HyperTrend [LuxAlgo]The HyperTrend indicator aims to provide a real-time estimate of an underlying linear trend in the price. Support and resistance extremities are constructed from this estimate which can provide trade opportunities within the overall trend.
Most tools that return lines on a chart are either subject to backpainting or repainting. We aimed to provide a reliable real-time method to estimate linear trends in the price, enhancing traders' decision making processes when it comes to trading trends in price, hence the term 'HyperTrend'.
🔶 USAGE
Users can use the HyperTrend to easily determine the trend direction in the price, with an average sloping upward indicating an uptrend, and an average sloping downward indicating a downtrend.
The channels upper extremity can act as a resistance, while the lower extremity can act as a support. Contact with candle wicks can signal timely reversals/retracements.
Using a higher "Multiplicative Factor" value will return less frequent new channels, and is suitable to analyze longer-term trends. The slope settings on the other end allow us to control the slope of the returned channels, with higher values returning flatter results (similar to our previously posted predictive ranges).
🔹 Channel Average
The channel average can return an estimate of the current (and future) trend in the price, the chart below shows an interval where a linear regression is displayed alongside the channel average:
Unlike the linear regression, the average does not have any lookahead bias, this of course comes at the price of accuracy in most cases.
Users can also use this average as a support or resistance. The breakout of a TC average that has been tested multiple times can be considered more significant in suggesting a trend reversal.
🔶 SETTINGS
Multiplicative Factor: Control the allowed degree of deviation of the price from the average line. Higher values will return less frequent new channels.
Slope: Controls the steepness of the returned lines. Higher values will return flatter results.
Width %: Width percentage of the channel. Lower results will return narrower channels.
Trend
RibboNN Machine Learning [ChartPrime]The RibboNN ML indicator is a powerful tool designed to predict the direction of the market and display it through a ribbon-like visual representation, with colors changing based on the prediction outcome from a conditional class. The primary focus of this indicator is to assist traders in trend following trading strategies.
The RibboNN ML in action
Prediction Process:
Conditional Class: The indicator's predictive model relies on a conditional class, which combines information from both longcon (long condition) and short condition. These conditions are determined using specific rules and criteria, taking into account various market factors and indicators.
Direction Prediction: The conditional class provides the basis for predicting the direction of the market move. When the prediction value is greater than 0, it indicates an upward trend, while a value less than 0 suggests a downward trend.
Nearest Neighbor (NN): To attempt to enhance the accuracy of predictions, the RibboNN ML indicator incorporates a Nearest Neighbor algorithm. This algorithm analyzes historical data from the Ribbon ML's predictive model (RMF) and identifies patterns that closely resemble the current conditional prediction class, thereby offering more robust trend forecasts.
Ribbon Visualization:
The Ribbon ML indicator visually represents its predictions through a ribbon-like display. The ribbon changes colors based on the direction predicted by the conditional class. An upward trend is represented by a green color, while a downward trend is depicted by a red color, allowing traders to quickly identify potential market directions.
The introduction of the Nearest Neighbor algorithm provides the Ribbon ML indicator with unique and adaptive behaviors. By dynamically analyzing historical patterns and incorporating them into predictions, the indicator can adapt to changing market conditions and offer more reliable signals for trend following trading strategies.
Manipulation of the NN Settings:
Smaller Value of Neighbours Count:
When the value of "Neighbours Count" is small, the algorithm considers only a few nearest neighbors for making predictions.
A smaller value of "Neighbours Count" leads to more flexible decision boundaries, which can result in a more granular and sensitive model.
However, using a very small value might lead to overfitting, especially if the training data contains noise or outliers.
Larger Value of "Neighbours Count":
When the value of "Neighbours Count" is large, the algorithm considers a larger number of nearest neighbors for making predictions.
A larger value of "Neighbours Count" leads to smoother decision boundaries and helps capture the global patterns in the data.
However, setting a very large value might result in a loss of local patterns and make the model less sensitive to changes in the data.
RAINBOW AVERAGES - INDICATOR - (AS) - 1/3
-INTRODUCTION:
This is the first of three scripts I intend to publish using rainbow indicators. This script serves as a groundwork for the other two. It is a RAINBOW MOVING AVERAGES indicator primarily designed for trend detection. The upcoming script will also be an indicator but with overlay=false (below the chart, not on it) and will utilize RAINBOW BANDS and RAINBOW OSCILLATOR. The third script will be a strategy combining all of them.
RAINBOW moving averages can be used in various ways, but this script is mainly intended for trend analysis. It is meant to be used with overlay=true, but if the user wishes, it can be viewed below the chart. To achieve this, you need to change the code from overlay=true to false and turn off the first switch that plots the rainbow on the chart (or simply move the indicator to a new pane below). By doing this, you will be able to see how all four conditions used to detect trends work on the chart. But let's not get ahead of ourselves.
-WHAT IS IT:
In its simplest form, this indicator uses 10 moving averages colored like a rainbow. The calculation is as follows:
MA0: This is the main moving average and can be defined with the type (SMA, EMA, RMA, WMA, SINE), length, and price source. However, the second moving average (MA1) is calculated using MA0 as its source, MA2 uses MA1 as the data source, and so on, until the last one, MA9. Hence, there are 10 moving averages. The first moving average is special as all the others derive from it. This indicator has many potential uses, such as entry/exit signals, volatility indication, and stop-loss placement, but for now, we will focus on trend detection.
-TREND DETECTION:
The indicator offers four different background color options based on the user's preference:
0-NONE: No background color is applied as no trend detection tools is being used (boring)
1-CHANGE: The background color is determined by summing the changes of all 10 moving averages (from two bars). If the sum is positive and not falling, the background color is GREEN. If the sum is negative and not rising, the background color is RED. From early testing, it works well for the beginning of a movement but not so much for a lasting trend.
2-RAINBW: The background color is green when all the moving averages are in ascending order, indicating a bullish trend. It is red when all the moving averages are in descending order, indicating a bearish trend. For example, if MA1>MA2>MA3>MA4..., the background color is green. If MA1 threshold, and red indicates width < -threshold.
4-DIRECT: The background color is determined by counting the number of moving averages that are either above or below the input source. If the specified number of moving averages is above the source, the background color is green. If the specified number of moving averages is below the source, the background color is red. If all ten MAs are below the price source, the indicator will show 10, and if all ten MAs are above, it will show -10. The specific value will be set later in the settings (same for 3-TSHOLD variant). This method works well for lasting trends.
Note: If the indicator is turned into a below-chart version, all four color options can be seen as separate indicators.
-PARAMETERS - SETTINGS:
The first line is an on/off switch to plot the skittles indicator (and some info in the tooltip). The second line has already been discussed, which is the background color and the selection of the source (only used for MA0!).
The line "MA1: TYP/LEN" is where we define the parameters of MA0 (important). We choose from the types of moving averages (SMA, EMA, RMA, WMA, SINE) and set the length.
Important Note: It says MA1, but it should be MA0!.
The next line defines whether we want to smooth MA1 (which is actually MA0) and the period for smoothing. When smoothing is turned on, MA0 will be smoothed using a 3-pole super smoother. It's worth noting that although this only applies to MA0, as the other MAs are derived from it, they will also be smoothed.
In the line below, we define the type and length of MAs for MA2 (and other MAs except MA0). The same type and length are used for MA1 to MA9. It's important to remember that these values should be smaller. For example, if we set 55, it means that MA1 is the average of 55 periods of MA0, MA2 will be 55 periods of MA1, and so on. I encourage trying different combinations of MA types as it can be easily adjusted for ur type of trading. RMA looks quirky.
Moving on to the last line, we define some inputs for the background color:
TSH: The threshold value when using 3-TSHOLD-BGC. It's a good idea to change the chart to a pane below for easier adjustment. The default values are based on EURUSD-5M.
BG_DIR: The value that must be crossed or equal to the MA score if using 4-DIRECT-BGC. There are 10 MAs, so the maximum value is also 10. For example, if you set it to 9, it means that at least 9 MAs must be below/above the price for the script to detect a trend. Higher values are recommended as most of the time, this indicator oscillates either around the maximum or minimum value.
-SUMMARY OF SETTINGS:
L1 - PLOT MAs and general info tooltip
L2 - Select the source for MA0 and type of trend detection.
L3 - Set the type and length of MA0 (important).
L4 - Turn smoothing on/off for MA0 and set the period for super smoothing.
L5 - Set the type and length for the rest of the MAs.
L6 - Set values if using 4-DIRECT or 3-TSHOLD for the trend detection.
-OTHERS:
To see trend indicators, you need to turn off the plotting of MAs (first line), and then choose the variant you want for the background color. This will plot it on the chart below.
Keep in mind that M1 int settings stands for MA0 and MA2 for all of the 9 MAs left.
Yes, it may seem more complicated than it actually is. In a nutshell, these are 10 MAs, and each one after MA0 uses the previous one as its source. Plus few conditions for range detection. rest is mainly plots and colors.
There are tooltips to help you with the parameters.
I hope this will be useful to someone. If you have any ideas, feedback, or spot errors in the code, LET ME KNOW.
Stay tuned for the remaining two scripts using skittles indicators and check out my other scripts.
-ALSO:
I'm always looking for ideas for interesting indicators and strategies that I could code, so if you don't know Pinescript, just message me, and I would be glad to write your own indicator/strategy for free, obviously.
-----May the force of the market be with you, and until we meet again,
RSI Momentum Trend ScreenerIntroducing The RSI Momentum Trend Screener, to have the ability to scan 40 symbols at once
The screener is based on RSI Momentum Trend Indicator
It will show Positive Or Negative based on the symbol condition.
You can change the values on the screener, symbols, activate/disable symbols and change table position and color
Multi Kernel Regression [ChartPrime]The "Multi Kernel Regression" is a versatile trading indicator that provides graphical interpretations of market trends by using different kernel regression methods. It's beneficial because it smoothes out price data, creating a clearer picture of price movements, and can be tailored according to the user's preference with various options.
What makes this indicator uniquely versatile is the 'Kernel Select' feature, which allows you to choose from a variety of regression kernel types, such as Gaussian, Logistic, Cosine, and many more. In fact, you have 17 options in total, making this an adaptable tool for diverse market contexts.
The bandwidth input parameter directly affects the smoothness of the regression line. While a lower value will make the line more sensitive to price changes by sticking closely to the actual prices, a higher value will smooth out the line even further by placing more emphasis on distant prices.
It's worth noting that the indicator's 'Repaint' function, which re-estimates work according to the most recent data, is not a deficiency or a flaw. Instead, it’s a crucial part of its functionality, updating the regression line with the most recent data, ensuring the indicator measurements remain as accurate as possible. We have however included a non-repaint feature that provides fixed calculations, creating a steady line that does not change once it has been plotted, for a different perspective on market trends.
This indicator also allows you to customize the line color, style, and width, allowing you to seamlessly integrate it into your existing chart setup. With labels indicating potential market turn points, you can stay on top of significant price movements.
Repaint : Enabling this allows the estimator to repaint to maintain accuracy as new data comes in.
Kernel Select : This option allows you to select from an array of kernel types such as Triangular, Gaussian, Logistic, etc. Each kernel has a unique weight function which influences how the regression line is calculated.
Bandwidth : This input, a scalar value, controls the regression line's sensitivity towards the price changes. A lower value makes the regression line more sensitive (closer to price) and higher value makes it smoother.
Source : Here you denote which price the indicator should consider for calculation. Traditionally, this is set as the close price.
Deviation : Adjust this to change the distance of the channel from the regression line. Higher values widen the channel, lower values make it smaller.
Line Style : This provides options to adjust the visual style of the regression lines. Options include Solid, Dotted, and Dashed.
Labels : Enabling this introduces markers at points where the market direction switches. Adjust the label size to suit your preference.
Colors : Customize color schemes for bullish and bearish trends along with the text color to match your chart setup.
Kernel regression, the technique behind the Multi Kernel Regression Indicator, has a rich history rooted in the world of statistical analysis and machine learning.
The origins of kernel regression are linked to the work of Emanuel Parzen in the 1960s. He was a pioneer in the development of nonparametric statistics, a domain where kernel regression plays a critical role. Although originally developed for the field of probability, these methods quickly found application in various other scientific disciplines, notably in econometrics and finance.
Kernel regression became really popular in the 1980s and 1990s along with the rise of other nonparametric techniques, like local regression and spline smoothing. It was during this time that kernel regression methods were extensively studied and widely applied in the fields of machine learning and data science.
What makes the kernel regression ideal for various statistical tasks, including financial market analysis, is its flexibility. Unlike linear regression, which assumes a specific functional form for the relationship between the independent and dependent variables, kernel regression makes no such assumptions. It creates a smooth curve fit to the data, which makes it extremely useful in capturing complex relationships in data.
In the context of stock market analysis, kernel regression techniques came into use in the late 20th century as computational power improved and these techniques could be more easily applied. Since then, they have played a fundamental role in financial market modeling, market prediction, and the development of trading indicators, like the Multi Kernel Regression Indicator.
Today, the use of kernel regression has solidified its place in the world of trading and market analysis, being widely recognized as one of the most effective methods for capturing and visualizing market trends.
The Multi Kernel Regression Indicator is built upon kernel regression, a versatile statistical method pioneered by Emanuel Parzen in the 1960s and subsequently refined for financial market analysis. It provides a robust and flexible approach to capturing complex market data relationships.
This indicator is more than just a charting tool; it reflects the power of computational trading methods, combining statistical robustness with visual versatility. It's an invaluable asset for traders, capturing and interpreting complex market trends while integrating seamlessly into diverse trading scenarios.
In summary, the Multi Kernel Regression Indicator stands as a testament to kernel regression's historic legacy, modern computational power, and contemporary trading insight.
RSI Divergence Screener by zdmreThis screener tracks the following for up to 20 assets:
-All selected tickers will be screened in same timeframes (as in the chart).
-Values in table indicate that how many days passed after the last Bullish or Bearish of RSI Divergence.
For example, when BTCUSDT appears Bullish-Days Ago (15) , Bitcoin has switched to a Bullish Divergence signal 15 days ago.
Thanks to @QuantNomad and @MUQWISHI for building the base for this screener.
*Use it at your own risk
Note:
Screener shows the information about the RSI Divergence Scanner by zdmre with default settings.
Based indicator:
Moving Average-TREND POWER v2.0-(AS)HELLO:
-This indicator is a waaaay simpler version of my other script - Moving Average-TREND POWER v1.1-(AS).
HOW DOES IT WORK:
-Script counts number of bars below or above selected Moving Average (u can se them by turning PLOT BARS on). Then multiplies number of bars by 0.01 and adds previous value. So in the uptrend indicator will be growing faster with every bar when price is above MA. When MA crosess price Value goes to zero so it shows when the market is ranging.
If Cross happens when number of bars is higher than Upper threshold or below Lower threshold indicator will go back to zero only if MA crosses with high in UPtrend and low in DNtrend. If cross happens inside THSs Value will be zero when MA crosses with any type of price source like for example (close,high,low,ohlc4,hl etc.....).This helps to get more crosess in side trend and less resets during a visible trend
HOW TO SET:
Just select what type of MA you want to use and Length. Then based on your preference set values of THSs'
OTHER INFORMATIONS:
-Script was created and tested on EURUSD 5M.
-For bigger trends choose slowerMAs and bigger periods and the other way around for short trends (FasterMAs/shorter periods)
-Below script code you can find not used formulas for calculating indicator value(thanks chat GPT), If you know some pinescript I encourage you to try try them or maybe bulid better ones. Script uses most basic one.
-Pls give me some feedback/ideas to improve and check out first version. Its way more complicated for no real reason but still worth to take a look'
-Also let me know if you find some logical errors in the code.
Enjoy and till we meet again.
VWAP angle TrendThe VWAP Angle Trend is an indicator built with the aim of providing valuable insights into the reversal points of the #VWAP using Angle
This is achieved by calculating the angle between the current VWAP and its previous value over a customizable lookback period and normalizing it with ATR
By analyzing the angle, we can gain an understanding of the strength and direction of the VWAP, which can help them identify potential trend reversals or continuations.
After observing the market over a lengthy period, I have come to realize that as the angle increases above 65 or decreases under -65 , it confirms a higher likelihood of a trend reversal.
the indicator highlights these zones where a trend reversal is more likely to occur.
The indicator can help you to assess the strength and direction of VWAP, enabling you to make more informed trading decisions.
By identifying periods of strong momentum or potential exhaustion, you can seek opportunities for entering or exiting positions, and potentially capitalize on trend movements in the market.
QFL Screener [ ZCrypto ]The QFL Screener is a robust tool inspired by Quickfingersluc's trading strategy.
Known as the Base Strategy or Mean Reversals, QFL focuses on identifying moments of panic selling and buying , presenting opportunities to enter trades at deeply discounted prices.
The QFL Screener is designed to enhance your trading efficiency by simultaneously scanning 40 symbols.
You have the flexibility to enable or disable specific symbols from the screening process, allowing you to tailor the screener to your preferred markets and instruments.
The Screener has a built-in alerts system . As soon as the QFL conditions align for any of the scanned symbols, you'll receive instant notifications, empowering you to take prompt action and seize potential trading opportunities.
In addition, I've incorporated a visual element to complement the alerts. Once the conditions are true, a green arrow shape will appear directly on the chart, providing a clear and intuitive signal of the QFL opportunity.
To provide a clear overview, our screener presents a comprehensive table that highlights when the QFL condition becomes true for each symbol. This table acts as a visual guide, enabling you to monitor the status of multiple symbols at a glance, streamlining your trading decision-making process.
With the QFL Screener, you gain an edge in identifying profitable trade setups based on Quickfingersluc's renowned approach. Experience the convenience of simultaneous screening, real-time alerts, and an intuitive table display, all in one user-friendly tool.
RSI Momentum TrendThe "RSI Momentum Trend" indicator is a valuable tool for traders seeking to identify momentum trends.
By utilizing the Relative Strength Index (RSI) and customizable momentum thresholds, this indicator helps traders spot potential bullish and bearish signals.
you can adjust input parameters such as the RSI period, positive and negative momentum thresholds, and visual settings to align with their trading strategies.
The indicator calculates the RSI and evaluates two momentum conditions: positive and negative.
The positive condition considers the previous RSI value, current RSI value, and positive change in the 5-period exponential moving average (EMA) of the closing price.
The negative condition looks at the current RSI value and negative change in the 5-period EMA.
Once a momentum condition is met, the indicator visually represents the signal on the chart.
The "RSI Momentum Trend" indicator provides you with a quick and effective way to identify momentum trends using RSI calculations.
By incorporating visual cues and customizable parameters, it assists traders in making informed decisions about potential market movements.
Trend Channels With Liquidity Breaks [ChartPrime]Trend Channels
This simple trading indicator is designed to quickly identify and visualize support and resistance channels in any market. The primary purpose of the Trend Channels with Liquidity Breaks indicator is to recognize and visualize the dominant trend in a more intuitive and user-friendly manner.
Main Features
Automatically identifies and plots channels based on pivot highs and lows
Option to extend the channel lines
Display breaks of the channels where liquidity is deemed high
Inclusion of volume data within the channel bands (optional)
Market-friendly and customizable colors and settings for easy visual identification
Settings
Length: Adjust the length and lookback of the channels
Show Last Channel: Only shows the last channel
Volume BG: Shade the zones according to the volume detected
How to Interpret
Trend Channels with Liquidity Breaks indicator uses a combination of pivot highs and pivot lows to create support and resistance zones, helping traders to identify potential breakouts, reversals or continuations of a trend.
These support and resistance zones are visualized as upper and lower channel lines, with a dashed center line representing the midpoint of the channel. The indicator also allows you to see the volume data within the channel bands if you choose to enable this functionality. High volume zones can potentially signal strong buying or selling pressure, which may lead to potential breakouts or trend confirmations.
To make the channels more market-friendly and visually appealing, Trend Channels indicator also offers customizable colors for upper and lower lines, as well as the possibility to extend the line lengths for further analysis.
The indicator displays breaks of key levels in the market with higher volume.
Dodge Trend [MyTradingCoder]Introducing the "Dodge Trend" indicator, an innovative variant of the Supertrend indicator designed to help traders better avoid fakeouts and maintain positions in established trends.
Like the Supertrend, the Dodge Trend uses Average True Range (ATR) but incorporates a unique adaptive adjustment feature that differentiates it from its counterparts. While the conventional Supertrend rises with the trend and only descends when the price crosses it, the Dodge Trend is designed to 'dodge' potential fakeouts.
This 'dodging' mechanism works by allowing the Dodge Trend to fall slightly during pullbacks, reducing the risk of a premature exit due to a temporary price drop. The recovery rate after the pullback is quicker but is slightly lower than the rate at which a new Dodge Trend high would be established in an uptrend. This unique adjustment feature allows the Dodge Trend to chase price action in an exponential fashion, potentially enabling a quicker exit when the trend shifts.
Key Settings:
Length: Adjust how much price action is taken into consideration for the ATR average. Lower values yield higher responsiveness to recent price action.
Size: Determines the initial deviation of the Dodge Trend when it resets after every flip/break.
Source: Specifies the data point (close, high, open, low, hl2, etc.) used for the Dodge Trend.
Dodge Intensity: Adjusts the intensity of the pullback effect. Higher values result in more intense pullbacks. Range is limited between 0 and 99, with 95 as the recommended default.
Bullish Color Setting: Sets the color for the uptrend Dodge Trend.
Bearish Color Setting: Sets the color for the downtrend Dodge Trend.
Dodge Trend is a powerful tool for traders looking to ride trends and avoid unnecessary exits due to short-term price fluctuations. While it offers a unique feature that may potentially improve trading outcomes, it should be used in conjunction with other indicators and analysis methods for a comprehensive trading strategy. As with all tools, it does not guarantee profitable trades but aims to give traders more actionable and precise information to base their decisions on.
Experience trend-following in a more adaptive and efficient manner with the Dodge Trend indicator, a tool designed to help you 'dodge' false exits and stay in line with the overall trend.
Prevailing Trend IndicatorOVERVIEW
The Prevailing Trend indicator is a technical indicator that gauges whether the price is currently trending up or down. The purpose of this indicator is to call and/or filter with-trend signals.
CONCEPTS
This indicator assists traders in identifying high-probability trend entries. The upper line (blue line on the indicator) is calculated by taking the average range (high-low) of all bullish candles. The lower line (red line on the indicator) is calculated by taking the average range of all bearish candles. When these two lines intersect and cross each other, a buy and sell signal is generated. For example, if the blue line crosses over the red line, this indicates that the average size of all bullish bars are larger than the average size of all bearish bars. This is a good sign that an uptrend might occur. Vice versa for downtrends.
HOW DO I READ THIS INDICATOR
As an entry indicator:
When the blue line crosses over the red line, go long.
When the red line crosses over the blue line, go short.
As a signal filter:
If the blue line is above the red line, only take long trades.
If the red line is above the blue line, only take short trades.
AFRHi everyone! Sorry for not posting anything for so long again. I will be active in July, after passing my university exams. I bought some S&C magazine archives, so await my new post strategies and indicator in July, as things are gonna get real interesting! But for now let me hand you some new and interesting stuff — AFR indicator.
Actually, this is my third time republishing this indicator after a big timeout because of the battles with TV mods on reference politics (which I lost).
This is indicator was originaly made by some user from other trading website, which I can't mention because of TV reference politics.
Which principles are behind AFR?
First we define our own low and high (OL and OH respectively), which are equal to:
OL = open - ATR * ATR_Factor
OH = open + ATR * ATR_Factor,
where ATR — Average True Range,
ATR_Factor — "Factor" in the settings — multiplier for ATR.
On each tick we remember AFR's value from previous bar, if it is not 0.
When OL is greater then AFR, then AFR is equal to OL. It means that there is probably an uptrend, so we adjust AFR accordingly.
When OH is lower then AFR, then AFR is equal to OH. It means that there is probably a downtrend, so we adjust AFR accordingly.
How to use?
Green AFR — bullish trend.
Red AFR — bearish trend.
Green AFR's triangle up — buy signal — appears when AFR changes it's colour from red to green.
Red AFR's triangle down— sell signal — appears when AFR changes it's colour from green to red.
ALERTS INCLUDED!
My personal ecommendations
- You can AFR as a tool to find short-term and middle-term trends, as it does it's best to find such trends;
- If are a scalper, then you probably should try AFR on low factor settings, as AFR alone can find good scalping entries.
- As AFR is a trend indicator, please use it with other confirmation indicator to make better entries.
Hope you will find this script useful.
Take your profits!
- Tarasenko Fyodor
CANDLE STICK HEATMAPCANDLE STICK HEATMAP shows the statistics of a candle at a particular time. its very useful to find repeating pattern's at a particular time in a day.
based on the settings you can see regular repeating patterns of a day in an hourly chart. During a particular time in day there is always a down or up signal or candles.
The table boxes are candles in RED and GREEN based on open and close of the chart. The Heat map is very useful in analyzing the daily Hourly candlesticks in a week. The Time of each candlestick is plotted on the table along with default Indicators like RSI, MACD, EMA, VOLUME, ADX.
Additionally this can be used as a screener of candles on all timeframes. Analysis is easy when you want to see what happened exactly at a particular time in the previous hour, day, month etc.,
Hopefully additional updates will be introduced shortly.
Indicators:
1. MACD (close,12,26,9)
2.RSI (close,14)
3.EMA 200
3.Volume MA
Option is provided to show indicator statistics and time.
Color can be changed using settings.
Supports all Time Zones
Cumulative TICK [Pt]Cumulative TICK Indicator, shown as the bottom indicator, is a robust tool designed to provide traders with insights into market trends using TICK data. This indicator visualizes the cumulative TICK trend in the form of colored columns on a separate chart below the main price chart.
Here's an overview of the key features of the Cumulative TICK Indicator:
1. Selectable TICK Source 🔄: The indicator allows users to choose from four different TICK data sources, namely USI:TICK , USI:TICKQ , USI:TICKI , and $USI:TICKA.
2. TICK Data Type Selection 🎚️: Users can select the type of TICK data to be used. The options include: Close, Open, hl2, ohlc4, hlc3.
3. Optional Simple Moving Average (SMA) 📊: The indicator offers an option to apply an SMA to the Cumulative TICK values, with a customizable length.
4. After-hour Background Color 🌙: The background color changes during after-hours to provide a clear distinction between regular and after-hour trading sessions.
🛠️ How it Works:
The Cumulative TICK Indicator uses TICK data accumulated during the regular market hours (9:30-16:00) as per the New York time zone. At the start of a new session or at the end of the regular session, this cumulative TICK value is reset.
The calculated Cumulative TICK is plotted in a column-style graph. If the SMA is applied, the SMA values are used for the column plots instead. The columns are colored green when the Cumulative TICK is positive and red when it is negative. The shades of green and red vary based on whether the Cumulative TICK is increasing or decreasing compared to the previous value.
This is a simple yet powerful tool to track market sentiment throughout the day using TICK data. Please note that this indicator is intended to be used as part of a comprehensive trading strategy. Always ensure you are managing risk appropriately and consulting various data sources to make informed trading decisions.
Adaptive Gaussian Moving AverageThe Adaptive Gaussian Moving Average (AGMA) is a versatile technical indicator that combines the concept of a Gaussian Moving Average (GMA) with adaptive parameters based on market volatility. The indicator aims to provide a smoothed trend line that dynamically adjusts to different market conditions, offering a more responsive analysis of price movements.
Calculation:
The AGMA is calculated by applying a weighted moving average based on a Gaussian distribution. The length parameter determines the number of bars considered for the calculation. The adaptive parameter enables or disables the adaptive feature. When adaptive is true, the sigma value, which represents the standard deviation, is dynamically calculated using the standard deviation of the closing prices over the volatilityPeriod. When adaptive is false, a user-defined fixed value for sigma can be input.
Interpretation:
The AGMA generates a smoothed line that follows the trend of the price action. When the AGMA line is rising, it suggests an uptrend, while a declining line indicates a downtrend. The adaptive feature allows the indicator to adjust its sensitivity based on market volatility, making it more responsive during periods of high volatility and less sensitive during low volatility conditions.
Potential Uses in Strategies:
-- Trend Identification : Traders can use the AGMA to identify the direction of the prevailing trend. Buying opportunities may arise when the price is above the AGMA line during an uptrend, while selling opportunities may be considered when the price is below the AGMA line during a downtrend.
-- Trend Confirmation : The AGMA can be used in conjunction with other technical indicators or trend-following strategies to confirm the strength and sustainability of a trend. A strong and steady AGMA line can provide additional confidence in the prevailing trend.
-- Volatility-Based Strategies : Traders can utilize the adaptive feature of the AGMA to build volatility-based strategies. By adjusting the sigma value based on market volatility, the indicator can dynamically adapt to changing market conditions, potentially improving the accuracy of entry and exit signals.
Limitations:
-- Lagging Indicator : Like other moving averages, the AGMA is a lagging indicator that relies on historical price data. It may not provide timely signals during rapidly changing market conditions or sharp price reversals.
-- Whipsaw in Sideways Markets : During periods of low volatility or when the market is moving sideways, the AGMA may generate false signals or exhibit frequent crossovers around the price, leading to whipsaw trades.
-- Subjectivity of Parameters : The choice of length, adaptive parameters, and volatility period requires careful consideration and customization based on individual preferences and trading strategies. Traders need to adjust these parameters to suit the specific market and timeframe they are trading.
Overall, the Adaptive Gaussian Moving Average can be a valuable tool in trend identification and confirmation, especially when combined with other technical analysis techniques. However, traders should exercise caution, conduct thorough analysis, and consider the indicator's limitations when incorporating it into their trading strategies.
Average Variation Bands OscillatorSimilar to how a donchian% of channel helps to visualize trend and volatility, this tool helps identify those same characteristics, if the oscillator is generally above the 50 mark, it is considered to be trending upwards, and the reverse if it is generally bellow 50.
NSDT Horizontal VWAPThis script plots VWAP as a horizontal line starting at the most recent candle and extending backwards for a period of 10 to make it easier to see. (default is 10 but can be changed to fit your needs)
You may only want to see where VWAP is currently and not need to see the entire day. Helps keep the chart clean.
Colors and line settings can all be modified.
You can show the original VWAP plot as well for reference.
What Is the Volume-Weighted Average Price (VWAP)?
The volume-weighted average price (VWAP) is a technical analysis indicator used on intraday charts that resets at the start of every new trading session.
It's a trading benchmark that represents the average price a security has traded at throughout the day, based on both volume and price.
VWAP is important because it provides traders with pricing insight into both the trend and value of a security.
Cumulative TICK Trend[Pt]Cumulative TICK Trend indicator is a comprehensive trading tool that uses TICK data to define the market's cumulative trend. Trend is shown on ATR EMA bands, which is overlaid on the price chart. Cumulative TICK shown on the bottom pane is for reference only.
Main features of the Cumulative TICK Trend Indicator include:
Selectable TICK Source: You have the flexibility to choose your preferred TICK source from the following options, depending on the market you trade: USI:TICK, USI:TICKQ, USI:TICKI, and USI:TICKA.
TICK Data Type: Select the type of TICK data to use, options include: Close, Open, hl2, ohlc4, hlc3.
Simple Moving Average (SMA): You can choose to apply an SMA on the calculated Cumulative TICK values with a customizable length.
Average True Range (ATR) Bands: It provides the option to display ATR bands with adjustable settings. This includes the ATR period, EMA period, source for the ATR calculation, and the ATR multiplier for the upper band.
Trend Color Customization: You can customize the color of the bull and bear trends according to your preference.
Smooth Line Option: This setting allows you to smooth the ATR Bands with a customizable length.
How it Works:
This indicator accumulates TICK data during market hours (9:30-16:00) as per the New York time zone and resets at the start of a new session or the end of the regular session. This cumulative TICK value is then used to determine the trend.
The trend is defined as bullish if the SMA of cumulative TICK is equal to or greater than zero and bearish if it's less than zero. Additionally, this indicator plots the ATR bands, which can be used as volatility measures. The Upper ATR Band and Lower ATR Band can be made smoother using the SMA, according to the trader's preference.
The plot includes two parts for each trend: a stronger color (Red for bear, Green for bull) when the trend is ongoing, and a lighter color when the trend seems to be changing.
Remember, this tool is intended to be used as part of a comprehensive trading strategy. Always ensure you are managing risk appropriately and consulting various data sources to make informed trading decisions.
Interactive trendline - Proximity Doji & 3LSThis script was developed with Blockhead305 (seriously talented) and uses 1) the Three Line Strike from The Moving Average as well as 2) an original doji script written for me and 3) the Interactive Trendline as developed by Blockhead305. The basic premise is that should a doji or Three Line Strike occur within a customizable ATR distance from your trendline, an on-chart notification will appear or you could set an alarm to warn you if this has happened.
How to set this up:
Step 1 - Find a a trend
Step 2 - Identify the candles that touches the trendline
Step 3 - Click on the indicator
Step 4 - Set the X1 and Y1 coordinates for the start of the trend
Step 5 - Set the X2 and Y2 coordinates for the last relevant candle of the trend
Step 6 - Write the number in the yellow box down (in this case 880)
Step 7 - Open the settings of the indicator
Enter the number from the yellow box into the box titled "Run" - Press "OK"
Step 8 - Chart should/could now show Buy/Sell Signals for the Dojis and/or Bullish or Bearish Three Line Strikes
Notes
1. If your trendline is bearish (X1/Y1 is higher than X2/Y2) only bearish signals will appear and vice versa
2. You can change the ATR multiples from trendline in the settings - I prefer 2 (which is also the default)
3. You can toggle Big Engulfing and/or Three Line Strike on or off (exact functionality as per The Moving Average functionality)
4. You can construct the type of doji you would like to see at the bottom of the settings screen - I prefer the following settings:
Dominant Wick Multiple - 2
Recessive Wick Multiple - 2
Body Multiple - 5
5. I place my SL above last high (shorts) or last low (longs) but could also use the trendline for this
6. I use TP with RRR off 1:2 but much more is obviously possible.
7. ONLY ONE INTERACTIVE TRENDLINE CAN BE USED ON THE SAME CHART
8. THE NUMBER IN THE YELLOW BOX IS RELEVANT TO THE TIMEFRAME THAT THE TRENDLINE WAS CREATED ON. IF YOU CHANGE
TIMEFRAMES IT WILL NOT WORK
Happy to receive constructive criticism and/or suggestions for improvements on the settings.
Auto Trend ProjectionAuto Trend Projection is an indicator designed to automatically project the short-term trend based on historical price data. It utilizes a dynamic calculation method to determine the slope of the linear regression line, which represents the trend direction. The indicator takes into account multiple length inputs and calculates the deviation and Pearson's R values for each length.
Using the highest Pearson's R value, Auto Trend Projection identifies the optimal length for the trend projection. This ensures that the projected trend aligns closely with the historical price data.
The indicator visually displays the projected trend using trendlines. These trendlines extend into the future, providing a visual representation of the potential price movement in the short term. The color and style of the trendlines can be customized according to user preferences.
Auto Trend Projection simplifies the process of trend analysis by automating the projection of short-term trends. Traders and investors can use this indicator to gain insights into potential price movements and make informed trading decisions.
Please note that Auto Trend Projection is not a standalone trading strategy but a tool to assist in trend analysis. It is recommended to combine it with other technical analysis tools and indicators for comprehensive market analysis.
Overall, Auto Trend Projection offers a convenient and automated approach to projecting short-term trends, empowering traders with valuable insights into the potential price direction.
Strongest TrendlineUnleashing the Power of Trendlines with the "Strongest Trendline" Indicator.
Trendlines are an invaluable tool in technical analysis, providing traders with insights into price movements and market trends. The "Strongest Trendline" indicator offers a powerful approach to identifying robust trendlines based on various parameters and technical analysis metrics.
When using the "Strongest Trendline" indicator, it is recommended to utilize a logarithmic scale . This scale accurately represents percentage changes in price, allowing for a more comprehensive visualization of trends. Logarithmic scales highlight the proportional relationship between prices, ensuring that both large and small price movements are given due consideration.
One of the notable advantages of logarithmic scales is their ability to balance price movements on a chart. This prevents larger price changes from dominating the visual representation, providing a more balanced perspective on the overall trend. Logarithmic scales are particularly useful when analyzing assets with significant price fluctuations.
In some cases, traders may need to scroll back on the chart to view the trendlines generated by the "Strongest Trendline" indicator. By scrolling back, traders ensure they have a sufficient historical context to accurately assess the strength and reliability of the trendline. This comprehensive analysis allows for the identification of trendline patterns and correlations between historical price movements and current market conditions.
The "Strongest Trendline" indicator calculates trendlines based on historical data, requiring an adequate number of data points to identify the strongest trend. By scrolling back and considering historical patterns, traders can make more informed trading decisions and identify potential entry or exit points.
When using the "Strongest Trendline" indicator, a higher Pearson's R value signifies a stronger trendline. The closer the Pearson's R value is to 1, the more reliable and robust the trendline is considered to be.
In conclusion, the "Strongest Trendline" indicator offers traders a robust method for identifying trendlines with significant predictive power. By utilizing a logarithmic scale and considering historical data, traders can unleash the full potential of this indicator and gain valuable insights into price trends. Trendlines, when used in conjunction with other technical analysis tools, can help traders make more informed decisions in the dynamic world of financial markets.
