Blog

Discover our articles on portfolio optimization, wealth management and quantitative algorithms for advisors and fintechs.

Quantitative Finance

Backtesting: The 6 Biases That Kill Your Strategies in Production

Look-ahead, survivorship, snooping: how to identify and avoid the biases that make backtests overly optimistic.

2026-02-20
9 min
#Backtesting#Biases#Quant
Practical Advice

Build or Buy Your Investment Engine: The Technical Guide

Complete evaluation of build, buy, and hybrid options for technical teams at fintechs and asset managers.

2026-02-20
8 min
#Build vs Buy#Architecture#Fintech
Valuation

Company Valuation: Beyond Determinism, Integrating Risk

How to move from a point-estimate valuation to a probabilistic and robust approach that truly reflects strategic uncertainty.

2026-02-20
8 min
#Valuation#Risk#Scenarios
Valuation

EV/EBITDA and Comparable Multiples: A Professional How-To

How to select the right comparables, normalize metrics, and interpret EV/EBITDA multiples without falling into the classic traps.

2026-02-20
8 min
#EV/EBITDA#Comparables#Valuation
Risk Management

CVaR and Liquidity Risk: Beyond Classic VaR

Understanding Conditional Value at Risk (CVaR) and how to integrate liquidity risk into portfolio management.

2026-02-20
8 min
#CVaR#VaR#Liquidity
Valuation

DCF: Scenarios, Probabilities, and Margin of Error — Why a Single DCF Is Insufficient

How to build a robust DCF with probability-weighted scenarios, sensitivity analysis, and an explicit margin of error.

2026-02-20
8 min
#DCF#Valuation#Scenarios
Quantitative Finance

Factor Investing: Industrializing Alpha Without Unnecessary Complexity

Value, quality, momentum, low volatility: how to build robust and readable factor portfolios.

2026-02-20
9 min
#Factor Investing#Alpha#Value
AI & Finance

MLOps for Capital Markets: From Prototype to Reliable Model

How to industrialize AI models and move from proof of concept to durable business value in finance.

2026-02-20
9 min
#MLOps#Machine Learning#Capital Markets
Quantitative Finance

Portfolio Optimization with Markowitz: Between Theory and Practice

How to use Modern Portfolio Theory to build robust allocations and the limits you need to know.

2026-02-20
9 min
#Markowitz#Optimization#Portfolio
IT Infrastructure

Financial Pricing APIs: Reliability and Latency Above All

Architecture principles for delivering fast, reliable, and auditable financial computations at scale.

2026-02-20
8 min
#API#Pricing#Low Latency
IT Infrastructure

Quant Data Lakehouse Architecture: A Reliable Foundation

How to structure the data architecture of a quantitative platform to ensure reliability, reproducibility, and scalability.

2026-02-20
8 min
#Data Lakehouse#Architecture#Quant
Asset Management

Risk Parity: Finally, Real Diversification

Why diversification by risk contribution is often more robust than diversification by capital weight.

2026-02-20
9 min
#Risk Parity#Diversification#Allocation
Corporate Finance

WACC: The Rate That Decides Your Best (and Worst) Projects

Understanding the cost of capital to better arbitrate between growth, profitability, and value creation.

2026-02-20
8 min
#WACC#Cost of Capital#Investment
Practical Advice

Build vs. Buy: Should You Develop Your Own Financial Computation Engine in 2026?

Discover the hidden costs of building a quantitative engine in-house and why buying an API can accelerate your time-to-market from 18 months to a few days.

2025-11-17
8 min
#Build vs. Buy#Finance API#Financial Engine