pycharm 导入opencv anaconda3_Zipline+Pycharm 安装与配置

conda create -n env_zipline python=3.5

activate env_zipline

conda install -c Quantopian zipline

# 设置quandl的api key
set QUANDL_API_KEY=66666666666666
 
# 下载数据包
zipline ingest -b quandl

from zipline.api import order, record, symbol
from zipline.finance import commission, slippage
from zipline import run_algorithm
import pandas as pd
def initialize(context):
    context.asset = symbol('AAPL')
    context.set_commission(commission.PerShare(cost=.0075, min_trade_cost=1.0))
    context.set_slippage(slippage.VolumeShareSlippage())
 
 
def handle_data(context, data):
    order(context.asset, 10)
    record(AAPL=data.current(context.asset, 'price'))
 
def analyze(context=None, results=None):
    import matplotlib.pyplot as plt
    # Plot the portfolio and asset data.
    ax1 = plt.subplot(211)
    results.portfolio_value.plot(ax=ax1)
    ax1.set_ylabel('Portfolio value (USD)')
    ax2 = plt.subplot(212, sharex=ax1)
    results.AAPL.plot(ax=ax2)
    ax2.set_ylabel('AAPL price (USD)')
 
    # Show the plot.
    plt.gcf().set_size_inches(18, 8)
    plt.show()
 
 
def _test_args():
    """Extra arguments to use when zipline's automated tests run this example.
    """
    import pandas as pd
 
    return {
        'start': pd.Timestamp('2014-01-01', tz='utc'),
        'end': pd.Timestamp('2014-11-01', tz='utc'),
    }
 
 
if __name__ == '__main__':
    capital_base = 200000
    start = pd.to_datetime('2015-01-01').tz_localize('US/Eastern')
    end = pd.to_datetime('2016-01-01').tz_localize('US/Eastern')
    result = run_algorithm(start=start, end=end, initialize=initialize,
                           capital_base=capital_base, handle_data=handle_data,
                           bundle='quandl', analyze=analyze)

Traceback (most recent call last):
  File "C:/Users/Pro/PycharmProjects/zipline_test/Buy_apple.py", line 62, in <module>
    bundle='quandl', analyze=analyze)
  File "C:UsersProAnaconda3envsenv_ziplinelibsite-packagesziplineutilsrun_algo.py", line 430, in run_algorithm
    blotter=blotter,
  File "C:UsersProAnaconda3envsenv_ziplinelibsite-packagesziplineutilsrun_algo.py", line 159, in _run
    trading_days=trading_calendar.schedule[start:end].index,
  File "C:UsersProAnaconda3envsenv_ziplinelibsite-packagesziplinefinancetrading.py", line 103, in __init__
    self.bm_symbol,
  File "C:UsersProAnaconda3envsenv_ziplinelibsite-packagesziplinedataloader.py", line 149, in load_market_data
    environ,
  File "C:UsersProAnaconda3envsenv_ziplinelibsite-packagesziplinedataloader.py", line 216, in ensure_benchmark_data
    data = get_benchmark_returns(symbol)
  File "C:UsersProAnaconda3envsenv_ziplinelibsite-packagesziplinedatabenchmarks.py", line 39, in get_benchmark_returns
    data = r.json()
  File "C:UsersProAnaconda3envsenv_ziplinelibsite-packagesrequestsmodels.py", line 897, in json
    return complexjson.loads(self.text, **kwargs)
  File "C:UsersProAnaconda3envsenv_ziplinelibjson__init__.py", line 319, in loads
    return _default_decoder.decode(s)
  File "C:UsersProAnaconda3envsenv_ziplinelibjsondecoder.py", line 339, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "C:UsersProAnaconda3envsenv_ziplinelibjsondecoder.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)

 token = 'pk_numbersnumbersnumbers'
    r = requests.get(
        'https://cloud.iexapis.com/stable/stock/{}/chart/5y?token={}'.format(symbol, token)
    )