souravchakraborty700
commented
7 months ago Have you found any solutions?
Open BlockchainPunks opened 8 months ago
souravchakraborty700
commented
7 months ago Have you found any solutions?
Opened : /notebooks/FinRL/examples/FinRL_PaperTrading_Demo.ipynb on google collab and tried locally.
Both times: Part 2: Train the agent fails with Tuple error: Alpaca successfully connected Data cleaning started align start and end dates produce full timestamp index Start processing tickers ticker list complete Start concat and rename Data clean finished! Started adding Indicators Running Loop Restore Timestamps Finished adding Indicators Data cleaning started align start and end dates produce full timestamp index Start processing tickers ticker list complete Start concat and rename Data clean finished!
TypeError Traceback (most recent call last) Cell In[64], line 1 ----> 1 train(start_date = '2022-08-25', 2 end_date = '2022-08-31', 3 ticker_list = ticker_list, 4 data_source = 'alpaca', 5 time_interval= '1Min', 6 technical_indicator_list= INDICATORS, 7 drl_lib='elegantrl', 8 env=env, 9 model_name='ppo', 10 if_vix=True, 11 API_KEY = API_KEY, 12 API_SECRET = API_SECRET, 13 API_BASE_URL = API_BASE_URL, 14 erl_params=ERL_PARAMS, 15 cwd='./papertrading_erl', #current_working_dir 16 break_step=1e5)
Cell In[49], line 60, in train(start_date, end_date, ticker_list, data_source, time_interval, technical_indicator_list, drl_lib, env, model_name, if_vix, **kwargs) 53 agent = DRLAgent_erl( 54 env=env, 55 price_array=price_array, 56 tech_array=tech_array, 57 turbulence_array=turbulence_array, 58 ) 59 model = agent.get_model(model_name, model_kwargs=erl_params) ---> 60 trained_model = agent.train_model( 61 model=model, cwd=cwd, total_timesteps=break_step 62 )
Cell In[48], line 77, in DRLAgent.train_model(self, model, cwd, total_timesteps) 75 model.cwd = cwd 76 model.break_step = total_timesteps ---> 77 train_agent(model)
Cell In[47], line 310, in train_agent(args) 308 env = build_env(args.env_class, args.env_args) 309 agent = args.agent_class(args.net_dims, args.state_dim, args.action_dim, gpu_id=args.gpu_id, args=args) --> 310 agent.states = env.reset()[np.newaxis, :] 312 evaluator = Evaluator(eval_env=build_env(args.env_class, args.env_args), 313 eval_per_step=args.eval_per_step, 314 eval_times=args.eval_times, 315 cwd=args.cwd) 316 torch.set_grad_enabled(False)
TypeError: tuple indices must be integers or slices, not tuple
please help as I cannot get paper trading demo to run