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Backtesting algorithms on Random Walk Process

Hi!

I would like to test my algorithms on a self-generated Geometric Brownian Motion process.

Is there any way to enter a self generated dataset (from a CSV for example), and backtest the algorithms on that dataset?
Or is it possible to generate a GBM in the IDE and then use that as a backtest data? (Let's assume that volume is not a factor, the program can trade any time)

I entered a GBM dataset from a CSV with fetcher, but I could not manage to use that as a dataset to backtest the algorithm on it.

Thank you in advance!

Dan