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error in FinRL-Tutorials/3-Practical/FinRL_PaperTrading_Demo.ipynb #57

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Kadokoda opened this issue Apr 4, 2023 · 2 comments
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@Kadokoda
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Kadokoda commented Apr 4, 2023

FinRL-Tutorials/3-Practical/FinRL_PaperTrading_Demo.ipynb
In Part 2: Train the agent
Train
(https://colab.research.google.com/github/AI4Finance-Foundation/FinRL-Tutorials/blob/master/3-Practical/FinRL_PaperTrading_Demo.ipynb#scrollTo=BxcNI2fdNjip&line=1&uniqifier=1)

I run this:
train(start_date = '2022-08-25',
end_date = '2022-08-31',
ticker_list = ticker_list,
data_source = 'alpaca',
time_interval= '1Min',
technical_indicator_list= INDICATORS,
drl_lib='elegantrl',
env=env,
model_name='ppo',
if_vix=True,
API_KEY = API_KEY,
API_SECRET = API_SECRET,
API_BASE_URL = API_BASE_URL,
erl_params=ERL_PARAMS,
cwd='./papertrading_erl', #current_working_dir
break_step=1e5)

And got error.

Alpaca successfully connected

AttributeError Traceback (most recent call last)
in <cell 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',

2 frames
/usr/local/lib/python3.9/site-packages/finrl/meta/data_processors/processor_alpaca.py in download_data(self, ticker_list, start_date, end_date, time_interval)
50 # filter opening time of the New York Stock Exchange (NYSE) (from 9:30 am to 4:00 pm) if time_interval < 1D
51 day_delta = 86400000000000 # pd.Timedelta('1D').delta == 86400000000000
---> 52 if pd.Timedelta(time_interval).delta < day_delta:
53 NYSE_open_hour = "14:30" # in UTC
54 NYSE_close_hour = "20:59" # in UTC

AttributeError: 'Timedelta' object has no attribute 'delta'

@YangletLiu YangletLiu added the bug Something isn't working label Apr 4, 2023
@leeallen00
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data = DP.download_data(start_date = '2021-10-04',
end_date = '2021-10-08',
ticker_list = ticker_list,
time_interval= '1Min')

/usr/local/lib/python3.9/site-packages/finrl/meta/data_processors/processor_alpaca.py in download_data(self, ticker_list, start_date, end_date, time_interval)
50 # filter opening time of the New York Stock Exchange (NYSE) (from 9:30 am to 4:00 pm) if time_interval < 1D
51 day_delta = 86400000000000 # pd.Timedelta('1D').delta == 86400000000000
---> 52 if pd.Timedelta(time_interval).delta < day_delta:
53 NYSE_open_hour = "14:30" # in UTC
54 NYSE_close_hour = "20:59" # in UTC

AttributeError: 'Timedelta' object has no attribute 'delta'

@uday-uppal
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I ran the same jupyter notebook in google colab and ran into the following error. Kindly help with it.

Alpaca successfully connected

TypeError Traceback (most recent call last)
in <cell 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',

2 frames
in train(start_date, end_date, ticker_list, data_source, time_interval, technical_indicator_list, drl_lib, env, model_name, if_vix, **kwargs)
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 )

in train_model(self, model, cwd, total_timesteps)
75 model.cwd = cwd
76 model.break_step = total_timesteps
---> 77 train_agent(model)
78
79 @staticmethod

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, :]
311
312 evaluator = Evaluator(eval_env=build_env(args.env_class, args.env_args),

TypeError: tuple indices must be integers or slices, not tuple

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