Trend Flow Profile [AlgoAlpha]Description:
The "Trend Flow Profile" indicator is a powerful tool designed to analyze and interpret the underlying trends and reversals in a financial market. It combines the concepts of Order Flow and Rate of Change (ROC) to provide valuable insights into market dynamics, momentum, and potential trade opportunities. By integrating these two components, the indicator offers a comprehensive view of market sentiment and price movements, facilitating informed trading decisions.
Rationale:
The combination of Order Flow and ROC in the "Trend Flow Profile" indicator stems from the recognition that both factors play critical roles in understanding market behavior. Order Flow represents the net buying or selling pressure in the market, while ROC measures the rate at which prices change. By merging these elements, the indicator captures the interplay between market participants' actions and the momentum of price movements, enabling traders to identify trends, spot reversals, and gauge the strength of price acceleration or deceleration.
Calculation:
The Order Flow component is computed by summing the volume when prices move up and subtracting the volume when prices move down. This cumulative measure reflects the overall order imbalance in the market, providing insights into the dominant buying or selling pressure.
The ROC component calculates the percentage change in price over a given period. It compares the current price to a previous price and expresses the change as a percentage. This measurement indicates the velocity and direction of price movement, allowing traders to assess the market's momentum.
How to Use It?
The "Trend Flow Profile" indicator offers valuable information to traders for making informed trading decisions. It enables the identification of underlying trends and potential reversals, providing a comprehensive view of market sentiment and momentum. Here are some key ways to utilize the indicator:
Spotting Trends: The indicator helps identify the prevailing market trend, whether bullish or bearish. A consistent positive (green) histogram indicates a strong uptrend, while a consistent negative (red) histogram suggests a robust downtrend.
Reversal Signals: Reversal patterns can be identified when the histogram changes color, transitioning from positive to negative (or vice versa). These reversals can signify potential turning points in the market, highlighting opportunities for counter-trend trades.
Momentum Assessment: By observing the width and intensity of the histogram, traders can assess the acceleration or deceleration of price momentum. A wider histogram suggests strong momentum, while a narrower histogram indicates a potential slowdown.
Utility:
The "Trend Flow Profile" indicator serves as a valuable tool for traders, providing several benefits. Traders can easily identify the prevailing market trend, enabling them to align their trading strategies with the dominant direction of the market. The indicator also helps spot potential reversals, allowing traders to anticipate market turning points and capture counter-trend opportunities. Additionally, the green and red histogram colors provide visual cues to determine the optimal duration of a long or short position. Following the green histogram signals when in a long position and the red histogram signals when in a short position can assist traders in managing their trades effectively. Moreover, the width and intensity of the histogram offer insights into the acceleration or deceleration of momentum. Traders can gauge the strength of price movements and adjust their trading strategies accordingly. By leveraging the "Trend Flow Profile" indicator, traders gain a comprehensive understanding of market dynamics, which enhances their decision-making and improves their overall trading outcomes.
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Trend Strength GaugeTrend Strength Gauge with Modified Hull Moving Average (HMA)
Overview:
The indicator combines a modified Hull Moving Average (HMA) with a visual gauge that represents the strength and direction of the current trend. This helps traders quickly assess the trend's vigor and direction.
Key Features:
Modified Hull Moving Average (HMA):
Purpose: The HMA is a smoothed moving average designed to reduce lag and provide more responsive trend signals.
The indicator displays two HMA line and SMA line on the chart and fill color between them
based on HMA is above SMA or not.
Trend Strength Gauge:
Visualization: Below the chart, there's a gauge represented by gradient line gauge with "V" symbol.
The gauge line change color based on the direction of the trend.
Additionally, symbol "V" moves from solid color to transparent, indicating the trend's strength gradient.
Up Trend:
Dn Trend:
Trend Assessment:
When "V" at the strong teal collor it represents a strong positive trend (uptrend).
When "V" at the strong white collor it Indicates a strong negative trend (downtrend).
Arrow Movement: The symbol 'V' transitions from a solid color (teal or white) to a more transparent shade based on the strength of the trend.
Usage:
Trend Confirmation: Traders can use this indicator to confirm trends and assess their strength before making trading decisions.
Entry/Exit Points: The changing colors and transparency levels of the 'V' symbols can assist in identifying potential entry or exit points.
Can be used as a simple Hull indicator
This combined indicator simplifies trend analysis by offering an easily understandable visual representation of trend strength and direction.
Remember, while indicators are valuable tools, successful trading requires a comprehensive approach that incorporates multiple sources of information and risk management strategies.
Always exercise caution, apply critical thinking, and consider the broader market context when using indicators to make informed trading decisions.
Trend Line Adam Moradi v1 (Tutorial Content)
The Pine Script strategy that plots pivot points and trend lines on a chart. The strategy allows the user to specify the period for calculating pivot points and the number of pivot points to be used for generating trend lines. The user can also specify different colors for the up and down trend lines.
The script starts by defining the input parameters for the strategy and then calculates the pivot high and pivot low values using the pivothigh() and pivotlow() functions. It then stores the pivot points in two arrays called trend_top_values and trend_bottom_values. The script also has two arrays called trend_top_position and trend_bottom_position which store the positions of the pivot points.
The script then defines a function called add_to_array() which takes in three arguments: apointer1, apointer2, and val. This function adds val to the beginning of the array pointed to by apointer1, and adds bar_index to the beginning of the array pointed to by apointer2. It then removes the last element from both arrays.
The script then checks if a pivot high or pivot low value has been calculated, and if so, it adds the value and its position to the appropriate arrays using the add_to_array() function.
Next, the script defines two arrays called bottom_lines and top_lines which will be used to store trend lines. It also defines a variable called starttime which is set to the current time.
The script then enters a loop to calculate and plot the trend lines. It first deletes any existing trend lines from the chart. It then enters two nested loops which iterate over the pivot points stored in the trend_bottom_values and trend_top_values arrays. For each pair of pivot points, the script calculates the slope of the line connecting them and checks if the line is a valid trend line by iterating over the price bars between the two pivot points and checking if the line is above or below the close price of each bar. If the line is found to be a valid trend line, it is plotted on the chart using the line.new() function.
Finally, the script colors the trend lines using the colors specified by the user.
Tutorial Content
'PivotPointNumber' is an input parameter for the script that specifies the number of pivot points to consider when calculating the trend lines. The value of 'PivotPointNumber' is set by the user when they configure the script. It is used to determine the size of the arrays that store the values and positions of the pivot points, as well as the number of pivot points to loop through when calculating the trend lines.
'up_trend_color' is an input parameter for the script that specifies the color to use for drawing the trend lines that are determined to be upward trends. The value of 'up_trend_color' is set by the user when they configure the script and is passed to the color parameter of the line.new() function when drawing the upward trend lines. It determines the visual appearance of the upward trend lines on the chart.
'down_trend_color' is an input parameter for the script that specifies the color to use for drawing the trend lines that are determined to be downward trends. The value of 'down_trend_color' is set by the user when they configure the script and is passed to the color parameter of the line.new() function when drawing the downward trend lines. It determines the visual appearance of the downward trend lines on the chart.
'pivothigh' is a variable in the script that stores the value of the pivot high point. It is calculated using the pivothigh() function, which returns the highest high over a specified number of bars. The value of 'pivothigh' is used in the calculation of the trend lines.
'pivotlow' is a variable in the script that stores the value of the pivot low point. It is calculated using the pivotlow() function, which returns the lowest low over a specified number of bars. The value of 'pivotlow' is used in the calculation of the trend lines.
'trend_top_values' is an array in the script that stores the values of the pivot points that are determined to be at the top of the trend. These are the pivot points that are used to calculate the upward trend lines.
'trend_top_position' is an array in the script that stores the positions (i.e., bar indices) of the pivot points that are stored in the 'trend_top_values' array. These positions correspond to the locations of the pivot points on the chart.
'trend_bottom_values' is an array in the script that stores the values of the pivot points that are determined to be at the bottom of the trend. These are the pivot points that are used to calculate the downward trend lines.
'trend_bottom_position' is an array in the script that stores the positions (i.e., bar indices) of the pivot points that are stored in the 'trend_bottom_values' array. These positions correspond to the locations of the pivot points on the chart.
apointer1 and apointer2 are variables used in the add_to_array() function, which is defined in the script. They are both pointers to arrays, meaning that they hold the memory addresses of the arrays rather than the arrays themselves. They are used to manipulate the arrays by adding new elements to the beginning of the arrays and removing elements from the end of the arrays.
apointer1 is a pointer to an array of floating-point values, while apointer2 is a pointer to an array of integers. The specific arrays that they point to depend on the arguments passed to the add_to_array() function when it is called. For example, if add_to_array(trend_top_values, trend_top_posisiton, pivothigh) is called, then apointer1 would point to the tval array and apointer2 would point to the tpos array.
'bottom_lines' (short for "Bottom Lines") is an array in the script that stores the line objects for the downward trend lines that are drawn on the chart. Each element of the array corresponds to a different trend line.
'top_lines' (short for "Top Lines") is an array in the script that stores the line objects for the upward trend lines that are drawn on the chart. Each element of the array corresponds to a different trend line.
Both 'bottom_lines' and 'top_lines' are arrays of type "line", which is a data type in PineScript that represents a line drawn on a chart. The line objects are created using the line.new() function and are used to draw the trend lines on the chart. The variables are used to store the line objects so that they can be manipulated and deleted later in the script.
Loops
maxline is a variable in the script that specifies the maximum number of trend lines that can be drawn on the chart. It is used to determine the size of the bottom_lines and top_lines arrays, which store the line objects for the trend lines.
The value of maxline is set to 3 at the beginning of the script, meaning that at most 3 trend lines can be drawn on the chart at a time. This value can be changed by the user if desired by modifying the assignment statement "maxline = 3".
'count_line_low' (short for "Count Line Low") is a variable in the script that keeps track of the number of downward trend lines that have been drawn on the chart. It is used to ensure that the maximum number of trend lines (as specified by the maxline variable) is not exceeded.
'count_line_high' (short for "Count Line High") is a variable in the script that keeps track of the number of upward trend lines that have been drawn on the chart. It is used to ensure that the maximum number of trend lines (as specified by the maxline variable) is not exceeded.
Both 'count_line_low' and 'count_line_high' are initialized to 0 at the beginning of the script and are incremented each time a new trend line is drawn. If either variable exceeds the value of maxline, then no more trend lines are drawn.
'pivot1', 'up_val1', 'up_val2', up1, and up2 are variables used in the loop that calculates the downward trend lines in the script. They are used to store intermediate values during the calculation process.
'pivot1' is a loop variable that is used to iterate through the pivot points (stored in the trend_bottom_values and trend_bottom_position arrays) that are being considered for use in the trend line calculation.
'up_val1' and 'up_val2' are variables that store the values of the pivot points that are used to calculate the downward trend line.
up1 and up2 are variables that store the positions (i.e., bar indices) of the pivot points that are stored in 'up_val1' and 'up_val2', respectively. These positions correspond to the locations of the pivot points on the chart.
'value1' and 'value2' are variables that are used to store the values of the pivot points that are being compared in the loop that calculates the trend lines in the script. They are used to determine whether a trend line can be drawn between the two pivot points.
For example, if 'value1' is the value of a pivot point at the top of the trend and 'value2' is the value of a pivot point at the bottom of the trend, then a trend line can be drawn between the two points if 'value1' is greater than 'value2'. The values of 'value1' and 'value2' are used in the calculation of the slope and intercept of the trend line.
'position1' and 'position2' are variables that are used to store the positions (i.e., bar indices) of the pivot points that are being compared in the loop that calculates the trend lines in the script. They are used to determine the distance between the pivot points, which is necessary for calculating the slope of the trend line.
For example, if 'position1' is the position of a pivot point at the top of the trend and 'position2' is the position of a pivot point at the bottom of the trend, then the distance between the two points is given by 'position1' - 'position2'. This distance is used in the calculation of the slope of the trend line.
'different', 'high_line', 'low_location', 'low_value', and 'valid' are variables that are used in the loop that calculates the downward trend lines in the script. They are used to store intermediate values during the calculation process.
'different' is a variable that stores the slope of the downward trend line being calculated. It is calculated as the difference in value between the two pivot points (stored in up_val1 and up_val2) divided by the distance between the pivot points (calculated using their positions, stored in up1 and up2).
'high_line' is a variable that stores the current value of the trend line being calculated at a given point in the loop. It is initialized to the value of the second pivot point (stored in up_val2) and is updated on each iteration of the loop using the value of different.
'low_location' is a variable that stores the position (i.e., bar_index) on the chart of the point where the trend line being calculated first touches the low price. It is initialized to the position of the second pivot point (stored in up2) and is updated on each iteration of the loop if the trend line touches a lower low.
'low_value' is a variable that stores the value of the trend line at the point where it first touches the low price. It is initialized to the value of the second pivot point (stored in up_val2) and is updated on each iteration of the loop if the trend line touches a lower low.
'valid' is a Boolean variable that is used to indicate whether the trend line being calculated is valid. It is initialized to true and is set to false if the trend line does not pass through all the lows between the pivot points. If valid is still true after the loop has completed, then the trend line is considered valid and is drawn on the chart.
d_value1, d_value2, d_position1, and d_position2 are variables that are used in the loop that calculates the upward trend lines in the script. They are used to store intermediate values during the calculation process.
d_value1 and d_value2 are variables that store the values of the pivot points that are used to calculate the upward trend line.
d_position1 and d_position2 are variables that store the positions (i.e., bar indices) of the pivot points that are stored in d_value1 and d_value2, respectively. These positions correspond to the locations of the pivot points on the chart.
The variables d_value1, d_value2, d_position1, and d_position2 have the same function as the variables uv1, uv2, up1, and up2, respectively, but for the calculation of the upward trend lines rather than the downward trend lines. They are used in a similar way to store intermediate values during the calculation process.
thank you.
Trend-Quality IndicatorBINANCE:BTCUSDT
Open source version of the Trend-Quality Indicator as described by David Sepiashvili in [ Stocks & Commodities V. 22:4 (14-20) ]
Q-Indicator and B-Indicator are available both separately or together
█ OVERVIEW
The Trend-Quality indicator is a trend detection and estimation tool that is based on a two-step filtering technique. It measures cumulative price changes over term-oriented semicycles and relates them to “noise”. The approach reveals congestion and trending periods of the price movement and focuses on the most important trends, evaluating their strength in the process. The indicator is presented in a centered oscillator (Q-Indicator) and banded oscillator format (B-Indicator).
Semicycles are determined by using a short term and a longer term EMAs. The starting points for the cycles are determined by the moving averages crossover.
Cumulative price change (CPC) indicator measures the amount that the price has changed from a fixed starting point within a given semicycle. The CPC indicator is calculated as a cumulative sum of differences between the current and previous prices over the period from the fixed starting point.
The trend within the given semicycle can be found by calculating the moving average of the cumulative price change.
The noise can be defined as the average deviation of the cumulative price change from the trend. To determine linear noise, we calculate the absolute value of the difference between CPC and trend, and then smooth it over the n-point period. The root mean square noise, similar to the conventional standard deviation, can be derived by summing the squares of the difference between CPC and trend over each of the preceding n-point periods, dividing the sum by n, and calculating the square root of the result.
█ Q-INDICATOR
The Q-Indicator is a centered oscillator that fluctuates around a zero line with no upper or lower limits, is calculated by dividing trend by noise.
The Q-Indicator is intended to measure trend activity. The further the Q is from 0, the less the risk of trading with a trend, and the more reliable the trading opportunity. Values exceeding +2 or -2 can be qualified as promising
Values:
in the -1 to +1 range (GRAY) indicate that the trend is buried beneath noise. It is preferable to stay out of this zone
in the +1 to +2 or -1 to -2 range (YELLOW) indicate weak trending
in the +2 to +5 range (BLUE) or -2 to -5 range (ORANGE) indicate moderate trending
above +5 range (GREEN) or below -5 (RED) indicate strong trending
Readings exceeding strong trending levels can indicate overbought or oversold conditions and signal that price action should be monitored closely.
█ B-INDICATOR
The B-Indicator is a banded oscillator that fluctuates between 0 and 100, is calculated by dividing the absolute value of trend by noise added to absolute value of trend, and scaling the result appropriately.
The B-indicator doesn’t show the direction of price movement, but only the existence of the trend and its strength. It requires additional tools for reversal manifestations.
The indicator’s interpretation is simple. The central line suggests that the trend and noise are in equilibrium (trend is equal to noise).
Values:
below 50 (GRAY) indicate ranging market
in the 50 to 65 range (YELLOW) indicate weak trending
in the 65 to 80 range (BLUE) indicate moderate trending
above 80 (GREEN) indicate strong trending
The 65 level can be thought of as the demarcation line of trending and ranging markets and can help determine which type of technical analysis indicator (lagging or leading) is better suited to current market conditions. Readings exceeding strong trending levels can indicate overbought or oversold conditions.
Trendlines with Breaks [LuxAlgo]The trendlines with breaks indicator return pivot point based trendlines with highlighted breakouts. Users can control the steepness of the trendlines as well as their slope calculation method.
Trendline breakouts occur in real-time and are not subject to backpainting. Trendlines can however be subject to repainting unless turned off from the user settings.
The indicator includes integrated alerts for trendline breakouts.
🔶 USAGE
Any valid trendlines methodology can be used with the indicator, users can identify breakouts in order to infer future price movements.
The calculation method of the slope greatly affects the trendline's behaviors. By default, an average true range is used, returning a more constant slope amongst trendlines. Other methods might return trendlines with significantly different slopes.
Stdev makes use of the standard deviation for the slope calculation, while Linreg makes use of the slope of a linear regression.
The above chart shows the indicator using "Stdev" as a slope calculation method. The chart below makes use of the "Linreg" method.
By default trendlines are subject to backpainting, and as such are offset by length bars in the past. Disabling backpainting will not offset the trendlines.
🔶 SETTINGS
Length: Pivot points period
Slope: Slope steepness, values greater than 1 return a steeper slope. Using a slope of 0 would be equivalent to obtaining levels.
Slope Calculation Method: Determines how the slope is calculated.
Backpaint: Determine whether trendlines are backpainted, that is offset to past.
Trend ChannelMarket engineers can use channels to find out when a market has entered an undervalued or overvalued zone. Purchases and sales take place in these zones. Professionals use trending channels to find out when the market has overtaken itself and where it is likely to reverse.
Upper channel line = EMA + EMA x channel coefficient
Lower channel line = EMA - EMA x channel coefficient
The topline reflects the bulls' strength in raising prices above the average value consensus. This line marks the normal limit of optimism in the market.
The bottom line of the channel reflects the strength of the bears pushing prices below the average consensus of values. This line marks the normal limit of pessimism in the market.
The coefficient is used to correct the distance to the moving average until the channel contains 95% of all prices. Only the tips and the lowest bottoms are allowed to protrude. For these peaks and curves and sideways trends, I have added two more switchable lines to the border lines, with a distance of 23.6% (light blue).
The larger the time frame, the wider the channel.
If you buy near a rising moving average, you take profits near the upper line of the channel.
If you are short near a falling moving average, you should close out near the bottom of the channel.
If the moving average is essentially flat, then you should be long on the bottom of the channel and short on the top of the channel. You realize profits when the prices have returned to their moving average to normal.
Interesting for day traders:
Adjust the moving average so that it has the same slope as the quotes on the hourly chart. With the coefficient you set the distance between the border lines. Perhaps adding the 23.6% lines will help, where the sideways trends are starting. Set the resolution to "1 hour". If you want to trade with these settings in short time units, e.g. in the 3 minute chart or in the 1 minute chart, then you now have target marks and indications in which direction the prices will possibly move when the prices have reached the moving average or one of the border lines.
The text contains excerpts from "Come into my Trading Room" by Dr. Alexander Elder.
The indicator has an additional exponential moving average with adjustable period, adjustable shift and adjustable source for the narrow range of quotations and final determination of direction.
The chart shows how the trend channel and the Fibonacc trading indicator can complement each other.
The text contains excerpts from "Come into my Trading Room" by Dr. Alexander Elder.
Markttechniker können Kanäle verwenden um heraus zu finden, wann ein Markt eine unterbewertete oder überbewertete Zone erreicht hat. An diesen Zonen finden Käufe und Verkäufe statt. Profis benutzen Trendkanäle um herauszufinden, wann der Markt sich selbst überholt hat und wo er wahrscheinlich eine Umkehrbewegung vollziehen wird.
Obere Kanallinie = EMA + EMA x Kanalkoeffizient
Untere Kanallinie = EMA - EMA x Kanalkoeffizient
Die Oberlinie reflektiert die Kraft der Bullen, mit der sie die Kurse über den durchschnittlichen Wertekonsens anheben. Diese Linie kennzeichnet die normale Grenze des Optimismus im Markt.
Die untere Linie des Kanals reflektiert die Kraft der Bären, mit der sie die Kurse unter den durchschnittlichen Wertekonsens drücken. Diese Linie kennzeichnet die normale Grenze des Pessimismus im Markt.
Mit dem Koeffizienten wird der Abstand zum gleitenden Durchschnitt so lange korrigiert, bis der Kanal 95% aller Kurse enthält. Lediglich die Spitzen und die niedrigsten Böden dürfen herausragen. Für diese Spitzen und Bögen und Seitwärtstrends habe ich zu den Grenzlinien zwei weitere zuschaltbare Linien, mit einem Abstand von 23,6%, hinzugefügt (hellblau).
Je größer der Zeitrahmen ist, um so breiter ist der Kanal.
Wenn Sie in der Nähe eines ansteigenden gleitenden Durchschnitts kaufen, nehmen Sie die Gewinne in der Nähe der oberen Grenzlinie des Kanals mit.
Wenn Sie in der Nähe eines fallenden gleitenden Durchschnitts leerverkaufen, sollten Sie in der Nähe der unteren Grenzlinie des Kanals glattstellen.
Wenn der gleitende Durchschnitt im Wesentlichen flach ist, dann sollten Sie an der unteren Kanalbegrenzung eine Long-Position und an der oberen Kanalbegrenzung eine Short-Position einnehmen. Gewinne realisieren Sie jeweils, wenn die Kurse zu ihrem gleitenden Durchschnitt, zur Normalität zurückgekehrt sind.
Für Daytrader interessant:
Stellen Sie den gleitenden Durchschnitt so ein, dass er die gleiche Steigung wie die Notierungen im Stunden-Chart hat. Mit dem Koeffizienten Stellen Sie den Abstand der Grenzlinien ein. Vielleicht hilft die Zuschaltung der 23,6%-Linien, wo die Seitwärtstrends anstoßen. Stellen Sie die Auflösung auf „1 Stunde“. Wenn Sie mit diesen Einstellungen in niedrigen Zeiteinheiten traden wollen, z.B. im 3 Minuten-Chart oder im 1 Minuten-Chart, dann haben Sie jetzt Zielmarken und Hinweise in welche Richtung die Notierungen möglicherweise laufen werden, wenn die Notierungen den gleitenden Durchschnitt oder eine der Grenzlinien erreicht haben.
Der Text enthält Auszüge aus „Come into my Trading Room“ von Dr. Alexander Elder.
Der Indikator besitzt zur engen Umfang der Notierungen und endgültigen Richtungsbestimmung einen zusätzlichen exponentiellen gleitenden Durchschnitt mit einstellbarer Periode, einstellbarer Verschiebung und einstellbarer Quelle.
Der Chart zeigt wie sich Trendkanal und Fibonacc-Trading-Indikator ergänzen könne.
Der Text enthält Auszüge aus „Come into my Trading Room“ von Dr . Alexander Elder.
Trend Indicator for Directional Trading (main)TIDT is a two-part trend-based indicator that aims to recognize the general direction and help you identify good opportunities for going long or short. This is the main indicator that is plotted on the chart and is comprised of 3 Moving Averages over which you have full control. You can choose between the following 7 types:
- Simple Moving Average (SMA)
- Exponential Moving Average (EMA)
- Weighted Moving Average (WMA)
- Running Moving Average (RMA)
- Hull Moving Average (HMA)
- Volume Weighted Moving Average (VWMA)
- Arnaud Legoux Moving Average (ALMA)
For clarity of the trend whenever a fast MA crosses up or down a slower MA, the slower one changes its color. The faster MA changes color based on its direction.
Depending on your MA preferences and their period, you generate two main signal types:
1) Moving Average Bounce Signals - You will get a signal whenever the price bounces off, nearly touches or pierces your first MA (depending on your settings as described below)
2) Pullback / Retracement Signals - You will get a signal whenever a trend is established and the price retraces, thus giving you an optimal entry.
I've included 3 additional settings that you can tweak in order to reduce the noise or get more signals, all depending on your risk tolerance and trading style. Configuring these settings will filter the results you get in "Moving Average Bounce Signals". They are as follows:
1) Trend Strength - identifies ranging areas and helps you avoid choppy markets. The higher number, the stronger the trend must be for a signal.
2) Buffer Zone - allows you to receive a signal whenever price approaches your first MA. This way you will not miss a signal if the price doesn't bounce off your MA, or it will notify you in advance of a possible bounce/breakdown.
3) Max Candles Beyond MA - gives you a signal even if the price doesn't bounce off your first MA, but goes through it and then goes back up. You can select how many candles can close beyond the MA before invalidating the signal. Currently, the maximum number of candles that can close beyond the first MA is 5. This is done for your own practicality.
Almost all available options can be configured including the colors of the different signals - Bounces, Pullbacks, MA piercing depending on the number of candles, etc.
The second part of the indicator (called the same way with "add-on" at the end) is meant to complement this one and show additional trending signals, as well as Bull and Bear Divergences. For better results, both indicators must be used at the same time.
Please, note that like any other indicator, this one does exactly this - it indicates a good possibility of an entry, but does not guarantee profitability. Any indicator must be used as part of a system and strict money-management rules.
If you have any questions regarding the indicator or suggestions on how it could be improved, please let me know in the comment section below. Thank you.
[Trend] Support- & Resistance Levels/Zones (Expo)- Trend - Support & Resistance Levels/Zones (Expo) automatically identifies and displays support and resistance levels based on the direction of the trend.
Levels/Zones are displayed where there is a high probability that price will find Support in positive trends and Resistance in negative trends.
Trend Cloud and Trend Detection Line can be enabled.
The indicator can be used standalone or as a part of your current trading strategy.
Real-time
No repainting
Works on any market
HOW TO USE
1. Use the indicator to identify where the price can find support and resistance Levels/Zones in trends.
2. Use the indicator to identify the trend direction.
INDICATOR IN ACTION
4 hour chart
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continually work on this indicator, so please share your experience and feedback as it will enable me to make even better improvements. Thanks to everyone that has already contacted me regarding my scripts. Your feedback is valuable for future developments!
ACCESS THE INDICATOR
• Contact me on TradingView or use the links below
-----------------
Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas 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, 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 are only for educational purposes!
Trend FollowerHello Traders!
While analysing the charts, one of the biggest problem is to see if there is trend or not, or is it in a congestion zone/area? While thinking about it, I found the idea to analyse moving averages in channel and their momentum according to channel width.
How it calculates and works?
On each bar it creates a channel by highest/lowest point of a MA. highest point is upper point and lowest point is lower point of the MA channel,
It gets highest and lowest point of last 300 bars, (say Price Channel )
If the width of MA channel is greater than certain rate of price channel then it decides there is trend
After it decided there is trend, it calculates the rate between channel and MA. Bigger result means stronger trend.
According to rate of MA channel and the price channel , bar color becomes lighter/darker. so when you look at the bar color you can see the trend strength.
Short explanation on the chart:
Also by changing channel or size other options (such MA length etc) you can see congestion zones/areas:
Another one, about trend direction and its strength:
Options:
You can choose following MA types as source: EMA, SMA , RMA, WMA , VWMA
"Period to Check Trend" is the period to create MA channel. Bigger period cause more sensitivity.
MA Period is the Length of the MA that will be checked
"Trend Channel Rate %" is rate of price channel . Price channel created by using highest/lowest of last 300 bars. I did this to make the script works on all time frames correctly.
"Use Linear Regression" is used to get rid of noise. it may cause 1-2 bars latency. (I use it)
The idea was created by LonesomeTheBlue.
Enjoy!
TrendFollower - v1.0This script is based on trend following and attempts to capture the larger trends for an asset. Works on BTCUSD, ALTUSD and ALTBTC pairs alike as the crypto market is largely momentum based.
Perfectly suited for long-term trades.
Trend followerThis indicator is a trend follower that uses exponential moving averages to estimate the trend strength and prints a BUY label every time that price action matches the algorithm conditions. Always wait for the closure of the current candle to confirm the conditions match.
Ideally, the trade should be taken with a BUY STOP order placed above the signal candle and a STOP LOSS below the most recent swing low; make sure you allow enough room for the trade to breathe.
For additional resources, follow my YouTube channel .
You can also join my Facebook group or PM me directly here on Tradingview.
Trend LengthScript tries to capture the length of trends. It calculates an SMA and then determines the slope of the SMA using a simple momentum function. From there it counts bars from when the slope changed directions last. The lime green line is the count from when the slope changed. The yellow line is the average time of a trend. The white line is "trying" to capture the length of a full healthy pip running trend. Pick and SMA you like and then run through many currencies. I find that trends tend to be the same length. Not surprising as the markets are extremely correlated to each other. The trick is to find the most active pair for action. To do that look up my Pairs Range script.
Comments are welcome.
Trend TraderThe Trend Trader indicator is a trend-following tool based on a triple EMA (Exponential Moving Average) setup designed to help traders identify market direction and potential reversal zones. It plots three customizable EMAs on the chart to highlight bullish and bearish momentum, then generates trade signals when price shows a strong likelihood of continuing in the direction of the prevailing trend.
EMA Alignment: The indicator checks for bullish stacking (fast EMA above medium, medium above slow) and bearish stacking (fast EMA below medium, medium below slow). This alignment defines the prevailing market trend.
Trend Validation: A user-defined lookback period ensures signals are only taken if the market recently displayed a stacked trend, thus filtering false entries during consolidations.
Signal Generation: Buy signals appear when price dips into the zone between the fast and medium EMAs during a bullish trend. Sell signals appear when price rallies into the zone between the fast and medium EMAs during a bearish trend.
Alerts: Built-in alerts notify traders of new trade opportunities without having to constantly watch the chart.
This indicator is suitable for swing trading and intraday strategies across multiple markets, including forex, stocks, indices, and crypto.
Suggested Strategy for Profitability
This tool is best used as part of a structured trend-trading plan. Below is a suggested framework:
Entry Rules
Long (Buy Trade):
Confirm that EMA alignment is bullish (EMA1 > EMA2 > EMA3).
Wait for a Buy Signal (triangle up below price).
Ensure the higher timeframe (e.g., 4H if trading 1H) trend is also bullish to filter trades.
Short (Sell Trade):
Confirm EMA alignment is bearish (EMA1 < EMA2 < EMA3).
Wait for a Sell Signal (triangle down above price).
Higher timeframe should also be bearish to increase probability.
Stop Loss
For long positions, place the stop loss just below EMA3 or the most recent swing low.
For short positions, place the stop loss just above EMA3 or the most recent swing high.
Take Profit
Conservative: Set TP at 1.5x to 2x the stop loss distance.
Aggressive: Trail stop loss below EMA2 (for longs) or above EMA2 (for shorts) to capture larger trends.
Risk Management
Use no more than 1–2% of account risk per trade.
Trade only when the signal aligns with overall market context (higher timeframe, support/resistance, or volume confirmation).
This indicator is very similar to the indicator "Trend Scalper" by the same developer, the difference is this indicator is used to just find the trade and hold the trade or to find the reversal of a trend instead of triggering alerts every time price enters between EMA1 and EMA2.
Trend Lines (only lines)[matteovesperi]Indicator Overview
The indicator, developed by matteovesperi, is an overlay tool that plots trend lines on price charts. It is designed to identify and connect pivot highs and lows over short-term, intermediate-term, and long-term periods, providing a visual representation of trends and potential support/resistance levels. The indicator is customizable, with options to adjust periods, toggle visibility, and manage performance for efficient use.
Key Points
The indicator plots trend lines based on pivot points for short-term, intermediate-term, and long-term periods.
It seems likely that it helps visualize trends and support/resistance levels across different time frames.
Research suggests users can customize periods and toggle line/label visibility for analysis.
Overview
This indicator overlays on price charts to show trend lines connecting pivot highs and lows, identified over customizable short, intermediate, and long-term periods. It uses color-coded lines for each period and allows toggling visibility.
Functionality
It detects pivots using lookback periods (e.g., default 3 for short-term, 15 for intermediate, 40 for long-term), draws lines between consecutive pivots, and can display prioritized labels. Lines are managed for performance, removing oldest when exceeding limits.
Usage
The indicator is particularly useful for traders and technical analysts seeking to understand trends across different time frames. By observing the direction and slope of the trend lines, users can gauge the strength and direction of trends. The pivot points and connecting lines can act as dynamic support and resistance levels, aiding in decision-making for entry and exit points.
The multi-timeframe capability allows for a comprehensive analysis, combining short-term price movements with longer-term trends. For example, a trader might use short-term lines for day trading signals while referring to long-term lines for overall market direction. The customizable periods enable adaptation to various trading styles and asset characteristics, enhancing flexibility.
Customization and User Experience
Users can adjust the lookback periods to suit their trading strategy, with ranges ensuring practical sensitivity (e.g., short-term minimum of 1, long-term maximum of 100). The ability to toggle line and label visibility provides control over chart clutter, allowing focus on specific periods. Color settings, while defaulted, can be adjusted for better visualization, though the provided RGB values suggest a grayscale theme for consistency.
Trend Scanner ProTrend Scanner Pro, Robust Trend Direction and Strength Estimator
Trend Scanner Pro is designed to evaluate the current market trend with maximum robustness, providing both direction and strength based on statistically reliable data.
This indicator builds upon the core logic of a previous script I developed, called Best SMA Finder. While the original script focused on identifying the most profitable SMA length based on backtested trade performance, Trend Scanner Pro takes that foundation further to serve a different purpose: analyzing and quantifying the actual trend state in real time.
It begins by testing hundreds of SMA lengths, from 10 to 1000 periods. Each one is scored using a custom robustness formula that combines profit factor, number of trades, and win rate. Only SMAs with a sufficient number of trades are retained, ensuring statistical validity and avoiding curve fitting.
The SMA with the highest robustness score is selected as the dynamic reference point. The script then calculates how far the price deviates from it using rolling standard deviation, assigning a trend strength score from -5 (strong bearish) to +5 (strong bullish), with 0 as neutral.
Two detection modes are available:
Slope mode, based on SMA slope reversals
Bias mode, based on directional shifts relative to deviation zones
Optional features:
Deviation bands for visual structure
Candle coloring to reflect trend strength
Compact table showing real-time trend status
This tool is intended for traders who want an adaptive, objective, and statistically grounded assessment of market trend conditions.
Trend Harvester PRO Trend Harvester PRO – Adaptive Trend-Following Strategy for Crypto
Trend Harvester PRO is a fully systematic trend-following strategy built for cryptocurrency markets on intraday timeframes — particularly optimized for the 1-hour chart. The script combines ZLEMA-based trend tracking, momentum confirmation, and a volatility-aware filter to detect high-probability directional moves with clarity and precision.
This is not a mashup of random indicators — each component serves a specific purpose in validating trends, avoiding choppy zones, and timing entries responsibly.
🔍 Strategy Logic Overview
The core objective is to detect sustainable, real-time trends and exit with multi-stage profit targets. To do this, the script uses several layers of confirmation:
1. 📊 ZLEMA Trend Engine (Zero Lag EMA)
This is the backbone of the strategy.
ZLEMA (Zero-Lag EMA) is a moving average that minimizes lag by adjusting for past data offset.
The strategy uses a fast ZLEMA and a slow ZLEMA, combined with a slope calculation, to assess the current trend.
When:
Fast ZLEMA > Slow ZLEMA
The ZLEMA is rising (positive slope)
→ The market is considered in an uptrend.
Conversely, if:
Fast ZLEMA < Slow ZLEMA
The slope is negative
→ The market is considered in a downtrend.
This setup detects not just direction, but also whether the trend has meaningful acceleration.
2. ⚡ Momentum Confirmation
Trend direction alone isn’t enough — we also need momentum agreement.
The script calculates a smoothed Rate of Change (ROC) to evaluate if momentum supports the direction of the ZLEMA trend.
For long trades: ROC must be positive
For short trades: ROC must be negative
This prevents taking trades where price is crossing moving averages but lacks follow-through power.
3. 🌪️ Volatility Filter
Choppy markets are common in crypto. To reduce false signals:
The script compares short-term volatility (10-bar standard deviation of price changes) to longer-term volatility.
If the ratio is too high (i.e., short-term volatility is spiking), the strategy avoids entry.
This ensures trades are only taken when the market is relatively calm and directional — avoiding false breakouts.
4. 🧠 Confirmation Bars + Trend State
Signals only trigger after a certain number of consecutive bars confirm trend direction (confirmBars).
This prevents reacting to just 1 candle and requires consistent evidence of trend.
A state machine is used to track current trend status:
+1 = confirmed uptrend
-1 = confirmed downtrend
0 = neutral / no trade
This trend state changes only after all conditions are met and confirmation bars pass.
5. 🧊 Cooldown Enforcement
After a trade exits (from TP or a trend reversal), the strategy enforces a cooldown period before new entries are allowed. This:
Prevents back-to-back entries on trend flips
Reduces overtrading
Helps avoid whipsaws or same-bar reversal trades
6. 🎯 Multi-Level Take Profits (TP1 & TP2)
Once a trade is entered:
Two limit exits are set automatically:
TP1: Closes 50% of the position at a configurable profit level
TP2: Closes the remaining 50%
If the trend weakens before TP2 is reached, the position is closed early.
Both long and short trades use the same logic, with user-defined percentages.
This system allows for partial profit-taking while keeping a portion of the trade running.
7. 🧾 Built-in Dashboard
The script includes a real-time dashboard showing:
Trend direction: Bullish, Bearish, or Neutral
Whether TP1 / TP2 was hit
Entry price
If currently in a trade
How many bars the trade has been open
This helps monitor strategy performance at a glance without needing extra labels.
8. 🔔 Webhook-Compatible Alerts
The strategy includes custom alerts that can be used for:
Long and Short entries
TP1 and TP2 hits
Exiting trades
These can be integrated into automated bot systems or used manually.
🔒 Non-Repainting Logic
The strategy uses only confirmed bar data (i.e., values from closed bars).
There are no repainting indicators.
Entries and exits are placed using strategy.entry and strategy.exit on confirmed conditions.
✅ How to Use It
Apply the strategy to 1H altcoin charts (BTC, ETH, SOL, etc.).
Tune the TP percentages (longTP1Pct, longTP2Pct, etc.) based on volatility.
Use the dashboard to monitor trend state and trade progress.
Combine with additional tools (like support/resistance or volume) for higher confluence.
Use the date filter to run backtests over defined periods.
⚠️ Risk Management Notice
This strategy does not include stop losses by default. It is designed to exit based on trend reversal or take-profit limits.
Always backtest thoroughly and use realistic sizing.
Do not risk more than 5–10% of your account on any trade.
Past results do not guarantee future performance. This tool is for educational and research purposes.
🧬 What Makes This Original
Trend Harvester PRO was built from scratch with tightly integrated logic:
ZLEMA tracks early trend direction with low lag
ROC confirms momentum in the same direction
Volatility filter avoids false setups
Multi-bar confirmation and cooldown logic control trade pacing
Dual TP exits manage partial profit-taking
A live dashboard makes real-time tracking intuitive
Unlike mashups of indicators with no synergy, each component here directly supports the quality of trade decisions, and the logic is modular, transparent, and non-repainting.
Trend Targets [AlgoAlpha]OVERVIEW
This script combines a smoothed trend-following model with dynamic price rejection logic and ATR-based target projection to give traders a complete visual framework for trading trend continuations. It overlays on price and automatically detects potential trend shifts, confirms rejections near dynamic support/resistance, and displays calculated stop-loss and take-profit levels to support structured risk-reward management. Unlike traditional indicators that only show trend direction or signal entries, this tool brings together a unique mix of signal validation, volatility-aware positioning, and layered profit-taking to guide decision-making with more context.
CONCEPTS
The core trend logic is built on a custom Supertrend that uses an ATR-based band structure with long smoothing chains—first through a WMA, then an EMA—allowing the trend line to respond to major shifts while ignoring noise. A key addition is the use of rejection logic: the script looks for consolidation candles that "hug" the smoothed trend line and counts how many consecutive bars reject from it. This behavior often precedes significant moves. A user-defined threshold filters out weak tests and highlights only meaningful rejections.
FEATURES
Trend Detection : Automatically identifies trend direction using a smoothed Supertrend (WMA + EMA), with shape markers on trend shifts and color-coded bars for clarity.
Rejection Signals : Detects price rejections at the trend line after a user-defined number of consolidation bars; plots ▲/▼ icons to highlight strong continuation setups.
Target Projection : On trend confirmation, plots entry, stop-loss (ATR-based), and three dynamic take-profit levels based on customizable multiples.
Dynamic Updates : All levels (entry, SL, TP1–TP3) auto-adjust based on volatility and are labeled in real time on the chart.
Customization : Users can tweak trend parameters, rejection confirmation count, SL/TP ratios, smoothing lengths, and appearance settings.
Alerts : Built-in alerts for trend changes, rejection events, and when TP1, TP2, or TP3 are reached.
Chart Overlay : Plots directly on price chart with minimal clutter and clearly labeled levels for easy trading.
USAGE
Start by tuning the Supertrend factor and ATR period to fit your asset and timeframe—higher values will catch bigger swings, lower values catch faster moves. The confirmation count should match how tightly you want to filter rejection behavior—higher values make signals rarer but stronger. When the trend shifts, the indicator colors the bars and line accordingly, and if enabled, plots the full entry-TP-SL structure. Rejection markers appear only after enough qualifying bars confirm price pressure at the trend line. This is especially useful for continuation plays where price retests the trend but fails to break it. All calculations are based on volatility (ATR), so targets naturally adjust with market conditions. Add alerts to get notified of important signals even when away from the chart.
Trend Strength MeterThe Trend Strength Meter (TSM) is a powerful and versatile indicator designed to help traders identify market trends, measure their strength, and detect potential reversals with ease. This indicator combines the power of moving averages, divergence detection, and a clean, customizable dashboard to provide actionable insights for traders of all levels.
How It Works
Trend Strength Calculation:
1. The TSM calculates the trend strength using the difference between two Exponential Moving Averages (EMAs): a fast EMA (default: 20) and a slow EMA (default: 50).
2. The difference is expressed as a percentage of the slow EMA, providing a clear measure of the trend's strength and direction.
Histogram Visualization:
1. A color-coded histogram visually represents the trend strength:
Green: Bullish trend
Red: Bearish trend
Gray: Neutral or no significant trend
2. A smoothed trend strength line (SMA of the trend strength) is also plotted for better clarity.
Divergence Detection:
1. The indicator detects bullish and bearish divergences using the RSI (Relative Strength Index) and price action.
2. Bullish Divergence: Price makes a lower low, but RSI makes a higher low, signaling potential upward momentum.
3. Bearish Divergence: Price makes a higher high, but RSI makes a lower high, signaling potential downward momentum.
=> Divergences are marked with arrows on the chart:
Green Arrow: Bullish divergence
Red Arrow: Bearish divergence
Dashboard:
1. A clean and informative dashboard displays key information:
Trend Strength Value: The current strength of the trend
Trend Direction: Bullish, Bearish, or Neutral
Last Signal: Buy, Sell, or None (based on divergence signals)
The dashboard is fully customizable and can be positioned anywhere on the chart (e.g., top-right, bottom-left, center, etc.).
Key Features
1. Trend Strength Measurement: Quickly identify the strength and direction of the trend.
2. Divergence Detection: Spot potential reversals before they occur with bullish and bearish divergence signals.
3. Customizable Dashboard: Move the dashboard to your preferred location on the chart for better visibility.
4. User-Friendly Design: Clean visuals and intuitive color coding make it easy to interpret market conditions.
5. Actionable Signals: Provides clear Buy/Sell signals based on divergence, helping traders make informed decisions.
How to Use
1. Trend Confirmation:
Use the histogram and trend strength value to confirm the current market trend.
Green bars indicate a bullish trend, while red bars indicate a bearish trend.
2. Divergence Signals:
Look for divergence arrows (green for bullish, red for bearish) to anticipate potential reversals.
Combine divergence signals with other technical analysis tools for higher accuracy.
3. Dashboard Insights:
Monitor the dashboard for real-time updates on trend strength, direction, and the latest signal.
Use the "Last Signal" (Buy/Sell) to validate your trading decisions.
4. Custom Settings:
Adjust the EMA lengths and divergence lookback period to suit your trading style and timeframe.
Position the dashboard anywhere on the chart for convenience.
Best Practices
1. Use the TSM in conjunction with other indicators or price action analysis for confirmation.
2. Test the indicator on different timeframes to find the one that works best for your strategy.
3. Always practice proper risk management when trading.
Disclaimer
This indicator is a tool to assist in technical analysis and should not be used as a standalone trading strategy. Past performance is not indicative of future results. Always conduct your own research and consult with a financial advisor before making trading decisions.
Trend Magnet ProTrend Magnet Pro – Advanced Adaptive Trend & Oscillator Indicator
Overview:
Trend Magnet Pro is a powerful, fully customizable indicator that combines adaptive moving averages with a dynamic oscillator to provide a comprehensive view of market trends and potential reversal points. It integrates multiple analytical layers—volatility, volume, multi-timeframe analysis, and divergence detection—to help traders make informed decisions.
Key Features & Competitive Advantages:
Adaptive Moving Average (MA):
The indicator calculates an adaptive MA by blending your chosen MA type (SMA, EMA, WMA, VWMA, KAMA, or LSMA) with Kaufman’s Adaptive Moving Average (KAMA). This hybrid approach adjusts dynamically to market volatility, ensuring smoother trend detection and reducing noise during erratic periods.
Custom Oscillator Calculation:
A separate oscillator is computed based on the difference between the closing price and a dedicated oscillator MA. This difference is normalized using an ATR-based volatility measure and then smoothed with the Hull MA. This process enhances signal precision by filtering out minor fluctuations.
ATR & Volume Integration:
Using the Average True Range (ATR) for volatility and a volume spike detection mechanism, the indicator filters out weak signals. These features ensure that only significant market moves trigger trading signals.
Multi-Timeframe Analysis:
By incorporating an oscillator analysis on a higher timeframe, Trend Magnet Pro provides an extra layer of confirmation. This multi-timeframe approach improves the reliability of signals, making it easier to identify sustained trends.
Divergence Detection:
The indicator automatically detects bullish and bearish divergences between price movements and the oscillator. These divergences can serve as early warnings for potential trend reversals, adding further depth to your market analysis.
Visual Clarity & Customization:
Trend Magnet Pro offers:
A separate oscillator panel with color-coded histograms.
Overlay plots of the adaptive MA on the price chart.
Clear visual markers for buy and sell signals.
Adjustable parameters for pivot detection and oscillator pressure thresholds.
How to Use Trend Magnet Pro:
Main MA Settings:
Choose your preferred MA type and set the MA length for the main trend analysis.
The adaptive algorithm will blend this with KAMA based on current volatility.
Oscillator Settings:
Set the oscillator’s MA type and its smoothing length.
Fine-tune the oscillator parameters to match your trading style and market conditions.
Common Settings:
Define the ATR length for volatility measurement.
Adjust the volume multiplier and volume SMA period to enable volume spike detection.
Set the low and high pressure thresholds to determine oscillator color changes, reflecting different market pressures.
Multi-Timeframe & Divergence:
Optionally, select a higher timeframe for the oscillator to provide additional confirmation.
Enable divergence detection to highlight potential trend reversals based on price and oscillator pivots.
Signal Interpretation:
Buy Signal: Triggered when the oscillator crosses above zero, accompanied by volume spikes and confirmed by both multi-timeframe analysis and price being above the adaptive MA.
Sell Signal: Triggered under opposite conditions, where the oscillator crosses below zero and the price is below the adaptive MA.
By adjusting these settings, you can tailor Trend Magnet Pro to your specific market and trading strategy, making it an invaluable tool for both trend-following and reversal trading.
Русское Описание
Trend Magnet Pro – Индикатор Адаптивного Тренда и Осциллятора
Обзор:
Trend Magnet Pro – это мощный и полностью настраиваемый индикатор, который объединяет адаптивные скользящие средние с динамическим осциллятором для комплексного анализа рыночных трендов и потенциальных точек разворота. Он интегрирует несколько аналитических слоёв — волатильность, объём, мультитаймфреймовый анализ и детекцию дивергенций — что позволяет принимать обоснованные торговые решения.
Основные преимущества и функциональные возможности:
Адаптивная Скользящая Средняя (MA):
Индикатор рассчитывает адаптивную MA, комбинируя выбранный тип (SMA, EMA, WMA, VWMA, KAMA или LSMA) с Kaufman’s Adaptive Moving Average (KAMA). Такой гибридный подход динамически подстраивается под рыночную волатильность, обеспечивая более плавное определение трендов и снижая уровень шума в нестабильные периоды.
Кастомизированный Расчёт Осциллятора:
Осциллятор вычисляется отдельно на основе разницы между ценой закрытия и специально рассчитанной MA для осциллятора. Эта разница нормализуется с использованием ATR (Average True Range) для оценки волатильности и сглаживается при помощи Hull MA, что позволяет точнее фиксировать значимые сигналы и исключать мелкие колебания.
Интеграция ATR и Объёма:
Применение ATR для измерения волатильности в сочетании с механизмом обнаружения всплесков объёма позволяет отсеивать слабые сигналы. Эти функции гарантируют, что торговые сигналы возникают только при значительных движениях рынка.
Мультитаймфреймовый Анализ:
Встроенный анализ осциллятора на старшем таймфрейме даёт дополнительное подтверждение сигналов. Такой подход повышает надёжность сигналов, помогая выявлять устойчивые тренды.
Детекция Дивергенций:
Индикатор автоматически обнаруживает бычьи и медвежьи дивергенции между движением цены и осциллятором. Эти дивергенции могут служить ранним предупреждением о потенциальном развороте тренда, что добавляет глубины вашему анализу.
Удобство Визуализации и Настройки:
Trend Magnet Pro предлагает:
Отдельную панель осциллятора с цветными гистограммами.
Наложение адаптивной MA на график цены.
Чёткие визуальные сигналы для покупки и продажи.
Настраиваемые параметры для обнаружения пивотов и уровней давления осциллятора.
Как работать с Trend Magnet Pro:
Настройки Основной MA:
Выберите предпочитаемый тип MA и установите период для анализа основного тренда.
Адаптивный алгоритм объединит выбранную MA с KAMA на основе текущей волатильности.
Настройки Осциллятора:
Задайте тип MA для осциллятора и установите период сглаживания.
Подберите параметры осциллятора, чтобы он соответствовал вашему стилю торговли и рыночным условиям.
Общие Настройки:
Определите период ATR для измерения волатильности.
Настройте множитель объёма и период SMA объёма для обнаружения всплесков.
Установите пороги низкого и высокого давления, которые будут влиять на цветовую индикацию осциллятора и отражать рыночное давление.
Мультитаймфреймовый Анализ и Дивергенции:
При необходимости выберите старший таймфрейм для осциллятора, чтобы обеспечить дополнительное подтверждение сигналов.
Включите функцию детекции дивергенций для выявления потенциальных разворотов тренда на основе пивотов цены и осциллятора.
Интерпретация Сигналов:
Сигнал на покупку: Формируется, когда осциллятор пересекает ноль снизу вверх, подтверждаясь всплеском объёма, анализом на старшем таймфрейме и положением цены выше адаптивной MA.
Сигнал на продажу: Формируется при обратных условиях – когда осциллятор пересекает ноль сверху вниз, а цена находится ниже адаптивной MA.
Настройка параметров позволяет адаптировать Trend Magnet Pro под конкретный рынок и торговую стратегию, делая его незаменимым инструментом как для трендового анализа, так и для поиска разворотных сигналов.
Trend Hunter Scalping [Daddin Algo]Trend Hunter Scalping Strategy Description
This strategy is a comprehensive scalping system designed to capture high-frequency trading opportunities within short timeframes. It combines multiple technical indicators to assess trend direction, momentum, volatility, and volume dynamics. Importantly, all parameters are user-adjustable, allowing the strategy to be optimized for various market conditions and individual preferences.
Technical Indicators and Settings
EMA (Exponential Moving Average):
The EMA is calculated based on a user-defined period. Rather than being fixed (e.g., a 200-period EMA), the period is adjustable to suit different market conditions. The position of the price relative to the EMA helps confirm the overall trend.
RSI & RSIOver:
The Relative Strength Index (RSI) measures momentum and the speed of price changes. Entry signals are generated when the RSI crosses its moving average. Additionally, overbought and oversold thresholds (set by the user) add an extra layer of confirmation for the signals.
ADX:
The Average Directional Index (ADX) assesses the strength of the current trend. When the ADX is above a user-specified threshold, the signals are considered more reliable. This helps in filtering out signals during weak trending periods.
Bollinger Bands:
Bollinger Bands gauge market volatility. The settings—including the length and the multiplier—are adjustable, providing flexibility to accommodate tightening or expanding volatility conditions.
Parabolic SAR:
This indicator identifies dynamic support and resistance levels, confirming the trend direction and helping pinpoint potential entry and exit points.
Pivot Levels (Fibonacci):
Calculated from the previous period's high, low, and close, pivot points and Fibonacci levels indicate potential reversal points and serve as support and resistance levels. These levels provide context for setting trailing stops and managing risk.
Volume Filter:
A volume condition ensures that trading signals are only considered valid when the current volume exceeds a multiple of its short-term moving average. This filter is adjustable, helping to confirm the strength of the market move.
Daddin Line:
Derived from a short-term moving average of the closing prices with a user-defined offset, the Daddin Line acts as an additional confirmation tool. Its parameters can be customized to better align with specific trading environments.
Trading Logic and Management
Signal Direction and Entry:
The strategy can generate both long (buy) and short (sell) signals, or be limited to one direction based on user preference. Entry orders are executed when all the selected indicator conditions are met. Additionally, maximum consecutive trade limits are implemented to help control risk.
Exit & Take Profit:
Trades are exited automatically when a user-defined profit percentage is reached. This take-profit percentage is flexible, enabling adjustments to match different market conditions or trading goals.
Trailing Stop (Dynamic Stop Loss):
A trailing stop mechanism is implemented using Fibonacci pivot levels. Once a position is open, the stop loss is dynamically updated as the price moves favorably. This ensures that profits are protected while minimizing losses in case of a sudden reversal.
Additional Features and Backtesting
Time Filtering (Backtesting):
The strategy includes a date range filter for backtesting. Users can define the start and end dates to evaluate the strategy’s performance during specific market periods, making it easier to assess its historical effectiveness.
Customizable Parameters:
Every indicator and risk management setting is fully customizable. This adaptability allows traders to tailor the strategy to different assets, timeframes, and market environments, ensuring optimal performance across diverse trading scenarios.
Conclusion
The Trend Hunter Scalping strategy effectively integrates multiple technical indicators to validate trends and manage risks efficiently. Its highly flexible, user-adjustable parameters make it adaptable to varying market conditions, providing traders with a robust framework for capturing quick trading opportunities.This strategy is designed to optimize both entry and exit points while offering comprehensive risk management controls.
Trend Trading IndicatorTrend Trading Indicator – Pine Script v5
Overview
The Trend Trading Indicator is designed to help traders identify market trends quickly and effectively. It highlights uptrends and downtrends using Exponential Moving Averages (EMAs) and provides clear buy and sell signals. The indicator is especially useful for detecting insider movements, marketing-driven price pumps, and potential death spirals in crypto and stock markets.
Key Features
✅ Fast-acting trend detection based on EMAs
✅ Clear buy & sell signals marked in blue (BUY) and red (SELL)
✅ Trend zones visually highlighted:
Green for bullish trends (uptrend)
Red for bearish trends (downtrend)
✅ Bold and visible labels for buy and sell signals
✅ Protects against insider selling & marketing hype cycles
✅ Alerts for crossover events
How It Works
Exponential Moving Averages (EMAs)
Short EMA (default: 50-period) represents fast market movement.
Long EMA (default: 100-period) represents slower trends.
When short EMA crosses above long EMA, it signals a buy opportunity.
When short EMA crosses below long EMA, it signals a sell opportunity.
Trend Zones
The area between the two EMAs is color-filled for better trend visualization.
Green Fill: Indicates a bullish trend where short EMA is above long EMA.
Red Fill: Indicates a bearish trend where short EMA is below long EMA.
Buy & Sell Labels
Buy Signal: Blue label “BUY” appears below the candle.
Sell Signal: Red label “SELL” appears above the candle.
Text is in black & bold for better visibility.
Alerts
Custom alerts notify traders when buy or sell conditions occur.
How to Use
Works best in crypto, forex, and stock markets.
Can be used in trend-following or breakout strategies.
Best suited for medium to long-term trades (adjust EMA settings for scalping).
This Trend Trading Indicator helps traders stay ahead of the market by visually identifying strong trends while reducing risks from insider manipulation and death spirals. 🚀
Trend and Reversal ScannerHello Traders!
The TRN Trend and Reversal Scanner highlights in a user-friendly and easy to read table trend and reversal signals from up to 20 assets of your choosing. With it, you can efficiently monitor your preferred instruments simultaneously without jumping from one chart to the next. You will never miss a signal again. The indicator automatically finds swing-based up and down trends, bullish and bearish divergences, detects ranges and range breakouts as well as trend and reversal signals by the built-in trend detection algorithm called TRN Bars. Furthermore, you can conveniently stay updated with real-time alerts, notifying you whenever the scanner finds interesting market situations.
Feature List
Swing-based up and down trend detection
Divergence detection for any given (Custom) Indicator
Price range and breakout detection
Bar trend and reversal detection
Scanner alerts
The value of this indicator is to support traders to easily identify trend-based signals in an automated way and across many different markets at the same time. The trader saves a lot of time scanning the markets for up and down swings, divergences, consolidations and bar pattern-based trends and reversals, since finding and alerting these signals is done automatically for the trader.
For a visualization of the detected signals, you can add the TRN Bars and the Swing Suite indicator to your chart.
How does Trend Scanner work?
On the right side of the chart, you can find a table displaying the symbols monitored by the TRN Trend and Reversal Scanner for signal detection (first column). The table provides information on the status of each symbol. This visual representation allows you to quickly identify evolving signals across different symbols, helping you stay informed and make timely trading decisions.
The scanner operates specifically on the timeframe you are currently viewing, ensuring that the detected signals align precisely with your trading perspective.
In the following, we will describe the different signals displayed in the different columns of the table
Column 1 – Symbols
Column 2 – Bar Trend & Signals
Column 3 – Up & Down Swing Trend
Column 4 – Ranges & Range Breakouts
Column 5 – Bullish Divergences
Column 6 – Bearish Divergences
Bar Trend & Signals
In the second column, you can observe the status of TRN Bars, the built-in trend detection algorithm.
UP – Uptrend
DN – Downtrend
REV (Green) – Bullish Reversal Bar
REV (Red) – Bearish Reversal Bar
CON (Green) – Bullish Continuation Bar
CON (Red) – Bearish Continuation Bar
B/O (Green) – Bullish Range Breakout Bar
B/O (Red) – Bearish Range Breakout Bar
TRN Bars is designed to spot bullish and bearish trends and reversals. The trend analysis is based on a new algorithm that weights several different inputs:
classical and advanced bar patterns and their statistical frequency
probability distributions of price expansions after certain bar patterns
bar information such as wick length in %, overlapping of the previous bar in % and many more
historical trend and consolidation analysis
It provides high-probability trend continuation analysis and reversal detections.
Up and Downtrend
The second column (Trend) indicates whether the price of the asset moves within an uptrend (UP) or a downtrend (DN), as detected by our unique swing detection algorithm, on the selected timeframe.
The swing detection algorithm identifies pivot points (swings) with high accuracy. It works in real-time and does not need a look-a-head to find swings.
Ranges & Range Breakouts
The third column provides insights into the price behavior of a symbol within the selected timeframe, as analyzed by the range feature of the TRN Bars algorithm.
ACTIVE – Price moves within a price range
UP – Breakout detected
DN – Breakdown detected
UP CONF – Breakout confirmed
DN CONF – Breakdown confirmed
The bar range feature automatically finds consolidations where the price range of several consecutives bars is rather small. The detection of the bar ranges includes among other things the overlapping percentage of these bars.
Divergence Detection for any given (Custom) Indicator
The divergence detector finds with unrivaled precision bullish and bearish as well as regular and hidden divergences. The main difference compared to other divergences indicators is that this indicator finds rigorously the extreme peaks of each swing, both in price and in the corresponding indicator. This precision is unmatched and therefore this is one of the best divergences detectors.
The build in divergence detector works with any given indicator, even custom ones. In addition, there are 11 built-in indicators. Most noticeable is the cumulative delta indicator, which works astonishingly well as a divergence indicator. Full list:
External Indicator (see next section for the setup)
Awesome Oscillator (AO)
Commodity Channel Index (CCI)
Cumulative Delta Volume (CDV)
Chaikin Money Flow (CMF)
Moving Average Convergence Divergence (MACD)
Money Flow Index (MFI)
Momentum
On Balance Volume (OBV)
Relative Strength Index (RSI)
Stochastic
Williams Percentage Range (W%R)
Another highlight of the divergence detection is that it works with every indicator, even custom ones. To do this, you must add the (custom) indicator to your chart. Afterwards, simply go to the “Divergence Detection” section in the indicator settings and choose "External Indicator". If the custom indicator has one reference value, then choose this value in the “External Indicator (High)” field. If there are high and low values (e.g. candles), then you also must set the “External Indicator Low” field.
The visualization of the divergence detection is represented in the fifth column (Div Bull) and the sixth and last column (Div Bear).
REG – Regular divergence detected
HID – Hidden divergence detected
Scanner Alerts
You can opt to receive alerts for the following scenarios:
Detected up and down swings
Detected bullish and bearish divergences
Detected bar trend changes
Confirmed Reversal Bars
Confirmed Continuation Bars
Confirmed ange breakouts
The alert function is activated for all symbols listed in the scanner and corresponds to the timeframe of the chart you are currently viewing. This ensures that you receive alerts specifically tailored to the symbols and timeframe you are interested in.
Risk Disclaimer
The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
Trend Line XrossTrend Line Xross (TLX) Uses User Input Points to draw trendlines and displays the exact intersection point of those trendlines.
This is the public indicator of the practical application for this intersection method included in my entry for Pinefest #1.
To determine the exact intersection point I am using the y-intercept method as seen below.
The code is notated for more information on the technical workings.
One difference to note between this version and the pinefest version is that I had to change the line drawings to use bar_index values so that I can use line.get_price() to grab the current value of the line to make alerts from.
Additionally, there are alerts built-in to this version for every type of cross on all of the visible lines.
Enjoy!
