lendingclub 0.1.10

简单的搜索和排序

搜索B级贷款并在第一笔贷款中投资25美元：

>>> from lendingclub import LendingClub
>>> from lendingclub.filters import Filter
>>> lc = LendingClub()
>>> lc.authenticate()
Email:test@test.com
Password:
True
>>> filters = Filter()
>>> filters['grades']['B'] = True      # Filter for only B grade loans
>>> results = lc.search(filters)       # Search using this filter
>>> len(results['loans'])              # See how many results returned
100
>>> results['loans'][0]['loan_id']     # See the loan_id of the first loan
1763030
>>> order = lc.start_order()           # Start a new investment order
>>> order.add(1763030, 25)             # Add the first loan to the order with a $25 investment
>>> order.execute()                    # Execute the order
1861879
>>> order.order_id                     # See the order ID
1861879
>>> order.assign_to_portfolio('Foo')   # Assign the loans in this order to a portfolio called 'Foo'
True

投资贷款组合

在这里，我们想投资400美元在一个只有B，C，D和E级债券的投资组合，平均总回报率在17%-19%之间。这类似于在lendingclub.com上的“投资”部分找到投资组合：

>>> from lendingclub import LendingClub
>>> from lendingclub.filters import Filter
>>> lc = LendingClub()
>>> lc.authenticate()
Email:test@test.com
Password:
True
>>> filters = Filter()                # Set the filters
>>> filters['grades']['B'] = True     # See Pro Tips for a shorter way to do this
>>> filters['grades']['C'] = True
>>> filters['grades']['D'] = True
>>> filters['grades']['E'] = True
>>> lc.get_cash_balance()             # See the cash you have available for investing
463.80000000000001
                                      # Find a portfolio to invest in ($400, between 17-19%, $25 per note)
>>> portfolio = lc.build_portfolio(400,
        min_percent=17.0,
        max_percent=19.0,
        max_per_note=25,
        filters=filters)

>>> len(portfolio['loan_fractions'])  # See how many loans are in this portfolio
16
>>> loans_notes = portfolio['loan_fractions']
>>> order = lc.start_order()          # Start a new order
>>> order.add_batch(loans_notes)      # Add the loans to the order
>>> order.execute()                   # Execute the order
1861880

您的贷款票据

获取已投资的贷款票据列表（默认情况下，一次只返回100）：

>>> from lendingclub import LendingClub
>>> lc = LendingClub()
>>> lc.authenticate()
Email:test@test.com
Password:
True
>>> notes = lc.my_notes()                  # Get the first 100 loan notes
>>> len(notes['loans'])
100
>>> notes['total']                          # See the total number of loan notes you have
630
>>> notes = lc.my_notes(start_index=100)   # Get the next 100 loan notes
>>> len(notes['loans'])
100
>>> notes = lc.my_notes(get_all=True)       # Get all notes in one request (may be slow)
>>> len(notes['loans'])
630

使用保存的过滤器

使用lendingclub.com上保存的筛选器搜索贷款请参见下面的注释：

>>> from lendingclub import LendingClub
>>> from lendingclub.filters import SavedFilter
>>> lc = LendingClub()
>>> lc.authenticate()
Email:test@test.com
Password:
True
>>> filters = lc.get_saved_filters()         # Get a list of all saved filters on LendinClub.com
>>> print filters                            # I've pretty printed the output for you
[
    <SavedFilter: 12345, '90 Percent'>,
    <SavedFilter: 23456, 'Only A loans'>
]
>>> filter = lc.get_saved_filter(23456)      # Load a saved filter by ID 7611034
>>> filter.name
u'Only A'
>>> results = lc.search(filter)              # Search for loan notes with that filter
>>> len(results['loans'])
100

注意：使用保存的搜索筛选器时，应始终确认返回的结果与筛选器匹配。这是因为LendingClub的搜索API不够宽容。当我们从服务器获取保存的筛选器，然后将其发送到搜索API时，如果其中任何部分已被更改或损坏，LendingClub将执行通配符搜索，而不是使用筛选器。这个python模块中的代码非常注意保持过滤器的原始性并检查不一致性，但这不能替代个人投资者的勤奋。

批量投资

在一个动作中投资贷款列表：

>>> from lendingclub import LendingClub
>>> lc = LendingClub(email='test@test.com', password='secret123')
>>> lc.authenticate()
True
>>> loans = [1234, 2345, 3456]       # Create a list of loan IDs
>>> order = lc.start_order()          # Start a new order
>>> order.add_batch(loans, 25)        # Invest $25 in each loan
>>> order.execute()                   # Execute the order
1861880

获取更多注释详细信息

浏览便笺时，您可以通过请求“loandetailaj.action”url:

>>> import pprint as pp
>>> from lendingclub import LendingClub
>>> from lendingclub.filters import Filter
>>> lc = LendingClub()
>>> lc.authenticate()
True
>>> filters = Filter()
>>> filters['grades']['B'] = True
>>> results = lc.search(filters)
>>> load_id = results['loans'][0]['loan_id']
>>> request = lc.session.get('/browse/loanDetailAj.action', query={'loan_id': load_id} )
>>> details = request.json()
>>> pp.pprint(details)
{u'DTI': u'21.24',
 u'amountDelinquent': u'$0.00',
 u'collectionsExcludingMedical': u'0',
 u'completeTenure': u'10+ years',
 u'creditDateShort': u'7/14/14',
 ...
 u'verifiedIncome': u'false'}

电子邮件/密码

初始化LendingClub对象时设置电子邮件/密码：

lc = LendingClub(email='you@your.com', password='illnevertell')

过滤一个衬套

在init行中定义一些过滤器：

filters = Filter({'grades': {'B': True, 'C': True, 'D': True, 'E': True}})