Futures Settlement [NeoButane]Traders use settlement prices as both support/resistance and as a target for price to trend towards. The intention of this script is to provide possible entry and exit levels for swing and scalp trades by drawing horizontal lines of true settlement prices provided by TradingView.
The settlement price, which is calculated daily, is used to determine the profit/loss of a trader's futures position. Prior to the daily close, price settlement of futures contracts is performed by taking the average of its traded price during a specified period of time.
Usage
The settlement prices, shown as horizontal lines, serve as support or resistance for entry or exit. There are hundreds of ways to combine this with favorite indicators, or it can be used as levels for pure price action traders.
See how settlement price levels can be used in confluence with oscillators.
Configuration
Toggles to show each settlement. Reprint shows prior weeks or months after they've ended. Back-adjusted futures, which affect expired futures price history on continuous futures charts, should only be enabled on non-standard charts to match the user's chart settings.
What this script does
This script plots the daily, weekly, and monthly settlements for futures, including an average for the two most recent weekly or monthly settlements. The weekly settlement uses the last day of the week's daily settlement and the monthly settlement uses the last day of the month's daily settlement. For symbols that do not have settlement prices, which will be almost if not all symbols that are not futures, the settlement price instead becomes price at the last second before the daily/weekly/monthly close. In those cases, this script becomes a tool for automatically plotting daily/weekly/monthly closes.
See below for two different bitcoin charts. The chart on top is a non-futures chart and a futures chart is at the bottom. Note that CME bitcoin futures settle 4 hours (1500 CST) before bitcoin's daily close (UTC).
How this script works
TradingView has a built-in ability to display daily settlements instead of the actual daily close. This can be enabled in chart settings for futures on the daily timeframe and there is an argument for Pine Script to do so as well. Because settlement times are different for multiple products during the day, the script uses the settlement price from daily timeframe, which is guaranteed to be correct because TradingView is wonderful. I accidentally found the undocumented backadjustment and settlement_at_close when I was trying to use ticker.inherit() to create a symbol with its daily close time changed to another symbol's, which I still haven't figured out. TradingView has since added documentation for both of them, but there's still an ambiguous 'etc.' in the description of ticker.inherit() so maybe there's more secret arguments...
The script is able to be used on non-standard charts by using ticker.standard(), but back-adjustment will need to be changed by input to match chart settings.
References
Investopedia explanation of settlement price.
www.investopedia.com
Settlement prices for ES.
www.cmegroup.com
CME summary of settlement price.
www.cmegroup.com
How to enable settlement price as close for daily intervals in TradingView. This does not affect the use of this script.
www.tradingview.com
About back-adjustment for continuous futures charts in TradingView.
www.tradingview.com
在腳本中搜尋"charts"
Smart Money Concepts by WeloTradesThe "Smart Money Concepts by WeloTrades" indicator is designed to offer traders a comprehensive tool that integrates multiple advanced features to aid in market analysis. By combining order blocks, liquidity levels, fair value gaps, trendlines, and market structure analysis, the indicator provides a holistic approach to understanding market dynamics and making informed trading decisions.
Components and Their Integration:
Order Blocks and Breaker Blocks Detection
Functionality: Order blocks represent areas where significant buying or selling occurred, creating potential support or resistance zones. Breaker blocks signal potential reversals.
Integration: By detecting and visualizing these blocks, the indicator helps traders identify key levels where price might react, aiding in entry and exit decisions. The customizable settings allow traders to adjust the visibility and parameters to suit their specific trading strategy.
Liquidity Levels Analysis
Functionality: Liquidity levels indicate zones where significant price movements can occur due to the presence of large orders. These are areas where smart money might be executing trades.
Integration: By tracking these high-probability liquidity areas, traders can anticipate potential price movements. Customizable display limits and mitigation strategies ensure that the information is tailored to the trader’s needs, providing precise and actionable insights.
Fair Value Gaps (FVG)
Functionality: Fair value gaps highlight areas where there is an imbalance between buyers and sellers. These gaps often represent potential trading opportunities.
Integration: The ability to identify and analyze FVGs helps traders spot potential entries based on market inefficiencies. The touch and break detection functionalities provide further refinement, enhancing the precision of trading signals.
Trendlines
Functionality: Trendlines help in identifying the direction of the market and potential reversal points. The additional trendline adds a layer of confirmation for breaks or retests.
Integration: Automatically drawn trendlines assist traders in visualizing market trends and making decisions about potential entries and exits. The additional trendline for stronger confirmation reduces the risk of false signals, providing more reliable trading opportunities.
Market Structure Analysis
Functionality: Understanding market structure is crucial for identifying key support and resistance levels and overall market dynamics. This component displays internal, external, and composite market structures.
Integration: By automatically highlighting shifts in market structure, the indicator helps traders recognize important levels and potential changes in market direction. This analysis is critical for strategic planning and execution in trading.
Customizable Alerts
Functionality: Alerts ensure that traders do not miss significant market events, such as the formation or breach of order blocks, liquidity levels, and trendline interactions.
Integration: Customizable alerts enhance the user experience by providing timely notifications of key events. This feature ensures that traders can act quickly and efficiently, leveraging the insights provided by the indicator.
Interactive Visualization
Functionality: Customizable visual aspects of the indicator allow traders to tailor the display to their preferences and trading style.
Integration: This feature enhances user engagement and usability, making it easier for traders to interpret the data and make informed decisions. Personalization options like colors, styles, and display formats improve the overall effectiveness of the indicator.
How Components Work Together
Comprehensive Market Analysis
Each component of the indicator addresses a different aspect of market analysis. Order blocks and liquidity levels highlight potential support and resistance zones, while fair value gaps and trendlines provide additional context for potential entries and exits. Market structure analysis ties everything together by offering a broad view of market dynamics.
Synergistic Insights
The integration of multiple features allows for cross-validation of trading signals. For instance, an order block coinciding with a high-probability liquidity level and a fair value gap can provide a stronger signal than any of these features alone. This synergy enhances the reliability of the insights and trading signals generated by the indicator.
Enhanced Decision Making
By combining these advanced features into a single tool, traders are equipped with a powerful resource for making informed decisions. The customizable alerts and interactive visualization further support this by ensuring that traders can act quickly on the insights provided.
Order Blocks ( OB) & Breaker Blocks (BB) Visuals:
📝 OB Input Settings
📊 Timeframe #1
TF #1🕑: Enable or disable Timeframe 1.
What it is: A boolean input to toggle the use of the first timeframe.
What it does: Enables or disables Timeframe 1 for the OB settings.
How to use it: Check or uncheck the box to enable or disable.
📊 Timeframe 1 Selection
Timeframe #1🕑: Select the timeframe for Timeframe 1.
What it is: A dropdown to select the desired timeframe.
What it does: Sets the timeframe for Timeframe 1.
How to use it: Choose a timeframe from the dropdown list.
📊 Timeframe #2
TF #2🕑: Enable or disable Timeframe 2.
What it is: A boolean input to toggle the use of the second timeframe.
What it does: Enables or disables Timeframe 2 for the OB settings.
How to use it: Check or uncheck the box to enable or disable.
📊 Timeframe 2 Selection
Timeframe #2🕑: Select the timeframe for Timeframe 2.
What it is: A dropdown to select the desired timeframe.
What it does: Sets the timeframe for Timeframe 2.
How to use it: Choose a timeframe from the dropdown list.
Additional Info: Higher TF Chart & Lower TF Setting / Lower TF Chart & Higher TF Setting.
📏 Show OBs
OB (Length)📏: Toggle the display of Order Blocks.
What it is: A boolean input to enable or disable the display of Order Blocks.
What it does: Shows or hides Order Blocks based on the selected swing length.
How to use it: Check or uncheck the box to enable or disable.
📏 Swing Length Option
Swing Length Option: Select the swing length option.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of swings for Order Blocks.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=10, MID=28, LONG=50.
🔧 Custom Swing Length
🔧custom: Specify a custom swing length.
What it is: An integer input for setting a custom swing length.
What it does: Overrides the default swing lengths if set to CUSTOM.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
📛 Show BBs
BB (Method)📛: Toggle the display of Breaker Blocks.
What it is: A boolean input to enable or disable the display of Breaker Blocks.
What it does: Shows or hides Breaker Blocks.
How to use it: Check or uncheck the box to enable or disable.
📛 OB End Method
OB End Method: Select the method for determining the end of a Breaker Block.
What it is: A dropdown to choose between Wick and Close.
What it does: Sets the criteria for when a Breaker Block is considered mitigated.
How to use it: Choose an option from the dropdown.
Additional Info: Wicks: OB is mitigated when the price wicks through the OB Level. Close: OB is mitigated when the closing price is within the OB Level.
🔍 Max Bullish Zones
🔍Max Bullish: Set the maximum number of Bullish Order Blocks to display.
What it is: A dropdown to select the maximum number of Bullish Order Blocks.
What it does: Limits the number of Bullish Order Blocks shown on the chart.
How to use it: Choose a value from the dropdown (1-10).
🔍 Max Bearish Zones
🔍Max Bearish: Set the maximum number of Bearish Order Blocks to display.
What it is: A dropdown to select the maximum number of Bearish Order Blocks.
What it does: Limits the number of Bearish Order Blocks shown on the chart.
How to use it: Choose a value from the dropdown (1-10).
🟩 Bullish OB Color
Bullish OB Color: Set the color for Bullish Order Blocks.
What it is: A color picker to set the color of Bullish Order Blocks.
What it does: Changes the color of Bullish Order Blocks on the chart.
How to use it: Select a color from the color picker.
🟥 Bearish OB Color
Bearish OB Color: Set the color for Bearish Order Blocks.
What it is: A color picker to set the color of Bearish Order Blocks.
What it does: Changes the color of Bearish Order Blocks on the chart.
How to use it: Select a color from the color picker.
🔧 OB & BB Range
↔ OB & BB Range: Select the range option for OB and BB.
What it is: A dropdown to choose between RANGE and CUSTOM.
What it does: Sets how far the OB or BB should extend.
How to use it: Choose an option from the dropdown.
Additional Info: RANGE = Current price, CUSTOM = Adjustable Range.
🔧 Custom OB & BB Range
🔧Custom: Specify a custom range for OB and BB.
What it is: An integer input for setting a custom range.
What it does: Defines how far the OB or BB should go, based on a custom value.
How to use it: Enter a custom integer value (range: 1000-500000).
💬 Text Options
💬Text Options: Set text size and color for OB and BB.
What it is: A dropdown to select text size and a color picker to choose text color.
What it does: Changes the size and color of the text displayed for OB and BB.
How to use it: Select a size from the dropdown and a color from the color picker.
💬 Show Timeframe OB
Text: Toggle to display the timeframe of OB.
What it is: A boolean input to show or hide the timeframe text for OB.
What it does: Displays the timeframe information for Order Blocks on the chart.
How to use it: Check or uncheck the box to enable or disable.
💬 Show Volume
Volume: Toggle to display the volume of OB.
What it is: A boolean input to show or hide the volume information for Order Blocks.
What it does: Displays the volume information for Order Blocks on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The volume displayed represents the total trading volume that occurred during the formation of the Order Block. This can indicate the level of participation or interest in that price level.
How it's calculated: The volume is the sum of all traded volumes within the candles that form the Order Block.
What it means: Higher volume at an Order Block level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the Order Block.
Why it's shown: To give traders an idea of the market participation and to help assess the strength of the Order Block.
💬 Show Percentage
%: Toggle to display the percentage of OB.
What it is: A boolean input to show or hide the percentage information for Order Blocks.
What it does: Displays the percentage information for Order Blocks on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The percentage displayed usually represents the proportion of price movement relative to the Order Block.
How it's calculated: This can be the percentage move from the start to the end of the Order Block or the retracement level that price has reached relative to the Order Block's range.
What it means: It helps traders understand the extent of price movement within the Order Block and can indicate the significance of the price level.
Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the Order Block within the overall price movement.
Additional Information
Volume Example: If an Order Block forms over three candles with volumes of 100, 150, and 200, the total volume displayed for that Order Block would be 450.
Percentage Example: If the price moves from 100 to 110 within an Order Block, and the total range of the Order Block is from 100 to 120, the percentage shown might be 50% (since the price has moved halfway through the Order Block's range).
Liquidity Levels visuals:
📊 Liquidity Levels Input Settings
📊 Current Timeframe
TF #1🕑: Enable or disable the current timeframe.
What it is: A boolean input to toggle the use of the current timeframe.
What it does: Enables or disables the display of liquidity levels for the current timeframe.
How to use it: Check or uncheck the box to enable or disable.
📊 Higher Timeframe
Higher Timeframe: Select the higher timeframe for liquidity levels.
What it is: A dropdown to select the desired higher timeframe.
What it does: Sets the higher timeframe for liquidity levels.
How to use it: Choose a timeframe from the dropdown list.
📏 Liquidity Length Option
📏Liquidity Length: Select the length for liquidity levels.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of swings for liquidity levels.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=10, MID=28, LONG=50.
🔧 Custom Liquidity Length
🔧custom: Specify a custom length for liquidity levels.
What it is: An integer input for setting a custom swing length.
What it does: Overrides the default liquidity lengths if set to CUSTOM.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
📛 Mitigation Method
📛Mitigation (Method): Select the method for determining the mitigation of liquidity levels.
What it is: A dropdown to choose between Close and Wick.
What it does: Sets the criteria for when a liquidity level is considered mitigated.
How to use it: Choose an option from the dropdown.
Additional Info:
Wick: Level is mitigated when the price wicks through the level.
Close: Level is mitigated when the closing price is within the level.
📛 Display Mitigated Levels
-: Select to display or hide mitigated levels.
What it is: A dropdown to choose between Remove and Show.
What it does: Displays or hides mitigated liquidity levels.
How to use it: Choose an option from the dropdown.
Additional Info:
Remove: Hide mitigated levels.
Show: Display mitigated levels.
🔍 Max Buy Side Liquidity
🔍Max Buy Side Liquidity: Set the maximum number of Buy Side Liquidity Levels to display.
What it is: An integer input to set the maximum number of Buy Side Liquidity Levels.
What it does: Limits the number of Buy Side Liquidity Levels shown on the chart.
How to use it: Enter a value between 0 and 50.
🟦 Buy Side Liquidity Color
Buy Side Liquidity Color: Set the color for Buy Side Liquidity Levels.
What it is: A color picker to set the color of Buy Side Liquidity Levels.
What it does: Changes the color of Buy Side Liquidity Levels on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Buy Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50.
If liquidity levels are not displayed as expected, try increasing the max count.
🔍 Max Sell Side Liquidity
🔍Max Sell Side Liquidity: Set the maximum number of Sell Side Liquidity Levels to display.
What it is: An integer input to set the maximum number of Sell Side Liquidity Levels.
What it does: Limits the number of Sell Side Liquidity Levels shown on the chart.
How to use it: Enter a value between 0 and 50.
🟥 Sell Side Liquidity Color
Sell Side Liquidity Color: Set the color for Sell Side Liquidity Levels.
What it is: A color picker to set the color of Sell Side Liquidity Levels.
What it does: Changes the color of Sell Side Liquidity Levels on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Sell Side Liquidity Levels to display. Default: 5, Min: 1, Max: 50.
If liquidity levels are not displayed as expected, try increasing the max count.
✂ Box Style (Height)
✂ Box Style (↕): Set the box height style for liquidity levels.
What it is: A float input to set the height of the boxes.
What it does: Adjusts the height of the boxes displaying liquidity levels.
How to use it: Enter a value between -50 and 50.
Additional Info: Default value is -5.
📏 Box Length
b: Set the box length of liquidity levels.
What it is: An integer input to set the length of the boxes.
What it does: Adjusts the length of the boxes displaying liquidity levels.
How to use it: Enter a value between 0 and 500.
Additional Info: Default value is 20.
⏭ Extend Liquidity Levels
Extend ⏭: Toggle to extend liquidity levels beyond the current range.
What it is: A boolean input to enable or disable the extension of liquidity levels.
What it does: Extends liquidity levels beyond their default range.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: Extend liquidity levels beyond the current range.
💬 Text Options
💬 Text Options: Set text size and color for liquidity levels.
What it is: A dropdown to select text size and a color picker to choose text color.
What it does: Changes the size and color of the text displayed for liquidity levels.
How to use it: Select a size from the dropdown and a color from the color picker.
💬 Show Text
Text: Toggle to display text for liquidity levels.
What it is: A boolean input to show or hide the text for liquidity levels.
What it does: Displays the text information for liquidity levels on the chart.
How to use it: Check or uncheck the box to enable or disable.
💬 Show Volume
Volume: Toggle to display the volume of liquidity levels.
What it is: A boolean input to show or hide the volume information for liquidity levels.
What it does: Displays the volume information for liquidity levels on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The volume displayed represents the total trading volume that occurred during the formation of the liquidity level. This can indicate the level of participation or interest in that price level.
How it's calculated: The volume is the sum of all traded volumes within the candles that form the liquidity level.
What it means: Higher volume at a liquidity level may suggest stronger support or resistance. It shows the amount of trading activity and can be an indicator of the potential strength or validity of the liquidity level.
Why it's shown: To give traders an idea of the market participation and to help assess the strength of the liquidity level.
💬 Show Percentage
%: Toggle to display the percentage of liquidity levels.
What it is: A boolean input to show or hide the percentage information for liquidity levels.
What it does: Displays the percentage information for liquidity levels on the chart.
How to use it: Check or uncheck the box to enable or disable.
Additional Info:
What it represents: The percentage displayed usually represents the proportion of price movement relative to the liquidity level.
How it's calculated: This can be the percentage move from the start to the end of the liquidity level or the retracement level that price has reached relative to the liquidity level's range.
What it means: It helps traders understand the extent of price movement within the liquidity level and can indicate the significance of the price level.
Why it's shown: To provide a clearer understanding of the price dynamics and the importance of the liquidity level within the overall price movement.
Fair Value Gaps visuals:
📊 Fair Value Gaps Input Settings
📊 Show FVG
TF #1🕑: Enable or disable Fair Value Gaps for Timeframe 1.
What it is: A boolean input to toggle the display of Fair Value Gaps.
What it does: Shows or hides Fair Value Gaps on the chart.
How to use it: Check or uncheck the box to enable or disable.
📊 Select Timeframe
Timeframe: Select the timeframe for Fair Value Gaps.
What it is: A dropdown to select the desired timeframe.
What it does: Sets the timeframe for Fair Value Gaps.
How to use it: Choose a timeframe from the dropdown list.
Additional Info: Higher TF Chart & Lower TF Setting or Lower TF Chart & Higher TF Setting.
📛 FVG Break Method
📛FVG Break (Method): Select the method for determining when an FVG is mitigated.
What it is: A dropdown to choose between Touch, Wicks, Close, or Average.
What it does: Sets the criteria for when a Fair Value Gap is considered mitigated.
How to use it: Choose an option from the dropdown.
Additional Info:
Touch: FVG is mitigated when the price touches the gap.
Wicks: FVG is mitigated when the price wicks through the gap.
Close: FVG is mitigated when the closing price is within the gap.
Average: FVG is mitigated when the average price (average of high and low) is within the gap.
📛 Show Mitigated FVG
show: Toggle to display mitigated FVGs.
What it is: A boolean input to show or hide mitigated Fair Value Gaps.
What it does: Displays or hides mitigated Fair Value Gaps.
How to use it: Check or uncheck the box to enable or disable.
📛 Fill FVG
Fill: Toggle to fill Fair Value Gaps.
What it is: A boolean input to fill the Fair Value Gaps with color.
What it does: Adds a color fill to the Fair Value Gaps.
How to use it: Check or uncheck the box to enable or disable.
📛 Shade FVG
Shade: Toggle to shade Fair Value Gaps.
What it is: A boolean input to shade the Fair Value Gaps.
What it does: Adds a shade effect to the Fair Value Gaps.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: Select the method to break FVGs and toggle the visibility of FVG Breaks (fill FVG and/or shade FVG).
🔍 Max Bullish FVG
🔍Max Bullish FVG: Set the maximum number of Bullish Fair Value Gaps to display.
What it is: An integer input to set the maximum number of Bullish Fair Value Gaps.
What it does: Limits the number of Bullish Fair Value Gaps shown on the chart.
How to use it: Enter a value between 0 and 50.
🔍 Max Bearish FVG
🔍Max Bearish FVG: Set the maximum number of Bearish Fair Value Gaps to display.
What it is: An integer input to set the maximum number of Bearish Fair Value Gaps.
What it does: Limits the number of Bearish Fair Value Gaps shown on the chart.
How to use it: Enter a value between 0 and 50.
🟥 Bearish FVG Color
Bearish FVG Color: Set the color for Bearish Fair Value Gaps.
What it is: A color picker to set the color of Bearish Fair Value Gaps.
What it does: Changes the color of Bearish Fair Value Gaps on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Bearish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50.
If Fair Value Gaps are not displayed as expected, try increasing the max count.
🟦 Bullish FVG Color
Bullish FVG Color: Set the color for Bullish Fair Value Gaps.
What it is: A color picker to set the color of Bullish Fair Value Gaps.
What it does: Changes the color of Bullish Fair Value Gaps on the chart.
How to use it: Select a color from the color picker.
Additional Info:
Tooltip: Set the maximum number of Bullish Fair Value Gaps to display. Default: 5, Min: 1, Max: 50.
If Fair Value Gaps are not displayed as expected, try increasing the max count.
📏 FVG Range
↔ FVG Range: Set the range for Fair Value Gaps.
What it is: An integer input to set the range of the Fair Value Gaps.
What it does: Adjusts the range of the Fair Value Gaps displayed.
How to use it: Enter a value between 0 and 100.
Additional Info: Adjustable length only works when both RANGE & EXTEND display OFF. Range=current price, Extend=Full Range.
⏭ Extend FVG
Extend⏭: Toggle to extend Fair Value Gaps beyond the current range.
What it is: A boolean input to enable or disable the extension of Fair Value Gaps.
What it does: Extends Fair Value Gaps beyond their default range.
How to use it: Check or uncheck the box to enable or disable.
⏯ FVG Range
Range⏯: Toggle the range of Fair Value Gaps.
What it is: A boolean input to enable or disable the range display for Fair Value Gaps.
What it does: Sets the range of Fair Value Gaps displayed.
How to use it: Check or uncheck the box to enable or disable.
↕ Max Width
↕ Max Width: Set the maximum width of Fair Value Gaps.
What it is: A float input to set the maximum width of Fair Value Gaps.
What it does: Limits the width of Fair Value Gaps as a percentage of the price range.
How to use it: Enter a value between 0 and 5.0.
Additional Info: FVGs wider than this value will be ignored.
♻ Filter FVG
Filter FVG ♻: Toggle to filter out small Fair Value Gaps.
What it is: A boolean input to filter out small Fair Value Gaps.
What it does: Ignores Fair Value Gaps smaller than the specified max width.
How to use it: Check or uncheck the box to enable or disable.
➖ Mid Line Style
➖Mid Line Style: Select the style of the mid line for Fair Value Gaps.
What it is: A dropdown to choose between Solid, Dashed, or Dotted.
What it does: Sets the style of the mid line within Fair Value Gaps.
How to use it: Choose an option from the dropdown.
🎨 Mid Line Color
Mid Line Color: Set the color for the mid line within Fair Value Gaps.
What it is: A color picker to set the color of the mid line.
What it does: Changes the color of the mid line within Fair Value Gaps.
How to use it: Select a color from the color picker.
Additional Information
Mitigation Methods: Each method (Touch, Wicks, Close, Average) provides different criteria for when a Fair Value Gap is considered mitigated, helping traders to understand the dynamics of price movements within gaps.
Volume and Percentage: Displaying volume and percentage information for Fair Value Gaps helps traders gauge the strength and significance of these gaps in relation to trading activity and price movements.
Trendlines visuals:
📊 Trendlines Input Settings
📊 Show Trendlines
Trendlines & Trendlines Difference(%) ↕: Enable or disable trendlines and set the percentage difference from the first trendline.
What it is: A boolean input to toggle the display of trendlines.
What it does: Shows or hides trendlines on the chart and allows setting a percentage difference from the first trendline.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: The percentage difference determines the distance of the second trendline from the first one.
📏 Trendline Length Option
📏Trendline Length: Select the length for trendlines.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of trendlines.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=50, MID=100, LONG=200.
🔧 Custom Trendline Length
🔧custom: Specify a custom length for trendlines.
What it is: An integer input for setting a custom trendline length.
What it does: Overrides the default trendline lengths if set to CUSTOM.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
🔍 Max Bearish Trendlines
🔍Max Trendlines Bearish: Set the maximum number of bearish trendlines to display.
What it is: A dropdown to select the maximum number of bearish trendlines.
What it does: Limits the number of bearish trendlines shown on the chart.
How to use it: Choose a value from the dropdown (2-20).
🟩 Bearish Trendline Color
Bearish Trendline Color: Set the color for bearish trendlines.
What it is: A color picker to set the color of bearish trendlines.
What it does: Changes the color of bearish trendlines on the chart.
How to use it: Select a color from the color picker.
Additional Info: Adjust to control how many bearish trendlines are displayed.
🔍 Max Bullish Trendlines
🔍Max Trendlines Bullish: Set the maximum number of bullish trendlines to display.
What it is: A dropdown to select the maximum number of bullish trendlines.
What it does: Limits the number of bullish trendlines shown on the chart.
How to use it: Choose a value from the dropdown (2-20).
🟥 Bullish Trendline Color
Bullish Trendline Color: Set the color for bullish trendlines.
What it is: A color picker to set the color of bullish trendlines.
What it does: Changes the color of bullish trendlines on the chart.
How to use it: Select a color from the color picker.
Additional Info: Adjust to control how many bullish trendlines are displayed.
📐 Degrees Text
📐Degrees ° (💬 Size): Enable or disable degrees text and set its size and color.
What it is: A boolean input to show or hide the degrees text for trendlines.
What it does: Displays the degrees text for trendlines.
How to use it: Check or uncheck the box to enable or disable.
📏 Text Size for Degrees
Text Size: Set the text size for degrees on trendlines.
What it is: A dropdown to select the size of the degrees text.
What it does: Changes the size of the degrees text displayed for trendlines.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🎨 Degrees Text Color
Degrees Text Color: Set the color for the degrees text on trendlines.
What it is: A color picker to set the color of the degrees text.
What it does: Changes the color of the degrees text on the chart.
How to use it: Select a color from the color picker.
♻ Filter Degrees
♻ Filter Degrees °: Enable or disable angle filtering and set the angle range.
What it is: A boolean input to filter trendlines by their angle.
What it does: Shows only trendlines within a specified angle range.
How to use it: Check or uncheck the box to enable or disable.
Additional Info: Angles outside this range will be filtered out.
🔢 Angle Range
Angle Range: Set the angle range for filtering trendlines.
What it is: Two float inputs to set the minimum and maximum angle for trendlines.
What it does: Defines the range of angles for which trendlines will be shown.
How to use it: Enter values for the minimum and maximum angles.
➖ Line Style
➖Style #1 & #2: Select the style of the primary and secondary trendlines.
What it is: Two dropdowns to choose between Solid, Dashed, or Dotted for the trendlines.
What it does: Sets the style of the primary and secondary trendlines.
How to use it: Choose a style from each dropdown.
📏 Line Thickness
: Set the thickness for the trendlines.
What it is: An integer input to set the thickness of the trendlines.
What it does: Adjusts the thickness of the trendlines displayed on the chart.
How to use it: Enter a value between 1 and 5.
Additional Information
Trendline Percentage Difference: Setting a percentage difference helps in analyzing the relative position and angle of trendlines.
Filtering by Angle: This feature allows focusing on trendlines within a specific angle range, enhancing the clarity of trend analysis.
BOS & CHOCH Market Structure visuals:
📊 BOS & CHOCH Market Structure Input Settings
📏 Market Structure Length Option
📏Market Structure: Select the market structure length option.
What it is: A dropdown to choose between INTERNAL, EXTERNAL, ALL, CUSTOM, or NONE.
What it does: Sets the type of market structure to be displayed.
How to use it: Choose an option from the dropdown.
Additional Info:
INTERNAL: Only internal structure.
EXTERNAL: Only external structure.
ALL: Both internal and external structures.
CUSTOM: Custom lengths.
NONE: No structure.
🔧 Custom Internal Length
🔧Custom Internal: Specify a custom length for internal market structure.
What it is: An integer input for setting a custom internal length.
What it does: Defines the length of internal market structures if CUSTOM is selected.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
💬 Internal Label Size
💬Internal Label Size: Set the label size for internal market structures.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for internal market structures.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🟩 Internal Bullish Color
Internal Bullish Color: Set the color for bullish internal market structures.
What it is: A color picker to set the color of bullish internal market structures.
What it does: Changes the color of bullish internal market structures on the chart.
How to use it: Select a color from the color picker.
🟥 Internal Bearish Color
Internal Bearish Color: Set the color for bearish internal market structures.
What it is: A color picker to set the color of bearish internal market structures.
What it does: Changes the color of bearish internal market structures on the chart.
How to use it: Select a color from the color picker.
🔧 Custom External Length
🔧Custom External: Specify a custom length for external market structure.
What it is: An integer input for setting a custom external length.
What it does: Defines the length of external market structures if CUSTOM is selected.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
💬 External Label Size
💬External Label Size: Set the label size for external market structures.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for external market structures.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🟩 External Bullish Color
External Bullish Color: Set the color for bullish external market structures.
What it is: A color picker to set the color of bullish external market structures.
What it does: Changes the color of bullish external market structures on the chart.
How to use it: Select a color from the color picker.
🟥 External Bearish Color
External Bearish Color: Set the color for bearish external market structures.
What it is: A color picker to set the color of bearish external market structures.
What it does: Changes the color of bearish external market structures on the chart.
How to use it: Select a color from the color picker.
📐 Show Equal Highs and Lows
EQL & EQH📐: Toggle visibility for equal highs and lows.
What it is: A boolean input to show or hide equal highs and lows.
What it does: Displays or hides equal highs and lows on the chart.
How to use it: Check or uncheck the box to enable or disable.
📏 Equal Highs and Lows Threshold
Equal Highs and Lows Threshold: Set the threshold for equal highs and lows.
What it is: A float input to set the threshold for equal highs and lows.
What it does: Defines the range within which highs and lows are considered equal.
How to use it: Enter a value between 0 and 10.
💬 Label Size for Equal Highs and Lows
💬Label Size for Equal Highs and Lows: Set the label size for equal highs and lows.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for equal highs and lows.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🟩 Bullish Color for Equal Highs and Lows
Bullish Color for Equal Highs and Lows: Set the color for bullish equal highs and lows.
What it is: A color picker to set the color of bullish equal highs and lows.
What it does: Changes the color of bullish equal highs and lows on the chart.
How to use it: Select a color from the color picker.
🟥 Bearish Color for Equal Highs and Lows
Bearish Color for Equal Highs and Lows: Set the color for bearish equal highs and lows.
What it is: A color picker to set the color of bearish equal highs and lows.
What it does: Changes the color of bearish equal highs and lows on the chart.
How to use it: Select a color from the color picker.
📏 Show Swing Points
Swing Points📏: Toggle visibility for swing points.
What it is: A boolean input to show or hide swing points.
What it does: Displays or hides swing points on the chart.
How to use it: Check or uncheck the box to enable or disable.
📏 Swing Points Length Option
Swing Points Length Option: Select the length for swing points.
What it is: A dropdown to choose between SHORT, MID, LONG, or CUSTOM.
What it does: Sets the length of swing points.
How to use it: Choose an option from the dropdown.
Additional Info: Default lengths are SHORT=10, MID=28, LONG=50.
💬 Swing Points Label Size
💬Swing Points Label Size: Set the label size for swing points.
What it is: A dropdown to select the size of the labels.
What it does: Changes the size of the labels for swing points.
How to use it: Choose a size from the dropdown (XS, S, M, L, XL).
🎨 Swing Points Color
Swing Points Color: Set the color for swing points.
What it is: A color picker to set the color of swing points.
What it does: Changes the color of swing points on the chart.
How to use it: Select a color from the color picker.
🔧 Custom Swing Points Length
🔧Custom Swings: Specify a custom length for swing points.
What it is: An integer input for setting a custom length for swing points.
What it does: Defines the length of swing points if CUSTOM is selected.
How to use it: Enter a custom integer value (only shown when CUSTOM is selected).
Additional Information
Market Structure Types: Understanding internal and external structures helps in analyzing different market behaviors.
Equal Highs and Lows: This feature identifies areas where price action is balanced, which can be significant for trading strategies.
Swing Points: Highlighting swing points aids in recognizing significant market reversals or continuations.
Benefits
Enhance your trading strategy by visualizing smart money's influence on price movements.
Make informed decisions with real-time data on significant market structures.
Reduce manual analysis with automated detection of key trading signals.
Ideal For
Traders looking for an edge in forex, equities, and cryptocurrency markets by understanding the underlying forces driving market dynamics.
Acknowledgements
Special thanks to these amazing creators for inspiration and their creations:
I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible!
Flux Charts: Volumized Order Blocks
LuxAlgo: Trend Lines
UAlgo: Fair Value Gaps (FVG)
By Leviathan: Market Structure
Sonarlab: Liquidity Levels
Note
Remember to always backtest the indicator first before integrating it into your strategy! For any questions about the indicator, please feel free to ask for assistance.
ICT Killzones and Sessions W/ Silver Bullet + MacrosForex and Equity Session Tracker with Killzones, Silver Bullet, and Macro Times
This Pine Script indicator is a comprehensive timekeeping tool designed specifically for ICT traders using any time-based strategy. It helps you visualize and keep track of forex and equity session times, kill zones, macro times, and silver bullet hours.
Features:
Session and Killzone Lines:
Green: London Open (LO)
White: New York (NY)
Orange: Australian (AU)
Purple: Asian (AS)
Includes AM and PM session markers.
Dotted/Striped Lines indicate overlapping kill zones within the session timeline.
Customization Options:
Display sessions and killzones in collapsed or full view.
Hide specific sessions or killzones based on your preferences.
Customize colors, texts, and sizes.
Option to hide drawings older than the current day.
Automatic Updates:
The indicator draws all lines and boxes at the start of a new day.
Automatically adjusts time-based boxes according to the New York timezone.
Killzone Time Windows (for indices):
London KZ: 02:00 - 05:00
New York AM KZ: 07:00 - 10:00
New York PM KZ: 13:30 - 16:00
Silver Bullet Times:
03:00 - 04:00
10:00 - 11:00
14:00 - 15:00
Macro Times:
02:33 - 03:00
04:03 - 04:30
08:50 - 09:10
09:50 - 10:10
10:50 - 11:10
11:50 - 12:50
Latest Update:
January 15:
Added option to automatically change text coloring based on the chart.
Included additional optional macro times per user request:
12:50 - 13:10
13:50 - 14:15
14:50 - 15:10
15:50 - 16:15
Usage:
To maximize your experience, minimize the pane where the script is drawn. This minimizes distractions while keeping the essential time markers visible. The script is designed to help traders by clearly annotating key trading periods without overwhelming their charts.
Originality and Justification:
This indicator uniquely integrates various time-based strategies essential for ICT traders. Unlike other indicators, it consolidates session times, kill zones, macro times, and silver bullet hours into one comprehensive tool. This allows traders to have a clear and organized view of critical trading periods, facilitating better decision-making.
Credits:
This script incorporates open-source elements with significant improvements to enhance functionality and user experience.
Forex and Equity Session Tracker with Killzones, Silver Bullet, and Macro Times
This Pine Script indicator is a comprehensive timekeeping tool designed specifically for ICT traders using any time-based strategy. It helps you visualize and keep track of forex and equity session times, kill zones, macro times, and silver bullet hours.
Features:
Session and Killzone Lines:
Green: London Open (LO)
White: New York (NY)
Orange: Australian (AU)
Purple: Asian (AS)
Includes AM and PM session markers.
Dotted/Striped Lines indicate overlapping kill zones within the session timeline.
Customization Options:
Display sessions and killzones in collapsed or full view.
Hide specific sessions or killzones based on your preferences.
Customize colors, texts, and sizes.
Option to hide drawings older than the current day.
Automatic Updates:
The indicator draws all lines and boxes at the start of a new day.
Automatically adjusts time-based boxes according to the New York timezone.
Killzone Time Windows (for indices):
London KZ: 02:00 - 05:00
New York AM KZ: 07:00 - 10:00
New York PM KZ: 13:30 - 16:00
Silver Bullet Times:
03:00 - 04:00
10:00 - 11:00
14:00 - 15:00
Macro Times:
02:33 - 03:00
04:03 - 04:30
08:50 - 09:10
09:50 - 10:10
10:50 - 11:10
11:50 - 12:50
Latest Update:
January 15:
Added option to automatically change text coloring based on the chart.
Included additional optional macro times per user request:
12:50 - 13:10
13:50 - 14:15
14:50 - 15:10
15:50 - 16:15
ICT Sessions and Kill Zones
What They Are:
ICT Sessions: These are specific times during the trading day when market activity is expected to be higher, such as the London Open, New York Open, and the Asian session.
Kill Zones: These are specific time windows within these sessions where the probability of significant price movements is higher. For example, the New York AM Kill Zone is typically from 8:30 AM to 11:00 AM EST.
How to Use Them:
Identify the Session: Determine which trading session you are in (London, New York, or Asian).
Focus on Kill Zones: Within that session, focus on the kill zones for potential trade setups. For instance, during the New York session, look for setups between 8:30 AM and 11:00 AM EST.
Silver Bullets
What They Are:
Silver Bullets: These are specific, high-probability trade setups that occur within the kill zones. They are designed to be "one shot, one kill" trades, meaning they aim for precise and effective entries and exits.
How to Use Them:
Time-Based Setup: Look for these setups within the designated kill zones. For example, between 10:00 AM and 11:00 AM for the New York AM session .
Chart Analysis: Start with higher time frames like the 15-minute chart and then refine down to 5-minute and 1-minute charts to identify imbalances or specific patterns .
Macros
What They Are:
Macros: These are broader market conditions and trends that influence your trading decisions. They include understanding the overall market direction, seasonal tendencies, and the Commitment of Traders (COT) reports.
How to Use Them:
Understand Market Conditions: Be aware of the macroeconomic factors and market conditions that could affect price movements.
Seasonal Tendencies: Know the seasonal patterns that might influence the market direction.
COT Reports: Use the Commitment of Traders reports to understand the positioning of large traders and commercial hedgers .
Putting It All Together
Preparation: Understand the macro conditions and review the COT reports.
Session and Kill Zone: Identify the trading session and focus on the kill zones.
Silver Bullet Setup: Look for high-probability setups within the kill zones using refined chart analysis.
Execution: Execute the trade with precision, aiming for a "one shot, one kill" outcome.
By following these steps, you can effectively use ICT sessions, kill zones, silver bullets, and macros to enhance your trading strategy.
Usage:
To maximize your experience, shrink the pane where the script is drawn. This minimizes distractions while keeping the essential time markers visible. The script is designed to help traders by clearly annotating key trading periods without overwhelming their charts.
Originality and Justification:
This indicator uniquely integrates various time-based strategies essential for ICT traders. Unlike other indicators, it consolidates session times, kill zones, macro times, and silver bullet hours into one comprehensive tool. This allows traders to have a clear and organized view of critical trading periods, facilitating better decision-making.
Credits:
This script incorporates open-source elements with significant improvements to enhance functionality and user experience. All credit goes to itradesize for the SB + Macro boxes
Psychological Lines
**The Option Chain Shows Strike Price Levels per Index Option**
- **Bank Nifty Index:** 100-point difference or gap between two strike prices.
- **Nifty 50 Index:** 50-point difference or gap between two strike prices.
- **FinNifty 50 Index:** 50-point difference or gap between two strike prices.
**Importance of These Levels:**
- When prices trade at these levels, the option premium either increases or decreases.
- Round numbers always affect option prices.
- Psychological round numbers have a significant impact and act as support and resistance.
- More strangle or straddle positions are created at these levels.
- More call writers or put writers trade at these levels.
**Benefits of Plotting Levels on Charts:**
- Having levels to plot on the chart is always helpful while trading and aids in taking trade positions accordingly.
**Indicator Features:**
- Helps users with various functionalities.
- Allows users to plot lines as needed and adjust the gap between lines as per requirements or option strikes.
- User input to show the number of lines on the chart.
- Tooltip on each level, indicating the current price (LTP) and the difference in points from the LTP.
- Simple to use.
- User-friendly.
- Enhances trading experience with the help of lines.
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These adjustments should make the text clearer and more professional. If you need any further changes, feel free to ask!
Cot Histogram | MercorCot Histogram | Mercor
Overview:
The Cot Histogram | Mercor indicator provides a comprehensive visualization of the Commitment of Traders (COT) report data using bar charts. This indicator is designed to help traders analyze the positions held by commercial traders and large speculators in various markets. By representing the data as histograms, traders can easily interpret the long and short positions, as well as the net positions of these market participants.
Originality:
What sets the Cot Histogram | Mercor indicator apart is its unique approach to visualizing COT data using bar charts instead of traditional line charts. This method offers a clearer representation of the data, making it easier for traders to spot trends and changes in market sentiment. Additionally, the indicator allows for customization of colors and bar widths, providing a tailored experience for each user.
Features:
Show Shorts as Negative Numbers: This option allows users to display short positions as negative values, providing a more intuitive visualization.
Invert Colors: Users can invert the default colors for long and short positions, enabling better contrast and visual preference.
Bar Width: Adjust the width of the histogram bars to suit personal preferences and chart aesthetics.
Concepts Underlying the Calculations:
The Commitment of Traders (COT) report is a weekly publication by the Commodity Futures Trading Commission (CFTC) that provides a breakdown of the open interest positions of market participants in futures markets. This indicator focuses on two main categories of traders:
Commercial Traders: These are entities involved in the production, processing, or merchandising of a commodity. Their positions are typically hedging-oriented.
Large Speculators: These include institutional investors, hedge funds, and other entities that take positions based on market trends and expectations, often for speculative purposes.
The indicator calculates and plots the following metrics:
Commercial Long: The number of long positions held by commercial traders.
Commercial Short: The number of short positions held by commercial traders.
Commercial Net: The difference between commercial long and short positions.
Large Speculators Long: The number of long positions held by large speculators.
Large Speculators Short: The number of short positions held by large speculators.
Large Speculators Net: The difference between long and short positions of large speculators.
How to Use:
Load the Indicator: Add the Cot Histogram | Mercor indicator to your TradingView chart.
Customize Settings: Adjust the settings according to your preferences:
Enable or disable the "Show Shorts as Negative Numbers" option.
Invert the colors if needed.
Adjust the bar width for better visual representation.
Interpret the Data: Use the histograms to analyze the market positions:
Commercial Long and Short: Observe the positions held by commercial traders. Increasing long positions may indicate hedging against potential price increases, while increasing short positions may suggest hedging against potential price decreases.
Large Speculators Long and Short: Monitor the positions of large speculators to gauge market sentiment. A rise in long positions by large speculators often indicates bullish sentiment, while a rise in short positions suggests bearish sentiment.
Net Positions: The net positions provide a clearer picture of the overall stance of commercial traders and large speculators.
Example:
If you notice that commercial traders are increasing their long positions while large speculators are increasing their short positions, it may indicate a divergence in market expectations between hedgers and speculators. This could be a signal to further investigate potential market reversals or confirm existing trends.
By leveraging the Cot Histogram | Mercor indicator, traders can gain valuable insights into market dynamics, improve their trading strategies, and make more informed decisions. Whether you are a long-term investor or a short-term trader, understanding the positions of different market participants can provide a significant edge in the markets.
Lower Timeframe Volume BarsDescription:
The Lower Timeframe Volume Bars indicator enhances your TradingView experience by allowing you to visualize volume data from lower timeframes on your current chart. This powerful tool helps you gain deeper insights into volume trends and activity that are not immediately visible on higher timeframe charts. Specifically, it shows the volume data from the last bar of the selected lower timeframe.
Key Features:
Volume Bars from Lower Timeframes:
Display volume data from 1-minute or 1-second timeframes directly on higher timeframe charts, such as 15 minutes or 1 hour.
Each volume bar represents the aggregated volume from the lower timeframe within the selected higher timeframe period.
Enhanced Volume Analysis:
Gain a more detailed understanding of volume spikes and troughs that may be hidden in higher timeframe charts.
Identify potential market turning points and confirm trends with precise volume data.
Customizable Display:
Adjust the appearance of volume bars to fit your chart style and preferences.
Configure settings such as color, size, and positioning of volume bars for optimal visibility and clarity.
Seamless Integration:
Easily add the indicator to any chart in TradingView with a few clicks.
Works in conjunction with other technical indicators and tools to provide a comprehensive analysis environment.
How to Use:
Add the Lower Timeframe Volume Bars indicator to your chart.
Select the lower timeframe you wish to fetch volume data from (e.g., 1-minute or 1-second).
Customize the display settings to match your charting style.
Observe the volume bars overlaying your current chart to analyze volume activity across different timeframes, specifically showing the last bar's volume.
Use the detailed volume information to make informed trading decisions and enhance your market analysis.
Benefits:
Increased Clarity: See detailed volume activity that is often lost in higher timeframe aggregation.
Better Decision Making: Make more informed trading decisions with a clear view of volume trends and spikes.
Improved Trend Confirmation: Use lower timeframe volume data to confirm the strength and sustainability of market trends.
Enhance your trading strategy and gain a deeper understanding of market dynamics with the Lower Timeframe Volume Bars indicator. Visualize, analyze, and trade with confidence by leveraging detailed volume insights from lower timeframes.
Volume Spike IndicatorHello dear traders,
Today we're discussing an indicator I've coded: the Volume Spike Indicator (VSI).
The indicator isn't a groundbreaking invention and certainly not a novelty. Nevertheless, I haven't seen this version of the indicator on TradingView before, so I'd like to introduce it.
1. The Origin of the Idea:
We're all familiar with volume charts: A volume chart visually represents the trading activity for a specific asset over a certain period, indicating the total number of shares or contracts traded.
We also know that volume spikes can significantly impact the market. A volume spike represents an extreme anomaly, a day, week, or month with an extraordinary amount of trading. However, recognizing these spikes in practice isn't always straightforward. What constitutes high volume? How do we define and identify it? The answers to these questions aren't easy.
It's commonly said that a volume spike could be identified if the volume is 25% more than the average of the two weeks prior, but how do you measure this 25%? It's not always easy to calculate, especially in real-time.
This challenge led me to develop the concept into an indicator.
How Does It Work?
Imagine being able to "feel" the market's energy like a surfer feels the ocean. The VSI does something similar by examining trading volume and comparing it to what has been typical over the past few weeks. Here's a quick look at the magic behind it:
Step 1: Establishing the Baseline: We start by establishing a baseline, i.e., the average trading volume over a given period. Let's use the last 10 days as the default setting. We choose 10 days because, in the traditional stock market, 10 days represent two weeks if you subtract weekends. This gives us a fixed line to compare against.
Step 2: Recognizing Peaks: Next, we look for days when the trading volume significantly exceeds this average. The size of the jump is where you have a say. You can set a threshold, such as 25%, to define what you consider a volume spike.
Step 3: The Calculation: This is where the math comes into play. We calculate the percentage change in today's volume compared to the average volume of the last 10 days. For example, if today's volume is 30% above the average and you've set your threshold at 25%, the VSI will recognize this as a spike.
Step 4: Visual Cue: These spikes are then plotted on a graph, with each spike represented as a bar. The height of the bar indicates the spike's percentage size, so you can see at a glance how significant a spike is.
Step 5: Intuitive Color Coding: For quick analysis, the VSI employs a color-coding system. Exceptionally high peaks, such as those exceeding a 100% increase, are highlighted in blue to emphasize their importance. Other peaks are shown in red, creating a visual hierarchy for quick volume data interpretation.
Why This Matters:
Identifying these spikes can help pinpoint the beginning or end of a trend. The idea is that when trading peaks at a certain level, there might be no more buyers or sellers willing to engage at that price level. Volume peaks, and a reversal is likely imminent. It's a simple yet effective concept. Therefore, it's crucial to use this indicator in the context of the trend, as not every spike carries the same significance.
Customizable:
The beauty of the VSI lies in its flexibility. Trading futures? You might want to adjust the averaging period to 14 days to better suit your market. You have full control over the settings to tailor them to your trading style.
Interpreting the Figures:
A positive percentage indicates a volume spike above the average – the higher the percentage, the more significant the spike.
If the percentage exceeds a certain threshold (which you can set, e.g., 25%), it signals a volume spike, indicating increased market activity that could precede significant price movement.
What makes the VSI genuinely adaptable is your ability to tweak the parameters to suit your needs.
Are you trading in a volatile market? Extend the SMA period to smooth out the noise. Trading in a 24-hour market? Adjust the length of your SMA. Seeking finer details? Shorten it. The VSI is yours to adapt to your trading strategy.
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As we wrap up this introduction to the Volume Spike Indicator, I hope you're as excited about its potential as I am. This tool, born out of curiosity and a desire for clarity in the vast ocean of market data, is designed to be your ally in navigating the waves of trading activity.
Remember, the true power of the VSI lies not just in its ability to highlight significant volume spikes, but in its adaptability to your unique trading style and needs. Whether you're charting courses through the tumultuous seas of day trading or navigating the broader currents of long-term investments, the VSI is here to offer insights and guidance.
I encourage you to experiment with it, customize it, and see how it can enhance your trading strategy. And as you do, remember that every tool, no matter how powerful, is just one piece of the puzzle. Combine the VSI with your knowledge, experience, and intuition to make informed and strategic trading decisions.
Thank you for taking the time to explore the Volume Spike Indicator with me.
Best Regards,
Karim Subhieh
[CS] HTF Candle Start MarkerHello Traders!
I was using this script personally and thought it may be helpful to others that trade much lower timeframes. This script is particularly useful for traders who monitor price movements across multiple timeframes or need to synchronize their strategies with the start of new candle open.
Features:
User-Selectable Timeframe : Users can select the desired timeframe for the candle start marker, ranging from 1 to 60 minutes.
Start-of-Period Visualization : The indicator works by highlighting the background color at the start of each new candle for the chosen timeframe. This visual cue is particularly helpful for identifying the commencement of new trading intervals on lower timeframe charts.
Intelligent Timeframe Adaptation : A unique feature of this indicator is its ability to disable the marking on charts where the selected timeframe is equal to or higher than the chart's current timeframe. This ensures that the marker is only active when it provides meaningful information, avoiding redundancy on higher timeframe charts.
Usage:
This indicator is ideal for low time frame traders and those employing multi-timeframe analysis. It helps in quickly identifying the start of new time intervals. For example I trade the 15 second timeframe and mark the start of every 5 minute candle.
Algoflow's Levels PlotterAlgoflow's Levels Plotter - Indicator
Release Date: Jan. 15, 2024
Release version: v3 r1
Release notes date: Jan. 15, 2024
Overview
Parses user's input of levels to be plotted and labeled on the chart for NQ & ES futures
Features
Quick plotting of predetermined price levels.
- Type or copy from another source of values in a predetermined output format.
Supports separate line plotting for Weekly, OVN and RTH values
- Plot only Weekly, OVN or RTH levels, or all
- Configure colors separately for Inflection Points, Weekly, OVN & RTH levels
- Shift/place price labels separately to easily identify levels
User Impacts of Changes
Requires users to remove previous version and re-add indicator "Algoflow's Levels Plotter", then re-add values. Colors and shift values will need to be re-entered and/or reconfigured
Support
Questions, feedbacks, and requests are welcomed. Please feel free to use Comments or direct private message via TradingView.
Quick usage notes:
The indicator allows you to enter data for both ES & NQ at the same time. This is useful in single chart window/layout situations, like viewing on the phone. When you switch between futures, the data is already there.
If you leave the entries blank, nothing will be plotted. This is useful if you want to have separate charts for ES & NQ. So you can just enter only the relevant data of either.
As an indicator, input values are saved within it, until it is removed from the chart. Input for one chart will not update other charts of the same ticker, even in the same layout.
The easiest and quickest way to share the inputs across all charts and layouts is to use the Indicator Templates feature.
- After input values are entered (for both ES & NQ futures) via the indicator's Settings, select ""Save as Default"".
- Click on ""Indicator Templates"" (4 squares icon), and click on ""Save Indicator template...""
- Remove the previous version of the indicator in other charts.
- Click on ""Indicator Templates"" icon, and select the newly created template. Repeat this for other charts of the same futures ticker
The labels can be disabled in settings > Style tab. Use the Inputs tab to configure orientation (left or right of current bar on chart), and how much spacing from the current (in distance of bars)
Format example:
Primary directional inflection point: 1234
For Bulls: 1244.25, 1254, 1264.50
For Bears: 1224, 1214, 1204
Changes
v3 r1 - Fixed erroneous default values in Weekly input sections. Added options to en/disable display of each set (session) of levels. Default label text size to normal, from small.
- Jan 15, 2024
v2 r9 - Added support for USTEC & US500.
- Dec. 10, 2023
v2 r8 - Added configuration features for users to modify the labels' text colors and size. Simplified code further by moving inputs processing modules into a single user function.
- Oct. 31, 2023
v2 r7 - Added support for the micro NQ & ES. Modified to ignore string case in inputs
- Oct 18, 2023
v2 r4 - Added support of weekly lines and labels features. Began the process of optimizing/simplifying code
- Oct. 15, 2023
v2 r3 - Made Inflection Point levels' colors configurable
- Oct. 04, 2023
v2 r2 - Removed comments & debug codes from development build revision #518
- Oct. 04, 2023
v2 r1 - Released from development revision #518. Major rewrite to fix previous and overlapping plots of lines and labels.
- Oct. 04, 2023
v1 r2 - First release of indicator
- Oct. 02, 2023
Renko Box Chart Overlay by BDThis is Renko chart overlay for Candles chart. You can use it to identify market direction and potential key points.
To use it simply select box size and any timeframe you want.
With this overlay you can be sure that you'll see every brick on a chart showing general market direction with all the details of a candles chart.
Alternatives Renko overlay charts:
If you don't have access to 1s timeframe or you don't want to use low TF here is the situation with built in Renko chart on 5m TF:
This Renko boxes are linked to chart by time(candle) and price. It will draw a box even if price didn't close above(or below) of box level:
But be careful when setting box size too small because it will produce bad results:
The issue is known and I'll work on fixing it in next update, for now use box size at least the size of a body of a candle, after all renko is for general market movement and not for marking up every tick.
Let me know if you want to see any additions.
High/Low of week: Stats & Day of Week tendencies// Purpose:
-To show High of Week (HoW) day and Low of week (LoW) day frequencies/percentages for an asset.
-To further analyze Day of Week (DoW) tendencies based on averaged data from all various custom weeks. Giving a more reliable measure of DoW tendencies ('Meta Averages').
-To backtest day-of-week tendencies: across all asset history or across custom user input periods (i.e. consolidation vs trending periods).
-Education: to see how how data from a 'hard-defined-week' may be misleading when seeking statistical evidence of DoW tendencies.
// Notes & Tips:
-Only designed for use on DAILY timeframe.
-Verification table is to make sure HoW / LoW DAY (referencing previous finished week) is printing correctly and therefore the stats table is populating correctly.
-Generally, leaving Timezone input set to "America/New_York" is best, regardless of your asset or your chart timezone. But if misaligned by 1 day =>> tweak this timezone input to correct
-If you want to use manual backtesting period (e.g. for testing consolidation periods vs trending periods): toggle these settings on, then click the indicator display line three dots >> 'Reset Points' to quickly set start & end dates.
// On custom week start days:
-For assets like BTC which trade 7 days a week, this is quite simple. Pick custom start day, use verification table to check all is well. See the start week day & time in said verification table.
-For traditional assets like S&P which trade only 5 days a week and suffer from occasional Holidays, this is a bit more complicated. If the custom start day input is a bank holiday, its custom 'week' will be discounted from the data set. E.g.1: if you choose 'use custom start day' and set it to Monday, then bank holiday Monday weeks will be discounted from the data set. E.g.2: If you choose 'use custom start day' and set it to Thursday, then the Holiday Thursday custom week (e.g Thanksgiving Thursday >> following Weds) would be discounted from the data set.
// On 'Meta Averages':
-The idea is to try and mitigate out the 'continuation bias' that comes from having a fixed week start/end time: i.e. sometimes a market is trending through the week start/end time, so the start/end day stats are over-weighted if one is trying to tease out typical weekly profile tendencies or typical DoW tendencies. You'll notice this if you compare the stats with various custom start days ('bookend' start/end days are always more heavily weighted). I wanted to try to mitigate out this 'bias' by cycling through all the possible new week start/end days and taking an average of the results. i.e. on BTC/USD the 'meta average' for Tuesday would be the average of the Tuesday HoW frequencies from the set of all 7 possible custom weeks(Mon-Sun, Tues-Mon, Weds-Tues, etc etc).
// User Inputs:
~Week Start:
-use custom week start day (default toggled OFF); Choose custom week start day
-show Meta Averages (default toggled ON)
~Verification Table:
-show table, show new week lines, number of new week lines to show
-table formatting options (position, color, size)
-timezone (only for tweaking if printed DoW is misaligned by 1 day)
~Statistics Table:
-show table, table formatting options (position, color, size)
~Manual Backtesting:
-Use start date (default toggled OFF), choose start date, choose vline color
-Use end date (defautl toggled OFF), choose end date, choose vline color
// Demo charts:
NQ1! (Nasdaq), Full History, Traditional week (Mon>>Friday) stats. And Meta Averages. Annotations in purple:
NQ1! (Nasdaq), Full History, Custom week (custom start day = Wednesday). And Meta Averages. Annotations in purple:
Enhanced WaveTrend OscillatorThe Enhanced WaveTrend Oscillator is a modified version of the original WaveTrend. The WaveTrend indicator is a popular technical analysis tool used to identify overbought and oversold conditions in the market and generate trading signals. The enhanced version addresses certain limitations of the original indicator and introduces additional features for improved analysis and comparison across assets.
WaveTrend:
The original WaveTrend indicator calculates two lines based on exponential moving averages and their relationship to the asset's price. The first line measures the distance between the asset's price and its EMA, while the second line smooths the first line over a specific period. The result is divided by 0.015 multiplied by the smoothed difference ('d' for reference). The indicator aims to identify overbought and oversold conditions by analyzing the relationship between the two lines.
In the original formula, the rudimentary estimation factor 0.015 times 'd' fails to accomodate for approximately a quarter of the data, preventing the indicator from reaching the traditional stationary levels of +-100. This limitation renders the indicator quantitatively biased, as it relies on the user's subjective adjustment of the levels. The enhanced version replaces this factor with the standard deviation of the asset's price, resulting in improved estimation accuracy and provides a more dynamic and robust outcome, we thereafter multiply the result by 100 to achieve a more traditional oscillation.
Enhancements and Features:
The enhanced version of the WaveTrend indicator addresses several limitations of the original indicator and introduces additional features-
Dynamic Estimation: The original indicator uses an arbitrary estimation factor, while the enhanced version replaces it with the standard deviation of the asset's price. This modification provides a more dynamic and accurate estimation, adapting to the specific price characteristics of each asset.
Stationary Support and Resistance Levels: The enhanced version provides stationary key support and resistance levels that range from -150 to 150. These levels are determined based on the analysis of the indicator's data and encompass more than 95% of the indicator's values. These levels offer important reference points for traders to identify potential price reversals or significant price movements.
Comparison Across Assets: The enhanced version allows for better comparison and analysis across different assets. By incorporating the standard deviation of the asset's price, the indicator provides a more consistent and comparable interpretation of the market conditions across multiple assets.
Upon closer inspection of the modification in the enhanced version, we can observe that the resulting indicator is a smoothed variation of the Z-Score!
f_ewave(src, chlen, avglen) =>
basis = ta.ema(src, chlen)
dev = ta.stdev(src, chlen)
wave = (src - basis) / dev * 100
ta.ema(wave, avglen)
Z-Score Analysis:
The Z-Score is a statistical measurement that quantifies how far a particular data point deviates from the mean in terms of standard deviations. In the enhanced version, the calculation involves determining the basis (mean) and deviation (standard deviation) of the asset's price to calculate its Z-Score, thereafter applying a smoothing technique to generate the final WaveTrend value.
Utility:
The 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗪𝗧 indicator offers traders and investors valuable insights into overbought and oversold conditions in the market. By analyzing the indicator's values and referencing the stationary support and resistance levels, traders can identify potential trend reversals, evaluate market strength, and make better informed analysis.
It is important to note that this indicator should be used in conjunction with other technical analysis tools and indicators to confirm trading signals and validate market dynamics.
Credit:
The 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗪𝗧 indicator is a modification of the original WaveTrend Oscillator developed by @LazyBear on TradingView.
Example Charts:
Standardized MACD Heikin-Ashi TransformedThe Standardized MACD Heikin-Ashi Transformed (St. MACD) is an advanced indicator designed to overcome the limitations of the traditional MACD. It offers a more robust and standardized measure of momentum, making it comparable across different timeframes and securities. By incorporating the Heikin-Ashi transformation, the St. MACD provides a smoother visualization of trends and potential reversals, enhancing its utility for traders seeking a clearer view of the underlying market direction.
Methodology:
The calculation of St. MACD begins with the traditional MACD, which computes the difference between two exponential moving averages (EMAs) of the price. To address the issue of non-comparability across assets, the St. MACD normalizes its values using the exponential average of the price's height. This normalization process ensures that the indicator's readings are not influenced by the absolute price levels, allowing for objective and quantitatively defined comparisons of momentum strength.
Furthermore, St. MACD utilizes the Heikin-Ashi transformation, which involves deriving candles from the price data. These Heikin-Ashi candles provide a smoother representation of trends and help filter out noise in the market. A predictive curve of Heikin-Ashi candles within the St. MACD turns blue or red, indicating the prevailing trend direction. This feature enables traders to easily identify trend shifts and make better informed trading decisions.
Advantages:
St. MACD offers several key advantages over the traditional MACD-
Standardization: By normalizing the indicator's values, St. MACD becomes comparable across different assets and timeframes. This makes it a valuable tool for traders analyzing various markets and seeking consistent momentum measurements.
Heikin-Ashi Transformation: The integration of the Heikin-Ashi transformation smoothes out the indicator's fluctuations and enhances trend visibility. Traders can more easily identify trends and potential reversal points, improving their market analysis.
Quantifiable Momentum: St. MACD's key levels represent the strength of momentum, providing traders with a quantifiable framework to gauge the intensity of market movements. This feature helps identify periods of increased or decreased momentum.
Utility:
The St. MACD indicator offers versatile utility for traders-
Trend Identification: Traders can use the color-coded predictive curve of Heikin-Ashi candles to swiftly determine the prevailing trend direction. This aids in identifying potential entry and exit points in the market.
Reversal Signals: Colored extremes within the St. MACD signal potential price reversals, alerting traders to potential turning points in the market. This assists in making timely decisions during market inflection points.
Overbought/Oversold Conditions: The histogram version of St. MACD can be used in conjunction with the bands to detect short-term overbought or oversold market conditions, allowing traders to adjust their strategies accordingly.
In conclusion, this tool addresses the limitations of the traditional MACD by providing a standardized and comparable momentum indicator. Its incorporation of the Heikin-Ashi transformation enhances trend visibility and assists traders in making more informed decisions. With its quantifiable momentum measurements and various utility features, the St. MACD is a valuable tool for traders seeking a clearer and more objective view of market trends and reversals.
Key Features:
Display Modes: MACD, Histogram or Hybrid
Reversion Triangles by adjustable thresholds
Bar Coloring Methods: MidLine, Candles, Signal Cross, Extremities, Reversions
Example Charts:
-Traditional limitations-
-Comparisons across time and securities-
-Showcase-
See Also:
-Other Heikin-Ashi Transforms-
Liquidity PeaksThe "Liquidity Peaks" indicator is a tool designed to identify significant supply and demand zones based on volumetric analysis. It analyzes the volume profile within a specified lookback range to pinpoint the most volumetric point and draw corresponding zones on the price chart.
The 𝐋𝐢𝐪. 𝐏𝐞𝐚𝐤𝐬 indicator utilizes volume data to identify key supply and demand areas on the price chart. By examining the volume profile within a defined lookback range, it highlights three distinct zones: liquidity grab, volume containment, and the most volumetric point.
Zones and their meanings:
Liquidity grab (Orange box): This zone represents a price level where there is a significant swipe of the previous demand zone within the volume range. It indicates a potential shift in market sentiment and serves as a key supply or demand area.
Volume containment (Gray box): This zone displays the area of volume contained before the peak in volume. It provides insights into the range where buying or selling pressure was concentrated, highlighting potential support or resistance levels.
Most volumetric point (Light blue box): This zone represents the point within the lookback range that exhibits the highest volume. It signifies a significant area of market interest and indicates a potential supply or demand level.
Adjustable options:
Adjust liquidity Grab: This option allows you to adjust the size of the boxes. When enabled, the box size is set to twice the size of the high or low of the candle's wick. This adjustment enhances the visibility and accuracy of identifying swipes at specific price levels.
Show origin: Enabling this option ensures that the liquidity boxes are drawn from the wick they were created from. This provides a clear visual reference to the specific candle and highlights the liquidity levels associated with it.
Utility:
The 𝐋𝐢𝐪. 𝐏𝐞𝐚𝐤𝐬 indicator is a valuable tool for traders and investors seeking to identify significant supply and demand zones in the market. By analyzing volume data and drawing corresponding zones on the chart, it helps to pinpoint areas where buying or selling pressure is likely to emerge.
Traders can utilize this information to identify potential support and resistance levels, plan their entries and exits, and make more informed trading decisions. The liquidity grab zones can act as potential reversal or breakout points, while the volume containment zones and most volumetric points provide insights into areas of high market interest.
It is important to note that this indicator should be used in conjunction with other technical analysis tools and indicators to confirm trading signals and validate market dynamics.
Example Charts:
Days Higher Than Current PriceThe "Days Higher Than Current Price" indicator is a color-coded tool that provides insights into the historical price performance of an underlying asset. By analyzing the number of bars prior to the selected day that had higher closing prices, this indicator visually represents the comparative strength or weakness of the current price level.
The "Days Higher" indicator utilizes a color-coded scheme to indicate the number of days in the asset's price history where the closing prices were higher than the current day's price. The color spectrum ranges from red to blue, representing varying levels of historical price strength.
Color Coding:
The color coding scheme of the indicator offers a quick and intuitive understanding of the price performance:
Red: Represents a higher number of days in the asset's price history where the closing prices were higher than the current day's price. This suggests a weaker price trend or a potential reversal and indicates relative price weakness.
Blue: Represents a lower number of days in the asset's price history where the closing prices were higher than the current day's price. This indicates a strong trend of higher prices and suggests relative price strength.
Orange & Green: Correspond to different numbers of days where the closing prices were higher than the current day's price. The specific color gradations between red and blue reflect increasing or decreasing historical price strength.
Methodology:
The "Days Higher" indicator examines each bar in the asset's price history leading up to the selected day. It counts the number of bars where the closing prices were higher than the current day's price.
The indicator then assigns a specific color to the price chart based on the count of such days, providing a visual representation of historical price strength relative to the current price level.
Utility:
The "Days Higher" indicator offers traders and investors a unique perspective on the historical price performance of an asset. By assessing the color-coded chart, market participants can quickly gauge the presence of strong or weak historical price trends.
This information can be used to identify potential support or resistance levels, assess the overall strength of a trend, or evaluate the likelihood of a price reversal. Traders may incorporate this indicator into their analysis to make more informed trading decisions based on the historical price strength indicated by the color-coded chart.
It is important to note that this tool should be used in conjunction with other technical analysis tools and indicators to validate signals and make well-rounded trading decisions.
Example Charts:
-Indices-
-Stocks-
-Cryptos-
-Multi-Timeframe-
On Balance Volume Heikin-Ashi Transformed
The OBV Heikin Ashi indicator is a modified version of the On-Balance Volume indicator that incorporates the Heikin Ashi transformation. This technical tool aims to provide traders with a smoother representation of volume dynamics and price trends.
The OBV Heikin Ashi indicator combines the principles of OBV and Heikin Ashi to offer insights into the volume and price behavior of an asset. Understanding OBV and Heikin Ashi individually will provide a foundation for comprehending the uniqueness and utility of this indicator.
On-Balance Volume:
OBV is a volume-based indicator that measures the cumulative buying and selling pressure in the market. It considers the relationship between volume and price movements to determine the overall strength and direction of a trend. Rising OBV values suggest bullish buying pressure, while falling values indicate bearish selling pressure.
Heikin Ashi:
Heikin Ashi is a Japanese candlestick charting technique that aims to filter out noise and provide a smoother representation of price trends. It calculates each candlestick based on the average of the previous candle's open, close, high, and low prices. Heikin Ashi candles can reveal the underlying trend more clearly by reducing market noise.
Methodology:
The 𝘖𝘉𝘝 𝘏-𝘈 indicator applies the Heikin Ashi transformation to the OBV values. Each OBV value is replaced with a Heikin Ashi equivalent, which is calculated based on the average of the previous Heikin Ashi candle's open and close prices. This transformation smooths out the OBV values and helps identify the overall trend with reduced noise. Additionaly, 2 optional EMAs are included for convergence-divergence analysis.
By applying the Heikin Ashi transformation to OBV, the indicator aims to enhance the readability of volume and trend information, providing traders with a clearer understanding of market dynamics.
Utility:
The 𝘖𝘉𝘝 𝘏-𝘈 indicator can be a valuable tool for traders and investors in analyzing volume and price trends. It offers a smoother representation of OBV values, allowing for easier identification of trend reversals, bullish or bearish market conditions, and potential trading opportunities. Traders can utilize the indicator to confirm price trends, validate support and resistance levels, and enhance their overall trading strategies.
It is worth noting that the effectiveness of the indicator may vary depending on the specific market and trading strategy. It is recommended to combine its analysis with other technical indicators and perform thorough backtesting before making trading decisions.
Key Features:
2 Adjustable EMAs
Normalized Oscillator Mode
Example Charts:
See Also:
Z-Score Heikin-Ashi Transformed
Z-Score Heikin-Ashi TransformedThe Z-Score Heikin-Ashi Transformed (𝘡 𝘏-𝘈) indicator is a powerful technical tool that combines the principles of Z-Score and Heikin Ashi to provide traders with a smoothed representation of price movements and a standardized measure of market volatility.
The 𝘡 𝘏-𝘈 indicator applies the Z-Score calculation to price data and then transforms the resulting Z-Scores using the Heikin Ashi technique. Understanding the individual components of Z-Score and Heikin Ashi will provide a foundation for comprehending the methodology and unique features of this indicator.
Z-Score:
Z-Score is a statistical measure that quantifies the distance between a data point and the mean, relative to the standard deviation. It provides a standardized value that allows traders to compare different data points on a common scale. In the context of the 𝘡 𝘏-𝘈 indicator, Z-Score is calculated based on price data, enabling the identification of extreme price movements and the assessment of their significance.
Heikin Ashi:
Heikin Ashi is a popular charting technique that aims to filter out market noise and provide a smoother representation of price trends. It involves calculating each candlestick based on the average of the previous candle's open, close, high, and low prices. This approach results in a chart that reduces the impact of short-term price fluctuations and reveals the underlying trend more clearly.
Methodology:
The 𝘡 𝘏-𝘈 indicator starts by calculating the Z-Score of the price data, which provides a standardized measure of how far each price point deviates from the mean. Next, the resulting Z-Scores are transformed using the Heikin Ashi technique. Each Z-Score value is modified according to the Heikin Ashi formula, which incorporates the average of the previous Heikin Ashi candle's open and close prices. This transformation smooths out the Z-Score values and reduces the impact of short-term price fluctuations, providing a clearer view of market trends.
This tool enables traders to identify significant price movements and assess their relative strength compared to historical data. Positive transformed Z-Scores indicate that prices are above the average, suggesting potential overbought conditions, while negative transformed Z-Scores indicate prices below the average, suggesting potential oversold conditions. Traders can utilize this information to identify potential reversals, confirm trend strength, and generate trading signals.
Utility:
The indicator offers valuable insights into price volatility and trend analysis. By combining the standardized measure of Z-Score with the smoothing effect of Heikin Ashi, traders can make more informed trading decisions and improve their understanding of market dynamics. 𝘡 𝘏-𝘈 can be used in various trading strategies, including identifying overbought or oversold conditions, confirming trend reversals, and establishing entry and exit points.
Note that the 𝘡 𝘏-𝘈 should be used in conjunction with other technical indicators and analysis tools to validate signals and avoid false positives. Additionally, traders are encouraged to conduct thorough backtesting and experimentation with different parameter settings to optimize the effectiveness of the indicator for their specific trading approach.
Key Features:
Optional Reversion Doritos
Adjustable Reversion Threshold
2 Adjustable EMAs
Example Charts:
See Also:
On Balance Volume Heikin-Ashi Transformed
Rough AverageThe Rough Average indicator is a unique technical tool that calculates a modified average to provide insights into market conditions. It incorporates a combination of mathematical operations and existing indicators to offer traders a different perspective on price movements.
The Rough Average indicator aims to capture market dynamics through a specific calculation method. It utilizes two main components: a check for the approximate scale of the price and a profile calculation based on the Relative Strength Index (RSI) of the closing price.
Methodology:
Approximate Scale: The indicator determines the approximate scale of the price by analyzing the magnitude of the closing price. This step involves a mathematical process that identifies the power of 10 that best represents the scale. This function reduces overall lag and gives a better smoothing to the output of the calculation
Profile Calculation: The indicator calculates a profile value by summing the absolute values of the RSI of the closing price over a specified period. The RSI provides insights into the strength or weakness of price movements. The profile calculation considers a range of prices based on the determined scale.
Indicator Calculation:
The Rough Average is derived by applying the Exponential Moving Average (EMA) to the calculated profile. The EMA is a smoothing technique that emphasizes recent price data. The resulting value represents the modified average of the indicator.
Utility:
The Rough Average indicator offers traders an alternative perspective on market conditions. By utilizing a modified average calculation, it can reveal potential trends, reversals, or periods of market strength or weakness. Traders can use the Rough Average to complement their analysis and identify possible trading opportunities.
It is important to note that the effectiveness of the Rough Average indicator may vary depending on the specific market and trading strategy. It is recommended to combine its analysis with other technical indicators and conduct thorough testing before making trading decisions.
Key Features:
Customizable OB\OS Levels
Bar coloring methods: Trend, Reversions, Extremities
Example Charts:
Regularized-Moving-Average Oscillator SuiteThe Regularized-MA Oscillator Suite is a versatile indicator that transforms any moving average into an oscillator. It comprises up to 13 different moving average types, including KAMA, T3, and ALMA. This indicator serves as a valuable tool for both trend following and mean reversion strategies, providing traders and investors with enhanced insights into market dynamics.
Methodology:
The Regularized MA Oscillator Suite calculates the moving average (MA) based on user-defined parameters such as length, moving average type, and custom smoothing factors. It then derives the mean and standard deviation of the MA using a normalized period. Finally, it computes the Z-Score by subtracting the mean from the MA and dividing it by the standard deviation.
KAMA (Kaufman's Adaptive Moving Average):
KAMA is a unique moving average type that dynamically adjusts its smoothing period based on market volatility. It adapts to changing market conditions, providing a smoother response during periods of low volatility and a quicker response during periods of high volatility. This allows traders to capture trends effectively while reducing noise.
T3 (Tillson's Exponential Moving Average):
T3 is an exponential moving average that incorporates additional smoothing techniques to reduce lag and provide a more responsive indicator. It aims to maintain a balance between responsiveness and smoothness, allowing traders to identify trend reversals with greater accuracy.
ALMA (Arnaud Legoux Moving Average):
ALMA is a moving average type that utilizes a combination of linear regression and exponential moving average techniques. It offers a unique way of calculating the moving average by providing a smoother and more accurate representation of price trends. ALMA reduces lag and noise, enabling traders to identify trend changes and potential entry or exit points more effectively.
Z-Score:
The Z-Score calculation in the Regularized-MA Oscillator Suite standardizes the values of the moving average. It measures the deviation of each data point from the mean in terms of standard deviations. By normalizing the moving average through the Z-Score, the indicator enables traders to assess the relative position of price in relation to its mean and volatility. This information can be valuable for identifying overbought and oversold conditions, as well as potential trend reversals.
Utility:
The Regularized-MA Oscillator Suite with its unique moving average types and Z-Score calculation offers traders and investors powerful analytical tools. It can be used for trend following strategies by analyzing the oscillator's position relative to the midline. Traders can also employ it as a mean reversion tool by identifying peak values above user-defined deviations. These features assist in identifying potential entry and exit points, enhancing trading decisions and market analysis.
Key Features:
Variety of 13 MA types.
Potential reversal point bubbles.
Bar coloring methods - Trend (Midline cross), Extremities, Reversions, Slope
Example Charts:
David Varadi Intermediate OscillatorThe David Varadi Intermediate Oscillator (DVI) is a composite momentum oscillator designed to generate trading signals based on two key factors: the magnitude of returns over different time windows and the stretch, which measures the relative number of up versus down days. By combining these factors, the DVI aims to provide a reliable and objective assessment of market trends and momentum.
Methodology:
To calculate the DVI, a specific formula is applied. The magnitude component involves averaging smoothed returns over various lengths, weighted according to user-defined parameters. This calculation helps determine the magnitude of price changes. The stretch component follows a similar process, averaging smoothed returns over different lengths to gauge market momentum. Users have the flexibility to adjust the weights and lengths to suit their trading preferences and styles.
Utility:
The DVI offers versatility in its applications. It can be used for both momentum trading and trend analysis due to its smooth and consistent signals. Unlike some other oscillators, the DVI provides longer and uncorrelated signals, allowing traders to effectively combine trend-following and mean-reversion strategies. For example, the DVI is adept at identifying overbought levels above the 200-day moving average, serving as a useful tool for determining exit points during price strength and even potential shorting opportunities. Traders can develop simple trading systems based on the DVI, buying above the 200-day moving average and selling when the DVI exceeds a specified threshold. Conversely, they can consider short positions below the 200-day moving average and cover when the DVI falls below a specific threshold. The DVI's objective approach to analyzing market momentum makes it a valuable resource for traders seeking to identify trading opportunities.
Key Features:
Bar coloring: based on Trend, Extremeties or Reversions
Reversions: Potential reversal points marked with triangles above\below oscillator
Extremity Hues: Highlighting oxcillator reaching traditional OB\OS levels
Example Charts:
Fair Value Gap - FVG - HistogramThis indicator uses a histogram to represent "fair value gaps" ("FVG"). FVG is a popular pattern among modern traders.
This document describes the purpose of the script and discusses the conceptual meaning of "fair value," as well as the connotations attached to it.
█🚀 Based on the previous script - improved clarity
This indicator is a modified version of the "Three Bar Gap (Simple Price Action - with 1 line plot)" indicator, which is also available as open source and can be applied to a chart as a complementary tool along with this indicator.
Differences:
The previous version introduced a "Threshold filter" to reduce the number of lines plotted on charts. This filter introduced two additional parameters for users to consider (ATR length and multiplier). These parameters made the indicator more complicated than intended.
To address this issue of having too many lines in the former version, I proposed a spin-off on this version: It's to consider plotting the magnitude of the FVGs on a histogram instead of using lines on a price chart. In my opinion, a histogram is more suitable for decision-making because it lays out data points side-by-side as bins, which makes comparisons much clearer.
Minor FVGs are expected to have smaller bins compared to their neighboring bins, and in extreme cases, the bins will become seemingly invisible due to the auto-adjusted scale of the y-axis. Therefore, there is no need to filter out any data, and all FVGs can be included in this spin-off version.
█🚀 Candlestick patterns - revisited
This script calculates the displacement of highs and lows over three consecutive bars.
A) Down move: When the high of the recent-confirmed bar is lower than the low of the previous-previous candle.
B) Up move: When the low of the recently-confirmed bar is higher than the high of the previous-previous candle.
█🚀 Parameters
Core Functionality
The purpose of this indicator is to generate bins representing the magnitude of FVGs in the form of a histogram to facilitate the visualization of price movements.
The act of "finding FVGs" does not require any inputs, but users can still customize the colors of the bins to indicate the direction of movement.
Auxiliary functionality: “Key level finder” by searching for large FVGs
The following inputs are optional, in fact, the entire feature can be toggled on/off.
In this example, setting the lookback at 20 means the script will generate a signal if the current histogram bin is taller than all previous bins over the past 20 bars.
█🚀 Applications
Tall histogram bins = key levels .
Traders should observe key levels for entry or exit opportunities.
It is important to note that this indicator was designed for standard time-based charts.
On a separate note, FVGs will not appear in Renko charts with fixed-size bricks. This is because the bricks align with their neighboring bricks. When the bricks are fixed, any displacement between highs and lows within less than or equal to three bars will be zero.
The concept of a "gap" is used to illustrate that price follows a jump-diffusion process, and time intervals can be assigned arbitrarily on the x-axis without needing fixed intervals. This idea was briefly discussed in the previous script's write-up.
█🚀 FAQ: Does it repaint?
No. And please continue reading.
Bins are plotted with a one-bar delay. It only takes one bar for the FVG to become confirmed. Lag is beneficial because it clarifies the need for traders to wait for the bar to close and for the signals to become confirmed before entering or exiting a trade. Experienced traders know that prices tend to retrace, so there is no need to chase. An added bar of delay proves to be useful.
█🚀 Opinion: The term “fair value” can be misleading
Those who come from traditional finance may find the term "fair value gap" somewhat insulting. When encountering the phrase, it can feel like a group of aliens from "Planet Technical Analysis" have intrusively landed on your planet and assertively redefined what "fair value" is supposed to mean.
So, what does "fair value" mean in the realm of technical analysis?
In the world of corporate finance, "fair value" is a subjective estimate of what buyers and sellers are hypothetically willing to pay or accept. Buy-side and sell-side analysts use their own methodologies to determine what constitutes "fair value". These approaches may be based on income, asset, or market comparables. Regardless of the approach used, subjectivity is inherent, and results depend on fundamental data provided by the numbers on financial statements. Valuations are unrelated to candlestick patterns .
When dealing with financial statements, finance professionals who are non-market-participants, such as those working in group reporting practices for reporting issuers, or those hired as external auditors, as required by regulators, may also question what constitutes "fair value". The main concerns always revolve around the assumptions used in valuation models; these are inputs that ultimately require management's judgment, and if not critically questioned, valuations as reported in the statements could end up becoming materially bogus. Both IFRS and U.S. GAAP define "fair value" with the same intended meaning in terms of definitions. We will not delve into the details here. The main point is that "fair value" from a financial reporting perspective has nothing to do with candlesticks .
If a price is already quoted in an actively traded market, you can refer to it to obtain what is known as "mark-to-market". This involves simply referring to the bid or ask price on the reporting date, and you're done - there's no need to read candlesticks !
"Fair value" is a neutral term used by finance professionals in all domains. It is not meant to imply that something is actually "fair." Paying the "fair value" for an asset can still result in overpaying or underpaying for what the asset is worth, depending on different model assumptions. The point is, candlesticks are irrelevant to the analysis of what is considered "fair value" in the realm of traditional finance.
That being said, there is no definitive answer as to why people refer to this pattern as a "fair value gap". It's like one of those oddball interview questions asking you to explain why tennis balls are fuzzy. Whatever answer you give, it's important to note that the subject itself is trivial.
Emphasis of matter on why "fair value" can be misleading
The previous paragraphs were not intended to attack ideas from the realm of technical analysis, nor to assert the true meaning, or lack of meaning, of the term "fair value". Words are constantly evolving. If the term "fair value gap" becomes more widely used to describe the displacement of highs and lows over three bars, then let's call it a "fair value gap".
To be clear, I argue that the term "fair value gap" should not be given a positive connotation. Traders should interpret the word "fair" neutrally. Although these signals occur frequently, if you trade every time there is a signal, you will overtrade and incur astronomical transaction costs over the long run, which can lead to losses.
█🚀 Conclusion:
In the end, what matters is how you apply FVG to trading. As mentioned in the "Applications" section above, traders should look for large FVGs - indicated by tall histogram bins - to identify key levels.
Average True Range PercentWhen writing the Quickfingers Luc base scanner (Marvin) script, I wanted a measure of volatility that would be comparable between charts. The traditional Average True Range (ATR) indicator calculates a discrete number providing the average true range of that chart for a specified number of periods. The ATR is not comparable across different price charts.
Average True Range Percent (ATRP) measures the true range for the period, converts it to a percentage using the average of the period's range ((high + low) / 2) and then smooths the percentage. The ATRP provides a measure of volatility that is comparable between charts showing their relative volatility.
Enjoy.
Tick based chart [DotH]Version 1.0 - 2nd January 2023
Hi All,
This is my first published indicator, although I have written several hundreds for private use.
Description
Tick based chart
I got intrigued while reading about tick based charts on this page (please note this link/website owner is not affiliated with me) , so I decided to see if it would be possible to recreate this type of chart in TradingView, and here's the results.
This is an implementation for displaying a tick based chart in Trading View. There are benefits to using ticks based candles, as each candle represents the same number of "price moves" rather than an unknown number of moves.
Tick based charts are charts with candles that are rendered in the same way as traditional candles. However, instead of rendering a new candle at a specific time period,tick based candles are rendered after a set number of ticks have occured. For example, in a 50 tick chart, each candle that you see represents exactly 50 ticks, i.e. 50 price changes/moves. Having a view of what happens on the tick level, may help some traders evaluate what is happening within very large candles, or even detect a change in trend, volatility or some other metric which otherwise may not be visible using a standard chart.
Please note that this indicator DOES NOT match/synchronize timewise with the main chart in TradingView. You must view it independently. If you need to see what times are represented in the tick chart, you can look at the custom time labels and X-Axis grid lines in it to get an idea what parts of the tick based chart correspond to the main chart.
Limitations/known issues:
Currently the indicator has been restricted to 100 candles. This is for limiting the line and box usage to a max of 300 objects.
On timeframes above 1 minute, the seconds values will always be 0. In order to be able to see seconds values in the chart scale you need to be on a second level chart, which requires a premium TradingView subscription.
Changing the parameters in the settings will cause the chart to empty and start redrawing from its first candle again. This is because the tick chart is being drawn from realtime data, unlike the standard TradingView charts.
TODOs & Bugs:
Add some moving average indicators (SMA, EMA as a minimum)
Add a corresponding tick based volume chart
Create RSI, MACD, BB variations of this indicator
If you have any ideas/suggestions or bug reports, please feel free to let me know, however keep in mind that I do not have too much spare time to add things, so updates are going to be sporadic.
ABOUT CODE REUSE:
The code is free to use/change. However, if you plan to use this code to make a derivative indicator or strategy, it would be nice to know, so let me know if you feel like it!
