INVITE-ONLY SCRIPT
更新済 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 !
リリースノート
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
招待専用スクリプト
こちらのスクリプトにアクセスできるのは投稿者が承認したユーザーだけです。投稿者にリクエストして使用許可を得る必要があります。通常の場合、支払い後に許可されます。詳細については、以下、作者の指示をお読みになるか、Ankit_1618に直接ご連絡ください。
スクリプトの機能を理解し、その作者を全面的に信頼しているのでなければ、お金を支払ってまでそのスクリプトを利用することをTradingViewとしては「非推奨」としています。コミュニティスクリプトの中で、その代わりとなる無料かつオープンソースのスクリプトを見つけられる可能性もあります。
作者の指示
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
免責事項
これらの情報および投稿は、TradingViewが提供または保証する金融、投資、取引、またはその他の種類のアドバイスや推奨を意図したものではなく、またそのようなものでもありません。詳しくは利用規約をご覧ください。
招待専用スクリプト
こちらのスクリプトにアクセスできるのは投稿者が承認したユーザーだけです。投稿者にリクエストして使用許可を得る必要があります。通常の場合、支払い後に許可されます。詳細については、以下、作者の指示をお読みになるか、Ankit_1618に直接ご連絡ください。
スクリプトの機能を理解し、その作者を全面的に信頼しているのでなければ、お金を支払ってまでそのスクリプトを利用することをTradingViewとしては「非推奨」としています。コミュニティスクリプトの中で、その代わりとなる無料かつオープンソースのスクリプトを見つけられる可能性もあります。
作者の指示
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
免責事項
これらの情報および投稿は、TradingViewが提供または保証する金融、投資、取引、またはその他の種類のアドバイスや推奨を意図したものではなく、またそのようなものでもありません。詳しくは利用規約をご覧ください。