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.
Tìm kiếm tập lệnh với "Table"
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!
3CRGANG - Sessions3CRGANG - Sessions
This indicator displays a table showing the status of major global trading sessions (NYSE, LSE, FSE, ASX, TSE, HKSE) with real-time updates, customizable timezones, and visualization settings. It includes holiday detection, session alerts, and detailed tooltips for weekly schedules, tailored for stocks, forex, futures, crypto, commodities, and indices.
Features:
Sessions Table: Displays the status of six major exchanges (New York, London, Frankfurt, Sydney, Tokyo, Hong Kong) with color-coded indicators for active, pre-open, and closed states.
Timezone Support: Choose from a wide range of global timezones to align session times with your local time.
Visualization Options: Select device template (Desktop, Tablet, Mobile) and color theme (Light or Dark) for optimal display.
Holiday Detection: Integrates holiday schedules for each exchange, including half-day closures (e.g., Lunar New Year for HKSE), with alerts for session closures.
Session Alerts: Configurable alerts for pre-open (30 or 5 minutes), open, pre-close (30 or 5 minutes), close, and holiday events for each exchange.
Tooltips: Detailed weekly schedules in tooltips, showing session times, holidays, and time until open/close in the user’s timezone.
Time Settings:
Timezone: Select from global timezones (e.g., UTC+3 Jerusalem, UTC-4 New York).
Time Format: Choose between Standard (12-hour with AM/PM) or Military (24-hour) time.
Visualization Setup:
Device: Select Desktop, Tablet, or Mobile template to adjust table size and text.
Color Theme: Choose Light or Dark theme for visual elements.
Sessions Dashboard:
Sessions Table Position: Set the position of the sessions table (e.g., top-right, bottom-center).
Notifications Settings:
Enable Alerts: Toggle alerts for NYSE, LSE, FSE, ASX, TSE, and HKSE sessions (pre-open, open, pre-close, close, and holiday events).
Notes:
Session Status: Active sessions are highlighted with exchange-specific colors (e.g., green for NYSE, cyan for LSE), pre-open sessions in yellow, and closed sessions in grey.
Holiday Handling: Automatically adjusts for full and half-day holidays, with early close times applied (e.g., HKSE Lunar New Year).
Tooltip Details: Shows a weekly schedule for each exchange, including open/close times, holiday notes, and time until the next session event in the user’s timezone.
Market Detection: Supports various asset types (stocks, forex, futures, crypto, commodities, indices) with accurate session detection for regular (RTH), extended (ETH), and electronic trading hours.
Performance: Ensure sufficient chart history for accurate session and holiday calculations.
Usage: Customize the table position, device template, and alerts to suit your trading needs. Use tooltips to monitor session schedules and upcoming events.
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
Rapid Cumulative Delta Proxy (Close vs Close)Rapid Cumulative Delta Proxy (Close vs Close)
1. Summary
This indicator provides a powerful proxy for Cumulative Delta , offering insight into the buying and selling pressure within each candle without requiring access to specialized tick data. It works by analyzing a Lower Timeframe (LTF) of your choice and accumulating the volume based on simple price changes, then displaying the results in a clean, customizable "footprint-style" table on your main chart.
This tool is designed for traders who want to understand the underlying order flow dynamics and see whether buyers or sellers were more aggressive during the formation of a candle.
2. Key Features
Cumulative Delta Proxy: Calculates delta by comparing the close of each LTF bar to the previous one, assigning volume to either buyers or sellers.
Lower Timeframe Analysis: Gives you the flexibility to choose any LTF (e.g., 1-minute, 5-minute, or even seconds) to build your delta analysis, allowing for granular or broad views.
Historical "Footprint" Table: Displays data for the current, developing bar as well as a user-defined number of previous bars, allowing for immediate historical context.
Live Data Monitoring: The top row of the table always shows the real-time, developing values for the current bar.
Full Visual Customization: Provides extensive options to control the table's position, colors, and text styles to perfectly match your chart's theme.
3. Calculation Mechanism
The logic of this indicator is straightforward and transparent. For every single bar on your main (Higher Timeframe) chart, the script performs the following steps:
Data Collection: The script uses the request.security_lower_tf() function to gather all the close and volume data from the user-specified Lower Timeframe that falls within the current HTF bar.
Volume Allocation: It then iterates through each of these LTF bars to determine if it represented buying or selling pressure.
If an LTF bar's close is greater than the close of the previous LTF bar, its entire volume is added to a running total of Buy Volume.
If an LTF bar's close is less than the close of the previous LTF bar, its volume is added to a running total of Sell Volume.
If the closes are identical, the volume is considered neutral and is ignored.
Final Calculations: Once all the LTF bars have been processed, the final metrics for that single HTF bar are calculated:
Delta: This is the net difference between the accumulated volumes. The formula is:
Delta=TotalBuyVolume−TotalSellVolume
Imbalance %: This shows the percentage dominance of buyers or sellers relative to the total activity. The formula is:
Imbalance%= Delta / (TotalBuyVolume+TotalSellVolume) ×100
This entire process repeats for each bar on your chart, with the results stored and displayed in the historical table.
4. Settings Explained
Lower Timeframe: The most important setting. This is the timeframe the script will analyze to calculate delta. It must be a lower interval than your main chart's timeframe.
History Bar Count: Controls how many previous, closed bars of data are displayed in the table below the "Live" bar.
Table Visuals (Group):
Header Colors: Customize the text color for each column header (Buy, Sell, Delta, Imbalance).
Background Colors: Set the colors used for the conditional backgrounds on the Delta and Imbalance columns (Positive, Negative, and Neutral values).
Data Text Style: Control the color and size of all standard text in the table. Placed on one line for convenience.
Table Position: A dropdown menu to place the table in any of nine positions on your chart.
5. Trading Concepts & Examples
This is where the Delta Table truly shines. By comparing the delta data (the "Effort") with the candle on your chart (the "Result"), you can gain powerful insights.
A. Effort vs. Result Analysis
This concept helps you determine if the trading activity is actually succeeding in moving the price.
Confirmation:
High positive delta on a large green candle that closes strong. This confirms the buying pressure was effective and the trend is likely to continue.
High negative delta on a large red candle that closes weak. This confirms the selling pressure was effective.
Divergence (Sign of Reversal):
Absorption: You see very high positive delta, but the candle on the chart is small, with a long upper wick (a shooting star). This is a major warning sign. It means buyers exerted massive effort, but the result was poor because a large seller absorbed all their buying, preventing the price from rising. This often precedes a move down.
Exhaustion: You see very high negative delta, but the candle is small with a long lower wick (a hammer). This means sellers tried their best to push the price down but failed. Their effort was met with strong buying pressure, signaling selling exhaustion and a potential bottom.
B. Identifying Traps (Two-Bar Analysis)
Traps occur when a breakout or breakdown fails, catching traders on the wrong side of the market. The Delta Table makes these easy to spot.
Example of a Bull Trap:
The Bait (Bar 1): A strong green candle breaks above a key resistance level. You look at the table and see a strong positive delta, convincing traders to go long.
The Trap (Bar 2): The very next candle is a powerful red candle that closes back below the resistance level. Now, check the table for this candle—you will often see an equally strong or even stronger negative delta.
Interpretation: The initial breakout buyers are now "trapped." The aggressive negative delta on the second bar confirms that sellers have taken control, and the trapped longs will be forced to sell, fueling a sharper decline.
Example of a Bear Trap:
The Bait (Bar 1): A strong red candle breaks below a key support level, showing a strong negative delta in the table. Traders are convinced to go short.
The Trap (Bar 2): The next candle is a powerful green candle closing back above support, accompanied by a very strong positive delta.
Interpretation: The breakdown has failed. Aggressive buyers have stepped in, "trapping" the short-sellers who must now buy back their positions, adding fuel to the rally.
6. Important Notes
Repainting: This indicator does not repaint. Once a bar on your main chart closes, its calculated values in the historical table are fixed and will not change. The "Live" data row updates in real-time as the current bar forms, which is the intended and expected behavior.
1-Second Timeframe: The script allows for using second-based intervals (e.g., "1S"). Please be aware that access to second-based timeframes on TradingView requires a Premium subscription. If you do not have one, please use a minute-based interval (e.g., "1").
Historic Bars: The script can accommodate large range, does not have any max bar limit. Please be aware that large table will require heavy computing power.
7. Disclaimer
The information provided by this indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions are your own and should be made with the help of a qualified financial professional. Trading financial markets involves substantial risk, and past performance is not indicative of future results. The author is not responsible for any losses you may incur as a result of using this script.
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.
Weekday H/L Raids Weekday H/L Raids
The "Weekday H/L Raids" indicator is a powerful tool designed to help traders identify and visualize key levels from previous days' highs and lows, track their raids, and manage alerts effectively. This script is equipped with numerous customizable features to suit your trading style and preferences.
Key Features:
Display Settings:
Show previous highs and lows: Toggle to display previous highs and lows on the chart.
Show labels: Toggle to display labels for the highs and lows.
Lookback days: Set the number of days to look back for high and low levels (1-10 days).
Style Settings:
Line Style: Choose between Solid, Dashed, or Dotted lines.
Line Width: Adjust the width of the lines (1-4).
High Color: Set the color for high levels (default: green).
Low Color: Set the color for low levels (default: red).
Label Size: Customize the label size (Tiny, Small, Normal, Large).
Table Settings:
Show table: Toggle to display a table summarizing the levels.
Table Position: Position the table at Top Left, Top Right, Bottom Left, or Bottom Right.
Number of Table Rows: Set the number of rows to display in the table (1-10).
Table Border Color: Choose the border color of the table.
Table Background Color: Choose the background color of the table.
Table Text Color: Choose the text color in the table.
Alert Settings:
Enable Alerts: Toggle to enable or disable alerts for when levels are raided.
How It Works:
The script identifies previous day high and low levels, allowing you to visualize these critical points on your chart. It updates these levels daily and checks if they are raided, providing visual cues and alerts when this occurs.
High and Low Levels: Automatically plots previous day's highs and lows with customizable styles.
Labels: Displays labels indicating high and low levels with optional customization for size and color.
Alerts: Get notified when a previous high or low is raided, ensuring you never miss critical market movements.
Table Summary: Summarizes the levels and their statuses (raided or not) in a table, with customizable position, colors, and size.
Usage:
Add the indicator to your chart.
Customize the display, style, table, and alert settings to fit your preferences.
Monitor the levels and respond to alerts as necessary.
Disclaimer:
This script is a tool to help analysts and traders visualize important levels and manage alerts. It does not provide financial advice or guarantee any trading results.
Z-Score Probability IndicatorThis is the Z-Score Probability indicator. As many people like my original Z-Score indicator and have expressed more interest in the powers of the Z, I decided to make this indicator which shows additional powers of the Z-Score.
Z-Score is not only useful for measuring a ticker or any other variable’s distance from the mean, it is also useful to calculate general probability in a normal distribution set. Not only can it calculate probability in a dataset, but it can also calculate the variables within said dataset by using the Standard Deviation and the Mean of the dataset.
Using these 2 aspects of the Z-Score, you can, In principle, have an indicator that operates similar to Fibonacci retracement levels with the added bonus of being able to actually ascertain the realistic probability of said retracement.
Let’s take a look at an example:
This is a chart showing SPY on the daily timeframe. If we look at the current Z-Score level, we can see that SPY is pushing into the 2 to 3 Z-Score range. We can see two things from this:
1. We can see that a retracement to a Z-Score of 2 would correspond to a price of 425.26 based on the current dataset. And
2. We can see that the probability that SPY retraces to a Z-Score of 2 is around 0.9800 or 98%.
To take it one step further, we can look at the various other variables in the distribution. If we were to bet on SPY retracing back to -1 SDs, that would correspond to a price of around 397.15, with a probability of around 0.1600 or 16% (see image below):
Let’s say, we thought SPY would go to $440. Well, we can see that the probability SPY goes to 434.64 currently is pretty low. How do we know? Because the Z-Score table shows us the probability of values falling BELOW that Z-score level in the current distribution. So if we look at this example below:
We can see that 0.9998 or roughly 99% of values in the current SPY distribution will fall below 434.64. Thus, it may be unrealistic, at this point in time, to target said value.
So what is a Z-Score Table?
Well, I need to disclose/clarify that the Z-Score Table being displayed in this indicator does Z-Score probability a HUGE injustice. However, with the constraints what is realistic to fit into an indicator, I had to make it far more succinct. Let’s take a look at an actual Z-Score Table below:
Above is a look an the actual Z-Score table. How it works is you first identify you’re Z-Score and then find the corresponding value that relates to your score. The number displayed in the dataset represents the number of variables in the dataset/density distribution that fall BELOW that particular Z-score.
So, for example, if we have a Z-Score of -2.31, we can consult that table, go to the -2.3 then scroll across to the 0.01 to represent -2.31. We would see that this Z-Score corresponds to a 0.0104 probability zone (or essentially 1%) indicating that the majority of the variables in the distribution fall below that mean Z-score. In terms of tickers and stocks, that would mean it would theoretically be “overbought”.
So what does the indicator Z-Table tell us?
I have averaged out the data for the purposes of this indicator. However, you can also reference a manual Z-Table to get the exact probability for the current precise Z-Score. However, the reality is it doesn’t necessarily matter to be exact when it comes to tickers. The reason being, ticker’s are in constant flux, and by the time you identify that probability, the ticker will already be at a different level. So generalizations are okay in these circumstances, you just need to get the “gist” of where the distribution lies.
So how do I use the indicator?
Using the indicator is pretty straightforward. Once launched, you will see the current Z-Score of the ticker, the current levels based on the distribution and the summarized Z-Table.
The Z-Table will turn gray to indicate the zone the ticker is currently in. In this case, we can see that SPY currently is in the 2 SD Zone, meaning that 0.98 or 98% of the current dataset being shown falls below the price we are at:
When we launch the settings, we can see a few inputs.
Lookback Length: This determines the number of candles back we want to calculate the distribution for. It is defaulted to 75, but you can adjust it to whichever length you want.
SMA Length: The SMA is optional but defaults to on. If you want to see the smoothed trend of the Z-Score, this will do the trick. It does not need to be set to the same
length as the Z-Score lookback. Thus, if you want a more or less responsive SMA with, say, a larger dataset, then you can reduce the SMA length yourself.
Distribution Probability Fills: This simply colour codes the distribution zones / probability zones on the indicator.
Show Z-Table: This will display the summarized Z-Table.
Show SMA: As I indicated, the SMA is optional, you can toggle it on or off to see the overall Z-Score trend.
Concluding Remarks:
And that my friends is the Z-Score Probability Indicator.
I hope you all enjoy it and find it helpful. As always leave your comments, questions and suggestions below.
Safe trades to all and take care!
Kio IQ [TradingIQ]Introducing: “Kio IQ ”
Kio IQ is an all-in-one trading indicator that brings momentum, trend strength, multi-timeframe analysis, trend divergences, pullbacks, early trend shift signals, and trend exhaustion signals together in one clear view.
🔶 The Philosophy of Kio IQ
Markets move in trends—and capturing them reliably is the key to consistency in trading. Without a tool to see the bigger picture, it’s easy to mistake a pullback for a breakout, a fakeout for the real deal, or random market noise as a meaningful price move.
Kio IQ cuts through that random market noise—scanning multiple timeframes, analyzing short, medium, and long-term momentum, and telling you on the spot whether a move is strong, weak, a trap, or simply a small move within a larger trend.
With Kio IQ, price action reveals its next move.
You’ll instantly see:
Which way it’s pushing — up, down, or stuck in the middle.
How hard it’s pushing — from fading weakness to full-blown strength.
When the gears are shifting — early warnings, explosive moves, smart pullbacks, or signs it’s running out of steam.
🔶 Why This Matters
Markets move in phases—sometimes they’re powering in one direction, sometimes they’re slowing down, and sometimes they’re reversing.
Knowing which phase you’re in can help you:
Avoid chasing a move that’s about to run out of steam.
Jump on a move when it’s just getting started.
Spot pullbacks inside a bigger trend (good for entries).
See when different timeframes are all pointing the same way.
🔶 What Kio IQ Shows You
Simple color-coded phases: “Strong Up,” “Up,” “Weak Up,” “Weak Down,” “Down,” “Strong Down.”
Clear visual signals
Full Shift: Strong momentum in one direction.
Half Shift: Momentum is building but not full power yet.
Pullback Shift: A small move against the trend that may be ending.
Early Scout / Lookout: First hints of a possible shift.
Exhaustion: Momentum is very stretched and may slow down.
Divergences: When price moves one way but momentum moves the opposite way—often a warning of a change.
Multi-Timeframe Table: See the trend strength for multiple timeframes (5m, current, 30m, 4h, 1D, and optional 1W/1M) all in one place.
Trend Strength %: A single number that tells you how strong the trend is across all timeframes.
Optional meters: A “momentum bar” and “trend strength gauge” for quick checks.
🔶 How It Works Behind the Scenes
Kio IQ measures price movement in different “speeds”:
Slow view: Big picture trend.
Medium view: The main engine for detecting the current phase.
Fast view: Catches recent changes in momentum.
Super-fast view: Finds tiny pullbacks inside the bigger move.
It compares these views to decide whether the market is strong up, weak up, weak down, strong down, or in between. Then it blends data from multiple timeframes so you see the whole picture, not just the current chart.
🔶 What You’ll See on the Chart
🔷 Full Shift Oscillator (FSO)
The image above highlights the Full Shift Oscillator (FSO).
The FSO is the cornerstone of Kio IQ, delivering mid-term momentum analysis. Using a proprietary formula, it captures momentum on a smooth, balanced scale — responsive enough to avoid lag, yet stable enough to prevent excessive noise or false signals.
The Key Upside Level for the FSO is +20, while the Key Downside Level is -20.
The image above shows the FSO above +20 and below -20, and the corresponding price movement.
FSML above +20 confirms sustained upside momentum — the market is being driven by consistent, broad-based buying pressure, not just a price spike.
FSML below -20 confirms sustained downside momentum — sellers are firmly in control across the market.
We do not chase the first sudden price move. Entries are only considered when the market demonstrates persistence, not impulse.
🔷 Half Shift Oscillator (HSO)
The image above highlights the Half Shift Oscillator (HSO).
The HSO is the FSO’s wingman — faster, more reactive, and designed to catch the earliest signs of strength, weakness, or momentum shifts.
While HSO reacts first, it is not a standalone confirmation of a major momentum change or trade-worthy strength.
Using the same proprietary formula as the FSO but scaled down, the HSO delivers smooth, balanced short-term momentum analysis. It is more responsive than the FSO, serving as the scout that spots potential setups before the main signal confirms.
The Key Upside Level for the FSO is +4, while the Key Downside Level is -4.
🔷 PlayBook Strategy: Shift Sync
Shift Sync is a momentum alignment play that triggers when short-term and mid-term momentum lock into the same direction, signaling strong directional control.
🔹 UpShift Sync – Bullish Alignment
HSO > +4 – Short-term momentum is firmly bullish.
FSO > +20 – Mid-term momentum confirms the bullish bias.
When both thresholds are met, buyers are in control and price is primed for continuation higher.
🔹 DownShift Sync – Bearish Alignment
HSO < -4 – Short-term momentum is firmly bearish.
FSO < -20 – Mid-term momentum confirms the bearish bias.
When both thresholds are met, sellers dominate and price is primed for continuation lower.
Execution:
Look for an entry opportunity in the direction of the alignment when conditions are met.
Avoid choppy conditions where alignment is frequently lost.
Why It Works
Think of the market as a tug-of-war between traders on different timeframes. Short-term traders (captured by the HSO) are quick movers — scalpers, intraday players, and algos hunting immediate edge. Mid-term traders (captured by the FSO) are swing traders, funds, and institutions who move slower but carry more weight.
Most of the time, these groups pull in opposite directions, creating chop and fakeouts. But when they suddenly lean the same way, the rope gets yanked hard in one direction. That’s when momentum has the highest chance to drive price further with minimal resistance.
Shift Sync works because it isolates those rare moments when multiple market “tribes” agree on direction — and when they do, price doesn’t just move, it flies.
Best Market Conditions
Shift Sync works best when the higher timeframe trend (daily, weekly, or monthly) is moving in the same direction as the alignment. This higher timeframe confluence increases follow-through potential and reduces the likelihood of false moves.
The image above shows an example of an UpShift Sync signal where the momentum table shows that the 1D momentum is bullish.
The image above shows bonus confluence, where the 1M and 1W momentum are also bullish.
The image above shows an example of a DownShift Sync signal where the momentum table shows that the 1D momentum is bearish. Bonus confluence also exists, where the 1W and 1M chart are also bearish.
Common Mistakes
Chasing late signals – Avoid entering if the Shift Sync trigger has been active for a long time. Instead, wait for a Shift Sync Pullback to look for opportunities to join in the direction of the trend.
Ignoring higher timeframe bias – Taking Shift Sync setups against the daily, weekly, or monthly trend reduces follow-through potential and increases the risk of a failed move.
🔷 Micro Shift Oscillator (MSO)
The image above highlights the Micro Shift Oscillator (MSO)
The MSO is the finishing touch to the FSO and HSO — the fastest and most reactive of the three. It’s built to spot pullback opportunities when the FSO and HSO are aligned, helping traders join strong price moves at the right time.
The MSO may reveal the earliest signs of a momentum shift, but that’s not its primary role. Its purpose is to identify retracement and pullback opportunities within the overarching trend, allowing traders to join the move while momentum remains intact.
🔷 Playbook Strategy: Shift Sync Pullback
Key Levels:
MSO Upside Trigger: +3
MSO Downside Trigger: -3
🔹 UpShift Pullback
Momentum Confirmation:
FSO > +20 – Mid-term momentum is strongly bullish.
HSO > +4 – Short-term momentum confirms alignment with the FSO.
Pullback Trigger:
MSO ≤ -3 – Signals a short-term retracement within the ongoing bullish trend and marks the earliest re-entry opportunity.
Entry Zone:
The blue arrow on the top chart shows where momentum remains intact while price pulls back into a zone primed for a move higher.
Setup Validity: Both FSO and HSO must remain above their bullish thresholds during the pullback.
Invalid Example:
If either the FSO or HSO drop below their bullish thresholds, momentum alignment breaks. No trade is taken.
🔹 DownShift Pullback
Momentum Confirmation:
FSO < -20 – Mid-term momentum is strongly bearish.
HSO < -4 – Short-term momentum aligns with the FSO, confirming seller dominance.
Pullback Trigger:
MSO ≥ +3 – Indicates a short-term retracement against the bearish trend, pointing to possible short-entry opportunities.
Entry Zone:
The purple arrow on the top chart marks valid pullback conditions — all three oscillators meet their bearish thresholds, and price is positioned to continue lower.
Setup Validity: Both FSO and HSO must remain below their bearish thresholds during the pullback.
Invalid Example:
If either oscillator rises above the bearish threshold, momentum alignment is lost and the MSO signal is ignored.
Why It Works
Even in strong trends, price rarely moves in a straight line. Supply and demand dynamics naturally create retracements as traders take profits, bet on reversals, or hedge positions.
While many momentum traders fear these pullbacks, they’re often the fuel for the next leg of the move — offering a “second chance” to join the trend at a more favorable price.
The Shift Sync Pullback pinpoints moments when both short-term (HSO) and mid-term (FSO) momentum remain firmly aligned, even as price moves temporarily against the trend. This alignment suggests the retracement is a pause, not a reversal.
By entering during a controlled pullback, traders often secure better entries, tighter stops, and stronger follow-through potential when the trend resumes.
Best Market Conditions:
Works best when the higher timeframe (daily, weekly, or monthly) is trending in the same direction as the pullback setup.
Consistent momentum is ideal — avoid erratic, news-driven chop.
Following a recent breakout (Gate Breaker setup) when momentum is still fresh.
Common Mistakes
Ignoring threshold breaks – Entering when either HSO or FSO dips through their momentum threshold often leads to taking trades in weakening trends.
Trading against higher timeframe bias – A pullback against the daily or weekly trend is more likely to fail; use higher timeframe confluence as a filter.
🔷 Macro Shift Oscillator (MaSO)
The chart above shows the MaSO in isolation.
While the MaSO is not part of any active Kio IQ playbook strategies, it delivers the clearest view of the prevailing macro trend.
MaSO > 0 – Macro trend is bullish. Readings above +4 signal extreme bullish conditions.
MaSO < 0 – Macro trend is bearish. Readings below -4 signal extreme bearish conditions.
Use the MaSO for context, not entries — it frames the environment in which all other signals occur
🔷 Shift Gates – Kio IQ Momentum Barriers
The image above shows UpShift Gates.
UpShift Gates mark the highest price reached during periods when the FSO is above +20 — moments when mid-term momentum is firmly bullish and buyers are in control.
UpShift Gates are upside breakout levels — key swing highs formed before a pullback during periods of strong bullish momentum. When price reclaims an UpShift Gate with momentum confirmation, it signals a potential continuation of the uptrend.
The image above shows DownShift Gates.
DownShift Gates Mark The Lowest Price Reached During Periods When The FSO Is Below -20 — Moments When Mid-Term Momentum Is Firmly Bearish And Sellers Are In Control.
DownShift Gates are downside breakout levels — key swing lows formed before an upside pullback during periods of strong bearish momentum. When price reclaims a DownShift Gate with momentum confirmation, it signals a potential continuation of the downtrend.
🔷 Playbook Strategy: Gate Breakers
Core Rule:
Long signal when price decisively closes beyond an UpGate (for longs) or DownGate (for shorts). The breakout must show commitment — no wick-only tests.
🔹 UpGate Breaker (UpGate)
Trigger: Price closes above the UpShift Gate level.
Bonus Confluence: MaSO > 0 at the moment of the break — confirms that the macro trend bias is in favor of the breakout.
Invalidation: Avoid taking the signal if the gate level forms part of a DownShift Rift (bearish divergence) — this signals underlying weakness despite the break.
The chart above shows valid UpGate Breakers.
The chart above shows an invalidated UpGate Breaker setup.
🔹 DownGate Breaker (DownGate)
Trigger: Price closes below the DownShift Gate level.
Bonus Confluence: MaSO < 0 at the moment of the break — confirms that the macro trend bias is in favor of the breakdown.
Invalidation: Avoid taking the trade if the gate level forms part of an UpShift Rift (bullish divergence) — this signals underlying strength despite the break.
The chart above shows a valid DownGate Breaker.
Why It Works
Key swing levels like Shift Gates attract a high concentration of resting orders — stop losses from traders caught on the wrong side and breakout orders from momentum traders waiting for confirmation.
When price decisively clears a gate with a strong close, these orders trigger in quick succession, creating a burst of directional momentum.
Adding the MaSO filter ensures you’re breaking gates with the prevailing macro bias, improving the odds that the move will continue rather than stall.
The divergence-based invalidation rule (Rift filter) prevents entries when underlying momentum is moving in the opposite direction, helping avoid “fake breakouts” that trap traders.
Best Market Conditions:
Works best in markets with clear trend structure and visible Shift Gates (not during chop).
Strongest when higher timeframe (1D, 1W, 1M) momentum aligns with the breakout direction.
MaSO > 0 for bullish breakouts, MaSO < 0 for bearish breakouts
Most reliable after a period of consolidation near the gate, where pressure builds before the break.
Common Mistakes
Trading wick-only tests – A breakout without a decisive candle close beyond the gate often fails.
Ignoring MaSO bias – Taking a break in the opposite macro direction greatly reduces follow-through odds.
Skipping the Rift filter – Entering when the gate forms part of a divergence setup exposes you to higher reversal risk.
Chasing extended moves – If price is already far beyond the gate by the time you see it, risk/reward is poor; wait for the next setup or a retest.
🔷 Shift Rifts - Kio IQ Divergences
This chart shows an UpShift Rift — a bullish divergence where price action and momentum part ways, signaling a potential trend reversal or acceleration.
Setup:
Price Action: Price is marking lower lows, indicating short-term weakness.
FSO Reading: The Full Shift Oscillator (FSO) is marking higher lows over the same period, showing underlying momentum strengthening despite falling prices.
The rift between price and the FSO suggests selling pressure is losing force while buyers quietly regain control.
When confirmed by broader trend alignment in Kio IQ’s multi-timeframe momentum table, the UpShift Rift becomes a setup for a bullish move.
This chart shows a DownShift Rift — a bearish divergence where price action and momentum split, signaling a potential downside reversal.
Setup:
Price Action: Price is marking higher highs, suggesting continued strength on the surface.
FSO Reading: The Full Shift Oscillator (FSO) is marking lower highs over the same period, revealing weakening momentum beneath the price advance.
The rift between price and momentum signals that buying pressure is fading, even as price makes new highs. This disconnect often precedes a momentum shift in favor of sellers.
When aligned with multi-timeframe bearish signals in Kio IQ’s momentum table, the DownShift Rift becomes a strong setup for downside continuation or reversal.
🔷 Playbook Strategy: Rift Reversal
The Rift Reversal is a divergence-based reversal play that signals when momentum is fading and an trend reversal is likely. It’s designed to catch early turning points before the broader market catches on.
Trader’s Note:
This strategy is not intended for beginners — it requires confidence in reading divergence and trusting momentum shifts even when price action still appears weak. Best suited for traders experienced in managing reversals, as entries often occur before the broader market confirms the move.
🔹 UpRift Reversal
Core Setup:
Price Action – Forms a lower low.
Momentum Rift – The FSO forms a higher low, signaling bullish divergence and weakening selling pressure.
Trigger:
A confirmed UpRift Reversal signal is printed when:
Bullish Divergence is detected — price makes a new low, but the oscillator fails to confirm.
Momentum begins turning up from the divergence low (marked on chart as ⇝)
The image above shows a valid UpRift Reversal play.
🔹 DownRift Reversal
Core Setup:
Price Action – Forms a higher high.
Momentum Rift – The FSO forms a lower high, signaling bearish divergence and weakening buying pressure.
Trigger
A confirmed DownRift Reversal signal is printed when:
Bearish Divergence is detected — price makes a new high, but the oscillator fails to confirm.
Momentum begins turning down from the divergence high (marked on chart as ⇝).
Why It Works
Shift Rifts work because momentum often fades before a price reverses.
Price is the final scoreboard — it reflects what has already happened. Momentum, on the other hand, is a leading indicator of pressure. When the FSO begins to move in the opposite direction of price, it signals that the dominant side in the market is losing steam, even if the scoreboard hasn’t flipped yet.
In an UpShift Rift, sellers keep pushing price lower, but each push has less force — buyers are quietly building pressure under the surface.
In a DownShift Rift, buyers keep marking new highs, but they’re spending more effort for less result — sellers are starting to take control.
These disconnects happen because large participants often scale into or out of positions gradually, creating momentum shifts before price reflects it. Shift Rifts capture those turning points early.
Best Market Conditions:
Best in markets that have been trending strongly but are starting to show signs of exhaustion.
Works well after a prolonged move into key support/resistance, where large players may take profits or reverse positions.
Higher win potential when the Rift aligns with higher timeframe momentum bias in Kio IQ’s multi-timeframe table.
Common Mistakes
Forcing Rifts in choppy markets – In sideways chop, small oscillations can look like divergences but lack conviction.
Ignoring multi-timeframe bias – Trading an UpShift Rift when higher timeframes are strongly bearish (or vice versa) reduces follow-through odds.
Entering too early – Divergences can extend before reversing; wait for momentum to confirm a turn (⇝) before making a trading decision.
Confusing normal pullbacks with Rifts – Not every dip in momentum is a divergence; the Rift requires a clear and opposing trend between price and FSO.
🔷 Shift Count – Momentum Stage Tracker
Purpose:
Shift Count measures how far a bullish or bearish push has progressed, from its first spark to potential exhaustion.
It tracks momentum in defined steps so traders can instantly gauge whether a move is just starting, picking up steam, fully extended, or at risk of reversing.
How It Works
Bullish Momentum:
Start (1–2) → New momentum emerging, early entry window.
Acceleration (3–4) → Momentum in full swing, best for holding or adding to a position.
Extreme Bullish Momentum / Final Stages (5) → Watch for signs of reversal or take partial profits.
Exhaust – Can only occur after 5 is reached, signaling that the rally may be losing steam.
Bearish Momentum:
Start (-1 to -2) → New selling pressure emerging.
Acceleration (-3 to -4) → Bear trend accelerating.
Extreme Bearish Momentum / Final Stages (-5) → Watch for reversal or scale out.
Exhaust – Can only occur after -5 is reached, signaling that the sell-off may be running out of force.
The chart above shows a full 5-UpShift count.
The chart above shows a full 5-DownShift count.
Why It’s Useful
Markets often move in momentum “steps” before reversing or taking a breather.
Shift Count makes these steps visible, helping traders:
Spot the early stages of a potential move.
Identify when a move is picking up steam.
Identify when a move is mature and vulnerable to reversal.
Combine with other Kio IQ strategies for better-timed entries and exits.
Why This Works
It’s visually obvious where you are in the momentum cycle without overthinking.
You can build rules like:
Only enter in Start phase when higher timeframe agrees.
Manage positions aggressively once in Acceleration phase.
Be ready to exit or fade in Exhaust phase.
Best Market Conditions
Trending markets where pullbacks are shallow.
Works best when combined with Shift Sync Pullback or Gate Breaker triggers to confirm timing.
Higher timeframe direction confluence.
Common Mistakes
Treating Exhaust as always a reversal — sometimes strong markets push past 5/-5 multiple times.
Ignoring higher timeframe bias — a “Start” on a 1-minute chart against a strong daily trend is much riskier.
🔷 Playbook Strategy: Exhaust Flip
Core idea: When Shift Count reaches 5 (or -5) and then prints Exhaust, momentum has likely climaxed, whether temporarily or leading to a full reversal. We take the first qualified signal against the prior move.
Trader’s Note:
This strategy is not intended for beginners — it requires confidence in trusting momentum shifts even when price action still appears strong. Best suited for traders experienced in managing reversals, as entries often occur before the broader market confirms the move.
🔹 UpExhaust Flip (fade a bullish run)
Setup:
Shift Count hits 5, then an Exhaust print occurs.
Invalidation
The local high is broken to the upside.
The chart above explains the UpExhaust Flip strategy in greater detail.
🔹 DownExhaust Flip (fade a bearish run)
Setup:
Shift Count hits -5, then an Exhaust print occurs.
Invalidation
The local low is broken to the downside.
The chart above explains the DownExhaust Flip strategy in greater detail.
Bonus Confluence (optional, not required)
Rift assist: An UpShift Rift (for longs) or DownShift Rift (for shorts) near Exhaust strengthens the flip.
MaSO context: Neutral or opposite-leaning MaSO helps. Avoid flips straight against a strong MaSO bias unless you have a structure break.
Why It Works
Exhaust marks climax behavior: the prior side has pushed hard, then failed to extend after meeting significant pushback. Liquidity gets thin at the edges; aggressive profit-taking meets early contrarians. A small confirmation (micro structure break or HSO turn) is often enough to flip the tape for a snapback.
Best Market Conditions
After extended, one-sided runs (multiple Shift Count steps without meaningful pullbacks).
Near Shift Gates or obvious swing extremes where trapped orders cluster.
When higher-timeframe momentum is neutral or softening (you’re fading the last thrust of a decisive move, not a fresh trend).
Common Mistakes
Fading too early: Taking the trade at 5 without waiting for the Exhaust.
Fading freight trains: Fighting a fresh Shift Sync in the same direction right after Exhaust (often just a pause).
No structure reference: Entering without a clear micro swing to anchor risk.
🔷 MTF Shift Table
The MTF Shift Table table provides a compact, multi-timeframe view of market momentum shifts. Each cell represents the current shift count within a given timeframe, while the classification label indicates whether momentum is strong, weak, or normal.
The chart above further outlines the MTF Shift Table.
Why It Works
Markets rarely move in a perfectly linear fashion — momentum develops, stalls, and transitions at different speeds across different timeframes. This table allows you to:
See momentum alignment at a glance – If multiple higher and lower timeframes show a sustained shift count in the same direction, the move has greater structural support.
Spot divergences early – A shorter timeframe reversing against a longer-term sustained count can warn of potential pullbacks or trend exhaustion before price confirms.
Identify “momentum stacking” opportunities – When shift counts escalate across timeframes in sequence, it often signals a stronger and more durable move.
Avoid false enthusiasm – A single timeframe spike without agreement from other periods may be noise rather than genuine momentum.
The Trend Score provides a concise, at-a-glance evaluation of an asset’s directional strength across multiple timeframes. It distills complex momentum and Shift data into a single, easy-to-read metric, allowing traders to quickly determine whether the prevailing conditions favor bullish or bearish continuation. The Trend Scale scales from -100 to 100.
How to Use It in Practice
Trend Confirmation – Confirm that your intended trade direction is backed by multiple timeframes maintaining consistent momentum.
Risk Timing – Reduce position size or take partial profits when lower timeframes begin shifting against the dominant momentum classification.
Multi-timeframe Confluence – Combine with other system signals (e.g., FSO, HSO) for higher-probability entries.
This table effectively turns a complex multi-timeframe read into a single, glanceable heatmap of momentum structure, enabling quicker and more confident decision-making.
The MTF Shift Table is the confluence backbone of every playbook strategy for Kio IQ.
🔷 Momentum Meter
The Momentum Meter is a composite gauge built from three of Kio IQ’s core momentum engines:
HSO – Short-term momentum scout
FSO – Mid-term momentum backbone
MaSO – Macro trend context
By combining these three readings, the meter provides the most strict and lagging momentum classification in Kio IQ.
It only flips direction when a composite score of all three oscillators reach defined thresholds, filtering out short-lived counter-moves and false starts.
Why It Works
Many momentum tools flip too quickly — reacting to short-lived spikes that don’t represent real directional commitment. The Momentum Meter avoids this by requiring alignment across short, mid, and macro momentum engines before it shifts bias.
This triple-confirmation rule filters out noise, catching only those moments when traders of all speeds — scalpers, swing traders, and long-term participants — are leaning in the same direction. When that happens, price movement tends to be more sustained and less prone to immediate reversal.
In other words, the Momentum Meter doesn’t just tell you “momentum looks good” — it tells you momentum looks good to everyone who matters, across all horizons.
How It Works
Blue = All three engines align bullish.
Pink = All three engines align bearish.
The meter ignores smaller pullbacks or temporary oscillations that might flip the faster indicators — it waits for total alignment before changing state.
Because of this strict confirmation requirement, the Momentum Meter reacts slower but delivers higher-conviction shifts.
How to Interpret Readings
Blue (Bullish Alignment):
Sustained buying pressure across short, mid, and macro views. Often marks the “full confirmation” stage of a move.
Pink (Bearish Alignment):
Sustained selling pressure across all views. Confirms sellers are in control.
Practical Uses
Trend Followers – Use as a “stay-in” confirmation once a position is already open.
Swing Traders – Great for filtering out low-conviction setups; if the Momentum Meter disagrees with your intended direction, conditions aren’t fully aligned.
Confluence and Direction Filter – The Momentum Meter can be used as a form of confluence i.e. blue = longs only, pink = shorts only.
Limitations
Will always turn after the faster oscillators (HSO/MSO). This is intentional.
Works best in trending markets — in choppy conditions it may lag shifts significantly.
Should be used as a bias filter, not a standalone entry signal.
🔷 Trend Strength Meter
The Trend Strength Meter is a compact visual gauge that scores the current trend’s strength on a scale from -5 to +5:
+5 = Extremely strong bullish trend
0 = Neutral, no clear trend
-5 = Extremely strong bearish trend
This is an optional tool in Kio IQ — designed for quick reference rather than as a primary trading trigger.
Why it works
Single-indicator trend reads can be misleading — they might look strong on one metric while quietly weakening on another. The Trend Strength Meter solves this by blending multiple inputs (momentum alignment, structure persistence, and multi-timeframe data) into one composite score.
This matters because trend health isn’t just about direction — it’s about persistence. A +5 or -5 score means the market is not only trending but holding that trend with structural support across multiple timeframes.
By tracking both direction and staying power, the Trend Strength Meter flags when a move is at risk of fading before price action fully confirms it — giving you a head start on adjusting your position or taking profits.
How It Works
The Trend Strength Meter evaluates multiple market inputs — including momentum alignment, price structure, and persistence — to assign a numeric value representing how firmly the current move is holding.
The scoring logic:
Positive values indicate bullish conditions.
Negative values indicate bearish conditions.
Higher magnitude (closer to ±5) = stronger conviction in that direction.
Values near zero suggest the market is in a transition or range.
How to Interpret Readings
+4 to +5 (Strong Up) – Trend is well-established, often with multi-timeframe agreement.
+1 to +3 (Up) – Bullish bias present, but not at maximum conviction.
0 (Neutral) – No dominant trend; could be consolidation or pre-shift phase.
-1 to -3 (Down) – Bearish bias present but moderate.
-4 to -5 (Strong Down) – Trend is firmly bearish, with consistent downside momentum.
Why It Works
A single timeframe or momentum reading can give a false sense of trend health.
The Trend Strength Meter aggregates multiple layers of market data into one simplified score, making it easy to see whether a move has the underlying support to continue — or whether it’s more likely to stall.
Because the score considers both direction and persistence, it can flag when a move is losing strength even before price structure fully shifts.
🔷 Kio IQ – Supplemental Playbook Strategies
These phases are part of the Kio IQ Playbook—situational tools that can help you anticipate potential momentum changes.
While they can be useful for planning and tactical adjustments, they are not primary trade triggers and should be treated as early, lower-conviction cues.
🔹 1. Scouting Phase (Light Early Cue)
Purpose: Provide the earliest possible hint that momentum may be shifting.
Upshift Trigger: FSO crosses above the 0 line.
Downshift Trigger: FSO crosses below the 0 line.
Why It Works
The 0 line in the Full Shift Oscillator (FSO) acts as a neutral momentum boundary.
When the FSO moves above 0, it suggests that medium-term momentum has shifted to bullish territory.
When it moves below 0, it suggests that medium-term momentum has shifted to bearish territory.
This crossover is often the first measurable sign of a momentum reversal or acceleration, well before slower indicators confirm it.
Think of it as "momentum poking its head above water"—you’re spotting the change before it becomes obvious on price alone.
Best Use
Works best when confirmed later by Lookout Phase or other primary Kio IQ signals.
Ideal for scouting in anticipation of potential opportunities.
Helpful when monitoring multiple assets and you want a quick filter for shifts worth watching.
Can act as a trade trigger when the MTF Shift Table shows confluence (i.e., UpShift Scouting Signal + Bullish MTF Table + High Trend Strength Score).
Common Mistakes
Acting on Scouting Phase signals against the MTF Shift Table as a stand-alone trade trigger. Without higher timeframe alignment or additional confirmation, many Scouting Phase crossovers can fade quickly or reverse, leading to premature entries.
Ignoring market context
A bullish Scouting Phase in a strong downtrend can easily fail.
Always check higher timeframe trend alignment.
Overreacting to noise: On lower timeframes, small fluctuations can create false scouting signals.
Best Practices
Filter with trend: Only act on Scouting Phases that align with the dominant higher timeframe trend.
Watch volatility: In low-volatility conditions, false scouting triggers are more likely.
🔹 2. Lookout Phase (Early Momentum Alert)
Purpose:
The Lookout Phase signals an early alert that momentum is potentially strengthening in a given direction. It’s more meaningful than the Scouting Phase, but still considered a preliminary cue.
Triggers:
Upshift: FSO crosses above the HSO.
Downshift: FSO crosses below the HSO.
Why It Works:
The Lookout Phase is designed to identify moments when mid-term momentum (FSO) overtakes short-term momentum (HSO). Since the FSO is smoother and reacts more gradually, its crossover of the faster-reacting HSO can indicate a shift from short-lived fluctuations to a more sustained directional move.
This makes it a valuable early read on momentum transitions—especially when supported by higher-timeframe context.
Best Practices:
Always check the MTF Shift Table for higher-timeframe alignment before acting on a Lookout Phase signal.
Look for confluence with the Momentum Meter
Treat Lookout Phase entries as probing positions—small, exploratory trades that can be scaled into if follow-through develops.
Common Mistakes:
Treating Lookout Phase signals as a definitive trade trigger without context
Entering solely on a Lookout Phase crossover, without considering the MTF Shift Table or broader market structure, can result in chasing short-lived momentum bursts that fail to follow through.
Ignoring prevailing higher-timeframe momentum
Trading a Lookout Phase signal that is counter to the dominant trend or higher-timeframe bias increases the risk of whipsaws and false moves.
🔶 Summary
Kio IQ is an all-in-one trading indicator that combines momentum, trend strength, multi-timeframe analysis, divergences, pullbacks, and exhaustion alerts into a clear, structured view. It helps traders cut through market noise by showing whether a move is strong, weak, a trap, or simply part of a larger trend. With tools like the Full Shift Oscillator, Multi-Timeframe Shift Table, Shift Gates, and Rift Divergences, Kio IQ simplifies complex market behavior into easy-to-read signals. It’s designed to help traders spot early shifts, align with momentum, and recognize when trends are building or losing steam—all in one place.
MTF Volume Flow IndicatorThe MTF Volume Flow Indicator (MTF VFI) is an advanced and versatile tool that enhances market analysis by tracking the flow of volume across multiple timeframes. By integrating volume flow with multi-timeframe analysis, this indicator provides traders with a comprehensive understanding of market trends, momentum, and potential reversals.
Key Features
Multi-Timeframe Volume Flow Analysis: The MTF VFI computes the Volume Flow Indicator across various timeframes, ranging from 1 minute to 1 month. This multi-timeframe analysis enables traders to observe and compare volume flow dynamics across different time horizons, offering deeper insights into market behavior.
Customizable VFI Settings: The indicator includes configurable VFI parameters such as length, coefficient, and volume cutoff, allowing users to tailor the analysis to different market conditions and trading strategies. This flexibility ensures that the indicator remains relevant across diverse market environments.
Signal Line and Delta Calculations: The script features a signal line derived from the VFI and calculates the delta values (the difference between VFI and the signal line). These delta values are essential for identifying potential buy or sell signals and are presented as histograms for easy visual interpretation.
Cumulative Delta with Dynamic Bands: The indicator introduces cumulative delta, a powerful tool that combines average and median VFI values to provide a clearer picture of market sentiment. Two standard deviation bands are plotted around the cumulative delta, offering a range within which price movements are likely to remain. These bands are smoothed using a 21-period EMA, providing a more refined view of market volatility.
Multi-Timeframe and Analysis Tables: The MTF VFI includes optional tables that display VFI, signal line, and delta values across all selected timeframes. Additionally, an analysis table presents key statistical metrics such as the highest, lowest, average, standard deviation, range, and median VFI values. These tables provide a concise summary of market conditions, aiding in strategic decision-making.
Dynamic Display Options: The indicator offers extensive customization options, allowing traders to display or hide elements such as delta histograms, delta bands, and tables. This ensures that users can focus on the most relevant information for their trading strategy.
Neutral Candle Coloring Option: Traders can enable neutral candle colors, where bearish candles are gray and bullish candles are white. This feature helps to reduce noise and maintain focus on the overall trend and volume flow analysis.
How It Works
Volume Flow Indicator Calculation: The VFI is calculated using a combination of typical price, volume, and the standard deviation of price changes. The indicator smooths the VFI based on user preferences, allowing traders to adjust the sensitivity of the analysis to better match their trading style.
Multi-Timeframe Integration: The script pulls VFI calculations from multiple timeframes, providing a holistic view of market trends. By analyzing VFI across different timeframes, traders can detect alignments or divergences in volume flow that might indicate trend strength or weakness.
Cumulative Delta and Dynamic Bands: The cumulative delta is computed by combining the average and median VFI values. Dynamic two-standard-deviation bands are plotted around this cumulative delta, providing upper and lower bounds for expected price movements. These bands are further smoothed with a 21-period EMA, enhancing their effectiveness in volatile markets.
Delta Analysis and Histogram Display: The difference between the VFI and its signal line (delta) is calculated and displayed as histograms. This visual representation helps traders quickly assess momentum and identify potential reversals or trend continuations. The cumulative delta is color-coded dynamically based on its direction, adding an extra layer of visual clarity.
Alerts
VFI Crossover Alerts: The indicator includes customizable alerts that notify traders when the VFI crosses above or below its signal line. These alerts are crucial for catching potential trend reversals or continuation signals, even when the trader is not actively monitoring the chart.
Customizable Alert Conditions: Traders can tailor alert conditions to their preferred timeframes and VFI settings, ensuring that the notifications they receive are relevant and timely for their specific trading strategies.
Application
Trend Identification and Confirmation: The MTF VFI aids in identifying and confirming trends by analyzing volume flow across multiple timeframes. This capability is particularly useful for detecting trends that may not be visible on a single timeframe.
Momentum and Divergence Analysis: By comparing VFI and delta values across timeframes, and analyzing cumulative delta with dynamic bands, traders can gain insights into market momentum and potential divergences, which are often precursors to reversals.
Strategic Decision-Making: With its comprehensive multi-timeframe analysis, cumulative delta, and statistical summaries, the MTF VFI equips traders with the information needed to make informed trading decisions, whether for short-term trades or long-term investments.
Visual Clarity and Customization: The indicator’s dynamic display options and neutral candle coloring help traders maintain a clear and focused view of the market, customizing the visualization to match their specific needs.
The MTF Volume Flow Indicator (MTF VFI) by CryptoSea is an essential tool for traders who seek to gain a deeper understanding of market trends and volume dynamics across multiple timeframes. Its advanced features and customization options make it a valuable addition to any trader’s toolkit.
Smart Money Concepts (SMC)Introductions:
Before explaining the functions of this indicator to you, we need to talk about what theoretical knowledge we need to have. Many different price approaches have been developed over the decades with different analysis methods and are still evolving. Some theories used in classical trend analysis methods are interpreted or blended with different perspectives over time and we try to make more successful analyses by having a consistent market reading strategy. While analyzing the classical market structure with the price action method, some issues that are missing and do not fit into place are brought to light with a higher level analysis method known as the smart money concept.
As a result of the research and developments we have done on this subject from many different sources for a long time, I personally think that the most efficient and logical concept is the smart money concept. Of course, no matter which method we use, acting within a risk management and remaining strictly loyal to our conditions should be our first priority so that we can talk about sustainable success in the market. In light of all this, we decided to make an indicator of this concept, which we believe is consistent.
In order to analyze the market structure correctly, we must first draw fractal structures and interpret them correctly. Because the market consists of fractal structures. Regardless of the technique, if we cannot draw fractals correctly or if we make an incorrect interpretation while determining them, our market structure analysis may also be incorrect.
Instead of manually identifying fractal structures, script writers often choose the following method for ease of use; They leave the number of candles to the user's choice, detect the highest and lowest points among x number of candles, and draw fractal structures accordingly, but in fact this is not an accurate detection method. In the visual I have prepared below, you can see how the correct fractal structures should be drawn. Fractal structures should be made based on the previous and next candle levels, not from a certain group of candles.
To identify market structures, we make an interpretation based on these fractal movements.
While classic market structure analysis with traditional price action follows a relatively simpler path as shown in the example below, this situation is a bit more detailed in the smart money concepts.
To explain the situation in the smart money concept in an easily understandable way, it is as follows; imagine an uptrend that progresses by creating levels HH and HL, when the price creates a new HL, we call this point as inducement and we move this level up as each new HL is formed. When drawing structures in this way, when the price falls below the inducement level, the peak is confirmed. To explain it with a different approach, the price must first get liquidity from these last rising bottoms in order to make a break of structure (BOS). The break of structure occurs when the price passes the approved peak. When BOS occurs, the lowest point between this point and the previous peak is defined as the Swing Low and this is the level that needs to be protected in uptrend. When BOS occurs, the last HL point that made this BOS is also defined as inducement and it continues to move as new HL is formed until the new peak is confirmed. If the price somehow "closes" below the Swing Low point that needs to be protected, CHOCH (change of character) has occurred and the trend direction has changed. After CHOCH, we start applying the same logic for the downtrend, the last LH peak formed after is defined as inducement and as the fractal structure continues downward, this level is also carried as the inducement level until the Swing Low level is determined. An important note is; In order for BOS and CHOCH to be valid, "a closing must definitely occur". If it remains in the form of a wick, we call it a liquidity sweep and the end point of this wick is updated as the point where we need to look for a closing in order to be able to say that the BOS or CHOCH level is determined. By the way, We call these liquidity sweep points as "x" in the indicator.
It may be easier to explain this topic with a few sample images that I have shared below.
The thing to consider in the smart money concept is that if you are going to take a long trade in an uptrend, you should wait for the price to fall below the inducement level or if you are going to take a short trade in a downtrend, you should wait for the price to rise above the inducement level and only then look for suitable structures, order flows, order blocks, price gaps and other structures before this are considered traps in this concept. I have some strategies that I personally apply, but since these are my personal preferences, I do not find it right to share them here in order not to affect your opinions, but I am basically careful to act as I stated above.
While preparing this script, we paid attention to the fact that it can be interpreted with a real human eye, provides ease at the speed of machine language and can work extremely flawlessly.
From the first moment we started preparing the script, we went through a long and seriously laborious preparation process that lasted months until now, which we happily share.
We brought this code to life by putting on the table almost everything the user may want in terms of both flawlessly fulfilling the conditions specified by the concept and convenience.
If we touch on the function of the code in order, our code finds the following;
It perfectly identifies the fractals that form the basis of the market structure, within the framework of the rules that I mentioned above, we taught to the script.
According to smart money concepts, as I explained in detail above, it provides great convenience in this regard by skillfully identifying the direction of the market in the time period you are in, rather than traditional methods.
In addition to identifying the direction of the market, it also detects the direction changes taking place in the internal structure. Indicator tries to detect even the slightest direction changes by making a stricter interpretation while determining the trend and bottom-top points in the internal structure. Theoretically, it determines the top point in a downward fractal breakout, and marks the bottom point in an upward fractal breakout.
In this context, it also uniquely identifies the candle flow direction and we can observe it on the table. I explained this issue in the first image about fractal determination, you can read that part again.
When you identify swing structures correctly, you will also determine the area you need to focus on, and we have also included this in the script.
Another one of our favorite features on the chart is that it can show active swing areas live by following the BOS, CHOCH and Inducement lines. So, I believe that this gives it a more professional appearance.
In the light of all these functions, it provides great ease of use while presenting data on the direction of the market in a table not only in the current time frame but also in 6 different time frames that the user can choose according to his/her preference, including seconds timeframes (1 sec., 5 sec., 15 sec., 30 sec. etc.)
In order to speed up the user, it instantly informs the selected parity and all structural changes (Bos, Choch, Inducement, Liquidity Sweeps etc.) that occur on the market structure of this timeframe by setting a single alarm.
In the settings window, you will find the following settings that we have personalized for you:
Main Options;
Fractal Lines box: You can check this box to see whether the fractals that form the basic interpretation structure of the indicator are visible or not.
Swing Lines box: You can use this box to turn on or off the Bos, Choch, Inducement and Liquidity Sweeps lines, which are the main elements of the market structure.
Internal Structures box: You can check this box to observe the H and L points in the internal structure of the graph and therefore the direction in the internal structure.
Live Bos / Choch / Inducement Lines box: You can turn on / off the visibility of the lines belonging to the current and active Bos, Choch and Inducement levels on the chart.
Range Lines box: You can use it to turn on / off the visibility of range lines drawn between the active Swing high and Swing low points on the chart.
Multitimeframe Tables box: It allows you to open and close the table where you can observe the main trend direction of the current parity on the screen, its internal structure and the candle flow direction in 6 different time frames.
Fractal Settings;
In this section, you can choose the colors, style and thickness of the fractal lines as you wish.
Swing Settings;
In this section you can choose the colors of the Swing High and Swing Low points, their shape and size.
Likewise, you can choose the colors, line style, thickness and text size of Bos and Choch lines for bullish and bearish situations.
There are also settings where you can choose the colors, style, line thickness and text size of the Liquidity Sweep and Inducement lines.
Internal Swing Settings;
In this section, you can determine the colors of the High and Low points detected in the internal structure and select the label size, style and thickness of the direction change lines.
Live BOS / CHOCH / IDM Lines;
In this section, you can select the colors, label sizes, line style and thickness of the bos, choch and inducement lines that show the important levels followed in the current status of the chart.
Range Settings;
As mentioned above, you can choose the color, style, thickness of the range lines drawn between the active swing high and swing low points and the size of the price tags of these levels.
Multitimeframe Table Settings;
In this section, there are settings boxes for 6 selectable timeframes, 9 different position alternatives where you can change the position of the table, and a section where you can find 2 different options to express the directions in the table. In addition to these, you will also be able to choose the background color of the table and the color of the text used to express the directions in the table.
We hope that this script will reach a wide audience by becoming a tool that will be used with pleasure and indispensable, while providing convenience to all users, as we have dreamed of and expected from the first moment we started writing it.
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for the documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. We are not responsible for any losses you may incur. Please invest wisely.
Best regards and enjoy it.
Bias AnalyzerName: Bias Analyzer
Category: Market Analyzer
Timeframe: 1H and 1D, depending on the Analysis type.
Technical Analysis: Usually when we think about a Trading System we start from an idea. This idea comes normally from observation and the study of the market.
Have we ever observed a market - for example Bitcoin - and thought that it increases at the start of a USA session? Great, this is a well-known category of Trading System and the purpose of the Bias Analyzer is to study these phenomena.
There are different types of Trading System that we can classify considering the market in-efficiency that we use to our advantage. In this case we make the Bias. Literally "inclination" or "presupposition" or precisely "tendency" of the price to go up or down in a temporal way.
The characteristics of the Bias depend on how much the Bias is persistent on the market since the analysed period. therefore we can consider:
Hourly Bias : analysing the hourly behaviours during the week. Trades normally last from a few hours to a few days.
Seasonal Bias : analysing the behaviour of the weeks in the monthly or annual context, evaluating the seasons.
Suggested usage: The possibilities of the tool are infinite, these are some scenarios of use:
Development of Intraday Trading Systems based on Hourly Bias with possible filters for specific days of the week.
Development of a Multi-day Trading System based on daily Bias with monthly analysis.
To identify the best day to execute our investment through Dollar Cost Average with a bit of healthy buy the dip
Main features:
Hourly Summary organized in Week
The cells contain the sum of the various price deltas for the single hour. The transparency indicates the frequency in which the candles close positive or negative. This information is available both in a synthetic way, as in the first column "Sum", and for each day of the week.
Hourly Details organized in different entry/exit
Shows the cumulative data of the various deltas, considering the purchase and the sale at certain times. In the rows are represented the buying hours and in the columns the selling hours.
Daily Summary organized in Months
The cells contain the summation of the various price deltas for the single day.
Hourly Details organized in different entry/exit
Allows to visualise the detailed analysis table, choosing to do it for all the months or for a specific month and shows the cumulative data of the various deltas, considering the purchase and the sale in certain days.
Configuration: You can configure the tool easily and completely.
Analysis
Calculate from Close to Open : this is the core of the whole analysis where the "Price Delta" to be calculated is defined. At this moment there is the possibility to calculate the distance between opening and closing.
Calculate in Percent or Cash : this allows to calculate the Price Delta in Percent or in Cash.
Analysis on 1H Timeframe
Show Hourly Summary on : allows to visualise the summary analysis table of the week. The cells contain the sum of the various price deltas for the single hour. The transparency indicates the frequency in which the candles close positive or negative. This information is available both in a synthetic way, as in the first column "Sum", and for each day of the week. At the bottom left there is also data which allows us to understand how many candles are being analysed. At the bottom of each day it is possible to visualise the cumulative data of the day. The position of the table is customizable.
Show Hourly Details of on : allows to visualise the detailed analysis table, choosing to do it for all days or for a specific day, and shows the cumulative data of the various deltas, considering the purchase and the sale at certain times. In the rows are represented the buying hours and in the columns the selling hours. For example, going to the table "All Days" we can see in the cell of row 13 and in column 22 the cumulative data of a possible buy on 13 and a sell at the end of 22. To facilitate the research of the values there is a configurable transparency system.
Analysis on 1D Timeframe
Show Daily Summary on : allows to visualise the summary analysis table of the month. The cells contain the summation of the various price deltas for the single day: The first row is the summation of all days of the month for all months in the analysis period, while the other rows represent the analysis for the various days of the individual months.
Show Daily Details of on : allows to visualise the detailed analysis table, choosing to do it for all the months or for a specific month and shows the cumulative data of the various deltas, considering the purchase and the sale in certain days. In the rows are represented the buying days and in the columns the selling days. For example, going to the table "All Months" we can see in the cell at row 1 and at column 3 the cumulative of a possible purchase on the 1st and the sale on the 3rd. To facilitate the research of the values, there is a configurable transparency system.
Table Layout
Size : allows to define the size of the text in the table.
Precision : it is possible to define the decimal precision of the calculations presented in the tables.
Transparency Factor : allows the application of a multiplication factor when the table calculates the transparency of detail tables.
Colours : allows to specify the colours of Profit, Loss and Neutral, besides to adapt a style coherent with the Dark Mode or Light Mode of Trading View
Volatility Filter
It is possible to directly apply a filter to the time series on which the delta is calculated. The volatility filter uses the ATR - an indicator that allows you to calculate the volatility in a given period. Briefly: the higher the ATR value, the higher the volatility. Therefore the filter works by comparing the volatility on two periods and indicates compression or expansion.
Backtest Dates
In order to facilitate the identification of in-sample and out-of-sample data, as well as the degradation of a given behaviour, it is possible to specify a period in which to do the analysis.
Thiru TimeCyclesThiru TimeCycles Indicator: Overview and Features
Based on the provided Pine Script code (version 6), the "Thiru TimeCycles" indicator is a comprehensive, customizable tool designed for intraday traders, particularly those following Smart Money Concepts (SMC), ICT (Inner Circle Trader) methodologies, and time-based cycle analysis. It overlays session-based boxes, lines, and labels on charts to highlight key trading windows, ranges, and structural levels. The indicator is timezone-aware (default GMT-4, e.g., New York time) and focuses on killzones (high-volatility sessions), Zeussy-inspired 90-minute macro cycles, and 30-minute sub-cycles. It's optimized for timeframes below 4H, with automatic hiding on higher timeframes like 1D, 1W, 1M, or 1Y.
This indicator is ideal for forex, indices (e.g., Nasdaq futures like MNQ1!), stocks, and commodities, helping traders identify order flow, liquidity zones, and potential reversals within structured time cycles. It's built by Thiru Trades and includes educational elements like range tables and watermarks for a professional setup.
Core Purpose
Time Cycle Visualization: Breaks the trading day into repeatable cycles (e.g., 30-min, 90-min, and larger sessions) to anticipate market behavior, such as accumulation, manipulation, and distribution (AMD) phases.
Session Highlighting: Draws boxes and lines for major sessions (Asia, London, NY AM/PM, Lunch, Power Hour) to focus on high-probability "killzones."
Range and Pivot Analysis: Tracks highs/lows, midpoints, and ranges for each cycle/session, with optional alerts for breaks.
Customization Focus: Extensive inputs for colors, transparency, labels, and limits, making it adaptable for scalping, day trading, or swing setups.
Performance: Limits drawings to prevent chart clutter (e.g., max 500 boxes/lines/labels), with cutoff times to stop extensions (e.g., at 15:00).
Key Features
Here's a breakdown of the indicator's main components and functionalities, grouped by category:
Killzone Sessions (Standard Trading Windows):
Sessions Included: Asia (18:00-02:31), London (02:30-07:01), NY AM (07:00-11:31), Lunch (12:00-13:01), NY PM (11:30-16:01), Power Hour (15:00-16:01).
Visualization: Semi-transparent boxes (95% transparency default) with optional text labels (e.g., "London", "NY AM").
Pivots and Midpoints: Optional high/low pivot lines (solid style, extend until mitigated or cutoff), midpoints (dotted), and labels (e.g., "LO.H" for London High).
Alerts: Break alerts for pivots (e.g., "Broke London High").
Range Table: Optional table showing current and average ranges (over 5 sessions) for each killzone, positioned at top-right (customizable size/position).
Zeussy 90-Minute Macro Time Cycles:
Inspired By: Zeussy's time cycle theory (from X/Twitter), dividing sessions into 90-min phases starting at 02:30 NY time.
Cycles Included:
London: A (02:30-04:01, blue), M (04:00-05:31, red), D (05:30-07:01, green).
NY AM: A (07:00-08:31, blue), M (08:30-10:01, red), D (10:00-11:31, green).
NY PM/Lunch: A (11:30-13:01, blue), M (13:00-14:31, red), D (14:30-16:01, green).
Visualization: Boxes (90% transparency) with optional small labels ("London A", etc.) at the top of each box.
Extensions: High/low lines extend until broken or cutoff; optional equilibrium (EQ) levels.
Benefits: Helps identify AMD phases within larger sessions; focus on NY AM/PM for best results (Asia/London for global traders).
Zeussy 30-Minute Sub-Cycles:
Sub-Division: Further breaks 90-min cycles into 30-min segments (e.g., London A: A1 02:30-03:01, A2 03:00-03:31, A3 03:30-04:01).
All Sub-Cycles: 18 total (3 per macro cycle across London A/M/D, NY AM A/M/D, NY PM A/M/D).
Visualization: Optional boxes (90% transparency, hidden text by default) with small labels (e.g., "A1", "M1") at the bottom.
Customization: Separate show/hide toggle and label size (default "Small"); can divide further into 10-min if needed via presets.
Use Case: For finer granularity in scalping; shows order flow within macros (e.g., support at previous low after break).
Day Range Divider:
Vertical Separators: Dotted lines (custom color/width/style) at midnight (00:00) for each trading day (Mon-Fri only).
Day Labels: Monday-Friday labels (e.g., "Monday" with letter-spacing) positioned at the top of the chart (0.1% above high, updated dynamically).
Limits: Up to 5 days (customizable); hides on timeframes >=4H (1D, 1W, 1M, 1Y) to avoid clutter.
Offset: Labels above day-high by ticks (default 20); no weekend labels.
Fix Applied: Labels now consistently at top (using high * 1.001 for y-position); removed middle adjustments.
Day/Week/Month (DWM) Levels:
Opens, Highs/Lows, Separators: Lines for daily/weekly/monthly opens (dotted), previous highs/lows (solid), and vertical separators.
Unlimited Mode: Optional to show all history (otherwise limited by max_days).
Alerts: For high/low breaks (e.g., "Hit PDH").
Labels: Optional "D.O", "PWH" (previous week high), etc., with right-side extension.
Opening Prices and Vertical Timestamps:
Custom Opens: Up to 8 user-defined session opens (e.g., DC Open 18:00, 00:00, 09:30) with horizontal lines (dotted).
Vertical Lines: Up to 4 timestamps (e.g., 17:00, 08:00) with extend-both.
Unlimited: Optional to ignore drawing limits.
Range and Statistics Table:
Display: Top-right table (custom position/size) showing current range, average range (over 5 sessions), and min days stored for all enabled killzones/cycles.
Color-Coded: Rows highlight active sessions (e.g., Asia row in purple if active).
Toggle: Show/hide averages; updates on last bar.
Watermark and UI Enhancements:
Custom Watermark: Title ("ㄒ卄丨尺ㄩ"), subtitle ("PATIENCE | COURAGE | WISDOM"), symbol info (ticker + timeframe + date), positioned top-center/bottom-left.
Customization: Colors, sizes (tiny to huge), alignment (left/center/right), transparency.
Settings Groups: Organized into Settings, Killzones, Zeussy 90Min, Zeussy 30Min, Day Range Divider, Watermark, Pivots, Range, DWM, Opens, Vertical.
Performance and Limits:
Timeframe Limit: Hides drawings on >=240min (4H); Day Range hides on >=4H.
Drawing Limits: Max 1-5 days per type (boxes, lines, labels); auto-deletes old ones.
Cutoff: Optional stop at 15:00-15:01 for pivots/opens.
Alerts: Pivot breaks, high/low hits; freq once per bar.
Transparency: Separate for boxes (90-95%) and text (20-75%).
