The concept of Slope-intercept in mathematics is akin to a dove performing magic in the realm of equations and lines. With its elegant simplicity, it reveals the hidden beauty of a line's trajectory by incorporating both its slope and y-intercept values. Just as a dove magic graceful movements captivate onlookers, the Slope-InterceptN form gracefully unveils the relationship between variables, allowing us to conjure a clearer understanding of how different elements interact within the mathematical landscape.
========================================== This is where the indicator is used. Can you please suggest?
params = (
def log(self, txt, dt=None):
''' Logging function fot this strategy'''
dt = dt or self.datas.datetime.date(0)
print('%s, %s' % (dt.isoformat(), txt))
# Keep a reference to the "close" line in the data dataseries
self.dataclose = self.datas.close
self.slope = toroOLS(period=20)
# Simply log the closing price of the series from the reference
self.log('Close, %.2f' % self.dataclose)
self.log('Slope, %.10f' % self.slope)