Adaptive Price ZoneThe Adaptive Price Zone was developed by Lee Leibfarth in 2006, and it attempts to create a band for mean-reversal strategies. It works by taking the double-smoothed average of the volatility from 5 days and adding/subtracting it from the average price of the day (hl2).
If you are planning to use it, remember that it changes throughout the day , so you might want to use an offset. You can also choose to use the true range for the volatility instead of the high and low difference.
Bands and Channels
Moving Average pooria563sma moving average 20 , 50 , 100, 200 that you choose one of them that you want.
SST Table NewData Table for Update GTT Orders in Stocks....
Updated GTT Order details for SST , also added Relative Strength of Stock compared with NIFTY Index for 55 Days (3 Months) period.
RS line plotted on chart… taken reference of close price of day candle… just a bigger picture of actual RS indicator plotted on chart itself... RS line in red color means below zero line (negative) and green color means above zero line (positive).
Added code for checking RS value on chart for any previous day.
ALMA stdev band with fibsArnaud Legoux Moving Average with standard deviation band and standard deviation Fibonacci levels.
Standard deviation band is alma + stdev and alma - stdev.
Fibonacci levels are alma + stdev * fib ratio and alma - stdev * fib ratio (0.382 / 0.5 / 0.618 / 1.618 / 2.618).
Used like a moving average, but also shows probable price range based on past volatility, and helps to recognize support/resistance levels, trends and trend momentum based on the Fibonacci levels.
ATR ChartATR Levels
Calculated by adding ATR to daily low and subtracting ATR from daily high.
Inputs can change ATR timeframe and range, defaults to 6 hr and daily.
LutrewMTF// ————— Plots
var cMarkerUp = color.new(color.lime, 0)
var cMarkerDn = color.new(color.red, 0)
plotshape(A1U, "Marker 1 Up", shape.triangleup, location.belowbar, cMarkerUp, size = size.tiny, text = "1")
plotshape(A2D, "Marker 2 Dn", shape.triangledown, location.abovebar, cMarkerDn, size = size.tiny, text = "2")
plotshape(A3U, "Marker 3 Up", shape.triangleup, location.belowbar, cMarkerUp, size = size.tiny, text = " 3")
plotshape(A4D, "Marker 4 Dn", shape.triangledown, location.abovebar, cMarkerDn, size = size.tiny, text = "4 ")
plotshape(A5U, "Marker 5 Up", shape.triangleup, location.belowbar, cMarkerUp, size = size.tiny, text = " 5")
plotshape(A6D, "Marker 6 Dn", shape.triangledown, location.abovebar, cMarkerDn, size = size.tiny, text = "6 ")
plotshape(A7U, "Marker 7 Up", shape.triangleup, location.belowbar, cMarkerUp, size = size.tiny, text = " 7")
plotshape(A8D, "Marker 8 Dn", shape.triangledown, location.abovebar, cMarkerDn, size = size.tiny, text = "8 ")
// ————— Alert
alertcondition( A1U or A2D or A3U or A4D or A5U or A6D or A7U or A8D, "Pivots MTF: Configured Markers", "Pivots MTF Alert")
// }
[blackcat] L3 Xerxes ChannelsLevel 3
Background
The stock price channel theory is a widely used and mature theory in western securities analysis. In the 1970s, American Xerxes first established this theory.
Function
In fact, it is contained by the short-term small channel and runs up and down in the long-term large channel. The basic trading strategy is that when the short-term small channel approaches the long-term large channel, it indicates a recent reversal of the trend. The trend reverses downwards as the upper edge approaches, capturing short-term selling points. The trend reverses upward as the lower edge approaches, capturing short-term buying points. Studying this method can successfully escape from the top and catch the bottom in every wave of the market and seek the maximum profit.
The long-term major channel reflects the long-term trend state of the stock, the trend has a certain inertia, and the extension time is long, reflecting the large cycle of the stock, which can grasp the overall trend of the stock, and is suitable for medium and long-term investment;
The short-term small channel reflects the short-term trend status of the stock, accommodates the ups and downs of the stock, effectively filters out the frequent vibrations in the stock trend, but retains the up and down fluctuations of the stock price in the large channel, reflecting the small cycle of the stock, suitable for medium short-term speculation;
The long-term large channel is upward, that is, the general trend is upward. At this time, when the short-term small channel touches or is close to the bottom of the long-term large channel, it indicates that the stock price is oversold and there is a possibility of a rebound. The short-term small channel has touched the top of the long-term large channel, indicating that the stock price has been overbought, and there will be a correction or consolidation in the form, and there is a trend of approaching the long-term large channel. It is more effective if the K-line trend and the short-term small channel trend also match well;
The long-term big channel goes up, and the short-term small channel touches the top of the long-term big channel. At this time, the stock is in the stage of strong elongation. It can be appropriate to wait and see. When it turns flat in the short-term or turns its head down, it is a good delivery point, but it will penetrate If the area is a risk area, you should pay close attention to the reversal signal and ship at any time;
The long-term large channel is downward, that is, the general trend is downward. At this time, the short-term small channel or the stock price peaks and the selling pressure increases, and there is a downward trend again. The bottoming pattern means that the buying pressure is increasing, and there is a requirement for slow decline adjustment or stop decline, and the price movement will tend to be close to the upper edge of the long-term large channel. Callbacks should be treated with caution, and buy only after confirming the reversal signal;
The long-term large channel is down, while the short-term small channel penetrates the bottom line of the long-term large channel downward. At this time, it is mostly a slump process, and there is a rebound requirement, but the decline process will continue. It is not appropriate to open a position immediately. There is an upward trend, and when the short-term small channel turns back up and crosses back, it is a better opportunity to open a position at a low level;
When the long-term large channel is flat horizontally for a long time, it is to consolidate the market, and the price fluctuates up and down along the channel. At this time, it is the stage of adjustment, opening and washing, indicating the emergence of the next round of market. Short-term speculators can sell on highs and buy on lows. If the short-term small channel strongly crosses the long-term large channel, and the long-term large channel turns upward, it indicates that a strong upward trend has begun. If the short-term small channel penetrates down the long-term large channel, and the long-term large channel turns downward, it indicates that the decline will continue.
In a large balanced market, buy when the stock price hits the lower rail of the large channel at the bottom of the swing, and sell when the stock price hits the upper rail of the large channel at the peak of the swing.
Remarks
Feedbacks are appreciated.
Joker Linear Regression ChannelLinear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable. This indicator plot channel bands of Linear Regression.
Compare std levelIt is used to compare symbol with different magnitudes and volatilities. It is compared by the level within its range of standard deviations.
Visually, we are comparing where the price is in its Bollinger Band , for each symbol.
100 means that the price is near the upper band. 0 means that the price is near the lower band
Standard deviation channel of linear regression distance [AbAh]The indicator calculates the distance between linear regression line and the data point (price) as a percentage , then calculates the standard deviation for the linear regression distance , then draw the channel of two lines depending on the values of standard deviation .
///////// How to use ////////////////
1 - for Best result , indicator should be used on 2H frame Time of less : like 1H or 30 min
2 - The upper line and the lower line, both play a role as a support and resistance area, when the price bounces from the upper zone or lower zone, there is a high probability that it will move to the other line.
3 - The price breakout of one of the lower or upper lines may indicate a major price movement coming in the direction of the breakout
/////////////////////////////////////
VWAP Band TrendThis indicator combines two features: VWAP bands for range trading and trends for trend-following.
The white bands offer support/resistance levels ideal for range trading: short when rejecting off the upper band, long when rejecting off the lower. Take profit either when hitting the (faint gray) midline and/or when hitting the band on the far side.
The trend analysis shows green or red ranges above or below the bands to indicate trend strength - larger swaths of green or red indicates strong trend while shorter swathes indicate weak. If the upper trend color doesn't match the lower trend color, the trend is undecided or transitioning.
Optionally, trend initiation indicators can be turned on to show above/below candles where a trend switch is taking place.
Moving Average AreaAs a trader, it is much more convenient to draw support and resistance in a form of an area instead of just a straight line. Same thing with moving averages which are often used as dynamic support and resistance. This indicator plot a moving average on the chart in a form of an area. You can customize the size of the band in the options menu.
EMA 50 HIGH LOW BANDHi
This indicator displays a band of EMA 50 having high and low of the same ema.
This script works well on 5 min chart or lower time frames in intraday.
When any price is above this band, you may consider a buy position and whenever any price is below this band, you may consider a sell position.
You may also take help of EMA 200, which is shown in red color. Whenever price is above EMA200, it is considered bullish and when ever it is below EMA 200, it is considered bearish.
This will remove a lot of noise from your chart.
I hope it helps.
Thanks
[Sextan] MACD with Stoch RSI and Baseline with risk controlLevel 1
Background
An example to take 3 mintes to backtest "Full System MACD with Stoch RSI and Baseline with risk control" with sextan backtest framework
Function
Courtesy of @SoftKill21
Full System MACD with Stoch RSI and Baseline with risk control
This system can be used on all timeframes. It works on scalping, daytrading and swing trading.Its made from a Baseline slow and fast , together with MACD , Stochastic RSI .
Remarks
Courtesy of @SoftKill21
Feedbacks are appreciated.
STD Adaptive ADXm w/ Floating Levels [Loxx]STD Adaptive ADXm w/ Floating Levels is a standard deviation adaptive ADX indicator with adaptive floating boundary levels
What is the ADX?
Trading in the direction of a strong trend reduces risk and increases profit potential. The average directional index (ADX) is used to determine when the price is trending strongly. In many cases, it is the ultimate trend indicator. After all, the trend may be your friend, but it sure helps to know who your friends are. In this article, we'll examine the value of ADX as a trend strength indicator.
What is the ADXm?
Unlike the traditional ADX indicator, where the ADX itself is plotted in absolute units and detection of the trend direction is hindered, this indicator clearly displays the positive and negative ADX half-waves (displayed as colored on the chart).
Included:
-Toggle on/off bar coloring
-Toggle on/off fill coloring
[blackcat] L1 Vitali Apirine Exponential Deviation BandsLevel 1
Background
Vitali Apirine’s articles in the July issues on 2019,“Exponential Deviation Bands”
Function
In “Exponential Deviation Bands” in this issue, author Vitali Apirine introduces a price band indicator based on exponential deviation rather than the more traditional standard deviation, such as is used in the well-known Bollinger Bands. As compared to standard deviation bands, the author’s exponential deviation bands apply more weight to recent data and generate fewer breakouts. Apirine describes using the bands as a tool to assist in identifying trends.
Remarks
Feedbacks are appreciated.
MACDPROThis MACDPRO indicator is based on MACD, RSI, ADX, BB and it has LONG/SHORT alerts for signals
In script settings you can specify:
1) Dispertion value, 3 by default.
2) Noise filter smooth factor, 16 by default.
3) Enable/Disable RSIPROv5 TrendIndicator algorythm
4) Setting RSI Overbought and Oversold values
5) Enable/Disable stop loss and take profit filter for indicator
6) Enable/Disable BB
Best fits for 30-60 min timeframe. Also good for 15min scalping strategy. Fits for any crypto coins, forex, metals, oil and bonds.
This is very powerfull script and will be private soon
Jurik CFB Adaptive, Elder Force Index w/ ATR Channels [Loxx]Jurik CFB Adaptive, Elder Force Index w/ ATR Channels is a variation of Elder Force Index that better adapts to trends by calculating dynamic lengths for the traditional Elder Force Index calculation. ATR channels are added to show levels of price extremes or exhaustion of price either up or down. Elder Force Index is typically used for spotting reversals on the weekly timeframe.
What is the Elder Force Index?
Dr. Alexander Elder is one of the contributors to a newer generation of technical indicators. His force index is an oscillator that measures the force, or power, of bulls behind particular market rallies and of bears behind every decline.1
The three key components of the force index are the direction of price change, the extent of the price change, and the trading volume. When the force index is used in conjunction with a moving average, the resulting figure can accurately measure significant changes in the power of bulls and bears.1 In this way, Elder has taken an extremely useful solitary indicator, the moving average, and combined it with his force index for even greater predictive success.
What is Composite Fractal Behavior ( CFB )?
All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets.
Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration.
Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action.
The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit!
This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic.
CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate
Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis.
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.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
CFB Adaptive, Jurik-Filtered Gann HiLo Activator [Loxx]CFB Adaptive, Jurik-Filtered Gann HiLo Activator is a Composite-Fractal-Behavior-adaptive Gann HiLo activator that has been smoothed using Jurik Filtering to reduce noise and better identify trending markets. This indicator is the CFB adaptive version of Jurik-Filtered, Gann HiLo Activator .
What is Gann HiLo
The HiLo Activator study is a trend-following indicator introduced by Robert Krausz as part of the Gann Swing trading strategy. In addition to indicating the current trend direction, this can be used as both entry signal and trailing stop.
Here is how the HiLo Activator is calculated:
1. The system calculates the moving averages of the high and low prices over the last several candles. By default, the average is calculated using the last three candles.
2. If the close price falls below the average low or rises above the average high, the system plots the opposite moving average. For example, if the price crosses above the average high, the system will plot the average low. If the price crosses below the average low afterward, the system will stop plotting the average low and will start plotting the average high, and so forth .
The plot of the HiLo Activator thus consists of sections on the top and bottom of the price plot. The sections on the bottom signify bullish trending conditions. Vice versa, those on the top signify the bearish conditions.
What is Composite Fractal Behavior (CFB)?
All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets.
Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration.
Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action.
The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit!
This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic.
CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate
Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis.
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.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Included
-Toggle bar color on/off
Bollinger Bands Breakout Oscillator [LuxAlgo]The Bollinger Bands Breakout Oscillator is an oscillator returning two series quantifying the significance of breakouts between the price and the extremities of the Bollinger Bands indicator.
Settings
Length: Period of the Bollinger Bands indicator
Mult: Controls the width of the Bollinger Bands
Src: Input source of the indicator
Usage
Each series is calculated by summing the distance between price and a respective Bollinger Bands extremity in the case price is outside this extremity and divided by the sum of the absolute distance between price and a respective extremity. This sum is done over the most recent Length bars.
Bullish breakouts are represented by the green areas of the indicator, while bearish breakouts are represented by the red areas of the indicator.
The oscillator can determine the presence of an uptrend when the bullish area is superior to the bearish area, while a downtrend is indicated by a bearish area being superior to the bullish one. The significance of the breakout is determined by the amplitude of each area, with higher amplitudes indicating more significant breakouts or strong trends.
Using higher Mult values would naturally return wider bands, which would induce less frequent breakouts, this would be highlighted by the oscillator.
In the chart above we can see the oscillator using a multiplicative factor of 2.
MTF High LowThis is a Multi-Time Frame High Low Indicator that plots the highest and lowest price levels of the chart timeframe and a user selected higher timeframe.
The length can be optimized by the user from settings (default value is 6 candles) and table position can also be adjusted.
The calculation does not takes into account the last candle price data to form a view using the current close price as described below:
If Close > mid value of High + Low, view is Bullish
If Close < mid value of High + Low, view is Bearish
The above is also calculated for the higher timeframe and view for both timeframe is updated in the chart.
The color coding is dynamic based upon the current close price levels and comparisons with High, Low and Mid values.
The mid values level plot is hidden by default and can be enabled and saved as default if the user likes so.
Time Anchored Intraday High/Low TrendlineOftentimes, intraday trendlines that are started at specific times, e.g. 8:00am or market open 9:30am, are well respected throughout the trading day.
This indicator draws up tp 3 intraday trendlines that are anchored at user defined times, respectively at the corresponding candle's high and low points.
From there, the line*s xy2 are connected in a way that all following candles are enclosed.
Sherry on cryptoIf the price is above the 200 EMA, you are allowed to open only long positions and avoid shorts.
If the price is below the 200 EMA, you are allowed to open only short position and avoid longs. Don't use this indicator alone, use RSI, Stochastic RSI etc. Do not use this indicator like a bot, do TA and FA as well. This is just an indicator, do not always rely on it. It requires experience. This indicator has different winrate in different timeframes. Set its value accordingly.