AIR Supertrend (Average Interpercentile Range)Supertrend (ST) is a popular stop loss and trend identification script. The simplicity of seeing a clean trend on a chart makes it attractive, yet it is restricted by only allowing the source, length and multiplier to be adjusted, & these tend to have a limited effect on the properties of the identified trend.
There is a wide variety of interesting ST scripts on TradingView that give the user more control, but none to my knowledge, based on measuring the statistical dispersion of Average Interpercentile Range (AIR).
Two more levels of control:
Normally, ATR Average True Range is used to calculate the range in ST. ATR is initially calculated using RMA to smooth out True Range. This script gives the user the option of changing the MA to some more interesting varieties & modifying their parameters.
The default range setting when you load the indicator on a chart will be AIR.
The real strength of the indicator, however, and the reason I am publishing it, is to release AIR. Play round with the percentile range setting. Lowering it will allow you to stay longer in a trade in a volatile market. Raising it will make it tighter.
For comparison, you can switch back the range setting to ATR and load up RMA to see how the original, classic ST plots.
Alerts are included in this version. Alway use a stop loss.
DISCLAIMER: None of this is financial advice.
Credits to these authors, whose hard work inspired parts of this script:
@ KivancOzbilgic - SuperTrend
@ KioseffTrading - Tillson T3 MA
@ cheatcountry - Hann Window Smoothing
@ mutantdog - Interquartile Range function in his 'Blaze' script
Jurikma
T3 JMA KAMA VWMAEnhancing Trading Performance with T3 JMA KAMA VWMA Indicator
Introduction
In the dynamic world of trading, staying ahead of market trends and capitalizing on volume-driven opportunities can greatly influence trading performance. To address this, we have developed the T3 JMA KAMA VWMA Indicator, an innovative tool that modifies the traditional Volume Weighted Moving Average (VWMA) formula to increase responsiveness and exploit high-volume market conditions for optimal position entry. This article delves into the idea behind this modification and how it can benefit traders seeking to gain an edge in the market.
The Idea Behind the Modification
The core concept behind modifying the VWMA formula is to leverage more responsive moving averages (MAs) that align with high-volume market activity. Traditional VWMA utilizes the Simple Moving Average (SMA) as the basis for calculating the weighted average. While the SMA is effective in providing a smoothed perspective of price movements, it may lack the desired responsiveness to capitalize on short-term volume-driven opportunities.
To address this limitation, our T3 JMA KAMA VWMA Indicator incorporates three advanced moving averages: T3, JMA, and KAMA. These MAs offer enhanced responsiveness, allowing traders to react swiftly to changing market conditions influenced by volume.
T3 (T3 New and T3 Normal):
The T3 moving average, one of the components of our indicator, applies a proprietary algorithm that provides smoother and more responsive trend signals. By utilizing T3, we ensure that the VWMA calculation aligns with the dynamic nature of high-volume markets, enabling traders to capture price movements accurately.
JMA (Jurik Moving Average):
The JMA component further enhances the indicator's responsiveness by incorporating phase shifting and power adjustment. This adaptive approach ensures that the moving average remains sensitive to changes in volume and price dynamics. As a result, traders can identify turning points and anticipate potential trend reversals, precisely timing their position entries.
KAMA (Kaufman's Adaptive Moving Average):
KAMA is an adaptive moving average designed to dynamically adjust its sensitivity based on market conditions. By incorporating KAMA into our VWMA modification, we ensure that the moving average adapts to varying volume levels and captures the essence of volume-driven price movements. Traders can confidently enter positions during periods of high trading volume, aligning their strategies with market activity.
Benefits and Usage
The modified T3 JMA KAMA VWMA Indicator offers several advantages to traders looking to exploit high-volume market conditions for position entry:
Increased Responsiveness: By incorporating more responsive moving averages, the indicator enables traders to react quickly to changes in volume and capture short-term opportunities more effectively.
Enhanced Entry Timing: The modified VWMA aligns with high-volume periods, allowing traders to enter positions precisely during price movements influenced by significant trading activity.
Improved Accuracy: The combination of T3, JMA, and KAMA within the VWMA formula enhances the accuracy of trend identification, reversals, and overall market analysis.
Comprehensive Market Insights: The T3 JMA KAMA VWMA Indicator provides a holistic view of market conditions by considering both price and volume dynamics. This comprehensive perspective helps traders make informed decisions.
Analysis and Interpretation
The modified VWMA formula with T3, JMA, and KAMA offers traders a valuable tool for analyzing volume-driven market conditions. By incorporating these advanced moving averages into the VWMA calculation, the indicator becomes more responsive to changes in volume, potentially providing deeper insights into price movements.
When analyzing the modified VWMA, it is essential to consider the following points:
Identifying High-Volume Periods:
The modified VWMA is designed to capture price movements during high-volume periods. Traders can use this indicator to identify potential market trends and determine whether significant trading activity is driving price action. By focusing on these periods, traders may gain a better understanding of the market sentiment and adjust their strategies accordingly.
Confirmation of Trend Strength:
The modified VWMA can serve as a confirmation tool for assessing the strength of a trend. When the VWMA line aligns with the overall trend direction, it suggests that the current price movement is supported by volume. This confirmation can provide traders with additional confidence in their analysis and help them make more informed trading decisions.
Potential Entry and Exit Points:
One of the primary purposes of the modified VWMA is to assist traders in identifying potential entry and exit points. By capturing volume-driven price movements, the indicator can highlight areas where market participants are actively participating, indicating potential opportunities for opening or closing positions. Traders can use this information in conjunction with other technical analysis tools to develop comprehensive trading strategies.
Interpretation of Angle and Gradient:
The modified VWMA incorporates an angle calculation and color gradient to further enhance interpretation. The angle of the VWMA line represents the slope of the indicator, providing insights into the momentum of price movements. A steep angle indicates strong momentum, while a shallow angle suggests a slowdown. The color gradient helps visualize this angle, with green indicating bullish momentum and purple indicating bearish momentum.
Conclusion
By modifying the VWMA formula to incorporate the T3, JMA, and KAMA moving averages, the T3 JMA KAMA VWMA Indicator offers traders an innovative tool to exploit high-volume market conditions for optimal position entry. This modification enhances responsiveness, improves timing, and provides comprehensive market insights.
Enjoy checking it out!
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Credits to:
◾ @cheatcountry – Hann Window Smoothing
◾ @loxx – T3
◾ @everget – JMA
+ JMA KDJ with RSI OB/OS SignalsSo, what is the KDJ indicator? If you're familiar with the Stochastic, then you'll know that the two oscillating lines are called the 'K' and 'D' lines. Now you know that this is some sort of implementation of the Stochastic. But, then, what is the J? The 'J' is simply the measure of convergence/divergence of the 'K' and 'D' lines, and the 'J' crossing the 'K' and 'D' lines is representational of the 'K' and 'D' lines themselves crossing. Is this an improvement over simply using the Stochastic as it is? Beats me. I don't use the Stochastic. I stumbled upon the KDJ while surfing around the web, and it sounded cool, so I thought I'd look at it. I do like it a bit more as the 'J' line being far overextended from the other two (usually into overbought/sold territory) does give a clear visual representation of the divergence of the 'K' and 'D' lines, which you might not notice otherwise. So, from that perspective I suppose it is nicer.
But let's get to the good stuff now, shall we? What did I do here?
Well, first thing you're wondering is why there are only two lines when based on my explanation (or your previous experience with the indicator) there should be three. I found this script here on TV, by x4random, who took the 'K' and 'D' lines and made an average of them, so there is only one line instead of the two. So, fewer lines on the indicator, but still the same usefulness. It was in older TV code, so I took it to version4 and cleaned up the code slightly. His indicator included the RSI ob/os plots, and I thought this was neat (even though the RSI being os/ob doesn't tell you much except that the trend is strong, and you should be buying pullback or selling rallies) so I kept them in. His indicator was also the most visually appealing one that I saw on here, so that attracted me too. Credit to x4random for the indicator, though.
Aside from code cleanup and adding the usual bells and whistles (which I will get to) the big thing I did here was change is RMA that he was using for the 'K' and 'D' lines to a Jurik MA's, which smooth a lot of the noise of other moving averages while maintaining responsiveness. This eliminates noise (false signals) while keeping the signals of significance. It took me a while to figure out how to substitute the JMA for the RMA, but thanks to QuantTherapy's "Jurik PPO" indicator I was able to nail down the implementation. One thing you might notice is that there is no input to change signal length. I fiddled with this for a time before sticking to using the period, instead of the signal (thus eliminating the use of the signal input altogether), length to generate the 'K' and 'D' calculations. To make any adjustments other than the period length use the Jurik Power input. You can use the phase input as well, but it has much less of an effect.
Everything else I changed is pretty much cosmetic.
Candle coloring with the option to color candles based on either the 'J' line or the 'KD' line.
color.from_gradients with color inputs to make it beautiful (this is probably my best looking indicator, imo)
plots for when crosses occur (really wish there was a way to plot these over candlesticks! If anyone has any suggestions I'd love to see!)
I think that's about it. Alerts of course.
Enjoy!
Below is a comparison chart of my JMA implementation to the original RMA script.
You can see how much smoother the JMA version is. Both of these had the default period of 55 set, and the JMA version is using the default settings, while the original version is using a length of 3 for the signal line.
