Market Structure MTF"Market Structure MTF" is designed to help traders analyze and visualize market structures across up to three different timeframes. It allows users to customize various parameters such as period length, label size, and colors for different elements. The indicator identifies and tracks key market structure components, such as highs and lows, break of structure, and displays this information directly on the chart. It is also useful when studying Algo Trade concepts.
Additionally, it includes a table summarizing trends and providing the efficiency of the latest market data for each timeframe.
Recommended Settings
If you're new to this indicator, it's recommended to start with a single timeframe to become familiar with its functionality.
Once comfortable, you can use the following timeframes:
Base Timeframe : 15 minutes
Secondary Timeframe : 1 hour
Tertiary Timeframe : 4 hours
Another example setup could be:
Base Timeframe : 1 hour
Secondary Timeframe : 4 hours
Tertiary Timeframe : 1 day
Important Notes
Multiples of Base Timeframe : Ensure that the secondary and tertiary timeframes are multiples of the base timeframe. This ensures consistency and accuracy in analysis.
Display Order : It is recommended to display the timeframes in the correct order, with the current timeframe displayed on top of the previous ones.
Customization : You can customize the period length, label size, shapes, and colors to match your preferences.
Market Structure Elements : The indicator tracks key market structure elements such as highs and lows, which are crucial for understanding market trends and potential reversal points.
Trend Summary Table : The included table summarizes trends and provides an overview of the latest market data, helping you make informed trading decisions. The "Efficiency" column shows whether the latest structure is IPA (Inefficient Price Action) or EPA (Efficient Price Action).
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SMC Orderblocks (MTF)The SMC Orderblocks Indicator is designed to detect institutional orderblocks by focusing on price action and pattern detection, with a strong emphasis on identifying liquidity grabs.
This tool helps traders pinpoint areas where significant institutional trades are likely to occur by assuming the presence of orderblocks based on observed market behavior.
Unlike other indicators that may rely heavily on volume, the SMC Orderblocks Indicator offers a fresh approach rooted in a deep study of price action and Smart Money Concepts (SMC).
🔍 Unique Approach
Unlike other orderblock indicators that typically depend on volume to detect orderblocks (a common and valid method), the SMC Orderblocks Indicator explores a new approach. After extensive study and understanding of price action and SMC principles, this indicator focuses on market behavior to assume where institutional orderblocks might be. This approach offers traders a unique perspective and valuable insights, allowing them to view the market through a different lens.
🧠 The Theory Behind It
In trading, liquidity is essential for institutions and large market participants to execute their substantial orders. Orders tend to cluster around predictable levels, such as recent highs or lows, creating pools of liquidity. To secure better entry points for their large trades, institutions and market makers may manipulate prices to sweep these liquidity levels. The SMC Orderblocks Indicator is designed to detect these market manipulations—when price moves to capture liquidity—and uses these events to assume the presence of orderblocks at key levels. By recognizing these manipulations, the indicator provides insights into potential areas of significant institutional activity.
⚙️ How It Works
In order to make it work, there are two big essentail parts for this indicator. The first one is being able to identify liquidity areas. The second one is to detect the liquidity grab pattern.
1. Identifying Liquidity
So, in order to find market manipulations, mainly "liquidity grabs", the first thing we need is to find where the liquidity is.
Here "liquidity", refers to "orders", and only the exchange actually knows at what price orders are placed. The limit orders are visible in the order book and most of the time the exchange let this information be publicly accessed. But not all orders are in the orderbook. The stop-limit orders like stop-loss orders are added in the orderbook only when the market price reaches a certain price (the stop price).
At present, when using a chart script like Pinescript, there is no known way to access this real information.
But fortunately, traders and institutional behavior stay the same. Traders tend to place their orders at predictable levels, like above highs or below lows. They can also be near inducement areas, specifically created by institutions to induce traders to place their orders at certain levels.
So, the job of the indicator is first to find these levels, regardless of the method used. In the previous version of this script, I used pivots to detect highs and lows, but this method was lacking when it came to finding inducement zones or stacks of liquidity.
Instead, the indicator now uses a new method to check whether there is a stack of non-liquidated candles. This method allows the detection of inducement zones with unliquidated candles. When the stack reaches a certain number (by default, three), the liquidity is marked as valid for sweep detection.
Note: When using the indicator, you can enable the display of liquidity (to see mitigated and unmitigated liquidity) and their stack number.
2. Detecting a Liquidity sweep
Once the first and key part is done, we need to detect the market manipulation: the liquidity grabs. Liquidity grab patterns are always the same. In the following example, let's assume the institutions want to fill sell orders in a bearish market. Here are the steps they will likely take:
- 1. The institutionals place their main orders (the orderblock) at a desired price.
- 2. They let the liquidity accumulate next to that desired price. They can even induce traders to place their own orders there. The will serve as liquidity.
- 3. Institutionals will manipulate the market price to move it towards their awaiting orders to fill them. Once that price is reach, and their orders are being filled, the market price will start moving in the opposite direction.
- 4. The grab is confirmed, when the liquidity in that oppsiite direction is grabed, or simply when the bearish market trend resumes by breaking the lows, along with additional confirmations
Sometimes, institutions will have two opposite positions in the same asset—one short and one long. This is called hedging. The goal here is to use the long orders to push the market price towards the main sell orders. Once the sell orders are filled and the market price starts falling, they may try to push it up again to close their long position with minimal loss and finally let the price fall for good.
It is at that moment that it is best to enter the market. This is why, by default, the indicator will display when the price starts moving upward towards the liquidity grab: because it's where the manipulation started and where the price is likely to reach again before resuming the main trend.
Real-Time Visualization:
As soon as an "orderblock" (or market manipulation) is detected, the indicator will display it on the chart in real time.
This immediate visualization helps traders stay ahead and catch the main market move.
💡 Usage Tips
Apply the script to your chart. This is a price-action based script so it will work on most markets. You do not need to edit settings but you can adjust them to match your trading style.
To get the most out of the SMC Orderblocks Indicator, it’s recommended to use it alongside other analysis tools, espacially market structure indicators. You can try the free-to-use SMC Market Structure (MTF) to filter the interesting orderblocks.
Additionnaly, if you search liquidity areas to set as your trade's target, you can enable their display to see mitigated and unmitigated liquidity lines. The display is disabled by default to keep charts clean.
While the indicator helps detect potential institutional orderblocks based on liquidity grabs, combining its insights with your trading knowledge and other tools will enhance decision-making.
⚠️ Disclaimer
While this method provides useful information, the orderblocks can only be assumed based on market behavior. Moreover, given how the indicator works, the accuracy cannot be guaranteed. It's important to combine the indicator's information with your own experience and other confirmation methods.
Orderblocks are also time-sensitive. The fact that an orderblock was detected and displayed on the chart does not guarantee that orders will still be present when the price returns to that level. If too much time has elapsed since the orderblock was created, or if the market structure has changed, it may be wise to disregard it. Always seek additional confirmation before opening a position.
The theory presented here on how institutional orderblocks are made, and how the market may be manipulated to fill orders, is based on my own research, knowledge, and analysis. Since I have never worked within an institution, these are educated assumptions and could be incorrect. Please always do your own research.
🚀 Active Development
The SMC Orderblocks Indicator is continuously evolving, with updates aimed at improving the rules for detecting and confirming orderblocks. Future updates may include new features and bug fixes to enhance performance and adapt to different trading styles.
📬 Note: If you encounter a bug, please contact me directly via private message, as I do not want to pollute the comment section with screenshots.
If you have any questions or suggestions for new features, feel free to reach out. You can also add a comment to boost its visibility.
Additionally, it’s recommended to compare the results of this indicator with others to find what best suits your trading style.
Please note that while this indicator is a paid script, you do not need to pay to test it. Contact me directly on TradingView via private message or through my socials, or leave a comment, and I’ll provide you with a free trial.
Cumulative Volume Delta (MTF)Cumulative Volume Delta (CVD) Indicator
The Cumulative Volume Delta (CVD) indicator is a powerful analytical tool used to understand the behavior and dynamics of market participants through volume analysis. It tracks the net difference between buying and selling pressure, providing insights into market trends and potential reversals. Here's a detailed description of this indicator and its components:
The Cumulative Volume Delta (CVD) indicator calculates the cumulative net difference between buying and selling volume over a specified period. By analyzing this net difference, traders can gain insights into the underlying strength or weakness of a price movement, helping to identify trends, reversals, and potential breakout points.
Key Components:
Bull & Bear Power Calculation:
Bull Power: Represents the strength of buyers in the market. It is calculated based on the relationship between the current and previous price bars. A higher Bull Power indicates stronger buying pressure.
Bear Power: Represents the strength of sellers in the market. It is also calculated based on the relationship between the current and previous price bars. A higher Bear Power indicates stronger selling pressure.
Bull & Bear Volume Calculation:
Bull Volume: The volume attributed to buying pressure. It is calculated by taking the proportion of Bull Power relative to the total of Bull Power and Bear Power, multiplied by the total volume.
Bear Volume: The volume attributed to selling pressure. It is calculated similarly to Bull Volume but using Bear Power.
Delta Calculation:
Delta: The net difference between Bull Volume and Bear Volume for each bar. A positive Delta indicates more buying pressure, while a negative Delta indicates more selling pressure.
Cumulative Volume Delta (CVD):
CVD: The running total of the Delta values over time. It accumulates the net buying and selling pressure to provide a visual representation of the market's cumulative sentiment.
Moving Average of CVD (CVD MA):
CVD MA: A simple moving average of the CVD, used to smooth out fluctuations and help identify the overall trend. It provides a baseline to compare the current CVD value against, highlighting divergences or convergences.
Multi-Timeframe Functionality:
The enhanced version of the CVD indicator includes multi-timeframe (MTF) capabilities, allowing users to select and analyze data from different timeframes. This feature enhances the versatility of the indicator by providing a broader perspective on market dynamics across various time intervals.
Practical Applications:
Trend Identification: By tracking the CVD and its moving average, traders can identify the prevailing trend. An upward-sloping CVD indicates sustained buying pressure, while a downward-sloping CVD indicates sustained selling pressure.
Divergences: Divergences between the CVD and price can signal potential reversals. For example, if the price is making new highs but the CVD is not, it may indicate weakening buying pressure and a potential reversal.
Breakout Confirmation: Significant changes in the CVD can confirm breakouts. A sharp increase in the CVD during a price breakout indicates strong buying support, adding confidence to the breakout.
Support and Resistance Levels: The CVD can help identify significant support and resistance levels based on changes in volume dynamics. For instance, a notable increase in buying volume at a support level can reinforce its strength.
Stoch Double Analysis MTFThis indicator utilizes the Stochastic Oscillator on two different timeframes and generates alerts for potential long and short conditions based on the crossovers of the %K and %D lines of the Stochastic Oscillator. Here's a detailed breakdown of the code:
Inputs
Overbought and Oversold Levels:
ob_stc: Overbought level (default 80).
os_stc: Oversold level (default 20).
Timeframe 1 Configuration:
tf_stoch_1: The first timeframe for analysis.
length: Stochastic length (default 8).
smoothK: Smoothing for %K line (default 5).
smoothD: Smoothing for %D line (default 3).
Timeframe 2 Configuration:
tf_stoch_2: The second timeframe for analysis.
length_another: Stochastic length for the second timeframe (default 12).
smoothK_another: Smoothing for %K line for the second timeframe (default 7).
smoothD_another: Smoothing for %D line for the second timeframe (default 3).
Calculations
Volume Trend Calculation:
For both timeframes, the script calculates the volume trend. It determines up days and down days based on whether the closing price is higher or lower than the opening price and accumulates the volume accordingly.
Cumulative Volume:
Calculates the cumulative volume for up days and down days using the average of the high prices and the respective volumes.
Stochastic Oscillator Calculation:
Computes the %K and %D lines of the Stochastic Oscillator for both timeframes using the given lengths and smoothing factors.
Alerts
The script generates alerts for potential long and short conditions based on the crossovers of the %K and %D lines for both timeframes:
Long Condition: When %K crosses above %D.
Short Condition: When %D crosses above %K.
Plotting
Stochastic Lines:
Plots the %K and %D lines for both timeframes with different colors (orange and blue for the first timeframe, green and red for the second timeframe).
Overbought/Oversold Bands:
Adds horizontal lines at the overbought and oversold levels and a middle band at 50.
Fills the background between the overbought and oversold levels with a semi-transparent color.
Code Structure
Inputs Definition:
Defines all input variables for customization.
Volume Trend and Cumulative Volume Calculation:
Computes volume trends and cumulative volumes for both timeframes.
Stochastic Oscillator Calculation:
Calculates the %K and %D lines using the request.security function to get data from the specified timeframes and apply the smoothing functions.
Alert Conditions:
Checks for crossovers between the %K and %D lines to generate alerts for potential trading signals.
Plotting:
Plots the %K and %D lines for both timeframes and adds visual elements for overbought and oversold levels.
This indicator helps traders analyze market trends using the Stochastic Oscillator on multiple timeframes, providing potential buy and sell signals based on the interaction of the %K and %D lines.
The alerts generated by the "Stoch Double Analysis MTF" indicator can be viewed as part of a broader educational and training path for traders!
SMC Market Structure (MTF)Introducing the Smart Money Concept Market Structure analysis indicator, a sophisticated tool designed to display the true market structure, in multiple timeframes. Inspired by Lewis Kelly's renowned strategy, this indicator offers a unique approach to defining market structure.
It's worth noting that the Smart Money Concept Market Structure analysis indicator employs Lewis Kelly's strategy for swing detection.
However, it differs from other scripts in the market that utilize alternative methods for swing detection.
Some of these alternative methods that are not used by this script (as it doesn't define market structure properly according to Lewis Kelly's rules):
- ignoring previous market swings. New swings are created inside the internal noise, as they don't need a close above or below previous swings.
- considering that a swing detection is a tops/bottoms with pivots (left, right) with HH/LL.
Any existing market structure script using any of the above will lead to a wrong Break of Structure or Change of character detection and may induce traders to wrongly take trades against the true trend (and lose their trades).
This is why none of the listed above is used here, and this distinction also offers traders a diverse range of options to suit their individual trading preferences and styles.
Here's the main principles of how it works that differentiate from other scripts:
- New Swings are detected only if the new candle closes above/below the previous swing.
- A pullback is detected after 3 (by default) candles going in the same direction, against the current trend. The pullback candles do not need to follow each other, but the count is reset when invalidated. The pullback invalidation strategy is not disclosed here.
Also, unlike most indicators out there, the Smart Money Concept Market Structure (MTF) is multi-timeframe, eliminating the need for traders to constantly switch between different timeframes or add additional indicators. This feature enhances efficiency and streamlines the analysis process, allowing traders to focus more on making informed decisions.
It's important to understand that this indicator is fundamentally based on price action and is not specifically designed to detect market manipulations. Therefore, it should be used in conjunction with your own analytical skills and expertise to derive optimal trading strategies.
While still in its development phase, the indicator may receive updates and new features in the future to further enhance its functionality and usability.
Some of these new features may also not be implemented by existing market structure scripts.
If you have any question or need for new features, please feel free to ask them.
Also, it is recommended to compare the results of this indicator and other existing ones to see which is the most suitable to your trading style.
In the meantime, Enjoy !
Breadth - MTF Cumulative New Highs - New LowsBreadth - MTF Cumulative New Highs - New Lows
📈 Plots cumulative 52W New Highs - New Lows with various timeframes/exchanges.
There are already similar scripts available. This just adds more exchanges and timeframe options.
Key Features :
🔄 Repaint Control: Toggle between repainting and non-repainting modes to align with your trading approach.
📊 Adjustable Timeframes: Fine-tune the timeframe multiplier to fit your analytical needs.
📉 MA Integration: Leverage a Moving Average to identify and follow trends.
🔄 Exchange Selection: Choose from a range of markets for targeted analysis.
Trading with Awareness:
This tool is designed to augment your trading strategy by offering additional insights. It's not a crystal ball for market behavior but a lens to view market dynamics more clearly.
Usage:
Primarily intended for educational and informational purposes. Not to be taken as direct investment advice.
dashboard MTF,EMA User Guide: Dashboard MTF EMA
Script Installation:
Copy the script code.
Go to the script window (Pine Editor) on TradingView.
Paste the code into the script window.
Save the script.
Adding the Script to the Chart:
Return to your chart on TradingView.
Look for the script in the list of available scripts.
Add the script to the chart.
Interpreting the Table:
On the right side of the chart, you will see a table labeled "EMA" with arrows.
The rows correspond to different timeframes: 5 minutes (5M), 15 minutes (15M), 1 hour (1H), 4 hours (4H), and 1 day (1D).
Understanding the Arrows:
Each row of the table has two columns: "EMA" and an arrow.
"EMA" indicates the trend of the Exponential Moving Average (EMA) for the specified period.
The arrow indicates the direction of the trend: ▲ for bullish, ▼ for bearish.
Table Colors:
The colors of the table reflect the current trend based on the comparison between fast and slow EMAs.
Blue (▲) indicates a bullish trend.
Red (▼) indicates a bearish trend.
Table Theme:
The table has a dark (Dark) or light (Light) theme according to your preference.
The background, frame, and colors are adjusted based on the selected theme.
Usage:
Use the table as a quick indicator of trends on different timeframes.
The arrows help you quickly identify trends without navigating between different time units.
Designed to simplify analysis and avoid cluttering the chart with multiple indicators.
Linear Regression MTF + Bands
Multiple Time Frames (MTFs): The indicator allows you to view linear regression trends over three different time frames (TF1, TF2, TF3) simultaneously. This means a trader can observe short, medium, and long-term trends on a single chart, which is valuable for understanding overall market direction and making cross-timeframe comparisons.
Linear Regression Bands: For each time frame, the indicator calculates linear regression bands. These bands represent the expected price range based on past prices. The middle line is the linear regression line, and the upper and lower lines are set at a specified deviation from this line. Traders can use these bands to spot potential overbought or oversold conditions, or to anticipate future price movements.
History Bands: Looking at linear regression channels can be deceiving if the user does not understand the calculation. In order to see where the channel was at in history the user can display the history bands to see where price actual was in a non-repainting fashion.
Customization Options: Traders can customize various aspects of the indicator, such as whether to display each time frame, the length of the linear regression (how many past data points it considers), and the deviation for the bands. This flexibility allows traders to adapt the indicator to their specific trading style and the asset they are analyzing.
Alerts: The script includes functionality to set alerts based on the price crossing the upper or lower bands of any time frame. This feature helps traders to be notified of potential trading opportunities or risks without constantly monitoring the chart.
Examples
The 15minute linear regression is overlayed onto a 5 minute chart. We are able to see higher timeframe average and extremes. The average is the middle of the channel and the extremes are the outer edges of the bands. The bands are non-repainting meaning that is the actual value of the channel at that place in time.
Here multiple channels are shown at once. We have a linear regression for the 5, 15, and 60 minute charts. If your strategy uses those timeframes you can see the average and overbought/oversold areas without having to flip through charts.
In this example we show just the history bands. The bands could be thought of as a "don't diddle in the middle" area if your strategy is looking for reversals
You can extend the channel into the future via the various input settings.
Breakout Detector (Previous MTF High Low Levels) [LuxAlgo]The Breakout Detector (Previous MTF High Low Levels) indicator highlights breakouts of previous high/low levels from a higher timeframe.
The indicator is able to: display take-profit/stop-loss levels based on a user selected Win/Loss ratio, detect false breakouts, and display a dashboard with various useful statistics.
Do note that previous high/low levels are subject to backpainting, that is they are drawn retrospectively in their corresponding location. Other elements in the script are not subject to backpainting.
🔶 USAGE
Breakouts occur when the price closes above a previous Higher Timeframe (HTF) High or below a previous HTF Low.
On the advent of a breakout, the closing price acts as an entry level at which a Take Profit (TP) and Stop Loss (SL) are placed. When a TP or SL level is reached, the SL/TP box border is highlighted.
When there is a breakout in the opposite direction of an active breakout, previous breakout levels stop being updated. Not reaching an SL/TP level will result in a partial loss/win,
which will result in the box being highlighted with a dotted border (default). This can also be set as a dashed or solid border.
Detection of False Breakouts (default on) can be helpful to avoid false positives, these can also be indicative of potential trend reversals.
This indicator contains visualization when a new HTF interval begins (thick vertical grey line) and a dashboard for reviewing the breakout results (both defaults enabled; and can be disabled).
As seen in the example above, the active, open breakout is colored green/red.
You can enable the setting ' Cancel TP/SL at the end of HTF ', which will stop updating previous TP/SL levels on the occurrence of a new HTF interval.
🔶 DETAILS
🔹 Principles
Every time a new timeframe period starts, the previous high and low are detected of the higher timeframe. On that bar only there won't be a breakout detection.
A breakout is confirmed when the close price breaks the previous HTF high/low
A breakout in the same direction as the active breakout is ignored.
A breakout in the opposite direction stops previous breakout levels from being updated.
Take Profit/Stop Loss, partially or not, will be highlighted in an easily interpretable manner.
🔹 Set Higher Timeframe
There are 2 options for choosing a higher timeframe:
• Choose a specific higher timeframe (in this example, Weekly higher TF on a 4h chart)
• Choose a multiple of the current timeframe (in this example, 75 minutes TF on a 15 min chart - 15 x 5)
Do mind, that when using this option, non-standard TFs can give less desired timeframe changes.
🔹 Setting Win/Loss Levels
The Stop Loss (SL) / Take Profit (TP) setting has 2 options:
W%:L% : A fixed percentage is chosen, for TP and SL.
W:L : In this case L (Loss-part) is set through Loss Settings , W (Win-part) is calculated by multiplying L , for example W : L = 2 : 1, W will be twice as large as the L .
🔹 Loss Settings
The last drawing at the right is still active (colored green/red)
The Loss part can be:
A multiple of the Average True Range (ATR) of the last 200 bars.
A multiple of the Range Cumulative Mean (RCM).
The Latest Swing (with Length setting)
Range Cumulative Mean is the sum of the Candle Range (high - low) divided by its bar index.
🔹 False Breakouts
A False Breakout is confirmed when the price of the bar immediately after the breakout bar returns above/below the breakout level.
🔹 Dashboard
🔶 ALERTS
This publication provides several alerts
Bullish/Bearish Breakout: A new Breakout.
Bullish/Bearish False Breakout: False Breakout detected, 1 bar after the Breakout.
Bullish/Bearish TP: When the TP/profit level has been reached.
Bullish/Bearish Fail: When the SL/stop-loss level has been reached.
Note that when a new Breakout causes the previous Breakout to stop being updated, only an alert is provided of the new Breakout.
🔶 SETTINGS
🔹 Set Higher Timeframe
Option : HTF/Mult
HTF : When HTF is chosen as Option , set the Higher Timeframe (higher than current TF)
Mult : When Mult is chosen as Option , set the multiple of current TF (for example 3, curr. TF 15min -> 45min)
🔹 Set Win/Loss Level
SL/TP : W:L or W%:L%: Set the Win/Loss Ratio (Take Profit/Stop Loss)
• W : L : Set the Ratio of Win (TP) against Loss (SL) . The L level is set at Loss Settings
• W% : L% : Set a fixed percentage of breakout price as SL/TP
🔹 Loss Settings
When W : L is chosen as SL/TP Option, this sets the Loss part (L)
Base :
• RCM : Range Cumulative Mean
• ATR : Average True Range of last 200 bars
• Last Swing : Last Swing Low when bullish breakout, last Swing High when bearish breakout
Multiple : x times RCM/ATR
Swing Length : Sets the 'left' period ('right' period is always 1)
Colours : colour of TP/SL box and border
Borders : Style border when breakout levels stop being updated, but TP/SL is not reached. (Default dotted dot , other option is dashed dsh or solid sol )
🔹 Extra
Show Timeframe Change : Show a grey vertical line when a new Higher Timeframe interval begins
Detect False Outbreak
Cancel TP/SL at end of HTF
🔹 Show Dashboard
Location: Location of the dashboard (Top Right or Bottom Right/Left)
Size: Text size (Tiny, Small, Normal)
See USAGE/DETAILS for more information
Ceres Trader MTF Triple EMA with SmoothingDescription:
The "Ceres Trader MTF EMA with Smoothing" indicator is a versatile tool designed for traders who rely on Exponential Moving Averages (EMAs) for their technical analysis. This indicator uniquely blends the concept of EMAs with customizable smoothing techniques, enhancing the clarity and interpretability of moving average lines on your charts.
Features:
Triple EMA Visualization: Visualize three distinct EMAs on your chart, each customizable in terms of length, timeframe, and color. This triple-layer approach allows for a comprehensive view of price trends across different time periods.
User-defined EMA Lengths: Set the lengths of all three EMAs according to your trading strategy. The default length is set at 20 bars, but this can be easily adjusted to suit different trading styles and timeframes.
Flexible Timeframes: Each EMA can be plotted based on different timeframes, providing a multi-timeframe analysis within a single chart view.
Smoothing Techniques: Choose from five different smoothing methods (SMA, EMA, SMMA, WMA, VWMA) to refine the EMA lines. This feature reduces market “noise” and helps in identifying the true underlying trends.
Enhanced Smoothing for Longer Timeframes: The indicator applies an advanced double smoothing technique to the EMA of the longest timeframe, offering an even smoother line that is beneficial for long-term trend analysis.
Customizable Aesthetics: Personalize the appearance of each EMA line with a selection of colors, enhancing visual differentiation and readability.
Benefits:
Versatility: Suitable for various trading styles, including swing trading, day trading, and long-term trend following.
Clarity in Trend Analysis: The smoothing techniques help in filtering out market noise, making it easier to identify meaningful trends.
Multi-Timeframe Analysis: The ability to view EMAs from different timeframes simultaneously offers a comprehensive analysis, saving time and enhancing decision-making.
Ideal for: Traders looking for a customizable and insightful way to use EMAs in their market analysis. Whether you are a beginner or an experienced trader, this indicator's flexibility and depth can add significant value to your technical analysis toolkit.
RSI MTF Panel [xdecow]This indicator shows the RSI of up to 10 different timeframes with various customization options:
Panel position
Panel orientation (vertical/horizontal)
Border width and color
Choose up to 10 time frames with RSI length and source
Background and text colors
Thresholds of overbought, oversold, uptrend, downtrend and no-trend zones to change the color of the RSI
Color debug mode
Flux Charts MTF Supply and Demand Zones (Premium)Indicator Overview
The Multi-Timeframe Supply & Demand Zones indicator by Flux Charts displays supply and demand zones on multiple timeframes with two different zone detection methods. These zones are commonly known as areas where there are lots of buyers/sellers present in the market.
Adaptive Detection Method
AMEX:SPY 5m timeframe, October 8 2023
Indicator Settings: (Timeframe: Chart & 15m, Method: Adaptive, Zone Multiplier: 1)
Many times supply and demand scripts try and precisely define conditions that qualify for supply and demand zones. People, however, when locating supply and demand zones manually generally do not take a quantitative approach, rather looking for qualities in price action that have generalized qualities and trends. The adaptive algorithm uniqueness comes from adapting the human approach to work computationally. It generalizes the qualities of supply and demand zones and locates areas in the chart with an acceptable similarity. Specifically, it looks for consolidated areas within the chart that are preceded by a rise or fall in price. The rise or fall length has to be a certain ratio to the consolidation length. If the criteria are met it will draw the zone, if a zone already exists at that price level it will ignore it or merge them if they are different timeframes. This results in a much more consistent ability to identify areas of supply and demand.
Basic Detection Method
The basic detection method looks for areas where price made drastic movements within a small period of time, which could indicate a high level of buyers/sellers at the spot. Thus, these zones are formed and can be used as areas of trading where money is going in/out of the markets.
Multi-Timeframe (MTF) S&D
Flux Charts supply and demand script utilizes MTF. This allows for displaying zones from different timeframes on one chart. Utilizing higher timeframes is a common practice in trading, and it can be easy to forget about key levels & zones on higher timeframes which could cause reversals/bounces.
Here is an example of a 15 minute supply zone formed on the NASDAQ, and with this indicator, you can also see this same 15 minute supply zone while being on a 5 minute candlestick chart, since you have the 15 minute zones enabled in the settings. This indicator offers supply & demand zones on multiple timeframes including the 5 minute, 15 minute, 30 minute, 1 hour, and 4 hour.
Settings
Method:
Choose between the Supply & Demand zones detection (Basic / Adaptive)
Zone Retests:
Choose how retests should be considered. You can choose between a high/low candle wick entering a zone, or a candle closing inside of a zone to be considered a valid retest.
Zone Invalidation:
Choose how zones are invalidated. You can choose between a high/low candle wick exiting a zone, or a candle closing outside of a zone to be considered a zone invalidation.
Zone multiplier:
Adjust zone size (1 is recommended)
Timeframe:
Choose the timeframes you would like Supply & Demand zones to be displayed from.
Zone Appearance:
Adjust the colors of Supply/Demand zones
Enable/Disable the center dashed line in zones
Display Labels:
Choose to toggle on/off retest & break labels
Notifications:
Choose what alerts you would like to receive. You can choose to have new zone formations, zone breaks, and zone retests.
Predictive Volume + MTF [Pro]"Predictive Volume + MTF " is a predictor of near-future volume available on 13 of your favorite time frames. The script calculates the volume's % change (PredVol) between Current Volume vs. Previous Volume by predicting whether PredVol will be higher or lower at the end of the current bar using an "elapsed time" vs "volume so far" concept. This gives the benefit of the most up-to-date information without artificial low/high comparisons when a bar has just formed. For example, it would be common to see -100% in a lot of instances when a new bar is just forming which would be normal because volume at the start of a new candle will generally be lower than where it was when the last bar closed. Where this indicator shines is during this old to new bar formation relative to the volume that's carried over to the new bar. As a result, it will now be common to see PredVol values starting much higher because the calculation is dividing up the bar and analyzing fractions of it instead of the entire bar that would otherwise lead to these incorrect volume % change calculations.
Examples of Predictive Volume % Change:
In addition, this indicator uses many other advanced and robust features:
⚡ Matrices that create the table, allowing you to add and remove rows and columns to customize the table to show only the information that's important to you
⚡ View up to 13 time frames at once - it's generally a good idea to have at least 5 time frames up to get an overall feeling of the direction/sentiment of volume with the 1d being 1 of the 5
⏩ Includes the following popular time frames: 1m, 3m, 5m, 10m, 15m, 30m, 1h, 2h, 4h, 8h, 1d, week, month
⚡ 3 "bias mode" choices that use Relative Volume (RVOL) from calculations between Current, Previous & Average Volume that provide a heat map with varying degrees of color representing buying & selling momentum of your favorite asset. Traders generally have an innate bias when it comes to their trading methodology. The script's
author created separate modes to account for this. One way to utilize the indicator is to use 2 on your chart, 1 Bullish and 1 Bearish, to see if volume sentiment is skewed towards your particular bias
⏩ 🟢 Standard Mode 🔴 - displays green and red to depict volume momentum using same RVOL calculations as Bullish & Bearish modes
⏩ 🐂 Bullish Mode 🐂 - displays 5 colors to represent the levels of intensity of the Buy/Sell/RVOL data (light blue, green, yellow, light orange, dark orange)
⏩ 🐻 Bearish Mode 🐻 - displays 5 colors to represent the levels of intensity of the Buy/Sell/RVOL data (light red to dark red)
Ex. of all 3 bias modes showing very bullish volume sentiment:
Ex. of all 3 bias modes showing very bearish volume sentiment:
⚡ 2 types of alerts: PREDEFINED and CUSTOM
💡 PREDEFINED ALERTS consist of 4 Bullish & Bearish levels with Lvl 1 designed to be less sensitive than Lvl 2 etc
⏩ Configurable for every time frame, "On Close" or "Each Bar". On Close could be a better choice on lower time frames so that you're not getting a bunch of triggers over a short duration & Each Bar could be a better option for higher time frames so that you don't miss a move mid bar for instance
⏩ Creating a PREDEFINED BULLISH/BEARISH ALERT saves a snapshot of the alert's settings. You can then change the settings and create another alert
⏩ For example, you could create one alert for any alert type (bull and/or bear), for every time frame all at once, or you can create multiple & separate alerts, giving each one a unique name with the time frame that it's for: ex. BTC - Bullish Vol Lvl1 (1m) (keep in mind that TV provides you the ticker, time frame & alert
type automatically (the script's author hard-coded the label names within the script and as a result when they do fire you're provided the type of alert, such as "Bearish Vol (Lvl 1). Technically, you don't even need to name the alert again)
In this example, you're provided information on how to create PREDEFINED ALERTS, what conditions cause the alerts to trigger and how they'll look when they do fire
💡 CUSTOM ALERTS consists of 6 metrics giving you the ability to create your own custom compound alerts
⏩ Configurable for every time frame, "On Close" or "Each Bar". On Close could be a better choice on lower time frames so that you're not getting a bunch of triggers over a short duration & Each Bar could be a better option for higher time frames so that you don't miss a move mid bar for instance
⏩ Creating a CUSTOM ALERT works the same way as PREDEFINED ALERTS (see chart below)
⏩ Check your conditions in real-time for accuracy via a debug feature aka "SHOW HELP FOR TIME FRAME"
In this example, you're provided information on how to create CUSTOM ALERTS
⚡ Header function that provides the ticker, time frame and session that you're on (can use in lieu of TV's watermark feature, or use together)
⏩ There's 2 customizable header inputs - you could include your TradingView username in one of them for the times when promoting your charts across your favorite social media sites
⚡ Timer that shows you when a bar will begin/end plus other features that allow you to change the size and positioning of the table within your charts
⚡ An input that allows you to change the "significant figures" for rounding purposes - can be especially useful when volume is low or when you're trading OTC stocks
⚡ 4 volume moving average lengths - Intraday, Daily, Weekly, Monthly - for those times when 1 moving average to cover the entire gamut of just won't suffice
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There's quite a bit more information provided in the attached charts as well as the tooltips within the inputs section of the indicator. Should you have any questions, feedback etc, please do not hesitate to contact the script's author. My hope is that this indicator becomes an invaluable resource to you and you're able to integrate it in to your everyday trading tool bag to make more informed decisions.
SFC MTF CandlesMost technical traders in the foreign exchange market, whether they are novices or seasoned pros, have come across the concept of multiple time frame analysis in their market educations.
Multiple time-frame analysis involves monitoring the same currency pair across different frequencies (or time compressions). While there is no real limit as to how many frequencies can be monitored or which specific ones to choose, there are general guidelines that most practitioners will follow.
Typically, using three different periods gives a broad enough reading on the market, while using fewer than this can result in a considerable loss of data, and using more typically provides redundant analysis.
This indicator helps traders to visualise the last few candles on many time frames.
For manipulation traders I have added the ability to see the current manipulation on different time frames. When such a candle is created, its colour changes to purple.
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
Linear regression attempts to model the relationship between two variables, with a given collection of data values.
Linear regression is a very common and useful technique for following the trend. This technique is applied to candles in order to filter out false movements.
Heikin Ashi and Linear Regression candles are helpful for more conservative traders. If they are not sure about the direction, they can wait for these candles to change colour (direction) as an extra confirmation.
Features:
- Up to 6 time frames
- Up to 4 MTF bars
- Heikin Ashi candles (current time frame) - x4
- Linear Regression candles (current time frame) - x4
Settings
- Time frames on/off
- Selection how many bars to display from each time frame (max 4)
- Adjustment of distance between candles
- Adjusting the position of the candles
- Heikin Ashi candles on/off
- TLinear regression candles on/off
- Linear regression candle length adjustment
How to use the indicator:
Traders can visualise different candles in order to observe the chart better and faster.
All they have to do is activate the group of candles they want and set it up according to their preferences.
Due to the complexity of the code, there is a 1s delay when all features are enabled. To eliminate the lag, deactivate some of the features
It is recommended to have a maximum of 3 time frames activated during the high impact news, as the price changes very quickly.
DSS Bressert Stochastic MTFDouble Smoothed Stochastics – DSS Bressert is an oscillator introduced by William Blau and Walter Bressert shortly after each other in two slightly different versions. The calculation of DSS Bressert values is similar to the stochastic indicator. The difference is the use of double exponential smoothing. The advantages over the classic stochastic oscillators are the fast response to price changes in a still very smooth pattern. In addition, the extreme zones at the other end of the scale are reached quite frequently, even in strong trends, resulting in many trend conforming signals. Double Smoothed Stochastics – DSS The Bressert values are the same as the stochastics – values above 80 indicate an overbought condition of the market, values below 20 indicate an oversold condition of the market.
This is a full implementation of the original Stochastic Calulation with Multi-Time-Frame options. Other available scrips are lagging here and messing MTF up...
This Scrip will plot 2 lines for the double smoothed Stochastic based on the original exponential calculation from Blau/Bressert. Whilst the original stochastic is only simple moving average.
If you are a daytrader or scalper, the script is able to show a slow line and a fast line pair. Preferred Settings are embedded as screenshot.
DojiCandle body size RSI-SMMA filter MTF
DojiCandle body size RSI-SMMA filter MTF
Hi. I was inspired by a public script written by @ahmedirshad419, .
I thank him for his idea and hard work.
His script is the combination of RSI and Engulfing Pattern.
//------------------------------------------------------------
I decided to tweak it a bit with Open IA.
I have changed:
1) candle pattern to DojiCandle Pattern;
2) I added the ability for the user to change the size of the candlestick body;
3) Added SMMA 200;
4) Changed the colour of SMMA 200 depending on price direction;
5) Added a change in the colour of candlesticks, depending on the colour of the SMMA 200;
6) Added buy and sell signals with indicator name, ticker and close price;
7) Added ability to use indicator on multi time frame.
How it works
1. when RSI > 70 > SMMA 200 and form the bullish DojiCandle Pattern. It gives sell signal
2. when RSI < 30 < SMMA 200 and form the bearish DojiCandle Pattern. It gives buy signal
settings:
basic setting for RSI, SMMA 200 has been enabled in the script to set the levels accordingly to your trades
Enjoy
FSS Indicator MTF Screener 2.0 -- by @FlokicryptoFSS Indicator MTF Screener is built so that the user can scan the target coin quickly to see on which timeframes FSS Buy or Sell signals have shown up in the last closed candle on a range of timeframes. This saves both the time and effort of having to browse through multiple timeframes. By using this script the user will be able to quickly screen through a list of coins and read what the FSS indicator is telling, without touching the timeframe. Its uniqueness and originality is tightly related to its tandem work with the FSS Indicator (You can find the description of this indicator below).
The screener is true Multi Time Frame, in that the information is fetched via security requests on other timeframes, and not calculated within the script. This script only makes use of the last close candle, but later versions could include the current candle.
Above you can see a Sell signal on FTMUSDT on the 12H Timeframe on the chart and its corresponding signal on the Screener just under the chart.
Below is another example of the S&P/TSX Composite Index printing a 12H Buy signal on that same 12H Timeframe and its corresponding signal within the screener window.
** The format of the table, cells and text can be changed without notice, but it is my plan to make as many things as possible with regards to the table, editable by the user in the long term.
About the FSS Indicator:
This FSS Indicator script (which is included within this screener) is unique not only in that it removes the need for the user to run each of these indicators individually; it provides an ‘at-a-glance’ summary of the aggregate indicator data, while also providing the user a simultaneous recommended stop loss value based on past market behavior for the given asset and the user's tolerance to risk by editing the ATR Multiplier in the inputs.
The basic concept of the script is to apply past data to present market conditions, and through the use of that data, provide an additional confluence/confirmation signal which simultaneously provides a recommended stop loss value based on average true range (ATR).
The FSS Indicator uses a blend of :
RSI: If within a defined RSI range, increments print score.
MACD: trend and crossovers increment print score.
Histogram: increments print score if a trend of X candles is up or down.
21 EMA: Increments print score if price is above/below 21EMA.
Parabolic SAR: Increments print score if price is above/below Parabolic SAR .
These parameters generate a print score, which is then determined to be sufficient or not to print a LONG or a SHORT signal on the candle.
The indicator isn't built to find bottoms or tops, won't trigger 100% of the time, but should see a high success rate when triggered on higher timeframes. After testing on several pairs/tickers ( Bitcoin , Ethereum , XRP, DJI, SPX and others) on multiple timeframes I have seen the best results on 12-hour, Daily, 2-day, 3-day & weekly timeframes. The success criteria are as follows: Stop Loss not hitting before a rise of at least 10% in value for a long, or a loss of at least 10% in value for a short; waiting until the signal-candle closes for confirmation and back testing.
**Disclaimer: The recommendations of the Indicator/Screener are the result of back-tests and past results will never guarantee future performance of this script on any chart.**
ICT MTF FVG [MK]FVGs (Fair Value Gaps) are significant levels that may act as support or resistance to price. The script finds FVGs as per ICT trading system, then plots the full FVG to the right side of the chart. FVG boxes do not change size when they are semi-mitigated as its important to know where the original FVG midpoint lies. Plotting to the right side of price allows for a cleaner chart. The script is MTF and can display FVG boxes for the following timeframes. Chart, 5,10,15,30,1hr,4hr,8hr,12hr,D,W,M.
Below shows 1hr FVGs marked out. NOTE: this is not what the script does, this is for explanation only.
Below shows what the script will do. 1hr FVGs shown on 15min chart
ICT MTF Order Block Wicks [MK]Order Blocks are significant levels that may act as support or resistance to price. Often the wick area is where price may react. The script finds order blocks as per ICT trading system, then plots either the top or bottom wick area to the right side of price. Plotting to the right side of price allows for a cleaner chart. The script is MTF and can display order block boxes for the following timeframes. 5,10,15,30,1hr,4hr,8hr,12hr,D,W,M. Only order blocks of a higher timeframe than the current chart can be shown.
Below shows how order block wicks should be drawn on a 1hr chart NOTE: this is not what the indicator does, its only for explanation.
Below shows the same 1hr order blocks, but shown on a 15min chart NOTE: this is the function of this indicator.
ORB PSAR MTFThis is an adaptation of the inbuilt PSAR function in a Multi Time Frame .
When MTF enabled It will plot two timeframe simultaneously as follows:-
1 Min with 5 Min (HTF)
5 Min with 15 Min(HTF)
15 Min with 1H(HTF)
1H with 4H(HTF)
4H with Daily(HTF)
Daily with Weekly(HTF)
Weekly with Monthly(HTF)
The higher timeframe(HTF) will get plotted in bigger circled lines.
By enabling plotting of all levels, you can see all current levels of all TF( M1 ,M5,M15,H,4H,D,W,M) on the same screen as "X" on the right side.
Alerts allow you to get alerts when these crossover happens.
Concept Credits: Deishma (Nimblr)
Bender Money Flow Index MTF with Buy & Sell SignalsMFI = Money Flow Index
MTF = Multi Timeframe
The Money Flow Index (MFI) is a technical indicator that can generate sentiment insight or pressure using both price and volume data.
Configurable Indicator Signals
Signal on MFI line directional changes
Invalidate Signal if not in a overbought or oversold pressure zone
Invalidate signal if MFI line is not in confluence with the moving average
Invalidate signal after a defined number of bars in the opposing direction
Please Note:
This indicator is also embedded in the Bender Bot strategy script. Signals and confluence identified by this indicator can be used to autonomously mange strategies. The below features will not have any effect on this indicator's functionality when used as a stand alone indicator.
Bender Bot Strategy Confluence
Require any signal and MFI directional confluence before opening any trade
Require any signal and MFI and Moving average to be in confluence before opening any trade
Require any signal to be in directional confluence with the full MFI signal
Please feel free to contact me with any questions or concerns.
[7H] Trading HUD - MTF EMAs and RSIThis is a MTF HUD built around Chartguy Dan's trading style of 12/26 EMAs and RSI levels from multiple time frames. The HUD is configurable, allowing you to change the time frame of RSI levels and EMAs. The EMAs can be displayed at their current price or a percentage distance away. The HUD values will change color.
[blackcat] L2 Auto MTF Pivot Forecast Level 2
Background
A algo for pivot points forecast for each bar of automatic multiple timeframe (MTF) data.
Function
In financial markets, a pivot point is a price level that is used by traders as an indicator of market movement. Pivot points are averaged from important prices (highest, lowest, closing) based on the market performance of the previous time period. There are many ways to calculate the pivot point. The pivot point is calculated using the highest price (H), the lowest price (L) and the closing price (C) of the previous time period, and sometimes the opening price of the current time period Valence (O) was added to it.
S1 yellow
S2 white
R1 Orange
R2 fuchsia
The smoothing parameter default to 55
The pivot point indicator can be used in two ways. First, the pivot point can be used as a price trend confirmation. It is generally believed that if the price is above the pivot point in the latter period of time, the market is considered to be in a bull market sentiment, otherwise it is considered to be in a bear market sentiment. Second, support and resistance levels are mainly used as exit positions. For example, R1 and R2 can be used as trade targets if the market price breaks above a pivot point. If the market effectively breaks R1 and R2, traders may consider adding to their long positions.
Remarks
Feedbacks are appreciated.
