Price by Volume ColumnsThis indicator allows you to identify how price changes for a given time period are sensitive to the volume. You will identify these changes as bars in the bottom of the chart. You may see the changes in bars for better understanding of price movements, identify trends. Please take trades at your own risk and discretion
Wave Analysis
SRTL, 2EMA & TRAMASRTL - Support Resistance and Trend Line with Double EMA and TRAMA
The SRTL indicator is a powerful tool for technical analysis that seamlessly integrates support and resistance levels, trend lines, and moving average signals. It offers traders a comprehensive view of the market's dynamics, making it a valuable addition to any trading toolkit. Here's a concise summary of its key features and functionalities:
Key Features:
- Dynamic Support and Resistance Levels based on Pivot Points
- Trend Lines based on Recent Pivot Points
- Double Exponential Moving Averages (EMA) with adjustable lengths
- Trend Regularity Adaptive Moving Average (TRAMA) for trend identification
- Buy and Sell signals based on the crossover of EMAs
The indicator is composed of 4 main components:
1. Support and resistance levels: The indicator calculates support and resistance levels based on pivot points and a channel width parameter. These levels can be used to identify potential entry and exit points for trades. The script calculates and plots dynamic support and resistance levels based on pivot points. Users can adjust the period for calculating pivot points, loopback period, and S/R strength to customize the levels' sensitivity.
2. Trend Lines: The script identifies and plots trend lines based on recent pivot points. Users can customize the number of pivot points to consider and the start date to begin plotting the trend lines. The script identifies and plots trend lines based on recent pivot points. By adjusting the number of pivot points to consider and the start date, traders can visualize potential trends and assess the market's overall direction. This feature helps traders understand the prevailing market sentiment and make informed trading decisions.
3. Double Exponential Moving Averages (EMA): The script calculates and plots two Exponential Moving Averages (EMA) with customizable lengths. A crossover of these EMAs can be used as a signal for potential trend changes. The study calculates and displays two Exponential Moving Averages (EMA) with adjustable lengths. The crossover of these EMAs serves as a crucial signal for potential trend changes. When the faster EMA crosses above the slower EMA, a "Buy" signal is generated, and when the faster EMA crosses below the slower EMA, a "Sell" signal is generated.
4. Trend Regularity Adaptive Moving Average (TRAMA): The script calculates and plots the TRAMA, a unique adaptive moving average that helps identify trends and adapt to market conditions. The indicator includes the Trend Regularity Adaptive Moving Average (TRAMA), an adaptive moving average designed to identify trends and adapt to varying market conditions. TRAMA helps traders gauge the strength of a trend and provides valuable insights into potential trend reversals.
5. Signals: The script generates "Buy - Green" and "Sell- Red" signals based on the crossover of the two EMAs and Pivot Point Trend Levels. That Also Customizable.
How to Use:
The SRTL indicator is a powerful tool for technical analysis, offering multiple layers of information for traders. When the price approaches dynamic support or resistance levels, The dynamic support and resistance levels are based on pivot points and adjust to the market's current conditions. The trend lines help visualize potential trends and can be adjusted to show different numbers of pivot points. Additionally, the Double EMA and TRAMA lines provide further insight into the market's momentum and potential reversals. Traders can assess the potential for trend reversals or breakouts. The trend lines help visualize the market's prevailing direction, and the crossover of the Double EMA signals potential entry and exit points.
Traders should use this study as part of a broader trading strategy and combine it with other technical indicators, fundamental analysis, and risk management techniques. Additionally, it's essential to test the indicator thoroughly in a demo or back testing environment before applying it to live trading to ensure its compatibility with individual trading styles and preferences.
Price Deviation Indicator (PDI)Management
The Price Deviation Indicator (PDI) was developed by "DimArt". This indicator allows you to determine the percentage deviation of the price from its average value over a certain period of time. The larger the deviation, the higher the histogram on the indicator chart. The PDI indicator can be useful for identifying a trend reversal in combination with other technical indicators, such as RSI, MACD, and others. For example, if the RSI and MACD indicators show the beginning of a possible trend reversal, using the PDI indicator can confirm this signal by showing the deviation of the current price from the average price. This can help the trader make more accurate trading decisions based on a strong signal.
Description
To calculate the values of the "Price Deviation Indicator" (PDI), we use the following steps:
• Determine the "Period" variable, which specifies the number of bars used to calculate the average price. (Default value is 20)
• Calculate the average price over the specified period using the "sma()" (simple moving average) function.
• Calculate the percentage difference between the current price and the average price using the formula: ((close - avg_price) / avg_price) * 100 .
• Set levels to change the color of the histogram based on price deviation from the average value. "Histogram Color" is a parameter to customize the color of the histogram based on deviation levels. By default, if the deviation is more than 5%, the histogram will be red; if it is less than -5%, it will be green, and for all other deviations, it will be blue. However, this parameter can be changed to other values.
• Draw a histogram of price change relative to the average value. The "Style" parameter allows you to choose the style of the indicator (histogram). By default, the "Histogram" style is set, but you can also select "Line on Close" or "Line on Open".
Application of the Indicator
The PDI indicator is based on the assumption that the price of any asset always tends to its mean value. Using PDI on higher timeframes allows you to determine the overall market trend, whereas on smaller timeframes, situations can be found when the price is in negative territory, and the histogram starts to smoothly transition from negative to positive value. This can be a signal to buy, as the price is likely in an oversold condition and ready to change its trend. On the other hand, if the strength of the price slows down or begins to approach 0, this may indicate that the asset is overbought and starting to turn towards oversold, which is a signal to sell. A beautiful feature of the PDI indicator is its simplicity and conciseness, which allows you to quickly and easily identify a trend change and make trading decisions based on a strong signal.
Conclusion
The "Price Deviation Indicator" (PDI) can be useful in analyzing price movements in the market. It allows you to calculate the relative difference between the current price and the average price, allowing you to identify market saturation and change in trend. The indicator can be used in technical analysis to make decisions about buying or selling assets on the exchange. It can also be useful for traders of different levels of experience, as its settings can be adapted depending on the user's needs and requirements. Overall, this indicator is one of the tools that can help in analyzing price and volumes to determine possible investment prospects in assets.
Zigzag Trend-based Color [SteinG]Zigzag Indicator with Trend-based Color Coding and Info Table
This indicator is forked from Trendoscope's Recursive Zigzag
The Zigzag Indicator with Trend-based Color Coding and Info Table is a powerful tool for technical analysis, designed to help you identify significant price swings, visualize trends, and analyze pivot points with ease. This advanced indicator offers enhanced functionalities and improved visual representation.
The primary purpose of the Zigzag Indicator is to identify and highlight important price reversals, commonly referred to as pivot points, in a given chart. These pivot points are essential in recognizing trend changes and potential market turning points. With the Zigzag Indicator, you can quickly identify these pivotal moments and gain valuable insights into market dynamics.
One of the standout features of this indicator is the color coding applied to the Zigzag line, which intuitively reflects the trend associated with each pivot point. The color scheme is as follows:
- Green : Indicates an upward trend, representing a bullish movement in the price.
- Lime : Represents a retracement during an upward trend, indicating a temporary pullback before the uptrend resumes.
- Red : Signifies a downward trend, indicating a bearish movement in the price.
- Orange : Represents a retracement during a downward trend, indicating a temporary bounce before the downtrend resumes.
This color coding allows you to easily visualize the prevailing market sentiment and make more informed trading decisions accordingly.
In addition to the visual representation, the Zigzag Indicator also includes an informative table that provides essential details about each pivot point. The table presents the following information for each pivot point:
1. Pivot Value : The price level at which the pivot point occurs.
2. Direction : Indicates whether the pivot point represents an upward or downward trend.
3. Fibo Ratios : Displays the Fibonacci retracement levels between two consecutive pivot points, offering insights into potential support and resistance levels.
The inclusion of this comprehensive info table enables you to analyze pivot points more effectively, understand the underlying price dynamics, and identify key trading opportunities.
MACD Fake Filter [RH]Introducing a new indicator for the TradingView community based on the MACD indicator! This innovative tool goes beyond traditional MACD signals by analyzing positive and negative waves to determine the average height of the waves to filter false cross-over or cross-under signals during the sideways market.
There are two types of waves created by the MACD line, one is a positive wave above the "zero" line and another is a negative wave below "zero" line. Each wave has peaks. This indicator will find the average height of the positive waves' peaks and plot as a green line(by default). Vice-versa it will also find the average height of the negative waves' peaks and plot as a red line(by default).
Example :
This indicator will show labels when the MACD line crosses-under the MACD signal line above the average height of the positive waves.
Vice-versa, the indicator will show labels when the MACD line crosses-above the MACD signal line below the average height of the negative waves.
Example:
Alerts are also available for these types of cross-over and cross-under.
Enhanced WaveTrend OscillatorThe Enhanced WaveTrend Oscillator is a modified version of the original WaveTrend. The WaveTrend indicator is a popular technical analysis tool used to identify overbought and oversold conditions in the market and generate trading signals. The enhanced version addresses certain limitations of the original indicator and introduces additional features for improved analysis and comparison across assets.
WaveTrend:
The original WaveTrend indicator calculates two lines based on exponential moving averages and their relationship to the asset's price. The first line measures the distance between the asset's price and its EMA, while the second line smooths the first line over a specific period. The result is divided by 0.015 multiplied by the smoothed difference ('d' for reference). The indicator aims to identify overbought and oversold conditions by analyzing the relationship between the two lines.
In the original formula, the rudimentary estimation factor 0.015 times 'd' fails to accomodate for approximately a quarter of the data, preventing the indicator from reaching the traditional stationary levels of +-100. This limitation renders the indicator quantitatively biased, as it relies on the user's subjective adjustment of the levels. The enhanced version replaces this factor with the standard deviation of the asset's price, resulting in improved estimation accuracy and provides a more dynamic and robust outcome, we thereafter multiply the result by 100 to achieve a more traditional oscillation.
Enhancements and Features:
The enhanced version of the WaveTrend indicator addresses several limitations of the original indicator and introduces additional features-
Dynamic Estimation: The original indicator uses an arbitrary estimation factor, while the enhanced version replaces it with the standard deviation of the asset's price. This modification provides a more dynamic and accurate estimation, adapting to the specific price characteristics of each asset.
Stationary Support and Resistance Levels: The enhanced version provides stationary key support and resistance levels that range from -150 to 150. These levels are determined based on the analysis of the indicator's data and encompass more than 95% of the indicator's values. These levels offer important reference points for traders to identify potential price reversals or significant price movements.
Comparison Across Assets: The enhanced version allows for better comparison and analysis across different assets. By incorporating the standard deviation of the asset's price, the indicator provides a more consistent and comparable interpretation of the market conditions across multiple assets.
Upon closer inspection of the modification in the enhanced version, we can observe that the resulting indicator is a smoothed variation of the Z-Score!
f_ewave(src, chlen, avglen) =>
basis = ta.ema(src, chlen)
dev = ta.stdev(src, chlen)
wave = (src - basis) / dev * 100
ta.ema(wave, avglen)
Z-Score Analysis:
The Z-Score is a statistical measurement that quantifies how far a particular data point deviates from the mean in terms of standard deviations. In the enhanced version, the calculation involves determining the basis (mean) and deviation (standard deviation) of the asset's price to calculate its Z-Score, thereafter applying a smoothing technique to generate the final WaveTrend value.
Utility:
The 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗪𝗧 indicator offers traders and investors valuable insights into overbought and oversold conditions in the market. By analyzing the indicator's values and referencing the stationary support and resistance levels, traders can identify potential trend reversals, evaluate market strength, and make better informed analysis.
It is important to note that this indicator should be used in conjunction with other technical analysis tools and indicators to confirm trading signals and validate market dynamics.
Credit:
The 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗪𝗧 indicator is a modification of the original WaveTrend Oscillator developed by @LazyBear on TradingView.
Example Charts:
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.
Moving Average CandlesInspired by Ricardo Santos's " Multiple Moving Average Candle System V0" ()
This script plots 6 moving averages using the plotcandle function rather than the normal plot function. Result is a stylish indicator that shows moving average crossovers in a more visual way. Moving average type options available are , or Simple, Exponential, Hull, Relative, Volume Weighted, and Arnaud Legoux Moving Averages, Linear Regression Curve, and Median. Lengths for each can be set in settings along with selection specific parameters. Good for plotting/visualizing potential entry/exit points based on your preferred moving averages crossing over, or just as some eye candy.
PivotLibrary "Pivot"
This library helps you store and manage pivots.
bias(isHigh, isHigher, prevWasHigher)
Helper function to calculate bias.
Parameters:
isHigh (bool) : (bool) Wether the pivot is a pivot high or not.
isHigher (bool) : (bool) Wether the pivot is a higher pivot or not.
@return (bool) The bias (true = bullish, false = bearish, na = neutral).
prevWasHigher (bool)
biasToString(bias)
Parameters:
bias (bool)
biasToColor(bias, theme)
Parameters:
bias (bool)
theme (Theme)
nameString(isHigh, isHigher)
Parameters:
isHigh (bool)
isHigher (bool)
abbrString(isHigh, isHigher)
Parameters:
isHigh (bool)
isHigher (bool)
tooltipString(y, isHigh, isHigher, bias, theme)
Parameters:
y (float)
isHigh (bool)
isHigher (bool)
bias (bool)
theme (Theme)
createLabel(x, y, isHigh, isHigher, prevWasHigher, settings)
Parameters:
x (int)
y (float)
isHigh (bool)
isHigher (bool)
prevWasHigher (bool)
settings (Settings)
new(x, y, isHigh, isHigher, settings)
Parameters:
x (int)
y (float)
isHigh (bool)
isHigher (bool)
settings (Settings)
newArray(size, initialValue)
Parameters:
size (int)
initialValue (Pivot)
method getFirst(this)
Namespace types: Pivot
Parameters:
this (Pivot )
method getLast(this, isHigh)
Namespace types: Pivot
Parameters:
this (Pivot )
isHigh (bool)
method getLastHigh(this)
Namespace types: Pivot
Parameters:
this (Pivot )
method getLastLow(this)
Namespace types: Pivot
Parameters:
this (Pivot )
method getPrev(this, numBack, isHigh)
Namespace types: Pivot
Parameters:
this (Pivot )
numBack (int)
isHigh (bool)
method getPrevHigh(this, numBack)
Namespace types: Pivot
Parameters:
this (Pivot )
numBack (int)
method getPrevLow(this, numBack)
Namespace types: Pivot
Parameters:
this (Pivot )
numBack (int)
method getText(this)
Namespace types: Pivot
Parameters:
this (Pivot)
method setX(this, value)
Namespace types: Pivot
Parameters:
this (Pivot)
value (int)
method setY(this, value)
Namespace types: Pivot
Parameters:
this (Pivot)
value (float)
method setXY(this, x, y)
Namespace types: Pivot
Parameters:
this (Pivot)
x (int)
y (float)
method setBias(this, value)
Namespace types: Pivot
Parameters:
this (Pivot)
value (int)
method setColor(this, value)
Namespace types: Pivot
Parameters:
this (Pivot)
value (color)
method setText(this, value)
Namespace types: Pivot
Parameters:
this (Pivot)
value (string)
method add(this, pivot)
Namespace types: Pivot
Parameters:
this (Pivot )
pivot (Pivot)
method updateLast(this, y, settings)
Namespace types: Pivot
Parameters:
this (Pivot )
y (float)
settings (Settings)
method update(this, y, isHigh, settings)
Namespace types: Pivot
Parameters:
this (Pivot )
y (float)
isHigh (bool)
settings (Settings)
Pivot
Stores Pivot data.
Fields:
x (series int)
y (series float)
isHigh (series bool)
isHigher (series bool)
bias (series bool)
lb (series label)
Theme
Attributes for customizable look and feel.
Fields:
size (series string)
colorDefault (series color)
colorNeutral (series color)
colorBullish (series color)
colorBearish (series color)
colored (series bool)
showTooltips (series bool)
showTooltipName (series bool)
showTooltipValue (series bool)
showTooltipBias (series bool)
Settings
All settings for the pivot.
Fields:
theme (Theme)
BBO-ALPHA-PHANTOMHello friends, this is the second time I am publishing this script, hopefully the description will be sufficient and you can use it reliably.
Script Description:
The script consists of several indicators and generates buy and sell signals based on their calculations. Here's a breakdown of the functions and indicators used in the script:
Moving Average Convergence Divergence (MACD):
Fast Length: The number of periods used for calculating the fast moving average.
Slow Length: The number of periods used for calculating the slow moving average.
Source: The price source used for calculations (default is the closing price).
Signal Smoothing: The number of periods used for smoothing the signal line.
Oscillator MA Type: The type of moving average used for the oscillator line (default is Exponential Moving Average).
Signal Line MA Type: The type of moving average used for the signal line (default is Exponential Moving Average).
Benefit: MACD is a trend-following momentum indicator that helps identify potential trend reversals, bullish or bearish market conditions, and generate buy and sell signals based on the crossovers of the oscillator and signal lines.
Relative Strength Index (RSI):
RSI Length: The number of periods used for calculating RSI.
RSI Source: The price source used for RSI calculations (default is (high + low + close) / 3).
MA Type: The type of moving average used for smoothing RSI values (default is Simple Moving Average).
MA Length: The number of periods used for smoothing RSI values.
Benefit: RSI is a momentum oscillator that measures the speed and change of price movements. It helps identify overbought and oversold conditions, potential trend reversals, and generate buy and sell signals based on the crossovers of RSI and its moving average.
Money Flow Index (MFI):
MFI Length: The number of periods used for calculating MFI.
Source: The price source used for MFI calculations (default is (high + low + close) / 3).
Benefit: MFI is a momentum indicator that uses both price and volume data to measure buying and selling pressure. It helps identify overbought and oversold conditions and potential trend reversals.
Directional Movement Index (DMI):
Signal Length: The number of periods used for smoothing the ADX line.
Length: The number of periods used for calculating DMI.
Benefit: DMI consists of three lines: ADX, +DI (Plus Directional Indicator), and -DI (Minus Directional Indicator). ADX measures the strength of a trend, while +DI and -DI indicate the direction of the trend. DMI helps identify trend strength, trend direction, and potential trend reversals.
Stochastic Oscillator:
SmoothK: The number of periods used for smoothing %K line.
SmoothD: The number of periods used for smoothing %D line.
Length RSI: The number of periods used for calculating RSI within Stochastic.
Length Stoch: The number of periods used for calculating Stochastic.
Benefit: Stochastic Oscillator is a momentum indicator that compares the closing price of an asset to its price range over a specific period. It helps identify overbought and oversold conditions and potential trend reversals.
Moving Averages (MA):
MA50: Simple Moving Average with a length of 50 periods.
MA200: Simple Moving Average with a length of 200 periods.
Benefit: Moving averages are commonly used to
Advantages of the script compared to common indicators:
Comprehensive analysis: The script combines several indicators such as MACD, RSI, MFI, DMI, Stochastic Oscillator and Moving Averages. It thus provides a broader and more comprehensive view of the market and its development.
Synergy of indicators: Using multiple indicators increases the reliability and confirmation of signals. Combining different indicators can provide potentially stronger and more accurate signals of a trend change.
Identifying Oversold and Overbought Levels: RSI, MFI and Stochastic Oscillator are used to identify oversold and overbought levels in the market. This can help uncover opportunities to buy or sell in line with these levels.
Identifying trends and their strength: DMI and Moving Averages help identify trends in the market and provide information about their strength. This can help traders in deciding the appropriate time to enter and exit the market.
Early signal generation: The script generates signals based on a combination of various indicators, which can help traders identify potential trading opportunities at an early stage.
The main thing for me is that it helps me from overtrading, I only trade when I get an alert or see it on the chart. I recommend
I find it best to trade in the 1h and 2h time frame. The shorter ones like 15min and 30min are perfect for me to get out of the position.
It is important to note that no indicator guarantees 100% accuracy in generating signals and trading on financial
*Zig Zag Price, % Change w/RSI*With immense help from ©SimpleCryptoLife who reimagined this script for me, and to ©mmoiwgg and ©ocaptain who's ideas led to this updated version 5.
This indicator is fairly straight-forward and visually appealing because you get a running zig zag price, price % change with an added bonus - RSI. However you won't find zig zag lines but the script reacts the same by changing the inputs. The higher the value the less data points you'll see on the screen.
The main objective of this indicator is to be able to spot high and low prices easily with the price % change between the same 2 data sets. Additionally and arguably more importantly, with the RSI values associated with the high and low prices, you can spot divergences easily - meaning the price is making a higher high while conversely the RSI value at the next pop (around the same price as previous high) is lower which can mean that momentum has exhausted for the time being and a reversal could be imminent.
This script is meant only as a tool to try to enrich your trading journey and I hope it helps you become a more consistent and profitable trader. If you find it invaluable drop a like and comment. Good luck!
ChanLun ProChanLun, also known as Entanglement Theory or "缠论", is a highly regarded technical analysis methodology that originated in China. Since its introduction in 2006, ChanLun has rapidly gained significant attention and a strong following within the Chinese trader community due to its exceptional ability to navigate complex market dynamics.
ChanLun places great emphasis on market structure, price action, momentum, and the intricate interplay between market forces. It recognizes that the market operates in cyclical patterns and aims to capture the underlying structure and rhythm of price movements. Through meticulous analysis of the intricate relationships between price and time, it provides traders with a unique perspective on market trends, potential reversals, and critical turning points.
This indicator offers a meticulous and comprehensive implementation of the ChanLun theory. It facilitates in-depth analysis and visual representation of all essential components, encompassing “Candlestick Conversion”, "Candlestick Standardization", "Fractal", "Stroke", "Segment", "Pivot", and "Buying/Selling Point".
🟠 Algorithm
🔵 Step 1: Candlestick Conversion
In ChanLun, candlestick analysis focuses less on the opening/closing prices and wicks, but rather emphasizes the price range at which the stock price has reached. As a result, the initial step in ChanLun involves converting each candlestick to contain solely the high and low prices, disregarding other elements.
🔵 Step 2: Candlestick Standardization
In the second step, the converted candlesticks are standardized to ensure strict directional consistency and eliminate the presence of inner bars or outer bars. For any adjacent two candlesticks A and B where one’s price range completely encompasses another, A and B are merged into a new candlestick C. If A is trending up from its previous candle, then C will be defined such that high(C) = max(high(A), high(B)) and low(C) = max(low(A), low(B)). If A is trending down from its previous candle, then C will be defined such that high(C) = min(high(A), high(B)) and low(C) = min(low(A), low(B)).
After completing these steps, when considering any adjacent candlesticks A and B, we can always observe either of the following conditions:
1. high(A) > high(B) and low(A) > low(B)
2. high(A) < high(B) and low(A) < low(B)
The chart below illustrates how the candlesticks would appear after this step.
🔵 Step 3: Fractals
A "Fractal" refers to the pattern formed by three consecutive "standardized" candlesticks, where the middle candlestick shows a clear higher or lower value compared to the surrounding candlesticks. When considering three adjacent candlesticks, A, B, and C, we have either of the two conditions:
1. high(B) > high(A) and high(B) > high(C) and low(B) > low(A) and low(B) > low(C)
2. high(B) < low(A) and high(B) < low(C) and low(B) < low(A) and low(B) < low(C)
For #1 above, we refer to the combination of A, B, and C as a “Top Fractal”, whereas for #2 we designate it as a “Bottom Fractal”.
The chart below illustrates all the fractals, with the red triangles indicating the Top Fractals and the green triangles indicating the Bottom Fractals.
🔵 Step 4: Strokes
A “Stroke” is a line connecting a top fractal and a bottom fractal, subject to the following rules:
1. There must be at least one "free" candlestick positioned between these fractals, meaning it is not part of either the top or bottom fractal. This guarantees that a stroke encompasses a minimum range of five candlesticks from beginning to end.
2. The top fractal must have a higher price compared to the bottom fractal.
3. The endpoint fractals should represent the highest or lowest point throughout the entire span of the stroke. (There is an option within this indicator to enable or disable this rule.)
Strokes enable traders to identify and visualize significant price swings or trends while effectively filtering out minor fluctuations.
🔵 Step 5: Segments
A "Segment" is a higher-level line that connects the starting and ending points of at least three consecutive strokes, reflecting the current trend of the market structure. It continues to extend as new strokes emerge, until there is a break in the market structure. The break occurs when an uptrend forms a lower high and lower low, or when a downtrend forms a higher high and higher low. It's worth noting that during trading ranges, it is common for strokes to exhibit a higher high and lower low or a higher low and lower high pattern (similar to inner bars and outer bars). In such cases, the strokes will be merged in a similar manner as described earlier for candlesticks, until there is a distinct break in the market structure. Segments provide a relatively stable depiction of the market trend in a higher timeframe, as opposed to strokes.
It is important to note that the algorithm used to calculate segments from strokes can be recursively applied to the generated segments again, forming higher-level segments that represent the market trend on a even larger timeframe.
🔵 Step 6: Pivots
In ChanLun, the term "Pivot" does not indicate a price reversal point. Instead, it represents a trading range where the price of a security tends to fluctuate. Within a given "Segment," the pivot is determined by the overlap of two consecutive strokes moving in the opposite direction of the segment. When two downtrend strokes A and B form a pivot P within an uptrend segment S, the upper and lower bounds of the pivot are defined as follows:
1. upper(P) = min(high(A), high(B)
2. lower(P) = max(low(A), low(B))
The pivot range is typically where consolidation occurs and where there is a high trading volume.
If a future stroke, moving in the opposite direction of the current segment, overlaps with the upper and lower bounds of the pivot, it is merged into the existing pivot and extends the pivot along the x-axis. A new pivot is formed when two consecutive strokes moving in the opposite direction of the current segment, intersect with each other without overlapping the previous pivot.
Likewise, pivots can also be recursively identified within the higher-level segments. The blue boxes below represent the "Segment Pivots" that are identified within the context of higher-level segments.
🔵 Step 7: Buying/Selling Points
There are three types of buying/selling points defined in ChanLun.
1. Type 1 Buying and Selling Points: Also known as trend reversal points. These points are where the old segments terminate and new segments are generated.
2. Type 2 Buying and Selling Points: Also known as trend continuation points. These points occur while the price is in the midst of a trend and signify the continuation of the trend. In an uptrend, the Type 2 buying point is the rebound point after the price retraces to a previous low or support level, indicating that the price may continue to rise. In a downtrend, the Type 2 selling point is the pullback point after the price rallies to a previous high or resistance level, indicating that the price may continue to decline.
3. Type 3 Buying and Selling Points: These points indicate the retests of breakouts from pivot ranges. The presence of these retest points suggests that the price has the potential to continue its upward/downward movement above/below the pivot levels.
A discerning reader may notice that these buying/selling points are lagging indicators. For example, by the time a new segment is confirmed, multiple candlesticks have already occurred since the type 1 buying/selling point of that segment.
Indeed, it is true that the buying/selling points lag behind the actual market movements. However, ChanLun addresses this issue through the utilization of multi-timeframe analysis. By examining the confirmed buying/selling points in a lower timeframe, one can gather additional confidence in determining the overall trend of the higher timeframe.
🔵 Step 8: Divergence
Another core technique in ChanLun is the application of divergence to anticipate the emergence of type 1 buying/selling points. While MACD is the most commonly employed indicator for detecting divergence, other indicators such as RSI can also be utilized for this purpose.
🟠 Summary
In essence, ChanLun is a robust approach to technical analysis that integrates the careful examination and interpretation of price charts, the application of technical indicators and quantitative tools, and a keen attention to multiple timeframes. Its objective is to identify prevailing market trends and uncover potential trading prospects. What sets ChanLun apart is its holistic methodology, which blends both qualitative and quantitative analysis to facilitate informed and successful trading decisions.
🟠 NOTE
The freely available "ChanLun | AlgoTrader" script, published by the same account, incorporates only a limited set of fundamental concepts from ChanLun.
In contrast, this script is a premium invite-only version that represents a comprehensive implementation of the complete ChanLun methodology, specifically tailored for more experienced and professional traders.
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该指标严格按照缠论原文实现了包括“K线标准化”、“分型”、“笔”、“线段”、“中枢”和“买卖点”在内的所有关键元素。它旨在为缠友们提供一个准确可靠的缠论实现，以便快速而精准地分析市场，从而获得更优秀的交易业绩。
该指标的主要特点如下：
1. 实时标记所有缠论元素：该指标具备实时识别和标记分型、笔、线段、中枢和买卖点的功能，提供清晰的信号和准确的趋势判断。
2. 多种笔段算法选择：提供三种不同的笔算法（“老笔”、“新笔”和“4K”）以及两种线段算法（“特征序列”和“1+1终结”），满足不同交易者个性化需求，可根据偏好和策略选择最适合的算法。
3. 三级别联立：指标同步计算并显示笔、线段和递归高级段，提供更全面的市场动态分析。
4. 自定义颜色：用户可以根据个人喜好和需求自定义指标的颜色方案，与图表风格和视觉需求完美匹配。
5. 完美实现K线回放功能：指标充分利用了K线回放功能，让交易者能够回顾和分析历史市场数据，提高对市场趋势的研究和理解，增强市场洞察力和决策能力。
Monday_Weekly_Range/ErkOzi/Deviation Level/V1"Hello, first of all, I believe that the most important levels to look at are the weekly Fibonacci levels. I have planned an indicator that automatically calculates this. It models a range based on the weekly opening, high, and low prices, which is well-detailed and clear in my scans. I hope it will be beneficial for everyone.
***The logic of the Monday_Weekly_Range indicator is to analyze the weekly price movement based on the trading range formed on Mondays. Here are the detailed logic, calculation, strategy, and components of the indicator:
***Calculation of Monday Range:
The indicator calculates the highest (mondayHigh) and lowest (mondayLow) price levels formed on Mondays.
If the current bar corresponds to Monday, the values of the Monday range are updated. Otherwise, the values are assigned as "na" (undefined).
***Calculation of Monday Range Midpoint:
The midpoint of the Monday range (mondayMidRange) is calculated using the highest and lowest price levels of the Monday range.
***Fibonacci Levels:
// Calculate Fibonacci levels
fib272 = nextMondayHigh + 0.272 * (nextMondayHigh - nextMondayLow)
fib414 = nextMondayHigh + 0.414 * (nextMondayHigh - nextMondayLow)
fib500 = nextMondayHigh + 0.5 * (nextMondayHigh - nextMondayLow)
fib618 = nextMondayHigh + 0.618 * (nextMondayHigh - nextMondayLow)
fibNegative272 = nextMondayLow - 0.272 * (nextMondayHigh - nextMondayLow)
fibNegative414 = nextMondayLow - 0.414 * (nextMondayHigh - nextMondayLow)
fibNegative500 = nextMondayLow - 0.5 * (nextMondayHigh - nextMondayLow)
fibNegative618 = nextMondayLow - 0.618 * (nextMondayHigh - nextMondayLow)
fibNegative1 = nextMondayLow - 1 * (nextMondayHigh - nextMondayLow)
fib2 = nextMondayHigh + 1 * (nextMondayHigh - nextMondayLow)
***Fibonacci levels are calculated using the highest and lowest price levels of the Monday range.
Common Fibonacci ratios such as 0.272, 0.414, 0.50, and 0.618 represent deviation levels of the Monday range.
Additionally, the levels are completed with -1 and +1 to determine at which level the price is within the weekly swing.
***Visualization on the Chart:
The Monday range, midpoint, Fibonacci levels, and other components are displayed on the chart using appropriate shapes and colors.
The indicator provides a visual representation of the Monday range and Fibonacci levels using lines, circles, and other graphical elements.
***Strategy and Usage:
The Monday range represents the starting point of the weekly price movement. This range plays an important role in determining weekly support and resistance levels.
Fibonacci levels are used to identify potential reaction zones and trend reversals. These levels indicate where the price may encounter support or resistance.
You can use the indicator in conjunction with other technical analysis tools and indicators to conduct a more comprehensive analysis. For example, combining it with trendlines, moving averages, or oscillators can enhance the accuracy.
When making investment decisions, it is important to combine the information provided by the indicator with other analysis methods and use risk management strategies.
Thank you in advance for your likes, follows, and comments. If you have any questions, feel free to ask."
Absolute ZigZag LibLibrary "Absolute_ZigZag_Lib"
This ZigZag Library is a Bit different. Instead of using percentages or looking more than 1 bar left or right, this Zigzag library calculates pivots by just looking at the current bar highs and lows and the ones of one bar earlier.
This is the most accurate way of calculating pivots and it also eliminates lag.
The library also features a solution for bars that have both a higher high and a higher low like seen below.
You can also use your own colors for the labels and the lines.
You can also quickly select a one-colored theme without changing all colors at once
method isHigherHigh(this)
Checks if current pivot is a higher high
Namespace types: Pivot
Parameters:
this (Pivot) : (Pivot) The object to work with.
@return (bool) True if the pivot is a higher high, false if not.
method isLowerHigh(this)
Checks if current pivot is a lower high
Namespace types: Pivot
Parameters:
this (Pivot) : (Pivot) The object to work with.
@return (bool) True if the pivot is a lower high, false if not.
method isHigherLow(this)
Checks if current pivot is a higher low
Namespace types: Pivot
Parameters:
this (Pivot) : (Pivot) The object to work with.
@return (bool) True if the pivot is a higher low, false if not.
method isLowerLow(this)
Checks if current pivot is a lower low
Namespace types: Pivot
Parameters:
this (Pivot) : (Pivot) The object to work with.
@return (bool) True if the pivot is a lower low, false if not.
method getLastPivotHigh(this)
Gets the last Pivot High
Namespace types: Pivot
Parameters:
this (Pivot ) : (array) The object to work with.
@return (Pivot) The latest Pivot High
method getLastPivotLow(this)
Gets the last Pivot Low
Namespace types: Pivot
Parameters:
this (Pivot ) : (array) The object to work with.
@return (Pivot) The latest Pivot Low
method prev(this, index)
Namespace types: Pivot
Parameters:
this (Pivot )
index (int)
method last(this, throwError)
Namespace types: Pivot
Parameters:
this (Pivot )
throwError (bool)
new(highFirst, theme)
Parameters:
highFirst (bool)
theme (Theme)
getLowerTimeframePeriod()
Theme
Used to create a (color) theme to draw Zigzag
Fields:
colorDefault (series color)
colorNeutral (series color)
colorBullish (series color)
colorBearish (series color)
coloredLines (series bool)
Point
Used to determine a coordination on the chart
Fields:
x (series int)
y (series float)
Pivot
Used to determine pivots on the chart
Fields:
point (Point)
isHigh (series bool)
isHigher (series bool)
ln (series line)
lb (series label)
Market SniperThis Pine Script is a simplified trading algorithm designed to detect and signal potential buying and selling points based on the WaveTrend Oscillator and the volume traded.
Inputs and Setup:
The script initiates by defining key parameters: 'Wave Channel Length' (n1) set at 9 and 'Wave Average Length' (n2) set at 12. It also establishes a 'Volume Multiplier' (set at 2), and a 'Lookback Period' for volume calculation (set at 60 minutes). These values can be customized according to user preferences.
WaveTrend Oscillator Calculation:
It then calculates the WaveTrend Oscillator. The WaveTrend Oscillator is a momentum-based indicator that determines trend direction and potential reversal points. This is accomplished by applying an exponential moving average (EMA) and a simple moving average (SMA) to the average price data.
Volume Average Calculation:
Simultaneously, the script calculates the simple moving average of the volume over the defined 'Lookback Period'.
Buy and Sell Signals Definition:
The core of the trading signals lies in the crossing of the two lines of the WaveTrend Oscillator (wt1 and wt2) and whether the volume is higher than a certain threshold (defined by the 'Volume Multiplier' times the average volume). Specifically:
A 'Buy' signal is defined when the wt1 line crosses up the wt2 line and the volume is greater than the 'Volume Multiplier' times the average volume.
Conversely, a 'Sell' signal is defined when the wt1 line crosses down the wt2 line and the volume is greater than the 'Volume Multiplier' times the average volume.
Signal Plotting and Alert Creation:
Each time a 'Buy' or 'Sell' condition is met, the script plots a corresponding label directly on the price chart: a 'Buy' label below the bars for buy signals, and a 'Sell' label above the bars for sell signals. Additionally, it sets alerts based on these 'Buy' and 'Sell' signals with corresponding messages.
Complete Discrete Fourier Transform ToolkitThis is an expansion from my Discrete Fourier Transform Overlay indicator which offers various features that may be useful for traders wishing to apply frequency analysis or integral transform to their trading. For those unfamiliar with the concept, the discrete Fourier transform decomposes wave or wave-like data into functions depending on frequency. This can be helpful in demonstrating or interpreting trends and periodic frequencies in time-series price data, or oscillating indicators.
This toolkit has the following features:
Fourier bands (deviation cloud): The deviation cloud expresses the uncertainty in the DFT algorithm, as well as the relative change in frequency of the curve.
Fourier supertrend: The supertrend is applied as a product of the DFT algorithm, instead of onto the price data itself. This filters the supertrend from infrequent periodicities. For trading, this means that the supertrend will not be affected by false breakouts or breakdowns. See the image below for an example:
Future updates may include:
Projection of the probabilistic uncertainty principle. In a nutshell, the concept can be used to project uncertainties forwards through price data to forecast the path of least resistance, or, the most probable frequency.
Machine learning capabilities. Justin Doherty has done the Pine Script community a great service in introducing kNN algorithms with Lorentzian distance calculations; however, this is only the start of relativistic mechanics that can be applied to time series data. The DFT algorithm essentially filters data into its periodicities; this data can be inserted into a relativistic kNN algorithm - Lorenz or otherwise - to possibly improve accuracy.
Auto Motive Wave [Trendoscope]Earlier we created an interactive script to study Motive Waves by manually selecting the wave patterns on the chart.
You can find the open source script here:
In this indicator, we will try to do it automatically. Hence, you don't need to draw the waves manually to check anymore. The indicator will do it for you.
🎲 Conditions for Motive Wave
Rules for Motive Waves remain same as before. Motive wave can be either Impulse or Diagonal Wave. Diagonal wave can be either expanding or contracting diagonals. To learn more about diagonal waves, please go through this idea.
🎲 Rules for generic motive waves are as below
Pivots in order - Checks wether the pivots selected are in progressive order.
Directions in order - Checks if the pivot directions are correct - either PH, PL, PH, PL, PH, PL or PL, PH, PL, PH, PL, PH
Wave 2 never moves beyond the start of wave 1 - Wave 2 retracement is less than 100% of wave1
Wave 3 always moves beyond the end of wave 1 - Wave 3 retracement is more than 100% of wave2
Wave 3 is never the shortest one - Checks if Wave 3 is bigger than either Wave 1 or wave 5 or both.
🎲 Now, these are the specific rules for Impulse Waves on top of Motive Wave conditions
Wave 4 never moves beyond the end of Wave 1 - meaning wave 1 and wave 4 never overlap on price scale.
Wave 1, 3, 5 are all not extended. We check for retracement ratios of more than 200% to be considered as extended wave.
🎲 Below are the conditions for Diagonal Waves on top of Motive Wave conditions
Wave4 never moves beyond the start of Wave 3 - Wave 4 retracement is less than 100%
Wave 4 always ends within the price territory of Wave 1 - Unlike impulse wave, wave 4 intersects with wave 1 in case of diagonal waves. This is the major difference between impulse and diagonal wave.
Waves are progressively expanding or contracting - Wave1 > Wave3 > Wave5 and Wave2 > Wave4 to be contracting diagonal. Wave1 < Wave3 < Wave5 and Wave2 < Wave4 to be expanding diagonal wave.
Settings are for the indicator include option to select zigzag length, theme color, and few constraints about the waves to be scanned. You can use the tooltips to find more about them
Interactive Motive Wave ChecklistHere is an interactive tool that can be used for learning a bit about Elliott Waves
🎲 How it works?
The script upon load asks users to enter 6 pivots in an order. Once all 6 pivots are selected on the interactive chart, the script will calculate if the structure is a valid motive wave.
When you load the script, you will see a prompt on the chart to select points on the chart to form 6 pivots.
When you select the 6 pivots, the checklists are populated on the chart to notify users which conditions for qualifying the selection has passed and which of them are failed.
🎲 Conditions for Motive Wave
Motive wave can be either Impulse or Diagonal Wave. Diagonal wave can be either expanding or contracting diagonals. To learn more about diagonal waves, please go through this idea.
Rules for generic motive waves are as below
Pivots in order - Checks wether the pivots selected are in progressive order.
Directions in order - Checks if the pivot directions are correct - either PH, PL, PH, PL, PH, PL or PL, PH, PL, PH, PL, PH
Wave 2 never moves beyond the start of wave 1 - Wave 2 retracement is less than 100% of wave1
Wave 3 always moves beyond the end of wave 1 - Wave 3 retracement is more than 100% of wave2
Wave 3 is never the shortest one - Checks if Wave 3 is bigger than either Wave 1 or wave 5 or both.
Now, these are the specific rules for Impulse Waves on top of Motive Wave conditions
Wave 4 never moves beyond the end of Wave 1 - meaning wave 1 and wave 4 never overlap on price scale.
Wave 1, 3, 5 are all not extended. We check for retracement ratios of more than 200% to be considered as extended wave.
Below are the conditions for Diagonal Waves on top of Motive Wave conditions
Wave4 never moves beyond the start of Wave 3 - Wave 4 retracement is less than 100%
Wave 4 always ends within the price territory of Wave 1 - Unlike impulse wave, wave 4 intersects with wave 1 in case of diagonal waves. This is the major difference between impulse and diagonal wave.
Waves are progressively expanding or contracting - Wave1 > Wave3 > Wave5 and Wave2 > Wave4 to be contracting diagonal. Wave1 < Wave3 < Wave5 and Wave2 < Wave4 to be expanding diagonal wave.
Here is an example of diagonal wave projection
Here is an example of impulse wave projection
Discrete Fourier Transform Overlay [wbburgin]The discrete Fourier transform (DFT) overlay uses a discrete Fourier transform algorithm to identify trend direction. This is a simpler interpretation that only uses the magnitude of the first frequency component obtained from the DFT algorithm, but can be useful for visualization purposes. I haven't seen many Fourier scripts on TradingView that actually have the magnitude plotted on the chart (some have lines, for instance, but that makes it difficult to look into the past or to see previous lines).
About the Discrete Fourier Transform
The DFT is a mathematical transformation that decomposes a time-domain signal into its constituent frequency components. By applying the DFT to OHLC data, we can interpret the periodicities and trends present in the market. I've designed the overlay so that you can choose your source for the Fourier transform, as well as the length.
Settings and Configuration
The "Fourier Period" is the transform length of the DFT algorithm. This input indicates the number of data points considered for the DFT calculation. For example, if this input is set to 20, the DFT will be performed on the most recent 20 data points of the input series. The transform length affects the resolution and accuracy of the frequency analysis. A shorter transform length may provide a broader frequency range but with less detail, while a longer transform length can provide finer frequency resolution but may be computationally more intensive (I recommend using under 100 - anything above that might take too much time to load on the platform).
The "Fourier X Series" is the source you want the Fourier transform to be applied to. I have it set in default to the close.
"Kernel Smoothing" is the bar-start of the rational quadratic kernel used to smooth the frequency component. Think of it just like a normal moving average if you are unfamiliar with the concept, it functions similarly to the "length" value of a moving average.
DB ZEMAThe DB ZEMA indicator is a no repaint indicator that is designed to local trends and local tops/bottoms. Since the indicator does not repaint, decisions can be made upon bar/period OPEN.
That means, when the indicator turns red indicating a market top is finished, then a decision can be made to close at the OPEN of that period. Likewise, when the indicator turns green, a decision can be made to buy at OPEN or during the current bar.
Additionally, traders may use the ZEMA level to get insight on the strength of the asset. For example, when the ZEMA is below -50 that would indicate a major low or weakness is present. ZEMAs under a certain threshold can indicate very good investment long entry points. Alternatively, zooming the chart out to view a long range of periods can show a pattern of common low ZEMA levels can be used as a baseline for good entry points. The same holds true for existing a long or entering a short.
Using a combination of the ZEMA color and the ZEMA level it's can be easy to tell smart entry and exist points. Especially on the weekly or higher timeframes.
For traders wanting real time data, there is a setting to disable the no-repaint mode to display the current real time ZEMA value. Traders may also adjust the length. By default the length of 10 is provided which is excellent for Weekly. We recommend a length of less than 10 for even high timeframes. For example a length of 2 is excellent on 4 Month timeframe for looking at market cycles, etc.
Finally the indicator offers the ability to change the symbol. This can be helpful in crypto in comparing the chart asset again BTC or similar.
Enjoy!
Dual Dynamic Fibonacci Retracement — Long and Short Duration
Title : "The Dual-Dynamic Fibonacci Retracement Script: An Advanced Tool for Comprehensive Market Analysis"
As the author of the "Dual-Dynamic Fibonacci Retracement Script", I am delighted to introduce you to this cutting-edge tool for technical analysis. Unlike conventional Fibonacci scripts, this advanced model incorporates multiple unique features and adjustments that make it a powerful asset for any market analyst. Whether you're dealing with forex, commodities, equities or any other market, this script is versatile enough to enhance your trading strategy.
Uniqueness & Differentiation:
The "Dual-Dynamic Fibonacci Script" stands out by offering two distinct lookback periods. This feature is what separates it from other scripts available in the market. The first lookback period is longer, focusing on capturing broader market trends. The second lookback period is shorter, allowing for a more granular analysis of near-term market fluctuations. This dual perspective provides a more comprehensive view of the market, allowing you to see both the forest and the trees at the same time.
Fibonacci Levels:
While offering the standard Fibonacci retracement levels (0.236, 0.382, 0.5, 0.618, 0.786, and 1.0), the script also gives you the ability to plot 0.114 and 0.886 levels. These additional levels offer an extra layer of depth to your analysis, and can prove crucial in high-volatility markets where they often serve as significant support and resistance points.
Customizable Line Shifts and Extends:
This script provides options for customization of the shift and extension of the plotted lines. This means you can adjust the start and end points of the Fibonacci lines according to your personal trading style and strategy. This level of personalization is not typically available in other scripts, and it allows for a more tailored visual representation.
Flexible Trading Positioning:
Depending on whether the closing price is above or below the midpoint of the pivot high and pivot low, the Fibonacci retracement levels are adjusted accordingly. This ensures the script remains relevant and useful regardless of market conditions.
Clean Visualization:
To prevent clutter and maintain focus on the most relevant price action, the script removes old Fibonacci lines and plots new ones once a new pivot high or low is identified. This clean visualization helps keep your analysis focused and sharp.
How to Use the Script:
To get started, simply adjust the lookback periods according to your trading strategy. If you're a long-term investor or prefer swing trading, a longer lookback period might be appropriate. Conversely, if you're a day trader, a shorter lookback period might be more beneficial.
The "Shift" and "Extend" inputs allow you to control the positioning of the Fibonacci lines on your chart. Positive values shift the lines to the right, while negative values shift them to the left.
You also have the choice to plot the additional Fibonacci levels (0.114 and 0.886) via the "Plot 0.114 and 0.886 levels?" input. Similarly, the "Plot second set of levels?" input lets you decide whether to display the second set of Fibonacci levels derived from the shorter lookback period.
Like any technical analysis tool, this script is most effective when used in conjunction with other indicators and methods of analysis. It is designed to work well in trending markets, where Fibonacci retracements can often indicate potential reversal levels. However, it's always recommended to use a holistic approach to market analysis to maximize the likelihood of successful trades.
Note: the two lines drawn on the chart are there to help the user identify the levels from which the two respective Fib sequences are calculated.
~~~
Input Explanations:
Long Period Pivot High/Low Lookback and Short Period Pivot High/Low Lookback : These settings determine the length of the lookback periods for the long-term and short-term pivot points, respectively. A pivot point is a technical analysis indicator used to determine the overall trend of the market over different time frames. The pivot points are then used to calculate the Fibonacci levels. A longer lookback period will identify pivot points over a broader time frame, capturing major market trends, while a shorter lookback period will identify pivot points over a narrower time frame, capturing more immediate market movements.
Long Period Fibonacci Level Shift and Short Period Fibonacci Level Shift : These inputs control the shift of the Fibonacci levels based on the long and short lookback periods, respectively. If you want to shift the Fibonacci levels to the right, increase the value. If you want to shift the Fibonacci levels to the left, decrease the value. This allows you to adjust the Fibonacci levels to better align with your analysis.
Long Period Fibonacci Level Extend and Short Period Fibonacci Level Extend : These inputs control the extension of the Fibonacci levels based on the long and short lookback periods, respectively. If you want the Fibonacci levels to extend further to the right, increase the value. If you want the Fibonacci levels to extend less to the right, decrease the value. This feature provides the flexibility to adjust the length of the Fibonacci levels according to your personal trading preferences and strategy.
Plot 0.114 and 0.886 levels? : This setting gives you the ability to plot the additional 0.114 and 0.886 Fibonacci levels. These levels provide extra depth to your analysis, particularly in highly volatile markets where they can act as significant support and resistance levels.
Plot second set of levels? : This input allows you to decide whether to plot the second set of Fibonacci levels based on the short lookback period. Displaying this second set of levels can provide a more granular view of market movements and potential reversal points, enhancing your overall analysis.
SuperBollingerTrend (Expo)█ Overview
The SuperBollingerTrend indicator is a combination of two popular technical analysis tools, Bollinger Bands, and SuperTrend. By fusing these two indicators, SuperBollingerTrend aims to provide traders with a more comprehensive view of the market, accounting for both volatility and trend direction. By combining trend identification with volatility analysis, the SuperBollingerTrend indicator provides traders with valuable insights into potential trend changes. It recognizes that high volatility levels often accompany stronger price momentum, which can result in the formation of new trends or the continuation of existing ones.
█ How Volatility Impacts Trends
Volatility can impact trends by expanding or contracting them, triggering trend reversals, leading to breakouts, and influencing risk management decisions. Traders need to analyze and monitor volatility levels in conjunction with trend analysis to gain a comprehensive understanding of market dynamics.
█ How to use
Trend Reversals: High volatility can result in more dramatic price fluctuations, which may lead to sharp trend reversals. For example, a sudden increase in volatility can cause a bullish trend to transition into a bearish one, or vice versa, as traders react to significant price swings.
Volatility Breakouts: Volatility can trigger breakouts in trends. Breakouts occur when the price breaks through a significant support or resistance level, indicating a potential shift in the trend. Higher volatility levels can increase the likelihood of breakouts, as they indicate stronger market momentum and increased buying or selling pressure. This indicator triggers when the volatility increases, and if the price is near a key level when the indicator alerts, it might trigger a great trend.
█ Features
Peak Signal Move
The indicator calculates the peak price move for each ZigZag and displays it under each signal. This highlights how much the market moved between the signals.
Average ZigZag Move
All price moves between two signals are stored, and the average or the median is calculated and displayed in a table. This gives traders a great idea of how much the market moves on average between two signals.
Take Profit
The Take Profit line is placed at the average or the median price move and gives traders a great idea of what they can expect in average profit from the latest signals.
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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!
Wyckoff Wave Volume
What Is Wyckoff Wave Volume and How Does It Work?
It is the cumulative sum of exchanged (sold/bought) shares or contracts on a given wave (downward or upward) in a given time plotted below the chart as volume histogram. It shows how much trade is taking place on a given wave. Values are displayed below the chart as opposed to the Wyckoff Wave Chart indicator which displays these values as numbers plotted on the chart.
As you can see in the attached chart, volume candles usually only show a single buyer and seller exposure on the chart. On a normal volume, "Volume Spike" are clearly visible, which play an important role in the analysis. However, the cumulative volume on a wave gives us much more information and shows exactly on which waves the biggest purchases or the biggest sales take place. As in the attached chart, we can see how buyers aggressively carried out the final accumulation action just before the range breakout. In the analysis of the Wyckoff method, cumulative volume is a key indicator to assess the strength or weakness of the market.
It works very similarly the other way around (distribution). Before the market changes direction after large increases, downward waves are characterized by very high volume, which is drawn on the histogram as ultra-high bars. This is information about the distribution carried out by the players - taking profits after increases or opening shorts.
Wyckoff Wave Volume for TradingView
Wyckoff Wave Volume is the best tool to identify turning points in all markets. Money plays in the market, not set ups. Therefore, in order to earn money, you must play in the same direction as the professionals! It is thanks to the observation of the volume that you can know which side the professionals (Smart Money) are on and trade in accordance with their direction. You can also "look" inside the chart and see on the numbers or graphical histogram who controls the market at a given moment - Buyer or the Seller.
Let's Start From The Beginning!
Wyckoff Wave Volume created by Richard Wyckoff in early 1930' were a breakthrough in technical analysis. In his famous technical analysis course, he told his students to "think like waves". Volume analysis was an integral part of his way of investing. During the period when Wyckoff was active in the financial markets wave volume was calculated manually, we now have a fully automated version for TradingView. Using Wyckoff Cumulative Volume you will be surprised how well it identifies turning points in all markets and on any time frame. This tool is very helpful in predicting trend changes in all markets like forex, crypto, futures and stocks.
In order for the indicator to work well on all charts, it is necessary to set the appropriate step in its settings.
"Step" is the wave setting to be taken into account when counting the volume on a given swing. The standard setting for each round is 30. This is the measure of pips on which the next upward or downward wave is to be counted. However, for individual assets, these settings can be adjusted individually.
