Customizable Multi-Timeframe Doji with Ray and Editable LabelScript Overview
Script Name: Customizable Multi-Timeframe Doji Candle Levels with Ray and Editable Label
Purpose: This script helps traders identify significant price levels based on high timeframe Doji candles, allowing them to visualize key areas of support, resistance, entry, and exit. By plotting real-time Doji levels from higher timeframes directly on the current chart, traders can easily spot areas where market indecision or potential trend reversals have previously occurred, making these levels highly relevant for future price action.
How the Script Works
This script detects Doji candles on a selected higher timeframe (e.g., daily, weekly, monthly) and plots a ray at the Doji’s closing level on the current chart. The Doji candle formation, characterized by an open and close that are very close or equal, is often an indicator of market indecision. By identifying these Doji levels from high timeframes, the script provides traders with insight into where strong support and resistance zones may form.
The script continuously monitors and updates the Doji level based on the selected timeframe, ensuring that only the latest detected Doji candle is displayed on the chart, helping traders avoid clutter and focus on the most recent data.
Core Components and Calculations
1 Doji Detection Logic:
-The script calculates the Doji candle formation based on a small body percentage (defined by the C_DojiBodyPercent parameter) and relative symmetry in upper and lower shadows (defined by C_ShadowPercent and C_ShadowEqualsPercent).
-A Doji is considered valid when the open and close prices are nearly equal, and the shadows are symmetric within the defined parameters, indicating indecision.
2 Multi-Timeframe Data Retrieval:
-Using the request.security() function, the script fetches open, high, low, and close prices from the specified higher timeframe. It applies Doji detection logic to this higher timeframe data.
-barmerge.lookahead_on and barmerge.gaps_on ensure real-time updates, so the Doji level is immediately reflected on the chart when detected.
3 Ray and Label Plotting:
-When a Doji candle is detected on the selected timeframe, the script plots a ray at the Doji's close price, extending forward on the chart.
-Customizable options for the ray, including color, width, and style (solid, dotted, or dashed), help traders visually differentiate the Doji levels from other chart elements.
-An editable label can be positioned alongside the ray to denote the Doji level, with customizable text, color, background, and size to provide additional context.
4 Automatic Line and Label Management:
-The script dynamically deletes any previous ray and label when a new Doji is detected. This approach minimizes chart clutter and ensures that only the most recent Doji level from the higher timeframe is displayed.
Customization Options
1 Timeframe Selection:
Users can choose any timeframe (e.g., hourly, daily, weekly, monthly) to display Doji levels based on their specific trading strategy.
2 Ray and Label Appearance:
Ray: Customize color, width, and line style (solid, dotted, dashed) for better visibility and integration with the chart’s theme.
Label: Customize the label text, background color, text color, text size, and position (above, below, left, or right of the ray) for a personalized view.
How to Use This Script
1 Select the Target Timeframe for Doji Detection: Choose a high timeframe (such as daily or weekly) to view Doji-based support/resistance levels.
2 Set Custom Ray and Label Parameters : Adjust the visual aspects of the ray and label to align with your chart setup and make the Doji level stand out.
3 Interpretation of Doji Levels: Use the plotted Doji levels as potential support or resistance zones. Since Doji candles reflect market indecision, they often precede significant price reversals or strong continuation moves. By analyzing these levels, traders can:
- Identify key support/resistance zones based on historical market indecision.
- Set entry and exit levels around these zones to capitalize on potential reversals or
continuations.
-Spot confluence areas where the Doji level aligns with other indicators or technical patterns.
Recommended Chart Setup
For optimal clarity, use this script on a clean chart, free from overlapping indicators. This script is designed to work independently, so avoid layering multiple support/resistance scripts unless essential to avoid clutter. A clean chart helps ensure that Doji levels are readily visible, enabling a clear focus on significant levels relevant to your trading strategy.
Multitimeframe
Machine Learning RSI [BackQuant]Machine Learning RSI
The Machine Learning RSI is a cutting-edge trading indicator that combines the power of Relative Strength Index (RSI) with Machine Learning (ML) clustering techniques to dynamically determine overbought and oversold thresholds. This advanced indicator adapts to market conditions in real-time, offering traders a robust tool for identifying optimal entry and exit points with increased precision.
Core Concept: Relative Strength Index (RSI)
The RSI is a well-known momentum oscillator that measures the speed and change of price movements, oscillating between 0 and 100. Typically, RSI values above 70 are considered overbought, and values below 30 are considered oversold. However, static thresholds may not be effective in all market conditions.
This script enhances the RSI by integrating a dynamic thresholding system powered by Machine Learning clustering, allowing it to adapt thresholds based on historical RSI behavior and market context.
Machine Learning Clustering for Dynamic Thresholds
The Machine Learning (ML) component uses clustering to calculate dynamic thresholds for overbought and oversold levels. Instead of relying on fixed RSI levels, this indicator clusters historical RSI values into three groups using a percentile-based initialization and iterative optimization:
Cluster 1: Represents lower RSI values (typically associated with oversold conditions).
Cluster 2: Represents mid-range RSI values.
Cluster 3: Represents higher RSI values (typically associated with overbought conditions).
Dynamic thresholds are determined as follows:
Long Threshold: The upper centroid value of Cluster 3.
Short Threshold: The lower centroid value of Cluster 1.
This approach ensures that the indicator adapts to the current market regime, providing more accurate signals in volatile or trending conditions.
Smoothing Options for RSI
To further enhance the effectiveness of the RSI, this script allows traders to apply various smoothing methods to the RSI calculation, including:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Weighted Moving Average (WMA)
Hull Moving Average (HMA)
Linear Regression (LINREG)
Double Exponential Moving Average (DEMA)
Triple Exponential Moving Average (TEMA)
Adaptive Linear Moving Average (ALMA)
T3 Moving Average
Traders can select their preferred smoothing method and adjust the smoothing period to suit their trading style and market conditions. The option to smooth the RSI reduces noise and makes the indicator more reliable for detecting trends and reversals.
Long and Short Signals
The indicator generates long and short signals based on the relationship between the RSI value and the dynamic thresholds:
Long Signals: Triggered when the RSI crosses above the long threshold, signaling bullish momentum.
Short Signals: Triggered when the RSI falls below the short threshold, signaling bearish momentum.
These signals are dynamically adjusted to reflect real-time market conditions, making them more robust than static RSI signals.
Visualization and Clustering Insights
The Machine Learning RSI provides an intuitive and visually rich interface, including:
RSI Line: Plotted in real-time, color-coded based on its position relative to the dynamic thresholds (green for long, red for short, gray for neutral).
Dynamic Threshold Lines: The script plots the long and short thresholds calculated by the ML clustering process, providing a clear visual reference for overbought and oversold levels.
Cluster Plots: Each RSI cluster is displayed with distinct colors (green, orange, and red) to give traders insights into how RSI values are grouped and how the dynamic thresholds are derived.
Customization Options
The Machine Learning RSI is highly customizable, allowing traders to tailor the indicator to their preferences:
RSI Settings : Adjust the RSI length, source price, and smoothing method to match your trading strategy.
Threshold Settings : Define the range and step size for clustering thresholds, allowing you to fine-tune the clustering process.
Optimization Settings : Control the performance memory, maximum clustering steps, and maximum data points for ML calculations to ensure optimal performance.
UI Settings : Customize the appearance of the RSI plot, dynamic thresholds, and cluster plots. Traders can also enable or disable candle coloring based on trend direction.
Alerts and Automation
To assist traders in staying on top of market movements, the script includes alert conditions for key events:
Long Signal: When the RSI crosses above the long threshold.
Short Signal: When the RSI crosses below the short threshold.
These alerts can be configured to notify traders in real-time, enabling timely decisions without constant chart monitoring.
Trading Applications
The Machine Learning RSI is versatile and can be applied to various trading strategies, including:
Trend Following: By dynamically adjusting thresholds, this indicator is effective in identifying and following trends in real-time.
Reversal Trading: The ML clustering process helps identify extreme RSI levels, offering reliable signals for reversals.
Range-Bound Trading: The dynamic thresholds adapt to market conditions, making the indicator suitable for trading in sideways markets where static thresholds often fail.
Final Thoughts
The Machine Learning RSI represents a significant advancement in RSI-based trading indicators. By integrating Machine Learning clustering techniques, this script overcomes the limitations of static thresholds, providing dynamic, adaptive signals that respond to market conditions in real-time. With its robust visualization, customizable settings, and alert capabilities, this indicator is a powerful tool for traders seeking to enhance their momentum analysis and improve decision-making.
As always, thorough backtesting and integration into a broader trading strategy are recommended to maximize the effectiveness!
Dynamic Time Period CandlesThis indicator gives the dynamic history of the current price over various time frames as a series of candles on the right of the display, with optional lines on the chart, so that you can assess the current trend more easily.
In the library I found lots of indicators that looked at the previous xx time period candle, but they then immediately switched to the new xx time candle when it started to be formed. This indicator looks back at the rolling previous time period. With this indicator, you can clearly see how price has been behaving over time.
IMPORTANT SETUP INFO:
Initially, you must go into the settings and select the timeframe (in minutes) that your chart is displaying. If you don't do this then the indicator will look back the wrong number of candles and give you totally wrong results.
You can then setup how high you want the candle labels to be on the chart.
Then you can select settings for each candle that you want displayed. Anywhere between 1 and 5 different timeframes can be displayed on the chart at once.
I initially published an indicator called 'Dynamic 4-Hour Candle (Accurate Highs and Lows)', but this new indicator is so different that it needs to be forked and published as a separate indicator. The reasons for this are below:
The original indicator only looked at the previous 4 hour time period. This indicator allows the user to select any time period that they choose.
The original indicator only looked at one time period. This indicator allows to select between one and five time periods on the chart at once.
The original indicator did not put lines on the chart to show the lookback period and the highs and lows of that time period. This indicator does both those things.
The name of the original indicator in no way now describes what this new indicator is capable of, and would be very misleading to anyone who came across it. This new indicator has a name that much more accurately reflects what its' purpose and functionality is.
Trend of Multiple Oscillator Dashboard ModifiedDescription: The "Trend of Multiple Oscillator Dashboard Modified" is a powerful Pine Script indicator that provides a dashboard view of various oscillator and trend-following indicators across multiple timeframes. This indicator helps traders to assess trend conditions comprehensively by integrating popular technical indicators, including MACD, EMA, Stochastic, Elliott Wave, DID (Curta, Media, Longa), Price Volume Trend (PVT), Kuskus Trend, and Wave Trend Oscillator. Each indicator’s trend signal (bullish, bearish, or neutral) is displayed in a color-coded dashboard, making it easy to spot the consensus or divergence in trends across different timeframes.
Key Features:
Multi-Timeframe Analysis: Displays trend signals across five predefined timeframes (1, 2, 3, 5, and 10 minutes) for each included indicator.
Customizable Inputs: Allows for customization of key parameters for each oscillator and trend-following indicator.
Trend Interpretation: Each indicator is visually represented with green (bullish), red (bearish), and yellow (neutral) trend markers, making trend identification intuitive and quick.
Trade Condition Controls: Input options for the number of positive and negative conditions needed to trigger entries and exits, allowing users to refine the decision-making criteria.
Delay Management: Options for re-entry conditions based on both price movement (in points) and the minimum number of candles since the last exit, giving users flexibility in managing trade entries.
Usage: This indicator is ideal for traders who rely on multiple oscillators and moving averages to gauge trend direction and strength across timeframes. The dashboard allows users to observe trends at a glance and make informed decisions based on the alignment of various trend indicators. It’s particularly useful in consolidating signals for strategies that require multiple conditions to align before entering or exiting trades.
Note: Ensure that you’re familiar with each oscillator’s functionality, as some indicators like Elliott Wave and Wave Trend are simplified for visual coherence in this dashboard.
Disclaimer: This script is intended for educational and informational purposes only. Use it with caution and adapt it to your specific trading plan.
Developer's Remark: "This indicator's comprehensive design allows traders to filter noise and identify the most robust trends effectively. Use it to visualize trends across timeframes, understand oscillator behavior, and enhance decision-making with a more strategic approach."
Trade Mavrix: Elite Trade NavigatorYour ultimate trading companion that helps you spot profitable breakouts, perfect pullbacks, and crucial support & resistance levels. Ready to take your trading to the next level? Let's dive in!
Custom AO with Open Difference**Custom AO with Open Difference Indicator**
This indicator, *Custom AO with Open Difference*, is designed to help confirm trend direction based on the relationship between the daily open price and recent 4-hour open prices. It calculates the Awesome Oscillator (AO) based on the difference between the daily open price and the average of the previous six 4-hour open prices. This approach provides insight into whether the current open price is significantly diverging from recent short-term opens, which can indicate a trend shift or continuation.
### Technical Analysis and Features
1. **Trend Confirmation**: By comparing the daily open with the mean of six previous 4-hour open prices, this indicator helps identify trends. When the current daily open is below the average of recent opens, the AO value will plot as green, signaling potential upward momentum. Conversely, if the daily open is above the recent average, the histogram will plot red, suggesting possible downward momentum.
2. **Non-Repainting**: Since it relies on completed 4-hour and daily open prices, this indicator does not repaint, ensuring that all values remain fixed after the close of each period. This non-repainting feature makes it suitable for backtesting and reliable for trend confirmation without fear of historical changes.
3. **AO Mean Calculation**: The indicator calculates the average of six previous 4-hour open prices, providing a smoothed value to reduce short-term noise. This helps in identifying meaningful deviations, making the AO values a more stable basis for trend determination than using just the latest 4-hour or daily open.
4. **Histogram for Visual Clarity**: The indicator is displayed as a histogram, making it easy to identify trend changes visually. If the AO bar turns green, it’s a signal that the 4-hour average is below the daily open, suggesting an uptrend or bullish momentum. Red bars indicate that the daily open is above the recent 4-hour averages, potentially signaling a downtrend or bearish momentum.
### Practical Application
The *Custom AO with Open Difference* is a versatile tool for confirming the open price trend without needing complex oscillators or lagging indicators. Traders can use this tool to gauge the market sentiment by observing open price variations and use it as a foundation for decision-making in both short-term and daily timeframes. Its non-repainting nature adds reliability for traders using this indicator as part of a broader trading strategy.
Higher Time Frame Support/Resistance [BigBeluga]The Higher Time Frame Support/Resistance indicator is a tool designed to display pivot points derived from higher timeframes on your current chart. These pivot points are calculated based on the highs and lows of price action in different timeframes, and the indicator draws horizontal lines to represent these levels. These lines act as potential support and resistance zones, giving traders key market levels that may influence future price movement.
Each pivot line is color-coded and labeled with its price value and the timeframe it originates from. This allows traders to clearly differentiate between the significance of the levels based on their timeframe. For example, weekly pivot levels may represent stronger, more long-term support and resistance, while hourly pivots offer more immediate, short-term levels to watch.
🔵 IDEA
The Higher Time Frame Support/Resistance indicator is designed to simplify the process of tracking key support and resistance levels across multiple timeframes. Pivot points, which represent turning points in the market, are essential for identifying areas where price might reverse or break out. By displaying these levels from higher timeframes directly on the current chart, traders can quickly identify and react to critical areas in the market without needing to switch between different timeframe charts.
The indicator labels each pivot point with the specific timeframe it comes from (e.g., 4H, 1D, 1W), making it easy for traders to assess the relative strength of each level. Stronger levels from higher timeframes are likely to act as more significant barriers or support zones, while lower timeframe levels can be used for more precise entries and exits.
🔵 KEY FEATURES
Pivot Levels from Multiple Timeframes:
The indicator calculates pivot highs and lows from various higher timeframes (e.g., 4H, 1D, 1W) and plots these levels on the current chart. These pivot points are represented by horizontal lines that extend across the chart, serving as potential support and resistance zones.
Color-Coded Support and Resistance Lines:
Each pivot level is color-coded based on its timeframe, helping traders quickly differentiate between short-term and long-term support and resistance. This visual aid simplifies the analysis and allows for a clearer understanding of key market levels.
Price Labels and Timeframe Information:
In addition to the pivot lines, the indicator displays labels at each level with the corresponding price and timeframe. For example, a label may show "D Pivot High" followed by the exact price. This helps traders understand the origin and significance of each line, allowing for more informed trading decisions.
Labels up and down mark highs and lows from higher timeframes:
Pivot Shadows for Enhanced Clarity:
The indicator can also draw shadow lines that represent the pivot points but with increased transparency. These shadows allow traders to keep track of previous pivots without cluttering the chart with too many solid lines. The width and transparency of these shadows can be customized in the settings.
🔵 HOW TO USE
🔵 CUSTOMIZATION
Timeframes and Pivot Length: Customize which higher timeframes (e.g., 4H, 1D, 1W) you want to display pivot levels from. Adjust the pivot length to control how sensitive the indicator is in detecting market highs and lows.
Line Style and Colors: Adjust the line style (solid, dashed, dotted) and colors for each timeframe to match your personal preference or chart theme. This customization helps in maintaining a clear and visually appealing chart.
Shadow Line Width and Transparency: Control the width and transparency of the shadow pivot lines to reduce chart clutter while still keeping track of key historical levels.
Multi-Trend SynchronizerMulti-Trend Synchronizer
The Multi-Trend Synchronizer indicator provides a multi-timeframe trend analysis using SMMA (Smoothed Moving Average) across three user-defined timeframes: short, medium, and long-term. By synchronizing trends from these timeframes, this tool helps traders identify stronger alignment signals for potential trend continuation or reversal, enhancing decision-making in various market conditions.
Key Features
Multi-Timeframe Trend Analysis: Users can set three different timeframes, allowing flexibility in tracking trends over short (e.g., 15 minutes), medium (e.g., 1 hour), and long-term (e.g., 4 hours) intervals.
Clear Trend Visualization: The indicator plots SMMA lines on the main chart, color-coded by timeframe for intuitive reading. It also displays an at-a-glance trend alignment table, showing the current trend direction (bullish, bearish, or neutral) for each timeframe.
Buy and Sell Signals: Alignment across all timeframes generates Buy and Sell signals, visualized on the chart with distinct markers to aid entry/exit timing.
Usage Notes
This indicator is best used for trend-following strategies. The SMMA-based design provides smoother trend transitions, reducing noise compared to standard moving averages. However, as with all indicators, it is not foolproof and should be combined with other analyses for robust decision-making.
How It Works
The indicator calculates SMMA values for each selected timeframe and tracks trend changes based on SMMA's direction. When all timeframes show a unified direction (either bullish or bearish), the indicator generates a Buy or Sell signal. A table displays real-time trend direction, with color codes to assist traders in quickly assessing the market's overall direction.
Indicator Settings
Timeframes: Customize each SMMA timeframe to align with personal trading strategies or market conditions.
SMMA Length: Adjust the length of the SMMA to control sensitivity. Lower values may increase signal frequency, while higher values provide smoother, more stable trend indicators.
Disclaimer: As with any trend-following tool, this indicator is most effective when used in trending markets and may be less reliable in sideways conditions. Past performance does not guarantee future results, and users should be cautious of market volatility.
Use it for educational purposes!
Enhanced Pressure MTF ScreenerEnhanced Pressure Multi-Timeframe (MTF) Screener Indicator
Overview
The Enhanced Pressure MTF Screener is an add-on that extends the capabilities of the Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis . It provides a clear and consolidated view of buy/sell pressure across multiple timeframes. This indicator allows traders to determine when different timeframes are synchronized in the same trend direction, which is particularly useful for making high-confidence trading decisions.
Image below: is the Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis with the Enhanced Pressure MTF Screener indicator both active together.
Key Features
1.Multi-Timeframe Analysis
The indicator screens various predefined timeframes (from 1 week down to 10 minutes).
It offers a table view that shows buy or sell ratings for each timeframe, making it easy to see which timeframes are aligned.
Traders can choose which timeframes to include based on their trading strategies (e.g., higher timeframes for position trading, lower timeframes for scalping).
2.Pressure and Trend Calculation
Uses Buy and Sell Pressure calculations from the Enhanced Buy/Sell Pressure indicator to determine whether buying or selling is dominant in each timeframe.
By analyzing pressures on multiple timeframes, the indicator gives a comprehensive perspective of the current market sentiment.
The indicator calculates whether a move is strong based on user-defined thresholds, which are displayed in the form of additional signals.
3.Heikin Ashi Option
The Heikin Ashi candle type can be toggled on or off. Using Heikin Ashi helps smooth out market noise and provides a clearer indication of trend direction.
This is particularly helpful for traders who want to filter out market noise and focus on the primary trend.
4.Table Customization
Table Positioning: The table showing timeframe data can be positioned at different locations on the chart—top, middle, or bottom.
Text and Alignment: The alignment and text size of the table can be customized for better visual clarity.
Color Settings: Users can choose specific colors to indicate buying and selling pressure across timeframes, making it easy to interpret.
5.Strong Movement Indicators
The screener provides an additional visual cue (🔥) for timeframes where the movement is deemed strong, based on a user-defined threshold.
This helps highlight timeframes where significant buying or selling pressure is present, which could signal potential trading opportunities.
How the Screener Works
1.Pressure Calculation
For each selected timeframe, the indicator retrieves the Open, High, Low, and Close (OHLC) values.
It calculates buy pressure (the range between high and low when the closing price is higher than the opening) and sell pressure (the range between high and low when the closing price is equal to or lower than the opening).
The screener computes the pressure ratio, which represents the difference between buying and selling pressure, to determine which side is dominant.
2.Trend Rating and Signal Generation
Based on the calculated pressure, the screener determines a trend rating for each timeframe: "Buy," "Sell," or "Neutral." (▲ ,▼ or •)
Additionally, it generates a signal (▲ or ▼) to indicate the current trend direction and whether the move is strong (based on the user-defined threshold).
If the movement is strong, a fire icon (🔥) is added to indicate that there is significant pressure on that timeframe, signaling a higher confidence in the trend.
3.Customizable Strong Move Thresholds
Strong Move Threshold: The screener uses this value to decide whether a trend is significantly strong. A higher value makes it more selective in determining strong moves.
Strong Movement Threshold: Helps determine when an additional strong signal should be displayed, offering further insight into the strength of market movement.
Inputs and Customization
The Enhanced Pressure MTF Screener is highly customizable to fit the needs of individual traders:
General Settings:
Use Heikin Ashi: Toggle this setting to use Heikin Ashi for a smoother trend representation.
Strong Move Threshold: Defines how strong a move should be to be considered significant.
Strong Movement Threshold: Specifies the level of pressure required to highlight a move with the fire icon.
Table Settings:
Position: Choose the vertical position of the screener table (top, middle, or bottom of the chart).
Alignment: Align the table (left, center, or right) to best suit your chart layout.
Text Size: Adjust the text size in the table for better readability.
Table Color Settings:
Users can set different colors to represent buying and selling signals for better visual clarity, particularly when scanning multiple timeframes.
Timeframe Settings:
The screener provides options to include up to ten different timeframes. Traders can select and customize each timeframe to match their strategy.
Examples of available timeframes include 1 Week, 1 Day, 12 Hours, down to 10 Minutes, allowing for both broad and detailed analysis.
Practical Use Case
Identifying Trend Alignment Across Timeframes:
Imagine you are about to take a long trade but want to make sure that the trend direction is aligned across multiple timeframes.
The screener displays "Buy" ratings across the 4H, 1H, 30M, and 10M timeframes, while higher timeframes (like 1W and 1D) also show "Buy" with strong signals (🔥). This indicates that buying pressure is strong across the board, adding confidence to your trade.
Spotting Reversal Opportunities:
If a downtrend is evident across most timeframes but suddenly a higher timeframe, such as 12H, changes to "Buy" while showing a strong move (🔥), this could indicate a potential reversal.
The screener allows you to spot these discrepancies and consider taking early action.
Benefits for Traders
1.Synchronization Across Timeframes:
One of the main strengths of this screener is its ability to show synchronized buy/sell signals across different timeframes. This makes it easy to confirm the strength and consistency of a trend.
For example, if you see that all the selected timeframes display "Buy," this implies that both short-term and long-term traders are favoring the upside, giving additional confidence to go long.
2.Quick and Visual Trend Overview:
The table offers an at-a-glance summary, reducing the time required to manually inspect each timeframe.
This makes it particularly useful for traders who want to make quick decisions, such as day traders or scalpers.
3.Strong Move Indicator:
The use of fire icons (🔥) provides an easy way to identify significant movements. This is particularly helpful for traders looking for breakouts or strong market conditions that could lead to high probability trades.
To put it short or to summarize
The Enhanced Pressure MTF Screener is a powerful add-on for traders looking to understand how buy and sell pressure aligns across multiple timeframes. It offers:
A clear summary of buying or selling pressure across different timeframes.
Heikin Ashi smoothing, providing an option to reduce market noise.
Strong movement signals to highlight significant trading opportunities.
Customizable settings to fit any trading strategy or style.
The screener and the main indicator are best used together, as the screener provides the multi-timeframe overview, while the main indicator provides an in-depth look at each individual bar and trend.
I hope my indicator helps with your trading, if you guys have any ideas or questions there is the comment section :D
WiseOwl Indicator - 1.0 The WiseOwl Indicator - 1.0 is a technical analysis tool designed to help traders identify potential entry points and market trends based on Exponential Moving Averages (EMAs) across multiple timeframes. It focuses on providing clear visual cues for bullish and bearish market conditions, as well as potential breakout opportunities.
Key Features
Multi-Timeframe EMA Analysis: Calculates EMAs on the current timeframe, Daily timeframe, and 15-minute timeframe to confirm trends.
Bullish and Bearish Market Identification: Determines market conditions based on the 200-period EMA on the Daily timeframe.
Directional Candle Coloring: Highlights candles based on their position relative to EMAs to provide immediate visual feedback.
Entry Signals: Plots buy and sell signals on the chart when specific conditions are met on the 1-hour and 4-hour timeframes.
Breakout Candle Highlighting: Colors candles differently when significant price movements occur, indicating potential breakout opportunities.
How It Works
Market Condition Determination:
Bullish Market: When the close price is above the 200-period EMA on the Daily timeframe.
Bearish Market: When the close price is below the 200-period EMA on the Daily timeframe.
Directional Candle Coloring:
Green Background: Applied when the close is above the 50-period EMA and the market is not bearish.
Red Background: Applied when the close is below the 50-period EMA and the market is not bullish.
Uses the Average True Range (ATR) to define a range threshold.
Suppresses signals when EMAs are within this range, indicating a sideways market.
Plotting Entry Signals:
Plots arrows on the chart for potential long and short entries on the 1-hour and 4-hour timeframes.
Breakout Candle Coloring:
Colors candles blue when a bullish breakout condition is met.
Colors candles orange when a bearish breakout condition is met.
How to Use
Trend Identification: Use the background coloring to quickly identify the overall market trend.
Green Background: Suggests bullish conditions; consider looking for long opportunities.
Red Background: Suggests bearish conditions; consider looking for short opportunities.
Entry Signals: Look for plotted arrows on the chart.
Green Upward Arrow: Indicates a potential long entry signal on the 1-hour or 4-hour timeframe.
Red Downward Arrow: Indicates a potential short entry signal on the 1-hour or 4-hour timeframe.
Breakout Opportunities: Watch for candles colored blue or orange.
Blue Candles: Highlight significant upward price movements.
Orange Candles: Highlight significant downward price movements.
Avoiding Ranging Markets: Be cautious when signals are suppressed due to ranging conditions; the market may not have a clear direction.
Example Usage
Identifying a Bullish Market:
The background turns green.
Price crosses above the 50 EMA.
A green upward arrow appears below a candle on the 1-hour or 4-hour chart.
Identifying a Bearish Market:
The background turns red.
Price crosses below the 50 EMA.
A red downward arrow appears above a candle on the 1-hour or 4-hour chart.
Notes
Open-Source Code: The script is open-source, allowing users to review and understand the logic behind the indicator.
Educational Purpose: This indicator is intended to aid in technical analysis and should not be used as the sole basis for trading decisions.
Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk, and you should consult with a qualified financial advisor before making any investment decisions.
Smoothed Heiken Ashi Trend FilterThis indicator applies the Heiken Ashi technique with added smoothing and trend filtering to help reduce noise and improve trend detection.
Components of the Indicator:
Heiken Ashi Calculations:
Heiken Ashi Close (ha_close): This is the smoothed average of the current bar’s open, high, low, and close prices, calculated with a simple moving average (SMA) to filter out noise.
Heiken Ashi Open (ha_open): This is the average of the previous Heiken Ashi Open and the current Heiken Ashi Close. It’s also initialized to smooth the transition on the first bar.
Heiken Ashi High (ha_high) and Low (ha_low): These values are calculated as the highest and lowest values among the high, Heiken Ashi Open, and Heiken Ashi Close for each bar.
Smoothing and Noise Reduction:
Smoothing Length: The indicator applies a smoothing length to the Heiken Ashi Close, calculated with an SMA. This reduces minor fluctuations, giving a clearer view of the price action.
Minimum Body Size Filter: This filter calculates the body size of each Heiken Ashi candle and compares it to a percentage of the Average True Range (ATR). Only significant candles (those with larger bodies) are plotted, reducing weak or indecisive signals.
Trend Filtering with Moving Average:
The indicator uses a simple moving average (SMA) as a trend filter. By comparing the Heiken Ashi Close to the moving average:
Bullish Trend: The Heiken Ashi candle is green when it’s above the moving average.
Bearish Trend: The Heiken Ashi candle is red when it’s below the moving average.
How to Use This Indicator:
Trend Identification:
Green candles signify a bullish trend, while red candles signify a bearish trend.
The smoothing and trend filtering make it easier to identify sustained trends and avoid reacting to short-term fluctuations.
Filtering Out Noise:
Minor price fluctuations and small-bodied candles (often resulting in indecisive signals) are filtered out, leaving only significant signals.
Adjustable Parameters:
Smoothing Length: Controls the degree of smoothing applied to the Heiken Ashi Close value. Increasing this value will make the Heiken Ashi candles smoother.
Minimum Body Size: This is a percentage of the ATR, used to filter out small or indecisive candles.
Trend Moving Average Length: Controls the period of the moving average used as a trend filter.
This Smoothed Heiken Ashi Trend Filter indicator is useful for identifying trends and filtering out noisy signals. By smoothing and filtering, it helps traders focus on the overall trend rather than minor price movements.
Let me know if there’s anything more you’d like to add or adjust!
Volume Bars [jpkxyz]
Multi-Timeframe Volume indicator by @jpkxyz
This script is a Multi-Timeframe Volume Z-Score Indicator. It dynamically calculates /the Z-Score of volume over different timeframes to assess how significantly current
volume deviates from its historical average. The Z-Score is computed for each
timeframe independently and is based on a user-defined lookback period. The
script switches between timeframes automatically, adapting to the chart's current
timeframe using `timeframe.multiplier`.
The Z-Score formula used is: (current volume - mean) / standard deviation, where
mean and standard deviation are calculated over the lookback period.
The indicator highlights periods of "significant" and "massive" volume by comparing
the Z-Score to user-specified thresholds (`zScoreThreshold` for significant volume
and `massiveZScoreThreshold` for massive volume). The script flags buy or sell
conditions based on whether the current close is higher or lower than the open.
Visual cues:
- Dark Green for massive buy volume.
- Red for massive sell volume.
- Green for significant buy volume.
- Orange for significant sell volume.
- Gray for normal volume.
The script also provides customizable alert conditions for detecting significant or massive buy/sell volume events, allowing users to set real-time alerts.
Multi-Timeframe Period Separators█ OVERVIEW
This indicator plots period separators for up to four higher timeframes. The separators are fully customizable and designed to work on any symbols.
█ FEATURES
Reference
You can choose to plot the separators starting from midnight 00:00 or the opening of the exchange trading session.
Timezone
You can specify to localize midnight 00:00 to the region of your liking. The timezone format conveniently requires no manual adjustment during clock changes.
█ NOTES
Scans the bar opening and closing times
The script checks the bar ` time ` and ` time_close ` to pinpoint the separators that can occur intrabar.
Tracks from the last separator
The script tracks the time elapsed since the last separator, which is useful when there is no trading activity or the market is closed. As it can result in missing bars, it plots the separator on the first available bar.
Others
The script automatically hides the separators when navigating to an equal or higher chart timeframe.
2024 - Median High-Low % Change - Monthly, Weekly, DailyDescription:
This indicator provides a statistical overview of Bitcoin's volatility by displaying the median high-to-low percentage changes for monthly, weekly, and daily timeframes. It allows traders to visualize typical price fluctuations within each period, supporting range and volatility-based trading strategies.
How It Works:
Calculation of High-Low % Change: For each selected timeframe (monthly, weekly, and daily), the script calculates the percentage change from the high to the low price within the period.
Median Calculation: The median of these high-to-low changes is determined for each timeframe, offering a robust central measure that minimizes the impact of extreme price swings.
Table Display: At the end of the chart, the script displays a table in the top-right corner with the median values for each selected timeframe. This table is updated dynamically to show the latest data.
Usage Notes:
This script includes input options to toggle the visibility of each timeframe (monthly, weekly, and daily) in the table.
Designed to be used with Bitcoin on daily and higher timeframes for accurate statistical insights.
Ideal for traders looking to understand Bitcoin's typical volatility and adjust their strategies accordingly.
This indicator does not provide specific buy or sell signals but serves as an analytical tool for understanding volatility patterns.
RTI Thresholds Index | mad_tiger_slayerOverview of the Script
The Relative Trend Index (RTI) Threshold Index is a custom indicator for TradingView that enhances a Relative Trend Index (RTI) . The RTI is designed to reflect the market’s trend strength by comparing the current price to dynamically calculated upper and lower trend boundaries. Additionally, the indicator includes overbought and oversold thresholds, and Trend-coded signals to visually represent market conditions for easier analysis. The RTI Threshold Index is created and meant for long term investments targeted for longer swing trades over a few months to years.
How Do Investors Use the RTI Trend Index?
In the provided chart image, the indicator is displayed on a Bitcoin price chart. Here’s what each visual component represents:
INTENDED USES
The RTI Threshold Index is NOT intended for SCALPING.
With the nature of its components and calculations. This indicator will give false signals when the Timeframe is too low. The best intended use for high-quality signals are above the 12hr timeframes (Note: Coded to be used above 1 Day Timeframes)
The RTI Threshold Index is a TREND-FOLLOWING and MEAN REVERTING INDICATOR . With the explanation below of the image you can see both Trend-Following and Mean Reversion Uses.
A VISUAL REPRESENTATION INTENDED USES
Relative Trend Index Line (Green/Red): The main RTI line changes colors based on long or short conditions, providing an immediate visual cue of the trend direction. This conditional state enter long when the RTI is greater than the long threshold and will not enter short until it is less than the short threshold. (vice versa) When the RTI is less than the short threshold and will not enter long until it is greater than the long threshold.
EMA of RTI: A smoothed version of the RTI in yellow for more stable trend analysis. This EMA can be used for LONGER TERM trends. When the smoothed RTI is above 50, investors can assume that the trend will be in a trending state. Because this is slower than the RTI, you will get slower entries and slower exits.
Threshold Lines: Green and red lines for long and short thresholds, along with dashed lines for overbought and oversold levels. These lines can be calibrated to allow the RTI to enter a long trending or short trending state. The lower the value is for Long Threshold line , it will enter a long trend faster. The higher the value for Short Threshold Line , it will exit faster. We can also set Overbought and Oversold Thresholds. With the RTI entering above the Overbought Threshold line, Investors can assume that the environment is getting heated or is overbought. Same for oversold with the RTI entering below the Oversold Threshold line, Investors can assume that the environment is getting heated or is overbought.
Gradient Background: Shaded overbought and oversold areas improve readability by distinguishing these zones. This coloring of the shaded area tells us the oversold and overbought levels.
Colored Candles: Candles change color based on the RTI condition, aligning the price action visually with the trend status. The Green symbolizes a long state while red symbolizes a short state.
__________________________________________________________________________________
The indicator's primary elements include:
Input Parameters: Configurable settings for trend length, sensitivity, moving average (MA) period, thresholds, and overbought/oversold levels.
RTI Calculation: Computation of trend boundaries and the RTI value based on the price's position within these boundaries.
Visual Components: Horizontal threshold lines, plotted RTI values, color-coded candles, and gradient fills for overbought and oversold zones.
1. Input Parameters
The script includes several configurable inputs, allowing users to customize the indicator’s sensitivity and behavior according to market conditions:
Trend Length: Controls the number of data points for trend calculations. Higher values produce a smoother, less responsive trend, while lower values make the trend more sensitive to recent price changes.
Trend Sensitivity: Sets the sensitivity by defining the upper and lower percentiles for the trend boundaries. Higher sensitivity values make the RTI less reactive, while lower values increase responsiveness.
MA length: Defines the period for the Exponential Moving Average (EMA) applied to the RTI, smoothing its output.
longThreshold and shortThreshold: Set the levels for entering long and short positions. The RTI crossing above longThreshold or below shortThreshold signals a long or short condition, respectively.
Overbought and oversold thresholds: When RTI exceeds overbought or falls below oversold, it indicates overbought or oversold market conditions.
2. Relative Trend Index (RTI) Calculation
The RTI is calculated by dynamically setting upper and lower trend boundaries:
Upper Trend and Lower Trend: Calculated by adding and subtracting the standard deviation of the closing price to/from the close, providing a measure of price variation.
upper array and Lower Arrays : Arrays that hold the upper and lower trend values over the specified trend length period.
Sorting and Indexing: After sorting these arrays, the values at specific percentiles (based on trend sensitivity) are selected as UpperTrend and LowerTrend.
RTI formula: The RTI is calculated by normalizing the close price within the range of UpperTrend and LowerTrend. This yields a percentage that reflects the price's relative position within the trend range.
3. Threshold and Signal Lines
Several horizontal lines mark key threshold levels:
midline: A dashed line at 50, marking the RTI midpoint.
overbought and oversold: Dashed lines for the overbought and oversold levels as set by overbought and oversold.
long hline and short hline: Solid lines marking the longThreshold and shortThreshold levels for entering long and short trades. They are colored Green for long threshold and Red for short threshold
4. Long and Short Conditions
The script defines long and short conditions based on the RTI’s position relative to the longThreshold and shortThreshold:
isLong: Set to true when the RTI exceeds longThreshold, signaling a long condition.
isShort: Set to true when the RTI drops below shortThreshold, signaling a short condition. overboughtcandles and oversoldcandles: Boolean variables that indicate when the RTI crosses the overbought or oversold thresholds, enhancing visual feedback.
5. Color Coding
Color-coded elements help to visually indicate the RTI's current state:
rtiColor: Sets the RTI line color based on the long or short condition (green for long, red for short).
obosColor: Colors specific candles in the overbought (yellow) and oversold (purple) regions, adding clarity to these conditions.
6. Plotting and Visualization
The following components display the RTI indicator and its conditions visually:
RTI and EMA Plot: The RTI line is plotted alongside an EMA line for smooth trend observation. The RTI line uses the conditional colors to indicate market conditions.
Background Gradient Fill: Shaded areas between the overbought and oversold levels highlight these zones in the background.
Colored Candles: Candles on the price chart are color-coded based on the RTI condition (green for long, red for short), making it easy to see trend direction changes.
Overbought and Oversold Gradient Fill: Gradient fills are applied to the overbought and oversold regions, creating a visual effect when the RTI reaches extreme levels.
Conclusion
The RTI Threshold Indicator is a powerful tool for assessing trend strength and market conditions. With configurable parameters, it adapts well to various timeframes and market environments, providing investors with a reliable means to identify potential entry and exit points. With configurable parameters, RTI Threshold Indicator can identify market conditions for potential buy and sell zones.
Multi-Timeframe Supertrend Dashboard - EnhancedOverview
The Multi-Timeframe Supertrend Dashboard is a powerful tool designed to give traders a clear view of market trends across multiple timeframes, all from a single dashboard. This indicator leverages the Supertrend method to calculate buy and sell signals based on the direction of price relative to dynamically calculated support and resistance lines. The dashboard is optimized for dark mode and provides easy-to-interpret color-coded signals for each timeframe.
How It Works
The Supertrend indicator is a trend-following indicator that uses the Average True Range (ATR) to set upper and lower bands around the price, adapting dynamically as volatility changes. When the price is above the Supertrend line, the market is considered in an uptrend, triggering a "BUY" signal. Conversely, when the price falls below the Supertrend line, the market is in a downtrend, triggering a "SELL" signal.
This Multi-Timeframe Supertrend Dashboard calculates Supertrend signals for the following timeframes:
1 minute
5 minutes
15 minutes
1 hour
Daily
Weekly
Monthly
For each timeframe, the dashboard shows either a "BUY" or "SELL" signal, allowing traders to assess whether trends align across timeframes. A "BUY" signal displays in green, and a "SELL" signal displays in red, giving a quick visual reference of the overall trend direction for each timeframe.
Customization Options
ATR Period: Defines the period for the Average True Range (ATR) calculation, which determines how responsive the Supertrend lines are to changes in market volatility.
Multiplier: Sets the sensitivity of the Supertrend bands to price movements. Higher values make the bands less sensitive, while lower values increase sensitivity, allowing quicker reactions to changes in price.
How to Interpret the Dashboard
The Multi-Timeframe Supertrend Dashboard allows traders to see at a glance if trends across multiple timeframes are aligned. Here’s how to interpret the signals:
BUY (Green): The current timeframe’s price is in an uptrend based on the Supertrend calculation.
SELL (Red): The current timeframe’s price is in a downtrend based on the Supertrend calculation.
For example:
If all timeframes display "BUY," the asset is in a strong uptrend across multiple time horizons, which may indicate a bullish market.
If all timeframes display "SELL," the asset is likely in a strong downtrend, signaling a bearish market.
Mixed signals across timeframes suggest market consolidation or differing trends across short- and long-term periods.
Use Cases
Trend Confirmation: Use the dashboard to confirm trends across multiple timeframes before entering or exiting a position.
Quick Market Analysis: Get a snapshot of market conditions across timeframes without having to change charts.
Multi-Timeframe Alignment: Identify alignment across timeframes, which is often a strong indicator of market momentum in one direction.
Dark Mode Optimization
The dashboard has been optimized for dark mode, with white text and contrasting background colors to ensure easy readability on darker TradingView themes.
Weekly Range & Trend (Signed)Weekly Trend & Range is basically calculated every week.
It helps to get a broad idea whether coming week market can be directional , volatile or range bound action. So this helps me to get a hint which style of approach should be given more important on positional basis like directional or non-directional.
I mostly track in NSE:BANKNIFTY , NSE:NIFTY , BSE:SENSEX
For example:
Average range difference of past 4 weeks is bigger in compare to current week range difference means good chance for directional opportunities.
Average range difference of past 4 weeks is lesser in compare to current week range difference means good chance for non-directional opportunities.
Directional or Non-directional hint is been shown in terms of probability . So based on this i plan my week and trades.
[Volatility] [Gain & Loss] - OverviewFX:EURUSD
Indicator Overview: Volatility & Gain/Loss - Forex Pair Analysis
This indicator, " —Overview" , is designed for users interested in analyzing the volatility and gain/loss metrics of multiple forex pairs. The tool is especially useful for traders aiming to assess currency pair volatility alongside gain and loss percentages over selected periods. It enables a clearer understanding of pair behavior and aids in decision-making.
Key Features
Customizable Volatility and Gain/Loss Periods : Define your preferred calculation periods and timeframes for both volatility and gain/loss to tailor the indicator to specific trading strategies. Multi-Pair Analysis : This indicator supports up to six forex pairs (default pairs include EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, and USDCAD) and allows you to adjust these pairs as needed. Visual Ranking : Forex pairs are sorted by volatility, displaying the highest pairs at the top for quick reference. Top Gain/Loss Highlighting : The pair with the maximum gain and the pair with the maximum loss are highlighted in the table, making it easy to identify the best and worst performers at a glance.
Indicator Settings
Volatility Settings : Period : Adjust the number of periods used in the ATR (Average True Range) calculation. A default period of 14 is set. Timeframe : Select a timeframe (e.g., Daily, Weekly) for volatility calculation to match your analysis preference.
Gain/Loss Settings : Period : Choose the number of periods for gain/loss calculation. The default is set to 1. Timeframe : Select the timeframe for gain/loss calculation, independent of the volatility timeframe.
Symbol Selection : Configure up to six forex pairs. By default, popular forex pairs are pre-loaded but can be customized to include other currency pairs.
Output and Visualization
Table Display : This indicator displays data in a neatly structured table positioned in the top-right corner of your chart. Columns : Includes columns for the Forex Pair, Volatility Percentage, Gain Percentage, and Loss Percentage. Color Coding : Volatility is displayed in a standard color for clear readability. Gain values are highlighted in green, and Loss values are highlighted in red, allowing for quick visual differentiation. Highlighting : Rows representing the pair with the highest gain and the pair with the most significant loss are especially highlighted for emphasis.
How to Use
Volatility Analysis : This metric gives insight into the average price range movements for each pair over the specified period and timeframe, helping you evaluate the potential for rapid price changes. Gain/Loss Tracking : Gain or loss percentages show the pair's recent performance, allowing you to observe whether a currency pair is trending positively or negatively over the chosen period. Comparative Pair Ranking : Use the table to identify pairs with the highest volatility and extremes in gain or loss to guide trading decisions based on market conditions.
Ideal For
Swing Traders and Day Traders looking to understand short-term market fluctuations in currency pairs. Risk Management : Helps traders gauge pairs with higher risk (volatility) and recent performance (gain/loss) for informed position sizing and risk control.
This indicator is a comprehensive tool for visualizing and analyzing key forex pairs, making it an essential addition for traders looking to stay updated on volatility trends and recent price changes.
Adaptive Support & Resistance Zones Description:
The Enhanced Support and Resistance Zones indicator identifies and visualizes significant support and resistance areas on the chart, helping traders spot potential reversal or breakout points. This tool offers advanced customization options for zone thickness, lookback period, validation criteria, and zone expiration, making it adaptable for various trading styles and market conditions.
Key Features:
1. Zone Thickness Multiplier: The Zone Thickness Multiplier controls the visual “thickness” of each support and resistance zone, allowing traders to adjust the width based on volatility or personal preference. A higher multiplier increases the zone’s range, capturing a wider area around the support or resistance level.
2. Lookback Periods for Support and Resistance: The Lookback for Resistance and Lookback for Support inputs define the number of bars analyzed to identify swing highs and lows, respectively. This allows traders to adjust how far back the script should search for key levels, which can be useful when adjusting for different timeframes or varying levels of historical significance in zones.
3. Minimum Touch Count: To filter out weak zones, the Minimum Touch Count setting establishes the required number of price “touches” (or tests) within a zone before it’s considered valid. By increasing this value, traders can focus only on zones that the price has interacted with frequently, indicating stronger potential support or resistance.
4. Zone Expiration Bars: The Zone Expiration Bars setting enables automatic expiration of older zones, reducing chart clutter from outdated levels. This parameter specifies the maximum number of bars a zone will remain active after its creation. When the set limit is reached, the zone is cleared, allowing the indicator to stay responsive to more recent price action.
5. Dynamic Visualization by Touch Count: Zones with more touches are displayed with a thicker line, visually emphasizing the strength of these areas. Zones with fewer touches are shown with a thinner line, helping traders easily distinguish between stronger and weaker support and resistance levels.
6. Alerts for Zone Touches: Alerts can be configured to notify traders when the price touches the support or resistance zones, offering real-time notifications for potential trading opportunities.
How to Use:
1. Adjusting Zone Thickness: Use the Zone Thickness Multiplier to expand or contract the width of each zone. A higher multiplier may be beneficial in volatile markets, where price tends to fluctuate around levels rather than touching them precisely. Lower values can provide a more precise zone in less volatile environments.
2. Setting Lookback Periods for Zone Identification: The Lookback for Resistance and Lookback for Support inputs allow traders to define how many historical bars to analyze for determining key levels. Longer lookbacks may be useful on higher timeframes to capture more significant support or resistance, while shorter lookbacks can be suitable for lower timeframes or more recent levels.
3. Filtering with Minimum Touch Count: Increase the Minimum Touch Count to filter for stronger zones. For example, setting a minimum touch count of 3 will display only zones that have been tested by the price at least three times, indicating potentially stronger support or resistance.
4. Configuring Zone Expiration: Use Zone Expiration Bars to limit how long each zone remains on the chart, helping to keep the focus on more recent levels. Expiring zones after a set number of bars can be especially useful on lower timeframes, where older levels may no longer be relevant.
5. Using Alerts for Real-Time Notifications: Set up alerts to receive notifications when price enters the support or resistance zones, allowing you to monitor potential trade setups without needing to watch the chart continuously.
This indicator is well-suited for traders aiming to identify high-quality support and resistance areas while managing chart clarity. With these customizable options, traders can adapt the indicator to match their unique trading style and market focus. For best results, test these settings on your preferred timeframe and adjust parameters to fit specific trading goals and market conditions.
Adaptive MA Crossover with ATR-Based Risk MarkersDescription:
The Cross MA Entry Indicator with ATR-Based Stop-Loss and Take-Profit Markers is a powerful tool designed to help traders identify trend-following opportunities while managing risk effectively. By combining customizable moving average (MA) crossovers with ATR-based stop-loss (SL) and take-profit (TP) markers, this indicator provides a complete entry and risk management framework in a single script.
Unique Features:
1. Versatile Moving Average Combinations: The indicator allows users to select from four types of moving averages—SMA, EMA, DEMA, and TEMA—for both fast and slow lines, enabling a variety of crossover configurations. This flexibility helps traders tailor entry signals to specific trading strategies, asset types, or market conditions, enhancing the adaptability of the indicator across different styles and preferences.
2. ATR-Based Dynamic Risk Management: Leveraging the Average True Range (ATR), the indicator dynamically calculates stop-loss and take-profit levels based on market volatility. This approach adjusts to changing market conditions, making it more responsive and reliable for setting realistic, volatility-based risk parameters.
3. Customizable Risk/Reward Ratio: Users can define their preferred risk/reward ratio (e.g., 2:1, 3:1) to tailor take-profit levels relative to stop-loss distances. This feature empowers traders to align trades with their individual risk management strategies and objectives, while maintaining consistency and discipline in execution.
4. Streamlined Visualization of Entry and Risk Levels: Upon a crossover, the indicator places discrete markers at the calculated SL and TP levels, avoiding clutter while providing traders with an immediate view of potential risk and reward. Small dots represent SL and TP levels, offering a clean, clear display of critical decision points.
How to Use:
1. Entry Signals from MA Crossovers: This indicator generates entry signals when the selected moving averages cross, with green markers indicating long entries and red markers indicating short entries. The customizable MA selection enables traders to optimize crossover signals for various timeframes and asset classes.
2. Integrated Risk Markers: SL and TP levels are shown as small dots at the crossover point, based on the ATR multiplier and risk/reward ratio settings. These markers allow traders to quickly visualize the defined risk and potential reward for each entry.
This indicator offers a comprehensive solution for trend-following strategies by combining entry signals with adaptive risk management. Suitable for multiple timeframes, it allows for backtesting and adjustments to ATR and risk/reward parameters for improved alignment with individual trading goals. As with all strategies, thorough testing is recommended to ensure compatibility with your trading approach.
SMC Order Block & Liquidity EntryThe SMC Order Block and Liquidity Trap Entry Strategy script uses Smart Money Concepts (SMC), which analyze institutional actions in the market, to assist traders in identifying high-probability trades. In order to help traders match their entry with institutional activity, this script highlights important regions of interest, including order blocks, liquidity zones, and indications for Break of Structure (BOS) or Change of Character (CHoCH).
The fundamental ideas of this approach, which focuses on regions where institutions frequently make sizable orders or sweep liquidity, are based on SMC principles. Order blocks, which are frequently important support or resistance zones when institutions are involved, are the final bullish or bearish candle before a significant price move in the other direction. There are liquidity zones that show where retail stop-loss orders build up (above recent highs or below recent lows), such as Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL). Before changing the direction of the price, institutions could target these zones, giving traders possible chances.
The script depicts liquidity levels above or below recent highs and lows, automatically finds order blocks within a specified lookback time, and looks for BOS (a continuation signal) or CHoCH (a reversal signal). When liquidity retests inside an order block coincide with BOS or CHoCH circumstances, entry signals are produced. While short entries are triggered when the price breaks below the order block and SSL, long entry alerts are triggered when the price breaks above the order block and BSL.
Austin's Apex AcceleratorIndicator Name: Austin’s Apex Accelerator
Overview
The Austin’s Apex Accelerator is a highly aggressive trading indicator designed specifically for high-frequency Forex trading. It combines several technical analysis tools to identify rapid entry and exit points, making it well-suited for intraday or even lower timeframe trades. The indicator leverages a combination of exponential moving averages (EMAs), Bollinger Bands, volume filters, and volatility-adjusted ranges to detect breakout opportunities and manage risk with precision.
Core Components
Fast and Slow EMAs: The two EMAs act as trend and momentum indicators. When the shorter EMA crosses the longer EMA, it signals a change in momentum. The crossover of these EMAs often indicates a potential entry point, especially when combined with volume and volatility filters.
ATR-Based Range Filter: Using the Average True Range (ATR) for dynamic range calculation, the indicator adapts to market volatility. Higher ATR values widen the range, helping the indicator adjust for volatile conditions.
Volume Filter: A volume condition ensures that buy and sell signals only trigger when there’s significant market interest, reducing the likelihood of false signals in low-liquidity environments.
Bollinger Bands: The Bollinger Bands provide additional context for potential overbought or oversold conditions, highlighting opportunities for price reversals or trend continuations.
Key Features
Aggressive Buy and Sell Signals:
Buy Signal: A buy signal is generated when the fast EMA crosses above the slow EMA, confirming bullish momentum, and the volume condition is met. If the price is also near the lower Bollinger Band, it adds further confirmation of an oversold condition.
Sell Signal: A sell signal is generated when the fast EMA crosses below the slow EMA, confirming bearish momentum, with sufficient trading volume. If the price is near the upper Bollinger Band, it signals a potential overbought condition, which supports the sell signal.
Dynamic Range with ATR:
The indicator uses a volatility-based range, derived from the ATR, to adjust the signal sensitivity based on recent price fluctuations. This dynamic range ensures that signals are responsive in both high and low volatility conditions.
The range’s upper and lower bands act as thresholds, with trades often occurring when the price breaches these levels, signaling momentum shifts or trend reversals.
Trend Background Color:
A green background highlights bullish trends when the fast EMA is above the slow EMA.
A red background signifies bearish trends when the fast EMA is below the slow EMA, providing a visual indication of the overall market trend direction.
Trend Line:
The indicator plots a dynamic trend line that changes color based on the price's relationship to the EMAs, helping traders quickly assess the current trend’s strength and direction.
Alerts:
The indicator includes configurable alerts for buy and sell signals, allowing traders to be notified of entry opportunities without needing to monitor the chart continuously.
How to Use Austin’s Apex Accelerator
Identify Entry Points:
Buy Entry: When the fast EMA crosses above the slow EMA, a buy signal is triggered. Confirm this signal by checking if the price is near or below the lower Bollinger Band (indicating an oversold condition) and if trading volume meets the set threshold.
Sell Entry: When the fast EMA crosses below the slow EMA, a sell signal is triggered. Confirm the signal by ensuring the price is near or above the upper Bollinger Band (suggesting an overbought condition) and that volume is sufficient.
Exit Strategy:
Take Profit: The take profit level is calculated as 1.5 times the ATR from the entry point. This ensures that each trade aims to achieve a positive risk/reward ratio.
Stop Loss: The stop loss is set at 1 ATR from the entry, providing a tight risk control mechanism that limits potential losses on each trade.
Trend Identification and Background Colors:
Use the background colors to assess the trend direction. A green background indicates a bullish trend, while a red background suggests a bearish trend. These colors can help you filter signals that go against the trend, increasing the chances of a successful trade.
Volume Confirmation:
This indicator has an inbuilt volume filter to prevent trading in low-volume conditions. Look for signals only when volume exceeds the average volume threshold, which is set by the multiplier. This helps avoid trading during quieter times when false signals are more likely.
Alerts:
Set up alerts for buy and sell signals to be notified in real-time whenever a new trading opportunity arises, so you can act on high-quality signals promptly.
Practical Tips for Using Austin’s Apex Accelerator
Timeframe: Best suited for short timeframes such as 5-minute or 15-minute charts for high-frequency trading.
Performance Summary and Shading (Offset Version)Modified "Recession and Crisis Shading" Indicator by @haribotagada (Original Link: )
The updated indicator accepts a days offset (positive or negative) to calculate performance between the offset date and the input date.
Potential uses include identifying performance one week after company earnings or an FOMC meeting.
This feature simplifies input by enabling standardized offset dates, while still allowing flexibility to adjust ranges by overriding inputs as needed.
Summary of added features and indicator notes:
Inputs both positive and negative offset.
By default, the script calculates performance from the close of the input date to the close of the date at (input date + offset) for positive offsets, and from the close of (input date - offset) to the close of the input date for negative offsets. For example, with an input date of November 1, 2024, an offset of 7 calculates performance from the close on November 1 to the close on November 8, while an offset of -7 calculates from the close on October 25 to the close on November 1.
Allows user to perform the calculation using the open price on the input date instead of close price
The input format has been modified to allow overrides for the default duration, while retaining the original capabilities of the indicator.
The calculation shows both the average change and the average annualized change. For bar-wise calculations, annualization assumes 252 trading days per year. For date-wise calculations, it assumes 365 days for annualization.
Carries over all previous inputs to retain functionality of the previous script. Changes a few small settings:
Calculates start to end date performance by default instead of peak to trough performance.
Updates visuals of label text to make it easier to read and less transparent.
Changed stat box color scheme to make the text easier to read
Updated default input data to new format of input with offsets
Changed default duration statistic to number of days instead of number of bars with an option to select number of bars.
Potential Features to Add:
Import dataset from CSV files or by plugging into TradingView calendar
Example Input Datasets:
Recessions:
2020-02-01,COVID-19,59
2007-12-01,Subprime mortgages,547
2001-03-01,Dot-com,243
1990-07-01,Oil shock,243
1981-07-01,US unemployment,788
1980-01-01,Volker,182
1973-11-01,OPEC,485
Japan Revolving Door Elections
2006-09-26, Shinzo Abe
2007-09-26, Yasuo Fukuda
2008-09-24, Taro Aso
2009-09-16, Yukio Hatoyama
2010-07-08, Naoto Kan
2011-09-02, Yoshihiko Noda
Hope you find the modified indicator useful and let me know if you would like any features to be added!
