SBARThis is momentum based indicator
Input
1. Two EMA
2. Stochastic
Thought process
1. Difference between fast and slow ema has a oscillating nature.
2. Stochastic %k %d crossover gives early signals
3. early entry gives low risk high reward setup
Calculation
1. A= EMA(fast) - EMA(slow)
2. B =Stochastic(%K)-Stochastic(%D)
When A is increasing and B is positive, bar is green
When A is decreasing and B is negative, bar is red
Else, bar is black
Use
This is an early entry signal system. When used with Channel trading system, it gives high probability, low risk high reward setups
Example
When price has breached below -2 Keltner channel, and impulse candle turns green, go long (or sell put options )
Buscar en scripts para "KELTNER"
Trend-Range IdentifierTrend trading algorithms fail in ranging market and Swing trading algorithm fail in trending market. Purpose of this indicator is to identify if the instrument is trending or ranging so that you can apply appropriate trading algorithm for the market.
Process:
ATR is calculated based on the input parameter atrLength
Range/Channel containing upLine and downLine is calculated by adding/subtracting atrMultiplier * atr to close price.
This range/channel will remain same until the price breaks either upLine or downLine.
Once price crosses one among upLine and downLine, then new upLine/downLine is calculated based on latest close price.
If price breaks upLine, the trend is considered to be up until the next line break or no lines are broken for rangeLength bars. During this state, candles are colored in lime and upLine/downLine are colored in green.
If price breaks downLine, the trend is considered to be down until the next line break or no lines are broken for rangeLength bars. During this state, candles are colored in orange and upLine/downLine are colored in red.
If close price does not break either upLine or downLine for rangeLength bars, then the instrument is considered to be in range. During this state, candles are colored in silver and upLine/downLine are colored in purple.
In ranging duration, we display one among Keltner Channel, Bollinger Band or Donchian Band as per input parameter : rangeChannel . Other parameters used for calculation are rangeLength and stdDev
I have not fully optimized parameters. Suggestions and feedback welcome.
GMS: VWAP with Percent BandsThis is a pretty straight-forward script. I just wanted to see percent bands around the VWAP after looking at the standard deviation bands for a while and even dabbling with keltner channels. This is the cleanest in my opinion. The script is open so feel free to poke around!
The default settings are below, just to confuse 0.25 with 25%.
0.25 = 0.25%
0.5 = 0.50%
0.75 = 0.75%
PS - it's not multi-timeframe yet. That'll come in the next update.
Hope this helps,
Andre
Mean Deviation Detector - Throw Out All Other IndicatorsI set out this morning to create a script that searches out price moves that went too far too fast relative to historical pricing, given that such situations often result in the most profitable trading opportunities. I came up with the mean deviation detector. This script should be used as a means of judging how far a price is trading, in percent terms, from it's "average trading zone".
This is extremely helpful in a couple scenarios.
First, it can be used to judge a move's volatility relative to it's previous volatility. Put simply, a 5% move in the stock of Coca Cola is a lot more meaningful than a 5% move in the stock of Tesla, and the detector puts moves into historical (visual) perspective.
Second, the indicator can be used in real time as a means of determining when the chances of mean reversion are high or low. Extreme values are unsustainable and often lead to EITHER A.) price mean reversion or B.) time mean reversion. Put simply, prices either went too far and are due to fall back to a historical mean, or they need more time to digest a potentially new pricing zone.
Without getting too deep into volume profile analysis, the MDD can be a simple way of telling that a stock has moved into an "air pocket", where prices will either come back to the previous volume node (price mean reversion) or set up shop in a new, uncharted area (time mean reversion).
An extreme value doesn't always mean a trading opportunity, but it means that something interesting is happening in the stock / instrument.
I use this indicator to help me trade covered calls. Lots of high yielding weekly opportunities are stocks that have moved too far too fast, and I like to use this indicator as a means of either a.) scooping up stocks that have gotten beat up from a historical mean perspective & have likely seen the risk already "beaten" out of them, or to b.) stay away from stocks that have a very high chance of price correcting lower. In situations where I say that the risk has been "beaten" out of something, it doesn't mean that the stock won't continue to fall, it simply means that the degree and acceleration of the fall has peaked and that risk premiums in selling options will / should easily pay for continued losses. In the event that it's a price correction and not a time correction, you also increase your bat rate because you get auto-liquidated at a max profit. It's a really valuable tool in my kit.
You can also feel free to put a Keltner Chanel overlay onto the MDD to filter out noise, identify "extreme" values, and place mean reversion trades if you expect price mean reversion is likely, if you want to use this as the basis of a proper trading strategy. For a high extreme value, you could sell short term OTM call spreads, for example.
The MDD is adaptable to your own trading style & preferences.
Squeeze IndicatorThe Squeeze indicator is an interesting theory that says if Bollinger Bands engulf the Keltner Channel, that the market is trending, and if not, that the market is in consolidation.
How to interpret:
When the indicator is positive, the market is trending.
When the indicator is negative, the market is in consolidation.
Recommended setting: 20
Enjoy ;)
OGC - Don't diddle in the middlea keltner channel that marks all bars inside the channel as white. above the upper = green and below the lower = red. A useful training tool to avoid playing around in the middle.
Squeeze Momentum Indicator [LazyBear] vHMAThis is a remake of the famous LazyBear Indicator, the Squeeze Momentum Indicator.
All i did was take out the SMA's and replace them with HMA's. HMA is a more responsive moving average.
Hull Moving Average.
This is a derivative of John Carter's "TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11).
Black crosses on the midline show that the market just entered a squeeze ( Bollinger Bands are with in Keltner Channel). This signifies low volatility , market preparing itself for an explosive move (up or down). Gray crosses signify "Squeeze release".
Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change). My (limited) experience with this shows, an additional indicator like ADX / WaveTrend, is needed to not miss good entry points. Also, Mr.Carter uses simple momentum indicator , while I have used a different method (linreg based) to plot the histogram.
More info:
- Book: Mastering The Trade by John F Carter
Here is the original version:
GRAB or TrendStrength Bars with Highlights[Salty]GRAB or TrendStrength Bars with Propulsion Dots and Highlights for Squeeze Pro, CCI-Arrows, and SlowStoch
This indicator shows GRAB or TrendStrength candles and allows several moving averages to be displayed at the same time.
It has arrows and diamonds above or below the candles to show CCI values above 100 or below -100 with the arrow pointing in the direction of the momentum.
Diamonds indicate slightly weaker momentum than arrows, but still consider strong.
It has background coloring that is light green to show bullish trends and light red to show bearish trends that are derived from slow stochastics.
In general Darker colors are used for down moves and lighter colors are use to show up moves. Also, red indicates bearish, and green indicates bullish throughout.
It has yellow background to show squeezes with additional Squeeze Pro information shown at the bottom of the chart in the form of letters and momentum arrows.
L = Low compression squeeze, S = Normal Squeeze, and H = High Compression Squeeze.
It has a set of propulsion dots for each Moving Average. The trend is consider bullish when green colored dots print, and bearish when red dots print.
3 ATR Keltner channels are printed. The first two show the values used by the squeeze by default
2 Bolinger Bands are displayed based on the values used by the Squeeze by default.
1 VWAP line may be displayed.
TIP: overlaying the TICK symbol is great for confirming a bias where positive values are bullish and negative values are bearish.
BO - KBSignalBO - KBSignal show Put or Call Signal inoder to trade Binary Option.
A. Indicators
1. Keltner Channel %K (indicator was published in my scripts)
2. OBV's %B (indicator was published in my scripts)
B. Rule of Signal
1. Rule 1: No Signal
- %K is the highest of 3 periods => Possible a Pivot High
- %K is the lowest of 3 periods => Possible a Pivot Low
- Previous %K is greater than or equal 0.8 => Touch Resistance Zone
- Previous %K is less than or equal 0.2 => Touch Support zone
2. Rule 2: Sell and Buy Zone depend on 2 Indicators mentioned in A
- Sell zone = %K<0.45 and Obv's %B <0.45
- Buy zone = %K>0.55 and Obv's %B >0.55
3. Rule 3: Put and Call Signal
- Put Signal = Sell zone and not No Signal
- Call Signal = Buy zone and not No Signal
C. Alert
1. Signal alert = Put Signal or Call Signal alert
2. Put alert = Put Signal alert
3. call alert = Call Signal alert
Trading Public School ST1This is a derivative of Trading Public School "TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11).
Black crosses on the midline show that the market just entered a squeeze ( Bollinger Bands are with in Keltner Channel). This signifies low volatility , market preparing itself for an explosive move (up or down). Gray crosses signify "Squeeze release".
Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change). My (limited) experience with this shows, an additional indicator like ADX / WaveTrend, is needed to not miss good entry points. Also, Mr.Carter uses simple momentum indicator , while I have used a different method (linreg based) to plot the histogram. 100% Profit & loss 10% Only
SSL HybridThis script is designed for the NNFX Method, so it is recommended for Daily charts only.
Tried to implement a few VP NNFX Rules
This script has a SSL / Baseline (you can choose between the SSL or MA), a secondary SSL for continiuation trades and a third SSL for exit trades.
Alerts added for Baseline entries, SSL2 continuations, Exits.
Baseline has a Keltner Channel setting for "in zone" Gray Candles
Added "Candle Size > 1 ATR" Diamonds from my old script with the criteria of being within Baseline ATR range.
Credits go to:
Strategy causecelebre www.tradingview.com
SSL Channel ErwinBeckers www.tradingview.com
Moving Averages jiehonglim www.tradingview.com
Moving Averages everget www.tradingview.com
"Many Moving Averages" script Fractured www.tradingview.com
Hancock - WAEThis is a version of the LazyBear Waddah Attar Explosion indicator that incorporates the LazyBear Squeeze Momentum Indicator. Full credit goes to LazyBear for this and i've added links to his indicators used for a further explanation.
This histogram is a plot of the difference between the current and previous MACD multiplier by the sensitivity value. Green indicates an up trend and red indicates a down trend.
The white line is the lower BB subtracted from the upper BB and signals should be taken when the histogram is greater than this line.
The blue line is taken from the Squeeze Indicator and is the Keltner Channel. If the white line is less than the blue line it can be considered a squeeze and the background color of the indicator is coloured to indicate when not in a squeeze.
Happy trading folks!
Hancock
G-Channels - Efficient Calculation Of Upper/Lower ExtremitiesIntroduction
Channels indicators are widely used in technical analysis, they provide lot of information. In general, technical indicators giving upper/lower extremities are calculated by adding/subtracting a volatility component to a central tendency estimator. This is the case with Bollinger bands, using the rolling standard deviation as volatility estimator and the simple moving average as central tendency estimator, or the Keltner channels using the exponential moving average and the average true range.
Lots and lots and lots (i can go on) of those indicators have been made, they only really need a central tendency estimator, which can be obtained from pretty much any filter, however i find interesting to focus on the efficiency of those indicators, therefore i propose a super efficient channel indicator using recursion. The average resulting from the upper/lower extremity of the indicator provide a new efficient filter similar to the average highest/lowest.
The calculation - How Does It Works
Efficiency is often associated to recursion, this would allow us to use past output values as input, so how does the indicator is calculated? Lets look at the upper band calculation :
a := max(src,nz(a(1))) - nz(a(1) - b(1))/length
src is the closing price, a is upper extremity, b is the lower one. Here we only need 3 values, the previous values of a and b and the closing price. Basically a := max(src,nz(a(1))) mean :
if the closing price is greater than the precedent value of a then output the closing price, else output the precedent value of a
therefore a will never be inferior to its precedent value, this is useful for getting the maximum price value in our dataset however its not useful to make an upper band, therefore we subtract this to a correction factor defined as the difference between a and b , this force the upper band to have lower values thus acting like a band without loosing its "upper" property, a similar process is done with the lower band.
Of course we could only use 2 values for making the indicator, thus ending with :
a := max(src,nz(a(1))) - nz(abs(close - a(1))/length
In fact this implementation is the same as the one proposed in my paper "Recursive Bands - A New Indicator For Technical Analysis", its also what i used for making the indicator "Adaptive Trailing Stop", this would be more efficient but i used the difference between the upper and lower extremities for a reason.
The Central tendency Estimator
This is the reason why i didn't implemented a more efficient version. Basically this central tendency estimator is just the average between the upper and lower extremities, it behave like the average of the highest/lowest over length period, its central plot in the Donchian channel indicator. Below is a comparison of both with length = 100 :
But why is our average so "boxy"? The extremities are not boxy, so why the average is sometimes equal to its previous value? Explain!
Its super easy to understand, imagine two lines, if their absolute change is the same and they follow an opposite direction, then their average is constant.
the average of the green and red line is the orange line. If both lines follow the same direction then their average will also follow this direction.
When both extremities follow the same direction, the average will also do the same, when both follow an opposite direction then the average will be equal to its precedent value, this is also due to the fact that both extremities are based on the same correction factor (a-b) , else the average wouldn't act that way, now you understand why i made this choice.
Conclusion
I proposed an efficient implementation of a channel indicator that provide an interesting central tendency estimator. This simple implementation would allow for tons of interesting concepts, some of my indicators use a similar approach and allow for great outputs, you'll see them soon enough. I hope this indicator find its use in the community, remember to ask before using this indicator in a script you want to publish.
Thanks for reading !
If you want to discuss about anime stuff send me a pm but don't do it in the commend section.
Squeeze X BF 🚀Credit to LazyBear and Kiasaki for code used in this indicator.
Squeeze Momentum indicator illustrates when a momentum squeeze is happening by calculating when Bollinger Bands are within a Keltner Channel.
This simple strategy is based on when the momentum is crossing positive or negative.
INSTRUCTIONS
Green = Long
Red = Short
White = No Trade
Multi XXL Indikator v2Ma s (50,100,200)
Keltner
Bollinger 2 und 3
Future Pivot
Multi Timeframe MA
Ema s 55=>20
Multi XXL IdicatorMulti XXL Indicator
Ma s (50,100,200)
Keltner
Bollinger 2 und 3
Future Pivot
Multi Timeframe MA
Ema s 55=>20
Multi XXL IdicatorMulti XXL Indicator
Ma s (50,100,200)
Keltner
Bollinger 2 und 3
Future Pivot
Multi Timeframe MA
Moving Average with Multiplier [aamonkey]Moving Average with the possibility to modify the length and the multiplicator.
That way it is possible to move the MAs up or down creating your own Bollinger Bands / Keltner channel type of indicator.
price comparisonI wanted to compare multiple prices, so I created it.
The price of 6 can be compared at once.
Since simply different ones cannot be compared, the Keltner channel is made into an oscillator and compared.
I added an alert that broke the Bollinger Band.
複数の価格比較をしたかったので、作成しました。
6個の価格が一気に比較できます。
単純に異なるものは比較できないので、ケルトナーチャンネルをオシレータ化して比較しています。
ついでにボリンジャーバンドをブレイクしたアラートを付けておきました。
APEX - Moving Averages [v1]A moving average is the most known indicator that takes into consideration price from the last several periods of the price and calculates a smoothed line also known as a Moving average. This way you will cut out a lot of the noise and have a different view.
The most common usage is the moving average crossover system when you buy and sell when a crossover happens. This system is in general not very profitable but can be used effectively in trending markets.
There is really no general rule to what length should be used. The most well-known and respected lengths are 20 / 50 / 100 / 200 for almost all average. These values are respected as strong resistance and support levels. but if you plan to use a crossover Systems the most profitable settings tend to be when the averages are close together 14 and 28 etc. But this is an area I would appeal to for you to really try out what works and what does not.
Other uses of moving averages are the following:
Crossover system
Moving averages are pointing up and price crosses below (Buy Pullback)
The slow-moving average is Below the fast moving average to help to identify possible bullishness
Can be used as support and resistance lines
If you are an advanced user you may want to try out the following techniques:
Create your own moving average by combining several of those together with the source function
Using the Average True Range to create Keltner Channels
Using Standard deviation to create Bollinger bands (Bollinger bands are also accessible on their own)
You can use Moving averages to smooth the noise on other indicators such as RSI / CCI / MFI
