Run the numbers the way you would for any other venture

Apply that same discipline to intraday trading and the picture that emerges is considerably more sober than the one presented in advertising — and considerably more useful.

Consider it, for a moment, as a business proposition.

The revenue model

In practice, day trading means opening and closing positions within the same session, taking no exposure overnight. Revenue comes entirely from short-term price movement captured across many small transactions.

The critical feature of this model is that it is not a growth business. Over a single session, price movement does not create economic value; it transfers it between participants. The gains of one trader are the losses of another, minus the costs both pay to intermediaries. Unlike a company selling a product into an expanding market, there is no underlying growth to carry an average performer.

That structural point is confirmed by the figure regulated providers must display: across the industry, roughly 70% to 80% of retail accounts using leveraged products lose money. In no other sector would a business plan survive a failure rate of that order without serious scrutiny of the assumptions.

The cost base

Costs in this business are per-transaction, and intraday activity multiplies them.

Every position crosses the spread twice, on entry and on exit. Fast-moving markets add slippage, the difference between the price displayed and the price received, which widens precisely when volatility is highest. Some instruments carry commission. Data feeds, charting software and hardware add fixed monthly overheads.

Here is the arithmetic that decides everything. A trader placing ten round trips a day, across roughly 250 trading days, executes 2,500 round trips a year. If each costs an average of £5 in spread and commission, the annual cost base is £12,500 before a single profitable decision. On a £25,000 account, the strategy must generate a 50% gross return simply to break even.

That is the break-even volume calculation, and it is the reason experienced practitioners obsess over execution costs while beginners obsess over entry signals.

The capital requirement

Two constraints bind simultaneously

The first is risk capital. Sound position sizing typically risks a small fraction of an account on any single idea, often cited as 1% or less. At that rate, an account needs to be large enough that a sensible position is still meaningful after costs — which is why undercapitalised traders are pushed towards excessive leverage, and why undercapitalisation is the most common route to rapid failure.

The second is living capital. Intraday trading produces irregular income with no floor. Any venture whose revenue can be negative for consecutive months needs a separate runway, exactly as a startup does. Using the trading account as the runway means being forced to take risk on a schedule dictated by rent rather than by opportunity, which inverts the entire logic of the activity.

The regulatory environment

In the UK, firms offering leveraged products to retail clients must be authorised by the Financial Conduct Authority. The rules include leverage limits by asset class, negative balance protection so that losses cannot exceed deposits, and mandatory risk disclosure in promotions.

These provisions exist because the regulator concluded the retail outcomes warranted intervention. Checking a provider on the public FCA register is elementary due diligence, comparable to verifying that a supplier is a real company before signing a contract.

The measurement problem

Most businesses fail slowly and visibly, through declining margins that show up in the accounts. This one fails invisibly, because the feedback is extraordinarily noisy.

A poor decision can produce a profit; a sound one can produce a loss. Over small samples, results carry almost no information about process quality. A run of twenty winning trades proves nothing, and neither does a run of twenty losses. Anyone who has managed a sales team through a volatile quarter recognises the problem: you cannot manage what you measure badly.

The professional answer is record keeping that captures the decision, not just the outcome. What was the thesis, what was the risk, what was the plan for being wrong, was the plan followed. Judged on that basis, process quality becomes measurable long before profit and loss becomes meaningful.

The verdict

None of this is an argument that the activity cannot be done. It is an argument that it should be assessed as a business with high fixed costs, negative-sum economics before fees, a poor base rate of survival and an unusually noisy feedback loop.

Assessed that way, the sensible entry route looks like any other prudent venture: small scale, honest accounts, capital you can afford to lose entirely, and a defined point at which you would conclude the model does not work and stop.

Capital is at risk. Leveraged products carry a high risk of rapid loss and are not suitable for everyone.