def economics_example():
"""
This method creates a set of regression analyses based on economics GDP's of the BRICS nations,
"""
# b: blue, g: green, r: red, c: cyan, m: magenta, y: yellow, k: black, w: white
statsmodels_args = RegressionSettings(1, False)
quandl_args_prices = QuandlSettings(15, 1, "yearly")
# South Africa, China, Brazil, India, Russia
regressions = [
RegressionAnalysis(
QuandlDownloader("WORLDBANK/ZAF_NY_GDP_MKTP_KN",
quandl_args_prices), statsmodels_args, 'b'),
RegressionAnalysis(
QuandlDownloader("WORLDBANK/CHN_NY_GDP_MKTP_KN",
quandl_args_prices), statsmodels_args, 'g'),
RegressionAnalysis(
QuandlDownloader("WORLDBANK/BRA_NY_GDP_MKTP_KN",
quandl_args_prices), statsmodels_args, 'k'),
RegressionAnalysis(
QuandlDownloader("WORLDBANK/IND_NY_GDP_MKTP_KN",
quandl_args_prices), statsmodels_args, 'm'),
RegressionAnalysis(
QuandlDownloader("WORLDBANK/RUS_NY_GDP_MKTP_KN",
quandl_args_prices), statsmodels_args, 'c')
]
SimplePlotter.plot_regression_line(regressions)
def trading_example():
"""
This method creates a set of regression analyses based on technical trading details (price)
"""
# b: blue, g: green, r: red, c: cyan, m: magenta, y: yellow, k: black, w: white
statsmodels_args_trade = RegressionSettings(1, True)
quandl_args_trade = QuandlSettings(350, 4, "weekly")
regressions_trade = [RegressionAnalysis(QuandlDownloader("GOOG/NASDAQ_GOOG", quandl_args_trade),
statsmodels_args_trade, 'b'),
RegressionAnalysis(QuandlDownloader("GOOG/NASDAQ_YHOO", quandl_args_trade),
statsmodels_args_trade, 'g')]
SimplePlotter.plot_regression_line(regressions_trade)
def investing_example():
"""
This method creates a set of regression analyses based on fundamental trading (revenues)
"""
# b: blue, g: green, r: red, c: cyan, m: magenta, y: yellow, k: black, w: white
statsmodels_args_inv = RegressionSettings(2, False)
quandl_args_inv = QuandlSettings(5, 1, "yearly")
regressions_inv = [RegressionAnalysis(QuandlDownloader("DMDRN/GOOG_REV_LAST", quandl_args_inv),
statsmodels_args_inv, 'b'),
RegressionAnalysis(QuandlDownloader("DMDRN/YHOO_REV_LAST", quandl_args_inv),
statsmodels_args_inv, 'g'),
RegressionAnalysis(QuandlDownloader("DMDRN/AAPL_REV_LAST", quandl_args_inv),
statsmodels_args_inv, 'k')]
SimplePlotter.plot_regression_line(regressions_inv)
def trading_example():
"""
This method creates a set of regression analyses based on technical trading details (price)
"""
# b: blue, g: green, r: red, c: cyan, m: magenta, y: yellow, k: black, w: white
statsmodels_args_trade = RegressionSettings(1, True)
quandl_args_trade = QuandlSettings(350, 4, "weekly")
regressions_trade = [
RegressionAnalysis(
QuandlDownloader("GOOG/NASDAQ_GOOG", quandl_args_trade),
statsmodels_args_trade, 'b'),
RegressionAnalysis(
QuandlDownloader("GOOG/NASDAQ_YHOO", quandl_args_trade),
statsmodels_args_trade, 'g')
]
SimplePlotter.plot_regression_line(regressions_trade)
def investing_example():
"""
This method creates a set of regression analyses based on fundamental trading (revenues)
"""
# b: blue, g: green, r: red, c: cyan, m: magenta, y: yellow, k: black, w: white
statsmodels_args_inv = RegressionSettings(2, False)
quandl_args_inv = QuandlSettings(5, 1, "yearly")
regressions_inv = [
RegressionAnalysis(
QuandlDownloader("DMDRN/GOOG_REV_LAST", quandl_args_inv),
statsmodels_args_inv, 'b'),
RegressionAnalysis(
QuandlDownloader("DMDRN/YHOO_REV_LAST", quandl_args_inv),
statsmodels_args_inv, 'g'),
RegressionAnalysis(
QuandlDownloader("DMDRN/AAPL_REV_LAST", quandl_args_inv),
statsmodels_args_inv, 'k')
]
SimplePlotter.plot_regression_line(regressions_inv)
def economics_example():
"""
This method creates a set of regression analyses based on economics GDP's of the BRICS nations,
"""
# b: blue, g: green, r: red, c: cyan, m: magenta, y: yellow, k: black, w: white
statsmodels_args = RegressionSettings(1, False)
quandl_args_prices = QuandlSettings(15, 1, "yearly")
# South Africa, China, Brazil, India, Russia
regressions = [RegressionAnalysis(QuandlDownloader("WORLDBANK/ZAF_NY_GDP_MKTP_KN", quandl_args_prices),
statsmodels_args, 'b'),
RegressionAnalysis(QuandlDownloader("WORLDBANK/CHN_NY_GDP_MKTP_KN", quandl_args_prices),
statsmodels_args, 'g'),
RegressionAnalysis(QuandlDownloader("WORLDBANK/BRA_NY_GDP_MKTP_KN", quandl_args_prices),
statsmodels_args, 'k'),
RegressionAnalysis(QuandlDownloader("WORLDBANK/IND_NY_GDP_MKTP_KN", quandl_args_prices),
statsmodels_args, 'm'),
RegressionAnalysis(QuandlDownloader("WORLDBANK/RUS_NY_GDP_MKTP_KN", quandl_args_prices),
statsmodels_args, 'c')]
SimplePlotter.plot_regression_line(regressions)