Quantitative systems Artificial intelligence Complex systems
Modelling markets.Learning worlds.
Spring Fall Technologies is a London-based research and technology company working across quantitative trading, artificial intelligence and the science of complex dynamical systems.
01 / Quantitative Systems
Research, infrastructure and execution for complex markets.
We research liquid global markets and build proprietary quantitative systems spanning high-frequency and multi-timescale trading. Our work combines mathematical modelling, statistical learning and dedicated research infrastructure.
02 / Research
From financial dynamics to machine intelligence.
Spring Fall Research explores systems that learn, adapt and evolve. Current and planned research spans quantitative finance, econophysics and frontier artificial intelligence, with emphasis on rigorous empirical evaluation.
Artificial Intelligence
Large language models, multimodal intelligence and learning systems, including reasoning, agents and reliable model evaluation.
World Models
Research into learned representations of dynamic environments and predictive systems across digital, physical and scientific domains.
Econophysics
Statistical-physics-inspired research into financial markets and other complex adaptive systems.
Financial Research
Quantitative finance, empirical market research, complex systems and systematic strategy research across multiple timescales.
03 / LHC Model
A computational framework for complex market dynamics.
From market microstructure to emergent dynamics across multiple scales.
LHC is an internal research framework for studying complex market behaviour across multiple scales. Public descriptions intentionally omit implementation details, model structure, features, data specifications and operational methodology.
04 / Contact