Articles / Reading list

Articles on trading and investing

Three short, practical reads written for people using the platform: the mistakes that catch most new investors, what changes when analysis is automated, and why your own behaviour often matters more than the market's.

Article 01 / Discipline

Five mistakes new investors make in their first month

Most first-month losses have less to do with the market and more to do with behaviour under new conditions. The good news is that every one of these mistakes is visible in advance, and your dashboard records enough history for you to catch yourself making them.

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Article 02 / Method

Manual watching versus assisted analysis

Sitting over charts for hours and letting an engine sort the same data produce very different days. This piece compares the two approaches honestly, including what automation cannot do for you.

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Five mistakes new investors make in their first month

Article 01 / Discipline

The first mistake is depositing more than you can afford to lose. Every decision that follows is distorted when the money matters too much: positions are closed too early, losses are held too long, and the plan gets rewritten on every red day. A £250 start on the Basic plan is not a marketing number; it is an amount most households can genuinely put at risk without changing their week.

The second is trading before reading. The dashboard shows a reasoning trail for every signal, and skipping it means you inherit conclusions you cannot defend. Ten minutes reading why an alert fired teaches you the platform's logic; acting on alerts alone teaches you nothing and leaves you exposed on the day the signal is wrong.

Third is ignoring the fee arithmetic. A 0.5% trading fee sounds small until a busy month of small positions multiplies it. New investors who check the fee page after their first month are usually surprised, in both directions, and the ones who model costs before trading make calmer sizing decisions from the start.

Fourth is treating a losing streak as a problem with the tool. Markets move in stretches, and a strategy can be working as designed through a drawdown. The question after a bad week is whether you followed your own rules, not whether the AI should have known better; your logged decisions make that review possible.

The fifth mistake is not asking for help early. Your adviser's monthly call is included in every plan, and questions cost nothing. The investors who do best in their first year are, in our experience, the ones who rang with a small question in week two rather than a large problem in month six.

Manual watching versus assisted analysis

Article 02 / Method

Manual watching means you, a chair and a screen: refreshing prices, drawing levels, reading news. Its strength is that understanding is earned, line by line, and your instinct for an asset becomes personal. Its weakness is hours. Most people with a job can give markets an evening at most, and crypto does not pause for UK office hours.

Assisted analysis flips the division of labour. The engine watches continuously, compares the current tape against historical patterns and writes up the session in summary form. You spend your evening reading a page instead of assembling it, which means you arrive at decisions with more context in less time, and with the reasoning trail available when you want to dig into a single signal.

What the engine cannot do is want anything on your behalf. It does not know that this money is earmarked for a house deposit, or that you promised yourself a stop-loss at 15%. Assisted analysis works best when you bring the constraints and it brings the observations; the moment you let a summary quietly become an instruction, you have an autonomous bot with extra steps.

The honest comparison is therefore not manual or assisted, but where each earns its place. Learning what a candle pattern looks like is done fastest by hand. Sustaining a watch across months of markets without burnout is done by machine. Most of our long-term users do both: a little manual work to stay sharp, and the assisted readout to stay sane.

The psychology of holding and selling

Article 03 / Psychology

Selling is the harder half of investing, and everyone knows the feeling: the position is down, the story has not changed, and closing it would turn a paper loss into a real one. Behavioural finance calls this loss aversion, and its pull is strong enough that many investors would rather ride to zero than book the regret.

The countermeasure that actually works is deciding before you need to decide. A stop level written when you open a position, at a moment when you are calm and unattached, is a better decision than the one you will make at 23:40 watching a red candle. Alert levels in the platform exist partly for this reason: they move the moment of judgement from the worst possible hour to a scheduled, sober one.

Symmetric discipline applies to winners. There is a particular pain in selling a winner that keeps winning, and it drives the opposite error of doubling exposure into strength until a normal pullback wipes the gains. A written plan for taking profit, such as the scheduled withdrawals some of our long-term users run monthly, converts that emotion into arithmetic.

None of this removes risk, and no process makes losing positions pleasant. What a written process does is make your month reviewable: the dashboard's decision log shows what you decided and when, so the question after a drawdown becomes "did I follow my rules", which has an answer, rather than "was I right", which only has a mood. Over a year, that difference compounds faster than most market calls.

Related reading: the crypto basics page explains volatility and market structure without jargon, and the risk disclosure sets out the risk types named above in full. Articles are general commentary, not personal investment advice, and trading involves risk including the loss of your capital.