great questions from the professors I would give him 18/20 values ! that npoc value was too low, and the amount of data feeded into the LSTM was huge ( 120 ) no attention !
2 questions: 1. No max drawdown, no sharpe ratio... Only number of trades and pnl in results is not convincing. 2. Indicators have hyperparameters, and the signals are much sensitive to them. There's no discussion about the parameters as features of the neural networks.
I will be looking at your code in depth.
great questions from the professors
I would give him 18/20 values !
that npoc value was too low, and the amount of data feeded into the LSTM was huge ( 120 ) no attention !
hmmm.. so its not profitable to be usable? were the bid/ask spread or commission included in determining a win?
I am interesting this, What is this course under? Thanks
2 questions:
1. No max drawdown, no sharpe ratio... Only number of trades and pnl in results is not convincing.
2. Indicators have hyperparameters, and the signals are much sensitive to them. There's no discussion about the parameters as features of the neural networks.
1) only 1 trade was executed with 15pip tp/sl so no issue of drawdown; 2) mostly standard parameters for technical indicators used.
@@MatloobKhushi Thanks for explaination.
Noticias caracol