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Stochastic Processes
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Data Generative Process
1 min readHow to implement an ARIMA in Python
Learn how to implement an ARIMA model in Python using the statsmodels library by defining model parameters, fitting the model, and making predictions with the fitted model.
4/1/2023Read More
Stochastic Processes
1 min readHow to do a stochastic process in Python
Stochastic processes in Python can be modeled using Numpy or Scipy libraries by generating random numbers, defining the process parameters, simulating the process by iterating through the equations, and plotting the results using Matplotlib.
3/31/2023Read More
Brownian Motion
1 min readHow to do a geometric Brownian motion in Python
Learn how to predict stock price using Geometric Brownian Motion (GBM) process by updating the stock price over multiple time steps using randomly generated normal variables and the mean return and standard deviation of the stock's returns
3/30/2023Read More
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