VPQuantLibLibrary "VPQuantLib"
Misc of math, position size and consolidation detection functions that can be used accross various scripts.
isPercentAboveReference(current, percent, reference, or_equal)
Checks if the current value is bigger (or equal) with the provided percent value to the reference
Parameters:
current (float) : - what to check against the reference
percent (float) : - what is the percent to check for difference
reference (float) : - what to compare against
or_equal (bool) : - enables checking for bigger or equal
Returns: true if the current is percent bigger (or equal) to the reference
isPercentBelowReference(current, percent, reference, or_equal)
Checks if the current value is smaller (or equal) with the provided percent value to the reference
Parameters:
current (float) : - what to check against the reference
percent (float) : - what is the percent to check for difference
reference (float) : - what to compare against
or_equal (bool) : - enables checking for smaller or equal
Returns: true if the current is percent smaller (or equal) to the reference
isInRange(current, reference, min_percent, max_percent, below)
Checks if the current value is greater/smaller than the reference value within the provided percent range
Parameters:
current (float) : - what to check for being in range against the refenence
reference (float) : - what to compare against
min_percent (float) : - the min percent range border
max_percent (float) : - the max percent range border
below (bool) : - check if below or above the reference
@return true if the current is bigger/smaller than the reference withing the percent range provided
GetRiskBasedPositionSize(account_balance, equity_risk_perc, max_loss_per_share)
Calculates and returns the positins size based on risk of the equity
Parameters:
account_balance (float) : - total account balance
equity_risk_perc (int) : - percent of equity to risk in the trade
max_loss_per_share (float) : - maximum loss per share (in currency, not in %) that we're willing to loose (calc based on the entry_price-stop_loss_price)
@return number of shares to buy
CheckInRangeConsolidation(consolidation_period, allowed_consolidation_range, ref_high, ref_low, prev_bar_consolidaton, draw_consolidation_lines)
Checks if the current bar is in a consolidation range
Parameters:
consolidation_period (int) : - the number of bars to consider for consolidation range calculation
allowed_consolidation_range (int) : - the percentage range allowed for the current consolidation range to be considered valid
ref_high (float) : - the reference high value to use for consolidation range calculation
ref_low (float) : - the reference low value to use for consolidation range calculation
prev_bar_consolidaton (bool)
draw_consolidation_lines (bool) : - a boolean indicating if consolidation range lines should be drawn on the chart
@return a tuple of three values:
1. _curr_consolidation - a boolean indicating if the current bar is in consolidation range
2. _curr_consolidation_low - the current consolidation low value
3. _curr_consolidation_high - the current consolidation high value
FindBasicConsolidation(loopback_period, consolidation_length, ref_high, ref_low, draw_consolidation_lines)
Finds a basic consolidation areas, looking back 1000 bars to find the pivot of the trend and checks if the current bar is in consolidation area counting the
number of bars that have not broken the consolidation high/low levels
Parameters:
loopback_period (int) : - the number of bars to look back to determine the high/low watermark
consolidation_length (int) : - minimum number of bars required to establish a consolidation period
ref_high (float) : - user input for high (can be based on the bar or wicks)
ref_low (float) : - user input for high (can be based on the bar or wicks)
draw_consolidation_lines (bool) : - enable/disable drawing of the consolidation lines
Returns: _pivot_point - pivot point
Cari dalam skrip untuk "high low"
Anchored Chandelier ExitThe Chandelier Exit is a popular tool among traders used to help determine appropriate stop loss levels. Originally developed by Chuck LeBeau, the Chandelier Exit takes into account market volatility and adjusts the stop loss level dynamically. This indicator builds upon the original Chandelier Exit by allowing the trader to select an anchor date or starting point for the indicator to begin calculating from.
The Original Chandelier Exit
Before we get into the details of the Anchored Chandelier Exit, let's review the original. Essentially a dynamic ATR stop loss, the Chandelier Exit provides a trailing stop that moves higher or lower based on volatility.
The Chandelier Exit is calculated based on the following criteria:
🔶ATR - The ATR is used to measure the volatility of a security over a lookback period. The ATR length determines the number of bars to consider when calculating the average true range. The shorter the length, the more responsive the level will be.
🔶ATR Multiplier - The default multiplier is set to 3. This is used to determine the sensitivity of the Chandelier Exit. The higher the ATR multiplier the wider the stop levels will be. A lower multiplier will tighten stop levels.
🔶Highest / Lowest Points - Determine the highest high (bullish trade) or lowest low (bearish trade) during the lookback period. The default length is 22 bars.
Calculating the Chandelier Exit
Bullish trades - Highest High - ATR * Multiplier
Bearish trades - Lowest Low + ATR * Multiplier
The Anchored Chandelier Exit
The Anchored Chandelier Exit is a new twist on the original, allowing traders to adapt their stop loss levels based on specific market events, levels or bars.
Similar to the original, traders can select the ATR length and multiplier, however, the high or low from which the ATR is subtracted or added is first determined at the anchor bar.
As new bars form, the indicator checks for the previous high/low to be breached. If the high or low is exceeded, the highest/lowest point is updated and the Chandelier Exit is recalculated.
When the indicator is first loaded to your chart, it will ask you to select an anchor bar and choose the bias for the trade.
A bullish (long) bias trade will plot the Chandelier Exit below price action, while a bearish (short) bias trade will plot the Chandelier Exit above price action.
Indicator Features
🔶Custom Start Date
🔶Bullish or Bearish Bias
🔶Selectable ATR Length & Multiplier
🔶Custom Colors
🔶Exit With Close or Wicks
🔶Exit Alerts
With careful parameter optimization, the Anchored Chandelier Exit can be a useful tool for helping traders manage risk based on market volatility.
Market SessionsMarket Sessions Indicator Overview:
The "Market Sessions" indicator is a powerful tool designed to enhance traders' insights by providing comprehensive information about key market sessions, daily high/low values, and important exponential moving averages (EMAs) directly on the trading chart.
Key Features:
Market Sessions Display:
Visually represents Sydney/Tokyo, London, and New York sessions using distinct color-coded shapes.
Enhances visibility by dynamically changing the background color during specific trading sessions.
Daily High/Low:
Plots and labels the high and low values of the previous trading day on the chart.
Customizable colors for daily high and low markers.
Exponential Moving Averages (EMAs):
Includes 20, 50, and 200-period EMAs for comprehensive trend analysis.
Users have the flexibility to customize the visibility and color of each EMA.
Dashboard Information:
Real-time information about the current and upcoming market sessions.
Displays the time remaining for the upcoming session, aiding in timely decision-making.
Stock Session Information:
Clearly marks open and close times for Asia, Euro, and USA stock sessions.
Customizable visibility options for stock open/close lines, allowing for a tailored chart display.
Usage Guidelines:
Market Session Identification: Easily identify distinct market sessions using color-coded shapes and background color changes.
Daily Analysis: Quickly reference labeled lines for the high and low values of the previous trading day.
Trend Analysis: Observe the plotted EMAs on the chart for insights into the prevailing trends.
Real-time Monitoring: Utilize the dashboard for real-time information on current and upcoming sessions.
Stock Session Details: Identify specific open and close times for stock sessions, aiding in strategic planning.
Customization Options:
User-Friendly Parameters: Customize visibility, color, and positioning based on individual preferences.
Dashboard Configuration: Adjust dashboard position, text placement, and EMA parameters to tailor the indicator to specific needs.
Backtesting Feature:
The indicator includes a backtest feature, allowing users to visualize past sessions for testing and refining trading strategies.
This Market Sessions Indicator provides traders with a holistic view of market dynamics, facilitating informed decision-making and enhancing overall trading experiences.
Data from dataThe "Data from Data" indicator, developed by OmegaTools, is a sophisticated and versatile tool designed to offer a nuanced analysis of various market dynamics, catering to traders and investors seeking a comprehensive understanding of price movements considering a large amount of data and variables.
The uses of this indicator are nonconventional. You can use the indicator as a stand-alone tool on the chart, hiding the current symbol price data, to be able to analyze the price action with the Semaphore visualization method, you can also hide the indicator and choose from your favorite indicators and oscillator one of the data output as a source to have additional insight on the asset.
The last use of this indicator, which depends on the X Value that you set in the settings, is to have a possible scenario for the future outcomes of the markets. Remember that there is no tool that can really predict what the market will do in the future, this tool applies a large amount of formulas to use past prices as an indication that aims to be as close as possible to the future prices. The X Value not only changes the lookback of the formulas but also changes the number of future scenarios that the indicator will plot on the chart.
Key Features:
1. Rate of Change Analysis:
The indicator evaluates the rate of change variations in closing prices, providing insights into the current rate of change and expected rate of change variation.
2. Momentum Analysis:
Momentum is analyzed through calculations involving simple moving averages, offering expected values derived from momentum and momentum variation.
3. High/Low Variation:
The expected market behavior is assessed based on the average variation between high and low prices, contributing to a more holistic analysis.
4. Liquidity Targets:
Liquidity targets can be found by analyzing the highs and lows in the direction of the current fair price.
5. Regression Sequence:
Linear regression analysis is applied to closing prices, assessing momentum and providing expected values based on regression sequences.
6. Volume Presence:
The indicator evaluates the Rate of Change (ROC) by volume presence, offering insights into price movements influenced by trading volume.
7. Liquidity Grabs:
Expected market behavior is determined based on liquidity grabs, considering both current and historical price levels.
8. Fair Value Analysis:
Expected values are derived from fair value closes and fair value highs and lows, contributing to a more nuanced analysis of market conditions.
9. STT (Sequential Trend Test):
The Sequential Trend Test is employed to analyze market trends, providing expected values for a more informed decision-making process.
Visualization:
The indicator shows a "Semaphore" on the chart, visually representing all of the data extrapolated from the script. The visualization can be more minimalistic or more complex, to let the user decide that, in the settings, it's possible to decide if to show all of the data or only the average.
Additionally, the user can choose to display bars on the chart, that visualize the standard high and low of the price data, with the difference between the expected forecasted value and the actual closing price.
My suggestion is to try to change the colors of the data to fit best your eye and the data that you find more useful, and also to try to change some parameters from circle to line as a visualization method to catch with more ease some price patterns.
Error Analysis:
The indicator provides a detailed error analysis, including historical error, average error, and present error. This information is presented in a user-friendly table for quick reference. This table can be used to analyze the margin of error of the expected future price.
SessionVolumeProfileLibrary "SessionVolumeProfile"
Analyzes price & volume during regular trading hours to provide a session volume profile analysis. The primary goal of this library is to provide the developer with three values: the value area high, low and the point of control. The library also provides methods for rendering the value areas and histograms. To learn more about this library and how you can use it, click on the website link in my profile where you will find a blog post with detailed information.
debug(vp, position)
Helper function to write some information about the supplied SVP object to the screen in a table.
Parameters:
vp (Object) : The SVP object to debug
position (string) : The position.* to place the table. Defaults to position.bottom_center
getLowerTimeframe()
Depending on the timeframe of the chart, determines a lower timeframe to grab volume data from for the analysis
Returns: The timeframe string to fetch volume for
get(volumeProfile, lowerTimeframeHigh, lowerTimeframeLow, lowerTimeframeVolume)
Populated the provided SessionVolumeProfile object with vp data on the session.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to populate
lowerTimeframeHigh (float ) : The lower timeframe high values
lowerTimeframeLow (float ) : The lower timeframe low values
lowerTimeframeVolume (float ) : The lower timeframe volume values
drawPriorValueAreas(todaySessionVolumeProfile, extendYesterdayOverToday, showLabels, labelSize, pocColor, pocStyle, pocWidth, vahlColor, vahlStyle, vahlWidth, vaColor)
Given a SessionVolumeProfile Object, will render the historical value areas for that object.
Parameters:
todaySessionVolumeProfile (Object) : The SessionVolumeProfile Object to draw
extendYesterdayOverToday (bool) : Defaults to true
showLabels (bool) : Defaults to true
labelSize (string) : Defaults to size.small
pocColor (color) : Defaults to #e500a4
pocStyle (string) : Defaults to line.style_solid
pocWidth (int) : Defaults to 1
vahlColor (color) : The color of the value area high/low lines. Defaults to #1592e6
vahlStyle (string) : The style of the value area high/low lines. Defaults to line.style_solid
vahlWidth (int) : The width of the value area high/low lines. Defaults to 1
vaColor (color) : The color of the value area background. Defaults to #00bbf911)
drawHistogram(volumeProfile, bgColor, showVolumeOnHistogram)
Given a SessionVolumeProfile object, will render the histogram for that object.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to draw
bgColor (color) : The baseline color to use for the histogram. Defaults to #00bbf9
showVolumeOnHistogram (bool) : Show the volume amount on the histogram bars. Defaults to false.
Object
Fields:
numberOfRows (series__integer)
valueAreaCoverage (series__integer)
trackDevelopingVa (series__bool)
valueAreaHigh (series__float)
pointOfControl (series__float)
valueAreaLow (series__float)
startTime (series__integer)
endTime (series__integer)
dayHigh (series__float)
dayLow (series__float)
step (series__float)
pointOfControlLevel (series__integer)
valueAreaHighLevel (series__integer)
valueAreaLowLevel (series__integer)
volumeRows (array__float)
priceLevelRows (array__float)
ltfSessionHighs (array__float)
ltfSessionLows (array__float)
ltfSessionVols (array__float)
Kawasaki_MFIKawasaki_MFI Indicator
The Kawasaki_MFI indicator is a customized technical analysis tool developed to analyze asset prices in financial markets. This script is implemented in TradingView's Pine Script language (version 5) and is based on the concept of the Accumulation/Distribution Line (ADL) which is a volume-based indicator designed to measure the cumulative flow of money into and out of a security.
Script Details
Version: Pine Script version 5
Overlay: True - The indicator is plotted directly on the price chart.
Input Variables
The script utilizes the following input variables sourced from daily (D) time frames:
High (my_high): The highest price of the security in the daily time frame.
Low (my_low): The lowest price of the security in the daily time frame.
Close (my_close): The closing price of the security in the daily time frame.
Volume (my_volume): The trading volume of the security in the daily time frame.
ADL Calculation
The ADL is calculated using the following formula:
ADL
=
Cumulative sum of ((Close−Low)−(High−Close)High−Low×Volume)
ADL=Cumulative sum of ( High−Low(Close−Low)−(High−Close)×Volume)
Plot
The ADL line is plotted on the chart with the following characteristics:
Title: ADL
Color: Blue
Usage
Traders can use the Kawasaki_MFI indicator to identify trends and potential reversal points in the market. A rising ADL line suggests buying pressure, while a falling ADL line suggests selling pressure. It can be used in conjunction with other technical indicators to develop a comprehensive trading strategy.
Feel free to add more details or modify the description to better suit your needs.
Pivotal MomentsPivotal Moments draws lines for each of up to 500 pivot high and pivot low levels that have never been revisited at the present moment in time. After the Pivotal Moments indicator has been loaded onto chart and any of the subsequent realtime bars that are formed touch or cross a pivot level it is deleted. The duration for how long any touched or crossed pivot levels remain on chart before deletion may be extended by N bars or N units of time.
There are user selectable options for the following:
• Pivot Bars Left : the number of lower highs or higher lows that must be formed before a possible pivot bar can occur.
• Right : the number of lower highs or higher lows that must be formed after potential pivot to validate a pivot bar.
• Lines Show As : the choice of line style to use for the drawn pivot levels includes Dashed, Dotted, or Solid.
• Wide : the number of lines wide for how thick the drawn pivot levels are desired to be on the chart.
• Delay Removal : the number of units that touched or crossed pivot levels will persist on chart.
• Units : the choice of which delay unit type includes nBars, nSecs, nMins, nHrs, or nDays.
• Extend Right : the number of bars right of current bar to extend drawn pivot levels.
• Show : the number of maximum recent drawn pivot levels to keep on chart.
• Colors Used : the colors used for pivots high, low, and dual pivot bars.
• Show Price Labels : the choice whether to show prices for levels.
• On Right : the choice to move prices to right of pivot levels.
• Show Pivot Bars : the choice to colorize pivot bars.
If desired, alerts can be received for whenever new touches or crosses occur for both pivot highs and pivot lows by creating a single Alert. Note that these alerts are triggered by realtime bars which by their very nature are repainting prices, thus the alert creation window will warn of this with an orange exclamation symbol. For an illustration of how to create alerts for this indicator click the chart below:
Credit: this indicator was originally built for @Luckshury, who has graciously given me permission to publish it publicly.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
ICT Institutional Order Flow (fadi)ICT Institutional Order Flow indicator is intended to provide wholistic view to better analyze order flow and where price may go to next. The concept follows ICT principles.
ICT Market Structure
ICT breaks down Pivot points into three categories:
Short Term High/Low (STH/STL) is a 3 candle pattern with a low with higher low on each side (STL), or a high with lower high on each side (STH)
Intermediate Term High/Low (ITH/ITL) uses the calculated STH/STL and marks any STH that has lower or STH on each side, and STL that has higher STL on each side
Long Term High/Low (LTH/LTL) uses the calculated ITH/ITL and marks any ITH that has lower or ITH on each side, and ITL that has higher ITL on each side
Note: ICT also states that if a STH wicks into and closes (almost?) a FVG, he marks it as ITH even if it does not have STH on reach side. This scenario is not covered by this indicator
Liquidity
liquidity is usually present under pivot points. The more prominent the pivot point, the more likely higher values liquidity pools reside under/above it. Liquidity under ITL and LTL as an example, will have better indication of which liquidity the price may seek next.
Displacement
Displacement registers above average move in the price resulting in strong visible move. If requiring a FVG is enabled (in settings), then the displacement could possibly (but never guaranteed) be used to visually recognize a move as it develops.
Full Credit: The calculation for Displacement is derived from TFO's Visualizing Displacement
Imbalances
Imbalances can come in different forms. This indicator identifies three type of imbalances:
1. FVG
2. Volume Imbalance
3. Open Gaps
Imbalances completes the picture by help visualize strong moves, where possible pivot points may develop, and how to enter or manage a trade.
Previous OHLC Levels [TradeMaster Lite]In trading, the “Previous Open/High/Low/Close” (or previous OHLC) refers to the opening, high, low and closing price of the instrument in the previous period. These prices are typically used in technical analysis to identify trends and patterns and to make trading decisions. Some traders may also use the differences between the opening, high, low and closing prices to make trading decisions. For example, the difference between the closing and opening price (the so-called “true body”) and the high and low price (the so-called “upper shadow” and “lower shadow”) can indicate the strength of a trend, whether the bulls or bears are controlling the market, and can also give an idea of market volatility, and are also used as support and resistance levels.
Previous Open: shows the opening price of the previous period. It's the price at which the market first started trading in that period.
Previous High: represents the highest price reached during the previous period. It can act as a resistance level for the current period.
Previous Low: indicates the lowest price hit during the previous period. It can serve as a support level in the current period.
Previous Close: the last price at which the asset traded during the previous period. It's often considered the most accurate reflection of the market sentiment at the end of that period.
These values provide a summary of the previous trading period's price action, giving you a baseline for comparing current price movements. They can help in understanding the market's direction and identifying potential support and resistance levels. It is important to keep in mind that, like any other technical indicator, Previous OHLC does not give a definitive indication of future market direction and should be used in conjunction with other analytical tools, as well as fundamental analysis and market sentiment. It is also important to have appropriate risk management in place.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
This is a lagging indicator. Please note that the displayed values are delayed by the chosen timeframe on historical bars and show the values from the previous period on the current bar.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Advanced Volatility-Adjusted Momentum IndexAdvanced Volatility-Adjusted Momentum Index (AVAMI)
The AVAMI is a powerful and versatile trading index which enhances the traditional momentum readings by introducing a volatility adjustment. This results in a more nuanced interpretation of market momentum, considering not only the rate of price changes but also the inherent volatility of the asset.
Settings and Parameters:
Momentum Length: This parameter sets the number of periods used to calculate the momentum, which is essentially the rate of change of the asset's price. A shorter length value means the momentum calculation will be more sensitive to recent price changes. Conversely, a longer length will yield a smoother and more stabilized momentum value, thereby reducing the impact of short-term price fluctuations.
Volatility Length: This parameter is responsible for determining the number of periods to be considered in the calculation of standard deviation of returns, which acts as the volatility measure. A shorter length will result in a more reactive volatility measure, while a longer length will produce a more stable, but less sensitive measure of volatility.
Smoothing Length: This parameter sets the number of periods used to apply a moving average smoothing to the AVAMI and its signal line. The purpose of this is to minimize the impact of volatile periods and to make the indicator's lines smoother and easier to interpret.
Lookback Period for Scaling: This is the number of periods used when rescaling the AVAMI values. The rescaling process is necessary to ensure that the AVAMI values remain within a consistent and interpretable range over time.
Overbought and Oversold Levels: These levels are thresholds at which the asset is considered overbought (potentially overvalued) or oversold (potentially undervalued), respectively. For instance, if the AVAMI exceeds the overbought level, traders may consider it as a possible selling opportunity, anticipating a price correction. Conversely, if the AVAMI falls below the oversold level, it could be seen as a buying opportunity, with the expectation of a price bounce.
Mid Level: This level represents the middle ground between the overbought and oversold levels. Crossing the mid-level line from below can be perceived as an increasing bullish momentum, and vice versa.
Show Divergences and Hidden Divergences: These checkboxes give traders the option to display regular and hidden divergences between the AVAMI and the asset's price. Divergences are crucial market structures that often signal potential price reversals.
Index Logic:
The AVAMI index begins with the calculation of a simple rate of change momentum indicator. This raw momentum is then adjusted by the standard deviation of log returns, which acts as a measure of market volatility. This adjustment process ensures that the resulting momentum index encapsulates not only the speed of price changes but also the market's volatility context.
The raw AVAMI is then smoothed using a moving average, and a signal line is generated as an exponential moving average (EMA) of this smoothed AVAMI. This signal line serves as a trigger for potential trading signals when crossed by the AVAMI.
The script also includes an algorithm to identify 'fractals', which are distinct price patterns that often act as potential market reversal points. These fractals are utilized to spot both regular and hidden divergences between the asset's price and the AVAMI.
Application and Strategy Concepts:
The AVAMI is a versatile tool that can be integrated into various trading strategies. Traders can utilize the overbought and oversold levels to identify potential reversal points. The AVAMI crossing the mid-level line can signify a change in market momentum. Additionally, the identification of regular and hidden divergences can serve as potential trading signals:
Regular Divergence: This happens when the asset's price records a new high/low, but the AVAMI fails to follow suit, suggesting a possible trend reversal. For instance, if the asset's price forms a higher high but the AVAMI forms a lower high, it's a regular bearish divergence, indicating potential price downturn.
Hidden Divergence: This is observed when the price forms a lower high/higher low, but the AVAMI forms a higher high/lower low, suggesting the continuation of the prevailing trend. For example, if the price forms a lower low during a downtrend, but the AVAMI forms a higher low, it's a hidden bullish divergence, signaling the potential continuation of the downtrend.
As with any trading tool, the AVAMI should not be used in isolation but in conjunction with other technical analysis tools and within the context of a well-defined trading plan.
ICT TGIF_V2 [MK]The ICT T.G.I.F (Thank God Its Friday) works on the following strategy:
1. Friday makes the High/Low of the Week.
2. The Weekly High/Low range is used to calculate 20-30% levels. (see chart above)
3. Trades are taken in the Friday PM session (NY EST) with the idea that price may retrace to the 20-30% level.
The indicator plots the following levels:
1. Week High
2. Week Low
3. Week Open
3. 20-30% level in upper part of weekly range (only shows if Friday has made the high of the week)
4. 20-30% level in lower part of weekly range (only shows if Friday has made the low of the week)
It is possible to show all historical levels listed above for the purpose of back-testing the TGIF strategy.
Also it is possible to disable all the historical and current levels, in which case only the 20-30% levels will show when Friday has made the Week High/Low (the 20-30% level only shows from 1200-1600 on Friday to keep charts as clean as possible.
Users of this script, and any script for that matter, should always do proper back-testing before taking any trades.
Many thanks should be given to ICT (The Inner Circle Trader) for bringing this strategy to the trading community.
Below shows indicator with all levels turned ON
Below shows indicator with all levels turned OFF (this allows for cleaner charts)
EMA ProHi Traders!
This Improved EMA Cross Pro Indicator does a few things that Ease Up Our Charting.
Personally it Saved me Tons of Time searching for structure highs / lows, measuring ranges and distances from my entry to stop or take profit.
It's like having most of your trade in front of you, charted for you.
Works Across Assets & Time Frames.
The Functions
1. Signals EMA Crosses - green for Bull Cross & Red for Bear Cross
2. Signals Touches to the 55 EMA
a. In a Bull Cross it will only signal touches and closes Above the 55
b. In a Bear Cross it will only signal touches and closes Under the 55
3. Plots Current Horizontals:
a. The current position of the 55
b. The last High & Low
4. Calculation:
a. % from the 55 to the High & Low
b. Risk / Reward Ratio ("Bad Risk Management" message appears if ratio is not favorable)
c. Over Range between the Low and the High
5. Labels - Current prices for all horizontals marked as Entry, Exit & Stop
Notes:
* This Indicator is Interchanging between bull and bear crosses, it recognizes the trend and adapts its high and low output.
* You Can and Should make your personal changes. everything can be changed in the settings inputs.
* You can Turn On & Off most functions in the settings inputs.
BYBIT:BTCUSDT.P
Dual Dynamic Fibonacci Retracement — Long and Short Duration
Title : "The Dual-Dynamic Fibonacci Retracement Script: An Advanced Tool for Comprehensive Market Analysis"
As the author of the "Dual-Dynamic Fibonacci Retracement Script", I am delighted to introduce you to this cutting-edge tool for technical analysis. Unlike conventional Fibonacci scripts, this advanced model incorporates multiple unique features and adjustments that make it a powerful asset for any market analyst. Whether you're dealing with forex, commodities, equities or any other market, this script is versatile enough to enhance your trading strategy.
Uniqueness & Differentiation:
The "Dual-Dynamic Fibonacci Script" stands out by offering two distinct lookback periods. This feature is what separates it from other scripts available in the market. The first lookback period is longer, focusing on capturing broader market trends. The second lookback period is shorter, allowing for a more granular analysis of near-term market fluctuations. This dual perspective provides a more comprehensive view of the market, allowing you to see both the forest and the trees at the same time.
Fibonacci Levels:
While offering the standard Fibonacci retracement levels (0.236, 0.382, 0.5, 0.618, 0.786, and 1.0), the script also gives you the ability to plot 0.114 and 0.886 levels. These additional levels offer an extra layer of depth to your analysis, and can prove crucial in high-volatility markets where they often serve as significant support and resistance points.
Customizable Line Shifts and Extends:
This script provides options for customization of the shift and extension of the plotted lines. This means you can adjust the start and end points of the Fibonacci lines according to your personal trading style and strategy. This level of personalization is not typically available in other scripts, and it allows for a more tailored visual representation.
Flexible Trading Positioning:
Depending on whether the closing price is above or below the midpoint of the pivot high and pivot low, the Fibonacci retracement levels are adjusted accordingly. This ensures the script remains relevant and useful regardless of market conditions.
Clean Visualization:
To prevent clutter and maintain focus on the most relevant price action, the script removes old Fibonacci lines and plots new ones once a new pivot high or low is identified. This clean visualization helps keep your analysis focused and sharp.
How to Use the Script:
To get started, simply adjust the lookback periods according to your trading strategy. If you're a long-term investor or prefer swing trading, a longer lookback period might be appropriate. Conversely, if you're a day trader, a shorter lookback period might be more beneficial.
The "Shift" and "Extend" inputs allow you to control the positioning of the Fibonacci lines on your chart. Positive values shift the lines to the right, while negative values shift them to the left.
You also have the choice to plot the additional Fibonacci levels (0.114 and 0.886) via the "Plot 0.114 and 0.886 levels?" input. Similarly, the "Plot second set of levels?" input lets you decide whether to display the second set of Fibonacci levels derived from the shorter lookback period.
Like any technical analysis tool, this script is most effective when used in conjunction with other indicators and methods of analysis. It is designed to work well in trending markets, where Fibonacci retracements can often indicate potential reversal levels. However, it's always recommended to use a holistic approach to market analysis to maximize the likelihood of successful trades.
Note: the two lines drawn on the chart are there to help the user identify the levels from which the two respective Fib sequences are calculated.
~~~
Input Explanations:
Long Period Pivot High/Low Lookback and Short Period Pivot High/Low Lookback : These settings determine the length of the lookback periods for the long-term and short-term pivot points, respectively. A pivot point is a technical analysis indicator used to determine the overall trend of the market over different time frames. The pivot points are then used to calculate the Fibonacci levels. A longer lookback period will identify pivot points over a broader time frame, capturing major market trends, while a shorter lookback period will identify pivot points over a narrower time frame, capturing more immediate market movements.
Long Period Fibonacci Level Shift and Short Period Fibonacci Level Shift : These inputs control the shift of the Fibonacci levels based on the long and short lookback periods, respectively. If you want to shift the Fibonacci levels to the right, increase the value. If you want to shift the Fibonacci levels to the left, decrease the value. This allows you to adjust the Fibonacci levels to better align with your analysis.
Long Period Fibonacci Level Extend and Short Period Fibonacci Level Extend : These inputs control the extension of the Fibonacci levels based on the long and short lookback periods, respectively. If you want the Fibonacci levels to extend further to the right, increase the value. If you want the Fibonacci levels to extend less to the right, decrease the value. This feature provides the flexibility to adjust the length of the Fibonacci levels according to your personal trading preferences and strategy.
Plot 0.114 and 0.886 levels? : This setting gives you the ability to plot the additional 0.114 and 0.886 Fibonacci levels. These levels provide extra depth to your analysis, particularly in highly volatile markets where they can act as significant support and resistance levels.
Plot second set of levels? : This input allows you to decide whether to plot the second set of Fibonacci levels based on the short lookback period. Displaying this second set of levels can provide a more granular view of market movements and potential reversal points, enhancing your overall analysis.
Draw Several Horizontal Lines [MsF]Japanese below / 日本語説明は英文の後にあります。
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This indicator that automatically draws a horizontal line by copying from the input High/Low. Useful for doing horizon analysis. It's possible to display Fibonacci based on the entered High/Low. You can get the alert of each Fibonacci point.
- Parameter
Input Upper Value: Enter the High value
Input Lower Value: Enter the Low value
Band Range Count : Enter the number of horizontal lines
Fibonacci : visible or invisible
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入力したHigh/Lowを起点に水平線を上下にコピーして自動で描画するインジケーターです。水平線分析を行うのに役立ちます。
また、入力したHigh/Lowを元にfibonacciを表示することも可能です。fibonacciについては、各ポイント毎にアラートの設定も可能です。
＜パラメータ説明＞
Input Upper Value：起点となるHighを入力してください
Input Lower Value：起点となるLowを入力してください
Band Range Count ：水平線を上下にコピーする本数を入力してください
Fibonacci ：フィボナッチが不要な場合はfalseにしてください
Extension %This is a tracking tool to measure two different kinds of distances:
- Gaps, from the open/close or the high/low value to the nearest open/close or high/low value.
- Price extensions of one or two candles from a preferred starting point (open, high, low or close) to a final point (open, high, low or close). The two-candles mode includes an optional rectangle to help you visualize the first and the last point of the measurement.
The script will plot a label with a percentage when the extension reaches the value you set. Unless you choose to track the one-candle price extension, the label will always be displayed on the high/low value of the second candle.
DB Change Forecast ProDB Change Forecast Pro
What does the indicator do?
The DB Change Forecast Pro is a unique indicator that uses price change on HLC3 to detect buy and sell periods along with plotting a linear regression price channel with oversold and undersold zones. It also has a linear regression change forecast mode to optionally project market direction.
Change is calculated by taking a two-bar change of HLC3 and dividing that by the price or, optionally, a fixed divisor.
A fast-moving change cloud is then calculated and displayed as the "regular version" plot (shown in light gray). When the cloud bottom is above low, a buy zone is detected. When the cloud top is below the high, a sell zone is detected.
The linear regression price channel is calculated similarly but using a much slower change rate. The linear regression price channel shows reasonable high, low and HLC3 ranges. At the bar's opening, the channel will be more compact and come fairly accurate about 1/4 into the bar timeframe.
The change forecasted price is projected on the right side of the current bar to indicate the current timeframe direction. Please note this forecasting feature is shown in orange when it's early in the timeframe and gray when the timeframe is more likely to produce an accurate direction forecast for the upcoming bar.
You can use these projected dashed lines to see possible market movements for the Current bar and possible market direction for the next bar. Kindly note these projects change; they should be used to understand possible extreme highs/lows for the current bar or market direction.
The indicator includes an optional change forecast projection feature hidden by default. It will project the market forecast channel with an offset of 1. The forecast is defaulted to an offset of 1 to show market direction. However, you can modify to zero the offset to show the current bar forecast and forecast history.
How should this indicator be used?
First, very important,
1. Settings > Set Symbol to Desired
2. Settings > Set High Timeframe to "Chart"
3. Settings > Ensure "Use price as divisor" is checked.
It's recommended to use this indicator in higher timeframes. Buy and sell signals are displayed in real-time. However, waiting until 1/4 to 1/2 into the current bar is recommended before taking action, and change can happen.
The buy/sell signals (zones) provide recommendations on playing a long vs. a short. When in a buy sone, only play longs. When in a sell zone, only play shorts.
Then use the linear regression price channel oversold and undersold zones to optionally open and close positions within the buy/sell zones.
For example, consider opening a long in a buy zone when the linear regression price channel shows undersold. Then consider closing the long when the price moves into the linear regression oversold or higher. Then repeat as long as it's in the buy zone. Then vice versa for sell zones and shorting.
At basic design, buy in the buy zone, sell or short in the sell zone. If you are up for higher trading frequencies, use the linear regression price channel as described in the example above.
Please note, as, with all indicators, you may need to adjust to fit the indicator to your symbol and desired timeframe.
This is only an example of use. Please use this indicator as your own risk and after doing your due diligence.
Does the indicator include any alerts?
Yes,
"DB CFHLC3: Signal BUY" - Is triggered when a buy signal is fired.
"DB CFHLC3: Signal SELL" - Is triggered when a sell signal is fired.
"DB CFHLC3: Zone BUY" - Is triggered when a buy zone is detected.
"DB CFHLC3: Zeon SELL" - Is triggered when a sell zone is detected.
"DB CFHLC3: Oversold SELL" - Is triggered when the price exceeds the oversold level.
"DB CFHLC3: Undersold BUY" - Is triggered when the price goes below the undersold level.
Any other tips?
Once you have configured the indicator for your symbol and chart timeframe. Meaning the plots are displayed over the price. Check out larger timeframes such as W, 2W, 3W, 4W, M, and 4M. It works wonderfully for showing market lows and highs for long-term investing too!
Another, tip is to combine it with your favorite indicator, such as TTM Squeeze or MACD for confirmation purposes. You may be surprised how fast the indicator shows market direction changes on higher timeframes.
You can just as easily use a high timeframe such as D, 2D, or 3D for day trading due to how the linear price channel works.
Why am I not selling this indicator?
I would like to bless the TradingView community, and I enjoy publishing custom indicators.
If you enjoy this indicator, please consider leaving a thumbs up or a comment for others to know about your experience or recommendations.
Enjoy!
Parkinson's Historical Volatility Bands [Loxx]Parkinson's Historical Volatility Bands are constructed using:
Average as the middle line.
Upper and lower bands using the Parkinson's historical volatility (instead of "regular" Historical Volatility) for bands calculation.
What is Parkinson's Historical Volatility?
The Parkinson's number, or High Low Range Volatility developed by the physicist, Michael Parkinson in 1980, aims to estimate the Volatility of returns for a random walk using the High and Low in any particular period. IVolatility.com calculates daily Parkinson values. Prices are observed on a fixed time interval: n = 10, 20, 30, 60, 90, 120, 150, 180 days.
SH is stock's High price in t day.
SL is stock's Low price in t day.
High/Low Return (xt^HL) is calculated as the natural logarithm of the ratio of a stock's High price to stock's Low price.
Return:
And Parkinson's number: 1 / (4 * math.log(2)) * 252 / n * Σ (n, t =1) {math.log(Ht/Lt)^2}
An important use of the Parkinson's number is the assessment of the distribution prices during the day as well as a better understanding of the market dynamics. Comparing the Parkinson's number and periodically sampled volatility helps traders understand the tendency towards mean reversion in the market as well as the distribution of stop-losses.
The color of the middle line, unlike the bands colors, has 3 colors. When colors of the bands are the same, then the middle line has the same color, otherwise it's white.
Included
Alerts
Signals
Loxx's Expanded Source Types
Bar coloring
Intraday Buy/Sell using Gann Angles - RiTzIntraday Buy/Sell Levels using Gann Angles based on Todays Open/previous Day High/Low/Close prices
How to use this :
The Buy/Sell levels will be calculated on 1 of 4 things (you can choose any one which you prefer)
1. Todays Open price
2. Previous Day High
3. Previous Day Low
4. Previous Day Close
The Buy/Sell levels will be displayed in these ways
1. In a Table
2. on the Chart
You can turn them on/off according to your preference!
I can't seem to find the original documentation or a link to it.
i have it's excel file, in which we have to enter following data :
1. Todays Open price
2. Previous Day High
3. Previous Day Low
4. Previous Day Close
and the buy/sell levels are calculated by using the above data in following manner :
Based On Today's Opening Price
(lets call it TDO)
Degree's````````````````` Degree Factor```````````````````````` Buy````````````````````````` Sell
11.25```````````````````` =degree/180=11.25/180=0.0625````````` =(sqrt(TDO)-0.0625)^2``````` =(sqrt(TDO)+0.0625)^2````` SL
22.5````````````````````` =degree/180=22.5/180=0.125``````````` =(sqrt(TDO)+0.125)^2```````` =(sqrt(TDO)-0.125)^2`````` Buy/Sell At
45``````````````````````` =degree/180=45/180=0.25`````````````` =(sqrt(TDO)+0.25)^2````````` =(sqrt(TDO)-0.25)^2``````` Target-1
90``````````````````````` =degree/180=90/180=0.5``````````````` =(sqrt(TDO)+0.5)^2`````````` =(sqrt(TDO)-0.5)^2```````` Target-2
135`````````````````````` =degree/180=135/180=0.75````````````` =(sqrt(TDO)+0.75)^2````````` =(sqrt(TDO)-0.75)^2``````` Target-3
180`````````````````````` =degree/180=180/180=1```````````````` =(sqrt(TDO)+1)^2```````````` =(sqrt(TDO)-1)^2`````````` Target-4
225`````````````````````` =degree/180=225/180=1.25````````````` =(sqrt(TDO)+1.25)^2````````` =(sqrt(TDO)-1.25)^2``````` Target-5
270`````````````````````` =degree/180=270/180=1.5`````````````` =(sqrt(TDO)+1.5)^2`````````` =(sqrt(TDO)-1.5)^2```````` Target-6
315`````````````````````` =degree/180=315/180=1.75````````````` =(sqrt(TDO)+1.75)^2````````` =(sqrt(TDO)-1.75)^2``````` Target-7
360`````````````````````` =degree/180=360/180=2```````````````` =(sqrt(TDO)+2)^2```````````` =(sqrt(TDO)-2)^2`````````` Target-8
sqrt = square root
TDO = Today's Opening Price
PDH = Previous Days High
PDL = Previous Days Low
PDC = Previous Days Close
Based On Previous Days High Price
(lets call it PDH)
Degree's````````````````` Degree Factor```````````````````````` Buy````````````````````````` Sell
11.25```````````````````` =degree/180=11.25/180=0.0625````````` =(sqrt(PDH)-0.0625)^2``````` =(sqrt(PDH)+0.0625)^2````` SL
22.5````````````````````` =degree/180=22.5/180=0.125``````````` =(sqrt(PDH)+0.125)^2```````` =(sqrt(PDH)-0.125)^2`````` Buy/Sell At
45``````````````````````` =degree/180=45/180=0.25`````````````` =(sqrt(PDH)+0.25)^2````````` =(sqrt(PDH)-0.25)^2``````` Target-1
90``````````````````````` =degree/180=90/180=0.5``````````````` =(sqrt(PDH)+0.5)^2`````````` =(sqrt(PDH)-0.5)^2```````` Target-2
135`````````````````````` =degree/180=135/180=0.75````````````` =(sqrt(PDH)+0.75)^2````````` =(sqrt(PDH)-0.75)^2``````` Target-3
180`````````````````````` =degree/180=180/180=1```````````````` =(sqrt(PDH)+1)^2```````````` =(sqrt(PDH)-1)^2`````````` Target-4
225`````````````````````` =degree/180=225/180=1.25````````````` =(sqrt(PDH)+1.25)^2````````` =(sqrt(PDH)-1.25)^2``````` Target-5
270`````````````````````` =degree/180=270/180=1.5`````````````` =(sqrt(PDH)+1.5)^2`````````` =(sqrt(PDH)-1.5)^2```````` Target-6
315`````````````````````` =degree/180=315/180=1.75````````````` =(sqrt(PDH)+1.75)^2````````` =(sqrt(PDH)-1.75)^2``````` Target-7
360`````````````````````` =degree/180=360/180=2```````````````` =(sqrt(PDH)+2)^2```````````` =(sqrt(PDH)-2)^2`````````` Target-8
Based On Previous Days Low Price
(lets call it PDL)
Degree's````````````````` Degree Factor```````````````````````` Buy````````````````````````` Sell
11.25```````````````````` =degree/180=11.25/180=0.0625````````` =(sqrt(PDL)-0.0625)^2``````` =(sqrt(PDL)+0.0625)^2````` SL
22.5````````````````````` =degree/180=22.5/180=0.125``````````` =(sqrt(PDL)+0.125)^2```````` =(sqrt(PDL)-0.125)^2`````` Buy/Sell At
45``````````````````````` =degree/180=45/180=0.25`````````````` =(sqrt(PDL)+0.25)^2````````` =(sqrt(PDL)-0.25)^2``````` Target-1
90``````````````````````` =degree/180=90/180=0.5``````````````` =(sqrt(PDL)+0.5)^2`````````` =(sqrt(PDL)-0.5)^2```````` Target-2
135`````````````````````` =degree/180=135/180=0.75````````````` =(sqrt(PDL)+0.75)^2````````` =(sqrt(PDL)-0.75)^2``````` Target-3
180`````````````````````` =degree/180=180/180=1```````````````` =(sqrt(PDL)+1)^2```````````` =(sqrt(PDL)-1)^2`````````` Target-4
225`````````````````````` =degree/180=225/180=1.25````````````` =(sqrt(PDL)+1.25)^2````````` =(sqrt(PDL)-1.25)^2``````` Target-5
270`````````````````````` =degree/180=270/180=1.5`````````````` =(sqrt(PDL)+1.5)^2`````````` =(sqrt(PDL)-1.5)^2```````` Target-6
315`````````````````````` =degree/180=315/180=1.75````````````` =(sqrt(PDL)+1.75)^2````````` =(sqrt(PDL)-1.75)^2``````` Target-7
360`````````````````````` =degree/180=360/180=2```````````````` =(sqrt(PDL)+2)^2```````````` =(sqrt(PDL)-2)^2`````````` Target-8
Based On Previous Days Close Price
(lets call it PDC)
Degree's````````````````` Degree Factor```````````````````````` Buy````````````````````````` Sell
11.25```````````````````` =degree/180=11.25/180=0.0625````````` =(sqrt(PDC)-0.0625)^2``````` =(sqrt(PDC)+0.0625)^2````` SL
22.5````````````````````` =degree/180=22.5/180=0.125``````````` =(sqrt(PDC)+0.125)^2```````` =(sqrt(PDC)-0.125)^2`````` Buy/Sell At
45``````````````````````` =degree/180=45/180=0.25`````````````` =(sqrt(PDC)+0.25)^2````````` =(sqrt(PDC)-0.25)^2``````` Target-1
90``````````````````````` =degree/180=90/180=0.5``````````````` =(sqrt(PDC)+0.5)^2`````````` =(sqrt(PDC)-0.5)^2```````` Target-2
135`````````````````````` =degree/180=135/180=0.75````````````` =(sqrt(PDC)+0.75)^2````````` =(sqrt(PDC)-0.75)^2``````` Target-3
180`````````````````````` =degree/180=180/180=1```````````````` =(sqrt(PDC)+1)^2```````````` =(sqrt(PDC)-1)^2`````````` Target-4
225`````````````````````` =degree/180=225/180=1.25````````````` =(sqrt(PDC)+1.25)^2````````` =(sqrt(PDC)-1.25)^2``````` Target-5
270`````````````````````` =degree/180=270/180=1.5`````````````` =(sqrt(PDC)+1.5)^2`````````` =(sqrt(PDC)-1.5)^2```````` Target-6
315`````````````````````` =degree/180=315/180=1.75````````````` =(sqrt(PDC)+1.75)^2````````` =(sqrt(PDC)-1.75)^2``````` Target-7
360`````````````````````` =degree/180=360/180=2```````````````` =(sqrt(PDC)+2)^2```````````` =(sqrt(PDC)-2)^2`````````` Target-8
example based On Today's Opening Price = 4339
Degree's```````` Degree Factor```````` Buy`````````` Sell
11.25``````````` 0.0625``````````````` 4330.77`````` 4347.24```````` SL
22.5```````````` 0.125```````````````` 4355.48`````` 4322.55```````` Buy/Sell At
45`````````````` 0.25````````````````` 4372.00`````` 4306.13```````` Target-1
90`````````````` 0.5`````````````````` 4405.12`````` 4273.38```````` Target-2
135````````````` 0.75````````````````` 4438.37`````` 4240.76```````` Target-3
180````````````` 1```````````````````` 4471.74`````` 4208.26```````` Target-4
225````````````` 1.25````````````````` 4505.24`````` 4175.88```````` Target-5
270````````````` 1.5`````````````````` 4538.86`````` 4143.64```````` Target-6
315````````````` 1.75````````````````` 4572.61`````` 4111.51```````` Target-7
360````````````` 2```````````````````` 4606.48`````` 4079.52```````` Target-8
Note : ignore the '`' , inserted them to fill up the spaces , it was looking very weird!, tried to fix it as much as I can.
Note :- Please correct me if I'm wrong , as I've already mentioned I don't have it's original documentation.
if anyone can find it or already has it then please feel free to share it.
Day Week Month High & LowThis is a small little script that helps visually mark the high and lows of the DAY, WEEK or MONTH (of your choosing). It's best when paired with my High and Low Fibonacci Pivot Points indicator to help emphasize the high and lows of the day, week or month.
Moving Average Filters Add-on w/ Expanded Source Types [Loxx]Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read about the expanded source types clicking here . About half of these moving averages are closed source on other trading platforms. This indicator serves as a reference point for future public/private, open/closed source indicators that I publish to TradingView. Information about these moving averages was gleaned from various forex and trading forums and platforms as well as TASC publications and other assorted research publications.
________________________________________________________________
Included moving averages
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA, it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA.
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average (DEMA) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA. It's also considered a leading indicator compared to the EMA, and is best utilized whenever smoothness and speed of reaction to market changes are required.
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA (Simple Moving Average). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA.
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Hull Moving Average - HMA
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points.
IE/2 - Early T3 by Tim Tilson
The IE/2 is a Moving Average that uses Linear Regression slope in its calculation to help with smoothing. It's a worthy Moving Average on it's own, even though it is the precursor and very early version of the famous "T3 Indicator".
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA (Simple Moving Average) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA (Least Squares Moving Average)
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA. Although it's similar to the Simple Moving Average, the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track price better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average. The Linear Weighted Moving Average calculates the average by assigning different weight to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrows price.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA.
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average (SMA), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen a an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA (Smoothed Moving Average). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA. They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
The TMA and Sine Weighted Moving Average Filter are almost identical at times.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, it's signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers.
Volume Weighted EMA - VEMA
Utilizing tick volume in MT4 (or real volume in MT5), this EMA will use the Volume reading in its decision to plot its moves. The more Volume it detects on a move, the more authority (confirmation) it has. And this EMA uses those Volume readings to plot its movements.
Studies show that tick volume and real volume have a very strong correlation, so using this filter in MT4 or MT5 produces very similar results and readings.
Zero Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers, as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA, this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
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What are Heiken Ashi "better" candles?
The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.)
They proposed to use the following:
(Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2))
instead of using :
haClose = (O+H+L+C)/4
According to that document the HA representation using their proposed formula is better than the traditional formula.
What are traditional Heiken-Ashi candles?
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
Expanded generic source types:
Close = close
Open = open
High = high
Low = low
Median = hl2
Typical = hlc3
Weighted = hlcc4
Average = ohlc4
Average Median Body = (open+close)/2
Trend Biased = (see code, too complex to explain here)
Trend Biased (extreme) = (see code, too complex to explain here)
Included:
-Toggle bar color on/off
-Toggle signal line on/off
Equal Highs and Equal LowsA simple indicator that detects if two candles lows or highs are equal. The pattern simply indicates the possibility of a reversal. However, many traders also use the Equal highs/lows within a broader context of market analysis to provide insights for trend traders, especially to detect pullbacks.
Equal Highs/Lows are a pattern that can indicate a shift in a trend direction or to find pullbacks within an established trend. The idea behind the equal highs and lows is that the first candle shows a strong move in the current direction, and the second candle pauses the previous candlestick price action. It's a clear sign that the momentum is slowing down. This insight is valuable for traders and can detect a potential change in the trend direction.
Usage
Use the pattern to find reversals.
Use the pattern to find pullbacks.
Disclaimer: No financial advice, only for educational/entertainment purposes.
HLC True Strength Indicator (with Vix)HLC True Strength Indicator Volume Weighted with Vix Line by SpreadEagle71
This indicator is a True Strength Indicator with Close, High and Low used together, along with the TSI of the Vix.
The white line is the close. The red line is the lows and the blue is the highs. These are also volume-weighted.
How to Interpret:
1. zero line crosses. If SPY/SPX500 crosses the zero line, then its bullish. If the purple Vix line crosses up, watch out because this is bearish.
2. white/blue/red lines cross purple (Vix). If they cross upwards, this is bullish. If downward, this is bearish. Basically, SPX, ES1!, SPY or even DIA can be used. The security and the Vix should travel in opposite directions and cross the zero-line at the same time. But this is not always the case.
3. Black area infills. These are used between the close and the highs (blue) and the lows(red). Close should not be between these in order to have momentum.
4. Close (white line) leads. Close is the last price so it tends to show where the others (highs and lows) are going. If the close is sagging below a high where the blue lines are on top, this could mean that there is a reversal coming. Same holds true for a white line above a "valley" formed by the blue and red lines; it could mean a reversal to the upside soon.
5. The Black Infill areas as a squeeze or contraction/expansion area. The thinner the black infill areas, the more of a momentum "squeeze" could be present. Wide black infill areas mean increased volatility and what may come next is a reversion to the mean for volatility. See TTM Squeeze Indicator or the Squeeze Momentum Indicator (kudos LazyBear).
Lastly, just remember indicators indicate; they are not magic. :)
SpreadEagle71
JNSAR-DPJNSAR:
Take Last 5 days, 5 periods High, Low and Close EMA. We shall have 15 such EMAs. Its average is JNSAR.
EMAs:
Plot High and Low EMAs for the 5 periods.
If close is above high EMA, fill the band with green color, if close is below low ema, fill the band with red color. If close is between high and low EMAs, fill the band with
grey color.
Display the indicator in a Day and Week and Hour time frames.
How to use:
When you see a green color band, there are high chances of price to move higher. If you see a red color band, there are high chances of the price to move lower. If you
see more grey color, there are high chances of the price to move sideways.
Disclaimer:
This indicator is for education or study purpose. There is no recommendation to buy or sell any scrip here. Take your own risks and rewards and you are only the
responsible for any outcome after using this indicator.
