Bullish Cassiopeia B Harmonic Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically detects and draws bullish Cassiopeia B harmonic patterns and price projections derived from the ranges that constitute the patterns.
Cassiopeia A, B and C harmonic patterns are patterns that I created/discovered myself. They are all inspired by the Cassiopeia constellation and each one is based on different rotations of the constellation as it moves through the sky. The range ratios are also based on the constellation's right ascension and declination listed on Wikipedia:
Right ascension 22h 57m 04.5897s–03h 41m 14.0997s
Declination 77.6923447°–48.6632690°
en.wikipedia.org
I actually developed this idea quite a while ago now but have not felt audacious enough to introduce a new harmonic pattern, let alone 3 at the same time! But I have since been able to run backtests on tick data going back to 2002 across a variety of market and timeframe combinations and have learned that the Cassiopeia patterns can certainly hold their own against the currently known harmonic patterns.
I would also point out that the Cassiopeia constellation does actually look like a harmonic pattern and the Cassiopeia A star is literally the 'strongest source of radio emission in the sky beyond the solar system', so its arguably more of a real harmonic phenomenon than the current patterns.
www.britannica.com
chandra.si.edu
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend and continues until a new downtrend ends the trend.
• A multi-part downtrend begins with the formation of a new downtrend and continues until a new return line uptrend ends the trend.
• A multi-part uptrend begins with the formation of a new uptrend and continues until a new return line downtrend ends the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend and continues until a new uptrend ends the trend.
Double Trends
• A double uptrend is formed when the current trough price is higher than the preceding trough price and the current peak price is higher than the preceding peak price.
• A double downtrend is formed when the current peak price is lower than the preceding peak price and the current trough price is lower than the preceding trough price.
Muti-Part Double Trends
• A multi-part double uptrend begins with the formation of a new uptrend that proceeds a new return line uptrend, and continues until a new downtrend or return line downtrend ends the trend.
• A multi-part double downtrend begins with the formation of a new downtrend that proceeds a new return line downtrend, and continues until a new uptrend or return line uptrend ends the trend.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Figure 1.
Retracement and Extension Ratios
Retracement and extension ratios are calculated by dividing the current range by the preceding range and multiplying the answer by 100. Retracement ratios are those that are equal to or below 100% of the preceding range and extension ratios are those that are above 100% of the preceding range.
Fibonacci Retracement and Extension Ratios
The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144.
The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on.
1.618 is considered to be the 'golden ratio', found in many natural phenomena such as the growth of seashells and the branching of trees. Some now speculate the universe oscillates at a frequency of 0,618 Hz, which could help to explain such phenomena, but this theory has yet to be proven.
Traders and analysts use Fibonacci retracement and extension indicators, consisting of horizontal lines representing different Fibonacci ratios, for identifying potential levels of support and resistance. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak.
Harmonic Patterns
The concept of harmonic patterns in trading was first introduced by H.M. Gartley in his book "Profits in the Stock Market", published in 1935. Gartley observed that markets have a tendency to move in repetitive patterns, and he identified several specific patterns that he believed could be used to predict future price movements.
Since then, many other traders and analysts have built upon Gartley's work and developed their own variations of harmonic patterns. One such contributor is Larry Pesavento, who developed his own methods for measuring harmonic patterns using Fibonacci ratios. Pesavento has written several books on the subject of harmonic patterns and Fibonacci ratios in trading. Another notable contributor to harmonic patterns is Scott Carney, who developed his own approach to harmonic trading in the late 1990s and also popularised the use of Fibonacci ratios to measure harmonic patterns. Carney expanded on Gartley's work and also introduced several new harmonic patterns, such as the Shark pattern and the 5-0 pattern.
The bullish and bearish Gartley patterns are the oldest recognized harmonic patterns in trading and all the other harmonic patterns are ultimately modifications of the original Gartley patterns. Gartley patterns are fundamentally composed of 5 points, or 4 waves.
Bullish and Bearish Cassiopeia B Harmonic Patterns
• Bullish Cassiopeia B patterns are fundamentally composed of three troughs and two peaks. The second peak being lower than the first peak. And the third trough being lower than both the first and second troughs, while the second trough is also lower than the first.
• Bearish Cassiopeia B patterns are fundamentally composed of three peaks and two troughs. The second trough being higher than the first trough. And the third peak being higher than both the first and second peaks, while the second peak is also higher than the first.
The ratio measurements I use to detect the patterns are as follows:
• Wave 1 of the pattern, generally referred to as XA, has no specific ratio requirements.
• Wave 2 of the pattern, generally referred to as AB, should retrace by at least 11.34%, but no further than 22.31% of the range set by wave 1.
• Wave 3 of the pattern, generally referred to as BC, should extend by at least 225.7%, but no further than 341% of the range set by wave 2.
• Wave 4 of the pattern, generally referred to as CD, should retrace by at least 77.69%, but no further than 88.66% of the range set by wave 3.
Measurement Tolerances
In general, tolerance in measurements refers to the allowable variation or deviation from a specific value or dimension. It is the range within which a particular measurement is considered to be acceptable or accurate. In this script I have applied this concept to the measurement of harmonic pattern ratios to increase to the frequency of pattern occurrences.
For example, the AB measurement of Gartley patterns is generally set at around 61.8%, but with such specificity in the measuring requirements the patterns are very rare. We can increase the frequency of pattern occurrences by setting a tolerance. A tolerance of 10% to both downside and upside, which is the default setting for all tolerances, means we would have a tolerable measurement range between 51.8-71.8%, thus increasing the frequency of occurrence.
█ FEATURES
Inputs
• AB Lower Tolerance
• AB Upper Tolerance
• BC Lower Tolerance
• BC Upper Tolerance
• CD Lower Tolerance
• CD Upper Tolerance
• Pattern Color
• Label Color
• Show Projections
• Extend Current Projection Lines
Alerts
Users can set alerts for when the patterns occur.
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
█ NOTES
I know a few people have been requesting a single indicator that contains all my patterns and I definitely hear you on that one. However, I have been very busy working on other projects while trying to trade and be a human at the same time. For now I am going to maintain my original approach of releasing each pattern individually so as to maintain consistency. But I am now also working on getting my some of my libraries ready for public release and in doing so I will finally be able to fit all patterns into one script. I will also be giving my scripts some TLC by making them cleaner once I have the libraries up and running. Please bear with me in the meantime, this may take a while. Cheers!
Analiza oparta na falach
Bearish Cassiopeia A Harmonic Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically detects and draws bearish Cassiopeia A harmonic patterns and price projections derived from the ranges that constitute the patterns.
Cassiopeia A, B and C harmonic patterns are patterns that I created/discovered myself. They are all inspired by the Cassiopeia constellation and each one is based on different rotations of the constellation as it moves through the sky. The range ratios are also based on the constellation's right ascension and declination listed on Wikipedia:
Right ascension 22h 57m 04.5897s–03h 41m 14.0997s
Declination 77.6923447°–48.6632690°
en.wikipedia.org
I actually developed this idea quite a while ago now but have not felt audacious enough to introduce a new harmonic pattern, let alone 3 at the same time! But I have since been able to run backtests on tick data going back to 2002 across a variety of market and timeframe combinations and have learned that the Cassiopeia patterns can certainly hold their own against the currently known harmonic patterns.
I would also point out that the Cassiopeia constellation does actually look like a harmonic pattern and the Cassiopeia A star is literally the 'strongest source of radio emission in the sky beyond the solar system', so its arguably more of a real harmonic phenomenon than the current patterns.
www.britannica.com
chandra.si.edu
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend and continues until a new downtrend ends the trend.
• A multi-part downtrend begins with the formation of a new downtrend and continues until a new return line uptrend ends the trend.
• A multi-part uptrend begins with the formation of a new uptrend and continues until a new return line downtrend ends the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend and continues until a new uptrend ends the trend.
Double Trends
• A double uptrend is formed when the current trough price is higher than the preceding trough price and the current peak price is higher than the preceding peak price.
• A double downtrend is formed when the current peak price is lower than the preceding peak price and the current trough price is lower than the preceding trough price.
Muti-Part Double Trends
• A multi-part double uptrend begins with the formation of a new uptrend that proceeds a new return line uptrend, and continues until a new downtrend or return line downtrend ends the trend.
• A multi-part double downtrend begins with the formation of a new downtrend that proceeds a new return line downtrend, and continues until a new uptrend or return line uptrend ends the trend.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Figure 1.
Retracement and Extension Ratios
Retracement and extension ratios are calculated by dividing the current range by the preceding range and multiplying the answer by 100. Retracement ratios are those that are equal to or below 100% of the preceding range and extension ratios are those that are above 100% of the preceding range.
Fibonacci Retracement and Extension Ratios
The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144.
The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on.
1.618 is considered to be the 'golden ratio', found in many natural phenomena such as the growth of seashells and the branching of trees. Some now speculate the universe oscillates at a frequency of 0,618 Hz, which could help to explain such phenomena, but this theory has yet to be proven.
Traders and analysts use Fibonacci retracement and extension indicators, consisting of horizontal lines representing different Fibonacci ratios, for identifying potential levels of support and resistance. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak.
Harmonic Patterns
The concept of harmonic patterns in trading was first introduced by H.M. Gartley in his book "Profits in the Stock Market", published in 1935. Gartley observed that markets have a tendency to move in repetitive patterns, and he identified several specific patterns that he believed could be used to predict future price movements.
Since then, many other traders and analysts have built upon Gartley's work and developed their own variations of harmonic patterns. One such contributor is Larry Pesavento, who developed his own methods for measuring harmonic patterns using Fibonacci ratios. Pesavento has written several books on the subject of harmonic patterns and Fibonacci ratios in trading. Another notable contributor to harmonic patterns is Scott Carney, who developed his own approach to harmonic trading in the late 1990s and also popularised the use of Fibonacci ratios to measure harmonic patterns. Carney expanded on Gartley's work and also introduced several new harmonic patterns, such as the Shark pattern and the 5-0 pattern.
The bullish and bearish Gartley patterns are the oldest recognized harmonic patterns in trading and all the other harmonic patterns are ultimately modifications of the original Gartley patterns. Gartley patterns are fundamentally composed of 5 points, or 4 waves.
Bullish and Bearish Cassiopeia A Harmonic Patterns
• Bullish Cassiopeia A patterns are fundamentally composed of three troughs and two peaks. The second peak being higher than the first peak. And the third trough being higher than both the first and second troughs, while the second trough is also higher than the first.
• Bearish Cassiopeia A patterns are fundamentally composed of three peaks and two troughs. The second trough being lower than the first trough. And the third peak being lower than both the first and second peaks, while the second peak is also lower than the first.
The ratio measurements I use to detect the patterns are as follows:
• Wave 1 of the pattern, generally referred to as XA, has no specific ratio requirements.
• Wave 2 of the pattern, generally referred to as AB, should retrace by at least 11.34%, but no further than 22.31% of the range set by wave 1.
• Wave 3 of the pattern, generally referred to as BC, should extend by at least 225.7%, but no further than 341% of the range set by wave 2.
• Wave 4 of the pattern, generally referred to as CD, should retrace by at least 77.69%, but no further than 88.66% of the range set by wave 3.
Measurement Tolerances
In general, tolerance in measurements refers to the allowable variation or deviation from a specific value or dimension. It is the range within which a particular measurement is considered to be acceptable or accurate. In this script I have applied this concept to the measurement of harmonic pattern ratios to increase to the frequency of pattern occurrences.
For example, the AB measurement of Gartley patterns is generally set at around 61.8%, but with such specificity in the measuring requirements the patterns are very rare. We can increase the frequency of pattern occurrences by setting a tolerance. A tolerance of 10% to both downside and upside, which is the default setting for all tolerances, means we would have a tolerable measurement range between 51.8-71.8%, thus increasing the frequency of occurrence.
█ FEATURES
Inputs
• AB Lower Tolerance
• AB Upper Tolerance
• BC Lower Tolerance
• BC Upper Tolerance
• CD Lower Tolerance
• CD Upper Tolerance
• Pattern Color
• Label Color
• Show Projections
• Extend Current Projection Lines
Alerts
Users can set alerts for when the patterns occur.
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
█ NOTES
I know a few people have been requesting a single indicator that contains all my patterns and I definitely hear you on that one. However, I have been very busy working on other projects while trying to trade and be a human at the same time. For now I am going to maintain my original approach of releasing each pattern individually so as to maintain consistency. But I am now also working on getting my some of my libraries ready for public release and in doing so I will finally be able to fit all patterns into one script. I will also be giving my scripts some TLC by making them cleaner once I have the libraries up and running. Please bear with me in the meantime, this may take a while. Cheers!
Bullish Cassiopeia A Harmonic Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically detects and draws bullish Cassiopeia A harmonic patterns and price projections derived from the ranges that constitute the patterns.
Cassiopeia A, B and C harmonic patterns are patterns that I created/discovered myself. They are all inspired by the Cassiopeia constellation and each one is based on different rotations of the constellation as it moves through the sky. The range ratios are also based on the constellation's right ascension and declination listed on Wikipedia:
Right ascension 22h 57m 04.5897s–03h 41m 14.0997s
Declination 77.6923447°–48.6632690°
en.wikipedia.org
I actually developed this idea quite a while ago now but have not felt audacious enough to introduce a new harmonic pattern, let alone 3 at the same time! But I have since been able to run backtests on tick data going back to 2002 across a variety of market and timeframe combinations and have learned that the Cassiopeia patterns can certainly hold their own against the currently known harmonic patterns. As can be seen in the picture above the bullish Cassiopeia A caught the 2009 bear market bottom almost perfectly.
I would also point out that the Cassiopeia constellation does actually look like a harmonic pattern and the Cassiopeia A star is literally the 'strongest source of radio emission in the sky beyond the solar system', so its arguably more of a real harmonic phenomenon than the current patterns.
www.britannica.com
chandra.si.edu
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend and continues until a new downtrend ends the trend.
• A multi-part downtrend begins with the formation of a new downtrend and continues until a new return line uptrend ends the trend.
• A multi-part uptrend begins with the formation of a new uptrend and continues until a new return line downtrend ends the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend and continues until a new uptrend ends the trend.
Double Trends
• A double uptrend is formed when the current trough price is higher than the preceding trough price and the current peak price is higher than the preceding peak price.
• A double downtrend is formed when the current peak price is lower than the preceding peak price and the current trough price is lower than the preceding trough price.
Muti-Part Double Trends
• A multi-part double uptrend begins with the formation of a new uptrend that proceeds a new return line uptrend, and continues until a new downtrend or return line downtrend ends the trend.
• A multi-part double downtrend begins with the formation of a new downtrend that proceeds a new return line downtrend, and continues until a new uptrend or return line uptrend ends the trend.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Figure 1.
Retracement and Extension Ratios
Retracement and extension ratios are calculated by dividing the current range by the preceding range and multiplying the answer by 100. Retracement ratios are those that are equal to or below 100% of the preceding range and extension ratios are those that are above 100% of the preceding range.
Fibonacci Retracement and Extension Ratios
The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144.
The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on.
1.618 is considered to be the 'golden ratio', found in many natural phenomena such as the growth of seashells and the branching of trees. Some now speculate the universe oscillates at a frequency of 0,618 Hz, which could help to explain such phenomena, but this theory has yet to be proven.
Traders and analysts use Fibonacci retracement and extension indicators, consisting of horizontal lines representing different Fibonacci ratios, for identifying potential levels of support and resistance. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak.
Harmonic Patterns
The concept of harmonic patterns in trading was first introduced by H.M. Gartley in his book "Profits in the Stock Market", published in 1935. Gartley observed that markets have a tendency to move in repetitive patterns, and he identified several specific patterns that he believed could be used to predict future price movements.
Since then, many other traders and analysts have built upon Gartley's work and developed their own variations of harmonic patterns. One such contributor is Larry Pesavento, who developed his own methods for measuring harmonic patterns using Fibonacci ratios. Pesavento has written several books on the subject of harmonic patterns and Fibonacci ratios in trading. Another notable contributor to harmonic patterns is Scott Carney, who developed his own approach to harmonic trading in the late 1990s and also popularised the use of Fibonacci ratios to measure harmonic patterns. Carney expanded on Gartley's work and also introduced several new harmonic patterns, such as the Shark pattern and the 5-0 pattern.
The bullish and bearish Gartley patterns are the oldest recognized harmonic patterns in trading and all the other harmonic patterns are ultimately modifications of the original Gartley patterns. Gartley patterns are fundamentally composed of 5 points, or 4 waves.
Bullish and Bearish Cassiopeia A Harmonic Patterns
• Bullish Cassiopeia A patterns are fundamentally composed of three troughs and two peaks. The second peak being higher than the first peak. And the third trough being higher than both the first and second troughs, while the second trough is also higher than the first.
• Bearish Cassiopeia A patterns are fundamentally composed of three peaks and two troughs. The second trough being lower than the first trough. And the third peak being lower than both the first and second peaks, while the second peak is also lower than the first.
The ratio measurements I use to detect the patterns are as follows:
• Wave 1 of the pattern, generally referred to as XA, has no specific ratio requirements.
• Wave 2 of the pattern, generally referred to as AB, should retrace by at least 11.34%, but no further than 22.31% of the range set by wave 1.
• Wave 3 of the pattern, generally referred to as BC, should extend by at least 225.7%, but no further than 341% of the range set by wave 2.
• Wave 4 of the pattern, generally referred to as CD, should retrace by at least 77.69%, but no further than 88.66% of the range set by wave 3.
Measurement Tolerances
In general, tolerance in measurements refers to the allowable variation or deviation from a specific value or dimension. It is the range within which a particular measurement is considered to be acceptable or accurate. In this script I have applied this concept to the measurement of harmonic pattern ratios to increase to the frequency of pattern occurrences.
For example, the AB measurement of Gartley patterns is generally set at around 61.8%, but with such specificity in the measuring requirements the patterns are very rare. We can increase the frequency of pattern occurrences by setting a tolerance. A tolerance of 10% to both downside and upside, which is the default setting for all tolerances, means we would have a tolerable measurement range between 51.8-71.8%, thus increasing the frequency of occurrence.
█ FEATURES
Inputs
• AB Lower Tolerance
• AB Upper Tolerance
• BC Lower Tolerance
• BC Upper Tolerance
• CD Lower Tolerance
• CD Upper Tolerance
• Pattern Color
• Label Color
• Show Projections
• Extend Current Projection Lines
Alerts
Users can set alerts for when the patterns occur.
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
█ NOTES
I know a few people have been requesting a single indicator that contains all my patterns and I definitely hear you on that one. However, I have been very busy working on other projects while trying to trade and be a human at the same time. For now I am going to maintain my original approach of releasing each pattern individually so as to maintain consistency. But I am now also working on getting my some of my libraries ready for public release and in doing so I will finally be able to fit all patterns into one script. I will also be giving my scripts some TLC by making them cleaner once I have the libraries up and running. Please bear with me in the meantime, this may take a while. Cheers!
Johnny's Moving Average RibbonProps to Madrid for creating the original script: Madrid Moving Average Ribbon.
All I did was upgrade it to pinescript v5 and added a few changes to the script.
Features and Functionality
Moving Average Types: The indicator offers a choice between exponential moving averages (EMAs) and simple moving averages (SMAs), allowing users to select the type that best fits their trading strategy.
Dynamic Color Coding: Each moving average line within the ribbon changes color based on its direction and position relative to a reference moving average, providing visual cues for market sentiment and trend strength.
Lime Green: Indicates an uptrend and potential long positions, shown when a moving average is rising and above the longer-term reference MA.
Maroon: Suggests caution for long positions or potential short reentry points, displayed when a moving average is rising but below the reference MA.
Ruby Red: Represents a downtrend, suitable for short positions, shown when a moving average is falling and below the reference MA.
Green: Signals potential reentry points for downtrends or warnings for uptrend reversals, displayed when a moving average is falling but above the reference MA.
Usage and Application
Trend Identification: Traders can quickly ascertain the market's direction at a glance by observing the predominant color of the ribbon and its orientation.
Trade Entry and Exit Points: The color transitions within the ribbon can signal potential entry or exit points, with changes from green to lime or red to maroon indicating shifts in market momentum.
Customization: Users have the flexibility to toggle between exponential and simple moving averages, allowing for a tailored analytical approach that aligns with their individual trading preferences.
Technical Specifications
The ribbon consists of multiple moving averages calculated over different periods, typically ranging from shorter to longer-term intervals to capture various aspects of market behavior.
The color dynamics are determined by comparing each moving average to a reference point, often a longer-term moving average within the ribbon, to assess the relative trend strength and direction.
Smart Money Setup 03 [TradingFinder] Minor OB & Trend Proof🔵 Introduction
The "Smart Money Concept" transcends mere technical trading strategies; it embodies a comprehensive philosophy elucidating market dynamics. Central to this concept is the acknowledgment that influential market participants manipulate price actions, presenting challenges for retail traders.
As a "retail trader", aligning your strategy with the behavior of "Smart Money," primarily market makers, is paramount. Understanding their trading patterns, which revolve around supply, demand, and market structure, forms the cornerstone of your approach. Consequently, decisions to enter trades should be informed by these considerations.
🟣 Important Note
In this setup, pattern formation revolves around the robustness of the "Stop Hunt" targeting retail traders.
When this stop hunt occurs, if the price tests below the minor pivot or above the minor pivot, a "Minor Order Block" is formed.
Similarly, if the price tests below the major pivot or above the major pivot, a "Major Order Block" is formed.
Since the price hasn't successfully broken the major pivots before breaking the Top or Bottom, it can be inferred that the minor pivots formed within a leg of price movement exhibit a "Range" structure.
For a deeper comprehension of this setup, refer to the accompanying visual aids below.
Bullish Setup Details :
Bearish Setup Details :
🔵 How to Use
Upon integrating the indicator into your chart, exercise patience as you await the evolution of the trading setup.
Experiment with different trading positions by adjusting both the "Time Frame" and "Pivot Period". Typically, setups materializing over longer "Time Frames" and "Pivot Periods" carry heightened validity.
Bullish Setup Details on Chart :
Bearish Setup Details on Chart :
Within the settings, you possess the flexibility to modify the "Pivot Period" input to tailor the indicator to your preferences.
Three Drive [TradingFinder] 3 Drive Harmonic Pattern Indicator🔵 Introduction
The "Three Drive" pattern is one of the light "RTM" setups suitable for identifying price trend reversals. For this reason, this pattern is considered one of the "Reversal Patterns."
🟣 Bullish 3 Drive
At a price bottom, a formation occurs where the negative trend appears to continue, and lower lows are made.
However, the second low penetrates the range of the first low, and the third low penetrates the range of the second low, indicating a decrease in selling pressure and an increase in buying pressure.
Entry point is issued after the penetration of the third low to the second low, and targets are the highs formed in the "3 Drive."
🟣 Bearish 3 Drive
At a price top, a formation occurs where the positive trend appears to continue, and higher highs are made.
However, the second high penetrates the range of the first high, and the third high penetrates the range of the second high, indicating a decrease in buyers' strength and an increase in sellers' strength.
Entry point is issued after the penetration of the third high to the second high, and targets are the lows formed in the "3 Drive."
Importance :
This pattern bears a striking resemblance to the some of "Harmonic Pattern" and "Ending Diagonal" in the "Elliott Pattern".
🔵 How to Use
There is no need for further confirmation to use this pattern, and you can use it as soon as the pattern forms. However, to reduce errors, it is better to use this pattern when it forms within a "Supply and Demand" or "Support and Resistance" structure.
Bullish 3 Drive in Demand Zone :
Bearish 3 Drive in Supply Zone :
🔵 Settings
You can set your desired "Pivot Period" via settings for the indicator to identify setups based on it.
Smart Money Setup 02 [TradingFinder] Mitigated Major OB Proof🔵 Introduction
"Smart money" is money invested by knowledgeable individuals at the right time, and this investment can yield the highest returns.
The concept we focus on in this indicator is whether the market is in an uptrend or downtrend. The market briefly takes a weak and reversal trend with "Minor BoS" without being able to break the major pivot.
In the next step, it returns to its main trend with a strong bullish move and continues its trend with a "Major BoS". The "order block" behind this rapid and powerful movement can be a valid order block for trading.
To better understand this setup, please refer to the explanations in the two images below.
Bullish Setup Details :
Bearish Setup Details :
🔵 How to Use
After adding the indicator to the chart, you should wait for trading opportunities to form. By changing the "Time Frame" and "Period Pivot", you can see different trading positions. In general, the lower the "Time Frame" and "Period Pivot", the higher the likelihood of forming trading opportunities.
Bullish Setup Details on Chart :
Bearish Setup Details on Chart :
You can access "Period Pivot" via settings as an input.
ZigZag Library [TradingFinder]🔵 Introduction
The "Zig Zag" indicator is an analytical tool that emerges from pricing changes. Essentially, it connects consecutive high and low points in an oscillatory manner. This method helps decipher price changes and can also be useful in identifying traditional patterns.
By sifting through partial price changes, "Zig Zag" can effectively pinpoint price fluctuations within defined time intervals.
🔵 Key Features
1. Drawing the Zig Zag based on Pivot points :
The algorithm is based on pivots that operate consecutively and alternately (switch between high and low swing). In this way, zigzag lines are connected from a swing high to a swing low and from a swing low to a swing high.
Also, with a very low probability, it is possible to have both low pivots and high pivots in one candle. In these cases, the algorithm tries to make the best decision to make the most suitable choice.
You can control what period these decisions are based on through the "PiPe" parameter.
2.Naming and labeling each pivot based on its position as "Higher High" (HH), "Lower Low" (LL), "Higher Low" (HL), and "Lower High" (LH).
Additionally, classic patterns such as HH, LH, LL, and HL can be recognized. All traders analyzing financial markets using classic patterns and Elliot Waves can benefit from the "zigzag" indicator to facilitate their analysis.
" HH ": When the price is higher than the previous peak (Higher High).
" HL ": When the price is higher than the previous low (Higher Low).
" LH ": When the price is lower than the previous peak (Lower High).
" LL ": When the price is lower than the previous low (Lower Low).
🔵 How to Use
First, you can add the library to your code as shown in the example below.
import TFlab/ZigZagLibrary_TradingFinder/1 as ZZ
Function "ZigZag" Parameters :
🟣 Logical Parameters
1. HIGH : You should place the "high" value here. High is a float variable.
2. LOW : You should place the "low" value here. Low is a float variable.
3. BAR_INDEX : You should place the "bar_index" value here. Bar_index is an integer variable.
4. PiPe : The desired pivot period for plotting Zig Zag is placed in this parameter. For example, if you intend to draw a Zig Zag with a Swing Period of 5, you should input 5.
PiPe is an integer variable.
Important :
Apart from the "PiPe" indicator, which is part of the customization capabilities of this indicator, you can create a multi-time frame mode for the indicator using 3 parameters "High", "Low" and "BAR_INDEX". In this way, instead of the data of the current time frame, use the data of other time frames.
Note that it is better to use the current time frame data, because using the multi-time frame mode is associated with challenges that may cause bugs in your code.
🟣 Setting Parameters
5. SHOW_LINE : It's a boolean variable. When true, the Zig Zag line is displayed, and when false, the Zig Zag line display is disabled.
6. STYLE_LINE : In this variable, you can determine the style of the Zig Zag line. You can input one of the 3 options: line.style_solid, line.style_dotted, line.style_dashed. STYLE_LINE is a constant string variable.
7. COLOR_LINE : This variable takes the input of the line color.
8. WIDTH_LINE : The input for this variable is a number from 1 to 3, which is used to adjust the thickness of the line that draws the Zig Zag. WIDTH_LINE is an integer variable.
9. SHOW_LABEL : It's a boolean variable. When true, labels are displayed, and when false, label display is disabled.
10. COLOR_LABEL : The color of the labels is set in this variable.
11. SIZE_LABEL : The size of the labels is set in this variable. You should input one of the following options: size.auto, size.tiny, size.small, size.normal, size.large, size.huge.
12. Show_Support : It's a boolean variable that, when true, plots the last support line, and when false, disables its plotting.
13. Show_Resistance : It's a boolean variable that, when true, plots the last resistance line, and when false, disables its plotting.
Suggestion :
You can use the following code snippet to import Zig Zag into your code for time efficiency.
//import Library
import TFlab/ZigZagLibrary_TradingFinder/1 as ZZ
// Input and Setting
// Zig Zag Line
ShZ = input.bool(true , 'Show Zig Zag Line', group = 'Zig Zag') //Show Zig Zag
PPZ = input.int(5 ,'Pivot Period Zig Zag Line' , group = 'Zig Zag') //Pivot Period Zig Zag
ZLS = input.string(line.style_dashed , 'Zig Zag Line Style' , options = , group = 'Zig Zag' )
//Zig Zag Line Style
ZLC = input.color(color.rgb(0, 0, 0) , 'Zig Zag Line Color' , group = 'Zig Zag') //Zig Zag Line Color
ZLW = input.int(1 , 'Zig Zag Line Width' , group = 'Zig Zag')//Zig Zag Line Width
// Label
ShL = input.bool(true , 'Label', group = 'Label') //Show Label
LC = input.color(color.rgb(0, 0, 0) , 'Label Color' , group = 'Label')//Label Color
LS = input.string(size.tiny , 'Label size' , options = , group = 'Label' )//Label size
Show_Support= input.bool(false, 'Show Last Support',
tooltip = 'Last Support' , group = 'Support and Resistance')
Show_Resistance = input.bool(false, 'Show Last Resistance',
tooltip = 'Last Resistance' , group = 'Support and Resistance')
//Call Function
ZZ.ZigZag(high ,low ,bar_index ,PPZ , ShZ ,ZLS , ZLC, ZLW ,ShL , LC , LS , Show_Support , Show_Resistance )
Order Blocks Indicator [TradingFinder] Lightning|CHOCH |OB | BOS🔵 Introduction
In "Price Action," an "Order Block" is essentially an area on the price chart where significant players such as institutional traders have executed their moves by placing noteworthy orders. These points often indicate areas where price either attempts to break through (resistance) or returns when it reaches there (support).
Therefore, when discussing the identification of order blocks, we typically refer to finding points where the price has stalled for a while and has accumulated strength before making a significant move in one direction.
Essentially, order blocks assist traders in understanding where large players with "smart money" have likely placed their bulk orders in the market. Traders use these order blocks as part of their overall analysis to identify probable levels where price may change direction.
This version of the order block indicator is designed for traders, adding many indicators to their charts. The minimal design helps minimize disruptions to user focus.
🔵 Identification of Order Blocks
To identify order blocks, first, a "Level Break" must occur. To identify a "Demand Zone," a "High Level Break" is required, and to identify a "Supply Zone," a "Low Level Break" is needed.
Demand Zone :
Supply Zone :
🔵 "Change of Character" or "Market Shift Structure"
"ChoCh" or "MSS" is the "Break Level" that is contrary to the previous trend. For example, if a "Bearish Level" is established in the market and consecutive "Low Levels" are being broken, the price turns upward, breaking a "High Level." This break is called "ChoCh" or "MSS."
🔵 "Break of Structure"
"Break of Structure," or "BoS" for short, is the "Break Level" in the direction of the current trend. For example, if a "Bullish Level" is established in the market, when the price breaks a "High Level," a "BoS" has occurred.
🔵 Features
🟣 Major Level
This feature helps you easily identify major levels. These levels form when the price breaks another major level.
🟣 Refine Order Block
The "Refinement" feature allows you to adjust the width of the order block based on your strategy. There are two modes, "Aggressive" and "Defensive," in Order Block Refine. The difference between "Aggressive" and "Defensive" lies in the width of the order block. For "Risk Averse" traders, the "Defensive" mode is suitable because it provides smaller stop losses and larger reward-to-risk ratios. For "Risk Taker" traders, the "Aggressive" mode is more suitable. These traders prefer to enter trades at higher prices and this mode, where the width of the order block is greater, is more suitable for this group of individuals.
🔵 How to Use
After adding the indicator to your chart, you will see a visual similar to the image below. Green order blocks are "Demand Zones" and red order blocks are "Supply Zones." The midpoint of the order blocks also indicates 50% of it.
Refine Order Block is defaulted to On and refines the order blocks. If you want the order blocks to remain original, you should set it to Off.
Refine is defaulted to "Defensive" mode. If you want it to be in "Aggressive" mode, you should change its mode through Refine Type.
Displaying "Major Levels" is turned off by default and to display them, you should set "Show High Level" and "Show Low Level" to "Yes." You can use these lines to identify liquidity or determine stop loss and take profit levels.
Liquidity Trendline With Signals [BigBeluga]The Liquidity Trendline is an indicator designed to identify potential breakouts by utilizing pivot points. These pivotal moments can trigger significant market reactions, either by breaking out or by serving as breakout and retest signals.
🔶 FEATURES
The indicator contains the following features:
Period of the calculation
Padding (spacing between the 2 lines)
Signal for breakouts
🔶 USAGE
As shown in the example, breakouts can be powerful points to see reversions in the market and can lead to a lot of volatility in the market.
When a trendline is broken, a signal will be plotted; the user can disable/enable those signals.
A trendline is formed when 2 consecutive pivot points are found, each of them lower or higher than the previous one. this is the anchor point for our trend line that we will use to spot rejection or breakouts
The delay in the creation of those trend lines will be the period input used to find the pivot point on the chart.
Another good example is using these trendlines as simple retests.
Prices bouncing on top of them will suggest a possible continuation of the current trend.
We can filter out stronger breakouts by looking at how many times the price has rejected the trendline, more rejections will result in more liquidity once the price breaks it.
Signals are plotted on the chart for every breakout that happens.
Another good utility is simply using them as retest once the price breaks those levels and holding above/below them, indicating a possible support or resistance area used for confluence
Here is another good example of how we can correctly spot price deviating from our trendline and spotting powerful continuation in price.
As said before we can filter out bad and good breakouts simply by looking at how many times rejected from those levels.
More rejection will result in a stronger reaction
🔶 CONCLUSION
This script is as simple as that and can be used in a few ways to spot reversals, price continuation, or even sentiment in price (bullish or bearish).
ICT Concept [TradingFinder] Order Block | FVG | Liquidity Sweeps🔵 Introduction
The "ICT" style is one of the subsets of "Price Action" technical analysis. ICT is a method created by "Michael Huddleston", a professional forex trader and experienced mentor. The acronym ICT stands for "Inner Circle Trader".
The main objective of the ICT trading strategy is to combine "Price Action" and the concept of "Smart Money" to identify optimal entry points into trades. However, finding suitable entry points is not the only strength of this approach. With the ICT style, traders can better understand price behavior and adapt their trading approach to market structure accordingly.
Numerous concepts are discussed in this style, but the key practical concepts for trading in financial markets include "Order Block," "Liquidity," and "FVG".
🔵 How to Use
🟣Order Block
Order blocks are a specific type of "Supply and Demand" zones formed when a series of orders are placed in a block. These orders could be created by banks or other major players. Banks typically execute large orders in blocks during their trading sessions. If they were to enter the market directly with a small quantity, significant price movements would occur before the orders are fully executed, resulting in less profit. To avoid this, they divide their orders into smaller, manageable positions. Traders should look for "buy" opportunities in "demand order blocks" areas and "sell" opportunities in "supply order blocks".
🟣Liquidity
These levels are where traders aim to exit their trades. "Market Makers" or smart money usually collects or distributes their trading positions near levels where many retail traders have placed their "Stop Loss" orders. When the liquidity resulting from these losses is collected, the price often reverses direction.
A "Stop Hunt" is a move designed to neutralize liquidity generated by triggered stop losses. Banks often use significant news events to trigger stop hunts and acquire the liquidity released in the market. If, for example, they intend to execute heavy buy orders, they encourage others to sell through stop hunts.
As a result, if there is liquidity in the market before reaching the order block region, the credibility of that order block is higher. Conversely, if liquidity is near the order block, meaning the price reaches the order block before reaching the liquidity area, the credibility of that order block is lower.
🟣FVG (Fair Value Gap)
To identify the "Fair Value Gap" on the chart, one must analyze candle by candle. Focus on candles with large bodies, examining one candle and the one before it. The candles before and after this central candle should have long shadows, and their bodies should not overlap with the body of the central candle. The distance between the shadows of the first and third candles is called the FVG range.
These zone function in two ways :
•Supply and Demand zone: In this case, the price reacts to these zone, and its trend reverses.
•Liquidity zone: In this scenario, the price "fills" the zone and then reaches the order block.
Important Note: In most cases, FVG zone with very small width act as supply and demand zone, while zone with a significant width act as liquidity zone, absorbing the price.
🔵 Setting
🟣Order Block
Refine Order Block : When the option for refining order blocks is Off, the supply and demand zones encompass the entire length of the order block (from Low to High) in their standard state and remain unaltered. On the option for refining order blocks triggers the improvement of supply and demand zones using the error correction algorithm.
Refine Type : The enhancement of order blocks via the error correction algorithm can be executed through two methods: Defensive and Aggressive. In the Aggressive approach, the widest possible range is taken into account for order blocks.
Show High Levels : If major high levels are to be displayed, set the option for showing high level to Yes.
Show Low Levels : If major low levels are to be displayed, set the option for showing low level to Yes.
Show Last Support : If showing the last support is desired, set the option for showing last support to Yes.
Show Last Resistance : If showing the last resistance is desired, set the option for showing last resistance to Yes.
🟣 FVG
FVG Filter : When FVG filtering is activated, the number of FVG areas undergoes filtration based on the specified algorithm.
FVG Filter Types :
1. Very Aggressive : Apart from the initial condition, an additional condition is introduced. For an upward FVG, the maximum price of the last candle should exceed the maximum price of the middle candle. Similarly, for a downward FVG, the minimum price of the last candle should be lower than the minimum price of the middle candle. This mode eliminates a minimal number of FVGs.
2. Aggressive : In addition to the conditions of the Very Aggressive mode, this mode considers the size of the middle candle; it should not be small. Consequently, a larger number of FVGs are eliminated in this mode.
3. Defensive : Alongside the conditions of the Very Aggressive mode, this mode takes into account the size of the middle candle, which should be relatively large with the majority of it comprising the body. Furthermore, to identify upward FVGs, the second and third candles must be positive, whereas for downward FVGs, the second and third candles must be negative. This mode filters out a considerable number of FVGs, retaining only those of suitable quality.
4. Very Defensive : In addition to the conditions of the Defensive mode, the first and third candles should not be very small-bodied doji candles. This mode filters out the majority of FVGs, leaving only the highest quality ones. Show Demand FVG: Enables the display of demand-related boxes, which can be toggled between off and on. Show Supply FVG: Enables the display of supply-related boxes along the path, which can also be toggled between off and on.
🟣 Liquidity
Statics Liquidity Line Sensitivity : A value ranging from 0 to 0.4. Increasing this value reduces the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of identified lines. The default value is 0.3.
Dynamics Liquidity Line Sensitivity : A value ranging from 0.4 to 1.95. Increasing this value enhances the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of identified lines. The default value is 1.
Statics Period Pivot : Default value is set to 8. By adjusting this value, you can specify the period for static liquidity line pivots.
Dynamics Period Pivot : Default value is set to 3. By adjusting this value, you can specify the period for dynamic liquidity line pivots.
You can activate or deactivate liquidity lines as necessary using the buttons labeled "Show Statics High Liquidity Line," "Show Statics Low Liquidity Line," "Show Dynamics High Liquidity Line," and "Show Dynamics Low Liquidity Line".
Liquidity Finder🔵 Introduction
The concept of "liquidity pool" or simply "liquidity" in technical analysis price action refers to areas on the price chart where stop losses accumulate, and the market, by reaching those areas and collecting liquidity (Stop Hunt), provides the necessary energy to move the price. This concept is prominent in the "ICT" and "Smart Money" styles. Imagine, as depicted below, the price is at a support level. The general trader mentality is that there is "demand" for the asset at this price level, and this demand will outweigh "supply" as before. So, it is likely that the price will increase. As a result, they start buying and place their stop loss below the support area.
Stop Hunt areas are essentially traders' "stop loss" levels. These are the liquidity that institutional and large traders need to fill their orders. Consequently, they penetrate the price below support areas or above resistance areas to touch their stop loss and fill their orders, and then the price trend reverses.
Cash zones are generally located under "Swings Low" and above "Swings High." More specifically, they can be categorized as support levels or resistance levels, above Double Top and Triple Top patterns, below Double Bottom and Triple Bottom patterns, above Bearish Trend lines, and below Bullish Trend lines.
Double Top and Triple Top :
Double Bottom and Triple Bottom :
Bullish Trend line and Bearish Trend line :
🔵 How to Use
To optimally use this indicator, you can adjust the settings according to the symbol, time frame, and your needs. These settings include the "sensitivity" of the "liquidity finder" function and the swing periods related to static and dynamic liquidity lines.
"Statics Liquidity Line Sensitivity" is a number between 0 and 0.4. Increasing this number decreases the sensitivity of the "Statics Liquidity Line Detection" function and increases the number of lines identified. The default value is 0.3.
"Dynamics Liquidity Line Sensitivity" is a number between 0.4 and 1.95. Increasing this number increases the sensitivity of the "Dynamics Liquidity Line Detection" function and decreases the number of lines identified. The default value is 1.
"Statics Period Pivot" is set to 8 by default. By changing this number, you can specify the period for the static liquidity line pivots.
"Dynamics Period Pivot" is set to 3 by default. By changing this number, you can specify the period for the dynamic liquidity line pivots.
🔵 Settings
Access to adjust the inputs of Static Dynamic Liquidity Line Sensitivity, Dynamics Liquidity Line Sensitivity, Statics Period Pivot, and Dynamics Period Pivot is possible from this section.
Additionally, you can enable or disable liquidity lines as needed using the buttons for "Show Statics High Liquidity Line," "Show Statics Low Liquidity Line," "Show Dynamics High Liquidity Line," and "Show Dynamics Low Liquidity Line."
WaveTrendnel Oscillator [UAlgo]🔶Description:
The WaveTrendnel Oscillator, is a technical analysis tool designed for traders to identify potential trend reversals and overbought/oversold conditions in the market. It combines the concepts of wave analysis and trend analysis to generate signals based on the current market conditions. This indicator aims to provide traders with insights into the strength and direction of the prevailing trend, facilitating better decision-making in trading strategies.
🔶Key Features:
Customizable Parameters: Users can customize various parameters including the source data, channel length, average length, and signal length according to their trading preferences and market conditions.
Signal Display: The indicator offers the option to display buy and sell signals on the chart, helping traders to visually identify potential entry and exit points.
Wave and Kernel Analysis: The WaveTrendnel Oscillator utilizes a rational quadratic kernel function, which applies a mathematical approach known as the kernel method. This method analyzes historical price data by assigning weights to each data point based on its proximity to the current period, providing a smoother and more accurate representation of market trends.
Overbought/Oversold Levels: Traders can define overbought and oversold levels using customizable threshold parameters, enabling them to identify potential reversal points in the market.
🔶Credit:
The WaveTrendnel Oscillator indicator is a modification of the original WaveTrend Oscillator developed by @LazyBear on TradingView.
🔶Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
WaveTrend Ribbon [AlgoAlpha]🌟🚀 Introducing the WaveTrend Ribbon by AlgoAlpha - Your Next-Level Trading Companion! 🚀🌟
Dive into the world of advanced trading with the WaveTrend Ribbon by AlgoAlpha, a cutting-edge indicator designed to elevate your trading strategy on TradingView. 📈💡 This powerful tool combines the efficiency of the WaveTrend oscillator with innovative Z-score analysis to offer clear, actionable trading signals. 🌊🎯
Key Features:
🔧 Customizable Parameters: Tailor the indicator to your trading needs with adjustable settings including Channel Length, Average Length, Overbought/Oversold Levels, and more.
📊 WaveTrend Oscillator: Utilizes a smoothed version of the average price to identify potential market reversals.
📉 Z-Score Analysis: Enhances signal reliability by measuring the standard deviation of the current price from the mean.
🎨 Dynamic Color Coding: Visual cues shift between up and down colors to indicate market trends, making it easy to read at a glance.
⚠️ Divergence Detection: Automatic identification of bullish and bearish divergences for early signal warnings.
🔔 Custom Alerts: Stay ahead with real-time alerts for key trading events like bullish/bearish divergences and trend reversals.
How to Use WaveTrend Ribbon :
Maximize your trading potential with the WaveTrend Ribbon by following these simple steps:
🔍 Add to Chart: Locate "WaveTrend Ribbon " in TradingView's Indicators & Strategies and apply it to your chart. Dive into the settings to customize the parameters like Channel Length, Average Length, and the Overbought/Oversold levels to match your trading strategy.
- Channel Length affects the sensitivity of the WaveTrend oscillator to price movements. A shorter Channel Length increases responsiveness, useful in volatile markets but may lead to false signals. It's ideal for traders looking for quick reactions to price changes.
- Average Length is used to smooth the oscillator further, influencing how quickly the indicator responds to trend changes. A shorter Average Length allows for a quicker response to the oscillator's movements, suitable for short-term trading strategies.
📊 Analyze the Market: Pay close attention to the color transitions and position of the Z-score in relation to its moving average for insights into market direction. Look out for the overbought and oversold conditions for potential reversal points.
🔔 Set Up Alerts: Utilize the built-in alert system to get notified of key events like trend reversals, bullish and bearish divergences, and more, so you can make timely decisions without having to constantly monitor the charts.
Basic Logic Explained:
The WaveTrend Ribbon is an advanced trading indicator that leverages the WaveTrend oscillator, enhanced by Z-score normalization and moving averages for precise market trend analysis. It calculates the average price deviation over a set period (Channel Length), smoothing it with an Average Length to identify trends. Z-score analysis further refines signals by comparing oscillator deviations against its historical performance, highlighting overbought or oversold conditions. The indicator generates signals for potential reversals and market entries/exits, visualized through dynamic color coding and customizable alerts for traders to act upon efficiently. This multi-layered approach provides a deeper insight into market dynamics, offering a blend of trend following and momentum strategies.
By highlighting overbought and oversold conditions with dynamic color changes and providing reversal signals, this indicator is a must-have tool for traders aiming to capitalize on market trends. 📈🚀
Elevate your trading experience with the WaveTrend Ribbon, your go-to indicator for navigating the markets with confidence and precision. Happy trading! 🌟🚀
Divergence Signal [TradingFinder] RSI & MACD Reversal On Swing🔵 Introduction
Sometimes in analyzing price charts using indicators, you may observe a discrepancy. For instance, while the price of stocks, currencies, or commodities is increasing, the indicator shows a decrease. Such a phenomenon in technical analysis is termed "divergence." Divergences are categorized into three types based on their formation and the prediction they make about the continuation of the price trend: "Regular Divergence," "Hidden Divergence," and "Time Divergence."
🟣 Important :
• This indicator exclusively identifies regular divergences since its primary function is to detect reversal points.
• This indicator identifies divergences using three indicators: "Moving Average Convergence Divergence" (MACD), "Relative Strength Index" (RSI), and "Awesome Oscillator" (AO). The user can choose each of these indicators in the settings using the "Divergence Detection Method" dropdown menu for identifying divergences. These settings are by default set to the MACD mode.
🔵Types of Divergence
Divergences, as mentioned, offer different predictions about the continuation of price trends. Hence, they have various types. We will focus on explaining regular divergences based on this indicator.
🟣 Regular Divergence(RD) :
Regular divergence is a situation arising from contradictory behavior between the indicator and the price chart at the end of a trend. By identifying regular divergences, we anticipate a change in trend direction resembling a reversal pattern.
Regular divergence has two types based on the trend and prediction:
Negative Regular Divergence (RD-) :
This type occurs between two price peaks at the end of an uptrend. Despite forming a new high, the indicator fails to recognize it, indicating a negative regular divergence. The likelihood of a subsequent downtrend is high. Negative divergence suggests strong selling pressure and weak buying power, portraying an unfavorable future for the stock.
Positive Regular Divergence (RD+) :
In contrast, positive regular divergence happens at the end of a downtrend and between two price troughs. As depicted in the chart, although the price forms a new low, the indicator doesn't acknowledge it. Positive regular divergence indicates robust buying pressure and weak selling power. Upon identifying positive divergence in the chart, we expect a price increase for the stock under review
🔵 How to Use
Information from the indicator is displayed in two ways: Table and Label.
🟣 Table : The table displays information about the latest divergence. This includes the type of divergence, existence or absence of divergence, consecutive divergences, divergence quality, and change in indicator phase.
Type Divergence : Indicates the type of divergence, which can be either "Bullish Divergence" or "Bearish Divergence."
Exist : Indicates the presence of divergence with a "+" sign and absence with a "-" sign. A green color is used for bullish divergence and red for bearish divergence.
Consecutive : Shows the number of consecutive divergences. For example, if there are 3 consecutive divergences, the number 3 is displayed.
Divergence Quality : Displays the quality of the divergence based on the number of consecutive divergences. If there is 1 divergence, the quality is "Normal"; for 2 divergences, it's "Good"; and for 3 or more divergences, it's "Strong."
Change Phase Indicator : Indicates whether a phase change in the indicator has occurred with "+" for yes and "-" for no.
🟣 Label : Unlike the table, which only shows information about the latest divergence, labels display information about each divergence at the point where it occurs. The information includes the type of divergence, detection method, divergence quality, consecutive divergences, and change in phase indicator. The selected method of detection is also displayed. For example, if the chosen method is the "AO" indicator, the label will show "Method: AO."
🔵 Settings
Fractal Period : Determines the period of swings. The minimum and default value is 2.
Divergence Detect Method : Selects the indicator (MACD, RSI, or AO) used for detecting divergences. The default indicator is MACD.
Show Fractal : Chooses whether to display fractals or not. The default is "No."
Show Table : Determines whether to display the table or not. The default is "Yes."
Show Label : Chooses whether to display labels or not. The default is "Yes."
Label Size : Adjusts the size of the labels from "Tiny" to "Large."
ZigZag LibraryThis is yet another ZigZag library.
🔵 Key Features
1. Lightning-Fast Performance : Optimized code ensures minimal lag and swift chart updates.
2. Real-Time Swing Detection : No more waiting for swings to finalize! This library continuously identifies the latest swing formation.
3. Amplitude-Aware : Discover significant swings earlier, even if they haven't reached the standard bar length.
4. Customizable Visualization : Draw ZigZag on-demand using polylines for a tailored analysis experience.
Stay tuned for more features as this library is being continuously enhanced. For the latest updates, please refer to the release information.
🔵 API
// Import this library. Remember to check the latest version of this library and replace the version number below.
import algotraderdev/zigzag/1 as zz
// Initialize the ZigZag instance.
var zz.ZigZag zig = zz.ZigZag.new().init(
zz.Settings.new(
swingLen = 5,
lineColor = color.blue,
lineStyle = line.style_solid,
lineWidth = 1))
// Analyze the ZigZag using the latest bar's data.
zig.tick()
// Draw the ZigZag.
if barstate.islast
zig.draw()
Cloud TrendCloud Trend Indicator ☁
The "Cloud Trend" indicator is a robust tool designed to identify and follow trends in financial markets. Leveraging Heikin Ashi principles, this indicator offers a clear visualization of trend strength and direction through the construction of a dual-line cloud.
How it works:
Principle of code is simple and efficient. Based on the loop, indicator calculates how many Heikin Ashi closes bars back are higher or lower of the current one and producing higherBars sum or lowerBars sum. In this way we have two lines from what clouds are constructed.
int higherBars = 0
int lowerBars = 0
// Heikin Ashi Close
series float h_close = math.avg(open,close,high,low)
// Calculation Lines
for i = 0 to lookbackInput - 1
if h_close < h_close
higherBars += 1
else if h_close > h_close
lowerBars += 1
Features:
Dual-Line Cloud Construction: The cloud is formed by two lines, where the upper line represents bullish momentum (aqua color) and the lower line reflects bearish momentum (red color).
Dynamic Bar Color: Traders can choose to color price bars based on trend strength. Aqua bars indicate a strong bullish trend, while red bars signify a robust bearish trend, providing valuable insights into market dynamics.
Customizable Lookback Period: Adapt the indicator to different market conditions by adjusting the lookback period. This flexibility accommodates various trading strategies and preferences.
Usage:
Cloud Color Signals: Changes in the cloud's color signal shifts in trend direction. Aqua signifies a bullish trend, while red indicates a bearish trend.
Bar Color Strength: If enabled, the color of price bars reflects the strength of the trend. Intense colors represent strong trends, offering a quick visual cue to the market's momentum.
Lookback Period Adjustment: Tailor the lookback period to match the timeframe and market conditions you are analyzing. Shorter periods capture immediate trends, while longer periods identify more sustained movements.
The "Cloud Trend" indicator, with its dual-line cloud construction, provides an intuitive way to interpret market trends. Whether you are a seasoned trader or a beginner, this tool enhances your technical analysis and supports more informed trading decisions.
QM Signal [TradingFinder] Quasimodo Pattern - Head and Shoulders🔵 Introduction
One of the patterns in "RTM" is the "QM" pattern, also known as "Quasimodo". Its name is derived from the appearance of "Hunchback of Notre-Dame" from Victor Hugo's novel. It is a type of "Head and Shoulders" pattern.
🔵 Formation Method
🟣 Upward Trend
In an upward trend, the left shoulder is formed, and the price creates a new peak higher than the left shoulder peak . After a decline, it manages to break the previous low and move upward again. We expect the price to return approximately between and to form the "QM" pattern.
🟣 Downward Trend
In a downward trend, with a price decline, a new valley is created, forming the left shoulder, and the price forms a new valley lower than the left shoulder valley . After a price increase, it manages to break the previous high and move downward again. We expect the price to return approximately between and to form the "Quasimodo" pattern.
Note: The "QM" pattern is a specific type of head and shoulders pattern in which in the first move, the previous support is broken and it's the best condition for price reversal.
🔵 Entry Conditions for "Buy" and "Sell"
🟢 Buy
Buy Position : When a complete "QM" pattern is formed in a downtrend; we expect the price to reach the left shoulder area (with confirmation) during the retracement to enter the "BUY" position.
Profit Target in Buy Scenario : Expecting a move to the peak that broke it and the highest point in the current "Swing".
Stop Loss : Below the "Head," which is the lowest point.
🔴 Sell
Sell Position : When a "QM" pattern is formed in an uptrend, we look for entry into the "Sell" position as the price retraces to the left shoulder area.
Profit Target in Sell Scenario : Expecting a move to the price floor that has been broken and the entire "Swing" or .
Take Profit : Above the highest point or above the area will be the "SL" region.
Note : Certainly, no method alone guarantees trading capability and requires different confirmations. This indicator only detects the "QM" pattern, and the rest of the analysis will be the responsibility of the user.
Note : These profit and loss limits are based on market movements and will be provided as approximate and supportive.
ZigZag Multi [TradingFinder] Trend & Wave Lines - Structures🔵 Introduction
"Zigzag" is an indicator that forms based on price changes. Essentially, the function of this indicator is to connect consecutive and alternating High and Low pivots. This pattern assists in analyzing price changes and can also be used to identify classic patterns. "Zigzag" is an analytical tool that, by filtering partial price movements based on the specified period, can identify price waves across different time frames (short or long term).
🔵 Reason for Creation
The combination of "short term zigzag" and "long term zigzag" enhances accuracy and reduces analysis time. In a time frame, "long term zigzag" represents the main trend, while "short term zigzag" depicts short-term waves.
🔵 How to Use
After selecting the desired time frame and adding "zigzag" to the chart, begin utilization. Keep in mind to identify the main market trend from "long term zigzag" and the minor waves from "short term zigzag".
🟣 Important: Additionally, classic patterns such as HH, LH, LL, and HL can be recognized. All traders analyzing financial markets using classic patterns and Elliot Waves can benefit from the "zigzag" indicator to facilitate their analysis.
🔵 Settings
Short term zigzag : In this section, you can adjust settings such as time frame range, display mode, color, and line width of the zigzag lines.
Short term label : This section allows you to activate or deactivate the display of zigzag labels according to your needs. You can also customize their color and size.
Long term zigzag : Here, you can adjust settings for time frame range, display mode, color, and line width of zigzag lines.
Long term label : Similar to short term label settings.
The recommended time frame for "long term zigzag" is between 9 to 15, and for "short term zigzag" is between 3 to 5.
🟣 Important Notes :
Considering the different behaviors of financial markets and various time frames, it is recommended to experiment with different time frame settings when using "zigzag" to find the best settings for each symbol and time frame, thereby preventing potential errors.
🟣 Terminology Explanations :
"HH": When the price is higher than the previous peak (Higher High).
"HL": When the price is higher than the previous low (Higher Low).
"LH": When the price is lower than the previous peak (Lower High).
"LL": When the price is lower than the previous low (Lower Low).
Awesome Oscillator + Bars count lines + EMA LineThe indicator includes an Awesome Oscillator with 2 vertical lines at a distance of 100 and 140 bars from the last bar to determine the third Elliott wave by the maximum peak of AO in the interval from 100 to 140 bars according to Bill Williams' Profitunity strategy. Additionally, a faster EMA line is displayed that calculates the difference between 5 Period and 34 Period Exponential Moving Averages (EMA 5 - EMA 34) based on the midpoints of the bars, just like AO calculates the difference between Simple Moving Averages (SMA 5 - SMA 34).
In the indicator settings, you can change the number of bars for vertical lines and any parameters for AO and EMA - method (SMA, Smoothed SMA, EMA and others), length, source (open, high, low, close, hl2 and others).
***
Индикатор включает Awesome Oscillator с 2 вертикальными линиями на расстоянии 100 и 140 баров от последнего бара, чтобы определить третью волну Эллиота по максимальному пику AO в интервале от 100 до 140 баров по стратегии Profitunity Билла Вильямса. Дополнительно отображается более быстрая линия EMA, которая вычисляет разницу между 5 Периодной и 34 Периодной Экспоненциальными Скользящими Средними (EMA 5 - EMA 34) по средним точкам баров (hl2), точно так же, как AO вычисляет разницу между Простыми Скользящими Средними (SMA 5 - SMA 34).
В настройках индикатора вы можете изменить количество баров для вертикальных линий и любые параметры для AO и EMA – метод (SMA, Smoothed SMA, EMA и другие), длину, источник (open, high, low, close, hl2 и другие).
Visible bars count on chart + highest/lowest bars, max/min AOThe indicator displays the number of visible bars on the screen (in the upper right corner), including the prices of the highest and lowest bars, the maximum or minimum value of the Awesome Oscillator (similar to MACD 5-34-5) for identify the 3-wave Elliott peak in the interval of 100 to 140 bars according to the Profitunity strategy of Bill Williams. The values change dynamically when scrolling or changing the scale of the graph.
In the indicator settings, you can hide labels, lines and change any parameters for the AO indicator - method (SMA, Smoothed SMA, EMA and others), length, source (open, high, low, close, hl2 and others).
‼️ The values are updated within 2-3 seconds after changing the number of visible bars on the screen.
***
Индикатор отображает количество видимых баров на экране (в правом верхнем углу), в том числе цены самого высокого и самого низкого баров, максимальное или минимальное значение Awesome Oscillator (аналогично MACD 5-34-5), чтобы определить пик 3-волны Эллиота в интервале от 100 до 140 баров по стратегии Profitunity Билла Вильямса. Значения меняются динамически при скроллинге или изменении масштаба графика.
В настройках индикатора вы можете скрыть метки, линии и изменить любые параметры для индикатора AO – метод (SMA, Smoothed SMA, EMA и другие), длину, источник (open, high, low, close, hl2 и другие).
‼️ Значения обновляются в течении 2-3 секунд после изменения количества видимых баров на экране.
Ichimoku OscillatorHello All,
This is Ichimoku Oscillator that creates different oscillator layers, calculates the trend and possible entry/exit levels by using Ichimoku Cloud features.
There are four layer:
First layer is the distance between closing price and cloud (min or max, depending on the main trend)
Second layer is the distance between Lagging and Cloud X bars ago (X: the displacement)
Third layer is the distance between Conversion and Base lines
Fourth layer is the distance between both Leadlines
If all layers are visible maning that positive according to the main trend, you can take long/short position and when main trend changed then you should close the position. so it doesn't mean you can take position when main trend changed, you need to wait for all other conditions met (all layers(
there is take profit partially option. if Conversion and base lines cross then you can take profit partially. Optionally you can take profit partially when EMA line crosses Fourth layer.
Optionally ATR (average true range) is used for Conversion and baseline for protection from whipsaws. you can use it to stay on the trend longer time.
I added options to enable/disable the alert and customize alert messages. You can change alert messages as you wish. if you use ' close ' in the alert message then you can get closing price in the alert message when the alert was triggered.
There is an option Bounce Off Support/Resistance , if there is trend and if the price bounce off Support/Resistance zone then a tiny triangle is shown.
There are many other options for coloring, alerts etc.
Some screenshots:
Main trend:
Taking/closing positions:
Example alert messages:
Bounce off:
Colors:
Colors:
Colors:
Non-colored background:
P.S. For a few months I haven't published any new script because of some health issues. hope to be healthy and create new scripts in 2024 :)
Enjoy!
FVG Detector [TradingFinder] Fair Value Gap-Imbalance-Mitigated🔵 Introduction
When the market makes a strong move in the form of a "Marubozu" or "Spike" candlestick and consecutive candles move without a retracement, the maximum place where a "FVG" or "Fair Value Gap" is created.
🔵 Definition
To describe this precisely, whenever a move occurs where the current candle does not cover the body of the previous and subsequent candles, a fair value gap is created.
Important : The significant point is that, because there is no equilibrium between buyers and sellers in these conditions, and market power is in the hands of buyers or sellers, the market is likely to move towards these areas.
An example of "FVG" in a price increase where we expect buying on the return to it.
An example of "FVG" in a downward trend where the market will move towards it in a downward direction.
🔵 How to Use
🟣 Bearish FVG
In a downward trend, "orange boxes" are drawn, which are the same and can act as "support" zones along the downward path, and we expect the price to continue its downward trend on return.
🟣 Bullish FVG
In an upward trend, "green boxes" are drawn, which are . They act exactly like support in the upward path, and we expect the price to continue its upward trend on return.
🟣 Auxiliary Definitions
Imbalance : As mentioned above, market power is in the hands of one of the two sides, buyers or sellers, and a non-equilibrium zone is created. It may be completed in whole or in part in subsequent price movements.
Mitigated : If the price returns to the "FVG" area and fills it, we call it "Mitigated," and most "pending" or "profit and loss limits" positions are executed. We will not have a specific reaction on the return of the price.
🔵 Settings
Very Aggressive : In addition to the initial condition, another condition is added. For an upward FVG, the maximum price of the last candle should be larger than the middle candle's maximum price. Similarly, for a downward FVG, the minimum price of the last candle should be smaller than the middle candle's minimum price. In this mode, a very small number of FVGs are eliminated.
Aggressive : In addition to the conditions of the Very Aggressive mode, in this mode, the size of the middle candle should not be small. In this mode, a larger number of FVGs are eliminated.
Defensive : In addition to the conditions of the Very Aggressive mode, in this mode, the size of the middle candle should be relatively large, and the majority of it should be made up of the body. Additionally, to identify upward FVGs, the second and third candles must be positive, and to identify downward FVGs, the second and third candles must be negative. In this mode, a large number of FVGs are eliminated, leaving only those with suitable quality.
Very Defensive : In addition to the conditions of the Defensive mode, the first and third candles should not be very small-bodied doji candles. In this mode, the majority of FVGs are filtered out, leaving only the highest quality ones.
🔵 Features
Show Demand FVG : Displays demand-related boxes, which can be "off" and "on."
Show Supply FVG : Displays supply-related boxes along the path, and can be turned "off" and "on."
🔵 Indicator Advantages
In this indicator, I have implemented 4 types of "filters" that allow you to select one based on the trading symbol, timeframe, etc. From "Very Aggressive" to "Very Defensive" mode, it is possible to select.
In most indicators, all FVGs are displayed, and the chart becomes full of lines. But this unique feature allows the trader to manage the drawing of boxes.
