Advertising presents full-time trading as a natural replacement for a job: quit the office, free from traffic jams, trade from anywhere, be free by Friday, and the list goes on.
In a bull
market the pitch is convincing: when almost everything is rising, almost
everyone looks like a genius. Then the market changes. And the large majority
of those who took that path fail badly.
This article
works through the arithmetic behind the sales pitch, in two steps.
Step one was
established in Part 1 (the last article). Professional fund managers —
full-time, credentialed, with research teams and direct market access — rarely
beat a simple S&P 500 index fund over ten to twenty years. Across fifteen
years, roughly nine out of ten active US large-cap funds underperformed it. If
that is the record of full-time professionals, the promise made to a beginner
deserves real skepticism.
Step two is
this article’s subject. Suppose you are the exception, and genuinely hold
something better: a long-only system returning 16% a year, with a 25% maximum
drawdown and no leverage. Better than the index; better than most professional
funds ever achieve. Surely that is enough to quit?
Given a genuinely good system, what capital — and what
conditions — must actually be in place before you can live from it?
The intuitive
answer is to divide the income you need by 16%. In the stress test that
follows, the honest answer is three to four times larger.
That gap is not
a technicality. A system’s average return tells you how wealthy you might
eventually become; its drawdown decides whether you survive long enough to find
out.
None of this
is an argument against trading. It is an argument against quitting before the
numbers support it.
0. Setting Up the Exercise
This exercise
answers a concrete question: with a genuinely good long-only system (16%
CAGR, 25% max drawdown), how much money does an ordinary senior engineer need
before he can responsibly stop working — and how many years of saving does it
take to get there, starting
from nothing?
All figures are
rounded, US-based, and built on the assumptions below. They are
illustrative, not advice; change any input and the answer changes. This
version corrects an important omission flagged in review: a salaried job pays
far more than its cash salary once employer benefits are counted — and quitting
means self-funding all of them.
0.1 A critical caveat on
“long-only, 25% drawdown”
The whole model
assumes the system’s worst loss is 25%. For a long-only
system that only holds true if it has a trend or cash-conversion filter
that moves it to cash when the broad market breaks down. Without such a rule, a
long-only system in a secular bear market (2000–03, 2008, or 1973–74) does not
politely stop at −25% — it can draw down far deeper and stay there for years,
because it has no way to profit from or side-step the decline. Every number in
this paper depends on that filter working. A “16% / 25%” system with no exit to
cash is a different, more dangerous animal than the one modelled here.
1. Scenario 1 — Quit Now, Trade
Full-Time
The question:
what lump sum lets him quit today and live off the system, keeping the same
standard of living — including the benefits he used to get for free?
1.1 The naive answer (and why it’s
a trap)
His real cost
to replace is ~$105,900 (take-home + self-funded benefits). To net that
after ~28% short-term tax, he must earn about $147,000 gross in trading
profit. The tempting math is:
$147,000 ÷
16% = $919,000.
This is dangerously wrong. It assumes he earns
exactly 16% every single year. He won’t — and the years he doesn’t are the
years he still has to eat and pay for his own insurance.
1.2 The stress test that breaks the
naive number
Run the exact
worst case: he quits, immediately hits the 25% drawdown, and the market goes
flat for 3 years while he keeps withdrawing $147k/year to live.
Fig. 1 — Same shock, three starting capitals (benefits-adjusted). At $0.92M the account is gutted with no job to return to; at ~$2.94M it endures.
1.3 The honest answer
The Most Dangerous Moment
The riskiest
point is not when someone has no experience. It is when they have just enough
success to feel certain.
It usually
unfolds in five stages.
Stage 1 — A
bull market. They start trading, and the account performs well. Almost
everything is rising, so almost everyone looks skilled.
Stage 2 —
Confidence. The thought arrives: “Why am I working for someone else when I
can make more than my salary doing this?”
Stage 3 —
The salary becomes the enemy. The job stops looking like the thing
financing the experiment and starts looking like the obstacle to it.
Stage 4 —
Resignation. They quit — usually near the top of their confidence, which
tends to coincide with the top of the market.
Stage 5 —
Trading changes character. This is the critical shift.
Before
quitting, the question was: “Let’s see what my system can do.” After
quitting, it becomes: “This month’s trading has to pay my bills.”
Those are two
entirely different psychological and financial situations — and the system does
not know which one it is in.
2. Scenarios 2 — Keep the Job,
Drip-Feed the System
This is the
realistic path, and the good news. Running a finished weekly-rebalanced
system takes little daily time — easily compatible with a full-time job.
(Developing and validating a robust system is another matter entirely, and Part
3 is devoted to it.) So instead of quitting, he keeps his salary and its
benefits, invests a fixed slice of his net take-home into the system every
year, and lets it compound at 16% until it reaches the ~$2.94M “quit”
milestone. Then he can leave — and, if he likes, travel the world while the
system runs from a laptop.
To keep it
simple and conservative, we assume no salary increases ever (real raises
would speed everything up), and that contributions are made once a year and
compound at the system’s 16%. Because he keeps his job, his benefits are still
covered while he accumulates — another reason the drip-feed path is so much
safer than quitting.
2.1 How many years until he can
quit?
--------------------- Work on Progress - to be continued in the next two days -------------------
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