ICT Setup 02 [TradingFinder] Breaker Blocks + Reversal Candles🔵 Introduction
The "Breaker Block" concept, widely utilized in ICT (Inner Circle Trader) technical analysis, is a crucial tool for identifying reversal points and significant market shifts. Originating from the "Order Block" concept, Breaker Blocks help traders pinpoint support and resistance levels. These blocks are essential for understanding market trends and recognizing optimal entry and exit points.
A Breaker Block is essentially a failed Order Block that changes its role when price action breaks through it. When an Order Block fails to hold as a support or resistance level, it reverses its function, becoming a Breaker Block.
There are two primary types : Bullish Breaker Blocks and Bearish Breaker Blocks. These Breaker Blocks align with the prevailing market trend and indicate potential entry points after a liquidity sweep or a shift in market structure.
Understanding and applying the Breaker Block strategy enables traders to capitalize on the behavior of institutional investors, enhancing their trading outcomes.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Setup 02 indicator designed to automate the identification of Bullish and Bearish Breaker Blocks. This tool enables traders to easily spot these blocks on a chart and utilize them for entering or exiting trades. Below is a breakdown of how to use this indicator in both bullish and bearish setups.
🟣 Bullish Breaker Block Setup
A Bullish Breaker Block setup is identified in an uptrend, where it serves as a potential entry point. This setup occurs when a Bearish Order Block fails and the price moves above the high of that Order Block. In this scenario, the previously bearish Order Block turns into a Bullish Breaker Block, which now acts as a support level for the price.
To trade a Bullish Breaker Block, wait for the price to retest this newly formed support level. Confirmation of the uptrend can be achieved by analyzing lower time frames for further market structure shifts or other bullish indicators.
A successful retest of the Bullish Breaker Block provides a high-probability entry point for a long trade, as it signals institutional support. Traders often place their stop-loss below the low of the Breaker Block zone to minimize risk.
🟣 Bearish Breaker Block Setup
A Bearish Breaker Block setup, conversely, is used in a downtrend to identify potential sell opportunities. This setup forms when a Bullish Order Block fails, and the price moves below the low of that Order Block.
Once this Order Block is broken, it reverses its role and becomes a Bearish Breaker Block, providing resistance to the price as it pushes downward. For a Bearish Breaker Block trade, wait for the price to retest this resistance level.
A confirmation of the downtrend, such as a market structure shift on a lower time frame or additional bearish signals, strengthens the setup. The Bearish Breaker Block retest provides an opportunity to enter a short position, with a stop-loss placed just above the high of the Breaker Block zone.
🔵 Settings
Pivot Period : This setting controls the look-back period used to identify pivot points that contribute to the detection of Order Blocks. A higher period captures longer-term pivots, while a lower period focuses on more recent price action. Adjusting this parameter allows traders to fine-tune the indicator to match their trading time frame.
Breaker Block Validity Period : This setting defines how long a Breaker Block remains valid based on the number of bars elapsed since its formation. Increasing the validity period keeps Breaker Blocks active for a longer duration, which can be useful for higher time frame analysis.
Mitigation Level BB : This option lets traders choose the level of the Order Block at which the price is expected to react. Options like "Proximal," "50% OB," and "Distal" adjust the zone where a reaction may occur, offering flexibility in setting up the entry and stop-loss levels.
Breaker Block Refinement : The refinement option refines the Breaker Block zone to display a more precise range for aggressive or defensive trading approaches. The "Aggressive" mode provides a tighter range for risk-tolerant traders, while the "Defensive" mode expands the zone for those with a more conservative approach.
🔵 Conclusion
The Breaker Block indicator provides traders with a sophisticated tool for identifying key reversal zones in the market. By leveraging Breaker Blocks, traders can gain insights into institutional order flow and predict critical support and resistance levels.
Using Breaker Blocks in conjunction with other ICT concepts, like Fair Value Gaps or liquidity sweeps, enhances the reliability of trading signals. This indicator empowers traders to make informed decisions, aligning their trades with institutional moves in the market.
As with any trading strategy, it is crucial to incorporate proper risk management, using stop-losses and position sizing to minimize potential losses. The Breaker Block strategy, when applied with discipline and thorough analysis, serves as a powerful addition to any trader’s toolkit.
فراكتال
Inside Bar with Swing PointsSwing Points with Inside Bar
This script combines swing point analysis with an inside bar pattern visualization, merging essential concepts to identify and visualize key price levels and potential trend reversals. This is especially useful for traders looking to understand price action through swing levels and reactions within inside bar boundaries, making it effective for short-term trend analysis and reversal zone identification.
Script Features:
Swing Point Analysis:
The script identifies swing points based on fractals with a configurable number of bars, allowing for a choice between three and five bars, helping traders fine-tune sensitivity to price movements.
Swing points are visualized as labels, highlighting potential reversal or continuation zones in the price chart.
Inside Bar Visualization:
Inside bars are defined as bars where both the high and low are contained within the previous bar. These often signal consolidation before a potential breakout.
The script displays boundaries of the mother bar (the initial bar encompassing inside bars) and colors candles accordingly, highlighting those within these boundaries.
This feature helps traders focus on price areas where a breakout or trend shift may occur.
Utility and Application:
The script enables traders to visualize inside bars and swing points, which is particularly useful for short-term traders focused on reversal or trend continuation strategies.
Combining swing point analysis with inside bar identification offers a unique approach, helping traders locate key consolidation zones that may precede significant price moves.
This provides not only strong support and resistance levels but also insights into probable breakout points.
How to Use the Script:
Set the number of bars for swing point analysis (3 or 5) to adjust fractal sensitivity.
Enable mother bar boundary visualization and color indication for inside bars to easily spot consolidation patterns.
Pay attention to areas with multiple swing points and inside bars, as these often signal potential reversal or breakout zones.
This script offers flexible tools for analyzing price movements through both swing analysis and consolidation zone identification, aiding decision-making under uncertainty and enhancing market structure understanding.
FibExtender [tradeviZion]FibExtender : A Guide to Identifying Resistance with Fibonacci Levels
Introduction
Fibonacci levels are essential tools in technical analysis, helping traders identify potential resistance and support zones in trending markets. FibExtender is designed to make this analysis accessible to traders at all levels, especially beginners, by automating the process of plotting Fibonacci extensions. With FibExtender, you can visualize potential resistance levels quickly, empowering you to make more informed trading decisions without manually identifying every pivot point. In this article, we’ll explore how FibExtender works, guide you step-by-step in using it, and share insights for both beginner and advanced users.
What is FibExtender ?
FibExtender is an advanced tool that automates Fibonacci extension plotting based on significant pivot points in price movements. Fibonacci extensions are percentages based on prior price swings, often used to forecast potential resistance zones where price might reverse or consolidate. By automatically marking these Fibonacci levels on your chart, FibExtender saves time and reduces the complexity of technical analysis, especially for users unfamiliar with calculating and plotting these levels manually.
FibExtender not only identifies Fibonacci levels but also provides a customizable framework where you can adjust anchor points, colors, and level visibility to suit your trading strategy. This customization allows traders to tailor the indicator to fit different market conditions and personal preferences.
Key Features of FibExtender
FibExtender offers several features to make Fibonacci level analysis easier and more effective. Here are some highlights:
Automated Fibonacci Level Identification : The script automatically detects recent swing lows and pivot points to anchor Fibonacci extensions, allowing you to view potential resistance levels with minimal effort.
Customizable Fibonacci Levels : Users can adjust the specific Fibonacci levels they want to display (e.g., 0.618, 1.0, 1.618), enabling a more focused analysis based on preferred ratios. Each level can be color-coded for visual clarity.
Dual Anchor Points : FibExtender allows you to choose between anchoring levels from either the last pivot low or a recent swing low, depending on your preference. This flexibility helps in aligning Fibonacci levels with key market structures.
Transparency and Visual Hierarchy : FibExtender automatically adjusts the transparency of levels based on their "sequence age," creating a subtle visual hierarchy. Older levels appear slightly faded, helping you focus on more recent, potentially impactful levels.
Connection Lines for Context : FibExtender draws connecting lines from recent lows to pivot highs, allowing users to visualize the price movements that generated each Fibonacci extension level.
Step-by-Step Guide for Beginners
Let’s walk through how to use the FibExtender script on a TradingView chart. This guide will ensure that you’re able to set it up and interpret the key information displayed by the indicator.
Step 1: Adding FibExtender to Your Chart
Open your TradingView chart and select the asset you wish to analyze.
Search for “FibExtender ” in the Indicators section.
Click to add the indicator to your chart, and it will automatically plot Fibonacci levels based on recent pivot points.
Step 2: Customizing Fibonacci Levels
Adjust Levels : Under the "Fibonacci Settings" tab, you can enable or disable specific levels, such as 0.618, 1.0, or 1.618. You can also change the color for each level to improve visibility.
Set Anchor Points : Choose between "Last Pivot Low" and "Recent Swing Low" as your Fibonacci anchor point. If you want a broader view, choose "Recent Swing Low"; if you prefer tighter levels, "Last Pivot Low" may be more suitable.
Fib Line Length : Modify the line length for Fibonacci levels to make them more visible on your chart.
Step 3: Spotting Visual Clusters (Manual Analysis)
Identify Potential Resistance Clusters : Look for areas on your chart where multiple Fibonacci levels appear close together. For example, if you see 1.0, 1.272, and 1.618 levels clustered within a small price range, this may indicate a stronger resistance zone.
Why Clusters Matter : Visual clusters often signify areas where traders expect heightened price reaction. When levels are close, it suggests that resistance may be reinforced by multiple significant ratios, making it harder for price to break through. Use these clusters to anticipate potential pullbacks or consolidation areas.
Step 4: Observing the Price Action Around Fibonacci Levels
As price approaches these identified levels, watch for any slowing momentum or reversal patterns, such as doji candles or bearish engulfing formations, that might confirm resistance.
Adjust Strategy Based on Resistance : If price hesitates or reverses at a clustered resistance zone, it may be a signal to secure profits or tighten stops on a long position.
Advanced Insights (for Intermediate to Advanced Users)
For users interested in the technical workings of FibExtender, this section provides insights into how the indicator functions on a code level.
Pivot Point and Swing Detection
FibExtender uses a pivot-high and pivot-low detection function to identify significant price points. The upFractal and dnFractal variables detect these levels based on recent highs and lows, creating the basis for Fibonacci extension calculations. Here’s an example of the code used for this detection:
// Fractal Calculations
upFractal = ta.pivothigh(n, n)
dnFractal = ta.pivotlow(n, n)
By setting the number of periods for n, users can adjust the sensitivity of the script to recent price swings.
Fibonacci Level Calculation
The following function calculates the Fibonacci levels based on the selected pivot points and applies each level’s specific ratio (e.g., 0.618, 1.618) to project extensions above the recent price swing.
calculateFibExtensions(float startPrice, float highPrice, float retracePrice) =>
fibRange = highPrice - startPrice
var float levels = array.new_float(0)
array.clear(levels)
if array.size(fibLevels) > 0
for i = 0 to array.size(fibLevels) - 1
level = retracePrice + (fibRange * array.get(fibLevels, i))
array.push(levels, level)
levels
This function iterates over each level enabled by the user, calculating extensions by multiplying the price range by the corresponding Fibonacci ratio.
Example Use Case: Identifying Resistance in Microsoft (MSFT)
To better understand how FibExtender highlights resistance, let’s look at Microsoft’s stock chart (MSFT), as shown in the image. The chart displays several Fibonacci levels extending upward from a recent pivot low around $408.17. Here’s how you can interpret the chart:
Clustered Resistance Levels : In the chart, note the grouping of several Fibonacci levels in the range of $450–$470. These levels, particularly when tightly packed, suggest a zone where Microsoft may encounter stronger resistance, as multiple Fibonacci levels signal potential barriers.
Applying Trading Strategies : As price approaches this clustered resistance, traders can watch for weakening momentum. If price begins to stall, it may be wise to lock in profits on long positions or set tighter stop-loss orders.
Observing Momentum Reversals : Look for specific candlestick patterns as price nears these levels, such as bearish engulfing candles or doji patterns. Such patterns can confirm resistance, helping you make informed decisions on whether to exit or manage your position.
Conclusion: Harnessing Fibonacci Extensions with FibExtender
FibExtender is a powerful tool for identifying potential resistance levels without the need for manual Fibonacci calculations. It automates the detection of key swing points and projects Fibonacci extensions, offering traders a straightforward approach to spotting potential resistance zones. For beginners, FibExtender provides a user-friendly gateway to technical analysis, helping you visualize levels where price may react.
For those with a bit more experience, the indicator offers insight into pivot points and Fibonacci calculations, enabling you to fine-tune the analysis for different market conditions. By carefully observing price reactions around clustered levels, users can identify areas of stronger resistance and refine their trade management strategies accordingly.
FibExtender is not just a tool but a framework for disciplined analysis. Using Fibonacci levels for guidance can support your trading decisions, helping you recognize areas where price might struggle or reverse. Integrating FibExtender into your trading strategy can simplify the complexity of Fibonacci extensions and enhance your understanding of resistance dynamics.
Note: Always practice proper risk management and thoroughly test the indicator to ensure it aligns with your trading strategy. Past performance is not indicative of future results.
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[Defaust] Fractals Fractals Indicator
Overview
The Fractals Indicator is a technical analysis tool designed to help traders identify potential reversal points in the market by detecting fractal patterns. This indicator is a fork of the original fractals indicator, with adjustments made to the plotting for enhanced visual clarity and usability.
What Are Fractals?
In trading, a fractal is a pattern consisting of five consecutive bars (candlesticks) that meet specific conditions:
Up Fractal (Potential Sell Signal): Occurs when a high point is surrounded by two lower highs on each side.
Down Fractal (Potential Buy Signal): Occurs when a low point is surrounded by two higher lows on each side.
Fractals help traders identify potential tops and bottoms in the market, signaling possible entry or exit points.
Features of the Indicator
Customizable Periods (n): Allows you to define the number of periods to consider when detecting fractals, offering flexibility to adapt to different trading strategies and timeframes.
Enhanced Plotting Adjustments: This fork introduces adjustments to the plotting of fractal signals for better visual representation on the chart.
Visual Signals: Plots up and down triangles on the chart to signify down fractals (potential bullish signals) and up fractals (potential bearish signals), respectively.
Overlay on Chart: The fractal signals are overlaid directly on the price chart for immediate visualization.
Adjustable Precision: You can set the precision of the plotted values according to your needs.
Pine Script Code Explanation
Below is the Pine Script code for the Fractals Indicator:
//@version=5 indicator(" Fractals", shorttitle=" Fractals", format=format.price, precision=0, overlay=true)
// User input for the number of periods to consider for fractal detection n = input.int(title="Periods", defval=2, minval=2)
// Initialize flags for up fractal detection bool upflagDownFrontier = true bool upflagUpFrontier0 = true bool upflagUpFrontier1 = true bool upflagUpFrontier2 = true bool upflagUpFrontier3 = true bool upflagUpFrontier4 = true
// Loop through previous and future bars to check conditions for up fractals for i = 1 to n // Check if the highs of previous bars are less than the current bar's high upflagDownFrontier := upflagDownFrontier and (high < high ) // Check various conditions for future bars upflagUpFrontier0 := upflagUpFrontier0 and (high < high ) upflagUpFrontier1 := upflagUpFrontier1 and (high <= high and high < high ) upflagUpFrontier2 := upflagUpFrontier2 and (high <= high and high <= high and high < high ) upflagUpFrontier3 := upflagUpFrontier3 and (high <= high and high <= high and high <= high and high < high ) upflagUpFrontier4 := upflagUpFrontier4 and (high <= high and high <= high and high <= high and high <= high and high < high )
// Combine the flags to determine if an up fractal exists flagUpFrontier = upflagUpFrontier0 or upflagUpFrontier1 or upflagUpFrontier2 or upflagUpFrontier3 or upflagUpFrontier4 upFractal = (upflagDownFrontier and flagUpFrontier)
// Initialize flags for down fractal detection bool downflagDownFrontier = true bool downflagUpFrontier0 = true bool downflagUpFrontier1 = true bool downflagUpFrontier2 = true bool downflagUpFrontier3 = true bool downflagUpFrontier4 = true
// Loop through previous and future bars to check conditions for down fractals for i = 1 to n // Check if the lows of previous bars are greater than the current bar's low downflagDownFrontier := downflagDownFrontier and (low > low ) // Check various conditions for future bars downflagUpFrontier0 := downflagUpFrontier0 and (low > low ) downflagUpFrontier1 := downflagUpFrontier1 and (low >= low and low > low ) downflagUpFrontier2 := downflagUpFrontier2 and (low >= low and low >= low and low > low ) downflagUpFrontier3 := downflagUpFrontier3 and (low >= low and low >= low and low >= low and low > low ) downflagUpFrontier4 := downflagUpFrontier4 and (low >= low and low >= low and low >= low and low >= low and low > low )
// Combine the flags to determine if a down fractal exists flagDownFrontier = downflagUpFrontier0 or downflagUpFrontier1 or downflagUpFrontier2 or downflagUpFrontier3 or downflagUpFrontier4 downFractal = (downflagDownFrontier and flagDownFrontier)
// Plot the fractal symbols on the chart with adjusted plotting plotshape(downFractal, style=shape.triangleup, location=location.belowbar, offset=-n, color=color.gray, size=size.auto) plotshape(upFractal, style=shape.triangledown, location=location.abovebar, offset=-n, color=color.gray, size=size.auto)
Explanation:
Input Parameter (n): Sets the number of periods for fractal detection. The default value is 2, and it must be at least 2 to ensure valid fractal patterns.
Flag Initialization: Boolean variables are used to store intermediate conditions during fractal detection.
Loops: Iterate through the specified number of periods to evaluate the conditions for fractal formation.
Conditions:
Up Fractals: Checks if the current high is greater than previous highs and if future highs are lower or equal to the current high.
Down Fractals: Checks if the current low is lower than previous lows and if future lows are higher or equal to the current low.
Flag Combination: Logical and and or operations are used to combine the flags and determine if a fractal exists.
Adjusted Plotting:
The plotting of fractal symbols has been adjusted for better alignment and visual clarity.
The offset parameter is set to -n to align the plotted symbols with the correct bars.
The color and size have been fine-tuned for better visibility.
How to Use the Indicator
Adding the Indicator to Your Chart
Open TradingView:
Go to TradingView.
Access the Chart:
Click on "Chart" to open the main charting interface.
Add the Indicator:
Click on the "Indicators" button at the top.
Search for " Fractals".
Select the indicator from the list to add it to your chart.
Configuring the Indicator
Periods (n):
Default value is 2.
Adjust this parameter based on your preferred timeframe and sensitivity.
A higher value of n considers more bars for fractal detection, potentially reducing the number of signals but increasing their significance.
Interpreting the Signals
– Up Fractal (Downward Triangle): Indicates a potential price reversal to the downside. May be used as a signal to consider exiting long positions or tightening stop-loss orders.
– Down Fractal (Upward Triangle): Indicates a potential price reversal to the upside. May be used as a signal to consider entering long positions or setting stop-loss orders for short positions.
Trading Strategy Suggestions
Up Fractal Detection:
The high of the current bar (n) is higher than the highs of the previous two bars (n - 1, n - 2).
The highs of the next bars meet certain conditions to confirm the fractal pattern.
An up fractal symbol (downward triangle) is plotted above the bar at position n - n (due to the offset).
Down Fractal Detection:
The low of the current bar (n) is lower than the lows of the previous two bars (n - 1, n - 2).
The lows of the next bars meet certain conditions to confirm the fractal pattern.
A down fractal symbol (upward triangle) is plotted below the bar at position n - n.
Benefits of Using the Fractals Indicator
Early Signals: Helps in identifying potential reversal points in price movements.
Customizable Sensitivity: Adjusting the n parameter allows you to fine-tune the indicator based on different market conditions.
Enhanced Visuals: Adjustments to plotting improve the clarity and readability of fractal signals on the chart.
Limitations and Considerations
Lagging Indicator: Fractals require future bars to confirm the pattern, which may introduce a delay in the signals.
False Signals: In volatile or ranging markets, fractals may produce false signals. It's advisable to use them in conjunction with other analysis tools.
Not a Standalone Tool: Fractals should be part of a broader trading strategy that includes other indicators and fundamental analysis.
Best Practices for Using This Indicator
Combine with Other Indicators: Use in combination with trend indicators, oscillators, or volume analysis to confirm signals.
Backtesting: Before applying the indicator in live trading, backtest it on historical data to understand its performance.
Adjust Periods Accordingly: Experiment with different values of n to find the optimal setting for the specific asset and timeframe you are trading.
Disclaimer
The Fractals Indicator is intended for educational and informational purposes only. Trading involves significant risk, and you should be aware of the risks involved before proceeding. Past performance is not indicative of future results. Always conduct your own analysis and consult with a professional financial advisor before making any investment decisions.
Credits
This indicator is a fork of the original fractals indicator, with adjustments made to the plotting for improved visual representation. It is based on standard fractal patterns commonly used in technical analysis and has been developed to provide traders with an effective tool for detecting potential reversal points in the market.
Judas Swing ICT 01 [TradingFinder] New York Midnight Opening M15🔵 Introduction
The Judas Swing (ICT Judas Swing) is a trading strategy developed by Michael Huddleston, also known as Inner Circle Trader (ICT). This strategy allows traders to identify fake market moves designed by smart money to deceive retail traders.
By concentrating on market structure, price action patterns, and liquidity flows, traders can align their trades with institutional movements and avoid common pitfalls. It is particularly useful in FOREX and stock markets, helping traders identify optimal entry and exit points while minimizing risks from false breakouts.
In today's volatile markets, understanding how smart money manipulates price action across sessions such as Asia, London, and New York is essential for success. The ICT Judas Swing strategy helps traders avoid common pitfalls by focusing on key movements during the opening time and range of each session, identifying breakouts and false breakouts.
By utilizing various time frames and improving risk management, this strategy enables traders to make more informed decisions and take advantage of significant market movements.
In the Judas Swing strategy, for a bullish setup, the price first touches the high of the 15-minute range of New York midnight and then the low. After that, the price returns upward, breaks the high, and if there’s a candlestick confirmation during the pullback, a buy signal is generated.
bearish setup, the price first touches the low of the range, then the high. With the price returning downward and breaking the low, if there’s a candlestick confirmation during the pullback to the low, a sell signal is generated.
🔵 How to Use
To effectively implement the Judas Swing strategy (ICT Judas Swing) in trading, traders must first identify the price range of the 15-minute window following New York midnight. This range, consisting of highs and lows, sets the stage for the upcoming movements in the London and New York sessions.
🟣 Bullish Setup
For a bullish setup, the price first moves to touch the high of the range, then the low, before returning upward to break the high. Following this, a pullback occurs, and if a valid candlestick confirmation (such as a reversal pattern) is observed, a buy signal is generated. This confirmation could indicate the presence of smart money supporting the bullish movement.
🟣 Bearish Setup
For a bearish setup, the process is the reverse. The price first touches the low of the range, then the high. Afterward, the price moves downward again and breaks the low. A pullback follows to the broken low, and if a bearish candlestick confirmation is seen, a sell signal is generated. This confirmation signals the continuation of the downward price movement.
Using the Judas Swing strategy enables traders to avoid fake breakouts and focus on strong market confirmations. The strategy is versatile, applying to FOREX, stocks, and other financial instruments, offering optimal trading opportunities through market structure analysis and time frame synchronization.
To execute this strategy successfully, traders must combine it with effective risk management techniques such as setting appropriate stop losses and employing optimal risk-to-reward ratios. While the Judas Swing is a powerful tool for predicting price movements, traders should remember that no strategy is entirely risk-free. Proper capital management remains a critical element of long-term success.
By mastering the ICT Judas Swing strategy, traders can better identify entry and exit points and avoid common traps from fake market movements, ultimately improving their trading performance.
🔵 Setting
Opening Range : High and Low identification time range.
Extend : The time span of the dashed line.
Permit : Signal emission time range.
🔵 Conclusion
The Judas Swing strategy (ICT Judas Swing) is a powerful tool in technical analysis that helps traders identify fake moves and align their trades with institutional actions, reducing risk and enhancing their ability to capitalize on market opportunities.
By leveraging key levels such as range highs and lows, fake breakouts, and candlestick confirmations, traders can enter trades with more precision. This strategy is applicable in forex, stocks, and other financial markets and, with proper risk management, can lead to consistent trading success.
Consecutive CandlesTrading as Easy as One, Two, and Three
Unlock the power of simplicity in trading with this innovative script inspired by KepalaBesi. Designed for traders of all levels, this script provides a user-friendly approach to market analysis, enabling you to make informed trading decisions effortlessly.
Key Features:
Simplified Signals: Receive clear buy and sell signals based on robust technical indicators. The script streamlines your trading process, allowing you to focus on execution rather than analysis.
Customizable Settings: Tailor the script to fit your trading style. Adjust parameters to suit your risk tolerance and market preferences, ensuring a personalized trading experience.
Visual Clarity: Benefit from intuitive visual cues on your chart, making it easy to identify optimal entry and exit points. The clean interface helps you make quick decisions without confusion.
Whether you’re a seasoned trader or just starting, "Trading as Easy as One, Two, and Three" simplifies your trading journey, turning complex strategies into straightforward actions. Embrace a more efficient way to trade and elevate your performance in the markets!
Get Started Today!
Join the community of traders who have discovered the ease of trading with KepalaBesi's inspired script. Elevate your trading experience and achieve your financial goals with confidence!
Support and Resistance HeatmapThe "Support and Resistance Heatmap" indicator is designed to identify key support and resistance levels in the price action by using pivots and ATR (Average True Range) to define the sensitivity of zone detection. The zones are plotted as horizontal lines on the chart, representing areas where the price has shown significant interaction. The indicator features a customizable heatmap to visualize the intensity of these zones, making it a powerful tool for technical analysis.
Features:
Dynamic Support and Resistance Zones:
Identifies potential support and resistance areas based on price pivots.
Zones are defined by ATR-based thresholds, making them adaptive to market volatility.
Customization Options:
Heatmap Visualization: Toggle the heatmap on/off to view the strength of each zone.
Sensitivity Control: Modify the zone sensitivity with the ATR Multiplier to increase or decrease zone detection precision.
Confirmations: Set how many touches a level needs before it is confirmed as a zone.
Extended Zone Visualization:
Option to extend the zones for better long-term visibility.
Ability to limit the number of zones displayed to avoid clutter on the chart.
Color-Coded Zones:
Color-coded zones help differentiate between bullish (support) and bearish (resistance) levels, providing visual clarity for traders.
Heatmap Integration:
Gradient-based color changes on levels show the intensity of touches, helping traders understand which zones are more reliable.
Inputs and Settings:
1. Settings Group:
Length:
Determines the number of bars used for the pivot lookback. This directly affects how frequently new zones are formed.
Sensitivity:
Controls the sensitivity of the zone calculation using ATR (Average True Range). A higher value will result in fewer, larger zones, while a lower value increases the number of detected zones.
Confirmations:
Sets the number of price touches needed before a level is confirmed as a support/resistance zone. Lower values will result in more zones.
2. Visual Group:
Extend Zones:
Option to extend the support and resistance lines across the chart for better visibility over time.
Max Zones to Display (maxZonesToShow):
Limits the maximum number of zones shown on the chart to avoid clutter.
3. Heatmap Group:
Show Heatmap:
Toggle the heatmap display on/off. When enabled, the script visualizes the strength of the zones using color intensity.
Core Logic:
Pivot Calculation:
The script identifies support and resistance zones by using the pivotHigh and pivotLow functions. These pivots are calculated using a lookback period, which defines the number of candles to the left and right of the pivot point.
ATR-Based Threshold:
ATR (Average True Range) is used to create dynamic zones based on volatility. The ATR acts as a buffer around the identified pivot points, creating zones that are more flexible and adaptable to market conditions.
Merging Zones:
If two zones are close to each other (within a certain threshold), they are merged into a single zone. This reduces overlapping zones and gives a cleaner visual representation of significant price levels.
Confirmation Mechanism:
Each time the price touches a zone, the confirmation counter for that zone increases. The more confirmations a zone has, the more reliable it is. Zones are only displayed if they meet the required number of confirmations as specified by the user.
Color Gradient:
Zones are color-coded based on the number of confirmations. A gradient is used to visually represent the strength of each zone, with stronger zones being more vividly colored.
Heatmap Visualization:
When the heatmap is enabled, the color intensity of the zones is adjusted based on the proximity of the price to the zone and the number of touches the zone has received. This helps traders quickly identify which zones are more critical.
How to Use:
Identifying Support and Resistance Zones:
After adding the indicator to your chart, you will see horizontal lines representing key support (bullish) and resistance (bearish) levels. These zones are dynamically updated based on price action and pivots.
Adjusting Zone Sensitivity:
Use the "ATR Multiplier" to fine-tune how sensitive the indicator is to price fluctuations. A higher multiplier will reduce the number of zones, focusing on more significant levels.
Using Confirmations:
The more times a price interacts with a zone, the stronger that zone becomes. Use the "Confirmations" input to filter out weaker zones. This ensures that only zones with enough interaction (touches) are plotted.
Activating the Heatmap:
Enabling the heatmap will provide a color-coded visual representation of the strength of the zones. Zones with more price interactions will appear more vividly, helping you focus on the most significant areas.
Best Practices:
Combine with Other Indicators:
This support and resistance indicator works well when combined with other technical analysis tools, such as oscillators (e.g., RSI, MACD) or moving averages, for better trade confirmations.
Adjust Sensitivity Based on Market Conditions:
In volatile markets, you may want to increase the ATR multiplier to focus on more significant support and resistance zones. In calmer markets, decreasing the multiplier can help you spot smaller, but relevant, levels.
Use in Different Time Frames:
This indicator can be used effectively across different time frames, from intraday charts (e.g., 1-minute or 5-minute charts) to longer-term analysis on daily or weekly charts.
Look for Confluences:
Zones that overlap with other indicators, such as Fibonacci retracements or key moving averages, tend to be more reliable. Use the zones in conjunction with other forms of analysis to increase your confidence in trade setups.
Limitations and Considerations:
False Breakouts:
In highly volatile markets, there may be false breakouts where the price briefly moves through a zone without a sustained trend. Consider combining this indicator with momentum-based tools to avoid false signals.
Sensitivity to ATR Settings:
The ATR multiplier is a key component of this indicator. Adjusting it too high or too low may result in too few or too many zones, respectively. It is important to fine-tune this setting based on your specific trading style and market conditions.
Precision Cloud by Dr ABIRAM SIVPRASAD
Precision Cloud by Dr. Abhiram Sivprasad"
The " Precision Cloud" script, created by Dr. Abhiram Sivprasad, is a multi-purpose technical analysis tool designed for Forex, Bitcoin, Commodities, Stocks, and Options trading. It focuses on identifying key levels of support and resistance, combined with moving averages (EMAs) and central pivot ranges (CPR), to help traders make informed trading decisions. The script also provides a visual "light system" to highlight potential long or short positions, aiding traders in entering trades with a clear strategy.
Key Features of the Script:
Central Pivot Range (CPR):
The CPR is calculated as the average of the high, low, and close of the price, while the top and bottom pivots are derived from it. These act as dynamic support and resistance zones.
The script can plot daily CPR, support, and resistance levels (S1/R1, S2/R2, S3/R3) as well as optional weekly and monthly pivot points.
The CPR helps identify whether the price is in a bullish, bearish, or neutral zone.
Support and Resistance Levels:
Three daily support (S1, S2, S3) and resistance (R1, R2, R3) levels are plotted based on the CPR.
These levels act as potential reversal or breakout points, allowing traders to make decisions around key price points.
EMA (Exponential Moving Averages):
The script includes two customizable EMAs (default periods of 9 and 21). You can choose the source for these EMAs (open, high, low, or close).
The crossovers between EMA1 and EMA2 help identify potential trend reversals or momentum shifts.
Lagging Span:
The Lagging Span is plotted with a customizable displacement (default 26), which helps identify overall trend direction by comparing past price with the current price.
Light System:
A color-coded table provides a visual representation of market conditions:
Green indicates bullish signals (e.g., price above CPR, EMAs aligning positively).
Red indicates bearish signals (e.g., price below CPR, EMAs aligning negatively).
Yellow indicates neutral conditions, where there is no clear trend direction.
The system includes lights for CPR, EMA, Long Position, and Short Position, helping traders quickly assess whether the market is in a buying or selling opportunity.
Trading Strategies Using the Script
1. Forex Trading:
Trend-Following with EMAs: Use the EMA crossovers to capture trending markets in Forex. A green light for the EMA combined with a price above the daily or weekly pivot levels suggests a buying opportunity. Conversely, if the EMA light turns red and price falls below the CPR levels, look for shorting opportunities.
Reversal Strategy: Watch for price action near the daily S1/R1 levels. If price holds above S1 and the EMA is green, this could signal a reversal from support. The same applies to resistance levels.
2. Bitcoin Trading:
Momentum Breakouts: Bitcoin is known for its sharp moves. The script helps to identify breakouts from the CPR range. If the price breaks above the TC (Top Central Pivot) with bullish EMA alignment (green light), it could signal a strong uptrend.
Lagging Span Confirmation: Use the Lagging Span to confirm the trend direction. For Bitcoin's volatility, when the lagging span shows consistent alignment with the price and CPR, it often indicates continuation of the trend.
3. Commodities Trading:
Support/Resistance Bounce: Commodities such as gold and oil often react well to pivot levels. Look for price bouncing off S1 or R1 for potential entry points. A green CPR light along with price above the pivot range supports a bullish bias.
EMA Pullback Strategy: If price moves in a strong trend and pulls back to one of the EMAs, a green EMA light suggests re-entry on a pullback. If the EMA light is red and price breaks below the BC (Bottom Central Pivot), short positions could be considered.
4. Stocks Trading:
Long Position Strategy: For stocks, use the combination of the long position light turning green (price above TC and EMA alignment) as a signal to buy. This could be especially useful for riding bullish trends in growth stocks or during earnings seasons when volatility is high.
Short Position Strategy: If the short position light turns green, indicating price below BC and EMAs turning bearish, this could be an ideal setup for shorting overvalued stocks or during market corrections.
5. Options Trading:
Directional Bias for Options: The light system is particularly helpful for options traders. A green long position light provides a clear signal to buy call options, while a green short position light supports buying puts.
Pivot Breakout Strategy: Buy options (calls or puts) when the price breaks above resistance or below support, with confirmation from the CPR and EMA lights. This helps capture the sharp moves required for profitable options trades.
Conclusion
The S&R Precision Cloud script is a versatile tool for traders across markets, including Forex, Bitcoin, Commodities, Stocks, and Options. It combines critical technical elements like pivot ranges, support and resistance levels, EMAs, and the Lagging Span to provide a clear picture of market conditions. The intuitive light system helps traders quickly assess whether to take a long or short position, making it an excellent tool for both new and experienced traders.
The S&R Precision Cloud by Dr. Abhiram Sivprasad script is a technical analysis tool designed to assist traders in making informed decisions. However, it should not be interpreted as financial or investment advice. The signals generated by the script are based on historical price data and technical indicators, which are inherently subject to market fluctuations and do not guarantee future performance.
Trading in Forex, Bitcoin, Commodities, Stocks, and Options carries a high level of risk and may not be suitable for all investors. You should be aware of the risks involved and be willing to accept them before engaging in such activities. Always conduct your own research and consult with a licensed financial advisor or professional before making any trading decisions.
The creators of this script are not responsible for any financial losses that may occur from its use. Past performance is not indicative of future results, and the use of this script is at your own risk.
Volume Adjusted CandlesTraditional candlestick charts are invaluable for visualizing price movements over time. However, they often lack an explicit representation of trading volume, a key factor that can significantly influence price action. Our Volume Adjusted Candles Indicator fills this gap by incorporating volume directly into the candlesticks, allowing for a more comprehensive analysis.
How Candles are Calculated
Each candlestick in this indicator is adjusted based on the volume of trades that occurred during its timeframe. The process involves segmenting the price range of the trading session into equal parts, known as 'bins'. Each bin represents a segment of the price range, and the volume of trades within each bin influences the final shape and position of the candlestick.
The Formula: The volume adjusted position of each part of the candle (high, low, and close) is calculated using a weighted average formula where each price point is weighted by the volume of trades at that price. This results in a volume-weighted price for each segment of the candle, making it easy to see where the most trading activity occurred and how it impacted price movements.
Fractal Proximity MA Aligment Scalping StrategyFractal Analysis
Fractals in trading help identify potential reversal points by marking significant price changes. Our strategy calculates a "fractal value" by comparing the current price to recent high and low fractal points. This is done by evaluating the sum of distances from the current closing price to the recent highs and lows. A positive fractal value suggests proximity to recent lows, hinting at upward momentum. Conversely, a negative value indicates closeness to recent highs, signaling potential downward movement.
Moving Averages for Confirmation
We use a series of 20 moving averages ranging from 5 to 100 to confirm trend directions indicated by fractal analysis. An entry signal is considered bullish when shorter-term moving averages are all above a long-term moving average, aligning with a positive fractal value.
Exit Strategy
The strategy employs dynamic stop-loss levels set at various moving averages, allowing for partial exits when the price crosses below specific thresholds. This helps manage the trade by locking in profits gradually. A full exit might be triggered by strong reversal signals suggested by both fractal values and moving average trends.
This open-source strategy is available for the community to test, adapt, and utilize. Your feedback and modifications are welcome as we refine the approach based on collective user experiences.
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.
Standardized PSAR Oscillator [AlgoAlpha]Enhance your trading experience with the "Standardized PSAR Oscillator" 🪝, a powerful tool that combines the Parabolic Stop and Reverse (PSAR) with standardization techniques to offer more nuanced insights into market trends and potential reversals.
🔑 Key Features:
- 🛠 Customizable PSAR Settings: Adjust the starting point, increment, and maximum values for the PSAR to tailor the indicator to your strategy.
- 📏 Standardization: Smooth out volatility by standardizing the PSAR values using a customizable EMA, making reversals easier to identify.
- 🎨 Dynamic Color-Coding: The oscillator changes colors based on market conditions, helping you quickly spot bullish and bearish trends.
- 🔄 Divergence Detection: Automatic detection of bullish and bearish divergences with customizable sensitivity and confirmation settings.
- 🔔 Alerts: Set up alerts for key events like zero-line crossovers and trend weakening, ensuring you never miss a critical market move.
🚀 How to Use:
✨ Add the Indicator: Add the indicator to favorites by pressing the star icon, adjust the settings to suite your needs.
👀 Monitor Signals: Watch for the automatic plotting of divergences and reversal signals to identify potential market entries and exits.
🔔 Set Alerts: Configure alerts to get notified of key changes without constantly monitoring the charts.
🔍 How It Works:
The Standardized PSAR Oscillator is an advanced trading tool that refines the traditional PSAR (Parabolic Stop and Reverse) indicator by incorporating several key enhancements to improve trend analysis and signal accuracy. The script begins by calculating the PSAR, a widely used indicator known for its effectiveness in identifying trend reversals. To make the PSAR more adaptive and responsive to market conditions, it is standardized using an Exponential Moving Average (EMA) of the high-low range over a user-defined period. This standardization helps to normalize the PSAR values, making them more comparable across different market conditions.
To further enhance signal clarity, the standardized PSAR is then smoothed using a Weighted Moving Average (WMA). This combination of EMA and WMA creates an oscillator that not only captures trend direction but also smooths out market noise, providing a cleaner signal. The oscillator's values are color-coded to visually indicate its position relative to the zero line, with additional emphasis on whether the WMA is rising or falling—this helps traders quickly interpret the trend’s strength and direction.
The oscillator also includes built-in divergence detection by comparing pivot points in price action with those in the oscillator. This feature helps identify potential discrepancies between the price and the oscillator, signaling possible trend reversals. Alerts can be configured for when the oscillator crosses the zero line or when a trend shows signs of weakening, ensuring that traders receive timely notifications to act on emerging opportunities. These combined elements make the Standardized PSAR Oscillator a robust tool for enhancing your trading strategy with more reliable and actionable signals
VRS (Vegas Reversal Strategy)It is based on the reversal of the price after an accentuated volatility of the previous day. It is tested only on BTC, TF Day, and has an activation value equal to a spike of minimum 2.4% amplitude, a value that I have left in the settings free to be modified if it is found valid for other assets.
In the settings you can change how many of the latest longs or shorts I want to view in the past, colors and various aesthetics.
When the system detects a spike at the end of the day from 2.4% onwards it will signal the direction of Reversal, generating the 3 TP, dotted lines.
Entry into the market must be done at the close of the candle day, unfortunately at night time if you want to enter on the tick.
Stop above/below the spike that generated the condition.
If the Day2 candle closes FULL inside the spike, immediate and early closing of the operation.
There cannot be two consecutive Day events: if you are Long or Short and have taken a stop on the next candle, even if the latter generates another entry, this must not be activated.
TP 1 and 2 are both mandatory at 33% of the position, TP3, based on the current movement, can be considered to be left to run to the bitter end or in any case to structuring confirmations of a slowdown in the price.
Upon reaching TP1 it is mandatory to move the STOP to even.
In the event of the presence of extremely strong directional movements, for example Long direction, an opposite activation, Short, must be done but with reduced capital, on the contrary an activation in the same direction as the trend movement can be done with a surcharge. Always pay attention to Money Management and Risk Management.
Always manage Risk and Money Management in an adequate, technical and sustainable manner in relation to your capital. A fair exposure per transaction is between 1% and 2% of the capital.
VS (Vegas Fractal System)VS is a trading system based on the identification of fractal reaction zones within a larger, carefully identified movement. It is internally made up of 4 sub-systems.
The indicator is composed of the following parameters: Max and Min, are the largest area identified and will act as the STOPLOSS point. L1, is the price reaction level. Entry, is where to place a pending market entry order. TP, is the place to place a 100% sell order.
A valid area must be identified through the Fibonacci levels that join Highs and Lows or vice versa depending on the bullish or bearish movement. To be usable, this movement must not have a sub-movement that has already hit the 0.618 level.
Always manage Risk and Money Management in an adequate, technical and sustainable manner in relation to your capital. A fair exposure per transaction is between 1% and 2% of the capital.
False Breakouts [TradingFinder] Fake Breakouts Failure🔵 Introduction
Technical indicators are essential tools for analysts and traders in financial markets, helping them predict price movements and make better trading decisions. One of the key concepts in technical analysis that should be carefully considered is the "False Breakout."
This phenomenon occurs when a price temporarily breaks through a significant support or resistance level but fails to hold and quickly returns to its previous range. Understanding this concept and applying it in trading can reduce risks and increase profitability.
🟣 What is a False Breakout?
A Fake Breakout, as the name suggests, refers to a breakout that appears to occur but fails to sustain, leading the price to quickly revert back to its previous range. This situation often happens when inexperienced or non-professional traders, under psychological pressure and eager to enter the market quickly, initiate trades.
This creates opportunities for professional traders to take advantage of these short-term fluctuations and execute successful trades.
🟣 The Importance of Recognizing False Breakouts
Recognizing False Breakouts is crucial for any trader aiming for success in financial markets. False Breakouts typically occur when the market approaches a critical support or resistance level.
In these situations, many traders are waiting to see if the price will break through this level. However, when the price quickly returns to its previous range, it indicates weakness in the movement and the inability to sustain the breakout.
🟣 How to identify False Breakouts?
To identify Fake Breakouts, it is important to carefully analyze price charts and look for signs of a quick price reversal after breaking a key level.
Here are some chart patterns that may help you identify a False Breakout :
1. Pin Bar Pattern : The Pin Bar is a candlestick pattern that indicates a price reversal. This pattern usually appears near support and resistance levels, showing that the price attempted to break through a key level but failed and reversed.
2. Fakey Pattern : This pattern, which consists of several candlesticks, indicates a False Breakout and a quick price return to the previous range. It usually appears near key levels and can signal a trend reversal.
3. Using Multiple Timeframes : One way to identify False Breakouts is by using charts of different timeframes. Sometimes, a breakout on a one-hour chart may be a False Breakout on a daily chart. Analyzing charts across multiple timeframes can help you accurately identify this phenomenon.
🔵 How to Use
Once you identify a False Breakout, you can use it as a trading signal. For this, it is best to look for trading opportunities in the opposite direction of the False Breakout. In other words, if a False Breakout occurs at a resistance level, you might consider selling opportunities, and if it happens at a support level, you might look for buying opportunities.
Here are some key points for trading based on False Breakouts :
1. Patience and Discipline : Patience and discipline are crucial when trading with False Breakouts. Wait for the False Breakout to clearly form before entering a trade.
2. Use Stop Loss : Setting an appropriate stop loss is vital when trading based on False Breakouts. Typically, the stop loss can be placed near the level where the False Breakout occurred.
3. Seek Confirmations : Before entering a trade, look for additional confirmations. These can include other analyses or technical indicators that show the price is likely to return to its previous level.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
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 Bac k: 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 False Breakout : Enables alerts for Breakout.
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
False Breakouts, as a key concept in technical analysis, are powerful tools for identifying sudden price changes and using them in trading. Understanding this phenomenon and applying it can help traders perform better in financial markets and avoid potential losses.
To benefit from False Breakouts, traders need to carefully analyze charts and use the appropriate analytical tools. By leveraging this strategy, traders can achieve lower-risk and higher-reward trades.
Percentage Change IndicatorPercentage Change Indicator
This indicator calculates and displays the percentage change between the current close price and the previous close price. It provides a clear visual representation of price movements, helping traders quickly identify significant changes in the market.
## Formula
The percentage change is calculated using the following formula:
```
Percentage Change = (Current Close - Previous Close) * 100 / Current Close
```
## Features
- Displays percentage change as a bar chart
- Green bars indicate positive changes
- Red bars indicate negative changes
- A horizontal line at 0% helps distinguish between positive and negative movements
## How to Use
1. Add the indicator to your chart
2. Observe the bar chart below your main price chart
3. Green bars above the 0% line indicate upward price movements
4. Red bars below the 0% line indicate downward price movements
5. The height of each bar represents the magnitude of the percentage change
This indicator can be particularly useful for:
- Identifying sudden price spikes or drops
- Analyzing the volatility of an asset
- Comparing price movements across different timeframes
- Spotting potential entry or exit points based on percentage changes
Customize the indicator's appearance in the settings to suit your charting preferences.
Note: This indicator works on all timeframes, adapting its calculations to the selected chart period.
Opening Price LinesThis script allows the user to set 16 custom opening time price lines and labels, as well as 4 vertical lines to delineate times of the day.
Opening price is crucial for PO3 and OHLC/OLHC market strategies. If you are bearish, you want to get in above the opening price of a candle; conversely if you are bullish you want to enter below the opening price of a candle.
This indicator will aid in identifying time clusters in price as well as identifying important times for whatever strategy the user employs.
*Many thanks to TFO for the framework from which this indicator was created.*
True Day Open1. *nyTime*: Converts the current time to the New York timezone.
2. *nyHour and nyMinute*: Extracts the hour and minute of the current candle in the New York timezone.
3. *isNyMidnightCandle*: A boolean variable that checks if the current candle is the 12:00 AM candle in New York.
4. *bgcolor*: Colors the background of the 12:00 AM candle blue.
5. *plotshape*: Optionally, you can mark the 12:00 AM candle with a blue label above the bar for better visibility.
You can copy and paste this code into the Pine Editor on TradingView and apply it to your chart. Make sure your chart is set to the 5-minute timeframe.
Trading Desk - OPEN SOURCEThe Trading Desk - is a powerful tool designed to identify key market stages based on Break of Structure (BOS) patterns. This indicator tracks Bullish and Bearish Market Breaks (MBs) to determine four crucial market stages: Accumulation, Distribution, Reaccumulation, and Redistribution.
Accumulation: Identified when a series of Bullish MBs dominate the market, signaling a potential upward trend.
Distribution: Triggered by dominant Bearish MBs, indicating a possible market decline.
Reaccumulation: Occurs after a sequence of Bullish MBs is followed by up to three Bearish MBs, suggesting a continuation of the upward trend after a temporary pullback.
Redistribution: Appears when a sequence of Bearish MBs is followed by up to three Bullish MBs, indicating a potential continuation of the downward trend after a brief upward correction.
The indicator also includes a dynamic table displayed at the top right of the chart, showing the current market stage in real-time. This helps traders quickly assess the market environment and make informed trading decisions.
Ideal for: Traders looking to understand market structure and identify trend continuation or reversal phases.
Pure Price Action Liquidity Sweeps [LuxAlgo]The Pure Price Action Liquidity Sweeps indicator is a pure price action adaptation of our previously published and highly popular Liquidity-Sweeps script.
Similar to its earlier version, this indicator detects the presence of liquidity sweeps on the user's chart, while also identifying potential areas of support/resistance or entry when liquidity levels are taken. The key difference, however, is that this price action version relies solely on price patterns, eliminating the need for numerical swing length settings.
🔶 USAGE
A Liquidity Sweep occurs when the price breaks through a liquidity level , after which the price returns below/above the liquidity level , forming a wick.
The examples below show a bullish and bearish scenario of "a wick passing through a liquidity level where the price quickly comes back".
Short-term liquidity sweep detection is based on short-term swing levels. Some of these short-term levels, depending on further market developments, may evolve into intermediate-term levels and, in the long run, become long-term levels. Therefore, enabling short-term detection with the script means showing all levels, including minor and temporal ones. Depending on the trader's style, some of these levels may be considered noise. Enabling intermediate and long-term levels can help filter out this noise and provide more significant levels for trading decisions. For further details on how swing levels are identified please refer to the details section.
The Intermediate-term option selection for the same chart as above, filters out minor or noisy levels, providing clearer and more significant levels for traders to observe.
🔶 DETAILS
The swing points detection feature relies exclusively on price action, eliminating the need for numerical user-defined settings.
The first step involves detecting short-term swing points, where a short-term swing high (STH) is identified as a price peak surrounded by lower highs on both sides. Similarly, a short-term swing low is recognized as a price trough surrounded by higher lows on both sides.
Intermediate-term swing and long-term swing points are detected using the same approach but with a slight modification. Instead of directly analyzing price candles, we now utilize the previously detected short-term swing points. For intermediate-term swing points, we rely on short-term swing points, while for long-term swing points, we use the intermediate-term ones.
🔶 SETTINGS
Detection: Period options of the detected swing points.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Liquidity-Sweeps.
Daily Liquidity Peaks and Troughs [ST]Daily Liquidity Peaks and Troughs
Description in English:
This indicator identifies peaks and troughs of highest liquidity on a daily timeframe by analyzing volume data. It helps traders visualize key points of high buying or selling pressure, which could indicate potential reversal or continuation areas.
Detailed Explanation:
Configuration:
Lookback Length: This input defines the period over which the highest high and lowest low are calculated. The default value is 14. This means the script will look at the past 14 bars to determine if the current high or low is a pivot point.
Volume Threshold Multiplier: This input defines the multiplier for the average volume. For example, a multiplier of 1.5 means the volume needs to be 1.5 times the average volume to be considered a significant peak or trough.
Peak Color: This input sets the color for liquidity peaks. The default color is red.
Trough Color: This input sets the color for liquidity troughs. The default color is green.
Volume Calculation:
Average Volume: The script calculates the simple moving average (SMA) of the volume over the lookback period. This helps to identify periods of significantly higher volume.
Volume Threshold: The threshold is determined by multiplying the average volume by the volume threshold multiplier. Only volumes exceeding this threshold are considered significant.
Identifying Peaks and Troughs:
Liquidity Peak: A peak is identified when the current high is the highest high over the lookback period and the current volume exceeds the volume threshold. This indicates a potential area of strong selling pressure.
Liquidity Trough: A trough is identified when the current low is the lowest low over the lookback period and the current volume exceeds the volume threshold. This indicates a potential area of strong buying pressure.
These peaks and troughs are marked on the chart with labels and shapes for easy visualization.
Plotting Peaks and Troughs:
Labels: The script uses labels to mark peaks and troughs on the chart. Peaks are marked with a red label and troughs with a green label.
Shapes: The script plots triangles above peaks and below troughs to highlight these areas visually.
Indicator Benefits:
Liquidity Identification: Helps traders identify key areas of high liquidity, indicating strong buying or selling pressure.
Visual Cues: Provides clear visual signals for potential reversal or continuation points, aiding in making informed trading decisions.
Customizable Parameters: Allows traders to adjust the lookback length and volume threshold to suit different trading strategies and market conditions.
Justification of Component Combination:
Peaks and Troughs Identification: Combining pivot points with volume analysis provides a robust method to identify significant liquidity areas. This helps in detecting potential market reversals or continuations.
Volume Analysis: Utilizing average volume and volume threshold ensures that only significant volume spikes are considered, enhancing the accuracy of identified peaks and troughs.
How Components Work Together:
The script first calculates the average volume over the specified lookback period.
It then checks each bar to see if it qualifies as a liquidity peak or trough based on the highest high, lowest low, and volume threshold.
When a peak or trough is identified, it is marked on the chart with a label and a shape, providing clear visual cues for traders.
Título: Picos e Fundos de Liquidez Diários
Descrição em Português:
Este indicador identifica picos e fundos de maior liquidez no gráfico diário, analisando os dados de volume. Ele ajuda os traders a visualizar pontos-chave de alta pressão de compra ou venda, o que pode indicar áreas potenciais de reversão ou continuação.
Explicação Detalhada:
Configuração:
Comprimento de Retrocesso: Este input define o período sobre o qual a máxima e mínima são calculadas. O valor padrão é 14. Isso significa que o script analisará os últimos 14 candles para determinar se a máxima ou mínima atual é um ponto de pivô.
Multiplicador de Limite de Volume: Este input define o multiplicador para o volume médio. Por exemplo, um multiplicador de 1.5 significa que o volume precisa ser 1.5 vezes o volume médio para ser considerado um pico ou fundo significativo.
Cor do Pico: Este input define a cor para os picos de liquidez. A cor padrão é vermelha.
Cor do Fundo: Este input define a cor para os fundos de liquidez. A cor padrão é verde.
Cálculo do Volume:
Volume Médio: O script calcula a média móvel simples (SMA) do volume ao longo do período de retrocesso. Isso ajuda a identificar períodos de volume significativamente mais alto.
Limite de Volume: O limite é determinado multiplicando o volume médio pelo multiplicador de limite de volume. Apenas volumes que excedem esse limite são considerados significativos.
Identificação de Picos e Fundos:
Pico de Liquidez: Um pico é identificado quando a máxima atual é a máxima mais alta no período de retrocesso e o volume atual excede o limite de volume. Isso indica uma potencial área de forte pressão de venda.
Fundo de Liquidez: Um fundo é identificado quando a mínima atual é a mínima mais baixa no período de retrocesso e o volume atual excede o limite de volume. Isso indica uma potencial área de forte pressão de compra.
Esses picos e fundos são marcados no gráfico com etiquetas e formas para fácil visualização.
Plotagem de Picos e Fundos:
Etiquetas: O script usa etiquetas para marcar picos e fundos no gráfico. Os picos são marcados com uma etiqueta vermelha e os fundos com uma etiqueta verde.
Formas: O script plota triângulos acima dos picos e abaixo dos fundos para destacar essas áreas visualmente.
Benefícios do Indicador:
Identificação de Liquidez: Ajuda os traders a identificar áreas-chave de alta liquidez, indicando forte pressão de compra ou venda.
Cues Visuais: Fornece sinais visuais claros para pontos potenciais de reversão ou continuação, auxiliando na tomada de decisões informadas.
Parâmetros Personalizáveis: Permite que os traders ajustem o comprimento de retrocesso e o limite de volume para se adequar a diferentes estratégias de negociação e condições de mercado.
Justificação da Combinação de Componentes:
Identificação de Picos e Fundos: A combinação de pontos de pivô com análise de volume fornece um método robusto para identificar áreas significativas de liquidez. Isso ajuda na detecção de potenciais reversões ou continuações de mercado.
Análise de Volume: Utilizar o volume médio e o limite de volume garante que apenas picos de volume significativos sejam considerados, aumentando a precisão dos picos e fundos identificados.
Como os Componentes Funcionam Juntos:
O script primeiro calcula o volume médio ao longo do período especificado de retrocesso.
Em seguida, verifica cada barra para ver se ela se qualifica como um pico ou fundo de liquidez com base
Gartley Harmonic Pattern [TradingFinder] Harmonic Chart patterns🔵 Introduction
Research by H.M. Gartley and Scott Carney emphasizes the importance of harmonic patterns in technical analysis for predicting market movements. Gartley's work, particularly the Gartley 222 pattern, is detailed in his book "Profits in the Stock Market" and relies on the specific placement of points X, A, B, C, and D.
🟣 Defining the Gartley Pattern
The Gartley pattern is a powerful technical analysis tool often seen at the end of a trend, signaling a potential reversal. Ideally, it forms during the first and second waves of Elliott Wave theory, with wave XA representing wave 1 and the entire ABCD correction representing wave 2.
While patterns outside this structure are also valid, the key points of the Gartley pattern align closely with Fibonacci retracement levels. Specifically, point B corrects wave XA to the 61.8% level, point C lies between 38% and 79% of wave AB, and point D extends between 113% and 162% of wave BC.
The bullish Gartley pattern, shown below, forms at the end of a downtrend and signals a potential buying opportunity.
Bullish :
Bearish :
🔵 How to Use
🟣 Bullish Gartley Pattern
To spot a bullish Gartley pattern, follow these rules: the move from point X to point A (the first leg) must be upward. The subsequent move from point A to point B is downward, followed by an upward move from point B to point C.
Finally, the move from point C to point D is downward. On a chart, this pattern resembles the letter M. After the final leg of this pattern, prices are expected to rise from point D.
🟣 Bearish Gartley Pattern
A bearish Gartley pattern forms similarly to the bullish one but in reverse. The initial move from point X to point A should be downward. The next move from point A to point B is upward, followed by a downward move from point B to point C.
The final leg moves upward from point C to point D. This pattern appears as a W on charts, indicating that prices are likely to fall from point D after the final move.
By understanding and identifying Gartley patterns, traders can enhance their technical analysis and improve their decision-making in financial markets. These patterns, when correctly identified, offer significant insights into potential market reversals and continuation patterns.
🔵 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 Format : 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.
FVG (ICT) with Swing LevelsThis indicator, called "Fair Value Gaps (ICT) with Swing Levels", overlays on the main chart and does the following:
Initial Setup:
It defines user-adjustable parameters:
lookback: Lookback period to keep FVGs visible.
swingPeriod: Period for calculating swing highs and lows.
bullColor and bearColor: Colors for bullish and bearish FVGs.
Fair Value Gaps (FVGs) Detection:
Uses a function to identify FVGs by comparing candle high and low prices.
A bullish FVG forms when the low of two candles ago is higher than the high of the current candle.
A bearish FVG forms when the high of two candles ago is lower than the low of the current candle.
Swing Levels Calculation:
Calculates swing highs and lows over the specified period.
These swing levels define the current market range.
Current Range Verification:
Implements a function to check if an FVG is within the range defined by swing levels.
This ensures only the most relevant FVGs for the current market situation are displayed.
FVG Drawing:
When it detects an FVG (bullish or bearish) within the current range, it draws a box on the chart.
Boxes extend from the bar where the FVG formed to the current bar.
Bullish FVGs are drawn in green and bearish in red (colors are customizable).
Old FVGs Management:
On each new bar, the indicator checks all existing FVG boxes.
It removes boxes that are outside the specified lookback period.
It also removes boxes that are no longer within the current range of swing levels.
Swing Levels Visualization:
Draws lines on the chart to show swing highs (in blue) and swing lows (in purple).
These lines help visualize the current market range.
Continuous Update:
The indicator updates on each new candle, constantly refreshing FVGs and swing levels.
In summary, this indicator identifies and visualizes Fair Value Gaps according to the ICT methodology, filtering them based on higher timeframe swing levels. This helps traders focus on the most significant FVGs within the current market context, reducing visual noise and potentially improving trading decision-making.