def main(plot):
instruments = ["AA", "AES", "AIG"]
feed = yahoofinance.build_feed(instruments, 2008, 2009, ".")
predicate = BuyOnGap(feed)
eventProfiler = eventprofiler.Profiler(predicate, 5, 5)
eventProfiler.run(feed, True)
results = eventProfiler.getResults()
print "%d events found" % (results.getEventCount())
if plot:
eventprofiler.plot(results)
def main(plot):
instruments = ["AA", "AES", "AIG"]
feed = googlefinance.build_feed(instruments, 2008, 2009, ".")
predicate = BuyOnGap(feed)
eventProfiler = eventprofiler.Profiler(predicate, 5, 5)
eventProfiler.run(feed, True)
results = eventProfiler.getResults()
print "%d events found" % (results.getEventCount())
if plot:
eventprofiler.plot(results)
def main(plot):
instruments = ["MSFT", "AA"]
feed = yahoofinance.build_feed(instruments, 2008, 2014, "data")
predicate = BuyOnGap(feed)
eventProfiler = eventprofiler.Profiler(predicate, 5, 5)
eventProfiler.run(feed, True)
results = eventProfiler.getResults()
print "%d events found" % (results.getEventCount())
if plot:
eventprofiler.plot(results)
def main(plot):
instruments = ["IBM", "AES", "AIG"]
feed = quandl.build_feed("WIKI", instruments, 2008, 2009, ".")
predicate = BuyOnGap(feed)
eventProfiler = eventprofiler.Profiler(predicate, 5, 5)
eventProfiler.run(feed, True)
results = eventProfiler.getResults()
print("%d events found" % (results.getEventCount()))
if plot:
eventprofiler.plot(results)
def main(plot):
symbols = ["IBM", "AES", "AIG"]
priceCurrency = "USD"
feed = quandl.build_feed("WIKI", symbols, priceCurrency, 2008, 2009, ".")
instruments = ["%s/%s" % (symbol, priceCurrency) for symbol in symbols]
predicate = BuyOnGap(feed, instruments)
eventProfiler = eventprofiler.Profiler(predicate, 5, 5)
eventProfiler.run(feed, True)
results = eventProfiler.getResults()
print("%d events found" % (results.getEventCount()))
if plot:
eventprofiler.plot(results)
def main(plot):
instrument = "n225"
# Load the bar feed from the CSV file
feed = yahoofeed.Feed()
feed.addBarsFromCSV(instrument, r".\Data\n225.csv")
predicate = BuyOnGap(feed)
eventProfiler = eventprofiler.Profiler(predicate, 5, 5)
eventProfiler.run(feed, True)
results = eventProfiler.getResults()
print("%d events found" % (results.getEventCount()))
if plot:
eventprofiler.plot(results)