Change in State of Delivery (CISD) [LuxAlgo]The Change In State Of Delivery (CISD) indicator detects and displays Change in State Of Delivery, a concept related to market structures.
Users can choose between two different CISD detection methods. Various filtering options are also included to filter out less significant CISDs.
🔶 USAGE
A Change in State of Delivery (CISD) is a concept closely related to market structures, where price breaks a level of interest, confirming trends and their continuations from the resulting breakouts.
Unlike more traditional market structures which rely on swing points, CISDs rely on a persistent sequence of candles, using the sequence extremes as breakout levels.
CISDs are detected as follows:
Bullish: The price closes above the opening price of the first candle in a sequence of bearish candles (or its own opening price if it's the only candle).
Bearish: The price closes below the opening price of the first candle in a sequence of bullish candles (or its own opening price if it's the only candle).
If a newly detected CISD aligns with the indicator's current established trend, this confirms a trend continuation (represented with a dashed line).
On the other hand, if a newly detected CISD is in the opposite direction to the detected trend it can confirm a trend reversal (represented with a solid line).
🔹 Liquidity Sweep Detection Method
Using Liquidity Sweeps to update CISD breakout levels allows us to obtain less frequent and more relevant levels that are less sensitive to noisy price variations.
Sweeps are obtained from detected Swing Points , with a higher Swing Length allowing us to obtain longer-term swing levels and potentially more detected sweeps from a specific level over time.
Note: The 'Swing Length' setting is only applicable on the Liquidity Sweep Detection Method and will only change the Liquidity levels.
A Liquidity Sweep is valid when the price reaches an important liquidity level , after which the price closes below/above this level.
Bullish scenario: The price goes below a previous unbroken Swing Low but closes above.
Bearish scenario: The price goes above a previous unbroken Swing High but closes below.
After a Liquidity Sweep has been detected, the last level of importance acts as support/resistance . Breaking this level in the other direction changes the state of delivery .
Users must keep observing the price and significant levels, as highlighted by the white rectangle in the above example.
🔹 CISD Filtering
Users can adjust the following two settings:
Minimum CISD Duration: The minimum length of the 'CISD' line
Maximum Swing Validity: The maximum length of the 'CISD' line; potential CISD lines that aren't broken are deleted when exceeding the limit.
The chart can get cluttered when the Minimum CISD Duration is low. Users could focus on a switch in trend (first solid line CISD ), where the following dashed CISD lines can be seen as extra opportunities/confirmations.
🔶 DETAIL
🔹 Using Different Timeframes
When an important liquidity level (Previous Swing high/low, FVG, etc.) is reached on the higher timeframe, the user can move to a lower timeframe to check whether there is a CISD .
Above example:
The high of the last candle breaches a liquidity level (previous Swing High). The opening price of the last candle acts as a trigger/confirmation level.
A confirmed CISD is seen in a lower timeframe, just after this Liquidity Sweep. This could be an early opportunity.
Later, a confirmed CISD on the higher timeframe is established.
🔶 SETTINGS
Detection Method: Classic or Liquidity Sweep
Swing Length: Period used for the swing detection, with higher values returning longer-term Swing Levels.
Minimum CISD Duration: The minimum length of the CISD line
Maximum Swing Validity: The maximum length of the CISD line; potential CISD lines that aren't broken are deleted when exceeding the limit.
Pontos e níveis de pivô
Enhanced BOS Strategy with SL/TP and EMA TableDescription:
The Enhanced BOS (Break of Structure) Strategy is an advanced open-source trading indicator designed to identify key market structure changes, integrated with dynamic Stop Loss (SL) and Take Profit (TP) levels, along with an informative EMA (Exponential Moving Average) table for added trend analysis.
Key Features:
Break of Structure (BOS) Detection:
The script detects bullish and bearish BOS by identifying pivot points using a custom pivot period. When the price crosses above or below these points, it signals a potential market trend reversal or continuation.
Dynamic SL/TP Levels:
Users can toggle static SL/TP settings, which automatically calculate levels based on user-defined points. These levels are visualized on the chart with dotted lines and labeled for clarity.
Volume Filters:
The strategy includes a volume condition filter to ensure that only trades within a specified volume range are considered. This helps in avoiding low-volume trades that might lead to false signals.
EMA Table Display:
An on-chart table displaying the current values of the 13-period, 50-period, and 200-period EMAs. This provides a quick reference for trend identification and confirmation, helping traders to stay aligned with the broader market trend.
How It Works:
The script utilizes a combination of moving averages and pivot points to identify potential breakouts or breakdowns in market structure. When a bullish BOS is detected, and the volume conditions are met, the strategy suggests a long position, marking potential SL/TP levels. Similarly, it suggests short positions for bearish BOS.
The EMA table serves as a visual aid, providing real-time updates of the EMA values, allowing traders to gauge the market’s directional bias quickly.
How to Use:
Setting Parameters:
Adjust the pivot period to fine-tune BOS detection according to your trading style and the asset’s volatility.
Configure the SL/TP settings based on your risk tolerance and target profit levels.
Interpreting Signals:
A “Buy” label on the chart indicates a bullish BOS with volume confirmation, signaling a potential long entry.
A “Sell” label indicates a bearish BOS with volume confirmation, signaling a potential short entry.
The EMA table aids in confirming these signals, where the position of the fast, mid, and slow EMAs can provide additional context to the trend’s strength and direction.
Volume Filtering:
Ensure your trades are filtered through the script’s volume condition, which allows for the exclusion of low-volume periods that might generate unreliable signals.
Unique Value:
Unlike many other BOS strategies, this script integrates volume conditions and a visual EMA table, providing a comprehensive toolkit for traders looking to capture market structure shifts while maintaining an eye on trend direction and trade execution precision.
Additional Information:
This script is designed for use on standard bar or candlestick charts for best results.
It is open-source and free to use, encouraging collaboration and improvement by the TradingView community.
By combining powerful trend-following EMAs with the precision of BOS detection and the safety of volume filtering, the Enhanced BOS Strategy offers a balanced approach to trading market structure changes.
Custom Opening Price Levels (PO3)This indicator is designed to assist the trader in identifying the Power of Three through the opens of the candles.
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The PO3 is a concept introduced by ICT. First, you need to have a directional bias for the month or the specific candle in question. It should be of high time frame (HTF BIAS).
At the open of the specific candle, the market will generate interest in the direction opposite to the HTF BIAS, accumulating positions. It will then manipulate the positions of less informed traders to generate the necessary liquidity to fill informed operators positions.
Finally, positions are distributed in favor of the bias.
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The PO3 is a phenomenon that repeats across all timeframes. This indicator is highly customizable and allows the user to choose from a range of timeframes: 3 months, 1 month, 1 week, 1 day, and 3 hours. The indicator displays the last 3 opens for the selected period.
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The script is open-source, so feel free to add more timeframes or open levels if you have coding skills.
Price & Volume Breakout Fibonacci Probability [TradeDots]📝 OVERVIEW
The "Price & Volume Breakout Fibonacci Probability" indicator is designed to detect the probability of the maximum run-up and drawdown of each breakout trade on an asset, assisting traders in optimizing their take profit and stop loss strategies.
🧮 CALCULATIONS
The algorithm detects price and volume breakouts to activate the Fibonacci levels displayed on the chart. It calculates these levels using the period pivot high and low, with the close price of the breakout bar as the reference price.
The indicator then forward-tests within an user-selected number of bars, detecting the maximum run-up and drawdown during that period. Consequently, it calculates the probability of the price hitting either side of the Fibonacci levels, showing the likelihood of reaching take profit and stop loss targets for each breakout trade.
📊 EXAMPLE
The above example shows two breakout trades, circled within the yellow rectangle zone.
The first trade has a maximum run-up above the +0.382 Fibonacci level zone and a maximum drawdown below the -0.618 Fibonacci level zone.
When the price reaches the maximum run-up, it only has a ~45% probability of moving further upward into the last two zones (25% + 19.44%). This indicates that setting a take profit at a higher level may have less than a 50% chance of success.
Conversely, when the price reaches its maximum drawdown, there is only an ~8% probability of moving further downward into the last drawdown zone. This could indicate a potential reversal.
⚙️ SETTINGS
Breakout Condition: Determines the type of breakout condition to track: "Price", "Volume", "Price & Volume".
Backtest Period: The maximum run-up and drawdown are detected within this bar period.
Price Breakout Period: Specifies the number of bars the price needs to break out from.
Volume Breakout Period: Specifies the number of bars the volume needs to break out from.
Trendline Confirmation: Confirms that the close price needs to be above the trendline.
📈 HOW TO USE
By understanding the probabilities of price movements to both the upside and downside, traders can set take profit and stop loss targets with greater accuracy.
For instance, placing a stop loss order below the zone with the highest probability minimizes the chances of being stopped out of a profitable trade. Conversely, setting a take profit target at the zone with the highest probability increases the win rate.
Additionally, if the price breaches multiple Fibonacci levels during the breakout period, it may indicate an abnormal state, signaling a potential reversal or pullback. This can help traders exit trades in a timely manner.
Traders can adjust their take profit and stop loss levels based on their individual risk tolerance.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Swing Points [CrossTrade]The "Swing Points" indicator is designed to help identify key swing points, trends, and potential support and resistance areas on a trading chart. This indicator overlays on the price chart and offers several features for enhanced market analysis.
Swing Point Identification: The indicator identifies swing highs and lows (pivot points) over a user-defined period. These points are crucial in understanding market reversals and momentum.
Swing Points Display: Users have the option to visually display these pivot points on the chart. Swing highs are marked with a red "H" above the bar, and swing lows with a green "L" below the bar, aiding in quick visual identification.
Center Line Calculation and Display: A dynamic center line is calculated using the pivot points, providing a baseline that adapts to market movements. The center line's appearance changes based on its position relative to the current price, making it a useful trend indicator.
Support and Resistance Levels: The indicator plots horizontal support and resistance lines based on the swing lows and highs, respectively. This feature helps traders identify potential areas of price consolidation or breakout.
Customization Options: Users can customize the period for swing point calculation and choose whether to display the pivot points, center line, and support/resistance levels.
Alert Features
Swing High Break Alert: An alert is triggered when a new swing high is detected, signaling a potential upward momentum shift.
Swing Low Break Alert: This alert activates when a new swing low is formed, possibly indicating a downward momentum shift.
Center Line Trend Color Change Alert: Alerts users when the center line changes its trend color, which could signify a change in overall market trend direction.
Volatility Projection Levels (VPL)### Indicator Name: **Volatility Projection Levels (VPL)**
### Description:
The **Volatility Projection Levels (VPL)** indicator is a powerful tool designed to help traders anticipate key support and resistance levels for the E-mini S&P 500 (ES) by leveraging the CBOE Volatility Index (^VIX). This indicator utilizes historical volatility data to project potential price movements for the upcoming month, offering clear visual cues that enhance swing trading strategies.
### Key Features:
- **Volatility-Based Projections**: The VPL indicator uses the previous month’s closing value of the VIX, normalizing it for monthly analysis by dividing by the square root of 12. This calculated percentage is then applied to the E-mini S&P 500’s closing price from the last day of the previous month.
- **Upper and Lower Projection Levels**: The indicator calculates two essential levels:
- **Upper Projection Level**: The previous month’s closing price of the E-mini S&P 500 plus the calculated volatility percentage.
- **Lower Projection Level**: The previous month’s closing price of the E-mini S&P 500 minus the calculated volatility percentage.
- **Continuous Visualization**: The VPL indicator plots these projection levels on the chart throughout the entire month, providing traders with a consistent reference for potential support and resistance zones. This continuous visualization allows for better anticipation of market movements.
- **Previous Month's Close Reference**: Additionally, the indicator plots the previous month’s closing price as a reference point, offering further context for current price action.
### Use Cases:
- **Swing Trading**: The VPL indicator is ideal for swing traders looking to exploit predicted price ranges within a monthly timeframe.
- **Support & Resistance Identification**: It aids traders in identifying critical levels where the market may encounter support or resistance, thus informing entry and exit decisions.
- **Risk Management**: By forecasting potential price levels, traders can set more strategic stop-loss and take-profit levels, enhancing risk management.
### Summary:
The **Volatility Projection Levels (VPL)** indicator equips traders with a forward-looking tool that incorporates volatility data into market analysis. By projecting key price levels based on historical VIX data, the VPL indicator enhances decision-making, helping traders anticipate market movements and optimize their trading strategies.
Made by Serpenttrading
Daily Levels Percentual [TOLK] Settings Crypto and ForexPercentage zones refer to specific areas or bands on the price chart of a financial asset that are bounded by percentages of change relative to a reference point, such as the opening price or a reference value from a previous move.
These zones are useful for identifying support and resistance levels, predicting possible price reversals, or setting price targets. For example, on a price chart, you can create percentage zones to observe how the price behaves when it reaches 1%, 2%, 5%, 10%, etc., above or below a certain point.
These zones can be used in conjunction with other technical analysis tools, such as Fibonacci, moving averages, or volume analysis, to improve decision-making in trading strategies.
The default indicator levels are as follows:
SETTINGS Crypto:
Crypto Level 1 > 1.0%
Crypto Level 2 > 1.618%
Crypto Level 3 > 2.0%
Crypto Level 4 > 2.618%
Crypto Level 5 > 3.618%
Crypto Level 6 > 4.618%
Crypto Level 7 > 5.0%
Crypto Level 8 > 7.618%
Crypto Level 9 > 10.0%
Crypto Level 10 > 12.618%
Crypto Level 11 > 13.618%
Crypto Level 12 > 15%
Crypto Level 13 > 17.618%
Crypto Level 14 > 20%
SETTINGS Forex:
Forex Level 1 > 0.10%
Forex Level 2 > 0.1618%
Forex Level 3 > 0.20%
Forex Level 4 > 0.2618%
Forex Level 5 > 0.3618%
Forex Level 6 > 0.4618%
Forex Level 7 > 0.50%
Forex Level 8 > 0.7618%
Forex Level 9 > 1.0%
Forex Level 10 > 1.2618%
Forex Level 11 > 1.3618%
Forex Level 12 > 1.50%
Forex Level 13 > 1.7618%
Forex Level 14 > 2.0%
Percentage Levels This approach helps identify critical price levels where the asset may encounter support or resistance, making it easier to make trading decisions based on price movement patterns.
Configurable Level Trading StrategyThe Dynamic Level Reversal Strategy is a trading approach designed to capitalize on price movements between key support and resistance levels. This strategy leverages configurable levels the trader determines, allowing for flexibility and adaptation to different market conditions.
Key Features:
Configurable Levels:
The strategy uses three key levels: Level 1 (Support), Level 2 (Middle), and Level 3 (Resistance). These levels can be adjusted directly within the script settings, making the strategy adaptable to various trading scenarios.
Buy and Sell Signals:
A buy signal is triggered when the price touches Level 1 and shows signs of reversal. The trader enters a position and sets an initial stop-loss just below Level 1.
As the price moves upward, the stop-loss is dynamically adjusted to just below Level 2 and Level 3, locking in profits while managing risk.
A sell signal is generated if the price reverses and crosses below the current stop-loss level, ensuring the trader exits the position with minimized losses.
Iterative Process:
The strategy allows for iterative trades, where the trader re-enters positions at Level 1 or Level 2 if the price revisits these levels, continually adjusting stop-losses and take-profit targets as the price oscillates between the defined levels.
Ideal Use Cases:
Range-Bound Markets: The strategy is particularly effective in markets where the price tends to oscillate between well-defined support and resistance levels.
Volatile Markets: The dynamic adjustment of stop-loss levels helps protect against sudden price reversals, making it suitable for volatile market conditions.
How to Use:
Set the desired levels (Level 1, Level 2, Level 3) based on your market analysis.
The script will automatically generate buy and sell signals, and adjust stop-loss levels as the price moves through the levels.
Monitor the signals and execute trades according to the strategy's guidelines.
Candle Fibs [QuantVue]The Candles Fib indicator is designed to help traders find potential levels of support and resistance based on ATR and Fibs.
How the Indicator Works
Identification of Large Candles:
🔹The indicator begins by identifying "large candles" based on their size relative to the Average True Range (ATR).
🔹 ATR (Average True Range) : ATR is a technical analysis indicator that measures market volatility by averaging the true range over a specified period, default 10 periods. The true range is the greatest of the following:
The difference between the current high and current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
🔹In this script, a candle is considered "large" if its true range (the difference between the high and low) is at least twice the ATR.
Calculation of Fibonacci Levels:
🔹Once a large candle is identified, the indicator calculates key Fibonacci retracement levels based on the size of the candle.
🔹 Fibonacci Retracement : Fibonacci retracement levels are horizontal lines that indicate where support and resistance are likely to occur. These levels are derived from the Fibonacci sequence, a series of numbers where each number is the sum of the two preceding ones, often found in nature and markets.
🔹The most commonly used Fibonacci retracement levels are 0.382, 0.50, 0.618, and 0.786. In this indicator, the 0.50 and 0.618 levels are used.
Dynamic Plotting and Management of Levels:
🔹The indicator plots these Fibonacci levels as horizontal lines on the chart automatically.
🔹These lines extend as new bars (candlesticks) are formed, allowing the trader to see how the market reacts to these levels in real-time.
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We hope you enjoy.
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4C Data Table SuiteOverview
The 4C Data Table Suite is a versatile TradingView indicator, designed for traders who focus on the critical role of prior bar levels in their strategy. By highlighting the high and low points of previous bars, this tool aids in pinpointing crucial support and resistance zones, which often act as psychological triggers for market participants. The unique feature of this indicator is its dual-color coding: it colors bars green for bullish closes and red for bearish closes in the Prior Bar Table, and for the current timeframe, it highlights whether the current price is above (green) or below (red) these levels.
Concepts
1 — This sophisticated indicator is not just about visual cues; it provides a rich tableau of data including:
• Current timeframe countdown to bar close
• GMT-adjusted clock for precise trade timing
• Real-time updates on market internals and volatility measures such as the NYSE TICK and ATR
2 — The configuration is highly customizable, allowing users to:
• Adjust the table's positioning and text size
• Choose color settings for text, background, and borders to suit their visual preference
• Toggle the display of various data components based on their trading needs
3 — The Prior Bar Table is particularly valuable for:
• Traders using prior bar levels as triggers for trade entries and exits
• Quick visual assessment of market sentiment
• Real-time decision-making supported by dynamic color coding based on current price movements relative to prior highs and lows
Features
• Prior Bar Levels Table: Visualizes high and low levels of prior bars with intuitive color coding, aiding traders in assessing market trends.
• Dynamic Color Coding: Updates colors based on the closure of the previous bar and current price positions relative to the past bar's highs and lows.
• Comprehensive Market Data: Includes a suite of essential data such as market internals, the prior bar’s range, and the latest price information.
• Customizable Visuals: Offers extensive options for customizing the appearance and data presented, ensuring the tool fits seamlessly into any trader's strategy.
How to Use
1. To add the indicator, search for "4C Data Table Suite" under indicators on TradingView and apply it to your chart.
2. Navigate to the indicator settings to customize the display properties, including table position, color schemes, and which data points to display.
3. Utilize the toggles within the "Prior Bar Levels Table" settings to adjust the visibility and behavior of the table, depending on your trading approach.
Limitations
• This indicator is optimized for use on time-based charts and may not perform as intended on tick charts or non-standard timeframes.
• The color coding is based on the closure of bars, which may not always reflect intrabar movements, potentially affecting real-time decision-making in highly volatile markets.
Notes
• Ensure your TradingView interface is set to the correct timezone settings to align the GMT clock accurately.
• The dynamic color updates are designed to provide at-a-glance insights but should be used in conjunction with other analysis tools for best results.
*If you find that the indicator is blocking some of the candles at the bottom of the screen, go to (Chart) Settings, Canvas, and then adjust the Bottom/Top margin by increasing the % Amount.
Thanks
Special thanks to the TradingView community and developers whose feedback and insights have helped refine the functionalities of the 4C Data Table Suite. Your collaborative spirit is what makes continuous improvement possible.
Pivot Market StructureThis Indicator helps identify the current market structure.
The Swing Market Structure is identified based on thresholds (either on percentages or absolute values) to tell if a pullback is value (=deep enough). If a level is broken, the furthest opposite point becomes the new low/high, respectively.
For the active movement (identified high + low), various retracement levels can be configured and shown.
As most granular structure, the Fractal Market Structure helps identify strong structure breaks within the most recent bars.
Note: If certain timeframes don´t show a market structure breakdown, reduce the threshold until valid pullbacks can be found.
Predictive Order Blocks [CryptoSea]The Predictive Order Blocks Indicator is a unique and innovative tool that enhances market analysis by identifying support and resistance blocks based on standard deviations from a median line. Unlike traditional indicators that rely solely on the close price, this indicator leverages the median line and standard deviations to form areas of interest, rather than targeting a single price point. This approach provides a more accurate representation of market structure, especially during periods of consolidation and expansion.
Key Features
Multi-Term Length Analysis: The indicator offers short, medium, and long-term settings, allowing traders to customise the analysis based on their preferred trading strategy and timeframe. This flexibility ensures that the tool is adaptable to various market conditions and trading styles.
Standard Deviation-Based Order Blocks: The core functionality of the indicator revolves around calculating standard deviations from a median line to form support and resistance blocks. These blocks provide a clearer and more reliable picture of market structure compared to single-point levels. By focusing on areas rather than exact price levels, the indicator helps traders identify zones where price is likely to react, leading to more informed trading decisions.
Dynamic Box Creation: The indicator dynamically creates breakout boxes based on user-selected standard deviation ranges. These boxes are formed at the start of market expansion following periods of consolidation. This feature is particularly useful because it highlights key levels where price is likely to retrace after breaking out, providing traders with actionable insights during market transitions.
Proximity-Based Gradient Colors: The indicator features gradient colors that change based on the price's proximity to the standard deviation bands. This visual aid helps traders quickly assess the current market condition and the potential significance of the support and resistance blocks.
Adaptive Display Options: To accommodate different trading preferences, the indicator includes options to toggle the display of the trend line (median line) and the standard deviation bands. This flexibility allows traders to customise their chart view to match their analysis style, whether they prefer a more clutter-free view or a detailed breakdown of market levels.
In the example below, the indicator shows the bands compressing during a period of consolidation, highlighting the potential for a breakout.
How it Works
Median Line Calculation: The indicator calculates the median line using a user-defined period. This line serves as the central reference point from which the standard deviations are calculated. By using the median line instead of just the close price, the indicator provides a more stable and reliable baseline for identifying support and resistance areas.
Standard Deviation Bands: Around the median line, the indicator calculates multiple standard deviation bands. These bands represent areas where price is statistically likely to find support or resistance. By focusing on these areas, traders can better anticipate where price might react, rather than relying on arbitrary levels.
Dynamic Box Creation and Expansion Detection: The indicator monitors the compression and expansion of the standard deviation bands. During periods of low volatility (squeeze), the bands compress, indicating consolidation. Once the bands start expanding, it signals the potential for a breakout. At this point, the indicator dynamically creates predictive order blocks based on the selected standard deviation range. These blocks highlight key levels where price might retrace or react, providing traders with valuable entry and exit points.
Color-Coded Proximity Alerts: To further enhance usability, the indicator uses color gradients to indicate how close the current price is to the calculated bands. This visual representation helps traders quickly assess the potential significance of the price's current position relative to the support and resistance areas.
In the example below, the indicator shows the bands expanding with the price, triggering the formation of the predictive order block.
In the final example, the price retraces into the order block before bouncing back to the upside, demonstrating the effectiveness of the identified support area.
Alerts
Trend Line Alerts: The indicator provides alerts when the price crosses above or below the trend line (median line). This feature is crucial for traders looking to identify potential trend changes early, allowing them to act quickly on emerging opportunities.
Band Alerts: Alerts are also triggered when the price crosses above or below the upper or lower bands for each standard deviation level. This helps traders identify potential breakout or breakdown scenarios, ensuring they are notified of significant market movements as they happen.
Customisable Alert Conditions: To cater to different trading strategies, the indicator allows users to set alert conditions for each standard deviation band and the trend line. This level of customisation ensures that traders receive alerts that are relevant to their specific trading style and market analysis.
Application
Strategic Decision-Making: The Predictive Order Blocks Indicator assists traders in making informed decisions by providing detailed analysis of potential breakout zones. By identifying key support and resistance areas, the indicator helps traders plan their entries and exits with greater precision.
Trend Confirmation: The indicator reinforces trading strategies by identifying key levels where price is likely to react. This confirmation is crucial for traders looking to enter trades with higher confidence.
Customized Analysis: The indicator adapts to various trading styles with extensive input settings that control the display and calculation of order blocks. Whether you're a day trader, swing trader, or long-term investor, the indicator can be tailored to meet your specific needs.
Visual Clarity: With customizable color settings and display options, the indicator enhances chart readability, allowing traders to quickly and easily interpret market data.
The Predictive Order Blocks Indicator by CryptoSea is an invaluable addition to a trader's toolkit, offering depth and precision in market trend analysis to navigate complex market conditions effectively.
Price Close ProbabilityThe Price Close Probability Indicator is designed to help traders estimate the likelihood of price closing above or below specified levels within a given bar. By placing two levels on your chart, you can quickly gauge the probability of the current price bar closing above or below these levels in real-time.
Key Features:
Dynamic Probability Calculation: The indicator continuously updates the probability of price closing above or below your set levels as the current bar progresses, providing you with timely insights as the bar approaches its close.
Customizable Standard Deviation : Adjust the length of the Standard Deviation used in the calculations to tailor the probability estimates to your preferred settings.
User-Friendly Probability Table : A clean, easy-to-read table displays the calculated probabilities, helping you make informed trading decisions at a glance.
Assumptions and Considerations:
While the indicator assumes that returns are normally distributed, which may not fully reflect reality, it still offers a valuable approximation of the probabilities for price movement within the current bar.
Future Enhancements (Coming Soon):
Multi-Bar Probability: Calculate probabilities across multiple bars to enhance your forecasting capabilities.
Additional Levels: Set more than two levels for a broader analysis of price movements.
Refined Distribution Modeling: Improve the accuracy of probability calculations by adjusting for more realistic return distributions.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Market Structure Based Stop LossMarket Structure Based Dynamic Stop Loss
Introduction
The Market Structure Based Stop Loss indicator is a strategic tool for traders designed to be useful in both rigorous backtesting and live testing, by providing an objective, “guess-free” stop loss level. This indicator dynamically plots suggested stop loss levels based on market structure, and the concepts of “interim lows/highs.”
It provides a robust framework for managing risk in both long and short positions. By leveraging historical price movements and real time market dynamics, this indicator helps traders identify quantitatively consistent risk levels while optimizing trade returns.
Legend
This indicator utilizes various inputs to customize its functionality, including "Stop Loss Sensitivity" and "Wick Depth," which dictate how closely the stop loss levels hug the price's highs and lows. The stop loss levels are plotted as lines on the trading chart, providing clear visual cues for position management. As seen in the chart below, this indicator dynamically plots stop loss levels for both long and short positions at every point in time.
A “Stop Loss Table” is also included, in order to enhance precision trading and increase backtesting accuracy. It is customizable in both size and positioning.
Case Study
Methodology
The methodology behind this indicator focuses on the precision placement of stop losses using market structure as a guide. It calculates stop losses by identifying the "lowest close" and the corresponding "lowest low" for long setups, and inversely for short setups. By adjusting the sensitivity settings, traders can tweak the indicator's responsiveness to price changes, ensuring that the stop losses are set with a balance between tight risk control and enough room to avoid premature exits due to market noise. The indicator's ability to adapt to different trading styles and time frames makes it an essential tool for traders aiming for efficiency and effectiveness in their risk management strategies.
An important point to make is the fact that the stop loss levels are always placed within the wicks. This is important to avoid what can be described as a “floating stop loss”. A stop loss placed outside of a wick is susceptible to an outsized degree of slippage. This is because traders always cluster their stop losses at high/low wicks, and a stop loss placed outside of this level will inevitably be caught in a low liquidity cascade or “wash-out.” When price approaches a cluster of stop losses, it is highly probable that you will be stopped out anyway, so it is prudent to attempt to be the trader who gets stopped out first in order to avoid high slippage, and losses above what you originally intended.
// For long positions: stop-loss is slightly inside the lowest wick
float dynamic_SL_Long = lowestClose - (lowestClose - lowestLow) * (1 - WickDepth)
// For short positions: stop-loss is slightly inside the highest wick
float dynamic_SL_Short = highestClose + (highestHigh - highestClose) * (1 - WickDepth)
The percentage depth of the wick in which the stop loss is placed is customisable with the “Wick Depth” variable, in order to customize stop loss strategies around the liquidity of the market a trader is executing their orders in.
Pivot Channel Breaks [BigBeluga]Pivot Channel Break
The Pivot Channel Break indicator identifies key pivot points and creates a dynamic channel based on these pivots. It detects breakouts from this channel, providing potential entry and exit signals for traders.
🔵 How to Use
Channel Identification:
- Upper and lower channel lines drawn based on pivot highs and lows
- Channel width dynamically adjusted using ATR-like calculation
Breakout Signals:
- Upward breakout: Price closes above upper channel line
- Downward breakout: Price closes below lower channel line
- Signals shown as X marks on the chart
Pivot Points:
- High pivots marked with "H" triangles
- Low pivots marked with "L" triangles
Support & Resistance:
- Optional signals when price touches but doesn't break channel lines
Trend Visualization:
- Optional bar coloring based on the most recent breakout direction
🔵 Customization
• Pivot Right: Lookback period for pivot detection (default: 10)
• Pivot Left: Forward period for pivot confirmation (default: 40)
• Channel Width: Multiplier for channel width calculation (default: 1.0)
• Support & Resistance Signals: Toggle additional touch signals
• Bar Color: Enable/disable trend-based bar coloring
Calculation:
Detect pivot highs and lows using specified lookback periods
Calculate channel basis using 10-period SMA of close prices
Determine channel width using ATR-like calculation: RMA(high - low, 10) * width multiplier
Set channel lines based on pivot points and calculated deviations
Identify breakouts when price crosses beyond channel lines
The Pivot Channel Break indicator offers a dynamic approach to identifying potential trend changes and breakout opportunities. It combines pivot point analysis with a flexible channel calculation, providing traders with a visual tool for market structure analysis. Use this indicator in conjunction with other technical analysis methods to confirm signals and manage risk effectively.
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.
