MACD is positive and RSI is below the threshold, and sellSignal when MACD is negative and RSI is above the threshold.
movingAverageCrossover(source, shortLength, longLength)
movingAverageCrossover
@description Detects crossovers between short-term and long-term moving averages.
Parameters:
source (float) : The price data or input series.
shortLength (int) : The length of the short-term moving average.
longLength (int) : The length of the long-term moving average.
Returns: A tuple: (crossUp, crossDown) where crossUp is true when the short-term MA crosses above the long-term MA, and crossDown when the reverse occurs.
BTC ETF Flow Trading SignalsTracks large money flows (500M+) across major Bitcoin ETFs (IBIT, BTCO, FBTC, ARKB, BITB)
Generates long/short signals based on institutional money movement
Shows flow trends and strength of movements
This script provides a foundation for comparing ETF inflows and Bitcoin price. The effectiveness of the analysis depends on the quality of the data and your interpretation of the results. Key levels of 500M and 350M Inflow/Outflow Enjoy
Collaboration with Vivid Vibrations
Enjoy & improve!
Highest Single-Day Percentage Change (Close to Close)This Pine Script is designed to calculate and display the largest percentage change in stock price between consecutive days' closing prices. Here's a high-level breakdown of what the script does:
Daily Percentage Change Calculation:
It calculates how much the stock price changed from the previous day's close to the current day's close. The change is expressed as a percentage of the previous day's closing price.
Tracking the Highest Change:
The script keeps track of the largest percentage increase or decrease it has encountered in the dataset (from previous close to current close). It updates the value if a new day exceeds the current largest recorded percentage change.
Visual Representation:
The daily percentage changes are plotted as a line graph, allowing you to see how the stock's price fluctuates from one day to the next.
A separate line is drawn to represent the highest percentage change detected so far.
If a day's price change matches the highest recorded change, a label appears on the chart to highlight that specific point.
Dynamic Updates:
The script is dynamic, meaning it continually updates as new data comes in. So, as new days are added to the chart, the script checks if the percentage change exceeds the previously highest recorded value.
Why This Is Useful:
For traders and investors: It provides a quick way to identify which day saw the most significant price movement, helping to spot major market events or volatility.
For historical analysis: You can quickly find the most extreme single-day price swings in a stock's historical data, which might be useful for understanding past market behavior or making predictions about future moves.
Saturn Retrograde PeriodsSaturn Retrograde Periods Visualizer for TradingView
This Pine Script visualizes all Saturn retrograde periods since 2009, including the current retrograde ending on November 15, 2024. The script overlays yellow boxes on your TradingView chart to highlight the exact periods of Saturn retrograde. It's a great tool for astrologically-inclined traders or those interested in market timing based on astrological events.
Key Features:
Full Historical Coverage: Displays Saturn retrograde periods from 2009 (the inception of Bitcoin) to the current retrograde ending in November 2024.
Customizable Appearance: You can easily adjust the color and opacity of the boxes directly from the script's settings window, making it flexible for various chart styles.
Visual Clarity: The boxes span the full vertical range of your chart, ensuring the retrograde periods are clearly visible over any asset, timeframe, or price action.
How to Use:
Add the script to your TradingView chart.
Adjust the color and opacity in the settings to suit your preferences.
View all relevant Saturn retrograde periods and analyze how these astrological events may align with price movements in your selected asset.
This script is perfect for traders and analysts who want to combine astrology with financial market analysis!
scripted by chat.gpt - version 1.0
[EmreKb] Combined CandlesThis script combines multiple candlestick patterns into a single, unified candle when they are of the same type (bullish or bearish). Instead of displaying every individual candle on the chart, it merges consecutive candles based on their direction to simplify the visual analysis of price movements.
What It Does:
Combines Candles: If two or more consecutive candles are bullish (close price higher than open price) or bearish (close price lower than open price), the script merges them into a single candle, adjusting the high, low, and close values accordingly.
Displays Merged Candles: The merged candles are drawn on the chart. A green bar represents a bullish period, while a red bar represents a bearish period.
How It Works:
The script tracks whether each candle is bullish or bearish.
If a candle is the same type as the previous one, it updates the combined candle (adjusting the high, low, and close values).
When the type changes (from bullish to bearish or vice versa), it finalizes the current combined candle and starts a new one.
The merged candles are displayed on the chart at the end of the data series.
Use Case:
This script simplifies price action by grouping similar candles together, making it easier to identify trends and spot periods of sustained buying or selling pressure. It can help traders focus on the overall direction of the market rather than being distracted by small fluctuations between individual candles.
Wave Anchor IndicatorThe Wave Anchor Indicator is designed to mark the crossing of overbought and oversold levels of higher time frame momentum waves, based on the VuManChu Cipher B+Divergences Wave Trend Indicator. This tool is inspired by the TP Mint trading strategy, which relies heavily on the momentum waves of Market Cipher B or VuManChu Cipher B for identifying optimal entry and exit points.
Key Concept: Anchored Waves
In the TP Mint strategy, momentum waves in overbought (above 60) or oversold (below -60) conditions on higher time frames are considered "anchored." These anchored waves provide strong signals for entries and take-profit points when viewed on lower time frames. The Wave Anchor Indicator focuses on these anchor conditions to help traders make informed decisions by seeing higher time frame anchor states directly on the entry time frame chart.
How It Works
Labeling Signals:
- On lower time frames, such as the 15-minute chart, the indicator shows labels when higher
time frame momentum waves (1-hour and 4-hour) cross the overbought or oversold levels.
- Labels above price indicate overbought conditions, with green labels when the wave crosses
upward and red labels when crossing downward.
- Labels below price signal oversold conditions, with red for a downward cross and green for an
upward cross.
- Each label displays the time frame of the crossing momentum wave, providing context for
traders at a glance.
Time Frame Pairings:
- On the 15-minute time frame, the indicator tracks anchor conditions from the 1-hour and 4-
hour time frames.
- On the 1-hour chart, it monitors 4-hour and daily time frame anchor conditions.
Customization and Alerts
Flexible Display Options : Users can choose to display none, one, or both of the grouped higher time frame labels, depending on their strategy and preferences.
Alerts : The indicator also allows for custom alerts when a label appears, helping traders stay on top of key market movements without constantly monitoring the chart.
Use Cases
This indicator is ideal for traders who use momentum-based strategies across multiple time frames. It simplifies the process of identifying key entry and exit points by focusing on the anchor conditions from higher time frames, making it easier to execute the TP Mint strategy or similar methods.
Thank you to VuManChu and LazyBear for mamking the momentum wave code open source and allowing it’s use in this indicator.
Time Vertical LinesVLines - Time-Based Vertical Lines with Zones
This PineScript indicator creates vertical time lines with customizable zones between them. Perfect for marking trading sessions, key market times, or any time-based analysis.
Key Features:
- 5 configurable time lines
- 3 customizable zones (between lines 1-2, 2-3, and 4-5)
- Each zone features:
- Background shading
- Horizontal lines at high/low points
- Independent color controls
- Adjustable line styles and widths
- Time zone offset adjustment
- Option to show/hide historical lines
Installation Instructions:
1. Open TradingView's Pine Script Editor
2. Create a new script
3. Copy and paste the entire code
4. Add to Chart
Setup Guide:
1. Time Zone Adjustment:
- Find the "Time Zone Offset (Hours)" setting
- Adjust if lines appear at wrong times
- Example: If lines appear 3 hours early, set offset to 3
2. Basic Time Lines (1-3):
- Each line has settings for:
- Hour (0-23)
- Minute (0-59)
- Color
- Show/Hide toggle
3. Session Lines (4-5):
- Special lines typically used for session marking
- Same settings as basic lines
- Default red color to distinguish from other lines
4. Zone Customization:
Three separate zones are available:
- Zone 1-2 (between first and second lines)
- Zone 2-3 (between second and third lines)
- Zone 4-5 (between fourth and fifth lines)
Each zone can be customized with:
- Background color and transparency
- Horizontal line color
- Line style (Solid/Dashed/Dotted)
- Line width
- Individual show/hide toggles for zone and lines
5. Additional Settings:
- "Show Historical Lines" - toggle to show/hide lines on previous days
- Global line style and width settings for vertical lines
Suggested Uses:
1. Mark pre-market, market, and post-market sessions
2. Highlight specific trading windows
3. Track time-based support/resistance levels
4. Monitor price ranges during specific time periods
Tips:
- Start by setting just one zone to get familiar with the controls
- Use different colors for different sessions/time periods
- Adjust transparency to maintain chart visibility
- Use the show/hide toggles to focus on specific times
- The horizontal lines automatically mark the high/low range between time points
Daily Volume Metrics BoxDaily Volume Metrics Box
A powerful tool for monitoring intraday trading metrics in real-time. This indicator provides a clean, customizable display of key market statistics that reset daily.
🔑 Key Features:
- Daily Volume Distribution - Track positive and negative volume separately
- Net Volume Analysis - Monitor the balance of buying vs selling volume
- Average Candle Size - Dynamic calculation of recent price movement magnitude
- Flexible Positioning - Place the metrics box in any corner of your chart
- Auto-Reset - All metrics automatically reset at the start of each trading day
- Current Date Display - Always know which day's data you're viewing
📊 Metrics Explained:
1. Avg Size: Average candle size over your specified lookback period
2. Pos Vol: Accumulated volume from up-moves during the current day
3. Neg Vol: Accumulated volume from down-moves during the current day
4. Net Vol: The difference between positive and negative volume (Pos Vol - Neg Vol)
⚙️ Customization Options:
- Number of candles for average (1-∞)
- Background color and transparency
- Text color
- Box position (Top/Bottom, Left/Right)
- Distance from chart edge (1-5 bars)
📌 Usage Tips:
- Use larger lookback periods for more stable average candle size
- Position the box where it won't interfere with your chart analysis
- Monitor net volume for potential trend strength confirmation
- Compare positive and negative volume for insight into price momentum
🔄 Daily Reset:
All volume metrics reset at the start of each trading day, ensuring you're always looking at current day data only.
Perfect for day traders, swing traders, and anyone who wants to monitor intraday market dynamics with clean, organized metrics.
Note: This indicator works best on intraday timeframes where volume data is available.
Fluid Dynamics-Inspired Indicator with Bidirectional ScalingThe "Enhanced Fluid Dynamics-Inspired Indicator with Bidirectional Scaling" is a sophisticated technical analysis tool that draws inspiration from the principles of fluid dynamics to measure both upward and downward price movements, while also incorporating volatility and momentum into its calculations. The indicator aims to provide traders with a clear understanding of market dynamics by analyzing "streamflow" (price and volume movements) in both directions, enhanced with adaptive scaling techniques.
Key Features:
Bidirectional Price Momentum:
The indicator separately calculates positive and negative momentum using the price's rate of change. This allows for independent analysis of upward and downward price movements, providing a balanced view of the market's direction.
Streamflow Model:
The "streamflow" is calculated by multiplying volume flow with price momentum. This approach treats the market as a fluid system, where the momentum and volume of trades influence the flow of prices in both upward and downward directions. Streamflow is calculated independently for each direction.
Adaptive Volatility Scaling:
Volatility is dynamically calculated using the Average True Range (ATR) and is weighted to adjust to varying market conditions. An adaptive logarithmic scaling factor is applied to the volatility to capture the dynamic nature of market environments.
DRMA (Displaced Rolling Moving Average):
The indicator uses the DRMA function to smooth out price and volume data, improving the accuracy of its measurements. This allows the indicator to capture longer-term trends while still being responsive to short-term fluctuations.
Non-Linear Scaling and Normalization:
To ensure that the output values are within a usable range, the indicator employs a sigmoid-based non-linear scaling function. This helps normalize the composite output, making it easier to interpret overbought and oversold conditions.
Visual Representation:
The indicator plots two separate lines for upward and downward market movements, making it easy to distinguish between bullish and bearish trends. Background colors are also used to highlight periods of strong upward or downward momentum, as well as high volatility.
Overbought/Oversold Conditions:
Upper and lower thresholds are used to signal potential overbought and oversold conditions. Alerts are triggered when the market moves into extreme levels, helping traders identify potential entry and exit points.
Usage:
This indicator is designed for traders who are looking for a more nuanced and dynamic tool to measure both bullish and bearish trends. By using bidirectional scaling, it provides clearer signals for market direction, while adaptive volatility and momentum adjustments ensure the indicator responds to different market environments. The alert conditions make it especially useful for timing trades in highly volatile conditions or when price movements reach extreme levels.
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
Macros ICT KillZones [TradingFinder] Times & Price Trading Setup🔵 Introduction
ICT Macros, developed by Michael Huddleston, also known as ICT (Inner Circle Trader), is a powerful trading tool designed to help traders identify the best trading opportunities during key time intervals like the London and New York trading sessions.
For traders aiming to capitalize on market volatility, liquidity shifts, and Fair Value Gaps (FVG), understanding and using these critical time zones can significantly improve trading outcomes.
In today’s highly competitive financial markets, identifying the moments when the market is seeking buy-side or sell-side liquidity, or filling price imbalances, is essential for maximizing profitability.
The ICT Macros indicator is built on the renowned ICT time and price theory, which enables traders to track and leverage key market dynamics such as breaks of highs and lows, imbalances, and liquidity hunts.
This indicator automatically detects crucial market times and optimizes strategies for traders by highlighting the specific moments when price movements are most likely to occur. A standout feature of ICT Macros is its automatic adjustment for Daylight Saving Time (DST), ensuring that traders remain synced with the correct session times.
This means you can rely on accurate market timing without the need for manual updates, allowing you to focus on capturing profitable trades during critical timeframes.
🔵 How to Use
The ICT Macros indicator helps you capitalize on trading opportunities during key market moments, particularly when the market is breaking highs or lows, filling Fair Value Gaps (FVG), or addressing imbalances. This indicator is particularly beneficial for traders who seek to identify liquidity, market volatility, and price imbalances.
🟣 Sessions
London Sessions
London Macro 1 :
UTC Time : 06:33 to 07:00
New York Time : 02:33 to 03:00
London Macro 2 :
UTC Time : 08:03 to 08:30
New York Time : 04:03 to 04:30
New York Sessions
New York Macro AM 1 :
UTC Time : 12:50 to 13:10
New York Time : 08:50 to 09:10
New York Macro AM 2 :
UTC Time : 13:50 to 14:10
New York Time : 09:50 to 10:10
New York Macro AM 3 :
UTC Time : 14:50 to 15:10
New York Time : 10:50 to 11:10
New York Lunch Macro :
UTC Time : 15:50 to 16:10
New York Time : 11:50 to 12:10
New York PM Macro :
UTC Time : 17:10 to 17:40
New York Time : 13:10 to 13:40
New York Last Hour Macro :
UTC Time : 19:15 to 19:45
New York Time : 15:15 to 15:45
These time intervals adjust automatically based on Daylight Saving Time (DST), helping traders to enter or exit trades during key market moments when price volatility is high.
Below are the main applications of this tool and how to incorporate it into your trading strategies :
🟣 Combining ICT Macros with Trading Strategies
The ICT Macros indicator can easily be used in conjunction with various trading strategies. Two well-known strategies that can be combined with this indicator include:
ICT 2022 Trading Model : This model is designed based on identifying market liquidity, structural price changes, and Fair Value Gaps (FVG). By using ICT Macros, you can identify the key time intervals when the market is seeking liquidity, filling imbalances, or breaking through important highs and lows, allowing you to enter or exit trades at the right moment.
Silver Bullet Strategy : This strategy, which is built around liquidity hunting and rapid price movements, can work more accurately with the help of ICT Macros. The indicator pinpoints precise liquidity times, helping traders take advantage of market shifts caused by filling Fair Value Gaps or correcting imbalances.
🟣 Capitalizing on Price Volatility During Key Times
Large market algorithms often seek liquidity or fill Fair Value Gaps (FVG) during the intervals marked by ICT Macros. These periods are when price volatility increases, and traders can use these moments to enter or exit trades.
For example, if sell-side liquidity is drained and the market fills an imbalance, the price might move toward buy-side liquidity. By identifying these moments, which may also involve breaking a previous high or low, you can leverage rapid market fluctuations to your advantage.
🟣 Identifying Liquidity and Price Imbalances
One of the important uses of ICT Macros is identifying points where the market is seeking liquidity and correcting imbalances. You can determine high or low liquidity levels in the market before each ICT Macro, as well as Fair Value Gaps (FVG) and price imbalances that need to be filled, using them to adjust your trading strategy. This capability allows you to manage trades based on liquidity shifts or imbalance corrections without needing a bias toward a specific direction.
🔵 Settings
The ICT Macros indicator offers various customization options, allowing users to tailor it to their specific needs. Below are the main settings:
Time Zone Mode : You can select one of the following options to define how time is displayed:
UTC : For traders who need to work with Universal Time.
Session Local Time : The local time corresponding to the London or New York markets.
Your Time Zone : You can specify your own time zone (e.g., "UTC-4:00").
Your Time Zone : If you choose "Your Time Zone," you can set your specific time zone. By default, this is set to UTC-4:00.
Show Range Time : This option allows you to display the time range of each session on the chart. If enabled, the exact start and end times of each interval are shown.
Show or Hide Time Ranges : Toggle on/off for visual clarity depending on user preference.
Custom Colors : Set distinct colors for each session, allowing users to personalize their chart based on their trading style.These settings allow you to adjust the key time intervals of each trading session to your preference and customize the time format according to your own needs.
🔵 Conclusion
The ICT Macros indicator is a powerful tool for traders, helping them to identify key time intervals where the market seeks liquidity or fills Fair Value Gaps (FVG), corrects imbalances, and breaks highs or lows. This tool is especially valuable for traders using liquidity-based strategies such as ICT 2022 or Silver Bullet.
One of the key features of this indicator is its support for Daylight Saving Time (DST), ensuring you are always in sync with the correct trading session timings without manual adjustments. This is particularly beneficial for traders operating across different time zones.
With ICT Macros, you can capitalize on crucial market opportunities during sensitive times, take advantage of imbalances, and enhance your trading strategies based on market volatility, liquidity shifts, and Fair Value Gaps.
DualTrend [CHE]DualTrend Indicator for TradingView
Overview
Introducing the DualTrend indicator, a powerful tool designed to enhance your trading strategies on TradingView. Inspired by the renowned HalfTrend Indicator developed by everget, DualTrend combines dual amplitude settings to provide clearer trend signals and more precise entry and exit points. Whether you're a beginner or an experienced trader, this indicator is crafted to assist you in making informed trading decisions with greater confidence.
Key Features
- Dual Amplitude Settings
- Fast Amplitude: Configurable to quickly respond to market changes, ideal for short-term trading.
- Slow Amplitude: Smoother and less sensitive, perfect for identifying long-term trends.
- Channel Deviation Control
- Customize the channel deviation to adjust the sensitivity of the trend lines based on market volatility.
- Visual Trade Signals
- Buy Signals: Indicated by green upward-pointing triangles below the price bars.
- Sell Signals: Indicated by red downward-pointing triangles above the price bars.
- Easily distinguishable signals to streamline your trading decisions.
- Customizable Alerts
- Set up alerts for buy and sell signals to stay informed in real-time, ensuring you never miss an opportunity.
- Clear Trend Lines
- Fast HalfTrend Line: Plotted in blue for quick trend identification.
- Slow HalfTrend Line: Plotted in orange for long-term trend analysis.
- User-Friendly Inputs
- Adjustable parameters to tailor the indicator to your specific trading style and market conditions.
How It Works
The DualTrend indicator calculates two HalfTrend lines based on different amplitude settings—Fast and Slow. These lines represent potential support and resistance levels derived from the average true range (ATR) and simple moving averages (SMA).
- Trend Detection:
- When the Fast HalfTrend line crosses above the Slow HalfTrend line, a Buy Signal is generated.
- Conversely, when the Fast HalfTrend line crosses below the Slow HalfTrend line, a Sell Signal is triggered.
- Adaptive Channels:
- The indicator dynamically adjusts the channels around the trend lines using ATR-based deviations, providing a responsive measure to market volatility.
Why Choose DualTrend ?
- Inspired by Excellence: Built upon the foundational principles of the HalfTrend Indicator by everget, DualTrend offers enhanced functionality and flexibility.
- Versatile Application: Suitable for various financial instruments, including stocks, forex, commodities, and cryptocurrencies.
- Educational Purpose: Designed to help traders understand and implement trend-following strategies effectively.
Disclaimer
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Installation & Usage
1. Add to TradingView:
- Copy the provided Pine Script code.
- Open TradingView and navigate to the Pine Script editor.
- Paste the code and save the script as "DualTrend ".
- Add the indicator to your chart.
2. Customize Settings:
- Adjust the Fast Amplitude and Slow Amplitude to match your trading preferences.
- Modify the Channel Deviation to control the sensitivity of the trend lines.
- Toggle Show Arrows to display or hide buy/sell signals.
3. Set Up Alerts:
- Configure alerts based on the buy and sell signals to receive real-time notifications.
Conclusion
Elevate your trading strategy with the DualTrend indicator. Leveraging the proven methodology of the HalfTrend Indicator by everget, this tool offers dual trend analysis, customizable settings, and clear visual signals to help you navigate the markets with precision. Whether you're aiming to capture short-term movements or identify long-term trends, DualTrend is your reliable companion on TradingView.
Happy Trading!
Best regards
Chervolino
This indicator is inspired by the well-known Everget HalfTrend:
Bernoulli Price Dynamics with IntraBar Volume (Bidirectional)This indicator adapts the principles of Bernoulli’s equation from fluid dynamics to analyze price and volume dynamics in the market. By incorporating intrabar volume data and splitting price movements into upward and downward components, it provides a bidirectional view of the market's kinetic and potential energies. This approach helps assess market pressure in both upward and downward directions, offering insights into potential price movement with energy-based mechanics.
Key Features:
Intrabar Volume Integration: The indicator collects up and down volume data from a lower timeframe, such as seconds or minutes, to provide more granular insights.
Bidirectional Market Pressure: By separating upward and downward price movements, it calculates market pressure in both directions, which is akin to fluid pressure. The separation enables tracking of distinct upward and downward energy flows in the market.
Energy Calculation:
Kinetic Energy: This represents the "movement" aspect of the price, weighted by volume. It is calculated for both upward and downward movements based on price velocity squared.
Potential Energy: This represents the "position" aspect of the price, calculated as the product of volume and the current price level. It is also separated into upward and downward components.
Market Pressure: The difference between the total energy (sum of kinetic and potential energies) and the highest observed total energy over a defined period (N). This provides an insight into the current momentum of price movement in both directions.
Visualization:
Market Pressure Up/Down: Plots the calculated market pressure for upward (green) and downward (red) movements.
Kinetic and Potential Energies: Provides individual plots for kinetic and potential energy in both directions to analyze the behavior of price and volume in more detail.
This indicator can be used to track market momentum and potential reversals by understanding the energy and pressure dynamics in both upward and downward price movements.
Enhanced volumeHi all!
This indicator plots volume at the bottom of the chart and the volume Moving Average (with the choice of Simple Moving Average (SMA) (default), Exponential Moving Average (EMA) and Volume Weighted Moving Average (VWMA)) and desired length (defaults to 20). It then changes the transparency of the volume (and the bars body) based on the close and the volume. It also changes the bar transparency. All these visual changes can be configured in the "Style" tab in the indicators settings.
The opacity will be high when the close is considered to be a "Strong close (%)" and has a bigger volume than any of the red closing in the last 10 bars. This "Strong close (%)" is defaulted to 50 which means that the bar needs to close equal or higher than 50% of the bar.
You also have an option to include red bars, which are excluded by default.
This indicator can help you to spot bars with relevant volume and find reversals.
I hope this explanation makes sense, let me know otherwise. Also let me know if you have any suggestions on improvements.
Best of trading luck!
