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jupyter配置虚拟环境:安装zipline quandl

时间:2023-05-03 05:43:07

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jupyter配置虚拟环境:安装zipline quandl

zipline安装

官方说版本用3.5还强烈建议用conda,我尝试window实在太累了。

创建环境:

conda create -n env_zipline python=3.5

使用环境:

conda activate env_zipline

退出则是:

conda deactivate

安装:

conda install -c Quantopian zipline

安装这个模块,会附带安装几十个依赖模块,我这笔记本疯狂转…

查看:

conda env list

安装ipykernel:

conda install ipykernel

将选择的conda环境注入Jupyter Notebook

python -m ipykernel install --user --name env_zipline --display-name "conda env_zipline"

打开notebook

jupyter notebook

进去就是环境里面了

quandl安装

进入网站:

/account/profile

创建账号,到用户设置查看key:

执行:

set QUANDL_API_KEY=qLkRnYQDoj-7yJUjgoD7

再执行:

zipline ingest -b quandl

安装又遇到了这个错误:

ValueError: Boolean array expected for the condition, not float64

解决办法pandas降到0.18.1:

conda install pandas==0.18.1

再来执行:

zipline ingest -b quandl

成功!!

测试

测试代码test.py:

# coding=gbk"""作者:川川公众号:玩转大数据@时间 : /2/21 5:35"""from zipline.api import order, record, symbolfrom zipline.finance import commission, slippagedef initialize(context):context.asset = symbol('AAPL')# Explicitly set the commission/slippage to the "old" value until we can# rebuild example data.# /quantopian/zipline/blob/master/tests/resources/# rebuild_example_data#L105context.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'))# Note: this function can be removed if running# this algorithm on 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 pdreturn {'start': pd.Timestamp('-01-01', tz='utc'),'end': pd.Timestamp('-11-01', tz='utc'),}

执行:

zipline run -f test.py --start 2000-1-1 --end -1-1 -o buyapple_out.pickle

然而又遇到报错

json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

解决:

https://polygon.io/dashboard/

得到你的密钥:

到data目录下:benchmarks.py 中更改 API 请求

修改如下:

…md不改了,睡觉,请参考:

/quantopian/zipline/issues/2480

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