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RemoteDataError #2070
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Hi @freddiev4 I installed from Github repo, when I ran |
I believe you're seeing that error because you need a Quandl API key, which
you can get by making a free account. Then you can run
QUANDL_API_KEY=yourkey zipline ingest -b quandl
Or you can try zipline ingest -b quantopian-quandl
…On Tue, Jan 2, 2018, 10:30 PM Ramesh Krishnan Ramasamy < ***@***.***> wrote:
Hi @freddiev4 <https://github.com/freddiev4> I installed from Github
repo, when I ran zipline ingest -b quandl command, I got zipline ingest
-b quandl error.
—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub
<#2070 (comment)>,
or mute the thread
<https://github.com/notifications/unsubscribe-auth/AH8-ShK-CCeEdIHjHr_3oEpey0pYJ52lks5tGvREgaJpZM4RQNuL>
.
|
FWIW there's a comment in the Zipline bundle docs about this.
…On Tue, Jan 2, 2018, 10:30 PM Ramesh Krishnan Ramasamy < ***@***.***> wrote:
Hi @freddiev4 <https://github.com/freddiev4> I installed from Github
repo, when I ran zipline ingest -b quandl command, I got zipline ingest
-b quandl error.
—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub
<#2070 (comment)>,
or mute the thread
<https://github.com/notifications/unsubscribe-auth/AH8-ShK-CCeEdIHjHr_3oEpey0pYJ52lks5tGvREgaJpZM4RQNuL>
.
|
Thanks, unfortunately |
Sorry, I was answering this from my email, and didn't see the Hmm...considering you're using conda, can you try I'm hoping that cutting a release for Zipline soon-ish will alleviate these issues. |
Thank you, @freddiev4 . I installed by
|
Closing this as you should be able to do this in the latest release of zipline. You can see the release notes here Feel free to update to 1.2.0 with either:
or
If there are any problems, please open a new issue 🙂 |
Hi freddiev,
!conda search --full-name zipline -c quantopian
zipline 1.2.0 np111py35_0 Quantopian However, when I use %load_ext zipline I get the error:
!pip install zipline Is there a way to get zipline up and running in a Azure / Jupyter notebook? Any advice will be greatly appreciated |
Dear Zipline Maintainers,
Before I tell you about my issue, let me describe my environment:
Environment
$ uname --all
)Windows10
$ python --version
Python 3.5.4 :: Anaconda, Inc.
$ python -c 'import math, sys;print(int(math.log(sys.maxsize + 1, 2) + 1))'
C:\ProgramData\Anaconda3\envs\py3.5\python35.zip
C:\ProgramData\Anaconda3\envs\py3.5\DLLs
C:\ProgramData\Anaconda3\envs\py3.5\lib
C:\ProgramData\Anaconda3\envs\py3.5
C:\ProgramData\Anaconda3\envs\py3.5\lib\site-packages
C:\ProgramData\Anaconda3\envs\py3.5\lib\site-packages\Babel-2.5.0-py3.5.egg
C:\ProgramData\Anaconda3\envs\py3.5\lib\site-packages\win32
C:\ProgramData\Anaconda3\envs\py3.5\lib\site-packages\win32\lib
C:\ProgramData\Anaconda3\envs\py3.5\lib\site-packages\Pythonwin
C:\ProgramData\Anaconda3\envs\py3.5\lib\site-packages\IPython\extensions
C:\Users\Ramesh.ipython
pip
,conda
, orother (please explain)
)pip
$ pip freeze
or$ conda list
alabaster 0.7.10 py35h3a808de_0
alembic 0.9.6
anaconda 5.0.0 py35h91a80f2_0
anaconda-client 1.6.5 py35h18499f7_0
anaconda-navigator 1.6.8 py35h84e1151_0
anaconda-project 0.8.0 py35h54b767f_0
asn1crypto 0.22.0 py35he3634b9_1
astroid 1.5.3 py35h82ecf54_0
astropy 2.0.2 py35h6e1a5eb_4
babel 2.5.0 py35hcd66c26_0
backports 1.0 py35he88aa47_1
backports.shutil_get_terminal_size 1.0.0 py35h9d89c8b_2
bcolz 0.12.1
beautifulsoup4 4.6.0 py35h61fcdcc_1
bitarray 0.8.1 py35ha601307_0
bkcharts 0.2 py35h4704c85_0
blaze 0.11.3 py35hae12140_0
bleach 2.0.0 py35he2a2600_0
bokeh 0.12.7 py35h06303ae_1
boto 2.48.0 py35ha0bef00_1
bottleneck 1.2.1 py35h8a3671c_0
bzip2 1.0.6 vc14hdec8e7a_1 [vc14]
ca-certificates 2017.08.26 h94faf87_0
cachecontrol 0.12.3 py35h3f82863_0
certifi 2017.7.27.1 py35hbab57cd_0
cffi 1.10.0 py35h4132a7f_1
chardet 3.0.4 py35h177e1b7_1
click 6.7 py35h10df73f_0
cloudpickle 0.4.0 py35h754485a_0
clyent 1.2.2 py35h3cd9751_1
colorama 0.3.9 py35h32a752f_0
comtypes 1.1.2 py35hfae9076_0
console_shortcut 0.1.1 haa4cab3_2
contextlib2 0.5.5 py35h0a97e54_0
cryptography 2.0.3 py35h67a4558_1
curl 7.55.1 vc14hdaba4a4_3 [vc14]
cycler 0.10.0 py35hcc71164_0
cyordereddict 1.0.0
cython 0.26.1 py35h91d0724_0
cytoolz 0.8.2 py35h6a98e29_0
dask 0.15.2 py35hea826ea_0
dask-core 0.15.2 py35he1b8ae7_0
datashape 0.5.4 py35ha38994c_0
decorator 4.1.2 py35hc7d1f2e_0
distlib 0.2.5 py35h12c42d7_0
distributed 1.18.3 py35h2fdf97d_0
docutils 0.14 py35h8ccb97f_0
empyrical 0.3.3
entrypoints 0.2.3 py35hb91ced9_2
et_xmlfile 1.0.1 py35h2c13def_0
fastcache 1.0.2 py35h8710e77_0
filelock 2.0.12 py35h4e16406_0
flask 0.12.2 py35he898f9a_0
flask-cors 3.0.3 py35h5700fb0_0
freetype 2.8 vc14h17c9bdf_0 [vc14]
get_terminal_size 1.0.0 h38e98db_0
gevent 1.2.2 py35hb3d9581_0
glob2 0.5 py35hb00d93b_1
greenlet 0.4.12 py35h0b77e5a_0
h5py 2.7.0 py35h9881aa0_1
hdf5 1.10.1 vc14hb361328_0 [vc14]
heapdict 1.0.0 py35h3d1311d_0
html5lib 0.999999999 py35h79d4e7f_0
icc_rt 2017.0.4 h97af966_0
icu 58.2 vc14hc45fdbb_0 [vc14]
idna 2.6 py35h8dcb9ae_1
imageio 2.2.0 py35hcd4b9a4_0
imagesize 0.7.1 py35h7f87e83_0
inflection 0.3.1
intel-openmp 2018.0.0 hcd89f80_7
intervaltree 2.1.0
ipykernel 4.6.1 py35hab2028a_0
ipython 6.1.0 py35haf90630_1
ipython_genutils 0.2.0 py35ha709e79_0
ipywidgets 7.0.0 py35h9c6a661_0
isort 4.2.15 py35h0bf7b49_0
itsdangerous 0.24 py35h99d45d4_1
jdcal 1.3 py35h49a1460_0
jedi 0.10.2 py35h3350e2d_0
jinja2 2.9.6 py35hab4de37_1
jpeg 9b vc14h4d7706e_1 [vc14]
jsonschema 2.6.0 py35h27d56d3_0
jupyter 1.0.0 py35hce9caf1_2
jupyter_client 5.1.0 py35hcddec19_0
jupyter_console 5.2.0 py35hf76c22e_1
jupyter_core 4.3.0 py35h93453ca_0
jupyterlab 0.27.0 py35hf0f7bbb_2
jupyterlab_launcher 0.4.0 py35h7c94a28_0
lazy-object-proxy 1.3.1 py35he996729_0
libiconv 1.15 vc14h29686d3_5 [vc14]
libpng 1.6.32 vc14hce43e6c_2 [vc14]
libssh2 1.8.0 vc14hcf584a9_2 [vc14]
libtiff 4.0.8 vc14h04e2a1e_10 [vc14]
libxml2 2.9.4 vc14h8fd0f11_5 [vc14]
libxslt 1.1.29 vc14hf85b8d4_5 [vc14]
llvmlite 0.20.0 py35_0
locket 0.2.0 py35h0dfcdd0_1
lockfile 0.12.2 py35h667c6d9_0
Logbook 1.1.0
lru-dict 1.1.6
lxml 3.8.0 py35h9002f32_0
Mako 1.0.7
markupsafe 1.0 py35hc253e08_1
matplotlib 2.0.2 py35h9bd10b2_1
mccabe 0.6.1 py35hcf31250_1
menuinst 1.4.8 py35h7787ee1_0
mistune 0.7.4 py35h21381af_0
mkl 2018.0.0 h36b65af_4
mkl-service 1.1.2 py35h051acba_4
more-itertools 4.0.1
mpmath 0.19 py35hd324aab_2
msgpack-python 0.4.8 py35hdef45cb_0
multipledispatch 0.4.9 py35hfb38682_0
navigator-updater 0.1.0 py35h1d043e2_0
nbconvert 5.3.1 py35h98d6c46_0
nbformat 4.4.0 py35h908c9d9_0
ndg-httpsclient 0.4.3
networkx 1.11 py35h097edc8_0
nltk 3.2.4 py35h592734c_0
nose 1.3.7 py35h0e9586c_2
notebook 5.0.0 py35hebc375d_1
numba 0.35.0 np113py35_10
numexpr 2.6.2 py35h7bc0bb2_1
numpy 1.13.1 py35h9801081_2
numpydoc 0.7.0 py35h72ac4f2_0
odo 0.5.1 py35hc850252_0
olefile 0.44 py35h7ba86d0_0
openpyxl 2.4.8 py35h6c05adf_1
openssl 1.0.2l vc14hcac20b0_2 [vc14]
packaging 16.8 py35h5fb721f_1
pandas 0.20.3 py35he2ce742_2
pandas 0.18.1
pandas-datareader 0.5.0
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py35h978f723_1
partd 0.3.8 py35h894d1e4_0
path.py 10.3.1 py35h111cd61_0
pathlib2 2.3.0 py35h4f1e8f6_0
patsy 0.4.1 py35h01e4a18_0
pep8 1.7.0 py35h15aeeed_0
pickleshare 0.7.4 py35h2f9f535_0
pillow 4.2.1 py35hd7da350_0
pip 9.0.1 py35h69293b5_3
pkginfo 1.4.1 py35hb922f74_1
ply 3.10 py35hb60f152_0
progress 1.3 py35ha84af61_0
prompt_toolkit 1.0.15 py35h89c7cb4_0
psutil 5.2.2 py35hb623197_0
py 1.4.34 py35hf344529_1
pyasn1 0.4.2
pycodestyle 2.3.1 py35h35694a3_0
pycosat 0.6.2 py35h396ce21_1
pycparser 2.18 py35h15a15da_1
pycrypto 2.6.1 py35h8890bb5_1
pycurl 7.43.0 py35hd6f0fee_3
pyflakes 1.5.0 py35hf25bbea_1
pygments 2.2.0 py35h24c0941_0
pylint 1.7.2 py35h573a187_0
pyodbc 4.0.17 py35he49b0b4_0
pyopenssl 17.2.0 py35hea705d1_0
pyparsing 2.2.0 py35hcabcaab_1
pyqt 5.6.0 py35hd46907b_5
pysocks 1.6.7 py35hb30ac0d_1
pytables 3.4.2 py35h90de74f_1
pytest 3.2.1 py35h656b196_1
python 3.5.4 hd3c4935_11
python-dateutil 2.6.1 py35h6b299a3_1
python-editor 1.0.3
pytz 2017.2 py35h3d6be01_1
pywavelets 0.5.2 py35h7c47ace_0
pywin32 221 py35h14ddfd5_0
pyyaml 3.12 py35h4bf9689_1
pyzmq 16.0.2 py35hc237a46_2
qt 5.6.2 vc14h6f8c307_12 [vc14]
qtawesome 0.4.4 py35h639d0ff_0
qtconsole 4.3.1 py35hc47b0dd_0
qtpy 1.3.1 py35h4918c39_0
Quandl 3.3.0
requests 2.18.4 py35h54a615f_1
requests-file 1.4.2
requests-ftp 0.3.1
rope 0.10.5 py35h54a0bee_0
ruamel_yaml 0.11.14 py35h7ef29f8_2
scikit-image 0.13.0 py35h49207bb_1
scikit-learn 0.19.0 py35h3bd3ce1_2
scipy 0.19.1 py35h1e2829e_3
seaborn 0.8.0 py35hda3c85b_0
setuptools 36.5.0 py35h21a22e4_0
simplegeneric 0.8.1 py35h6406082_0
singledispatch 3.4.0.3 py35h33f66b4_0
sip 4.18.1 py35h01cbaa7_2
six 1.10.0 py35h06cf344_1
snowballstemmer 1.2.1 py35h4c55bfa_0
sortedcollections 0.5.3 py35h4a7ff62_0
sortedcontainers 1.5.7 py35h9857911_0
sphinx 1.6.3 py35heeac824_0
sphinxcontrib 1.0 py35h45f5ca3_1
sphinxcontrib-websupport 1.0.1 py35ha3690eb_1
spyder 3.2.3 py35h0c9d003_0
sqlalchemy 1.1.13 py35h5463dee_0
sqlite 3.20.1 vc14h7ce8c62_1 [vc14]
statsmodels 0.8.0 py35hfa6034c_0
sympy 1.1.1 py35ha5375ed_0
tblib 1.3.2 py35hd2cf7e1_0
testpath 0.3.1 py35h06cf69e_0
tk 8.6.7 vc14hb68737d_1 [vc14]
toolz 0.8.2 py35h7afdc4e_0
tornado 4.5.2 py35h03246f3_0
traitlets 4.3.2 py35h09b975b_0
typing 3.6.2 py35h37628ea_0
unicodecsv 0.14.1 py35h0d88516_0
urllib3 1.22 py35h8cc84eb_0
vc 14 h2379b0c_1
vs2015_runtime 14.0.25123 hd4c4e62_1
wcwidth 0.1.7 py35h6e80d8a_0
webencodings 0.5.1 py35h5d527fb_1
werkzeug 0.12.2 py35hc854123_0
wheel 0.29.0 py35hdbcb6e6_1
widgetsnbextension 3.0.2 py35ha8638b2_1
win_inet_pton 1.0.1 py35hbef1270_1
win_unicode_console 0.5 py35h56988b5_0
wincertstore 0.2 py35hfebbdb8_0
wrapt 1.10.11 py35h54666f7_0
xlrd 1.1.0 py35h22b952b_1
xlsxwriter 0.9.8 py35hd46c63e_0
xlwings 0.11.4 py35he637782_0
xlwt 1.3.0 py35hd04410a_0
yaml 0.1.7 vc14hb31d195_1 [vc14]
zict 0.1.2 py35h42e54d5_0
zipline 1.1.1
zlib 1.2.11 vc14h1cdd9ab_1 [vc14]
Now that you know a little about me, let me tell you about the issue I am
having:
Description of Issue
Tried to run given basic buyapple example in Jupyter Notebook
RemoteDataError: Unable to read URL: http://www.google.com/finance/historical?q=SPY&enddate=Dec+28%2C+2017&startdate=Dec+29%2C+1989&output=csv
Here is how you can reproduce this issue on your machine:
Reproduction Steps
%%zipline --start 2000-1-1 --end 2014-1-1
from zipline.api import symbol, order, record
def initialize(context):
pass
def handle_data(context, data):
order(symbol('AAPL'), 10)
record(AAPL=data[symbol('AAPL')].price)
...
What steps have you taken to resolve this already?
...
Anything else?
...
Sincerely,
$Ramesh
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