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291 to 300 of 691 Results

MSFTr.npy Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Unknown - 37.5 KB - MD5: f917c4be5d912e56dd9dcb95110d2a63 Numpy file for daily fractional returns of MSFT between 2005 and 2023.
plotDJIA.py Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Python Source Code - 773 B - MD5: 33e3c527452751c74b40c7be7ef829bf Python script used to plot the DJI closing prices and daily fractional returns between 31 Dec 2002 and 31 Dec 2023
plotGOOGMSFT.py Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Python Source Code - 762 B - MD5: 5069d239544f158f4ab16f7080ee9cf9 Python script to plot the daily closing prices for GOOG and MSFT between 2005 and 2023.
plotGOOGMSFTr.py Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Python Source Code - 641 B - MD5: 9aca6185dacee2bda50c0dcac831cb8c Python script to plot the daily fractional returns for GOOG and MSFT between 2005 and 2023.
plotnoisytanh.py Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Python Source Code - 578 B - MD5: e4f1546288b33ad8171f7a3bf65b078a Python script to plot tanh(t) contaminated by Gaussian noise, and the resulting numerical derivative.
plottanhbox.py Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Python Source Code - 1.2 KB - MD5: 69608d1d978c7c6d672fc8a1f152fce5 Python script to plot the explanation for the quasi-differentiation method.
plottanh.py Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Python Source Code - 689 B - MD5: d54a3913d3c4b6ef62b112e5b13178c3 Python script to plot tanh(t), its derivative, and its second derivative.
plottanhquasidiff.py Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Python Source Code - 720 B - MD5: f83336a8482ca5ae146ec2f8a464ad7e Python script computing and plotting the quasi-derivative of tanh(t), and comparing it to the analytical derivative of tanh(t).
QDDJIAdI1heatmap.py Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Python Source Code - 1.8 KB - MD5: e3fe7f18f719570991385238b48c8e7e Python script to plot the heat map for the mean of DJI daily fractional return between 1 Jan 2003 and 31 Dec 2023, for window sizes between 20 and 250.
QDDJIAdI2heatmap.py Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems Python Source Code - 1.8 KB - MD5: 20fbab4bf9ae37458b99aca801b89882 Python script to plot the heat map for the variance of DJI daily fractional return between 1 Jan 2003 and 31 Dec 2023, for window sizes between 20 and 250.

MSFTr.npy

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Unknown - 37.5 KB -

Numpy file for daily fractional returns of MSFT between 2005 and 2023.

plotDJIA.py

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Python Source Code - 773 B -

Python script used to plot the DJI closing prices and daily fractional returns between 31 Dec 2002 and 31 Dec 2023

plotGOOGMSFT.py

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Python Source Code - 762 B -

Python script to plot the daily closing prices for GOOG and MSFT between 2005 and 2023.

plotGOOGMSFTr.py

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Python Source Code - 641 B -

Python script to plot the daily fractional returns for GOOG and MSFT between 2005 and 2023.

plotnoisytanh.py

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Python Source Code - 578 B -

Python script to plot tanh(t) contaminated by Gaussian noise, and the resulting numerical derivative.

plottanhbox.py

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Python Source Code - 1.2 KB -

Python script to plot the explanation for the quasi-differentiation method.

plottanh.py

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Python Source Code - 689 B -

Python script to plot tanh(t), its derivative, and its second derivative.

plottanhquasidiff.py

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Python Source Code - 720 B -

Python script computing and plotting the quasi-derivative of tanh(t), and comparing it to the analytical derivative of tanh(t).

QDDJIAdI1heatmap.py

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Python Source Code - 1.8 KB -

Python script to plot the heat map for the mean of DJI daily fractional return between 1 Jan 2003 and 31 Dec 2023, for window sizes between 20 and 250.

QDDJIAdI2heatmap.py

Sep 23, 2024 - Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems

Python Source Code - 1.8 KB -

Python script to plot the heat map for the variance of DJI daily fractional return between 1 Jan 2003 and 31 Dec 2023, for window sizes between 20 and 250.

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