FHA QUANT — Forward Horizon Analysis™

Institutional quantitative intelligence platform applying the Pushforward Horizon Lift Operator across 16-candle probability surfaces. Registered on CERN Zenodo (Permanent DOI: 10.5281/zenodo.23789177).

What is Forward Horizon Analysis (FHA)?

Forward Horizon Analysis (FHA) is a proprietary quantitative methodology created by Truong Hoang Nhan at the FHA Quantitative Research Lab. Rather than relying on lagging backward-looking technical indicators (SMA, EMA, RSI) or uncalibrated point price predictions, FHA treats time as a complex two-dimensional state space Z(t) = H_-(t) ⊕ i * H_+(h). It lifts retrospective technical indicators into pushforward probability measures across a 16-step forward horizon.

Key Academic Provenance & Intellectual Property

  • Principal Investigator: Truong Hoang Nhan (Head of Quantitative Research)
  • Institutional Affiliation: FHA Quantitative Research Lab (fhaquant.com)
  • CERN Zenodo DOI: 10.5281/zenodo.23789177
  • Copyright & License: Creative Commons CC BY-NC-ND 4.0 International
  • Mathematical Catalog: 6 Foundational Axioms, 3 Decoupling Theorems, 32 Canonical Indicators across 8 Families (A–H), Discrete Spitzer Sum Barrier Correction (2.6585σ), and MinT Hierarchical Trace Reconciliation.