quant - modrpc/info GitHub Wiki

Table of Contents

websites

quant data: US

quant data: KR

coding

python

data Analysis Libraries

finance libraries

DX Analytics

numpy (numerical python)

  • ndarray: multi-dim array objects to store homogeneous or heterogeneous data
  • functions/methods to operate on such array objects -- either for element-wise computation or operations between arrays
  • tools for reading/writing arrays to disk
  • linear algebra operations, fourier transform, random number generation
  • C API to enable Python extensions and native C/C++ code to access NumPy's data structures and computational facilities

pandas

matplotlib

scipy

  • collection of sublibraries and functions for science or finance
  • e.g. functions for cubic splies interpolations, numerical integration, etc.

pytables

  • popular wrapper for the HDF5 data storage library (http://www.hdfgroup.org/HDF5)
  • implement optimized, disk-based I/O operations based on hierarchical database/file format
  • scipy.integrate: numerical integration routines and differential equation solvers
  • scipy.linalg: linear algebra routines and matrix decompositions extending beyond those provided in numpy.linalg
  • scipy.optimize: function optimizers (minimizers) and root finding algorithms
  • scipy.signal: signal processing tools
  • scipy.sparse: sparse matrices and sparse linear system solvers
  • scipy.special: wrapper around SPECFUN, a Fortran library implementing many common mathematical functions, such as the gamma function
  • scipy.stats: standard continuous and discrete probability distributions (density functions, samplers, continuous distribution functions), various statistical tests, and more descriptive statistics

jupyter notebooks

f.fn() package

Data retrieval

  • Get it from external service (by default, Yahoo! Finance)
data = ffn('spy,efa', start='2010-01-01', end='2014-01-01')

r packages

ExtQnt package

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