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.
在腳本中搜尋"support"
MACD Trail | Flux Charts💎 GENERAL OVERVIEW
Introducing our new MACD Trail indicator! Moving average convergence/divergence (MACD) is a well-known indicator among traders. It's a trend-following indicator that uses the relationship between two exponential moving averages (EMAs). This indicator aims to use MACD to generate a trail that follows the current price of the ticker, which can act as a support / resistance zone. More info about the process in the "How Does It Work" section.
Features of the new MACD Trail Indicator :
A Trail Generated Using MACD Calculation
Customizable Algorithm
Customizable Styling
📌 HOW DOES IT WORK ?
First of all, this indicator calculates the current MACD of the ticker using the user's input as settings. Let X = MACD Length setting ;
MACD ~= X Period EMA - (X * 2) Period EMA
Then, two MACD Trails are generated, one being bullish and other being bearish. Let ATR = 30 period ATR (Average True Range)
Bullish MACD Trail = Current Price + MACD - (ATR * 1.75)
Bearish MACD Trail = Current Price + MACD + (ATR * 1.75)
The indicator starts by rendering only the Bullish MACD Trail. Then if it's invalidated (candlestick closes below the trail) it switches to Bearish MACD Trail. The MACD trail switches between bullish & bearish as they get invalidated.
The trail type may give a hint about the current trend of the price action. The trail itself also can act as a support / resistance zone, here is an example :
🚩 UNIQUENESS
While MACD is one of the most used indicators among traders, this indicator aims to add another functionality to it by rendering a trail based on it. This trail may act as a support / resistance zone as described above, and gives a glimpse about the current trend. The indicator also has custom MACD Length and smoothing options, as well as various style options.
⚙️ SETTINGS
1. General Configuration
MACD Length -> This setting adjusts the EMA periods used in MACD calculation. Increasing this setting will make MACD more responseive to longer trends, while decreasing it may help with detection of shorter trends.
Smoothing -> The smoothing of the MACD Trail. Increasing this setting will help smoothen out the MACD Trail line, but it can also make it less responsive to the latest changes.
VWAP Bands [UAlgo]The "VWAP Bands " indicator is designed to provide traders with valuable insights into market trends and potential support/resistance levels using Volume Weighted Average Price (VWAP) bands. This indicator integrates the core concepts of VWAP with additional trend analysis features, making it a versatile tool for both range trading and trend-following strategies.
The VWAP bands are plotted based on the standard deviation multipliers, creating upper and lower bands around the VWAP. These bands serve as dynamic support and resistance levels. When the price approaches these bands, traders can anticipate potential reversals or continuations of the current trend. Additionally, the indicator provides visual cues for trend strength and potential trend changes, helping traders make informed decisions in various market conditions.
🔶 Settings
Source (Data Source): The data source for VWAP calculations. The default setting is the typical price (HLC3), which is the average of the high, low, and close prices.
Length: The number of bars used in the VWAP calculation. This determines the lookback period for the indicator.
Standard Deviation Multiplier: The multiplier applied to the standard deviation to create the primary upper and lower VWAP bands. This setting controls the distance of the bands from the VWAP.
Secondary Standard Deviation Multiplier: The multiplier applied to the standard deviation to create the secondary upper and lower VWAP bands, providing additional levels of support and resistance.
Display Trend: A toggle to enable or disable the display of the trend analysis feature. When enabled, the indicator highlights trend strength and potential trend changes.
Display Trend Crossovers: A toggle to enable or disable the display of trend crossover signals. When enabled, the indicator plots shapes to indicate where trend switches are likely occurring.
🔶 Calculations
The calculations behind the "VWAP Bands " indicator begin with determining the Volume Weighted Average Price (VWAP), which provides a comprehensive view of the average price of an asset, weighted by trading volume. This gives a more accurate representation of the asset's true average price over a specified period.
The first step in this process involves summing the trading volume over a chosen period, typically represented by the length parameter. Simultaneously, the product of the price (usually an average of the high, low, and close prices) and the trading volume is calculated and summed. By dividing this cumulative price-volume product by the total volume, we obtain the VWAP value. This VWAP serves as the central anchor around which the price action oscillates.
To enhance the utility of VWAP, we introduce standard deviation calculations. Standard deviation measures the extent of price dispersion from the VWAP, providing insight into price volatility. By calculating the variance (which involves the squared deviations of price) and then taking its square root, we derive the standard deviation. This helps in understanding how far prices typically stray from the VWAP.
With the VWAP and standard deviation in hand, we then establish upper and lower bands by adding and subtracting multiples of the standard deviation from the VWAP. These bands act as dynamic support and resistance levels, adapting to changes in market volatility. The primary bands, set by the first standard deviation multiplier, are augmented by secondary bands defined by a larger multiplier, offering additional layers of potential support and resistance.
It also integrates trend analysis, highlighting areas where the price action suggests a strong or weak trend. This is achieved by overlaying colored zones above and below the bands, indicating the strength and direction of the trend. When the price crosses these bands, it signals potential trend changes, aiding traders in making timely decisions.
🔶 Disclaimer
The "VWAP Bands " indicator is provided for educational and informational purposes only. It is not intended as financial advice and should not be construed as such.
Trading involves significant risk and may not be suitable for all investors. Before using this indicator or making any investment decisions, it is important to conduct thorough research and consider your financial situation.
Market Structures + ZigZag [TradingFinder] CHoCH/BOS - MSS/MSB🟣 Introduction
🔵 Market Structure
Grasping market structure entails examining market behavior. Essentially, market structure refers to the formation and progression of the market within its trends.
Market structures are generally fractal and nested, leading us to classify them into internal (minor) and external (major) structures. There are several definitions of market structure, with differing perspectives such as Smart Money and ICT offering their own interpretations.
🔵 Zig Zag
The Zigzag indicator is a lagging tool that identifies points on a price chart where significant changes occur compared to the previous wave. By connecting these points, it helps traders detect trends.
This indicator minimizes random price fluctuations, aiming to clarify the primary price trend.
Pivots are points on a price chart where the direction changes. Also known as reversal points, pivots form when supply and demand forces overpower one another.
There are various types of technical analysis pivots, which can be divided into two categories: minor pivots and major pivots, each with distinct significance in analysis.
Major Pivot : These pivots signify substantial changes in the chart's direction and occur at the end of trends. Analysts focusing on primary analysis prioritize major pivot points. In fact, most technical analysis tools are evaluated and based on major pivots.
Minor Pivot : These pivots highlight smaller, subsidiary points and directions, appearing at the end of corrections. Analysts who focus on minor pivots represent small trends. It's important to note that minor pivots are not suitable for use in primary technical tools.
Identifying Minor and Major Pivots :
Minor pivots are formed between two major pivots and do not break the opposing major pivot. (Internal Pivot)
Major pivots are those that either successfully break the opposing pivot or move beyond the previous pivot of the same type. (External Pivot)
🟣 How to Use
🔵 Identifying Break of Structure (BOS)
In a given trend, such as a downtrend, a Break of Structure occurs when the price drops below the previous low and forms a new low (LL). In an uptrend, a BOS (MSB) happens when the price rises and exceeds the last high.
To confirm a trend, at least one BOS is required. The break above or below the previous high or low must be validated by the closing of at least one candle beyond that level.
🔵 Identifying Change of Character (CHOCH)
Change of Character (CHOCH) is an essential concept in market structure analysis, indicating a trend change. In other words, a trend concludes with a CHOCH (MSS). For example, in a downtrend, the price declines with BOS.
While BOS highlights the trend's strength, a CHOCH occurs when the price rises and surpasses the last high, signaling a transition from a downtrend to an uptrend.
This does not imply immediately entering a buy trade; instead, it is prudent to wait for a BOS in the upward direction to confirm the uptrend.
Unlike BOS, confirming a CHOCH does not require a candle to close; simply breaking above or below the previous high or low with the candle's wick is sufficient. The following examples illustrate bearish and bullish CHOCH.
Terms :
Market Structure Shift = MSS
Market Structure Break = MSB
🔵 Zig Zag
Based on identifying pivots and drawing zigzag lines, you can have different uses of this indicator.
Including :
Identifying pivot types along with major and minor recognition.
Identifying internal and external breakouts.
Identifying support and resistance levels.
Identifying Elliott Waves.
Identifying classic patterns.
Identifying pivots with higher validity.
Identifying trends and range areas.
🟣 Settings
Pivot Period Market Structure and ZigZag Line: Using this input, you can determine the pivot period for identifying swings.
Through the settings, you can customize the display, visibility, and color of each line as desired.
ICT Propulsion Block [LuxAlgo]The ICT Propulsion Block indicator is meant to detect and highlight propulsion blocks, which are specific price structures introduced by the Inner Circle Trader (ICT).
Propulsion Blocks are essentially blocks located where prices interact with preceding order blocks. Traders often utilize them when analyzing price movements to identify potential turning points and market behavior or areas of interest in the market.
🔶 USAGE
An order block is a significant area on a price chart where there was a notable accumulation or distribution of orders, often identified by a strong move in price followed by a consolidation or sideways movement. Traders use order blocks to identify potential support or resistance levels.
A Propulsion Block, on the other hand, is a concept taught by the Inner Circle Trader (ICT) and refers to a specific type of order block that interacts with the preceding order block. Traders often analyze propulsion blocks to identify potential turning points and areas of interest in the market.
A mitigated order block refers to an order block that has been invalidated or nullified due to subsequent market movements or developments. It no longer holds the same significance or relevance in the current market context.
Let's explore a bearish order block and propulsion block scenario commonly utilized by ICT traders in their trading strategies.
🔶 SETTINGS
🔹 Order & Propulsion Blocks
Swing Detection Length: Lookback period used to detect swing points for creating order blocks and/or propulsion blocks.
Mitigation Price: Allows users to choose between the closing price or the candle's wick for mitigation.
Highlight Propulsion Block Signals: Highlights the propulsion block and its sentiment for easier identification and analysis.
Remove Unassociated Order Blocks: Eliminate order blocks that are not associated with any propulsion block.
Remove Mitigated Blocks: Eliminates mitigated order blocks and propulsion blocks along with their associated order blocks, streamlining the visualization for clearer analysis.
Most Recent Blocks: Activates processing of the specified number of most recent blocks according to the option. If not enabled, the script defaults to processing the last 125 occurrences.
🔹 Order & Propulsion Blocks Style
Bullish Order & Propulsion Blocks: Toggles the visibility of bullish order and propulsion blocks, along with color customization options.
Bearish Order & Propulsion Blocks: Toggles the visibility of bearish order and propulsion blocks, along with color customization options.
Block Labels: Toggles the visibility of order and propulsion block labels, and label size customization option.
🔶 RELATED SCRIPTS
Order-Blocks-Breaker-Blocks .
Anchored Monte Carlo Shuffled Projection [LuxAlgo]The Anchored Monte Carlo Shuffled Projection tool randomly simulates future price points based on historical bar movements made before a user-anchored point in time.
By anchoring our data and projections to a single point in time, users can better understand and reflect on how the price played out while taking into consideration our random simulations.
🔶 USAGE
After selecting the indicator to apply to the chart, you will be prompted to "Set the Anchor Point". Do so by clicking on the desired location on your chart, only time is used as the anchor point.
Note: To select a new anchor point when applied to the chart, click on the 'More' dropdown next to the indicator status bar (○○○), then select "Reset points...".
Alternate Method: You are also able to click and drag the vertical line that displays on the anchor point bar when the indicator is highlighted.
By randomly simulating bar movements, a range is developed of potential price action which could be utilized to locate future price development as well as potential support/resistance levels.
Performing numerous simulations and taking the average at each step will converge toward the result highlighted by the "Average Line", and can point out where the price might develop, assuming the trend and amount of volatility persist.
Current closing price + Sum of changes in the calculation window
This constraint will cause the simulations always to display an endpoint consistent with the current lookback's slope.
While this may be helpful to some traders, this indicator includes an option to produce a less biased range, as seen below:
🔶 DETAILS
The Anchored Monte Carlo Shuffled Projection tool creates simulations based on prices within a user-set lookback window originating at the specified anchor point. Simulations are done as follows:
Collect each bar's price changes in the user-set window.
Randomize the order of each change in the window.
Project the cumulative sum of the shuffled changes from the current closing price.
Collect data on each point along the way.
This is the process for the Default calculation; for the 'Randomize Direction' calculation, when added onto the front for every other change, the value is inverted, creating the randomized endpoints for each simulation.
The script contains each simulation's data for that bar, with a maximum of 1000 simulations.
To get a glimpse behind the scenes, each simulation (up to 99) can be viewed using the 'Visualize Simulations' Options, as seen below.
Because the script holds the full simulation data, the script can also calculate this data, such as standard deviations.
In this script the Standard deviation lines are the average of all standard deviations across the vertical data groups, this provides a singular value that can be displayed a distance away from the simulation center line.
🔶 SETTINGS
Lookback: Sets the number of Bars to include in calculations.
Simulation Count: Sets the number of randomized simulations to calculate. (Max 1000)
Randomize Direction: See Details Above. Creates a more 'Normalized' Distribution
Visualize Simulations: See Details Above. Turns on Visualizations, and colors are randomly generated. Visualized max does not cap the calculated max. If 1000 simulations are used, the data will be from 1000 simulations, however, only the last 99 simulations will be visualized.
🔹 Standard Deviations
Standard Deviation Multiplier: Sets the multiplier to use for the Standard Deviation distance away from the center line.
🔹 Style
Extend Lines: Extends the Simulated Value Lines into the future for further reference and analysis.
Weighted Moving Range with Trend Signals (WMR-TS)Weighted Moving Range with Trend Signals (WMR-TS)
Technical analysis involves analyzing statistical trends from trading activity , such as price movement and volume, to make trading decisions. Technical indicators are mathematical calculations based on the price, volume, or open interest of a security or contract. They are used by traders to analyze price movements and predict future market behavior. The WMR-TS indicator combines weighted moving averages and range calculations to identify key trading levels and generate buy/sell signals. It dynamically adjusts to market conditions, offering traders insights into potential support, resistance, and trend reversal points. Key levels are color-coded for quick interpretation. It utilizes weighted moving averages (WMA) and range calculations to determine these levels, making it a robust tool for both trending and ranging markets.
SUMMARY
Parameters :
WMA Length : Determines the length for the primary weighted moving average.
Highest High Length : Sets the period for calculating the highest high.
Lowest Low Length : Sets the period for calculating the lowest low.
Range Corrector : Adjusts the range calculation slightly for fine-tuning.
Top Level : Multiplier for determining the top level from the calculated range.
Bottom Level : Multiplier for determining the bottom level from the calculated range.
Levels Visibility : Sets how many recent bars will display the levels.
Trading Zones :
Short Area : Highlighted zone indicating potential shorting opportunities.
Long Area : Highlighted zone indicating potential buying opportunities.
The Levels :
Wave (Yellow): Midpoint of the calculated range, adjusted by WMA.
Top Level (Red): Calculated upper boundary of the trading range.
Sell Level (Pink): Intermediate sell level.
Resistance Level (Magenta): Immediate resistance level.
Support Level (Cyan): Immediate support level.
Buy Level (Light Green): Intermediate buy level.
Bottom Level (Dark Green): Calculated lower boundary of the trading range.
Interpreting the Signals :
Hammer Signal : Red circles above bars indicate potential sell signals.
Rocket Signal : Green circles below bars indicate potential buy signals.
KEY CONCEPTS
Highest High and Lowest Low :
These values represent the highest high ( HH ) and lowest low ( LL ) over a specified number of periods.
Support Level :
This is the lower boundary of the trading range. It is a price level where demand is strong enough to prevent the price from falling further. As the price approaches the support level, it is likely to bounce back up.
Resistance Level :
This is the upper boundary of the trading range. It is a price level where supply is strong enough to prevent the price from rising further. As the price approaches the resistance level, it is likely to pull back down.
THE USE OF MULTIPLIERS :
The script uses several multipliers to adjust and fine-tune the calculated support and resistance levels, as well as to control the range and sensitivity of these levels. Here is a detailed explanation of these multipliers and their purpose:
Range Corrector : This multiplier adjusts the calculated high ( H ) and low ( L ) levels, adding flexibility to how these levels are positioned relative to the highest high and lowest low. It ranges from -1 to 1 , with a default value of 0 . The use of positive values increase the range, making the calculated levels further apart. Thus, using negative values decrease the range, bringing the calculated levels closer together.
Top Level : This multiplier adjusts the distance of the top level from the calculated high H ) level. It fluctuates from 0 to 2 , with a default value of 0.382 . Higher values will push the top level further above the high level, while lower values will bring it closer.
Bottom Level : This multiplier adjusts the distance of the bottom support level from the calculated low support level. Ranging from 0 to 2, with a default value of 0.214, the higher values will push the bottom level further below the low level, while lower values will bring it closer.
The script plots the support and resistance levels on the chart, allowing traders to visualize the trading range. Color-coded zones are used to indicate areas where buying or selling opportunities may arise based on the current price relative to the trading range. A trading range refers to the area between a price's support and resistance levels over a specific period of time. Within this range, the price of the security fluctuates up and down but does not break out above the resistance or below the support. Support and resistance levels to make trading decisions. Buying near the support level and selling near the resistance level is a common strategy. When the price moves above the resistance level, it is called a breakout . A breakout often indicates that the price may start a new upward trend . Conversely, when the price moves below the support level, it is called a breakdown . A breakdown often indicates that the price may start a new downward trend . By understanding and utilizing trading ranges, traders can make more informed decisions, optimize their trading strategies, and manage risk more effectively.
Understanding Moving Averages
A moving average (MA) is a widely used technical indicator that helps smooth out price data by creating a constantly updated average price. The main purpose of using a moving average is to identify the direction of the trend and to reduce the "noise" of random price fluctuations. The Weighted Moving Average ( WMA ) assigns different weights to each period, with more recent periods typically given more weight. A 10-day WMA might give the most recent day a weight of 10, the second most recent day a weight of 9, and so on. It is useful for traders who want to emphasize recent price data more than older data. When the price is above the moving average, it suggests an Bullish trend . A Bearish Trend is expected to take place when the price is below the moving average. Understanding the price reactions around these levels can be used to make trading decisions.
APPLYING CONCEPTS
Support and Resistance Calculations in the Script :
The script calculates dynamic support and resistance levels using weighted moving averages ( WMA s) and the highest high and lowest low over specified periods. Buy ( Rocket ) and sell ( Hammer ) signals are generated based on the crossing of the price with calculated top and bottom levels.These signals help traders identify potential entry and exit points within the trading range .
Weighted Moving Average (WMA) Application in the Script
This script calculates a special trendWMA using the close price that helps in creating a more dynamic moving average that considers both high and low price actions. This modified WMA is used in conjunction with highest high and lowest low values over specified periods to calculate dynamic support and resistance levels.
Explanation of the Levels in the Script
By understanding these levels, traders can make more informed decisions about where to enter and exit trades, manage risk, and anticipate potential market movements. The script incorporates several key levels levels that traders can use to better anticipate price movements and make more informed trading decisions. Leveraging the principles of Fibonacci retracement ratios ( 23.6%, 38.2%, 50%, 61.8%, and 100% ) to identify key support and resistance zones can also serve for gauging the overall market sentiment.
Top Level and Sell Leve l: Used to identify potential resistance zones where the price may reverse or pause.
Support Level and Buy Level : Used to identify potential support zones where the price may bounce.
Upper and Lower Pivot Values : Serve as intermediate levels for possible price retracements or extensions within the trading range.
Wave Level : Indicates the central trend direction, which can be useful for gauging the overall market sentiment.
Alerts are a crucial part of the script as they notify traders of potential buy and sell signals based on predefined conditions. There are two main alerts: one for a " Hammer " signal (sell condition) and one for a " Rocket " signal (buy condition).
Adjust the input parameters to fit your trading style and the specific asset being analyzed. Shorter lengths may be more responsive to price changes but can produce more false signals , while longer lengths provide smoother signals but may lag . Always backtest the indicator on historical data to understand its behavior and performance. Also remember that different markets may require different parameter settings for optimal performance.
Keep in mind that by nature like all moving averages, WMAs lag behind price action. This means that signals may be delayed. The indicator performs differently in various market conditions. Always consider the overall market context when interpreting signals.
Adjusting parameters like the range corrector and visibility can help tailor the indicator to specific market conditions or trading strategies, improving its effectiveness. The script uses the calculated levels to plot lines and fill zones on the chart, helping traders visualize potential support, resistance, and trend reversal points. The use of multipliers allows for dynamic adjustment of these levels, making the indicator flexible and adaptable to different market conditions.
I think traders can make more informed decisions about where to enter and exit trades, manage risk, and anticipate potential market movements following this code. Stay safe and always remember that market is always changing. Use this tool if you want, please stay informed and plan safe trades,
D.
Dynamic Gann Levels [XrayTrades]This indicator dynamically captures the highest and lowest points visible on the chart and calculates Gann Support and Resistance Levels. The inputs are detailed below.
Why create this indicator?
There is no other indicator with the same functionality on TradingView.
These calculations are time-consuming; the speed at which this indicator calculates any number of rotations and degrees and visually displays them on the chart is invaluable to me, and hopefully others who use/perform these calculations.
Works on any time frame:
Year, month, week, day, etc. Smaller timeframes (intraday) for higher prices may require adjusting the y-axis of the chart after the calculation of levels due to the nature of squaring numbers.
Inputs:
Resistance: Up (from pivot low) - This toggles on/off levels calculated from the lowest point visible on the chart’s current view.
Support: Down (from pivot high) - This toggles on/off levels calculated from the highest point visible on the chart’s current view.
360 - Toggles on/off the levels of full rotations (360 degrees) from price
180 - Toggles on/off the levels of half rotations (180 degrees) from price
90 - Toggles on/off the levels of quarter rotations (90 degrees) from price
45 - Toggles on/off the levels of eighth rotations (45 degrees) from price
Full Rotations Visible - The number of rotations to be displayed on the chart
How to use this indicator:
Adjust chart window to change the highs and lows.
Select the degrees, direction, and number of rotations in the indicator settings.
The colored values beside the indicator represent the values (high and low) used in generating the Gann levels. Should the cursor be on the chart, ensure it is to the right of the high and low pivots, as this is dynamic in TradingView depending upon cursor location. Note: This is only for the user to know which value(s) are used; cursor position does not impact actual calculations and levels displayed.
The levels will be drawn to the right of the most recent price, labeled with the degrees and direction as well as the price value at the level.
About the calculations:
These calculations are derived from the Natural Square Calculator of Gann Theory, also known as the Square of Nines.
Details:
Take the square root of the selected value (lowest and or highest point).
Add (for up or subtract for down) 0.25 for every 45 degrees of rotation to the desired calculation.
Square this. Round to two decimal places.
Ex: Low of 100. Calculate Gann resistance level for 360 degrees. (√(100)+2)² = 144.
Ex: High of 100. Calculate Gann support level for 180 degrees. (√(100)-1)² = 81.
ZigZag Smart Trend [TradingFinder] Major & Minor Structured Wave🔵 Introduction
🟣 Zigzag
Zigzag is a lagging indicator; this indicator identifies points on a price chart that have more significant changes than its previous wave and then by connecting these lines to each other, it assists traders in trend detection.
This indicator reduces random price fluctuations and attempts to make the primary price trend clearer.
🟣 Pivot
Pivots are points where the price chart changes direction. Pivots, also called reversal points, form when supply and demand forces dominate one another.
Different types of technical analysis pivots can be introduced into two categories, minor pivots, and major pivots, each of which has a specific meaning in analysis.
Major Pivot : These pivots actually indicate major changes in the direction of the chart and occur at the end of trends. Analysts seeking to reach the primary analysis focus more on major pivot points. In fact, most technical analysis tools are examined and determined based on major pivots.
Minor Pivot : This type of pivot focuses more on small and subsidiary points and directions. Therefore, it occurs at the end of corrections. Analysts focusing on minor pivots represent small trends, and it should be noted that minor pivots are not suitable for use in primary technical tools.
How to identify minor and major pivots :
Minor pivots are pivots formed between two major pivots and fail to break the opposite major pivot.
Major pivots are pivots that have either successfully broken the opposite pivot or have moved more than the previous pivot of the same type.
🔵 How to use
Based on identifying pivots and drawing zigzag lines, you can have various uses for this indicator.
Identifying support and resistance levels :
Identifying Elliott Waves :
Identifying classic patterns :
Identifying pivots with higher validity :
Identifying internal and external breakouts :
Identifying trends and range areas :
Identifying pivot types along with major and minor recognition :
MHH : Major Higher High
MLH : Major Lower High
MLL : Major Lower Low
MHL : Major Higher Low
mHH : Minor Higher High
mLH : Minor Lower High
mLL : Minor Lower Low
mHL : Minor Higher Low
🔵 Settings
Pivot Period Zigzag Line : Using this input, you can determine the pivot period for identifying zigzag swings.
Show Zigzag Line : To show or not to show the zigzag line.
Zigzag Line Color : Change the color of the zigzag line.
Zigzag Line Style : Change the Style of the zigzag line.
Zigzag Line Width : Change the Width of the zigzag line.
Show Label : To show or not to show Pivot Type.
Color Label : Change the color of the Pivot Type Label.
Rolling Point of Control (POC) [AlgoAlpha]Enhance your trading decisions with the Rolling Point of Control (POC) Indicator designed by AlgoAlpha! This powerful tool displays a dynamic Point of Control based on volume or price profiles directly on your chart, providing a vivid depiction of dominant price levels according to historical data. 🌟📈
🚀 Key Features:
Profile Type Selection: Choose between Volume Profile and Price Profile to best suit your analysis needs.
Adjustable Lookback Period: Modify the lookback period to consider more or less historical data for your profile.
Customizable Resolution and Scale: Tailor the resolution and horizontal scale of the profile for precision and clarity.
Trend Analysis Tools: Enable trend analysis with the option to display a weighted moving average of the POC.
Color-Coded Feedback: Utilize color gradients to quickly identify bullish and bearish conditions relative to the POC.
Interactive Visuals: Dynamic rendering of profiles and alerts for crossing events enhances visual feedback and responsiveness.
Multiple Customization Options: Smooth the POC line, toggle profile and fill visibility, and choose custom colors for various elements.
🖥️ How to Use:
🛠 Add the Indicator:
Add the indicator to favorites and customize settings like profile type, lookback period, and resolution to fit your trading style.
📊 Market Analysis:
Monitor the POC line for significant price levels. Use the histogram to understand price distributions and locate major market pivots.
🔔 Alerts Setup:
Enable alerts for price crossing over or under the POC, as well as for trend changes, to stay ahead of market movements without constant chart monitoring.
🛠️ How It Works:
The Rolling POC indicator dynamically calculates the Point of Control either based on volume or price within a user-defined lookback period. It plots a histogram (profile) that highlights the level at which the most trading activity has occurred, helping to identify key support and resistance levels.
Basic Logic Overview:
- Data Compilation: Gathers high, low, and volume (if volume profile selected) data within the lookback period.
- Histogram Calculation: Divides the price range into bins (as specified by resolution), counting hits in each bin to find the most frequented price level.
- POC Identification: The price level with the highest concentration of hits (or volume) is marked as the POC.
- Trend MA (Optional): If enabled, the indicator plots a moving average of the POC for trend analysis.
By integrating the Rolling Point of Control into your charting toolkit, you can significantly enhance your market analysis and potentially increase the accuracy of your trading decisions. Whether you're day trading or looking at longer time frames, this indicator offers a detailed, customizable perspective on market dynamics. 🌍💹
FVG Positioning Average [LuxAlgo]The FVG Positioning Average indicator aims to uncover potential price levels of interest by averaging together recent Fair Value Gap (FVG) initiation levels.
This indicator is grounded in the theory that significant buying or selling activity is the primary catalyst for creating FVGs.
By averaging together the prices where each FVG initiated, we may potentially reveal where major participants are positioned.
🔶 USAGE
By analyzing the average price of bullish or bearish FVGs, users can identify potential support or resistance areas where the larger participants may re-enter or defend their positions.
These areas could be used to adjust entries and exits or assist with risk management such as take-profit or stop-loss levels.
The indicator displays 2 lines, the Bull Average and the Bear Average.
The Bull Average is only displayed when the price holds above the bull Average.
The Bear Average is only displayed when the price holds below the bear average.
When only one average is displayed alone, this level is seen as support or resistance, it is anticipated that this level would be defended for the current trend to stay valid.
When both averages are displayed simultaneously, it can be interpreted as one side attempting to take over the trend.
The movements and reactions during these attempts can be analyzed to provide helpful information about where the price might be headed.
Possible outcomes:
Trend Confirmation/Re-Entry (From Weak Attempts)
Trend Reversal (Creating Support or Resistance)
Consolidation (Oscillating between/around Bull & Bear Averages)
🔶 DETAILS
🔹 Lookback Types
This indicator includes 2 lookback types:
Bar Count: Uses Bars to determine what data to include. This type can be utilized for averages that are more locally relevant to the current chart data.
FVG Count: Uses a specific # of FVGs for calculations. This type can be utilized for a continuous & consistent view, typically relevant with longer term analysis.
Note: When using bar lookback, if no data is in range, no lines will be displayed.
Below is an example of the 'FVG Count' Display.
🔹 Initiation Levels
Initiation Levels are the specific price points where each FVG starts, these are the last points the price was traded at before creating the gap.
Bull Initiation Level: Lowest Point (Bottom) of FVG
Bear Initiation Level: Highest Point (Top) of FVG
🔹 FVG Display
Each FVG being used for the current calculation of averages is displayed on the chart for reference.
Note: If you prefer to not display the FVGs, they can be toggled off in the settings, uncheck "Show FVGs on Chart".
🔶 Settings
FVG Lookback: As mentioned above in the 'Lookback Types', this sets the number of FVGs or Bars to use for consideration.
Lookback Type: As also mentioned above in 'Lookback Types', this determines the method of lookback to be used.
ATR Multiplier: The FVGs are required to have a Greater Width than (ATR * Multiplier) in order to be used for calculations. This allows you to focus on the data being considered if needed.
ZigZag Library [TradingFinder]🔵 Introduction
The "Zig Zag" indicator is an analytical tool that emerges from pricing changes. Essentially, it connects consecutive high and low points in an oscillatory manner. This method helps decipher price changes and can also be useful in identifying traditional patterns.
By sifting through partial price changes, "Zig Zag" can effectively pinpoint price fluctuations within defined time intervals.
🔵 Key Features
1. Drawing the Zig Zag based on Pivot points :
The algorithm is based on pivots that operate consecutively and alternately (switch between high and low swing). In this way, zigzag lines are connected from a swing high to a swing low and from a swing low to a swing high.
Also, with a very low probability, it is possible to have both low pivots and high pivots in one candle. In these cases, the algorithm tries to make the best decision to make the most suitable choice.
You can control what period these decisions are based on through the "PiPe" parameter.
2.Naming and labeling each pivot based on its position as "Higher High" (HH), "Lower Low" (LL), "Higher Low" (HL), and "Lower High" (LH).
Additionally, classic patterns such as HH, LH, LL, and HL can be recognized. All traders analyzing financial markets using classic patterns and Elliot Waves can benefit from the "zigzag" indicator to facilitate their analysis.
" HH ": When the price is higher than the previous peak (Higher High).
" HL ": When the price is higher than the previous low (Higher Low).
" LH ": When the price is lower than the previous peak (Lower High).
" LL ": When the price is lower than the previous low (Lower Low).
🔵 How to Use
First, you can add the library to your code as shown in the example below.
import TFlab/ZigZagLibrary_TradingFinder/1 as ZZ
Function "ZigZag" Parameters :
🟣 Logical Parameters
1. HIGH : You should place the "high" value here. High is a float variable.
2. LOW : You should place the "low" value here. Low is a float variable.
3. BAR_INDEX : You should place the "bar_index" value here. Bar_index is an integer variable.
4. PiPe : The desired pivot period for plotting Zig Zag is placed in this parameter. For example, if you intend to draw a Zig Zag with a Swing Period of 5, you should input 5.
PiPe is an integer variable.
Important :
Apart from the "PiPe" indicator, which is part of the customization capabilities of this indicator, you can create a multi-time frame mode for the indicator using 3 parameters "High", "Low" and "BAR_INDEX". In this way, instead of the data of the current time frame, use the data of other time frames.
Note that it is better to use the current time frame data, because using the multi-time frame mode is associated with challenges that may cause bugs in your code.
🟣 Setting Parameters
5. SHOW_LINE : It's a boolean variable. When true, the Zig Zag line is displayed, and when false, the Zig Zag line display is disabled.
6. STYLE_LINE : In this variable, you can determine the style of the Zig Zag line. You can input one of the 3 options: line.style_solid, line.style_dotted, line.style_dashed. STYLE_LINE is a constant string variable.
7. COLOR_LINE : This variable takes the input of the line color.
8. WIDTH_LINE : The input for this variable is a number from 1 to 3, which is used to adjust the thickness of the line that draws the Zig Zag. WIDTH_LINE is an integer variable.
9. SHOW_LABEL : It's a boolean variable. When true, labels are displayed, and when false, label display is disabled.
10. COLOR_LABEL : The color of the labels is set in this variable.
11. SIZE_LABEL : The size of the labels is set in this variable. You should input one of the following options: size.auto, size.tiny, size.small, size.normal, size.large, size.huge.
12. Show_Support : It's a boolean variable that, when true, plots the last support line, and when false, disables its plotting.
13. Show_Resistance : It's a boolean variable that, when true, plots the last resistance line, and when false, disables its plotting.
Suggestion :
You can use the following code snippet to import Zig Zag into your code for time efficiency.
//import Library
import TFlab/ZigZagLibrary_TradingFinder/1 as ZZ
// Input and Setting
// Zig Zag Line
ShZ = input.bool(true , 'Show Zig Zag Line', group = 'Zig Zag') //Show Zig Zag
PPZ = input.int(5 ,'Pivot Period Zig Zag Line' , group = 'Zig Zag') //Pivot Period Zig Zag
ZLS = input.string(line.style_dashed , 'Zig Zag Line Style' , options = , group = 'Zig Zag' )
//Zig Zag Line Style
ZLC = input.color(color.rgb(0, 0, 0) , 'Zig Zag Line Color' , group = 'Zig Zag') //Zig Zag Line Color
ZLW = input.int(1 , 'Zig Zag Line Width' , group = 'Zig Zag')//Zig Zag Line Width
// Label
ShL = input.bool(true , 'Label', group = 'Label') //Show Label
LC = input.color(color.rgb(0, 0, 0) , 'Label Color' , group = 'Label')//Label Color
LS = input.string(size.tiny , 'Label size' , options = , group = 'Label' )//Label size
Show_Support= input.bool(false, 'Show Last Support',
tooltip = 'Last Support' , group = 'Support and Resistance')
Show_Resistance = input.bool(false, 'Show Last Resistance',
tooltip = 'Last Resistance' , group = 'Support and Resistance')
//Call Function
ZZ.ZigZag(high ,low ,bar_index ,PPZ , ShZ ,ZLS , ZLC, ZLW ,ShL , LC , LS , Show_Support , Show_Resistance )
On Balance Volume WaveIntroducing an Enhanced Version of the Classic OBV Indicator
The On-Balance Volume (OBV) indicator is a well-known tool among traders, celebrated for its ability to track momentum by using volume flow to predict changes in stock price. For an overview of the original OBV indicator, please visit: www.tradingview.com .
What Makes This Version Different?
This enhanced version of the OBV indicator incorporates advanced signal processing techniques to bring new depth to market analysis. Here's what sets it apart:
Standard Deviation Bands and EMAs: These additions to the OBV offer a visual representation of significant market movements—highlighting major pumps and dumps, as well as identifying potential support and resistance levels.
Color-Coded Insights: The standard deviation bands utilize color coding based on signal processing principles. This feature becomes increasingly useful the more you zoom out, making it easier to observe and interpret market waves.
Market Maker Activity: By examining fluctuations within the standard deviation bands, traders can gauge when Market Makers are actively maneuvering to establish their long and short positions, often at the expense of retail traders.
EMA Support and Resistance: The embedded Exponential Moving Averages (EMAs) serve as dynamic support and resistance levels. Analyzing these can help traders determine the continuing strength of a market move, whether bullish or bearish.
Visual Guide to the Basics
For a clearer understanding of what this enhanced indicator can show, please refer to the image below:
And in addition to all the above one can detect relevant W and M structures way easier with this indicator ;)
FVG Detector [TradingFinder] Fair Value Gap-Imbalance-Mitigated🔵 Introduction
When the market makes a strong move in the form of a "Marubozu" or "Spike" candlestick and consecutive candles move without a retracement, the maximum place where a "FVG" or "Fair Value Gap" is created.
🔵 Definition
To describe this precisely, whenever a move occurs where the current candle does not cover the body of the previous and subsequent candles, a fair value gap is created.
Important : The significant point is that, because there is no equilibrium between buyers and sellers in these conditions, and market power is in the hands of buyers or sellers, the market is likely to move towards these areas.
An example of "FVG" in a price increase where we expect buying on the return to it.
An example of "FVG" in a downward trend where the market will move towards it in a downward direction.
🔵 How to Use
🟣 Bearish FVG
In a downward trend, "orange boxes" are drawn, which are the same and can act as "support" zones along the downward path, and we expect the price to continue its downward trend on return.
🟣 Bullish FVG
In an upward trend, "green boxes" are drawn, which are . They act exactly like support in the upward path, and we expect the price to continue its upward trend on return.
🟣 Auxiliary Definitions
Imbalance : As mentioned above, market power is in the hands of one of the two sides, buyers or sellers, and a non-equilibrium zone is created. It may be completed in whole or in part in subsequent price movements.
Mitigated : If the price returns to the "FVG" area and fills it, we call it "Mitigated," and most "pending" or "profit and loss limits" positions are executed. We will not have a specific reaction on the return of the price.
🔵 Settings
Very Aggressive : In addition to the initial condition, another condition is added. For an upward FVG, the maximum price of the last candle should be larger than the middle candle's maximum price. Similarly, for a downward FVG, the minimum price of the last candle should be smaller than the middle candle's minimum price. In this mode, a very small number of FVGs are eliminated.
Aggressive : In addition to the conditions of the Very Aggressive mode, in this mode, the size of the middle candle should not be small. In this mode, a larger number of FVGs are eliminated.
Defensive : In addition to the conditions of the Very Aggressive mode, in this mode, the size of the middle candle should be relatively large, and the majority of it should be made up of the body. Additionally, to identify upward FVGs, the second and third candles must be positive, and to identify downward FVGs, the second and third candles must be negative. In this mode, a large number of FVGs are eliminated, leaving only those with suitable quality.
Very Defensive : In addition to the conditions of the Defensive mode, the first and third candles should not be very small-bodied doji candles. In this mode, the majority of FVGs are filtered out, leaving only the highest quality ones.
🔵 Features
Show Demand FVG : Displays demand-related boxes, which can be "off" and "on."
Show Supply FVG : Displays supply-related boxes along the path, and can be turned "off" and "on."
🔵 Indicator Advantages
In this indicator, I have implemented 4 types of "filters" that allow you to select one based on the trading symbol, timeframe, etc. From "Very Aggressive" to "Very Defensive" mode, it is possible to select.
In most indicators, all FVGs are displayed, and the chart becomes full of lines. But this unique feature allows the trader to manage the drawing of boxes.
VWAP LEVELS [PRO]32 VWAP levels with labels and a table to help you identify quickly where current price is in relation to your favorite VWAP pivot levels. To help reduce cognitive load, 4 colors are used to show you where price is in relation to a VWAP level as well as the strength of that respective level. Ultimately, VWAP can be an invaluable source of support and resistance; in other words you'll often see price bounce off of a level (whether price is increasing or decreasing) once or multiple times and that could be an indication of a price's direction. Another way that you could utilize this indicator is to use it in confluence with other popular signals, such as an EMA crossover. Many traders will wait till a bar's close on the 5m or 10m time frame above a VWAP level (developing 1D VWAP would be a popular choice) before making a decision on a potential trade especially if price is rising above the 1D VWAP *and* there's been a recent 100 EMA cross UP of the 200 EMA. These are 2 bullish signals that you could look for before possibly entering in to a trade.
I've made this indicator extremely customizable:
⚡Each VWAP level has 2 labels: 1 "at level" and 1 "at right", each label and price can be disabled
⚡Each VWAP label has its own input for label padding. The "at right" label padding input allows you to zoom in and out of a chart without the labels moving along their respective axis. However, the "at level" label padding input doesn't work the same way once you move the label out of the "0" input. The label will move slightly when you zoom in and out
⚡Both "current" and "previous" VWAP levels have their own plot style that can be changed from circles, crosses and lines
⚡Significant figures input allows you to round a price up or down
⚡A price line that allows you to identify where price is in relation to a VWAP level
⚡A table that's color coded the same way as the labels. The labels and table cells change to 1 of 4 colors when "OC Check Mode" is enabled. This theory examines if the VWAP from the Open is above or below the VWAP from Close and if price is above or below normal VWAP (HLC3). This way we have 4 states:
Red = Strong Downtrend
Light Red = Weak Downtrend
Light = Weak Uptrend
Green = Strong Uptrend
Something to keep in mind: At the start of a new year, week or month, some levels will converge and they'll eventually diverge slowly or quickly depending on the level and/or time frame. You could add a few labels "at level" to show which levels are converging at the time. Since we're at the beginning of a new year, you'll see current month, 2 month, 3 month etc converge in to one level.
🙏Thanks to (c)MartinWeb for the inspiration behind this indicator.
🙏Thanks to (c)SimpleCryptoLife for the libraries and code to help create the labels.
Re-Anchoring Fibo LevelsThe " Re-Anchoring Fibo Levels " offers a dynamic and systematic approach on how to use Fibonacci retracements. The resistance levels are based on the all-time high and the subsequent lowest low. The support levels are based on the lowest low after the all-time high and the following highest high. This method provides traders with automatically updated support and resistance levels based on current significant pivot points.
How It Works
Resistance Levels: The levels are calculated based on the current all-time high and the following lowest low. This range is multiplied with the defined Fibonacci ratios and the levels are plotted.
Support Levels: The support levels are calculated based on the lowest low and highest high after and below the current all-time high. The range between those to pivot points is multiplied with the defined Fibonacci ratios and the levels are plotted.
How To Use
By comparing current prices to dynamically adjusted Fibonacci levels, traders can gain insights into the strength and potential direction of market trends and are also presented with potentially significant levels that can function either as resistance or support.
Zigzag Tails [Trendoscope®] 🎲 Introducing Zigzag Tails Indicator by Trendoscope.
The Zigzag Tails Indicator, a groundbreaking tool from Trendoscope, redefines technical analysis by seamlessly integrating anchored VWAPs (Volume Weighted Average Prices) and Average Price calculations with Zigzag pivot points. This advanced indicator recalculates Average Price or VWAP from one Zigzag pivot to the next, offering unparalleled insights into market movements.
🎯 Innovative Design
Each Zigzag pivot can feature up to three distinct tails, corresponding to the high, low, and close prices of each candle. Users have the flexibility to select between Average Price and VWAP for display on their charts. By default, the indicator plots all three tails, but individual tail visibility is customizable via the settings panel.
Average Price Mode: When selected, tails depict the average price across a specified number of bars.
VWAP Mode: In this mode, tails represent the VWAP, calculated for a given price over a set number of bars.
🎯 Dynamic Dotted Tail
The Zigzag Tails Indicator features dotted tails that extend from the last Zigzag pivot to the current bar. These dotted tails dynamically adapt to market changes and are subject to repainting with the emergence of new Zigzag pivots.
When repainting is enabled, the dotted tails originate from the last unconfirmed Zigzag pivot, extending to the current bar. This setting offers a more immediate, albeit tentative, visual representation of market trends.
With repainting disabled, the dotted tails will be anchored from the last confirmed Zigzag pivot to the current bar, providing a more stable but slightly delayed market analysis.
Irrespective of the repaint option, the dotted dynamic tails is always expected to repaint.
🎯 Practical Applications
The Zigzag Tails Indicator provides more accurate support and resistance levels than traditional VWAP, rolling VWAP, or moving averages. Its precision makes it an invaluable tool for identifying trends, as well as potential trend continuations or reversals.
🛠 Indicator Settings
Zigzag Configuration:
Zigzag Length determines the loopback length for the foundational Zigzag calculation.
Number of Bars represent the calculation distance. This limitation is added to avoid runtime errors on lower timeframes. The calculations run through lots of loops. Hence, if it is run across too many bars, we may get timeout issues.
Repaint: Activating this will also display the last, unconfirmed Zigzag pivot. Since the last pivot is inherently tentative, it may repaint with the arrival of new bars. A pivot is confirmed only when a subsequent unconfirmed pivot emerges on the chart.
Tail Configuration
Tail Type: Choose between average and VWAP for the tail calculation. The average option plots a simple average, while the VWAP option calculates an anchored VWAP from pivot to pivot.
Display Options: Tailored display options for High, Low, Close prices, with customizable colors for each tail type.
Inspired by the ideas of @KioseffTrading's implementation of Zigzag Anchored VWAP
Machine Learning: STDEV Oscillator [YinYangAlgorithms]This Indicator aims to fill a gap within traditional Standard Deviation Analysis. Rather than its usual applications, this Indicator focuses on applying Standard Deviation within an Oscillator and likewise applying a Machine Learning approach to it. By doing so, we may hope to achieve an Adaptive Oscillator which can help display when the price is deviating from its standard movement. This Indicator may help display both when the price is Overbought or Underbought, and likewise, where the price may face Support and Resistance. The reason for this is that rather than simply plotting a Machine Learning Standard Deviation (STDEV), we instead create a High and a Low variant of STDEV, and then use its Highest and Lowest values calculated within another Deviation to create Deviation Zones. These zones may help to display these Support and Resistance locations; and likewise may help to show if the price is Overbought or Oversold based on its placement within these zones. This Oscillator may also help display Momentum when the High and/or Low STDEV crosses the midline (0). Lastly, this Oscillator may also be useful for seeing the spacing between the High and Low of the STDEV; large spacing may represent volatility within the STDEV which may be helpful for seeing when there is Momentum in the form of volatility.
Tutorial:
Above is an example of how this Indicator looks on BTC/USDT 1 Day. As you may see, when the price has parabolic movement, so does the STDEV. This is due to this price movement deviating from the mean of the data. Therefore when these parabolic movements occur, we create the Deviation Zones accordingly, in hopes that it may help to project future Support and Resistance locations as well as helping to display when the price is Overbought and Oversold.
If we zoom in a little bit, you may notice that the Support Zone (Blue) is smaller than the Resistance Zone (Orange). This is simply because during the last Bull Market there was more parabolic price deviation than there was during the Bear Market. You may see this if you refer to their values; the Resistance Zone goes to ~18k whereas the Support Zone is ~10.5k. This is completely normal and the way it is supposed to work. Due to the nature of how STDEV works, this Oscillator doesn’t use a 1:1 ratio and instead can develop and expand as exponential price action occurs.
The Neutral (0) line may also act as a Support and Resistance location. In the example above we can see how when the STDEV is below it, it acts as Resistance; and when it’s above it, it acts as Support.
This Neutral line may also provide us with insight as towards the momentum within the market and when it has shifted. When the STDEV is below the Neutral line, the market may be considered Bearish. When the STDEV is above the Neutral line, the market may be considered Bullish.
The Red Line represents the STDEV’s High and the Green Line represents the STDEV’s Low. When the STDEV’s High and Low get tight and close together, this may represent there is currently Low Volatility in the market. Low Volatility may cause consolidation to occur, however it also leaves room for expansion.
However, when the STDEV’s High and Low are quite spaced apart, this may represent High levels of Volatility in the market. This may mean the market is more prone to parabolic movements and expansion.
We will conclude our Tutorial here. Hopefully this has given you some insight into how applying Machine Learning to a High and Low STDEV then creating Deviation Zones based on it may help project when the Momentum of the Market is Bullish or Bearish; likewise when the price is Overbought or Oversold; and lastly where the price may face Support and Resistance in the form of STDEV.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Kernel Regression RibbonKernel Regression Ribbon is a flexible, visually pleasing trend identification tool. Plotting 8 different kernel regressions of different types and parameters allows the user to see where levels of support and resistance are being tested, retested and broken.
What’s Kernel Regression?
A statistical method for estimating the best fitting curve for a dataset, in this case, a time/price chart.
How’s Kernel Regression different from a Moving Average?
A Moving Average is basically a simple form of Kernel Regression, in that it uses a fixed (Retangular) Kernel function. In an MA, all data points are weighted equally over its length. However, a Kernel function reacts more to data points that are closer to the current point. This means it will adapt more quickly to changes in data than an MA. Due to this adaptability, Kernel functions often form part of Machine Learning.
Using this indicator:
Explore the default Regular mode first to get a feel for the inputs, which are more numerous than for MAs. Try out different settings, filters and intervals to get the best out of each kernel. Not all parameters are available for each KR. There are info tips to explain this in the menu, but I’ve also included handy, optional labels on the chart for each KR as a more accessible guide.
Once you know your way round the Regular mode, check out the Presets and start changing the parameters of each kernel to your liking in the “User KR1, KR2, … “ mode. Each kernel type has its strong and weak points. Blending different kernels is where this indicator comes into its own. Give your charts a funky shine!
This indicator does NOT repaint.
This script acknowledges, and hopefully showcases, the great work of @veryfid Kernel Regression Toolkit.
Re-Anchoring VWAP TripleThe Triple Re-Anchoring VWAP (Volume Weighted Average Price) indicator is a tool designed for traders seeking a deeper understanding of market trends and key price levels. This indicator dynamically recalibrates VWAP calculations based on significant market pivot points, offering a unique perspective on potential support and resistance levels.
Key Features:
Dynamic Re-anchoring at All-Time Highs (ATH) : The first layer of this indicator continuously tracks the all-time high and recalibrates the VWAP from each new ATH. This VWAP line, typically acting as a dynamic resistance level, offers insights into the overbought conditions and potential reversal zones.
Adaptive Re-anchoring to Post-ATH Lows : The second component of the indicator shifts focus to the market's reaction post-ATH. It identifies the lowest low following an ATH and re-anchors the VWAP calculation from this point. This VWAP line often serves as a dynamic support level, highlighting key areas where the market finds value after a significant high.
Re-anchoring to Highs After Post-ATH Lows : The third element of this tool takes adaptation one step further by tracking the highest high achieved after the lowest low post-ATH. This VWAP line can act as either support or resistance, providing a nuanced view of the market's valuation in the recovery phase or during consolidation after a significant low.
Applications:
Trend Confirmation and Reversal Signals : By comparing the price action relative to the dynamically anchored VWAP lines, traders can gauge the strength of the trend and anticipate potential reversals.
Entry and Exit Points : By highlighting significant support and resistance areas, it assists in determining optimal entry and exit points, particularly in swing trading and mean reversion strategies.
Enhanced Market Insight : The dynamic nature of the indicator, with its shifting anchor points, offers a refined understanding of market sentiment and valuation changes over time.
Why Triple Re-Anchoring VWAP?
Traditional VWAP tools offer a linear view, often missing out on the intricacies of market fluctuations. The Triple Re-Anchoring VWAP addresses this by providing a multi-faceted view of the market, adapting not just to daily price changes but pivoting around significant market events. Whether you're a day trader, swing trader, or long-term investor, this indicator adds depth to your market analysis, enabling more informed trading decisions.
Examples:
Absorbing System Support and ResistanceHello Traders :)
I am Only Fibonacci.
My purpose in coding this indicator was to detect support and resistance more easily.
What is the working principle of this indicator?
This tool detects pivot points.
If the length of the sell pin is higher than the length of the buy pin, it is considered as resistance.
It detects the formation according to the length of the pivot point and draws a line until this level is broken.
The main purpose is to add a new perspective to support and resistance detection and to prepare an educational code sequence.
The codes are open to everyone, you can develop as you wish.
In the settings you can choose whether you want to see the breakdowns, you can also choose whether the breakdowns will be with the wicks or the body.
func("RES")
func("SUP")
It is written in a functional way.
If you call "RES" inside the func method, it draws the resistors. If you throw a call other than "RES" it draws the supports.
The main concept here;
"RES" = Resistance
"SUP" = Support
S/R and Reversal BarsToday I'm proposing an idea to form S/R with a slightly different basic idea. This is a combination of CCI and candlestick study, and we will use this to mark possible reversal candles and possible S/R lines.
This is nothing complicated, I've used a basic CCI indicator with certain rules/system to mark S/R levels on the chart. (Have loaded traditional CCI indicator on bottom for comparison)
S/R levels are market as followed
Cross -
Lime = Support
Red = Resistance
Zero/Balance line - Yellow circles
The idea is to use this indicator to trade sideways market more successfully, in trending market this can be futile if you are not waiting for the break-out or breakdowns with confirmation.
Since this is based on CCI, it will give static result only when bar is closed, till then it will be susceptible for repaint. This is inherited nature from CCI readings on current bar. I could change this to only making reading on closed bar (historical bar), but that takes away from the uniqueness of this indicator in giving early indications.
This is a great tool for intraday scalping, but it does work on all timeframes, it's not bound by granularity.
This is for education purpose only.
Past success or seemingly positive results on published posts are not indication of future success.
Predictive Channels [LuxAlgo]The Predictive Channels indicator is a real-time estimate of a trend channel. The indicator returns 2 resistances, 2 supports, and an average line.
🔶 USAGE
The Predictive Channels attempt to find a real-time estimate of an underlying linear trend in the price, the returned supports/resistances are constructed from this estimate.
The area between the price and the estimated trend is also highlighted, with a green color when the price is above the estimated trend, indicating a bullish variation relative to the trend, and a red color indicating a bearish variation.
Price deviating significantly from an estimated trend will return new channels. The Factor setting controls the allowed distance between the price and the trend estimate, with higher values allowing for greater distances and less frequent channels.
The Slope setting will affect the steepness of the channels, with lower values returning steeper channels, this can cause the price to more quickly deviate from the estimated trend, increasing the frequency at which new channels are created.
🔶 SETTINGS
Factor: Multiplicative factor, determines the allowed distance between the price and an estimated trend before a new channel is constructed.
Slope: Controls the line steepness of the channels, with lower values returning steeper lines.
