EMA 20/50/100/200 [NT-DIGITALS]This script plots Exponential Moving Averages (EMA) of 20, 50, 100, and 200 periods on the chart. EMAs are commonly used by traders to identify trends and potential reversal points in the market. The EMA smooths out price data to create a single line that follows the overall trend more closely than a simple moving average. By plotting multiple EMAs of different periods, traders can observe the interaction between short-term and long-term trends, aiding in decision-making for entry and exit points.
Exponential Moving Average (EMA) is a type of moving average that gives more weight to recent price data, making it more responsive to current price movements compared to a simple moving average (SMA). The EMA is calculated by applying a smoothing factor to the previous EMA value and adding a fraction of the difference between the current price and the previous EMA value. This weighting mechanism results in EMAs reacting more quickly to price changes, making them popular for traders looking to capture short-term trends in the market.
在腳本中搜尋"Exponential"
Dynamic Trailing (Zeiierman)█ Overview
The Dynamic Trailing (Zeiierman) indicator enhances the traditional SuperTrend approach by providing a more nuanced, adaptable tool for trend analysis and market volatility assessment. It combines techniques to identify dynamic support and resistance levels, trend directions, and market volatility. By integrating the Average True Range (ATR) with a unique multiplier system and smoothing mechanisms, this indicator offers a nuanced approach to trend-following strategies, making it a valuable asset for traders looking to leverage SuperTrend methodologies with additional insights into market dynamics.
█ How It Works
At its core, this indicator builds on the traditional SuperTrend formula by utilizing a modified ATR calculation to define the deviation for dynamic support and resistance levels. These levels are dynamically adjusted based on market volatility. The innovation lies in the addition of the Hull Moving Average (HMA) and the Triple Exponential Moving Average (TEMA) for an enhanced smoothing effect, making the indicator's trend signals more reliable and less prone to market noise. The trend direction is determined by comparing the closing price with the dynamic levels, facilitating clear bullish or bearish signals.
The indicator incorporates a 'Supertrend' function, which uses the dynamic levels and the price’s position relative to them to determine the trend direction. This determination is visualized through color-coded lines and a cloud zone, which expands or contracts based on the ATR and a user-defined width setting, illustrating the market's volatility and trend strength.
ATR Calculation: Utilizes the Average True Range (ATR) to measure market volatility. The ATR is a cornerstone of this indicator, helping to dynamically adjust the support and resistance levels according to the market’s changing conditions.
Supertrend Calculation: Implements a supertrend formula that combines the ATR with user-defined multipliers to plot potential trend directions. This feature helps in identifying whether the market is in an uptrend or downtrend, offering visual cues for potential reversals.
TEMA Calculation: Employs the Triple Exponential Moving Average (TEMA) through a Hull Moving Average (HMA) calculation to smooth out price data. This smoothing process helps in reducing market noise and makes the trend direction clearer.
Dynamic Support and Resistance: Calculates dynamic support and resistance levels by applying a deviation (derived from the ATR and user-defined multiplier) to the smoothed price data. These levels adapt to market conditions, providing areas where price might experience support or resistance.
Trend and Cloud Calculation: Determines the overall trend direction and plots a 'Cloud' zone around it, which adjusts in width based on the ATR and a user-defined cloud width setting. This cloud acts as a visual buffer, indicating the strength and stability of the current trend.
█ How to Use
Trend Identification: The primary function of this indicator is to help traders quickly identify the prevailing market trend. A change in the color of the dynamic trailing line or its position relative to the price can signal potential trend reversals.
Dynamic Support and Resistance: Unlike static levels, the dynamic levels adjust with market conditions, providing current areas where the price might experience support or resistance.
Dynamic Support
Dynamic Resistance
█ Settings
Mult (Multiplier): Adjusts the multiplier for the ATR calculation, affecting the deviation distance for support and resistance levels. Higher values decrease sensitivity and vice versa.
Len (Length): Sets the period for the HMA in the TEMA calculation, influencing the indicator's responsiveness to price changes.
Smoothness: Determines the smoothness of the dynamic support and resistance lines by setting the SMA length. Higher values result in smoother lines.
Cloud Width : Modifies the width of the cloud, providing a visual representation of market volatility.
Color Settings (upcol and dncol): Allows users to customize the colors of the indicator's lines and cloud, aiding in visual trend identification.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Octopus Nest Strategy Hello Fellas,
Hereby, I come up with a popular strategy from YouTube called Octopus Nest Strategy. It is a no repaint, lower timeframe scalping strategy utilizing PSAR, EMA and TTM Squeeze.
The strategy considers these market factors:
PSAR -> Trend
EMA -> Trend
TTM Squeeze -> Momentum and Volatility by incorporating Bollinger Bands and Keltner Channels
Note: As you can see there is a potential improvement by incorporating volume.
What's Different Compared To The Original Strategy?
I added an option which allows users to use the Adaptive PSAR of @loxx, which will hopefully improve results sometimes.
Signals
Enter Long -> source above EMA 100, source crosses above PSAR and TTM Squeeze crosses above 0
Enter Short -> source below EMA 100, source crosses below PSAR and TTM Squeeze crosses below 0
Exit Long and Exit Short are triggered from the risk management. Thus, it will just exit on SL or TP.
Risk Management
"High Low Stop Loss" and "Automatic High Low Take Profit" are used here.
High Low Stop Loss: Utilizes the last high for short and the last low for long to calculate the stop loss level. The last high or low gets multiplied by the user-defined multiplicator and if no recent high or low was found it uses the backup multiplier.
Automatic High Low Take Profit: Utilizes the current stop loss level of "High Low Stop Loss" and gets calculated by the user-defined risk ratio.
Now, follows the bunch of knowledge for the more inexperienced readers.
PSAR: Parabolic Stop And Reverse; Developed by J. Welles Wilders and a classic trend reversal indicator.
The indicator works most effectively in trending markets where large price moves allow traders to capture significant gains. When a security’s price is range-bound, the indicator will constantly be reversing, resulting in multiple low-profit or losing trades.
TTM Squeeze: TTM Squeeze is a volatility and momentum indicator introduced by John Carter of Trade the Markets (now Simpler Trading), which capitalizes on the tendency for price to break out strongly after consolidating in a tight trading range.
The volatility component of the TTM Squeeze indicator measures price compression using Bollinger Bands and Keltner Channels. If the Bollinger Bands are completely enclosed within the Keltner Channels, that indicates a period of very low volatility. This state is known as the squeeze. When the Bollinger Bands expand and move back outside of the Keltner Channel, the squeeze is said to have “fired”: volatility increases and prices are likely to break out of that tight trading range in one direction or the other. The on/off state of the squeeze is shown with small dots on the zero line of the indicator: red dots indicate the squeeze is on, and green dots indicate the squeeze is off.
EMA: Exponential Moving Average; Like a simple moving average, but with exponential weighting of the input data.
Don't forget to check out the settings and keep it up.
Best regards,
simwai
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Credits to:
@loxx
@Bjorgum
@Greeny
[blackcat] L1 Fibonacci MA BandThe true charm of the Fibonacci moving average band lies not only in its predictive ability. Its essence is that it combines the beauty of mathematics with the practicality of market analysis, providing traders with a powerful tool to optimize trading strategies. It's not a simple number game, but a wisdom that sees into the deeper structure of the market.
Next, we will delve into the core technical indicators of the Fibonacci moving average band - WHALES, RESOLINE, STICKLINE functions, and TRENDLINE, as well as their clever applications. The WHALES indicator, with its 12-period exponential moving average, captures short-term market trends; the RESOLINE indicator, through the 120-period EMA, reveals mid-term market movements; the STICKLINE function, distinguishes the relationship between WHALES and RESOLINE with colors, providing clear visual aids; while TRENDLINE, combining price slope with EMA, depicts more detailed market changes for traders.
The integrated application of these indicators has built a multi-dimensional market analysis framework for traders. They help traders examine the market from different angles, judge the market status more accurately, and make wiser decisions in the ever-changing market environment. The Fibonacci moving average band indicator is like a lighthouse, emitting guiding light in the ocean of trader's navigation.
1. `xsl(src, len)` function: This function calculates a value called the linear regression slope. Len defines the length of the linear regression. Then, this function normalizes the difference between the current value of the linear regression and the previous value. The formula is `(lrc - lrprev) / timeframe.multiplier`.
2. `whales`, `resoline`, and `trendline` are Exponential Moving Averages (EMA) calculated in different ways. "whales" is the 13-period closing price EMA, "resoline" is the 144-period closing price EMA, and "trendline" is a more complicated EMA. It is the 50-period EMA calculated by the 21-period closing price slope multiplied by 23 plus the closing price.
3. The `plotcandle` function draws two sets of candlestick charts. One set shows in blue when "whales" is greater than "resoline", and the other set shows in green when "whales" is less than "resoline".
4. The `plot` function draws three lines: "whales", "resoline", and "trendline". "whales" is displayed in orange with a line thickness of 2. "resoline" is displayed in yellow with a line thickness of 1. "trendline" is displayed in red with a line thickness of 3.
5. The last line draws a conditional line. When the closing price is less than the "trendline", the green "trendline" is drawn, otherwise, it is not drawn. This is a logical judgment, the drawing operation is only executed when the condition is met.
[blackcat] L2 Twisted Pair IndicatorOn the grand stage of the financial market, every trader is looking for a partner who can lead them to dance the tango well. The "Twisted Pair" indicator is that partner who dances gracefully in the market fluctuations. It weaves the rhythm of the market with two lines, helping traders to find the rhythm in the market's dance floor.
Imagine when the market is as calm as water, the "Twisted Pair" is like two ribbons tightly intertwined. They almost overlap on the chart, as if whispering: "Now, let's enjoy these quiet dance steps." This is the market consolidation period, the price fluctuation is not significant, traders can relax and slowly savor every detail of the market.
Now, let's describe the market logic of this code in natural language:
- **HJ_1**: This is the foundation of the market dance steps, by calculating the average price and trading volume, setting the tone for the market rhythm.
- **HJ_2** and **HJ_3**: These two lines are the arms of the dance partner, they help traders identify the long-term trend of the market through smoothing.
- **HJ_4**: This is a magnifying glass for market sentiment, it reveals the tension and excitement of the market by calculating the short-term deviation of the price.
- **A7** and **A9**: These two lines are the guide to the dance steps, they separate when the market volatility increases, guiding the traders in the right direction.
- **WATCH**: This is the signal light of the dance, when the two lines overlap, the market is calm; when they separate, the market is active.
The "Twisted Pair" indicator is like a carefully choreographed dance, it allows traders to find their own rhythm in the market dance floor, whether in a calm slow dance or a passionate tango. Remember, the market is always changing, and the "Twisted Pair" is the perfect dance partner that can lead you to dance out brilliant steps.
The script of this "Twisted Pair" uses three different types of moving averages: EMA (Exponential Moving Average), DEMA (Double EMA), and TEMA (Triple EMA). These types can be selected by the user through exchange input.
Here are the main functions of this code:
1. Defined the DEMA and TEMA functions: These two functions are used to calculate the corresponding moving averages. EMA is the exponential moving average, which is a special type of moving average that gives more weight to recent data. In the first paragraph, ema1 is the EMA of "length", and ema2 is the EMA of ema1. DEMA is 2 times of ema1 minus ema2.
2. Let users choose to use EMA, DEMA or TEMA: This part of the code provides an option for users to choose which type of moving average they want to use.
3. Defined an algorithm called "Twisted Pair algorithm": This part of the code defines a complex algorithm to calculate a value called "HJ". This algorithm involves various complex calculations and applications of EMA, DEMA, TEMA.
4. Plotting charts: The following code is used to plot charts on Tradingview. It uses the plot function to draw lines, the plotcandle function to draw candle (K-line) charts, and yellow and red to represent different conditions.
5. Specify colors: The last two lines of code use yellow and red K-line charts to represent the conditions of HJ_7. If the conditions of HJ_7 are met, the color of the K-line chart will change to the corresponding color.
Multi MAs mit LabelA MA (Moving Average) is useful to identify a trend of an assets. The TradingView builtin indicator "Exponential Moving Average" is useful, but limited in some aspects:
Bound to the active timeframe (e.g. h1)
One MA per indicator instance. Makes it confusing when using multiple
In reality to want to have multiple MAs with different types (EMA, SMA), length and timeframes on your chart to identify trading opportunities. As an example you can use the daily EMA12 and EMA21 to identify the trend and EMA200 on the h4 to enter a trade. That's what this script is used for.
The provided script is an extension to the indicator powered by chipmonk (link to profile below). The original script let you add up to 8 EMAs that can be bound to any timeframe and length. The timeframe and length is displayed on the chart next to EMA.
Unfortunately you can only add EMAs (Exponential Moving Averages) and no SMAs (Simple Moving Averages). That's why the script was extended. You can now choose the type (EMA or SMA) for up to 8 MAs.
Links
Profile of chipmonk
Indicator by chipmonk
Envelope and Moving Average**Description:**
- This script creates an indicator that combines an envelope and a simple moving average (MA).
- The envelope is constructed using a specified length, percentage deviation, and source price (close by default).
- The moving average is calculated based on a specified length and source price.
**Inputs:**
1. Envelope:
- Length: Number of periods used for the envelope calculation (default is 20).
- Percentage Deviation: Percentage above and below the envelope basis (default is 10%).
- Source: The price used for the envelope calculation (default is close).
- Exponential MA: Option to use exponential moving average for the envelope basis (default is false).
2. Moving Average:
- Length: Number of periods used for the moving average calculation (default is 20).
- Source: The price used for the moving average calculation (default is close).
**Plotting:**
- The script plots the envelope basis, upper envelope line, and lower envelope line.
- The area between the upper and lower envelope lines is filled with a semi-transparent color for better visualization.
- The moving average is plotted on the chart with a specified color and line width.
**How to Use in a Strategy:**
1. **Envelope Crossovers:**
- Go Long (Buy): When the close price crosses above the upper envelope line.
- Go Short (Sell): When the close price crosses below the lower envelope line.
2. **Moving Average Crossovers:**
- Go Long (Buy): When the close price crosses above the moving average.
- Go Short (Sell): When the close price crosses below the moving average.
3. **Confirmation:**
- Consider additional confirmation signals or filters to improve the robustness of your strategy.
- For example, you might require a certain amount of price momentum or use other technical indicators in conjunction with envelope and moving average signals.
4. **Optimization:**
- Experiment with different parameter values (e.g., envelope length, percentage deviation, moving average length) to optimize the strategy for specific market conditions.
5. **Risk Management:**
- Implement proper risk management techniques, such as setting stop-loss orders and position sizing, to control risk.
Remember to thoroughly backtest any strategy before deploying it in a live trading environment. Additionally, consider the current market conditions and adapt your strategy accordingly.
CARNAC Elasticity IndicatorThe CARNAC Elasticity Indicator (EI) is a technical analysis tool designed for traders and investors using TradingView. It calculates the percentage deviation of the current price from an Exponential Moving Average (EMA) and helps traders identify potential overbought and oversold conditions in a financial instrument.
Key Features:
EMA Length: Users can customize the length of the Exponential Moving Average (EMA) used in the calculations by adjusting the "EMA Length" parameter in the indicator settings.
Percentage Deviation: The indicator calculates the percentage deviation of the current price from the EMA. Positive values indicate prices above the EMA, while negative values indicate prices below the EMA.
Maximum Deviations: The indicator tracks the maximum positive (above EMA) and negative (below EMA) percentage deviations over time, allowing traders to monitor extreme price movements.
Bands: Upper and lower bands are displayed on the indicator chart at 100 and -100, respectively. Additionally, dashed middle bands at 50 and -50 provide reference points for moderate deviations.
Dynamic Color Coding: The indicator uses dynamic color coding to highlight the current percentage deviation. It turns red for values above 50 (indicating potential overbought conditions), green for values below -50 (indicating potential oversold conditions), and purple for values in between.
How to Use:
Overbought Conditions: Watch for the percentage deviation to cross above 50, indicating potential overbought conditions. This might be a signal to consider selling or taking profits.
Oversold Conditions: Look for the percentage deviation to cross below -50, signaling potential oversold conditions. This could be an opportunity to consider buying or entering a long position.
Historical Extremes: Keep an eye on the upper and lower bands (100 and -100) to identify historical extremes in percentage deviation.
The CARNAC Elasticity Indicator can be a valuable tool for traders seeking to identify potential trend reversals and assess the strength of price movements. However, it should be used in conjunction with other technical analysis tools and risk management strategies for comprehensive trading decisions.
[blackcat] L1 Triple EMA ChannelHey, friends! blackcat is here to bring you an interesting and professional article today, talking about the "Triple Exponential Moving Average (TEMA) Channel" - a powerful tool as a trend indicator in volatile markets.
First of all, let's delve into the origins of the TEMA indicator. It was invented by Patrick Mulloy in the mid-90s with the aim to address the lagging issue encountered when using oscillators or Exponential Moving Averages (EMA). The TEMA indicator smooths out short-term fluctuations by utilizing multiple moving averages. What sets it apart is its unique approach of continuously using the EMA's EMA and adjusting for lag in its formula.
In this article, we will primarily focus on the functionality of the TEMA channel as a trend indicator. However, it's worth noting that its effectiveness is diminished in choppy or sideways markets. Instead, the TEMA indicator shines brightest in long-term trend trading. By utilizing TEMA, analysts can easily filter out and disregard periods of volatility, allowing them to focus on the overall trend.
To gain a comprehensive understanding of market trends, it is often recommended to combine TEMA with other oscillators or technical indicators. This combination can help traders and analysts interpret sharp price movements and assess the level of volatility. For example, some analysts suggest combining the Moving Average Convergence Divergence (MACD) with the TEMA channel to evaluate market trends more accurately.
Now, let's explore how the TEMA channel can be used as a tool to showcase interesting features of price support and resistance. In this script, the TEMA channel is represented by three bands: the upper band, the middle band, and the lower band. The upper band is depicted in white, the middle band in yellow, and the lower band in magenta.
So, let's dive deep into the world of the TEMA channel and enjoy the benefits it brings to understanding market trends. Join us on this exciting journey!
ASFX SignalsDescription:
The ASFX Signals Indicator, created by OmegaTools, is an open-source Pine Script™ code designed to provide traders with valuable signals for potential entry and exit points in the market. This script incorporates a combination of Exponential Moving Average (EMA) signals and Volume Weighted Average Price (VWAP) confluence, enhancing the precision of trading decisions.
Key Features:
Threshold Configuration: Users can customize the threshold parameter (thres) to fine-tune signal sensitivity, adapting the indicator to different market conditions.
EMA Length Customization: The script allows traders to adjust the length of the Exponential Moving Average (EMA) with the "EMA Length" input, providing flexibility in capturing various trends.
Show/Hide Options: Users have the flexibility to choose whether to display the EMA line, VWAP confluence, and VWAP upper and lower bands, tailoring the visual representation based on individual preferences.
VWAP Confluence: The indicator integrates VWAP confluence, offering additional confirmation for trading signals. Traders can choose the VWAP resolution and set the deviation parameter for enhanced accuracy.
Signal Filtering: The script intelligently filters signals based on the percentage of the candle that crosses the EMA. Long signals are filtered out if the closing price is above the VWAP or the specified threshold, and short signals are filtered out if the closing price is below the VWAP or the threshold.
Visual Signals: The indicator provides clear visual signals for long and short entries, making it easy for traders to identify potential opportunities. The signals are accompanied by arrows and labels for quick interpretation.
How to Use:
Adjust the threshold, EMA length, and VWAP parameters based on your trading preferences.
Choose whether to display the EMA line, VWAP confluence, and upper/lower bands.
Interpret long and short signals for potential entry and exit points, considering the percentage of the candle that crosses the EMA.
Consider additional confirmation provided by VWAP confluence.
Concepts and Methodology:
The ASFX Signals Indicator combines EMA signals and VWAP confluence to generate actionable trading signals. The script intelligently considers the percentage of the candle that crosses the EMA, providing a nuanced approach to signal confirmation. The EMA offers trend insights, while VWAP confluence enhances signal reliability.
Gradient Value Overlay
This script helps with identifying certain conditions without cluttering too much of the candles.
Some use cases:
It helps identify rsi low and high values.
Directional price movement becoming difficult.
low and high volume.
it uses a percent rank to distinguish low and high values.
It then uses a gradient to match the percentile rank to heatmap type colors.
i.e. dark blue for lowest volume, white for highest volume.
Current options are:
max bars to use.
approximate color - This value will attempt to give an approximation of what the color might be for the candle close.
e.g. If you're on the 1-hour chart, and only 30 minutes have past, it will multiple the current volume by 1.5. As time passes, if no volume comes in eventually, it will multiply current volume by 1.
This approximate value is only set to work with volume-based options.
option - select the type of value you'd like to see the gradient for.
timeframe - get values from a different chart timeframe.
on/off - turns the gradient on or off.
Gradient type - color wheel or heatmap. Currently these are the only two gardient options.
color wheel's colors for low to high values:
color wheel's current colors:
dark blue
purple
pink
red
orange
yellow
green
teal
white
heatmap's current colors from low values to high values:
dark blue
purple
pink
red
orange
yellow
white
reverse gradient - will reverse the colors so dark blue will be the high value and white will be the low value. Some charts based on previous data; you might need to switch the gradient colors.
moving average length while inside timeframe - an exponential moving average is applied to the values. At 1, there is no moving average applied.
Use case for this is to smooth out the gradient.
An example use case - if your currently on the 1-hour chart, you can set the timeframe to 1 minute and then the moving average length inside timeframe to 60. You will then be seeing the color sixty 1-minute bars.
current timeframe moving average length - an exponential moving average applied to current gradient (helps with smoothing gradient).
Smooth, further smooths values.
There is no set rule for what moving average lengths to use. Adjust timeframe, and moving average lengths to get an insight.
Temporary imbalances 2.0 This indicator attempts to calculate potential points of imbalance and equilibrium based on VWAPs and modified moving averages. The idea is to determine if there has been a change in volume and perform the calculation from that point It uses the standard deviation to determine the significant imbalance threshold. Candles with bullish imbalances are highlighted in green, while candles with bearish imbalances are highlighted in red.
"It also features a set of VWAPs and modified moving averages that you can enable or disable."
When you activate the 'Show Anchor VWAP' option, it will add five modified VWAPs.
Practical Significance:
The Anchored VWAP is a volume-weighted average price that serves as a dynamic reference to assess the average price during specific moments of market imbalance.
During a bullish imbalance, the anchor_vwap reflects the VWAP at that moment, emphasizing price behavior during that specific period.
Similarly, in a bearish imbalance, the anchor_vwap provides the associated VWAP for that condition, highlighting price movements during the imbalance phase.
How to Use:
The anchor_vwap can be employed to contextualize the volume-weighted average price during critical moments associated with significant changes in market imbalance.
By analyzing price behavior during and after periods of imbalance, the Anchored VWAP can help better understand market dynamics and identify potential areas of support or resistance.
Show VWAP Percent Imbalance"
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price multiplied by volume, with a focus on conditions where the percentage volume variation surpasses a predefined threshold.
Calculation: Utilizes the simple moving average weighted of the product of the volume-weighted average price and volume only when the percentage volume variation exceeds a specific threshold.
Interpretation: Provides insight into the volume-weighted price trend during conditions where the percentage volume variation exceeds a predefined limit.
The "showDeltaVWAP" is a toggleable setting that you can turn on or off. When activated, it displays special lines on the chart. Let's understand what these lines represent:
Delta Anchor VWAP:
A green line (Delta Anchor VWAP) represents a measure of market volume imbalance.
Delta2 Anchor VWAP:
A red line (Delta2 Anchor VWAP) shows another perspective of volume imbalance.
VWAP Delta Volume:
A light blue line (VWAP Delta Volume) displays a volume-weighted average of price.
VWAP Delta Volume2:
An orange line (VWAP Delta Volume2) shows another view of the volume-weighted average of price.
Delta3 Anchor VWAP:
A light blue line (Delta3 Anchor VWAP) represents a combination of the previous measures.
Delta4 Anchor VWAP:
A purple line (Delta4 Anchor VWAP) is another combination, providing an overall view.
These lines are based on different conditions and calculations related to trading volume. When you activate "showDeltaVWAP," these lines appear on the chart, aiding in better understanding market behavior.
"Show Faster Volatility" is an option that you can enable or disable. When activated (set to true), it displays special lines on the chart called "Faster Volatility VWAP," "Faster Volatility VWAP2," and "Faster Volatility VWAP3." Let's understand what these lines represent:
Faster Volatility VWAP:
A purple line (Faster Volatility VWAP) is a Volume Weighted Average Price (VWAP) that is calculated more quickly based on short-term price reversal patterns.
Faster Volatility VWAP2:
A light gray line (Faster Volatility VWAP2) is another Volume Weighted Average Price (VWAP) that is calculated even more quickly based on even shorter-term price reversal patterns.
Faster Volatility VWAP3:
A purple line (Faster Volatility VWAP3) is another Volume Weighted Average Price (VWAP) calculated rapidly based on even shorter-term price reversal patterns.
These lines are designed to indicate moments of possible exhaustion of volatility in the market, suggesting that there may be a subsequent increase in volatility. When you activate "Show Faster Volatility," these lines are displayed on the chart.
"Show Average VWAPs Imbalance" displays weighted averages of different Volume Weighted Average Prices (VWAPs) in relation to specific market conditions. Here's an explanation of each component:
Standard VWAP:
The blue line represents the standard VWAP, a volume-weighted average of asset prices over a specific period.
VWAP with Added Imbalance (avg_vwap2):
The pink line is a weighted average that adds an imbalance value to the standard VWAP. This component highlights periods of market imbalance.
VWAP with Balance (avg_vwap3):
The lilac line is a weighted average that adds balance based on the imbalance between uptrend and downtrend, reflecting changes in volume. This provides insights into supply and demand dynamics.
Overall Average of VWAPs (avg_vwaptl):
The violet line is a weighted average that incorporates both standard and adjusted VWAPs, offering an overview of market behavior under different considered conditions.
Visual Customization (Show Average VWAPs Imbalance):
Users have the option to show or hide these average lines on the chart, allowing for a clear visualization of market trends.
"Show Min Variation VWAP" is associated with the calculation and display of a smoothed version of the Volume Weighted Average Price (VWAP), taking into account the minimum price variation over a specific period.
"How Imbalance Anchor VWAP Calculated as the smoothed relationship between liquidity difference and maximum VWAP equilibrium" is associated with the calculation and display of a smoothed version of the Imbalance Anchor VWAP. Here is a detailed explanation:
Calculations and Smoothing:
The variable "smoothed_difference" represents the exponential moving average (EMA) of the difference between two variables related to liquidity.
"smoothed_difference2" is the division of "smoothed_difference" by the maximum variation of the VWAP Equilibrium.
"smoothed_difference3" involves additional manipulation of "smoothed_difference" and "vwap_delta3."
"smoothed_difference4" incorporates the previous results, adjusted by the value of the VWAP.
Visual Customization:
The user has the option to enable or disable the display on the chart.
The line is colored in a shade of green.
It provides a smoothed representation of the Imbalance Anchor VWAP.
The line is colored in a shade of blue, and the calculation involves the summation of moving averages (20, 50, 200). Afterward, there is division by 3. Additionally, there is the summation of moving averages (766, 866, 966), divided by 3. The final step is to add these results together and divide by 2. media name is Imbalance Value2
Show VWAP Equilibrium (Max Variation) Calculated as the difference between two VWAPs derived from the highest and lowest price changes
Show Equilibrium VWAP Calculated as the sum of VWAP and (sma200 - sma20)
calculate the difference between the media of 200 to 20
Show Equilibrium VWAP Calculated as the sum of VWAP and (766+866+966)/3 - (sma200 - sma20)
Show Equilibrium VWAP Standard Deviation Calculated as the Exponential Moving Average (EMA) of the Standard Deviation of SMA (sma200 + sma20 + sma8)/3
Show Equilibrium VWAP Delta Calculated as the ratio of the smoothed VWAP Delta Result componentes
Show Standard Deviation Equilibrium VWAP Delta: Calculated as the Standard Deviation between the Average of VWAP Delta Result Components and Their Smoothed Versions
This average attempts to calculate the equilibrium."
vwap_equilibrium:
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price (hl2) multiplied by volume, focusing on periods of volume equilibrium.
Calculation: Utilizes the simple moving average weighted (sma) of the product of the volume-weighted average price and volume only when there is no volume imbalance.
Interpretation: This indicator provides a view of the volume-weighted price trend during moments when the market is in equilibrium, meaning there is no noticeable imbalance in volume conditions. The calculation of VWAP is adjusted to reflect market characteristics during periods of stability.
vwap_percent_condition:
Definition: Represents the Volume Weighted Average Price (VWAP) adjusted by the volume-weighted average of the price multiplied by volume, with a focus on conditions where the percentage volume variation surpasses a predefined threshold.
Calculation: Utilizes the simple moving average weighted of the product of the volume-weighted average price and volume only when the percentage volume variation exceeds a specific threshold.
Interpretation: Provides insight into the volume-weighted price trend during conditions where the percentage volume variation exceeds a predefined limit.
The objective of these two VWAPs is to calculate possible equilibrium points between buyers and sellers.
The indicator works for all timeframes This indicator can be adjusted according to the preferences and characteristics of the specific asset or market. It provides clear visual information and can be used as a complementary tool for technical analysis in trading strategies.
Interesting
Interesting
lookback period 7 , 12, 20,70,200, 500,766,866,966
imbalance threshold 2.4, 3.3 ,4.2
The objective of this indicator is to identify and highlight various points of imbalance and equilibrium.
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.
Kiss Of DeathThis Pine Script code is designed to create a technical indicator on a TradingView chart known as the "Kiss of Death" signal. Here's a description of the script:
The script begins by specifying that it is intended for use with Pine Script version 5 (//@version=5) and sets the indicator's title to "Kiss of Death Signal" with indicator(title="Kiss of Death Signal", overlay=true).
The code calculates a 21-period Exponential Moving Average (EMA) of the closing prices (ema21 = ta.ema(close, 21)). The EMA is a commonly used trend-following indicator.
It also determines the lowest low of the previous two periods (prev_low = ta.lowest(low, 2)). This variable will be used in the signal condition.
The script then defines the signal condition for the "Kiss of Death" pattern. This pattern occurs when:
The current closing price is below the 21-period EMA (close < ema21).
The previous closing price is above or equal to the 21-period EMA (close >= ema21).
The current low is below the lowest low of the previous two periods (low < prev_low).
Next, it uses plot to display the 21-period EMA on the chart (plot(ema21, color=color.blue, title="21 EMA")), using a blue color.
Finally, the script utilizes plotshape to mark the points on the chart where the "Kiss of Death" signal condition is met. It places a red, downward-pointing triangle above the corresponding bars
In summary, this script provides a visual representation of the "Kiss of Death" signal on a TradingView chart, helping traders identify potential bearish reversal points based on the defined conditions. The 21-period EMA is also displayed to provide additional context.
What makes this script unique is that it specifically identifies and visualizes a specific technical pattern known as the "Kiss of Death". The "Kiss of Death" is a bearish reversal pattern that occurs when the current price falls below a specific moving average (in this case, a 21-period Exponential Moving Average or EMA) after previously being above it, and when the current low is below the lowest low of the previous two periods.
This script stands out because it provides a clear and visual representation of this particular pattern on a TradingView chart. By using a red, downward-pointing triangle above the bars, it helps traders quickly identify potential bearish reversal points based on the defined conditions.
The combination of a specific pattern, in this case the "Kiss of Death", along with a visual indicator, sets this script apart and makes it a useful tool for traders looking to identify potential bearish reversal points in their technical analysis.
Bull Bear Power with Optional Normalization FunctionThis indicator is designed to provide traders with insights into market sentiment and potential trend reversals. This indicator enhances the traditional Bull Bear Power (BBP) by adding valuable visualizations and customization options to assist traders in making informed trading decisions.
Indicator Overview:
The NBBP indicator calculates Bull Bear Power, which measures the strength of bullish and bearish forces in the market. It does so by taking the difference between the high and the exponential moving average (EMA) of the closing price for a specified length. This raw BBP is represented on the chart as a line.
Key Features:
-- Zero Line : The NBBP indicator introduces a central reference line at zero. This line serves as a pivotal point for interpreting market sentiment. When the BBP line is above zero, it is colored green, indicating a predominance of bullish sentiment. Conversely, when the BBP line is below zero, it turns red, signaling a prevalence of bearish sentiment. This coloration helps traders quickly identify shifts in market sentiment.
-- OPTIONAL Normalization Function : One of the standout features of the NBBP indicator is its optional normalization function. When activated in the settings menu, this function scales the BBP values from -1 to +1. This means that BBP values are adjusted to fit within a standardized range, making it easier for traders to compare sentiment across different timeframes or assets. Normalization is particularly valuable for identifying extreme sentiment conditions and potential reversals.
-- Moving Average : To provide additional context and smooth out BBP fluctuations, the indicator includes an exponential moving average (EMA). The EMA of BBP is plotted on the chart as a white line. Traders can use this moving average to identify trends and potential trend reversals.
-- Fill Between Lines : The indicator visually enhances the BBP by filling the area between the BBP line and the zero line with a translucent color. This fill helps traders visualize the strength and duration of bullish or bearish sentiment.
Interpretation:
-- BBP Line : Traders can assess the raw BBP line for shifts in sentiment. When the line crosses above zero, it may suggest a shift from bearish to bullish sentiment, potentially indicating a buying opportunity. Conversely, when the line crosses below zero, it may signal a shift from bullish to bearish sentiment, suggesting a potential selling opportunity.
-- Normalization Function : The optional normalization function allows traders to gauge sentiment on a standardized scale. Values above 0 indicate bullish sentiment, while values below 0 suggest bearish sentiment. The closer the values are to their polar ends (-1 or +1), the stronger the sentiment.
-- Moving Average : The EMA of BBP helps identify trends. When BBP crosses above the EMA, it may indicate a strengthening bullish trend, while a crossover below the EMA may suggest a bearish trend.
Customization:
The NBBP indicator provides traders with flexibility through customizable settings. Users can adjust the BBP length, EMA length, and choose to activate or deactivate the normalization function based on their trading preferences and strategy.
Limitations:
The NBBP indicator is most effective when used in conjunction with other technical analysis tools and market context. Traders should consider multiple factors when making trading decisions.
Normalization function results may vary depending on the chosen length and market conditions. If the desired result is not achieved through default settings, try changing timeframes or toggling on/off the normalization function. Users should exercise caution and combine it with other indicators and analysis techniques.
In conclusion, the NBBP indicator is a versatile tool that empowers traders to assess market sentiment, identify potential reversals, and follow trends. Its intuitive visualizations, normalization function, and customizable settings make it a valuable addition to any trader's toolkit.
G Channel with Arrows
1. Channel Calculation:
- The indicator calculates an upper channel ( `UpperBuffer` ) and a lower channel ( `LowerBuffer `) based on the input parameters `ChannelPeriod` .
- The channels are determined by a dynamic calculation that considers the current price ( `src` ) and the previous values of the upper and lower channels (` aBuffer` and `bBuffer` ).
2. Middle Channel:
- The middle channel ( `MiddleBuffer` ) is the average of the upper and lower channels, providing a central reference line.
3. Exponential Moving Average (EMA):
- The script calculates an Exponential Moving Average (`EMAValue`) based on the closing prices with a specified period (`EMAPeriod`).
4. Channel Plots:
- Plots for the upper, lower, and middle channels are displayed on the chart, each with a distinctive color and style.
5. Fill Between Channels:
- The space between the upper and middle channels is filled with a blue color (`#1900ff`), and the space between the lower and middle channels is filled with a red color (`#f70a0a`).
6. EMA Line:
- The EMA line is plotted on the chart in green.
7. Buy and Sell Signals:
- Buy signals ( `buySignal` ) are generated when the EMA crosses above the middle channel.
- Sell signals ( `sellSignal` ) are generated when the EMA crosses below the middle channel.
- Arrows are plotted at the respective locations of buy and sell signals.
8. Breakout Arrows:
- Additional arrows are plotted when the closing price breaks out above the upper channel (green arrow) or below the lower channel (red arrow).
9. User Input Parameters:
- Traders can customize the input parameters such as `ChannelPeriod` and `EMAPeriod` to adjust the sensitivity of the channels and the EMA.
Overall, the indicator provides traders with a visual representation of price channels, an EMA trend reference, and signals for potential buy/sell opportunities and breakout points. It can be used as part of a trading strategy to identify trends, reversals, and potential entry/exit points in the market.
