Variety Moving Averages w/ Dynamic Zones [Loxx]Variety Moving Averages w/ Dynamic Zones contains 33 source types and 35+ moving averages with double dynamic zones levels.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
Bar coloring
Alerts
Channels fill
Loxx's Expanded Source Types
35+ moving average types
Komut dosyalarını "bear" için ara
Williams %R on Chart w/ Dynamic Zones [Loxx]Williams %R on Chart w/ Dynamic Zones is a Williams %R indicator but instead of being an oscillator it appears on chart. The WPR calculation used here leverages T3 moving average for its calculation. In addition, the WPR is bound by Dynamic Zones.
What is Williams %R?
Williams %R , also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
What is T3 moving average?
Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
Bar coloring
Channels fill
Loxx's Expanded Source Types
35+ moving average types
Dynamic Zones Polychromatic Momentum Candles [Loxx]Dynamic Zones Polychromatic Momentum Candles is a candle coloring, momentum indicator that uses Jurik Filtering and Dynamic Zones to calculate the monochromatic color between two colors.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
Loxx's Expanded Source Types
loxxdynamiczoneLibrary "loxxdynamiczone"
Dynamic Zones
Derives Leo Zamansky and David Stendahl's Dynamic Zone,
see "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
dZone(type, src, pval, per)
method for retrieving the dynamic zone levels from input source.
Parameters:
type : string, value of either 'buy' or 'sell'.
src : float, source, either regular source type or some other caculated value.
pval : float, probability defined by extension over/under source, a number <= 1.0.
per : int, period lookback.
Returns: float dynamic zone level.
usage:
dZone("buy", close, 0.2, 70)
Double Dynamic Zone RSX [Loxx]Double Dynamic Zone RSX is a Juirk RSX RSI indicator using Leo Zamansky and David Stendahl's Dynamic Zones to determine breakouts, breakdowns, and reversals.
What is RSX?
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurik RSX retains all the useful features of RSI , but with one important exception: the noise is gone with no added lag.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph.D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Andean OscillatorThe following script is an original creation originally posted on the blog section of the broker Alpaca.
The proposed indicator aims to measure the degree of variations of individual up-trends and down-trends in the price, thus allowing to highlight the direction and amplitude of a current trend.
Settings
Length : Determines the significance of the trends degree of variations measured by the indicator.
Signal Length : Moving average period of the signal line.
Usage
The Andean Oscillator can return multiple information to the user, with its core interpretation revolving around the bull and bear components.
A rising bull component (in green) indicates the presence of bullish price variations while a rising bear component (in red) indicates the presence of bearish price variations.
When the bull component is over the bear component market is up-trending, and the user can expect new higher highs. When the bear component is over the bull component market is down-trending, and the user can expect new lower lows.
The signal line (in orange) allows a more developed interpretation of the indicator and can be used in several ways.
It is possible to use it to filter out potential false signals given by the crosses between the bullish and bearish components. As such the user might want to enter a position once the bullish or bearish component crosses over the signal line instead.
Details
Measuring the degree of variations of trends in the price by their direction (up-trend/down-trend) can be done in several way.
The approach taken by the proposed indicator makes use of exponential envelopes and the naive computation of standard deviation.
First, exponential envelopes are obtained from both the regular prices and squared prices, thus giving two upper extremities, and two lower extremities.
The bullish component is obtained by first subtracting the upper extremity of the squared prices with the squared upper extremity of regular prices, the square root is then applied to this result.
The bearish component is obtained in the same way, but makes use of the lower extremities of the exponential envelopes.
RSI Scalping & Swing Signals With AlertsThis RSI indicator shows a green or red ribbon when the smoothed RSI is bullish or bearish. It also includes a long moving average for overall trend confirmation. Wait until the ribbon holds above or below the long moving average and take positions in that direction.
To get an easier to read RSI indicator, I smoothed the RSI out and paired it next to a short term RMA. These two together form the ribbon that will show you early reversals and trend direction. The long moving average is used as an overall trend detector and confirmation for longer term trends.
***HOW TO USE***
Scalping: Enter longs when the ribbon turns green and enter shorts when the ribbon turns red. Exit positions when the ribbon turns the opposite color or crosses the long moving average.
Swing Trading: When the ribbon holds above the long moving average or breaks out and retests it, look for long positions and exit when the ribbon turns red or crosses the long moving average. When the ribbon holds below the long moving average or breaks down and retests it, look for short positions and exit when the ribbon turns green or crosses the long moving average.
***DETAILS***
This indicator gives early reversal signals very well and waiting for the RSI ribbon to cross the long moving average helps to get you into positions when the market is ready to really move while filtering out some of the noise.
The ribbon and background will change to green or red depending on whether it is currently bullish or bearish.
There is also a label that changes colors and tells you if RSI is bullish or bearish and also whether the RSI ribbon is above or below the long moving average.
Green or red circles will appear on the indicator when there is a bullish or bearish cross of the RSI ribbon and the long moving average.
It also has alerts that trigger when RSI is turning bullish/bearish or when the RSI ribbon is crossing the long moving average.
***CUSTOMIZATION***
Each piece of this indicator can be customized to suit your preferences including the RSI source, length, smoothing length, short moving average length and long moving average length. You can also turn off the labels, signals and long moving average. All of these settings can be managed within the indicator settings input tab.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This RSI Scalping & Swing Signals indicator can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are Trend Friend Scalp & Swing Trade Signals, Volume Spike Scanner, Buy & Sell Pressure Volume Profile, and Momentum Scalper in combination with this RSI indicator. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
Momentum Scalping & Swing Signals With AlertsThis Momentum indicator shows a green or red ribbon when smoothed momentum is bullish or bearish. It also includes a long moving average for overall trend confirmation. Wait until the ribbon holds above or below the long moving average and take positions in that direction.
To get an easier to read momentum indicator, I smoothed the momentum out and paired it next to a short term RMA. These two together form the ribbon that will show you early reversals and trend direction. The long moving average is used as an overall trend detector and confirmation for longer term trends.
***HOW TO USE***
Scalping: Enter longs when the ribbon turns green and enter shorts when the ribbon turns red. Exit positions when the ribbon turns the opposite color or crosses the long moving average.
Swing Trading: When the ribbon holds above the long moving average or breaks out and retests it, look for long positions and exit when the ribbon turns red or crosses the long moving average. When the ribbon holds below the long moving average or breaks down and retests it, look for short positions and exit when the ribbon turns green or crosses the long moving average.
***DETAILS***
This indicator gives early reversal signals very well and waiting for the momentum ribbon to cross the long moving average helps to get you into positions when the market is ready to really move while filtering out some of the noise.
The ribbon and background will change to green or red depending on whether it is currently bullish or bearish.
There is also a label that changes colors and tells you if momentum is bullish or bearish and also whether the momentum ribbon is above or below the long moving average.
Green or red circles will appear on the indicator when there is a bullish or bearish cross of the momentum ribbon and the long moving average.
It includes alerts that trigger when momentum is turning bullish/bearish or when the momentum ribbon is crossing the long moving average.
***CUSTOMIZATION***
Each piece of this indicator can be customized to suit your preferences including the momentum source, length, smoothing length, short moving average length and long moving average length. You can also turn off the labels, signals and long moving average. All of these settings can be managed within the indicator settings input tab.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This Momentum Scalping & Swing Signals indicator can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are Trend Friend Scalp & Swing Trade Signals, Volume Spike Scanner, Buy & Sell Pressure Volume Profile, and RSI Scalper in combination with this momentum indicator. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
Volume Spikes & Growing Volume Signals With Alerts & ScannerVOLUME SPIKES & GROWING VOLUME SIGNALS WITH ALERTS & SCANNER
This indicator shows arrows when there is a volume spike. It also paints the background when volume is growing. There is also a volume scanner for 8 tickers that will change color in real time when your other favorite tickers see volume growth and spikes.
You can customize the length of DMI, the number of bars to calculate the current volume average from, the number of bars back to get the overall volume average from, the multiple that needs to be hit to give a signal, the position of the scanner table and which tickers are used in the scanner. There are detailed directions as tooltips in the indicator settings you can read to understand exactly what each input does.
All features are customizable as well as which tickers the screener uses.
***HOW TO USE***
Watch for volume to pick up before placing trades as this will help you stay out of the markets when price is choppy. Volume usually brings volatility so watch for the volume signals to show up on the chart. Typically when price has made a big move one direction or is consolidating and you see the volume indicator start giving signals, the market is ready to reverse or continue its current trend but move faster in that direction.
Volume Spikes
When there is a volume spike that is larger than the average of volume over the last 100+ bars(depending on your settings) multiplied by the volume amount multiplier(in your settings) then an arrow will show up on the chart. This arrow will be green if DMI is bullish and red if DMI is bearish.
Volume Growth
A Background color will appear when the average volume over the last 5 bars(depending on your settings) is higher than the average volume over the last 100+ bars(depending on your settings) and is greater than your multiple. It will also paint the background when the volume moving average has increased over the last 3 bars consecutively. The background colors will be red or green depending on buy & sell pressure(DMI). If the background color appears, then you know volume is growing and volatility is near.
Volume Scanner
The scanner can be customized to have all of your favorite tickers by changing the tickers used in the indicator settings at the bottom. When no volume growth or spikes are detected, the ticker will show as light blue. When volume spikes or growth is detected, the ticker will turn orange to notify you.
Alerts
You can set up alerts as well when there is volume growth, bullish volume spikes and bearish volume spikes on any chart or timeframe.
Indicator Settings
Settings will need to be adjusted across different tickers as some have large swings in volume and some stay pretty even, so make sure to set up different chart layouts with settings that work for each ticker and save them individually so you don’t have to reset these values every time you switch charts.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex as long as Tradingview has volume and DMI data for that ticker.
***TIMEFRAMES***
This volume spike indicator can be used on all timeframes as long as there is enough data for Tradingview to use for calculations.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Volume Profile, Momentum, Auto Support And Resistance and Money Flow Index in combination with this Volume Growth indicator. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
Botvenko ScriptI just test&learn pine script...
Damn, what should I write here? So... Its just a differense between the logarithms of two prices of different periods (You can set the period you want)... And it looks really nice... Ahem...
I hope, you enjoy this piece of... Have a nice day, my dear.
Strategy LinReg ST@RLStrategy LinReg ST@RL
Strategy LinReg ST@RL is a visual trend following indicator.
It is compiled in PINE Script Version V5 language.
This indicator/strategy, based on Linear Regression Calculation, is intended to help beginners (and also the more experienced ones) to trade in the right direction of the market trend and test strategy. It allows you to avoid the mistakes of always trading against the trend.
Strategy based on an original idea of @KivancOzbilgic (SuperTrend) and DevLucem (@LucemAnb) (Lin Reg ++)
A special credit goes to - KivancOzbilgic and @LucemAnb which inspired me a lot to improve this indicator/Strategy.
This indicator can be configured to your liking,according to your needs or your tastes.
The indicator/Strategy works in multi time frame.
The settings (length, offset, deviation, smoothing) are identical for all time frames if “Conf Auto” is not checked.
In this case the default settings (time frame=H1 settings) apply for all time frames.
The choice of source setting is common for all time frames.
If “Auto Conf” is checked,
then the settings will be optimized for each selected time frame (1m-3m H2 H3 H1 H4 & Daily). Time frames, other than 1m-3m H2 H3 H1 H4 & Daily will be affected with the default settings corresponding to the H1 time frame and will therefore not be optimized! The default setting values of each time frame (1m-3m H2 H3 H1 H4 & Daily) can be configured differently and optimized by you.
REVERSAL mode: Signal Buy=Sell and Signal Sell=Buy.
This option may be better than the regular strategy. Default mode is Reversal option.
Note that only for 1m (1 minute) Time frame, the option REVERSAL is opposite as default choice in configuration. (If reversal option is checked, then option for time frame 1m is not reversal!)
Trend indications (potential sell or buy areas) are displayed as a background color (bullish: green or bearish: red), assume that the market is moving in one direction.
You can tune the input, style and visibility settings to match your own preferences or habits.
Label Info (Simple or Full) gives trend info for each Exit (or current trade)
The choice of indicator colors is suitable for a graph with a "dark" theme, which you will probably need to modify for visual comfort, if you are using a "Light" mode or a custom mode.
This script is an indicator that you can run on standard chart types. It also works on non-standard chart types but the results will be skewed and different.
Non-standard charts are:
• Heikin Ashi (HA)
• Renko
• Kagi
• Point & Figure
• Range
As a reminder: No indicator is capable of providing accurate signals 100% of the time. Every now and then, even the best will fail, leaving you with a losing deal. Whichever indicator you base yourself on, remember to follow the basic rules of risk management and capital allocation.
BINANCE:BTCUSDT
! Français !
Strategy LinReg ST@RL
Stratégie LinReg ST@RL est un indicateur visuel de suivi de tendance.
Il est compilé en langage PINE Script Version V5.
Stratégie basée sur une idée originale de @KivancOzbilgic (SuperTrend) et DevLucem (@LucemAnb) (Lin Reg ++) Un crédit spécial va à - KivancOzbilgic et @LucemAnb qui m'ont beaucoup inspiré pour améliorer cet indicateur/stratégie.
Cet indicateur/strategie, basé sur le calcul de régression linéaire, est destiné à aider les débutants (et aussi les plus expérimentés) à trader dans le bon sens de la tendance du marché et à tester la stratégie. Cela vous permet d'éviter les erreurs de toujours négocier à contre-courant.
Cet indicateur peut être configuré à votre guise, selon vos besoins ou vos goûts.
L'indicateur/Stratégie fonctionne sur plusieurs bases de temps.
Les réglages (longueur, décalage, déviation, lissage) sont identiques pour toutes les bases de temps si
« Conf Auto » n'est pas coché. Dans ce cas, les paramètres par défaut (intervalle de temps=paramètres H1) s'appliquent à toutes les bases de temps.
Le choix du réglage de la source est commun à toutes les bases de temps.
Si "Auto Conf" est coché, alors les paramètres seront optimisés pour chaque base de temps sélectionnée (1m-3m H2 H3 H1 H4 & Daily). Les bases de temps, autres que 1m-3m H2 H3 H1 H4 & Daily seront affectées par les paramètres par défaut correspondant à la base de temps H1 et ne seront donc pas optimisées ! Les valeurs de réglage par défaut de chaque période (1m-3m H2 H3 H1 H4 & Daily) peuvent être configurées différemment et optimisées par vous.
Mode REVERSAL : Signal Achat=Vente et Signal Vente=Achat. Cette option peut être meilleure que la stratégie habituelle. Le mode par défaut est l'option REVERSAL.
Notez que seulement pour la base de temps de 1m (1 minute), l'option REVERSAL est l’opposée du choix par défaut dans la configuration. (Si l'option REVERSAL est cochée, alors l'option pour la base de temps 1 m n'est pas REVERSAL !)
Les indications de tendance (zones potentielles de vente ou d'achat) sont affichées en couleur de fond (haussier : vert ou baissier : rouge), supposons que le marché évolue dans une direction. Vous pouvez ajuster les paramètres d'entrée, de style et de visibilité en fonction de vos propres préférences ou habitudes.
Les informations sur l'étiquette (simples ou complètes) donnent des informations sur de chaque clôture (ou position en cours)
Le choix des couleurs des indicateurs est adapté à un graphique avec un thème "sombre", qu'il vous faudra probablement modifier pour le confort visuel, si vous utilisez un mode "Clair" ou un mode personnalisé.
Ce script est un indicateur que vous pouvez exécuter sur des types de graphiques standard. Cela fonctionne également sur les types de graphiques non standard, mais les résultats seront faussés et différents.
Les graphiques non standard sont :
• Heikin Ashi (HA)
• Renko
• Kagi
• Point & Figure
• Range
Pour rappel : Aucun indicateur n'est capable de fournir des signaux précis 100% du temps. De temps en temps, même les meilleurs échoueront, vous laissant avec une affaire perdante. Quel que soit l'indicateur sur lequel vous vous basez, rappelez-vous de suivre les règles de base de la gestion des risques et de l'allocation du capital.
Ichimoku Cloud MasterIchimoku Cloud Master aims to provide the ichimoku trader with easy alert functionality to not miss out on valuable trade setups. The key purpose of this script is to better visualise crucial moments in Ichimoku trading. These alerts should not be used for botting in my opinion as they always need a human to confirm the ichimoku market structure. For example, is the Kijun-Sen flat and too far away from price? A good ichimoku trader will not enter at such a point in time.
Explanation of script:
Chikou(lagging span): pink line, this is price plotted 26 bars ago. People ignore the power of this it is crucial to see how chikou behaves towards past price action as seen in the chart below where we got an entry at red arrow because chikou bounced from past fractal bottom.
Kijun-Sen(base line): Black line or color coded line. This is the equilibrium of last 26 candles. To me this is the most important line in the system as it attracts price.
Kijun = (Highest high of 26 periods + Lowest low of 26 periods) ÷ 2
Tenkan-Sen(conversion line): Blue line. This is the equilibrium of last 9 candles. In a strong uptrend price stays above this line.
Tenkan = (Highest high of 9 periods + Lowest low of 9 periods) ÷ 2
Senkou A (Leading span A)= Pink cloud line, this is the average of the 2 components projected 26 bars in the future.
Senkou A = (Tenkan + Kijun) ÷ 2
Senkou B (Leading span B) = Green cloud line, this is the 52 day equilibrium projected 26 bars in the future.
Senkou B = (Highest high of prior 52 periods + Lowest low of prior 52 periods) ÷ 2
Notice how the distance between Chikou and the cloud is also 52 bars. This is all part of Hosoda's numbers which I am not going to explain here.
Fractals: These are the black triangles you find at key turning point. If you want to know how they work reseach williams fractals. I've used fractals with a period of 9 as it is an ichimoku number. These fractals are useful when working with ichimoku wave theory. Again I will not explain that here but in further education
Fractal Support: Ability to extend lines from the fractals which can be used as an entry/exit mechanism in your trading. For example wait for tenkan to cross kijun and then enter on fractal breakout.
Signals:
Crossing of Chikou (lagging span) with past Kijun-Sen: this will color code the Bars / Kijun-Sen (you can turn this off in options)
The script also has a signal for this, this will be the green and purple diamonds. Where green is bullish and purple is bearish.
wy is this important?
When current price plotted 26 candles back (chikou) crosses over the past equilibrium (kijun-sen) this usualy means price has moved past resistance levels where sellers come in. This indicates a switch in market structure and price is bullish from this point, this is the same in the other direction.
Kumo Twist: when the kumo cloud (future) has a crossover from for example green to red (bull to bear). The script plots these using the colored cross symbols as seen in the picture above. A chikou cross + a Kumo twist at same bar of next to eachother below the cloud can be a great entry sign: this would be an entry after cross in the chart above.
Kijun Bounce: when in an uptrend the price retraces back to Kijun-Sen and starts to go back up. These are marked by the yellow circles as seen in chart below:
low below Kijun-Sen and close above it
Strong Trend: when Tenkan is above Kijun, price above cloud, future cloud green, chikou above close, chikou above Kijun we establish a strong bullish trend. For bearish the exact opposite. The script has a function to send an alert at the start of such trends and to plot them with small colored circles above the bars.
Customisation:
I've added options to disable specific aspects of the indicator for those traders who do not want to use all aspects of the indicator. In the customisation tab I've given each part a clear title so you can use your own colors/shapes.
The perfect entry?
Further info:
Look into my education pane, I will be adding education in the future. The chance of me making a more advanced version of the script including line forecasting etc is rather high so watch out for that.
For those who want to master this system I recommend reading the book:
How to make money with the ichimoku system by Balkrishna M. Sadekar
Or the originals books by Hosoda the inventor of Ichimoku if you can get your hands on them and can read Japanese.
Almost all info about the ichimoku system you find on the internet will lose you money because they reduce the system to simple signals that do not generate money.
I will be providing educational material on tradingview using this indicator.
Directional Movement Index + Fisher Price Action With LabelsDIRECTIONAL MOVEMENT INDEX + FISHER PRICE ACTION WITH LABELS
Directional Movement Index shows buy and sell pressure.
Fisher transform shows price action trending bullish or bearish.
Caution dots notify you of conflicting trends.
***HOW TO USE***
The top lines are the fisher transform showing you the price action trend.
The bottom lines filled with color shows the DMI directional movement index.
The yellow dots at the bottom tell you if these two indicators are currently giving conflicting signals.
DMI
If the green line is above the red line and the background is colored green, there is more market buying than selling.
If the red line is above the green line and the background is colored red, there is more market selling than buying.
FISHER TRANSFORM
If the lines are painted green, the price action is trending up.
If the lines are painted red, the price action is trending down.
CAUTION DOTS
If a yellow dot shows up at the bottom of the chart, it is notifying you that the DMI and Fisher Transform are currently giving opposite signals…. so use caution.
***BULLISH/BEARISH LABEL***
There is also a label on the right side that tells you whether there is more buying or selling. This table updates in real time and changes colors so you can get an easy, quick interpretation of the current buy/sell pressure without having to look at the indicator data so you can make faster decisions on whether to enter or exit a trade.
Green means more market buying than selling.
Red means more market selling than buying.
Blue means an equal amount of market buying and selling.
If buying pressure is bullish but below the 20 level, a second label will show up in purple letting you know there is weak buying pressure so use caution.
If selling pressure is bearish but below the 20 level, a second label will show up in purple letting you know there is weak selling pressure so use caution.
There is a third label showing the current trend of the fisher transform. Green means bullish price action. Red means bearish price action.
The fourth label is orange and only shows up when the DMI and Fisher Transform are currently giving opposite signals, so make sure you use caution during those times.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This directional movement index + fisher transform indicator can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Volume Profile, Momentum, Auto Support And Resistance and Money Flow Index in combination with this Directional Movement Index + Fisher Transform. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
TRADING MADE SIMPLEThis indicator shows market structure. The standard method of using Williams Highs and Lows as pivots, is something of an approximation.
What's original here is that we follow rules to confirm Local Highs and Local Lows, and strictly enforce that a Low can only follow a confirmed High and vice-versa.
-- Highs and Lows
To confirm a candle as a Local High, you need a later candle to Close below its Low. To confirm a Local Low, you need a Close above its High.
A Low can only follow a High (after it's been confirmed). You can't go e.g High, High, Low, Low, only High, Low, High, Low.
When price makes Higher Highs and Higher Lows, market structure is said to be bullish. When price makes Lower Lows and Lower Highs, it's bearish.
I've defined the in-between Highs and Lows as "Ranging", meaning, neutral. They could be trend continuation or reversal.
-- Bullish/Bearish Breaks
A Bullish break in market structure is when the Close of the current candle goes higher than the previous confirmed Local High.
A Bearish Break is when the Close of the current candle goes lower than the most recent confirmed Local Low.
I chose to use Close rather than High to reduce edge case weirdness. The breaking candle often ends up being a big one, thus the close of that candle can be a poor entry.
You can get live warnings by setting the alert to Options: Only Once, because during a candle, the current price is taken as the Close.
Breaks are like early warnings of a change in market bias, because you're not waiting for a High or Low to be formed and confirmed.
Buy The Dip / Sell The Rally
Buy The Dip is a label I gave to the first Higher Low in a bullish market structure. Sell The Rally is the first Lower High in a bearish market structure.
These *might* be good buying/selling opportunities, but you still need to do your own analysis to confirm that.
== USAGE ==
The point of knowing market structure is so you don't make bullish bets in a bearish market and vice versa -
or if you do at least you're aware that that's what you're doing, and hopefully have some overwhelmingly good reason to do so.
These are not signals to be traded on their own. You still need a trade thesis. Use with support & resistance and your other favourite indicators.
Works on any market on any timeframe. Be aware that market structure will be different on different timeframes.
IMPORTANT: If you're not seeing what you expect, check your settings and re-read this entire description carefully. Confirming Highs and Lows can get deceptively complex.
PVSRA Volume Price - Some people say "Price Action is King". I say, we cannot know how the MMs (Market Makers) will move price next, period. But price tends to consolidate above key SR when MMs are filling short orders for SM (Smart Money) and long orders for DM (Dumb Money), and price tends to consolidate below key SR when MMs are filling long orders for SM and short orders for DM. The MMs are also "SM", and they tend to do the other SMs "one better"! This means that after the MMs fill the SM/DM orders, they might move price a bit further in an attempt to stop out some of those SM executed orders and sucker in more DM; both giving liquidity for the MMs to add to their own SM side position. Yes, the MMs are bastards. But the point is that could leave price not "nicely" above or below a SR anymore, yet more consolidation can occur.
Volume - Increases in activity denote increase in interest. But, is it long or short interest? Where is price in the bigger picture when this is happening? Is it at relative highs, or lows in the overall price action? And if a high volume bar is for a candle which you can examine by going to lower TF charts, you might see where in the spread of that candle the most volume occurred, high or low! Using volume is about taking note of relative increases in volume and what price is doing at the same time. Are the better volumes favoring the lower or the higher prices, as the MMs waffle price up and down? And do the volumes get particularly notable when the MMs take price above or below key SR?
S&R - Read all about S&R at "Baby Pips.com". What I want you to realize here is that the whole, half and quarter numbered price levels (hereinafter referred to as "Levels") are the most important SR of all in this market! Not because price stops, pauses, proceeds or reverses there, but because it is above or below these levels that important consolidation (MMs filling SM orders) takes place. Once SM long orders are filled, they become interested in placing orders to close them at higher prices, and hence the MMs will be moving price higher, eventually. Once SM short orders are filled, they become interested in placing orders to close them at lower prices, and hence the MMs will be moving price lower, eventually.
PVSRA - If we can spot consolidations above/below key SR, examine the overall price action on various TF charts, and take note of where the notable increases in volume have most recently occurred (did volume favor relative highs or lows), then we can build a consensus about what kind of orders the MMs have most recently been filling; buying to open longs or close shorts, or selling to open shorts or close longs. And we can get a better idea if things will next become bullish or bearish. And once PA confirms our bullish or bearish PVSRA results, by recognizing the importance of Levels we can look beyond current PA in the direction it is going and look to historic PA S&R (consolidation around key Levels) to come up with candidates for where the price might be headed. And bull or bear swings typically run in terms of 100+, 150+, 200+ pips, .....etc. And now you know why.
Okay. Now, if this is your first introduction to PVSRA, and having just read the above, you are likely scratching your head and still confused. That is normal. I will tell you a secret about the market and why you have a right to be confused. The secret is this. The market cannot be defined by mathematics nor by immutable logic. This is why the most advanced mathematicians over a century have never even come close to cracking the market. It cannot be done. Something else, other than math and immutable logic is the fundamental operand in the market. Have you ever watched a child attempt a jigsaw puzzle for the first time? And watched as that child grew and attempted more of them, and more complex ones? What is at work in the market I will elaborate on later, but for now trust me in this. We need to apply ourselves to learning how to do PVSRA just as a child attacks learning how to do jigsaw puzzles. And we must continue doing PVSRA, because in time our mind will "learn" when we have just picked up an important piece of the puzzle, and that we know where it goes! Developing the skill of PVSRA is an art form. We must not allow ourselves to feel badly if we miss clues. PVSRA is an art form that takes time to perfect. Over time our skill will grow and our "read" of the unpredictable market will improve. We must take to ongoing learning and application of PVSRA.
Introduction to How the Market Really Works
Does anybody remember the "lil' Abner" cartoons in the Sunday papers? Let me draw for you a mental picture of how the market really works.....
Imagine Daddy Yokum ferociously racing a buckboard wagon up and down the steep inclines and declines in the rough, rocky mountain road that has sharp turns and a sheer cliff on one side. The wagon wheels are spewing rocks off the side of the cliff! Even Daddy Yokum's shotgun is going off due to the jolting of the buckboard! Daddy Yokum has a demented look on his face, but he is smiling! The horse has a wild look in it's eyes and is frothing at the mouth. There are two passengers being tossed around in the back of the buckboard, terror stricken! Now, let's pan back from this cartoon picture and place the labels needed. On the side of the wagon is the sign "Market Pricing". The demented, smiling Daddy Yokum, is the Market Maker. The passengers being tossed around are the buyers and sellers.
.....Got it? Market prices are not determined by the buyers and sellers. They are determined by the Robber Bank Market Makers (MMs).
MMs are Market Manipulators of Price, and Thieves!
The "market" is the sole creation of the Robber Banks that "make the market". While it serves the world of commerce, they run it to make profits. And they opened the market up to foster prolific currency trading by others for the sole purpose of making more profits. They move prices up and down to "create liquidity" to fill the orders of SM (Smart Money) and DM (Dumb Money), for the commissions they make by filling the orders. When they have some orders above the current price and some below the current price, who do you think determines the sequence of direction and distance the price is going to move so these orders can be filled? And always - since they know how they are going to move price next - they take positions themselves to make additional profits.
They do this by:
1. Manipulating price to sucker into the market DM that is taking the wrong side position.
2. Manipulating price to sucker into the market SM that is taking the right side position, but too soon, and later manipulating price to hit their stops.
They have total control of pricing, and by these actions they effectively "steal" from others the money to fill their own "right side" positions before moving the price to the next area they have decided on for filling orders, and for taking profit on their positions built beforehand. Don't get me wrong. I do not object to the market volatility these thieving Robber Banks create. We need it. But we also need to understand what these people are like, the cloth they are cut from. They are crooks, and we have to be extra careful about trading in the market they operate. On some special days you can see them in their true colors. We should witness it. Take note of it. Speak of it. And remember it!
ChikouLibrary "Chikou"
This library contains Chikou Filter function to enhances functionality of Chikou-Span from Ichimoku Cloud using a simple trend filter.
Chikou is basically close value of ticker offset to close and it is a good for indicating if close value has crossed potential Support/Resistance zone from past. Chikou is usually used with 26 period.
Chikou filter uses a lookback length calculated from provided lookback percentage and checks if trend was bullish or bearish within that lookback period.
Bullish : Trend is bullish if Chikou span is above high values of all candles within defined lookback period. Bull color shows bullish trend .
Bearish : Trend is bearish if Chikou span is below low values of all candles within defined lookback period. This is indicated by Bearish color.
Reversal / Choppiness : Reversal color indicates that Chikou are swinging around candles within defined lookback period which is an indication of consolidation or trend reversal.
chikou(src, len, perc, _high, _low, bull_col, bear_col, r_col) Chikou Filter for Ichimoku Cloud with Color and Signal Output
Parameters:
src : Price Source (better to use (OHLC4+high+low/3 instead of default close value)
len : Chikou Legth (displaced source value)
perc : Percentage lookback period for Chikou Filter with defined how much candels of total length should be considered for backward filteration
_high : Ticker High Value
_low : Ticker Low Value
bull_col : Color to be returned if source value is greater than all candels within provided lookback percentage.
bear_col : Color to be returned if source value is lower than all candels within provided lookback percentage.
r_col : Color to be returned if source value is swinging around candles within defined lookback period which is an indication of consolidation or trend reversal.
Returns: Color based on trend. 'bull_col' if trend is bullish, 'bear_col' if trend is bearish. 'r_col' if no prominent trend. Integer Signal is also returned as 1 for Bullish, -1 for Bearish and 0 for no prominent trend.
Chikou Filter for Ichimoku CloudThis Indicator enhances functionality of Chikou-Span from Ichimoku Cloud using a simple trend filter.
Methodology
Chikou is basically close value of ticker offset to close and it is a good for indicating if close value has crossed potential Support/Resistance zone from past. Chikou is usually used with 26 period.
Chikou filter uses a lookback length calculated from provided lookback percentage and checks if trend was bullish or bearish within that lookback period.
Bullish : Trend is bullish if Chikou span is above high values of all candles within defined lookback period. Green color shows bullish trend.
Bearish: Trend is bearish if Chikou span is below low values of all candles within defined lookback period. This is indicated by red color.
Reversal / Choppiness : White color indicates that Chikou are swinging around candles within defined lookback period which is an indication of consolidation or trend reversal.
Default Settings
Different source types are included but I've found that (OHLC4+High+Low)/3 is better for Chikou and Symmetrically Weighted Moving Average (SWMA) is also applied but it produce some repainting though. Default period is set to 26 and lookback percentage is 50%. Low percentage would decrease filter's efficiency.
Usage
This filter can be used to check if Chikou crossover has occurred in past. This can be used with Donchain channels, Bollinger Bands or any Moving Average as replacement of High / Low values. I'll use this indicator in all my Ichimoku Cloud studies especially adaptive ones. Filter outputs in Color and Integer format; both can be used as signals definitions.
[blackcat] L2 Hann Ehanced DMILevel: 2
Background
Among the many indicators, it can be said that DMI is the only "super turning" indicator. This indicator can alone send out risk warning signals when extreme market conditions occur in the stock market, helping us to solve some problems.
If we can operate according to the instructions of DMI, firstly, we can avoid the mistake of buying stocks at the head. Secondly, in the process of falling fear of the market, we can follow the direction signal sent by DMI and catch every time on the way down. Opportunity to rebound to unwind.
If you look at the diagram of the DMI, you will think it is very complicated, because there are four lines in its diagram, and they are intertwined, and it is difficult to distinguish the complex signals in it. But don't worry about its complex structure, we will fully dissect this indicator.
Function
These four lines are: PDI, MDI, ADX and ADXR. The scale of the table is from 0-100, which means from very weak to very strong. The PDI curve and MDI curve on some software are called +DI curve and -DI curve , all have the same meaning.
PDI: Represents the position of multiple parties in the market.
In market movements, the higher the PDI, the stronger the current market. On the contrary, it is a weak market. The A-share market is easy to go to extremes. Therefore, we can see that in the past A-share market, the PDI sometimes fell to near zero, and at this time, it often indicated that a rebound and uptrend was about to start.
MDI: Represents the position of the bears in the market.
In the market movement, the higher the MDI goes, the weaker the current market is, and vice versa, it is a strong market. Before a big bull market comes, we can see the MDI drop to a position close to zero, and at this time, the bears in the market have no power to fight back.
The relationship between PDI and MDI:
In the operation of the market, PDI and MDI are intertwined with each other. If the PDI is above the MDI, the market at this time is a strong market. The MDI is above the PDI, which is a bear market. The closer the distance between the two, the market is in a stalemate of consolidation. On the contrary, the further apart the two lines are, the more obvious the unilateral nature of the market is, whether it is a bull market or a bear market. The so-called unilateral market means that there is no midway adjustment when it rises, and there is no rebound correction when it falls.
ADX: Fast steering pullback.
The difference between ADX and other analysis indicators is that whether it is rising or falling, as long as there is a unilateral market, it runs upwards, not like other indicators, the strong market runs upwards and the weak market runs downwards.
The thread is almost entwined with PDI and MDI in general market movement, which makes no sense at this time. However, once the market breaks out of the market and starts to go to extremes, whether the market is rising or falling, ADX will start to run upwards. At this time, ADX has a clear meaning, because DMI has begun to issue early warning of impending turn!
ADXR: slow pull back.
This line is matched to ADX and is a moving average of ADX values. When ADX goes up, ADXR goes up with it, just slower.
When a round of rapid decline ends, it usually needs to be corrected by a rebound, and ADX will take the lead in turning up. Once it crosses with ADXR, it is regarded as an effective breakthrough.
Numerical division. I set an input threshold for HEDMI, and users can set the optimal threshold to buy and sell according to different TFs.
When PDI crosses the threshold, no matter how strong the bull market is, we must beware of risks from happening at any time.
In order to distinguish more clearly, I slightly modified the formula of the system, and when this happens, the indicator will issue a green warning label, so as to avoid risks in time.
Comprehensive use of four lines:
If the four lines in the steering indicator DMI are intertwined below 50, it usually means that the market is in a state of mild consolidation at this time. The DMI indicator at this time is useless because it does not generate a strong pullback force. Don't worry about an unexpected turnaround in the market. As for the consolidation, it's not a turnaround, it's a breakout.
When PDI and MDI gradually separate, at this time, ADX and ADXR will also rise. At this time, the DIM that is usually messy like twine will be clearly separated. When rising, PDI rises along with ADX and ADXR, while MDI sinks weakly. On the contrary, when the market starts to fall, MDI will rise along with ADX and ADXR, and PDI will sink helplessly. At this time, the DMI will be like a "tiger's mouth", gradually opening its bloody mouth. The bigger the opening, the more lethal the bite.
Here comes a tactic, or technical trend, called double hooves, that is, PDI and MDI split, ADX and ADXR upward to produce golden forks, PDI and MDI are like the double front hooves of a horse, ADX and ADXR The golden fork is like the rear hooves of a steed ready to take off, and this trend of the four lines is like the four legs of a steed that is about to run.
If you think it is too complicated to look at DMI like this, then I can tell you the easiest way to judge, that is, just look at the PDI line. When the PDI line falls below 10, boldly buy the dip, because it is a dip, so you need to calculate the rebound At this time, combined with the golden section theory I often talk about, you can easily find the selling point by making the golden section of the downward trend for the previous trend.
This kind of bottom-hunting method uses the golden section theory, and basically there will be no losses. Remember that one thing is not to be greedy and strictly enforce discipline. This is bottom-hunting, and advancing with both hooves is chasing up. The two styles are different, and the operation styles are different. You also need to explore more in actual combat. Any kind of trick, if you practice it proficiently, it is a unique trick.
Remark
Hanning Window Enhanced DMI
Free and Open Source Indicator
Volume fight strategyThe Volume fight strategy looks for the predominance of bullish or bearish trading volume on the chart by dividing the trading volume in the bar into 2 parts - "bullish volume" and "bearish volume", and comparing the weighted average values by volume with each other at a given distance.
This strategy is suitable for any instrument (cryptocurrency, Forex, stocks) and is able to work on any TF.
The Volume fight strategy should be used as an auxiliary indicator that tells you who is currently prevailing in the market - " bulls "or"bears".
To configure the strategy , it is necessary to set the range of evaluation of the predominance of bullish or bearish volume (the number of bars, by default-24 bars for TF=1H). The smaller the TF, the higher the range value should be used to filter out false signals.
When there is a predominance of "bulls" on the chart, a green triangle appears (relevant at the close of the bar) and the histogram is highlighted in green, when "bears" appear on the chart, a red triangle appears (relevant at the close of the bar) and the histogram is highlighted in red.
In the strategy settings, there is smoothing to reduce false signals and highlight the flat zone by specifying a percentage, at least which should be the difference between the forces of the "bullish" and "bearish" volume . If the difference between the volume forces is less than the specified one (by default-15%), the zone is considered flat and is displayed in gray on the histogram.
If you set the percentage to zero, the flat zones will not be highlighted, but there will be much more false signals, since the strategy becomes very sensitive when the smoothing percentage decreases.
There is a function-to show the color background of the current trading zone. For" bullish "- green, for" bearish " - red.
In the settings, you can enable the display and use of each signal in the trading zone, not only the initial one, but also each after the flat zone. By default, only the signal of the beginning of the ascending/descending zone is used.
The strategy has alerts for "bullish" and "bearish" movements.
👉Use alerts - "alert() function calls only"
If you have any questions, you can write to me in private messages or by using the contacts in my signature.
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Стратегия Volume fight ищет на графике преобладание бычьего или медвежьего объёма торгов путём разделения торгового объёма в баре на 2 части - "бычий объём" и "медвежий объём", и сравнения средне-взвешенных значений по объёму между собой на заданной дистанции.
Данная стратегия подходит для любого инструмента (криптовалюта, Forex, акции) и способен работать на любом ТФ.
Стратегию Volume fight следует использовать как вспомогательный индикатор, который подсказывает Вам кто сейчас преобладает на рынке - "быки" или "медведи".
Для настройки стратегии необходимо выставить диапазон оценки преобладания бычьего или медвежьего объема (количество баров, по умолчанию - 24 бара для ТФ=1Ч). Чем меньше ТФ, тем выше следует использовать значение диапазона, чтобы отфильтровать ложные сигналы.
При возникновении преобладания на графике "быков" появляется зелёный треугольник (актуален по закрытию бара) и гистограмма подсвечивается зелёным цветом, при возникновении на графике "медведей" появляется красный треугольник (актуален по закрытию бара) и гистограмма подсвечивается красным цветом.
В настройках стратегии есть сглаживание для уменьшения ложных сигналов и выделения зоны флета с помощью указания процента, не менее которого, должна быть разница между силами "бычьего" и "медвежьего" объёма. Если разница между силами объёмов меньше заданного (по умолчанию - 15%), то зона считается флетовой и отображается на гистограмме серым цветом.
Если выставить процент равным нулю, то зоны флета выделяться не будут, но будет гораздо больше ложных сигналов, так как стратегия становится очень чувствительной при снижении процента сглаживания.
Есть функция - показывать цветовой фон текущей торговой зоны. Для "бычьего" - зелёный, для "медвежьего" - красный.
В настройках можно включить отображение и использование каждого сигнал в торговой зоне, не только начального, но и каждого после зоны флета. По умолчанию - только сигнал начала восходящей/нисходящей зоны.
Стратегия имеет оповещения для "бычьего" и "медвежьего" движения.
👉 Используйте оповещения - "Только при вызове функции alert()".
По любым вопросам Вы можете написать мне в личные сообщения или по контактам в моей подписи.
Goethe B - Mutiple Leading Indicator PackageGoethe B is an Indicator Package that contains multiple leading and lagging indicators.
The background is that shows the local trend is calculated by either two Moving Averages or by a Kumo Cloud. By default the Kumo Cloud calculation is used.
What is the main oscillator?
- The main oscillator is TSV, or time segmented volume. It is one of the more interesting leading indicators.
What is the top bar?
-The top bar shows a trend confirmation based on the wolfpack ID indicator.
What are those circles on the second top bar?
-Those are Divergences of an internally calculated PVT oscillator. Red for Regular-Bearish, Green for Regular-Bullish.
What are those circles on the main oscillator?
-These are Divergences. Red for Regular-Bearish. Orange for Hidden-Bearish. Green for Regular-Bullish. Aqua for Hidden-Bullish.
What are those circles on the second lower bar?
-Those are Divergences of an internally calculated CCI indicator. Red for Regular-Bearish, Green for Regular-Bullish.
What is the lower bar?
-The lower bar shows a trend confirmation based on the Acceleration Oscillator, in best case it showes how far in the trend the current price action is.
What are those orange or aqua squares?
- These are TSI (true strength indicator) entry signals . They are calculated by the TSI entry signal, the TSI oscillator threshold.
Most settings of the indicator package can be modified to your liking and based on your chosen strategy might have to be modified. Please keep in mind that this indicator is a tool and not a strategy, do not blindly trade signals, do your own research first! Use this indicator in conjunction with other indicators to get multiple confirmations.
Harmonic Pattern Detection [LuxAlgo]Harmonic patterns make up a major part of the many patterns traders use to make investment decisions. The following tool aims to automatically categorize which XABCD harmonic pattern is highlighted by the user and to alert when the price reaches the PRZ or D point.
The tool can categorize Bat, Gartley, Butterfly, and Crab patterns.
Settings
XA Precision: The Gartley and Butterfly patterns require precise ratios for the XA segment, this setting allows giving some headroom for the detection of these patterns. For example, the Gartley pattern requires a ratio for the XA segment of 0.618, using an XA precision of 0.01 will allow the segment to be considered correct if above 0.608 and under 0.628.
Bullish: Color of a bullish pattern
Bearish: Color of a bearish pattern
The X, A, B, C, D settings determine the location of the harmonic pattern vertices. The user does not need to change them from the settings, instead only requiring adjusting their location on the chart like with a regular drawing tool. Setting these vertices is required when adding the indicator to your chart.
Usage
Upon setting the harmonic pattern vertices, the segments, as well as each ratio and PRZ, will be displayed. A dashboard in the top right displays which harmonic pattern has been detected.
Detected bearish crab pattern on BTCUSD15.
Bullish butterfly pattern on MATICUSD15. It is important not to use an XA precision value that would return overlapping ranges between the Gartley/Harmonic and other patterns. Using the default value is recommended.
The upper limit of the PRZ is determined as vertex D plus 38.2% of segment DX, while the lower limit is the vertex D minus 38.2% of segment DX. Various methods exist for the determination of the PRZ, this one is general but the user can use one proper to the detected harmonic pattern.
Finally hovering on the label highlighting the segment ratios return the proper ratio used by each harmonic pattern for that precise segment.
Candlestick Trading (Malaysia Stock Market)1. This indicator will indicate signals of bearish/bullish candlestick as below:
- 10 Bear Candles: Dark Cloud Cover, Bearish Kickers, Bearish Engulfing, Evening Star, Three Black Crows, Hanging Man, Shooting Star, Tweezer Top, Bearish Harami, Doji
- 10 Bull Candles: Piercing, Bullish Kickers, Bullish Engulfing, Morning Star, Three White Soldiers, Hammer, Inverted Hammer, Tweezer Bottom, Bearish Harami, Doji
2. In order for the Bear Candle signals to appear, these conditions should be met:
- Price must be above MA 1 (preset at SMA 20)
- Price must be above MA 2 (preset at SMA 50)
- Price must be above MA 3 (preset at SMA 200)
- In the range of specified trading days (preset at latest 10 days of trading)
3. For a strong bearish signal, a namely 'Potential Top' signal will appear on the top of the bearish candlestick signal. This 'Potential Top' signal will only appear under the condition of:
- Stochastic is at overbought area (preset at 75%)
4. In order for the Bull Candle signals to appear, these conditions should be met:
- Price must be in between MA 4 (preset at EMA 30) and MA 5 (preset at EMA 100)
- In the range of specified trading days (preset at latest 10 days of trading)
5. For a strong bullish signal, a namely 'Potential Bottom' signal will appear at the bottom of the bullish candlestick signal. This 'Potential Bottom' signal will only appear under the condition of:
- Stochastic is at oversold area (preset at 25%)
6. This indicator can help one to enter/exit a trade based on the bullish/bearish candlestick patterns that appear at the beginning/end of a trend, especially when the 'Potential Bottom/Top' appears with any of bullish/bearish candlestick signal.
7. However, this indicator is only designed for Malaysian Stocks Market as the script is based on the bids/pips calculation of the Malaysian Stocks Market. Nevertheless, I let the script open for everyone to modify it based on your own preference markets/instruments.
8. Hope you guys enjoy it. Thanks.
Market Breadth EMAsThis is the combined market breadth tickers: S5TW, S5FI, S5OH, and S5TH representing the percentage of S&P 500 stocks above their 20, 50, 100, and 200 EMA respectively. The colors go from green (20) to red (200) because if 20 crosses above the 200, the market's bullish, and if the 20 crosses below the 200, the market is bearish. So if green is on top = bull market. If red is on top = bear market. In general the market sentiment is whichever color is highest up.
The background is colored in depending on a few historical extremes in the 200. The darker the color the more significant the buy/sell signal. These can be adjusted by changing the hline's in the code.
