Never traded options? Start here. Understand what options are and why traders use them.
3 articles · 25 minGenerate consistent income from your portfolio with covered calls, cash-secured puts, and spreads.
4 articles · 35 minUnderstand delta, theta, gamma, and vega — the four forces that drive every option's price.
2 articles · 18 minIron condors, straddles, calendar spreads — multi-leg strategies for range-bound markets.
3 articles · 40 minCalls, puts, strike prices, expiration dates — everything you need to understand before placing your first options trade.
The four numbers that tell you everything about how an option will behave — and why every serious trader must understand them.
Strike prices, bid/ask spreads, open interest, implied volatility — decode every column in an options chain.
Sell calls against stock you own and collect premium every month. The most popular options income strategy, explained step by step.
How to construct a four-leg spread that profits when the market stays range-bound — and how to manage it when it doesn't.
Sell put options on stocks you'd be happy to own at a lower price — and pocket premium while you wait.
Defined-risk directional trades that cap both your profit and your loss — ideal for volatile markets.
Who are quants, what do they build, and why does understanding their thinking make you a sharper options trader? Answered without the jargon.
The statistical concepts every options trader needs — probability distributions, expected value, fat tails, and how they directly shape your trade decisions.
Random walks, Brownian motion, and the efficient market hypothesis — what market randomness actually tells you about where the real trading edge lives.
Everything an options trader needs to know about volatility — how it's measured, forecast with GARCH, and structured across the full vol surface.
Log returns, skewness, fat tails, rolling correlation, and market regime detection — the data analysis layer behind professional options trading.
Kelly Criterion, fixed-fractional sizing, hedging schemes, and pre-set drawdown rules — the risk management framework that determines whether a good strategy survives long enough to pay off.
Diversification, the efficient frontier, Sharpe ratio, beta, and alpha — the Modern Portfolio Theory framework applied to building an options book that maximizes return per unit of risk.
Three VaR methods, why VaR fails for options portfolios, CVaR as the honest tail-risk measure, and a practical stress-testing framework for premium sellers.
Interactive P&L profiles for all 15 major options strategies — select any strategy to visualize its risk/reward at expiry.
Delta, Gamma, Theta, Vega, and Rho — what each Greek measures, typical ranges, and how to use them for high-probability trade selection.
Black-Scholes, Binomial, Monte Carlo, Heston, and GARCH — the five models that power modern options pricing, with clear explanations of when to use each.
Pattern recognition, adaptive learning, sentiment analysis, and strategy optimization — eight ways AI takes quant trading beyond classical models.
OptionEdge AI doesn't execute trades — your broker does that. What it does is far harder: a state-of-the-art AI model scores thousands of options setups every day, fires real-time alerts the moment a setup triggers, sends a weekly AI-curated newsletter, and gives you deep analytics on Greeks, IV rank, and unusual flow — so every trade you place is informed, not instinct.