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772435284 / QF-portfolio-investment-system

QF-based Hybrid DRL Portfolio Investment System
MIT License
11 stars 10 forks source link

Weight matrix very sparse #2

Closed q-learning-trader closed 10 months ago

q-learning-trader commented 10 months ago

I have multiplied the weights for 3000$ and set to 0 what is below 1$. I notice the matrix is very sparse (see attachment). Is there any reason for that? I was supposing it was more dense but in fact it trades only few securities per day. And it never trades some assets. The assets list is the following:

product_list = ['AUDCAD','AUDJPY','AUDUSD','CADCHF','CADJPY','CHFJPY','EURAUD','EURCAD','EURCHF','EURGBP','EURJPY','EURNZD','EURUSD','GBPCAD','GBPCHF','GBPJPY','GBPNZD','GBPUSD','NZDCAD','NZDCHF','NZDJPY','NZDUSD','USDCAD','USDCHF','USDJPY','EURDKK','EURSEK','EURNOK','USDDKK','USDSEK','USDNOK']
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772435284 commented 10 months ago

The matrix is very sparse because you put too many products inside one portfolio. I suggest you only put 5-10 products inside one portfolio and train multiple agents for each portfolio for trading.

q-learning-trader commented 10 months ago

Thanks @772435284 ! Do you mean train each portfolio with multiple concurrent agents or training with different agents such as PPO, SAC, A2C?

772435284 commented 10 months ago

Train each portfolio with multiple concurrent agents. Using different agents is ok as well, if the test performance is good.