QuantSmith
A spec-driven toolkit for quant research and model development, built around reproducibility, quality gates, and traceable decisions.
Quantitative research / Data science
I’m Josh, a quantitative researcher with a decade of experience working across financial markets, optimization, machine learning, and AI. I focus on the path from a useful question to a result that can be checked and acted on.
A model is one part of the system.
A spec-driven toolkit for quant research and model development, built around reproducibility, quality gates, and traceable decisions.
Deterministic checks that catch economically inconsistent financial data and produce diagnostics people and automation can inspect.
A multi-source economic data pipeline that prepares point-in-time macro features for research, dashboards, and downstream models.
A quantitative research platform spanning portfolio optimization, alpha signals, risk, transaction costs, and backtesting.
A generated public subset of a macro terminal covering rates, inflation, credit, policy, and market analysis; some private-upstream modules are excluded.
I tested more than three decades of VIX forecasts against what the S&P 500 actually did. The VIX predicts volatility, overstates the usual move, and offers almost no directional edge.
Open-weight AI can lower model costs while leaving buyers dependent on concentrated compute and deployment infrastructure.
Alpha without perfect forecasts gets very real when the market is China, Asia, policy risk, FX risk, and supply-chain chess.