Cited resources

Journal Articles:
Spence, M. (1973). Job Market Signaling. Quarterly Journal of Economics, v.87, n.3, 355-374. https://www.jstor.org/stable/1882010?seq=1​
Kahneman, D. (1973). Attention and effort (Vol. 1063). Englewood Cliffs, NJ: Prentice-Hall.
Malkiel, B. G., & Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The journal of Finance, 25(2), 383-417. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1540-6261.1970.tb00518.x​
Grossman, S. J., & Stiglitz, J. E. (1980). On the impossibility of informationally efficient markets. The American economic review, 70(3), 393-408. https://www.jstor.org/stable/1805228?seq=1​
Jensen, M. C., & Meckling, W. H. (1979). Theory of the firm: Managerial behavior, agency costs, and ownership structure. In Economics social institutions (pp. 163-231). Springer, Dordrecht. https://link.springer.com/chapter/10.1007/978-94-009-9257-3_8​
Merton, R. C. (1987). A simple model of capital market equilibrium with incomplete information. The journal of finance, 42(3), 483-510. https://onlinelibrary.wiley.com/doi/full/10.1111/j.1540-6261.1987.tb04565.x​
Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, Volume 33, 3-56. https://www.sciencedirect.com/science/article/abs/pii/0304405X93900235​
Staff, WikiHow (2006). How to dial a rotary phone. WikiHow. https://www.wikihow.com/Dial-a-Rotary-Phone​
Hirshleifer, D., & Shumway, T. (2003) Good Day Sunshine: Stock Returns and the Weather. The Journal of Finance, Volume 58(3), 1009-1032 https://www.jstor.org/stable/3094570?seq=1​
Resources for Python Users: Packages, modules, etc:
Anaconda - https://www.anaconda.com/products/individual​
Scikit-Learn - https://scikit-learn.org/stable/index.html​
Numpy - https://numpy.org/https://numpy.org/​
Pandas - https://pandas.pydata.org/pandas-docs/stable/index.html​
XGBoost - https://xgboost.readthedocs.io/en/latest/​
Scikit-Neural Network - https://scikit-neuralnetwork.readthedocs.io/en/latest/​
Feather File Format - https://arrow.apache.org/docs/python/feather.html​
Google Colab - https://colab.research.google.com/​
Numerox - https://github.com/numerai/numerox​
Example Scripts - https://github.com/numerai/example-scripts​
Compute - https://github.com/numerai/numerai-cli​
NumerAPI - https://numerapi.readthedocs.io/en/stable/​
MLJAR - https://mljar.com/automl/​
Resources for R Users: Packages, misc:
R - https://cran.r-project.org/​
Caret - https://cran.r-project.org/web/packages/caret/​
Feather - https://cran.r-project.org/web/packages/feather/index.html​
Tidyr - https://cran.r-project.org/web/packages/tidyr/​
XGBoost - https://cran.r-project.org/web/packages/xgboost/​
R-Numerai - https://cran.r-project.org/web/packages/Rnumerai/index.html​

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