Swing Failure Pattern SFP [TradingFinder] SFP ICT Strategy🔵 Introduction
The Swing Failure Pattern (SFP), also referred to as a "Fake Breakout" or "False Breakout," is a vital concept in technical analysis. This pattern is derived from classic technical analysis, price action strategies, ICT concepts, and Smart Money Concepts.
It’s frequently utilized by traders to identify potential trend reversals in financial markets, especially in volatile markets like cryptocurrencies and forex. SFP helps traders recognize failed attempts to breach key support or resistance levels, providing strategic opportunities for trades.
The Swing Failure Pattern (SFP) is a popular strategy among traders used to identify false breakouts and potential trend reversals in the market. This strategy involves spotting moments where the price attempts to break above or below a previous high or low (breakout) but fails to sustain the move, leading to a sharp reversal.
Traders use this strategy to identify liquidity zones where stop orders (stop hunt) are typically placed and targeted by larger market participants or whales.
When the price penetrates these areas but fails to hold the levels, a liquidity sweep occurs, signaling exhaustion in the trend and a potential reversal. This strategy allows traders to enter the market at the right time and capitalize on opportunities created by false breakouts.
🟣 Types of SFP
When analyzing SFPs, two main variations are essential :
Real SFP : This occurs when the price breaks a critical level but fails to close above it, then quickly reverses. Due to its clarity and strong signal, this SFP type is highly reliable for traders.
Considerable SFP : In this scenario, the price closes slightly above a key level but quickly declines. Although significant, it is not as definitive or trustworthy as a Real SFP.
🟣 Understanding SFP
The Swing Failure Pattern, or False Breakout, is identified when the price momentarily breaks a crucial support or resistance level but cannot maintain the movement, leading to a rapid reversal.
The pattern can be categorized as follows :
Bullish SFP : This type occurs when the price dips below a support level but rebounds above it, signaling that sellers failed to push the price lower, indicating a potential upward trend.
Bearish SFP : This pattern forms when the price surpasses a resistance level but fails to hold, suggesting that buyers couldn’t maintain the higher price, leading to a potential decline.
🔵 How to Use
To effectively identify an SFP or Fake Breakout on a price chart, traders should follow these steps :
Identify Key Levels: Locate significant support or resistance levels on the chart.
Observe the Fake Breakout: The price should break the identified level but fail to close beyond it.
Monitor Price Reversal: After the breakout, the price should quickly reverse direction.
Execute the Trade: Traders typically enter the market after confirming the SFP.
🟣 Examples
Bullish Example : Bitcoin breaks below a $30,000 support level, drops to $29,000, but closes above $30,000 by the end of the day, signaling a Real Bullish SFP.
Bearish Example : Ethereum surpasses a $2,000 resistance level, rises to $2,100, but then falls back below $2,000, forming a Bearish SFP.
🟣 Pros and Cons of SFP
Pros :
Effective in identifying strong reversal points.
Offers a favorable risk-to-reward ratio.
Applicable across different timeframes.
Cons :
Requires experience and deep market understanding.
Risk of encountering false breakouts.
Should be combined with other technical tools for optimal effectiveness.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
SFP Type : Choose between "All", "Real" and "Considerable" modes to identify the swing failure pattern.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert SFP : Enables alerts for Swing Failure Pattern.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Swing Failure Pattern (SFP), or False Breakout, is an essential analytical tool that assists traders in identifying key market reversal points for successful trading.
By understanding the nuances between Real SFP and Considerable SFP, and integrating this pattern with other technical analysis tools, traders can make more informed decisions and better manage their trading risks.
Educational
ICT Time Levels Description:
The Time Levels Indicator is designed to enhance trading decisions by marking significant price levels at key times throughout the trading day. This indicator specifically focuses on three crucial times: 8:30 AM, 9:30 AM, and 10:00 AM (UTC-4), which are often associated with significant market movements.
Key Features:
Customizable Time Levels: Users can toggle the display of price levels at 8:30 AM, 9:30 AM, and 10:00 AM. Each level is marked with a line on the chart, which helps traders visually identify these critical points.
Style and Color Options: Customize the appearance of each time level with different line styles (solid, dotted, dashed) and colors to match your chart preferences.
Dynamic Labeling: The indicator automatically places a label at the current price level for each time, making it easier to identify and track these levels as the day progresses.
Real-Time Updates: As the trading session unfolds, the indicator adjusts the lines and labels to reflect the latest price data at the specified times.
How It Works:
At the specified times (8:30 AM, 9:30 AM, and 10:00 AM), the indicator captures the opening price and plots a horizontal line at that level.
These lines serve as reference points, helping traders to observe how the price interacts with these key levels throughout the day.
The lines and labels are fully customizable, allowing users to adapt the indicator to their trading style and visual preferences.
Use Cases:
Market Open Strategies: Traders can use the 9:30 AM level to monitor the opening price of the New York Stock Exchange (NYSE), which often sets the tone for the trading session.
Morning Volatility: The 8:30 AM and 10:00 AM levels can be useful for identifying potential support and resistance levels during periods of increased volatility, such as economic data releases or after the market opens.
This indicator is particularly useful for intraday traders who focus on morning trading sessions and want to have a clear visual reference to guide their decisions.
Note: This script is designed to be simple yet effective, providing traders with essential information without cluttering the chart.
Simple Price Action [Luxmi AI]Introducing the Simple Price Action Indicator
The Simple Price Action Indicator is designed to help traders quickly identify market trends and make informed decisions. This custom-built Pine Script tool changes candle colors on your chart based on price movement:
- Lime Green Candles indicate bullish momentum when the current price closes above the previous candle’s high.
- Red Candles signal bearish momentum when the price closes below the previous candle’s low.
Alongside these visual cues, the indicator generates Buy and Sell signals based on color changes:
- A buy signal appears when a red candle turns green.
- A sell signal shows up when a green candle turns red.
These signals are displayed directly on the chart as small labels ("B" for buy and "S" for sell), helping you easily spot trading opportunities. You can also set up alerts to notify you whenever a new signal is triggered, ensuring you never miss a trade.
The Simple Price Action Indicator is a straightforward yet effective tool for traders looking to enhance their price action analysis.
How It Works: Under the Hood
The script begins by defining two key colors—lime green for bullish candles and red for bearish candles. It then determines the candle color based on the closing price relative to the previous candle's high and low. If a bullish or bearish condition is met, the candle is colored accordingly.
Next, the script checks for a change in candle color to generate buy and sell signals. If a candle turns green after being red, a buy signal is plotted below the candle. If a candle turns red after being green, a sell signal is plotted above the candle.
Finally, the script includes alert conditions that correspond to these buy and sell signals, ensuring you can react quickly to potential trades.
Matrix Glitch | FractalystThe Matrix Glitch indicator is a visually engaging tool for traders, inspired by the iconic Matrix movie effects. It overlays price charts with dynamic, multi-colored glitches that sync with market data, creating a striking, almost surreal visual experience.
The indicator uses characters from various languages (e.g., Japanese, Chinese, Russian, English) to mimic the digital rain effect from the movies. Users can select a language, which activates a corresponding array of characters. These characters are randomly picked from the chosen array and displayed on the chart.
Underlying Calculations and Logic
Arrays in the Indicator
1- Character Management:
The script uses arrays to store sets of characters representing different symbols or alphabets. These arrays allow the indicator to dynamically select and update characters for display. Each element in these arrays corresponds to a specific character that will be used to populate the grid.
2- Current and Previous States:
Arrays are employed to keep track of the current state of characters that are displayed on the grid. Simultaneously, another set of arrays records the previous state of these characters. This dual-state management allows the script to smoothly transition between updates, handling changes in characters and visual effects like fading.
3- Transparency Control:
Transparency levels for each character in the grid are managed through arrays. These arrays store the opacity values, ensuring that each character has the appropriate level of transparency. By comparing the current and previous transparency states, the script can create effects like gradual fading or intensifying visibility.
4- Rain Effect Simulation:
To create the "rain" effect, the script maintains arrays that simulate the falling text by continuously updating the position and visibility of characters. As new characters enter the top of the grid, older ones are removed from the bottom, with their transparency levels adjusted to simulate movement.
5- Operational Flow:
Initialization : Arrays are initialized to manage both the characters and their transparency. This setup allows the script to handle the dynamic display efficiently.
Updates : During each cycle, new characters are selected and old characters are shifted accordingly. The arrays ensure that both the content and appearance of the grid are updated seamlessly.
Rendering : The arrays dictate how characters and their transparency are rendered on the grid, ensuring a cohesive and visually appealing effect.
Here's how to use the indicator step-by-step:
1- Apply the Indicator to Your Charts:
Begin by adding the indicator to your chart. This will activate the visual effect on your selected trading instrument or time frame.
Select Your Preferred Language of the Matrix Characters:
In the settings, choose the language or symbol set you want the matrix characters to display. This could be anything from traditional matrix-style characters to different alphabets or custom symbols.
2- Choose the Matrix Effect (Rain, Burst):
Decide on the type of visual effect you prefer. You can select from options like the classic "rain" effect, where characters fall from the top of the screen, or a "burst" effect, where characters explode outward or appear in a different dynamic pattern.
3- Adjust the Color According to Your Preference:
Customize the color of the matrix characters to suit your aesthetic or chart theme. You can select from a range of colors or even set up a gradient for more complex visual effects.
4- Adjust the Width and Height of the Matrix According to Your Screen:
Fine-tune the dimensions of the matrix display. Set the width and height so that the matrix fits perfectly on your screen, ensuring that it aligns well with other chart elements and doesn't obstruct your view.
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What Makes the Matrix Glitch Indicator Unique?
Language Selection:
Customizable Language: Unlike many indicators that might offer static or limited visual elements, the Matrix Glitch Indicator allows users to choose from a variety of languages for the characters displayed. This feature not only personalizes the user experience but also adds a cultural or linguistic element to trading charts. Users can select languages like Japanese, Chinese, Russian, or English, and many more.
This flexibility ensures that traders from different backgrounds can feel a connection with their charts through familiar or exotic scripts.
Dynamic Effects:
Effect Modes: The indicator offers two distinct modes - Rain Mode and Burst Mode. In Rain Mode, characters fall from the top of the chart, mimicking the iconic digital rain from the Matrix films.
In Burst Mode, characters radiate outward from a central point, creating a unique visual effect that can be synchronized with market volatility.
This dual-mode functionality allows traders to choose how they want their data to be visually represented, providing both aesthetic variety and potentially different insights into market behavior.
Color Customization:
Full Color Control: The ability to fully customize the color of the characters is a standout feature. Traders can match the indicator's colors to their trading platform's theme, their mood, or even specific market conditions (e.g., red for downturns, green for upturns). This level of customization not only aids in creating a personalized trading environment but can also serve as a visual cue for different market states.
Universal Display Compatibility:
Adjustability for All Displays: The indicator is designed to be fully adjustable for various screen resolutions and sizes. This ensures that whether you're trading on a high-resolution monitor, a laptop, or even a mobile device, the Matrix Glitch effect remains clear and impactful without compromising on the functionality of the trading chart. This adaptability is crucial in an era where trading can happen anywhere, making the indicator a versatile tool for traders on the go or in a static setup.
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Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
DAILY CANDLE SIZE TRACKERDAILY CANDLE SIZE TRACKER
The daily candle size Indicator is a versatile tool designed to measure and analyze the length of candlesticks on your TradingView chart. This indicator helps traders gain insights into market volatility and price movement by displaying the relative size of particular size of candle in terms of its range (open to close) of particular day of week.
Key Features:
Visual Representation: Displays the length of every qualified candle directly on the chart, allowing for immediate visual assessment.
Historical Analysis: View the lengths of past candles to identify patterns or changes in market volatility over time of certain size of candle.
Usage:
• Probability analysis : It help to analyze candles based on candle size on particular days of the week.
• Volatility Assessment: Large candles may indicate higher market volatility, while smaller candles can suggest periods of consolidation or lower volatility.
• Trade Confirmation: Use candle length information in conjunction with other technical indicators to confirm trade signals and refine entry and exit points.
USER INPUTS
• DAY LABEL: Select Particular day of week or all days of week.
• START DATE : Select the prefer date from where you want to calculate.
• CANDLE LENGTH : Define length of candle on the basis of open to close.
******************* THIS INDICATOR ONLY WORKS ON DAILY TIMEFRAME**************
Screener | FractalystWhat’s the purpose of this indicator?
This indicator is part of the Optirange suite , which analyzes all timeframes using a mechanical top-down approach to determine the overall market bias. It helps you identify the specific timeframes and exact levels for positioning in longs, shorts, or guiding you on whether to stay away from trading a particular market condition.
The purpose of the Screener indicator is to track the contextual bias of multiple markets simultaneously on the charts without the need to switch between pairs. This allows traders to monitor various assets in real-time, enhancing decision-making efficiency and identifying potential trading opportunities more effectively.
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How does this indicator identify the overall market bias?
This indicator employs a systematic top-down approach, analyzing market structure, fractal blocks, and their mitigations from the 12M timeframe down to the 1D timeframe to uncover the story behind the market. This method helps identify the overall market bias, whether it’s bullish, bearish, or in consolidating conditions.
Below is a flowchart that illustrates the calculation behind the market context identification, demonstrating the systematic approach:
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According to the above trade plan, why do we only look for mitigations within Fractal Blocks of X1/X2?
In this context, "X" stands for a break in the market's structure, and the numbers (1 and 2) indicate the sequence of these breaks within the same trend direction, either up or down.
We focus on mitigations within Fractal Blocks during the X1/X2 stages because these points mark the early phase (X1) and the continuation (X2) of a trend. By doing so, we align our trades with the market's main direction and avoid getting stopped out in the middle of trends.
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How does this indicator identify ranges in a mechanical way?
Since the indicator is part of the Optirange suite , it follows the exact rules that Optirange utilizes to identify breaks of market structures in a mechanical manner.
Let’s take a closer look at how the ranges are calculated:
1- First, we need to understand the importance of following a set of mechanical rules in identifying market structure:
The image above illustrates the difference between a subjective and a mechanical approach to analyzing market structure. The subjective method often leads to uncertainty, where traders might struggle to pinpoint exact breaks in structure, resulting in inconsistent decision-making. Questions like “Is this a break?” or “Maybe this one...?” reflect the ambiguity of manual interpretation, which can cause confusion and errors in trading.
On the other hand, the mechanical approach depicted on the right side of the image follows a clear, rule-based method to define breaks in market structure. This systematic approach eliminates guesswork by providing precise criteria for identifying structural changes, such as marking structural invalidation levels where market bias shifts from bullish to bearish or vice versa. The mechanical method not only offers consistency but also integrates statistical probabilities , enhancing the trader's ability to make data-driven decisions.
By adhering to these mechanical rules, the Screener indicator ensures that ranges are identified consistently, allowing traders to rely on objective analysis rather than subjective interpretation . This approach is crucial for accurately defining market structures and making informed trading decisions.
2- Now let's take a look at a practical example of how the indicator utilizes Pivot points with a period of 2 to identify ranges:
In this image, we see a Bearish Scenario on the left and a Bullish Scenario on the right. The indicator starts by identifying the first significant swing on the chart. It then validates this swing by checking if there is a preceding swing high (for a bearish scenario) or swing low (for a bullish scenario). Once validated, the indicator confirms a break of structure when price closes below or above these points, respectively.
For instance, in the Bearish Scenario:
The first significant swing is identified.
The script checks for a preceding swing high before confirming any structural break.
A candle closure below the swing low confirms the first bearish break of structure.
This results in a confirmed market bias towards bearishness, with structural liquidity levels indicated for potential price targets.
In the Bullish Scenario:
The process is mirrored, identifying the first swing low and validating it with a preceding swing low.
A closure above this swing confirms the bullish break of structure.
This leads to a market bias towards bullishness, with invalidation levels to watch if the trend shifts.
This practical example demonstrates how the indicator systematically identifies market ranges, ensuring that traders can make informed decisions based on clear, rule-based criteria.
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How does this indicator identify ranges in a mechanical way, What are the underlying calculations?
Fractal blocks refer to the most extreme swing candle within the latest break. They can serve as significant levels for price rejection and may guide movements toward the next break, often in confluence with topdown analysis for added confirmation.
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What are mitigations, What are the underlying calculations?
Mitigations refer to specific price action occurrences identified by the script:
1- When the price reaches the most recent fractal block and confirms a swing candle, the script automatically draws a line from the swing to the fractal block bar and labels it with a checkmark.
2- If the price wicks through the invalidation level and then retraces back to the fractal block while forming a swing candle, the script labels this as a double mitigation on the chart.
This level will serve as the next potential invalidation level if a break occurs in the same direction.
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What does the right table display?
The table located at the right of your chart displays five colored symbols that represent the contextual market bias:
Green: The market is in a bullish condition.
Red: The market is in a bearish condition.
White: The market condition is uncertain, and it is advisable to stay away from trading.
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What does the bottom table display?
The bottom table can be turned on in the Optirange indicator and serves multiple purposes:
Range Counts and Mitigations: It shows the range counts and their mitigations across multiple timeframes, providing a comprehensive view of market dynamics.
Hourly Timeframe Probabilities: The bottom row of the bias table displays the probabilities for various hourly timeframes, helping to identify potential entry levels based on the multi-timeframe bias determined by the Screener.
In a bullish market context, you should look for long positions by focusing on hourly timeframes where buy-side probability exceeds 50%.
In a bearish market context, you should look for short positions by focusing on hourly timeframes where the sell-side probability exceeds 50%.
When the symbol is white within the Screener table, it signals that the market bias is unclear, and it's recommended to stay away from trading in such conditions.
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How the range probabilities are calculated?
Each break of market structure, denoted as X, is assigned a unique ID, starting from X1 for the first break, X2 for the second, and so on.
The probabilities are calculated based on breaks holding, meaning price closing through the liquidity level, rather than invalidation. This probability is then divided by the total count of similar numeric breaks.
For example, if 75 out of 100 bullish X1s become X2, then the probability of X1 becoming X2 on your charts will be displayed as 75% in the following format: ⬆ 75%
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What does the top table display?
The top table on the charts displays the current market context, offering insights into the underlying bias. It highlights the high-timeframe (HTF) bias and guides you on which timeframes you should use to enter long or short positions, based on the probability of success.
Additionally, when the market bias is unclear, the table clearly signals that it's best to avoid trading that specific market until the context or market story becomes clearer. This helps traders make informed decisions and avoid uncertain market conditions.
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How does the Screener indicator identify the market bias/context/story ?
- Market Structure: The Optirange indicator analyzes market structure across multiple timeframes, from a top-down perspective, including 12M, 6M, 3M, 1M, 2W, 1W, 3D, and 1D.
- Fractal Blocks: Once the market structure or current range is identified, the indicator automatically identifies the last push before the break and draws it as a box. These zones acts as a key area where the price often rejects from.
- Mitigations: After identifying the Fractal Block, the indicator checks for price mitigation or rejection within this zone. If mitigation occurs, meaning the price has reacted or rejected from the Fractal Block, the indicator draws a checkmark from the deepest candle within the Fractal Block to the initial candle that has created the zone.
- Bias Table: After identifying the three key elements—market structure, Fractal Blocks, and price mitigations—the indicator compiles this information into a multi-timeframe table. This table provides a comprehensive top-down perspective, showing what is happening from a structural standpoint across all timeframes. The Bias Table presents raw data, including identified Fractal Blocks and mitigations, to help traders understand the overall market trend. This data is crucial for the screener, which uses it to determine the current market bias based on a top-down analysis.
- Screener: Once all higher timeframes (HTF) and lower timeframes (LTF) are calculated using the indicator, it follows the exact rules outlined in the flowchart to determine the market bias. This systematic approach not only helps identify the current market trend but also suggests the exact timeframes to use for finding entry, particularly on hourly timeframes.
Example:
12M Timeframe:
OANDA:EURUSD
6M Timeframe :
OANDA:EURUSD
3M Timeframe :
OANDA:EURUSD
1M Timeframe :
OANDA:EURUSD
2W Timeframe :
OANDA:EURUSD
1W Timeframe :
OANDA:EURUSD
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User-input settings and customizations
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. By utilizing our charting tools, the buyer acknowledges that neither the seller nor the creator assumes responsibility for decisions made using the information provided. The buyer assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses. Therefore, by purchasing these charting tools, the customer acknowledges that neither the seller nor the creator is liable for any unfavorable outcomes resulting from the development, sale, or use of the products.
The buyer is responsible for canceling their subscription if they no longer wish to continue at the full retail price. Our policy does not include reimbursement, refunds, or chargebacks once the Terms and Conditions are accepted before purchase.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer.
Buy script for stocks mathematical calculation chart. it is totally based on the square root calculation of previous day + 66.66% of Square root. ( last dat sqrt+66.66% of Sqrt). buy above the value. best for stock in intraday
Open-Close Price DifferenceInput time A (open time) and time B (closing time)
do not do anything with the year-month-date, it's there because I don't know how to fix it and it needs to be in such format.
the difference of price will be shown on the indicator window one candle after the closing time (opening at such time)
For research purpose only, no other intended purposes.
Greer BuyZone toolGreer BuyZone Tool
Description:
The Greer BuyZone Tool is a custom Pine Script indicator designed to help identify potential long-term investment opportunities by marking BuyZones on the chart. This tool utilizes the Aroon indicator in combination with Fibonacci numbers to define periods where the asset might be a good candidate for dollar-cost averaging.
Features:
BuyZone Detection: The script identifies and marks the beginning and end of a BuyZone with vertical lines and labels.
Visual Markers: A red vertical line and label indicate the start of a BuyZone, while a green vertical line and label mark the end of a BuyZone.
Aroon Indicator Calculation: Utilizes the Aroon indicator with a Fibonacci length (233) to determine key price levels.
How to Use:
Setup: Add the Greer BuyZone Tool to your TradingView chart. It will display vertical lines and labels marking the BuyZone periods.
BuyZone Identification: Use the red lines and labels ("BZ Begins ->>") to identify the start of a BuyZone, and the green lines and labels ("<<- BZ Ends") to determine when the BuyZone ends.
Long-Term Investment: This tool is intended for long-term investing and dollar-cost averaging strategies, not for day trading.
Disclaimer:
This script is provided for informational purposes only and is not intended as financial advice. The Greer BuyZone Tool is designed to assist in identifying potential long-term investment opportunities and is not suitable for day trading. The use of this tool involves risk, and there is no guarantee of profitability. Users are advised to conduct their own research and consult with a qualified financial advisor before making any investment decisions. The creator of this script assumes no liability for any losses or damages resulting from the use of this indicator.
Author: Sean Lee Greer
Date: 9/1/2024
Dynamic Trailing Stop with Trend ChangeKey features of this script:
Trend Identification: Uses previous day's high/low breaks to identify trend changes.
Uptrend starts when price closes above the previous day's high.
Downtrend starts when price closes below the previous day's low.
Dynamic Trailing Stop:
In an uptrend, the stop is set to the previous day's low and trails higher.
In a downtrend, the stop is set to the previous day's high and trails lower.
Visual Indicators:
Green triangle for uptrend start, red triangle for downtrend start.
Green/red line for the trailing stop.
Background color changes to light green in uptrends, light red in downtrends.
Alerts:
Trend change alerts when a new trend is identified.
Stop hit alerts when price crosses the trailing stop, suggesting a potential exit.
This implementation allows you to:
Identify trend changes based on previous day's high/low breaks.
Trail your stop loss dynamically as the trend progresses.
Get visual and alert-based signals for trend changes and potential exit points.
For swing trading, you could:
Enter long when an uptrend starts (green triangle).
Set your initial stop loss to the trailing stop (green line).
Exit if the price closes below the trailing stop or a downtrend starts (red triangle).
(Reverse for short trades)
Remember, while this strategy can be effective, it's important to combine it with other forms of analysis and proper risk management. The effectiveness can vary depending on the volatility of the asset and overall market conditions. Always test thoroughly before using in live trading.
RSI & ADX [deepakks444]This Pine Script is designed to provide a comprehensive view of market conditions by combining the Relative Strength Index (RSI) and the Average Directional Index (ADX) indicators. The script offers a range of customizable features to help traders analyze trends, identify overbought and oversold conditions, and make informed trading decisions.
Key Features:
RSI and ADX Calculation:
The script calculates the RSI and ADX values based on user-defined lengths.
The RSI indicator helps identify overbought and oversold conditions.
The ADX indicator measures the strength of the trend.
Trend Identification:
The script uses the Directional Movement Index (DMI) to determine bullish and bearish trends.
It highlights strong trends by changing the background color.
Customizable Colors:
Users can choose to color candles based on ADX or RSI values.
The RSI line can be displayed in a single color or change color based on its value.
Overbought and Oversold Zones:
The script visually represents overbought and oversold zones with fading color effects.
This helps traders quickly identify potential reversal points.
Dynamic Midline:
The midline (50) of the RSI changes color based on the trend direction, providing additional visual cues.
Side Panel for ADX and RSI Values:
A side panel displays the current RSI and ADX values with color-coded boxes for easy reference.
Customizable Parameters:
Users can adjust various parameters such as RSI length, ADX length, ADX threshold, and levels for overbought and oversold zones.
Usage:
Trend Analysis: Use the ADX and DMI to identify strong trends and their direction.
Overbought/Oversold Conditions: Monitor the RSI to spot potential reversal points.
Visual Aids: Utilize the color-coded candles, background, and fading zones to quickly assess market conditions.
This script is designed to be user-friendly and highly customizable, allowing traders to tailor the indicators to their specific trading strategies and preferences. By combining the strengths of RSI and ADX, this script provides a powerful tool for technical analysis.
JL Swing Signal - {UT}Hello all, This signal is created based on Jesse Livermore's formula, I have tried to enhance it by including other elements to make the experience better and rewarding.
1. Swing Highs and Swing Lows:
>Identifies a swing high when the current high is higher than the highs of the specified number of bars to its left and right.
>Identifies a swing low when the current low is lower than the lows of the specified number of bars to its left and right.
>Also marks the confirmed swing highs (SH) and swing lows (SL) on the chart for visual reference.
2. Breakout Confirmation:
> Finds out when the closing price crosses above the last confirmed swing high.
> Ensures that the breakout is sustained for the defined number of confirmation bars to filter out false breakouts.
>BuySignal: A buy signal is generated only when both the breakout and hold conditions are met.
3. Trend Filter:
>EMA Calculation: A 50-period EMA is used to filter trades in the direction of the existing trend. Trades are only taken in the direction of the trend.
>Ensures buy signals are only triggered if the price is above the EMA, indicating an uptrend.
4. Volume Confirmation:
Volume Moving Average: A 20-period Simple Moving Average (SMA) of volume is calculated to compare current volume levels.
5. Profit Target:
ATR-Based Profit Target: A dynamic profit target is set based on a multiple of the ATR. This helps capture profits when the market moves in the trade's favor.
6. Exit Strategy:
Stop Loss and Profit Target: The script exits the trade if the price hits the stop loss or the profit target.
Interpretaion:
Buy Signals: Displayed with a green "BUY" label.
Stop Loss and Profit Target: Plotted as orange and green lines, respectively.
Exit Signals: Displayed with a red "EXIT" label when the exit conditions are met.
Bat Harmonic Pattern [TradingFinder] Bat Chart Indicator🔵 Introduction
The Bat Harmonic Pattern, created by Scott Carney in the 1990s, is a sophisticated tool in technical analysis, used to identify potential reversal points in price movements by leveraging Fibonacci ratios.
This pattern is classified into two primary types: the Bullish Bat Pattern, which signals the end of a downtrend and the beginning of an uptrend, and the Bearish Bat Pattern, which indicates the conclusion of an uptrend and the onset of a downtrend.
🟣 Bullish Bat Pattern
The Bullish Bat Pattern is designed to identify when a downtrend is likely to end and a new uptrend is about to begin. The key feature of this pattern is Point D, which typically aligns near the 88.6% Fibonacci retracement of the XA leg.
This point is considered a strong buy zone. When the price reaches Point D after a significant downtrend, it often indicates a potential reversal, presenting a buying opportunity for traders anticipating the start of an upward movement.
🟣 Bearish Bat Pattern
In contrast, the Bearish Bat Pattern forms when an uptrend is nearing its conclusion. Point D, which also typically aligns near the 88.6% Fibonacci retracement of the XA leg, serves as a critical point for traders.
This point is regarded as a strong sell zone, signaling that the uptrend may be ending, and a downtrend could be imminent. Traders often open short positions when they identify this pattern, aiming to capitalize on the anticipated downward movement.
🔵 How to Use
The Bat Pattern consists of five key points: X, A, B, C, and D, and four waves: XA, AB, BC, and CD. Fibonacci ratios play a crucial role in this pattern, helping traders pinpoint precise entry and exit points. In both the Bullish and Bearish Bat Patterns, the 88.6% retracement of the XA leg is a critical level for identifying potential reversal points.
🟣 Bullish Bat Pattern
Traders typically enter buy positions after Point D forms, expecting the downtrend to end and a new uptrend to start. This point, located near the 88.6% retracement of the XA leg, serves as a reliable buy signal.
🟣 Bearish Bat Pattern
Traders usually open short positions after identifying Point D, expecting the uptrend to end and a downtrend to begin. This point, also near the 88.6% retracement of the XA leg, acts as a valid sell signal.
🟣 Trading Tips for the Bat Pattern
Accurate Fibonacci Point Identification : Accurately identify Points X, A, B, C, and D, and calculate the Fibonacci ratios between these points. Point D should ideally be near the 88.6% retracement of the XA leg.
Signal Confirmation with Other Tools : To enhance the pattern's accuracy, avoid trading solely based on the Bat Pattern.
Risk Management : Always use stop-loss orders. In a Bullish Bat Pattern, place the stop-loss below Point X, and in a Bearish Bat Pattern, above Point X. This helps limit potential losses if the pattern fails.
Wait for Price Movement Confirmation : After identifying Point D, wait for the price to move in the anticipated direction to confirm the pattern's validity before entering a trade.
Set Realistic Profit Targets : Use Fibonacci retracement levels to set realistic profit targets, such as 38.2%, 50%, and 61.8% retracement levels of the CD leg. This strategy helps maximize profits and prevents premature exits.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Bat Harmonic Pattern is a powerful tool in technical analysis, offering traders the ability to identify critical reversal points using Fibonacci ratios. By recognizing the Bullish and Bearish Bat Patterns, traders can anticipate potential trend reversals and make informed trading decisions.
However, it is essential to combine the Bat Pattern with other technical analysis tools and confirm signals for better trading outcomes. With proper use, this pattern can help traders minimize risk and optimize their entry and exit points in the market.
Volume Trap By IT Wala
Version 1.0
1. Purpose
Objective:
The "IT WALA - VOLUME TRAP" indicator is designed to identify potential bullish and bearish volume traps in the market. Volume traps occur when the market shows a misleading volume pattern that could trap traders into making incorrect decisions, such as buying into a false breakout or selling during a fake breakdown.
Target Audience:
This indicator is ideal for day traders and swing traders looking to improve their entry and exit points by identifying potential traps in price and volume dynamics. It is especially useful in volatile markets where volume analysis plays a critical role.
2. Key Features
Main Functionalities:
Volume-Price Relationship Analysis: The indicator analyzes the relationship between volume and price movement to detect situations where price action might mislead traders, typically referred to as volume traps.
Bullish and Bearish Volume Traps: It identifies both bullish and bearish volume traps and visually represents them on the chart with labels and colored boxes.
Customizable Lookback Period: Users can adjust the lookback period to refine the sensitivity of the trap detection based on their trading strategy.
Customization Options:
Lookback Period: The indicator allows users to adjust the lookback period, which influences how the highest highs and lowest lows are calculated for detecting volume traps.
Visual Elements:
Color-coded Bars: The indicator uses green, red, and yellow bars to visually distinguish between different volume-price relationships:
Green: Volume up, price up.
Red: Volume up, price down.
Yellow: Volume down, price either up or down, indicating a potential trap.
Labels and Boxes: The indicator marks detected bullish traps with a green label and bearish traps with a red label. Additionally, green and red boxes are drawn around these traps to highlight them on the chart.
3. Inputs
Explanation of Inputs:
Lookback Period (Default: 3): This input determines the number of bars to look back when calculating the highest high and lowest low for trap detection. Increasing the lookback period might help in identifying more significant traps, while a shorter period may detect more frequent but less significant traps.
Customization:
Users can adjust the lookback period to align with their specific trading strategy. The default is set to 3, but it can be increased or decreased depending on the desired sensitivity.
4. Output Interpretation
Signal Explanation:
Bullish Trap: A bullish trap is detected when, within the lookback period, the volume decreases while the price increases. This scenario often misleads traders into buying, thinking the market is strong, while it might be ready to reverse.
Bearish Trap: A bearish trap occurs when the volume decreases while the price decreases, potentially misleading traders into selling, expecting further decline, while the market could be about to turn bullish.
Visual Cues:
Green Label "Bullish Trap": Placed near the lowest low in the lookback period, indicating a potential buying trap.
Red Label "Bearish Trap": Placed near the highest high in the lookback period, indicating a potential selling trap.
Boxes: Green and red boxes are drawn around the bars where the traps are detected, helping traders quickly identify and interpret the signals.
5. Usage Guidelines
Timeframes and Markets:
This indicator works well on various timeframes but is most effective on intraday charts (e.g., 15-minute, 1-hour) and daily charts. It can be applied across different markets, including stocks, forex, and cryptocurrencies.
Integration with Other Indicators:
For better trade confirmation, consider using this indicator in conjunction with momentum indicators like RSI or MACD. This can help filter out false signals and provide more robust trading decisions.
Setup Tips:
Ensure that your chart settings allow for the display of labels and boxes. Adjust the lookback period based on the volatility of the market you are trading.
6. Performance and Limitations
Past Performance:
While the "IT WALA - VOLUME TRAP" indicator has shown effectiveness in backtesting, users should note that past performance does not guarantee future results. Market conditions can change, and the indicator may not perform as expected in all scenarios.
Repainting Issues:
This indicator does not repaint. Once a signal is generated, it remains fixed, providing traders with reliable historical data for analysis.
7. Disclaimers
Risk Warning:
Trading financial instruments involves significant risk, and it is possible to lose more than your initial investment. The "IT WALA - VOLUME TRAP" indicator is provided for educational purposes only and should not be considered financial advice.
Liability:
The creator, WOH_IT_WALA, is not liable for any financial losses incurred by users of this indicator. Users are encouraged to conduct their own research and use this tool as part of a comprehensive trading strategy.
8. Additional Information
Version and Updates:
This is version 1.0 of the "IT WALA - VOLUME TRAP" indicator. Future updates may include additional customization options and enhanced signal detection methods.
Support and Feedback:
For support, feedback, or suggestions, please contact the author through the TradingView messaging system or leave a comment in the indicator’s section.
Conclusion:
The "IT WALA - VOLUME TRAP" indicator is a valuable tool for traders looking to identify potential traps in volume and price action. By providing clear visual signals and customizable options, it empowers traders to make more informed decisions. However, users should always apply this indicator with caution and in conjunction with other analysis tools, maintaining a clear understanding of its limitations.
Market Sessions - by Alexander RottasMarket Sessions - Alexander Rottas
This TradingView indicator displays market sessions for USA, EUROPE, and ASIA on your chart. It provides a clear and intuitive way to identify the active market periods, making it easier to plan your trades.
Features:
Session Display: Optionally show market sessions for USA, EUROPE, and ASIA.
Customizable Timings: Set start and end times in UTC for each market session.
Visual Indicators: Color-coded squares indicate active sessions and their combinations:
USA Session: Blue
EUROPE Session: Purple
ASIA Session: Dull Orange
Combined Sessions: Lighter shades to show overlapping sessions
Session Labels: Dynamic labels at the start of each session to easily identify session beginnings on weekdays.
User-Friendly Design: This indicator is designed to be non-intrusive and easy to use, with a simple setup and clear visual cues. Unlike other complex tools, it integrates seamlessly into your chart without overwhelming your view, making it an ideal choice for traders seeking a straightforward way to track market sessions.
DISCLAIMER: This script is provided for educational purposes only. It cannot be used for commercial purposes or plagiarized. All rights reserved by the author. Unauthorized use or distribution of this script is prohibited. For more details, please contact the author directly.
Volatility with Power VariationVolatility Analysis using Power Variation
The "Volatility with Power Variation" indicator is designed to measure market volatility. It focuses on providing traders with a clear understanding of how much the market is moving and how this movement changes over time.. This indicator helps in identifying potential periods of market expansion or contraction, based on volatility.
What the indicator does:
This indicator analyzes volatility which refers to the degree of variation in the returns of a financial instrument over time. It's an important measure to understand how much the price and returns of a asset fluctuates. High volatility means large price swings, meanwhile low volatility indicates smaller and consolidating movements. Realized (Historical) Volatility refers to volatility based on past price data.
Power Variation
Power Variation is an extension of the traditional methods used to calculate realized volatility. Instead of simply summing up squared returns (as done in calculating variance), Power Variation raises the magnitude of returns to a power p . This allows the indicator to capture different types of market behavior depending on the chosen value of p .
When P = 2, the Power variation behaves like a traditional variance measure. Lower values of p (e.g., p=1) make the indicator more sensitive to smaller price changes, meanwhile higher values make it more responsive to large jumps, but smaller price moves wont affect the measure that much or won't most likely.
Bipower Variation
Bipower variation is another method used to analyze the changes in price. It specifically isolates the continuous part of price movements from the jumps, which can help by understanding whether volatility is coming from regular market activity or from sharp, sudden moves.
How to Use the Indicator.
Understand Realized and Historical Volatility. Volatility after periods of low volatility you can eventually expect a expansion or an increase in volatility. Conversely, after periods of high volatility, the market often contracts and volatility decreases. If the variation plot is really low and you start seeing it increasing, shown by the standard deviation channels and moving average and you see it trending and increasing then that means you can expect for volatility to increase which means more price moves and expansions. Also if the scaling seems messed up, then use the logarithmic chart scale.
Market Momentum @MaxMaseratiThe Market Momentum Indicator plots two essential lines on your chart: the Momentum Line and the Momentum Signal, enabling you to visualize price direction and detect potential shifts in that direction.
Momentum Line:
The Momentum Line is calculated by finding the highest and lowest prices over the last 14 periods and then determining the midpoint between them. This midpoint is what we call the Momentum Line.
Momentum Signal:
The Momentum Signal is simply the Momentum Line shifted upward by a small fixed amount called the tick_size, which is set to 0.25 in this script.
Why 0.25?: The 0.25 tick size is a standard increment in many markets. It creates a small but noticeable difference between the Momentum Line and the Momentum Signal, making it easier to spot changes in market momentum. It’s small enough to reflect minor shifts without distorting the indicator’s usefulness.
NB: The indicator was originally created to be use without smoothing, but I add it as an option for smoothing and moving average lovers.
Smoothing:
You have the option to smooth these lines using different types of moving averages, like SMA or EMA. Smoothing makes the lines less jagged and more gradual.
If you apply smoothing, the Momentum Line and Momentum Signal might cross each other depending on the market’s movement.
How to use it:
When both lines are below price, it might indicates a Bullish Momentum
When both lines are above the price, it could suggest a Bearish Momentum.
When the lines are within the price range, it indicates the market is in a consolidation phase, signaling the potential for a move in either direction.
snapshot
Users can view Momentum Line and Momentum Signal for two specific time frames of their choice. Additionally, they have the option to smooth the lines separately for each time frame. For example, if "TF1" is set to 15 minutes and the current chart time frame is 5 minutes, the table will display "TF1: 15" alongside "Current TF: 5." Another option, "TF2," could be set to 60 minutes. Both time frames will be plotted on the chart if selected.
This indicator can be use as a supporting tool alongside your chosen strategy. It’s not designed to be used on its own and should be part of a broader confluence approach.
Ticker Tape█ OVERVIEW
This indicator creates a dynamic, scrolling display of multiple securities' latest prices and daily changes, similar to the ticker tapes on financial news channels and the Ticker Tape Widget . It shows realtime market information for a user-specified list of symbols along the bottom of the main chart pane.
█ CONCEPTS
Ticker tape
Traditionally, a ticker tape was a continuous, narrow strip of paper that displayed stock prices, trade volumes, and other financial and security information. Invented by Edward A. Calahan in 1867, ticker tapes were the earliest method for electronically transmitting live stock market data.
A machine known as a "stock ticker" received stock information via telegraph, printing abbreviated company names, transaction prices, and other information in a linear sequence on the paper as new data came in. The term "ticker" in the name comes from the "tick" sound the machine made as it printed stock information. The printed tape provided a running record of trading activity, allowing market participants to stay informed on recent market conditions without needing to be on the exchange floor.
In modern times, electronic displays have replaced physical ticker tapes. However, the term "ticker" remains persistent in today's financial lexicon. Nowadays, ticker symbols and digital tickers appear on financial news networks, trading platforms, and brokerage/exchange websites, offering live updates on market information. Modern electronic displays, thankfully, do not rely on telegraph updates to operate.
█ FEATURES
Requesting a list of securities
The "Symbol list" text box in the indicator's "Settings/Inputs" tab allows users to list up to 40 symbols or ticker Identifiers. The indicator dynamically requests and displays information for each one. To add symbols to the list, enter their names separated by commas . For example: "BITSTAMP:BTCUSD, TSLA, MSFT".
Each item in the comma-separated list must represent a valid symbol or ticker ID. If the list includes an invalid symbol, the script will raise a runtime error.
To specify a broker/exchange for a symbol, include its name as a prefix with a colon in the "EXCHANGE:SYMBOL" format. If a symbol in the list does not specify an exchange prefix, the indicator selects the most commonly used exchange when requesting the data.
Realtime updates
This indicator requests symbol descriptions, current market prices, daily price changes, and daily change percentages for each ticker from the user-specified list of symbols or ticker identifiers. It receives updated information for each security after new realtime ticks on the current chart.
After a new realtime price update, the indicator updates the values shown in the tape display and their colors.
The color of the percentages in the tape depends on the change in price from the previous day . The text is green when the daily change is positive, red when the value is negative, and gray when the value is 0.
The color of each displayed price depends on the change in value from the last recorded update, not the change over a daily period. For example, if a security's price increases in the latest update, the ticker tape shows that price with green text, even if the current price is below the previous day's closing price. This behavior allows users to monitor realtime directional changes in the requested securities.
NOTE: Pine scripts execute on realtime bars when new ticks are available in the chart's data feed. If no new updates are available from the chart's realtime feed, it may cause a delay in the data the indicator receives.
Ticker motion
This indicator's tape display shows a list of security information that incrementally scrolls horizontally from right to left after new chart updates, providing a dynamic visual stream of current market data. The scrolling effect works by using a counter that increments across successive intervals after realtime ticks to control the offset of each listed security. Users can set the initial scroll offset with the "Offset" input in the "Settings/Inputs" tab.
The scrolling rate of the ticker tape display depends on the realtime ticks available from the chart's data feed. Using the indicator on a chart with frequent realtime updates results in smoother scrolling. If no new realtime ticks are available in the chart's feed, the ticker tape does not move. Users can also deactivate the scrolling feature by toggling the "Running" input in the indicator's settings.
█ FOR Pine Script™ CODERS
• This script utilizes dynamic requests to iteratively fetch information from multiple contexts using a single request.security() instance in the code. Previously, `request.*()` functions were not allowed within the local scopes of loops or conditional structures, and most `request.*()` function parameters, excluding `expression`, required arguments of a simple or weaker qualified type. The new `dynamic_requests` parameter in script declaration statements enables more flexibility in how scripts can use `request.*()` calls. When its value is `true`, all `request.*()` functions can accept series arguments for the parameters that define their requested contexts, and `request.*()` functions can execute within local scopes. See the Dynamic requests section of the Pine Script™ User Manual to learn more.
• Scripts can execute up to 40 unique `request.*()` function calls. A `request.*()` call is unique only if the script does not already call the same function with the same arguments. See this section of the User Manual's Limitations page for more information.
• This script converts a comma-separated "string" list of symbols or ticker IDs into an array . It then loops through this array, dynamically requesting data from each symbol's context and storing the results within a collection of custom `Tape` objects . Each `Tape` instance holds information about a symbol, which the script uses to populate the table that displays the ticker tape.
• This script uses the varip keyword to declare variables and `Tape` fields that update across ticks on unconfirmed bars without rolling back. This behavior allows the script to color the tape's text based on the latest price movements and change the locations of the table cells after realtime updates without reverting. See the `varip` section of the User Manual to learn more about using this keyword.
• Typically, when requesting higher-timeframe data with request.security() using barmerge.lookahead_on as the `lookahead` argument, the `expression` argument should use the history-referencing operator to offset the series, preventing lookahead bias on historical bars. However, the request.security() call in this script uses barmerge.lookahead_on without offsetting the `expression` because the script only displays results for the latest historical bar and all realtime bars, where there is no future information to leak into the past. Instead, using this call on those bars ensures each request fetches the most recent data available from each context.
• The request.security() instance in this script includes a `calc_bars_count` argument to specify that each request retrieves only a minimal number of bars from the end of each symbol's historical data feed. The script does not need to request all the historical data for each symbol because it only shows results on the last chart bar that do not depend on the entire time series. In this case, reducing the retrieved bars in each request helps minimize resource usage without impacting the calculated results.
Look first. Then leap.
v01 remindersTrading requires focus, discipline, and sometimes a reminder to stay on track.
Many of us know how to take trades and make money - but sometimes struggle to hold on to the gains. By knowing not only when to trade, but also when NOT to trade, we can begin to build better habits.
I built this indicator for my own needs, but I hope this indicator can help someone save money by reminding them when to step away, size down or stay on track.
Inspired by trading psychologists like Mark Douglas, David Paul and others, I decided to make an indicator that deals with the mental aspect of trading.
Dr. David Paul said that you can be 10-15 trades away from the trader you want to be. All it takes is 10-15 trades of doing only the right thing (erasing bad habits). After that time the resistance to execute the trades properly will improve even more.
Good trading should be boring and repetitive. If the trading is exciting and varied it is likely unprofitable (more akin to impulsive gambling).
Perhaps you know how to trade, yet keep trading impulsively sometimes, getting "the itch" to trade or gambling with your gains? Set some reminders and see if you can build better habits. Over time it could make a difference.
You can enable up to 10 different reminders with each instance of the indicator. You can select days of the week and time of day. The visibility is fully customizable to suit any colour theme you may want. They dont actually alert - its a silent visual reminder, which is less intrusive and stays on screen for as long as you want.
Remind yourself when CPI releases or bond auctions are about to hit.
Don't get caught off guard by FED speakers or FOMC announcements.
Manage your emotions by writing a motivational reminder.
Build better habits and stay disciplined with reminders not to gamble.
Remind yourself to stay away from the markets when there is low liquidity, and trade during your best hours.
Wait for the market to establish balance and let the text show when to either wait or when to start trading.
Some basic inspiration:
"FOMC - No trading!"
"CPI Data - Expect Volatility"
"Markets closed tomorrow - Plan ahead"
"Take it slow, it's a marathon, not a sprint." - Dakota
"Wait for cheap risk" - HOAG
"Don't diddle in the middle!" - Brian Watts
You can of course write anything you want. Maybe you would like to remind yourself of a specific algo in crude oil or gold, or have other motivational reminders that work for you. If you have any good suggestions put them in the comments for others to use.
You can also use the script to watermark or put a web link on your charts. The indicator is empty by default - the image is just an example of the different types of labels it can show.
Customize the reminders for specific days, times, and events. Position them anywhere on your chart to suit your workflow. Whether you're a day trader or a long-term investor, theres always things to improve. This lets you keep those reminders right on your charts. You can go into the object tree settings and drag the indicator to the top if you want it to hide the candlesticks, and size up the text to really make it cover the chart for when to really stay away, as in the "FOMC" example in the image. The sample image shows a couple of different labels - but the script has no texts by default. It is up to you what to write and what colours to use. Please share it with others that may benefit.
You can add the script more than once if you need more than 10 alerts. You can also use it on multiple panels in TradingView, and it will remember the reminders for each panel. You can use spaces when positioning text in the top and bottom left corners of the screen, where there is sometimes a logo or ticker name obscuring the text. If two reminders display in the same location it will default to show the higher number of the two. Use specific times to change the reminders to make sure they dont overlap if they have the same position and put them on multiple charts if needed.
This script is dedicated to Brian Watts, who started something in me when he kept repeating "Don't diddle in the middle!" and "Where is purple?". IYKYK. I would like to thank him for the inspiration to better myself.
As above, so below.
v01
Candlestick based on volume
This code is an indicator for drawing custom candle charts based on volume and analyzing price fluctuations and trends. A specific description is provided below:
Main functions and analysis details
Cumulative Volume Calculation
Accumulates the volume of all bars and calculates the cumulative volume. This gives an idea of the total volume of volume.
Counter Calculation
The value of the counter is determined by continuously dividing the accumulated volume by 2. This counter shows the change in volume.
Calculation of Counter Change and Duration
When the value of the counter changes, the duration of the change is calculated. This tells us how long the change in volume lasted.
Calculation of slope and angle
The slope is calculated from the amount of change in the counter and the period of time it took for the counter to change, and the angle is calculated from the slope. This allows you to visualize the trend of the volume change and the direction of the trend.
Setting Counter Color and Background Color
Set the color of the counter based on the period of change. Longer periods are displayed in red, and shorter periods in green. The background color also changes based on the angle, indicating the strength and direction of the trend.
Drawing Custom Candles
Draw custom candles based on volume changes. As the counter changes, a new candle is formed, highlighting the price movement.
Display of simple moving averages (SMA)
Calculates the average of prices over a selected period of time and displays that average. This smoothes out price trends and fluctuations and clearly shows the direction of the trend.
Comparison of the upper and lower lengths of candles
Calculates the upper and lower lengths of each candle (lower half and upper half) and changes the color of the SMA based on which is longer. This visualizes the effect of price fluctuations due to the shape of the candles.
Key Points of Use
Trend Analysis: Analyze the direction and strength of a trend using custom candles based on volume, background color, and tilt angle.
Change highlighting: Visually highlight important points with counter changes and flags.
Price Averaging: Use SMA to smooth price trends, reduce noise, and determine trend direction.
Unicorn ICT Signals [TradingFinder] Breaker Block + FVG Zones🔵 Introduction
The "ICT Unicorn Model" trading strategy in the "Inner Circle Trader" (ICT) style is one of the well-known strategies in the world of Forex and financial market trading.
The ICT methodology was developed by Michael Huddleston and is based on technical analysis and Price Action concepts.
This style focuses specifically on interpreting price movements and identifying optimal entry and exit points in the market.
In the Unicorn strategy, traders seek points where the probability of price reversal or trend continuation is high. This strategy is primarily based on recognizing and analyzing Price Action patterns and market structure.
By understanding"ICT Unicorn Model", traders can make more informed decisions about where to enter or exit trades, thereby increasing their chances of success in the market.
🟣 Understanding the Breaker Block
A Breaker Block is a specialized form of an Order Block that changes its role after a key market level is broken. Typically, an Order Block is an area on the chart where large institutional orders are likely to be placed, providing strong support or resistance.
However, when this area is breached, and the price moves in the opposite direction, it transforms into what is known as a Breaker Block. This shift indicates a reversal in market sentiment, turning the previous support into resistance or vice versa, thereby signaling a potential trend change to traders.
🟣 The Significance of the Fair Value Gap (FVG)
The Fair Value Gap (FVG) refers to an area on a price chart where the price rapidly moves through a level, leaving behind a gap. This gap represents an imbalance between supply and demand and is often seen as a potential area for price to return and fill the gap.
These zones are crucial for traders as they can indicate future price movements, providing opportunities to enter or exit trades.
🟣 Defining the ICT Unicorn Model
When an FVG overlaps with a Breaker Block, it forms a highly significant trading area known as a Unicorn. This overlap creates an ideal zone for traders to enter the market, as it combines two powerful technical signals.
The Unicorn Model is therefore considered an optimal strategy for identifying precise entry and exit points in the financial markets.
Demand ICT Unicorn Model :
Supply ICT Unicorn Model :
🔵 How to Use
🟣 Bullish ICT Unicorn
The Bullish ICT Unicorn model is applicable when the market is in an uptrend, and traders are seeking buying opportunities.
Follow these steps to identify Bullish ICT Unicorn :
Identify the Bullish Breaker Block : Locate an area where the price moved upward after breaking an Order Block. This area now acts as a Breaker Block.
Identify the Bullish FVG : Look for a Fair Value Gap near the Breaker Block.
Confirm the Unicorn : When the Bullish Breaker Block and Bullish FVG overlap, a Bullish Unicorn is confirmed. Traders can enter a buy position when the price returns to this zone.
🟣Bearish ICT Unicorn
The Bearish ICT Unicorn model is used when the market is in a downtrend, and traders are looking for selling opportunities.
To identify Bearish ICT Unicorn, follow these steps :
Identify the Bearish Breaker Block : Find an area where the price moved downward after breaking an Order Block. This area now acts as a Breaker Block.
Identify the Bearish FVG : Check if a Fair Value Gap has formed near the Breaker Block.
Confirm the Unicorn : When the Bearish Breaker Block and Bearish FVG overlap, a Bearish Unicorn is confirmed. Traders can enter a sell position when the price returns to this zone.
🔵 Setting
🟣 Global Setting
Pivot Period of Order Blocks Detector : Enter the desired pivot period to identify the Order Block.
Order Block Validity Period (Bar) : You can specify the maximum time the Order Block remains valid based on the number of candles from the origin.
Mitigation Level Breaker Block : Determining the basic level of a Breaker Block. When the price hits the basic level, the Breaker Block due to mitigation.
Mitigation Level FVG : Determining the basic level of a FVG. When the price hits the basic level, the FVG due to mitigation.
Mitigation Level Unicorn : Determining the basic level of a Unicorn Block. When the price hits the basic level, the Unicorn Block due to mitigation.
🟣 Unicorn Block Display
Show All Unicorn Block : If it is turned off, only the last Order Block will be displayed.
Demand Unicorn Block : Show or not show and specify color.
Supply Unicorn Block : Show or not show and specify color.
🟣 Breaker Block Display
Show All Breaker Block : If it is turned off, only the last Breaker Block will be displayed.
Demand Main Breaker Block : Show or not show and specify color.
Demand Sub (Propulsion & BoS Origin) Breaker Block : Show or not show and specify color.
Supply Main Breaker Block : Show or not show and specify color.
Supply Sub (Propulsion & BoS Origin) Breaker Block : Show or not show and specify color.
🟣 Fair Value Gap Display
Show Bullish FVG : Toggles the display of demand-related boxes.
Show Bearish FVG : Toggles the display of supply-related boxes.
🟣 Logic Settings
🟣 Order Block Refinement
Refine Order Blocks : Enable or disable the refinement feature. Mode selection.
🟣 FVG Filter
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🟣 Alert
Alert Name : The name of the alert you receive.
Alert ICT Unicorn Model Block Mitigation :
On / Off
Message Frequency :
This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone :
The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵Conclusion
The Unicorn Model in ICT, utilizing the concepts of Breaker Blocks and Fair Value Gaps, provides an effective tool for identifying entry and exit points in financial markets. By offering more precise signals, this model helps traders make better decisions and minimize trading risks.
Success in applying this model requires practice and a deep understanding of market structure, but it can significantly improve trading performance.
Trade Scoreboard [JD]A utility to manually track your trades. Also allows you to specify a RR and $ risk per trade if you trade with that kind of system. Double click to get to the settings to update as you make trades.
Can be used for back/forward testing and while live trading.
Modified and republished with permission from Knighted21
Average Down CalculatorAverage Down Calculator is an indicator for investors looking to manage their portfolio. It aids in calculating the average share price, providing insights into optimizing investment strategies. Averaging down is a strategy investors use when the price of a security they own goes down. Instead of selling at a loss, they buy more shares at the lower price to reduce the average cost per share.
There are situations where a stock's price moves contrary to your expectations. The market moves downward. Despite this, your faith in the stock persists. This indicator allowing you to strategically add more stocks to lower the average price. But You must remember, it’s not without risks, as it involves investing more money in a losing position.
This Indicator allowing you to quickly understand your new position and make informed decisions. It’s designed for easy use, regardless of your experience level with investing.
Steps to use it:
1.put buy fee from your securitas
2.next put the price of the emiten from your portofolio
3.and how many lot you have
4.next is the the taget of percentage you want it become.
5 the last you can choose, the price that you want to buy for average.
this calculator is designed to help you navigate your investment better, choose it wisely.Be aware of the risks of investing more in a declining asset and consider diversification to manage potential losses.
