Algorithmic & Quantitative Trading

Systematic strategy design, backtesting and live performance, risk management and validation, regime adaptation, execution and trading infrastructure across equities, futures and crypto.

Mega-Cap Dominance Fades as Market Breadth Returns to Equity Leadership

Alphabet's investment case now hinges on earnings delivery, cloud profitability, and AI monetization—not continued index concentration.

By KAPUALabs

/ 2 Aug 2026

Implied Volatility Forecasting: Model Discipline Beats Algorithm Novelty

Evidence from ARIMA, VARMA, and EWMA shows transparent baselines outperform stock-specific neural networks in implied volatility forecasting.

By KAPUALabs

/ 2 Aug 2026

Alphabet's Risk Landscape: A Quantitative Risk Management View

ATM equity, regulatory tail risks, and competitive fragmentation shape the risk profile for institutional investors.

By KAPUALabs

/ 4 Jul 2026

Alphabet's Risk Landscape: A Quantitative Risk Management View

The New Trading Rails: Algorithmic Markets and Crypto Infrastructure

How algorithmic trading, machine learning, and decentralized finance forge a new computational infrastructure for markets.

By KAPUALabs

/ 8 Jun 2026