Ed Seykota: bet size matters more than your entry
Most traders meet Ed Seykota through one number: a client account that started at $5,000 and ended up worth many millions. That number is the least useful thing about him. The useful thing is a short technical article he co-wrote in 1993, in which he argues that the dial almost nobody adjusts — how much you risk per trade — matters more than the dial everybody obsesses over, which is when to enter.
KEY TAKEAWAYS
- His first real trade lost money twice. He was right about the silver fundamentals and still got stopped out — the education that pushed him from opinions to tested systems.
- The famous number has fine print. $5,000 in 1972 to over 250,000% cash-on-cash by mid-1988 is one client account, reported by his interviewer, and held down by withdrawals along the way. It is not an audited fund record.
- He put bet size above entries in print. Seykota & Druz, 1993: setting the heat level is "far and away more important than fiddling with trade timing parameters".
- Returns scale with bet size; drawdowns scale with its square. Going from 1% to 5% risk per trade multiplies expected return by about 5 — and drawdown by about 25.
- The most-quoted "Seykota" line is not his. "Old traders and bold traders" traces to a 1931 aviation adage and reached print for traders in 1982, before his interview.
Who is Ed Seykota?
Edward Arthur Seykota was born on 7 August 1946 and spent part of his youth in the Netherlands, attending high school near The Hague. He took two bachelor's degrees at MIT in 1969 — electrical engineering, and management from the Sloan School. That combination is the whole story of what he did next.
In 1970 he was working at a brokerage house alongside another young analyst named Michael Marcus, who would later credit Seykota as the man who taught him to trade. Seykota had read a letter by Richard Donchian arguing that a purely mechanical trend-following rule could beat the market. An engineer's response to a claim like that is not to argue about it — it is to test it. So he wrote programs, fed them punched cards, ran them on an IBM mainframe, and found that Donchian's claim held up. The rules he tested were built on exponential moving averages.
Out of that work came what is generally described as the first commercial computerised trading system for managing client money in the futures markets. He later left to run accounts independently, working for years from Incline Village on the north shore of Lake Tahoe before moving to Texas. In 1992 he began gathering traders to work on the emotional side of the job; that grew into the Trading Tribe and the book The Trading Tribe (2005).
What did his first trade actually teach him?
In the late 1960s, before any of the systems work, Seykota reasoned that silver had to rise once the US Treasury stopped selling it. The logic was clean, and he opened a commodity margin account to act on it. While he waited for his entry, his broker talked him into shorting some copper on the side — and he was stopped out at a loss. Then he put the silver trade on. Silver fell. It seemed impossible to him that a market could fall on news that bullish, but the price was the price, and his stop was hit.
So his first serious market opinion was arguably right about the world and still cost him money twice. That is not a story about being wrong. It is the gap between having a reason and having a position that survives — and it is why a man with a strong fundamental view spent the next fifty years building rules that do not require him to have one.
The elements of good trading are: (1) cutting losses, (2) cutting losses, and (3) cutting losses. If you can follow these three rules, you may have a chance.Ed Seykota — interviewed in Jack D. Schwager, Market Wizards (1989)
How big was the $5,000 account really?
Schwager's report is specific, and worth quoting precisely rather than rounding into legend: as of mid-1988, one client account that Seykota had started trading with $5,000 in 1972 was up over 250,000% on a cash-on-cash basis. Schwager adds that normalised for withdrawals the figure would be far higher, because the client had been taking money out along the way.
Three pieces of fine print belong with that number, and we print them because this section prints the record:
It is one account, not a fund. There is no audited multi-decade track record in the public domain to check it against. It is a figure reported by his interviewer in 1989.
Cash-on-cash is a different measurement. The client withdrew money along the way, so a percentage measured against cash actually put in is not comparable to a fund's compound return.
Sixteen years is the horizon. 1972 to mid-1988. Any retelling that implies this happened quickly is describing something other than what Schwager wrote.
None of this makes the record less impressive. It makes it checkable, which is more useful.
What is portfolio heat, and why did Seykota rank it above entries?
In March 1993, Seykota and Dave Druz published a three-page article in Technical Analysis of Stocks & Commodities called "Determining Optimal Risk". It is not famous, and it is the most practically useful thing he put in print.
They define heat as total distributed bet size — the sum of what you have at risk. Their own example: a portfolio risking 2% on each of five instruments has a total heat of 10%, as does a portfolio risking 5% on each of two. Then they state their finding flatly:
Setting the heat level is far and away more important than fiddling with trade timing parameters.Ed Seykota and Dave Druz, "Determining Optimal Risk", Technical Analysis of Stocks & Commodities, vol. 11 no. 3, March 1993
Same article: "at low heat, performance rises linearly with bet size", while "drawdowns are proportional to heat squared".
That last sentence is the whole lesson, and it is arithmetic rather than opinion. If your return grows roughly in proportion to how much you risk, but your drawdown grows with the square of it, then every increase in position size is a worse trade than it looks:
| Risk per trade | Expected return, relative | Drawdown, relative |
|---|---|---|
| 1% | 1× | 1× |
| 2% | 2× | 4× |
| 3% | 3× | 9× |
| 5% | 5× | 25× |
| 10% | 10× | 100× |
The coin flip, worked through on a real account size
Seykota's teaching model is a coin flip where heads wins two units and tails loses one — a fair sketch of a trend-following system with a positive edge. The question is what fixed fraction of your running balance to bet.
We reproduced his maths. One head-and-tail cycle multiplies your balance by (1 + 2f) × (1 − f), where f is the fraction bet. That expression peaks at exactly f = 0.25, delivering +12.5% per cycle — his published figure, confirmed. Here is what that means for a $2,000 account over 20 head-and-tail cycles (40 trades), with the same system and the same win rate every time:
| Risked per trade | Per two-trade cycle | $2,000 after 40 trades |
|---|---|---|
| 2% | +1.92% | $2,926 |
| 5% | +4.50% | $4,824 |
| 10% | +8.00% | $9,322 |
| 25% (theoretical optimum) | +12.50% | $21,090 |
| 50% | 0.00% | $2,000 |
| 60% | −12.00% | $155 |
Read the bottom two rows again. A system with a genuine positive edge returns exactly zero at 50% risk per trade, and loses 92% of the account at 60%. Same signals. Same win rate. Same forty trades. The only variable changed is bet size — which is the variable most new traders set by feel, and never test at all.
PRACTICE CORNER
Seykota's point only becomes real when you convert a percentage into a quantity before you click buy. Work out what 1% of your balance is, decide where the trade is wrong, and let those two numbers set your size — every major exchange shows the position quantity and the stop on the same order screen, so you can check the arithmetic before the position exists rather than after.
Referral links — they never change our assessment. Education only; most retail traders lose money.
Our position size calculator does the same arithmetic if you would rather not do it by hand, and position sizing covers the mechanics.
Did Ed Seykota really say "there are old traders and bold traders"?
He said it. He did not coin it, and the difference matters for anyone who quotes him.
Quote Investigator traces the whole family of these sayings to 1931, in an aviation safety magazine: there are old pilots and there are bold pilots, but there are no old, bold pilots. The trading version reached print in August 1982, in a newspaper column by Tom Clapp, who credited it to Bob Dinda — seven years before Market Wizards appeared. Seykota used a maxim that already existed; the internet then attached his name to it permanently.
This matters beyond pedantry. If a widely repeated quote can be misattributed for four decades without anyone checking, so can a performance figure, a drawdown, or a "he never had a losing year". The habit of checking is the transferable skill.
What does "everybody gets what they want" actually mean?
The title of his Market Wizards chapter is "Everybody Gets What They Want", and the line behind it is the most argued-over thing he ever said: that win or lose, everybody gets what they want out of the market — and that some people appear to want to lose, so they win by losing money.
It reads as glib, and it is more precise than it looks. Seykota is not claiming traders consciously want to lose. He is claiming that behaviour reveals the actual objective, and that the actual objective is often not profit — it is excitement, or being right, or the feeling of action. A trader who says they want steady returns and then triples their size after two wins is not failing at their goal; they are succeeding at a different one they have not admitted to. That is why he spent thirty years running the Trading Tribe rather than building faster indicators.
Next to the heat table above it becomes concrete: bet size is where the unadmitted goal shows up. Nobody accidentally risks 25% of their account.
Where this stops working
The 25% optimum is not a recommendation, and he says so. It is optimal for a coin flip with a known edge. Your edge is an estimate from a limited sample, and if you have overestimated it, the same maths that rewards big bets punishes them. Seykota himself writes that a trader may prefer to bet less than optimal — "say 15% to 20%" — to avoid drawdown-induced stress. In his 12-year simulation, running at optimal heat produced average drawdowns near 40% a year and a maximum drawdown over 90%, which, in his words, few investors would have the stomach for.
Fixed-fraction maths assumes your loss is actually the size you chose. It is not, if the stop does not fill where you put it. Seykota traded liquid futures; in thin crypto markets a stop is an instruction, not a promise — read slippage and liquidity and spread before treating "1% risk" as a guaranteed 1% loss.
Trend following needs trends, and pays for the wait. His method makes its money on a minority of large moves and bleeds small losses in between — long stretches of being wrong, which is exactly when people abandon a system. Diagnose the environment first: trend or range.
Heat is a portfolio number, not a per-trade one. Five crypto positions at 2% each is 10% heat — and in crypto those five frequently move as one, which makes your real heat higher than your spreadsheet says.
Common mistakes when learning from Seykota
Copying the returns story and skipping the risk article. The $5,000 account is the part that gets shared; the 1993 heat paper is the part you can use tomorrow. Treating "cut losses" as a mood. It is a number set before entering, not a decision made while watching. Hearing "systematic" as "automatic". He built the system and still had to live through its drawdowns — which is why he spent decades on psychology rather than code. Assuming bigger size is how you get bigger returns. Past the optimum, size is how you get smaller returns and far bigger drawdowns.
FAQ
Did Ed Seykota really turn $5,000 into millions?
Market Wizards (1989) reports that one client account he managed started with $5,000 in 1972 and was up over 250,000% cash-on-cash by mid-1988. It is a single client account reported by his interviewer, not an audited fund record, and the cash-on-cash figure is held down by the client's withdrawals.
Did he invent "there are old traders and bold traders"?
No. He used it in his interview, but Quote Investigator traces the trading version to an August 1982 column crediting Bob Dinda, and the underlying saying to a 1931 aviation adage about pilots.
What is portfolio heat in one sentence?
Total distributed bet size — in Seykota and Druz's own example, risking 2% on each of five instruments gives 10% heat, the same as risking 5% on each of two.
Should a beginner risk 25% per trade because that is the optimum?
No. That optimum assumes a known, fixed edge. Real edges are estimates, and Seykota's own simulation at optimal heat produced a maximum drawdown over 90%. The transferable finding is that tuning size beats tuning entries — not the specific number.