示例#1
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def fetch_stock_values(stock_code, start_date, end_date):
    """Fetches daily stock values from Yahoo Finance."""

    start_date = date_to_datetime(
        parse_date(start_date if start_date is not None else -30 * 3600 * 24))
    end_date = date_to_datetime(
        parse_date(end_date if end_date is not None else 0))

    if start_date > end_date:
        raise ValueError("start_date must be equal to or less than end_date")

    provider = Yahoo()
    rows = provider.asset_values(stock_code, start_date, end_date,
                                 Granularity.day)

    for row in rows:
        # TODO: Write a function to handle this for generic cases
        # TODO: Convert the timestamp to an ISO format
        # NOTE: The last column is data source. Not sure if this is an elegant
        # way to handle this.

        # FIXME: Think of a better way to handle this
        dt = row[0].isoformat()

        print(", ".join([dt] + [str(c) for c in row[1:]] + ["yahoo"]))
示例#2
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def test_date_to_datetime():
    date = parse_date("2018-01-13")
    dt_beginning = parse_datetime("2018-01-13 00:00:00")
    dt_end = parse_datetime("2018-01-13 23:59:59")

    assert date_to_datetime(date) == dt_beginning
    assert date_to_datetime(date, True) == dt_end
示例#3
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def fetch_stock_values(stock_code, start_date, end_date):
    """Fetches daily stock values from Yahoo Finance."""

    start_date = date_to_datetime(
        parse_date(start_date if start_date is not None else -30 * 3600 * 24))
    end_date = date_to_datetime(
        parse_date(end_date if end_date is not None else 0))

    if start_date > end_date:
        raise ValueError('start_date must be equal to or less than end_date')

    provider = Yahoo()
    rows = provider.asset_values(
        stock_code, start_date, end_date, Granularity.day)

    for row in rows:
        # TODO: Write a function to handle this for generic cases
        # TODO: Convert the timestamp to an ISO format
        # NOTE: The last column is data source. Not sure if this is an elegant
        # way to handle this.

        # FIXME: Think of a better way to handle this
        dt = row[0].isoformat()

        print(', '.join([dt] + [str(c) for c in row[1:]] + ['yahoo']))
示例#4
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def request_import_stock_values_handler(event, context):
    codes = ['AMD', 'AMZN', 'BRK-A', 'BRK-B', 'ESRT', 'NVDA', 'SBUX', 'SPY']
    start_time = date_to_datetime(parse_date(-3))
    end_time = date_to_datetime(parse_date(0))

    for code in codes:
        request_import_stock_values(code, start_time, end_time)

    log.info('Requested to import stock values: {0}', ', '.join(codes))
示例#5
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def request_import_stock_values_handler(event, context):
    codes = ["AMD", "AMZN", "BRK-A", "BRK-B", "ESRT", "NVDA", "SBUX", "SPY"]
    start_time = date_to_datetime(parse_date(-3))
    end_time = date_to_datetime(parse_date(0))

    for code in codes:
        request_import_stock_values(code, start_time, end_time)

    log.info("Requested to import stock values: {0}", ", ".join(codes))
示例#6
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def request_import_stock_values(code):
    """Enqueue a request to import stock values."""
    start_time = date_to_datetime(parse_date(-3))
    end_time = date_to_datetime(parse_date(0))

    request_import_stock_values_(code, start_time, end_time)
示例#7
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def request_import_stock_values(code):
    """Enqueue a request to import stock values."""
    start_time = date_to_datetime(parse_date(-3))
    end_time = date_to_datetime(parse_date(0))

    request_import_stock_values_(code, start_time, end_time)