Articles, blog posts, and series to level up your trading decisions.
Structured multi-article series built around a consistent framework.
A good-looking idea is not enough to justify a trade. This guide explains the practical conditions that make standing aside the correct decision, including unclear setups, poor liquidity, wide spreads, unstable pricing, event risk, oversized loss, missing plans, and impaired judgement.
Open seriesA practical guide to building and managing options trades in the right order: define the payoff and operational obligations first, choose the contract family, expiry, and strikes, then write the entry, exit, adjustment, and no action rules before the trade is placed. The article explains why settlement style, exercise style, contract size, liquidity, and expiry processing matter as much as the market view, and shows how rule based management can reduce improvisation and rule drift.
Open seriesR multiple expresses profit or loss in units of the trade's initial risk. It matters because it makes results easier to compare across trades with different prices and sizes.
Open definitionSlippage is the difference between the intended trade price and the actual execution price. It becomes important when markets move quickly or liquidity is limited.
Open definitionA stop-limit order becomes a limit order once the stop price is reached. It offers more price control than a stop order, but it may not execute.
Open definitionTrading is the repeated process of making buy or sell decisions in financial markets under uncertainty using defined rules for entry, risk, exit, and review.
Open definitionA cash account uses the trader’s own funds, while a margin account can involve borrowed funds and leveraged exposure. The article uses this distinction to explain why equity, margin and safe size should not be confused.
Open definitionStop distance is the gap between the planned entry price and the stop price. It defines the expected loss per unit used in the position sizing calculation.
Open definitionLiquidity in listed options is not just about whether a contract trades. It is about whether you can enter, adjust, and exit near a fair price, in useful size, without giving away too much in spread or slippage. This guide walks through a practical liquidity-first process: start with the live quote, convert the spread into cash, separate volume from open interest, check depth and time of day, choose an order type that matches the book, and plan the exit before the entry.
Read postOptions Greeks make more sense when you treat them as exposures rather than abstract maths. Delta, gamma, theta and vega describe how an option or options position responds to small changes in price, time and implied volatility. Read that way, they become practical tools for sizing, aggregation, scenario checks and adjustment decisions, while also helping you avoid common misreads such as per share versus per contract displays or stale last-trade prices.
Read postA practical options playbook works best as a repeatable weekly process. Start with the contract terms, convert premium into cash, check what exercise or assignment could create, reject poor liquidity, match expiry to the holding period, use implied volatility as a strategy filter, choose from a small set of defined structures, and write exit rules before entry.
Read postA practical guide to how option premiums split into intrinsic and extrinsic value, why time value falls as expiry approaches, and how implied volatility and event risk can change premiums even when the underlying barely moves.
Read postA practical guide to putting loss control before return in trading, covering maximum acceptable loss, position sizing, drawdown, leverage, correlation, event risk, and why account survival comes before profit targets.
Read postA practical guide to how listed options work across US equities and ETFs, equity indices, and futures, with a focus on what gets delivered or settled, which contract terms matter, how trading hours and expiry calendars differ, how clearing and margin frameworks change by product, and why liquidity can look very different across seemingly similar options.
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