AHQAlphaHedgeQuant

[ AHQ : EDU — LEARNING HUB ]

Learn quantitative finance properly

From first principles to stochastic calculus — written by a practitioner who trades these models, not a content farm. Full articles publishing in phases.

beginner

What is quantitative trading?

Systematic vs discretionary, where edges come from, and why process beats prediction.

8 min · Foundations

beginner

Reading an option chain

Strikes, premiums, OI and IV — what each column actually tells you about positioning.

10 min · Derivatives

beginner

Candlesticks without the mythology

What price action genuinely encodes — and which patterns are statistical noise.

9 min · Technical

intermediate

Position sizing before everything

Why sizing decides survival: fixed fractional, volatility targeting and the Kelly criterion.

14 min · Risk

intermediate

Mean reversion vs momentum

The two families of edge, the regimes where each works, and how to detect which one you're in.

15 min · Quant

intermediate

Options Greeks in practice

Delta, Gamma, Theta, Vega — managed as a portfolio, not memorized as definitions.

18 min · Derivatives

intermediate

DCF valuation that holds up

Building a discounted cash flow model with real company numbers and honest assumptions.

20 min · Valuation

intermediate

Risk management frameworks

Stop losses, drawdown circuit breakers and exposure limits as a coherent system.

14 min · Risk

advanced

Cointegration & pairs trading

Engle-Granger and Johansen tests, half-life of mean reversion, and z-score execution.

24 min · Quant

advanced

The Black-Scholes model

The mathematics behind option pricing, its assumptions, and where they break in practice.

25 min · Quant

advanced

Monte Carlo simulations

Random sampling for portfolio returns, VaR and stress testing — with code-level intuition.

22 min · Quant

advanced

Factor investing & smart beta

Momentum, value, quality and low-volatility factors — building systematic exposure that works.

20 min · Quant

advanced

Regime detection with HMMs

Hidden Markov models for classifying market states and gating strategies accordingly.

26 min · Quant

advanced

Stochastic calculus for finance

Brownian motion, Ito's lemma, and the mathematical foundations of modern quant finance.

30 min · Quant