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Most avoidable losses come from a short list of mistakes. The first is position sizing that ignores the worst case: an account where one position can end the story has a strategy problem regardless of how good the idea was. Size positions so that the loss you would take if the trade fails is an amount you shrugged at when you set it.

The second is trading without a plan, where entries are impulses and exits are emotions. A plan can be three lines long: what you buy, when you exit at a loss, when you exit at a profit. The discipline is not the writing; it is having written it before the position opened, when judgement is calm.

The third is averaging down, adding to a losing position to lower the average entry. Occasionally it works, which is exactly why it is dangerous: it converts a defined loss into a larger, undefined one on the hope of a recovery that the market owes nobody.

The fourth is ignoring costs. Commissions and spreads are small per trade and relentless in total; a strategy that trades frequently pays for the privilege, and its reports should show whether the activity earned its keep. The Fees page shows every cost the platform charges, and the audit history shows how often strategies actually traded.

The fifth is confusing a bull market with skill. Rising tides lift careless accounts too, and the lesson arrives only when the tide turns. Reviewing results across both calm and rough periods, monthly reports make this easy, is the cheapest education in trading.

The habits that prevent all five are unglamorous: size small, write the plan, keep records, count costs, review regularly. None of them requires talent; all of them require deciding once and letting the routine carry you.

Manual trading means you find the opportunities, decide the entries and exits, and place every order yourself. Its strength is judgement: you can read context, weigh news and decline a trade that looks statistically fine but feels wrong. Its weakness is you: evenings off, holidays, sleep, fatigue, and the emotions that accumulate over a long session.

Automated trading executes a defined set of rules, continuously and without sentiment. Its strengths are the mirror of manual's weaknesses: it watches around the clock, never gets bored, never revenges a loss, and never buys because a headline was exciting at midnight. It follows the strategy you configured, whatever the mood of the market.

Its weaknesses are equally real. Rules do not read the room; a model responds to the conditions it was built to measure, after they occur, not to the meaning of a news event. Automation also concentrates risk in its settings: an incorrectly configured strategy applies its error consistently, which is why reviewing settings, and starting conservative, matters more than with manual trades.

The practical comparison for most people comes down to time and temperament. If you have the hours, the appetite for study and the discipline to log every decision, manual trading teaches things no report can. If you have a job, a family or simply no wish to watch charts, automation does the watching for a defined slice of your capital.

The two are not enemies. Many experienced users automate the routine part of their approach and keep a manual eye on the whole; the platform supports both, with the settings and audit trail making the automated part inspectable. Whichever you choose, the risk page's warning applies identically: neither method guarantees profit, and both can lose money.

Two people can run the same strategy with the same settings and have opposite experiences, because psychology sits between the plan and the execution. Fear and greed are the famous pair, but the more consequential emotions are subtler: the discomfort of an open loss, the restlessness of a flat week, the confidence of a winning streak.

Loss aversion makes an open loss feel twice as heavy as an equivalent gain feels good, which pushes people to close winners early and nurse losers indefinitely. The cure is mechanical: set the exit before the entry, and let the platform's settings hold the line your feelings want to move.

Recency bias makes the last few days feel like the new normal. After a strong week, risk feels safer than it is; after a bad one, danger feels certain. This is why reports matter more than memories: a monthly summary of what strategies did is an antidote to what the last twenty-four hours did to your nerves.

Overconfidence compounds quietly. A streak of wins feels like skill accumulating, though in a random-enough process it proves little, and it licenses larger sizes exactly when discipline should hold. The veteran habit is the opposite: after a strong run, re-read the plan rather than raise the stakes.

The practical toolkit is short. Decide your risk tolerance once, in writing, when nothing is at stake. Automate what can be automated so execution does not depend on your mood. Keep records and read them. Take breaks after big moves, up or down, because no decision made in the first hour after a surprise is your best one. And if trading starts occupying your mind rent-free, that is information too: smaller sizes or a period away are strategies, not failures.

Psychology is why the platform puts so much emphasis on plain reports, adjustable settings and a personal manager who reviews them with you. Structure is the environment in which good decisions survive; these articles exist to help you build it before you need it.