NeoQuant

Evidence-first quantitative research

Signal generation

Transform features into signals without hiding timing assumptions.

Transform features into signals without hiding timing assumptions.

Learning outcome: State exactly when a signal is known and when it can be traded.

Practice task: Move a close-based signal to the next executable market event.

Specialist context: ledger.