[MAD] CurveBuilderThe CurveBuilder is a versatile indicator that constructs channels using selectable input averages weighted together.
It also incorporates scalable and shiftable offsets on the resulting bands.
This indicator allows users to customize various settings to tailor the channel construction according to their trading strategy.
here a example screenshot of 3 different settings overlayed
Key Features:
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1. Moving Average Timeframe: Select the timeframe for the moving average calculation on the middle line.
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2. Middleline Settings:
Allow you to customize the parameters related to the middle line of the channel.
The middle line is constructed using two moving averages, which can be selected from the various types available.
Here are the details of the Middleline Settings:
1. MA Type: This setting allows you to choose the type of moving average for the first average. You have the following options:
Weighted Moving Average (WMA), Hull Moving Average (HMA), Volume Weighted Moving Average (VWMA), Linear Moving Average (LMA),
Regular Moving Average (RMA), Simple Moving Average (SMA), Exponential Moving Average (EMA), EMA, Ehlers Gaussian,
Ehlers Smoother, Ehlers Supersmoother, Ehlers Butterworth, ChebyshevI, ChebyshevII
Length (1st MA): This parameter allows you to set the length or period of the first moving average. The length determines the number of bars considered in the calculation of the moving average.
2. MA Type: Similar to the first moving average, this setting lets you choose the type of moving average for the second average.
Length (2nd MA): This parameter sets the length or period of the second moving average. The length determines the number of bars considered in the calculation of the moving average.
3. Weighting:
This option allows you to adjust the weighting factor when merging from the first moving average to the second moving average.
By modifying the weighting, you can control the influence of the first average on the second average.
By selecting different moving average types, adjusting their lengths, and modifying the weighting factor, you can fine-tune the behavior of the middle line in the channel.
This flexibility allows you to customize the indicator to align with your preferred trading strategy and market conditions.
Best results are given when there is a maximum hitrate on retraces to the middleline, and many relevant directionchanges are near that line.
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3. Averaging Settings:
Offset of Curve in Bars: Shifts the indicator into the future by specifying the number of bars.
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4. Band Settings:
The Band Settings in the Multitimeframe Channel Builder indicator allow you to configure the parameters related to the construction of the bands around the middle line.
The bands provide an upper and lower boundary that help define the width of the channel. Here are the details of the Band Settings:
Band Mode:
This setting determines the method used to calculate the bands. You have the following options:
Off: Bands are turned off, and no calculations are performed.
True Range: Bands are calculated using the True Range.
Average True Range: Bands are calculated using the Average True Range.
Standard Deviation: Bands are calculated using the Standard Deviation.
Rate of Change: Bands are calculated using the Rate of Change.
Relative Strength Index: Bands are calculated using the Relative Strength Index.
Length (Bands):
This parameter sets the length or period used in the calculation of the bands. The length determines the number of bars considered when calculating the bands.
Band 1-3 Multiplicator:
These parameters allow you to adjust the scaling factor for each band. The multiplicative factor determines the width of the bands relative to the middle line.
Higher values result in wider bands, while lower values result in narrower bands.
Offset in % (Bands):
These parameters enable you to specify the offset percentage for each band. The offset represents the distance between the middle line and the bands.
A positive offset moves the bands further away from the middle line, while a negative offset brings the bands closer to the middle line.
By selecting the desired band mode, adjusting the length parameter, and modifying the multiplicators and offsets,
you can customize the width and positioning of the bands.
This flexibility allows you to adapt the indicator to different market conditions and trading strategies.
Note that if the Band Mode is set to "Off," the bands will not be displayed, regardless of the other band settings.
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5. Band Final Smooth:
The Band Final Smooth settings in the Multitimeframe Channel Builder indicator enable you to apply a smoothing technique to the constructed bands.
By selecting the desired smoothing type and adjusting the length parameter, you can customize the level of smoothing applied to the bands.
This helps to filter out short-term fluctuations and emphasize the underlying trend, providing a clearer visualization of the price channel.
Smooth Bands: This option allows you to enable or disable the smoothing of the bands. When enabled, the indicator applies the selected smoothing technique to the bands.
Smooth Type: You can choose the type of smoothing to apply to the bands. The available options include:
Weighted Moving Average (WMA), Hull Moving Average (HMA), Volume Weighted Moving Average (VWMA), Linear Moving Average (LMA),
Regular Moving Average (RMA), Simple Moving Average (SMA), Exponential Moving Average (EMA), EMA, Ehlers Gaussian,
Ehlers Smoother, Ehlers Supersmoother, Ehlers Butterworth, ChebyshevI, ChebyshevII
Length (Smooth Bands): This parameter sets the length or period of the smoothing technique applied to the bands.
A longer length will result in a smoother representation of the bands, while a shorter length will provide more responsiveness to price changes.
Final Smooth settings are optional, and you can choose to exclude smoothing if it does not align with your trading strategy or preferences.
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6. Alert Settings:
The Alert Settings in the Multitimeframe Channel Builder indicator allow you to configure the parameters related to the generation of alert notifications based on specific conditions.
Alerts can help you stay informed about potential trading opportunities. Here are the details of the Alert Settings:
Alert Mode: This setting determines the type of alert triggered by the indicator. You have the following options:
Band-outside: Generates an alert when the price moves outside the constructed channel bands.
Band-crossin: Generates an alert when the price crosses above or below the channel bands.
Band-crossout: Generates an alert when the price crosses back inside the channel bands.
Trend: Generates an alert when there is a significant trend change (over or under the middleline).
Oscillator: Generates an alert based on the behavior of the oscillator, if in Oscillator mode.
Spikedetection: This option allows you to enable or disable spike detection in the alerts. When enabled, the indicator considers spikes or sudden price movements when generating alerts.
By selecting the appropriate Alert Mode and configuring spike detection, you can receive alert notifications that align with your trading strategy and help you identify potential trading opportunities.
It's important to note that alert settings alone do not place trades automatically.
They serve as notifications for you to review and analyze the situation before making trading decisions.
Make sure to have a proper understanding of the selected alert mode and its implications in your trading strategy.
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7. Operation Mode:
The Multitimeframe Channel Builder indicator offers three operation modes: Channels, Oscillator, and Noplot.
This setting determines how the indicator is displayed on the chart and what type of information it provides.
Channels Mode:
When the indicator is set to channel mode, it will be displayed as an overlay on the chart. It generates channel lines based on the selected moving average types and their lengths.
These channels can help identify support and resistance levels or potential price breakout points. The channel lines are plotted on the chart,
providing a visual representation of the price movements within the channels.
Oscillator Mode: In Oscillator mode, the indicator is presented on a separate plane below or above the main chart, which you need to move manually.
It generates an oscillator based on the configured settings, including the selected moving averages and their lengths.
The oscillator provides insights into the market's momentum and overbought/oversold conditions.
It consists of horizontal lines representing different levels, such as upper and lower boundaries, and a middle line.
Traders can analyze the oscillator's movements and crossovers to identify potential trading signals.
Noplot Mode: Setting the indicator to Noplot mode disables all visual plotting on the chart. However, the indicator still generates alerts based on the configured settings.
This mode is useful if you only want to receive alert notifications for trading opportunities without cluttering the chart with additional visual elements.
Channels mode is ideal for analyzing price movements within defined channels,
Oscillator mode provides insights into market momentum, and
Noplot mode allows for focus on alert notifications without visual distractions on the chart.
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8. Oscillator Settings (Only applicable in Oscillator mode):
Hline from highest to lowest: Set the values for the highest to lowest horizontal lines.
POW-Compression: Adjust the compression factor for the oscillator.
Multiplier: Set the multiplier for the oscillator.
Oscillator Normalization Lockback: Specify the minimum time for normalization in the oscillator.
Detection Length and Filter Length: Set the lengths for the oscillator detection and filter.
Show Acceleration: Enable or disable the display of acceleration.
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9. Label Settings:
Decimals for Labels: Choose the number of decimals for label values.
Show Alerts (L1, L2, L3): Toggle the visibility of alerts for each level. Alert 1 is a minor alert, 3 a major
Label Color: Set the color for the labels.
Display Lines: Show or hide the lines on the chart.
Display Prices: Show or hide the price levels on the chart.
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10. Signal Config:
This Indicator offers a signal transmission configuration section specifically for Multibit implementation.
This feature allows you to transmit signals between multiple instances of the indicator, creating a daisychain effect. Here are the details of the Multibit implementation settings:
Signal Type: This setting determines the type of signal transmission used. You have the following options:
MultiBit: Enables the Multibit signal transmission.
MultiBit_pass: Enables the Multibit signal transmission with infusion.
NoInput: Disables the signal transmission.
Select Incoming Indicator: This parameter allows you to select the incoming indicator for signal transmission. You can choose any valid input source, such as the closing price or another indicator.
Channel configuration:
Channel long signal 1: Specify the channel used to transmit long signals for the first instance in the daisychain. Choose a value from -1 to 15 to represent different channels.
Channel short signal 1: Specify the channel used to transmit short signals for the first instance in the daisychain. Choose a value from -1 to 15 to represent different channels.
Channel long signal 2: Specify the channel used to transmit long signals for the second instance in the daisychain.
Channel short signal 2: Specify the channel used to transmit short signals for the second instance in the daisychain.
Channel long signal 3: Specify the channel used to transmit long signals for the third instance in the daisychain.
Channel short signal 3: Specify the channel used to transmit short signals for the third instance in the daisychain.
Channel Sideways only: Specify the channel used to transmit signals related to sideways movements.
Channel Trend: Specify the channel used to transmit signals related to trend movements.
Here's a overview of the current settings.
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Librarys used:
djmad/Signal_transcoder_library
djmad/MAD_MATH
djmad/Mad_Standardparts
震盪指標
kyle algo v1
Integration of multiple technical indicators: The strategy mainly combines two technical indicators - Keltner Channels and Supertrend, to generate trading signals. It also calculates fifteen exponential moving averages (EMAs) for the high price with different periods ranging from 9 to 51.
Unique combination of indicators: The traditional Supertrend typically uses Average True Range (ATR) to calculate its upper and lower bands. In contrast, this script modifies the approach to use Keltner Channels instead.
Flexible sensitivity adjustment: This strategy provides a "sensitivity" input parameter for users to adjust, which controls the multiplier for the range in the Supertrend calculation. This can make the signals more or less sensitive to price changes, allowing users to tailor the strategy to their own risk tolerance and trading style.
EMA Energy Representation: The code offers a visualization of "EMA Energy", which color-codes the EMA lines based on whether the closing price is above or below the EMA line. This can provide an intuitive understanding of market trends.
Clear visual signals: The strategy generates clear "BUY" and "SELL" signals, represented as labels on the chart. This makes it easy to identify potential entry and exit points in the market.
Customizable: The script provides several user inputs, making it possible to fine-tune the strategy according to different market conditions and individual trading preferences.
EMA (Exponential Moving Average) Principle:
The EMA is a type of moving average that assigns more weight to the most recent data.
It responds more quickly to recent price changes and is used to capture short-term price trends.
Principle of Color Change :
In this trading strategy, the color of the EMA line changes based on whether the closing price is above or below the EMA. If the closing price is above the EMA, the EMA line turns green,
indicating an upward price trend. Conversely, if the closing price is below the EMA, the EMA line turns red,
indicating a downward price trend. These color changes help traders to more intuitively identify price trends
In short, our team provides a lot of practical space
That is your development space
Custom Range Creator + Normalized Oscillators (Obv, Rsi, Mfi) Hello Traders!
Custom Range Creator is a specialized trading tool designed for traders who incorporate range analysis into their trading strategy.
Once you set the desired number of past candles or provide a manual input, the indicator will automatically draw a range for you. This unique feature allows you to customize the range based on the highest and lowest points within a specified number of bars, known as the "Dynamic Range." Furthermore, you have the flexibility to define up to three additional ranges manually using custom inputs. The lines and labels associated with these ranges can be fully customized in terms of style, color, and width to align with your personal preferences.
Dynamic Range Capabilities:
The indicator automatically generates a range by default, identifying the highest and lowest points within the last 200 bars. However, you have the ability to define the number of bars back by adjusting the setting in the menu. Moreover you can define the range based on either the wicks or the bodies of the candles.
The range includes the following components:
☀ Range High: The highest price point within the selected number of bars in the past
☀ Range Low: The lowest price point within the selected number of bars in the past
☀ Range Mid-Point: The calculated middle value between the Range High and Range Low
☀ First Quartile (Q1): The midpoint between the Range Low and the Range Mid-Point, effectively identifying the 25% level within the range
☀ Third Quartile (Q3): The midpoint between the Range Mid-Point and the Range High, identifying the 75% level within the range
By incorporating these critical levels within a price range, our Dynamic Range provides you with a comprehensive view of how the market evolves, enabling you to make more informed trading decisions.
Manual Ranges Capabilities:
In addition to the Dynamic Range, you can manually define up to three more ranges. By specifying your desired high and low price values as inputs, the system automatically draws the range based on your inputs. Once drawn, you can further adjust the range using the bar offset option, which allows you to shift the entire range backward or forward by a specified number of bars.
Each manually defined range includes the following components:
☀ Range High: Your user-defined highest price point
☀ Range Low: Your user-defined lowest price point
☀ Range Mid-Point: The calculated middle value between the Range High and Range Low
☀ First Quartile (Q1): The midpoint between the Range Low and the Range Mid-Point, identifying the 25% level within the range
☀ Third Quartile (Q3): The midpoint between the Range Mid-Point and the Range High, identifying the 75% level within the range
This allows you to precisely define your desired price range and visually represent it on the chart. The customizable manual ranges provide you with a powerful tool for analyzing price dynamics and identifying potential support and resistance levels.
Both Dynamic Range and Manual Ranges Capabilities:
a) Timeframe-Adaptive: This indicator dynamically adjusts to your selected timeframe. Whether you are a day trader or a long-term investor, this tool adapts to meet your needs.
b) Complete Customization: You have the flexibility to customize every aspect of "Custom Range Indicator". You can modify the color, style, and width of each of the five lines to seamlessly integrate them into your chart setup. Choose from various line styles, including solid, dashed, or dotted, and select colors that suit your visual preferences. Additionally, you can customize the color and text of the labels. Additionally, you can utilize the bar offset option to fine-tune the placement of the range within your analysis.
c) Hide Lines and Labels: You have the option to hide each line or label of the range individually, or hide the entire range with labels or without labels. This customization feature allows you to focus on specific aspects of the chart and declutter the visual representation of the ranges when needed.
Normalized Oscillators
Normalization is a process applied in data handling and statistics, and in the context of trading indicators, it can be incredibly useful. Trading indicators such as Volume, the Relative Strength Index (RSI), the Money Flow Index (MFI), and On Balance Volume (OBV), often vary in their range and scale.
Normalization adjusts these values to fit within a specific range, making different indicators directly comparable and aiding in the interpretation of their relationship and impact on price action. This can offer additional insights for traders, making it easier to identify trends, patterns, and potential trading signals across different indicators.
This indicator offers a selection of three oscillators to normalize and Volume Data:
☀Volume: The amount of a particular asset that is traded within a particular period.
☀Relative Strength Index (RSI): A momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in a market.
☀Money Flow Index (MFI): A momentum indicator that uses price and volume data to identify overbought or oversold signals in an asset.
☀On Balance Volume (OBV): A technical trading momentum indicator that uses volume flow to predict changes in price. It does this by cumulatively adding volume on days when the price increases, and subtracting volume on days when the price decreases.
This script also offers aesthetic customizations for the plot, which can enhance readability and visual appeal:
✔"Plot Color": This input lets users select the color of the plotted line on the chart, allowing for personalization and better visual differentiation when multiple indicators are used.
✔"Plot Width": Users can also adjust the thickness of the plotted line, enhancing visibility based on individual preference or screen resolution.
Why is useful the Normalization?
Normalization plays a crucial role in trading as it helps bring together diverse sets of information to support more informed decision-making. For instance, observing the correlation between the price chart and oscillators like On Balance Volume (OBV) near range levels can provide valuable insights.
Consider this example using a daily (1D) Ethereum (ETH) chart:
We observe that the price is at a Range Quarter, making a higher high while the OBV makes a higher low. This scenario presents a significant degree of confluence. The price is at a critical range level and there is a bearish divergence between the OBV and the price. Such confluence often indicates a potential shift in market dynamics, and as observed, the price trends lower subsequently.
Below is the same scenario represented on a linear chart, providing a clearer visualization:
Normalization enables us to make these comparisons more accurately, ultimately leading to more reliable trading signals and better trading outcomes. By adjusting the scale of various indicators to a standard range, traders can directly compare and correlate them to price action, making it easier to spot trends, divergences, and other key market patterns.
Keep attention!
It is important to note that no trading indicator or strategy is foolproof, and there is always a risk of losses in trading. While this indicator may provide useful information for making conclusions, it should not be used as the sole basis for making trading decisions. Traders should always use proper risk management techniques and consider multiple factors when making trading decisions.
@tk · fractal rsi levels█ OVERVIEW
This script is an indicator that helps traders to identify the RSI Levels for multiple fractals wherever the current timeframe is. This script was based on RSI Levels, 20-30 & 70-80 by abdomi indicator, that calculates the Relative Strenght Index levels based on the asset's price and plots it into the chart, creating a "wave" style indicator. The core feature of this indicator is the fractal rays, so trader can visualize each of the oversold and overbought levels of multiple timeframe on the current timeframe that he is on. The indicator will plots multiple rays after the chart bars. indicating where is the oversold and overbought levels for others fractals.
█ MOTIVATION
Since the RSI Levels, 20-30 & 70-80 by abdomi indicator helps a lot to identify the possible price levels when the asset is oversold or overbought, I saw myself drawing multiple horizontal lines on these levels in lower timeframes so, in an uptrend or downtrend, I can try to get a pullback of these trends when the asset reaches oversold or overboght levels. So, I get the idea to make those lines visible in multiple timeframes so I don't need to draw it myself manually anymore.
█ CONCEPT
The trading concept to use this indicator is the concept to make entries on uptrend or downtrend pullbacks when the asset price reaches oversold or overbought levels. But this strategy don't works alone. It needs to be aligned together with others indicators like Exponential Moving Averages, Chart Patterns, Support and Resistance, and so on... Even more confluences that you have, bigger are your chances to increase the probability for a successful trade. So, don't use this indicator alone. Compose a trading strategy and use it to improve your analysis.
█ CUSTOMIZATION
This indicator allows the trader to customize the following settings:
GENERAL
Text size
Changes the font size of the labels to improve accessibility.
Type: string
Options: `tiny`, `small`, `normal`, `large`.
Default: `small`
RSI LEVELS · SETTINGS
Pre-oversold Level
Changes the RSI Level to calculate the "pre-oversold" price level on the chart.
Type: int
Min: 1
Max: 49
Default: 33
Pre-overbought Level
Changes the RSI Level to calculate the "pre-overbought" price level on the chart.
Type: int
Min: 51
Max: 100
Default: 67
Show "Pre-over" Levels
Enables / Disables the pre-oversold and pre-overbought levels on the chart.
Type: bool
Default: true
FRACTAL RAYS · SETTINGS
Length
Changes the base length for the RSI calculation.
Type: int
Min: 1
Default: 14
Source
Changes the base source for the RSI calculation.
Type: float
Default: close
FRACTAL RAYS · STYLE
Ray Color
Changes the color of all fractal rays and its label.
Type: color
Default: color.rgb(187, 74, 207)
Ray Style
Changes the style of all fractal rays.
Type: string
Options: `line.style_solid`, `line.style_dashed`, `line.style_dotted`
Default: line.style_dotted
Ray Length
Changes the length of all fractal rays.
Type: int
Default: 15
FRACTAL RAYS · OVERSOLD
Oversold Level
Changes the base RSI Level for fractal rays calculation.
Type: int
Min: 1
Default: 30
Oversold Prefix
Customizes the fractal ray label with a prefix text.
Type: string
Default: 🚀
Oversold Suffix
Customizes the fractal ray label with a suffix text.
Type: string
Default: (empty)
FRACTAL RAYS · OVERBOUGHT
Overbought Level
Changes the base RSI Level for fractal rays calculation.
Type: int
Min: 1
Default: 70
Overbought Prefix
Customizes the fractal ray label with a prefix text.
Type: string
Default: 🐻
Overbought Suffix
Customizes the fractal ray label with a suffix text.
Type: string
Default: (empty)
FRACTAL RAYS · VISIBILITY RULES
These rules are applied for each of fractal rays so, the traders can choose what timeframes they wants to show the fractal rays for each of it. The rule will be applied as the following condition: `if timeframe != CURRENT_TIMEFRAME and timeframe <= CHOSEN_OPTION`. Actually, the fractal rays are on the chart but, isn't visible because it was applied a transparent color, so it is visually not on the chart to prevent chart's over polution.
LABELS
Show Labels on Price Scale
Shows labels on price scale.
Type: bool
Default: false
Show Price on Fractal Rays
Shows the RSI Level price on each of fractal rays respectively.
Type: bool
Default: false
█ EXTERNAL LIBRARIES
This script uses the `tk` library to calculate RSI Levels. It is a library that contains various functions that helps pine script developers to calculate RSI Levels.
█ FUNCTIONS
The library contains the following functions:
fn_fractalVisibilityRule(string visibilityRule)
Converts the fractal rays timeframe visibility rule label to timestamp int.
Parameters:
visibilityRule: (string) Fractal ray visibility rule label.
Returns: (int) Fractal ray visibility rule timestamp.
fn_requestFractal(string period, expression)
Converts the fractal rays timeframe visibility rule label to timestamp int.
Parameters:
period: (string) Timeframe period for the desired fractal.
expression: (mixed) Security expression that will be applied for calculation.
Returns: (mixed) A result determined by expression.
fn_plotRay(float y, string label, color color, int length)
Plots ray after chart bars for the current time.
Parameters:
period: (string) Timeframe period for the desired fractal.
expression: (mixed) Security expression that will be applied for calculation.
Returns: (void) This function only plots the elements into the chart
fn_plotRsiLevelRay(simple string period, simple int level, color color)
Plots RSI Levels ray after chart bars for the current time.
Parameters:
period: (simple string) Timeframe period.
level: (simple int) Relative Strength Index level.
color: (color) The color of both, ray and label text.
Returns: (void) This function only plots the elements into the chart
Webby's RSI 2.0Webby's RSI (Really Simple Indicator) 2.0 or version 5.150 as Mike himself calls it, builds upon the original Webby RSI by changing the way we measure extension from the 21-day exponential moving average.
Instead using the percentage of the low versus the 21-day exponential moving average, version 2 uses a multiple of the securities 50 day ATR (average true range) to determine the extension.
Version 2.0 also comes with some new additions, such as measuring the high vs 21-day exponential moving average when a security is below it, as well as an ATR extension from the 10-day simple moving average that Mike looks to as a guide to take partials.
adaptive_mfi
█ Description
Money flow an indexed value-based price and volume for the specified input length (lookback period). In summary, a momentum indicator that attempt to measure the flow of money (identify buying/selling pressure) through the asset within a specified period of time. MFI will oscillate between 0 to 100, oftentimes comprehend the analysis with oversold (20) or overbought (80) level, and a divergence that spotted to signaling a further change in trend/direction. As similar to many other indicators that use length (commonly a fixed value) as an input parameter, can be optimized by applied an adaptive filter (Ehlers), to solve the measuring cycle period. In this indicator, the adaptive measure of dominant cycle as an input parameter for the lookback period/n, will be applied to the money flow index.
█ Money Flow Index
mfi = 100 - (100/(1 + money_flow_ratio))
where:
n = int(dominant_cycle)
money_flow_ratio = n positive raw_money_flow / n negative raw_money_flow
raw_money_flow = typical_price * volume
typical_price = hlc3
█ Feature
The indicator will have a specified default parameter of: hp_period = 48; source = ohlc4
Horizontal line indicates positive/negative money flow
MFI Color Scheme: Solid; Normalized
AIR Vortex ADXThis project started as an effort to improve the user interface of the hybrid indicator ADX of Vortex, which is, as per the name, a blend of ADX and Vortex Indicator. Plotting both indicators on the same polarity and normalising the vortex, a better interpretation of the interaction between the two is possible, and trend becomes apparent.
Basically, the Vortex provides the bright punch and ADX the continuation of the trend and momentum.
A range mixer has been added to the vortex, comprising both true and interpercentile ranges (see my previous script for a desrciption of interpercentile range). Users can activate and add amounts of each as they see fit.
Finally, there is an RSI filter, the idea of which is to filter out ranging (flat) markets, where no distinct direction is yet emerging.
TTM Waves ABC ATR AO MOM SQZ//All code picked from many indicators, if you recognize your code, pls comment so people can see your awesome work! I only edited and added them all together so people don't use all their indicator slots. Hope this indicator helps as many people as it can. LFG!!!
AO (Awesome Oscillator) Useful to find potential reversals in trend.
MOM (Momentum) An oscillator that measures momentum.
ATR (Average True Range) Measures the upside and downside from the average price movement occuring. 1 ATR is the general measurement. Many traders use 2ATR to set a stop and 4ATR to set take profit from their entry based on current reading from the ATR.
SQZ ( TTM Squeeze) Measures when bollinger bands have left the interior of the Keltner Channel in an attempt to predict volatility thats about to happen to either side. Green = Move is probably about to happen.
TTM Waves ( Waves A, B, and C) Measure the previous candles to determine chop, positive or negative trends. C measures the previous 30 candles or so, B the last 15 or so, and A measures the last 8 or so. You can use all three or just one. You can sneak in a move if the 2 fastest ones have moved into your preferred area. (Positive or Negative) If the wave is not fully positve or negative then that is probably chop.
-Penguincryptic
RSI Chart LevelsThe RSI Chart Levels shows you in a simple way where Support/Resistance might be. You want to make sure all settings are the same in the RSI that you are using with this overlay to be accurate.
This is also good at spotting divergence in real-time. If price goes over the Higher High but the RSI hasn't gained a new Higher High it is showing divergence, vice versa for Lower Low.
This overlay was created with the idea of RSI Divergence Scanner by zdmre indicator. Add his RSI and match the settings to the chart overlay. The default Zigzag is set to 7 which zdmre settings is different so change to whatever you prefer.
Shoutout to zdmre original work!
RSI with J-Line ***For ease of use, I recommend changing the J Histogram to a line indicator, then it works like the KDJ Stochastic indicator. Full disclosure, I created this script with the help of GPT. This script was inspired by the KDJ Stochastic indicator by Dreadblitz***
The "RSI with J-Line" script is essentially a modified Relative Strength Index (RSI) indicator with an added histogram component. Here's how to use the different components of the script:
RSI Line (Blue): The RSI is a momentum oscillator that measures the speed and change of price movements. It oscillates between zero and 100, and is typically used to identify overbought and oversold conditions in a market. Traditionally, readings over 70 are considered overbought, and readings under 30 are considered oversold. However, these are not strict rules and can vary depending on the market and the overall trend.
RSI Smooth Line (Orange): This is the simple moving average of the RSI. It helps to smooth out the RSI and to identify the overall trend of the momentum. When the RSI line crosses above the RSI Smooth line, it might indicate that the momentum is moving upwards. When the RSI line crosses below the RSI Smooth line, it might indicate that the momentum is moving downwards.
RSI J-Line (Red Histogram): The J-Line is an additional line that's calculated as 3*rsiSmooth - 2*rsi. It's similar to the %J line in the Stochastic indicator and is designed to provide quicker signals than the RSI or RSI Smooth line. When the histogram is above the 0 line, it might indicate bullish momentum. When it's below the 0 line, it might indicate bearish momentum.
Please note that these interpretations are standard for these types of indicators, but actual market behavior can be complex and is influenced by many factors. Indicators should be used as part of a comprehensive trading strategy, not in isolation. Always take into account other market information and indicators before making trading decisions.
Open Interest RSIThis indicator started as an experiment.
It is an RSI which is not based on the price but on the open interest.
It captures the momentum of the open interest in the same way as the RSI of the price.
Rules Open Interest (OI):
If the OI rises and the price rises = Bullish trend.
If the OI falls and the price continues to rise = bearish reversal possible
If the OI falls and the price continues to fall = Bullish reversal possible
If the OI rises and the price falls = Bearish trend
Since the OI RSI captures the momentum of the OI, it is recommended to include the price RSI for the analysis.
In the picture are marked different examples which show extreme situations
Example rose lines:
The price RSI and the OI RSI form a bearish divergence to the price and run parallel = strong bearish signal.
Example orange circles:
Price Falling. The price RSI is in the oversold zone and the OI RSI is above 53 or in the best case in the overbought zone. = Strong bullish signal
Example Blue circle:
The price RSI and the OI RSI are running parallel downwards and the price is also falling = bearish momentum.
As mentioned, this is an experiment. The tests were performed in the 4H chart
Have Fun
Price and Indicator CorrelationFIRST, CHANGE SOURCE OF INDICATOR FROM CLOSE TO WHATEVER INDICATOR YOU ARE COMPARING TO PRICE!!!!
Confirming Indicator Validity: By calculating the correlation coefficient between the price and a specific indicator, you can assess the degree to which the indicator and price move together. If there is a high positive correlation, it suggests that the indicator tends to move in the same direction as the price, increasing confidence in the indicator's validity. On the other hand, a low or negative correlation may indicate a weaker relationship between the indicator and price, signaling caution in relying solely on that indicator for trading decisions.
Identifying Divergence: Divergence occurs when the price and the indicator move in opposite directions. By monitoring the correlation coefficient, you can identify periods of divergence between the price and the selected indicator. Divergence may signal a potential reversal or significant price move, providing an opportunity to enter or exit trades.
Enhancing Trading Strategies: The correlation coefficient can be used to enhance trading strategies by incorporating the relationship between the price and the indicator. For example, if the correlation coefficient consistently shows a strong positive correlation, you may use the indicator as a confirmation tool for price-based trading signals. Conversely, if the correlation is consistently negative, it may indicate an inverse relationship that could be used for contrarian trading strategies.
Indicator Optimization : The correlation coefficient can help traders compare the effectiveness of different indicators. By calculating the correlation coefficient for multiple indicators against the price, you can identify which indicators have a stronger or weaker relationship with price movements. This information can guide the selection and optimization of indicators in your trading strategy.
Example:
RSI MACDDifferent Perspective : By using the RSI as the source for MACD calculation, you are incorporating the RSI's characteristics into the MACD indicator. The RSI measures the speed and change of price movements, while the MACD focuses on the convergence and divergence of moving averages. Combining these two indicators may provide a different perspective on market conditions.
Smoothed MACD : Since the RSI is being used as the source for the MACD calculation, the resulting MACD line (macd1 in the code) may exhibit smoother movements compared to a traditional MACD calculated directly from price data. This smoothing effect could potentially help filter out noise and provide a clearer representation of trend changes.
RSI Confirmation : The RSI is often used to identify overbought and oversold conditions. By incorporating the RSI into the MACD calculation, you can potentially gain additional confirmation when the MACD line crosses above or below zero. For example, if the MACD line crosses above zero and the RSI is in an oversold region, it could provide stronger confirmation for a bullish signal.
Example:
Stochastic Zone Strength Trend [wbburgin](This script was originally invite-only, but I'd vastly prefer contributing to the TradingView community more than anything else, so I am making it public :) I'd much rather share my ideas with you all.)
The Stochastic Zone Strength Trend indicator is a very powerful momentum and trend indicator that 1) identifies trend direction and strength, 2) determines pullbacks and reversals (including oversold and overbought conditions), 3) identifies divergences, and 4) can filter out ranges. I have some examples below on how to use it to its full effectiveness. It is composed of two components: Stochastic Zone Strength and Stochastic Trend Strength.
Stochastic Zone Strength
At its most basic level, the stochastic Zone Strength plots the momentum of the price action of the instrument, and identifies bearish and bullish changes with a high degree of accuracy. Think of the stochastic Zone Strength as a much more robust equivalent of the RSI. Momentum-change thresholds are demonstrated by the "20" and "80" levels on the indicator (see below image).
Stochastic Trend Strength
The stochastic Trend Strength component of the script uses resistance in each candlestick to calculate the trend strength of the instrument. I'll go more into detail about the settings after my description of how to use the indicator, but there are two forms of the stochastic Trend Strength:
Anchored at 50 (directional stochastic Trend Strength):
The directional stochastic Trend Strength can be used similarly to the MACD difference or other histogram-like indicators : a rising plot indicates an upward trend, while a falling plot indicates a downward trend.
Anchored at 0 (nondirectional stochastic Trend Strength):
The nondirectional stochastic Trend Strength can be used similarly to the ADX or other non-directional indicators : a rising plot indicates increasing trend strength, and look at the stochastic Zone Strength component and your instrument to determine if this indicates increasing bullish strength or increasing bearish strength (see photo below):
(In the above photo, a bearish divergence indicated that the high Trend Strength predicted a strong downwards move, which was confirmed shortly after. Later, a bullish move upward by the Zone Strength while the Trend Strength was elevated predicated a strong upwards move, which was also confirmed. Note the period where the Trend Strength never reached above 80, which indicated a ranging period (and thus unprofitable to enter or exit)).
How to Use the Indicator
The above image is a good example on how to use the indicator to determine divergences and possible pivot points (lines and circles, respectively). I recommend using both the stochastic Zone Strength and the stochastic Trend Strength at the same time, as it can give you a robust picture of where momentum is in relation to the price action and its trajectory. Every color is changeable in the settings.
Settings
The Amplitude of the indicator is essentially the high-low lookback for both components.
The Wavelength of the indicator is how stretched-out you want the indicator to be: how many amplitudes do you want the indicator to process in one given bar.
A useful analogy that I use (and that I derived the names from) is from traditional physics. In wave motion, the Amplitude is the up-down sensitivity of the wave, and the Wavelength is the side-side stretch of the wave.
The Smoothing Factor of the settings is simply how smoothed you want the stochastic to be. It's not that important in most circumstances.
Trend Anchor was covered above (see my description of Trend Strength). The "Trend Transform MA Length" is the EMA length of the Trend Strength that you use to transform it into the directional oscillator. Think of the EMA being transformed onto the 50 line and then the Trend Strength being dragged relative to that.
Trend Transform MA Length is the EMA length you want to use for transforming the nondirectional Trend Strength (anchored at 0) into the directional Trend Strength (anchored at 50). I suggest this be the same as the wavelength.
Trend Plot Type can transform the Nondirectional Trend Strength into a line plot so that it doesn't murk up the background.
Finally, the colors are changeable on the bottom.
Explanation of Zone Strength
If you're knowledgeable in Pine Script, I encourage you to look at the code to try to understand the concept, as it's a little complicated. The theory behind my Zone Strength concept is that the wicks in every bar can be used create an index of bullish and bearish resistance, as a wick signifies that the price crossed above a threshold before returning to its origin. This distance metric is unique because most indicators/formulas for calculating relative strength use a displacement metric (such as close - open) instead of measuring how far the price actually moved (up and down) within a candlestick. This is what the Zone Strength concept represents - the hesitation within the bar that is not typically represented in typical momentum indicators.
In the script's code I have step by step explanations of how the formula is calculated and why it is calculated as such. I encourage you to play around with the amplitude and wavelength inputs as they can make the zone strength look very different and perform differently depending on your interests.
Enjoy!
Walker
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
RSI Trend Transform [wbburgin]The RSI Trend Transform indicator is a dual-concept indicator that transforms volume data and price data into two different RSI values, which can then be used together to determine trend strength and momentum. The volume RSI does not use any price data in its calculation - it is purely a transform from nondirectional volume into a directional indicator.
The RSI for all three RSI values (price, volume,combined average) can be plotted as either stochastic or normal. The RSI calculation is adapted for use on volume, which is why the normal ta.rsi() function is not used for the price RSI calculation; both use the same formula for indicator consistency.
How to Use the Indicator
In the examples below, the Price RSI is plotted in yellow and the Volume RSI is plotted in red (length = 200, which is why the indicator is large in these examples). The indicator can be used on any timeframe and any asset, provided volume data is provided by the vendor to TradingView.
Identifying Bullish Trends
A rising volume RSI with a rising price RSI signifies a bullish trend. Example 1:
Example 2:
You can use the combined RSI (the average of the volume RSI and the price RSI) to help with the identification of these trends:
Identifying Bearish Trends
A falling volume RSI with a falling price RSI signifies a bearish trend:
Example 2:
Settings
Source is the source of the price RSI, the volume RSI will by default use volume in its calculations. If you have other indicators on-chart, you could even use the ATR, a volatility indicator, or any nondirectional or directional indicator and transform it into the "price" RSI.
Length is both the length of the RSI and the stochastic.
The next three rows are for each RSI you can plot on the indicator: price RSI, volume RSI, and combined RSI (average of price and volume). The first checkbox plots/removes them from the chart, you can subsequently choose the type of RSI (regular or stochastic), the color of the plot, and the length of the EMA smoothing applied afterward to the plot.
Upper Band and Lower Band refer to the overbought and oversold lines, respectively.
A note about the combined RSI- you will be unable to spot divergences if the combined RSI is the only plot on the indicator, so I encourage you to use the combined RSI as a way to confirm the overall trend if you notice the price RSI and the volume RSI and trending similarly.
Lune Oscillator Premium⬛️ Overview
Lune Oscillator is an advanced and innovative TradingView indicator designed to enhance your market analysis. Rather than merely improving visuals or merging traditional indicators, it introduces a series of unique features, each with its unique value proposition. This script stands out due to its originality, and the significant utility it brings to traders.
🟦 Features
Oscillator features an assortment of sophisticated tools aimed at refining your trading strategies:
🔹 Trend Oscillator: This feature integrates market trend and momentum analysis into one dynamic oscillator. It's designed to facilitate market trend and momentum analysis, and is invaluable to traders as it combines both trend and momentum analysis into one tool. For instance, if a ticker shows signs of slowing momentum after a recent rally, the Trend Oscillator could predict a potential trend reversal. The Trend Oscillator’s sensitivity and velocity settings can be tailored to suit your trading style and strategy. It is developed using a custom formula similar to WaveTrend but optimized for better detection of trend and momentum shifts.
🔹 Market Peak: Market Peak identifies potential market peaks and troughs using a percentile-based system. It's aimed at detecting overextensions in the Trend Oscillator, indicating potential market reversals. Compact and user-friendly, this feature signals potential trade exit points in case of an impending market reversal. Its sensitivity can be adjusted to react to either short-term or long-term market changes. By analyzing the market's average move, it detects overbought or oversold conditions when the percentage gets too extreme.
🔹 Money Pulse: The Money Pulse feature serves as a radar for money inflow or outflow, helping users detect nascent trends and reversals. It enables traders to spot early opportunities and reversals and align their strategies with institutional and large players. For example, a bullish Money Pulse during market consolidation could signal money influx and the beginning of an accumulation phase. The sensitivity of the Market Pulse can be adapted to short-term or long-term changes. This feature employs an improved version of the Money Flow concept.
🔹 Liquidity Pulse: Liquidity Pulse provides a unique perspective of asset liquidity by tracking market inflow and outflow volumes. It assists traders in understanding the market's liquidity sentiment, which is particularly useful for long-term trades and confluence. For instance, a bullish Liquidity Pulse could signal abundant liquidity, potentially driving up the price. The sensitivity setting can be adjusted for short-term or long-term liquidity changes. This feature utilizes an enhanced version of the On-Balance Volume concept.
🔹 Institutional Wave: This feature tracks the cumulative inflow and outflow for a specific ticker, helping traders monitor institutional money flows. It enables the analysis of a ticker's accumulation and distribution, assisting in detecting early trade entries and avoiding dumps. For example, a decrease in volume during consolidation after a price rally could indicate sell-off and potential price drop. The Institutional Wave's sensitivity can be adapted to either short-term or long-term changes. It operates on the Accumulation and Distribution concept.
🔹 Power Wave: The Power Wave evaluates market strength and momentum, indicating market power shifts. It helps traders understand the true power behind a market move. For instance, a decreasing Power Wave during a bullish move could indicate a weakening trend, suggesting a bearish strategy instead. The sensitivity of the Power Wave can be set for short-term or long-term market changes. The Power Wave calculates market strength by evaluating price change volatility.
🔹 Market Pressure: This feature detects shifts in buy and sell pressure, signaling potential turning points. It helps traders understand the power balance in the market. For example, a bullish Market Pressure shift during a short trade could suggest a momentum gain by bulls, indicating a trade exit. The Market Pressure's sensitivity can be adjusted for short-term or long-term changes. This feature uses volume data and moving averages to detect market pressure shifts, filtering out false and volatile signals.
🔹 Oscillator Copilot: Incorporating Smart Bias and Reversal Radar, the Oscillator Copilot helps identify market trends and potential reversals. It searches for confluence within multiple Oscillator features, providing a straightforward assistive tool. For example, a bullish Smart Bias signal during a long trade could suggest staying in the trade longer, while a bearish Reversal Radar signal could indicate the need to exit the trade.
🔹 Divergence Detection: This feature offers a sophisticated detection system for both regular and hidden market divergences, providing additional confluence and highlighting hard-to-detect divergences. For instance, a bullish Regular Divergence could signal a potential trade entry or exit depending on your overall market sentiment and bias. This feature uses fractals to effectively detect divergences in the market based on the Trend Oscillator.
🔹 Color Themes: Personalize your charting experience with various color themes. This feature enhances the visual appeal of your chart, offering easy setup and use. For example, use the “Ice” theme for a unique and colorful experience or the “Dark” theme for a more subdued look. Themes available include Default, Light, Dark, and Ice. This feature modifies the colors of your candles and features based on the selected theme.
These features and tools collectively offer a comprehensive solution for traders to understand and navigate the financial markets. It's important to remember that they are designed to assist in making informed trading decisions and should be used as part of a balanced trading strategy.
🟧 Usage
Lune Oscillator's features are designed to be both standalone tools and components of a larger, integrated trading strategy. It is important to understand each feature and experiment with different configurations to best suit your unique trading needs.
🔸 Example #1: The following demonstrates how the Oscillator Copilot can be an excellent trade assistant.
The Oscillator Copilot leverages multiple Lune Oscillator features, allowing traders to quickly assess overall market sentiment. It uses Smart Bias and Reversal Radar tools to deliver these insights. For instance, at point 1, a bullish Smart Bias (denoted by a green circle) represents a collective bullish sentiment from multiple components of Lune Oscillator, often leading to a price increase. Conversely, at point 2, we identify two bearish reversal signals from the Reversal Radar (highlighted by red triangles). This convergence of bearish signals from multiple components hints at a potential market reversal, often followed by a gradual price decline.
🔸 Example #2: This example shows how the Market Peak feature can aid in detecting potential market tops and bottoms.
Market Peak calculates how overbought or oversold a ticker is using a percentile system, offering insights into potential reversals. At points 1 and 2, we observe bearish Market Peaks suggesting overbought conditions and indicating a possible shift in trend. Subsequent to these peaks, we witness a price drop, mirroring the overbought market conditions. In contrast, at point 3, a bullish Market Peak suggests an oversold market, indicating a potential trend reversal and subsequent price increase.
🔸 Example #3: This is an example of how combining various features such as the Money Pulse, Liquidity Pulse, Institutional Wave, and Market Peak, can help make more informed trades.
Money Pulse and Liquidity Pulse provide insights into the money and liquidity flow in the market, respectively, while the Institutional Wave monitors the cumulative volume shifts and changes. Together with Market Peak, they offer a comprehensive view of the market's state.
At point 1, the positive Liquidity Wave (crossing above 0) suggests a bullish market volume. At point 2, a bullish Market Pressure indicates an increase in buying pressure, reinforcing the bullish sentiment. At point 3, a negative Liquidity Wave (crossing below 0) indicates a bearish sentiment, suggesting that market participants are exiting their positions. The concurrent Market Pressure hints at an increase in selling activity. Taking all these factors into account provides a strong indicator that the market sentiment has turned bearish.
🟥 Conclusion
Lune Oscillator aims to provide a suite of tools that bring unique value to traders. Each feature is designed to offer different, yet complementary, perspectives on the market, allowing users to piece together a more comprehensive understanding of their trading environment.
🔻 Access
You can see the Author's instructions below to get instant access to this indicator & our Premium Suite.
🔻 Disclaimer
Lune Oscillator is a tool for aiding in market analysis and is not a guarantee of future market performance or individual trading success. We strongly recommend that users combine our tool with their trading strategies and do their due diligence before making any trading decisions.
Remember, past performance is not indicative of future results. Please trade responsibly.
Boom Hunter X AlertsThis is a supplementary tool for Boom Hunter X. It has two main purposes. Firstly it handles setting alerts for all 3 Boom Hunter X presets with the convenience of only using one alert. The second purpose is as a chart assistance to display pivots and first pullbacks directly on your chart. By default the script is set to only show the last few bars but this can be modified in the settings up to 20000 to show all bars, this is handy for backtesting.
Signals are only lightly filtered and are designed to get you looking at the charts are the right times.
There are alerts for all 3 presets including:
- Pivots: HL, LH, HH, LL, 1st HL, 1st LH, Reversal up, Reversal down.
- Median crossings
- Kernel Regression crossing (kreg)
- First pullbacks
To use simply tick all the signals you wish to be alerted for in the settings.
Choose the frequency of the alerts in the settings to either on bar close or once per bar.
Click the create alert button, find BHX Alerts and select Any alert() function call.
Z-Score CandlesThe Z-Score Candles indicator is a powerful tool designed to help traders identify overbought and oversold conditions in the market. It utilizes the concept of the Z-score, which measures the deviation of a data point from its mean in terms of standard deviations.
By applying a sigmoid transformation to the Z-score values of the price candles, this indicator provides a visual representation of the market sentiment. The resulting sigmoid candles offer a clearer view of potential trend reversals and market extremes.
Parameters:
Length: The length parameter determines the number of bars used in the calculations. A higher value results in a smoother representation of the Z-scores, while a lower value makes the indicator more responsive to short-term price movements.
Features:
Sigmoid Function: The indicator incorporates a sigmoid function to transform the Z-score values, making them more suitable for visual analysis.
Original Price Candles: The indicator plots the sigmoid candles, representing the open, high, low, and close values of the price action. Green candles indicate a positive sentiment (szopen < szclose), while red candles indicate a negative sentiment (szopen >= szclose).
Oversold and Overbought Areas: The indicator creates horizontal lines at 0.1 and 0.9 on the y-axis, representing oversold and overbought levels, respectively. Additionally, it adds shaded areas to highlight the extreme regions.
Usage: Traders can utilize the Z-Score Candles indicator to identify potential market turning points, reversals, and overextended price levels. When the sigmoid candles reach the oversold or overbought areas, it may suggest a possible trend reversal or the initiation of a new trend.
Note: This indicator should be used in conjunction with other technical analysis tools and indicators to confirm trading decisions.
RSI + ADX + MACDINDICADOR COMBINADO DE RSI + ADX
Aprovecha las ventajas de cada indicador en uno solo.
Teniendo en un solo indicador el momentum de cada tendencia y la fuerza relativa con sus puntos de sobre compra y sobre venta.
También al poder analizar divergencias en el indicador oscilador RSI y poder crear estrategias de entrada con el ADX
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RSI + ADX COMBINED INDICATOR
Take advantage of each indicator in one.
Having in a single indicator the momentum of each trend and the relative strength with its points of overbought and oversold.
Also by being able to analyze divergences in the RSI oscillator indicator and being able to create entry strategies with the ADX
DERECHOS DEL CREADOR PARA: Dvd_trading
Momentum Oscillator, Divergences & Signals [TrendAlpha]The "Momentum, Real Time Divergences & Signals " indicator is designed to provide traders with insights into market momentum, identify potential divergences, and generate buy and sell signals. It offers a comprehensive set of features to assist traders in making informed trading decisions.
The indicator starts by calculating the momentum oscillator based on user-defined parameters.
- Traders can adjust the "Length" parameter to customize the sensitivity of the oscillator. The default value is set to 7, but it can be modified according to individual preferences.
- The "Source" parameter allows traders to select the input source for the oscillator calculation, with the default being the closing price of the asset.
- Traders have the option to display divergence lines by switching on the "Show Lines" parameter. This feature helps identify potential divergences between the oscillator and the price.
The oscillator is calculated using a two-step process. First, a smoothing function is applied to the source data using the "sma" (simple moving average) function. Then, the rate of change is computed over the specified length using the "mom" (momentum) function. Positive oscillator values indicate upward momentum, while negative values indicate downward momentum.
The indicator also generates buy and sell signals by identifying bullish and bearish divergences. A bullish divergence occurs when the oscillator is negative and crosses above zero, while a bearish divergence occurs when the oscillator is positive and crosses below zero. The indicator checks for specific conditions to confirm the divergences, such as comparing the current oscillator value with the previous value and validating the corresponding price action.
When a bullish or bearish divergence is detected, the indicator plots circles to highlight these signals on the chart. A green circle indicates a bullish signal, suggesting a potential buying opportunity, while a red circle indicates a bearish signal, suggesting a potential selling opportunity. In addition to circles, the indicator also displays labels to provide further clarity on the signals. A "Buy" label is shown for bullish signals, and a "Sell" label is shown for bearish signals.
To visually represent the divergences, the indicator plots lines connecting the corresponding points on the oscillator. A green line is drawn for bullish divergences, while a red line is drawn for bearish divergences. Traders can easily observe the divergence patterns and their relationships with the price action, aiding them in making trading decisions.
- The indicator also includes alert conditions for both bullish and bearish divergences. Traders can set up alerts to receive notifications when potential divergences occur, allowing them to take timely action.
MultiTimeFrame Choppiness IndexThe Choppiness Index (CHOP) is an oscillator (range 0-100) designed to determine if the market is choppy (trading sideways, value is going up) or not choppy (trading within a trend, value is going down). In case of trend moves it do not determine trend direction (other indicators are needed to predict trend direction). Some see it as fuel for the upcoming movement.
This implementation shows the graph for 4 different time frames simultaneously. Time frames are selected in settings. The default set: 1h, 4h, 1D, 1W.
For each time frame we can show/hide chart line, pick timeframe, assigned a color and line width.
Troubleshooting:
In case od any problems, please send error details to the author of the script.
MACDh with divergences & impulse system-----------------------------------------------------------------
General Description:
This indicator ( the one on the low panel ) is a classic MACD that also shows regular divergences between its histogram and the prices. This script is special because it can be adjusted to fit several criteria when trading divergences filtering them according to the "height" and "width" of the patterns. The script also includes the "extra feature" Impulse System, which you will hardly find anywhere else in similar classic MACD histogram divergence indicators.
The indicator helps to find trend reversals, and it works on any market, any instrument, any timeframe, and any market condition (except against really strong trends that do not show any other sign of reversion yet).
Please take on consideration that divergences should be taken with caution.
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Definition of classic Bullish and Bearish divergences:
* Bearish divergences occur in uptrends identifying market tops. A classical or regular bearish divergence occurs when prices reach a new high and then pull back, with an oscillator (MACD histogram in this case) dropping below its zero line. Prices stabilize and rally to a higher high, but the oscillator reaches a lower peak than it did on a previous rally.
In the chart above (weekly charts of NKE, Nike, Inc.), in area X (around August 2021), NKE rallied to a new bull market high and MACD-Histogram rallied with it, rising above its previous peak and showing that bulls were extremely strong. In area Y, MACD-H fell below its centerline and at the same time prices punched below the zone between the two moving averages. In area Z, NKE rallied to a new bull market high, but the rally of MACD-H was feeble, reflecting the bulls’ weakness. Its downtick from peak Z completed a bearish divergence, giving a strong sell signal and auguring a nasty bear market.
* Bullish divergences , in the other hand, occur towards the ends of downtrends identifying market bottoms. A classical (also called regular) bullish divergence occurs when prices and an oscillator (MACD histogram in this case) both fall to a new low, rally, with the oscillator rising above its zero line, then both fall again. This time, prices drop to a lower low, but the oscillator traces a higher bottom than during its previous decline.
In the example in the chart above (weekly charts of NKE, Nike, Inc.), you see a bearish divergence that signaled the October 2022 bear market bottom, giving a strong buy signal right near the lows. In area A, NKE (weekly charts) appeared in a free fall. The record low A of MACD-H indicated that bears were extremely strong. In area B, MACD-H rallied above its centerline. Notice the brief rally of prices at that moment. In area C, NKE slid to a new bear market low, but MACD-H traced a much more shallow low. Its uptick completed a bullish divergence, giving a strong buy signal.
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Extra feature: Impulse System
This indicator also includes the “ Impulse System ”. The Impulse System is based on two indicators, a 13-day exponential moving average and the MACD-Histogram, and identifies inflection points where a trend speeds up or slows down. The moving average identifies the trend, while the MACD-Histogram measures momentum. This unique indicator combination is color coded into the price bars or macd histogram bars for easy reference.
Calculation:
Green Price Bar: (13-period EMA > previous 13-period EMA) and
(MACD-Histogram > previous period's MACD-Histogram)
Red Price Bar: (13-period EMA < previous 13-period EMA) and
(MACD-Histogram < previous period's MACD-Histogram)
Histogram bars are colored blue when conditions for a Red Histogram Bar or Green Histogram Bar are not met. The MACD-Histogram is based on MACD(12,26,9).
The Impulse System works more like a censorship system. Green histogram bars show that the bulls are in control of both trend and momentum as both the 13-day EMA and MACD-Histogram are rising (you don't have permission to sell). A red histogram bar indicates that the bears have taken control because the 13-day EMA and MACD Histogram are falling (you don't have permission to buy). A blue histogram bar indicates mixed technical signals, with neither buying nor selling pressure predominating (either both buying or selling are permitted).
The impulse system can be removed from the chart any time.
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Options/adjustments for this indicator:
*Horizontal Distance (width) between two tops/bottoms criteria.
Refers to the horizontal distance between the MACH histogram peaks involved in the divergence
*Height of tops/bottoms criteria (for Histogram).
Refers to the difference/relation/vertical distance between the MACH HISTOGRAM peaks involved in the divergence: 1st Histogram Peak is X times the 2nd.
*Height/Vertical deviation of tops/bottoms criteria (for Price).
Deviation refers to the difference/relation/vertical distance between the PRICE peaks involved in the divergence.
*Plot Regular Bullish Divergences?.
*Plot Regular Bearish Divergences?.
*Delete Previous Cancelled Divergences?.
*This indicator also has the option to show the Impulse System over the MACD histogram bars
