Articles for people who would rather understand than guess
Three longer reads written for Worthamence clients: the mistakes traders make before they know they are making them, what actually separates manual from automated trading, and the psychology that quietly runs both. None of them contains a secret; all of them contain things that are easier to read now than to learn expensively later.
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Common trading mistakes, and how to stop making them
Most trading mistakes are not exotic. They are ordinary human habits, applied at the worst possible moments, with money attached. The first is trading without a plan: entering positions because a screen looked exciting, then improvising an exit. A plan is boring by design, because its job is to be followable at 2am, and it answers three questions before any trade exists: what would make me enter, what would make me exit at a loss, and what would make me take profit. Traders with written answers for those three questions lose money sometimes; traders without them lose money systematically.
The second mistake is position sizing as an afterthought. Risk per position should be a small, fixed fraction of capital, chosen so that a streak of being wrong is survivable, because streaks of being wrong are a feature of markets, not a sign you were cursed. The trader who risks a tenth of the account on one idea has converted a single mistake into a structural problem; the trader who risks one or two percent has converted a mistake into a data point.
The third is averaging down on a losing position: adding to something because it is cheaper, without asking whether the original reason still stands. Sometimes it genuinely is a bargain; more often it is hope wearing a spreadsheet. The cure is a rule set in advance about what would justify adding, written while calm, checked while not.
The fourth is ignoring costs. Commissions, spreads and conversion fees compound the way returns do, and a strategy that looks marginally profitable on paper can be reliably unprofitable after real costs. The confirmation screen's numbers are the real ones; treat every back-of-envelope calculation as a hypothesis until then. The fifth mistake is the quietest: not keeping records. Without a record of entries, exits and reasoning, every month restarts your education from zero, which is the most expensive subscription nobody sells you.
Manual trading versus automated trading
Manual trading means you decide each entry and exit yourself, watching markets, reading news and pressing the buttons. Automated trading means a system you configured executes a defined strategy on your behalf, continuously and mechanically. Neither is a personality type, and the choice between them is less about sophistication than about where your weaknesses actually are.
The honest case for manual trading is engagement: you learn how markets actually behave by being responsible for decisions, you can adapt instantly to context a model does not see, and no system understands your tax position like you do. The honest case against it is everything else about being human: fatigue, hesitation, revenge trading after a loss, conviction after a win, and the simple impossibility of watching Australian and global markets continuously while holding a job. Most manual traders lose not because markets are unreadable but because executing a plan consistently, at scale, for months, is genuinely hard for a primate with a phone.
Automation's strengths are the exact mirror of those weaknesses. It follows its rules identically at 3am and at lunch, has no mood to manage and no story to defend, and it watches everything all the time, which is the entire point of strategies that hunt short-lived micro-trends. Its weakness is the mirror too: it follows its rules identically, including into conditions its rules misread, which is why serious automation is built with brakes, such as volatility guards that stand strategies down when markets turn disorderly, and why the scope of what a system may do is agreed with a human before it may do anything.
The practical conclusion for most people is a hybrid stance with clear boundaries: automation for execution and watching, humans for goals and judgment. You decide how much capital, what risk, what instruments; the system enforces those decisions consistently; and a manager provides the human continuity that neither the code nor the market will. Used that way, automation is not a replacement for discipline but a way of renting discipline at scale, which is precisely what many disciplined people still find worth renting.
The psychology of trading, told plainly
Trading psychology is not a soft subject; it is the study of how normal mental machinery performs in an environment engineered to mislead it. Loss aversion is the foundation: losing a dollar hurts roughly twice as much as gaining one feels good, so people cut winning positions early to lock in the good feeling and hold losing positions to avoid realising the bad one. That single asymmetry, repeated across thousands of accounts, produces the classic pattern of small wins and large losses, and no amount of intelligence cancels it, because it operates below the level where intelligence lives.
The second force is recency: the most recent outcome feels like the trend. Three good weeks convince a trader they have cracked it, leading to larger positions just as conditions change; three bad weeks convince them the system is broken, leading to abandonment just as it reverts. The cure is deliberately widening the frame: judging decisions by the reasoning available at the time, not the outcome that followed, and judging strategies over periods longer than a mood cycle, which is what monthly reports are actually for.
The third force is story. Markets generate narrative constantly, and narratives arrive confident, simple and already priced. The dangerous ones flatter the listener: that a technology cannot fail, that a trend is different this time, that everyone else knows something you must chase. Treating every story as a hypothesis with a price attached, rather than information, is most of what scepticism means in this context.
What actually helps is structure, honestly applied. Written plans, because they are contracts with a calmer version of yourself. Fixed risk per position, because it caps the damage any single mood can do. Regular but limited checking, because both obsession and avoidance are symptoms of the same loss of control. And a second voice, human and disinterested, which is a large part of what a personal manager is for at Worthamence: not to feel your feelings for you, but to keep the plan you agreed when calm in charge of the account when you are not. Trading well is mostly not being brave; it is being arranged.