Risk-Reward

You will not get triple-digit returns from a well-diversified, low-turnover portfolio or from following traditional financial advisor advice. Mark uses leverage, takes very large concentrated positions at times, and generates tremendous turnover — all while managing risk just as stringently as he would otherwise. The US Investing Championship is a real-money contest with a million-dollar minimum in Mark's division, so professionals cannot simply gamble on penny stocks to win. The key ingredients: concentration, timing to avoid dead time, and the willingness to press when the setups are there. Mark calls 2021 his second most aggressive trading year ever, after 1995 when he was up over 400%.

Mark wraps the chart review by emphasizing what actually matters: not batting average or total P&L, but average gain versus average loss. If your average gain is 6% and your batting average is 50%, you need a 3% average loss to maintain a 2:1 reward-to-risk ratio — it is a mathematical equation. You control four things and only four things: what you buy, when you buy, how much you buy, and when you sell. You do not control how much a stock goes up. Your reliance and your assumptions must be based on what you can actually control, backed by your real trading data.

Lance explains a central sizing principle: when a stock is trending in the same direction on the intraday, daily, weekly, and monthly charts simultaneously, he adds roughly 25% more size. The alignment of multiple timeframes dramatically increases the odds of follow-through because every constituency — day traders, swing traders, and institutions — is positioned in the same direction. The confidence to size up on these rare, high-conviction setups is what separates exceptional P&L years from average ones.

For stocks already extended — Ryan uses the example of UPSC going from 150 to 400 in three months — he advises watching for pullbacks near the 21-day moving average for possible re-entry, rather than chasing the extension. The math of further upside versus a potential 30% correction changes dramatically once a stock has already made the big move. Chasing an extended stock means your risk-reward is inverted: you're risking a large correction for whatever upside remains. Waiting for a proper pullback or a new base resets the risk — you enter at a defined level with a defined stop, the same as any other entry. The discipline is treating every entry with the same standard regardless of how much you wish you'd caught the first move.

Don's biggest rule in portfolio management — which Ted cites repeatedly — is don't lose money: define open risk before entering any position and plan for what happens if the thesis is wrong. Ted frames risk and reward as siblings: the trader's job is to manage risk in a way that preserves upside. Asymmetric risk-reward isn't a vague concept but a structure built around a specific price floor. If you can identify where a stock is very unlikely to trade below, you can size accordingly. The entire Reverd system flows from this principle: risk is defined first, then everything else — position size, entry timing, exit rules — is built around it.

Schwager addresses the widespread 1% risk rule and acknowledges it is sound advice for most traders most of the time — but identifies a critical exception documented repeatedly across all five books. When conviction is very high and opportunity is clear, the great traders step on the accelerator. He tells the Druckenmiller story: when Druckenmiller showed Soros a billion-dollar position in the Deutsche mark ahead of German reunification, Soros asked 'you call that a position?' Schwager also describes Soros's Plaza Accord trade — when the yen surged 700 points overnight, Soros stopped traders from taking profits: 'The Fed just told me the yen is going up for a year. Why would I sell it on the first day?'

"Soros asks him 'how big's your position?' He says a billion. Soros says 'you call that a position?' — if you're that sure, why do you only have a billion on?"

Schwager extracts a broader lesson from the Balodimas interview: most traders think of trades as binary — you get in at X and out at Y — but the real edge comes from trading around the position. Using a simple example of buying a stock at 50 with a 60 target, he illustrates how adjusting size as the trade evolves changes the risk-reward profile: when the stock quickly runs to 55, scaling out partially locks in gains while keeping exposure to further upside. This non-binary approach keeps traders in their best positions longer and reduces the psychological pressure of all-or-nothing entries and exits. Schwager cautions that 999 out of 1,000 people attempting Balodimas’s specific style would lose everything — the transferable lesson is not the style itself, but the principle of treating positions as dynamic rather than static.

Schwager argues bluntly that win rate is the least important trading metric — because trading is not baseball, and being right more often than wrong says almost nothing about profitability. The traders he has been most impressed by often win on fewer than a third of their trades, yet generate exceptional compounding because their average winner is many times larger than their average loser. Obsessing over win rate leads to premature exits to lock in gains and holding losers too long to avoid being wrong — the exact opposite of sound practice. The right question is always the magnitude of wins relative to losses, not the frequency of being right.

"The least important is batting average. It ain’t baseball."

Williams recounts the 1987 Robbins World Cup campaign in which he turned $10,000 into over $1.1 million — an 11,300% return over twelve months. The number most people do not discuss is the one that made it possible: he risked approximately 30% of equity on every single trade. This is an order of magnitude beyond what he recommends today, and beyond anything he would attempt again. His daughter Michelle Williams later won the same competition risking ten percent per trade — a result Williams considers equally remarkable because it proves that exceptional returns are achievable at far more conservative risk levels. At one point the account was over two million dollars before a drawdown took it back. The 11,300% story is both a proof of concept and a warning: the same position sizing that drives extraordinary gains can destroy an account if the strategy has any weakness.

"I risked about 30 percent of my equity on every single trade."

Annie Duke, the former world champion poker player who earned a PhD in decision analysis, wrote a book called Thinking in Bets that Marks considers essential. The core idea: we can reduce our analytical process to structuring things as bets. The key insight comes from sports betting — it is not just about which outcome is more likely, but whether the payoff for betting on the less likely outcome is so high that it becomes compelling. That is exactly how markets work, and it is the bridge to contrarian investing. Marks published a memo in January 2020 titled ‘You Bet!’ about Duke’s approach, and the framework has shaped his thinking ever since.

"It’s not what outcome is likely to happen, but is the payoff better for investing in the team that will probably lose? Even the improbability of their success is overcome by the fact that you’re offered sufficient odds."

Steven breaks down the structural dynamics between hedge funds and retail traders in small caps. A hedge fund cannot take more than roughly 30% of a float without trapping itself — because if you own too much, there's no one to sell to without cratering the price. So hedge funds leave roughly 70% to retail. Retail has its own ceiling: once the total dollar block for a given market cap range is reached, buying power exhausts and the stock drops. Different market cap ranges have different thresholds — a $10M-$100M market cap stock might have a $600M block. Steven uses the dollar volume (volume × price) to track how close a ticker is to its ceiling. When it approaches the limit and momentum slows, the short opportunity crystallizes.

Steven describes how he dynamically adjusts risk: when he's in a winning position, he uses the unrealized gains plus his original risk to amplify his position size. For example, if he risks $300K and the trade moves significantly in his favor, he may add enough that his total risk exposure reaches $600K — but crucially, only the original $300K is his capital at risk; the rest is house money. If he's down at the beginning of the day, he becomes very conservative — sometimes too conservative, missing gains he should have captured, but he's fine with that trade-off. The dynamic scaling only activates after a profit cushion exists, ensuring he never digs a deeper hole chasing a recovery. The goal: control risk to the maximum while amplifying reward to the maximum.

"If I'm down at the very beginning, then I'll be very conservative. Sometimes I'm too conservative that I didn't make the gain I'm supposed to make, but I'm okay with that."

Moody's demonstrates a different kind of competitive moat: after Dodd-Frank, any company issuing debt must get a credit rating, and there are only three agencies with a 40/40/20 market share locked in for nearly 100 years. It is a market-mandated oligopoly with extraordinary pricing power. Enstar provides the cautionary tale: a complex insurance runoff business that compounded book value at 20%, but Chuck paid 3x book in 2007. As the secular decline in interest rates compressed all business returns over the following decade, the stock compounded at only about 7% — despite the underlying business performing. He later bought more at $56, nearly 4x below his original purchase price, when the valuation became attractive again. The lesson: starting valuation matters enormously. A 20% compounder bought at too high a multiple can produce pedestrian returns.

"It goes back to this notion of your starting valuation. They compounded book at 20%, but it took 10 years and my return was only 7%."

The forecasts that make money are those of radical change—predicting minus-2 when everyone expects 2.4. But deviant forecasts are almost impossible to make correctly on a consistent basis. The forecaster who nailed one radical call was making radical calls every time and was wrong every other time. Forecasting has no value unless someone is right consistently—and nobody is.

"The forecasts that make money are the forecasts of radical change... Of course, they do not have any value if they're incorrect."

In November 1978, Marks met Mike Milken, who explained a simple asymmetry that shaped his career. If you buy AAA bonds—perfect companies with perfect outlooks—the only possible surprise is negative. Perfection can only deteriorate. But if you buy single-B bonds that survive, the surprises are on the upside because expectations are already so low. Low expectations are a margin of safety.

"If everything's perfect, that means it can't get better. And if it can't get better, that means it can only get worse."

The secret to investing is not buying good assets—it's buying things for less than they're worth. The Nifty Fifty were America's greatest companies, but buying them at 80-90x earnings in 1968 lost 90% by 1973. Meanwhile, investing in the "worst" companies through high-yield bonds made the most money—because the price was right. But the key three words in Milken's pitch were: "and they survive."

"What determines the success of an investor is not what he buys but what he pays for it."

Graham and Dodd's 1940 "Security Analysis" called bond investing a "negative art." All bonds that pay, pay the same 5%—it doesn't matter which ones you pick among the survivors. The only thing that matters is excluding the ones that default. Your greatness as a bond investor comes not from what you buy but from what you successfully exclude from the portfolio.

"The greatness of your performance comes not from what you buy but from what you exclude."

You can never estimate how long it takes for price to converge to value—which is exactly why being too far ahead of your time feels identical to being wrong. Fixed income investing has a structural advantage: a bond's maturity date is a guaranteed catalyst that forces convergence. Most equities have no such catalyst—an undervalued stock may stay undervalued indefinitely.

"There's no way to estimate the time... and that's the reason why being too far ahead of your time is indistinguishable from being wrong."

In 1978, 90% of institutions had explicit rules against high-yield bond investing. The pitch to early clients: "You should do this because nobody else is." You make money doing what nobody wants to do that turns out to have value. Oaktree's distressed debt strategy exemplifies this—buying the debt of bankrupt companies for less than it's worth has returned approximately 23% annually for 28 years, before fees and without leverage.

"You make no money doing the things that everybody wants to do. You make money by doing the things that nobody wants to do who then turn out to have value."