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Learn the fundamental principles of risk management that separate successful traders from the rest. These time-tested strategies will help protect your capital and ensure long-term trading success.
A retirement-account trade deserves a stricter pre-trade test than a small taxable-account purchase funded by new savings. This article lays out how to assess loss capacity, concentration risk, likely drawdown, spread cost and exit liquidity before deciding whether a trade belongs in a retirement portfolio.
Covered-call sellers often compare strikes by premium collected, while the harder question is what the trade costs to close or roll. This piece treats covered-call income as an execution problem first: liquidity, spread width, contract size and portfolio concentration should shape strike selection before quoted yield does.
The quote visible before a Fed announcement is the easy-case execution price, not necessarily the price available after the headline. A practical pre-trade plan models both normal liquidity and stressed headline liquidity, then sizes the order against the worse case.
AI headlines can look like single-stock catalysts, but they may also change sentiment toward a wider AI-capex basket already present through ETFs and mega-cap holdings. The pre-trade problem is to measure shared exposure, correlation risk, and exit cost before adding another AI-linked position.
A broad selloff can make a new buy-the-dip order or hedge look separate from the rest of the account when it is really another version of the same exposure. Before placing the trade, the practical question is how the order changes factor exposure, sector overlap, liquidity, and portfolio drawdown if the market keeps moving the wrong way.
A listed stock used as an AI proxy is rarely a clean expression of the AI story that prompted the trade. Before sizing the order, the proxy needs the same pre-trade analysis as any basis-risk position: what it actually owns, how it might diverge from the intended theme, and what the exit could cost.