Volume Profile cheap copyIn the absence of TradingView's open-source Volume Profile (hereinafter referred to as VP) indicator code, I have replicated it. However, because this code is classified as an "indicator" rather than a "tool," it cannot allow users to define the range according to their preferences. In the code, I have set different periods, and users can input 0, 1, or 2 to let the indicator calculate the volume distribution from the earliest candle to the latest candle within the daily, weekly, or monthly range, respectively.
How can we prove that this code is consistent with TradingView's algorithm?
Firstly, the calculation or drawing process of VP starts from the earliest candle in the selected range. After calling TradingView's built-in "Fixed Range Volume Profile" (FRVP) tool, you can enter the settings interface of the tool and check both "developing POC" and "Value Area (VA)." The paths of POC, VAH, and VAL will appear in the chart. These paths are the changes in the values of POC, VAH, and VAL as the number of candles increases. If the paths shown by my indicator are the same as those shown by TradingView's VP indicator, then it proves the algorithms are consistent. Since VP itself is calculated based on volume, the high and low points of candles, and the opening and closing prices, if the data sources are consistent, the calculation results (the paths of POC, VAH, and VAL) will remain consistent over time. This can be used to infer that the algorithms are consistent. Additionally, the parameters of the two indicators (number of rows and value area ratio) must be the same to verify consistency. The number of rows in the indicator is usually set to 100 by default, and the value area ratio is 70. Therefore, the parameters in FRVP should also be set to 100 rows and a value area volume of 70.
Why is there a noticeable discrepancy?
When the start and end points of the VP remain unchanged, reducing the chart's time frame can improve accuracy. For example, when calculating the weekly VP, switching from a 1-hour time frame to a 5-minute time frame can make the indicator more closely match TradingView's native VP. Tests have shown that TradingView's native VP may not use the data displayed on the current chart for its calculations. For instance, the VP may use data from the 5-minute time frame even if the chart is displayed in the 1-hour time frame. However, my replicated VP calculates based on the chart's data, so differences in time frames will affect accuracy.
Current algorithm deficiencies
This replicated VP code is merely a demo and does not handle data updates. In other words, after the latest candle closes, the VP needs to be recalculated, but this recalculation step is not handled, which will cause errors. To resolve this issue, you only need to switch the time frame or delete the indicator and re-add it.
Cerca negli script per "weekly"
Auto Anchored Volume ProfileAuto Anchored Volume profile indicator to identify potential support and resistance zones, along with weak and strong Point of Control (POC) levels.
Understanding the Concepts:
Volume Profile: This chart depicts trading activity at various price levels over a chosen timeframe. Higher volume areas represent price levels where most buying and selling happened.
Point of Control (POC): The price level with the highest volume traded within the timeframe. It represents the price where most agreement existed between buyers and sellers.
High Volume Nodes (HVN): Areas on the volume profile with significantly higher volume compared to surrounding areas. These can indicate potential support or resistance.
Delta (Sentimental): This volume profile type shows the difference between buying and selling volume at each price level. Positive delta indicates buying dominance, while negative delta suggests selling pressure.
Strategy Breakdown:
Identify Volume Shelves:
Look for areas with concentrated volume on the profile. These areas, called shelves, can act as support (high volume at lower prices) or resistance (high volume at higher prices).
Analyze POC Strength (POC Volume Percentage):
Calculate the Volume Percentage: (Volume at Price Level / Maximum HVN Volume over the Period) * 100
This ratio indicates the significance of the POC relative to the strongest volume area.
A high percentage suggests a strong POC, potentially indicating a more reliable support or resistance level.
A low percentage suggests a weak POC, with a higher chance of price breaking through that level.
Leverage Previous Session Data:
The strategy incorporates data from the previous session's POC and Highest Delta Node. These are displayed on the right side of the chart, extending the volume profile for reference.
Identify if the current price is trading above or below the previous session's POC. This can provide context for potential price direction.
The Highest Delta Node from the previous session indicates areas of strong buying or selling sentiment that might carry over to the current session.
Additional Anchor Point Types:
Pivot Points and Fixed Range Volume Profile can be added for further confirmation of support and resistance zones.
Pivot points are calculated automatically based on the price changes direction
Fixed Range Volume Profile focuses on a specific price range, allowing detailed analysis within that zone.
Timeframe Considerations(AUTO):
The resolution for calculating pivot points is determined automatically:
- For intraday resolutions up to and including 15 minutes, the daily (1D) timeframe is used.
- For intraday resolutions more than 15 minutes, the weekly (1W) timeframe is used.
- For daily resolutions, the monthly (1M) timeframe is used.
- For weekly and monthly resolutions, the 12-month (12M) timeframe is used.
Trading with the Strategy:
Look for price approaching a volume shelf identified on the profile.
Analyze the POC Volume Percentage to gauge the strength of the POC as potential support or resistance.
Consider the previous session's POC and Highest Delta Node for additional context.
Combine volume profile insights with other technical indicators and price action confirmation for entry and exit signals.
Remember, strong POCs with high volume shelves suggest more reliable support/resistance, while weak POCs indicate a higher chance of price movement beyond that level.
Important Notes:
Volume profile is a tool to identify potential trading zones, not a guaranteed predictor of future price movements.
Always practice proper risk management techniques, including stop-loss orders.
Backtest this strategy on historical data to understand its effectiveness before risking real capital.
By understanding volume distribution and POC strength, this strategy can help you make informed trading decisions based on where most buying and selling activity has occurred. Remember, a comprehensive trading approach that considers multiple factors is crucial for success.
Quarterly H/L [Dango]Introducing the Quarterly High and Low Indicator, a powerful and original tool designed to enhance your understanding of price action by identifying key turning points within quarterly cycles. This innovative script accurately determines the most significant highs and lows in each quarter, providing valuable insights for traders.
Key Features:
- Identifies and displays quarterly highs and lows on 90-minute, daily, weekly, monthly, and yearly timeframes
- Employs advanced algorithms and a deep understanding of cycle theory to precisely pinpoint key turning points
- Accounts for subtle nuances in price action and market dynamics
- Intended to be used in conjunction with the Quarterly Cycles Indicator for further confluence
How It Works:
The Quarterly High and Low Indicator utilizes a proprietary algorithm to meticulously analyze price action within each quarter. This advanced formula takes into account multiple factors, such as price momentum, volatility, and volume, to accurately identify the most significant high and low points.
The script employs a multi-step process to determine the quarterly highs and lows:
1. Cycle Isolation: The indicator first isolates the price action within each quarter, focusing on the specific time frame being analyzed (90-minute, daily, weekly, monthly, or yearly).
2. Momentum Analysis: The script then analyzes the price momentum within each quarter, identifying periods of strong bullish or bearish sentiment. This helps to narrow down potential high and low points.
3. Volatility and Volume Confirmation: To further refine the identification of key turning points, the indicator assesses the volatility and volume characteristics surrounding potential highs and lows. Significant changes in volatility and volume often accompany important price reversals.
4. Proprietary Scoring System: The algorithm assigns scores to each potential high and low point based on a proprietary scoring system. This system takes into account the confluence of momentum, volatility, and volume factors to determine the most significant turning points within each quarter.
The Quarterly High and Low Indicator visually represents these key turning points on the chart, enabling traders to easily identify potential support and resistance levels, trend reversals, and optimal entry and exit points. By focusing on the most significant price levels within each quarter, the indicator helps traders cut through the noise and make more informed trading decisions.
Expected Usage:
The Quarterly High and Low Indicator is designed to be a valuable tool for traders seeking to gain a deeper understanding of price action and market dynamics. By mapping out the most significant high and low points within each quarter, the indicator provides users with key levels to watch for potential trend reversals, support, and resistance.
1. Identifying Pivots and Reversals: The quarterly highs and lows identified by the indicator serve as critical levels where price is more likely to pivot or reverse. Traders can use these levels to anticipate potential trend changes and adjust their trading strategies accordingly.
2. Backtesting and Historical Analysis: The indicator enables traders to analyze historical price action and assess how the market has reacted to quarterly high and low levels in the past. By backtesting their strategies using these key levels, traders can gain valuable insights into the effectiveness of their approach and make data-driven refinements.
3. Support and Resistance: Quarterly highs and lows often act as significant support and resistance levels. Traders can use the indicator to identify these key areas and plan their trades around them. For example, if price approaches a quarterly high, traders may watch for potential selling pressure and consider taking profits or initiating short positions.
4. Confirmation and Confluence: The Quarterly High and Low Indicator can be used in conjunction with other technical analysis tools to confirm trade setups and increase confidence in trading decisions. When multiple indicators or analysis techniques align with the quarterly highs and lows, it provides a stronger signal for potential trade entry or exit points.
5. Risk Management: By understanding the location of quarterly highs and lows, traders can make more informed decisions about stop-loss placement and position sizing. Setting stop-losses beyond these key levels can help mitigate the risk of getting stopped out prematurely due to short-term price fluctuations.
6. Combining with the Quarterly Cycles Indicator: The Quarterly High and Low Indicator is intended to be used alongside the Quarterly Cycles Indicator for further confluence and validation. By analyzing the relationship between the identified quarterly highs and lows and the underlying quarterly cycles, traders can gain a more comprehensive understanding of market dynamics and potential turning points. When the quarterly highs and lows align with the key phases of the quarterly cycles, it provides a stronger signal for potential trend changes and trading opportunities.
Incorporating the Quarterly High and Low Indicator into a trading strategy, along with the Quarterly Cycles Indicator, allows traders to develop a more comprehensive understanding of price action and make better-informed decisions. By backtesting and analyzing how price reacts around these key levels and cycles, traders can refine their approach and potentially improve their trading outcomes.
Limitations and Disclaimer:
While the Quarterly High and Low Indicator is a powerful tool, it should not be used in isolation. Traders should combine the insights gained from this indicator with other forms of analysis, such as the Quarterly Cycles Indicator, fundamental analysis, risk management, and sound trading psychology, to develop a well-rounded and effective trading approach.
Please note that the indicator's accuracy may be impacted by extreme market volatility or unusual events, and quarterly highs and lows should not be relied upon in isolation. As with any trading tool, individual results may vary, and past performance does not guarantee future outcomes. Traders should always exercise caution, use appropriate risk management techniques, and continuously educate themselves to adapt to changing market conditions.
This indicator is provided for educational purposes only and should not be considered financial advice. Always conduct your own due diligence and consult with a financial professional before making any trading decisions.
Privacy of Code:
The underlying logic and specific calculations used in the proprietary algorithm are not disclosed to protect the intellectual property of the script. The advanced formula and scoring system used to identify quarterly highs and lows are the result of extensive research, testing, and refinement. By keeping these details confidential, the script maintains its competitive edge and ensures the protection of its intellectual property.
Day of Week 🔶What it is ?
Day of week indicator is a simple tool to help you can know your current trading day faster.
It is really useful if you're a swing trader managing target by week and manage weekly economic news.
🔶 Who can use it ?
1. All traders who are using NCI, ICT , Smart money concepts, MACD system and other systems...
2. All timeframes can use it well.
3. All traders who are trading on Forex, Crypto, Stock, Indicies...
4. All traders who are new or experienced traders
5. All traders can use it even scalping or swing traders.
🔶 The purpose of indicator
1. Define day of week faster
2. Remind you about day of week, just focus to trade from Tue - Fri if you're a weekly trader.
3. You can combine it to analyze with economic news to manage your positions during news better.
🔶 How will indicator appear on chart
After you added it on chart, indicator will mearsure and appear on the chart automatically.
Red color : That's today
Green color : Other trading day that's not today
Gray color : Weekend
🔶 INPUT value
There're 3 input value that you can change if you need :
1. Font size : You can change size of texts manually as your favorite
2. Location : You can change location of table to be easier to see it on chart.
3. Your time zone : You should choose your country's time zone to calcuate exactly.
🔶 How to use indicator
After setting indicator, indicator will mearsure and run automatically to mark today to help you know how many days you can trade and arrange trading schedule better.
You can combine this indicator with economic news to manage your positions better.
I hope this indicator help you to trade more effectively.
Fib Pivot Points HLThis TradingView indicator allows users to select a specific timeframe (TF) and then analyzes the high, low, and closing prices from the past period within that TF to calculate a central pivot point. The pivot point is determined using the formula (High + Close + Low) / 3, providing a key level around which the market is expected to pivot or change direction.
In addition to the central pivot point, the indicator enhances its utility by incorporating Fibonacci levels. These levels are calculated based on the range from the low to the high of the selected timeframe. For instance, a Fibonacci level like R0.38 would be calculated by adding 38% of the high-low range to the pivot point, giving traders potential resistance levels above the pivot.
Key features of this indicator include:
Timeframe Selection: Users can choose their desired timeframe, such as weekly, daily, etc., for analysis.
Pivot Point Calculation: The indicator calculates the pivot point based on the previous period's high, low, and closing prices within the selected timeframe.
Fibonacci Levels: Adds Fibonacci retracement levels to the pivot point, offering traders additional layers of potential support and resistance based on the natural Fibonacci sequence.
This indicator is particularly useful for traders looking to identify potential turning points in the market and key levels of support and resistance based on historical price action and the Fibonacci sequence, which is widely regarded for its ability to predict market movements.
Example:
Suppose you're analyzing the EUR/USD currency pair using this indicator with a weekly timeframe setting. The previous week's price action showed a high of 1.2100, a low of 1.1900, and the week closed at 1.2000.
Using the formula ( High + Close + Low ) / 3 (High+Close+Low)/3, the pivot point would be calculated as ( 1.2100 + 1.2000 + 1.1900 ) / 3 = 1.2000. Thus, the central pivot point for the current week is at 1.2000.
The range from the low to the high is 1.2100 − 1.1900 = 0.0200 1.2100−1.1900=0.0200.
To calculate a specific Fibonacci level, such as R0.38, you would add 38% of the high-low range to the pivot point: 1.2000 + ( 0.0200 ∗ 0.38 ) = 1.2076 1.2000+(0.0200∗0.38)=1.2076. Thus, the R0.38 Fibonacci resistance level is at 1.2076.
Similarly, you can calculate other Fibonacci levels such as S0.38 (Support level at 38% retracement) by subtracting 38% of the high-low range from the pivot point.
Traders can use the pivot point as a reference for the market's directional bias: prices above the pivot point suggest bullish sentiment, while prices below indicate bearish sentiment. The Fibonacci levels act as potential stepping stones for price movements, offering strategic points for entry, exit, or placing stop-loss orders.
True Opens [Dango]Description:
This True Open Indicator for Quarterly Theory is designed to assist traders in studying and backtesting Quarterly Theory, a time-based approach to interpreting market cycles. Quarterly Theory, as introduced by the Inner Circle Trader, suggests that time must be divided into quarters for proper analysis of market cycles.
Key concepts of Quarterly Theory:
The yearly cycle consists of four quarters, each comprising three months.
The monthly cycle consists of four quarters, each representing one week (excluding partial weeks).
The weekly cycle consists of four quarters, each representing one day (Monday to Thursday).
The daily cycle consists of four quarters, each representing six hours, aligning with the four main trading sessions (Asian, London, New York, and afternoon).
This indicator plots the true opens, which are crucial reference points in Quarterly Theory. True opens are the opening prices of the second quarter (Q2) of each cycle. They serve as a time-based filter for gauging market swings and determining entry points. When bullish, traders aim to buy below the true open, and when bearish, they aim to sell above it.
The true opens plotted by this indicator include:
Yearly true open
Monthly true open
Weekly true open
Daily true open
Asian session true open
London session true open
New York session true open
Afternoon session true open
The exact times of these true opens are not disclosed, as they are calculated using a proprietary method to ensure accuracy and reliability.
By clearly delineating these true opens on the chart, this indicator serves as a handy visual reference for those who have studied Quarterly Theory. It enables traders to easily identify these key reference points while studying price action across various time frames. It helps traders make informed decisions based on the principles of Quarterly Theory, enhancing their understanding of market cycles and potentially improving the accuracy of their trades.
To effectively utilize this indicator, traders should have a basic understanding of Quarterly Theory and its underlying concepts. The indicator can be used in conjunction with other tools and strategies to analyze price action and make trading decisions.
Please note that while this indicator is designed to assist in studying Quarterly Theory, it should not be considered a standalone trading system. Traders should always exercise caution and use appropriate risk management techniques when trading.
Originality and Usefulness:
This True Open Indicator for Quarterly Theory is a unique tool designed specifically to assist traders in studying and applying the concepts of Quarterly Theory. While there may be other indicators that plot certain opening prices, this indicator stands out by comprehensively plotting all the true opens across various time frames, as defined by Quarterly Theory. Not all
The key unique features of this indicator are:
It plots true opens based on the specific rules of Quarterly Theory, which are not commonly found in other indicators.
It covers a wide range of time frames, from yearly and monthly down to intraday sessions, providing a comprehensive view of market cycles.
The plotted true opens serve as time-based filters for gauging market swings and determining entry points, which is a distinct approach based on Quarterly Theory.
The true opens are calculated using a proprietary method that ensures accuracy and reliability.
The source code of this indicator is kept closed to protect the intellectual property and the proprietary algorithms used to accurately identify and plot the true opens based on Quarterly Theory. The closed-source nature also ensures that the indicator remains reliable and consistent, as it prevents unauthorized modifications that could lead to incorrect or misleading results.
By offering a unique and comprehensive tool for studying Quarterly Theory, this indicator provides significant value to traders seeking to enhance their understanding of market cycles and improve their trading accuracy. The closed-source approach is necessary to maintain the integrity and effectiveness of this specialized indicator.
[FXAN] 77 Cygni Algorithm (Swing Trading)⚜️ FXAN CYGNI INDICATORS ORIGINALITY
Originality comes from proprietary formula we use to measure the relationship between Volume and Price Volatility in relation to overall current market positioning in developing Volume Profile and multiple custom period Volume Profiles. We combine that with our own approach to measure price velocity in correlation to average daily/weekly/monthly ranges of the given market.
The relationship between current volume and price volatility gives us information about how much the volume that is currently coming into the market affects the price movement (volatility) and which side is more dominant/involved in the market (Buyers/Sellers). We call this the "Volume Impact" factor.
This information is then compared in relation to the overall current market positioning in developing Volume Profile and Multiple custom period Volume Profiles. We have created a rating system based on current price positioning in relation to the Volume Profile. Volume profile consists of different volume nodes, high volume nodes where we consider market interest to be high (a lot of transactions - High Volume) and low volume nodes where we consider market interest to be low (not a lot of transactions - Low Volume). We call this the current "Market Interest" factor.
We combine this information with our own approach to measure price velocity in correlation to the higher-timeframe price ranges. Calculation is done by measuring current ranges of market movement in correlation to average daily/weekly/monthly ranges. We call this "Price Velocity" factor.
This approach was applied to develop key components of our Tradingview Indicators, we've simplified some of the calculations and made them easy to use by programming them to display buying/selling volume pressure with colors.
In addition to our own proprietary formulas and criterias to measure volume impact on price, we've also used an array of indicators that measure the percentage change in volume over custom specified periods of time, including custom period ranged Volume Profile, Developing VA, Accumulation/Distribution (A/D Line), Volume Rate of Change (VROC), Volume Price Trend (VPT) - all of them with of course fine-tuned settings to fit the purpose in the overall calculation.
Reasons for multiple indicator use:
Custom period ranged Volume Profiles: To determine current interest of market participants. Used for "Market Interest"
Developing VA: To determine current fair price of the market (value area). Used for "Market Interest".
Accumulation/Distribution (A/D Line): Helping to gauge the strength of buying and selling pressure. Used for "Volume Impact"
Volume Rate of Change (VROC): To give us information about percentage change in volume. Used for "Volume Impact"
Volume Price Trend (VPT): To help identify potential trends. Used for "Volume Impact".
Average True Range (ATR): Used for measuring volatility. Used for "Volume Impact" and "Price Velocity".
Average Daily Range (ADR): Used for measuring average market price movement. Used for "Price Velocity".
How it all works together:
"Volume Impact" factor tells us the influence of incoming market volume on price movement. This information alongside the overall market positioning information derived from "Market Interest" factor combined with information about speed and direction relative to higher-timeframe price ranges frin "Price Velocity.
This is the basis of our proprietary developed Volume Dynamics analysis approach
"Volume Impact" x "Market Interest" x "Price Velocity"
Combining this factors together gives a good overall understanding of which side is currently more involved in the market to gauge the direction ("Volume Impact"), where the market is currently positioned to gauge the context ("Market Interest") and what the current market's momentum to improve the timing of our trades ("Price Velocity"). This increases our probabilities for successful trades, executed with good timing.
To simplify - our indicators will always analyze the volume behind every price movement and rate those movements based on the relationship between movement distance and volume behind it through an array of criterias and rate them.
Colors displayed by the indicators will be a result of that, suggesting which side of the market (Buyers or sellers) is currently more involved in the market, aiming to increase the probabilities for profitable trades. With the help of our indicators you have deep volume analysis behind price movements done without looking at anything else then indicator components.
🔷 OVERVIEW
Cygni 77 Algorithm is a TradingView indicator designed to help determine higher timeframe market context and long-term market sentiment and trends. It analyzes the underlying volume behind market movements and colors the candles with the help of formulas that include technical analysis and market price action. It caters to traders looking for swing trading setups or additional perspectives for day trading sentiment.
🔷 KEY FEATURES
▊ Candle Coloring
▊ Dynamic Support & Resistance Lines
▊ Dots | Above and below the candles
▊ Colored Bar | on the bottom of the chart
🔷 HOW DOES IT WORK?
□ Candle colors will indicate the general market trend from the technical analysis perspective. The calculation for this component uses price action concepts and segments from technical analysis, for example, candle/price structural breaks. Volume is not used for calculations of this component.
□ Dynamic Support & Resistance Lines indicate the current market structure from the technical analysis perspective. The calculation uses pure price action and structural analysis of the current market movements.
□ Candle Dots show what are the mid-term volume dynamics in the market by referencing the daily average price weighted by volume with the periods ranging from days to weeks. Candle Dots suggest what is the likely direction of the market's trend from the mid-term perspective. If the market is bullish, you’ll see the green dots printed below the candles, and if the market is bearish, the dots will color red and print above the candles.
□ Colored Bar analyzes long-term volume dynamics and the market's price action for the past three to six weeks, referencing average price weighted by volume. This makes it much less sensitive than the Candle Dots, so the colors won't change that often. If the market is bullish, you’ll see the green bars, and if the market is bearish, the bars will color red.
🔷 HOW TO USE IT?
□ In general, we look for areas where all components are in sync. These are valid trading signals (refer to the usage example below).
□ If all components are not in sync, we should look for at least two of them to be in sync, while one of them must be the Colored Bar.
□ Candle Colors: Looking for longs when the candles are green and looking for shorts when the colors are red
□ Dynamic Support & Resistance Lines: Used for placing entries and stop-loss limits. Using retest of the line for entry and placing the stop-loss beyond it. Or if we're entering based on other components, we can use the line to place the stop-loss beyond it.
□ Candle Dots: Looking to trade in the direction of the color. If the market is bullish, you’ll see the green dots, and if the market is bearish, the dots will color red.
□ Colored Bar: Most important component of this indicator, we favor trading in the direction suggested by this component. Additional confirmation of other components is a bonus. Colors here don't change that often, but once they do - it usually signals a long-term trend shift. Green color suggests a bullish market, trading long. Red color suggests bearish market, trading short.
🔷 COMBINING THE COMPONENTS
Each component of the indicator serves its own purpose and analyzes the market from its own perspective and with its own custom settings and formulas. The calculation of the individual component is done independently from the calculation of the other components. Once all of them align, we can execute trades with an edge as it signals that different aspects of volume and price analysis line up for the trading opportunity.
-Candle Colors performs technical analysis for you by displaying the colors of a favorable market direction based on the market's current technical structure.
- Dynamic Support & Resistance Lines are used for placing your entry/exit limit orders.
-Candle Dots are used to determine the favorable direction of the market based on Daily Volume Dynamics, with custom timeframe settings ranging from a couple of days to a couple of weeks.
-The Colored Bar is used to gauge the overall favorable trading direction based on Daily Volume Dynamics with custom timeframe settings ranging from 3 to 6 weeks.
It's important to combine the components to increase the probability of success - here's how you should look for a trade:
1. Assess the current most favorable market direction by referencing the Colored Bar. Look for longs if it’s green and for shorts if it’s red
2. Look for the Candle Dots to align with the Colored Bar, look for longs if it’s green and for shorts if it’s red
3. Look for the Candle Colors to align with the Colored Bar. Look for longs if it’s green and for shorts if it’s red
4. Place your SL level beyond the currently developing Support/Resistance line to protect your positions and look for exits once the colors change.
A valid example of the trade would be:
- Colored Bar is green, indicating the favorable trading directions is long
- Candle Dots are green, indicating the favorable trading directions is long
- Candle Colors are green, indicating the market structure is favorable to enter your positions
📊 USAGE EXAMPLE
[FXAN] 75 Cygni Algorithm (Day Trading)⚜️ FXAN CYGNI INDICATORS ORIGINALITY
Originality comes from proprietary formula we use to measure the relationship between Volume and Price Volatility in relation to overall current market positioning in developing Volume Profile and multiple custom period Volume Profiles. We combine that with our own approach to measure price velocity in correlation to average daily/weekly/monthly ranges of the given market.
The relationship between current volume and price volatility gives us information about how much the volume that is currently coming into the market affects the price movement (volatility) and which side is more dominant/involved in the market (Buyers/Sellers). We call this the " Volume Impact " factor.
This information is then compared in relation to overall current market positioning in developing Volume Profile and Multiple custom period Volume Profiles. We have created a rating system based on current price positioning in relation to the Volume Profile. Volume profile consists of different volume nodes, high volume nodes where we consider market interest to be high (a lot of transactions - High Volume) and low volume nodes where we consider market interest to be low (not a lot of transactions - Low Volume). We call this the current " Market Interest " factor.
We combine this information with our own approach to measure price velocity in correlation to the higher-timeframe price ranges. Calculation is done by measuring current ranges of market movement in correlation to average daily/weekly/monthly ranges. We call this " Price Velocity " factor.
This approach was applied to develop key components of our Tradingview Indicators, we've simplified some of the calculations and made them easy to use by programming them to display buying/selling volume pressure with colors.
In addition to our own proprietary formulas and criterias to measure volume impact on price, we've also used an array of indicators that measure the percentage change in volume over custom specified periods of time, including custom period ranged Volume Profile, Developing VA, Accumulation/Distribution (A/D Line), Volume Rate of Change (VROC), Volume Price Trend (VPT) - all of them with of course fine-tuned settings to fit the purpose in the overall calculation.
Reasons for multiple indicator use:
Custom period ranged Volume Profiles: To determine current interest of market participants. Used for " Market Interest "
Developing VA: To determine current fair price of the market (value area). Used for " Market Interest ".
Accumulation/Distribution (A/D Line): Helping to gauge the strength of buying and selling pressure. Used for " Volume Impact "
Volume Rate of Change (VROC): To give us information about percentage change in volume. Used for " Volume Impact "
Volume Price Trend (VPT): To help identify potential trends. Used for " Volume Impact ".
Average True Range (ATR): Used for measuring volatility. Used for " Volume Impact " and " Price Velocity" .
Average Daily Range (ADR): Used for measuring average market price movement. Used for " Price Velocity ".
How it all works together:
"Volume Impact" factor tells us the influence of incoming market volume on price movement. This information alongside the overall market positioning information derived from "Market Interest" factor combined with information about speed and direction relative to higher-timeframe price ranges frin "Price Velocity.
This is the basis of our proprietary developed Volume Dynamics analysis approach
"Volume Impact" x "Market Interest" x "Price Velocity"
Combining this factors together gives a good overall understanding of which side is currently more involved in the market to gauge the direction ("Volume Impact"), where the market is currently positioned to gauge the context ("Market Interest") and what the current market's momentum to improve the timing of our trades ("Price Velocity"). This increases our probabilities for successful trades, executed with good timing.
To simplify - our indicators will always analyze the volume behind every price movement and rate those movements based on the relationship between movement distance and volume behind it through an array of criterias and rate them.
Colors displayed by the indicators will be a result of that, suggesting which side of the market (Buyers or sellers) is currently more involved in the market, aiming to increase the probabilities for profitable trades. With the help of our indicators you have deep volume analysis behind price movements done without looking at anything else then indicator components.
🔷 OVERVIEW
Cygni 75 Algorithm is a TradingView indicator crafted to refine your market analysis and assist in identifying potential entry and exit points by analyzing the underlying volume behind market movements. It helps you determine the overall daily context of the market and its conditions/trends by offering a suite of features tailored to provide insights to traders across various market conditions.
🔷 KEY FEATURES
▊ Candle Coloring
▊ Deviation Bands
▊ Momentum Bar | on the bottom of the chart
▊ Area of Interest (AOI) | Yellow rectangle
🔷 HOW DOES IT WORK?
□ Candles will color in reference to the dominance of buyers or sellers based on underlying volume calculated by a proprietary formula. The green color indicates that buyers are in control, and the red color indicates the selling volume is dominating the market. To simplify, green means there's more buying - red means there's more selling.
□ Deviation bands are used to determine potential trade entries and exits, derived by average price weighted by volume.
□ Momentum Bar shows market momentum by analyzing the differences between multiple moving averages. Green is bullish; red is bearish. The colors will lighten up when momentum is strong, and once the market slows down, they will get darker.
□ Area of Interest (AOI) is used for contextual reference, derived from the previous day's market movements. They remain static throughout the current day.
🔷 HOW TO USE IT?
□ In general, we look for areas where all components are in sync. This are valid trading signals (refer to the usage example below).
□ Candle Colors: Looking for longs when the candles are green, and looking for shorts when the colors are red
□ Deviation Bands: Once we enter the trade, we can place the SL and TP levels at the closest bands.
□ Momentum Bar: Helps with the timing of the entry, looking to enter on light Green/Red colors. Longs when green and shorts when red.
□ Area Of Interest: Generally, we're expecting rotational conditions inside the area and breakouts above/below once the market price gets outside of it. Longs above the area and shorts below the area for breakouts.
🔷 COMBINING THE COMPONENTS
Each component of the indicator serves it's own purpose and analyzes the market from it's own perspective and with its own custom settings and formulas (one looks at trading direction from the perspective of the overall trend and the other looks at price volatility to measure momentum - different perspectives). The calculation of the individual component is done independently from other components. Once all of them align we're able to execute trades with edge as it signals that different aspects of volume and price analysis line up for the trading opportinity.
- Candle Colors are used for determining trading direction
- Deviation bands are used for determining TP/SL levels
- Momentum bar is used to for better timing of your entries/exits.
- AOI is used to help you determine potential market conditions
It's important to combine the components to increase the probability of success - here's how you should look for a trade:
1. Determine the direction you want to trade in with the help of Candle Colors
2. Assess the current market price in reference to AOI - look for longs if the price is above the AOI, shorts if the price is below AOI, and rotations if it's inside the AOI.
3. Wait for the right momentum to develop to improve the timing of the entry by using Momentum Bar.
4. Place TP/SL levels with the help of Deviation bands based on your risk appetite.
A valid example of the trade would be:
- Green Candle Colors (indicating longs)
- Market price is currently above the AOI or breaking the edge of AOI in the upside movement (indicating longs)
- Momentum Bar is Green (indicating long momentum)
- Placing SL to the closest Deviation Band below the price and TP to the closest Deviation Band above the price.
📊 USAGE EXAMPLES
[FXAN] 71 Cygni Algorithm (Scalping)⚜️ FXAN CYGNI INDICATORS ORIGINALITY
Originality comes from proprietary formula we use to measure the relationship between Volume and Price Volatility in relation to overall current market positioning in developing Volume Profile and multiple custom period Volume Profiles. We combine that with our own approach to measure price velocity in correlation to average daily/weekly/monthly ranges of the given market.
The relationship between current volume and price volatility gives us information about how much the volume that is currently coming into the market affects the price movement (volatility) and which side is more dominant/involved in the market (Buyers/Sellers). We call this the "Volume Impact" factor.
This information is then compared in relation to the overall current market positioning in developing Volume Profile and Multiple custom period Volume Profiles. We have created a rating system based on current price positioning in relation to the Volume Profile. Volume profile consists of different volume nodes, high volume nodes where we consider market interest to be high (a lot of transactions - High Volume) and low volume nodes where we consider market interest to be low (not a lot of transactions - Low Volume). We call this the current "Market Interest" factor.
We combine this information with our own approach to measure price velocity in correlation to the higher-timeframe price ranges. Calculation is done by measuring current ranges of market movement in correlation to average daily/weekly/monthly ranges. We call this "Price Velocity" factor.
This approach was applied to develop key components of our Tradingview Indicators, we've simplified some of the calculations and made them easy to use by programming them to display buying/selling volume pressure with colors.
In addition to our own proprietary formulas and criterias to measure volume impact on price, we've also used an array of indicators that measure the percentage change in volume over custom specified periods of time, including custom period ranged Volume Profile, Developing VA, Accumulation/Distribution (A/D Line), Volume Rate of Change (VROC), Volume Price Trend (VPT) - all of them with of course fine-tuned settings to fit the purpose in the overall calculation.
Reasons for multiple indicator use:
Custom period ranged Volume Profiles: To determine current interest of market participants. Used for "Market Interest"
Developing VA: To determine current fair price of the market (value area). Used for "Market Interest".
Accumulation/Distribution (A/D Line): Helping to gauge the strength of buying and selling pressure. Used for "Volume Impact"
Volume Rate of Change (VROC): To give us information about percentage change in volume. Used for "Volume Impact"
Volume Price Trend (VPT): To help identify potential trends. Used for "Volume Impact".
Average True Range (ATR): Used for measuring volatility. Used for "Volume Impact" and "Price Velocity".
Average Daily Range (ADR): Used for measuring average market price movement. Used for "Price Velocity".
How it all works together:
"Volume Impact" factor tells us the influence of incoming market volume on price movement. This information alongside the overall market positioning information derived from "Market Interest" factor combined with information about speed and direction relative to higher-timeframe price ranges frin "Price Velocity.
This is the basis of our proprietary developed Volume Dynamics analysis approach
"Volume Impact" x "Market Interest" x "Price Velocity"
Combining this factors together gives a good overall understanding of which side is currently more involved in the market to gauge the direction ("Volume Impact"), where the market is currently positioned to gauge the context ("Market Interest") and what the current market's momentum to improve the timing of our trades ("Price Velocity"). This increases our probabilities for successful trades, executed with good timing.
To simplify - our indicators will always analyze the volume behind every price movement and rate those movements based on the relationship between movement distance and volume behind it through an array of criterias and rate them.
Colors displayed by the indicators will be a result of that, suggesting which side of the market (Buyers or sellers) is currently more involved in the market, aiming to increase the probabilities for profitable trades. With the help of our indicators you have deep volume analysis behind price movements done without looking at anything else then indicator components.
🔷 OVERVIEW
Cygni 71 Algorithm is a TradingView indicator designed for short-term trading (scalping) and enhancing the precision of your entries/exits based on a higher timeframe market context. It analyzes the underlying volume behind market movements and colors the candles with the help of the Heiken-Ashi methodology to provide a clearer perspective on the market's potential direction and intentions.
🔷 KEY FEATURES
▊ Candle Coloring
▊ Upper Colored Bar
▊ Lower Colored Bar
🔷 HOW DOES IT WORK?
□ Candles will color in reference to the Heiken ashi "average bar" methodology, which uses a modified formula based on two-period averages. This way, you can observe the normal candlesticks with less noise as colors will suggest the most likely direction where the market might be heading.
□ Upper Colored Bar analyzes daily volume dynamics in the market's price action by referencing the daily average price weighted by volume. If the market is bullish, you’ll see the green bars, and if the market is bearish, the bars will color red.
□ Lower Colored Bar analyzes volume dynamics and the market's price action every few second and minute intervals by referencing average price weighted by volume. This makes it much more sensitive than the Upper Colored Bar. If the market is bullish, you’ll see the green bars, and if the market is bearish, the bars will color red.
🔷 HOW TO USE IT?
□ In general, we look for areas where all components are in sync. These are valid trading signals (refer to the usage example below).
□ If all components are not in sync, we should look for at least two of them to be in sync while one of them must be Upper Colored Bar.
□ Candle Colors: Looking for longs when the candles are green and looking for shorts when the colors are red
□ Upper Colored Bar: The most important component of this indicator is that we favor trading in the direction suggested by this component. Additional confirmation of other components is a bonus. The green color suggests a bullish market, trading long. Red color suggests bearish market, trading short.
□ Lower Colored Bar: This should not be used on its own but always combined with at least one of the other components due to its sensitivity. Colors are indicating longs when green and shorts when red.
🔷 COMBINING THE COMPONENTS
Each component of the indicator serves it's own purpose and analyzes the market from it's own perspective and with its own custom settings and formulas. The calculation of the individual component is done independently from other components. Once all of them align, we're able to execute trades with an edge as it signals that different aspects of volume and price analysis line up for the trading opportunity.
- Candle Colors are used for improving the timing of your entries/exits based on market structure
- Upper Colored Bar is used for determining the favorable direction of the market based on Daily Volume Dynamics.
- Lower Colored Bar used for determining the favorable direction of the market based on Second/Minute/3-minute Volume Dynamics.
It's important to combine the components to increase the probability of success - here's how you should look for a trade:
1. Assess the current most favorable market direction by referencing the Upper Colored bar, look for longs if it’s green and for shorts if it’s red
2. Look for the Candle Colors to align with the Upper Colored bar, look for longs if it’s green and for shorts if it’s red
3. Look for short-time frame volume dynamics to align with your entries, by referencing the Lower Colored Bar - look for longs if it’s green and for shorts if it’s red.
A valid example of the trade would be:
- Upper Colored Bar is green, indicating the favorable trading directions is long
- Lower Colored Bar is green, indicating the favorable trading directions is long
- Candle Colors are green, indicating the market structure is favorable to enter your positions
📊 USAGE EXAMPLE
Oster's Fair Index (OFI)Note : Excitingly, this indicator is optimized to work exclusively with weekly candles (1W) ! Because fundamental analyses, with their longer-term outlook, thrive on the broader perspective provided by weekly data.
Overview:
Oster's Fair Index (OFI) stands out as a sophisticated indicator to offer traders a comprehensive assessment of a stock's fundamental valuation. Unlike many conventional indicators that focus solely on technical analysis, OFI places a strong emphasis on fundamental metrics, providing traders with a deeper understanding of a stock's intrinsic worth. It applies Oster's method (explained below) to determine the fundamental fair price of a stock.
Innovative Approach to Fundamental Analysis:
OFI employs a unique approach to fundamental analysis, integrating multiple key metrics including Yield , P/S (Price-to-Sales) ratio , P/E (Price-to-Earnings) ratio , Debt/Asset ratio , and P/FCF (Price-to-Free-Cash-Flow) ratio . These metrics collectively offer a holistic view of a company's financial health, allowing traders to gauge its potential for growth and profitability. Notably, the fundamental metrics included in OFI are regarded as the most crucial indicators for fundamental stock evaluation according to Oster's method. Dividend yield and P/S ratio are prioritized as the most significant, followed by the P/E ratio, with supplementary consideration given to the debt-to-asset ratio and price-to-free cash flow ratio. This weighting reflects their importance in determining a stock's fair value according to the methodology, which is integrated into OFI's calculation process.
Customizable Parameters for Tailored Analysis:
One of OFI's standout features is its flexibility, allowing users to customize the fundamental parameters based on their specific investment strategy or preferences. Traders can selectively include or exclude metrics , adjust weighting factors , and set alarm thresholds to align with their unique trading objectives. This customization empowers traders to tailor OFI according to their individual preferences and market perspectives. Although a default value has been set for the weighting of the parameters, traders still have the option to customize it based on their own trading strategy and preference, ensuring that OFI remains adaptable to diverse trading styles and objectives.
Sophisticated Calculation Methodology:
Behind the scenes, OFI employs a sophisticated calculation methodology to derive its insights. It retrieves fundamental data for the selected stock, such as total revenue, earnings per share, debt-to-asset ratio, free cash flow per share, and dividend yield. However, these metrics are not viewed in isolation; rather, they are considered in relation to historical trends . For instance, while a low debt-to-asset ratio may indicate fundamental strength for a company, it must be interpreted in the context of its historical performance. If the debt-to-asset ratio has historically been consistently lower, it may suggest weaker performance despite the seemingly favorable current ratio. Furthermore, OFI goes beyond mere fundamental metrics by incorporating the stock price itself into its analysis . A low debt-to-asset ratio becomes even more attractive for the company if the stock price is also historically low, indicating undervaluation. OFI takes all these aspects into account, providing traders with a comprehensive and nuanced evaluation of a stock's fundamental attractiveness, considering all these aspects in relation to each of the fundamental metrics mentioned above.
Normalized Fairness Differentials for Standardized Comparison:
OFI employs a method where the aforementioned fundamental metrics interact as described earlier. These metrics are combined into a fundamental, normalized value using weighting factors. This value is then normalized by the moving price range of the last 12 months. The result provides insights not only into when the stock price was undervalued, overvalued, or fair, but also enables traders to estimate potential price movements based on the fundamental health of the company. Additionally, a dashed fair price line simply represents the sum of the current stock price and the OFI value. This line illustrates the fair price level of the stock derived from the methodology.
Interpretation:
A negative OFI indicates that the stock may be undervalued based on fundamental metrics. Conversely, a positive OFI suggests that the stock may be overvalued according to fundamental analysis. A zero OFI implies that the stock is trading at a fair price relative to its fundamentals, indicating a balanced valuation scenario. The values of OFI are not arbitrary; they represent the degree of overvaluation or undervaluation in the currency set in the chart settings. This means traders can discern, for example, how many USD the stock is undervalued or overvalued by . Additionally, a dashed fair price line simply represents the sum of the current stock price and the OFI value, illustrating the fair price levels of the stock derived from the methodology.
Dynamic Color Coding for Visual Clarity:
To enhance usability, OFI features dynamic color coding that visually highlights the fair price differentials. Green signifies potential undervaluation , red indicates potential overvaluation , and neutral colors represent fair valuation . This intuitive visual feedback enables traders to quickly identify opportunities and risks.
Alerts:
OFI generates alerts based on these interpretations to assist traders in making informed decisions. An Undervalued Signal (BUY) is triggered when the OFI is below zero and meets the buy threshold criteria. This indicates that the stock is fundamentally undervalued, prompting a BUY alert. Conversely, an Overvalued Signal (SELL) is generated when the OFI surpasses zero and meets the sell threshold criteria. This signals that the stock is fundamentally overvalued, prompting a SELL alert. When OFI hovers around zero, suggesting that the stock is trading at a fair price, a Fair Price Reached (FAIR) alert is generated. This encourages traders to consider profit-taking strategies given the balanced valuation.
Justification of Originality and Value:
In a landscape saturated with technical indicators, OFI distinguishes itself by offering traders a refreshingly simple yet powerful approach to fundamental analysis. While traditional methods often involve laborious scrutiny of financial metrics or even poring over entire company balance sheets, OFI streamlines this process, providing traders with a swift overview of a stock's fundamental health. Its strength lies in seamlessly integrating fundamental analysis with stock price movements, offering insights into how price correlates with fundamental metrics.
One could say we marry the simplicity of technical analysis with the depth of fundamental analysis. This unique combination empowers traders to make informed decisions with ease, leveraging the best of both worlds to navigate the markets effectively.
Conclusion:
In conclusion, Oster's Fair Index (OFI) represents a pioneering advancement in the realm of fundamental analysis, offering both sophisticated calculation methodologies and intuitive, user-friendly features. By marrying these elements with customizable parameters and intuitive visuals, OFI equips traders with a powerful tool for evaluating the fundamental valuation of stocks. Whether you're a seasoned investor or a novice trader, OFI offers invaluable insights that can inform and enrich your trading journey.
EMA20 in MTFThe "EMA20 in MTF" indicator on TradingView is a versatile tool designed to display the 20-period Exponential Moving Average (EMA) as a horizontal line across various time frames. This indicator provides traders with a comprehensive view of the EMA's behavior by plotting it on multiple time frames (MTF), including Quarterly, Monthly, Weekly, Daily, and 125 Minutes.
By incorporating EMA data from different time frames, traders can gain insights into both short-term and long-term trends. The Quarterly and Monthly time frames offer a broader perspective on market movements, while the Weekly and Daily time frames provide intermediate-term trends. The inclusion of the 125 Minutes time frame further enhances precision, catering to intraday trading strategies.
Overall, the "EMA20 in MTF" indicator serves as a valuable tool for traders seeking to analyze EMA dynamics across various time frames, aiding in trend identification and decision-making processes.
LevelUp^ Earnings Line - Quarterly EPSThe LevelUp Earnings Line plots quarterly earning per share (EPS) data providing a visual representation of the earnings trend over time.
Earnings are a foundational concept that can have a significant impact on a stock's longer term performance. With the option to view earnings as a plot versus a table of statistics, you can quickly identify earnings acceleration or deceleration. A steep line upwards from one earnings release to another, or a series of progressively higher EPS values, indicates a strong earnings trajectory. The more pronounced the acceleration, the more likely the company is to outperform the market.
At each quarterly earnings release you can view the details for Reported (non-GAAP), Diluted and Basic EPS by hovering over the plotted symbols on the earnings line.
This indicator uses TradingView's financial functions to request the following EPS data:
▪ Reported (non-GAAP) : this is one of the most popular ways to view earnings information. With non-GAAP, companies often exclude nonrecurring charges such as acquisitions and restructuring costs as these items are often not indicative of a companies overall performance.
▪ Basic : net income minus preferred dividends divided by the average number of common shares outstanding.
▪ Diluted : net income minus preferred dividends divided by the average number of common shares outstanding & convertible preferred shares such as convertible debt, equity options and warrants.
Although the quarterly earnings data is the same across all timeframes, viewing the longer term trend versus the shorter term trend is relevant based on the objectives of the investor. For example, the earnings growth on a monthly chart provides the big picture view, which may span years. This can be helpful for investors interested in more of a buy and hold approach.
The earnings trend on weekly and daily charts has fewer data points simply based on the shorter timeframe. This information is helpful for investors who are more focused on trades that may be weeks or months in length. The momentum and direction of the current earnings trend is of great importance for those looking to ride the current trend.
Summary:
Historical models have shown the best-performing companies have consistent earnings growth. Whether you are looking short or long term, understanding the earnings trend is a key factor in determining the potential price direction.
Key Features:
▪ Choose the EPS to plot: Reported (non-GAAP), Basic or Diluted.
▪ View stats for all EPS types.
▪ Plot on daily, weekly and monthly timeframes.
Move Earnings Line To Main Chart
▪ Click on the indicator name on left side of the chart.
▪ Select the "..." option.
▪ Use the "Move-to" option to change the location of the earnings line.
▪ To hide the EPS scale on the left, select the "..." option.
▪ In "Pin to scale" select the "No scale (fullscreen)" option.
The LevelUp Earnings Line is included the LevelUp Tools suite of TradingView indicators for trend followers.
Previous Key Levels [UAlgo]🔶Description:
"Previous Key Levels " serves as an indicator to identify and visualize previous key levels in the price action of financial instruments. These key levels include previous highs, lows, equilibrium points, and open prices across different timeframes such as daily, weekly, and monthly.
🔶Key Features:
Users have the flexibility to customize the visibility of these levels based on their preferences, including options to show only the last key levels or display all previous levels. The indicator also offers visual customization features allowing users to adjust colors for various elements such as highs, lows, equilibrium, and open prices.
Customizable Timeframes: Users can select their preferred timeframe (e.g., daily, weekly, monthly) to analyze previous key levels.
Flexible Visibility Options: Users can choose to display only the last key levels or show all previous levels based on their trading strategies.
Visual Customization: The indicator provides customizable color options for visual elements such as highs, lows, equilibrium, and open prices, allowing users to tailor the display to their preferences.
Disclaimer:
Not Financial Advice: This script is provided for educational purposes only and should not be considered financial advice. Traders should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions based on this script.
Risk of Loss: Trading in financial markets involves risk of loss, and past performance is not indicative of future results. Users of this script should be aware of the risks involved in trading and should only trade with capital they can afford to lose.
No Guarantees: There is no guarantee of success or profitability when using this script. Market conditions can change rapidly, and trading results may vary.
Use at Own Risk: The author of this script (UAlgo) does not assume any responsibility for losses incurred as a result of using this script. Traders use this script at their own risk and discretion.
[TA] Breaker BlocksDescription:
The Breaker Blocks Finder is a sophisticated tool designed for traders who seek to identify key market structures algorithmically. This indicator meticulously scans for both bullish and bearish breaker blocks, visually delineating them on the chart for easy identification.
Exploring ICT Breaker Blocks: Enhancing Your Trading with Precision
Understanding ICT Breaker Blocks: ICT Breaker Blocks are a nuanced trading concept that leverages market liquidity and manipulation to identify potential breakout points. This strategy is particularly effective in pinpointing moments where the market is poised for a significant directional move.
Mechanics of ICT Breaker Blocks: The essence of this strategy lies in detecting manipulation phases where liquidity is being accumulated, typically around critical market highs or lows. This setup leads to a Stop Hunt, a tactical move to trigger stop orders and fuel a breakout in the opposite direction.
Detailed Breakdown of Breaker Block Types:
Bullish Breaker Blocks:
• Bullish Order Block: The precursor to a bullish breakout, setting the stage for a potential upward move.
• Bullish Breaker Candle: An upward-closing candle that forms just before breaking past an old low, signaling a bullish reversal.
• Confirmation: Achieved when the price dips below the prior low and subsequently rises above the high of the swing, solidifying the bullish breakout.
• Identification: Look for a failed bearish order block, indicated by an initial drop in prices that ultimately reverses, hinting at a bullish shift.
• Key Elements: Monitor the pattern of lows and highs (low, high, lower low, higher high), which suggests an emerging bullish trend.
Bearish Breaker Blocks:
• Bearish Breaker Candle: A downward-closing candle that appears right before an old high is surpassed, indicating a bearish reversal.
• Confirmation: Occurs when prices climb above the previous high and then descend below the swing's low, confirming the bearish move.
• Identification: Initiate by identifying a failed bullish order block, where initial upward price momentum falters and reverses, signaling bearish potential.
• Key Elements: Focus on the sequence of highs and lows (high, low, higher high, lower low), which may denote a looming bearish trend.
Spotting High Probability Breaker Blocks: To enhance the reliability of breaker block identification, incorporate patterns that exhibit a Fair Value Gap (FVG), which typically indicates a stronger likelihood of a successful breakout.
Leveraging ICT Breaker Blocks in Trading: Our Inner Circle Trading mentorship delves into these concepts and more, providing you with comprehensive education and weekly market insights.
By mastering ICT Breaker Blocks, you're equipped with a powerful tool to navigate the intricacies of the market, making informed and strategic trading decisions.
This channel provides you with comprehensive education and weekly market insights. If you enjoyed this thread, like, share, and follow. Join us for an in-depth exploration of advanced trading strategies, and elevate your trading proficiency.
Still confused about Breaker Blocks?
Follow these steps for Bullish Breaker Blocks and reverse them for Bearish Breaker Blocks.
Think:
Bullish BB = Low, High, Lower Low, then Higher High
Bearish BB = High, Low, Higher High, then Lower Low
While this tool is a powerful addition to your trading strategy, it's important to note that it is not an autotrader. Traders should use this indicator as part of a comprehensive trading plan, considering other market factors and personal risk tolerance.
Risk Disclaimer:
Trading financial markets involves significant risk and can result in the loss of your invested capital. You should not invest more than you can afford to lose and should ensure that you fully understand the risks involved. Before trading, please take into consideration your level of experience, investment objectives, and seek independent financial advice if necessary. This indicator is provided as-is without any guarantees or warranty. Use of this indicator is at your own risk, and the creator is not responsible for any financial losses or damages.
Multi VWAP from Gaps [MW]Multi VWAP from Gaps
Introduction
The Multi VWAP from Gaps tool extends the concept of using the Anchored Volume Weighted Average Price, popularized by its founder, Brian Shannon, founder of AlphaTrends. It creates automatic AVWAPS for anchor points originating at the biggest gaps of the week, month, quarter and year. Currently, most standard VWAP tools allow users to place custom anchored VWAPs, but the routine of doing this for every equity being watched can become cumbersome. This tool makes that process multi-times easier. Considering that large gaps can represent a shift in market structure, this tool provides unique and immediate insight into how past daily price gaps can and have affected price action.
Settings
LABEL SETTINGS
Show Biggest Gap of Week | Month | Quarter : Toggle labels that identify the location of the biggest gaps for the selected time period.
Show Big Labels : Toggle labels from showing the date and gap size to just showing a single letter (W/M/Q/Y) designating the time period that the gap is from.
Hide All Labels : Turn labels off and on.
MAX VWAP LINES
Max Weekly | Monthly | Quarterly | Yearly Lines : How many VWAP lines, starting from today, should be shown for the specified time period. Max: 5
SHOW VWAP LINES
Show Weekly | Monthly | Quarterly | Yearly Lines : This feature allows you to remove lines for the specified time period.
Calculations
This indicator does not provide buy or sell signals. It is simply the VWAP calculated starting from an “anchor point”, or start time. It is calculated by the summation of Price x Volume / Volume for the period starting at the anchor point.
How to Interpret
According to Brian Shannon, VWAP is an objective measure of what the average trader has paid for a particular equity over a given period, and is the value that large institutional investors frequently use as a trade signal. Therefore, by definition, when the price is above an AVWAP, buyers are in control for that period of time. Likewise, if the price is below the AVWAP, sellers are in control for that period of time.
VWAPs that coincide with important events, such as FOMC meetings, CPI reports, earnings reports, have added significance. In many cases, these events can cause gaps to happen in day-to-day price movement, and can affect market structure going forward.
Practically speaking, price action can tend to change direction when a significant VWAP is hit, voiding buy and sell signals. Like moving averages, this indicator can show, in real-time, how a buy or sell signal should be interpreted. A significant AVWAP line is a point of interest, and can serve as strong support or resistance, because large institutions may be using those values for entries or exits. For a great analysis of how to use AVWAP, visit the AlphaTrends channel on Youtube here or you can buy Brian Shannon’s “Anchored VWAP” book on Amazon.
Other Usage Notes and Limitations
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
Additionally, in order to build the VWAP calculations, past data is needed that may not be available on shorter timeframes. The workaround is that for some longer-term VWAP lines on shorter timeframes, you may see less than the total of lines that you selected in settings. This is particularly the case with quarterly VWAP lines on the 5 minute timeframe for some equities.
Acknowledgements
This script uses the MarketHolidays library by @Protervus. Also, for debugging, the JavaScript-style Debug Console by @algotraderdev was invaluable. Special thanks to @antsmuzic for helping review and debug the script. And, of course, without Brian Shannon's books, videos, and interviews, this indicator would would not have happened.
MarketWebsWhat are the MarketWebs?
A technical system based on Auction Market Theory and Market Profiles using Volume, Time, and Price to determine a Technical Roadmap outlining significant support & resistance across Equities, Futures, Cryptos and Forex.
Volume at price (Market Profile) is a powerful way to look at the market. By comparing current price action to the action occurring during previous periods, we can more clearly see the strength or weakness in the current market. Marking and tracking previous periods also allow the trader to identify price levels the market “remembers”.
Uniquely, this script automatically identifies and labels:
Virgin Points of Control (VPOCs) derived from price action leaving behind overhead supply (or underneath demand). VPOCs help determine pivot / stabilization points and often act as magnets when the market is trending.
Price breakouts across multiple time frames based on Auction Market Theory.
Bullish or bearish 80% rules as price enters value. This rule is triggered when: the Value Area has not been fully explored, price has been trading outside of value, and price breaks into value.
Venom Lines which are pivot lines of support and resistance derived from the period’s value area.
When high volatility is expected after a price auction period of significantly suppressed volatility.
What do they show?
1) Value Areas
The MarketWebs calculate precise Value Areas based on the market profile built from the amount of volume traded and time spent at all price levels across a period and then shift them forward for reference in the next period. As a technique developed in the 1980’s OEX trading pit using the previous day’s price action for reference today, this script extrapolates that concept into daily, weekly, monthly, and yearly value areas to compare the current price action to.
This script automatically draws the value areas across multiple time frames, calculating the value areas for the applicable periods: Daily, Weekly, Monthly, and Yearly.
For instance, the Monthly Value Area is based on the previous trading month. When the market is “below value” the trend is weak and price is in an auction market looking to establish a new “value”. The same is true above value, the market is strong. Inside of value however, the market is ranging instead of trending.
By applying multiple copies of the script to the chart, it is possible to show multiple time frame value areas on the same chart.
2) VPOCs
Within every value area there is a price level at which the most activity occurred. This is called the “Point of Control” (POC). It is our belief that the POC inside of the value area doesn’t hold much significance for trading; however – when the market has moved into a new value area period, and the previous POC has been left “un-tested” it becomes a “Virgin Point of Control” (VPOC).
VPOCs are extremely significant levels to the market. As price moves away from them over time the market has a memory for these levels that it will not forget. When the market finally starts to trend towards a VPOC (for example, price is above value for the period, and there is a VPOC above) the level will act as a magnet, pulling the market towards it. More often than not, once the market “tags” this level, it will reverse (note: in strong volume moves or extreme price shocks, it may bust through multiple VPOCs before reversing direction)
3) 80% Rule
Another trading rule from the pit traders, the 80% rule states that if price has been trading outside of the previous value area before that value area has been fully explored, and price then breaks into value, there is an 80% chance that price will continue to the other side of value. This works in both directions, bullish and bearish. This script will highlight when the market has triggered an 80% Rule.
4) Venom Lines
Venom lines are pivot levels of support and resistance based on the calculated value areas. These are reference levels for how extreme the market’s move away from value is in the current period and often mark significant but somewhat weak levels of support and resistance. They are especially useful identifying price targets for stocks making new all time highs.
5) Expected High Volatility
Many traders monitor when price has been consolidating (with low volatility) for an extended period of time. This kind of price action makes abnormally “skinny” Value Areas which indicate that the market is primed for a large move (in any direction) during the following period. This script identifies periods of high volatility expected both in the current period or in the next period as its value area is established.
Setup and Preferences:
Be sure to have your TradingView charts set to “Scale price chart only,” otherwise the chart will try to fit all of the VPOCs and Venoms in your field of view when only the closest levels to current price action are really important.
* Be sure to read through any release notes as they may contain updates to the options depicted.
(CF|360) Caruso Financial DashboardThe Caruso Financial 360 Dashboard (CF|360) revolutionizes your TradingView charts by seamlessly integrating comprehensive Fundamental, Statistical, Technical, Performance, and Event information into an intuitively organized dashboard. This empowers users to make informed investment decisions effortlessly, eliminating the need to switch between pages or applications.
The dashboard is strategically divided into five distinct sections, each color-coded for user-friendly navigation. A quick glance at the dark blue "Fundamentals" table reveals two years of quarterly EPS and Sales data, YoY % change, and Surprise %, complete with report dates. Users can explore eight years of annual data and choose between Non-GAAP EPS, Diluted EPS, and Basic EPS for versatile analysis. Opting for Non-GAAP EPS also unveils next quarter estimates. The Fundamentals section further encompasses P/E and P/S data, alongside TTM dividend and dividend yield information.
In the yellow "Extended Fundamentals" section, users gain insights into Gross, EBITDA, and Net margins for easy profitability comparisons within the same industry group. Return on Equity data and Free Cashflow per share provide perspectives on profitability, efficiency, and financial flexibility.
The light blue "Statistics" section furnishes essential statistical measures for a rapid grasp of a company's trading characteristics. Metrics such as Market Cap, Average Volume per day (Shares and $ value), VWAP, Up/Down volume ratio, ATR%, Alpha, Beta, Shares Outstanding & Float, 52-week High/Low, and % distance from the 52-week high are presented. Additionally, market breadth is depicted through Nasdaq and NYSE 52-week high/low data.
The purple "Technical & Performance" section seamlessly integrates both Technical Analysis data and Performance statistics, enabling users to assess the stock's technical context and performance against the market over different periods. Technical indicators, including three customizable moving average types, RSI, ADX, Bollinger Band, Keltner Band, and daily and weekly closing ranges, are featured.
The grey top "Events" section offers a quick overview of the next earnings release date, countdown, and associated color changes as the date approaches. Company name, sector, and industry details are also presented.
To enhance information visibility, record EPS and Sales data are highlighted, emphasizing new records, along with highlights for new 52-week highs and lows.
The CF|360 offers customization options , including three display styles for Desktops, Desktop Slim, and Mobile devices.
Users can also tailor the lengths of technical indicators to suit their preferences. International market enthusiasts will appreciate that the CF|360 provides financial and market data for various regions, including the US, EU, Canada, and beyond.
88 Metrics Included:
Fundamentals Section (Dark Blue Group)
EPS (Adjusted Non-GAAP, Diluted, Basic)
- Quarterly, YoY % Chg, Surprise, Report Date, Next Quarter Estimate (Adjusted EPS only)
- Annual, YoY % Chg
Sales
- Quarterly, YoY % Chg, Surprise, Report Date, Next Quarter Estimate
- Annual, YoY % Chg
P/E ratio
P/S ratio
Dividend TTM
Dividend TTM Yield
Fundamentals Extended (Yellow Group)
Gross Margin
EBITDA Margin
Net Margin
Return on Equity (ROE)
Free Cashflow per Share (FCFPS)
Debt to Equity (Debt)
Effective Interest Rate (Int Rate)
Statistics (Light Blue Group)
Market Cap
Average Daily Volume (Shares)
Average Daily Volume (Dollar Value)
VWAP (Daily)
Average True Range Percent
Shares Outstanding
Shares in Float
Percentage of Share in Float
52-Week High
52-Week Low
% off of 52-Week High
Up / Down Volume Ratio
Beta
Alpha
Nasdaq Net 52-Week High/Lows
Nasdaq 52-Week Highs
Nasdaq 52-Week Lows
NYSE Net 52-Week High/Lows
NYSE 52-Week Highs
NYSE 52-Week Lows
Technical & Performance (Purple Group)
Moving Average Value (3 different averages)
Distance from Moving Average (3 different averages)
Relative Strength Index (RSI)
Average Directional Index (ADX)
Bollinger Band Value (Upper/Lower)
%b
Keltner Band Value (Upper/Lower)
%k
Percentage Changes Since Today’s Open
Daily Closing Range (DCR)
Weekly Closing Range (WCR)
Current Week % Change
1 Month % Change
3 Month % Change
6 Month % Change
1 Year % Change
3 Year % Change
YTD % Change
S&P 500 YTD % Change
Name, Group, & Events (Grey Section)
Company Name
Sector
Industry
Next Earnings Date
Days Until Next Earnings Date
Event Highlights
Record EPS (Quarterly/Annual)
Record Sales (Quarterly/Annual)
52-Week High
52-Week Low
Layout Types
Desktop
Get the full experience with the Desktop view.
Desktop Slim
Save screen real estate with a slim version of the dashboard.
Mobile
Take the most vital metrics with you on your mobile device. For the best experience, view in landscape mode.
ROCE with 3-Year EMAThis Pine Script indicator, "3-Year EMA of Return on Capital Employed (ROCE)," is designed for investors and traders who incorporate both fundamental and technical analysis in their market approach. ROCE is a crucial metric for evaluating the efficiency and profitability of a company's capital employment. Our script enhances this analysis by overlaying a 3-year Exponential Moving Average (EMA) on the ROCE, allowing users to compare current performance against a longer-term trend.
Key Features:
ROCE Calculation: The script calculates the Return on Capital Employed (ROCE) using EBIT (Earnings Before Interest and Taxes) for the Trailing Twelve Months (TTM) and Capital Employed (Total Assets minus Short Term Debt) for the Fiscal Year (FY). This calculation provides a snapshot of how effectively a company is using its capital to generate profits.
3-Year EMA Overlay: The script features a 3-year EMA of the ROCE, providing a smoothed, long-term trend line. This EMA helps in identifying broader trends in a company's operational efficiency and profitability, making it easier to spot deviations from the historical norm.
Customizable for Different Data Frequencies: Whether your data is quarterly, monthly, or weekly, the script is adaptable. The length of the EMA is adjustable to suit the data frequency, ensuring accurate representation over a 3-year period.
Visualization: The ROCE and its 3-year EMA are plotted with distinct colors for easy comparison and analysis. This visual representation aids in quickly assessing the company's current performance against its historical trend.
Customization: Users can adjust the EMA length to match the frequency of their data (e.g., 12 for quarterly, 36 for monthly, 156 for weekly data).
Usage Tips:
Best used on companies with stable and consistent reporting.
Combine with other fundamental and technical indicators fo
r comprehensive analysis.
Disclaimer: This script is provided for informational and educational purposes only and should not be construed as investment advice.
Anchored Progressive RangeIntroducing a simple script based off of the idea that ranges form from a point of origin that can be measured and produce interesting analysis indicating potential opportunities.
Specifically I use this on daily and weekly anchorage to find mid range retracements once range has developed.
Configure internal multipliers to provide potentially useful measurements between range high and mid point, as well as mid point and range low. By default it's standard .25 based multipliers but one could adjust to fib multipliers such as .615, .65, etc.
Anchored open price is plotted as continuous line as often times reversals will occur and open price will be tested on daily, weekly, monthly timeframes.
Once a bit of range is established and there's a rapid adjustment of range mid up or down, these can signal interesting breakouts. Also areas where the range stays flat due to no new high or low being printed can be indicative of consolidation, etc.
I've tested this with heikin ashi, renko, bars, line and regular candles through various markets such as futures, etfs and stocks and everything appears to anchor correctly, please feedback if experiencing otherwise.
I hope you enjoy this indicator as much as I enjoyed creating it, happy trading!
Dual Weighted RSIDescription:
The Dual Weighted RSI (DWRSI) is a custom technical analysis tool that extends the concept of the traditional Relative Strength Index (RSI) by incorporating two different RSI calculations, each with its own timeframe and weighting factor. This unique approach allows traders to analyze market momentum through a combination of RSIs from different timeframes, providing a more nuanced and customizable view of market conditions.
The DWRSI calculates two separate RSIs based on user-defined timeframes (e.g., daily, weekly) and applies a scale factor to each RSI, ranging from 0 to 1. This scale factor determines the contribution of each RSI to the final combined value: a factor of 1 means the full value of the RSI is used, 0 means none of the value is used, and 0.5 means half of the value is used. The final DWRSI value is the sum of these scaled RSIs, offering a unique perspective on market trends.
How to Use:
Add the Indicator: Search for "Dual Weighted RSI" or "DWRSI" in the TradingView indicators list and add it to your chart.
Set the Parameters:
First RSI Length: Set the period length for the first RSI calculation.
First RSI Timeframe: Choose the timeframe for the first RSI (e.g., "D" for daily).
First RSI Scale Factor: Adjust the scale factor for the first RSI (0 to 1).
Second RSI Length: Set the period length for the second RSI calculation.
Second RSI Timeframe: Choose the timeframe for the second RSI (e.g., "W" for weekly).
Second RSI Scale Factor: Adjust the scale factor for the second RSI (0 to 1).
Interpret the DWRSI:
A rising DWRSI indicates increasing bullish momentum, while a falling DWRSI suggests growing bearish momentum.
Compare the DWRSI with the individual RSI plots to assess the influence of different timeframes.
Trading Signals:
Potential buy signals are indicated when the DWRSI crosses above key levels (e.g., 30 or 50).
Potential sell signals are suggested when the DWRSI crosses below key levels (e.g., 70 or 50).
Use Cases:
DWRSI is ideal for traders who want to combine short-term and long-term momentum analysis.
It suits various trading styles, including swing trading, day trading, and positional trading.
Multi Session Volume Profile LevelsThis script allows a user to plot current and historical volume profile levels (POC, VAH, VAL) of RTH (NY trading hours), ETH (Globex and/or Equities ETH), and Weekly Profiles.
Each profile has multiple settings to tailor how the user desires. The list includes:
Plotting the current volume profile
Plotting historical session/week volume profile levels
Many configuration options for colors, line styles, and labels
One feature not mentioned above is the ability to plot any untested (i.e. naked) level that will disappear once it is traded through. The way this feature works is if a level is traded through during RTH (NY session), the level will stop plotting and/or disappear at the end of that trading session if it is a session VP level (ETH or RTH) or at the end of the trading week for the weekly profile levels.
Limitations
There are some minor limitations due to pine script that need to be mentioned. The volume profile calculations utilize the 1 minute timeframe to allow for more granular plotting of the volume profile. This allows the script to mimic the native volume profile script as closely as possible. The timeframe used for the calculation can be changed to use 1m, 2m, 3m, or 5m. Please be aware that using a higher timeframe allows for more historical levels to be plotted but results less resolution of the volume profile itself.
An attempt was made to get this as close to the native volume profile levels as possible. While most of the time the levels in this script are within a handful of ticks of the native levels, there are situations where they can be far off. Double distribution days are where this script can sometimes deviate significantly from the native volume profile or in instances where there are two high volume nodes that are very similar in volume. Pine script does not provide the same resolution to volume that is used in the native volume profile script which is why the values may be different when comparing them.
Another item that might be encountered is calculation timeouts. Due to the amount of calculations needing to be done to plot these levels you may encounter calculation timeouts when first applying them to the chart and periodically during the use of the indicator. If this is encountered, simply change one of the inputs in the inputs tab to force it to recalculate and it will eventually provide the levels on the chart. I am working on trying to optimize this to reduce these calculation timeouts but this is as good as I could get it for now.
Future updates will include higher timeframe volume profile values but will require a bit more work to get it implemented. As always I am open to suggestions on how to make this script better as it provides a more automated way to utilize these levels than what is currently provided.
Short Interest Tracker [SS]This is a simple indicator that is designed to provide you with a synopsis of short interest on the daily, weekly and monthly timeframes.
How it works:
It pulls FINRA ticker data on short volume for whichever ticker you are on. It works with all tickers provided they are listed on FINRA (which is all tickers).
It will not work with futures, for futures, you would want to use a COT-based indicator, but for indices and equities, this indicator will provide you with the short volume information.
What it shows:
It breaks short volume down into current short volume, the 14-period SMA of short volume over the day, week and month, it also provides you with a short volume to SMA ratio. This is Short Volume divided by the SMA. Anything below 1 is good, it means short interest is low. Anything above 1 is not good, it means that short volume is above the SMA.
It also will show you the weekly, daily and monthly short volume change.
And last but not least, it will tell you whether short interest is falling, rising or steady. How it does this is by tracking whether the SMA is increasing, decreasing or stagnant.
Customization:
You can customize the SMA length and the assessment of whether short volume is increasing or decreasing. The default SMA length is 14 and the default assessment of rising/falling short volume is 4. This means, short volume has to rise or fall over a 4-period timeframe for it to register. So on the week, if it displays short volume increasing, it means that, over the past 4 weeks, the sma has steadily risen. Inverse if it decreases. If you want it to be more sensitive, you can reduce it to 2 or 3. If you want it to be more strict, you can increase it to 5 or 6.
NOTE:
If the volume information for a ticker is not available, it will return a runtime error indicating as such.
And that's the indicator!
I wanted something similar to COT data for equities and indices, so this was my attempt to bridge that gap.
Hope you enjoy and find it useful! Leave your suggestions below.
Take care everyone!
PB wTF50What kind of traders/investors are we?
We are trend followers, always on the lookout for the next big move in the market. Our scripts are meticulously crafted for higher timeframes (daily, weekly, monthly) aiming to capture the large market trends.
What does this script do?
The Pb wTF50 script simplifies the complex world of investing by colour-coding bars to indicate the trend direction. Green bars signify a bullish trend, red indicates a bearish trend, and a combination of both signifies a sideways market. This visual representation ensures investors can quickly gauge the market's direction and act accordingly.
How is the PB wTF50 produced?
The PB wTF50 script employs the simple moving averages (SMAs) as its backbone. Bars positioned above both the SMAs turn green, indicating a bullish trend. Conversely, bars below these SMAs turn red, signalling a bearish trend.
What is the best timeframe to use the script?
The PB wTF50 script is designed for the weekly timeframe. This ensures that traders and investors are aligned with the long-term market trend, filtering out the noise of shorter timeframes.
What makes this script unique?
The challenges of identifying the onset, progression, and culmination of trends are well-known in the investing community. The PbF script addresses these challenges head-on.
The PB wTF50 is not a lagging indicator. It is aligned with price movement, which helps investors and traders focus on what the asset’s price is doing. The asset’s price is the primary indicator of its direction.
Lagging indicators can be used alongside the PB wTF50 to confirm the asset’s direction.
The PBwTF50 continues to remain green during extended periods of bullish pullbacks and red during extended periods of bearish pullbacks. This helps investors and traders hold positions during corrections in the market.
When interacting with OB/OS zones, investors and traders are positioned to align with the trend and ignore short-term fluctuations against the trend.
The PB wTF50 can be used to enter additional positions, also known as compounding, when an asset’s price has pulled back into an OS zone, but the trend filter has remained green in a bull trend/OB zone, but the trend filter has remained red in a bear trend.
In essence, the PB wTF50 script is a trend filter that gives investors and traders the ability to apply discretion with the start and end of long-term trends as they develop.
