Double Simple Moving AverageThe Double Simple moving average is an indicator developed to help traders identify dynamic levels of support and resistance as well as determine current trend direction.
This indicator shows both an SMA calculated on highs and one calculated on lows. In addition to that, it plots the deviation bands based on the space between the two main lines.
The gradient color between the two main lines can be used to determine the volumetric pressure and confirmation of the current trend.
Volume
MONEY ZONEA volume profile is an advanced charting tool that displays the traded volume at different price levels over a specific period. It helps you visualize where the majority of trading activity has occurred.
This indicator is a Market Profiling tool used to analyse the Point of Control (POC) and Value Area (VAH/VAL) on the daily, weekly and monthly timeframes. It also optionally displays historical Value Areas to help find confluence with past data.
The Point of Control describes the price level where the most volume was traded. A Naked Point of Control (also called a Virgin Point of Control) is a previous POC that has not been traded.
The Value Area is a range of prices where the majority of trading volume took place on the prior trading day. In specific, this area is the range where 70% of the prior day’s volume happened. The value area is approximately one standard deviation above and below the average highest volume price. With this knowledge, there are specific probabilities of market behavior we can understand to digest the value area. The value area gives us an idea of where the smart money is playing ball and where the institutions are guiding the market. From this data, we can derive intra-day strategies that capitalize on market behavior.
🔹 Point of Control (PoC)
Point of Control (POC) – The price level for the time period with the highest traded volume
🔹 Value Area (VA)
Value Area (VA) – The range of price levels in which the specified percentage of all volume was traded during the time period.
Ironman [Decentrader]Ironman
What is it? how it does it? And how to use it:
i) Ironman is a multifaceted strategy builder, which uses coloured candles which represent certain customisable inputs being in confluence with one another and the set scenario.
ii) There are 7 customised technical indicators which can be input as a basis for the analytical review.
iii) Determine a primary indicator which dictates a bullish or bearish trend (and colour) and then optionally add up to 6 other indicators to be required to be in confluence which adds another colour to be represented.
An example might be two moving averages crossing as the main trend determination. The primary determinant is dictated as the trend being “bullish or bearish” and the added confluence adds an additional layer being “very bullish or very bearish”
iv) Users select which conditions they wish to enter and exit trades on using the Bullish / Very Bullish and Bearish / Very Bearish settings. This can be combined with other timeframes.
v) The selected inputs for each indicator will show in a table contained in the bottom right-hand corner. Active indicators within the system will be highlighted.
vi) Ironman is built to include various take profit and stop loss options such as trailing stops, and fixed percentage targets which can be included in the strategy. Different timeframes can be used to determine the stop if users wish to do so.
vii) Users can require that there is also confluence with a differing time period or choose long and short-only options which can be dictated independently or based upon filtering criteria using moving averages.
viii) Using the strategy settings, users are also able to choose backtesting periods.
ix) Position label settings allow users to show various backtesting options such as profit by position, total backtesting results and results for the active position.
x) Ironman enables users to automate trading easily using the input boxes under Alert messages which also allows connection to a third party which can conduct execution. Always make sure to thoroughly test the strategy if it is being automated.
xi) To get the best out of Ironman, build up a strategy for the timeframe and asset you are looking at and back-test outcomes as variables are layered in. Ensure to backtest over a suitable length of time.
xii) When optimising input variables, it can sometimes visually assist in having the underlying inputs on the screen via the standard indicators.
xiii) There are many boxes of information in the input variables, which explain how to use each part. Users can also add features such as a marker showing on the chart where all indicators are bullish/bearish, or where RSI is overbought / over sold.
xiv) Users can further customise the style of the tool under the style tab in the indicator settings.
Gorb DNAIntroduction:
Gorb DNA is a versatile indicator using classic technical analysis components such as moving averages, stochastic oscillator, and histogram blending call/put flow analysis with our proprietary DNA algorithm. This indicator is designed to provide traders with useful market direction, volume, and momentum change visual cues.
Overview:
The Gorb DNA Indicator isn't just another momentum tool; it's a complex integration of innovative market analysis techniques.
By combining moving averages, stochastic oscillator, with proprietary algorithms, this indicator offers a multi-layered view of market trends, by merging call/put flow analysis with traditional market flow assessment.
This is designed for all kinds of traders, using a simple method to deliver visual changes in flow, volume, and momentum.
Core Features: Call/Put Flow & DNA
Call/Put Flow Analysis: This component examines the strength of market buying and selling pressures. It analyzes call (buying) and put (selling) flows using price range movements, providing insights smoothed over a defined period for analysis of market sentiment.
DNA Algorithm: A central feature of this indicator, the DNA algorithm utilizes a specialized moving average and oscillator technique to discern market trends. It presents an innovative approach, calculating the difference between bullish and bearish indicators to offer a detailed analysis of market momentum.
Visualization and Color Coding: The indicator employs a color-coded system for ease of interpretation, with distinct colors indicating different market conditions: white for upward/bullish movement and purple for downward/bearish movement. This feature translating complex data into a visual format that is simple to understand.
How Call/Put Flow Works:
Moving averages are used with volume and candlestick highs/lows over a specific range to help determine the overall flow. It then plots a colored line area that looks like a colored wave using just two colors to provide traders with a visual of the current market flow. This can help traders identify changes in sentiment with simple color cues.
How DNA Works:
A stochastic oscillator is used to measure the current price level relative to its price over a specific range period to analyze the momentum for the two DNA strands. Additionally moving averages are used to confirm trend and identify any divergences relative to the momentum. This is then plotted as two lines(DNA Strands) following the same color scheme as Call/Put Flow. When momentum is picking up in a specific direction, the lines will change colors and cross each other, this gives a visual of momentum now being fully on one side until it starts to change colors and flip that direction.
Custom Algorithm Elements:
Gorb DNA isn't just common tools combined into one indicator. It includes proprietary algorithmic elements tailored to enhance technical analysis and timing. These are the reasons what set this indicator apart from common momentum, sentiment, and volume methods.
We recommend experimenting with these features to choose what best suits your trading style.
Settings:
All skill-level friendly presets, easy to enable features with one-click
Call Flow: allows the user to plot a colored area that looks like waves showing increases/decreases in bullish volume (not to be followed blindly)
Put Flow: allows the user to plot a colored area that looks like waves showing increases/decreases in bearish volume (not to be followed blindly)
DNA Strand 1: allows the user to plot one of the algorithm lines to visualize momentum direction (not to be followed blindly)
DNA Strand 2: allows the user to plot one of the algorithm lines to visualize momentum direction (not to be followed blindly)
DNA Strength: allows the user to a histogram displaying momentum volume bars in the background
Flow Threshold: allows users to plot a dotted line to identify when call/put flow is now above average flow range
All colors are changeable for the user to customize to their liking
Call/Put Flow & DNA Demonstration
In the image below, we can see a basic illustration of how these core features function.
As stated above, call/put flow carefully monitors changes in moving averages, volume, and price action. If the market sentiment is shifting one direction, the call/put flow will plot those changes. If market is bullish, call flow should rise and put flow should decrease. The same goes for the opposite if the market is bearish.
As is the same for the DNA strands, if markets momentum is becoming bullish, the lines will change color and then cross to signify a change in momentum and the call flow in the background should match this change. This creates two layers of confluence in an easy understandable visual method.
Using Call/Put Flow
In the image below, we disabled everything but call flow to demonstrate usage.
On the left side of the image, you can see call flow matched price increase, then started to decline. This created a flow divergence, identifying a possible change in price action coming. This happened once flow crossed back below the threshold line and price then beginning to move lower. On the right side of the image, you can see call flow rising and price increasing. This is a good confluence showing there is bullish sentiment building in the market.
In this next image, we disabled everything but put flow to demonstrate usage.
The left side shows a put flow divergence. Put flow is slowly rising just like price is, this can help a trader identify a possible shift in sentiment coming. And on the right side, we have put flow rising above the threshold line and price beginning to decrease. Now we have confluence of bearish sentiment building in the market.
The image below shows only call & put flow enabled, to display what the above two images combined look like.
As you can see in the image above, these flow visuals help identify the underlying market sentiment. And when they cross, it leads to a change in price action in the direction of the sentiment over the threshold line.
Using DNA Strands
The image below has just DNA strands enabled to demonstrate usage.
On the left is a box highlighting bearish momentum cross. In the circles is the change in momentum shifting from bullish to bearish. The move gets stronger as the DNA strands get closer to cross over signifying strength in the move. On the right side is a box highlighting a bullish momentum cross. The circles again, show the change from bearish to bullish momentum. Like previously said, the move gets stronger as the DNA strands get closer to crossing over, signifying strength in that direction.
The next image shows call/put flow and DNA strands enabled for a full complete picture.
The circles labeled (1) are showing the change in momentum from bullish to bearish. Circle (2) shows call flow decreasing and put flow rising above calls. Finally the arrow points to the DNA strands crossing over and put flow rising above the threshold line. This is 3 levels of easy visual confluence showing a change in sentiment, volume, and momentum to the downside.
The next image will be showing the bullish side with call/put flow and DNA strands enabled.
The circles that are labeled (1), show the visual change in momentum on the DNA strands from bearish to bullish. Circle (2) is the crossing of call flow over put flow and the arrow points to the DNA strands crossing over and call flow above the threshold line. Three simple to use visual confluences to identify change in sentiment, volume, and momentum to the upside.
Conclusion:
Our goal is to provide a unique, yet simple approach to market sentiment & momentum analysis. It's a tool developed for traders seeking user-friendly and easy to use tools that provide easy visual insights of market dynamics. We believe in simplicity, effectiveness, and creating tools to support decision making for all traders.
How to get access:
You can see the Author's instructions to get access to this indicator
RISK DISCLAIMER
All content, tools, scripts & education provided by Gorb Algo are for informational & educational purposes only. Trading is risky and most lose their money, past performance does not guarantee future results.
Liquidity Price Depth Chart [LuxAlgo]The Liquidity Price Depth Chart is a unique indicator inspired by the visual representation of order book depth charts, highlighting sorted prices from bullish and bearish candles located on the chart's visible range, as well as their degree of liquidity.
Note that changing the chart's visible range will recalculate the indicator.
🔶 USAGE
The indicator can be used to visualize sorted bullish/bearish prices (in descending order), with bullish prices being highlighted on the left side of the chart, and bearish prices on the right. Prices are highlighted by dots, and connected by a line.
The displacement of a line relative to the x-axis is an indicator of liquidity, with a higher displacement highlighting prices with more volume.
These can also be easily identified by only keeping the dots, visible voids can be indicative of a price associated with significant volume or of a large price movement if the displacement is more visible for the price axis. These areas could play a key role in future trends.
Additionally, the location of the bullish/bearish prices with the highest volume is highlighted with dotted lines, with the returned horizontal lines being useful as potential support/resistances.
🔹 Liquidity Clusters
Clusters of liquidity can be spotted when the Liquidity Price Depth Chart exhibits more rectangular shapes rather than "V" shapes.
The steepest segments of the shape represent periods of non-stationarity/high volatility, while zones with clustered prices highlight zones of potential liquidity clusters, that is zones where traders accumulate positions.
🔹 Liquidity Sentiment
At the bottom of each area, a percentage can be visible. This percentage aims to indicate if the traded volume is more often associated with bullish or bearish price variations.
In the chart above we can see that bullish price variations make 63.89% of the total volume in the range visible range.
🔶 SETTINGS
🔹 Bullish Elements
Bullish Price Highest Volume Location: Shows the location of the bullish price variation with the highest associated volume using one horizontal and one vertical line.
Bullish Volume %: Displays the bullish volume percentage at the bottom of the depth chart.
🔹 Bearish Elements
Bearish Price Highest Volume Location: Shows the location of the bearish price variation with the highest associated volume using one horizontal and one vertical line.
Bearish Volume %: Displays the bearish volume percentage at the bottom of the depth chart.
🔹 Misc
Volume % Box Padding: Width of the volume % boxes at the bottom of the Liquidity Price Depth Chart as a percentage of the chart visible range
Wig20 Volume StatsThe WIG20 index is a price index of the largest listed companies on the GPW/WSE. The index value is calculated based on the turnover and share prices of the 20 largest listed companies. The initial index level on April 16, 1994 was 1,000 points.
Wig20 Volume Stats script is merging data from different sources and calculates volume or cash flow on all Wig20 companies. Script includes data starting from 1.01.2010. Some companies included in the Wig20 in that period are no longer listed on the GPW/WSE. TradingView no longer provides data of these companies. In result, some historical periods are affected by missing part of the data. This does not affect the data presenting the current composition of the Wig20 index.
Script can analyze data in few ways and show statistics in the table on the right corner of the screen - Controlled by type param in script settings.
This script can be used by ANY user. You DO NOT NEED to have PRO or PREMIUM account to use it.
This script is a part of a bigger package called "Wig20". In that package we have:
Wig20 Volume - Chart showing volume/cash flow on Wig20 index.
Wig20 Volume Stats - Volume statistics compared with similar periods in history.
Wig20 Sentiment - Wig20 sentiment in +2 and +9 months time period.
Wig20 Expectation - Wig20 expectations in +2 and +9 months time period.
Wig20 Impact - Script showing expected impact of price change of particular instrument on the Wig20 index.
Script settings:
Type - Type of statistics shown in the right-top table.
- WD-V - Volume Data splitted into days
- WD-V% - Volume data splitted into days and compared to historical data
- WH-V - Volume data splitted into hours
- WH-T/L - Volume data splitted into hours and compare this and last week data
- WH-T/L% - Volume data splitted into hours and this / last week volume in %
- WH-AV - Average volume data splitted into hours
- WH-T/AV% - This week as percent of average volume data splitted into hours in %
Units - Units used in the statistics:
PLN - Cash in PLN
K PLN - Cash in k PLN (/1 000)
M PLN - Cash in m PLN (/1 000 000)
Bold current - Highligh current day and value with text bolding.
Extend hours - Showing 8:00-18:00 hours instead of 9:00-17:00
Average Volume: Start date - Start date for calculating average volume.
Highlight values bigger than current - Enable highlighs and pick color.
Troubleshooting:
In case of any problems, send error details to the author of the script.
Wig20 VolumeThe WIG20 index is a price index of the largest listed companies on the GPW/WSE. The index value is calculated based on the turnover and share prices of the 20 largest listed companies. The initial index level on April 16, 1994 was 1,000 points.
Wig20 Volume script is merging data from different sources and calculates volume or cash flow on all Wig20 companies. Script includes data starting from 1.01.2010. Some companies included in the Wig20 in that period are no longer listed on the GPW/WSE. TradingView no longer provides data of these companies. In result, some historical periods are affected by missing part of the data. This does not affect the data presenting the current composition of the Wig20 index.
This script can be used by ANY user. You DO NOT NEED to have PRO or PREMIUM account to use it.
This script is a part of a bigger package called "Wig20". In that package we have:
Wig20 Volume - Chart showing volume/cash flow on Wig20 index.
Wig20 Volume Stats - Volume statistics compared with similar periods in history.
Wig20 Sentiment - Wig20 sentiment in +2 and +9 months time period.
Wig20 Expectation - Wig20 expectations in +2 and +9 months time period.
Wig20 Impact - Script showing expected impact of price change of particular instrument on the Wig20 index.
Script settings:
Wig20:
- Visibility - Showing cashflow histogram
- Color - Color used to draw bars
- Units - List of available units :
⠀⠀Shares - Wig20 (fake) shares.
⠀⠀PLN - Cash in PLN
⠀⠀K PLN - Cash in k PLN (/1 000)
⠀⠀M PLN - Cash in m PLN (/1 000 000)
Value label - Showing labels with values below the diagram. They are visible only if chart is zoomed enough to show separate bars.
Update symbol: ☯ - Showing ☯ symbol on label when the composition of the WIG20 Index changes.
Volume > - Showing dialogs with list of companies that has bigger volume then average from last 5 (param) bars multiplied by 100% (param).
Alerts - Triggers alert if traded cash flow is bigger than picked treshold in PLN.
Treshold - Treshold used for alert condition.
To receive alerts on TradingView platform you need to add them at particular chart to the alert list.
Troubleshooting:
In case of any problems, send error details to the author of the script.
Gorb AlgoIntroduction:
Gorb Algo is an all-in-one trading indicator made up of classic technical analysis components such as moving averages, relative strength index, stochastic oscillator, and pivot points blended together to create a synergistic algorithm. Focused on providing useful signals & trading tool overlays to meet all trader's technical analysis needs. Each feature included can be changed to meet each traders strategy or market condition.
Overview:
The Gorb Market Trend isn't a simple trend-following tool; it's a sophisticated blend of traditional and innovative methods, providing comprehensive market analysis.
Its unique combination of EMA analysis, volume weighting, RSI, and stochastic indicators, along with proprietary algorithms, providing nuanced views in trend detection and trading confluences.
The indicator is designed for traders at all levels, offering a balance of depth for experienced traders and simplicity for beginners.
Centerpieces: Gorb Market Trend & Volume Strength
These use a color-coded system to indicate market direction/strength. The color: white is used to signal upward/bullish trend, while the color: purple is used to signal downward/bearish trend. It is designed for ease of use, simplifying complex market data into an easy visually understandable format.
How the Gorb Market Trend Works:
Moving averages are used to find convergence or divergence on multiple EMA's to help determine the overall market direction. Relative Strength Index is used to assess the speed and change of price movements to add another layer to the Market Trend lines identification of the markets analysis. It then plots a line using just two colors to provide traders with a visual representation of the trend. This can help traders quickly grasp the current market trend with simple color cues.
How the Volume Strength Works:
A stochastic oscillator is used to measure the current price level relative to its price over a specific range period to capture sentiment and potential reversals for the Trend Strength feature. And the final part is the use of VWAP and volume analysis to ensure that identified trends are not only based on price movements but are also supported by trading volume, adding a layer of reliability to the trend signals. These are then plotted at the bottom of the chart following the same color scheme as Gorb Market Trend. Only difference is, when volume strength begins to decline, the color will be more transparent, and when it is strong, the color will be bright.
Custom Algorithmic Elements:
The Gorb Market Trend isn't just a combination of standard indicators. It includes proprietary algorithmic elements tailored to enhance signal accuracy and timing. These unique components are what set the Gorb Market Trend apart from conventional trend-detection methods.
We recommend exploring every feature to pick & choose what best suits your needs and style of trading, and use that to combine with the Market trend line.
Features:
All skill-level friendly presets, easy to enable features with one-click
Trading Signals: Plotted signals to help traders identify changes in trend on the Gorb Market Trend Line (not to be followed blindly)
Match Volume Color: allows the user to enable signals to appear only if they match the trend strength's color
Enable MA Filter: allows the user to use 2 EMA's to create a custom trend filter in order to limit contrarian signals with the current trend
Chop Filter: allows the user to have a specific candle range of their choice to limit signals during sideways price movement
4 EMA's: allows the user to plot up to 4 EMA's on the chart and change to the users specific trading strategy with the Market Trend line
VWAP: allows users to plot VWAP on their chart to visually see where price is relatively
EMA Clouds: allows users to fill the gap between EMA's plotted on the chart to help them visualize zones for entries or stop-losses
Pivot Points: allows users to have pivots on their chart to use in tandem with market trend line to find areas of support and resistance to help find confluence in their trading
All colors are changeable for the user to customize the scheme to their liking or style
Basic Signals, Market Trend & Volume Strength Demonstration
In the image below, we can see a basic example of how these 3 core features function.
As explained above, the trade ideas are only generated if the user enables them. They will plot as small triangles in real time and are directly correlated to the market trend line coloring in order to quickly see the change in market conditions.
The volume strength on the bottom helps identify the strength and momentum of the market condition. This can also be used to identify possible fake-outs or small pullbacks before price continues on. The brighter the volume strength the stronger it is, when it is dimmer, that means volume is decreasing in that direction. This can help traders identify signals they may not want to trust as much.
Trading Tool Overlays with Signals
In the image below, we have enabled the EMA's and VWAP overlays from the settings. By using these tools, users can add more confluence to create their trading strategies
The EMA's are not only used for the market trends, trend filter. But also used as an additional confluence for general trend following purposes alongside the trade idea signals. These can be extremely useful for traders who like to have different length moving averages depending on their timeframe for analyzing the market.
In this next image, we can see that price dips down and then bounces up. With EMA clouds enabled, the user can now have visual zones to look for trade entries in.
When paired with the market trend line and trade idea signals, this adds a whole other level of easy visual trading confluence for traders. You can see that market trend changes color and a trade signal is plotted when price enters these zones. This can be helpful to a trader looking to find confluence in their entries.
The image below shows specific pivot levels being plotted when the user enabled pivots in the settings of the indicator.
The pivot levels proved an excellent area of support/resistance for traders that are generated fresh every day. These are particularly useful for areas that line up with previous tools above and trade signals. This overlay gives traders a clear level that can be used to confirm entries and create targets to exit trades at. These levels when combined with the other tools in this indicator provide traders an all-in-one visual confluences. Some traders may just use this overlay to have an idea on the range for the trading session.
Filters:
There are 3 different trade signal filters integrated into this indicator
1. Match Volume Color: When enabled, signals can only be valid and plotted if the volume strength color matches the market trend line signal. Otherwise the signal will not appear, this limits possible fake-outs without having volume agree.
2. MA Filter: When enabled, this removes an contrarian signals to the current market trend per the settings of the filter. The EMA settings for this filter can be changed by the user for them to customize this to their trading strategies. There are two settings, short ema and long ema to define the trend.
3. Chop Filter: When enabled, this disables signals that would normally appear in sideways price action. This setting is also customizable by the user; there are two settings: candle period and threshold. The candle period is how many candles back does this filter want to look to define its range. The threshold, is the amount of price deviation is allowed from this range in order to disable a signal.
Conclusion:
We believe in providing an all inclusive trading tool to help simplify trading for all traders. The goal is to provide a user-friendly, efficient tool that provides insights into market trends. For it to stand out for its simplicity and effectiveness, as a support tool for decision making.
How to get access:
You can see the Author's instructions to get access to this indicator
RISK DISCLAIMER
All content, tools, scripts & education provided by Monstanzer or Gorb Algo LLC are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
Volume Profile Movable RangeA movable range volume profile indicator is an advanced technical analysis tool that offers traders the flexibility to customize the start date from which the indicator's calculation begins. This feature is particularly valuable for investors who wish to focus on specific time periods and gain a more detailed understanding of price and volume movements within those intervals.
The primary advantage of this indicator lies in its intuitive movable bar, which allows users to easily adjust the start date on the chart. By dragging this bar forward or backward along the time axis, the volume profile calculation is automatically updated to reflect the newly selected date range. This provides traders with a unique ability to adapt to changing market conditions and adjust their analysis in real-time.
By customizing the start date, investors can explore patterns, trends, and support/resistance levels within specific timeframes more accurately and timely. Furthermore, this indicator offers a detailed interpretation of trading volume, aiding traders in assessing the strength or weakness of trends, identifying potential entry and exit points, and making informed decisions in their trading strategies.
In summary, a movable range volume profile indicator is an essential tool for traders seeking more adaptable and precise technical analysis. The ability to easily select and adjust the start date through a movable bar on the chart provides a significant advantage when making data-driven, personalized decisions in financial markets.
All Support and Resistance Levels [PINESCRIPTLABS]First, we observe the Light Blue Macro Supports and the Pink Macro Resistances. These channels are automatically formed based on market data, identifying pivot points in price history and determining the strength of these levels based on the number of pivot points within these same channels. When the price interacts with the macro Supports, we have a strong reaction that we can take advantage of in two ways:
1. The first and most common, as we can see in the chart, is that these zones elicit a strong reaction, and the price respects the channel. For us, as traders, it signifies a pivot point where we can initiate a trade, either a buy at the macro Support or a sell at the macro Resistance.
2. The second way to use them, for which this algorithm is also prepared, is in case a movement occurs where the price breaks these Macro Supports or Macro Resistances. We have a special alert that will notify us because when these macro channels are broken, they tend to do so violently in a move that we can also capitalize on. Usually, when such a breakout occurs, we will visit the next support or resistance channel, which can bring us significant benefits.
The following complex and highly accurate calculation provided by this indicator allows us to work with price supports and resistances within the internal structure of macro channels. As we can see in the chart, "boxes" are formed that represent the detected support and resistance areas. It also detects breakouts when the price crosses below the support "box" or above the resistance "box" and displays labels on the chart indicating when the breakout occurred, all in real-time. But here comes something very special: the algorithm also has a calculation that, as we see in the chart, there are occasions when the breakout occurs, but the price returns to the support or resistance "box" and is detected. At this moment, a label appears on the chart indicating a possible confirmation of the breakout. In other words, as the price initially broke out but returned to the "box," the algorithm will notify us with another label and a special alert when the price confirms the breakout.
At the same time, we can see in the chart that the algorithm also provides us with a volume profile that allows us to see where the most trading activity has concentrated based on price levels. We can also use it to identify support and resistance levels based on the point of control (POC) and value area levels. As we can see in the chart, there are labels with the exact price where the highest volume was traded. The top label in the chart shows the highest price, and the last label we see is for the lowest price. These displayed labels are within the defined range of retrocession or Lookback Length, which we can configure in our indicator. As we observe, the algorithm shows a strong confluence between the Macro Support channels and the volume profile labels, confirming the strongest areas of the range.
Finally, after calculating supports and resistances from three different perspectives, the algorithm provides us with a macro view of the price in the form of trend lines. In other words, it shows us supports and resistances in the form of diagonal channels where we can see trends in the market and areas where the price has historically encountered difficulties in advancing or retreating, which we can corroborate with the supports and resistances mentioned at the beginning.
As we can see in the chart, the algorithm also shows us labels with the exact price where angular price supports and resistances are located. These calculations are very important as they provide a trend perspective, and we can get an idea of where the price is headed, combining these with the other support and resistance calculations.
Remember that all the previous calculations have their own alerts for when supports or resistances are broken, or in the case of new channels being created, also when there is a breakout of a box or a confirmation of a breakout.
The second type of alert from the indicator is configured to make our indicators work for us without the need to be present on the chart, thanks to special programming within the indicator's code. It will execute automatic buys and sells on our preferred exchange through an alert configured for the 3Commas bot. All you need to do is input your Bot ID, provided by 3Commas, into the alert. All premium indicators come with a configuration explanation that will guide you in detail on where to input your Bot ID.
ESPAÑOL:
En primer lugar, observamos los Macro Soportes en color azul claro y las Macro Resistencias en color rosa. Estos canales se forman automáticamente en función de los datos del mercado, identificando puntos de pivote en el historial de precios y determinando la fuerza de estos niveles según la cantidad de puntos de pivote dentro de estos mismos canales. Cuando el precio interactúa con los macro Soportes, tenemos una fuerte reacción que podemos aprovechar de dos formas:
1. La primera y más común, como observamos en el gráfico, es que estas zonas provocan una fuerte reacción, y el precio respeta el canal. Para nosotros, como traders, significa un punto de pivote donde podemos generar una entrada, ya sea de compra en el macro soporte o de venta en la macro resistencia.
2. La segunda forma de utilizarlos, para la cual este algoritmo también está preparado, es en caso de que se genere un movimiento en el que el precio rompa estos Macro Soportes o Macro Resistencias. Contamos con una alerta especial que nos avisará, ya que al romperse estos macro canales suelen hacerlo con violencia en un movimiento que también podemos aprovechar. Regularmente, cuando existe este rompimiento, visitaremos el siguiente canal de soporte o resistencia, lo que nos puede traer grandes beneficios.
El siguiente cálculo complejo y muy preciso que nos ofrece este indicador nos permite trabajar con soportes y resistencias del precio dentro de la estructura interna de los canales macro. Como observamos en el gráfico, se producen "boxes" que representan las áreas de soporte y resistencia detectadas. Además, detecta breakouts cuando el precio cruza por debajo del "box" de soporte o por encima del "box" de resistencia y muestra etiquetas en el gráfico que nos indican cuándo ocurrió el breakout, todo esto en tiempo real. Pero aquí viene algo super especial: el algoritmo también tiene un cálculo que, como vemos en el gráfico, hay ocasiones en las que el breakout ocurre, pero el precio retorna al "box" de soporte o resistencia y es detectado. En este momento, aparece una etiqueta en el gráfico que nos muestra que estamos ante una posible confirmación del breakout. Es decir, como el precio había hecho en primer lugar el breakout pero regresó al "box", el algoritmo nos avisará con otra etiqueta y alerta especial cuando el precio confirme el breakout.
Al mismo tiempo, observamos en el gráfico que el algoritmo también nos muestra un perfil de volumen que nos permite ver dónde se ha concentrado la mayor actividad de negociación en función de los niveles de precios. También podemos usarlo para identificar niveles de soporte y resistencia basados en el punto de control (POC) y los niveles de valor (Value Area). Como vemos en el gráfico, tenemos etiquetas con el precio exacto donde se negoció la mayor cantidad de volumen. La etiqueta superior del gráfico nos muestra el precio más alto, y la última etiqueta que observamos es la de la parte baja, que nos indica el precio más bajo. Estas etiquetas mostradas están dentro del rango de retroceso definido o Lookback Length, que podemos configurar en nuestro indicador. Como observamos, el algoritmo nos muestra una fuerte confluencia entre los canales de soporte Macro y las etiquetas del perfil de volumen, lo que nos confirma las áreas más fuertes del rango.
Por último, después de hacer los cálculos de soportes y resistencias desde tres perspectivas distintas, el algoritmo nos proporciona una visión macro del precio en forma de líneas de tendencia. Es decir, nos muestra soportes y resistencias en forma de canales diagonales donde tendremos representadas las tendencias en el mercado y áreas en las que el precio históricamente ha encontrado dificultades para avanzar o retroceder, lo que podemos corroborar con los soportes y resistencias de los que hablamos al principio.
Como observamos en el gráfico, el algoritmo también nos muestra las etiquetas con el precio exacto donde se encuentran los soportes angulares del precio y las resistencias angulares. Estos cálculos son importantísimos, ya que nos ofrecen una perspectiva de tendencia y podemos tener una visión de hacia dónde se dirige el precio, combinando estos con los otros cálculos de soportes y resistencias.
Recuerden que todos los cálculos anteriores tienen su propia alerta para cuando los soportes o resistencias se quiebren o en su caso, se creen nuevos canales, también cuando haya una ruptura de un "box" o una confirmación de ruptura.
El segundo tipo de alerta del indicador está configurada para que nuestros indicadores trabajen para nosotros sin necesidad de estar presentes en el gráfico, esto mediante una programación especial dentro del código del indicador que realizará compras y ventas automáticas en nuestro Exchange de preferencia mediante una alerta configurada para el bot 3Commas. Solo bastará con que pongamos nuestro número de Bot o Bot ID que da el proveedor de 3Commas y lo insertemos en la alerta. Todos los indicadores premium tienen en su configuración una explicación detallada sobre dónde poner tus Bot ID.
Oscillator Volume Profile [Trendoscope®]The Oscillator Volume Profile indicator is designed to construct a volume profile based on predefined oscillator levels. It integrates volume data with oscillator readings to offer a unique perspective on market dynamics.
🎲 Selectable Oscillators:
Users can select from an array of oscillator options for the basis of the volume profile, including:
Relative Strength Index (RSI)
Chande Momentum Oscillator (CMO)
Center of Gravity (COG)
Money Flow Index (MFI)
Rate of Change (ROC)
Commodity Channel Index (CCI)
Stochastic Oscillator (Stoch)
True Strength Index (TSI)
Williams %R (WPR)
The length parameters - Length, Fast Length, Slow Length allows users to define the period over which the chosen oscillator is calculated, tailoring the sensitivity of the indicator to their trading strategy.
🎲 Dynamic Overbought/Oversold Ranges:
This indicator enhances traditional concepts by introducing dynamic overbought and oversold levels. These adaptable thresholds are calculated using various methods, including:
🎯 Highest/Lowest Range Method : This method establishes the range based on the highest and lowest values of the oscillator within the last N bars.
🎯 Moving Average Range Method : The range is derived from a moving average of the oscillator, providing a smoothed threshold that reflects more recent market conditions.
In addition to these methods, the indicator incorporates a unique 'Sticky Border' feature:
🎯 Sticky Border: With this option enabled, the dynamic ranges maintain their levels until the oscillator breaks out of the range. Once a breakout occurs, the levels are recalculated and updated. This mechanism ensures that the borders remain consistent and relevant, only adjusting to significant market movements that warrant a recalculation.
Users can select their preferred method for determining dynamic ranges, allowing for a customized approach that aligns with their analysis and trading strategy. The sticky border feature further refines this functionality, offering continuity until a decisive market move occurs.
🎲 Volume Profile Calculation Parameters:
🎯 Trend Filter: The indicator provides a versatile trend filter with four selectable options:
Uptrend: The volume profile is calculated when the oscillator indicates an uptrend.
Downtrend: The volume profile is calculated when the oscillator indicates a downtrend.
Any: The volume profile is calculated regardless of the trend.
External: Users can input values from an external indicator. The volume profile is then calculated only when the external indicator's value is non-zero, integrating external analysis into the volume profile construction.
🎯 Precision: Users have the option to define the precision for calculating the volume profile, which is crucial due to the varying scales of different oscillators (e.g., some oscillators range from 0 to 100, while others from -1 to 1). Selecting an appropriate precision ensures that the volume profile is accurately aligned with the minimal price range significant to the chosen oscillator. This setting requires user intervention for optimal configuration, as automatic calculation is not feasible due to the diverse nature of oscillator ranges.
🎯 Number of Bars: Users can select a specific number of bars for volume profile calculation, or opt to include all available historical bars for a comprehensive profile.
🎲 Selecting the right precision:
Users must select the right precision based on their choice of indicator. For example, RSI values range from 0-100. Hence, the default precision of 1 work fine on RSI as the volume profiles are plotted from 0 to 100 at the interval of 0.1
But, the default precision of 1 will not be ok on TSI because TSI values range from -1 to 1. Hence, using 1 as precision will result in very less volume profile lines as shown below.
Due to this, it is necessary to increase the precision for oscillators such as TSI where the range between highest and lowest value is far less. Once we set the precision to 2, we can see more appropriate volume profile division.
🎲 Note of thanks:
This publication uses polyline feature for drawing volume profiles. The advantage of using polyline is that we can overcome max 500 lines issue that we face by using the regular line objects. More details of polyline can be found in the tradingview blog post
Further, using polyline for display of volume profiles is inspired by the publications of fikira and KioseffTrading
10x Bull Vs. Bear VP Intraday Sessions [Kioseff Trading]Hello!
This script "10x Bull Vs. Bear VP Intraday Sessions" lets the user configure up to 10 session ranges for Bull Vs. Bear volume profiles!
Features
Up To 10 Fixed Ranges!
Volume Profile Anchored to Fixed Range
Delta Ladder Anchored to Range
Bull vs Bear Profiles!
Standard Poc and Value Area Lines, in Addition to Separated POCs and Value Area Lines for Bull Profiles and Bear Profiles
Configurable Value Area Target
Up to 2000 Profile Rows per Visible Range
Stylistic Options for Profiles
This script generates Bull vs. Bear volume profiles for up to 10 fixed ranges!
Up to 2000 volume profile levels (price levels) Can be calculated for each profile, thanks to the new polyline feature, allowing for less aggregation / more precision of volume at price and volume delta.
Bull vs Bear Profiles
The image above shows primary functionality!
Green profiles = buying volume
Red profiles = selling volume
All colors are configurable.
Bullish & bearish POC + value areas for each fixed range are displayable!
That’s about it :D
This indicator is part of a series titled “Bull vs. Bear”.
If you have any suggestions please feel free to share!
Volume SentimentIn 1994 Tushar Chande and Stanley Kroll published a epic book of modern trading indicators called "The New Technical Trader". I highly recommend it. Two indicators that stood out was the Market Thrust and Thrust Oscillator. They suggested these as alternatives to the Arms Index. Rather than using the Advancing Stocks and their associated volume, I applied their logic to individual bars.
Bar Sentiment can be defined and the difference between the low and the close relative to the bar width. Smaller values are bearish and larger one are bullish. A bullish candle would close above its mid-point. Conversely, a close below the candle mid-point is considered bearish.
With that, this script sums the bullish or bearish (as defined above) volume over a user defined number of bars. It gives a unique indication of the volume compared to typical volume indicators. It also gives the user the option to set a "High Volume" alert when the total volume is greater than the moving average. This is helpful for identify increasing activity in your security.
Enjoy and happy trading!
TripleScore TripleScore Indicator
By DB1972
The TripleScore Indicator is a powerful tool designed to provide traders with a comprehensive view of market dynamics by combining three distinct scoring components: Rate of Change (RoC), Volume Price Pressure (VPP), and Linear Regression (Reg-Line). Each of these components is evaluated and combined to offer a holistic perspective on the market sentiment.
Features:
Rate of Change (RoC): The RoC component measures the rate of return for short, medium, and long-term periods and smooths them using regression curves. It helps assess the strength of price trends over various timeframes.
Volume Price Pressure (VPP): The VPP component calculates the Volume Price Pressure by evaluating buying and selling pressure based on price movements and volume. It also takes into account the flow of money in the market. This provides insights into the underlying forces influencing price changes.
Linear Regression (Reg-Line): The Reg-Line component utilizes linear regression to create a smooth signal that reflects market trends. It identifies when the current price is above or below the regression line, helping traders gauge market momentum.
How to Use:
The TripleScore Indicator allows traders to assess the market's current state by providing individual scores for each component and a combined TotalScore. The TotalScore reflects the overall market sentiment, with positive scores indicating bullish conditions and negative scores suggesting bearish sentiment.
Green histogram bars in the individual score sections signify positive sentiment.
Red histogram bars indicate negative sentiment.
The color of the TotalScore columns changes dynamically to reflect the overall sentiment (green for bullish and red for bearish).
Parameters:
Short, Medium, and Long Periods: Customize the evaluation timeframes to match your trading strategy.
Signal Smoothing & Linear Regression Length: Adjust the smoothing and regression parameters to fine-tune the indicator's responsiveness.
Usage:
The TripleScore Indicator is a versatile tool that can be used in various trading strategies, including trend following and market sentiment analysis. It empowers traders to make informed decisions by providing a comprehensive view of market conditions.
Disclaimer: Trading involves risk, and this indicator should be used in conjunction with other technical and fundamental analysis tools.
ai.1ai.1 = All in One indicator
"ai.1" is a high probability low risk predictive oscillator based on various well known indicators "All in One". I wanted to be able to get an equal output result for a multiple trading metrics comparison. I wanted to see what all market participants see, because all market participants look at charts in different ways with different indicators. By combining these well known trading indicators into the same scale I get a comprehensive view of the market as it is, not just through one prism.
The ai.1 indicator uses Stochastic and/or Moving Average Convergence Divergence formulas to visualize: Relative Strength Index, Commodity Channel Index, Money Flow Index, True Strength Index, Momentum, Average True Range, Standard deviation, Accumulation Distribution Index, Price Volume Trend, Positive Volume Index and/or On Balance Volume in a standard type of appearance.
1) MACD: Moving Average Convergence Divergence reveals changes in the strength, direction, momentum, and duration of a trend in a stock's price.
2) Stoch: Stochastic is a technical indicator widely used in short-term trend analysis of futures and stock markets. Stochastic is calculated with the lowest and highest by a formula of 100.
3) RSI: Relative Strength Index is calculated from the upward and downward price changes.
4) CCI: The Commodity Channel Index is calculated as the difference between the typical price of a commodity and its simple moving average, divided by the mean absolute deviation of the typical price.
5) MFI: The Money Flow Index is a technical oscillator that uses price and volume for identifying overbought or oversold conditions in an asset.
6) TSI: True Strength Index uses moving averages of the underlying momentum of a financial instrument.
7) MOM: Momentum is simply the difference of the source price and price length.
8) ATR: Average True Range measures the range between high and low.
9) STDV: Standard deviation is the statistical measure of market volatility, measuring how widely prices are dispersed from the average price. If prices trade in a narrow trading range, the standard deviation will return a low value that indicates low volatility.
10) AD: Accumulation Distribution Index is a cumulative indicator that uses volume and price to assess whether a stock is being accumulated or distributed.
11) PVT: Price Volume Trend uses the cumulative volume and price change.
12) PVI: Positive Volume Index compares the previous volume flow with the current volume.
13) OBV: On Balance Volume is the cumulative volume change.
To be able to merge these formulas I had to normalize the math into 1 scale. I did this by using Stochastic and then converting that by its historical minimum and maximum. The normalized output scale range for ai.1 is -100 to 100.
100 = overbought
-100 = oversold
MACD is a unique scale with neutral zero.
Stochastic is a 0-100 scale.
Relative Strength Index is a 0-100 scale.
Commodity Channel Index is generally a -400<400 scale with neutral zero.
Money Flow Index is a 0-100 scale.
True Strength Index is a unique scale with neutral zero.
Momentum is a unique scale with neutral zero.
Average True Range is a unique scale.
Standard deviation is a unique scale.
Accumulation Distribution Index is a unique scale.
Price Volume Trend is a unique scale.
Positive Volume Index is a unique scale.
On Balance Volume is a unique scale.
Everything in between is either bullish or bearish.
Rising = bullish
Falling = bearish
crossover = bullish
crossunder = bearish
cross = anticipation of the next cross direction
convergence = direction change
divergence = momentum
*Represents a how to use tooltip*
The default input settings / style:
Source = ohlc4
7 = K length, *Stochastic length*
3 = D smoothing, *smoothing length*
6 = MACD-ai.1 fast, *fast length line*
color = blue
13 = MACD-ai.1 slow, *slow length line*
color = white
4 = MACD-ai.1 signal, *histogram length*
color rising above 0 = bright green
color falling above 0 = dark green
color falling below 0 = bright red
color rising below 0 = dark red
2 = Stretch, *Output multiplier for MACD-ai.1 visual expansion*
1 = MA, *moving average of ALL or Choice Type ai.1-lines*
MACD-ai.1 variable choice / Choice type ai.1-line:
RSI *Relative Strength Index*
CCI *Commodity Channel Index*
MFI *Money Flow Index*
TSI *True Strength Index*
MOM *Momentum*
ATR&STDV *weighted average True Range & Standard Deviation*
ATR *True Range*
STDV *Standard Deviation*
PVT *Price Volume Trend*
PVI *Positive Volume Index*
OBV *On Balance Volume*
AD *Accumulation Distribution*
ALL *Weighted average of all*
ALLP *Weighted average of all price based*
ALLV *Weighted average of all volume based*
MACD-ai.1 price label / text color
crossover = green label / black text
crossunder = red label / white text
MACD-ai.1 price label on / off
*unchecked off/ checked on*
label decimal place: 2
*example: use 0 for a round number, use 4 for Forex*
long MACD-ai.1 crossover = green tiny circle
short MACD-ai.1 crossunder = red tiny circle
bullish rising green tiny dot
bearish falling red tiny dot
All ai.1-line = weighted average of all metrics
All cross oversold / overbought levels
*values used to trigger a label or character print*
oversold = -65 green tiny circle
extreme oversold = -85 green small circle
overbought = 65 red tiny circle
extreme overbought = 85 red small circle
All ai.1-line extreme cross price label on / off
All ai.1-line cross price label on / off
All ai.1-line reversal price label on / off
*unchecked off/ checked on*
ai.1-lines variable choice:
RSI *Relative Strength Index*
CCI *Commodity Channel Index*
MFI *Money Flow Index*
TSI *True Strength Index*
MOM *Momentum*
ATR&STDV *weighted average True Range & Standard Deviation*
ATR *True Range*
STDV *Standard Deviation*
PVT *Price Volume Trend*
PVI *Positive Volume Index*
OBV *On Balance Volume*
AD *Accumulation Distribution*
ALL *Weighted average of all*
ALLP *Weighted average of all price based*
ALLV *Weighted average of all volume based*
Choice Type ai.1-line cross oversold / overbought levels
*values used to trigger a label or character print*
oversold = -70 green tiny circle
extreme oversold = -90 green small circle
overbought = 70 red tiny circle
extreme overbought = 90 red small circle
Choice Type ai.1-line extreme cross price label on / off
Choice Type ai.1-line cross price label on / off
Choice Type ai.1-line reversal price label on / off
*unchecked off/ checked on*
Horizontal lines:
100 white
75 red
50 yellow
25 purple
0 white
-25 blue
-50 orange
-75 green
-100 white
Example screenshots of various ways to view ai.1 indicator depending on your preferred settings:
MACD-ai.1 with price labels and All ai.1-line output with directional color:
RSI ai.1-line blue with AD ai.1-line white
MACD-ai.1 fast, slow lines w/ signal histogram
long MACD-ai.1 crossover = green tiny circle
short MACD-ai.1 crossunder = red tiny circle
bullish rising green tiny dot
bearish falling red tiny dot
ATR&STDV ai.1-line with directional color:
All ai.1-line output with directional color & extreme overbought / oversold points:
All price ai.1-line purple with All volume ai.1-line orange
The ai.1 indicator can be used independently by itself or in conjunction with your favorite indicator to compare and contrast the accuracy for a trade setup entry and/or exit. The ai.1 indicator can be used on all time frames from 1 minute to 1 month etcetera. However, the default length settings are fine tuned & quick reacting for trading in real time. So, you can make it slower by adjusting the length larger to fit your trading or investing time frame. But I would not tinker with the default length settings without validating its output by back testing it on each specific time frame.
Different time frame snapshot examples:
EUR/USD 1hr chart:
BTC/USD 1 day chart:
ES1! 2 week chart:
TSLA 2 day chart:
Candle volume analysis The indicator is designed for traders who are more interested in market structures and price action using volumes. Volume analysis can help traders build a clearer understanding of zones of buyer and seller interest, as well as places to capture liquidity (traders' stop levels).
Key Features:
The indicator highlights candle volumes in selected colors, where the volume is greater individually than the volumes of the trader's chosen number of preceding candles. Or the volume that is greater than the sum of volumes of the trader's chosen number of preceding candles.
Volume DensityScript calculates the amount of volume involved per unit price and is colored based on its previous value. An increasing value along with a suitable price action indicates that there is more supply at that level and could be a potential reversal, a decreasing value indicates that there is less supply and the scrip may be in momentum or having a breakout.
Advanced Liquidations Heatmap v4 [HG]Description:
This indicator examines price movements, volume, support, and resistance levels to pinpoint potential trading opportunities. It identifies large, volatile moves with substantial activity in specific zones on the chart, which the market tends to revisit due to the high transaction volume in these areas. The primary purpose of this indicator is to highlight these high-probability areas where the market is likely to return.
Leverage Liquidations Feature:
This indicator incorporates a feature that displays arbitrary liquidation levels, corresponding to various leverage settings common among market participants. Users need to analyze the market and select appropriate leverage settings based on their insights.
Transparency Feature:
The indicator also includes a feature that modulates the transparency of the displayed areas according to their significance, enhancing the visual representation of market activity.
Color Modulation Feature:
This feature modifies the color of the displayed areas depending on their importance.
Using the indicator:
We recommend using this indicator to trade towards and away from significant areas, and to look for reversals when these zones are revisited. Although trading offers no certainties, only probabilities, the significant candles on the chart denote high-probability areas the market frequently revisits. Additionally, zones recovered between 50% - 100% indicate high-probability points where the market might reverse its direction. The probability of a market direction change escalates as more significant areas are recovered sequentially. While there's no strict rule for when these areas are recovered, observing candle colors (green, blue, red, purple) can assist in assessing the velocity of a move to or from a zone. For more effective use of this indicator, determine a trend using other preferred indicators or even a basic EMA. Dedicate time to understanding how these zones are revisited for each specific asset.
Strong Move Up:
Strong Move Down:
Area Recovered Partially:
Significant Areas Are Recovered Sequentially:
Here's how to use the "Leverage Liquidations Feature":
Analyze market leverage tendencies: It's essential for users to undertake their own research into the common leverage settings utilized by market participants for a specific asset. By doing this, they can input these settings into the indicator to gain a better comprehension of potential price movements. Some sensible defaults are included in the default settings.
Visualize the liquidation levels on the chart: After the user has identified the prevalent leverage settings, the indicator will project the corresponding liquidation levels on the chart. These levels signify the points at which numerous leveraged positions would face liquidation, considering the current market price. This data can be instrumental in setting stop losses, establishing profit targets, and predicting potential market movements due to mass liquidations.
Liquidations Levels On BTC 25x + 50x + 100x + 125x:
Here's how to use the Modulation Features:
Areas more likely to be revisited are rendered more opaque, thereby increasing their visibility on the chart. In contrast, areas less likely to be revisited are shown more transparently. This delivers a straightforward visualization of where the bulk of trading activity is occurring. There's also a Dynamic Theme mode that utilizes color, not just transparency, to emphasize important areas.
Main Features:
Significant candles are identified and marked with colors, indicating high-probability areas the market may revisit.
The indicator facilitates the display of arbitrary liquidation levels based on user-defined leverage settings.
Features modulation options that adjust the transparency and color of the areas shown, based on their importance, offering an intuitive grasp of the market. The Dynamic Theme mode greatly enhances market readability.
The indicator can exhibit what we term ghosts, or dead/recovered areas, enabling users to visually identify which areas were recovered.
Fair Value Gaps can be presented alongside significant candles as both denote imbalances in the chart. Nonetheless, we recommend deactivating the Fair Value Gaps feature when showing numerous liquidation levels, allowing for the representation of data across a broader price range. Moreover, it's crucial to recognize that enabling Fair Value Gaps can influence calculations.
Documentation:
The indicator is accompanied by comprehensive documentation detailing all its options for user reference. Additionally, we provide a comprehensive instructional video.
Limitations:
A. The indicator can only showcase a limited amount of areas, so if many liquidation levels are displayed, the price range that can be shown becomes more narrow.
B. Analogous to point (A), activating the Fair Value Gaps Feature also constricts the price range of identified areas.
Recommendation:
If you wish to display more data, employ the indicator multiple times with varying settings. Also, use the 'Hide Normal Vectors' option on all but one indicator so the 'Normal' areas don't overlap.
If you experience frequent timeouts, reduce the 'Maximum Vector Zones' setting (We've found that 350 works adequately).
Webby's Quick & Grateful Dead RSWebby's Quick & Grateful Dead RS combines a Relative Strength Line and Moving Averages to help traders hold a core position in a winning stock by identifying moments of strength and weakness in a stocks advance.
The Relative Strength (RS) line is something many investors are familiar with. It is used to measure a stocks performance versus the S&P 500 (default setting) and is typically calculated by dividing the closing price of the stock by the closing price of the S&P. This means if a stock moves up and the S&P moves down or the stock moves up more than the S&P the RS line will increase, if the stock moves down while the S&P moves up the line will decrease.
While the RS Line by itself is a powerful tool, adding moving averages to the RS line can help better understand trends. This work was done by Mike Webster (Webby) as he tried to reverse engineer how William O'Neil was able to hold some of his biggest winning positions.
This indicator plots the RS line along with two moving averages and clearly labels and alerts the 3 signals shared by Webby:
Quick Break - RS line crosses below the fast moving average
Quicksand - RS line moves lower than it was at the time of the Quick Break
Grateful Dead Break - RS line crosses below the slow moving average
To ensure your chart doesn't get skewed, please use the multiplier in the setting to adjust the vertical offset of the RS line and moving averages.
Liquidation Estimates (Real-Time) [LuxAlgo]The Liquidation Estimates (Real-Time) experimental indicator attempts to highlight real-time long and short liquidations on all timeframes. Here with liquidations, we refer to the process of forcibly closing a trader's position in the market.
By analyzing liquidation data, traders can gauge market sentiment, identify potential support and resistance levels, identify potential trend reversals, and make informed decisions about entry and exit points.
🔶 USAGE
Liquidation refers to the process of forcibly closing a trader's position. It occurs when a trader's margin account can no longer support their open positions due to significant losses or a lack of sufficient margin to meet the maintenance requirements.
Liquidations can be categorized as either a long liquidation or a short liquidation. A long liquidation is a situation where long positions are being liquidated, while short liquidation is a situation where short positions are being liquidated.
The green bars indicate long liquidations – meaning the number of long positions liquidated in the market. Typically, long liquidations occur when there is a sudden drop in the asset price that is being traded. This is because traders who were bullish on the asset and had opened long positions on the same will now face losses since the market has moved against them.
Similarly, the red bars indicate short liquidations – meaning the number of short positions liquidated in the futures market. Short liquidations occur when there is a sudden spike in the price of the asset that is being traded. This is because traders who were bearish on the asset and had opened short positions will now face losses since the market has moved against them.
Liquidation patterns or clusters of liquidations could indicate potential trend reversals.
🔹 Dominance
Liquidation dominance (Difference) displays the difference between long and short liquidations, aiming to help identify the dominant side.
🔹 Total Liquidations
Total liquidations display the sum of long and short liquidations.
🔹 Cumulative Liquidations
Cumulative liquidations are essentially the cumulative sum of the difference between short and long liquidations aiming to confirm the trend and the strength of the trend.
🔶 DETAILS
It's important to note that liquidation data is not provided on the Trading View's platform or can not be fetched from anywhere else.
Yet we know that the liquidation data is closely tied in with trading volumes in the market and the movement in the underlying asset’s price. As a result, this script analyzes available data sources extracts the required information, and presents an educated estimate of the liquidation data.
The data presented does not reflect the actual individual quantitative value of the liquidation data, traders and analysts shall look to the changes over time and the correlation between liquidation data and price movements.
The script's output with the default option values has been visually checked/compared with the liquidation chart presented on coinglass.com.
🔶 SETTINGS
🔹Liquidations Input
Mode: defines the presentation of the liquidations chart. Details are given in the tooltip of the option.
Longs Reference Price: defines the base price in calculating long liquidations.
Shorts Reference Price: defines the base price in calculating short liquidations.
🔶 RELATED SCRIPTS
Liquidation-Levels
Liquidity-Sentiment-Profile
Buyside-Sellside-Liquidity
Machine Learning: VWAP [YinYangAlgorithms]Machine Learning: VWAP aims to use Machine Learning to Identify the best location to Anchor the VWAP at. Rather than using a traditional fixed length or simply adjusting based on a Date / Time; by applying Machine Learning we may hope to identify crucial areas which make sense to reset the VWAP and start anew. VWAP’s may act similar to a Bollinger Band in the sense that they help to identify both Overbought and Oversold Price locations based on previous movements and help to identify how far the price may move within the current Trend. However, unlike Bollinger Bands, VWAPs have the ability to parabolically get quite spaced out and also reset. For this reason, the price may never actually go from the Lower to the Upper and vice versa (when very spaced out; when the Upper and Lower zones are narrow, it may bounce between the two). The reason for this is due to how the anchor location is calculated and in this specific Indicator, how it changes anchors based on price movement calculated within Machine Learning.
This Indicator changes the anchor if the Low < Lowest Low of a length of X and likewise if the High > Highest High of a length of X. This logic is applied within a Machine Learning standpoint that likewise amplifies this Lookback Length by adding a Machine Learning Length to it and increasing the lookback length even further.
Due to how the anchor for this VWAP changes, you may notice that the Basis Line (Orange) may act as a Trend Identifier. When the Price is above the basis line, it may represent a bullish trend; and likewise it may represent a bearish trend when below it. You may also notice what may happen is when the trend occurs, it may push all the way to the Upper or Lower levels of this VWAP. It may then proceed to move horizontally until the VWAP expands more and it may gain more movement; or it may correct back to the Basis Line. If it corrects back to the basis line, what may happen is it either uses the Basis Line as a Support and continues in its current direction, or it will change the VWAP anchor and start anew.
Tutorial:
If we zoom in on the most recent VWAP we can see how it expands. Expansion may be caused by time but generally it may be caused by price movement and volume. Exponential Price movement causes the VWAP to expand, even if there are corrections to it. However, please note Volume adds a large weighted factor to the calculation; hence Volume Weighted Average Price (VWAP).
If you refer to the white circle in the example above; you’ll be able to see that the VWAP expanded even while the price was correcting to the Basis line. This happens due to exponential movement which holds high volume. If you look at the volume below the white circle, you’ll notice it was very large; however even though there was exponential price movement after the white circle, since the volume was low, the VWAP didn’t expand much more than it already had.
There may be times where both Volume and Price movement isn’t significant enough to cause much of an expansion. During this time it may be considered to be in a state of consolidation. While looking at this example, you may also notice the color switch from red to green to red. The color of the VWAP is related to the movement of the Basis line (Orange middle line). When the current basis is > the basis of the previous bar the color of the VWAP is green, and when the current basis is < the basis of the previous bar, the color of the VWAP is red. The color may help you gauge the current directional movement the price is facing within the VWAP.
You may have noticed there are signals within this Indicator. These signals are composed of Green and Red Triangles which represent potential Bullish and Bearish momentum changes. The Momentum changes happen when the Signal Type:
The High/Low or Close (You pick in settings)
Crosses one of the locations within the VWAP.
Bullish Momentum change signals occur when :
Signal Type crosses OVER the Basis
Signal Type crosses OVER the lower level
Bearish Momentum change signals occur when:
Signal Type crosses UNDER the Basis
Signal Type Crosses UNDER the upper level
These signals may represent locations where momentum may occur in the direction of these signals. For these reasons there are also alerts available to be set up for them.
If you refer to the two circles within the example above, you may see that when the close goes above the basis line, how it mat represents bullish momentum. Likewise if it corrects back to the basis and the basis acts as a support, it may continue its bullish momentum back to the upper levels again. However, if you refer to the red circle, you’ll see if the basis fails to act as a support, it may then start to correct all the way to the lower levels, or depending on how expanded the VWAP is, it may just reset its anchor due to such drastic movement.
You also have the ability to disable Machine Learning by setting ‘Machine Learning Type’ to ‘None’. If this is done, it will go off whether you have it set to:
Bullish
Bearish
Neutral
For the type of VWAP you want to see. In this example above we have it set to ‘Bullish’. Non Machine Learning VWAP are still calculated using the same logic of if low < lowest low over length of X and if high > highest high over length of X.
Non Machine Learning VWAP’s change much quicker but may also allow the price to correct from one side to the other without changing VWAP Anchor. They may be useful for breaking up a trend into smaller pieces after momentum may have changed.
Above is an example of how the Non Machine Learning VWAP looks like when in Bearish. As you can see based on if it is Bullish or Bearish is how it favors the trend to be and may likewise dictate when it changes the Anchor.
When set to neutral however, the Anchor may change quite quickly. This results in a still useful VWAP to help dictate possible zones that the price may move within, but they’re also much tighter zones that may not expand the same way.
We will conclude this Tutorial here, hopefully this gives you some insight as to why and how Machine Learning VWAPs may be useful; as well as how to use them.
Settings:
VWAP:
VWAP Type: Type of VWAP. You can favor specific direction changes or let it be Neutral where there is even weight to both. Please note, these do not apply to the Machine Learning VWAP.
Source: VWAP Source. By default VWAP usually uses HLC3; however OHLC4 may help by providing more data.
Lookback Length: The Length of this VWAP when it comes to seeing if the current High > Highest of this length; or if the current Low is < Lowest of this length.
Standard VWAP Multiplier: This multiplier is applied only to the Standard VWMA. This is when 'Machine Learning Type' is set to 'None'.
Machine Learning:
Use Rational Quadratics: Rationalizing our source may be beneficial for usage within ML calculations.
Signal Type: Bullish and Bearish Signals are when the price crosses over/under the basis, as well as the Upper and Lower levels. These may act as indicators to where price movement may occur.
Machine Learning Type: Are we using a Simple ML Average, KNN Mean Average, KNN Exponential Average or None?
KNN Distance Type: We need to check if distance is within the KNN Min/Max distance, which distance checks are we using.
Machine Learning Length: How far back is our Machine Learning going to keep data for.
k-Nearest Neighbour (KNN) Length: How many k-Nearest Neighbours will we account for?
Fast ML Data Length: What is our Fast ML Length? This is used with our Slow Length to create our KNN Distance.
Slow ML Data Length: What is our Slow ML Length? This is used with our Fast Length to create our KNN Distance.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Voluminati: Uncovering Market SecretsVoluminati: Uncovering Market Secrets
Overview:
The Voluminati indicator dives deep into the secrets of trading volume, providing traders with unique insights into the market's strength and direction. This advanced tool visualizes the Relative Strength Index (RSI) of trading volume alongside the traditional RSI of price, presenting an enriched perspective on market dynamics.
Features:
Volume RSI: A unique twist on the traditional RSI, the Volume RSI measures the momentum of trading volume. This can help identify periods of increasing buying or selling pressure.
Traditional RSI: The renowned momentum oscillator that measures the speed and change of price movements. Useful for identifying overbought or oversold conditions.
Moving Averages: Both the Volume RSI and traditional RSI come with optional moving averages. These can be toggled on or off and are customizable in type (SMA or EMA) and length.
Overbought & Oversold Fills: Visual aids that highlight regions where the Volume RSI is in overbought (above 70) or oversold (below 30) territories. These fills help traders quickly identify potential reversal zones.
How to Use:
Look for divergence between the Volume RSI and price, which can indicate potential reversals.
When the Volume RSI moves above 70, it might indicate overbought conditions, and when it moves below 30, it might indicate oversold conditions.
The optional moving averages can be used to identify potential crossover signals or to smooth out the oscillators for a clearer trend view.
Customizations:
Toggle the display of the traditional RSI and its moving average.
Choose the type (SMA/EMA) and length for both the Volume RSI and traditional RSI moving averages.
Note: Like all indicators, the Voluminati is best used in conjunction with other tools and analysis techniques. Always use proper risk management.
Advanced VSA: Trend and Range LevelsThe indicator is designed for traders who are more interested in market structures and price action using volumes. Analyzing volumes, key market levels, market phases (trend or range/sideways), and multiple timeframes can help the trader build a clearer and more comprehensive view of the market. The data analysis algorithm is developed based on VSA methods, elements of the ICT concept, and the results of my research to assist trader in gaining a better understanding of the market and uncovering information that might go unnoticed.
The key idea is to consider multiple timeframes in trading. Understanding larger market movements from higher timeframes can provide a deeper context when making trading decisions, aiming to assist in more effective entries and exits. This is achieved by identifying the trend and its support levels on multiple timeframes, identifying ranges and their current boundaries, as well as buyer and seller interest zones.
Key Features
Trend Identification: The indicator determines the trend and its current support level. All significant price &movements occur in the form of impulses (either by sellers or buyers). An impulse consists of one or several consecutive candlesticks, at least one of which has a closing price beyond the boundaries of the previous impulse. The indicator displays the base of the impulse and/or the entire impulse. The base of the impulse represents the trend's support level.
Range Identification: The indicator can identify ranges and their current boundaries. Institutional traders take positions within price ranges, and many market reversals occur after flats. A range is a sequential price movement up and down within a specific price range. A range is formed by a minimum of 4 points, 2 above and 2 below, and is defined by its boundaries. The indicator detects ranges based on two (two consecutive impulses in one direction) or three impulses (the first and third in one direction, and the second in the opposite direction). The indicator displays the current boundary points of the range and the level of protection after exiting the range and initiating a trend.
Buyer and seller zones within impulses: After the impulse ends, a correction occurs. It is advisable to look for entry points during this correction in the direction of the impulse from the zone of interest of the owner of the impulse: the buyer's zone for a long impulse and the seller's zone for a short impulse. A zone consists of a series of consecutive candlesticks grouped on the chart in a specific manner.
Multi-Timeframe Trend Identification: The indicator also identifies the trend on two higher timeframes and displays the two latest bases of impulses from those higher timeframes on the chart.
Additional Features
Identification of Test Levels and Effort. A test is the price's return to a zone or to a candle of effort, followed by a continuation in the direction of the initial price movement. It is characterized by the test level. An effort or effort candle is a single candle that is individually larger in volume than the previous 2.
Example Use Cases
You can display the base levels of impulses from a 4-hour time frame and a daily time frame on a 15-minute chart to keep track of important levels from higher timeframes.
By exploring different timeframes, you can identify consolidations (range/sideways movements) and trade within them in the direction of the trend from higher timeframes.
If the market is in a trending phase (the presence of a trend is determined by two consecutive impulses in the same direction), look for trades in the direction of the impulse, following these priorities:
When the impulse base level is protected by the host of the impulse.
During corrections, look for buy trades in the buyer's zone for an uptrend and sell trades in the seller's zone for a downtrend.
During corrections, look for buy trades from a buyer's effort candle for an uptrend and sell trades from a seller's effort candle for a downtrend.
If the market is in a consolidation phase (range), look for trades:
When the current or maximum/minimum historical boundaries of the consolidation (range) are protected, look for trades towards the opposite current boundary.
If the price exits the consolidation/range (closes outside all consolidation boundaries, including both current and historical boundaries), then during corrections, look for trades in the direction of the exit.
Settings
Trend: Display base levels of impulses and/or the entire impulse. Sideways Ranges (Sideways Markets): Display the required number of sideways ranges on the chart, along with protection levels for exiting the sideways range. There are two modes for finding sideways ranges. The first mode requires touching points. The second mode (advanced) does not require precise touching of points if there are increased volumes at the extreme points of the sideways range. Touching these volumes is sufficient for the price.
Zones: Display zones on the chart. Choose the types of displayed zones and their colors. They are divided into three types. The first type is the most promising for finding trades. Type 3 represents more aggressive trades.
Test Levels: Display test levels for zones and efforts on the chart. There are three types of test levels. The first type is the most promising for finding trades. Type 3 is not recommended for finding trades as it represents the most aggressive trades.
Higher Time Frames: Choose 2 timeframes and the types of displayed impulse base lines.
