Open stefanaerospace opened 6 years ago
Need an adaptive spline technique. Current Spline methods leave us open to predetermined degree bias. Taylor Methods?
Found out that we can introduce knots into the spline, this allows for N cubic splines to be on the same plot. 5 seems to be good enough for a small pilot set of data. A knot is where two splines connect, so we will have N+1 splines on a graph.
BOOKIE added
Adding an overarching script to run functions, this should speed up the testing process by providing an initial backend for testing, this can also be used to run functions for running operational function libraries. Calling this script bookie.py
RENAMING jeep to hill
The current function in branch doesn't do hill climbing or steepest ascent path finding, but it does determine the hill slope for a specific time frame.
Make a function that takes a stock ticker and a time frame key and returns the average first and second derivative for that time frame.