[blackcat] L1 Swing Reversal█ OVERVIEW
The script is an indicator that calculates and plots the L1 Swing Reversal, which involves smoothing price data and calculating a modified RSI to identify potential swing reversals in the market. It overlays columns representing the smoothed price data and a line for the adjusted RSI.
█ LOGICAL FRAMEWORK
The script begins by defining input parameters for customizable periods. It then calculates the typical price, derives components of the swing reversal indicator, smooths these components, and computes an adjusted RSI. The main sections include input parameter definitions, function definition, and plotting. The script flows data through calculations and logical operations to produce final plot values.
█ CUSTOM FUNCTIONS
Function: l1_swing_reversal
This function calculates the L1 Swing Reversal indicators based on high, low, close, and open prices, along with three periods. It computes a smoothed price component and an adjusted RSI.
Parameters:
• high : High prices of the asset.
• low : Low prices of the asset.
• close : Close prices of the asset.
• period_n : Period for the first component calculation.
• period_m : Period for standard deviation and moving average calculations.
• period_n1 : Period for RSI calculation.
Return Values:
• cc1_column_red : Red column values for the first component.
• cc1_column_green : Green column values for the first component.
• rsi : Adjusted RSI values.
█ KEY POINTS AND TECHNIQUES
The script uses several key Pine Script features such as the sma (simple moving average), stdev (standard deviation), max, abs, and ema (exponential moving average) functions. It also demonstrates the use of conditional operators to cap the column values at -100 and 100. The script’s structure is clear and follows best practices by encapsulating the main logic within a function and using descriptive variable names.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
Potential modifications could include adding more sophisticated reversal signals based on the RSI and column values, or enhancing the visualization with additional plot types. This script could be used in scenarios where traders are interested in identifying potential swing reversals using a combination of smoothed price data and momentum indicators. Related Pine Script concepts include using barssince for counting bars since a condition, crossover and crossunder for detecting trend changes, and hline for adding horizontal lines to the chart.
Indicators and strategies
Adaptive Volatility-Scaled Oscillator [AVSO] (Zeiierman)█ Overview
The Adaptive Volatility-Scaled Oscillator (AVSO) is a dynamic trading indicator that measures and visualizes volatility-adjusted market behavior. By scaling various metrics (such as volume, price changes, standard deviation, ATR, and Yang-Zhang volatility) and applying adaptive smoothing, AVSO helps traders identify market conditions where volatility deviates significantly from the norm.
This indicator uses standardized scaling (Z-Score logic) to highlight periods of abnormally high or low volatility relative to recent history. With gradient coloring and clear volatility zones, AVSO provides a visually intuitive way to analyze market volatility and adapt trading strategies accordingly.
█ How It Works
⚪ Scaling Metrics: The indicator scales user-selected metrics (e.g., volume, ATR, standard deviation) relative to the market and price, providing a standardized volatility measure.
⚪ Z-Score Standardization: The scaled metric is normalized using a Z-Score to measure how far current volatility deviates from its recent mean.
Positive Z-Score: Above-average volatility.
Negative Z-Score: Below-average volatility.
⚪ Adaptive Smoothing: An Adaptive EMA smooths the Z-Score, dynamically adjusting its length based on the strength of the volatility. Stronger deviations result in shorter smoothing, increasing responsiveness.
█ Unique Feature: Yang-Zhang Volatility
The Yang-Zhang volatility estimator sets this indicator apart by providing a more robust and accurate measure of volatility compared to traditional methods like ATR or standard deviation.
⚪ What Makes Yang-Zhang Volatility Unique?
Comprehensive Calculation: It combines overnight price gaps (log returns from the previous close to the current open) and intraday price movements (high, low, and close).
Accurate for Gapped Markets: Traditional volatility measures can misrepresent price movement when significant gaps occur between sessions. Yang-Zhang accounts for these gaps, making it highly reliable for assets prone to overnight price jumps, such as stocks, cryptocurrencies, and futures.
Adaptable to Real Market Conditions : By including both close-to-open returns and intraday volatility, it provides a balanced and adaptive measure that captures the full volatility picture.
⚪ Why This Matters to Traders
Better Volatility Insights: Yang-Zhang offers a clearer view of true market volatility, especially in markets with price gaps or uneven trading sessions.
Improved Trade Timing: By identifying volatility spikes and calm periods more effectively, traders can time their entries and exits with greater confidence.
█ How to Use
Identify High and Low Volatility
A high Z-Score (>2) indicates significant market volatility. This can signal momentum-driven moves, breakouts, or areas of increased risk.
A low Z-Score (<-2) suggests low volatility or a calm market environment. This often occurs before a potential breakout or reversal.
Trade Signals
High Volatility Zones (background highlight): Monitor for potential breakouts, trend continuations, or reversals.
Low Volatility Zones: Anticipate range-bound conditions or upcoming volatility spikes.
█ Settings
Source: Select the price source for scaling calculations (close, high, low, open).
Metric Measure: Choose the volatility measure:
Volume: Scales raw volume.
Close: Uses closing price changes.
Standard Deviation: Price dispersion.
ATR: Average True Range.
Yang: Yang-Zhang volatility estimate.
Bars to Analyze: Number of historical bars used to calculate the mean and standard deviation of the scaled metric.
ATR / Standard Deviation Period: Lookback period for ATR or Standard Deviation calculation.
Yang Volatility Period: Period for the Yang-Zhang volatility estimator.
Smoothing Period: Base smoothing length for the adaptive smoothing line.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Up and Downwhat is "Up and Down"?
It is an indicator designed to show you in detail on the chart and warn you when there is an increase or decrease in the market at a level that you consider important.
what it does?
When the price difference between a top and bottom is greater than the level you selected (the default input is 10 percent), it indicates this along with the percentage value on the chart. Then, it indicates the start and end points with lines so that you can see the change from where to where. It shows the price's current percentage distance from the last bottom or top in the upper right corner.
it also colors the candles so you can better understand how fast the price is moving. The greener the candles, the stronger the rise, and conversely, the greater the decline, the redder the candles. Of course, if you set an alarm, it will tell you in which trading pair, in which time period, at what percentage and in which direction there is a movement.
how it does it?
It uses a moving average with a short length to find bottoms and tops. It then measures the distance from the last peak to the bottom and expresses it as a percentage. It uses momentum using the moving average as a source to paint the candles. To compress this momentum between the values 255 and 0, I used a formula that I also used in my limited fisher transform work (because the inputs in the color.rgb function take values between 0 and 255). It was a bit challenging to use the lines correctly, but with the "ta.valuewhen" function and a little experimenting, they were I made sure they were drawn correctly.
how to use it?
It is quite simple to use. First, select the minimum interval you want to receive alarms. If you make this value too high, you will not receive any alarms; if you make it too low, you will receive too many alarms. Choose the range that will benefit you most for the trading pair you are using. Then all you have to do is set an alarm. When you set an alarm, leave the note section blank and the indicator will send you the necessary information.
TASC 2025.01 Linear Predictive Filters█ OVERVIEW
This script implements a suite of tools for identifying and utilizing dominant cycles in time series data, as introduced by John Ehlers in the "Linear Predictive Filters And Instantaneous Frequency" article featured in the January 2025 edition of TASC's Traders' Tips . Dominant cycle information can help traders adapt their indicators and strategies to changing market conditions.
█ CONCEPTS
Conventional technical indicators and strategies often rely on static, unchanging parameters, which may fail to account for the dynamic nature of market data. In his article, John Ehlers applies digital signal processing principles to address this issue, introducing linear predictive filters to identify cyclic information for adapting indicators and strategies to evolving market conditions.
This approach treats market data as a complex series in the time domain. Analyzing the series in the frequency domain reveals information about its cyclic components. To reduce the impact of frequencies outside a range of interest and focus on a specific range of cycles, Ehlers applies second-order highpass and lowpass filters to the price data, which attenuate or remove wavelengths outside the desired range. This band-limited analysis isolates specific parts of the frequency spectrum for various trading styles, e.g., longer wavelengths for position trading or shorter wavelengths for swing trading.
After filtering the series to produce band-limited data, Ehlers applies a linear predictive filter to predict future values a few bars ahead. The filter, calculated based on the techniques proposed by Lloyd Griffiths, adaptively minimizes the error between the latest data point and prediction, successively adjusting its coefficients to align with the band-limited series. The filter's coefficients can then be applied to generate an adaptive estimate of the band-limited data's structure in the frequency domain and identify the dominant cycle.
█ USAGE
This script implements the following tools presented in the article:
Griffiths Predictor
This tool calculates a linear predictive filter to forecast future data points in band-limited price data. The crosses between the prediction and signal lines can provide potential trade signals.
Griffiths Spectrum
This tool calculates a partial frequency spectrum of the band-limited price data derived from the linear predictive filter's coefficients, displaying a color-coded representation of the frequency information in the pane.
Griffiths Dominant Cycle
This tool compares the cyclic components within the partial spectrum and identifies the frequency with the highest power, i.e., the dominant cycle . Traders can use this dominant cycle information to tune other indicators and strategies, which may help promote better alignment with dynamic market conditions.
Notes on parameters
Bandpass boundaries:
In the article, Ehlers recommends an upper bound of 125 bars or higher to capture longer-term cycles for position trading. He recommends an upper bound of 40 bars and a lower bound of 18 bars for swing trading. If traders use smaller lower bounds, Ehlers advises a minimum of eight bars to minimize the potential effects of aliasing.
Data length:
The Griffiths predictor can use a relatively small data length, as autocorrelation diminishes rapidly with lag. However, for optimal spectrum and dominant cycle calculations, the length must match or exceed the upper bound of the bandpass filter. Ehlers recommends avoiding excessively long lengths to maintain responsiveness to shorter-term cycles.
Sell Signal - William O'Neil's Rule VisualizationThis indicator might be helpful for traders looking to visualize William O’Neil’s sell condition, a well-known concept in his trading strategies. A sell signal is triggered when:
1. Volume increases compared to the previous day.
2. The price drops by a user-defined percentage (default: 0.2% or more).
The indicator highlights the background for bars meeting these conditions and adds a subtle circle above them. You can adjust the drop rate in the settings to match your preferences.
It could serve as a useful tool for identifying potential distribution days or profit-taking signals, helping traders manage risk during market pullbacks.
このインジケーターは、ウィリアム・オニールの売り抜け条件を可視化したもので、トレーダーの皆さんに役立つかもしれません。シグナルは次の条件を満たすと発生します：
1. 出来高が前日より増加している。
2. 価格がユーザー指定の割合（デフォルトは0.2%以上）で下落している。
条件を満たしたバーには背景色が付き、控えめな丸印が表示されます。設定で下落率を自由に調整することもできます。
このツールは、分配日や利益確定のシグナルを特定するのに役立つかもしれません。市場の調整局面でのリスク管理にご活用ください。
Custom RSI & MACD Momentum Entry SignalsIndicator Explanation: Custom RSI & MACD Momentum Entry Signals
Introduction
The "Custom RSI & MACD Momentum Entry Signals" indicator combines the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD) to generate precise long and short entry signals. This indicator offers a powerful combination of overbought/oversold zones, momentum analysis, and RSI-EMA crossovers to assist traders in making better decisions.
How the Indicator Works
1. RSI Calculation and EMA
The RSI is calculated based on the closing price with an adjustable period (default: 14).
An Exponential Moving Average (EMA) of the RSI (default: 9) is plotted to identify RSI trend changes.
When the RSI crosses its EMA upwards, it signals a bullish impulse. Conversely, a downward cross indicates a bearish impulse.
2. MACD Calculation and Momentum Shifts
The MACD line is derived from the difference between a fast EMA (default: 12) and a slow EMA (default: 26).
The Signal line is the EMA of the MACD line (default: 9).
The MACD histogram represents the difference between the MACD line and the Signal line.
Momentum shifts are detected as follows:
Weakening Bearish: Histogram is negative but increasing (less bearish pressure).
Strengthening Bullish: Histogram is positive and rising.
Weakening Bullish: Histogram is positive but decreasing.
Strengthening Bearish: Histogram is negative and falling.
Signal Generation
Long Signals
A Long signal is triggered when all of the following conditions are met:
The RSI was previously below 30 (oversold condition).
MACD momentum shifts from "strengthening bearish" to "weakening bearish" or turns bullish.
The RSI crosses its EMA upwards.
A green upward arrow is displayed below the bar, and the background is lightly shaded green for additional visualization.
Short Signals
A Short signal is triggered when all of the following conditions are met:
The RSI was previously above 70 (overbought condition).
MACD momentum shifts from "strengthening bullish" to "weakening bullish" or turns bearish.
The RSI crosses its EMA downwards.
A red downward arrow is displayed above the bar, and the background is lightly shaded red for additional visualization.
Visual Elements
RSI and EMA:
The RSI is shown in purple.
The RSI EMA is shown in blue.
Horizontal lines at 30 (oversold) and 70 (overbought) provide additional context.
MACD:
The MACD line is displayed in blue.
The Signal line is displayed in orange.
The zero line is added for easier interpretation.
Signals:
Green arrows: Long signals.
Red arrows: Short signals.
Background color: Light green for long conditions, light red for short conditions.
Use Cases
This indicator is ideal for:
Trend Followers: Combining RSI and MACD allows traders to identify entry points during impulsive trend shifts.
Swing Traders: Long and short signals can be used at reversal points to capture short-term price movements.
Momentum Traders: By considering MACD momentum, the indicator provides additional confidence in signal generation.
Customizable Settings
The indicator provides flexible input options:
RSI Period (default: 14)
RSI EMA Period (default: 9)
MACD Parameters: Fast, slow, and signal EMAs can be adjusted.
Conclusion
The Custom RSI & MACD Momentum Entry Signals indicator is a powerful tool for traders looking to combine RSI and MACD to identify high-probability entry signals. With clear visualization and precise signal generation, traders can make decisions more efficiently and capitalize on market movements.
Adjustable Entry Price Levels by Sobhi v6Adjustable Entry Price Levels", is designed to display customizable price levels on a chart, allowing traders to visualize key price zones relative to a chosen entry price. Here's a detailed breakdown of its functionality:
Purpose
The indicator helps traders create and manage equidistant price levels (both above and below a selected entry price). These levels can assist in planning trades, setting stop-loss and take-profit levels, or identifying key market zones for decision-making.
Features
Entry Price Input:
Users can specify a starting price (Entry Price) to base the levels on.
Adjustable Distance Between Levels:
Levels are spaced at a user-defined interval (Distance), creating equidistant horizontal lines.
Number of Levels:
Users can select how many levels to display above and below the entry price (Number of Levels).
Line Customization:
Style: Choose between Solid, Dotted, or Dashed lines.
Color: Customize the color for upward and downward levels (Line Color Up and Line Color Down).
Thickness: Adjust line thickness (Line Width).
Label Customization:
Visibility: Option to show or hide labels on each level (Show Labels).
Font Size: Set the size of the text for level labels (Label Font Size).
Colors: Separate customization for labels above (Label Color Up) and below (Label Color Down) the entry price.
Extended Line Display:
The lines extend backward (Extend Bars Back) and forward (Extend Bars Forward) to ensure visibility over a larger section of the chart.
Visualization
Upward Levels:
Represented by blue (default) horizontal lines above the entry price.
Labels display the price value of each level in the same color.
Downward Levels:
Represented by red (default) horizontal lines below the entry price.
Labels display the price value of each level in the same color.
Example Use Case
Scenario 1: Support and Resistance Planning
A trader can define a key level (Entry Price) and observe nearby support and resistance zones using the calculated price levels.
Scenario 2: Risk Management
The indicator helps in visualizing stop-loss and take-profit areas equidistant from the entry price.
Scenario 3: Breakout Targets
Traders can use the levels to anticipate potential breakout or breakdown targets.
Customization Options
This indicator is highly customizable, making it versatile for different trading strategies. Traders can tweak:
The visual appearance of the levels (style, color, width).
The number of levels and their spacing.
Whether labels are displayed and their style.
Mastering ATR for Smart Stop Loss and Take Profit PlacementUsing the ATR indicator to set Stop Loss and Take Profit levels provides a dynamic and flexible way to manage risk based on the volatility of the market. This method ensures that your SL and TP are always in tune with current market conditions, preventing unnecessary stop-outs while maximizing the potential for profit. The table in the script makes it easy to view your calculated levels directly on the chart, improving your trading efficiency.
If you're looking for a more automated way to manage your trades, integrating ATR-based SL and TP can be a powerful tool in your strategy.
Happy Trading!
G&S SMT### Description of the Pine Script
This Pine Script is designed to identify **Smart Money Technique (SMT)** setups between **Gold (GC1!)** and **Silver (SI1!) Futures** on a **15-minute timeframe**. It specifically looks for divergences between the price movements of Gold and Silver over the last 4 candles and compares it with the next candle's price movement. The script provides **Bullish** and **Bearish** signals for SMT during a specified time range of **8:45 AM EST to 10:30 AM EST**.
### Key Features of the Script:
1. **Futures Symbols**:
- The script uses **Gold Futures (GC1!)** and **Silver Futures (SI1!)** on a 15-minute timeframe to monitor their price movements.
2. **Time Range Filtering**:
- The signals are only active between **8:45 AM EST and 10:30 AM EST**, ensuring that the script only signals within the most relevant trading hours for your strategy.
3. **SMT Calculation (Last 4 Candles vs Next Candle)**:
- **Gold and Silver Price Change Calculation**: The script compares the price changes of **Gold** and **Silver** over the **last 4 candles** and then compares them with the price movement of the **next candle**:
- **Bullish SMT**: Occurs when Gold shows an increase in the last 4 candles while Silver shows a decrease, and both Gold and Silver show an increase in the next candle.
- **Bearish SMT**: Occurs when Gold shows a decrease in the last 4 candles while Silver shows an increase, and both Gold and Silver show a decrease in the next candle.
4. **Bullish and Bearish Signals**:
- **Bullish SMT Signal**: The script will plot a **green** arrow below the bar when a Bullish SMT setup is identified.
- **Bearish SMT Signal**: A **red** arrow above the bar is plotted when a Bearish SMT setup is identified.
5. **Gold and Silver Difference Plot**:
- The difference between the prices of **Gold** and **Silver** is plotted as a **blue line**, giving a visual representation of the relationship between the two assets. When the difference line moves significantly, it can indicate a potential divergence or convergence in the prices of Gold and Silver.
### Script Logic Breakdown:
1. **Price Change for Last 4 Candles**:
- The script calculates the price change for Gold and Silver from the 4th-to-last candle to the last candle.
- `gold_change_last4` and `silver_change_last4` calculate these price differences.
2. **Price Change for Next Candle**:
- It then calculates the price change from the last candle to the next candle.
- `gold_change_next` and `silver_change_next` calculate these price differences.
3. **Bullish SMT Condition**:
- If Gold increased while Silver decreased in the last 4 candles, and both Gold and Silver show an increase in the next candle, it indicates a **Bullish SMT**.
4. **Bearish SMT Condition**:
- If Gold decreased while Silver increased in the last 4 candles, and both Gold and Silver show a decrease in the next candle, it indicates a **Bearish SMT**.
5. **Time Filter**:
- Signals are only plotted when the current time is between **8:45 AM EST and 10:30 AM EST** to match your preferred trading hours.
### Visualization:
- **Bullish Signals**: Plotted as **green arrows** below the bars when a Bullish SMT setup is identified.
- **Bearish Signals**: Plotted as **red arrows** above the bars when a Bearish SMT setup is identified.
- **Gold - Silver Difference**: A **blue line** is plotted to show the price difference between Gold and Silver, helping visualize any divergence.
### How It Helps:
- **Divergence Identification**: This script highlights potential divergences between Gold and Silver Futures, which can provide insights into market sentiment and smart money movements.
- **Focus on Relevant Time Frame**: By filtering signals between 8:45 AM EST and 10:30 AM EST, you are focusing on a timeframe that can be more beneficial for trading.
- **Visual Clarity**: The arrows and the price difference line provide clear signals and a visual representation of the relationship between Gold and Silver, helping you make informed trading decisions.
This script is an automated approach to detecting **SMT setups** and helping traders recognize when Gold and Silver might be signaling a bullish or bearish move based on their divergence patterns.
Inside Bar Breakout/Fakeout with AI Scenarios [Yosiet]Inside Bar Breakout/Fakeout Indicator with Scenarios
The Indicator is a powerful tool for traders looking to identify potential breakout and fakeout opportunities based on inside bar patterns. This indicator combines multiple technical analysis concepts to provide a comprehensive view of market behavior, helping traders make more informed decisions.
Key Features
Inside bar detection with filtering
Breakout and fakeout identification
Three distinct scenario detections
Customizable moving average calculations
Flexible visualization options
Alert conditions for various events
How It Works
The indicator identifies inside bars and filters them based on a maximum number of consecutive inside bars. It then detects breakouts and fakeouts using user-defined parameters. The script also calculates moving averages to determine trend direction.
Three specific scenarios are detected:
Strong breakout followed by a strong reversal
Weak breakout with multiple doji/weak candles
Strong breakout without reversal
These scenarios are visually represented on the chart, allowing traders to quickly identify potential trading opportunities.
How to Use
Apply the indicator to your chart
Adjust the input parameters to suit your trading style
Look for inside bar patterns and subsequent breakouts/fakeouts
Pay attention to the three scenario markers for additional context
Use the alert conditions to stay informed of potential opportunities
Bondar Drive v2.1Title: Bondar Drive v2.1 — Real-time print and delta tick volume visualization
Description:
Bondar Drive v2.1 is a tool for visualizing real-time order flow data. It highlights price movements and volume deltas in an intuitive, easy-to-read format. Indicator can be used in conjunction with the Anchored Volume Profile and Volume Footprint (Type: Total).
Features:
Real-Time Print Visualization:
Displays order flow prints with delta colors for buy/sell dominance.
Adjustable size and transparency for varying order thresholds.
Volume Delta Analysis:
Categorizes orders into Tiny, Small, Session, Large, and Huge based on user-defined thresholds.
Provides a tooltip showing order time and price.
Customizable Time Range:
Keeps prints visible for a specified duration (in seconds).
Flexible User Inputs:
Adjustable time zones, print sizes, starting bar index, and volume thresholds.
Visual Enhancements:
Line connections between prints show progression of orders and market direction.
How It Works:
The indicator gathers volume delta and price data in real time.
It dynamically displays circular labels with varying sizes and colors, reflecting the size and type of orders. Labels and lines are automatically removed after the specified time range, ensuring a clean and uncluttered chart.
Customization Options:
Number of Prints: Control how many prints are displayed.
Order Size Filters: Exclude small trades to highlight significant orders.
Color Options: Customize print colors, text, and connecting lines.
Time Offset: Adjust for your local time zone.
Use Cases:
Identify order flow imbalances and price levels dominated by buyers or sellers.
Track the progression of large orders for better trade execution.
Spot market reversals and momentum shifts using real-time prints and delta.
Previous Key Levels (fadi)Previous Key Levels indicator is a highly configurable OHLC levels tool designed to provide traders with the ability to plot multiple levels while minimizing screen clutter. This indicator is perfect for those who want to monitor various timeframes simultaneously without overloading their charts with unnecessary information.
How to Use It
This indicator offers traders the flexibility to track up to 6 higher timeframes (HTFs) and multiple candles for each timeframe. For example, a trader can choose to monitor the OHLC of the last four 4-hour candles, providing a comprehensive view of significant price levels over different periods.
Key Features
Highly Configurable: Customize the number of timeframes and candles to suit your trading strategy.
Minimal Screen Clutter: Efficiently plot multiple levels without overwhelming your chart.
Flexible Application: Ideal for identifying support and resistance levels, liquidity sweeps, target levels, and more, adapting to various trading styles.
Traders have diverse trading styles and preferences. Some may use these levels to identify support and resistance zones, while others might look for liquidity sweeps or set target levels. By offering a high degree of customization, the Previous Key Levels indicator caters to the unique needs of individual traders, helping them make informed decisions based on historical price action across multiple timeframes.
Timeframe Settings
Toggle to track 6 HTF settings and the number of candles to track for each.
Limit to next HTFs only can be used to limit the HTF levels displayed based on the current timeframe.
Hide Above will disable the indicator above the specified interval.
Offset to Left and Right are used to specify where the level line starts and ends based on the current candle.
Offset between HTFs extends HTF levels to become more readable.
HTF Settings
Choice of the OHLC levels to track.
Specify the color, line style, and line width for each level.
Mark the start of that level, for example, draw a vertical line where the 4H candle has started.
Trace back to draw optional lines to track back to the origin of the level.
Label Settings
Highly configurable labels that allow traders to customize the labels to their liking.
Label color, background, and size.
Customize using up to 9 configurable parts.
Fading Levels
To prevent clutter, the indicator offers the option to change the transparency of the levels based on their distance from the current price. The distance is calculated based on a configurable Average True Range (ATR).
Change Transparency to a percentage of its current color.
Range should be within X candles will fade any level that is X candles length away from the current price.
ATR length used in calculation will calculate the average size of candles in the calculation.
Hourly 20 EMA on 5m ChartThis indicator shows the hourly 20ema on any current time frame that is open on your charts
Volume-MACD-RSI Integrated StrategyDescription:
This script integrates three well-known technical analysis tools—Volume, MACD, and RSI—into a single signal meant to help traders identify potential turning points under strong market conditions.
Concept Overview:
Volume Filter: We compare the current bar’s volume to a 20-period volume average and require it to exceed a specified multiplier. This ensures that signals occur only during periods of heightened market participation. The logic is that moves on low volume are less reliable, so we wait for increased activity to confirm potential trend changes.
MACD Momentum Shift:
We incorporate MACD crossovers to determine when momentum is changing direction. MACD is a popular momentum indicator that identifies shifts in trend by comparing short-term and long-term EMAs. A bullish crossover (MACD line crossing above the signal line) may suggest upward momentum is building, while a bearish crossunder can indicate momentum turning downward.
RSI Market Condition Check:
RSI helps us identify overbought or oversold conditions. By requiring that RSI be oversold on buy signals and overbought on sell signals, we attempt to pinpoint entries where price could be at an extreme. The idea is to position entries or exits at junctures where price may be due for a reversal.
How the Script Works Together:
Volume Confirmation: No signals fire unless there’s strong volume. This reduces false positives.
MACD Momentum Check: Once volume confirms market interest, MACD crossover events serve as a trigger to initiate consideration of a trade signal.
RSI Condition: Finally, RSI determines whether the market is at an extreme. This final layer helps ensure we only act on signals that have both momentum shift and a price at an extreme level, potentially increasing the reliability of signals.
Intended Use:
This script can help highlight potential reversal points or trend shifts during active market periods.
Traders can use these signals as a starting point for deeper analysis. For instance, a “BUY” arrow may prompt a trader to investigate the market context, confirm with other methods, or look for patterns that further support a long entry.
The script is best used on markets with reliable volume data, such as stocks or futures, and can be experimented with across different timeframes. Adjusting the RSI thresholds, MACD parameters, and volume multiplier can help tailor it to specific instruments or trading styles.
Chart Setup:
When adding this script to your chart, it should be the only indicator present, so you can clearly see the red “BUY” arrows and green “SELL” arrows at the candle closes where signals occur.
The chart should be kept clean and uncluttered for clarity. No other indicators are necessary since the logic is already integrated into this single script.
Bitcoin All-Time High (ATH) Alert with Cooldown₿ Bitcoin All-Time High (ATH) Alert with Cooldown 🚀👩🚀
🔍 What it does:
This indicator tracks new all-time highs (ATHs) and alerts you when Bitcoin (or any asset) reaches a fresh ATH, while avoiding alert spam with a customizable cooldown period.
✨ Key Features
✅ Alerts for New ATHs: Never miss when Bitcoin makes history!
✅ Cooldown Period: Prevents multiple alerts within a short timeframe (customizable in settings).
✅ ATH Line on Chart: A clear, visual line marking the all-time high price.
✅ Manual Reset Option: Reset the ATH for testing or specific chart conditions.
⚙️ How to Use
Add the Indicator: Apply it to your chart like any other indicator. Ideally on a small time frame, the cooldown is 20 bars by default (adjustable) which gives 20 minutes on the 1 min chart.
Customize Settings:
- Cooldown Period (bars): Set the number of bars to wait before triggering another alert (e.g., 20 bars).
- Show All-Time High Line: Toggle to display or hide the ATH line visually.
- Reset All-Time High: Use this to manually reset the ATH to the current bar's high.
Create an Alert:
Open the "Alerts" menu.
Select the condition: "New All-Time High" .
Choose a trigger type:
Once Per Bar: For immediate alerts when a new ATH occurs.
Once Per Bar Close: To confirm the ATH at the end of each bar.
🛠️ Who is it for?
Traders and HODLers who want to stay on top of price action.
Anyone looking for clean and efficient ATH tracking with no redundant alerts
🚀 Never miss a new ATH again. Stay ahead of the market!
Options Series - Anchored VWAP Ribbon➤ AVWAP On different chart symbols:
⭐ Overview and Key Features:
Anchored VWAP Calculation:
The script implements the Anchored Volume Weighted Average Price (AVWAP), a tool used by professional traders to identify key price levels weighted by volume, starting from a specific timestamp (anchor point).
Bullish and Bearish Analysis:
It determines the dominance of bullish or bearish momentum based on the relationship between the close price and AVWAP levels across multiple time points.
Dynamic Visualization:
The background of the chart changes color based on overall bullish or bearish sentiment, making it easier to interpret market trends.
Multi-Time Anchors:
By defining multiple anchor points (e.g., 09:15, 09:20), the script calculates a series of AVWAP values for fine-grained intraday analysis.
Customizable Inputs:
Users can select the source price (e.g., hlc3), date, and time for AVWAP calculation.
⭐ How It Works and Functionality:
AVWAP Logic:
Uses the timestamp() function to establish a reference (anchor point).
Calculates the cumulative weighted price (price * volume) and cumulative volume from this anchor point.
The ratio of these sums gives the AVWAP, which updates dynamically with new bars.
Bullish and Bearish Signals:
Binary flags (1 or 0) are set for each time point depending on whether the closing price is above or below the AVWAP for that time.
Aggregates these flags into AVWAP_bull and AVWAP_bear to represent the overall market sentiment.
Decision Logic:
Determines final market conditions (bullish or bearish dominance) based on aggregated scores.
Visual feedback (background and bar colors) is applied accordingly.
⭐ Visualizations and User Experience:
Background Colors:
Green or red background highlights the overall sentiment (bullish or bearish), providing a quick market overview.
Bar Coloring:
Bars are color-coded based on bullish, bearish, or neutral conditions, making it easier to identify trends directly on the chart.
AVWAP Levels:
The calculated AVWAP values are plotted as colored lines for each anchor point, giving precise intraday levels of significance.
Bright colors (fluorescent green/red) are used for additional clarity when the close price is above or below these levels.
🎨 Settings and Customization:
Anchor Point:
Fully customizable anchor points allow users to set specific dates and times (e.g., 09:15 on December 13, 2024) for AVWAP calculations.
Source Price:
Users can choose from hlc3, close, or any other price source to calculate the AVWAP, tailoring the indicator to their strategy.
Visual Appearance:
The transparency, colors, and line styles are adjustable, enabling users to customize the chart to match their trading preferences.
Dynamic Signals:
The script accommodates numerous AVWAP levels, providing flexibility for scalpers and swing traders alike.
⭐ Uniqueness of the Concept:
Precise Intraday Analysis:
Unlike static VWAP, this script allows anchoring to specific times during the day, offering granular insights into market behavior.
Cumulative Sentiment Approach:
Aggregates signals across multiple time intervals, providing a comprehensive view of intraday momentum rather than a single-point reference.
Blending AVWAP with Visual Feedback:
Combines traditional AVWAP calculations with visually impactful features like background shading and bar coloring to enhance decision-making.
Scalability:
Supports adding multiple additional anchor points and customization for broader applicability in different market conditions.
🚀 Conclusion:
The Anchored VWAP Ribbon script is a powerful tool for traders seeking to analyze price behavior relative to volume-weighted levels anchored at specific times. It provides a visually intuitive way to assess intraday market sentiment, combining traditional technical indicators with customizable visualization features. The script’s flexibility makes it suitable for a variety of trading styles, from scalping to swing trading, while its unique cumulative sentiment logic sets it apart from conventional VWAP tools.
[blackcat] L1 BS Line of Defense █ OVERVIEW
The Pine Script provided is an advanced technical indicator designed to generate reliable buy and sell signals by integrating momentum, moving averages, and price level analyses. It employs a custom weighted moving average (WMA) and exponential moving averages (EMAs) to compute key signals known as the "Buy/Sell Signal" and the "Short Line." These signals aim to pinpoint optimal entry and exit points for trades by evaluating their relationship with current market dynamics.
█ FEATURES
Key Components:
• Custom Weighted Moving Average ( WMA ): Provides enhanced flexibility compared to traditional moving averages.
• Exponential Moving Averages ( EMA ): Smooths the defense line and its short-term counterpart to filter out market noise.
• Momentum Indicators: Includes both short-term and long-term momentum adjusted via custom WMA and EMAs.
• Conditional Signal Generation: Signals are triggered based on precise crossovers and price conditions.
Logical Framework:
1 — Input Parameters:
No explicit user-defined inputs; defaults are used for internal calculations.
2 — Custom Functions:
• custom_wma : Calculates a custom WMA.
• calculate_buy_sell_signals : Generates buy and sell signals.
3 — Calculations:
• Momentum and Range Analysis over 9, 34, and 60-bar periods.
• Application of custom WMA and EMAs to smooth and refine data.
• Derivation of the "defense line" and "short_ema_defense."
4 — Plotting:
• Main signal lines ("Buy/Sell Signal" and "Short Line") are visualized.
• A horizontal zero line serves as a reference point.
█ HOW TO USE
To utilize this script effectively:
1 — Add the script to your TradingView chart.
2 — Observe the "Buy/Sell Signal" and "Short Line" relative to the zero line and each other.
3 — Look for crossovers and divergence patterns to identify potential trade opportunities.
4 — Combine the signals with additional technical indicators or fundamental analysis for better accuracy.
█ LIMITATIONS
While the script provides valuable insights, users should consider the following limitations:
• Default settings may not suit all markets or instruments; customization might be necessary.
• False signals can occur during volatile or ranging markets.
• Backtesting and optimization are recommended before live trading.
█ NOTES
For further enhancement and personalization:
• Introduce adjustable input parameters for WMA and EMA lengths and weights.
• Extend the script into a full-fledged trading strategy with entry and exit rules.
• Apply the script across multiple timeframes for comprehensive analysis.
• Incorporate risk management practices such as stop-loss and take-profit levels.
• Explore related Pine Script functions like security() for multi-timeframe analysis and [pine>alertcondition() for automated alerts.
Understanding core concepts like momentum, moving averages, and crossovers will aid in developing similar indicators or refining existing ones.
Dual Zigzag [Trendoscope®]🎲 Dual Zigzag indicator is built on recursive zigzag algorithm. It is very similar to other zigzag indicators published by us and other authors. However, the key point here is, the indicator draws zigzag on both price and any other plot based indicator on separate layouts.
Before we get into the indicator, here are some brief descriptions of the underlying concepts and key terminologies
🎯 Zigzag
Zigzag indicator breaks down price or any input series into a series of Pivot Highs and Pivot Lows alternating between each other. Zigzags though shows pivot high and lows, should not be used for buying at low and selling at high. The main application of zigzag indicator is for the visualisation of market structure and this can be used as basic building block for any pattern recognition algorithms.
🎯 Recursive Zigzag Algorithm
Recursive zigzag algorithm builds zigzag on multiple levels and each level of zigzag is based on the previous level pivots. The level zero zigzag is built on price. However, for level 1, instead of price level 0 zigzag pivots are used. Similarly for level 2, level 1 zigzag pivots are used as base.
🎲 Components Dual Zigzag Indicator
Here are the components of Dual zigzag indicator
Built in Oscillator - Indicator has built in oscillator options for plotting RSI (Relative Strength Index), MFI (Money Flow Index), cci (Commodity Channel Index) , CMO (Chande Momentum Oscillator), COG (Center of Gravity), and ROC (Rate of Change). Apart from the given built in oscillators, users can also use a custom external output as base. The oscillators are not printed on the price pane. But, printed on a separate indicator overlay.
Zigzag On Oscillator - Recursive zigzag is calculated and printed on the oscillator series. Each pivot high and pivot low also prints a label having the retracement ratios, and price levels at those points. Zigzag on the oscillator is also printed on the indicator overlay pane.
Zigzag on Price - Recursive zigzag calculated based on price and printed on the price pane. This is made possible by using force_overlay option present in the drawing objects. At each zigzag pivot levels, the label having price retracement ratios, and oscillator values are printed.
It is called dual zigzag because, the indicator calculates the zigzag on both price and oscillator series of values and prints them separately on different panes on the chart.
🎲 Indicator Settings
Settings include
Theme display settings to get the right colour combination to match the background.
Zigzag settings to be used for zigzag calculation and display
Oscillator settings to chose the oscillator to be used as base for 2nd zigzag
🎲 Applications
Useful in spotting divergences with both indicator and price having their own zigzag to highlight pivots
Spotting patterns in indicators/oscillators and correlate them with the patterns on price
🎲 Using External Input
If users want to use an external indicator such as OBV instead of the built in oscillators, then can do so by using the custom option.
Here is how this can be done.
Step1. Add both Dual Zigzag and the intended indicator (in this case OBV) on the chart. Notice that both OBV and Dual zigzag appear on different panes.
Step2. Edit the indicator settings of Dual zigzag and set custom indicator by selecting "custom" as oscillator name and then by setting the custom external indicator name and input.
Step 3. You would notice that the zigzag in Dual Zigzag indictor pane is already showing the zigzag pivots based on the OBV indicator and the price pivots display obv values at the pivot points. We can leave this as is.
Step 4. As an additional step, you can also merge the OBV pane and the Dual zigzag indicator pane into one by going into OBV settings and moving the indicator to above pane. Merge the scales so that there is no two scales on the same pane and the entire scale appear on the right.
At the end, you should see two panes - one with price and other with OBV and both having their zigzag plotted.
Engulfing & Pin Bar DetectorOverview
The "Engulfing & Pin Bar Detector" script identifies two important candlestick patterns: Engulfing Candles and Pin Bars. These patterns are widely used in technical analysis to signal potential reversals or continuations in the market. The script provides visual signals directly on the chart to help traders make informed decisions.
Features Bullish Engulfing:
The second candle completely engulfs the body and shadows (high and low) of the previous bearish candle.
Signals a potential reversal to the upside.
Marked with a green background and a label below the candle.
Bearish Engulfing:
The second candle completely engulfs the body and shadows (high and low) of the previous bullish candle.
Signals a potential reversal to the downside.
Marked with a red background and a label above the candle.
Bullish Pin Bar:
A candle with a long lower shadow and a small body near the top of the range.
Indicates potential upward price action.
Marked with a blue background and an upward triangle below the candle.
Bearish Pin Bar:
A candle with a long upper shadow and a small body near the bottom of the range.
Indicates potential downward price action.
Marked with an orange background and a downward triangle above the candle.
Customizable Visual Alerts:
Background highlights and shape markers for quick and easy identification of patterns.
How to Use
Add the script to your TradingView chart.
Look for:
Green background: Bullish Engulfing.
Red background: Bearish Engulfing.
Blue background: Bullish Pin Bar.
Orange background: Bearish Pin Bar.
Combine with other indicators or price action techniques for confirmation.
Adjust your entry and exit strategies based on the patterns:
For Bullish Engulfing or Bullish Pin Bar, consider entering long positions or exiting shorts.
For Bearish Engulfing or Bearish Pin Bar, consider entering short positions or exiting longs.
Example Use Cases
Identify potential reversal zones.
Use as confirmation in trend-following or counter-trend strategies.
Enhance your analysis with clear visual signals.
Crypto Market Cap Momentum Analyzer (AiBitcoinTrend)The Crypto Market Cap Momentum Analyzer (AiBitcoinTrend) is a robust tool designed to uncover trading opportunities by blending market cap analysis and momentum dynamics. Inspired by research-backed quantitative strategies, this indicator helps traders identify trend-following and mean-reversion setups in the cryptocurrency market by evaluating recent performance and market cap size.
This indicator classifies cryptocurrencies into market cap quintiles and ranks them based on their 2-week momentum. It then suggests potential trades—whether to go long, anticipate reversals, or simply hold—based on the crypto's market cap group and momentum trends.
👽 How the Indicator Works
👾 Market Cap Classification
The indicator categorizes cryptocurrencies into one of five market cap groups based on user-defined inputs:
Large Cap: Highest market cap tier
Upper Mid Cap: Second highest group
Mid Cap: Middle-tier market caps
Lower Mid Cap: Slightly below the mid-tier
Small Cap: Lowest market cap tier
This classification dynamically adjusts based on the provided market cap data, ensuring that you’re always working with a representative market structure.
👾 Momentum Calculation
By default, the indicator uses a 2-week momentum measure (e.g., a 14-day lookback when set to daily). It compares a cryptocurrency’s current price to its price 14 bars ago, thereby quantifying its short-term performance. Users can adjust the momentum period and rebalance period to capture shorter or longer-term trends depending on their trading style.
👾 Dynamic Ranking and Trade Suggestions
After assigning cryptos to size quintiles, the indicator sorts them by their momentum within each quintile. This two-step process results in:
Long Trade: For smaller market cap groups (Small, Lower Mid, Mid Cap) that have low (bottom-quintile) momentum, anticipating a trend continuation or breakout.
Reversal Trade: For the largest market cap group (Large Cap) that shows low momentum, expecting a mean-reversion back to equilibrium.
Hold: In scenarios where the coin’s momentum doesn’t present a strong contrarian or trend-following signal.
👽 Applications
👾 Trend-Following in Smaller Caps: Identify small or mid-cap cryptos with low momentum that might be poised for a breakout or sustained trend.
👾 Mean-Reversion in Large Caps: Pinpoint large-cap cryptocurrencies experiencing a temporary lull in performance, potentially ripe for a rebound.
👽 Why It Works in Crypto
The cryptocurrency market is heavily driven by retail investor sentiment and volatility. Research shows that:
Small-Cap Cryptos: Tend to experience higher volatility and speculative trends, making them ideal for momentum trades.
Large-Cap Cryptos: Exhibit more predictable behavior, making them suitable for mean-reversion strategies when momentum is low.
This indicator captures these dynamics to give traders a strategic edge in identifying both momentum and reversal opportunities.
👽 Indicator Settings
👾 Rebalance Period: The frequency at which momentum and trade suggestions are recalculated (Daily, Weekly, Monthly).
Shorter Periods (Daily): Fast updates, suitable for short-term trades, but more noise.
Longer Periods (Weekly/Monthly): Smoother signals, ideal for swing trading and more stable trends.
👾 Momentum Period: The lookback period for momentum calculation (default is 14 bars).
Shorter Periods: More responsive but prone to noise.
Longer Periods : Reflects broader trends, reducing sensitivity to short-term fluctuations.
Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
BRT Cluster VolumeTitle and Purpose
BRT Cluster Volume is a powerful market analysis tool designed to identify key support and resistance levels, cluster volumes, and breakout signals. This script is highly beneficial for traders who aim to gain deeper insights into market trends and pinpoint zones of interest for buyers and sellers.
Key Features
1. Support and Resistance Levels:
- The script automatically detects chart extremums by analyzing a specified number of bars on the left and right to form levels. This approach effectively identifies local highs and lows.
- The uniqueness of this implementation lies in its dynamic data processing. For each extremum, the "channel width" is calculated, allowing insignificant levels to be filtered out based on a user-defined minimum width. This method eliminates noise and ensures focus on critical levels.
- Extremum lines can be extended to the right (when enabled), allowing traders to track current price movements relative to historical levels.
2. Cluster Volume:
- The cluster analysis is based on lower timeframe data, providing precise identification of key zones of market participant activity. The script dynamically requests close prices and volumes from lower timeframes, calculates the average volume, and identifies levels where volumes exceed a defined threshold.
- The visualization of cluster volumes is unique: volumes exceeding the threshold are displayed as candles with customizable colors and markers. These indicators help traders identify zones of significant interest.
- Cluster volume is only displayed when it interacts with support or resistance levels, ensuring that the visualization remains precise and relevant for market analysis.
3. Breakout Signals:
- The script evaluates "breakout strength" for each breakout of support or resistance levels by comparing the current price with the level. This helps filter false breakouts and focus on significant price movements.
- Traders can select the source for breakout signals (close price or high/low), offering flexibility for various trading styles and strategies.
- By incorporating the concept of "maximum breakout strength," the script highlights only meaningful breakouts, ignoring minor fluctuations.
4. Integration of Trading Sessions:
- Extremum levels for major trading sessions (Asia, Europe, USA) are identified and labeled on the chart. This allows traders to see when significant price levels were formed during the day.
- The script uses timestamps to automatically detect session times, ensuring accuracy and minimizing manual adjustments.
5. Dynamic Data Updates:
- The script dynamically updates support and resistance levels in real time as new data becomes available. This feature is crucial for traders working in fast-moving markets.
- Outdated information (such as obsolete levels) is automatically removed to keep the chart clean and focused on relevant data.
6. Visualization of Activity Zones:
- Trend direction is visualized using color-coded candles based on cluster volumes. For instance, candles with volumes exceeding the average are highlighted with specific colors, helping traders quickly identify areas of heightened activity.
- The unique aspect of this visualization is that cluster volumes appear only in zones where they interact with breakout levels, providing an intuitive and streamlined presentation of critical data.
Usage
- Support and Resistance: Adjust the "Left Bars" and "Right Bars" settings to determine extremums. Use the "Channel Min Width" setting to filter out insignificant levels.
- Cluster Volume: Customize the analysis period and volume threshold to identify high-activity zones. Enable breakout clusters to see how volumes interact with breakouts.
- Session Extremums: Highlight significant levels for Asia, Europe, and US trading sessions to gain insights into market dynamics across different time zones.
- Breakout Signals: Configure the breakout strength and source (close or high/low) for precise signal detection.
Parameter Details
1. Support & Resistance:
- `Left Bars` / `Right Bars`: Number of bars to consider for determining extremums.
- `# of Lines`: Maximum number of support/resistance lines to display.
- `Channel Min Width`: Minimum channel width to filter insignificant levels.
2. Breakout:
- `Show Breakouts`: Toggle breakout signal display.
- `Max breakout strength`: Maximum strength for valid breakouts.
- `Breakout source`: Data source for breakouts (close or high/low).
3. Cluster Volume:
- `Lookback`: Number of bars to analyze for cluster volumes.
- `Threshold`: Volume threshold (percentage above the average).
- `Cluster Volume Timeframe`: Timeframe for cluster volume analysis.
- `Breakout Cluster`: Display cluster volumes only for breakout-related zones.
4. Visual Settings:
- `Extend extremum lines to the right`: Extend support/resistance lines to the right.
- `Show ASIA/EU/US Session Extremums`: Display extremums for trading sessions.
Features and Benefits
- The script provides flexible parameter customization, allowing it to adapt to different trading styles and timeframes.
- The visualization is designed to be clean and intuitive, ensuring users can easily interpret the data.
- Suitable for all timeframes, making it ideal for both intraday and long-term market analysis.
Limitations
- The script is not suitable for analysis on non-standard chart types (e.g., Heikin Ashi, Renko, Kagi).
- To ensure accurate performance, realistic data for commission and slippage should be used.
Warnings
- The script relies on historical data for calculations, which may cause discrepancies in real-time conditions.
- Users should fully understand the functionality of cluster analysis and breakout signals before using the script in live trading.
This script combines advanced data processing logic, dynamic level adjustments, and unique visualization approaches, making it an indispensable tool for market analysis and trading decision-making.
4-Year Cycles [jpkxyz]Overview of the Script
I wanted to write a script that encompasses the wide-spread macro fund manager investment thesis: "Crypto is simply and expression of macro." A thesis pioneered by the likes of Raoul Pal (EXPAAM) , Andreesen Horowitz (A16Z) , Joe McCann (ASYMETRIC) , Bob Loukas and many more.
Cycle Theory Background:
The 2007-2008 financial crisis transformed central bank monetary policy by introducing:
- Quantitative Easing (QE): Creating money to buy assets and inject liquidity
- Coordinated global monetary interventions
Proactive 4-year economic cycles characterised by:
- Expansionary periods (low rates, money creation)
- Followed by contraction/normalisation
Central banks now deliberately manipulate liquidity, interest rates, and asset prices to control economic cycles, using monetary policy as a precision tool rather than a blunt instrument.
Cycle Characteristics (based on historical cycles):
- A cycle has 4 seasons (Spring, Summer, Fall, Winter)
- Each season with a cycle lasts 365 days
- The Cycle Low happens towards the beginning of the Spring Season of each new cycle
- This is followed by a run up throughout the Spring and Summer Season
- The Cycle High happens towards the end of the Fall Season
- The Winter season is characterised by price corrections until establishing a new floor in the Spring of the next cycle
Key Functionalities
1. Cycle Tracking
- Divides market history into 4-year cycles (Spring, Summer, Fall, Winter)
- Starts tracking cycles from 2011 (first cycle after the 2007 crisis cycle)
- Identifies and marks cycle boundaries
2. Visualization
- Colors background based on current cycle season
- Draws lines connecting:
- Cycle highs and lows
- Inter-cycle price movements
- Adds labels showing:
- Percentage gains/losses between cycles
- Number of days between significant points
3. Customization Options
- Allows users to customize:
- Colors for each season
- Line and label colors
- Label size
- Background opacity
Detailed Mechanism
Cycle Identification
- Uses a modulo calculation to determine the current season in the 4-year cycle
- Preset boundary years include 2015, 2019, 2023, 2027
- Automatically tracks and marks cycle transitions
Price Analysis
- Tracks highest and lowest prices within each cycle
- Calculates percentage changes:
- Intra-cycle (low to high)
- Inter-cycle (previous high to current high/low)
Visualization Techniques
- Background color changes based on current cycle season
- Dashed and solid lines connect significant price points
- Labels provide quantitative insights about price movements
Unique Aspects
1. Predictive Cycle Framework: Provides a structured way to view market movements beyond traditional technical analysis
2. Seasonal Color Coding: Intuitive visual representation of market cycle stages
3. Comprehensive Price Tracking: Captures both intra-cycle and inter-cycle price dynamics
4. Highly Customizable: Users can adjust visual parameters to suit their preferences
Potential Use Cases
- Technical analysis for long-term investors
- Identifying market cycle patterns
- Understanding historical price movement rhythms
- Educational tool for market cycle theory
Limitations/Considerations
- Based on a predefined 4-year cycle model (Liquidity Cycles)
- Historic Cycle Structures are not an indication for future performance
- May not perfectly represent all market behavior
- Requires visual interpretation
This script is particularly interesting for investors who believe in cyclical market theories and want a visual, data-driven representation of market stages.
High Volume BarsThis indicator highlights the highest volume bullish and bearish bars within a specified lookback period. It provides a visual representation of significant volume activity, which can be useful for identifying potential trend reversals or continuations.
Key Features:
Customizable lookback period to find highest volume bars
Lime-colored bars for bullish (up) volume
Fuchsia-colored bars for bearish (down) volume
Filled areas between high and low of highest volume bars
Easy-to-read visual cues for volume analysis
The indicator scans the specified number of previous bars to identify the highest volume bullish and bearish bars. It then colors these bars and draws filled areas to make them stand out on the chart. This can help traders quickly spot areas of significant buying or selling pressure.
Use this indicator to:
Identify potential support and resistance levels
Spot volume-based trend reversals
Confirm breakouts or breakdowns
Enhance your volume analysis in conjunction with price action
Adjust the lookback period to fine-tune the indicator's sensitivity to recent volume activity. A longer lookback period will identify more significant volume events, while a shorter period will be more responsive to recent changes.
Note: This indicator is best used in combination with other technical analysis tools and should not be relied upon solely for making trading decisions.
