INVITE-ONLY SCRIPT
업데이트됨 Machine Learning : Dominant Cycle Elastic Volume KNN

About the Script
Dominant Cycle Elastic Volume KNN ,
is a non-parametric algorithm, which means that, initially it makes no assumptions about the underlying distribution of the time-series price as well as volume.
This approach gives it flexibility so that it can be used on a wide variety of securities at variety of timeframes.(even on lower timeframes such as seconds)
The main purpose of this indicator is to predict the trend of the underlying, by converging price, volume and dominant cycle as dimensions and generate signals of action.
Key terms :
Dominant cycle is a time cycle that has a greater influence on the overall behaviour of a system than other cycles.
The system uses Ehlers method to calculate Dominant Cycle/ Period.
Dominant cycle is used to determine the influencing period for the underlying.
Once the dominant cycle/ period is identified, it is treated as a dynamic length for considering further calculations
Elastic Volume MA is a volume based moving average which is generally used to converge the volume with price, the dominant period is used here as the length parameter
KNN K-Nearest Neighbour is one of the simplest Machine Learning algorithms based on Supervised Learning technique.
K-NN algorithm assumes the similarity between the new case/data and available cases and put the new case into the category that is most similar to the available categories.
K-NN algorithm stores all the available data and classifies a new data point based on the similarity. This means when new data appears then it can be easily classified into a well suite category by using K- NN algorithm. K-NN algorithm can be used for Regression as well as for Classification but mostly it is used for the Classification problems.
So, K-NN is used here to classify the trend of the Dominant Cycle Elastic Volume, and Generate Signals on top of it
How to Use the Indicator ?
The Buy Signal Candle

The Sell Signal Candle

The Buy Setup

The Sell Setup

Stop and Reverse Structure

What Timeframes and Symbols can this indicator be used on ?
The above indicator can be used on any liquid security which has volume information intact with ticker
and it can be used on any timeframe, but the best timeframes are [ 5min, 15min, 30min, 1hr ]
The indicator can also be used as a trend confirmatory indicators on lower time frames, like 30second
The Script has provision for alerts
Two alerts are there :
Alert 1= "LONG CONDITION : DCEV-ML"
Alert 2= "SHORT CONDITION : DCEV-ML"
How to request for access ?
Simply private message me !
Dominant Cycle Elastic Volume KNN ,
is a non-parametric algorithm, which means that, initially it makes no assumptions about the underlying distribution of the time-series price as well as volume.
This approach gives it flexibility so that it can be used on a wide variety of securities at variety of timeframes.(even on lower timeframes such as seconds)
The main purpose of this indicator is to predict the trend of the underlying, by converging price, volume and dominant cycle as dimensions and generate signals of action.
Key terms :
Dominant cycle is a time cycle that has a greater influence on the overall behaviour of a system than other cycles.
The system uses Ehlers method to calculate Dominant Cycle/ Period.
Dominant cycle is used to determine the influencing period for the underlying.
Once the dominant cycle/ period is identified, it is treated as a dynamic length for considering further calculations
Elastic Volume MA is a volume based moving average which is generally used to converge the volume with price, the dominant period is used here as the length parameter
KNN K-Nearest Neighbour is one of the simplest Machine Learning algorithms based on Supervised Learning technique.
K-NN algorithm assumes the similarity between the new case/data and available cases and put the new case into the category that is most similar to the available categories.
K-NN algorithm stores all the available data and classifies a new data point based on the similarity. This means when new data appears then it can be easily classified into a well suite category by using K- NN algorithm. K-NN algorithm can be used for Regression as well as for Classification but mostly it is used for the Classification problems.
So, K-NN is used here to classify the trend of the Dominant Cycle Elastic Volume, and Generate Signals on top of it
How to Use the Indicator ?
The Buy Signal Candle
The Sell Signal Candle
The Buy Setup
The Sell Setup
Stop and Reverse Structure
What Timeframes and Symbols can this indicator be used on ?
The above indicator can be used on any liquid security which has volume information intact with ticker
and it can be used on any timeframe, but the best timeframes are [ 5min, 15min, 30min, 1hr ]
The indicator can also be used as a trend confirmatory indicators on lower time frames, like 30second
The Script has provision for alerts
Two alerts are there :
Alert 1= "LONG CONDITION : DCEV-ML"
Alert 2= "SHORT CONDITION : DCEV-ML"
How to request for access ?
Simply private message me !
릴리즈 노트
Regarding TimeframesBest timeframe for usage is 15min,
but it can also be used for 30sec, 1min, 2min as a confirmatory indicator
on higher timeframes this can be used for 30min, 1hour, 3hour, daily and weekly
초대 전용 스크립트
이 스크립트는 작성자가 승인한 사용자만 접근할 수 있습니다. 사용하려면 요청을 보내고 승인을 받아야 합니다. 일반적으로 결제 후에 승인이 이루어집니다. 자세한 내용은 아래 작성자의 지침을 따르거나 Ankit_1618에게 직접 문의하세요.
트레이딩뷰는 스크립트 작성자를 완전히 신뢰하고 스크립트 작동 방식을 이해하지 않는 한 스크립트 비용을 지불하거나 사용하지 않는 것을 권장하지 않습니다. 무료 오픈소스 대체 스크립트는 커뮤니티 스크립트에서 찾을 수 있습니다.
작성자 지시 사항
For access related stuff, simply private message me!
Get Ocs Ai Trader, Your personal Ai Trade Assistant here
→ ocstrader.com
About me
AlgoTrading Certification, ( University of Oxford, Säid Business School )
PGP Research Analysis, ( NISM, SEBI )
Electronics Engineer
→ ocstrader.com
About me
AlgoTrading Certification, ( University of Oxford, Säid Business School )
PGP Research Analysis, ( NISM, SEBI )
Electronics Engineer
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.
초대 전용 스크립트
이 스크립트는 작성자가 승인한 사용자만 접근할 수 있습니다. 사용하려면 요청을 보내고 승인을 받아야 합니다. 일반적으로 결제 후에 승인이 이루어집니다. 자세한 내용은 아래 작성자의 지침을 따르거나 Ankit_1618에게 직접 문의하세요.
트레이딩뷰는 스크립트 작성자를 완전히 신뢰하고 스크립트 작동 방식을 이해하지 않는 한 스크립트 비용을 지불하거나 사용하지 않는 것을 권장하지 않습니다. 무료 오픈소스 대체 스크립트는 커뮤니티 스크립트에서 찾을 수 있습니다.
작성자 지시 사항
For access related stuff, simply private message me!
Get Ocs Ai Trader, Your personal Ai Trade Assistant here
→ ocstrader.com
About me
AlgoTrading Certification, ( University of Oxford, Säid Business School )
PGP Research Analysis, ( NISM, SEBI )
Electronics Engineer
→ ocstrader.com
About me
AlgoTrading Certification, ( University of Oxford, Säid Business School )
PGP Research Analysis, ( NISM, SEBI )
Electronics Engineer
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.