Can You Make a Living From Automated Trading? The Honest Math

A full-time income in the United States lands, very roughly, between $3,000 and $5,000 a month after tax, depending on where you live and what you do. That is the bar. "Making a living" is not a feeling, it is a number you can miss, and any honest conversation about automated trading as an income has to start by putting a real one on the table.

So here is the arithmetic: what the backtest produced, why an average is not a salary, and the three things that decide whether trading could ever pay your rent.

What the backtest actually shows

Rentabilio is an automated system for NinjaTrader 8 that trades US index futures once a day, at 8:30 AM ET, with a stop and a target placed in the market at the instant of entry and the target set at twice the risk. It never holds a position overnight. Its published backtest runs day by day over more than seven years (88 months) on a $50,000 funded account trading one micro contract.

Over that period the simulation produced $274,406 gross, about $260,700 net after commissions and slippage. Spread across 88 months that is roughly $2,900 a month, or about $35,500 a year. The deepest peak-to-trough fall along the way was $4,379.

Set $2,900 a month against a living wage and the honest picture is already visible: on one account, one contract, in simulation, this is a supplement, not a salary. It covers a car payment and the groceries, not a full-time income by itself. The complete breakdown of that figure, including every cost that comes off the top, is in how much a trading bot actually makes.

Why an average is not a salary

This is where most of the damage happens. The $2,900 is an average across 88 months, and no single month made exactly that: some made far more, some made nothing, some lost money. A system that wins 46.2% of its trades, less than half, produces losing streaks as plain arithmetic, not a malfunction.

A salary is smooth. This is not. If you need $4,000 in your account on the first of every month, an average of $2,900 that arrives in lumps, sometimes as a loss, will not do that job on its own, however good the annual total looks. The gap between "averages enough" and "pays the bills on time" is the most underestimated fact in this subject, and a large part of why most traders lose even when the tool works exactly as designed.

An average tells you what a system did over years. A landlord asks what it did this month.

Scaling up: the lever that cuts both ways

If one contract on one account is a supplement, the obvious move is to trade more. That is real, and also the fastest way to turn a working system into a loss. Account size caps how many contracts you can run: a 50k account trades one micro contract, which is what the backtest models; a 100k allows up to two; a 250k up to five. In the model, doubling the contracts roughly doubles the profit line.

It also roughly doubles everything else. The same lever that lifts $2,900 toward $5,800 lifts the $4,379 drawdown toward roughly $8,800, and at five contracts toward roughly $21,900. Profit and pain scale together, at the same speed, in the same direction.

Those larger rows are straight-line extrapolations of the same edge, not separate backtests, and they assume you can sit through the drawdown in the right-hand column. Running several of your own funded accounts multiplies the result the same way, up or down, and the fees with it, as the guide to prop firm trading explains.

Evaluation fees: a cost that arrives whether you earn or not

There is one more number most income pitches leave out, and it is real cash. If you trade funded capital, you do not own the account, you rent the right to trade it by passing an evaluation, and evaluations cost money up front: roughly $100 for a 50k, $250 for a 100k, and $400 for a 250k.

You pay that whether the account goes on to make money or not. Funded accounts also have hard drawdown rules that close accounts, including ones a working system would have recovered, so you buy replacements: in the strongest 7-month stretch of the backtest the simulation ran through about seven 50k accounts, roughly $700 in fees, against a very good result. In a flat six months you would pay the same fees and receive nothing. It behaves like a salary running in the wrong direction, out of your pocket, on a schedule, earnings or no earnings.

The temperament question

Suppose the numbers work for you on paper. There is still the part no spreadsheet captures: whether you would actually leave the system running through a $4,379 drawdown, or through the larger one that comes with more contracts. Most people who fail with a functioning system fail right there, switching it off in the middle of an ordinary losing stretch, which locks in the losses and forfeits the recovery the backtest depended on.

An automated system removes the temptation to meddle trade by trade, which is its real value. It does not remove the temptation to pull the plug at the worst possible moment, and that decision, which most often stands between a good backtest and a good outcome, is yours. The honest treatment of the downside is in risk, and the mechanics of the drawdown in what drawdown is.

So, can you make a living from automated trading?

Honestly: on one 50k account trading one micro contract, in simulation, about $2,900 a month on average is a supplement, not a living. To approach a full income you have to scale contracts and accounts, which needs more capital, more evaluation fees up front, and the nerve to sit through a drawdown that grows as fast as the profit. It is possible in principle. It is never a salary, it is never smooth, and anyone selling it to you as either is not describing any real system.

The sober version is the useful one: start with a single account at the size the backtest used, prove you can live with the swings before you widen them, and read getting started before you fund anything. A system can make part of a living plausible; whether it makes a whole one is a question about your capital and your temperament, not the software.

Frequently asked questions

Can automated trading realistically replace a full-time job?

Not on a single small account, and not as a smooth monthly income. The backtest on this site averages about $2,900 a month net on one 50k account trading one micro contract, which is a supplement rather than a salary. Replacing a full income means scaling contracts and accounts, which requires more capital and a much larger drawdown tolerance, and even then the money arrives in lumps, not on a fixed payday. Treat it as variable business income, not a paycheck.

How much money do I need to start?

Less than people expect to begin, and more than they expect to do it comfortably. A single 50k evaluation costs roughly $100, plus platform and data costs and the system license, so the entry cost is modest; building toward a living means funding larger or multiple accounts and keeping enough cash in reserve to pay evaluation fees through flat stretches. There is a fuller breakdown in how much money you need.

Is $2,900 a month guaranteed?

No. It is a hypothetical average from a backtest over 88 months of historical data, and it includes losing months and flat months inside that average. Any individual month can land far above or far below it, and past performance, real or simulated, does not guarantee future results. Plan around the drawdown figure and the possibility of a barren quarter, not around the average.

Why not just trade more contracts to reach a living faster?

Because the drawdown scales at the same rate as the profit. Two contracts roughly double the monthly figure in the model and roughly double the $4,379 worst drawdown to about $8,800, and five push it past $21,000. More contracts do not make the system safer, they enlarge both outcomes, so scale only after you have proven on the tested size that you can sit through the swings.

Do evaluation fees really matter that much?

They matter because they are cash you pay in advance regardless of results. In a strong stretch they are a rounding error against the profit, but in a flat or losing stretch you keep paying them and receive nothing, which is exactly when they hurt. Anyone modeling automated trading as an income has to subtract them on a schedule, the way a business subtracts rent, profitable month or not.