H-Infinity Volatility Filter [QuantAlgo]Introducing the H-Infinity Volatility Filter by QuantAlgo 📈💫
Enhance your trading/investing strategy with the H-Infinity Volatility Filter , a powerful tool designed to filter out market noise and identify clear trend signals in volatile conditions. By applying an advanced H∞ filtering process, this indicator assists traders and investors in navigating uncertain market conditions with improved clarity and precision.
🌟 Key Features:
🛠 Customizable Noise Parameters: Adjust worst-case noise and disturbance settings to tailor the filter to various market conditions. This flexibility helps you adapt the indicator to handle different levels of market volatility and disruptions.
⚡️ Dynamic Trend Detection: The filter identifies uptrends and downtrends based on the filtered price data, allowing you to quickly spot potential shifts in the market direction.
🎨 Color-Coded Visuals: Easily differentiate between bullish and bearish trends with customizable color settings. The indicator colors the chart’s candles according to the detected trend for immediate clarity.
🔔 Custom Alerts: Set alerts for trend changes, so you’re instantly informed when the market transitions from bullish to bearish or vice versa. Stay updated without constantly monitoring the charts.
📈 How to Use:
✅ Add the Indicator: Add the H-Infinity Volatility Filter to your favourites and apply it to your chart. Customize the noise and disturbance parameters to match the volatility of the asset you are trading/investing. This allows you to optimize the filter for your specific strategy.
👀 Monitor Trend Shifts: Watch for clear visual signals as the filter detects uptrends or downtrends. The color-coded candles and line plots help you quickly assess market conditions and potential reversals.
🔔 Set Alerts: Configure alerts to notify you when the trend changes, allowing you to react quickly to potential market shifts without needing to manually track price movements.
🌟 How It Works and Academic Background:
The H-Infinity Volatility Filter is built on the foundations of H∞ (H-infinity) control theory , a mathematical framework originating from the field of engineering and control systems. Developed in the 1980s by notable engineers such as George Zames and John C. Doyle , this theory was designed to help systems perform optimally under uncertain and noisy conditions. H∞ control focuses on minimizing the worst-case effects of disturbances and noise, making it a powerful tool for managing uncertainty in complex environments.
In financial markets, where unpredictable price fluctuations and noise often obscure meaningful trends, this same concept can be applied to price data to filter out short-term volatility. The H-Infinity Volatility Filter adopts this approach, allowing traders and investors to better identify potential trends by reducing the impact of random price movements. Instead of focusing on precise market predictions, the filter increases the probability of highlighting significant trends by smoothing out market noise.
This indicator works by processing historical price data through an H∞ filter that continuously adjusts based on worst-case noise levels and disturbances. By considering several past states, it estimates the current price trend while accounting for potential external disruptions that might influence price behavior. Parameters like "worst-case noise" and "disturbance" are user-configurable, allowing traders to adapt the filter to different market conditions. For example, in highly volatile markets, these parameters can be adjusted to manage larger price swings, while in more stable markets, they can be fine-tuned for smoother trend detection.
The H-Infinity Volatility Filter also incorporates a dynamic trend detection system that classifies price movements as bullish or bearish. It uses color-coded candles and plots—green for bullish trends and red for bearish trends—to provide clear visual cues for market direction. This helps traders and investors quickly interpret the trend and act on potential signals. While the indicator doesn’t guarantee accuracy in trend prediction, it significantly reduces the likelihood of false signals by focusing on meaningful price changes rather than random fluctuations.
How It Can Be Applied to Trading/Investing:
By applying the principles of H∞ control theory to financial markets, the H-Infinity Volatility Filter provides traders and investors with a sophisticated tool that manages uncertainty more effectively. Its design makes it suitable for use in a wide range of markets—whether in fast-moving, volatile environments or calmer conditions.
The indicator is versatile and can be used in both short-term trading and medium to long-term investing strategies. Traders can tune the filter to align with their specific risk tolerance, asset class, and market conditions, making it an ideal tool for reducing the effects of market noise while increasing the probability of detecting reliable trend signals.
For investors, the filter can help in identifying medium to long-term trends by filtering out short-term price swings and focusing on the broader market direction. Whether applied to stocks, forex, commodities, or cryptocurrencies, the H-Infinity Volatility Filter helps traders and investors interpret market behavior with more confidence by offering a more refined view of price movements through its noise reduction techniques.
Disclaimer:
The H-Infinity Volatility Filter is designed to assist in market analysis by filtering out noise and volatility. It should not be used as the sole tool for making trading or investment decisions. Always incorporate other forms of analysis and risk management strategies. No statements or signals from this indicator or us should be considered financial advice. Past performance is not indicative of future results.
Трендовый анализ
Advanced Volume-Driven Breakout SignalsThe "Advanced Volume-Driven Breakout Signals" indicator is a cutting-edge tool designed to help traders identify high-potential trading opportunities through sophisticated volume analysis techniques. This indicator integrates volume flow analysis, moving averages, and Relative Volume (RVOL) to provide a comprehensive view of market conditions, going beyond traditional Volume Spread Analysis (VSA) methods.
Key Features:
Volume Flow Analysis: Distinguishes bullish and bearish volume flows with distinct colors, making it easier to visualize market sentiment and potential breakout points.
Volume Flow Moving Averages: Calculates moving averages for volume using various methods (SMA, EMA, WMA, HMA, VWMA), accommodating different trading strategies. This includes settings for adjusting the type of moving average and its period, as well as thresholds for high, medium, and low volume levels.
Volume Spikes Detection: Identifies significant volume spikes based on user-defined multipliers and moving averages, highlighting unusual trading activity.
Volume MA Cloud Settings: Computes general moving averages of volume to track trends and detect deviations. This feature includes options to select different moving average types and adjust thresholds for detecting high volume activity.
Relative Volume (RVOL): Measures current volume relative to historical averages, triggering signals when RVOL exceeds predefined thresholds, indicating notable changes in trading activity.
Entry Conditions: Provides clear long and short entry signals based on combined volume flow conditions and RVOL, offering actionable trading opportunities.
Volume Visualization:
— Bullish Volume Flow: Light and dark green bars indicate bullish volume flow.
— Bearish Volume Flow: Light and dark red bars denote bearish volume flow.
— High Volume Bars: Highlighted in yellow, and extreme volume bars in orange for additional context. These bars are plotted for visual aid and do not directly influence trade signals, focusing instead on the quality and strength of the volume flow.
Alerts: Allows users to create alert notifications for long and short entry signals when the criteria are met, enabling traders to respond promptly to trading opportunities.
Usage:
Overlay: Apply the indicator directly to your price chart to visualise real-time signals and volume conditions.
Customisable: Adjust settings for moving averages, RVOL, and other parameters to match your trading strategy and preferences.
Comparison to VSA Scripts: The "Advanced Volume-Driven Breakout Signals" indicator extends beyond traditional VSA scripts by incorporating a wider range of analytical features. While VSA primarily focuses on volume spread patterns and price action, this indicator offers enhanced functionality with advanced RVOL metrics, customizable moving averages, and detailed volume spike detection, making it a more versatile tool for identifying breakout opportunities and managing trades. It is particularly effective when used alongside key levels and order blocks.
Acknowledgements: Special thanks to @oh92 and @goofoffgoose for their invaluable scripts, which served as inspiration in the development of this advanced trading indicator.
Notes: The script is continually evolving, with ongoing refinements aimed at enhancing accuracy and performance.
Ichimoku Cloud Crosses_AITIchimoku Cloud Crosser_AIT
The "Ichimoku Cloud Crosses_AIT" indicator is designed to leverage the Ichimoku Cloud components, focusing on the crossovers between the Tenkan-sen and Kijun-sen lines. This indicator visually displays these crossovers on the price chart to help traders identify potential long and short trading opportunities.
1. Indicator Components
Ichimoku Cloud Elements
Tenkan-sen (Conversion Line): A short-term trend indicator. It is the midpoint of the highest high and the lowest low over a specified period (tenkanLength). In this indicator, the default period is set to 21.
Kijun-sen (Base Line): A medium-term trend indicator. It is the midpoint of the highest high and the lowest low over the specified period (kijunLength). In this indicator, the default period is set to 120.
Senkou Span A and B: These components are part of the traditional Ichimoku Cloud, but they are not directly plotted in this version of the indicator.
Chikou Span (Lagging Span): This component is included in the calculation but is not plotted in this indicator version.
2. Signal Conditions
Long Signal
Condition: A long signal is generated when the Tenkan-sen crosses above the Kijun-sen.
Visual Representation: Displayed as a yellow triangle below the price bar.
Short Signal
Condition: A short signal is generated when the Tenkan-sen crosses below the Kijun-sen.
Visual Representation: Displayed as a fuchsia triangle above the price bar.
3. How to Use the Indicator
Add the Indicator: Apply the "Ichimoku Cloud Crosses_AIT" indicator to your chart in TradingView.
Adjust Parameters: You can customize the periods for the Tenkan-sen, Kijun-sen, Senkou Span A, Senkou Span B, and Chikou Span in the indicator's settings.
Interpret the Signals:
Long Signal: Look for a yellow triangle below the bar, indicating a potential bullish crossover (Tenkan-sen crossing above Kijun-sen).
Short Signal: Look for a fuchsia triangle above the bar, indicating a potential bearish crossover (Tenkan-sen crossing below Kijun-sen).
Conclusion
The "Ichimoku Cloud Crosses_AIT" indicator provides a clear visualization of the crossovers between the Tenkan-sen and Kijun-sen lines on the price chart. This tool helps traders quickly identify potential bullish and bearish signals, making it a valuable addition to any trading strategy. Adjust the settings and parameters as needed to fit your specific trading style and market conditions.
Ichimoku Crosses_RSI_AITIchimoku Crosser_RSI_AIT
Overview
The "Ichimoku Cloud Crosses_AIT" strategy is a technical trading strategy that combines the Ichimoku Cloud components with the Relative Strength Index (RSI) to generate trade signals. This strategy leverages the crossovers of the Tenkan-sen and Kijun-sen lines of the Ichimoku Cloud, along with RSI levels, to identify potential entry and exit points for long and short trades. This guide explains the strategy components, conditions, and how to use it effectively in your trading.
1. Strategy Parameters
User Inputs
Tenkan-sen Period (tenkanLength): Default value is 21. This is the period used to calculate the Tenkan-sen line (conversion line) of the Ichimoku Cloud.
Kijun-sen Period (kijunLength): Default value is 120. This is the period used to calculate the Kijun-sen line (base line) of the Ichimoku Cloud.
Senkou Span B Period (senkouBLength): Default value is 52. This is the period used to calculate the Senkou Span B line (leading span B) of the Ichimoku Cloud.
RSI Period (rsiLength): Default value is 14. This period is used to calculate the Relative Strength Index (RSI).
RSI Long Entry Level (rsiLongLevel): Default value is 60. This level indicates the minimum RSI value for a long entry signal.
RSI Short Entry Level (rsiShortLevel): Default value is 40. This level indicates the maximum RSI value for a short entry signal.
2. Strategy Components
Ichimoku Cloud
Tenkan-sen: A short-term trend indicator calculated as the simple moving average (SMA) of the highest high and the lowest low over the Tenkan-sen period.
Kijun-sen: A medium-term trend indicator calculated as the SMA of the highest high and the lowest low over the Kijun-sen period.
Senkou Span A: Calculated as the average of the Tenkan-sen and Kijun-sen, plotted 26 periods ahead.
Senkou Span B: Calculated as the SMA of the highest high and lowest low over the Senkou Span B period, plotted 26 periods ahead.
Chikou Span: The closing price plotted 26 periods behind.
Relative Strength Index (RSI)
RSI: A momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is used to identify overbought or oversold conditions.
3. Entry and Exit Conditions
Entry Conditions
Long Entry:
The Tenkan-sen crosses above the Kijun-sen (bullish crossover).
The RSI value is greater than or equal to the rsiLongLevel.
Short Entry:
The Tenkan-sen crosses below the Kijun-sen (bearish crossover).
The RSI value is less than or equal to the rsiShortLevel.
Exit Conditions
Exit Long Position: The Tenkan-sen crosses below the Kijun-sen.
Exit Short Position: The Tenkan-sen crosses above the Kijun-sen.
4. Visual Representation
Tenkan-sen Line: Plotted on the chart. The color changes based on its relation to the Kijun-sen (green if above, red if below) and is displayed with a line width of 2.
Kijun-sen Line: Plotted as a white line with a line width of 1.
Entry Arrows:
Long Entry: Displayed as a yellow triangle below the bar.
Short Entry: Displayed as a fuchsia triangle above the bar.
5. How to Use
Apply the Strategy: Apply the "Ichimoku Cloud Crosses_AIT" strategy to your chart in TradingView.
Configure Parameters: Adjust the strategy parameters (Tenkan-sen, Kijun-sen, Senkou Span B, and RSI settings) according to your trading preferences.
Interpret the Signals:
Long Entry: A yellow triangle appears below the bar when a long entry signal is generated.
Short Entry: A fuchsia triangle appears above the bar when a short entry signal is generated.
Monitor Open Positions: The strategy automatically exits positions based on the defined conditions.
Backtesting and Live Trading: Use the strategy for backtesting and live trading. Adjust risk management settings in the strategy properties as needed.
Conclusion
The "Ichimoku Cloud Crosses_AIT" strategy uses Ichimoku Cloud crossovers and RSI to generate trading signals. This strategy aims to capture market trends and potential reversals, providing a structured way to enter and exit trades. Make sure to backtest and optimize the strategy parameters to suit your trading style and market conditions before using it in a live trading environment.
EMA Volume [MacroGlide]EMA Volume is a versatile tool designed to track and analyze market volumes by calculating the Exponential Moving Averages (EMAs) of total, bullish, and bearish volumes. This indicator helps traders visualize volume dynamics, identify buying and selling pressure, and make informed trading decisions based on volume activity.
Key Features:
• Volume EMAs: The indicator calculates the EMAs of total, bullish, and bearish volumes, allowing users to observe how volume trends evolve over time. This helps identify shifts in market sentiment and potential reversals.
• Separation of Bullish and Bearish Volumes: By separating bullish and bearish volumes, the indicator provides a clear view of buying versus selling activity. This distinction is valuable for understanding the market's underlying momentum and direction.
• Customizable Visuals: Users can customize the line style and color for each volume type, allowing them to tailor the display of the indicator to their personal preferences and enhance the visual interpretation of the data.
How to Use:
• Add the indicator to your chart and adjust the EMA settings and display parameters according to your needs.
• Use the difference between bullish and bearish volumes to assess current market sentiment and analyze potential trend changes.
• Monitor the EMA of total volume to identify overall volume trends that can serve as additional signals for entering or exiting positions.
Methodology:
The indicator calculates the EMAs for total, bullish, and bearish volumes based on the trading volumes associated with price increases or decreases. This tool helps evaluate the strength of buying and selling at different times, making it especially useful for volume and market dynamics analysis.
Originality and Usefulness:
EMA Volume stands out for its ability to separate buying and selling volumes and present them in a clear visual format, significantly simplifying the analysis of market activity and decision-making in trading.
Charts:
The indicator displays clean and clear charts, where each type of volume is represented by its own line and color, making visual interpretation easier. The charts focus solely on key information for analysis: EMAs of total, bullish, and bearish volumes. These features make the charts highly useful for quick analysis and trading decision-making.
Enjoy the game!
Opening Range with Breakouts & Targets [LuxAlgo]Opening Range with Breakouts & Targets is based on the long-standing Opening Range Breakout strategy popularized by traders such as Toby Crabel and Mark Fisher.
This indicator measures and displays the price range created from the first period within a new trading session, along with price breakouts from that range and targets associated with the range width.
🔶 USAGE
The Opening Range (OR) can be a powerful tool for making a clear distinction between ranging and trending trading days. Using a rigid structure for drawing a range, provides a consistent basis to make judgments and comparisons that will better assist the user in determining a hypothesis for the day's price action.
NOTE: During a suspected "Range Day", the Opening Range can be used for reversion strategies, typically targeting the opposite extreme of the range or the mean of the range. However, more commonly the Opening Range is used for breakouts on suspected "Trend Days", targeting further upward or downward market movement.
The common Opening Range Breakout Strategy (ORB) outlines a structure to enter and exit positions based on rigid points determined by the Opening Range. This methodology can be adjusted based on markets or trading styles.
Determine Opening Range High & Low: These are the high and low price within a chosen period of time after the market opens. This can be customized to the user's trading style and preference. Common Ranges are from 5-60 mins.
Watch for a Breakout with Volume: A Breakout occurs when price crosses the OR High (ORH) or OR Low (ORL), an increase in volume is typically desired when witnessing these breakouts to confirm a stronger movement.
Manage Risk: Based on user preference and the appropriately determined amount of risk, multiple ways can be determined to manage risk by using Opening Range.
For Example: A stop-loss could be set at OR Mean (ORM) or the opposite side of the range, while a profit target could optionally be set at the first price target generated by the script.
Alternatively, a user might want to use a Moving Average (MA) as an adaptive stop-loss and use price targets to scale out. These are just 2 examples of the possible options, both capable with this tool.
🔹 Signals
Signals will fire based on the break of the opening range, this is indicated by arrows above and below the range boundaries.
Optionally, a bias can be added to these signals to aid in mitigating false signals by using a directional filter based on the current day's OR relative to the previous day's OR.
Regardless of the signal bias being enabled, the Opening Range Zone will always be colored directionally according to this.
If the current day's OR is above the previous day's OR, the Zone will be Green.
If the current day's OR is below the previous day's OR, the Zone will be Red.
By enabling the signal bias, signals in the opposite direction of the daily bias will fire on the cross of the first target in that direction.
🔹 Targets
In this indicator, targets are not limited and will generate infinitely based on a % width of the Opening Range.
Additionally, there are 2 display methods for these targets.
Extended: Extends the targets to the current bar and displays all targets that have been crossed so far within the session.
Adaptive: Extends only the 2 closest targets surrounding price, allowing for a display consisting of fewer lines at one time.
🔶 DETAILS
🔹 Historical Display
This indicator can be utilized in multiple ways, for use in real-time, and for historical analysis to form methods. Because of this, the indicator has an option to display only the current day's data or the entire historical data. This can also help clean up the chart when it is in use.
🔹 Time Period
The specific time period to create the opening range is entirely up to each user's preference, by default it is set to 30 mins; however, this time period can be edited with full control if desired.
Simply toggle on the "Custom Range" and input a range of time to create the range.
🔹 Session Moving Average
The Session Moving Average is a common Moving Average, which resets at the beginning of a new session. This allows for an unbiased MA that was created entirely from the current session's price action.
Note: The start of the session is determined by the start of the Opening Range if using a custom range of time.
🔶 SETTINGS
Show Historical Data: Choose to display only the current session's data or the full history of data.
Opening Range Time Period: Select the time period to form the opening range from. This operates on Session Start, so it will change with the chart.
Custom Range: Opt for a custom Range by enabling this and inputting your range times as well as your needed timezone.
Breakout Signal Bias: Select if the Breakout Signals will use a Daily Directional Bias for firing.
Target % of Range: Sets the % of the Range width that will be used as an increment for the Targets to display in.
Target Cross Source: Choose to use the Close price or High/Low price as the crossing level for Target displays. When this source crosses a target it will generate more targets.
Target Display: Choose which style of display to use for targets.
Session Moving Average: Optionally enable a Moving average of your choice that resets at the beginning of each session (start of opening range).
Supertrend Crosses_AITSupertrend Crosser
Overview:
The "Supertrend Crosses" indicator is a technical analysis tool that combines two Supertrend lines with different parameters to generate buy and sell signals based on their crossovers. The indicator uses color coding to visualize the market trend and provides alerts for potential trade entries.
1. Settings and Inputs:
Supertrend A:
Factor: Multiplier for the ATR (Average True Range), which determines the sensitivity of Supertrend A.
ATR Period: Number of periods used to calculate the ATR for Supertrend A.
Supertrend B:
Factor: Multiplier for the ATR, which determines the sensitivity of Supertrend B.
ATR Period: Number of periods used to calculate the ATR for Supertrend B.
2. Indicator Components:
Supertrend A:
Plotted on the chart using dynamic coloring:
Green when Supertrend A is above Supertrend B.
Red when Supertrend A is below Supertrend B.
Supertrend B:
Plotted on the chart in white color to provide a visual reference for the crossover signals.
3. Crossover Signals:
Long Signal:
Triggered when Supertrend A crosses above Supertrend B.
A yellow upward triangle ("L") is displayed on the chart below the price bar.
Short Signal:
Triggered when Supertrend A crosses below Supertrend B.
A fuchsia downward triangle ("S") is displayed on the chart above the price bar.
4. How to Use the Indicator:
Identifying Trend Changes:
When Supertrend A crosses above Supertrend B, it indicates a potential upward trend, generating a buy signal.
Conversely, when Supertrend A crosses below Supertrend B, it suggests a potential downward trend, generating a sell signal.
Signal Visualization:
Yellow "L" markers indicate long entry points (buy signals).
Fuchsia "S" markers indicate short entry points (sell signals).
Alerts:
The indicator is equipped with alert conditions for both long and short signals. Users can set up alerts in TradingView to receive notifications when these signals occur.
5. Customization:
Supertrend Parameters:
The factors and ATR periods for Supertrend A and B can be adjusted in the settings to fit different market conditions and trading strategies.
Show Signals Option:
The user can toggle the display of the buy and sell signals on the chart through the "Show Signals?" checkbox in the settings.
6. Visual Representation:
Lines:
Supertrend A: Plotted with dynamic coloring based on its relation to Supertrend B.
Supertrend B: Plotted in white for a clear reference.
Markers:
"L" (yellow) for long signals and "S" (fuchsia) for short signals are plotted on the chart at the point of crossover.
7. Alerts Setup:
Buy Signal Alert: Alerts the user when Supertrend A crosses above Supertrend B.
Sell Signal Alert: Alerts the user when Supertrend A crosses below Supertrend B.
8. Advantages:
Simple and Effective: This indicator simplifies trend identification by using crossovers of two Supertrend lines.
Customizable: The indicator's parameters can be tailored to suit different trading styles and asset classes.
Alerts: Provides alert functionality to ensure traders do not miss trading opportunities.
9. Usage Tips:
Combine with Other Indicators: For more reliable signals, consider using this indicator in conjunction with other technical analysis tools like RSI, MACD, or support and resistance levels.
Risk Management: Always use appropriate risk management techniques, such as stop-loss orders, to protect your capital.
The "Supertrend Crosses" indicator offers a straightforward approach to identifying potential trend reversals and trade entries using the crossover of two Supertrend lines. It provides clear visual signals and alert notifications, making it a valuable tool for traders looking to incorporate trend-following strategies.
Multi-Sector Trend AnalysisThis script, titled "Multi-Sector Trend Analysis: Track Sector Momentum and Trends," is designed to assist traders and investors in monitoring multiple sectors of the stock market simultaneously. It leverages technical analysis by incorporating trend detection and momentum indicators like moving averages and the Relative Strength Index (RSI) to offer insights into the price action of various market sectors.
Core Features:
1. Sector-Based Analysis: The script covers 20 major sectors from the NSE (National Stock Exchange) such as Auto, Banking, Energy, FMCG, IT, Pharma, and others. Users can customize which sectors they wish to analyze using the available input fields.
Technical Indicators: The script uses two core technical indicators to detect trends and momentum:
2. Moving Averages: The script calculates both fast and slow exponential moving averages (EMAs). These are critical for identifying short- and long-term price trends and crossovers, helping detect shifts in momentum.
3. Relative Strength Index (RSI): A well-known momentum indicator that shows whether a stock is overbought or oversold. This script uses a 14-period RSI to gauge the strength of each sector.
4. Trend Detection: The script identifies whether the current market trend is "Up" or "Down" based on the relationship between the fast and slow EMAs (i.e., whether the fast EMA is above or below the slow EMA). It highlights this trend visually in a table format, allowing quick and easy trend recognition.
5. Gain/Loss Tracking: This feature calculates the percentage gain or loss since the last EMA crossover (a key point in trend change), giving users a sense of how much the price has moved since the trend shifted.
6. Customizable Table for Display: The script displays the analyzed data in a table format, where users can view each sector's:
Symbol
Trend (Up or Down)
RSI Value
Gain/Loss Since the Last EMA Crossover
This table is customizable in terms of size and color theme (dark or light), providing flexibility in presentation for different charting styles.
How It Works:
Sector Selection: Users can input up to 20 different sector symbols for analysis.
Moving Averages: Users can define the period lengths for both the fast and slow EMAs to suit their trading strategies.
Table Options: Choose between different table sizes and opt for a dark theme to enhance the visual appearance on charts.
How to Use:
Select the symbols (sectors) that you want to track. The script includes pre-configured symbols for major sectors on the NSE, but you can modify these to suit your needs.
Adjust the fast and slow EMA lengths to your preference. A common setting would be 3 for the fast EMA and 4 for the slow EMA, but more conservative traders might opt for higher values.
Customize the table size and theme based on your preference, whether you want a compact table or a larger one for easier readability.
Why Use This Script:
This script is ideal for traders looking to:
Monitor multiple market sectors simultaneously.
Identify key trends across sectors quickly.
Understand momentum and detect potential reversals through RSI and EMA crossovers.
Stay informed on sector performance using a clear visual table that tracks gains or losses.
By using this script, traders can gain better insights into sector-based trading strategies, improve their sector rotation tactics, and stay informed about the broader market environment. It provides a powerful yet easy-to-use tool for both beginner and advanced traders.
Supertrend Scanner on ChartThis Indicator is Used to scan 10 stock on chart.
Supertrend is widely used indicator on tradingview. So we have used the originals indicator codes of supertrend by tradingview here. Background color has been changed as per supertrend trrend.
Problem : Sometime trader wants to track multiple stocks supertrend at a time. Mostly those stock are of same sector. To track all the stocks of same sector in one chart , trader has to open multiple charts for that.
Solution : This indicator pointout where other stocks has changed the trend. Like if you see "SBIN" written in GEREEN at bottom of the candle , that means on that particular candle SBIN supertrend has changed to positive. Similarly if you see "KOTAK" written in RED at top of the candle the means supertrend has changed to Negative on that particular candle. Its so easy to trace 10 stock on same chart which stocks labelling.
How to use :
When you trade on any index , then apply all the index constituents stock on this indicator. When Index changes the trend and that change in trend is confirmed by other constituents ( like 7/10 confirmed ) then that is confirmed trend. If all the constituents are on same direction than that's the confirmed trend.
Disclamer : This indicator is for education purpose , for any profit or loss , we are not responsible. Trade on your own risk.
Trend Magic with EMA, SMA, and Auto-TradingRelease Notes
Strategy Name: Trend Magic with EMA, SMA, and Auto-Trading
Purpose: This strategy is designed to capture entry and exit points in the market using the Trend Magic indicator and three moving averages (EMA45, SMA90, and SMA180). Specifically, it uses the perfect order of the moving averages and the color changes in Trend Magic to identify trend reversals and potential trading opportunities.
Uniqueness and Usefulness
Uniqueness: The strategy utilizes the Trend Magic indicator, which is based on price and volatility, along with three moving averages to assess the strength of trends. The signals are generated only when the moving averages are in perfect order, and the Trend Magic color changes, ensuring that the entry is made during established trends. This combination provides a higher degree of reliability compared to strategies that rely solely on price action or single indicators.
Usefulness: This strategy is particularly useful for traders looking to capture trends over longer periods. It is effective at reducing noise in the market, only providing signals when the moving averages align and the Trend Magic indicator confirms a trend reversal. It works well in both trending and volatile markets.
Entry Conditions
Long Entry:
Condition: A perfect order (EMA45 > SMA90 > SMA180) is established, and Trend Magic changes color from red to blue.
Signal: A buy signal is generated, indicating the start of an uptrend.
Short Entry:
Condition: A perfect order (EMA45 < SMA90 < SMA180) is established, and Trend Magic changes color from blue to red.
Signal: A sell signal is generated, indicating the start of a downtrend.
Exit Conditions
Exit Strategy:
This strategy automatically enters and exits trades based on signals, but traders are encouraged to manage exits manually according to their own risk management preferences. The strategy includes stop loss and take profit settings based on risk-to-reward ratios for better risk management.
Risk Management
The strategy includes built-in risk management by using the SMA90 level at the time of entry as the stop-loss point and setting the take profit at a 1:1.5 risk-to-reward ratio. The stop-loss level is fixed at the entry point and does not move as the market progresses. Traders are advised to implement additional risk management, such as trailing stops, for added protection.
Account Size: ¥100,000
Commissions and Slippage: Assumes 94 pips for commissions and 1 pip for slippage per trade
Risk per Trade: 10% of account equity (adjust this based on personal risk tolerance)
Configurable Options
Configurable Options:
CCI Period: Set the period for the CCI used to calculate the Trend Magic indicator (default is 21).
ATR Multiplier: Set the multiplier for ATR used in the Trend Magic calculation (default is 1.0).
EMA/SMA Periods: The periods for the three moving averages (default is EMA45, SMA90, and SMA180).
Signal Display Control: An option to toggle the display of buy and sell signals on the chart.
Adequate Sample Size
To ensure the robustness and reliability of this strategy, it is recommended to backtest it with a sufficiently long period of historical data. Testing across different market conditions, including high and low volatility periods, is also advised.
Credits
Acknowledgments:
This strategy is based on the Trend Magic indicator combined with moving averages and draws on contributions from the technical analysis and trading community.
Clean Chart Description
Chart Appearance:
To maintain a clean and simple chart, this strategy includes options to turn off the display of Trend Magic, moving averages, and entry signals. Traders can adjust these display settings as needed to minimize visual clutter and focus on effective trend analysis.
Addressing the House Rule Violations
Omissions and Unrealistic Claims
Clarification:
This strategy does not make any unrealistic or unsupported claims about its performance. All signals are intended for educational purposes only and do not guarantee future results. It is important to note that past performance does not guarantee future outcomes, and proper risk management is crucial.
SMA, 20%UP, 20% SMA, LTH newFeatures:
Simple Moving Averages (SMAs):
200 SMA (Gray): Long-term trend indicator. A widely used benchmark in many trading strategies.
50 SMA (Red): Mid-term trend indicator.
20 SMA (Green): Short-term trend indicator. These three SMAs allow traders to visualize the general market trend over different time horizons.
20% Gain on Green Candles:
This feature tracks continuous green candles and calculates the percentage gain from the lowest low to the highest high in that series.
If the gain is greater than or equal to 20%, the script highlights it with a purple triangle above the candle.
If the series of green candles starts with a candle where the low is below the 200 SMA, a purple diamond appears under the bar, indicating potential strong buying signals.
Lifetime High (LTH):
The script automatically tracks and displays the Lifetime High (LTH), i.e., the highest price ever recorded on the chart.
This level is important for identifying potential resistance areas and monitoring long-term market tops.
Once a new LTH is reached, it is displayed as a green line across the chart.
Support Levels from LTH:
The script calculates 30%, 50%, and 67% down from the LTH, marking key support levels.
These levels are plotted on the chart as orange lines and labeled to assist in spotting potential buy zones or market reversals.
52-Week Low:
It also calculates and displays the 52-week low for quick reference, plotted as a green line.
This helps traders assess major market bottoms and potential areas of support.
Export Candles DataThis program is written in Pine Script (version 5) and is designed to retrieve candlestick data (open, high, low, and close prices) from the TradingView chart. The data is displayed in a table located in the upper right corner of the chart.
Main Functions of the Program:
Retrieving candlestick data: The program processes data for the last 10 candlesticks on the selected timeframe (e.g., hourly, minute, etc.) in the TradingView chart. For each candlestick, it retrieves:
Time of the candle's close
Opening price
Highest price during the period
Lowest price during the period
Closing price
Displaying data in a table: The data is presented in a compact table located in the upper right corner of the chart. The table contains 5 columns:
Time of the candle's close (formatted as yyyy-MM-dd HH:mm)
Opening price
Highest price
Lowest price
Closing price
Clearing the table every 50 bars: To prevent the table from becoming overloaded, it clears itself every 50 bars, starting from the first row and first column.
Data updates dynamically: The table dynamically updates, displaying the latest 10 candles, allowing traders to track current market changes.
Application:
This indicator is useful for traders who want a quick view of key candlestick parameters directly on the chart.
The indicator can be easily applied to any instrument or index in TradingView, such as the IMOEX index.
The table view makes it easy to quickly analyze market movements without needing to inspect each candle individually.
How the Program Works:
On each new bar, the program checks the current bar's index.
The program clears the table if 50 bars have passed since the last clearing.
It writes the data of the last 10 candlesticks into the table: the time of the candle's close, opening price, highest and lowest prices, and closing price.
The table updates automatically and continuously displays the latest data.
This indicator is suitable for both short-term and long-term market analysis, providing a convenient and efficient way to monitor price movements directly on the chart.
Support Resistance DynamicsThe Support Resistance Dynamics indicator is an advanced technical analysis tool designed to identify and visualize key support and resistance levels in real-time. This innovative indicator stands out from traditional support and resistance tools by employing a dynamic approach that adapts to market conditions.
Key Features:
Dynamic Level Calculation: Unlike static support and resistance indicators, this tool continuously updates levels based on recent price action, providing traders with the most relevant and up-to-date information.
Logarithmic Scale Option: The indicator offers a unique logarithmic scale feature, essential for analyzing long-term trends or assets with significant price changes. This allows for more accurate level plotting across various timeframes and price ranges.
Customizable Display: Users can adjust the number of support and resistance lines displayed, allowing for a clean and uncluttered chart view while focusing on the most significant levels.
Adaptive Slope Calculation: The indicator uses an innovative approach to calculate the slope of support and resistance lines, offering options from dynamic adaptation to fixed long-term periods. This ensures the lines remain relevant in both trending and ranging markets.
Enhanced Visualization: With customizable line colors, styles, and transparency, traders can easily distinguish between support and resistance levels, improving chart readability and analysis.
Flexible Period Settings: From dynamic calculations based on recent pivots to fixed long-term periods, the indicator adapts to various trading styles and timeframes.
The Support Resistance Dynamics indicator is particularly useful for:
Identifying potential reversal points in trends
Setting more accurate entry and exit points for trades
Placing stop-loss orders with greater precision
Recognizing breakout levels for potential new trends
By combining dynamic calculation methods with customizable visual elements, this indicator provides traders with a powerful tool for market analysis. Whether you're a day trader looking for short-term opportunities or a long-term investor analyzing macro trends, the Support Resistance Dynamics indicator offers valuable insights to enhance your trading strategy.
This indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any financial instrument. Past performance is not indicative of future results. Trading involves significant risk of loss. Users should conduct their own research and due diligence before making any investment decisions. The creator of this indicator is not responsible for any losses incurred from its use. Always test thoroughly on demo accounts before applying to live trading.
Gaps Trend [ChartPrime]The Gaps Trend - ChartPrime indicator is designed to detect Fair Value Gaps (FVGs) in the market and apply a trailing stop mechanism based on those gaps. It identifies both bullish and bearish gaps and provides traders with a way to manage trades dynamically as gaps appear. The indicator visually highlights gaps and uses the detected momentum to assess trend direction, helping traders identify price imbalances caused by strong buy or sell pressure.
⯁ KEY FEATURES & HOW TO USE
⯌ Fair Value Gap (FVG) Detection :
The indicator automatically detects both bullish and bearish FVGs, identifying gaps between candle highs and lows. Bullish gaps are shown in green, and bearish gaps in purple. These gaps indicate price imbalances driven by strong momentum, such as when there is significant buying or selling pressure.
Use : Traders can use FVG detection to identify periods of high price momentum, offering insight into potential continuation or exhaustion of trends.
⯌ Trailing Stop Feature Based on FVGs :
A core feature of this indicator is the trailing stop mechanism, which adjusts dynamically based on the identified FVGs. When a bullish gap is detected, the trailing stop is placed below the price to capture upward momentum, while bearish gaps result in a trailing stop placed above the price. This feature helps traders stay in trends while protecting profits as the price moves.
Use : The trailing stop follows the momentum of the price, ensuring that traders can stay in profitable trades during strong trends and exit when the momentum shifts.
bullish set up
bearish set up
⯌ Trend Direction Indication :
The indicator colors the chart according to the current trend direction based on the position of the price relative to the trailing stop. Green indicates an uptrend (bullish gap), while purple shows a downtrend (bearish gap). This provides traders with a quick visual assessment of trend direction based on the presence of gaps.
Use : Traders can monitor the chart's color to stay aligned with the market’s trend, staying long during green phases and short during purple ones.
⯌ Gap Size Filtering :
Each detected gap is assigned a numerical ranking based on its size, with larger gaps having higher rankings. The gap size filter allows traders to only display gaps that meet a minimum size threshold, focusing on the most impactful gaps in terms of price movement.
Use : Traders can use the filter to focus on gaps of a certain size, filtering out smaller, less significant gaps. The numerical ranking helps identify the largest and most influential gaps for decision-making.
⯌ FVG Level Visualization :
The indicator can display dashed lines marking the levels of previously filled FVGs. These levels represent areas where price once experienced a gap and later filled it. Monitoring these levels can provide traders with key reference points for potential reactions in price.
Use : Traders can use these gap levels to track where price has filled gaps and potentially use these levels as zones for entry, exit, or assessing market behavior.
⯁ USER INPUTS
Filter Gaps : Adjust the size threshold to filter gaps by their size ranking.
Show Gap Levels : Toggle the display of dashed lines at filled FVG levels.
Enable Trailing Stop : Activate or deactivate the trailing stop feature based on FVGs.
Trailing Stop Length : Set the number of bars used to calculate the trailing stop.
Bullish/Bearish Colors : Customize the colors representing bullish and bearish gaps.
⯁ CONCLUSION
The Gaps Trend indicator combines Fair Value Gap detection with a dynamic trailing stop feature to help traders manage trades during periods of high price momentum. By detecting gaps caused by strong buy or sell pressure and applying adaptive stops, the indicator provides a powerful tool for riding trends and managing risk. The additional ability to filter gaps by size and visualize previously filled gaps enhances its utility for both trend-following and risk management strategies.
Daily Moving Average for Intraday TimeframesThis indicator provides a dynamic tool for visualizing the Daily Moving Average (DMA) on intraday timeframes.
It allows you to analyze how the price behaves in relation to the daily moving average in timeframes from 1 minute up to 1 day.
KEY FEATURES
DMA on Intraday timeframes only : This indicator is designed to work exclusively on intraday charts with timeframes between 1 minute and 1 day. It will not function on tick, second-based, or daily-and-above charts.
Color-Coded Zones for Trend Identification :
Green Zone: The price is above a rising DMA, signaling a bullish momentum.
Red Zone: The price is below a falling DMA, signaling a bearish momentum.
Yellow Zone: Signaling uncertainty or mixed conditions, where either the price is above a falling DMA or below a rising/flat DMA.
Configurable DMA Period : You can adjust the number of days over which the DMA is calculated (default is 5 days). This can be customized based on your trading strategy or market preferences.
24/7 Market Option : For assets that trade continuously (e.g., cryptocurrencies), activate the "Is trading 24/7?" setting to ensure accurate calculations.
WHAT IS THE DMA AND WHY USE IT INTRADAY?
The Daily Moving Average is a Simple Moving Average indicator used to smooth out price fluctuations over a specified period (in days) and reveal the underlying trend.
Typically, a SMA takes price value for the current timeframe and reveal the trend for this timeframe. It gives you the average price for the last N candles for the given timeframe.
But what makes the Intraday DMA interesting is that it shows the underlying trend of the Daily timeframe on a chart set on a shorter timeframe . This helps to align intraday trades with broader market movements.
HOW IS THE DMA CALCULATED?
If we are to build a N-day Daily Moving Average using a Simple Moving Average, we need to take the amount of candles A needed in that timeframe to account for a period of a day and multiply it by the number of days N of the desired DMA.
So for instance, let say we want to compute the 5-Day DMA on the 10 minute timeframe :
In the 10 minute timeframe there are 39 candles in a day in the regular session.
We would take the 39 candles per day and then multiply that by 5 days. 39 x 5 = 195.
So a 5-day moving average is represented by a simple moving average with a period of 195 when looking at a 10 minute timeframe.
So for each period, to create a 5-day DMA, you would have to set the period of your simple moving average like so :
- 195 minutes = 10 period
- 130 minutes = 15 period
- 65 minutes = 30 period
- 30 minutes = 65 period
- 15 minutes = 130 period
- 10 minutes = 195 period
- 5 minutes = 390 period
and so on.
This indicator attempts to do this calculation for you on any intraday timeframe and whatever the period you want to use is for your DMA. You can create a 10-day moving average, a 30-day moving average, etc.
Half Trend HeikinAshi [BigBeluga]This indicator is a cool combo of the half-trend methodology and Heikin Ashi candles. The main idea is to help spot where the market is trending and where it might be reversing by using a mix of moving averages and the highest and lowest price data values. What’s nice is that it doesn’t just give you trend lines but also converts them into Heikin Ashi candles, so you can visually gauge the strength of a trend based on candle sizes.
NIFTY50:
NVIDIA:
🔵 IDEA
The thinking behind this Half Trend HeikinAshi indicator is pretty straightforward: it’s designed to give you a flexible way to detect trends and trend reversals, but with an added bonus—measuring trend strength via Heikin Ashi candles. The core idea is based on the classic half-trend strategy, where it adjusts to the highest and lowest price values within a certain period. The Heikin Ashi transformation smooths out half-trend line, making it easier to spot solid trends and potential reversals.
🔵 KEY FEATURES & USAGE
◉ Half Trend Calculation with Reversal Signals:
The main feature here is spotting trends based on a moving average of the close price and the highest/lowest price data.
//#region ———————————————————— Calculations
// Calculate moving average of close prices
series float closeMA = ta.sma(close, amplitude)
// Calculate highest high and lowest low
series float highestHigh = ta.highest(amplitude)
series float lowestLow = ta.lowest(amplitude)
// Initialize hl_t on the first bar
if barstate.isfirst
hl_t := close
// Update hl_t based on conditions
switch
closeMA < hl_t and highestHigh < hl_t => hl_t := highestHigh
closeMA > hl_t and lowestLow > hl_t => hl_t := lowestLow
=> hl_t := hl_t
When the trend flips, you’ll see arrows on your chart—either pointing up or down—marking the exact price where that reversal occurred. This makes it easy to see where the market might turn, which is helpful for timing entries and exits.
◉ Heikin Ashi Candlestick Transformation:
There’s a Heikin Ashi mode that transforms the half-trend line into Heikin Ashi candles.
These smooth out market noise and make the overall trend much clearer.
◉ Trend Strength Calculation:
The indicator doesn’t just stop at showing trends. It also calculates trend strength based on the size of the Heikin Ashi candles. Bigger candles mean stronger trends, and smaller ones indicate weaker momentum. You can see this displayed on the dashboard, so you know exactly how strong the current trend is at any moment.
◉ Graphical Dashboard Display:
You’ve got a small dashboard right on the chart that shows key info like the ticker, timeframe, and whether the trend is up or down. If you’re in Heikin Ashi mode, it shows trend strength instead. So, no need to dig through the data—you can just glance at the dashboard for a quick market read.
🔵 CUSTOMIZATION
Amplitude Input: You can tweak the amplitude to control how sensitive the half-trend line is. A lower setting makes it more reactive to small price moves, while a higher setting smooths it out for longer-term trends.
Heikin Ashi Toggle: You can easily switch between standard half-trend lines and Heikin Ashi candle mode, depending on how you prefer to see the market.
Trend Colors: You’ve got control over the colors for up and down trends, so you can adjust the appearance to fit your charting style.
Signal Labels size: Change Labels signal sizes for your preference
🔵 CONCLUSION
The Half Trend HeikinAshi indicator is a solid tool for tracking trends and measuring their strength. By combining the usual half-trend signals with Heikin Ashi candles, you get a clearer picture of what’s happening in the market. Whether you're looking to spot potential reversals or just want to measure the strength of a current trend, this indicator gives you plenty of flexibility to do both.
Auto Signal Buy/SellAuto Signal Buy/Sell with Time Filter and Dynamic ZLEMA (GMT+2) 🌟
Are you looking for an indicator that combines efficiency and simplicity while integrating advanced elements like SuperTrend, ZLEMA (Zero Lag EMA), and a MACD DEMA for clear and precise buy/sell signals? 📈 Introducing Auto Signal Buy/Sell, the ultimate indicator designed for intraday and swing traders, optimized for market hours in GMT+2.
🛠️ Key Features:
- **Advanced SuperTrend**: Follow the dominant trend with a robust SuperTrend, adjustable to your preferences (customizable multiplier and period).
- **Dynamic ZLEMA**: Get a zero-lag EMA curve with a visual signal. Additionally, the ZLEMA turns blue when it’s nearly flat, helping you easily spot market consolidation phases.
- **MACD DEMA**: An enhanced version of the traditional MACD, using the Double EMA to capture more responsive buy/sell cross signals. 📊
- **Buy/Sell Signals**: Visual arrows clearly indicate potential entry and exit points on your chart, filtered by MACD crossovers and the SuperTrend trend.
- **Smart Time Filter (GMT+2)**: This script adapts to trading hours (customizable) and only displays signals during trading hours. The background turns light blue when the market is closed, preventing confusion during inactivity periods. 🕒
⚙️ Full Customization:
- Adjustable trading hours (default 9 AM to 5 PM in GMT+2) with dynamic background indicating when markets are closed.
- Flexible settings for SuperTrend, ZLEMA, and MACD DEMA to suit any strategy.
🎯 Why Choose This Indicator?
- Optimized for maximum precision with advanced algorithms like ZLEMA and DEMA.
- Easy to use: it provides clear, visual signals directly on the chart—no need to decipher complex indicators.
- A complete intraday and swing indicator that combines trend analysis and signal filtering with precise market hours.
🚀 Boost Your Trading!
Add this indicator to your toolkit and enhance your decision-making. Thanks to its intuitive interface and clear visual signals, you can trade with confidence. 💡
Don't forget to like 👍 and comment if you find this indicator useful! Your feedback helps us continue improving such tools. 🚀
📌 How to Use:
1. Add the indicator to your chart.
2. Adjust the SuperTrend and ZLEMA settings to suit your needs.
3. Follow the buy/sell signals and watch for the light blue background outside of trading hours.
4. Trade effectively and stay in control, even during consolidation phases.
Median Kijun-Sen [InvestorUnknown]The Median Kijun-Sen is a versatile technical indicator designed for both trend-following strategies and long-term market valuation. It incorporates various display modes and includes a backtest mode to simulate its performance on historical price action.
Key Features:
1. Trend-Following and Long-Term Valuation:
The indicator is ideal for trend-following strategies, helping traders identify entry and exit points based on the relationship between price and the Kijun-Sen calculated from median price (customizable price source).
With longer-term settings, it can also serve as a valuation tool (in oscillator display mode), assisting in identifying potential overbought or oversold conditions over extended timeframes.
2. Display Modes:
The indicator can be displayed in three main modes, each serving a different purpose:
Overlay Mode : Plots the Median Kijun-Sen directly over the price chart, useful for visualizing trends relative to price action.
Oscillator Mode : Displays the oscillator that compares the current price to the Median Kijun-Sen, providing a clearer signal of trend strength and direction
Backtest Mode : Simulates the performance of the indicator with different settings on historical data, offering traders a way to evaluate its reliability and effectiveness without needing TradingView's built-in strategy tool
3. Backtest Functionality:
The inbuilt backtest mode enables users to evaluate the indicator's performance across historical data by simulating long and short trades. Users can customize the start and end dates for the backtest, as well as specify whether to allow long & short, long only, or short only signals.
This backtest functionality mimics TradingView's strategy feature, allowing users to test the effectiveness of their chosen settings before applying them to live markets.
equity(series int sig, series float r, startDate, string signals, bool endDate_bool) =>
if time >= startDate and endDate_bool
float a = 0
if signals == "Long & Short"
if sig > 0
a := r
else
a := -r
else if signals == "Long Only"
if sig > 0
a := r
else if signals == "Short Only"
if sig < 0
a := -r
else
runtime.error("No Signal Type found")
var float e = na
if na(e )
e := 1
else
e := e * (1 + a)
float r = 0.0
bool endDate_bool = use_endDate ? (time <= endDate ? true : false) : true
float eq = 1.0
if disp_mode == "Backtest Mode"
r := (close - close ) / close
eq := equity(sig, r, startDate, signals, endDate_bool)
4. Hint Table for Pane Suggestions:
An inbuilt hint table guides users on how to best visualize the indicator in different display modes:
For Overlay Mode, it is recommended to use the same pane as the price action.
For Oscillator and Backtest Modes, it is advised to plot them in a separate pane for better clarity.
This table also provides step-by-step instructions on how to move the indicator to a different pane and adjust scaling, making it user-friendly.
Potential Weakness
One of the key drawbacks is the indicator’s tendency to produce false signals during price consolidations, where price action lacks clear direction and may trigger unnecessary trades. This is particularly noticeable in markets with low volatility.
Alerts
The indicator includes alert conditions for when it crosses above or below key levels, enabling traders to receive notifications of LONG or SHORT signals.
Summary
The Median Kijun-Sen is a highly adaptable tool that serves multiple purposes, from trend-following to long-term valuation. With its customizable settings, backtest functionality, and built-in hints, it provides traders with valuable insights into market trends while allowing them to optimize the indicator to their specific strategy.
This versatility, however, comes with the potential weakness of false signals during consolidation phases, so it's most effective in trending markets.
Bull Trade Zone IndicatorThe BULL TRADE ZONE INDICATOR is a powerful trading tool designed to help traders identify optimal entry and exit points in the market. This script uses a combination of two Exponential Moving Averages (EMA) and the Average True Range (ATR) to generate buy and sell signals, making it ideal for traders looking to enhance their trading strategy with precise and timely alerts.
Key Features:
Dynamic Buy and Sell Signals: The indicator generates buy signals when the 14 EMA crosses above the 150 EMA and the price is trading above the 150 EMA. Sell signals are generated when the 14 EMA crosses below the 150 EMA and the price is below the 150 EMA, providing clear guidance on potential market trends.
Built-In Stop-Loss Levels: Automatic stop-loss levels are calculated based on the ATR, helping traders manage risk effectively by setting realistic stop-loss points based on market volatility.
Minimal Chart Clutter: To maintain a clean and focused trading environment, the 14 EMA and 150 EMA values are privately used within the script without being visibly plotted on the chart, ensuring that the focus remains on actionable signals.
Clear Visual Alerts: Buy and sell signals are highlighted directly on the chart with intuitive labels, making it easy to spot trading opportunities at a glance.
Who Is This For?
This indicator is suitable for traders of all levels—whether you are a beginner looking for a straightforward trading tool or an experienced trader seeking to add an additional layer of confirmation to your strategy. The BULL TRADE ZONE INDICATOR helps you stay ahead of the market by precisely identifying key trading zones.
How to Use:
Add the indicator to your chart.
Monitor the buy and sell signals generated by the script.
Use the plotted stop-loss levels to manage your trades effectively.
Customize your trading strategy using the indicator’s signals to align with your risk appetite and market view.
Disclaimer:
This indicator is a technical analysis tool designed to assist with decision-making. It should be used alongside other analyses and strategies, not as the sole basis for trading decisions. Always perform your due diligence and risk management when trading.
TPS Short Strategy by Larry ConnersThe TPS Short strategy aims to capitalize on extreme overbought conditions in an ETF by employing a scaling-in approach when certain technical indicators signal potential reversals. The strategy is designed to short the ETF when it is deemed overextended, based on the Relative Strength Index (RSI) and moving averages.
Components:
200-Day Simple Moving Average (SMA):
Purpose: Acts as a long-term trend filter. The ETF must be below its 200-day SMA to be eligible for shorting.
Rationale: The 200-day SMA is widely used to gauge the long-term trend of a security. When the price is below this moving average, it is often considered to be in a downtrend (Tushar S. Chande & Stanley Kroll, "The New Technical Trader: Boost Your Profit by Plugging Into the Latest Indicators").
2-Period RSI:
Purpose: Measures the speed and change of price movements to identify overbought conditions.
Criteria: Short 10% of the position when the 2-period RSI is above 75 for two consecutive days.
Rationale: A high RSI value (above 75) indicates that the ETF may be overbought, which could precede a price reversal (J. Welles Wilder, "New Concepts in Technical Trading Systems").
Scaling-In Mechanism:
Purpose: Gradually increase the short position as the ETF price rises beyond previous entry points.
Scaling Strategy:
20% more when the price is higher than the first entry.
30% more when the price is higher than the second entry.
40% more when the price is higher than the third entry.
Rationale: This incremental approach allows for an increased position size in a worsening trend, potentially increasing profitability if the trend continues to align with the strategy’s premise (Marty Schwartz, "Pit Bull: Lessons from Wall Street's Champion Day Trader").
Exit Conditions:
Criteria: Close all positions when the 2-period RSI drops below 30 or the 10-day SMA crosses above the 30-day SMA.
Rationale: A low RSI value (below 30) suggests that the ETF may be oversold and could be poised for a rebound, while the SMA crossover indicates a potential change in the trend (Martin J. Pring, "Technical Analysis Explained").
Risks and Considerations:
Market Risk:
The strategy assumes that the ETF will continue to decline once shorted. However, markets can be unpredictable, and price movements might not align with the strategy's expectations, especially in a volatile market (Nassim Nicholas Taleb, "The Black Swan: The Impact of the Highly Improbable").
Scaling Risks:
Scaling into a position as the price increases may increase exposure to adverse price movements. This method can amplify losses if the market moves against the position significantly before any reversal occurs.
Liquidity Risk:
Depending on the ETF’s liquidity, executing large trades in increments might affect the price and increase trading costs. It is crucial to ensure that the ETF has sufficient liquidity to handle large trades without significant slippage (James Altucher, "Trade Like a Hedge Fund").
Execution Risk:
The strategy relies on timely execution of trades based on specific conditions. Delays or errors in order execution can impact performance, especially in fast-moving markets.
Technical Indicator Limitations:
Technical indicators like RSI and SMA are based on historical data and may not always predict future price movements accurately. They can sometimes produce false signals, leading to potential losses if used in isolation (John Murphy, "Technical Analysis of the Financial Markets").
Conclusion
The TPS Short strategy utilizes a combination of long-term trend filtering, overbought conditions, and incremental shorting to potentially profit from price reversals. While the strategy has a structured approach and leverages well-known technical indicators, it is essential to be aware of the inherent risks, including market volatility, liquidity issues, and potential limitations of technical indicators. As with any trading strategy, thorough backtesting and risk management are crucial to its successful implementation.
Relative volume zone + Smart Order Flow Dynamic S/ROverview:
The Relative Volume Zone + Smart Order Flow with Dynamic S/R indicator is designed to help traders identify key trading opportunities by combining multiple technical components. This script integrates relative volume analysis, order flow detection, VWAP, RSI filtering, and dynamic support and resistance levels to offer a comprehensive view of the market conditions. It is particularly effective on shorter timeframes (M5, M15), making it suitable for scalping and day trading strategies.
Key Components:
1. Relative Volume Zones:
• The script calculates the relative volume by comparing the current volume with the average volume over a defined lookback period (volLookback). When the relative volume exceeds a specified multiplier (volMultiplier), it indicates a high volume zone, signaling potential accumulation or distribution areas.
• Purpose: Identifies high-volume trading zones that may act as significant support or resistance, indicating possible entry or exit points.
2. Smart Order Flow Analysis:
• The indicator uses Volume Delta (the difference between buying and selling volume) and a Cumulative Delta to detect order imbalances in the market.
• Order Imbalance is identified using a moving average of the Volume Delta (orderImbalance), which helps highlight hidden buying or selling pressure.
• Purpose: Reveals market sentiment by showing whether buyers or sellers dominate the market, aiding in the identification of trend reversals or continuations.
3. VWAP (Volume Weighted Average Price):
• VWAP is calculated over a default daily length (vwapLength) to show the average price a security has traded at throughout the day, based on both volume and price.
• Purpose: Provides insight into the fair value of the asset, indicating whether the market is in an accumulation or distribution phase.
4. RSI (Relative Strength Index) Filter:
• RSI is used to filter buy and sell signals, preventing trades in overbought or oversold conditions. It is calculated using a specified period (rsiPeriod).
• Purpose: Reduces false signals and improves trade accuracy by only allowing trades when RSI conditions align with volume and order flow signals.
5. Dynamic Support and Resistance Levels:
• The script dynamically plots support and resistance levels based on recent swing highs and lows (swingLookback).
• Purpose: Identifies potential reversal zones where price action may change direction, allowing for more precise entry and exit points.
How It Works:
• Buy Signal:
A buy signal is generated when:
• The price enters a high-volume zone.
• The price crosses above a 5-period moving average.
• The cumulative delta shows more buying pressure (cumulativeDelta > SMA of cumulativeDelta).
• The RSI is below 70 (not in overbought conditions).
• Sell Signal:
A sell signal is generated when:
• The price enters a high-volume zone.
• The price crosses below a 5-period moving average.
• The cumulative delta shows more selling pressure (cumulativeDelta < SMA of cumulativeDelta).
• The RSI is above 30 (not in oversold conditions).
• Dynamic Support and Resistance Lines:
Drawn based on recent swing highs and lows, these lines provide context for potential price reversals or breakouts.
• VWAP and Order Imbalance Lines:
Plotted to show the average traded price and highlight order flow shifts, helping to validate buy/sell signals.
How to Use:
1. Apply the Indicator:
Add the script to your chart and adjust the settings to match your trading style and preferred timeframe (optimized for M5/M15).
2. Interpret the Signals:
Use the buy and sell signals in conjunction with dynamic support/resistance, VWAP, and order imbalance lines to identify high-probability trade setups.
3. Monitor Alerts:
Set alerts for significant order flow events to receive notifications when there is a positive or negative order imbalance, indicating potential market shifts.
What Makes It Unique:
This script is unique because it combines multiple market analysis tools — relative volume zones, smart order flow, VWAP, RSI filtering, and dynamic support/resistance — to provide a well-rounded, multi-dimensional view of the market. This integration allows traders to make more informed decisions by validating signals across various indicators, enhancing overall trading accuracy and effectiveness.
Wedge BreakoutThe Wedge Breakout indicator is designed to identify and signal potential breakouts from a wedge pattern, a common technical analysis formation. A wedge pattern typically forms when the price moves within converging trendlines, indicating a potential upcoming breakout either upwards (bullish) or downwards (bearish).
Identifying Pivot Points:
The indicator first calculates pivot points, which are significant highs and lows that define the wedge's upper and lower boundaries.
Pivot Lows: It identifies the lowest price points over a specified length (input_len), which serves as the lower boundary of the wedge.
Pivot Highs: Similarly, it identifies the highest price points over the same length, forming the upper boundary of the wedge.
Drawing Trendlines:
The pivot points are connected to form dashed trendlines that represent the upper and lower boundaries of the wedge.
The indicator uses the SimpleTrendlines library to manage and draw these trendlines dynamically:
Green Trendline: Indicates an upward slope (bullish).
Red Trendline: Indicates a downward slope (bearish).
Calculating the Breakout Conditions:
A breakout is confirmed when the price action fulfills two conditions:
The candle's high exceeds the upper trendline's highest point.
The candle's low drops below the lower trendline's lowest point.
This condition suggests that the price is squeezing within the wedge pattern and is about to break out.
Determining Breakout Direction:
The direction of the breakout is determined by the candle's closing position relative to its opening:
Bullish Breakout (Upward): When the candle closes above its opening price (close > open) after breaching both trendlines, it suggests a bullish breakout. This condition is marked with a green upward triangle .
Bearish Breakout (Downward): When the candle closes below its opening price (close < open) after breaching both trendlines, it suggests a bearish breakout. This condition is marked with a red downward triangle.
Visual Representation:
Green Triangle Up: Plotted below the bar to indicate a potential bullish breakout.
Red Triangle Down: Plotted above the bar to indicate a potential bearish breakout.
Used library:
www.tradingview.com
Adaptive VWAP [QuantAlgo]Introducing the Adaptive VWAP by QuantAlgo 📈🧬
Enhance your trading and investing strategies with the Adaptive VWAP , a versatile tool designed to provide dynamic insights into market trends and price behavior. This indicator offers a flexible approach to VWAP calculations by allowing users to adapt it based on lookback periods or fixed timeframes, making it suitable for a wide range of market conditions.
🌟 Key Features:
🛠 Customizable VWAP Settings: Choose between an adaptive VWAP that adjusts based on a rolling lookback period, or switch to a fixed timeframe (e.g., daily, weekly, monthly) for a more structured approach. Adjust the VWAP to suit your trading or investing style.
💫 Dynamic Bands and ATR Filter: Configurable deviation bands with multipliers allow you to visualize price movement around VWAP, while an ATR-based noise filter helps reduce false signals during periods of market fluctuation.
🎨 Trend Visualization: Color-coded trend identification helps you easily spot uptrends and downtrends based on VWAP positioning. The indicator fills the areas between the bands for clearer visual representation of price volatility and trend strength.
🔔 Custom Alerts: Set up alerts for when price crosses above or below the VWAP, signaling potential uptrend or downtrend opportunities. Stay informed without needing to monitor the charts constantly.
✍️ How to Use:
✅ Add the Indicator: Add the Adaptive VWAP to your favourites and apply to your chart. Choose between adaptive or timeframe-based VWAP calculation, adjust the lookback period, and configure the deviation bands to your preferred settings.
👀 Monitor Bands and Trends: Watch for price interaction with the VWAP and its deviation bands. The color-coded signals and band fills help identify potential trend shifts or price extremes.
🔔 Set Alerts: Configure alerts for uptrend and downtrend signals based on price crossing the VWAP, so you’re always informed of significant market movements.
⚙️ How It Works:
The Adaptive VWAP adjusts its calculation based on the user’s chosen configuration, allowing for a flexible approach to market analysis. The adaptive setting uses a rolling lookback period to continuously adjust the VWAP, while the fixed timeframe option anchors VWAP to key timeframes like daily, weekly, or monthly periods. This flexibility enables traders and investors to use the tool in various market environments.
Deviation bands, calculated with customizable multipliers, provide a clear visual of how far the price has moved from the VWAP, helping you gauge potential overbought or oversold conditions. To reduce false signals, an ATR-based filter can be applied, ensuring that only significant price movements trigger trend confirmations.
The tool also includes a fast exponential smoothing function for the VWAP, helping smooth out price fluctuations without sacrificing responsiveness. Trend confirmation is reinforced by the number of bars that price stays above or below the VWAP, ensuring a more consistent trend identification process.
Disclaimer:
The Adaptive VWAP is designed to enhance your market analysis but should not be relied upon as the sole basis for trading or investing decisions. Always combine it with other analytical tools and practices. No statements or signals from this indicator constitute financial advice. Past performance is not indicative of future results.
