Rotation Phase Signal OnlyHow to Use the “Rotation Phase Signal Only” Script
(Floating Dashboard Version)
This version gives you a clean, unobtrusive way to monitor the market regime and rotation instructions on any chart — whether you’re tracking your dividend ETFs, growth funds, or defensive positions.
✅ What It Does
This script tracks:
SPY:TLT — Stocks vs. Bonds (macro equity trend)
QQQ:XLU — Growth vs. Defensive (sector risk appetite)
It calculates weekly EMAs of these ratios to determine which phase we are in:
Phase Signal Interpretation Reallocation Action
GROWTH Stocks & growth sectors lead Add MTUM, VUN, XMTM / Trim income assets
INCOME Stocks weak, growth holding Add HHIS, HYLD, QQQY / Trim growth
DEFENSIVE Bonds and defensives lead Add HPYT, HPYT.U, ZGLD / Exit most equity
NEUTRAL Mixed or unclear signals Hold / minor rebalancing only
🧱 Key Features of This Version
Feature Description
📊 Floating Table Always visible in the top-right corner of the chart
🔄 Dynamic Updates Adjusts weekly as the regime changes
✅ Use On Any Ticker You can run this on DFN, QQQY, HYLD, etc.
🔔 Built-In Alerts Alerts trigger when the phase changes
🗓️ Weekly Workflow (Suggested)
Open Your Main Chart
Use this on any ticker — your dividend ETFs, growth ETF, or even individual stocks.
Check the Floating Table
PHASE: The current regime (GROWTH, INCOME, DEFENSIVE, or NEUTRAL)
ADD: What ETFs to accumulate
SELL: What ETFs or sectors to trim or rotate out of
Take Action
Rebalance or allocate new capital based on the table guidance.
Set Alerts (Optional)
Click “🔔 Alerts” in TradingView
Set up alerts for when the Phase changes
Example: “Alert me when Phase = DEFENSIVE”
🔔 Example Alert Setup
Click on Alerts
Choose:
Condition: Rotation Phase Signal Only
Value: GROWTH or INCOME or DEFENSIVE
Choose alert type: pop-up, email, webhook, etc.
💡 Pro Tips
Use this alongside your Dividend or Income Dashboards for smarter reinvestment decisions.
Pesquisar nos scripts por "weekly"
Rotation Phase TriggerHow to Use the Full Rotation Phase Trigger Tool (non-floating version)
This version is ideal for macro-level market context, helping you decide when to rotate between growth, income, and defensive positions using visual cues directly on the chart.
🧱 Components Recap (Non-Floating Version)
ROC Histograms:
SPY:TLT ROC (green bars): Measures equity strength vs. bonds
QQQ:XLU ROC (blue bars): Measures growth vs. defensive rotation
EMA Trend Filter:
Uses a fast/slow EMA crossover on both ratios to confirm the trend
When both are rising → confirms GROWTH phase
Phase Background Colors:
🟩 Green = GROWTH
🟧 Orange = INCOME
🟥 Red = DEFENSIVE
No color = NEUTRAL
Instruction Labels:
Show what sectors to add and what to sell (with ETF tickers)
Alert Conditions:
Can be linked to email, SMS, or app notifications
Triggered when phase changes
✅ Weekly Workflow
Every Monday (or Weekend Prep)
1. Open SPY on a Weekly Chart
This tool is designed around the U.S. equity vs bond regime
Always keep SPY as the main chart for best alignment
2. Check the Background Color
Instantly tells you what regime you're in:
Green → rotate into growth ETFs
Orange → stick to or buy income-generating ETFs
Red → get defensive, raise cash, or buy bond/hedge ETFs
3. Read the Labels
Top label = phase status (e.g., GROWTH)
Bottom label = action instructions:
What ETFs to accumulate (MTUM, VUN, HYLD, etc.)
What sectors or funds to rotate out of
4. Look at Momentum Histograms
Confirms whether the regime shift is gaining strength
Larger bars = stronger conviction
Diverging directions? Wait for confirmation
🔁 Tactical Rotation Plan
Phase Add Trim/Sell
GROWTH MTUM, VUN, XMTM, HXS, VTI HYLD, HHIS, HPYT
INCOME HYLD, HHIS, QQQY, DFN, DGS MTUM, VUN
DEFENSIVE HPYT, HPYT.U, ZGLD, GDE All equities
NEUTRAL Nothing new, rebalance if needed Excess risk positions
🔔 Alert Setup (Optional)
You can create alerts in TradingView using:
Right-click chart → "Add Alert"
Use condition: "Rotation Phase Trigger" → "GROWTH" / "INCOME" / "DEFENSIVE"
Choose notification method (popup, app, email, etc.)
💡 Pro Tips
Use this version on SPY weekly only — for best signal clarity
Multi-Timeframe Anchored VWAP Valuation# Multi-Timeframe Anchored VWAP Valuation
## Overview
This indicator provides a unique perspective on potential price valuation by comparing the current price to the Volume Weighted Average Price (VWAP) anchored to the start of multiple timeframes: Weekly, Monthly, Quarterly, and Yearly. It synthesizes these comparisons into a single oscillator value, helping traders gauge if the current price is potentially extended relative to significant volume-weighted levels.
## Core Concept & Calculation
1. **Anchored VWAP:** The script calculates the VWAP separately for the current Week, Month, Quarter (3 Months), and Year (12 Months), starting the calculation from the first bar of each period.
2. **Price Deviation:** It measures how far the current `close` price is from each of these anchored VWAPs. This distance is measured in terms of standard deviations calculated *within* that specific anchor period (e.g., how many weekly standard deviations the price is away from the weekly VWAP).
3. **Deviation Score (Multiplier):** Based on this standard deviation distance, a score is assigned. The further the price is from the VWAP (in terms of standard deviations), the higher the absolute score. The indicator uses linear interpolation to determine scores between the standard deviation levels (defaulted at 1, 2, and 3 standard deviations corresponding to scores of +/-2, +/-3, +/-4, with a score of 1 at the VWAP).
4. **Timeframe Weighting:** Longer timeframes are considered more significant. The deviation scores are multiplied by fixed scalars: Weekly (x1), Monthly (x2), Quarterly (x3), Yearly (x4).
5. **Final Valuation Metric:** The weighted scores from all four timeframes are summed up to produce the final oscillator value plotted in the indicator pane.
## How to Interpret and Use
* **Histogram (Indicator Pane):**
* The main output is the histogram representing the `Final Valuation Metric`.
* **Positive Values:** Suggest the price is generally trading above its volume-weighted averages across the timeframes, potentially indicating strength or relative "overvaluation."
* **Negative Values:** Suggest the price is generally trading below its volume-weighted averages, potentially indicating weakness or relative "undervaluation."
* **Values Near Zero:** Indicate the price is relatively close to its volume-weighted averages.
* **Histogram Color:**
* The color of the histogram bars provides context based on the metric's *own recent history*.
* **Green (Positive Color):** The metric is currently *above* its recent average plus a standard deviation band (dynamic upper threshold). This highlights potentially significant "overvalued" readings relative to its normal range.
* **Red (Negative Color):** The metric is currently *below* its recent average minus a standard deviation band (dynamic lower threshold). This highlights potentially significant "undervalued" readings relative to its normal range.
* **Gray (Neutral Color):** The metric is within its typical recent range (between the dynamic upper and lower thresholds).
* **Orange Line:** Plots the moving average of the `Final Valuation Metric` itself (based on the "Threshold Lookback Period"), serving as the centerline for the dynamic thresholds.
* **On-Chart Table:**
* Provides a detailed breakdown for transparency.
* Shows the calculated VWAP, the raw deviation multiplier score, and the final weighted (adjusted) metric for each individual timeframe (W, M, Q, Y).
* Displays the current price, the final combined metric value, and a textual interpretation ("Overvalued", "Undervalued", "Neutral") based on the dynamic thresholds.
## Potential Use Cases
* Identifying potential exhaustion points when the indicator reaches statistically high (green) or low (red) levels relative to its recent history.
* Assessing whether price trends are supported by underlying volume-weighted average prices across multiple timeframes.
* Can be used alongside other technical analysis tools for confirmation.
## Settings
* **Calculation Settings:**
* `STDEV Level 1`: Adjusts the 1st standard deviation level (default 1.0).
* `STDEV Level 2`: Adjusts the 2nd standard deviation level (default 2.0).
* `STDEV Level 3`: Adjusts the 3rd standard deviation level (default 3.0).
* **Interpretation Settings:**
* `Threshold Lookback Period`: Defines the number of bars used to calculate the average and standard deviation of the final metric for dynamic thresholds (default 200).
* `Threshold StDev Multiplier`: Controls how many standard deviations above/below the metric's average are used to set the "Overvalued"/"Undervalued" thresholds (default 1.0).
* **Table Settings:** Customize the position and colors of the data table displayed on the chart.
## Important Considerations
* This indicator measures price deviation relative to *anchored* VWAPs and its *own historical range*. It is not a standalone trading system.
* The interpretation of "Overvalued" and "Undervalued" is relative to the indicator's logic and calculations; it does not guarantee future price movement.
* Like all indicators, past performance is not indicative of future results. Use this tool as part of a comprehensive analysis and risk management strategy.
* The anchored VWAP and Standard Deviation values reset at the beginning of each respective period (Week, Month, Quarter, Year).
Correlation Heatmap█ OVERVIEW
This indicator creates a correlation matrix for a user-specified list of symbols based on their time-aligned weekly or monthly price returns. It calculates the Pearson correlation coefficient for each possible symbol pair, and it displays the results in a symmetric table with heatmap-colored cells. This format provides an intuitive view of the linear relationships between various symbols' price movements over a specific time range.
█ CONCEPTS
Correlation
Correlation typically refers to an observable statistical relationship between two datasets. In a financial time series context, it usually represents the extent to which sampled values from a pair of datasets, such as two series of price returns, vary jointly over time. More specifically, in this context, correlation describes the strength and direction of the relationship between the samples from both series.
If two separate time series tend to rise and fall together proportionally, they might be highly correlated. Likewise, if the series often vary in opposite directions, they might have a strong anticorrelation . If the two series do not exhibit a clear relationship, they might be uncorrelated .
Traders frequently analyze asset correlations to help optimize portfolios, assess market behaviors, identify potential risks, and support trading decisions. For instance, correlation often plays a key role in diversification . When two instruments exhibit a strong correlation in their returns, it might indicate that buying or selling both carries elevated unsystematic risk . Therefore, traders often aim to create balanced portfolios of relatively uncorrelated or anticorrelated assets to help promote investment diversity and potentially offset some of the risks.
When using correlation analysis to support investment decisions, it is crucial to understand the following caveats:
• Correlation does not imply causation . Two assets might vary jointly over an analyzed range, resulting in high correlation or anticorrelation in their returns, but that does not indicate that either instrument directly influences the other. Joint variability between assets might occur because of shared sensitivities to external factors, such as interest rates or global sentiment, or it might be entirely coincidental. In other words, correlation does not provide sufficient information to identify cause-and-effect relationships.
• Correlation does not predict the future relationship between two assets. It only reflects the estimated strength and direction of the relationship between the current analyzed samples. Financial time series are ever-changing. A strong trend between two assets can weaken or reverse in the future.
Correlation coefficient
A correlation coefficient is a numeric measure of correlation. Several coefficients exist, each quantifying different types of relationships between two datasets. The most common and widely known measure is the Pearson product-moment correlation coefficient , also known as the Pearson correlation coefficient or Pearson's r . Usually, when the term "correlation coefficient" is used without context, it refers to this correlation measure.
The Pearson correlation coefficient quantifies the strength and direction of the linear relationship between two variables. In other words, it indicates how consistently variables' values move together or in opposite directions in a proportional, linear manner. Its formula is as follows:
𝑟(𝑥, 𝑦) = cov(𝑥, 𝑦) / (𝜎𝑥 * 𝜎𝑦)
Where:
• 𝑥 is the first variable, and 𝑦 is the second variable.
• cov(𝑥, 𝑦) is the covariance between 𝑥 and 𝑦.
• 𝜎𝑥 is the standard deviation of 𝑥.
• 𝜎𝑦 is the standard deviation of 𝑦.
In essence, the correlation coefficient measures the covariance between two variables, normalized by the product of their standard deviations. The coefficient's value ranges from -1 to 1, allowing a more straightforward interpretation of the relationship between two datasets than what covariance alone provides:
• A value of 1 indicates a perfect positive correlation over the analyzed sample. As one variable's value changes, the other variable's value changes proportionally in the same direction .
• A value of -1 indicates a perfect negative correlation (anticorrelation). As one variable's value increases, the other variable's value decreases proportionally.
• A value of 0 indicates no linear relationship between the variables over the analyzed sample.
Aligning returns across instruments
In a financial time series, each data point (i.e., bar) in a sample represents information collected in periodic intervals. For instance, on a "1D" chart, bars form at specific times as successive days elapse.
However, the times of the data points for a symbol's standard dataset depend on its active sessions , and sessions vary across instrument types. For example, the daily session for NYSE stocks is 09:30 - 16:00 UTC-4/-5 on weekdays, Forex instruments have 24-hour sessions that span from 17:00 UTC-4/-5 on one weekday to 17:00 on the next, and new daily sessions for cryptocurrencies start at 00:00 UTC every day because crypto markets are consistently open.
Therefore, comparing the standard datasets for different asset types to identify correlations presents a challenge. If two symbols' datasets have bars that form at unaligned times, their correlation coefficient does not accurately describe their relationship. When calculating correlations between the returns for two assets, both datasets must maintain consistent time alignment in their values and cover identical ranges for meaningful results.
To address the issue of time alignment across instruments, this indicator requests confirmed weekly or monthly data from spread tickers constructed from the chart's ticker and another specified ticker. The datasets for spreads are derived from lower-timeframe data to ensure the values from all symbols come from aligned points in time, allowing a fair comparison between different instrument types. Additionally, each spread ticker ID includes necessary modifiers, such as extended hours and adjustments.
In this indicator, we use the following process to retrieve time-aligned returns for correlation calculations:
1. Request the current and previous prices from a spread representing the sum of the chart symbol and another symbol ( "chartSymbol + anotherSymbol" ).
2. Request the prices from another spread representing the difference between the two symbols ( "chartSymbol - anotherSymbol" ).
3. Calculate half of the difference between the values from both spreads ( 0.5 * (requestedSum - requestedDifference) ). The results represent the symbol's prices at times aligned with the sample points on the current chart.
4. Calculate the arithmetic return of the retrieved prices: (currentPrice - previousPrice) / previousPrice
5. Repeat steps 1-4 for each symbol requiring analysis.
It's crucial to note that because this process retrieves prices for a symbol at times consistent with periodic points on the current chart, the values can represent prices from before or after the closing time of the symbol's usual session.
Additionally, note that the maximum number of weeks or months in the correlation calculations depends on the chart's range and the largest time range common to all the requested symbols. To maximize the amount of data available for the calculations, we recommend setting the chart to use a daily or higher timeframe and specifying a chart symbol that covers a sufficient time range for your needs.
█ FEATURES
This indicator analyzes the correlations between several pairs of user-specified symbols to provide a structured, intuitive view of the relationships in their returns. Below are the indicator's key features:
Requesting a list of securities
The "Symbol list" text box in the indicator's "Settings/Inputs" tab accepts a comma-separated list of symbols or ticker identifiers with optional spaces (e.g., "XOM, MSFT, BITSTAMP:BTCUSD"). The indicator dynamically requests returns for each symbol in the list, then calculates the correlation between each pair of return series for its heatmap display.
Each item in the list must represent a valid symbol or ticker ID. If the list includes an invalid symbol, the script raises a runtime error.
To specify a broker/exchange for a symbol, include its name as a prefix with a colon in the "EXCHANGE:SYMBOL" format. If a symbol in the list does not specify an exchange prefix, the indicator selects the most commonly used exchange when requesting the data.
Note that the number of symbols allowed in the list depends on the user's plan. Users with non-professional plans can compare up to 20 symbols with this indicator, and users with professional plans can compare up to 32 symbols.
Timeframe and data length selection
The "Returns timeframe" input specifies whether the indicator uses weekly or monthly returns in its calculations. By default, its value is "1M", meaning the indicator analyzes monthly returns. Note that this script requires a chart timeframe lower than or equal to "1M". If the chart uses a higher timeframe, it causes a runtime error.
To customize the length of the data used in the correlation calculations, use the "Max periods" input. When enabled, the indicator limits the calculation window to the number of periods specified in the input field. Otherwise, it uses the chart's time range as the limit. The top-left corner of the table shows the number of confirmed weeks or months used in the calculations.
It's important to note that the number of confirmed periods in the correlation calculations is limited to the largest time range common to all the requested datasets, because a meaningful correlation matrix requires analyzing each symbol's returns under the same market conditions. Therefore, the correlation matrix can show different results for the same symbol pair if another listed symbol restricts the aligned data to a shorter time range.
Heatmap display
This indicator displays the correlations for each symbol pair in a heatmap-styled table representing a symmetric correlation matrix. Each row and column corresponds to a specific symbol, and the cells at their intersections correspond to symbol pairs . For example, the cell at the "AAPL" row and "MSFT" column shows the weekly or monthly correlation between those two symbols' returns. Likewise, the cell at the "MSFT" row and "AAPL" column shows the same value.
Note that the main diagonal cells in the display, where the row and column refer to the same symbol, all show a value of 1 because any series of non-na data is always perfectly correlated with itself.
The background of each correlation cell uses a gradient color based on the correlation value. By default, the gradient uses blue hues for positive correlation, orange hues for negative correlation, and white for no correlation. The intensity of each blue or orange hue corresponds to the strength of the measured correlation or anticorrelation. Users can customize the gradient's base colors using the inputs in the "Color gradient" section of the "Settings/Inputs" tab.
█ FOR Pine Script® CODERS
• This script uses the `getArrayFromString()` function from our ValueAtTime library to process the input list of symbols. The function splits the "string" value by its commas, then constructs an array of non-empty strings without leading or trailing whitespaces. Additionally, it uses the str.upper() function to convert each symbol's characters to uppercase.
• The script's `getAlignedReturns()` function requests time-aligned prices with two request.security() calls that use spread tickers based on the chart's symbol and another symbol. Then, it calculates the arithmetic return using the `changePercent()` function from the ta library. The `collectReturns()` function uses `getAlignedReturns()` within a loop and stores the data from each call within a matrix . The script calls the `arrayCorrelation()` function on pairs of rows from the returned matrix to calculate the correlation values.
• For consistency, the `getAlignedReturns()` function includes extended hours and dividend adjustment modifiers in its data requests. Additionally, it includes other settings inherited from the chart's context, such as "settlement-as-close" preferences.
• A Pine script can execute up to 40 or 64 unique `request.*()` function calls, depending on the user's plan. The maximum number of symbols this script compares is half the plan's limit, because `getAlignedReturns()` uses two request.security() calls.
• This script can use the request.security() function within a loop because all scripts in Pine v6 enable dynamic requests by default. Refer to the Dynamic requests section of the Other timeframes and data page to learn more about this feature, and see our v6 migration guide to learn what's new in Pine v6.
• The script's table uses two distinct color.from_gradient() calls in a switch structure to determine the cell colors for positive and negative correlation values. One call calculates the color for values from -1 to 0 based on the first and second input colors, and the other calculates the colors for values from 0 to 1 based on the second and third input colors.
Look first. Then leap.
Emperor Pivot LevelsDescription:
Emperor Pivot Levels is a powerful and advanced Trading View indicator designed to help traders identify precise support and resistance zones in real-time. It combines Woodie and Camarilla pivot points across multiple timeframes, ranging from 15 min to decennial, providing a comprehensive market view. The indicator features color-coded buyer and seller zones, with a green background indicating bullish territory above the pivot and a red background highlighting bearish areas below it. With its real-time accuracy and multi-timeframe analysis, Emperor Levels of Pivot empowers traders to make informed decisions and capitalize on market trends effectively.
🔥Emperor Levels of Pivot is original because it is a unique and customized enhancement of the traditional Pivot Point Standard indicator. Unlike standard pivot indicators, Emperor Pivot offers:
Dual Pivot Calculation: It combines both Woodie and Camarilla pivot types, giving traders a broader and more versatile analysis of support and resistance levels.
Multi-Timeframe Accuracy: It displays pivot levels from 15 min to decennial timeframes, providing a comprehensive market view in a single indicator. Most standard pivot indicators are limited to fewer timeframes.
Real-Time Accuracy: Unlike many lagging indicators, Emperor Pivot shows real-time support and resistance zones, making it highly effective for live trading decisions.
Unique Color-Coded Zones: The indicator features a green buyer zone above the pivot and a red seller zone below it, offering clear visual cues to identify market bias instantly.
🚀 What the script does:
snapshot
✅ 1. Displays Pivots for Multiple Timeframes Simultaneously
The script calculates and shows pivot levels for 15 min, 30 min, 45 min, 1 hr, 2 hr, 3 hr, 4 hr, 5 hr, 6 hr, daily, weekly, monthly, quarterly, half-yearly, yearly, bi-yearly, tri-yearly, quinquennial, and decennial timeframes.
snapshot
This multi-timeframe analysis helps traders see both short-term and long-term trends without switching charts.
🎯 2. Plots Buyer and Seller Zones
snapshot
Above Pivot: The script fills the area with a green background, marking the buyer zone.
Below Pivot: The area is filled with a red background, indicating the seller zone.
This color coding provides a visual representation of market sentiment, helping traders quickly spot trends.
⚡ 3. Real-Time Updates Without Lag
The script uses real-time price data to update the pivot levels instantly. This ensures that traders get the most accurate support and resistance levels during live market conditions.
🎨 4. Visual and Customizable Display
The script offers clear and clean plotting with color-coded zones, making it easy to interpret.
It also includes distance labels from the current price to the nearest pivot, helping traders measure the market's potential movement.
🔥 5. Efficient and Lightweight
Despite its complex functionality, the script is optimized for speed and performance, ensuring it doesn’t slow down the TradingView platform, even when multiple timeframes are displayed.
🚀 In Summary:
The Emperor Levels of Pivot script is a powerful tool that:
✅ Displays multi-timeframe pivots in real time.
✅ Marks buyer and seller zones with clear color coding.
✅ Shows distance from pivots for precise trading insights.
✅ Updates instantly during live trading without time lag.
This makes it an essential and highly effective indicator for both intraday and long-term traders.
📊 🔥 HOW IT WORKS 🔥:
1. Buyer and Seller Zones
The script colors the background in two zones:
Green Background (Buyer Zone): When the price is above the pivot, indicating a bullish trend.
Red Background (Seller Zone): When the price is below the pivot, indicating a bearish trend.
These color-coded zones help traders quickly understand market sentiment.
2. Real-Time Updates
The indicator continuously updates pivot levels in real time as the price moves, ensuring that traders always have the most accurate information for decision-making.
3. Efficient Performance
Despite handling multiple timeframes and pivot calculations, the script is optimized for performance, ensuring that it runs smoothly without slowing down TradingView, even with many pivots being displayed.
In Summary:
Emperor Levels of Pivot works by calculating pivot levels using Woodie and Camarilla formulas, displaying them across multiple timeframes, and visualizing market sentiment with color-coded zones. It provides real-time, accurate, and dynamic support and resistance levels, helping traders make informed decisions quickly.
⚙️ HOW TO USE Emperor Levels of Pivot 🔥:
Here’s how you can use the Emperor Levels of Pivot to make more informed trading decisions:
1. Add the Indicator to Your Chart
First, add the Emperor Levels of Pivot indicator to your TradingView chart.
You will see pivot levels displayed for multiple timeframes (15 min, 1 hour, daily, weekly, etc.) with support and resistance levels.
2. Understand the Pivot Levels
The indicator will plot pivot levels, which act as key support and resistance levels for the market.
Support Levels (S1, S2, S3, etc.): These are price levels where the market could potentially find support and reverse or slow down.
Resistance Levels (R1, R2, R3, etc.): These are levels where the price could face resistance and reverse or stall.
3. Interpret the Color-Coded Zones
snapshot
Green Background (Buyer Zone): When the price is above the pivot, the background turns green, indicating a bullish trend. Traders may consider buying or looking for long positions in this zone.
Red Background (Seller Zone): When the price is below the pivot, the background turns red, indicating a bearish trend. Traders may consider selling or looking for short positions in this zone.
4. Monitor Multi-Timeframe Pivots
The indicator displays pivot levels for multiple timeframes. For example, a short-term (15-minute) pivot might be used for quick scalping, while a long-term (daily, weekly) pivot can provide a broader view of market sentiment.
You can compare pivot levels from different timeframes to get a better understanding of market trends. For example:
Short-term (15 min) may show immediate trends.
Long-term (daily, weekly) pivots help spot overall market direction.
5. React to Price Action
Watch for price reactions at key pivots:
If the price is approaching a resistance level and facing rejection, it may indicate a selling opportunity.
If the price is approaching a support level and bouncing back, it could signal a buying opportunity.
Reversals at key pivots often present high-probability trades.
6. Combine with Emperor RSI Candle
The Emperor Levels of Pivot indicator can be combined with other indicators, such as RSI, moving averages, or candlestick patterns, to confirm trading signals and increase the probability of a successful trade.
🔥 Key Tips for Using Emperor Levels of Pivot:
Adapt to your trading style: Whether you are scalping, day trading, or taking longer-term positions, use the appropriate timeframe pivots to match your strategy.
Set stop-loss and take-profit levels near key pivot points for better risk management.
Watch for price consolidations around pivot levels, as these often signal potential breakouts or reversals.
By following these steps, you can effectively use Emperor Levels of Pivot to guide your trading decisions, improve accuracy, and increase your chances of success in the market!
💡 HOW Emperor Levels of Pivot IMPROVES TRADING 🔥
Here’s how the Emperor Levels of Pivot can significantly enhance your trading experience and decision-making:
1. Clear Identification of Key Support & Resistance Levels
The pivot levels act as strong support and resistance zones, making it easier to identify where the price might reverse or consolidate.
By visually seeing these levels, traders can avoid getting trapped in breakouts that fail or entering trades at bad price points.
2. Real-Time Market Sentiment Understanding
The color-coded zones (green for buyer zone and red for seller zone) quickly show the market’s overall sentiment. This helps traders avoid counter-trend trades and only take positions aligned with the market's current momentum.
You’ll know instantly if the market is in a bullish or bearish phase, allowing you to align your trades accordingly.
3. Multi-Timeframe Insights for More Accurate Decisions
The multi-timeframe support allows you to view pivot levels for various timeframes (from 15 min to decennial). This means you can analyze both short-term trends and long-term market conditions, giving you a holistic view.
By combining short-term and long-term pivots, you can find the best entry points and avoid trading against the dominant trend.
4. Increased Trade Precision
The distance labels show how far the current price is from key pivot points (support/resistance), helping you assess whether the price is too far from the pivot or if a pullback is likely.
This precision allows you to set more accurate stop-loss and take-profit levels, optimizing your risk-to-reward ratio.
5. Faster Decision Making
The visual simplicity of the indicator’s color-coded zones and pivot levels allows for quick decision-making. Instead of spending time analyzing price action or trying to plot pivots manually, you can immediately spot trade setups that align with your strategy.
6. Helps Identify Breakouts and Reversals
By watching how price behaves near key support and resistance levels, you can spot potential breakouts or reversals earlier.
If price bounces off a support level (green zone) or gets rejected from a resistance level (red zone), it signals high-probability entry points.
7. Reduces Overtrading and Emotional Decisions
The clarity and structure provided by the Emperor Levels of Pivot indicator reduce the chance of overtrading. When you have a clear view of key levels, you'll be less likely to take impulsive trades based on emotions or random price movements.
8. Optimized for Intraday and Long-Term Trading
Whether you’re a scalper, day trader, or position trader, the multi-timeframe functionality provides flexibility. You can zoom into lower timeframes for quick trades or focus on higher timeframes for broader market trends.
🔥 In Summary:
Emperor Levels of Pivot improves trading by:
Providing clear, reliable support and resistance levels.
Offering a real-time view of market sentiment (buyer or seller zones).
Giving multi-timeframe insights, enhancing overall decision-making.
Increasing trade precision and optimal entry/exit points.
Enabling faster decisions for quicker execution.
Helping identify potential breakouts and reversals.
Reducing the chance of overtrading and emotional errors.
Being versatile for both intraday and long-term strategies.
By utilizing Emperor Levels of Pivot, traders can make more informed, precise, and effective trading decisions, leading to better risk management and higher success rates.
Exchange and Symbol by BULL┃NETThe B | N EXSY (Exchange and Symbol by BULL | NET)
indicator provides traders using CFD brokers with the most significant price and time events from the stock exchange of the underlying original index or security. For example traders are able to easily identify the price at the Daily Open and Close time of up to three additional stock exchanges. Traders can choose from a huge list of options including the values from the current and previous Day, Week, Month and Year. In addition traders can enable the display of the Expected Move by either implied or historical volatility. The indicator can show Open Gaps (gap between close and open of two trading sessions) also which traders would usually see only on the original chart of an index or security.
The B | N EXSY indicator can help traders to make better entry decisions based on the real market sessions.
█ ⚠️ DISCLAIMER – READ BEFORE YOU USE ⚠️
█ CONCEPTS
CFD Brokers allow you to trade many indices, securities and assets up to 24 hours per day and 7 days per week (24/7). Other than Crypto Assets indices and securities get the highest transaction volume during the session of a stock market. Most importantly while its “Home Stock Market” is open.
For example the NASDAQ or S&P500 will see the highest volume during the business hours of the New York Stock Exchange (NYSE) between 9:30am and 4:00pm (America New York Time). Most CFD Providers however will open their Trading session approximately 9.5 hours before the NYSE opens and even 2 hours before Japan and Australia open the markets.
The German DAX on the other hand is listed on the Deutsche Börse Xetra which is open from 9:00 to 17:00 (Europe Berlin Time). CFD Brokers will open the DAX for trading differently between 9 and 5.5 hours before the XETRA opens.
Therefore most available indicators for visualizing the day open will show different results. Traders at Broker A will tell a totally different story than traders at Broker B who opened 3 hours later.
Furthermore people trading the NASDAQ often keep an eye on the London Stock Exchange (LSE) as well and those trading the NIKKEI often watch the NYSE besides its home at the Japan Exchange Group (JPX).
Advanced traders know about the importance of those information and I have seen thousands of charts where people draw horizontal lines to mark the open and closing prices as well as the session highs and lows. They do it every day and often for different indices and securities. A time consuming job.
Here is where B | N EXSY steps in to give traders objective information for Intraday trading (Daily timeframe and below). More or less automatically. Choose your primary stock exchange (e.g. the NYSE if you trade the NASDAQ) and optionally a second and third stock exchange you are interested in. Individually select the price events you like to see or keep the defaults. Make your own cosmetic decision on how you want the data to be displayed. Save your chart and you will never have to draw a horizontal line again to see the High of the current session, the Low of last week, the monthly Open or yesterdays Close. Sharing ideas with other traders in the chat groups will be easy because everyone is relying on the same information. Even across different CFD Brokers (with slightly different prices of course). Your Technical Analysis can become much more efficient.
█ FEATURES
B | N EXSY is highly customizable. The default settings are optimized for the NASDAQ during the NYSE session. Following you get an overview of all options in the settings menu.
— LOWER TIMEFRAME
The “Lower Timeframe in Minutes” defaults to 30 minutes and should work with most CFD Brokers and stock exchanges. If not you will get a huge warning on the chart suggesting different settings. If e.g. a CFD Broker opens the Dax session at 3:15 but the XETRA opens at 9:00 you have to change the setting to 15.
— STOCK EXCHANGE
Primary is mandatory and defaults to NYSE (New York Stock Exchange) which is the home of the NASDAQ, the S&P 500, the Dow Jones and many others. Usually you select the home stock exchange of the instrument you trade. E.g. XETRA for the DAX, JPX for the NIKKEI or HKEX for the HANG SENG.
The Second and Third stock exchange is optional and defaults to NONE. If e.g. you trade Nvidia with NYSE as the primary stock exchange and you are interested in the High and Low of the European Session select LSE (London Stock Exchange) or XETRA (Deutsche Börse Xetra) as the second stock exchange. By default the indicator will show only information about the current day and week for the second and third stock exchange but you can change that later.
— VISUALIZE SESSIONS
Beginners and less advanced traders sometimes want to see the time span of a session. By default this feature is disabled because it adds more noise to the chart. You can select each of the three stock exchanges individually and select your preferred color.
— CUSTOM STOCK EXCHANGE
Whether your preferred Stock Exchange is missing in the dropdowns or you have a special purpose (see the HOW TO USE section) you can add your own ”Stock Exchange” to the chart.
Name and Country are optional and get displayed in tooltips only. Opening, Closing and Timezone are important. Enter the Open and Close time as HOUR:MINUTE in 24 hour notation (22:00 instead of 10:00pm). The timezone can be provided as time offset in GMT or UTC notation (e.g. GMT+2 or UTC-5) or as a time zone name listed in the IANA Time Zone Database ( e.g. "America/New_York" or “Europe/Berlin”). If you do it wrong the indicator will give wrong results or don’t work at all.
— EXPECTED MOVE IMPLIED VOLATILITY
With this setting you can enable the calculation and display of the Expected Move (EM). Option and Future traders should be familiar with this feature. Those who never heard about should read about it on the internet. Your favorite search engine will provide you with lots of information about it.
After enabling the feature you have to select a source to calculate the EM. The drop down menu contains popular sources and are named after the indices they are based on. It is crucial that the setting match the index, symbol or asset you are trading. If e.g. you are trading a CFD for the NASDAQ you have to select Nasdaq as source. Wrong settings will lead to wrong calculations.
If the source you need is missing you select manually and enter the implied Volatility in the field “Value for manual calculation”. If e.g. you trade the Nikkei you have to enter the current value of the JNIV manually because it is not listed at TradingView so I can’t add it.
The other settings control the Line Color and Style, the Label Color and Size as well as the Text Color.
The indicator will display the EM+ and EM- as well as the 2 and 3 Sigma EM +/-. On the Daily Chart it will display the Weekly Expected Moves. On any timeframe below you will get the Daily Expected Moves.
— EXPECTED MOVE HISTORICAL VOLATILITY
Other than the feature above, this one calculates the EM based on historical volatility.
After enabling the feature you have to enter the amount of days to look back to calculate volatility. Like you would do for a SMA, EMA or RSI. The default is 10 days. Depending on what asset you trade you might play a little with this setting.
The other settings control the Line Color and Style, the Label Color and Size as well as the Text Color.
Like with the Expected Move Implied Volatility this setting will show weekly data on the daily timeframe and daily information on intraday timeframes.
— LABEL AND LINE COSMETICS
The settings in this section control how lines and labels get positioned on the chart and which information the labels show.
● Bar Offset
The bar offset controls the horizontal distance to the last bar on the chart where lines end. By default it is “2” bars to the right. If you use other indicators which show information on the right side you can increase this value to avoid overlapping.
● Bar Anchor
The bar anchor controls where lines start. Default is “lastbar”.
Lastbar sets the start of lines to the last bar of the chart. This provides a very clean chart without lines crossing bars to the left.
Moving sets lines to start at the bar at which the price event occurred. The line for the daily open (DO) price will stay at the opening bar of the stock market and it will do so when it becomes the previous day open (PDO) the next day. The line that marks the session High (DH) will be anchored to the highest bar while the stock market is open. Therefore it might be moving with the advancing chart. The same counts for the session Low (DL). The next day these lines become the previous day high or low (PDH / PDL) and stay at the highest/lowest bar from the day before. This logic is forwarded to all other lines (weekly, monthly, yearly). This gives traders a quick orientation on which bar a price event occurred but a less clean chart.
If you choose Day as bar anchor all lines will start at the beginning of the Brokers trading session in which the price event took place. This is also true for the roll over event when e.g. the Week Open (WO) will become the Previous Week Open (PWO) next Week. Unlike the “moving” setting the new WO and PWO will be anchored to the beginning of the Week. Traders will have a box like view into the past.
● Label Distance Divisor
This setting is used to calculate the minimum vertical distance of labels in means of price points. The internal formular takes the day close price and divides it by the number entered in this field. If e.g. the daily closing price was 5000 the minimum vertical distance would become 1 price point if you enter 5000 for this setting. If the price difference of two events would then be less than 1 the labels would be positioned higher and lower to prevent overlapping. The default value is fine for the Nasdaq (~ 19000 / 5000 = 3.8 at the time of writing). For other indices, securities and assets you should change the divider to your likings or as needed to set the trigger for repositioning labels.
● Distance Modifier
This setting is used to control the vertical shift of the label. The default of Zero disables the setting and activates an internal function which makes a decision based on the used timeframe on the chart (0.1 less than m30, 0.5 from m30 to h4, 0.75 above h4 and 1 for daily). The logic takes the minimum vertical distance and multiplies it by the distance modifier.
In the example above for the label distance divider a label would shift by 1.9 price points on a 30 minute chart if two lines trigger the minimum vertical distance. On the upper line the label moves up and on the lower line it moves down. If three lines are too close to each other the label in the middle does not get moved. If more lines break the minimum distance some labels will overlap until the price is advancing. Those events happen most likely during the opening of a stock exchange.
Price events with equal price, e.g. Day and Week Open at the start of a new week or Day, Week, Month, Year High in the event of a new ATH will get lined up (stacked) horizontally.
While this cosmetic corrections have limits overlapping can be reduced to a minimum.
● Show Price
● Show Exchange
Labels can show up to three information. The price, the stock exchange and the event. The event however can’t be disabled. If you select both options you will see something like
5347.84 for the Day Close of the S&P 500 on the New York Stock Exchange
With this two settings you can disable the display of price and/or stock exchange.
If you have chosen to use more than one stock exchange the setting for “Show Exchange” will be ignored. Otherwise you would not know which Day Close (DC) or Day High (DH) belongs to which stock exchange
● Enable Tooltip
If you decide to hide the price and/or exchange on the label it can be useful to get this information in a tooltip while hovering with the mouse over the label. On the contrary it might become annoying with labels popping up if you have a nervous mouse finger. The feature is disabled by default.
● Equalize Label Size
The size of labels is one of the most discussed issues. Some say it is too small other say it is too big. Label size matters on different devices. “Normal” labels can be too large on a smartphone and too small on a 4k display. And the size is crucial for the automatic horizontal stacking of labels. You simply can’t line up a small, normal and large label in Pine Script (the programming language at TradingView). The stacking is done by prepending labels with spaces to shift them to the right.
This setting overloads all individual size settings for the price events below and activates the automatic horizontal stacking of labels with equal price. It is a convenient way to change the size of all labels with one click in case you have different layouts for different devices.
If you disable this feature you can set the label size individually but you lose the horizontal stacking. This can be useful for traders who display only a few price events or for educational purpose where you want to point out a special event.
— CURRENT DAY
This setting controls which price events of the current day (current session) get displayed and how they appear.
Primary O/C
Enable the Day Open (DO) and Close (DC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Day High (DH) and Low (DL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Day Open (DO) and Close (DC) for the second and third stock exchange. Enabled by default.
Other H/L
Enable the Day High (DH) and Low (DL) for the second and third stock exchange. Enabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— PREVIOS DAY
This setting controls which price events of the previous day get displayed and how they appear.
Primary O/C
Enable the Previous Day Open (PDO) and Close (PDC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Previous Day High (PDH) and Low (PDL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Previous Day Open (PDO) and Close (PDC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Previous Day High (PDH) and Low (PDL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— OPENING HOUR
This setting controls whether and how to display the famous opening hour (High and Low within the first 60 minutes after stock market opens)
Primary Cur
Display the Current Day Opening Hour High (OH) and Low (OL) for the primary stock exchange. Enabled by default.
Primary Pre
Display the Previous Day Opening Hour High (POH) and Low (POL) for the primary stock exchange. Enabled by default.
Other Cur
Display the Current Day Opening Hour High (OH) and Low (OL) for the second and third stock exchange. Disabled by default.
Other Pre
Display the Previous Day Opening Hour High (POH) and Low (POL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— CURRENT WEEK
This setting controls which price events of the current week get displayed and how they appear.
Primary O/C
Enable the Week Open (WO) and Close (WC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Week High (WH) and Low (WL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Week Open (WO) and Close (WC) for the second and third stock exchange. Enabled by default.
Other H/L
Enable the Week High (WH) and Low (WL) for the second and third stock exchange. Enabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— PREVIOUS WEEK
This setting controls which price events of the previous week get displayed and how they appear.
Primary O/C
Enable the Previous Week Open (PWO) and Close (PWC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Previous Week High (PWH) and Low (PWL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Previous Week Open (PWO) and Close (PWC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Previous Week High (PWH) and Low (PWL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— CURRENT MONTH
This setting controls which price events of the current month get displayed and how they appear.
Primary O/C
Enable the Month Open (MO) and Close (MC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Month High (MH) and Low (ML) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Month Open (MO) and Close (MC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Month High (MH) and Low (ML) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— PREVIOUS MONTH
This setting controls which price events of the previous month get displayed and how they appear.
Primary O/C
Enable the Previous Month Open (PMO) and Close (PMC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Previous Month High (PMH) and Low (PML) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Previous Month Open (PMO) and Close (PMC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Previous Month High (PMH) and Low (PML) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— CURRENT YEAR
This setting controls which price events of the current year get displayed and how they appear.
Primary O/C
Enable the Year Open (YO) and Close (YC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Year High (YH) and Low (YL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Year Open (YO) and Close (YC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Year High (YH) and Low (YL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— PREVIOUS YEAR
This setting controls which price events of the previous year get displayed and how they appear.
Primary O/C
Enable the Previous Year Open (PYO) and Close (PYC) for the primary stock exchange. Enabled by default.
Primary H/L
Enable the Previous Year High (PYH) and Low (PYL) for the primary stock exchange. Enabled by default.
Other O/C
Enable the Previous Year Open (PYO) and Close (PYC) for the second and third stock exchange. Disabled by default.
Other H/L
Enable the Previous Year High (PYH) and Low (PYL) for the second and third stock exchange. Disabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— ALL TIME HIGH
This setting controls whether the All Time High gets displayed on the daily chart and how it appears. See the limitations section (Amount of data) for details why the ATH will be displayed in the daily timeframe only.
Primary ATH
Enable the All Time High (ATH) for the primary stock exchange. Enabled by default.
OTHER ATH
Enable the All Time High (ATH) for the second and third stock exchange. Enabled by default.
The settings below control the Line Color and Style, the Label Color and Size as well as the Text Color.
— GAPFINDER
If you look at the original charts of an index (not the CFD Broker chart) you will see mostly every day a price difference between the closing price of the last session and the opening price of the current session. There are many names for those gaps. I call them Open Gaps or Kassa Gaps. Advanced traders know the market tends to close those gaps more or less quickly. Which is one more reason to know where the real previous day close was.
There are market conditions where those gaps are not closed within the new session. Those gap leftovers will usually be closed in the future. Some earlier, some later. If those gaps get more and more you quickly lose track and if the time comes to close one of the gaps you might not remember or recognize the price has reached an old gap. The charts of CFDs don’t even show such gaps due to the fact they trade nearly 24 hours per day.
The Gapfinder will display such leftovers after the end of the next session. If e.g. the previous day close was at 18000 and the market opens the next session at 18200 we have an Open Gap of 200 price points. If the Low of this session is 18100 after the session closes there would be rest gap of 100 price points. The Gapfinder then would mark it with a rectangle colored according to the direction of the Gap.
Bullish gaps result from an opening price (DO) and the current Day Low (DL) being higher than the previous day close (PDC).
Bearish gaps arise from an opening price (DO) and the current Day High (DH) being lower than the previous day closing price (PDC).
If you like you can change the color for the gaps and the text color.
— MISCELLANEOUS
To streamline the appearance of prices they are set to display two decimals only. Numbers get rounded! However, trading currency pairs or crypto assets might need to display the full amount of decimals. In that case simply disable the setting “2 Decimals”.
By default the indicator will display a small table in the lower right corner of the chart. It contains information about the current symbol, the selected primary stock exchange and the volatility. If you don’t like or need it you can disable it.
The “Unreliable Data” checkbox usually should not affect you. But if it does it can be really helpful. The B | N EXSY indicator uses Lower Timeframe Data to match CFD Broker and Stock Exchange opening times. If e.g. a CFD Broker opens at 0:00 and the stock exchange at 9:30 the script uses data from the 30 Minutes timeframe if you view the chart at any timeframe higher than 30 Minutes. Why? Because if you chose a four hours timeframe there is simply no bar that starts at 9:30 in this case. The CFD brokers h4 bars will start at 0:00, 4:00, 8:00, 12:00 and so on.
Sometimes the data stream of the Broker and TradingView get out of sync and a 4 hour bar eventually returns just 6x 30 Minutes instead of 8. During development of the indicator I came across of at least two brokers with such an issue. Only in one time frame and a specific period of time. If this happens the price information might be wrong. A Day High might be to low, a Day Close missing or the Day Open not be found. In such cases your trade might fail. To prevent such situations the indicator performs a daily consistency check at 12:00 during the session for an exchange in its time zone if this option is enabled.
In case the data are found unreliable you will see a label above the bar with further information in the tooltip of the label. You should than compare the information from this timeframe with the lower timeframe selected in the field below. Anway, it is a rare issue and if you, like me, work on multiple timeframes in parallel this bug probably won’t affect you.
— HOLIDAYS
● Holidays
If there is a holiday on a stock market the original chart of an index will simply show no bars for that day. CFD Broker charts will only show no bars if it is an international holiday or the broker itself is affected by the holiday. Take for example Memorial Day in the U.S. Although the NYSE is closed you can trade e.g. the NASDAQ until around 17:30 European Time which is the closing time of the LSE and XETRA. Unfortunately the closing time in Europe is after the opening time in the U.S. If the price goes up in the overlapping time you eventually see a new Weekly High (WH) if you rely on the chart of the CFD Broker. To avoid such misleading information the B | N EXSY indicator allows you to enter holidays for each stock market individually. If the indicator finds a holiday it will not store or add data for this day.
By default there are already the market holidays entered for the NYSE, XETRA, FSX and LSE in 2024. If you want to add your own holidays you have to follow some simple rules:
1. The entry must start in a new line below existing entries (carriage return)
2. The entry starts with the shortcut of the stock exchange exactly as you see them in the dropdown menu.
3. The stock exchange gets separated from the holidays with a colon (:)
4. Each holiday is entered as YYYY-MM-DD
5. Holidays get separated with a single whitespace
The entry for the Japan Exchange Group (JPX) in 2025 would start with:
JPX: 2025-01-01, 2025-01-02, 2025-01-03, 2025-01-08
Completed by the rest of the holiday.
If you make your own entries please keep a copy of the line you added because it will be replaced by the defaults if the indicator gets an update. Best practices would be to provide your holiday string in the comment section and I add it as a default.
● Early Close
Some stock exchanges close the market early before some holidays. In that case the indicator won’t be able to fetch the closing price for that day and the daily roll over won’t work for the day after the holiday. To prevent chaos you can enter the days with early close in this field.
By default the early closing days of the NYSE are already entered. If you want to add your own early closing days you have to follow some simple rules:
1. The entry must start in a new line below existing entries (carriage return)
2. The entry starts with the shortcut of the stock exchange exactly as you see them in the dropdown menu.
3. The stock exchange gets separated from the days with a colon (:)
4. Each early closing day is entered as YYYY-MM-DD-HH-MM where HH-MM is the closing time of this day entered in 24 hours format in the timezone of the stock exchange
5. Days get separated with a single whitespace
The entry for the day before Thanksgiving at the NYSE in 2025 would be:
NYSE:2025-11-25-13-00
This is because the market will close early at 1:00 PM on November 25, 2025, the day before Thanksgiving. The time is provided in 24-hour format as 13:00.
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Disclaimer BullNet: The information provided in this document is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Any use of the content is at your own risk. No liability is assumed for any losses or damages resulting from reliance on this information. Trading financial instruments involves significant risks, including the potential loss of all invested capital. There is no guarantee of profits or specific outcomes. Please conduct your own research and consult a professional financial advisor if needed.
Disclaimer TradingView: According to the www.tradingview.com
Copyright: 2025-BULLNET - All rights reserved.
Roadmap:
Version 1.0 03.03.2025
RSI Plus +
Description:
RSI Plus + is an enhanced Relative Strength Index (RSI) indicator that provides a multi-timeframe view of RSI values across various timeframes. It highlights overbought and oversold conditions for a more comprehensive analysis, with additional focus on the Relative RSI (RRSI), which compares the current RSI to the average RSI. This provides insight into relative market strength or weakness, giving traders a clear view of how the current market conditions compare to historical averages. The indicator is ideal for spotting potential market reversals, pullbacks, or trend continuations.
Overview
RSI Plus + offers a multi-timeframe RSI display across the following timeframes:
- 2m (2 minutes)
- 5m (5 minutes)
- 15m(15 minutes)
- 30m (30 minutes)
- 1h (1 hour)
- 4h (4 hours)
- 12h (12 hours)
- Daily (1 Day)
- Weekly (1 Week)
- Monthly (1 Month)
The indicator displays a table with RSI, Average RSI, and Relative RSI (RRSI) values for each selected timeframe. The table is color-coded to indicate overbought (RSI > 70) or oversold (RSI < 30) conditions. Additionally, visual triangle alerts are plotted on the chart to signal potential trade opportunities when all selected timeframes show either overbought or oversold conditions. The RRSI provides insight into the current market’s relative strength or weakness by comparing the current RSI to its historical average.
How to Use
1. Setting Up the Indicator:
- Add RSI Plus + to your TradingView chart.
- Enable or disable timeframes using the checkboxes (e.g., 2m, 5m, 15m, Daily, Weekly, etc.) to customise the timeframes you want to analyse.
2. Understanding the Table Layout:
The indicator displays a table in the top-right corner of the chart with the following columns:
- Row 0 Timeframes (2m, 5m, 15m, 30m, 1h, 4h, 12h, Daily, Weekly, Monthly).
- Row 1 RRSI (Relative RSI: the current RSI compared to the average RSI).
- Row 2 Average RSI (The average RSI for each timeframe).
- Row 3 Current RSI (The current RSI value for each timeframe).
The RRSI (Relative RSI) row compares the current RSI with the average RSI, offering insight into the current relative strength or weakness. This allows traders to gauge whether the market is stronger or weaker compared to its historical performance within the selected timeframe.
3. Interpreting the Relative RSI (RRSI)
- RRSI > 1: If the Relative RSI (RRSI)is greater than 1, it means the current RSI is stronger than its historical average, indicating stronger market strength. This could be a sign of momentum in the direction of the trend.
- RRSI < 1: If the RRSI is below 1, it means the current RSI is weaker than its historical average, signalling relative market weakness. This may indicate the possibility of a reversal or pullback before the trend resumes.
- RRSI ~ 1: When the RRSI is around 1, it indicates that the current RSI is in line with its historical average, suggesting neutral market conditions.
4. Using the Visual Cues (Triangle Shapes):
- Green Triangle: Plotted above the price bars when all selected timeframes show RSI values above 70 (overbought), signalling potential exhaustion and a short signal or a pullback before continuation.
- Red Triangle: Plotted below the price bars when all selected timeframes show RSI values below 30*(oversold), signalling potential market reversal and long signal or a pullback before continuation*
These triangle shapes are clear visual alerts for traders to act upon when all timeframes signal extreme conditions.
5. Overbought/Oversold Conditions as Signals:
Overbought Conditions: If all selected timeframes show RSI values above 70 (green triangles appear), it suggests that the market may be overbought, signalling a potential short trade opportunity or a pullback before continuation.
Oversold Conditions: If all selected timeframes show RSI values below 30 (red triangles appear), it suggests that the market may be oversold, signalling a potential long trade or short term bounce opportunity or a pullback before continuation.
6. Set alerts for when all selected timeframes turn overbought (green triangles) or all turn oversold (red triangles). This alert condition will notify you when all selected timeframes signal extreme market conditions, which could indicate a strong reversal or continuation in price.
Notes:
RRSI provides an additional layer of analysis by showing the current relative strength or weakness of the market. A higher RRSI indicates strength relative to historical performance, while a lower RRSI signals weakness.
RSI Plus + is best used alongside other technical tools to confirm trade setups.
RRSI can help traders determine whether the market is likely to continue its trend or if a correction or reversal is imminent.
Customisable Timeframes: The RSI Plus + indicator is fully customisable, allowing you to select RSI length (RSI Period), which timeframes to analyse, from as short as 2 minutes up to monthly intervals, a personally chosen selection This gives traders the flexibility to tailor the indicator to their preferred trading style and time horizon.
Relative Crypto Dominance Polar Chart [LuxAlgo]The Relative Crypto Dominance Polar Chart tool allows traders to compare the relative dominance of up to ten different tickers in the form of a polar area chart, we define relative dominance as a combination between traded dollar volume and volatility, making it very easy to compare them at a glance.
🔶 USAGE
The use is quite simple, traders just have to load the indicator on the chart, and the graph showing the relative dominance will appear.
The 10 tickers loaded by default are the major cryptocurrencies by market cap, but traders can select any ticker in the settings panel.
Each area represents dominance as volatility (radius) by dollar volume (arc length); a larger area means greater dominance on that ticker.
🔹 Choosing Period
The tool supports up to five different periods
Hourly
Daily
Weekly
Monthly
Yearly
By default, the tool period is set on auto mode, which means that the tool will choose the period depending on the chart timeframe
timeframes up to 2m: Hourly
timeframes up to 15m: Daily
timeframes up to 1H: Weekly
timeframes up to 4H: Monthly
larger timeframes: Yearly
🔹 Sorting & Sizing
Traders can sort the graph areas by volatility (radius of each area) in ascending or descending order; by default, the tickers are sorted as they are in the settings panel.
The tool also allows you to adjust the width of the chart on a percentage basis, i.e., at 100% size, all the available width is used; if the graph is too wide, just decrease the graph size parameter in the settings panel.
🔹 Set your own style
The tool allows great customization from the settings panel, traders can enable/disable most of the components, and add a very nice touch with curved lines enabled for displaying the areas with a petal-like effect.
🔶 SETTINGS
Period: Select up to 5 different time periods from Hourly, Daily, Weekly, Monthly and Yearly. Enable/disable Auto mode.
Tickers: Enable/disable and select tickers and colors
🔹 Style
Graph Order: Select sort order
Graph Size: Select percentage of width used
Labels Size: Select size for ticker labels
Show Percent: Show dominance in % under each ticker
Curved Lines: Enable/disable petal-like effect for each area
Show Title: Enable/disable graph title
Show Mean: Enable/disable volatility average and select color
Bitcoin Polynomial Regression ModelThis is the main version of the script. Click here for the Oscillator part of the script.
💡Why this model was created:
One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model).
This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here .
📉The theory of diminishing returns:
This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles.
To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/
🔧Creation of the model:
For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section.
This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function:
ax^3 +bx^2 + cx + d.
In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows:
Top regression line (x, y) values:
113, 18.6
240, 1004
451, 19128
655, 65502
Bottom regression line (x, y) values:
103, 2.5
267, 211
471, 3193
676, 16255
The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found:
Top regression line parameter values:
a: 0.000202798
b: 0.0872922
c: -30.88805
d: 1827.14113
Bottom regression line parameter values:
a: 0.000138314
b: -0.0768236
c: 13.90555
d: -765.8892
📊Polynomial Regression Oscillator:
This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula:
normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line)
This transformation results in a price value between 0 and 1 between both the regression lines. The Oscillator version can be found here.
🔍Interpretation of the Model:
In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom.
The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom.
Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below.
🔮Future Predictions:
Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom:
In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top.
Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026.
Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026.
For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow:
And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
Bitcoin Polynomial Regression OscillatorThis is the oscillator version of the script. Click here for the other part of the script.
💡Why this model was created:
One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model).
This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here .
📉The theory of diminishing returns:
This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles.
To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/
🔧Creation of the model:
For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section.
This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function:
ax^3 +bx^2 + cx + d.
In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows:
Top regression line (x, y) values:
113, 18.6
240, 1004
451, 19128
655, 65502
Bottom regression line (x, y) values:
103, 2.5
267, 211
471, 3193
676, 16255
The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found:
Top regression line parameter values:
a: 0.000202798
b: 0.0872922
c: -30.88805
d: 1827.14113
Bottom regression line parameter values:
a: 0.000138314
b: -0.0768236
c: 13.90555
d: -765.8892
📊Polynomial Regression Oscillator:
This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula:
normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line)
This transformation results in a price value between 0 and 1 between both the regression lines.
🔍Interpretation of the Model:
In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom.
The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom.
Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below.
🔮Future Predictions:
Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom:
In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top.
Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026.
Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026.
For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow:
And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
Super Cycle Low FinderHow the Indicator Works
1. Inputs
Users can adjust the cycle lengths:
Daily Cycle: Default is 40 days (within 36-44 days).
Weekly Cycle: Default is 26 weeks (182 days, within 22-31 weeks).
Yearly Cycle: Default is 4 years (1460 days).
2. Cycle Low Detection
Function: detect_cycle_low finds the lowest low over the specified period and confirms it with a bullish candle (close > open).
Timeframes: Daily lows are calculated directly; weekly and yearly lows use request.security to fetch data from higher timeframes.
3. Half Cycle Lows
Detected over half the cycle length, plotted to show mid-cycle strength or weakness.
4. Cycle Translation
Logic: Compares the position of the highest high to the cycle’s midpoint.
Output: "R" for right translated (bullish), "L" for left translated (bearish), displayed above bars.
5. Cycle Failure
Flags when a new low falls below the previous cycle low, indicating a breakdown.
6. Visualization
Cycle Lows: Diamonds below bars (yellow for daily, green for weekly, blue for yearly).
Half Cycle Lows: Circles below bars (orange, lime, aqua).
Translations: "R" or "L" above bars in distinct colors.
Failures: Downward triangles below bars (red, orange, purple).
TimeMapTimeMap is a visual price-reference indicator designed to help traders rapidly visualize how current price levels relate to significant historical closing prices. It overlays your chart with reference lines representing past weekly, monthly, quarterly (3-month), semi-annual (6-month), and annual closing prices. By clearly plotting these historical price references, TimeMap helps traders quickly gauge price position relative to historical market structure, aiding in the identification of trends, support/resistance levels, and potential reversals.
How it Works:
The indicator calculates the precise number of historical bars corresponding to weekly, monthly, quarterly, semi-annual, and annual intervals, dynamically adjusting according to your chart’s timeframe (intraday, daily, weekly, monthly) and chosen market type (Stocks US, Crypto, Forex, or Futures). Historical closing prices from these periods are plotted directly on your chart as horizontal reference lines.
For intraday traders, the script accurately calculates historical offsets considering regular and extended trading sessions (e.g., pre-market and after-hours sessions for US stocks), ensuring correct positioning of historical lines.
User-Configurable Inputs Explained in Detail:
Market Type:
Allows you to specify your trading instrument type, automatically adjusting calculations for:
- Stocks US (default): 390 minutes per regular session (780 minutes if extended hours enabled), 5 trading days/week.
- Crypto: 1440 minutes/day, 7 trading days/week.
- Forex: 1440 minutes/day, 5 trading days/week.
- Futures: 1320 minutes/day, 5 trading days/week.
Show Weekly Close:
When enabled, plots a line at the exact closing price from one week ago. Provides short-term context and helps identify recent price momentum.
Show Monthly Close:
When enabled, plots a line at the exact closing price from one month ago. Helpful for evaluating medium-term price positioning and monthly trend strength.
Show 3-Month Close:
When enabled, plots a line at the exact closing price from three months ago. Useful for assessing quarterly market shifts, intermediate trend changes, and broader market sentiment.
Show 6-Month Close:
When enabled, plots a line at the exact closing price from six months ago. Useful for identifying semi-annual trends, significant price pivots, and longer-term support/resistance levels.
Show 1-Year Close:
When enabled, plots a line at the exact closing price from one year ago. Excellent for assessing long-term market direction and key annual price levels.
Enable Smoothing:
Activates a Simple Moving Average (SMA) smoothing of historical reference lines, reducing volatility and providing clearer visual references. Recommended for traders preferring less volatile reference levels.
Smoothing Length:
Determines the number of bars used in calculating the SMA smoothing of historical lines. Higher values result in smoother but slightly delayed reference lines; lower values offer more immediate yet more volatile levels.
Use Extended Hours (Intraday Only):
When enabled (only applicable for Stocks US), it accounts for pre-market and after-hours trading sessions, providing accurate intraday historical line calculations based on extended sessions (typically 780 minutes/day total).
Important Notes and Compliance:
- This indicator does not provide trading signals, recommendations, or predictions. It serves purely as a visual analytical tool to supplement traders’ existing methods.
- Historical lines plotted are strictly based on past available price data; the indicator never accesses future data or data outside the scope of Pine Script’s standard capabilities.
- The script incorporates built-in logic to avoid runtime errors if insufficient historical data exists for a selected timeframe, ensuring robustness even with limited historical bars.
- TimeMap is original work developed exclusively by Julien Eche (@Julien_Eche). It does not reuse or replicate third-party or existing open-source scripts.
Recommended Best Practices:
- Use TimeMap as a complementary analytical reference, not as a standalone strategy or trade decision-making tool.
- Adapt displayed historical periods and smoothing settings based on your trading style and market approach.
- Default plot colors are optimized for readability on dark-background charts; adjust as necessary according to your preference and chart color scheme.
This script is published open-source to benefit the entire TradingView community and fully complies with all TradingView script publishing rules and guidelines.
True Open CalculationsIndicator Description: True Open Calculations
This custom Pine Script indicator calculates and plots key "True Open" levels based on specific time intervals and trading sessions. The True Open levels represent significant price points on the chart, helping traders identify key reference points tied to various market opening times. These levels are important for understanding price action in relation to market sessions and trading cycles. The indicator is designed to plot lines corresponding to different "True Opens" on the chart and display labels with the associated information.
Key Features:
True Year Open:
This represents the opening price on the first Monday of April each year. It serves as a reference point for the yearly price level.
Plot Color: Green.
True Month Open:
This represents the opening price on the second Monday of each month. It helps in identifying monthly trends and provides a key reference for monthly price movements.
Plot Color: Blue.
True Week Open:
This represents the opening price every Monday at 6:00 PM. It gives traders a level to track weekly opening movements and can be useful for weekly trend analysis.
Plot Color: Orange.
True Day Open:
This represents the opening price at 12:00 AM (midnight) each day. It serves as a daily benchmark for price action at the start of the trading day.
Plot Color: Red.
True New York Session Open:
This represents the opening price at 7:30 AM (New York session start time). This level is crucial for traders focused on the New York trading session.
Plot Color: Purple.
Additional Features:
Labels: The indicator displays labels to the right of each plotted line to describe which "True Open" it represents (e.g., "True Year Open," "True Month Open," etc.).
Dynamic Plotting: The lines are only plotted on the current candle, and the lines are dynamically updated for each time period based on the corresponding "True Open."
Visual Cues: The colors of the plotted lines (green, blue, orange, red, purple) help quickly distinguish between different "True Open" levels, making it easy for traders to track price action and make informed decisions.
Use Cases:
Yearly, Monthly, Weekly, Daily, and Session Benchmarking: This indicator provides traders with important price levels to use as benchmarks for the current year, month, week, and day, helping to identify trends and potential reversals.
Session Awareness: It is particularly useful for traders who want to track key market sessions, such as the New York session, and their impact on price movement.
Long-term Analysis: By including the yearly open, this indicator helps traders gain a broader perspective on market trends and provides context for analyzing shorter-term price movements.
Benefits:
Helps identify important reference points for longer-term trends (yearly, monthly) as well as shorter-term moves (daily, weekly, and session).
Visually intuitive with color-coded lines and labels, allowing quick and easy identification of key market open levels.
Dynamic and real-time: The indicator plots and updates the True Open levels dynamically as the market progresses.
Highest High Line with Multi-Timeframe Supertrend and RSIOverview:
This powerful indicator combines three essential elements for traders:
Highest High Line – Tracks the highest price over a customizable lookback period across different timeframes.
Multi-Timeframe Supertrend – Displays Supertrend values and trend directions for multiple timeframes simultaneously.
Relative Strength Index (RSI) – Shows RSI values across different timeframes for momentum analysis.
Features:
✅ Customizable Highest High Line:
Selectable timeframes: Daily, Weekly, Monthly, Quarterly, Yearly
Adjustable lookback period
✅ Multi-Timeframe Supertrend:
Supports 1min, 5min, 10min, 15min, 30min, 1H, Daily, Weekly, Monthly, Quarterly, Yearly
ATR-based calculation with configurable ATR period and multiplier
Identifies bullish (green) & bearish (red) trends
✅ Multi-Timeframe RSI:
Calculates RSI for the same timeframes as Supertrend
Overbought (≥70) and Oversold (≤30) signals with color coding
✅ Comprehensive Table Display:
A clean, structured table in the bottom-right corner
Displays Supertrend direction, value, and RSI for all timeframes
Helps traders quickly assess trend and momentum alignment
How to Use:
Use the Highest High Line to identify key resistance zones.
Confirm trend direction with Multi-Timeframe Supertrend.
Check RSI values to avoid overbought/oversold conditions before entering trades.
Align multiple timeframes for stronger confirmation of trend shifts.
Ideal For:
✅ Scalpers (lower timeframes: 1m–30m)
✅ Swing Traders (higher timeframes: 1H–D)
✅ Position Traders (Weekly, Monthly, Quarterly)
💡 Tip: Look for Supertrend & RSI confluence across multiple timeframes for higher probability setups.
Trend Detection
#### *Description:*
This *Trend Detection* indicator is designed to help traders identify and confirm trends in the market using a combination of moving averages, volume analysis, and MACD filters. It provides clear visual signals for uptrends and downtrends, along with customizable settings to adapt to different trading styles and timeframes. The indicator is suitable for both beginners and advanced traders who want to improve their trend-following strategies.
---
#### *Key Features:*
1. *Trend Detection:*
- Uses *Moving Averages (MA)* to determine the overall trend direction.
- Supports multiple MA types: *SMA (Simple), **EMA (Exponential), **WMA (Weighted), and **HMA (Hull)*.
2. *Advanced Filters:*
- *MACD Filter:* Confirms trends using MACD crossovers.
- *Volume Filter:* Ensures trends are supported by above-average volume.
- *Multi-Timeframe Filter:* Validates trends using a higher timeframe (e.g., Daily or Weekly).
3. *Visual Signals:*
- Plots a *trend line* on the chart to indicate the current trend direction.
- Fills the background with *green* for uptrends and *red* for downtrends.
4. *Customizable Settings:*
- Adjust the *MA lengths, **MACD parameters, and **confirmation thresholds* to suit your trading strategy.
- Control the transparency of the background fill for better chart readability.
5. *Alerts:*
- Generates *buy/sell signals* when a trend is confirmed.
- Alerts can be set to trigger at the close of a candle for precise entry/exit points.
---
#### *How to Use:*
1. *Adding the Indicator:*
- Copy and paste the Pine Script code into the TradingView Pine Script editor.
- Add the indicator to your chart.
2. *Configuring the Settings:*
- *Trend Settings:*
- Choose the *MA type* (e.g., EMA for faster response, HMA for smoother trends).
- Set the *Trend MA Period* (e.g., 200 for long-term trends) and *Filter MA Period* (e.g., 100 for medium-term trends).
- *Advanced Filters:*
- Enable/disable the *MACD Filter* and adjust its parameters (Fast, Slow, Signal).
- Enable/disable the *Volume Filter* to ensure trends are supported by volume.
- *Multi-Timeframe Filter:*
- Enable this filter to validate trends using a higher timeframe (e.g., Daily or Weekly).
3. *Interpreting the Signals:*
- *Uptrend:* The trend line turns *green*, and the background is filled with a transparent green color.
- *Downtrend:* The trend line turns *red*, and the background is filled with a transparent red color.
- *Alerts:* Buy/sell signals are generated when the trend is confirmed.
4. *Using Alerts:*
- Set up alerts for *Buy Signal* (bullish reversal) and *Sell Signal* (bearish reversal).
- Alerts can be configured to trigger at the close of a candle for precise execution.
---
#### *Settings and Their Effects:*
1. *MA Type:*
- *SMA:* Smooth but lagging. Best for long-term trends.
- *EMA:* Faster response to price changes. Suitable for medium-term trends.
- *WMA:* Gives more weight to recent prices. Useful for short-term trends.
- *HMA:* Combines speed and smoothness. Ideal for all timeframes.
2. *Trend MA Period:*
- A longer period (e.g., 200) identifies long-term trends but may lag.
- A shorter period (e.g., 50) reacts faster but may produce false signals.
3. *Filter MA Period:*
- Acts as a secondary filter to confirm the trend.
- A shorter period (e.g., 50) provides tighter confirmation but may increase noise.
4. *MACD Filter:*
- Ensures trends are confirmed by MACD crossovers.
- Adjust the *Fast, **Slow, and **Signal* lengths to match your trading style.
5. *Volume Filter:*
- Ensures trends are supported by above-average volume.
- Reduces false signals during low-volume periods.
6. *Multi-Timeframe Filter:*
- Validates trends using a higher timeframe (e.g., Daily or Weekly).
- Increases reliability but may delay signals.
7. *Confirmation Value:*
- Sets the minimum percentage deviation from the trend MA required to confirm a trend.
- A higher value (e.g., 2.0%) reduces false signals but may delay trend detection.
8. *Confirmation Bars:*
- Sets the number of bars required to confirm a trend.
- A higher value (e.g., 5 bars) ensures sustained trends but may delay signals.
---
#### *Who Should Use This Indicator?*
1. *Trend Followers:*
- Traders who focus on identifying and riding long-term trends.
- Suitable for *swing traders* and *position traders*.
2. *Day Traders:*
- Can use shorter MA periods and faster filters (e.g., EMA, HMA) for intraday trends.
3. *Volume-Based Traders:*
- Traders who rely on volume confirmation to validate trends.
4. *Multi-Timeframe Traders:*
- Traders who use higher timeframes to confirm trends on lower timeframes.
5. *Beginners:*
- Easy-to-understand visual signals and alerts make it beginner-friendly.
6. *Advanced Traders:*
- Customizable settings allow for fine-tuning to match specific strategies.
---
#### *Example Use Cases:*
1. *Long-Term Investing:*
- Use a *200-period SMA* with a *Daily* higher timeframe filter to identify long-term trends.
- Enable the *Volume Filter* to ensure trends are supported by strong volume.
2. *Swing Trading:*
- Use a *50-period EMA* with a *4-hour* higher timeframe filter for medium-term trends.
- Enable the *MACD Filter* to confirm trend reversals.
3. *Day Trading:*
- Use a *20-period HMA* with a *1-hour* higher timeframe filter for short-term trends.
- Disable the *Volume Filter* for faster signals.
---
#### *Conclusion:*
The *Trend Detection* indicator is a versatile tool for traders of all levels. Its customizable settings and advanced filters make it suitable for various trading styles and timeframes. By combining moving averages, volume analysis, and MACD filters, it provides reliable trend signals with minimal lag. Whether you're a beginner or an advanced trader, this indicator can help you make better trading decisions by identifying and confirming trends in the market.
---
#### *Publishing on TradingView:*
- *Title:* Trend Detection with Advanced Filters
- *Description:* A powerful trend detection tool using moving averages, volume analysis, and MACD filters. Suitable for all trading styles and timeframes.
- *Tags:* Trend, Moving Averages, MACD, Volume, Multi-Timeframe
- *Category:* Trend-Following
- *Access:* Public or Private (depending on your preference).
---
Let me know if you need further assistance or additional features!
JL - DWM OHLCThis indicator plots the following price levels on your chart automatically AND will not show up if you are using a timeframe bigger than 60 minutes, 1 day, or 1 week.
Here are the price levels that are automatically plotted for you, and so you know the styling is different for Daily, Weekly, Monthly levels so you can easily distinguish between them:
- Prior Day: High / Low / Close
- Current Day: Open
- Prior Week: High / Low / Close
- Current Week: Open
- Prior Month: High / Low / Close
- Current Month: Open
These plots are timeframe dependent and will not plot on subsequently higher timeframes, here is how they work:
Daily Price Levels are only shown on timeframes that are smaller than 60 minutes.
Weekly Price Levels are only shown on timeframes smaller than 1 Day.
Monthly Price Levels are only shown on timeframes smaller than 1 Week.
This way, you can turn on the indicator and not have to think about turning off certain price levels if you switch to a larger / longer timeframe than what you typically use.
For example, Daily OHLC price levels will quickly clutter the 60 minute chart, and likely you don't need to know the HLC of the Prior Day if you are looking at the 60 minute chart. Therefor it may be helpful to automatically hide the Daily price level plots, and only show the Weekly and Monthly plots on the 60 minute timeframe.
I hope you find this indicator helpful, thanks for reading.
PivotSri(+) - Advanced TraditionalPivot Points Indicator
Description:
The Sri(+) Pivot Points Indicator is a powerful and customizable tool for traders looking to analyze key support and resistance levels based on Next Day CPR, Daily, Weekly, and Monthly Pivot Points. This indicator automatically calculates classic pivot levels, including support and resistance lines, providing valuable insights into market trends and potential reversal zones.
The script offers:
✅ Pivot Points Calculation - Determines key price levels using a standard pivot formula.
✅ Multi-Timeframe Support - Displays pivot points from different timeframes (Daily, Weekly, Monthly).
✅ Support & Resistance Levels (S1 to S5 / R1 to R5) - Visualizes multiple levels of support and resistance for precise market structure analysis.
✅ Customizable Colors & Styles - Allows traders to personalize pivot lines, background colors, and transparency for better visibility.
✅ Dynamic Box Display for TC & BC - Highlights the range between Top Central (TC) and Bottom Central (BC) pivot levels.
✅ Automatic Timeframe Adjustment - The script ensures pivots are aligned properly across different trading sessions.
✅ Central Pivot Range (CPR) Analysis - Identifies bullish or bearish trends based on price action relative to the Monthly CPR.
✅ No Repainting - Uses historical pivot data to ensure stable and accurate plotting.
How It Works
Pivot Calculation: The script calculates the central pivot point (P) based on the previous period’s high, low, and close prices.
Support & Resistance: The indicator derives S1-S5 and R1-R5 levels to help identify potential breakout and retracement zones.
Monthly CPR-Based Trend Bias:
If the stock is trading below the Monthly CPR, it indicates a bearish trend.
If the stock is trading above the Monthly CPR, it suggests a bullish trend.
Weekly & Monthly Adjustments: The pivot levels are updated dynamically to match the selected timeframe, ensuring traders always have relevant market data.
Pros of Using Sri(+) Pivot Indicator
🚀 Enhanced Decision Making – Identify key price zones where the market may react.
📈 Perfect for Day & Swing Traders – Get Daily, Weekly, and Monthly pivots for short and long-term analysis.
🎨 Customizable Appearance – Adjust colors, line widths, and transparency for optimal chart visibility.
⏳ Multi-Timeframe Flexibility – Works on any timeframe, from intraday scalping to long-term trend analysis.
🔄 Reliable and Accurate – No repainting; pivots remain fixed once calculated.
📊 Supports Technical Confluence – Combine with other indicators like SuperTrend, RSI, CCI, or Volume for stronger trading signals.
📉 CPR-Based Trend Confirmation – Quickly assess market bias based on price location relative to the Monthly CPR.
How to Use
1️⃣ Add the script to your TradingView chart.
2️⃣ Customize pivot settings according to your trading style.
3️⃣ Observe the Monthly CPR trend bias for directional confirmation.
4️⃣ Use the plotted levels to determine potential entry & exit points.
5️⃣ Combine with other technical indicators for improved trade confirmation.
🎯 Best Used For:
✅ Scalping & Day Trading
✅ Swing Trading
✅ Trend Reversals & Breakout Strategies
✅ Confluence with Other Indicators
Final Thoughts
The Sri(+) Pivot Indicator is an essential tool for traders looking to leverage pivot points, support, and resistance levels effectively. With its customizable settings, CPR-based trend bias, and multi-timeframe support, this script can significantly enhance your trading strategy.
📢 If you find this useful, don’t forget to give it a LIKE and SHARE with fellow traders! 🚀🎯
VWAP anchored with Previous VWAPVWAP with Persistent Previous VWAP Levels
🔹 Overview
This indicator calculates and displays Daily, Weekly, and Monthly VWAP (Volume Weighted Average Price) along with their previous period VWAP levels, helping traders analyze key price points used by institutional players. Unlike traditional VWAP indicators that reset at the start of each period, this script extends the previous VWAP levels across the current period, providing strong reference points for support and resistance.
🔹 Key Features
✅ Multiple Timeframe VWAPs – Displays Daily, Weekly, and Monthly VWAPs for better trend analysis.
✅ Persistent Previous VWAPs – Keeps and extends previous period VWAP levels as horizontal lines.
✅ Customizable Appearance – Modify colors, line widths, and visibility of each VWAP level.
✅ VWAP Labels – Optional labels for quick reference to VWAP and previous VWAP values.
✅ Efficient Calculation – Optimized for smooth performance on all chart timeframes.
🔹 How It Works
VWAP Calculation
Uses hlc3 (high + low + close) / 3 as the default VWAP price source.
Accumulates price-volume data within each time period (day, week, or month).
Previous VWAP Line Extension
When a new period begins, the final VWAP value of the previous period is stored.
A horizontal line is drawn at this level and extends across the current period.
Customizable Display
Enable/disable Daily, Weekly, and Monthly VWAPs independently.
Choose colors for VWAP and Previous VWAP lines.
Toggle labels for better visibility.
🔹 Why Use This Indicator?
📌 Identify Institutional Trading Zones – VWAP is widely used by hedge funds, banks, and algorithmic traders.
📌 Detect Key Support & Resistance Levels – Previous VWAP levels act as dynamic support and resistance.
📌 Improve Trade Entries & Exits – Use VWAP bounces and breaks for confirmation.
📌 Works on All Timeframes – Useful for scalpers, swing traders, and long-term investors.
🔹 Best Use Cases
📍 Trend Confirmation – Price above VWAP suggests an uptrend; below VWAP indicates a downtrend.
📍 Support & Resistance Trading – Use previous VWAP levels as key reaction zones.
📍 Breakout & Mean Reversion Strategies – Combine with price action for high-probability trades.
📢 Try it out and elevate your trading strategy with institutional-grade VWAP levels! 🚀
ReadyFor401ks Just Tell Me When!ReadyFor401ks Just Tell Me When!
LET ME START BY SAYING. NO INDICATOR WILL HELP YOU NAIL THE PERFECT ENTRY/EXIT ON A TRADE. YOU SHOULD ALWAYS EDUCATE YOURSELF AND HAVE A BASIC UNDERSTANDING OF INVESTING, TRADING, CHART ANALYSIS, AND THE RISKS INVOLVED WITH. THAT BEING SAID, WITH THE RIGHT ADJUSTMENTS, IT'S PRETTY D*$N CLOSE TO PERFECTION!
This indicator is designed to help traders identify t rend direction, continuation signals, and potential exits based on a dynamic blend of moving averages, ATR bands, and price action filters. Whether you’re an intraday trader scalping the 5-minute chart or a swing trader analyzing the weekly timeframe for LEAPS , this tool provides a clear, rule-based system to help guide your trading decisions.
⸻
Key Features & Benefits
🔹 Customizable Trend Power (Baseline) Calculation
• Choose from JMA, EMA, HMA, TEMA, DEMA, SMA, VAMA, and WMA for defining your baseline trend direction.
• The baseline helps confirm whether the market is in a bullish or bearish phase.
🔹 ATR-Based Trend Continuation & Volatility Measurement
• ATR bands dynamically adjust to market conditions, helping you spot breakouts and fakeouts.
• The indicator detects when price violates ATR range , which often signals impulse moves.
🔹 Clear Entry & Exit Signals
• Uses a Continuation MA (SSL2) to confirm trends.
• Includes a separate Exit MA (SSL3) that provides crossover signals to indicate when to exit trades or reverse positions .
• Plots trend continuation circles when ATR conditions align with trend signals.
🔹 Keltner Channel Baseline for Market Structure
• A modified Keltner Channel is integrated into the baseline to help filter out choppy conditions .
• If price remains inside the baseline, the market is in consolidation , while breakouts beyond the bands indicate strong trends .
🔹 Adaptive Color Coding for Market Conditions
• Bars change color based on momentum, making trend direction easy to read.
• Green = Bullish Trend, Red = Bearish Trend, Gray = Neutral/Chop.
🔹 Flexible Alerts for Trade Management
• Get real-time alerts when the Exit MA crosses price , helping you l ock in profits or switch directions .
⸻
How to Use This Indicator for Different Trading Styles
🟢 For Intraday Trading (5-Minute Chart Setup)
• Faster MA settings help react quickly to momentum shifts.
• Ideal for scalping breakouts, trend continuation setups, and intraday reversals.
• Watch for ATR violations and price interacting with the baseline/Keltner Channel for entries.
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My Settings for Intraday Trading on 5min Chart
ATR Period: 15
ATR Multi: 1
ATR Smoothing: WMA
Trend Power based off of: JMA
Trend Power Period: 30
Continuation Type: JMA
Continuation Length: 20
Calculate Exit of what MA?: HMA
Calculate Exit off what Period? 30
Source of Exit Calculation: close
JMA Phase *APPLIES TO JMA ONLY: 3
JMA Power *APPLIES TO JMA ONLY: 3
Volatility Lookback Period *APPLIES TO VAMA ONLY 30
Use True Range for Channel? Checked
Base Channel Multiplier: 0.4
ATR Continuation Criteria: 1.1
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🔵 For Swing Trading & LEAPS (Weekly Chart Setup - Default Settings)
• Slower MAs provide a broader view of trend structure.
• Helps capture multi-week trend shifts and confirm entry points for longer-term trades.
• Weekly ATR bands highlight when stocks are entering overextended conditions.
💡 Example:
Let’s say you’re looking at TSLA on a Weekly Chart using the default settings. You notice that price crosses above the continuation MA (SSL2) while remaining above the baseline (trend power MA). The bar turns green, and price breaks above ATR resistance, signaling a strong bullish continuation. This could be a great opportunity to enter a long-term swing trade or LEAPS options position.
On the flip side, if price reverses below the Exit MA (SSL3) and turns red while breaking the lower ATR band, it might signal a good time to exit longs or enter a short trade.
⸻
Final Thoughts
The ReadyFor401ks Just Tell Me When! indicator is an all-in-one trading system that simplifies trend-following, volatility measurement, and trade management. By integrating multiple moving average types, ATR filters, and clear visual cues, it allows traders to stay disciplined and remove emotions from their trading decisions.
✅ Perfect for scalpers, day traders, and swing traders alike!
🔔 Set up alerts for automated trade signals and never miss a key move!
💬 If you find this indicator useful, leave a comment and share how you use it in your trading! 🚀
Quarterly Theory ICT 02 [TradingFinder] True Open Session 90 Min🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system built on ICT (Inner Circle Trader) concepts and fractal time. It divides time into four quarters (Q1, Q2, Q3, Q4), and is designed based on the consistent repetition of these phases across all trading timeframes (annual, monthly, weekly, daily, and even shorter trading sessions).
Each cycle consists of four distinct phases: the first phase (Q1) is the Accumulation phase, characterized by price consolidation; the second phase (Q2), known as Manipulation or Judas Swing, is marked by initial false movements indicating a potential shift; the third phase (Q3) is Distribution, where price volatility peaks; and the fourth phase (Q4) is Continuation/Reversal, determining whether the previous trend continues or reverses.
🔵 How to Use
The central concept of this strategy is the "True Open," which refers to the actual starting point of each time cycle. The True Open is typically defined at the beginning of the second phase (Q2) of each cycle. Prices trading above or below the True Open serve as a benchmark for predicting the market's potential direction and guiding trading decisions.
The practical application of the Quarterly Theory strategy relies on accurately identifying True Open points across various timeframes.
True Open points are defined as follows :
Yearly Cycle :
Q1: January, February, March
Q2: April, May, June (True Open: April Monthly Open)
Q3: July, August, September
Q4: October, November, December
Monthly Cycle :
Q1: First Monday of the month
Q2: Second Monday of the month (True Open: Daily Candle Open price on the second Monday)
Q3: Third Monday of the month
Q4: Fourth Monday of the month
Weekly Cycle :
Q1: Monday
Q2: Tuesday (True Open: Daily Candle Open Price on Tuesday)
Q3: Wednesday
Q4: Thursday
Daily Cycle :
Q1: 18:00 - 00:00 (Asian session)
Q2: 00:00 - 06:00 (True Open: Start of London Session)
Q3: 06:00 - 12:00 (NY AM)
Q4: 12:00 - 18:00 (NY PM)
90 Min Asian Session :
Q1: 18:00 - 19:30
Q2: 19:30 - 21:00 (True Open at 19:30)
Q3: 21:00 - 22:30
Q4: 22:30 - 00:00
90 Min London Session :
Q1: 00:00 - 01:30
Q2: 01:30 - 03:00 (True Open at 01:30)
Q3: 03:00 - 04:30
Q4: 04:30 - 06:00
90 Min New York AM Session :
Q1: 06:00 - 07:30
Q2: 07:30 - 09:00 (True Open at 07:30)
Q3: 09:00 - 10:30
Q4: 10:30 - 12:00
90 Min New York PM Session :
Q1: 12:00 - 13:30
Q2: 13:30 - 15:00 (True Open at 13:30)
Q3: 15:00 - 16:30
Q4: 16:30 - 18:00
Micro Cycle (22.5-Minute Quarters) : Each 90-minute quarter is further divided into four 22.5-minute sub-segments (Micro Sessions).
True Opens in these sessions are defined as follows :
Asian Micro Session :
True Session Open : 19:30 - 19:52:30
London Micro Session :
T rue Session Open : 01:30 - 01:52:30
New York AM Micro Session :
True Session Open : 07:30 - 07:52:30
New York PM Micro Session :
True Session Open : 13:30 - 13:52:30
By accurately identifying these True Open points across various timeframes, traders can effectively forecast the market direction, analyze price movements in detail, and optimize their trading positions. Prices trading above or below these key levels serve as critical benchmarks for determining market direction and making informed trading decisions.
🔵 Setting
Show True Range : Enable or disable the display of the True Range on the chart, including the option to customize the color.
Extend True Range Line : Choose how to extend the True Range line on the chart, with the following options:
None: No line extension
Right: Extend the line to the right
Left: Extend the line to the left
Both: Extend the line in both directions (left and right)
Show Table : Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info : Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
The Quarterly Theory ICT, by dividing time into four distinct quarters (Q1, Q2, Q3, and Q4) and emphasizing the concept of the True Open, provides a structured and repeatable framework for analyzing price action across multiple time frames.
The consistent repetition of phases—Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal—allows traders to effectively identify recurring price patterns and critical market turning points. Utilizing the True Open as a benchmark, traders can more accurately determine potential directional bias, optimize trade entries and exits, and manage risk effectively.
By incorporating principles of ICT (Inner Circle Trader) and fractal time, this strategy enhances market forecasting accuracy across annual, monthly, weekly, daily, and shorter trading sessions. This systematic approach helps traders gain deeper insight into market structure and confidently execute informed trading decisions.
Opening Price Deviations with AlertsOverview
The Timeframe Opening Price Deviations indicator helps traders visualize how price deviates from a key reference point—the opening price of a selected timeframe (Daily, Weekly, or Monthly). It calculates upper and lower deviation levels based on a percentage step and plots these levels on the chart. This can help traders identify potential areas of support and resistance.
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How It Works
Opening Price Reference:
The script retrieves the opening price of the selected timeframe (Daily, Weekly, or Monthly).
Deviation Levels Calculation:
Five upper and lower deviation levels are calculated based on a percentage step input by the user.
Each level is determined by multiplying the opening price by (1 ± step size).
Visualization
The indicator plots the calculated levels as horizontal lines above and below the opening price.
Labels appear only on the latest bar, displaying the exact price level along with its percentage deviation from the opening price.
User has the option to turn on/off or change the bar colours. If price is within the 1st deviation lines that's considered neutral coloured orange as default. If price is above/below the first deviation levels the bar colours will be green or red.
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Potential Use Cases
Support & Resistance Zones 🟢🔴
The deviation levels can act as potential areas where price may reverse or consolidate based on historical price behaviour.
Breakout & Reversion Strategies 📈📉
If price breaks above an upper deviation level, it could indicate momentum continuation.
If price rejects from a level, it might suggest a mean reversion opportunity.
Trend Strength Analysis 🔍
The distance between the price and deviation levels can help traders assess whether a trend is strong (moving away from the opening price) or weak (hovering near the opening price).
Intraday vs. Multi-Timeframe Perspective 🕒
By selecting different timeframes (Daily, Weekly, Monthly), traders can align intraday price movements with higher timeframe reference points for added confluence.
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Customization Options
Timeframe Selection: Choose between Daily, Weekly, or Monthly opening prices.
Deviation Step (%): Adjust the step size to control the spacing between deviation levels.
Colour Bars: User Is able to change the colour of the bars.
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Alerts
This Indicator also has alerts for when price crosses above/below a deviation line. It will tell you the ticker, price and time
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Final Notes
This indicator is purely for technical analysis and should not be used as a standalone trading system. It works best when combined with price action, volume analysis, or other indicators of you're choosing to refine trade decisions.
Happy Trading! 🚀📊
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This explanation is clear, informative, and compliant with TradingView’s House Rules.
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
TrendPredator FOTrendPredator Fakeout Highlighter (FO)
The TrendPredator Fakeout Highlighter is designed to enhance multi-timeframe trend analysis by identifying key market behaviors that indicate trend strength, weakness, and potential reversals. Inspired by Stacey Burke’s trading approach, this tool focuses on trend-following, momentum shifts, and trader traps, helping traders capitalize on high-probability setups.
At its core, this indicator highlights peak formations—anchor points where price often locks in trapped traders before making decisive moves. These principles align with George Douglas Taylor’s 3-day cycle and Steve Mauro’s BTMM method, making the FO Highlighter a powerful tool for reading market structure. As markets are fractal, this analysis works on any timeframe.
How It Works
The TrendPredator FO highlights key price action signals by coloring candles based on their bias state on the current timeframe.
It tracks four major elements:
Breakout/Breakdown Bars – Did the candle close in a breakout or breakdown relative to the last candle?
Fakeout Bars (Trend Close) – Did the candle break a prior high/low and close back inside, but still in line with the trend?
Fakeout Bars (Counter-Trend Close) – Did the candle break a prior high/low, close back inside, and against the trend?
Switch Bars – Did the candle lose/ reclaim the breakout/down level of the last bar that closed in breakout/down, signalling a possible trend shift?
Reading the Trend with TrendPredator FO
The annotations in this example are added manually for illustration.
- Breakouts → Strong Trend
Multiple candles closing in breakout signal a healthy and strong trend.
- Fakeouts (Trend Close) → First Signs of Weakness
Candles that break out but close back inside suggest a potential slowdown—especially near key levels.
- Fakeouts (Counter-Trend Close) → Stronger Reversal Signal
Closing against the trend strengthens the reversal signal.
- Switch Bars → Momentum Shift
A shift in trend is confirmed when price crosses back through the last closed breakout candles breakout level, trapping traders and fuelling a move in the opposite direction.
- Breakdowns → Trend Reversal Confirmed
Once price breaks away from the peak formation, closing in breakdown, the trend shift is validated.
Customization & Settings
- Toggle individual candle types on/off
- Customize colors for each signal
- Set the number of historical candles displayed
Example Use Cases
1. Weekly Template Analysis
The weekly template is a core concept in Stacey Burke’s trading style. FO highlights individual candle states. With this the state of the trend and the developing weekly template can be evaluated precisely. The analysis is done on the daily timeframe and we are looking especially for overextended situations within a week, after multiple breakouts and for peak formations signalling potential reversals. This is helpful for thesis generation before a session and also for backtesting. The annotations in this example are added manually for illustration.
📈 Example: Weekly Template Analysis snapshot on daily timeframe
2. High Timeframe 5-Star Setup Analysis (Stacey Burke "ain't coming back" ACB Template)
This analysis identifies high-probability trade opportunities when daily breakout or down closes occur near key monthly levels mid-week, signalling overextensions and potentially large parabolic moves. Key signals for this are breakout or down closes occurring on a Wednesday. This is helpful for thesis generation before a session and also for backtesting. The annotations in this example are added manually for illustration. Also an indicator can bee seen on this chart shading every Wednesday to identify the signal.
📉 Example: High Timeframe Setup snapshot
3. Low Timeframe Entry Confirmation
FO helps confirm entry signals after a setup is identified, allowing traders to time their entries and exits more precisely. For this the highlighted Switch and/ or Fakeout bars can be highly valuable.
📊 Example (M15 Entry & Exit): Entry and Exit Confirmation snapshot
📊 Example (M5 Scale-In Strategy): Scaling Entries snapshot
The annotations in this examples are added manually for illustration.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
None of the information provided shall be considered financial advice.
Users are fully responsible for their trading decisions and outcomes.
Auto Gannbox by BULL┃NETThe B | N GABO (Auto Gannbox by BULL | NET)
indicator helps traders to draw a Gann Box with Angles and Arches automatically. Unlike the many other Gann indictors available at TradingView B | N GABO takes an objective approach to calculate the Price/Time ratio which is the most important part of drawing a Gann Box.
█ ⚠️ DISCLAIMER – READ BEFORE YOU USE ⚠️
█ CONCEPTS
William Delbert Gann used geometric constructions to divide time and price into proportionate parts to predict price development and areas of resistance and support. If you are new to Gann theories you should read about it on the internet.
W.D. Gann never revealed all details about his theory. One of those secrets it how he determined the essential 45° degree line which denotes the 1:1 ratio between price and time. Many people believe the 45° is due to the use of graph paper on which stock prices were drawn in the past. In my opinion, this theory fails precisely because of the price. Even back in time different stocks and commodities had different prices. So what should have been specified on the Y-axis?
Others believe there was no rule of construction at all and that Gann simply drew lines between pivot points. Gann was obsessed by Geometry. It makes no sense to think he had no plan. And if this would be true the Angles would be the result of how the graph paper has been manufactured.
Long story short, we don’t know exactly how he did it, and even studying his drawings leaves us guessing. I’m deeply interested in the objective assessment of facts. If something can’t be reproduced consistently, then it was just luck or coincidence. That’s why I’ve developed my own approach, combining objectivity, geometry, and time into a system that allows us to automatically determine a 45° line on the chart for any asset in any timeframe (see limitations section).
Think about the lifecycle of a tree: it’s planted, grows, may be struck by lightning, decays, and eventually vanishes. Apply this concept to the price of an asset. It starts at a low, rises to a peak, and then decreases to the next low. If we measure the time between the first low and the high, we get a ratio between duration and growth. By applying this ratio to a line starting at the high and moving in the opposite direction, we can determine whether the price is falling faster or slower than it took to rise.
By constructing a Gann Box around this line, with the 45° line as the anchor and adding other angles and arcs, we can get a better sense of how the price might develop over time. This interpretation draws inspiration from the principles of geometry and time-based analysis, and reflects my own unique take on market behavior.
The B | N GABO indicator uses meaningful pivot points on the chart to determine cycles. This is an objective approach that takes momentum into account. Similar to a tree, there are times of slower growth or accelerated decay. The pivot levels are based on the time frame. For example, when looking at a weekly chart, a cycle lasting at least 3 months would be considered meaningful. Therefore, the indicator uses Level 10 pivot points (a high with 10 lower highs or a low with 10 higher lows on each side) on a weekly chart. Instead of doing this automatically, you can set the pivot level manually. (See limitations section)
█ FEATURES
As with all my indicators B | N GABO his highly customizable.
— PIVOPOINT OPTIONS
The most important setting is how pivot points get calculated. By default the pivot level is selected automatically according to the timeframe of the chart.
Level 12 for 1 Hour Timeframe (minimum cycle of 25 hours or round about 3 trading days at the NYSE)
Level 15 for 4 Hours Timeframe (minimum cycle of 64 hours or round about 10 trading days at the NYSE)
Level 10 for any other Timeframe below 1 Day
Level 21 for Daily Timeframe (minimum cycle of 43 Trading days or round about 9 weeks)
Level 10 for any other Timeframe below Weekly
Level 6 for Weekly Timeframe and above
● Pivot Selection
You can switch to manual selection if you want or need to use other pivot level settings.
● Manual Length
The number you enter determines the amount of higher/lower bars needed to form a pivot point form a Low or High. Keep the limitations in mind (see limitations section)
● Display Pivotpoints
By default each calculated pivot point is marked on the chart as GH (Gann High) or GL (Gann Low). You can disable the display if you prefer a clean chart.
● Label
● Active
● Removed
● Size
If you display pivot points you can set the background color of the pivot label, the text color for active and removed pivot points and the size.
A removed pivot point shows pivot points that haven been superseded by a later pivot point in the same direction. Although removed pivot points can never become an anchor for a Gann Box they can tell you something about price momentum.
— GANN BOX OPTIONS
● Enable GANN
By default the active Gann Box is displayed on the chart. If you want to work with the pivot points only i.e. while testing the combination of indicators you can disable drawing the Gann Box.
● Show Info
By default you see the following informational labels around the Gann Box:
63.75° Angle (1x2), 45° Angle, 26.25° Angle (2x1) for better orientation
The current pivot length which is the level you set in the pivot point options or which has been selected automatically.
The Price/Bar ratio which you can use in the chart settings to fix the ratio. This will give you a perfect square.
Disable the display if you don’t need it or if you want a cleaner chart.
● Label
● Size
● Text
Label background color, label size and text color are used across all available labels.
● Time/Price Line
● Style
● Width
This settings define the appearance of the price (horizontal) and time (vertical) lines which define the squares the Gann Box is built with.
— GANN ANGLE OPTIONS
● Angle Line
● Style
● Width
Like with the Price/Time lines above you can fully customize the Angle lines drawn in the Gann Box. Select a line color, style and width to your likings.
● Angle Checkboxes
By default the 1, 2, 4 and 8 relation angles are drawn. The 1 to 1 (45°) can’t be disabled. In addition you can enable the 1.5 and 3 relation angles. Relation is meant as time units per price units.
● Enable 45° Watch
By default the indicator will check whether the price is above or below the 45° angle and change its color accordingly. It is a quick way to tell you whether the rise or fall of momentum is accelerating compared to the time period (Gann Box) before.
● Above
● Below
● Style
● Width
Change the 45° line color separately for price above and below the line, style and width to your likings.
— GANN ARC OPTIONS
● Arc Line
● Style
● Width
Like with the Angle lines above you can fully customize the Arc lines drawn in the Gann Box. Select a line color, style and width to your likings.
● Enable ARC Cross Labels
By default the indicator displays the price at which the current bar would hit or cross an arc line. Disable it if you want a cleaner chart.
● Label
● Text
● Size
● Position
With this settings you customize the color of the label and text, it’s size and whether the label should be moved to the left. This settings apply to the Cross 45° Label as well.
— DISPLAY OPTIONS
● 2 Decimals
To streamline the appearance of prices they are set to display two decimals only. Numbers get rounded! However, trading currency pairs or crypto assets might need to display the full amount of decimals. In this case simply disable the setting “2 Decimals”.
● Enable TF Warning
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Disclaimer BullNet: The information provided in this document is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Any use of the content is at your own risk. No liability is assumed for any losses or damages resulting from reliance on this information. Trading financial instruments involves significant risks, including the potential loss of all invested capital. There is no guarantee of profits or specific outcomes. Please conduct your own research and consult a professional financial advisor if needed.
Disclaimer TradingView: According to the www.tradingview.com
Copyright: 2025-BULLNET - All rights reserved.
Roadmap:
Version 1.0 03.03.2025
