Bitcoin & Macroeconomics: Correlation or Causation?
Empirical analysis of interactions between Bitcoin’s price and selected macro factors, distinguishing between observed correlation and interpretative causality.
HilmarCorp R&D — OLD Series
Public Research Notes
HilmarCorp publishes here a selection of research works conducted on digital asset markets. These documents aim to share the adopted methodological framework and to ensure transparency in selected studies.
Publication Framework and Intellectual Property
The materials available on this page (texts, code excerpts, methodologies, results) are the intellectual property of HilmarCorp and are released within a controlled dissemination framework. Any reuse or citation must include the full reference: “HilmarCorp R&D – Public Note”.
Certain strategic research areas (including emerging architectures and self-learning models) are not publicly disclosed and remain under restricted access.
Market Memory: First Sequential Experiments on Bitcoin
Exploratory study investigating the presence of temporal dependence in daily BTC data (2017–2025) using an LSTM model and non-sequential baselines. Positioned as an initial milestone before more advanced research on emergent structures.
HilmarCorp R&D — OLD Series