This presentation introduces an ongoing practice‑led PhD investigation into the public and obscured dynamics of financial transactions, market microstructures, and algorithm‑driven trading, reimagined as immersive audiovisual XR architectures. A modular system processes real‑time multivariate data from cryptocurrency exchanges, translating market depth, liquidity imbalances, and volatility signatures into dynamic visual and sonic forms—including graphs, crowd simulations, spatial sound fields, and high‑fidelity natural‑element simulations such as fire, smoke, clouds, and terrain. By integrating LFT (long‑term structural trends), MFT (behavioural and cyclical patterns), and HFT (millisecond‑level micro‑events), the work exposes how different temporal regimes shape the perceptual and affective experience of contemporary algorithmic markets.
Related publication:
Bridging Immersive Analytics and Affect: Audiovisual XR Sceneries of Financial Transactions https://dl.acm.org/doi/full/10.1145/3769534.3769599
Jānis Garančs - Artist Visiting Researcher at Aalto Studios Doctoral Candidate at Riga Technical University