Bitcoin Macro Trend Map [Ox_kali]
## Introduction
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The “Bitcoin Macro Trend Map” script is designed to provide a comprehensive analysis of Bitcoin’s macroeconomic trends. By leveraging a unique combination of Bitcoin-specific macroeconomic indicators, this script helps traders identify potential market peaks and troughs with greater accuracy. It synthesizes data from multiple sources to offer a probabilistic view of market excesses, whether overbought or oversold conditions.
This script offers significant value for the following reasons:
1. Holistic Market Analysis : It integrates a diverse set of indicators that cover various aspects of the Bitcoin market, from investor sentiment and market liquidity to mining profitability and network health. This multi-faceted approach provides a more complete picture of the market than relying on a single indicator.
2. Customization and Flexibility : Users can customize the script to suit their specific trading strategies and preferences. The script offers configurable parameters for each indicator, allowing traders to adjust settings based on their analysis needs.
3. Visual Clarity : The script plots all indicators on a single chart with clear visual cues. This includes color-coded indicators and background changes based on market conditions, making it easy for traders to quickly interpret complex data.
4. Proven Indicators : The script utilizes well-established indicators like the EMA, NUPL, PUELL Multiple, and Hash Ribbons, which are widely recognized in the trading community for their effectiveness in predicting market movements.
5. A New Comprehensive Indicator : By integrating background color changes based on the aggregate signals of various indicators, this script essentially creates a new, comprehensive indicator tailored specifically for Bitcoin. This visual representation provides an immediate overview of market conditions, enhancing the ability to spot potential market reversals.
Optimal for use on timeframes ranging from 1 day to 1 week , the “Bitcoin Macro Trend Map” provides traders with actionable insights, enhancing their ability to make informed decisions in the highly volatile Bitcoin market. By combining these indicators, the script delivers a robust tool for identifying market extremes and potential reversal points.
## Key Indicators
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Macroeconomic Data: The script combines several relevant macroeconomic indicators for Bitcoin, such as the 10-month EMA, M2 money supply, CVDD, Pi Cycle, NUPL, PUELL, MRVR Z-Scores, and Hash Ribbons (Full description bellow).
Open Source Sources: Most of the scripts used are sourced from open-source projects that I have modified to meet the specific needs of this script.
Recommended Timeframes: For optimal performance, it is recommended to use this script on timeframes ranging from 1 day to 1 week.
Objective: The primary goal is to provide a probabilistic solution to identify market excesses, whether overbought or oversold points.
## Originality and Purpose
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This script stands out by integrating multiple macroeconomic indicators into a single comprehensive tool. Each indicator is carefully selected and customized to provide insights into different aspects of the Bitcoin market. By combining these indicators, the script offers a holistic view of market conditions, helping traders identify potential tops and bottoms with greater accuracy. This is the first version of the script, and additional macroeconomic indicators will be added in the future based on user feedback and other inputs.
## How It Works
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The script works by plotting each macroeconomic indicator on a single chart, allowing users to visualize and interpret the data easily. Here’s a detailed look at how each indicator contributes to the analysis:
EMA 10 Monthly: Uses an exponential moving average over 10 monthly periods to signal bullish and bearish trends. This indicator helps identify long-term trends in the Bitcoin market by smoothing out price fluctuations to reveal the underlying trend direction.Moving Averages w/ 18 day/week/month.
Credit to @ryanman0
M2 Money Supply: Analyzes the evolution of global money supply, indicating market liquidity conditions. This indicator tracks the changes in the total amount of money available in the economy, which can impact Bitcoin’s value as a hedge against inflation or economic instability.
Credit to @dylanleclair
CVDD (Cumulative Value Days Destroyed): An indicator based on the cumulative value of days destroyed, useful for identifying market turning points. This metric helps assess the Bitcoin market’s health by evaluating the age and value of coins that are moved, indicating potential shifts in market sentiment.
Credit to @Da_Prof
Pi Cycle: Uses simple and exponential moving averages to detect potential sell points. This indicator aims to identify cyclical peaks in Bitcoin’s price, providing signals for potential market tops.
Credit to @NoCreditsLeft
NUPL (Net Unrealized Profit/Loss): Measures investors’ unrealized profit or loss to signal extreme market levels. This indicator shows the net profit or loss of Bitcoin holders as a percentage of the market cap, helping to identify periods of significant market optimism or pessimism.
Credit to @Da_Prof
PUELL Multiple: Assesses mining profitability relative to historical averages to indicate buying or selling opportunities. This indicator compares the daily issuance value of Bitcoin to its yearly average, providing insights into when the market is overbought or oversold based on miner behavior.
Credit to @Da_Prof
MRVR Z-Scores: Compares market value to realized value to identify overbought or oversold conditions. This metric helps gauge the overall market sentiment by comparing Bitcoin’s market value to its realized value, identifying potential reversal points.
Credit to @Pinnacle_Investor
Hash Ribbons: Uses hash rate variations to signal buying opportunities based on miner capitulation and recovery. This indicator tracks the health of the Bitcoin network by analyzing hash rate trends, helping to identify periods of miner capitulation and subsequent recoveries as potential buying opportunities.
Credit to @ROBO_Trading
## Indicator Visualization and Interpretation
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For each horizontal line representing an indicator, a legend is displayed on the right side of the chart. If the conditions are positive for an indicator, it will turn green, indicating the end of a bearish trend. Conversely, if the conditions are negative, the indicator will turn red, signaling the end of a bullish trend.
The background color of the chart changes based on the average of green or red indicators. This parameter is configurable, allowing adjustment of the threshold at which the background color changes, providing a clear visual indication of overall market conditions.
## Script Parameters
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The script includes several configurable parameters to customize the display and behavior of the indicators:
Color Style:
Normal: Default colors.
Modern: Modern color style.
Monochrome: Monochrome style.
User: User-customized colors.
Custom color settings for up trends (Up Trend Color), down trends (Down Trend Color), and NaN (NaN Color)
Background Color Thresholds:
Thresholds: Settings to define the thresholds for background color change.
Low/High Red Threshold: Low and high thresholds for bearish trends.
Low/High Green Threshold: Low and high thresholds for bullish trends.
Indicator Display:
Options to show or hide specific indicators such as EMA 10 Monthly, CVDD, Pi Cycle, M2 Money, NUPL, PUELL, MRVR Z-Scores, and Hash Ribbons.
Specific Indicator Settings:
EMA 10 Monthly: Options to customize the period for the exponential moving average calculation.
M2 Money: Aggregation of global money supply data.
CVDD: Adjustments for value normalization.
Pi Cycle: Settings for simple and exponential moving averages.
NUPL: Thresholds for unrealized profit/loss values.
PUELL: Adjustments for mining profitability multiples.
MRVR Z-Scores: Settings for overbought/oversold values.
Hash Ribbons: Options for hash rate moving averages and capitulation/recovery signals.
## Conclusion
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The “Bitcoin Macro Trend Map” by Ox_kali is a tool designed to analyze the Bitcoin market. By combining several macroeconomic indicators, this script helps identify market peaks and troughs. It is recommended to use it on timeframes from 1 day to 1 week for optimal trend analysis. The scripts used are sourced from open-source projects, modified to suit the specific needs of this analysis.
## Notes
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This is the first version of the script and it is still in development. More indicators will likely be added in the future. Feedback and comments are welcome to improve this tool.
## Disclaimer:
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Please note that the Open Interest liquidation map is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
Analisi trend
Auto Fitting GARCH OscillatorOverview
The Auto Fitting GARCH Oscillator is a sophisticated volatility indicator that dynamically fits GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models to the price data. It optimizes the parameters of the GARCH model to provide a reliable measure of volatility, which is then normalized to fit within a 0-100 range, making it easy to interpret as an oscillator. This indicator helps traders identify periods of high and low volatility, which can be crucial for making informed trading decisions.
Key Features
Dynamic GARCH(p, q) Fitting: Automatically optimizes the GARCH model parameters for the best fit.
Volatility Oscillator: Normalizes the volatility measure to a 0-100 range, indicating overbought and oversold conditions.
Customizable Timeframes: Adapts to various chart timeframes, from intraday to monthly data.
Projected Volatility: Provides options for projecting future volatility based on the optimized GARCH model.
User-friendly Visualization: Displays the oscillator with clear overbought and oversold levels.
Concepts Underlying the Calculations
The indicator leverages the GARCH model, which is widely used in financial time series analysis to model volatility clustering. The GARCH model considers past variances and returns to predict future volatility. This indicator dynamically adjusts the p and q parameters of the GARCH model within a specified range to find the optimal fit, minimizing the sum of squared errors (SSE).
How It Works
Data Preparation: Calculates the logarithmic returns and lagged variances from the price data.
SSE Optimization: Iterates through different p and q values to find the best GARCH parameters that minimize the SSE.
GARCH Calculation: Uses the optimized parameters to calculate the GARCH-based volatility.
Normalization: Normalizes the calculated volatility to a 0-100 range to form an oscillator.
Visualization: Plots the oscillator with overbought (70) and oversold (30) levels for easy interpretation.
How Traders Can Use It
Volatility Analysis: Identify periods of high and low volatility to adjust trading strategies accordingly.
Overbought/Oversold Conditions: Use the oscillator levels to identify potential reversal points in the market.
Risk Management: Incorporate volatility measures into risk management strategies to avoid trades during highly volatile periods.
Projection: Use the projected volatility feature to anticipate future market conditions.
Example Usage Instructions
Add the Indicator: Apply the "Auto Fitting GARCH Oscillator" to your chart from the Pine Script editor or TradingView library.
Customize Parameters: Adjust the maxP and maxQ values to set the range for GARCH model optimization.
Select Data Type: Choose between "Projected Variance in %" or "Projected Deviation in %" based on your analysis preference.
Set Projection Periods: Use the perForward input to specify how many periods forward you want to project the volatility.
Interpret the Oscillator: Observe the oscillator line and the overbought/oversold levels to make informed trading decisions.
Half Cup [LuxAlgo]The Half Cup indicator detects and displays patterns with the shape of a Half Cup , initiating a channel. From this channel, breakouts are detected and highlighted with dots.
Users can control the shape of the Half Cup and the channel length through various settings.
Do note that the displayed half cups are displayed retrospectively, making them subject to backpainting.
🔶 USAGE
The idea behind the indicator is derived from the Cup & Handle pattern, which requires waiting for the pattern full completion.
Our Half Cup publication aims to find opportunities when the potential cup is only formed halfway.
In this example, a green dot shows the first breakout of the upper channel extremity. A few bars later, the price went under it, after which it returned above, triggering a second green dot. Both triggers were good opportunities in this case, and the price rose afterward.
The Half Cup pattern can be the start of a potential complete Cup & Handle (As in the example above, a complete Cup pattern (without the Handle ) is shown, manually drawn with dashed lines).
Every green/red dot, whether on a bullish or bearish pattern, points to a breakout respectively above/below the channel.
Besides drawing patterns and the corresponding breakouts, the Half Cup indicator can also provide insights into trends and potential opportunities in the long run.
🔶 DETAILS
🔹 Validation
Several criteria must be fulfilled before a visible pattern on the chart is drawn.
Calculations are done beforehand to know where the Half Cup pattern would be positioned.
The pattern's bottom and top edges are checked for the number of bars whose closing price is outside the half-cup area. When the number of breakouts above/below is equal to or lower than the user-defined settings ( Max % Breaks Top/Bottom ), the pattern is drawn together with a brighter-colored channel next to it.
Dots highlighting the channel's breakout can be drawn from that moment until the end of both channel lines.
🔹 Positioning
Users can adjust the following settings to fit their needs:
% Broadness: Moves the Top/Bottom line (bullish or bearish) diagonally upwards/downwards.
Vertical Shift: Shifts the entire pattern up/down.
Channel Length: Sets the line length of the channel.
Note that adjusting the position of the pattern will change the validation; the script will be rerun to check if patterns are still valid or if new patterns can be drawn. Some patterns may disappear, while new ones may appear.
Before adjusting the position, the user can set Max % Breaks Top/Bottom at 100%. When the positioning is set, Max % Breaks Top/Bottom can be set as desired.
🔹 Updated Drawings
The Half Cup pattern is always drawn retrospectively (that is it is subject to backpainting), the channel is drawn from the bar from where the pattern is detected. Every breakout of the channel will remain visible as dots.
When a new swing high/low is found while the previous swing low/high remains the same, the pattern is updated to minimize clutter. The dots of earlier drawings will remain visible (to ensure no repainting occurs), but the color becomes faded, as such bright dots are associated with patterns that are visible on the chart, while faded dots are from removed/updated patterns.
🔶 SETTINGS
Swing Length: Period used for the swing detection, with higher values returning longer-term Swing Levels.
🔹 Validation
Max % Breaks Bottom: Allowed maximum amount of bars where the closing price is below the bottom of the Half Cup pattern against the total width of the pattern (bars).
Max % Breaks Top: Allowed maximum amount of bars where the closing price is above the top of the Half Cup pattern against the total width of the pattern (bars).
🔹 Positioning
% Broadness: Moves the Top/Bottom line (bullish or bearish) diagonally upwards/downwards.
Vertical Shift: Shifts the entire pattern up/down.
Channel Length: Sets the line length of the channel.
Bearish 3 Bars Reversal PatternThis TradingView Pine Script indicator identifies and highlights a bearish 3-bar reversal pattern on your chart. The script also calculates the percentage difference between the current low and the previous high, displaying this value on the chart when the pattern is detected.
Features:
Pattern Detection:
The script detects a bearish 3-bar reversal pattern when the high of the previous bar is higher than the high of the bar before it, and the current high is lower than the previous high.
Percentage Difference Calculation:
When the pattern is detected, the script calculates the percentage difference between the current low and the previous high. This percentage is displayed on the chart.
Visual Indicators:
When a bearish 3-bar reversal pattern is detected, a label is created on the chart showing the calculated percentage difference. The label is styled with a downward arrow, red color, and white text for clear visibility.
Alerts:
An alert condition is set up to notify users when the bearish 3-bar reversal pattern is detected. This allows traders to take timely action based on the pattern.
Bullish 3 Bars Reversal PatternThis TradingView Pine Script indicator identifies and highlights a bullish 3-bar reversal pattern on your chart. The script also calculates the percentage difference between the current high and the previous low, displaying this value on the chart when the pattern is detected.
Features:
Pattern Detection:
The script detects a bullish 3-bar reversal pattern when the low of the previous bar is lower than the low of the bar before it, and the current low is higher than the previous low.
Percentage Difference Calculation:
When the pattern is detected, the script calculates the percentage difference between the current high and the previous low. This percentage is displayed on the chart.
Visual Indicators:
When a bullish 3-bar reversal pattern is detected, a label is created on the chart showing the calculated percentage difference. The label is styled with an upward arrow, green color, and white text for clear visibility.
Alerts:
An alert condition is set up to notify users when the bullish 3-bar reversal pattern is detected. This allows traders to take timely action based on the pattern.
SOL & BTC EMA with BTC/SOL Price Difference % and BTC Dom EMAThis script is designed to provide traders with a comprehensive analysis of Solana (SOL) and Bitcoin (BTC) by incorporating Exponential Moving Averages (EMAs) and price difference percentages. It also includes the BTC Dominance EMA to offer insights into the overall market dominance of Bitcoin.
Features:
SOL EMA: Plots the Exponential Moving Average (EMA) for Solana (SOL) based on a customizable period length.
BTC EMA: Plots the Exponential Moving Average (EMA) for Bitcoin (BTC) based on a customizable period length.
BTC Dominance EMA: Plots the Exponential Moving Average (EMA) for BTC Dominance, which helps in understanding Bitcoin's market share relative to other cryptocurrencies.
BTC/SOL Price Difference %: Calculates and plots the percentage difference between BTC and SOL prices, adjusted for their respective EMAs. This helps in identifying relative strength or weakness between the two assets.
Background Highlight: Colors the background to visually indicate whether the BTC/SOL price difference percentage is positive (green) or negative (red), aiding in quick decision-making.
Inputs:
SOL Ticker: Symbol for Solana (default: BINANCE
).
BTC Ticker: Symbol for Bitcoin (default: BINANCE
).
BTC Dominance Ticker: Symbol for Bitcoin Dominance (default: CRYPTOCAP
.D).
EMA Length: The length of the EMA (default: 20 periods).
Usage:
This script is intended for traders looking to analyze the relationship between SOL and BTC, using EMAs to smooth out price data and highlight trends. The BTC/SOL price difference percentage can help traders identify potential trading opportunities based on the relative movements of SOL and BTC.
Note: Leverage trading involves significant risk and may not be suitable for all investors. Ensure you have a good understanding of the market conditions and employ proper risk management techniques.
Trend DetectorThe Trend Detector indicator is a powerful tool to help traders identify and visualize market trends with ease. This indicator uses multiple moving averages (MAs) of different timeframes to provide a comprehensive view of market trends, making it suitable for traders of all experience levels.
█ USAGE
This indicator will automatically plot the chosen moving averages (MAs) on your chart, allowing you to visually assess the trend direction. Additionally, a table displaying the trend data for each selected MA timeframe is included to provide a quick overview.
█ FEATURES
1. Customizable Moving Averages: The indicator supports various types of moving averages, including Simple (SMA) , Exponential (EMA) , Smoothed (RMA) , Weighted (WMA) , and Volume-Weighted (VWMA) . You can select the type and length for each MA.
2. Multiple Timeframes: Plot moving averages for different timeframes on a single chart, including fast (short-term) , mid (medium-term) , and slow (long-term) MAs.
3. Trend Detector Table: A customizable table displays the trend direction (Up or Down) for each selected MA timeframe, providing a quick and easy way to assess the market's overall trend.
4. Customizable Appearance: Adjust the colors, frame, border, and text of the Trend Detector Table to match your chart's style and preferences.
5. Wait for Timeframe Close: Option to wait until the selected timeframe closes to plot the MA, which will remove the gaps.
█ CONCLUSION
The Trend Detector indicator is a versatile and user-friendly tool designed to enhance your trading strategy. By providing a clear visualization of market trends across multiple timeframes, this indicator helps you make informed trading decisions with confidence and trade with the market trend. Whether you're a day trader or a long-term investor, this indicator is an essential addition to your trading toolkit.
█ IMPORTANT
This indicator is a tool to aid in your analysis and should not be used as the sole basis for trading decisions. It is recommended to use this indicator in conjunction with other tools and perform comprehensive market analysis before making any trades.
Happy trading!
Efficiency Weighted OrderFlow [AlgoAlpha]Introducing the Efficiency Weighted Orderflow Indicator by AlgoAlpha! 📈✨
Elevate your trading game with our cutting-edge Efficiency Weighted Orderflow Indicator, designed to provide clear insights into market trends and potential reversals. This tool is perfect for traders seeking to understand the underlying market dynamics through efficiency-weighted volume calculations.
🌟 Key Features 🌟
✨ Smooth OrderFlow Calculation : Option to smooth order flow data for more consistent signals.
🔧 Customizable Parameters : Adjust the Order Flow Period and HMA Smoothing Length to fit your trading strategy.
🔍 Visual Clarity : Easily distinguish between bullish and bearish trends with customizable colors.
📊 Standard Deviation Normalization : Keeps order flow values normalized for better comparison across different market conditions.
🔔 Trend Reversal Alerts : Stay ahead with built-in alert conditions for significant order flow changes.
🚀 Quick Guide to Using the Efficiency Weighted Orderflow Indicator
🛠 Add the Indicator: Search for "Efficiency Weighted Orderflow " in TradingView's Indicators & Strategies. Customize settings like smoothing and order flow period to fit your trading style.
📊 Market Analysis: Watch for trend reversal alerts to capture trading opportunities by studying the behaviour of the indicator.
🔔 Alerts: Enable notifications for significant order flow changes to stay updated on market trends.
🔍 How It Works
The Efficiency Weighted Orderflow Indicator starts by calculating the efficiency of price movements using the absolute difference between the close and open prices, divided by volume. The order flow is then computed by summing these efficiency-weighted volumes over a specified period, with an option to apply Hull Moving Average (HMA) smoothing for enhanced signal stability. To ensure robust comparison, the order flow is normalized using standard deviation. The indicator plots these values as columns, with distinct colors representing bullish and bearish trends. Customizable parameters for period length and smoothing allow traders to tailor the indicator to their strategies. Additionally, visual cues and alert conditions for trend reversals and significant order flow changes keep traders informed and ready to act. This indicator improves on the Orderflow aspect of our Standardized Orderflow indicator. The Efficiency Weighted Orderflow is less susceptible to noise and is also quicker at detecting trend changes.
Alboncalc: Support and Resistance LevelsAlboncalc: Support and Resistance Levels
Description:
Alboncalc is an innovative TradingView indicator that identifies significant support and resistance levels based on patterns where two candles form equal highs and/or lows. This indicator automatically plots these critical levels on the chart, providing traders with clear visual cues of potential price reversal or consolidation points.
Originality and Usefulness:
Alboncalc stands out for its ability to detect specific candle patterns that indicate support and resistance, setting it apart from traditional support and resistance indicators. This specific method of price action analysis offers a unique and refined perspective for traders, adding value to the body of knowledge within the TradingView community.
How It Works:
Alboncalc analyzes historical prices to identify where two consecutive candles achieve equal highs or lows. When these conditions are met, the indicator automatically plots a support or resistance line on the chart. These levels are dynamically updated, ensuring that traders always have the most relevant and accurate information.
How to Use:
Installation: Add Alboncalc to your chart on TradingView.
Interpretation: Observe the plotted support and resistance lines. These lines indicate potential reversal or consolidation points.
Application: Use these levels to confirm breakout points or identify areas of price exhaustion. The clear visualization of technical levels helps enhance your trading strategies.
Underlying Concepts:
Alboncalc is based on price action analysis, focusing on specific candle patterns that signal important technical levels. The formation of two candles with equal highs or lows indicates a temporary balance between buyers and sellers, suggesting potential price direction changes.
Curved Smart Money Concepts Probability (Zeiierman)█ Overview
The Curved Smart Money Concepts Probability indicator, developed by Zeiierman, is a sophisticated trading tool designed to leverage the principles of Smart Money trading. This indicator identifies key market structure points and adapts to changing market conditions, providing traders with actionable insights into market trends and potential reversals. The trading tool stands out due to its unique curved structure and advanced probability features, which enhance its effectiveness and usability for traders.
█ How It Works
The indicator operates by analyzing market data to identify pivotal moments where institutional investors might be influencing price movements. It employs a combination of adaptive trend lengths, multipliers for sensitivity adjustments, and pivot periods to accurately capture market structure shifts. The indicator calculates upper and lower bands based on adaptive sizes and identifies zones of overbought (premium) and oversold (discount) conditions.
Key Features of Probability Calculations
The Curved Smart Money Concepts Probability indicator integrates sophisticated probability calculations to enhance trading decision-making:
Win/Loss Tracking: The indicator tracks the number of successful (win) and unsuccessful (loss) trades based on the identified market structure points (ChoCH, SMS, BMS). This provides a historical context of the indicator's performance.
Probability Percentages: For each market structure point (ChoCH, SMS, BMS), the indicator calculates the probability of the next move being successful or not. This is presented as a percentage, giving traders a quantifiable measure of confidence in the signals.
Dynamic Adaptation: The probability calculations adapt to market conditions by considering the frequency and success rate of the signals, allowing traders to adjust their strategies based on the indicator’s historical accuracy.
Visual Representation: Probabilities are displayed on the chart, helping traders quickly assess the likelihood of future price movements based on past performance.
Key benefits of the Curved Structure
The Curved Smart Money Concepts Probability indicator features a unique curved structure that offers several advantages over traditional linear structures:
Noise Reduction: The curved structure smooths out short-term market fluctuations, reducing the noise often seen in linear structures. This helps traders focus on the true trend direction rather than getting distracted by minor price movements.
Adaptive Sensitivity: The curved structure adjusts its sensitivity based on market conditions. This means it can effectively capture both short-term and long-term trends by dynamically adapting to changes in market volatility, something linear structures struggle with.
Enhanced Trend Detection: By providing a more gradual transition between market phases, the curved structure helps in identifying trends more accurately. This is particularly useful in volatile markets where linear structures might give false signals due to their rigid nature.
Improved Market Structure Analysis: The curved structure's ability to adapt and smooth out irregularities provides a clearer picture of the overall market structure. This clarity is essential for identifying premium and discount zones, as well as mid-range support and resistance levels, which are crucial for effective ICT Smart Money Trading.
█ Terminology
ChoCH (Change of Character): Indicates a potential reversal in market direction. It is identified when the price breaks a significant high or low, suggesting a shift from a bullish to bearish trend or vice versa.
SMS (Smart Money Shift): Represents the transition phase in market structure where smart money begins accumulating or distributing assets. It typically follows a BMS and indicates the start of a new trend.
BMS (Bullish/Bearish Market Structure): Confirms the trend direction. Bullish Market Structure (BMS) confirms an uptrend, while Bearish Market Structure (BMS) confirms a downtrend. It is characterized by a series of higher highs and higher lows (bullish) or lower highs and lower lows (bearish).
Premium: A zone where the price is considered overbought. It is calculated as the upper range of the current market structure and indicates a potential area for selling or shorting.
Mid Range: The midpoint between the high and low of the market structure. It often acts as a support or resistance level, helping traders identify potential reversal or continuation points.
Discount: A zone where the price is considered oversold. It is calculated as the lower range of the current market structure and indicates a potential area for buying or going long.
█ How to Use
Identifying Trends and Reversals: Traders can use the indicator to identify the overall market trend and potential reversal points. By observing the ChoCH, SMS, and BMS signals, traders can gauge whether the market is transitioning into a new trend or continuing the current trend.
Example Strategies
⚪ Trend Following Strategy:
Identify the current market trend using BMS signals.
Enter a trade in the direction of the trend when the price retraces to the mid-range zone.
Set a stop-loss just below the mid-range (for long trades) or above the mid-range (for short trades).
Take profit in the premium/discount zone or when a ChoCH signal indicates a potential reversal.
⚪ Reversal Strategy:
Wait for a ChoCH signal to identify a potential market reversal.
Enter a trade in the direction of the new trend as indicated by the SMS signal.
Set a stop-loss just beyond the recent high (for short trades) or low (for long trades).
Take profit when the price reaches the premium or discount zone opposite to the entry.
█ Settings
Curved Trend Length: Determines the length of the trend used to calculate the adaptive size of the structure. Adjusting this length allows traders to capture either longer-term trends (for smoother curves) or short-term trends (for more reactive curves).
Curved Multiplier: Scales the adjustment factors for the upper and lower bands. Increasing the multiplier widens the bands, reducing sensitivity to price changes. Decreasing it narrows the bands, making the structure more responsive.
Pivot Period: Sets the period for capturing trends. A higher period captures broader trends, while a lower period focuses on short-term trends.
Response Period: Adjusts the structure’s responsiveness. A low value focuses on short-term changes, while a high value smoothens the structure.
Premium/Discount Range: Allows toggling between displaying the active range or previous range to analyze real-time or historical levels.
Structure Candles: Enables the display of curved structure candles on the chart, providing a modified view of price action.
-----------------
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!
EMA Cross Fibonacci Entry with RetracementThe EMA Cross Fibonacci Entry with Retracement is a trading strategy that combines two popular technical analysis tools: Exponential Moving Averages (EMAs) and Fibonacci retracement levels. Here's a brief overview of how this strategy typically works:
### Exponential Moving Averages (EMAs)
1. **EMAs Calculation**: EMAs give more weight to recent price data, making them more responsive to price changes. Commonly used periods for EMAs in this strategy are the 50-period and 200-period EMAs.
2. **EMA Cross**: The strategy looks for a "golden cross" (short-term EMA crosses above the long-term EMA) as a potential buy signal, and a "death cross" (short-term EMA crosses below the long-term EMA) as a potential sell signal.
### Fibonacci Retracement Levels
1. **Fibonacci Retracement**: This tool is used to identify potential support and resistance levels based on the Fibonacci sequence. The key retracement levels are 23.6%, 38.2%, 50%, 61.8%, and 78.6%.
2. **Drawing Retracement Levels**: Traders draw Fibonacci retracement levels from a significant peak to a significant trough (or vice versa) to identify potential retracement levels where the price might reverse.
### Combining EMA Cross with Fibonacci Retracement
1. **Identify EMA Cross**: First, traders look for an EMA cross. For example, a golden cross where a shorter EMA (e.g., 50 EMA) crosses above a longer EMA (e.g., 200 EMA) suggests a bullish trend.
2. **Wait for Retracement**: After identifying a cross, traders wait for the price to retrace to a Fibonacci level. The key levels to watch are 38.2%, 50%, and 61.8%.
3. **Entry Point**: The entry point is when the price retraces to a Fibonacci level and shows signs of reversal (e.g., bullish candlestick patterns, support at Fibonacci levels). This is typically when traders enter a long position.
4. **Confirmation with EMA**: Ensure that the EMAs support the trend. For a buy entry, the short-term EMA should remain above the long-term EMA.
### Example of a Bullish Entry
1. **Golden Cross**: 50 EMA crosses above 200 EMA.
2. **Retracement**: Price retraces to the 38.2% Fibonacci level.
3. **Entry Signal**: At the 38.2% level, a bullish candlestick pattern (e.g., hammer) forms, indicating potential support.
4. **Entry Point**: Enter a long position at the close of the bullish candlestick.
### Risk Management
1. **Stop Loss**: Place a stop loss below the next Fibonacci retracement level or below the recent swing low to limit potential losses.
2. **Take Profit**: Set a take profit target based on a risk-reward ratio, previous resistance levels, or further Fibonacci extensions.
### Conclusion
The EMA Cross Fibonacci Entry with Retracement strategy is a systematic approach to identifying entry points in a trending market. By combining the responsiveness of EMAs with the predictive power of Fibonacci retracement levels, traders aim to enter trades at optimal points, increasing their chances of success while managing risk effectively.
Support/Resistance v2 (ML) KmeanKmean with Standard Deviation Channel
1. Description of Kmean
Kmean (or K-means) is a popular clustering algorithm used to divide data into K groups based on their similarity. In the context of financial markets, Kmean can be applied to find the average price values over a specific period, allowing the identification of major trends and levels of support and resistance.
2. Application in Trading
In trading, Kmean is used to smooth out the price series and determine long-term trends. This helps traders make more informed decisions by avoiding noise and short-term fluctuations. Kmean can serve as a baseline around which other analytical tools, such as channels and bands, are constructed.
3. Description of Standard Deviation (stdev)
Standard deviation (stdev) is a statistical measure that indicates how much the values of data deviate from their mean value. In finance, standard deviation is often used to assess price volatility. A high standard deviation indicates strong price fluctuations, while a low standard deviation indicates stable movements.
4. Combining Kmean and Standard Deviation to Predict Short-Term Price Behavior
Combining Kmean and standard deviation creates a powerful tool for analyzing market conditions. Kmean shows the average price trend, while the standard deviation channels demonstrate the boundaries within which the price can fluctuate. This combination helps traders to:
Identify support and resistance levels.
Predict potential price reversals.
Assess risks and set stop-losses and take-profits.
Should you have any questions about code, please reach me at Tradingview directly.
Hope you find this script helpful!
Price Action Toolkit Lite [UAlgo]The Price Action Toolkit Lite is a comprehensive indicator designed to enhance your chart analysis with advanced price action tools. This powerful toolkit combines multiple technical analysis concepts to provide traders with a clear visualization of market structure, liquidity levels, order blocks, and trend lines. By integrating these elements, the indicator aims to offer a holistic view of price action, helping traders identify potential entry and exit points, as well as key levels of interest in the market.
🔶 Key Features
Market Structure Analysis: The indicator includes a ZigZag feature to highlight significant market highs and lows, aiding in the visualization of market structure changes and trends.
Liquidity Sweeps Detection: It identifies and displays liquidity sweeps, which are crucial for recognizing potential market reversals and areas of interest where significant price action is likely to occur.
Order Blocks: Automatically detects and draws order blocks, highlighting areas of institutional buying and selling pressure, which can serve as key support and resistance levels.
Trend Lines: The toolkit can draw and extend trend lines based on pivot points, providing a clear view of prevailing market trends and potential breakout points.
Customizable Settings: Users can adjust various settings, including the length of the ZigZag, liquidity detection sensitivity, the number of order blocks to display, and trend line detection parameters, allowing for a tailored analysis experience.
🔶 Disclaimer
The "Price Action Toolkit Lite " is intended for educational and informational purposes only.
It is not financial advice and should not be construed as such. Trading in financial markets involves substantial risk, including the risk of loss.
Past performance is not indicative of future results.
🔷 Similar Scripts
FVG Instantaneous Mitigation Signals [LuxAlgo]The FVG Instantaneous Mitigation Signals indicator detects and highlights "instantaneously" mitigated fair value gaps (FVG), that is FVGs that get mitigated one bar after their creation, returning signals upon mitigation.
Take profit/stop loss areas, as well as a trailing stop loss are also included to complement the signals.
🔶 USAGE
Instantaneous Fair Value Gap mitigation is a new concept introduced in this script and refers to the event of price mitigating a fair value gap one bar after its creation.
The resulting signal sentiment is opposite to the bias of the mitigated fair value gap. As such an instantaneously mitigated bearish FGV results in a bullish signal, while an instantaneously mitigated bullish FGV results in a bearish signal.
Fair value gap areas subject to instantaneous mitigation are highlighted alongside their average level, this level is extended until reached in a direction opposite to the FVG bias and can be used as a potential support/resistance level.
Users can filter out less volatile fair value gaps using the "FVG Width Filter" setting, with higher values highlighting more volatile fair value gaps subject to instantaneous mitigation.
🔹 TP/SL Areas
Users can enable take-profit/stop-loss areas. These are displayed upon a new signal formation, with an area starting from the mitigated FVG area average to this average plus/minus N ATRs, where N is determined by their respective multiplier settings.
Using a higher multiplier will return more distant areas from the price, requiring longer-term variations to be reached.
🔹 Trailing Stop Loss
A trailing-stop loss is included, increasing when the price makes a new higher high or lower low since the trailing has been set. Using a higher trailing stop multiplier will allow its initial position to be further away from the price, reducing its chances of being hit.
The trailing stop can be reset on "Every Signal", whether they are bullish or bearish, or only on an "Inverse Signal", which will reset the trailing when a signal of opposite bias is detected, this will preserve an existing trailing stop when a new signal of the same bias to the present one is detected.
🔶 DETAILS
Fair Value Gaps are ubiquitous to price action traders. These patterns arise when there exists a disparity between supply and demand. The action of price coming back and filling these imbalance areas is referred to as "mitigation" or "rebalancing".
"Instantaneous mitigation" refers to the event of price quickly mitigating a prior fair value gap, which in the case of this script is one bar after their creation. These events are indicative of a market more attentive to imbalances, and more willing to correct disparities in supply and demand.
If the market is particularly sensitive to imbalances correction then these can be excessively corrected, leading to further imbalances, highlighting a potential feedback process.
🔶 SETTINGS
FVG Width Filter: Filter out FVGs with thinner areas from returning a potential signal.
🔹 TP/SL
TP Area: Enable take-profit areas for new signals.
Multiplier: Control the distance from the take profit and the price, with higher values returning more distant TP's.
SL Area: Enable stop-loss areas for new signals.
Multiplier: Control the distance from the stop loss and the price, with higher values returning more distant SL's.
🔹 Trailing Stop
Reset Trailing Stop: Determines when the trailing stop is reset.
Multiplier: Controls the initial position of the trailing stop, with higher values returning more distant trailing stops.
TASC 2024.08 Volume Confirmation For A Trend System█ OVERVIEW
This script demonstrates the use of volume data to validate price movements based on the techniques Buff Pelz Dormeier discusses in his "Volume Confirmation For A Trend System" article from the August 2024 edition of TASC's Traders' Tips . It presents a trend-following system implementation that utilizes a combination of three indicators: the Average Directional Index (ADX), the Trend Thrust Indicator (TTI), and the Volume Price Confirmation Indicator (VPCI).
█ CONCEPTS
In his article, Buff Pelz Dormeier recounts his search for an optimal trend-following strategy enhanced with volume data, starting with a simple system combining the ADX , MACD , and OBV indicators. Even in these early tests, the author observed that the volume confirmation from OBV notably improved trading performance. Subsequently, the author replaced OBV with his VPCI, which considers the proportional weights of volume and price, to enhance the validation of trend momentum. Lastly, the author explored the inclusion of his TTI, a modified MACD that features volume-based enhancements, as a strategy component for improved trend-following performance.
According to the author's research, the ADX+TTI+VPCI system outperformed similar strategies he tested in the article, yielding significantly higher returns and enhanced perceived reliability. Because the system's design revolves around catching pronounced trends, it performs best with a portfolio of individual stocks. The author applies the system in the article by allocating 5% of the equity to long positions in S&P 500 components that meet the ADX+TTI+VPCI entry criteria (see the Calculations section below for details). He uses the proceeds from closing positions to enter new positions in other stocks meeting the screening criteria, holding any excess proceeds in cash.
█ CALCULATIONS
The TTI is similar to the MACD. Its calculation entails the following steps:
Calculate fast (short-term) and slow (long-term) volume-weighted moving averages (VWMAs).
Compute the volume multiple (VM) as the square of the ratio of the fast VWMA to the slow VWMA.
Adjust these averages by multiplying the fast VWMA by the VM and dividing the slow VWMA by the VM.
Calculate the difference between the adjusted VWMAs to determine the TTI value, and take the average of that series to determine the signal line value.
The VPCI utilizes differences and ratios between VWMAs and corresponding simple moving averages (SMAs) to provide an alternative volume-price confirmation tool. Its calculation is as follows:
Subtract the slow SMA from the VWMA of the same length to calculate the volume-price confirmation/contradiction (VPC) value.
Divide the fast VWMA by the corresponding fast SMA to determine the volume-price ratio (VPR).
Divide the short-term VWMA by the long-term VWMA to calculate the VM.
Compute the VPCI as the product of the VPC, VPR, and VM values.
The long entry criteria of the ADX+TTI+VPCI system are as follows:
The ADX is above 30.
The TTI crosses above its signal line.
The VPCI is above 0, confirming the trend.
Signals to close positions occur when the VPCI is below 0, indicating a contradiction .
NOTE: Unlike in the article, this script applies the ADX+TTI+VPCI system to one stock at a time , not a portfolio of S&P 500 constituents.
█ DISCLAIMER
This strategy script educates users on the trading system outlined by the TASC article. By default, it uses 10% of equity as the order size and a slippage amount of 5 ticks. Traders should adjust these settings and the commission amount when using this script.
Moving Average Z-Score Suite [BackQuant]Moving Average Z-Score Suite
1. What is this indicator
The Moving Average Z-Score Suite is a versatile indicator designed to help traders identify and capitalize on market trends by utilizing a variety of moving averages. This indicator transforms selected moving averages into a Z-Score oscillator, providing clear signals for potential buy and sell opportunities. The indicator includes options to choose from eleven different moving average types, each offering unique benefits and characteristics. It also provides additional features such as standard deviation levels, extreme levels, and divergence detection, enhancing its utility in various market conditions.
2. What is a Z-Score
A Z-Score is a statistical measurement that describes a value's relationship to the mean of a group of values. It is measured in terms of standard deviations from the mean. For instance, a Z-Score of 1.0 means the value is one standard deviation above the mean, while a Z-Score of -1.0 indicates it is one standard deviation below the mean. In the context of financial markets, Z-Scores can be used to identify overbought or oversold conditions by determining how far a particular value (such as a moving average) deviates from its historical mean.
3. What moving averages can be used
The Moving Average Z-Score Suite allows users to select from the following eleven moving averages:
Simple Moving Average (SMA)
Hull Moving Average (HMA)
Exponential Moving Average (EMA)
Weighted Moving Average (WMA)
Double Exponential Moving Average (DEMA)
Running Moving Average (RMA)
Linear Regression Curve (LINREG) (This script can be found standalone )
Triple Exponential Moving Average (TEMA)
Arnaud Legoux Moving Average (ALMA)
Kalman Hull Moving Average (KHMA)
T3 Moving Average
Each of these moving averages has distinct properties and reacts differently to price changes, allowing traders to select the one that best fits their trading style and market conditions.
4. Why Turning a Moving Average into a Z-Score is Innovative and Its Benefits
Transforming a moving average into a Z-Score is an innovative approach because it normalizes the moving average values, making them more comparable across different periods and instruments. This normalization process helps in identifying extreme price movements and mean-reversion opportunities more effectively. By converting the moving average into a Z-Score, traders can better gauge the relative strength or weakness of a trend and detect potential reversals. This method enhances the traditional moving average analysis by adding a statistical perspective, providing clearer and more objective trading signals.
5. How It Can Be Used in the Context of a Trading System
In a trading system, it can be used to generate buy and sell signals based on the Z-Score values. When the Z-Score crosses above zero, it indicates a potential buying opportunity, suggesting that the price is above its mean and possibly trending upward. Conversely, a Z-Score crossing below zero signals a potential selling opportunity, indicating that the price is below its mean and might be trending downward. Additionally, the indicator's ability to show standard deviation levels and extreme levels helps traders set profit targets and stop-loss levels, improving risk management and trade planning.
6. How It Can Be Used for Trend Following
For trend-following strategies, it can be particularly useful. The Z-Score oscillator helps traders identify the strength and direction of a trend. By monitoring the Z-Score and its rate of change, traders can confirm the persistence of a trend and make informed decisions to enter or exit trades. The indicator's divergence detection feature further enhances trend-following by identifying potential reversals before they occur, allowing traders to capitalize on trend shifts. By providing a clear and quantifiable measure of trend strength, this indicator supports disciplined and systematic trend-following strategies.
No backtests for this indicator due to the many options and ways it can be used,
Enjoy
Trend Forecasting - The Quant Science🌏 Trend Forecasting | ENG 🌏
This plug-in acts as a statistical filter, adding new information to your chart that will allow you to quickly verify the direction of a trend and the probability with which the price will be above or below the average in the future, helping you to uncover probable market inefficiencies.
🧠 Model calculation
The model calculates the arithmetic mean in relation to positive and negative events within the available sample for the selected time series. Where a positive event is defined as a closing price greater than the average, and a negative event as a closing price less than the average. Once all events have been calculated, the probabilities are extrapolated by relating each event.
Example
Positive event A: 70
Negative event B: 30
Total events: 100
Probabilities A: (100 / 70) x 100 = 70%
Probabilities B: (100 / 30) x 100 = 30%
Event A has a 70% probability of occurring compared to Event B which has a 30% probability.
🔍 Information Filter
The data on the graph show the future probabilities of prices being above average (default in green) and the probabilities of prices being below average (default in red).
The information that can be quickly retrieved from this indicator is:
1. Trend: Above-average prices together with a constant of data in green greater than 50% + 1 indicate that the observed historical series shows a bullish trend. The probability is correlated proportionally to the value of the data; the higher and increasing the expected value, the greater the observed bullish trend. On the other hand, a below-average price together with a red-coloured data constant show quantitative data regarding the presence of a bearish trend.
2. Future Probability: By analysing the data, it is possible to find the probability with which the price will be above or below the average in the future. In green are classified the probabilities that the price will be higher than the average, in red are classified the probabilities that the price will be lower than the average.
🔫 Operational Filter .
The indicator can be used operationally in the search for investment or trading opportunities given its ability to identify an inefficiency within the observed data sample.
⬆ Bullish forecast
For bullish trades, the inefficiency will appear as a historical series with a bullish trend, with high probability of a bullish trend in the future that is currently below the average.
⬇ Bearish forecast
For short trades, the inefficiency will appear as a historical series with a bearish trend, with a high probability of a bearish trend in the future that is currently above the average.
📚 Settings
Input: via the Input user interface, it is possible to adjust the periods (1 to 500) with which the average is to be calculated. By default the periods are set to 200, which means that the average is calculated by taking the last 200 periods.
Style: via the Style user interface it is possible to adjust the colour and switch a specific output on or off.
🇮🇹Previsione Della Tendenza Futura | ITA 🇮🇹
Questo plug-in funge da filtro statistico, aggiungendo nuove informazioni al tuo grafico che ti permetteranno di verificare rapidamente tendenza di un trend, probabilità con la quale il prezzo si troverà sopra o sotto la media in futuro aiutandoti a scovare probabili inefficienze di mercato.
🧠 Calcolo del modello
Il modello calcola la media aritmetica in relazione con gli eventi positivi e negativi all'intero del campione disponibile per la serie storica selezionata. Dove per evento positivo si intende un prezzo alla chiusura maggiore della media, mentre per evento negativo si intende un prezzo alla chiusura minore della media. Calcolata la totalità degli eventi le probabilità vengono estrapolate rapportando ciascun evento.
Esempio
Evento positivo A: 70
Evento negativo B: 30
Totale eventi : 100
Formula A: (100 / 70) x 100 = 70%
Formula B: (100 / 30) x 100 = 30%
Evento A ha una probabilità del 70% di realizzarsi rispetto all' Evento B che ha una probabilità pari al 30%.
🔍 Filtro informativo
I dati sul grafico mostrano le probabilità future che i prezzi siano sopra la media (di default in verde) e le probabilità che i prezzi siano sotto la media (di default in rosso).
Le informazioni che si possono rapidamente reperire da questo indicatore sono:
1. Trend: I prezzi sopra la media insieme ad una costante di dati in verde maggiori al 50% + 1 indicano che la serie storica osservata presenta un trend rialzista. La probabilità è correlata proporzionalmente al valore del dato; tanto più sarà alto e crescente il valore atteso e maggiore sarà la tendenza rialzista osservata. Viceversa, un prezzo sotto la media insieme ad una costante di dati classificati in colore rosso mostrano dati quantitativi riguardo la presenza di una tendenza ribassista.
2. Probabilità future: analizzando i dati è possibile reperire la probabilità con cui il prezzo si troverà sopra o sotto la media in futuro. In verde vengono classificate le probabilità che il prezzo sarà maggiore alla media, in rosso vengono classificate le probabilità che il prezzo sarà minore della media.
🔫 Filtro operativo
L' indicatore può essere utilizzato a livello operativo nella ricerca di opportunità di investimento o di trading vista la capacità di identificare un inefficienza all'interno del campione di dati osservato.
⬆ Previsione rialzista
Per operatività di tipo rialzista l'inefficienza apparirà come una serie storica a tendenza rialzista, con alte probabilità di tendenza rialzista in futuro che attualmente si trova al di sotto della media.
⬇ Previsione ribassista
Per operatività di tipo short l'inefficienza apparirà come una serie storica a tendenza ribassista, con alte probabilità di tendenza ribassista in futuro che si trova attualmente sopra la media.
📚 Impostazioni
Input: tramite l'interfaccia utente Input è possibile regolare i periodi (da 1 a 500) con cui calcolare la media. Di default i periodi sono impostati sul valore di 200, questo significa che la media viene calcolata prendendo gli ultimi 200 periodi.
Style: tramite l'interfaccia utente Style è possibile regolare il colore e attivare o disattivare un specifico output.
Equal Highs and Lows {Reh's and Rel's }# Equal Highs and Lows {Reh's and Rel's} Indicator
## Overview
The "Equal Highs and Lows {Reh's and Rel's}" indicator is designed to identify and mark equal highs and lows on a price chart. It detects both exact and relative equal levels, draws lines connecting these levels, and optionally labels them. This tool can help traders identify potential support and resistance zones based on historical price levels.
## Key Features
1. **Exact and Relative Equality**: Detects both precise price matches and relative equality within a specified threshold.
2. **Customizable Appearance**: Allows users to adjust colors, line styles, and widths.
3. **Dynamic Line Management**: Automatically extends or removes lines based on ongoing price action.
4. **Labeling System**: Optional labels to identify types of equal levels (e.g., "Equal High", "REH/Equal High").
5. **Flexible Settings**: Adjustable parameters for lookback periods, maximum bars apart, and relative equality thresholds.
## User Inputs
### Appearance
- `lineColorHigh`: Color for lines marking equal highs (default: red)
- `lineColorLow`: Color for lines marking equal lows (default: green)
- `lineWidth`: Thickness of the lines (range: 1-5, default: 1)
- `lineStyle`: Style of the lines (options: Solid, Dash, Dotted)
- `showLabels`: Toggle to show or hide labels for equal highs and lows
### Settings
- `lookbackLength`: Number of bars to look back for finding equal highs and lows (default: 200)
- `maxBarsApart`: Maximum number of bars apart for equal highs/lows to be considered (range: 2-10, default: 5)
### Relative Equality
- `considerRelativeEquals`: Enable detection of relative equal highs and lows
- `thresholdIndex`: Maximum tick difference for relative equality in index instruments (range: 1-10, default: 2)
- `thresholdStocks`: Maximum tick difference for relative equality in stock instruments (range: 5-200, step: 5, default: 10)
## How It Works
The indicator scans historical price data to identify equal or relatively equal highs and lows. It draws lines connecting these levels and updates them as new price data comes in. Lines are extended if the level holds and removed if the price breaks through. The tool adapts to different market conditions by allowing adjustments to the equality thresholds for various instrument types.
## Practical Use
Traders can use this indicator to:
- Identify potential support and resistance levels
- Spot areas where price might react based on historical turning points
- Enhance their understanding of price structure and repetitive patterns
## Disclaimer
This indicator is provided as a tool to assist in identifying potential price levels of interest. It is not financial advice. Users should not rely solely on this or any single indicator for trading decisions. Always conduct thorough analysis, consider multiple factors, and be aware that past price behavior does not guarantee future results. All trading involves risk.
Brooks 18 Bars [KintsugiTrading]Brooks 18 Bars
Overview:
This indicator allows traders to specify a time frame within each trading day and plots lines at the highest and lowest prices recorded during that period. It is particularly useful for identifying key levels of support and resistance within a specified time range.
Features:
User-Defined Time Frame: Traders can input their desired start and end times in a 24-hour format, allowing flexibility to analyze different market sessions.
High and Low Price Levels: The indicator plots lines representing the highest and lowest prices observed within the specified time frame each day.
Clear Visual Representation: The high and low lines are color-coded for easy identification, with the high & low prices in Kintsugi Trading Gold.
How to Use:
Set the Time Frame:
Adjust the "Start Time Hour" and "Start Time Minute" to define the beginning of your desired time frame.
Adjust the "End Time Hour" and "End Time Minute" to define the end of your desired time frame.
Analyze Key Levels:
Al Brooks popularized the following idea and basis for creating this indicator:
On a 5-minute chart, Bar 1 has a 20-30% chance of being the High or Low of the day.
Bar 12 has a 50% chance.
Bar 18 has an 80-90% chance.
Use the plotted lines to identify significant support and resistance levels within your specified time frame. These levels can help inform your trading decisions, such as entry and exit points.
Good luck with your trading!
Liquidity Swings & SweepsThis Pine script indicator is designed to create a visual representation liquidity as identified by swing Highs/Lows along with an indication of the liquidity level that was swept, optionally rating the strength of the sweep based on time & price.
Relevance:
Liquidity levels & sweeps are crucial for many SMC/ICT setups and can indicate a point at which the price changes direction or may re-trace in an opposite direction to provide additional liquidity for continued move in the original direction. Additionally, liquidity levels may provide targets for setups, as price action will often seek to take out those levels as they main contain many buy/sell stops.
How It Works:
The indicator tracks all swing points, as identified using user-defined strength of the swing. Once a swing is formed that meets the criteria, it is represented by a horizontal line starting at the price of the current swing until the last bar on the chart. While the swing is valid, this line will continue to be extended until the swing is invalid or a new swing is formed. Upon identifying a new swing, the indicator then scans the earlier swings in the same direction looking for a point of greatest liquidity that was taken by the current swing. This level is then denoted by dashed horizontal line, connecting earlier swing point to the current. At the same time any liquidity zones between the two swings are automatically removed from the chart if they had previously been rendered on the chart. If the setting to enable scan for maximum liquidity is enabled, then while looking back, the indicator will look for lowest low or highest high that was taken by the current swing point, which may not be a swing itself, however, is a lowest/highest price point taken (mitigated) by the current swing, which in many cases will be better price then then the one represented by previous swing. If the option to render sweep label is enabled, the sweep line will also be completed by a label, that will score the sweep and a tooltip showing the details of the level swept and the time it took to sweep it. The score explained further in configurability section ranks the strength of the sweep based on time and is complemented by price (difference in price between the two liquidity levels).
Configurability:
A user may configure the strength of the swing using both left/right strength (number of bars) as well as optionally instruct the indicator to seek the lowest/highest price point which may not be previous swing that was taken out by newly formed swing.
From appearance perspective liquidity level colors & line width presenting the liquidity/swing can be configured. There is also an option to render the liquidity sweep label that will generate an icon-based rating of the liquidity sweep and a tooltip that provides details on the scope of the swing, which includes liquidity level swept and when it was formed along with the time it took to sweep the liquidity.
Rating is of sweeps is primarily based on time with a secondary reference to price
💥- Best rating, very strong sweep with an hourly or better liquidity sweep
🔥- Second rating, strong sweep with 15 – 59 minute liquidity sweep, or 5+ minute sweep of 10+ points
✅- Third rating, ok sweep with 5 - 15 minute liquidity sweep, or lower-time-frame sweep of 10+ points
❄️ - Weakest sweep, with liquidity of 5 or less minutes swept
What makes this indicator different:
Designed with high performance in mind, to reduce impact on chart render time.
Only keeps valid liquidity levels & sweeps on the chart
Automatically removes previously taken liquidity levels
Ranks liquidity sweeps to indicate strength of the sweep
ARIMA Indicator with Optional SmoothingOverview
The ARIMA (AutoRegressive Integrated Moving Average) Indicator is a powerful tool used to forecast future price movements by combining differencing, autoregressive, and moving average components. This indicator is designed to help traders identify trends and potential reversal points by analyzing the historical price data.
Key Features
AutoRegressive Component (AR): Utilizes past values to predict future prices.
Moving Average Component (MA): Averages past price differences to smooth out noise.
Differencing: Reduces non-stationarity in the time series data.
Optional Smoothing: Applies EMA to the ARIMA output for a smoother signal.
Customizable Parameters: Allows users to adjust AR and MA orders, differencing periods, and smoothing lengths.
Concepts Underlying the Calculations
Differencing: Subtracts previous prices from current prices to remove trends and seasonality, making the data stationary.
AutoRegressive Component (AR): Predicts future prices based on a linear combination of past values.
Moving Average Component (MA): Uses past forecast errors to refine future predictions.
Exponential Moving Average (EMA): Applies more weight to recent prices, providing a smoother and more responsive signal.
How It Works
The ARIMA Indicator first calculates the differenced series to achieve stationarity. Then, it computes the simple moving average (SMA) of this differenced series. The indicator uses the AR and MA components to adjust the SMA, creating an approximation of the ARIMA model. Finally, an optional smoothing step using EMA can be applied to the ARIMA approximation to produce a smoother signal.
How Traders Can Use It
Traders can use the ARIMA Indicator to:
Identify Trends: Detect emerging trends by observing the direction of the ARIMA line.
Spot Reversals: Look for divergences between the ARIMA line and the price to identify potential reversal points.
Generate Trading Signals: Use crossovers between the ARIMA line and the price to generate buy or sell signals.
Filter Noise: Enable the optional smoothing to filter out market noise and focus on significant price movements.
Example Usage Instructions
Add the ARIMA Indicator to your chart.
Adjust the input parameters to suit your trading strategy:
Set the SMA Length (e.g., 14).
Choose the Differencing Period (e.g., 1).
Define the AR Order (p) and MA Order (q) (e.g., 1).
Configure the Smoothing Length if smoothing is desired (e.g., 5).
Enable or disable smoothing as needed.
Observe the ARIMA line (blue) and compare it to the price chart.
Use the ARIMA line to identify trends and potential reversals.
Implement trading decisions based on the ARIMA line’s behavior relative to the price.
Weighted Volume Profile Pivot Points | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Weighted Volume Profile Pivot Points (WVPPP) Indicator! This indicator renders a volume profile using the latest pivot points, automatically adjusting itself when new pivots occur. The pivoting mode can be switched between default pivot points and order blocks mode. It can be adjusted to give more weight to recent or past candlesticks, or can be used as a normal volume profile. For more information, please read the full write-up.
Features of the new Weighted Volume Profile Pivot Points (WVPPP) Indicator :
Renders Volume Profile Of The Range Between Latest Pivots
Two Pivoting Modes Including Order Blocks Mode
Adjustable Weighthing Towards Past or Recent
Customizable Row Count & Maximum Distance
Left or Right Alignment
More Styling Options
🚩UNIQUENESS
This indicator stands out with two key features. One is it's ability to weight volumes based on their distance to the current time. Giving weight to volumes may offer new trading opportunities to traders as they can now see the most recent Point Of Control (POC) or a more powerful but past POC based on their choice. Another key feature the indicator has is that it automatically finds latest valid pivot points, and uses that range for the volume profile. The range changes dynamically as new pivots points emerge. You can select between normal pivot points and order blocks mode. The indicator also has a variety of useful styling settings such as aligning the volume profile to the right or the left of the chart, POC Line styling and color settings for bullish & bearish volumes.
📌 HOW DOES IT WORK ?
A volume profile provides an in-depth look at trading activity over a period of time by plotting a histogram on the price axis. This indicator can also give weight to volumes based on their distance to the current time, essentially determining their importance for the profile. The range which the volume profile will cover is determined by the latest pivot points. Here is how it works step-by-step :
1. Determine how much candlesticks the volume profile will cover (Analyze Bars setting)
2. Find the latest pivot points. If the mode is set to "Pivots", the pivot points are the candlesticks which has the highest / lowest wick in X amount of bars (Swing Length setting). If the mode is set to "Order Blocks", the volume profile range is the area between the latest buyside order block and the sellside order block. Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific candlestick formations on the chart. For more information about the order block detection, I suggest you checking the write-up of our "Volumized Order Blocks" script. Increasing the "Swing Length" setting is recommended when the mode is set to "Pivots", as this will help in finding stronger pivot points.
3. Make a range using the latest pivot points, then divide it into rows (Row Count setting)
4. Then for each candlestick, add it's volume to the corresponding row in the range. Note that the volume can be added into several rows if it overlaps with them all.
5. If the candlestick is a bullish candlestick, we add it's volume into the bullish volume of the row, if it's a bearish candlestick, we add it to the bearish volume of the row.
With the weighted volume mode, which is activated if "Volume Weighthing" setting is set to "Recent" or "Past", all volumes get a penalty based on their distance to the latest candletstick. For example, if the setting is set to "Recent", the latest candlestick contributes it's volume by 100% to the corresponding row, but the candlestick which is 50 candlesticks far from the current candlestick only contributes it's volume by ~17% to the row. The same applies to the "Past" setting, but in the reversed order, where past candlesticks have more priority than the current ones.
Volume contribution percent for "Recent" setting : ((100 * 0.85) / (i + 1)) + (100 * (1.0 - 0.85))
Volume contribution percent for "Past" setting : ((100 * 0.85) * ((i + 1) / N)) + (100 * (1.0 - 0.85))
Where i = candlestick index from right to left, N = total number of candlesticks analyzed by the volume profile.
The Point Of Control (POC) line is drawn from the row with the most total volume, and is generally considered as a strong level because a lot of trading volume happened on that particular row. Traders may use this line as a support & resistance level.
We believe that automatically ranging the volume profile to important pivot points will help traders see crucial volume information easier without unnecessary hassle. Traders can use this indicator to have an insight of areas which price moves quickly without much volume, or see areas that holds the price still for much longer and plan their trades accordingly.
⚙️SETTINGS
1. General Configuration
Mode -> The pivoting mode that is switchable between "Pivots" and "Order Blocks" as described in the write-up. Please read the upper section to understand how this setting works.
Analyze Bars -> Total amount of bars that will be analyzed by the indicator from right to left.
Row Count -> The amount of rows that will the vertical range between pivot points will be divided into.
Volume Weighting -> The volume weighting mode as explained in the write-up.
2. Style
Highlight Sessions -> The volume profile sessions will be highlighted with a blue tint. To prevent confusion, highlighting will not work if the alignment is set to "Right".
Align To -> The alignment of the volume profile.
Multiple Non-Linear Regression [ChartPrime]This indicator is designed to perform multiple non-linear regression analysis using four independent variables: close, open, high, and low prices. Here's a breakdown of its components and functionalities:
Inputs:
Users can adjust several parameters:
Normalization Data Length: Length of data used for normalization.
Learning Rate: Rate at which the algorithm learns from errors.
Smooth?: Option to smooth the output.
Smooth Length: Length of smoothing if enabled.
Define start coefficients: Initial coefficients for the regression equation.
Data Normalization:
The script normalizes input data to a range between 0 and 1 using the highest and lowest values within a specified length.
Non-linear Regression:
It calculates the regression equation using the input coefficients and normalized data. The equation used is a weighted sum of the independent variables, with coefficients adjusted iteratively using gradient descent to minimize errors.
Error Calculation:
The script computes the error between the actual and predicted values.
Gradient Descent: The coefficients are updated iteratively using gradient descent to minimize the error.
// Compute the predicted values using the non-linear regression function
predictedValues = nonLinearRegression(x_1, x_2, x_3, x_4, b1, b2, b3, b4)
// Compute the error
error = errorModule(initial_val, predictedValues)
// Update the coefficients using gradient descent
b1 := b1 - (learningRate * (error * x_1))
b2 := b2 - (learningRate * (error * x_2))
b3 := b3 - (learningRate * (error * x_3))
b4 := b4 - (learningRate * (error * x_4))
Visualization:
Plotting of normalized input data (close, open, high, low).
The indicator provides visualization of normalized data values (close, open, high, low) in the form of circular markers on the chart, allowing users to easily observe the relative positions of these values in relation to each other and the regression line.
Plotting of the regression line.
Color gradient on the regression line based on its value and bar colors.
Display of normalized input data and predicted value in a table.
Signals for crossovers with a midline (0.5).
Interpretation:
Users can interpret the regression line and its crossovers with the midline (0.5) as signals for potential buy or sell opportunities.
This indicator helps users analyze the relationship between multiple variables and make trading decisions based on the regression analysis. Adjusting the coefficients and parameters can fine-tune the model's performance according to specific market conditions.
