Constraint-Guaranteed Synthesis of OHLCV Data
Existing generative adversarial network (GAN) based approaches to financial time series synthesis produce univariate return series only. They provide no mechanism to enforce the geometric constraints that every valid bar must satisfy: the High must weakly exceed both the Open and the Close, and the Low must weakly fall...