AI4Finance-Foundation / AI4Finance-Foundation/FinRL-Tutorials

When I run FinRL_China_A_Share_Market.ipynb, the actions obtained from the training only traded in the firs two days. How to solve this problem?

Aperta
#62 1 commento 0 reazioni 0 assegnatari Vedi su GitHub
bug
Lingua principale
Jupyter Notebook
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Descrizione

df_actions:
600000.SH,600009.SH,600016.SH,600028.SH,600030.SH,600031.SH,600036.SH,600050.SH,600104.SH,600196.SH,600276.SH,600309.SH,600519.SH,600547.SH,600570.SH
-1000,1000,-1000,1000,1000,-1000,1000,1000,1000,-1000,1000,1000,1000,1000,-1000
0,0,0,0,0,0,0,300,0,0,0,500,1000,1000,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
......

Like this, only traded in the firs two days, other days are 0.
How should I adjust the parameters to solve this problem?
Thanks.

Guida per i contributori

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Direzione di ricerca

Start by running FinRL_China_A_Share_Market.ipynb and inspecting the training output in df_actions across the full date range. Review the notebook's training and parameter cells to determine why actions become zero after the first two days; done means identifying a reproducible cause and confirming that later days produce expected trades.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
jupyter-notebook
Ambito
fintech-quant, machine-learning
Tipo di issue
Bug
Difficoltà
4/5
Tempo stimato
3-5 giorni
Stato di attività
Ferma
Chiarezza
Da chiarire
Idoneità per principianti
25/100

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