trending -Separate Pane Color BandThe "Donchian trendi multi time frame Color Band" is designed to identify trend directions based on swing highs and lows (similar to Donchian channel concepts, where trends are determined by breakouts from recent highs/lows). The indicator operates in a separate pane (overlay = false) and primarily visualizes:
Trend Direction: Determined by the relative positions of the most recent swing high and swing low. If the last swing high occurred after the last swing low, it's considered an uptrend (bullish); otherwise, a downtrend (bearish).
Adaptive Trend Band: A colored area plot in the indicator pane that represents an adaptive tracking period (influenced by volatility if enabled), filled with a color indicating the current trend (green for up, red for down).
Multi-Timeframe (MTF) Table: An optional table displayed in the top-right corner, showing the trend signal (Bullish or Bearish) for up to 6 user-defined higher timeframes. Each cell is colored based on the trend.
The indicator uses swing detection to gauge trend, incorporates optional volatility-based adaptation for responsiveness, and focuses on multi-timeframe analysis for broader market context. It's not a direct Donchian channel (which typically plots upper/lower bands), but borrows the idea of using highest/lowest prices over a period to detect pivots. It doesn't generate buy/sell signals explicitly but can be used for trend confirmation across timeframes.
Key features include tooltips for inputs, making it user-friendly, and limits on bars/labels for performance.
Key Inputs and Their Roles
The indicator provides customizable inputs grouped into "Swing Points", "Style", and "Multi Timeframe". Here's a breakdown:
Swing Period (prd): Default 50, minimum 2. This sets the lookback period (in bars) for identifying swing highs and lows. Higher values capture major swings (less noise, more lag); lower values detect minor swings (more responsive, but noisier).
Adaptive Price Tracking (baseAPT): Default 20, minimum 1. This base value controls the responsiveness of an adaptive tracking mechanism (similar to a VWAP or moving average length). Lower values make it tighter to price action; higher values smooth it out.
Adapt APT by ATR ratio (useAdapt): Default false. If enabled, the tracking period dynamically adjusts based on market volatility (measured via ATR - Average True Range). High volatility shortens the period for faster reaction; low volatility lengthens it for smoothness.
Volatility Bias (volBias): Default 10.0, minimum 0.1. This amplifies or dampens how much volatility affects the adaptive tracking. Values >1 make it more sensitive to volatility changes; <1 make it less reactive.
Up Color (S): Default lime (green). Color for bullish trends in the band and table.
Down Color (R): Default red. Color for bearish trends in the band and table.
Show MTF Table (show_table): Default true. Toggles the display of the multi-timeframe trend table.
Time frames (tf1 to tf6): Defaults: '1' (1-minute), '3' (3-minute), '15' (15-minute), '60' (1-hour), '240' (4-hour), 'D' (daily). These are the higher timeframes for which trend directions are calculated and shown in the table.
Usage and Interpretation
On the Chart: Add this to a TradingView chart (e.g., for stocks, crypto, forex). The colored area in the indicator pane shows the current timeframe's trend: green band = bullish, red = bearish. The band's height reflects the adaptive period (wider in low volatility if adaptation is on).
MTF Table: Use this for alignment across timeframes. If most/higher timeframes are bullish, it might confirm an uptrend on the current chart. Ideal for trend-following strategies (e.g., trade in the direction of higher TFs).
Customization Tips:
Increase prd for longer-term trends.
Enable useAdapt in choppy markets for better responsiveness.
Adjust timeframes to match your trading style (e.g., scalping: lower TFs; swing: higher).
Limitations:
Relies on historical bars (max_bars_back=5000), so it may not load on very long charts.
No alerts or signals built-in; it's visual-only.
The "Donchian" in the name is loose—it's more pivot-based than full channels.
Adaptation uses ATR, which assumes volatility drives trend responsiveness, but may lag in ranging markets.
在腳本中搜尋" TABLE "
Volume Spike Alert & Overlay"Volume Spike Alert & Overlay" highlights unusually high trading volume on a chart. It calculates whether the current volume exceeds a user-defined percentage above the historical average and triggers an alert if it does. The information is also displayed in a customizable on-screen table.
What It Does
Monitors volume for each bar and compares it to an average over a user-defined lookback period.
Supports multiple smoothing methods (SMA, EMA, WMA, RMA) for calculating the average volume.
Triggers an alert when current volume exceeds the threshold percentage above the average.
Displays a table on the chart with:
Current Volume
Average Volume
Threshold Percentage
Optional empty row for spacing/formatting
How It Works
User Inputs:
lookbackPeriods: Number of bars used to calculate the average volume.
thresholdPercent: % above the average that triggers a volume spike alert.
smoothingType: Type of moving average used for volume calculation.
textColor, bgColor: Formatting for the display table.
tablePositionInput: Where the table appears on the chart (e.g., Bottom Right).
Toggles for showing/hiding parts of the table.
Volume Calculations:
Calculates current bar's volume.
Calculates average volume using the selected smoothing method.
Computes the threshold: avgVol * (1 + thresholdPercent / 100).
Compares current volume to threshold.
Table Display:
Dynamically creates a table with volume stats.
Adds rows based on user preferences.
Alerts:
alertcondition fires when currentVol crosses above the calculated threshold.
Message: "Volume Threshold Exceeded"
Usage Examples
Example 1: Spotting High Activity
Apply the script to a stock like AAPL on a 5-minute chart.
Set lookbackPeriods to 20 and thresholdPercent to 30.
Use EMA for more reactive volume tracking.
When volume spikes more than 30% above the 20-period EMA, an alert triggers.
Example 2: Day Trading Filter
For scalpers, apply it to a 1-minute crypto chart (e.g., BTC/USDT).
Set thresholdPercent to 50 to catch only strong surges.
Position the table at the top left and reduce visible info for a clean layout.
Example 3: Long-Term Context
On a daily chart, use SMA and set lookbackPeriods to 50.
Helps identify breakout moves supported by strong volume.
How this is different from Trading View's Volume indicator:
The standard volume plot from trading view allows users to set a alert when the average line is crossed, but it does not allow you to set a custom percentage at which to trigger an alert. This indicator will allow you to set any percentage you wish to monitor and above that percentage threshold will trigger your alert.
===== ORIGINAL DESCRIPTION =====
Volume Spike Alert & Overlay
This indicator will display the following as an overlay on your chart:
Current volume
Average Volume
Threshold for Alert
Description:
This indicator will display the current bar volume based on the chart time frame,
display the average volume based on selected conditions,
allow user selectable threshold over the average volume to trigger an alert.
Options:
Average lookback period
Smoothing type
Alert Threshold %
Enable / Disable Each Value
Change Text Color
Change Background Color
Change Table location
Add/Remove extra row for placement in top corner
Usage Example:
I use this indicator to alert when the current volume exceeds the average volume by a specified percentage to alert to volume spikes.
Set the threshold to 25% in the settings
Create an alert by clicking on the 3 dots on the right of the indicator title on the chart
When the threshold is exceeded the alert will trigger
NY Reversal Pattern StatsThe NY Reversal Pattern Stats indicator is a tool for identifying and analyzing specific price action patterns that occur during the New York trading session. Its goal is to highlight potential reversal or continuation opportunities that may arise from market manipulation or shifts in volatility within this key market window. Beyond simply identifying patterns, the indicator provides valuable historical statistics on their performance, helping traders evaluate their effectiveness.
Key Features
New York Session Highlighting: Clearly visualizes the defined New York trading session directly on your chart.
Automated Pattern Detection: Automatically detects two types of patterns within the New York session:
Manipulation Wick: Identifies instances where price attempts to push significantly beyond a recent session extreme but is rejected, resulting in a wick with the close returning to the original side.
Low Volatility Reversal: Detects price interaction with a recent session extreme where the resulting candle shows lower-than-average volatility, suggesting potential exhaustion or a reversal point.
Pattern Confirmation Tracking: Tracks whether a detected pattern leads to a follow-through move based on a defined confirmation rule (currently, price returning to the session midpoint).
Comprehensive Statistics Table: Displays a detailed table on the chart summarizing:
Total patterns observed.
Number of patterns that were confirmed.
Success and failure rates.
Maximum losing streak.
Statistical relevance metrics (Sigma, Z-Score, P-value) to help assess if the observed success rate is likely due to chance.
A clear description interpreting the statistical relevance and pattern performance (more often right/wrong).
Customizable Visuals: Allows users to control the appearance of the session background and pattern labels.
Alerts: Provides options to set alerts when a new pattern is detected or when a detected pattern is confirmed.
How to Use the Indicator
Add to Chart: Apply the "NY Reversal Pattern Stats" indicator to your desired chart in TradingView.
Configure Inputs: Open the indicator's settings to customize the parameters:
Session Time Definition: Set the exact start hour, minute, and duration (in hours) for the New York session you wish to analyze. Use the "NY Time" inputs (e.g., 6:00 AM - 10:00 AM for Indices, 5:00 AM - 9:00 AM for Forex). The indicator uses the "America/New_York" timezone to handle Daylight Saving Time.
NY Session Visuals: Choose whether to display the session background and pattern labels, and customize their colors.
Pattern Detection: Adjust the sensitivity of the Manipulation Wick threshold and configure the settings for the Low Volatility Reversal pattern detection (enable/disable, ATR length, volatility factor).
Confirmation: Enable or disable the session midpoint confirmation criterion.
Show Statistics Table: Toggle the visibility of the statistics table.
Interpret the Chart: Observe the highlighted New York session windows and the labels indicating detected and confirmed patterns.
Analyze the Statistics Table: Refer to the statistics table for historical performance data.
Total Patterns: Indicates the sample size. More patterns generally lead to more statistically reliable results.
Confirmed/Failed: Shows the raw counts of successful and unsuccessful patterns based on the confirmation rule.
Success/Fail Rate (%): Provides the percentage of patterns that met or did not meet the confirmation criterion.
Statistical Relevance: Read the description provided in the table. It interprets the Z-Score and sample size to tell you if the observed success rate is statistically significant (i.e., unlikely to be just random chance).
Pattern Performance: Read the description indicating whether the pattern has historically been "More often right than wrong" or "More often wrong than right" based on the success rate.
Sigma / Z-Score / P-value: These are standard statistical measures. A higher absolute Z-Score and a lower P-value (especially below 0.05 or 0.01) suggest stronger statistical evidence that the pattern's success rate is different from a random 50/50 outcome.
Set Alerts: If desired, configure alerts to be notified when patterns are detected or confirmed, allowing you to potentially take action in real-time.
Interpretation of Results
High Success Rate + High Statistical Relevance: This combination suggests the detected pattern, as defined and confirmed by the indicator, has historically shown a consistent edge within the specified New York session window, and this performance is unlikely due to random chance.
High Success Rate + Low Statistical Relevance: The pattern has performed well in the observed data, but the sample size might be too small for high confidence that this performance will continue.
Low Success Rate + High Statistical Relevance: The pattern, as defined, has historically shown a tendency to fail more often than succeed, and this underperformance is statistically significant.
Low Statistical Relevance (Regardless of Success Rate): The sample size is insufficient to draw strong conclusions about the pattern's effectiveness. More historical data is needed.
Remember that past performance is not indicative of future results. Statistical analysis provides insights into historical tendencies, but trading decisions should always involve a comprehensive analysis and risk management plan.
Limitations
Timeframe Dependency: The pattern detection and session high/low accumulation operate on the chart's current timeframe. It does not specifically analyze only the 4-hour candles as might be implied by "4H Candle Profiling Patterns".
Confirmation Criterion: The confirmation rule is fixed to price returning to the session midpoint. If your strategy uses a different confirmation or target, this indicator's statistics may not directly reflect its performance.
No London/Asia Filter: The indicator does not check the performance or characteristics of the London or Asia sessions to filter for instances where "London and Asia Fail".
Potential Timezone Compiler Issues: While the code uses standard v6 timezone handling, some specific TradingView environments may exhibit unexpected behavior with timezone strings, potentially affecting the precise timing of the session boundaries.
This indicator is a powerful tool for analyzing specific price action patterns during the New York session. By understanding its inputs, outputs, and limitations, traders can gain valuable insights into potential trading opportunities.
Uptrick: Alpha TrendIntroduction
Uptrick: Alpha Trend is a comprehensive technical analysis indicator designed to provide traders with detailed insights into market trends, momentum, and risk metrics. It adapts to various trading styles—from quick scalps to longer-term positions—by dynamically adjusting its calculations and visual elements. By combining multiple smoothing techniques, advanced color schemes, and customizable data tables, the indicator offers a holistic view of market behavior.
Originality
The Alpha Trend indicator distinguishes itself by blending established technical concepts with innovative adaptations. It employs three different smoothing techniques tailored to specific trading modes (Scalp, Swing, and Position), and it dynamically adjusts its parameters to match the chosen mode. The indicator also offers a wide range of color palettes and multiple on-screen tables that display key metrics. This unique combination of features, along with its ability to adapt in real time, sets it apart as a versatile tool for both novice and experienced traders.
Features
1. Multi-Mode Trend Line
The indicator automatically selects a smoothing method based on the trading mode:
- Scalp Mode uses the Hull Moving Average (HMA) for rapid responsiveness.
- Swing Mode employs the Exponential Moving Average (EMA) for balanced reactivity.
- Position Mode applies the Weighted Moving Average (WMA) for smoother, long-term trends.
Each method is chosen to best capture the price action dynamics appropriate to the trader’s timeframe.
2. Adaptive Momentum Thresholds
It tracks bullish and bearish momentum with counters that increment as the trend confirms directional movement. When these counters exceed a user-defined threshold, the indicator generates optional buy or sell signals. This approach helps filter out minor fluctuations and highlights significant market moves.
3. Gradient Fills
Two types of fills enhance visual clarity:
- Standard Gradient Fill displays ATR-based zones above and below the trend line, indicating potential bullish and bearish areas.
- Fading Gradient Fill creates a smooth transition between the trend line and the price, visually emphasizing the distance between them.
4. Bar Coloring and Signal Markers
The indicator can color-code bars based on market conditions—bullish, bearish, or neutral—allowing for immediate visual assessment. Additionally, signal markers such as buy and sell arrows are plotted when momentum thresholds are breached.
5. Comprehensive Data Tables
Uptrick: Alpha Trend offers several optional tables for detailed analysis:
- Insider Info: Displays key metrics like the current trend value, bullish/bearish momentum counts, and ATR.
- Indicator Metrics: Lists input settings such as trend length, damping, signal threshold, and net momentum.
- Market Analysis: Summarizes overall trend direction, trend strength, Sortino ratio, return, and volatility.
- Price & Trend Dynamics: Details price deviation from the trend, trend slope, and ATR ratio.
- Momentum & Volatility Insights: Presents RSI, standard deviation (volatility), and net momentum.
- Performance & Acceleration Metrics: Focuses on the Sortino ratio, trend acceleration, return, and trend strength.
Each table can be positioned flexibly on the chart, allowing traders to customize the layout according to their needs.
Why It Combines Specific Smoothing Techniques
Smoothing techniques are essential for filtering out market noise and revealing underlying trends. The indicator combines three smoothing methods for the following reasons:
- The Hull Moving Average (HMA) in Scalp Mode minimizes lag and responds quickly to price changes, which is critical for short-term trading.
- The Exponential Moving Average (EMA) in Swing Mode gives more weight to recent data, striking a balance between speed and smoothness. This makes it suitable for mid-term trend analysis.
- The Weighted Moving Average (WMA) in Position Mode smooths out short-term fluctuations, offering a clear view of longer-term trends and reducing the impact of transient market volatility.
By using these specific methods in their respective trading modes, the indicator ensures that the trend line is appropriately responsive for the intended time frame, enhancing decision-making while maintaining clarity.
Inputs
1. Trend Length (Default: 30)
Defines the lookback period for the smoothing calculation. A shorter trend length results in a more responsive line, while a longer length produces a smoother, less volatile trend.
2. Trend Damping (Default: 0.75)
Controls the degree of smoothing applied to the trend line. Lower values lead to a smoother curve, whereas higher values increase sensitivity to price fluctuations.
3. Signal Strength Threshold (Default: 5)
Specifies the number of consecutive bullish or bearish bars required to trigger a signal. Higher thresholds reduce the frequency of signals, focusing on stronger moves.
4. Enable Bar Coloring (Default: True)
Toggles whether each price bar is colored to indicate bullish, bearish, or neutral conditions.
5. Enable Signals (Default: True)
When enabled, this option plots buy or sell arrows on the chart once the momentum thresholds are met.
6. Enable Standard Gradient Fill (Default: False)
Activates ATR-based gradient fills around the trend line to visualize potential support and resistance zones.
7. Enable Fading Gradient Fill (Default: True)
Draws a gradual color transition between the trend line and the current price, emphasizing their divergence.
8. Trading Mode (Options: Scalp, Swing, Position)
Determines which smoothing method and ATR period to use, adapting the indicator’s behavior to short-term, medium-term, or long-term trading.
9. Table Position Inputs
Allows users to select from nine possible chart positions (top, middle, bottom; left, center, right) for each data table.
10. Show Table Booleans
Separate toggles control the display of each table (Insider Info, Indicator Metrics, Market Analysis, and the three Deep Tables), enabling a customized view of the data.
Color Schemes
(Default) - The colors in the preview image of the indicator.
(Emerald)
(Sapphire)
(Golden Blaze)
(Mystic)
(Monochrome)
(Pastel)
(Vibrant)
(Earth)
(Neon)
Calculations
1. Trend Line Methods
- Scalp Mode: Utilizes the Hull Moving Average (HMA), which computes two weighted moving averages (one at half the length and one at full length), subtracts them, and then applies a final weighted average based on the square root of the length. This method minimizes lag and increases responsiveness.
- Swing Mode: Uses the Exponential Moving Average (EMA), which assigns greater weight to recent prices, thus balancing quick reaction with smoothness.
- Position Mode: Applies the Weighted Moving Average (WMA) to focus on longer-term trends by emphasizing the entire lookback period and reducing the impact of short-term volatility.
2. Momentum Tracking
The indicator maintains separate counters for bullish and bearish momentum. These counters increase as the trend confirms directional movement and reset when the trend reverses. When a counter exceeds the defined signal strength threshold, a corresponding signal (buy or sell) is triggered.
3. Volatility and ATR Zones
The Average True Range (ATR) is calculated using a period that adapts to the selected trading mode (shorter for Scalp, longer for Position). The ATR value is then used to define upper and lower zones around the trend line, highlighting the current level of market volatility.
4. Return and Trend Acceleration
- Return is calculated as the difference between the current and previous closing prices, providing a simple measure of price change.
- Trend Acceleration is derived from the change in the trend line’s movement (its first derivative) compared to the previous bar. This metric indicates whether the trend is gaining or losing momentum.
5. Sortino Ratio and Standard Deviation
- The Sortino Ratio measures risk-adjusted performance by comparing returns to downside volatility (only considering negative price changes).
- Standard Deviation is computed over the lookback period to assess the extent of price fluctuations, offering insights into market stability.
Usage
This indicator is suitable for various time frames and market instruments. Traders can enable or disable specific visual elements such as gradient fills, bar coloring, and signal markers based on their preference. For a minimalist approach, one might choose to display only the primary trend line. For a deeper analysis, enabling multiple tables can provide extensive data on momentum, volatility, trend dynamics, and risk metrics.
Important Note on Risk
Trading involves inherent risk, and no indicator can eliminate the uncertainty of the markets. Past performance is not indicative of future results. It is essential to use proper risk management, test any new tool thoroughly, and consult multiple sources or professional advice before making trading decisions.
Conclusion
Uptrick: Alpha Trend unifies a diverse set of calculations, adaptive smoothing techniques, and customizable visual elements into one powerful tool. By combining the Hull, Exponential, and Weighted Moving Averages, the indicator is able to provide a trend line that is both responsive and smooth, depending on the trading mode. Its advanced color schemes, gradient fills, and detailed data tables deliver a comprehensive analysis of market trends, momentum, and risk. Whether you are a short-term trader or a long-term investor, this indicator aims to clarify price action and assist you in making more informed trading decisions.
Financial Statement Indicator by zdmreKnowing how to work with the datas in a company's financial statements is an essential skill for stock investors. The meaningful interpretation and analysis of balance sheets, income statements, and cash flow statements to discern a company's investment qualities is the basis for smart investment choices.
You can access to the financials tables of the companies as a summary with this indicator.
3 Tables;
Income Statement Table:
Revenue
Net Profit
EPS
EPS-D
P/E
Balance Sheet Table:
Current Asset
Total Asset
Total Equity
Book Value per Share
Total Debt
Debt/Equity
Statistics & Cash Flow Table:
Return On Equity
Return On Asset
Return On Invested Capital
Quick Ratio
Free Cash Flow
Staccked SMA - Regime Switching & Persistance StatisticsThis indicator is designed to identify the prevailing market regime by analyzing the behavior of a "stack" of Simple Moving Averages (SMAs). It helps you understand whether the market is currently trending, mean-reverting, or moving randomly.
Core Concept: SMA Correlation
At its heart, the indicator examines the relationship between a set of nine SMAs with different lengths (3, 5, 8, 13, 21, 34, 55, 89, 144) and the lengths themselves.
In a strong trending market (either up or down), the SMAs will be neatly "stacked" in order of their length. The shortest SMA will be furthest from the longest SMA, creating a strong, almost linear visual pattern. When we measure the statistical correlation between the SMA values and their corresponding lengths, we get a value close to +1 (perfect uptrend stack) or -1 (perfect downtrend stack). The absolute value of this correlation will be very high (close to 1).
In a mean-reverting or sideways market, the SMAs will be tangled and crisscrossing each other. There is no clear order, and the relationship between an SMA's length and its price value is weak. The correlation will be close to 0.
This indicator calculates this Pearson correlation on every bar, giving a continuous measure of how ordered or "trendy" the SMAs are. An absolute correlation above 0.8 is considered strongly trending, while a value between 0.4 and 0.8 suggests a mean-reverting character. Below 0.4, the market is likely random or choppy.
Regime Classification and Statistics
The indicator doesn't just look at the current correlation; it analyzes its behavior over a user-defined lookback window (default is 252 bars) to classify the overall market "regime."
It presents its findings in a clear table:
📊 |SMA Correlation| Regime Table: This main table provides a snapshot of the current market character.
Median: Shows the median absolute correlation over the lookback period, giving a central tendency of the market's behavior.
% > 0.80: The percentage of time the market was in a strong trend during the lookback period.
% < 0.80 & > 0.40: The percentage of time the market showed mean-reverting characteristics.
🧠 Regime: The final classification. It's labeled "📈 Trend-Dominant" if the median correlation is high and it has spent a significant portion of the time trending. It's labeled "🔄 Mean-Reverting" if the median is in the middle range and it has spent significant time in that state. Otherwise, it's considered "⚖️ Random/ Choppy".
📐 Regime Significance: This tells you how statistically confident you can be in the current regime classification, using a Z-score to compare its occurrence against random chance. ⭐⭐⭐ indicates high confidence (99%), while "❌ Not Significant" means the pattern could be random.
Regime Transition Probabilities
Optionally, a second table can be displayed that shows the historical probability of the market transitioning from one regime to another over different time horizons (t+5, t+10, t+15, and t+20 bars).
📈 → 🔄 → ⚖️ Transition Table: This table answers questions like, "If the market is trending now (From: 📈), what is the probability it will be mean-reverting (→ 🔄) in 10 bars?"
This provides powerful insights into the market's cyclical nature, helping you anticipate future behavior based on past patterns. For example, you might find that after a period of strong trending, a transition to a choppy state is more likely than a direct switch to a mean-reverting
Indicator Settings
Lookback Window for Regime Classification: This sets the number of recent bars (default is 252) the script analyzes to determine the current market regime (Trending, Mean-Reverting, or Random). A larger number provides a more stable, long-term view, while a smaller number makes the classification more sensitive to recent price action.
Show Regime Transition Table: A simple toggle (on/off) to show or hide the table that displays the probabilities of the market switching from one regime to another.
Lookback Offset for Starting Regime: This determines the "starting point" in the past for calculating regime transitions. The default is 20 bars ago. The script looks at the regime at this point and then checks what it became at later points.
Step 1, 2, 3, 4 Offset (bars): These define the future time intervals (5, 10, 15, and 20 bars by default) for the transition probability table. For example, the script checks the regime at the "Lookback Offset" and then sees what it transitioned to 5, 10, 15, and 20 bars later.
Significance Filter Settings
Use Regime Significance Filter: When enabled, this filter ensures that the regime transition statistics only count transitions that were "statistically significant." This helps to filter out noise and focus on more reliable patterns.
Min Stars Required (1=90%, 2=95%, 3=99%): This sets the minimum confidence level required for a regime to be included in the transition statistics when the significance filter is on.
1 ⭐: Requires at least 90% confidence.
2 ⭐⭐: Requires at least 95% confidence (default).
3 ⭐⭐⭐: Requires at least 99% confidence.
LotSize CalculatorLotSize Calculator Documentation
Overview
The LotSize Calculator is a powerful TradingView indicator designed to help traders calculate optimal position sizes based on risk management principles. It provides a visual representation of trade setups, including entry points, stop losses, and take profits, while calculating the appropriate lot size based on your risk preferences.
Key Features
Automatic lot size calculation based on risk amount
Support for multiple asset classes (forex, commodities, indices, etc.)
Visual R-multiple levels (1R to 5R)
Real-time position tracking with drawdown and run-up statistics
Customizable visual elements and display options
Input Parameters
Risk Management Settings
Risk Amount Type: Choose between risking a fixed amount in dollars ($) or a specific lot size.
Risk Amount: The amount you want to risk on the trade (in dollars if Risk Amount Type is set to $, or in lots if set to Lots).
Overwrite TP: Optional setting to automatically set take profit at a specific R-multiple (1R, 2R, 3R, 4R, or 5R).
Table Comments: Optional field to add personal notes to the position table.
Trade Setup Levels
Trigger Price: The price at which your trade will be entered.
Stop Loss: Your predetermined exit price to limit losses.
Take Profit: Your target price to secure profits.
Time Of Setup Start Bar: The starting time for your trade setup window.
Display Settings
Plot Position Labels: Toggle to show/hide position information labels on the chart.
Plot Position Table: Toggle to show/hide the position information table.
Show Money: Toggle to display monetary values ($) in the labels and table.
Show Points: Toggle to display point values in the labels and table.
Show Ticks: Toggle to display tick values in the labels and table.
Visual Appearance
Entry Color: Color for entry level line and labels.
Take Profit Color: Color for take profit level line and labels.
Stop Loss Color: Color for stop loss level line and labels.
Label Text Color: Color for text in the position labels.
Table Background: Background color for the position information table.
Table Text: Text color for the position information table.
R Labels: Color for the R-multiple level labels.
Table Position: Position of the information table on the chart (options: Bottom Right, Bottom Left, Bottom Middle, Top Right, Top Middle).
How to Use
Basic Setup
Set your entry price in the "Trigger Price" field.
Set your stop loss level in the "Stop Loss" field.
Set your take profit level in the "Take Profit" field.
Choose your risk amount type ($ or Lots) and enter the risk amount.
Optionally, select an R-multiple for automatic take profit calculation.
Understanding the Display
The indicator will show:
Horizontal lines for entry, stop loss, and take profit levels
Colored zones between entry and take profit (potential profit zone) and between entry and stop loss (potential loss zone)
R-multiple levels based on your risk (1R, 2R, 3R, 4R, 5R)
A table displaying:
Position type (long/short) and size
Original risk and reward figures
Maximum run-up and drawdown during the trade
Trade Monitoring
Once a trade is triggered (either by price crossing a stop entry or reaching a limit entry), the indicator tracks:
Current position value
Maximum run-up (highest profit seen)
Maximum drawdown (largest loss seen)
Trade outcome when take profit or stop loss is hit
Advanced Features
Asset Type Detection
The LotSize Calculator automatically detects the type of asset being traded (forex, commodity, index, etc.) and adjusts calculations accordingly to ensure accurate position sizing.
R-Multiple Visualization
R-multiples help visualize potential reward relative to risk. For example, 2R means the potential reward is twice the amount risked. The indicator displays these levels directly on your chart for easy reference.
Adaptive Position Labels
Position labels adjust their display based on trade direction (long or short) and include relevant information about risk, reward, and current position status.
Best Practices
Always confirm your risk is appropriate for your account size (typically 1-2% of account per trade).
Use the R-multiple visualization to ensure your trades offer favorable risk-to-reward ratios.
The indicator works best when used alongside your existing strategy for entry and exit signals.
Customize the visual appearance to match your chart theme for better visibility.
Troubleshooting
If position calculations seem incorrect, verify that the indicator is detecting the correct instrument type.
For forex pairs, ensure your broker's lot size conventions match those used by the indicator.
The indicator may need adjustment for certain exotic instruments or markets with unusual tick sizes.
RunRox - Harmonic Patterns📐 RunRox - Harmonic Pattern indicator , we are pleased to present our new, built upon sophisticated logic for identifying and plotting harmonic formations directly on your charts. Significant effort and research have been invested into the development of this indicator, and now it is ready to be included in our premium indicator package.
In this post, we will provide a comprehensive overview of our indicator, describing all its key features, capabilities, and possible use cases. We strongly recommend reading the entire post thoroughly to fully understand the logic and operation behind our new Harmonic Pattern indicator.
📜 A BRIEF HISTORY
Harmonic patterns are specialized chart formations based on Fibonacci ratios, used by traders to identify potential reversal points in financial markets. Originally introduced by H.M. Gartley in the 1930s and later refined by Scott Carney, harmonic patterns became widely recognized for their effectiveness in forecasting precise turning points and market reversals. Over the years, these patterns have become an essential tool for traders employing technical analysis.
📌 INDICATOR FEATURES
Identification of 3 pattern sets:
✅ 5 Classic Chart Patterns:
Head and Shoulders, Triangle, Wedge, Flag, Double Top/Bottom
✅ 11 Harmonic Patterns:
Bat, Alternate Bat, Butterfly, Crab, Deep Crab, Gartley, Shark, Cypher, 5-0 Pattern, AB=CD, 3-Drive
✅ 10 Non-standard Harmonic Patterns:
Nen Star, White Swan, Black Swan, Anti-Bat, Anti-Butterfly, Anti-Crab, Anti-Gartley, Anti-Shark, Anti-Cypher, Anti-Nen Star
Additional features:
Built-in backtesting system
Pattern win-rate calculation
Flexible Stop Loss settings
Flexible Take Profit settings
Customizable pattern detection parameters
Advanced trailing stop functionality
Flexible notification system
And much more.
Below is a screenshot visually illustrating all the classic chart patterns that our indicator identifies on the chart.
This is how the 11 harmonic patterns visually appear on the chart.
10 Non-standard harmonic patterns visually represented on the chart.
🔸 XABCD are standard letters representing specific points used in forming harmonic patterns. The sequence always begins with the point X as the initial reference point, followed by points ABCD, which together complete the harmonic pattern.
These points are identified using a specialized method, scanning through thousands of potential points on the chart simultaneously. The indicator analyzes numerous potential formations, selecting and displaying only those patterns that meet specific validation criteria. This meticulous process ensures that only valid and accurate patterns appear on your chart, as illustrated in the screenshot below.
🔸 Ratio: Between the points XABCD, you’ll notice the “Ratio,” indicating the proportional relationships required between these points to correctly form harmonic patterns. The indicator displays a pattern on the chart only when these ratio conditions are precisely met, thereby maximizing accuracy and ensuring the validity of identified patterns. This aspect is clearly demonstrated in the screenshot below.
🔸 TP and SL levels: For each identified pattern, we also display recommended Take Profit (TP) and Stop Loss (SL) levels directly on the chart. Additionally, we provide a suggested entry price (Entry Level). It is important to note that entering a trade requires the price to retrace into the specified Entry Level zone. Therefore, you must wait until the price returns to this zone for the pattern to be considered fully formed and ready for entry.
Using the Butterfly pattern as an example, we’ve illustrated all the key components of a pattern. Our indicator offers extensive customization, allowing you to finely adjust everything from the acceptable Ratio ranges to Stop Loss and Take Profit levels, among many other parameters. Below, we’ll discuss the indicator’s capabilities and its customizable settings in detail.
📶 ACTIVE PATTERNS PANEL
In the screenshot above, you can see the panel displaying all active patterns currently formed on the chart, including the pattern direction, entry price, two take profit levels, and the stop loss level. This provides a quick and clear overview of the available patterns on your chart, significantly speeding up your trading process.
Additionally, you can fully customize this panel, adjusting its position, size, or even completely removing it if you prefer.
📊 PATTERN STATISTICS
The Pattern Statistics Panel displays historical performance results for all patterns. The indicator automatically performs backtesting for each pattern based on historical data, taking into account all user-defined settings. Results are conveniently presented in this panel.
This feature is highly practical as it allows you to quickly evaluate the effectiveness of each pattern directly on your chart. As a result, you can easily identify which patterns are performing best and which patterns might be less effective and therefore unsuitable for trading on the current instrument.
Furthermore, the panel organizes patterns into specific categories Classical, Harmonic, and Anti-Harmonic and separates results by trade direction (Long or Short). This helps you quickly determine the optimal trading direction for each pattern category.
⚙️ INDICATOR SETTINGS
Now, it’s time to discuss the indicator settings in detail and describe all the available options and features that you can customize according to your preferences.
🔶 Detection Settings
In the screenshot above, you see the first settings block with the following options:
FastMode – When activated, only patterns are displayed on the chart, without the results table. This significantly speeds up the pattern rendering process and makes the script run faster.
Error % – Allows you to specify a permissible deviation from the ideal XABCD parameters. By increasing this percentage, the indicator will detect more patterns, but they will deviate from the ideal ratio proportions by the percentage you’ve set.
Search Priority – Choose between “Large First” or “Small First” pattern prioritization. With “Large First,” the indicator prioritizes detecting larger patterns first; smaller patterns are only displayed if no suitable large patterns are available, and vice versa.
ZigZag Period – Determines the period for the ZigZag structure used as a foundation for pattern detection. It’s an essential parameter that directly affects the number and quality of detected patterns.
Pattern Size – Specify the desired size of patterns in terms of the number of bars on the chart.
Remove patterns older than, bars – Allows you to remove old patterns from the chart and prevent their display if they formed more than a set number of bars ago (default is 200 bars).
🔶 Entry / Target / StopLoss Settings
In the screenshot above, you can see the settings related to configuring your preferred entry points, target levels, and stop-loss strategies. Below is a detailed explanation of each option:
Trade Direction – Both / Long / Short - Choose the direction in which you want to trade. Selecting “Both” will search for patterns in both directions, while “Long” or “Short” will filter the patterns to show only those that align with the selected direction.
Entry % - This sets the entry level as a percentage of the pattern’s total size. It determines how far from the pattern’s starting point the entry will be placed.
Target 1 - Also defined as a percentage of the pattern size. This represents the distance from the entry point to the first take profit level.
Target 2 - Optionally, you can enable a second take profit level and set the percentage distance for it.
Stop-Loss Type - Choose from six different stop-loss types: Invalidation Price, Last Pivot, %, % of pattern size, Pips, or Risk/Reward ratio. Each provides flexibility depending on your trading style.
Stop-Loss SL Value - This is the specific value related to the chosen stop-loss type. For example, if you choose the “%” type, this setting will define the percentage used to place the Stop Loss level.
Using the Shark pattern as an example, let’s demonstrate how the entry, target, and stop-loss levels function. Based on the overall size of the pattern, you can input the desired percentage values for your trade entry, target, and stop-loss levels, and the indicator will automatically calculate their exact placement relative to the pattern’s structure.
You can also choose alternative stop-loss methods, such as Risk/Reward, in which case the stop-loss will be dynamically calculated based on the risk-to-reward ratio you define.
It’s also important to note that for harmonic patterns, the height of the pattern is calculated based on the segment from point C to point D. However, for the Black Swan pattern, the measurement is taken from point A to point D. This distinction should be kept in mind when configuring your stop-loss levels.
Additionally, classic patterns each have their own unique method for calculating pattern height, depending on the specific structure.
🔶 Trailing Stop Settings
These settings are designed to help improve your strategy’s results, especially if you use break-even stop-loss adjustments after reaching specific targets, which can help increase your win rate.
Move SL to Break-even after reaching Target 1 - Enabling this option will automatically move the stop-loss to the entry level (break-even) once the price hits the first target (Target 1).
Trailing Stop Type - Choose from three trailing stop types: Percentage (%), % of pattern size, Pips
Trailing Stop Value - Enter the desired value for the chosen trailing stop type. For example, if you selected %, the number entered will be treated as a percentage. If you chose Pips, it will be the number of pips for the trailing stop.
Enable Trailing Stop at reaching - This setting defines when the trailing stop should be activated. You can choose from four options: Target 1, %, % of pattern size, Pips
Trailing After Value - This works in combination with the previous setting. If you choose one of the three non-Target options, this field lets you enter the specific value that will trigger the trailing stop.
🔶 Display Settings
In the screenshot above, you can see the Display Settings section, which allows you to fully customize the visual appearance of patterns on your chart according to your preferences.
You can choose to show or hide pattern labels (XABCD), ratio values, entry/TP/SL levels, and pattern fill for better visual clarity.
Additionally, you can set the maximum number of active patterns displayed on the chart, as well as view the historical formations of any specific pattern to analyze how it appeared in past price action.
🔶 Dashboard | Pattern Table
In the screenshot above, you can see the settings for two tables: one displaying the results of each pattern , and the other showing active patterns currently on the chart. Both tables offer flexible customization options, allowing you to adjust their color schemes, sizes, and on-screen positions to best fit your workflow.
🔶 Patterns Setting
For each individual pattern, you can customize its appearance by selecting your preferred color , adjusting its transparency , or even hiding it entirely from the chart if you don’t wish to display it.
🔶 Notifications
You can easily configure notifications for various events, such as the appearance of a new pattern or when the price reaches the entry level of a trade.
Additionally, a dedicated panel allows you to use macros for advanced customization of your alerts, so you can tailor the notifications exactly to your needs and trading style.
List of Supported Placeholders:
{{event}} - Event name ('New Pattern', 'Target 1', etc.)
{{pattern}} - Pattern name ('Bat', 'Crab', etc.)
{{event_price}} - Event Price (entry price for entry event, sl price for sl event, etc.)
{{sl}} - Stop-loss price
{{entry}} - Entry Price
{{target1}}, {{target2}} - Target Prices
{{invalidation}} - Invalidation Price
{{exchange}} - Exchange ('Binance')
{{ticker}} - Ticker ('BTCUSD')
{{interval}} - Timeframe ('1s', '1', 'D')
{{open}}-{{close}}-{{high}}-{{low}} - Candle price values
{{volume}} - Candle volume
{{time}} - Candle open time in UTC timezone
{{timenow}} - Signal time in UTC timezone
{{syminfo.currency}} - 'USD' for BTCUSD pair
{{syminfo.basecurrency}} - 'BTC' for BTCUSD pair
✅ USAGE METHODS
The indicator and its patterns can be used as a standalone trading strategy, providing clear entry points, stop-loss levels, and take-profit targets - without the need for any additional tools or indicators.
However, for optimal results, we recommend integrating the indicator with your existing trading strategy. Using it as a confluence tool - alongside other technical indicators or as a complement to your fundamental analysis - can significantly enhance your decision-making and improve overall performance!
🟠 Disclaimer
Past performance is not indicative of future results. To trade successfully, it is crucial to have a thorough understanding of the market context and the specific situation at hand. Always conduct your own research and analysis before making any trading decisions.
Gabriel's Asset Rotation System📈 Gabriel's Asset Rotation System
Overview
Gabriel’s Asset Rotation System is an advanced multi-asset trend-following tool that dynamically ranks and rotates up to 6 assets (plus USD) based on a customizable trend scoring matrix. Using enhanced signal detection techniques like Cauchy-weighted Supertrend, Jurík RSX, Fisherized CCI, Kalman-filtered PSAR, and Dynamic DMI Smoothing, the system identifies the most dominant asset and simulates strategy equity performance compared to buy-and-hold benchmarks.
🔍 Key Features
✅ Multi-Asset Rotation: Analyze up to 6 symbols and USD simultaneously.
✅ Relative Strength Matrix: Compares every asset against each other to find outperformers.
✅ Custom Trend Engine:
Jurik RSX with advanced RSX logic
Fisherized CCI for momentum confirmation
Kalman-smoothed PSAR for trend bias
SuperTrend using a Cauchy Moving Average
Smoothed DMI signal across looped periods (10–17)
✅ Dynamic Best Asset Detection: Identifies and tracks the asset with the highest trend score over time.
✅ Performance Table: Displays Sharpe, Sortino, and Omega Ratios along with drawdowns and means for both strategy and each asset.
✅ Visual Trend Matrix: Tabular view of asset strength comparisons against each other + final scoring.
✅ Realistic Strategy Equity Curve: Tracks performance assuming full capital rotation into the best asset.
✅ Alerts: Get notified when the top-performing asset changes.
⚙️ Inputs
🔹 Assets: Customize 6 tickers (crypto, stocks, ETFs, etc.)
🔹 Trend Classification Method:
RSI
CCI
SuperTrend
DMI
PSAR
or use all together
🔹 Jurik RSX Length
🔹 Fisherized CCI Length
🔹 Cauchy MA Gamma and ATR Settings
🔹 DMI Range and MA Type (SMA, EMA, HMA, etc.)
🔹 PSAR Parameters with Kalman smoothing
🔹 Custom Backtest Start Date
📊 Outputs
Plot 1: Best Asset Equity (colored dynamically)
Plot 2–7: Buy & Hold Curves for each asset (with labels)
Tables:
Rotation Matrix (bottom-right)
Best Performing Asset (bottom-center)
Performance Metrics Table (optional toggle)
🧠 Use Case Ideas
🔁 Dynamic Portfolio Rebalancing
⚖️ Compare Risk-Adjusted Returns Across Crypto or Stocks
🧪 Backtest Rotation Hypotheses
🚀 Identify Strongest Breakout Assets in Trend Environments
📉 Avoid Weakening Assets with Rising Drawdowns
🚨 Alerts
🔔 "New Optimal Asset": Triggers when a new top-ranking asset replaces the current one.
Combined EMA/Smiley & DEM System## 🔷 General Overview
This script creates an advanced technical analysis system for TradingView, combining multiple Exponential Moving Averages (EMAs), Simple Moving Averages (SMAs), dynamic Fibonacci levels, and ATR (Average True Range) analysis. It presents the results clearly through interactive, real-time tables directly on the chart.
---
## 🔹 Indicator Structure
The script consists of two main parts:
### **1. EMA & SMA Combined System with Fibonacci**
- **Purpose:**
Provides visual insights by comparing multiple EMA/SMA periods and identifying significant dynamic price levels using Fibonacci ratios around a calculated "Golden" line.
- **Components:**
- **Moving Averages (MAs)**:
- 20 EMAs (periods from 20 to 400)
- 20 SMAs (also from 20 to 400)
- **Golden Line:**
Calculated as the average of all EMAs and SMAs.
- **Dynamic Fibonacci Levels:**
Key ratios around the Golden line (0.5, 0.618, 0.786, 1.0, 1.272, 1.414, 1.618, 2.0) dynamically adjust based on market conditions.
- **Fibonacci Labels:**
Labels are shown next to Fibonacci lines, indicating their numeric value clearly on the chart.
- **Table (Top Right Corner):**
- Displays:
- **Input:** EMA/SMA periods sorted by their current average price levels.
- **AVG:** The average of corresponding EMA & SMA pairs.
- **EMA & SMA Values:** Individual EMA/SMA values clearly marked.
- **Dynamic Highlighting:** Highlights the row whose average (EMA+SMA)/2 is closest to the current price, helping identify immediate price action significance.
- **Sorting Logic:**
Each EMA/SMA pair is dynamically sorted based on their average values. Color coding (red/green) is used:
- **Green:** EMA/SMA pairs with shorter periods when their average is lower.
- **Red:** EMA/SMA pairs with longer periods when their average is lower.
- **Star (⭐):** Represents the "Golden" average clearly.
---
### **2. DEM System (Dynamic EMA/ATR Metrics)**
- **Purpose:**
Provides detailed ATR statistics to assess market volatility clearly and quickly.
- **Components:**
- **Moving Averages:**
- SMA lines: 25, 50, 100, 200.
- **Bollinger Bands:**
- Based on 20-period SMA of highs and standard deviation of lows.
- **ATR Analysis:**
- ATR calculations for multiple periods (1-day, 10, 20, 30, 40, 50).
- **ATR Premium:** Average ATR of all calculated periods, providing an overarching volatility indicator.
- **ATR Table (Bottom Right Corner):**
- Displays clearly structured ATR values and percentages relative to the current close price:
- Columns: **ATR Period**, **Value**, and **% of Close**.
- Rows: Each specific ATR (1D, 10, 20, 30, 40, 50), plus ATR premium.
- The ATR premium is highlighted in yellow to signify its importance clearly.
---
## 🔹 Key Features and Logic Explained
- **Dynamic EMA/SMA Sorting:**
The script computes the average of each EMA/SMA pair and sorts them dynamically on each bar, highlighting their relative importance visually. This allows traders to easily interpret the strength of current support/resistance levels based on moving averages.
- **Closest EMA/SMA Pair to Current Price:**
Calculates the absolute difference between the current price and all EMA/SMA averages, highlighting the closest one for quick reference.
- **Fibonacci Ratios:**
- Dynamically calculated Fibonacci levels based on the "Golden" EMA/SMA average give clear visual guidance for potential targets, supports, and resistances.
- Labels are continuously updated and placed next to levels for clarity.
- **ATR Volatility Analysis:**
- Provides immediate insight into market volatility with absolute and relative (percentage-based) ATR values.
- ATR premium summarizes volatility across multiple timeframes clearly.
---
## 🔹 Practical Use Case:
- Traders can quickly identify support/resistance and critical price zones through EMA/SMA and Fibonacci combinations.
- Useful in assessing immediate volatility, guiding stop-loss and take-profit levels through detailed ATR metrics.
- The dynamic highlighting in tables provides intuitive, real-time decision support for active traders.
---
## 🔹 How to Use this Script:
1. **Adjust EMA & SMA Lengths** from indicator settings if different periods are preferred.
2. **Monitor dynamic Fibonacci levels** around the "Golden" average to identify possible reversal or continuation points.
3. **Check EMA/SMA table:** Rows highlighted indicate immediate significance concerning current market price.
4. **ATR table:** Use volatility metrics for better risk management.
---
## 🔷 Conclusion
This advanced Pine Script indicator efficiently combines multiple EMAs, SMAs, dynamic Fibonacci retracement levels, and volatility analysis using ATR into a comprehensive real-time analytical tool, enhancing traders' decision-making capabilities by providing clear and actionable insights directly on the TradingView chart.
Percentage price changeThis indicator marks bars whose values increase or decrease by an amount greater than or equal to the value of the specified parameter as a percentage. Bars that meet the condition are marked with labels, boxes and colors. In addition to the standard method of calculating the percentage change at the closing price of the current and previous bars, the indicator allows you to choose non-standard calculation methods (at the prices of opening and closing the current bar, as well as at the prices of the maximum at the minimum of the current bar). You can choose to display the percentage changes of individual bars as well as a series of bars. You can select the number of bars in a series of bars. You can also apply filters by the direction of the bars in the series or by the percentage of individual bars in the series.
It is important to remember that in version 5 of Pine Script™, the maximum possible number of labels and the maximum possible number of boxes cannot exceed 500!
There are several main parameters that can be changed in section PARAMETERS FOR CALCULATION:
1. 'Bars count' - The number of bars for which the percentage rise or fall is calculated.
2. ‘Percentage change’ - sets the price change as a percentage. Bars with a price range above or equal to the specified value will be marked on the chart.
3. ‘First and second points of calculation’ - the first and second points for calculating the percentage change. Here you can set several different values for the calculation:
- 'Cl.pr., Close' - Closing price of the previous bar and closing price of the current bar (or a series of bars) (these values are used for the standard calculation of the percentage change on the chart).
- 'Open, Close' - Opening and closing prices of the current bar (or a series of bars).
- 'High|Low' - Highest and lowest price of the current bar (or a series of bars).
- 'Cl.pr.|High|Low' - Highest or lowest price of the current bar (or a series of bars) (depending on whether the bar is going up or down) or closing price of the previous bar for first point (one of these values is automatically selected, which gives a larger result, depending on whether there is a gap between these values). Highest or lowest price of the current bar for second point.
In the LIMITS section, you can set the following parameters.
1. ‘Only for the last bar’ - If this option is selected, the indicator will be applied only for the last bar (or series of bars).
2. 'Only bars in one direction' - A condition that takes into account sequences from the selected number of bars going in only one direction. If at least one bar has a different direction from the other bars, then such a sequence will not be taken into account. This only works if the 'Bars count' is > 1.
3. "Cut off higher values" - This field cuts off higher values. Bars with a price range above or equal to the specified value will not be marked on the chart. This can be used in some cases to make the chart less loaded with data and more visual. Of course, you can also use this option however you want.
4. ‘Min percent in series of bars’ - If the value 'Number of bars' is > 1, then a series of bars is taken into account, in which the percentage change of individual bars is greater than or equal to the set value.
In the DATE RANGE section, you can set the limits of the time and date range in which the calculation will be performed. In some cases, this can be used in order not to exceed the limit on the number of labels or boxes, which cannot exceed 500. Of course, you can also use this option however you want. By default, the date range is unlimited.
'Timezone offset, hours' - It is used only for the correct display of the limits of the date range in the parameter table.
In the PRICE INCREASE LABELS and PRICE REDUCTION LABELS section, you can define the design of labels bars and boxes, such as colors, shapes, sizes, and location. You can set the colors of the bars separately on the Style tab. On the Style tab, you can also turn on/off the display of frames, labels and color markings of bars.
The PARAMETER TABLE section is designed to adjust the display of the table for a more visual display of the selected values of all parameters on the Arguments tab. Depending on which values have been set and which parameters have been enabled or disabled, the table will change its appearance, display or hide some rows. A single line 'Total found' will be displayed all the time. It shows the count of bars that meet the condition and count of labels or boxes used in the diagram. Since the bars are labeled with labels or boxes, their number cannot exceed 500 for Pine script version 5.
1. 'Pos.' - sets the main position of the table on the screen.
2. 'X off.', 'Y off.' - You can set the offset of the table along the X and Y axes. This option can be useful to avoid overlapping multiple tables if you want to use two or more instances of this indicator on your chart. The minimum value is -30, the maximum is 30. Positive values shift the table to the right on the X axis and up on the Y axis. Negative values shift the table to the left on the X axis and down on the Y axis.
3. 'Font color' - The font color in the table.
'Warn. font color', 'Warn. backgr. color' - The font and background colors in the 'Total found' row in the table. If the number of labels or boxes exceeds 500, the font and background will be colored in these colors.
4. ‘Font size’ – Sets the font size in the table.
5. 'Show hours and minutes in date/time range' - changes the date and time format of time range from {yyyy.MM.dd HH:mm} to {yyyy.MM.dd}.
6. 'View all params' - used to display all parameters, even those duplicated in the main line of the indicator.
7. ‘Title’ – If desired, you can make a header for the table.
The last row of the table shows the number of bars found that meet the conditions. Since these bars are marked with labels (in the case of one bar) or boxes (in the case of series of bars), the limit that can be marked on the chart is 500. Exceeding this value will be displayed in the table and additionally highlighted in red font. This will signal that not all bars found are displayed on the chart.
On the Style tab, you can turn the table display on/off.
[SGM Auto Regressiv - significant lags only]This Pine Script™ is designed for traders seeking advanced statistical analysis based on autoregressive (AR) models, with automatic filtering of significant lags according to a customizable confidence threshold.
Key Features:
AR(p) Model with Significance Filtering:
Only statistically significant lags (based on the selected confidence level) are included in the model calculations.
Coefficient Weighting Options:
Uniform weighting.
Weighting based on the t-statistic.
Visualization of Key Indicators:
Dynamic plotting of autoregressive values, upper and lower bounds (based on standard deviation).
Buy ("Buy") and Sell ("Sell") signals when values exceed the defined bounds.
Robust Analysis:
Calculation of statistical parameters: T-stat, p-value, skewness, kurtosis, r², and the Jarque-Bera test to assess the robustness and normality of residuals.
Summary of results displayed in a visual table for simplified interpretation.
Interactive Tables:
Display of lags, coefficients, t-statistics, p-values, and their significance via a dynamic table.
Overall robustness indicator and interpretation of results ("Good," "Non-significant," etc.).
Easy Customization:
Adjustable confidence level (90% to 99%).
Configurable lengths for moving average and standard deviation to fine-tune signal thresholds.
Benefits for Traders:
Effortless Analysis:
Automatically identifies significant relationships between past and present values, removing unnecessary assumptions.
Enhanced Accuracy:
Filters signals based on rigorous statistical criteria to avoid false signals.
Clear Visualization:
Interactive tables and plots to quickly understand critical parameters.
Default Configuration:
Confidence level: 95%.
Lag weighting: Uniform.
Moving average length: 20 periods.
Standard deviation length: 15 periods.
Usage Recommendations:
Ideal for analyzing volatile assets or identifying potential reversal zones.
Use alongside other indicators to confirm signals.
Saral Relative Strength ComparisonRelative Strength Comparison
### Overview
The Relative Strength (RS) Indicator is a robust tool designed to measure the performance of sectors or stocks relative to a benchmark index. This indicator provides a comprehensive way to compare the relative strength of different sectors or stocks, with the default selection being the major sectors of the National Stock Exchange (NSE). It allows traders to analyze which sectors or stocks are outperforming or underperforming the benchmark over a specific period.
The RS compares how much a security's price has changed over a given period relative to the change in price of a benchmark over the same period. The result is expressed as a percentage, showing whether the security has outperformed or underperformed the benchmark. Positive RS values indicate outperformance, while negative values signal underperformance.
This indicator provides a dual representation of the data. RS values are displayed in both line charts and a table. The line charts provide a visual representation of trends, while the table offers a clear numerical comparison of the current, previous, and earlier RS values along with the rank of the sector/stock.
### Key Features
Benchmark & Sectors/Stocks Comparison:
Users can select a benchmark index (default: NIFTY 50) and up to 20 sectors or stocks for comparison. By default, the indicator includes the major sectors of NSE, but users can customize the selection as needed.
Customizable RS Calculation:
Users can set the period for RS calculation, with a default of 22 periods, providing flexibility to match different trading strategies.
Flexible Time Frame:
RS calculations are based on the time frame of the main chart, allowing users to seamlessly switch between different periods, from minutes to hours, days, weeks, or even months depending on their analysis needs.
Customizable Line Chart:
Users can adjust the width and color of the RS lines for each sector, making it easier to distinguish between different sectors on the chart.
Dynamic Table Display:
The indicator includes a toggle to display a table of RS values, with customizable position, toggle for background color coding, and selection for text color & size. This makes it easy to compare the RS values across multiple sectors at a glance.
Sorting Options:
The table can be sorted either by alphabetical order of sector/stock names or by their rank. The default sorting is by rank, but switching to alphabetical order helps to identify data of specific sector with ease.
Ranking System:
The table includes a column displaying the rank of each sector or stock based on their RS, with the top-performing items listed first by default. This helps users quickly identify market leaders and laggards.
Color-Coded Backgrounds:
The background color of the sector/stock names in the table corresponds to the colors of their RS lines on the chart, making it easy to correlate table data with the visual plots. Also, the table uses a color-coding system which shows ranks of RS Positive sectors with Green background and RS Negative sectors with Red background. Similarly, the maximum RS value of individual sector is highlighted in Navy Blue, the minimum in Aqua and other in Blue background. This visual aid helps users quickly identify the performance trend of individual sector.
Table Positioning:
The table can be positioned at different locations on the chart (Top Right, Middle Right, Bottom Right, Top Left, Middle Left, Bottom Left), ensuring it doesn't obstruct important chart data.
### Input - RS Parameters:
Benchmark: Ticker ID of the comparative security. The default benchmark is the NIFTY 50 index, but users can select any other ticker as the benchmark for comparison.
Period-RS: The period for calculating the RS line. The default period is 22, but users can adjust this to suit their trading strategy and to analyze different time horizons for sector performance.
Line Width: Determines the thickness of the RS line in the chart. The default width is 2, providing a clear visual distinction between different sectors.
### Input - Table Parameters:
Show Table: Toggle to display or hide the table, allowing users to switch between graphical and tabular data representations.
Table Sorting: Users can sort the table alphabetically or by RS rank. The default sorting is by rank.
Table Position: Allows users to select the position of the table on the chart. Options include Top Right, Middle Right, Bottom Right, Top Left, Middle Left, and Bottom Left. The default position is Middle Right.
Color Code for Background: The background of the sector/stock names corresponds to their plot colors for easy mapping between plot and table values. Rank of RS Positive sectors will be highlighted with Green background and RS Negative sectors will be highlighted with Red color. The background color of the RS values in the table will change based on their magnitude. The highest RS value is Navy Blue, the lowest is Aqua, and other is Blue. This visual aid helps users quickly identify the performance of which sectors are improving or deteriorating.
Text Color: Users can select the color of the text displayed in the table. The default text color is White, ensuring readability against various background colors.
Text Size: Allows users to choose the size of the text in the table. Options include Auto, Tiny, Small, Medium, and Large, with the default being Small. This customization ensures that the table remains legible on different chart sizes.
### Input - Sectors/Stocks:
Sector/Stock Selection: Users can select which sectors to include as well as how many sectors to include in the analysis. The default sectors are major sectors of the National Stock Exchange, India. The selected sectors will be plotted as RS lines on the chart and will also appear in the table.
Color: Allows users to choose the color for each sector's RS line, making it easy to distinguish between them on the chart.
### Acknowledgement
This indicator is developed based on the concept discussed by Mr. Subhadip Nandy in Trader's Talk with Mr. Rohit Katwal.
DCT ATR CalculatorThis TradingView Pine Script indicator, named "DCT ATR Calculator" is designed to calculate and visualize key volatility metrics, specifically the Average True Range (ATR), and provide detailed True Range (TR) values for multiple recent daily candles. The script also includes features for comparing the current symbol's volatility with that of other predefined symbols and visualizing key price levels on the chart.
#### Key Features and Functionality:
1. **True Range (TR) Calculation:**
- The script computes the True Range (TR) for the current symbol based on the absolute difference between the current close price and the previous close price.
- It retrieves TR values for the past 10 daily candles using the `request.security` function to get daily data.
2. **True Range Thresholds:**
- Users can set a threshold for TR values to filter and compare volatility across different symbols.
- The script allows configuration for up to five different symbols, each with its own TR threshold, such as `DAX`, `NDQM`, `DJI`, `ETHUSDT`, and `BTCUSDT`.
3. **Threshold-Based TR Selection:**
- It assigns the TR values below the defined thresholds to variables representing the smallest to the fifth smallest TR values.
- These values are then summed to compute the Average True Range (ATR) for the current symbol.
4. **Visualizations:**
- **Daily High, Low, and Open Lines:**
- The script can draw lines on the chart to indicate the daily high, low, and open prices. Users can customize the color and width of these lines through input options.
- **ATR Lines:**
- ATR-based lines are plotted above and below the daily open price. These lines are dashed and their positions are determined based on the ATR value.
5. **Tables for Data Display:**
- **TR Table:**
- A table in the top-right corner of the chart displays the TR values for the past five daily candles and the computed ATR.
- **ATR Comparison Table:**
- A table in the bottom-right corner shows the current ATR value and compares it with the TR used, highlighting whether the current close price is above or below the daily open.
6. **Background Color Coding:**
- The chart background color changes based on the comparison between the current close price and the daily open price. It turns green if the close is above the daily open, red if below, and gray if equal.
#### How to Use:
- **Configuration:**
- Set the TR threshold for comparison with other symbols using the `trThresh` input.
- Define the symbols and their respective TR thresholds through the provided input fields.
- **Customization:**
- Adjust line colors and widths for daily high, low, and open prices, as well as ATR lines, using the input options.
- Toggle the visibility of daily high/low lines and ATR lines via the checkboxes.
- **Interpretation:**
- Use the tables and visual lines to assess volatility and price levels.
- Compare the ATR values to gauge market volatility relative to historical TR values for the selected symbols.
This script provides a comprehensive tool for analyzing and comparing market volatility across multiple symbols, assisting traders in making informed decisions based on historical volatility and current price behavior.
YinYang Fear and Greed Index (FGI)Overview:
YinYang Fear and Greed Index is used for seeing how people are feeling towards the current price. It works similar to an RSI, but fluctuates differently. Essentially you want to be Greedy when the Index displays Fear and Fearful when it displays Greed. Our Indicator displays a Green Circle (Greed Signal) on the YinYang Fear and Greed Index when there is a large amount of Greed at this price point. It displays a Red Circle (Fear Signal) when there is a large amount of Fear. The Fear and Greed Signals can happen at any Fear and Greed Index but generally they correlate with the Index level. The Fear and Greed Signals are much more important at dictating a swing in momentum than the actual Index itself. The Index is more of a guide and is useful for seeing when the Index level crosses the Ma (the yellow line) as you can see a shift in momentum. However for large swings in momentum, the Fear and Greed Signals should be used. Do NOT Ignore these signals, they are quite powerful at predicting momentum swings.
Tutorial:
As you can see, the Fear and Greed Index looks somewhat similar to an RSI, but it has the ability to gain drastic momentum when there are strong changes in Fear and Greed.
When it comes to identifying buy/sell locations you generally want to ensure 2 things:
For a buy, the Fear and Greed Index (FGI) is less than 30.
For a sell, the FGI is greater than 70.
A signal has occurred. For buy that is the red circle and for sell that is the green circle.
The reason we generally want to ensure these 2 rules is to ensure you have the highest chance of being right with the lowest risk of being wrong. The way you want to use this indicator is; Be Fearful when others are Greedy and Greedy when others are Fearful.
There will be times when a fear or greed signal appears when the index is between 30-70. When these occur, they are still generally strong signal locations that represent a high chance of momentum in the direction they signal, however they face a higher risk of being wrong and therefore shouldn’t be used on its own to make a trade.
In the photo above we can see that the FGI’s color changed from Red to Orange in the candle after the Fear Signal. This happened because there was high price movement right after it (which is normal) and caused the Fear level to drop.
The color the FGI displays is based not off the FGI but by the STATE it is currently in. When the color is Green it is in a state of HIGH GREED, when the color is Red it is in a state of HIGH FEAR. When the color is Teal it is in a state of SLIGHT GREED, when the color is Orange it is in a state of SLIGHT FEAR. These colors hold true for the Information Tables as well.
As we can also see from the example above, it is 100% possible to have a state of HIGH GREED when the FGI is low. For instance look at the Fear (BUY) signals circled. Right before the Fear Signals happened, it was in a state of HIGH GREED (Green). The opposite is also true with Fear. We can have a high state of Fear when the FGI is high. However, please do remember, the lowest risk and best time to make trades is still:
FGI is higher than 70 and there is a Greed Signal = SELL
FGI is lower than 30 and there is a Fear Signal = BUY
You may notice there are sometimes occurrences that we call ‘Oddballs’. These oddballs are quite rare but they do happen and when they do they’re generally in clusters (close together). These Oddballs are when a Greed Signal occurs when the FGI is very low or when a Fear Signal occurs when the FGI is very high. Basically, they are occurring in the opposite location that they are supposed to. These may not seem like they matter but they matter a lot. As you can see based on where the blue vertical lines are, the price moved in the direction the signal identified shortly after the signal.
You may be wondering, are Oddball’s stronger price influencers than the regular signal? The issue with Oddballs is they sometimes CAN BE. But generally they aren’t. They generally do signal price movement will occur in the direction they are influencing, but generally not as much movement as if it occurred properly (Fear signal under 30 or Greed signal above 70).
The takeaway from Oddballs is to acknowledge their existence and potentially use them as markers for smaller purchases or DCA locations. We don’t recommend treating them as a legitimate purchase signal as they generally are weaker and less predictable, but nevertheless don’t dismiss them.
Our Information Tables are there to show you the FGI on 6 different Time Frames at the same time. This can be very useful for knowing how the other Time Frames are fairing while you are trading without needing to constantly change the Time Frame you are on.
For example, you see a Fear Signal on the 1 Day Time Frame, you then swap to the 15 minute Time Frame to find your entry location. Well, once you’re locked into that trade, you’ll likely be fixated on the 15 minute Time Frame. There’s a chance while you’re still waiting for your exit that levels and states of the FGI could change on higher Time Frames. This could drastically influence when and where your exit on the lower Time Frame should be.
This concludes our Tutorial on how to use YinYang Fear and Greed Index (FGI). However, continue reading for a description and better understanding of the Settings available to you for customization within this Indicator.
Settings:
1. Information Tables:
1.1. Show Information Tables:
Our Information Tables display 6 different Time Frames (resolutions) so that you can see the current level of Fear and Greed (FGI) that is prevalent on each Time Frame. There are 4 different states the FGI can be in:
Fear (Red)
Minor Fear (Orange)
Greed (Green)
Minor Greed (Teal)
The color of each Time Frame Cell (on Oscillator and in the table) is based on the following:
Red: Red represents that it is currently in a state of Fear. When it is in a state of fear it means traders are being overly bearish and selling when they likely shouldn’t. While it is in a state of Fear, there is a high chance of BULLISH price movement occurring. Remember, Be Fearful when others are Greedy and Greedy when others are Fearful.
Orange: Orange represents that it is currently in a state of Minor Fear. Minor Fear means that the FGI is less than 50, but it’s not currently in a state of Fear or Greed. While it is in this state, there is a better chance for BULLISH price action than there is bearish but it's nowhere near as likely as when in a state of Fear.
Green: Green represents that it is currently in a state of Greed. When it is in a state of Greed, it means traders are being overly bullish and buying when they shouldn’t. While it is in a state of Greed, there is a high chance of BEARISH price movement occurring.
Teal: Teal represents that it is currently in a state of Minor Greed. Minor Greed means that the FGI is greater than 50, but it’s not currently in a state of Fear or Greed. While it is in this state, there is a better chance for BEARISH price actions than there is bullish; but it’s nowhere near as likely as when its in a state of Greed.
2. Res1 / Res2/ Res3 / Res4 / Res5 / Res6:
These represent the different resolutions (Time Frames) being used in your information tables and can be modified to display whatever resolution works best for your trading style. By default they are:
Res1: Current Timeframe
Res2: 15 Minute
Res3: 1 Hour
Res4: 4 Hour
Res5: 1 Day
Res6: 1 Week
Backup Res (not changeable): 5 Minute (this is only used if your Current Timeframe in Res1 is a duplicate of one of the other resolutions)
Our Fear and Greed Index can be very useful for understanding how people are feeling in the market and when large price swings will occur. Remember, Be Greedy when others are Fearful and Fearful when others are Greedy!
If you have any Questions or Concerns, don’t hesitate to contact us.
HAPPY TRADING!
Mid-Term Refuges by MFCMid-Term Refuges by MFC
Description in English
OverviewThe "Mid-Term Refuges by MFC" indicator is a versatile tool designed for TradingView, tailored for mid-term and short-term traders. It combines Classic Pivots, Higher Highs/Lower Highs/Lower Lows/Higher Lows (HH/HL/LL/LH), Daily/Weekly/Monthly/Annual Open Levels, Mid-Term Levels based on the annual open, and the All-Time High (ATH) level. Ideal for swing trading, day trading, and market structure analysis, it offers customizable visualizations to adapt to various trading styles and timeframes.
Key Features
1. Classic Pivots
Purpose: Displays pivot points (PP, S1, R1, S2, R2, S3, R3) calculated from the high, low, and close of a selected timeframe.
Visualization: Lines for the central pivot (PP), supports (S1, S2, S3), and resistances (R1, R2, R3), with customizable colors and styles.
Customization:
Enable/disable pivot lines and price labels.
Select pivot timeframe (1H, 4H, 8H, D, W, M, 12M).
Adjust colors, line thickness (1-4), and styles (solid, dashed, dotted).
Show pivots on all timeframes or only higher ones.
Display price values on lines with customizable text color and size.
2. HH/HL/LL/LH Pivots
Purpose: Identifies Higher Highs (HH), Lower Highs (LH), Lower Lows (LL), and Higher Lows (HL) to detect trend continuations or reversals.
Visualization: Dashed lines and labels at pivot points, with green for HH/LH and red for LL/HL.
Customization:
Enable/disable HH/HL/LL/LH pivots.
Adjust left/right bars (default: 5) for pivot sensitivity.
Set colors for each pivot type and limit historical pivots (up to 20).
Customize label text size and color.
3. Open Levels (Daily, Weekly, Monthly, Annual)
Purpose: Plots open prices for daily, weekly, monthly, and annual periods as key reference levels.
Visualization: Horizontal lines with labels showing the open price, updated at the start of each period.
Customization:
Enable/disable individual open levels.
Show on all timeframes or restrict to higher timeframes.
Adjust colors, line thickness (1-4), and styles (solid, dashed, dotted).
Display price labels with customizable text color and size.
4. Mid-Term Levels
Purpose: Displays upper (L1 to L8+) and lower (L-1 to L-8+) levels based on the annual open, calculated using customizable percentages.
Visualization: Dotted lines with labels for up to 8 default levels plus additional levels (up to 10).
Customization:
Enable/disable mid-term levels.
Set upper/lower percentages (default: 10%) and additional levels (0-10).
Adjust colors and line styles for primary and additional levels.
5. All-Time High (ATH)
Purpose: Tracks and displays the all-time high price of the asset.
Visualization: A horizontal line with a label at the ATH level, updated dynamically.
Customization:
Enable/disable ATH line and label.
Adjust color, line thickness (1-4), and style (solid, dashed, dotted).
Customize label text size and color.
6. Debugging Table
Purpose: Provides a table with real-time data for debugging and analysis.
Visualization: A table in the top-right corner showing pivot values, open levels, mid-term levels, and ATH.
Customization: Enable/disable the table.
Indicator Settings
General Settings
Show Debugging Table: Toggle the debugging table.
Pivot Timeframe: Select timeframe for classic pivots (1H, 4H, 8H, D, W, M, 12M).
Show Classic Pivots: Enable/disable classic pivot lines.
Show HH/HL/LL/LH Pivots: Enable/disable trend pivot lines.
Show Open Levels: Enable/disable daily, weekly, monthly, and annual open lines.
Classic Pivots
Colors and Styles: Set colors and styles (solid, dashed, dotted) for PP, S1, R1, S2, R2, S3, R3.
Line Thickness: Adjust line thickness (1-4).
Show Price Labels: Toggle price values on pivot lines.
Text Color and Size: Customize label appearance.
Enable on All Timeframes: Show pivots on intraday timeframes.
HH/HL/LL/LH Pivots
Left/Right Bars: Set sensitivity (default: 5 bars).
Colors: Green for HH/LH, red for LL/HL.
Max Historical Pivots: Limit displayed pivots (1-20).
Open Levels
Enable Daily/Weekly/Monthly/Annual: Toggle individual open levels.
Enable on All Timeframes: Show open levels on intraday timeframes.
Colors and Styles: Set colors and styles for each open level.
Line Thickness: Adjust thickness (1-4).
Show Price Labels: Toggle price values with customizable text color and size.
Mid-Term Levels
Enable Mid-Term Levels: Toggle upper/lower levels.
Upper/Lower Percentages: Set percentages (default: 10%).
Additional Levels: Add up to 10 extra levels.
Colors and Styles: Customize for primary and additional levels.
ATH
Show ATH: Toggle ATH line and label.
Color, Thickness, Style: Customize appearance.
Show Price Label: Toggle ATH price with customizable text.
How to Use
Add to Chart:
Search for "Mid-Term Refuges by MFC" in TradingView’s indicators and add it.
Initial Setup:
By default, all features (pivots, open levels, mid-term levels, ATH) are enabled.
Adjust colors, styles, percentages, and timeframes to match your strategy.
Interpretation:
Classic Pivots: Use PP, S1, R1, S2, R2, S3, R3 as support/resistance zones for entries, exits, or stops.
HH/HL/LL/LH Pivots: Identify trend direction (HH/HL for bullish, LL/LH for bearish) or reversals.
Open Levels: Use daily, weekly, monthly, and annual opens as key reference points for price reactions.
Mid-Term Levels: Monitor upper (L1 to L8+) and lower (L-1 to L-8+) levels for mid-term trend targets.
ATH: Track the all-time high as a critical resistance level.
Debugging Table: Review real-time values for pivots, opens, and levels.
Timeframes:
Ideal for swing trading (4H, D, W) and day trading (1H, 15M).
Enable "All Timeframes" for intraday analysis (1M, 5M).
Customization:
Adjust pivot sensitivity (left_bars, right_bars) for HH/HL/LL/LH.
Fine-tune percentages for mid-term levels and line styles for clarity.
Notes and Recommendations
Swing Trading: Use higher timeframes (4H, D, W) for classic pivots and mid-term levels to identify key zones.
Day Trading: Enable "All Timeframes" for open levels and pivots on lower timeframes (1M, 5M).
Avoid Clutter: Adjust text size or disable labels if the chart becomes crowded.
Testing: Experiment with pivot timeframes and mid-term level percentages for different markets (Forex, stocks, crypto).
Limitations: In low timeframes, HH/HL/LL/LH pivots may be sensitive to noise. Increase left_bars/right_bars for robustness.
Hawkes Volatility Exit IndicatorOverview
The Hawkes Volatility Exit Indicator is a powerful tool designed to help traders capitalize on volatility breakouts and exit positions when momentum fades. Built on the Hawkes process, it models volatility clustering to identify optimal entry points after quiet periods and exit signals during volatility cooling. Designed to be helpful for swing traders and trend followers across markets like stocks, forex, and crypto.
Key Features Volatility-Based Entries: Detects breakouts when volatility spikes above the 95th percentile (adjustable) after quiet periods (below 5th percentile).
This indicator is probably better on exits than entries.
Smart Exit Signals: Triggers exits when volatility drops below a customizable threshold (default: 30th percentile) after a minimum hold period.
Hawkes Process: Uses a decay-based model (kappa) to capture volatility clustering, making it responsive to market dynamics.
Visual Clarity: Includes a volatility line, exit threshold, percentile bands, and intuitive markers (triangles for entries, X for exits).
Status Table: Displays real-time data on position (LONG/SHORT/FLAT), volatility regime (HIGH/LOW/NORMAL), bars held, and exit readiness.
Customizable Alerts: Set alerts for breakouts and exits to stay on top of trading opportunities.
How It Works Quiet Periods: Identifies low volatility (below 5th percentile) that often precede significant moves.
Breakout Entries: Signals bullish (triangle up) or bearish (triangle down) entries when volatility spikes post-quiet period.
Exit Signals: Suggests exiting when volatility cools below the exit threshold after a minimum hold (default: 3 bars).
Visuals & Table: Tracks volatility, position status, and signals via lines, shaded zones, and a detailed status table.
Settings
Hawkes Kappa (0.1): Adjusts volatility decay (lower = smoother, higher = more sensitive).
Volatility Lookback (168): Sets the period for percentile calculations.
ATR Periods (14): Normalizes volatility using Average True Range.
Breakout Threshold (95%): Volatility percentile for entries.
Exit Threshold (30%): Volatility percentile for exits.
Quiet Threshold (5%): Defines quiet periods.
Minimum Hold Bars (3): Ensures positions are held before exiting.
Alerts: Enable/disable breakout and exit alerts.
How to Use
Entries: Look for triangle markers (up for long, down for short) and confirm with the status table showing "ENTRY" and "LONG"/"SHORT."
Exits: Exit on X cross markers when the status table shows "EXIT" and "Exit Ready: YES."
Monitoring: Use the status table to track position, bars held, and volatility regime (HIGH/LOW/NORMAL).
Combine: Pair with price action, support/resistance, or other indicators for better context.
Tips : Adjust thresholds for your market: lower breakout thresholds for more signals, higher exit thresholds for earlier exits.
Test on your asset to ensure compatibility (best for markets with volatility clustering).
Use alerts to automate signal detection.
Limitations Requires sufficient data (default: 168 bars) for reliable signals. Check "Data Status" in the table.
Focuses on volatility, not price direction—combine with trend tools.
May lag slightly due to the smoothing nature of the Hawkes process.
Why Use It?
The Hawkes Volatility Exit Indicator offers a unique, data-driven approach to timing trades based on volatility dynamics. Its clear visuals, customizable settings, and real-time status table make it a valuable addition to any trader’s toolkit. Try it to catch breakouts and exit with precision!
This indicator is based on neurotrader888's python repo. All credit to him. All mistakes mine.
This conversion published for wider attention to the Hawkes method.
VIX Z-Score (Inverted)📘 Indicator: VIX Z-Score (Inverted) + Table
🔍 Overview
This indicator calculates the Z-Score of the VIX (Volatility Index) and inverts it to identify potential buying opportunities during periods of fear and caution during periods of extreme optimism. The Z-Score is smoothed and visually displayed alongside a dynamic info table.
⚙️ How It Works
VIX Data: The VIX (ticker: CBOE:VIX) is pulled in real time.
Z-Score Calculation:
𝑍
=
(
𝑉
𝐼
𝑋
−
mean
)
standard deviation
Z=
standard deviation
(VIX−mean)
Over a customizable lookback period (default: 50).
Inversion:
Since high VIX usually means fear (often a contrarian buying signal), we invert the Z-Score:
𝑍
inv
=
−
𝑍
Z
inv
=−Z
Smoothing:
An EMA is applied to reduce noise and false signals.
Clamping:
The Z-Score is linearly scaled and capped between +2 and -2 for easy visualization in the info table.
📊 Z-Score Table (Top-Right)
Range Interpretation Table Color
+1.5 to +2 Extreme fear → Buy zone 🟩 Green
+0.5 to +1.5 Moderate fear 🟨 Lime
–0.5 to +0.5 Neutral ⬜ Gray
–0.5 to –1.5 Growing complacency 🟧 Orange
–1.5 to –2 Extreme optimism → Caution 🟥 Red
The current Z-Score (clamped version) is shown in real time on the right-hand info panel.
🧠 How to Use It
+2 Zone (Table: Green):
Market fear is at an extreme. Historically, such conditions are contrarian bullish—possible entry zones.
–2 Zone (Table: Red):
Indicates extreme optimism and low fear. Often a signal to be cautious or take profits.
Middle range (±0.5):
Market is neutral. Avoid major decisions based solely on sentiment here.
🧪 Best Practices
Combine with price action, volume, or trend filters.
Works well on daily or 4H timeframes.
Not a standalone signal—best used to confirm or fade sentiment extremes.
SFC Smart Money BenchmarkA benchmark is a standard or point of reference, which traders can use to measure something else.
This indicator is showing how correlated pairs are performing and what is the current correlation between them.
Features:
- Market performance - daily, weekly, monthly
- Sigma - volatility . It will be coloured in red, if the volatility is bigger than one standard deviation.
-Correlation - Positive correlation will be coloured in green if it is confirmed by the P-value, negative correlation in red.
-Confidence intervals
-Determination
Markets:
- Metal sector
- US Stock Indices
- Major USD Pairs
Market performance
The indicator is plotting a table with the current performance of the particular group, for example the metal sector and all correlated Gold pairs. The table is showing the performance of the pairs based on monthly, weekly and daily bases in the same time. In this case the trader can track all pairs simultaneously and see if there are anomalies between the pairs - SMT Divergence.
For example:
We know that Gold and Silver are very strong correlated pairs. In this case if Gold is going up, but Silver not, probably this move is only current manipulation and the true move is not clear. In that moment the trader can decide not to open an order or take some profit.
With the Sigma value traders also can track the current volatility of the price. The strength of the volatility is measured by the standard deviation.
-1>Sigma<1 - The asset is moving normally
-2>Sigma<-1 or 21 - The asset is volatile
-3>Sigma<-2 or 32 - The asset is very volatile
Correlation
The indicator is showing the current correlation between all pair from the table. The correlation is set to the first pair of the table. In order to make the correlation more accurate the indicator calculates the P-value and the Determination coefficient. The confidence intervals are also displayed in order to show how strong correlation should be expected.
Pearson correlation is a measure of linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such that the result always has a value between −1 and 1. As with covariance itself, the measure can only reflect a linear correlation of variables, and ignores many other types of relationships or correlations.
P-value evaluates how well your data rejects the null hypothesis, which states that there is no relationship between two compared groups. Successfully rejecting this hypothesis tells you that your results may be statistically significant. In academic research, p-value is defined as the probability of obtaining results ‘as extreme’ or ‘more extreme’, given that the null hypothesis is true — essentially, how likely it is that you would receive the results (or more dramatic results) you did assuming that there is no correlation or relationship (e.g. the thing that you’re testing) among the subjects
Coefficient of Determination is just the square of pearson’s correlation coefficient R. This is done as it is easier to explain linear regression in terms of R² than R. As R ranges from -1 to 1, R² would range from 0 to 1 — clearly explaining relationship with 0 being not related and 1 being perfectly related.
The correlation confidence interval is the range in which the population correlation is most likely to be found.
The degree of certainty for which it is likely to be within that range is called the confidence level.
When you collect sample data, you can not know the exact value of the correlation.
Note:
For the Stock indices there is an extra calculation, showing the current market expectations - Fear and Greed Index. The calculated index could differs a bit from the original CNN Fear and Greed indicator, because they calculate the index based on Future markets. This indicator calculate the index based on the market that we trade - indices.
Supported pairs:
-Option Gold - XAUUSD , GDX , Silver , Aluminum, Platinum , Palladium, 30Y US Yields, 10Y US Yields, 2Y US Yields, XAUEUR, XAUGBP, XAUAUD , XAUCAD , XAUCNY , XAUJPY
-Option Others - Table1: SP500 , US30, NAS100 ; Table2: DXY , EURUSD , GBPUSD , AUDUSD
Intraday Volume Pulse GSK-VIZAG-AP-INDIAIntraday Volume Pulse Indicator
Overview
This indicator is designed to track and visualize intraday volume dynamics during a user-defined trading session. It calculates and displays key volume metrics such as buy volume, sell volume, cumulative delta (difference between buy and sell volumes), and total volume. The data is presented in a customizable table overlay on the chart, making it easy to monitor volume pulses throughout the session. This can help traders identify buying or selling pressure in real-time, particularly useful for intraday strategies.
The indicator resets its calculations at the start of each new day and only accumulates volume data from the specified session start time onward. It uses simple logic to classify volume as buy or sell based on candle direction:
Buy Volume: Assigned to green (up) candles or half of neutral (doji) candles.
Sell Volume: Assigned to red (down) candles or half of neutral (doji) candles.
All calculations are approximate and based on available volume data from the chart. This script does not incorporate external data sources, order flow, or tick-level information—it's purely derived from standard OHLCV (Open, High, Low, Close, Volume) bars.
Key Features
Session Customization: Define the start time of your trading session (e.g., market open) and select from common timezones like Asia/Kolkata, America/New_York, etc.
Volume Metrics:
Buy Volume: Total volume attributed to bullish activity.
Sell Volume: Total volume attributed to bearish activity.
Cumulative Delta: Net difference (Buy - Sell), highlighting overall market bias.
Total Volume: Sum of all volume during the session.
Formatted Display: Volumes are formatted for readability (e.g., in thousands "K", lakhs "L", or crores "Cr" for large numbers).
Color-Coded Table: Uses a patriotic color scheme inspired by general themes (Saffron, White, Green) with dynamic backgrounds based on positive/negative values for quick visual interpretation.
Table Options: Toggle visibility and position (top-right, top-left, etc.) for a clean chart layout.
How to Use
Add to Chart: Apply this indicator to any symbol's chart (works best on intraday timeframes like 1-min, 5-min, or 15-min).
Configure Inputs:
Session Start Hour/Minute: Set to your market's open time (default: 9:15 for Indian markets).
Timezone: Choose the appropriate timezone to align with your trading hours.
Show Table: Enable/disable the metrics table.
Table Position: Place the table where it doesn't obstruct your view.
Interpret the Table:
Monitor for spikes in buy/sell volume or shifts in cumulative delta.
Positive delta (green) suggests buying pressure; negative (red) suggests selling.
Use alongside price action or other indicators for confirmation—e.g., high total volume with positive delta could indicate bullish momentum.
Limitations:
Volume classification is heuristic and not based on actual order flow (e.g., it splits doji volume evenly).
Data accumulation starts from the session time and resets daily; historical backtesting may be limited by the max_bars_back=500 setting.
This is for educational and visualization purposes only—do not use as sole basis for trading decisions.
Calculation Details
Session Filter: Uses timestamp() to define the session start and filters bars with time >= sessionStart.
New Day Detection: Resets volumes on daily changes via ta.change(time("D")).
Volume Assignment:
Buy: Full volume if close > open; half if close == open.
Sell: Full volume if close < open; half if close == open.
Cumulative Metrics: Accumulated only during the session.
Formatting: Custom function f_format() scales large numbers for brevity.
Disclaimer
This script is for educational and informational purposes only. It does not provide financial advice or signals to buy/sell any security. Always perform your own analysis and consult a qualified financial professional before making trading decisions.
© 2025 GSK-VIZAG-AP-INDIA
Red Folder News Pass Your Eval [HERMAN]Red Folder News Levels
This indicator provides visual reference levels around high-impact economic news events (commonly called “red folder” news) to help traders prepare for potential market volatility.
It is strictly educational and informational and does not place trades or guarantee any results.
What This Indicator Does:
-Plots dynamic price reference levels above and below the current market price.
-Displays Take Profit (TP) reference levels a fixed distance from the entry levels.
Shows optional on-chart tables:
Instruction Table – summarizes how to interpret the plotted levels.
Red Folder News Table – lists key economic events (CPI, NFP, FOMC, ISM, etc.) and ranks them by typical market impact.
Visual Elements on the Chart:
-Green Dashed Line → Upper reference level (potential long-side zone).
-Solid Green Line → Take-profit reference above the green dashed line.
-Red Dashed Line → Lower reference level (potential short-side zone).
-Solid Red Line → Take-profit reference below the red dashed line.
These levels update dynamically with each new bar, allowing you to see real-time visual guides around market-moving news releases.
Settings & What They Do:
-Entry Settings
-Manual Entry Offset (pts)
Distance in points above and below the current price to place the dashed reference levels.
Example: 4.0 means the green/red dashed lines appear 4 points above and below the current market price.
Instruction Table
Show Instruction Table (true/false)
If enabled, displays a step-by-step usage table on the top-right of the chart.
Explains how to interpret the visual levels in a simple flow.
Red Folder News Table
Show Red Folder News Table (true/false)
If enabled, displays a reference list of high-impact economic events on the bottom-right of the chart.
Events are ranked by market impact (⭐ to ⭐⭐⭐⭐⭐).
Theme Settings
Table Theme (Dark/Light)
Switch between a dark or light theme for all on-chart tables.
Adjusts the background and text colors to improve visibility depending on your chart style.
Note: The TP distance is fixed at 32 points and is automatically calculated from the entry lines.
How to Use (Educational Only)
Add the indicator to your chart and set your preferred Manual Entry Offset.
Check the Red Folder News Table to know which events typically generate higher volatility.
Observe the visual levels before high-impact economic releases.
Use them purely as reference zones for your own manual analysis and risk management.
⚠️ Disclaimer:
This script is for educational and informational purposes only.
It does not execute trades, provide financial advice, or guarantee performance.
Always trade responsibly and use your own judgment and risk management.
This description:
✅ Explains logic, visuals, and settings
✅ Avoids buy/sell instructions and profit promises
✅ Meets TradingView House Rules
Uptrick: Z-Trend BandsOverview
Uptrick: Z-Trend Bands is a Pine Script overlay crafted to capture high-probability mean-reversion opportunities. It dynamically plots upper and lower statistical bands around an EMA baseline by converting price deviations into z-scores. Once price moves outside these bands and then reenters, the indicator verifies that momentum is genuinely reversing via an EMA-smoothed RSI slope. Signal memory ensures only one entry per momentum swing, and traders receive clear, real-time feedback through customizable bar-coloring modes, a semi-transparent fill highlighting the statistical zone, concise “Up”/“Down” labels, and a live five-metric scoring table.
Introduction
Markets often oscillate between trending and reverting, and simple thresholds or static envelopes frequently misfire when volatility shifts. Standard deviation quantifies how “wide” recent price moves have been, and a z-score transforms each deviation into a measure of how rare it is relative to its own history. By anchoring these bands to an exponential moving average, the script maintains a fluid statistical envelope that adapts instantly to both calm and turbulent regimes. Meanwhile, the Relative Strength Index (RSI) tracks momentum; smoothing RSI with an EMA and observing its slope filters out erratic spikes, ensuring that only genuine momentum flips—upward for longs and downward for shorts—qualify.
Purpose
This indicator is purpose-built for short-term mean-reversion traders operating on lower–timeframe charts. It reveals when price has strayed into the outer 5 percent of its recent range, signaling an increased likelihood of a bounce back toward fair value. Rather than firing on price alone, it demands that momentum follow suit: the smoothed RSI slope must flip in the opposite direction before any trade marker appears. This dual-filter approach dramatically reduces noise-driven, false setups. Traders then see immediate visual confirmation—bar colors that reflect the latest signal and age over time, clear entry labels, and an always-visible table of metric scores—so they can gauge both the validity and freshness of each signal at a glance.
Originality and Uniqueness
Uptrick: Z-Trend Bands stands apart from typical envelope or oscillator tools in four key ways. First, it employs fully normalized z-score bands, meaning ±2 always captures roughly the top and bottom 5 percent of moves, regardless of volatility regime. Second, it insists on two simultaneous conditions—price reentry into the bands and a confirming RSI slope flip—dramatically reducing whipsaw signals. Third, it uses slope-phase memory to lock out duplicate signals until momentum truly reverses again, enforcing disciplined entries. Finally, it offers four distinct bar-coloring schemes (solid reversal, fading reversal, exceeding bands, and classic heatmap) plus a dynamic scoring table, rather than a single, opaque alert, giving traders deep insight into every layer of analysis.
Why Each Component Was Picked
The EMA baseline was chosen for its blend of responsiveness—weighting recent price heavily—and smoothness, which filters market noise. Z-score deviation bands standardize price extremes relative to their own history, adapting automatically to shifting volatility so that “extreme” always means statistically rare. The RSI, smoothed with an EMA before slope calculation, captures true momentum shifts without the false spikes that raw RSI often produces. Slope-phase memory flags prevent repeated alerts within a single swing, curbing over-trading in choppy conditions. Bar-coloring modes provide flexible visual contexts—whether you prefer to track the latest reversal, see signal age, highlight every breakout, or view a continuous gradient—and the scoring table breaks down all five core checks for complete transparency.
Features
This indicator offers a suite of configurable visual and logical tools designed to make reversal signals both robust and transparent:
Dynamic z-score bands that expand or contract in real time to reflect current volatility regimes, ensuring the outer ±zThreshold levels always represent statistically rare extremes.
A smooth EMA baseline that weights recent price more heavily, serving as a fair-value anchor around which deviations are measured.
EMA-smoothed RSI slope confirmation, which filters out erratic momentum spikes by first smoothing raw RSI and then requiring its bar-to-bar slope to flip before any signal is allowed.
Slope-phase memory logic that locks out duplicate buy or sell markers until the RSI slope crosses back through zero, preventing over-trading during choppy swings.
Four distinct bar-coloring modes—Reversal Solid, Reversal Fade, Exceeding Bands, Classic Heat—plus a “None” option, so traders can choose whether to highlight the latest signal, show signal age, emphasize breakout bars, or view a continuous heat gradient within the bands.
A semi-transparent fill between the EMA and the upper/lower bands that visually frames the statistical zone and makes extremes immediately obvious.
Concise “Up” and “Down” labels that plot exactly when price re-enters a band with confirming momentum, keeping chart clutter to a minimum.
A real-time, five-metric scoring table (z-score, RSI slope, price vs. EMA, trend state, re-entry) that updates every two bars, displaying individual +1/–1/0 scores and an averaged Buy/Sell/Neutral verdict for complete transparency.
Calculations
Compute the fair-value EMA over fairLen bars.
Subtract that EMA from current price each bar to derive the raw deviation.
Over zLen bars, calculate the rolling mean and standard deviation of those deviations.
Convert each deviation into a z-score by subtracting the mean and dividing by the standard deviation.
Plot the upper and lower bands at ±zThreshold × standard deviation around the EMA.
Calculate raw RSI over rsiLen bars, then smooth it with an EMA of length rsiEmaLen.
Derive the RSI slope by taking the difference between the current and previous smoothed RSI.
Detect a potential reentry when price exits one of the bands on the prior bar and re-enters on the current bar.
Require that reentry coincide with an RSI slope flip (positive for a lower-band reentry, negative for an upper-band reentry).
On first valid reentry per momentum swing, fire a buy or sell signal and set a memory flag; reset that flag only when the RSI slope crosses back through zero.
For each bar, assign scores of +1, –1, or 0 for the z-score direction, RSI slope, price vs. EMA, trend-state, and reentry status.
Average those five scores; if the result exceeds +0.1, label “Buy,” if below –0.1, label “Sell,” otherwise “Neutral.”
Update bar colors, the semi-transparent fill, reversal labels, and the scoring table every two bars to reflect the latest calculations.
How It Actually Works
On each new candle, the EMA baseline and band widths update to reflect current volatility. The RSI is smoothed and its slope recalculated. The script then looks back one bar to see if price exited either band and forward to see if it reentered. If that reentry coincides with an appropriate RSI slope flip—and no signal has yet been generated in that swing—a concise label appears. Bar colors refresh according to your selected mode, and the scoring table updates to show which of the five conditions passed or failed, along with the overall verdict. This process repeats seamlessly at each bar, giving traders a continuous feed of disciplined, statistically filtered reversal cues.
Inputs
All parameters are fully user-configurable, allowing you to tailor sensitivity, lookbacks, and visuals to your trading style:
EMA length (fairLen): number of bars for the fair-value EMA; higher values smooth more but lag further behind price.
Z-Score lookback (zLen): window for calculating the mean and standard deviation of price deviations; longer lookbacks reduce noise but respond more slowly to new volatility.
Z-Score threshold (zThreshold): number of standard deviations defining the upper and lower bands; common default is 2.0 for roughly the outer 5 percent of moves.
Source (src): choice of price series (close, hl2, etc.) used for EMA, deviation, and RSI calculations.
RSI length (rsiLen): period for raw RSI calculation; shorter values react faster to momentum changes but can be choppier.
RSI EMA length (rsiEmaLen): period for smoothing raw RSI before taking its slope; higher values filter more noise.
Bar coloring mode (colorMode): select from None, Reversal Solid, Reversal Fade, Exceeding Bands, or Classic Heat to control how bars are shaded in relation to signals and band positions.
Show signals (showSignals): toggle on-chart “Up” and “Down” labels for reversal entries.
Show scoring table (enableTable): toggle the display of the five-metric breakdown table.
Table position (tablePos): choose which corner (Top Left, Top Right, Bottom Left, Bottom Right) hosts the scoring table.
Conclusion
By merging a normalized z-score framework, momentum slope confirmation, disciplined signal memory, flexible visuals, and transparent scoring into one Pine Script overlay, Uptrick: Z-Trend Bands offers a powerful yet intuitive tool for intraday mean-reversion trading. Its adaptability to real-time volatility and multi-layered filter logic deliver clear, high-confidence reversal cues without the clutter or confusion of simpler indicators.
Disclaimer
This indicator is provided solely for educational and informational purposes. It does not constitute financial advice. Trading involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own testing and apply careful risk management before trading live.
Comprehensive Volume and Metrics with Pre-Market Volume Data
This script is designed for traders who want a detailed view of market activity, including regular market and pre-market volume, dollar volume, relative volume (RVOL), average daily range (ADR), average true range (ATR), relative strength index (RSI), and the QQQ’s percentage change.
The script includes customizable metrics displayed in tables on the chart for easy analysis, with the option to toggle the visibility of each metric.
Key Features:
Volume and Dollar Volume:
Displays the volume of shares traded during the current day (or pre-market, if enabled).
Includes a calculation of dollar volume, representing the total dollar amount of trades (Volume × Close Price).
Relative Volume (RVOL):
Displays RVOL Day, which is the relative volume of the current day compared to the 2-day moving average.
Shows RVOL 90D, indicating relative volume over the past 90 days.
Both RVOL metrics are calculated as percentages and display the percentage change compared to the standard (100%).
Pre-Market Data:
Includes pre-market volume (PVOL) and pre-market dollar volume (P$ VOL) which are displayed only if pre-market data is enabled.
Tracks volume and dollar volume during pre-market hours (4:00 AM to 9:30 AM Eastern Time) for more in-depth analysis.
Optionally, shows pre-market RSI based on volume-weighted close prices.
Average Daily Range (ADR):
Displays the percentage change between the highest and lowest prices over the defined ADR period (default is 20 days).
Average True Range (ATR):
Shows the ATR, a popular volatility indicator, for a given period (default is 14 bars).
RSI (Relative Strength Index):
Displays RSI for the given period (default is 14).
RSI is calculated using pre-market data when available.
QQQ:
Shows the percentage change of the QQQ ETF from the previous day’s close.
The QQQ percentage change is color-coded: green for positive, red for negative, and gray for no change.
Customizable Inputs:
Visibility Options: Toggle the visibility of each metric, such as volume, dollar volume, RVOL, ADR, ATR, RSI, and QQQ.
Pre-Market Data: Enable or disable the display of pre-market data for volume and dollar volume.
Table Positioning: Adjust the position of tables displaying the metrics either at the bottom-left or bottom-right of the chart.
Text Color and Table Background: Choose between white or black text for the tables and customize the background color.
Tables:
The script utilizes tables to display multiple metrics in an organized and easy-to-read format.
The values are updated dynamically, reflecting real-time data as the market moves.
Pre-Market Data:
The script calculates pre-market volume and dollar volume, along with other key metrics like RSI and RVOL, to help assess market sentiment before the market officially opens.
The pre-market data is accumulated from 4:00 AM to 9:30 AM ET, allowing for pre-market analysis and comparison to regular market hours.
User-Friendly and Flexible:
This script is designed to be highly customizable, giving you the ability to toggle which metrics to display and where they appear on the chart. You can easily focus on the data that matters most to your trading strategy.
