lag-llama xaususd

 

hi ,

anybody tried lag-llama for xauusd trading ?

how good it is for trading .

 

As all other indicators, it may be good or bad, depending on how you use it.

By itself, it will not be a holy grail, exactyl as all other indicators.

 
Fabio Cavalloni #:

As all other indicators, it may be good or bad, depending on how you use it.

By itself, it will not be a holy grail, exactyl as all other indicators.

lag-llama is not an indicator. its a time series forecasting AI model

 
kiran kumar:

hi ,

anybody tried lag-llama for xauusd trading ?

how good it is for trading .

Like any tool, depends on those who wield it.

 
Rajesh Kumar Nait #:

lag-llama is not an indicator. its a time series forecasting AI model

Which, by definition, is an indication, not a pre defined decision or a fact. It indicates, like an indicator.
 
Dominik Egert #:
Which, by definition, is an indication, not a pre defined decision or a fact. It indicates, like an indicato
 Lag Llama is actually a feature engineering tool
  • It is not an indicator in the sense of a financial metric.
  • It is not a full forecasting model either.
  • It is a feature engineering tool that helps other forecasting models by providing them with smart, lag-related features.

What does it do?

  • Automatically computes useful lag features (like the value from 7 days ago, 30 days ago, etc.)
  • Adds rolling statistics (like rolling mean, std, min, max, etc.)
  • Applies detrending, seasonal decompositions, and more
  • Supports tabular machine learning models for forecasting
 
Rajesh Kumar Nait #:
  • It is not an indicator in the sense of a financial metric.
  • It is not a full forecasting model either.
  • It is a feature engineering tool that helps other forecasting models by providing them with smart, lag-related features.

What does it do?

  • Automatically computes useful lag features (like the value from 7 days ago, 30 days ago, etc.)
  • Adds rolling statistics (like rolling mean, std, min, max, etc.)
  • Applies detrending, seasonal decompositions, and more
  • Supports tabular machine learning models for forecasting
Well then its not a forecasting model either.