Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\envs\packtpub-src\lib\site-packages\IPython\core\interactiveshell.py", line 2878, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-2-fd19c848e75d>", line 1, in <module>
    runfile('C:/Users/Administrador/Notebooks/MLStock/Github/section 0006/main.py', wdir='C:/Users/Administrador/Notebooks/MLStock/Github/section 0006')
  File "C:\Users\Administrador\.IntelliJIdea2019.2\config\plugins\python\helpers\pydev\_pydev_bundle\pydev_umd.py", line 197, in runfile
    pydev_imports.execfile(filename, global_vars, local_vars)  # execute the script
  File "C:\Users\Administrador\.IntelliJIdea2019.2\config\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "C:/Users/Administrador/Notebooks/MLStock/Github/section 0006/main.py", line 15, in <module>
    main()
  File "C:/Users/Administrador/Notebooks/MLStock/Github/section 0006/main.py", line 10, in main
    perf = run_strategy("scalping")
  File "C:\Users\Administrador\Notebooks\MLStock\Github\section 0006\strategies\run_zipline.py", line 107, in run_strategy
    }, mod._test_args())
  File "C:\ProgramData\Anaconda3\envs\packtpub-src\lib\site-packages\zipline\utils\run_algo.py", line 407, in run_algorithm
    benchmark_spec=benchmark_spec,
  File "C:\ProgramData\Anaconda3\envs\packtpub-src\lib\site-packages\zipline\utils\run_algo.py", line 227, in _run
    "Neither '--benchmark-symbol' nor '--benchmark-sid' was"
zipline.utils.run_algo._RunAlgoError: No ``benchmark_spec`` was provided, and ``zipline.api.set_benchmark`` was not called in ``initialize``.

$ git branch 
* SEC001_VID005_Build_the_Conventional_Buy_and_Hold_Strategy
  SEC002_VID003_Plug_in_Random_Forests_Implementation_into_your_Bot
  SEC003_VID003_Implement_Statistical_Auto_Correlation_Strategy
  SEC005_VID002_Implement_Scalpers_Trading_Strategy
  SEC006_VID002_Implement_Value_at_Risk_Backtest
  SEC006_VID004_Implement_VaR_using_SVR
  master

$ zipline bundles
csvdir <no ingestions>
quandl 2020-01-05 16:35:57.206839
quantopian-quandl 2020-01-05 16:35:34.653587

$ python3 main.py 
*** PackPub - Hands-on Machine Learning for Algorithmic Trading Bots ***
*** SEC001/VID005: Build the Conventional Buy and Hold Strategy ***
Traceback (most recent call last):
  File "main.py", line 15, in <module>
    main()
  File "main.py", line 10, in main
    perf = run_strategy("buy_and_hold")
  File "/home/jupyter/nb/Machine.Learning.for.Algorithmic.Trading.Bots/packtpub-src/strategies/run_zipline.py", line 64, in run_strategy
    **merge({'capital_base': 1e7}, mod._test_args())
  File "/home/jupyter/env/lib/python3.5/site-packages/zipline/utils/run_algo.py", line 430, in run_algorithm
    blotter=blotter,
  File "/home/jupyter/env/lib/python3.5/site-packages/zipline/utils/run_algo.py", line 159, in _run
    trading_days=trading_calendar.schedule[start:end].index,
  File "/home/jupyter/env/lib/python3.5/site-packages/zipline/finance/trading.py", line 103, in __init__
    self.bm_symbol,
  File "/home/jupyter/env/lib/python3.5/site-packages/zipline/data/loader.py", line 149, in load_market_data
    environ,
  File "/home/jupyter/env/lib/python3.5/site-packages/zipline/data/loader.py", line 216, in ensure_benchmark_data
    data = get_benchmark_returns(symbol)
  File "/home/jupyter/env/lib/python3.5/site-packages/zipline/data/benchmarks.py", line 35, in get_benchmark_returns
    data = r.json()
  File "/home/jupyter/env/lib/python3.5/site-packages/requests/models.py", line 897, in json
    return complexjson.loads(self.text, **kwargs)
  File "/usr/lib/python3.5/json/__init__.py", line 319, in loads
    return _default_decoder.decode(s)
  File "/usr/lib/python3.5/json/decoder.py", line 339, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/usr/lib/python3.5/json/decoder.py", line 357, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)