Algo Market Structure (Nephew_Sam_)This indicator takes a different approach into reading market structure.
The key difference between this logic compared to the pivot logic is; we read highs and lows based on bullish and bearish candles. Ie:
Pivot method - highest/lowest point in previous and next X candles
Algo method - Bullish candle(s) followed by a bearish candle and vice versa
More explanation in each of the key feature below.
Here are all of the concepts and features included in the indicator:
Timeframe
- You can select the timeframe of the indicator (has to be higher or equal to the chart timeframe)
- Min option is the minimum timeframe to show the indicator. If you show daily structure on 1m chart, you can run into a timeout error so keep it close to the chart timeframe.
- Recommended timeframe for no bugs is the current chart timeframe.
Structure
The structure is calculated using a combination of candle patterns (ie. pivot top = Bullish x3-Bearish-Bullish) and marks out circle labels after a new HH or LL
Structure high = 1 or more consecutive bull candles followed by a bear candle
Structure low = 1 or more consecutive bear candles followed by a bull candle
Structure direction change = when the second previous H/L is taken out (TLQ)
ILQ - Inducement Liquidity concept
In a bearish example this is the most recent structure high.
TLQ
In a bearish example this is the second most recent structure high.
This is also what helps define our structure direction. If broken, the structure changes (bullish / bearish) and plots a bos line.
EPA - Efficient price action
When price returns back to previous structure point after bos. Similar to an ICT breaker.
Note: It might be a little, just a little buggy if you have set your indicator timeframe to higher than the chart timeframe.
Extremes Zones
The final zone to find a trade entry before a structural shift. These are wick of the TLQ candle. This is select the wick of the current timeframe candle even if indicator is set to higher timeframe.
MSU
Tiny arrow labels at the bottom of your chart. Plots the arrows when price is between an ILQ and TLQ
VTA
Valid trading range. This is when we get some sort of a structure pattern. Plots a box when price induces previous structure point and then breaks structure in the opposite direction. Here are the patterns:
Bull VTA - HH-LL-HH
Bear VTA - LL-HH-LL
Bull Strict VTA - LL-HH-LL-HH
Bear Strict VTA - HH-LL-HH-LL
Bar colors
Changes the bar color based on the structure to all green/red.
Note: for this to work, you will have to right click on the indicator, then under visual order select 'bring to front'
Table
This table plots the structure stats/data
1. If structure is bullish / bearish
2. If price is efficient or not
3. If there is an MSU
4. If price is inside a VTA
Disclaimer: This indicator is fully written from scratch by me, the idea behind the concepts come from AlgoHub material on Youtube. Do NOT use this code for reselling purposes and if anything is created using any part of this code, the source code should be public.
"pivot"に関するスクリプトを検索
Volume Breaker Blocks [UAlgo]The "Volume Breaker Blocks " indicator is designed to identify breaker blocks in the market based on volume and price action. It is a concept that emerges when an order block fails, leading to a change in market structure. It signifies a pivotal point where the market shifts direction, offering traders opportunities to enter trades based on anticipated trend continuation.
🔶 Key Features
Identifying Breaker Blocks: The indicator identifies breaker blocks by detecting pivot points in price action and corresponding volume spikes.
Breaker Block Sensitivity: Traders can adjust breaker block detection sensitivity, length to be used to find pivot points.
Mitigation Method (Close or Wick): Traders can choose between "Close" and "Wick" as the mitigation method. This choice determines whether the indicator considers closing prices or wicks in identifying breaker blocks. Selecting "Close" implies that breaker blocks will be considered broken when the closing price violates the block, while selecting "Wick" implies that the wick of the candle must violate the block for it to be considered broken.
Show Last X Breaker Blocks: Users can specify how many of the most recent breaker blocks to display on the chart.
Visualization: Volume breaker blocks are visually represented on the chart with customizable colors and text labels, allowing for easy interpretation of market conditions. Each breaker block is accompanied by informational text, including whether it's bullish or bearish and the corresponding volume, aiding traders in understanding the significance of each block.
🔶 Disclaimer
Educational Purpose: The "Volume Breaker Blocks " indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to engage in trading activities.
Risk of Loss: Trading in financial markets involves inherent risks, including the risk of loss of capital. Users should carefully consider their financial situation, risk tolerance, and investment objectives before engaging in trading activities.
Accuracy Not Guaranteed: While the indicator aims to identify potential reversal points in the market, its accuracy and effectiveness may vary. Users should conduct thorough testing and analysis before relying solely on the indicator for trading decisions.
Past Performance: Past performance is not indicative of future results. Historical data and backtesting results may not accurately reflect actual market conditions or future performance.
Fibonacci Archer Box [ChartPrime]Fibonacci Archer Box (ChartPrime) is a full featured Fibonacci box indicator that automatically plots based on pivot points. This indicator plots retracement levels, time lines, fan lines, and angles. Each one of these features are fully customizable with the ability to disable individual features. A unique aspect to this implementation is the ability to set targets based on retracement levels and time zones. This is set to 0.618 by default but you can pick any Fibonacci zone you like. Also included are markings that show you when Fibonacci levels are met or exceeded. These moments are plotted on the chart as colored dots that can be enabled or disabled. Along with these markings are crosses that can be shown when targets are hit. Both of these markings are colored with the related Fibonacci level colors.
When there is a zig-zag, this indicator will test to see if the zig-zag meets the criteria set up by the user before plotting a new Fibonacci box. You can pick from either higher highs or lower highs for bearish patterns, and higher lows or lower lows for bullish patterns. Both patterns can be set to use both when finding new boxes if you want to make it more sensitive. You also have the option to filter based on minimum and maximum size. If the box isn't within the selected size range, it will simply be ignored. The pivot levels can be configured to use either candle wicks or candle bodies. By default this is configured to use candle wick with a lookforward of 5 and lookback of 10.
We have included alerts for Fibonacci level crosses, Fibonacci time crosses, and target hits. All alerts are found in the add alert section built into tradingview to make alert creation as easy as possible. Each alert is labeled with their correct names to make navigation simple.
W.D. Gann, a renowned figure in the world of trading and market analysis, is often questioned for his use of Fibonacci levels in his strategies. However, evidence points to the fact that Gann did not directly employ Fibonacci price levels in his work. Instead, Gann had his unique approach, dividing price ranges into thirds, eighths, and other fractions, which, although somewhat aligning with Fibonacci levels, are not exact matches. It is clear that Gann was familiar with Fibonacci and the golden ratio, as references to them appear in his recommended reading list and some of his writings. Despite this awareness, Gann chose not to incorporate Fibonacci levels explicitly in his methodologies, preferring instead to use his divisions of price and time. Notably, Gann's emphasis on the 50% level—a marker not associated with Fibonacci numbers—further illustrates his departure from Fibonacci usage. This level, despite its popularity among some Fibonacci enthusiasts, does not stem from Fibonacci's sequence. This is why we opted to call this indicator Fibonacci Archer Box instead of a Gann Box as we didn't feel like it was appropriate.
In summary, the Fibonacci Archer Box (ChartPrime) is a tool that incorporates Fibonacci retracements and projections with an automated pivot point-based plotting system. It allows for customization across various features including retracement levels, timelines, fan lines, and angles, and integrates visual cues for level crosses and target hits. While it acknowledges the methodologies of W.D. Gann, it distinctively utilizes Fibonacci techniques, providing a straightforward tool for market analysis. We hope you enjoy using this indicator as much as we enjoyed making it!
Enjoy
Liquidity LevelsThe "Liquidity Levels" indicator on TradingView is designed to identify and highlight liquidity levels in the market. This indicator is based on pivot highs and lows with an adjustable offset to adjust the importance and length of the identified levels.
The strength of this indicator lies in its ability to highlight changes in liquidity levels, which can be crucial for traders. By marking pivot highs and lows, potential areas of high liquidity are highlighted, which can indicate where significant market movements or reversal points may occur.
The flexibility of whether the calculation is based on the closing price or the high/low prices allows for customisable analysis. The visual representation of liquidity levels by lines makes it easier to identify and monitor these key areas in the chart, which can provide additional value for traders.
series_collectionLibrary "series_collection"
A personal collection of commonly used series types like moving averages that are supported directly by
the pinescript library ('ALMA', 'DEMA', 'EMA', 'HMA', 'RMA', 'SMA', 'SWMA', 'VWMA', 'WMA'), highest and lowest source,
median and pivots. One single function (with overloads) that can be configured easily by the user input and can be
used as a core piece of functionality for many user cases. This library was created to abstract away and re-use this
commonly used functionality in my "Two MA Signal Indicator" script and the "Template Trailing Strategy" script. Both
of them use the "two_ma_logic" for defining entry and exit signals. While this piece of work does not contain any
novel mathematical expressions and just adds a convinient (and configurable) way to do things, I hope that might add
value to other scripts as well and future projects.
cust_series(length, seriesType, source)
cust_series - Calculate the custom series of the given source for the given length and type
Parameters:
length (simple int) : - The length of the custom series
seriesType (simple string) : - The type of the custom series
source (float) : - The source of the values
Returns: - The resulting value of the calculations of the custom series
cust_series(length, seriesType, source)
cust_series - Calculate the custom series of the given source for the given length and type
Parameters:
length (simple float) : - The length of the custom series (ceiled)
seriesType (simple string) : - The type of the custom series
source (float) : - The source of the values
Returns: - The resulting value of the calculations of the custom series
Intraday Fibonacci Levels [Gorb]Welcome to the Intraday Fibonacci Levels indicator, a dynamic and customizable tool designed for traders who incorporate Fibonacci retracements and extensions into their technical analysis. This indicator focuses on intraday price action, allowing you to select a specific candle from any trading session and visualize crucial Fibonacci levels derived from its high and low prices.
Features:
Candle Selection for Fibonacci Analysis: Select any candle based on its time to plot Fibonacci levels, giving you control over the period of analysis.
Customizable .236 and .618 Fibonacci Levels: Plot and customize the .236 and .618 Fibonacci retracement and extension levels. Adjust color and line style for each level to fit your chart preferences.
User-Friendly Interface: Easy-to-use input fields for selecting the candle time and configuring Fibonacci settings. Intuitive toggle options to display or hide specific Fibonacci levels.
Dynamic Updating: The indicator updates in real-time as new price data is received, ensuring you have the latest Fibonacci levels on your chart.
Usage Case:
This indicator is ideal for day traders and technical analysts who utilize Fibonacci tools to identify potential support and resistance levels, trend reversals, or continuation patterns. Whether you are analyzing a high-impact news event candle or a significant pivot point in the trading day, this indicator helps bring clarity to your Fibonacci-based trading strategy.
Guidelines for Usage:
Use the indicator settings to select the candle time and configure your desired Fibonacci levels. You can choose any time you want, in order to use premarket candles you need to enable electronic hours on your chart to have levels plot from pre/post.
These auto plotted levels can act as pivot points or points of support and resistance for traders to make informed trading decisions near these levels. Analyze the plotted Fibonacci levels in conjunction with other technical indicators or price action patterns for informed trading decisions.
Conclusion:
This indicator is a versatile and essential tool for traders who rely on Fibonacci analysis as part of their trading arsenal. By offering the flexibility to analyze specific candles and customize Fibonacci levels, this indicator empowers you to make more informed trading decisions. Its user-friendly design and real-time updating capabilities ensure that you have access to accurate and relevant Fibonacci data at any moment of the trading day.
RISK DISCLAIMER
All content, tools, scripts & education provided by Monstanzer or Gorb Algo are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
Nitin Swing TradingThis is a CPR which indicates pivot points based on monthly price action.
The Orange line acts as a resistance area, blue lines act as pivot point/CPR and green one is support.
One can study retrospective chart to analyse how market has respected these Support and Resistance levels.
A guide on how to trade using this indicator?
1. If you see the resistance is broken after multiple attempt - We can Go Long
2.If you see price going down below CPR, We can Go Short
3.If you see price taking support at support level - We can Go Long.
Risk reward should always be 1:1 then gradually increase it to 1:2 & 1:3
It is advised to consult with your financial advisor before taking any trade just based on any indicator. You have to manage risk before entering any trade.
ICT Donchian Smart Money Structure (Expo)█ Concept Overview
The Inner Circle Trader (ICT) methodology is focused on understanding the actions and implications of the so-called "smart money" - large institutions and professional traders who often influence market movements. Key to this is the concept of market structure and how it can provide insights into potential price moves.
Over time, however, there has been a notable shift in how some traders interpret and apply this methodology. Initially, it was designed with a focus on the fractal nature of markets. Fractals are recurring patterns in price action that are self-similar across different time scales, providing a nuanced and dynamic understanding of market structure.
However, as the ICT methodology has grown in popularity, there has been a drift away from this fractal-based perspective. Instead, many traders have started to focus more on pivot points as their primary tool for understanding market structure.
Pivot points provide static levels of potential support and resistance. While they can be useful in some contexts, relying heavily on them could provide a skewed perspective of market structure. They offer a static, backward-looking view that may not accurately reflect real-time changes in market sentiment or the dynamic nature of markets.
This shift from a fractal-based perspective to a pivot point perspective has significant implications. It can lead traders to misinterpret market structure and potentially make incorrect trading decisions.
To highlight this issue, you've developed a Donchian Structure indicator that mirrors the use of pivot points. The Donchian Channels are formed by the highest high and the lowest low over a certain period, providing another representation of potential market extremes. The fact that the Donchian Structure indicator produces the same results as pivot points underscores the inherent limitations of relying too heavily on these tools.
While the Donchian Structure indicator or pivot points can be useful tools, they should not replace the original, fractal-based perspective of the ICT methodology. These tools can provide a broad overview of market structure but may not capture the intricate dynamics and real-time changes that a fractal-based approach can offer.
It's essential for traders to understand these differences and to apply these tools correctly within the broader context of the ICT methodology and the Smart Money Concept Structure. A well-rounded approach that incorporates fractals, along with other tools and forms of analysis, is likely to provide a more accurate and comprehensive understanding of market structure.
█ Smart Money Concept - Misunderstandings
The Smart Money Concept is a popular concept among traders, and it's based on the idea that the "smart money" - typically large institutional investors, market makers, and professional traders - have superior knowledge or information, and their actions can provide valuable insight for other traders.
One of the biggest misunderstandings with this concept is the belief that tracking smart money activity can guarantee profitable trading.
█ Here are a few common misconceptions:
Following Smart Money Equals Guaranteed Success: Many traders believe that if they can follow the smart money, they will be successful. However, tracking the activity of large institutional investors and other professionals isn't easy, as they use complex strategies, have access to information not available to the public, and often intentionally hide their moves to prevent others from detecting their strategies.
Instantaneous Reaction and Results: Another misconception is that market movements will reflect smart money actions immediately. However, large institutions often slowly accumulate or distribute positions over time to avoid moving the market drastically. As a result, their actions might not produce an immediate noticeable effect on the market.
Smart Money Always Wins: It's not accurate to assume that smart money always makes the right decisions. Even the most experienced institutional investors and professional traders make mistakes, misjudge market conditions, or are affected by unpredictable events.
Smart Money Activity is Transparent: Understanding what constitutes smart money activity can be quite challenging. There are many indicators and metrics that traders use to try and track smart money, such as the COT (Commitments of Traders) reports, Level II market data, block trades, etc. However, these can be difficult to interpret correctly and are often misleading.
Assuming Uniformity Among Smart Money: 'Smart Money' is not a monolithic entity. Different institutional investors and professional traders have different strategies, risk tolerances, and investment horizons. What might be a good trade for a long-term institutional investor might not be a good trade for a short-term professional trader, and vice versa.
█ Market Structure
The Smart Money Concept Structure deals with the interpretation of price action that forms the market structure, focusing on understanding key shifts or changes in the market that may indicate where 'smart money' (large institutional investors and professional traders) might be moving in the market.
█ Three common concepts in this regard are Change of Character (CHoCH), and Shift in Market Structure (SMS), Break of Structure (BMS/BoS).
Change of Character (CHoCH): This refers to a noticeable change in the behavior of price movement, which could suggest that a shift in the market might be about to occur. This might be signaled by a sudden increase in volatility, a break of a trendline, or a change in volume, among other things.
Shift in Market Structure (SMS): This is when the overall structure of the market changes, suggesting a potential new trend. It usually involves a sequence of lower highs and lower lows for a downtrend, or higher highs and higher lows for an uptrend.
Break of Structure (BMS/BoS): This is when a previously defined trend or pattern in the price structure is broken, which may suggest a trend continuation.
A key component of this approach is the use of fractals, which are repeating patterns in price action that can give insights into potential market reversals. They appear at all scales of a price chart, reflecting the self-similar nature of markets.
█ Market Structure - Misunderstandings
One of the biggest misunderstandings about the ICT approach is the over-reliance or incorrect application of pivot points. Pivot points are a popular tool among traders due to their simplicity and easy-to-understand nature. However, when it comes to the Smart Money Concept and trying to follow the steps of professional traders or large institutions, relying heavily on pivot points can create misconceptions and lead to confusion. Here's why:
Delayed and Static Information: Pivot points are inherently backward-looking because they're calculated based on the previous period's data. As such, they may not reflect real-time market dynamics or sudden changes in market sentiment. Furthermore, they present a static view of market structure, delineating pre-defined levels of support and resistance. This static nature can be misleading because markets are fundamentally dynamic and constantly changing due to countless variables.
Inadequate Representation of Market Complexity: Markets are influenced by a myriad of factors, including economic indicators, geopolitical events, institutional actions, and market sentiment, among others. Relying on pivot points alone for reading market structure oversimplifies this complexity and can lead to a myopic understanding of market dynamics.
False Signals and Misinterpretations: Pivot points can often give false signals, especially in volatile markets. Prices might react to these levels temporarily but then continue in the original direction, leading to potential misinterpretation of market structure and sentiment. Also, a trader might wrongly perceive a break of a pivot point as a significant market event, when in fact, it could be due to random price fluctuations or temporary volatility.
Over-simplification: Viewing market structure only through the lens of pivot points simplifies the market to static levels of support and resistance, which can lead to misinterpretation of market dynamics. For instance, a trader might view a break of a pivot point as a definite sign of a trend, when it could just be a temporary price spike.
Ignoring the Fractal Nature of Markets: In the context of the Smart Money Concept Structure, understanding the fractal nature of markets is crucial. Fractals are self-similar patterns that repeat at all scales and provide a more dynamic and nuanced understanding of market structure. They can help traders identify shifts in market sentiment or direction in real-time, providing more relevant and timely information compared to pivot points.
The key takeaway here is not that pivot points should be entirely avoided or that they're useless. They can provide valuable insights and serve as a useful tool in a trader's toolbox when used correctly. However, they should not be the sole or primary method for understanding the market structure, especially in the context of the Smart Money Concept Structure.
█ Fractals
Instead, traders should aim for a comprehensive understanding of markets that incorporates a range of tools and concepts, including but not limited to fractals, order flow, volume analysis, fundamental analysis, and, yes, even pivot points. Fractals offer a more dynamic and nuanced view of the market. They reflect the recursive nature of markets and can provide valuable insights into potential market reversals. Because they appear at all scales of a price chart, they can provide a more holistic and real-time understanding of market structure.
In contrast, the Smart Money Concept Structure, focusing on fractals and comprehensive market analysis, aims to capture a more holistic and real-time view of the market. Fractals, being self-similar patterns that repeat at different scales, offer a dynamic understanding of market structure. As a result, they can help to identify shifts in market sentiment or direction as they happen, providing a more detailed and timely perspective.
Furthermore, a comprehensive market analysis would consider a broader set of factors, including order flow, volume analysis, and fundamental analysis, which could provide additional insights into 'smart money' actions.
█ Donchian Structure
Donchian Channels are a type of indicator used in technical analysis to identify potential price breakouts and trends, and they may also serve as a tool for understanding market structure. The channels are formed by taking the highest high and the lowest low over a certain number of periods, creating an envelope of price action.
Donchian Channels (or pivot points) can be useful tools for providing a general view of market structure, and they may not capture the intricate dynamics associated with the Smart Money Concept Structure. A more nuanced approach, centered on real-time fractals and a comprehensive analysis of various market factors, offers a more accurate understanding of 'smart money' actions and market structure.
█ Here is why Donchian Structure may be misleading:
Lack of Nuance: Donchian Channels, like pivot points, provide a simplified view of market structure. They don't take into account the nuanced behaviors of price action or the complex dynamics between buyers and sellers that can be critical in the Smart Money Concept Structure.
Limited Insights into 'Smart Money' Actions: While Donchian Channels can highlight potential breakout points and trends, they don't necessarily provide insights into the actions of 'smart money'. These large institutional traders often use sophisticated strategies that can't be easily inferred from price action alone.
█ Indicator Overview
We have built this Donchian Structure indicator to show that it returns the same results as using pivot points. The Donchian Structure indicator can be a useful tool for market analysis. However, it should not be seen as a direct replacement or equivalent to the original Smart Money concept, nor should any indicator based on pivot points. The indicator highlights the importance of understanding what kind of trading tools we use and how they can affect our decisions.
The Donchian Structure Indicator displays CHoCH, SMS, BoS/BMS, as well as premium and discount areas. This indicator plots everything in real-time and allows for easy backtesting on any market and timeframe. A unique candle coloring has been added to make it more engaging and visually appealing when identifying new trading setups and strategies. This candle coloring is "leading," meaning it can signal a structural change before it actually happens, giving traders ample time to plan their next trade accordingly.
█ How to use
The indicator is great for traders who want to simplify their view on the market structure and easily backtest Smart Money Concept Strategies. The added candle coloring function serves as a heads-up for structure change or can be used as trend confirmation. This new candle coloring feature can generate many new Smart Money Concepts strategies.
█ Features
Market Structure
The market structure is based on the Donchian channel, to which we have added what we call 'Structure Response'. This addition makes the indicator more useful, especially in trending markets. The core concept involves traders buying at a discount and selling or shorting at a premium, depending on the order flow. Structure response enables traders to determine the order flow more clearly. Consequently, more trading opportunities will appear in trending markets.
Structure Candles
Structure Candles highlight the current order flow and are significantly more responsive to structural changes. They can provide traders with a heads-up before a break in structure occurs
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
4H RangeThis script visualizes certain key values based on a 4-hour timeframe of the selected market on the chart. These values include the High, Mid, and Low price levels during each 4-hour period.
These levels can be helpful to identify inside range price action, chop, and consolidation. They can sometimes act as pivots and can be a great reference for potential entries and exits if price continues to hold the same range.
Here's a step-by-step overview of what this indicator does:
1. Inputs: At the beginning of the script, users are allowed to customize some inputs:
Choose the color of lines and labels.
Decide whether to show labels on the chart.
Choose the size of labels ("tiny", "small", "normal", or "large").
Choose whether to display price values in labels.
Set the number of bars to offset the labels to the right.
Set a threshold for the number of ticks that triggers a new calculation of high, mid, and low values.
* Tick settings may need to be increased on equity charts as one tick is usually equal to one cent.
For example, if you want to clear the range when there is a close one point/one dollar above or below the range high/low then on ES
that would be 4 ticks but one whole point on AAPL would be 100 ticks. 100 ticks on an equity chart may or may not be ideal due to
different % change of 100 ticks might be too excessive depending on the price per share.
So be aware that user preferred thresholds can vary greatly depending on which chart you're using.
2. Retrieving Price Data: The script retrieves the high, low, and closing price for every 4-hour period for the current market.
The script also calculates the mid-price of each 4-hour period (the average of the high and low prices).
3. Line Drawing: At the start of the script (first run), it draws three lines (high, mid, and low) at the levels corresponding to the high,
mid, and low prices. Users can also change transparency settings on historical lines to view them. Default setting for historical lines
is for them to be hidden.
4. Updating Lines and Labels: For each subsequent 4-hour period, the script checks whether the close price of the period has gone
beyond a certain threshold (set by user input) above the previous high or below the previous low. If it has, the script deletes the
previous lines and labels, draws new lines at the new high, mid, and low levels, and creates new labels (if the user has opted to
show labels).
5. Displaying Values in the Data Window: In addition to the visual representation on the chart, the script also plots the high, mid, and
low prices. These plotted values appear in the Data Window of TradingView, allowing users to see the exact price levels even when
they're not directly labeled on the chart.
6. Updating Lines and Labels Position: At the end of each period, the script moves the lines and labels (if they're shown) to the right,
keeping them aligned with the current period.
Please note: This script operates based on a 4-hour timeframe, regardless of the timeframe selected on the chart. If a shorter timeframe is selected on the chart, the lines and labels will appear to extend across multiple bars because they represent 4-hour price levels. If a longer timeframe is selected, the lines and labels may not accurately represent high, mid, and low levels within that longer timeframe.
RSI Trendlines with BreakoutsA pivot-based breakout indicator that attempts to provide traders with a visual aid for finding breakouts on the RSI. Similar to how we use trendlines on our charts, using them on the Relative Strength Index can also give us a sense of direction in the markets.
This script uses its own pivot-based system that checks for real-time swing levels and triggers a new pivot event after every dip and nth bars. The breakout alerts that are given were not designed to be taken as signals since their purpose is to provide an extra bit of confluence. Because of this, I added no other conditions that try to make the alerts "perfect", but instead, print every breakout that is detected. Despite stating this, I did happen to add a condition that checks the difference in RSI and the breakout value, but that's as far as it'll go.
There are alerts built-in to the script, along with adjustable repainting options.
🔳 Settings
Lookback Range: Lookback period to trigger a new pivot point when conditions are met.
RSI Difference: The difference between the current RSI value and the breakout value. How much higher in value should the current RSI be compared to the breakout value in order to detect a breakout?
RSI Settings
Styling Options
🔳 Repaint Options
On: Allows repainting
Off - Bar Confirmation: Prevents repainting and generates alerts when the bar closes. (1 candle later)
🔳 How it Works
Before a trendline is drawn, the script retrieves the slope between the previous pivot point and the current. Then it adds or subtracts the slope x amount of times (based on the lookback range) from the current pivot value until the current x-axis is reached. By doing this we can get a trendline that will detect a breakout accurately.
The result
When using the RSI Difference condition, the script will print breakouts whenever the condition is true, because of this dotted lines were added to track where the alert was triggered.
🔳 Alerts
ICT Liquidty H/L [MK]indicator shows liquidity levels at pivot highs and lows on the chart timeframe. Levels are drawn as a horizontal line up to the last active bar. Once a level has been passed through, the level is highlighted. The liquidity level will remain highlighted until a pre determined amount of bars have closed after the level was passed. These liquidity levels can be used as targets for trades, or as potential reversal points. Liquidity (or resting orders) at key pivot points form a key part of the ICT trading system. Users can configure the indicator to display the untapped liquidity levels, or they can be completely hidden until they are passed through.
Zig Zag Stochastic (ZZS)The "Zig Zag Stochastic" indicator is an indicator that uses a combination of zigzag pivot points and exponential smoothing to calculate a stochastic-like oscillator.
The indicator starts by identifying pivot high and pivot low points in the price data using the Zigzag indicator. These pivot points are then used to calculate the scale_price, which is a ratio of the current close price to the range between the current pivot high and pivot low.
Next, the scale_price is smoothed using exponential smoothing. The user can input the desired length of the smoothing period, with a default value of 14. If the user sets the smoothing length to 0, the indicator will automatically calculate the optimal smoothing length using the MAMA period calculation from the Dominant Cycle Estimators library.
The smoothed scale_price is then used to calculate two lines: the K-line and the D-line, both of which are also smoothed using exponential smoothing. The K-line is the main oscillator line and is similar to the %K line in a traditional stochastic oscillator. The D-line is a signal line, similar to the %D line in a traditional stochastic oscillator.
The indicator plots the smoothed scale_price, the K-line, and the D-line. Additionally, it includes horizontal lines at the 80 and 20 levels, and fills the area between them to help identify overbought and oversold conditions.
RSI & BB QQE Mod (highlight)This script is a combination of the RSI, QQE and BB
Here is an explanation on how I combined them, and how they are used:
- RSI (Relative Strength Index)
- Display a smoothed version of the RSI to identify "oversold" and "overbought" market phases
- Used to calculate a QQE
- QQE (Quantitative Qualitative Estimation)
- Used to identify trend direction and trend strength
- Used to set a basis for the BB
- BB (Bollinger Bands)
- Used with QQE as a basis to determine a relative definition of "high RSI" and "low RSI"
- Used with QQE as a basis to determine the volatility of the RSI at a given moment
- Used to predict pivot points
Here are the main signals:
- When "RSI Smoothed" line above the Upper BB then "RSI Smoothed" line turns green
- Also , display green background color highlight
- Also , and if "RSI Smoothed" is above the overbought line then display a second green background color highlight
- When "RSI Smoothed" line bellow the Lower BB then "RSI Smoothed" line turns red
- Also , display red background color highlight
- Also , and if "RSI Smoothed" is bellow the oversold line then display a second red background color highlight
A tool codded to be aesthetically pleasing and VERY customisable:
- Designed for both light theme and dark theme users
- Value can be easily modified in the settings
- Colors can be easily swapped in the settings
- Opacity of "fill" & "bgcolor" regrouped as a single input
A tool codded to be easy to read and to learn from:
- Sources and inspirations all listed within the script
- Structure easily identifiable (to understand with little to no effort how the script works)
Notes :
- This script is lagging, because of that I do recommend using it on relatively large timeframe
- This script is OpenSource, feel free to reuse it, but if so please remember to include a link to my script in your sources
- This script is not a magical tool, use at your own risk
SMA_EMA_CPR_PivotThis Script can do multiple jobs in single indicator.
Like -:
Plot 3 SMA as per your inputs.
Plot 3 EMA as per your inputs.
Plot CPR Levels.
Plot Pivot Levels.
Plot Previous Day High Low.
Indicator can used in Intraday stock trading, Positional Trading and options trading.
Please Enjoy.
SMA_EMA_CPR_PivotThis Script can do multiple jobs in single indicator.
Like -:
Plot 3 SMA as per your inputs.
Plot 3 EMA as per your inputs.
Plot CPR Levels.
Plot Pivot Levels.
Plot Previous Day High Low.
Indicator can used in Intraday stock trading, Positional Trading and options trading.
Please Enjoy.
Mark LevelsMark Levels is marking liquidity pools by drawing lines on their pivots and labelling them so that you can instantly detect them on your realtime chart
It supports:
- marking previous and current day lows and highs
- marking previous and current week lows and highs
- marking previous and current month lows and highs
- marking equal lows and highs
technically it re-builds them on the last bar or as soon as new realtime bar is updated. it looks with 1k bars back to find higher timeframe ranges and find lows and highs there
Adjustments:
- changing the line style of the group
- changing the lines color and the labels on the groups
- currently pools are split on 2 groups Period Liquidity and Equal Pivots Liquidity.
