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gretel-synthetics
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
Wondering if anyone has a favorite python library for generating synthetic price data? Ideally I'm looking for something that allows me to generate specific conditions like "bearish" "bullish" "choppy" "volatile" and so on, maybe even throw in some spikes to represent FED events, so my algo can experience a larger amount of out-of-dataset conditions. From what I've found so far, it seems like TimeGAN might be a good option.
There are some open-source options, the one that I'm most familiar with is https://github.com/ydataai/ydata-synthetic/ which comes with an UI and has TimeGAN as one option available.
you can try QuantGAN: https://github.com/PakAndrey/QuantGANforRisk also try DoppelGANger https://github.com/gretelai/gretel-synthetics/tree/master/src/gretel_synthetics/timeseries_dgan
you can try QuantGAN: https://github.com/PakAndrey/QuantGANforRisk also try DoppelGANger https://github.com/gretelai/gretel-synthetics/tree/master/src/gretel_synthetics/timeseries_dgan