Multi-Asset Cointegration & Mean-Reverting Basket Engineering
Multi-Asset Cointegration & Mean-Reverting Basket Engineering
$1,800
Mission
Teach discovery of multivariate relationships among three or more assets: cointegrating spaces, sparse baskets, and mean-reverting portfolios that can be defended statistically, temporally, and economically.
Vision
Researchers who extract small, interpretable baskets from a relationship space — not a pair spread, and not Granger–Lee strict multicointegration.
HARMONIA is Multi-Asset Cointegration & Mean-Reverting Basket Engineering.
The wordmark is harmony among many parts: a cointegrating space turned into a small basket. It does not mean Granger–Lee strict multicointegration (I(2) accumulations of equilibrium errors). That distinction is a special module.
The object is `X_t = (A_1, …, A_N)` and `z_t = w' X_t` — relationships that may not be visible pair-by-pair, turned into small baskets. It is not the retired TAC stages (cointegration · failure · relations). It is not Forex-as-identity. It is not the two-asset pair path.
Quantitative researchers, systematic traders, statistical-arbitrage developers, and financial engineers who already command bivariate cointegration (ARGOS or equivalent). Linear algebra, time series, ADF, and spread construction are assumed.
Not ARGOS (two-asset pairs). Not Granger–Lee. Not a five-name recipe. Lecture bodies are not authored yet.
Course content is Phase → Module → Chapter using HARMONIA's six phases (SYSTEM → DISCOVERY → PORTFOLIO → ECONOMICS → DYNAMICS → SCIENCE). Module numbers restart inside each phase. Granger–Lee is a special module, not in the 18. The capstone sits outside the six phases. Lecture bodies are not authored yet. Recommended prerequisite: ARGOS.

Elmer Niño
Founder, VTAlgo Group · Systems Engineer · MSc in Computer Science
Algorithmic trader since 2009, running trading as an enterprise. Methodology built on walk-forward analysis, genetic optimization, PCA against over-optimization, the Triple Barrier Method, and 9–12 month live validation before capital.
Cointegración multi-activo e ingeniería de baskets mean-reverting
Cointegración multi-activo e ingeniería de baskets mean-reverting
$1,800
Misión
Enseñar el descubrimiento de relaciones multivariadas entre tres o más activos: espacios cointegrantes, baskets ralos y portfolios mean-reverting que puedan defenderse estadística, temporal y económicamente.
Visión
Investigadores que extraen baskets pequeños e interpretables de un espacio de relaciones — no un spread de par, y no la multicointegración estricta de Granger–Lee.
HARMONIA es Cointegración multi-activo e ingeniería de baskets mean-reverting.
El wordmark es la armonía entre muchas partes: un espacio cointegrante convertido en un basket pequeño. No significa la multicointegración estricta de Granger–Lee (acumulaciones I(2) de errores de equilibrio). Esa distinción es un módulo especial.
El objeto es `X_t = (A_1, …, A_N)` y `z_t = w' X_t` — relaciones que pueden no ser visibles par a par, convertidas en baskets pequeños. No son las etapas retiradas de TAC (cointegration · failure · relations). No es Forex como identidad. No es el camino de pares de dos activos.
Quantitative researchers, traders sistemáticos, desarrolladores de statistical arbitrage e ingenieros financieros que ya dominan cointegración bivariada (ARGOS o equivalente). Se asumen álgebra lineal, series temporales, ADF y construcción de spreads.
No es ARGOS (pares de dos activos). No es Granger–Lee. No es una receta de cinco nombres. Los cuerpos de lección todavía no están escritos.
Course content is Phase → Module → Chapter using HARMONIA's six phases (SYSTEM → DISCOVERY → PORTFOLIO → ECONOMICS → DYNAMICS → SCIENCE). Module numbers restart inside each phase. Granger–Lee is a special module, not in the 18. The capstone sits outside the six phases. Lecture bodies are not authored yet. Recommended prerequisite: ARGOS.

Elmer Niño
Fundador, VTAlgo Group · Ingeniero de sistemas · MSc en Ciencias de la Computación
Trader algorítmico desde 2009, operando el trading como empresa. Metodología construida sobre walk-forward, optimización genética, PCA contra el sobreajuste, el Triple Barrier Method, y 9–12 meses de validación en vivo antes de capital.